2022/12/05 04:30:37 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] CUDA available: True numpy_random_seed: 758291746 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.10.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.11.0+cu111 OpenCV: 4.5.5 MMEngine: 0.3.2 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None diff_rank_seed: False deterministic: False Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2022/12/05 04:30:39 - mmengine - INFO - Config: default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=20, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=1, save_best='auto', max_keep_ckpts=2), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffers=dict(type='SyncBuffersHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='ActionVisualizer', vis_backends=[dict(type='LocalVisBackend')]) log_level = 'INFO' load_from = None resume = False url = 'https://download.openmmlab.com/mmaction/v1.0/recognition/slowonly/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb_20221013-15b93b10.pth' model = dict( type='FastRCNN', _scope_='mmdet', init_cfg=dict( type='Pretrained', checkpoint= 'https://download.openmmlab.com/mmaction/v1.0/recognition/slowonly/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb_20221013-15b93b10.pth' ), backbone=dict( type='ResNet3dSlowOnly', depth=50, pretrained=None, pretrained2d=False, lateral=False, num_stages=4, conv1_kernel=(1, 7, 7), conv1_stride_t=1, pool1_stride_t=1, spatial_strides=(1, 2, 2, 1)), roi_head=dict( type='AVARoIHead', bbox_roi_extractor=dict( type='SingleRoIExtractor3D', roi_layer_type='RoIAlign', output_size=8, with_temporal_pool=True, with_global=True, temporal_pool_mode='max'), bbox_head=dict( type='BBoxHeadAVA', in_channels=4096, num_classes=81, multilabel=True, dropout_ratio=0.5, mlp_head=True, focal_gamma=1.0)), data_preprocessor=dict( type='ActionDataPreprocessor', _scope_='mmaction', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], format_shape='NCTHW'), train_cfg=dict( rcnn=dict( assigner=dict( type='MaxIoUAssignerAVA', pos_iou_thr=0.9, neg_iou_thr=0.9, min_pos_iou=0.9), sampler=dict( type='RandomSampler', num=32, pos_fraction=1, neg_pos_ub=-1, add_gt_as_proposals=True), pos_weight=1.0)), test_cfg=dict(rcnn=None)) dataset_type = 'AVAKineticsDataset' data_root = 'data/ava_kinetics/rawframes' anno_root = 'data/ava_kinetics/annotations' ann_file_train = 'data/ava_kinetics/annotations/ava_train_v2.2.csv' ann_file_val = 'data/ava_kinetics/annotations/ava_val_v2.2.csv' exclude_file_train = 'data/ava_kinetics/annotations/ava_train_excluded_timestamps_v2.2.csv' exclude_file_val = 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv' label_file = 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt' proposal_file_train = 'data/ava_kinetics/annotations/ava_dense_proposals_train.FAIR.recall_93.9.pkl' proposal_file_val = 'data/ava_kinetics/annotations/ava_dense_proposals_val.FAIR.recall_93.9.pkl' file_client_args = dict( io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })) train_pipeline = [ dict(type='SampleAVAFrames', clip_len=16, frame_interval=4), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='RandomRescale', scale_range=(256, 320)), dict(type='RandomCrop', size=256), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ] val_pipeline = [ dict( type='SampleAVAFrames', clip_len=16, frame_interval=4, test_mode=True), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='Resize', scale=(-1, 256)), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ] train_dataloader = dict( batch_size=8, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='AVAKineticsDataset', ann_file='data/ava_kinetics/annotations/ava_train_v2.2.csv', exclude_file= 'data/ava_kinetics/annotations/ava_train_excluded_timestamps_v2.2.csv', pipeline=[ dict(type='SampleAVAFrames', clip_len=16, frame_interval=4), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='RandomRescale', scale_range=(256, 320)), dict(type='RandomCrop', size=256), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ], label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', proposal_file= 'data/ava_kinetics/annotations/ava_dense_proposals_train.FAIR.recall_93.9.pkl', data_prefix=dict(img='data/ava_kinetics/rawframes'))) val_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='AVAKineticsDataset', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv', pipeline=[ dict( type='SampleAVAFrames', clip_len=16, frame_interval=4, test_mode=True), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='Resize', scale=(-1, 256)), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ], label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', proposal_file= 'data/ava_kinetics/annotations/ava_dense_proposals_val.FAIR.recall_93.9.pkl', data_prefix=dict(img='data/ava_kinetics/rawframes'), test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='AVAKineticsDataset', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv', pipeline=[ dict( type='SampleAVAFrames', clip_len=16, frame_interval=4, test_mode=True), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='Resize', scale=(-1, 256)), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ], label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', proposal_file= 'data/ava_kinetics/annotations/ava_dense_proposals_val.FAIR.recall_93.9.pkl', data_prefix=dict(img='data/ava_kinetics/rawframes'), test_mode=True)) val_evaluator = dict( type='AVAMetric', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv') test_evaluator = dict( type='AVAMetric', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv') train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=10, val_begin=1, val_interval=1) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict( type='LinearLR', start_factor=0.1, by_epoch=True, begin=0, end=2, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=8, eta_min=0, by_epoch=True, begin=2, end=10, convert_to_iter_based=True) ] optim_wrapper = dict( optimizer=dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=1e-05), clip_grad=dict(max_norm=40, norm_type=2)) launcher = 'pytorch' work_dir = './work_dirs/bags' randomness = dict(seed=None, diff_rank_seed=False, deterministic=False) 2022/12/05 04:30:39 - mmengine - INFO - Result has been saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/modules_statistic_results.json 2022/12/05 04:30:41 - 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 (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2022/12/05 04:31:14 - mmengine - INFO - 284842 out of 284842 frames are valid. 2022/12/05 04:31:29 - mmengine - INFO - 50252 out of 50252 frames are valid. 2022/12/05 04:31:33 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/bags. 2022/12/05 04:31:52 - mmengine - INFO - Epoch(train) [1][ 20/4451] lr: 1.0192e-02 eta: 11:48:26 time: 0.9554 data_time: 0.4417 memory: 16785 grad_norm: 2.0154 loss: 0.1131 recall@thr=0.5: 0.0317 prec@thr=0.5: 0.0952 recall@top3: 0.4444 prec@top3: 0.3492 recall@top5: 0.6944 prec@top5: 0.3524 loss_action_cls: 0.1131 2022/12/05 04:32:02 - mmengine - INFO - Epoch(train) [1][ 40/4451] lr: 1.0394e-02 eta: 8:58:08 time: 0.4967 data_time: 0.0106 memory: 16785 grad_norm: 1.4863 loss: 0.0631 recall@thr=0.5: 0.0278 prec@thr=0.5: 0.0833 recall@top3: 0.1806 prec@top3: 0.1944 recall@top5: 0.2917 prec@top5: 0.1833 loss_action_cls: 0.0631 2022/12/05 04:32:12 - mmengine - INFO - Epoch(train) [1][ 60/4451] lr: 1.0597e-02 eta: 8:01:10 time: 0.4964 data_time: 0.0104 memory: 16785 grad_norm: 0.8817 loss: 0.0470 recall@thr=0.5: 0.4118 prec@thr=0.5: 0.4706 recall@top3: 0.5588 prec@top3: 0.5098 recall@top5: 0.8235 prec@top5: 0.4235 loss_action_cls: 0.0470 2022/12/05 04:32:22 - mmengine - INFO - Epoch(train) [1][ 80/4451] lr: 1.0799e-02 eta: 7:32:19 time: 0.4948 data_time: 0.0100 memory: 16785 grad_norm: 0.5291 loss: 0.0399 recall@thr=0.5: 0.3051 prec@thr=0.5: 0.2756 recall@top3: 0.4859 prec@top3: 0.3718 recall@top5: 0.7577 prec@top5: 0.3462 loss_action_cls: 0.0399 2022/12/05 04:32:32 - mmengine - INFO - Epoch(train) [1][ 100/4451] lr: 1.1001e-02 eta: 7:14:57 time: 0.4949 data_time: 0.0101 memory: 16785 grad_norm: 0.4444 loss: 0.0344 recall@thr=0.5: 0.2569 prec@thr=0.5: 0.3194 recall@top3: 0.7500 prec@top3: 0.4306 recall@top5: 0.9167 prec@top5: 0.3083 loss_action_cls: 0.0344 2022/12/05 04:32:42 - mmengine - INFO - Epoch(train) [1][ 120/4451] lr: 1.1203e-02 eta: 7:03:29 time: 0.4962 data_time: 0.0103 memory: 16785 grad_norm: 0.3529 loss: 0.0364 recall@thr=0.5: 0.2500 prec@thr=0.5: 0.3939 recall@top3: 0.4697 prec@top3: 0.3636 recall@top5: 0.6136 prec@top5: 0.2909 loss_action_cls: 0.0364 2022/12/05 04:32:51 - mmengine - INFO - Epoch(train) [1][ 140/4451] lr: 1.1405e-02 eta: 6:55:10 time: 0.4955 data_time: 0.0102 memory: 16785 grad_norm: 0.3085 loss: 0.0339 recall@thr=0.5: 0.4491 prec@thr=0.5: 0.5926 recall@top3: 0.5833 prec@top3: 0.4630 recall@top5: 0.6944 prec@top5: 0.3333 loss_action_cls: 0.0339 2022/12/05 04:33:01 - mmengine - INFO - Epoch(train) [1][ 160/4451] lr: 1.1608e-02 eta: 6:48:54 time: 0.4956 data_time: 0.0102 memory: 16785 grad_norm: 0.3081 loss: 0.0349 recall@thr=0.5: 0.1024 prec@thr=0.5: 0.2286 recall@top3: 0.4333 prec@top3: 0.4190 recall@top5: 0.7167 prec@top5: 0.4000 loss_action_cls: 0.0349 2022/12/05 04:33:11 - mmengine - INFO - Epoch(train) [1][ 180/4451] lr: 1.1810e-02 eta: 6:43:57 time: 0.4952 data_time: 0.0100 memory: 16785 grad_norm: 0.3440 loss: 0.0341 recall@thr=0.5: 0.4324 prec@thr=0.5: 0.4907 recall@top3: 0.6833 prec@top3: 0.5741 recall@top5: 0.7991 prec@top5: 0.4333 loss_action_cls: 0.0341 2022/12/05 04:33:21 - mmengine - INFO - Epoch(train) [1][ 200/4451] lr: 1.2012e-02 eta: 6:40:00 time: 0.4958 data_time: 0.0099 memory: 16785 grad_norm: 0.3655 loss: 0.0370 recall@thr=0.5: 0.4217 prec@thr=0.5: 0.6522 recall@top3: 0.6717 prec@top3: 0.6377 recall@top5: 0.8167 prec@top5: 0.4783 loss_action_cls: 0.0370 2022/12/05 04:33:31 - mmengine - INFO - Epoch(train) [1][ 220/4451] lr: 1.2214e-02 eta: 6:36:39 time: 0.4944 data_time: 0.0100 memory: 16785 grad_norm: 0.3225 loss: 0.0299 recall@thr=0.5: 0.3036 prec@thr=0.5: 0.4107 recall@top3: 0.5655 prec@top3: 0.3452 recall@top5: 0.7976 prec@top5: 0.2857 loss_action_cls: 0.0299 2022/12/05 04:33:41 - mmengine - INFO - Epoch(train) [1][ 240/4451] lr: 1.2417e-02 eta: 6:33:51 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.2766 loss: 0.0328 recall@thr=0.5: 0.4253 prec@thr=0.5: 0.7011 recall@top3: 0.5805 prec@top3: 0.4943 recall@top5: 0.8132 prec@top5: 0.4345 loss_action_cls: 0.0328 2022/12/05 04:33:51 - mmengine - INFO - Epoch(train) [1][ 260/4451] lr: 1.2619e-02 eta: 6:31:26 time: 0.4945 data_time: 0.0102 memory: 16785 grad_norm: 0.3388 loss: 0.0315 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.5833 recall@top3: 0.6875 prec@top3: 0.4375 recall@top5: 0.8854 prec@top5: 0.3500 loss_action_cls: 0.0315 2022/12/05 04:34:01 - mmengine - INFO - Epoch(train) [1][ 280/4451] lr: 1.2821e-02 eta: 6:29:20 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.3005 loss: 0.0351 recall@thr=0.5: 0.3611 prec@thr=0.5: 0.4861 recall@top3: 0.4861 prec@top3: 0.4306 recall@top5: 0.7083 prec@top5: 0.3750 loss_action_cls: 0.0351 2022/12/05 04:34:11 - mmengine - INFO - Epoch(train) [1][ 300/4451] lr: 1.3023e-02 eta: 6:27:27 time: 0.4934 data_time: 0.0102 memory: 16785 grad_norm: 0.2540 loss: 0.0329 recall@thr=0.5: 0.4784 prec@thr=0.5: 0.5895 recall@top3: 0.6235 prec@top3: 0.5185 recall@top5: 0.8025 prec@top5: 0.4074 loss_action_cls: 0.0329 2022/12/05 04:34:20 - mmengine - INFO - Epoch(train) [1][ 320/4451] lr: 1.3225e-02 eta: 6:25:45 time: 0.4929 data_time: 0.0101 memory: 16785 grad_norm: 0.2711 loss: 0.0327 recall@thr=0.5: 0.3810 prec@thr=0.5: 0.5357 recall@top3: 0.5476 prec@top3: 0.4405 recall@top5: 0.8512 prec@top5: 0.3786 loss_action_cls: 0.0327 2022/12/05 04:34:30 - mmengine - INFO - Epoch(train) [1][ 340/4451] lr: 1.3428e-02 eta: 6:24:18 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.2810 loss: 0.0339 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.4323 recall@top3: 0.5104 prec@top3: 0.3958 recall@top5: 0.6354 prec@top5: 0.3000 loss_action_cls: 0.0339 2022/12/05 04:34:40 - mmengine - INFO - Epoch(train) [1][ 360/4451] lr: 1.3630e-02 eta: 6:22:57 time: 0.4933 data_time: 0.0101 memory: 16785 grad_norm: 0.2586 loss: 0.0296 recall@thr=0.5: 0.3968 prec@thr=0.5: 0.4246 recall@top3: 0.6190 prec@top3: 0.4762 recall@top5: 0.8810 prec@top5: 0.4000 loss_action_cls: 0.0296 2022/12/05 04:34:50 - mmengine - INFO - Epoch(train) [1][ 380/4451] lr: 1.3832e-02 eta: 6:21:42 time: 0.4928 data_time: 0.0098 memory: 16785 grad_norm: 0.2720 loss: 0.0325 recall@thr=0.5: 0.3450 prec@thr=0.5: 0.5167 recall@top3: 0.6108 prec@top3: 0.5500 recall@top5: 0.7192 prec@top5: 0.3700 loss_action_cls: 0.0325 2022/12/05 04:35:00 - mmengine - INFO - Epoch(train) [1][ 400/4451] lr: 1.4034e-02 eta: 6:20:34 time: 0.4926 data_time: 0.0098 memory: 16785 grad_norm: 0.2640 loss: 0.0305 recall@thr=0.5: 0.3917 prec@thr=0.5: 0.5500 recall@top3: 0.6500 prec@top3: 0.5000 recall@top5: 0.8500 prec@top5: 0.4000 loss_action_cls: 0.0305 2022/12/05 04:35:10 - mmengine - INFO - Epoch(train) [1][ 420/4451] lr: 1.4237e-02 eta: 6:19:33 time: 0.4940 data_time: 0.0097 memory: 16785 grad_norm: 0.2655 loss: 0.0305 recall@thr=0.5: 0.3391 prec@thr=0.5: 0.5517 recall@top3: 0.6149 prec@top3: 0.5287 recall@top5: 0.7586 prec@top5: 0.3931 loss_action_cls: 0.0305 2022/12/05 04:35:20 - mmengine - INFO - Epoch(train) [1][ 440/4451] lr: 1.4439e-02 eta: 6:18:38 time: 0.4942 data_time: 0.0097 memory: 16785 grad_norm: 0.2909 loss: 0.0309 recall@thr=0.5: 0.3160 prec@thr=0.5: 0.5278 recall@top3: 0.5903 prec@top3: 0.5000 recall@top5: 0.6910 prec@top5: 0.3667 loss_action_cls: 0.0309 2022/12/05 04:35:30 - mmengine - INFO - Epoch(train) [1][ 460/4451] lr: 1.4641e-02 eta: 6:17:46 time: 0.4935 data_time: 0.0099 memory: 16785 grad_norm: 0.3063 loss: 0.0320 recall@thr=0.5: 0.3431 prec@thr=0.5: 0.2941 recall@top3: 0.7549 prec@top3: 0.4706 recall@top5: 0.9216 prec@top5: 0.3412 loss_action_cls: 0.0320 2022/12/05 04:35:39 - mmengine - INFO - Epoch(train) [1][ 480/4451] lr: 1.4843e-02 eta: 6:16:58 time: 0.4938 data_time: 0.0102 memory: 16785 grad_norm: 0.2827 loss: 0.0311 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.6875 recall@top3: 0.5625 prec@top3: 0.3542 recall@top5: 0.7708 prec@top5: 0.2875 loss_action_cls: 0.0311 2022/12/05 04:35:49 - mmengine - INFO - Epoch(train) [1][ 500/4451] lr: 1.5046e-02 eta: 6:16:10 time: 0.4925 data_time: 0.0100 memory: 16785 grad_norm: 0.2326 loss: 0.0294 recall@thr=0.5: 0.3007 prec@thr=0.5: 0.3551 recall@top3: 0.5688 prec@top3: 0.3623 recall@top5: 0.7862 prec@top5: 0.3217 loss_action_cls: 0.0294 2022/12/05 04:35:59 - mmengine - INFO - Epoch(train) [1][ 520/4451] lr: 1.5248e-02 eta: 6:15:27 time: 0.4937 data_time: 0.0099 memory: 16785 grad_norm: 0.2560 loss: 0.0299 recall@thr=0.5: 0.2692 prec@thr=0.5: 0.2051 recall@top3: 0.4615 prec@top3: 0.3462 recall@top5: 0.6891 prec@top5: 0.3000 loss_action_cls: 0.0299 2022/12/05 04:36:09 - mmengine - INFO - Epoch(train) [1][ 540/4451] lr: 1.5450e-02 eta: 6:14:47 time: 0.4935 data_time: 0.0097 memory: 16785 grad_norm: 0.2750 loss: 0.0291 recall@thr=0.5: 0.5516 prec@thr=0.5: 0.7474 recall@top3: 0.7089 prec@top3: 0.6979 recall@top5: 0.9130 prec@top5: 0.5500 loss_action_cls: 0.0291 2022/12/05 04:36:19 - mmengine - INFO - Epoch(train) [1][ 560/4451] lr: 1.5652e-02 eta: 6:14:08 time: 0.4928 data_time: 0.0098 memory: 16785 grad_norm: 0.2423 loss: 0.0308 recall@thr=0.5: 0.3111 prec@thr=0.5: 0.3222 recall@top3: 0.6389 prec@top3: 0.4444 recall@top5: 0.8111 prec@top5: 0.3600 loss_action_cls: 0.0308 2022/12/05 04:36:29 - mmengine - INFO - Epoch(train) [1][ 580/4451] lr: 1.5854e-02 eta: 6:13:39 time: 0.4988 data_time: 0.0152 memory: 16785 grad_norm: 0.2539 loss: 0.0302 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.4216 recall@top3: 0.5490 prec@top3: 0.3725 recall@top5: 0.8039 prec@top5: 0.2941 loss_action_cls: 0.0302 2022/12/05 04:36:39 - mmengine - INFO - Epoch(train) [1][ 600/4451] lr: 1.6057e-02 eta: 6:13:04 time: 0.4930 data_time: 0.0099 memory: 16785 grad_norm: 0.2524 loss: 0.0277 recall@thr=0.5: 0.3307 prec@thr=0.5: 0.3724 recall@top3: 0.6094 prec@top3: 0.4167 recall@top5: 0.7865 prec@top5: 0.3437 loss_action_cls: 0.0277 2022/12/05 04:36:49 - mmengine - INFO - Epoch(train) [1][ 620/4451] lr: 1.6259e-02 eta: 6:12:32 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.2945 loss: 0.0291 recall@thr=0.5: 0.3000 prec@thr=0.5: 0.3600 recall@top3: 0.5733 prec@top3: 0.3867 recall@top5: 0.7333 prec@top5: 0.3040 loss_action_cls: 0.0291 2022/12/05 04:36:58 - mmengine - INFO - Epoch(train) [1][ 640/4451] lr: 1.6461e-02 eta: 6:12:00 time: 0.4936 data_time: 0.0097 memory: 16785 grad_norm: 0.2498 loss: 0.0292 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.5540 recall@top3: 0.7063 prec@top3: 0.4921 recall@top5: 0.9325 prec@top5: 0.4095 loss_action_cls: 0.0292 2022/12/05 04:37:08 - mmengine - INFO - Epoch(train) [1][ 660/4451] lr: 1.6663e-02 eta: 6:11:30 time: 0.4940 data_time: 0.0098 memory: 16785 grad_norm: 0.2433 loss: 0.0287 recall@thr=0.5: 0.2436 prec@thr=0.5: 0.4423 recall@top3: 0.6763 prec@top3: 0.5641 recall@top5: 0.8782 prec@top5: 0.4692 loss_action_cls: 0.0287 2022/12/05 04:37:18 - mmengine - INFO - Epoch(train) [1][ 680/4451] lr: 1.6866e-02 eta: 6:11:01 time: 0.4936 data_time: 0.0098 memory: 16785 grad_norm: 0.2451 loss: 0.0294 recall@thr=0.5: 0.3326 prec@thr=0.5: 0.5720 recall@top3: 0.4780 prec@top3: 0.4697 recall@top5: 0.8015 prec@top5: 0.4364 loss_action_cls: 0.0294 2022/12/05 04:37:28 - mmengine - INFO - Epoch(train) [1][ 700/4451] lr: 1.7068e-02 eta: 6:10:34 time: 0.4942 data_time: 0.0097 memory: 16785 grad_norm: 0.2179 loss: 0.0295 recall@thr=0.5: 0.6149 prec@thr=0.5: 0.7759 recall@top3: 0.7184 prec@top3: 0.6207 recall@top5: 0.8851 prec@top5: 0.4828 loss_action_cls: 0.0295 2022/12/05 04:37:38 - mmengine - INFO - Epoch(train) [1][ 720/4451] lr: 1.7270e-02 eta: 6:10:07 time: 0.4941 data_time: 0.0107 memory: 16785 grad_norm: 0.2615 loss: 0.0294 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.4881 recall@top3: 0.7063 prec@top3: 0.5079 recall@top5: 0.8492 prec@top5: 0.3714 loss_action_cls: 0.0294 2022/12/05 04:37:48 - mmengine - INFO - Epoch(train) [1][ 740/4451] lr: 1.7472e-02 eta: 6:09:43 time: 0.4956 data_time: 0.0121 memory: 16785 grad_norm: 0.2228 loss: 0.0287 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.7111 recall@top3: 0.7889 prec@top3: 0.4889 recall@top5: 0.8889 prec@top5: 0.3333 loss_action_cls: 0.0287 2022/12/05 04:37:58 - mmengine - INFO - Epoch(train) [1][ 760/4451] lr: 1.7674e-02 eta: 6:09:19 time: 0.4940 data_time: 0.0098 memory: 16785 grad_norm: 0.2327 loss: 0.0268 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.6354 recall@top3: 0.9062 prec@top3: 0.5625 recall@top5: 0.9844 prec@top5: 0.3875 loss_action_cls: 0.0268 2022/12/05 04:38:08 - mmengine - INFO - Epoch(train) [1][ 780/4451] lr: 1.7877e-02 eta: 6:08:53 time: 0.4932 data_time: 0.0099 memory: 16785 grad_norm: 0.2294 loss: 0.0274 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.5754 recall@top3: 0.6984 prec@top3: 0.5397 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0274 2022/12/05 04:38:18 - mmengine - INFO - Epoch(train) [1][ 800/4451] lr: 1.8079e-02 eta: 6:08:29 time: 0.4934 data_time: 0.0099 memory: 16785 grad_norm: 0.2638 loss: 0.0312 recall@thr=0.5: 0.2143 prec@thr=0.5: 0.2698 recall@top3: 0.7024 prec@top3: 0.4127 recall@top5: 0.8849 prec@top5: 0.3048 loss_action_cls: 0.0312 2022/12/05 04:38:27 - mmengine - INFO - Epoch(train) [1][ 820/4451] lr: 1.8281e-02 eta: 6:08:06 time: 0.4938 data_time: 0.0099 memory: 16785 grad_norm: 0.2531 loss: 0.0312 recall@thr=0.5: 0.5109 prec@thr=0.5: 0.6823 recall@top3: 0.6776 prec@top3: 0.5104 recall@top5: 0.8724 prec@top5: 0.4125 loss_action_cls: 0.0312 2022/12/05 04:38:37 - mmengine - INFO - Epoch(train) [1][ 840/4451] lr: 1.8483e-02 eta: 6:07:44 time: 0.4932 data_time: 0.0101 memory: 16785 grad_norm: 0.2050 loss: 0.0309 recall@thr=0.5: 0.2941 prec@thr=0.5: 0.2157 recall@top3: 0.5000 prec@top3: 0.3529 recall@top5: 0.5686 prec@top5: 0.2471 loss_action_cls: 0.0309 2022/12/05 04:38:47 - mmengine - INFO - Epoch(train) [1][ 860/4451] lr: 1.8686e-02 eta: 6:07:21 time: 0.4934 data_time: 0.0098 memory: 16785 grad_norm: 0.2360 loss: 0.0279 recall@thr=0.5: 0.3725 prec@thr=0.5: 0.5294 recall@top3: 0.7059 prec@top3: 0.5686 recall@top5: 0.8333 prec@top5: 0.4235 loss_action_cls: 0.0279 2022/12/05 04:38:57 - mmengine - INFO - Epoch(train) [1][ 880/4451] lr: 1.8888e-02 eta: 6:07:00 time: 0.4941 data_time: 0.0099 memory: 16785 grad_norm: 0.2116 loss: 0.0261 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6667 recall@top3: 0.9583 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.3750 loss_action_cls: 0.0261 2022/12/05 04:39:07 - mmengine - INFO - Epoch(train) [1][ 900/4451] lr: 1.9090e-02 eta: 6:06:40 time: 0.4939 data_time: 0.0096 memory: 16785 grad_norm: 0.2440 loss: 0.0278 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.6510 recall@top3: 0.8750 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.4750 loss_action_cls: 0.0278 2022/12/05 04:39:17 - mmengine - INFO - Epoch(train) [1][ 920/4451] lr: 1.9292e-02 eta: 6:06:20 time: 0.4937 data_time: 0.0098 memory: 16785 grad_norm: 0.2109 loss: 0.0280 recall@thr=0.5: 0.5389 prec@thr=0.5: 0.5361 recall@top3: 0.6639 prec@top3: 0.5444 recall@top5: 0.8611 prec@top5: 0.4400 loss_action_cls: 0.0280 2022/12/05 04:39:27 - mmengine - INFO - Epoch(train) [1][ 940/4451] lr: 1.9494e-02 eta: 6:06:00 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.2241 loss: 0.0248 recall@thr=0.5: 0.5145 prec@thr=0.5: 0.6123 recall@top3: 0.6413 prec@top3: 0.6232 recall@top5: 0.9275 prec@top5: 0.5304 loss_action_cls: 0.0248 2022/12/05 04:39:37 - mmengine - INFO - Epoch(train) [1][ 960/4451] lr: 1.9697e-02 eta: 6:05:41 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.2239 loss: 0.0281 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6354 recall@top3: 0.8125 prec@top3: 0.5417 recall@top5: 0.8333 prec@top5: 0.3375 loss_action_cls: 0.0281 2022/12/05 04:39:46 - mmengine - INFO - Epoch(train) [1][ 980/4451] lr: 1.9899e-02 eta: 6:05:22 time: 0.4933 data_time: 0.0098 memory: 16785 grad_norm: 0.2386 loss: 0.0296 recall@thr=0.5: 0.7118 prec@thr=0.5: 0.7431 recall@top3: 0.7569 prec@top3: 0.6528 recall@top5: 0.8194 prec@top5: 0.4333 loss_action_cls: 0.0296 2022/12/05 04:39:56 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 04:39:56 - mmengine - INFO - Epoch(train) [1][1000/4451] lr: 2.0101e-02 eta: 6:05:03 time: 0.4938 data_time: 0.0097 memory: 16785 grad_norm: 0.2304 loss: 0.0287 recall@thr=0.5: 0.3932 prec@thr=0.5: 0.4394 recall@top3: 0.7038 prec@top3: 0.5606 recall@top5: 0.9076 prec@top5: 0.4273 loss_action_cls: 0.0287 2022/12/05 04:40:06 - mmengine - INFO - Epoch(train) [1][1020/4451] lr: 2.0303e-02 eta: 6:04:45 time: 0.4941 data_time: 0.0098 memory: 16785 grad_norm: 0.1994 loss: 0.0287 recall@thr=0.5: 0.3864 prec@thr=0.5: 0.5606 recall@top3: 0.5644 prec@top3: 0.4848 recall@top5: 0.8030 prec@top5: 0.4455 loss_action_cls: 0.0287 2022/12/05 04:40:16 - mmengine - INFO - Epoch(train) [1][1040/4451] lr: 2.0506e-02 eta: 6:04:27 time: 0.4939 data_time: 0.0098 memory: 16785 grad_norm: 0.2302 loss: 0.0270 recall@thr=0.5: 0.4137 prec@thr=0.5: 0.5774 recall@top3: 0.5923 prec@top3: 0.3929 recall@top5: 0.8452 prec@top5: 0.3429 loss_action_cls: 0.0270 2022/12/05 04:40:26 - mmengine - INFO - Epoch(train) [1][1060/4451] lr: 2.0708e-02 eta: 6:04:09 time: 0.4934 data_time: 0.0099 memory: 16785 grad_norm: 0.2001 loss: 0.0277 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6491 recall@top3: 0.8289 prec@top3: 0.6491 recall@top5: 0.9825 prec@top5: 0.4842 loss_action_cls: 0.0277 2022/12/05 04:40:36 - mmengine - INFO - Epoch(train) [1][1080/4451] lr: 2.0910e-02 eta: 6:03:52 time: 0.4939 data_time: 0.0100 memory: 16785 grad_norm: 0.2190 loss: 0.0295 recall@thr=0.5: 0.3988 prec@thr=0.5: 0.5536 recall@top3: 0.5952 prec@top3: 0.5238 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0295 2022/12/05 04:40:46 - mmengine - INFO - Epoch(train) [1][1100/4451] lr: 2.1112e-02 eta: 6:03:35 time: 0.4938 data_time: 0.0096 memory: 16785 grad_norm: 0.2254 loss: 0.0262 recall@thr=0.5: 0.2889 prec@thr=0.5: 0.5500 recall@top3: 0.6000 prec@top3: 0.5333 recall@top5: 0.8956 prec@top5: 0.4800 loss_action_cls: 0.0262 2022/12/05 04:40:56 - mmengine - INFO - Epoch(train) [1][1120/4451] lr: 2.1314e-02 eta: 6:03:19 time: 0.4952 data_time: 0.0098 memory: 16785 grad_norm: 0.1989 loss: 0.0256 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6759 recall@top3: 0.7907 prec@top3: 0.4815 recall@top5: 0.8870 prec@top5: 0.3444 loss_action_cls: 0.0256 2022/12/05 04:41:05 - mmengine - INFO - Epoch(train) [1][1140/4451] lr: 2.1517e-02 eta: 6:03:02 time: 0.4937 data_time: 0.0102 memory: 16785 grad_norm: 0.1941 loss: 0.0281 recall@thr=0.5: 0.3968 prec@thr=0.5: 0.5000 recall@top3: 0.6429 prec@top3: 0.4921 recall@top5: 0.8730 prec@top5: 0.4190 loss_action_cls: 0.0281 2022/12/05 04:41:15 - mmengine - INFO - Epoch(train) [1][1160/4451] lr: 2.1719e-02 eta: 6:02:45 time: 0.4930 data_time: 0.0097 memory: 16785 grad_norm: 0.1881 loss: 0.0263 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6250 recall@top3: 0.7583 prec@top3: 0.5667 recall@top5: 0.9375 prec@top5: 0.4400 loss_action_cls: 0.0263 2022/12/05 04:41:25 - mmengine - INFO - Epoch(train) [1][1180/4451] lr: 2.1921e-02 eta: 6:02:30 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1857 loss: 0.0283 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6310 recall@top3: 0.6984 prec@top3: 0.4127 recall@top5: 0.7619 prec@top5: 0.2762 loss_action_cls: 0.0283 2022/12/05 04:41:35 - mmengine - INFO - Epoch(train) [1][1200/4451] lr: 2.2123e-02 eta: 6:02:14 time: 0.4939 data_time: 0.0100 memory: 16785 grad_norm: 0.2087 loss: 0.0280 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.6667 recall@top3: 0.7179 prec@top3: 0.6667 recall@top5: 0.9359 prec@top5: 0.5231 loss_action_cls: 0.0280 2022/12/05 04:41:45 - mmengine - INFO - Epoch(train) [1][1220/4451] lr: 2.2326e-02 eta: 6:01:58 time: 0.4937 data_time: 0.0099 memory: 16785 grad_norm: 0.2092 loss: 0.0273 recall@thr=0.5: 0.3274 prec@thr=0.5: 0.5238 recall@top3: 0.6607 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.4286 loss_action_cls: 0.0273 2022/12/05 04:41:55 - mmengine - INFO - Epoch(train) [1][1240/4451] lr: 2.2528e-02 eta: 6:01:43 time: 0.4939 data_time: 0.0100 memory: 16785 grad_norm: 0.2158 loss: 0.0297 recall@thr=0.5: 0.4617 prec@thr=0.5: 0.6667 recall@top3: 0.7233 prec@top3: 0.5833 recall@top5: 0.9100 prec@top5: 0.4500 loss_action_cls: 0.0297 2022/12/05 04:42:05 - mmengine - INFO - Epoch(train) [1][1260/4451] lr: 2.2730e-02 eta: 6:01:28 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.2189 loss: 0.0289 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.7315 recall@top3: 0.5694 prec@top3: 0.4259 recall@top5: 0.7500 prec@top5: 0.3667 loss_action_cls: 0.0289 2022/12/05 04:42:15 - mmengine - INFO - Epoch(train) [1][1280/4451] lr: 2.2932e-02 eta: 6:01:13 time: 0.4943 data_time: 0.0097 memory: 16785 grad_norm: 0.1893 loss: 0.0271 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.4537 recall@top3: 0.6111 prec@top3: 0.4074 recall@top5: 0.8519 prec@top5: 0.3444 loss_action_cls: 0.0271 2022/12/05 04:42:25 - mmengine - INFO - Epoch(train) [1][1300/4451] lr: 2.3134e-02 eta: 6:01:00 time: 0.4967 data_time: 0.0108 memory: 16785 grad_norm: 0.1992 loss: 0.0271 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.4412 recall@top3: 0.7353 prec@top3: 0.4118 recall@top5: 0.7941 prec@top5: 0.2706 loss_action_cls: 0.0271 2022/12/05 04:42:34 - mmengine - INFO - Epoch(train) [1][1320/4451] lr: 2.3337e-02 eta: 6:00:45 time: 0.4935 data_time: 0.0100 memory: 16785 grad_norm: 0.2038 loss: 0.0275 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.7500 recall@top3: 0.7396 prec@top3: 0.7639 recall@top5: 0.8750 prec@top5: 0.5667 loss_action_cls: 0.0275 2022/12/05 04:42:44 - mmengine - INFO - Epoch(train) [1][1340/4451] lr: 2.3539e-02 eta: 6:00:30 time: 0.4943 data_time: 0.0100 memory: 16785 grad_norm: 0.1921 loss: 0.0242 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.7143 recall@top3: 0.6905 prec@top3: 0.5238 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0242 2022/12/05 04:42:54 - mmengine - INFO - Epoch(train) [1][1360/4451] lr: 2.3741e-02 eta: 6:00:15 time: 0.4937 data_time: 0.0098 memory: 16785 grad_norm: 0.1860 loss: 0.0254 recall@thr=0.5: 0.3739 prec@thr=0.5: 0.6594 recall@top3: 0.6304 prec@top3: 0.5652 recall@top5: 0.7587 prec@top5: 0.4087 loss_action_cls: 0.0254 2022/12/05 04:43:04 - mmengine - INFO - Epoch(train) [1][1380/4451] lr: 2.3943e-02 eta: 6:00:01 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1950 loss: 0.0254 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.6736 recall@top3: 0.7951 prec@top3: 0.6111 recall@top5: 0.9653 prec@top5: 0.4667 loss_action_cls: 0.0254 2022/12/05 04:43:14 - mmengine - INFO - Epoch(train) [1][1400/4451] lr: 2.4146e-02 eta: 5:59:48 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1840 loss: 0.0259 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.6410 recall@top3: 0.7308 prec@top3: 0.6795 recall@top5: 0.9551 prec@top5: 0.5462 loss_action_cls: 0.0259 2022/12/05 04:43:24 - mmengine - INFO - Epoch(train) [1][1420/4451] lr: 2.4348e-02 eta: 5:59:34 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1913 loss: 0.0251 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8444 recall@top3: 0.9111 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0251 2022/12/05 04:43:34 - mmengine - INFO - Epoch(train) [1][1440/4451] lr: 2.4550e-02 eta: 5:59:20 time: 0.4949 data_time: 0.0099 memory: 16785 grad_norm: 0.1896 loss: 0.0279 recall@thr=0.5: 0.3188 prec@thr=0.5: 0.4130 recall@top3: 0.5000 prec@top3: 0.3478 recall@top5: 0.8841 prec@top5: 0.3217 loss_action_cls: 0.0279 2022/12/05 04:43:44 - mmengine - INFO - Epoch(train) [1][1460/4451] lr: 2.4752e-02 eta: 5:59:06 time: 0.4935 data_time: 0.0098 memory: 16785 grad_norm: 0.1863 loss: 0.0260 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6111 recall@top3: 0.7444 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.3867 loss_action_cls: 0.0260 2022/12/05 04:43:53 - mmengine - INFO - Epoch(train) [1][1480/4451] lr: 2.4954e-02 eta: 5:58:52 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.1850 loss: 0.0268 recall@thr=0.5: 0.4855 prec@thr=0.5: 0.7754 recall@top3: 0.7428 prec@top3: 0.6377 recall@top5: 0.9239 prec@top5: 0.4870 loss_action_cls: 0.0268 2022/12/05 04:44:03 - mmengine - INFO - Epoch(train) [1][1500/4451] lr: 2.5157e-02 eta: 5:58:38 time: 0.4932 data_time: 0.0100 memory: 16785 grad_norm: 0.1785 loss: 0.0272 recall@thr=0.5: 0.4783 prec@thr=0.5: 0.6739 recall@top3: 0.6014 prec@top3: 0.5797 recall@top5: 0.8478 prec@top5: 0.4696 loss_action_cls: 0.0272 2022/12/05 04:44:13 - mmengine - INFO - Epoch(train) [1][1520/4451] lr: 2.5359e-02 eta: 5:58:25 time: 0.4940 data_time: 0.0098 memory: 16785 grad_norm: 0.1921 loss: 0.0265 recall@thr=0.5: 0.5813 prec@thr=0.5: 0.7708 recall@top3: 0.6229 prec@top3: 0.5417 recall@top5: 0.7937 prec@top5: 0.4125 loss_action_cls: 0.0265 2022/12/05 04:44:23 - mmengine - INFO - Epoch(train) [1][1540/4451] lr: 2.5561e-02 eta: 5:58:11 time: 0.4940 data_time: 0.0102 memory: 16785 grad_norm: 0.1867 loss: 0.0267 recall@thr=0.5: 0.4841 prec@thr=0.5: 0.6190 recall@top3: 0.6508 prec@top3: 0.5714 recall@top5: 0.9048 prec@top5: 0.4762 loss_action_cls: 0.0267 2022/12/05 04:44:33 - mmengine - INFO - Epoch(train) [1][1560/4451] lr: 2.5763e-02 eta: 5:57:58 time: 0.4939 data_time: 0.0097 memory: 16785 grad_norm: 0.1979 loss: 0.0279 recall@thr=0.5: 0.4608 prec@thr=0.5: 0.4608 recall@top3: 0.7549 prec@top3: 0.4706 recall@top5: 0.9020 prec@top5: 0.3529 loss_action_cls: 0.0279 2022/12/05 04:44:43 - mmengine - INFO - Epoch(train) [1][1580/4451] lr: 2.5966e-02 eta: 5:57:46 time: 0.4967 data_time: 0.0117 memory: 16785 grad_norm: 0.1996 loss: 0.0266 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.5196 recall@top3: 0.6275 prec@top3: 0.3725 recall@top5: 0.8725 prec@top5: 0.3294 loss_action_cls: 0.0266 2022/12/05 04:44:53 - mmengine - INFO - Epoch(train) [1][1600/4451] lr: 2.6168e-02 eta: 5:57:32 time: 0.4938 data_time: 0.0100 memory: 16785 grad_norm: 0.1976 loss: 0.0284 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6667 recall@top3: 0.7708 prec@top3: 0.6667 recall@top5: 0.9479 prec@top5: 0.5000 loss_action_cls: 0.0284 2022/12/05 04:45:03 - mmengine - INFO - Epoch(train) [1][1620/4451] lr: 2.6370e-02 eta: 5:57:19 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1779 loss: 0.0254 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6049 recall@top3: 0.8025 prec@top3: 0.5802 recall@top5: 0.8951 prec@top5: 0.3852 loss_action_cls: 0.0254 2022/12/05 04:45:13 - mmengine - INFO - Epoch(train) [1][1640/4451] lr: 2.6572e-02 eta: 5:57:06 time: 0.4937 data_time: 0.0101 memory: 16785 grad_norm: 0.1956 loss: 0.0253 recall@thr=0.5: 0.6125 prec@thr=0.5: 0.7750 recall@top3: 0.7750 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4400 loss_action_cls: 0.0253 2022/12/05 04:45:22 - mmengine - INFO - Epoch(train) [1][1660/4451] lr: 2.6775e-02 eta: 5:56:53 time: 0.4935 data_time: 0.0101 memory: 16785 grad_norm: 0.1821 loss: 0.0237 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6458 recall@top3: 0.8125 prec@top3: 0.6042 recall@top5: 0.9583 prec@top5: 0.4250 loss_action_cls: 0.0237 2022/12/05 04:45:32 - mmengine - INFO - Epoch(train) [1][1680/4451] lr: 2.6977e-02 eta: 5:56:40 time: 0.4934 data_time: 0.0100 memory: 16785 grad_norm: 0.1819 loss: 0.0277 recall@thr=0.5: 0.4028 prec@thr=0.5: 0.5079 recall@top3: 0.5179 prec@top3: 0.4365 recall@top5: 0.8115 prec@top5: 0.4048 loss_action_cls: 0.0277 2022/12/05 04:45:42 - mmengine - INFO - Epoch(train) [1][1700/4451] lr: 2.7179e-02 eta: 5:56:27 time: 0.4941 data_time: 0.0098 memory: 16785 grad_norm: 0.1972 loss: 0.0256 recall@thr=0.5: 0.5067 prec@thr=0.5: 0.8200 recall@top3: 0.7800 prec@top3: 0.5733 recall@top5: 0.8600 prec@top5: 0.3920 loss_action_cls: 0.0256 2022/12/05 04:45:52 - mmengine - INFO - Epoch(train) [1][1720/4451] lr: 2.7381e-02 eta: 5:56:14 time: 0.4940 data_time: 0.0097 memory: 16785 grad_norm: 0.2031 loss: 0.0276 recall@thr=0.5: 0.3233 prec@thr=0.5: 0.5367 recall@top3: 0.6900 prec@top3: 0.6533 recall@top5: 0.8900 prec@top5: 0.5040 loss_action_cls: 0.0276 2022/12/05 04:46:02 - mmengine - INFO - Epoch(train) [1][1740/4451] lr: 2.7583e-02 eta: 5:56:02 time: 0.4946 data_time: 0.0100 memory: 16785 grad_norm: 0.1826 loss: 0.0269 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7083 recall@top3: 0.8646 prec@top3: 0.5833 recall@top5: 0.9688 prec@top5: 0.4167 loss_action_cls: 0.0269 2022/12/05 04:46:12 - mmengine - INFO - Epoch(train) [1][1760/4451] lr: 2.7786e-02 eta: 5:55:50 time: 0.4954 data_time: 0.0102 memory: 16785 grad_norm: 0.1884 loss: 0.0264 recall@thr=0.5: 0.6343 prec@thr=0.5: 0.7778 recall@top3: 0.7454 prec@top3: 0.6111 recall@top5: 0.7917 prec@top5: 0.4000 loss_action_cls: 0.0264 2022/12/05 04:46:22 - mmengine - INFO - Epoch(train) [1][1780/4451] lr: 2.7988e-02 eta: 5:55:37 time: 0.4940 data_time: 0.0101 memory: 16785 grad_norm: 0.1859 loss: 0.0250 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.8083 recall@top3: 0.7208 prec@top3: 0.6667 recall@top5: 0.8667 prec@top5: 0.4900 loss_action_cls: 0.0250 2022/12/05 04:46:32 - mmengine - INFO - Epoch(train) [1][1800/4451] lr: 2.8190e-02 eta: 5:55:25 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.1748 loss: 0.0262 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7111 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.8667 prec@top5: 0.3867 loss_action_cls: 0.0262 2022/12/05 04:46:41 - mmengine - INFO - Epoch(train) [1][1820/4451] lr: 2.8392e-02 eta: 5:55:13 time: 0.4943 data_time: 0.0103 memory: 16785 grad_norm: 0.1686 loss: 0.0255 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.6710 recall@top3: 0.6739 prec@top3: 0.5652 recall@top5: 0.8406 prec@top5: 0.4348 loss_action_cls: 0.0255 2022/12/05 04:46:51 - mmengine - INFO - Epoch(train) [1][1840/4451] lr: 2.8595e-02 eta: 5:55:00 time: 0.4938 data_time: 0.0098 memory: 16785 grad_norm: 0.1935 loss: 0.0270 recall@thr=0.5: 0.5680 prec@thr=0.5: 0.8600 recall@top3: 0.8413 prec@top3: 0.7867 recall@top5: 0.9373 prec@top5: 0.5440 loss_action_cls: 0.0270 2022/12/05 04:47:01 - mmengine - INFO - Epoch(train) [1][1860/4451] lr: 2.8797e-02 eta: 5:54:48 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1615 loss: 0.0270 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6321 recall@top3: 0.8205 prec@top3: 0.5256 recall@top5: 0.9423 prec@top5: 0.3846 loss_action_cls: 0.0270 2022/12/05 04:47:11 - mmengine - INFO - Epoch(train) [1][1880/4451] lr: 2.8999e-02 eta: 5:54:36 time: 0.4958 data_time: 0.0101 memory: 16785 grad_norm: 0.1646 loss: 0.0277 recall@thr=0.5: 0.3810 prec@thr=0.5: 0.5556 recall@top3: 0.5635 prec@top3: 0.4762 recall@top5: 0.7778 prec@top5: 0.4000 loss_action_cls: 0.0277 2022/12/05 04:47:21 - mmengine - INFO - Epoch(train) [1][1900/4451] lr: 2.9201e-02 eta: 5:54:24 time: 0.4942 data_time: 0.0099 memory: 16785 grad_norm: 0.1587 loss: 0.0270 recall@thr=0.5: 0.6467 prec@thr=0.5: 0.9333 recall@top3: 0.7383 prec@top3: 0.6000 recall@top5: 0.8583 prec@top5: 0.4400 loss_action_cls: 0.0270 2022/12/05 04:47:31 - mmengine - INFO - Epoch(train) [1][1920/4451] lr: 2.9403e-02 eta: 5:54:12 time: 0.4938 data_time: 0.0100 memory: 16785 grad_norm: 0.1788 loss: 0.0244 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.8854 recall@top3: 0.8958 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0244 2022/12/05 04:47:41 - mmengine - INFO - Epoch(train) [1][1940/4451] lr: 2.9606e-02 eta: 5:54:00 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1706 loss: 0.0254 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7500 recall@top3: 0.7396 prec@top3: 0.5000 recall@top5: 0.8646 prec@top5: 0.3625 loss_action_cls: 0.0254 2022/12/05 04:47:51 - mmengine - INFO - Epoch(train) [1][1960/4451] lr: 2.9808e-02 eta: 5:53:48 time: 0.4945 data_time: 0.0102 memory: 16785 grad_norm: 0.1590 loss: 0.0254 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.6000 recall@top3: 0.8583 prec@top3: 0.4333 recall@top5: 0.9500 prec@top5: 0.3000 loss_action_cls: 0.0254 2022/12/05 04:48:01 - mmengine - INFO - Epoch(train) [1][1980/4451] lr: 3.0010e-02 eta: 5:53:36 time: 0.4942 data_time: 0.0099 memory: 16785 grad_norm: 0.1710 loss: 0.0261 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8426 recall@top3: 0.8519 prec@top3: 0.6667 recall@top5: 0.9352 prec@top5: 0.4333 loss_action_cls: 0.0261 2022/12/05 04:48:10 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 04:48:10 - mmengine - INFO - Epoch(train) [1][2000/4451] lr: 3.0212e-02 eta: 5:53:24 time: 0.4937 data_time: 0.0098 memory: 16785 grad_norm: 0.1675 loss: 0.0254 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.5952 recall@top3: 0.7143 prec@top3: 0.5238 recall@top5: 0.8929 prec@top5: 0.3571 loss_action_cls: 0.0254 2022/12/05 04:48:20 - mmengine - INFO - Epoch(train) [1][2020/4451] lr: 3.0415e-02 eta: 5:53:12 time: 0.4936 data_time: 0.0099 memory: 16785 grad_norm: 0.1842 loss: 0.0252 recall@thr=0.5: 0.4198 prec@thr=0.5: 0.5988 recall@top3: 0.6543 prec@top3: 0.6296 recall@top5: 0.8704 prec@top5: 0.4963 loss_action_cls: 0.0252 2022/12/05 04:48:30 - mmengine - INFO - Epoch(train) [1][2040/4451] lr: 3.0617e-02 eta: 5:53:00 time: 0.4939 data_time: 0.0098 memory: 16785 grad_norm: 0.1752 loss: 0.0248 recall@thr=0.5: 0.6630 prec@thr=0.5: 0.8261 recall@top3: 0.7717 prec@top3: 0.5362 recall@top5: 0.8696 prec@top5: 0.3652 loss_action_cls: 0.0248 2022/12/05 04:48:40 - mmengine - INFO - Epoch(train) [1][2060/4451] lr: 3.0819e-02 eta: 5:52:48 time: 0.4949 data_time: 0.0102 memory: 16785 grad_norm: 0.1698 loss: 0.0259 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6754 recall@top3: 0.6842 prec@top3: 0.4386 recall@top5: 0.7237 prec@top5: 0.2947 loss_action_cls: 0.0259 2022/12/05 04:48:50 - mmengine - INFO - Epoch(train) [1][2080/4451] lr: 3.1021e-02 eta: 5:52:36 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1657 loss: 0.0254 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6429 recall@top3: 0.9643 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0254 2022/12/05 04:49:00 - mmengine - INFO - Epoch(train) [1][2100/4451] lr: 3.1223e-02 eta: 5:52:25 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1745 loss: 0.0258 recall@thr=0.5: 0.2542 prec@thr=0.5: 0.2500 recall@top3: 0.5617 prec@top3: 0.4500 recall@top5: 0.8217 prec@top5: 0.4000 loss_action_cls: 0.0258 2022/12/05 04:49:10 - mmengine - INFO - Epoch(train) [1][2120/4451] lr: 3.1426e-02 eta: 5:52:13 time: 0.4939 data_time: 0.0101 memory: 16785 grad_norm: 0.1615 loss: 0.0263 recall@thr=0.5: 0.5113 prec@thr=0.5: 0.7072 recall@top3: 0.7005 prec@top3: 0.6486 recall@top5: 0.8739 prec@top5: 0.4811 loss_action_cls: 0.0263 2022/12/05 04:49:20 - mmengine - INFO - Epoch(train) [1][2140/4451] lr: 3.1628e-02 eta: 5:52:01 time: 0.4944 data_time: 0.0101 memory: 16785 grad_norm: 0.1829 loss: 0.0260 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5667 recall@top3: 0.5750 prec@top3: 0.4333 recall@top5: 0.7250 prec@top5: 0.3300 loss_action_cls: 0.0260 2022/12/05 04:49:30 - mmengine - INFO - Epoch(train) [1][2160/4451] lr: 3.1830e-02 eta: 5:51:50 time: 0.4950 data_time: 0.0102 memory: 16785 grad_norm: 0.1651 loss: 0.0241 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.6905 recall@top3: 0.7500 prec@top3: 0.4286 recall@top5: 0.8571 prec@top5: 0.3143 loss_action_cls: 0.0241 2022/12/05 04:49:39 - mmengine - INFO - Epoch(train) [1][2180/4451] lr: 3.2032e-02 eta: 5:51:38 time: 0.4942 data_time: 0.0105 memory: 16785 grad_norm: 0.1617 loss: 0.0253 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.7250 recall@top3: 0.7167 prec@top3: 0.5667 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0253 2022/12/05 04:49:49 - mmengine - INFO - Epoch(train) [1][2200/4451] lr: 3.2235e-02 eta: 5:51:26 time: 0.4939 data_time: 0.0102 memory: 16785 grad_norm: 0.1656 loss: 0.0258 recall@thr=0.5: 0.6179 prec@thr=0.5: 0.6975 recall@top3: 0.7907 prec@top3: 0.6420 recall@top5: 0.8599 prec@top5: 0.4222 loss_action_cls: 0.0258 2022/12/05 04:49:59 - mmengine - INFO - Epoch(train) [1][2220/4451] lr: 3.2437e-02 eta: 5:51:15 time: 0.4940 data_time: 0.0101 memory: 16785 grad_norm: 0.1687 loss: 0.0255 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.6583 recall@top3: 0.7750 prec@top3: 0.5667 recall@top5: 0.8500 prec@top5: 0.3900 loss_action_cls: 0.0255 2022/12/05 04:50:09 - mmengine - INFO - Epoch(train) [1][2240/4451] lr: 3.2639e-02 eta: 5:51:03 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1602 loss: 0.0226 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.8000 recall@top3: 0.7417 prec@top3: 0.6333 recall@top5: 0.9708 prec@top5: 0.5100 loss_action_cls: 0.0226 2022/12/05 04:50:19 - mmengine - INFO - Epoch(train) [1][2260/4451] lr: 3.2841e-02 eta: 5:50:52 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1625 loss: 0.0238 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.7381 recall@top3: 0.7659 prec@top3: 0.6032 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0238 2022/12/05 04:50:29 - mmengine - INFO - Epoch(train) [1][2280/4451] lr: 3.3043e-02 eta: 5:50:40 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.1981 loss: 0.0255 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.6958 recall@top3: 0.7750 prec@top3: 0.6333 recall@top5: 0.9750 prec@top5: 0.4900 loss_action_cls: 0.0255 2022/12/05 04:50:39 - mmengine - INFO - Epoch(train) [1][2300/4451] lr: 3.3246e-02 eta: 5:50:29 time: 0.4931 data_time: 0.0101 memory: 16785 grad_norm: 0.1617 loss: 0.0258 recall@thr=0.5: 0.3125 prec@thr=0.5: 0.4219 recall@top3: 0.6500 prec@top3: 0.4167 recall@top5: 0.8875 prec@top5: 0.3750 loss_action_cls: 0.0258 2022/12/05 04:50:49 - mmengine - INFO - Epoch(train) [1][2320/4451] lr: 3.3448e-02 eta: 5:50:17 time: 0.4946 data_time: 0.0099 memory: 16785 grad_norm: 0.1639 loss: 0.0247 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6078 recall@top3: 0.8314 prec@top3: 0.5490 recall@top5: 0.9137 prec@top5: 0.3882 loss_action_cls: 0.0247 2022/12/05 04:50:58 - mmengine - INFO - Epoch(train) [1][2340/4451] lr: 3.3650e-02 eta: 5:50:06 time: 0.4936 data_time: 0.0099 memory: 16785 grad_norm: 0.1475 loss: 0.0249 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.6417 recall@top3: 0.6917 prec@top3: 0.4833 recall@top5: 0.7833 prec@top5: 0.3300 loss_action_cls: 0.0249 2022/12/05 04:51:08 - mmengine - INFO - Epoch(train) [1][2360/4451] lr: 3.3852e-02 eta: 5:49:55 time: 0.4952 data_time: 0.0102 memory: 16785 grad_norm: 0.1629 loss: 0.0256 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6667 recall@top3: 0.6632 prec@top3: 0.5965 recall@top5: 0.8404 prec@top5: 0.4526 loss_action_cls: 0.0256 2022/12/05 04:51:18 - mmengine - INFO - Epoch(train) [1][2380/4451] lr: 3.4055e-02 eta: 5:49:43 time: 0.4936 data_time: 0.0097 memory: 16785 grad_norm: 0.1604 loss: 0.0243 recall@thr=0.5: 0.4484 prec@thr=0.5: 0.6190 recall@top3: 0.6151 prec@top3: 0.5556 recall@top5: 0.7857 prec@top5: 0.4286 loss_action_cls: 0.0243 2022/12/05 04:51:28 - mmengine - INFO - Epoch(train) [1][2400/4451] lr: 3.4257e-02 eta: 5:49:32 time: 0.4943 data_time: 0.0104 memory: 16785 grad_norm: 0.1534 loss: 0.0247 recall@thr=0.5: 0.4100 prec@thr=0.5: 0.5467 recall@top3: 0.7067 prec@top3: 0.6133 recall@top5: 0.8600 prec@top5: 0.4640 loss_action_cls: 0.0247 2022/12/05 04:51:38 - mmengine - INFO - Epoch(train) [1][2420/4451] lr: 3.4459e-02 eta: 5:49:20 time: 0.4942 data_time: 0.0100 memory: 16785 grad_norm: 0.1699 loss: 0.0236 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8981 recall@top3: 0.8364 prec@top3: 0.8148 recall@top5: 0.9352 prec@top5: 0.5556 loss_action_cls: 0.0236 2022/12/05 04:51:48 - mmengine - INFO - Epoch(train) [1][2440/4451] lr: 3.4661e-02 eta: 5:49:09 time: 0.4939 data_time: 0.0101 memory: 16785 grad_norm: 0.1687 loss: 0.0233 recall@thr=0.5: 0.3556 prec@thr=0.5: 0.4222 recall@top3: 0.7444 prec@top3: 0.4000 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0233 2022/12/05 04:51:58 - mmengine - INFO - Epoch(train) [1][2460/4451] lr: 3.4863e-02 eta: 5:48:58 time: 0.4948 data_time: 0.0101 memory: 16785 grad_norm: 0.1669 loss: 0.0262 recall@thr=0.5: 0.4094 prec@thr=0.5: 0.5942 recall@top3: 0.8587 prec@top3: 0.6377 recall@top5: 0.9275 prec@top5: 0.4261 loss_action_cls: 0.0262 2022/12/05 04:52:08 - mmengine - INFO - Epoch(train) [1][2480/4451] lr: 3.5066e-02 eta: 5:48:47 time: 0.4944 data_time: 0.0100 memory: 16785 grad_norm: 0.1638 loss: 0.0260 recall@thr=0.5: 0.2875 prec@thr=0.5: 0.5917 recall@top3: 0.6000 prec@top3: 0.5500 recall@top5: 0.8833 prec@top5: 0.4800 loss_action_cls: 0.0260 2022/12/05 04:52:18 - mmengine - INFO - Epoch(train) [1][2500/4451] lr: 3.5268e-02 eta: 5:48:36 time: 0.4940 data_time: 0.0100 memory: 16785 grad_norm: 0.1515 loss: 0.0242 recall@thr=0.5: 0.5100 prec@thr=0.5: 0.8067 recall@top3: 0.6700 prec@top3: 0.6267 recall@top5: 0.8467 prec@top5: 0.4800 loss_action_cls: 0.0242 2022/12/05 04:52:27 - mmengine - INFO - Epoch(train) [1][2520/4451] lr: 3.5470e-02 eta: 5:48:24 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1520 loss: 0.0252 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.7667 recall@top3: 0.9111 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0252 2022/12/05 04:52:37 - mmengine - INFO - Epoch(train) [1][2540/4451] lr: 3.5672e-02 eta: 5:48:13 time: 0.4936 data_time: 0.0099 memory: 16785 grad_norm: 0.1536 loss: 0.0256 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.7692 recall@top3: 0.8590 prec@top3: 0.7179 recall@top5: 0.9231 prec@top5: 0.4769 loss_action_cls: 0.0256 2022/12/05 04:52:47 - mmengine - INFO - Epoch(train) [1][2560/4451] lr: 3.5875e-02 eta: 5:48:02 time: 0.4933 data_time: 0.0101 memory: 16785 grad_norm: 0.1575 loss: 0.0239 recall@thr=0.5: 0.3704 prec@thr=0.5: 0.5556 recall@top3: 0.6759 prec@top3: 0.4259 recall@top5: 0.8056 prec@top5: 0.3333 loss_action_cls: 0.0239 2022/12/05 04:52:57 - mmengine - INFO - Epoch(train) [1][2580/4451] lr: 3.6077e-02 eta: 5:47:51 time: 0.4940 data_time: 0.0099 memory: 16785 grad_norm: 0.1716 loss: 0.0233 recall@thr=0.5: 0.4111 prec@thr=0.5: 0.3889 recall@top3: 0.7778 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0233 2022/12/05 04:53:07 - mmengine - INFO - Epoch(train) [1][2600/4451] lr: 3.6279e-02 eta: 5:47:40 time: 0.4948 data_time: 0.0100 memory: 16785 grad_norm: 0.1711 loss: 0.0259 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.6204 recall@top3: 0.7037 prec@top3: 0.6111 recall@top5: 0.8472 prec@top5: 0.4556 loss_action_cls: 0.0259 2022/12/05 04:53:17 - mmengine - INFO - Epoch(train) [1][2620/4451] lr: 3.6481e-02 eta: 5:47:28 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1560 loss: 0.0236 recall@thr=0.5: 0.4491 prec@thr=0.5: 0.5093 recall@top3: 0.7130 prec@top3: 0.5000 recall@top5: 0.9074 prec@top5: 0.3556 loss_action_cls: 0.0236 2022/12/05 04:53:27 - mmengine - INFO - Epoch(train) [1][2640/4451] lr: 3.6684e-02 eta: 5:47:17 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1496 loss: 0.0245 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7222 recall@top3: 0.9286 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4190 loss_action_cls: 0.0245 2022/12/05 04:53:37 - mmengine - INFO - Epoch(train) [1][2660/4451] lr: 3.6886e-02 eta: 5:47:06 time: 0.4936 data_time: 0.0101 memory: 16785 grad_norm: 0.1521 loss: 0.0232 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6508 recall@top3: 0.8492 prec@top3: 0.5873 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0232 2022/12/05 04:53:47 - mmengine - INFO - Epoch(train) [1][2680/4451] lr: 3.7088e-02 eta: 5:46:55 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1635 loss: 0.0235 recall@thr=0.5: 0.3095 prec@thr=0.5: 0.4286 recall@top3: 0.6111 prec@top3: 0.4603 recall@top5: 0.9365 prec@top5: 0.3905 loss_action_cls: 0.0235 2022/12/05 04:53:56 - mmengine - INFO - Epoch(train) [1][2700/4451] lr: 3.7290e-02 eta: 5:46:44 time: 0.4937 data_time: 0.0099 memory: 16785 grad_norm: 0.1562 loss: 0.0250 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6825 recall@top3: 0.8095 prec@top3: 0.6825 recall@top5: 0.9286 prec@top5: 0.4762 loss_action_cls: 0.0250 2022/12/05 04:54:06 - mmengine - INFO - Epoch(train) [1][2720/4451] lr: 3.7492e-02 eta: 5:46:33 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.1541 loss: 0.0249 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6667 recall@top3: 0.6736 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0249 2022/12/05 04:54:16 - mmengine - INFO - Epoch(train) [1][2740/4451] lr: 3.7695e-02 eta: 5:46:22 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1476 loss: 0.0241 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.8333 recall@top3: 0.8492 prec@top3: 0.8095 recall@top5: 0.9683 prec@top5: 0.5619 loss_action_cls: 0.0241 2022/12/05 04:54:26 - mmengine - INFO - Epoch(train) [1][2760/4451] lr: 3.7897e-02 eta: 5:46:11 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1404 loss: 0.0255 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6310 recall@top3: 0.7262 prec@top3: 0.5952 recall@top5: 0.8571 prec@top5: 0.4429 loss_action_cls: 0.0255 2022/12/05 04:54:36 - mmengine - INFO - Epoch(train) [1][2780/4451] lr: 3.8099e-02 eta: 5:46:01 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.1559 loss: 0.0244 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.6444 recall@top3: 0.7111 prec@top3: 0.5333 recall@top5: 0.8000 prec@top5: 0.3733 loss_action_cls: 0.0244 2022/12/05 04:54:46 - mmengine - INFO - Epoch(train) [1][2800/4451] lr: 3.8301e-02 eta: 5:45:49 time: 0.4938 data_time: 0.0104 memory: 16785 grad_norm: 0.1490 loss: 0.0253 recall@thr=0.5: 0.5268 prec@thr=0.5: 0.6000 recall@top3: 0.8435 prec@top3: 0.6667 recall@top5: 0.9554 prec@top5: 0.4857 loss_action_cls: 0.0253 2022/12/05 04:54:56 - mmengine - INFO - Epoch(train) [1][2820/4451] lr: 3.8504e-02 eta: 5:45:39 time: 0.4947 data_time: 0.0104 memory: 16785 grad_norm: 0.1451 loss: 0.0233 recall@thr=0.5: 0.6278 prec@thr=0.5: 0.6984 recall@top3: 0.8063 prec@top3: 0.5873 recall@top5: 0.8778 prec@top5: 0.3905 loss_action_cls: 0.0233 2022/12/05 04:55:06 - mmengine - INFO - Epoch(train) [1][2840/4451] lr: 3.8706e-02 eta: 5:45:28 time: 0.4946 data_time: 0.0099 memory: 16785 grad_norm: 0.1700 loss: 0.0246 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6889 recall@top3: 0.8000 prec@top3: 0.6222 recall@top5: 0.8778 prec@top5: 0.4133 loss_action_cls: 0.0246 2022/12/05 04:55:16 - mmengine - INFO - Epoch(train) [1][2860/4451] lr: 3.8908e-02 eta: 5:45:17 time: 0.4952 data_time: 0.0103 memory: 16785 grad_norm: 0.1593 loss: 0.0248 recall@thr=0.5: 0.3698 prec@thr=0.5: 0.4938 recall@top3: 0.6735 prec@top3: 0.5309 recall@top5: 0.8784 prec@top5: 0.4074 loss_action_cls: 0.0248 2022/12/05 04:55:25 - mmengine - INFO - Epoch(train) [1][2880/4451] lr: 3.9110e-02 eta: 5:45:06 time: 0.4943 data_time: 0.0100 memory: 16785 grad_norm: 0.1649 loss: 0.0229 recall@thr=0.5: 0.4036 prec@thr=0.5: 0.4453 recall@top3: 0.7240 prec@top3: 0.5312 recall@top5: 0.9010 prec@top5: 0.4187 loss_action_cls: 0.0229 2022/12/05 04:55:35 - mmengine - INFO - Epoch(train) [1][2900/4451] lr: 3.9312e-02 eta: 5:44:56 time: 0.4951 data_time: 0.0099 memory: 16785 grad_norm: 0.1460 loss: 0.0249 recall@thr=0.5: 0.6286 prec@thr=0.5: 0.6984 recall@top3: 0.7873 prec@top3: 0.6032 recall@top5: 0.8381 prec@top5: 0.4000 loss_action_cls: 0.0249 2022/12/05 04:55:45 - mmengine - INFO - Epoch(train) [1][2920/4451] lr: 3.9515e-02 eta: 5:44:45 time: 0.4944 data_time: 0.0106 memory: 16785 grad_norm: 0.1469 loss: 0.0256 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.7632 recall@top3: 0.7018 prec@top3: 0.5088 recall@top5: 0.8509 prec@top5: 0.3684 loss_action_cls: 0.0256 2022/12/05 04:55:55 - mmengine - INFO - Epoch(train) [1][2940/4451] lr: 3.9717e-02 eta: 5:44:34 time: 0.4946 data_time: 0.0108 memory: 16785 grad_norm: 0.1355 loss: 0.0255 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7000 recall@top3: 0.7750 prec@top3: 0.5167 recall@top5: 0.8417 prec@top5: 0.3400 loss_action_cls: 0.0255 2022/12/05 04:56:05 - mmengine - INFO - Epoch(train) [1][2960/4451] lr: 3.9919e-02 eta: 5:44:23 time: 0.4944 data_time: 0.0101 memory: 16785 grad_norm: 0.1420 loss: 0.0258 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7792 recall@top3: 0.7125 prec@top3: 0.6167 recall@top5: 0.8250 prec@top5: 0.4400 loss_action_cls: 0.0258 2022/12/05 04:56:15 - mmengine - INFO - Epoch(train) [1][2980/4451] lr: 4.0121e-02 eta: 5:44:13 time: 0.4942 data_time: 0.0105 memory: 16785 grad_norm: 0.1443 loss: 0.0241 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.8214 recall@top3: 0.8155 prec@top3: 0.7857 recall@top5: 0.9286 prec@top5: 0.5286 loss_action_cls: 0.0241 2022/12/05 04:56:25 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 04:56:25 - mmengine - INFO - Epoch(train) [1][3000/4451] lr: 4.0324e-02 eta: 5:44:02 time: 0.4940 data_time: 0.0100 memory: 16785 grad_norm: 0.1436 loss: 0.0254 recall@thr=0.5: 0.3258 prec@thr=0.5: 0.4015 recall@top3: 0.7500 prec@top3: 0.5758 recall@top5: 0.7803 prec@top5: 0.3636 loss_action_cls: 0.0254 2022/12/05 04:56:35 - mmengine - INFO - Epoch(train) [1][3020/4451] lr: 4.0526e-02 eta: 5:43:51 time: 0.4947 data_time: 0.0103 memory: 16785 grad_norm: 0.1480 loss: 0.0251 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6905 recall@top3: 0.7063 prec@top3: 0.5397 recall@top5: 0.8095 prec@top5: 0.3810 loss_action_cls: 0.0251 2022/12/05 04:56:45 - mmengine - INFO - Epoch(train) [1][3040/4451] lr: 4.0728e-02 eta: 5:43:40 time: 0.4946 data_time: 0.0101 memory: 16785 grad_norm: 0.1602 loss: 0.0234 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7895 recall@top3: 0.8947 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0234 2022/12/05 04:56:54 - mmengine - INFO - Epoch(train) [1][3060/4451] lr: 4.0930e-02 eta: 5:43:30 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.1509 loss: 0.0234 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.8512 recall@top3: 0.7631 prec@top3: 0.7500 recall@top5: 0.9286 prec@top5: 0.5643 loss_action_cls: 0.0234 2022/12/05 04:57:04 - mmengine - INFO - Epoch(train) [1][3080/4451] lr: 4.1132e-02 eta: 5:43:19 time: 0.4940 data_time: 0.0101 memory: 16785 grad_norm: 0.1464 loss: 0.0250 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4542 recall@top3: 0.7667 prec@top3: 0.5833 recall@top5: 0.8333 prec@top5: 0.3900 loss_action_cls: 0.0250 2022/12/05 04:57:14 - mmengine - INFO - Epoch(train) [1][3100/4451] lr: 4.1335e-02 eta: 5:43:08 time: 0.4938 data_time: 0.0101 memory: 16785 grad_norm: 0.1394 loss: 0.0248 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.7647 recall@top3: 0.9510 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0248 2022/12/05 04:57:24 - mmengine - INFO - Epoch(train) [1][3120/4451] lr: 4.1537e-02 eta: 5:42:57 time: 0.4939 data_time: 0.0103 memory: 16785 grad_norm: 0.1601 loss: 0.0248 recall@thr=0.5: 0.4778 prec@thr=0.5: 0.5778 recall@top3: 0.6111 prec@top3: 0.4889 recall@top5: 0.7333 prec@top5: 0.3733 loss_action_cls: 0.0248 2022/12/05 04:57:34 - mmengine - INFO - Epoch(train) [1][3140/4451] lr: 4.1739e-02 eta: 5:42:47 time: 0.4952 data_time: 0.0103 memory: 16785 grad_norm: 0.1360 loss: 0.0233 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8431 recall@top3: 0.8088 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0233 2022/12/05 04:57:44 - mmengine - INFO - Epoch(train) [1][3160/4451] lr: 4.1941e-02 eta: 5:42:36 time: 0.4944 data_time: 0.0099 memory: 16785 grad_norm: 0.1489 loss: 0.0265 recall@thr=0.5: 0.4676 prec@thr=0.5: 0.6852 recall@top3: 0.6898 prec@top3: 0.5926 recall@top5: 0.8611 prec@top5: 0.4667 loss_action_cls: 0.0265 2022/12/05 04:57:54 - mmengine - INFO - Epoch(train) [1][3180/4451] lr: 4.2144e-02 eta: 5:42:26 time: 0.4956 data_time: 0.0110 memory: 16785 grad_norm: 0.1498 loss: 0.0237 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.6818 recall@top3: 0.7273 prec@top3: 0.5758 recall@top5: 0.8409 prec@top5: 0.4091 loss_action_cls: 0.0237 2022/12/05 04:58:04 - mmengine - INFO - Epoch(train) [1][3200/4451] lr: 4.2346e-02 eta: 5:42:15 time: 0.4938 data_time: 0.0101 memory: 16785 grad_norm: 0.1397 loss: 0.0231 recall@thr=0.5: 0.3148 prec@thr=0.5: 0.2870 recall@top3: 0.5370 prec@top3: 0.3148 recall@top5: 0.6389 prec@top5: 0.2444 loss_action_cls: 0.0231 2022/12/05 04:58:14 - mmengine - INFO - Epoch(train) [1][3220/4451] lr: 4.2548e-02 eta: 5:42:04 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.1368 loss: 0.0235 recall@thr=0.5: 0.3939 prec@thr=0.5: 0.5909 recall@top3: 0.7348 prec@top3: 0.6818 recall@top5: 0.8598 prec@top5: 0.4818 loss_action_cls: 0.0235 2022/12/05 04:58:23 - mmengine - INFO - Epoch(train) [1][3240/4451] lr: 4.2750e-02 eta: 5:41:54 time: 0.4941 data_time: 0.0099 memory: 16785 grad_norm: 0.1397 loss: 0.0220 recall@thr=0.5: 0.6549 prec@thr=0.5: 0.7685 recall@top3: 0.6981 prec@top3: 0.6543 recall@top5: 0.8704 prec@top5: 0.5037 loss_action_cls: 0.0220 2022/12/05 04:58:33 - mmengine - INFO - Epoch(train) [1][3260/4451] lr: 4.2952e-02 eta: 5:41:43 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.1489 loss: 0.0242 recall@thr=0.5: 0.8621 prec@thr=0.5: 0.8864 recall@top3: 0.9061 prec@top3: 0.7576 recall@top5: 0.9470 prec@top5: 0.4909 loss_action_cls: 0.0242 2022/12/05 04:58:43 - mmengine - INFO - Epoch(train) [1][3280/4451] lr: 4.3155e-02 eta: 5:41:32 time: 0.4944 data_time: 0.0101 memory: 16785 grad_norm: 0.1462 loss: 0.0260 recall@thr=0.5: 0.5568 prec@thr=0.5: 0.6818 recall@top3: 0.7424 prec@top3: 0.6667 recall@top5: 0.9091 prec@top5: 0.4909 loss_action_cls: 0.0260 2022/12/05 04:58:53 - mmengine - INFO - Epoch(train) [1][3300/4451] lr: 4.3357e-02 eta: 5:41:22 time: 0.4947 data_time: 0.0102 memory: 16785 grad_norm: 0.1460 loss: 0.0232 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.5104 recall@top3: 0.8958 prec@top3: 0.5208 recall@top5: 0.8958 prec@top5: 0.3125 loss_action_cls: 0.0232 2022/12/05 04:59:03 - mmengine - INFO - Epoch(train) [1][3320/4451] lr: 4.3559e-02 eta: 5:41:11 time: 0.4942 data_time: 0.0101 memory: 16785 grad_norm: 0.1428 loss: 0.0228 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.6667 recall@top3: 0.8542 prec@top3: 0.5625 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0228 2022/12/05 04:59:13 - mmengine - INFO - Epoch(train) [1][3340/4451] lr: 4.3761e-02 eta: 5:41:01 time: 0.4946 data_time: 0.0103 memory: 16785 grad_norm: 0.1473 loss: 0.0225 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7698 recall@top3: 0.8175 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0225 2022/12/05 04:59:23 - mmengine - INFO - Epoch(train) [1][3360/4451] lr: 4.3964e-02 eta: 5:40:50 time: 0.4933 data_time: 0.0102 memory: 16785 grad_norm: 0.1334 loss: 0.0236 recall@thr=0.5: 0.5326 prec@thr=0.5: 0.4855 recall@top3: 0.6304 prec@top3: 0.4493 recall@top5: 0.7754 prec@top5: 0.3478 loss_action_cls: 0.0236 2022/12/05 04:59:33 - mmengine - INFO - Epoch(train) [1][3380/4451] lr: 4.4166e-02 eta: 5:40:39 time: 0.4939 data_time: 0.0101 memory: 16785 grad_norm: 0.1563 loss: 0.0229 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6250 recall@top3: 0.8833 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.3600 loss_action_cls: 0.0229 2022/12/05 04:59:42 - mmengine - INFO - Epoch(train) [1][3400/4451] lr: 4.4368e-02 eta: 5:40:29 time: 0.4953 data_time: 0.0107 memory: 16785 grad_norm: 0.1485 loss: 0.0242 recall@thr=0.5: 0.4697 prec@thr=0.5: 0.6061 recall@top3: 0.6818 prec@top3: 0.5303 recall@top5: 0.8106 prec@top5: 0.4091 loss_action_cls: 0.0242 2022/12/05 04:59:52 - mmengine - INFO - Epoch(train) [1][3420/4451] lr: 4.4570e-02 eta: 5:40:18 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1397 loss: 0.0258 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6842 recall@top3: 0.7149 prec@top3: 0.5789 recall@top5: 0.8991 prec@top5: 0.4316 loss_action_cls: 0.0258 2022/12/05 05:00:02 - mmengine - INFO - Epoch(train) [1][3440/4451] lr: 4.4772e-02 eta: 5:40:08 time: 0.4944 data_time: 0.0103 memory: 16785 grad_norm: 0.1441 loss: 0.0230 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.6574 recall@top3: 0.7593 prec@top3: 0.5185 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0230 2022/12/05 05:00:12 - mmengine - INFO - Epoch(train) [1][3460/4451] lr: 4.4975e-02 eta: 5:39:57 time: 0.4938 data_time: 0.0103 memory: 16785 grad_norm: 0.1295 loss: 0.0237 recall@thr=0.5: 0.4129 prec@thr=0.5: 0.6439 recall@top3: 0.7765 prec@top3: 0.5909 recall@top5: 0.9318 prec@top5: 0.4455 loss_action_cls: 0.0237 2022/12/05 05:00:22 - mmengine - INFO - Epoch(train) [1][3480/4451] lr: 4.5177e-02 eta: 5:39:47 time: 0.4944 data_time: 0.0101 memory: 16785 grad_norm: 0.1293 loss: 0.0225 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.5926 recall@top3: 0.6759 prec@top3: 0.4444 recall@top5: 0.9259 prec@top5: 0.3333 loss_action_cls: 0.0225 2022/12/05 05:00:32 - mmengine - INFO - Epoch(train) [1][3500/4451] lr: 4.5379e-02 eta: 5:39:36 time: 0.4952 data_time: 0.0109 memory: 16785 grad_norm: 0.1453 loss: 0.0235 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.6667 recall@top3: 0.8222 prec@top3: 0.4667 recall@top5: 0.9000 prec@top5: 0.3200 loss_action_cls: 0.0235 2022/12/05 05:00:42 - mmengine - INFO - Epoch(train) [1][3520/4451] lr: 4.5581e-02 eta: 5:39:25 time: 0.4932 data_time: 0.0102 memory: 16785 grad_norm: 0.1493 loss: 0.0264 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6833 recall@top3: 0.8000 prec@top3: 0.5000 recall@top5: 0.9500 prec@top5: 0.3600 loss_action_cls: 0.0264 2022/12/05 05:00:52 - mmengine - INFO - Epoch(train) [1][3540/4451] lr: 4.5784e-02 eta: 5:39:15 time: 0.4934 data_time: 0.0102 memory: 16785 grad_norm: 0.1353 loss: 0.0229 recall@thr=0.5: 0.3185 prec@thr=0.5: 0.5298 recall@top3: 0.7232 prec@top3: 0.6071 recall@top5: 0.8036 prec@top5: 0.4071 loss_action_cls: 0.0229 2022/12/05 05:01:02 - mmengine - INFO - Epoch(train) [1][3560/4451] lr: 4.5986e-02 eta: 5:39:04 time: 0.4941 data_time: 0.0104 memory: 16785 grad_norm: 0.1314 loss: 0.0245 recall@thr=0.5: 0.7048 prec@thr=0.5: 0.7500 recall@top3: 0.8857 prec@top3: 0.5000 recall@top5: 0.9476 prec@top5: 0.3429 loss_action_cls: 0.0245 2022/12/05 05:01:11 - mmengine - INFO - Epoch(train) [1][3580/4451] lr: 4.6188e-02 eta: 5:38:53 time: 0.4934 data_time: 0.0100 memory: 16785 grad_norm: 0.1398 loss: 0.0235 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7745 recall@top3: 0.8725 prec@top3: 0.7451 recall@top5: 0.9804 prec@top5: 0.5176 loss_action_cls: 0.0235 2022/12/05 05:01:21 - mmengine - INFO - Epoch(train) [1][3600/4451] lr: 4.6390e-02 eta: 5:38:43 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1458 loss: 0.0242 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.6042 recall@top3: 0.7604 prec@top3: 0.5208 recall@top5: 0.9583 prec@top5: 0.4125 loss_action_cls: 0.0242 2022/12/05 05:01:31 - mmengine - INFO - Epoch(train) [1][3620/4451] lr: 4.6593e-02 eta: 5:38:32 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1371 loss: 0.0250 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.5046 recall@top3: 0.7500 prec@top3: 0.5741 recall@top5: 0.8611 prec@top5: 0.4111 loss_action_cls: 0.0250 2022/12/05 05:01:41 - mmengine - INFO - Epoch(train) [1][3640/4451] lr: 4.6795e-02 eta: 5:38:22 time: 0.4936 data_time: 0.0099 memory: 16785 grad_norm: 0.1357 loss: 0.0242 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.7739 recall@top3: 0.6123 prec@top3: 0.5362 recall@top5: 0.8478 prec@top5: 0.4696 loss_action_cls: 0.0242 2022/12/05 05:01:51 - mmengine - INFO - Epoch(train) [1][3660/4451] lr: 4.6997e-02 eta: 5:38:11 time: 0.4950 data_time: 0.0102 memory: 16785 grad_norm: 0.1311 loss: 0.0248 recall@thr=0.5: 0.5978 prec@thr=0.5: 0.7536 recall@top3: 0.7754 prec@top3: 0.5797 recall@top5: 0.9674 prec@top5: 0.4696 loss_action_cls: 0.0248 2022/12/05 05:02:01 - mmengine - INFO - Epoch(train) [1][3680/4451] lr: 4.7199e-02 eta: 5:38:01 time: 0.4937 data_time: 0.0100 memory: 16785 grad_norm: 0.1386 loss: 0.0236 recall@thr=0.5: 0.4398 prec@thr=0.5: 0.5185 recall@top3: 0.6111 prec@top3: 0.5000 recall@top5: 0.8704 prec@top5: 0.4000 loss_action_cls: 0.0236 2022/12/05 05:02:11 - mmengine - INFO - Epoch(train) [1][3700/4451] lr: 4.7401e-02 eta: 5:37:50 time: 0.4943 data_time: 0.0099 memory: 16785 grad_norm: 0.1379 loss: 0.0233 recall@thr=0.5: 0.5764 prec@thr=0.5: 0.6597 recall@top3: 0.7778 prec@top3: 0.6389 recall@top5: 0.9514 prec@top5: 0.5000 loss_action_cls: 0.0233 2022/12/05 05:02:21 - mmengine - INFO - Epoch(train) [1][3720/4451] lr: 4.7604e-02 eta: 5:37:40 time: 0.4940 data_time: 0.0101 memory: 16785 grad_norm: 0.1469 loss: 0.0243 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6140 recall@top3: 0.7588 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4737 loss_action_cls: 0.0243 2022/12/05 05:02:30 - mmengine - INFO - Epoch(train) [1][3740/4451] lr: 4.7806e-02 eta: 5:37:29 time: 0.4937 data_time: 0.0102 memory: 16785 grad_norm: 0.1322 loss: 0.0234 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6583 recall@top3: 0.8083 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0234 2022/12/05 05:02:40 - mmengine - INFO - Epoch(train) [1][3760/4451] lr: 4.8008e-02 eta: 5:37:19 time: 0.4935 data_time: 0.0100 memory: 16785 grad_norm: 0.1438 loss: 0.0249 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6759 recall@top3: 0.6667 prec@top3: 0.5185 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0249 2022/12/05 05:02:50 - mmengine - INFO - Epoch(train) [1][3780/4451] lr: 4.8210e-02 eta: 5:37:08 time: 0.4948 data_time: 0.0108 memory: 16785 grad_norm: 0.1312 loss: 0.0234 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.7549 recall@top3: 0.7843 prec@top3: 0.6275 recall@top5: 0.9216 prec@top5: 0.4588 loss_action_cls: 0.0234 2022/12/05 05:03:00 - mmengine - INFO - Epoch(train) [1][3800/4451] lr: 4.8413e-02 eta: 5:36:58 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.1439 loss: 0.0246 recall@thr=0.5: 0.4615 prec@thr=0.5: 0.5128 recall@top3: 0.5385 prec@top3: 0.4359 recall@top5: 0.8077 prec@top5: 0.4000 loss_action_cls: 0.0246 2022/12/05 05:03:10 - mmengine - INFO - Epoch(train) [1][3820/4451] lr: 4.8615e-02 eta: 5:36:47 time: 0.4942 data_time: 0.0101 memory: 16785 grad_norm: 0.1497 loss: 0.0266 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6042 recall@top3: 0.8333 prec@top3: 0.5208 recall@top5: 0.8333 prec@top5: 0.3125 loss_action_cls: 0.0266 2022/12/05 05:03:20 - mmengine - INFO - Epoch(train) [1][3840/4451] lr: 4.8817e-02 eta: 5:36:37 time: 0.4940 data_time: 0.0102 memory: 16785 grad_norm: 0.1284 loss: 0.0238 recall@thr=0.5: 0.4322 prec@thr=0.5: 0.6264 recall@top3: 0.5874 prec@top3: 0.5977 recall@top5: 0.8201 prec@top5: 0.4414 loss_action_cls: 0.0238 2022/12/05 05:03:30 - mmengine - INFO - Epoch(train) [1][3860/4451] lr: 4.9019e-02 eta: 5:36:27 time: 0.4951 data_time: 0.0102 memory: 16785 grad_norm: 0.1397 loss: 0.0232 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.5801 recall@top3: 0.6474 prec@top3: 0.4744 recall@top5: 0.8429 prec@top5: 0.4000 loss_action_cls: 0.0232 2022/12/05 05:03:40 - mmengine - INFO - Epoch(train) [1][3880/4451] lr: 4.9221e-02 eta: 5:36:16 time: 0.4948 data_time: 0.0109 memory: 16785 grad_norm: 0.1315 loss: 0.0240 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8056 recall@top3: 0.7870 prec@top3: 0.6481 recall@top5: 0.8519 prec@top5: 0.4222 loss_action_cls: 0.0240 2022/12/05 05:03:50 - mmengine - INFO - Epoch(train) [1][3900/4451] lr: 4.9424e-02 eta: 5:36:06 time: 0.4945 data_time: 0.0101 memory: 16785 grad_norm: 0.1381 loss: 0.0217 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7500 recall@top3: 0.9333 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0217 2022/12/05 05:03:59 - mmengine - INFO - Epoch(train) [1][3920/4451] lr: 4.9626e-02 eta: 5:35:55 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1360 loss: 0.0236 recall@thr=0.5: 0.4727 prec@thr=0.5: 0.6818 recall@top3: 0.6470 prec@top3: 0.5909 recall@top5: 0.8848 prec@top5: 0.4636 loss_action_cls: 0.0236 2022/12/05 05:04:09 - mmengine - INFO - Epoch(train) [1][3940/4451] lr: 4.9828e-02 eta: 5:35:45 time: 0.4947 data_time: 0.0101 memory: 16785 grad_norm: 0.1409 loss: 0.0226 recall@thr=0.5: 0.4741 prec@thr=0.5: 0.6667 recall@top3: 0.7565 prec@top3: 0.6667 recall@top5: 0.8944 prec@top5: 0.5000 loss_action_cls: 0.0226 2022/12/05 05:04:19 - mmengine - INFO - Epoch(train) [1][3960/4451] lr: 5.0030e-02 eta: 5:35:35 time: 0.4939 data_time: 0.0099 memory: 16785 grad_norm: 0.1366 loss: 0.0235 recall@thr=0.5: 0.7586 prec@thr=0.5: 0.6897 recall@top3: 0.8218 prec@top3: 0.6437 recall@top5: 0.9655 prec@top5: 0.4759 loss_action_cls: 0.0235 2022/12/05 05:04:29 - mmengine - INFO - Epoch(train) [1][3980/4451] lr: 5.0233e-02 eta: 5:35:24 time: 0.4949 data_time: 0.0103 memory: 16785 grad_norm: 0.1327 loss: 0.0231 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8457 recall@top3: 0.9444 prec@top3: 0.6420 recall@top5: 0.9877 prec@top5: 0.4074 loss_action_cls: 0.0231 2022/12/05 05:04:39 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 05:04:39 - mmengine - INFO - Epoch(train) [1][4000/4451] lr: 5.0435e-02 eta: 5:35:14 time: 0.4937 data_time: 0.0102 memory: 16785 grad_norm: 0.1374 loss: 0.0234 recall@thr=0.5: 0.3684 prec@thr=0.5: 0.4561 recall@top3: 0.6579 prec@top3: 0.3684 recall@top5: 0.6842 prec@top5: 0.2316 loss_action_cls: 0.0234 2022/12/05 05:04:49 - mmengine - INFO - Epoch(train) [1][4020/4451] lr: 5.0637e-02 eta: 5:35:03 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1344 loss: 0.0257 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7157 recall@top3: 0.8137 prec@top3: 0.5686 recall@top5: 0.8971 prec@top5: 0.3882 loss_action_cls: 0.0257 2022/12/05 05:04:59 - mmengine - INFO - Epoch(train) [1][4040/4451] lr: 5.0839e-02 eta: 5:34:53 time: 0.4945 data_time: 0.0101 memory: 16785 grad_norm: 0.1303 loss: 0.0242 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.4928 recall@top3: 0.8261 prec@top3: 0.5507 recall@top5: 0.8406 prec@top5: 0.3391 loss_action_cls: 0.0242 2022/12/05 05:05:09 - mmengine - INFO - Epoch(train) [1][4060/4451] lr: 5.1041e-02 eta: 5:34:43 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.1403 loss: 0.0223 recall@thr=0.5: 0.4683 prec@thr=0.5: 0.6190 recall@top3: 0.7063 prec@top3: 0.4762 recall@top5: 0.8651 prec@top5: 0.3810 loss_action_cls: 0.0223 2022/12/05 05:05:19 - mmengine - INFO - Epoch(train) [1][4080/4451] lr: 5.1244e-02 eta: 5:34:32 time: 0.4939 data_time: 0.0105 memory: 16785 grad_norm: 0.1336 loss: 0.0239 recall@thr=0.5: 0.4275 prec@thr=0.5: 0.4565 recall@top3: 0.6449 prec@top3: 0.4203 recall@top5: 0.7899 prec@top5: 0.3130 loss_action_cls: 0.0239 2022/12/05 05:05:28 - mmengine - INFO - Epoch(train) [1][4100/4451] lr: 5.1446e-02 eta: 5:34:22 time: 0.4943 data_time: 0.0100 memory: 16785 grad_norm: 0.1440 loss: 0.0242 recall@thr=0.5: 0.5298 prec@thr=0.5: 0.6905 recall@top3: 0.7619 prec@top3: 0.4762 recall@top5: 0.9286 prec@top5: 0.3714 loss_action_cls: 0.0242 2022/12/05 05:05:38 - mmengine - INFO - Epoch(train) [1][4120/4451] lr: 5.1648e-02 eta: 5:34:12 time: 0.4942 data_time: 0.0107 memory: 16785 grad_norm: 0.1307 loss: 0.0229 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7333 recall@top3: 0.8417 prec@top3: 0.5833 recall@top5: 0.8667 prec@top5: 0.3600 loss_action_cls: 0.0229 2022/12/05 05:05:48 - mmengine - INFO - Epoch(train) [1][4140/4451] lr: 5.1850e-02 eta: 5:34:01 time: 0.4949 data_time: 0.0102 memory: 16785 grad_norm: 0.1312 loss: 0.0243 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8651 recall@top3: 0.7302 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.5333 loss_action_cls: 0.0243 2022/12/05 05:05:58 - mmengine - INFO - Epoch(train) [1][4160/4451] lr: 5.2053e-02 eta: 5:33:51 time: 0.4949 data_time: 0.0101 memory: 16785 grad_norm: 0.1295 loss: 0.0234 recall@thr=0.5: 0.3704 prec@thr=0.5: 0.5556 recall@top3: 0.6296 prec@top3: 0.5370 recall@top5: 0.8148 prec@top5: 0.4222 loss_action_cls: 0.0234 2022/12/05 05:06:08 - mmengine - INFO - Epoch(train) [1][4180/4451] lr: 5.2255e-02 eta: 5:33:41 time: 0.4939 data_time: 0.0102 memory: 16785 grad_norm: 0.1351 loss: 0.0220 recall@thr=0.5: 0.3148 prec@thr=0.5: 0.3704 recall@top3: 0.6481 prec@top3: 0.4630 recall@top5: 0.8889 prec@top5: 0.3556 loss_action_cls: 0.0220 2022/12/05 05:06:18 - mmengine - INFO - Epoch(train) [1][4200/4451] lr: 5.2457e-02 eta: 5:33:30 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1411 loss: 0.0219 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.5370 recall@top3: 0.8519 prec@top3: 0.5556 recall@top5: 0.9259 prec@top5: 0.3556 loss_action_cls: 0.0219 2022/12/05 05:06:28 - mmengine - INFO - Epoch(train) [1][4220/4451] lr: 5.2659e-02 eta: 5:33:20 time: 0.4948 data_time: 0.0100 memory: 16785 grad_norm: 0.1360 loss: 0.0225 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.7105 recall@top3: 0.8596 prec@top3: 0.5263 recall@top5: 0.9123 prec@top5: 0.3368 loss_action_cls: 0.0225 2022/12/05 05:06:38 - mmengine - INFO - Epoch(train) [1][4240/4451] lr: 5.2861e-02 eta: 5:33:10 time: 0.4954 data_time: 0.0101 memory: 16785 grad_norm: 0.1378 loss: 0.0239 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7685 recall@top3: 0.7685 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4556 loss_action_cls: 0.0239 2022/12/05 05:06:48 - mmengine - INFO - Epoch(train) [1][4260/4451] lr: 5.3064e-02 eta: 5:33:00 time: 0.4942 data_time: 0.0103 memory: 16785 grad_norm: 0.1402 loss: 0.0234 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6167 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9556 prec@top5: 0.4000 loss_action_cls: 0.0234 2022/12/05 05:06:57 - mmengine - INFO - Epoch(train) [1][4280/4451] lr: 5.3266e-02 eta: 5:32:49 time: 0.4944 data_time: 0.0099 memory: 16785 grad_norm: 0.1329 loss: 0.0239 recall@thr=0.5: 0.5235 prec@thr=0.5: 0.7451 recall@top3: 0.7294 prec@top3: 0.6471 recall@top5: 0.9392 prec@top5: 0.5059 loss_action_cls: 0.0239 2022/12/05 05:07:07 - mmengine - INFO - Epoch(train) [1][4300/4451] lr: 5.3468e-02 eta: 5:32:39 time: 0.4947 data_time: 0.0100 memory: 16785 grad_norm: 0.1329 loss: 0.0237 recall@thr=0.5: 0.4203 prec@thr=0.5: 0.4348 recall@top3: 0.7609 prec@top3: 0.4638 recall@top5: 0.8696 prec@top5: 0.3217 loss_action_cls: 0.0237 2022/12/05 05:07:17 - mmengine - INFO - Epoch(train) [1][4320/4451] lr: 5.3670e-02 eta: 5:32:29 time: 0.4947 data_time: 0.0100 memory: 16785 grad_norm: 0.1328 loss: 0.0243 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8300 recall@top3: 0.8000 prec@top3: 0.6667 recall@top5: 0.9000 prec@top5: 0.4640 loss_action_cls: 0.0243 2022/12/05 05:07:27 - mmengine - INFO - Epoch(train) [1][4340/4451] lr: 5.3873e-02 eta: 5:32:19 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1278 loss: 0.0247 recall@thr=0.5: 0.6935 prec@thr=0.5: 0.7708 recall@top3: 0.7839 prec@top3: 0.7024 recall@top5: 0.9042 prec@top5: 0.5000 loss_action_cls: 0.0247 2022/12/05 05:07:37 - mmengine - INFO - Epoch(train) [1][4360/4451] lr: 5.4075e-02 eta: 5:32:08 time: 0.4946 data_time: 0.0102 memory: 16785 grad_norm: 0.1378 loss: 0.0230 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.6905 recall@top3: 0.7937 prec@top3: 0.5873 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0230 2022/12/05 05:07:47 - mmengine - INFO - Epoch(train) [1][4380/4451] lr: 5.4277e-02 eta: 5:31:58 time: 0.4939 data_time: 0.0102 memory: 16785 grad_norm: 0.1406 loss: 0.0220 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8167 recall@top3: 0.7694 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.5667 loss_action_cls: 0.0220 2022/12/05 05:07:57 - mmengine - INFO - Epoch(train) [1][4400/4451] lr: 5.4479e-02 eta: 5:31:48 time: 0.4939 data_time: 0.0102 memory: 16785 grad_norm: 0.1311 loss: 0.0245 recall@thr=0.5: 0.4790 prec@thr=0.5: 0.4444 recall@top3: 0.5840 prec@top3: 0.4074 recall@top5: 0.7889 prec@top5: 0.3407 loss_action_cls: 0.0245 2022/12/05 05:08:07 - mmengine - INFO - Epoch(train) [1][4420/4451] lr: 5.4681e-02 eta: 5:31:37 time: 0.4947 data_time: 0.0101 memory: 16785 grad_norm: 0.1327 loss: 0.0220 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.6894 recall@top3: 0.7864 prec@top3: 0.6061 recall@top5: 0.9591 prec@top5: 0.4727 loss_action_cls: 0.0220 2022/12/05 05:08:17 - mmengine - INFO - Epoch(train) [1][4440/4451] lr: 5.4884e-02 eta: 5:31:27 time: 0.4951 data_time: 0.0103 memory: 16785 grad_norm: 0.1255 loss: 0.0236 recall@thr=0.5: 0.5078 prec@thr=0.5: 0.6536 recall@top3: 0.6719 prec@top3: 0.5937 recall@top5: 0.8177 prec@top5: 0.4437 loss_action_cls: 0.0236 2022/12/05 05:08:22 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 05:08:22 - mmengine - INFO - Epoch(train) [1][4451/4451] lr: 5.4995e-02 eta: 5:31:21 time: 0.4887 data_time: 0.0107 memory: 16785 grad_norm: 0.1288 loss: 0.0230 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7361 recall@top3: 0.8333 prec@top3: 0.6389 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0230 2022/12/05 05:08:22 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/12/05 05:08:29 - mmengine - INFO - Epoch(val) [1][ 20/6282] eta: 0:19:20 time: 0.1854 data_time: 0.1472 memory: 1088 2022/12/05 05:08:30 - mmengine - INFO - Epoch(val) [1][ 40/6282] eta: 0:11:38 time: 0.0384 data_time: 0.0022 memory: 1088 2022/12/05 05:08:31 - mmengine - INFO - Epoch(val) [1][ 60/6282] eta: 0:09:02 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 05:08:32 - mmengine - INFO - Epoch(val) [1][ 80/6282] eta: 0:07:44 time: 0.0382 data_time: 0.0021 memory: 1088 2022/12/05 05:08:32 - mmengine - INFO - Epoch(val) [1][ 100/6282] eta: 0:06:58 time: 0.0384 data_time: 0.0021 memory: 1088 2022/12/05 05:08:33 - mmengine - INFO - Epoch(val) [1][ 120/6282] eta: 0:06:37 time: 0.0487 data_time: 0.0024 memory: 1231 2022/12/05 05:08:34 - mmengine - INFO - Epoch(val) [1][ 140/6282] eta: 0:06:26 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 05:08:35 - mmengine - INFO - Epoch(val) [1][ 160/6282] eta: 0:06:18 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 05:08:37 - mmengine - INFO - Epoch(val) [1][ 180/6282] eta: 0:06:11 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 05:08:38 - mmengine - INFO - Epoch(val) [1][ 200/6282] eta: 0:06:05 time: 0.0527 data_time: 0.0022 memory: 1231 2022/12/05 05:08:38 - mmengine - INFO - Epoch(val) [1][ 220/6282] eta: 0:05:54 time: 0.0424 data_time: 0.0022 memory: 1113 2022/12/05 05:08:39 - mmengine - INFO - Epoch(val) [1][ 240/6282] eta: 0:05:45 time: 0.0426 data_time: 0.0022 memory: 1113 2022/12/05 05:08:40 - mmengine - INFO - Epoch(val) [1][ 260/6282] eta: 0:05:37 time: 0.0425 data_time: 0.0022 memory: 1113 2022/12/05 05:08:41 - mmengine - INFO - Epoch(val) [1][ 280/6282] eta: 0:05:30 time: 0.0425 data_time: 0.0022 memory: 1113 2022/12/05 05:08:42 - mmengine - INFO - Epoch(val) [1][ 300/6282] eta: 0:05:26 time: 0.0487 data_time: 0.0028 memory: 1231 2022/12/05 05:08:43 - mmengine - INFO - Epoch(val) [1][ 320/6282] eta: 0:05:25 time: 0.0546 data_time: 0.0024 memory: 1231 2022/12/05 05:08:44 - mmengine - INFO - Epoch(val) [1][ 340/6282] eta: 0:05:24 time: 0.0550 data_time: 0.0025 memory: 1231 2022/12/05 05:08:45 - mmengine - INFO - Epoch(val) [1][ 360/6282] eta: 0:05:23 time: 0.0550 data_time: 0.0025 memory: 1231 2022/12/05 05:08:46 - mmengine - INFO - Epoch(val) [1][ 380/6282] eta: 0:05:22 time: 0.0545 data_time: 0.0025 memory: 1231 2022/12/05 05:08:47 - mmengine - INFO - Epoch(val) [1][ 400/6282] eta: 0:05:19 time: 0.0485 data_time: 0.0022 memory: 1231 2022/12/05 05:08:48 - mmengine - INFO - Epoch(val) [1][ 420/6282] eta: 0:05:15 time: 0.0428 data_time: 0.0022 memory: 1122 2022/12/05 05:08:49 - mmengine - INFO - Epoch(val) [1][ 440/6282] eta: 0:05:11 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 05:08:50 - mmengine - INFO - Epoch(val) [1][ 460/6282] eta: 0:05:07 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 05:08:51 - mmengine - INFO - Epoch(val) [1][ 480/6282] eta: 0:05:04 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:08:52 - mmengine - INFO - Epoch(val) [1][ 500/6282] eta: 0:05:00 time: 0.0426 data_time: 0.0021 memory: 1122 2022/12/05 05:08:52 - mmengine - INFO - Epoch(val) [1][ 520/6282] eta: 0:04:57 time: 0.0424 data_time: 0.0022 memory: 1113 2022/12/05 05:08:53 - mmengine - INFO - Epoch(val) [1][ 540/6282] eta: 0:04:54 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 05:08:54 - mmengine - INFO - Epoch(val) [1][ 560/6282] eta: 0:04:51 time: 0.0424 data_time: 0.0021 memory: 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05:09:03 - mmengine - INFO - Epoch(val) [1][ 740/6282] eta: 0:04:37 time: 0.0759 data_time: 0.0215 memory: 1231 2022/12/05 05:09:04 - mmengine - INFO - Epoch(val) [1][ 760/6282] eta: 0:04:39 time: 0.0678 data_time: 0.0128 memory: 1231 2022/12/05 05:09:06 - mmengine - INFO - Epoch(val) [1][ 780/6282] eta: 0:04:41 time: 0.0743 data_time: 0.0205 memory: 1231 2022/12/05 05:09:07 - mmengine - INFO - Epoch(val) [1][ 800/6282] eta: 0:04:42 time: 0.0632 data_time: 0.0101 memory: 1231 2022/12/05 05:09:08 - mmengine - INFO - Epoch(val) [1][ 820/6282] eta: 0:04:40 time: 0.0471 data_time: 0.0018 memory: 1231 2022/12/05 05:09:09 - mmengine - INFO - Epoch(val) [1][ 840/6282] eta: 0:04:38 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 05:09:09 - mmengine - INFO - Epoch(val) [1][ 860/6282] eta: 0:04:36 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 05:09:10 - mmengine - INFO - Epoch(val) [1][ 880/6282] eta: 0:04:34 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 05:09:11 - mmengine - INFO - Epoch(val) [1][ 900/6282] eta: 0:04:32 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 05:09:12 - mmengine - INFO - Epoch(val) [1][ 920/6282] eta: 0:04:30 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:09:13 - mmengine - INFO - Epoch(val) [1][ 940/6282] eta: 0:04:27 time: 0.0383 data_time: 0.0021 memory: 1088 2022/12/05 05:09:13 - mmengine - INFO - Epoch(val) [1][ 960/6282] eta: 0:04:25 time: 0.0383 data_time: 0.0021 memory: 1088 2022/12/05 05:09:14 - mmengine - INFO - Epoch(val) [1][ 980/6282] eta: 0:04:23 time: 0.0381 data_time: 0.0021 memory: 1088 2022/12/05 05:09:15 - mmengine - INFO - Epoch(val) [1][1000/6282] eta: 0:04:21 time: 0.0384 data_time: 0.0021 memory: 1088 2022/12/05 05:09:16 - mmengine - INFO - Epoch(val) [1][1020/6282] eta: 0:04:18 time: 0.0383 data_time: 0.0020 memory: 1113 2022/12/05 05:09:17 - mmengine - INFO - Epoch(val) [1][1040/6282] eta: 0:04:17 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 05:09:17 - mmengine - INFO 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eta: 0:04:07 time: 0.0773 data_time: 0.0225 memory: 1231 2022/12/05 05:09:37 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:04:07 time: 0.0657 data_time: 0.0118 memory: 1231 2022/12/05 05:09:38 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:04:07 time: 0.0570 data_time: 0.0049 memory: 1231 2022/12/05 05:09:39 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:04:06 time: 0.0537 data_time: 0.0016 memory: 1231 2022/12/05 05:09:40 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:04:05 time: 0.0543 data_time: 0.0023 memory: 1231 2022/12/05 05:09:41 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:04:04 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 05:09:42 - mmengine - INFO - Epoch(val) [1][1500/6282] eta: 0:04:03 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 05:09:43 - mmengine - INFO - Epoch(val) [1][1520/6282] eta: 0:04:03 time: 0.0553 data_time: 0.0027 memory: 1404 2022/12/05 05:09:45 - mmengine - INFO - Epoch(val) [1][1540/6282] eta: 0:04:03 time: 0.0688 data_time: 0.0025 memory: 1404 2022/12/05 05:09:46 - mmengine - INFO - Epoch(val) [1][1560/6282] eta: 0:04:03 time: 0.0687 data_time: 0.0026 memory: 1404 2022/12/05 05:09:47 - mmengine - INFO - Epoch(val) [1][1580/6282] eta: 0:04:03 time: 0.0690 data_time: 0.0029 memory: 1404 2022/12/05 05:09:49 - mmengine - INFO - Epoch(val) [1][1600/6282] eta: 0:04:03 time: 0.0688 data_time: 0.0027 memory: 1404 2022/12/05 05:09:50 - mmengine - INFO - Epoch(val) [1][1620/6282] eta: 0:04:03 time: 0.0683 data_time: 0.0025 memory: 1404 2022/12/05 05:09:51 - mmengine - INFO - Epoch(val) [1][1640/6282] eta: 0:04:02 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 05:09:52 - mmengine - INFO - Epoch(val) [1][1660/6282] eta: 0:04:01 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 05:09:53 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:04:00 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 05:09:54 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:03:59 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 05:09:56 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:03:58 time: 0.0549 data_time: 0.0024 memory: 1231 2022/12/05 05:09:57 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:03:57 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 05:09:58 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:03:56 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 05:09:59 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:03:55 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 05:10:00 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:03:54 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 05:10:01 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:03:53 time: 0.0558 data_time: 0.0029 memory: 1231 2022/12/05 05:10:02 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:03:52 time: 0.0584 data_time: 0.0036 memory: 1231 2022/12/05 05:10:03 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:03:52 time: 0.0591 data_time: 0.0041 memory: 1231 2022/12/05 05:10:04 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:03:51 time: 0.0584 data_time: 0.0038 memory: 1231 2022/12/05 05:10:06 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:03:50 time: 0.0584 data_time: 0.0040 memory: 1231 2022/12/05 05:10:07 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:03:49 time: 0.0565 data_time: 0.0033 memory: 1231 2022/12/05 05:10:08 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:03:48 time: 0.0511 data_time: 0.0021 memory: 1231 2022/12/05 05:10:09 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:03:47 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 05:10:10 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:03:45 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 05:10:10 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:03:44 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 05:10:11 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:03:42 time: 0.0427 data_time: 0.0021 memory: 1122 2022/12/05 05:10:12 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:03:41 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 05:10:13 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:03:39 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 05:10:14 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:03:38 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:10:15 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:03:37 time: 0.0427 data_time: 0.0021 memory: 1122 2022/12/05 05:10:15 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:03:35 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:10:16 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:03:34 time: 0.0445 data_time: 0.0021 memory: 1122 2022/12/05 05:10:17 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:03:32 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 05:10:18 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:03:31 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:10:19 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:03:30 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 05:10:20 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:03:28 time: 0.0426 data_time: 0.0023 memory: 1113 2022/12/05 05:10:21 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:03:27 time: 0.0425 data_time: 0.0021 memory: 1113 2022/12/05 05:10:21 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:03:26 time: 0.0428 data_time: 0.0021 memory: 1122 2022/12/05 05:10:22 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:03:24 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 05:10:23 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:03:23 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 05:10:24 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:03:22 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:10:25 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:03:20 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:10:26 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:03:19 time: 0.0425 data_time: 0.0021 memory: 1113 2022/12/05 05:10:27 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:03:18 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:10:27 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:03:16 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 05:10:28 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:03:15 time: 0.0428 data_time: 0.0022 memory: 1113 2022/12/05 05:10:29 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:03:14 time: 0.0434 data_time: 0.0025 memory: 1113 2022/12/05 05:10:30 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:03:13 time: 0.0542 data_time: 0.0025 memory: 1231 2022/12/05 05:10:31 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:03:12 time: 0.0550 data_time: 0.0027 memory: 1231 2022/12/05 05:10:32 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:03:11 time: 0.0547 data_time: 0.0026 memory: 1231 2022/12/05 05:10:34 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:03:10 time: 0.0563 data_time: 0.0031 memory: 1231 2022/12/05 05:10:35 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:03:10 time: 0.0582 data_time: 0.0037 memory: 1231 2022/12/05 05:10:36 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:03:09 time: 0.0579 data_time: 0.0039 memory: 1231 2022/12/05 05:10:37 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:03:08 time: 0.0575 data_time: 0.0036 memory: 1231 2022/12/05 05:10:38 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:03:07 time: 0.0634 data_time: 0.0085 memory: 1231 2022/12/05 05:10:40 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:03:07 time: 0.0612 data_time: 0.0070 memory: 1231 2022/12/05 05:10:41 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:03:06 time: 0.0583 data_time: 0.0061 memory: 1231 2022/12/05 05:10:42 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:03:05 time: 0.0663 data_time: 0.0022 memory: 1388 2022/12/05 05:10:43 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:03:05 time: 0.0667 data_time: 0.0024 memory: 1388 2022/12/05 05:10:45 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:03:04 time: 0.0668 data_time: 0.0025 memory: 1388 2022/12/05 05:10:46 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:03:03 time: 0.0666 data_time: 0.0024 memory: 1388 2022/12/05 05:10:47 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:03:03 time: 0.0631 data_time: 0.0024 memory: 1388 2022/12/05 05:10:48 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:03:01 time: 0.0426 data_time: 0.0021 memory: 1122 2022/12/05 05:10:49 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:03:00 time: 0.0428 data_time: 0.0021 memory: 1122 2022/12/05 05:10:50 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:02:59 time: 0.0430 data_time: 0.0022 memory: 1122 2022/12/05 05:10:51 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:02:58 time: 0.0435 data_time: 0.0024 memory: 1122 2022/12/05 05:10:52 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:02:56 time: 0.0431 data_time: 0.0023 memory: 1122 2022/12/05 05:10:53 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:02:55 time: 0.0517 data_time: 0.0025 memory: 1231 2022/12/05 05:10:54 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:02:54 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 05:10:55 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:02:53 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 05:10:56 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:02:52 time: 0.0485 data_time: 0.0023 memory: 1231 2022/12/05 05:10:57 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:02:51 time: 0.0466 data_time: 0.0022 memory: 1170 2022/12/05 05:10:58 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:02:50 time: 0.0464 data_time: 0.0022 memory: 1170 2022/12/05 05:10:59 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:02:49 time: 0.0465 data_time: 0.0021 memory: 1170 2022/12/05 05:10:59 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:02:48 time: 0.0463 data_time: 0.0021 memory: 1170 2022/12/05 05:11:01 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:02:47 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 05:11:02 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:02:46 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 05:11:03 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:02:45 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 05:11:04 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:02:44 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 05:11:05 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:02:43 time: 0.0486 data_time: 0.0022 memory: 1231 2022/12/05 05:11:06 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:02:42 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:11:06 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:02:40 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 05:11:07 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:02:39 time: 0.0431 data_time: 0.0023 memory: 1122 2022/12/05 05:11:08 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:02:38 time: 0.0436 data_time: 0.0025 memory: 1122 2022/12/05 05:11:09 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:02:37 time: 0.0511 data_time: 0.0025 memory: 1231 2022/12/05 05:11:10 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:02:36 time: 0.0543 data_time: 0.0025 memory: 1231 2022/12/05 05:11:11 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:02:35 time: 0.0551 data_time: 0.0029 memory: 1231 2022/12/05 05:11:13 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:02:34 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 05:11:14 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:02:33 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 05:11:15 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:02:32 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 05:11:16 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:02:31 time: 0.0542 data_time: 0.0025 memory: 1231 2022/12/05 05:11:17 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:02:30 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 05:11:18 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:02:29 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 05:11:19 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:02:28 time: 0.0506 data_time: 0.0022 memory: 1231 2022/12/05 05:11:20 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:02:27 time: 0.0425 data_time: 0.0021 memory: 1113 2022/12/05 05:11:21 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:02:26 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 05:11:21 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:02:25 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 05:11:22 - mmengine - INFO - Epoch(val) [1][3460/6282] eta: 0:02:24 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 05:11:23 - mmengine - INFO - Epoch(val) [1][3480/6282] eta: 0:02:22 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:11:24 - mmengine - INFO - Epoch(val) [1][3500/6282] eta: 0:02:21 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 05:11:25 - mmengine - INFO - Epoch(val) [1][3520/6282] eta: 0:02:20 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:11:26 - mmengine - INFO - Epoch(val) [1][3540/6282] eta: 0:02:19 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:11:27 - mmengine - INFO - Epoch(val) [1][3560/6282] eta: 0:02:18 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 05:11:27 - mmengine - INFO - Epoch(val) [1][3580/6282] eta: 0:02:17 time: 0.0447 data_time: 0.0021 memory: 1197 2022/12/05 05:11:28 - mmengine - INFO - Epoch(val) [1][3600/6282] eta: 0:02:16 time: 0.0481 data_time: 0.0022 memory: 1197 2022/12/05 05:11:29 - mmengine - INFO - Epoch(val) [1][3620/6282] eta: 0:02:15 time: 0.0484 data_time: 0.0022 memory: 1197 2022/12/05 05:11:30 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:02:14 time: 0.0489 data_time: 0.0023 memory: 1197 2022/12/05 05:11:31 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:02:12 time: 0.0488 data_time: 0.0024 memory: 1197 2022/12/05 05:11:32 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:02:11 time: 0.0516 data_time: 0.0025 memory: 1231 2022/12/05 05:11:33 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:02:11 time: 0.0548 data_time: 0.0026 memory: 1231 2022/12/05 05:11:35 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:02:10 time: 0.0552 data_time: 0.0028 memory: 1231 2022/12/05 05:11:36 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:02:09 time: 0.0546 data_time: 0.0025 memory: 1231 2022/12/05 05:11:37 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:02:08 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 05:11:38 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:02:07 time: 0.0546 data_time: 0.0025 memory: 1231 2022/12/05 05:11:39 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:02:06 time: 0.0546 data_time: 0.0024 memory: 1231 2022/12/05 05:11:40 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:02:05 time: 0.0551 data_time: 0.0027 memory: 1231 2022/12/05 05:11:41 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:02:04 time: 0.0572 data_time: 0.0048 memory: 1231 2022/12/05 05:11:42 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:02:03 time: 0.0551 data_time: 0.0027 memory: 1231 2022/12/05 05:11:43 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:02:02 time: 0.0547 data_time: 0.0027 memory: 1231 2022/12/05 05:11:44 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:02:01 time: 0.0544 data_time: 0.0024 memory: 1231 2022/12/05 05:11:46 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:02:00 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 05:11:47 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:01:59 time: 0.0546 data_time: 0.0026 memory: 1231 2022/12/05 05:11:48 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:01:58 time: 0.0541 data_time: 0.0022 memory: 1231 2022/12/05 05:11:49 - mmengine - INFO 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eta: 0:01:41 time: 0.0424 data_time: 0.0022 memory: 1111 2022/12/05 05:12:06 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:01:40 time: 0.0421 data_time: 0.0021 memory: 1111 2022/12/05 05:12:07 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:01:39 time: 0.0423 data_time: 0.0021 memory: 1111 2022/12/05 05:12:08 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:01:38 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 05:12:09 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:01:37 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 05:12:10 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:01:36 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 05:12:11 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:01:35 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 05:12:12 - mmengine - INFO - Epoch(val) [1][4440/6282] eta: 0:01:34 time: 0.0549 data_time: 0.0024 memory: 1245 2022/12/05 05:12:14 - mmengine - INFO - Epoch(val) [1][4460/6282] eta: 0:01:33 time: 0.0547 data_time: 0.0023 memory: 1245 2022/12/05 05:12:15 - mmengine - INFO - Epoch(val) [1][4480/6282] eta: 0:01:32 time: 0.0547 data_time: 0.0023 memory: 1245 2022/12/05 05:12:16 - mmengine - INFO - Epoch(val) [1][4500/6282] eta: 0:01:31 time: 0.0548 data_time: 0.0023 memory: 1245 2022/12/05 05:12:17 - mmengine - INFO - Epoch(val) [1][4520/6282] eta: 0:01:30 time: 0.0519 data_time: 0.0024 memory: 1245 2022/12/05 05:12:18 - mmengine - INFO - Epoch(val) [1][4540/6282] eta: 0:01:28 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:12:18 - mmengine - INFO - Epoch(val) [1][4560/6282] eta: 0:01:27 time: 0.0426 data_time: 0.0021 memory: 1122 2022/12/05 05:12:19 - mmengine - INFO - Epoch(val) [1][4580/6282] eta: 0:01:26 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 05:12:20 - mmengine - INFO - Epoch(val) [1][4600/6282] eta: 0:01:25 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 05:12:21 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:01:24 time: 0.0428 data_time: 0.0021 memory: 1122 2022/12/05 05:12:22 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:01:23 time: 0.0546 data_time: 0.0023 memory: 1245 2022/12/05 05:12:23 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:01:22 time: 0.0549 data_time: 0.0024 memory: 1245 2022/12/05 05:12:24 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:01:21 time: 0.0548 data_time: 0.0023 memory: 1245 2022/12/05 05:12:25 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:01:20 time: 0.0547 data_time: 0.0023 memory: 1245 2022/12/05 05:12:27 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:01:19 time: 0.0545 data_time: 0.0026 memory: 1245 2022/12/05 05:12:27 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:01:18 time: 0.0464 data_time: 0.0024 memory: 1164 2022/12/05 05:12:28 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:01:17 time: 0.0463 data_time: 0.0022 memory: 1164 2022/12/05 05:12:29 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:16 time: 0.0462 data_time: 0.0022 memory: 1164 2022/12/05 05:12:30 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:15 time: 0.0464 data_time: 0.0022 memory: 1164 2022/12/05 05:12:31 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:01:14 time: 0.0487 data_time: 0.0023 memory: 1231 2022/12/05 05:12:32 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:01:13 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 05:12:33 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:01:12 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 05:12:34 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:01:11 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 05:12:36 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:01:10 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 05:12:37 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:01:09 time: 0.0543 data_time: 0.0024 memory: 1237 2022/12/05 05:12:38 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:08 time: 0.0542 data_time: 0.0023 memory: 1237 2022/12/05 05:12:39 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:01:07 time: 0.0541 data_time: 0.0022 memory: 1237 2022/12/05 05:12:40 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:01:06 time: 0.0542 data_time: 0.0023 memory: 1237 2022/12/05 05:12:41 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:01:05 time: 0.0546 data_time: 0.0025 memory: 1237 2022/12/05 05:12:42 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:01:04 time: 0.0478 data_time: 0.0022 memory: 1237 2022/12/05 05:12:43 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:01:03 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 05:12:44 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:01:02 time: 0.0429 data_time: 0.0022 memory: 1122 2022/12/05 05:12:44 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:01:01 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 05:12:45 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:01:00 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 05:12:46 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:00:59 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 05:12:47 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:00:58 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 05:12:48 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:00:56 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 05:12:49 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:00:55 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 05:12:50 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:00:54 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 05:12:50 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:00:53 time: 0.0436 data_time: 0.0030 memory: 1113 2022/12/05 05:12:51 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:00:52 time: 0.0426 data_time: 0.0021 memory: 1111 2022/12/05 05:12:52 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:00:51 time: 0.0422 data_time: 0.0021 memory: 1111 2022/12/05 05:12:53 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:00:50 time: 0.0423 data_time: 0.0021 memory: 1111 2022/12/05 05:12:54 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:00:49 time: 0.0421 data_time: 0.0021 memory: 1111 2022/12/05 05:12:55 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:00:48 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 05:12:56 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:00:47 time: 0.0425 data_time: 0.0022 memory: 1113 2022/12/05 05:12:56 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:00:46 time: 0.0424 data_time: 0.0022 memory: 1113 2022/12/05 05:12:57 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:00:45 time: 0.0425 data_time: 0.0022 memory: 1113 2022/12/05 05:12:58 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:00:44 time: 0.0426 data_time: 0.0025 memory: 1113 2022/12/05 05:12:59 - mmengine - INFO - Epoch(val) [1][5420/6282] eta: 0:00:43 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 05:13:00 - mmengine - INFO - Epoch(val) [1][5440/6282] eta: 0:00:42 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 05:13:01 - mmengine - INFO - Epoch(val) [1][5460/6282] eta: 0:00:41 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:13:01 - mmengine - INFO - Epoch(val) [1][5480/6282] eta: 0:00:40 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 05:13:02 - mmengine - INFO - Epoch(val) [1][5500/6282] eta: 0:00:39 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:13:03 - mmengine - INFO - Epoch(val) [1][5520/6282] eta: 0:00:38 time: 0.0447 data_time: 0.0022 memory: 1155 2022/12/05 05:13:04 - mmengine - INFO - Epoch(val) [1][5540/6282] eta: 0:00:37 time: 0.0453 data_time: 0.0022 memory: 1155 2022/12/05 05:13:05 - mmengine - INFO - Epoch(val) [1][5560/6282] eta: 0:00:36 time: 0.0454 data_time: 0.0022 memory: 1155 2022/12/05 05:13:06 - mmengine - INFO - Epoch(val) [1][5580/6282] eta: 0:00:35 time: 0.0454 data_time: 0.0022 memory: 1155 2022/12/05 05:13:07 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:00:34 time: 0.0452 data_time: 0.0022 memory: 1155 2022/12/05 05:13:08 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:33 time: 0.0433 data_time: 0.0022 memory: 1155 2022/12/05 05:13:09 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:00:32 time: 0.0425 data_time: 0.0021 memory: 1113 2022/12/05 05:13:09 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:31 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 05:13:10 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:30 time: 0.0423 data_time: 0.0022 memory: 1113 2022/12/05 05:13:11 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:29 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 05:13:12 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:00:28 time: 0.0444 data_time: 0.0021 memory: 1181 2022/12/05 05:13:13 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:27 time: 0.0472 data_time: 0.0022 memory: 1181 2022/12/05 05:13:14 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:00:26 time: 0.0474 data_time: 0.0023 memory: 1181 2022/12/05 05:13:15 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:25 time: 0.0474 data_time: 0.0022 memory: 1181 2022/12/05 05:13:16 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:24 time: 0.0474 data_time: 0.0022 memory: 1181 2022/12/05 05:13:17 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:23 time: 0.0464 data_time: 0.0022 memory: 1181 2022/12/05 05:13:18 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:22 time: 0.0453 data_time: 0.0022 memory: 1155 2022/12/05 05:13:19 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:21 time: 0.0455 data_time: 0.0022 memory: 1155 2022/12/05 05:13:19 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:20 time: 0.0452 data_time: 0.0022 memory: 1155 2022/12/05 05:13:20 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:19 time: 0.0453 data_time: 0.0022 memory: 1155 2022/12/05 05:13:21 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:18 time: 0.0437 data_time: 0.0023 memory: 1155 2022/12/05 05:13:22 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:17 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 05:13:23 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:16 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 05:13:24 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:15 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 05:13:25 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:14 time: 0.0512 data_time: 0.0022 memory: 1231 2022/12/05 05:13:26 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:13 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 05:13:27 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:12 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 05:13:28 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:11 time: 0.0546 data_time: 0.0026 memory: 1231 2022/12/05 05:13:29 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:10 time: 0.0554 data_time: 0.0028 memory: 1231 2022/12/05 05:13:30 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:09 time: 0.0552 data_time: 0.0027 memory: 1231 2022/12/05 05:13:31 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:08 time: 0.0552 data_time: 0.0029 memory: 1231 2022/12/05 05:13:32 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:07 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 05:13:34 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:06 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 05:13:35 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:05 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 05:13:36 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:04 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 05:13:37 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:03 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 05:13:38 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:02 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 05:13:39 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:01 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 05:13:40 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.0534 data_time: 0.0019 memory: 1231 2022/12/05 05:18:58 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.2627 2022/12/05 05:19:01 - mmengine - INFO - The best checkpoint with 0.2627 mAP/mAP@0.5IOU at 1 epoch is saved to best_mAP/mAP@0.5IOU_epoch_1.pth. 2022/12/05 05:19:12 - mmengine - INFO - Epoch(train) [2][ 20/4451] lr: 5.5197e-02 eta: 5:31:21 time: 0.5569 data_time: 0.0614 memory: 16785 grad_norm: 0.1331 loss: 0.0253 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6759 recall@top3: 0.6620 prec@top3: 0.5741 recall@top5: 0.8889 prec@top5: 0.4333 loss_action_cls: 0.0253 2022/12/05 05:19:22 - mmengine - INFO - Epoch(train) [2][ 40/4451] lr: 5.5399e-02 eta: 5:31:11 time: 0.4954 data_time: 0.0112 memory: 16785 grad_norm: 0.1291 loss: 0.0223 recall@thr=0.5: 0.5539 prec@thr=0.5: 0.5049 recall@top3: 0.7794 prec@top3: 0.5686 recall@top5: 0.9853 prec@top5: 0.4118 loss_action_cls: 0.0223 2022/12/05 05:19:32 - mmengine - INFO - Epoch(train) [2][ 60/4451] lr: 5.5602e-02 eta: 5:31:01 time: 0.4949 data_time: 0.0109 memory: 16785 grad_norm: 0.1345 loss: 0.0237 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6071 recall@top3: 0.7857 prec@top3: 0.4762 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0237 2022/12/05 05:19:42 - mmengine - INFO - Epoch(train) [2][ 80/4451] lr: 5.5804e-02 eta: 5:30:51 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1331 loss: 0.0234 recall@thr=0.5: 0.6933 prec@thr=0.5: 0.8033 recall@top3: 0.7333 prec@top3: 0.6933 recall@top5: 0.8667 prec@top5: 0.5040 loss_action_cls: 0.0234 2022/12/05 05:19:52 - mmengine - INFO - Epoch(train) [2][ 100/4451] lr: 5.6006e-02 eta: 5:30:40 time: 0.4940 data_time: 0.0101 memory: 16785 grad_norm: 0.1295 loss: 0.0224 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.8939 recall@top3: 0.7727 prec@top3: 0.5909 recall@top5: 0.9167 prec@top5: 0.4364 loss_action_cls: 0.0224 2022/12/05 05:20:02 - mmengine - INFO - Epoch(train) [2][ 120/4451] lr: 5.6208e-02 eta: 5:30:30 time: 0.4942 data_time: 0.0101 memory: 16785 grad_norm: 0.1389 loss: 0.0193 recall@thr=0.5: 0.6703 prec@thr=0.5: 0.7717 recall@top3: 0.7391 prec@top3: 0.6087 recall@top5: 0.8986 prec@top5: 0.4696 loss_action_cls: 0.0193 2022/12/05 05:20:11 - mmengine - INFO - Epoch(train) [2][ 140/4451] lr: 5.6411e-02 eta: 5:30:20 time: 0.4942 data_time: 0.0104 memory: 16785 grad_norm: 0.1359 loss: 0.0230 recall@thr=0.5: 0.5880 prec@thr=0.5: 0.6528 recall@top3: 0.6157 prec@top3: 0.4630 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0230 2022/12/05 05:20:21 - mmengine - INFO - Epoch(train) [2][ 160/4451] lr: 5.6613e-02 eta: 5:30:09 time: 0.4946 data_time: 0.0103 memory: 16785 grad_norm: 0.1267 loss: 0.0222 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8214 recall@top3: 0.7381 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.4000 loss_action_cls: 0.0222 2022/12/05 05:20:31 - mmengine - INFO - Epoch(train) [2][ 180/4451] lr: 5.6815e-02 eta: 5:29:59 time: 0.4953 data_time: 0.0101 memory: 16785 grad_norm: 0.1199 loss: 0.0238 recall@thr=0.5: 0.3974 prec@thr=0.5: 0.5641 recall@top3: 0.6026 prec@top3: 0.4872 recall@top5: 0.7308 prec@top5: 0.3692 loss_action_cls: 0.0238 2022/12/05 05:20:41 - mmengine - INFO - Epoch(train) [2][ 200/4451] lr: 5.7017e-02 eta: 5:29:49 time: 0.4945 data_time: 0.0101 memory: 16785 grad_norm: 0.1302 loss: 0.0216 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.6377 recall@top3: 0.7826 prec@top3: 0.5362 recall@top5: 0.8043 prec@top5: 0.3391 loss_action_cls: 0.0216 2022/12/05 05:20:51 - mmengine - INFO - Epoch(train) [2][ 220/4451] lr: 5.7219e-02 eta: 5:29:39 time: 0.4955 data_time: 0.0104 memory: 16785 grad_norm: 0.1287 loss: 0.0225 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.7619 recall@top3: 0.8810 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0225 2022/12/05 05:21:01 - mmengine - INFO - Epoch(train) [2][ 240/4451] lr: 5.7422e-02 eta: 5:29:29 time: 0.4967 data_time: 0.0121 memory: 16785 grad_norm: 0.1398 loss: 0.0214 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7727 recall@top3: 0.8371 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.4818 loss_action_cls: 0.0214 2022/12/05 05:21:11 - mmengine - INFO - Epoch(train) [2][ 260/4451] lr: 5.7624e-02 eta: 5:29:19 time: 0.4955 data_time: 0.0122 memory: 16785 grad_norm: 0.1273 loss: 0.0241 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.6000 recall@top3: 0.7889 prec@top3: 0.5333 recall@top5: 0.8556 prec@top5: 0.3600 loss_action_cls: 0.0241 2022/12/05 05:21:21 - mmengine - INFO - Epoch(train) [2][ 280/4451] lr: 5.7826e-02 eta: 5:29:09 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.1251 loss: 0.0231 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.7647 recall@top3: 0.7843 prec@top3: 0.4902 recall@top5: 0.9608 prec@top5: 0.3647 loss_action_cls: 0.0231 2022/12/05 05:21:31 - mmengine - INFO - Epoch(train) [2][ 300/4451] lr: 5.8028e-02 eta: 5:28:58 time: 0.4942 data_time: 0.0100 memory: 16785 grad_norm: 0.1514 loss: 0.0220 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.8222 recall@top3: 0.7889 prec@top3: 0.6667 recall@top5: 0.8778 prec@top5: 0.4533 loss_action_cls: 0.0220 2022/12/05 05:21:41 - mmengine - INFO - Epoch(train) [2][ 320/4451] lr: 5.8231e-02 eta: 5:28:48 time: 0.4939 data_time: 0.0103 memory: 16785 grad_norm: 0.1421 loss: 0.0263 recall@thr=0.5: 0.7069 prec@thr=0.5: 0.8132 recall@top3: 0.7989 prec@top3: 0.7011 recall@top5: 0.9368 prec@top5: 0.5034 loss_action_cls: 0.0263 2022/12/05 05:21:50 - mmengine - INFO - Epoch(train) [2][ 340/4451] lr: 5.8433e-02 eta: 5:28:38 time: 0.4952 data_time: 0.0102 memory: 16785 grad_norm: 0.1299 loss: 0.0222 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.5778 recall@top5: 0.9500 prec@top5: 0.4133 loss_action_cls: 0.0222 2022/12/05 05:22:00 - mmengine - INFO - Epoch(train) [2][ 360/4451] lr: 5.8635e-02 eta: 5:28:27 time: 0.4937 data_time: 0.0101 memory: 16785 grad_norm: 0.1266 loss: 0.0229 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5000 recall@top3: 0.7302 prec@top3: 0.4127 recall@top5: 0.9048 prec@top5: 0.3143 loss_action_cls: 0.0229 2022/12/05 05:22:10 - mmengine - INFO - Epoch(train) [2][ 380/4451] lr: 5.8837e-02 eta: 5:28:17 time: 0.4943 data_time: 0.0103 memory: 16785 grad_norm: 0.1374 loss: 0.0217 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.5926 recall@top3: 0.7130 prec@top3: 0.5741 recall@top5: 0.9028 prec@top5: 0.4333 loss_action_cls: 0.0217 2022/12/05 05:22:20 - mmengine - INFO - Epoch(train) [2][ 400/4451] lr: 5.9039e-02 eta: 5:28:07 time: 0.4946 data_time: 0.0105 memory: 16785 grad_norm: 0.1345 loss: 0.0246 recall@thr=0.5: 0.6179 prec@thr=0.5: 0.7154 recall@top3: 0.6628 prec@top3: 0.6154 recall@top5: 0.7897 prec@top5: 0.4615 loss_action_cls: 0.0246 2022/12/05 05:22:30 - mmengine - INFO - Epoch(train) [2][ 420/4451] lr: 5.9242e-02 eta: 5:27:57 time: 0.4944 data_time: 0.0099 memory: 16785 grad_norm: 0.1265 loss: 0.0214 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.7460 recall@top3: 0.7897 prec@top3: 0.5079 recall@top5: 0.9405 prec@top5: 0.3714 loss_action_cls: 0.0214 2022/12/05 05:22:40 - mmengine - INFO - Epoch(train) [2][ 440/4451] lr: 5.9444e-02 eta: 5:27:46 time: 0.4944 data_time: 0.0104 memory: 16785 grad_norm: 0.1261 loss: 0.0239 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.7628 recall@top3: 0.8205 prec@top3: 0.6026 recall@top5: 0.9295 prec@top5: 0.4231 loss_action_cls: 0.0239 2022/12/05 05:22:50 - mmengine - INFO - Epoch(train) [2][ 460/4451] lr: 5.9646e-02 eta: 5:27:36 time: 0.4946 data_time: 0.0106 memory: 16785 grad_norm: 0.1241 loss: 0.0236 recall@thr=0.5: 0.5573 prec@thr=0.5: 0.6979 recall@top3: 0.8594 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4250 loss_action_cls: 0.0236 2022/12/05 05:23:00 - mmengine - INFO - Epoch(train) [2][ 480/4451] lr: 5.9848e-02 eta: 5:27:26 time: 0.4946 data_time: 0.0105 memory: 16785 grad_norm: 0.1303 loss: 0.0234 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8241 recall@top3: 0.7685 prec@top3: 0.5926 recall@top5: 0.9537 prec@top5: 0.4444 loss_action_cls: 0.0234 2022/12/05 05:23:10 - mmengine - INFO - Epoch(train) [2][ 500/4451] lr: 6.0051e-02 eta: 5:27:16 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.1324 loss: 0.0222 recall@thr=0.5: 0.6065 prec@thr=0.5: 0.7222 recall@top3: 0.8148 prec@top3: 0.6481 recall@top5: 0.9537 prec@top5: 0.4667 loss_action_cls: 0.0222 2022/12/05 05:23:19 - mmengine - INFO - Epoch(train) [2][ 520/4451] lr: 6.0253e-02 eta: 5:27:05 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1350 loss: 0.0231 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.6852 recall@top3: 0.8611 prec@top3: 0.6111 recall@top5: 0.8796 prec@top5: 0.3778 loss_action_cls: 0.0231 2022/12/05 05:23:29 - mmengine - INFO - Epoch(train) [2][ 540/4451] lr: 6.0455e-02 eta: 5:26:55 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.1253 loss: 0.0221 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7667 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0221 2022/12/05 05:23:34 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 05:23:39 - mmengine - INFO - Epoch(train) [2][ 560/4451] lr: 6.0657e-02 eta: 5:26:45 time: 0.4946 data_time: 0.0100 memory: 16785 grad_norm: 0.1372 loss: 0.0223 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.8030 recall@top3: 0.8561 prec@top3: 0.6667 recall@top5: 0.9545 prec@top5: 0.4727 loss_action_cls: 0.0223 2022/12/05 05:23:49 - mmengine - INFO - Epoch(train) [2][ 580/4451] lr: 6.0859e-02 eta: 5:26:35 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.1341 loss: 0.0202 recall@thr=0.5: 0.5229 prec@thr=0.5: 0.7708 recall@top3: 0.7990 prec@top3: 0.7708 recall@top5: 0.9844 prec@top5: 0.6000 loss_action_cls: 0.0202 2022/12/05 05:23:59 - mmengine - INFO - Epoch(train) [2][ 600/4451] lr: 6.1062e-02 eta: 5:26:24 time: 0.4937 data_time: 0.0102 memory: 16785 grad_norm: 0.1256 loss: 0.0236 recall@thr=0.5: 0.6028 prec@thr=0.5: 0.7500 recall@top3: 0.7898 prec@top3: 0.5556 recall@top5: 0.9481 prec@top5: 0.4167 loss_action_cls: 0.0236 2022/12/05 05:24:09 - mmengine - INFO - Epoch(train) [2][ 620/4451] lr: 6.1264e-02 eta: 5:26:14 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.1366 loss: 0.0237 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8529 recall@top3: 0.8382 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4353 loss_action_cls: 0.0237 2022/12/05 05:24:19 - mmengine - INFO - Epoch(train) [2][ 640/4451] lr: 6.1466e-02 eta: 5:26:04 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.1219 loss: 0.0230 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.5588 recall@top3: 0.8627 prec@top3: 0.5098 recall@top5: 0.8627 prec@top5: 0.3059 loss_action_cls: 0.0230 2022/12/05 05:24:29 - mmengine - INFO - Epoch(train) [2][ 660/4451] lr: 6.1668e-02 eta: 5:25:54 time: 0.4935 data_time: 0.0102 memory: 16785 grad_norm: 0.1194 loss: 0.0204 recall@thr=0.5: 0.8114 prec@thr=0.5: 0.6667 recall@top3: 0.7588 prec@top3: 0.5614 recall@top5: 0.9825 prec@top5: 0.4526 loss_action_cls: 0.0204 2022/12/05 05:24:39 - mmengine - INFO - Epoch(train) [2][ 680/4451] lr: 6.1871e-02 eta: 5:25:43 time: 0.4948 data_time: 0.0101 memory: 16785 grad_norm: 0.1292 loss: 0.0240 recall@thr=0.5: 0.7113 prec@thr=0.5: 0.7560 recall@top3: 0.7946 prec@top3: 0.7381 recall@top5: 0.9226 prec@top5: 0.5214 loss_action_cls: 0.0240 2022/12/05 05:24:48 - mmengine - INFO - Epoch(train) [2][ 700/4451] lr: 6.2073e-02 eta: 5:25:33 time: 0.4941 data_time: 0.0103 memory: 16785 grad_norm: 0.1323 loss: 0.0232 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.8824 recall@top3: 0.8824 prec@top3: 0.6078 recall@top5: 0.8824 prec@top5: 0.3647 loss_action_cls: 0.0232 2022/12/05 05:24:58 - mmengine - INFO - Epoch(train) [2][ 720/4451] lr: 6.2275e-02 eta: 5:25:23 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1291 loss: 0.0237 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6667 recall@top3: 0.7389 prec@top3: 0.4889 recall@top5: 0.8944 prec@top5: 0.3733 loss_action_cls: 0.0237 2022/12/05 05:25:08 - mmengine - INFO - Epoch(train) [2][ 740/4451] lr: 6.2477e-02 eta: 5:25:13 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1244 loss: 0.0233 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8284 recall@top3: 0.7500 prec@top3: 0.6078 recall@top5: 0.9069 prec@top5: 0.4588 loss_action_cls: 0.0233 2022/12/05 05:25:18 - mmengine - INFO - Epoch(train) [2][ 760/4451] lr: 6.2679e-02 eta: 5:25:03 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1416 loss: 0.0239 recall@thr=0.5: 0.6707 prec@thr=0.5: 0.6267 recall@top3: 0.8413 prec@top3: 0.5867 recall@top5: 0.9440 prec@top5: 0.4160 loss_action_cls: 0.0239 2022/12/05 05:25:28 - mmengine - INFO - Epoch(train) [2][ 780/4451] lr: 6.2882e-02 eta: 5:24:52 time: 0.4947 data_time: 0.0100 memory: 16785 grad_norm: 0.1216 loss: 0.0237 recall@thr=0.5: 0.3803 prec@thr=0.5: 0.4924 recall@top3: 0.6758 prec@top3: 0.5152 recall@top5: 0.7697 prec@top5: 0.3727 loss_action_cls: 0.0237 2022/12/05 05:25:38 - mmengine - INFO - Epoch(train) [2][ 800/4451] lr: 6.3084e-02 eta: 5:24:42 time: 0.4946 data_time: 0.0101 memory: 16785 grad_norm: 0.1219 loss: 0.0256 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.7061 recall@top3: 0.7105 prec@top3: 0.5263 recall@top5: 0.9123 prec@top5: 0.4211 loss_action_cls: 0.0256 2022/12/05 05:25:48 - mmengine - INFO - Epoch(train) [2][ 820/4451] lr: 6.3286e-02 eta: 5:24:32 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.1271 loss: 0.0214 recall@thr=0.5: 0.2712 prec@thr=0.5: 0.3636 recall@top3: 0.5545 prec@top3: 0.4091 recall@top5: 0.7091 prec@top5: 0.3000 loss_action_cls: 0.0214 2022/12/05 05:25:58 - mmengine - INFO - Epoch(train) [2][ 840/4451] lr: 6.3488e-02 eta: 5:24:22 time: 0.4949 data_time: 0.0101 memory: 16785 grad_norm: 0.1269 loss: 0.0247 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6667 recall@top3: 0.7917 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0247 2022/12/05 05:26:08 - mmengine - INFO - Epoch(train) [2][ 860/4451] lr: 6.3691e-02 eta: 5:24:12 time: 0.4937 data_time: 0.0101 memory: 16785 grad_norm: 0.1225 loss: 0.0229 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7210 recall@top3: 0.7623 prec@top3: 0.6790 recall@top5: 0.9259 prec@top5: 0.4963 loss_action_cls: 0.0229 2022/12/05 05:26:17 - mmengine - INFO - Epoch(train) [2][ 880/4451] lr: 6.3893e-02 eta: 5:24:02 time: 0.4948 data_time: 0.0099 memory: 16785 grad_norm: 0.1226 loss: 0.0245 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.7000 recall@top3: 0.8111 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0245 2022/12/05 05:26:27 - mmengine - INFO - Epoch(train) [2][ 900/4451] lr: 6.4095e-02 eta: 5:23:51 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.1218 loss: 0.0231 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7917 recall@top3: 0.8611 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0231 2022/12/05 05:26:37 - mmengine - INFO - Epoch(train) [2][ 920/4451] lr: 6.4297e-02 eta: 5:23:41 time: 0.4946 data_time: 0.0101 memory: 16785 grad_norm: 0.1200 loss: 0.0234 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6083 recall@top3: 0.7208 prec@top3: 0.6500 recall@top5: 0.9417 prec@top5: 0.5200 loss_action_cls: 0.0234 2022/12/05 05:26:47 - mmengine - INFO - Epoch(train) [2][ 940/4451] lr: 6.4499e-02 eta: 5:23:31 time: 0.4945 data_time: 0.0099 memory: 16785 grad_norm: 0.1281 loss: 0.0225 recall@thr=0.5: 0.6530 prec@thr=0.5: 0.6161 recall@top3: 0.7226 prec@top3: 0.6190 recall@top5: 0.8786 prec@top5: 0.4643 loss_action_cls: 0.0225 2022/12/05 05:26:57 - mmengine - INFO - Epoch(train) [2][ 960/4451] lr: 6.4702e-02 eta: 5:23:21 time: 0.4946 data_time: 0.0102 memory: 16785 grad_norm: 0.1238 loss: 0.0230 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.7121 recall@top3: 0.7129 prec@top3: 0.7576 recall@top5: 0.8659 prec@top5: 0.5273 loss_action_cls: 0.0230 2022/12/05 05:27:07 - mmengine - INFO - Epoch(train) [2][ 980/4451] lr: 6.4904e-02 eta: 5:23:11 time: 0.4940 data_time: 0.0101 memory: 16785 grad_norm: 0.1239 loss: 0.0222 recall@thr=0.5: 0.5375 prec@thr=0.5: 0.6333 recall@top3: 0.6167 prec@top3: 0.5000 recall@top5: 0.7833 prec@top5: 0.3800 loss_action_cls: 0.0222 2022/12/05 05:27:17 - mmengine - INFO - Epoch(train) [2][1000/4451] lr: 6.5106e-02 eta: 5:23:01 time: 0.4953 data_time: 0.0101 memory: 16785 grad_norm: 0.1267 loss: 0.0213 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6373 recall@top3: 0.7990 prec@top3: 0.6275 recall@top5: 0.9657 prec@top5: 0.4824 loss_action_cls: 0.0213 2022/12/05 05:27:27 - mmengine - INFO - Epoch(train) [2][1020/4451] lr: 6.5308e-02 eta: 5:22:50 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1206 loss: 0.0226 recall@thr=0.5: 0.7634 prec@thr=0.5: 0.8145 recall@top3: 0.8548 prec@top3: 0.5591 recall@top5: 0.9677 prec@top5: 0.4000 loss_action_cls: 0.0226 2022/12/05 05:27:37 - mmengine - INFO - Epoch(train) [2][1040/4451] lr: 6.5511e-02 eta: 5:22:40 time: 0.4958 data_time: 0.0104 memory: 16785 grad_norm: 0.1345 loss: 0.0245 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6812 recall@top3: 0.7464 prec@top3: 0.5507 recall@top5: 0.8551 prec@top5: 0.3739 loss_action_cls: 0.0245 2022/12/05 05:27:46 - mmengine - INFO - Epoch(train) [2][1060/4451] lr: 6.5713e-02 eta: 5:22:30 time: 0.4939 data_time: 0.0101 memory: 16785 grad_norm: 0.1324 loss: 0.0239 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.4048 recall@top3: 0.7381 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0239 2022/12/05 05:27:56 - mmengine - INFO - Epoch(train) [2][1080/4451] lr: 6.5915e-02 eta: 5:22:20 time: 0.4938 data_time: 0.0102 memory: 16785 grad_norm: 0.1291 loss: 0.0231 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.4896 recall@top3: 0.7500 prec@top3: 0.4167 recall@top5: 0.8750 prec@top5: 0.2875 loss_action_cls: 0.0231 2022/12/05 05:28:06 - mmengine - INFO - Epoch(train) [2][1100/4451] lr: 6.6117e-02 eta: 5:22:10 time: 0.4953 data_time: 0.0111 memory: 16785 grad_norm: 0.1180 loss: 0.0213 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6429 recall@top3: 0.9048 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4190 loss_action_cls: 0.0213 2022/12/05 05:28:16 - mmengine - INFO - Epoch(train) [2][1120/4451] lr: 6.6320e-02 eta: 5:22:00 time: 0.4951 data_time: 0.0102 memory: 16785 grad_norm: 0.1259 loss: 0.0238 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7675 recall@top3: 0.8158 prec@top3: 0.7018 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0238 2022/12/05 05:28:26 - mmengine - INFO - Epoch(train) [2][1140/4451] lr: 6.6522e-02 eta: 5:21:50 time: 0.4952 data_time: 0.0103 memory: 16785 grad_norm: 0.1336 loss: 0.0218 recall@thr=0.5: 0.5688 prec@thr=0.5: 0.7246 recall@top3: 0.7319 prec@top3: 0.6957 recall@top5: 0.8551 prec@top5: 0.4957 loss_action_cls: 0.0218 2022/12/05 05:28:36 - mmengine - INFO - Epoch(train) [2][1160/4451] lr: 6.6724e-02 eta: 5:21:40 time: 0.4963 data_time: 0.0117 memory: 16785 grad_norm: 0.1263 loss: 0.0209 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.8750 recall@top3: 0.8646 prec@top3: 0.7917 recall@top5: 0.9688 prec@top5: 0.5500 loss_action_cls: 0.0209 2022/12/05 05:28:46 - mmengine - INFO - Epoch(train) [2][1180/4451] lr: 6.6926e-02 eta: 5:21:30 time: 0.4946 data_time: 0.0102 memory: 16785 grad_norm: 0.1183 loss: 0.0211 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8704 recall@top3: 0.7685 prec@top3: 0.4907 recall@top5: 0.8194 prec@top5: 0.3222 loss_action_cls: 0.0211 2022/12/05 05:28:56 - mmengine - INFO - Epoch(train) [2][1200/4451] lr: 6.7128e-02 eta: 5:21:19 time: 0.4937 data_time: 0.0101 memory: 16785 grad_norm: 0.1206 loss: 0.0237 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.4872 recall@top3: 0.6026 prec@top3: 0.3846 recall@top5: 0.7692 prec@top5: 0.3077 loss_action_cls: 0.0237 2022/12/05 05:29:06 - mmengine - INFO - Epoch(train) [2][1220/4451] lr: 6.7331e-02 eta: 5:21:09 time: 0.4946 data_time: 0.0103 memory: 16785 grad_norm: 0.1253 loss: 0.0216 recall@thr=0.5: 0.7033 prec@thr=0.5: 0.8750 recall@top3: 0.8783 prec@top3: 0.6833 recall@top5: 0.9400 prec@top5: 0.4500 loss_action_cls: 0.0216 2022/12/05 05:29:16 - mmengine - INFO - Epoch(train) [2][1240/4451] lr: 6.7533e-02 eta: 5:20:59 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1283 loss: 0.0227 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5237 recall@top3: 0.7675 prec@top3: 0.4737 recall@top5: 0.8816 prec@top5: 0.3579 loss_action_cls: 0.0227 2022/12/05 05:29:25 - mmengine - INFO - Epoch(train) [2][1260/4451] lr: 6.7735e-02 eta: 5:20:49 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.1300 loss: 0.0220 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7179 recall@top3: 0.8173 prec@top3: 0.6667 recall@top5: 0.9744 prec@top5: 0.4923 loss_action_cls: 0.0220 2022/12/05 05:29:35 - mmengine - INFO - Epoch(train) [2][1280/4451] lr: 6.7937e-02 eta: 5:20:39 time: 0.4952 data_time: 0.0104 memory: 16785 grad_norm: 0.1224 loss: 0.0230 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.6667 recall@top3: 0.7955 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0230 2022/12/05 05:29:45 - mmengine - INFO - Epoch(train) [2][1300/4451] lr: 6.8140e-02 eta: 5:20:29 time: 0.4948 data_time: 0.0101 memory: 16785 grad_norm: 0.1300 loss: 0.0220 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.6528 recall@top3: 0.6875 prec@top3: 0.5000 recall@top5: 0.9097 prec@top5: 0.4000 loss_action_cls: 0.0220 2022/12/05 05:29:55 - mmengine - INFO - Epoch(train) [2][1320/4451] lr: 6.8342e-02 eta: 5:20:19 time: 0.4945 data_time: 0.0102 memory: 16785 grad_norm: 0.1302 loss: 0.0244 recall@thr=0.5: 0.5265 prec@thr=0.5: 0.5947 recall@top3: 0.6591 prec@top3: 0.5455 recall@top5: 0.7500 prec@top5: 0.3909 loss_action_cls: 0.0244 2022/12/05 05:30:05 - mmengine - INFO - Epoch(train) [2][1340/4451] lr: 6.8544e-02 eta: 5:20:09 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.1170 loss: 0.0220 recall@thr=0.5: 0.6919 prec@thr=0.5: 0.7677 recall@top3: 0.7601 prec@top3: 0.6869 recall@top5: 0.8864 prec@top5: 0.4909 loss_action_cls: 0.0220 2022/12/05 05:30:15 - mmengine - INFO - Epoch(train) [2][1360/4451] lr: 6.8746e-02 eta: 5:19:58 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.1235 loss: 0.0208 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8431 recall@top3: 0.9706 prec@top3: 0.5294 recall@top5: 0.9853 prec@top5: 0.3294 loss_action_cls: 0.0208 2022/12/05 05:30:25 - mmengine - INFO - Epoch(train) [2][1380/4451] lr: 6.8948e-02 eta: 5:19:48 time: 0.4944 data_time: 0.0105 memory: 16785 grad_norm: 0.1278 loss: 0.0230 recall@thr=0.5: 0.4630 prec@thr=0.5: 0.5741 recall@top3: 0.5463 prec@top3: 0.4444 recall@top5: 0.7222 prec@top5: 0.3667 loss_action_cls: 0.0230 2022/12/05 05:30:35 - mmengine - INFO - Epoch(train) [2][1400/4451] lr: 6.9151e-02 eta: 5:19:38 time: 0.4944 data_time: 0.0099 memory: 16785 grad_norm: 0.1247 loss: 0.0242 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.7059 recall@top3: 0.6569 prec@top3: 0.5490 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0242 2022/12/05 05:30:45 - mmengine - INFO - Epoch(train) [2][1420/4451] lr: 6.9353e-02 eta: 5:19:28 time: 0.4940 data_time: 0.0100 memory: 16785 grad_norm: 0.1331 loss: 0.0230 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.7208 recall@top3: 0.7167 prec@top3: 0.6667 recall@top5: 0.8917 prec@top5: 0.5200 loss_action_cls: 0.0230 2022/12/05 05:30:54 - mmengine - INFO - Epoch(train) [2][1440/4451] lr: 6.9555e-02 eta: 5:19:18 time: 0.4941 data_time: 0.0101 memory: 16785 grad_norm: 0.1181 loss: 0.0218 recall@thr=0.5: 0.6076 prec@thr=0.5: 0.6556 recall@top3: 0.7292 prec@top3: 0.6389 recall@top5: 0.9097 prec@top5: 0.4750 loss_action_cls: 0.0218 2022/12/05 05:31:04 - mmengine - INFO - Epoch(train) [2][1460/4451] lr: 6.9757e-02 eta: 5:19:08 time: 0.4944 data_time: 0.0104 memory: 16785 grad_norm: 0.1207 loss: 0.0214 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.5417 recall@top3: 0.7188 prec@top3: 0.4375 recall@top5: 0.8854 prec@top5: 0.3125 loss_action_cls: 0.0214 2022/12/05 05:31:14 - mmengine - INFO - Epoch(train) [2][1480/4451] lr: 6.9960e-02 eta: 5:18:57 time: 0.4946 data_time: 0.0099 memory: 16785 grad_norm: 0.1186 loss: 0.0229 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6667 recall@top3: 0.6771 prec@top3: 0.5417 recall@top5: 0.8056 prec@top5: 0.4167 loss_action_cls: 0.0229 2022/12/05 05:31:24 - mmengine - INFO - Epoch(train) [2][1500/4451] lr: 7.0162e-02 eta: 5:18:47 time: 0.4944 data_time: 0.0099 memory: 16785 grad_norm: 0.1249 loss: 0.0236 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8968 recall@top3: 0.7937 prec@top3: 0.6984 recall@top5: 0.8413 prec@top5: 0.4381 loss_action_cls: 0.0236 2022/12/05 05:31:34 - mmengine - INFO - Epoch(train) [2][1520/4451] lr: 7.0364e-02 eta: 5:18:37 time: 0.4946 data_time: 0.0103 memory: 16785 grad_norm: 0.1244 loss: 0.0213 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.4867 recall@top3: 0.7467 prec@top3: 0.6133 recall@top5: 0.9067 prec@top5: 0.4480 loss_action_cls: 0.0213 2022/12/05 05:31:44 - mmengine - INFO - Epoch(train) [2][1540/4451] lr: 7.0566e-02 eta: 5:18:27 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.1254 loss: 0.0230 recall@thr=0.5: 0.4773 prec@thr=0.5: 0.5227 recall@top3: 0.5606 prec@top3: 0.3636 recall@top5: 0.8788 prec@top5: 0.3455 loss_action_cls: 0.0230 2022/12/05 05:31:48 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 05:31:54 - mmengine - INFO - Epoch(train) [2][1560/4451] lr: 7.0768e-02 eta: 5:18:17 time: 0.4941 data_time: 0.0103 memory: 16785 grad_norm: 0.1270 loss: 0.0236 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6667 recall@top3: 0.7778 prec@top3: 0.5185 recall@top5: 0.8426 prec@top5: 0.3444 loss_action_cls: 0.0236 2022/12/05 05:32:04 - mmengine - INFO - Epoch(train) [2][1580/4451] lr: 7.0971e-02 eta: 5:18:07 time: 0.4955 data_time: 0.0102 memory: 16785 grad_norm: 0.1225 loss: 0.0226 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8529 recall@top3: 0.8039 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.4588 loss_action_cls: 0.0226 2022/12/05 05:32:14 - mmengine - INFO - Epoch(train) [2][1600/4451] lr: 7.1173e-02 eta: 5:17:57 time: 0.4945 data_time: 0.0102 memory: 16785 grad_norm: 0.1316 loss: 0.0214 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.5324 recall@top3: 0.7963 prec@top3: 0.5000 recall@top5: 0.9167 prec@top5: 0.3556 loss_action_cls: 0.0214 2022/12/05 05:32:23 - mmengine - INFO - Epoch(train) [2][1620/4451] lr: 7.1375e-02 eta: 5:17:47 time: 0.4947 data_time: 0.0105 memory: 16785 grad_norm: 0.1154 loss: 0.0221 recall@thr=0.5: 0.8174 prec@thr=0.5: 0.8125 recall@top3: 0.8417 prec@top3: 0.6389 recall@top5: 0.9333 prec@top5: 0.4500 loss_action_cls: 0.0221 2022/12/05 05:32:33 - mmengine - INFO - Epoch(train) [2][1640/4451] lr: 7.1577e-02 eta: 5:17:37 time: 0.4949 data_time: 0.0097 memory: 16785 grad_norm: 0.1306 loss: 0.0247 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.5965 recall@top3: 0.8114 prec@top3: 0.5965 recall@top5: 0.8465 prec@top5: 0.3789 loss_action_cls: 0.0247 2022/12/05 05:32:43 - mmengine - INFO - Epoch(train) [2][1660/4451] lr: 7.1780e-02 eta: 5:17:27 time: 0.4951 data_time: 0.0102 memory: 16785 grad_norm: 0.1216 loss: 0.0191 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7857 recall@top3: 1.0000 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0191 2022/12/05 05:32:53 - mmengine - INFO - Epoch(train) [2][1680/4451] lr: 7.1982e-02 eta: 5:17:17 time: 0.4955 data_time: 0.0101 memory: 16785 grad_norm: 0.1230 loss: 0.0218 recall@thr=0.5: 0.3854 prec@thr=0.5: 0.5937 recall@top3: 0.7083 prec@top3: 0.5833 recall@top5: 0.7708 prec@top5: 0.3625 loss_action_cls: 0.0218 2022/12/05 05:33:03 - mmengine - INFO - Epoch(train) [2][1700/4451] lr: 7.2184e-02 eta: 5:17:07 time: 0.4949 data_time: 0.0102 memory: 16785 grad_norm: 0.1318 loss: 0.0220 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.7103 recall@top3: 0.6825 prec@top3: 0.6508 recall@top5: 0.8571 prec@top5: 0.5048 loss_action_cls: 0.0220 2022/12/05 05:33:13 - mmengine - INFO - Epoch(train) [2][1720/4451] lr: 7.2386e-02 eta: 5:16:57 time: 0.4951 data_time: 0.0100 memory: 16785 grad_norm: 0.1196 loss: 0.0244 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6795 recall@top3: 0.6774 prec@top3: 0.5983 recall@top5: 0.9679 prec@top5: 0.4974 loss_action_cls: 0.0244 2022/12/05 05:33:23 - mmengine - INFO - Epoch(train) [2][1740/4451] lr: 7.2588e-02 eta: 5:16:46 time: 0.4941 data_time: 0.0104 memory: 16785 grad_norm: 0.1211 loss: 0.0207 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7963 recall@top3: 0.7731 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5889 loss_action_cls: 0.0207 2022/12/05 05:33:33 - mmengine - INFO - Epoch(train) [2][1760/4451] lr: 7.2791e-02 eta: 5:16:36 time: 0.4942 data_time: 0.0104 memory: 16785 grad_norm: 0.1168 loss: 0.0227 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.4896 recall@top3: 0.6250 prec@top3: 0.3750 recall@top5: 0.8854 prec@top5: 0.3500 loss_action_cls: 0.0227 2022/12/05 05:33:43 - mmengine - INFO - Epoch(train) [2][1780/4451] lr: 7.2993e-02 eta: 5:16:26 time: 0.4941 data_time: 0.0104 memory: 16785 grad_norm: 0.1166 loss: 0.0222 recall@thr=0.5: 0.7614 prec@thr=0.5: 0.7121 recall@top3: 0.9129 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.3909 loss_action_cls: 0.0222 2022/12/05 05:33:53 - mmengine - INFO - Epoch(train) [2][1800/4451] lr: 7.3195e-02 eta: 5:16:16 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1173 loss: 0.0217 recall@thr=0.5: 0.3879 prec@thr=0.5: 0.5690 recall@top3: 0.6149 prec@top3: 0.5287 recall@top5: 0.8966 prec@top5: 0.4345 loss_action_cls: 0.0217 2022/12/05 05:34:02 - mmengine - INFO - Epoch(train) [2][1820/4451] lr: 7.3397e-02 eta: 5:16:06 time: 0.4949 data_time: 0.0101 memory: 16785 grad_norm: 0.1283 loss: 0.0226 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.6071 recall@top3: 0.8274 prec@top3: 0.5000 recall@top5: 0.9107 prec@top5: 0.3429 loss_action_cls: 0.0226 2022/12/05 05:34:12 - mmengine - INFO - Epoch(train) [2][1840/4451] lr: 7.3600e-02 eta: 5:15:56 time: 0.4945 data_time: 0.0101 memory: 16785 grad_norm: 0.1216 loss: 0.0206 recall@thr=0.5: 0.7765 prec@thr=0.5: 0.8182 recall@top3: 0.8826 prec@top3: 0.5758 recall@top5: 0.9545 prec@top5: 0.4000 loss_action_cls: 0.0206 2022/12/05 05:34:22 - mmengine - INFO - Epoch(train) [2][1860/4451] lr: 7.3802e-02 eta: 5:15:46 time: 0.4956 data_time: 0.0100 memory: 16785 grad_norm: 0.1131 loss: 0.0234 recall@thr=0.5: 0.6738 prec@thr=0.5: 0.7714 recall@top3: 0.7738 prec@top3: 0.6952 recall@top5: 0.8976 prec@top5: 0.4857 loss_action_cls: 0.0234 2022/12/05 05:34:32 - mmengine - INFO - Epoch(train) [2][1880/4451] lr: 7.4004e-02 eta: 5:15:36 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1131 loss: 0.0212 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8036 recall@top3: 0.7857 prec@top3: 0.6786 recall@top5: 0.9286 prec@top5: 0.4786 loss_action_cls: 0.0212 2022/12/05 05:34:42 - mmengine - INFO - Epoch(train) [2][1900/4451] lr: 7.4206e-02 eta: 5:15:26 time: 0.4956 data_time: 0.0102 memory: 16785 grad_norm: 0.1225 loss: 0.0229 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.6611 recall@top3: 0.7222 prec@top3: 0.4889 recall@top5: 0.7833 prec@top5: 0.3333 loss_action_cls: 0.0229 2022/12/05 05:34:52 - mmengine - INFO - Epoch(train) [2][1920/4451] lr: 7.4408e-02 eta: 5:15:16 time: 0.4947 data_time: 0.0104 memory: 16785 grad_norm: 0.1175 loss: 0.0232 recall@thr=0.5: 0.5921 prec@thr=0.5: 0.6974 recall@top3: 0.7500 prec@top3: 0.6491 recall@top5: 0.9254 prec@top5: 0.4737 loss_action_cls: 0.0232 2022/12/05 05:35:02 - mmengine - INFO - Epoch(train) [2][1940/4451] lr: 7.4611e-02 eta: 5:15:06 time: 0.4949 data_time: 0.0101 memory: 16785 grad_norm: 0.1392 loss: 0.0217 recall@thr=0.5: 0.4208 prec@thr=0.5: 0.5250 recall@top3: 0.5208 prec@top3: 0.4500 recall@top5: 0.8792 prec@top5: 0.4300 loss_action_cls: 0.0217 2022/12/05 05:35:12 - mmengine - INFO - Epoch(train) [2][1960/4451] lr: 7.4813e-02 eta: 5:14:55 time: 0.4946 data_time: 0.0101 memory: 16785 grad_norm: 0.1372 loss: 0.0225 recall@thr=0.5: 0.7743 prec@thr=0.5: 0.6979 recall@top3: 0.8090 prec@top3: 0.5694 recall@top5: 0.9271 prec@top5: 0.4167 loss_action_cls: 0.0225 2022/12/05 05:35:22 - mmengine - INFO - Epoch(train) [2][1980/4451] lr: 7.5015e-02 eta: 5:14:45 time: 0.4950 data_time: 0.0101 memory: 16785 grad_norm: 0.1189 loss: 0.0227 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.8116 recall@top3: 0.8551 prec@top3: 0.6522 recall@top5: 1.0000 prec@top5: 0.4696 loss_action_cls: 0.0227 2022/12/05 05:35:32 - mmengine - INFO - Epoch(train) [2][2000/4451] lr: 7.5217e-02 eta: 5:14:35 time: 0.4954 data_time: 0.0110 memory: 16785 grad_norm: 0.1209 loss: 0.0215 recall@thr=0.5: 0.6049 prec@thr=0.5: 0.6358 recall@top3: 0.8148 prec@top3: 0.5802 recall@top5: 0.9383 prec@top5: 0.4222 loss_action_cls: 0.0215 2022/12/05 05:35:41 - mmengine - INFO - Epoch(train) [2][2020/4451] lr: 7.5420e-02 eta: 5:14:25 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.1229 loss: 0.0221 recall@thr=0.5: 0.4650 prec@thr=0.5: 0.6250 recall@top3: 0.6300 prec@top3: 0.5500 recall@top5: 0.7917 prec@top5: 0.4400 loss_action_cls: 0.0221 2022/12/05 05:35:51 - mmengine - INFO - Epoch(train) [2][2040/4451] lr: 7.5622e-02 eta: 5:14:16 time: 0.4967 data_time: 0.0127 memory: 16785 grad_norm: 0.1170 loss: 0.0226 recall@thr=0.5: 0.5904 prec@thr=0.5: 0.9298 recall@top3: 0.7482 prec@top3: 0.7193 recall@top5: 0.8807 prec@top5: 0.5158 loss_action_cls: 0.0226 2022/12/05 05:36:01 - mmengine - INFO - Epoch(train) [2][2060/4451] lr: 7.5824e-02 eta: 5:14:06 time: 0.4946 data_time: 0.0105 memory: 16785 grad_norm: 0.1249 loss: 0.0213 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7833 recall@top3: 0.8250 prec@top3: 0.5333 recall@top5: 0.9833 prec@top5: 0.3900 loss_action_cls: 0.0213 2022/12/05 05:36:11 - mmengine - INFO - Epoch(train) [2][2080/4451] lr: 7.6026e-02 eta: 5:13:55 time: 0.4952 data_time: 0.0104 memory: 16785 grad_norm: 0.1203 loss: 0.0216 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.8148 recall@top3: 0.7731 prec@top3: 0.6296 recall@top5: 0.9398 prec@top5: 0.4889 loss_action_cls: 0.0216 2022/12/05 05:36:21 - mmengine - INFO - Epoch(train) [2][2100/4451] lr: 7.6229e-02 eta: 5:13:46 time: 0.4955 data_time: 0.0102 memory: 16785 grad_norm: 0.1158 loss: 0.0219 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.7917 recall@top3: 0.9222 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4467 loss_action_cls: 0.0219 2022/12/05 05:36:31 - mmengine - INFO - Epoch(train) [2][2120/4451] lr: 7.6431e-02 eta: 5:13:35 time: 0.4945 data_time: 0.0098 memory: 16785 grad_norm: 0.1219 loss: 0.0235 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.8056 recall@top3: 0.7685 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4667 loss_action_cls: 0.0235 2022/12/05 05:36:41 - mmengine - INFO - Epoch(train) [2][2140/4451] lr: 7.6633e-02 eta: 5:13:25 time: 0.4951 data_time: 0.0104 memory: 16785 grad_norm: 0.1184 loss: 0.0224 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5417 recall@top3: 0.6389 prec@top3: 0.4444 recall@top5: 0.8796 prec@top5: 0.3556 loss_action_cls: 0.0224 2022/12/05 05:36:51 - mmengine - INFO - Epoch(train) [2][2160/4451] lr: 7.6835e-02 eta: 5:13:15 time: 0.4942 data_time: 0.0105 memory: 16785 grad_norm: 0.1150 loss: 0.0230 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8889 recall@top3: 0.9375 prec@top3: 0.5278 recall@top5: 0.9896 prec@top5: 0.3417 loss_action_cls: 0.0230 2022/12/05 05:37:01 - mmengine - INFO - Epoch(train) [2][2180/4451] lr: 7.7037e-02 eta: 5:13:05 time: 0.4940 data_time: 0.0102 memory: 16785 grad_norm: 0.1152 loss: 0.0210 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.8056 recall@top3: 0.7593 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.4222 loss_action_cls: 0.0210 2022/12/05 05:37:11 - mmengine - INFO - Epoch(train) [2][2200/4451] lr: 7.7240e-02 eta: 5:12:55 time: 0.4954 data_time: 0.0100 memory: 16785 grad_norm: 0.1175 loss: 0.0214 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5635 recall@top3: 0.6706 prec@top3: 0.4127 recall@top5: 0.9405 prec@top5: 0.3810 loss_action_cls: 0.0214 2022/12/05 05:37:20 - mmengine - INFO - Epoch(train) [2][2220/4451] lr: 7.7442e-02 eta: 5:12:45 time: 0.4960 data_time: 0.0108 memory: 16785 grad_norm: 0.1166 loss: 0.0221 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.7619 recall@top3: 0.7063 prec@top3: 0.5873 recall@top5: 0.8651 prec@top5: 0.4381 loss_action_cls: 0.0221 2022/12/05 05:37:30 - mmengine - INFO - Epoch(train) [2][2240/4451] lr: 7.7644e-02 eta: 5:12:35 time: 0.4953 data_time: 0.0111 memory: 16785 grad_norm: 0.1296 loss: 0.0232 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.6032 recall@top3: 0.7024 prec@top3: 0.5079 recall@top5: 0.8254 prec@top5: 0.3714 loss_action_cls: 0.0232 2022/12/05 05:37:40 - mmengine - INFO - Epoch(train) [2][2260/4451] lr: 7.7846e-02 eta: 5:12:25 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.1274 loss: 0.0231 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.5098 recall@top3: 0.5392 prec@top3: 0.3529 recall@top5: 0.7647 prec@top5: 0.2941 loss_action_cls: 0.0231 2022/12/05 05:37:50 - mmengine - INFO - Epoch(train) [2][2280/4451] lr: 7.8049e-02 eta: 5:12:15 time: 0.4950 data_time: 0.0104 memory: 16785 grad_norm: 0.1185 loss: 0.0214 recall@thr=0.5: 0.5967 prec@thr=0.5: 0.5667 recall@top3: 0.7167 prec@top3: 0.4933 recall@top5: 0.7767 prec@top5: 0.3360 loss_action_cls: 0.0214 2022/12/05 05:38:00 - mmengine - INFO - Epoch(train) [2][2300/4451] lr: 7.8251e-02 eta: 5:12:05 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1193 loss: 0.0226 recall@thr=0.5: 0.4741 prec@thr=0.5: 0.6494 recall@top3: 0.7931 prec@top3: 0.5287 recall@top5: 0.9684 prec@top5: 0.3931 loss_action_cls: 0.0226 2022/12/05 05:38:10 - mmengine - INFO - Epoch(train) [2][2320/4451] lr: 7.8453e-02 eta: 5:11:55 time: 0.4949 data_time: 0.0110 memory: 16785 grad_norm: 0.1139 loss: 0.0205 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8068 recall@top3: 0.8561 prec@top3: 0.6818 recall@top5: 0.9432 prec@top5: 0.4636 loss_action_cls: 0.0205 2022/12/05 05:38:20 - mmengine - INFO - Epoch(train) [2][2340/4451] lr: 7.8655e-02 eta: 5:11:45 time: 0.4940 data_time: 0.0101 memory: 16785 grad_norm: 0.1161 loss: 0.0224 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.6019 recall@top3: 0.6991 prec@top3: 0.5185 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0224 2022/12/05 05:38:30 - mmengine - INFO - Epoch(train) [2][2360/4451] lr: 7.8857e-02 eta: 5:11:35 time: 0.4948 data_time: 0.0102 memory: 16785 grad_norm: 0.1192 loss: 0.0203 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8214 recall@top3: 0.9524 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3286 loss_action_cls: 0.0203 2022/12/05 05:38:40 - mmengine - INFO - Epoch(train) [2][2380/4451] lr: 7.9060e-02 eta: 5:11:25 time: 0.4950 data_time: 0.0101 memory: 16785 grad_norm: 0.1158 loss: 0.0214 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7381 recall@top3: 0.8492 prec@top3: 0.6349 recall@top5: 0.9683 prec@top5: 0.4476 loss_action_cls: 0.0214 2022/12/05 05:38:50 - mmengine - INFO - Epoch(train) [2][2400/4451] lr: 7.9262e-02 eta: 5:11:15 time: 0.4948 data_time: 0.0100 memory: 16785 grad_norm: 0.1202 loss: 0.0234 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.5667 recall@top3: 0.7833 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4100 loss_action_cls: 0.0234 2022/12/05 05:38:59 - mmengine - INFO - Epoch(train) [2][2420/4451] lr: 7.9464e-02 eta: 5:11:05 time: 0.4944 data_time: 0.0108 memory: 16785 grad_norm: 0.1252 loss: 0.0214 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6272 recall@top3: 0.6930 prec@top3: 0.5439 recall@top5: 0.8158 prec@top5: 0.4000 loss_action_cls: 0.0214 2022/12/05 05:39:09 - mmengine - INFO - Epoch(train) [2][2440/4451] lr: 7.9666e-02 eta: 5:10:55 time: 0.4951 data_time: 0.0102 memory: 16785 grad_norm: 0.1204 loss: 0.0233 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7944 recall@top3: 0.8889 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0233 2022/12/05 05:39:19 - mmengine - INFO - Epoch(train) [2][2460/4451] lr: 7.9869e-02 eta: 5:10:45 time: 0.4958 data_time: 0.0103 memory: 16785 grad_norm: 0.1138 loss: 0.0233 recall@thr=0.5: 0.5430 prec@thr=0.5: 0.6747 recall@top3: 0.6511 prec@top3: 0.5806 recall@top5: 0.8274 prec@top5: 0.4710 loss_action_cls: 0.0233 2022/12/05 05:39:29 - mmengine - INFO - Epoch(train) [2][2480/4451] lr: 8.0071e-02 eta: 5:10:35 time: 0.4943 data_time: 0.0107 memory: 16785 grad_norm: 0.1199 loss: 0.0227 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.6508 recall@top3: 0.6905 prec@top3: 0.5873 recall@top5: 0.7540 prec@top5: 0.3905 loss_action_cls: 0.0227 2022/12/05 05:39:39 - mmengine - INFO - Epoch(train) [2][2500/4451] lr: 8.0273e-02 eta: 5:10:25 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1100 loss: 0.0200 recall@thr=0.5: 0.7247 prec@thr=0.5: 0.8667 recall@top3: 0.8013 prec@top3: 0.7733 recall@top5: 0.9433 prec@top5: 0.5600 loss_action_cls: 0.0200 2022/12/05 05:39:49 - mmengine - INFO - Epoch(train) [2][2520/4451] lr: 8.0475e-02 eta: 5:10:15 time: 0.4954 data_time: 0.0098 memory: 16785 grad_norm: 0.1222 loss: 0.0224 recall@thr=0.5: 0.5183 prec@thr=0.5: 0.6429 recall@top3: 0.5619 prec@top3: 0.5714 recall@top5: 0.7373 prec@top5: 0.4286 loss_action_cls: 0.0224 2022/12/05 05:39:59 - mmengine - INFO - Epoch(train) [2][2540/4451] lr: 8.0677e-02 eta: 5:10:05 time: 0.4946 data_time: 0.0106 memory: 16785 grad_norm: 0.1199 loss: 0.0236 recall@thr=0.5: 0.6030 prec@thr=0.5: 0.6705 recall@top3: 0.6826 prec@top3: 0.5758 recall@top5: 0.8197 prec@top5: 0.4455 loss_action_cls: 0.0236 2022/12/05 05:40:03 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 05:40:09 - mmengine - INFO - Epoch(train) [2][2560/4451] lr: 8.0880e-02 eta: 5:09:55 time: 0.4946 data_time: 0.0099 memory: 16785 grad_norm: 0.1169 loss: 0.0223 recall@thr=0.5: 0.5016 prec@thr=0.5: 0.5873 recall@top3: 0.7254 prec@top3: 0.5397 recall@top5: 0.9254 prec@top5: 0.4095 loss_action_cls: 0.0223 2022/12/05 05:40:19 - mmengine - INFO - Epoch(train) [2][2580/4451] lr: 8.1082e-02 eta: 5:09:45 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.1120 loss: 0.0213 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0213 2022/12/05 05:40:29 - mmengine - INFO - Epoch(train) [2][2600/4451] lr: 8.1284e-02 eta: 5:09:35 time: 0.4958 data_time: 0.0100 memory: 16785 grad_norm: 0.1263 loss: 0.0195 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8258 recall@top3: 0.8939 prec@top3: 0.7424 recall@top5: 0.9583 prec@top5: 0.4909 loss_action_cls: 0.0195 2022/12/05 05:40:38 - mmengine - INFO - Epoch(train) [2][2620/4451] lr: 8.1486e-02 eta: 5:09:25 time: 0.4948 data_time: 0.0100 memory: 16785 grad_norm: 0.1194 loss: 0.0213 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7812 recall@top3: 0.8229 prec@top3: 0.5208 recall@top5: 0.9271 prec@top5: 0.3500 loss_action_cls: 0.0213 2022/12/05 05:40:48 - mmengine - INFO - Epoch(train) [2][2640/4451] lr: 8.1689e-02 eta: 5:09:15 time: 0.4952 data_time: 0.0100 memory: 16785 grad_norm: 0.1192 loss: 0.0213 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.6288 recall@top3: 0.7765 prec@top3: 0.6212 recall@top5: 0.9470 prec@top5: 0.4364 loss_action_cls: 0.0213 2022/12/05 05:40:58 - mmengine - INFO - Epoch(train) [2][2660/4451] lr: 8.1891e-02 eta: 5:09:05 time: 0.4942 data_time: 0.0101 memory: 16785 grad_norm: 0.1211 loss: 0.0233 recall@thr=0.5: 0.5570 prec@thr=0.5: 0.6754 recall@top3: 0.6711 prec@top3: 0.5263 recall@top5: 0.9211 prec@top5: 0.4526 loss_action_cls: 0.0233 2022/12/05 05:41:08 - mmengine - INFO - Epoch(train) [2][2680/4451] lr: 8.2093e-02 eta: 5:08:55 time: 0.4947 data_time: 0.0101 memory: 16785 grad_norm: 0.1164 loss: 0.0218 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.6930 recall@top3: 0.9035 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4000 loss_action_cls: 0.0218 2022/12/05 05:41:18 - mmengine - INFO - Epoch(train) [2][2700/4451] lr: 8.2295e-02 eta: 5:08:45 time: 0.4941 data_time: 0.0103 memory: 16785 grad_norm: 0.1189 loss: 0.0235 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0235 2022/12/05 05:41:28 - mmengine - INFO - Epoch(train) [2][2720/4451] lr: 8.2497e-02 eta: 5:08:34 time: 0.4945 data_time: 0.0106 memory: 16785 grad_norm: 0.1218 loss: 0.0217 recall@thr=0.5: 0.4062 prec@thr=0.5: 0.5694 recall@top3: 0.6181 prec@top3: 0.5139 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0217 2022/12/05 05:41:38 - mmengine - INFO - Epoch(train) [2][2740/4451] lr: 8.2700e-02 eta: 5:08:24 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1190 loss: 0.0221 recall@thr=0.5: 0.5907 prec@thr=0.5: 0.6230 recall@top3: 0.7010 prec@top3: 0.5686 recall@top5: 0.8382 prec@top5: 0.4294 loss_action_cls: 0.0221 2022/12/05 05:41:48 - mmengine - INFO - Epoch(train) [2][2760/4451] lr: 8.2902e-02 eta: 5:08:14 time: 0.4942 data_time: 0.0101 memory: 16785 grad_norm: 0.1350 loss: 0.0227 recall@thr=0.5: 0.4405 prec@thr=0.5: 0.6190 recall@top3: 0.8333 prec@top3: 0.6429 recall@top5: 0.9048 prec@top5: 0.4286 loss_action_cls: 0.0227 2022/12/05 05:41:58 - mmengine - INFO - Epoch(train) [2][2780/4451] lr: 8.3104e-02 eta: 5:08:04 time: 0.4942 data_time: 0.0101 memory: 16785 grad_norm: 0.1124 loss: 0.0216 recall@thr=0.5: 0.7933 prec@thr=0.5: 0.8400 recall@top3: 0.8233 prec@top3: 0.7467 recall@top5: 0.9200 prec@top5: 0.4960 loss_action_cls: 0.0216 2022/12/05 05:42:07 - mmengine - INFO - Epoch(train) [2][2800/4451] lr: 8.3306e-02 eta: 5:07:54 time: 0.4948 data_time: 0.0102 memory: 16785 grad_norm: 0.1210 loss: 0.0235 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.7400 recall@top3: 0.8133 prec@top3: 0.6800 recall@top5: 0.9600 prec@top5: 0.4800 loss_action_cls: 0.0235 2022/12/05 05:42:17 - mmengine - INFO - Epoch(train) [2][2820/4451] lr: 8.3509e-02 eta: 5:07:44 time: 0.4950 data_time: 0.0098 memory: 16785 grad_norm: 0.1149 loss: 0.0229 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.8194 recall@top3: 0.7361 prec@top3: 0.5278 recall@top5: 0.9167 prec@top5: 0.4167 loss_action_cls: 0.0229 2022/12/05 05:42:27 - mmengine - INFO - Epoch(train) [2][2840/4451] lr: 8.3711e-02 eta: 5:07:34 time: 0.4945 data_time: 0.0102 memory: 16785 grad_norm: 0.1119 loss: 0.0220 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.6222 recall@top3: 0.7000 prec@top3: 0.4667 recall@top5: 0.8333 prec@top5: 0.3467 loss_action_cls: 0.0220 2022/12/05 05:42:37 - mmengine - INFO - Epoch(train) [2][2860/4451] lr: 8.3913e-02 eta: 5:07:24 time: 0.4952 data_time: 0.0102 memory: 16785 grad_norm: 0.1113 loss: 0.0234 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6019 recall@top3: 0.6759 prec@top3: 0.4815 recall@top5: 0.8148 prec@top5: 0.3556 loss_action_cls: 0.0234 2022/12/05 05:42:47 - mmengine - INFO - Epoch(train) [2][2880/4451] lr: 8.4115e-02 eta: 5:07:14 time: 0.4952 data_time: 0.0101 memory: 16785 grad_norm: 0.1234 loss: 0.0241 recall@thr=0.5: 0.5967 prec@thr=0.5: 0.6467 recall@top3: 0.7333 prec@top3: 0.6133 recall@top5: 0.8933 prec@top5: 0.4320 loss_action_cls: 0.0241 2022/12/05 05:42:57 - mmengine - INFO - Epoch(train) [2][2900/4451] lr: 8.4317e-02 eta: 5:07:04 time: 0.4955 data_time: 0.0103 memory: 16785 grad_norm: 0.1146 loss: 0.0231 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.4444 recall@top3: 0.6389 prec@top3: 0.4167 recall@top5: 0.8958 prec@top5: 0.3500 loss_action_cls: 0.0231 2022/12/05 05:43:07 - mmengine - INFO - Epoch(train) [2][2920/4451] lr: 8.4520e-02 eta: 5:06:54 time: 0.4963 data_time: 0.0103 memory: 16785 grad_norm: 0.1185 loss: 0.0219 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.5937 recall@top3: 0.7292 prec@top3: 0.4792 recall@top5: 0.8750 prec@top5: 0.3625 loss_action_cls: 0.0219 2022/12/05 05:43:17 - mmengine - INFO - Epoch(train) [2][2940/4451] lr: 8.4722e-02 eta: 5:06:44 time: 0.4954 data_time: 0.0101 memory: 16785 grad_norm: 0.1210 loss: 0.0232 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.9167 recall@top3: 0.9405 prec@top3: 0.6190 recall@top5: 0.9405 prec@top5: 0.3714 loss_action_cls: 0.0232 2022/12/05 05:43:27 - mmengine - INFO - Epoch(train) [2][2960/4451] lr: 8.4924e-02 eta: 5:06:34 time: 0.4946 data_time: 0.0100 memory: 16785 grad_norm: 0.1165 loss: 0.0219 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7153 recall@top3: 0.7708 prec@top3: 0.5139 recall@top5: 0.8750 prec@top5: 0.3667 loss_action_cls: 0.0219 2022/12/05 05:43:37 - mmengine - INFO - Epoch(train) [2][2980/4451] lr: 8.5126e-02 eta: 5:06:24 time: 0.4943 data_time: 0.0100 memory: 16785 grad_norm: 0.1174 loss: 0.0211 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7500 recall@top3: 0.7250 prec@top3: 0.6333 recall@top5: 0.8167 prec@top5: 0.4400 loss_action_cls: 0.0211 2022/12/05 05:43:46 - mmengine - INFO - Epoch(train) [2][3000/4451] lr: 8.5329e-02 eta: 5:06:14 time: 0.4946 data_time: 0.0102 memory: 16785 grad_norm: 0.1178 loss: 0.0229 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6833 recall@top3: 0.7556 prec@top3: 0.5333 recall@top5: 0.9111 prec@top5: 0.3733 loss_action_cls: 0.0229 2022/12/05 05:43:56 - mmengine - INFO - Epoch(train) [2][3020/4451] lr: 8.5531e-02 eta: 5:06:04 time: 0.4940 data_time: 0.0102 memory: 16785 grad_norm: 0.1220 loss: 0.0220 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5222 recall@top3: 0.9000 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.3200 loss_action_cls: 0.0220 2022/12/05 05:44:06 - mmengine - INFO - Epoch(train) [2][3040/4451] lr: 8.5733e-02 eta: 5:05:54 time: 0.4945 data_time: 0.0101 memory: 16785 grad_norm: 0.1189 loss: 0.0215 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.7692 recall@top3: 0.7179 prec@top3: 0.5769 recall@top5: 1.0000 prec@top5: 0.4769 loss_action_cls: 0.0215 2022/12/05 05:44:16 - mmengine - INFO - Epoch(train) [2][3060/4451] lr: 8.5935e-02 eta: 5:05:44 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1250 loss: 0.0231 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.5000 recall@top3: 0.7500 prec@top3: 0.4762 recall@top5: 0.8571 prec@top5: 0.3429 loss_action_cls: 0.0231 2022/12/05 05:44:26 - mmengine - INFO - Epoch(train) [2][3080/4451] lr: 8.6138e-02 eta: 5:05:34 time: 0.4949 data_time: 0.0102 memory: 16785 grad_norm: 0.1124 loss: 0.0224 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.4333 recall@top3: 0.7583 prec@top3: 0.3833 recall@top5: 0.9083 prec@top5: 0.2900 loss_action_cls: 0.0224 2022/12/05 05:44:36 - mmengine - INFO - Epoch(train) [2][3100/4451] lr: 8.6340e-02 eta: 5:05:24 time: 0.4968 data_time: 0.0104 memory: 16785 grad_norm: 0.1144 loss: 0.0218 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.7130 recall@top3: 0.7500 prec@top3: 0.5185 recall@top5: 0.8611 prec@top5: 0.3556 loss_action_cls: 0.0218 2022/12/05 05:44:46 - mmengine - INFO - Epoch(train) [2][3120/4451] lr: 8.6542e-02 eta: 5:05:14 time: 0.4938 data_time: 0.0102 memory: 16785 grad_norm: 0.1186 loss: 0.0217 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8472 recall@top3: 0.8611 prec@top3: 0.7222 recall@top5: 0.9259 prec@top5: 0.4778 loss_action_cls: 0.0217 2022/12/05 05:44:56 - mmengine - INFO - Epoch(train) [2][3140/4451] lr: 8.6744e-02 eta: 5:05:04 time: 0.4951 data_time: 0.0101 memory: 16785 grad_norm: 0.1184 loss: 0.0213 recall@thr=0.5: 0.5632 prec@thr=0.5: 0.5747 recall@top3: 0.6954 prec@top3: 0.4598 recall@top5: 0.8563 prec@top5: 0.3517 loss_action_cls: 0.0213 2022/12/05 05:45:06 - mmengine - INFO - Epoch(train) [2][3160/4451] lr: 8.6946e-02 eta: 5:04:54 time: 0.4940 data_time: 0.0100 memory: 16785 grad_norm: 0.1136 loss: 0.0211 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.6863 recall@top3: 0.7353 prec@top3: 0.4314 recall@top5: 0.8137 prec@top5: 0.3059 loss_action_cls: 0.0211 2022/12/05 05:45:16 - mmengine - INFO - Epoch(train) [2][3180/4451] lr: 8.7149e-02 eta: 5:04:44 time: 0.4952 data_time: 0.0101 memory: 16785 grad_norm: 0.1130 loss: 0.0204 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.7895 recall@top3: 0.6930 prec@top3: 0.5439 recall@top5: 0.8421 prec@top5: 0.4105 loss_action_cls: 0.0204 2022/12/05 05:45:25 - mmengine - INFO - Epoch(train) [2][3200/4451] lr: 8.7351e-02 eta: 5:04:34 time: 0.4947 data_time: 0.0102 memory: 16785 grad_norm: 0.1203 loss: 0.0233 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6032 recall@top3: 0.8413 prec@top3: 0.6508 recall@top5: 0.8413 prec@top5: 0.3905 loss_action_cls: 0.0233 2022/12/05 05:45:35 - mmengine - INFO - Epoch(train) [2][3220/4451] lr: 8.7553e-02 eta: 5:04:24 time: 0.4943 data_time: 0.0104 memory: 16785 grad_norm: 0.1142 loss: 0.0202 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.7727 recall@top3: 0.6621 prec@top3: 0.6061 recall@top5: 0.9205 prec@top5: 0.5273 loss_action_cls: 0.0202 2022/12/05 05:45:45 - mmengine - INFO - Epoch(train) [2][3240/4451] lr: 8.7755e-02 eta: 5:04:14 time: 0.4944 data_time: 0.0099 memory: 16785 grad_norm: 0.1166 loss: 0.0217 recall@thr=0.5: 0.4630 prec@thr=0.5: 0.5000 recall@top3: 0.5741 prec@top3: 0.4259 recall@top5: 0.7963 prec@top5: 0.3667 loss_action_cls: 0.0217 2022/12/05 05:45:55 - mmengine - INFO - Epoch(train) [2][3260/4451] lr: 8.7958e-02 eta: 5:04:04 time: 0.4950 data_time: 0.0102 memory: 16785 grad_norm: 0.1111 loss: 0.0227 recall@thr=0.5: 0.6483 prec@thr=0.5: 0.7500 recall@top3: 0.7350 prec@top3: 0.7167 recall@top5: 0.9467 prec@top5: 0.5400 loss_action_cls: 0.0227 2022/12/05 05:46:05 - mmengine - INFO - Epoch(train) [2][3280/4451] lr: 8.8160e-02 eta: 5:03:54 time: 0.4948 data_time: 0.0102 memory: 16785 grad_norm: 0.1058 loss: 0.0219 recall@thr=0.5: 0.6980 prec@thr=0.5: 0.8333 recall@top3: 0.7275 prec@top3: 0.7059 recall@top5: 0.9029 prec@top5: 0.5294 loss_action_cls: 0.0219 2022/12/05 05:46:15 - mmengine - INFO - Epoch(train) [2][3300/4451] lr: 8.8362e-02 eta: 5:03:44 time: 0.4942 data_time: 0.0105 memory: 16785 grad_norm: 0.1207 loss: 0.0223 recall@thr=0.5: 0.4545 prec@thr=0.5: 0.4621 recall@top3: 0.6515 prec@top3: 0.4242 recall@top5: 0.8636 prec@top5: 0.3091 loss_action_cls: 0.0223 2022/12/05 05:46:25 - mmengine - INFO - Epoch(train) [2][3320/4451] lr: 8.8564e-02 eta: 5:03:34 time: 0.4950 data_time: 0.0104 memory: 16785 grad_norm: 0.1255 loss: 0.0222 recall@thr=0.5: 0.7184 prec@thr=0.5: 0.8046 recall@top3: 0.8707 prec@top3: 0.6322 recall@top5: 0.9598 prec@top5: 0.4207 loss_action_cls: 0.0222 2022/12/05 05:46:35 - mmengine - INFO - Epoch(train) [2][3340/4451] lr: 8.8766e-02 eta: 5:03:24 time: 0.4955 data_time: 0.0102 memory: 16785 grad_norm: 0.1137 loss: 0.0223 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8437 recall@top3: 0.9271 prec@top3: 0.8125 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0223 2022/12/05 05:46:45 - mmengine - INFO - Epoch(train) [2][3360/4451] lr: 8.8969e-02 eta: 5:03:14 time: 0.4956 data_time: 0.0101 memory: 16785 grad_norm: 0.1128 loss: 0.0232 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6296 recall@top3: 0.7685 prec@top3: 0.5926 recall@top5: 0.9630 prec@top5: 0.4222 loss_action_cls: 0.0232 2022/12/05 05:46:55 - mmengine - INFO - Epoch(train) [2][3380/4451] lr: 8.9171e-02 eta: 5:03:04 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1063 loss: 0.0217 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.6833 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4600 loss_action_cls: 0.0217 2022/12/05 05:47:04 - mmengine - INFO - Epoch(train) [2][3400/4451] lr: 8.9373e-02 eta: 5:02:54 time: 0.4952 data_time: 0.0100 memory: 16785 grad_norm: 0.1132 loss: 0.0219 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.6228 recall@top3: 0.7763 prec@top3: 0.6316 recall@top5: 0.9298 prec@top5: 0.4737 loss_action_cls: 0.0219 2022/12/05 05:47:14 - mmengine - INFO - Epoch(train) [2][3420/4451] lr: 8.9575e-02 eta: 5:02:44 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.1312 loss: 0.0219 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.6389 recall@top3: 0.8095 prec@top3: 0.6825 recall@top5: 0.9365 prec@top5: 0.4857 loss_action_cls: 0.0219 2022/12/05 05:47:24 - mmengine - INFO - Epoch(train) [2][3440/4451] lr: 8.9778e-02 eta: 5:02:34 time: 0.4951 data_time: 0.0100 memory: 16785 grad_norm: 0.1095 loss: 0.0206 recall@thr=0.5: 0.5613 prec@thr=0.5: 0.7133 recall@top3: 0.7780 prec@top3: 0.6267 recall@top5: 0.9600 prec@top5: 0.4960 loss_action_cls: 0.0206 2022/12/05 05:47:34 - mmengine - INFO - Epoch(train) [2][3460/4451] lr: 8.9980e-02 eta: 5:02:24 time: 0.4950 data_time: 0.0102 memory: 16785 grad_norm: 0.1193 loss: 0.0205 recall@thr=0.5: 0.4621 prec@thr=0.5: 0.6061 recall@top3: 0.7614 prec@top3: 0.5303 recall@top5: 0.8144 prec@top5: 0.3545 loss_action_cls: 0.0205 2022/12/05 05:47:44 - mmengine - INFO - Epoch(train) [2][3480/4451] lr: 9.0182e-02 eta: 5:02:14 time: 0.4954 data_time: 0.0101 memory: 16785 grad_norm: 0.1186 loss: 0.0242 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.5933 recall@top3: 0.7733 prec@top3: 0.4933 recall@top5: 0.9733 prec@top5: 0.3840 loss_action_cls: 0.0242 2022/12/05 05:47:54 - mmengine - INFO - Epoch(train) [2][3500/4451] lr: 9.0384e-02 eta: 5:02:04 time: 0.4955 data_time: 0.0103 memory: 16785 grad_norm: 0.1048 loss: 0.0208 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9062 recall@top3: 0.9583 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0208 2022/12/05 05:48:04 - mmengine - INFO - Epoch(train) [2][3520/4451] lr: 9.0586e-02 eta: 5:01:54 time: 0.4940 data_time: 0.0104 memory: 16785 grad_norm: 0.1093 loss: 0.0214 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.6404 recall@top3: 0.8158 prec@top3: 0.6316 recall@top5: 0.9605 prec@top5: 0.4526 loss_action_cls: 0.0214 2022/12/05 05:48:14 - mmengine - INFO - Epoch(train) [2][3540/4451] lr: 9.0789e-02 eta: 5:01:44 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1111 loss: 0.0220 recall@thr=0.5: 0.6571 prec@thr=0.5: 0.7778 recall@top3: 0.7587 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.5143 loss_action_cls: 0.0220 2022/12/05 05:48:18 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 05:48:24 - mmengine - INFO - Epoch(train) [2][3560/4451] lr: 9.0991e-02 eta: 5:01:34 time: 0.4945 data_time: 0.0101 memory: 16785 grad_norm: 0.1136 loss: 0.0229 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7143 recall@top3: 0.7619 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.3429 loss_action_cls: 0.0229 2022/12/05 05:48:34 - mmengine - INFO - Epoch(train) [2][3580/4451] lr: 9.1193e-02 eta: 5:01:24 time: 0.4943 data_time: 0.0100 memory: 16785 grad_norm: 0.1097 loss: 0.0218 recall@thr=0.5: 0.5311 prec@thr=0.5: 0.5972 recall@top3: 0.7033 prec@top3: 0.5778 recall@top5: 0.9278 prec@top5: 0.4667 loss_action_cls: 0.0218 2022/12/05 05:48:43 - mmengine - INFO - Epoch(train) [2][3600/4451] lr: 9.1395e-02 eta: 5:01:14 time: 0.4951 data_time: 0.0103 memory: 16785 grad_norm: 0.1065 loss: 0.0213 recall@thr=0.5: 0.4819 prec@thr=0.5: 0.5000 recall@top3: 0.8514 prec@top3: 0.5362 recall@top5: 0.9565 prec@top5: 0.3826 loss_action_cls: 0.0213 2022/12/05 05:48:53 - mmengine - INFO - Epoch(train) [2][3620/4451] lr: 9.1598e-02 eta: 5:01:04 time: 0.4947 data_time: 0.0099 memory: 16785 grad_norm: 0.1099 loss: 0.0232 recall@thr=0.5: 0.4348 prec@thr=0.5: 0.5870 recall@top3: 0.7609 prec@top3: 0.5362 recall@top5: 0.8696 prec@top5: 0.3739 loss_action_cls: 0.0232 2022/12/05 05:49:03 - mmengine - INFO - Epoch(train) [2][3640/4451] lr: 9.1800e-02 eta: 5:00:54 time: 0.4950 data_time: 0.0102 memory: 16785 grad_norm: 0.1068 loss: 0.0236 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.7381 recall@top3: 0.7470 prec@top3: 0.6190 recall@top5: 0.9345 prec@top5: 0.4929 loss_action_cls: 0.0236 2022/12/05 05:49:13 - mmengine - INFO - Epoch(train) [2][3660/4451] lr: 9.2002e-02 eta: 5:00:44 time: 0.4944 data_time: 0.0101 memory: 16785 grad_norm: 0.1220 loss: 0.0217 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.7698 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4476 loss_action_cls: 0.0217 2022/12/05 05:49:23 - mmengine - INFO - Epoch(train) [2][3680/4451] lr: 9.2204e-02 eta: 5:00:34 time: 0.4949 data_time: 0.0101 memory: 16785 grad_norm: 0.1105 loss: 0.0229 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7381 recall@top3: 0.8631 prec@top3: 0.5952 recall@top5: 0.9524 prec@top5: 0.4000 loss_action_cls: 0.0229 2022/12/05 05:49:33 - mmengine - INFO - Epoch(train) [2][3700/4451] lr: 9.2406e-02 eta: 5:00:24 time: 0.4959 data_time: 0.0108 memory: 16785 grad_norm: 0.1096 loss: 0.0239 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7000 recall@top3: 0.6778 prec@top3: 0.6444 recall@top5: 0.8444 prec@top5: 0.4933 loss_action_cls: 0.0239 2022/12/05 05:49:43 - mmengine - INFO - Epoch(train) [2][3720/4451] lr: 9.2609e-02 eta: 5:00:14 time: 0.4947 data_time: 0.0103 memory: 16785 grad_norm: 0.1094 loss: 0.0204 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.7812 recall@top3: 0.9375 prec@top3: 0.4583 recall@top5: 0.9375 prec@top5: 0.2750 loss_action_cls: 0.0204 2022/12/05 05:49:53 - mmengine - INFO - Epoch(train) [2][3740/4451] lr: 9.2811e-02 eta: 5:00:04 time: 0.4952 data_time: 0.0100 memory: 16785 grad_norm: 0.1099 loss: 0.0205 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.6818 recall@top3: 0.7424 prec@top3: 0.5455 recall@top5: 0.8636 prec@top5: 0.3636 loss_action_cls: 0.0205 2022/12/05 05:50:03 - mmengine - INFO - Epoch(train) [2][3760/4451] lr: 9.3013e-02 eta: 4:59:54 time: 0.4946 data_time: 0.0100 memory: 16785 grad_norm: 0.1154 loss: 0.0218 recall@thr=0.5: 0.5125 prec@thr=0.5: 0.5333 recall@top3: 0.6875 prec@top3: 0.5167 recall@top5: 0.9083 prec@top5: 0.3900 loss_action_cls: 0.0218 2022/12/05 05:50:12 - mmengine - INFO - Epoch(train) [2][3780/4451] lr: 9.3215e-02 eta: 4:59:44 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1259 loss: 0.0224 recall@thr=0.5: 0.5657 prec@thr=0.5: 0.6333 recall@top3: 0.7449 prec@top3: 0.6061 recall@top5: 0.8939 prec@top5: 0.4485 loss_action_cls: 0.0224 2022/12/05 05:50:22 - mmengine - INFO - Epoch(train) [2][3800/4451] lr: 9.3418e-02 eta: 4:59:34 time: 0.4942 data_time: 0.0100 memory: 16785 grad_norm: 0.1071 loss: 0.0219 recall@thr=0.5: 0.4143 prec@thr=0.5: 0.7143 recall@top3: 0.7000 prec@top3: 0.4762 recall@top5: 0.7714 prec@top5: 0.3238 loss_action_cls: 0.0219 2022/12/05 05:50:32 - mmengine - INFO - Epoch(train) [2][3820/4451] lr: 9.3620e-02 eta: 4:59:24 time: 0.4951 data_time: 0.0103 memory: 16785 grad_norm: 0.1104 loss: 0.0223 recall@thr=0.5: 0.5260 prec@thr=0.5: 0.5750 recall@top3: 0.6562 prec@top3: 0.5625 recall@top5: 0.7656 prec@top5: 0.4125 loss_action_cls: 0.0223 2022/12/05 05:50:42 - mmengine - INFO - Epoch(train) [2][3840/4451] lr: 9.3822e-02 eta: 4:59:14 time: 0.4947 data_time: 0.0104 memory: 16785 grad_norm: 0.1163 loss: 0.0230 recall@thr=0.5: 0.6696 prec@thr=0.5: 0.7536 recall@top3: 0.8304 prec@top3: 0.5217 recall@top5: 0.9152 prec@top5: 0.3565 loss_action_cls: 0.0230 2022/12/05 05:50:52 - mmengine - INFO - Epoch(train) [2][3860/4451] lr: 9.4024e-02 eta: 4:59:04 time: 0.4950 data_time: 0.0103 memory: 16785 grad_norm: 0.1131 loss: 0.0214 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6905 recall@top3: 0.8016 prec@top3: 0.5714 recall@top5: 0.8413 prec@top5: 0.3714 loss_action_cls: 0.0214 2022/12/05 05:51:02 - mmengine - INFO - Epoch(train) [2][3880/4451] lr: 9.4226e-02 eta: 4:58:54 time: 0.4960 data_time: 0.0101 memory: 16785 grad_norm: 0.1131 loss: 0.0204 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7179 recall@top3: 0.8109 prec@top3: 0.6154 recall@top5: 0.9263 prec@top5: 0.4308 loss_action_cls: 0.0204 2022/12/05 05:51:12 - mmengine - INFO - Epoch(train) [2][3900/4451] lr: 9.4429e-02 eta: 4:58:45 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1138 loss: 0.0220 recall@thr=0.5: 0.6782 prec@thr=0.5: 0.7759 recall@top3: 0.7500 prec@top3: 0.6207 recall@top5: 0.8764 prec@top5: 0.4414 loss_action_cls: 0.0220 2022/12/05 05:51:22 - mmengine - INFO - Epoch(train) [2][3920/4451] lr: 9.4631e-02 eta: 4:58:34 time: 0.4945 data_time: 0.0100 memory: 16785 grad_norm: 0.1094 loss: 0.0211 recall@thr=0.5: 0.5594 prec@thr=0.5: 0.6522 recall@top3: 0.8406 prec@top3: 0.6812 recall@top5: 0.9029 prec@top5: 0.4522 loss_action_cls: 0.0211 2022/12/05 05:51:32 - mmengine - INFO - Epoch(train) [2][3940/4451] lr: 9.4833e-02 eta: 4:58:25 time: 0.4952 data_time: 0.0103 memory: 16785 grad_norm: 0.1138 loss: 0.0226 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.6594 recall@top3: 0.7536 prec@top3: 0.5942 recall@top5: 0.9167 prec@top5: 0.4261 loss_action_cls: 0.0226 2022/12/05 05:51:42 - mmengine - INFO - Epoch(train) [2][3960/4451] lr: 9.5035e-02 eta: 4:58:15 time: 0.4949 data_time: 0.0102 memory: 16785 grad_norm: 0.1163 loss: 0.0232 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7262 recall@top3: 0.7500 prec@top3: 0.6548 recall@top5: 0.8393 prec@top5: 0.4429 loss_action_cls: 0.0232 2022/12/05 05:51:52 - mmengine - INFO - Epoch(train) [2][3980/4451] lr: 9.5238e-02 eta: 4:58:05 time: 0.4945 data_time: 0.0102 memory: 16785 grad_norm: 0.1174 loss: 0.0227 recall@thr=0.5: 0.8651 prec@thr=0.5: 0.8095 recall@top3: 0.8770 prec@top3: 0.7302 recall@top5: 0.9365 prec@top5: 0.4667 loss_action_cls: 0.0227 2022/12/05 05:52:01 - mmengine - INFO - Epoch(train) [2][4000/4451] lr: 9.5440e-02 eta: 4:57:55 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1079 loss: 0.0210 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7941 recall@top3: 0.8333 prec@top3: 0.5686 recall@top5: 0.9069 prec@top5: 0.3765 loss_action_cls: 0.0210 2022/12/05 05:52:11 - mmengine - INFO - Epoch(train) [2][4020/4451] lr: 9.5642e-02 eta: 4:57:44 time: 0.4946 data_time: 0.0102 memory: 16785 grad_norm: 0.1128 loss: 0.0224 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7187 recall@top3: 0.8438 prec@top3: 0.5000 recall@top5: 0.9375 prec@top5: 0.3375 loss_action_cls: 0.0224 2022/12/05 05:52:21 - mmengine - INFO - Epoch(train) [2][4040/4451] lr: 9.5844e-02 eta: 4:57:34 time: 0.4944 data_time: 0.0101 memory: 16785 grad_norm: 0.1103 loss: 0.0218 recall@thr=0.5: 0.3431 prec@thr=0.5: 0.5147 recall@top3: 0.7529 prec@top3: 0.5686 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0218 2022/12/05 05:52:31 - mmengine - INFO - Epoch(train) [2][4060/4451] lr: 9.6047e-02 eta: 4:57:25 time: 0.4957 data_time: 0.0101 memory: 16785 grad_norm: 0.1094 loss: 0.0187 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.6282 recall@top3: 0.8590 prec@top3: 0.5641 recall@top5: 0.9679 prec@top5: 0.3846 loss_action_cls: 0.0187 2022/12/05 05:52:41 - mmengine - INFO - Epoch(train) [2][4080/4451] lr: 9.6249e-02 eta: 4:57:15 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1154 loss: 0.0209 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.9815 recall@top3: 0.9815 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0209 2022/12/05 05:52:51 - mmengine - INFO - Epoch(train) [2][4100/4451] lr: 9.6451e-02 eta: 4:57:05 time: 0.4952 data_time: 0.0104 memory: 16785 grad_norm: 0.1120 loss: 0.0209 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6875 recall@top3: 0.8125 prec@top3: 0.5208 recall@top5: 0.9375 prec@top5: 0.3625 loss_action_cls: 0.0209 2022/12/05 05:53:01 - mmengine - INFO - Epoch(train) [2][4120/4451] lr: 9.6653e-02 eta: 4:56:55 time: 0.4947 data_time: 0.0102 memory: 16785 grad_norm: 0.1146 loss: 0.0221 recall@thr=0.5: 0.8281 prec@thr=0.5: 0.8437 recall@top3: 0.9062 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0221 2022/12/05 05:53:11 - mmengine - INFO - Epoch(train) [2][4140/4451] lr: 9.6855e-02 eta: 4:56:45 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1053 loss: 0.0208 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.8333 recall@top3: 0.8250 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5100 loss_action_cls: 0.0208 2022/12/05 05:53:21 - mmengine - INFO - Epoch(train) [2][4160/4451] lr: 9.7058e-02 eta: 4:56:35 time: 0.4955 data_time: 0.0105 memory: 16785 grad_norm: 0.1063 loss: 0.0213 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8523 recall@top3: 0.8674 prec@top3: 0.7576 recall@top5: 0.9205 prec@top5: 0.4909 loss_action_cls: 0.0213 2022/12/05 05:53:31 - mmengine - INFO - Epoch(train) [2][4180/4451] lr: 9.7260e-02 eta: 4:56:25 time: 0.4956 data_time: 0.0100 memory: 16785 grad_norm: 0.1090 loss: 0.0237 recall@thr=0.5: 0.4948 prec@thr=0.5: 0.5885 recall@top3: 0.6615 prec@top3: 0.5208 recall@top5: 0.8490 prec@top5: 0.4375 loss_action_cls: 0.0237 2022/12/05 05:53:40 - mmengine - INFO - Epoch(train) [2][4200/4451] lr: 9.7462e-02 eta: 4:56:15 time: 0.4950 data_time: 0.0102 memory: 16785 grad_norm: 0.1110 loss: 0.0200 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7000 recall@top3: 0.7533 prec@top3: 0.5111 recall@top5: 0.9733 prec@top5: 0.4000 loss_action_cls: 0.0200 2022/12/05 05:53:50 - mmengine - INFO - Epoch(train) [2][4220/4451] lr: 9.7664e-02 eta: 4:56:05 time: 0.4938 data_time: 0.0101 memory: 16785 grad_norm: 0.1096 loss: 0.0206 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.6667 recall@top3: 0.8241 prec@top3: 0.6481 recall@top5: 0.8750 prec@top5: 0.4222 loss_action_cls: 0.0206 2022/12/05 05:54:00 - mmengine - INFO - Epoch(train) [2][4240/4451] lr: 9.7867e-02 eta: 4:55:55 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1118 loss: 0.0227 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6905 recall@top3: 0.8214 prec@top3: 0.4762 recall@top5: 0.8929 prec@top5: 0.3000 loss_action_cls: 0.0227 2022/12/05 05:54:10 - mmengine - INFO - Epoch(train) [2][4260/4451] lr: 9.8069e-02 eta: 4:55:45 time: 0.4949 data_time: 0.0101 memory: 16785 grad_norm: 0.1054 loss: 0.0223 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6228 recall@top3: 0.6842 prec@top3: 0.5263 recall@top5: 0.8772 prec@top5: 0.4000 loss_action_cls: 0.0223 2022/12/05 05:54:20 - mmengine - INFO - Epoch(train) [2][4280/4451] lr: 9.8271e-02 eta: 4:55:35 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1033 loss: 0.0209 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6275 recall@top3: 0.7059 prec@top3: 0.4706 recall@top5: 0.7059 prec@top5: 0.2824 loss_action_cls: 0.0209 2022/12/05 05:54:30 - mmengine - INFO - Epoch(train) [2][4300/4451] lr: 9.8473e-02 eta: 4:55:25 time: 0.4949 data_time: 0.0103 memory: 16785 grad_norm: 0.1110 loss: 0.0221 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7593 recall@top3: 0.9074 prec@top3: 0.6481 recall@top5: 0.9722 prec@top5: 0.4278 loss_action_cls: 0.0221 2022/12/05 05:54:40 - mmengine - INFO - Epoch(train) [2][4320/4451] lr: 9.8675e-02 eta: 4:55:15 time: 0.4949 data_time: 0.0106 memory: 16785 grad_norm: 0.1062 loss: 0.0222 recall@thr=0.5: 0.3710 prec@thr=0.5: 0.5860 recall@top3: 0.6720 prec@top3: 0.5376 recall@top5: 0.8656 prec@top5: 0.4323 loss_action_cls: 0.0222 2022/12/05 05:54:50 - mmengine - INFO - Epoch(train) [2][4340/4451] lr: 9.8878e-02 eta: 4:55:05 time: 0.4937 data_time: 0.0106 memory: 16785 grad_norm: 0.1006 loss: 0.0212 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.5530 recall@top3: 0.8182 prec@top3: 0.5455 recall@top5: 0.8788 prec@top5: 0.3636 loss_action_cls: 0.0212 2022/12/05 05:55:00 - mmengine - INFO - Epoch(train) [2][4360/4451] lr: 9.9080e-02 eta: 4:54:55 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1065 loss: 0.0249 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7059 recall@top3: 0.7451 prec@top3: 0.5686 recall@top5: 0.8873 prec@top5: 0.4000 loss_action_cls: 0.0249 2022/12/05 05:55:09 - mmengine - INFO - Epoch(train) [2][4380/4451] lr: 9.9282e-02 eta: 4:54:45 time: 0.4944 data_time: 0.0101 memory: 16785 grad_norm: 0.1065 loss: 0.0211 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7381 recall@top3: 0.8770 prec@top3: 0.6032 recall@top5: 0.9762 prec@top5: 0.4095 loss_action_cls: 0.0211 2022/12/05 05:55:19 - mmengine - INFO - Epoch(train) [2][4400/4451] lr: 9.9484e-02 eta: 4:54:35 time: 0.4941 data_time: 0.0102 memory: 16785 grad_norm: 0.1091 loss: 0.0230 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.7982 recall@top3: 0.8772 prec@top3: 0.5088 recall@top5: 0.9123 prec@top5: 0.3263 loss_action_cls: 0.0230 2022/12/05 05:55:29 - mmengine - INFO - Epoch(train) [2][4420/4451] lr: 9.9687e-02 eta: 4:54:25 time: 0.4944 data_time: 0.0099 memory: 16785 grad_norm: 0.1036 loss: 0.0229 recall@thr=0.5: 0.4861 prec@thr=0.5: 0.6458 recall@top3: 0.6806 prec@top3: 0.5278 recall@top5: 0.8750 prec@top5: 0.4333 loss_action_cls: 0.0229 2022/12/05 05:55:39 - mmengine - INFO - Epoch(train) [2][4440/4451] lr: 9.9889e-02 eta: 4:54:15 time: 0.4964 data_time: 0.0102 memory: 16785 grad_norm: 0.1072 loss: 0.0218 recall@thr=0.5: 0.5402 prec@thr=0.5: 0.6954 recall@top3: 0.7040 prec@top3: 0.6092 recall@top5: 0.9224 prec@top5: 0.4828 loss_action_cls: 0.0218 2022/12/05 05:55:44 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 05:55:44 - mmengine - INFO - Epoch(train) [2][4451/4451] lr: 1.0000e-01 eta: 4:54:09 time: 0.4916 data_time: 0.0105 memory: 16785 grad_norm: 0.1015 loss: 0.0225 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.6491 recall@top3: 0.6667 prec@top3: 0.5088 recall@top5: 0.8333 prec@top5: 0.3895 loss_action_cls: 0.0225 2022/12/05 05:55:44 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/12/05 05:55:49 - mmengine - INFO - Epoch(val) [2][ 20/6282] eta: 0:04:28 time: 0.0429 data_time: 0.0056 memory: 1088 2022/12/05 05:55:50 - mmengine - INFO - Epoch(val) [2][ 40/6282] eta: 0:04:11 time: 0.0377 data_time: 0.0019 memory: 1088 2022/12/05 05:55:51 - mmengine - INFO - Epoch(val) [2][ 60/6282] eta: 0:04:05 time: 0.0378 data_time: 0.0018 memory: 1088 2022/12/05 05:55:51 - mmengine - INFO - Epoch(val) [2][ 80/6282] eta: 0:04:02 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 05:55:52 - mmengine - INFO - Epoch(val) [2][ 100/6282] eta: 0:03:59 time: 0.0378 data_time: 0.0020 memory: 1088 2022/12/05 05:55:53 - mmengine - INFO - Epoch(val) [2][ 120/6282] eta: 0:04:08 time: 0.0479 data_time: 0.0020 memory: 1231 2022/12/05 05:55:54 - mmengine - INFO - Epoch(val) [2][ 140/6282] eta: 0:04:19 time: 0.0542 data_time: 0.0022 memory: 1231 2022/12/05 05:55:55 - mmengine - INFO - Epoch(val) [2][ 160/6282] eta: 0:04:28 time: 0.0542 data_time: 0.0026 memory: 1231 2022/12/05 05:55:56 - mmengine - INFO - Epoch(val) [2][ 180/6282] eta: 0:04:34 time: 0.0538 data_time: 0.0020 memory: 1231 2022/12/05 05:55:57 - mmengine - INFO - Epoch(val) [2][ 200/6282] eta: 0:04:37 time: 0.0528 data_time: 0.0022 memory: 1231 2022/12/05 05:55:58 - mmengine - INFO - Epoch(val) [2][ 220/6282] eta: 0:04:35 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 05:55:59 - mmengine - INFO - Epoch(val) 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eta: 0:04:35 time: 0.0482 data_time: 0.0023 memory: 1231 2022/12/05 05:56:08 - mmengine - INFO - Epoch(val) [2][ 420/6282] eta: 0:04:33 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 05:56:09 - mmengine - INFO - Epoch(val) [2][ 440/6282] eta: 0:04:30 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 05:56:09 - mmengine - INFO - Epoch(val) [2][ 460/6282] eta: 0:04:28 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 05:56:10 - mmengine - INFO - Epoch(val) [2][ 480/6282] eta: 0:04:26 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 05:56:11 - mmengine - INFO - Epoch(val) [2][ 500/6282] eta: 0:04:24 time: 0.0418 data_time: 0.0018 memory: 1122 2022/12/05 05:56:12 - mmengine - INFO - Epoch(val) [2][ 520/6282] eta: 0:04:23 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 05:56:13 - mmengine - INFO - Epoch(val) [2][ 540/6282] eta: 0:04:21 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:56:14 - mmengine - INFO - Epoch(val) [2][ 560/6282] eta: 0:04:19 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 05:56:14 - mmengine - INFO - Epoch(val) [2][ 580/6282] eta: 0:04:18 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 05:56:15 - mmengine - INFO - Epoch(val) [2][ 600/6282] eta: 0:04:16 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:56:16 - mmengine - INFO - Epoch(val) [2][ 620/6282] eta: 0:04:14 time: 0.0411 data_time: 0.0020 memory: 1113 2022/12/05 05:56:17 - mmengine - INFO - Epoch(val) [2][ 640/6282] eta: 0:04:13 time: 0.0410 data_time: 0.0021 memory: 1105 2022/12/05 05:56:18 - mmengine - INFO - Epoch(val) [2][ 660/6282] eta: 0:04:11 time: 0.0408 data_time: 0.0020 memory: 1105 2022/12/05 05:56:19 - mmengine - INFO - Epoch(val) [2][ 680/6282] eta: 0:04:10 time: 0.0413 data_time: 0.0022 memory: 1105 2022/12/05 05:56:19 - mmengine - INFO - Epoch(val) [2][ 700/6282] eta: 0:04:08 time: 0.0410 data_time: 0.0021 memory: 1105 2022/12/05 05:56:21 - mmengine - INFO - Epoch(val) [2][ 720/6282] eta: 0:04:11 time: 0.0672 data_time: 0.0183 memory: 1231 2022/12/05 05:56:23 - mmengine - INFO - Epoch(val) [2][ 740/6282] eta: 0:04:16 time: 0.0882 data_time: 0.0358 memory: 1231 2022/12/05 05:56:24 - mmengine - INFO - Epoch(val) [2][ 760/6282] eta: 0:04:19 time: 0.0726 data_time: 0.0209 memory: 1231 2022/12/05 05:56:25 - mmengine - INFO - Epoch(val) [2][ 780/6282] eta: 0:04:20 time: 0.0605 data_time: 0.0093 memory: 1231 2022/12/05 05:56:26 - mmengine - INFO - Epoch(val) [2][ 800/6282] eta: 0:04:20 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 05:56:27 - mmengine - INFO - Epoch(val) [2][ 820/6282] eta: 0:04:19 time: 0.0469 data_time: 0.0018 memory: 1231 2022/12/05 05:56:28 - mmengine - INFO - Epoch(val) [2][ 840/6282] eta: 0:04:17 time: 0.0417 data_time: 0.0018 memory: 1113 2022/12/05 05:56:29 - mmengine - INFO - Epoch(val) [2][ 860/6282] eta: 0:04:16 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 05:56:30 - mmengine - INFO - Epoch(val) [2][ 880/6282] eta: 0:04:14 time: 0.0425 data_time: 0.0028 memory: 1113 2022/12/05 05:56:31 - mmengine - INFO - Epoch(val) [2][ 900/6282] eta: 0:04:13 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 05:56:31 - mmengine - INFO - Epoch(val) [2][ 920/6282] eta: 0:04:11 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 05:56:32 - mmengine - INFO - Epoch(val) [2][ 940/6282] eta: 0:04:09 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 05:56:33 - mmengine - INFO - Epoch(val) [2][ 960/6282] eta: 0:04:07 time: 0.0374 data_time: 0.0018 memory: 1088 2022/12/05 05:56:34 - mmengine - INFO - Epoch(val) [2][ 980/6282] eta: 0:04:05 time: 0.0373 data_time: 0.0017 memory: 1088 2022/12/05 05:56:34 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:04:03 time: 0.0375 data_time: 0.0018 memory: 1088 2022/12/05 05:56:35 - mmengine - INFO - Epoch(val) [2][1020/6282] eta: 0:04:02 time: 0.0377 data_time: 0.0017 memory: 1113 2022/12/05 05:56:36 - mmengine - INFO - Epoch(val) [2][1040/6282] eta: 0:04:00 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:56:37 - mmengine - INFO - Epoch(val) [2][1060/6282] eta: 0:03:59 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 05:56:38 - mmengine - INFO - Epoch(val) [2][1080/6282] eta: 0:03:58 time: 0.0418 data_time: 0.0018 memory: 1113 2022/12/05 05:56:38 - mmengine - INFO - Epoch(val) [2][1100/6282] eta: 0:03:56 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 05:56:39 - mmengine - INFO - Epoch(val) [2][1120/6282] eta: 0:03:55 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 05:56:40 - mmengine - INFO - Epoch(val) [2][1140/6282] eta: 0:03:54 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 05:56:41 - mmengine - INFO - Epoch(val) [2][1160/6282] eta: 0:03:53 time: 0.0428 data_time: 0.0020 memory: 1113 2022/12/05 05:56:42 - mmengine - INFO - Epoch(val) [2][1180/6282] eta: 0:03:51 time: 0.0429 data_time: 0.0023 memory: 1113 2022/12/05 05:56:43 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:03:50 time: 0.0427 data_time: 0.0022 memory: 1113 2022/12/05 05:56:44 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:03:49 time: 0.0429 data_time: 0.0022 memory: 1113 2022/12/05 05:56:45 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:03:51 time: 0.0780 data_time: 0.0256 memory: 1231 2022/12/05 05:56:47 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:03:52 time: 0.0760 data_time: 0.0237 memory: 1231 2022/12/05 05:56:48 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:03:55 time: 0.0888 data_time: 0.0360 memory: 1231 2022/12/05 05:56:50 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:03:56 time: 0.0783 data_time: 0.0260 memory: 1231 2022/12/05 05:56:52 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:03:58 time: 0.0871 data_time: 0.0343 memory: 1231 2022/12/05 05:56:53 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:03:59 time: 0.0767 data_time: 0.0250 memory: 1231 2022/12/05 05:56:55 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:04:02 time: 0.0976 data_time: 0.0455 memory: 1231 2022/12/05 05:56:57 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:04:03 time: 0.0723 data_time: 0.0204 memory: 1231 2022/12/05 05:56:58 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:04:02 time: 0.0544 data_time: 0.0030 memory: 1231 2022/12/05 05:56:59 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:04:01 time: 0.0533 data_time: 0.0019 memory: 1231 2022/12/05 05:57:00 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:04:00 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 05:57:01 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:04:00 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 05:57:02 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:03:59 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 05:57:03 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:03:58 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 05:57:04 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:03:57 time: 0.0544 data_time: 0.0024 memory: 1404 2022/12/05 05:57:06 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:03:58 time: 0.0681 data_time: 0.0025 memory: 1404 2022/12/05 05:57:07 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:03:58 time: 0.0682 data_time: 0.0021 memory: 1404 2022/12/05 05:57:08 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:03:58 time: 0.0685 data_time: 0.0027 memory: 1404 2022/12/05 05:57:10 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:03:58 time: 0.0678 data_time: 0.0025 memory: 1404 2022/12/05 05:57:11 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:03:58 time: 0.0678 data_time: 0.0024 memory: 1404 2022/12/05 05:57:12 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:03:57 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 05:57:13 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:03:56 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 05:57:14 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:03:55 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 05:57:15 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:03:54 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 05:57:16 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:03:53 time: 0.0543 data_time: 0.0022 memory: 1231 2022/12/05 05:57:17 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:03:52 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 05:57:19 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:03:51 time: 0.0539 data_time: 0.0024 memory: 1231 2022/12/05 05:57:20 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:03:51 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 05:57:21 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:03:50 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 05:57:22 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:03:49 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 05:57:23 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:03:48 time: 0.0547 data_time: 0.0025 memory: 1231 2022/12/05 05:57:24 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:03:48 time: 0.0775 data_time: 0.0254 memory: 1231 2022/12/05 05:57:26 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:03:48 time: 0.0756 data_time: 0.0238 memory: 1231 2022/12/05 05:57:28 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:03:48 time: 0.0785 data_time: 0.0257 memory: 1231 2022/12/05 05:57:29 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:03:47 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 05:57:30 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:03:46 time: 0.0509 data_time: 0.0024 memory: 1231 2022/12/05 05:57:30 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:03:45 time: 0.0423 data_time: 0.0022 memory: 1122 2022/12/05 05:57:31 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:03:43 time: 0.0421 data_time: 0.0022 memory: 1122 2022/12/05 05:57:32 - mmengine - INFO - Epoch(val) [2][2000/6282] eta: 0:03:42 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 05:57:33 - mmengine - INFO - Epoch(val) [2][2020/6282] eta: 0:03:40 time: 0.0418 data_time: 0.0019 memory: 1122 2022/12/05 05:57:34 - mmengine - INFO - Epoch(val) [2][2040/6282] eta: 0:03:39 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 05:57:35 - mmengine - INFO - Epoch(val) [2][2060/6282] eta: 0:03:38 time: 0.0418 data_time: 0.0019 memory: 1122 2022/12/05 05:57:36 - mmengine - INFO - Epoch(val) [2][2080/6282] eta: 0:03:36 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 05:57:36 - mmengine - INFO - Epoch(val) [2][2100/6282] eta: 0:03:35 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 05:57:37 - mmengine - INFO - Epoch(val) [2][2120/6282] eta: 0:03:33 time: 0.0419 data_time: 0.0020 memory: 1122 2022/12/05 05:57:38 - mmengine - INFO - Epoch(val) [2][2140/6282] eta: 0:03:32 time: 0.0422 data_time: 0.0022 memory: 1122 2022/12/05 05:57:39 - mmengine - INFO - Epoch(val) [2][2160/6282] eta: 0:03:31 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 05:57:40 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:03:29 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 05:57:41 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:03:28 time: 0.0414 data_time: 0.0018 memory: 1113 2022/12/05 05:57:41 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:03:26 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 05:57:42 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:03:25 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 05:57:43 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:03:24 time: 0.0422 data_time: 0.0019 memory: 1122 2022/12/05 05:57:44 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:03:22 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 05:57:45 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:03:21 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 05:57:46 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:03:20 time: 0.0418 data_time: 0.0018 memory: 1122 2022/12/05 05:57:46 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:03:18 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 05:57:47 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:03:17 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:57:48 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:03:16 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 05:57:49 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:03:15 time: 0.0418 data_time: 0.0021 memory: 1113 2022/12/05 05:57:50 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:03:13 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 05:57:51 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:03:12 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 05:57:52 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:03:11 time: 0.0533 data_time: 0.0024 memory: 1231 2022/12/05 05:57:53 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:03:10 time: 0.0547 data_time: 0.0026 memory: 1231 2022/12/05 05:57:54 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:03:09 time: 0.0538 data_time: 0.0021 memory: 1231 2022/12/05 05:57:55 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:03:09 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 05:57:56 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:03:08 time: 0.0573 data_time: 0.0047 memory: 1231 2022/12/05 05:57:58 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:03:08 time: 0.0792 data_time: 0.0272 memory: 1231 2022/12/05 05:57:59 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:03:08 time: 0.0863 data_time: 0.0343 memory: 1231 2022/12/05 05:58:01 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:03:07 time: 0.0827 data_time: 0.0309 memory: 1231 2022/12/05 05:58:03 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:03:07 time: 0.0780 data_time: 0.0263 memory: 1231 2022/12/05 05:58:04 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:03:06 time: 0.0539 data_time: 0.0025 memory: 1231 2022/12/05 05:58:05 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:03:06 time: 0.0660 data_time: 0.0023 memory: 1388 2022/12/05 05:58:06 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:03:05 time: 0.0663 data_time: 0.0025 memory: 1388 2022/12/05 05:58:08 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:03:04 time: 0.0664 data_time: 0.0025 memory: 1388 2022/12/05 05:58:09 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:03:04 time: 0.0663 data_time: 0.0025 memory: 1388 2022/12/05 05:58:10 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:03:03 time: 0.0626 data_time: 0.0022 memory: 1388 2022/12/05 05:58:11 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:03:02 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 05:58:12 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:03:00 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 05:58:13 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:02:59 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 05:58:14 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:02:58 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 05:58:14 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:02:57 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 05:58:15 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:02:56 time: 0.0508 data_time: 0.0023 memory: 1231 2022/12/05 05:58:17 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:02:55 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 05:58:18 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:02:54 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 05:58:19 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:02:52 time: 0.0477 data_time: 0.0019 memory: 1231 2022/12/05 05:58:20 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:02:51 time: 0.0461 data_time: 0.0021 memory: 1170 2022/12/05 05:58:20 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:02:50 time: 0.0457 data_time: 0.0019 memory: 1170 2022/12/05 05:58:21 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:02:49 time: 0.0460 data_time: 0.0020 memory: 1170 2022/12/05 05:58:22 - mmengine - INFO 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eta: 0:02:31 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 05:58:39 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:02:30 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 05:58:40 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:02:29 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 05:58:41 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:02:28 time: 0.0500 data_time: 0.0021 memory: 1231 2022/12/05 05:58:42 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:02:27 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 05:58:43 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:02:26 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 05:58:44 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:02:25 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 05:58:45 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:02:23 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:58:46 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:02:22 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 05:58:46 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:02:21 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 05:58:47 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:02:20 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:58:48 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:02:19 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 05:58:49 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:02:18 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 05:58:50 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:02:16 time: 0.0445 data_time: 0.0019 memory: 1197 2022/12/05 05:58:51 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:02:15 time: 0.0475 data_time: 0.0020 memory: 1197 2022/12/05 05:58:52 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:02:14 time: 0.0478 data_time: 0.0020 memory: 1197 2022/12/05 05:58:53 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:02:13 time: 0.0478 data_time: 0.0020 memory: 1197 2022/12/05 05:58:54 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:02:12 time: 0.0477 data_time: 0.0020 memory: 1197 2022/12/05 05:58:55 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:02:11 time: 0.0508 data_time: 0.0024 memory: 1231 2022/12/05 05:58:56 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:02:10 time: 0.0552 data_time: 0.0035 memory: 1231 2022/12/05 05:58:57 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:02:09 time: 0.0545 data_time: 0.0025 memory: 1231 2022/12/05 05:58:58 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:02:08 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 05:58:59 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:02:07 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 05:59:00 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:02:06 time: 0.0547 data_time: 0.0025 memory: 1231 2022/12/05 05:59:01 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:02:05 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 05:59:02 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:02:04 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 05:59:03 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:02:04 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 05:59:05 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:02:03 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 05:59:06 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:02:02 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 05:59:07 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:02:01 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 05:59:08 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:02:00 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 05:59:09 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:01:59 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 05:59:10 - mmengine - INFO - Epoch(val) [2][3960/6282] eta: 0:01:58 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 05:59:11 - mmengine - INFO - Epoch(val) [2][3980/6282] eta: 0:01:57 time: 0.0538 data_time: 0.0024 memory: 1231 2022/12/05 05:59:12 - mmengine - INFO - Epoch(val) [2][4000/6282] eta: 0:01:56 time: 0.0532 data_time: 0.0021 memory: 1231 2022/12/05 05:59:13 - mmengine - INFO - Epoch(val) [2][4020/6282] eta: 0:01:55 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 05:59:14 - mmengine - INFO - Epoch(val) [2][4040/6282] eta: 0:01:54 time: 0.0549 data_time: 0.0020 memory: 1388 2022/12/05 05:59:16 - mmengine - INFO - Epoch(val) [2][4060/6282] eta: 0:01:53 time: 0.0662 data_time: 0.0024 memory: 1388 2022/12/05 05:59:17 - mmengine - INFO - Epoch(val) [2][4080/6282] eta: 0:01:52 time: 0.0661 data_time: 0.0022 memory: 1388 2022/12/05 05:59:18 - mmengine - INFO - Epoch(val) [2][4100/6282] eta: 0:01:51 time: 0.0664 data_time: 0.0023 memory: 1388 2022/12/05 05:59:20 - mmengine - INFO - Epoch(val) [2][4120/6282] eta: 0:01:50 time: 0.0663 data_time: 0.0025 memory: 1388 2022/12/05 05:59:21 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:01:49 time: 0.0566 data_time: 0.0022 memory: 1388 2022/12/05 05:59:21 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:01:48 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:59:22 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:01:47 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 05:59:23 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:01:46 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 05:59:24 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:01:45 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 05:59:25 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:01:44 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 05:59:26 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:01:43 time: 0.0416 data_time: 0.0019 memory: 1111 2022/12/05 05:59:27 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:01:42 time: 0.0431 data_time: 0.0021 memory: 1111 2022/12/05 05:59:27 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:01:40 time: 0.0415 data_time: 0.0019 memory: 1111 2022/12/05 05:59:28 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:01:39 time: 0.0417 data_time: 0.0020 memory: 1111 2022/12/05 05:59:29 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:01:38 time: 0.0416 data_time: 0.0018 memory: 1111 2022/12/05 05:59:30 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:01:37 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 05:59:31 - mmengine - INFO - Epoch(val) [2][4380/6282] eta: 0:01:36 time: 0.0534 data_time: 0.0022 memory: 1231 2022/12/05 05:59:32 - mmengine - INFO - Epoch(val) [2][4400/6282] eta: 0:01:35 time: 0.0534 data_time: 0.0022 memory: 1231 2022/12/05 05:59:33 - mmengine - INFO - Epoch(val) [2][4420/6282] eta: 0:01:34 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 05:59:34 - mmengine - INFO - Epoch(val) [2][4440/6282] eta: 0:01:33 time: 0.0537 data_time: 0.0020 memory: 1245 2022/12/05 05:59:35 - mmengine - INFO - Epoch(val) [2][4460/6282] eta: 0:01:32 time: 0.0542 data_time: 0.0022 memory: 1245 2022/12/05 05:59:37 - mmengine - INFO - Epoch(val) [2][4480/6282] eta: 0:01:31 time: 0.0540 data_time: 0.0020 memory: 1245 2022/12/05 05:59:38 - mmengine - INFO - Epoch(val) [2][4500/6282] eta: 0:01:30 time: 0.0541 data_time: 0.0021 memory: 1245 2022/12/05 05:59:39 - mmengine - INFO - Epoch(val) [2][4520/6282] eta: 0:01:29 time: 0.0512 data_time: 0.0021 memory: 1245 2022/12/05 05:59:39 - mmengine - INFO - Epoch(val) [2][4540/6282] eta: 0:01:28 time: 0.0422 data_time: 0.0022 memory: 1122 2022/12/05 05:59:40 - mmengine - INFO - Epoch(val) [2][4560/6282] eta: 0:01:27 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 05:59:41 - mmengine - INFO - Epoch(val) [2][4580/6282] eta: 0:01:26 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 05:59:42 - mmengine - INFO - Epoch(val) [2][4600/6282] eta: 0:01:25 time: 0.0426 data_time: 0.0026 memory: 1122 2022/12/05 05:59:43 - mmengine - INFO - Epoch(val) 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eta: 0:01:16 time: 0.0458 data_time: 0.0019 memory: 1164 2022/12/05 05:59:52 - mmengine - INFO - Epoch(val) [2][4800/6282] eta: 0:01:15 time: 0.0458 data_time: 0.0021 memory: 1164 2022/12/05 05:59:53 - mmengine - INFO - Epoch(val) [2][4820/6282] eta: 0:01:14 time: 0.0480 data_time: 0.0020 memory: 1231 2022/12/05 05:59:54 - mmengine - INFO - Epoch(val) [2][4840/6282] eta: 0:01:13 time: 0.0531 data_time: 0.0020 memory: 1231 2022/12/05 05:59:55 - mmengine - INFO - Epoch(val) [2][4860/6282] eta: 0:01:12 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 05:59:56 - mmengine - INFO - Epoch(val) [2][4880/6282] eta: 0:01:11 time: 0.0531 data_time: 0.0020 memory: 1231 2022/12/05 05:59:58 - mmengine - INFO - Epoch(val) [2][4900/6282] eta: 0:01:10 time: 0.0532 data_time: 0.0020 memory: 1231 2022/12/05 05:59:59 - mmengine - INFO - Epoch(val) [2][4920/6282] eta: 0:01:09 time: 0.0534 data_time: 0.0020 memory: 1237 2022/12/05 06:00:00 - mmengine - INFO - Epoch(val) [2][4940/6282] eta: 0:01:08 time: 0.0535 data_time: 0.0021 memory: 1237 2022/12/05 06:00:01 - mmengine - INFO - Epoch(val) [2][4960/6282] eta: 0:01:07 time: 0.0537 data_time: 0.0021 memory: 1237 2022/12/05 06:00:02 - mmengine - INFO - Epoch(val) [2][4980/6282] eta: 0:01:06 time: 0.0542 data_time: 0.0027 memory: 1237 2022/12/05 06:00:03 - mmengine - INFO - Epoch(val) [2][5000/6282] eta: 0:01:05 time: 0.0534 data_time: 0.0020 memory: 1237 2022/12/05 06:00:04 - mmengine - INFO - Epoch(val) [2][5020/6282] eta: 0:01:04 time: 0.0474 data_time: 0.0020 memory: 1237 2022/12/05 06:00:05 - mmengine - INFO - Epoch(val) [2][5040/6282] eta: 0:01:03 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 06:00:06 - mmengine - INFO - Epoch(val) [2][5060/6282] eta: 0:01:02 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 06:00:06 - mmengine - INFO - Epoch(val) [2][5080/6282] eta: 0:01:01 time: 0.0418 data_time: 0.0019 memory: 1122 2022/12/05 06:00:07 - mmengine - INFO - Epoch(val) [2][5100/6282] eta: 0:00:59 time: 0.0418 data_time: 0.0019 memory: 1122 2022/12/05 06:00:08 - mmengine - INFO - Epoch(val) [2][5120/6282] eta: 0:00:58 time: 0.0417 data_time: 0.0019 memory: 1122 2022/12/05 06:00:09 - mmengine - INFO - Epoch(val) [2][5140/6282] eta: 0:00:57 time: 0.0421 data_time: 0.0019 memory: 1113 2022/12/05 06:00:10 - mmengine - INFO - Epoch(val) [2][5160/6282] eta: 0:00:56 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:00:11 - mmengine - INFO - Epoch(val) [2][5180/6282] eta: 0:00:55 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 06:00:11 - mmengine - INFO - Epoch(val) [2][5200/6282] eta: 0:00:54 time: 0.0421 data_time: 0.0022 memory: 1113 2022/12/05 06:00:12 - mmengine - INFO - Epoch(val) [2][5220/6282] eta: 0:00:53 time: 0.0414 data_time: 0.0018 memory: 1113 2022/12/05 06:00:13 - mmengine - INFO - Epoch(val) [2][5240/6282] eta: 0:00:52 time: 0.0423 data_time: 0.0020 memory: 1111 2022/12/05 06:00:14 - mmengine - INFO - Epoch(val) [2][5260/6282] eta: 0:00:51 time: 0.0418 data_time: 0.0020 memory: 1111 2022/12/05 06:00:15 - mmengine - INFO - Epoch(val) [2][5280/6282] eta: 0:00:50 time: 0.0417 data_time: 0.0019 memory: 1111 2022/12/05 06:00:16 - mmengine - INFO - Epoch(val) [2][5300/6282] eta: 0:00:49 time: 0.0419 data_time: 0.0022 memory: 1111 2022/12/05 06:00:16 - mmengine - INFO - Epoch(val) [2][5320/6282] eta: 0:00:48 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:00:17 - mmengine - INFO - Epoch(val) [2][5340/6282] eta: 0:00:47 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 06:00:18 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:00:46 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 06:00:19 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:00:45 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:00:20 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:00:44 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:00:21 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:00:43 time: 0.0416 data_time: 0.0018 memory: 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06:00:28 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:00:34 time: 0.0444 data_time: 0.0019 memory: 1155 2022/12/05 06:00:29 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:00:33 time: 0.0426 data_time: 0.0018 memory: 1155 2022/12/05 06:00:30 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:32 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:00:31 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:31 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 06:00:32 - mmengine - INFO - Epoch(val) [2][5680/6282] eta: 0:00:30 time: 0.0428 data_time: 0.0018 memory: 1113 2022/12/05 06:00:33 - mmengine - INFO - Epoch(val) [2][5700/6282] eta: 0:00:29 time: 0.0415 data_time: 0.0019 memory: 1113 2022/12/05 06:00:33 - mmengine - INFO - Epoch(val) [2][5720/6282] eta: 0:00:27 time: 0.0441 data_time: 0.0021 memory: 1181 2022/12/05 06:00:34 - mmengine - INFO - Epoch(val) [2][5740/6282] eta: 0:00:26 time: 0.0469 data_time: 0.0019 memory: 1181 2022/12/05 06:00:35 - mmengine - INFO - Epoch(val) [2][5760/6282] eta: 0:00:25 time: 0.0465 data_time: 0.0019 memory: 1181 2022/12/05 06:00:36 - mmengine - INFO - Epoch(val) [2][5780/6282] eta: 0:00:24 time: 0.0468 data_time: 0.0020 memory: 1181 2022/12/05 06:00:37 - mmengine - INFO - Epoch(val) [2][5800/6282] eta: 0:00:23 time: 0.0467 data_time: 0.0020 memory: 1181 2022/12/05 06:00:38 - mmengine - INFO - Epoch(val) [2][5820/6282] eta: 0:00:22 time: 0.0458 data_time: 0.0020 memory: 1181 2022/12/05 06:00:39 - mmengine - INFO - Epoch(val) [2][5840/6282] eta: 0:00:21 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 06:00:40 - mmengine - INFO - Epoch(val) [2][5860/6282] eta: 0:00:20 time: 0.0445 data_time: 0.0020 memory: 1155 2022/12/05 06:00:41 - mmengine - INFO - Epoch(val) [2][5880/6282] eta: 0:00:19 time: 0.0445 data_time: 0.0019 memory: 1155 2022/12/05 06:00:42 - mmengine - INFO - Epoch(val) [2][5900/6282] eta: 0:00:18 time: 0.0448 data_time: 0.0020 memory: 1155 2022/12/05 06:00:43 - mmengine - INFO - Epoch(val) [2][5920/6282] eta: 0:00:17 time: 0.0430 data_time: 0.0020 memory: 1155 2022/12/05 06:00:43 - mmengine - INFO - Epoch(val) [2][5940/6282] eta: 0:00:16 time: 0.0415 data_time: 0.0019 memory: 1113 2022/12/05 06:00:44 - mmengine - INFO - Epoch(val) [2][5960/6282] eta: 0:00:15 time: 0.0413 data_time: 0.0018 memory: 1113 2022/12/05 06:00:45 - mmengine - INFO - Epoch(val) [2][5980/6282] eta: 0:00:14 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 06:00:46 - mmengine - INFO - Epoch(val) [2][6000/6282] eta: 0:00:13 time: 0.0503 data_time: 0.0020 memory: 1231 2022/12/05 06:00:47 - mmengine - INFO - Epoch(val) [2][6020/6282] eta: 0:00:12 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 06:00:48 - mmengine - INFO - Epoch(val) [2][6040/6282] eta: 0:00:12 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 06:00:49 - mmengine - INFO - Epoch(val) [2][6060/6282] eta: 0:00:11 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 06:00:50 - mmengine - INFO - Epoch(val) [2][6080/6282] eta: 0:00:10 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:00:51 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:09 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 06:00:53 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:08 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 06:00:54 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:07 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 06:00:55 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:06 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 06:00:56 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:05 time: 0.0538 data_time: 0.0025 memory: 1231 2022/12/05 06:00:57 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:04 time: 0.0530 data_time: 0.0018 memory: 1231 2022/12/05 06:00:58 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:03 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 06:00:59 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:02 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 06:01:00 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:01 time: 0.0530 data_time: 0.0019 memory: 1231 2022/12/05 06:01:01 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.0531 data_time: 0.0018 memory: 1231 2022/12/05 06:06:22 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2844 2022/12/05 06:06:22 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_1.pth is removed 2022/12/05 06:06:26 - mmengine - INFO - The best checkpoint with 0.2844 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2022/12/05 06:06:37 - mmengine - INFO - Epoch(train) [3][ 20/4451] lr: 1.0000e-01 eta: 4:54:04 time: 0.5538 data_time: 0.0586 memory: 16785 grad_norm: 0.1050 loss: 0.0214 recall@thr=0.5: 0.5400 prec@thr=0.5: 0.6867 recall@top3: 0.7567 prec@top3: 0.5600 recall@top5: 0.8867 prec@top5: 0.3920 loss_action_cls: 0.0214 2022/12/05 06:06:47 - mmengine - INFO - Epoch(train) [3][ 40/4451] lr: 1.0000e-01 eta: 4:53:54 time: 0.4966 data_time: 0.0114 memory: 16785 grad_norm: 0.1101 loss: 0.0208 recall@thr=0.5: 0.3246 prec@thr=0.5: 0.4211 recall@top3: 0.8158 prec@top3: 0.5439 recall@top5: 0.9035 prec@top5: 0.3789 loss_action_cls: 0.0208 2022/12/05 06:06:57 - mmengine - INFO - Epoch(train) [3][ 60/4451] lr: 9.9999e-02 eta: 4:53:44 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1018 loss: 0.0192 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8177 recall@top3: 0.8542 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0192 2022/12/05 06:07:07 - mmengine - INFO - Epoch(train) [3][ 80/4451] lr: 9.9999e-02 eta: 4:53:34 time: 0.4947 data_time: 0.0099 memory: 16785 grad_norm: 0.1073 loss: 0.0207 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.6574 recall@top3: 0.6991 prec@top3: 0.5370 recall@top5: 0.8935 prec@top5: 0.4444 loss_action_cls: 0.0207 2022/12/05 06:07:15 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 06:07:16 - mmengine - INFO - Epoch(train) [3][ 100/4451] lr: 9.9998e-02 eta: 4:53:24 time: 0.4941 data_time: 0.0100 memory: 16785 grad_norm: 0.1188 loss: 0.0199 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.4386 recall@top3: 0.9211 prec@top3: 0.4386 recall@top5: 1.0000 prec@top5: 0.3053 loss_action_cls: 0.0199 2022/12/05 06:07:26 - mmengine - INFO - Epoch(train) [3][ 120/4451] lr: 9.9997e-02 eta: 4:53:14 time: 0.4938 data_time: 0.0102 memory: 16785 grad_norm: 0.1127 loss: 0.0207 recall@thr=0.5: 0.4062 prec@thr=0.5: 0.6667 recall@top3: 0.8646 prec@top3: 0.7292 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0207 2022/12/05 06:07:36 - mmengine - INFO - Epoch(train) [3][ 140/4451] lr: 9.9996e-02 eta: 4:53:04 time: 0.4947 data_time: 0.0101 memory: 16785 grad_norm: 0.1262 loss: 0.0227 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.4722 recall@top3: 0.8426 prec@top3: 0.5185 recall@top5: 0.9259 prec@top5: 0.3444 loss_action_cls: 0.0227 2022/12/05 06:07:46 - mmengine - INFO - Epoch(train) [3][ 160/4451] lr: 9.9995e-02 eta: 4:52:54 time: 0.4938 data_time: 0.0101 memory: 16785 grad_norm: 0.1061 loss: 0.0214 recall@thr=0.5: 0.4601 prec@thr=0.5: 0.6558 recall@top3: 0.8370 prec@top3: 0.6522 recall@top5: 0.9275 prec@top5: 0.4435 loss_action_cls: 0.0214 2022/12/05 06:07:56 - mmengine - INFO - Epoch(train) [3][ 180/4451] lr: 9.9994e-02 eta: 4:52:44 time: 0.4959 data_time: 0.0102 memory: 16785 grad_norm: 0.1078 loss: 0.0211 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8095 recall@top3: 0.8333 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.3619 loss_action_cls: 0.0211 2022/12/05 06:08:06 - mmengine - INFO - Epoch(train) [3][ 200/4451] lr: 9.9992e-02 eta: 4:52:34 time: 0.4946 data_time: 0.0099 memory: 16785 grad_norm: 0.1037 loss: 0.0216 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5370 recall@top3: 0.7747 prec@top3: 0.5679 recall@top5: 0.9475 prec@top5: 0.4296 loss_action_cls: 0.0216 2022/12/05 06:08:16 - mmengine - INFO - Epoch(train) [3][ 220/4451] lr: 9.9991e-02 eta: 4:52:24 time: 0.4936 data_time: 0.0100 memory: 16785 grad_norm: 0.1119 loss: 0.0212 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.7212 recall@top3: 0.7386 prec@top3: 0.6212 recall@top5: 0.9470 prec@top5: 0.5182 loss_action_cls: 0.0212 2022/12/05 06:08:26 - mmengine - INFO - Epoch(train) [3][ 240/4451] lr: 9.9989e-02 eta: 4:52:14 time: 0.4948 data_time: 0.0101 memory: 16785 grad_norm: 0.1092 loss: 0.0196 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6228 recall@top3: 0.7544 prec@top3: 0.5263 recall@top5: 0.9211 prec@top5: 0.3895 loss_action_cls: 0.0196 2022/12/05 06:08:36 - mmengine - INFO - Epoch(train) [3][ 260/4451] lr: 9.9987e-02 eta: 4:52:04 time: 0.4941 data_time: 0.0102 memory: 16785 grad_norm: 0.1137 loss: 0.0217 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6583 recall@top3: 0.8167 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.3800 loss_action_cls: 0.0217 2022/12/05 06:08:45 - mmengine - INFO - Epoch(train) [3][ 280/4451] lr: 9.9985e-02 eta: 4:51:54 time: 0.4945 data_time: 0.0102 memory: 16785 grad_norm: 0.1049 loss: 0.0203 recall@thr=0.5: 0.4130 prec@thr=0.5: 0.3841 recall@top3: 0.6014 prec@top3: 0.3768 recall@top5: 0.7899 prec@top5: 0.2783 loss_action_cls: 0.0203 2022/12/05 06:08:55 - mmengine - INFO - Epoch(train) [3][ 300/4451] lr: 9.9983e-02 eta: 4:51:44 time: 0.4941 data_time: 0.0103 memory: 16785 grad_norm: 0.1150 loss: 0.0218 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.7778 recall@top3: 0.9008 prec@top3: 0.6349 recall@top5: 0.9325 prec@top5: 0.4000 loss_action_cls: 0.0218 2022/12/05 06:09:05 - mmengine - INFO - Epoch(train) [3][ 320/4451] lr: 9.9980e-02 eta: 4:51:34 time: 0.4947 data_time: 0.0102 memory: 16785 grad_norm: 0.1093 loss: 0.0220 recall@thr=0.5: 0.8800 prec@thr=0.5: 0.7367 recall@top3: 0.8800 prec@top3: 0.5600 recall@top5: 0.9467 prec@top5: 0.3760 loss_action_cls: 0.0220 2022/12/05 06:09:15 - mmengine - INFO - Epoch(train) [3][ 340/4451] lr: 9.9978e-02 eta: 4:51:24 time: 0.4948 data_time: 0.0101 memory: 16785 grad_norm: 0.1112 loss: 0.0214 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6429 recall@top3: 0.9048 prec@top3: 0.5000 recall@top5: 0.9405 prec@top5: 0.3143 loss_action_cls: 0.0214 2022/12/05 06:09:25 - mmengine - INFO - Epoch(train) [3][ 360/4451] lr: 9.9975e-02 eta: 4:51:14 time: 0.4955 data_time: 0.0099 memory: 16785 grad_norm: 0.1032 loss: 0.0203 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.7440 recall@top3: 0.9524 prec@top3: 0.6429 recall@top5: 0.9762 prec@top5: 0.4000 loss_action_cls: 0.0203 2022/12/05 06:09:35 - mmengine - INFO - Epoch(train) [3][ 380/4451] lr: 9.9972e-02 eta: 4:51:04 time: 0.4937 data_time: 0.0101 memory: 16785 grad_norm: 0.1072 loss: 0.0198 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8571 recall@top3: 0.8730 prec@top3: 0.6032 recall@top5: 0.9206 prec@top5: 0.3810 loss_action_cls: 0.0198 2022/12/05 06:09:45 - mmengine - INFO - Epoch(train) [3][ 400/4451] lr: 9.9969e-02 eta: 4:50:54 time: 0.4943 data_time: 0.0101 memory: 16785 grad_norm: 0.1077 loss: 0.0207 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6019 recall@top3: 0.8519 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0207 2022/12/05 06:09:55 - mmengine - INFO - Epoch(train) [3][ 420/4451] lr: 9.9966e-02 eta: 4:50:44 time: 0.4943 data_time: 0.0102 memory: 16785 grad_norm: 0.1031 loss: 0.0207 recall@thr=0.5: 0.7186 prec@thr=0.5: 0.8529 recall@top3: 0.8451 prec@top3: 0.7451 recall@top5: 0.9275 prec@top5: 0.5176 loss_action_cls: 0.0207 2022/12/05 06:10:05 - mmengine - INFO - Epoch(train) [3][ 440/4451] lr: 9.9963e-02 eta: 4:50:33 time: 0.4938 data_time: 0.0102 memory: 16785 grad_norm: 0.1022 loss: 0.0205 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5357 recall@top3: 0.6905 prec@top3: 0.3333 recall@top5: 0.7857 prec@top5: 0.2286 loss_action_cls: 0.0205 2022/12/05 06:10:14 - mmengine - INFO - Epoch(train) [3][ 460/4451] lr: 9.9959e-02 eta: 4:50:23 time: 0.4935 data_time: 0.0102 memory: 16785 grad_norm: 0.1092 loss: 0.0188 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7692 recall@top3: 0.7308 prec@top3: 0.7692 recall@top5: 0.9038 prec@top5: 0.5692 loss_action_cls: 0.0188 2022/12/05 06:10:24 - mmengine - INFO - Epoch(train) [3][ 480/4451] lr: 9.9955e-02 eta: 4:50:13 time: 0.4956 data_time: 0.0102 memory: 16785 grad_norm: 0.1086 loss: 0.0218 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.7857 recall@top3: 0.8492 prec@top3: 0.5714 recall@top5: 0.8770 prec@top5: 0.3619 loss_action_cls: 0.0218 2022/12/05 06:10:34 - mmengine - INFO - Epoch(train) [3][ 500/4451] lr: 9.9952e-02 eta: 4:50:03 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1081 loss: 0.0209 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.8509 recall@top3: 0.8377 prec@top3: 0.7018 recall@top5: 0.9298 prec@top5: 0.4737 loss_action_cls: 0.0209 2022/12/05 06:10:44 - mmengine - INFO - Epoch(train) [3][ 520/4451] lr: 9.9948e-02 eta: 4:49:53 time: 0.4950 data_time: 0.0108 memory: 16785 grad_norm: 0.1122 loss: 0.0203 recall@thr=0.5: 0.7282 prec@thr=0.5: 0.7949 recall@top3: 0.7962 prec@top3: 0.6923 recall@top5: 0.8981 prec@top5: 0.4923 loss_action_cls: 0.0203 2022/12/05 06:10:54 - mmengine - INFO - Epoch(train) [3][ 540/4451] lr: 9.9943e-02 eta: 4:49:44 time: 0.4957 data_time: 0.0121 memory: 16785 grad_norm: 0.1027 loss: 0.0194 recall@thr=0.5: 0.6605 prec@thr=0.5: 0.6790 recall@top3: 0.6728 prec@top3: 0.5309 recall@top5: 0.8457 prec@top5: 0.4074 loss_action_cls: 0.0194 2022/12/05 06:11:04 - mmengine - INFO - Epoch(train) [3][ 560/4451] lr: 9.9939e-02 eta: 4:49:34 time: 0.4947 data_time: 0.0103 memory: 16785 grad_norm: 0.1029 loss: 0.0208 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8125 recall@top3: 0.8021 prec@top3: 0.6875 recall@top5: 0.9427 prec@top5: 0.5000 loss_action_cls: 0.0208 2022/12/05 06:11:14 - mmengine - INFO - Epoch(train) [3][ 580/4451] lr: 9.9935e-02 eta: 4:49:24 time: 0.4946 data_time: 0.0101 memory: 16785 grad_norm: 0.1034 loss: 0.0217 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.7500 recall@top3: 0.8431 prec@top3: 0.5294 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0217 2022/12/05 06:11:24 - mmengine - INFO - Epoch(train) [3][ 600/4451] lr: 9.9930e-02 eta: 4:49:14 time: 0.4939 data_time: 0.0101 memory: 16785 grad_norm: 0.1080 loss: 0.0216 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6765 recall@top3: 0.7745 prec@top3: 0.4902 recall@top5: 0.8235 prec@top5: 0.3294 loss_action_cls: 0.0216 2022/12/05 06:11:34 - mmengine - INFO - Epoch(train) [3][ 620/4451] lr: 9.9925e-02 eta: 4:49:04 time: 0.4948 data_time: 0.0100 memory: 16785 grad_norm: 0.1057 loss: 0.0222 recall@thr=0.5: 0.6217 prec@thr=0.5: 0.8696 recall@top3: 0.7681 prec@top3: 0.6667 recall@top5: 0.9217 prec@top5: 0.5043 loss_action_cls: 0.0222 2022/12/05 06:11:44 - mmengine - INFO - Epoch(train) [3][ 640/4451] lr: 9.9921e-02 eta: 4:48:53 time: 0.4940 data_time: 0.0107 memory: 16785 grad_norm: 0.1040 loss: 0.0209 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7255 recall@top3: 0.7892 prec@top3: 0.5490 recall@top5: 0.9559 prec@top5: 0.4000 loss_action_cls: 0.0209 2022/12/05 06:11:53 - mmengine - INFO - Epoch(train) [3][ 660/4451] lr: 9.9916e-02 eta: 4:48:43 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.1135 loss: 0.0214 recall@thr=0.5: 0.4091 prec@thr=0.5: 0.5227 recall@top3: 0.6212 prec@top3: 0.4545 recall@top5: 0.8864 prec@top5: 0.3545 loss_action_cls: 0.0214 2022/12/05 06:12:03 - mmengine - INFO - Epoch(train) [3][ 680/4451] lr: 9.9910e-02 eta: 4:48:34 time: 0.4952 data_time: 0.0104 memory: 16785 grad_norm: 0.1038 loss: 0.0212 recall@thr=0.5: 0.7472 prec@thr=0.5: 0.8750 recall@top3: 0.8375 prec@top3: 0.7778 recall@top5: 0.9535 prec@top5: 0.5667 loss_action_cls: 0.0212 2022/12/05 06:12:13 - mmengine - INFO - Epoch(train) [3][ 700/4451] lr: 9.9905e-02 eta: 4:48:24 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1049 loss: 0.0198 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7267 recall@top3: 0.7933 prec@top3: 0.5867 recall@top5: 0.9733 prec@top5: 0.4560 loss_action_cls: 0.0198 2022/12/05 06:12:23 - mmengine - INFO - Epoch(train) [3][ 720/4451] lr: 9.9899e-02 eta: 4:48:14 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.1115 loss: 0.0217 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7500 recall@top3: 0.8929 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0217 2022/12/05 06:12:33 - mmengine - INFO - Epoch(train) [3][ 740/4451] lr: 9.9894e-02 eta: 4:48:04 time: 0.4954 data_time: 0.0104 memory: 16785 grad_norm: 0.1038 loss: 0.0221 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9375 recall@top3: 0.8750 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0221 2022/12/05 06:12:43 - mmengine - INFO - Epoch(train) [3][ 760/4451] lr: 9.9888e-02 eta: 4:47:54 time: 0.4940 data_time: 0.0104 memory: 16785 grad_norm: 0.1021 loss: 0.0212 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.8571 recall@top3: 0.8452 prec@top3: 0.6984 recall@top5: 0.9762 prec@top5: 0.4952 loss_action_cls: 0.0212 2022/12/05 06:12:53 - mmengine - INFO - Epoch(train) [3][ 780/4451] lr: 9.9882e-02 eta: 4:47:44 time: 0.4952 data_time: 0.0105 memory: 16785 grad_norm: 0.1046 loss: 0.0205 recall@thr=0.5: 0.6051 prec@thr=0.5: 0.6957 recall@top3: 0.7790 prec@top3: 0.5507 recall@top5: 0.9348 prec@top5: 0.4174 loss_action_cls: 0.0205 2022/12/05 06:13:03 - mmengine - INFO - Epoch(train) [3][ 800/4451] lr: 9.9876e-02 eta: 4:47:34 time: 0.4949 data_time: 0.0103 memory: 16785 grad_norm: 0.0975 loss: 0.0196 recall@thr=0.5: 0.6938 prec@thr=0.5: 0.6625 recall@top3: 0.6833 prec@top3: 0.5625 recall@top5: 0.8417 prec@top5: 0.4375 loss_action_cls: 0.0196 2022/12/05 06:13:13 - mmengine - INFO - Epoch(train) [3][ 820/4451] lr: 9.9870e-02 eta: 4:47:24 time: 0.4959 data_time: 0.0112 memory: 16785 grad_norm: 0.1069 loss: 0.0228 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.8431 recall@top3: 0.8333 prec@top3: 0.7059 recall@top5: 0.9510 prec@top5: 0.4941 loss_action_cls: 0.0228 2022/12/05 06:13:23 - mmengine - INFO - Epoch(train) [3][ 840/4451] lr: 9.9863e-02 eta: 4:47:14 time: 0.4951 data_time: 0.0104 memory: 16785 grad_norm: 0.1021 loss: 0.0208 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6389 recall@top3: 0.6667 prec@top3: 0.4444 recall@top5: 0.8194 prec@top5: 0.3500 loss_action_cls: 0.0208 2022/12/05 06:13:32 - mmengine - INFO - Epoch(train) [3][ 860/4451] lr: 9.9856e-02 eta: 4:47:04 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1046 loss: 0.0204 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.5978 recall@top3: 0.8261 prec@top3: 0.4928 recall@top5: 1.0000 prec@top5: 0.3478 loss_action_cls: 0.0204 2022/12/05 06:13:42 - mmengine - INFO - Epoch(train) [3][ 880/4451] lr: 9.9850e-02 eta: 4:46:54 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1036 loss: 0.0211 recall@thr=0.5: 0.6179 prec@thr=0.5: 0.7963 recall@top3: 0.7111 prec@top3: 0.6543 recall@top5: 0.8741 prec@top5: 0.5037 loss_action_cls: 0.0211 2022/12/05 06:13:52 - mmengine - INFO - Epoch(train) [3][ 900/4451] lr: 9.9843e-02 eta: 4:46:44 time: 0.4948 data_time: 0.0101 memory: 16785 grad_norm: 0.1058 loss: 0.0202 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.7024 recall@top3: 0.7440 prec@top3: 0.5714 recall@top5: 0.9107 prec@top5: 0.4143 loss_action_cls: 0.0202 2022/12/05 06:14:02 - mmengine - INFO - Epoch(train) [3][ 920/4451] lr: 9.9836e-02 eta: 4:46:34 time: 0.4940 data_time: 0.0103 memory: 16785 grad_norm: 0.1061 loss: 0.0191 recall@thr=0.5: 0.8350 prec@thr=0.5: 0.9317 recall@top3: 0.8392 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5900 loss_action_cls: 0.0191 2022/12/05 06:14:12 - mmengine - INFO - Epoch(train) [3][ 940/4451] lr: 9.9829e-02 eta: 4:46:24 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.1054 loss: 0.0219 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6952 recall@top3: 0.7214 prec@top3: 0.6000 recall@top5: 0.8476 prec@top5: 0.4400 loss_action_cls: 0.0219 2022/12/05 06:14:22 - mmengine - INFO - Epoch(train) [3][ 960/4451] lr: 9.9821e-02 eta: 4:46:14 time: 0.4939 data_time: 0.0104 memory: 16785 grad_norm: 0.1056 loss: 0.0196 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5238 recall@top3: 0.7540 prec@top3: 0.4762 recall@top5: 0.8333 prec@top5: 0.3429 loss_action_cls: 0.0196 2022/12/05 06:14:32 - mmengine - INFO - Epoch(train) [3][ 980/4451] lr: 9.9814e-02 eta: 4:46:04 time: 0.4951 data_time: 0.0097 memory: 16785 grad_norm: 0.1000 loss: 0.0201 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6190 recall@top3: 0.6786 prec@top3: 0.5397 recall@top5: 0.9206 prec@top5: 0.4381 loss_action_cls: 0.0201 2022/12/05 06:14:42 - mmengine - INFO - Epoch(train) [3][1000/4451] lr: 9.9806e-02 eta: 4:45:54 time: 0.4955 data_time: 0.0104 memory: 16785 grad_norm: 0.1067 loss: 0.0212 recall@thr=0.5: 0.5207 prec@thr=0.5: 0.7367 recall@top3: 0.6553 prec@top3: 0.6400 recall@top5: 0.8653 prec@top5: 0.5280 loss_action_cls: 0.0212 2022/12/05 06:14:52 - mmengine - INFO - Epoch(train) [3][1020/4451] lr: 9.9798e-02 eta: 4:45:44 time: 0.4950 data_time: 0.0106 memory: 16785 grad_norm: 0.1060 loss: 0.0220 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7157 recall@top3: 0.7059 prec@top3: 0.5098 recall@top5: 0.8039 prec@top5: 0.3647 loss_action_cls: 0.0220 2022/12/05 06:15:01 - mmengine - INFO - Epoch(train) [3][1040/4451] lr: 9.9790e-02 eta: 4:45:34 time: 0.4946 data_time: 0.0106 memory: 16785 grad_norm: 0.1141 loss: 0.0221 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.8842 recall@top3: 0.7667 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.6000 loss_action_cls: 0.0221 2022/12/05 06:15:11 - mmengine - INFO - Epoch(train) [3][1060/4451] lr: 9.9782e-02 eta: 4:45:24 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.0974 loss: 0.0210 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.6894 recall@top3: 0.7008 prec@top3: 0.6061 recall@top5: 0.8409 prec@top5: 0.4455 loss_action_cls: 0.0210 2022/12/05 06:15:21 - mmengine - INFO - Epoch(train) [3][1080/4451] lr: 9.9774e-02 eta: 4:45:14 time: 0.4947 data_time: 0.0103 memory: 16785 grad_norm: 0.1063 loss: 0.0199 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7467 recall@top3: 0.7625 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4600 loss_action_cls: 0.0199 2022/12/05 06:15:30 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 06:15:31 - mmengine - INFO - Epoch(train) [3][1100/4451] lr: 9.9765e-02 eta: 4:45:04 time: 0.4956 data_time: 0.0105 memory: 16785 grad_norm: 0.1092 loss: 0.0226 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6562 recall@top3: 0.7812 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4875 loss_action_cls: 0.0226 2022/12/05 06:15:41 - mmengine - INFO - Epoch(train) [3][1120/4451] lr: 9.9757e-02 eta: 4:44:54 time: 0.4952 data_time: 0.0106 memory: 16785 grad_norm: 0.1067 loss: 0.0200 recall@thr=0.5: 0.4870 prec@thr=0.5: 0.6667 recall@top3: 0.7448 prec@top3: 0.6354 recall@top5: 0.8281 prec@top5: 0.4312 loss_action_cls: 0.0200 2022/12/05 06:15:51 - mmengine - INFO - Epoch(train) [3][1140/4451] lr: 9.9748e-02 eta: 4:44:44 time: 0.4957 data_time: 0.0113 memory: 16785 grad_norm: 0.1117 loss: 0.0210 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.7853 recall@top3: 0.8529 prec@top3: 0.6863 recall@top5: 0.9559 prec@top5: 0.4941 loss_action_cls: 0.0210 2022/12/05 06:16:01 - mmengine - INFO - Epoch(train) [3][1160/4451] lr: 9.9739e-02 eta: 4:44:34 time: 0.4951 data_time: 0.0107 memory: 16785 grad_norm: 0.1034 loss: 0.0214 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.4667 recall@top3: 0.8444 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.3733 loss_action_cls: 0.0214 2022/12/05 06:16:11 - mmengine - INFO - Epoch(train) [3][1180/4451] lr: 9.9730e-02 eta: 4:44:24 time: 0.4944 data_time: 0.0103 memory: 16785 grad_norm: 0.1021 loss: 0.0204 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6381 recall@top3: 0.6786 prec@top3: 0.5119 recall@top5: 0.9226 prec@top5: 0.4143 loss_action_cls: 0.0204 2022/12/05 06:16:21 - mmengine - INFO - Epoch(train) [3][1200/4451] lr: 9.9721e-02 eta: 4:44:14 time: 0.4951 data_time: 0.0103 memory: 16785 grad_norm: 0.1045 loss: 0.0215 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7153 recall@top3: 0.7708 prec@top3: 0.5278 recall@top5: 0.8611 prec@top5: 0.3583 loss_action_cls: 0.0215 2022/12/05 06:16:31 - mmengine - INFO - Epoch(train) [3][1220/4451] lr: 9.9711e-02 eta: 4:44:04 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1113 loss: 0.0187 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7738 recall@top3: 0.7619 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.4286 loss_action_cls: 0.0187 2022/12/05 06:16:40 - mmengine - INFO - Epoch(train) [3][1240/4451] lr: 9.9702e-02 eta: 4:43:54 time: 0.4937 data_time: 0.0103 memory: 16785 grad_norm: 0.1135 loss: 0.0210 recall@thr=0.5: 0.5967 prec@thr=0.5: 0.6967 recall@top3: 0.7500 prec@top3: 0.6533 recall@top5: 0.8833 prec@top5: 0.4640 loss_action_cls: 0.0210 2022/12/05 06:16:50 - mmengine - INFO - Epoch(train) [3][1260/4451] lr: 9.9692e-02 eta: 4:43:44 time: 0.4948 data_time: 0.0100 memory: 16785 grad_norm: 0.1030 loss: 0.0198 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7745 recall@top3: 0.8529 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0198 2022/12/05 06:17:00 - mmengine - INFO - Epoch(train) [3][1280/4451] lr: 9.9682e-02 eta: 4:43:34 time: 0.4941 data_time: 0.0104 memory: 16785 grad_norm: 0.1056 loss: 0.0197 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7824 recall@top3: 0.8380 prec@top3: 0.7222 recall@top5: 0.9213 prec@top5: 0.4778 loss_action_cls: 0.0197 2022/12/05 06:17:10 - mmengine - INFO - Epoch(train) [3][1300/4451] lr: 9.9672e-02 eta: 4:43:24 time: 0.4940 data_time: 0.0103 memory: 16785 grad_norm: 0.1024 loss: 0.0214 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.7971 recall@top3: 0.8043 prec@top3: 0.7246 recall@top5: 0.8841 prec@top5: 0.4870 loss_action_cls: 0.0214 2022/12/05 06:17:20 - mmengine - INFO - Epoch(train) [3][1320/4451] lr: 9.9662e-02 eta: 4:43:14 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1050 loss: 0.0199 recall@thr=0.5: 0.6298 prec@thr=0.5: 0.9298 recall@top3: 0.7175 prec@top3: 0.7368 recall@top5: 0.9789 prec@top5: 0.6316 loss_action_cls: 0.0199 2022/12/05 06:17:30 - mmengine - INFO - Epoch(train) [3][1340/4451] lr: 9.9652e-02 eta: 4:43:04 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1133 loss: 0.0214 recall@thr=0.5: 0.5145 prec@thr=0.5: 0.7072 recall@top3: 0.6630 prec@top3: 0.6522 recall@top5: 0.9167 prec@top5: 0.5478 loss_action_cls: 0.0214 2022/12/05 06:17:40 - mmengine - INFO - Epoch(train) [3][1360/4451] lr: 9.9641e-02 eta: 4:42:54 time: 0.4944 data_time: 0.0103 memory: 16785 grad_norm: 0.1018 loss: 0.0223 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8778 recall@top3: 0.8333 prec@top3: 0.6444 recall@top5: 0.9000 prec@top5: 0.4267 loss_action_cls: 0.0223 2022/12/05 06:17:50 - mmengine - INFO - Epoch(train) [3][1380/4451] lr: 9.9630e-02 eta: 4:42:44 time: 0.4964 data_time: 0.0105 memory: 16785 grad_norm: 0.0990 loss: 0.0218 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.8462 recall@top3: 0.8846 prec@top3: 0.6026 recall@top5: 1.0000 prec@top5: 0.4231 loss_action_cls: 0.0218 2022/12/05 06:18:00 - mmengine - INFO - Epoch(train) [3][1400/4451] lr: 9.9620e-02 eta: 4:42:34 time: 0.4950 data_time: 0.0106 memory: 16785 grad_norm: 0.1051 loss: 0.0200 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.7255 recall@top3: 0.8824 prec@top3: 0.5882 recall@top5: 0.8824 prec@top5: 0.3529 loss_action_cls: 0.0200 2022/12/05 06:18:10 - mmengine - INFO - Epoch(train) [3][1420/4451] lr: 9.9609e-02 eta: 4:42:25 time: 0.4952 data_time: 0.0104 memory: 16785 grad_norm: 0.1034 loss: 0.0201 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.5531 recall@top3: 0.7188 prec@top3: 0.5000 recall@top5: 0.8958 prec@top5: 0.3750 loss_action_cls: 0.0201 2022/12/05 06:18:19 - mmengine - INFO - Epoch(train) [3][1440/4451] lr: 9.9598e-02 eta: 4:42:15 time: 0.4944 data_time: 0.0104 memory: 16785 grad_norm: 0.1011 loss: 0.0192 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8000 recall@top3: 0.8444 prec@top3: 0.7111 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0192 2022/12/05 06:18:29 - mmengine - INFO - Epoch(train) [3][1460/4451] lr: 9.9586e-02 eta: 4:42:05 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.0956 loss: 0.0216 recall@thr=0.5: 0.5324 prec@thr=0.5: 0.5139 recall@top3: 0.6296 prec@top3: 0.4074 recall@top5: 0.8380 prec@top5: 0.3222 loss_action_cls: 0.0216 2022/12/05 06:18:39 - mmengine - INFO - Epoch(train) [3][1480/4451] lr: 9.9575e-02 eta: 4:41:55 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1123 loss: 0.0220 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6111 recall@top3: 0.6833 prec@top3: 0.5333 recall@top5: 0.8389 prec@top5: 0.4000 loss_action_cls: 0.0220 2022/12/05 06:18:49 - mmengine - INFO - Epoch(train) [3][1500/4451] lr: 9.9563e-02 eta: 4:41:45 time: 0.4946 data_time: 0.0099 memory: 16785 grad_norm: 0.1051 loss: 0.0201 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.5833 recall@top3: 0.6228 prec@top3: 0.5088 recall@top5: 0.9737 prec@top5: 0.4526 loss_action_cls: 0.0201 2022/12/05 06:18:59 - mmengine - INFO - Epoch(train) [3][1520/4451] lr: 9.9552e-02 eta: 4:41:35 time: 0.4944 data_time: 0.0103 memory: 16785 grad_norm: 0.1019 loss: 0.0202 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7167 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 0.9333 prec@top5: 0.4100 loss_action_cls: 0.0202 2022/12/05 06:19:09 - mmengine - INFO - Epoch(train) [3][1540/4451] lr: 9.9540e-02 eta: 4:41:25 time: 0.4956 data_time: 0.0101 memory: 16785 grad_norm: 0.1182 loss: 0.0228 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.4790 recall@top3: 0.6914 prec@top3: 0.4815 recall@top5: 0.7593 prec@top5: 0.3259 loss_action_cls: 0.0228 2022/12/05 06:19:19 - mmengine - INFO - Epoch(train) [3][1560/4451] lr: 9.9528e-02 eta: 4:41:15 time: 0.4940 data_time: 0.0102 memory: 16785 grad_norm: 0.1094 loss: 0.0206 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.8246 recall@top3: 0.8509 prec@top3: 0.7193 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0206 2022/12/05 06:19:29 - mmengine - INFO - Epoch(train) [3][1580/4451] lr: 9.9516e-02 eta: 4:41:05 time: 0.4947 data_time: 0.0100 memory: 16785 grad_norm: 0.1110 loss: 0.0215 recall@thr=0.5: 0.4542 prec@thr=0.5: 0.6250 recall@top3: 0.6917 prec@top3: 0.5000 recall@top5: 0.9667 prec@top5: 0.4100 loss_action_cls: 0.0215 2022/12/05 06:19:39 - mmengine - INFO - Epoch(train) [3][1600/4451] lr: 9.9503e-02 eta: 4:40:55 time: 0.4941 data_time: 0.0104 memory: 16785 grad_norm: 0.1072 loss: 0.0208 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.6574 recall@top3: 0.6944 prec@top3: 0.5926 recall@top5: 0.8796 prec@top5: 0.4667 loss_action_cls: 0.0208 2022/12/05 06:19:48 - mmengine - INFO - Epoch(train) [3][1620/4451] lr: 9.9491e-02 eta: 4:40:45 time: 0.4948 data_time: 0.0102 memory: 16785 grad_norm: 0.1088 loss: 0.0226 recall@thr=0.5: 0.6898 prec@thr=0.5: 0.5880 recall@top3: 0.8056 prec@top3: 0.5741 recall@top5: 0.8981 prec@top5: 0.4111 loss_action_cls: 0.0226 2022/12/05 06:19:58 - mmengine - INFO - Epoch(train) [3][1640/4451] lr: 9.9478e-02 eta: 4:40:35 time: 0.4945 data_time: 0.0104 memory: 16785 grad_norm: 0.0972 loss: 0.0214 recall@thr=0.5: 0.6431 prec@thr=0.5: 0.6528 recall@top3: 0.8417 prec@top3: 0.5972 recall@top5: 0.9417 prec@top5: 0.4167 loss_action_cls: 0.0214 2022/12/05 06:20:08 - mmengine - INFO - Epoch(train) [3][1660/4451] lr: 9.9465e-02 eta: 4:40:25 time: 0.4943 data_time: 0.0103 memory: 16785 grad_norm: 0.1096 loss: 0.0218 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.9778 recall@top3: 0.7667 prec@top3: 0.8222 recall@top5: 0.9389 prec@top5: 0.6133 loss_action_cls: 0.0218 2022/12/05 06:20:18 - mmengine - INFO - Epoch(train) [3][1680/4451] lr: 9.9452e-02 eta: 4:40:15 time: 0.4947 data_time: 0.0104 memory: 16785 grad_norm: 0.1099 loss: 0.0215 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5500 recall@top3: 0.6583 prec@top3: 0.4333 recall@top5: 0.8625 prec@top5: 0.3500 loss_action_cls: 0.0215 2022/12/05 06:20:28 - mmengine - INFO - Epoch(train) [3][1700/4451] lr: 9.9439e-02 eta: 4:40:05 time: 0.4944 data_time: 0.0107 memory: 16785 grad_norm: 0.1053 loss: 0.0206 recall@thr=0.5: 0.5967 prec@thr=0.5: 0.6733 recall@top3: 0.7267 prec@top3: 0.6267 recall@top5: 0.8300 prec@top5: 0.4400 loss_action_cls: 0.0206 2022/12/05 06:20:38 - mmengine - INFO - Epoch(train) [3][1720/4451] lr: 9.9426e-02 eta: 4:39:55 time: 0.4943 data_time: 0.0103 memory: 16785 grad_norm: 0.1022 loss: 0.0225 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7262 recall@top3: 0.8810 prec@top3: 0.5714 recall@top5: 0.9286 prec@top5: 0.3714 loss_action_cls: 0.0225 2022/12/05 06:20:48 - mmengine - INFO - Epoch(train) [3][1740/4451] lr: 9.9413e-02 eta: 4:39:45 time: 0.4941 data_time: 0.0104 memory: 16785 grad_norm: 0.1058 loss: 0.0207 recall@thr=0.5: 0.5352 prec@thr=0.5: 0.6944 recall@top3: 0.6778 prec@top3: 0.6111 recall@top5: 0.8333 prec@top5: 0.4778 loss_action_cls: 0.0207 2022/12/05 06:20:58 - mmengine - INFO - Epoch(train) [3][1760/4451] lr: 9.9399e-02 eta: 4:39:35 time: 0.4946 data_time: 0.0103 memory: 16785 grad_norm: 0.1115 loss: 0.0226 recall@thr=0.5: 0.5536 prec@thr=0.5: 0.5625 recall@top3: 0.7679 prec@top3: 0.5595 recall@top5: 0.9107 prec@top5: 0.4000 loss_action_cls: 0.0226 2022/12/05 06:21:08 - mmengine - INFO - Epoch(train) [3][1780/4451] lr: 9.9385e-02 eta: 4:39:25 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.0979 loss: 0.0210 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.6812 recall@top3: 0.6522 prec@top3: 0.5652 recall@top5: 0.8188 prec@top5: 0.4522 loss_action_cls: 0.0210 2022/12/05 06:21:17 - mmengine - INFO - Epoch(train) [3][1800/4451] lr: 9.9372e-02 eta: 4:39:15 time: 0.4937 data_time: 0.0102 memory: 16785 grad_norm: 0.1051 loss: 0.0193 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7222 recall@top3: 0.8819 prec@top3: 0.6806 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0193 2022/12/05 06:21:27 - mmengine - INFO - Epoch(train) [3][1820/4451] lr: 9.9357e-02 eta: 4:39:05 time: 0.4939 data_time: 0.0104 memory: 16785 grad_norm: 0.1047 loss: 0.0204 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.6667 recall@top3: 0.7083 prec@top3: 0.5185 recall@top5: 0.8426 prec@top5: 0.3778 loss_action_cls: 0.0204 2022/12/05 06:21:37 - mmengine - INFO - Epoch(train) [3][1840/4451] lr: 9.9343e-02 eta: 4:38:55 time: 0.4945 data_time: 0.0105 memory: 16785 grad_norm: 0.1013 loss: 0.0202 recall@thr=0.5: 0.8433 prec@thr=0.5: 0.8808 recall@top3: 0.8367 prec@top3: 0.6167 recall@top5: 0.9650 prec@top5: 0.4600 loss_action_cls: 0.0202 2022/12/05 06:21:47 - mmengine - INFO - Epoch(train) [3][1860/4451] lr: 9.9329e-02 eta: 4:38:45 time: 0.4954 data_time: 0.0104 memory: 16785 grad_norm: 0.1216 loss: 0.0230 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.4778 recall@top3: 0.7556 prec@top3: 0.4000 recall@top5: 0.8667 prec@top5: 0.2933 loss_action_cls: 0.0230 2022/12/05 06:21:57 - mmengine - INFO - Epoch(train) [3][1880/4451] lr: 9.9315e-02 eta: 4:38:35 time: 0.4948 data_time: 0.0102 memory: 16785 grad_norm: 0.0985 loss: 0.0207 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.7292 recall@top3: 0.8021 prec@top3: 0.5417 recall@top5: 0.9688 prec@top5: 0.4250 loss_action_cls: 0.0207 2022/12/05 06:22:07 - mmengine - INFO - Epoch(train) [3][1900/4451] lr: 9.9300e-02 eta: 4:38:25 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.1025 loss: 0.0203 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7941 recall@top3: 0.8431 prec@top3: 0.5882 recall@top5: 0.9510 prec@top5: 0.4118 loss_action_cls: 0.0203 2022/12/05 06:22:17 - mmengine - INFO - Epoch(train) [3][1920/4451] lr: 9.9285e-02 eta: 4:38:15 time: 0.4943 data_time: 0.0103 memory: 16785 grad_norm: 0.1095 loss: 0.0219 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.5595 recall@top3: 0.8135 prec@top3: 0.5714 recall@top5: 0.8571 prec@top5: 0.3714 loss_action_cls: 0.0219 2022/12/05 06:22:27 - mmengine - INFO - Epoch(train) [3][1940/4451] lr: 9.9270e-02 eta: 4:38:05 time: 0.4950 data_time: 0.0104 memory: 16785 grad_norm: 0.1044 loss: 0.0206 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.4444 recall@top3: 0.6759 prec@top3: 0.3704 recall@top5: 0.9444 prec@top5: 0.3222 loss_action_cls: 0.0206 2022/12/05 06:22:37 - mmengine - INFO - Epoch(train) [3][1960/4451] lr: 9.9255e-02 eta: 4:37:55 time: 0.4944 data_time: 0.0103 memory: 16785 grad_norm: 0.1000 loss: 0.0187 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7367 recall@top3: 0.6933 prec@top3: 0.7733 recall@top5: 0.9200 prec@top5: 0.6240 loss_action_cls: 0.0187 2022/12/05 06:22:46 - mmengine - INFO - Epoch(train) [3][1980/4451] lr: 9.9240e-02 eta: 4:37:45 time: 0.4946 data_time: 0.0103 memory: 16785 grad_norm: 0.1006 loss: 0.0186 recall@thr=0.5: 0.6300 prec@thr=0.5: 0.6333 recall@top3: 0.7567 prec@top3: 0.5867 recall@top5: 0.8267 prec@top5: 0.3920 loss_action_cls: 0.0186 2022/12/05 06:22:56 - mmengine - INFO - Epoch(train) [3][2000/4451] lr: 9.9224e-02 eta: 4:37:35 time: 0.4955 data_time: 0.0104 memory: 16785 grad_norm: 0.1060 loss: 0.0210 recall@thr=0.5: 0.2460 prec@thr=0.5: 0.5238 recall@top3: 0.6587 prec@top3: 0.5079 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0210 2022/12/05 06:23:06 - mmengine - INFO - Epoch(train) [3][2020/4451] lr: 9.9209e-02 eta: 4:37:25 time: 0.4948 data_time: 0.0105 memory: 16785 grad_norm: 0.1073 loss: 0.0207 recall@thr=0.5: 0.7355 prec@thr=0.5: 0.9022 recall@top3: 0.8007 prec@top3: 0.7391 recall@top5: 0.9710 prec@top5: 0.5478 loss_action_cls: 0.0207 2022/12/05 06:23:16 - mmengine - INFO - Epoch(train) [3][2040/4451] lr: 9.9193e-02 eta: 4:37:15 time: 0.4942 data_time: 0.0104 memory: 16785 grad_norm: 0.1018 loss: 0.0182 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6786 recall@top3: 0.9048 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0182 2022/12/05 06:23:26 - mmengine - INFO - Epoch(train) [3][2060/4451] lr: 9.9177e-02 eta: 4:37:05 time: 0.4953 data_time: 0.0103 memory: 16785 grad_norm: 0.1071 loss: 0.0216 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.6061 recall@top3: 0.7803 prec@top3: 0.5606 recall@top5: 0.9091 prec@top5: 0.4091 loss_action_cls: 0.0216 2022/12/05 06:23:36 - mmengine - INFO - Epoch(train) [3][2080/4451] lr: 9.9161e-02 eta: 4:36:55 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.1030 loss: 0.0186 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8246 recall@top3: 0.8246 prec@top3: 0.6842 recall@top5: 0.9386 prec@top5: 0.4737 loss_action_cls: 0.0186 2022/12/05 06:23:45 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 06:23:46 - mmengine - INFO - Epoch(train) [3][2100/4451] lr: 9.9145e-02 eta: 4:36:45 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1024 loss: 0.0219 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7778 recall@top3: 0.6852 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0219 2022/12/05 06:23:56 - mmengine - INFO - Epoch(train) [3][2120/4451] lr: 9.9129e-02 eta: 4:36:35 time: 0.4941 data_time: 0.0103 memory: 16785 grad_norm: 0.1018 loss: 0.0204 recall@thr=0.5: 0.7351 prec@thr=0.5: 0.8158 recall@top3: 0.8754 prec@top3: 0.7193 recall@top5: 0.9175 prec@top5: 0.4737 loss_action_cls: 0.0204 2022/12/05 06:24:06 - mmengine - INFO - Epoch(train) [3][2140/4451] lr: 9.9112e-02 eta: 4:36:25 time: 0.4943 data_time: 0.0104 memory: 16785 grad_norm: 0.1086 loss: 0.0201 recall@thr=0.5: 0.6015 prec@thr=0.5: 0.6667 recall@top3: 0.7227 prec@top3: 0.5758 recall@top5: 0.9530 prec@top5: 0.4727 loss_action_cls: 0.0201 2022/12/05 06:24:16 - mmengine - INFO - Epoch(train) [3][2160/4451] lr: 9.9096e-02 eta: 4:36:15 time: 0.4946 data_time: 0.0106 memory: 16785 grad_norm: 0.1107 loss: 0.0208 recall@thr=0.5: 0.5892 prec@thr=0.5: 0.8065 recall@top3: 0.7855 prec@top3: 0.6774 recall@top5: 0.8548 prec@top5: 0.4581 loss_action_cls: 0.0208 2022/12/05 06:24:25 - mmengine - INFO - Epoch(train) [3][2180/4451] lr: 9.9079e-02 eta: 4:36:05 time: 0.4945 data_time: 0.0098 memory: 16785 grad_norm: 0.0990 loss: 0.0186 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.7045 recall@top3: 0.8636 prec@top3: 0.6818 recall@top5: 0.9242 prec@top5: 0.4545 loss_action_cls: 0.0186 2022/12/05 06:24:35 - mmengine - INFO - Epoch(train) [3][2200/4451] lr: 9.9062e-02 eta: 4:35:55 time: 0.4942 data_time: 0.0102 memory: 16785 grad_norm: 0.1089 loss: 0.0206 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8437 recall@top3: 0.8646 prec@top3: 0.7917 recall@top5: 0.9167 prec@top5: 0.5125 loss_action_cls: 0.0206 2022/12/05 06:24:45 - mmengine - INFO - Epoch(train) [3][2220/4451] lr: 9.9045e-02 eta: 4:35:45 time: 0.4948 data_time: 0.0110 memory: 16785 grad_norm: 0.1100 loss: 0.0213 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.5196 recall@top3: 0.8039 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0213 2022/12/05 06:24:55 - mmengine - INFO - Epoch(train) [3][2240/4451] lr: 9.9028e-02 eta: 4:35:35 time: 0.4952 data_time: 0.0103 memory: 16785 grad_norm: 0.1066 loss: 0.0213 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.5909 recall@top3: 0.7955 prec@top3: 0.5152 recall@top5: 0.9621 prec@top5: 0.3727 loss_action_cls: 0.0213 2022/12/05 06:25:05 - mmengine - INFO - Epoch(train) [3][2260/4451] lr: 9.9010e-02 eta: 4:35:26 time: 0.4942 data_time: 0.0105 memory: 16785 grad_norm: 0.0974 loss: 0.0200 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8667 recall@top3: 0.8500 prec@top3: 0.4889 recall@top5: 1.0000 prec@top5: 0.3467 loss_action_cls: 0.0200 2022/12/05 06:25:15 - mmengine - INFO - Epoch(train) [3][2280/4451] lr: 9.8993e-02 eta: 4:35:16 time: 0.4960 data_time: 0.0102 memory: 16785 grad_norm: 0.1058 loss: 0.0213 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7857 recall@top3: 0.8810 prec@top3: 0.5000 recall@top5: 0.9405 prec@top5: 0.3286 loss_action_cls: 0.0213 2022/12/05 06:25:25 - mmengine - INFO - Epoch(train) [3][2300/4451] lr: 9.8975e-02 eta: 4:35:06 time: 0.4948 data_time: 0.0102 memory: 16785 grad_norm: 0.1065 loss: 0.0178 recall@thr=0.5: 0.4757 prec@thr=0.5: 0.6389 recall@top3: 0.7361 prec@top3: 0.5972 recall@top5: 0.8993 prec@top5: 0.4250 loss_action_cls: 0.0178 2022/12/05 06:25:35 - mmengine - INFO - Epoch(train) [3][2320/4451] lr: 9.8957e-02 eta: 4:34:56 time: 0.4946 data_time: 0.0102 memory: 16785 grad_norm: 0.1038 loss: 0.0210 recall@thr=0.5: 0.7392 prec@thr=0.5: 0.7715 recall@top3: 0.8844 prec@top3: 0.7204 recall@top5: 0.9489 prec@top5: 0.4645 loss_action_cls: 0.0210 2022/12/05 06:25:45 - mmengine - INFO - Epoch(train) [3][2340/4451] lr: 9.8939e-02 eta: 4:34:46 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.1015 loss: 0.0198 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.7895 recall@top3: 0.7719 prec@top3: 0.4561 recall@top5: 0.8860 prec@top5: 0.3263 loss_action_cls: 0.0198 2022/12/05 06:25:54 - mmengine - INFO - Epoch(train) [3][2360/4451] lr: 9.8921e-02 eta: 4:34:36 time: 0.4947 data_time: 0.0102 memory: 16785 grad_norm: 0.1012 loss: 0.0192 recall@thr=0.5: 0.3208 prec@thr=0.5: 0.5583 recall@top3: 0.4833 prec@top3: 0.4000 recall@top5: 0.8458 prec@top5: 0.4000 loss_action_cls: 0.0192 2022/12/05 06:26:04 - mmengine - INFO - Epoch(train) [3][2380/4451] lr: 9.8903e-02 eta: 4:34:26 time: 0.4957 data_time: 0.0104 memory: 16785 grad_norm: 0.1095 loss: 0.0206 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.6204 recall@top3: 0.7315 prec@top3: 0.4630 recall@top5: 0.9722 prec@top5: 0.3444 loss_action_cls: 0.0206 2022/12/05 06:26:14 - mmengine - INFO - Epoch(train) [3][2400/4451] lr: 9.8884e-02 eta: 4:34:16 time: 0.4939 data_time: 0.0104 memory: 16785 grad_norm: 0.1096 loss: 0.0215 recall@thr=0.5: 0.6325 prec@thr=0.5: 0.6525 recall@top3: 0.6942 prec@top3: 0.5000 recall@top5: 0.8842 prec@top5: 0.4100 loss_action_cls: 0.0215 2022/12/05 06:26:24 - mmengine - INFO - Epoch(train) [3][2420/4451] lr: 9.8866e-02 eta: 4:34:06 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1169 loss: 0.0223 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.6771 recall@top3: 0.6745 prec@top3: 0.6146 recall@top5: 0.8490 prec@top5: 0.4625 loss_action_cls: 0.0223 2022/12/05 06:26:34 - mmengine - INFO - Epoch(train) [3][2440/4451] lr: 9.8847e-02 eta: 4:33:56 time: 0.4952 data_time: 0.0104 memory: 16785 grad_norm: 0.0988 loss: 0.0177 recall@thr=0.5: 0.8413 prec@thr=0.5: 0.9365 recall@top3: 0.8413 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0177 2022/12/05 06:26:44 - mmengine - INFO - Epoch(train) [3][2460/4451] lr: 9.8828e-02 eta: 4:33:46 time: 0.4957 data_time: 0.0105 memory: 16785 grad_norm: 0.1063 loss: 0.0206 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6979 recall@top3: 0.6927 prec@top3: 0.5625 recall@top5: 0.8698 prec@top5: 0.3875 loss_action_cls: 0.0206 2022/12/05 06:26:54 - mmengine - INFO - Epoch(train) [3][2480/4451] lr: 9.8809e-02 eta: 4:33:36 time: 0.4968 data_time: 0.0128 memory: 16785 grad_norm: 0.0995 loss: 0.0215 recall@thr=0.5: 0.7882 prec@thr=0.5: 0.8819 recall@top3: 0.8715 prec@top3: 0.7639 recall@top5: 1.0000 prec@top5: 0.5417 loss_action_cls: 0.0215 2022/12/05 06:27:04 - mmengine - INFO - Epoch(train) [3][2500/4451] lr: 9.8790e-02 eta: 4:33:26 time: 0.4954 data_time: 0.0111 memory: 16785 grad_norm: 0.0996 loss: 0.0213 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8947 recall@top3: 0.8114 prec@top3: 0.6316 recall@top5: 0.9211 prec@top5: 0.4421 loss_action_cls: 0.0213 2022/12/05 06:27:14 - mmengine - INFO - Epoch(train) [3][2520/4451] lr: 9.8770e-02 eta: 4:33:16 time: 0.4936 data_time: 0.0104 memory: 16785 grad_norm: 0.0977 loss: 0.0208 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6535 recall@top3: 0.7807 prec@top3: 0.5614 recall@top5: 0.9737 prec@top5: 0.4211 loss_action_cls: 0.0208 2022/12/05 06:27:24 - mmengine - INFO - Epoch(train) [3][2540/4451] lr: 9.8751e-02 eta: 4:33:06 time: 0.4946 data_time: 0.0103 memory: 16785 grad_norm: 0.1089 loss: 0.0219 recall@thr=0.5: 0.4160 prec@thr=0.5: 0.5417 recall@top3: 0.7646 prec@top3: 0.6667 recall@top5: 0.8632 prec@top5: 0.4583 loss_action_cls: 0.0219 2022/12/05 06:27:34 - mmengine - INFO - Epoch(train) [3][2560/4451] lr: 9.8731e-02 eta: 4:32:56 time: 0.4957 data_time: 0.0102 memory: 16785 grad_norm: 0.0984 loss: 0.0210 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.7681 recall@top3: 0.8623 prec@top3: 0.6667 recall@top5: 0.9348 prec@top5: 0.4348 loss_action_cls: 0.0210 2022/12/05 06:27:43 - mmengine - INFO - Epoch(train) [3][2580/4451] lr: 9.8711e-02 eta: 4:32:46 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.1037 loss: 0.0204 recall@thr=0.5: 0.7049 prec@thr=0.5: 0.7361 recall@top3: 0.9236 prec@top3: 0.5417 recall@top5: 0.9861 prec@top5: 0.3583 loss_action_cls: 0.0204 2022/12/05 06:27:53 - mmengine - INFO - Epoch(train) [3][2600/4451] lr: 9.8691e-02 eta: 4:32:37 time: 0.4955 data_time: 0.0105 memory: 16785 grad_norm: 0.1077 loss: 0.0234 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6250 recall@top3: 0.7593 prec@top3: 0.5926 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0234 2022/12/05 06:28:03 - mmengine - INFO - Epoch(train) [3][2620/4451] lr: 9.8671e-02 eta: 4:32:27 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.1041 loss: 0.0227 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8579 recall@top3: 0.8421 prec@top3: 0.7368 recall@top5: 0.9342 prec@top5: 0.5158 loss_action_cls: 0.0227 2022/12/05 06:28:13 - mmengine - INFO - Epoch(train) [3][2640/4451] lr: 9.8651e-02 eta: 4:32:17 time: 0.4943 data_time: 0.0104 memory: 16785 grad_norm: 0.1086 loss: 0.0205 recall@thr=0.5: 0.5051 prec@thr=0.5: 0.6111 recall@top3: 0.7525 prec@top3: 0.5657 recall@top5: 0.9798 prec@top5: 0.4303 loss_action_cls: 0.0205 2022/12/05 06:28:23 - mmengine - INFO - Epoch(train) [3][2660/4451] lr: 9.8630e-02 eta: 4:32:07 time: 0.4944 data_time: 0.0103 memory: 16785 grad_norm: 0.1029 loss: 0.0215 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.5741 recall@top3: 0.7546 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.4333 loss_action_cls: 0.0215 2022/12/05 06:28:33 - mmengine - INFO - Epoch(train) [3][2680/4451] lr: 9.8610e-02 eta: 4:31:57 time: 0.4944 data_time: 0.0102 memory: 16785 grad_norm: 0.1003 loss: 0.0190 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7593 recall@top3: 0.8889 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.3778 loss_action_cls: 0.0190 2022/12/05 06:28:43 - mmengine - INFO - Epoch(train) [3][2700/4451] lr: 9.8589e-02 eta: 4:31:47 time: 0.4947 data_time: 0.0103 memory: 16785 grad_norm: 0.1025 loss: 0.0211 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.4405 recall@top3: 0.7976 prec@top3: 0.4524 recall@top5: 0.8929 prec@top5: 0.3286 loss_action_cls: 0.0211 2022/12/05 06:28:53 - mmengine - INFO - Epoch(train) [3][2720/4451] lr: 9.8568e-02 eta: 4:31:37 time: 0.4954 data_time: 0.0106 memory: 16785 grad_norm: 0.1019 loss: 0.0202 recall@thr=0.5: 0.4639 prec@thr=0.5: 0.7389 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.8806 prec@top5: 0.4800 loss_action_cls: 0.0202 2022/12/05 06:29:03 - mmengine - INFO - Epoch(train) [3][2740/4451] lr: 9.8547e-02 eta: 4:31:27 time: 0.4953 data_time: 0.0107 memory: 16785 grad_norm: 0.1041 loss: 0.0190 recall@thr=0.5: 0.5043 prec@thr=0.5: 0.7930 recall@top3: 0.7349 prec@top3: 0.6774 recall@top5: 0.9441 prec@top5: 0.5484 loss_action_cls: 0.0190 2022/12/05 06:29:13 - mmengine - INFO - Epoch(train) [3][2760/4451] lr: 9.8526e-02 eta: 4:31:17 time: 0.4961 data_time: 0.0108 memory: 16785 grad_norm: 0.1000 loss: 0.0209 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.5256 recall@top3: 0.6667 prec@top3: 0.4359 recall@top5: 0.8590 prec@top5: 0.3385 loss_action_cls: 0.0209 2022/12/05 06:29:22 - mmengine - INFO - Epoch(train) [3][2780/4451] lr: 9.8505e-02 eta: 4:31:07 time: 0.4942 data_time: 0.0106 memory: 16785 grad_norm: 0.0997 loss: 0.0201 recall@thr=0.5: 0.7079 prec@thr=0.5: 0.9048 recall@top3: 0.8111 prec@top3: 0.7778 recall@top5: 0.9524 prec@top5: 0.5810 loss_action_cls: 0.0201 2022/12/05 06:29:32 - mmengine - INFO - Epoch(train) [3][2800/4451] lr: 9.8483e-02 eta: 4:30:57 time: 0.4956 data_time: 0.0105 memory: 16785 grad_norm: 0.1007 loss: 0.0217 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.4167 recall@top3: 0.6310 prec@top3: 0.4286 recall@top5: 0.7619 prec@top5: 0.3286 loss_action_cls: 0.0217 2022/12/05 06:29:42 - mmengine - INFO - Epoch(train) [3][2820/4451] lr: 9.8462e-02 eta: 4:30:47 time: 0.4964 data_time: 0.0109 memory: 16785 grad_norm: 0.1046 loss: 0.0217 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.7644 recall@top3: 0.8161 prec@top3: 0.6782 recall@top5: 0.9368 prec@top5: 0.4690 loss_action_cls: 0.0217 2022/12/05 06:29:52 - mmengine - INFO - Epoch(train) [3][2840/4451] lr: 9.8440e-02 eta: 4:30:37 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.1061 loss: 0.0213 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6754 recall@top3: 0.9035 prec@top3: 0.5088 recall@top5: 1.0000 prec@top5: 0.3579 loss_action_cls: 0.0213 2022/12/05 06:30:02 - mmengine - INFO - Epoch(train) [3][2860/4451] lr: 9.8418e-02 eta: 4:30:27 time: 0.4951 data_time: 0.0105 memory: 16785 grad_norm: 0.0996 loss: 0.0208 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5778 recall@top3: 0.7333 prec@top3: 0.4444 recall@top5: 0.8333 prec@top5: 0.3067 loss_action_cls: 0.0208 2022/12/05 06:30:12 - mmengine - INFO - Epoch(train) [3][2880/4451] lr: 9.8396e-02 eta: 4:30:17 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.1004 loss: 0.0202 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8810 recall@top3: 0.8889 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0202 2022/12/05 06:30:22 - mmengine - INFO - Epoch(train) [3][2900/4451] lr: 9.8373e-02 eta: 4:30:07 time: 0.4942 data_time: 0.0105 memory: 16785 grad_norm: 0.0991 loss: 0.0192 recall@thr=0.5: 0.5488 prec@thr=0.5: 0.5926 recall@top3: 0.5710 prec@top3: 0.6420 recall@top5: 0.8222 prec@top5: 0.5556 loss_action_cls: 0.0192 2022/12/05 06:30:32 - mmengine - INFO - Epoch(train) [3][2920/4451] lr: 9.8351e-02 eta: 4:29:57 time: 0.4943 data_time: 0.0106 memory: 16785 grad_norm: 0.1027 loss: 0.0188 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7000 recall@top3: 0.9333 prec@top3: 0.5333 recall@top5: 0.9500 prec@top5: 0.3300 loss_action_cls: 0.0188 2022/12/05 06:30:42 - mmengine - INFO - Epoch(train) [3][2940/4451] lr: 9.8328e-02 eta: 4:29:48 time: 0.4959 data_time: 0.0120 memory: 16785 grad_norm: 0.1033 loss: 0.0193 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.7121 recall@top3: 0.8121 prec@top3: 0.7424 recall@top5: 0.8833 prec@top5: 0.5000 loss_action_cls: 0.0193 2022/12/05 06:30:52 - mmengine - INFO - Epoch(train) [3][2960/4451] lr: 9.8306e-02 eta: 4:29:38 time: 0.4942 data_time: 0.0104 memory: 16785 grad_norm: 0.1052 loss: 0.0223 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.5952 recall@top3: 0.8333 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.3571 loss_action_cls: 0.0223 2022/12/05 06:31:01 - mmengine - INFO - Epoch(train) [3][2980/4451] lr: 9.8283e-02 eta: 4:29:28 time: 0.4942 data_time: 0.0108 memory: 16785 grad_norm: 0.0982 loss: 0.0180 recall@thr=0.5: 0.7847 prec@thr=0.5: 0.9167 recall@top3: 0.9097 prec@top3: 0.7083 recall@top5: 0.9444 prec@top5: 0.4417 loss_action_cls: 0.0180 2022/12/05 06:31:11 - mmengine - INFO - Epoch(train) [3][3000/4451] lr: 9.8260e-02 eta: 4:29:18 time: 0.4945 data_time: 0.0105 memory: 16785 grad_norm: 0.1033 loss: 0.0193 recall@thr=0.5: 0.5389 prec@thr=0.5: 0.6222 recall@top3: 0.5722 prec@top3: 0.3778 recall@top5: 0.7667 prec@top5: 0.3067 loss_action_cls: 0.0193 2022/12/05 06:31:21 - mmengine - INFO - Epoch(train) [3][3020/4451] lr: 9.8237e-02 eta: 4:29:08 time: 0.4938 data_time: 0.0107 memory: 16785 grad_norm: 0.1083 loss: 0.0192 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7412 recall@top3: 0.9254 prec@top3: 0.7719 recall@top5: 0.9737 prec@top5: 0.4947 loss_action_cls: 0.0192 2022/12/05 06:31:31 - mmengine - INFO - Epoch(train) [3][3040/4451] lr: 9.8214e-02 eta: 4:28:58 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1111 loss: 0.0212 recall@thr=0.5: 0.9405 prec@thr=0.5: 0.9167 recall@top3: 0.9286 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0212 2022/12/05 06:31:41 - mmengine - INFO - Epoch(train) [3][3060/4451] lr: 9.8190e-02 eta: 4:28:48 time: 0.4950 data_time: 0.0108 memory: 16785 grad_norm: 0.1043 loss: 0.0191 recall@thr=0.5: 0.7748 prec@thr=0.5: 0.7950 recall@top3: 0.8649 prec@top3: 0.7027 recall@top5: 0.9550 prec@top5: 0.4703 loss_action_cls: 0.0191 2022/12/05 06:31:51 - mmengine - INFO - Epoch(train) [3][3080/4451] lr: 9.8166e-02 eta: 4:28:38 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1013 loss: 0.0187 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.8077 recall@top3: 0.9038 prec@top3: 0.5641 recall@top5: 0.9744 prec@top5: 0.3846 loss_action_cls: 0.0187 2022/12/05 06:32:00 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 06:32:01 - mmengine - INFO - Epoch(train) [3][3100/4451] lr: 9.8143e-02 eta: 4:28:28 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1073 loss: 0.0206 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.7273 recall@top3: 0.8030 prec@top3: 0.5909 recall@top5: 0.9015 prec@top5: 0.4000 loss_action_cls: 0.0206 2022/12/05 06:32:11 - mmengine - INFO - Epoch(train) [3][3120/4451] lr: 9.8119e-02 eta: 4:28:18 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.1132 loss: 0.0206 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7407 recall@top3: 0.8056 prec@top3: 0.6481 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0206 2022/12/05 06:32:21 - mmengine - INFO - Epoch(train) [3][3140/4451] lr: 9.8095e-02 eta: 4:28:08 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.1004 loss: 0.0213 recall@thr=0.5: 0.6551 prec@thr=0.5: 0.6269 recall@top3: 0.6412 prec@top3: 0.5833 recall@top5: 0.8935 prec@top5: 0.4722 loss_action_cls: 0.0213 2022/12/05 06:32:30 - mmengine - INFO - Epoch(train) [3][3160/4451] lr: 9.8071e-02 eta: 4:27:58 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.0966 loss: 0.0207 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5625 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0207 2022/12/05 06:32:40 - mmengine - INFO - Epoch(train) [3][3180/4451] lr: 9.8046e-02 eta: 4:27:48 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.1046 loss: 0.0204 recall@thr=0.5: 0.6647 prec@thr=0.5: 0.7800 recall@top3: 0.9180 prec@top3: 0.7467 recall@top5: 0.9840 prec@top5: 0.4960 loss_action_cls: 0.0204 2022/12/05 06:32:50 - mmengine - INFO - Epoch(train) [3][3200/4451] lr: 9.8022e-02 eta: 4:27:38 time: 0.4952 data_time: 0.0106 memory: 16785 grad_norm: 0.1015 loss: 0.0204 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.8810 recall@top3: 0.7579 prec@top3: 0.7302 recall@top5: 0.9286 prec@top5: 0.5524 loss_action_cls: 0.0204 2022/12/05 06:33:00 - mmengine - INFO - Epoch(train) [3][3220/4451] lr: 9.7997e-02 eta: 4:27:28 time: 0.4953 data_time: 0.0104 memory: 16785 grad_norm: 0.1013 loss: 0.0195 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7312 recall@top3: 0.6839 prec@top3: 0.6667 recall@top5: 0.9435 prec@top5: 0.5419 loss_action_cls: 0.0195 2022/12/05 06:33:10 - mmengine - INFO - Epoch(train) [3][3240/4451] lr: 9.7972e-02 eta: 4:27:18 time: 0.4955 data_time: 0.0109 memory: 16785 grad_norm: 0.1028 loss: 0.0186 recall@thr=0.5: 0.8372 prec@thr=0.5: 0.7821 recall@top3: 0.9269 prec@top3: 0.6667 recall@top5: 0.9744 prec@top5: 0.4385 loss_action_cls: 0.0186 2022/12/05 06:33:20 - mmengine - INFO - Epoch(train) [3][3260/4451] lr: 9.7947e-02 eta: 4:27:08 time: 0.4950 data_time: 0.0102 memory: 16785 grad_norm: 0.1114 loss: 0.0214 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7598 recall@top3: 0.8088 prec@top3: 0.6667 recall@top5: 0.9265 prec@top5: 0.4353 loss_action_cls: 0.0214 2022/12/05 06:33:30 - mmengine - INFO - Epoch(train) [3][3280/4451] lr: 9.7922e-02 eta: 4:26:59 time: 0.4958 data_time: 0.0105 memory: 16785 grad_norm: 0.1012 loss: 0.0214 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.5952 recall@top3: 0.7619 prec@top3: 0.6508 recall@top5: 0.8651 prec@top5: 0.4476 loss_action_cls: 0.0214 2022/12/05 06:33:40 - mmengine - INFO - Epoch(train) [3][3300/4451] lr: 9.7897e-02 eta: 4:26:49 time: 0.4956 data_time: 0.0116 memory: 16785 grad_norm: 0.1049 loss: 0.0219 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7986 recall@top3: 0.8924 prec@top3: 0.6806 recall@top5: 0.9757 prec@top5: 0.4667 loss_action_cls: 0.0219 2022/12/05 06:33:50 - mmengine - INFO - Epoch(train) [3][3320/4451] lr: 9.7872e-02 eta: 4:26:39 time: 0.4952 data_time: 0.0105 memory: 16785 grad_norm: 0.1022 loss: 0.0187 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8913 recall@top3: 0.9275 prec@top3: 0.8406 recall@top5: 0.9783 prec@top5: 0.5391 loss_action_cls: 0.0187 2022/12/05 06:34:00 - mmengine - INFO - Epoch(train) [3][3340/4451] lr: 9.7846e-02 eta: 4:26:29 time: 0.4951 data_time: 0.0108 memory: 16785 grad_norm: 0.1052 loss: 0.0226 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.5917 recall@top3: 0.8125 prec@top3: 0.5500 recall@top5: 0.9625 prec@top5: 0.3800 loss_action_cls: 0.0226 2022/12/05 06:34:10 - mmengine - INFO - Epoch(train) [3][3360/4451] lr: 9.7820e-02 eta: 4:26:19 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.0993 loss: 0.0223 recall@thr=0.5: 0.7106 prec@thr=0.5: 0.8333 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9242 prec@top5: 0.5091 loss_action_cls: 0.0223 2022/12/05 06:34:19 - mmengine - INFO - Epoch(train) [3][3380/4451] lr: 9.7795e-02 eta: 4:26:09 time: 0.4955 data_time: 0.0108 memory: 16785 grad_norm: 0.1010 loss: 0.0204 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.7833 recall@top3: 0.7833 prec@top3: 0.6000 recall@top5: 0.9083 prec@top5: 0.4400 loss_action_cls: 0.0204 2022/12/05 06:34:29 - mmengine - INFO - Epoch(train) [3][3400/4451] lr: 9.7769e-02 eta: 4:25:59 time: 0.4945 data_time: 0.0107 memory: 16785 grad_norm: 0.0965 loss: 0.0199 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.6825 recall@top3: 0.8016 prec@top3: 0.5238 recall@top5: 0.9762 prec@top5: 0.4000 loss_action_cls: 0.0199 2022/12/05 06:34:39 - mmengine - INFO - Epoch(train) [3][3420/4451] lr: 9.7742e-02 eta: 4:25:49 time: 0.4944 data_time: 0.0105 memory: 16785 grad_norm: 0.1048 loss: 0.0186 recall@thr=0.5: 0.2917 prec@thr=0.5: 0.4062 recall@top3: 0.5625 prec@top3: 0.3750 recall@top5: 0.6354 prec@top5: 0.2625 loss_action_cls: 0.0186 2022/12/05 06:34:49 - mmengine - INFO - Epoch(train) [3][3440/4451] lr: 9.7716e-02 eta: 4:25:39 time: 0.4955 data_time: 0.0107 memory: 16785 grad_norm: 0.0992 loss: 0.0215 recall@thr=0.5: 0.7328 prec@thr=0.5: 0.8736 recall@top3: 0.8218 prec@top3: 0.7126 recall@top5: 0.9253 prec@top5: 0.4966 loss_action_cls: 0.0215 2022/12/05 06:34:59 - mmengine - INFO - Epoch(train) [3][3460/4451] lr: 9.7690e-02 eta: 4:25:29 time: 0.4952 data_time: 0.0103 memory: 16785 grad_norm: 0.1054 loss: 0.0186 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8681 recall@top3: 0.8194 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0186 2022/12/05 06:35:09 - mmengine - INFO - Epoch(train) [3][3480/4451] lr: 9.7663e-02 eta: 4:25:19 time: 0.4948 data_time: 0.0106 memory: 16785 grad_norm: 0.1025 loss: 0.0192 recall@thr=0.5: 0.6596 prec@thr=0.5: 0.6316 recall@top3: 0.8456 prec@top3: 0.5965 recall@top5: 0.9439 prec@top5: 0.4000 loss_action_cls: 0.0192 2022/12/05 06:35:19 - mmengine - INFO - Epoch(train) [3][3500/4451] lr: 9.7636e-02 eta: 4:25:09 time: 0.4947 data_time: 0.0108 memory: 16785 grad_norm: 0.0996 loss: 0.0174 recall@thr=0.5: 0.2444 prec@thr=0.5: 0.3556 recall@top3: 0.7278 prec@top3: 0.4667 recall@top5: 0.8500 prec@top5: 0.3333 loss_action_cls: 0.0174 2022/12/05 06:35:29 - mmengine - INFO - Epoch(train) [3][3520/4451] lr: 9.7609e-02 eta: 4:24:59 time: 0.4947 data_time: 0.0104 memory: 16785 grad_norm: 0.1112 loss: 0.0212 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9333 recall@top3: 0.8667 prec@top3: 0.7111 recall@top5: 0.9444 prec@top5: 0.4800 loss_action_cls: 0.0212 2022/12/05 06:35:39 - mmengine - INFO - Epoch(train) [3][3540/4451] lr: 9.7582e-02 eta: 4:24:49 time: 0.4948 data_time: 0.0105 memory: 16785 grad_norm: 0.1056 loss: 0.0221 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.7583 recall@top3: 0.9500 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4100 loss_action_cls: 0.0221 2022/12/05 06:35:49 - mmengine - INFO - Epoch(train) [3][3560/4451] lr: 9.7555e-02 eta: 4:24:39 time: 0.4957 data_time: 0.0106 memory: 16785 grad_norm: 0.1042 loss: 0.0184 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.5556 recall@top3: 0.8056 prec@top3: 0.4259 recall@top5: 0.9167 prec@top5: 0.3000 loss_action_cls: 0.0184 2022/12/05 06:35:58 - mmengine - INFO - Epoch(train) [3][3580/4451] lr: 9.7528e-02 eta: 4:24:29 time: 0.4943 data_time: 0.0106 memory: 16785 grad_norm: 0.1043 loss: 0.0213 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.8623 recall@top3: 0.9130 prec@top3: 0.5652 recall@top5: 0.9493 prec@top5: 0.3565 loss_action_cls: 0.0213 2022/12/05 06:36:08 - mmengine - INFO - Epoch(train) [3][3600/4451] lr: 9.7500e-02 eta: 4:24:20 time: 0.4947 data_time: 0.0105 memory: 16785 grad_norm: 0.0990 loss: 0.0198 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8561 recall@top3: 0.8333 prec@top3: 0.7121 recall@top5: 0.9697 prec@top5: 0.5000 loss_action_cls: 0.0198 2022/12/05 06:36:18 - mmengine - INFO - Epoch(train) [3][3620/4451] lr: 9.7473e-02 eta: 4:24:10 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.1001 loss: 0.0218 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8431 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9020 prec@top5: 0.4471 loss_action_cls: 0.0218 2022/12/05 06:36:28 - mmengine - INFO - Epoch(train) [3][3640/4451] lr: 9.7445e-02 eta: 4:24:00 time: 0.4944 data_time: 0.0106 memory: 16785 grad_norm: 0.0987 loss: 0.0212 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7500 recall@top3: 0.7222 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0212 2022/12/05 06:36:38 - mmengine - INFO - Epoch(train) [3][3660/4451] lr: 9.7417e-02 eta: 4:23:50 time: 0.4960 data_time: 0.0107 memory: 16785 grad_norm: 0.0987 loss: 0.0216 recall@thr=0.5: 0.3485 prec@thr=0.5: 0.5455 recall@top3: 0.6288 prec@top3: 0.4697 recall@top5: 0.8182 prec@top5: 0.3909 loss_action_cls: 0.0216 2022/12/05 06:36:48 - mmengine - INFO - Epoch(train) [3][3680/4451] lr: 9.7389e-02 eta: 4:23:40 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1027 loss: 0.0190 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.9020 recall@top3: 0.8333 prec@top3: 0.5882 recall@top5: 0.9608 prec@top5: 0.4235 loss_action_cls: 0.0190 2022/12/05 06:36:58 - mmengine - INFO - Epoch(train) [3][3700/4451] lr: 9.7361e-02 eta: 4:23:30 time: 0.4953 data_time: 0.0110 memory: 16785 grad_norm: 0.0989 loss: 0.0200 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9389 recall@top3: 0.8889 prec@top3: 0.8222 recall@top5: 0.9556 prec@top5: 0.5467 loss_action_cls: 0.0200 2022/12/05 06:37:08 - mmengine - INFO - Epoch(train) [3][3720/4451] lr: 9.7333e-02 eta: 4:23:20 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.1042 loss: 0.0229 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.6583 recall@top3: 0.8917 prec@top3: 0.5167 recall@top5: 0.9417 prec@top5: 0.3300 loss_action_cls: 0.0229 2022/12/05 06:37:18 - mmengine - INFO - Epoch(train) [3][3740/4451] lr: 9.7304e-02 eta: 4:23:10 time: 0.4955 data_time: 0.0105 memory: 16785 grad_norm: 0.0975 loss: 0.0203 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8421 recall@top3: 0.9123 prec@top3: 0.6842 recall@top5: 0.9649 prec@top5: 0.4526 loss_action_cls: 0.0203 2022/12/05 06:37:28 - mmengine - INFO - Epoch(train) [3][3760/4451] lr: 9.7275e-02 eta: 4:23:00 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1012 loss: 0.0211 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7500 recall@top3: 0.7685 prec@top3: 0.6111 recall@top5: 0.8519 prec@top5: 0.4111 loss_action_cls: 0.0211 2022/12/05 06:37:37 - mmengine - INFO - Epoch(train) [3][3780/4451] lr: 9.7247e-02 eta: 4:22:50 time: 0.4945 data_time: 0.0109 memory: 16785 grad_norm: 0.0997 loss: 0.0198 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7262 recall@top3: 0.8810 prec@top3: 0.6548 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0198 2022/12/05 06:37:47 - mmengine - INFO - Epoch(train) [3][3800/4451] lr: 9.7218e-02 eta: 4:22:40 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1042 loss: 0.0213 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6944 recall@top3: 0.8968 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0213 2022/12/05 06:37:57 - mmengine - INFO - Epoch(train) [3][3820/4451] lr: 9.7189e-02 eta: 4:22:30 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1012 loss: 0.0211 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.7500 recall@top3: 0.8792 prec@top3: 0.6667 recall@top5: 0.8917 prec@top5: 0.4100 loss_action_cls: 0.0211 2022/12/05 06:38:07 - mmengine - INFO - Epoch(train) [3][3840/4451] lr: 9.7159e-02 eta: 4:22:20 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1045 loss: 0.0206 recall@thr=0.5: 0.5961 prec@thr=0.5: 0.7696 recall@top3: 0.8078 prec@top3: 0.7451 recall@top5: 0.9471 prec@top5: 0.5529 loss_action_cls: 0.0206 2022/12/05 06:38:17 - mmengine - INFO - Epoch(train) [3][3860/4451] lr: 9.7130e-02 eta: 4:22:11 time: 0.4969 data_time: 0.0119 memory: 16785 grad_norm: 0.1062 loss: 0.0206 recall@thr=0.5: 0.6993 prec@thr=0.5: 0.8297 recall@top3: 0.8080 prec@top3: 0.5072 recall@top5: 0.9022 prec@top5: 0.3652 loss_action_cls: 0.0206 2022/12/05 06:38:27 - mmengine - INFO - Epoch(train) [3][3880/4451] lr: 9.7100e-02 eta: 4:22:01 time: 0.4955 data_time: 0.0104 memory: 16785 grad_norm: 0.0980 loss: 0.0198 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.6731 recall@top3: 0.7083 prec@top3: 0.4744 recall@top5: 0.8590 prec@top5: 0.3385 loss_action_cls: 0.0198 2022/12/05 06:38:37 - mmengine - INFO - Epoch(train) [3][3900/4451] lr: 9.7071e-02 eta: 4:21:51 time: 0.4948 data_time: 0.0105 memory: 16785 grad_norm: 0.1025 loss: 0.0203 recall@thr=0.5: 0.5963 prec@thr=0.5: 0.8148 recall@top3: 0.7491 prec@top3: 0.6296 recall@top5: 0.8759 prec@top5: 0.4667 loss_action_cls: 0.0203 2022/12/05 06:38:47 - mmengine - INFO - Epoch(train) [3][3920/4451] lr: 9.7041e-02 eta: 4:21:41 time: 0.4949 data_time: 0.0105 memory: 16785 grad_norm: 0.0936 loss: 0.0186 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7639 recall@top3: 0.7604 prec@top3: 0.6528 recall@top5: 0.9201 prec@top5: 0.5000 loss_action_cls: 0.0186 2022/12/05 06:38:57 - mmengine - INFO - Epoch(train) [3][3940/4451] lr: 9.7011e-02 eta: 4:21:31 time: 0.4947 data_time: 0.0109 memory: 16785 grad_norm: 0.0970 loss: 0.0225 recall@thr=0.5: 0.4621 prec@thr=0.5: 0.4091 recall@top3: 0.6061 prec@top3: 0.5152 recall@top5: 0.7803 prec@top5: 0.4091 loss_action_cls: 0.0225 2022/12/05 06:39:07 - mmengine - INFO - Epoch(train) [3][3960/4451] lr: 9.6981e-02 eta: 4:21:21 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.1027 loss: 0.0210 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7130 recall@top3: 0.8704 prec@top3: 0.5741 recall@top5: 0.9444 prec@top5: 0.3667 loss_action_cls: 0.0210 2022/12/05 06:39:17 - mmengine - INFO - Epoch(train) [3][3980/4451] lr: 9.6951e-02 eta: 4:21:11 time: 0.4948 data_time: 0.0102 memory: 16785 grad_norm: 0.1035 loss: 0.0195 recall@thr=0.5: 0.6477 prec@thr=0.5: 0.7614 recall@top3: 0.7083 prec@top3: 0.6364 recall@top5: 0.8258 prec@top5: 0.4727 loss_action_cls: 0.0195 2022/12/05 06:39:26 - mmengine - INFO - Epoch(train) [3][4000/4451] lr: 9.6920e-02 eta: 4:21:01 time: 0.4946 data_time: 0.0107 memory: 16785 grad_norm: 0.1034 loss: 0.0244 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6719 recall@top3: 0.6562 prec@top3: 0.5417 recall@top5: 0.8125 prec@top5: 0.4000 loss_action_cls: 0.0244 2022/12/05 06:39:36 - mmengine - INFO - Epoch(train) [3][4020/4451] lr: 9.6890e-02 eta: 4:20:51 time: 0.4954 data_time: 0.0106 memory: 16785 grad_norm: 0.1016 loss: 0.0178 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9167 recall@top3: 0.8458 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.4900 loss_action_cls: 0.0178 2022/12/05 06:39:46 - mmengine - INFO - Epoch(train) [3][4040/4451] lr: 9.6859e-02 eta: 4:20:41 time: 0.4960 data_time: 0.0105 memory: 16785 grad_norm: 0.1030 loss: 0.0199 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.5719 recall@top3: 0.9474 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0199 2022/12/05 06:39:56 - mmengine - INFO - Epoch(train) [3][4060/4451] lr: 9.6828e-02 eta: 4:20:31 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1033 loss: 0.0217 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.6833 recall@top3: 0.8417 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0217 2022/12/05 06:40:06 - mmengine - INFO - Epoch(train) [3][4080/4451] lr: 9.6797e-02 eta: 4:20:21 time: 0.4948 data_time: 0.0098 memory: 16785 grad_norm: 0.1040 loss: 0.0204 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7273 recall@top3: 0.8712 prec@top3: 0.6667 recall@top5: 0.9848 prec@top5: 0.4273 loss_action_cls: 0.0204 2022/12/05 06:40:15 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 06:40:16 - mmengine - INFO - Epoch(train) [3][4100/4451] lr: 9.6766e-02 eta: 4:20:12 time: 0.4968 data_time: 0.0124 memory: 16785 grad_norm: 0.0975 loss: 0.0215 recall@thr=0.5: 0.2233 prec@thr=0.5: 0.2667 recall@top3: 0.5900 prec@top3: 0.3833 recall@top5: 0.8717 prec@top5: 0.3700 loss_action_cls: 0.0215 2022/12/05 06:40:26 - mmengine - INFO - Epoch(train) [3][4120/4451] lr: 9.6735e-02 eta: 4:20:02 time: 0.4945 data_time: 0.0107 memory: 16785 grad_norm: 0.0996 loss: 0.0209 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7982 recall@top3: 0.8553 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0209 2022/12/05 06:40:36 - mmengine - INFO - Epoch(train) [3][4140/4451] lr: 9.6703e-02 eta: 4:19:52 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.1024 loss: 0.0201 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7451 recall@top3: 0.7843 prec@top3: 0.5882 recall@top5: 0.8824 prec@top5: 0.4235 loss_action_cls: 0.0201 2022/12/05 06:40:46 - mmengine - INFO - Epoch(train) [3][4160/4451] lr: 9.6672e-02 eta: 4:19:42 time: 0.4958 data_time: 0.0105 memory: 16785 grad_norm: 0.0999 loss: 0.0207 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8000 recall@top3: 0.9333 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0207 2022/12/05 06:40:56 - mmengine - INFO - Epoch(train) [3][4180/4451] lr: 9.6640e-02 eta: 4:19:32 time: 0.4941 data_time: 0.0109 memory: 16785 grad_norm: 0.1050 loss: 0.0180 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.9444 recall@top3: 0.8796 prec@top3: 0.8333 recall@top5: 0.9676 prec@top5: 0.5556 loss_action_cls: 0.0180 2022/12/05 06:41:06 - mmengine - INFO - Epoch(train) [3][4200/4451] lr: 9.6608e-02 eta: 4:19:22 time: 0.4947 data_time: 0.0106 memory: 16785 grad_norm: 0.1022 loss: 0.0180 recall@thr=0.5: 0.7140 prec@thr=0.5: 0.8070 recall@top3: 0.8912 prec@top3: 0.7018 recall@top5: 0.9719 prec@top5: 0.4632 loss_action_cls: 0.0180 2022/12/05 06:41:15 - mmengine - INFO - Epoch(train) [3][4220/4451] lr: 9.6576e-02 eta: 4:19:12 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.0997 loss: 0.0218 recall@thr=0.5: 0.7468 prec@thr=0.5: 0.8494 recall@top3: 0.7981 prec@top3: 0.7564 recall@top5: 0.9135 prec@top5: 0.5308 loss_action_cls: 0.0218 2022/12/05 06:41:25 - mmengine - INFO - Epoch(train) [3][4240/4451] lr: 9.6544e-02 eta: 4:19:02 time: 0.4951 data_time: 0.0105 memory: 16785 grad_norm: 0.1000 loss: 0.0217 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7604 recall@top3: 0.8611 prec@top3: 0.6111 recall@top5: 0.9861 prec@top5: 0.4417 loss_action_cls: 0.0217 2022/12/05 06:41:35 - mmengine - INFO - Epoch(train) [3][4260/4451] lr: 9.6511e-02 eta: 4:18:52 time: 0.4943 data_time: 0.0107 memory: 16785 grad_norm: 0.1008 loss: 0.0203 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8437 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4625 loss_action_cls: 0.0203 2022/12/05 06:41:45 - mmengine - INFO - Epoch(train) [3][4280/4451] lr: 9.6479e-02 eta: 4:18:42 time: 0.4971 data_time: 0.0106 memory: 16785 grad_norm: 0.0981 loss: 0.0190 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8214 recall@top3: 0.7738 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.5429 loss_action_cls: 0.0190 2022/12/05 06:41:55 - mmengine - INFO - Epoch(train) [3][4300/4451] lr: 9.6446e-02 eta: 4:18:32 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1005 loss: 0.0207 recall@thr=0.5: 0.5632 prec@thr=0.5: 0.6377 recall@top3: 0.7193 prec@top3: 0.7018 recall@top5: 0.8263 prec@top5: 0.5158 loss_action_cls: 0.0207 2022/12/05 06:42:05 - mmengine - INFO - Epoch(train) [3][4320/4451] lr: 9.6414e-02 eta: 4:18:22 time: 0.4945 data_time: 0.0105 memory: 16785 grad_norm: 0.0965 loss: 0.0204 recall@thr=0.5: 0.8440 prec@thr=0.5: 0.8687 recall@top3: 0.8260 prec@top3: 0.7333 recall@top5: 0.9520 prec@top5: 0.5280 loss_action_cls: 0.0204 2022/12/05 06:42:15 - mmengine - INFO - Epoch(train) [3][4340/4451] lr: 9.6381e-02 eta: 4:18:12 time: 0.4954 data_time: 0.0105 memory: 16785 grad_norm: 0.0985 loss: 0.0220 recall@thr=0.5: 0.5231 prec@thr=0.5: 0.6296 recall@top3: 0.7870 prec@top3: 0.5926 recall@top5: 0.8935 prec@top5: 0.4111 loss_action_cls: 0.0220 2022/12/05 06:42:25 - mmengine - INFO - Epoch(train) [3][4360/4451] lr: 9.6348e-02 eta: 4:18:02 time: 0.4954 data_time: 0.0103 memory: 16785 grad_norm: 0.1015 loss: 0.0208 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8902 recall@top3: 0.8636 prec@top3: 0.6818 recall@top5: 0.9470 prec@top5: 0.4727 loss_action_cls: 0.0208 2022/12/05 06:42:35 - mmengine - INFO - Epoch(train) [3][4380/4451] lr: 9.6315e-02 eta: 4:17:53 time: 0.4966 data_time: 0.0105 memory: 16785 grad_norm: 0.0989 loss: 0.0212 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.7333 recall@top3: 0.6542 prec@top3: 0.5333 recall@top5: 0.7750 prec@top5: 0.3900 loss_action_cls: 0.0212 2022/12/05 06:42:45 - mmengine - INFO - Epoch(train) [3][4400/4451] lr: 9.6281e-02 eta: 4:17:43 time: 0.4954 data_time: 0.0105 memory: 16785 grad_norm: 0.1035 loss: 0.0222 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5741 recall@top3: 0.7315 prec@top3: 0.6111 recall@top5: 0.9074 prec@top5: 0.4556 loss_action_cls: 0.0222 2022/12/05 06:42:55 - mmengine - INFO - Epoch(train) [3][4420/4451] lr: 9.6248e-02 eta: 4:17:33 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.0939 loss: 0.0203 recall@thr=0.5: 0.8558 prec@thr=0.5: 0.9231 recall@top3: 0.9038 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0203 2022/12/05 06:43:04 - mmengine - INFO - Epoch(train) [3][4440/4451] lr: 9.6214e-02 eta: 4:17:23 time: 0.4953 data_time: 0.0109 memory: 16785 grad_norm: 0.1026 loss: 0.0184 recall@thr=0.5: 0.4423 prec@thr=0.5: 0.5385 recall@top3: 0.7372 prec@top3: 0.5641 recall@top5: 0.8462 prec@top5: 0.4000 loss_action_cls: 0.0184 2022/12/05 06:43:10 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 06:43:10 - mmengine - INFO - Epoch(train) [3][4451/4451] lr: 9.6196e-02 eta: 4:17:17 time: 0.4907 data_time: 0.0114 memory: 16785 grad_norm: 0.1117 loss: 0.0203 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.6930 recall@top3: 0.7237 prec@top3: 0.5789 recall@top5: 0.9035 prec@top5: 0.4316 loss_action_cls: 0.0203 2022/12/05 06:43:10 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/12/05 06:43:14 - mmengine - INFO - Epoch(val) [3][ 20/6282] eta: 0:04:31 time: 0.0433 data_time: 0.0059 memory: 1088 2022/12/05 06:43:15 - mmengine - INFO - Epoch(val) [3][ 40/6282] eta: 0:04:12 time: 0.0376 data_time: 0.0018 memory: 1088 2022/12/05 06:43:16 - mmengine - INFO - Epoch(val) [3][ 60/6282] eta: 0:04:06 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 06:43:17 - mmengine - INFO - Epoch(val) [3][ 80/6282] eta: 0:04:02 time: 0.0375 data_time: 0.0018 memory: 1088 2022/12/05 06:43:17 - mmengine - INFO - Epoch(val) [3][ 100/6282] eta: 0:03:59 time: 0.0377 data_time: 0.0018 memory: 1088 2022/12/05 06:43:18 - mmengine - INFO - Epoch(val) [3][ 120/6282] eta: 0:04:08 time: 0.0477 data_time: 0.0019 memory: 1231 2022/12/05 06:43:19 - mmengine - INFO - Epoch(val) [3][ 140/6282] eta: 0:04:18 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 06:43:20 - mmengine - INFO - Epoch(val) [3][ 160/6282] eta: 0:04:26 time: 0.0532 data_time: 0.0020 memory: 1231 2022/12/05 06:43:21 - mmengine - INFO - Epoch(val) [3][ 180/6282] eta: 0:04:32 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 06:43:22 - mmengine - INFO - Epoch(val) [3][ 200/6282] eta: 0:04:35 time: 0.0522 data_time: 0.0021 memory: 1231 2022/12/05 06:43:23 - mmengine - INFO - Epoch(val) [3][ 220/6282] eta: 0:04:33 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 06:43:24 - mmengine - INFO - Epoch(val) [3][ 240/6282] eta: 0:04:30 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 06:43:25 - mmengine - INFO - Epoch(val) [3][ 260/6282] eta: 0:04:28 time: 0.0420 data_time: 0.0021 memory: 1113 2022/12/05 06:43:26 - mmengine - INFO - Epoch(val) [3][ 280/6282] eta: 0:04:26 time: 0.0425 data_time: 0.0023 memory: 1113 2022/12/05 06:43:27 - mmengine - INFO - Epoch(val) [3][ 300/6282] eta: 0:04:27 time: 0.0479 data_time: 0.0025 memory: 1231 2022/12/05 06:43:28 - mmengine - INFO - Epoch(val) [3][ 320/6282] eta: 0:04:29 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 06:43:29 - mmengine - INFO - Epoch(val) [3][ 340/6282] eta: 0:04:31 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 06:43:30 - mmengine - INFO - Epoch(val) [3][ 360/6282] eta: 0:04:33 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 06:43:31 - mmengine - INFO - Epoch(val) [3][ 380/6282] eta: 0:04:35 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 06:43:32 - mmengine - INFO - Epoch(val) [3][ 400/6282] eta: 0:04:34 time: 0.0481 data_time: 0.0022 memory: 1231 2022/12/05 06:43:33 - mmengine - INFO - Epoch(val) [3][ 420/6282] eta: 0:04:32 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 06:43:34 - mmengine - INFO - Epoch(val) [3][ 440/6282] eta: 0:04:30 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 06:43:35 - mmengine - INFO - Epoch(val) [3][ 460/6282] eta: 0:04:28 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 06:43:35 - mmengine - INFO - Epoch(val) [3][ 480/6282] eta: 0:04:26 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 06:43:36 - mmengine - INFO - Epoch(val) [3][ 500/6282] eta: 0:04:24 time: 0.0429 data_time: 0.0019 memory: 1122 2022/12/05 06:43:37 - mmengine - INFO - Epoch(val) [3][ 520/6282] eta: 0:04:23 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 06:43:38 - mmengine - INFO - Epoch(val) [3][ 540/6282] eta: 0:04:21 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 06:43:39 - mmengine - INFO - Epoch(val) [3][ 560/6282] eta: 0:04:19 time: 0.0420 data_time: 0.0021 memory: 1113 2022/12/05 06:43:40 - mmengine - INFO - Epoch(val) [3][ 580/6282] eta: 0:04:18 time: 0.0422 data_time: 0.0023 memory: 1113 2022/12/05 06:43:41 - mmengine - INFO - Epoch(val) [3][ 600/6282] eta: 0:04:16 time: 0.0416 data_time: 0.0017 memory: 1113 2022/12/05 06:43:41 - mmengine - INFO - Epoch(val) [3][ 620/6282] eta: 0:04:14 time: 0.0409 data_time: 0.0019 memory: 1113 2022/12/05 06:43:42 - mmengine - INFO - Epoch(val) [3][ 640/6282] eta: 0:04:13 time: 0.0407 data_time: 0.0019 memory: 1105 2022/12/05 06:43:43 - mmengine - INFO - Epoch(val) [3][ 660/6282] eta: 0:04:11 time: 0.0408 data_time: 0.0019 memory: 1105 2022/12/05 06:43:44 - mmengine - INFO 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eta: 0:04:04 time: 0.0380 data_time: 0.0023 memory: 1088 2022/12/05 06:44:00 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:04:02 time: 0.0376 data_time: 0.0016 memory: 1113 2022/12/05 06:44:01 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:04:00 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 06:44:02 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:03:59 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:44:03 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:03:58 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:44:04 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:03:56 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 06:44:05 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:03:55 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:44:05 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:03:54 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:44:06 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:03:53 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:44:07 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:03:51 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 06:44:08 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:03:50 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 06:44:09 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:03:49 time: 0.0425 data_time: 0.0021 memory: 1113 2022/12/05 06:44:10 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:03:51 time: 0.0749 data_time: 0.0236 memory: 1231 2022/12/05 06:44:12 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:03:52 time: 0.0775 data_time: 0.0255 memory: 1231 2022/12/05 06:44:14 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:03:54 time: 0.0851 data_time: 0.0335 memory: 1231 2022/12/05 06:44:15 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:03:56 time: 0.0780 data_time: 0.0257 memory: 1231 2022/12/05 06:44:17 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:03:57 time: 0.0824 data_time: 0.0305 memory: 1231 2022/12/05 06:44:18 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:03:59 time: 0.0809 data_time: 0.0288 memory: 1231 2022/12/05 06:44:20 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:04:01 time: 0.0972 data_time: 0.0447 memory: 1231 2022/12/05 06:44:22 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:04:03 time: 0.0797 data_time: 0.0279 memory: 1231 2022/12/05 06:44:23 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:04:03 time: 0.0637 data_time: 0.0122 memory: 1231 2022/12/05 06:44:24 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:04:02 time: 0.0536 data_time: 0.0023 memory: 1231 2022/12/05 06:44:25 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:04:01 time: 0.0537 data_time: 0.0020 memory: 1231 2022/12/05 06:44:26 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:04:00 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 06:44:28 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:04:00 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 06:44:29 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:03:59 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 06:44:30 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:03:58 time: 0.0543 data_time: 0.0022 memory: 1404 2022/12/05 06:44:31 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:03:58 time: 0.0682 data_time: 0.0025 memory: 1404 2022/12/05 06:44:32 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:03:58 time: 0.0682 data_time: 0.0026 memory: 1404 2022/12/05 06:44:34 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:03:58 time: 0.0684 data_time: 0.0026 memory: 1404 2022/12/05 06:44:35 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:03:58 time: 0.0681 data_time: 0.0025 memory: 1404 2022/12/05 06:44:37 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:03:58 time: 0.0690 data_time: 0.0034 memory: 1404 2022/12/05 06:44:38 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:03:57 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 06:44:39 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:03:57 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 06:44:40 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:03:56 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 06:44:41 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:03:55 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:44:42 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:03:54 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:44:43 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:03:53 time: 0.0539 data_time: 0.0025 memory: 1231 2022/12/05 06:44:44 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:03:52 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 06:44:45 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:03:51 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 06:44:46 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:03:50 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 06:44:47 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:03:49 time: 0.0551 data_time: 0.0026 memory: 1231 2022/12/05 06:44:48 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:03:49 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 06:44:50 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:03:49 time: 0.0794 data_time: 0.0271 memory: 1231 2022/12/05 06:44:52 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:03:49 time: 0.0753 data_time: 0.0228 memory: 1231 2022/12/05 06:44:53 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:03:49 time: 0.0848 data_time: 0.0328 memory: 1231 2022/12/05 06:44:54 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:03:48 time: 0.0562 data_time: 0.0046 memory: 1231 2022/12/05 06:44:55 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:03:47 time: 0.0505 data_time: 0.0020 memory: 1231 2022/12/05 06:44:56 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:03:46 time: 0.0421 data_time: 0.0021 memory: 1122 2022/12/05 06:44:57 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:03:44 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 06:44:58 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:03:43 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 06:44:59 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:03:41 time: 0.0422 data_time: 0.0021 memory: 1122 2022/12/05 06:45:00 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:03:40 time: 0.0423 data_time: 0.0023 memory: 1122 2022/12/05 06:45:00 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:03:38 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 06:45:01 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:03:37 time: 0.0427 data_time: 0.0023 memory: 1122 2022/12/05 06:45:02 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:03:36 time: 0.0420 data_time: 0.0020 memory: 1122 2022/12/05 06:45:03 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:03:34 time: 0.0422 data_time: 0.0021 memory: 1122 2022/12/05 06:45:04 - mmengine - INFO 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eta: 0:03:12 time: 0.0536 data_time: 0.0025 memory: 1231 2022/12/05 06:45:19 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:03:11 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 06:45:20 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:03:10 time: 0.0543 data_time: 0.0026 memory: 1231 2022/12/05 06:45:21 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:03:09 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 06:45:22 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:03:08 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 06:45:23 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:03:08 time: 0.0712 data_time: 0.0190 memory: 1231 2022/12/05 06:45:25 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:03:08 time: 0.0917 data_time: 0.0395 memory: 1231 2022/12/05 06:45:27 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:03:08 time: 0.0771 data_time: 0.0251 memory: 1231 2022/12/05 06:45:28 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:03:08 time: 0.0855 data_time: 0.0336 memory: 1231 2022/12/05 06:45:29 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:03:07 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 06:45:31 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:03:06 time: 0.0662 data_time: 0.0023 memory: 1388 2022/12/05 06:45:32 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:03:06 time: 0.0672 data_time: 0.0028 memory: 1388 2022/12/05 06:45:33 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:03:05 time: 0.0668 data_time: 0.0028 memory: 1388 2022/12/05 06:45:35 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:03:04 time: 0.0664 data_time: 0.0025 memory: 1388 2022/12/05 06:45:36 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:03:04 time: 0.0630 data_time: 0.0024 memory: 1388 2022/12/05 06:45:37 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:03:02 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 06:45:38 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:03:01 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 06:45:39 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:03:00 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 06:45:39 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:02:58 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 06:45:40 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:02:57 time: 0.0430 data_time: 0.0020 memory: 1122 2022/12/05 06:45:41 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:02:56 time: 0.0508 data_time: 0.0024 memory: 1231 2022/12/05 06:45:42 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:02:55 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 06:45:43 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:02:54 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:45:44 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:02:53 time: 0.0477 data_time: 0.0020 memory: 1231 2022/12/05 06:45:45 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:02:52 time: 0.0460 data_time: 0.0021 memory: 1170 2022/12/05 06:45:46 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:02:51 time: 0.0465 data_time: 0.0021 memory: 1170 2022/12/05 06:45:47 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:02:50 time: 0.0461 data_time: 0.0021 memory: 1170 2022/12/05 06:45:48 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:02:48 time: 0.0459 data_time: 0.0020 memory: 1170 2022/12/05 06:45:49 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:02:47 time: 0.0537 data_time: 0.0026 memory: 1231 2022/12/05 06:45:50 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:02:46 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 06:45:51 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:02:46 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 06:45:52 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:02:45 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 06:45:53 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:02:43 time: 0.0477 data_time: 0.0020 memory: 1231 2022/12/05 06:45:54 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:02:42 time: 0.0418 data_time: 0.0019 memory: 1122 2022/12/05 06:45:55 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:02:41 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 06:45:56 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:02:40 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 06:45:57 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:02:39 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 06:45:58 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:02:38 time: 0.0509 data_time: 0.0023 memory: 1231 2022/12/05 06:45:59 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:02:37 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 06:46:00 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:02:36 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 06:46:01 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:02:35 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 06:46:02 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:02:34 time: 0.0544 data_time: 0.0022 memory: 1231 2022/12/05 06:46:03 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:02:33 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 06:46:04 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:02:32 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:46:05 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:02:31 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:46:06 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:02:30 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:46:07 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:02:29 time: 0.0506 data_time: 0.0025 memory: 1231 2022/12/05 06:46:08 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:02:27 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 06:46:09 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:02:26 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 06:46:10 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:02:25 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 06:46:11 - mmengine - INFO - Epoch(val) [3][3460/6282] eta: 0:02:24 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 06:46:12 - mmengine - INFO - Epoch(val) [3][3480/6282] eta: 0:02:23 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 06:46:12 - mmengine - INFO - Epoch(val) [3][3500/6282] eta: 0:02:22 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 06:46:13 - mmengine - INFO - Epoch(val) [3][3520/6282] eta: 0:02:20 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 06:46:14 - mmengine - INFO - Epoch(val) [3][3540/6282] eta: 0:02:19 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 06:46:15 - mmengine - INFO - Epoch(val) [3][3560/6282] eta: 0:02:18 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 06:46:16 - mmengine - INFO - Epoch(val) [3][3580/6282] eta: 0:02:17 time: 0.0448 data_time: 0.0021 memory: 1197 2022/12/05 06:46:17 - mmengine - INFO - Epoch(val) [3][3600/6282] eta: 0:02:16 time: 0.0477 data_time: 0.0020 memory: 1197 2022/12/05 06:46:18 - mmengine - INFO - Epoch(val) [3][3620/6282] eta: 0:02:15 time: 0.0482 data_time: 0.0021 memory: 1197 2022/12/05 06:46:19 - mmengine - INFO - Epoch(val) [3][3640/6282] eta: 0:02:14 time: 0.0479 data_time: 0.0021 memory: 1197 2022/12/05 06:46:20 - mmengine - INFO - Epoch(val) [3][3660/6282] eta: 0:02:13 time: 0.0479 data_time: 0.0022 memory: 1197 2022/12/05 06:46:21 - mmengine - INFO - Epoch(val) [3][3680/6282] eta: 0:02:12 time: 0.0514 data_time: 0.0026 memory: 1231 2022/12/05 06:46:22 - mmengine - INFO - Epoch(val) [3][3700/6282] eta: 0:02:11 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 06:46:23 - mmengine - INFO - Epoch(val) [3][3720/6282] eta: 0:02:10 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 06:46:24 - mmengine - INFO - Epoch(val) [3][3740/6282] eta: 0:02:09 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 06:46:25 - mmengine - INFO - Epoch(val) 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eta: 0:02:00 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 06:46:35 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:01:59 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 06:46:36 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:01:58 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 06:46:37 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:01:57 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 06:46:38 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:01:56 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 06:46:39 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:01:55 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:46:40 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:01:54 time: 0.0552 data_time: 0.0021 memory: 1388 2022/12/05 06:46:42 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:01:53 time: 0.0663 data_time: 0.0024 memory: 1388 2022/12/05 06:46:43 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:01:52 time: 0.0664 data_time: 0.0024 memory: 1388 2022/12/05 06:46:44 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:01:51 time: 0.0661 data_time: 0.0023 memory: 1388 2022/12/05 06:46:46 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:01:51 time: 0.0664 data_time: 0.0024 memory: 1388 2022/12/05 06:46:47 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:01:50 time: 0.0583 data_time: 0.0024 memory: 1388 2022/12/05 06:46:48 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:01:49 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:46:48 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:01:47 time: 0.0422 data_time: 0.0022 memory: 1113 2022/12/05 06:46:49 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:01:46 time: 0.0414 data_time: 0.0018 memory: 1113 2022/12/05 06:46:50 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:01:45 time: 0.0419 data_time: 0.0021 memory: 1113 2022/12/05 06:46:51 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:01:44 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 06:46:52 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:01:43 time: 0.0417 data_time: 0.0019 memory: 1111 2022/12/05 06:46:53 - mmengine - INFO - Epoch(val) [3][4280/6282] eta: 0:01:42 time: 0.0417 data_time: 0.0020 memory: 1111 2022/12/05 06:46:53 - mmengine - INFO - Epoch(val) [3][4300/6282] eta: 0:01:41 time: 0.0415 data_time: 0.0019 memory: 1111 2022/12/05 06:46:54 - mmengine - INFO - Epoch(val) [3][4320/6282] eta: 0:01:40 time: 0.0424 data_time: 0.0020 memory: 1111 2022/12/05 06:46:55 - mmengine - INFO - Epoch(val) [3][4340/6282] eta: 0:01:39 time: 0.0416 data_time: 0.0019 memory: 1111 2022/12/05 06:46:56 - mmengine - INFO - Epoch(val) [3][4360/6282] eta: 0:01:38 time: 0.0535 data_time: 0.0020 memory: 1231 2022/12/05 06:46:57 - mmengine - INFO - Epoch(val) [3][4380/6282] eta: 0:01:37 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 06:46:58 - mmengine - INFO - Epoch(val) [3][4400/6282] eta: 0:01:36 time: 0.0532 data_time: 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1122 2022/12/05 06:47:07 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:26 time: 0.0420 data_time: 0.0018 memory: 1122 2022/12/05 06:47:08 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:25 time: 0.0420 data_time: 0.0020 memory: 1122 2022/12/05 06:47:09 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:01:24 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 06:47:10 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:23 time: 0.0542 data_time: 0.0021 memory: 1245 2022/12/05 06:47:11 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:01:22 time: 0.0542 data_time: 0.0020 memory: 1245 2022/12/05 06:47:12 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:21 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 06:47:13 - mmengine - INFO - Epoch(val) [3][4700/6282] eta: 0:01:20 time: 0.0543 data_time: 0.0022 memory: 1245 2022/12/05 06:47:14 - mmengine - INFO - Epoch(val) [3][4720/6282] eta: 0:01:19 time: 0.0530 data_time: 0.0021 memory: 1245 2022/12/05 06:47:15 - mmengine - INFO - Epoch(val) [3][4740/6282] eta: 0:01:18 time: 0.0460 data_time: 0.0020 memory: 1164 2022/12/05 06:47:16 - mmengine - INFO - Epoch(val) [3][4760/6282] eta: 0:01:17 time: 0.0459 data_time: 0.0020 memory: 1164 2022/12/05 06:47:17 - mmengine - INFO - Epoch(val) [3][4780/6282] eta: 0:01:16 time: 0.0460 data_time: 0.0022 memory: 1164 2022/12/05 06:47:18 - mmengine - INFO - Epoch(val) [3][4800/6282] eta: 0:01:15 time: 0.0459 data_time: 0.0020 memory: 1164 2022/12/05 06:47:19 - mmengine - INFO - Epoch(val) [3][4820/6282] eta: 0:01:14 time: 0.0482 data_time: 0.0021 memory: 1231 2022/12/05 06:47:20 - mmengine - INFO - Epoch(val) [3][4840/6282] eta: 0:01:13 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 06:47:21 - mmengine - INFO - Epoch(val) [3][4860/6282] eta: 0:01:12 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 06:47:22 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:11 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 06:47:23 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:10 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 06:47:24 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:01:09 time: 0.0534 data_time: 0.0021 memory: 1237 2022/12/05 06:47:25 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:01:08 time: 0.0536 data_time: 0.0021 memory: 1237 2022/12/05 06:47:27 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:07 time: 0.0538 data_time: 0.0022 memory: 1237 2022/12/05 06:47:28 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:01:06 time: 0.0537 data_time: 0.0021 memory: 1237 2022/12/05 06:47:29 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:01:05 time: 0.0538 data_time: 0.0021 memory: 1237 2022/12/05 06:47:30 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:01:04 time: 0.0474 data_time: 0.0020 memory: 1237 2022/12/05 06:47:31 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:01:03 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 06:47:31 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:01:02 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 06:47:32 - mmengine - INFO - Epoch(val) [3][5080/6282] eta: 0:01:01 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 06:47:33 - mmengine - INFO - Epoch(val) [3][5100/6282] eta: 0:01:00 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 06:47:34 - mmengine - INFO - Epoch(val) [3][5120/6282] eta: 0:00:59 time: 0.0420 data_time: 0.0020 memory: 1122 2022/12/05 06:47:35 - mmengine - INFO - Epoch(val) [3][5140/6282] eta: 0:00:57 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:47:36 - mmengine - INFO - Epoch(val) [3][5160/6282] eta: 0:00:56 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:36 - mmengine - INFO - Epoch(val) [3][5180/6282] eta: 0:00:55 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 06:47:37 - mmengine - INFO - Epoch(val) [3][5200/6282] eta: 0:00:54 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:38 - mmengine - INFO - Epoch(val) 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eta: 0:00:45 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 06:47:46 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:00:44 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:46 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:43 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 06:47:47 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:00:42 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:48 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:41 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:49 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:40 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:50 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:39 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 06:47:51 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:00:38 time: 0.0439 data_time: 0.0019 memory: 1155 2022/12/05 06:47:52 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:00:37 time: 0.0449 data_time: 0.0020 memory: 1155 2022/12/05 06:47:52 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:36 time: 0.0448 data_time: 0.0020 memory: 1155 2022/12/05 06:47:53 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:00:35 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 06:47:54 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:00:34 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 06:47:55 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:00:33 time: 0.0427 data_time: 0.0019 memory: 1155 2022/12/05 06:47:56 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:00:32 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:47:57 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:31 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:58 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:30 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 06:47:58 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:29 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:47:59 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:28 time: 0.0438 data_time: 0.0019 memory: 1181 2022/12/05 06:48:00 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:27 time: 0.0467 data_time: 0.0020 memory: 1181 2022/12/05 06:48:01 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:26 time: 0.0468 data_time: 0.0020 memory: 1181 2022/12/05 06:48:02 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:25 time: 0.0472 data_time: 0.0020 memory: 1181 2022/12/05 06:48:03 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:24 time: 0.0469 data_time: 0.0020 memory: 1181 2022/12/05 06:48:04 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:23 time: 0.0460 data_time: 0.0021 memory: 1181 2022/12/05 06:48:05 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:22 time: 0.0448 data_time: 0.0020 memory: 1155 2022/12/05 06:48:06 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:21 time: 0.0448 data_time: 0.0020 memory: 1155 2022/12/05 06:48:07 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:20 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 06:48:08 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:00:19 time: 0.0449 data_time: 0.0020 memory: 1155 2022/12/05 06:48:08 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:00:18 time: 0.0429 data_time: 0.0020 memory: 1155 2022/12/05 06:48:09 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:17 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 06:48:10 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:16 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 06:48:11 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:00:14 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 06:48:12 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:14 time: 0.0505 data_time: 0.0021 memory: 1231 2022/12/05 06:48:13 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:13 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 06:48:14 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:12 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 06:48:15 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:11 time: 0.0543 data_time: 0.0028 memory: 1231 2022/12/05 06:48:16 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:00:10 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 06:48:17 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:09 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 06:48:18 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:08 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 06:48:20 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:07 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 06:48:21 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:06 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 06:48:22 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:05 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 06:48:23 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:04 time: 0.0534 data_time: 0.0022 memory: 1231 2022/12/05 06:48:24 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:03 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 06:48:25 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:02 time: 0.0532 data_time: 0.0020 memory: 1231 2022/12/05 06:48:26 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:01 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 06:48:27 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0530 data_time: 0.0018 memory: 1231 2022/12/05 06:53:53 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2981 2022/12/05 06:53:53 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2022/12/05 06:53:56 - mmengine - INFO - The best checkpoint with 0.2981 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2022/12/05 06:54:07 - mmengine - INFO - Epoch(train) [4][ 20/4451] lr: 9.6162e-02 eta: 4:17:10 time: 0.5532 data_time: 0.0599 memory: 16785 grad_norm: 0.0960 loss: 0.0197 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.9005 recall@top3: 0.8882 prec@top3: 0.7957 recall@top5: 0.9661 prec@top5: 0.5355 loss_action_cls: 0.0197 2022/12/05 06:54:17 - mmengine - INFO - Epoch(train) [4][ 40/4451] lr: 9.6128e-02 eta: 4:17:00 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1015 loss: 0.0192 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.4708 recall@top3: 0.7000 prec@top3: 0.5500 recall@top5: 0.9083 prec@top5: 0.4200 loss_action_cls: 0.0192 2022/12/05 06:54:27 - mmengine - INFO - Epoch(train) [4][ 60/4451] lr: 9.6094e-02 eta: 4:16:50 time: 0.4954 data_time: 0.0106 memory: 16785 grad_norm: 0.1050 loss: 0.0194 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7135 recall@top3: 0.8438 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0194 2022/12/05 06:54:37 - mmengine - INFO - Epoch(train) [4][ 80/4451] lr: 9.6059e-02 eta: 4:16:40 time: 0.4947 data_time: 0.0105 memory: 16785 grad_norm: 0.1040 loss: 0.0195 recall@thr=0.5: 0.6518 prec@thr=0.5: 0.7440 recall@top3: 0.7262 prec@top3: 0.6190 recall@top5: 0.8571 prec@top5: 0.4500 loss_action_cls: 0.0195 2022/12/05 06:54:47 - mmengine - INFO - Epoch(train) [4][ 100/4451] lr: 9.6025e-02 eta: 4:16:30 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.0964 loss: 0.0201 recall@thr=0.5: 0.8527 prec@thr=0.5: 0.9344 recall@top3: 0.8726 prec@top3: 0.8602 recall@top5: 0.9935 prec@top5: 0.6129 loss_action_cls: 0.0201 2022/12/05 06:54:57 - mmengine - INFO - Epoch(train) [4][ 120/4451] lr: 9.5991e-02 eta: 4:16:20 time: 0.4947 data_time: 0.0103 memory: 16785 grad_norm: 0.0973 loss: 0.0194 recall@thr=0.5: 0.8678 prec@thr=0.5: 0.7960 recall@top3: 0.9598 prec@top3: 0.6552 recall@top5: 0.9713 prec@top5: 0.4000 loss_action_cls: 0.0194 2022/12/05 06:55:07 - mmengine - INFO - Epoch(train) [4][ 140/4451] lr: 9.5956e-02 eta: 4:16:10 time: 0.4942 data_time: 0.0106 memory: 16785 grad_norm: 0.1044 loss: 0.0185 recall@thr=0.5: 0.7316 prec@thr=0.5: 0.7982 recall@top3: 0.8211 prec@top3: 0.5965 recall@top5: 0.9123 prec@top5: 0.4211 loss_action_cls: 0.0185 2022/12/05 06:55:17 - mmengine - INFO - Epoch(train) [4][ 160/4451] lr: 9.5921e-02 eta: 4:16:01 time: 0.4959 data_time: 0.0101 memory: 16785 grad_norm: 0.1007 loss: 0.0176 recall@thr=0.5: 0.6567 prec@thr=0.5: 0.7833 recall@top3: 0.7600 prec@top3: 0.7000 recall@top5: 0.9467 prec@top5: 0.5300 loss_action_cls: 0.0176 2022/12/05 06:55:26 - mmengine - INFO - Epoch(train) [4][ 180/4451] lr: 9.5886e-02 eta: 4:15:51 time: 0.4950 data_time: 0.0103 memory: 16785 grad_norm: 0.0981 loss: 0.0192 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7431 recall@top3: 0.8056 prec@top3: 0.6528 recall@top5: 0.8472 prec@top5: 0.4167 loss_action_cls: 0.0192 2022/12/05 06:55:36 - mmengine - INFO - Epoch(train) [4][ 200/4451] lr: 9.5851e-02 eta: 4:15:41 time: 0.4957 data_time: 0.0105 memory: 16785 grad_norm: 0.0998 loss: 0.0194 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8188 recall@top3: 0.8913 prec@top3: 0.6522 recall@top5: 0.9565 prec@top5: 0.4261 loss_action_cls: 0.0194 2022/12/05 06:55:46 - mmengine - INFO - Epoch(train) [4][ 220/4451] lr: 9.5816e-02 eta: 4:15:31 time: 0.4940 data_time: 0.0103 memory: 16785 grad_norm: 0.1066 loss: 0.0200 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8013 recall@top3: 0.8846 prec@top3: 0.6410 recall@top5: 0.9904 prec@top5: 0.4231 loss_action_cls: 0.0200 2022/12/05 06:55:56 - mmengine - INFO - Epoch(train) [4][ 240/4451] lr: 9.5780e-02 eta: 4:15:21 time: 0.5075 data_time: 0.0103 memory: 16785 grad_norm: 0.1033 loss: 0.0195 recall@thr=0.5: 0.6430 prec@thr=0.5: 0.6535 recall@top3: 0.7877 prec@top3: 0.5439 recall@top5: 0.9447 prec@top5: 0.4000 loss_action_cls: 0.0195 2022/12/05 06:56:06 - mmengine - INFO - Epoch(train) [4][ 260/4451] lr: 9.5745e-02 eta: 4:15:11 time: 0.4951 data_time: 0.0113 memory: 16785 grad_norm: 0.1032 loss: 0.0200 recall@thr=0.5: 0.4740 prec@thr=0.5: 0.4896 recall@top3: 0.7135 prec@top3: 0.4375 recall@top5: 0.8281 prec@top5: 0.3250 loss_action_cls: 0.0200 2022/12/05 06:56:16 - mmengine - INFO - Epoch(train) [4][ 280/4451] lr: 9.5709e-02 eta: 4:15:01 time: 0.4955 data_time: 0.0104 memory: 16785 grad_norm: 0.1015 loss: 0.0206 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.6316 recall@top3: 0.8596 prec@top3: 0.5965 recall@top5: 0.8860 prec@top5: 0.3789 loss_action_cls: 0.0206 2022/12/05 06:56:26 - mmengine - INFO - Epoch(train) [4][ 300/4451] lr: 9.5673e-02 eta: 4:14:52 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.1030 loss: 0.0194 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7308 recall@top3: 0.7949 prec@top3: 0.6410 recall@top5: 0.9423 prec@top5: 0.4692 loss_action_cls: 0.0194 2022/12/05 06:56:36 - mmengine - INFO - Epoch(train) [4][ 320/4451] lr: 9.5637e-02 eta: 4:14:42 time: 0.4971 data_time: 0.0119 memory: 16785 grad_norm: 0.0994 loss: 0.0197 recall@thr=0.5: 0.3200 prec@thr=0.5: 0.4000 recall@top3: 0.6633 prec@top3: 0.4400 recall@top5: 0.9067 prec@top5: 0.3920 loss_action_cls: 0.0197 2022/12/05 06:56:46 - mmengine - INFO - Epoch(train) [4][ 340/4451] lr: 9.5601e-02 eta: 4:14:32 time: 0.4955 data_time: 0.0107 memory: 16785 grad_norm: 0.1041 loss: 0.0196 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.4944 recall@top3: 0.7556 prec@top3: 0.4889 recall@top5: 0.9556 prec@top5: 0.3600 loss_action_cls: 0.0196 2022/12/05 06:56:56 - mmengine - INFO - Epoch(train) [4][ 360/4451] lr: 9.5565e-02 eta: 4:14:22 time: 0.4949 data_time: 0.0103 memory: 16785 grad_norm: 0.0995 loss: 0.0205 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8772 recall@top3: 0.9404 prec@top3: 0.6667 recall@top5: 0.9614 prec@top5: 0.4211 loss_action_cls: 0.0205 2022/12/05 06:57:06 - mmengine - INFO - Epoch(train) [4][ 380/4451] lr: 9.5528e-02 eta: 4:14:12 time: 0.4943 data_time: 0.0109 memory: 16785 grad_norm: 0.0995 loss: 0.0209 recall@thr=0.5: 0.4473 prec@thr=0.5: 0.5867 recall@top3: 0.6787 prec@top3: 0.5600 recall@top5: 0.8673 prec@top5: 0.4160 loss_action_cls: 0.0209 2022/12/05 06:57:16 - mmengine - INFO - Epoch(train) [4][ 400/4451] lr: 9.5492e-02 eta: 4:14:02 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1102 loss: 0.0227 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6154 recall@top3: 0.6282 prec@top3: 0.5641 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0227 2022/12/05 06:57:26 - mmengine - INFO - Epoch(train) [4][ 420/4451] lr: 9.5455e-02 eta: 4:13:52 time: 0.4948 data_time: 0.0107 memory: 16785 grad_norm: 0.1055 loss: 0.0177 recall@thr=0.5: 0.7596 prec@thr=0.5: 0.8462 recall@top3: 0.8237 prec@top3: 0.6795 recall@top5: 0.9038 prec@top5: 0.4692 loss_action_cls: 0.0177 2022/12/05 06:57:35 - mmengine - INFO - Epoch(train) [4][ 440/4451] lr: 9.5418e-02 eta: 4:13:42 time: 0.4949 data_time: 0.0106 memory: 16785 grad_norm: 0.1073 loss: 0.0197 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8246 recall@top3: 0.7895 prec@top3: 0.6316 recall@top5: 0.9079 prec@top5: 0.4632 loss_action_cls: 0.0197 2022/12/05 06:57:45 - mmengine - INFO - Epoch(train) [4][ 460/4451] lr: 9.5381e-02 eta: 4:13:32 time: 0.4943 data_time: 0.0106 memory: 16785 grad_norm: 0.0989 loss: 0.0222 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6373 recall@top3: 0.7402 prec@top3: 0.5882 recall@top5: 0.8676 prec@top5: 0.4353 loss_action_cls: 0.0222 2022/12/05 06:57:55 - mmengine - INFO - Epoch(train) [4][ 480/4451] lr: 9.5344e-02 eta: 4:13:22 time: 0.4947 data_time: 0.0106 memory: 16785 grad_norm: 0.1086 loss: 0.0203 recall@thr=0.5: 0.6312 prec@thr=0.5: 0.6935 recall@top3: 0.8000 prec@top3: 0.5161 recall@top5: 0.9172 prec@top5: 0.3806 loss_action_cls: 0.0203 2022/12/05 06:58:05 - mmengine - INFO - Epoch(train) [4][ 500/4451] lr: 9.5307e-02 eta: 4:13:12 time: 0.4947 data_time: 0.0104 memory: 16785 grad_norm: 0.1021 loss: 0.0196 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.9265 recall@top3: 0.8431 prec@top3: 0.7451 recall@top5: 0.9118 prec@top5: 0.4941 loss_action_cls: 0.0196 2022/12/05 06:58:15 - mmengine - INFO - Epoch(train) [4][ 520/4451] lr: 9.5270e-02 eta: 4:13:02 time: 0.4956 data_time: 0.0107 memory: 16785 grad_norm: 0.1031 loss: 0.0201 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7250 recall@top3: 0.7792 prec@top3: 0.6667 recall@top5: 0.9550 prec@top5: 0.5200 loss_action_cls: 0.0201 2022/12/05 06:58:25 - mmengine - INFO - Epoch(train) [4][ 540/4451] lr: 9.5232e-02 eta: 4:12:52 time: 0.4940 data_time: 0.0104 memory: 16785 grad_norm: 0.1032 loss: 0.0201 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.7639 recall@top3: 0.7778 prec@top3: 0.5972 recall@top5: 0.9271 prec@top5: 0.4417 loss_action_cls: 0.0201 2022/12/05 06:58:35 - mmengine - INFO - Epoch(train) [4][ 560/4451] lr: 9.5195e-02 eta: 4:12:42 time: 0.4951 data_time: 0.0103 memory: 16785 grad_norm: 0.0995 loss: 0.0195 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.6944 recall@top3: 0.9352 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0195 2022/12/05 06:58:45 - mmengine - INFO - Epoch(train) [4][ 580/4451] lr: 9.5157e-02 eta: 4:12:32 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.1025 loss: 0.0180 recall@thr=0.5: 0.5603 prec@thr=0.5: 0.6987 recall@top3: 0.7423 prec@top3: 0.6282 recall@top5: 0.7962 prec@top5: 0.4154 loss_action_cls: 0.0180 2022/12/05 06:58:55 - mmengine - INFO - Epoch(train) [4][ 600/4451] lr: 9.5119e-02 eta: 4:12:22 time: 0.4950 data_time: 0.0105 memory: 16785 grad_norm: 0.1046 loss: 0.0202 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.5965 recall@top3: 0.6579 prec@top3: 0.5263 recall@top5: 0.8772 prec@top5: 0.4316 loss_action_cls: 0.0202 2022/12/05 06:59:05 - mmengine - INFO - Epoch(train) [4][ 620/4451] lr: 9.5081e-02 eta: 4:12:13 time: 0.4950 data_time: 0.0106 memory: 16785 grad_norm: 0.1027 loss: 0.0182 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.6905 recall@top3: 0.7349 prec@top3: 0.5714 recall@top5: 0.9683 prec@top5: 0.4476 loss_action_cls: 0.0182 2022/12/05 06:59:14 - mmengine - INFO - Epoch(train) [4][ 640/4451] lr: 9.5042e-02 eta: 4:12:03 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.1026 loss: 0.0207 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5490 recall@top3: 0.6569 prec@top3: 0.4902 recall@top5: 0.8627 prec@top5: 0.3765 loss_action_cls: 0.0207 2022/12/05 06:59:18 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 06:59:24 - mmengine - INFO - Epoch(train) [4][ 660/4451] lr: 9.5004e-02 eta: 4:11:53 time: 0.4944 data_time: 0.0106 memory: 16785 grad_norm: 0.1045 loss: 0.0190 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.8667 recall@top3: 0.8100 prec@top3: 0.7000 recall@top5: 0.9308 prec@top5: 0.5000 loss_action_cls: 0.0190 2022/12/05 06:59:34 - mmengine - INFO - Epoch(train) [4][ 680/4451] lr: 9.4966e-02 eta: 4:11:43 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.1036 loss: 0.0218 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.8625 recall@top3: 0.8958 prec@top3: 0.7667 recall@top5: 0.9708 prec@top5: 0.5100 loss_action_cls: 0.0218 2022/12/05 06:59:44 - mmengine - INFO - Epoch(train) [4][ 700/4451] lr: 9.4927e-02 eta: 4:11:33 time: 0.4950 data_time: 0.0104 memory: 16785 grad_norm: 0.1009 loss: 0.0189 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6354 recall@top3: 0.8333 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0189 2022/12/05 06:59:54 - mmengine - INFO - Epoch(train) [4][ 720/4451] lr: 9.4888e-02 eta: 4:11:23 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.0992 loss: 0.0200 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8452 recall@top3: 0.7857 prec@top3: 0.6429 recall@top5: 0.9167 prec@top5: 0.4571 loss_action_cls: 0.0200 2022/12/05 07:00:04 - mmengine - INFO - Epoch(train) [4][ 740/4451] lr: 9.4849e-02 eta: 4:11:13 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.1054 loss: 0.0202 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7292 recall@top3: 0.7188 prec@top3: 0.4722 recall@top5: 0.8021 prec@top5: 0.3333 loss_action_cls: 0.0202 2022/12/05 07:00:14 - mmengine - INFO - Epoch(train) [4][ 760/4451] lr: 9.4810e-02 eta: 4:11:03 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.1008 loss: 0.0202 recall@thr=0.5: 0.6468 prec@thr=0.5: 0.7302 recall@top3: 0.8016 prec@top3: 0.6508 recall@top5: 0.8571 prec@top5: 0.4286 loss_action_cls: 0.0202 2022/12/05 07:00:24 - mmengine - INFO - Epoch(train) [4][ 780/4451] lr: 9.4771e-02 eta: 4:10:53 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1000 loss: 0.0200 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.7652 recall@top3: 0.9167 prec@top3: 0.6515 recall@top5: 0.9470 prec@top5: 0.4091 loss_action_cls: 0.0200 2022/12/05 07:00:34 - mmengine - INFO - Epoch(train) [4][ 800/4451] lr: 9.4732e-02 eta: 4:10:43 time: 0.4947 data_time: 0.0106 memory: 16785 grad_norm: 0.1071 loss: 0.0230 recall@thr=0.5: 0.3421 prec@thr=0.5: 0.5614 recall@top3: 0.7149 prec@top3: 0.4561 recall@top5: 0.9649 prec@top5: 0.3684 loss_action_cls: 0.0230 2022/12/05 07:00:44 - mmengine - INFO - Epoch(train) [4][ 820/4451] lr: 9.4692e-02 eta: 4:10:33 time: 0.4940 data_time: 0.0106 memory: 16785 grad_norm: 0.1018 loss: 0.0208 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7895 recall@top3: 0.8596 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0208 2022/12/05 07:00:53 - mmengine - INFO - Epoch(train) [4][ 840/4451] lr: 9.4652e-02 eta: 4:10:23 time: 0.4943 data_time: 0.0108 memory: 16785 grad_norm: 0.1017 loss: 0.0214 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7018 recall@top3: 0.7105 prec@top3: 0.3860 recall@top5: 0.9737 prec@top5: 0.3368 loss_action_cls: 0.0214 2022/12/05 07:01:03 - mmengine - INFO - Epoch(train) [4][ 860/4451] lr: 9.4613e-02 eta: 4:10:13 time: 0.4932 data_time: 0.0102 memory: 16785 grad_norm: 0.1007 loss: 0.0185 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7108 recall@top3: 0.8627 prec@top3: 0.5686 recall@top5: 0.9265 prec@top5: 0.3765 loss_action_cls: 0.0185 2022/12/05 07:01:13 - mmengine - INFO - Epoch(train) [4][ 880/4451] lr: 9.4573e-02 eta: 4:10:03 time: 0.4945 data_time: 0.0104 memory: 16785 grad_norm: 0.0960 loss: 0.0186 recall@thr=0.5: 0.5759 prec@thr=0.5: 0.6724 recall@top3: 0.7023 prec@top3: 0.5287 recall@top5: 0.9517 prec@top5: 0.4138 loss_action_cls: 0.0186 2022/12/05 07:01:23 - mmengine - INFO - Epoch(train) [4][ 900/4451] lr: 9.4533e-02 eta: 4:09:53 time: 0.4964 data_time: 0.0106 memory: 16785 grad_norm: 0.1055 loss: 0.0205 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8750 recall@top3: 0.8981 prec@top3: 0.6111 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0205 2022/12/05 07:01:33 - mmengine - INFO - Epoch(train) [4][ 920/4451] lr: 9.4493e-02 eta: 4:09:43 time: 0.4943 data_time: 0.0110 memory: 16785 grad_norm: 0.1098 loss: 0.0194 recall@thr=0.5: 0.8377 prec@thr=0.5: 0.7342 recall@top3: 0.8158 prec@top3: 0.7193 recall@top5: 0.9474 prec@top5: 0.5368 loss_action_cls: 0.0194 2022/12/05 07:01:43 - mmengine - INFO - Epoch(train) [4][ 940/4451] lr: 9.4452e-02 eta: 4:09:33 time: 0.4943 data_time: 0.0105 memory: 16785 grad_norm: 0.1011 loss: 0.0199 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.8551 recall@top3: 0.8913 prec@top3: 0.7101 recall@top5: 0.9783 prec@top5: 0.4609 loss_action_cls: 0.0199 2022/12/05 07:01:53 - mmengine - INFO - Epoch(train) [4][ 960/4451] lr: 9.4412e-02 eta: 4:09:23 time: 0.4949 data_time: 0.0104 memory: 16785 grad_norm: 0.1022 loss: 0.0195 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.8462 recall@top3: 0.8096 prec@top3: 0.7308 recall@top5: 0.9692 prec@top5: 0.5385 loss_action_cls: 0.0195 2022/12/05 07:02:03 - mmengine - INFO - Epoch(train) [4][ 980/4451] lr: 9.4371e-02 eta: 4:09:14 time: 0.4956 data_time: 0.0104 memory: 16785 grad_norm: 0.1000 loss: 0.0200 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6324 recall@top3: 0.7088 prec@top3: 0.5294 recall@top5: 0.7765 prec@top5: 0.3647 loss_action_cls: 0.0200 2022/12/05 07:02:13 - mmengine - INFO - Epoch(train) [4][1000/4451] lr: 9.4330e-02 eta: 4:09:04 time: 0.4952 data_time: 0.0104 memory: 16785 grad_norm: 0.0998 loss: 0.0196 recall@thr=0.5: 0.6156 prec@thr=0.5: 0.8656 recall@top3: 0.7366 prec@top3: 0.7312 recall@top5: 0.8710 prec@top5: 0.5290 loss_action_cls: 0.0196 2022/12/05 07:02:22 - mmengine - INFO - Epoch(train) [4][1020/4451] lr: 9.4290e-02 eta: 4:08:54 time: 0.4959 data_time: 0.0102 memory: 16785 grad_norm: 0.1047 loss: 0.0183 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7905 recall@top3: 0.7159 prec@top3: 0.6825 recall@top5: 0.8619 prec@top5: 0.4857 loss_action_cls: 0.0183 2022/12/05 07:02:32 - mmengine - INFO - Epoch(train) [4][1040/4451] lr: 9.4248e-02 eta: 4:08:44 time: 0.4950 data_time: 0.0103 memory: 16785 grad_norm: 0.0972 loss: 0.0199 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6917 recall@top3: 0.7042 prec@top3: 0.4500 recall@top5: 0.9500 prec@top5: 0.3900 loss_action_cls: 0.0199 2022/12/05 07:02:42 - mmengine - INFO - Epoch(train) [4][1060/4451] lr: 9.4207e-02 eta: 4:08:34 time: 0.4946 data_time: 0.0107 memory: 16785 grad_norm: 0.1018 loss: 0.0201 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7446 recall@top3: 0.8083 prec@top3: 0.6667 recall@top5: 0.9536 prec@top5: 0.5071 loss_action_cls: 0.0201 2022/12/05 07:02:52 - mmengine - INFO - Epoch(train) [4][1080/4451] lr: 9.4166e-02 eta: 4:08:24 time: 0.5044 data_time: 0.0104 memory: 16785 grad_norm: 0.0937 loss: 0.0170 recall@thr=0.5: 0.7104 prec@thr=0.5: 0.6875 recall@top3: 0.7417 prec@top3: 0.5000 recall@top5: 0.9438 prec@top5: 0.4000 loss_action_cls: 0.0170 2022/12/05 07:03:02 - mmengine - INFO - Epoch(train) [4][1100/4451] lr: 9.4125e-02 eta: 4:08:14 time: 0.4957 data_time: 0.0105 memory: 16785 grad_norm: 0.0998 loss: 0.0212 recall@thr=0.5: 0.6789 prec@thr=0.5: 0.7018 recall@top3: 0.8123 prec@top3: 0.5614 recall@top5: 0.8754 prec@top5: 0.3789 loss_action_cls: 0.0212 2022/12/05 07:03:12 - mmengine - INFO - Epoch(train) [4][1120/4451] lr: 9.4083e-02 eta: 4:08:05 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1023 loss: 0.0216 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7840 recall@top3: 0.7747 prec@top3: 0.6790 recall@top5: 0.9506 prec@top5: 0.5111 loss_action_cls: 0.0216 2022/12/05 07:03:22 - mmengine - INFO - Epoch(train) [4][1140/4451] lr: 9.4041e-02 eta: 4:07:55 time: 0.4943 data_time: 0.0108 memory: 16785 grad_norm: 0.1003 loss: 0.0196 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7604 recall@top3: 0.9167 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0196 2022/12/05 07:03:32 - mmengine - INFO - Epoch(train) [4][1160/4451] lr: 9.4000e-02 eta: 4:07:45 time: 0.4956 data_time: 0.0106 memory: 16785 grad_norm: 0.0961 loss: 0.0190 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6389 recall@top3: 0.7569 prec@top3: 0.5278 recall@top5: 0.9514 prec@top5: 0.3917 loss_action_cls: 0.0190 2022/12/05 07:03:42 - mmengine - INFO - Epoch(train) [4][1180/4451] lr: 9.3958e-02 eta: 4:07:35 time: 0.4950 data_time: 0.0103 memory: 16785 grad_norm: 0.1061 loss: 0.0209 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7000 recall@top3: 0.9333 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0209 2022/12/05 07:03:52 - mmengine - INFO - Epoch(train) [4][1200/4451] lr: 9.3915e-02 eta: 4:07:25 time: 0.4950 data_time: 0.0108 memory: 16785 grad_norm: 0.1049 loss: 0.0200 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8016 recall@top3: 0.7381 prec@top3: 0.6190 recall@top5: 0.9365 prec@top5: 0.4476 loss_action_cls: 0.0200 2022/12/05 07:04:02 - mmengine - INFO - Epoch(train) [4][1220/4451] lr: 9.3873e-02 eta: 4:07:15 time: 0.4941 data_time: 0.0106 memory: 16785 grad_norm: 0.1012 loss: 0.0198 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8056 recall@top3: 0.8426 prec@top3: 0.7222 recall@top5: 0.9352 prec@top5: 0.5000 loss_action_cls: 0.0198 2022/12/05 07:04:12 - mmengine - INFO - Epoch(train) [4][1240/4451] lr: 9.3831e-02 eta: 4:07:06 time: 0.5123 data_time: 0.0108 memory: 16785 grad_norm: 0.1057 loss: 0.0192 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.7647 recall@top3: 0.8137 prec@top3: 0.6863 recall@top5: 0.9216 prec@top5: 0.4941 loss_action_cls: 0.0192 2022/12/05 07:04:22 - mmengine - INFO - Epoch(train) [4][1260/4451] lr: 9.3788e-02 eta: 4:06:56 time: 0.4959 data_time: 0.0108 memory: 16785 grad_norm: 0.1001 loss: 0.0189 recall@thr=0.5: 0.6130 prec@thr=0.5: 0.7174 recall@top3: 0.7138 prec@top3: 0.6812 recall@top5: 0.9246 prec@top5: 0.5478 loss_action_cls: 0.0189 2022/12/05 07:04:32 - mmengine - INFO - Epoch(train) [4][1280/4451] lr: 9.3746e-02 eta: 4:06:46 time: 0.4962 data_time: 0.0107 memory: 16785 grad_norm: 0.1035 loss: 0.0196 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7667 recall@top3: 0.7222 prec@top3: 0.5778 recall@top5: 0.9222 prec@top5: 0.4400 loss_action_cls: 0.0196 2022/12/05 07:04:42 - mmengine - INFO - Epoch(train) [4][1300/4451] lr: 9.3703e-02 eta: 4:06:36 time: 0.4960 data_time: 0.0107 memory: 16785 grad_norm: 0.1035 loss: 0.0194 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.8333 recall@top3: 0.7562 prec@top3: 0.6420 recall@top5: 0.9074 prec@top5: 0.4667 loss_action_cls: 0.0194 2022/12/05 07:04:52 - mmengine - INFO - Epoch(train) [4][1320/4451] lr: 9.3660e-02 eta: 4:06:26 time: 0.5074 data_time: 0.0108 memory: 16785 grad_norm: 0.1002 loss: 0.0194 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.5965 recall@top3: 0.7105 prec@top3: 0.4912 recall@top5: 0.9737 prec@top5: 0.4105 loss_action_cls: 0.0194 2022/12/05 07:05:02 - mmengine - INFO - Epoch(train) [4][1340/4451] lr: 9.3617e-02 eta: 4:06:17 time: 0.4949 data_time: 0.0103 memory: 16785 grad_norm: 0.1085 loss: 0.0188 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.7421 recall@top3: 0.7103 prec@top3: 0.6349 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0188 2022/12/05 07:05:12 - mmengine - INFO - Epoch(train) [4][1360/4451] lr: 9.3574e-02 eta: 4:06:07 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.1030 loss: 0.0190 recall@thr=0.5: 0.5958 prec@thr=0.5: 0.6042 recall@top3: 0.9042 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3900 loss_action_cls: 0.0190 2022/12/05 07:05:22 - mmengine - INFO - Epoch(train) [4][1380/4451] lr: 9.3530e-02 eta: 4:05:57 time: 0.5046 data_time: 0.0107 memory: 16785 grad_norm: 0.1033 loss: 0.0193 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.6515 recall@top3: 0.7348 prec@top3: 0.6970 recall@top5: 0.8674 prec@top5: 0.5091 loss_action_cls: 0.0193 2022/12/05 07:05:32 - mmengine - INFO - Epoch(train) [4][1400/4451] lr: 9.3487e-02 eta: 4:05:47 time: 0.4954 data_time: 0.0104 memory: 16785 grad_norm: 0.1072 loss: 0.0188 recall@thr=0.5: 0.8152 prec@thr=0.5: 0.7862 recall@top3: 0.8696 prec@top3: 0.7391 recall@top5: 0.9529 prec@top5: 0.4957 loss_action_cls: 0.0188 2022/12/05 07:05:42 - mmengine - INFO - Epoch(train) [4][1420/4451] lr: 9.3443e-02 eta: 4:05:37 time: 0.4953 data_time: 0.0108 memory: 16785 grad_norm: 0.1015 loss: 0.0205 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.6222 recall@top3: 0.6127 prec@top3: 0.4444 recall@top5: 0.8524 prec@top5: 0.3905 loss_action_cls: 0.0205 2022/12/05 07:05:51 - mmengine - INFO - Epoch(train) [4][1440/4451] lr: 9.3399e-02 eta: 4:05:27 time: 0.4959 data_time: 0.0108 memory: 16785 grad_norm: 0.0963 loss: 0.0200 recall@thr=0.5: 0.7053 prec@thr=0.5: 0.8467 recall@top3: 0.8747 prec@top3: 0.5333 recall@top5: 0.9867 prec@top5: 0.3920 loss_action_cls: 0.0200 2022/12/05 07:06:01 - mmengine - INFO - Epoch(train) [4][1460/4451] lr: 9.3356e-02 eta: 4:05:17 time: 0.4949 data_time: 0.0106 memory: 16785 grad_norm: 0.1072 loss: 0.0188 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8611 recall@top3: 0.9286 prec@top3: 0.8571 recall@top5: 0.9563 prec@top5: 0.5333 loss_action_cls: 0.0188 2022/12/05 07:06:11 - mmengine - INFO - Epoch(train) [4][1480/4451] lr: 9.3312e-02 eta: 4:05:07 time: 0.4958 data_time: 0.0106 memory: 16785 grad_norm: 0.1003 loss: 0.0192 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.6583 recall@top3: 0.7167 prec@top3: 0.5333 recall@top5: 0.9667 prec@top5: 0.4300 loss_action_cls: 0.0192 2022/12/05 07:06:21 - mmengine - INFO - Epoch(train) [4][1500/4451] lr: 9.3267e-02 eta: 4:04:58 time: 0.4958 data_time: 0.0105 memory: 16785 grad_norm: 0.1030 loss: 0.0192 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.8375 recall@top3: 0.7625 prec@top3: 0.7500 recall@top5: 0.9000 prec@top5: 0.5200 loss_action_cls: 0.0192 2022/12/05 07:06:31 - mmengine - INFO - Epoch(train) [4][1520/4451] lr: 9.3223e-02 eta: 4:04:48 time: 0.4952 data_time: 0.0109 memory: 16785 grad_norm: 0.1008 loss: 0.0193 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.8690 recall@top3: 0.9286 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.4571 loss_action_cls: 0.0193 2022/12/05 07:06:41 - mmengine - INFO - Epoch(train) [4][1540/4451] lr: 9.3179e-02 eta: 4:04:38 time: 0.4953 data_time: 0.0108 memory: 16785 grad_norm: 0.1049 loss: 0.0206 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7647 recall@top3: 0.9020 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0206 2022/12/05 07:06:51 - mmengine - INFO - Epoch(train) [4][1560/4451] lr: 9.3134e-02 eta: 4:04:28 time: 0.4953 data_time: 0.0104 memory: 16785 grad_norm: 0.1090 loss: 0.0181 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.7807 recall@top3: 0.8684 prec@top3: 0.6491 recall@top5: 0.8947 prec@top5: 0.4000 loss_action_cls: 0.0181 2022/12/05 07:07:01 - mmengine - INFO - Epoch(train) [4][1580/4451] lr: 9.3089e-02 eta: 4:04:18 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1110 loss: 0.0207 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.9667 recall@top3: 0.9000 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0207 2022/12/05 07:07:11 - mmengine - INFO - Epoch(train) [4][1600/4451] lr: 9.3045e-02 eta: 4:04:08 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.0996 loss: 0.0189 recall@thr=0.5: 0.6207 prec@thr=0.5: 0.7184 recall@top3: 0.8736 prec@top3: 0.6667 recall@top5: 0.9598 prec@top5: 0.4552 loss_action_cls: 0.0189 2022/12/05 07:07:21 - mmengine - INFO - Epoch(train) [4][1620/4451] lr: 9.3000e-02 eta: 4:03:58 time: 0.4948 data_time: 0.0110 memory: 16785 grad_norm: 0.1030 loss: 0.0169 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.7750 recall@top3: 0.8417 prec@top3: 0.7833 recall@top5: 0.9500 prec@top5: 0.5300 loss_action_cls: 0.0169 2022/12/05 07:07:31 - mmengine - INFO - Epoch(train) [4][1640/4451] lr: 9.2955e-02 eta: 4:03:48 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.0996 loss: 0.0189 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.7899 recall@top3: 0.9094 prec@top3: 0.6087 recall@top5: 0.9783 prec@top5: 0.4087 loss_action_cls: 0.0189 2022/12/05 07:07:34 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 07:07:40 - mmengine - INFO - Epoch(train) [4][1660/4451] lr: 9.2909e-02 eta: 4:03:38 time: 0.4940 data_time: 0.0109 memory: 16785 grad_norm: 0.1015 loss: 0.0182 recall@thr=0.5: 0.8877 prec@thr=0.5: 0.8333 recall@top3: 0.8877 prec@top3: 0.6957 recall@top5: 0.9710 prec@top5: 0.4522 loss_action_cls: 0.0182 2022/12/05 07:07:50 - mmengine - INFO - Epoch(train) [4][1680/4451] lr: 9.2864e-02 eta: 4:03:28 time: 0.4959 data_time: 0.0104 memory: 16785 grad_norm: 0.1045 loss: 0.0203 recall@thr=0.5: 0.5865 prec@thr=0.5: 0.6859 recall@top3: 0.7949 prec@top3: 0.6154 recall@top5: 0.8846 prec@top5: 0.4231 loss_action_cls: 0.0203 2022/12/05 07:08:00 - mmengine - INFO - Epoch(train) [4][1700/4451] lr: 9.2819e-02 eta: 4:03:18 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.0996 loss: 0.0193 recall@thr=0.5: 0.6285 prec@thr=0.5: 0.7083 recall@top3: 0.8924 prec@top3: 0.6667 recall@top5: 0.9792 prec@top5: 0.4333 loss_action_cls: 0.0193 2022/12/05 07:08:10 - mmengine - INFO - Epoch(train) [4][1720/4451] lr: 9.2773e-02 eta: 4:03:08 time: 0.4956 data_time: 0.0107 memory: 16785 grad_norm: 0.1088 loss: 0.0194 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.8333 recall@top3: 0.8698 prec@top3: 0.6458 recall@top5: 0.8854 prec@top5: 0.4000 loss_action_cls: 0.0194 2022/12/05 07:08:20 - mmengine - INFO - Epoch(train) [4][1740/4451] lr: 9.2727e-02 eta: 4:02:58 time: 0.4959 data_time: 0.0107 memory: 16785 grad_norm: 0.0987 loss: 0.0198 recall@thr=0.5: 0.5542 prec@thr=0.5: 0.6736 recall@top3: 0.6792 prec@top3: 0.6111 recall@top5: 0.9035 prec@top5: 0.5000 loss_action_cls: 0.0198 2022/12/05 07:08:30 - mmengine - INFO - Epoch(train) [4][1760/4451] lr: 9.2681e-02 eta: 4:02:48 time: 0.4948 data_time: 0.0108 memory: 16785 grad_norm: 0.1034 loss: 0.0203 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.8333 recall@top3: 0.7992 prec@top3: 0.7879 recall@top5: 0.9318 prec@top5: 0.5545 loss_action_cls: 0.0203 2022/12/05 07:08:40 - mmengine - INFO - Epoch(train) [4][1780/4451] lr: 9.2635e-02 eta: 4:02:39 time: 0.4953 data_time: 0.0111 memory: 16785 grad_norm: 0.1015 loss: 0.0199 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.8095 recall@top3: 0.7183 prec@top3: 0.6032 recall@top5: 0.8849 prec@top5: 0.4286 loss_action_cls: 0.0199 2022/12/05 07:08:50 - mmengine - INFO - Epoch(train) [4][1800/4451] lr: 9.2589e-02 eta: 4:02:29 time: 0.4950 data_time: 0.0108 memory: 16785 grad_norm: 0.1028 loss: 0.0187 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.7246 recall@top3: 0.8768 prec@top3: 0.5652 recall@top5: 0.9565 prec@top5: 0.3826 loss_action_cls: 0.0187 2022/12/05 07:09:00 - mmengine - INFO - Epoch(train) [4][1820/4451] lr: 9.2543e-02 eta: 4:02:19 time: 0.4962 data_time: 0.0112 memory: 16785 grad_norm: 0.1063 loss: 0.0212 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.6765 recall@top3: 0.8431 prec@top3: 0.5490 recall@top5: 0.9412 prec@top5: 0.3765 loss_action_cls: 0.0212 2022/12/05 07:09:10 - mmengine - INFO - Epoch(train) [4][1840/4451] lr: 9.2496e-02 eta: 4:02:09 time: 0.4961 data_time: 0.0112 memory: 16785 grad_norm: 0.1006 loss: 0.0196 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8532 recall@top3: 0.8968 prec@top3: 0.7143 recall@top5: 0.9603 prec@top5: 0.4667 loss_action_cls: 0.0196 2022/12/05 07:09:20 - mmengine - INFO - Epoch(train) [4][1860/4451] lr: 9.2450e-02 eta: 4:01:59 time: 0.4952 data_time: 0.0105 memory: 16785 grad_norm: 0.0992 loss: 0.0203 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.6212 recall@top3: 0.7955 prec@top3: 0.4242 recall@top5: 0.9242 prec@top5: 0.3182 loss_action_cls: 0.0203 2022/12/05 07:09:30 - mmengine - INFO - Epoch(train) [4][1880/4451] lr: 9.2403e-02 eta: 4:01:50 time: 0.5093 data_time: 0.0107 memory: 16785 grad_norm: 0.0990 loss: 0.0187 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8571 recall@top3: 0.8413 prec@top3: 0.6349 recall@top5: 0.9841 prec@top5: 0.4476 loss_action_cls: 0.0187 2022/12/05 07:09:40 - mmengine - INFO - Epoch(train) [4][1900/4451] lr: 9.2356e-02 eta: 4:01:40 time: 0.4950 data_time: 0.0111 memory: 16785 grad_norm: 0.1066 loss: 0.0181 recall@thr=0.5: 0.7754 prec@thr=0.5: 0.6812 recall@top3: 0.8986 prec@top3: 0.6812 recall@top5: 0.9348 prec@top5: 0.4348 loss_action_cls: 0.0181 2022/12/05 07:09:50 - mmengine - INFO - Epoch(train) [4][1920/4451] lr: 9.2309e-02 eta: 4:01:30 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1008 loss: 0.0195 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8833 recall@top3: 0.8333 prec@top3: 0.6333 recall@top5: 0.9458 prec@top5: 0.4600 loss_action_cls: 0.0195 2022/12/05 07:09:59 - mmengine - INFO - Epoch(train) [4][1940/4451] lr: 9.2262e-02 eta: 4:01:20 time: 0.4947 data_time: 0.0107 memory: 16785 grad_norm: 0.1038 loss: 0.0201 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.8587 recall@top3: 0.9638 prec@top3: 0.6812 recall@top5: 1.0000 prec@top5: 0.4348 loss_action_cls: 0.0201 2022/12/05 07:10:09 - mmengine - INFO - Epoch(train) [4][1960/4451] lr: 9.2215e-02 eta: 4:01:10 time: 0.4966 data_time: 0.0114 memory: 16785 grad_norm: 0.0998 loss: 0.0186 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.9018 recall@top3: 0.9077 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0186 2022/12/05 07:10:19 - mmengine - INFO - Epoch(train) [4][1980/4451] lr: 9.2168e-02 eta: 4:01:00 time: 0.4952 data_time: 0.0103 memory: 16785 grad_norm: 0.1023 loss: 0.0183 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7500 recall@top3: 0.9167 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.3714 loss_action_cls: 0.0183 2022/12/05 07:10:29 - mmengine - INFO - Epoch(train) [4][2000/4451] lr: 9.2120e-02 eta: 4:00:50 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.0997 loss: 0.0185 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7353 recall@top3: 0.8922 prec@top3: 0.7059 recall@top5: 0.9559 prec@top5: 0.4706 loss_action_cls: 0.0185 2022/12/05 07:10:39 - mmengine - INFO - Epoch(train) [4][2020/4451] lr: 9.2073e-02 eta: 4:00:40 time: 0.4950 data_time: 0.0109 memory: 16785 grad_norm: 0.1016 loss: 0.0211 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7031 recall@top3: 0.7812 prec@top3: 0.5417 recall@top5: 0.9062 prec@top5: 0.3750 loss_action_cls: 0.0211 2022/12/05 07:10:49 - mmengine - INFO - Epoch(train) [4][2040/4451] lr: 9.2025e-02 eta: 4:00:30 time: 0.4958 data_time: 0.0105 memory: 16785 grad_norm: 0.1004 loss: 0.0199 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.8222 recall@top3: 0.7222 prec@top3: 0.6222 recall@top5: 0.9167 prec@top5: 0.5067 loss_action_cls: 0.0199 2022/12/05 07:10:59 - mmengine - INFO - Epoch(train) [4][2060/4451] lr: 9.1977e-02 eta: 4:00:20 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1006 loss: 0.0204 recall@thr=0.5: 0.7026 prec@thr=0.5: 0.8397 recall@top3: 0.7654 prec@top3: 0.8205 recall@top5: 0.8885 prec@top5: 0.5846 loss_action_cls: 0.0204 2022/12/05 07:11:09 - mmengine - INFO - Epoch(train) [4][2080/4451] lr: 9.1929e-02 eta: 4:00:10 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1049 loss: 0.0196 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.7500 recall@top3: 0.7381 prec@top3: 0.5952 recall@top5: 0.8095 prec@top5: 0.4000 loss_action_cls: 0.0196 2022/12/05 07:11:19 - mmengine - INFO - Epoch(train) [4][2100/4451] lr: 9.1881e-02 eta: 4:00:00 time: 0.4952 data_time: 0.0107 memory: 16785 grad_norm: 0.1021 loss: 0.0194 recall@thr=0.5: 0.5118 prec@thr=0.5: 0.6569 recall@top3: 0.6608 prec@top3: 0.6275 recall@top5: 0.9176 prec@top5: 0.4941 loss_action_cls: 0.0194 2022/12/05 07:11:29 - mmengine - INFO - Epoch(train) [4][2120/4451] lr: 9.1833e-02 eta: 3:59:51 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1013 loss: 0.0204 recall@thr=0.5: 0.7679 prec@thr=0.5: 0.7708 recall@top3: 0.8214 prec@top3: 0.7381 recall@top5: 0.9881 prec@top5: 0.5429 loss_action_cls: 0.0204 2022/12/05 07:11:39 - mmengine - INFO - Epoch(train) [4][2140/4451] lr: 9.1784e-02 eta: 3:59:41 time: 0.4950 data_time: 0.0105 memory: 16785 grad_norm: 0.1013 loss: 0.0190 recall@thr=0.5: 0.8778 prec@thr=0.5: 0.8667 recall@top3: 0.8778 prec@top3: 0.6889 recall@top5: 0.9667 prec@top5: 0.4667 loss_action_cls: 0.0190 2022/12/05 07:11:48 - mmengine - INFO - Epoch(train) [4][2160/4451] lr: 9.1736e-02 eta: 3:59:31 time: 0.4945 data_time: 0.0105 memory: 16785 grad_norm: 0.1061 loss: 0.0202 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7500 recall@top3: 0.7750 prec@top3: 0.6333 recall@top5: 0.9167 prec@top5: 0.4700 loss_action_cls: 0.0202 2022/12/05 07:11:58 - mmengine - INFO - Epoch(train) [4][2180/4451] lr: 9.1687e-02 eta: 3:59:21 time: 0.4945 data_time: 0.0108 memory: 16785 grad_norm: 0.1071 loss: 0.0200 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.7202 recall@top3: 0.8772 prec@top3: 0.6842 recall@top5: 0.9737 prec@top5: 0.4842 loss_action_cls: 0.0200 2022/12/05 07:12:08 - mmengine - INFO - Epoch(train) [4][2200/4451] lr: 9.1638e-02 eta: 3:59:11 time: 0.4954 data_time: 0.0104 memory: 16785 grad_norm: 0.0994 loss: 0.0182 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6974 recall@top3: 0.7544 prec@top3: 0.6842 recall@top5: 0.9123 prec@top5: 0.4737 loss_action_cls: 0.0182 2022/12/05 07:12:18 - mmengine - INFO - Epoch(train) [4][2220/4451] lr: 9.1589e-02 eta: 3:59:01 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1043 loss: 0.0197 recall@thr=0.5: 0.4881 prec@thr=0.5: 0.5238 recall@top3: 0.7024 prec@top3: 0.5000 recall@top5: 0.8571 prec@top5: 0.3714 loss_action_cls: 0.0197 2022/12/05 07:12:28 - mmengine - INFO - Epoch(train) [4][2240/4451] lr: 9.1540e-02 eta: 3:58:51 time: 0.4954 data_time: 0.0110 memory: 16785 grad_norm: 0.0980 loss: 0.0198 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8667 recall@top3: 0.8500 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4600 loss_action_cls: 0.0198 2022/12/05 07:12:38 - mmengine - INFO - Epoch(train) [4][2260/4451] lr: 9.1491e-02 eta: 3:58:41 time: 0.4958 data_time: 0.0104 memory: 16785 grad_norm: 0.0985 loss: 0.0186 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.9340 recall@top3: 0.8264 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4833 loss_action_cls: 0.0186 2022/12/05 07:12:48 - mmengine - INFO - Epoch(train) [4][2280/4451] lr: 9.1442e-02 eta: 3:58:31 time: 0.4951 data_time: 0.0107 memory: 16785 grad_norm: 0.1049 loss: 0.0212 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7470 recall@top3: 0.7173 prec@top3: 0.5952 recall@top5: 0.8214 prec@top5: 0.4286 loss_action_cls: 0.0212 2022/12/05 07:12:58 - mmengine - INFO - Epoch(train) [4][2300/4451] lr: 9.1392e-02 eta: 3:58:21 time: 0.4951 data_time: 0.0107 memory: 16785 grad_norm: 0.1043 loss: 0.0204 recall@thr=0.5: 0.6762 prec@thr=0.5: 0.7698 recall@top3: 0.7079 prec@top3: 0.5873 recall@top5: 0.8857 prec@top5: 0.4571 loss_action_cls: 0.0204 2022/12/05 07:13:08 - mmengine - INFO - Epoch(train) [4][2320/4451] lr: 9.1343e-02 eta: 3:58:11 time: 0.4951 data_time: 0.0108 memory: 16785 grad_norm: 0.1027 loss: 0.0200 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.5000 recall@top3: 0.7059 prec@top3: 0.4902 recall@top5: 0.8088 prec@top5: 0.3529 loss_action_cls: 0.0200 2022/12/05 07:13:18 - mmengine - INFO - Epoch(train) [4][2340/4451] lr: 9.1293e-02 eta: 3:58:01 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.0995 loss: 0.0199 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7361 recall@top3: 0.8681 prec@top3: 0.6389 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0199 2022/12/05 07:13:28 - mmengine - INFO - Epoch(train) [4][2360/4451] lr: 9.1243e-02 eta: 3:57:51 time: 0.4949 data_time: 0.0106 memory: 16785 grad_norm: 0.1002 loss: 0.0186 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8241 recall@top3: 0.8889 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.3778 loss_action_cls: 0.0186 2022/12/05 07:13:37 - mmengine - INFO - Epoch(train) [4][2380/4451] lr: 9.1193e-02 eta: 3:57:41 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1044 loss: 0.0199 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7333 recall@top3: 0.7222 prec@top3: 0.6222 recall@top5: 0.8778 prec@top5: 0.4533 loss_action_cls: 0.0199 2022/12/05 07:13:47 - mmengine - INFO - Epoch(train) [4][2400/4451] lr: 9.1143e-02 eta: 3:57:32 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.1031 loss: 0.0184 recall@thr=0.5: 0.6544 prec@thr=0.5: 0.7778 recall@top3: 0.7872 prec@top3: 0.6333 recall@top5: 0.8922 prec@top5: 0.4400 loss_action_cls: 0.0184 2022/12/05 07:13:57 - mmengine - INFO - Epoch(train) [4][2420/4451] lr: 9.1093e-02 eta: 3:57:22 time: 0.4950 data_time: 0.0106 memory: 16785 grad_norm: 0.1021 loss: 0.0209 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7281 recall@top3: 0.7544 prec@top3: 0.5789 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0209 2022/12/05 07:14:07 - mmengine - INFO - Epoch(train) [4][2440/4451] lr: 9.1043e-02 eta: 3:57:12 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1062 loss: 0.0179 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8750 recall@top3: 0.8438 prec@top3: 0.5208 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0179 2022/12/05 07:14:17 - mmengine - INFO - Epoch(train) [4][2460/4451] lr: 9.0992e-02 eta: 3:57:02 time: 0.4957 data_time: 0.0106 memory: 16785 grad_norm: 0.1025 loss: 0.0204 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7500 recall@top3: 0.7692 prec@top3: 0.5769 recall@top5: 0.9231 prec@top5: 0.4231 loss_action_cls: 0.0204 2022/12/05 07:14:27 - mmengine - INFO - Epoch(train) [4][2480/4451] lr: 9.0942e-02 eta: 3:56:52 time: 0.4953 data_time: 0.0107 memory: 16785 grad_norm: 0.1043 loss: 0.0179 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.6912 recall@top3: 0.8529 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0179 2022/12/05 07:14:37 - mmengine - INFO - Epoch(train) [4][2500/4451] lr: 9.0891e-02 eta: 3:56:42 time: 0.4963 data_time: 0.0107 memory: 16785 grad_norm: 0.1021 loss: 0.0190 recall@thr=0.5: 0.6306 prec@thr=0.5: 0.8153 recall@top3: 0.8491 prec@top3: 0.7748 recall@top5: 0.9910 prec@top5: 0.5568 loss_action_cls: 0.0190 2022/12/05 07:14:47 - mmengine - INFO - Epoch(train) [4][2520/4451] lr: 9.0840e-02 eta: 3:56:32 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1016 loss: 0.0195 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7204 recall@top3: 0.8102 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0195 2022/12/05 07:14:57 - mmengine - INFO - Epoch(train) [4][2540/4451] lr: 9.0789e-02 eta: 3:56:22 time: 0.4953 data_time: 0.0104 memory: 16785 grad_norm: 0.1055 loss: 0.0213 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6759 recall@top3: 0.7593 prec@top3: 0.5000 recall@top5: 0.9444 prec@top5: 0.3889 loss_action_cls: 0.0213 2022/12/05 07:15:07 - mmengine - INFO - Epoch(train) [4][2560/4451] lr: 9.0738e-02 eta: 3:56:12 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.0979 loss: 0.0191 recall@thr=0.5: 0.7465 prec@thr=0.5: 0.7917 recall@top3: 0.8507 prec@top3: 0.7917 recall@top5: 0.9514 prec@top5: 0.5417 loss_action_cls: 0.0191 2022/12/05 07:15:17 - mmengine - INFO - Epoch(train) [4][2580/4451] lr: 9.0687e-02 eta: 3:56:02 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1018 loss: 0.0202 recall@thr=0.5: 0.5132 prec@thr=0.5: 0.8158 recall@top3: 0.7412 prec@top3: 0.5965 recall@top5: 0.8509 prec@top5: 0.4211 loss_action_cls: 0.0202 2022/12/05 07:15:26 - mmengine - INFO - Epoch(train) [4][2600/4451] lr: 9.0636e-02 eta: 3:55:52 time: 0.4948 data_time: 0.0108 memory: 16785 grad_norm: 0.1017 loss: 0.0223 recall@thr=0.5: 0.4881 prec@thr=0.5: 0.7381 recall@top3: 0.6548 prec@top3: 0.4762 recall@top5: 0.7143 prec@top5: 0.3286 loss_action_cls: 0.0223 2022/12/05 07:15:36 - mmengine - INFO - Epoch(train) [4][2620/4451] lr: 9.0584e-02 eta: 3:55:43 time: 0.4958 data_time: 0.0115 memory: 16785 grad_norm: 0.0971 loss: 0.0209 recall@thr=0.5: 0.4035 prec@thr=0.5: 0.4123 recall@top3: 0.6491 prec@top3: 0.3333 recall@top5: 0.8158 prec@top5: 0.2526 loss_action_cls: 0.0209 2022/12/05 07:15:46 - mmengine - INFO - Epoch(train) [4][2640/4451] lr: 9.0533e-02 eta: 3:55:33 time: 0.4959 data_time: 0.0108 memory: 16785 grad_norm: 0.1057 loss: 0.0187 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.7576 recall@top3: 0.8485 prec@top3: 0.5909 recall@top5: 0.9394 prec@top5: 0.3909 loss_action_cls: 0.0187 2022/12/05 07:15:50 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 07:15:56 - mmengine - INFO - Epoch(train) [4][2660/4451] lr: 9.0481e-02 eta: 3:55:23 time: 0.4949 data_time: 0.0105 memory: 16785 grad_norm: 0.1015 loss: 0.0197 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8095 recall@top3: 0.8750 prec@top3: 0.5476 recall@top5: 0.9821 prec@top5: 0.4000 loss_action_cls: 0.0197 2022/12/05 07:16:06 - mmengine - INFO - Epoch(train) [4][2680/4451] lr: 9.0429e-02 eta: 3:55:13 time: 0.4955 data_time: 0.0109 memory: 16785 grad_norm: 0.1049 loss: 0.0213 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6583 recall@top3: 0.8500 prec@top3: 0.6333 recall@top5: 0.9583 prec@top5: 0.4400 loss_action_cls: 0.0213 2022/12/05 07:16:16 - mmengine - INFO - Epoch(train) [4][2700/4451] lr: 9.0377e-02 eta: 3:55:03 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.0988 loss: 0.0185 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6275 recall@top3: 0.9118 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4235 loss_action_cls: 0.0185 2022/12/05 07:16:26 - mmengine - INFO - Epoch(train) [4][2720/4451] lr: 9.0325e-02 eta: 3:54:53 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1006 loss: 0.0183 recall@thr=0.5: 0.5870 prec@thr=0.5: 0.8043 recall@top3: 0.8080 prec@top3: 0.6812 recall@top5: 0.9493 prec@top5: 0.4870 loss_action_cls: 0.0183 2022/12/05 07:16:36 - mmengine - INFO - Epoch(train) [4][2740/4451] lr: 9.0273e-02 eta: 3:54:43 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.0993 loss: 0.0204 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.9375 recall@top3: 0.8958 prec@top3: 0.7292 recall@top5: 0.9844 prec@top5: 0.4875 loss_action_cls: 0.0204 2022/12/05 07:16:46 - mmengine - INFO - Epoch(train) [4][2760/4451] lr: 9.0220e-02 eta: 3:54:33 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1006 loss: 0.0199 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.6051 recall@top3: 0.7174 prec@top3: 0.4493 recall@top5: 0.8696 prec@top5: 0.3391 loss_action_cls: 0.0199 2022/12/05 07:16:56 - mmengine - INFO - Epoch(train) [4][2780/4451] lr: 9.0168e-02 eta: 3:54:23 time: 0.4954 data_time: 0.0105 memory: 16785 grad_norm: 0.1029 loss: 0.0185 recall@thr=0.5: 0.7729 prec@thr=0.5: 0.8896 recall@top3: 0.8813 prec@top3: 0.7000 recall@top5: 0.9938 prec@top5: 0.4800 loss_action_cls: 0.0185 2022/12/05 07:17:06 - mmengine - INFO - Epoch(train) [4][2800/4451] lr: 9.0115e-02 eta: 3:54:13 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1028 loss: 0.0177 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.8467 recall@top3: 0.8333 prec@top3: 0.7467 recall@top5: 0.9267 prec@top5: 0.5040 loss_action_cls: 0.0177 2022/12/05 07:17:15 - mmengine - INFO - Epoch(train) [4][2820/4451] lr: 9.0063e-02 eta: 3:54:03 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1007 loss: 0.0181 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8250 recall@top3: 0.8375 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.5300 loss_action_cls: 0.0181 2022/12/05 07:17:25 - mmengine - INFO - Epoch(train) [4][2840/4451] lr: 9.0010e-02 eta: 3:53:53 time: 0.4953 data_time: 0.0110 memory: 16785 grad_norm: 0.1041 loss: 0.0218 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.5111 recall@top3: 0.6444 prec@top3: 0.4222 recall@top5: 0.8167 prec@top5: 0.3200 loss_action_cls: 0.0218 2022/12/05 07:17:35 - mmengine - INFO - Epoch(train) [4][2860/4451] lr: 8.9957e-02 eta: 3:53:44 time: 0.4955 data_time: 0.0110 memory: 16785 grad_norm: 0.0981 loss: 0.0194 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7717 recall@top3: 0.7754 prec@top3: 0.6232 recall@top5: 0.9348 prec@top5: 0.4522 loss_action_cls: 0.0194 2022/12/05 07:17:45 - mmengine - INFO - Epoch(train) [4][2880/4451] lr: 8.9904e-02 eta: 3:53:34 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1018 loss: 0.0199 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.4417 recall@top3: 0.8167 prec@top3: 0.4167 recall@top5: 0.8833 prec@top5: 0.2800 loss_action_cls: 0.0199 2022/12/05 07:17:55 - mmengine - INFO - Epoch(train) [4][2900/4451] lr: 8.9850e-02 eta: 3:53:24 time: 0.4956 data_time: 0.0106 memory: 16785 grad_norm: 0.1045 loss: 0.0212 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5980 recall@top3: 0.5980 prec@top3: 0.4510 recall@top5: 0.8431 prec@top5: 0.3647 loss_action_cls: 0.0212 2022/12/05 07:18:05 - mmengine - INFO - Epoch(train) [4][2920/4451] lr: 8.9797e-02 eta: 3:53:14 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1017 loss: 0.0197 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.7564 recall@top3: 0.8526 prec@top3: 0.6026 recall@top5: 0.9423 prec@top5: 0.4000 loss_action_cls: 0.0197 2022/12/05 07:18:15 - mmengine - INFO - Epoch(train) [4][2940/4451] lr: 8.9744e-02 eta: 3:53:04 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1068 loss: 0.0185 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.8056 recall@top3: 0.7593 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0185 2022/12/05 07:18:25 - mmengine - INFO - Epoch(train) [4][2960/4451] lr: 8.9690e-02 eta: 3:52:54 time: 0.4962 data_time: 0.0108 memory: 16785 grad_norm: 0.0984 loss: 0.0200 recall@thr=0.5: 0.8639 prec@thr=0.5: 0.9222 recall@top3: 0.8750 prec@top3: 0.8111 recall@top5: 0.9583 prec@top5: 0.5400 loss_action_cls: 0.0200 2022/12/05 07:18:35 - mmengine - INFO - Epoch(train) [4][2980/4451] lr: 8.9636e-02 eta: 3:52:44 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1007 loss: 0.0193 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.7803 recall@top3: 0.7629 prec@top3: 0.7273 recall@top5: 0.9212 prec@top5: 0.5455 loss_action_cls: 0.0193 2022/12/05 07:18:45 - mmengine - INFO - Epoch(train) [4][3000/4451] lr: 8.9582e-02 eta: 3:52:34 time: 0.4951 data_time: 0.0108 memory: 16785 grad_norm: 0.1010 loss: 0.0189 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7917 recall@top3: 0.9583 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3167 loss_action_cls: 0.0189 2022/12/05 07:18:55 - mmengine - INFO - Epoch(train) [4][3020/4451] lr: 8.9529e-02 eta: 3:52:24 time: 0.4951 data_time: 0.0105 memory: 16785 grad_norm: 0.1051 loss: 0.0200 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7421 recall@top3: 0.7460 prec@top3: 0.6984 recall@top5: 0.8651 prec@top5: 0.4857 loss_action_cls: 0.0200 2022/12/05 07:19:04 - mmengine - INFO - Epoch(train) [4][3040/4451] lr: 8.9474e-02 eta: 3:52:14 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.1027 loss: 0.0193 recall@thr=0.5: 0.9056 prec@thr=0.5: 0.8556 recall@top3: 0.9444 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0193 2022/12/05 07:19:14 - mmengine - INFO - Epoch(train) [4][3060/4451] lr: 8.9420e-02 eta: 3:52:04 time: 0.4954 data_time: 0.0103 memory: 16785 grad_norm: 0.1003 loss: 0.0186 recall@thr=0.5: 0.5990 prec@thr=0.5: 0.8437 recall@top3: 0.8724 prec@top3: 0.6771 recall@top5: 0.9531 prec@top5: 0.4500 loss_action_cls: 0.0186 2022/12/05 07:19:24 - mmengine - INFO - Epoch(train) [4][3080/4451] lr: 8.9366e-02 eta: 3:51:54 time: 0.4956 data_time: 0.0106 memory: 16785 grad_norm: 0.1055 loss: 0.0187 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8207 prec@top3: 0.6061 recall@top5: 0.8763 prec@top5: 0.4061 loss_action_cls: 0.0187 2022/12/05 07:19:34 - mmengine - INFO - Epoch(train) [4][3100/4451] lr: 8.9311e-02 eta: 3:51:44 time: 0.4948 data_time: 0.0109 memory: 16785 grad_norm: 0.0999 loss: 0.0184 recall@thr=0.5: 0.7272 prec@thr=0.5: 0.7562 recall@top3: 0.7296 prec@top3: 0.5556 recall@top5: 0.9235 prec@top5: 0.4741 loss_action_cls: 0.0184 2022/12/05 07:19:44 - mmengine - INFO - Epoch(train) [4][3120/4451] lr: 8.9257e-02 eta: 3:51:35 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1006 loss: 0.0186 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.6726 recall@top3: 0.8435 prec@top3: 0.6429 recall@top5: 0.9429 prec@top5: 0.4643 loss_action_cls: 0.0186 2022/12/05 07:19:54 - mmengine - INFO - Epoch(train) [4][3140/4451] lr: 8.9202e-02 eta: 3:51:25 time: 0.4951 data_time: 0.0108 memory: 16785 grad_norm: 0.1022 loss: 0.0168 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7111 recall@top3: 0.9333 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.3733 loss_action_cls: 0.0168 2022/12/05 07:20:04 - mmengine - INFO - Epoch(train) [4][3160/4451] lr: 8.9147e-02 eta: 3:51:15 time: 0.4953 data_time: 0.0108 memory: 16785 grad_norm: 0.1004 loss: 0.0203 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.7609 recall@top3: 0.8261 prec@top3: 0.6232 recall@top5: 0.8949 prec@top5: 0.4174 loss_action_cls: 0.0203 2022/12/05 07:20:14 - mmengine - INFO - Epoch(train) [4][3180/4451] lr: 8.9092e-02 eta: 3:51:05 time: 0.4964 data_time: 0.0107 memory: 16785 grad_norm: 0.0986 loss: 0.0210 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7892 recall@top3: 0.8235 prec@top3: 0.5490 recall@top5: 0.9706 prec@top5: 0.4000 loss_action_cls: 0.0210 2022/12/05 07:20:24 - mmengine - INFO - Epoch(train) [4][3200/4451] lr: 8.9037e-02 eta: 3:50:55 time: 0.4948 data_time: 0.0110 memory: 16785 grad_norm: 0.1001 loss: 0.0199 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.7133 recall@top3: 0.8400 prec@top3: 0.6667 recall@top5: 0.9867 prec@top5: 0.4880 loss_action_cls: 0.0199 2022/12/05 07:20:34 - mmengine - INFO - Epoch(train) [4][3220/4451] lr: 8.8982e-02 eta: 3:50:45 time: 0.4950 data_time: 0.0104 memory: 16785 grad_norm: 0.1047 loss: 0.0208 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6944 recall@top3: 0.7361 prec@top3: 0.5694 recall@top5: 0.9861 prec@top5: 0.4583 loss_action_cls: 0.0208 2022/12/05 07:20:44 - mmengine - INFO - Epoch(train) [4][3240/4451] lr: 8.8927e-02 eta: 3:50:35 time: 0.4950 data_time: 0.0105 memory: 16785 grad_norm: 0.1060 loss: 0.0212 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.8333 recall@top3: 0.7685 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.5222 loss_action_cls: 0.0212 2022/12/05 07:20:53 - mmengine - INFO - Epoch(train) [4][3260/4451] lr: 8.8871e-02 eta: 3:50:25 time: 0.4958 data_time: 0.0105 memory: 16785 grad_norm: 0.0993 loss: 0.0195 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5764 recall@top3: 0.6354 prec@top3: 0.5139 recall@top5: 0.8646 prec@top5: 0.4167 loss_action_cls: 0.0195 2022/12/05 07:21:03 - mmengine - INFO - Epoch(train) [4][3280/4451] lr: 8.8816e-02 eta: 3:50:15 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1011 loss: 0.0203 recall@thr=0.5: 0.6757 prec@thr=0.5: 0.8108 recall@top3: 0.7815 prec@top3: 0.7387 recall@top5: 0.9414 prec@top5: 0.5297 loss_action_cls: 0.0203 2022/12/05 07:21:13 - mmengine - INFO - Epoch(train) [4][3300/4451] lr: 8.8760e-02 eta: 3:50:05 time: 0.4967 data_time: 0.0115 memory: 16785 grad_norm: 0.1008 loss: 0.0199 recall@thr=0.5: 0.6494 prec@thr=0.5: 0.5920 recall@top3: 0.8908 prec@top3: 0.5057 recall@top5: 0.9598 prec@top5: 0.3310 loss_action_cls: 0.0199 2022/12/05 07:21:23 - mmengine - INFO - Epoch(train) [4][3320/4451] lr: 8.8704e-02 eta: 3:49:55 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.0975 loss: 0.0182 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5648 recall@top3: 0.7407 prec@top3: 0.5741 recall@top5: 0.9074 prec@top5: 0.4444 loss_action_cls: 0.0182 2022/12/05 07:21:33 - mmengine - INFO - Epoch(train) [4][3340/4451] lr: 8.8648e-02 eta: 3:49:45 time: 0.4947 data_time: 0.0109 memory: 16785 grad_norm: 0.1051 loss: 0.0177 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7870 recall@top3: 0.8287 prec@top3: 0.7593 recall@top5: 0.9537 prec@top5: 0.5556 loss_action_cls: 0.0177 2022/12/05 07:21:43 - mmengine - INFO - Epoch(train) [4][3360/4451] lr: 8.8592e-02 eta: 3:49:36 time: 0.4952 data_time: 0.0106 memory: 16785 grad_norm: 0.1041 loss: 0.0193 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7848 recall@top3: 0.8182 prec@top3: 0.7273 recall@top5: 0.9697 prec@top5: 0.5364 loss_action_cls: 0.0193 2022/12/05 07:21:53 - mmengine - INFO - Epoch(train) [4][3380/4451] lr: 8.8536e-02 eta: 3:49:26 time: 0.4955 data_time: 0.0108 memory: 16785 grad_norm: 0.1023 loss: 0.0200 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7381 recall@top3: 0.7857 prec@top3: 0.5238 recall@top5: 0.9206 prec@top5: 0.3714 loss_action_cls: 0.0200 2022/12/05 07:22:03 - mmengine - INFO - Epoch(train) [4][3400/4451] lr: 8.8480e-02 eta: 3:49:16 time: 0.4954 data_time: 0.0105 memory: 16785 grad_norm: 0.0984 loss: 0.0203 recall@thr=0.5: 0.6460 prec@thr=0.5: 0.7500 recall@top3: 0.7254 prec@top3: 0.6984 recall@top5: 0.8897 prec@top5: 0.5333 loss_action_cls: 0.0203 2022/12/05 07:22:13 - mmengine - INFO - Epoch(train) [4][3420/4451] lr: 8.8424e-02 eta: 3:49:06 time: 0.4957 data_time: 0.0106 memory: 16785 grad_norm: 0.0975 loss: 0.0181 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7500 recall@top3: 0.8667 prec@top3: 0.8000 recall@top5: 0.9708 prec@top5: 0.5400 loss_action_cls: 0.0181 2022/12/05 07:22:23 - mmengine - INFO - Epoch(train) [4][3440/4451] lr: 8.8367e-02 eta: 3:48:56 time: 0.4960 data_time: 0.0110 memory: 16785 grad_norm: 0.1083 loss: 0.0195 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7333 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0195 2022/12/05 07:22:33 - mmengine - INFO - Epoch(train) [4][3460/4451] lr: 8.8310e-02 eta: 3:48:46 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1007 loss: 0.0189 recall@thr=0.5: 0.5219 prec@thr=0.5: 0.5526 recall@top3: 0.7500 prec@top3: 0.5614 recall@top5: 0.7939 prec@top5: 0.3579 loss_action_cls: 0.0189 2022/12/05 07:22:43 - mmengine - INFO - Epoch(train) [4][3480/4451] lr: 8.8254e-02 eta: 3:48:36 time: 0.4955 data_time: 0.0105 memory: 16785 grad_norm: 0.1012 loss: 0.0196 recall@thr=0.5: 0.6797 prec@thr=0.5: 0.8406 recall@top3: 0.8094 prec@top3: 0.7246 recall@top5: 0.9464 prec@top5: 0.5217 loss_action_cls: 0.0196 2022/12/05 07:22:52 - mmengine - INFO - Epoch(train) [4][3500/4451] lr: 8.8197e-02 eta: 3:48:26 time: 0.4951 data_time: 0.0104 memory: 16785 grad_norm: 0.1005 loss: 0.0208 recall@thr=0.5: 0.4879 prec@thr=0.5: 0.5833 recall@top3: 0.7152 prec@top3: 0.6061 recall@top5: 0.8455 prec@top5: 0.4545 loss_action_cls: 0.0208 2022/12/05 07:23:02 - mmengine - INFO - Epoch(train) [4][3520/4451] lr: 8.8140e-02 eta: 3:48:16 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.0977 loss: 0.0198 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.5000 recall@top3: 0.9474 prec@top3: 0.5439 recall@top5: 1.0000 prec@top5: 0.3474 loss_action_cls: 0.0198 2022/12/05 07:23:12 - mmengine - INFO - Epoch(train) [4][3540/4451] lr: 8.8083e-02 eta: 3:48:06 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.0986 loss: 0.0188 recall@thr=0.5: 0.6476 prec@thr=0.5: 0.5914 recall@top3: 0.7167 prec@top3: 0.6190 recall@top5: 0.8905 prec@top5: 0.4343 loss_action_cls: 0.0188 2022/12/05 07:23:22 - mmengine - INFO - Epoch(train) [4][3560/4451] lr: 8.8025e-02 eta: 3:47:56 time: 0.4955 data_time: 0.0103 memory: 16785 grad_norm: 0.1016 loss: 0.0171 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.6111 recall@top3: 0.8175 prec@top3: 0.6190 recall@top5: 0.9603 prec@top5: 0.4667 loss_action_cls: 0.0171 2022/12/05 07:23:32 - mmengine - INFO - Epoch(train) [4][3580/4451] lr: 8.7968e-02 eta: 3:47:46 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1023 loss: 0.0198 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.9167 recall@top3: 0.8246 prec@top3: 0.8246 recall@top5: 0.9561 prec@top5: 0.5789 loss_action_cls: 0.0198 2022/12/05 07:23:42 - mmengine - INFO - Epoch(train) [4][3600/4451] lr: 8.7911e-02 eta: 3:47:37 time: 0.4952 data_time: 0.0114 memory: 16785 grad_norm: 0.0999 loss: 0.0198 recall@thr=0.5: 0.6300 prec@thr=0.5: 0.7667 recall@top3: 0.7758 prec@top3: 0.7500 recall@top5: 0.9500 prec@top5: 0.5700 loss_action_cls: 0.0198 2022/12/05 07:23:52 - mmengine - INFO - Epoch(train) [4][3620/4451] lr: 8.7853e-02 eta: 3:47:27 time: 0.4969 data_time: 0.0108 memory: 16785 grad_norm: 0.1037 loss: 0.0185 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8565 recall@top3: 0.9444 prec@top3: 0.7963 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0185 2022/12/05 07:24:02 - mmengine - INFO - Epoch(train) [4][3640/4451] lr: 8.7795e-02 eta: 3:47:17 time: 0.4959 data_time: 0.0109 memory: 16785 grad_norm: 0.1021 loss: 0.0194 recall@thr=0.5: 0.6268 prec@thr=0.5: 0.7609 recall@top3: 0.8732 prec@top3: 0.5942 recall@top5: 0.9058 prec@top5: 0.3739 loss_action_cls: 0.0194 2022/12/05 07:24:05 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 07:24:12 - mmengine - INFO - Epoch(train) [4][3660/4451] lr: 8.7738e-02 eta: 3:47:07 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1014 loss: 0.0187 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8917 recall@top3: 0.8444 prec@top3: 0.7778 recall@top5: 0.9806 prec@top5: 0.5600 loss_action_cls: 0.0187 2022/12/05 07:24:22 - mmengine - INFO - Epoch(train) [4][3680/4451] lr: 8.7680e-02 eta: 3:46:57 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1043 loss: 0.0195 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8452 recall@top3: 0.8810 prec@top3: 0.7619 recall@top5: 0.9226 prec@top5: 0.4857 loss_action_cls: 0.0195 2022/12/05 07:24:32 - mmengine - INFO - Epoch(train) [4][3700/4451] lr: 8.7622e-02 eta: 3:46:47 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1030 loss: 0.0194 recall@thr=0.5: 0.7476 prec@thr=0.5: 0.8095 recall@top3: 0.9063 prec@top3: 0.6349 recall@top5: 0.9762 prec@top5: 0.4381 loss_action_cls: 0.0194 2022/12/05 07:24:41 - mmengine - INFO - Epoch(train) [4][3720/4451] lr: 8.7563e-02 eta: 3:46:37 time: 0.4953 data_time: 0.0107 memory: 16785 grad_norm: 0.1029 loss: 0.0192 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7153 recall@top3: 0.7917 prec@top3: 0.5833 recall@top5: 0.8333 prec@top5: 0.3750 loss_action_cls: 0.0192 2022/12/05 07:24:51 - mmengine - INFO - Epoch(train) [4][3740/4451] lr: 8.7505e-02 eta: 3:46:27 time: 0.4947 data_time: 0.0105 memory: 16785 grad_norm: 0.1051 loss: 0.0200 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7885 recall@top3: 0.8628 prec@top3: 0.7051 recall@top5: 0.9699 prec@top5: 0.4846 loss_action_cls: 0.0200 2022/12/05 07:25:01 - mmengine - INFO - Epoch(train) [4][3760/4451] lr: 8.7447e-02 eta: 3:46:17 time: 0.4945 data_time: 0.0106 memory: 16785 grad_norm: 0.1036 loss: 0.0183 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.8611 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0183 2022/12/05 07:25:11 - mmengine - INFO - Epoch(train) [4][3780/4451] lr: 8.7388e-02 eta: 3:46:07 time: 0.4955 data_time: 0.0107 memory: 16785 grad_norm: 0.1028 loss: 0.0200 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6667 recall@top3: 0.7604 prec@top3: 0.5833 recall@top5: 0.8594 prec@top5: 0.4000 loss_action_cls: 0.0200 2022/12/05 07:25:21 - mmengine - INFO - Epoch(train) [4][3800/4451] lr: 8.7330e-02 eta: 3:45:57 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.0982 loss: 0.0176 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6250 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3500 loss_action_cls: 0.0176 2022/12/05 07:25:31 - mmengine - INFO - Epoch(train) [4][3820/4451] lr: 8.7271e-02 eta: 3:45:47 time: 0.4947 data_time: 0.0107 memory: 16785 grad_norm: 0.1063 loss: 0.0210 recall@thr=0.5: 0.8631 prec@thr=0.5: 0.8274 recall@top3: 0.9107 prec@top3: 0.7262 recall@top5: 0.9583 prec@top5: 0.4643 loss_action_cls: 0.0210 2022/12/05 07:25:41 - mmengine - INFO - Epoch(train) [4][3840/4451] lr: 8.7212e-02 eta: 3:45:38 time: 0.4950 data_time: 0.0105 memory: 16785 grad_norm: 0.1034 loss: 0.0208 recall@thr=0.5: 0.6772 prec@thr=0.5: 0.7544 recall@top3: 0.8193 prec@top3: 0.4737 recall@top5: 0.9614 prec@top5: 0.3579 loss_action_cls: 0.0208 2022/12/05 07:25:51 - mmengine - INFO - Epoch(train) [4][3860/4451] lr: 8.7153e-02 eta: 3:45:28 time: 0.4946 data_time: 0.0104 memory: 16785 grad_norm: 0.1024 loss: 0.0208 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.5556 recall@top3: 0.7222 prec@top3: 0.5556 recall@top5: 0.9000 prec@top5: 0.3867 loss_action_cls: 0.0208 2022/12/05 07:26:01 - mmengine - INFO - Epoch(train) [4][3880/4451] lr: 8.7094e-02 eta: 3:45:18 time: 0.4948 data_time: 0.0107 memory: 16785 grad_norm: 0.1064 loss: 0.0198 recall@thr=0.5: 0.7267 prec@thr=0.5: 0.8333 recall@top3: 0.8433 prec@top3: 0.5867 recall@top5: 0.9633 prec@top5: 0.3920 loss_action_cls: 0.0198 2022/12/05 07:26:11 - mmengine - INFO - Epoch(train) [4][3900/4451] lr: 8.7035e-02 eta: 3:45:08 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1015 loss: 0.0184 recall@thr=0.5: 0.8971 prec@thr=0.5: 0.9069 recall@top3: 0.9265 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.4706 loss_action_cls: 0.0184 2022/12/05 07:26:21 - mmengine - INFO - Epoch(train) [4][3920/4451] lr: 8.6975e-02 eta: 3:44:58 time: 0.4953 data_time: 0.0109 memory: 16785 grad_norm: 0.1042 loss: 0.0191 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7253 recall@top3: 0.8179 prec@top3: 0.6420 recall@top5: 0.8642 prec@top5: 0.4222 loss_action_cls: 0.0191 2022/12/05 07:26:31 - mmengine - INFO - Epoch(train) [4][3940/4451] lr: 8.6916e-02 eta: 3:44:48 time: 0.5033 data_time: 0.0109 memory: 16785 grad_norm: 0.1038 loss: 0.0194 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.7879 recall@top3: 0.8182 prec@top3: 0.6364 recall@top5: 0.9280 prec@top5: 0.4636 loss_action_cls: 0.0194 2022/12/05 07:26:40 - mmengine - INFO - Epoch(train) [4][3960/4451] lr: 8.6856e-02 eta: 3:44:38 time: 0.4950 data_time: 0.0110 memory: 16785 grad_norm: 0.0980 loss: 0.0204 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6583 recall@top3: 0.7433 prec@top3: 0.5667 recall@top5: 0.8300 prec@top5: 0.4000 loss_action_cls: 0.0204 2022/12/05 07:26:50 - mmengine - INFO - Epoch(train) [4][3980/4451] lr: 8.6797e-02 eta: 3:44:28 time: 0.4952 data_time: 0.0106 memory: 16785 grad_norm: 0.0984 loss: 0.0194 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8583 recall@top3: 0.9583 prec@top3: 0.6833 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0194 2022/12/05 07:27:00 - mmengine - INFO - Epoch(train) [4][4000/4451] lr: 8.6737e-02 eta: 3:44:18 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1035 loss: 0.0203 recall@thr=0.5: 0.8429 prec@thr=0.5: 0.8024 recall@top3: 0.8762 prec@top3: 0.6857 recall@top5: 0.9429 prec@top5: 0.4514 loss_action_cls: 0.0203 2022/12/05 07:27:10 - mmengine - INFO - Epoch(train) [4][4020/4451] lr: 8.6677e-02 eta: 3:44:08 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1070 loss: 0.0189 recall@thr=0.5: 0.5787 prec@thr=0.5: 0.7222 recall@top3: 0.9028 prec@top3: 0.6481 recall@top5: 0.9583 prec@top5: 0.4333 loss_action_cls: 0.0189 2022/12/05 07:27:20 - mmengine - INFO - Epoch(train) [4][4040/4451] lr: 8.6617e-02 eta: 3:43:59 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1004 loss: 0.0177 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.7804 recall@top3: 0.7797 prec@top3: 0.6667 recall@top5: 0.9638 prec@top5: 0.5130 loss_action_cls: 0.0177 2022/12/05 07:27:30 - mmengine - INFO - Epoch(train) [4][4060/4451] lr: 8.6557e-02 eta: 3:43:49 time: 0.4954 data_time: 0.0112 memory: 16785 grad_norm: 0.1090 loss: 0.0189 recall@thr=0.5: 0.4731 prec@thr=0.5: 0.5376 recall@top3: 0.7581 prec@top3: 0.5269 recall@top5: 0.8925 prec@top5: 0.3677 loss_action_cls: 0.0189 2022/12/05 07:27:40 - mmengine - INFO - Epoch(train) [4][4080/4451] lr: 8.6496e-02 eta: 3:43:39 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1012 loss: 0.0188 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5000 recall@top3: 0.8889 prec@top3: 0.4815 recall@top5: 1.0000 prec@top5: 0.3333 loss_action_cls: 0.0188 2022/12/05 07:27:50 - mmengine - INFO - Epoch(train) [4][4100/4451] lr: 8.6436e-02 eta: 3:43:29 time: 0.4962 data_time: 0.0107 memory: 16785 grad_norm: 0.1018 loss: 0.0209 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.5000 recall@top3: 0.7778 prec@top3: 0.5079 recall@top5: 0.9286 prec@top5: 0.3905 loss_action_cls: 0.0209 2022/12/05 07:28:00 - mmengine - INFO - Epoch(train) [4][4120/4451] lr: 8.6376e-02 eta: 3:43:19 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1031 loss: 0.0194 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7105 recall@top3: 0.7544 prec@top3: 0.5263 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.0194 2022/12/05 07:28:10 - mmengine - INFO - Epoch(train) [4][4140/4451] lr: 8.6315e-02 eta: 3:43:09 time: 0.4953 data_time: 0.0110 memory: 16785 grad_norm: 0.1040 loss: 0.0180 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8667 recall@top3: 0.8292 prec@top3: 0.8167 recall@top5: 0.9500 prec@top5: 0.5800 loss_action_cls: 0.0180 2022/12/05 07:28:20 - mmengine - INFO - Epoch(train) [4][4160/4451] lr: 8.6254e-02 eta: 3:42:59 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.1050 loss: 0.0207 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8264 recall@top3: 0.8715 prec@top3: 0.7917 recall@top5: 0.9236 prec@top5: 0.5083 loss_action_cls: 0.0207 2022/12/05 07:28:30 - mmengine - INFO - Epoch(train) [4][4180/4451] lr: 8.6194e-02 eta: 3:42:49 time: 0.4953 data_time: 0.0109 memory: 16785 grad_norm: 0.0999 loss: 0.0191 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8250 recall@top3: 0.8917 prec@top3: 0.5500 recall@top5: 0.9750 prec@top5: 0.3900 loss_action_cls: 0.0191 2022/12/05 07:28:39 - mmengine - INFO - Epoch(train) [4][4200/4451] lr: 8.6133e-02 eta: 3:42:39 time: 0.4963 data_time: 0.0108 memory: 16785 grad_norm: 0.0985 loss: 0.0190 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8730 recall@top3: 0.8254 prec@top3: 0.6032 recall@top5: 0.9762 prec@top5: 0.4571 loss_action_cls: 0.0190 2022/12/05 07:28:49 - mmengine - INFO - Epoch(train) [4][4220/4451] lr: 8.6072e-02 eta: 3:42:29 time: 0.4966 data_time: 0.0104 memory: 16785 grad_norm: 0.0960 loss: 0.0193 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.8509 recall@top3: 0.8596 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4105 loss_action_cls: 0.0193 2022/12/05 07:28:59 - mmengine - INFO - Epoch(train) [4][4240/4451] lr: 8.6010e-02 eta: 3:42:20 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1040 loss: 0.0175 recall@thr=0.5: 0.6549 prec@thr=0.5: 0.7598 recall@top3: 0.8490 prec@top3: 0.7647 recall@top5: 0.9353 prec@top5: 0.5294 loss_action_cls: 0.0175 2022/12/05 07:29:09 - mmengine - INFO - Epoch(train) [4][4260/4451] lr: 8.5949e-02 eta: 3:42:10 time: 0.4957 data_time: 0.0105 memory: 16785 grad_norm: 0.1075 loss: 0.0179 recall@thr=0.5: 0.5700 prec@thr=0.5: 0.7833 recall@top3: 0.7317 prec@top3: 0.7500 recall@top5: 0.9550 prec@top5: 0.6100 loss_action_cls: 0.0179 2022/12/05 07:29:19 - mmengine - INFO - Epoch(train) [4][4280/4451] lr: 8.5888e-02 eta: 3:42:00 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.0970 loss: 0.0177 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8481 recall@top3: 0.8111 prec@top3: 0.6481 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0177 2022/12/05 07:29:29 - mmengine - INFO - Epoch(train) [4][4300/4451] lr: 8.5826e-02 eta: 3:41:50 time: 0.4959 data_time: 0.0109 memory: 16785 grad_norm: 0.1098 loss: 0.0185 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.5833 recall@top3: 0.6288 prec@top3: 0.5000 recall@top5: 0.8333 prec@top5: 0.3818 loss_action_cls: 0.0185 2022/12/05 07:29:39 - mmengine - INFO - Epoch(train) [4][4320/4451] lr: 8.5765e-02 eta: 3:41:40 time: 0.4952 data_time: 0.0109 memory: 16785 grad_norm: 0.1023 loss: 0.0200 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.7745 recall@top3: 0.8627 prec@top3: 0.7255 recall@top5: 0.9314 prec@top5: 0.4824 loss_action_cls: 0.0200 2022/12/05 07:29:49 - mmengine - INFO - Epoch(train) [4][4340/4451] lr: 8.5703e-02 eta: 3:41:30 time: 0.4953 data_time: 0.0104 memory: 16785 grad_norm: 0.0986 loss: 0.0185 recall@thr=0.5: 0.6327 prec@thr=0.5: 0.7346 recall@top3: 0.7994 prec@top3: 0.5679 recall@top5: 0.9136 prec@top5: 0.3926 loss_action_cls: 0.0185 2022/12/05 07:29:59 - mmengine - INFO - Epoch(train) [4][4360/4451] lr: 8.5641e-02 eta: 3:41:20 time: 0.4961 data_time: 0.0108 memory: 16785 grad_norm: 0.0973 loss: 0.0205 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8182 recall@top3: 0.8485 prec@top3: 0.6515 recall@top5: 0.9015 prec@top5: 0.4182 loss_action_cls: 0.0205 2022/12/05 07:30:09 - mmengine - INFO - Epoch(train) [4][4380/4451] lr: 8.5579e-02 eta: 3:41:10 time: 0.4966 data_time: 0.0124 memory: 16785 grad_norm: 0.0990 loss: 0.0197 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7467 recall@top3: 0.9233 prec@top3: 0.7600 recall@top5: 0.9600 prec@top5: 0.4800 loss_action_cls: 0.0197 2022/12/05 07:30:19 - mmengine - INFO - Epoch(train) [4][4400/4451] lr: 8.5517e-02 eta: 3:41:00 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1079 loss: 0.0179 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.7174 recall@top3: 0.8447 prec@top3: 0.7273 recall@top5: 0.9621 prec@top5: 0.5000 loss_action_cls: 0.0179 2022/12/05 07:30:29 - mmengine - INFO - Epoch(train) [4][4420/4451] lr: 8.5455e-02 eta: 3:40:50 time: 0.4948 data_time: 0.0109 memory: 16785 grad_norm: 0.1069 loss: 0.0183 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.9206 recall@top3: 0.8611 prec@top3: 0.6984 recall@top5: 0.9683 prec@top5: 0.4857 loss_action_cls: 0.0183 2022/12/05 07:30:38 - mmengine - INFO - Epoch(train) [4][4440/4451] lr: 8.5393e-02 eta: 3:40:40 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1024 loss: 0.0201 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.8464 recall@top3: 0.8359 prec@top3: 0.7708 recall@top5: 0.9557 prec@top5: 0.5437 loss_action_cls: 0.0201 2022/12/05 07:30:44 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 07:30:44 - mmengine - INFO - Epoch(train) [4][4451/4451] lr: 8.5358e-02 eta: 3:40:35 time: 0.4893 data_time: 0.0111 memory: 16785 grad_norm: 0.0998 loss: 0.0180 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7143 recall@top3: 0.8452 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.4000 loss_action_cls: 0.0180 2022/12/05 07:30:44 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/12/05 07:30:48 - mmengine - INFO - Epoch(val) [4][ 20/6282] eta: 0:04:23 time: 0.0421 data_time: 0.0053 memory: 1088 2022/12/05 07:30:49 - mmengine - INFO - Epoch(val) [4][ 40/6282] eta: 0:04:08 time: 0.0375 data_time: 0.0019 memory: 1088 2022/12/05 07:30:50 - mmengine - INFO - Epoch(val) [4][ 60/6282] eta: 0:04:03 time: 0.0378 data_time: 0.0020 memory: 1088 2022/12/05 07:30:51 - mmengine - INFO - Epoch(val) [4][ 80/6282] eta: 0:04:00 time: 0.0376 data_time: 0.0017 memory: 1088 2022/12/05 07:30:51 - mmengine - INFO - Epoch(val) [4][ 100/6282] eta: 0:03:57 time: 0.0375 data_time: 0.0018 memory: 1088 2022/12/05 07:30:52 - mmengine - INFO - Epoch(val) [4][ 120/6282] eta: 0:04:07 time: 0.0482 data_time: 0.0023 memory: 1231 2022/12/05 07:30:53 - mmengine - INFO - Epoch(val) [4][ 140/6282] eta: 0:04:18 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 07:30:54 - mmengine - INFO - Epoch(val) [4][ 160/6282] eta: 0:04:26 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 07:30:56 - mmengine - INFO - Epoch(val) [4][ 180/6282] eta: 0:04:32 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 07:30:57 - mmengine - INFO - Epoch(val) [4][ 200/6282] eta: 0:04:36 time: 0.0523 data_time: 0.0021 memory: 1231 2022/12/05 07:30:57 - mmengine - INFO - Epoch(val) [4][ 220/6282] eta: 0:04:33 time: 0.0422 data_time: 0.0019 memory: 1113 2022/12/05 07:30:58 - mmengine - INFO - Epoch(val) [4][ 240/6282] eta: 0:04:31 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 07:30:59 - mmengine - INFO - Epoch(val) [4][ 260/6282] eta: 0:04:28 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:31:00 - mmengine - INFO - Epoch(val) [4][ 280/6282] eta: 0:04:26 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 07:31:01 - mmengine - INFO - Epoch(val) [4][ 300/6282] eta: 0:04:27 time: 0.0478 data_time: 0.0024 memory: 1231 2022/12/05 07:31:02 - mmengine - INFO - Epoch(val) [4][ 320/6282] eta: 0:04:29 time: 0.0540 data_time: 0.0021 memory: 1231 2022/12/05 07:31:03 - mmengine - INFO - Epoch(val) [4][ 340/6282] eta: 0:04:31 time: 0.0536 data_time: 0.0023 memory: 1231 2022/12/05 07:31:04 - mmengine - INFO - Epoch(val) [4][ 360/6282] eta: 0:04:33 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 07:31:05 - mmengine - INFO - Epoch(val) [4][ 380/6282] eta: 0:04:35 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 07:31:06 - mmengine - INFO - Epoch(val) [4][ 400/6282] eta: 0:04:34 time: 0.0476 data_time: 0.0020 memory: 1231 2022/12/05 07:31:07 - mmengine - INFO - Epoch(val) [4][ 420/6282] eta: 0:04:32 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 07:31:08 - mmengine - INFO - Epoch(val) [4][ 440/6282] eta: 0:04:30 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 07:31:09 - mmengine - INFO - Epoch(val) [4][ 460/6282] eta: 0:04:27 time: 0.0418 data_time: 0.0018 memory: 1122 2022/12/05 07:31:10 - mmengine - INFO - Epoch(val) [4][ 480/6282] eta: 0:04:26 time: 0.0418 data_time: 0.0018 memory: 1122 2022/12/05 07:31:10 - mmengine - INFO - Epoch(val) [4][ 500/6282] eta: 0:04:24 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 07:31:11 - mmengine - INFO - Epoch(val) [4][ 520/6282] eta: 0:04:22 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:31:12 - mmengine - INFO - Epoch(val) [4][ 540/6282] eta: 0:04:20 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 07:31:13 - mmengine - INFO - Epoch(val) [4][ 560/6282] eta: 0:04:19 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 07:31:14 - mmengine - INFO - Epoch(val) [4][ 580/6282] eta: 0:04:17 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:31:15 - mmengine - INFO - Epoch(val) [4][ 600/6282] eta: 0:04:15 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 07:31:15 - mmengine - INFO - Epoch(val) [4][ 620/6282] eta: 0:04:14 time: 0.0421 data_time: 0.0026 memory: 1113 2022/12/05 07:31:16 - mmengine - INFO - Epoch(val) [4][ 640/6282] eta: 0:04:12 time: 0.0399 data_time: 0.0015 memory: 1105 2022/12/05 07:31:17 - mmengine - INFO - Epoch(val) [4][ 660/6282] eta: 0:04:11 time: 0.0406 data_time: 0.0019 memory: 1105 2022/12/05 07:31:18 - mmengine - INFO - Epoch(val) [4][ 680/6282] eta: 0:04:09 time: 0.0406 data_time: 0.0019 memory: 1105 2022/12/05 07:31:19 - mmengine - INFO - Epoch(val) [4][ 700/6282] eta: 0:04:08 time: 0.0415 data_time: 0.0022 memory: 1105 2022/12/05 07:31:20 - mmengine - INFO - Epoch(val) [4][ 720/6282] eta: 0:04:10 time: 0.0645 data_time: 0.0165 memory: 1231 2022/12/05 07:31:22 - mmengine - INFO - Epoch(val) [4][ 740/6282] eta: 0:04:16 time: 0.0926 data_time: 0.0403 memory: 1231 2022/12/05 07:31:23 - mmengine - INFO - Epoch(val) [4][ 760/6282] eta: 0:04:20 time: 0.0776 data_time: 0.0259 memory: 1231 2022/12/05 07:31:25 - mmengine - INFO - Epoch(val) [4][ 780/6282] eta: 0:04:20 time: 0.0585 data_time: 0.0069 memory: 1231 2022/12/05 07:31:26 - mmengine - INFO - Epoch(val) [4][ 800/6282] eta: 0:04:20 time: 0.0533 data_time: 0.0018 memory: 1231 2022/12/05 07:31:27 - mmengine - INFO - Epoch(val) [4][ 820/6282] eta: 0:04:19 time: 0.0469 data_time: 0.0020 memory: 1231 2022/12/05 07:31:27 - mmengine - INFO - Epoch(val) [4][ 840/6282] eta: 0:04:17 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:31:28 - mmengine - INFO - Epoch(val) [4][ 860/6282] eta: 0:04:16 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 07:31:29 - mmengine - INFO - Epoch(val) [4][ 880/6282] eta: 0:04:14 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 07:31:30 - mmengine - INFO - Epoch(val) [4][ 900/6282] eta: 0:04:13 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 07:31:31 - mmengine - INFO - Epoch(val) [4][ 920/6282] eta: 0:04:11 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 07:31:31 - mmengine - INFO - Epoch(val) [4][ 940/6282] eta: 0:04:09 time: 0.0377 data_time: 0.0019 memory: 1088 2022/12/05 07:31:32 - mmengine - INFO - Epoch(val) [4][ 960/6282] eta: 0:04:07 time: 0.0378 data_time: 0.0020 memory: 1088 2022/12/05 07:31:33 - mmengine - INFO - Epoch(val) [4][ 980/6282] eta: 0:04:05 time: 0.0375 data_time: 0.0018 memory: 1088 2022/12/05 07:31:34 - mmengine - INFO - Epoch(val) [4][1000/6282] eta: 0:04:03 time: 0.0375 data_time: 0.0018 memory: 1088 2022/12/05 07:31:35 - mmengine - INFO - Epoch(val) [4][1020/6282] eta: 0:04:02 time: 0.0381 data_time: 0.0022 memory: 1113 2022/12/05 07:31:35 - mmengine - INFO - Epoch(val) [4][1040/6282] eta: 0:04:00 time: 0.0415 data_time: 0.0018 memory: 1113 2022/12/05 07:31:36 - mmengine - INFO - Epoch(val) [4][1060/6282] eta: 0:03:59 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 07:31:37 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:03:58 time: 0.0421 data_time: 0.0024 memory: 1113 2022/12/05 07:31:38 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:03:56 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 07:31:39 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:03:55 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 07:31:40 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:03:54 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 07:31:40 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:03:53 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 07:31:41 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:03:51 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 07:31:42 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:03:50 time: 0.0426 data_time: 0.0020 memory: 1113 2022/12/05 07:31:43 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:03:49 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 07:31:44 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:03:51 time: 0.0778 data_time: 0.0266 memory: 1231 2022/12/05 07:31:46 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:03:52 time: 0.0776 data_time: 0.0257 memory: 1231 2022/12/05 07:31:48 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:03:55 time: 0.0857 data_time: 0.0340 memory: 1231 2022/12/05 07:31:49 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:03:56 time: 0.0761 data_time: 0.0244 memory: 1231 2022/12/05 07:31:51 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:03:58 time: 0.0905 data_time: 0.0390 memory: 1231 2022/12/05 07:31:53 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:03:59 time: 0.0757 data_time: 0.0233 memory: 1231 2022/12/05 07:31:54 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:04:01 time: 0.0917 data_time: 0.0399 memory: 1231 2022/12/05 07:31:56 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:04:02 time: 0.0751 data_time: 0.0236 memory: 1231 2022/12/05 07:31:57 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:04:02 time: 0.0677 data_time: 0.0163 memory: 1231 2022/12/05 07:31:58 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:04:02 time: 0.0536 data_time: 0.0019 memory: 1231 2022/12/05 07:31:59 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:04:01 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 07:32:01 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:04:00 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 07:32:02 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:04:00 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 07:32:03 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:03:59 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 07:32:04 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:03:58 time: 0.0546 data_time: 0.0022 memory: 1404 2022/12/05 07:32:05 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:03:58 time: 0.0681 data_time: 0.0024 memory: 1404 2022/12/05 07:32:07 - mmengine - INFO - Epoch(val) [4][1560/6282] eta: 0:03:58 time: 0.0684 data_time: 0.0026 memory: 1404 2022/12/05 07:32:08 - mmengine - INFO - Epoch(val) [4][1580/6282] eta: 0:03:58 time: 0.0682 data_time: 0.0026 memory: 1404 2022/12/05 07:32:09 - mmengine - INFO - Epoch(val) [4][1600/6282] eta: 0:03:58 time: 0.0680 data_time: 0.0025 memory: 1404 2022/12/05 07:32:11 - mmengine - INFO - Epoch(val) [4][1620/6282] eta: 0:03:58 time: 0.0687 data_time: 0.0031 memory: 1404 2022/12/05 07:32:12 - mmengine - INFO - Epoch(val) [4][1640/6282] eta: 0:03:57 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 07:32:13 - mmengine - INFO - Epoch(val) [4][1660/6282] eta: 0:03:56 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 07:32:14 - mmengine - INFO - Epoch(val) [4][1680/6282] eta: 0:03:56 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 07:32:15 - mmengine - INFO - Epoch(val) [4][1700/6282] eta: 0:03:55 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 07:32:16 - mmengine - INFO - Epoch(val) [4][1720/6282] eta: 0:03:54 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 07:32:17 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:03:53 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 07:32:18 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:03:52 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 07:32:19 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:03:51 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 07:32:20 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:03:50 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 07:32:21 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:03:49 time: 0.0544 data_time: 0.0023 memory: 1231 2022/12/05 07:32:22 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:03:48 time: 0.0548 data_time: 0.0025 memory: 1231 2022/12/05 07:32:24 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:03:48 time: 0.0738 data_time: 0.0211 memory: 1231 2022/12/05 07:32:25 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:03:49 time: 0.0765 data_time: 0.0241 memory: 1231 2022/12/05 07:32:27 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:03:49 time: 0.0796 data_time: 0.0269 memory: 1231 2022/12/05 07:32:28 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:03:48 time: 0.0609 data_time: 0.0089 memory: 1231 2022/12/05 07:32:29 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:03:47 time: 0.0510 data_time: 0.0021 memory: 1231 2022/12/05 07:32:30 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:03:45 time: 0.0418 data_time: 0.0018 memory: 1122 2022/12/05 07:32:31 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:03:44 time: 0.0424 data_time: 0.0019 memory: 1122 2022/12/05 07:32:32 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:03:42 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 07:32:33 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:03:41 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 07:32:34 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:03:40 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 07:32:34 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:03:38 time: 0.0423 data_time: 0.0023 memory: 1122 2022/12/05 07:32:35 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:03:37 time: 0.0417 data_time: 0.0017 memory: 1122 2022/12/05 07:32:36 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:03:35 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 07:32:37 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:03:34 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 07:32:38 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:03:32 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 07:32:39 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:03:31 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:32:39 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:03:30 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 07:32:40 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:03:28 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 07:32:41 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:03:27 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 07:32:42 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:03:26 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 07:32:43 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:03:24 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 07:32:44 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:03:23 time: 0.0423 data_time: 0.0022 memory: 1122 2022/12/05 07:32:44 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:03:22 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 07:32:45 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:03:20 time: 0.0422 data_time: 0.0021 memory: 1122 2022/12/05 07:32:46 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:03:19 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 07:32:47 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:03:18 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 07:32:48 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:03:16 time: 0.0420 data_time: 0.0021 memory: 1113 2022/12/05 07:32:49 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:03:15 time: 0.0421 data_time: 0.0022 memory: 1113 2022/12/05 07:32:50 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:03:14 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 07:32:50 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:03:13 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 07:32:51 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:03:12 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 07:32:53 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:03:11 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 07:32:54 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:03:10 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 07:32:55 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:03:09 time: 0.0556 data_time: 0.0027 memory: 1231 2022/12/05 07:32:56 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:03:08 time: 0.0550 data_time: 0.0026 memory: 1231 2022/12/05 07:32:57 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:03:08 time: 0.0700 data_time: 0.0175 memory: 1231 2022/12/05 07:32:59 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:03:08 time: 0.0920 data_time: 0.0398 memory: 1231 2022/12/05 07:33:01 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:03:08 time: 0.0778 data_time: 0.0256 memory: 1231 2022/12/05 07:33:02 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:03:08 time: 0.0845 data_time: 0.0325 memory: 1231 2022/12/05 07:33:03 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:03:07 time: 0.0561 data_time: 0.0041 memory: 1231 2022/12/05 07:33:05 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:03:06 time: 0.0664 data_time: 0.0022 memory: 1388 2022/12/05 07:33:06 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:03:05 time: 0.0665 data_time: 0.0024 memory: 1388 2022/12/05 07:33:07 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:03:05 time: 0.0667 data_time: 0.0027 memory: 1388 2022/12/05 07:33:09 - mmengine - INFO - Epoch(val) [4][2720/6282] eta: 0:03:04 time: 0.0667 data_time: 0.0025 memory: 1388 2022/12/05 07:33:10 - mmengine - INFO - Epoch(val) [4][2740/6282] eta: 0:03:03 time: 0.0630 data_time: 0.0024 memory: 1388 2022/12/05 07:33:11 - mmengine - INFO - Epoch(val) [4][2760/6282] eta: 0:03:02 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 07:33:12 - mmengine - INFO - Epoch(val) [4][2780/6282] eta: 0:03:01 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 07:33:13 - mmengine - INFO - Epoch(val) [4][2800/6282] eta: 0:03:00 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 07:33:13 - mmengine - INFO - Epoch(val) [4][2820/6282] eta: 0:02:58 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 07:33:14 - mmengine - INFO - Epoch(val) [4][2840/6282] eta: 0:02:57 time: 0.0433 data_time: 0.0027 memory: 1122 2022/12/05 07:33:15 - mmengine - INFO - Epoch(val) [4][2860/6282] eta: 0:02:56 time: 0.0508 data_time: 0.0024 memory: 1231 2022/12/05 07:33:16 - mmengine - INFO - Epoch(val) [4][2880/6282] eta: 0:02:55 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 07:33:17 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:02:54 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 07:33:18 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:02:53 time: 0.0479 data_time: 0.0020 memory: 1231 2022/12/05 07:33:19 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:02:52 time: 0.0461 data_time: 0.0021 memory: 1170 2022/12/05 07:33:20 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:02:51 time: 0.0460 data_time: 0.0020 memory: 1170 2022/12/05 07:33:21 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:02:49 time: 0.0460 data_time: 0.0020 memory: 1170 2022/12/05 07:33:22 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:02:48 time: 0.0462 data_time: 0.0021 memory: 1170 2022/12/05 07:33:23 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:02:47 time: 0.0534 data_time: 0.0023 memory: 1231 2022/12/05 07:33:24 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:02:46 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 07:33:25 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:02:45 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 07:33:26 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:02:44 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 07:33:27 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:02:43 time: 0.0480 data_time: 0.0021 memory: 1231 2022/12/05 07:33:28 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:02:42 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 07:33:29 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:02:41 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 07:33:30 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:02:40 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 07:33:31 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:02:38 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 07:33:32 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:02:37 time: 0.0503 data_time: 0.0022 memory: 1231 2022/12/05 07:33:33 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:02:36 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 07:33:34 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:02:35 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 07:33:35 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:02:34 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 07:33:36 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:02:34 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 07:33:37 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:02:33 time: 0.0542 data_time: 0.0022 memory: 1231 2022/12/05 07:33:38 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:02:32 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 07:33:39 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:02:31 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 07:33:40 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:02:30 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 07:33:41 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:02:29 time: 0.0500 data_time: 0.0021 memory: 1231 2022/12/05 07:33:42 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:02:27 time: 0.0418 data_time: 0.0018 memory: 1113 2022/12/05 07:33:43 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:02:26 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 07:33:44 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:02:25 time: 0.0419 data_time: 0.0021 memory: 1113 2022/12/05 07:33:45 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:02:24 time: 0.0424 data_time: 0.0020 memory: 1113 2022/12/05 07:33:46 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:02:23 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 07:33:46 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:02:21 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 07:33:47 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:02:20 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 07:33:48 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:02:19 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 07:33:49 - mmengine - INFO 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eta: 0:02:02 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 07:34:07 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:02:01 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 07:34:08 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:02:00 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 07:34:09 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:01:59 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 07:34:10 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:01:58 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 07:34:11 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:01:57 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 07:34:12 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:01:56 time: 0.0536 data_time: 0.0023 memory: 1231 2022/12/05 07:34:13 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:01:55 time: 0.0536 data_time: 0.0023 memory: 1231 2022/12/05 07:34:14 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:01:54 time: 0.0554 data_time: 0.0021 memory: 1388 2022/12/05 07:34:16 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:01:53 time: 0.0664 data_time: 0.0023 memory: 1388 2022/12/05 07:34:17 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:01:52 time: 0.0661 data_time: 0.0023 memory: 1388 2022/12/05 07:34:18 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:01:51 time: 0.0662 data_time: 0.0024 memory: 1388 2022/12/05 07:34:20 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:01:51 time: 0.0660 data_time: 0.0023 memory: 1388 2022/12/05 07:34:21 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:01:50 time: 0.0564 data_time: 0.0022 memory: 1388 2022/12/05 07:34:22 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:01:48 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 07:34:22 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:01:47 time: 0.0434 data_time: 0.0019 memory: 1113 2022/12/05 07:34:23 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:01:46 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 07:34:24 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:01:45 time: 0.0417 data_time: 0.0020 memory: 1113 2022/12/05 07:34:25 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:01:44 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 07:34:26 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:01:43 time: 0.0423 data_time: 0.0026 memory: 1111 2022/12/05 07:34:27 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:01:42 time: 0.0417 data_time: 0.0020 memory: 1111 2022/12/05 07:34:28 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:01:41 time: 0.0418 data_time: 0.0020 memory: 1111 2022/12/05 07:34:28 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:01:40 time: 0.0416 data_time: 0.0019 memory: 1111 2022/12/05 07:34:29 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:01:38 time: 0.0416 data_time: 0.0019 memory: 1111 2022/12/05 07:34:30 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:01:37 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 07:34:31 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:01:36 time: 0.0532 data_time: 0.0020 memory: 1231 2022/12/05 07:34:32 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:01:35 time: 0.0539 data_time: 0.0021 memory: 1231 2022/12/05 07:34:33 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:01:34 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 07:34:35 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:01:34 time: 0.0546 data_time: 0.0027 memory: 1245 2022/12/05 07:34:36 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:01:33 time: 0.0546 data_time: 0.0023 memory: 1245 2022/12/05 07:34:37 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:01:32 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 07:34:38 - mmengine - INFO - Epoch(val) [4][4500/6282] eta: 0:01:31 time: 0.0541 data_time: 0.0021 memory: 1245 2022/12/05 07:34:39 - mmengine - INFO - Epoch(val) [4][4520/6282] eta: 0:01:30 time: 0.0514 data_time: 0.0022 memory: 1245 2022/12/05 07:34:40 - mmengine - INFO - Epoch(val) [4][4540/6282] eta: 0:01:28 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 07:34:41 - mmengine - INFO - Epoch(val) [4][4560/6282] eta: 0:01:27 time: 0.0420 data_time: 0.0020 memory: 1122 2022/12/05 07:34:41 - mmengine - INFO - Epoch(val) [4][4580/6282] eta: 0:01:26 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 07:34:42 - mmengine - INFO - Epoch(val) [4][4600/6282] eta: 0:01:25 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 07:34:43 - mmengine - INFO - Epoch(val) [4][4620/6282] eta: 0:01:24 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 07:34:44 - mmengine - INFO - Epoch(val) [4][4640/6282] eta: 0:01:23 time: 0.0546 data_time: 0.0023 memory: 1245 2022/12/05 07:34:45 - mmengine - INFO - Epoch(val) [4][4660/6282] eta: 0:01:22 time: 0.0543 data_time: 0.0021 memory: 1245 2022/12/05 07:34:46 - mmengine - INFO - Epoch(val) [4][4680/6282] eta: 0:01:21 time: 0.0543 data_time: 0.0021 memory: 1245 2022/12/05 07:34:47 - mmengine - INFO - Epoch(val) [4][4700/6282] eta: 0:01:20 time: 0.0543 data_time: 0.0022 memory: 1245 2022/12/05 07:34:49 - mmengine - INFO - Epoch(val) [4][4720/6282] eta: 0:01:19 time: 0.0529 data_time: 0.0021 memory: 1245 2022/12/05 07:34:49 - mmengine - INFO - Epoch(val) [4][4740/6282] eta: 0:01:18 time: 0.0458 data_time: 0.0020 memory: 1164 2022/12/05 07:34:50 - mmengine - INFO - Epoch(val) [4][4760/6282] eta: 0:01:17 time: 0.0458 data_time: 0.0021 memory: 1164 2022/12/05 07:34:51 - mmengine - INFO - Epoch(val) [4][4780/6282] eta: 0:01:16 time: 0.0458 data_time: 0.0020 memory: 1164 2022/12/05 07:34:52 - mmengine - INFO - Epoch(val) [4][4800/6282] eta: 0:01:15 time: 0.0460 data_time: 0.0022 memory: 1164 2022/12/05 07:34:53 - mmengine - INFO - Epoch(val) [4][4820/6282] eta: 0:01:14 time: 0.0484 data_time: 0.0021 memory: 1231 2022/12/05 07:34:54 - mmengine - INFO - Epoch(val) [4][4840/6282] eta: 0:01:13 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 07:34:55 - mmengine - INFO - Epoch(val) [4][4860/6282] eta: 0:01:12 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 07:34:56 - mmengine - INFO - Epoch(val) [4][4880/6282] eta: 0:01:11 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 07:34:57 - mmengine - INFO - Epoch(val) [4][4900/6282] eta: 0:01:10 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 07:34:59 - mmengine - INFO - Epoch(val) [4][4920/6282] eta: 0:01:09 time: 0.0539 data_time: 0.0024 memory: 1237 2022/12/05 07:35:00 - mmengine - INFO - Epoch(val) [4][4940/6282] eta: 0:01:08 time: 0.0542 data_time: 0.0023 memory: 1237 2022/12/05 07:35:01 - mmengine - INFO - Epoch(val) [4][4960/6282] eta: 0:01:07 time: 0.0538 data_time: 0.0021 memory: 1237 2022/12/05 07:35:02 - mmengine - INFO - Epoch(val) [4][4980/6282] eta: 0:01:06 time: 0.0540 data_time: 0.0023 memory: 1237 2022/12/05 07:35:03 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:01:05 time: 0.0537 data_time: 0.0022 memory: 1237 2022/12/05 07:35:04 - mmengine - INFO 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eta: 0:00:47 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:35:18 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:00:46 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 07:35:19 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:00:45 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 07:35:20 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:00:44 time: 0.0419 data_time: 0.0021 memory: 1113 2022/12/05 07:35:21 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:43 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 07:35:22 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:42 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 07:35:23 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:00:41 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 07:35:23 - mmengine - INFO - Epoch(val) [4][5480/6282] eta: 0:00:40 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 07:35:24 - mmengine - INFO - Epoch(val) [4][5500/6282] eta: 0:00:39 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 07:35:25 - mmengine - INFO - Epoch(val) [4][5520/6282] eta: 0:00:38 time: 0.0443 data_time: 0.0020 memory: 1155 2022/12/05 07:35:26 - mmengine - INFO - Epoch(val) [4][5540/6282] eta: 0:00:37 time: 0.0448 data_time: 0.0020 memory: 1155 2022/12/05 07:35:27 - mmengine - INFO - Epoch(val) [4][5560/6282] eta: 0:00:36 time: 0.0454 data_time: 0.0025 memory: 1155 2022/12/05 07:35:28 - mmengine - INFO - Epoch(val) [4][5580/6282] eta: 0:00:35 time: 0.0450 data_time: 0.0021 memory: 1155 2022/12/05 07:35:29 - mmengine - INFO - Epoch(val) [4][5600/6282] eta: 0:00:34 time: 0.0448 data_time: 0.0020 memory: 1155 2022/12/05 07:35:30 - mmengine - INFO - Epoch(val) [4][5620/6282] eta: 0:00:33 time: 0.0427 data_time: 0.0019 memory: 1155 2022/12/05 07:35:31 - mmengine - INFO - Epoch(val) [4][5640/6282] eta: 0:00:32 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 07:35:31 - mmengine - INFO - Epoch(val) [4][5660/6282] eta: 0:00:31 time: 0.0419 data_time: 0.0021 memory: 1113 2022/12/05 07:35:32 - mmengine - INFO - Epoch(val) [4][5680/6282] eta: 0:00:30 time: 0.0421 data_time: 0.0023 memory: 1113 2022/12/05 07:35:33 - mmengine - INFO - Epoch(val) [4][5700/6282] eta: 0:00:29 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:35:34 - mmengine - INFO - Epoch(val) [4][5720/6282] eta: 0:00:28 time: 0.0443 data_time: 0.0019 memory: 1181 2022/12/05 07:35:35 - mmengine - INFO - Epoch(val) [4][5740/6282] eta: 0:00:27 time: 0.0471 data_time: 0.0022 memory: 1181 2022/12/05 07:35:36 - mmengine - INFO - Epoch(val) [4][5760/6282] eta: 0:00:26 time: 0.0467 data_time: 0.0019 memory: 1181 2022/12/05 07:35:37 - mmengine - INFO - Epoch(val) [4][5780/6282] eta: 0:00:25 time: 0.0470 data_time: 0.0020 memory: 1181 2022/12/05 07:35:38 - mmengine - INFO - Epoch(val) [4][5800/6282] eta: 0:00:24 time: 0.0470 data_time: 0.0021 memory: 1181 2022/12/05 07:35:39 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:23 time: 0.0459 data_time: 0.0021 memory: 1181 2022/12/05 07:35:40 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:22 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 07:35:40 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:21 time: 0.0450 data_time: 0.0020 memory: 1155 2022/12/05 07:35:41 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:20 time: 0.0449 data_time: 0.0021 memory: 1155 2022/12/05 07:35:42 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:19 time: 0.0449 data_time: 0.0021 memory: 1155 2022/12/05 07:35:43 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:18 time: 0.0429 data_time: 0.0019 memory: 1155 2022/12/05 07:35:44 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:17 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 07:35:45 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:16 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 07:35:46 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:15 time: 0.0420 data_time: 0.0021 memory: 1113 2022/12/05 07:35:47 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:14 time: 0.0506 data_time: 0.0021 memory: 1231 2022/12/05 07:35:48 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:13 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 07:35:49 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:12 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 07:35:50 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:11 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 07:35:51 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:10 time: 0.0544 data_time: 0.0024 memory: 1231 2022/12/05 07:35:52 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:09 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 07:35:53 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:08 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 07:35:54 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:07 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 07:35:55 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:06 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 07:35:56 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:05 time: 0.0541 data_time: 0.0020 memory: 1231 2022/12/05 07:35:57 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:04 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 07:35:59 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:03 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 07:36:00 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:02 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 07:36:01 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:01 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 07:36:02 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0530 data_time: 0.0020 memory: 1231 2022/12/05 07:41:20 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.3051 2022/12/05 07:41:20 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2022/12/05 07:41:23 - mmengine - INFO - The best checkpoint with 0.3051 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2022/12/05 07:41:34 - mmengine - INFO - Epoch(train) [5][ 20/4451] lr: 8.5296e-02 eta: 3:40:26 time: 0.5439 data_time: 0.0486 memory: 16785 grad_norm: 0.1007 loss: 0.0171 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6000 recall@top3: 0.6500 prec@top3: 0.5000 recall@top5: 0.8625 prec@top5: 0.4100 loss_action_cls: 0.0171 2022/12/05 07:41:44 - mmengine - INFO - Epoch(train) [5][ 40/4451] lr: 8.5233e-02 eta: 3:40:16 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1017 loss: 0.0184 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.5933 recall@top3: 0.8533 prec@top3: 0.5467 recall@top5: 0.9800 prec@top5: 0.3760 loss_action_cls: 0.0184 2022/12/05 07:41:54 - mmengine - INFO - Epoch(train) [5][ 60/4451] lr: 8.5171e-02 eta: 3:40:07 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.1102 loss: 0.0192 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7790 recall@top3: 0.8043 prec@top3: 0.6377 recall@top5: 0.9348 prec@top5: 0.4609 loss_action_cls: 0.0192 2022/12/05 07:42:04 - mmengine - INFO - Epoch(train) [5][ 80/4451] lr: 8.5108e-02 eta: 3:39:57 time: 0.4954 data_time: 0.0105 memory: 16785 grad_norm: 0.0951 loss: 0.0181 recall@thr=0.5: 0.5893 prec@thr=0.5: 0.6131 recall@top3: 0.8333 prec@top3: 0.5119 recall@top5: 0.9762 prec@top5: 0.3500 loss_action_cls: 0.0181 2022/12/05 07:42:14 - mmengine - INFO - Epoch(train) [5][ 100/4451] lr: 8.5045e-02 eta: 3:39:47 time: 0.4950 data_time: 0.0103 memory: 16785 grad_norm: 0.1004 loss: 0.0178 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.5882 recall@top3: 0.6373 prec@top3: 0.3922 recall@top5: 0.9020 prec@top5: 0.3176 loss_action_cls: 0.0178 2022/12/05 07:42:24 - mmengine - INFO - Epoch(train) [5][ 120/4451] lr: 8.4982e-02 eta: 3:39:37 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1024 loss: 0.0166 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8021 recall@top3: 0.8125 prec@top3: 0.5417 recall@top5: 0.9688 prec@top5: 0.4000 loss_action_cls: 0.0166 2022/12/05 07:42:33 - mmengine - INFO - Epoch(train) [5][ 140/4451] lr: 8.4919e-02 eta: 3:39:27 time: 0.4946 data_time: 0.0105 memory: 16785 grad_norm: 0.1018 loss: 0.0204 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.7222 recall@top3: 0.7952 prec@top3: 0.6032 recall@top5: 0.8603 prec@top5: 0.4000 loss_action_cls: 0.0204 2022/12/05 07:42:43 - mmengine - INFO - Epoch(train) [5][ 160/4451] lr: 8.4856e-02 eta: 3:39:17 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1044 loss: 0.0191 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.5580 recall@top3: 0.8116 prec@top3: 0.4638 recall@top5: 0.9565 prec@top5: 0.3478 loss_action_cls: 0.0191 2022/12/05 07:42:53 - mmengine - INFO - Epoch(train) [5][ 180/4451] lr: 8.4793e-02 eta: 3:39:07 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.1012 loss: 0.0168 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7000 recall@top3: 0.9000 prec@top3: 0.4667 recall@top5: 0.9667 prec@top5: 0.3067 loss_action_cls: 0.0168 2022/12/05 07:43:01 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 07:43:03 - mmengine - INFO - Epoch(train) [5][ 200/4451] lr: 8.4729e-02 eta: 3:38:57 time: 0.4952 data_time: 0.0105 memory: 16785 grad_norm: 0.1048 loss: 0.0191 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6400 recall@top3: 0.8083 prec@top3: 0.5500 recall@top5: 0.9208 prec@top5: 0.4100 loss_action_cls: 0.0191 2022/12/05 07:43:13 - mmengine - INFO - Epoch(train) [5][ 220/4451] lr: 8.4666e-02 eta: 3:38:47 time: 0.4945 data_time: 0.0106 memory: 16785 grad_norm: 0.1135 loss: 0.0200 recall@thr=0.5: 0.6371 prec@thr=0.5: 0.8065 recall@top3: 0.7903 prec@top3: 0.6022 recall@top5: 0.9274 prec@top5: 0.4323 loss_action_cls: 0.0200 2022/12/05 07:43:23 - mmengine - INFO - Epoch(train) [5][ 240/4451] lr: 8.4602e-02 eta: 3:38:37 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.0993 loss: 0.0189 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8462 recall@top3: 0.8462 prec@top3: 0.4615 recall@top5: 0.9231 prec@top5: 0.2923 loss_action_cls: 0.0189 2022/12/05 07:43:33 - mmengine - INFO - Epoch(train) [5][ 260/4451] lr: 8.4538e-02 eta: 3:38:27 time: 0.4956 data_time: 0.0104 memory: 16785 grad_norm: 0.1009 loss: 0.0168 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.5877 recall@top3: 0.8596 prec@top3: 0.5614 recall@top5: 0.8947 prec@top5: 0.3579 loss_action_cls: 0.0168 2022/12/05 07:43:43 - mmengine - INFO - Epoch(train) [5][ 280/4451] lr: 8.4474e-02 eta: 3:38:17 time: 0.4948 data_time: 0.0106 memory: 16785 grad_norm: 0.0987 loss: 0.0184 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6759 recall@top3: 0.6944 prec@top3: 0.4815 recall@top5: 0.9167 prec@top5: 0.3556 loss_action_cls: 0.0184 2022/12/05 07:43:53 - mmengine - INFO - Epoch(train) [5][ 300/4451] lr: 8.4410e-02 eta: 3:38:07 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1000 loss: 0.0176 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8730 recall@top3: 0.8452 prec@top3: 0.5079 recall@top5: 0.9405 prec@top5: 0.3429 loss_action_cls: 0.0176 2022/12/05 07:44:03 - mmengine - INFO - Epoch(train) [5][ 320/4451] lr: 8.4346e-02 eta: 3:37:57 time: 0.4948 data_time: 0.0106 memory: 16785 grad_norm: 0.1041 loss: 0.0181 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7639 recall@top3: 0.8981 prec@top3: 0.7593 recall@top5: 0.9630 prec@top5: 0.5000 loss_action_cls: 0.0181 2022/12/05 07:44:12 - mmengine - INFO - Epoch(train) [5][ 340/4451] lr: 8.4282e-02 eta: 3:37:47 time: 0.4946 data_time: 0.0107 memory: 16785 grad_norm: 0.1020 loss: 0.0182 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9048 recall@top3: 0.9524 prec@top3: 0.7302 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0182 2022/12/05 07:44:22 - mmengine - INFO - Epoch(train) [5][ 360/4451] lr: 8.4218e-02 eta: 3:37:38 time: 0.4948 data_time: 0.0109 memory: 16785 grad_norm: 0.1039 loss: 0.0185 recall@thr=0.5: 0.5762 prec@thr=0.5: 0.7119 recall@top3: 0.6143 prec@top3: 0.6667 recall@top5: 0.8690 prec@top5: 0.5657 loss_action_cls: 0.0185 2022/12/05 07:44:32 - mmengine - INFO - Epoch(train) [5][ 380/4451] lr: 8.4154e-02 eta: 3:37:28 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1025 loss: 0.0180 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8282 recall@top3: 0.7115 prec@top3: 0.5256 recall@top5: 0.8814 prec@top5: 0.4077 loss_action_cls: 0.0180 2022/12/05 07:44:42 - mmengine - INFO - Epoch(train) [5][ 400/4451] lr: 8.4089e-02 eta: 3:37:18 time: 0.4958 data_time: 0.0106 memory: 16785 grad_norm: 0.1060 loss: 0.0178 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7593 recall@top3: 0.8056 prec@top3: 0.5556 recall@top5: 0.9722 prec@top5: 0.4111 loss_action_cls: 0.0178 2022/12/05 07:44:52 - mmengine - INFO - Epoch(train) [5][ 420/4451] lr: 8.4024e-02 eta: 3:37:08 time: 0.4962 data_time: 0.0104 memory: 16785 grad_norm: 0.1034 loss: 0.0226 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7899 recall@top3: 0.6717 prec@top3: 0.6232 recall@top5: 0.7986 prec@top5: 0.4435 loss_action_cls: 0.0226 2022/12/05 07:45:02 - mmengine - INFO - Epoch(train) [5][ 440/4451] lr: 8.3960e-02 eta: 3:36:58 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1035 loss: 0.0162 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7037 recall@top3: 0.8241 prec@top3: 0.5926 recall@top5: 0.9421 prec@top5: 0.4056 loss_action_cls: 0.0162 2022/12/05 07:45:12 - mmengine - INFO - Epoch(train) [5][ 460/4451] lr: 8.3895e-02 eta: 3:36:48 time: 0.4948 data_time: 0.0106 memory: 16785 grad_norm: 0.1098 loss: 0.0210 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.7153 recall@top3: 0.7569 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0210 2022/12/05 07:45:22 - mmengine - INFO - Epoch(train) [5][ 480/4451] lr: 8.3830e-02 eta: 3:36:38 time: 0.4955 data_time: 0.0109 memory: 16785 grad_norm: 0.1076 loss: 0.0210 recall@thr=0.5: 0.8343 prec@thr=0.5: 0.8788 recall@top3: 0.8798 prec@top3: 0.6364 recall@top5: 0.9343 prec@top5: 0.4242 loss_action_cls: 0.0210 2022/12/05 07:45:32 - mmengine - INFO - Epoch(train) [5][ 500/4451] lr: 8.3765e-02 eta: 3:36:28 time: 0.4950 data_time: 0.0106 memory: 16785 grad_norm: 0.0946 loss: 0.0150 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.9342 recall@top3: 0.8816 prec@top3: 0.7719 recall@top5: 0.9649 prec@top5: 0.5263 loss_action_cls: 0.0150 2022/12/05 07:45:42 - mmengine - INFO - Epoch(train) [5][ 520/4451] lr: 8.3700e-02 eta: 3:36:18 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.0982 loss: 0.0190 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7037 recall@top3: 0.8549 prec@top3: 0.5679 recall@top5: 0.9599 prec@top5: 0.4000 loss_action_cls: 0.0190 2022/12/05 07:45:52 - mmengine - INFO - Epoch(train) [5][ 540/4451] lr: 8.3635e-02 eta: 3:36:08 time: 0.4962 data_time: 0.0104 memory: 16785 grad_norm: 0.1037 loss: 0.0179 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8750 recall@top3: 0.8667 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5800 loss_action_cls: 0.0179 2022/12/05 07:46:01 - mmengine - INFO - Epoch(train) [5][ 560/4451] lr: 8.3569e-02 eta: 3:35:58 time: 0.4959 data_time: 0.0107 memory: 16785 grad_norm: 0.1003 loss: 0.0180 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5625 recall@top3: 0.7083 prec@top3: 0.6111 recall@top5: 0.9375 prec@top5: 0.4833 loss_action_cls: 0.0180 2022/12/05 07:46:11 - mmengine - INFO - Epoch(train) [5][ 580/4451] lr: 8.3504e-02 eta: 3:35:48 time: 0.4945 data_time: 0.0103 memory: 16785 grad_norm: 0.1037 loss: 0.0193 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8176 recall@top3: 0.8627 prec@top3: 0.6471 recall@top5: 0.9216 prec@top5: 0.4235 loss_action_cls: 0.0193 2022/12/05 07:46:21 - mmengine - INFO - Epoch(train) [5][ 600/4451] lr: 8.3438e-02 eta: 3:35:39 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.1065 loss: 0.0196 recall@thr=0.5: 0.6367 prec@thr=0.5: 0.8500 recall@top3: 0.8350 prec@top3: 0.6333 recall@top5: 0.9800 prec@top5: 0.4600 loss_action_cls: 0.0196 2022/12/05 07:46:31 - mmengine - INFO - Epoch(train) [5][ 620/4451] lr: 8.3373e-02 eta: 3:35:29 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.0966 loss: 0.0174 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8426 recall@top3: 0.8704 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0174 2022/12/05 07:46:41 - mmengine - INFO - Epoch(train) [5][ 640/4451] lr: 8.3307e-02 eta: 3:35:19 time: 0.4951 data_time: 0.0105 memory: 16785 grad_norm: 0.1092 loss: 0.0189 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.6961 recall@top3: 0.8235 prec@top3: 0.5294 recall@top5: 0.9706 prec@top5: 0.4000 loss_action_cls: 0.0189 2022/12/05 07:46:51 - mmengine - INFO - Epoch(train) [5][ 660/4451] lr: 8.3241e-02 eta: 3:35:09 time: 0.4961 data_time: 0.0107 memory: 16785 grad_norm: 0.1016 loss: 0.0197 recall@thr=0.5: 0.3852 prec@thr=0.5: 0.4630 recall@top3: 0.7000 prec@top3: 0.4815 recall@top5: 0.8148 prec@top5: 0.3667 loss_action_cls: 0.0197 2022/12/05 07:47:01 - mmengine - INFO - Epoch(train) [5][ 680/4451] lr: 8.3175e-02 eta: 3:34:59 time: 0.4965 data_time: 0.0105 memory: 16785 grad_norm: 0.1060 loss: 0.0195 recall@thr=0.5: 0.5048 prec@thr=0.5: 0.7698 recall@top3: 0.8508 prec@top3: 0.6349 recall@top5: 0.9254 prec@top5: 0.4286 loss_action_cls: 0.0195 2022/12/05 07:47:11 - mmengine - INFO - Epoch(train) [5][ 700/4451] lr: 8.3109e-02 eta: 3:34:49 time: 0.4951 data_time: 0.0105 memory: 16785 grad_norm: 0.1065 loss: 0.0200 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5490 recall@top3: 0.6275 prec@top3: 0.4412 recall@top5: 0.7794 prec@top5: 0.3294 loss_action_cls: 0.0200 2022/12/05 07:47:21 - mmengine - INFO - Epoch(train) [5][ 720/4451] lr: 8.3043e-02 eta: 3:34:39 time: 0.4950 data_time: 0.0106 memory: 16785 grad_norm: 0.1072 loss: 0.0187 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7500 recall@top3: 0.8667 prec@top3: 0.6167 recall@top5: 0.9167 prec@top5: 0.3900 loss_action_cls: 0.0187 2022/12/05 07:47:31 - mmengine - INFO - Epoch(train) [5][ 740/4451] lr: 8.2977e-02 eta: 3:34:29 time: 0.4961 data_time: 0.0103 memory: 16785 grad_norm: 0.0996 loss: 0.0187 recall@thr=0.5: 0.8559 prec@thr=0.5: 0.8824 recall@top3: 0.9471 prec@top3: 0.8235 recall@top5: 1.0000 prec@top5: 0.5412 loss_action_cls: 0.0187 2022/12/05 07:47:41 - mmengine - INFO - Epoch(train) [5][ 760/4451] lr: 8.2910e-02 eta: 3:34:19 time: 0.4951 data_time: 0.0105 memory: 16785 grad_norm: 0.1003 loss: 0.0193 recall@thr=0.5: 0.4475 prec@thr=0.5: 0.6296 recall@top3: 0.8179 prec@top3: 0.6173 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0193 2022/12/05 07:47:51 - mmengine - INFO - Epoch(train) [5][ 780/4451] lr: 8.2844e-02 eta: 3:34:09 time: 0.4962 data_time: 0.0106 memory: 16785 grad_norm: 0.1006 loss: 0.0187 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8958 recall@top3: 0.9688 prec@top3: 0.5000 recall@top5: 0.9688 prec@top5: 0.3000 loss_action_cls: 0.0187 2022/12/05 07:48:00 - mmengine - INFO - Epoch(train) [5][ 800/4451] lr: 8.2777e-02 eta: 3:33:59 time: 0.4960 data_time: 0.0107 memory: 16785 grad_norm: 0.1074 loss: 0.0193 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.8636 recall@top3: 0.8864 prec@top3: 0.7424 recall@top5: 0.9773 prec@top5: 0.4818 loss_action_cls: 0.0193 2022/12/05 07:48:10 - mmengine - INFO - Epoch(train) [5][ 820/4451] lr: 8.2711e-02 eta: 3:33:50 time: 0.4954 data_time: 0.0104 memory: 16785 grad_norm: 0.1071 loss: 0.0182 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7675 recall@top3: 0.8202 prec@top3: 0.6316 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0182 2022/12/05 07:48:20 - mmengine - INFO - Epoch(train) [5][ 840/4451] lr: 8.2644e-02 eta: 3:33:40 time: 0.4945 data_time: 0.0107 memory: 16785 grad_norm: 0.1006 loss: 0.0175 recall@thr=0.5: 0.6287 prec@thr=0.5: 0.8787 recall@top3: 0.6981 prec@top3: 0.6481 recall@top5: 0.8593 prec@top5: 0.4889 loss_action_cls: 0.0175 2022/12/05 07:48:30 - mmengine - INFO - Epoch(train) [5][ 860/4451] lr: 8.2577e-02 eta: 3:33:30 time: 0.4959 data_time: 0.0104 memory: 16785 grad_norm: 0.0992 loss: 0.0186 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7333 recall@top3: 0.9611 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0186 2022/12/05 07:48:40 - mmengine - INFO - Epoch(train) [5][ 880/4451] lr: 8.2510e-02 eta: 3:33:20 time: 0.4954 data_time: 0.0108 memory: 16785 grad_norm: 0.1065 loss: 0.0192 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7963 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.8981 prec@top5: 0.5000 loss_action_cls: 0.0192 2022/12/05 07:48:50 - mmengine - INFO - Epoch(train) [5][ 900/4451] lr: 8.2443e-02 eta: 3:33:10 time: 0.4968 data_time: 0.0101 memory: 16785 grad_norm: 0.1038 loss: 0.0174 recall@thr=0.5: 0.5944 prec@thr=0.5: 0.6389 recall@top3: 0.7333 prec@top3: 0.4556 recall@top5: 0.8778 prec@top5: 0.3400 loss_action_cls: 0.0174 2022/12/05 07:49:00 - mmengine - INFO - Epoch(train) [5][ 920/4451] lr: 8.2376e-02 eta: 3:33:00 time: 0.4954 data_time: 0.0112 memory: 16785 grad_norm: 0.1057 loss: 0.0190 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7387 recall@top3: 0.7000 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.4080 loss_action_cls: 0.0190 2022/12/05 07:49:10 - mmengine - INFO - Epoch(train) [5][ 940/4451] lr: 8.2308e-02 eta: 3:32:50 time: 0.4955 data_time: 0.0105 memory: 16785 grad_norm: 0.1016 loss: 0.0201 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.7157 recall@top3: 0.7255 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.4706 loss_action_cls: 0.0201 2022/12/05 07:49:20 - mmengine - INFO - Epoch(train) [5][ 960/4451] lr: 8.2241e-02 eta: 3:32:40 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1043 loss: 0.0189 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.7101 recall@top3: 0.8043 prec@top3: 0.5652 recall@top5: 0.8768 prec@top5: 0.3652 loss_action_cls: 0.0189 2022/12/05 07:49:30 - mmengine - INFO - Epoch(train) [5][ 980/4451] lr: 8.2174e-02 eta: 3:32:30 time: 0.4955 data_time: 0.0104 memory: 16785 grad_norm: 0.1013 loss: 0.0187 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.9778 recall@top3: 0.8311 prec@top3: 0.6889 recall@top5: 0.9600 prec@top5: 0.5067 loss_action_cls: 0.0187 2022/12/05 07:49:40 - mmengine - INFO - Epoch(train) [5][1000/4451] lr: 8.2106e-02 eta: 3:32:20 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1048 loss: 0.0172 recall@thr=0.5: 0.7508 prec@thr=0.5: 0.8413 recall@top3: 0.8857 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.5143 loss_action_cls: 0.0172 2022/12/05 07:49:49 - mmengine - INFO - Epoch(train) [5][1020/4451] lr: 8.2038e-02 eta: 3:32:10 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.0987 loss: 0.0195 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5750 recall@top3: 0.8250 prec@top3: 0.3833 recall@top5: 0.9000 prec@top5: 0.2600 loss_action_cls: 0.0195 2022/12/05 07:49:59 - mmengine - INFO - Epoch(train) [5][1040/4451] lr: 8.1970e-02 eta: 3:32:00 time: 0.4951 data_time: 0.0104 memory: 16785 grad_norm: 0.1051 loss: 0.0170 recall@thr=0.5: 0.6035 prec@thr=0.5: 0.6364 recall@top3: 0.8157 prec@top3: 0.5455 recall@top5: 0.9470 prec@top5: 0.3818 loss_action_cls: 0.0170 2022/12/05 07:50:09 - mmengine - INFO - Epoch(train) [5][1060/4451] lr: 8.1903e-02 eta: 3:31:51 time: 0.4950 data_time: 0.0103 memory: 16785 grad_norm: 0.1102 loss: 0.0182 recall@thr=0.5: 0.5942 prec@thr=0.5: 0.6304 recall@top3: 0.6449 prec@top3: 0.4783 recall@top5: 0.8804 prec@top5: 0.3913 loss_action_cls: 0.0182 2022/12/05 07:50:19 - mmengine - INFO - Epoch(train) [5][1080/4451] lr: 8.1835e-02 eta: 3:31:41 time: 0.4952 data_time: 0.0106 memory: 16785 grad_norm: 0.1058 loss: 0.0184 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8333 recall@top3: 0.8571 prec@top3: 0.6508 recall@top5: 0.9286 prec@top5: 0.4381 loss_action_cls: 0.0184 2022/12/05 07:50:29 - mmengine - INFO - Epoch(train) [5][1100/4451] lr: 8.1767e-02 eta: 3:31:31 time: 0.4956 data_time: 0.0106 memory: 16785 grad_norm: 0.1015 loss: 0.0199 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.9194 recall@top3: 0.8611 prec@top3: 0.8333 recall@top5: 0.9259 prec@top5: 0.5444 loss_action_cls: 0.0199 2022/12/05 07:50:39 - mmengine - INFO - Epoch(train) [5][1120/4451] lr: 8.1698e-02 eta: 3:31:21 time: 0.4948 data_time: 0.0109 memory: 16785 grad_norm: 0.1026 loss: 0.0181 recall@thr=0.5: 0.8284 prec@thr=0.5: 0.7843 recall@top3: 0.8598 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0181 2022/12/05 07:50:49 - mmengine - INFO - Epoch(train) [5][1140/4451] lr: 8.1630e-02 eta: 3:31:11 time: 0.4971 data_time: 0.0105 memory: 16785 grad_norm: 0.0995 loss: 0.0159 recall@thr=0.5: 0.7077 prec@thr=0.5: 0.7738 recall@top3: 0.8107 prec@top3: 0.7976 recall@top5: 0.9821 prec@top5: 0.5929 loss_action_cls: 0.0159 2022/12/05 07:50:59 - mmengine - INFO - Epoch(train) [5][1160/4451] lr: 8.1562e-02 eta: 3:31:01 time: 0.4962 data_time: 0.0105 memory: 16785 grad_norm: 0.1095 loss: 0.0199 recall@thr=0.5: 0.5795 prec@thr=0.5: 0.6629 recall@top3: 0.6288 prec@top3: 0.5303 recall@top5: 0.9545 prec@top5: 0.5091 loss_action_cls: 0.0199 2022/12/05 07:51:09 - mmengine - INFO - Epoch(train) [5][1180/4451] lr: 8.1493e-02 eta: 3:30:51 time: 0.4961 data_time: 0.0105 memory: 16785 grad_norm: 0.1027 loss: 0.0193 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.9167 recall@top3: 0.8462 prec@top3: 0.7179 recall@top5: 0.9423 prec@top5: 0.4923 loss_action_cls: 0.0193 2022/12/05 07:51:17 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 07:51:19 - mmengine - INFO - Epoch(train) [5][1200/4451] lr: 8.1425e-02 eta: 3:30:41 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.0982 loss: 0.0174 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8750 recall@top3: 0.8229 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0174 2022/12/05 07:51:29 - mmengine - INFO - Epoch(train) [5][1220/4451] lr: 8.1356e-02 eta: 3:30:31 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1052 loss: 0.0191 recall@thr=0.5: 0.4922 prec@thr=0.5: 0.5469 recall@top3: 0.6589 prec@top3: 0.4271 recall@top5: 0.8307 prec@top5: 0.3125 loss_action_cls: 0.0191 2022/12/05 07:51:39 - mmengine - INFO - Epoch(train) [5][1240/4451] lr: 8.1287e-02 eta: 3:30:21 time: 0.4941 data_time: 0.0107 memory: 16785 grad_norm: 0.1083 loss: 0.0186 recall@thr=0.5: 0.6028 prec@thr=0.5: 0.7185 recall@top3: 0.6750 prec@top3: 0.6667 recall@top5: 0.8759 prec@top5: 0.5556 loss_action_cls: 0.0186 2022/12/05 07:51:48 - mmengine - INFO - Epoch(train) [5][1260/4451] lr: 8.1218e-02 eta: 3:30:11 time: 0.4956 data_time: 0.0105 memory: 16785 grad_norm: 0.1084 loss: 0.0188 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.7059 recall@top3: 0.8039 prec@top3: 0.6078 recall@top5: 0.9314 prec@top5: 0.4235 loss_action_cls: 0.0188 2022/12/05 07:51:58 - mmengine - INFO - Epoch(train) [5][1280/4451] lr: 8.1149e-02 eta: 3:30:01 time: 0.4948 data_time: 0.0106 memory: 16785 grad_norm: 0.1081 loss: 0.0203 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8148 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.8704 prec@top5: 0.4556 loss_action_cls: 0.0203 2022/12/05 07:52:08 - mmengine - INFO - Epoch(train) [5][1300/4451] lr: 8.1080e-02 eta: 3:29:52 time: 0.4996 data_time: 0.0132 memory: 16785 grad_norm: 0.1066 loss: 0.0180 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7843 recall@top3: 0.7843 prec@top3: 0.5882 recall@top5: 0.9647 prec@top5: 0.4235 loss_action_cls: 0.0180 2022/12/05 07:52:18 - mmengine - INFO - Epoch(train) [5][1320/4451] lr: 8.1011e-02 eta: 3:29:42 time: 0.4953 data_time: 0.0103 memory: 16785 grad_norm: 0.1063 loss: 0.0165 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7807 recall@top3: 0.9474 prec@top3: 0.4912 recall@top5: 1.0000 prec@top5: 0.3053 loss_action_cls: 0.0165 2022/12/05 07:52:28 - mmengine - INFO - Epoch(train) [5][1340/4451] lr: 8.0942e-02 eta: 3:29:32 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1046 loss: 0.0193 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7778 recall@top3: 0.9167 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3444 loss_action_cls: 0.0193 2022/12/05 07:52:38 - mmengine - INFO - Epoch(train) [5][1360/4451] lr: 8.0873e-02 eta: 3:29:22 time: 0.4956 data_time: 0.0107 memory: 16785 grad_norm: 0.1006 loss: 0.0194 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9537 recall@top3: 0.8704 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0194 2022/12/05 07:52:48 - mmengine - INFO - Epoch(train) [5][1380/4451] lr: 8.0803e-02 eta: 3:29:12 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1036 loss: 0.0191 recall@thr=0.5: 0.6494 prec@thr=0.5: 0.6552 recall@top3: 0.7500 prec@top3: 0.5977 recall@top5: 0.8707 prec@top5: 0.4207 loss_action_cls: 0.0191 2022/12/05 07:52:58 - mmengine - INFO - Epoch(train) [5][1400/4451] lr: 8.0734e-02 eta: 3:29:02 time: 0.4950 data_time: 0.0106 memory: 16785 grad_norm: 0.1029 loss: 0.0188 recall@thr=0.5: 0.5570 prec@thr=0.5: 0.6886 recall@top3: 0.7851 prec@top3: 0.5614 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0188 2022/12/05 07:53:08 - mmengine - INFO - Epoch(train) [5][1420/4451] lr: 8.0664e-02 eta: 3:28:52 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1027 loss: 0.0189 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.7292 recall@top3: 0.7924 prec@top3: 0.7083 recall@top5: 0.9014 prec@top5: 0.5000 loss_action_cls: 0.0189 2022/12/05 07:53:18 - mmengine - INFO - Epoch(train) [5][1440/4451] lr: 8.0594e-02 eta: 3:28:42 time: 0.4957 data_time: 0.0103 memory: 16785 grad_norm: 0.1040 loss: 0.0185 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7280 recall@top3: 0.6742 prec@top3: 0.6364 recall@top5: 0.9280 prec@top5: 0.5364 loss_action_cls: 0.0185 2022/12/05 07:53:28 - mmengine - INFO - Epoch(train) [5][1460/4451] lr: 8.0524e-02 eta: 3:28:32 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1044 loss: 0.0188 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.7083 recall@top3: 0.6528 prec@top3: 0.6389 recall@top5: 0.9792 prec@top5: 0.6000 loss_action_cls: 0.0188 2022/12/05 07:53:38 - mmengine - INFO - Epoch(train) [5][1480/4451] lr: 8.0454e-02 eta: 3:28:22 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1049 loss: 0.0177 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6019 recall@top3: 0.9074 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0177 2022/12/05 07:53:47 - mmengine - INFO - Epoch(train) [5][1500/4451] lr: 8.0384e-02 eta: 3:28:13 time: 0.4960 data_time: 0.0104 memory: 16785 grad_norm: 0.1009 loss: 0.0197 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7396 recall@top3: 0.8542 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0197 2022/12/05 07:53:57 - mmengine - INFO - Epoch(train) [5][1520/4451] lr: 8.0314e-02 eta: 3:28:03 time: 0.4952 data_time: 0.0106 memory: 16785 grad_norm: 0.1018 loss: 0.0163 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.4630 recall@top3: 0.8333 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0163 2022/12/05 07:54:07 - mmengine - INFO - Epoch(train) [5][1540/4451] lr: 8.0244e-02 eta: 3:27:53 time: 0.4949 data_time: 0.0107 memory: 16785 grad_norm: 0.1043 loss: 0.0185 recall@thr=0.5: 0.6153 prec@thr=0.5: 0.7454 recall@top3: 0.7931 prec@top3: 0.6574 recall@top5: 0.9356 prec@top5: 0.4944 loss_action_cls: 0.0185 2022/12/05 07:54:17 - mmengine - INFO - Epoch(train) [5][1560/4451] lr: 8.0174e-02 eta: 3:27:43 time: 0.4959 data_time: 0.0112 memory: 16785 grad_norm: 0.1075 loss: 0.0206 recall@thr=0.5: 0.6904 prec@thr=0.5: 0.8179 recall@top3: 0.7865 prec@top3: 0.7692 recall@top5: 0.9423 prec@top5: 0.5692 loss_action_cls: 0.0206 2022/12/05 07:54:27 - mmengine - INFO - Epoch(train) [5][1580/4451] lr: 8.0103e-02 eta: 3:27:33 time: 0.4954 data_time: 0.0106 memory: 16785 grad_norm: 0.1054 loss: 0.0182 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7667 recall@top3: 0.8167 prec@top3: 0.5667 recall@top5: 0.9750 prec@top5: 0.4200 loss_action_cls: 0.0182 2022/12/05 07:54:37 - mmengine - INFO - Epoch(train) [5][1600/4451] lr: 8.0033e-02 eta: 3:27:23 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1073 loss: 0.0187 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6481 recall@top3: 0.7778 prec@top3: 0.5185 recall@top5: 0.9352 prec@top5: 0.3667 loss_action_cls: 0.0187 2022/12/05 07:54:47 - mmengine - INFO - Epoch(train) [5][1620/4451] lr: 7.9962e-02 eta: 3:27:13 time: 0.4954 data_time: 0.0105 memory: 16785 grad_norm: 0.1055 loss: 0.0180 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7675 recall@top3: 0.8500 prec@top3: 0.6167 recall@top5: 0.9167 prec@top5: 0.4100 loss_action_cls: 0.0180 2022/12/05 07:54:57 - mmengine - INFO - Epoch(train) [5][1640/4451] lr: 7.9892e-02 eta: 3:27:03 time: 0.4951 data_time: 0.0108 memory: 16785 grad_norm: 0.1005 loss: 0.0187 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.7456 recall@top3: 0.7807 prec@top3: 0.6316 recall@top5: 0.9123 prec@top5: 0.4421 loss_action_cls: 0.0187 2022/12/05 07:55:07 - mmengine - INFO - Epoch(train) [5][1660/4451] lr: 7.9821e-02 eta: 3:26:53 time: 0.4953 data_time: 0.0102 memory: 16785 grad_norm: 0.1015 loss: 0.0180 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.7807 recall@top3: 0.7544 prec@top3: 0.5789 recall@top5: 0.9123 prec@top5: 0.4105 loss_action_cls: 0.0180 2022/12/05 07:55:17 - mmengine - INFO - Epoch(train) [5][1680/4451] lr: 7.9750e-02 eta: 3:26:43 time: 0.4960 data_time: 0.0107 memory: 16785 grad_norm: 0.1015 loss: 0.0201 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7667 recall@top3: 0.8222 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0201 2022/12/05 07:55:27 - mmengine - INFO - Epoch(train) [5][1700/4451] lr: 7.9679e-02 eta: 3:26:33 time: 0.4954 data_time: 0.0106 memory: 16785 grad_norm: 0.1061 loss: 0.0195 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6306 recall@top3: 0.7556 prec@top3: 0.6222 recall@top5: 0.8750 prec@top5: 0.4533 loss_action_cls: 0.0195 2022/12/05 07:55:36 - mmengine - INFO - Epoch(train) [5][1720/4451] lr: 7.9608e-02 eta: 3:26:23 time: 0.4953 data_time: 0.0103 memory: 16785 grad_norm: 0.1064 loss: 0.0177 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7778 recall@top3: 0.8056 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0177 2022/12/05 07:55:46 - mmengine - INFO - Epoch(train) [5][1740/4451] lr: 7.9537e-02 eta: 3:26:14 time: 0.4955 data_time: 0.0110 memory: 16785 grad_norm: 0.1031 loss: 0.0207 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.8095 recall@top3: 0.8175 prec@top3: 0.6667 recall@top5: 0.8492 prec@top5: 0.4190 loss_action_cls: 0.0207 2022/12/05 07:55:56 - mmengine - INFO - Epoch(train) [5][1760/4451] lr: 7.9466e-02 eta: 3:26:04 time: 0.4948 data_time: 0.0103 memory: 16785 grad_norm: 0.1073 loss: 0.0189 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.6875 recall@top3: 0.7833 prec@top3: 0.5833 recall@top5: 0.9438 prec@top5: 0.4375 loss_action_cls: 0.0189 2022/12/05 07:56:06 - mmengine - INFO - Epoch(train) [5][1780/4451] lr: 7.9394e-02 eta: 3:25:54 time: 0.4961 data_time: 0.0105 memory: 16785 grad_norm: 0.1044 loss: 0.0190 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.8667 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0190 2022/12/05 07:56:16 - mmengine - INFO - Epoch(train) [5][1800/4451] lr: 7.9323e-02 eta: 3:25:44 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1068 loss: 0.0198 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.7157 recall@top3: 0.8235 prec@top3: 0.5686 recall@top5: 0.9020 prec@top5: 0.3882 loss_action_cls: 0.0198 2022/12/05 07:56:26 - mmengine - INFO - Epoch(train) [5][1820/4451] lr: 7.9251e-02 eta: 3:25:34 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.1092 loss: 0.0183 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8413 recall@top3: 0.8730 prec@top3: 0.6825 recall@top5: 0.9841 prec@top5: 0.4381 loss_action_cls: 0.0183 2022/12/05 07:56:36 - mmengine - INFO - Epoch(train) [5][1840/4451] lr: 7.9180e-02 eta: 3:25:24 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.1039 loss: 0.0178 recall@thr=0.5: 0.4103 prec@thr=0.5: 0.5769 recall@top3: 0.8974 prec@top3: 0.4872 recall@top5: 0.9359 prec@top5: 0.3077 loss_action_cls: 0.0178 2022/12/05 07:56:46 - mmengine - INFO - Epoch(train) [5][1860/4451] lr: 7.9108e-02 eta: 3:25:14 time: 0.4958 data_time: 0.0104 memory: 16785 grad_norm: 0.1046 loss: 0.0178 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.7778 recall@top3: 0.7778 prec@top3: 0.6444 recall@top5: 0.9000 prec@top5: 0.4667 loss_action_cls: 0.0178 2022/12/05 07:56:56 - mmengine - INFO - Epoch(train) [5][1880/4451] lr: 7.9036e-02 eta: 3:25:04 time: 0.4965 data_time: 0.0119 memory: 16785 grad_norm: 0.1062 loss: 0.0175 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.7255 recall@top3: 0.8039 prec@top3: 0.6078 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0175 2022/12/05 07:57:06 - mmengine - INFO - Epoch(train) [5][1900/4451] lr: 7.8964e-02 eta: 3:24:54 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1062 loss: 0.0182 recall@thr=0.5: 0.7212 prec@thr=0.5: 0.7628 recall@top3: 0.7949 prec@top3: 0.6026 recall@top5: 0.9712 prec@top5: 0.4538 loss_action_cls: 0.0182 2022/12/05 07:57:16 - mmengine - INFO - Epoch(train) [5][1920/4451] lr: 7.8892e-02 eta: 3:24:44 time: 0.4954 data_time: 0.0110 memory: 16785 grad_norm: 0.1080 loss: 0.0176 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6286 recall@top3: 0.6984 prec@top3: 0.5238 recall@top5: 0.8413 prec@top5: 0.3810 loss_action_cls: 0.0176 2022/12/05 07:57:26 - mmengine - INFO - Epoch(train) [5][1940/4451] lr: 7.8820e-02 eta: 3:24:34 time: 0.4965 data_time: 0.0114 memory: 16785 grad_norm: 0.1096 loss: 0.0177 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.8333 recall@top3: 0.8611 prec@top3: 0.6944 recall@top5: 0.8958 prec@top5: 0.4333 loss_action_cls: 0.0177 2022/12/05 07:57:35 - mmengine - INFO - Epoch(train) [5][1960/4451] lr: 7.8748e-02 eta: 3:24:25 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1016 loss: 0.0194 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.7986 recall@top3: 0.8000 prec@top3: 0.6250 recall@top5: 0.9083 prec@top5: 0.4500 loss_action_cls: 0.0194 2022/12/05 07:57:45 - mmengine - INFO - Epoch(train) [5][1980/4451] lr: 7.8676e-02 eta: 3:24:15 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1017 loss: 0.0178 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.9167 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4111 loss_action_cls: 0.0178 2022/12/05 07:57:55 - mmengine - INFO - Epoch(train) [5][2000/4451] lr: 7.8604e-02 eta: 3:24:05 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1054 loss: 0.0190 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7407 recall@top3: 0.8519 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0190 2022/12/05 07:58:05 - mmengine - INFO - Epoch(train) [5][2020/4451] lr: 7.8531e-02 eta: 3:23:55 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1018 loss: 0.0171 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.5792 recall@top3: 0.7240 prec@top3: 0.5625 recall@top5: 0.8438 prec@top5: 0.4125 loss_action_cls: 0.0171 2022/12/05 07:58:15 - mmengine - INFO - Epoch(train) [5][2040/4451] lr: 7.8459e-02 eta: 3:23:45 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.1079 loss: 0.0203 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.8214 recall@top3: 0.8214 prec@top3: 0.5714 recall@top5: 0.9821 prec@top5: 0.4286 loss_action_cls: 0.0203 2022/12/05 07:58:25 - mmengine - INFO - Epoch(train) [5][2060/4451] lr: 7.8386e-02 eta: 3:23:35 time: 0.4956 data_time: 0.0102 memory: 16785 grad_norm: 0.1027 loss: 0.0179 recall@thr=0.5: 0.7646 prec@thr=0.5: 0.8181 recall@top3: 0.8035 prec@top3: 0.7083 recall@top5: 0.9479 prec@top5: 0.5167 loss_action_cls: 0.0179 2022/12/05 07:58:35 - mmengine - INFO - Epoch(train) [5][2080/4451] lr: 7.8314e-02 eta: 3:23:25 time: 0.4960 data_time: 0.0108 memory: 16785 grad_norm: 0.1063 loss: 0.0179 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.9167 recall@top3: 0.8333 prec@top3: 0.6500 recall@top5: 0.9167 prec@top5: 0.4400 loss_action_cls: 0.0179 2022/12/05 07:58:45 - mmengine - INFO - Epoch(train) [5][2100/4451] lr: 7.8241e-02 eta: 3:23:15 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1029 loss: 0.0201 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.7600 recall@top3: 0.7813 prec@top3: 0.6933 recall@top5: 0.9840 prec@top5: 0.5360 loss_action_cls: 0.0201 2022/12/05 07:58:55 - mmengine - INFO - Epoch(train) [5][2120/4451] lr: 7.8168e-02 eta: 3:23:05 time: 0.4949 data_time: 0.0108 memory: 16785 grad_norm: 0.1031 loss: 0.0218 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6562 recall@top3: 0.6302 prec@top3: 0.5000 recall@top5: 0.7865 prec@top5: 0.4125 loss_action_cls: 0.0218 2022/12/05 07:59:05 - mmengine - INFO - Epoch(train) [5][2140/4451] lr: 7.8095e-02 eta: 3:22:55 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1001 loss: 0.0173 recall@thr=0.5: 0.8464 prec@thr=0.5: 0.8095 recall@top3: 0.8536 prec@top3: 0.5833 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0173 2022/12/05 07:59:15 - mmengine - INFO - Epoch(train) [5][2160/4451] lr: 7.8022e-02 eta: 3:22:45 time: 0.4962 data_time: 0.0108 memory: 16785 grad_norm: 0.1031 loss: 0.0190 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.8229 recall@top3: 0.8073 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0190 2022/12/05 07:59:25 - mmengine - INFO - Epoch(train) [5][2180/4451] lr: 7.7949e-02 eta: 3:22:35 time: 0.4953 data_time: 0.0109 memory: 16785 grad_norm: 0.1061 loss: 0.0178 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8800 recall@top3: 0.9067 prec@top3: 0.7200 recall@top5: 0.9600 prec@top5: 0.4720 loss_action_cls: 0.0178 2022/12/05 07:59:32 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 07:59:34 - mmengine - INFO - Epoch(train) [5][2200/4451] lr: 7.7876e-02 eta: 3:22:26 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1044 loss: 0.0188 recall@thr=0.5: 0.5880 prec@thr=0.5: 0.5833 recall@top3: 0.7130 prec@top3: 0.5556 recall@top5: 0.8194 prec@top5: 0.4000 loss_action_cls: 0.0188 2022/12/05 07:59:44 - mmengine - INFO - Epoch(train) [5][2220/4451] lr: 7.7802e-02 eta: 3:22:16 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1073 loss: 0.0187 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8333 recall@top3: 0.8485 prec@top3: 0.4848 recall@top5: 0.9848 prec@top5: 0.3545 loss_action_cls: 0.0187 2022/12/05 07:59:54 - mmengine - INFO - Epoch(train) [5][2240/4451] lr: 7.7729e-02 eta: 3:22:06 time: 0.4959 data_time: 0.0103 memory: 16785 grad_norm: 0.1102 loss: 0.0190 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.6364 recall@top3: 0.8182 prec@top3: 0.4697 recall@top5: 0.8864 prec@top5: 0.3000 loss_action_cls: 0.0190 2022/12/05 08:00:04 - mmengine - INFO - Epoch(train) [5][2260/4451] lr: 7.7656e-02 eta: 3:21:56 time: 0.4955 data_time: 0.0109 memory: 16785 grad_norm: 0.1031 loss: 0.0178 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.7167 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.8000 prec@top5: 0.4000 loss_action_cls: 0.0178 2022/12/05 08:00:14 - mmengine - INFO - Epoch(train) [5][2280/4451] lr: 7.7582e-02 eta: 3:21:46 time: 0.4956 data_time: 0.0106 memory: 16785 grad_norm: 0.1049 loss: 0.0195 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6750 recall@top3: 0.8333 prec@top3: 0.5167 recall@top5: 0.9542 prec@top5: 0.3700 loss_action_cls: 0.0195 2022/12/05 08:00:24 - mmengine - INFO - Epoch(train) [5][2300/4451] lr: 7.7508e-02 eta: 3:21:36 time: 0.4948 data_time: 0.0107 memory: 16785 grad_norm: 0.1075 loss: 0.0158 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7708 recall@top3: 0.9375 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0158 2022/12/05 08:00:34 - mmengine - INFO - Epoch(train) [5][2320/4451] lr: 7.7435e-02 eta: 3:21:26 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1077 loss: 0.0172 recall@thr=0.5: 0.8403 prec@thr=0.5: 0.9167 recall@top3: 0.9097 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0172 2022/12/05 08:00:44 - mmengine - INFO - Epoch(train) [5][2340/4451] lr: 7.7361e-02 eta: 3:21:16 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1025 loss: 0.0203 recall@thr=0.5: 0.4725 prec@thr=0.5: 0.6750 recall@top3: 0.7908 prec@top3: 0.7000 recall@top5: 0.9383 prec@top5: 0.5200 loss_action_cls: 0.0203 2022/12/05 08:00:54 - mmengine - INFO - Epoch(train) [5][2360/4451] lr: 7.7287e-02 eta: 3:21:06 time: 0.4955 data_time: 0.0107 memory: 16785 grad_norm: 0.1054 loss: 0.0198 recall@thr=0.5: 0.5486 prec@thr=0.5: 0.7917 recall@top3: 0.7257 prec@top3: 0.5972 recall@top5: 0.7882 prec@top5: 0.4000 loss_action_cls: 0.0198 2022/12/05 08:01:04 - mmengine - INFO - Epoch(train) [5][2380/4451] lr: 7.7213e-02 eta: 3:20:56 time: 0.4953 data_time: 0.0108 memory: 16785 grad_norm: 0.1128 loss: 0.0185 recall@thr=0.5: 0.3684 prec@thr=0.5: 0.5395 recall@top3: 0.5965 prec@top3: 0.4737 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0185 2022/12/05 08:01:14 - mmengine - INFO - Epoch(train) [5][2400/4451] lr: 7.7139e-02 eta: 3:20:46 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.1066 loss: 0.0178 recall@thr=0.5: 0.8080 prec@thr=0.5: 0.8841 recall@top3: 0.8406 prec@top3: 0.6812 recall@top5: 0.9565 prec@top5: 0.4783 loss_action_cls: 0.0178 2022/12/05 08:01:23 - mmengine - INFO - Epoch(train) [5][2420/4451] lr: 7.7065e-02 eta: 3:20:36 time: 0.4960 data_time: 0.0106 memory: 16785 grad_norm: 0.1047 loss: 0.0178 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.8214 recall@top3: 0.8452 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0178 2022/12/05 08:01:33 - mmengine - INFO - Epoch(train) [5][2440/4451] lr: 7.6991e-02 eta: 3:20:27 time: 0.4969 data_time: 0.0107 memory: 16785 grad_norm: 0.1067 loss: 0.0188 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8070 recall@top3: 0.8596 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0188 2022/12/05 08:01:43 - mmengine - INFO - Epoch(train) [5][2460/4451] lr: 7.6916e-02 eta: 3:20:17 time: 0.4946 data_time: 0.0109 memory: 16785 grad_norm: 0.1064 loss: 0.0183 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.9136 recall@top3: 0.9630 prec@top3: 0.6173 recall@top5: 0.9877 prec@top5: 0.3852 loss_action_cls: 0.0183 2022/12/05 08:01:53 - mmengine - INFO - Epoch(train) [5][2480/4451] lr: 7.6842e-02 eta: 3:20:07 time: 0.4962 data_time: 0.0108 memory: 16785 grad_norm: 0.1020 loss: 0.0191 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.8148 recall@top3: 0.8333 prec@top3: 0.7685 recall@top5: 0.9375 prec@top5: 0.5222 loss_action_cls: 0.0191 2022/12/05 08:02:03 - mmengine - INFO - Epoch(train) [5][2500/4451] lr: 7.6767e-02 eta: 3:19:57 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1041 loss: 0.0180 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.9474 recall@top3: 0.9298 prec@top3: 0.5965 recall@top5: 0.9825 prec@top5: 0.3789 loss_action_cls: 0.0180 2022/12/05 08:02:13 - mmengine - INFO - Epoch(train) [5][2520/4451] lr: 7.6693e-02 eta: 3:19:47 time: 0.4955 data_time: 0.0111 memory: 16785 grad_norm: 0.1018 loss: 0.0190 recall@thr=0.5: 0.7394 prec@thr=0.5: 0.7955 recall@top3: 0.7545 prec@top3: 0.6061 recall@top5: 0.8394 prec@top5: 0.4273 loss_action_cls: 0.0190 2022/12/05 08:02:23 - mmengine - INFO - Epoch(train) [5][2540/4451] lr: 7.6618e-02 eta: 3:19:37 time: 0.4954 data_time: 0.0108 memory: 16785 grad_norm: 0.1058 loss: 0.0182 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7292 recall@top3: 0.7083 prec@top3: 0.6333 recall@top5: 0.8750 prec@top5: 0.4700 loss_action_cls: 0.0182 2022/12/05 08:02:33 - mmengine - INFO - Epoch(train) [5][2560/4451] lr: 7.6543e-02 eta: 3:19:27 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.0993 loss: 0.0186 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.6275 recall@top3: 0.6078 prec@top3: 0.4510 recall@top5: 0.7549 prec@top5: 0.3412 loss_action_cls: 0.0186 2022/12/05 08:02:43 - mmengine - INFO - Epoch(train) [5][2580/4451] lr: 7.6469e-02 eta: 3:19:17 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1075 loss: 0.0208 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8206 recall@top3: 0.8775 prec@top3: 0.7255 recall@top5: 0.9608 prec@top5: 0.4941 loss_action_cls: 0.0208 2022/12/05 08:02:53 - mmengine - INFO - Epoch(train) [5][2600/4451] lr: 7.6394e-02 eta: 3:19:07 time: 0.4952 data_time: 0.0107 memory: 16785 grad_norm: 0.1009 loss: 0.0172 recall@thr=0.5: 0.6860 prec@thr=0.5: 0.7742 recall@top3: 0.7828 prec@top3: 0.5914 recall@top5: 0.9032 prec@top5: 0.4258 loss_action_cls: 0.0172 2022/12/05 08:03:03 - mmengine - INFO - Epoch(train) [5][2620/4451] lr: 7.6319e-02 eta: 3:18:57 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1078 loss: 0.0189 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6190 recall@top3: 0.7619 prec@top3: 0.5000 recall@top5: 0.9762 prec@top5: 0.4000 loss_action_cls: 0.0189 2022/12/05 08:03:12 - mmengine - INFO - Epoch(train) [5][2640/4451] lr: 7.6244e-02 eta: 3:18:47 time: 0.4951 data_time: 0.0107 memory: 16785 grad_norm: 0.1036 loss: 0.0198 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9167 recall@top3: 0.8932 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0198 2022/12/05 08:03:22 - mmengine - INFO - Epoch(train) [5][2660/4451] lr: 7.6169e-02 eta: 3:18:37 time: 0.4955 data_time: 0.0109 memory: 16785 grad_norm: 0.0989 loss: 0.0189 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8000 recall@top3: 0.8750 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0189 2022/12/05 08:03:32 - mmengine - INFO - Epoch(train) [5][2680/4451] lr: 7.6093e-02 eta: 3:18:28 time: 0.4963 data_time: 0.0106 memory: 16785 grad_norm: 0.1035 loss: 0.0177 recall@thr=0.5: 0.7326 prec@thr=0.5: 0.9167 recall@top3: 0.8368 prec@top3: 0.7639 recall@top5: 0.9167 prec@top5: 0.5167 loss_action_cls: 0.0177 2022/12/05 08:03:42 - mmengine - INFO - Epoch(train) [5][2700/4451] lr: 7.6018e-02 eta: 3:18:18 time: 0.4951 data_time: 0.0111 memory: 16785 grad_norm: 0.1096 loss: 0.0176 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7917 recall@top3: 0.8208 prec@top3: 0.5167 recall@top5: 0.9500 prec@top5: 0.3600 loss_action_cls: 0.0176 2022/12/05 08:03:52 - mmengine - INFO - Epoch(train) [5][2720/4451] lr: 7.5943e-02 eta: 3:18:08 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1053 loss: 0.0186 recall@thr=0.5: 0.5883 prec@thr=0.5: 0.6517 recall@top3: 0.8300 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4800 loss_action_cls: 0.0186 2022/12/05 08:04:02 - mmengine - INFO - Epoch(train) [5][2740/4451] lr: 7.5867e-02 eta: 3:17:58 time: 0.4956 data_time: 0.0104 memory: 16785 grad_norm: 0.1049 loss: 0.0189 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7535 recall@top3: 0.7847 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.5083 loss_action_cls: 0.0189 2022/12/05 08:04:12 - mmengine - INFO - Epoch(train) [5][2760/4451] lr: 7.5792e-02 eta: 3:17:48 time: 0.4959 data_time: 0.0108 memory: 16785 grad_norm: 0.1009 loss: 0.0192 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.7778 recall@top3: 0.8254 prec@top3: 0.7778 recall@top5: 0.9048 prec@top5: 0.5238 loss_action_cls: 0.0192 2022/12/05 08:04:22 - mmengine - INFO - Epoch(train) [5][2780/4451] lr: 7.5716e-02 eta: 3:17:38 time: 0.4951 data_time: 0.0106 memory: 16785 grad_norm: 0.1056 loss: 0.0185 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8667 recall@top3: 0.7500 prec@top3: 0.7333 recall@top5: 0.8875 prec@top5: 0.5200 loss_action_cls: 0.0185 2022/12/05 08:04:32 - mmengine - INFO - Epoch(train) [5][2800/4451] lr: 7.5640e-02 eta: 3:17:28 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1036 loss: 0.0190 recall@thr=0.5: 0.9008 prec@thr=0.5: 0.9167 recall@top3: 0.9127 prec@top3: 0.7619 recall@top5: 0.9762 prec@top5: 0.5048 loss_action_cls: 0.0190 2022/12/05 08:04:42 - mmengine - INFO - Epoch(train) [5][2820/4451] lr: 7.5565e-02 eta: 3:17:18 time: 0.4967 data_time: 0.0107 memory: 16785 grad_norm: 0.0984 loss: 0.0194 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7588 recall@top3: 0.9211 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0194 2022/12/05 08:04:52 - mmengine - INFO - Epoch(train) [5][2840/4451] lr: 7.5489e-02 eta: 3:17:08 time: 0.4964 data_time: 0.0115 memory: 16785 grad_norm: 0.1057 loss: 0.0191 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7281 recall@top3: 0.9474 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.3789 loss_action_cls: 0.0191 2022/12/05 08:05:02 - mmengine - INFO - Epoch(train) [5][2860/4451] lr: 7.5413e-02 eta: 3:16:58 time: 0.4964 data_time: 0.0114 memory: 16785 grad_norm: 0.1051 loss: 0.0210 recall@thr=0.5: 0.6678 prec@thr=0.5: 0.6782 recall@top3: 0.8052 prec@top3: 0.6092 recall@top5: 0.9644 prec@top5: 0.4483 loss_action_cls: 0.0210 2022/12/05 08:05:12 - mmengine - INFO - Epoch(train) [5][2880/4451] lr: 7.5337e-02 eta: 3:16:48 time: 0.4960 data_time: 0.0110 memory: 16785 grad_norm: 0.1066 loss: 0.0194 recall@thr=0.5: 0.3912 prec@thr=0.5: 0.6863 recall@top3: 0.6971 prec@top3: 0.6471 recall@top5: 0.8314 prec@top5: 0.4824 loss_action_cls: 0.0194 2022/12/05 08:05:21 - mmengine - INFO - Epoch(train) [5][2900/4451] lr: 7.5261e-02 eta: 3:16:39 time: 0.4961 data_time: 0.0106 memory: 16785 grad_norm: 0.1032 loss: 0.0197 recall@thr=0.5: 0.3175 prec@thr=0.5: 0.4386 recall@top3: 0.7211 prec@top3: 0.5263 recall@top5: 0.9526 prec@top5: 0.4105 loss_action_cls: 0.0197 2022/12/05 08:05:31 - mmengine - INFO - Epoch(train) [5][2920/4451] lr: 7.5184e-02 eta: 3:16:29 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1057 loss: 0.0180 recall@thr=0.5: 0.8696 prec@thr=0.5: 0.8188 recall@top3: 0.9565 prec@top3: 0.6377 recall@top5: 1.0000 prec@top5: 0.4087 loss_action_cls: 0.0180 2022/12/05 08:05:41 - mmengine - INFO - Epoch(train) [5][2940/4451] lr: 7.5108e-02 eta: 3:16:19 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1064 loss: 0.0191 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7611 recall@top3: 0.7833 prec@top3: 0.6000 recall@top5: 0.9056 prec@top5: 0.4267 loss_action_cls: 0.0191 2022/12/05 08:05:51 - mmengine - INFO - Epoch(train) [5][2960/4451] lr: 7.5032e-02 eta: 3:16:09 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.0998 loss: 0.0181 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.9203 recall@top3: 0.8623 prec@top3: 0.7536 recall@top5: 0.9565 prec@top5: 0.5130 loss_action_cls: 0.0181 2022/12/05 08:06:01 - mmengine - INFO - Epoch(train) [5][2980/4451] lr: 7.4955e-02 eta: 3:15:59 time: 0.4964 data_time: 0.0114 memory: 16785 grad_norm: 0.1014 loss: 0.0187 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.7917 recall@top3: 0.8264 prec@top3: 0.6111 recall@top5: 0.9201 prec@top5: 0.4167 loss_action_cls: 0.0187 2022/12/05 08:06:11 - mmengine - INFO - Epoch(train) [5][3000/4451] lr: 7.4879e-02 eta: 3:15:49 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1096 loss: 0.0193 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.8333 recall@top3: 0.7407 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.5222 loss_action_cls: 0.0193 2022/12/05 08:06:21 - mmengine - INFO - Epoch(train) [5][3020/4451] lr: 7.4802e-02 eta: 3:15:39 time: 0.4957 data_time: 0.0114 memory: 16785 grad_norm: 0.1064 loss: 0.0187 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.7955 recall@top3: 0.8333 prec@top3: 0.6515 recall@top5: 0.9242 prec@top5: 0.4545 loss_action_cls: 0.0187 2022/12/05 08:06:31 - mmengine - INFO - Epoch(train) [5][3040/4451] lr: 7.4726e-02 eta: 3:15:29 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.1056 loss: 0.0192 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.6042 recall@top3: 0.7361 prec@top3: 0.4861 recall@top5: 0.8889 prec@top5: 0.3667 loss_action_cls: 0.0192 2022/12/05 08:06:41 - mmengine - INFO - Epoch(train) [5][3060/4451] lr: 7.4649e-02 eta: 3:15:19 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1086 loss: 0.0197 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.7857 recall@top3: 0.7095 prec@top3: 0.6190 recall@top5: 0.8437 prec@top5: 0.4571 loss_action_cls: 0.0197 2022/12/05 08:06:51 - mmengine - INFO - Epoch(train) [5][3080/4451] lr: 7.4572e-02 eta: 3:15:09 time: 0.4980 data_time: 0.0133 memory: 16785 grad_norm: 0.1100 loss: 0.0161 recall@thr=0.5: 0.4951 prec@thr=0.5: 0.6029 recall@top3: 0.7451 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.5176 loss_action_cls: 0.0161 2022/12/05 08:07:01 - mmengine - INFO - Epoch(train) [5][3100/4451] lr: 7.4495e-02 eta: 3:15:00 time: 0.4970 data_time: 0.0117 memory: 16785 grad_norm: 0.1065 loss: 0.0204 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.7946 recall@top3: 0.8274 prec@top3: 0.7619 recall@top5: 0.9405 prec@top5: 0.5214 loss_action_cls: 0.0204 2022/12/05 08:07:11 - mmengine - INFO - Epoch(train) [5][3120/4451] lr: 7.4418e-02 eta: 3:14:50 time: 0.4952 data_time: 0.0107 memory: 16785 grad_norm: 0.1047 loss: 0.0180 recall@thr=0.5: 0.7394 prec@thr=0.5: 0.7803 recall@top3: 0.7894 prec@top3: 0.6212 recall@top5: 0.9394 prec@top5: 0.4727 loss_action_cls: 0.0180 2022/12/05 08:07:21 - mmengine - INFO - Epoch(train) [5][3140/4451] lr: 7.4341e-02 eta: 3:14:40 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.1066 loss: 0.0225 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.6474 recall@top3: 0.8013 prec@top3: 0.5769 recall@top5: 0.9359 prec@top5: 0.4154 loss_action_cls: 0.0225 2022/12/05 08:07:30 - mmengine - INFO - Epoch(train) [5][3160/4451] lr: 7.4264e-02 eta: 3:14:30 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.0987 loss: 0.0183 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7982 recall@top3: 0.7193 prec@top3: 0.5789 recall@top5: 0.9123 prec@top5: 0.4526 loss_action_cls: 0.0183 2022/12/05 08:07:40 - mmengine - INFO - Epoch(train) [5][3180/4451] lr: 7.4187e-02 eta: 3:14:20 time: 0.4954 data_time: 0.0104 memory: 16785 grad_norm: 0.1095 loss: 0.0176 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8472 recall@top3: 0.9537 prec@top3: 0.8148 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0176 2022/12/05 08:07:48 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 08:07:50 - mmengine - INFO - Epoch(train) [5][3200/4451] lr: 7.4110e-02 eta: 3:14:10 time: 0.4964 data_time: 0.0108 memory: 16785 grad_norm: 0.1084 loss: 0.0180 recall@thr=0.5: 0.6368 prec@thr=0.5: 0.6753 recall@top3: 0.8063 prec@top3: 0.6437 recall@top5: 0.9264 prec@top5: 0.4690 loss_action_cls: 0.0180 2022/12/05 08:08:00 - mmengine - INFO - Epoch(train) [5][3220/4451] lr: 7.4032e-02 eta: 3:14:00 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1048 loss: 0.0189 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8667 recall@top3: 0.8222 prec@top3: 0.6222 recall@top5: 0.8222 prec@top5: 0.3733 loss_action_cls: 0.0189 2022/12/05 08:08:10 - mmengine - INFO - Epoch(train) [5][3240/4451] lr: 7.3955e-02 eta: 3:13:50 time: 0.4954 data_time: 0.0108 memory: 16785 grad_norm: 0.1103 loss: 0.0189 recall@thr=0.5: 0.8553 prec@thr=0.5: 0.9254 recall@top3: 0.8465 prec@top3: 0.6667 recall@top5: 0.9825 prec@top5: 0.4842 loss_action_cls: 0.0189 2022/12/05 08:08:20 - mmengine - INFO - Epoch(train) [5][3260/4451] lr: 7.3878e-02 eta: 3:13:40 time: 0.4958 data_time: 0.0104 memory: 16785 grad_norm: 0.0999 loss: 0.0190 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7917 recall@top3: 0.8750 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0190 2022/12/05 08:08:30 - mmengine - INFO - Epoch(train) [5][3280/4451] lr: 7.3800e-02 eta: 3:13:30 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.0997 loss: 0.0181 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.8889 recall@top3: 0.8889 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0181 2022/12/05 08:08:40 - mmengine - INFO - Epoch(train) [5][3300/4451] lr: 7.3722e-02 eta: 3:13:20 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1093 loss: 0.0191 recall@thr=0.5: 0.6545 prec@thr=0.5: 0.6818 recall@top3: 0.8242 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.5000 loss_action_cls: 0.0191 2022/12/05 08:08:50 - mmengine - INFO - Epoch(train) [5][3320/4451] lr: 7.3645e-02 eta: 3:13:11 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.1046 loss: 0.0197 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8869 recall@top3: 0.8304 prec@top3: 0.7857 recall@top5: 0.9643 prec@top5: 0.5643 loss_action_cls: 0.0197 2022/12/05 08:09:00 - mmengine - INFO - Epoch(train) [5][3340/4451] lr: 7.3567e-02 eta: 3:13:01 time: 0.4952 data_time: 0.0109 memory: 16785 grad_norm: 0.1072 loss: 0.0186 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8000 recall@top3: 0.9500 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0186 2022/12/05 08:09:10 - mmengine - INFO - Epoch(train) [5][3360/4451] lr: 7.3489e-02 eta: 3:12:51 time: 0.4956 data_time: 0.0111 memory: 16785 grad_norm: 0.0995 loss: 0.0192 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7193 recall@top3: 0.7544 prec@top3: 0.6667 recall@top5: 0.8772 prec@top5: 0.4737 loss_action_cls: 0.0192 2022/12/05 08:09:19 - mmengine - INFO - Epoch(train) [5][3380/4451] lr: 7.3411e-02 eta: 3:12:41 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1036 loss: 0.0194 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7870 recall@top3: 0.7870 prec@top3: 0.5926 recall@top5: 0.8611 prec@top5: 0.3889 loss_action_cls: 0.0194 2022/12/05 08:09:29 - mmengine - INFO - Epoch(train) [5][3400/4451] lr: 7.3333e-02 eta: 3:12:31 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1060 loss: 0.0179 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7500 recall@top3: 0.7778 prec@top3: 0.6389 recall@top5: 0.9306 prec@top5: 0.4500 loss_action_cls: 0.0179 2022/12/05 08:09:39 - mmengine - INFO - Epoch(train) [5][3420/4451] lr: 7.3255e-02 eta: 3:12:21 time: 0.4959 data_time: 0.0109 memory: 16785 grad_norm: 0.1050 loss: 0.0185 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.6884 recall@top3: 0.8406 prec@top3: 0.5072 recall@top5: 0.9058 prec@top5: 0.3391 loss_action_cls: 0.0185 2022/12/05 08:09:49 - mmengine - INFO - Epoch(train) [5][3440/4451] lr: 7.3177e-02 eta: 3:12:11 time: 0.4953 data_time: 0.0109 memory: 16785 grad_norm: 0.1044 loss: 0.0179 recall@thr=0.5: 0.6845 prec@thr=0.5: 0.6964 recall@top3: 0.7857 prec@top3: 0.6905 recall@top5: 0.9405 prec@top5: 0.4714 loss_action_cls: 0.0179 2022/12/05 08:09:59 - mmengine - INFO - Epoch(train) [5][3460/4451] lr: 7.3099e-02 eta: 3:12:01 time: 0.4988 data_time: 0.0132 memory: 16785 grad_norm: 0.1048 loss: 0.0199 recall@thr=0.5: 0.7282 prec@thr=0.5: 0.8462 recall@top3: 0.7962 prec@top3: 0.6795 recall@top5: 0.9776 prec@top5: 0.4923 loss_action_cls: 0.0199 2022/12/05 08:10:09 - mmengine - INFO - Epoch(train) [5][3480/4451] lr: 7.3020e-02 eta: 3:11:51 time: 0.4961 data_time: 0.0108 memory: 16785 grad_norm: 0.1059 loss: 0.0185 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8413 recall@top3: 0.8254 prec@top3: 0.6825 recall@top5: 0.9405 prec@top5: 0.4857 loss_action_cls: 0.0185 2022/12/05 08:10:19 - mmengine - INFO - Epoch(train) [5][3500/4451] lr: 7.2942e-02 eta: 3:11:41 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1087 loss: 0.0184 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7448 recall@top3: 0.8854 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.3875 loss_action_cls: 0.0184 2022/12/05 08:10:29 - mmengine - INFO - Epoch(train) [5][3520/4451] lr: 7.2864e-02 eta: 3:11:32 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1016 loss: 0.0184 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7963 recall@top3: 0.8333 prec@top3: 0.6111 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0184 2022/12/05 08:10:39 - mmengine - INFO - Epoch(train) [5][3540/4451] lr: 7.2785e-02 eta: 3:11:22 time: 0.4959 data_time: 0.0107 memory: 16785 grad_norm: 0.1053 loss: 0.0184 recall@thr=0.5: 0.8181 prec@thr=0.5: 0.8299 recall@top3: 0.7889 prec@top3: 0.8056 recall@top5: 0.9896 prec@top5: 0.6000 loss_action_cls: 0.0184 2022/12/05 08:10:49 - mmengine - INFO - Epoch(train) [5][3560/4451] lr: 7.2707e-02 eta: 3:11:12 time: 0.5108 data_time: 0.0107 memory: 16785 grad_norm: 0.1106 loss: 0.0184 recall@thr=0.5: 0.5921 prec@thr=0.5: 0.6491 recall@top3: 0.7237 prec@top3: 0.5965 recall@top5: 0.8158 prec@top5: 0.4211 loss_action_cls: 0.0184 2022/12/05 08:10:59 - mmengine - INFO - Epoch(train) [5][3580/4451] lr: 7.2628e-02 eta: 3:11:02 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1119 loss: 0.0178 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7994 recall@top3: 0.8272 prec@top3: 0.7037 recall@top5: 0.8951 prec@top5: 0.4593 loss_action_cls: 0.0178 2022/12/05 08:11:09 - mmengine - INFO - Epoch(train) [5][3600/4451] lr: 7.2549e-02 eta: 3:10:52 time: 0.4958 data_time: 0.0114 memory: 16785 grad_norm: 0.1020 loss: 0.0168 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.9667 recall@top3: 0.8333 prec@top3: 0.6267 recall@top5: 0.9200 prec@top5: 0.4320 loss_action_cls: 0.0168 2022/12/05 08:11:19 - mmengine - INFO - Epoch(train) [5][3620/4451] lr: 7.2470e-02 eta: 3:10:42 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1047 loss: 0.0198 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.8284 recall@top3: 0.8922 prec@top3: 0.7451 recall@top5: 0.9608 prec@top5: 0.4941 loss_action_cls: 0.0198 2022/12/05 08:11:29 - mmengine - INFO - Epoch(train) [5][3640/4451] lr: 7.2392e-02 eta: 3:10:32 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1044 loss: 0.0183 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7083 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0183 2022/12/05 08:11:39 - mmengine - INFO - Epoch(train) [5][3660/4451] lr: 7.2313e-02 eta: 3:10:23 time: 0.4968 data_time: 0.0108 memory: 16785 grad_norm: 0.1055 loss: 0.0201 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8437 recall@top3: 0.8021 prec@top3: 0.6458 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0201 2022/12/05 08:11:49 - mmengine - INFO - Epoch(train) [5][3680/4451] lr: 7.2234e-02 eta: 3:10:13 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1058 loss: 0.0181 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6905 recall@top3: 0.7440 prec@top3: 0.5238 recall@top5: 0.8690 prec@top5: 0.3857 loss_action_cls: 0.0181 2022/12/05 08:11:59 - mmengine - INFO - Epoch(train) [5][3700/4451] lr: 7.2155e-02 eta: 3:10:03 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1036 loss: 0.0181 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5625 recall@top3: 0.8264 prec@top3: 0.5556 recall@top5: 0.8542 prec@top5: 0.3500 loss_action_cls: 0.0181 2022/12/05 08:12:09 - mmengine - INFO - Epoch(train) [5][3720/4451] lr: 7.2076e-02 eta: 3:09:53 time: 0.4966 data_time: 0.0112 memory: 16785 grad_norm: 0.1044 loss: 0.0192 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7803 recall@top3: 0.9318 prec@top3: 0.7424 recall@top5: 0.9697 prec@top5: 0.4636 loss_action_cls: 0.0192 2022/12/05 08:12:18 - mmengine - INFO - Epoch(train) [5][3740/4451] lr: 7.1996e-02 eta: 3:09:43 time: 0.4958 data_time: 0.0105 memory: 16785 grad_norm: 0.1111 loss: 0.0187 recall@thr=0.5: 0.5603 prec@thr=0.5: 0.7356 recall@top3: 0.8333 prec@top3: 0.6092 recall@top5: 0.9310 prec@top5: 0.4207 loss_action_cls: 0.0187 2022/12/05 08:12:28 - mmengine - INFO - Epoch(train) [5][3760/4451] lr: 7.1917e-02 eta: 3:09:33 time: 0.4951 data_time: 0.0109 memory: 16785 grad_norm: 0.1114 loss: 0.0177 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.7051 recall@top3: 0.8782 prec@top3: 0.6410 recall@top5: 0.9744 prec@top5: 0.4462 loss_action_cls: 0.0177 2022/12/05 08:12:38 - mmengine - INFO - Epoch(train) [5][3780/4451] lr: 7.1838e-02 eta: 3:09:23 time: 0.4971 data_time: 0.0105 memory: 16785 grad_norm: 0.1065 loss: 0.0217 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.8681 recall@top3: 0.8361 prec@top3: 0.8056 recall@top5: 0.9583 prec@top5: 0.5833 loss_action_cls: 0.0217 2022/12/05 08:12:48 - mmengine - INFO - Epoch(train) [5][3800/4451] lr: 7.1758e-02 eta: 3:09:13 time: 0.4972 data_time: 0.0111 memory: 16785 grad_norm: 0.0994 loss: 0.0200 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8016 recall@top3: 0.7937 prec@top3: 0.6984 recall@top5: 0.9841 prec@top5: 0.5048 loss_action_cls: 0.0200 2022/12/05 08:12:58 - mmengine - INFO - Epoch(train) [5][3820/4451] lr: 7.1679e-02 eta: 3:09:03 time: 0.4952 data_time: 0.0107 memory: 16785 grad_norm: 0.1072 loss: 0.0190 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.7963 recall@top3: 0.8889 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0190 2022/12/05 08:13:08 - mmengine - INFO - Epoch(train) [5][3840/4451] lr: 7.1599e-02 eta: 3:08:53 time: 0.4966 data_time: 0.0108 memory: 16785 grad_norm: 0.1024 loss: 0.0168 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.6852 recall@top3: 0.8380 prec@top3: 0.6111 recall@top5: 0.9537 prec@top5: 0.4444 loss_action_cls: 0.0168 2022/12/05 08:13:18 - mmengine - INFO - Epoch(train) [5][3860/4451] lr: 7.1520e-02 eta: 3:08:44 time: 0.4960 data_time: 0.0108 memory: 16785 grad_norm: 0.1060 loss: 0.0183 recall@thr=0.5: 0.9015 prec@thr=0.5: 0.7727 recall@top3: 1.0000 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0183 2022/12/05 08:13:28 - mmengine - INFO - Epoch(train) [5][3880/4451] lr: 7.1440e-02 eta: 3:08:34 time: 0.4962 data_time: 0.0114 memory: 16785 grad_norm: 0.0997 loss: 0.0171 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.8188 recall@top3: 0.8514 prec@top3: 0.6812 recall@top5: 0.9239 prec@top5: 0.4609 loss_action_cls: 0.0171 2022/12/05 08:13:38 - mmengine - INFO - Epoch(train) [5][3900/4451] lr: 7.1360e-02 eta: 3:08:24 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1084 loss: 0.0192 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.8000 recall@top3: 0.9250 prec@top3: 0.5167 recall@top5: 0.9500 prec@top5: 0.3200 loss_action_cls: 0.0192 2022/12/05 08:13:48 - mmengine - INFO - Epoch(train) [5][3920/4451] lr: 7.1281e-02 eta: 3:08:14 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1045 loss: 0.0184 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8571 recall@top3: 0.9315 prec@top3: 0.7262 recall@top5: 0.9732 prec@top5: 0.4643 loss_action_cls: 0.0184 2022/12/05 08:13:58 - mmengine - INFO - Epoch(train) [5][3940/4451] lr: 7.1201e-02 eta: 3:08:04 time: 0.4964 data_time: 0.0105 memory: 16785 grad_norm: 0.1086 loss: 0.0202 recall@thr=0.5: 0.7794 prec@thr=0.5: 0.8235 recall@top3: 0.8235 prec@top3: 0.7451 recall@top5: 0.8971 prec@top5: 0.4941 loss_action_cls: 0.0202 2022/12/05 08:14:08 - mmengine - INFO - Epoch(train) [5][3960/4451] lr: 7.1121e-02 eta: 3:07:54 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1050 loss: 0.0189 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7157 recall@top3: 0.8431 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0189 2022/12/05 08:14:18 - mmengine - INFO - Epoch(train) [5][3980/4451] lr: 7.1041e-02 eta: 3:07:44 time: 0.4954 data_time: 0.0108 memory: 16785 grad_norm: 0.1064 loss: 0.0195 recall@thr=0.5: 0.6235 prec@thr=0.5: 0.6358 recall@top3: 0.8086 prec@top3: 0.6049 recall@top5: 0.9691 prec@top5: 0.4370 loss_action_cls: 0.0195 2022/12/05 08:14:27 - mmengine - INFO - Epoch(train) [5][4000/4451] lr: 7.0961e-02 eta: 3:07:34 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1074 loss: 0.0179 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.8431 recall@top3: 0.8922 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.3647 loss_action_cls: 0.0179 2022/12/05 08:14:37 - mmengine - INFO - Epoch(train) [5][4020/4451] lr: 7.0880e-02 eta: 3:07:24 time: 0.4956 data_time: 0.0110 memory: 16785 grad_norm: 0.1085 loss: 0.0207 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7208 recall@top3: 0.7833 prec@top3: 0.6333 recall@top5: 0.8917 prec@top5: 0.4400 loss_action_cls: 0.0207 2022/12/05 08:14:47 - mmengine - INFO - Epoch(train) [5][4040/4451] lr: 7.0800e-02 eta: 3:07:14 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1024 loss: 0.0174 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.9069 recall@top3: 0.9412 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0174 2022/12/05 08:14:57 - mmengine - INFO - Epoch(train) [5][4060/4451] lr: 7.0720e-02 eta: 3:07:04 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1052 loss: 0.0180 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8690 recall@top3: 0.9048 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0180 2022/12/05 08:15:07 - mmengine - INFO - Epoch(train) [5][4080/4451] lr: 7.0640e-02 eta: 3:06:55 time: 0.4964 data_time: 0.0111 memory: 16785 grad_norm: 0.1040 loss: 0.0186 recall@thr=0.5: 0.7017 prec@thr=0.5: 0.8750 recall@top3: 0.8883 prec@top3: 0.6500 recall@top5: 0.9650 prec@top5: 0.4400 loss_action_cls: 0.0186 2022/12/05 08:15:17 - mmengine - INFO - Epoch(train) [5][4100/4451] lr: 7.0559e-02 eta: 3:06:45 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1099 loss: 0.0185 recall@thr=0.5: 0.8478 prec@thr=0.5: 0.8768 recall@top3: 0.8406 prec@top3: 0.7536 recall@top5: 0.9203 prec@top5: 0.5043 loss_action_cls: 0.0185 2022/12/05 08:15:27 - mmengine - INFO - Epoch(train) [5][4120/4451] lr: 7.0479e-02 eta: 3:06:35 time: 0.4962 data_time: 0.0112 memory: 16785 grad_norm: 0.1085 loss: 0.0185 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7576 recall@top3: 0.7576 prec@top3: 0.6212 recall@top5: 0.9773 prec@top5: 0.4545 loss_action_cls: 0.0185 2022/12/05 08:15:37 - mmengine - INFO - Epoch(train) [5][4140/4451] lr: 7.0398e-02 eta: 3:06:25 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1052 loss: 0.0186 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8333 recall@top3: 0.7652 prec@top3: 0.5000 recall@top5: 0.8712 prec@top5: 0.3636 loss_action_cls: 0.0186 2022/12/05 08:15:47 - mmengine - INFO - Epoch(train) [5][4160/4451] lr: 7.0318e-02 eta: 3:06:15 time: 0.4960 data_time: 0.0114 memory: 16785 grad_norm: 0.1031 loss: 0.0192 recall@thr=0.5: 0.4773 prec@thr=0.5: 0.6439 recall@top3: 0.8106 prec@top3: 0.6515 recall@top5: 0.8788 prec@top5: 0.4364 loss_action_cls: 0.0192 2022/12/05 08:15:57 - mmengine - INFO - Epoch(train) [5][4180/4451] lr: 7.0237e-02 eta: 3:06:05 time: 0.4950 data_time: 0.0104 memory: 16785 grad_norm: 0.1067 loss: 0.0196 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.8551 recall@top3: 0.8152 prec@top3: 0.7246 recall@top5: 0.9239 prec@top5: 0.5130 loss_action_cls: 0.0196 2022/12/05 08:16:05 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 08:16:07 - mmengine - INFO - Epoch(train) [5][4200/4451] lr: 7.0156e-02 eta: 3:05:55 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.0999 loss: 0.0182 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.5833 recall@top3: 0.6562 prec@top3: 0.5000 recall@top5: 0.9271 prec@top5: 0.4500 loss_action_cls: 0.0182 2022/12/05 08:16:17 - mmengine - INFO - Epoch(train) [5][4220/4451] lr: 7.0076e-02 eta: 3:05:45 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1072 loss: 0.0164 recall@thr=0.5: 0.4683 prec@thr=0.5: 0.5635 recall@top3: 0.8016 prec@top3: 0.3968 recall@top5: 0.8651 prec@top5: 0.2571 loss_action_cls: 0.0164 2022/12/05 08:16:27 - mmengine - INFO - Epoch(train) [5][4240/4451] lr: 6.9995e-02 eta: 3:05:35 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1001 loss: 0.0186 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.6667 recall@top3: 0.7708 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0186 2022/12/05 08:16:36 - mmengine - INFO - Epoch(train) [5][4260/4451] lr: 6.9914e-02 eta: 3:05:25 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1010 loss: 0.0180 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.9524 recall@top3: 0.9524 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0180 2022/12/05 08:16:46 - mmengine - INFO - Epoch(train) [5][4280/4451] lr: 6.9833e-02 eta: 3:05:15 time: 0.4952 data_time: 0.0115 memory: 16785 grad_norm: 0.1091 loss: 0.0195 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6042 recall@top3: 0.6250 prec@top3: 0.4375 recall@top5: 0.7917 prec@top5: 0.3375 loss_action_cls: 0.0195 2022/12/05 08:16:56 - mmengine - INFO - Epoch(train) [5][4300/4451] lr: 6.9752e-02 eta: 3:05:06 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.1008 loss: 0.0190 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7583 recall@top3: 0.8292 prec@top3: 0.7167 recall@top5: 0.9250 prec@top5: 0.4900 loss_action_cls: 0.0190 2022/12/05 08:17:06 - mmengine - INFO - Epoch(train) [5][4320/4451] lr: 6.9671e-02 eta: 3:04:56 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1065 loss: 0.0181 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.7735 recall@top3: 0.7045 prec@top3: 0.5606 recall@top5: 0.8864 prec@top5: 0.4273 loss_action_cls: 0.0181 2022/12/05 08:17:16 - mmengine - INFO - Epoch(train) [5][4340/4451] lr: 6.9590e-02 eta: 3:04:46 time: 0.4960 data_time: 0.0107 memory: 16785 grad_norm: 0.1036 loss: 0.0177 recall@thr=0.5: 0.7070 prec@thr=0.5: 0.8602 recall@top3: 0.8737 prec@top3: 0.6667 recall@top5: 0.9785 prec@top5: 0.4581 loss_action_cls: 0.0177 2022/12/05 08:17:26 - mmengine - INFO - Epoch(train) [5][4360/4451] lr: 6.9508e-02 eta: 3:04:36 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1056 loss: 0.0189 recall@thr=0.5: 0.6882 prec@thr=0.5: 0.8226 recall@top3: 0.7769 prec@top3: 0.5914 recall@top5: 0.8683 prec@top5: 0.4000 loss_action_cls: 0.0189 2022/12/05 08:17:36 - mmengine - INFO - Epoch(train) [5][4380/4451] lr: 6.9427e-02 eta: 3:04:26 time: 0.4955 data_time: 0.0106 memory: 16785 grad_norm: 0.1063 loss: 0.0202 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7763 recall@top3: 0.7982 prec@top3: 0.6140 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0202 2022/12/05 08:17:46 - mmengine - INFO - Epoch(train) [5][4400/4451] lr: 6.9346e-02 eta: 3:04:16 time: 0.4960 data_time: 0.0106 memory: 16785 grad_norm: 0.1060 loss: 0.0184 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6711 recall@top3: 0.8684 prec@top3: 0.5789 recall@top5: 0.9737 prec@top5: 0.4000 loss_action_cls: 0.0184 2022/12/05 08:17:56 - mmengine - INFO - Epoch(train) [5][4420/4451] lr: 6.9265e-02 eta: 3:04:06 time: 0.4947 data_time: 0.0109 memory: 16785 grad_norm: 0.1086 loss: 0.0181 recall@thr=0.5: 0.5605 prec@thr=0.5: 0.7160 recall@top3: 0.7105 prec@top3: 0.5309 recall@top5: 0.8704 prec@top5: 0.4148 loss_action_cls: 0.0181 2022/12/05 08:18:06 - mmengine - INFO - Epoch(train) [5][4440/4451] lr: 6.9183e-02 eta: 3:03:56 time: 0.4965 data_time: 0.0117 memory: 16785 grad_norm: 0.1030 loss: 0.0188 recall@thr=0.5: 0.6302 prec@thr=0.5: 0.5937 recall@top3: 0.8594 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0188 2022/12/05 08:18:11 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 08:18:11 - mmengine - INFO - Epoch(train) [5][4451/4451] lr: 6.9138e-02 eta: 3:03:51 time: 0.4916 data_time: 0.0121 memory: 16785 grad_norm: 0.1087 loss: 0.0176 recall@thr=0.5: 0.8141 prec@thr=0.5: 0.9359 recall@top3: 0.9071 prec@top3: 0.7436 recall@top5: 0.9904 prec@top5: 0.4923 loss_action_cls: 0.0176 2022/12/05 08:18:11 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/12/05 08:18:15 - mmengine - INFO - Epoch(val) [5][ 20/6282] eta: 0:04:27 time: 0.0427 data_time: 0.0056 memory: 1088 2022/12/05 08:18:16 - mmengine - INFO - Epoch(val) [5][ 40/6282] eta: 0:04:12 time: 0.0383 data_time: 0.0021 memory: 1088 2022/12/05 08:18:17 - mmengine - INFO - Epoch(val) [5][ 60/6282] eta: 0:04:07 time: 0.0384 data_time: 0.0021 memory: 1088 2022/12/05 08:18:18 - mmengine - INFO - Epoch(val) [5][ 80/6282] eta: 0:04:03 time: 0.0380 data_time: 0.0019 memory: 1088 2022/12/05 08:18:18 - mmengine - INFO - Epoch(val) [5][ 100/6282] eta: 0:04:01 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 08:18:19 - mmengine - INFO - Epoch(val) [5][ 120/6282] eta: 0:04:09 time: 0.0483 data_time: 0.0023 memory: 1231 2022/12/05 08:18:20 - mmengine - INFO - Epoch(val) [5][ 140/6282] eta: 0:04:20 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 08:18:22 - mmengine - INFO - Epoch(val) [5][ 160/6282] eta: 0:04:28 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 08:18:23 - mmengine - INFO - Epoch(val) [5][ 180/6282] eta: 0:04:34 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 08:18:24 - mmengine - INFO - Epoch(val) [5][ 200/6282] eta: 0:04:38 time: 0.0527 data_time: 0.0023 memory: 1231 2022/12/05 08:18:25 - mmengine - INFO - Epoch(val) [5][ 220/6282] eta: 0:04:35 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 08:18:25 - mmengine - INFO - Epoch(val) [5][ 240/6282] eta: 0:04:32 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 08:18:26 - mmengine - INFO - Epoch(val) [5][ 260/6282] eta: 0:04:30 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 08:18:27 - mmengine - INFO - Epoch(val) [5][ 280/6282] eta: 0:04:28 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 08:18:28 - mmengine - INFO - Epoch(val) [5][ 300/6282] eta: 0:04:28 time: 0.0481 data_time: 0.0026 memory: 1231 2022/12/05 08:18:29 - mmengine - INFO - Epoch(val) [5][ 320/6282] eta: 0:04:31 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 08:18:30 - mmengine - INFO - Epoch(val) [5][ 340/6282] eta: 0:04:33 time: 0.0543 data_time: 0.0026 memory: 1231 2022/12/05 08:18:31 - mmengine - INFO - Epoch(val) [5][ 360/6282] eta: 0:04:35 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 08:18:32 - mmengine - INFO - Epoch(val) [5][ 380/6282] eta: 0:04:36 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 08:18:33 - mmengine - INFO - Epoch(val) [5][ 400/6282] eta: 0:04:35 time: 0.0482 data_time: 0.0022 memory: 1231 2022/12/05 08:18:34 - mmengine - INFO - Epoch(val) [5][ 420/6282] eta: 0:04:33 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 08:18:35 - mmengine - INFO - Epoch(val) [5][ 440/6282] eta: 0:04:31 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 08:18:36 - mmengine - INFO - Epoch(val) [5][ 460/6282] eta: 0:04:29 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 08:18:37 - mmengine - INFO - Epoch(val) [5][ 480/6282] eta: 0:04:27 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 08:18:38 - mmengine - INFO - Epoch(val) [5][ 500/6282] eta: 0:04:25 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 08:18:38 - mmengine - INFO - Epoch(val) [5][ 520/6282] eta: 0:04:23 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 08:18:39 - mmengine - INFO - Epoch(val) [5][ 540/6282] eta: 0:04:22 time: 0.0428 data_time: 0.0027 memory: 1113 2022/12/05 08:18:40 - mmengine - INFO - Epoch(val) [5][ 560/6282] eta: 0:04:20 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 08:18:41 - mmengine - INFO - Epoch(val) [5][ 580/6282] eta: 0:04:19 time: 0.0430 data_time: 0.0023 memory: 1113 2022/12/05 08:18:42 - mmengine - INFO - Epoch(val) [5][ 600/6282] eta: 0:04:17 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 08:18:43 - mmengine - INFO - Epoch(val) [5][ 620/6282] eta: 0:04:16 time: 0.0414 data_time: 0.0020 memory: 1113 2022/12/05 08:18:43 - mmengine - INFO - Epoch(val) [5][ 640/6282] eta: 0:04:14 time: 0.0409 data_time: 0.0020 memory: 1105 2022/12/05 08:18:44 - mmengine - INFO - Epoch(val) [5][ 660/6282] eta: 0:04:12 time: 0.0406 data_time: 0.0020 memory: 1105 2022/12/05 08:18:45 - mmengine - INFO - Epoch(val) [5][ 680/6282] eta: 0:04:11 time: 0.0412 data_time: 0.0021 memory: 1105 2022/12/05 08:18:46 - mmengine - INFO - Epoch(val) [5][ 700/6282] eta: 0:04:09 time: 0.0407 data_time: 0.0020 memory: 1105 2022/12/05 08:18:47 - mmengine - INFO - Epoch(val) [5][ 720/6282] eta: 0:04:12 time: 0.0670 data_time: 0.0181 memory: 1231 2022/12/05 08:18:49 - mmengine - INFO - Epoch(val) [5][ 740/6282] eta: 0:04:17 time: 0.0853 data_time: 0.0328 memory: 1231 2022/12/05 08:18:51 - mmengine - INFO 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eta: 0:03:58 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 08:19:05 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:03:57 time: 0.0417 data_time: 0.0020 memory: 1113 2022/12/05 08:19:06 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:03:56 time: 0.0420 data_time: 0.0021 memory: 1113 2022/12/05 08:19:07 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:03:54 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:19:08 - mmengine - INFO - Epoch(val) [5][1160/6282] eta: 0:03:53 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 08:19:08 - mmengine - INFO - Epoch(val) [5][1180/6282] eta: 0:03:52 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 08:19:09 - mmengine - INFO - Epoch(val) [5][1200/6282] eta: 0:03:51 time: 0.0426 data_time: 0.0021 memory: 1113 2022/12/05 08:19:10 - mmengine - INFO - Epoch(val) [5][1220/6282] eta: 0:03:50 time: 0.0427 data_time: 0.0021 memory: 1113 2022/12/05 08:19:12 - mmengine - INFO - Epoch(val) [5][1240/6282] eta: 0:03:53 time: 0.0915 data_time: 0.0394 memory: 1231 2022/12/05 08:19:13 - mmengine - INFO - Epoch(val) [5][1260/6282] eta: 0:03:54 time: 0.0718 data_time: 0.0197 memory: 1231 2022/12/05 08:19:15 - mmengine - INFO - Epoch(val) [5][1280/6282] eta: 0:03:56 time: 0.0897 data_time: 0.0378 memory: 1231 2022/12/05 08:19:17 - mmengine - INFO - Epoch(val) [5][1300/6282] eta: 0:03:58 time: 0.0823 data_time: 0.0298 memory: 1231 2022/12/05 08:19:19 - mmengine - INFO - Epoch(val) [5][1320/6282] eta: 0:04:00 time: 0.0915 data_time: 0.0396 memory: 1231 2022/12/05 08:19:20 - mmengine - INFO - Epoch(val) [5][1340/6282] eta: 0:04:01 time: 0.0770 data_time: 0.0252 memory: 1231 2022/12/05 08:19:22 - mmengine - INFO - Epoch(val) [5][1360/6282] eta: 0:04:03 time: 0.0877 data_time: 0.0358 memory: 1231 2022/12/05 08:19:23 - mmengine - INFO - Epoch(val) [5][1380/6282] eta: 0:04:04 time: 0.0745 data_time: 0.0223 memory: 1231 2022/12/05 08:19:25 - mmengine - INFO - Epoch(val) [5][1400/6282] eta: 0:04:04 time: 0.0616 data_time: 0.0102 memory: 1231 2022/12/05 08:19:26 - mmengine - INFO - Epoch(val) [5][1420/6282] eta: 0:04:03 time: 0.0538 data_time: 0.0021 memory: 1231 2022/12/05 08:19:27 - mmengine - INFO - Epoch(val) [5][1440/6282] eta: 0:04:02 time: 0.0534 data_time: 0.0020 memory: 1231 2022/12/05 08:19:28 - mmengine - INFO - Epoch(val) [5][1460/6282] eta: 0:04:01 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 08:19:29 - mmengine - INFO - Epoch(val) [5][1480/6282] eta: 0:04:01 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 08:19:30 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:04:00 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 08:19:31 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:03:59 time: 0.0544 data_time: 0.0022 memory: 1404 2022/12/05 08:19:33 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:03:59 time: 0.0687 data_time: 0.0027 memory: 1404 2022/12/05 08:19:34 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:03:59 time: 0.0683 data_time: 0.0025 memory: 1404 2022/12/05 08:19:35 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:03:59 time: 0.0684 data_time: 0.0025 memory: 1404 2022/12/05 08:19:37 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:03:59 time: 0.0682 data_time: 0.0025 memory: 1404 2022/12/05 08:19:38 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:03:59 time: 0.0680 data_time: 0.0024 memory: 1404 2022/12/05 08:19:39 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:03:58 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 08:19:40 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:03:57 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 08:19:41 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:03:57 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 08:19:42 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:03:56 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 08:19:43 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:03:55 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 08:19:44 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:03:54 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 08:19:46 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:03:53 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 08:19:47 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:03:52 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 08:19:48 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:03:51 time: 0.0543 data_time: 0.0023 memory: 1231 2022/12/05 08:19:49 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:03:50 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 08:19:50 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:03:49 time: 0.0549 data_time: 0.0026 memory: 1231 2022/12/05 08:19:51 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:03:49 time: 0.0752 data_time: 0.0229 memory: 1231 2022/12/05 08:19:53 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:03:49 time: 0.0756 data_time: 0.0233 memory: 1231 2022/12/05 08:19:55 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:03:50 time: 0.0847 data_time: 0.0329 memory: 1231 2022/12/05 08:19:56 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:03:49 time: 0.0568 data_time: 0.0048 memory: 1231 2022/12/05 08:19:57 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:03:48 time: 0.0505 data_time: 0.0020 memory: 1231 2022/12/05 08:19:58 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:03:46 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 08:19:58 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:03:45 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 08:19:59 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:03:43 time: 0.0418 data_time: 0.0018 memory: 1122 2022/12/05 08:20:00 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:03:42 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 08:20:01 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:03:40 time: 0.0420 data_time: 0.0020 memory: 1122 2022/12/05 08:20:02 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:03:39 time: 0.0420 data_time: 0.0020 memory: 1122 2022/12/05 08:20:03 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:03:37 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 08:20:04 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:03:36 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 08:20:04 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:03:35 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 08:20:05 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:03:33 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 08:20:06 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:03:32 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:20:07 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:03:30 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:20:08 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:03:29 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:20:09 - mmengine - INFO 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eta: 0:03:09 time: 0.0550 data_time: 0.0026 memory: 1231 2022/12/05 08:20:25 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:03:08 time: 0.0695 data_time: 0.0175 memory: 1231 2022/12/05 08:20:27 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:03:08 time: 0.0938 data_time: 0.0405 memory: 1231 2022/12/05 08:20:28 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:03:08 time: 0.0809 data_time: 0.0285 memory: 1231 2022/12/05 08:20:30 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:03:08 time: 0.0793 data_time: 0.0274 memory: 1231 2022/12/05 08:20:31 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:03:07 time: 0.0591 data_time: 0.0073 memory: 1231 2022/12/05 08:20:32 - mmengine - INFO - Epoch(val) [5][2660/6282] eta: 0:03:07 time: 0.0662 data_time: 0.0021 memory: 1388 2022/12/05 08:20:34 - mmengine - INFO - Epoch(val) [5][2680/6282] eta: 0:03:06 time: 0.0665 data_time: 0.0025 memory: 1388 2022/12/05 08:20:35 - mmengine - INFO - Epoch(val) [5][2700/6282] eta: 0:03:05 time: 0.0665 data_time: 0.0025 memory: 1388 2022/12/05 08:20:36 - mmengine - INFO - Epoch(val) [5][2720/6282] eta: 0:03:05 time: 0.0670 data_time: 0.0025 memory: 1388 2022/12/05 08:20:38 - mmengine - INFO - Epoch(val) [5][2740/6282] eta: 0:03:04 time: 0.0630 data_time: 0.0025 memory: 1388 2022/12/05 08:20:38 - mmengine - INFO - Epoch(val) [5][2760/6282] eta: 0:03:03 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 08:20:39 - mmengine - INFO - Epoch(val) [5][2780/6282] eta: 0:03:01 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 08:20:40 - mmengine - INFO - Epoch(val) [5][2800/6282] eta: 0:03:00 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 08:20:41 - mmengine - INFO - Epoch(val) [5][2820/6282] eta: 0:02:59 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 08:20:42 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:02:58 time: 0.0433 data_time: 0.0024 memory: 1122 2022/12/05 08:20:43 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:02:57 time: 0.0513 data_time: 0.0026 memory: 1231 2022/12/05 08:20:44 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:02:56 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 08:20:45 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:02:55 time: 0.0541 data_time: 0.0025 memory: 1231 2022/12/05 08:20:46 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:02:53 time: 0.0480 data_time: 0.0021 memory: 1231 2022/12/05 08:20:47 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:02:52 time: 0.0461 data_time: 0.0021 memory: 1170 2022/12/05 08:20:48 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:02:51 time: 0.0460 data_time: 0.0020 memory: 1170 2022/12/05 08:20:49 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:02:50 time: 0.0460 data_time: 0.0021 memory: 1170 2022/12/05 08:20:50 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:02:49 time: 0.0462 data_time: 0.0021 memory: 1170 2022/12/05 08:20:51 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:02:48 time: 0.0529 data_time: 0.0021 memory: 1231 2022/12/05 08:20:52 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:02:47 time: 0.0541 data_time: 0.0021 memory: 1231 2022/12/05 08:20:53 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:02:46 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 08:20:54 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:02:45 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 08:20:55 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:02:44 time: 0.0478 data_time: 0.0020 memory: 1231 2022/12/05 08:20:56 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:02:42 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 08:20:57 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:02:41 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 08:20:57 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:02:40 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 08:20:58 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:02:39 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 08:20:59 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:02:38 time: 0.0508 data_time: 0.0023 memory: 1231 2022/12/05 08:21:00 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:02:37 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 08:21:02 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:02:36 time: 0.0547 data_time: 0.0022 memory: 1231 2022/12/05 08:21:03 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:02:35 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 08:21:04 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:02:34 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 08:21:05 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:02:33 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 08:21:06 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:02:32 time: 0.0542 data_time: 0.0022 memory: 1231 2022/12/05 08:21:07 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:02:31 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 08:21:08 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:02:30 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 08:21:09 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:02:29 time: 0.0499 data_time: 0.0020 memory: 1231 2022/12/05 08:21:10 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:02:28 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 08:21:11 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:02:27 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 08:21:12 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:02:25 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:21:12 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:02:24 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:21:13 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:02:23 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 08:21:14 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:02:22 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:21:15 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:02:21 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:21:16 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:02:19 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 08:21:17 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:02:18 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:21:17 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:02:17 time: 0.0445 data_time: 0.0020 memory: 1197 2022/12/05 08:21:18 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:02:16 time: 0.0477 data_time: 0.0021 memory: 1197 2022/12/05 08:21:19 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:02:15 time: 0.0484 data_time: 0.0023 memory: 1197 2022/12/05 08:21:20 - mmengine - INFO - Epoch(val) [5][3640/6282] eta: 0:02:14 time: 0.0479 data_time: 0.0021 memory: 1197 2022/12/05 08:21:21 - mmengine - INFO - Epoch(val) [5][3660/6282] eta: 0:02:13 time: 0.0482 data_time: 0.0022 memory: 1197 2022/12/05 08:21:22 - mmengine - INFO - Epoch(val) [5][3680/6282] eta: 0:02:12 time: 0.0513 data_time: 0.0024 memory: 1231 2022/12/05 08:21:23 - mmengine - INFO - Epoch(val) [5][3700/6282] eta: 0:02:11 time: 0.0542 data_time: 0.0025 memory: 1231 2022/12/05 08:21:24 - mmengine - INFO - Epoch(val) [5][3720/6282] eta: 0:02:10 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 08:21:26 - mmengine - INFO - Epoch(val) [5][3740/6282] eta: 0:02:09 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 08:21:27 - mmengine - INFO - Epoch(val) [5][3760/6282] eta: 0:02:08 time: 0.0544 data_time: 0.0026 memory: 1231 2022/12/05 08:21:28 - mmengine - INFO - Epoch(val) [5][3780/6282] eta: 0:02:07 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 08:21:29 - mmengine - INFO - Epoch(val) [5][3800/6282] eta: 0:02:06 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 08:21:30 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:02:05 time: 0.0541 data_time: 0.0025 memory: 1231 2022/12/05 08:21:31 - mmengine - INFO - Epoch(val) 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eta: 0:01:56 time: 0.0544 data_time: 0.0022 memory: 1231 2022/12/05 08:21:41 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:01:55 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 08:21:42 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:01:54 time: 0.0555 data_time: 0.0022 memory: 1388 2022/12/05 08:21:43 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:01:53 time: 0.0662 data_time: 0.0023 memory: 1388 2022/12/05 08:21:44 - mmengine - INFO - Epoch(val) [5][4080/6282] eta: 0:01:53 time: 0.0660 data_time: 0.0023 memory: 1388 2022/12/05 08:21:46 - mmengine - INFO - Epoch(val) [5][4100/6282] eta: 0:01:52 time: 0.0660 data_time: 0.0023 memory: 1388 2022/12/05 08:21:47 - mmengine - INFO - Epoch(val) [5][4120/6282] eta: 0:01:51 time: 0.0663 data_time: 0.0025 memory: 1388 2022/12/05 08:21:48 - mmengine - INFO - Epoch(val) [5][4140/6282] eta: 0:01:50 time: 0.0566 data_time: 0.0023 memory: 1388 2022/12/05 08:21:49 - mmengine - INFO - Epoch(val) [5][4160/6282] eta: 0:01:49 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 08:21:50 - mmengine - INFO - Epoch(val) [5][4180/6282] eta: 0:01:48 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 08:21:51 - mmengine - INFO - Epoch(val) [5][4200/6282] eta: 0:01:46 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:21:52 - mmengine - INFO - Epoch(val) [5][4220/6282] eta: 0:01:45 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 08:21:52 - mmengine - INFO - Epoch(val) [5][4240/6282] eta: 0:01:44 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:21:53 - mmengine - INFO - Epoch(val) [5][4260/6282] eta: 0:01:43 time: 0.0416 data_time: 0.0019 memory: 1111 2022/12/05 08:21:54 - mmengine - INFO - Epoch(val) [5][4280/6282] eta: 0:01:42 time: 0.0417 data_time: 0.0019 memory: 1111 2022/12/05 08:21:55 - mmengine - INFO - Epoch(val) [5][4300/6282] eta: 0:01:41 time: 0.0415 data_time: 0.0019 memory: 1111 2022/12/05 08:21:56 - mmengine - INFO - Epoch(val) [5][4320/6282] eta: 0:01:40 time: 0.0417 data_time: 0.0019 memory: 1111 2022/12/05 08:21:57 - mmengine - INFO - Epoch(val) [5][4340/6282] eta: 0:01:39 time: 0.0416 data_time: 0.0019 memory: 1111 2022/12/05 08:21:58 - mmengine - INFO - Epoch(val) [5][4360/6282] eta: 0:01:38 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 08:21:59 - mmengine - INFO - Epoch(val) [5][4380/6282] eta: 0:01:37 time: 0.0540 data_time: 0.0026 memory: 1231 2022/12/05 08:22:00 - mmengine - INFO - Epoch(val) [5][4400/6282] eta: 0:01:36 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 08:22:01 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:01:35 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 08:22:02 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:01:34 time: 0.0543 data_time: 0.0023 memory: 1245 2022/12/05 08:22:03 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:01:33 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 08:22:04 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:01:32 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 08:22:05 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:01:31 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 08:22:06 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:01:30 time: 0.0513 data_time: 0.0021 memory: 1245 2022/12/05 08:22:07 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:29 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 08:22:08 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:27 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 08:22:09 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:26 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 08:22:10 - mmengine - INFO - Epoch(val) [5][4600/6282] eta: 0:01:25 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 08:22:11 - mmengine - INFO - Epoch(val) [5][4620/6282] eta: 0:01:24 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 08:22:12 - mmengine - INFO - Epoch(val) [5][4640/6282] eta: 0:01:23 time: 0.0543 data_time: 0.0021 memory: 1245 2022/12/05 08:22:13 - mmengine - INFO - Epoch(val) [5][4660/6282] eta: 0:01:22 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 08:22:14 - mmengine - INFO - Epoch(val) [5][4680/6282] eta: 0:01:21 time: 0.0543 data_time: 0.0022 memory: 1245 2022/12/05 08:22:15 - mmengine - INFO - Epoch(val) [5][4700/6282] eta: 0:01:20 time: 0.0543 data_time: 0.0021 memory: 1245 2022/12/05 08:22:16 - mmengine - INFO - Epoch(val) [5][4720/6282] eta: 0:01:19 time: 0.0529 data_time: 0.0021 memory: 1245 2022/12/05 08:22:17 - mmengine - INFO - Epoch(val) [5][4740/6282] eta: 0:01:18 time: 0.0458 data_time: 0.0019 memory: 1164 2022/12/05 08:22:18 - mmengine - INFO - Epoch(val) [5][4760/6282] eta: 0:01:17 time: 0.0459 data_time: 0.0020 memory: 1164 2022/12/05 08:22:19 - mmengine - INFO - Epoch(val) [5][4780/6282] eta: 0:01:16 time: 0.0458 data_time: 0.0020 memory: 1164 2022/12/05 08:22:20 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:15 time: 0.0483 data_time: 0.0038 memory: 1164 2022/12/05 08:22:21 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:01:14 time: 0.0501 data_time: 0.0021 memory: 1231 2022/12/05 08:22:22 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:13 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 08:22:23 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:12 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 08:22:24 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:01:11 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 08:22:25 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:10 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 08:22:26 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:09 time: 0.0537 data_time: 0.0021 memory: 1237 2022/12/05 08:22:27 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:01:08 time: 0.0541 data_time: 0.0022 memory: 1237 2022/12/05 08:22:28 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:07 time: 0.0539 data_time: 0.0021 memory: 1237 2022/12/05 08:22:29 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:06 time: 0.0539 data_time: 0.0022 memory: 1237 2022/12/05 08:22:30 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:01:05 time: 0.0536 data_time: 0.0021 memory: 1237 2022/12/05 08:22:31 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:01:04 time: 0.0476 data_time: 0.0021 memory: 1237 2022/12/05 08:22:32 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:01:03 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 08:22:33 - mmengine - INFO - Epoch(val) [5][5060/6282] eta: 0:01:02 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 08:22:34 - mmengine - INFO - Epoch(val) [5][5080/6282] eta: 0:01:01 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 08:22:35 - mmengine - INFO - Epoch(val) [5][5100/6282] eta: 0:01:00 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 08:22:36 - mmengine - INFO - Epoch(val) [5][5120/6282] eta: 0:00:59 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 08:22:36 - mmengine - INFO - Epoch(val) [5][5140/6282] eta: 0:00:58 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:22:37 - mmengine - INFO - Epoch(val) [5][5160/6282] eta: 0:00:56 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 08:22:38 - mmengine - INFO - Epoch(val) [5][5180/6282] eta: 0:00:55 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 08:22:39 - mmengine - INFO - Epoch(val) [5][5200/6282] eta: 0:00:54 time: 0.0417 data_time: 0.0018 memory: 1113 2022/12/05 08:22:40 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:00:53 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 08:22:41 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:00:52 time: 0.0418 data_time: 0.0020 memory: 1111 2022/12/05 08:22:41 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:00:51 time: 0.0419 data_time: 0.0019 memory: 1111 2022/12/05 08:22:42 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:00:50 time: 0.0419 data_time: 0.0019 memory: 1111 2022/12/05 08:22:43 - mmengine - INFO - Epoch(val) 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eta: 0:00:41 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 08:22:51 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:00:40 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:22:52 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:00:39 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:22:52 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:38 time: 0.0444 data_time: 0.0021 memory: 1155 2022/12/05 08:22:53 - mmengine - INFO - Epoch(val) [5][5540/6282] eta: 0:00:37 time: 0.0449 data_time: 0.0020 memory: 1155 2022/12/05 08:22:54 - mmengine - INFO - Epoch(val) [5][5560/6282] eta: 0:00:36 time: 0.0449 data_time: 0.0021 memory: 1155 2022/12/05 08:22:55 - mmengine - INFO - Epoch(val) [5][5580/6282] eta: 0:00:35 time: 0.0449 data_time: 0.0021 memory: 1155 2022/12/05 08:22:56 - mmengine - INFO - Epoch(val) [5][5600/6282] eta: 0:00:34 time: 0.0450 data_time: 0.0021 memory: 1155 2022/12/05 08:22:57 - mmengine - INFO - Epoch(val) [5][5620/6282] eta: 0:00:33 time: 0.0434 data_time: 0.0025 memory: 1155 2022/12/05 08:22:58 - mmengine - INFO - Epoch(val) [5][5640/6282] eta: 0:00:32 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 08:22:59 - mmengine - INFO - Epoch(val) [5][5660/6282] eta: 0:00:31 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 08:22:59 - mmengine - INFO - Epoch(val) [5][5680/6282] eta: 0:00:30 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 08:23:00 - mmengine - INFO - Epoch(val) [5][5700/6282] eta: 0:00:29 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 08:23:01 - mmengine - INFO - Epoch(val) [5][5720/6282] eta: 0:00:28 time: 0.0443 data_time: 0.0020 memory: 1181 2022/12/05 08:23:02 - mmengine - INFO - Epoch(val) [5][5740/6282] eta: 0:00:27 time: 0.0483 data_time: 0.0024 memory: 1181 2022/12/05 08:23:03 - mmengine - INFO - Epoch(val) [5][5760/6282] eta: 0:00:26 time: 0.0473 data_time: 0.0022 memory: 1181 2022/12/05 08:23:04 - mmengine - INFO - Epoch(val) [5][5780/6282] eta: 0:00:25 time: 0.0471 data_time: 0.0022 memory: 1181 2022/12/05 08:23:05 - mmengine - INFO - Epoch(val) [5][5800/6282] eta: 0:00:24 time: 0.0470 data_time: 0.0022 memory: 1181 2022/12/05 08:23:06 - mmengine - INFO - Epoch(val) [5][5820/6282] eta: 0:00:23 time: 0.0457 data_time: 0.0019 memory: 1181 2022/12/05 08:23:07 - mmengine - INFO - Epoch(val) [5][5840/6282] eta: 0:00:22 time: 0.0450 data_time: 0.0021 memory: 1155 2022/12/05 08:23:08 - mmengine - INFO - Epoch(val) [5][5860/6282] eta: 0:00:21 time: 0.0450 data_time: 0.0020 memory: 1155 2022/12/05 08:23:09 - mmengine - INFO - Epoch(val) [5][5880/6282] eta: 0:00:20 time: 0.0449 data_time: 0.0021 memory: 1155 2022/12/05 08:23:10 - mmengine - INFO - Epoch(val) [5][5900/6282] eta: 0:00:19 time: 0.0449 data_time: 0.0020 memory: 1155 2022/12/05 08:23:10 - mmengine - INFO - Epoch(val) [5][5920/6282] eta: 0:00:18 time: 0.0430 data_time: 0.0019 memory: 1155 2022/12/05 08:23:11 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:17 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 08:23:12 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:16 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 08:23:13 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:15 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 08:23:14 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:14 time: 0.0511 data_time: 0.0023 memory: 1231 2022/12/05 08:23:15 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:13 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 08:23:16 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:12 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 08:23:17 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:11 time: 0.0539 data_time: 0.0024 memory: 1231 2022/12/05 08:23:18 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:10 time: 0.0546 data_time: 0.0026 memory: 1231 2022/12/05 08:23:19 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:09 time: 0.0543 data_time: 0.0022 memory: 1231 2022/12/05 08:23:20 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:08 time: 0.0544 data_time: 0.0023 memory: 1231 2022/12/05 08:23:22 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:07 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 08:23:23 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:06 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 08:23:24 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:05 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 08:23:25 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:04 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 08:23:26 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:03 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 08:23:27 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:02 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 08:23:28 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:01 time: 0.0533 data_time: 0.0021 memory: 1231 2022/12/05 08:23:29 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0535 data_time: 0.0020 memory: 1231 2022/12/05 08:28:50 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.3010 2022/12/05 08:29:01 - mmengine - INFO - Epoch(train) [6][ 20/4451] lr: 6.9057e-02 eta: 3:03:42 time: 0.5789 data_time: 0.0644 memory: 16785 grad_norm: 0.1079 loss: 0.0197 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.7000 recall@top3: 0.9375 prec@top3: 0.7000 recall@top5: 0.9833 prec@top5: 0.4500 loss_action_cls: 0.0197 2022/12/05 08:29:11 - mmengine - INFO - Epoch(train) [6][ 40/4451] lr: 6.8975e-02 eta: 3:03:33 time: 0.4987 data_time: 0.0125 memory: 16785 grad_norm: 0.1013 loss: 0.0168 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8413 recall@top3: 0.8651 prec@top3: 0.6190 recall@top5: 0.9762 prec@top5: 0.4381 loss_action_cls: 0.0168 2022/12/05 08:29:21 - mmengine - INFO - Epoch(train) [6][ 60/4451] lr: 6.8893e-02 eta: 3:03:23 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1106 loss: 0.0180 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.7800 recall@top3: 0.8233 prec@top3: 0.6000 recall@top5: 0.9133 prec@top5: 0.4080 loss_action_cls: 0.0180 2022/12/05 08:29:31 - mmengine - INFO - Epoch(train) [6][ 80/4451] lr: 6.8812e-02 eta: 3:03:13 time: 0.4963 data_time: 0.0108 memory: 16785 grad_norm: 0.1057 loss: 0.0181 recall@thr=0.5: 0.5040 prec@thr=0.5: 0.6984 recall@top3: 0.7381 prec@top3: 0.5238 recall@top5: 0.8611 prec@top5: 0.3810 loss_action_cls: 0.0181 2022/12/05 08:29:41 - mmengine - INFO - Epoch(train) [6][ 100/4451] lr: 6.8730e-02 eta: 3:03:03 time: 0.4955 data_time: 0.0110 memory: 16785 grad_norm: 0.1051 loss: 0.0186 recall@thr=0.5: 0.8025 prec@thr=0.5: 0.8210 recall@top3: 0.8519 prec@top3: 0.7407 recall@top5: 0.9722 prec@top5: 0.5111 loss_action_cls: 0.0186 2022/12/05 08:29:51 - mmengine - INFO - Epoch(train) [6][ 120/4451] lr: 6.8648e-02 eta: 3:02:53 time: 0.4958 data_time: 0.0109 memory: 16785 grad_norm: 0.1078 loss: 0.0190 recall@thr=0.5: 0.8993 prec@thr=0.5: 0.8299 recall@top3: 0.8785 prec@top3: 0.7361 recall@top5: 0.9896 prec@top5: 0.5083 loss_action_cls: 0.0190 2022/12/05 08:30:01 - mmengine - INFO - Epoch(train) [6][ 140/4451] lr: 6.8566e-02 eta: 3:02:43 time: 0.4954 data_time: 0.0108 memory: 16785 grad_norm: 0.1055 loss: 0.0167 recall@thr=0.5: 1.0000 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.4524 recall@top5: 1.0000 prec@top5: 0.2714 loss_action_cls: 0.0167 2022/12/05 08:30:11 - mmengine - INFO - Epoch(train) [6][ 160/4451] lr: 6.8484e-02 eta: 3:02:33 time: 0.4951 data_time: 0.0110 memory: 16785 grad_norm: 0.1066 loss: 0.0195 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7143 recall@top3: 0.7857 prec@top3: 0.5397 recall@top5: 0.8889 prec@top5: 0.3810 loss_action_cls: 0.0195 2022/12/05 08:30:21 - mmengine - INFO - Epoch(train) [6][ 180/4451] lr: 6.8402e-02 eta: 3:02:23 time: 0.4960 data_time: 0.0116 memory: 16785 grad_norm: 0.1080 loss: 0.0190 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7807 recall@top3: 0.8947 prec@top3: 0.5439 recall@top5: 0.9474 prec@top5: 0.3579 loss_action_cls: 0.0190 2022/12/05 08:30:31 - mmengine - INFO - Epoch(train) [6][ 200/4451] lr: 6.8320e-02 eta: 3:02:13 time: 0.4955 data_time: 0.0102 memory: 16785 grad_norm: 0.1052 loss: 0.0177 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8909 recall@top3: 0.7652 prec@top3: 0.7424 recall@top5: 0.9545 prec@top5: 0.5364 loss_action_cls: 0.0177 2022/12/05 08:30:41 - mmengine - INFO - Epoch(train) [6][ 220/4451] lr: 6.8238e-02 eta: 3:02:03 time: 0.4953 data_time: 0.0108 memory: 16785 grad_norm: 0.1069 loss: 0.0175 recall@thr=0.5: 0.5576 prec@thr=0.5: 0.6364 recall@top3: 0.7758 prec@top3: 0.6061 recall@top5: 0.9250 prec@top5: 0.4636 loss_action_cls: 0.0175 2022/12/05 08:30:51 - mmengine - INFO - Epoch(train) [6][ 240/4451] lr: 6.8156e-02 eta: 3:01:53 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1049 loss: 0.0178 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7000 recall@top3: 0.8458 prec@top3: 0.5333 recall@top5: 0.8750 prec@top5: 0.3400 loss_action_cls: 0.0178 2022/12/05 08:31:01 - mmengine - INFO - Epoch(train) [6][ 260/4451] lr: 6.8074e-02 eta: 3:01:43 time: 0.4956 data_time: 0.0106 memory: 16785 grad_norm: 0.1067 loss: 0.0190 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7857 recall@top3: 0.8373 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0190 2022/12/05 08:31:10 - mmengine - INFO - Epoch(train) [6][ 280/4451] lr: 6.7991e-02 eta: 3:01:34 time: 0.4949 data_time: 0.0109 memory: 16785 grad_norm: 0.1063 loss: 0.0190 recall@thr=0.5: 0.6712 prec@thr=0.5: 0.7727 recall@top3: 0.8273 prec@top3: 0.5758 recall@top5: 0.9583 prec@top5: 0.4364 loss_action_cls: 0.0190 2022/12/05 08:31:20 - mmengine - INFO - Epoch(train) [6][ 300/4451] lr: 6.7909e-02 eta: 3:01:24 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1110 loss: 0.0187 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.5769 recall@top3: 0.5897 prec@top3: 0.5128 recall@top5: 0.6667 prec@top5: 0.3385 loss_action_cls: 0.0187 2022/12/05 08:31:30 - mmengine - INFO - Epoch(train) [6][ 320/4451] lr: 6.7827e-02 eta: 3:01:14 time: 0.4944 data_time: 0.0106 memory: 16785 grad_norm: 0.1074 loss: 0.0162 recall@thr=0.5: 0.7465 prec@thr=0.5: 0.8194 recall@top3: 0.7743 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4417 loss_action_cls: 0.0162 2022/12/05 08:31:40 - mmengine - INFO - Epoch(train) [6][ 340/4451] lr: 6.7744e-02 eta: 3:01:04 time: 0.4950 data_time: 0.0110 memory: 16785 grad_norm: 0.1064 loss: 0.0176 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7639 recall@top3: 0.8889 prec@top3: 0.4722 recall@top5: 1.0000 prec@top5: 0.3333 loss_action_cls: 0.0176 2022/12/05 08:31:50 - mmengine - INFO - Epoch(train) [6][ 360/4451] lr: 6.7662e-02 eta: 3:00:54 time: 0.4961 data_time: 0.0104 memory: 16785 grad_norm: 0.1031 loss: 0.0170 recall@thr=0.5: 0.7724 prec@thr=0.5: 0.7885 recall@top3: 0.8558 prec@top3: 0.7051 recall@top5: 0.9776 prec@top5: 0.5077 loss_action_cls: 0.0170 2022/12/05 08:32:00 - mmengine - INFO - Epoch(train) [6][ 380/4451] lr: 6.7579e-02 eta: 3:00:44 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1053 loss: 0.0164 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7698 recall@top3: 0.8889 prec@top3: 0.6984 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0164 2022/12/05 08:32:10 - mmengine - INFO - Epoch(train) [6][ 400/4451] lr: 6.7497e-02 eta: 3:00:34 time: 0.4962 data_time: 0.0104 memory: 16785 grad_norm: 0.1090 loss: 0.0174 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.6905 recall@top3: 0.8750 prec@top3: 0.5238 recall@top5: 0.9643 prec@top5: 0.3429 loss_action_cls: 0.0174 2022/12/05 08:32:20 - mmengine - INFO - Epoch(train) [6][ 420/4451] lr: 6.7414e-02 eta: 3:00:24 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1084 loss: 0.0173 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8833 recall@top3: 0.9375 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4200 loss_action_cls: 0.0173 2022/12/05 08:32:30 - mmengine - INFO - Epoch(train) [6][ 440/4451] lr: 6.7331e-02 eta: 3:00:14 time: 0.4954 data_time: 0.0106 memory: 16785 grad_norm: 0.1119 loss: 0.0184 recall@thr=0.5: 0.8639 prec@thr=0.5: 0.9604 recall@top3: 0.8840 prec@top3: 0.8472 recall@top5: 0.9750 prec@top5: 0.5833 loss_action_cls: 0.0184 2022/12/05 08:32:40 - mmengine - INFO - Epoch(train) [6][ 460/4451] lr: 6.7248e-02 eta: 3:00:04 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1117 loss: 0.0184 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5000 recall@top3: 0.6422 prec@top3: 0.4510 recall@top5: 0.7794 prec@top5: 0.3412 loss_action_cls: 0.0184 2022/12/05 08:32:50 - mmengine - INFO - Epoch(train) [6][ 480/4451] lr: 6.7165e-02 eta: 2:59:54 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.1097 loss: 0.0187 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7273 recall@top3: 0.8939 prec@top3: 0.6364 recall@top5: 0.9394 prec@top5: 0.4000 loss_action_cls: 0.0187 2022/12/05 08:32:59 - mmengine - INFO - Epoch(train) [6][ 500/4451] lr: 6.7083e-02 eta: 2:59:44 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1036 loss: 0.0189 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6667 recall@top3: 0.7583 prec@top3: 0.5667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0189 2022/12/05 08:33:09 - mmengine - INFO - Epoch(train) [6][ 520/4451] lr: 6.7000e-02 eta: 2:59:35 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1051 loss: 0.0171 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.6667 recall@top3: 0.7647 prec@top3: 0.5882 recall@top5: 0.8824 prec@top5: 0.4000 loss_action_cls: 0.0171 2022/12/05 08:33:19 - mmengine - INFO - Epoch(train) [6][ 540/4451] lr: 6.6917e-02 eta: 2:59:25 time: 0.4948 data_time: 0.0105 memory: 16785 grad_norm: 0.1053 loss: 0.0187 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8704 recall@top3: 0.7963 prec@top3: 0.7037 recall@top5: 0.8611 prec@top5: 0.4667 loss_action_cls: 0.0187 2022/12/05 08:33:29 - mmengine - INFO - Epoch(train) [6][ 560/4451] lr: 6.6834e-02 eta: 2:59:15 time: 0.4953 data_time: 0.0105 memory: 16785 grad_norm: 0.1063 loss: 0.0174 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7400 recall@top3: 0.7917 prec@top3: 0.6333 recall@top5: 0.9083 prec@top5: 0.4400 loss_action_cls: 0.0174 2022/12/05 08:33:39 - mmengine - INFO - Epoch(train) [6][ 580/4451] lr: 6.6750e-02 eta: 2:59:05 time: 0.4954 data_time: 0.0108 memory: 16785 grad_norm: 0.1132 loss: 0.0183 recall@thr=0.5: 0.3902 prec@thr=0.5: 0.6591 recall@top3: 0.9015 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4273 loss_action_cls: 0.0183 2022/12/05 08:33:49 - mmengine - INFO - Epoch(train) [6][ 600/4451] lr: 6.6667e-02 eta: 2:58:55 time: 0.4950 data_time: 0.0109 memory: 16785 grad_norm: 0.1031 loss: 0.0179 recall@thr=0.5: 0.7005 prec@thr=0.5: 0.7549 recall@top3: 0.7824 prec@top3: 0.6667 recall@top5: 0.9475 prec@top5: 0.4882 loss_action_cls: 0.0179 2022/12/05 08:33:59 - mmengine - INFO - Epoch(train) [6][ 620/4451] lr: 6.6584e-02 eta: 2:58:45 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1065 loss: 0.0191 recall@thr=0.5: 0.8864 prec@thr=0.5: 1.0000 recall@top3: 0.9621 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.4455 loss_action_cls: 0.0191 2022/12/05 08:34:09 - mmengine - INFO - Epoch(train) [6][ 640/4451] lr: 6.6501e-02 eta: 2:58:35 time: 0.4957 data_time: 0.0106 memory: 16785 grad_norm: 0.1058 loss: 0.0159 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8728 recall@top3: 0.8947 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0159 2022/12/05 08:34:19 - mmengine - INFO - Epoch(train) [6][ 660/4451] lr: 6.6418e-02 eta: 2:58:25 time: 0.4957 data_time: 0.0114 memory: 16785 grad_norm: 0.1027 loss: 0.0183 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7500 recall@top3: 0.8284 prec@top3: 0.6275 recall@top5: 0.8824 prec@top5: 0.4118 loss_action_cls: 0.0183 2022/12/05 08:34:29 - mmengine - INFO - Epoch(train) [6][ 680/4451] lr: 6.6334e-02 eta: 2:58:15 time: 0.4964 data_time: 0.0108 memory: 16785 grad_norm: 0.1054 loss: 0.0173 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7647 recall@top3: 0.8333 prec@top3: 0.4902 recall@top5: 1.0000 prec@top5: 0.3412 loss_action_cls: 0.0173 2022/12/05 08:34:39 - mmengine - INFO - Epoch(train) [6][ 700/4451] lr: 6.6251e-02 eta: 2:58:05 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1088 loss: 0.0186 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6422 recall@top3: 0.6863 prec@top3: 0.4706 recall@top5: 0.8725 prec@top5: 0.3765 loss_action_cls: 0.0186 2022/12/05 08:34:49 - mmengine - INFO - Epoch(train) [6][ 720/4451] lr: 6.6167e-02 eta: 2:57:55 time: 0.4961 data_time: 0.0108 memory: 16785 grad_norm: 0.1095 loss: 0.0175 recall@thr=0.5: 0.5658 prec@thr=0.5: 0.6316 recall@top3: 0.7500 prec@top3: 0.5965 recall@top5: 0.7895 prec@top5: 0.3895 loss_action_cls: 0.0175 2022/12/05 08:34:58 - mmengine - INFO - Epoch(train) [6][ 740/4451] lr: 6.6084e-02 eta: 2:57:45 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1092 loss: 0.0188 recall@thr=0.5: 0.4067 prec@thr=0.5: 0.5333 recall@top3: 0.7267 prec@top3: 0.5467 recall@top5: 0.9067 prec@top5: 0.4240 loss_action_cls: 0.0188 2022/12/05 08:35:01 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 08:35:08 - mmengine - INFO - Epoch(train) [6][ 760/4451] lr: 6.6000e-02 eta: 2:57:36 time: 0.4971 data_time: 0.0113 memory: 16785 grad_norm: 0.1129 loss: 0.0181 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8529 recall@top3: 0.7686 prec@top3: 0.6471 recall@top5: 0.8686 prec@top5: 0.4588 loss_action_cls: 0.0181 2022/12/05 08:35:18 - mmengine - INFO - Epoch(train) [6][ 780/4451] lr: 6.5917e-02 eta: 2:57:26 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1043 loss: 0.0192 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.6458 recall@top3: 0.8021 prec@top3: 0.6042 recall@top5: 0.9062 prec@top5: 0.4125 loss_action_cls: 0.0192 2022/12/05 08:35:28 - mmengine - INFO - Epoch(train) [6][ 800/4451] lr: 6.5833e-02 eta: 2:57:16 time: 0.4979 data_time: 0.0130 memory: 16785 grad_norm: 0.1134 loss: 0.0186 recall@thr=0.5: 0.7694 prec@thr=0.5: 1.0000 recall@top3: 0.9194 prec@top3: 0.7778 recall@top5: 0.9778 prec@top5: 0.5222 loss_action_cls: 0.0186 2022/12/05 08:35:38 - mmengine - INFO - Epoch(train) [6][ 820/4451] lr: 6.5749e-02 eta: 2:57:06 time: 0.4962 data_time: 0.0105 memory: 16785 grad_norm: 0.1065 loss: 0.0182 recall@thr=0.5: 0.7562 prec@thr=0.5: 0.7037 recall@top3: 0.8642 prec@top3: 0.5926 recall@top5: 0.9506 prec@top5: 0.4074 loss_action_cls: 0.0182 2022/12/05 08:35:48 - mmengine - INFO - Epoch(train) [6][ 840/4451] lr: 6.5665e-02 eta: 2:56:56 time: 0.4962 data_time: 0.0107 memory: 16785 grad_norm: 0.1073 loss: 0.0197 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7308 recall@top3: 0.8205 prec@top3: 0.4103 recall@top5: 0.8782 prec@top5: 0.2769 loss_action_cls: 0.0197 2022/12/05 08:35:58 - mmengine - INFO - Epoch(train) [6][ 860/4451] lr: 6.5582e-02 eta: 2:56:46 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1050 loss: 0.0167 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.7786 recall@top3: 0.8073 prec@top3: 0.6667 recall@top5: 0.9844 prec@top5: 0.4875 loss_action_cls: 0.0167 2022/12/05 08:36:08 - mmengine - INFO - Epoch(train) [6][ 880/4451] lr: 6.5498e-02 eta: 2:56:36 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1097 loss: 0.0171 recall@thr=0.5: 0.4697 prec@thr=0.5: 0.6313 recall@top3: 0.7449 prec@top3: 0.6465 recall@top5: 0.8838 prec@top5: 0.4727 loss_action_cls: 0.0171 2022/12/05 08:36:18 - mmengine - INFO - Epoch(train) [6][ 900/4451] lr: 6.5414e-02 eta: 2:56:26 time: 0.4959 data_time: 0.0104 memory: 16785 grad_norm: 0.1062 loss: 0.0190 recall@thr=0.5: 0.5546 prec@thr=0.5: 0.6296 recall@top3: 0.6657 prec@top3: 0.6111 recall@top5: 0.7898 prec@top5: 0.4556 loss_action_cls: 0.0190 2022/12/05 08:36:28 - mmengine - INFO - Epoch(train) [6][ 920/4451] lr: 6.5330e-02 eta: 2:56:16 time: 0.4953 data_time: 0.0107 memory: 16785 grad_norm: 0.1058 loss: 0.0169 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.7010 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0169 2022/12/05 08:36:38 - mmengine - INFO - Epoch(train) [6][ 940/4451] lr: 6.5246e-02 eta: 2:56:06 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1077 loss: 0.0200 recall@thr=0.5: 0.4389 prec@thr=0.5: 0.5802 recall@top3: 0.6395 prec@top3: 0.6173 recall@top5: 0.8265 prec@top5: 0.4963 loss_action_cls: 0.0200 2022/12/05 08:36:48 - mmengine - INFO - Epoch(train) [6][ 960/4451] lr: 6.5162e-02 eta: 2:55:56 time: 0.4948 data_time: 0.0104 memory: 16785 grad_norm: 0.1056 loss: 0.0173 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.7990 recall@top3: 0.7892 prec@top3: 0.6078 recall@top5: 0.8235 prec@top5: 0.3882 loss_action_cls: 0.0173 2022/12/05 08:36:58 - mmengine - INFO - Epoch(train) [6][ 980/4451] lr: 6.5078e-02 eta: 2:55:47 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1060 loss: 0.0177 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7486 recall@top3: 0.7645 prec@top3: 0.7246 recall@top5: 0.9348 prec@top5: 0.5478 loss_action_cls: 0.0177 2022/12/05 08:37:07 - mmengine - INFO - Epoch(train) [6][1000/4451] lr: 6.4994e-02 eta: 2:55:37 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.1134 loss: 0.0172 recall@thr=0.5: 0.7948 prec@thr=0.5: 0.7266 recall@top3: 0.7766 prec@top3: 0.6562 recall@top5: 0.8802 prec@top5: 0.4687 loss_action_cls: 0.0172 2022/12/05 08:37:17 - mmengine - INFO - Epoch(train) [6][1020/4451] lr: 6.4909e-02 eta: 2:55:27 time: 0.4956 data_time: 0.0112 memory: 16785 grad_norm: 0.1097 loss: 0.0177 recall@thr=0.5: 0.7972 prec@thr=0.5: 0.7509 recall@top3: 0.7787 prec@top3: 0.6111 recall@top5: 0.8639 prec@top5: 0.4111 loss_action_cls: 0.0177 2022/12/05 08:37:27 - mmengine - INFO - Epoch(train) [6][1040/4451] lr: 6.4825e-02 eta: 2:55:17 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.1033 loss: 0.0183 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.8556 recall@top3: 0.8972 prec@top3: 0.7222 recall@top5: 0.9556 prec@top5: 0.4733 loss_action_cls: 0.0183 2022/12/05 08:37:37 - mmengine - INFO - Epoch(train) [6][1060/4451] lr: 6.4741e-02 eta: 2:55:07 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1087 loss: 0.0172 recall@thr=0.5: 0.8115 prec@thr=0.5: 0.9071 recall@top3: 0.8083 prec@top3: 0.7564 recall@top5: 0.9635 prec@top5: 0.5615 loss_action_cls: 0.0172 2022/12/05 08:37:47 - mmengine - INFO - Epoch(train) [6][1080/4451] lr: 6.4657e-02 eta: 2:54:57 time: 0.4955 data_time: 0.0108 memory: 16785 grad_norm: 0.1067 loss: 0.0184 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.8225 recall@top3: 0.8261 prec@top3: 0.7246 recall@top5: 0.9094 prec@top5: 0.4957 loss_action_cls: 0.0184 2022/12/05 08:37:57 - mmengine - INFO - Epoch(train) [6][1100/4451] lr: 6.4572e-02 eta: 2:54:47 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1114 loss: 0.0168 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.9000 recall@top3: 0.9333 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0168 2022/12/05 08:38:07 - mmengine - INFO - Epoch(train) [6][1120/4451] lr: 6.4488e-02 eta: 2:54:37 time: 0.4956 data_time: 0.0107 memory: 16785 grad_norm: 0.1129 loss: 0.0180 recall@thr=0.5: 0.5132 prec@thr=0.5: 0.7982 recall@top3: 0.7675 prec@top3: 0.5789 recall@top5: 0.8596 prec@top5: 0.3895 loss_action_cls: 0.0180 2022/12/05 08:38:17 - mmengine - INFO - Epoch(train) [6][1140/4451] lr: 6.4403e-02 eta: 2:54:27 time: 0.4953 data_time: 0.0106 memory: 16785 grad_norm: 0.1080 loss: 0.0183 recall@thr=0.5: 0.6485 prec@thr=0.5: 0.7765 recall@top3: 0.8515 prec@top3: 0.6818 recall@top5: 0.9795 prec@top5: 0.4909 loss_action_cls: 0.0183 2022/12/05 08:38:27 - mmengine - INFO - Epoch(train) [6][1160/4451] lr: 6.4319e-02 eta: 2:54:17 time: 0.4949 data_time: 0.0105 memory: 16785 grad_norm: 0.1064 loss: 0.0179 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8958 recall@top3: 0.8333 prec@top3: 0.6528 recall@top5: 0.9583 prec@top5: 0.4667 loss_action_cls: 0.0179 2022/12/05 08:38:37 - mmengine - INFO - Epoch(train) [6][1180/4451] lr: 6.4234e-02 eta: 2:54:07 time: 0.4956 data_time: 0.0107 memory: 16785 grad_norm: 0.1075 loss: 0.0183 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.7569 recall@top3: 0.7167 prec@top3: 0.6806 recall@top5: 0.9174 prec@top5: 0.5417 loss_action_cls: 0.0183 2022/12/05 08:38:47 - mmengine - INFO - Epoch(train) [6][1200/4451] lr: 6.4150e-02 eta: 2:53:57 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.1127 loss: 0.0176 recall@thr=0.5: 0.5864 prec@thr=0.5: 0.6420 recall@top3: 0.7469 prec@top3: 0.6420 recall@top5: 0.8395 prec@top5: 0.4444 loss_action_cls: 0.0176 2022/12/05 08:38:57 - mmengine - INFO - Epoch(train) [6][1220/4451] lr: 6.4065e-02 eta: 2:53:48 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1050 loss: 0.0181 recall@thr=0.5: 0.8913 prec@thr=0.5: 0.8478 recall@top3: 0.9275 prec@top3: 0.6522 recall@top5: 1.0000 prec@top5: 0.4348 loss_action_cls: 0.0181 2022/12/05 08:39:06 - mmengine - INFO - Epoch(train) [6][1240/4451] lr: 6.3980e-02 eta: 2:53:38 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1103 loss: 0.0179 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.6667 recall@top3: 0.7436 prec@top3: 0.5385 recall@top5: 0.9359 prec@top5: 0.4231 loss_action_cls: 0.0179 2022/12/05 08:39:16 - mmengine - INFO - Epoch(train) [6][1260/4451] lr: 6.3896e-02 eta: 2:53:28 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1020 loss: 0.0169 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7870 recall@top3: 0.6713 prec@top3: 0.6481 recall@top5: 0.9398 prec@top5: 0.5556 loss_action_cls: 0.0169 2022/12/05 08:39:26 - mmengine - INFO - Epoch(train) [6][1280/4451] lr: 6.3811e-02 eta: 2:53:18 time: 0.4954 data_time: 0.0110 memory: 16785 grad_norm: 0.1107 loss: 0.0155 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.7101 recall@top3: 0.8406 prec@top3: 0.5652 recall@top5: 0.9275 prec@top5: 0.3913 loss_action_cls: 0.0155 2022/12/05 08:39:36 - mmengine - INFO - Epoch(train) [6][1300/4451] lr: 6.3726e-02 eta: 2:53:08 time: 0.4955 data_time: 0.0109 memory: 16785 grad_norm: 0.1161 loss: 0.0182 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6667 recall@top3: 0.8889 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.3556 loss_action_cls: 0.0182 2022/12/05 08:39:46 - mmengine - INFO - Epoch(train) [6][1320/4451] lr: 6.3641e-02 eta: 2:52:58 time: 0.4951 data_time: 0.0107 memory: 16785 grad_norm: 0.1057 loss: 0.0185 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.5539 recall@top3: 0.6716 prec@top3: 0.5490 recall@top5: 0.8039 prec@top5: 0.4118 loss_action_cls: 0.0185 2022/12/05 08:39:56 - mmengine - INFO - Epoch(train) [6][1340/4451] lr: 6.3556e-02 eta: 2:52:48 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1044 loss: 0.0179 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.9365 recall@top3: 0.8889 prec@top3: 0.8730 recall@top5: 0.9841 prec@top5: 0.5905 loss_action_cls: 0.0179 2022/12/05 08:40:06 - mmengine - INFO - Epoch(train) [6][1360/4451] lr: 6.3471e-02 eta: 2:52:38 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1135 loss: 0.0172 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.8148 recall@top3: 0.7287 prec@top3: 0.6296 recall@top5: 0.9352 prec@top5: 0.5222 loss_action_cls: 0.0172 2022/12/05 08:40:16 - mmengine - INFO - Epoch(train) [6][1380/4451] lr: 6.3386e-02 eta: 2:52:28 time: 0.4957 data_time: 0.0106 memory: 16785 grad_norm: 0.1080 loss: 0.0180 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7348 recall@top3: 0.8258 prec@top3: 0.5909 recall@top5: 1.0000 prec@top5: 0.4455 loss_action_cls: 0.0180 2022/12/05 08:40:26 - mmengine - INFO - Epoch(train) [6][1400/4451] lr: 6.3301e-02 eta: 2:52:18 time: 0.4953 data_time: 0.0108 memory: 16785 grad_norm: 0.1076 loss: 0.0183 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7059 recall@top3: 0.8529 prec@top3: 0.6863 recall@top5: 0.9510 prec@top5: 0.4706 loss_action_cls: 0.0183 2022/12/05 08:40:36 - mmengine - INFO - Epoch(train) [6][1420/4451] lr: 6.3216e-02 eta: 2:52:08 time: 0.4958 data_time: 0.0113 memory: 16785 grad_norm: 0.1070 loss: 0.0167 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7456 recall@top3: 0.6886 prec@top3: 0.5439 recall@top5: 0.9079 prec@top5: 0.4211 loss_action_cls: 0.0167 2022/12/05 08:40:46 - mmengine - INFO - Epoch(train) [6][1440/4451] lr: 6.3131e-02 eta: 2:51:58 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1065 loss: 0.0176 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.9375 recall@top3: 0.9062 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0176 2022/12/05 08:40:56 - mmengine - INFO - Epoch(train) [6][1460/4451] lr: 6.3046e-02 eta: 2:51:49 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1104 loss: 0.0168 recall@thr=0.5: 0.4811 prec@thr=0.5: 0.5379 recall@top3: 0.6856 prec@top3: 0.4697 recall@top5: 0.7500 prec@top5: 0.3182 loss_action_cls: 0.0168 2022/12/05 08:41:05 - mmengine - INFO - Epoch(train) [6][1480/4451] lr: 6.2961e-02 eta: 2:51:39 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1078 loss: 0.0173 recall@thr=0.5: 0.7995 prec@thr=0.5: 0.7318 recall@top3: 0.9245 prec@top3: 0.7396 recall@top5: 0.9401 prec@top5: 0.4562 loss_action_cls: 0.0173 2022/12/05 08:41:15 - mmengine - INFO - Epoch(train) [6][1500/4451] lr: 6.2876e-02 eta: 2:51:29 time: 0.4960 data_time: 0.0114 memory: 16785 grad_norm: 0.1090 loss: 0.0175 recall@thr=0.5: 0.5737 prec@thr=0.5: 0.8141 recall@top3: 0.7628 prec@top3: 0.6410 recall@top5: 0.8910 prec@top5: 0.4538 loss_action_cls: 0.0175 2022/12/05 08:41:25 - mmengine - INFO - Epoch(train) [6][1520/4451] lr: 6.2790e-02 eta: 2:51:19 time: 0.4959 data_time: 0.0104 memory: 16785 grad_norm: 0.1084 loss: 0.0182 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7157 recall@top3: 0.7745 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4941 loss_action_cls: 0.0182 2022/12/05 08:41:35 - mmengine - INFO - Epoch(train) [6][1540/4451] lr: 6.2705e-02 eta: 2:51:09 time: 0.4963 data_time: 0.0107 memory: 16785 grad_norm: 0.1052 loss: 0.0191 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7632 recall@top3: 0.8684 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0191 2022/12/05 08:41:45 - mmengine - INFO - Epoch(train) [6][1560/4451] lr: 6.2620e-02 eta: 2:50:59 time: 0.4956 data_time: 0.0110 memory: 16785 grad_norm: 0.1033 loss: 0.0179 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8070 recall@top3: 0.9035 prec@top3: 0.6667 recall@top5: 0.9825 prec@top5: 0.4421 loss_action_cls: 0.0179 2022/12/05 08:41:55 - mmengine - INFO - Epoch(train) [6][1580/4451] lr: 6.2534e-02 eta: 2:50:49 time: 0.4980 data_time: 0.0120 memory: 16785 grad_norm: 0.1092 loss: 0.0170 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.8651 recall@top3: 0.9405 prec@top3: 0.8095 recall@top5: 0.9881 prec@top5: 0.5048 loss_action_cls: 0.0170 2022/12/05 08:42:05 - mmengine - INFO - Epoch(train) [6][1600/4451] lr: 6.2449e-02 eta: 2:50:39 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1098 loss: 0.0185 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6842 recall@top3: 0.8596 prec@top3: 0.6667 recall@top5: 0.9561 prec@top5: 0.4526 loss_action_cls: 0.0185 2022/12/05 08:42:15 - mmengine - INFO - Epoch(train) [6][1620/4451] lr: 6.2363e-02 eta: 2:50:29 time: 0.4968 data_time: 0.0109 memory: 16785 grad_norm: 0.1044 loss: 0.0158 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.8083 recall@top3: 0.8125 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0158 2022/12/05 08:42:25 - mmengine - INFO - Epoch(train) [6][1640/4451] lr: 6.2278e-02 eta: 2:50:19 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1095 loss: 0.0175 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7417 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.9417 prec@top5: 0.4400 loss_action_cls: 0.0175 2022/12/05 08:42:35 - mmengine - INFO - Epoch(train) [6][1660/4451] lr: 6.2192e-02 eta: 2:50:10 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1131 loss: 0.0186 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7111 recall@top3: 0.7778 prec@top3: 0.6222 recall@top5: 0.9694 prec@top5: 0.4467 loss_action_cls: 0.0186 2022/12/05 08:42:45 - mmengine - INFO - Epoch(train) [6][1680/4451] lr: 6.2107e-02 eta: 2:50:00 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1049 loss: 0.0172 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7667 recall@top3: 0.9556 prec@top3: 0.5333 recall@top5: 1.0000 prec@top5: 0.3467 loss_action_cls: 0.0172 2022/12/05 08:42:55 - mmengine - INFO - Epoch(train) [6][1700/4451] lr: 6.2021e-02 eta: 2:49:50 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.1114 loss: 0.0176 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.6792 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.8792 prec@top5: 0.4700 loss_action_cls: 0.0176 2022/12/05 08:43:05 - mmengine - INFO - Epoch(train) [6][1720/4451] lr: 6.1935e-02 eta: 2:49:40 time: 0.4958 data_time: 0.0109 memory: 16785 grad_norm: 0.1090 loss: 0.0179 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8796 recall@top3: 0.8148 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4778 loss_action_cls: 0.0179 2022/12/05 08:43:15 - mmengine - INFO - Epoch(train) [6][1740/4451] lr: 6.1850e-02 eta: 2:49:30 time: 0.4963 data_time: 0.0107 memory: 16785 grad_norm: 0.1093 loss: 0.0170 recall@thr=0.5: 0.8210 prec@thr=0.5: 0.8549 recall@top3: 0.9259 prec@top3: 0.8395 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0170 2022/12/05 08:43:17 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 08:43:24 - mmengine - INFO - Epoch(train) [6][1760/4451] lr: 6.1764e-02 eta: 2:49:20 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1061 loss: 0.0189 recall@thr=0.5: 0.4594 prec@thr=0.5: 0.5547 recall@top3: 0.6000 prec@top3: 0.5417 recall@top5: 0.8646 prec@top5: 0.4500 loss_action_cls: 0.0189 2022/12/05 08:43:34 - mmengine - INFO - Epoch(train) [6][1780/4451] lr: 6.1678e-02 eta: 2:49:10 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1125 loss: 0.0187 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6042 recall@top3: 0.9062 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.3875 loss_action_cls: 0.0187 2022/12/05 08:43:44 - mmengine - INFO - Epoch(train) [6][1800/4451] lr: 6.1592e-02 eta: 2:49:00 time: 0.4954 data_time: 0.0106 memory: 16785 grad_norm: 0.1104 loss: 0.0174 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9333 recall@top3: 0.8667 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0174 2022/12/05 08:43:54 - mmengine - INFO - Epoch(train) [6][1820/4451] lr: 6.1507e-02 eta: 2:48:50 time: 0.4970 data_time: 0.0117 memory: 16785 grad_norm: 0.1136 loss: 0.0178 recall@thr=0.5: 0.5639 prec@thr=0.5: 0.6111 recall@top3: 0.6139 prec@top3: 0.5000 recall@top5: 0.7500 prec@top5: 0.4000 loss_action_cls: 0.0178 2022/12/05 08:44:04 - mmengine - INFO - Epoch(train) [6][1840/4451] lr: 6.1421e-02 eta: 2:48:40 time: 0.4959 data_time: 0.0114 memory: 16785 grad_norm: 0.1124 loss: 0.0169 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.7917 recall@top3: 0.7775 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.6300 loss_action_cls: 0.0169 2022/12/05 08:44:14 - mmengine - INFO - Epoch(train) [6][1860/4451] lr: 6.1335e-02 eta: 2:48:30 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1059 loss: 0.0191 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8667 recall@top3: 0.9333 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0191 2022/12/05 08:44:24 - mmengine - INFO - Epoch(train) [6][1880/4451] lr: 6.1249e-02 eta: 2:48:21 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1077 loss: 0.0187 recall@thr=0.5: 0.5486 prec@thr=0.5: 0.6042 recall@top3: 0.7431 prec@top3: 0.5972 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0187 2022/12/05 08:44:34 - mmengine - INFO - Epoch(train) [6][1900/4451] lr: 6.1163e-02 eta: 2:48:11 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1062 loss: 0.0180 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.7008 recall@top3: 0.7833 prec@top3: 0.5500 recall@top5: 0.9167 prec@top5: 0.4100 loss_action_cls: 0.0180 2022/12/05 08:44:44 - mmengine - INFO - Epoch(train) [6][1920/4451] lr: 6.1077e-02 eta: 2:48:01 time: 0.4956 data_time: 0.0111 memory: 16785 grad_norm: 0.1091 loss: 0.0189 recall@thr=0.5: 0.5300 prec@thr=0.5: 0.5667 recall@top3: 0.7550 prec@top3: 0.4667 recall@top5: 0.9875 prec@top5: 0.3700 loss_action_cls: 0.0189 2022/12/05 08:44:54 - mmengine - INFO - Epoch(train) [6][1940/4451] lr: 6.0991e-02 eta: 2:47:51 time: 0.4965 data_time: 0.0104 memory: 16785 grad_norm: 0.1123 loss: 0.0182 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.7895 recall@top3: 0.8465 prec@top3: 0.7193 recall@top5: 0.9079 prec@top5: 0.4632 loss_action_cls: 0.0182 2022/12/05 08:45:04 - mmengine - INFO - Epoch(train) [6][1960/4451] lr: 6.0905e-02 eta: 2:47:41 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1101 loss: 0.0183 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7778 recall@top3: 0.8917 prec@top3: 0.6111 recall@top5: 0.9417 prec@top5: 0.4167 loss_action_cls: 0.0183 2022/12/05 08:45:14 - mmengine - INFO - Epoch(train) [6][1980/4451] lr: 6.0819e-02 eta: 2:47:31 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1093 loss: 0.0178 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7153 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0178 2022/12/05 08:45:24 - mmengine - INFO - Epoch(train) [6][2000/4451] lr: 6.0732e-02 eta: 2:47:21 time: 0.4965 data_time: 0.0106 memory: 16785 grad_norm: 0.1099 loss: 0.0180 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.7549 recall@top3: 0.8922 prec@top3: 0.6275 recall@top5: 0.9853 prec@top5: 0.4118 loss_action_cls: 0.0180 2022/12/05 08:45:33 - mmengine - INFO - Epoch(train) [6][2020/4451] lr: 6.0646e-02 eta: 2:47:11 time: 0.4956 data_time: 0.0110 memory: 16785 grad_norm: 0.1057 loss: 0.0183 recall@thr=0.5: 0.6698 prec@thr=0.5: 0.7747 recall@top3: 0.7901 prec@top3: 0.7037 recall@top5: 0.9506 prec@top5: 0.5185 loss_action_cls: 0.0183 2022/12/05 08:45:43 - mmengine - INFO - Epoch(train) [6][2040/4451] lr: 6.0560e-02 eta: 2:47:01 time: 0.4958 data_time: 0.0109 memory: 16785 grad_norm: 0.1073 loss: 0.0186 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.8029 recall@top3: 0.8551 prec@top3: 0.7246 recall@top5: 0.9420 prec@top5: 0.4870 loss_action_cls: 0.0186 2022/12/05 08:45:53 - mmengine - INFO - Epoch(train) [6][2060/4451] lr: 6.0474e-02 eta: 2:46:51 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1048 loss: 0.0179 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.9762 recall@top3: 0.8413 prec@top3: 0.6508 recall@top5: 0.9683 prec@top5: 0.4667 loss_action_cls: 0.0179 2022/12/05 08:46:03 - mmengine - INFO - Epoch(train) [6][2080/4451] lr: 6.0388e-02 eta: 2:46:41 time: 0.4965 data_time: 0.0107 memory: 16785 grad_norm: 0.1112 loss: 0.0191 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7308 recall@top3: 0.8878 prec@top3: 0.5513 recall@top5: 0.9423 prec@top5: 0.3615 loss_action_cls: 0.0191 2022/12/05 08:46:13 - mmengine - INFO - Epoch(train) [6][2100/4451] lr: 6.0301e-02 eta: 2:46:32 time: 0.4965 data_time: 0.0107 memory: 16785 grad_norm: 0.1109 loss: 0.0190 recall@thr=0.5: 0.4931 prec@thr=0.5: 0.6215 recall@top3: 0.8160 prec@top3: 0.5278 recall@top5: 0.9306 prec@top5: 0.3833 loss_action_cls: 0.0190 2022/12/05 08:46:23 - mmengine - INFO - Epoch(train) [6][2120/4451] lr: 6.0215e-02 eta: 2:46:22 time: 0.4964 data_time: 0.0107 memory: 16785 grad_norm: 0.1093 loss: 0.0183 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.8409 recall@top3: 0.8485 prec@top3: 0.6818 recall@top5: 0.9621 prec@top5: 0.4727 loss_action_cls: 0.0183 2022/12/05 08:46:33 - mmengine - INFO - Epoch(train) [6][2140/4451] lr: 6.0128e-02 eta: 2:46:12 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1143 loss: 0.0183 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7760 recall@top3: 0.6562 prec@top3: 0.6042 recall@top5: 0.8906 prec@top5: 0.4875 loss_action_cls: 0.0183 2022/12/05 08:46:43 - mmengine - INFO - Epoch(train) [6][2160/4451] lr: 6.0042e-02 eta: 2:46:02 time: 0.4956 data_time: 0.0111 memory: 16785 grad_norm: 0.1068 loss: 0.0181 recall@thr=0.5: 0.7586 prec@thr=0.5: 0.7615 recall@top3: 0.9023 prec@top3: 0.7011 recall@top5: 0.9540 prec@top5: 0.4621 loss_action_cls: 0.0181 2022/12/05 08:46:53 - mmengine - INFO - Epoch(train) [6][2180/4451] lr: 5.9956e-02 eta: 2:45:52 time: 0.4976 data_time: 0.0109 memory: 16785 grad_norm: 0.1101 loss: 0.0189 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.3500 loss_action_cls: 0.0189 2022/12/05 08:47:03 - mmengine - INFO - Epoch(train) [6][2200/4451] lr: 5.9869e-02 eta: 2:45:42 time: 0.4975 data_time: 0.0110 memory: 16785 grad_norm: 0.1119 loss: 0.0158 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.7000 recall@top3: 0.7500 prec@top3: 0.5667 recall@top5: 0.8667 prec@top5: 0.4000 loss_action_cls: 0.0158 2022/12/05 08:47:13 - mmengine - INFO - Epoch(train) [6][2220/4451] lr: 5.9783e-02 eta: 2:45:32 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1073 loss: 0.0179 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6556 recall@top3: 0.8333 prec@top3: 0.5111 recall@top5: 0.9000 prec@top5: 0.3333 loss_action_cls: 0.0179 2022/12/05 08:47:23 - mmengine - INFO - Epoch(train) [6][2240/4451] lr: 5.9696e-02 eta: 2:45:22 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1115 loss: 0.0194 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8333 recall@top3: 0.8636 prec@top3: 0.6970 recall@top5: 0.9735 prec@top5: 0.4909 loss_action_cls: 0.0194 2022/12/05 08:47:33 - mmengine - INFO - Epoch(train) [6][2260/4451] lr: 5.9610e-02 eta: 2:45:12 time: 0.4978 data_time: 0.0113 memory: 16785 grad_norm: 0.1084 loss: 0.0159 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.7143 recall@top3: 0.8968 prec@top3: 0.5556 recall@top5: 0.9603 prec@top5: 0.3714 loss_action_cls: 0.0159 2022/12/05 08:47:43 - mmengine - INFO - Epoch(train) [6][2280/4451] lr: 5.9523e-02 eta: 2:45:02 time: 0.4964 data_time: 0.0108 memory: 16785 grad_norm: 0.1125 loss: 0.0162 recall@thr=0.5: 0.9479 prec@thr=0.5: 0.9583 recall@top3: 0.9688 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0162 2022/12/05 08:47:52 - mmengine - INFO - Epoch(train) [6][2300/4451] lr: 5.9436e-02 eta: 2:44:53 time: 0.4959 data_time: 0.0113 memory: 16785 grad_norm: 0.1134 loss: 0.0177 recall@thr=0.5: 0.6974 prec@thr=0.5: 0.7684 recall@top3: 0.7982 prec@top3: 0.6491 recall@top5: 0.9123 prec@top5: 0.4632 loss_action_cls: 0.0177 2022/12/05 08:48:02 - mmengine - INFO - Epoch(train) [6][2320/4451] lr: 5.9350e-02 eta: 2:44:43 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1082 loss: 0.0163 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7667 recall@top3: 0.7333 prec@top3: 0.7067 recall@top5: 0.9200 prec@top5: 0.5280 loss_action_cls: 0.0163 2022/12/05 08:48:12 - mmengine - INFO - Epoch(train) [6][2340/4451] lr: 5.9263e-02 eta: 2:44:33 time: 0.4968 data_time: 0.0110 memory: 16785 grad_norm: 0.1130 loss: 0.0166 recall@thr=0.5: 0.9127 prec@thr=0.5: 0.8095 recall@top3: 0.8770 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0166 2022/12/05 08:48:22 - mmengine - INFO - Epoch(train) [6][2360/4451] lr: 5.9176e-02 eta: 2:44:23 time: 0.4965 data_time: 0.0108 memory: 16785 grad_norm: 0.1093 loss: 0.0194 recall@thr=0.5: 0.8065 prec@thr=0.5: 0.7976 recall@top3: 0.8036 prec@top3: 0.6548 recall@top5: 0.9375 prec@top5: 0.4786 loss_action_cls: 0.0194 2022/12/05 08:48:32 - mmengine - INFO - Epoch(train) [6][2380/4451] lr: 5.9090e-02 eta: 2:44:13 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1083 loss: 0.0170 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7250 recall@top3: 0.8667 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0170 2022/12/05 08:48:42 - mmengine - INFO - Epoch(train) [6][2400/4451] lr: 5.9003e-02 eta: 2:44:03 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1109 loss: 0.0180 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7619 recall@top3: 0.7778 prec@top3: 0.6508 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0180 2022/12/05 08:48:52 - mmengine - INFO - Epoch(train) [6][2420/4451] lr: 5.8916e-02 eta: 2:43:53 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1013 loss: 0.0188 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.9474 recall@top3: 0.9474 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0188 2022/12/05 08:49:02 - mmengine - INFO - Epoch(train) [6][2440/4451] lr: 5.8829e-02 eta: 2:43:43 time: 0.4958 data_time: 0.0107 memory: 16785 grad_norm: 0.1080 loss: 0.0180 recall@thr=0.5: 0.9211 prec@thr=0.5: 0.7947 recall@top3: 0.8816 prec@top3: 0.7018 recall@top5: 0.9737 prec@top5: 0.4737 loss_action_cls: 0.0180 2022/12/05 08:49:12 - mmengine - INFO - Epoch(train) [6][2460/4451] lr: 5.8742e-02 eta: 2:43:33 time: 0.4967 data_time: 0.0108 memory: 16785 grad_norm: 0.1078 loss: 0.0195 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.6736 recall@top3: 0.7889 prec@top3: 0.6250 recall@top5: 0.8806 prec@top5: 0.4417 loss_action_cls: 0.0195 2022/12/05 08:49:22 - mmengine - INFO - Epoch(train) [6][2480/4451] lr: 5.8655e-02 eta: 2:43:23 time: 0.4960 data_time: 0.0115 memory: 16785 grad_norm: 0.1098 loss: 0.0173 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.8947 recall@top3: 0.8772 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0173 2022/12/05 08:49:32 - mmengine - INFO - Epoch(train) [6][2500/4451] lr: 5.8568e-02 eta: 2:43:13 time: 0.4972 data_time: 0.0112 memory: 16785 grad_norm: 0.1078 loss: 0.0170 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6574 recall@top3: 0.7500 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4556 loss_action_cls: 0.0170 2022/12/05 08:49:42 - mmengine - INFO - Epoch(train) [6][2520/4451] lr: 5.8482e-02 eta: 2:43:04 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1108 loss: 0.0186 recall@thr=0.5: 0.7679 prec@thr=0.5: 0.7262 recall@top3: 0.8661 prec@top3: 0.7143 recall@top5: 0.9643 prec@top5: 0.4714 loss_action_cls: 0.0186 2022/12/05 08:49:52 - mmengine - INFO - Epoch(train) [6][2540/4451] lr: 5.8395e-02 eta: 2:42:54 time: 0.4969 data_time: 0.0114 memory: 16785 grad_norm: 0.1076 loss: 0.0187 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7130 recall@top3: 0.8565 prec@top3: 0.6296 recall@top5: 0.9120 prec@top5: 0.4000 loss_action_cls: 0.0187 2022/12/05 08:50:02 - mmengine - INFO - Epoch(train) [6][2560/4451] lr: 5.8308e-02 eta: 2:42:44 time: 0.4963 data_time: 0.0108 memory: 16785 grad_norm: 0.1072 loss: 0.0172 recall@thr=0.5: 0.6773 prec@thr=0.5: 0.7348 recall@top3: 0.7712 prec@top3: 0.6515 recall@top5: 0.9424 prec@top5: 0.5000 loss_action_cls: 0.0172 2022/12/05 08:50:11 - mmengine - INFO - Epoch(train) [6][2580/4451] lr: 5.8221e-02 eta: 2:42:34 time: 0.4962 data_time: 0.0106 memory: 16785 grad_norm: 0.1093 loss: 0.0183 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7600 recall@top3: 0.8333 prec@top3: 0.7067 recall@top5: 0.8867 prec@top5: 0.4560 loss_action_cls: 0.0183 2022/12/05 08:50:21 - mmengine - INFO - Epoch(train) [6][2600/4451] lr: 5.8134e-02 eta: 2:42:24 time: 0.4956 data_time: 0.0110 memory: 16785 grad_norm: 0.1139 loss: 0.0184 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6292 recall@top3: 0.7417 prec@top3: 0.5333 recall@top5: 0.9625 prec@top5: 0.4100 loss_action_cls: 0.0184 2022/12/05 08:50:31 - mmengine - INFO - Epoch(train) [6][2620/4451] lr: 5.8046e-02 eta: 2:42:14 time: 0.4966 data_time: 0.0108 memory: 16785 grad_norm: 0.1097 loss: 0.0182 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7667 recall@top3: 0.7583 prec@top3: 0.7167 recall@top5: 0.9417 prec@top5: 0.5100 loss_action_cls: 0.0182 2022/12/05 08:50:41 - mmengine - INFO - Epoch(train) [6][2640/4451] lr: 5.7959e-02 eta: 2:42:04 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1143 loss: 0.0162 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7889 recall@top3: 0.6944 prec@top3: 0.4444 recall@top5: 0.9000 prec@top5: 0.3733 loss_action_cls: 0.0162 2022/12/05 08:50:51 - mmengine - INFO - Epoch(train) [6][2660/4451] lr: 5.7872e-02 eta: 2:41:54 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1081 loss: 0.0170 recall@thr=0.5: 0.9430 prec@thr=0.5: 0.8947 recall@top3: 0.9430 prec@top3: 0.5614 recall@top5: 0.9605 prec@top5: 0.3474 loss_action_cls: 0.0170 2022/12/05 08:51:01 - mmengine - INFO - Epoch(train) [6][2680/4451] lr: 5.7785e-02 eta: 2:41:44 time: 0.4975 data_time: 0.0113 memory: 16785 grad_norm: 0.1098 loss: 0.0190 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7202 recall@top3: 0.8065 prec@top3: 0.5595 recall@top5: 0.9107 prec@top5: 0.4071 loss_action_cls: 0.0190 2022/12/05 08:51:11 - mmengine - INFO - Epoch(train) [6][2700/4451] lr: 5.7698e-02 eta: 2:41:34 time: 0.4962 data_time: 0.0112 memory: 16785 grad_norm: 0.1091 loss: 0.0177 recall@thr=0.5: 0.6975 prec@thr=0.5: 0.7778 recall@top3: 0.7593 prec@top3: 0.6420 recall@top5: 0.9136 prec@top5: 0.4815 loss_action_cls: 0.0177 2022/12/05 08:51:21 - mmengine - INFO - Epoch(train) [6][2720/4451] lr: 5.7611e-02 eta: 2:41:24 time: 0.4960 data_time: 0.0112 memory: 16785 grad_norm: 0.1076 loss: 0.0177 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8922 recall@top3: 0.9314 prec@top3: 0.8235 recall@top5: 1.0000 prec@top5: 0.5412 loss_action_cls: 0.0177 2022/12/05 08:51:31 - mmengine - INFO - Epoch(train) [6][2740/4451] lr: 5.7524e-02 eta: 2:41:15 time: 0.4966 data_time: 0.0108 memory: 16785 grad_norm: 0.1069 loss: 0.0182 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.7619 recall@top3: 0.6786 prec@top3: 0.4524 recall@top5: 0.8036 prec@top5: 0.3286 loss_action_cls: 0.0182 2022/12/05 08:51:33 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 08:51:41 - mmengine - INFO - Epoch(train) [6][2760/4451] lr: 5.7436e-02 eta: 2:41:05 time: 0.4970 data_time: 0.0111 memory: 16785 grad_norm: 0.1054 loss: 0.0173 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8730 recall@top3: 0.8413 prec@top3: 0.7460 recall@top5: 0.9365 prec@top5: 0.4857 loss_action_cls: 0.0173 2022/12/05 08:51:51 - mmengine - INFO - Epoch(train) [6][2780/4451] lr: 5.7349e-02 eta: 2:40:55 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1132 loss: 0.0162 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9069 recall@top3: 0.8368 prec@top3: 0.7639 recall@top5: 0.9792 prec@top5: 0.5583 loss_action_cls: 0.0162 2022/12/05 08:52:01 - mmengine - INFO - Epoch(train) [6][2800/4451] lr: 5.7262e-02 eta: 2:40:45 time: 0.4959 data_time: 0.0109 memory: 16785 grad_norm: 0.1089 loss: 0.0184 recall@thr=0.5: 0.5920 prec@thr=0.5: 0.7874 recall@top3: 0.8218 prec@top3: 0.6207 recall@top5: 0.9741 prec@top5: 0.4552 loss_action_cls: 0.0184 2022/12/05 08:52:11 - mmengine - INFO - Epoch(train) [6][2820/4451] lr: 5.7174e-02 eta: 2:40:35 time: 0.4961 data_time: 0.0113 memory: 16785 grad_norm: 0.1106 loss: 0.0174 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.7963 recall@top3: 0.8102 prec@top3: 0.6852 recall@top5: 0.9676 prec@top5: 0.4889 loss_action_cls: 0.0174 2022/12/05 08:52:21 - mmengine - INFO - Epoch(train) [6][2840/4451] lr: 5.7087e-02 eta: 2:40:25 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1104 loss: 0.0163 recall@thr=0.5: 0.6981 prec@thr=0.5: 0.9167 recall@top3: 0.8231 prec@top3: 0.8077 recall@top5: 0.9519 prec@top5: 0.5923 loss_action_cls: 0.0163 2022/12/05 08:52:30 - mmengine - INFO - Epoch(train) [6][2860/4451] lr: 5.7000e-02 eta: 2:40:15 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1049 loss: 0.0171 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.8846 recall@top3: 0.8397 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.4692 loss_action_cls: 0.0171 2022/12/05 08:52:40 - mmengine - INFO - Epoch(train) [6][2880/4451] lr: 5.6912e-02 eta: 2:40:05 time: 0.4965 data_time: 0.0108 memory: 16785 grad_norm: 0.1082 loss: 0.0184 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.6912 recall@top3: 0.8627 prec@top3: 0.6078 recall@top5: 0.9020 prec@top5: 0.3882 loss_action_cls: 0.0184 2022/12/05 08:52:50 - mmengine - INFO - Epoch(train) [6][2900/4451] lr: 5.6825e-02 eta: 2:39:55 time: 0.4974 data_time: 0.0107 memory: 16785 grad_norm: 0.1074 loss: 0.0179 recall@thr=0.5: 0.8423 prec@thr=0.5: 0.7738 recall@top3: 0.7976 prec@top3: 0.6548 recall@top5: 0.8929 prec@top5: 0.4643 loss_action_cls: 0.0179 2022/12/05 08:53:00 - mmengine - INFO - Epoch(train) [6][2920/4451] lr: 5.6738e-02 eta: 2:39:45 time: 0.4951 data_time: 0.0110 memory: 16785 grad_norm: 0.1136 loss: 0.0179 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8368 recall@top3: 0.7812 prec@top3: 0.7500 recall@top5: 0.9410 prec@top5: 0.5417 loss_action_cls: 0.0179 2022/12/05 08:53:10 - mmengine - INFO - Epoch(train) [6][2940/4451] lr: 5.6650e-02 eta: 2:39:35 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.1079 loss: 0.0187 recall@thr=0.5: 0.5146 prec@thr=0.5: 0.6146 recall@top3: 0.8031 prec@top3: 0.6250 recall@top5: 0.8938 prec@top5: 0.4250 loss_action_cls: 0.0187 2022/12/05 08:53:20 - mmengine - INFO - Epoch(train) [6][2960/4451] lr: 5.6563e-02 eta: 2:39:26 time: 0.4962 data_time: 0.0109 memory: 16785 grad_norm: 0.1085 loss: 0.0166 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7971 recall@top3: 0.7609 prec@top3: 0.6232 recall@top5: 0.9565 prec@top5: 0.4783 loss_action_cls: 0.0166 2022/12/05 08:53:30 - mmengine - INFO - Epoch(train) [6][2980/4451] lr: 5.6475e-02 eta: 2:39:16 time: 0.4956 data_time: 0.0111 memory: 16785 grad_norm: 0.1043 loss: 0.0179 recall@thr=0.5: 0.6049 prec@thr=0.5: 0.6914 recall@top3: 0.7531 prec@top3: 0.6173 recall@top5: 0.9475 prec@top5: 0.4667 loss_action_cls: 0.0179 2022/12/05 08:53:40 - mmengine - INFO - Epoch(train) [6][3000/4451] lr: 5.6388e-02 eta: 2:39:06 time: 0.4964 data_time: 0.0108 memory: 16785 grad_norm: 0.1090 loss: 0.0170 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7556 recall@top3: 0.8667 prec@top3: 0.4667 recall@top5: 0.9000 prec@top5: 0.2933 loss_action_cls: 0.0170 2022/12/05 08:53:50 - mmengine - INFO - Epoch(train) [6][3020/4451] lr: 5.6300e-02 eta: 2:38:56 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1048 loss: 0.0177 recall@thr=0.5: 0.7841 prec@thr=0.5: 0.9058 recall@top3: 0.8130 prec@top3: 0.7971 recall@top5: 0.9855 prec@top5: 0.6087 loss_action_cls: 0.0177 2022/12/05 08:54:00 - mmengine - INFO - Epoch(train) [6][3040/4451] lr: 5.6213e-02 eta: 2:38:46 time: 0.4971 data_time: 0.0118 memory: 16785 grad_norm: 0.1078 loss: 0.0178 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9474 recall@top3: 0.8947 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0178 2022/12/05 08:54:10 - mmengine - INFO - Epoch(train) [6][3060/4451] lr: 5.6125e-02 eta: 2:38:36 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1054 loss: 0.0156 recall@thr=0.5: 0.7325 prec@thr=0.5: 0.7895 recall@top3: 0.9211 prec@top3: 0.6842 recall@top5: 0.9825 prec@top5: 0.4526 loss_action_cls: 0.0156 2022/12/05 08:54:20 - mmengine - INFO - Epoch(train) [6][3080/4451] lr: 5.6038e-02 eta: 2:38:26 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1085 loss: 0.0156 recall@thr=0.5: 0.8389 prec@thr=0.5: 0.8389 recall@top3: 0.8722 prec@top3: 0.6889 recall@top5: 0.9778 prec@top5: 0.4733 loss_action_cls: 0.0156 2022/12/05 08:54:30 - mmengine - INFO - Epoch(train) [6][3100/4451] lr: 5.5950e-02 eta: 2:38:16 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1100 loss: 0.0171 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8889 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0171 2022/12/05 08:54:40 - mmengine - INFO - Epoch(train) [6][3120/4451] lr: 5.5862e-02 eta: 2:38:06 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1089 loss: 0.0178 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.6594 recall@top3: 0.7754 prec@top3: 0.6522 recall@top5: 0.8768 prec@top5: 0.4522 loss_action_cls: 0.0178 2022/12/05 08:54:49 - mmengine - INFO - Epoch(train) [6][3140/4451] lr: 5.5775e-02 eta: 2:37:56 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1069 loss: 0.0186 recall@thr=0.5: 0.7069 prec@thr=0.5: 0.8966 recall@top3: 0.9310 prec@top3: 0.5862 recall@top5: 0.9655 prec@top5: 0.3655 loss_action_cls: 0.0186 2022/12/05 08:54:59 - mmengine - INFO - Epoch(train) [6][3160/4451] lr: 5.5687e-02 eta: 2:37:46 time: 0.4959 data_time: 0.0114 memory: 16785 grad_norm: 0.1136 loss: 0.0168 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7647 recall@top3: 0.8382 prec@top3: 0.6078 recall@top5: 0.9118 prec@top5: 0.4118 loss_action_cls: 0.0168 2022/12/05 08:55:09 - mmengine - INFO - Epoch(train) [6][3180/4451] lr: 5.5599e-02 eta: 2:37:37 time: 0.4960 data_time: 0.0111 memory: 16785 grad_norm: 0.1115 loss: 0.0187 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.8889 recall@top3: 0.8611 prec@top3: 0.7222 recall@top5: 0.9861 prec@top5: 0.5111 loss_action_cls: 0.0187 2022/12/05 08:55:19 - mmengine - INFO - Epoch(train) [6][3200/4451] lr: 5.5512e-02 eta: 2:37:27 time: 0.4959 data_time: 0.0112 memory: 16785 grad_norm: 0.1057 loss: 0.0195 recall@thr=0.5: 0.8768 prec@thr=0.5: 0.9710 recall@top3: 0.9130 prec@top3: 0.8116 recall@top5: 0.9565 prec@top5: 0.5217 loss_action_cls: 0.0195 2022/12/05 08:55:29 - mmengine - INFO - Epoch(train) [6][3220/4451] lr: 5.5424e-02 eta: 2:37:17 time: 0.4990 data_time: 0.0136 memory: 16785 grad_norm: 0.1096 loss: 0.0169 recall@thr=0.5: 0.7882 prec@thr=0.5: 0.8681 recall@top3: 0.8229 prec@top3: 0.6944 recall@top5: 0.9549 prec@top5: 0.4833 loss_action_cls: 0.0169 2022/12/05 08:55:39 - mmengine - INFO - Epoch(train) [6][3240/4451] lr: 5.5336e-02 eta: 2:37:07 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1141 loss: 0.0163 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.6471 recall@top3: 0.7941 prec@top3: 0.4706 recall@top5: 0.9804 prec@top5: 0.3647 loss_action_cls: 0.0163 2022/12/05 08:55:49 - mmengine - INFO - Epoch(train) [6][3260/4451] lr: 5.5249e-02 eta: 2:36:57 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1101 loss: 0.0182 recall@thr=0.5: 0.8778 prec@thr=0.5: 0.8556 recall@top3: 0.9222 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0182 2022/12/05 08:55:59 - mmengine - INFO - Epoch(train) [6][3280/4451] lr: 5.5161e-02 eta: 2:36:47 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1124 loss: 0.0180 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6267 recall@top3: 0.8467 prec@top3: 0.6133 recall@top5: 0.9200 prec@top5: 0.4000 loss_action_cls: 0.0180 2022/12/05 08:56:09 - mmengine - INFO - Epoch(train) [6][3300/4451] lr: 5.5073e-02 eta: 2:36:37 time: 0.4971 data_time: 0.0116 memory: 16785 grad_norm: 0.1084 loss: 0.0187 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.9048 recall@top3: 0.8929 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0187 2022/12/05 08:56:19 - mmengine - INFO - Epoch(train) [6][3320/4451] lr: 5.4985e-02 eta: 2:36:27 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1115 loss: 0.0184 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.7123 recall@top3: 0.6964 prec@top3: 0.6232 recall@top5: 0.8551 prec@top5: 0.4783 loss_action_cls: 0.0184 2022/12/05 08:56:29 - mmengine - INFO - Epoch(train) [6][3340/4451] lr: 5.4898e-02 eta: 2:36:17 time: 0.4966 data_time: 0.0112 memory: 16785 grad_norm: 0.1094 loss: 0.0157 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6310 recall@top3: 0.8452 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0157 2022/12/05 08:56:39 - mmengine - INFO - Epoch(train) [6][3360/4451] lr: 5.4810e-02 eta: 2:36:07 time: 0.4965 data_time: 0.0108 memory: 16785 grad_norm: 0.1114 loss: 0.0192 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.7237 recall@top3: 0.6996 prec@top3: 0.5965 recall@top5: 0.8706 prec@top5: 0.4579 loss_action_cls: 0.0192 2022/12/05 08:56:49 - mmengine - INFO - Epoch(train) [6][3380/4451] lr: 5.4722e-02 eta: 2:35:58 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1124 loss: 0.0193 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.6667 recall@top3: 0.8039 prec@top3: 0.5882 recall@top5: 0.9118 prec@top5: 0.4000 loss_action_cls: 0.0193 2022/12/05 08:56:59 - mmengine - INFO - Epoch(train) [6][3400/4451] lr: 5.4634e-02 eta: 2:35:48 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1069 loss: 0.0162 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.7803 recall@top3: 0.8182 prec@top3: 0.6212 recall@top5: 0.9242 prec@top5: 0.4273 loss_action_cls: 0.0162 2022/12/05 08:57:08 - mmengine - INFO - Epoch(train) [6][3420/4451] lr: 5.4546e-02 eta: 2:35:38 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.1068 loss: 0.0170 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7278 recall@top3: 0.8167 prec@top3: 0.6222 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0170 2022/12/05 08:57:18 - mmengine - INFO - Epoch(train) [6][3440/4451] lr: 5.4458e-02 eta: 2:35:28 time: 0.4958 data_time: 0.0106 memory: 16785 grad_norm: 0.1090 loss: 0.0171 recall@thr=0.5: 0.6716 prec@thr=0.5: 0.6667 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.9069 prec@top5: 0.4000 loss_action_cls: 0.0171 2022/12/05 08:57:28 - mmengine - INFO - Epoch(train) [6][3460/4451] lr: 5.4370e-02 eta: 2:35:18 time: 0.4961 data_time: 0.0106 memory: 16785 grad_norm: 0.1092 loss: 0.0183 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6506 recall@top3: 0.7500 prec@top3: 0.6410 recall@top5: 0.8077 prec@top5: 0.4231 loss_action_cls: 0.0183 2022/12/05 08:57:38 - mmengine - INFO - Epoch(train) [6][3480/4451] lr: 5.4283e-02 eta: 2:35:08 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1107 loss: 0.0188 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.8125 recall@top3: 0.7188 prec@top3: 0.6875 recall@top5: 0.9167 prec@top5: 0.5250 loss_action_cls: 0.0188 2022/12/05 08:57:48 - mmengine - INFO - Epoch(train) [6][3500/4451] lr: 5.4195e-02 eta: 2:34:58 time: 0.4965 data_time: 0.0113 memory: 16785 grad_norm: 0.1103 loss: 0.0171 recall@thr=0.5: 0.8735 prec@thr=0.5: 0.8284 recall@top3: 0.8882 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5529 loss_action_cls: 0.0171 2022/12/05 08:57:58 - mmengine - INFO - Epoch(train) [6][3520/4451] lr: 5.4107e-02 eta: 2:34:48 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1153 loss: 0.0181 recall@thr=0.5: 0.7767 prec@thr=0.5: 0.9042 recall@top3: 0.7850 prec@top3: 0.7333 recall@top5: 0.9367 prec@top5: 0.5400 loss_action_cls: 0.0181 2022/12/05 08:58:08 - mmengine - INFO - Epoch(train) [6][3540/4451] lr: 5.4019e-02 eta: 2:34:38 time: 0.4962 data_time: 0.0113 memory: 16785 grad_norm: 0.1079 loss: 0.0181 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6250 recall@top3: 0.8438 prec@top3: 0.5625 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0181 2022/12/05 08:58:18 - mmengine - INFO - Epoch(train) [6][3560/4451] lr: 5.3931e-02 eta: 2:34:28 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1101 loss: 0.0183 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8824 recall@top3: 1.0000 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0183 2022/12/05 08:58:28 - mmengine - INFO - Epoch(train) [6][3580/4451] lr: 5.3843e-02 eta: 2:34:18 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1134 loss: 0.0176 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.7375 recall@top3: 0.8917 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0176 2022/12/05 08:58:38 - mmengine - INFO - Epoch(train) [6][3600/4451] lr: 5.3755e-02 eta: 2:34:08 time: 0.4964 data_time: 0.0103 memory: 16785 grad_norm: 0.1046 loss: 0.0179 recall@thr=0.5: 0.6283 prec@thr=0.5: 0.8083 recall@top3: 0.8533 prec@top3: 0.5667 recall@top5: 0.9550 prec@top5: 0.3900 loss_action_cls: 0.0179 2022/12/05 08:58:48 - mmengine - INFO - Epoch(train) [6][3620/4451] lr: 5.3667e-02 eta: 2:33:59 time: 0.4959 data_time: 0.0109 memory: 16785 grad_norm: 0.1068 loss: 0.0174 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.8070 recall@top3: 0.7763 prec@top3: 0.6140 recall@top5: 0.9211 prec@top5: 0.4632 loss_action_cls: 0.0174 2022/12/05 08:58:58 - mmengine - INFO - Epoch(train) [6][3640/4451] lr: 5.3579e-02 eta: 2:33:49 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1094 loss: 0.0180 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8667 recall@top3: 0.8667 prec@top3: 0.8667 recall@top5: 0.9800 prec@top5: 0.6000 loss_action_cls: 0.0180 2022/12/05 08:59:08 - mmengine - INFO - Epoch(train) [6][3660/4451] lr: 5.3491e-02 eta: 2:33:39 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1061 loss: 0.0169 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.7971 recall@top3: 0.7536 prec@top3: 0.5507 recall@top5: 0.9203 prec@top5: 0.4174 loss_action_cls: 0.0169 2022/12/05 08:59:18 - mmengine - INFO - Epoch(train) [6][3680/4451] lr: 5.3403e-02 eta: 2:33:29 time: 0.4989 data_time: 0.0136 memory: 16785 grad_norm: 0.1021 loss: 0.0160 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8687 recall@top3: 0.8542 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0160 2022/12/05 08:59:27 - mmengine - INFO - Epoch(train) [6][3700/4451] lr: 5.3315e-02 eta: 2:33:19 time: 0.4960 data_time: 0.0112 memory: 16785 grad_norm: 0.1090 loss: 0.0171 recall@thr=0.5: 0.8298 prec@thr=0.5: 0.8947 recall@top3: 0.8307 prec@top3: 0.6842 recall@top5: 0.9789 prec@top5: 0.5053 loss_action_cls: 0.0171 2022/12/05 08:59:37 - mmengine - INFO - Epoch(train) [6][3720/4451] lr: 5.3227e-02 eta: 2:33:09 time: 0.4967 data_time: 0.0109 memory: 16785 grad_norm: 0.1106 loss: 0.0187 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6875 recall@top3: 0.7708 prec@top3: 0.4167 recall@top5: 0.9167 prec@top5: 0.3125 loss_action_cls: 0.0187 2022/12/05 08:59:47 - mmengine - INFO - Epoch(train) [6][3740/4451] lr: 5.3139e-02 eta: 2:32:59 time: 0.4970 data_time: 0.0107 memory: 16785 grad_norm: 0.1063 loss: 0.0177 recall@thr=0.5: 0.7065 prec@thr=0.5: 0.8333 recall@top3: 0.7754 prec@top3: 0.7246 recall@top5: 0.9058 prec@top5: 0.5217 loss_action_cls: 0.0177 2022/12/05 08:59:50 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 08:59:57 - mmengine - INFO - Epoch(train) [6][3760/4451] lr: 5.3051e-02 eta: 2:32:49 time: 0.4957 data_time: 0.0107 memory: 16785 grad_norm: 0.1083 loss: 0.0171 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.6587 recall@top3: 0.8492 prec@top3: 0.5714 recall@top5: 0.9444 prec@top5: 0.3810 loss_action_cls: 0.0171 2022/12/05 09:00:07 - mmengine - INFO - Epoch(train) [6][3780/4451] lr: 5.2963e-02 eta: 2:32:39 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1098 loss: 0.0168 recall@thr=0.5: 0.7392 prec@thr=0.5: 0.8039 recall@top3: 0.8196 prec@top3: 0.7843 recall@top5: 0.8608 prec@top5: 0.5059 loss_action_cls: 0.0168 2022/12/05 09:00:17 - mmengine - INFO - Epoch(train) [6][3800/4451] lr: 5.2875e-02 eta: 2:32:29 time: 0.4975 data_time: 0.0108 memory: 16785 grad_norm: 0.1023 loss: 0.0172 recall@thr=0.5: 0.5781 prec@thr=0.5: 0.6250 recall@top3: 0.7865 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0172 2022/12/05 09:00:27 - mmengine - INFO - Epoch(train) [6][3820/4451] lr: 5.2787e-02 eta: 2:32:20 time: 0.4967 data_time: 0.0109 memory: 16785 grad_norm: 0.1095 loss: 0.0190 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8333 recall@top3: 0.9603 prec@top3: 0.6667 recall@top5: 0.9841 prec@top5: 0.4190 loss_action_cls: 0.0190 2022/12/05 09:00:37 - mmengine - INFO - Epoch(train) [6][3840/4451] lr: 5.2698e-02 eta: 2:32:10 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1114 loss: 0.0157 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8333 recall@top3: 0.8413 prec@top3: 0.6984 recall@top5: 0.8968 prec@top5: 0.4571 loss_action_cls: 0.0157 2022/12/05 09:00:47 - mmengine - INFO - Epoch(train) [6][3860/4451] lr: 5.2610e-02 eta: 2:32:00 time: 0.4957 data_time: 0.0112 memory: 16785 grad_norm: 0.1082 loss: 0.0203 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8106 recall@top3: 0.8485 prec@top3: 0.6212 recall@top5: 0.9773 prec@top5: 0.4273 loss_action_cls: 0.0203 2022/12/05 09:00:57 - mmengine - INFO - Epoch(train) [6][3880/4451] lr: 5.2522e-02 eta: 2:31:50 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1029 loss: 0.0184 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8958 recall@top3: 0.8597 prec@top3: 0.6528 recall@top5: 0.9833 prec@top5: 0.4667 loss_action_cls: 0.0184 2022/12/05 09:01:07 - mmengine - INFO - Epoch(train) [6][3900/4451] lr: 5.2434e-02 eta: 2:31:40 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1074 loss: 0.0172 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8389 recall@top3: 0.8167 prec@top3: 0.7556 recall@top5: 0.9528 prec@top5: 0.5533 loss_action_cls: 0.0172 2022/12/05 09:01:17 - mmengine - INFO - Epoch(train) [6][3920/4451] lr: 5.2346e-02 eta: 2:31:30 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1145 loss: 0.0184 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8431 recall@top3: 0.8725 prec@top3: 0.6275 recall@top5: 0.9314 prec@top5: 0.4235 loss_action_cls: 0.0184 2022/12/05 09:01:27 - mmengine - INFO - Epoch(train) [6][3940/4451] lr: 5.2258e-02 eta: 2:31:20 time: 0.4959 data_time: 0.0112 memory: 16785 grad_norm: 0.1126 loss: 0.0183 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7402 recall@top3: 0.7941 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4353 loss_action_cls: 0.0183 2022/12/05 09:01:37 - mmengine - INFO - Epoch(train) [6][3960/4451] lr: 5.2170e-02 eta: 2:31:10 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1066 loss: 0.0177 recall@thr=0.5: 0.7138 prec@thr=0.5: 0.7572 recall@top3: 0.7971 prec@top3: 0.6377 recall@top5: 0.9420 prec@top5: 0.4522 loss_action_cls: 0.0177 2022/12/05 09:01:46 - mmengine - INFO - Epoch(train) [6][3980/4451] lr: 5.2082e-02 eta: 2:31:00 time: 0.4964 data_time: 0.0109 memory: 16785 grad_norm: 0.1070 loss: 0.0189 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7157 recall@top3: 0.9314 prec@top3: 0.5882 recall@top5: 0.9706 prec@top5: 0.3765 loss_action_cls: 0.0189 2022/12/05 09:01:56 - mmengine - INFO - Epoch(train) [6][4000/4451] lr: 5.1993e-02 eta: 2:30:50 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1139 loss: 0.0181 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8194 recall@top3: 0.8542 prec@top3: 0.5833 recall@top5: 0.8958 prec@top5: 0.3667 loss_action_cls: 0.0181 2022/12/05 09:02:06 - mmengine - INFO - Epoch(train) [6][4020/4451] lr: 5.1905e-02 eta: 2:30:40 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1087 loss: 0.0173 recall@thr=0.5: 0.3222 prec@thr=0.5: 0.3833 recall@top3: 0.9000 prec@top3: 0.4889 recall@top5: 0.9667 prec@top5: 0.3333 loss_action_cls: 0.0173 2022/12/05 09:02:16 - mmengine - INFO - Epoch(train) [6][4040/4451] lr: 5.1817e-02 eta: 2:30:31 time: 0.4959 data_time: 0.0109 memory: 16785 grad_norm: 0.1099 loss: 0.0168 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.8158 recall@top3: 0.7518 prec@top3: 0.6491 recall@top5: 0.9175 prec@top5: 0.4842 loss_action_cls: 0.0168 2022/12/05 09:02:26 - mmengine - INFO - Epoch(train) [6][4060/4451] lr: 5.1729e-02 eta: 2:30:21 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1084 loss: 0.0181 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7685 recall@top3: 0.7824 prec@top3: 0.5370 recall@top5: 0.9213 prec@top5: 0.3889 loss_action_cls: 0.0181 2022/12/05 09:02:36 - mmengine - INFO - Epoch(train) [6][4080/4451] lr: 5.1641e-02 eta: 2:30:11 time: 0.4968 data_time: 0.0108 memory: 16785 grad_norm: 0.1046 loss: 0.0180 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.9020 recall@top3: 0.9118 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0180 2022/12/05 09:02:46 - mmengine - INFO - Epoch(train) [6][4100/4451] lr: 5.1553e-02 eta: 2:30:01 time: 0.4980 data_time: 0.0111 memory: 16785 grad_norm: 0.1104 loss: 0.0184 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.8000 recall@top3: 0.6583 prec@top3: 0.4333 recall@top5: 0.6583 prec@top5: 0.2600 loss_action_cls: 0.0184 2022/12/05 09:02:56 - mmengine - INFO - Epoch(train) [6][4120/4451] lr: 5.1464e-02 eta: 2:29:51 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1105 loss: 0.0163 recall@thr=0.5: 0.3623 prec@thr=0.5: 0.4239 recall@top3: 0.7681 prec@top3: 0.4928 recall@top5: 0.8986 prec@top5: 0.3565 loss_action_cls: 0.0163 2022/12/05 09:03:06 - mmengine - INFO - Epoch(train) [6][4140/4451] lr: 5.1376e-02 eta: 2:29:41 time: 0.4960 data_time: 0.0107 memory: 16785 grad_norm: 0.1047 loss: 0.0184 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7639 recall@top3: 0.9097 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4333 loss_action_cls: 0.0184 2022/12/05 09:03:16 - mmengine - INFO - Epoch(train) [6][4160/4451] lr: 5.1288e-02 eta: 2:29:31 time: 0.4956 data_time: 0.0111 memory: 16785 grad_norm: 0.1078 loss: 0.0173 recall@thr=0.5: 0.4972 prec@thr=0.5: 0.6111 recall@top3: 0.6917 prec@top3: 0.5667 recall@top5: 0.8083 prec@top5: 0.4067 loss_action_cls: 0.0173 2022/12/05 09:03:26 - mmengine - INFO - Epoch(train) [6][4180/4451] lr: 5.1200e-02 eta: 2:29:21 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1110 loss: 0.0175 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.9444 recall@top3: 0.8704 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0175 2022/12/05 09:03:36 - mmengine - INFO - Epoch(train) [6][4200/4451] lr: 5.1112e-02 eta: 2:29:11 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1064 loss: 0.0169 recall@thr=0.5: 0.6711 prec@thr=0.5: 0.7807 recall@top3: 0.8596 prec@top3: 0.7719 recall@top5: 0.9211 prec@top5: 0.5053 loss_action_cls: 0.0169 2022/12/05 09:03:46 - mmengine - INFO - Epoch(train) [6][4220/4451] lr: 5.1023e-02 eta: 2:29:01 time: 0.4968 data_time: 0.0115 memory: 16785 grad_norm: 0.1103 loss: 0.0190 recall@thr=0.5: 0.7932 prec@thr=0.5: 0.8827 recall@top3: 0.8179 prec@top3: 0.7284 recall@top5: 0.9352 prec@top5: 0.4963 loss_action_cls: 0.0190 2022/12/05 09:03:56 - mmengine - INFO - Epoch(train) [6][4240/4451] lr: 5.0935e-02 eta: 2:28:51 time: 0.4963 data_time: 0.0103 memory: 16785 grad_norm: 0.1133 loss: 0.0192 recall@thr=0.5: 0.7962 prec@thr=0.5: 0.7689 recall@top3: 0.8114 prec@top3: 0.7273 recall@top5: 0.9606 prec@top5: 0.5364 loss_action_cls: 0.0192 2022/12/05 09:04:06 - mmengine - INFO - Epoch(train) [6][4260/4451] lr: 5.0847e-02 eta: 2:28:42 time: 0.4972 data_time: 0.0111 memory: 16785 grad_norm: 0.1072 loss: 0.0168 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8611 recall@top3: 0.9306 prec@top3: 0.7778 recall@top5: 0.9583 prec@top5: 0.4889 loss_action_cls: 0.0168 2022/12/05 09:04:15 - mmengine - INFO - Epoch(train) [6][4280/4451] lr: 5.0759e-02 eta: 2:28:32 time: 0.4958 data_time: 0.0105 memory: 16785 grad_norm: 0.1142 loss: 0.0190 recall@thr=0.5: 0.9263 prec@thr=0.5: 0.8912 recall@top3: 0.9474 prec@top3: 0.8070 recall@top5: 0.9789 prec@top5: 0.5158 loss_action_cls: 0.0190 2022/12/05 09:04:25 - mmengine - INFO - Epoch(train) [6][4300/4451] lr: 5.0671e-02 eta: 2:28:22 time: 0.4969 data_time: 0.0108 memory: 16785 grad_norm: 0.1125 loss: 0.0172 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7803 recall@top3: 0.9091 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0172 2022/12/05 09:04:35 - mmengine - INFO - Epoch(train) [6][4320/4451] lr: 5.0582e-02 eta: 2:28:12 time: 0.4968 data_time: 0.0117 memory: 16785 grad_norm: 0.1095 loss: 0.0176 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.8696 recall@top3: 0.9203 prec@top3: 0.5797 recall@top5: 0.9493 prec@top5: 0.3652 loss_action_cls: 0.0176 2022/12/05 09:04:45 - mmengine - INFO - Epoch(train) [6][4340/4451] lr: 5.0494e-02 eta: 2:28:02 time: 0.4962 data_time: 0.0106 memory: 16785 grad_norm: 0.1074 loss: 0.0193 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8137 recall@top3: 0.9020 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0193 2022/12/05 09:04:55 - mmengine - INFO - Epoch(train) [6][4360/4451] lr: 5.0406e-02 eta: 2:27:52 time: 0.4958 data_time: 0.0109 memory: 16785 grad_norm: 0.1109 loss: 0.0184 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.9250 recall@top3: 0.9125 prec@top3: 0.8667 recall@top5: 1.0000 prec@top5: 0.5800 loss_action_cls: 0.0184 2022/12/05 09:05:05 - mmengine - INFO - Epoch(train) [6][4380/4451] lr: 5.0318e-02 eta: 2:27:42 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1109 loss: 0.0174 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.7821 recall@top3: 0.8782 prec@top3: 0.6410 recall@top5: 0.9808 prec@top5: 0.4385 loss_action_cls: 0.0174 2022/12/05 09:05:15 - mmengine - INFO - Epoch(train) [6][4400/4451] lr: 5.0229e-02 eta: 2:27:32 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1102 loss: 0.0177 recall@thr=0.5: 0.8067 prec@thr=0.5: 0.8000 recall@top3: 0.9267 prec@top3: 0.7467 recall@top5: 0.9800 prec@top5: 0.4800 loss_action_cls: 0.0177 2022/12/05 09:05:25 - mmengine - INFO - Epoch(train) [6][4420/4451] lr: 5.0141e-02 eta: 2:27:22 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1055 loss: 0.0184 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.6927 recall@top3: 0.8750 prec@top3: 0.5417 recall@top5: 0.9688 prec@top5: 0.3875 loss_action_cls: 0.0184 2022/12/05 09:05:35 - mmengine - INFO - Epoch(train) [6][4440/4451] lr: 5.0053e-02 eta: 2:27:12 time: 0.4964 data_time: 0.0108 memory: 16785 grad_norm: 0.1097 loss: 0.0161 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5648 recall@top3: 0.8889 prec@top3: 0.5370 recall@top5: 0.9444 prec@top5: 0.3333 loss_action_cls: 0.0161 2022/12/05 09:05:40 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 09:05:40 - mmengine - INFO - Epoch(train) [6][4451/4451] lr: 5.0004e-02 eta: 2:27:07 time: 0.4921 data_time: 0.0111 memory: 16785 grad_norm: 0.1076 loss: 0.0157 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.5490 recall@top3: 0.6471 prec@top3: 0.4902 recall@top5: 0.8431 prec@top5: 0.3647 loss_action_cls: 0.0157 2022/12/05 09:05:40 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/12/05 09:05:45 - mmengine - INFO - Epoch(val) [6][ 20/6282] eta: 0:04:39 time: 0.0446 data_time: 0.0060 memory: 1088 2022/12/05 09:05:46 - mmengine - INFO - Epoch(val) [6][ 40/6282] eta: 0:04:17 time: 0.0381 data_time: 0.0021 memory: 1088 2022/12/05 09:05:46 - mmengine - INFO - Epoch(val) [6][ 60/6282] eta: 0:04:10 time: 0.0382 data_time: 0.0021 memory: 1088 2022/12/05 09:05:47 - mmengine - INFO - Epoch(val) [6][ 80/6282] eta: 0:04:06 time: 0.0378 data_time: 0.0018 memory: 1088 2022/12/05 09:05:48 - mmengine - INFO - Epoch(val) [6][ 100/6282] eta: 0:04:03 time: 0.0380 data_time: 0.0021 memory: 1088 2022/12/05 09:05:49 - mmengine - INFO - Epoch(val) [6][ 120/6282] eta: 0:04:12 time: 0.0488 data_time: 0.0023 memory: 1231 2022/12/05 09:05:50 - mmengine - INFO - Epoch(val) [6][ 140/6282] eta: 0:04:22 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 09:05:51 - mmengine - INFO - Epoch(val) [6][ 160/6282] eta: 0:04:30 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 09:05:52 - mmengine - INFO - Epoch(val) [6][ 180/6282] eta: 0:04:36 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:05:53 - mmengine - INFO - Epoch(val) [6][ 200/6282] eta: 0:04:40 time: 0.0545 data_time: 0.0040 memory: 1231 2022/12/05 09:05:54 - mmengine - INFO - Epoch(val) [6][ 220/6282] eta: 0:04:39 time: 0.0444 data_time: 0.0028 memory: 1113 2022/12/05 09:05:55 - mmengine - INFO - Epoch(val) [6][ 240/6282] eta: 0:04:36 time: 0.0426 data_time: 0.0022 memory: 1113 2022/12/05 09:05:56 - mmengine - INFO - Epoch(val) [6][ 260/6282] eta: 0:04:33 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:05:57 - mmengine - INFO - Epoch(val) [6][ 280/6282] eta: 0:04:31 time: 0.0422 data_time: 0.0019 memory: 1113 2022/12/05 09:05:58 - mmengine - INFO - Epoch(val) [6][ 300/6282] eta: 0:04:31 time: 0.0478 data_time: 0.0023 memory: 1231 2022/12/05 09:05:59 - mmengine - INFO - Epoch(val) [6][ 320/6282] eta: 0:04:33 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 09:06:00 - mmengine - INFO - Epoch(val) [6][ 340/6282] eta: 0:04:35 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:06:01 - mmengine - INFO - Epoch(val) [6][ 360/6282] eta: 0:04:37 time: 0.0544 data_time: 0.0024 memory: 1231 2022/12/05 09:06:02 - mmengine - INFO - Epoch(val) [6][ 380/6282] eta: 0:04:38 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:06:03 - mmengine - INFO - Epoch(val) [6][ 400/6282] eta: 0:04:38 time: 0.0480 data_time: 0.0021 memory: 1231 2022/12/05 09:06:04 - mmengine - INFO - Epoch(val) [6][ 420/6282] eta: 0:04:35 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:06:05 - mmengine - INFO - Epoch(val) [6][ 440/6282] eta: 0:04:33 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 09:06:05 - mmengine - INFO - Epoch(val) [6][ 460/6282] eta: 0:04:31 time: 0.0426 data_time: 0.0023 memory: 1122 2022/12/05 09:06:06 - mmengine - INFO - Epoch(val) [6][ 480/6282] eta: 0:04:29 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 09:06:07 - mmengine - INFO - Epoch(val) [6][ 500/6282] eta: 0:04:27 time: 0.0425 data_time: 0.0022 memory: 1122 2022/12/05 09:06:08 - mmengine - INFO - Epoch(val) [6][ 520/6282] eta: 0:04:25 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 09:06:09 - mmengine - INFO - Epoch(val) [6][ 540/6282] eta: 0:04:24 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 09:06:10 - mmengine - INFO - Epoch(val) [6][ 560/6282] eta: 0:04:22 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:06:11 - mmengine - INFO - Epoch(val) [6][ 580/6282] eta: 0:04:20 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:06:11 - mmengine - INFO - Epoch(val) [6][ 600/6282] eta: 0:04:19 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 09:06:12 - mmengine - INFO - Epoch(val) [6][ 620/6282] eta: 0:04:17 time: 0.0428 data_time: 0.0023 memory: 1113 2022/12/05 09:06:13 - mmengine - INFO - Epoch(val) [6][ 640/6282] eta: 0:04:15 time: 0.0405 data_time: 0.0019 memory: 1105 2022/12/05 09:06:14 - mmengine - INFO - Epoch(val) [6][ 660/6282] eta: 0:04:14 time: 0.0411 data_time: 0.0020 memory: 1105 2022/12/05 09:06:15 - mmengine - INFO - Epoch(val) [6][ 680/6282] eta: 0:04:12 time: 0.0409 data_time: 0.0019 memory: 1105 2022/12/05 09:06:16 - mmengine - INFO - Epoch(val) [6][ 700/6282] eta: 0:04:11 time: 0.0414 data_time: 0.0024 memory: 1105 2022/12/05 09:06:17 - mmengine - INFO - Epoch(val) [6][ 720/6282] eta: 0:04:13 time: 0.0647 data_time: 0.0160 memory: 1231 2022/12/05 09:06:19 - mmengine - INFO - Epoch(val) [6][ 740/6282] eta: 0:04:18 time: 0.0897 data_time: 0.0372 memory: 1231 2022/12/05 09:06:20 - mmengine - INFO - Epoch(val) [6][ 760/6282] eta: 0:04:22 time: 0.0788 data_time: 0.0259 memory: 1231 2022/12/05 09:06:21 - mmengine - INFO - Epoch(val) [6][ 780/6282] eta: 0:04:23 time: 0.0566 data_time: 0.0049 memory: 1231 2022/12/05 09:06:22 - mmengine - INFO - Epoch(val) [6][ 800/6282] eta: 0:04:22 time: 0.0539 data_time: 0.0024 memory: 1231 2022/12/05 09:06:23 - mmengine - INFO - Epoch(val) [6][ 820/6282] eta: 0:04:21 time: 0.0472 data_time: 0.0020 memory: 1231 2022/12/05 09:06:24 - mmengine - INFO - Epoch(val) [6][ 840/6282] eta: 0:04:20 time: 0.0421 data_time: 0.0019 memory: 1113 2022/12/05 09:06:25 - mmengine - INFO - Epoch(val) [6][ 860/6282] eta: 0:04:18 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 09:06:26 - mmengine - INFO - Epoch(val) [6][ 880/6282] eta: 0:04:16 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:06:27 - mmengine - INFO - Epoch(val) [6][ 900/6282] eta: 0:04:15 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:06:28 - mmengine - INFO - Epoch(val) [6][ 920/6282] eta: 0:04:13 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:06:28 - mmengine - INFO - Epoch(val) [6][ 940/6282] eta: 0:04:11 time: 0.0377 data_time: 0.0018 memory: 1088 2022/12/05 09:06:29 - mmengine - INFO - Epoch(val) [6][ 960/6282] eta: 0:04:09 time: 0.0380 data_time: 0.0021 memory: 1088 2022/12/05 09:06:30 - mmengine - INFO - Epoch(val) [6][ 980/6282] eta: 0:04:07 time: 0.0379 data_time: 0.0020 memory: 1088 2022/12/05 09:06:31 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:04:05 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 09:06:31 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:04:04 time: 0.0383 data_time: 0.0020 memory: 1113 2022/12/05 09:06:32 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:04:02 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:06:33 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:04:01 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:06:34 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:03:59 time: 0.0416 data_time: 0.0018 memory: 1113 2022/12/05 09:06:35 - mmengine - INFO 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[6][1260/6282] eta: 0:03:54 time: 0.0752 data_time: 0.0233 memory: 1231 2022/12/05 09:06:45 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:03:56 time: 0.0900 data_time: 0.0380 memory: 1231 2022/12/05 09:06:46 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:03:58 time: 0.0765 data_time: 0.0241 memory: 1231 2022/12/05 09:06:48 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:03:59 time: 0.0823 data_time: 0.0302 memory: 1231 2022/12/05 09:06:50 - mmengine - INFO - Epoch(val) [6][1340/6282] eta: 0:04:01 time: 0.0839 data_time: 0.0320 memory: 1231 2022/12/05 09:06:51 - mmengine - INFO - Epoch(val) [6][1360/6282] eta: 0:04:02 time: 0.0835 data_time: 0.0308 memory: 1231 2022/12/05 09:06:53 - mmengine - INFO - Epoch(val) [6][1380/6282] eta: 0:04:03 time: 0.0763 data_time: 0.0245 memory: 1231 2022/12/05 09:06:54 - mmengine - INFO - Epoch(val) [6][1400/6282] eta: 0:04:04 time: 0.0749 data_time: 0.0234 memory: 1231 2022/12/05 09:06:55 - mmengine - INFO - Epoch(val) [6][1420/6282] eta: 0:04:03 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:06:56 - mmengine - INFO - Epoch(val) [6][1440/6282] eta: 0:04:02 time: 0.0534 data_time: 0.0019 memory: 1231 2022/12/05 09:06:57 - mmengine - INFO - Epoch(val) [6][1460/6282] eta: 0:04:02 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:06:59 - mmengine - INFO - Epoch(val) [6][1480/6282] eta: 0:04:01 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:07:00 - mmengine - INFO - Epoch(val) [6][1500/6282] eta: 0:04:00 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:07:01 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:03:59 time: 0.0544 data_time: 0.0022 memory: 1404 2022/12/05 09:07:02 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:04:00 time: 0.0685 data_time: 0.0026 memory: 1404 2022/12/05 09:07:03 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:04:00 time: 0.0683 data_time: 0.0026 memory: 1404 2022/12/05 09:07:05 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:04:00 time: 0.0681 data_time: 0.0024 memory: 1404 2022/12/05 09:07:06 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:04:00 time: 0.0683 data_time: 0.0026 memory: 1404 2022/12/05 09:07:08 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:04:00 time: 0.0681 data_time: 0.0025 memory: 1404 2022/12/05 09:07:09 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:03:59 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:07:10 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:03:58 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:07:11 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:03:57 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 09:07:12 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:03:56 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 09:07:13 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:03:55 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 09:07:14 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:03:54 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 09:07:15 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:03:53 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 09:07:16 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:03:52 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:07:17 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:03:51 time: 0.0542 data_time: 0.0022 memory: 1231 2022/12/05 09:07:18 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:03:50 time: 0.0549 data_time: 0.0028 memory: 1231 2022/12/05 09:07:19 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:03:49 time: 0.0552 data_time: 0.0029 memory: 1231 2022/12/05 09:07:21 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:03:50 time: 0.0790 data_time: 0.0266 memory: 1231 2022/12/05 09:07:23 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:03:50 time: 0.0752 data_time: 0.0228 memory: 1231 2022/12/05 09:07:24 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:03:50 time: 0.0764 data_time: 0.0237 memory: 1231 2022/12/05 09:07:25 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:03:49 time: 0.0631 data_time: 0.0111 memory: 1231 2022/12/05 09:07:26 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:03:48 time: 0.0508 data_time: 0.0022 memory: 1231 2022/12/05 09:07:27 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:03:47 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 09:07:28 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:03:45 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 09:07:29 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:03:44 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:07:30 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:03:42 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 09:07:31 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:03:41 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 09:07:31 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:03:39 time: 0.0439 data_time: 0.0020 memory: 1122 2022/12/05 09:07:32 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:03:38 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 09:07:33 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:03:36 time: 0.0426 data_time: 0.0021 memory: 1122 2022/12/05 09:07:34 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:03:35 time: 0.0420 data_time: 0.0020 memory: 1122 2022/12/05 09:07:35 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:03:34 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 09:07:36 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:03:32 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 09:07:37 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:03:31 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:07:37 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:03:29 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:07:38 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:03:28 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:07:39 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:03:27 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:07:40 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:03:25 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:07:41 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:03:24 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:07:42 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:03:23 time: 0.0425 data_time: 0.0020 memory: 1122 2022/12/05 09:07:42 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:03:21 time: 0.0424 data_time: 0.0022 memory: 1122 2022/12/05 09:07:43 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:03:20 time: 0.0419 data_time: 0.0019 memory: 1122 2022/12/05 09:07:44 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:03:19 time: 0.0418 data_time: 0.0020 memory: 1113 2022/12/05 09:07:45 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:03:17 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:07:46 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:03:16 time: 0.0430 data_time: 0.0019 memory: 1113 2022/12/05 09:07:47 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:03:15 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:07:48 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:03:14 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:07:49 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:03:13 time: 0.0535 data_time: 0.0023 memory: 1231 2022/12/05 09:07:50 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:03:12 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 09:07:51 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:03:11 time: 0.0559 data_time: 0.0031 memory: 1231 2022/12/05 09:07:52 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:03:10 time: 0.0551 data_time: 0.0024 memory: 1231 2022/12/05 09:07:53 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:03:09 time: 0.0587 data_time: 0.0061 memory: 1231 2022/12/05 09:07:55 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:03:09 time: 0.0793 data_time: 0.0261 memory: 1231 2022/12/05 09:07:56 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:03:09 time: 0.0890 data_time: 0.0368 memory: 1231 2022/12/05 09:07:58 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:03:09 time: 0.0855 data_time: 0.0334 memory: 1231 2022/12/05 09:08:00 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:03:09 time: 0.0756 data_time: 0.0226 memory: 1231 2022/12/05 09:08:01 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:03:08 time: 0.0577 data_time: 0.0057 memory: 1231 2022/12/05 09:08:02 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:03:07 time: 0.0665 data_time: 0.0024 memory: 1388 2022/12/05 09:08:04 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:03:07 time: 0.0668 data_time: 0.0026 memory: 1388 2022/12/05 09:08:05 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:03:06 time: 0.0671 data_time: 0.0029 memory: 1388 2022/12/05 09:08:06 - mmengine - INFO - Epoch(val) 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eta: 0:02:56 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 09:08:15 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:02:55 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 09:08:16 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:02:54 time: 0.0484 data_time: 0.0022 memory: 1231 2022/12/05 09:08:17 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:02:53 time: 0.0461 data_time: 0.0020 memory: 1170 2022/12/05 09:08:18 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:02:52 time: 0.0461 data_time: 0.0020 memory: 1170 2022/12/05 09:08:19 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:02:51 time: 0.0462 data_time: 0.0022 memory: 1170 2022/12/05 09:08:20 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:02:49 time: 0.0460 data_time: 0.0020 memory: 1170 2022/12/05 09:08:21 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:02:48 time: 0.0533 data_time: 0.0022 memory: 1231 2022/12/05 09:08:22 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:02:47 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 09:08:23 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:02:46 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:08:24 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:02:45 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 09:08:25 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:02:44 time: 0.0480 data_time: 0.0021 memory: 1231 2022/12/05 09:08:26 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:02:43 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:08:27 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:02:42 time: 0.0420 data_time: 0.0019 memory: 1122 2022/12/05 09:08:27 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:02:41 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 09:08:28 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:02:39 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 09:08:29 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:02:38 time: 0.0505 data_time: 0.0022 memory: 1231 2022/12/05 09:08:30 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:02:37 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:08:31 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:02:36 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 09:08:33 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:02:35 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:08:34 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:02:34 time: 0.0562 data_time: 0.0034 memory: 1231 2022/12/05 09:08:35 - mmengine - INFO - Epoch(val) [6][3300/6282] eta: 0:02:33 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:08:36 - mmengine - INFO - Epoch(val) [6][3320/6282] eta: 0:02:32 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:08:37 - mmengine - INFO - Epoch(val) [6][3340/6282] eta: 0:02:31 time: 0.0538 data_time: 0.0021 memory: 1231 2022/12/05 09:08:38 - mmengine - INFO - Epoch(val) [6][3360/6282] eta: 0:02:30 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:08:39 - mmengine - INFO - Epoch(val) [6][3380/6282] eta: 0:02:29 time: 0.0501 data_time: 0.0021 memory: 1231 2022/12/05 09:08:40 - mmengine - INFO - Epoch(val) [6][3400/6282] eta: 0:02:28 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:08:41 - mmengine - INFO - Epoch(val) [6][3420/6282] eta: 0:02:27 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:08:41 - mmengine - INFO - Epoch(val) [6][3440/6282] eta: 0:02:26 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:08:42 - mmengine - INFO - Epoch(val) [6][3460/6282] eta: 0:02:25 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 09:08:43 - mmengine - INFO - Epoch(val) [6][3480/6282] eta: 0:02:23 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:08:44 - mmengine - INFO - Epoch(val) [6][3500/6282] eta: 0:02:22 time: 0.0416 data_time: 0.0019 memory: 1113 2022/12/05 09:08:45 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:02:21 time: 0.0424 data_time: 0.0020 memory: 1113 2022/12/05 09:08:46 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:02:20 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:08:47 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:02:19 time: 0.0421 data_time: 0.0022 memory: 1113 2022/12/05 09:08:47 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:18 time: 0.0443 data_time: 0.0019 memory: 1197 2022/12/05 09:08:48 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:02:17 time: 0.0481 data_time: 0.0021 memory: 1197 2022/12/05 09:08:49 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:02:15 time: 0.0481 data_time: 0.0021 memory: 1197 2022/12/05 09:08:50 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:02:14 time: 0.0479 data_time: 0.0021 memory: 1197 2022/12/05 09:08:51 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:02:13 time: 0.0482 data_time: 0.0022 memory: 1197 2022/12/05 09:08:52 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:02:12 time: 0.0512 data_time: 0.0024 memory: 1231 2022/12/05 09:08:53 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:02:11 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 09:08:55 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:02:10 time: 0.0541 data_time: 0.0025 memory: 1231 2022/12/05 09:08:56 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:02:09 time: 0.0542 data_time: 0.0025 memory: 1231 2022/12/05 09:08:57 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:02:08 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 09:08:58 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:02:07 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 09:08:59 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:02:06 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 09:09:00 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:02:05 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 09:09:01 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:02:04 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 09:09:02 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:02:04 time: 0.0543 data_time: 0.0025 memory: 1231 2022/12/05 09:09:03 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:02:03 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:09:04 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:02:02 time: 0.0553 data_time: 0.0027 memory: 1231 2022/12/05 09:09:05 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:02:01 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 09:09:06 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:02:00 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:09:08 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:01:59 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:09:09 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:01:58 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:09:10 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:01:57 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:09:11 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:01:56 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:09:12 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:01:55 time: 0.0558 data_time: 0.0023 memory: 1388 2022/12/05 09:09:13 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:01:54 time: 0.0664 data_time: 0.0023 memory: 1388 2022/12/05 09:09:15 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:01:53 time: 0.0664 data_time: 0.0024 memory: 1388 2022/12/05 09:09:16 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:01:52 time: 0.0664 data_time: 0.0024 memory: 1388 2022/12/05 09:09:17 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:01:51 time: 0.0664 data_time: 0.0024 memory: 1388 2022/12/05 09:09:18 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:01:50 time: 0.0564 data_time: 0.0021 memory: 1388 2022/12/05 09:09:19 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:01:49 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 09:09:20 - mmengine - INFO - Epoch(val) 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eta: 0:01:39 time: 0.0416 data_time: 0.0018 memory: 1111 2022/12/05 09:09:28 - mmengine - INFO - Epoch(val) [6][4360/6282] eta: 0:01:38 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:09:29 - mmengine - INFO - Epoch(val) [6][4380/6282] eta: 0:01:37 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:09:30 - mmengine - INFO - Epoch(val) [6][4400/6282] eta: 0:01:36 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:09:31 - mmengine - INFO - Epoch(val) [6][4420/6282] eta: 0:01:35 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 09:09:32 - mmengine - INFO - Epoch(val) [6][4440/6282] eta: 0:01:34 time: 0.0541 data_time: 0.0022 memory: 1245 2022/12/05 09:09:33 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:01:33 time: 0.0545 data_time: 0.0022 memory: 1245 2022/12/05 09:09:34 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:01:32 time: 0.0546 data_time: 0.0023 memory: 1245 2022/12/05 09:09:35 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:01:31 time: 0.0545 data_time: 0.0023 memory: 1245 2022/12/05 09:09:36 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:01:30 time: 0.0514 data_time: 0.0021 memory: 1245 2022/12/05 09:09:37 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:29 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 09:09:38 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:28 time: 0.0422 data_time: 0.0019 memory: 1122 2022/12/05 09:09:39 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:27 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:09:40 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:01:26 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 09:09:41 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:24 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:09:42 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:01:23 time: 0.0546 data_time: 0.0023 memory: 1245 2022/12/05 09:09:43 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:01:22 time: 0.0545 data_time: 0.0023 memory: 1245 2022/12/05 09:09:44 - mmengine - INFO - Epoch(val) [6][4680/6282] eta: 0:01:21 time: 0.0547 data_time: 0.0022 memory: 1245 2022/12/05 09:09:45 - mmengine - INFO - Epoch(val) [6][4700/6282] eta: 0:01:20 time: 0.0545 data_time: 0.0022 memory: 1245 2022/12/05 09:09:46 - mmengine - INFO - Epoch(val) [6][4720/6282] eta: 0:01:19 time: 0.0536 data_time: 0.0022 memory: 1245 2022/12/05 09:09:47 - mmengine - INFO - Epoch(val) [6][4740/6282] eta: 0:01:18 time: 0.0460 data_time: 0.0021 memory: 1164 2022/12/05 09:09:48 - mmengine - INFO - Epoch(val) [6][4760/6282] eta: 0:01:17 time: 0.0458 data_time: 0.0020 memory: 1164 2022/12/05 09:09:49 - mmengine - INFO - Epoch(val) [6][4780/6282] eta: 0:01:16 time: 0.0461 data_time: 0.0020 memory: 1164 2022/12/05 09:09:50 - mmengine - INFO - Epoch(val) [6][4800/6282] eta: 0:01:15 time: 0.0459 data_time: 0.0020 memory: 1164 2022/12/05 09:09:51 - mmengine - INFO - Epoch(val) [6][4820/6282] eta: 0:01:14 time: 0.0483 data_time: 0.0021 memory: 1231 2022/12/05 09:09:52 - mmengine - INFO - Epoch(val) [6][4840/6282] eta: 0:01:13 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:09:53 - mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:12 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:09:54 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:11 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:09:55 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:10 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 09:09:56 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:09 time: 0.0536 data_time: 0.0022 memory: 1237 2022/12/05 09:09:57 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:08 time: 0.0543 data_time: 0.0028 memory: 1237 2022/12/05 09:09:58 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:01:07 time: 0.0540 data_time: 0.0022 memory: 1237 2022/12/05 09:09:59 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:06 time: 0.0537 data_time: 0.0022 memory: 1237 2022/12/05 09:10:01 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:01:05 time: 0.0553 data_time: 0.0022 memory: 1237 2022/12/05 09:10:02 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:01:04 time: 0.0477 data_time: 0.0020 memory: 1237 2022/12/05 09:10:02 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:01:03 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 09:10:03 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:01:02 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 09:10:04 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:01:01 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:10:05 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:01:00 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 09:10:06 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:00:59 time: 0.0418 data_time: 0.0019 memory: 1122 2022/12/05 09:10:07 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:00:58 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:10:07 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:00:57 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:10:08 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:00:56 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:10:09 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:00:55 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:10:10 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:00:53 time: 0.0421 data_time: 0.0019 memory: 1113 2022/12/05 09:10:11 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:00:52 time: 0.0419 data_time: 0.0019 memory: 1111 2022/12/05 09:10:12 - mmengine - INFO - Epoch(val) [6][5260/6282] eta: 0:00:51 time: 0.0417 data_time: 0.0019 memory: 1111 2022/12/05 09:10:12 - mmengine - INFO - Epoch(val) [6][5280/6282] eta: 0:00:50 time: 0.0422 data_time: 0.0019 memory: 1111 2022/12/05 09:10:13 - mmengine - INFO - Epoch(val) [6][5300/6282] eta: 0:00:49 time: 0.0417 data_time: 0.0018 memory: 1111 2022/12/05 09:10:14 - mmengine - INFO - Epoch(val) [6][5320/6282] eta: 0:00:48 time: 0.0420 data_time: 0.0021 memory: 1113 2022/12/05 09:10:15 - mmengine - INFO - Epoch(val) [6][5340/6282] eta: 0:00:47 time: 0.0419 data_time: 0.0018 memory: 1113 2022/12/05 09:10:16 - mmengine - INFO - Epoch(val) [6][5360/6282] eta: 0:00:46 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:10:17 - mmengine - INFO - Epoch(val) [6][5380/6282] eta: 0:00:45 time: 0.0424 data_time: 0.0022 memory: 1113 2022/12/05 09:10:18 - mmengine - INFO - Epoch(val) [6][5400/6282] eta: 0:00:44 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:10:18 - mmengine - INFO - Epoch(val) [6][5420/6282] eta: 0:00:43 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:10:19 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:42 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 09:10:20 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:41 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 09:10:21 - mmengine - INFO 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eta: 0:00:24 time: 0.0468 data_time: 0.0020 memory: 1181 2022/12/05 09:10:36 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:23 time: 0.0460 data_time: 0.0021 memory: 1181 2022/12/05 09:10:37 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:22 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 09:10:38 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:21 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 09:10:39 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:20 time: 0.0445 data_time: 0.0019 memory: 1155 2022/12/05 09:10:40 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:19 time: 0.0447 data_time: 0.0020 memory: 1155 2022/12/05 09:10:41 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:18 time: 0.0428 data_time: 0.0019 memory: 1155 2022/12/05 09:10:41 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:17 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:10:42 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:16 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 09:10:43 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:15 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 09:10:44 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:14 time: 0.0506 data_time: 0.0022 memory: 1231 2022/12/05 09:10:45 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:13 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:10:46 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:12 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 09:10:47 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:11 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:10:48 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:10 time: 0.0544 data_time: 0.0024 memory: 1231 2022/12/05 09:10:49 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:09 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 09:10:51 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:08 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 09:10:52 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:07 time: 0.0544 data_time: 0.0023 memory: 1231 2022/12/05 09:10:53 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:06 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 09:10:54 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:05 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:10:55 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:04 time: 0.0531 data_time: 0.0019 memory: 1231 2022/12/05 09:10:56 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:03 time: 0.0533 data_time: 0.0020 memory: 1231 2022/12/05 09:10:57 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:02 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:10:58 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:01 time: 0.0534 data_time: 0.0021 memory: 1231 2022/12/05 09:10:59 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0530 data_time: 0.0018 memory: 1231 2022/12/05 09:16:19 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.3069 2022/12/05 09:16:19 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2022/12/05 09:16:22 - mmengine - INFO - The best checkpoint with 0.3069 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2022/12/05 09:16:33 - mmengine - INFO - Epoch(train) [7][ 20/4451] lr: 4.9916e-02 eta: 2:26:58 time: 0.5450 data_time: 0.0494 memory: 16785 grad_norm: 0.1071 loss: 0.0175 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8802 recall@top3: 0.7708 prec@top3: 0.6250 recall@top5: 0.9271 prec@top5: 0.4500 loss_action_cls: 0.0175 2022/12/05 09:16:43 - mmengine - INFO - Epoch(train) [7][ 40/4451] lr: 4.9828e-02 eta: 2:26:48 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.1160 loss: 0.0185 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.7955 recall@top3: 0.7803 prec@top3: 0.6515 recall@top5: 0.9697 prec@top5: 0.4818 loss_action_cls: 0.0185 2022/12/05 09:16:53 - mmengine - INFO - Epoch(train) [7][ 60/4451] lr: 4.9740e-02 eta: 2:26:38 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1115 loss: 0.0185 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8333 recall@top3: 0.8010 prec@top3: 0.7451 recall@top5: 0.9275 prec@top5: 0.5176 loss_action_cls: 0.0185 2022/12/05 09:17:03 - mmengine - INFO - Epoch(train) [7][ 80/4451] lr: 4.9652e-02 eta: 2:26:28 time: 0.4957 data_time: 0.0103 memory: 16785 grad_norm: 0.1101 loss: 0.0166 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7381 recall@top3: 0.8095 prec@top3: 0.6190 recall@top5: 0.8730 prec@top5: 0.4000 loss_action_cls: 0.0166 2022/12/05 09:17:13 - mmengine - INFO - Epoch(train) [7][ 100/4451] lr: 4.9563e-02 eta: 2:26:18 time: 0.4954 data_time: 0.0108 memory: 16785 grad_norm: 0.1104 loss: 0.0167 recall@thr=0.5: 0.8117 prec@thr=0.5: 0.7778 recall@top3: 0.8673 prec@top3: 0.6173 recall@top5: 0.9630 prec@top5: 0.4296 loss_action_cls: 0.0167 2022/12/05 09:17:22 - mmengine - INFO - Epoch(train) [7][ 120/4451] lr: 4.9475e-02 eta: 2:26:08 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1089 loss: 0.0174 recall@thr=0.5: 0.5568 prec@thr=0.5: 0.7879 recall@top3: 0.8106 prec@top3: 0.6818 recall@top5: 0.9015 prec@top5: 0.4727 loss_action_cls: 0.0174 2022/12/05 09:17:32 - mmengine - INFO - Epoch(train) [7][ 140/4451] lr: 4.9387e-02 eta: 2:25:58 time: 0.4962 data_time: 0.0107 memory: 16785 grad_norm: 0.1114 loss: 0.0176 recall@thr=0.5: 0.5933 prec@thr=0.5: 0.5867 recall@top3: 0.6333 prec@top3: 0.4933 recall@top5: 0.8600 prec@top5: 0.4000 loss_action_cls: 0.0176 2022/12/05 09:17:42 - mmengine - INFO - Epoch(train) [7][ 160/4451] lr: 4.9299e-02 eta: 2:25:48 time: 0.4956 data_time: 0.0105 memory: 16785 grad_norm: 0.1138 loss: 0.0189 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.7083 recall@top3: 0.8875 prec@top3: 0.5667 recall@top5: 0.9875 prec@top5: 0.3700 loss_action_cls: 0.0189 2022/12/05 09:17:52 - mmengine - INFO - Epoch(train) [7][ 180/4451] lr: 4.9210e-02 eta: 2:25:38 time: 0.4956 data_time: 0.0103 memory: 16785 grad_norm: 0.1141 loss: 0.0156 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7037 recall@top3: 0.8333 prec@top3: 0.6481 recall@top5: 0.9630 prec@top5: 0.4556 loss_action_cls: 0.0156 2022/12/05 09:18:02 - mmengine - INFO - Epoch(train) [7][ 200/4451] lr: 4.9122e-02 eta: 2:25:28 time: 0.4959 data_time: 0.0109 memory: 16785 grad_norm: 0.1168 loss: 0.0182 recall@thr=0.5: 0.6227 prec@thr=0.5: 0.6818 recall@top3: 0.7856 prec@top3: 0.6818 recall@top5: 0.9705 prec@top5: 0.5182 loss_action_cls: 0.0182 2022/12/05 09:18:12 - mmengine - INFO - Epoch(train) [7][ 220/4451] lr: 4.9034e-02 eta: 2:25:18 time: 0.4967 data_time: 0.0104 memory: 16785 grad_norm: 0.1105 loss: 0.0171 recall@thr=0.5: 0.5992 prec@thr=0.5: 0.7937 recall@top3: 0.8056 prec@top3: 0.6825 recall@top5: 0.8929 prec@top5: 0.4571 loss_action_cls: 0.0171 2022/12/05 09:18:22 - mmengine - INFO - Epoch(train) [7][ 240/4451] lr: 4.8946e-02 eta: 2:25:09 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1114 loss: 0.0184 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.8125 recall@top3: 0.8646 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4583 loss_action_cls: 0.0184 2022/12/05 09:18:32 - mmengine - INFO - Epoch(train) [7][ 260/4451] lr: 4.8858e-02 eta: 2:24:59 time: 0.4959 data_time: 0.0106 memory: 16785 grad_norm: 0.1086 loss: 0.0176 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.7992 recall@top3: 0.7652 prec@top3: 0.7424 recall@top5: 0.8939 prec@top5: 0.5182 loss_action_cls: 0.0176 2022/12/05 09:18:42 - mmengine - INFO - Epoch(train) [7][ 280/4451] lr: 4.8769e-02 eta: 2:24:49 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1148 loss: 0.0144 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.5556 recall@top3: 0.8175 prec@top3: 0.5873 recall@top5: 0.9683 prec@top5: 0.4095 loss_action_cls: 0.0144 2022/12/05 09:18:49 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 09:18:52 - mmengine - INFO - Epoch(train) [7][ 300/4451] lr: 4.8681e-02 eta: 2:24:39 time: 0.4960 data_time: 0.0103 memory: 16785 grad_norm: 0.1149 loss: 0.0161 recall@thr=0.5: 0.6816 prec@thr=0.5: 0.8105 recall@top3: 0.7693 prec@top3: 0.6491 recall@top5: 0.9132 prec@top5: 0.4947 loss_action_cls: 0.0161 2022/12/05 09:19:02 - mmengine - INFO - Epoch(train) [7][ 320/4451] lr: 4.8593e-02 eta: 2:24:29 time: 0.4960 data_time: 0.0106 memory: 16785 grad_norm: 0.1084 loss: 0.0179 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8889 recall@top3: 0.9524 prec@top3: 0.7937 recall@top5: 0.9683 prec@top5: 0.4857 loss_action_cls: 0.0179 2022/12/05 09:19:12 - mmengine - INFO - Epoch(train) [7][ 340/4451] lr: 4.8505e-02 eta: 2:24:19 time: 0.4961 data_time: 0.0108 memory: 16785 grad_norm: 0.1104 loss: 0.0166 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7436 recall@top3: 0.8590 prec@top3: 0.6410 recall@top5: 0.9615 prec@top5: 0.4385 loss_action_cls: 0.0166 2022/12/05 09:19:22 - mmengine - INFO - Epoch(train) [7][ 360/4451] lr: 4.8417e-02 eta: 2:24:09 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1160 loss: 0.0171 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8750 recall@top3: 0.9375 prec@top3: 0.7708 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0171 2022/12/05 09:19:31 - mmengine - INFO - Epoch(train) [7][ 380/4451] lr: 4.8328e-02 eta: 2:23:59 time: 0.4959 data_time: 0.0106 memory: 16785 grad_norm: 0.1094 loss: 0.0183 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.5357 recall@top3: 0.6786 prec@top3: 0.4048 recall@top5: 0.7500 prec@top5: 0.2714 loss_action_cls: 0.0183 2022/12/05 09:19:41 - mmengine - INFO - Epoch(train) [7][ 400/4451] lr: 4.8240e-02 eta: 2:23:49 time: 0.4966 data_time: 0.0105 memory: 16785 grad_norm: 0.1095 loss: 0.0177 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8073 recall@top3: 0.8854 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0177 2022/12/05 09:19:51 - mmengine - INFO - Epoch(train) [7][ 420/4451] lr: 4.8152e-02 eta: 2:23:39 time: 0.4960 data_time: 0.0107 memory: 16785 grad_norm: 0.1149 loss: 0.0190 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.8116 recall@top3: 0.8261 prec@top3: 0.7101 recall@top5: 0.9565 prec@top5: 0.5130 loss_action_cls: 0.0190 2022/12/05 09:20:01 - mmengine - INFO - Epoch(train) [7][ 440/4451] lr: 4.8064e-02 eta: 2:23:29 time: 0.4957 data_time: 0.0113 memory: 16785 grad_norm: 0.1098 loss: 0.0163 recall@thr=0.5: 0.6365 prec@thr=0.5: 0.7692 recall@top3: 0.7378 prec@top3: 0.7692 recall@top5: 0.9154 prec@top5: 0.5769 loss_action_cls: 0.0163 2022/12/05 09:20:11 - mmengine - INFO - Epoch(train) [7][ 460/4451] lr: 4.7976e-02 eta: 2:23:19 time: 0.4948 data_time: 0.0109 memory: 16785 grad_norm: 0.1095 loss: 0.0164 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7292 recall@top3: 0.7812 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0164 2022/12/05 09:20:21 - mmengine - INFO - Epoch(train) [7][ 480/4451] lr: 4.7888e-02 eta: 2:23:10 time: 0.4952 data_time: 0.0108 memory: 16785 grad_norm: 0.1156 loss: 0.0163 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8667 recall@top3: 1.0000 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0163 2022/12/05 09:20:31 - mmengine - INFO - Epoch(train) [7][ 500/4451] lr: 4.7799e-02 eta: 2:23:00 time: 0.4961 data_time: 0.0107 memory: 16785 grad_norm: 0.1123 loss: 0.0173 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.7500 recall@top3: 0.8750 prec@top3: 0.6364 recall@top5: 0.9205 prec@top5: 0.4182 loss_action_cls: 0.0173 2022/12/05 09:20:41 - mmengine - INFO - Epoch(train) [7][ 520/4451] lr: 4.7711e-02 eta: 2:22:50 time: 0.4954 data_time: 0.0111 memory: 16785 grad_norm: 0.1140 loss: 0.0154 recall@thr=0.5: 0.8157 prec@thr=0.5: 0.7525 recall@top3: 0.8611 prec@top3: 0.7172 recall@top5: 0.9697 prec@top5: 0.5030 loss_action_cls: 0.0154 2022/12/05 09:20:51 - mmengine - INFO - Epoch(train) [7][ 540/4451] lr: 4.7623e-02 eta: 2:22:40 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1147 loss: 0.0174 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7037 recall@top3: 0.7241 prec@top3: 0.5741 recall@top5: 0.8565 prec@top5: 0.4333 loss_action_cls: 0.0174 2022/12/05 09:21:01 - mmengine - INFO - Epoch(train) [7][ 560/4451] lr: 4.7535e-02 eta: 2:22:30 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1181 loss: 0.0169 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.9123 recall@top3: 0.7535 prec@top3: 0.7193 recall@top5: 0.9456 prec@top5: 0.5895 loss_action_cls: 0.0169 2022/12/05 09:21:11 - mmengine - INFO - Epoch(train) [7][ 580/4451] lr: 4.7447e-02 eta: 2:22:20 time: 0.4953 data_time: 0.0109 memory: 16785 grad_norm: 0.1116 loss: 0.0182 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7353 recall@top3: 0.8137 prec@top3: 0.4510 recall@top5: 0.8529 prec@top5: 0.2941 loss_action_cls: 0.0182 2022/12/05 09:21:21 - mmengine - INFO - Epoch(train) [7][ 600/4451] lr: 4.7359e-02 eta: 2:22:10 time: 0.4953 data_time: 0.0108 memory: 16785 grad_norm: 0.1073 loss: 0.0173 recall@thr=0.5: 0.5708 prec@thr=0.5: 0.6958 recall@top3: 0.7875 prec@top3: 0.6667 recall@top5: 0.9292 prec@top5: 0.4900 loss_action_cls: 0.0173 2022/12/05 09:21:30 - mmengine - INFO - Epoch(train) [7][ 620/4451] lr: 4.7271e-02 eta: 2:22:00 time: 0.4962 data_time: 0.0112 memory: 16785 grad_norm: 0.1125 loss: 0.0159 recall@thr=0.5: 0.8941 prec@thr=0.5: 0.9118 recall@top3: 0.9235 prec@top3: 0.7059 recall@top5: 0.9500 prec@top5: 0.4471 loss_action_cls: 0.0159 2022/12/05 09:21:40 - mmengine - INFO - Epoch(train) [7][ 640/4451] lr: 4.7183e-02 eta: 2:21:50 time: 0.4956 data_time: 0.0107 memory: 16785 grad_norm: 0.1112 loss: 0.0183 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.6811 recall@top3: 0.7750 prec@top3: 0.7000 recall@top5: 0.9611 prec@top5: 0.5467 loss_action_cls: 0.0183 2022/12/05 09:21:50 - mmengine - INFO - Epoch(train) [7][ 660/4451] lr: 4.7095e-02 eta: 2:21:40 time: 0.4959 data_time: 0.0108 memory: 16785 grad_norm: 0.1061 loss: 0.0168 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.7544 recall@top3: 0.8772 prec@top3: 0.6842 recall@top5: 0.9123 prec@top5: 0.4316 loss_action_cls: 0.0168 2022/12/05 09:22:00 - mmengine - INFO - Epoch(train) [7][ 680/4451] lr: 4.7006e-02 eta: 2:21:30 time: 0.4955 data_time: 0.0108 memory: 16785 grad_norm: 0.1137 loss: 0.0181 recall@thr=0.5: 0.8281 prec@thr=0.5: 0.8177 recall@top3: 0.8750 prec@top3: 0.6458 recall@top5: 0.9844 prec@top5: 0.4375 loss_action_cls: 0.0181 2022/12/05 09:22:10 - mmengine - INFO - Epoch(train) [7][ 700/4451] lr: 4.6918e-02 eta: 2:21:20 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1099 loss: 0.0168 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8077 recall@top3: 0.8782 prec@top3: 0.5769 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0168 2022/12/05 09:22:20 - mmengine - INFO - Epoch(train) [7][ 720/4451] lr: 4.6830e-02 eta: 2:21:11 time: 0.4959 data_time: 0.0111 memory: 16785 grad_norm: 0.1174 loss: 0.0171 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.7500 recall@top3: 0.8729 prec@top3: 0.7083 recall@top5: 0.9500 prec@top5: 0.4750 loss_action_cls: 0.0171 2022/12/05 09:22:30 - mmengine - INFO - Epoch(train) [7][ 740/4451] lr: 4.6742e-02 eta: 2:21:01 time: 0.4954 data_time: 0.0110 memory: 16785 grad_norm: 0.1135 loss: 0.0181 recall@thr=0.5: 0.6920 prec@thr=0.5: 0.7362 recall@top3: 0.6993 prec@top3: 0.6232 recall@top5: 0.8442 prec@top5: 0.4696 loss_action_cls: 0.0181 2022/12/05 09:22:40 - mmengine - INFO - Epoch(train) [7][ 760/4451] lr: 4.6654e-02 eta: 2:20:51 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1077 loss: 0.0166 recall@thr=0.5: 0.6654 prec@thr=0.5: 0.7244 recall@top3: 0.8628 prec@top3: 0.7821 recall@top5: 0.9808 prec@top5: 0.5462 loss_action_cls: 0.0166 2022/12/05 09:22:50 - mmengine - INFO - Epoch(train) [7][ 780/4451] lr: 4.6566e-02 eta: 2:20:41 time: 0.4963 data_time: 0.0107 memory: 16785 grad_norm: 0.1136 loss: 0.0167 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.7179 recall@top3: 0.7821 prec@top3: 0.6154 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0167 2022/12/05 09:23:00 - mmengine - INFO - Epoch(train) [7][ 800/4451] lr: 4.6478e-02 eta: 2:20:31 time: 0.4954 data_time: 0.0107 memory: 16785 grad_norm: 0.1112 loss: 0.0167 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7174 recall@top3: 0.8333 prec@top3: 0.6522 recall@top5: 0.9493 prec@top5: 0.4609 loss_action_cls: 0.0167 2022/12/05 09:23:10 - mmengine - INFO - Epoch(train) [7][ 820/4451] lr: 4.6390e-02 eta: 2:20:21 time: 0.4966 data_time: 0.0107 memory: 16785 grad_norm: 0.1110 loss: 0.0170 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8182 recall@top3: 0.8523 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0170 2022/12/05 09:23:20 - mmengine - INFO - Epoch(train) [7][ 840/4451] lr: 4.6302e-02 eta: 2:20:11 time: 0.4971 data_time: 0.0120 memory: 16785 grad_norm: 0.1142 loss: 0.0169 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8182 recall@top3: 0.8636 prec@top3: 0.6061 recall@top5: 0.8750 prec@top5: 0.3727 loss_action_cls: 0.0169 2022/12/05 09:23:30 - mmengine - INFO - Epoch(train) [7][ 860/4451] lr: 4.6214e-02 eta: 2:20:01 time: 0.4963 data_time: 0.0106 memory: 16785 grad_norm: 0.1042 loss: 0.0177 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6154 recall@top3: 0.8462 prec@top3: 0.4359 recall@top5: 0.8462 prec@top5: 0.2615 loss_action_cls: 0.0177 2022/12/05 09:23:39 - mmengine - INFO - Epoch(train) [7][ 880/4451] lr: 4.6126e-02 eta: 2:19:51 time: 0.4959 data_time: 0.0111 memory: 16785 grad_norm: 0.1103 loss: 0.0183 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6905 recall@top3: 0.9524 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.3524 loss_action_cls: 0.0183 2022/12/05 09:23:49 - mmengine - INFO - Epoch(train) [7][ 900/4451] lr: 4.6038e-02 eta: 2:19:41 time: 0.4973 data_time: 0.0117 memory: 16785 grad_norm: 0.1127 loss: 0.0168 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.9167 recall@top3: 0.8492 prec@top3: 0.7879 recall@top5: 0.9303 prec@top5: 0.5455 loss_action_cls: 0.0168 2022/12/05 09:23:59 - mmengine - INFO - Epoch(train) [7][ 920/4451] lr: 4.5950e-02 eta: 2:19:31 time: 0.4964 data_time: 0.0113 memory: 16785 grad_norm: 0.1154 loss: 0.0184 recall@thr=0.5: 0.5646 prec@thr=0.5: 0.5972 recall@top3: 0.6528 prec@top3: 0.5139 recall@top5: 0.8688 prec@top5: 0.4333 loss_action_cls: 0.0184 2022/12/05 09:24:09 - mmengine - INFO - Epoch(train) [7][ 940/4451] lr: 4.5862e-02 eta: 2:19:22 time: 0.4966 data_time: 0.0115 memory: 16785 grad_norm: 0.1103 loss: 0.0165 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.5833 recall@top3: 0.7167 prec@top3: 0.4667 recall@top5: 0.9083 prec@top5: 0.3600 loss_action_cls: 0.0165 2022/12/05 09:24:19 - mmengine - INFO - Epoch(train) [7][ 960/4451] lr: 4.5775e-02 eta: 2:19:12 time: 0.4963 data_time: 0.0107 memory: 16785 grad_norm: 0.1205 loss: 0.0173 recall@thr=0.5: 0.9621 prec@thr=0.5: 0.9167 recall@top3: 0.9394 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0173 2022/12/05 09:24:29 - mmengine - INFO - Epoch(train) [7][ 980/4451] lr: 4.5687e-02 eta: 2:19:02 time: 0.4954 data_time: 0.0109 memory: 16785 grad_norm: 0.1119 loss: 0.0178 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6296 recall@top3: 0.8889 prec@top3: 0.5185 recall@top5: 0.8889 prec@top5: 0.3111 loss_action_cls: 0.0178 2022/12/05 09:24:39 - mmengine - INFO - Epoch(train) [7][1000/4451] lr: 4.5599e-02 eta: 2:18:52 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1034 loss: 0.0157 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7037 recall@top3: 0.8889 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0157 2022/12/05 09:24:49 - mmengine - INFO - Epoch(train) [7][1020/4451] lr: 4.5511e-02 eta: 2:18:42 time: 0.4971 data_time: 0.0108 memory: 16785 grad_norm: 0.1142 loss: 0.0162 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8333 recall@top3: 0.8000 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0162 2022/12/05 09:24:59 - mmengine - INFO - Epoch(train) [7][1040/4451] lr: 4.5423e-02 eta: 2:18:32 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1165 loss: 0.0171 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.7667 recall@top3: 0.8542 prec@top3: 0.6833 recall@top5: 0.9625 prec@top5: 0.4800 loss_action_cls: 0.0171 2022/12/05 09:25:09 - mmengine - INFO - Epoch(train) [7][1060/4451] lr: 4.5335e-02 eta: 2:18:22 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1133 loss: 0.0181 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8860 recall@top3: 0.8509 prec@top3: 0.7544 recall@top5: 0.9123 prec@top5: 0.4947 loss_action_cls: 0.0181 2022/12/05 09:25:19 - mmengine - INFO - Epoch(train) [7][1080/4451] lr: 4.5247e-02 eta: 2:18:12 time: 0.4959 data_time: 0.0111 memory: 16785 grad_norm: 0.1144 loss: 0.0173 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5720 recall@top3: 0.7614 prec@top3: 0.5152 recall@top5: 0.8788 prec@top5: 0.3727 loss_action_cls: 0.0173 2022/12/05 09:25:29 - mmengine - INFO - Epoch(train) [7][1100/4451] lr: 4.5160e-02 eta: 2:18:02 time: 0.4960 data_time: 0.0111 memory: 16785 grad_norm: 0.1095 loss: 0.0156 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8299 recall@top3: 0.8819 prec@top3: 0.6806 recall@top5: 0.9722 prec@top5: 0.4583 loss_action_cls: 0.0156 2022/12/05 09:25:39 - mmengine - INFO - Epoch(train) [7][1120/4451] lr: 4.5072e-02 eta: 2:17:52 time: 0.4972 data_time: 0.0112 memory: 16785 grad_norm: 0.1127 loss: 0.0172 recall@thr=0.5: 0.9479 prec@thr=0.5: 0.8646 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0172 2022/12/05 09:25:49 - mmengine - INFO - Epoch(train) [7][1140/4451] lr: 4.4984e-02 eta: 2:17:42 time: 0.4959 data_time: 0.0115 memory: 16785 grad_norm: 0.1138 loss: 0.0176 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.6140 recall@top3: 0.8158 prec@top3: 0.5439 recall@top5: 0.8947 prec@top5: 0.3684 loss_action_cls: 0.0176 2022/12/05 09:25:59 - mmengine - INFO - Epoch(train) [7][1160/4451] lr: 4.4896e-02 eta: 2:17:32 time: 0.4970 data_time: 0.0113 memory: 16785 grad_norm: 0.1121 loss: 0.0177 recall@thr=0.5: 0.6069 prec@thr=0.5: 0.7069 recall@top3: 0.8368 prec@top3: 0.5057 recall@top5: 0.9299 prec@top5: 0.3379 loss_action_cls: 0.0177 2022/12/05 09:26:08 - mmengine - INFO - Epoch(train) [7][1180/4451] lr: 4.4808e-02 eta: 2:17:23 time: 0.4960 data_time: 0.0112 memory: 16785 grad_norm: 0.1141 loss: 0.0156 recall@thr=0.5: 0.6399 prec@thr=0.5: 0.8036 recall@top3: 0.7923 prec@top3: 0.5952 recall@top5: 0.9119 prec@top5: 0.4571 loss_action_cls: 0.0156 2022/12/05 09:26:18 - mmengine - INFO - Epoch(train) [7][1200/4451] lr: 4.4721e-02 eta: 2:17:13 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1104 loss: 0.0156 recall@thr=0.5: 0.4821 prec@thr=0.5: 0.6548 recall@top3: 0.6369 prec@top3: 0.5714 recall@top5: 0.9286 prec@top5: 0.4429 loss_action_cls: 0.0156 2022/12/05 09:26:28 - mmengine - INFO - Epoch(train) [7][1220/4451] lr: 4.4633e-02 eta: 2:17:03 time: 0.4967 data_time: 0.0107 memory: 16785 grad_norm: 0.1158 loss: 0.0160 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8750 recall@top3: 0.8438 prec@top3: 0.4375 recall@top5: 1.0000 prec@top5: 0.3125 loss_action_cls: 0.0160 2022/12/05 09:26:38 - mmengine - INFO - Epoch(train) [7][1240/4451] lr: 4.4545e-02 eta: 2:16:53 time: 0.4962 data_time: 0.0109 memory: 16785 grad_norm: 0.1092 loss: 0.0177 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.8139 recall@top3: 0.8089 prec@top3: 0.6889 recall@top5: 0.9683 prec@top5: 0.5067 loss_action_cls: 0.0177 2022/12/05 09:26:48 - mmengine - INFO - Epoch(train) [7][1260/4451] lr: 4.4458e-02 eta: 2:16:43 time: 0.4964 data_time: 0.0107 memory: 16785 grad_norm: 0.1160 loss: 0.0191 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8442 recall@top3: 0.8623 prec@top3: 0.6957 recall@top5: 0.9348 prec@top5: 0.4609 loss_action_cls: 0.0191 2022/12/05 09:26:58 - mmengine - INFO - Epoch(train) [7][1280/4451] lr: 4.4370e-02 eta: 2:16:33 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1078 loss: 0.0170 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.7917 recall@top3: 0.8403 prec@top3: 0.7500 recall@top5: 0.9236 prec@top5: 0.4917 loss_action_cls: 0.0170 2022/12/05 09:27:05 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 09:27:08 - mmengine - INFO - Epoch(train) [7][1300/4451] lr: 4.4282e-02 eta: 2:16:23 time: 0.4963 data_time: 0.0106 memory: 16785 grad_norm: 0.1143 loss: 0.0177 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.7417 recall@top3: 0.8833 prec@top3: 0.6000 recall@top5: 0.9750 prec@top5: 0.4100 loss_action_cls: 0.0177 2022/12/05 09:27:18 - mmengine - INFO - Epoch(train) [7][1320/4451] lr: 4.4195e-02 eta: 2:16:13 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1109 loss: 0.0172 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.7083 recall@top3: 0.8021 prec@top3: 0.5833 recall@top5: 0.9479 prec@top5: 0.4375 loss_action_cls: 0.0172 2022/12/05 09:27:28 - mmengine - INFO - Epoch(train) [7][1340/4451] lr: 4.4107e-02 eta: 2:16:03 time: 0.4965 data_time: 0.0108 memory: 16785 grad_norm: 0.1139 loss: 0.0172 recall@thr=0.5: 0.6933 prec@thr=0.5: 0.8400 recall@top3: 0.7933 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4480 loss_action_cls: 0.0172 2022/12/05 09:27:38 - mmengine - INFO - Epoch(train) [7][1360/4451] lr: 4.4019e-02 eta: 2:15:53 time: 0.4967 data_time: 0.0104 memory: 16785 grad_norm: 0.1090 loss: 0.0155 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7632 recall@top3: 0.8816 prec@top3: 0.7193 recall@top5: 0.9342 prec@top5: 0.4632 loss_action_cls: 0.0155 2022/12/05 09:27:48 - mmengine - INFO - Epoch(train) [7][1380/4451] lr: 4.3932e-02 eta: 2:15:43 time: 0.4955 data_time: 0.0110 memory: 16785 grad_norm: 0.1121 loss: 0.0176 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7014 recall@top3: 0.7639 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4417 loss_action_cls: 0.0176 2022/12/05 09:27:58 - mmengine - INFO - Epoch(train) [7][1400/4451] lr: 4.3844e-02 eta: 2:15:34 time: 0.4973 data_time: 0.0112 memory: 16785 grad_norm: 0.1113 loss: 0.0177 recall@thr=0.5: 0.7458 prec@thr=0.5: 0.7708 recall@top3: 0.7667 prec@top3: 0.5625 recall@top5: 0.9250 prec@top5: 0.4125 loss_action_cls: 0.0177 2022/12/05 09:28:08 - mmengine - INFO - Epoch(train) [7][1420/4451] lr: 4.3757e-02 eta: 2:15:24 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1137 loss: 0.0176 recall@thr=0.5: 0.6783 prec@thr=0.5: 0.7464 recall@top3: 0.8522 prec@top3: 0.7246 recall@top5: 0.9623 prec@top5: 0.5217 loss_action_cls: 0.0176 2022/12/05 09:28:18 - mmengine - INFO - Epoch(train) [7][1440/4451] lr: 4.3669e-02 eta: 2:15:14 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1142 loss: 0.0168 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8167 recall@top3: 0.8667 prec@top3: 0.6167 recall@top5: 0.9833 prec@top5: 0.4300 loss_action_cls: 0.0168 2022/12/05 09:28:27 - mmengine - INFO - Epoch(train) [7][1460/4451] lr: 4.3582e-02 eta: 2:15:04 time: 0.4960 data_time: 0.0108 memory: 16785 grad_norm: 0.1136 loss: 0.0165 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.7462 recall@top3: 0.7500 prec@top3: 0.5152 recall@top5: 0.9394 prec@top5: 0.4182 loss_action_cls: 0.0165 2022/12/05 09:28:37 - mmengine - INFO - Epoch(train) [7][1480/4451] lr: 4.3494e-02 eta: 2:14:54 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1139 loss: 0.0147 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8158 recall@top3: 0.7982 prec@top3: 0.6140 recall@top5: 0.8947 prec@top5: 0.4316 loss_action_cls: 0.0147 2022/12/05 09:28:47 - mmengine - INFO - Epoch(train) [7][1500/4451] lr: 4.3407e-02 eta: 2:14:44 time: 0.4959 data_time: 0.0110 memory: 16785 grad_norm: 0.1151 loss: 0.0156 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7647 recall@top3: 0.8235 prec@top3: 0.6078 recall@top5: 0.9118 prec@top5: 0.4118 loss_action_cls: 0.0156 2022/12/05 09:28:57 - mmengine - INFO - Epoch(train) [7][1520/4451] lr: 4.3319e-02 eta: 2:14:34 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1116 loss: 0.0177 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7593 recall@top3: 0.7130 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.4111 loss_action_cls: 0.0177 2022/12/05 09:29:07 - mmengine - INFO - Epoch(train) [7][1540/4451] lr: 4.3232e-02 eta: 2:14:24 time: 0.4976 data_time: 0.0129 memory: 16785 grad_norm: 0.1145 loss: 0.0159 recall@thr=0.5: 0.7596 prec@thr=0.5: 0.7885 recall@top3: 0.8878 prec@top3: 0.7051 recall@top5: 0.9519 prec@top5: 0.4615 loss_action_cls: 0.0159 2022/12/05 09:29:17 - mmengine - INFO - Epoch(train) [7][1560/4451] lr: 4.3144e-02 eta: 2:14:14 time: 0.4956 data_time: 0.0111 memory: 16785 grad_norm: 0.1131 loss: 0.0175 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7982 recall@top3: 0.7895 prec@top3: 0.6842 recall@top5: 0.8509 prec@top5: 0.4526 loss_action_cls: 0.0175 2022/12/05 09:29:27 - mmengine - INFO - Epoch(train) [7][1580/4451] lr: 4.3057e-02 eta: 2:14:04 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1088 loss: 0.0162 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8571 recall@top3: 0.8571 prec@top3: 0.5476 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0162 2022/12/05 09:29:37 - mmengine - INFO - Epoch(train) [7][1600/4451] lr: 4.2970e-02 eta: 2:13:54 time: 0.4957 data_time: 0.0109 memory: 16785 grad_norm: 0.1181 loss: 0.0187 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6759 recall@top3: 0.7593 prec@top3: 0.6481 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0187 2022/12/05 09:29:47 - mmengine - INFO - Epoch(train) [7][1620/4451] lr: 4.2882e-02 eta: 2:13:45 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1148 loss: 0.0182 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7444 recall@top3: 0.6778 prec@top3: 0.6222 recall@top5: 0.8278 prec@top5: 0.4933 loss_action_cls: 0.0182 2022/12/05 09:29:57 - mmengine - INFO - Epoch(train) [7][1640/4451] lr: 4.2795e-02 eta: 2:13:35 time: 0.4971 data_time: 0.0110 memory: 16785 grad_norm: 0.1145 loss: 0.0172 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8016 recall@top3: 0.7540 prec@top3: 0.5556 recall@top5: 0.9127 prec@top5: 0.4095 loss_action_cls: 0.0172 2022/12/05 09:30:07 - mmengine - INFO - Epoch(train) [7][1660/4451] lr: 4.2708e-02 eta: 2:13:25 time: 0.4952 data_time: 0.0109 memory: 16785 grad_norm: 0.1141 loss: 0.0194 recall@thr=0.5: 0.7095 prec@thr=0.5: 0.8690 recall@top3: 0.7357 prec@top3: 0.7460 recall@top5: 0.9333 prec@top5: 0.5714 loss_action_cls: 0.0194 2022/12/05 09:30:17 - mmengine - INFO - Epoch(train) [7][1680/4451] lr: 4.2620e-02 eta: 2:13:15 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1077 loss: 0.0168 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.7976 recall@top3: 0.8452 prec@top3: 0.5476 recall@top5: 0.9286 prec@top5: 0.3714 loss_action_cls: 0.0168 2022/12/05 09:30:27 - mmengine - INFO - Epoch(train) [7][1700/4451] lr: 4.2533e-02 eta: 2:13:05 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1142 loss: 0.0158 recall@thr=0.5: 0.4683 prec@thr=0.5: 0.5750 recall@top3: 0.6350 prec@top3: 0.5000 recall@top5: 0.8400 prec@top5: 0.4100 loss_action_cls: 0.0158 2022/12/05 09:30:37 - mmengine - INFO - Epoch(train) [7][1720/4451] lr: 4.2446e-02 eta: 2:12:55 time: 0.4953 data_time: 0.0111 memory: 16785 grad_norm: 0.1092 loss: 0.0167 recall@thr=0.5: 0.6627 prec@thr=0.5: 0.7619 recall@top3: 0.8452 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.5048 loss_action_cls: 0.0167 2022/12/05 09:30:46 - mmengine - INFO - Epoch(train) [7][1740/4451] lr: 4.2359e-02 eta: 2:12:45 time: 0.4960 data_time: 0.0115 memory: 16785 grad_norm: 0.1122 loss: 0.0165 recall@thr=0.5: 0.5217 prec@thr=0.5: 0.5290 recall@top3: 0.7464 prec@top3: 0.5507 recall@top5: 0.8696 prec@top5: 0.4000 loss_action_cls: 0.0165 2022/12/05 09:30:56 - mmengine - INFO - Epoch(train) [7][1760/4451] lr: 4.2272e-02 eta: 2:12:35 time: 0.4975 data_time: 0.0123 memory: 16785 grad_norm: 0.1141 loss: 0.0157 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.8611 recall@top3: 1.0000 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.3889 loss_action_cls: 0.0157 2022/12/05 09:31:06 - mmengine - INFO - Epoch(train) [7][1780/4451] lr: 4.2184e-02 eta: 2:12:25 time: 0.4969 data_time: 0.0118 memory: 16785 grad_norm: 0.1159 loss: 0.0170 recall@thr=0.5: 0.6643 prec@thr=0.5: 0.7857 recall@top3: 0.7437 prec@top3: 0.6349 recall@top5: 0.9254 prec@top5: 0.4667 loss_action_cls: 0.0170 2022/12/05 09:31:16 - mmengine - INFO - Epoch(train) [7][1800/4451] lr: 4.2097e-02 eta: 2:12:15 time: 0.4955 data_time: 0.0104 memory: 16785 grad_norm: 0.1132 loss: 0.0178 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.7143 recall@top3: 0.7976 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.4095 loss_action_cls: 0.0178 2022/12/05 09:31:26 - mmengine - INFO - Epoch(train) [7][1820/4451] lr: 4.2010e-02 eta: 2:12:05 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1107 loss: 0.0160 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7917 recall@top3: 0.8646 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4375 loss_action_cls: 0.0160 2022/12/05 09:31:36 - mmengine - INFO - Epoch(train) [7][1840/4451] lr: 4.1923e-02 eta: 2:11:56 time: 0.4967 data_time: 0.0112 memory: 16785 grad_norm: 0.1130 loss: 0.0172 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.7932 recall@top3: 0.8025 prec@top3: 0.7037 recall@top5: 0.9599 prec@top5: 0.5111 loss_action_cls: 0.0172 2022/12/05 09:31:46 - mmengine - INFO - Epoch(train) [7][1860/4451] lr: 4.1836e-02 eta: 2:11:46 time: 0.4960 data_time: 0.0113 memory: 16785 grad_norm: 0.1122 loss: 0.0164 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.7000 recall@top3: 0.8417 prec@top3: 0.5000 recall@top5: 0.8833 prec@top5: 0.3200 loss_action_cls: 0.0164 2022/12/05 09:31:56 - mmengine - INFO - Epoch(train) [7][1880/4451] lr: 4.1749e-02 eta: 2:11:36 time: 0.4961 data_time: 0.0113 memory: 16785 grad_norm: 0.1113 loss: 0.0175 recall@thr=0.5: 0.5870 prec@thr=0.5: 0.6304 recall@top3: 0.7464 prec@top3: 0.6522 recall@top5: 0.9384 prec@top5: 0.5130 loss_action_cls: 0.0175 2022/12/05 09:32:06 - mmengine - INFO - Epoch(train) [7][1900/4451] lr: 4.1662e-02 eta: 2:11:26 time: 0.4964 data_time: 0.0104 memory: 16785 grad_norm: 0.1106 loss: 0.0162 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.8030 recall@top3: 0.7818 prec@top3: 0.8182 recall@top5: 0.9091 prec@top5: 0.5909 loss_action_cls: 0.0162 2022/12/05 09:32:16 - mmengine - INFO - Epoch(train) [7][1920/4451] lr: 4.1575e-02 eta: 2:11:16 time: 0.4957 data_time: 0.0115 memory: 16785 grad_norm: 0.1152 loss: 0.0156 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8772 recall@top3: 0.8860 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.4316 loss_action_cls: 0.0156 2022/12/05 09:32:26 - mmengine - INFO - Epoch(train) [7][1940/4451] lr: 4.1488e-02 eta: 2:11:06 time: 0.4958 data_time: 0.0112 memory: 16785 grad_norm: 0.1163 loss: 0.0183 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8056 recall@top3: 0.8194 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0183 2022/12/05 09:32:36 - mmengine - INFO - Epoch(train) [7][1960/4451] lr: 4.1401e-02 eta: 2:10:56 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1160 loss: 0.0164 recall@thr=0.5: 0.6864 prec@thr=0.5: 0.8409 recall@top3: 0.8121 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0164 2022/12/05 09:32:46 - mmengine - INFO - Epoch(train) [7][1980/4451] lr: 4.1314e-02 eta: 2:10:46 time: 0.4971 data_time: 0.0117 memory: 16785 grad_norm: 0.1131 loss: 0.0161 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.7159 recall@top3: 0.8485 prec@top3: 0.6667 recall@top5: 0.9394 prec@top5: 0.4545 loss_action_cls: 0.0161 2022/12/05 09:32:56 - mmengine - INFO - Epoch(train) [7][2000/4451] lr: 4.1227e-02 eta: 2:10:36 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1128 loss: 0.0180 recall@thr=0.5: 0.3933 prec@thr=0.5: 0.5600 recall@top3: 0.8400 prec@top3: 0.5467 recall@top5: 0.9867 prec@top5: 0.3920 loss_action_cls: 0.0180 2022/12/05 09:33:05 - mmengine - INFO - Epoch(train) [7][2020/4451] lr: 4.1140e-02 eta: 2:10:26 time: 0.4958 data_time: 0.0109 memory: 16785 grad_norm: 0.1133 loss: 0.0185 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.7604 recall@top3: 0.8281 prec@top3: 0.6458 recall@top5: 0.9115 prec@top5: 0.4437 loss_action_cls: 0.0185 2022/12/05 09:33:15 - mmengine - INFO - Epoch(train) [7][2040/4451] lr: 4.1054e-02 eta: 2:10:16 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1098 loss: 0.0176 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.7935 recall@top3: 0.8768 prec@top3: 0.7391 recall@top5: 0.9855 prec@top5: 0.5043 loss_action_cls: 0.0176 2022/12/05 09:33:25 - mmengine - INFO - Epoch(train) [7][2060/4451] lr: 4.0967e-02 eta: 2:10:06 time: 0.4960 data_time: 0.0110 memory: 16785 grad_norm: 0.1117 loss: 0.0167 recall@thr=0.5: 0.7040 prec@thr=0.5: 0.8282 recall@top3: 0.9368 prec@top3: 0.7701 recall@top5: 0.9799 prec@top5: 0.4966 loss_action_cls: 0.0167 2022/12/05 09:33:35 - mmengine - INFO - Epoch(train) [7][2080/4451] lr: 4.0880e-02 eta: 2:09:57 time: 0.4968 data_time: 0.0108 memory: 16785 grad_norm: 0.1089 loss: 0.0173 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.8846 recall@top3: 0.8205 prec@top3: 0.5641 recall@top5: 0.9038 prec@top5: 0.3923 loss_action_cls: 0.0173 2022/12/05 09:33:45 - mmengine - INFO - Epoch(train) [7][2100/4451] lr: 4.0793e-02 eta: 2:09:47 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1130 loss: 0.0168 recall@thr=0.5: 0.6268 prec@thr=0.5: 0.7572 recall@top3: 0.8261 prec@top3: 0.6232 recall@top5: 0.9710 prec@top5: 0.4435 loss_action_cls: 0.0168 2022/12/05 09:33:55 - mmengine - INFO - Epoch(train) [7][2120/4451] lr: 4.0707e-02 eta: 2:09:37 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1126 loss: 0.0174 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7500 recall@top3: 1.0000 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.3571 loss_action_cls: 0.0174 2022/12/05 09:34:05 - mmengine - INFO - Epoch(train) [7][2140/4451] lr: 4.0620e-02 eta: 2:09:27 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1104 loss: 0.0162 recall@thr=0.5: 0.7765 prec@thr=0.5: 0.7273 recall@top3: 0.7386 prec@top3: 0.6667 recall@top5: 0.9356 prec@top5: 0.5091 loss_action_cls: 0.0162 2022/12/05 09:34:15 - mmengine - INFO - Epoch(train) [7][2160/4451] lr: 4.0533e-02 eta: 2:09:17 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1125 loss: 0.0166 recall@thr=0.5: 0.8042 prec@thr=0.5: 0.7708 recall@top3: 0.8667 prec@top3: 0.7000 recall@top5: 0.9083 prec@top5: 0.4500 loss_action_cls: 0.0166 2022/12/05 09:34:25 - mmengine - INFO - Epoch(train) [7][2180/4451] lr: 4.0447e-02 eta: 2:09:07 time: 0.4966 data_time: 0.0108 memory: 16785 grad_norm: 0.1164 loss: 0.0169 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.7292 recall@top3: 0.8528 prec@top3: 0.6389 recall@top5: 0.9528 prec@top5: 0.4250 loss_action_cls: 0.0169 2022/12/05 09:34:35 - mmengine - INFO - Epoch(train) [7][2200/4451] lr: 4.0360e-02 eta: 2:08:57 time: 0.4959 data_time: 0.0111 memory: 16785 grad_norm: 0.1134 loss: 0.0181 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.8667 recall@top3: 0.9111 prec@top3: 0.7556 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0181 2022/12/05 09:34:45 - mmengine - INFO - Epoch(train) [7][2220/4451] lr: 4.0274e-02 eta: 2:08:47 time: 0.4975 data_time: 0.0109 memory: 16785 grad_norm: 0.1102 loss: 0.0173 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9405 recall@top3: 0.7976 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4714 loss_action_cls: 0.0173 2022/12/05 09:34:55 - mmengine - INFO - Epoch(train) [7][2240/4451] lr: 4.0187e-02 eta: 2:08:37 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1116 loss: 0.0172 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7847 recall@top3: 0.7590 prec@top3: 0.6528 recall@top5: 0.8861 prec@top5: 0.4750 loss_action_cls: 0.0172 2022/12/05 09:35:05 - mmengine - INFO - Epoch(train) [7][2260/4451] lr: 4.0101e-02 eta: 2:08:27 time: 0.4963 data_time: 0.0108 memory: 16785 grad_norm: 0.1071 loss: 0.0187 recall@thr=0.5: 0.7421 prec@thr=0.5: 0.7063 recall@top3: 0.8611 prec@top3: 0.5079 recall@top5: 0.8968 prec@top5: 0.3238 loss_action_cls: 0.0187 2022/12/05 09:35:15 - mmengine - INFO - Epoch(train) [7][2280/4451] lr: 4.0014e-02 eta: 2:08:17 time: 0.4960 data_time: 0.0113 memory: 16785 grad_norm: 0.1149 loss: 0.0151 recall@thr=0.5: 0.7158 prec@thr=0.5: 0.8333 recall@top3: 0.7289 prec@top3: 0.6140 recall@top5: 0.9544 prec@top5: 0.4842 loss_action_cls: 0.0151 2022/12/05 09:35:21 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 09:35:24 - mmengine - INFO - Epoch(train) [7][2300/4451] lr: 3.9928e-02 eta: 2:08:08 time: 0.4963 data_time: 0.0106 memory: 16785 grad_norm: 0.1151 loss: 0.0180 recall@thr=0.5: 0.5118 prec@thr=0.5: 0.7157 recall@top3: 0.6824 prec@top3: 0.5490 recall@top5: 0.8510 prec@top5: 0.3882 loss_action_cls: 0.0180 2022/12/05 09:35:34 - mmengine - INFO - Epoch(train) [7][2320/4451] lr: 3.9841e-02 eta: 2:07:58 time: 0.4966 data_time: 0.0112 memory: 16785 grad_norm: 0.1130 loss: 0.0173 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8333 recall@top3: 0.9056 prec@top3: 0.6889 recall@top5: 0.9778 prec@top5: 0.4533 loss_action_cls: 0.0173 2022/12/05 09:35:44 - mmengine - INFO - Epoch(train) [7][2340/4451] lr: 3.9755e-02 eta: 2:07:48 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1148 loss: 0.0166 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5185 recall@top3: 0.7778 prec@top3: 0.5370 recall@top5: 0.9722 prec@top5: 0.4111 loss_action_cls: 0.0166 2022/12/05 09:35:54 - mmengine - INFO - Epoch(train) [7][2360/4451] lr: 3.9669e-02 eta: 2:07:38 time: 0.4966 data_time: 0.0112 memory: 16785 grad_norm: 0.1085 loss: 0.0152 recall@thr=0.5: 0.8130 prec@thr=0.5: 0.8102 recall@top3: 0.8019 prec@top3: 0.6481 recall@top5: 0.9611 prec@top5: 0.4778 loss_action_cls: 0.0152 2022/12/05 09:36:04 - mmengine - INFO - Epoch(train) [7][2380/4451] lr: 3.9582e-02 eta: 2:07:28 time: 0.4964 data_time: 0.0116 memory: 16785 grad_norm: 0.1190 loss: 0.0171 recall@thr=0.5: 0.7725 prec@thr=0.5: 0.7971 recall@top3: 0.8159 prec@top3: 0.7391 recall@top5: 0.9601 prec@top5: 0.5391 loss_action_cls: 0.0171 2022/12/05 09:36:14 - mmengine - INFO - Epoch(train) [7][2400/4451] lr: 3.9496e-02 eta: 2:07:18 time: 0.4967 data_time: 0.0109 memory: 16785 grad_norm: 0.1145 loss: 0.0171 recall@thr=0.5: 0.5764 prec@thr=0.5: 0.6250 recall@top3: 0.6944 prec@top3: 0.3056 recall@top5: 0.8472 prec@top5: 0.2583 loss_action_cls: 0.0171 2022/12/05 09:36:24 - mmengine - INFO - Epoch(train) [7][2420/4451] lr: 3.9410e-02 eta: 2:07:08 time: 0.4967 data_time: 0.0112 memory: 16785 grad_norm: 0.1108 loss: 0.0189 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.7130 recall@top3: 0.8148 prec@top3: 0.6667 recall@top5: 0.9259 prec@top5: 0.4556 loss_action_cls: 0.0189 2022/12/05 09:36:34 - mmengine - INFO - Epoch(train) [7][2440/4451] lr: 3.9324e-02 eta: 2:06:58 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1133 loss: 0.0166 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.8507 recall@top3: 0.8194 prec@top3: 0.8194 recall@top5: 0.9479 prec@top5: 0.5917 loss_action_cls: 0.0166 2022/12/05 09:36:44 - mmengine - INFO - Epoch(train) [7][2460/4451] lr: 3.9237e-02 eta: 2:06:48 time: 0.4962 data_time: 0.0113 memory: 16785 grad_norm: 0.1106 loss: 0.0179 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8125 recall@top3: 0.8750 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0179 2022/12/05 09:36:54 - mmengine - INFO - Epoch(train) [7][2480/4451] lr: 3.9151e-02 eta: 2:06:38 time: 0.4962 data_time: 0.0113 memory: 16785 grad_norm: 0.1158 loss: 0.0180 recall@thr=0.5: 0.6614 prec@thr=0.5: 0.6711 recall@top3: 0.8561 prec@top3: 0.5789 recall@top5: 0.9895 prec@top5: 0.3895 loss_action_cls: 0.0180 2022/12/05 09:37:04 - mmengine - INFO - Epoch(train) [7][2500/4451] lr: 3.9065e-02 eta: 2:06:28 time: 0.4976 data_time: 0.0112 memory: 16785 grad_norm: 0.1153 loss: 0.0195 recall@thr=0.5: 0.6012 prec@thr=0.5: 0.7143 recall@top3: 0.8274 prec@top3: 0.5714 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0195 2022/12/05 09:37:14 - mmengine - INFO - Epoch(train) [7][2520/4451] lr: 3.8979e-02 eta: 2:06:19 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1130 loss: 0.0174 recall@thr=0.5: 0.5160 prec@thr=0.5: 0.5769 recall@top3: 0.7019 prec@top3: 0.5641 recall@top5: 0.8429 prec@top5: 0.4154 loss_action_cls: 0.0174 2022/12/05 09:37:24 - mmengine - INFO - Epoch(train) [7][2540/4451] lr: 3.8893e-02 eta: 2:06:09 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1130 loss: 0.0163 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8177 recall@top3: 0.7500 prec@top3: 0.5625 recall@top5: 0.8906 prec@top5: 0.4375 loss_action_cls: 0.0163 2022/12/05 09:37:34 - mmengine - INFO - Epoch(train) [7][2560/4451] lr: 3.8807e-02 eta: 2:05:59 time: 0.4976 data_time: 0.0113 memory: 16785 grad_norm: 0.1123 loss: 0.0190 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.8158 recall@top3: 0.8246 prec@top3: 0.8070 recall@top5: 0.9825 prec@top5: 0.5789 loss_action_cls: 0.0190 2022/12/05 09:37:44 - mmengine - INFO - Epoch(train) [7][2580/4451] lr: 3.8721e-02 eta: 2:05:49 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1116 loss: 0.0161 recall@thr=0.5: 0.9383 prec@thr=0.5: 0.8642 recall@top3: 0.9691 prec@top3: 0.7160 recall@top5: 1.0000 prec@top5: 0.4519 loss_action_cls: 0.0161 2022/12/05 09:37:53 - mmengine - INFO - Epoch(train) [7][2600/4451] lr: 3.8635e-02 eta: 2:05:39 time: 0.4969 data_time: 0.0114 memory: 16785 grad_norm: 0.1158 loss: 0.0180 recall@thr=0.5: 0.7926 prec@thr=0.5: 0.7778 recall@top3: 0.8148 prec@top3: 0.6667 recall@top5: 0.9593 prec@top5: 0.4778 loss_action_cls: 0.0180 2022/12/05 09:38:03 - mmengine - INFO - Epoch(train) [7][2620/4451] lr: 3.8549e-02 eta: 2:05:29 time: 0.4958 data_time: 0.0114 memory: 16785 grad_norm: 0.1192 loss: 0.0190 recall@thr=0.5: 0.7267 prec@thr=0.5: 0.6667 recall@top3: 0.7350 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.5000 loss_action_cls: 0.0190 2022/12/05 09:38:13 - mmengine - INFO - Epoch(train) [7][2640/4451] lr: 3.8463e-02 eta: 2:05:19 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1063 loss: 0.0160 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6173 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9506 prec@top5: 0.3852 loss_action_cls: 0.0160 2022/12/05 09:38:23 - mmengine - INFO - Epoch(train) [7][2660/4451] lr: 3.8377e-02 eta: 2:05:09 time: 0.4966 data_time: 0.0108 memory: 16785 grad_norm: 0.1095 loss: 0.0168 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.8100 recall@top3: 0.7467 prec@top3: 0.7067 recall@top5: 0.9733 prec@top5: 0.5760 loss_action_cls: 0.0168 2022/12/05 09:38:33 - mmengine - INFO - Epoch(train) [7][2680/4451] lr: 3.8292e-02 eta: 2:04:59 time: 0.4974 data_time: 0.0110 memory: 16785 grad_norm: 0.1173 loss: 0.0173 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.7051 recall@top3: 0.8910 prec@top3: 0.6154 recall@top5: 0.9615 prec@top5: 0.4154 loss_action_cls: 0.0173 2022/12/05 09:38:43 - mmengine - INFO - Epoch(train) [7][2700/4451] lr: 3.8206e-02 eta: 2:04:49 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1150 loss: 0.0169 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6591 recall@top3: 0.7652 prec@top3: 0.5909 recall@top5: 0.9886 prec@top5: 0.4636 loss_action_cls: 0.0169 2022/12/05 09:38:53 - mmengine - INFO - Epoch(train) [7][2720/4451] lr: 3.8120e-02 eta: 2:04:39 time: 0.4976 data_time: 0.0117 memory: 16785 grad_norm: 0.1118 loss: 0.0177 recall@thr=0.5: 0.7567 prec@thr=0.5: 0.8583 recall@top3: 0.7717 prec@top3: 0.6833 recall@top5: 0.9233 prec@top5: 0.4900 loss_action_cls: 0.0177 2022/12/05 09:39:03 - mmengine - INFO - Epoch(train) [7][2740/4451] lr: 3.8035e-02 eta: 2:04:30 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1141 loss: 0.0175 recall@thr=0.5: 0.8073 prec@thr=0.5: 0.8333 recall@top3: 0.7656 prec@top3: 0.7917 recall@top5: 0.9323 prec@top5: 0.5875 loss_action_cls: 0.0175 2022/12/05 09:39:13 - mmengine - INFO - Epoch(train) [7][2760/4451] lr: 3.7949e-02 eta: 2:04:20 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1173 loss: 0.0164 recall@thr=0.5: 0.4821 prec@thr=0.5: 0.5595 recall@top3: 0.8929 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0164 2022/12/05 09:39:23 - mmengine - INFO - Epoch(train) [7][2780/4451] lr: 3.7863e-02 eta: 2:04:10 time: 0.4970 data_time: 0.0108 memory: 16785 grad_norm: 0.1133 loss: 0.0174 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.7549 recall@top3: 0.7549 prec@top3: 0.7059 recall@top5: 0.9510 prec@top5: 0.5412 loss_action_cls: 0.0174 2022/12/05 09:39:33 - mmengine - INFO - Epoch(train) [7][2800/4451] lr: 3.7778e-02 eta: 2:04:00 time: 0.4975 data_time: 0.0110 memory: 16785 grad_norm: 0.1151 loss: 0.0176 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8500 recall@top3: 0.9417 prec@top3: 0.6167 recall@top5: 1.0000 prec@top5: 0.4100 loss_action_cls: 0.0176 2022/12/05 09:39:43 - mmengine - INFO - Epoch(train) [7][2820/4451] lr: 3.7692e-02 eta: 2:03:50 time: 0.4964 data_time: 0.0109 memory: 16785 grad_norm: 0.1137 loss: 0.0162 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7917 recall@top3: 0.9167 prec@top3: 0.8000 recall@top5: 0.9750 prec@top5: 0.5100 loss_action_cls: 0.0162 2022/12/05 09:39:53 - mmengine - INFO - Epoch(train) [7][2840/4451] lr: 3.7607e-02 eta: 2:03:40 time: 0.4959 data_time: 0.0111 memory: 16785 grad_norm: 0.1150 loss: 0.0179 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8667 recall@top3: 0.8000 prec@top3: 0.6222 recall@top5: 0.9000 prec@top5: 0.4267 loss_action_cls: 0.0179 2022/12/05 09:40:03 - mmengine - INFO - Epoch(train) [7][2860/4451] lr: 3.7521e-02 eta: 2:03:30 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1123 loss: 0.0166 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7778 recall@top3: 0.7986 prec@top3: 0.7222 recall@top5: 0.9132 prec@top5: 0.4917 loss_action_cls: 0.0166 2022/12/05 09:40:13 - mmengine - INFO - Epoch(train) [7][2880/4451] lr: 3.7436e-02 eta: 2:03:20 time: 0.4971 data_time: 0.0109 memory: 16785 grad_norm: 0.1082 loss: 0.0184 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7812 recall@top3: 0.6771 prec@top3: 0.5417 recall@top5: 0.7656 prec@top5: 0.3875 loss_action_cls: 0.0184 2022/12/05 09:40:23 - mmengine - INFO - Epoch(train) [7][2900/4451] lr: 3.7350e-02 eta: 2:03:10 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1134 loss: 0.0189 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.6167 recall@top5: 0.8917 prec@top5: 0.4000 loss_action_cls: 0.0189 2022/12/05 09:40:32 - mmengine - INFO - Epoch(train) [7][2920/4451] lr: 3.7265e-02 eta: 2:03:00 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1125 loss: 0.0165 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8783 recall@top3: 0.9125 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0165 2022/12/05 09:40:42 - mmengine - INFO - Epoch(train) [7][2940/4451] lr: 3.7180e-02 eta: 2:02:50 time: 0.4958 data_time: 0.0113 memory: 16785 grad_norm: 0.1159 loss: 0.0191 recall@thr=0.5: 0.5919 prec@thr=0.5: 0.7043 recall@top3: 0.7801 prec@top3: 0.7097 recall@top5: 0.9328 prec@top5: 0.5226 loss_action_cls: 0.0191 2022/12/05 09:40:52 - mmengine - INFO - Epoch(train) [7][2960/4451] lr: 3.7095e-02 eta: 2:02:41 time: 0.4970 data_time: 0.0113 memory: 16785 grad_norm: 0.1127 loss: 0.0162 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.7879 recall@top3: 0.9545 prec@top3: 0.7121 recall@top5: 0.9773 prec@top5: 0.4455 loss_action_cls: 0.0162 2022/12/05 09:41:02 - mmengine - INFO - Epoch(train) [7][2980/4451] lr: 3.7009e-02 eta: 2:02:31 time: 0.4956 data_time: 0.0112 memory: 16785 grad_norm: 0.1161 loss: 0.0182 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8333 recall@top3: 0.9792 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0182 2022/12/05 09:41:12 - mmengine - INFO - Epoch(train) [7][3000/4451] lr: 3.6924e-02 eta: 2:02:21 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1125 loss: 0.0162 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7000 recall@top3: 0.7500 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.5700 loss_action_cls: 0.0162 2022/12/05 09:41:22 - mmengine - INFO - Epoch(train) [7][3020/4451] lr: 3.6839e-02 eta: 2:02:11 time: 0.4956 data_time: 0.0109 memory: 16785 grad_norm: 0.1136 loss: 0.0192 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.8409 recall@top3: 0.7955 prec@top3: 0.5152 recall@top5: 0.8636 prec@top5: 0.3364 loss_action_cls: 0.0192 2022/12/05 09:41:32 - mmengine - INFO - Epoch(train) [7][3040/4451] lr: 3.6754e-02 eta: 2:02:01 time: 0.4968 data_time: 0.0110 memory: 16785 grad_norm: 0.1119 loss: 0.0161 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4583 recall@top3: 0.7083 prec@top3: 0.4444 recall@top5: 0.8889 prec@top5: 0.3333 loss_action_cls: 0.0161 2022/12/05 09:41:42 - mmengine - INFO - Epoch(train) [7][3060/4451] lr: 3.6669e-02 eta: 2:01:51 time: 0.4956 data_time: 0.0113 memory: 16785 grad_norm: 0.1132 loss: 0.0167 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7976 recall@top3: 0.7857 prec@top3: 0.4048 recall@top5: 0.9643 prec@top5: 0.3000 loss_action_cls: 0.0167 2022/12/05 09:41:52 - mmengine - INFO - Epoch(train) [7][3080/4451] lr: 3.6584e-02 eta: 2:01:41 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1102 loss: 0.0161 recall@thr=0.5: 0.9023 prec@thr=0.5: 0.9242 recall@top3: 0.9705 prec@top3: 0.7121 recall@top5: 0.9909 prec@top5: 0.4455 loss_action_cls: 0.0161 2022/12/05 09:42:02 - mmengine - INFO - Epoch(train) [7][3100/4451] lr: 3.6499e-02 eta: 2:01:31 time: 0.4979 data_time: 0.0110 memory: 16785 grad_norm: 0.1085 loss: 0.0167 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.9033 recall@top3: 0.8367 prec@top3: 0.5333 recall@top5: 0.9533 prec@top5: 0.3840 loss_action_cls: 0.0167 2022/12/05 09:42:12 - mmengine - INFO - Epoch(train) [7][3120/4451] lr: 3.6414e-02 eta: 2:01:21 time: 0.4970 data_time: 0.0110 memory: 16785 grad_norm: 0.1103 loss: 0.0164 recall@thr=0.5: 0.4924 prec@thr=0.5: 0.5909 recall@top3: 0.7727 prec@top3: 0.5909 recall@top5: 0.8864 prec@top5: 0.4182 loss_action_cls: 0.0164 2022/12/05 09:42:22 - mmengine - INFO - Epoch(train) [7][3140/4451] lr: 3.6329e-02 eta: 2:01:11 time: 0.4956 data_time: 0.0112 memory: 16785 grad_norm: 0.1175 loss: 0.0183 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.5877 recall@top3: 0.8070 prec@top3: 0.5439 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0183 2022/12/05 09:42:32 - mmengine - INFO - Epoch(train) [7][3160/4451] lr: 3.6244e-02 eta: 2:01:01 time: 0.4967 data_time: 0.0105 memory: 16785 grad_norm: 0.1158 loss: 0.0179 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9375 recall@top3: 0.9167 prec@top3: 0.5625 recall@top5: 0.9583 prec@top5: 0.3625 loss_action_cls: 0.0179 2022/12/05 09:42:42 - mmengine - INFO - Epoch(train) [7][3180/4451] lr: 3.6159e-02 eta: 2:00:51 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1136 loss: 0.0167 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.8478 recall@top3: 0.8406 prec@top3: 0.7246 recall@top5: 0.9783 prec@top5: 0.5391 loss_action_cls: 0.0167 2022/12/05 09:42:52 - mmengine - INFO - Epoch(train) [7][3200/4451] lr: 3.6075e-02 eta: 2:00:42 time: 0.4978 data_time: 0.0108 memory: 16785 grad_norm: 0.1077 loss: 0.0155 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7302 recall@top3: 0.7540 prec@top3: 0.5714 recall@top5: 0.9127 prec@top5: 0.4095 loss_action_cls: 0.0155 2022/12/05 09:43:01 - mmengine - INFO - Epoch(train) [7][3220/4451] lr: 3.5990e-02 eta: 2:00:32 time: 0.4968 data_time: 0.0114 memory: 16785 grad_norm: 0.1140 loss: 0.0157 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7556 recall@top3: 0.9667 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0157 2022/12/05 09:43:11 - mmengine - INFO - Epoch(train) [7][3240/4451] lr: 3.5905e-02 eta: 2:00:22 time: 0.4976 data_time: 0.0116 memory: 16785 grad_norm: 0.1140 loss: 0.0168 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8214 recall@top3: 0.8214 prec@top3: 0.5714 recall@top5: 0.9643 prec@top5: 0.3857 loss_action_cls: 0.0168 2022/12/05 09:43:21 - mmengine - INFO - Epoch(train) [7][3260/4451] lr: 3.5821e-02 eta: 2:00:12 time: 0.4955 data_time: 0.0112 memory: 16785 grad_norm: 0.1127 loss: 0.0180 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.8333 recall@top3: 0.8750 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0180 2022/12/05 09:43:31 - mmengine - INFO - Epoch(train) [7][3280/4451] lr: 3.5736e-02 eta: 2:00:02 time: 0.4972 data_time: 0.0108 memory: 16785 grad_norm: 0.1136 loss: 0.0168 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.6667 recall@top3: 0.9737 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.3684 loss_action_cls: 0.0168 2022/12/05 09:43:38 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 09:43:41 - mmengine - INFO - Epoch(train) [7][3300/4451] lr: 3.5652e-02 eta: 1:59:52 time: 0.4959 data_time: 0.0111 memory: 16785 grad_norm: 0.1109 loss: 0.0185 recall@thr=0.5: 0.7355 prec@thr=0.5: 0.7029 recall@top3: 0.8152 prec@top3: 0.5362 recall@top5: 0.9275 prec@top5: 0.3826 loss_action_cls: 0.0185 2022/12/05 09:43:51 - mmengine - INFO - Epoch(train) [7][3320/4451] lr: 3.5567e-02 eta: 1:59:42 time: 0.4960 data_time: 0.0112 memory: 16785 grad_norm: 0.1151 loss: 0.0171 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.8400 recall@top3: 0.8933 prec@top3: 0.7200 recall@top5: 0.9700 prec@top5: 0.4880 loss_action_cls: 0.0171 2022/12/05 09:44:01 - mmengine - INFO - Epoch(train) [7][3340/4451] lr: 3.5483e-02 eta: 1:59:32 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1190 loss: 0.0196 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8704 recall@top3: 0.8278 prec@top3: 0.8272 recall@top5: 0.9679 prec@top5: 0.6000 loss_action_cls: 0.0196 2022/12/05 09:44:11 - mmengine - INFO - Epoch(train) [7][3360/4451] lr: 3.5398e-02 eta: 1:59:22 time: 0.4965 data_time: 0.0108 memory: 16785 grad_norm: 0.1154 loss: 0.0155 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8561 recall@top3: 0.8712 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0155 2022/12/05 09:44:21 - mmengine - INFO - Epoch(train) [7][3380/4451] lr: 3.5314e-02 eta: 1:59:12 time: 0.4964 data_time: 0.0108 memory: 16785 grad_norm: 0.1147 loss: 0.0187 recall@thr=0.5: 0.7080 prec@thr=0.5: 0.8467 recall@top3: 0.7747 prec@top3: 0.7200 recall@top5: 0.9133 prec@top5: 0.5280 loss_action_cls: 0.0187 2022/12/05 09:44:31 - mmengine - INFO - Epoch(train) [7][3400/4451] lr: 3.5230e-02 eta: 1:59:02 time: 0.4976 data_time: 0.0114 memory: 16785 grad_norm: 0.1198 loss: 0.0161 recall@thr=0.5: 0.8026 prec@thr=0.5: 0.7939 recall@top3: 0.8553 prec@top3: 0.7193 recall@top5: 0.9825 prec@top5: 0.5053 loss_action_cls: 0.0161 2022/12/05 09:44:41 - mmengine - INFO - Epoch(train) [7][3420/4451] lr: 3.5145e-02 eta: 1:58:53 time: 0.4999 data_time: 0.0127 memory: 16785 grad_norm: 0.1150 loss: 0.0148 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.8021 recall@top3: 0.8750 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5625 loss_action_cls: 0.0148 2022/12/05 09:44:51 - mmengine - INFO - Epoch(train) [7][3440/4451] lr: 3.5061e-02 eta: 1:58:43 time: 0.4963 data_time: 0.0113 memory: 16785 grad_norm: 0.1136 loss: 0.0178 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8333 recall@top3: 0.8750 prec@top3: 0.6296 recall@top5: 0.9306 prec@top5: 0.3889 loss_action_cls: 0.0178 2022/12/05 09:45:01 - mmengine - INFO - Epoch(train) [7][3460/4451] lr: 3.4977e-02 eta: 1:58:33 time: 0.4964 data_time: 0.0115 memory: 16785 grad_norm: 0.1116 loss: 0.0147 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6389 recall@top3: 0.8241 prec@top3: 0.5370 recall@top5: 0.9444 prec@top5: 0.3667 loss_action_cls: 0.0147 2022/12/05 09:45:11 - mmengine - INFO - Epoch(train) [7][3480/4451] lr: 3.4893e-02 eta: 1:58:23 time: 0.4973 data_time: 0.0112 memory: 16785 grad_norm: 0.1157 loss: 0.0163 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7604 recall@top3: 0.7760 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.5500 loss_action_cls: 0.0163 2022/12/05 09:45:21 - mmengine - INFO - Epoch(train) [7][3500/4451] lr: 3.4809e-02 eta: 1:58:13 time: 0.4970 data_time: 0.0111 memory: 16785 grad_norm: 0.1158 loss: 0.0184 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.7792 recall@top3: 0.7875 prec@top3: 0.6000 recall@top5: 0.9125 prec@top5: 0.4400 loss_action_cls: 0.0184 2022/12/05 09:45:31 - mmengine - INFO - Epoch(train) [7][3520/4451] lr: 3.4725e-02 eta: 1:58:03 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1138 loss: 0.0160 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8444 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0160 2022/12/05 09:45:40 - mmengine - INFO - Epoch(train) [7][3540/4451] lr: 3.4641e-02 eta: 1:57:53 time: 0.4965 data_time: 0.0108 memory: 16785 grad_norm: 0.1172 loss: 0.0165 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.8417 recall@top3: 0.9417 prec@top3: 0.5333 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0165 2022/12/05 09:45:50 - mmengine - INFO - Epoch(train) [7][3560/4451] lr: 3.4557e-02 eta: 1:57:43 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1105 loss: 0.0171 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.9123 recall@top3: 0.8333 prec@top3: 0.6491 recall@top5: 0.9561 prec@top5: 0.4737 loss_action_cls: 0.0171 2022/12/05 09:46:00 - mmengine - INFO - Epoch(train) [7][3580/4451] lr: 3.4473e-02 eta: 1:57:33 time: 0.4967 data_time: 0.0114 memory: 16785 grad_norm: 0.1192 loss: 0.0182 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7208 recall@top3: 0.7208 prec@top3: 0.6167 recall@top5: 0.8583 prec@top5: 0.4400 loss_action_cls: 0.0182 2022/12/05 09:46:10 - mmengine - INFO - Epoch(train) [7][3600/4451] lr: 3.4389e-02 eta: 1:57:23 time: 0.4960 data_time: 0.0108 memory: 16785 grad_norm: 0.1126 loss: 0.0185 recall@thr=0.5: 0.6590 prec@thr=0.5: 0.8958 recall@top3: 0.7868 prec@top3: 0.7639 recall@top5: 0.9208 prec@top5: 0.5667 loss_action_cls: 0.0185 2022/12/05 09:46:20 - mmengine - INFO - Epoch(train) [7][3620/4451] lr: 3.4305e-02 eta: 1:57:13 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1123 loss: 0.0168 recall@thr=0.5: 0.7592 prec@thr=0.5: 0.8167 recall@top3: 0.8675 prec@top3: 0.7667 recall@top5: 0.9733 prec@top5: 0.5300 loss_action_cls: 0.0168 2022/12/05 09:46:30 - mmengine - INFO - Epoch(train) [7][3640/4451] lr: 3.4221e-02 eta: 1:57:04 time: 0.4974 data_time: 0.0109 memory: 16785 grad_norm: 0.1110 loss: 0.0173 recall@thr=0.5: 0.7926 prec@thr=0.5: 0.7685 recall@top3: 0.9093 prec@top3: 0.6481 recall@top5: 0.9778 prec@top5: 0.4333 loss_action_cls: 0.0173 2022/12/05 09:46:40 - mmengine - INFO - Epoch(train) [7][3660/4451] lr: 3.4138e-02 eta: 1:56:54 time: 0.4970 data_time: 0.0114 memory: 16785 grad_norm: 0.1129 loss: 0.0165 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5833 recall@top3: 0.7870 prec@top3: 0.6111 recall@top5: 0.9074 prec@top5: 0.4222 loss_action_cls: 0.0165 2022/12/05 09:46:50 - mmengine - INFO - Epoch(train) [7][3680/4451] lr: 3.4054e-02 eta: 1:56:44 time: 0.4992 data_time: 0.0128 memory: 16785 grad_norm: 0.1140 loss: 0.0156 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7321 recall@top3: 0.8810 prec@top3: 0.5714 recall@top5: 0.9821 prec@top5: 0.3857 loss_action_cls: 0.0156 2022/12/05 09:47:00 - mmengine - INFO - Epoch(train) [7][3700/4451] lr: 3.3971e-02 eta: 1:56:34 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1215 loss: 0.0192 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.6439 recall@top3: 0.7159 prec@top3: 0.6364 recall@top5: 0.9091 prec@top5: 0.4545 loss_action_cls: 0.0192 2022/12/05 09:47:10 - mmengine - INFO - Epoch(train) [7][3720/4451] lr: 3.3887e-02 eta: 1:56:24 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1116 loss: 0.0175 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.8409 recall@top3: 0.7652 prec@top3: 0.7879 recall@top5: 0.9356 prec@top5: 0.5818 loss_action_cls: 0.0175 2022/12/05 09:47:20 - mmengine - INFO - Epoch(train) [7][3740/4451] lr: 3.3803e-02 eta: 1:56:14 time: 0.4964 data_time: 0.0108 memory: 16785 grad_norm: 0.1178 loss: 0.0180 recall@thr=0.5: 0.4547 prec@thr=0.5: 0.5651 recall@top3: 0.7672 prec@top3: 0.5833 recall@top5: 0.9328 prec@top5: 0.4500 loss_action_cls: 0.0180 2022/12/05 09:47:30 - mmengine - INFO - Epoch(train) [7][3760/4451] lr: 3.3720e-02 eta: 1:56:04 time: 0.4962 data_time: 0.0112 memory: 16785 grad_norm: 0.1170 loss: 0.0165 recall@thr=0.5: 0.6935 prec@thr=0.5: 0.9464 recall@top3: 0.9077 prec@top3: 0.8095 recall@top5: 0.9792 prec@top5: 0.5286 loss_action_cls: 0.0165 2022/12/05 09:47:40 - mmengine - INFO - Epoch(train) [7][3780/4451] lr: 3.3637e-02 eta: 1:55:54 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1176 loss: 0.0163 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7857 recall@top3: 0.8631 prec@top3: 0.5952 recall@top5: 0.9405 prec@top5: 0.4000 loss_action_cls: 0.0163 2022/12/05 09:47:50 - mmengine - INFO - Epoch(train) [7][3800/4451] lr: 3.3553e-02 eta: 1:55:44 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1108 loss: 0.0181 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.8281 recall@top3: 0.7596 prec@top3: 0.6842 recall@top5: 0.9500 prec@top5: 0.5368 loss_action_cls: 0.0181 2022/12/05 09:48:00 - mmengine - INFO - Epoch(train) [7][3820/4451] lr: 3.3470e-02 eta: 1:55:34 time: 0.4972 data_time: 0.0119 memory: 16785 grad_norm: 0.1183 loss: 0.0145 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8864 recall@top3: 0.8932 prec@top3: 0.8182 recall@top5: 0.9758 prec@top5: 0.5545 loss_action_cls: 0.0145 2022/12/05 09:48:09 - mmengine - INFO - Epoch(train) [7][3840/4451] lr: 3.3387e-02 eta: 1:55:24 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1156 loss: 0.0163 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.8971 recall@top3: 0.8358 prec@top3: 0.7157 recall@top5: 0.9436 prec@top5: 0.4824 loss_action_cls: 0.0163 2022/12/05 09:48:19 - mmengine - INFO - Epoch(train) [7][3860/4451] lr: 3.3304e-02 eta: 1:55:14 time: 0.4961 data_time: 0.0113 memory: 16785 grad_norm: 0.1129 loss: 0.0176 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7333 recall@top3: 0.7875 prec@top3: 0.5833 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0176 2022/12/05 09:48:29 - mmengine - INFO - Epoch(train) [7][3880/4451] lr: 3.3220e-02 eta: 1:55:05 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1133 loss: 0.0173 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.5614 recall@top3: 0.7149 prec@top3: 0.5965 recall@top5: 0.7982 prec@top5: 0.4105 loss_action_cls: 0.0173 2022/12/05 09:48:39 - mmengine - INFO - Epoch(train) [7][3900/4451] lr: 3.3137e-02 eta: 1:54:55 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1138 loss: 0.0163 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8750 recall@top3: 0.9062 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0163 2022/12/05 09:48:49 - mmengine - INFO - Epoch(train) [7][3920/4451] lr: 3.3054e-02 eta: 1:54:45 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1178 loss: 0.0168 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7083 recall@top3: 0.8194 prec@top3: 0.5833 recall@top5: 0.9861 prec@top5: 0.4333 loss_action_cls: 0.0168 2022/12/05 09:48:59 - mmengine - INFO - Epoch(train) [7][3940/4451] lr: 3.2971e-02 eta: 1:54:35 time: 0.4963 data_time: 0.0104 memory: 16785 grad_norm: 0.1080 loss: 0.0140 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6400 recall@top3: 0.8600 prec@top3: 0.5733 recall@top5: 0.9400 prec@top5: 0.3840 loss_action_cls: 0.0140 2022/12/05 09:49:09 - mmengine - INFO - Epoch(train) [7][3960/4451] lr: 3.2888e-02 eta: 1:54:25 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1155 loss: 0.0178 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8125 recall@top3: 0.8438 prec@top3: 0.6250 recall@top5: 0.9479 prec@top5: 0.4125 loss_action_cls: 0.0178 2022/12/05 09:49:19 - mmengine - INFO - Epoch(train) [7][3980/4451] lr: 3.2806e-02 eta: 1:54:15 time: 0.4969 data_time: 0.0107 memory: 16785 grad_norm: 0.1142 loss: 0.0183 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8295 recall@top3: 0.9242 prec@top3: 0.6818 recall@top5: 0.9773 prec@top5: 0.4364 loss_action_cls: 0.0183 2022/12/05 09:49:29 - mmengine - INFO - Epoch(train) [7][4000/4451] lr: 3.2723e-02 eta: 1:54:05 time: 0.4980 data_time: 0.0113 memory: 16785 grad_norm: 0.1122 loss: 0.0174 recall@thr=0.5: 0.5795 prec@thr=0.5: 0.7500 recall@top3: 0.6932 prec@top3: 0.6364 recall@top5: 0.8295 prec@top5: 0.4545 loss_action_cls: 0.0174 2022/12/05 09:49:39 - mmengine - INFO - Epoch(train) [7][4020/4451] lr: 3.2640e-02 eta: 1:53:55 time: 0.4971 data_time: 0.0115 memory: 16785 grad_norm: 0.1136 loss: 0.0157 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7778 recall@top3: 0.8889 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3556 loss_action_cls: 0.0157 2022/12/05 09:49:49 - mmengine - INFO - Epoch(train) [7][4040/4451] lr: 3.2557e-02 eta: 1:53:45 time: 0.4980 data_time: 0.0113 memory: 16785 grad_norm: 0.1141 loss: 0.0148 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9020 recall@top3: 0.8431 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0148 2022/12/05 09:49:59 - mmengine - INFO - Epoch(train) [7][4060/4451] lr: 3.2475e-02 eta: 1:53:35 time: 0.4969 data_time: 0.0113 memory: 16785 grad_norm: 0.1128 loss: 0.0172 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.5833 recall@top3: 0.7941 prec@top3: 0.4314 recall@top5: 0.9412 prec@top5: 0.2941 loss_action_cls: 0.0172 2022/12/05 09:50:09 - mmengine - INFO - Epoch(train) [7][4080/4451] lr: 3.2392e-02 eta: 1:53:25 time: 0.4970 data_time: 0.0116 memory: 16785 grad_norm: 0.1164 loss: 0.0160 recall@thr=0.5: 0.7280 prec@thr=0.5: 0.8106 recall@top3: 0.8538 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.5000 loss_action_cls: 0.0160 2022/12/05 09:50:19 - mmengine - INFO - Epoch(train) [7][4100/4451] lr: 3.2309e-02 eta: 1:53:16 time: 0.4967 data_time: 0.0109 memory: 16785 grad_norm: 0.1193 loss: 0.0165 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8947 recall@top3: 0.8904 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.3684 loss_action_cls: 0.0165 2022/12/05 09:50:29 - mmengine - INFO - Epoch(train) [7][4120/4451] lr: 3.2227e-02 eta: 1:53:06 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1102 loss: 0.0168 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8301 recall@top3: 0.8410 prec@top3: 0.7179 recall@top5: 0.9846 prec@top5: 0.5154 loss_action_cls: 0.0168 2022/12/05 09:50:39 - mmengine - INFO - Epoch(train) [7][4140/4451] lr: 3.2144e-02 eta: 1:52:56 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.1176 loss: 0.0164 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.8722 recall@top3: 0.7856 prec@top3: 0.8000 recall@top5: 0.9283 prec@top5: 0.5800 loss_action_cls: 0.0164 2022/12/05 09:50:48 - mmengine - INFO - Epoch(train) [7][4160/4451] lr: 3.2062e-02 eta: 1:52:46 time: 0.4960 data_time: 0.0110 memory: 16785 grad_norm: 0.1214 loss: 0.0192 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.7038 recall@top3: 0.7727 prec@top3: 0.6515 recall@top5: 0.9205 prec@top5: 0.4636 loss_action_cls: 0.0192 2022/12/05 09:50:58 - mmengine - INFO - Epoch(train) [7][4180/4451] lr: 3.1980e-02 eta: 1:52:36 time: 0.4973 data_time: 0.0112 memory: 16785 grad_norm: 0.1154 loss: 0.0189 recall@thr=0.5: 0.6694 prec@thr=0.5: 0.8790 recall@top3: 0.7661 prec@top3: 0.5806 recall@top5: 0.8602 prec@top5: 0.4000 loss_action_cls: 0.0189 2022/12/05 09:51:08 - mmengine - INFO - Epoch(train) [7][4200/4451] lr: 3.1898e-02 eta: 1:52:26 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1161 loss: 0.0171 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.6458 recall@top3: 0.8229 prec@top3: 0.5625 recall@top5: 0.8750 prec@top5: 0.3625 loss_action_cls: 0.0171 2022/12/05 09:51:18 - mmengine - INFO - Epoch(train) [7][4220/4451] lr: 3.1815e-02 eta: 1:52:16 time: 0.4984 data_time: 0.0108 memory: 16785 grad_norm: 0.1075 loss: 0.0184 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7407 recall@top3: 0.8611 prec@top3: 0.6296 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0184 2022/12/05 09:51:28 - mmengine - INFO - Epoch(train) [7][4240/4451] lr: 3.1733e-02 eta: 1:52:06 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1098 loss: 0.0176 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8083 recall@top3: 0.7208 prec@top3: 0.6000 recall@top5: 0.9125 prec@top5: 0.4600 loss_action_cls: 0.0176 2022/12/05 09:51:38 - mmengine - INFO - Epoch(train) [7][4260/4451] lr: 3.1651e-02 eta: 1:51:56 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1102 loss: 0.0174 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.8864 recall@top3: 0.8636 prec@top3: 0.6212 recall@top5: 0.9773 prec@top5: 0.4364 loss_action_cls: 0.0174 2022/12/05 09:51:48 - mmengine - INFO - Epoch(train) [7][4280/4451] lr: 3.1569e-02 eta: 1:51:46 time: 0.4966 data_time: 0.0113 memory: 16785 grad_norm: 0.1126 loss: 0.0180 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.7273 recall@top3: 0.8409 prec@top3: 0.5606 recall@top5: 0.9545 prec@top5: 0.3909 loss_action_cls: 0.0180 2022/12/05 09:51:55 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 09:51:58 - mmengine - INFO - Epoch(train) [7][4300/4451] lr: 3.1487e-02 eta: 1:51:36 time: 0.4967 data_time: 0.0112 memory: 16785 grad_norm: 0.1123 loss: 0.0164 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.8056 recall@top3: 0.7222 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0164 2022/12/05 09:52:08 - mmengine - INFO - Epoch(train) [7][4320/4451] lr: 3.1405e-02 eta: 1:51:27 time: 0.4964 data_time: 0.0107 memory: 16785 grad_norm: 0.1150 loss: 0.0174 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7255 recall@top3: 0.8725 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0174 2022/12/05 09:52:18 - mmengine - INFO - Epoch(train) [7][4340/4451] lr: 3.1323e-02 eta: 1:51:17 time: 0.4972 data_time: 0.0111 memory: 16785 grad_norm: 0.1145 loss: 0.0181 recall@thr=0.5: 0.7465 prec@thr=0.5: 0.6875 recall@top3: 0.7812 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4833 loss_action_cls: 0.0181 2022/12/05 09:52:28 - mmengine - INFO - Epoch(train) [7][4360/4451] lr: 3.1241e-02 eta: 1:51:07 time: 0.4974 data_time: 0.0115 memory: 16785 grad_norm: 0.1135 loss: 0.0182 recall@thr=0.5: 0.6641 prec@thr=0.5: 0.7292 recall@top3: 0.8177 prec@top3: 0.7292 recall@top5: 0.9661 prec@top5: 0.5250 loss_action_cls: 0.0182 2022/12/05 09:52:38 - mmengine - INFO - Epoch(train) [7][4380/4451] lr: 3.1160e-02 eta: 1:50:57 time: 0.4965 data_time: 0.0108 memory: 16785 grad_norm: 0.1177 loss: 0.0164 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.5185 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 0.8472 prec@top5: 0.3556 loss_action_cls: 0.0164 2022/12/05 09:52:48 - mmengine - INFO - Epoch(train) [7][4400/4451] lr: 3.1078e-02 eta: 1:50:47 time: 0.4971 data_time: 0.0111 memory: 16785 grad_norm: 0.1049 loss: 0.0151 recall@thr=0.5: 0.8046 prec@thr=0.5: 0.9310 recall@top3: 0.8908 prec@top3: 0.7011 recall@top5: 0.9770 prec@top5: 0.4621 loss_action_cls: 0.0151 2022/12/05 09:52:58 - mmengine - INFO - Epoch(train) [7][4420/4451] lr: 3.0996e-02 eta: 1:50:37 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1158 loss: 0.0182 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.7532 recall@top3: 0.7404 prec@top3: 0.6667 recall@top5: 0.9295 prec@top5: 0.4846 loss_action_cls: 0.0182 2022/12/05 09:53:08 - mmengine - INFO - Epoch(train) [7][4440/4451] lr: 3.0915e-02 eta: 1:50:27 time: 0.4978 data_time: 0.0123 memory: 16785 grad_norm: 0.1195 loss: 0.0167 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8250 recall@top3: 0.9250 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0167 2022/12/05 09:53:13 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 09:53:13 - mmengine - INFO - Epoch(train) [7][4451/4451] lr: 3.0870e-02 eta: 1:50:22 time: 0.4916 data_time: 0.0125 memory: 16785 grad_norm: 0.1157 loss: 0.0161 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7262 recall@top3: 0.8155 prec@top3: 0.6667 recall@top5: 0.9464 prec@top5: 0.4857 loss_action_cls: 0.0161 2022/12/05 09:53:13 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/12/05 09:53:18 - mmengine - INFO - Epoch(val) [7][ 20/6282] eta: 0:04:40 time: 0.0448 data_time: 0.0059 memory: 1088 2022/12/05 09:53:18 - mmengine - INFO - Epoch(val) [7][ 40/6282] eta: 0:04:19 time: 0.0382 data_time: 0.0020 memory: 1088 2022/12/05 09:53:19 - mmengine - INFO - Epoch(val) [7][ 60/6282] eta: 0:04:10 time: 0.0380 data_time: 0.0021 memory: 1088 2022/12/05 09:53:20 - mmengine - INFO - Epoch(val) [7][ 80/6282] eta: 0:04:06 time: 0.0377 data_time: 0.0016 memory: 1088 2022/12/05 09:53:21 - mmengine - INFO - Epoch(val) [7][ 100/6282] eta: 0:04:03 time: 0.0380 data_time: 0.0019 memory: 1088 2022/12/05 09:53:22 - mmengine - INFO - Epoch(val) [7][ 120/6282] eta: 0:04:11 time: 0.0484 data_time: 0.0022 memory: 1231 2022/12/05 09:53:23 - mmengine - INFO - Epoch(val) [7][ 140/6282] eta: 0:04:22 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 09:53:24 - mmengine - INFO - Epoch(val) [7][ 160/6282] eta: 0:04:30 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:53:25 - mmengine - INFO - Epoch(val) [7][ 180/6282] eta: 0:04:35 time: 0.0535 data_time: 0.0022 memory: 1231 2022/12/05 09:53:26 - mmengine - INFO - Epoch(val) [7][ 200/6282] eta: 0:04:39 time: 0.0529 data_time: 0.0023 memory: 1231 2022/12/05 09:53:27 - mmengine - INFO - Epoch(val) [7][ 220/6282] eta: 0:04:36 time: 0.0424 data_time: 0.0022 memory: 1113 2022/12/05 09:53:28 - mmengine - INFO - Epoch(val) [7][ 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0.0525 data_time: 0.0123 memory: 1113 2022/12/05 09:53:43 - mmengine - INFO - Epoch(val) [7][ 580/6282] eta: 0:04:21 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:53:44 - mmengine - INFO - Epoch(val) [7][ 600/6282] eta: 0:04:20 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:53:45 - mmengine - INFO - Epoch(val) [7][ 620/6282] eta: 0:04:18 time: 0.0415 data_time: 0.0024 memory: 1113 2022/12/05 09:53:46 - mmengine - INFO - Epoch(val) [7][ 640/6282] eta: 0:04:16 time: 0.0410 data_time: 0.0021 memory: 1105 2022/12/05 09:53:47 - mmengine - INFO - Epoch(val) [7][ 660/6282] eta: 0:04:15 time: 0.0425 data_time: 0.0018 memory: 1105 2022/12/05 09:53:48 - mmengine - INFO - Epoch(val) [7][ 680/6282] eta: 0:04:13 time: 0.0409 data_time: 0.0020 memory: 1105 2022/12/05 09:53:48 - mmengine - INFO - Epoch(val) [7][ 700/6282] eta: 0:04:12 time: 0.0408 data_time: 0.0020 memory: 1105 2022/12/05 09:53:50 - mmengine - INFO - Epoch(val) [7][ 720/6282] eta: 0:04:14 time: 0.0671 data_time: 0.0183 memory: 1231 2022/12/05 09:53:52 - mmengine - INFO - Epoch(val) [7][ 740/6282] eta: 0:04:20 time: 0.0931 data_time: 0.0407 memory: 1231 2022/12/05 09:53:53 - mmengine - INFO - Epoch(val) [7][ 760/6282] eta: 0:04:24 time: 0.0771 data_time: 0.0250 memory: 1231 2022/12/05 09:53:54 - mmengine - INFO - Epoch(val) [7][ 780/6282] eta: 0:04:24 time: 0.0545 data_time: 0.0027 memory: 1231 2022/12/05 09:53:55 - mmengine - INFO - Epoch(val) [7][ 800/6282] eta: 0:04:23 time: 0.0540 data_time: 0.0024 memory: 1231 2022/12/05 09:53:56 - mmengine - INFO - Epoch(val) [7][ 820/6282] eta: 0:04:22 time: 0.0471 data_time: 0.0021 memory: 1231 2022/12/05 09:53:57 - mmengine - INFO - Epoch(val) [7][ 840/6282] eta: 0:04:21 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 09:53:58 - mmengine - INFO - Epoch(val) [7][ 860/6282] eta: 0:04:19 time: 0.0427 data_time: 0.0025 memory: 1113 2022/12/05 09:53:59 - mmengine - INFO - Epoch(val) [7][ 880/6282] eta: 0:04:17 time: 0.0416 data_time: 0.0017 memory: 1113 2022/12/05 09:54:00 - mmengine - INFO - Epoch(val) [7][ 900/6282] eta: 0:04:16 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:54:01 - mmengine - INFO - Epoch(val) [7][ 920/6282] eta: 0:04:14 time: 0.0420 data_time: 0.0021 memory: 1113 2022/12/05 09:54:01 - mmengine - INFO - Epoch(val) [7][ 940/6282] eta: 0:04:12 time: 0.0378 data_time: 0.0020 memory: 1088 2022/12/05 09:54:02 - mmengine - INFO - Epoch(val) [7][ 960/6282] eta: 0:04:10 time: 0.0377 data_time: 0.0020 memory: 1088 2022/12/05 09:54:03 - mmengine - INFO - Epoch(val) [7][ 980/6282] eta: 0:04:08 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 09:54:04 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:04:06 time: 0.0377 data_time: 0.0019 memory: 1088 2022/12/05 09:54:04 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:04:04 time: 0.0381 data_time: 0.0020 memory: 1113 2022/12/05 09:54:05 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:04:03 time: 0.0417 data_time: 0.0019 memory: 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09:54:13 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:03:52 time: 0.0433 data_time: 0.0021 memory: 1113 2022/12/05 09:54:14 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:03:53 time: 0.0756 data_time: 0.0238 memory: 1231 2022/12/05 09:54:16 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:03:55 time: 0.0773 data_time: 0.0247 memory: 1231 2022/12/05 09:54:18 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:03:58 time: 0.1068 data_time: 0.0543 memory: 1231 2022/12/05 09:54:20 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:03:59 time: 0.0751 data_time: 0.0230 memory: 1231 2022/12/05 09:54:21 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:04:01 time: 0.0880 data_time: 0.0359 memory: 1231 2022/12/05 09:54:23 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:04:03 time: 0.0772 data_time: 0.0239 memory: 1231 2022/12/05 09:54:25 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:04:04 time: 0.0837 data_time: 0.0317 memory: 1231 2022/12/05 09:54:26 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:04:05 time: 0.0743 data_time: 0.0229 memory: 1231 2022/12/05 09:54:27 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:04:04 time: 0.0581 data_time: 0.0062 memory: 1231 2022/12/05 09:54:28 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:04:04 time: 0.0535 data_time: 0.0020 memory: 1231 2022/12/05 09:54:29 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:04:03 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 09:54:30 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:04:02 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:54:31 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:04:01 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 09:54:33 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:04:01 time: 0.0541 data_time: 0.0025 memory: 1231 2022/12/05 09:54:34 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:04:00 time: 0.0545 data_time: 0.0022 memory: 1404 2022/12/05 09:54:35 - mmengine - INFO 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eta: 0:03:50 time: 0.0758 data_time: 0.0232 memory: 1231 2022/12/05 09:54:55 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:03:50 time: 0.0763 data_time: 0.0242 memory: 1231 2022/12/05 09:54:57 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:03:50 time: 0.0808 data_time: 0.0287 memory: 1231 2022/12/05 09:54:59 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:03:50 time: 0.0787 data_time: 0.0270 memory: 1231 2022/12/05 09:55:00 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:03:49 time: 0.0508 data_time: 0.0021 memory: 1231 2022/12/05 09:55:01 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:03:48 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:55:01 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:03:46 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 09:55:02 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:03:45 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:55:03 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:03:43 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:55:04 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:03:42 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 09:55:05 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:03:40 time: 0.0423 data_time: 0.0022 memory: 1122 2022/12/05 09:55:06 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:03:39 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:55:06 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:03:37 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:55:07 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:03:36 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:55:08 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:03:35 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:55:09 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:03:33 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:55:10 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:03:32 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 09:55:11 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:03:30 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:55:12 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:03:29 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:55:12 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:03:28 time: 0.0421 data_time: 0.0019 memory: 1113 2022/12/05 09:55:13 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:03:26 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 09:55:14 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:03:25 time: 0.0422 data_time: 0.0021 memory: 1122 2022/12/05 09:55:15 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:03:24 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 09:55:16 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:03:22 time: 0.0426 data_time: 0.0020 memory: 1122 2022/12/05 09:55:17 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:03:21 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 09:55:17 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:03:20 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:55:18 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:03:18 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:55:19 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:03:17 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 09:55:20 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:03:16 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 09:55:21 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:03:14 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:55:22 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:03:13 time: 0.0536 data_time: 0.0024 memory: 1231 2022/12/05 09:55:23 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:03:13 time: 0.0547 data_time: 0.0027 memory: 1231 2022/12/05 09:55:24 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:03:12 time: 0.0547 data_time: 0.0025 memory: 1231 2022/12/05 09:55:25 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:03:11 time: 0.0562 data_time: 0.0026 memory: 1231 2022/12/05 09:55:26 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:03:10 time: 0.0549 data_time: 0.0026 memory: 1231 2022/12/05 09:55:28 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:03:10 time: 0.0796 data_time: 0.0269 memory: 1231 2022/12/05 09:55:30 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:03:10 time: 0.0853 data_time: 0.0327 memory: 1231 2022/12/05 09:55:31 - mmengine - INFO - Epoch(val) [7][2600/6282] eta: 0:03:09 time: 0.0796 data_time: 0.0273 memory: 1231 2022/12/05 09:55:33 - mmengine - INFO - Epoch(val) [7][2620/6282] eta: 0:03:09 time: 0.0757 data_time: 0.0232 memory: 1231 2022/12/05 09:55:34 - mmengine - INFO - Epoch(val) [7][2640/6282] eta: 0:03:08 time: 0.0583 data_time: 0.0064 memory: 1231 2022/12/05 09:55:35 - mmengine - INFO - Epoch(val) [7][2660/6282] eta: 0:03:08 time: 0.0662 data_time: 0.0022 memory: 1388 2022/12/05 09:55:37 - mmengine - INFO - Epoch(val) [7][2680/6282] eta: 0:03:07 time: 0.0667 data_time: 0.0026 memory: 1388 2022/12/05 09:55:38 - mmengine - INFO - Epoch(val) [7][2700/6282] eta: 0:03:06 time: 0.0668 data_time: 0.0026 memory: 1388 2022/12/05 09:55:39 - mmengine - INFO - Epoch(val) [7][2720/6282] eta: 0:03:06 time: 0.0664 data_time: 0.0024 memory: 1388 2022/12/05 09:55:41 - mmengine - INFO - Epoch(val) [7][2740/6282] eta: 0:03:05 time: 0.0631 data_time: 0.0025 memory: 1388 2022/12/05 09:55:41 - mmengine - INFO - Epoch(val) [7][2760/6282] eta: 0:03:04 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:55:42 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:03:02 time: 0.0437 data_time: 0.0021 memory: 1122 2022/12/05 09:55:43 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:03:01 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 09:55:44 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:03:00 time: 0.0436 data_time: 0.0026 memory: 1122 2022/12/05 09:55:45 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:02:59 time: 0.0429 data_time: 0.0022 memory: 1122 2022/12/05 09:55:46 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:02:57 time: 0.0506 data_time: 0.0023 memory: 1231 2022/12/05 09:55:47 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:02:56 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 09:55:48 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:02:55 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:55:49 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:02:54 time: 0.0483 data_time: 0.0022 memory: 1231 2022/12/05 09:55:50 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:02:53 time: 0.0467 data_time: 0.0021 memory: 1170 2022/12/05 09:55:51 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:02:52 time: 0.0464 data_time: 0.0020 memory: 1170 2022/12/05 09:55:52 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:02:51 time: 0.0462 data_time: 0.0021 memory: 1170 2022/12/05 09:55:53 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:02:50 time: 0.0463 data_time: 0.0021 memory: 1170 2022/12/05 09:55:54 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:02:49 time: 0.0532 data_time: 0.0021 memory: 1231 2022/12/05 09:55:55 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:02:48 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:55:56 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:02:47 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 09:55:57 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:02:46 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:55:58 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:02:45 time: 0.0482 data_time: 0.0022 memory: 1231 2022/12/05 09:55:59 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:02:43 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 09:56:00 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:02:42 time: 0.0425 data_time: 0.0020 memory: 1122 2022/12/05 09:56:01 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:02:41 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 09:56:01 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:02:40 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:56:02 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:02:39 time: 0.0506 data_time: 0.0023 memory: 1231 2022/12/05 09:56:04 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:02:38 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 09:56:05 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:02:37 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 09:56:06 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:02:36 time: 0.0538 data_time: 0.0023 memory: 1231 2022/12/05 09:56:07 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:02:35 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:56:08 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:02:34 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 09:56:09 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:02:33 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:56:10 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:02:32 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:56:11 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:02:31 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 09:56:12 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:02:30 time: 0.0503 data_time: 0.0022 memory: 1231 2022/12/05 09:56:13 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:02:28 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:56:14 - mmengine - INFO - Epoch(val) [7][3420/6282] eta: 0:02:27 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:56:15 - mmengine - INFO - Epoch(val) [7][3440/6282] eta: 0:02:26 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:56:15 - mmengine - INFO - Epoch(val) [7][3460/6282] eta: 0:02:25 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 09:56:16 - mmengine - INFO - Epoch(val) [7][3480/6282] eta: 0:02:24 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:56:17 - mmengine - INFO - Epoch(val) [7][3500/6282] eta: 0:02:22 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:56:18 - mmengine - INFO - Epoch(val) [7][3520/6282] eta: 0:02:21 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 09:56:19 - mmengine - INFO - Epoch(val) [7][3540/6282] eta: 0:02:20 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 09:56:20 - mmengine - INFO - Epoch(val) [7][3560/6282] eta: 0:02:19 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:56:21 - mmengine - INFO - Epoch(val) [7][3580/6282] eta: 0:02:18 time: 0.0446 data_time: 0.0020 memory: 1197 2022/12/05 09:56:22 - mmengine - INFO - Epoch(val) [7][3600/6282] eta: 0:02:17 time: 0.0484 data_time: 0.0024 memory: 1197 2022/12/05 09:56:23 - mmengine - INFO - Epoch(val) [7][3620/6282] eta: 0:02:16 time: 0.0493 data_time: 0.0021 memory: 1197 2022/12/05 09:56:24 - mmengine - INFO - Epoch(val) [7][3640/6282] eta: 0:02:15 time: 0.0484 data_time: 0.0022 memory: 1197 2022/12/05 09:56:24 - mmengine - INFO - Epoch(val) [7][3660/6282] eta: 0:02:14 time: 0.0482 data_time: 0.0022 memory: 1197 2022/12/05 09:56:26 - mmengine - INFO - Epoch(val) [7][3680/6282] eta: 0:02:13 time: 0.0511 data_time: 0.0024 memory: 1231 2022/12/05 09:56:27 - mmengine - INFO - Epoch(val) [7][3700/6282] eta: 0:02:12 time: 0.0548 data_time: 0.0025 memory: 1231 2022/12/05 09:56:28 - mmengine - INFO - Epoch(val) [7][3720/6282] eta: 0:02:11 time: 0.0547 data_time: 0.0026 memory: 1231 2022/12/05 09:56:29 - mmengine - INFO - Epoch(val) [7][3740/6282] eta: 0:02:10 time: 0.0545 data_time: 0.0025 memory: 1231 2022/12/05 09:56:30 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:02:09 time: 0.0549 data_time: 0.0025 memory: 1231 2022/12/05 09:56:31 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:02:08 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 09:56:32 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:02:07 time: 0.0546 data_time: 0.0025 memory: 1231 2022/12/05 09:56:33 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:02:06 time: 0.0546 data_time: 0.0026 memory: 1231 2022/12/05 09:56:34 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:02:05 time: 0.0545 data_time: 0.0025 memory: 1231 2022/12/05 09:56:35 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:02:04 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 09:56:36 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:02:03 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 09:56:38 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:02:02 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:56:39 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:02:01 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:56:40 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:02:00 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 09:56:41 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:01:59 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:56:42 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:01:58 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:56:43 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:01:57 time: 0.0544 data_time: 0.0023 memory: 1231 2022/12/05 09:56:44 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:01:56 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 09:56:45 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:01:55 time: 0.0557 data_time: 0.0023 memory: 1388 2022/12/05 09:56:47 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:01:54 time: 0.0668 data_time: 0.0024 memory: 1388 2022/12/05 09:56:48 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:01:53 time: 0.0665 data_time: 0.0023 memory: 1388 2022/12/05 09:56:49 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:01:52 time: 0.0663 data_time: 0.0024 memory: 1388 2022/12/05 09:56:51 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:01:51 time: 0.0663 data_time: 0.0024 memory: 1388 2022/12/05 09:56:52 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:01:50 time: 0.0570 data_time: 0.0023 memory: 1388 2022/12/05 09:56:52 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:01:49 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 09:56:53 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:01:48 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 09:56:54 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:01:47 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:56:55 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:01:46 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:56:56 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:01:45 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 09:56:57 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:01:44 time: 0.0427 data_time: 0.0020 memory: 1111 2022/12/05 09:56:58 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:01:42 time: 0.0416 data_time: 0.0019 memory: 1111 2022/12/05 09:56:58 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:01:41 time: 0.0419 data_time: 0.0019 memory: 1111 2022/12/05 09:56:59 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:01:40 time: 0.0419 data_time: 0.0019 memory: 1111 2022/12/05 09:57:00 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:01:39 time: 0.0422 data_time: 0.0021 memory: 1111 2022/12/05 09:57:01 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:01:38 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 09:57:02 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:01:37 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:57:03 - mmengine - INFO - Epoch(val) [7][4400/6282] eta: 0:01:36 time: 0.0537 data_time: 0.0023 memory: 1231 2022/12/05 09:57:04 - mmengine - INFO - Epoch(val) [7][4420/6282] eta: 0:01:35 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:57:06 - mmengine - INFO - Epoch(val) [7][4440/6282] eta: 0:01:34 time: 0.0542 data_time: 0.0023 memory: 1245 2022/12/05 09:57:07 - mmengine - INFO - Epoch(val) [7][4460/6282] eta: 0:01:33 time: 0.0548 data_time: 0.0023 memory: 1245 2022/12/05 09:57:08 - mmengine - INFO - Epoch(val) [7][4480/6282] eta: 0:01:32 time: 0.0546 data_time: 0.0022 memory: 1245 2022/12/05 09:57:09 - mmengine - INFO - Epoch(val) [7][4500/6282] eta: 0:01:31 time: 0.0545 data_time: 0.0022 memory: 1245 2022/12/05 09:57:10 - mmengine - INFO - Epoch(val) [7][4520/6282] eta: 0:01:30 time: 0.0519 data_time: 0.0022 memory: 1245 2022/12/05 09:57:11 - mmengine - INFO - Epoch(val) [7][4540/6282] eta: 0:01:29 time: 0.0422 data_time: 0.0019 memory: 1122 2022/12/05 09:57:12 - mmengine - INFO - Epoch(val) [7][4560/6282] eta: 0:01:28 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:57:12 - mmengine - INFO - Epoch(val) [7][4580/6282] eta: 0:01:27 time: 0.0425 data_time: 0.0022 memory: 1122 2022/12/05 09:57:13 - mmengine - INFO - Epoch(val) [7][4600/6282] eta: 0:01:26 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 09:57:14 - mmengine - INFO - Epoch(val) 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eta: 0:01:16 time: 0.0465 data_time: 0.0021 memory: 1164 2022/12/05 09:57:23 - mmengine - INFO - Epoch(val) [7][4800/6282] eta: 0:01:15 time: 0.0463 data_time: 0.0022 memory: 1164 2022/12/05 09:57:24 - mmengine - INFO - Epoch(val) [7][4820/6282] eta: 0:01:14 time: 0.0483 data_time: 0.0021 memory: 1231 2022/12/05 09:57:25 - mmengine - INFO - Epoch(val) [7][4840/6282] eta: 0:01:13 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 09:57:26 - mmengine - INFO - Epoch(val) [7][4860/6282] eta: 0:01:12 time: 0.0539 data_time: 0.0024 memory: 1231 2022/12/05 09:57:27 - mmengine - INFO - Epoch(val) [7][4880/6282] eta: 0:01:11 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:57:29 - mmengine - INFO - Epoch(val) [7][4900/6282] eta: 0:01:10 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 09:57:30 - mmengine - INFO - Epoch(val) [7][4920/6282] eta: 0:01:09 time: 0.0539 data_time: 0.0022 memory: 1237 2022/12/05 09:57:31 - mmengine - INFO - Epoch(val) [7][4940/6282] eta: 0:01:08 time: 0.0541 data_time: 0.0022 memory: 1237 2022/12/05 09:57:32 - mmengine - INFO - Epoch(val) [7][4960/6282] eta: 0:01:07 time: 0.0541 data_time: 0.0023 memory: 1237 2022/12/05 09:57:33 - mmengine - INFO - Epoch(val) [7][4980/6282] eta: 0:01:06 time: 0.0542 data_time: 0.0023 memory: 1237 2022/12/05 09:57:34 - mmengine - INFO - Epoch(val) [7][5000/6282] eta: 0:01:05 time: 0.0539 data_time: 0.0022 memory: 1237 2022/12/05 09:57:35 - mmengine - INFO - Epoch(val) [7][5020/6282] eta: 0:01:04 time: 0.0476 data_time: 0.0022 memory: 1237 2022/12/05 09:57:36 - mmengine - INFO - Epoch(val) [7][5040/6282] eta: 0:01:03 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 09:57:37 - mmengine - INFO - Epoch(val) [7][5060/6282] eta: 0:01:02 time: 0.0426 data_time: 0.0020 memory: 1122 2022/12/05 09:57:38 - mmengine - INFO - Epoch(val) [7][5080/6282] eta: 0:01:01 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 09:57:38 - mmengine - INFO - Epoch(val) [7][5100/6282] eta: 0:01:00 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 09:57:39 - mmengine - INFO - Epoch(val) [7][5120/6282] eta: 0:00:59 time: 0.0421 data_time: 0.0018 memory: 1122 2022/12/05 09:57:40 - mmengine - INFO - Epoch(val) [7][5140/6282] eta: 0:00:58 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:57:41 - mmengine - INFO - Epoch(val) [7][5160/6282] eta: 0:00:57 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:57:42 - mmengine - INFO - Epoch(val) [7][5180/6282] eta: 0:00:56 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:57:43 - mmengine - INFO - Epoch(val) [7][5200/6282] eta: 0:00:55 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 09:57:43 - mmengine - INFO - Epoch(val) [7][5220/6282] eta: 0:00:54 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:57:44 - mmengine - INFO - Epoch(val) [7][5240/6282] eta: 0:00:53 time: 0.0421 data_time: 0.0020 memory: 1111 2022/12/05 09:57:45 - mmengine - INFO - Epoch(val) [7][5260/6282] eta: 0:00:51 time: 0.0424 data_time: 0.0020 memory: 1111 2022/12/05 09:57:46 - mmengine - INFO - Epoch(val) [7][5280/6282] eta: 0:00:50 time: 0.0427 data_time: 0.0019 memory: 1111 2022/12/05 09:57:47 - mmengine - INFO - Epoch(val) [7][5300/6282] eta: 0:00:49 time: 0.0429 data_time: 0.0021 memory: 1111 2022/12/05 09:57:48 - mmengine - INFO - Epoch(val) [7][5320/6282] eta: 0:00:48 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 09:57:49 - mmengine - INFO - Epoch(val) [7][5340/6282] eta: 0:00:47 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:57:49 - mmengine - INFO - Epoch(val) [7][5360/6282] eta: 0:00:46 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:57:50 - mmengine - INFO - Epoch(val) [7][5380/6282] eta: 0:00:45 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 09:57:51 - mmengine - INFO - Epoch(val) [7][5400/6282] eta: 0:00:44 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:57:52 - mmengine - INFO - Epoch(val) [7][5420/6282] eta: 0:00:43 time: 0.0428 data_time: 0.0020 memory: 1113 2022/12/05 09:57:53 - mmengine - INFO - Epoch(val) [7][5440/6282] eta: 0:00:42 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:57:54 - mmengine - INFO - Epoch(val) [7][5460/6282] eta: 0:00:41 time: 0.0421 data_time: 0.0022 memory: 1113 2022/12/05 09:57:54 - mmengine - INFO - Epoch(val) [7][5480/6282] eta: 0:00:40 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:57:55 - mmengine - INFO - Epoch(val) [7][5500/6282] eta: 0:00:39 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:57:56 - mmengine - INFO - Epoch(val) [7][5520/6282] eta: 0:00:38 time: 0.0445 data_time: 0.0021 memory: 1155 2022/12/05 09:57:57 - mmengine - INFO - Epoch(val) [7][5540/6282] eta: 0:00:37 time: 0.0451 data_time: 0.0021 memory: 1155 2022/12/05 09:57:58 - mmengine - INFO - Epoch(val) [7][5560/6282] eta: 0:00:36 time: 0.0455 data_time: 0.0024 memory: 1155 2022/12/05 09:57:59 - mmengine - INFO - Epoch(val) [7][5580/6282] eta: 0:00:35 time: 0.0448 data_time: 0.0020 memory: 1155 2022/12/05 09:58:00 - mmengine - INFO - Epoch(val) [7][5600/6282] eta: 0:00:34 time: 0.0453 data_time: 0.0021 memory: 1155 2022/12/05 09:58:01 - mmengine - INFO - Epoch(val) [7][5620/6282] eta: 0:00:33 time: 0.0431 data_time: 0.0020 memory: 1155 2022/12/05 09:58:02 - mmengine - INFO - Epoch(val) [7][5640/6282] eta: 0:00:32 time: 0.0421 data_time: 0.0019 memory: 1113 2022/12/05 09:58:02 - mmengine - INFO - Epoch(val) [7][5660/6282] eta: 0:00:31 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 09:58:03 - mmengine - INFO - Epoch(val) [7][5680/6282] eta: 0:00:30 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:58:04 - mmengine - INFO - Epoch(val) [7][5700/6282] eta: 0:00:29 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 09:58:05 - mmengine - INFO - Epoch(val) [7][5720/6282] eta: 0:00:28 time: 0.0443 data_time: 0.0020 memory: 1181 2022/12/05 09:58:06 - mmengine - INFO - Epoch(val) [7][5740/6282] eta: 0:00:27 time: 0.0470 data_time: 0.0021 memory: 1181 2022/12/05 09:58:07 - mmengine - INFO - Epoch(val) [7][5760/6282] eta: 0:00:26 time: 0.0473 data_time: 0.0021 memory: 1181 2022/12/05 09:58:08 - mmengine - INFO - Epoch(val) [7][5780/6282] eta: 0:00:25 time: 0.0471 data_time: 0.0020 memory: 1181 2022/12/05 09:58:09 - mmengine - INFO - Epoch(val) [7][5800/6282] eta: 0:00:24 time: 0.0473 data_time: 0.0021 memory: 1181 2022/12/05 09:58:10 - mmengine - INFO - Epoch(val) [7][5820/6282] eta: 0:00:23 time: 0.0461 data_time: 0.0021 memory: 1181 2022/12/05 09:58:11 - mmengine - INFO - Epoch(val) [7][5840/6282] eta: 0:00:22 time: 0.0450 data_time: 0.0021 memory: 1155 2022/12/05 09:58:11 - mmengine - INFO - Epoch(val) [7][5860/6282] eta: 0:00:21 time: 0.0449 data_time: 0.0020 memory: 1155 2022/12/05 09:58:12 - mmengine - INFO - Epoch(val) [7][5880/6282] eta: 0:00:20 time: 0.0449 data_time: 0.0020 memory: 1155 2022/12/05 09:58:13 - mmengine - INFO - Epoch(val) [7][5900/6282] eta: 0:00:19 time: 0.0453 data_time: 0.0021 memory: 1155 2022/12/05 09:58:14 - mmengine - INFO - Epoch(val) [7][5920/6282] eta: 0:00:18 time: 0.0431 data_time: 0.0020 memory: 1155 2022/12/05 09:58:15 - mmengine - INFO - Epoch(val) [7][5940/6282] eta: 0:00:17 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 09:58:16 - mmengine - INFO - Epoch(val) [7][5960/6282] eta: 0:00:16 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:58:17 - mmengine - INFO - Epoch(val) [7][5980/6282] eta: 0:00:15 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 09:58:18 - mmengine - INFO - Epoch(val) [7][6000/6282] eta: 0:00:14 time: 0.0509 data_time: 0.0022 memory: 1231 2022/12/05 09:58:19 - mmengine - INFO - Epoch(val) [7][6020/6282] eta: 0:00:13 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 09:58:20 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:12 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 09:58:21 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:11 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 09:58:22 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:10 time: 0.0547 data_time: 0.0026 memory: 1231 2022/12/05 09:58:23 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:09 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 09:58:24 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:08 time: 0.0544 data_time: 0.0024 memory: 1231 2022/12/05 09:58:25 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:07 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 09:58:26 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:06 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 09:58:27 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:05 time: 0.0554 data_time: 0.0022 memory: 1231 2022/12/05 09:58:29 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:04 time: 0.0539 data_time: 0.0021 memory: 1231 2022/12/05 09:58:30 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:03 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 09:58:31 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:02 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 09:58:32 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:01 time: 0.0537 data_time: 0.0020 memory: 1231 2022/12/05 09:58:33 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0535 data_time: 0.0019 memory: 1231 2022/12/05 10:03:51 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.3108 2022/12/05 10:03:51 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2022/12/05 10:03:54 - mmengine - INFO - The best checkpoint with 0.3108 mAP/mAP@0.5IOU at 7 epoch is saved to best_mAP/mAP@0.5IOU_epoch_7.pth. 2022/12/05 10:04:05 - mmengine - INFO - Epoch(train) [8][ 20/4451] lr: 3.0788e-02 eta: 1:50:12 time: 0.5386 data_time: 0.0429 memory: 16785 grad_norm: 0.1110 loss: 0.0147 recall@thr=0.5: 0.6802 prec@thr=0.5: 0.7965 recall@top3: 0.8682 prec@top3: 0.6047 recall@top5: 0.9535 prec@top5: 0.4093 loss_action_cls: 0.0147 2022/12/05 10:04:15 - mmengine - INFO - Epoch(train) [8][ 40/4451] lr: 3.0707e-02 eta: 1:50:02 time: 0.4974 data_time: 0.0112 memory: 16785 grad_norm: 0.1126 loss: 0.0162 recall@thr=0.5: 0.6953 prec@thr=0.5: 0.9167 recall@top3: 0.9271 prec@top3: 0.7187 recall@top5: 0.9844 prec@top5: 0.4687 loss_action_cls: 0.0162 2022/12/05 10:04:25 - mmengine - INFO - Epoch(train) [8][ 60/4451] lr: 3.0626e-02 eta: 1:49:52 time: 0.5061 data_time: 0.0108 memory: 16785 grad_norm: 0.1083 loss: 0.0168 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8704 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 0.9537 prec@top5: 0.4222 loss_action_cls: 0.0168 2022/12/05 10:04:35 - mmengine - INFO - Epoch(train) [8][ 80/4451] lr: 3.0544e-02 eta: 1:49:42 time: 0.4968 data_time: 0.0109 memory: 16785 grad_norm: 0.1139 loss: 0.0171 recall@thr=0.5: 0.6632 prec@thr=0.5: 0.7193 recall@top3: 0.7158 prec@top3: 0.6140 recall@top5: 0.8596 prec@top5: 0.4737 loss_action_cls: 0.0171 2022/12/05 10:04:45 - mmengine - INFO - Epoch(train) [8][ 100/4451] lr: 3.0463e-02 eta: 1:49:32 time: 0.4971 data_time: 0.0106 memory: 16785 grad_norm: 0.1143 loss: 0.0163 recall@thr=0.5: 0.7340 prec@thr=0.5: 0.7628 recall@top3: 0.7564 prec@top3: 0.7308 recall@top5: 0.9423 prec@top5: 0.5615 loss_action_cls: 0.0163 2022/12/05 10:04:55 - mmengine - INFO - Epoch(train) [8][ 120/4451] lr: 3.0382e-02 eta: 1:49:23 time: 0.4964 data_time: 0.0109 memory: 16785 grad_norm: 0.1133 loss: 0.0174 recall@thr=0.5: 0.6790 prec@thr=0.5: 0.7826 recall@top3: 0.8167 prec@top3: 0.6957 recall@top5: 0.8986 prec@top5: 0.4783 loss_action_cls: 0.0174 2022/12/05 10:05:05 - mmengine - INFO - Epoch(train) [8][ 140/4451] lr: 3.0301e-02 eta: 1:49:13 time: 0.4988 data_time: 0.0105 memory: 16785 grad_norm: 0.1154 loss: 0.0153 recall@thr=0.5: 0.6796 prec@thr=0.5: 0.7840 recall@top3: 0.7327 prec@top3: 0.6420 recall@top5: 0.9389 prec@top5: 0.5037 loss_action_cls: 0.0153 2022/12/05 10:05:15 - mmengine - INFO - Epoch(train) [8][ 160/4451] lr: 3.0220e-02 eta: 1:49:03 time: 0.4964 data_time: 0.0109 memory: 16785 grad_norm: 0.1177 loss: 0.0176 recall@thr=0.5: 0.5356 prec@thr=0.5: 0.6500 recall@top3: 0.7674 prec@top3: 0.5909 recall@top5: 0.9061 prec@top5: 0.4455 loss_action_cls: 0.0176 2022/12/05 10:05:25 - mmengine - INFO - Epoch(train) [8][ 180/4451] lr: 3.0139e-02 eta: 1:48:53 time: 0.4959 data_time: 0.0111 memory: 16785 grad_norm: 0.1198 loss: 0.0166 recall@thr=0.5: 0.4083 prec@thr=0.5: 0.7250 recall@top3: 0.7167 prec@top3: 0.6167 recall@top5: 0.8750 prec@top5: 0.4400 loss_action_cls: 0.0166 2022/12/05 10:05:34 - mmengine - INFO - Epoch(train) [8][ 200/4451] lr: 3.0058e-02 eta: 1:48:43 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1262 loss: 0.0176 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7193 recall@top3: 0.7105 prec@top3: 0.6140 recall@top5: 0.9123 prec@top5: 0.4632 loss_action_cls: 0.0176 2022/12/05 10:05:44 - mmengine - INFO - Epoch(train) [8][ 220/4451] lr: 2.9977e-02 eta: 1:48:33 time: 0.4964 data_time: 0.0111 memory: 16785 grad_norm: 0.1165 loss: 0.0156 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.8974 recall@top3: 0.9103 prec@top3: 0.5385 recall@top5: 1.0000 prec@top5: 0.3692 loss_action_cls: 0.0156 2022/12/05 10:05:54 - mmengine - INFO - Epoch(train) [8][ 240/4451] lr: 2.9896e-02 eta: 1:48:23 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1149 loss: 0.0186 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7778 recall@top3: 0.7870 prec@top3: 0.5370 recall@top5: 0.9722 prec@top5: 0.3889 loss_action_cls: 0.0186 2022/12/05 10:06:04 - mmengine - INFO - Epoch(train) [8][ 260/4451] lr: 2.9815e-02 eta: 1:48:13 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1125 loss: 0.0163 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6786 recall@top3: 0.9286 prec@top3: 0.7381 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0163 2022/12/05 10:06:14 - mmengine - INFO - Epoch(train) [8][ 280/4451] lr: 2.9735e-02 eta: 1:48:03 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1106 loss: 0.0143 recall@thr=0.5: 0.6467 prec@thr=0.5: 0.7267 recall@top3: 0.7400 prec@top3: 0.6667 recall@top5: 0.9800 prec@top5: 0.5040 loss_action_cls: 0.0143 2022/12/05 10:06:24 - mmengine - INFO - Epoch(train) [8][ 300/4451] lr: 2.9654e-02 eta: 1:47:53 time: 0.4971 data_time: 0.0109 memory: 16785 grad_norm: 0.1163 loss: 0.0161 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5714 recall@top3: 0.7262 prec@top3: 0.4524 recall@top5: 0.7857 prec@top5: 0.3000 loss_action_cls: 0.0161 2022/12/05 10:06:34 - mmengine - INFO - Epoch(train) [8][ 320/4451] lr: 2.9573e-02 eta: 1:47:43 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1145 loss: 0.0166 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.7917 recall@top3: 0.8646 prec@top3: 0.6667 recall@top5: 0.8958 prec@top5: 0.4125 loss_action_cls: 0.0166 2022/12/05 10:06:44 - mmengine - INFO - Epoch(train) [8][ 340/4451] lr: 2.9493e-02 eta: 1:47:34 time: 0.4957 data_time: 0.0112 memory: 16785 grad_norm: 0.1174 loss: 0.0166 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9167 recall@top3: 0.9077 prec@top3: 0.7857 recall@top5: 0.9881 prec@top5: 0.5214 loss_action_cls: 0.0166 2022/12/05 10:06:54 - mmengine - INFO - Epoch(train) [8][ 360/4451] lr: 2.9413e-02 eta: 1:47:24 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1175 loss: 0.0181 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.6667 recall@top3: 0.7551 prec@top3: 0.6087 recall@top5: 0.8957 prec@top5: 0.4522 loss_action_cls: 0.0181 2022/12/05 10:07:04 - mmengine - INFO - Epoch(train) [8][ 380/4451] lr: 2.9332e-02 eta: 1:47:14 time: 0.5062 data_time: 0.0113 memory: 16785 grad_norm: 0.1183 loss: 0.0167 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.8854 recall@top3: 0.8125 prec@top3: 0.4583 recall@top5: 0.8906 prec@top5: 0.3125 loss_action_cls: 0.0167 2022/12/05 10:07:14 - mmengine - INFO - Epoch(train) [8][ 400/4451] lr: 2.9252e-02 eta: 1:47:04 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1198 loss: 0.0171 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7464 recall@top3: 0.8551 prec@top3: 0.6667 recall@top5: 0.9891 prec@top5: 0.4783 loss_action_cls: 0.0171 2022/12/05 10:07:24 - mmengine - INFO - Epoch(train) [8][ 420/4451] lr: 2.9172e-02 eta: 1:46:54 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1149 loss: 0.0158 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8611 recall@top3: 0.9306 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0158 2022/12/05 10:07:34 - mmengine - INFO - Epoch(train) [8][ 440/4451] lr: 2.9091e-02 eta: 1:46:44 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1128 loss: 0.0179 recall@thr=0.5: 0.8210 prec@thr=0.5: 0.8086 recall@top3: 0.8056 prec@top3: 0.6296 recall@top5: 0.9321 prec@top5: 0.4593 loss_action_cls: 0.0179 2022/12/05 10:07:44 - mmengine - INFO - Epoch(train) [8][ 460/4451] lr: 2.9011e-02 eta: 1:46:34 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1202 loss: 0.0151 recall@thr=0.5: 0.7387 prec@thr=0.5: 0.8378 recall@top3: 0.8333 prec@top3: 0.6216 recall@top5: 0.9189 prec@top5: 0.4216 loss_action_cls: 0.0151 2022/12/05 10:07:54 - mmengine - INFO - Epoch(train) [8][ 480/4451] lr: 2.8931e-02 eta: 1:46:24 time: 0.5066 data_time: 0.0110 memory: 16785 grad_norm: 0.1166 loss: 0.0158 recall@thr=0.5: 0.4956 prec@thr=0.5: 0.5614 recall@top3: 0.7149 prec@top3: 0.5614 recall@top5: 0.8421 prec@top5: 0.4105 loss_action_cls: 0.0158 2022/12/05 10:08:04 - mmengine - INFO - Epoch(train) [8][ 500/4451] lr: 2.8851e-02 eta: 1:46:14 time: 0.4964 data_time: 0.0111 memory: 16785 grad_norm: 0.1174 loss: 0.0155 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6667 recall@top3: 0.8646 prec@top3: 0.4792 recall@top5: 1.0000 prec@top5: 0.3375 loss_action_cls: 0.0155 2022/12/05 10:08:14 - mmengine - INFO - Epoch(train) [8][ 520/4451] lr: 2.8771e-02 eta: 1:46:04 time: 0.4974 data_time: 0.0110 memory: 16785 grad_norm: 0.1176 loss: 0.0175 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6000 recall@top3: 0.7000 prec@top3: 0.4222 recall@top5: 0.8000 prec@top5: 0.3067 loss_action_cls: 0.0175 2022/12/05 10:08:24 - mmengine - INFO - Epoch(train) [8][ 540/4451] lr: 2.8692e-02 eta: 1:45:55 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1166 loss: 0.0162 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6667 recall@top3: 0.7708 prec@top3: 0.4375 recall@top5: 0.8750 prec@top5: 0.3125 loss_action_cls: 0.0162 2022/12/05 10:08:34 - mmengine - INFO - Epoch(train) [8][ 560/4451] lr: 2.8612e-02 eta: 1:45:45 time: 0.4983 data_time: 0.0110 memory: 16785 grad_norm: 0.1183 loss: 0.0174 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.9022 recall@top3: 0.9022 prec@top3: 0.7826 recall@top5: 1.0000 prec@top5: 0.5304 loss_action_cls: 0.0174 2022/12/05 10:08:44 - mmengine - INFO - Epoch(train) [8][ 580/4451] lr: 2.8532e-02 eta: 1:45:35 time: 0.4984 data_time: 0.0109 memory: 16785 grad_norm: 0.1169 loss: 0.0164 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7593 recall@top3: 0.8241 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3667 loss_action_cls: 0.0164 2022/12/05 10:08:54 - mmengine - INFO - Epoch(train) [8][ 600/4451] lr: 2.8452e-02 eta: 1:45:25 time: 0.4976 data_time: 0.0108 memory: 16785 grad_norm: 0.1137 loss: 0.0176 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0176 2022/12/05 10:09:04 - mmengine - INFO - Epoch(train) [8][ 620/4451] lr: 2.8373e-02 eta: 1:45:15 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1130 loss: 0.0173 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7407 recall@top3: 0.9630 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0173 2022/12/05 10:09:14 - mmengine - INFO - Epoch(train) [8][ 640/4451] lr: 2.8293e-02 eta: 1:45:05 time: 0.4963 data_time: 0.0111 memory: 16785 grad_norm: 0.1149 loss: 0.0152 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7889 recall@top3: 0.8444 prec@top3: 0.5778 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0152 2022/12/05 10:09:23 - mmengine - INFO - Epoch(train) [8][ 660/4451] lr: 2.8214e-02 eta: 1:44:55 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1103 loss: 0.0160 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.8704 recall@top3: 0.8611 prec@top3: 0.7778 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0160 2022/12/05 10:09:34 - mmengine - INFO - Epoch(train) [8][ 680/4451] lr: 2.8134e-02 eta: 1:44:45 time: 0.5095 data_time: 0.0106 memory: 16785 grad_norm: 0.1139 loss: 0.0162 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7667 recall@top3: 0.9167 prec@top3: 0.6167 recall@top5: 0.9417 prec@top5: 0.3800 loss_action_cls: 0.0162 2022/12/05 10:09:44 - mmengine - INFO - Epoch(train) [8][ 700/4451] lr: 2.8055e-02 eta: 1:44:35 time: 0.5037 data_time: 0.0108 memory: 16785 grad_norm: 0.1165 loss: 0.0161 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.8235 recall@top3: 0.9706 prec@top3: 0.5882 recall@top5: 0.9706 prec@top5: 0.3529 loss_action_cls: 0.0161 2022/12/05 10:09:54 - mmengine - INFO - Epoch(train) [8][ 720/4451] lr: 2.7976e-02 eta: 1:44:26 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1186 loss: 0.0154 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.9375 recall@top3: 0.9062 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0154 2022/12/05 10:10:04 - mmengine - INFO - Epoch(train) [8][ 740/4451] lr: 2.7897e-02 eta: 1:44:16 time: 0.4974 data_time: 0.0111 memory: 16785 grad_norm: 0.1115 loss: 0.0150 recall@thr=0.5: 0.8906 prec@thr=0.5: 0.8229 recall@top3: 0.8906 prec@top3: 0.6354 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0150 2022/12/05 10:10:14 - mmengine - INFO - Epoch(train) [8][ 760/4451] lr: 2.7818e-02 eta: 1:44:06 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1161 loss: 0.0172 recall@thr=0.5: 0.7679 prec@thr=0.5: 0.7440 recall@top3: 0.8780 prec@top3: 0.6310 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0172 2022/12/05 10:10:23 - mmengine - INFO - Epoch(train) [8][ 780/4451] lr: 2.7739e-02 eta: 1:43:56 time: 0.4962 data_time: 0.0109 memory: 16785 grad_norm: 0.1171 loss: 0.0163 recall@thr=0.5: 0.8292 prec@thr=0.5: 0.9333 recall@top3: 0.9208 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0163 2022/12/05 10:10:33 - mmengine - INFO - Epoch(train) [8][ 800/4451] lr: 2.7660e-02 eta: 1:43:46 time: 0.4964 data_time: 0.0111 memory: 16785 grad_norm: 0.1067 loss: 0.0153 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.7029 recall@top3: 0.8587 prec@top3: 0.5797 recall@top5: 0.9493 prec@top5: 0.4000 loss_action_cls: 0.0153 2022/12/05 10:10:43 - mmengine - INFO - Epoch(train) [8][ 820/4451] lr: 2.7581e-02 eta: 1:43:36 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1145 loss: 0.0164 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.8033 recall@top3: 0.8933 prec@top3: 0.7600 recall@top5: 0.9733 prec@top5: 0.5040 loss_action_cls: 0.0164 2022/12/05 10:10:53 - mmengine - INFO - Epoch(train) [8][ 840/4451] lr: 2.7502e-02 eta: 1:43:26 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1197 loss: 0.0163 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7982 recall@top3: 0.7851 prec@top3: 0.6667 recall@top5: 0.9035 prec@top5: 0.4526 loss_action_cls: 0.0163 2022/12/05 10:10:55 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 10:11:03 - mmengine - INFO - Epoch(train) [8][ 860/4451] lr: 2.7423e-02 eta: 1:43:16 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1155 loss: 0.0168 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.7593 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0168 2022/12/05 10:11:13 - mmengine - INFO - Epoch(train) [8][ 880/4451] lr: 2.7345e-02 eta: 1:43:06 time: 0.4961 data_time: 0.0108 memory: 16785 grad_norm: 0.1165 loss: 0.0159 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.6167 recall@top3: 0.8833 prec@top3: 0.5778 recall@top5: 0.9000 prec@top5: 0.3600 loss_action_cls: 0.0159 2022/12/05 10:11:23 - mmengine - INFO - Epoch(train) [8][ 900/4451] lr: 2.7266e-02 eta: 1:42:56 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1162 loss: 0.0184 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7149 recall@top3: 0.6535 prec@top3: 0.5439 recall@top5: 0.8465 prec@top5: 0.4526 loss_action_cls: 0.0184 2022/12/05 10:11:33 - mmengine - INFO - Epoch(train) [8][ 920/4451] lr: 2.7187e-02 eta: 1:42:46 time: 0.4962 data_time: 0.0106 memory: 16785 grad_norm: 0.1190 loss: 0.0169 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7368 recall@top3: 0.7456 prec@top3: 0.6140 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0169 2022/12/05 10:11:43 - mmengine - INFO - Epoch(train) [8][ 940/4451] lr: 2.7109e-02 eta: 1:42:36 time: 0.4961 data_time: 0.0114 memory: 16785 grad_norm: 0.1148 loss: 0.0170 recall@thr=0.5: 0.8007 prec@thr=0.5: 0.8696 recall@top3: 0.8935 prec@top3: 0.7971 recall@top5: 0.9478 prec@top5: 0.5304 loss_action_cls: 0.0170 2022/12/05 10:11:53 - mmengine - INFO - Epoch(train) [8][ 960/4451] lr: 2.7030e-02 eta: 1:42:27 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1133 loss: 0.0161 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.9804 recall@top3: 0.9804 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0161 2022/12/05 10:12:03 - mmengine - INFO - Epoch(train) [8][ 980/4451] lr: 2.6952e-02 eta: 1:42:17 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1171 loss: 0.0162 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8571 recall@top3: 0.7857 prec@top3: 0.4762 recall@top5: 1.0000 prec@top5: 0.3571 loss_action_cls: 0.0162 2022/12/05 10:12:13 - mmengine - INFO - Epoch(train) [8][1000/4451] lr: 2.6874e-02 eta: 1:42:07 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1150 loss: 0.0155 recall@thr=0.5: 0.8698 prec@thr=0.5: 0.9687 recall@top3: 0.8594 prec@top3: 0.7708 recall@top5: 0.9792 prec@top5: 0.5750 loss_action_cls: 0.0155 2022/12/05 10:12:23 - mmengine - INFO - Epoch(train) [8][1020/4451] lr: 2.6796e-02 eta: 1:41:57 time: 0.4975 data_time: 0.0119 memory: 16785 grad_norm: 0.1163 loss: 0.0163 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7937 recall@top3: 0.8333 prec@top3: 0.7302 recall@top5: 0.9286 prec@top5: 0.4857 loss_action_cls: 0.0163 2022/12/05 10:12:33 - mmengine - INFO - Epoch(train) [8][1040/4451] lr: 2.6718e-02 eta: 1:41:47 time: 0.4958 data_time: 0.0111 memory: 16785 grad_norm: 0.1169 loss: 0.0173 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.8646 recall@top3: 0.8250 prec@top3: 0.6875 recall@top5: 0.9875 prec@top5: 0.5375 loss_action_cls: 0.0173 2022/12/05 10:12:42 - mmengine - INFO - Epoch(train) [8][1060/4451] lr: 2.6640e-02 eta: 1:41:37 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1177 loss: 0.0152 recall@thr=0.5: 0.8373 prec@thr=0.5: 0.8056 recall@top3: 0.8333 prec@top3: 0.7302 recall@top5: 0.9405 prec@top5: 0.5143 loss_action_cls: 0.0152 2022/12/05 10:12:52 - mmengine - INFO - Epoch(train) [8][1080/4451] lr: 2.6562e-02 eta: 1:41:27 time: 0.4956 data_time: 0.0107 memory: 16785 grad_norm: 0.1168 loss: 0.0167 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8426 recall@top3: 0.7685 prec@top3: 0.6852 recall@top5: 0.9074 prec@top5: 0.5000 loss_action_cls: 0.0167 2022/12/05 10:13:02 - mmengine - INFO - Epoch(train) [8][1100/4451] lr: 2.6484e-02 eta: 1:41:17 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1085 loss: 0.0156 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.9222 recall@top3: 0.9667 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0156 2022/12/05 10:13:12 - mmengine - INFO - Epoch(train) [8][1120/4451] lr: 2.6406e-02 eta: 1:41:07 time: 0.4967 data_time: 0.0109 memory: 16785 grad_norm: 0.1249 loss: 0.0147 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7368 recall@top3: 0.8947 prec@top3: 0.5439 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0147 2022/12/05 10:13:22 - mmengine - INFO - Epoch(train) [8][1140/4451] lr: 2.6328e-02 eta: 1:40:57 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1139 loss: 0.0174 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7941 recall@top3: 0.8725 prec@top3: 0.7647 recall@top5: 0.9608 prec@top5: 0.5176 loss_action_cls: 0.0174 2022/12/05 10:13:32 - mmengine - INFO - Epoch(train) [8][1160/4451] lr: 2.6250e-02 eta: 1:40:47 time: 0.4958 data_time: 0.0114 memory: 16785 grad_norm: 0.1145 loss: 0.0162 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.8768 recall@top3: 0.8732 prec@top3: 0.5507 recall@top5: 0.9565 prec@top5: 0.3739 loss_action_cls: 0.0162 2022/12/05 10:13:42 - mmengine - INFO - Epoch(train) [8][1180/4451] lr: 2.6173e-02 eta: 1:40:37 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1141 loss: 0.0158 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8056 recall@top3: 0.8306 prec@top3: 0.6528 recall@top5: 0.9563 prec@top5: 0.4833 loss_action_cls: 0.0158 2022/12/05 10:13:52 - mmengine - INFO - Epoch(train) [8][1200/4451] lr: 2.6095e-02 eta: 1:40:28 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1208 loss: 0.0162 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.7396 recall@top3: 0.9271 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4000 loss_action_cls: 0.0162 2022/12/05 10:14:02 - mmengine - INFO - Epoch(train) [8][1220/4451] lr: 2.6018e-02 eta: 1:40:18 time: 0.4965 data_time: 0.0107 memory: 16785 grad_norm: 0.1170 loss: 0.0174 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8889 recall@top3: 0.9618 prec@top3: 0.7222 recall@top5: 0.9896 prec@top5: 0.4500 loss_action_cls: 0.0174 2022/12/05 10:14:12 - mmengine - INFO - Epoch(train) [8][1240/4451] lr: 2.5940e-02 eta: 1:40:08 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1134 loss: 0.0190 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.8368 recall@top3: 0.7396 prec@top3: 0.7222 recall@top5: 0.9896 prec@top5: 0.6000 loss_action_cls: 0.0190 2022/12/05 10:14:22 - mmengine - INFO - Epoch(train) [8][1260/4451] lr: 2.5863e-02 eta: 1:39:58 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1151 loss: 0.0185 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8070 recall@top3: 0.8860 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0185 2022/12/05 10:14:32 - mmengine - INFO - Epoch(train) [8][1280/4451] lr: 2.5786e-02 eta: 1:39:48 time: 0.4958 data_time: 0.0108 memory: 16785 grad_norm: 0.1196 loss: 0.0160 recall@thr=0.5: 0.6148 prec@thr=0.5: 0.7963 recall@top3: 0.7093 prec@top3: 0.5370 recall@top5: 0.8500 prec@top5: 0.4111 loss_action_cls: 0.0160 2022/12/05 10:14:42 - mmengine - INFO - Epoch(train) [8][1300/4451] lr: 2.5709e-02 eta: 1:39:38 time: 0.4979 data_time: 0.0111 memory: 16785 grad_norm: 0.1234 loss: 0.0162 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7727 recall@top3: 0.8030 prec@top3: 0.5758 recall@top5: 0.9053 prec@top5: 0.4000 loss_action_cls: 0.0162 2022/12/05 10:14:52 - mmengine - INFO - Epoch(train) [8][1320/4451] lr: 2.5632e-02 eta: 1:39:28 time: 0.4961 data_time: 0.0107 memory: 16785 grad_norm: 0.1182 loss: 0.0158 recall@thr=0.5: 0.8507 prec@thr=0.5: 0.8819 recall@top3: 0.8924 prec@top3: 0.8333 recall@top5: 0.9479 prec@top5: 0.5417 loss_action_cls: 0.0158 2022/12/05 10:15:01 - mmengine - INFO - Epoch(train) [8][1340/4451] lr: 2.5555e-02 eta: 1:39:18 time: 0.4957 data_time: 0.0108 memory: 16785 grad_norm: 0.1201 loss: 0.0187 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.6778 recall@top3: 0.8444 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4133 loss_action_cls: 0.0187 2022/12/05 10:15:11 - mmengine - INFO - Epoch(train) [8][1360/4451] lr: 2.5478e-02 eta: 1:39:08 time: 0.4975 data_time: 0.0121 memory: 16785 grad_norm: 0.1168 loss: 0.0161 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8444 recall@top3: 0.9444 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.3733 loss_action_cls: 0.0161 2022/12/05 10:15:21 - mmengine - INFO - Epoch(train) [8][1380/4451] lr: 2.5401e-02 eta: 1:38:58 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1137 loss: 0.0157 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.8704 recall@top3: 0.7500 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0157 2022/12/05 10:15:31 - mmengine - INFO - Epoch(train) [8][1400/4451] lr: 2.5324e-02 eta: 1:38:48 time: 0.5056 data_time: 0.0111 memory: 16785 grad_norm: 0.1214 loss: 0.0183 recall@thr=0.5: 0.3393 prec@thr=0.5: 0.4464 recall@top3: 0.5208 prec@top3: 0.4048 recall@top5: 0.6964 prec@top5: 0.3286 loss_action_cls: 0.0183 2022/12/05 10:15:41 - mmengine - INFO - Epoch(train) [8][1420/4451] lr: 2.5247e-02 eta: 1:38:38 time: 0.4983 data_time: 0.0122 memory: 16785 grad_norm: 0.1152 loss: 0.0155 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7937 recall@top3: 0.8651 prec@top3: 0.6508 recall@top5: 1.0000 prec@top5: 0.4476 loss_action_cls: 0.0155 2022/12/05 10:15:51 - mmengine - INFO - Epoch(train) [8][1440/4451] lr: 2.5171e-02 eta: 1:38:29 time: 0.4962 data_time: 0.0113 memory: 16785 grad_norm: 0.1141 loss: 0.0178 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.8090 recall@top3: 0.8486 prec@top3: 0.6111 recall@top5: 0.9833 prec@top5: 0.4500 loss_action_cls: 0.0178 2022/12/05 10:16:01 - mmengine - INFO - Epoch(train) [8][1460/4451] lr: 2.5094e-02 eta: 1:38:19 time: 0.4964 data_time: 0.0107 memory: 16785 grad_norm: 0.1144 loss: 0.0158 recall@thr=0.5: 0.6880 prec@thr=0.5: 0.8067 recall@top3: 0.7913 prec@top3: 0.6933 recall@top5: 0.8953 prec@top5: 0.4880 loss_action_cls: 0.0158 2022/12/05 10:16:11 - mmengine - INFO - Epoch(train) [8][1480/4451] lr: 2.5018e-02 eta: 1:38:09 time: 0.4972 data_time: 0.0106 memory: 16785 grad_norm: 0.1165 loss: 0.0151 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.6667 recall@top3: 0.7870 prec@top3: 0.5370 recall@top5: 0.9259 prec@top5: 0.4000 loss_action_cls: 0.0151 2022/12/05 10:16:21 - mmengine - INFO - Epoch(train) [8][1500/4451] lr: 2.4941e-02 eta: 1:37:59 time: 0.4965 data_time: 0.0113 memory: 16785 grad_norm: 0.1202 loss: 0.0172 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.8510 recall@top3: 0.8465 prec@top3: 0.7475 recall@top5: 0.9232 prec@top5: 0.5030 loss_action_cls: 0.0172 2022/12/05 10:16:31 - mmengine - INFO - Epoch(train) [8][1520/4451] lr: 2.4865e-02 eta: 1:37:49 time: 0.4969 data_time: 0.0108 memory: 16785 grad_norm: 0.1209 loss: 0.0171 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7898 recall@top3: 0.7963 prec@top3: 0.6296 recall@top5: 0.9352 prec@top5: 0.4556 loss_action_cls: 0.0171 2022/12/05 10:16:41 - mmengine - INFO - Epoch(train) [8][1540/4451] lr: 2.4789e-02 eta: 1:37:39 time: 0.4972 data_time: 0.0110 memory: 16785 grad_norm: 0.1204 loss: 0.0158 recall@thr=0.5: 0.7283 prec@thr=0.5: 0.7935 recall@top3: 0.9130 prec@top3: 0.7391 recall@top5: 0.9529 prec@top5: 0.4696 loss_action_cls: 0.0158 2022/12/05 10:16:51 - mmengine - INFO - Epoch(train) [8][1560/4451] lr: 2.4713e-02 eta: 1:37:29 time: 0.4964 data_time: 0.0111 memory: 16785 grad_norm: 0.1207 loss: 0.0179 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.5714 recall@top3: 0.7063 prec@top3: 0.4603 recall@top5: 0.8413 prec@top5: 0.3333 loss_action_cls: 0.0179 2022/12/05 10:17:01 - mmengine - INFO - Epoch(train) [8][1580/4451] lr: 2.4637e-02 eta: 1:37:19 time: 0.4974 data_time: 0.0107 memory: 16785 grad_norm: 0.1123 loss: 0.0157 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8043 recall@top3: 0.9275 prec@top3: 0.5942 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0157 2022/12/05 10:17:11 - mmengine - INFO - Epoch(train) [8][1600/4451] lr: 2.4561e-02 eta: 1:37:09 time: 0.4972 data_time: 0.0108 memory: 16785 grad_norm: 0.1156 loss: 0.0173 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8611 recall@top3: 0.7611 prec@top3: 0.7222 recall@top5: 0.9500 prec@top5: 0.5222 loss_action_cls: 0.0173 2022/12/05 10:17:21 - mmengine - INFO - Epoch(train) [8][1620/4451] lr: 2.4485e-02 eta: 1:36:59 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1197 loss: 0.0166 recall@thr=0.5: 0.8281 prec@thr=0.5: 0.8437 recall@top3: 0.8854 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0166 2022/12/05 10:17:31 - mmengine - INFO - Epoch(train) [8][1640/4451] lr: 2.4409e-02 eta: 1:36:49 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1162 loss: 0.0149 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8750 recall@top3: 0.8333 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4625 loss_action_cls: 0.0149 2022/12/05 10:17:41 - mmengine - INFO - Epoch(train) [8][1660/4451] lr: 2.4333e-02 eta: 1:36:40 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1154 loss: 0.0164 recall@thr=0.5: 0.8712 prec@thr=0.5: 0.9280 recall@top3: 0.9205 prec@top3: 0.8788 recall@top5: 1.0000 prec@top5: 0.5909 loss_action_cls: 0.0164 2022/12/05 10:17:51 - mmengine - INFO - Epoch(train) [8][1680/4451] lr: 2.4258e-02 eta: 1:36:30 time: 0.4974 data_time: 0.0106 memory: 16785 grad_norm: 0.1130 loss: 0.0160 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9333 recall@top3: 0.8944 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0160 2022/12/05 10:18:01 - mmengine - INFO - Epoch(train) [8][1700/4451] lr: 2.4182e-02 eta: 1:36:20 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1119 loss: 0.0141 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8056 recall@top3: 0.9111 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0141 2022/12/05 10:18:11 - mmengine - INFO - Epoch(train) [8][1720/4451] lr: 2.4106e-02 eta: 1:36:10 time: 0.4992 data_time: 0.0116 memory: 16785 grad_norm: 0.1206 loss: 0.0188 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7708 recall@top3: 0.8750 prec@top3: 0.6111 recall@top5: 0.9514 prec@top5: 0.4083 loss_action_cls: 0.0188 2022/12/05 10:18:21 - mmengine - INFO - Epoch(train) [8][1740/4451] lr: 2.4031e-02 eta: 1:36:00 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1204 loss: 0.0167 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6958 recall@top3: 0.8083 prec@top3: 0.6333 recall@top5: 0.8833 prec@top5: 0.4300 loss_action_cls: 0.0167 2022/12/05 10:18:30 - mmengine - INFO - Epoch(train) [8][1760/4451] lr: 2.3956e-02 eta: 1:35:50 time: 0.4970 data_time: 0.0111 memory: 16785 grad_norm: 0.1200 loss: 0.0158 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8725 recall@top3: 0.9706 prec@top3: 0.6078 recall@top5: 0.9853 prec@top5: 0.3765 loss_action_cls: 0.0158 2022/12/05 10:18:40 - mmengine - INFO - Epoch(train) [8][1780/4451] lr: 2.3880e-02 eta: 1:35:40 time: 0.4960 data_time: 0.0112 memory: 16785 grad_norm: 0.1183 loss: 0.0181 recall@thr=0.5: 0.8371 prec@thr=0.5: 0.9242 recall@top3: 0.8409 prec@top3: 0.8182 recall@top5: 0.9508 prec@top5: 0.5545 loss_action_cls: 0.0181 2022/12/05 10:18:50 - mmengine - INFO - Epoch(train) [8][1800/4451] lr: 2.3805e-02 eta: 1:35:30 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1116 loss: 0.0159 recall@thr=0.5: 0.7693 prec@thr=0.5: 0.8000 recall@top3: 0.8173 prec@top3: 0.6667 recall@top5: 0.9653 prec@top5: 0.4800 loss_action_cls: 0.0159 2022/12/05 10:19:00 - mmengine - INFO - Epoch(train) [8][1820/4451] lr: 2.3730e-02 eta: 1:35:20 time: 0.4963 data_time: 0.0114 memory: 16785 grad_norm: 0.1164 loss: 0.0170 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8182 recall@top3: 0.8598 prec@top3: 0.6667 recall@top5: 0.9091 prec@top5: 0.4273 loss_action_cls: 0.0170 2022/12/05 10:19:10 - mmengine - INFO - Epoch(train) [8][1840/4451] lr: 2.3655e-02 eta: 1:35:10 time: 0.5035 data_time: 0.0108 memory: 16785 grad_norm: 0.1182 loss: 0.0157 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8922 recall@top3: 0.9118 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0157 2022/12/05 10:19:12 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 10:19:20 - mmengine - INFO - Epoch(train) [8][1860/4451] lr: 2.3580e-02 eta: 1:35:00 time: 0.5033 data_time: 0.0110 memory: 16785 grad_norm: 0.1149 loss: 0.0150 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8556 recall@top3: 0.9444 prec@top3: 0.6444 recall@top5: 0.9778 prec@top5: 0.4000 loss_action_cls: 0.0150 2022/12/05 10:19:30 - mmengine - INFO - Epoch(train) [8][1880/4451] lr: 2.3505e-02 eta: 1:34:51 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1211 loss: 0.0171 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8148 recall@top3: 0.9352 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0171 2022/12/05 10:19:40 - mmengine - INFO - Epoch(train) [8][1900/4451] lr: 2.3430e-02 eta: 1:34:41 time: 0.4971 data_time: 0.0113 memory: 16785 grad_norm: 0.1228 loss: 0.0177 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7544 recall@top3: 0.8772 prec@top3: 0.6491 recall@top5: 0.9035 prec@top5: 0.4000 loss_action_cls: 0.0177 2022/12/05 10:19:50 - mmengine - INFO - Epoch(train) [8][1920/4451] lr: 2.3356e-02 eta: 1:34:31 time: 0.4969 data_time: 0.0107 memory: 16785 grad_norm: 0.1188 loss: 0.0178 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.7311 recall@top3: 0.8333 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.4909 loss_action_cls: 0.0178 2022/12/05 10:20:00 - mmengine - INFO - Epoch(train) [8][1940/4451] lr: 2.3281e-02 eta: 1:34:21 time: 0.4976 data_time: 0.0113 memory: 16785 grad_norm: 0.1174 loss: 0.0158 recall@thr=0.5: 0.6096 prec@thr=0.5: 0.8640 recall@top3: 0.7873 prec@top3: 0.5789 recall@top5: 0.9386 prec@top5: 0.4158 loss_action_cls: 0.0158 2022/12/05 10:20:10 - mmengine - INFO - Epoch(train) [8][1960/4451] lr: 2.3207e-02 eta: 1:34:11 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1150 loss: 0.0173 recall@thr=0.5: 0.4427 prec@thr=0.5: 0.7292 recall@top3: 0.6979 prec@top3: 0.6042 recall@top5: 0.9271 prec@top5: 0.4875 loss_action_cls: 0.0173 2022/12/05 10:20:20 - mmengine - INFO - Epoch(train) [8][1980/4451] lr: 2.3132e-02 eta: 1:34:01 time: 0.4973 data_time: 0.0109 memory: 16785 grad_norm: 0.1212 loss: 0.0179 recall@thr=0.5: 0.7978 prec@thr=0.5: 0.8913 recall@top3: 0.8920 prec@top3: 0.7101 recall@top5: 0.9601 prec@top5: 0.4783 loss_action_cls: 0.0179 2022/12/05 10:20:30 - mmengine - INFO - Epoch(train) [8][2000/4451] lr: 2.3058e-02 eta: 1:33:51 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1150 loss: 0.0170 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.7417 recall@top3: 0.7708 prec@top3: 0.6833 recall@top5: 0.8792 prec@top5: 0.4800 loss_action_cls: 0.0170 2022/12/05 10:20:40 - mmengine - INFO - Epoch(train) [8][2020/4451] lr: 2.2983e-02 eta: 1:33:41 time: 0.4965 data_time: 0.0113 memory: 16785 grad_norm: 0.1229 loss: 0.0167 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8772 recall@top3: 0.8772 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0167 2022/12/05 10:20:50 - mmengine - INFO - Epoch(train) [8][2040/4451] lr: 2.2909e-02 eta: 1:33:31 time: 0.4962 data_time: 0.0108 memory: 16785 grad_norm: 0.1199 loss: 0.0154 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7255 recall@top3: 0.7500 prec@top3: 0.5686 recall@top5: 0.8824 prec@top5: 0.4000 loss_action_cls: 0.0154 2022/12/05 10:21:00 - mmengine - INFO - Epoch(train) [8][2060/4451] lr: 2.2835e-02 eta: 1:33:21 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1221 loss: 0.0165 recall@thr=0.5: 0.7270 prec@thr=0.5: 0.7356 recall@top3: 0.7989 prec@top3: 0.6322 recall@top5: 0.9483 prec@top5: 0.4552 loss_action_cls: 0.0165 2022/12/05 10:21:10 - mmengine - INFO - Epoch(train) [8][2080/4451] lr: 2.2761e-02 eta: 1:33:11 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1180 loss: 0.0157 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8571 recall@top3: 0.8254 prec@top3: 0.6349 recall@top5: 0.9762 prec@top5: 0.4381 loss_action_cls: 0.0157 2022/12/05 10:21:20 - mmengine - INFO - Epoch(train) [8][2100/4451] lr: 2.2687e-02 eta: 1:33:01 time: 0.4963 data_time: 0.0113 memory: 16785 grad_norm: 0.1147 loss: 0.0151 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7667 recall@top3: 0.7967 prec@top3: 0.6533 recall@top5: 1.0000 prec@top5: 0.4640 loss_action_cls: 0.0151 2022/12/05 10:21:30 - mmengine - INFO - Epoch(train) [8][2120/4451] lr: 2.2613e-02 eta: 1:32:52 time: 0.4972 data_time: 0.0110 memory: 16785 grad_norm: 0.1154 loss: 0.0159 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8030 recall@top3: 0.9129 prec@top3: 0.6515 recall@top5: 0.9129 prec@top5: 0.3909 loss_action_cls: 0.0159 2022/12/05 10:21:40 - mmengine - INFO - Epoch(train) [8][2140/4451] lr: 2.2540e-02 eta: 1:32:42 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1112 loss: 0.0152 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7235 recall@top3: 0.7879 prec@top3: 0.6364 recall@top5: 0.9053 prec@top5: 0.4364 loss_action_cls: 0.0152 2022/12/05 10:21:49 - mmengine - INFO - Epoch(train) [8][2160/4451] lr: 2.2466e-02 eta: 1:32:32 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1196 loss: 0.0175 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8625 recall@top3: 0.8667 prec@top3: 0.7833 recall@top5: 0.9125 prec@top5: 0.5000 loss_action_cls: 0.0175 2022/12/05 10:21:59 - mmengine - INFO - Epoch(train) [8][2180/4451] lr: 2.2392e-02 eta: 1:32:22 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1178 loss: 0.0171 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7105 recall@top3: 0.7807 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4526 loss_action_cls: 0.0171 2022/12/05 10:22:09 - mmengine - INFO - Epoch(train) [8][2200/4451] lr: 2.2319e-02 eta: 1:32:12 time: 0.4966 data_time: 0.0113 memory: 16785 grad_norm: 0.1204 loss: 0.0156 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7843 recall@top3: 0.9314 prec@top3: 0.7059 recall@top5: 0.9608 prec@top5: 0.4353 loss_action_cls: 0.0156 2022/12/05 10:22:19 - mmengine - INFO - Epoch(train) [8][2220/4451] lr: 2.2245e-02 eta: 1:32:02 time: 0.4970 data_time: 0.0107 memory: 16785 grad_norm: 0.1177 loss: 0.0170 recall@thr=0.5: 0.5870 prec@thr=0.5: 0.6269 recall@top3: 0.7704 prec@top3: 0.5926 recall@top5: 0.8667 prec@top5: 0.4111 loss_action_cls: 0.0170 2022/12/05 10:22:29 - mmengine - INFO - Epoch(train) [8][2240/4451] lr: 2.2172e-02 eta: 1:31:52 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1188 loss: 0.0180 recall@thr=0.5: 0.7411 prec@thr=0.5: 0.8768 recall@top3: 0.7946 prec@top3: 0.6548 recall@top5: 0.9732 prec@top5: 0.5000 loss_action_cls: 0.0180 2022/12/05 10:22:39 - mmengine - INFO - Epoch(train) [8][2260/4451] lr: 2.2099e-02 eta: 1:31:42 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1156 loss: 0.0164 recall@thr=0.5: 0.6647 prec@thr=0.5: 0.7608 recall@top3: 0.8608 prec@top3: 0.6569 recall@top5: 0.9471 prec@top5: 0.4529 loss_action_cls: 0.0164 2022/12/05 10:22:49 - mmengine - INFO - Epoch(train) [8][2280/4451] lr: 2.2026e-02 eta: 1:31:32 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1149 loss: 0.0160 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.4804 recall@top3: 0.7745 prec@top3: 0.5686 recall@top5: 0.9608 prec@top5: 0.4353 loss_action_cls: 0.0160 2022/12/05 10:22:59 - mmengine - INFO - Epoch(train) [8][2300/4451] lr: 2.1952e-02 eta: 1:31:22 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1146 loss: 0.0165 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7652 recall@top3: 0.8159 prec@top3: 0.7273 recall@top5: 0.9439 prec@top5: 0.5273 loss_action_cls: 0.0165 2022/12/05 10:23:09 - mmengine - INFO - Epoch(train) [8][2320/4451] lr: 2.1879e-02 eta: 1:31:12 time: 0.4965 data_time: 0.0107 memory: 16785 grad_norm: 0.1139 loss: 0.0163 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8148 recall@top3: 0.9352 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0163 2022/12/05 10:23:19 - mmengine - INFO - Epoch(train) [8][2340/4451] lr: 2.1807e-02 eta: 1:31:02 time: 0.4964 data_time: 0.0113 memory: 16785 grad_norm: 0.1213 loss: 0.0156 recall@thr=0.5: 0.7754 prec@thr=0.5: 0.7319 recall@top3: 0.8188 prec@top3: 0.6667 recall@top5: 0.9565 prec@top5: 0.4609 loss_action_cls: 0.0156 2022/12/05 10:23:29 - mmengine - INFO - Epoch(train) [8][2360/4451] lr: 2.1734e-02 eta: 1:30:53 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1191 loss: 0.0159 recall@thr=0.5: 0.8321 prec@thr=0.5: 0.9359 recall@top3: 0.8455 prec@top3: 0.6667 recall@top5: 0.9462 prec@top5: 0.4769 loss_action_cls: 0.0159 2022/12/05 10:23:39 - mmengine - INFO - Epoch(train) [8][2380/4451] lr: 2.1661e-02 eta: 1:30:43 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1180 loss: 0.0169 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.8000 recall@top3: 0.8500 prec@top3: 0.5500 recall@top5: 0.9333 prec@top5: 0.3700 loss_action_cls: 0.0169 2022/12/05 10:23:49 - mmengine - INFO - Epoch(train) [8][2400/4451] lr: 2.1588e-02 eta: 1:30:33 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1198 loss: 0.0177 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.8712 recall@top3: 0.7841 prec@top3: 0.6061 recall@top5: 0.9356 prec@top5: 0.4636 loss_action_cls: 0.0177 2022/12/05 10:23:59 - mmengine - INFO - Epoch(train) [8][2420/4451] lr: 2.1516e-02 eta: 1:30:23 time: 0.4972 data_time: 0.0110 memory: 16785 grad_norm: 0.1189 loss: 0.0175 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6571 recall@top3: 0.7063 prec@top3: 0.6667 recall@top5: 0.9365 prec@top5: 0.5143 loss_action_cls: 0.0175 2022/12/05 10:24:09 - mmengine - INFO - Epoch(train) [8][2440/4451] lr: 2.1443e-02 eta: 1:30:13 time: 0.4971 data_time: 0.0114 memory: 16785 grad_norm: 0.1197 loss: 0.0164 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8509 recall@top3: 0.8509 prec@top3: 0.6842 recall@top5: 0.9605 prec@top5: 0.4842 loss_action_cls: 0.0164 2022/12/05 10:24:19 - mmengine - INFO - Epoch(train) [8][2460/4451] lr: 2.1371e-02 eta: 1:30:03 time: 0.4987 data_time: 0.0113 memory: 16785 grad_norm: 0.1183 loss: 0.0167 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8889 recall@top3: 0.8667 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3733 loss_action_cls: 0.0167 2022/12/05 10:24:29 - mmengine - INFO - Epoch(train) [8][2480/4451] lr: 2.1299e-02 eta: 1:29:53 time: 0.4972 data_time: 0.0113 memory: 16785 grad_norm: 0.1186 loss: 0.0162 recall@thr=0.5: 0.7109 prec@thr=0.5: 0.8159 recall@top3: 0.7949 prec@top3: 0.7391 recall@top5: 0.9674 prec@top5: 0.5652 loss_action_cls: 0.0162 2022/12/05 10:24:38 - mmengine - INFO - Epoch(train) [8][2500/4451] lr: 2.1226e-02 eta: 1:29:43 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1160 loss: 0.0166 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.5200 loss_action_cls: 0.0166 2022/12/05 10:24:48 - mmengine - INFO - Epoch(train) [8][2520/4451] lr: 2.1154e-02 eta: 1:29:33 time: 0.4970 data_time: 0.0115 memory: 16785 grad_norm: 0.1165 loss: 0.0175 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.7963 recall@top3: 0.8241 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0175 2022/12/05 10:24:58 - mmengine - INFO - Epoch(train) [8][2540/4451] lr: 2.1082e-02 eta: 1:29:23 time: 0.4962 data_time: 0.0110 memory: 16785 grad_norm: 0.1226 loss: 0.0156 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.9474 recall@top3: 0.8947 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0156 2022/12/05 10:25:08 - mmengine - INFO - Epoch(train) [8][2560/4451] lr: 2.1010e-02 eta: 1:29:13 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1171 loss: 0.0182 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8167 recall@top3: 0.9250 prec@top3: 0.8167 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0182 2022/12/05 10:25:18 - mmengine - INFO - Epoch(train) [8][2580/4451] lr: 2.0939e-02 eta: 1:29:04 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1210 loss: 0.0152 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9907 recall@top3: 0.8704 prec@top3: 0.6173 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0152 2022/12/05 10:25:28 - mmengine - INFO - Epoch(train) [8][2600/4451] lr: 2.0867e-02 eta: 1:28:54 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1203 loss: 0.0185 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.4792 recall@top5: 0.9271 prec@top5: 0.3250 loss_action_cls: 0.0185 2022/12/05 10:25:38 - mmengine - INFO - Epoch(train) [8][2620/4451] lr: 2.0795e-02 eta: 1:28:44 time: 0.4979 data_time: 0.0115 memory: 16785 grad_norm: 0.1120 loss: 0.0159 recall@thr=0.5: 0.8267 prec@thr=0.5: 0.9367 recall@top3: 0.9400 prec@top3: 0.7067 recall@top5: 1.0000 prec@top5: 0.4560 loss_action_cls: 0.0159 2022/12/05 10:25:48 - mmengine - INFO - Epoch(train) [8][2640/4451] lr: 2.0724e-02 eta: 1:28:34 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1159 loss: 0.0176 recall@thr=0.5: 0.9107 prec@thr=0.5: 0.8131 recall@top3: 0.8929 prec@top3: 0.8571 recall@top5: 0.9286 prec@top5: 0.5429 loss_action_cls: 0.0176 2022/12/05 10:25:58 - mmengine - INFO - Epoch(train) [8][2660/4451] lr: 2.0652e-02 eta: 1:28:24 time: 0.4978 data_time: 0.0112 memory: 16785 grad_norm: 0.1174 loss: 0.0159 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.7727 recall@top3: 0.9545 prec@top3: 0.5000 recall@top5: 0.9773 prec@top5: 0.3091 loss_action_cls: 0.0159 2022/12/05 10:26:08 - mmengine - INFO - Epoch(train) [8][2680/4451] lr: 2.0581e-02 eta: 1:28:14 time: 0.4958 data_time: 0.0113 memory: 16785 grad_norm: 0.1170 loss: 0.0152 recall@thr=0.5: 0.5875 prec@thr=0.5: 0.8167 recall@top3: 0.7042 prec@top3: 0.7000 recall@top5: 0.8917 prec@top5: 0.5300 loss_action_cls: 0.0152 2022/12/05 10:26:18 - mmengine - INFO - Epoch(train) [8][2700/4451] lr: 2.0509e-02 eta: 1:28:04 time: 0.4967 data_time: 0.0112 memory: 16785 grad_norm: 0.1153 loss: 0.0165 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7436 recall@top3: 0.7051 prec@top3: 0.5641 recall@top5: 0.7692 prec@top5: 0.3846 loss_action_cls: 0.0165 2022/12/05 10:26:28 - mmengine - INFO - Epoch(train) [8][2720/4451] lr: 2.0438e-02 eta: 1:27:54 time: 0.4975 data_time: 0.0112 memory: 16785 grad_norm: 0.1130 loss: 0.0150 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.9365 recall@top3: 0.8552 prec@top3: 0.7540 recall@top5: 0.9762 prec@top5: 0.5286 loss_action_cls: 0.0150 2022/12/05 10:26:38 - mmengine - INFO - Epoch(train) [8][2740/4451] lr: 2.0367e-02 eta: 1:27:44 time: 0.4978 data_time: 0.0110 memory: 16785 grad_norm: 0.1146 loss: 0.0163 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.7654 recall@top3: 0.7636 prec@top3: 0.5926 recall@top5: 0.9105 prec@top5: 0.4667 loss_action_cls: 0.0163 2022/12/05 10:26:48 - mmengine - INFO - Epoch(train) [8][2760/4451] lr: 2.0296e-02 eta: 1:27:34 time: 0.4974 data_time: 0.0108 memory: 16785 grad_norm: 0.1167 loss: 0.0156 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8235 recall@top3: 0.8824 prec@top3: 0.6078 recall@top5: 0.9608 prec@top5: 0.4000 loss_action_cls: 0.0156 2022/12/05 10:26:58 - mmengine - INFO - Epoch(train) [8][2780/4451] lr: 2.0225e-02 eta: 1:27:24 time: 0.4972 data_time: 0.0110 memory: 16785 grad_norm: 0.1192 loss: 0.0168 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7857 recall@top3: 0.8730 prec@top3: 0.6825 recall@top5: 0.9683 prec@top5: 0.4571 loss_action_cls: 0.0168 2022/12/05 10:27:08 - mmengine - INFO - Epoch(train) [8][2800/4451] lr: 2.0154e-02 eta: 1:27:14 time: 0.4965 data_time: 0.0114 memory: 16785 grad_norm: 0.1171 loss: 0.0167 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.8485 recall@top3: 0.9015 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0167 2022/12/05 10:27:18 - mmengine - INFO - Epoch(train) [8][2820/4451] lr: 2.0084e-02 eta: 1:27:05 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1169 loss: 0.0175 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7500 recall@top3: 0.9500 prec@top3: 0.5500 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0175 2022/12/05 10:27:27 - mmengine - INFO - Epoch(train) [8][2840/4451] lr: 2.0013e-02 eta: 1:26:55 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1197 loss: 0.0165 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.8472 recall@top3: 0.8426 prec@top3: 0.6481 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0165 2022/12/05 10:27:29 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 10:27:37 - mmengine - INFO - Epoch(train) [8][2860/4451] lr: 1.9942e-02 eta: 1:26:45 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1171 loss: 0.0178 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7632 recall@top3: 0.7982 prec@top3: 0.5263 recall@top5: 0.8158 prec@top5: 0.3263 loss_action_cls: 0.0178 2022/12/05 10:27:47 - mmengine - INFO - Epoch(train) [8][2880/4451] lr: 1.9872e-02 eta: 1:26:35 time: 0.4973 data_time: 0.0111 memory: 16785 grad_norm: 0.1160 loss: 0.0159 recall@thr=0.5: 0.7458 prec@thr=0.5: 0.7833 recall@top3: 0.8292 prec@top3: 0.7167 recall@top5: 0.9208 prec@top5: 0.4800 loss_action_cls: 0.0159 2022/12/05 10:27:57 - mmengine - INFO - Epoch(train) [8][2900/4451] lr: 1.9802e-02 eta: 1:26:25 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1230 loss: 0.0170 recall@thr=0.5: 0.6758 prec@thr=0.5: 0.7458 recall@top3: 0.8192 prec@top3: 0.7333 recall@top5: 0.9383 prec@top5: 0.5300 loss_action_cls: 0.0170 2022/12/05 10:28:07 - mmengine - INFO - Epoch(train) [8][2920/4451] lr: 1.9731e-02 eta: 1:26:15 time: 0.4974 data_time: 0.0112 memory: 16785 grad_norm: 0.1211 loss: 0.0161 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6798 recall@top3: 0.7738 prec@top3: 0.6429 recall@top5: 0.9643 prec@top5: 0.5000 loss_action_cls: 0.0161 2022/12/05 10:28:17 - mmengine - INFO - Epoch(train) [8][2940/4451] lr: 1.9661e-02 eta: 1:26:05 time: 0.4971 data_time: 0.0111 memory: 16785 grad_norm: 0.1124 loss: 0.0160 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8596 recall@top3: 0.8860 prec@top3: 0.6667 recall@top5: 0.9298 prec@top5: 0.4316 loss_action_cls: 0.0160 2022/12/05 10:28:27 - mmengine - INFO - Epoch(train) [8][2960/4451] lr: 1.9591e-02 eta: 1:25:55 time: 0.4975 data_time: 0.0114 memory: 16785 grad_norm: 0.1169 loss: 0.0148 recall@thr=0.5: 0.9089 prec@thr=0.5: 0.9556 recall@top3: 0.9400 prec@top3: 0.7111 recall@top5: 0.9867 prec@top5: 0.4667 loss_action_cls: 0.0148 2022/12/05 10:28:37 - mmengine - INFO - Epoch(train) [8][2980/4451] lr: 1.9521e-02 eta: 1:25:45 time: 0.4977 data_time: 0.0108 memory: 16785 grad_norm: 0.1232 loss: 0.0155 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.9000 recall@top3: 0.7417 prec@top3: 0.7167 recall@top5: 0.8833 prec@top5: 0.5200 loss_action_cls: 0.0155 2022/12/05 10:28:47 - mmengine - INFO - Epoch(train) [8][3000/4451] lr: 1.9451e-02 eta: 1:25:35 time: 0.4962 data_time: 0.0113 memory: 16785 grad_norm: 0.1194 loss: 0.0161 recall@thr=0.5: 0.7326 prec@thr=0.5: 0.9236 recall@top3: 0.8785 prec@top3: 0.7500 recall@top5: 0.9861 prec@top5: 0.5250 loss_action_cls: 0.0161 2022/12/05 10:28:57 - mmengine - INFO - Epoch(train) [8][3020/4451] lr: 1.9381e-02 eta: 1:25:25 time: 0.4960 data_time: 0.0110 memory: 16785 grad_norm: 0.1186 loss: 0.0161 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7353 recall@top3: 1.0000 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.3647 loss_action_cls: 0.0161 2022/12/05 10:29:07 - mmengine - INFO - Epoch(train) [8][3040/4451] lr: 1.9312e-02 eta: 1:25:15 time: 0.4967 data_time: 0.0114 memory: 16785 grad_norm: 0.1145 loss: 0.0173 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.7619 recall@top3: 0.8175 prec@top3: 0.6825 recall@top5: 0.9603 prec@top5: 0.4857 loss_action_cls: 0.0173 2022/12/05 10:29:17 - mmengine - INFO - Epoch(train) [8][3060/4451] lr: 1.9242e-02 eta: 1:25:06 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1220 loss: 0.0169 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7778 recall@top3: 0.6806 prec@top3: 0.4722 recall@top5: 0.7639 prec@top5: 0.3000 loss_action_cls: 0.0169 2022/12/05 10:29:27 - mmengine - INFO - Epoch(train) [8][3080/4451] lr: 1.9173e-02 eta: 1:24:56 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1185 loss: 0.0168 recall@thr=0.5: 0.7425 prec@thr=0.5: 0.8833 recall@top3: 0.8892 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5800 loss_action_cls: 0.0168 2022/12/05 10:29:37 - mmengine - INFO - Epoch(train) [8][3100/4451] lr: 1.9103e-02 eta: 1:24:46 time: 0.4965 data_time: 0.0104 memory: 16785 grad_norm: 0.1112 loss: 0.0149 recall@thr=0.5: 0.8600 prec@thr=0.5: 0.8800 recall@top3: 0.8933 prec@top3: 0.7200 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0149 2022/12/05 10:29:47 - mmengine - INFO - Epoch(train) [8][3120/4451] lr: 1.9034e-02 eta: 1:24:36 time: 0.4964 data_time: 0.0111 memory: 16785 grad_norm: 0.1170 loss: 0.0169 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8933 recall@top3: 0.9200 prec@top3: 0.6400 recall@top5: 0.9600 prec@top5: 0.4080 loss_action_cls: 0.0169 2022/12/05 10:29:57 - mmengine - INFO - Epoch(train) [8][3140/4451] lr: 1.8965e-02 eta: 1:24:26 time: 0.4974 data_time: 0.0116 memory: 16785 grad_norm: 0.1200 loss: 0.0180 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.8958 recall@top3: 0.8698 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0180 2022/12/05 10:30:07 - mmengine - INFO - Epoch(train) [8][3160/4451] lr: 1.8896e-02 eta: 1:24:16 time: 0.4967 data_time: 0.0110 memory: 16785 grad_norm: 0.1181 loss: 0.0163 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8571 recall@top3: 0.8333 prec@top3: 0.6825 recall@top5: 0.9762 prec@top5: 0.5143 loss_action_cls: 0.0163 2022/12/05 10:30:16 - mmengine - INFO - Epoch(train) [8][3180/4451] lr: 1.8826e-02 eta: 1:24:06 time: 0.4960 data_time: 0.0112 memory: 16785 grad_norm: 0.1174 loss: 0.0167 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.8417 recall@top3: 0.7208 prec@top3: 0.6167 recall@top5: 0.8417 prec@top5: 0.4500 loss_action_cls: 0.0167 2022/12/05 10:30:26 - mmengine - INFO - Epoch(train) [8][3200/4451] lr: 1.8758e-02 eta: 1:23:56 time: 0.4973 data_time: 0.0112 memory: 16785 grad_norm: 0.1244 loss: 0.0165 recall@thr=0.5: 0.8204 prec@thr=0.5: 0.8657 recall@top3: 0.8481 prec@top3: 0.6667 recall@top5: 0.9472 prec@top5: 0.4444 loss_action_cls: 0.0165 2022/12/05 10:30:36 - mmengine - INFO - Epoch(train) [8][3220/4451] lr: 1.8689e-02 eta: 1:23:46 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1238 loss: 0.0172 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8000 recall@top3: 0.8200 prec@top3: 0.4933 recall@top5: 0.8933 prec@top5: 0.3360 loss_action_cls: 0.0172 2022/12/05 10:30:46 - mmengine - INFO - Epoch(train) [8][3240/4451] lr: 1.8620e-02 eta: 1:23:36 time: 0.4962 data_time: 0.0109 memory: 16785 grad_norm: 0.1146 loss: 0.0172 recall@thr=0.5: 0.8567 prec@thr=0.5: 0.9600 recall@top3: 0.9000 prec@top3: 0.7600 recall@top5: 0.9600 prec@top5: 0.5040 loss_action_cls: 0.0172 2022/12/05 10:30:56 - mmengine - INFO - Epoch(train) [8][3260/4451] lr: 1.8551e-02 eta: 1:23:26 time: 0.4960 data_time: 0.0110 memory: 16785 grad_norm: 0.1213 loss: 0.0152 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7250 recall@top3: 0.8667 prec@top3: 0.4500 recall@top5: 0.9500 prec@top5: 0.3100 loss_action_cls: 0.0152 2022/12/05 10:31:06 - mmengine - INFO - Epoch(train) [8][3280/4451] lr: 1.8483e-02 eta: 1:23:16 time: 0.4965 data_time: 0.0115 memory: 16785 grad_norm: 0.1156 loss: 0.0163 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6917 recall@top3: 0.6750 prec@top3: 0.4833 recall@top5: 0.8667 prec@top5: 0.3600 loss_action_cls: 0.0163 2022/12/05 10:31:16 - mmengine - INFO - Epoch(train) [8][3300/4451] lr: 1.8414e-02 eta: 1:23:07 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1217 loss: 0.0159 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8500 recall@top3: 0.8750 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0159 2022/12/05 10:31:26 - mmengine - INFO - Epoch(train) [8][3320/4451] lr: 1.8346e-02 eta: 1:22:57 time: 0.4967 data_time: 0.0112 memory: 16785 grad_norm: 0.1119 loss: 0.0155 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6468 recall@top3: 0.7222 prec@top3: 0.6825 recall@top5: 0.9206 prec@top5: 0.5143 loss_action_cls: 0.0155 2022/12/05 10:31:36 - mmengine - INFO - Epoch(train) [8][3340/4451] lr: 1.8278e-02 eta: 1:22:47 time: 0.4954 data_time: 0.0110 memory: 16785 grad_norm: 0.1161 loss: 0.0173 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8519 recall@top3: 0.9167 prec@top3: 0.6111 recall@top5: 0.9861 prec@top5: 0.4111 loss_action_cls: 0.0173 2022/12/05 10:31:46 - mmengine - INFO - Epoch(train) [8][3360/4451] lr: 1.8210e-02 eta: 1:22:37 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1190 loss: 0.0162 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8125 recall@top3: 0.8472 prec@top3: 0.7222 recall@top5: 0.9583 prec@top5: 0.5167 loss_action_cls: 0.0162 2022/12/05 10:31:56 - mmengine - INFO - Epoch(train) [8][3380/4451] lr: 1.8142e-02 eta: 1:22:27 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1125 loss: 0.0153 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8111 recall@top3: 0.7889 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4533 loss_action_cls: 0.0153 2022/12/05 10:32:06 - mmengine - INFO - Epoch(train) [8][3400/4451] lr: 1.8074e-02 eta: 1:22:17 time: 0.4967 data_time: 0.0107 memory: 16785 grad_norm: 0.1199 loss: 0.0178 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.6574 recall@top3: 0.8194 prec@top3: 0.5370 recall@top5: 0.9861 prec@top5: 0.4222 loss_action_cls: 0.0178 2022/12/05 10:32:16 - mmengine - INFO - Epoch(train) [8][3420/4451] lr: 1.8006e-02 eta: 1:22:07 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1218 loss: 0.0151 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.7174 recall@top3: 0.7717 prec@top3: 0.5072 recall@top5: 0.9565 prec@top5: 0.3826 loss_action_cls: 0.0151 2022/12/05 10:32:26 - mmengine - INFO - Epoch(train) [8][3440/4451] lr: 1.7938e-02 eta: 1:21:57 time: 0.4968 data_time: 0.0109 memory: 16785 grad_norm: 0.1198 loss: 0.0139 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.8068 recall@top3: 0.9470 prec@top3: 0.6364 recall@top5: 0.9697 prec@top5: 0.3909 loss_action_cls: 0.0139 2022/12/05 10:32:35 - mmengine - INFO - Epoch(train) [8][3460/4451] lr: 1.7870e-02 eta: 1:21:47 time: 0.4962 data_time: 0.0109 memory: 16785 grad_norm: 0.1208 loss: 0.0161 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.8188 recall@top3: 0.9203 prec@top3: 0.6812 recall@top5: 0.9565 prec@top5: 0.4348 loss_action_cls: 0.0161 2022/12/05 10:32:45 - mmengine - INFO - Epoch(train) [8][3480/4451] lr: 1.7803e-02 eta: 1:21:37 time: 0.4969 data_time: 0.0108 memory: 16785 grad_norm: 0.1203 loss: 0.0161 recall@thr=0.5: 0.6264 prec@thr=0.5: 0.7356 recall@top3: 0.7615 prec@top3: 0.5747 recall@top5: 0.8966 prec@top5: 0.4000 loss_action_cls: 0.0161 2022/12/05 10:32:55 - mmengine - INFO - Epoch(train) [8][3500/4451] lr: 1.7735e-02 eta: 1:21:27 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1134 loss: 0.0166 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8704 recall@top3: 0.7778 prec@top3: 0.8333 recall@top5: 0.8611 prec@top5: 0.5667 loss_action_cls: 0.0166 2022/12/05 10:33:05 - mmengine - INFO - Epoch(train) [8][3520/4451] lr: 1.7668e-02 eta: 1:21:17 time: 0.4959 data_time: 0.0114 memory: 16785 grad_norm: 0.1152 loss: 0.0158 recall@thr=0.5: 0.8739 prec@thr=0.5: 0.8696 recall@top3: 0.9072 prec@top3: 0.7681 recall@top5: 0.9609 prec@top5: 0.5043 loss_action_cls: 0.0158 2022/12/05 10:33:15 - mmengine - INFO - Epoch(train) [8][3540/4451] lr: 1.7601e-02 eta: 1:21:07 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1146 loss: 0.0166 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.9259 recall@top3: 0.8889 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.4111 loss_action_cls: 0.0166 2022/12/05 10:33:25 - mmengine - INFO - Epoch(train) [8][3560/4451] lr: 1.7534e-02 eta: 1:20:58 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1197 loss: 0.0167 recall@thr=0.5: 0.8733 prec@thr=0.5: 0.8633 recall@top3: 0.8933 prec@top3: 0.6933 recall@top5: 0.9867 prec@top5: 0.4800 loss_action_cls: 0.0167 2022/12/05 10:33:35 - mmengine - INFO - Epoch(train) [8][3580/4451] lr: 1.7467e-02 eta: 1:20:48 time: 0.4989 data_time: 0.0124 memory: 16785 grad_norm: 0.1200 loss: 0.0152 recall@thr=0.5: 0.9056 prec@thr=0.5: 0.9139 recall@top3: 0.8944 prec@top3: 0.6778 recall@top5: 0.9833 prec@top5: 0.4600 loss_action_cls: 0.0152 2022/12/05 10:33:45 - mmengine - INFO - Epoch(train) [8][3600/4451] lr: 1.7400e-02 eta: 1:20:38 time: 0.4973 data_time: 0.0110 memory: 16785 grad_norm: 0.1138 loss: 0.0153 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8889 recall@top3: 0.9000 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0153 2022/12/05 10:33:55 - mmengine - INFO - Epoch(train) [8][3620/4451] lr: 1.7333e-02 eta: 1:20:28 time: 0.4971 data_time: 0.0113 memory: 16785 grad_norm: 0.1166 loss: 0.0169 recall@thr=0.5: 0.8067 prec@thr=0.5: 0.8533 recall@top3: 0.9067 prec@top3: 0.5733 recall@top5: 1.0000 prec@top5: 0.3920 loss_action_cls: 0.0169 2022/12/05 10:34:05 - mmengine - INFO - Epoch(train) [8][3640/4451] lr: 1.7266e-02 eta: 1:20:18 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1221 loss: 0.0166 recall@thr=0.5: 0.8508 prec@thr=0.5: 0.8864 recall@top3: 0.8689 prec@top3: 0.8030 recall@top5: 0.9909 prec@top5: 0.5727 loss_action_cls: 0.0166 2022/12/05 10:34:15 - mmengine - INFO - Epoch(train) [8][3660/4451] lr: 1.7199e-02 eta: 1:20:08 time: 0.4968 data_time: 0.0110 memory: 16785 grad_norm: 0.1173 loss: 0.0159 recall@thr=0.5: 0.8971 prec@thr=0.5: 0.9412 recall@top3: 0.9265 prec@top3: 0.5882 recall@top5: 0.9853 prec@top5: 0.3882 loss_action_cls: 0.0159 2022/12/05 10:34:25 - mmengine - INFO - Epoch(train) [8][3680/4451] lr: 1.7133e-02 eta: 1:19:58 time: 0.4964 data_time: 0.0109 memory: 16785 grad_norm: 0.1191 loss: 0.0163 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7059 recall@top3: 0.8137 prec@top3: 0.6078 recall@top5: 0.9069 prec@top5: 0.4118 loss_action_cls: 0.0163 2022/12/05 10:34:35 - mmengine - INFO - Epoch(train) [8][3700/4451] lr: 1.7066e-02 eta: 1:19:48 time: 0.4984 data_time: 0.0118 memory: 16785 grad_norm: 0.1248 loss: 0.0164 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.8214 recall@top3: 0.9048 prec@top3: 0.6984 recall@top5: 0.9524 prec@top5: 0.4476 loss_action_cls: 0.0164 2022/12/05 10:34:45 - mmengine - INFO - Epoch(train) [8][3720/4451] lr: 1.7000e-02 eta: 1:19:38 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1172 loss: 0.0164 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7639 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9352 prec@top5: 0.4667 loss_action_cls: 0.0164 2022/12/05 10:34:55 - mmengine - INFO - Epoch(train) [8][3740/4451] lr: 1.6934e-02 eta: 1:19:28 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1131 loss: 0.0161 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8258 recall@top3: 0.7273 prec@top3: 0.7576 recall@top5: 0.8864 prec@top5: 0.5636 loss_action_cls: 0.0161 2022/12/05 10:35:05 - mmengine - INFO - Epoch(train) [8][3760/4451] lr: 1.6868e-02 eta: 1:19:18 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1120 loss: 0.0166 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6333 recall@top3: 0.7417 prec@top3: 0.4500 recall@top5: 0.9167 prec@top5: 0.3200 loss_action_cls: 0.0166 2022/12/05 10:35:15 - mmengine - INFO - Epoch(train) [8][3780/4451] lr: 1.6802e-02 eta: 1:19:08 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1179 loss: 0.0164 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8421 recall@top3: 0.8333 prec@top3: 0.5965 recall@top5: 0.9474 prec@top5: 0.4316 loss_action_cls: 0.0164 2022/12/05 10:35:24 - mmengine - INFO - Epoch(train) [8][3800/4451] lr: 1.6736e-02 eta: 1:18:59 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1174 loss: 0.0167 recall@thr=0.5: 0.5451 prec@thr=0.5: 0.7083 recall@top3: 0.7778 prec@top3: 0.5833 recall@top5: 0.9028 prec@top5: 0.4333 loss_action_cls: 0.0167 2022/12/05 10:35:34 - mmengine - INFO - Epoch(train) [8][3820/4451] lr: 1.6670e-02 eta: 1:18:49 time: 0.4973 data_time: 0.0112 memory: 16785 grad_norm: 0.1191 loss: 0.0182 recall@thr=0.5: 0.3988 prec@thr=0.5: 0.4643 recall@top3: 0.7500 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.3857 loss_action_cls: 0.0182 2022/12/05 10:35:44 - mmengine - INFO - Epoch(train) [8][3840/4451] lr: 1.6604e-02 eta: 1:18:39 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1184 loss: 0.0178 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.6699 recall@top3: 0.7853 prec@top3: 0.5641 recall@top5: 0.9231 prec@top5: 0.4231 loss_action_cls: 0.0178 2022/12/05 10:35:46 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 10:35:54 - mmengine - INFO - Epoch(train) [8][3860/4451] lr: 1.6539e-02 eta: 1:18:29 time: 0.4970 data_time: 0.0108 memory: 16785 grad_norm: 0.1187 loss: 0.0164 recall@thr=0.5: 0.8389 prec@thr=0.5: 0.9667 recall@top3: 0.9833 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0164 2022/12/05 10:36:04 - mmengine - INFO - Epoch(train) [8][3880/4451] lr: 1.6473e-02 eta: 1:18:19 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1213 loss: 0.0164 recall@thr=0.5: 0.5038 prec@thr=0.5: 0.5227 recall@top3: 0.9129 prec@top3: 0.5758 recall@top5: 1.0000 prec@top5: 0.3909 loss_action_cls: 0.0164 2022/12/05 10:36:14 - mmengine - INFO - Epoch(train) [8][3900/4451] lr: 1.6408e-02 eta: 1:18:09 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1161 loss: 0.0160 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8413 recall@top3: 0.7937 prec@top3: 0.7143 recall@top5: 0.9603 prec@top5: 0.5333 loss_action_cls: 0.0160 2022/12/05 10:36:24 - mmengine - INFO - Epoch(train) [8][3920/4451] lr: 1.6342e-02 eta: 1:17:59 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1144 loss: 0.0145 recall@thr=0.5: 0.8536 prec@thr=0.5: 0.9239 recall@top3: 0.8493 prec@top3: 0.7391 recall@top5: 0.9601 prec@top5: 0.5304 loss_action_cls: 0.0145 2022/12/05 10:36:34 - mmengine - INFO - Epoch(train) [8][3940/4451] lr: 1.6277e-02 eta: 1:17:49 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1212 loss: 0.0176 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8036 recall@top3: 0.7143 prec@top3: 0.6905 recall@top5: 0.8333 prec@top5: 0.4857 loss_action_cls: 0.0176 2022/12/05 10:36:44 - mmengine - INFO - Epoch(train) [8][3960/4451] lr: 1.6212e-02 eta: 1:17:39 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1135 loss: 0.0169 recall@thr=0.5: 0.7067 prec@thr=0.5: 0.8000 recall@top3: 0.8067 prec@top3: 0.6400 recall@top5: 0.9267 prec@top5: 0.4640 loss_action_cls: 0.0169 2022/12/05 10:36:54 - mmengine - INFO - Epoch(train) [8][3980/4451] lr: 1.6147e-02 eta: 1:17:29 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1179 loss: 0.0161 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7843 recall@top3: 0.8922 prec@top3: 0.5294 recall@top5: 0.9412 prec@top5: 0.3412 loss_action_cls: 0.0161 2022/12/05 10:37:04 - mmengine - INFO - Epoch(train) [8][4000/4451] lr: 1.6082e-02 eta: 1:17:19 time: 0.4972 data_time: 0.0110 memory: 16785 grad_norm: 0.1178 loss: 0.0169 recall@thr=0.5: 0.6207 prec@thr=0.5: 0.6552 recall@top3: 0.8046 prec@top3: 0.7241 recall@top5: 0.8994 prec@top5: 0.4828 loss_action_cls: 0.0169 2022/12/05 10:37:14 - mmengine - INFO - Epoch(train) [8][4020/4451] lr: 1.6018e-02 eta: 1:17:09 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1169 loss: 0.0169 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7976 recall@top3: 0.8333 prec@top3: 0.4762 recall@top5: 0.9286 prec@top5: 0.3429 loss_action_cls: 0.0169 2022/12/05 10:37:24 - mmengine - INFO - Epoch(train) [8][4040/4451] lr: 1.5953e-02 eta: 1:17:00 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1206 loss: 0.0171 recall@thr=0.5: 0.7325 prec@thr=0.5: 0.7368 recall@top3: 0.8246 prec@top3: 0.5614 recall@top5: 0.9868 prec@top5: 0.4211 loss_action_cls: 0.0171 2022/12/05 10:37:34 - mmengine - INFO - Epoch(train) [8][4060/4451] lr: 1.5888e-02 eta: 1:16:50 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1172 loss: 0.0156 recall@thr=0.5: 0.7525 prec@thr=0.5: 0.7808 recall@top3: 0.8242 prec@top3: 0.7071 recall@top5: 0.9162 prec@top5: 0.4848 loss_action_cls: 0.0156 2022/12/05 10:37:44 - mmengine - INFO - Epoch(train) [8][4080/4451] lr: 1.5824e-02 eta: 1:16:40 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1145 loss: 0.0152 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.7870 recall@top3: 0.8426 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0152 2022/12/05 10:37:54 - mmengine - INFO - Epoch(train) [8][4100/4451] lr: 1.5760e-02 eta: 1:16:30 time: 0.4978 data_time: 0.0114 memory: 16785 grad_norm: 0.1228 loss: 0.0177 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6812 recall@top3: 0.7500 prec@top3: 0.5507 recall@top5: 0.9420 prec@top5: 0.4174 loss_action_cls: 0.0177 2022/12/05 10:38:03 - mmengine - INFO - Epoch(train) [8][4120/4451] lr: 1.5695e-02 eta: 1:16:20 time: 0.4961 data_time: 0.0107 memory: 16785 grad_norm: 0.1140 loss: 0.0176 recall@thr=0.5: 0.5307 prec@thr=0.5: 0.5702 recall@top3: 0.7500 prec@top3: 0.5614 recall@top5: 0.7895 prec@top5: 0.3579 loss_action_cls: 0.0176 2022/12/05 10:38:13 - mmengine - INFO - Epoch(train) [8][4140/4451] lr: 1.5631e-02 eta: 1:16:10 time: 0.4971 data_time: 0.0109 memory: 16785 grad_norm: 0.1209 loss: 0.0153 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.8225 recall@top3: 0.8370 prec@top3: 0.6377 recall@top5: 0.9891 prec@top5: 0.4783 loss_action_cls: 0.0153 2022/12/05 10:38:23 - mmengine - INFO - Epoch(train) [8][4160/4451] lr: 1.5567e-02 eta: 1:16:00 time: 0.4976 data_time: 0.0113 memory: 16785 grad_norm: 0.1206 loss: 0.0154 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7039 recall@top3: 0.8255 prec@top3: 0.6275 recall@top5: 0.8882 prec@top5: 0.4235 loss_action_cls: 0.0154 2022/12/05 10:38:33 - mmengine - INFO - Epoch(train) [8][4180/4451] lr: 1.5503e-02 eta: 1:15:50 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1113 loss: 0.0146 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7333 recall@top3: 0.9000 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4300 loss_action_cls: 0.0146 2022/12/05 10:38:43 - mmengine - INFO - Epoch(train) [8][4200/4451] lr: 1.5439e-02 eta: 1:15:40 time: 0.4970 data_time: 0.0118 memory: 16785 grad_norm: 0.1179 loss: 0.0154 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.6275 recall@top3: 0.7353 prec@top3: 0.5490 recall@top5: 0.8529 prec@top5: 0.3647 loss_action_cls: 0.0154 2022/12/05 10:38:53 - mmengine - INFO - Epoch(train) [8][4220/4451] lr: 1.5376e-02 eta: 1:15:30 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1182 loss: 0.0168 recall@thr=0.5: 0.7190 prec@thr=0.5: 0.7063 recall@top3: 0.8905 prec@top3: 0.6508 recall@top5: 0.9810 prec@top5: 0.4381 loss_action_cls: 0.0168 2022/12/05 10:39:03 - mmengine - INFO - Epoch(train) [8][4240/4451] lr: 1.5312e-02 eta: 1:15:20 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1210 loss: 0.0173 recall@thr=0.5: 0.6029 prec@thr=0.5: 0.6667 recall@top3: 0.8137 prec@top3: 0.6471 recall@top5: 0.8529 prec@top5: 0.4118 loss_action_cls: 0.0173 2022/12/05 10:39:13 - mmengine - INFO - Epoch(train) [8][4260/4451] lr: 1.5249e-02 eta: 1:15:10 time: 0.4974 data_time: 0.0113 memory: 16785 grad_norm: 0.1148 loss: 0.0161 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.7325 recall@top3: 0.9342 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0161 2022/12/05 10:39:23 - mmengine - INFO - Epoch(train) [8][4280/4451] lr: 1.5185e-02 eta: 1:15:01 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1236 loss: 0.0150 recall@thr=0.5: 0.8906 prec@thr=0.5: 0.9062 recall@top3: 0.8865 prec@top3: 0.6250 recall@top5: 0.9271 prec@top5: 0.4125 loss_action_cls: 0.0150 2022/12/05 10:39:33 - mmengine - INFO - Epoch(train) [8][4300/4451] lr: 1.5122e-02 eta: 1:14:51 time: 0.4976 data_time: 0.0110 memory: 16785 grad_norm: 0.1215 loss: 0.0175 recall@thr=0.5: 0.5307 prec@thr=0.5: 0.6400 recall@top3: 0.7413 prec@top3: 0.6667 recall@top5: 0.9000 prec@top5: 0.5040 loss_action_cls: 0.0175 2022/12/05 10:39:43 - mmengine - INFO - Epoch(train) [8][4320/4451] lr: 1.5059e-02 eta: 1:14:41 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1195 loss: 0.0165 recall@thr=0.5: 0.9035 prec@thr=0.5: 0.9649 recall@top3: 0.9474 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0165 2022/12/05 10:39:53 - mmengine - INFO - Epoch(train) [8][4340/4451] lr: 1.4996e-02 eta: 1:14:31 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1251 loss: 0.0152 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.7143 recall@top3: 0.7381 prec@top3: 0.5238 recall@top5: 0.8651 prec@top5: 0.3810 loss_action_cls: 0.0152 2022/12/05 10:40:03 - mmengine - INFO - Epoch(train) [8][4360/4451] lr: 1.4933e-02 eta: 1:14:21 time: 0.4961 data_time: 0.0111 memory: 16785 grad_norm: 0.1210 loss: 0.0162 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8704 recall@top3: 0.8750 prec@top3: 0.7222 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0162 2022/12/05 10:40:13 - mmengine - INFO - Epoch(train) [8][4380/4451] lr: 1.4870e-02 eta: 1:14:11 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1181 loss: 0.0166 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8333 recall@top3: 0.8250 prec@top3: 0.6333 recall@top5: 0.9417 prec@top5: 0.4400 loss_action_cls: 0.0166 2022/12/05 10:40:23 - mmengine - INFO - Epoch(train) [8][4400/4451] lr: 1.4807e-02 eta: 1:14:01 time: 0.4969 data_time: 0.0115 memory: 16785 grad_norm: 0.1177 loss: 0.0148 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.7531 recall@top3: 0.9444 prec@top3: 0.6914 recall@top5: 0.9444 prec@top5: 0.4148 loss_action_cls: 0.0148 2022/12/05 10:40:33 - mmengine - INFO - Epoch(train) [8][4420/4451] lr: 1.4745e-02 eta: 1:13:51 time: 0.4967 data_time: 0.0112 memory: 16785 grad_norm: 0.1179 loss: 0.0170 recall@thr=0.5: 0.8639 prec@thr=0.5: 0.9352 recall@top3: 0.8852 prec@top3: 0.6667 recall@top5: 0.9815 prec@top5: 0.4778 loss_action_cls: 0.0170 2022/12/05 10:40:42 - mmengine - INFO - Epoch(train) [8][4440/4451] lr: 1.4682e-02 eta: 1:13:41 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1186 loss: 0.0153 recall@thr=0.5: 0.6920 prec@thr=0.5: 0.7536 recall@top3: 0.7826 prec@top3: 0.6522 recall@top5: 0.9855 prec@top5: 0.5217 loss_action_cls: 0.0153 2022/12/05 10:40:48 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 10:40:48 - mmengine - INFO - Epoch(train) [8][4451/4451] lr: 1.4648e-02 eta: 1:13:36 time: 0.4912 data_time: 0.0112 memory: 16785 grad_norm: 0.1176 loss: 0.0153 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.9091 recall@top3: 0.9545 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.3818 loss_action_cls: 0.0153 2022/12/05 10:40:48 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/12/05 10:40:52 - mmengine - INFO - Epoch(val) [8][ 20/6282] eta: 0:04:44 time: 0.0454 data_time: 0.0076 memory: 1088 2022/12/05 10:40:53 - mmengine - INFO - Epoch(val) [8][ 40/6282] eta: 0:04:20 time: 0.0381 data_time: 0.0019 memory: 1088 2022/12/05 10:40:54 - mmengine - INFO - Epoch(val) [8][ 60/6282] eta: 0:04:11 time: 0.0379 data_time: 0.0018 memory: 1088 2022/12/05 10:40:55 - mmengine - INFO - Epoch(val) [8][ 80/6282] eta: 0:04:07 time: 0.0380 data_time: 0.0020 memory: 1088 2022/12/05 10:40:55 - mmengine - INFO - Epoch(val) [8][ 100/6282] eta: 0:04:04 time: 0.0381 data_time: 0.0020 memory: 1088 2022/12/05 10:40:56 - mmengine - INFO - Epoch(val) [8][ 120/6282] eta: 0:04:12 time: 0.0483 data_time: 0.0021 memory: 1231 2022/12/05 10:40:58 - mmengine - INFO - Epoch(val) [8][ 140/6282] eta: 0:04:23 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 10:40:59 - mmengine - INFO - Epoch(val) [8][ 160/6282] eta: 0:04:31 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 10:41:00 - mmengine - INFO - Epoch(val) [8][ 180/6282] eta: 0:04:36 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 10:41:01 - mmengine - INFO - Epoch(val) [8][ 200/6282] eta: 0:04:40 time: 0.0528 data_time: 0.0023 memory: 1231 2022/12/05 10:41:02 - mmengine - INFO - Epoch(val) [8][ 220/6282] eta: 0:04:37 time: 0.0427 data_time: 0.0021 memory: 1113 2022/12/05 10:41:02 - mmengine - INFO - Epoch(val) [8][ 240/6282] eta: 0:04:35 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 10:41:03 - mmengine - INFO - Epoch(val) [8][ 260/6282] eta: 0:04:32 time: 0.0425 data_time: 0.0021 memory: 1113 2022/12/05 10:41:04 - mmengine - INFO - Epoch(val) [8][ 280/6282] eta: 0:04:30 time: 0.0424 data_time: 0.0022 memory: 1113 2022/12/05 10:41:05 - mmengine - INFO - Epoch(val) [8][ 300/6282] eta: 0:04:30 time: 0.0480 data_time: 0.0023 memory: 1231 2022/12/05 10:41:06 - mmengine - INFO - Epoch(val) [8][ 320/6282] eta: 0:04:33 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 10:41:07 - mmengine - INFO - Epoch(val) [8][ 340/6282] eta: 0:04:35 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 10:41:08 - mmengine - INFO - Epoch(val) [8][ 360/6282] eta: 0:04:36 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 10:41:09 - mmengine - INFO - Epoch(val) [8][ 380/6282] eta: 0:04:38 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 10:41:10 - mmengine - INFO - Epoch(val) [8][ 400/6282] eta: 0:04:37 time: 0.0481 data_time: 0.0021 memory: 1231 2022/12/05 10:41:11 - mmengine - INFO - Epoch(val) [8][ 420/6282] eta: 0:04:35 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 10:41:12 - mmengine - INFO - Epoch(val) [8][ 440/6282] eta: 0:04:33 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 10:41:13 - mmengine - INFO - Epoch(val) [8][ 460/6282] eta: 0:04:30 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 10:41:14 - mmengine - INFO - Epoch(val) [8][ 480/6282] eta: 0:04:28 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 10:41:15 - mmengine - INFO - Epoch(val) [8][ 500/6282] eta: 0:04:27 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 10:41:16 - mmengine - INFO - Epoch(val) [8][ 520/6282] eta: 0:04:25 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 10:41:16 - mmengine - INFO - Epoch(val) [8][ 540/6282] eta: 0:04:23 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 10:41:17 - mmengine - INFO - Epoch(val) [8][ 560/6282] eta: 0:04:21 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 10:41:18 - mmengine - INFO - Epoch(val) [8][ 580/6282] eta: 0:04:20 time: 0.0425 data_time: 0.0023 memory: 1113 2022/12/05 10:41:19 - mmengine - INFO - Epoch(val) [8][ 600/6282] eta: 0:04:18 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 10:41:20 - mmengine - INFO - Epoch(val) [8][ 620/6282] eta: 0:04:17 time: 0.0416 data_time: 0.0021 memory: 1113 2022/12/05 10:41:21 - mmengine - INFO - Epoch(val) [8][ 640/6282] eta: 0:04:15 time: 0.0419 data_time: 0.0022 memory: 1105 2022/12/05 10:41:21 - mmengine - INFO - Epoch(val) [8][ 660/6282] eta: 0:04:13 time: 0.0415 data_time: 0.0023 memory: 1105 2022/12/05 10:41:22 - mmengine - INFO - Epoch(val) [8][ 680/6282] eta: 0:04:12 time: 0.0420 data_time: 0.0029 memory: 1105 2022/12/05 10:41:23 - mmengine - INFO - Epoch(val) [8][ 700/6282] eta: 0:04:11 time: 0.0418 data_time: 0.0025 memory: 1105 2022/12/05 10:41:24 - mmengine - INFO - Epoch(val) [8][ 720/6282] eta: 0:04:13 time: 0.0650 data_time: 0.0155 memory: 1231 2022/12/05 10:41:26 - mmengine - INFO - Epoch(val) [8][ 740/6282] eta: 0:04:19 time: 0.0924 data_time: 0.0395 memory: 1231 2022/12/05 10:41:28 - mmengine - INFO - Epoch(val) [8][ 760/6282] eta: 0:04:22 time: 0.0752 data_time: 0.0231 memory: 1231 2022/12/05 10:41:29 - mmengine - INFO - Epoch(val) [8][ 780/6282] eta: 0:04:22 time: 0.0542 data_time: 0.0025 memory: 1231 2022/12/05 10:41:30 - mmengine - INFO - Epoch(val) [8][ 800/6282] eta: 0:04:22 time: 0.0539 data_time: 0.0024 memory: 1231 2022/12/05 10:41:31 - mmengine - INFO - Epoch(val) [8][ 820/6282] eta: 0:04:21 time: 0.0474 data_time: 0.0020 memory: 1231 2022/12/05 10:41:32 - mmengine - INFO - Epoch(val) [8][ 840/6282] eta: 0:04:19 time: 0.0425 data_time: 0.0022 memory: 1113 2022/12/05 10:41:33 - mmengine - INFO - Epoch(val) [8][ 860/6282] eta: 0:04:18 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 10:41:33 - mmengine - INFO - Epoch(val) [8][ 880/6282] eta: 0:04:16 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 10:41:34 - mmengine - INFO - Epoch(val) [8][ 900/6282] eta: 0:04:14 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 10:41:35 - mmengine - INFO - Epoch(val) [8][ 920/6282] eta: 0:04:13 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 10:41:36 - mmengine - INFO - Epoch(val) [8][ 940/6282] eta: 0:04:11 time: 0.0380 data_time: 0.0020 memory: 1088 2022/12/05 10:41:37 - mmengine - INFO - Epoch(val) [8][ 960/6282] eta: 0:04:09 time: 0.0379 data_time: 0.0019 memory: 1088 2022/12/05 10:41:37 - mmengine - INFO - Epoch(val) [8][ 980/6282] eta: 0:04:07 time: 0.0380 data_time: 0.0020 memory: 1088 2022/12/05 10:41:38 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:04:05 time: 0.0378 data_time: 0.0019 memory: 1088 2022/12/05 10:41:39 - mmengine - INFO 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eta: 0:04:03 time: 0.0788 data_time: 0.0264 memory: 1231 2022/12/05 10:41:59 - mmengine - INFO - Epoch(val) [8][1360/6282] eta: 0:04:04 time: 0.0849 data_time: 0.0327 memory: 1231 2022/12/05 10:42:01 - mmengine - INFO - Epoch(val) [8][1380/6282] eta: 0:04:05 time: 0.0712 data_time: 0.0191 memory: 1231 2022/12/05 10:42:02 - mmengine - INFO - Epoch(val) [8][1400/6282] eta: 0:04:04 time: 0.0597 data_time: 0.0081 memory: 1231 2022/12/05 10:42:03 - mmengine - INFO - Epoch(val) [8][1420/6282] eta: 0:04:04 time: 0.0538 data_time: 0.0021 memory: 1231 2022/12/05 10:42:04 - mmengine - INFO - Epoch(val) [8][1440/6282] eta: 0:04:03 time: 0.0541 data_time: 0.0022 memory: 1231 2022/12/05 10:42:05 - mmengine - INFO - Epoch(val) [8][1460/6282] eta: 0:04:02 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 10:42:06 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:04:01 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 10:42:07 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:04:01 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 10:42:08 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:04:00 time: 0.0545 data_time: 0.0021 memory: 1404 2022/12/05 10:42:10 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:04:00 time: 0.0690 data_time: 0.0028 memory: 1404 2022/12/05 10:42:11 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:04:00 time: 0.0688 data_time: 0.0027 memory: 1404 2022/12/05 10:42:13 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:04:00 time: 0.0690 data_time: 0.0027 memory: 1404 2022/12/05 10:42:14 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:04:00 time: 0.0686 data_time: 0.0027 memory: 1404 2022/12/05 10:42:15 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:04:00 time: 0.0687 data_time: 0.0028 memory: 1404 2022/12/05 10:42:16 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:03:59 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 10:42:18 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:03:58 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 10:42:19 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:03:57 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 10:42:20 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:03:56 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 10:42:21 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:03:55 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 10:42:22 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:03:55 time: 0.0552 data_time: 0.0024 memory: 1231 2022/12/05 10:42:23 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:03:54 time: 0.0542 data_time: 0.0025 memory: 1231 2022/12/05 10:42:24 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:03:53 time: 0.0543 data_time: 0.0028 memory: 1231 2022/12/05 10:42:25 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:03:52 time: 0.0551 data_time: 0.0026 memory: 1231 2022/12/05 10:42:26 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:03:51 time: 0.0550 data_time: 0.0024 memory: 1231 2022/12/05 10:42:27 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:03:50 time: 0.0568 data_time: 0.0027 memory: 1231 2022/12/05 10:42:29 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:03:50 time: 0.0714 data_time: 0.0189 memory: 1231 2022/12/05 10:42:30 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:03:50 time: 0.0783 data_time: 0.0252 memory: 1231 2022/12/05 10:42:32 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:03:51 time: 0.0958 data_time: 0.0432 memory: 1231 2022/12/05 10:42:33 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:03:50 time: 0.0545 data_time: 0.0026 memory: 1231 2022/12/05 10:42:34 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:03:49 time: 0.0508 data_time: 0.0021 memory: 1231 2022/12/05 10:42:35 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:03:48 time: 0.0427 data_time: 0.0021 memory: 1122 2022/12/05 10:42:36 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:03:46 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 10:42:37 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:03:45 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:42:38 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:03:43 time: 0.0422 data_time: 0.0019 memory: 1122 2022/12/05 10:42:39 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:03:42 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:42:40 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:03:40 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:42:40 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:03:39 time: 0.0423 data_time: 0.0021 memory: 1122 2022/12/05 10:42:41 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:03:37 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:42:42 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:03:36 time: 0.0428 data_time: 0.0021 memory: 1122 2022/12/05 10:42:43 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:03:34 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 10:42:44 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:03:33 time: 0.0425 data_time: 0.0020 memory: 1113 2022/12/05 10:42:45 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:03:32 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 10:42:46 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:03:30 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 10:42:46 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:03:29 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 10:42:47 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:03:28 time: 0.0428 data_time: 0.0021 memory: 1113 2022/12/05 10:42:48 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:03:26 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 10:42:49 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:03:25 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 10:42:50 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:03:24 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 10:42:51 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:03:22 time: 0.0426 data_time: 0.0021 memory: 1122 2022/12/05 10:42:51 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:03:21 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:42:52 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:03:20 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 10:42:53 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:03:18 time: 0.0424 data_time: 0.0020 memory: 1113 2022/12/05 10:42:54 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:03:17 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 10:42:55 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:03:16 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 10:42:56 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:03:14 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 10:42:57 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:03:13 time: 0.0539 data_time: 0.0025 memory: 1231 2022/12/05 10:42:58 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:03:13 time: 0.0546 data_time: 0.0026 memory: 1231 2022/12/05 10:42:59 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:03:12 time: 0.0546 data_time: 0.0024 memory: 1231 2022/12/05 10:43:00 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:03:11 time: 0.0552 data_time: 0.0027 memory: 1231 2022/12/05 10:43:01 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:03:10 time: 0.0557 data_time: 0.0026 memory: 1231 2022/12/05 10:43:03 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:03:09 time: 0.0692 data_time: 0.0159 memory: 1231 2022/12/05 10:43:04 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:03:09 time: 0.0886 data_time: 0.0362 memory: 1231 2022/12/05 10:43:06 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:03:09 time: 0.0788 data_time: 0.0266 memory: 1231 2022/12/05 10:43:08 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:03:09 time: 0.0796 data_time: 0.0276 memory: 1231 2022/12/05 10:43:09 - mmengine - INFO - Epoch(val) 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eta: 0:03:01 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:43:19 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:03:00 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 10:43:20 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:02:58 time: 0.0429 data_time: 0.0022 memory: 1122 2022/12/05 10:43:21 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:02:57 time: 0.0509 data_time: 0.0024 memory: 1231 2022/12/05 10:43:22 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:02:56 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 10:43:23 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:02:55 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 10:43:24 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:02:54 time: 0.0482 data_time: 0.0021 memory: 1231 2022/12/05 10:43:25 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:02:53 time: 0.0463 data_time: 0.0021 memory: 1170 2022/12/05 10:43:26 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:02:52 time: 0.0465 data_time: 0.0021 memory: 1170 2022/12/05 10:43:27 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:02:51 time: 0.0464 data_time: 0.0023 memory: 1170 2022/12/05 10:43:28 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:02:50 time: 0.0461 data_time: 0.0020 memory: 1170 2022/12/05 10:43:29 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:02:49 time: 0.0531 data_time: 0.0021 memory: 1231 2022/12/05 10:43:30 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:02:48 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 10:43:31 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:02:47 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 10:43:32 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:02:46 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 10:43:33 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:02:44 time: 0.0483 data_time: 0.0023 memory: 1231 2022/12/05 10:43:34 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:02:43 time: 0.0420 data_time: 0.0018 memory: 1122 2022/12/05 10:43:34 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:02:42 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 10:43:35 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:02:41 time: 0.0427 data_time: 0.0021 memory: 1122 2022/12/05 10:43:36 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:02:40 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 10:43:37 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:02:39 time: 0.0508 data_time: 0.0024 memory: 1231 2022/12/05 10:43:38 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:02:38 time: 0.0547 data_time: 0.0024 memory: 1231 2022/12/05 10:43:39 - mmengine - INFO - Epoch(val) [8][3240/6282] eta: 0:02:37 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 10:43:40 - mmengine - INFO - Epoch(val) [8][3260/6282] eta: 0:02:36 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 10:43:42 - mmengine - INFO - Epoch(val) [8][3280/6282] eta: 0:02:35 time: 0.0553 data_time: 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10:43:57 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:02:16 time: 0.0483 data_time: 0.0022 memory: 1197 2022/12/05 10:43:58 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:02:15 time: 0.0483 data_time: 0.0023 memory: 1197 2022/12/05 10:43:59 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:14 time: 0.0483 data_time: 0.0023 memory: 1197 2022/12/05 10:44:00 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:02:13 time: 0.0509 data_time: 0.0023 memory: 1231 2022/12/05 10:44:02 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:02:12 time: 0.0545 data_time: 0.0026 memory: 1231 2022/12/05 10:44:03 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:02:11 time: 0.0552 data_time: 0.0028 memory: 1231 2022/12/05 10:44:04 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:02:10 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 10:44:05 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:02:09 time: 0.0546 data_time: 0.0026 memory: 1231 2022/12/05 10:44:06 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:02:08 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 10:44:07 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:02:07 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 10:44:08 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:02:06 time: 0.0546 data_time: 0.0025 memory: 1231 2022/12/05 10:44:09 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:02:05 time: 0.0544 data_time: 0.0023 memory: 1231 2022/12/05 10:44:10 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:02:04 time: 0.0544 data_time: 0.0026 memory: 1231 2022/12/05 10:44:11 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:02:03 time: 0.0545 data_time: 0.0026 memory: 1231 2022/12/05 10:44:12 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:02:02 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 10:44:14 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:02:01 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 10:44:15 - mmengine - INFO 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eta: 0:01:44 time: 0.0426 data_time: 0.0019 memory: 1111 2022/12/05 10:44:32 - mmengine - INFO - Epoch(val) [8][4280/6282] eta: 0:01:42 time: 0.0422 data_time: 0.0019 memory: 1111 2022/12/05 10:44:33 - mmengine - INFO - Epoch(val) [8][4300/6282] eta: 0:01:41 time: 0.0421 data_time: 0.0022 memory: 1111 2022/12/05 10:44:34 - mmengine - INFO - Epoch(val) [8][4320/6282] eta: 0:01:40 time: 0.0418 data_time: 0.0019 memory: 1111 2022/12/05 10:44:35 - mmengine - INFO - Epoch(val) [8][4340/6282] eta: 0:01:39 time: 0.0419 data_time: 0.0019 memory: 1111 2022/12/05 10:44:36 - mmengine - INFO - Epoch(val) [8][4360/6282] eta: 0:01:38 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 10:44:37 - mmengine - INFO - Epoch(val) [8][4380/6282] eta: 0:01:37 time: 0.0636 data_time: 0.0121 memory: 1231 2022/12/05 10:44:38 - mmengine - INFO - Epoch(val) [8][4400/6282] eta: 0:01:36 time: 0.0534 data_time: 0.0019 memory: 1231 2022/12/05 10:44:40 - mmengine - INFO - Epoch(val) [8][4420/6282] eta: 0:01:35 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 10:44:41 - mmengine - INFO - Epoch(val) [8][4440/6282] eta: 0:01:34 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 10:44:42 - mmengine - INFO - Epoch(val) [8][4460/6282] eta: 0:01:33 time: 0.0547 data_time: 0.0022 memory: 1245 2022/12/05 10:44:43 - mmengine - INFO - Epoch(val) [8][4480/6282] eta: 0:01:32 time: 0.0565 data_time: 0.0023 memory: 1245 2022/12/05 10:44:44 - mmengine - INFO - Epoch(val) [8][4500/6282] eta: 0:01:31 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 10:44:45 - mmengine - INFO - Epoch(val) [8][4520/6282] eta: 0:01:30 time: 0.0514 data_time: 0.0021 memory: 1245 2022/12/05 10:44:46 - mmengine - INFO - Epoch(val) [8][4540/6282] eta: 0:01:29 time: 0.0422 data_time: 0.0019 memory: 1122 2022/12/05 10:44:47 - mmengine - INFO - Epoch(val) [8][4560/6282] eta: 0:01:28 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:44:48 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:27 time: 0.0425 data_time: 0.0020 memory: 1122 2022/12/05 10:44:48 - mmengine - INFO - Epoch(val) [8][4600/6282] eta: 0:01:26 time: 0.0421 data_time: 0.0019 memory: 1122 2022/12/05 10:44:49 - mmengine - INFO - Epoch(val) [8][4620/6282] eta: 0:01:25 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:44:50 - mmengine - INFO - Epoch(val) [8][4640/6282] eta: 0:01:24 time: 0.0546 data_time: 0.0022 memory: 1245 2022/12/05 10:44:51 - mmengine - INFO - Epoch(val) [8][4660/6282] eta: 0:01:23 time: 0.0546 data_time: 0.0023 memory: 1245 2022/12/05 10:44:52 - mmengine - INFO - Epoch(val) [8][4680/6282] eta: 0:01:22 time: 0.0545 data_time: 0.0022 memory: 1245 2022/12/05 10:44:54 - mmengine - INFO - Epoch(val) [8][4700/6282] eta: 0:01:21 time: 0.0544 data_time: 0.0021 memory: 1245 2022/12/05 10:44:55 - mmengine - INFO - Epoch(val) [8][4720/6282] eta: 0:01:20 time: 0.0532 data_time: 0.0022 memory: 1245 2022/12/05 10:44:56 - mmengine - INFO - Epoch(val) [8][4740/6282] eta: 0:01:19 time: 0.0465 data_time: 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10:45:13 - mmengine - INFO - Epoch(val) [8][5080/6282] eta: 0:01:01 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 10:45:13 - mmengine - INFO - Epoch(val) [8][5100/6282] eta: 0:01:00 time: 0.0424 data_time: 0.0019 memory: 1122 2022/12/05 10:45:14 - mmengine - INFO - Epoch(val) [8][5120/6282] eta: 0:00:59 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 10:45:15 - mmengine - INFO - Epoch(val) [8][5140/6282] eta: 0:00:58 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 10:45:16 - mmengine - INFO - Epoch(val) [8][5160/6282] eta: 0:00:57 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 10:45:17 - mmengine - INFO - Epoch(val) [8][5180/6282] eta: 0:00:56 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 10:45:18 - mmengine - INFO - Epoch(val) [8][5200/6282] eta: 0:00:55 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 10:45:19 - mmengine - INFO - Epoch(val) [8][5220/6282] eta: 0:00:54 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 10:45:19 - 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eta: 0:00:28 time: 0.0444 data_time: 0.0020 memory: 1181 2022/12/05 10:45:41 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:27 time: 0.0471 data_time: 0.0020 memory: 1181 2022/12/05 10:45:42 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:26 time: 0.0472 data_time: 0.0021 memory: 1181 2022/12/05 10:45:43 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:25 time: 0.0472 data_time: 0.0021 memory: 1181 2022/12/05 10:45:44 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:24 time: 0.0471 data_time: 0.0021 memory: 1181 2022/12/05 10:45:45 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:23 time: 0.0464 data_time: 0.0021 memory: 1181 2022/12/05 10:45:46 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:22 time: 0.0456 data_time: 0.0027 memory: 1155 2022/12/05 10:45:47 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:21 time: 0.0450 data_time: 0.0021 memory: 1155 2022/12/05 10:45:47 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:20 time: 0.0450 data_time: 0.0020 memory: 1155 2022/12/05 10:45:48 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:19 time: 0.0449 data_time: 0.0020 memory: 1155 2022/12/05 10:45:49 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:18 time: 0.0432 data_time: 0.0020 memory: 1155 2022/12/05 10:45:50 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:17 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 10:45:51 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:16 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 10:45:52 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:15 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 10:45:53 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:14 time: 0.0509 data_time: 0.0021 memory: 1231 2022/12/05 10:45:54 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:13 time: 0.0536 data_time: 0.0022 memory: 1231 2022/12/05 10:45:55 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:12 time: 0.0557 data_time: 0.0026 memory: 1231 2022/12/05 10:45:56 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:11 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 10:45:57 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:00:10 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 10:45:58 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:09 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 10:45:59 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:08 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 10:46:00 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:07 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 10:46:02 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:06 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 10:46:03 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:05 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 10:46:04 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:04 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 10:46:05 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:03 time: 0.0535 data_time: 0.0021 memory: 1231 2022/12/05 10:46:06 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:02 time: 0.0540 data_time: 0.0021 memory: 1231 2022/12/05 10:46:07 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:01 time: 0.0624 data_time: 0.0021 memory: 1231 2022/12/05 10:46:08 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0530 data_time: 0.0018 memory: 1231 2022/12/05 10:51:29 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.3121 2022/12/05 10:51:29 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_7.pth is removed 2022/12/05 10:51:32 - mmengine - INFO - The best checkpoint with 0.3121 mAP/mAP@0.5IOU at 8 epoch is saved to best_mAP/mAP@0.5IOU_epoch_8.pth. 2022/12/05 10:51:43 - mmengine - INFO - Epoch(train) [9][ 20/4451] lr: 1.4585e-02 eta: 1:13:26 time: 0.5417 data_time: 0.0466 memory: 16785 grad_norm: 0.1190 loss: 0.0163 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.9412 recall@top3: 0.8824 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4353 loss_action_cls: 0.0163 2022/12/05 10:51:53 - mmengine - INFO - Epoch(train) [9][ 40/4451] lr: 1.4523e-02 eta: 1:13:16 time: 0.4997 data_time: 0.0124 memory: 16785 grad_norm: 0.1162 loss: 0.0178 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.9537 recall@top3: 0.8241 prec@top3: 0.7222 recall@top5: 0.9306 prec@top5: 0.5000 loss_action_cls: 0.0178 2022/12/05 10:52:03 - mmengine - INFO - Epoch(train) [9][ 60/4451] lr: 1.4461e-02 eta: 1:13:06 time: 0.4979 data_time: 0.0113 memory: 16785 grad_norm: 0.1137 loss: 0.0140 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.7292 recall@top3: 0.8385 prec@top3: 0.5417 recall@top5: 0.9323 prec@top5: 0.3500 loss_action_cls: 0.0140 2022/12/05 10:52:13 - mmengine - INFO - Epoch(train) [9][ 80/4451] lr: 1.4399e-02 eta: 1:12:56 time: 0.4963 data_time: 0.0110 memory: 16785 grad_norm: 0.1172 loss: 0.0160 recall@thr=0.5: 0.6983 prec@thr=0.5: 0.7208 recall@top3: 0.7533 prec@top3: 0.6833 recall@top5: 0.9300 prec@top5: 0.5200 loss_action_cls: 0.0160 2022/12/05 10:52:23 - mmengine - INFO - Epoch(train) [9][ 100/4451] lr: 1.4337e-02 eta: 1:12:46 time: 0.4970 data_time: 0.0108 memory: 16785 grad_norm: 0.1173 loss: 0.0166 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8158 recall@top3: 0.8667 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0166 2022/12/05 10:52:33 - mmengine - INFO - Epoch(train) [9][ 120/4451] lr: 1.4275e-02 eta: 1:12:36 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1186 loss: 0.0161 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6750 recall@top3: 0.8500 prec@top3: 0.5000 recall@top5: 0.9500 prec@top5: 0.3400 loss_action_cls: 0.0161 2022/12/05 10:52:42 - mmengine - INFO - Epoch(train) [9][ 140/4451] lr: 1.4214e-02 eta: 1:12:27 time: 0.4952 data_time: 0.0109 memory: 16785 grad_norm: 0.1206 loss: 0.0156 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7681 recall@top3: 0.8768 prec@top3: 0.6232 recall@top5: 0.9203 prec@top5: 0.3826 loss_action_cls: 0.0156 2022/12/05 10:52:52 - mmengine - INFO - Epoch(train) [9][ 160/4451] lr: 1.4152e-02 eta: 1:12:17 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1218 loss: 0.0178 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7143 recall@top3: 0.7440 prec@top3: 0.7143 recall@top5: 0.9464 prec@top5: 0.5571 loss_action_cls: 0.0178 2022/12/05 10:53:02 - mmengine - INFO - Epoch(train) [9][ 180/4451] lr: 1.4091e-02 eta: 1:12:07 time: 0.4956 data_time: 0.0106 memory: 16785 grad_norm: 0.1229 loss: 0.0163 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.8333 recall@top3: 0.8188 prec@top3: 0.6667 recall@top5: 0.8986 prec@top5: 0.4435 loss_action_cls: 0.0163 2022/12/05 10:53:12 - mmengine - INFO - Epoch(train) [9][ 200/4451] lr: 1.4029e-02 eta: 1:11:57 time: 0.4958 data_time: 0.0109 memory: 16785 grad_norm: 0.1169 loss: 0.0152 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.7790 recall@top3: 0.8623 prec@top3: 0.6957 recall@top5: 0.9855 prec@top5: 0.4783 loss_action_cls: 0.0152 2022/12/05 10:53:22 - mmengine - INFO - Epoch(train) [9][ 220/4451] lr: 1.3968e-02 eta: 1:11:47 time: 0.4979 data_time: 0.0103 memory: 16785 grad_norm: 0.1172 loss: 0.0161 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.8021 recall@top3: 0.8438 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0161 2022/12/05 10:53:32 - mmengine - INFO - Epoch(train) [9][ 240/4451] lr: 1.3907e-02 eta: 1:11:37 time: 0.4972 data_time: 0.0109 memory: 16785 grad_norm: 0.1200 loss: 0.0170 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.7857 recall@top3: 0.8135 prec@top3: 0.6032 recall@top5: 0.9167 prec@top5: 0.4286 loss_action_cls: 0.0170 2022/12/05 10:53:42 - mmengine - INFO - Epoch(train) [9][ 260/4451] lr: 1.3846e-02 eta: 1:11:27 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1163 loss: 0.0163 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9083 recall@top3: 0.9500 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4100 loss_action_cls: 0.0163 2022/12/05 10:53:52 - mmengine - INFO - Epoch(train) [9][ 280/4451] lr: 1.3785e-02 eta: 1:11:17 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1209 loss: 0.0164 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8947 recall@top3: 0.8465 prec@top3: 0.7368 recall@top5: 0.9605 prec@top5: 0.5053 loss_action_cls: 0.0164 2022/12/05 10:54:02 - mmengine - INFO - Epoch(train) [9][ 300/4451] lr: 1.3724e-02 eta: 1:11:07 time: 0.4962 data_time: 0.0105 memory: 16785 grad_norm: 0.1177 loss: 0.0173 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8562 recall@top3: 0.9236 prec@top3: 0.8333 recall@top5: 0.9896 prec@top5: 0.5500 loss_action_cls: 0.0173 2022/12/05 10:54:12 - mmengine - INFO - Epoch(train) [9][ 320/4451] lr: 1.3664e-02 eta: 1:10:57 time: 0.4971 data_time: 0.0109 memory: 16785 grad_norm: 0.1205 loss: 0.0170 recall@thr=0.5: 0.7882 prec@thr=0.5: 0.8819 recall@top3: 0.8819 prec@top3: 0.6528 recall@top5: 0.9514 prec@top5: 0.4417 loss_action_cls: 0.0170 2022/12/05 10:54:22 - mmengine - INFO - Epoch(train) [9][ 340/4451] lr: 1.3603e-02 eta: 1:10:47 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1192 loss: 0.0163 recall@thr=0.5: 0.6679 prec@thr=0.5: 0.7731 recall@top3: 0.7705 prec@top3: 0.6410 recall@top5: 0.9487 prec@top5: 0.5077 loss_action_cls: 0.0163 2022/12/05 10:54:32 - mmengine - INFO - Epoch(train) [9][ 360/4451] lr: 1.3543e-02 eta: 1:10:37 time: 0.4979 data_time: 0.0113 memory: 16785 grad_norm: 0.1201 loss: 0.0158 recall@thr=0.5: 0.5217 prec@thr=0.5: 0.6522 recall@top3: 0.8188 prec@top3: 0.4638 recall@top5: 1.0000 prec@top5: 0.3739 loss_action_cls: 0.0158 2022/12/05 10:54:42 - mmengine - INFO - Epoch(train) [9][ 380/4451] lr: 1.3482e-02 eta: 1:10:27 time: 0.4963 data_time: 0.0114 memory: 16785 grad_norm: 0.1170 loss: 0.0153 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.9123 recall@top3: 0.8439 prec@top3: 0.7018 recall@top5: 0.8886 prec@top5: 0.4632 loss_action_cls: 0.0153 2022/12/05 10:54:48 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 10:54:52 - mmengine - INFO - Epoch(train) [9][ 400/4451] lr: 1.3422e-02 eta: 1:10:18 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1185 loss: 0.0177 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8070 recall@top3: 0.9123 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4000 loss_action_cls: 0.0177 2022/12/05 10:55:02 - mmengine - INFO - Epoch(train) [9][ 420/4451] lr: 1.3362e-02 eta: 1:10:08 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1191 loss: 0.0164 recall@thr=0.5: 0.8132 prec@thr=0.5: 0.8414 recall@top3: 0.8822 prec@top3: 0.7816 recall@top5: 0.9914 prec@top5: 0.5517 loss_action_cls: 0.0164 2022/12/05 10:55:11 - mmengine - INFO - Epoch(train) [9][ 440/4451] lr: 1.3302e-02 eta: 1:09:58 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1118 loss: 0.0162 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.8889 recall@top3: 0.8704 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0162 2022/12/05 10:55:21 - mmengine - INFO - Epoch(train) [9][ 460/4451] lr: 1.3242e-02 eta: 1:09:48 time: 0.4974 data_time: 0.0117 memory: 16785 grad_norm: 0.1154 loss: 0.0150 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.5625 recall@top3: 0.8542 prec@top3: 0.3958 recall@top5: 1.0000 prec@top5: 0.2750 loss_action_cls: 0.0150 2022/12/05 10:55:31 - mmengine - INFO - Epoch(train) [9][ 480/4451] lr: 1.3183e-02 eta: 1:09:38 time: 0.4963 data_time: 0.0100 memory: 16785 grad_norm: 0.1156 loss: 0.0169 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.7754 recall@top3: 0.8732 prec@top3: 0.7246 recall@top5: 0.9239 prec@top5: 0.4783 loss_action_cls: 0.0169 2022/12/05 10:55:41 - mmengine - INFO - Epoch(train) [9][ 500/4451] lr: 1.3123e-02 eta: 1:09:28 time: 0.4968 data_time: 0.0114 memory: 16785 grad_norm: 0.1192 loss: 0.0156 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8509 recall@top3: 0.8114 prec@top3: 0.7193 recall@top5: 0.9298 prec@top5: 0.5053 loss_action_cls: 0.0156 2022/12/05 10:55:51 - mmengine - INFO - Epoch(train) [9][ 520/4451] lr: 1.3063e-02 eta: 1:09:18 time: 0.4956 data_time: 0.0108 memory: 16785 grad_norm: 0.1228 loss: 0.0157 recall@thr=0.5: 0.6521 prec@thr=0.5: 0.7708 recall@top3: 0.7819 prec@top3: 0.7083 recall@top5: 0.9812 prec@top5: 0.5250 loss_action_cls: 0.0157 2022/12/05 10:56:01 - mmengine - INFO - Epoch(train) [9][ 540/4451] lr: 1.3004e-02 eta: 1:09:08 time: 0.4957 data_time: 0.0110 memory: 16785 grad_norm: 0.1159 loss: 0.0149 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8611 recall@top3: 0.8843 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0149 2022/12/05 10:56:11 - mmengine - INFO - Epoch(train) [9][ 560/4451] lr: 1.2945e-02 eta: 1:08:58 time: 0.4971 data_time: 0.0111 memory: 16785 grad_norm: 0.1178 loss: 0.0151 recall@thr=0.5: 0.9042 prec@thr=0.5: 0.9000 recall@top3: 0.9292 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4100 loss_action_cls: 0.0151 2022/12/05 10:56:21 - mmengine - INFO - Epoch(train) [9][ 580/4451] lr: 1.2885e-02 eta: 1:08:48 time: 0.4971 data_time: 0.0109 memory: 16785 grad_norm: 0.1234 loss: 0.0165 recall@thr=0.5: 0.6200 prec@thr=0.5: 0.8556 recall@top3: 0.7756 prec@top3: 0.5778 recall@top5: 0.8733 prec@top5: 0.4267 loss_action_cls: 0.0165 2022/12/05 10:56:31 - mmengine - INFO - Epoch(train) [9][ 600/4451] lr: 1.2826e-02 eta: 1:08:38 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1153 loss: 0.0139 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.8333 recall@top3: 0.8778 prec@top3: 0.6111 recall@top5: 0.9069 prec@top5: 0.3833 loss_action_cls: 0.0139 2022/12/05 10:56:41 - mmengine - INFO - Epoch(train) [9][ 620/4451] lr: 1.2767e-02 eta: 1:08:28 time: 0.4962 data_time: 0.0112 memory: 16785 grad_norm: 0.1187 loss: 0.0160 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8690 recall@top3: 0.8333 prec@top3: 0.5476 recall@top5: 0.8810 prec@top5: 0.3571 loss_action_cls: 0.0160 2022/12/05 10:56:51 - mmengine - INFO - Epoch(train) [9][ 640/4451] lr: 1.2709e-02 eta: 1:08:18 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1178 loss: 0.0157 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.9216 recall@top3: 0.9216 prec@top3: 0.7255 recall@top5: 0.9804 prec@top5: 0.4706 loss_action_cls: 0.0157 2022/12/05 10:57:01 - mmengine - INFO - Epoch(train) [9][ 660/4451] lr: 1.2650e-02 eta: 1:08:09 time: 0.4969 data_time: 0.0115 memory: 16785 grad_norm: 0.1232 loss: 0.0168 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7778 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9861 prec@top5: 0.4778 loss_action_cls: 0.0168 2022/12/05 10:57:11 - mmengine - INFO - Epoch(train) [9][ 680/4451] lr: 1.2591e-02 eta: 1:07:59 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1236 loss: 0.0170 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.5802 recall@top3: 0.6358 prec@top3: 0.4691 recall@top5: 0.8426 prec@top5: 0.3630 loss_action_cls: 0.0170 2022/12/05 10:57:21 - mmengine - INFO - Epoch(train) [9][ 700/4451] lr: 1.2533e-02 eta: 1:07:49 time: 0.4970 data_time: 0.0113 memory: 16785 grad_norm: 0.1220 loss: 0.0168 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7083 recall@top3: 0.8646 prec@top3: 0.5417 recall@top5: 1.0000 prec@top5: 0.3875 loss_action_cls: 0.0168 2022/12/05 10:57:31 - mmengine - INFO - Epoch(train) [9][ 720/4451] lr: 1.2474e-02 eta: 1:07:39 time: 0.4976 data_time: 0.0114 memory: 16785 grad_norm: 0.1229 loss: 0.0153 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.7833 recall@top3: 0.8125 prec@top3: 0.6333 recall@top5: 0.8792 prec@top5: 0.4200 loss_action_cls: 0.0153 2022/12/05 10:57:41 - mmengine - INFO - Epoch(train) [9][ 740/4451] lr: 1.2416e-02 eta: 1:07:29 time: 0.4968 data_time: 0.0110 memory: 16785 grad_norm: 0.1222 loss: 0.0173 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8182 recall@top3: 0.8864 prec@top3: 0.4697 recall@top5: 0.9318 prec@top5: 0.3000 loss_action_cls: 0.0173 2022/12/05 10:57:50 - mmengine - INFO - Epoch(train) [9][ 760/4451] lr: 1.2358e-02 eta: 1:07:19 time: 0.4975 data_time: 0.0110 memory: 16785 grad_norm: 0.1175 loss: 0.0154 recall@thr=0.5: 0.8467 prec@thr=0.5: 0.8533 recall@top3: 0.8142 prec@top3: 0.7667 recall@top5: 0.9750 prec@top5: 0.5800 loss_action_cls: 0.0154 2022/12/05 10:58:00 - mmengine - INFO - Epoch(train) [9][ 780/4451] lr: 1.2300e-02 eta: 1:07:09 time: 0.4974 data_time: 0.0114 memory: 16785 grad_norm: 0.1157 loss: 0.0157 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.7556 recall@top3: 0.8500 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3467 loss_action_cls: 0.0157 2022/12/05 10:58:10 - mmengine - INFO - Epoch(train) [9][ 800/4451] lr: 1.2242e-02 eta: 1:06:59 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1157 loss: 0.0146 recall@thr=0.5: 0.8933 prec@thr=0.5: 0.9667 recall@top3: 0.9467 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0146 2022/12/05 10:58:20 - mmengine - INFO - Epoch(train) [9][ 820/4451] lr: 1.2184e-02 eta: 1:06:49 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1201 loss: 0.0162 recall@thr=0.5: 0.7516 prec@thr=0.5: 0.7366 recall@top3: 0.8909 prec@top3: 0.6129 recall@top5: 0.9624 prec@top5: 0.4194 loss_action_cls: 0.0162 2022/12/05 10:58:30 - mmengine - INFO - Epoch(train) [9][ 840/4451] lr: 1.2127e-02 eta: 1:06:39 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1227 loss: 0.0155 recall@thr=0.5: 0.6011 prec@thr=0.5: 0.6944 recall@top3: 0.7456 prec@top3: 0.5778 recall@top5: 0.8922 prec@top5: 0.4400 loss_action_cls: 0.0155 2022/12/05 10:58:40 - mmengine - INFO - Epoch(train) [9][ 860/4451] lr: 1.2069e-02 eta: 1:06:29 time: 0.4967 data_time: 0.0116 memory: 16785 grad_norm: 0.1236 loss: 0.0165 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8269 recall@top3: 0.8013 prec@top3: 0.5769 recall@top5: 0.9359 prec@top5: 0.4231 loss_action_cls: 0.0165 2022/12/05 10:58:50 - mmengine - INFO - Epoch(train) [9][ 880/4451] lr: 1.2012e-02 eta: 1:06:19 time: 0.4972 data_time: 0.0111 memory: 16785 grad_norm: 0.1218 loss: 0.0171 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8646 recall@top3: 0.8542 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0171 2022/12/05 10:59:00 - mmengine - INFO - Epoch(train) [9][ 900/4451] lr: 1.1955e-02 eta: 1:06:10 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1213 loss: 0.0161 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7222 recall@top3: 0.6746 prec@top3: 0.6349 recall@top5: 0.8413 prec@top5: 0.4857 loss_action_cls: 0.0161 2022/12/05 10:59:10 - mmengine - INFO - Epoch(train) [9][ 920/4451] lr: 1.1897e-02 eta: 1:06:00 time: 0.4972 data_time: 0.0109 memory: 16785 grad_norm: 0.1190 loss: 0.0164 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.9259 recall@top3: 0.8704 prec@top3: 0.8704 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0164 2022/12/05 10:59:20 - mmengine - INFO - Epoch(train) [9][ 940/4451] lr: 1.1840e-02 eta: 1:05:50 time: 0.4973 data_time: 0.0110 memory: 16785 grad_norm: 0.1186 loss: 0.0155 recall@thr=0.5: 0.9348 prec@thr=0.5: 0.9710 recall@top3: 0.9565 prec@top3: 0.7246 recall@top5: 1.0000 prec@top5: 0.4609 loss_action_cls: 0.0155 2022/12/05 10:59:30 - mmengine - INFO - Epoch(train) [9][ 960/4451] lr: 1.1783e-02 eta: 1:05:40 time: 0.4976 data_time: 0.0109 memory: 16785 grad_norm: 0.1197 loss: 0.0174 recall@thr=0.5: 0.7929 prec@thr=0.5: 0.8333 recall@top3: 0.7821 prec@top3: 0.5952 recall@top5: 0.9643 prec@top5: 0.4714 loss_action_cls: 0.0174 2022/12/05 10:59:40 - mmengine - INFO - Epoch(train) [9][ 980/4451] lr: 1.1726e-02 eta: 1:05:30 time: 0.4973 data_time: 0.0111 memory: 16785 grad_norm: 0.1149 loss: 0.0164 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.5000 recall@top3: 0.8333 prec@top3: 0.5000 recall@top5: 0.9722 prec@top5: 0.3556 loss_action_cls: 0.0164 2022/12/05 10:59:50 - mmengine - INFO - Epoch(train) [9][1000/4451] lr: 1.1670e-02 eta: 1:05:20 time: 0.4972 data_time: 0.0108 memory: 16785 grad_norm: 0.1225 loss: 0.0158 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.8188 recall@top3: 0.8261 prec@top3: 0.6232 recall@top5: 0.9130 prec@top5: 0.4000 loss_action_cls: 0.0158 2022/12/05 11:00:00 - mmengine - INFO - Epoch(train) [9][1020/4451] lr: 1.1613e-02 eta: 1:05:10 time: 0.4990 data_time: 0.0109 memory: 16785 grad_norm: 0.1186 loss: 0.0173 recall@thr=0.5: 0.6353 prec@thr=0.5: 0.7745 recall@top3: 0.8510 prec@top3: 0.6667 recall@top5: 0.9451 prec@top5: 0.4588 loss_action_cls: 0.0173 2022/12/05 11:00:10 - mmengine - INFO - Epoch(train) [9][1040/4451] lr: 1.1557e-02 eta: 1:05:00 time: 0.4964 data_time: 0.0111 memory: 16785 grad_norm: 0.1175 loss: 0.0164 recall@thr=0.5: 0.8026 prec@thr=0.5: 0.9649 recall@top3: 0.8991 prec@top3: 0.7368 recall@top5: 0.9605 prec@top5: 0.4842 loss_action_cls: 0.0164 2022/12/05 11:00:20 - mmengine - INFO - Epoch(train) [9][1060/4451] lr: 1.1500e-02 eta: 1:04:50 time: 0.4984 data_time: 0.0109 memory: 16785 grad_norm: 0.1246 loss: 0.0164 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6765 recall@top3: 0.8824 prec@top3: 0.5490 recall@top5: 0.9314 prec@top5: 0.3529 loss_action_cls: 0.0164 2022/12/05 11:00:30 - mmengine - INFO - Epoch(train) [9][1080/4451] lr: 1.1444e-02 eta: 1:04:40 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1185 loss: 0.0167 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.9373 recall@top3: 0.8725 prec@top3: 0.8627 recall@top5: 0.9412 prec@top5: 0.5647 loss_action_cls: 0.0167 2022/12/05 11:00:40 - mmengine - INFO - Epoch(train) [9][1100/4451] lr: 1.1388e-02 eta: 1:04:30 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1175 loss: 0.0162 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7941 recall@top3: 0.8235 prec@top3: 0.6275 recall@top5: 0.9706 prec@top5: 0.4706 loss_action_cls: 0.0162 2022/12/05 11:00:49 - mmengine - INFO - Epoch(train) [9][1120/4451] lr: 1.1332e-02 eta: 1:04:20 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1183 loss: 0.0147 recall@thr=0.5: 0.9500 prec@thr=0.5: 0.8425 recall@top3: 0.9250 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.4500 loss_action_cls: 0.0147 2022/12/05 11:00:59 - mmengine - INFO - Epoch(train) [9][1140/4451] lr: 1.1276e-02 eta: 1:04:11 time: 0.4971 data_time: 0.0109 memory: 16785 grad_norm: 0.1170 loss: 0.0161 recall@thr=0.5: 0.8073 prec@thr=0.5: 0.8750 recall@top3: 0.8698 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5625 loss_action_cls: 0.0161 2022/12/05 11:01:09 - mmengine - INFO - Epoch(train) [9][1160/4451] lr: 1.1220e-02 eta: 1:04:01 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1219 loss: 0.0159 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7206 recall@top3: 0.7471 prec@top3: 0.6078 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0159 2022/12/05 11:01:19 - mmengine - INFO - Epoch(train) [9][1180/4451] lr: 1.1165e-02 eta: 1:03:51 time: 0.4958 data_time: 0.0111 memory: 16785 grad_norm: 0.1221 loss: 0.0153 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.7833 recall@top3: 0.9000 prec@top3: 0.5167 recall@top5: 1.0000 prec@top5: 0.3700 loss_action_cls: 0.0153 2022/12/05 11:01:29 - mmengine - INFO - Epoch(train) [9][1200/4451] lr: 1.1109e-02 eta: 1:03:41 time: 0.4958 data_time: 0.0110 memory: 16785 grad_norm: 0.1200 loss: 0.0152 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.7929 recall@top3: 0.8384 prec@top3: 0.7677 recall@top5: 0.9899 prec@top5: 0.5455 loss_action_cls: 0.0152 2022/12/05 11:01:39 - mmengine - INFO - Epoch(train) [9][1220/4451] lr: 1.1054e-02 eta: 1:03:31 time: 0.4972 data_time: 0.0111 memory: 16785 grad_norm: 0.1169 loss: 0.0151 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7807 recall@top3: 0.8684 prec@top3: 0.7018 recall@top5: 0.9430 prec@top5: 0.4737 loss_action_cls: 0.0151 2022/12/05 11:01:49 - mmengine - INFO - Epoch(train) [9][1240/4451] lr: 1.0999e-02 eta: 1:03:21 time: 0.4964 data_time: 0.0112 memory: 16785 grad_norm: 0.1168 loss: 0.0155 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.7685 recall@top3: 0.8426 prec@top3: 0.5185 recall@top5: 0.9444 prec@top5: 0.3444 loss_action_cls: 0.0155 2022/12/05 11:01:59 - mmengine - INFO - Epoch(train) [9][1260/4451] lr: 1.0943e-02 eta: 1:03:11 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1245 loss: 0.0197 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6833 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0197 2022/12/05 11:02:09 - mmengine - INFO - Epoch(train) [9][1280/4451] lr: 1.0888e-02 eta: 1:03:01 time: 0.4961 data_time: 0.0109 memory: 16785 grad_norm: 0.1208 loss: 0.0167 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8261 recall@top3: 0.8333 prec@top3: 0.6812 recall@top5: 0.9275 prec@top5: 0.4522 loss_action_cls: 0.0167 2022/12/05 11:02:19 - mmengine - INFO - Epoch(train) [9][1300/4451] lr: 1.0833e-02 eta: 1:02:51 time: 0.4981 data_time: 0.0119 memory: 16785 grad_norm: 0.1205 loss: 0.0172 recall@thr=0.5: 0.7056 prec@thr=0.5: 0.8056 recall@top3: 0.8389 prec@top3: 0.5889 recall@top5: 0.9389 prec@top5: 0.4067 loss_action_cls: 0.0172 2022/12/05 11:02:29 - mmengine - INFO - Epoch(train) [9][1320/4451] lr: 1.0779e-02 eta: 1:02:41 time: 0.4970 data_time: 0.0115 memory: 16785 grad_norm: 0.1191 loss: 0.0188 recall@thr=0.5: 0.8644 prec@thr=0.5: 0.8561 recall@top3: 0.8917 prec@top3: 0.7879 recall@top5: 0.9583 prec@top5: 0.5273 loss_action_cls: 0.0188 2022/12/05 11:02:39 - mmengine - INFO - Epoch(train) [9][1340/4451] lr: 1.0724e-02 eta: 1:02:31 time: 0.4967 data_time: 0.0115 memory: 16785 grad_norm: 0.1200 loss: 0.0167 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.7105 recall@top3: 0.7982 prec@top3: 0.6491 recall@top5: 0.9342 prec@top5: 0.4632 loss_action_cls: 0.0167 2022/12/05 11:02:49 - mmengine - INFO - Epoch(train) [9][1360/4451] lr: 1.0670e-02 eta: 1:02:21 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1198 loss: 0.0151 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5057 recall@top3: 0.7040 prec@top3: 0.5517 recall@top5: 0.8649 prec@top5: 0.4000 loss_action_cls: 0.0151 2022/12/05 11:02:59 - mmengine - INFO - Epoch(train) [9][1380/4451] lr: 1.0615e-02 eta: 1:02:11 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1172 loss: 0.0159 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.6923 recall@top3: 0.8974 prec@top3: 0.6923 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0159 2022/12/05 11:03:05 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 11:03:09 - mmengine - INFO - Epoch(train) [9][1400/4451] lr: 1.0561e-02 eta: 1:02:02 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1227 loss: 0.0166 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.9123 recall@top3: 0.8596 prec@top3: 0.6842 recall@top5: 0.9386 prec@top5: 0.4632 loss_action_cls: 0.0166 2022/12/05 11:03:19 - mmengine - INFO - Epoch(train) [9][1420/4451] lr: 1.0507e-02 eta: 1:01:52 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1185 loss: 0.0165 recall@thr=0.5: 0.5219 prec@thr=0.5: 0.6579 recall@top3: 0.7763 prec@top3: 0.4912 recall@top5: 0.9342 prec@top5: 0.3579 loss_action_cls: 0.0165 2022/12/05 11:03:28 - mmengine - INFO - Epoch(train) [9][1440/4451] lr: 1.0453e-02 eta: 1:01:42 time: 0.4980 data_time: 0.0110 memory: 16785 grad_norm: 0.1224 loss: 0.0175 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.7187 recall@top3: 0.8500 prec@top3: 0.5000 recall@top5: 0.9250 prec@top5: 0.3500 loss_action_cls: 0.0175 2022/12/05 11:03:38 - mmengine - INFO - Epoch(train) [9][1460/4451] lr: 1.0399e-02 eta: 1:01:32 time: 0.4975 data_time: 0.0119 memory: 16785 grad_norm: 0.1217 loss: 0.0167 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.7567 recall@top3: 0.8800 prec@top3: 0.6267 recall@top5: 0.9133 prec@top5: 0.3920 loss_action_cls: 0.0167 2022/12/05 11:03:48 - mmengine - INFO - Epoch(train) [9][1480/4451] lr: 1.0345e-02 eta: 1:01:22 time: 0.4957 data_time: 0.0111 memory: 16785 grad_norm: 0.1242 loss: 0.0161 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7187 recall@top3: 0.7708 prec@top3: 0.5625 recall@top5: 0.8646 prec@top5: 0.3625 loss_action_cls: 0.0161 2022/12/05 11:03:58 - mmengine - INFO - Epoch(train) [9][1500/4451] lr: 1.0291e-02 eta: 1:01:12 time: 0.4969 data_time: 0.0107 memory: 16785 grad_norm: 0.1175 loss: 0.0158 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.8280 recall@top3: 0.8022 prec@top3: 0.6667 recall@top5: 0.9382 prec@top5: 0.4968 loss_action_cls: 0.0158 2022/12/05 11:04:08 - mmengine - INFO - Epoch(train) [9][1520/4451] lr: 1.0238e-02 eta: 1:01:02 time: 0.4977 data_time: 0.0113 memory: 16785 grad_norm: 0.1241 loss: 0.0168 recall@thr=0.5: 0.9231 prec@thr=0.5: 0.9231 recall@top3: 0.9808 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0168 2022/12/05 11:04:18 - mmengine - INFO - Epoch(train) [9][1540/4451] lr: 1.0184e-02 eta: 1:00:52 time: 0.4963 data_time: 0.0109 memory: 16785 grad_norm: 0.1205 loss: 0.0141 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.9118 recall@top3: 0.8627 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0141 2022/12/05 11:04:28 - mmengine - INFO - Epoch(train) [9][1560/4451] lr: 1.0131e-02 eta: 1:00:42 time: 0.4966 data_time: 0.0112 memory: 16785 grad_norm: 0.1186 loss: 0.0148 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.9062 recall@top3: 0.8750 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0148 2022/12/05 11:04:38 - mmengine - INFO - Epoch(train) [9][1580/4451] lr: 1.0078e-02 eta: 1:00:32 time: 0.4974 data_time: 0.0109 memory: 16785 grad_norm: 0.1195 loss: 0.0148 recall@thr=0.5: 0.8465 prec@thr=0.5: 0.7368 recall@top3: 0.9254 prec@top3: 0.6842 recall@top5: 0.9737 prec@top5: 0.4421 loss_action_cls: 0.0148 2022/12/05 11:04:48 - mmengine - INFO - Epoch(train) [9][1600/4451] lr: 1.0025e-02 eta: 1:00:22 time: 0.4979 data_time: 0.0115 memory: 16785 grad_norm: 0.1198 loss: 0.0160 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8627 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9510 prec@top5: 0.4118 loss_action_cls: 0.0160 2022/12/05 11:04:58 - mmengine - INFO - Epoch(train) [9][1620/4451] lr: 9.9717e-03 eta: 1:00:12 time: 0.4984 data_time: 0.0118 memory: 16785 grad_norm: 0.1232 loss: 0.0172 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8021 recall@top3: 0.9792 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0172 2022/12/05 11:05:08 - mmengine - INFO - Epoch(train) [9][1640/4451] lr: 9.9189e-03 eta: 1:00:03 time: 0.4972 data_time: 0.0111 memory: 16785 grad_norm: 0.1168 loss: 0.0158 recall@thr=0.5: 0.8720 prec@thr=0.5: 0.9464 recall@top3: 0.9137 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0158 2022/12/05 11:05:18 - mmengine - INFO - Epoch(train) [9][1660/4451] lr: 9.8662e-03 eta: 0:59:53 time: 0.4974 data_time: 0.0111 memory: 16785 grad_norm: 0.1255 loss: 0.0163 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7500 recall@top3: 0.8371 prec@top3: 0.6212 recall@top5: 0.9621 prec@top5: 0.4273 loss_action_cls: 0.0163 2022/12/05 11:05:28 - mmengine - INFO - Epoch(train) [9][1680/4451] lr: 9.8137e-03 eta: 0:59:43 time: 0.4972 data_time: 0.0111 memory: 16785 grad_norm: 0.1162 loss: 0.0153 recall@thr=0.5: 0.9286 prec@thr=0.5: 0.8532 recall@top3: 0.9444 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4476 loss_action_cls: 0.0153 2022/12/05 11:05:38 - mmengine - INFO - Epoch(train) [9][1700/4451] lr: 9.7613e-03 eta: 0:59:33 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1175 loss: 0.0171 recall@thr=0.5: 0.6975 prec@thr=0.5: 0.7932 recall@top3: 0.8735 prec@top3: 0.7284 recall@top5: 0.9630 prec@top5: 0.4889 loss_action_cls: 0.0171 2022/12/05 11:05:48 - mmengine - INFO - Epoch(train) [9][1720/4451] lr: 9.7089e-03 eta: 0:59:23 time: 0.4970 data_time: 0.0112 memory: 16785 grad_norm: 0.1233 loss: 0.0163 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.8000 recall@top3: 0.7556 prec@top3: 0.5333 recall@top5: 0.9111 prec@top5: 0.4133 loss_action_cls: 0.0163 2022/12/05 11:05:58 - mmengine - INFO - Epoch(train) [9][1740/4451] lr: 9.6568e-03 eta: 0:59:13 time: 0.4962 data_time: 0.0115 memory: 16785 grad_norm: 0.1238 loss: 0.0173 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7193 recall@top3: 0.7237 prec@top3: 0.5088 recall@top5: 0.9211 prec@top5: 0.4000 loss_action_cls: 0.0173 2022/12/05 11:06:08 - mmengine - INFO - Epoch(train) [9][1760/4451] lr: 9.6047e-03 eta: 0:59:03 time: 0.4967 data_time: 0.0114 memory: 16785 grad_norm: 0.1214 loss: 0.0160 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.7424 recall@top3: 0.7462 prec@top3: 0.4848 recall@top5: 0.8864 prec@top5: 0.3727 loss_action_cls: 0.0160 2022/12/05 11:06:18 - mmengine - INFO - Epoch(train) [9][1780/4451] lr: 9.5528e-03 eta: 0:58:53 time: 0.4972 data_time: 0.0110 memory: 16785 grad_norm: 0.1219 loss: 0.0150 recall@thr=0.5: 0.8326 prec@thr=0.5: 0.8261 recall@top3: 0.9500 prec@top3: 0.6087 recall@top5: 0.9804 prec@top5: 0.3913 loss_action_cls: 0.0150 2022/12/05 11:06:27 - mmengine - INFO - Epoch(train) [9][1800/4451] lr: 9.5010e-03 eta: 0:58:43 time: 0.4977 data_time: 0.0107 memory: 16785 grad_norm: 0.1195 loss: 0.0152 recall@thr=0.5: 0.7900 prec@thr=0.5: 0.8444 recall@top3: 0.8633 prec@top3: 0.6667 recall@top5: 0.9733 prec@top5: 0.4800 loss_action_cls: 0.0152 2022/12/05 11:06:37 - mmengine - INFO - Epoch(train) [9][1820/4451] lr: 9.4493e-03 eta: 0:58:33 time: 0.4973 data_time: 0.0111 memory: 16785 grad_norm: 0.1250 loss: 0.0160 recall@thr=0.5: 0.8676 prec@thr=0.5: 0.8971 recall@top3: 0.8922 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0160 2022/12/05 11:06:47 - mmengine - INFO - Epoch(train) [9][1840/4451] lr: 9.3977e-03 eta: 0:58:23 time: 0.4962 data_time: 0.0105 memory: 16785 grad_norm: 0.1179 loss: 0.0153 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.9123 recall@top3: 0.8772 prec@top3: 0.7193 recall@top5: 0.9211 prec@top5: 0.4632 loss_action_cls: 0.0153 2022/12/05 11:06:57 - mmengine - INFO - Epoch(train) [9][1860/4451] lr: 9.3463e-03 eta: 0:58:13 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1185 loss: 0.0158 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.7941 recall@top3: 0.8039 prec@top3: 0.6078 recall@top5: 0.9314 prec@top5: 0.4353 loss_action_cls: 0.0158 2022/12/05 11:07:07 - mmengine - INFO - Epoch(train) [9][1880/4451] lr: 9.2950e-03 eta: 0:58:04 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1236 loss: 0.0147 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6579 recall@top3: 0.8860 prec@top3: 0.6667 recall@top5: 0.9298 prec@top5: 0.4316 loss_action_cls: 0.0147 2022/12/05 11:07:17 - mmengine - INFO - Epoch(train) [9][1900/4451] lr: 9.2438e-03 eta: 0:57:54 time: 0.4974 data_time: 0.0111 memory: 16785 grad_norm: 0.1221 loss: 0.0147 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.9211 recall@top3: 1.0000 prec@top3: 0.5789 recall@top5: 1.0000 prec@top5: 0.3474 loss_action_cls: 0.0147 2022/12/05 11:07:27 - mmengine - INFO - Epoch(train) [9][1920/4451] lr: 9.1928e-03 eta: 0:57:44 time: 0.4972 data_time: 0.0106 memory: 16785 grad_norm: 0.1200 loss: 0.0159 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8367 recall@top3: 0.8833 prec@top3: 0.7111 recall@top5: 0.9167 prec@top5: 0.4533 loss_action_cls: 0.0159 2022/12/05 11:07:37 - mmengine - INFO - Epoch(train) [9][1940/4451] lr: 9.1419e-03 eta: 0:57:34 time: 0.4964 data_time: 0.0113 memory: 16785 grad_norm: 0.1219 loss: 0.0133 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9259 recall@top3: 0.9630 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0133 2022/12/05 11:07:47 - mmengine - INFO - Epoch(train) [9][1960/4451] lr: 9.0911e-03 eta: 0:57:24 time: 0.4964 data_time: 0.0110 memory: 16785 grad_norm: 0.1191 loss: 0.0165 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7879 recall@top3: 0.9129 prec@top3: 0.7273 recall@top5: 0.9697 prec@top5: 0.4818 loss_action_cls: 0.0165 2022/12/05 11:07:57 - mmengine - INFO - Epoch(train) [9][1980/4451] lr: 9.0404e-03 eta: 0:57:14 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1195 loss: 0.0139 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8627 recall@top3: 0.8333 prec@top3: 0.6863 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0139 2022/12/05 11:08:07 - mmengine - INFO - Epoch(train) [9][2000/4451] lr: 8.9899e-03 eta: 0:57:04 time: 0.4972 data_time: 0.0109 memory: 16785 grad_norm: 0.1256 loss: 0.0175 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8864 recall@top3: 0.7727 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0175 2022/12/05 11:08:17 - mmengine - INFO - Epoch(train) [9][2020/4451] lr: 8.9395e-03 eta: 0:56:54 time: 0.4967 data_time: 0.0109 memory: 16785 grad_norm: 0.1176 loss: 0.0167 recall@thr=0.5: 0.8625 prec@thr=0.5: 0.8573 recall@top3: 0.9021 prec@top3: 0.6771 recall@top5: 0.9563 prec@top5: 0.4437 loss_action_cls: 0.0167 2022/12/05 11:08:27 - mmengine - INFO - Epoch(train) [9][2040/4451] lr: 8.8892e-03 eta: 0:56:44 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1206 loss: 0.0172 recall@thr=0.5: 0.7744 prec@thr=0.5: 0.8381 recall@top3: 0.7583 prec@top3: 0.7500 recall@top5: 0.9589 prec@top5: 0.6000 loss_action_cls: 0.0172 2022/12/05 11:08:37 - mmengine - INFO - Epoch(train) [9][2060/4451] lr: 8.8391e-03 eta: 0:56:34 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1208 loss: 0.0167 recall@thr=0.5: 0.5992 prec@thr=0.5: 0.6984 recall@top3: 0.7421 prec@top3: 0.5079 recall@top5: 0.9087 prec@top5: 0.3905 loss_action_cls: 0.0167 2022/12/05 11:08:47 - mmengine - INFO - Epoch(train) [9][2080/4451] lr: 8.7890e-03 eta: 0:56:24 time: 0.4966 data_time: 0.0110 memory: 16785 grad_norm: 0.1199 loss: 0.0157 recall@thr=0.5: 0.8053 prec@thr=0.5: 0.8816 recall@top3: 0.8439 prec@top3: 0.6842 recall@top5: 0.9649 prec@top5: 0.4947 loss_action_cls: 0.0157 2022/12/05 11:08:57 - mmengine - INFO - Epoch(train) [9][2100/4451] lr: 8.7391e-03 eta: 0:56:14 time: 0.4970 data_time: 0.0112 memory: 16785 grad_norm: 0.1260 loss: 0.0163 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.8730 recall@top3: 0.8571 prec@top3: 0.6825 recall@top5: 0.9603 prec@top5: 0.4857 loss_action_cls: 0.0163 2022/12/05 11:09:07 - mmengine - INFO - Epoch(train) [9][2120/4451] lr: 8.6894e-03 eta: 0:56:04 time: 0.4964 data_time: 0.0115 memory: 16785 grad_norm: 0.1219 loss: 0.0156 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.5588 recall@top3: 0.7745 prec@top3: 0.5686 recall@top5: 0.8529 prec@top5: 0.3882 loss_action_cls: 0.0156 2022/12/05 11:09:16 - mmengine - INFO - Epoch(train) [9][2140/4451] lr: 8.6397e-03 eta: 0:55:55 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1218 loss: 0.0137 recall@thr=0.5: 0.8090 prec@thr=0.5: 0.8611 recall@top3: 0.8924 prec@top3: 0.6111 recall@top5: 0.9722 prec@top5: 0.4083 loss_action_cls: 0.0137 2022/12/05 11:09:26 - mmengine - INFO - Epoch(train) [9][2160/4451] lr: 8.5902e-03 eta: 0:55:45 time: 0.4966 data_time: 0.0109 memory: 16785 grad_norm: 0.1243 loss: 0.0165 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.9000 recall@top3: 0.8508 prec@top3: 0.6333 recall@top5: 0.8858 prec@top5: 0.4100 loss_action_cls: 0.0165 2022/12/05 11:09:36 - mmengine - INFO - Epoch(train) [9][2180/4451] lr: 8.5408e-03 eta: 0:55:35 time: 0.4981 data_time: 0.0110 memory: 16785 grad_norm: 0.1209 loss: 0.0156 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.7310 recall@top3: 0.9357 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5071 loss_action_cls: 0.0156 2022/12/05 11:09:46 - mmengine - INFO - Epoch(train) [9][2200/4451] lr: 8.4916e-03 eta: 0:55:25 time: 0.4960 data_time: 0.0110 memory: 16785 grad_norm: 0.1217 loss: 0.0169 recall@thr=0.5: 0.6860 prec@thr=0.5: 0.7807 recall@top3: 0.9053 prec@top3: 0.6667 recall@top5: 0.9789 prec@top5: 0.4421 loss_action_cls: 0.0169 2022/12/05 11:09:56 - mmengine - INFO - Epoch(train) [9][2220/4451] lr: 8.4425e-03 eta: 0:55:15 time: 0.4971 data_time: 0.0106 memory: 16785 grad_norm: 0.1195 loss: 0.0163 recall@thr=0.5: 0.8271 prec@thr=0.5: 0.8854 recall@top3: 0.8813 prec@top3: 0.8125 recall@top5: 0.9844 prec@top5: 0.5750 loss_action_cls: 0.0163 2022/12/05 11:10:06 - mmengine - INFO - Epoch(train) [9][2240/4451] lr: 8.3935e-03 eta: 0:55:05 time: 0.4973 data_time: 0.0112 memory: 16785 grad_norm: 0.1205 loss: 0.0158 recall@thr=0.5: 0.7049 prec@thr=0.5: 0.8194 recall@top3: 0.7778 prec@top3: 0.6528 recall@top5: 0.8889 prec@top5: 0.4500 loss_action_cls: 0.0158 2022/12/05 11:10:16 - mmengine - INFO - Epoch(train) [9][2260/4451] lr: 8.3446e-03 eta: 0:54:55 time: 0.4972 data_time: 0.0113 memory: 16785 grad_norm: 0.1179 loss: 0.0148 recall@thr=0.5: 0.4868 prec@thr=0.5: 0.4649 recall@top3: 0.8246 prec@top3: 0.4912 recall@top5: 0.9474 prec@top5: 0.3684 loss_action_cls: 0.0148 2022/12/05 11:10:26 - mmengine - INFO - Epoch(train) [9][2280/4451] lr: 8.2959e-03 eta: 0:54:45 time: 0.4970 data_time: 0.0111 memory: 16785 grad_norm: 0.1201 loss: 0.0169 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.8222 recall@top3: 0.7472 prec@top3: 0.5667 recall@top5: 0.8500 prec@top5: 0.4000 loss_action_cls: 0.0169 2022/12/05 11:10:36 - mmengine - INFO - Epoch(train) [9][2300/4451] lr: 8.2473e-03 eta: 0:54:35 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1225 loss: 0.0161 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.7083 recall@top3: 0.7639 prec@top3: 0.5833 recall@top5: 0.9514 prec@top5: 0.4500 loss_action_cls: 0.0161 2022/12/05 11:10:46 - mmengine - INFO - Epoch(train) [9][2320/4451] lr: 8.1988e-03 eta: 0:54:25 time: 0.4966 data_time: 0.0113 memory: 16785 grad_norm: 0.1210 loss: 0.0157 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.8947 recall@top3: 0.9035 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4211 loss_action_cls: 0.0157 2022/12/05 11:10:56 - mmengine - INFO - Epoch(train) [9][2340/4451] lr: 8.1504e-03 eta: 0:54:15 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1242 loss: 0.0156 recall@thr=0.5: 0.6694 prec@thr=0.5: 0.7361 recall@top3: 0.8660 prec@top3: 0.7500 recall@top5: 0.9521 prec@top5: 0.5167 loss_action_cls: 0.0156 2022/12/05 11:11:06 - mmengine - INFO - Epoch(train) [9][2360/4451] lr: 8.1022e-03 eta: 0:54:05 time: 0.4980 data_time: 0.0111 memory: 16785 grad_norm: 0.1188 loss: 0.0158 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7500 recall@top3: 0.8125 prec@top3: 0.4583 recall@top5: 0.9062 prec@top5: 0.3125 loss_action_cls: 0.0158 2022/12/05 11:11:16 - mmengine - INFO - Epoch(train) [9][2380/4451] lr: 8.0541e-03 eta: 0:53:55 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1220 loss: 0.0162 recall@thr=0.5: 0.7706 prec@thr=0.5: 0.8461 recall@top3: 0.7912 prec@top3: 0.6471 recall@top5: 0.9000 prec@top5: 0.4706 loss_action_cls: 0.0162 2022/12/05 11:11:22 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 11:11:26 - mmengine - INFO - Epoch(train) [9][2400/4451] lr: 8.0062e-03 eta: 0:53:46 time: 0.4965 data_time: 0.0112 memory: 16785 grad_norm: 0.1202 loss: 0.0151 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.9048 recall@top3: 0.8571 prec@top3: 0.6508 recall@top5: 0.9365 prec@top5: 0.4286 loss_action_cls: 0.0151 2022/12/05 11:11:36 - mmengine - INFO - Epoch(train) [9][2420/4451] lr: 7.9584e-03 eta: 0:53:36 time: 0.4974 data_time: 0.0111 memory: 16785 grad_norm: 0.1179 loss: 0.0151 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8674 recall@top3: 1.0000 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0151 2022/12/05 11:11:46 - mmengine - INFO - Epoch(train) [9][2440/4451] lr: 7.9107e-03 eta: 0:53:26 time: 0.4962 data_time: 0.0113 memory: 16785 grad_norm: 0.1203 loss: 0.0183 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.4630 recall@top5: 0.8889 prec@top5: 0.3000 loss_action_cls: 0.0183 2022/12/05 11:11:56 - mmengine - INFO - Epoch(train) [9][2460/4451] lr: 7.8631e-03 eta: 0:53:16 time: 0.4968 data_time: 0.0110 memory: 16785 grad_norm: 0.1188 loss: 0.0166 recall@thr=0.5: 0.8827 prec@thr=0.5: 0.8981 recall@top3: 0.8765 prec@top3: 0.7778 recall@top5: 0.9383 prec@top5: 0.5111 loss_action_cls: 0.0166 2022/12/05 11:12:06 - mmengine - INFO - Epoch(train) [9][2480/4451] lr: 7.8157e-03 eta: 0:53:06 time: 0.4983 data_time: 0.0112 memory: 16785 grad_norm: 0.1213 loss: 0.0157 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.7396 recall@top3: 0.8854 prec@top3: 0.6042 recall@top5: 0.9479 prec@top5: 0.4000 loss_action_cls: 0.0157 2022/12/05 11:12:15 - mmengine - INFO - Epoch(train) [9][2500/4451] lr: 7.7684e-03 eta: 0:52:56 time: 0.4976 data_time: 0.0108 memory: 16785 grad_norm: 0.1154 loss: 0.0150 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.8667 recall@top3: 0.9111 prec@top3: 0.6667 recall@top5: 0.9111 prec@top5: 0.4000 loss_action_cls: 0.0150 2022/12/05 11:12:25 - mmengine - INFO - Epoch(train) [9][2520/4451] lr: 7.7212e-03 eta: 0:52:46 time: 0.4960 data_time: 0.0109 memory: 16785 grad_norm: 0.1180 loss: 0.0156 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9056 recall@top3: 0.9167 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0156 2022/12/05 11:12:35 - mmengine - INFO - Epoch(train) [9][2540/4451] lr: 7.6742e-03 eta: 0:52:36 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1221 loss: 0.0167 recall@thr=0.5: 0.9556 prec@thr=0.5: 0.9111 recall@top3: 0.9556 prec@top3: 0.6222 recall@top5: 0.9556 prec@top5: 0.3733 loss_action_cls: 0.0167 2022/12/05 11:12:45 - mmengine - INFO - Epoch(train) [9][2560/4451] lr: 7.6273e-03 eta: 0:52:26 time: 0.4966 data_time: 0.0107 memory: 16785 grad_norm: 0.1196 loss: 0.0151 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7500 recall@top3: 0.9537 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0151 2022/12/05 11:12:55 - mmengine - INFO - Epoch(train) [9][2580/4451] lr: 7.5805e-03 eta: 0:52:16 time: 0.4977 data_time: 0.0112 memory: 16785 grad_norm: 0.1175 loss: 0.0159 recall@thr=0.5: 0.8140 prec@thr=0.5: 0.7368 recall@top3: 0.8386 prec@top3: 0.5088 recall@top5: 0.9719 prec@top5: 0.3684 loss_action_cls: 0.0159 2022/12/05 11:13:05 - mmengine - INFO - Epoch(train) [9][2600/4451] lr: 7.5339e-03 eta: 0:52:06 time: 0.4975 data_time: 0.0112 memory: 16785 grad_norm: 0.1172 loss: 0.0178 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4365 recall@top3: 0.6508 prec@top3: 0.5079 recall@top5: 0.8175 prec@top5: 0.3714 loss_action_cls: 0.0178 2022/12/05 11:13:15 - mmengine - INFO - Epoch(train) [9][2620/4451] lr: 7.4874e-03 eta: 0:51:56 time: 0.4968 data_time: 0.0115 memory: 16785 grad_norm: 0.1177 loss: 0.0155 recall@thr=0.5: 0.7267 prec@thr=0.5: 0.8417 recall@top3: 0.7967 prec@top3: 0.6667 recall@top5: 0.8925 prec@top5: 0.4600 loss_action_cls: 0.0155 2022/12/05 11:13:25 - mmengine - INFO - Epoch(train) [9][2640/4451] lr: 7.4410e-03 eta: 0:51:47 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1180 loss: 0.0170 recall@thr=0.5: 0.7135 prec@thr=0.5: 0.6979 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.9271 prec@top5: 0.4312 loss_action_cls: 0.0170 2022/12/05 11:13:35 - mmengine - INFO - Epoch(train) [9][2660/4451] lr: 7.3948e-03 eta: 0:51:37 time: 0.4980 data_time: 0.0114 memory: 16785 grad_norm: 0.1172 loss: 0.0151 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.8611 recall@top3: 0.7247 prec@top3: 0.7980 recall@top5: 0.9444 prec@top5: 0.6303 loss_action_cls: 0.0151 2022/12/05 11:13:45 - mmengine - INFO - Epoch(train) [9][2680/4451] lr: 7.3486e-03 eta: 0:51:27 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1202 loss: 0.0159 recall@thr=0.5: 0.8458 prec@thr=0.5: 0.8375 recall@top3: 0.8583 prec@top3: 0.7333 recall@top5: 0.9833 prec@top5: 0.5100 loss_action_cls: 0.0159 2022/12/05 11:13:55 - mmengine - INFO - Epoch(train) [9][2700/4451] lr: 7.3027e-03 eta: 0:51:17 time: 0.4962 data_time: 0.0111 memory: 16785 grad_norm: 0.1195 loss: 0.0168 recall@thr=0.5: 0.5028 prec@thr=0.5: 0.7639 recall@top3: 0.8417 prec@top3: 0.7778 recall@top5: 0.9812 prec@top5: 0.5583 loss_action_cls: 0.0168 2022/12/05 11:14:05 - mmengine - INFO - Epoch(train) [9][2720/4451] lr: 7.2568e-03 eta: 0:51:07 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1182 loss: 0.0161 recall@thr=0.5: 0.6321 prec@thr=0.5: 0.7531 recall@top3: 0.7179 prec@top3: 0.7037 recall@top5: 0.8586 prec@top5: 0.5259 loss_action_cls: 0.0161 2022/12/05 11:14:15 - mmengine - INFO - Epoch(train) [9][2740/4451] lr: 7.2111e-03 eta: 0:50:57 time: 0.4981 data_time: 0.0110 memory: 16785 grad_norm: 0.1241 loss: 0.0162 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7778 recall@top3: 0.8657 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3889 loss_action_cls: 0.0162 2022/12/05 11:14:25 - mmengine - INFO - Epoch(train) [9][2760/4451] lr: 7.1655e-03 eta: 0:50:47 time: 0.4977 data_time: 0.0110 memory: 16785 grad_norm: 0.1174 loss: 0.0153 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6510 recall@top3: 0.7031 prec@top3: 0.6667 recall@top5: 0.9062 prec@top5: 0.5375 loss_action_cls: 0.0153 2022/12/05 11:14:35 - mmengine - INFO - Epoch(train) [9][2780/4451] lr: 7.1201e-03 eta: 0:50:37 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1206 loss: 0.0149 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7431 recall@top3: 0.9062 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4417 loss_action_cls: 0.0149 2022/12/05 11:14:45 - mmengine - INFO - Epoch(train) [9][2800/4451] lr: 7.0748e-03 eta: 0:50:27 time: 0.4961 data_time: 0.0110 memory: 16785 grad_norm: 0.1179 loss: 0.0151 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8846 recall@top3: 0.8333 prec@top3: 0.5897 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0151 2022/12/05 11:14:55 - mmengine - INFO - Epoch(train) [9][2820/4451] lr: 7.0296e-03 eta: 0:50:17 time: 0.4978 data_time: 0.0114 memory: 16785 grad_norm: 0.1249 loss: 0.0159 recall@thr=0.5: 0.7288 prec@thr=0.5: 0.8485 recall@top3: 0.7705 prec@top3: 0.7424 recall@top5: 0.9023 prec@top5: 0.5545 loss_action_cls: 0.0159 2022/12/05 11:15:05 - mmengine - INFO - Epoch(train) [9][2840/4451] lr: 6.9846e-03 eta: 0:50:07 time: 0.4979 data_time: 0.0113 memory: 16785 grad_norm: 0.1158 loss: 0.0155 recall@thr=0.5: 0.7885 prec@thr=0.5: 0.9231 recall@top3: 0.8974 prec@top3: 0.6667 recall@top5: 0.9359 prec@top5: 0.4231 loss_action_cls: 0.0155 2022/12/05 11:15:14 - mmengine - INFO - Epoch(train) [9][2860/4451] lr: 6.9397e-03 eta: 0:49:57 time: 0.4980 data_time: 0.0110 memory: 16785 grad_norm: 0.1181 loss: 0.0152 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.9020 recall@top3: 0.8922 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.5647 loss_action_cls: 0.0152 2022/12/05 11:15:24 - mmengine - INFO - Epoch(train) [9][2880/4451] lr: 6.8949e-03 eta: 0:49:47 time: 0.4982 data_time: 0.0112 memory: 16785 grad_norm: 0.1202 loss: 0.0173 recall@thr=0.5: 0.8473 prec@thr=0.5: 0.8667 recall@top3: 0.9073 prec@top3: 0.7600 recall@top5: 0.9733 prec@top5: 0.5040 loss_action_cls: 0.0173 2022/12/05 11:15:34 - mmengine - INFO - Epoch(train) [9][2900/4451] lr: 6.8502e-03 eta: 0:49:38 time: 0.4980 data_time: 0.0112 memory: 16785 grad_norm: 0.1201 loss: 0.0166 recall@thr=0.5: 0.9242 prec@thr=0.5: 0.9242 recall@top3: 0.9242 prec@top3: 0.5606 recall@top5: 0.9697 prec@top5: 0.3636 loss_action_cls: 0.0166 2022/12/05 11:15:44 - mmengine - INFO - Epoch(train) [9][2920/4451] lr: 6.8057e-03 eta: 0:49:28 time: 0.4970 data_time: 0.0111 memory: 16785 grad_norm: 0.1200 loss: 0.0160 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7253 recall@top3: 0.7932 prec@top3: 0.6543 recall@top5: 0.9074 prec@top5: 0.4667 loss_action_cls: 0.0160 2022/12/05 11:15:54 - mmengine - INFO - Epoch(train) [9][2940/4451] lr: 6.7614e-03 eta: 0:49:18 time: 0.4964 data_time: 0.0116 memory: 16785 grad_norm: 0.1216 loss: 0.0173 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.9500 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0173 2022/12/05 11:16:04 - mmengine - INFO - Epoch(train) [9][2960/4451] lr: 6.7171e-03 eta: 0:49:08 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1220 loss: 0.0155 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.9167 recall@top3: 0.8333 prec@top3: 0.7407 recall@top5: 0.8796 prec@top5: 0.4778 loss_action_cls: 0.0155 2022/12/05 11:16:14 - mmengine - INFO - Epoch(train) [9][2980/4451] lr: 6.6730e-03 eta: 0:48:58 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1256 loss: 0.0159 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.7500 recall@top3: 0.9470 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.4818 loss_action_cls: 0.0159 2022/12/05 11:16:24 - mmengine - INFO - Epoch(train) [9][3000/4451] lr: 6.6291e-03 eta: 0:48:48 time: 0.4969 data_time: 0.0108 memory: 16785 grad_norm: 0.1208 loss: 0.0162 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8333 recall@top3: 0.8750 prec@top3: 0.7222 recall@top5: 0.9028 prec@top5: 0.4444 loss_action_cls: 0.0162 2022/12/05 11:16:34 - mmengine - INFO - Epoch(train) [9][3020/4451] lr: 6.5852e-03 eta: 0:48:38 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1212 loss: 0.0165 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.7500 recall@top3: 0.8500 prec@top3: 0.4000 recall@top5: 0.9250 prec@top5: 0.2700 loss_action_cls: 0.0165 2022/12/05 11:16:44 - mmengine - INFO - Epoch(train) [9][3040/4451] lr: 6.5415e-03 eta: 0:48:28 time: 0.5004 data_time: 0.0142 memory: 16785 grad_norm: 0.1194 loss: 0.0151 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6667 recall@top3: 0.8571 prec@top3: 0.5952 recall@top5: 0.9286 prec@top5: 0.4000 loss_action_cls: 0.0151 2022/12/05 11:16:54 - mmengine - INFO - Epoch(train) [9][3060/4451] lr: 6.4980e-03 eta: 0:48:18 time: 0.4966 data_time: 0.0108 memory: 16785 grad_norm: 0.1235 loss: 0.0134 recall@thr=0.5: 0.8860 prec@thr=0.5: 0.8509 recall@top3: 0.9386 prec@top3: 0.7368 recall@top5: 0.9737 prec@top5: 0.4632 loss_action_cls: 0.0134 2022/12/05 11:17:04 - mmengine - INFO - Epoch(train) [9][3080/4451] lr: 6.4545e-03 eta: 0:48:08 time: 0.4973 data_time: 0.0112 memory: 16785 grad_norm: 0.1141 loss: 0.0159 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7679 recall@top3: 0.8810 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0159 2022/12/05 11:17:14 - mmengine - INFO - Epoch(train) [9][3100/4451] lr: 6.4112e-03 eta: 0:47:58 time: 0.4971 data_time: 0.0110 memory: 16785 grad_norm: 0.1269 loss: 0.0169 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6771 recall@top3: 0.7083 prec@top3: 0.5208 recall@top5: 0.9479 prec@top5: 0.3875 loss_action_cls: 0.0169 2022/12/05 11:17:24 - mmengine - INFO - Epoch(train) [9][3120/4451] lr: 6.3681e-03 eta: 0:47:48 time: 0.4974 data_time: 0.0108 memory: 16785 grad_norm: 0.1284 loss: 0.0173 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7745 recall@top3: 0.9804 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0173 2022/12/05 11:17:34 - mmengine - INFO - Epoch(train) [9][3140/4451] lr: 6.3251e-03 eta: 0:47:39 time: 0.4976 data_time: 0.0111 memory: 16785 grad_norm: 0.1242 loss: 0.0155 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.7647 recall@top3: 0.9461 prec@top3: 0.6078 recall@top5: 0.9804 prec@top5: 0.3882 loss_action_cls: 0.0155 2022/12/05 11:17:44 - mmengine - INFO - Epoch(train) [9][3160/4451] lr: 6.2822e-03 eta: 0:47:29 time: 0.4976 data_time: 0.0112 memory: 16785 grad_norm: 0.1187 loss: 0.0152 recall@thr=0.5: 0.8300 prec@thr=0.5: 0.8700 recall@top3: 0.8533 prec@top3: 0.7467 recall@top5: 0.9267 prec@top5: 0.4960 loss_action_cls: 0.0152 2022/12/05 11:17:54 - mmengine - INFO - Epoch(train) [9][3180/4451] lr: 6.2394e-03 eta: 0:47:19 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1173 loss: 0.0172 recall@thr=0.5: 0.6506 prec@thr=0.5: 0.7885 recall@top3: 0.7821 prec@top3: 0.6282 recall@top5: 0.9295 prec@top5: 0.4385 loss_action_cls: 0.0172 2022/12/05 11:18:04 - mmengine - INFO - Epoch(train) [9][3200/4451] lr: 6.1968e-03 eta: 0:47:09 time: 0.4972 data_time: 0.0113 memory: 16785 grad_norm: 0.1201 loss: 0.0147 recall@thr=0.5: 0.7118 prec@thr=0.5: 0.6941 recall@top3: 0.8824 prec@top3: 0.6667 recall@top5: 0.9765 prec@top5: 0.4706 loss_action_cls: 0.0147 2022/12/05 11:18:14 - mmengine - INFO - Epoch(train) [9][3220/4451] lr: 6.1544e-03 eta: 0:46:59 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1207 loss: 0.0151 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.8289 recall@top3: 0.7325 prec@top3: 0.6842 recall@top5: 0.8509 prec@top5: 0.4947 loss_action_cls: 0.0151 2022/12/05 11:18:24 - mmengine - INFO - Epoch(train) [9][3240/4451] lr: 6.1120e-03 eta: 0:46:49 time: 0.4977 data_time: 0.0112 memory: 16785 grad_norm: 0.1192 loss: 0.0152 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7292 recall@top3: 0.7708 prec@top3: 0.6458 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0152 2022/12/05 11:18:33 - mmengine - INFO - Epoch(train) [9][3260/4451] lr: 6.0698e-03 eta: 0:46:39 time: 0.4973 data_time: 0.0116 memory: 16785 grad_norm: 0.1195 loss: 0.0150 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7632 recall@top3: 0.8421 prec@top3: 0.6491 recall@top5: 0.9386 prec@top5: 0.4421 loss_action_cls: 0.0150 2022/12/05 11:18:43 - mmengine - INFO - Epoch(train) [9][3280/4451] lr: 6.0277e-03 eta: 0:46:29 time: 0.4970 data_time: 0.0112 memory: 16785 grad_norm: 0.1204 loss: 0.0146 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7353 recall@top3: 0.8431 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0146 2022/12/05 11:18:53 - mmengine - INFO - Epoch(train) [9][3300/4451] lr: 5.9858e-03 eta: 0:46:19 time: 0.4968 data_time: 0.0114 memory: 16785 grad_norm: 0.1211 loss: 0.0149 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6136 recall@top3: 0.8864 prec@top3: 0.5152 recall@top5: 0.9545 prec@top5: 0.3273 loss_action_cls: 0.0149 2022/12/05 11:19:03 - mmengine - INFO - Epoch(train) [9][3320/4451] lr: 5.9440e-03 eta: 0:46:09 time: 0.4973 data_time: 0.0111 memory: 16785 grad_norm: 0.1216 loss: 0.0164 recall@thr=0.5: 0.7867 prec@thr=0.5: 0.8000 recall@top3: 0.8700 prec@top3: 0.6400 recall@top5: 0.9300 prec@top5: 0.4080 loss_action_cls: 0.0164 2022/12/05 11:19:13 - mmengine - INFO - Epoch(train) [9][3340/4451] lr: 5.9024e-03 eta: 0:45:59 time: 0.4970 data_time: 0.0109 memory: 16785 grad_norm: 0.1182 loss: 0.0158 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8264 recall@top3: 0.8819 prec@top3: 0.5694 recall@top5: 0.9861 prec@top5: 0.4000 loss_action_cls: 0.0158 2022/12/05 11:19:23 - mmengine - INFO - Epoch(train) [9][3360/4451] lr: 5.8609e-03 eta: 0:45:49 time: 0.4967 data_time: 0.0114 memory: 16785 grad_norm: 0.1212 loss: 0.0130 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.7255 recall@top3: 0.8137 prec@top3: 0.4902 recall@top5: 0.9804 prec@top5: 0.3529 loss_action_cls: 0.0130 2022/12/05 11:19:33 - mmengine - INFO - Epoch(train) [9][3380/4451] lr: 5.8195e-03 eta: 0:45:39 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1219 loss: 0.0151 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9545 recall@top3: 0.9735 prec@top3: 0.8030 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0151 2022/12/05 11:19:39 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 11:19:43 - mmengine - INFO - Epoch(train) [9][3400/4451] lr: 5.7782e-03 eta: 0:45:30 time: 0.4963 data_time: 0.0112 memory: 16785 grad_norm: 0.1242 loss: 0.0147 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6296 recall@top3: 0.7963 prec@top3: 0.4630 recall@top5: 0.9167 prec@top5: 0.3222 loss_action_cls: 0.0147 2022/12/05 11:19:53 - mmengine - INFO - Epoch(train) [9][3420/4451] lr: 5.7371e-03 eta: 0:45:20 time: 0.4983 data_time: 0.0113 memory: 16785 grad_norm: 0.1204 loss: 0.0148 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.7708 recall@top3: 0.9062 prec@top3: 0.5833 recall@top5: 0.9688 prec@top5: 0.3875 loss_action_cls: 0.0148 2022/12/05 11:20:03 - mmengine - INFO - Epoch(train) [9][3440/4451] lr: 5.6962e-03 eta: 0:45:10 time: 0.4974 data_time: 0.0114 memory: 16785 grad_norm: 0.1196 loss: 0.0151 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8333 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0151 2022/12/05 11:20:13 - mmengine - INFO - Epoch(train) [9][3460/4451] lr: 5.6553e-03 eta: 0:45:00 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1231 loss: 0.0138 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.9242 recall@top3: 0.9167 prec@top3: 0.7121 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0138 2022/12/05 11:20:23 - mmengine - INFO - Epoch(train) [9][3480/4451] lr: 5.6147e-03 eta: 0:44:50 time: 0.4978 data_time: 0.0113 memory: 16785 grad_norm: 0.1203 loss: 0.0170 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.6333 recall@top3: 0.8333 prec@top3: 0.5667 recall@top5: 0.9250 prec@top5: 0.4100 loss_action_cls: 0.0170 2022/12/05 11:20:33 - mmengine - INFO - Epoch(train) [9][3500/4451] lr: 5.5741e-03 eta: 0:44:40 time: 0.4979 data_time: 0.0115 memory: 16785 grad_norm: 0.1265 loss: 0.0150 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8050 recall@top3: 0.7667 prec@top3: 0.7500 recall@top5: 0.9417 prec@top5: 0.5700 loss_action_cls: 0.0150 2022/12/05 11:20:43 - mmengine - INFO - Epoch(train) [9][3520/4451] lr: 5.5337e-03 eta: 0:44:30 time: 0.4979 data_time: 0.0117 memory: 16785 grad_norm: 0.1317 loss: 0.0168 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6094 recall@top3: 0.7708 prec@top3: 0.5833 recall@top5: 0.8542 prec@top5: 0.3875 loss_action_cls: 0.0168 2022/12/05 11:20:53 - mmengine - INFO - Epoch(train) [9][3540/4451] lr: 5.4934e-03 eta: 0:44:20 time: 0.4975 data_time: 0.0113 memory: 16785 grad_norm: 0.1229 loss: 0.0147 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7281 recall@top3: 0.8114 prec@top3: 0.7193 recall@top5: 0.9605 prec@top5: 0.5368 loss_action_cls: 0.0147 2022/12/05 11:21:03 - mmengine - INFO - Epoch(train) [9][3560/4451] lr: 5.4533e-03 eta: 0:44:10 time: 0.4966 data_time: 0.0113 memory: 16785 grad_norm: 0.1241 loss: 0.0155 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.7843 recall@top3: 0.8088 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4353 loss_action_cls: 0.0155 2022/12/05 11:21:13 - mmengine - INFO - Epoch(train) [9][3580/4451] lr: 5.4133e-03 eta: 0:44:00 time: 0.4974 data_time: 0.0114 memory: 16785 grad_norm: 0.1216 loss: 0.0172 recall@thr=0.5: 0.6104 prec@thr=0.5: 0.6250 recall@top3: 0.7271 prec@top3: 0.5000 recall@top5: 0.8500 prec@top5: 0.3875 loss_action_cls: 0.0172 2022/12/05 11:21:23 - mmengine - INFO - Epoch(train) [9][3600/4451] lr: 5.3734e-03 eta: 0:43:50 time: 0.4972 data_time: 0.0116 memory: 16785 grad_norm: 0.1231 loss: 0.0153 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8431 recall@top3: 0.7941 prec@top3: 0.7059 recall@top5: 0.8284 prec@top5: 0.4471 loss_action_cls: 0.0153 2022/12/05 11:21:33 - mmengine - INFO - Epoch(train) [9][3620/4451] lr: 5.3337e-03 eta: 0:43:40 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1191 loss: 0.0162 recall@thr=0.5: 0.9321 prec@thr=0.5: 0.9630 recall@top3: 0.9043 prec@top3: 0.8148 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0162 2022/12/05 11:21:43 - mmengine - INFO - Epoch(train) [9][3640/4451] lr: 5.2941e-03 eta: 0:43:31 time: 0.4975 data_time: 0.0115 memory: 16785 grad_norm: 0.1193 loss: 0.0156 recall@thr=0.5: 0.7827 prec@thr=0.5: 0.9018 recall@top3: 0.8452 prec@top3: 0.7500 recall@top5: 0.9613 prec@top5: 0.5357 loss_action_cls: 0.0156 2022/12/05 11:21:52 - mmengine - INFO - Epoch(train) [9][3660/4451] lr: 5.2547e-03 eta: 0:43:21 time: 0.4984 data_time: 0.0115 memory: 16785 grad_norm: 0.1247 loss: 0.0151 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7143 recall@top3: 0.8929 prec@top3: 0.5357 recall@top5: 0.9762 prec@top5: 0.3571 loss_action_cls: 0.0151 2022/12/05 11:22:02 - mmengine - INFO - Epoch(train) [9][3680/4451] lr: 5.2154e-03 eta: 0:43:11 time: 0.4973 data_time: 0.0111 memory: 16785 grad_norm: 0.1175 loss: 0.0159 recall@thr=0.5: 0.6343 prec@thr=0.5: 0.7037 recall@top3: 0.7454 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4778 loss_action_cls: 0.0159 2022/12/05 11:22:12 - mmengine - INFO - Epoch(train) [9][3700/4451] lr: 5.1762e-03 eta: 0:43:01 time: 0.4974 data_time: 0.0112 memory: 16785 grad_norm: 0.1239 loss: 0.0158 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8571 recall@top3: 0.8532 prec@top3: 0.6508 recall@top5: 0.9881 prec@top5: 0.4571 loss_action_cls: 0.0158 2022/12/05 11:22:22 - mmengine - INFO - Epoch(train) [9][3720/4451] lr: 5.1372e-03 eta: 0:42:51 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1246 loss: 0.0148 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.8824 recall@top3: 0.9314 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0148 2022/12/05 11:22:32 - mmengine - INFO - Epoch(train) [9][3740/4451] lr: 5.0983e-03 eta: 0:42:41 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1248 loss: 0.0169 recall@thr=0.5: 0.8728 prec@thr=0.5: 0.9474 recall@top3: 0.9868 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.3895 loss_action_cls: 0.0169 2022/12/05 11:22:42 - mmengine - INFO - Epoch(train) [9][3760/4451] lr: 5.0596e-03 eta: 0:42:31 time: 0.4973 data_time: 0.0117 memory: 16785 grad_norm: 0.1175 loss: 0.0160 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8613 recall@top3: 0.8015 prec@top3: 0.8137 recall@top5: 0.9485 prec@top5: 0.5824 loss_action_cls: 0.0160 2022/12/05 11:22:52 - mmengine - INFO - Epoch(train) [9][3780/4451] lr: 5.0210e-03 eta: 0:42:21 time: 0.4973 data_time: 0.0111 memory: 16785 grad_norm: 0.1207 loss: 0.0170 recall@thr=0.5: 0.4773 prec@thr=0.5: 0.4848 recall@top3: 0.8523 prec@top3: 0.5152 recall@top5: 0.9318 prec@top5: 0.3364 loss_action_cls: 0.0170 2022/12/05 11:23:02 - mmengine - INFO - Epoch(train) [9][3800/4451] lr: 4.9825e-03 eta: 0:42:11 time: 0.4969 data_time: 0.0119 memory: 16785 grad_norm: 0.1219 loss: 0.0158 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8750 recall@top3: 0.7917 prec@top3: 0.5208 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0158 2022/12/05 11:23:12 - mmengine - INFO - Epoch(train) [9][3820/4451] lr: 4.9442e-03 eta: 0:42:01 time: 0.4974 data_time: 0.0117 memory: 16785 grad_norm: 0.1177 loss: 0.0161 recall@thr=0.5: 0.4630 prec@thr=0.5: 0.5278 recall@top3: 0.8194 prec@top3: 0.5926 recall@top5: 0.9306 prec@top5: 0.4333 loss_action_cls: 0.0161 2022/12/05 11:23:22 - mmengine - INFO - Epoch(train) [9][3840/4451] lr: 4.9060e-03 eta: 0:41:51 time: 0.4965 data_time: 0.0107 memory: 16785 grad_norm: 0.1283 loss: 0.0168 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.6961 recall@top3: 0.7059 prec@top3: 0.5098 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0168 2022/12/05 11:23:32 - mmengine - INFO - Epoch(train) [9][3860/4451] lr: 4.8680e-03 eta: 0:41:41 time: 0.4968 data_time: 0.0112 memory: 16785 grad_norm: 0.1225 loss: 0.0149 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8889 recall@top3: 0.9722 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0149 2022/12/05 11:23:42 - mmengine - INFO - Epoch(train) [9][3880/4451] lr: 4.8300e-03 eta: 0:41:31 time: 0.4980 data_time: 0.0110 memory: 16785 grad_norm: 0.1170 loss: 0.0166 recall@thr=0.5: 0.8478 prec@thr=0.5: 0.9275 recall@top3: 0.9420 prec@top3: 0.8841 recall@top5: 0.9855 prec@top5: 0.5652 loss_action_cls: 0.0166 2022/12/05 11:23:52 - mmengine - INFO - Epoch(train) [9][3900/4451] lr: 4.7923e-03 eta: 0:41:22 time: 0.4991 data_time: 0.0124 memory: 16785 grad_norm: 0.1198 loss: 0.0155 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7135 recall@top3: 0.8438 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0155 2022/12/05 11:24:02 - mmengine - INFO - Epoch(train) [9][3920/4451] lr: 4.7547e-03 eta: 0:41:12 time: 0.4969 data_time: 0.0110 memory: 16785 grad_norm: 0.1186 loss: 0.0176 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.5873 recall@top3: 0.8413 prec@top3: 0.4444 recall@top5: 0.9524 prec@top5: 0.3048 loss_action_cls: 0.0176 2022/12/05 11:24:12 - mmengine - INFO - Epoch(train) [9][3940/4451] lr: 4.7172e-03 eta: 0:41:02 time: 0.4975 data_time: 0.0113 memory: 16785 grad_norm: 0.1267 loss: 0.0141 recall@thr=0.5: 0.7148 prec@thr=0.5: 0.8333 recall@top3: 0.8259 prec@top3: 0.6852 recall@top5: 0.9778 prec@top5: 0.5333 loss_action_cls: 0.0141 2022/12/05 11:24:22 - mmengine - INFO - Epoch(train) [9][3960/4451] lr: 4.6798e-03 eta: 0:40:52 time: 0.4977 data_time: 0.0114 memory: 16785 grad_norm: 0.1188 loss: 0.0153 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9321 recall@top3: 0.8704 prec@top3: 0.7407 recall@top5: 0.9815 prec@top5: 0.5259 loss_action_cls: 0.0153 2022/12/05 11:24:32 - mmengine - INFO - Epoch(train) [9][3980/4451] lr: 4.6426e-03 eta: 0:40:42 time: 0.4974 data_time: 0.0109 memory: 16785 grad_norm: 0.1171 loss: 0.0165 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6917 recall@top3: 0.8500 prec@top3: 0.5167 recall@top5: 0.9667 prec@top5: 0.3700 loss_action_cls: 0.0165 2022/12/05 11:24:42 - mmengine - INFO - Epoch(train) [9][4000/4451] lr: 4.6056e-03 eta: 0:40:32 time: 0.4978 data_time: 0.0122 memory: 16785 grad_norm: 0.1208 loss: 0.0173 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7708 recall@top3: 0.8472 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.4833 loss_action_cls: 0.0173 2022/12/05 11:24:52 - mmengine - INFO - Epoch(train) [9][4020/4451] lr: 4.5687e-03 eta: 0:40:22 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1208 loss: 0.0154 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.8772 recall@top3: 0.7982 prec@top3: 0.7368 recall@top5: 0.9825 prec@top5: 0.5684 loss_action_cls: 0.0154 2022/12/05 11:25:02 - mmengine - INFO - Epoch(train) [9][4040/4451] lr: 4.5319e-03 eta: 0:40:12 time: 0.4970 data_time: 0.0116 memory: 16785 grad_norm: 0.1210 loss: 0.0166 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.9667 prec@top3: 0.7000 recall@top5: 0.9667 prec@top5: 0.4200 loss_action_cls: 0.0166 2022/12/05 11:25:12 - mmengine - INFO - Epoch(train) [9][4060/4451] lr: 4.4953e-03 eta: 0:40:02 time: 0.4988 data_time: 0.0127 memory: 16785 grad_norm: 0.1252 loss: 0.0164 recall@thr=0.5: 0.8284 prec@thr=0.5: 0.9196 recall@top3: 0.8843 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5647 loss_action_cls: 0.0164 2022/12/05 11:25:21 - mmengine - INFO - Epoch(train) [9][4080/4451] lr: 4.4588e-03 eta: 0:39:52 time: 0.4964 data_time: 0.0113 memory: 16785 grad_norm: 0.1180 loss: 0.0165 recall@thr=0.5: 0.6421 prec@thr=0.5: 0.8158 recall@top3: 0.8474 prec@top3: 0.5439 recall@top5: 0.9351 prec@top5: 0.3789 loss_action_cls: 0.0165 2022/12/05 11:25:31 - mmengine - INFO - Epoch(train) [9][4100/4451] lr: 4.4224e-03 eta: 0:39:42 time: 0.4970 data_time: 0.0113 memory: 16785 grad_norm: 0.1213 loss: 0.0168 recall@thr=0.5: 0.6306 prec@thr=0.5: 0.7778 recall@top3: 0.8139 prec@top3: 0.6333 recall@top5: 0.8722 prec@top5: 0.4067 loss_action_cls: 0.0168 2022/12/05 11:25:41 - mmengine - INFO - Epoch(train) [9][4120/4451] lr: 4.3862e-03 eta: 0:39:32 time: 0.4975 data_time: 0.0114 memory: 16785 grad_norm: 0.1200 loss: 0.0155 recall@thr=0.5: 0.8869 prec@thr=0.5: 0.8780 recall@top3: 0.9345 prec@top3: 0.6786 recall@top5: 0.9821 prec@top5: 0.4214 loss_action_cls: 0.0155 2022/12/05 11:25:51 - mmengine - INFO - Epoch(train) [9][4140/4451] lr: 4.3502e-03 eta: 0:39:22 time: 0.4978 data_time: 0.0109 memory: 16785 grad_norm: 0.1228 loss: 0.0154 recall@thr=0.5: 0.6732 prec@thr=0.5: 0.8043 recall@top3: 0.8036 prec@top3: 0.8116 recall@top5: 0.9478 prec@top5: 0.6000 loss_action_cls: 0.0154 2022/12/05 11:26:01 - mmengine - INFO - Epoch(train) [9][4160/4451] lr: 4.3142e-03 eta: 0:39:13 time: 0.4990 data_time: 0.0110 memory: 16785 grad_norm: 0.1222 loss: 0.0180 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.8646 prec@top3: 0.6667 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0180 2022/12/05 11:26:11 - mmengine - INFO - Epoch(train) [9][4180/4451] lr: 4.2785e-03 eta: 0:39:03 time: 0.4978 data_time: 0.0114 memory: 16785 grad_norm: 0.1234 loss: 0.0145 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7222 recall@top3: 0.8889 prec@top3: 0.6481 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0145 2022/12/05 11:26:21 - mmengine - INFO - Epoch(train) [9][4200/4451] lr: 4.2428e-03 eta: 0:38:53 time: 0.4962 data_time: 0.0108 memory: 16785 grad_norm: 0.1235 loss: 0.0160 recall@thr=0.5: 0.7454 prec@thr=0.5: 0.8241 recall@top3: 0.8056 prec@top3: 0.5926 recall@top5: 0.9537 prec@top5: 0.4556 loss_action_cls: 0.0160 2022/12/05 11:26:31 - mmengine - INFO - Epoch(train) [9][4220/4451] lr: 4.2073e-03 eta: 0:38:43 time: 0.4970 data_time: 0.0114 memory: 16785 grad_norm: 0.1265 loss: 0.0175 recall@thr=0.5: 0.4912 prec@thr=0.5: 0.5482 recall@top3: 0.5439 prec@top3: 0.4386 recall@top5: 0.6754 prec@top5: 0.3158 loss_action_cls: 0.0175 2022/12/05 11:26:41 - mmengine - INFO - Epoch(train) [9][4240/4451] lr: 4.1720e-03 eta: 0:38:33 time: 0.4990 data_time: 0.0106 memory: 16785 grad_norm: 0.1192 loss: 0.0152 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.7283 recall@top3: 0.8696 prec@top3: 0.5217 recall@top5: 0.9348 prec@top5: 0.3478 loss_action_cls: 0.0152 2022/12/05 11:26:51 - mmengine - INFO - Epoch(train) [9][4260/4451] lr: 4.1368e-03 eta: 0:38:23 time: 0.4977 data_time: 0.0110 memory: 16785 grad_norm: 0.1206 loss: 0.0168 recall@thr=0.5: 0.6092 prec@thr=0.5: 0.7069 recall@top3: 0.6868 prec@top3: 0.5632 recall@top5: 0.8506 prec@top5: 0.4345 loss_action_cls: 0.0168 2022/12/05 11:27:01 - mmengine - INFO - Epoch(train) [9][4280/4451] lr: 4.1017e-03 eta: 0:38:13 time: 0.4970 data_time: 0.0113 memory: 16785 grad_norm: 0.1228 loss: 0.0150 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.8437 recall@top3: 0.8802 prec@top3: 0.6875 recall@top5: 0.9844 prec@top5: 0.4500 loss_action_cls: 0.0150 2022/12/05 11:27:11 - mmengine - INFO - Epoch(train) [9][4300/4451] lr: 4.0668e-03 eta: 0:38:03 time: 0.4975 data_time: 0.0112 memory: 16785 grad_norm: 0.1196 loss: 0.0138 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8111 recall@top3: 0.9000 prec@top3: 0.5333 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0138 2022/12/05 11:27:21 - mmengine - INFO - Epoch(train) [9][4320/4451] lr: 4.0320e-03 eta: 0:37:53 time: 0.4980 data_time: 0.0112 memory: 16785 grad_norm: 0.1244 loss: 0.0159 recall@thr=0.5: 0.7840 prec@thr=0.5: 0.8426 recall@top3: 0.9012 prec@top3: 0.7160 recall@top5: 0.9753 prec@top5: 0.4741 loss_action_cls: 0.0159 2022/12/05 11:27:31 - mmengine - INFO - Epoch(train) [9][4340/4451] lr: 3.9973e-03 eta: 0:37:43 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1229 loss: 0.0180 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9722 recall@top3: 0.9352 prec@top3: 0.8889 recall@top5: 1.0000 prec@top5: 0.5778 loss_action_cls: 0.0180 2022/12/05 11:27:41 - mmengine - INFO - Epoch(train) [9][4360/4451] lr: 3.9629e-03 eta: 0:37:33 time: 0.4977 data_time: 0.0112 memory: 16785 grad_norm: 0.1208 loss: 0.0141 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9333 recall@top3: 0.9361 prec@top3: 0.6889 recall@top5: 0.9889 prec@top5: 0.4467 loss_action_cls: 0.0141 2022/12/05 11:27:51 - mmengine - INFO - Epoch(train) [9][4380/4451] lr: 3.9285e-03 eta: 0:37:23 time: 0.4977 data_time: 0.0118 memory: 16785 grad_norm: 0.1199 loss: 0.0168 recall@thr=0.5: 0.8365 prec@thr=0.5: 0.8564 recall@top3: 0.8654 prec@top3: 0.7564 recall@top5: 0.9872 prec@top5: 0.5385 loss_action_cls: 0.0168 2022/12/05 11:27:57 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 11:28:01 - mmengine - INFO - Epoch(train) [9][4400/4451] lr: 3.8943e-03 eta: 0:37:14 time: 0.4968 data_time: 0.0109 memory: 16785 grad_norm: 0.1235 loss: 0.0172 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7778 recall@top3: 0.8611 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4556 loss_action_cls: 0.0172 2022/12/05 11:28:11 - mmengine - INFO - Epoch(train) [9][4420/4451] lr: 3.8602e-03 eta: 0:37:04 time: 0.4978 data_time: 0.0116 memory: 16785 grad_norm: 0.1263 loss: 0.0180 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7281 recall@top3: 0.8947 prec@top3: 0.5965 recall@top5: 0.9649 prec@top5: 0.4000 loss_action_cls: 0.0180 2022/12/05 11:28:21 - mmengine - INFO - Epoch(train) [9][4440/4451] lr: 3.8263e-03 eta: 0:36:54 time: 0.4973 data_time: 0.0106 memory: 16785 grad_norm: 0.1184 loss: 0.0150 recall@thr=0.5: 0.7421 prec@thr=0.5: 0.7460 recall@top3: 0.9008 prec@top3: 0.7143 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0150 2022/12/05 11:28:26 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 11:28:26 - mmengine - INFO - Epoch(train) [9][4451/4451] lr: 3.8077e-03 eta: 0:36:48 time: 0.4919 data_time: 0.0114 memory: 16785 grad_norm: 0.1217 loss: 0.0149 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.9286 recall@top3: 0.7702 prec@top3: 0.8571 recall@top5: 1.0000 prec@top5: 0.6857 loss_action_cls: 0.0149 2022/12/05 11:28:26 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/12/05 11:28:31 - mmengine - INFO - Epoch(val) [9][ 20/6282] eta: 0:04:32 time: 0.0435 data_time: 0.0058 memory: 1088 2022/12/05 11:28:32 - mmengine - INFO - Epoch(val) [9][ 40/6282] eta: 0:04:15 time: 0.0384 data_time: 0.0020 memory: 1088 2022/12/05 11:28:32 - mmengine - INFO - Epoch(val) [9][ 60/6282] eta: 0:04:09 time: 0.0382 data_time: 0.0020 memory: 1088 2022/12/05 11:28:33 - mmengine - INFO - Epoch(val) [9][ 80/6282] eta: 0:04:05 time: 0.0380 data_time: 0.0019 memory: 1088 2022/12/05 11:28:34 - mmengine - INFO - Epoch(val) [9][ 100/6282] eta: 0:04:02 time: 0.0381 data_time: 0.0020 memory: 1088 2022/12/05 11:28:35 - mmengine - INFO - Epoch(val) [9][ 120/6282] eta: 0:04:11 time: 0.0483 data_time: 0.0021 memory: 1231 2022/12/05 11:28:36 - mmengine - INFO - Epoch(val) [9][ 140/6282] eta: 0:04:22 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 11:28:37 - mmengine - INFO - Epoch(val) [9][ 160/6282] eta: 0:04:29 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 11:28:38 - mmengine - INFO - Epoch(val) [9][ 180/6282] eta: 0:04:35 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 11:28:39 - mmengine - INFO - Epoch(val) [9][ 200/6282] eta: 0:04:39 time: 0.0529 data_time: 0.0022 memory: 1231 2022/12/05 11:28:40 - mmengine - INFO - Epoch(val) [9][ 220/6282] eta: 0:04:36 time: 0.0427 data_time: 0.0021 memory: 1113 2022/12/05 11:28:41 - mmengine - INFO - Epoch(val) [9][ 240/6282] eta: 0:04:34 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 11:28:42 - mmengine - INFO - Epoch(val) [9][ 260/6282] eta: 0:04:32 time: 0.0432 data_time: 0.0024 memory: 1113 2022/12/05 11:28:43 - mmengine - INFO - Epoch(val) [9][ 280/6282] eta: 0:04:30 time: 0.0425 data_time: 0.0021 memory: 1113 2022/12/05 11:28:44 - mmengine - INFO - Epoch(val) [9][ 300/6282] eta: 0:04:30 time: 0.0481 data_time: 0.0024 memory: 1231 2022/12/05 11:28:45 - mmengine - INFO - Epoch(val) [9][ 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0:04:28 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 11:28:53 - mmengine - INFO - Epoch(val) [9][ 500/6282] eta: 0:04:26 time: 0.0421 data_time: 0.0020 memory: 1122 2022/12/05 11:28:54 - mmengine - INFO - Epoch(val) [9][ 520/6282] eta: 0:04:25 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 11:28:55 - mmengine - INFO - Epoch(val) [9][ 540/6282] eta: 0:04:23 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 11:28:56 - mmengine - INFO - Epoch(val) [9][ 560/6282] eta: 0:04:21 time: 0.0417 data_time: 0.0018 memory: 1113 2022/12/05 11:28:56 - mmengine - INFO - Epoch(val) [9][ 580/6282] eta: 0:04:19 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 11:28:57 - mmengine - INFO - Epoch(val) [9][ 600/6282] eta: 0:04:18 time: 0.0431 data_time: 0.0026 memory: 1113 2022/12/05 11:28:58 - mmengine - INFO - Epoch(val) [9][ 620/6282] eta: 0:04:16 time: 0.0422 data_time: 0.0024 memory: 1113 2022/12/05 11:28:59 - mmengine - INFO - Epoch(val) [9][ 640/6282] eta: 0:04:15 time: 0.0413 data_time: 0.0021 memory: 1105 2022/12/05 11:29:00 - mmengine - INFO - Epoch(val) [9][ 660/6282] eta: 0:04:13 time: 0.0417 data_time: 0.0024 memory: 1105 2022/12/05 11:29:01 - mmengine - INFO - Epoch(val) [9][ 680/6282] eta: 0:04:12 time: 0.0408 data_time: 0.0019 memory: 1105 2022/12/05 11:29:01 - mmengine - INFO - Epoch(val) [9][ 700/6282] eta: 0:04:10 time: 0.0412 data_time: 0.0021 memory: 1105 2022/12/05 11:29:03 - mmengine - INFO - Epoch(val) [9][ 720/6282] eta: 0:04:13 time: 0.0663 data_time: 0.0177 memory: 1231 2022/12/05 11:29:05 - mmengine - INFO - Epoch(val) [9][ 740/6282] eta: 0:04:18 time: 0.0901 data_time: 0.0379 memory: 1231 2022/12/05 11:29:06 - mmengine - INFO - Epoch(val) [9][ 760/6282] eta: 0:04:20 time: 0.0671 data_time: 0.0151 memory: 1231 2022/12/05 11:29:07 - mmengine - INFO - Epoch(val) [9][ 780/6282] eta: 0:04:20 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 11:29:08 - mmengine - INFO - Epoch(val) [9][ 800/6282] eta: 0:04:20 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 11:29:09 - mmengine - INFO - Epoch(val) [9][ 820/6282] eta: 0:04:20 time: 0.0501 data_time: 0.0023 memory: 1231 2022/12/05 11:29:10 - mmengine - INFO - Epoch(val) [9][ 840/6282] eta: 0:04:18 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 11:29:11 - mmengine - INFO - Epoch(val) [9][ 860/6282] eta: 0:04:16 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:29:12 - mmengine - INFO - Epoch(val) [9][ 880/6282] eta: 0:04:15 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 11:29:13 - mmengine - INFO - Epoch(val) [9][ 900/6282] eta: 0:04:13 time: 0.0434 data_time: 0.0020 memory: 1113 2022/12/05 11:29:13 - mmengine - INFO - Epoch(val) [9][ 920/6282] eta: 0:04:12 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 11:29:14 - mmengine - INFO - Epoch(val) [9][ 940/6282] eta: 0:04:10 time: 0.0379 data_time: 0.0019 memory: 1088 2022/12/05 11:29:15 - mmengine - INFO - Epoch(val) [9][ 960/6282] eta: 0:04:08 time: 0.0377 data_time: 0.0019 memory: 1088 2022/12/05 11:29:16 - mmengine - INFO - Epoch(val) [9][ 980/6282] eta: 0:04:06 time: 0.0379 data_time: 0.0020 memory: 1088 2022/12/05 11:29:16 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:04:04 time: 0.0380 data_time: 0.0020 memory: 1088 2022/12/05 11:29:17 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:04:02 time: 0.0385 data_time: 0.0020 memory: 1113 2022/12/05 11:29:18 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:04:01 time: 0.0418 data_time: 0.0019 memory: 1113 2022/12/05 11:29:19 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:04:01 time: 0.0498 data_time: 0.0098 memory: 1113 2022/12/05 11:29:20 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:03:59 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:29:21 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:03:58 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 11:29:22 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:03:57 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:29:22 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:03:55 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 11:29:23 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:03:54 time: 0.0430 data_time: 0.0023 memory: 1113 2022/12/05 11:29:24 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:03:53 time: 0.0427 data_time: 0.0021 memory: 1113 2022/12/05 11:29:25 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:03:52 time: 0.0431 data_time: 0.0024 memory: 1113 2022/12/05 11:29:26 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:03:51 time: 0.0430 data_time: 0.0022 memory: 1113 2022/12/05 11:29:27 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:03:52 time: 0.0784 data_time: 0.0266 memory: 1231 2022/12/05 11:29:29 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:03:54 time: 0.0745 data_time: 0.0222 memory: 1231 2022/12/05 11:29:31 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:03:56 time: 0.0862 data_time: 0.0337 memory: 1231 2022/12/05 11:29:32 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:03:57 time: 0.0774 data_time: 0.0255 memory: 1231 2022/12/05 11:29:34 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:03:59 time: 0.0835 data_time: 0.0315 memory: 1231 2022/12/05 11:29:35 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:04:00 time: 0.0796 data_time: 0.0277 memory: 1231 2022/12/05 11:29:37 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:04:03 time: 0.0916 data_time: 0.0393 memory: 1231 2022/12/05 11:29:39 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:04:03 time: 0.0727 data_time: 0.0206 memory: 1231 2022/12/05 11:29:40 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:04:03 time: 0.0539 data_time: 0.0024 memory: 1231 2022/12/05 11:29:41 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:04:02 time: 0.0570 data_time: 0.0020 memory: 1231 2022/12/05 11:29:42 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:04:01 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 11:29:43 - mmengine - INFO - Epoch(val) [9][1460/6282] eta: 0:04:01 time: 0.0544 data_time: 0.0023 memory: 1231 2022/12/05 11:29:44 - mmengine - INFO - Epoch(val) [9][1480/6282] eta: 0:04:00 time: 0.0544 data_time: 0.0023 memory: 1231 2022/12/05 11:29:45 - mmengine - INFO - Epoch(val) [9][1500/6282] eta: 0:03:59 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 11:29:46 - mmengine - INFO - Epoch(val) [9][1520/6282] eta: 0:03:58 time: 0.0549 data_time: 0.0023 memory: 1404 2022/12/05 11:29:48 - mmengine - INFO - Epoch(val) [9][1540/6282] eta: 0:03:59 time: 0.0695 data_time: 0.0029 memory: 1404 2022/12/05 11:29:49 - mmengine - INFO - Epoch(val) [9][1560/6282] eta: 0:03:59 time: 0.0687 data_time: 0.0026 memory: 1404 2022/12/05 11:29:51 - mmengine - INFO - Epoch(val) [9][1580/6282] eta: 0:03:59 time: 0.0684 data_time: 0.0026 memory: 1404 2022/12/05 11:29:52 - mmengine - INFO - Epoch(val) [9][1600/6282] eta: 0:03:59 time: 0.0683 data_time: 0.0025 memory: 1404 2022/12/05 11:29:53 - mmengine - INFO 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eta: 0:03:47 time: 0.0510 data_time: 0.0022 memory: 1231 2022/12/05 11:30:13 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:03:46 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 11:30:14 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:03:44 time: 0.0425 data_time: 0.0020 memory: 1122 2022/12/05 11:30:15 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:03:43 time: 0.0422 data_time: 0.0019 memory: 1122 2022/12/05 11:30:15 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:03:41 time: 0.0422 data_time: 0.0019 memory: 1122 2022/12/05 11:30:16 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:03:40 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 11:30:17 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:03:38 time: 0.0427 data_time: 0.0022 memory: 1122 2022/12/05 11:30:18 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:03:37 time: 0.0419 data_time: 0.0017 memory: 1122 2022/12/05 11:30:19 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:03:36 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 11:30:20 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:03:34 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 11:30:21 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:03:33 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 11:30:21 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:03:31 time: 0.0424 data_time: 0.0021 memory: 1113 2022/12/05 11:30:22 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:03:30 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:30:23 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:03:29 time: 0.0421 data_time: 0.0019 memory: 1113 2022/12/05 11:30:24 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:03:27 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 11:30:25 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:03:26 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:30:26 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:03:25 time: 0.0426 data_time: 0.0021 memory: 1122 2022/12/05 11:30:26 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:03:23 time: 0.0427 data_time: 0.0023 memory: 1122 2022/12/05 11:30:27 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:03:22 time: 0.0422 data_time: 0.0020 memory: 1122 2022/12/05 11:30:28 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:03:21 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 11:30:29 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:03:19 time: 0.0428 data_time: 0.0021 memory: 1122 2022/12/05 11:30:30 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:03:18 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:30:31 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:03:17 time: 0.0426 data_time: 0.0026 memory: 1113 2022/12/05 11:30:32 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:03:16 time: 0.0428 data_time: 0.0023 memory: 1113 2022/12/05 11:30:32 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:03:14 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:30:33 - mmengine - INFO - Epoch(val) [9][2440/6282] eta: 0:03:13 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 11:30:34 - mmengine - INFO - Epoch(val) [9][2460/6282] eta: 0:03:12 time: 0.0534 data_time: 0.0023 memory: 1231 2022/12/05 11:30:35 - mmengine - INFO - Epoch(val) [9][2480/6282] eta: 0:03:11 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 11:30:37 - mmengine - INFO - Epoch(val) [9][2500/6282] eta: 0:03:10 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 11:30:38 - mmengine - INFO - Epoch(val) [9][2520/6282] eta: 0:03:09 time: 0.0559 data_time: 0.0031 memory: 1231 2022/12/05 11:30:39 - mmengine - INFO - Epoch(val) [9][2540/6282] eta: 0:03:09 time: 0.0553 data_time: 0.0028 memory: 1231 2022/12/05 11:30:40 - mmengine - INFO - Epoch(val) [9][2560/6282] eta: 0:03:08 time: 0.0704 data_time: 0.0177 memory: 1231 2022/12/05 11:30:42 - mmengine - INFO - Epoch(val) [9][2580/6282] eta: 0:03:08 time: 0.0870 data_time: 0.0343 memory: 1231 2022/12/05 11:30:44 - mmengine - INFO - Epoch(val) [9][2600/6282] eta: 0:03:08 time: 0.0806 data_time: 0.0282 memory: 1231 2022/12/05 11:30:45 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:03:08 time: 0.0764 data_time: 0.0242 memory: 1231 2022/12/05 11:30:46 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:03:07 time: 0.0558 data_time: 0.0038 memory: 1231 2022/12/05 11:30:48 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:03:06 time: 0.0668 data_time: 0.0024 memory: 1388 2022/12/05 11:30:49 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:03:06 time: 0.0672 data_time: 0.0028 memory: 1388 2022/12/05 11:30:50 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:03:05 time: 0.0671 data_time: 0.0027 memory: 1388 2022/12/05 11:30:52 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:03:04 time: 0.0668 data_time: 0.0025 memory: 1388 2022/12/05 11:30:53 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:03:04 time: 0.0632 data_time: 0.0025 memory: 1388 2022/12/05 11:30:54 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:03:02 time: 0.0430 data_time: 0.0022 memory: 1122 2022/12/05 11:30:55 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:03:01 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 11:30:55 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:03:00 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 11:30:56 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:02:58 time: 0.0428 data_time: 0.0021 memory: 1122 2022/12/05 11:30:57 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:02:57 time: 0.0428 data_time: 0.0021 memory: 1122 2022/12/05 11:30:58 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:02:56 time: 0.0507 data_time: 0.0022 memory: 1231 2022/12/05 11:30:59 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:02:55 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 11:31:00 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:02:54 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 11:31:01 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:02:53 time: 0.0483 data_time: 0.0022 memory: 1231 2022/12/05 11:31:02 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:02:52 time: 0.0464 data_time: 0.0022 memory: 1170 2022/12/05 11:31:03 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:02:51 time: 0.0463 data_time: 0.0020 memory: 1170 2022/12/05 11:31:04 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:02:50 time: 0.0464 data_time: 0.0022 memory: 1170 2022/12/05 11:31:05 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:02:49 time: 0.0463 data_time: 0.0021 memory: 1170 2022/12/05 11:31:06 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:02:48 time: 0.0532 data_time: 0.0021 memory: 1231 2022/12/05 11:31:07 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:02:47 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 11:31:08 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:02:46 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 11:31:09 - mmengine - INFO - Epoch(val) [9][3080/6282] eta: 0:02:45 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 11:31:10 - mmengine - INFO - Epoch(val) [9][3100/6282] eta: 0:02:43 time: 0.0482 data_time: 0.0022 memory: 1231 2022/12/05 11:31:11 - mmengine - INFO - Epoch(val) [9][3120/6282] eta: 0:02:42 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 11:31:12 - mmengine - INFO - Epoch(val) [9][3140/6282] eta: 0:02:41 time: 0.0424 data_time: 0.0021 memory: 1122 2022/12/05 11:31:13 - mmengine - INFO - Epoch(val) [9][3160/6282] eta: 0:02:40 time: 0.0426 data_time: 0.0022 memory: 1122 2022/12/05 11:31:14 - mmengine - INFO - Epoch(val) [9][3180/6282] eta: 0:02:39 time: 0.0429 data_time: 0.0023 memory: 1122 2022/12/05 11:31:15 - mmengine - INFO - Epoch(val) [9][3200/6282] eta: 0:02:38 time: 0.0509 data_time: 0.0023 memory: 1231 2022/12/05 11:31:16 - mmengine - INFO - Epoch(val) [9][3220/6282] eta: 0:02:37 time: 0.0545 data_time: 0.0026 memory: 1231 2022/12/05 11:31:17 - mmengine - INFO - Epoch(val) 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eta: 0:02:28 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:31:26 - mmengine - INFO - Epoch(val) [9][3420/6282] eta: 0:02:26 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:31:27 - mmengine - INFO - Epoch(val) [9][3440/6282] eta: 0:02:25 time: 0.0419 data_time: 0.0020 memory: 1113 2022/12/05 11:31:28 - mmengine - INFO - Epoch(val) [9][3460/6282] eta: 0:02:24 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 11:31:29 - mmengine - INFO - Epoch(val) [9][3480/6282] eta: 0:02:23 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 11:31:30 - mmengine - INFO - Epoch(val) [9][3500/6282] eta: 0:02:22 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:31:30 - mmengine - INFO - Epoch(val) [9][3520/6282] eta: 0:02:21 time: 0.0417 data_time: 0.0019 memory: 1113 2022/12/05 11:31:31 - mmengine - INFO - Epoch(val) [9][3540/6282] eta: 0:02:19 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:31:32 - mmengine - INFO - Epoch(val) [9][3560/6282] eta: 0:02:18 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 11:31:33 - mmengine - INFO - Epoch(val) [9][3580/6282] eta: 0:02:17 time: 0.0447 data_time: 0.0020 memory: 1197 2022/12/05 11:31:34 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:02:16 time: 0.0481 data_time: 0.0021 memory: 1197 2022/12/05 11:31:35 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:02:15 time: 0.0484 data_time: 0.0022 memory: 1197 2022/12/05 11:31:36 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:02:14 time: 0.0485 data_time: 0.0023 memory: 1197 2022/12/05 11:31:37 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:02:13 time: 0.0482 data_time: 0.0021 memory: 1197 2022/12/05 11:31:38 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:02:12 time: 0.0519 data_time: 0.0026 memory: 1231 2022/12/05 11:31:39 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:02:11 time: 0.0545 data_time: 0.0027 memory: 1231 2022/12/05 11:31:40 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:02:10 time: 0.0543 data_time: 0.0025 memory: 1231 2022/12/05 11:31:41 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:02:09 time: 0.0542 data_time: 0.0024 memory: 1231 2022/12/05 11:31:42 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:02:08 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 11:31:43 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:02:07 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 11:31:44 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:02:06 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 11:31:45 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:02:05 time: 0.0548 data_time: 0.0027 memory: 1231 2022/12/05 11:31:47 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:02:04 time: 0.0545 data_time: 0.0025 memory: 1231 2022/12/05 11:31:48 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:02:03 time: 0.0546 data_time: 0.0025 memory: 1231 2022/12/05 11:31:49 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:02:02 time: 0.0545 data_time: 0.0025 memory: 1231 2022/12/05 11:31:50 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:02:01 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 11:31:51 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:02:00 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 11:31:52 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:01:59 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 11:31:53 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:01:58 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 11:31:54 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:01:57 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 11:31:55 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:01:56 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 11:31:56 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:01:55 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 11:31:57 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:01:54 time: 0.0555 data_time: 0.0021 memory: 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11:32:07 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:01:45 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:32:08 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:01:44 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:32:09 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:01:43 time: 0.0421 data_time: 0.0020 memory: 1111 2022/12/05 11:32:10 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:01:42 time: 0.0422 data_time: 0.0021 memory: 1111 2022/12/05 11:32:11 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:01:41 time: 0.0421 data_time: 0.0021 memory: 1111 2022/12/05 11:32:12 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:01:40 time: 0.0420 data_time: 0.0020 memory: 1111 2022/12/05 11:32:12 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:01:39 time: 0.0420 data_time: 0.0020 memory: 1111 2022/12/05 11:32:14 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:01:38 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 11:32:15 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:01:37 time: 0.0536 data_time: 0.0021 memory: 1231 2022/12/05 11:32:16 - mmengine - INFO - Epoch(val) [9][4400/6282] eta: 0:01:36 time: 0.0538 data_time: 0.0021 memory: 1231 2022/12/05 11:32:17 - mmengine - INFO - Epoch(val) [9][4420/6282] eta: 0:01:35 time: 0.0545 data_time: 0.0022 memory: 1231 2022/12/05 11:32:18 - mmengine - INFO - Epoch(val) [9][4440/6282] eta: 0:01:34 time: 0.0544 data_time: 0.0022 memory: 1245 2022/12/05 11:32:19 - mmengine - INFO - Epoch(val) [9][4460/6282] eta: 0:01:33 time: 0.0546 data_time: 0.0022 memory: 1245 2022/12/05 11:32:20 - mmengine - INFO - Epoch(val) [9][4480/6282] eta: 0:01:32 time: 0.0546 data_time: 0.0022 memory: 1245 2022/12/05 11:32:21 - mmengine - INFO - Epoch(val) [9][4500/6282] eta: 0:01:31 time: 0.0546 data_time: 0.0022 memory: 1245 2022/12/05 11:32:22 - mmengine - INFO - Epoch(val) [9][4520/6282] eta: 0:01:30 time: 0.0517 data_time: 0.0022 memory: 1245 2022/12/05 11:32:23 - mmengine - INFO 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eta: 0:01:12 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 11:32:40 - mmengine - INFO - Epoch(val) [9][4880/6282] eta: 0:01:11 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 11:32:41 - mmengine - INFO - Epoch(val) [9][4900/6282] eta: 0:01:10 time: 0.0537 data_time: 0.0022 memory: 1231 2022/12/05 11:32:42 - mmengine - INFO - Epoch(val) [9][4920/6282] eta: 0:01:09 time: 0.0540 data_time: 0.0022 memory: 1237 2022/12/05 11:32:43 - mmengine - INFO - Epoch(val) [9][4940/6282] eta: 0:01:08 time: 0.0542 data_time: 0.0023 memory: 1237 2022/12/05 11:32:44 - mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:07 time: 0.0541 data_time: 0.0022 memory: 1237 2022/12/05 11:32:45 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:06 time: 0.0541 data_time: 0.0022 memory: 1237 2022/12/05 11:32:46 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:01:05 time: 0.0540 data_time: 0.0022 memory: 1237 2022/12/05 11:32:47 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:01:04 time: 0.0477 data_time: 0.0021 memory: 1237 2022/12/05 11:32:48 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:01:03 time: 0.0423 data_time: 0.0020 memory: 1122 2022/12/05 11:32:49 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:01:02 time: 0.0424 data_time: 0.0020 memory: 1122 2022/12/05 11:32:50 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:01:01 time: 0.0425 data_time: 0.0021 memory: 1122 2022/12/05 11:32:51 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:01:00 time: 0.0426 data_time: 0.0021 memory: 1122 2022/12/05 11:32:52 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:00:59 time: 0.0426 data_time: 0.0020 memory: 1122 2022/12/05 11:32:52 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:00:58 time: 0.0425 data_time: 0.0022 memory: 1113 2022/12/05 11:32:53 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:00:57 time: 0.0423 data_time: 0.0022 memory: 1113 2022/12/05 11:32:54 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:00:55 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 11:32:55 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:00:54 time: 0.0424 data_time: 0.0022 memory: 1113 2022/12/05 11:32:56 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:00:53 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 11:32:57 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:00:52 time: 0.0421 data_time: 0.0021 memory: 1111 2022/12/05 11:32:58 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:00:51 time: 0.0422 data_time: 0.0021 memory: 1111 2022/12/05 11:32:58 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:00:50 time: 0.0420 data_time: 0.0019 memory: 1111 2022/12/05 11:32:59 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:00:49 time: 0.0423 data_time: 0.0020 memory: 1111 2022/12/05 11:33:00 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:00:48 time: 0.0423 data_time: 0.0022 memory: 1113 2022/12/05 11:33:01 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:00:47 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:33:02 - mmengine - INFO - Epoch(val) [9][5360/6282] eta: 0:00:46 time: 0.0423 data_time: 0.0020 memory: 1113 2022/12/05 11:33:03 - mmengine - INFO - Epoch(val) [9][5380/6282] eta: 0:00:45 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 11:33:03 - mmengine - INFO - Epoch(val) [9][5400/6282] eta: 0:00:44 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:33:04 - mmengine - INFO - Epoch(val) [9][5420/6282] eta: 0:00:43 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 11:33:05 - mmengine - INFO - Epoch(val) [9][5440/6282] eta: 0:00:42 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:33:06 - mmengine - INFO - Epoch(val) [9][5460/6282] eta: 0:00:41 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 11:33:07 - mmengine - INFO - Epoch(val) [9][5480/6282] eta: 0:00:40 time: 0.0421 data_time: 0.0021 memory: 1113 2022/12/05 11:33:08 - mmengine - INFO - Epoch(val) [9][5500/6282] eta: 0:00:39 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:33:09 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:38 time: 0.0446 data_time: 0.0021 memory: 1155 2022/12/05 11:33:10 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:37 time: 0.0450 data_time: 0.0020 memory: 1155 2022/12/05 11:33:10 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:36 time: 0.0451 data_time: 0.0020 memory: 1155 2022/12/05 11:33:11 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:35 time: 0.0452 data_time: 0.0021 memory: 1155 2022/12/05 11:33:12 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:34 time: 0.0451 data_time: 0.0020 memory: 1155 2022/12/05 11:33:13 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:33 time: 0.0432 data_time: 0.0020 memory: 1155 2022/12/05 11:33:14 - mmengine - INFO - Epoch(val) [9][5640/6282] eta: 0:00:32 time: 0.0425 data_time: 0.0020 memory: 1113 2022/12/05 11:33:15 - mmengine - INFO - Epoch(val) [9][5660/6282] eta: 0:00:31 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 11:33:16 - mmengine - INFO - Epoch(val) [9][5680/6282] eta: 0:00:30 time: 0.0422 data_time: 0.0021 memory: 1113 2022/12/05 11:33:17 - mmengine - INFO - Epoch(val) [9][5700/6282] eta: 0:00:29 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 11:33:17 - mmengine - INFO - Epoch(val) [9][5720/6282] eta: 0:00:28 time: 0.0445 data_time: 0.0022 memory: 1181 2022/12/05 11:33:18 - mmengine - INFO - Epoch(val) [9][5740/6282] eta: 0:00:27 time: 0.0470 data_time: 0.0020 memory: 1181 2022/12/05 11:33:19 - mmengine - INFO - Epoch(val) [9][5760/6282] eta: 0:00:26 time: 0.0471 data_time: 0.0021 memory: 1181 2022/12/05 11:33:20 - mmengine - INFO - Epoch(val) [9][5780/6282] eta: 0:00:25 time: 0.0473 data_time: 0.0022 memory: 1181 2022/12/05 11:33:21 - mmengine - INFO - Epoch(val) [9][5800/6282] eta: 0:00:24 time: 0.0473 data_time: 0.0020 memory: 1181 2022/12/05 11:33:22 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:23 time: 0.0461 data_time: 0.0021 memory: 1181 2022/12/05 11:33:23 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:22 time: 0.0450 data_time: 0.0020 memory: 1155 2022/12/05 11:33:24 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:21 time: 0.0452 data_time: 0.0021 memory: 1155 2022/12/05 11:33:25 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:20 time: 0.0453 data_time: 0.0022 memory: 1155 2022/12/05 11:33:26 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:19 time: 0.0456 data_time: 0.0023 memory: 1155 2022/12/05 11:33:27 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:18 time: 0.0435 data_time: 0.0021 memory: 1155 2022/12/05 11:33:27 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:17 time: 0.0421 data_time: 0.0020 memory: 1113 2022/12/05 11:33:28 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:16 time: 0.0422 data_time: 0.0020 memory: 1113 2022/12/05 11:33:29 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:15 time: 0.0423 data_time: 0.0021 memory: 1113 2022/12/05 11:33:30 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:14 time: 0.0513 data_time: 0.0023 memory: 1231 2022/12/05 11:33:31 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:13 time: 0.0541 data_time: 0.0024 memory: 1231 2022/12/05 11:33:32 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:12 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 11:33:33 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:11 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 11:33:35 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:10 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 11:33:36 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:09 time: 0.0544 data_time: 0.0025 memory: 1231 2022/12/05 11:33:37 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:08 time: 0.0544 data_time: 0.0024 memory: 1231 2022/12/05 11:33:38 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:07 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 11:33:39 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:06 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 11:33:40 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:05 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 11:33:41 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:04 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 11:33:42 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:03 time: 0.0538 data_time: 0.0022 memory: 1231 2022/12/05 11:33:43 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:02 time: 0.0537 data_time: 0.0021 memory: 1231 2022/12/05 11:33:44 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:01 time: 0.0534 data_time: 0.0019 memory: 1231 2022/12/05 11:33:45 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0530 data_time: 0.0019 memory: 1231 2022/12/05 11:39:05 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.3126 2022/12/05 11:39:05 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_8.pth is removed 2022/12/05 11:39:09 - mmengine - INFO - The best checkpoint with 0.3126 mAP/mAP@0.5IOU at 9 epoch is saved to best_mAP/mAP@0.5IOU_epoch_9.pth. 2022/12/05 11:39:20 - mmengine - INFO - Epoch(train) [10][ 20/4451] lr: 3.7740e-03 eta: 0:36:38 time: 0.5428 data_time: 0.0477 memory: 16785 grad_norm: 0.1190 loss: 0.0148 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.8800 recall@top3: 0.9800 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4560 loss_action_cls: 0.0148 2022/12/05 11:39:30 - mmengine - INFO - Epoch(train) [10][ 40/4451] lr: 3.7405e-03 eta: 0:36:28 time: 0.4990 data_time: 0.0115 memory: 16785 grad_norm: 0.1186 loss: 0.0158 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8196 recall@top3: 0.8196 prec@top3: 0.7619 recall@top5: 0.9554 prec@top5: 0.5643 loss_action_cls: 0.0158 2022/12/05 11:39:40 - mmengine - INFO - Epoch(train) [10][ 60/4451] lr: 3.7070e-03 eta: 0:36:19 time: 0.4966 data_time: 0.0114 memory: 16785 grad_norm: 0.1195 loss: 0.0164 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7614 recall@top3: 0.9394 prec@top3: 0.7727 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0164 2022/12/05 11:39:50 - mmengine - INFO - Epoch(train) [10][ 80/4451] lr: 3.6738e-03 eta: 0:36:09 time: 0.4994 data_time: 0.0119 memory: 16785 grad_norm: 0.1180 loss: 0.0165 recall@thr=0.5: 0.6543 prec@thr=0.5: 0.6636 recall@top3: 0.7346 prec@top3: 0.5679 recall@top5: 0.9753 prec@top5: 0.4667 loss_action_cls: 0.0165 2022/12/05 11:40:00 - mmengine - INFO - Epoch(train) [10][ 100/4451] lr: 3.6407e-03 eta: 0:35:59 time: 0.4972 data_time: 0.0113 memory: 16785 grad_norm: 0.1238 loss: 0.0164 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8294 recall@top3: 0.8452 prec@top3: 0.6508 recall@top5: 0.9603 prec@top5: 0.4571 loss_action_cls: 0.0164 2022/12/05 11:40:10 - mmengine - INFO - Epoch(train) [10][ 120/4451] lr: 3.6077e-03 eta: 0:35:49 time: 0.4983 data_time: 0.0113 memory: 16785 grad_norm: 0.1225 loss: 0.0167 recall@thr=0.5: 0.7068 prec@thr=0.5: 0.7685 recall@top3: 0.7562 prec@top3: 0.7531 recall@top5: 0.8488 prec@top5: 0.5185 loss_action_cls: 0.0167 2022/12/05 11:40:19 - mmengine - INFO - Epoch(train) [10][ 140/4451] lr: 3.5748e-03 eta: 0:35:39 time: 0.4967 data_time: 0.0112 memory: 16785 grad_norm: 0.1220 loss: 0.0153 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8690 recall@top3: 0.8651 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5524 loss_action_cls: 0.0153 2022/12/05 11:40:29 - mmengine - INFO - Epoch(train) [10][ 160/4451] lr: 3.5422e-03 eta: 0:35:29 time: 0.4969 data_time: 0.0114 memory: 16785 grad_norm: 0.1216 loss: 0.0160 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.9123 recall@top3: 0.9386 prec@top3: 0.7544 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0160 2022/12/05 11:40:39 - mmengine - INFO - Epoch(train) [10][ 180/4451] lr: 3.5096e-03 eta: 0:35:19 time: 0.4967 data_time: 0.0108 memory: 16785 grad_norm: 0.1223 loss: 0.0183 recall@thr=0.5: 0.8385 prec@thr=0.5: 0.9271 recall@top3: 0.8307 prec@top3: 0.6771 recall@top5: 0.9349 prec@top5: 0.4875 loss_action_cls: 0.0183 2022/12/05 11:40:49 - mmengine - INFO - Epoch(train) [10][ 200/4451] lr: 3.4772e-03 eta: 0:35:09 time: 0.4966 data_time: 0.0111 memory: 16785 grad_norm: 0.1234 loss: 0.0151 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6111 recall@top3: 0.7103 prec@top3: 0.5556 recall@top5: 0.8056 prec@top5: 0.3810 loss_action_cls: 0.0151 2022/12/05 11:40:59 - mmengine - INFO - Epoch(train) [10][ 220/4451] lr: 3.4450e-03 eta: 0:34:59 time: 0.4975 data_time: 0.0108 memory: 16785 grad_norm: 0.1215 loss: 0.0167 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.4630 recall@top3: 0.7963 prec@top3: 0.4259 recall@top5: 0.9722 prec@top5: 0.3222 loss_action_cls: 0.0167 2022/12/05 11:41:09 - mmengine - INFO - Epoch(train) [10][ 240/4451] lr: 3.4129e-03 eta: 0:34:49 time: 0.4965 data_time: 0.0116 memory: 16785 grad_norm: 0.1206 loss: 0.0141 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.7708 recall@top3: 0.8889 prec@top3: 0.7083 recall@top5: 0.9479 prec@top5: 0.4583 loss_action_cls: 0.0141 2022/12/05 11:41:19 - mmengine - INFO - Epoch(train) [10][ 260/4451] lr: 3.3809e-03 eta: 0:34:39 time: 0.4972 data_time: 0.0113 memory: 16785 grad_norm: 0.1188 loss: 0.0140 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.8077 recall@top3: 0.8718 prec@top3: 0.5641 recall@top5: 0.8974 prec@top5: 0.3538 loss_action_cls: 0.0140 2022/12/05 11:41:29 - mmengine - INFO - Epoch(train) [10][ 280/4451] lr: 3.3491e-03 eta: 0:34:29 time: 0.4975 data_time: 0.0112 memory: 16785 grad_norm: 0.1141 loss: 0.0156 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7437 recall@top3: 0.8750 prec@top3: 0.5556 recall@top5: 0.9792 prec@top5: 0.3917 loss_action_cls: 0.0156 2022/12/05 11:41:39 - mmengine - INFO - Epoch(train) [10][ 300/4451] lr: 3.3174e-03 eta: 0:34:19 time: 0.4979 data_time: 0.0123 memory: 16785 grad_norm: 0.1228 loss: 0.0166 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6818 recall@top3: 0.7652 prec@top3: 0.5152 recall@top5: 0.9697 prec@top5: 0.4000 loss_action_cls: 0.0166 2022/12/05 11:41:49 - mmengine - INFO - Epoch(train) [10][ 320/4451] lr: 3.2859e-03 eta: 0:34:10 time: 0.4981 data_time: 0.0115 memory: 16785 grad_norm: 0.1175 loss: 0.0159 recall@thr=0.5: 0.9561 prec@thr=0.5: 0.9649 recall@top3: 0.8640 prec@top3: 0.7895 recall@top5: 0.9825 prec@top5: 0.5684 loss_action_cls: 0.0159 2022/12/05 11:41:59 - mmengine - INFO - Epoch(train) [10][ 340/4451] lr: 3.2545e-03 eta: 0:34:00 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1237 loss: 0.0168 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7187 recall@top3: 0.8750 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.3875 loss_action_cls: 0.0168 2022/12/05 11:42:09 - mmengine - INFO - Epoch(train) [10][ 360/4451] lr: 3.2232e-03 eta: 0:33:50 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1208 loss: 0.0161 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8500 recall@top3: 0.8333 prec@top3: 0.6833 recall@top5: 0.9083 prec@top5: 0.4300 loss_action_cls: 0.0161 2022/12/05 11:42:19 - mmengine - INFO - Epoch(train) [10][ 380/4451] lr: 3.1922e-03 eta: 0:33:40 time: 0.4971 data_time: 0.0113 memory: 16785 grad_norm: 0.1223 loss: 0.0142 recall@thr=0.5: 0.7648 prec@thr=0.5: 0.8704 recall@top3: 0.8352 prec@top3: 0.6852 recall@top5: 0.9130 prec@top5: 0.4556 loss_action_cls: 0.0142 2022/12/05 11:42:29 - mmengine - INFO - Epoch(train) [10][ 400/4451] lr: 3.1612e-03 eta: 0:33:30 time: 0.4978 data_time: 0.0111 memory: 16785 grad_norm: 0.1172 loss: 0.0138 recall@thr=0.5: 0.7156 prec@thr=0.5: 0.7812 recall@top3: 0.9312 prec@top3: 0.6667 recall@top5: 0.9594 prec@top5: 0.4250 loss_action_cls: 0.0138 2022/12/05 11:42:39 - mmengine - INFO - Epoch(train) [10][ 420/4451] lr: 3.1304e-03 eta: 0:33:20 time: 0.4970 data_time: 0.0108 memory: 16785 grad_norm: 0.1229 loss: 0.0164 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8667 recall@top3: 0.8981 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0164 2022/12/05 11:42:49 - mmengine - INFO - Epoch(train) [10][ 440/4451] lr: 3.0998e-03 eta: 0:33:10 time: 0.4977 data_time: 0.0113 memory: 16785 grad_norm: 0.1217 loss: 0.0164 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6083 recall@top3: 0.7917 prec@top3: 0.5167 recall@top5: 0.9000 prec@top5: 0.3700 loss_action_cls: 0.0164 2022/12/05 11:42:59 - mmengine - INFO - Epoch(train) [10][ 460/4451] lr: 3.0692e-03 eta: 0:33:00 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1212 loss: 0.0153 recall@thr=0.5: 0.4697 prec@thr=0.5: 0.6136 recall@top3: 0.6742 prec@top3: 0.5758 recall@top5: 0.8674 prec@top5: 0.4455 loss_action_cls: 0.0153 2022/12/05 11:43:09 - mmengine - INFO - Epoch(train) [10][ 480/4451] lr: 3.0389e-03 eta: 0:32:50 time: 0.4966 data_time: 0.0113 memory: 16785 grad_norm: 0.1234 loss: 0.0168 recall@thr=0.5: 0.4417 prec@thr=0.5: 0.6000 recall@top3: 0.8083 prec@top3: 0.5000 recall@top5: 0.9000 prec@top5: 0.3400 loss_action_cls: 0.0168 2022/12/05 11:43:19 - mmengine - INFO - Epoch(train) [10][ 500/4451] lr: 3.0087e-03 eta: 0:32:40 time: 0.4978 data_time: 0.0117 memory: 16785 grad_norm: 0.1186 loss: 0.0157 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7895 recall@top3: 0.7500 prec@top3: 0.5614 recall@top5: 0.9211 prec@top5: 0.4316 loss_action_cls: 0.0157 2022/12/05 11:43:28 - mmengine - INFO - Epoch(train) [10][ 520/4451] lr: 2.9786e-03 eta: 0:32:30 time: 0.4978 data_time: 0.0117 memory: 16785 grad_norm: 0.1215 loss: 0.0155 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.6579 recall@top3: 0.8860 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4211 loss_action_cls: 0.0155 2022/12/05 11:43:38 - mmengine - INFO - Epoch(train) [10][ 540/4451] lr: 2.9487e-03 eta: 0:32:20 time: 0.4986 data_time: 0.0113 memory: 16785 grad_norm: 0.1262 loss: 0.0167 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.6780 recall@top3: 0.7803 prec@top3: 0.5909 recall@top5: 0.9280 prec@top5: 0.4364 loss_action_cls: 0.0167 2022/12/05 11:43:48 - mmengine - INFO - Epoch(train) [10][ 560/4451] lr: 2.9189e-03 eta: 0:32:10 time: 0.4976 data_time: 0.0113 memory: 16785 grad_norm: 0.1234 loss: 0.0164 recall@thr=0.5: 0.8403 prec@thr=0.5: 0.8264 recall@top3: 0.9167 prec@top3: 0.6806 recall@top5: 0.9375 prec@top5: 0.4167 loss_action_cls: 0.0164 2022/12/05 11:43:58 - mmengine - INFO - Epoch(train) [10][ 580/4451] lr: 2.8893e-03 eta: 0:32:01 time: 0.4977 data_time: 0.0113 memory: 16785 grad_norm: 0.1201 loss: 0.0148 recall@thr=0.5: 0.7462 prec@thr=0.5: 0.9091 recall@top3: 0.8977 prec@top3: 0.7273 recall@top5: 0.9848 prec@top5: 0.4727 loss_action_cls: 0.0148 2022/12/05 11:44:08 - mmengine - INFO - Epoch(train) [10][ 600/4451] lr: 2.8598e-03 eta: 0:31:51 time: 0.4982 data_time: 0.0114 memory: 16785 grad_norm: 0.1205 loss: 0.0151 recall@thr=0.5: 0.7942 prec@thr=0.5: 0.8608 recall@top3: 0.7758 prec@top3: 0.7167 recall@top5: 0.9750 prec@top5: 0.5700 loss_action_cls: 0.0151 2022/12/05 11:44:18 - mmengine - INFO - Epoch(train) [10][ 620/4451] lr: 2.8304e-03 eta: 0:31:41 time: 0.4970 data_time: 0.0113 memory: 16785 grad_norm: 0.1200 loss: 0.0163 recall@thr=0.5: 0.7792 prec@thr=0.5: 0.8542 recall@top3: 0.8417 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.3900 loss_action_cls: 0.0163 2022/12/05 11:44:28 - mmengine - INFO - Epoch(train) [10][ 640/4451] lr: 2.8013e-03 eta: 0:31:31 time: 0.4980 data_time: 0.0118 memory: 16785 grad_norm: 0.1241 loss: 0.0167 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7843 recall@top3: 0.7255 prec@top3: 0.6863 recall@top5: 0.9118 prec@top5: 0.5294 loss_action_cls: 0.0167 2022/12/05 11:44:38 - mmengine - INFO - Epoch(train) [10][ 660/4451] lr: 2.7722e-03 eta: 0:31:21 time: 0.4968 data_time: 0.0115 memory: 16785 grad_norm: 0.1281 loss: 0.0151 recall@thr=0.5: 0.7529 prec@thr=0.5: 0.9195 recall@top3: 0.8103 prec@top3: 0.8621 recall@top5: 0.9741 prec@top5: 0.6345 loss_action_cls: 0.0151 2022/12/05 11:44:48 - mmengine - INFO - Epoch(train) [10][ 680/4451] lr: 2.7433e-03 eta: 0:31:11 time: 0.4974 data_time: 0.0118 memory: 16785 grad_norm: 0.1184 loss: 0.0164 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.8077 recall@top3: 0.9744 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0164 2022/12/05 11:44:58 - mmengine - INFO - Epoch(train) [10][ 700/4451] lr: 2.7146e-03 eta: 0:31:01 time: 0.4965 data_time: 0.0109 memory: 16785 grad_norm: 0.1222 loss: 0.0161 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.8000 recall@top3: 0.7556 prec@top3: 0.6444 recall@top5: 0.8722 prec@top5: 0.4533 loss_action_cls: 0.0161 2022/12/05 11:45:08 - mmengine - INFO - Epoch(train) [10][ 720/4451] lr: 2.6860e-03 eta: 0:30:51 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1175 loss: 0.0142 recall@thr=0.5: 0.9358 prec@thr=0.5: 0.9375 recall@top3: 0.9092 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0142 2022/12/05 11:45:18 - mmengine - INFO - Epoch(train) [10][ 740/4451] lr: 2.6575e-03 eta: 0:30:41 time: 0.4965 data_time: 0.0111 memory: 16785 grad_norm: 0.1187 loss: 0.0157 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7103 recall@top3: 0.8810 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4381 loss_action_cls: 0.0157 2022/12/05 11:45:28 - mmengine - INFO - Epoch(train) [10][ 760/4451] lr: 2.6292e-03 eta: 0:30:31 time: 0.4977 data_time: 0.0112 memory: 16785 grad_norm: 0.1172 loss: 0.0147 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7745 recall@top3: 0.8333 prec@top3: 0.5686 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0147 2022/12/05 11:45:38 - mmengine - INFO - Epoch(train) [10][ 780/4451] lr: 2.6010e-03 eta: 0:30:21 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1273 loss: 0.0156 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0156 2022/12/05 11:45:48 - mmengine - INFO - Epoch(train) [10][ 800/4451] lr: 2.5730e-03 eta: 0:30:11 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1233 loss: 0.0158 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.8708 recall@top3: 0.7667 prec@top3: 0.5833 recall@top5: 0.8917 prec@top5: 0.4200 loss_action_cls: 0.0158 2022/12/05 11:45:58 - mmengine - INFO - Epoch(train) [10][ 820/4451] lr: 2.5452e-03 eta: 0:30:01 time: 0.4968 data_time: 0.0114 memory: 16785 grad_norm: 0.1177 loss: 0.0151 recall@thr=0.5: 0.7716 prec@thr=0.5: 0.7722 recall@top3: 0.8457 prec@top3: 0.6173 recall@top5: 0.9568 prec@top5: 0.4370 loss_action_cls: 0.0151 2022/12/05 11:46:08 - mmengine - INFO - Epoch(train) [10][ 840/4451] lr: 2.5175e-03 eta: 0:29:52 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1198 loss: 0.0176 recall@thr=0.5: 0.5933 prec@thr=0.5: 0.6867 recall@top3: 0.7800 prec@top3: 0.5600 recall@top5: 0.8400 prec@top5: 0.3680 loss_action_cls: 0.0176 2022/12/05 11:46:18 - mmengine - INFO - Epoch(train) [10][ 860/4451] lr: 2.4899e-03 eta: 0:29:42 time: 0.4970 data_time: 0.0114 memory: 16785 grad_norm: 0.1237 loss: 0.0168 recall@thr=0.5: 0.5458 prec@thr=0.5: 0.7083 recall@top3: 0.7625 prec@top3: 0.5833 recall@top5: 0.9833 prec@top5: 0.4500 loss_action_cls: 0.0168 2022/12/05 11:46:28 - mmengine - INFO - Epoch(train) [10][ 880/4451] lr: 2.4625e-03 eta: 0:29:32 time: 0.4980 data_time: 0.0113 memory: 16785 grad_norm: 0.1231 loss: 0.0148 recall@thr=0.5: 0.8602 prec@thr=0.5: 0.9032 recall@top3: 0.8763 prec@top3: 0.7742 recall@top5: 1.0000 prec@top5: 0.5355 loss_action_cls: 0.0148 2022/12/05 11:46:38 - mmengine - INFO - Epoch(train) [10][ 900/4451] lr: 2.4352e-03 eta: 0:29:22 time: 0.4979 data_time: 0.0113 memory: 16785 grad_norm: 0.1254 loss: 0.0167 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6429 recall@top3: 0.7143 prec@top3: 0.3810 recall@top5: 0.8571 prec@top5: 0.3000 loss_action_cls: 0.0167 2022/12/05 11:46:47 - mmengine - INFO - Epoch(train) [10][ 920/4451] lr: 2.4081e-03 eta: 0:29:12 time: 0.4979 data_time: 0.0114 memory: 16785 grad_norm: 0.1223 loss: 0.0139 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.7143 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0139 2022/12/05 11:46:57 - mmengine - INFO - Epoch(train) [10][ 940/4451] lr: 2.3811e-03 eta: 0:29:02 time: 0.4978 data_time: 0.0112 memory: 16785 grad_norm: 0.1192 loss: 0.0157 recall@thr=0.5: 0.9022 prec@thr=0.5: 0.8080 recall@top3: 0.9493 prec@top3: 0.7826 recall@top5: 1.0000 prec@top5: 0.5043 loss_action_cls: 0.0157 2022/12/05 11:46:58 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 11:47:07 - mmengine - INFO - Epoch(train) [10][ 960/4451] lr: 2.3543e-03 eta: 0:28:52 time: 0.4970 data_time: 0.0112 memory: 16785 grad_norm: 0.1249 loss: 0.0166 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7101 recall@top3: 0.7681 prec@top3: 0.5217 recall@top5: 0.9348 prec@top5: 0.4000 loss_action_cls: 0.0166 2022/12/05 11:47:17 - mmengine - INFO - Epoch(train) [10][ 980/4451] lr: 2.3276e-03 eta: 0:28:42 time: 0.4967 data_time: 0.0111 memory: 16785 grad_norm: 0.1186 loss: 0.0154 recall@thr=0.5: 0.6101 prec@thr=0.5: 0.7321 recall@top3: 0.7351 prec@top3: 0.5476 recall@top5: 0.9435 prec@top5: 0.4214 loss_action_cls: 0.0154 2022/12/05 11:47:27 - mmengine - INFO - Epoch(train) [10][1000/4451] lr: 2.3011e-03 eta: 0:28:32 time: 0.4974 data_time: 0.0116 memory: 16785 grad_norm: 0.1272 loss: 0.0160 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.6930 recall@top3: 0.7851 prec@top3: 0.5965 recall@top5: 0.8947 prec@top5: 0.4105 loss_action_cls: 0.0160 2022/12/05 11:47:37 - mmengine - INFO - Epoch(train) [10][1020/4451] lr: 2.2747e-03 eta: 0:28:22 time: 0.4973 data_time: 0.0110 memory: 16785 grad_norm: 0.1219 loss: 0.0153 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8867 recall@top3: 0.8933 prec@top3: 0.7733 recall@top5: 1.0000 prec@top5: 0.5280 loss_action_cls: 0.0153 2022/12/05 11:47:47 - mmengine - INFO - Epoch(train) [10][1040/4451] lr: 2.2484e-03 eta: 0:28:12 time: 0.4985 data_time: 0.0118 memory: 16785 grad_norm: 0.1214 loss: 0.0158 recall@thr=0.5: 0.7628 prec@thr=0.5: 0.7949 recall@top3: 0.8077 prec@top3: 0.4872 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0158 2022/12/05 11:47:57 - mmengine - INFO - Epoch(train) [10][1060/4451] lr: 2.2224e-03 eta: 0:28:02 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1254 loss: 0.0152 recall@thr=0.5: 0.7286 prec@thr=0.5: 0.9643 recall@top3: 0.8881 prec@top3: 0.5714 recall@top5: 0.9167 prec@top5: 0.3714 loss_action_cls: 0.0152 2022/12/05 11:48:07 - mmengine - INFO - Epoch(train) [10][1080/4451] lr: 2.1964e-03 eta: 0:27:52 time: 0.4976 data_time: 0.0113 memory: 16785 grad_norm: 0.1171 loss: 0.0164 recall@thr=0.5: 0.7210 prec@thr=0.5: 0.6304 recall@top3: 0.8116 prec@top3: 0.6522 recall@top5: 0.9058 prec@top5: 0.4522 loss_action_cls: 0.0164 2022/12/05 11:48:17 - mmengine - INFO - Epoch(train) [10][1100/4451] lr: 2.1706e-03 eta: 0:27:43 time: 0.4978 data_time: 0.0113 memory: 16785 grad_norm: 0.1237 loss: 0.0164 recall@thr=0.5: 0.5711 prec@thr=0.5: 0.7889 recall@top3: 0.7200 prec@top3: 0.6222 recall@top5: 0.8911 prec@top5: 0.4933 loss_action_cls: 0.0164 2022/12/05 11:48:27 - mmengine - INFO - Epoch(train) [10][1120/4451] lr: 2.1450e-03 eta: 0:27:33 time: 0.4974 data_time: 0.0114 memory: 16785 grad_norm: 0.1205 loss: 0.0148 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.9000 recall@top3: 0.8889 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0148 2022/12/05 11:48:37 - mmengine - INFO - Epoch(train) [10][1140/4451] lr: 2.1195e-03 eta: 0:27:23 time: 0.4975 data_time: 0.0114 memory: 16785 grad_norm: 0.1220 loss: 0.0155 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8698 recall@top3: 0.7708 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4875 loss_action_cls: 0.0155 2022/12/05 11:48:47 - mmengine - INFO - Epoch(train) [10][1160/4451] lr: 2.0942e-03 eta: 0:27:13 time: 0.4970 data_time: 0.0113 memory: 16785 grad_norm: 0.1223 loss: 0.0166 recall@thr=0.5: 0.7689 prec@thr=0.5: 0.7652 recall@top3: 0.8902 prec@top3: 0.6970 recall@top5: 0.9583 prec@top5: 0.4636 loss_action_cls: 0.0166 2022/12/05 11:48:57 - mmengine - INFO - Epoch(train) [10][1180/4451] lr: 2.0690e-03 eta: 0:27:03 time: 0.4973 data_time: 0.0117 memory: 16785 grad_norm: 0.1243 loss: 0.0136 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8452 recall@top3: 0.8214 prec@top3: 0.4048 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0136 2022/12/05 11:49:07 - mmengine - INFO - Epoch(train) [10][1200/4451] lr: 2.0439e-03 eta: 0:26:53 time: 0.4967 data_time: 0.0115 memory: 16785 grad_norm: 0.1224 loss: 0.0151 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8208 recall@top3: 0.8672 prec@top3: 0.7396 recall@top5: 0.9844 prec@top5: 0.5187 loss_action_cls: 0.0151 2022/12/05 11:49:17 - mmengine - INFO - Epoch(train) [10][1220/4451] lr: 2.0190e-03 eta: 0:26:43 time: 0.4968 data_time: 0.0113 memory: 16785 grad_norm: 0.1234 loss: 0.0179 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8578 recall@top3: 0.8725 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4471 loss_action_cls: 0.0179 2022/12/05 11:49:27 - mmengine - INFO - Epoch(train) [10][1240/4451] lr: 1.9943e-03 eta: 0:26:33 time: 0.4988 data_time: 0.0115 memory: 16785 grad_norm: 0.1214 loss: 0.0163 recall@thr=0.5: 0.5726 prec@thr=0.5: 0.6000 recall@top3: 0.7429 prec@top3: 0.5952 recall@top5: 0.8726 prec@top5: 0.4571 loss_action_cls: 0.0163 2022/12/05 11:49:37 - mmengine - INFO - Epoch(train) [10][1260/4451] lr: 1.9697e-03 eta: 0:26:23 time: 0.4995 data_time: 0.0110 memory: 16785 grad_norm: 0.1195 loss: 0.0149 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8208 recall@top3: 0.8292 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.5300 loss_action_cls: 0.0149 2022/12/05 11:49:47 - mmengine - INFO - Epoch(train) [10][1280/4451] lr: 1.9452e-03 eta: 0:26:13 time: 0.4982 data_time: 0.0111 memory: 16785 grad_norm: 0.1170 loss: 0.0128 recall@thr=0.5: 0.9375 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.3625 loss_action_cls: 0.0128 2022/12/05 11:49:57 - mmengine - INFO - Epoch(train) [10][1300/4451] lr: 1.9210e-03 eta: 0:26:03 time: 0.4974 data_time: 0.0115 memory: 16785 grad_norm: 0.1209 loss: 0.0150 recall@thr=0.5: 0.7902 prec@thr=0.5: 0.9598 recall@top3: 0.8707 prec@top3: 0.7816 recall@top5: 0.9741 prec@top5: 0.5379 loss_action_cls: 0.0150 2022/12/05 11:50:07 - mmengine - INFO - Epoch(train) [10][1320/4451] lr: 1.8968e-03 eta: 0:25:53 time: 0.4982 data_time: 0.0110 memory: 16785 grad_norm: 0.1191 loss: 0.0168 recall@thr=0.5: 0.6717 prec@thr=0.5: 0.8283 recall@top3: 0.7601 prec@top3: 0.6263 recall@top5: 0.8965 prec@top5: 0.4485 loss_action_cls: 0.0168 2022/12/05 11:50:17 - mmengine - INFO - Epoch(train) [10][1340/4451] lr: 1.8728e-03 eta: 0:25:43 time: 0.4964 data_time: 0.0113 memory: 16785 grad_norm: 0.1232 loss: 0.0148 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.8571 recall@top3: 0.8214 prec@top3: 0.4762 recall@top5: 0.9643 prec@top5: 0.3143 loss_action_cls: 0.0148 2022/12/05 11:50:26 - mmengine - INFO - Epoch(train) [10][1360/4451] lr: 1.8490e-03 eta: 0:25:34 time: 0.4971 data_time: 0.0112 memory: 16785 grad_norm: 0.1201 loss: 0.0160 recall@thr=0.5: 0.9011 prec@thr=0.5: 0.8742 recall@top3: 0.8640 prec@top3: 0.8280 recall@top5: 0.9871 prec@top5: 0.5806 loss_action_cls: 0.0160 2022/12/05 11:50:36 - mmengine - INFO - Epoch(train) [10][1380/4451] lr: 1.8253e-03 eta: 0:25:24 time: 0.4972 data_time: 0.0114 memory: 16785 grad_norm: 0.1230 loss: 0.0161 recall@thr=0.5: 0.7981 prec@thr=0.5: 0.8846 recall@top3: 0.9135 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4538 loss_action_cls: 0.0161 2022/12/05 11:50:46 - mmengine - INFO - Epoch(train) [10][1400/4451] lr: 1.8017e-03 eta: 0:25:14 time: 0.4970 data_time: 0.0114 memory: 16785 grad_norm: 0.1227 loss: 0.0162 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.8873 recall@top3: 0.9020 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0162 2022/12/05 11:50:56 - mmengine - INFO - Epoch(train) [10][1420/4451] lr: 1.7783e-03 eta: 0:25:04 time: 0.4973 data_time: 0.0111 memory: 16785 grad_norm: 0.1196 loss: 0.0156 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7667 recall@top3: 0.8958 prec@top3: 0.6833 recall@top5: 0.9667 prec@top5: 0.4500 loss_action_cls: 0.0156 2022/12/05 11:51:06 - mmengine - INFO - Epoch(train) [10][1440/4451] lr: 1.7551e-03 eta: 0:24:54 time: 0.4971 data_time: 0.0115 memory: 16785 grad_norm: 0.1288 loss: 0.0153 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6327 recall@top3: 0.8025 prec@top3: 0.6296 recall@top5: 0.9877 prec@top5: 0.4741 loss_action_cls: 0.0153 2022/12/05 11:51:16 - mmengine - INFO - Epoch(train) [10][1460/4451] lr: 1.7320e-03 eta: 0:24:44 time: 0.4977 data_time: 0.0111 memory: 16785 grad_norm: 0.1241 loss: 0.0160 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.9792 recall@top3: 0.8264 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4667 loss_action_cls: 0.0160 2022/12/05 11:51:26 - mmengine - INFO - Epoch(train) [10][1480/4451] lr: 1.7090e-03 eta: 0:24:34 time: 0.4980 data_time: 0.0112 memory: 16785 grad_norm: 0.1170 loss: 0.0158 recall@thr=0.5: 0.8983 prec@thr=0.5: 0.8833 recall@top3: 0.8800 prec@top3: 0.7000 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0158 2022/12/05 11:51:36 - mmengine - INFO - Epoch(train) [10][1500/4451] lr: 1.6862e-03 eta: 0:24:24 time: 0.4980 data_time: 0.0117 memory: 16785 grad_norm: 0.1241 loss: 0.0161 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.9015 recall@top3: 0.9129 prec@top3: 0.6061 recall@top5: 0.9659 prec@top5: 0.4000 loss_action_cls: 0.0161 2022/12/05 11:51:46 - mmengine - INFO - Epoch(train) [10][1520/4451] lr: 1.6636e-03 eta: 0:24:14 time: 0.4971 data_time: 0.0114 memory: 16785 grad_norm: 0.1202 loss: 0.0164 recall@thr=0.5: 0.8287 prec@thr=0.5: 0.8380 recall@top3: 0.8981 prec@top3: 0.5741 recall@top5: 0.9583 prec@top5: 0.3889 loss_action_cls: 0.0164 2022/12/05 11:51:56 - mmengine - INFO - Epoch(train) [10][1540/4451] lr: 1.6411e-03 eta: 0:24:04 time: 0.4969 data_time: 0.0111 memory: 16785 grad_norm: 0.1195 loss: 0.0163 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.9444 recall@top3: 0.9135 prec@top3: 0.7143 recall@top5: 0.9587 prec@top5: 0.4571 loss_action_cls: 0.0163 2022/12/05 11:52:06 - mmengine - INFO - Epoch(train) [10][1560/4451] lr: 1.6188e-03 eta: 0:23:54 time: 0.4983 data_time: 0.0115 memory: 16785 grad_norm: 0.1247 loss: 0.0168 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8947 recall@top3: 0.8947 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.5474 loss_action_cls: 0.0168 2022/12/05 11:52:16 - mmengine - INFO - Epoch(train) [10][1580/4451] lr: 1.5966e-03 eta: 0:23:44 time: 0.4967 data_time: 0.0114 memory: 16785 grad_norm: 0.1238 loss: 0.0150 recall@thr=0.5: 0.8848 prec@thr=0.5: 0.8902 recall@top3: 0.8848 prec@top3: 0.7727 recall@top5: 0.9500 prec@top5: 0.5182 loss_action_cls: 0.0150 2022/12/05 11:52:26 - mmengine - INFO - Epoch(train) [10][1600/4451] lr: 1.5745e-03 eta: 0:23:34 time: 0.4972 data_time: 0.0115 memory: 16785 grad_norm: 0.1251 loss: 0.0142 recall@thr=0.5: 0.8062 prec@thr=0.5: 0.8364 recall@top3: 0.8389 prec@top3: 0.5556 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0142 2022/12/05 11:52:36 - mmengine - INFO - Epoch(train) [10][1620/4451] lr: 1.5526e-03 eta: 0:23:25 time: 0.4972 data_time: 0.0114 memory: 16785 grad_norm: 0.1243 loss: 0.0165 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8426 recall@top3: 0.8981 prec@top3: 0.6111 recall@top5: 0.9259 prec@top5: 0.3889 loss_action_cls: 0.0165 2022/12/05 11:52:46 - mmengine - INFO - Epoch(train) [10][1640/4451] lr: 1.5309e-03 eta: 0:23:15 time: 0.4985 data_time: 0.0122 memory: 16785 grad_norm: 0.1229 loss: 0.0169 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.8258 recall@top3: 0.7614 prec@top3: 0.6515 recall@top5: 0.8598 prec@top5: 0.4455 loss_action_cls: 0.0169 2022/12/05 11:52:56 - mmengine - INFO - Epoch(train) [10][1660/4451] lr: 1.5093e-03 eta: 0:23:05 time: 0.4967 data_time: 0.0113 memory: 16785 grad_norm: 0.1229 loss: 0.0168 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8750 recall@top3: 0.8438 prec@top3: 0.6667 recall@top5: 0.9010 prec@top5: 0.4375 loss_action_cls: 0.0168 2022/12/05 11:53:06 - mmengine - INFO - Epoch(train) [10][1680/4451] lr: 1.4879e-03 eta: 0:22:55 time: 0.4976 data_time: 0.0111 memory: 16785 grad_norm: 0.1212 loss: 0.0160 recall@thr=0.5: 0.7981 prec@thr=0.5: 0.9722 recall@top3: 0.8444 prec@top3: 0.6852 recall@top5: 0.9630 prec@top5: 0.5000 loss_action_cls: 0.0160 2022/12/05 11:53:16 - mmengine - INFO - Epoch(train) [10][1700/4451] lr: 1.4666e-03 eta: 0:22:45 time: 0.4976 data_time: 0.0112 memory: 16785 grad_norm: 0.1191 loss: 0.0156 recall@thr=0.5: 0.7833 prec@thr=0.5: 1.0000 recall@top3: 0.8944 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.5333 loss_action_cls: 0.0156 2022/12/05 11:53:26 - mmengine - INFO - Epoch(train) [10][1720/4451] lr: 1.4454e-03 eta: 0:22:35 time: 0.4975 data_time: 0.0117 memory: 16785 grad_norm: 0.1196 loss: 0.0164 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8529 recall@top3: 0.8824 prec@top3: 0.6471 recall@top5: 0.8824 prec@top5: 0.3882 loss_action_cls: 0.0164 2022/12/05 11:53:36 - mmengine - INFO - Epoch(train) [10][1740/4451] lr: 1.4245e-03 eta: 0:22:25 time: 0.4972 data_time: 0.0113 memory: 16785 grad_norm: 0.1187 loss: 0.0159 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8167 recall@top3: 0.9250 prec@top3: 0.5500 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0159 2022/12/05 11:53:46 - mmengine - INFO - Epoch(train) [10][1760/4451] lr: 1.4036e-03 eta: 0:22:15 time: 0.4983 data_time: 0.0115 memory: 16785 grad_norm: 0.1229 loss: 0.0161 recall@thr=0.5: 0.7885 prec@thr=0.5: 0.7692 recall@top3: 0.8910 prec@top3: 0.7564 recall@top5: 1.0000 prec@top5: 0.5231 loss_action_cls: 0.0161 2022/12/05 11:53:55 - mmengine - INFO - Epoch(train) [10][1780/4451] lr: 1.3829e-03 eta: 0:22:05 time: 0.4975 data_time: 0.0114 memory: 16785 grad_norm: 0.1195 loss: 0.0163 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.8083 recall@top3: 0.7315 prec@top3: 0.6852 recall@top5: 0.8333 prec@top5: 0.4778 loss_action_cls: 0.0163 2022/12/05 11:54:05 - mmengine - INFO - Epoch(train) [10][1800/4451] lr: 1.3624e-03 eta: 0:21:55 time: 0.4970 data_time: 0.0108 memory: 16785 grad_norm: 0.1221 loss: 0.0146 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.9470 recall@top3: 0.9242 prec@top3: 0.8030 recall@top5: 0.9508 prec@top5: 0.5000 loss_action_cls: 0.0146 2022/12/05 11:54:15 - mmengine - INFO - Epoch(train) [10][1820/4451] lr: 1.3420e-03 eta: 0:21:45 time: 0.4970 data_time: 0.0112 memory: 16785 grad_norm: 0.1238 loss: 0.0170 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.7807 recall@top3: 0.9474 prec@top3: 0.5965 recall@top5: 0.9474 prec@top5: 0.3579 loss_action_cls: 0.0170 2022/12/05 11:54:25 - mmengine - INFO - Epoch(train) [10][1840/4451] lr: 1.3218e-03 eta: 0:21:35 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1198 loss: 0.0160 recall@thr=0.5: 0.7981 prec@thr=0.5: 0.7756 recall@top3: 0.7917 prec@top3: 0.5513 recall@top5: 0.9647 prec@top5: 0.4077 loss_action_cls: 0.0160 2022/12/05 11:54:35 - mmengine - INFO - Epoch(train) [10][1860/4451] lr: 1.3017e-03 eta: 0:21:25 time: 0.4979 data_time: 0.0109 memory: 16785 grad_norm: 0.1277 loss: 0.0156 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8208 recall@top3: 0.8167 prec@top3: 0.6167 recall@top5: 0.9625 prec@top5: 0.4400 loss_action_cls: 0.0156 2022/12/05 11:54:45 - mmengine - INFO - Epoch(train) [10][1880/4451] lr: 1.2818e-03 eta: 0:21:15 time: 0.4980 data_time: 0.0112 memory: 16785 grad_norm: 0.1197 loss: 0.0165 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8981 recall@top3: 0.8796 prec@top3: 0.6481 recall@top5: 0.9861 prec@top5: 0.4556 loss_action_cls: 0.0165 2022/12/05 11:54:55 - mmengine - INFO - Epoch(train) [10][1900/4451] lr: 1.2620e-03 eta: 0:21:06 time: 0.4978 data_time: 0.0111 memory: 16785 grad_norm: 0.1253 loss: 0.0152 recall@thr=0.5: 0.9352 prec@thr=0.5: 0.8241 recall@top3: 0.9537 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0152 2022/12/05 11:55:05 - mmengine - INFO - Epoch(train) [10][1920/4451] lr: 1.2424e-03 eta: 0:20:56 time: 0.4970 data_time: 0.0114 memory: 16785 grad_norm: 0.1217 loss: 0.0158 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.7982 recall@top3: 0.9737 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0158 2022/12/05 11:55:15 - mmengine - INFO - Epoch(train) [10][1940/4451] lr: 1.2229e-03 eta: 0:20:46 time: 0.4977 data_time: 0.0113 memory: 16785 grad_norm: 0.1186 loss: 0.0160 recall@thr=0.5: 0.8646 prec@thr=0.5: 1.0000 recall@top3: 0.9688 prec@top3: 0.7917 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0160 2022/12/05 11:55:16 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 11:55:25 - mmengine - INFO - Epoch(train) [10][1960/4451] lr: 1.2036e-03 eta: 0:20:36 time: 0.4977 data_time: 0.0112 memory: 16785 grad_norm: 0.1230 loss: 0.0153 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.9537 recall@top3: 0.9352 prec@top3: 0.6111 recall@top5: 0.9815 prec@top5: 0.4000 loss_action_cls: 0.0153 2022/12/05 11:55:35 - mmengine - INFO - Epoch(train) [10][1980/4451] lr: 1.1845e-03 eta: 0:20:26 time: 0.4968 data_time: 0.0111 memory: 16785 grad_norm: 0.1227 loss: 0.0155 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7333 recall@top3: 0.7208 prec@top3: 0.4500 recall@top5: 0.8083 prec@top5: 0.3000 loss_action_cls: 0.0155 2022/12/05 11:55:45 - mmengine - INFO - Epoch(train) [10][2000/4451] lr: 1.1654e-03 eta: 0:20:16 time: 0.4978 data_time: 0.0114 memory: 16785 grad_norm: 0.1186 loss: 0.0168 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7604 recall@top3: 0.8750 prec@top3: 0.5833 recall@top5: 0.9062 prec@top5: 0.3625 loss_action_cls: 0.0168 2022/12/05 11:55:55 - mmengine - INFO - Epoch(train) [10][2020/4451] lr: 1.1466e-03 eta: 0:20:06 time: 0.4972 data_time: 0.0110 memory: 16785 grad_norm: 0.1262 loss: 0.0166 recall@thr=0.5: 0.5841 prec@thr=0.5: 0.7778 recall@top3: 0.7667 prec@top3: 0.6032 recall@top5: 0.9048 prec@top5: 0.4476 loss_action_cls: 0.0166 2022/12/05 11:56:05 - mmengine - INFO - Epoch(train) [10][2040/4451] lr: 1.1279e-03 eta: 0:19:56 time: 0.4976 data_time: 0.0117 memory: 16785 grad_norm: 0.1216 loss: 0.0147 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.9174 recall@top3: 0.8160 prec@top3: 0.8194 recall@top5: 0.9618 prec@top5: 0.6167 loss_action_cls: 0.0147 2022/12/05 11:56:15 - mmengine - INFO - Epoch(train) [10][2060/4451] lr: 1.1093e-03 eta: 0:19:46 time: 0.4971 data_time: 0.0116 memory: 16785 grad_norm: 0.1224 loss: 0.0155 recall@thr=0.5: 0.7974 prec@thr=0.5: 0.7807 recall@top3: 0.7737 prec@top3: 0.5439 recall@top5: 0.9474 prec@top5: 0.4105 loss_action_cls: 0.0155 2022/12/05 11:56:25 - mmengine - INFO - Epoch(train) [10][2080/4451] lr: 1.0909e-03 eta: 0:19:36 time: 0.4975 data_time: 0.0115 memory: 16785 grad_norm: 0.1212 loss: 0.0136 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9167 recall@top3: 0.9643 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0136 2022/12/05 11:56:35 - mmengine - INFO - Epoch(train) [10][2100/4451] lr: 1.0727e-03 eta: 0:19:26 time: 0.4996 data_time: 0.0131 memory: 16785 grad_norm: 0.1184 loss: 0.0147 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8526 recall@top3: 0.8333 prec@top3: 0.7051 recall@top5: 0.9327 prec@top5: 0.4846 loss_action_cls: 0.0147 2022/12/05 11:56:45 - mmengine - INFO - Epoch(train) [10][2120/4451] lr: 1.0546e-03 eta: 0:19:16 time: 0.4977 data_time: 0.0119 memory: 16785 grad_norm: 0.1253 loss: 0.0150 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.9687 recall@top3: 0.8958 prec@top3: 0.7708 recall@top5: 0.9635 prec@top5: 0.5000 loss_action_cls: 0.0150 2022/12/05 11:56:55 - mmengine - INFO - Epoch(train) [10][2140/4451] lr: 1.0366e-03 eta: 0:19:06 time: 0.4984 data_time: 0.0119 memory: 16785 grad_norm: 0.1277 loss: 0.0140 recall@thr=0.5: 0.7155 prec@thr=0.5: 0.7126 recall@top3: 0.8448 prec@top3: 0.4828 recall@top5: 0.9569 prec@top5: 0.3448 loss_action_cls: 0.0140 2022/12/05 11:57:05 - mmengine - INFO - Epoch(train) [10][2160/4451] lr: 1.0188e-03 eta: 0:18:57 time: 0.4973 data_time: 0.0114 memory: 16785 grad_norm: 0.1162 loss: 0.0144 recall@thr=0.5: 0.7861 prec@thr=0.5: 0.8472 recall@top3: 0.8389 prec@top3: 0.7111 recall@top5: 0.9500 prec@top5: 0.4933 loss_action_cls: 0.0144 2022/12/05 11:57:15 - mmengine - INFO - Epoch(train) [10][2180/4451] lr: 1.0012e-03 eta: 0:18:47 time: 0.4970 data_time: 0.0115 memory: 16785 grad_norm: 0.1162 loss: 0.0155 recall@thr=0.5: 0.7020 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.6275 recall@top5: 0.9098 prec@top5: 0.4353 loss_action_cls: 0.0155 2022/12/05 11:57:25 - mmengine - INFO - Epoch(train) [10][2200/4451] lr: 9.8368e-04 eta: 0:18:37 time: 0.4978 data_time: 0.0113 memory: 16785 grad_norm: 0.1203 loss: 0.0146 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.8718 recall@top3: 0.8109 prec@top3: 0.5897 recall@top5: 0.9551 prec@top5: 0.4308 loss_action_cls: 0.0146 2022/12/05 11:57:34 - mmengine - INFO - Epoch(train) [10][2220/4451] lr: 9.6634e-04 eta: 0:18:27 time: 0.4975 data_time: 0.0112 memory: 16785 grad_norm: 0.1227 loss: 0.0163 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.7767 recall@top3: 0.8500 prec@top3: 0.6533 recall@top5: 0.9667 prec@top5: 0.4560 loss_action_cls: 0.0163 2022/12/05 11:57:44 - mmengine - INFO - Epoch(train) [10][2240/4451] lr: 9.4915e-04 eta: 0:18:17 time: 0.4982 data_time: 0.0113 memory: 16785 grad_norm: 0.1185 loss: 0.0164 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7159 recall@top3: 0.8409 prec@top3: 0.6364 recall@top5: 0.9697 prec@top5: 0.4455 loss_action_cls: 0.0164 2022/12/05 11:57:54 - mmengine - INFO - Epoch(train) [10][2260/4451] lr: 9.3212e-04 eta: 0:18:07 time: 0.4975 data_time: 0.0110 memory: 16785 grad_norm: 0.1245 loss: 0.0146 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8333 recall@top3: 0.9015 prec@top3: 0.6667 recall@top5: 0.9470 prec@top5: 0.4364 loss_action_cls: 0.0146 2022/12/05 11:58:04 - mmengine - INFO - Epoch(train) [10][2280/4451] lr: 9.1524e-04 eta: 0:17:57 time: 0.4970 data_time: 0.0115 memory: 16785 grad_norm: 0.1211 loss: 0.0147 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8889 recall@top3: 0.8571 prec@top3: 0.8095 recall@top5: 0.9722 prec@top5: 0.5714 loss_action_cls: 0.0147 2022/12/05 11:58:14 - mmengine - INFO - Epoch(train) [10][2300/4451] lr: 8.9851e-04 eta: 0:17:47 time: 0.4968 data_time: 0.0114 memory: 16785 grad_norm: 0.1202 loss: 0.0155 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.7424 recall@top3: 0.9394 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0155 2022/12/05 11:58:24 - mmengine - INFO - Epoch(train) [10][2320/4451] lr: 8.8194e-04 eta: 0:17:37 time: 0.4972 data_time: 0.0114 memory: 16785 grad_norm: 0.1219 loss: 0.0152 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.7778 recall@top3: 0.8667 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.3600 loss_action_cls: 0.0152 2022/12/05 11:58:34 - mmengine - INFO - Epoch(train) [10][2340/4451] lr: 8.6552e-04 eta: 0:17:27 time: 0.4966 data_time: 0.0106 memory: 16785 grad_norm: 0.1233 loss: 0.0146 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8173 recall@top3: 0.8718 prec@top3: 0.8077 recall@top5: 1.0000 prec@top5: 0.5615 loss_action_cls: 0.0146 2022/12/05 11:58:44 - mmengine - INFO - Epoch(train) [10][2360/4451] lr: 8.4925e-04 eta: 0:17:17 time: 0.4982 data_time: 0.0123 memory: 16785 grad_norm: 0.1213 loss: 0.0170 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.8148 recall@top3: 0.6898 prec@top3: 0.5556 recall@top5: 0.7917 prec@top5: 0.3889 loss_action_cls: 0.0170 2022/12/05 11:58:54 - mmengine - INFO - Epoch(train) [10][2380/4451] lr: 8.3313e-04 eta: 0:17:07 time: 0.4973 data_time: 0.0110 memory: 16785 grad_norm: 0.1203 loss: 0.0156 recall@thr=0.5: 0.5796 prec@thr=0.5: 0.7833 recall@top3: 0.6963 prec@top3: 0.5370 recall@top5: 0.9130 prec@top5: 0.4444 loss_action_cls: 0.0156 2022/12/05 11:59:04 - mmengine - INFO - Epoch(train) [10][2400/4451] lr: 8.1717e-04 eta: 0:16:57 time: 0.4971 data_time: 0.0110 memory: 16785 grad_norm: 0.1180 loss: 0.0153 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.6957 recall@top3: 0.7754 prec@top3: 0.5652 recall@top5: 0.9420 prec@top5: 0.4261 loss_action_cls: 0.0153 2022/12/05 11:59:14 - mmengine - INFO - Epoch(train) [10][2420/4451] lr: 8.0136e-04 eta: 0:16:48 time: 0.4974 data_time: 0.0110 memory: 16785 grad_norm: 0.1219 loss: 0.0152 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.7361 recall@top3: 0.8819 prec@top3: 0.6944 recall@top5: 0.9583 prec@top5: 0.4583 loss_action_cls: 0.0152 2022/12/05 11:59:24 - mmengine - INFO - Epoch(train) [10][2440/4451] lr: 7.8571e-04 eta: 0:16:38 time: 0.4974 data_time: 0.0116 memory: 16785 grad_norm: 0.1195 loss: 0.0161 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5958 recall@top3: 0.6583 prec@top3: 0.5333 recall@top5: 0.9167 prec@top5: 0.4300 loss_action_cls: 0.0161 2022/12/05 11:59:34 - mmengine - INFO - Epoch(train) [10][2460/4451] lr: 7.7020e-04 eta: 0:16:28 time: 0.4970 data_time: 0.0112 memory: 16785 grad_norm: 0.1193 loss: 0.0160 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7407 recall@top3: 0.8194 prec@top3: 0.6852 recall@top5: 0.9074 prec@top5: 0.4667 loss_action_cls: 0.0160 2022/12/05 11:59:44 - mmengine - INFO - Epoch(train) [10][2480/4451] lr: 7.5485e-04 eta: 0:16:18 time: 0.4976 data_time: 0.0113 memory: 16785 grad_norm: 0.1227 loss: 0.0145 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7917 recall@top3: 0.9500 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.3800 loss_action_cls: 0.0145 2022/12/05 11:59:54 - mmengine - INFO - Epoch(train) [10][2500/4451] lr: 7.3966e-04 eta: 0:16:08 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1231 loss: 0.0149 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7176 recall@top3: 0.8796 prec@top3: 0.6296 recall@top5: 0.9861 prec@top5: 0.4222 loss_action_cls: 0.0149 2022/12/05 12:00:04 - mmengine - INFO - Epoch(train) [10][2520/4451] lr: 7.2461e-04 eta: 0:15:58 time: 0.4988 data_time: 0.0122 memory: 16785 grad_norm: 0.1218 loss: 0.0158 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.6701 recall@top3: 0.7153 prec@top3: 0.6389 recall@top5: 0.8472 prec@top5: 0.4333 loss_action_cls: 0.0158 2022/12/05 12:00:14 - mmengine - INFO - Epoch(train) [10][2540/4451] lr: 7.0973e-04 eta: 0:15:48 time: 0.4967 data_time: 0.0107 memory: 16785 grad_norm: 0.1221 loss: 0.0165 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.9211 recall@top3: 0.8860 prec@top3: 0.7368 recall@top5: 0.9737 prec@top5: 0.5053 loss_action_cls: 0.0165 2022/12/05 12:00:24 - mmengine - INFO - Epoch(train) [10][2560/4451] lr: 6.9499e-04 eta: 0:15:38 time: 0.4969 data_time: 0.0115 memory: 16785 grad_norm: 0.1187 loss: 0.0150 recall@thr=0.5: 0.7713 prec@thr=0.5: 0.8130 recall@top3: 0.8213 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0150 2022/12/05 12:00:34 - mmengine - INFO - Epoch(train) [10][2580/4451] lr: 6.8041e-04 eta: 0:15:28 time: 0.4967 data_time: 0.0106 memory: 16785 grad_norm: 0.1221 loss: 0.0152 recall@thr=0.5: 0.8295 prec@thr=0.5: 0.9318 recall@top3: 0.9129 prec@top3: 0.6970 recall@top5: 0.9773 prec@top5: 0.4545 loss_action_cls: 0.0152 2022/12/05 12:00:43 - mmengine - INFO - Epoch(train) [10][2600/4451] lr: 6.6598e-04 eta: 0:15:18 time: 0.4969 data_time: 0.0115 memory: 16785 grad_norm: 0.1245 loss: 0.0147 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9000 recall@top3: 0.9556 prec@top3: 0.4889 recall@top5: 1.0000 prec@top5: 0.3200 loss_action_cls: 0.0147 2022/12/05 12:00:53 - mmengine - INFO - Epoch(train) [10][2620/4451] lr: 6.5170e-04 eta: 0:15:08 time: 0.4966 data_time: 0.0114 memory: 16785 grad_norm: 0.1212 loss: 0.0164 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8167 recall@top3: 0.8778 prec@top3: 0.7556 recall@top5: 0.9444 prec@top5: 0.4933 loss_action_cls: 0.0164 2022/12/05 12:01:03 - mmengine - INFO - Epoch(train) [10][2640/4451] lr: 6.3758e-04 eta: 0:14:58 time: 0.4966 data_time: 0.0115 memory: 16785 grad_norm: 0.1242 loss: 0.0151 recall@thr=0.5: 0.9211 prec@thr=0.5: 0.8386 recall@top3: 0.8947 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0151 2022/12/05 12:01:13 - mmengine - INFO - Epoch(train) [10][2660/4451] lr: 6.2361e-04 eta: 0:14:48 time: 0.4965 data_time: 0.0110 memory: 16785 grad_norm: 0.1246 loss: 0.0149 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8889 recall@top3: 0.8889 prec@top3: 0.6481 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0149 2022/12/05 12:01:23 - mmengine - INFO - Epoch(train) [10][2680/4451] lr: 6.0980e-04 eta: 0:14:38 time: 0.4974 data_time: 0.0114 memory: 16785 grad_norm: 0.1219 loss: 0.0162 recall@thr=0.5: 0.7402 prec@thr=0.5: 0.8235 recall@top3: 0.8922 prec@top3: 0.6471 recall@top5: 0.9853 prec@top5: 0.4471 loss_action_cls: 0.0162 2022/12/05 12:01:33 - mmengine - INFO - Epoch(train) [10][2700/4451] lr: 5.9614e-04 eta: 0:14:29 time: 0.4977 data_time: 0.0111 memory: 16785 grad_norm: 0.1234 loss: 0.0164 recall@thr=0.5: 0.9069 prec@thr=0.5: 0.8873 recall@top3: 0.9706 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.3882 loss_action_cls: 0.0164 2022/12/05 12:01:43 - mmengine - INFO - Epoch(train) [10][2720/4451] lr: 5.8263e-04 eta: 0:14:19 time: 0.4979 data_time: 0.0117 memory: 16785 grad_norm: 0.1198 loss: 0.0150 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.9278 recall@top3: 0.7167 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.5200 loss_action_cls: 0.0150 2022/12/05 12:01:53 - mmengine - INFO - Epoch(train) [10][2740/4451] lr: 5.6928e-04 eta: 0:14:09 time: 0.4978 data_time: 0.0115 memory: 16785 grad_norm: 0.1270 loss: 0.0163 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.6228 recall@top3: 0.8333 prec@top3: 0.5614 recall@top5: 0.8816 prec@top5: 0.3684 loss_action_cls: 0.0163 2022/12/05 12:02:03 - mmengine - INFO - Epoch(train) [10][2760/4451] lr: 5.5608e-04 eta: 0:13:59 time: 0.4970 data_time: 0.0111 memory: 16785 grad_norm: 0.1233 loss: 0.0141 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8924 recall@top3: 0.8958 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0141 2022/12/05 12:02:13 - mmengine - INFO - Epoch(train) [10][2780/4451] lr: 5.4304e-04 eta: 0:13:49 time: 0.4976 data_time: 0.0106 memory: 16785 grad_norm: 0.1220 loss: 0.0164 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8810 recall@top3: 0.7857 prec@top3: 0.5556 recall@top5: 0.8651 prec@top5: 0.3714 loss_action_cls: 0.0164 2022/12/05 12:02:23 - mmengine - INFO - Epoch(train) [10][2800/4451] lr: 5.3015e-04 eta: 0:13:39 time: 0.4974 data_time: 0.0110 memory: 16785 grad_norm: 0.1223 loss: 0.0151 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7281 recall@top3: 0.8684 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0151 2022/12/05 12:02:33 - mmengine - INFO - Epoch(train) [10][2820/4451] lr: 5.1741e-04 eta: 0:13:29 time: 0.4971 data_time: 0.0114 memory: 16785 grad_norm: 0.1201 loss: 0.0164 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.8500 recall@top3: 0.7850 prec@top3: 0.6667 recall@top5: 0.9550 prec@top5: 0.4700 loss_action_cls: 0.0164 2022/12/05 12:02:43 - mmengine - INFO - Epoch(train) [10][2840/4451] lr: 5.0483e-04 eta: 0:13:19 time: 0.4975 data_time: 0.0119 memory: 16785 grad_norm: 0.1182 loss: 0.0140 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.8194 recall@top3: 0.7708 prec@top3: 0.6806 recall@top5: 0.9375 prec@top5: 0.5083 loss_action_cls: 0.0140 2022/12/05 12:02:53 - mmengine - INFO - Epoch(train) [10][2860/4451] lr: 4.9240e-04 eta: 0:13:09 time: 0.4978 data_time: 0.0115 memory: 16785 grad_norm: 0.1210 loss: 0.0175 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7250 recall@top3: 0.8333 prec@top3: 0.6333 recall@top5: 0.9750 prec@top5: 0.4600 loss_action_cls: 0.0175 2022/12/05 12:03:03 - mmengine - INFO - Epoch(train) [10][2880/4451] lr: 4.8012e-04 eta: 0:12:59 time: 0.4975 data_time: 0.0116 memory: 16785 grad_norm: 0.1256 loss: 0.0146 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.7955 recall@top3: 0.9508 prec@top3: 0.6364 recall@top5: 0.9848 prec@top5: 0.4091 loss_action_cls: 0.0146 2022/12/05 12:03:13 - mmengine - INFO - Epoch(train) [10][2900/4451] lr: 4.6800e-04 eta: 0:12:49 time: 0.4972 data_time: 0.0118 memory: 16785 grad_norm: 0.1184 loss: 0.0146 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7778 recall@top3: 0.9167 prec@top3: 0.4815 recall@top5: 0.9722 prec@top5: 0.3111 loss_action_cls: 0.0146 2022/12/05 12:03:23 - mmengine - INFO - Epoch(train) [10][2920/4451] lr: 4.5604e-04 eta: 0:12:39 time: 0.4982 data_time: 0.0119 memory: 16785 grad_norm: 0.1250 loss: 0.0161 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8506 recall@top3: 0.8184 prec@top3: 0.6552 recall@top5: 0.9178 prec@top5: 0.4690 loss_action_cls: 0.0161 2022/12/05 12:03:33 - mmengine - INFO - Epoch(train) [10][2940/4451] lr: 4.4423e-04 eta: 0:12:29 time: 0.4981 data_time: 0.0111 memory: 16785 grad_norm: 0.1265 loss: 0.0152 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.7941 recall@top3: 0.8529 prec@top3: 0.6471 recall@top5: 0.8824 prec@top5: 0.4118 loss_action_cls: 0.0152 2022/12/05 12:03:33 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 12:03:43 - mmengine - INFO - Epoch(train) [10][2960/4451] lr: 4.3257e-04 eta: 0:12:20 time: 0.4981 data_time: 0.0119 memory: 16785 grad_norm: 0.1174 loss: 0.0160 recall@thr=0.5: 0.7972 prec@thr=0.5: 0.8056 recall@top3: 0.8478 prec@top3: 0.7111 recall@top5: 0.9633 prec@top5: 0.5133 loss_action_cls: 0.0160 2022/12/05 12:03:53 - mmengine - INFO - Epoch(train) [10][2980/4451] lr: 4.2107e-04 eta: 0:12:10 time: 0.4969 data_time: 0.0109 memory: 16785 grad_norm: 0.1205 loss: 0.0148 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9167 recall@top3: 0.7817 prec@top3: 0.6667 recall@top5: 0.9800 prec@top5: 0.5100 loss_action_cls: 0.0148 2022/12/05 12:04:03 - mmengine - INFO - Epoch(train) [10][3000/4451] lr: 4.0972e-04 eta: 0:12:00 time: 0.4964 data_time: 0.0118 memory: 16785 grad_norm: 0.1173 loss: 0.0146 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.9444 recall@top3: 0.9352 prec@top3: 0.4444 recall@top5: 0.9537 prec@top5: 0.2778 loss_action_cls: 0.0146 2022/12/05 12:04:12 - mmengine - INFO - Epoch(train) [10][3020/4451] lr: 3.9852e-04 eta: 0:11:50 time: 0.4972 data_time: 0.0112 memory: 16785 grad_norm: 0.1229 loss: 0.0152 recall@thr=0.5: 0.7413 prec@thr=0.5: 0.7971 recall@top3: 0.7833 prec@top3: 0.6812 recall@top5: 0.9333 prec@top5: 0.5217 loss_action_cls: 0.0152 2022/12/05 12:04:22 - mmengine - INFO - Epoch(train) [10][3040/4451] lr: 3.8748e-04 eta: 0:11:40 time: 0.4982 data_time: 0.0114 memory: 16785 grad_norm: 0.1212 loss: 0.0168 recall@thr=0.5: 0.7089 prec@thr=0.5: 0.8533 recall@top3: 0.7956 prec@top3: 0.5556 recall@top5: 0.8922 prec@top5: 0.3867 loss_action_cls: 0.0168 2022/12/05 12:04:32 - mmengine - INFO - Epoch(train) [10][3060/4451] lr: 3.7660e-04 eta: 0:11:30 time: 0.4976 data_time: 0.0116 memory: 16785 grad_norm: 0.1176 loss: 0.0158 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8403 recall@top3: 0.9375 prec@top3: 0.7361 recall@top5: 0.9792 prec@top5: 0.4667 loss_action_cls: 0.0158 2022/12/05 12:04:42 - mmengine - INFO - Epoch(train) [10][3080/4451] lr: 3.6587e-04 eta: 0:11:20 time: 0.4969 data_time: 0.0118 memory: 16785 grad_norm: 0.1190 loss: 0.0148 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.9185 recall@top3: 0.7778 prec@top3: 0.6296 recall@top5: 0.8194 prec@top5: 0.4111 loss_action_cls: 0.0148 2022/12/05 12:04:52 - mmengine - INFO - Epoch(train) [10][3100/4451] lr: 3.5529e-04 eta: 0:11:10 time: 0.4983 data_time: 0.0107 memory: 16785 grad_norm: 0.1227 loss: 0.0159 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.7222 recall@top3: 0.7014 prec@top3: 0.6806 recall@top5: 0.9167 prec@top5: 0.5167 loss_action_cls: 0.0159 2022/12/05 12:05:02 - mmengine - INFO - Epoch(train) [10][3120/4451] lr: 3.4487e-04 eta: 0:11:00 time: 0.4982 data_time: 0.0115 memory: 16785 grad_norm: 0.1252 loss: 0.0146 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6905 recall@top3: 0.7857 prec@top3: 0.4524 recall@top5: 0.8929 prec@top5: 0.3143 loss_action_cls: 0.0146 2022/12/05 12:05:12 - mmengine - INFO - Epoch(train) [10][3140/4451] lr: 3.3460e-04 eta: 0:10:50 time: 0.4977 data_time: 0.0111 memory: 16785 grad_norm: 0.1228 loss: 0.0177 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.7464 recall@top3: 0.9130 prec@top3: 0.5507 recall@top5: 0.9855 prec@top5: 0.3739 loss_action_cls: 0.0177 2022/12/05 12:05:22 - mmengine - INFO - Epoch(train) [10][3160/4451] lr: 3.2449e-04 eta: 0:10:40 time: 0.4987 data_time: 0.0116 memory: 16785 grad_norm: 0.1210 loss: 0.0155 recall@thr=0.5: 0.4435 prec@thr=0.5: 0.5952 recall@top3: 0.6518 prec@top3: 0.5238 recall@top5: 0.7500 prec@top5: 0.3714 loss_action_cls: 0.0155 2022/12/05 12:05:32 - mmengine - INFO - Epoch(train) [10][3180/4451] lr: 3.1453e-04 eta: 0:10:30 time: 0.4974 data_time: 0.0118 memory: 16785 grad_norm: 0.1162 loss: 0.0162 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.6891 recall@top3: 0.7609 prec@top3: 0.5362 recall@top5: 0.9493 prec@top5: 0.4087 loss_action_cls: 0.0162 2022/12/05 12:05:42 - mmengine - INFO - Epoch(train) [10][3200/4451] lr: 3.0473e-04 eta: 0:10:20 time: 0.4987 data_time: 0.0126 memory: 16785 grad_norm: 0.1263 loss: 0.0150 recall@thr=0.5: 0.7194 prec@thr=0.5: 0.8278 recall@top3: 0.8139 prec@top3: 0.6889 recall@top5: 0.9278 prec@top5: 0.4800 loss_action_cls: 0.0150 2022/12/05 12:05:52 - mmengine - INFO - Epoch(train) [10][3220/4451] lr: 2.9508e-04 eta: 0:10:10 time: 0.4976 data_time: 0.0110 memory: 16785 grad_norm: 0.1217 loss: 0.0149 recall@thr=0.5: 0.7033 prec@thr=0.5: 0.6800 recall@top3: 0.8633 prec@top3: 0.6267 recall@top5: 0.9600 prec@top5: 0.4240 loss_action_cls: 0.0149 2022/12/05 12:06:02 - mmengine - INFO - Epoch(train) [10][3240/4451] lr: 2.8559e-04 eta: 0:10:01 time: 0.4977 data_time: 0.0114 memory: 16785 grad_norm: 0.1261 loss: 0.0159 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7976 recall@top3: 0.7500 prec@top3: 0.7460 recall@top5: 0.8770 prec@top5: 0.5333 loss_action_cls: 0.0159 2022/12/05 12:06:12 - mmengine - INFO - Epoch(train) [10][3260/4451] lr: 2.7625e-04 eta: 0:09:51 time: 0.4970 data_time: 0.0111 memory: 16785 grad_norm: 0.1208 loss: 0.0149 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8556 recall@top3: 0.8333 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.4333 loss_action_cls: 0.0149 2022/12/05 12:06:22 - mmengine - INFO - Epoch(train) [10][3280/4451] lr: 2.6706e-04 eta: 0:09:41 time: 0.4970 data_time: 0.0112 memory: 16785 grad_norm: 0.1192 loss: 0.0148 recall@thr=0.5: 0.7591 prec@thr=0.5: 0.9242 recall@top3: 0.8530 prec@top3: 0.7778 recall@top5: 0.9879 prec@top5: 0.5576 loss_action_cls: 0.0148 2022/12/05 12:06:32 - mmengine - INFO - Epoch(train) [10][3300/4451] lr: 2.5803e-04 eta: 0:09:31 time: 0.4994 data_time: 0.0119 memory: 16785 grad_norm: 0.1191 loss: 0.0152 recall@thr=0.5: 0.5048 prec@thr=0.5: 0.7381 recall@top3: 0.7405 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0152 2022/12/05 12:06:42 - mmengine - INFO - Epoch(train) [10][3320/4451] lr: 2.4916e-04 eta: 0:09:21 time: 0.4987 data_time: 0.0114 memory: 16785 grad_norm: 0.1245 loss: 0.0163 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8043 recall@top3: 0.8333 prec@top3: 0.7971 recall@top5: 0.9420 prec@top5: 0.5478 loss_action_cls: 0.0163 2022/12/05 12:06:52 - mmengine - INFO - Epoch(train) [10][3340/4451] lr: 2.4044e-04 eta: 0:09:11 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1231 loss: 0.0160 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7895 recall@top3: 0.8772 prec@top3: 0.5614 recall@top5: 0.9211 prec@top5: 0.3579 loss_action_cls: 0.0160 2022/12/05 12:07:02 - mmengine - INFO - Epoch(train) [10][3360/4451] lr: 2.3187e-04 eta: 0:09:01 time: 0.4977 data_time: 0.0118 memory: 16785 grad_norm: 0.1188 loss: 0.0152 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.7917 recall@top3: 0.8333 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4364 loss_action_cls: 0.0152 2022/12/05 12:07:12 - mmengine - INFO - Epoch(train) [10][3380/4451] lr: 2.2347e-04 eta: 0:08:51 time: 0.4977 data_time: 0.0114 memory: 16785 grad_norm: 0.1161 loss: 0.0144 recall@thr=0.5: 0.5867 prec@thr=0.5: 0.7800 recall@top3: 0.7533 prec@top3: 0.6667 recall@top5: 0.9733 prec@top5: 0.5200 loss_action_cls: 0.0144 2022/12/05 12:07:22 - mmengine - INFO - Epoch(train) [10][3400/4451] lr: 2.1521e-04 eta: 0:08:41 time: 0.4978 data_time: 0.0113 memory: 16785 grad_norm: 0.1252 loss: 0.0161 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7917 recall@top3: 0.7521 prec@top3: 0.7187 recall@top5: 0.9146 prec@top5: 0.5625 loss_action_cls: 0.0161 2022/12/05 12:07:32 - mmengine - INFO - Epoch(train) [10][3420/4451] lr: 2.0711e-04 eta: 0:08:31 time: 0.4988 data_time: 0.0117 memory: 16785 grad_norm: 0.1220 loss: 0.0158 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9083 recall@top3: 0.9542 prec@top3: 0.8000 recall@top5: 0.9875 prec@top5: 0.5000 loss_action_cls: 0.0158 2022/12/05 12:07:42 - mmengine - INFO - Epoch(train) [10][3440/4451] lr: 1.9917e-04 eta: 0:08:21 time: 0.4972 data_time: 0.0114 memory: 16785 grad_norm: 0.1262 loss: 0.0162 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.7333 recall@top3: 0.8194 prec@top3: 0.6111 recall@top5: 0.9306 prec@top5: 0.4267 loss_action_cls: 0.0162 2022/12/05 12:07:52 - mmengine - INFO - Epoch(train) [10][3460/4451] lr: 1.9138e-04 eta: 0:08:11 time: 0.4979 data_time: 0.0114 memory: 16785 grad_norm: 0.1200 loss: 0.0159 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8639 recall@top3: 0.8194 prec@top3: 0.7500 recall@top5: 0.9444 prec@top5: 0.5417 loss_action_cls: 0.0159 2022/12/05 12:08:02 - mmengine - INFO - Epoch(train) [10][3480/4451] lr: 1.8374e-04 eta: 0:08:01 time: 0.4983 data_time: 0.0119 memory: 16785 grad_norm: 0.1216 loss: 0.0145 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8431 recall@top3: 0.9118 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4471 loss_action_cls: 0.0145 2022/12/05 12:08:12 - mmengine - INFO - Epoch(train) [10][3500/4451] lr: 1.7626e-04 eta: 0:07:52 time: 0.4979 data_time: 0.0118 memory: 16785 grad_norm: 0.1229 loss: 0.0146 recall@thr=0.5: 0.8657 prec@thr=0.5: 0.9444 recall@top3: 0.8796 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0146 2022/12/05 12:08:21 - mmengine - INFO - Epoch(train) [10][3520/4451] lr: 1.6894e-04 eta: 0:07:42 time: 0.4979 data_time: 0.0116 memory: 16785 grad_norm: 0.1186 loss: 0.0137 recall@thr=0.5: 0.8587 prec@thr=0.5: 0.9022 recall@top3: 0.9022 prec@top3: 0.7971 recall@top5: 1.0000 prec@top5: 0.5391 loss_action_cls: 0.0137 2022/12/05 12:08:31 - mmengine - INFO - Epoch(train) [10][3540/4451] lr: 1.6177e-04 eta: 0:07:32 time: 0.4979 data_time: 0.0115 memory: 16785 grad_norm: 0.1200 loss: 0.0148 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9010 recall@top3: 0.9167 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0148 2022/12/05 12:08:41 - mmengine - INFO - Epoch(train) [10][3560/4451] lr: 1.5476e-04 eta: 0:07:22 time: 0.4973 data_time: 0.0116 memory: 16785 grad_norm: 0.1217 loss: 0.0146 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.6439 recall@top3: 0.8788 prec@top3: 0.6667 recall@top5: 0.9773 prec@top5: 0.4545 loss_action_cls: 0.0146 2022/12/05 12:08:51 - mmengine - INFO - Epoch(train) [10][3580/4451] lr: 1.4790e-04 eta: 0:07:12 time: 0.4969 data_time: 0.0113 memory: 16785 grad_norm: 0.1200 loss: 0.0150 recall@thr=0.5: 0.6285 prec@thr=0.5: 0.7361 recall@top3: 0.7812 prec@top3: 0.6389 recall@top5: 0.8681 prec@top5: 0.4417 loss_action_cls: 0.0150 2022/12/05 12:09:01 - mmengine - INFO - Epoch(train) [10][3600/4451] lr: 1.4119e-04 eta: 0:07:02 time: 0.4981 data_time: 0.0112 memory: 16785 grad_norm: 0.1255 loss: 0.0167 recall@thr=0.5: 0.8671 prec@thr=0.5: 0.8874 recall@top3: 0.8761 prec@top3: 0.7748 recall@top5: 0.9820 prec@top5: 0.5351 loss_action_cls: 0.0167 2022/12/05 12:09:11 - mmengine - INFO - Epoch(train) [10][3620/4451] lr: 1.3465e-04 eta: 0:06:52 time: 0.4977 data_time: 0.0111 memory: 16785 grad_norm: 0.1215 loss: 0.0156 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.6979 recall@top3: 0.8083 prec@top3: 0.6250 recall@top5: 0.9115 prec@top5: 0.4500 loss_action_cls: 0.0156 2022/12/05 12:09:21 - mmengine - INFO - Epoch(train) [10][3640/4451] lr: 1.2825e-04 eta: 0:06:42 time: 0.4971 data_time: 0.0114 memory: 16785 grad_norm: 0.1212 loss: 0.0149 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8574 recall@top3: 0.8333 prec@top3: 0.8148 recall@top5: 0.9074 prec@top5: 0.5444 loss_action_cls: 0.0149 2022/12/05 12:09:31 - mmengine - INFO - Epoch(train) [10][3660/4451] lr: 1.2202e-04 eta: 0:06:32 time: 0.4972 data_time: 0.0113 memory: 16785 grad_norm: 0.1197 loss: 0.0156 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.7444 recall@top3: 0.8222 prec@top3: 0.5111 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0156 2022/12/05 12:09:41 - mmengine - INFO - Epoch(train) [10][3680/4451] lr: 1.1593e-04 eta: 0:06:22 time: 0.4973 data_time: 0.0113 memory: 16785 grad_norm: 0.1219 loss: 0.0174 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7917 recall@top3: 0.8854 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0174 2022/12/05 12:09:51 - mmengine - INFO - Epoch(train) [10][3700/4451] lr: 1.1001e-04 eta: 0:06:12 time: 0.4983 data_time: 0.0116 memory: 16785 grad_norm: 0.1222 loss: 0.0143 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.5652 recall@top3: 0.7935 prec@top3: 0.4348 recall@top5: 0.9348 prec@top5: 0.3130 loss_action_cls: 0.0143 2022/12/05 12:10:01 - mmengine - INFO - Epoch(train) [10][3720/4451] lr: 1.0424e-04 eta: 0:06:02 time: 0.4974 data_time: 0.0113 memory: 16785 grad_norm: 0.1211 loss: 0.0149 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7986 recall@top3: 0.8229 prec@top3: 0.7778 recall@top5: 0.9583 prec@top5: 0.5667 loss_action_cls: 0.0149 2022/12/05 12:10:11 - mmengine - INFO - Epoch(train) [10][3740/4451] lr: 9.8619e-05 eta: 0:05:52 time: 0.4972 data_time: 0.0108 memory: 16785 grad_norm: 0.1187 loss: 0.0154 recall@thr=0.5: 0.6213 prec@thr=0.5: 0.7200 recall@top3: 0.8107 prec@top3: 0.5067 recall@top5: 0.9240 prec@top5: 0.3520 loss_action_cls: 0.0154 2022/12/05 12:10:21 - mmengine - INFO - Epoch(train) [10][3760/4451] lr: 9.3158e-05 eta: 0:05:42 time: 0.4976 data_time: 0.0115 memory: 16785 grad_norm: 0.1221 loss: 0.0152 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.9804 recall@top3: 0.9216 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0152 2022/12/05 12:10:31 - mmengine - INFO - Epoch(train) [10][3780/4451] lr: 8.7853e-05 eta: 0:05:33 time: 0.4971 data_time: 0.0109 memory: 16785 grad_norm: 0.1187 loss: 0.0143 recall@thr=0.5: 0.6792 prec@thr=0.5: 0.8083 recall@top3: 0.8250 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0143 2022/12/05 12:10:41 - mmengine - INFO - Epoch(train) [10][3800/4451] lr: 8.2703e-05 eta: 0:05:23 time: 0.4973 data_time: 0.0117 memory: 16785 grad_norm: 0.1217 loss: 0.0147 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8824 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0147 2022/12/05 12:10:51 - mmengine - INFO - Epoch(train) [10][3820/4451] lr: 7.7708e-05 eta: 0:05:13 time: 0.4980 data_time: 0.0116 memory: 16785 grad_norm: 0.1182 loss: 0.0174 recall@thr=0.5: 0.7686 prec@thr=0.5: 0.9069 recall@top3: 0.8539 prec@top3: 0.7255 recall@top5: 0.9471 prec@top5: 0.4824 loss_action_cls: 0.0174 2022/12/05 12:11:01 - mmengine - INFO - Epoch(train) [10][3840/4451] lr: 7.2869e-05 eta: 0:05:03 time: 0.4978 data_time: 0.0116 memory: 16785 grad_norm: 0.1250 loss: 0.0162 recall@thr=0.5: 0.8406 prec@thr=0.5: 0.8297 recall@top3: 0.8551 prec@top3: 0.7101 recall@top5: 0.9348 prec@top5: 0.4696 loss_action_cls: 0.0162 2022/12/05 12:11:11 - mmengine - INFO - Epoch(train) [10][3860/4451] lr: 6.8185e-05 eta: 0:04:53 time: 0.4972 data_time: 0.0115 memory: 16785 grad_norm: 0.1192 loss: 0.0155 recall@thr=0.5: 0.8304 prec@thr=0.5: 0.8810 recall@top3: 0.8423 prec@top3: 0.7381 recall@top5: 0.9137 prec@top5: 0.4929 loss_action_cls: 0.0155 2022/12/05 12:11:21 - mmengine - INFO - Epoch(train) [10][3880/4451] lr: 6.3657e-05 eta: 0:04:43 time: 0.4974 data_time: 0.0115 memory: 16785 grad_norm: 0.1258 loss: 0.0154 recall@thr=0.5: 0.7679 prec@thr=0.5: 0.8512 recall@top3: 0.8393 prec@top3: 0.8095 recall@top5: 0.9286 prec@top5: 0.5571 loss_action_cls: 0.0154 2022/12/05 12:11:31 - mmengine - INFO - Epoch(train) [10][3900/4451] lr: 5.9284e-05 eta: 0:04:33 time: 0.4977 data_time: 0.0109 memory: 16785 grad_norm: 0.1240 loss: 0.0144 recall@thr=0.5: 0.8913 prec@thr=0.5: 0.9275 recall@top3: 0.9565 prec@top3: 0.6377 recall@top5: 0.9855 prec@top5: 0.4000 loss_action_cls: 0.0144 2022/12/05 12:11:41 - mmengine - INFO - Epoch(train) [10][3920/4451] lr: 5.5067e-05 eta: 0:04:23 time: 0.4980 data_time: 0.0112 memory: 16785 grad_norm: 0.1190 loss: 0.0153 recall@thr=0.5: 0.7478 prec@thr=0.5: 0.8465 recall@top3: 0.8123 prec@top3: 0.7719 recall@top5: 0.9535 prec@top5: 0.5632 loss_action_cls: 0.0153 2022/12/05 12:11:51 - mmengine - INFO - Epoch(train) [10][3940/4451] lr: 5.1005e-05 eta: 0:04:13 time: 0.4969 data_time: 0.0112 memory: 16785 grad_norm: 0.1172 loss: 0.0145 recall@thr=0.5: 0.9094 prec@thr=0.5: 0.8732 recall@top3: 0.9203 prec@top3: 0.8406 recall@top5: 1.0000 prec@top5: 0.5565 loss_action_cls: 0.0145 2022/12/05 12:11:51 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 12:12:00 - mmengine - INFO - Epoch(train) [10][3960/4451] lr: 4.7098e-05 eta: 0:04:03 time: 0.4972 data_time: 0.0114 memory: 16785 grad_norm: 0.1217 loss: 0.0171 recall@thr=0.5: 0.8933 prec@thr=0.5: 0.9583 recall@top3: 0.8558 prec@top3: 0.8000 recall@top5: 0.9550 prec@top5: 0.5600 loss_action_cls: 0.0171 2022/12/05 12:12:10 - mmengine - INFO - Epoch(train) [10][3980/4451] lr: 4.3348e-05 eta: 0:03:53 time: 0.4975 data_time: 0.0113 memory: 16785 grad_norm: 0.1211 loss: 0.0168 recall@thr=0.5: 0.8117 prec@thr=0.5: 0.8667 recall@top3: 0.8517 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5800 loss_action_cls: 0.0168 2022/12/05 12:12:20 - mmengine - INFO - Epoch(train) [10][4000/4451] lr: 3.9752e-05 eta: 0:03:43 time: 0.4979 data_time: 0.0116 memory: 16785 grad_norm: 0.1227 loss: 0.0160 recall@thr=0.5: 0.9048 prec@thr=0.5: 0.9286 recall@top3: 0.9246 prec@top3: 0.7937 recall@top5: 0.9683 prec@top5: 0.5048 loss_action_cls: 0.0160 2022/12/05 12:12:30 - mmengine - INFO - Epoch(train) [10][4020/4451] lr: 3.6313e-05 eta: 0:03:33 time: 0.4974 data_time: 0.0114 memory: 16785 grad_norm: 0.1214 loss: 0.0161 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7281 recall@top3: 0.8158 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0161 2022/12/05 12:12:40 - mmengine - INFO - Epoch(train) [10][4040/4451] lr: 3.3029e-05 eta: 0:03:24 time: 0.4975 data_time: 0.0114 memory: 16785 grad_norm: 0.1234 loss: 0.0174 recall@thr=0.5: 0.5217 prec@thr=0.5: 0.5725 recall@top3: 0.7246 prec@top3: 0.4783 recall@top5: 0.9420 prec@top5: 0.4087 loss_action_cls: 0.0174 2022/12/05 12:12:50 - mmengine - INFO - Epoch(train) [10][4060/4451] lr: 2.9900e-05 eta: 0:03:14 time: 0.4968 data_time: 0.0116 memory: 16785 grad_norm: 0.1216 loss: 0.0152 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7611 recall@top3: 0.9278 prec@top3: 0.5889 recall@top5: 0.9889 prec@top5: 0.3800 loss_action_cls: 0.0152 2022/12/05 12:13:00 - mmengine - INFO - Epoch(train) [10][4080/4451] lr: 2.6927e-05 eta: 0:03:04 time: 0.4975 data_time: 0.0116 memory: 16785 grad_norm: 0.1232 loss: 0.0157 recall@thr=0.5: 0.9342 prec@thr=0.5: 0.9561 recall@top3: 0.9123 prec@top3: 0.8070 recall@top5: 0.9825 prec@top5: 0.5368 loss_action_cls: 0.0157 2022/12/05 12:13:10 - mmengine - INFO - Epoch(train) [10][4100/4451] lr: 2.4110e-05 eta: 0:02:54 time: 0.4973 data_time: 0.0117 memory: 16785 grad_norm: 0.1240 loss: 0.0126 recall@thr=0.5: 0.8864 prec@thr=0.5: 0.7621 recall@top3: 0.8295 prec@top3: 0.6515 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0126 2022/12/05 12:13:20 - mmengine - INFO - Epoch(train) [10][4120/4451] lr: 2.1448e-05 eta: 0:02:44 time: 0.4986 data_time: 0.0118 memory: 16785 grad_norm: 0.1213 loss: 0.0145 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6222 recall@top3: 0.9167 prec@top3: 0.7111 recall@top5: 0.9389 prec@top5: 0.4400 loss_action_cls: 0.0145 2022/12/05 12:13:30 - mmengine - INFO - Epoch(train) [10][4140/4451] lr: 1.8942e-05 eta: 0:02:34 time: 0.4976 data_time: 0.0111 memory: 16785 grad_norm: 0.1177 loss: 0.0168 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8235 recall@top3: 0.8529 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0168 2022/12/05 12:13:40 - mmengine - INFO - Epoch(train) [10][4160/4451] lr: 1.6592e-05 eta: 0:02:24 time: 0.4971 data_time: 0.0114 memory: 16785 grad_norm: 0.1241 loss: 0.0156 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.8509 recall@top3: 0.8167 prec@top3: 0.7018 recall@top5: 0.9474 prec@top5: 0.5053 loss_action_cls: 0.0156 2022/12/05 12:13:50 - mmengine - INFO - Epoch(train) [10][4180/4451] lr: 1.4397e-05 eta: 0:02:14 time: 0.4982 data_time: 0.0116 memory: 16785 grad_norm: 0.1207 loss: 0.0126 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.7937 recall@top3: 0.8135 prec@top3: 0.5873 recall@top5: 0.9524 prec@top5: 0.4190 loss_action_cls: 0.0126 2022/12/05 12:14:00 - mmengine - INFO - Epoch(train) [10][4200/4451] lr: 1.2357e-05 eta: 0:02:04 time: 0.4978 data_time: 0.0113 memory: 16785 grad_norm: 0.1213 loss: 0.0166 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9048 recall@top3: 0.9206 prec@top3: 0.6667 recall@top5: 0.9841 prec@top5: 0.4381 loss_action_cls: 0.0166 2022/12/05 12:14:10 - mmengine - INFO - Epoch(train) [10][4220/4451] lr: 1.0474e-05 eta: 0:01:54 time: 0.4982 data_time: 0.0119 memory: 16785 grad_norm: 0.1217 loss: 0.0151 recall@thr=0.5: 0.8814 prec@thr=0.5: 0.8558 recall@top3: 0.8686 prec@top3: 0.7564 recall@top5: 0.9455 prec@top5: 0.5000 loss_action_cls: 0.0151 2022/12/05 12:14:20 - mmengine - INFO - Epoch(train) [10][4240/4451] lr: 8.7459e-06 eta: 0:01:44 time: 0.4990 data_time: 0.0123 memory: 16785 grad_norm: 0.1245 loss: 0.0147 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9074 recall@top3: 0.8333 prec@top3: 0.6481 recall@top5: 0.9306 prec@top5: 0.4556 loss_action_cls: 0.0147 2022/12/05 12:14:30 - mmengine - INFO - Epoch(train) [10][4260/4451] lr: 7.1736e-06 eta: 0:01:34 time: 0.4977 data_time: 0.0109 memory: 16785 grad_norm: 0.1200 loss: 0.0156 recall@thr=0.5: 0.6301 prec@thr=0.5: 0.7308 recall@top3: 0.9141 prec@top3: 0.6282 recall@top5: 1.0000 prec@top5: 0.4231 loss_action_cls: 0.0156 2022/12/05 12:14:40 - mmengine - INFO - Epoch(train) [10][4280/4451] lr: 5.7570e-06 eta: 0:01:24 time: 0.4981 data_time: 0.0118 memory: 16785 grad_norm: 0.1194 loss: 0.0169 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6667 recall@top3: 0.7681 prec@top3: 0.4058 recall@top5: 0.9130 prec@top5: 0.3130 loss_action_cls: 0.0169 2022/12/05 12:14:50 - mmengine - INFO - Epoch(train) [10][4300/4451] lr: 4.4960e-06 eta: 0:01:14 time: 0.4971 data_time: 0.0115 memory: 16785 grad_norm: 0.1242 loss: 0.0154 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9298 recall@top3: 0.8482 prec@top3: 0.8596 recall@top5: 0.9789 prec@top5: 0.6105 loss_action_cls: 0.0154 2022/12/05 12:15:00 - mmengine - INFO - Epoch(train) [10][4320/4451] lr: 3.3907e-06 eta: 0:01:05 time: 0.4974 data_time: 0.0111 memory: 16785 grad_norm: 0.1238 loss: 0.0166 recall@thr=0.5: 0.7474 prec@thr=0.5: 0.8728 recall@top3: 0.7789 prec@top3: 0.8246 recall@top5: 0.9561 prec@top5: 0.6316 loss_action_cls: 0.0166 2022/12/05 12:15:10 - mmengine - INFO - Epoch(train) [10][4340/4451] lr: 2.4411e-06 eta: 0:00:55 time: 0.4969 data_time: 0.0116 memory: 16785 grad_norm: 0.1207 loss: 0.0151 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.7391 recall@top3: 0.9420 prec@top3: 0.6232 recall@top5: 0.9638 prec@top5: 0.3913 loss_action_cls: 0.0151 2022/12/05 12:15:20 - mmengine - INFO - Epoch(train) [10][4360/4451] lr: 1.6471e-06 eta: 0:00:45 time: 0.4965 data_time: 0.0113 memory: 16785 grad_norm: 0.1245 loss: 0.0148 recall@thr=0.5: 0.6268 prec@thr=0.5: 0.8696 recall@top3: 0.9022 prec@top3: 0.6377 recall@top5: 0.9891 prec@top5: 0.4261 loss_action_cls: 0.0148 2022/12/05 12:15:30 - mmengine - INFO - Epoch(train) [10][4380/4451] lr: 1.0088e-06 eta: 0:00:35 time: 0.4980 data_time: 0.0112 memory: 16785 grad_norm: 0.1187 loss: 0.0153 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8775 recall@top3: 0.9216 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0153 2022/12/05 12:15:39 - mmengine - INFO - Epoch(train) [10][4400/4451] lr: 5.2620e-07 eta: 0:00:25 time: 0.4974 data_time: 0.0116 memory: 16785 grad_norm: 0.1194 loss: 0.0146 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.7391 recall@top3: 0.8007 prec@top3: 0.6087 recall@top5: 0.9312 prec@top5: 0.4522 loss_action_cls: 0.0146 2022/12/05 12:15:49 - mmengine - INFO - Epoch(train) [10][4420/4451] lr: 1.9927e-07 eta: 0:00:15 time: 0.4982 data_time: 0.0112 memory: 16785 grad_norm: 0.1208 loss: 0.0153 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.9231 recall@top3: 0.8718 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.4154 loss_action_cls: 0.0153 2022/12/05 12:15:59 - mmengine - INFO - Epoch(train) [10][4440/4451] lr: 2.8023e-08 eta: 0:00:05 time: 0.4976 data_time: 0.0117 memory: 16785 grad_norm: 0.1237 loss: 0.0159 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7692 recall@top3: 0.7532 prec@top3: 0.5897 recall@top5: 0.9615 prec@top5: 0.4692 loss_action_cls: 0.0159 2022/12/05 12:16:05 - mmengine - INFO - Exp name: bags_20221205_043030 2022/12/05 12:16:05 - mmengine - INFO - Epoch(train) [10][4451/4451] lr: 1.9460e-10 eta: 0:00:00 time: 0.4931 data_time: 0.0119 memory: 16785 grad_norm: 0.1243 loss: 0.0151 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.6771 recall@top3: 0.7552 prec@top3: 0.5208 recall@top5: 0.9219 prec@top5: 0.4125 loss_action_cls: 0.0151 2022/12/05 12:16:05 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/12/05 12:16:09 - mmengine - INFO - Epoch(val) [10][ 20/6282] eta: 0:04:30 time: 0.0432 data_time: 0.0057 memory: 1088 2022/12/05 12:16:10 - mmengine - INFO - Epoch(val) [10][ 40/6282] eta: 0:04:15 time: 0.0385 data_time: 0.0021 memory: 1088 2022/12/05 12:16:11 - mmengine - INFO - Epoch(val) [10][ 60/6282] eta: 0:04:09 time: 0.0386 data_time: 0.0020 memory: 1088 2022/12/05 12:16:12 - mmengine - INFO - Epoch(val) [10][ 80/6282] eta: 0:04:06 time: 0.0389 data_time: 0.0021 memory: 1088 2022/12/05 12:16:12 - mmengine - INFO - Epoch(val) [10][ 100/6282] eta: 0:04:04 time: 0.0383 data_time: 0.0020 memory: 1088 2022/12/05 12:16:13 - mmengine - INFO - Epoch(val) [10][ 120/6282] eta: 0:04:12 time: 0.0486 data_time: 0.0022 memory: 1231 2022/12/05 12:16:14 - mmengine - INFO - Epoch(val) [10][ 140/6282] eta: 0:04:23 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 12:16:16 - mmengine - INFO - Epoch(val) [10][ 160/6282] eta: 0:04:31 time: 0.0545 data_time: 0.0025 memory: 1231 2022/12/05 12:16:17 - mmengine - INFO - Epoch(val) [10][ 180/6282] eta: 0:04:37 time: 0.0542 data_time: 0.0023 memory: 1231 2022/12/05 12:16:18 - mmengine - INFO - Epoch(val) [10][ 200/6282] eta: 0:04:41 time: 0.0534 data_time: 0.0023 memory: 1231 2022/12/05 12:16:19 - mmengine - INFO - Epoch(val) 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[10][5820/6282] eta: 0:00:23 time: 0.0470 data_time: 0.0023 memory: 1181 2022/12/05 12:21:03 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:22 time: 0.0449 data_time: 0.0019 memory: 1155 2022/12/05 12:21:04 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:21 time: 0.0452 data_time: 0.0021 memory: 1155 2022/12/05 12:21:05 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:20 time: 0.0450 data_time: 0.0020 memory: 1155 2022/12/05 12:21:06 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:19 time: 0.0450 data_time: 0.0021 memory: 1155 2022/12/05 12:21:06 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:18 time: 0.0432 data_time: 0.0020 memory: 1155 2022/12/05 12:21:07 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:17 time: 0.0420 data_time: 0.0020 memory: 1113 2022/12/05 12:21:08 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:16 time: 0.0420 data_time: 0.0019 memory: 1113 2022/12/05 12:21:09 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:15 time: 0.0419 data_time: 0.0019 memory: 1113 2022/12/05 12:21:10 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:14 time: 0.0510 data_time: 0.0022 memory: 1231 2022/12/05 12:21:11 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:13 time: 0.0539 data_time: 0.0023 memory: 1231 2022/12/05 12:21:12 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:12 time: 0.0541 data_time: 0.0023 memory: 1231 2022/12/05 12:21:13 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:11 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 12:21:14 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:10 time: 0.0545 data_time: 0.0024 memory: 1231 2022/12/05 12:21:15 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:09 time: 0.0544 data_time: 0.0024 memory: 1231 2022/12/05 12:21:17 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:08 time: 0.0543 data_time: 0.0023 memory: 1231 2022/12/05 12:21:18 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:07 time: 0.0546 data_time: 0.0024 memory: 1231 2022/12/05 12:21:19 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:06 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 12:21:20 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:05 time: 0.0543 data_time: 0.0024 memory: 1231 2022/12/05 12:21:21 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:04 time: 0.0539 data_time: 0.0022 memory: 1231 2022/12/05 12:21:22 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:03 time: 0.0540 data_time: 0.0023 memory: 1231 2022/12/05 12:21:23 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:02 time: 0.0540 data_time: 0.0022 memory: 1231 2022/12/05 12:21:24 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:01 time: 0.0541 data_time: 0.0022 memory: 1231 2022/12/05 12:21:25 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0530 data_time: 0.0018 memory: 1231 2022/12/05 12:26:47 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.3129 2022/12/05 12:26:47 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/bags/best_mAP/mAP@0.5IOU_epoch_9.pth is removed 2022/12/05 12:26:50 - mmengine - INFO - The best checkpoint with 0.3129 mAP/mAP@0.5IOU at 10 epoch is saved to best_mAP/mAP@0.5IOU_epoch_10.pth.