2022/12/03 08:43:27 - 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: 786632883 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: AVX2 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -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: slurm Distributed training: True GPU number: 8 ------------------------------------------------------------ 2022/12/03 08:43:28 - 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_8xb16-8x8x1-steplr-150e_kinetics400-rgb/slowonly_imagenet-pretrained-r50_8xb16-8x8x1-steplr-150e_kinetics400-rgb_20220901-df42dc84.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_8xb16-8x8x1-steplr-150e_kinetics400-rgb/slowonly_imagenet-pretrained-r50_8xb16-8x8x1-steplr-150e_kinetics400-rgb_20220901-df42dc84.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), bbox_head=dict( type='BBoxHeadAVA', in_channels=2048, num_classes=81, multilabel=True, dropout_ratio=0.5)), 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=8, frame_interval=8), 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=8, frame_interval=8, 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=8, frame_interval=8), 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=8, frame_interval=8, 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=8, frame_interval=8, 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 = 'slurm' work_dir = './work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb' randomness = dict(seed=None, diff_rank_seed=False, deterministic=False) 2022/12/03 08:43:28 - mmengine - INFO - Result has been saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/modules_statistic_results.json 2022/12/03 08:43:31 - 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 -------------------- 2022/12/03 08:44:10 - mmengine - INFO - 284842 out of 284842 frames are valid. 2022/12/03 08:44:27 - mmengine - INFO - 50252 out of 50252 frames are valid. 2022/12/03 08:44:31 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb. 2022/12/03 08:44:42 - mmengine - INFO - Epoch(train) [1][ 20/4451] lr: 1.0192e-02 eta: 6:56:40 time: 0.5619 data_time: 0.2179 memory: 8510 grad_norm: 0.9532 loss: 0.2274 recall@thr=0.5: 0.1400 prec@thr=0.5: 0.1917 recall@top3: 0.4983 prec@top3: 0.4500 recall@top5: 0.7633 prec@top5: 0.4300 loss_action_cls: 0.2274 2022/12/03 08:44:49 - mmengine - INFO - Epoch(train) [1][ 40/4451] lr: 1.0394e-02 eta: 5:32:02 time: 0.3340 data_time: 0.0123 memory: 8510 grad_norm: 0.2715 loss: 0.1333 recall@thr=0.5: 0.2365 prec@thr=0.5: 0.4392 recall@top3: 0.5521 prec@top3: 0.4167 recall@top5: 0.6344 prec@top5: 0.3125 loss_action_cls: 0.1333 2022/12/03 08:44:56 - mmengine - INFO - Epoch(train) [1][ 60/4451] lr: 1.0597e-02 eta: 5:03:52 time: 0.3346 data_time: 0.0146 memory: 8510 grad_norm: 0.2320 loss: 0.1398 recall@thr=0.5: 0.3229 prec@thr=0.5: 0.3646 recall@top3: 0.6042 prec@top3: 0.4375 recall@top5: 0.8125 prec@top5: 0.3625 loss_action_cls: 0.1398 2022/12/03 08:45:03 - mmengine - INFO - Epoch(train) [1][ 80/4451] lr: 1.0799e-02 eta: 4:49:21 time: 0.3325 data_time: 0.0154 memory: 8510 grad_norm: 0.2229 loss: 0.1195 recall@thr=0.5: 0.1823 prec@thr=0.5: 0.3456 recall@top3: 0.3438 prec@top3: 0.3125 recall@top5: 0.6458 prec@top5: 0.3375 loss_action_cls: 0.1195 2022/12/03 08:45:09 - mmengine - INFO - Epoch(train) [1][ 100/4451] lr: 1.1001e-02 eta: 4:40:46 time: 0.3336 data_time: 0.0153 memory: 8510 grad_norm: 0.2144 loss: 0.1323 recall@thr=0.5: 0.1326 prec@thr=0.5: 0.2727 recall@top3: 0.4735 prec@top3: 0.3788 recall@top5: 0.6591 prec@top5: 0.3091 loss_action_cls: 0.1323 2022/12/03 08:45:16 - mmengine - INFO - Epoch(train) [1][ 120/4451] lr: 1.1203e-02 eta: 4:34:52 time: 0.3326 data_time: 0.0136 memory: 8510 grad_norm: 0.2160 loss: 0.1187 recall@thr=0.5: 0.4744 prec@thr=0.5: 0.5833 recall@top3: 0.6282 prec@top3: 0.5128 recall@top5: 0.7628 prec@top5: 0.3923 loss_action_cls: 0.1187 2022/12/03 08:45:22 - mmengine - INFO - Epoch(train) [1][ 140/4451] lr: 1.1405e-02 eta: 4:30:23 time: 0.3303 data_time: 0.0128 memory: 8510 grad_norm: 0.2159 loss: 0.1329 recall@thr=0.5: 0.2540 prec@thr=0.5: 0.3333 recall@top3: 0.5635 prec@top3: 0.3968 recall@top5: 0.6905 prec@top5: 0.3143 loss_action_cls: 0.1329 2022/12/03 08:45:29 - mmengine - INFO - Epoch(train) [1][ 160/4451] lr: 1.1608e-02 eta: 4:27:26 time: 0.3349 data_time: 0.0156 memory: 8510 grad_norm: 0.1871 loss: 0.1110 recall@thr=0.5: 0.3778 prec@thr=0.5: 0.3829 recall@top3: 0.4889 prec@top3: 0.4222 recall@top5: 0.5667 prec@top5: 0.2933 loss_action_cls: 0.1110 2022/12/03 08:45:36 - mmengine - INFO - Epoch(train) [1][ 180/4451] lr: 1.1810e-02 eta: 4:24:51 time: 0.3318 data_time: 0.0151 memory: 8510 grad_norm: 0.2123 loss: 0.1129 recall@thr=0.5: 0.3297 prec@thr=0.5: 0.6957 recall@top3: 0.4565 prec@top3: 0.4928 recall@top5: 0.7754 prec@top5: 0.4696 loss_action_cls: 0.1129 2022/12/03 08:45:42 - mmengine - INFO - Epoch(train) [1][ 200/4451] lr: 1.2012e-02 eta: 4:22:55 time: 0.3341 data_time: 0.0155 memory: 8510 grad_norm: 0.1976 loss: 0.1295 recall@thr=0.5: 0.3373 prec@thr=0.5: 0.4524 recall@top3: 0.6071 prec@top3: 0.5397 recall@top5: 0.8651 prec@top5: 0.4667 loss_action_cls: 0.1295 2022/12/03 08:45:49 - mmengine - INFO - Epoch(train) [1][ 220/4451] lr: 1.2214e-02 eta: 4:21:17 time: 0.3334 data_time: 0.0130 memory: 8510 grad_norm: 0.2036 loss: 0.1086 recall@thr=0.5: 0.1984 prec@thr=0.5: 0.2008 recall@top3: 0.4683 prec@top3: 0.3492 recall@top5: 0.6032 prec@top5: 0.2762 loss_action_cls: 0.1086 2022/12/03 08:45:56 - mmengine - INFO - Epoch(train) [1][ 240/4451] lr: 1.2417e-02 eta: 4:19:58 time: 0.3343 data_time: 0.0158 memory: 8510 grad_norm: 0.2027 loss: 0.1322 recall@thr=0.5: 0.2472 prec@thr=0.5: 0.3333 recall@top3: 0.6222 prec@top3: 0.4444 recall@top5: 0.7028 prec@top5: 0.3200 loss_action_cls: 0.1322 2022/12/03 08:46:03 - mmengine - INFO - Epoch(train) [1][ 260/4451] lr: 1.2619e-02 eta: 4:18:51 time: 0.3348 data_time: 0.0166 memory: 8510 grad_norm: 0.2196 loss: 0.1080 recall@thr=0.5: 0.3083 prec@thr=0.5: 0.4083 recall@top3: 0.5750 prec@top3: 0.4500 recall@top5: 0.6250 prec@top5: 0.3000 loss_action_cls: 0.1080 2022/12/03 08:46:09 - mmengine - INFO - Epoch(train) [1][ 280/4451] lr: 1.2821e-02 eta: 4:17:42 time: 0.3314 data_time: 0.0160 memory: 8510 grad_norm: 0.1839 loss: 0.0993 recall@thr=0.5: 0.4097 prec@thr=0.5: 0.6736 recall@top3: 0.7326 prec@top3: 0.5972 recall@top5: 0.8542 prec@top5: 0.4417 loss_action_cls: 0.0993 2022/12/03 08:46:16 - mmengine - INFO - Epoch(train) [1][ 300/4451] lr: 1.3023e-02 eta: 4:16:55 time: 0.3360 data_time: 0.0135 memory: 8510 grad_norm: 0.1983 loss: 0.0958 recall@thr=0.5: 0.3404 prec@thr=0.5: 0.5526 recall@top3: 0.5807 prec@top3: 0.4386 recall@top5: 0.7070 prec@top5: 0.3263 loss_action_cls: 0.0958 2022/12/03 08:46:22 - mmengine - INFO - Epoch(train) [1][ 320/4451] lr: 1.3225e-02 eta: 4:16:01 time: 0.3316 data_time: 0.0107 memory: 8510 grad_norm: 0.2097 loss: 0.1132 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.6909 recall@top3: 0.6515 prec@top3: 0.4697 recall@top5: 0.8182 prec@top5: 0.3727 loss_action_cls: 0.1132 2022/12/03 08:46:29 - mmengine - INFO - Epoch(train) [1][ 340/4451] lr: 1.3428e-02 eta: 4:15:23 time: 0.3356 data_time: 0.0134 memory: 8510 grad_norm: 0.1974 loss: 0.1063 recall@thr=0.5: 0.1833 prec@thr=0.5: 0.2333 recall@top3: 0.4917 prec@top3: 0.3167 recall@top5: 0.6750 prec@top5: 0.2700 loss_action_cls: 0.1063 2022/12/03 08:46:36 - mmengine - INFO - Epoch(train) [1][ 360/4451] lr: 1.3630e-02 eta: 4:14:44 time: 0.3339 data_time: 0.0109 memory: 8510 grad_norm: 0.2069 loss: 0.1004 recall@thr=0.5: 0.2564 prec@thr=0.5: 0.1923 recall@top3: 0.6603 prec@top3: 0.4359 recall@top5: 0.7821 prec@top5: 0.3231 loss_action_cls: 0.1004 2022/12/03 08:46:43 - mmengine - INFO - Epoch(train) [1][ 380/4451] lr: 1.3832e-02 eta: 4:14:08 time: 0.3339 data_time: 0.0117 memory: 8510 grad_norm: 0.2101 loss: 0.1121 recall@thr=0.5: 0.2951 prec@thr=0.5: 0.3854 recall@top3: 0.5938 prec@top3: 0.4583 recall@top5: 0.7083 prec@top5: 0.3250 loss_action_cls: 0.1121 2022/12/03 08:46:49 - mmengine - INFO - Epoch(train) [1][ 400/4451] lr: 1.4034e-02 eta: 4:13:34 time: 0.3332 data_time: 0.0134 memory: 8510 grad_norm: 0.2137 loss: 0.1065 recall@thr=0.5: 0.4255 prec@thr=0.5: 0.5686 recall@top3: 0.6608 prec@top3: 0.5490 recall@top5: 0.7431 prec@top5: 0.3882 loss_action_cls: 0.1065 2022/12/03 08:46:56 - mmengine - INFO - Epoch(train) [1][ 420/4451] lr: 1.4237e-02 eta: 4:13:04 time: 0.3338 data_time: 0.0159 memory: 8510 grad_norm: 0.1969 loss: 0.1230 recall@thr=0.5: 0.2891 prec@thr=0.5: 0.5362 recall@top3: 0.4464 prec@top3: 0.4493 recall@top5: 0.6217 prec@top5: 0.3826 loss_action_cls: 0.1230 2022/12/03 08:47:03 - mmengine - INFO - Epoch(train) [1][ 440/4451] lr: 1.4439e-02 eta: 4:12:33 time: 0.3321 data_time: 0.0119 memory: 8510 grad_norm: 0.1892 loss: 0.1068 recall@thr=0.5: 0.3068 prec@thr=0.5: 0.5530 recall@top3: 0.5833 prec@top3: 0.5606 recall@top5: 0.7500 prec@top5: 0.4273 loss_action_cls: 0.1068 2022/12/03 08:47:09 - mmengine - INFO - Epoch(train) [1][ 460/4451] lr: 1.4641e-02 eta: 4:12:11 time: 0.3359 data_time: 0.0128 memory: 8510 grad_norm: 0.2119 loss: 0.1170 recall@thr=0.5: 0.2917 prec@thr=0.5: 0.3939 recall@top3: 0.5152 prec@top3: 0.4545 recall@top5: 0.6667 prec@top5: 0.3545 loss_action_cls: 0.1170 2022/12/03 08:47:16 - mmengine - INFO - Epoch(train) [1][ 480/4451] lr: 1.4843e-02 eta: 4:11:40 time: 0.3305 data_time: 0.0136 memory: 8510 grad_norm: 0.1950 loss: 0.1094 recall@thr=0.5: 0.2955 prec@thr=0.5: 0.4015 recall@top3: 0.4470 prec@top3: 0.3636 recall@top5: 0.6667 prec@top5: 0.3273 loss_action_cls: 0.1094 2022/12/03 08:47:23 - mmengine - INFO - Epoch(train) [1][ 500/4451] lr: 1.5046e-02 eta: 4:11:17 time: 0.3338 data_time: 0.0123 memory: 8510 grad_norm: 0.2101 loss: 0.0966 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.5965 recall@top3: 0.6667 prec@top3: 0.5965 recall@top5: 0.8860 prec@top5: 0.4632 loss_action_cls: 0.0966 2022/12/03 08:47:29 - mmengine - INFO - Epoch(train) [1][ 520/4451] lr: 1.5248e-02 eta: 4:10:55 time: 0.3338 data_time: 0.0110 memory: 8510 grad_norm: 0.2077 loss: 0.1159 recall@thr=0.5: 0.2576 prec@thr=0.5: 0.3182 recall@top3: 0.5530 prec@top3: 0.4545 recall@top5: 0.6515 prec@top5: 0.3364 loss_action_cls: 0.1159 2022/12/03 08:47:36 - mmengine - INFO - Epoch(train) [1][ 540/4451] lr: 1.5450e-02 eta: 4:10:34 time: 0.3333 data_time: 0.0128 memory: 8510 grad_norm: 0.1909 loss: 0.0998 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.3971 recall@top3: 0.5686 prec@top3: 0.4902 recall@top5: 0.7549 prec@top5: 0.3882 loss_action_cls: 0.0998 2022/12/03 08:47:43 - mmengine - INFO - Epoch(train) [1][ 560/4451] lr: 1.5652e-02 eta: 4:10:12 time: 0.3325 data_time: 0.0112 memory: 8510 grad_norm: 0.1972 loss: 0.0985 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4921 recall@top3: 0.7738 prec@top3: 0.4444 recall@top5: 0.9048 prec@top5: 0.3238 loss_action_cls: 0.0985 2022/12/03 08:47:49 - mmengine - INFO - Epoch(train) [1][ 580/4451] lr: 1.5854e-02 eta: 4:09:54 time: 0.3339 data_time: 0.0153 memory: 8510 grad_norm: 0.1869 loss: 0.0933 recall@thr=0.5: 0.3188 prec@thr=0.5: 0.3913 recall@top3: 0.4275 prec@top3: 0.3333 recall@top5: 0.6739 prec@top5: 0.3217 loss_action_cls: 0.0933 2022/12/03 08:47:56 - mmengine - INFO - Epoch(train) [1][ 600/4451] lr: 1.6057e-02 eta: 4:09:36 time: 0.3341 data_time: 0.0129 memory: 8510 grad_norm: 0.2064 loss: 0.0960 recall@thr=0.5: 0.3796 prec@thr=0.5: 0.5231 recall@top3: 0.6019 prec@top3: 0.5556 recall@top5: 0.7037 prec@top5: 0.4111 loss_action_cls: 0.0960 2022/12/03 08:48:03 - mmengine - INFO - Epoch(train) [1][ 620/4451] lr: 1.6259e-02 eta: 4:09:16 time: 0.3312 data_time: 0.0118 memory: 8510 grad_norm: 0.1861 loss: 0.1034 recall@thr=0.5: 0.2917 prec@thr=0.5: 0.3681 recall@top3: 0.5556 prec@top3: 0.4444 recall@top5: 0.7014 prec@top5: 0.3417 loss_action_cls: 0.1034 2022/12/03 08:48:09 - mmengine - INFO - Epoch(train) [1][ 640/4451] lr: 1.6461e-02 eta: 4:09:00 time: 0.3345 data_time: 0.0145 memory: 8510 grad_norm: 0.1875 loss: 0.0965 recall@thr=0.5: 0.3810 prec@thr=0.5: 0.7143 recall@top3: 0.6429 prec@top3: 0.5556 recall@top5: 0.8571 prec@top5: 0.4857 loss_action_cls: 0.0965 2022/12/03 08:48:16 - mmengine - INFO - Epoch(train) [1][ 660/4451] lr: 1.6663e-02 eta: 4:08:43 time: 0.3326 data_time: 0.0166 memory: 8510 grad_norm: 0.1949 loss: 0.1113 recall@thr=0.5: 0.2456 prec@thr=0.5: 0.3421 recall@top3: 0.4825 prec@top3: 0.4035 recall@top5: 0.6053 prec@top5: 0.3053 loss_action_cls: 0.1113 2022/12/03 08:48:23 - mmengine - INFO - Epoch(train) [1][ 680/4451] lr: 1.6866e-02 eta: 4:08:27 time: 0.3336 data_time: 0.0137 memory: 8510 grad_norm: 0.1950 loss: 0.1020 recall@thr=0.5: 0.4370 prec@thr=0.5: 0.5833 recall@top3: 0.6056 prec@top3: 0.5556 recall@top5: 0.8185 prec@top5: 0.4667 loss_action_cls: 0.1020 2022/12/03 08:48:29 - mmengine - INFO - Epoch(train) [1][ 700/4451] lr: 1.7068e-02 eta: 4:08:11 time: 0.3324 data_time: 0.0105 memory: 8510 grad_norm: 0.1903 loss: 0.1032 recall@thr=0.5: 0.3137 prec@thr=0.5: 0.4510 recall@top3: 0.5882 prec@top3: 0.4902 recall@top5: 0.7696 prec@top5: 0.4000 loss_action_cls: 0.1032 2022/12/03 08:48:36 - mmengine - INFO - Epoch(train) [1][ 720/4451] lr: 1.7270e-02 eta: 4:07:57 time: 0.3340 data_time: 0.0165 memory: 8510 grad_norm: 0.1897 loss: 0.0893 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7368 recall@top3: 0.8070 prec@top3: 0.5614 recall@top5: 0.8596 prec@top5: 0.3579 loss_action_cls: 0.0893 2022/12/03 08:48:43 - mmengine - INFO - Epoch(train) [1][ 740/4451] lr: 1.7472e-02 eta: 4:07:42 time: 0.3329 data_time: 0.0127 memory: 8510 grad_norm: 0.1909 loss: 0.0982 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.3529 recall@top3: 0.7451 prec@top3: 0.3529 recall@top5: 0.8235 prec@top5: 0.2471 loss_action_cls: 0.0982 2022/12/03 08:48:49 - mmengine - INFO - Epoch(train) [1][ 760/4451] lr: 1.7674e-02 eta: 4:07:28 time: 0.3329 data_time: 0.0130 memory: 8510 grad_norm: 0.1968 loss: 0.1056 recall@thr=0.5: 0.1792 prec@thr=0.5: 0.2417 recall@top3: 0.4333 prec@top3: 0.3833 recall@top5: 0.5458 prec@top5: 0.3000 loss_action_cls: 0.1056 2022/12/03 08:48:56 - mmengine - INFO - Epoch(train) [1][ 780/4451] lr: 1.7877e-02 eta: 4:07:15 time: 0.3340 data_time: 0.0125 memory: 8510 grad_norm: 0.1902 loss: 0.0970 recall@thr=0.5: 0.3971 prec@thr=0.5: 0.5098 recall@top3: 0.6127 prec@top3: 0.5098 recall@top5: 0.8186 prec@top5: 0.4235 loss_action_cls: 0.0970 2022/12/03 08:49:03 - mmengine - INFO - Epoch(train) [1][ 800/4451] lr: 1.8079e-02 eta: 4:07:02 time: 0.3338 data_time: 0.0136 memory: 8510 grad_norm: 0.1967 loss: 0.0870 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4412 recall@top3: 0.5833 prec@top3: 0.3922 recall@top5: 0.7304 prec@top5: 0.2941 loss_action_cls: 0.0870 2022/12/03 08:49:09 - mmengine - INFO - Epoch(train) [1][ 820/4451] lr: 1.8281e-02 eta: 4:06:51 time: 0.3351 data_time: 0.0158 memory: 8510 grad_norm: 0.2096 loss: 0.1108 recall@thr=0.5: 0.3070 prec@thr=0.5: 0.5132 recall@top3: 0.5526 prec@top3: 0.4386 recall@top5: 0.7982 prec@top5: 0.3684 loss_action_cls: 0.1108 2022/12/03 08:49:16 - mmengine - INFO - Epoch(train) [1][ 840/4451] lr: 1.8483e-02 eta: 4:06:44 time: 0.3390 data_time: 0.0137 memory: 8510 grad_norm: 0.2177 loss: 0.1036 recall@thr=0.5: 0.3683 prec@thr=0.5: 0.4194 recall@top3: 0.5108 prec@top3: 0.3441 recall@top5: 0.7581 prec@top5: 0.3032 loss_action_cls: 0.1036 2022/12/03 08:49:23 - mmengine - INFO - Epoch(train) [1][ 860/4451] lr: 1.8686e-02 eta: 4:06:32 time: 0.3340 data_time: 0.0118 memory: 8510 grad_norm: 0.2060 loss: 0.0980 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.2778 recall@top3: 0.5486 prec@top3: 0.2639 recall@top5: 0.7708 prec@top5: 0.2500 loss_action_cls: 0.0980 2022/12/03 08:49:29 - mmengine - INFO - Epoch(train) [1][ 880/4451] lr: 1.8888e-02 eta: 4:06:20 time: 0.3330 data_time: 0.0137 memory: 8510 grad_norm: 0.1918 loss: 0.1003 recall@thr=0.5: 0.3631 prec@thr=0.5: 0.5119 recall@top3: 0.5982 prec@top3: 0.5595 recall@top5: 0.7887 prec@top5: 0.4714 loss_action_cls: 0.1003 2022/12/03 08:49:36 - mmengine - INFO - Epoch(train) [1][ 900/4451] lr: 1.9090e-02 eta: 4:06:10 time: 0.3358 data_time: 0.0124 memory: 8510 grad_norm: 0.1959 loss: 0.0990 recall@thr=0.5: 0.2939 prec@thr=0.5: 0.3947 recall@top3: 0.5789 prec@top3: 0.5263 recall@top5: 0.7544 prec@top5: 0.4105 loss_action_cls: 0.0990 2022/12/03 08:49:43 - mmengine - INFO - Epoch(train) [1][ 920/4451] lr: 1.9292e-02 eta: 4:06:00 time: 0.3352 data_time: 0.0114 memory: 8510 grad_norm: 0.2000 loss: 0.0976 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.7246 recall@top3: 0.7319 prec@top3: 0.6812 recall@top5: 0.7717 prec@top5: 0.4348 loss_action_cls: 0.0976 2022/12/03 08:49:49 - mmengine - INFO - Epoch(train) [1][ 940/4451] lr: 1.9494e-02 eta: 4:05:49 time: 0.3342 data_time: 0.0139 memory: 8510 grad_norm: 0.2034 loss: 0.1009 recall@thr=0.5: 0.4256 prec@thr=0.5: 0.5705 recall@top3: 0.6205 prec@top3: 0.4615 recall@top5: 0.7449 prec@top5: 0.3462 loss_action_cls: 0.1009 2022/12/03 08:49:56 - mmengine - INFO - Epoch(train) [1][ 960/4451] lr: 1.9697e-02 eta: 4:05:38 time: 0.3337 data_time: 0.0121 memory: 8510 grad_norm: 0.1880 loss: 0.1018 recall@thr=0.5: 0.3158 prec@thr=0.5: 0.4561 recall@top3: 0.5263 prec@top3: 0.4211 recall@top5: 0.7368 prec@top5: 0.3579 loss_action_cls: 0.1018 2022/12/03 08:50:03 - mmengine - INFO - Epoch(train) [1][ 980/4451] lr: 1.9899e-02 eta: 4:05:27 time: 0.3336 data_time: 0.0164 memory: 8510 grad_norm: 0.1928 loss: 0.0892 recall@thr=0.5: 0.3651 prec@thr=0.5: 0.4762 recall@top3: 0.5833 prec@top3: 0.4603 recall@top5: 0.8571 prec@top5: 0.4000 loss_action_cls: 0.0892 2022/12/03 08:50:09 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 08:50:09 - mmengine - INFO - Epoch(train) [1][1000/4451] lr: 2.0101e-02 eta: 4:05:16 time: 0.3334 data_time: 0.0153 memory: 8510 grad_norm: 0.1888 loss: 0.1097 recall@thr=0.5: 0.3307 prec@thr=0.5: 0.4600 recall@top3: 0.6653 prec@top3: 0.5200 recall@top5: 0.8640 prec@top5: 0.4480 loss_action_cls: 0.1097 2022/12/03 08:50:16 - mmengine - INFO - Epoch(train) [1][1020/4451] lr: 2.0303e-02 eta: 4:05:05 time: 0.3334 data_time: 0.0114 memory: 8510 grad_norm: 0.2219 loss: 0.0886 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.3854 recall@top3: 0.5417 prec@top3: 0.3333 recall@top5: 0.6042 prec@top5: 0.2125 loss_action_cls: 0.0886 2022/12/03 08:50:23 - mmengine - INFO - Epoch(train) [1][1040/4451] lr: 2.0506e-02 eta: 4:04:54 time: 0.3336 data_time: 0.0146 memory: 8510 grad_norm: 0.1926 loss: 0.0880 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.3611 recall@top3: 0.6944 prec@top3: 0.3333 recall@top5: 0.7500 prec@top5: 0.2333 loss_action_cls: 0.0880 2022/12/03 08:50:29 - mmengine - INFO - Epoch(train) [1][1060/4451] lr: 2.0708e-02 eta: 4:04:43 time: 0.3328 data_time: 0.0143 memory: 8510 grad_norm: 0.1932 loss: 0.1113 recall@thr=0.5: 0.2188 prec@thr=0.5: 0.3021 recall@top3: 0.5729 prec@top3: 0.4167 recall@top5: 0.6979 prec@top5: 0.3000 loss_action_cls: 0.1113 2022/12/03 08:50:36 - mmengine - INFO - Epoch(train) [1][1080/4451] lr: 2.0910e-02 eta: 4:04:34 time: 0.3355 data_time: 0.0170 memory: 8510 grad_norm: 0.1815 loss: 0.0964 recall@thr=0.5: 0.4021 prec@thr=0.5: 0.6667 recall@top3: 0.5306 prec@top3: 0.5417 recall@top5: 0.7764 prec@top5: 0.4500 loss_action_cls: 0.0964 2022/12/03 08:50:43 - mmengine - INFO - Epoch(train) [1][1100/4451] lr: 2.1112e-02 eta: 4:04:25 time: 0.3348 data_time: 0.0135 memory: 8510 grad_norm: 0.1985 loss: 0.0834 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.6056 recall@top3: 0.7556 prec@top3: 0.5333 recall@top5: 0.8278 prec@top5: 0.3600 loss_action_cls: 0.0834 2022/12/03 08:50:50 - mmengine - INFO - Epoch(train) [1][1120/4451] lr: 2.1314e-02 eta: 4:04:16 time: 0.3344 data_time: 0.0129 memory: 8510 grad_norm: 0.2219 loss: 0.1076 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5947 recall@top3: 0.6477 prec@top3: 0.6212 recall@top5: 0.8636 prec@top5: 0.5182 loss_action_cls: 0.1076 2022/12/03 08:50:56 - mmengine - INFO - Epoch(train) [1][1140/4451] lr: 2.1517e-02 eta: 4:04:05 time: 0.3330 data_time: 0.0118 memory: 8510 grad_norm: 0.2193 loss: 0.1197 recall@thr=0.5: 0.2179 prec@thr=0.5: 0.3333 recall@top3: 0.5321 prec@top3: 0.4231 recall@top5: 0.6474 prec@top5: 0.3154 loss_action_cls: 0.1197 2022/12/03 08:51:03 - mmengine - INFO - Epoch(train) [1][1160/4451] lr: 2.1719e-02 eta: 4:03:55 time: 0.3329 data_time: 0.0131 memory: 8510 grad_norm: 0.2015 loss: 0.0947 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.5882 recall@top3: 0.8824 prec@top3: 0.5882 recall@top5: 0.9804 prec@top5: 0.4235 loss_action_cls: 0.0947 2022/12/03 08:51:10 - mmengine - INFO - Epoch(train) [1][1180/4451] lr: 2.1921e-02 eta: 4:03:46 time: 0.3340 data_time: 0.0126 memory: 8510 grad_norm: 0.2117 loss: 0.1105 recall@thr=0.5: 0.2840 prec@thr=0.5: 0.3580 recall@top3: 0.4630 prec@top3: 0.4198 recall@top5: 0.6512 prec@top5: 0.3556 loss_action_cls: 0.1105 2022/12/03 08:51:16 - mmengine - INFO - Epoch(train) [1][1200/4451] lr: 2.2123e-02 eta: 4:03:36 time: 0.3339 data_time: 0.0140 memory: 8510 grad_norm: 0.2170 loss: 0.0912 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.6232 recall@top3: 0.7464 prec@top3: 0.6232 recall@top5: 0.9638 prec@top5: 0.4696 loss_action_cls: 0.0912 2022/12/03 08:51:23 - mmengine - INFO - Epoch(train) [1][1220/4451] lr: 2.2326e-02 eta: 4:03:27 time: 0.3341 data_time: 0.0156 memory: 8510 grad_norm: 0.1952 loss: 0.1060 recall@thr=0.5: 0.4242 prec@thr=0.5: 0.6136 recall@top3: 0.6439 prec@top3: 0.4697 recall@top5: 0.7652 prec@top5: 0.3545 loss_action_cls: 0.1060 2022/12/03 08:51:30 - mmengine - INFO - Epoch(train) [1][1240/4451] lr: 2.2528e-02 eta: 4:03:17 time: 0.3330 data_time: 0.0151 memory: 8510 grad_norm: 0.1986 loss: 0.0976 recall@thr=0.5: 0.5067 prec@thr=0.5: 0.5533 recall@top3: 0.5700 prec@top3: 0.5067 recall@top5: 0.6500 prec@top5: 0.3520 loss_action_cls: 0.0976 2022/12/03 08:51:36 - mmengine - INFO - Epoch(train) [1][1260/4451] lr: 2.2730e-02 eta: 4:03:07 time: 0.3324 data_time: 0.0124 memory: 8510 grad_norm: 0.2089 loss: 0.1106 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.5980 recall@top3: 0.8039 prec@top3: 0.5490 recall@top5: 0.8824 prec@top5: 0.3647 loss_action_cls: 0.1106 2022/12/03 08:51:43 - mmengine - INFO - Epoch(train) [1][1280/4451] lr: 2.2932e-02 eta: 4:02:57 time: 0.3320 data_time: 0.0130 memory: 8510 grad_norm: 0.2202 loss: 0.1084 recall@thr=0.5: 0.4211 prec@thr=0.5: 0.4912 recall@top3: 0.6535 prec@top3: 0.5614 recall@top5: 0.9079 prec@top5: 0.4737 loss_action_cls: 0.1084 2022/12/03 08:51:50 - mmengine - INFO - Epoch(train) [1][1300/4451] lr: 2.3134e-02 eta: 4:02:49 time: 0.3357 data_time: 0.0143 memory: 8510 grad_norm: 0.2132 loss: 0.1050 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.7108 recall@top3: 0.8000 prec@top3: 0.6667 recall@top5: 0.8833 prec@top5: 0.4600 loss_action_cls: 0.1050 2022/12/03 08:51:56 - mmengine - INFO - Epoch(train) [1][1320/4451] lr: 2.3337e-02 eta: 4:02:40 time: 0.3329 data_time: 0.0148 memory: 8510 grad_norm: 0.1759 loss: 0.1024 recall@thr=0.5: 0.5482 prec@thr=0.5: 0.5526 recall@top3: 0.7456 prec@top3: 0.5965 recall@top5: 0.8772 prec@top5: 0.4526 loss_action_cls: 0.1024 2022/12/03 08:52:03 - mmengine - INFO - Epoch(train) [1][1340/4451] lr: 2.3539e-02 eta: 4:02:31 time: 0.3346 data_time: 0.0146 memory: 8510 grad_norm: 0.1896 loss: 0.0940 recall@thr=0.5: 0.2667 prec@thr=0.5: 0.2800 recall@top3: 0.5067 prec@top3: 0.3467 recall@top5: 0.6667 prec@top5: 0.2720 loss_action_cls: 0.0940 2022/12/03 08:52:10 - mmengine - INFO - Epoch(train) [1][1360/4451] lr: 2.3741e-02 eta: 4:02:22 time: 0.3338 data_time: 0.0121 memory: 8510 grad_norm: 0.2035 loss: 0.0958 recall@thr=0.5: 0.3824 prec@thr=0.5: 0.4118 recall@top3: 0.6265 prec@top3: 0.5490 recall@top5: 0.7971 prec@top5: 0.4353 loss_action_cls: 0.0958 2022/12/03 08:52:16 - mmengine - INFO - Epoch(train) [1][1380/4451] lr: 2.3943e-02 eta: 4:02:14 time: 0.3350 data_time: 0.0149 memory: 8510 grad_norm: 0.2187 loss: 0.0984 recall@thr=0.5: 0.4196 prec@thr=0.5: 0.5882 recall@top3: 0.5667 prec@top3: 0.4706 recall@top5: 0.7667 prec@top5: 0.3882 loss_action_cls: 0.0984 2022/12/03 08:52:23 - mmengine - INFO - Epoch(train) [1][1400/4451] lr: 2.4146e-02 eta: 4:02:05 time: 0.3320 data_time: 0.0140 memory: 8510 grad_norm: 0.1821 loss: 0.0926 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.4020 recall@top3: 0.7059 prec@top3: 0.3922 recall@top5: 0.9020 prec@top5: 0.3294 loss_action_cls: 0.0926 2022/12/03 08:52:30 - mmengine - INFO - Epoch(train) [1][1420/4451] lr: 2.4348e-02 eta: 4:01:56 time: 0.3341 data_time: 0.0135 memory: 8510 grad_norm: 0.1906 loss: 0.0903 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.5076 recall@top3: 0.6818 prec@top3: 0.4242 recall@top5: 0.9659 prec@top5: 0.3909 loss_action_cls: 0.0903 2022/12/03 08:52:36 - mmengine - INFO - Epoch(train) [1][1440/4451] lr: 2.4550e-02 eta: 4:01:48 time: 0.3350 data_time: 0.0130 memory: 8510 grad_norm: 0.1907 loss: 0.1006 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.5694 recall@top3: 0.7292 prec@top3: 0.5417 recall@top5: 0.8819 prec@top5: 0.4000 loss_action_cls: 0.1006 2022/12/03 08:52:43 - mmengine - INFO - Epoch(train) [1][1460/4451] lr: 2.4752e-02 eta: 4:01:40 time: 0.3344 data_time: 0.0147 memory: 8510 grad_norm: 0.1894 loss: 0.0967 recall@thr=0.5: 0.4904 prec@thr=0.5: 0.5877 recall@top3: 0.6746 prec@top3: 0.5088 recall@top5: 0.8184 prec@top5: 0.4000 loss_action_cls: 0.0967 2022/12/03 08:52:50 - mmengine - INFO - Epoch(train) [1][1480/4451] lr: 2.4954e-02 eta: 4:01:32 time: 0.3352 data_time: 0.0134 memory: 8510 grad_norm: 0.2052 loss: 0.1042 recall@thr=0.5: 0.3944 prec@thr=0.5: 0.3833 recall@top3: 0.5972 prec@top3: 0.4000 recall@top5: 0.7333 prec@top5: 0.2933 loss_action_cls: 0.1042 2022/12/03 08:52:56 - mmengine - INFO - Epoch(train) [1][1500/4451] lr: 2.5157e-02 eta: 4:01:24 time: 0.3336 data_time: 0.0164 memory: 8510 grad_norm: 0.2158 loss: 0.0827 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.5616 recall@top3: 0.5870 prec@top3: 0.4783 recall@top5: 0.7942 prec@top5: 0.4087 loss_action_cls: 0.0827 2022/12/03 08:53:03 - mmengine - INFO - Epoch(train) [1][1520/4451] lr: 2.5359e-02 eta: 4:01:15 time: 0.3338 data_time: 0.0119 memory: 8510 grad_norm: 0.1731 loss: 0.0956 recall@thr=0.5: 0.4293 prec@thr=0.5: 0.5373 recall@top3: 0.5907 prec@top3: 0.5867 recall@top5: 0.8640 prec@top5: 0.5120 loss_action_cls: 0.0956 2022/12/03 08:53:10 - mmengine - INFO - Epoch(train) [1][1540/4451] lr: 2.5561e-02 eta: 4:01:09 time: 0.3368 data_time: 0.0133 memory: 8510 grad_norm: 0.1891 loss: 0.0889 recall@thr=0.5: 0.4118 prec@thr=0.5: 0.5686 recall@top3: 0.6569 prec@top3: 0.5294 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0889 2022/12/03 08:53:16 - mmengine - INFO - Epoch(train) [1][1560/4451] lr: 2.5763e-02 eta: 4:01:00 time: 0.3338 data_time: 0.0191 memory: 8510 grad_norm: 0.1947 loss: 0.1033 recall@thr=0.5: 0.4769 prec@thr=0.5: 0.6389 recall@top3: 0.7037 prec@top3: 0.6481 recall@top5: 0.8148 prec@top5: 0.4556 loss_action_cls: 0.1033 2022/12/03 08:53:23 - mmengine - INFO - Epoch(train) [1][1580/4451] lr: 2.5966e-02 eta: 4:00:51 time: 0.3316 data_time: 0.0127 memory: 8510 grad_norm: 0.2131 loss: 0.0995 recall@thr=0.5: 0.6215 prec@thr=0.5: 0.7694 recall@top3: 0.7083 prec@top3: 0.6528 recall@top5: 0.8750 prec@top5: 0.5000 loss_action_cls: 0.0995 2022/12/03 08:53:30 - mmengine - INFO - Epoch(train) [1][1600/4451] lr: 2.6168e-02 eta: 4:00:43 time: 0.3338 data_time: 0.0131 memory: 8510 grad_norm: 0.2019 loss: 0.0876 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.7424 recall@top3: 0.9091 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.4364 loss_action_cls: 0.0876 2022/12/03 08:53:36 - mmengine - INFO - Epoch(train) [1][1620/4451] lr: 2.6370e-02 eta: 4:00:35 time: 0.3343 data_time: 0.0133 memory: 8510 grad_norm: 0.1833 loss: 0.1002 recall@thr=0.5: 0.3858 prec@thr=0.5: 0.4753 recall@top3: 0.5216 prec@top3: 0.5185 recall@top5: 0.7593 prec@top5: 0.4593 loss_action_cls: 0.1002 2022/12/03 08:53:43 - mmengine - INFO - Epoch(train) [1][1640/4451] lr: 2.6572e-02 eta: 4:00:27 time: 0.3348 data_time: 0.0136 memory: 8510 grad_norm: 0.1774 loss: 0.0850 recall@thr=0.5: 0.3947 prec@thr=0.5: 0.5044 recall@top3: 0.6316 prec@top3: 0.4211 recall@top5: 0.8158 prec@top5: 0.3263 loss_action_cls: 0.0850 2022/12/03 08:53:50 - mmengine - INFO - Epoch(train) [1][1660/4451] lr: 2.6775e-02 eta: 4:00:20 time: 0.3353 data_time: 0.0130 memory: 8510 grad_norm: 0.1863 loss: 0.0730 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.4556 recall@top3: 0.7444 prec@top3: 0.5333 recall@top5: 0.8000 prec@top5: 0.3467 loss_action_cls: 0.0730 2022/12/03 08:53:57 - mmengine - INFO - Epoch(train) [1][1680/4451] lr: 2.6977e-02 eta: 4:00:11 time: 0.3324 data_time: 0.0145 memory: 8510 grad_norm: 0.1910 loss: 0.0881 recall@thr=0.5: 0.4638 prec@thr=0.5: 0.6159 recall@top3: 0.5761 prec@top3: 0.4348 recall@top5: 0.7536 prec@top5: 0.3565 loss_action_cls: 0.0881 2022/12/03 08:54:03 - mmengine - INFO - Epoch(train) [1][1700/4451] lr: 2.7179e-02 eta: 4:00:02 time: 0.3333 data_time: 0.0107 memory: 8510 grad_norm: 0.1854 loss: 0.0913 recall@thr=0.5: 0.3725 prec@thr=0.5: 0.6471 recall@top3: 0.5196 prec@top3: 0.4706 recall@top5: 0.7794 prec@top5: 0.4235 loss_action_cls: 0.0913 2022/12/03 08:54:10 - mmengine - INFO - Epoch(train) [1][1720/4451] lr: 2.7381e-02 eta: 3:59:54 time: 0.3330 data_time: 0.0115 memory: 8510 grad_norm: 0.1906 loss: 0.0821 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.4964 recall@top3: 0.8333 prec@top3: 0.5797 recall@top5: 0.9855 prec@top5: 0.4000 loss_action_cls: 0.0821 2022/12/03 08:54:17 - mmengine - INFO - Epoch(train) [1][1740/4451] lr: 2.7583e-02 eta: 3:59:47 time: 0.3352 data_time: 0.0126 memory: 8510 grad_norm: 0.2029 loss: 0.1102 recall@thr=0.5: 0.1000 prec@thr=0.5: 0.3200 recall@top3: 0.3833 prec@top3: 0.3467 recall@top5: 0.6300 prec@top5: 0.3200 loss_action_cls: 0.1102 2022/12/03 08:54:23 - mmengine - INFO - Epoch(train) [1][1760/4451] lr: 2.7786e-02 eta: 3:59:39 time: 0.3353 data_time: 0.0134 memory: 8510 grad_norm: 0.1883 loss: 0.0883 recall@thr=0.5: 0.5760 prec@thr=0.5: 0.6453 recall@top3: 0.7280 prec@top3: 0.6667 recall@top5: 0.8773 prec@top5: 0.4800 loss_action_cls: 0.0883 2022/12/03 08:54:30 - mmengine - INFO - Epoch(train) [1][1780/4451] lr: 2.7988e-02 eta: 3:59:32 time: 0.3342 data_time: 0.0134 memory: 8510 grad_norm: 0.1766 loss: 0.0927 recall@thr=0.5: 0.5647 prec@thr=0.5: 0.6410 recall@top3: 0.6929 prec@top3: 0.5769 recall@top5: 0.8513 prec@top5: 0.4538 loss_action_cls: 0.0927 2022/12/03 08:54:37 - mmengine - INFO - Epoch(train) [1][1800/4451] lr: 2.8190e-02 eta: 3:59:23 time: 0.3323 data_time: 0.0144 memory: 8510 grad_norm: 0.1882 loss: 0.0849 recall@thr=0.5: 0.3889 prec@thr=0.5: 0.3889 recall@top3: 0.7556 prec@top3: 0.4444 recall@top5: 0.8889 prec@top5: 0.3067 loss_action_cls: 0.0849 2022/12/03 08:54:43 - mmengine - INFO - Epoch(train) [1][1820/4451] lr: 2.8392e-02 eta: 3:59:15 time: 0.3327 data_time: 0.0131 memory: 8510 grad_norm: 0.1796 loss: 0.0955 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.6120 recall@top3: 0.8250 prec@top3: 0.6250 recall@top5: 0.9521 prec@top5: 0.4375 loss_action_cls: 0.0955 2022/12/03 08:54:50 - mmengine - INFO - Epoch(train) [1][1840/4451] lr: 2.8595e-02 eta: 3:59:07 time: 0.3342 data_time: 0.0127 memory: 8510 grad_norm: 0.1828 loss: 0.0923 recall@thr=0.5: 0.4564 prec@thr=0.5: 0.6667 recall@top3: 0.6282 prec@top3: 0.5769 recall@top5: 0.8660 prec@top5: 0.4846 loss_action_cls: 0.0923 2022/12/03 08:54:57 - mmengine - INFO - Epoch(train) [1][1860/4451] lr: 2.8797e-02 eta: 3:58:59 time: 0.3333 data_time: 0.0144 memory: 8510 grad_norm: 0.2023 loss: 0.0789 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6346 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.8718 prec@top5: 0.4462 loss_action_cls: 0.0789 2022/12/03 08:55:03 - mmengine - INFO - Epoch(train) [1][1880/4451] lr: 2.8999e-02 eta: 3:58:51 time: 0.3330 data_time: 0.0144 memory: 8510 grad_norm: 0.2014 loss: 0.0948 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.7353 recall@top3: 0.8676 prec@top3: 0.5882 recall@top5: 0.9020 prec@top5: 0.3765 loss_action_cls: 0.0948 2022/12/03 08:55:10 - mmengine - INFO - Epoch(train) [1][1900/4451] lr: 2.9201e-02 eta: 3:58:44 time: 0.3365 data_time: 0.0141 memory: 8510 grad_norm: 0.2050 loss: 0.1124 recall@thr=0.5: 0.3137 prec@thr=0.5: 0.3137 recall@top3: 0.6029 prec@top3: 0.3922 recall@top5: 0.8382 prec@top5: 0.3176 loss_action_cls: 0.1124 2022/12/03 08:55:17 - mmengine - INFO - Epoch(train) [1][1920/4451] lr: 2.9403e-02 eta: 3:58:36 time: 0.3337 data_time: 0.0122 memory: 8510 grad_norm: 0.2025 loss: 0.0968 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7000 recall@top3: 0.7917 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0968 2022/12/03 08:55:23 - mmengine - INFO - Epoch(train) [1][1940/4451] lr: 2.9606e-02 eta: 3:58:29 time: 0.3349 data_time: 0.0116 memory: 8510 grad_norm: 0.2071 loss: 0.0952 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.6154 recall@top3: 0.9103 prec@top3: 0.4103 recall@top5: 0.9359 prec@top5: 0.2615 loss_action_cls: 0.0952 2022/12/03 08:55:30 - mmengine - INFO - Epoch(train) [1][1960/4451] lr: 2.9808e-02 eta: 3:58:22 time: 0.3346 data_time: 0.0143 memory: 8510 grad_norm: 0.2254 loss: 0.1074 recall@thr=0.5: 0.2273 prec@thr=0.5: 0.3182 recall@top3: 0.5758 prec@top3: 0.3788 recall@top5: 0.7614 prec@top5: 0.3273 loss_action_cls: 0.1074 2022/12/03 08:55:37 - mmengine - INFO - Epoch(train) [1][1980/4451] lr: 3.0010e-02 eta: 3:58:14 time: 0.3337 data_time: 0.0119 memory: 8510 grad_norm: 0.2154 loss: 0.1001 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.7059 recall@top3: 0.7745 prec@top3: 0.7255 recall@top5: 0.9118 prec@top5: 0.5294 loss_action_cls: 0.1001 2022/12/03 08:55:43 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 08:55:43 - mmengine - INFO - Epoch(train) [1][2000/4451] lr: 3.0212e-02 eta: 3:58:06 time: 0.3332 data_time: 0.0126 memory: 8510 grad_norm: 0.2047 loss: 0.0896 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7111 recall@top3: 0.8333 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0896 2022/12/03 08:55:50 - mmengine - INFO - Epoch(train) [1][2020/4451] lr: 3.0415e-02 eta: 3:57:58 time: 0.3340 data_time: 0.0135 memory: 8510 grad_norm: 0.2022 loss: 0.0950 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6167 recall@top3: 0.7083 prec@top3: 0.5167 recall@top5: 0.8583 prec@top5: 0.3900 loss_action_cls: 0.0950 2022/12/03 08:55:57 - mmengine - INFO - Epoch(train) [1][2040/4451] lr: 3.0617e-02 eta: 3:57:50 time: 0.3330 data_time: 0.0114 memory: 8510 grad_norm: 0.2001 loss: 0.0889 recall@thr=0.5: 0.3458 prec@thr=0.5: 0.5458 recall@top3: 0.6250 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.4700 loss_action_cls: 0.0889 2022/12/03 08:56:03 - mmengine - INFO - Epoch(train) [1][2060/4451] lr: 3.0819e-02 eta: 3:57:42 time: 0.3326 data_time: 0.0117 memory: 8510 grad_norm: 0.2017 loss: 0.0972 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.6270 recall@top3: 0.7024 prec@top3: 0.6508 recall@top5: 0.9127 prec@top5: 0.5143 loss_action_cls: 0.0972 2022/12/03 08:56:10 - mmengine - INFO - Epoch(train) [1][2080/4451] lr: 3.1021e-02 eta: 3:57:35 time: 0.3347 data_time: 0.0147 memory: 8510 grad_norm: 0.1979 loss: 0.1047 recall@thr=0.5: 0.4630 prec@thr=0.5: 0.3981 recall@top3: 0.7407 prec@top3: 0.4259 recall@top5: 0.9722 prec@top5: 0.3222 loss_action_cls: 0.1047 2022/12/03 08:56:17 - mmengine - INFO - Epoch(train) [1][2100/4451] lr: 3.1223e-02 eta: 3:57:27 time: 0.3328 data_time: 0.0113 memory: 8510 grad_norm: 0.1985 loss: 0.0923 recall@thr=0.5: 0.3111 prec@thr=0.5: 0.3333 recall@top3: 0.5444 prec@top3: 0.3556 recall@top5: 0.6889 prec@top5: 0.2800 loss_action_cls: 0.0923 2022/12/03 08:56:23 - mmengine - INFO - Epoch(train) [1][2120/4451] lr: 3.1426e-02 eta: 3:57:19 time: 0.3322 data_time: 0.0117 memory: 8510 grad_norm: 0.1886 loss: 0.0887 recall@thr=0.5: 0.3733 prec@thr=0.5: 0.5600 recall@top3: 0.7200 prec@top3: 0.4933 recall@top5: 0.8400 prec@top5: 0.3520 loss_action_cls: 0.0887 2022/12/03 08:56:30 - mmengine - INFO - Epoch(train) [1][2140/4451] lr: 3.1628e-02 eta: 3:57:11 time: 0.3342 data_time: 0.0126 memory: 8510 grad_norm: 0.1874 loss: 0.0956 recall@thr=0.5: 0.3158 prec@thr=0.5: 0.4035 recall@top3: 0.5439 prec@top3: 0.3684 recall@top5: 0.6886 prec@top5: 0.2947 loss_action_cls: 0.0956 2022/12/03 08:56:37 - mmengine - INFO - Epoch(train) [1][2160/4451] lr: 3.1830e-02 eta: 3:57:04 time: 0.3334 data_time: 0.0130 memory: 8510 grad_norm: 0.2016 loss: 0.0931 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5185 recall@top3: 0.7037 prec@top3: 0.4815 recall@top5: 0.9444 prec@top5: 0.3778 loss_action_cls: 0.0931 2022/12/03 08:56:43 - mmengine - INFO - Epoch(train) [1][2180/4451] lr: 3.2032e-02 eta: 3:56:56 time: 0.3340 data_time: 0.0111 memory: 8510 grad_norm: 0.1833 loss: 0.0846 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6905 recall@top3: 0.7440 prec@top3: 0.5476 recall@top5: 0.8810 prec@top5: 0.4000 loss_action_cls: 0.0846 2022/12/03 08:56:50 - mmengine - INFO - Epoch(train) [1][2200/4451] lr: 3.2235e-02 eta: 3:56:48 time: 0.3326 data_time: 0.0115 memory: 8510 grad_norm: 0.1922 loss: 0.0908 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.5667 recall@top3: 0.7444 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4667 loss_action_cls: 0.0908 2022/12/03 08:56:57 - mmengine - INFO - Epoch(train) [1][2220/4451] lr: 3.2437e-02 eta: 3:56:40 time: 0.3328 data_time: 0.0143 memory: 8510 grad_norm: 0.1853 loss: 0.0865 recall@thr=0.5: 0.5343 prec@thr=0.5: 0.5324 recall@top3: 0.5392 prec@top3: 0.5098 recall@top5: 0.7206 prec@top5: 0.4118 loss_action_cls: 0.0865 2022/12/03 08:57:03 - mmengine - INFO - Epoch(train) [1][2240/4451] lr: 3.2639e-02 eta: 3:56:33 time: 0.3344 data_time: 0.0110 memory: 8510 grad_norm: 0.2107 loss: 0.0956 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6500 recall@top3: 0.8583 prec@top3: 0.5500 recall@top5: 0.9833 prec@top5: 0.4000 loss_action_cls: 0.0956 2022/12/03 08:57:10 - mmengine - INFO - Epoch(train) [1][2260/4451] lr: 3.2841e-02 eta: 3:56:26 time: 0.3338 data_time: 0.0130 memory: 8510 grad_norm: 0.1823 loss: 0.1049 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.5290 recall@top3: 0.6449 prec@top3: 0.4638 recall@top5: 0.8696 prec@top5: 0.4000 loss_action_cls: 0.1049 2022/12/03 08:57:17 - mmengine - INFO - Epoch(train) [1][2280/4451] lr: 3.3043e-02 eta: 3:56:19 time: 0.3352 data_time: 0.0122 memory: 8510 grad_norm: 0.1791 loss: 0.0853 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7121 recall@top3: 0.6705 prec@top3: 0.6061 recall@top5: 0.8371 prec@top5: 0.4455 loss_action_cls: 0.0853 2022/12/03 08:57:24 - mmengine - INFO - Epoch(train) [1][2300/4451] lr: 3.3246e-02 eta: 3:56:12 time: 0.3364 data_time: 0.0118 memory: 8510 grad_norm: 0.1938 loss: 0.1039 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.5556 recall@top3: 0.7000 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.4400 loss_action_cls: 0.1039 2022/12/03 08:57:30 - mmengine - INFO - Epoch(train) [1][2320/4451] lr: 3.3448e-02 eta: 3:56:05 time: 0.3334 data_time: 0.0110 memory: 8510 grad_norm: 0.1867 loss: 0.1122 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.5000 recall@top3: 0.6019 prec@top3: 0.5000 recall@top5: 0.8519 prec@top5: 0.3889 loss_action_cls: 0.1122 2022/12/03 08:57:37 - mmengine - INFO - Epoch(train) [1][2340/4451] lr: 3.3650e-02 eta: 3:55:57 time: 0.3343 data_time: 0.0113 memory: 8510 grad_norm: 0.1840 loss: 0.0922 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5245 recall@top3: 0.7549 prec@top3: 0.5294 recall@top5: 0.9118 prec@top5: 0.4118 loss_action_cls: 0.0922 2022/12/03 08:57:44 - mmengine - INFO - Epoch(train) [1][2360/4451] lr: 3.3852e-02 eta: 3:55:50 time: 0.3334 data_time: 0.0117 memory: 8510 grad_norm: 0.1755 loss: 0.0800 recall@thr=0.5: 0.4956 prec@thr=0.5: 0.6404 recall@top3: 0.8026 prec@top3: 0.6667 recall@top5: 0.9605 prec@top5: 0.5053 loss_action_cls: 0.0800 2022/12/03 08:57:50 - mmengine - INFO - Epoch(train) [1][2380/4451] lr: 3.4055e-02 eta: 3:55:43 time: 0.3344 data_time: 0.0134 memory: 8510 grad_norm: 0.2094 loss: 0.0840 recall@thr=0.5: 0.4035 prec@thr=0.5: 0.5877 recall@top3: 0.7719 prec@top3: 0.5614 recall@top5: 0.9211 prec@top5: 0.4000 loss_action_cls: 0.0840 2022/12/03 08:57:57 - mmengine - INFO - Epoch(train) [1][2400/4451] lr: 3.4257e-02 eta: 3:55:35 time: 0.3320 data_time: 0.0107 memory: 8510 grad_norm: 0.1968 loss: 0.0788 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6404 recall@top3: 0.7807 prec@top3: 0.4912 recall@top5: 0.9561 prec@top5: 0.3789 loss_action_cls: 0.0788 2022/12/03 08:58:04 - mmengine - INFO - Epoch(train) [1][2420/4451] lr: 3.4459e-02 eta: 3:55:27 time: 0.3342 data_time: 0.0120 memory: 8510 grad_norm: 0.1843 loss: 0.0916 recall@thr=0.5: 0.3593 prec@thr=0.5: 0.5722 recall@top3: 0.6056 prec@top3: 0.5370 recall@top5: 0.8593 prec@top5: 0.4556 loss_action_cls: 0.0916 2022/12/03 08:58:10 - mmengine - INFO - Epoch(train) [1][2440/4451] lr: 3.4661e-02 eta: 3:55:20 time: 0.3334 data_time: 0.0123 memory: 8510 grad_norm: 0.1963 loss: 0.0894 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.6316 recall@top3: 0.6754 prec@top3: 0.4211 recall@top5: 0.9035 prec@top5: 0.3789 loss_action_cls: 0.0894 2022/12/03 08:58:17 - mmengine - INFO - Epoch(train) [1][2460/4451] lr: 3.4863e-02 eta: 3:55:13 time: 0.3341 data_time: 0.0116 memory: 8510 grad_norm: 0.1852 loss: 0.0799 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6333 recall@top3: 0.6556 prec@top3: 0.4000 recall@top5: 0.8000 prec@top5: 0.3067 loss_action_cls: 0.0799 2022/12/03 08:58:24 - mmengine - INFO - Epoch(train) [1][2480/4451] lr: 3.5066e-02 eta: 3:55:05 time: 0.3333 data_time: 0.0120 memory: 8510 grad_norm: 0.1866 loss: 0.0859 recall@thr=0.5: 0.3681 prec@thr=0.5: 0.3611 recall@top3: 0.5694 prec@top3: 0.3333 recall@top5: 0.8333 prec@top5: 0.3083 loss_action_cls: 0.0859 2022/12/03 08:58:30 - mmengine - INFO - Epoch(train) [1][2500/4451] lr: 3.5268e-02 eta: 3:54:58 time: 0.3349 data_time: 0.0137 memory: 8510 grad_norm: 0.1945 loss: 0.0993 recall@thr=0.5: 0.4514 prec@thr=0.5: 0.7174 recall@top3: 0.7196 prec@top3: 0.6377 recall@top5: 0.8775 prec@top5: 0.4870 loss_action_cls: 0.0993 2022/12/03 08:58:37 - mmengine - INFO - Epoch(train) [1][2520/4451] lr: 3.5470e-02 eta: 3:54:51 time: 0.3346 data_time: 0.0121 memory: 8510 grad_norm: 0.1870 loss: 0.0898 recall@thr=0.5: 0.5754 prec@thr=0.5: 0.6957 recall@top3: 0.6913 prec@top3: 0.5797 recall@top5: 0.8196 prec@top5: 0.4261 loss_action_cls: 0.0898 2022/12/03 08:58:44 - mmengine - INFO - Epoch(train) [1][2540/4451] lr: 3.5672e-02 eta: 3:54:44 time: 0.3336 data_time: 0.0112 memory: 8510 grad_norm: 0.2035 loss: 0.1076 recall@thr=0.5: 0.3182 prec@thr=0.5: 0.4091 recall@top3: 0.5682 prec@top3: 0.4091 recall@top5: 0.7045 prec@top5: 0.3000 loss_action_cls: 0.1076 2022/12/03 08:58:50 - mmengine - INFO - Epoch(train) [1][2560/4451] lr: 3.5875e-02 eta: 3:54:36 time: 0.3309 data_time: 0.0128 memory: 8510 grad_norm: 0.1866 loss: 0.1043 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.5595 recall@top3: 0.8571 prec@top3: 0.4048 recall@top5: 1.0000 prec@top5: 0.3000 loss_action_cls: 0.1043 2022/12/03 08:58:57 - mmengine - INFO - Epoch(train) [1][2580/4451] lr: 3.6077e-02 eta: 3:54:28 time: 0.3329 data_time: 0.0123 memory: 8510 grad_norm: 0.2069 loss: 0.0912 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.7391 recall@top3: 0.7826 prec@top3: 0.5942 recall@top5: 0.8986 prec@top5: 0.4000 loss_action_cls: 0.0912 2022/12/03 08:59:04 - mmengine - INFO - Epoch(train) [1][2600/4451] lr: 3.6279e-02 eta: 3:54:21 time: 0.3355 data_time: 0.0114 memory: 8510 grad_norm: 0.2166 loss: 0.0852 recall@thr=0.5: 0.4206 prec@thr=0.5: 0.4444 recall@top3: 0.5952 prec@top3: 0.4603 recall@top5: 0.8333 prec@top5: 0.3714 loss_action_cls: 0.0852 2022/12/03 08:59:10 - mmengine - INFO - Epoch(train) [1][2620/4451] lr: 3.6481e-02 eta: 3:54:14 time: 0.3329 data_time: 0.0102 memory: 8510 grad_norm: 0.1952 loss: 0.0912 recall@thr=0.5: 0.4553 prec@thr=0.5: 0.6404 recall@top3: 0.5974 prec@top3: 0.5614 recall@top5: 0.8509 prec@top5: 0.4316 loss_action_cls: 0.0912 2022/12/03 08:59:17 - mmengine - INFO - Epoch(train) [1][2640/4451] lr: 3.6684e-02 eta: 3:54:07 time: 0.3345 data_time: 0.0153 memory: 8510 grad_norm: 0.1855 loss: 0.0892 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.7368 recall@top3: 0.7544 prec@top3: 0.5789 recall@top5: 0.8333 prec@top5: 0.3895 loss_action_cls: 0.0892 2022/12/03 08:59:24 - mmengine - INFO - Epoch(train) [1][2660/4451] lr: 3.6886e-02 eta: 3:53:59 time: 0.3337 data_time: 0.0112 memory: 8510 grad_norm: 0.1811 loss: 0.0865 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6056 recall@top3: 0.8222 prec@top3: 0.6222 recall@top5: 0.8667 prec@top5: 0.4000 loss_action_cls: 0.0865 2022/12/03 08:59:30 - mmengine - INFO - Epoch(train) [1][2680/4451] lr: 3.7088e-02 eta: 3:53:52 time: 0.3336 data_time: 0.0113 memory: 8510 grad_norm: 0.1960 loss: 0.0905 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.4583 recall@top3: 0.5417 prec@top3: 0.4000 recall@top5: 0.7250 prec@top5: 0.3000 loss_action_cls: 0.0905 2022/12/03 08:59:37 - mmengine - INFO - Epoch(train) [1][2700/4451] lr: 3.7290e-02 eta: 3:53:45 time: 0.3332 data_time: 0.0135 memory: 8510 grad_norm: 0.1717 loss: 0.1046 recall@thr=0.5: 0.1449 prec@thr=0.5: 0.1731 recall@top3: 0.4205 prec@top3: 0.3077 recall@top5: 0.5128 prec@top5: 0.2231 loss_action_cls: 0.1046 2022/12/03 08:59:44 - mmengine - INFO - Epoch(train) [1][2720/4451] lr: 3.7492e-02 eta: 3:53:38 time: 0.3350 data_time: 0.0155 memory: 8510 grad_norm: 0.1839 loss: 0.0805 recall@thr=0.5: 0.4561 prec@thr=0.5: 0.4737 recall@top3: 0.6807 prec@top3: 0.4561 recall@top5: 0.8053 prec@top5: 0.3263 loss_action_cls: 0.0805 2022/12/03 08:59:50 - mmengine - INFO - Epoch(train) [1][2740/4451] lr: 3.7695e-02 eta: 3:53:31 time: 0.3358 data_time: 0.0116 memory: 8510 grad_norm: 0.1745 loss: 0.0743 recall@thr=0.5: 0.4484 prec@thr=0.5: 0.4524 recall@top3: 0.7341 prec@top3: 0.6190 recall@top5: 0.8651 prec@top5: 0.4476 loss_action_cls: 0.0743 2022/12/03 08:59:57 - mmengine - INFO - Epoch(train) [1][2760/4451] lr: 3.7897e-02 eta: 3:53:24 time: 0.3340 data_time: 0.0122 memory: 8510 grad_norm: 0.1871 loss: 0.0795 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6373 recall@top3: 0.8824 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.3765 loss_action_cls: 0.0795 2022/12/03 09:00:04 - mmengine - INFO - Epoch(train) [1][2780/4451] lr: 3.8099e-02 eta: 3:53:17 time: 0.3339 data_time: 0.0117 memory: 8510 grad_norm: 0.1834 loss: 0.0680 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8792 recall@top3: 0.7167 prec@top3: 0.5833 recall@top5: 0.8833 prec@top5: 0.4600 loss_action_cls: 0.0680 2022/12/03 09:00:10 - mmengine - INFO - Epoch(train) [1][2800/4451] lr: 3.8301e-02 eta: 3:53:09 time: 0.3322 data_time: 0.0119 memory: 8510 grad_norm: 0.1886 loss: 0.0910 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6232 recall@top3: 0.6268 prec@top3: 0.6377 recall@top5: 0.7717 prec@top5: 0.4957 loss_action_cls: 0.0910 2022/12/03 09:00:17 - mmengine - INFO - Epoch(train) [1][2820/4451] lr: 3.8504e-02 eta: 3:53:02 time: 0.3348 data_time: 0.0115 memory: 8510 grad_norm: 0.1959 loss: 0.0900 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6579 recall@top3: 0.6491 prec@top3: 0.4737 recall@top5: 0.8772 prec@top5: 0.3789 loss_action_cls: 0.0900 2022/12/03 09:00:24 - mmengine - INFO - Epoch(train) [1][2840/4451] lr: 3.8706e-02 eta: 3:52:55 time: 0.3348 data_time: 0.0135 memory: 8510 grad_norm: 0.1787 loss: 0.0714 recall@thr=0.5: 0.2873 prec@thr=0.5: 0.3889 recall@top3: 0.6460 prec@top3: 0.6032 recall@top5: 0.8302 prec@top5: 0.4857 loss_action_cls: 0.0714 2022/12/03 09:00:31 - mmengine - INFO - Epoch(train) [1][2860/4451] lr: 3.8908e-02 eta: 3:52:49 time: 0.3346 data_time: 0.0118 memory: 8510 grad_norm: 0.1869 loss: 0.0911 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.5556 recall@top3: 0.6222 prec@top3: 0.4000 recall@top5: 0.8444 prec@top5: 0.3067 loss_action_cls: 0.0911 2022/12/03 09:00:37 - mmengine - INFO - Epoch(train) [1][2880/4451] lr: 3.9110e-02 eta: 3:52:42 time: 0.3344 data_time: 0.0123 memory: 8510 grad_norm: 0.1851 loss: 0.0881 recall@thr=0.5: 0.3646 prec@thr=0.5: 0.4687 recall@top3: 0.7188 prec@top3: 0.3958 recall@top5: 0.7812 prec@top5: 0.2625 loss_action_cls: 0.0881 2022/12/03 09:00:44 - mmengine - INFO - Epoch(train) [1][2900/4451] lr: 3.9312e-02 eta: 3:52:34 time: 0.3340 data_time: 0.0114 memory: 8510 grad_norm: 0.1825 loss: 0.0918 recall@thr=0.5: 0.3968 prec@thr=0.5: 0.5476 recall@top3: 0.6706 prec@top3: 0.4762 recall@top5: 0.8889 prec@top5: 0.3714 loss_action_cls: 0.0918 2022/12/03 09:00:51 - mmengine - INFO - Epoch(train) [1][2920/4451] lr: 3.9515e-02 eta: 3:52:27 time: 0.3333 data_time: 0.0165 memory: 8510 grad_norm: 0.1828 loss: 0.0789 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.4833 recall@top3: 0.6667 prec@top3: 0.5167 recall@top5: 0.8583 prec@top5: 0.4100 loss_action_cls: 0.0789 2022/12/03 09:00:57 - mmengine - INFO - Epoch(train) [1][2940/4451] lr: 3.9717e-02 eta: 3:52:20 time: 0.3325 data_time: 0.0131 memory: 8510 grad_norm: 0.1789 loss: 0.0854 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7889 recall@top3: 0.8111 prec@top3: 0.5778 recall@top5: 0.8111 prec@top5: 0.3467 loss_action_cls: 0.0854 2022/12/03 09:01:04 - mmengine - INFO - Epoch(train) [1][2960/4451] lr: 3.9919e-02 eta: 3:52:12 time: 0.3334 data_time: 0.0110 memory: 8510 grad_norm: 0.1819 loss: 0.0853 recall@thr=0.5: 0.4891 prec@thr=0.5: 0.5797 recall@top3: 0.7754 prec@top3: 0.5362 recall@top5: 0.9167 prec@top5: 0.4087 loss_action_cls: 0.0853 2022/12/03 09:01:11 - mmengine - INFO - Epoch(train) [1][2980/4451] lr: 4.0121e-02 eta: 3:52:05 time: 0.3341 data_time: 0.0112 memory: 8510 grad_norm: 0.2041 loss: 0.0907 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.6417 recall@top3: 0.7083 prec@top3: 0.5500 recall@top5: 0.8000 prec@top5: 0.3800 loss_action_cls: 0.0907 2022/12/03 09:01:17 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:01:17 - mmengine - INFO - Epoch(train) [1][3000/4451] lr: 4.0324e-02 eta: 3:51:58 time: 0.3342 data_time: 0.0132 memory: 8510 grad_norm: 0.2074 loss: 0.1016 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.5870 recall@top3: 0.6406 prec@top3: 0.3913 recall@top5: 0.8159 prec@top5: 0.3043 loss_action_cls: 0.1016 2022/12/03 09:01:24 - mmengine - INFO - Epoch(train) [1][3020/4451] lr: 4.0526e-02 eta: 3:51:51 time: 0.3327 data_time: 0.0105 memory: 8510 grad_norm: 0.1777 loss: 0.0736 recall@thr=0.5: 0.4370 prec@thr=0.5: 0.5340 recall@top3: 0.7358 prec@top3: 0.5679 recall@top5: 0.9358 prec@top5: 0.4296 loss_action_cls: 0.0736 2022/12/03 09:01:31 - mmengine - INFO - Epoch(train) [1][3040/4451] lr: 4.0728e-02 eta: 3:51:44 time: 0.3336 data_time: 0.0129 memory: 8510 grad_norm: 0.1783 loss: 0.0902 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4750 recall@top3: 0.6667 prec@top3: 0.4000 recall@top5: 0.8833 prec@top5: 0.3200 loss_action_cls: 0.0902 2022/12/03 09:01:37 - mmengine - INFO - Epoch(train) [1][3060/4451] lr: 4.0930e-02 eta: 3:51:37 time: 0.3344 data_time: 0.0142 memory: 8510 grad_norm: 0.1713 loss: 0.0916 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.6304 recall@top3: 0.7609 prec@top3: 0.5942 recall@top5: 0.8225 prec@top5: 0.3913 loss_action_cls: 0.0916 2022/12/03 09:01:44 - mmengine - INFO - Epoch(train) [1][3080/4451] lr: 4.1132e-02 eta: 3:51:30 time: 0.3344 data_time: 0.0162 memory: 8510 grad_norm: 0.1688 loss: 0.0972 recall@thr=0.5: 0.4508 prec@thr=0.5: 0.4735 recall@top3: 0.6250 prec@top3: 0.5455 recall@top5: 0.7273 prec@top5: 0.3818 loss_action_cls: 0.0972 2022/12/03 09:01:51 - mmengine - INFO - Epoch(train) [1][3100/4451] lr: 4.1335e-02 eta: 3:51:23 time: 0.3349 data_time: 0.0135 memory: 8510 grad_norm: 0.1926 loss: 0.0911 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.6500 recall@top3: 0.8389 prec@top3: 0.4667 recall@top5: 0.9111 prec@top5: 0.3200 loss_action_cls: 0.0911 2022/12/03 09:01:57 - mmengine - INFO - Epoch(train) [1][3120/4451] lr: 4.1537e-02 eta: 3:51:16 time: 0.3333 data_time: 0.0151 memory: 8510 grad_norm: 0.1839 loss: 0.0872 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.4980 recall@top3: 0.6471 prec@top3: 0.4706 recall@top5: 0.8235 prec@top5: 0.3765 loss_action_cls: 0.0872 2022/12/03 09:02:04 - mmengine - INFO - Epoch(train) [1][3140/4451] lr: 4.1739e-02 eta: 3:51:09 time: 0.3342 data_time: 0.0110 memory: 8510 grad_norm: 0.1880 loss: 0.0825 recall@thr=0.5: 0.4567 prec@thr=0.5: 0.5100 recall@top3: 0.7633 prec@top3: 0.5600 recall@top5: 0.8800 prec@top5: 0.3840 loss_action_cls: 0.0825 2022/12/03 09:02:11 - mmengine - INFO - Epoch(train) [1][3160/4451] lr: 4.1941e-02 eta: 3:51:02 time: 0.3335 data_time: 0.0120 memory: 8510 grad_norm: 0.1963 loss: 0.0807 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.5972 recall@top3: 0.7292 prec@top3: 0.5972 recall@top5: 0.8368 prec@top5: 0.4167 loss_action_cls: 0.0807 2022/12/03 09:02:17 - mmengine - INFO - Epoch(train) [1][3180/4451] lr: 4.2144e-02 eta: 3:50:54 time: 0.3328 data_time: 0.0122 memory: 8510 grad_norm: 0.1932 loss: 0.0913 recall@thr=0.5: 0.3158 prec@thr=0.5: 0.3246 recall@top3: 0.5132 prec@top3: 0.4035 recall@top5: 0.6579 prec@top5: 0.3263 loss_action_cls: 0.0913 2022/12/03 09:02:24 - mmengine - INFO - Epoch(train) [1][3200/4451] lr: 4.2346e-02 eta: 3:50:47 time: 0.3333 data_time: 0.0165 memory: 8510 grad_norm: 0.1766 loss: 0.0913 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5093 recall@top3: 0.5278 prec@top3: 0.5741 recall@top5: 0.7639 prec@top5: 0.5000 loss_action_cls: 0.0913 2022/12/03 09:02:31 - mmengine - INFO - Epoch(train) [1][3220/4451] lr: 4.2548e-02 eta: 3:50:40 time: 0.3348 data_time: 0.0120 memory: 8510 grad_norm: 0.1709 loss: 0.0830 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7111 recall@top3: 0.9222 prec@top3: 0.5333 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0830 2022/12/03 09:02:37 - mmengine - INFO - Epoch(train) [1][3240/4451] lr: 4.2750e-02 eta: 3:50:33 time: 0.3320 data_time: 0.0122 memory: 8510 grad_norm: 0.1779 loss: 0.0829 recall@thr=0.5: 0.4426 prec@thr=0.5: 0.7222 recall@top3: 0.7343 prec@top3: 0.5926 recall@top5: 0.8074 prec@top5: 0.4111 loss_action_cls: 0.0829 2022/12/03 09:02:44 - mmengine - INFO - Epoch(train) [1][3260/4451] lr: 4.2952e-02 eta: 3:50:25 time: 0.3323 data_time: 0.0116 memory: 8510 grad_norm: 0.1786 loss: 0.0780 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.7059 recall@top3: 0.8333 prec@top3: 0.5294 recall@top5: 0.8922 prec@top5: 0.3529 loss_action_cls: 0.0780 2022/12/03 09:02:51 - mmengine - INFO - Epoch(train) [1][3280/4451] lr: 4.3155e-02 eta: 3:50:18 time: 0.3340 data_time: 0.0152 memory: 8510 grad_norm: 0.1701 loss: 0.0766 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8788 recall@top3: 0.8409 prec@top3: 0.6212 recall@top5: 0.9697 prec@top5: 0.4455 loss_action_cls: 0.0766 2022/12/03 09:02:57 - mmengine - INFO - Epoch(train) [1][3300/4451] lr: 4.3357e-02 eta: 3:50:12 time: 0.3350 data_time: 0.0118 memory: 8510 grad_norm: 0.1910 loss: 0.0697 recall@thr=0.5: 0.4737 prec@thr=0.5: 0.5789 recall@top3: 0.6228 prec@top3: 0.5439 recall@top5: 0.8333 prec@top5: 0.4316 loss_action_cls: 0.0697 2022/12/03 09:03:04 - mmengine - INFO - Epoch(train) [1][3320/4451] lr: 4.3559e-02 eta: 3:50:05 time: 0.3348 data_time: 0.0128 memory: 8510 grad_norm: 0.1701 loss: 0.0857 recall@thr=0.5: 0.6347 prec@thr=0.5: 0.7014 recall@top3: 0.7403 prec@top3: 0.5556 recall@top5: 0.8562 prec@top5: 0.4083 loss_action_cls: 0.0857 2022/12/03 09:03:11 - mmengine - INFO - Epoch(train) [1][3340/4451] lr: 4.3761e-02 eta: 3:49:58 time: 0.3355 data_time: 0.0132 memory: 8510 grad_norm: 0.1702 loss: 0.0815 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6522 recall@top3: 0.7681 prec@top3: 0.4783 recall@top5: 0.8551 prec@top5: 0.3304 loss_action_cls: 0.0815 2022/12/03 09:03:17 - mmengine - INFO - Epoch(train) [1][3360/4451] lr: 4.3964e-02 eta: 3:49:51 time: 0.3339 data_time: 0.0138 memory: 8510 grad_norm: 0.1873 loss: 0.0807 recall@thr=0.5: 0.3712 prec@thr=0.5: 0.5606 recall@top3: 0.6970 prec@top3: 0.5152 recall@top5: 0.8788 prec@top5: 0.4000 loss_action_cls: 0.0807 2022/12/03 09:03:24 - mmengine - INFO - Epoch(train) [1][3380/4451] lr: 4.4166e-02 eta: 3:49:44 time: 0.3338 data_time: 0.0137 memory: 8510 grad_norm: 0.1871 loss: 0.0808 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.6389 recall@top3: 0.7500 prec@top3: 0.6481 recall@top5: 0.8426 prec@top5: 0.4556 loss_action_cls: 0.0808 2022/12/03 09:03:31 - mmengine - INFO - Epoch(train) [1][3400/4451] lr: 4.4368e-02 eta: 3:49:37 time: 0.3343 data_time: 0.0147 memory: 8510 grad_norm: 0.1785 loss: 0.0794 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6140 recall@top3: 0.7895 prec@top3: 0.6667 recall@top5: 0.9561 prec@top5: 0.4842 loss_action_cls: 0.0794 2022/12/03 09:03:37 - mmengine - INFO - Epoch(train) [1][3420/4451] lr: 4.4570e-02 eta: 3:49:30 time: 0.3315 data_time: 0.0142 memory: 8510 grad_norm: 0.1764 loss: 0.0834 recall@thr=0.5: 0.4236 prec@thr=0.5: 0.4722 recall@top3: 0.6736 prec@top3: 0.4167 recall@top5: 0.9375 prec@top5: 0.3833 loss_action_cls: 0.0834 2022/12/03 09:03:44 - mmengine - INFO - Epoch(train) [1][3440/4451] lr: 4.4772e-02 eta: 3:49:22 time: 0.3321 data_time: 0.0133 memory: 8510 grad_norm: 0.1799 loss: 0.0870 recall@thr=0.5: 0.6185 prec@thr=0.5: 0.7500 recall@top3: 0.8259 prec@top3: 0.7407 recall@top5: 0.9426 prec@top5: 0.5222 loss_action_cls: 0.0870 2022/12/03 09:03:51 - mmengine - INFO - Epoch(train) [1][3460/4451] lr: 4.4975e-02 eta: 3:49:15 time: 0.3343 data_time: 0.0117 memory: 8510 grad_norm: 0.1743 loss: 0.0821 recall@thr=0.5: 0.3500 prec@thr=0.5: 0.5000 recall@top3: 0.6333 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.4600 loss_action_cls: 0.0821 2022/12/03 09:03:57 - mmengine - INFO - Epoch(train) [1][3480/4451] lr: 4.5177e-02 eta: 3:49:08 time: 0.3333 data_time: 0.0107 memory: 8510 grad_norm: 0.1720 loss: 0.0814 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4815 recall@top3: 0.7593 prec@top3: 0.5741 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0814 2022/12/03 09:04:04 - mmengine - INFO - Epoch(train) [1][3500/4451] lr: 4.5379e-02 eta: 3:49:01 time: 0.3340 data_time: 0.0131 memory: 8510 grad_norm: 0.1822 loss: 0.0829 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5119 recall@top3: 0.5952 prec@top3: 0.4524 recall@top5: 0.8095 prec@top5: 0.3429 loss_action_cls: 0.0829 2022/12/03 09:04:11 - mmengine - INFO - Epoch(train) [1][3520/4451] lr: 4.5581e-02 eta: 3:48:54 time: 0.3325 data_time: 0.0131 memory: 8510 grad_norm: 0.1868 loss: 0.0787 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.7281 recall@top3: 0.8158 prec@top3: 0.5789 recall@top5: 0.9298 prec@top5: 0.4105 loss_action_cls: 0.0787 2022/12/03 09:04:17 - mmengine - INFO - Epoch(train) [1][3540/4451] lr: 4.5784e-02 eta: 3:48:47 time: 0.3349 data_time: 0.0140 memory: 8510 grad_norm: 0.1715 loss: 0.0775 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7000 recall@top3: 0.7167 prec@top3: 0.5778 recall@top5: 0.8389 prec@top5: 0.4133 loss_action_cls: 0.0775 2022/12/03 09:04:24 - mmengine - INFO - Epoch(train) [1][3560/4451] lr: 4.5986e-02 eta: 3:48:41 time: 0.3350 data_time: 0.0116 memory: 8510 grad_norm: 0.1859 loss: 0.0826 recall@thr=0.5: 0.5179 prec@thr=0.5: 0.7262 recall@top3: 0.6429 prec@top3: 0.5000 recall@top5: 0.7351 prec@top5: 0.3571 loss_action_cls: 0.0826 2022/12/03 09:04:31 - mmengine - INFO - Epoch(train) [1][3580/4451] lr: 4.6188e-02 eta: 3:48:33 time: 0.3317 data_time: 0.0113 memory: 8510 grad_norm: 0.1896 loss: 0.0800 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5476 recall@top3: 0.6365 prec@top3: 0.5556 recall@top5: 0.7746 prec@top5: 0.4286 loss_action_cls: 0.0800 2022/12/03 09:04:37 - mmengine - INFO - Epoch(train) [1][3600/4451] lr: 4.6390e-02 eta: 3:48:26 time: 0.3321 data_time: 0.0122 memory: 8510 grad_norm: 0.1680 loss: 0.0719 recall@thr=0.5: 0.5064 prec@thr=0.5: 0.6667 recall@top3: 0.6538 prec@top3: 0.6410 recall@top5: 0.8910 prec@top5: 0.5231 loss_action_cls: 0.0719 2022/12/03 09:04:44 - mmengine - INFO - Epoch(train) [1][3620/4451] lr: 4.6593e-02 eta: 3:48:19 time: 0.3342 data_time: 0.0117 memory: 8510 grad_norm: 0.1901 loss: 0.0867 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.4444 recall@top3: 0.5370 prec@top3: 0.3519 recall@top5: 0.7870 prec@top5: 0.3000 loss_action_cls: 0.0867 2022/12/03 09:04:51 - mmengine - INFO - Epoch(train) [1][3640/4451] lr: 4.6795e-02 eta: 3:48:11 time: 0.3324 data_time: 0.0164 memory: 8510 grad_norm: 0.1766 loss: 0.0866 recall@thr=0.5: 0.5651 prec@thr=0.5: 0.6573 recall@top3: 0.7760 prec@top3: 0.6875 recall@top5: 0.8698 prec@top5: 0.4750 loss_action_cls: 0.0866 2022/12/03 09:04:57 - mmengine - INFO - Epoch(train) [1][3660/4451] lr: 4.6997e-02 eta: 3:48:04 time: 0.3325 data_time: 0.0137 memory: 8510 grad_norm: 0.1860 loss: 0.0797 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.5897 recall@top3: 0.8526 prec@top3: 0.6026 recall@top5: 0.8910 prec@top5: 0.3769 loss_action_cls: 0.0797 2022/12/03 09:05:04 - mmengine - INFO - Epoch(train) [1][3680/4451] lr: 4.7199e-02 eta: 3:47:57 time: 0.3332 data_time: 0.0111 memory: 8510 grad_norm: 0.1709 loss: 0.0858 recall@thr=0.5: 0.6689 prec@thr=0.5: 0.8129 recall@top3: 0.8000 prec@top3: 0.7424 recall@top5: 0.9682 prec@top5: 0.5636 loss_action_cls: 0.0858 2022/12/03 09:05:11 - mmengine - INFO - Epoch(train) [1][3700/4451] lr: 4.7401e-02 eta: 3:47:50 time: 0.3346 data_time: 0.0131 memory: 8510 grad_norm: 0.1678 loss: 0.0943 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6000 recall@top3: 0.9333 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0943 2022/12/03 09:05:17 - mmengine - INFO - Epoch(train) [1][3720/4451] lr: 4.7604e-02 eta: 3:47:43 time: 0.3338 data_time: 0.0113 memory: 8510 grad_norm: 0.1812 loss: 0.0990 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7269 recall@top3: 0.6343 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.4556 loss_action_cls: 0.0990 2022/12/03 09:05:24 - mmengine - INFO - Epoch(train) [1][3740/4451] lr: 4.7806e-02 eta: 3:47:37 time: 0.3358 data_time: 0.0145 memory: 8510 grad_norm: 0.1868 loss: 0.0813 recall@thr=0.5: 0.3623 prec@thr=0.5: 0.4855 recall@top3: 0.7029 prec@top3: 0.5072 recall@top5: 0.8623 prec@top5: 0.3913 loss_action_cls: 0.0813 2022/12/03 09:05:31 - mmengine - INFO - Epoch(train) [1][3760/4451] lr: 4.8008e-02 eta: 3:47:30 time: 0.3327 data_time: 0.0138 memory: 8510 grad_norm: 0.1900 loss: 0.0856 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.5521 recall@top3: 0.7708 prec@top3: 0.4583 recall@top5: 0.8750 prec@top5: 0.3500 loss_action_cls: 0.0856 2022/12/03 09:05:37 - mmengine - INFO - Epoch(train) [1][3780/4451] lr: 4.8210e-02 eta: 3:47:23 time: 0.3337 data_time: 0.0119 memory: 8510 grad_norm: 0.1682 loss: 0.0745 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5595 recall@top3: 0.7381 prec@top3: 0.4524 recall@top5: 0.8214 prec@top5: 0.3143 loss_action_cls: 0.0745 2022/12/03 09:05:44 - mmengine - INFO - Epoch(train) [1][3800/4451] lr: 4.8413e-02 eta: 3:47:15 time: 0.3319 data_time: 0.0124 memory: 8510 grad_norm: 0.1586 loss: 0.0740 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.6237 recall@top3: 0.6053 prec@top3: 0.4561 recall@top5: 0.8158 prec@top5: 0.4000 loss_action_cls: 0.0740 2022/12/03 09:05:51 - mmengine - INFO - Epoch(train) [1][3820/4451] lr: 4.8615e-02 eta: 3:47:08 time: 0.3328 data_time: 0.0119 memory: 8510 grad_norm: 0.1722 loss: 0.0816 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5083 recall@top3: 0.6583 prec@top3: 0.3667 recall@top5: 0.8833 prec@top5: 0.3000 loss_action_cls: 0.0816 2022/12/03 09:05:57 - mmengine - INFO - Epoch(train) [1][3840/4451] lr: 4.8817e-02 eta: 3:47:01 time: 0.3337 data_time: 0.0129 memory: 8510 grad_norm: 0.1709 loss: 0.0842 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.6429 recall@top3: 0.8016 prec@top3: 0.5238 recall@top5: 0.8810 prec@top5: 0.3619 loss_action_cls: 0.0842 2022/12/03 09:06:04 - mmengine - INFO - Epoch(train) [1][3860/4451] lr: 4.9019e-02 eta: 3:46:54 time: 0.3334 data_time: 0.0139 memory: 8510 grad_norm: 0.1755 loss: 0.0859 recall@thr=0.5: 0.3738 prec@thr=0.5: 0.5000 recall@top3: 0.6679 prec@top3: 0.5476 recall@top5: 0.7143 prec@top5: 0.3714 loss_action_cls: 0.0859 2022/12/03 09:06:11 - mmengine - INFO - Epoch(train) [1][3880/4451] lr: 4.9221e-02 eta: 3:46:47 time: 0.3345 data_time: 0.0111 memory: 8510 grad_norm: 0.1695 loss: 0.0782 recall@thr=0.5: 0.3778 prec@thr=0.5: 0.3167 recall@top3: 0.6778 prec@top3: 0.5111 recall@top5: 0.8222 prec@top5: 0.3867 loss_action_cls: 0.0782 2022/12/03 09:06:18 - mmengine - INFO - Epoch(train) [1][3900/4451] lr: 4.9424e-02 eta: 3:46:41 time: 0.3353 data_time: 0.0113 memory: 8510 grad_norm: 0.1887 loss: 0.0829 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7778 recall@top3: 0.7278 prec@top3: 0.5741 recall@top5: 0.8250 prec@top5: 0.4000 loss_action_cls: 0.0829 2022/12/03 09:06:24 - mmengine - INFO - Epoch(train) [1][3920/4451] lr: 4.9626e-02 eta: 3:46:34 time: 0.3355 data_time: 0.0157 memory: 8510 grad_norm: 0.1797 loss: 0.0759 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4750 recall@top3: 0.8056 prec@top3: 0.4222 recall@top5: 0.8167 prec@top5: 0.2600 loss_action_cls: 0.0759 2022/12/03 09:06:31 - mmengine - INFO - Epoch(train) [1][3940/4451] lr: 4.9828e-02 eta: 3:46:27 time: 0.3341 data_time: 0.0130 memory: 8510 grad_norm: 0.1864 loss: 0.0753 recall@thr=0.5: 0.5159 prec@thr=0.5: 0.5714 recall@top3: 0.7063 prec@top3: 0.4762 recall@top5: 0.9286 prec@top5: 0.3714 loss_action_cls: 0.0753 2022/12/03 09:06:38 - mmengine - INFO - Epoch(train) [1][3960/4451] lr: 5.0030e-02 eta: 3:46:21 time: 0.3342 data_time: 0.0132 memory: 8510 grad_norm: 0.1855 loss: 0.0762 recall@thr=0.5: 0.5469 prec@thr=0.5: 0.6562 recall@top3: 0.6771 prec@top3: 0.5833 recall@top5: 0.9115 prec@top5: 0.4625 loss_action_cls: 0.0762 2022/12/03 09:06:44 - mmengine - INFO - Epoch(train) [1][3980/4451] lr: 5.0233e-02 eta: 3:46:13 time: 0.3333 data_time: 0.0113 memory: 8510 grad_norm: 0.1781 loss: 0.0916 recall@thr=0.5: 0.5283 prec@thr=0.5: 0.6703 recall@top3: 0.6428 prec@top3: 0.6667 recall@top5: 0.8551 prec@top5: 0.5391 loss_action_cls: 0.0916 2022/12/03 09:06:51 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:06:51 - mmengine - INFO - Epoch(train) [1][4000/4451] lr: 5.0435e-02 eta: 3:46:06 time: 0.3333 data_time: 0.0156 memory: 8510 grad_norm: 0.1733 loss: 0.0894 recall@thr=0.5: 0.5133 prec@thr=0.5: 0.7200 recall@top3: 0.7933 prec@top3: 0.6667 recall@top5: 0.8467 prec@top5: 0.4400 loss_action_cls: 0.0894 2022/12/03 09:06:58 - mmengine - INFO - Epoch(train) [1][4020/4451] lr: 5.0637e-02 eta: 3:46:00 time: 0.3351 data_time: 0.0142 memory: 8510 grad_norm: 0.1765 loss: 0.0798 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.6285 recall@top3: 0.7049 prec@top3: 0.6806 recall@top5: 0.9201 prec@top5: 0.5500 loss_action_cls: 0.0798 2022/12/03 09:07:04 - mmengine - INFO - Epoch(train) [1][4040/4451] lr: 5.0839e-02 eta: 3:45:53 time: 0.3342 data_time: 0.0103 memory: 8510 grad_norm: 0.1654 loss: 0.0787 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6806 recall@top3: 0.7292 prec@top3: 0.5139 recall@top5: 0.8264 prec@top5: 0.3583 loss_action_cls: 0.0787 2022/12/03 09:07:11 - mmengine - INFO - Epoch(train) [1][4060/4451] lr: 5.1041e-02 eta: 3:45:45 time: 0.3312 data_time: 0.0113 memory: 8510 grad_norm: 0.1891 loss: 0.0784 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6667 recall@top3: 0.8417 prec@top3: 0.6458 recall@top5: 0.9417 prec@top5: 0.4625 loss_action_cls: 0.0784 2022/12/03 09:07:18 - mmengine - INFO - Epoch(train) [1][4080/4451] lr: 5.1244e-02 eta: 3:45:38 time: 0.3330 data_time: 0.0160 memory: 8510 grad_norm: 0.1818 loss: 0.0754 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.6923 recall@top3: 0.7436 prec@top3: 0.4872 recall@top5: 0.8141 prec@top5: 0.3385 loss_action_cls: 0.0754 2022/12/03 09:07:24 - mmengine - INFO - Epoch(train) [1][4100/4451] lr: 5.1446e-02 eta: 3:45:32 time: 0.3361 data_time: 0.0115 memory: 8510 grad_norm: 0.1805 loss: 0.0835 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.5952 recall@top3: 0.7349 prec@top3: 0.5556 recall@top5: 0.8198 prec@top5: 0.3905 loss_action_cls: 0.0835 2022/12/03 09:07:31 - mmengine - INFO - Epoch(train) [1][4120/4451] lr: 5.1648e-02 eta: 3:45:25 time: 0.3320 data_time: 0.0124 memory: 8510 grad_norm: 0.1808 loss: 0.0852 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7368 recall@top3: 0.8684 prec@top3: 0.6140 recall@top5: 0.8860 prec@top5: 0.3789 loss_action_cls: 0.0852 2022/12/03 09:07:38 - mmengine - INFO - Epoch(train) [1][4140/4451] lr: 5.1850e-02 eta: 3:45:18 time: 0.3323 data_time: 0.0118 memory: 8510 grad_norm: 0.1696 loss: 0.0838 recall@thr=0.5: 0.2611 prec@thr=0.5: 0.4259 recall@top3: 0.5704 prec@top3: 0.3889 recall@top5: 0.8917 prec@top5: 0.3889 loss_action_cls: 0.0838 2022/12/03 09:07:44 - mmengine - INFO - Epoch(train) [1][4160/4451] lr: 5.2053e-02 eta: 3:45:10 time: 0.3325 data_time: 0.0137 memory: 8510 grad_norm: 0.1782 loss: 0.0777 recall@thr=0.5: 0.7053 prec@thr=0.5: 0.8509 recall@top3: 0.8105 prec@top3: 0.8070 recall@top5: 0.9368 prec@top5: 0.5684 loss_action_cls: 0.0777 2022/12/03 09:07:51 - mmengine - INFO - Epoch(train) [1][4180/4451] lr: 5.2255e-02 eta: 3:45:04 time: 0.3342 data_time: 0.0130 memory: 8510 grad_norm: 0.1723 loss: 0.0842 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.9020 recall@top3: 0.7843 prec@top3: 0.7255 recall@top5: 0.8676 prec@top5: 0.4941 loss_action_cls: 0.0842 2022/12/03 09:07:58 - mmengine - INFO - Epoch(train) [1][4200/4451] lr: 5.2457e-02 eta: 3:44:57 time: 0.3335 data_time: 0.0111 memory: 8510 grad_norm: 0.1675 loss: 0.0751 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.6250 recall@top3: 0.5370 prec@top3: 0.5000 recall@top5: 0.8148 prec@top5: 0.4667 loss_action_cls: 0.0751 2022/12/03 09:08:04 - mmengine - INFO - Epoch(train) [1][4220/4451] lr: 5.2659e-02 eta: 3:44:49 time: 0.3322 data_time: 0.0125 memory: 8510 grad_norm: 0.1675 loss: 0.0800 recall@thr=0.5: 0.4841 prec@thr=0.5: 0.5873 recall@top3: 0.7579 prec@top3: 0.5238 recall@top5: 0.8889 prec@top5: 0.3905 loss_action_cls: 0.0800 2022/12/03 09:08:11 - mmengine - INFO - Epoch(train) [1][4240/4451] lr: 5.2861e-02 eta: 3:44:43 time: 0.3345 data_time: 0.0129 memory: 8510 grad_norm: 0.1719 loss: 0.0844 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7375 recall@top3: 0.7976 prec@top3: 0.5714 recall@top5: 0.9405 prec@top5: 0.4214 loss_action_cls: 0.0844 2022/12/03 09:08:18 - mmengine - INFO - Epoch(train) [1][4260/4451] lr: 5.3064e-02 eta: 3:44:36 time: 0.3358 data_time: 0.0128 memory: 8510 grad_norm: 0.1766 loss: 0.0825 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.4821 recall@top3: 0.7381 prec@top3: 0.5119 recall@top5: 0.8631 prec@top5: 0.3643 loss_action_cls: 0.0825 2022/12/03 09:08:24 - mmengine - INFO - Epoch(train) [1][4280/4451] lr: 5.3266e-02 eta: 3:44:29 time: 0.3351 data_time: 0.0126 memory: 8510 grad_norm: 0.1659 loss: 0.0777 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5079 recall@top3: 0.7302 prec@top3: 0.4444 recall@top5: 0.8095 prec@top5: 0.3048 loss_action_cls: 0.0777 2022/12/03 09:08:31 - mmengine - INFO - Epoch(train) [1][4300/4451] lr: 5.3468e-02 eta: 3:44:23 time: 0.3346 data_time: 0.0134 memory: 8510 grad_norm: 0.1676 loss: 0.0743 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7250 recall@top3: 0.7188 prec@top3: 0.6458 recall@top5: 0.7604 prec@top5: 0.4125 loss_action_cls: 0.0743 2022/12/03 09:08:38 - mmengine - INFO - Epoch(train) [1][4320/4451] lr: 5.3670e-02 eta: 3:44:16 time: 0.3344 data_time: 0.0182 memory: 8510 grad_norm: 0.1639 loss: 0.0790 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8778 recall@top3: 0.8778 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0790 2022/12/03 09:08:44 - mmengine - INFO - Epoch(train) [1][4340/4451] lr: 5.3873e-02 eta: 3:44:09 time: 0.3340 data_time: 0.0128 memory: 8510 grad_norm: 0.1806 loss: 0.0759 recall@thr=0.5: 0.3417 prec@thr=0.5: 0.3667 recall@top3: 0.5917 prec@top3: 0.4500 recall@top5: 0.6917 prec@top5: 0.3100 loss_action_cls: 0.0759 2022/12/03 09:08:51 - mmengine - INFO - Epoch(train) [1][4360/4451] lr: 5.4075e-02 eta: 3:44:02 time: 0.3333 data_time: 0.0116 memory: 8510 grad_norm: 0.1900 loss: 0.0828 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.4762 recall@top3: 0.8690 prec@top3: 0.5952 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0828 2022/12/03 09:08:58 - mmengine - INFO - Epoch(train) [1][4380/4451] lr: 5.4277e-02 eta: 3:43:55 time: 0.3345 data_time: 0.0122 memory: 8510 grad_norm: 0.1689 loss: 0.0806 recall@thr=0.5: 0.6617 prec@thr=0.5: 0.6667 recall@top3: 0.7633 prec@top3: 0.6333 recall@top5: 0.8133 prec@top5: 0.4100 loss_action_cls: 0.0806 2022/12/03 09:09:04 - mmengine - INFO - Epoch(train) [1][4400/4451] lr: 5.4479e-02 eta: 3:43:49 time: 0.3349 data_time: 0.0120 memory: 8510 grad_norm: 0.1604 loss: 0.0845 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7500 recall@top3: 0.7708 prec@top3: 0.6528 recall@top5: 0.8333 prec@top5: 0.4333 loss_action_cls: 0.0845 2022/12/03 09:09:11 - mmengine - INFO - Epoch(train) [1][4420/4451] lr: 5.4681e-02 eta: 3:43:41 time: 0.3316 data_time: 0.0129 memory: 8510 grad_norm: 0.1690 loss: 0.0821 recall@thr=0.5: 0.4417 prec@thr=0.5: 0.4917 recall@top3: 0.6083 prec@top3: 0.4667 recall@top5: 0.7583 prec@top5: 0.3500 loss_action_cls: 0.0821 2022/12/03 09:09:18 - mmengine - INFO - Epoch(train) [1][4440/4451] lr: 5.4884e-02 eta: 3:43:35 time: 0.3352 data_time: 0.0109 memory: 8510 grad_norm: 0.1765 loss: 0.0698 recall@thr=0.5: 0.3009 prec@thr=0.5: 0.4537 recall@top3: 0.5602 prec@top3: 0.5185 recall@top5: 0.8148 prec@top5: 0.4778 loss_action_cls: 0.0698 2022/12/03 09:09:21 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:09:21 - mmengine - INFO - Epoch(train) [1][4451/4451] lr: 5.4995e-02 eta: 3:43:30 time: 0.3297 data_time: 0.0126 memory: 8510 grad_norm: 0.1742 loss: 0.0831 recall@thr=0.5: 0.2949 prec@thr=0.5: 0.4231 recall@top3: 0.7308 prec@top3: 0.5641 recall@top5: 0.9359 prec@top5: 0.4462 loss_action_cls: 0.0831 2022/12/03 09:09:21 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/12/03 09:09:30 - mmengine - INFO - Epoch(val) [1][ 20/6282] eta: 0:28:16 time: 0.2709 data_time: 0.2258 memory: 662 2022/12/03 09:09:31 - mmengine - INFO - Epoch(val) [1][ 40/6282] eta: 0:16:37 time: 0.0488 data_time: 0.0068 memory: 662 2022/12/03 09:09:32 - mmengine - INFO - Epoch(val) [1][ 60/6282] eta: 0:12:38 time: 0.0463 data_time: 0.0078 memory: 662 2022/12/03 09:09:33 - mmengine - INFO - Epoch(val) [1][ 80/6282] eta: 0:10:42 time: 0.0488 data_time: 0.0083 memory: 662 2022/12/03 09:09:34 - mmengine - INFO - Epoch(val) [1][ 100/6282] eta: 0:09:33 time: 0.0491 data_time: 0.0097 memory: 662 2022/12/03 09:09:35 - mmengine - INFO - Epoch(val) [1][ 120/6282] eta: 0:08:49 time: 0.0519 data_time: 0.0069 memory: 733 2022/12/03 09:09:36 - mmengine - INFO - Epoch(val) [1][ 140/6282] eta: 0:08:20 time: 0.0546 data_time: 0.0087 memory: 733 2022/12/03 09:09:37 - mmengine - INFO - Epoch(val) [1][ 160/6282] eta: 0:08:01 time: 0.0587 data_time: 0.0078 memory: 733 2022/12/03 09:09:38 - mmengine - INFO - Epoch(val) [1][ 180/6282] eta: 0:07:43 time: 0.0544 data_time: 0.0055 memory: 733 2022/12/03 09:09:40 - mmengine - INFO - Epoch(val) [1][ 200/6282] eta: 0:07:30 time: 0.0577 data_time: 0.0080 memory: 733 2022/12/03 09:09:41 - mmengine - INFO - Epoch(val) [1][ 220/6282] eta: 0:07:18 time: 0.0554 data_time: 0.0083 memory: 674 2022/12/03 09:09:42 - mmengine - INFO - Epoch(val) [1][ 240/6282] eta: 0:07:07 time: 0.0534 data_time: 0.0080 memory: 674 2022/12/03 09:09:43 - mmengine - INFO - Epoch(val) [1][ 260/6282] eta: 0:06:56 time: 0.0498 data_time: 0.0064 memory: 674 2022/12/03 09:09:44 - mmengine - INFO - Epoch(val) [1][ 280/6282] eta: 0:06:46 time: 0.0495 data_time: 0.0041 memory: 674 2022/12/03 09:09:45 - mmengine - INFO - Epoch(val) [1][ 300/6282] eta: 0:06:41 time: 0.0566 data_time: 0.0099 memory: 733 2022/12/03 09:09:46 - mmengine - INFO - Epoch(val) [1][ 320/6282] eta: 0:06:35 time: 0.0549 data_time: 0.0076 memory: 733 2022/12/03 09:09:47 - mmengine - INFO - Epoch(val) [1][ 340/6282] eta: 0:06:31 time: 0.0587 data_time: 0.0097 memory: 733 2022/12/03 09:09:48 - mmengine - INFO - 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time: 0.0430 data_time: 0.0052 memory: 670 2022/12/03 09:10:06 - mmengine - INFO - Epoch(val) [1][ 700/6282] eta: 0:05:30 time: 0.0471 data_time: 0.0068 memory: 670 2022/12/03 09:10:07 - mmengine - INFO - Epoch(val) [1][ 720/6282] eta: 0:05:28 time: 0.0543 data_time: 0.0135 memory: 733 2022/12/03 09:10:09 - mmengine - INFO - Epoch(val) [1][ 740/6282] eta: 0:05:29 time: 0.0696 data_time: 0.0234 memory: 733 2022/12/03 09:10:10 - mmengine - INFO - Epoch(val) [1][ 760/6282] eta: 0:05:28 time: 0.0632 data_time: 0.0117 memory: 733 2022/12/03 09:10:12 - mmengine - INFO - Epoch(val) [1][ 780/6282] eta: 0:05:29 time: 0.0769 data_time: 0.0280 memory: 733 2022/12/03 09:10:13 - mmengine - INFO - Epoch(val) [1][ 800/6282] eta: 0:05:28 time: 0.0619 data_time: 0.0118 memory: 733 2022/12/03 09:10:14 - mmengine - INFO - Epoch(val) [1][ 820/6282] eta: 0:05:27 time: 0.0605 data_time: 0.0135 memory: 733 2022/12/03 09:10:15 - mmengine - INFO - Epoch(val) [1][ 840/6282] eta: 0:05:25 time: 0.0538 data_time: 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2022/12/03 09:10:25 - mmengine - INFO - Epoch(val) [1][1020/6282] eta: 0:05:08 time: 0.0498 data_time: 0.0083 memory: 674 2022/12/03 09:10:26 - mmengine - INFO - Epoch(val) [1][1040/6282] eta: 0:05:06 time: 0.0532 data_time: 0.0072 memory: 674 2022/12/03 09:10:27 - mmengine - INFO - Epoch(val) [1][1060/6282] eta: 0:05:04 time: 0.0508 data_time: 0.0067 memory: 674 2022/12/03 09:10:28 - mmengine - INFO - Epoch(val) [1][1080/6282] eta: 0:05:03 time: 0.0516 data_time: 0.0069 memory: 674 2022/12/03 09:10:29 - mmengine - INFO - Epoch(val) [1][1100/6282] eta: 0:05:01 time: 0.0535 data_time: 0.0070 memory: 674 2022/12/03 09:10:30 - mmengine - INFO - Epoch(val) [1][1120/6282] eta: 0:04:59 time: 0.0514 data_time: 0.0102 memory: 674 2022/12/03 09:10:31 - mmengine - INFO - Epoch(val) [1][1140/6282] eta: 0:04:58 time: 0.0536 data_time: 0.0065 memory: 674 2022/12/03 09:10:32 - mmengine - INFO - Epoch(val) [1][1160/6282] eta: 0:04:56 time: 0.0513 data_time: 0.0077 memory: 674 2022/12/03 09:10:33 - mmengine - INFO - Epoch(val) [1][1180/6282] eta: 0:04:54 time: 0.0494 data_time: 0.0057 memory: 674 2022/12/03 09:10:34 - mmengine - INFO - Epoch(val) [1][1200/6282] eta: 0:04:52 time: 0.0476 data_time: 0.0082 memory: 674 2022/12/03 09:10:35 - mmengine - INFO - Epoch(val) [1][1220/6282] eta: 0:04:50 time: 0.0503 data_time: 0.0067 memory: 674 2022/12/03 09:10:36 - mmengine - INFO - Epoch(val) [1][1240/6282] eta: 0:04:49 time: 0.0554 data_time: 0.0104 memory: 733 2022/12/03 09:10:37 - mmengine - INFO - Epoch(val) [1][1260/6282] eta: 0:04:48 time: 0.0618 data_time: 0.0186 memory: 733 2022/12/03 09:10:39 - mmengine - INFO - Epoch(val) [1][1280/6282] eta: 0:04:48 time: 0.0656 data_time: 0.0174 memory: 733 2022/12/03 09:10:40 - mmengine - INFO - Epoch(val) [1][1300/6282] eta: 0:04:47 time: 0.0635 data_time: 0.0151 memory: 733 2022/12/03 09:10:41 - mmengine - INFO - Epoch(val) [1][1320/6282] eta: 0:04:46 time: 0.0668 data_time: 0.0231 memory: 733 2022/12/03 09:10:42 - mmengine - INFO - Epoch(val) [1][1340/6282] eta: 0:04:46 time: 0.0639 data_time: 0.0154 memory: 733 2022/12/03 09:10:44 - mmengine - INFO - Epoch(val) [1][1360/6282] eta: 0:04:45 time: 0.0629 data_time: 0.0186 memory: 733 2022/12/03 09:10:45 - mmengine - INFO - Epoch(val) [1][1380/6282] eta: 0:04:44 time: 0.0563 data_time: 0.0127 memory: 733 2022/12/03 09:10:46 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:04:43 time: 0.0652 data_time: 0.0208 memory: 733 2022/12/03 09:10:48 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:04:42 time: 0.0673 data_time: 0.0174 memory: 733 2022/12/03 09:10:49 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:04:41 time: 0.0533 data_time: 0.0067 memory: 733 2022/12/03 09:10:50 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:04:40 time: 0.0565 data_time: 0.0084 memory: 733 2022/12/03 09:10:51 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:04:38 time: 0.0569 data_time: 0.0083 memory: 733 2022/12/03 09:10:52 - mmengine - INFO - Epoch(val) 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0:04:27 time: 0.0523 data_time: 0.0065 memory: 733 2022/12/03 09:11:02 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:04:25 time: 0.0484 data_time: 0.0057 memory: 733 2022/12/03 09:11:03 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:04:24 time: 0.0557 data_time: 0.0092 memory: 733 2022/12/03 09:11:04 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:04:23 time: 0.0533 data_time: 0.0053 memory: 733 2022/12/03 09:11:05 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:04:21 time: 0.0526 data_time: 0.0042 memory: 733 2022/12/03 09:11:06 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:04:20 time: 0.0537 data_time: 0.0075 memory: 733 2022/12/03 09:11:07 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:04:19 time: 0.0532 data_time: 0.0055 memory: 733 2022/12/03 09:11:08 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:04:17 time: 0.0545 data_time: 0.0076 memory: 733 2022/12/03 09:11:10 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:04:16 time: 0.0593 data_time: 0.0056 memory: 733 2022/12/03 09:11:11 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:04:15 time: 0.0564 data_time: 0.0065 memory: 733 2022/12/03 09:11:12 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:04:14 time: 0.0562 data_time: 0.0086 memory: 733 2022/12/03 09:11:13 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:04:13 time: 0.0623 data_time: 0.0121 memory: 733 2022/12/03 09:11:14 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:04:12 time: 0.0605 data_time: 0.0112 memory: 733 2022/12/03 09:11:16 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:04:11 time: 0.0666 data_time: 0.0176 memory: 733 2022/12/03 09:11:17 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:04:10 time: 0.0589 data_time: 0.0138 memory: 733 2022/12/03 09:11:18 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:04:08 time: 0.0494 data_time: 0.0045 memory: 679 2022/12/03 09:11:19 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:04:07 time: 0.0542 data_time: 0.0079 memory: 679 2022/12/03 09:11:20 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:04:06 time: 0.0553 data_time: 0.0101 memory: 679 2022/12/03 09:11:21 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:04:04 time: 0.0503 data_time: 0.0062 memory: 679 2022/12/03 09:11:22 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:04:03 time: 0.0559 data_time: 0.0117 memory: 679 2022/12/03 09:11:23 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:04:02 time: 0.0541 data_time: 0.0061 memory: 679 2022/12/03 09:11:24 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:04:01 time: 0.0561 data_time: 0.0109 memory: 679 2022/12/03 09:11:26 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:04:00 time: 0.0582 data_time: 0.0111 memory: 679 2022/12/03 09:11:27 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:03:58 time: 0.0499 data_time: 0.0077 memory: 679 2022/12/03 09:11:28 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:03:57 time: 0.0524 data_time: 0.0090 memory: 679 2022/12/03 09:11:29 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:03:56 time: 0.0549 data_time: 0.0086 memory: 674 2022/12/03 09:11:30 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:03:54 time: 0.0537 data_time: 0.0097 memory: 674 2022/12/03 09:11:31 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:03:53 time: 0.0533 data_time: 0.0084 memory: 674 2022/12/03 09:11:32 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:03:52 time: 0.0527 data_time: 0.0078 memory: 674 2022/12/03 09:11:33 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:03:50 time: 0.0483 data_time: 0.0073 memory: 674 2022/12/03 09:11:34 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:03:49 time: 0.0503 data_time: 0.0064 memory: 679 2022/12/03 09:11:35 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:03:48 time: 0.0571 data_time: 0.0075 memory: 679 2022/12/03 09:11:36 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:03:46 time: 0.0521 data_time: 0.0081 memory: 679 2022/12/03 09:11:37 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:03:45 time: 0.0532 data_time: 0.0069 memory: 679 2022/12/03 09:11:38 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:03:44 time: 0.0552 data_time: 0.0113 memory: 679 2022/12/03 09:11:39 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:03:43 time: 0.0540 data_time: 0.0086 memory: 674 2022/12/03 09:11:40 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:03:42 time: 0.0563 data_time: 0.0082 memory: 674 2022/12/03 09:11:41 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:03:40 time: 0.0522 data_time: 0.0077 memory: 674 2022/12/03 09:11:43 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:03:39 time: 0.0561 data_time: 0.0056 memory: 674 2022/12/03 09:11:44 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:03:38 time: 0.0517 data_time: 0.0077 memory: 674 2022/12/03 09:11:45 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:03:37 time: 0.0603 data_time: 0.0091 memory: 733 2022/12/03 09:11:46 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:03:36 time: 0.0569 data_time: 0.0078 memory: 733 2022/12/03 09:11:47 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:03:34 time: 0.0561 data_time: 0.0098 memory: 733 2022/12/03 09:11:48 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:03:33 time: 0.0600 data_time: 0.0121 memory: 733 2022/12/03 09:11:49 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:03:32 time: 0.0554 data_time: 0.0081 memory: 733 2022/12/03 09:11:51 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:03:31 time: 0.0563 data_time: 0.0100 memory: 733 2022/12/03 09:11:52 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:03:30 time: 0.0691 data_time: 0.0223 memory: 733 2022/12/03 09:11:53 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:03:29 time: 0.0625 data_time: 0.0132 memory: 733 2022/12/03 09:11:54 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:03:28 time: 0.0609 data_time: 0.0139 memory: 733 2022/12/03 09:11:56 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:03:27 time: 0.0578 data_time: 0.0131 memory: 733 2022/12/03 09:11:57 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:03:26 time: 0.0573 data_time: 0.0094 memory: 812 2022/12/03 09:11:58 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:03:25 time: 0.0559 data_time: 0.0059 memory: 812 2022/12/03 09:11:59 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:03:24 time: 0.0573 data_time: 0.0057 memory: 812 2022/12/03 09:12:00 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:03:23 time: 0.0603 data_time: 0.0087 memory: 812 2022/12/03 09:12:01 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:03:22 time: 0.0582 data_time: 0.0072 memory: 812 2022/12/03 09:12:02 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:03:20 time: 0.0527 data_time: 0.0071 memory: 679 2022/12/03 09:12:03 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:03:19 time: 0.0543 data_time: 0.0075 memory: 679 2022/12/03 09:12:04 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:03:18 time: 0.0499 data_time: 0.0055 memory: 679 2022/12/03 09:12:06 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:03:17 time: 0.0524 data_time: 0.0079 memory: 679 2022/12/03 09:12:07 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:03:15 time: 0.0525 data_time: 0.0076 memory: 679 2022/12/03 09:12:08 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:03:14 time: 0.0591 data_time: 0.0105 memory: 733 2022/12/03 09:12:09 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:03:13 time: 0.0606 data_time: 0.0115 memory: 733 2022/12/03 09:12:10 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:03:12 time: 0.0536 data_time: 0.0084 memory: 733 2022/12/03 09:12:11 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:03:11 time: 0.0522 data_time: 0.0069 memory: 733 2022/12/03 09:12:12 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:03:10 time: 0.0538 data_time: 0.0080 memory: 702 2022/12/03 09:12:13 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:03:08 time: 0.0528 data_time: 0.0070 memory: 702 2022/12/03 09:12:14 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:03:07 time: 0.0494 data_time: 0.0063 memory: 702 2022/12/03 09:12:15 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:03:06 time: 0.0526 data_time: 0.0068 memory: 702 2022/12/03 09:12:16 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:03:05 time: 0.0571 data_time: 0.0072 memory: 733 2022/12/03 09:12:18 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:03:04 time: 0.0568 data_time: 0.0091 memory: 733 2022/12/03 09:12:19 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:03:02 time: 0.0555 data_time: 0.0066 memory: 733 2022/12/03 09:12:20 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:03:01 time: 0.0564 data_time: 0.0095 memory: 733 2022/12/03 09:12:21 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:03:00 time: 0.0530 data_time: 0.0059 memory: 733 2022/12/03 09:12:22 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:02:59 time: 0.0524 data_time: 0.0073 memory: 679 2022/12/03 09:12:23 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:02:58 time: 0.0518 data_time: 0.0067 memory: 679 2022/12/03 09:12:24 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:02:56 time: 0.0538 data_time: 0.0068 memory: 679 2022/12/03 09:12:25 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:02:55 time: 0.0495 data_time: 0.0077 memory: 679 2022/12/03 09:12:26 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:02:54 time: 0.0558 data_time: 0.0066 memory: 733 2022/12/03 09:12:27 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:02:53 time: 0.0582 data_time: 0.0094 memory: 733 2022/12/03 09:12:28 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:02:52 time: 0.0513 data_time: 0.0076 memory: 733 2022/12/03 09:12:29 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:02:50 time: 0.0563 data_time: 0.0070 memory: 733 2022/12/03 09:12:31 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:02:49 time: 0.0543 data_time: 0.0065 memory: 733 2022/12/03 09:12:32 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:02:48 time: 0.0602 data_time: 0.0097 memory: 733 2022/12/03 09:12:33 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:02:47 time: 0.0536 data_time: 0.0072 memory: 733 2022/12/03 09:12:34 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:02:46 time: 0.0551 data_time: 0.0097 memory: 733 2022/12/03 09:12:35 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:02:45 time: 0.0574 data_time: 0.0104 memory: 733 2022/12/03 09:12:36 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:02:44 time: 0.0528 data_time: 0.0074 memory: 733 2022/12/03 09:12:37 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:02:42 time: 0.0495 data_time: 0.0054 memory: 674 2022/12/03 09:12:38 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:02:41 time: 0.0576 data_time: 0.0102 memory: 674 2022/12/03 09:12:39 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:02:40 time: 0.0505 data_time: 0.0071 memory: 674 2022/12/03 09:12:40 - mmengine - INFO - Epoch(val) 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0:02:29 time: 0.0537 data_time: 0.0075 memory: 716 2022/12/03 09:12:50 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:02:28 time: 0.0503 data_time: 0.0060 memory: 716 2022/12/03 09:12:51 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:02:27 time: 0.0557 data_time: 0.0096 memory: 716 2022/12/03 09:12:52 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:02:26 time: 0.0603 data_time: 0.0136 memory: 733 2022/12/03 09:12:53 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:02:25 time: 0.0530 data_time: 0.0073 memory: 733 2022/12/03 09:12:55 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:02:24 time: 0.0575 data_time: 0.0074 memory: 733 2022/12/03 09:12:56 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:02:23 time: 0.0571 data_time: 0.0093 memory: 733 2022/12/03 09:12:57 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:02:22 time: 0.0566 data_time: 0.0076 memory: 733 2022/12/03 09:12:58 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:02:20 time: 0.0583 data_time: 0.0092 memory: 733 2022/12/03 09:12:59 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:02:19 time: 0.0533 data_time: 0.0053 memory: 733 2022/12/03 09:13:00 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:02:18 time: 0.0573 data_time: 0.0076 memory: 733 2022/12/03 09:13:01 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:02:17 time: 0.0561 data_time: 0.0073 memory: 733 2022/12/03 09:13:02 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:02:16 time: 0.0555 data_time: 0.0089 memory: 733 2022/12/03 09:13:04 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:02:15 time: 0.0569 data_time: 0.0091 memory: 733 2022/12/03 09:13:05 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:02:14 time: 0.0563 data_time: 0.0061 memory: 733 2022/12/03 09:13:06 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:02:12 time: 0.0546 data_time: 0.0081 memory: 733 2022/12/03 09:13:07 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:02:11 time: 0.0556 data_time: 0.0081 memory: 733 2022/12/03 09:13:08 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:02:10 time: 0.0560 data_time: 0.0094 memory: 733 2022/12/03 09:13:09 - mmengine - INFO - Epoch(val) [1][3980/6282] eta: 0:02:09 time: 0.0559 data_time: 0.0073 memory: 733 2022/12/03 09:13:10 - mmengine - INFO - Epoch(val) [1][4000/6282] eta: 0:02:08 time: 0.0537 data_time: 0.0064 memory: 733 2022/12/03 09:13:11 - mmengine - INFO - Epoch(val) [1][4020/6282] eta: 0:02:07 time: 0.0527 data_time: 0.0081 memory: 733 2022/12/03 09:13:12 - mmengine - INFO - Epoch(val) [1][4040/6282] eta: 0:02:06 time: 0.0528 data_time: 0.0072 memory: 812 2022/12/03 09:13:14 - mmengine - INFO - Epoch(val) [1][4060/6282] eta: 0:02:05 time: 0.0589 data_time: 0.0047 memory: 812 2022/12/03 09:13:15 - mmengine - INFO - Epoch(val) [1][4080/6282] eta: 0:02:03 time: 0.0572 data_time: 0.0060 memory: 812 2022/12/03 09:13:16 - mmengine - INFO - Epoch(val) [1][4100/6282] eta: 0:02:02 time: 0.0619 data_time: 0.0069 memory: 812 2022/12/03 09:13:17 - mmengine - INFO - Epoch(val) [1][4120/6282] eta: 0:02:01 time: 0.0585 data_time: 0.0060 memory: 812 2022/12/03 09:13:18 - mmengine - INFO - Epoch(val) [1][4140/6282] eta: 0:02:00 time: 0.0526 data_time: 0.0048 memory: 812 2022/12/03 09:13:19 - mmengine - INFO - Epoch(val) [1][4160/6282] eta: 0:01:59 time: 0.0522 data_time: 0.0078 memory: 674 2022/12/03 09:13:20 - mmengine - INFO - Epoch(val) [1][4180/6282] eta: 0:01:58 time: 0.0492 data_time: 0.0060 memory: 674 2022/12/03 09:13:21 - mmengine - INFO - Epoch(val) [1][4200/6282] eta: 0:01:57 time: 0.0506 data_time: 0.0067 memory: 674 2022/12/03 09:13:22 - mmengine - INFO - Epoch(val) [1][4220/6282] eta: 0:01:55 time: 0.0528 data_time: 0.0075 memory: 674 2022/12/03 09:13:23 - mmengine - INFO - Epoch(val) [1][4240/6282] eta: 0:01:54 time: 0.0531 data_time: 0.0096 memory: 674 2022/12/03 09:13:24 - mmengine - INFO - Epoch(val) [1][4260/6282] eta: 0:01:53 time: 0.0581 data_time: 0.0091 memory: 673 2022/12/03 09:13:26 - mmengine - INFO - Epoch(val) [1][4280/6282] eta: 0:01:52 time: 0.0513 data_time: 0.0073 memory: 673 2022/12/03 09:13:27 - mmengine - INFO - Epoch(val) [1][4300/6282] eta: 0:01:51 time: 0.0547 data_time: 0.0071 memory: 673 2022/12/03 09:13:28 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:01:50 time: 0.0506 data_time: 0.0079 memory: 673 2022/12/03 09:13:29 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:01:48 time: 0.0484 data_time: 0.0067 memory: 673 2022/12/03 09:13:30 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:01:47 time: 0.0532 data_time: 0.0066 memory: 733 2022/12/03 09:13:31 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:01:46 time: 0.0514 data_time: 0.0060 memory: 733 2022/12/03 09:13:32 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:01:45 time: 0.0547 data_time: 0.0057 memory: 733 2022/12/03 09:13:33 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:01:44 time: 0.0546 data_time: 0.0067 memory: 733 2022/12/03 09:13:34 - mmengine - INFO - Epoch(val) 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0:01:34 time: 0.0502 data_time: 0.0066 memory: 679 2022/12/03 09:13:44 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:01:32 time: 0.0524 data_time: 0.0078 memory: 679 2022/12/03 09:13:45 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:01:31 time: 0.0550 data_time: 0.0071 memory: 740 2022/12/03 09:13:46 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:01:30 time: 0.0539 data_time: 0.0066 memory: 740 2022/12/03 09:13:47 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:01:29 time: 0.0563 data_time: 0.0057 memory: 740 2022/12/03 09:13:48 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:01:28 time: 0.0567 data_time: 0.0086 memory: 740 2022/12/03 09:13:49 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:01:27 time: 0.0586 data_time: 0.0077 memory: 740 2022/12/03 09:13:50 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:01:26 time: 0.0522 data_time: 0.0072 memory: 699 2022/12/03 09:13:51 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:01:25 time: 0.0550 data_time: 0.0073 memory: 699 2022/12/03 09:13:53 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:24 time: 0.0538 data_time: 0.0068 memory: 699 2022/12/03 09:13:54 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:22 time: 0.0549 data_time: 0.0085 memory: 699 2022/12/03 09:13:55 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:01:21 time: 0.0534 data_time: 0.0076 memory: 733 2022/12/03 09:13:56 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:01:20 time: 0.0546 data_time: 0.0053 memory: 733 2022/12/03 09:13:57 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:01:19 time: 0.0514 data_time: 0.0059 memory: 733 2022/12/03 09:13:58 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:01:18 time: 0.0521 data_time: 0.0064 memory: 733 2022/12/03 09:13:59 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:01:17 time: 0.0525 data_time: 0.0075 memory: 733 2022/12/03 09:14:00 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:01:16 time: 0.0537 data_time: 0.0061 memory: 736 2022/12/03 09:14:01 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:14 time: 0.0558 data_time: 0.0061 memory: 736 2022/12/03 09:14:02 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:01:13 time: 0.0530 data_time: 0.0063 memory: 736 2022/12/03 09:14:03 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:01:12 time: 0.0530 data_time: 0.0046 memory: 736 2022/12/03 09:14:04 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:01:11 time: 0.0558 data_time: 0.0089 memory: 736 2022/12/03 09:14:05 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:01:10 time: 0.0552 data_time: 0.0082 memory: 736 2022/12/03 09:14:07 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:01:09 time: 0.0520 data_time: 0.0074 memory: 679 2022/12/03 09:14:08 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:01:08 time: 0.0539 data_time: 0.0081 memory: 679 2022/12/03 09:14:09 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:01:07 time: 0.0504 data_time: 0.0080 memory: 679 2022/12/03 09:14:10 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:01:05 time: 0.0557 data_time: 0.0089 memory: 679 2022/12/03 09:14:11 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:01:04 time: 0.0503 data_time: 0.0075 memory: 679 2022/12/03 09:14:12 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:01:03 time: 0.0523 data_time: 0.0071 memory: 674 2022/12/03 09:14:13 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:01:02 time: 0.0519 data_time: 0.0070 memory: 674 2022/12/03 09:14:14 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:01:01 time: 0.0518 data_time: 0.0091 memory: 674 2022/12/03 09:14:15 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:01:00 time: 0.0541 data_time: 0.0082 memory: 674 2022/12/03 09:14:16 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:00:59 time: 0.0575 data_time: 0.0111 memory: 674 2022/12/03 09:14:17 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:00:58 time: 0.0552 data_time: 0.0116 memory: 673 2022/12/03 09:14:18 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:00:56 time: 0.0519 data_time: 0.0103 memory: 673 2022/12/03 09:14:19 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:00:55 time: 0.0571 data_time: 0.0100 memory: 673 2022/12/03 09:14:20 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:00:54 time: 0.0494 data_time: 0.0055 memory: 673 2022/12/03 09:14:21 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:00:53 time: 0.0521 data_time: 0.0082 memory: 674 2022/12/03 09:14:22 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:00:52 time: 0.0507 data_time: 0.0065 memory: 674 2022/12/03 09:14:23 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:00:51 time: 0.0526 data_time: 0.0070 memory: 674 2022/12/03 09:14:24 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:00:50 time: 0.0476 data_time: 0.0057 memory: 674 2022/12/03 09:14:25 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:00:49 time: 0.0488 data_time: 0.0061 memory: 674 2022/12/03 09:14:27 - mmengine - INFO - Epoch(val) 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0:00:38 time: 0.0533 data_time: 0.0071 memory: 695 2022/12/03 09:14:36 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:00:37 time: 0.0551 data_time: 0.0072 memory: 695 2022/12/03 09:14:37 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:36 time: 0.0550 data_time: 0.0081 memory: 695 2022/12/03 09:14:38 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:00:35 time: 0.0538 data_time: 0.0065 memory: 674 2022/12/03 09:14:39 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:34 time: 0.0551 data_time: 0.0089 memory: 674 2022/12/03 09:14:40 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:33 time: 0.0517 data_time: 0.0067 memory: 674 2022/12/03 09:14:42 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:32 time: 0.0553 data_time: 0.0101 memory: 674 2022/12/03 09:14:43 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:00:31 time: 0.0541 data_time: 0.0091 memory: 708 2022/12/03 09:14:44 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:30 time: 0.0559 data_time: 0.0089 memory: 708 2022/12/03 09:14:45 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:00:28 time: 0.0543 data_time: 0.0053 memory: 708 2022/12/03 09:14:46 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:27 time: 0.0545 data_time: 0.0104 memory: 708 2022/12/03 09:14:47 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:26 time: 0.0516 data_time: 0.0069 memory: 708 2022/12/03 09:14:48 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:25 time: 0.0517 data_time: 0.0074 memory: 708 2022/12/03 09:14:49 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:24 time: 0.0537 data_time: 0.0076 memory: 695 2022/12/03 09:14:50 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:23 time: 0.0491 data_time: 0.0068 memory: 695 2022/12/03 09:14:51 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:22 time: 0.0533 data_time: 0.0102 memory: 695 2022/12/03 09:14:52 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:21 time: 0.0553 data_time: 0.0074 memory: 695 2022/12/03 09:14:53 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:20 time: 0.0512 data_time: 0.0078 memory: 695 2022/12/03 09:14:54 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:18 time: 0.0542 data_time: 0.0051 memory: 674 2022/12/03 09:14:55 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:17 time: 0.0504 data_time: 0.0079 memory: 674 2022/12/03 09:14:56 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:16 time: 0.0529 data_time: 0.0081 memory: 674 2022/12/03 09:14:58 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:15 time: 0.0544 data_time: 0.0061 memory: 733 2022/12/03 09:14:59 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:14 time: 0.0517 data_time: 0.0073 memory: 733 2022/12/03 09:15:00 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:13 time: 0.0543 data_time: 0.0069 memory: 733 2022/12/03 09:15:01 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:12 time: 0.0568 data_time: 0.0073 memory: 733 2022/12/03 09:15:02 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:11 time: 0.0620 data_time: 0.0083 memory: 733 2022/12/03 09:15:03 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:10 time: 0.0571 data_time: 0.0076 memory: 733 2022/12/03 09:15:04 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:08 time: 0.0546 data_time: 0.0077 memory: 733 2022/12/03 09:15:05 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:07 time: 0.0572 data_time: 0.0080 memory: 733 2022/12/03 09:15:07 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:06 time: 0.0557 data_time: 0.0094 memory: 733 2022/12/03 09:15:08 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:05 time: 0.0548 data_time: 0.0080 memory: 733 2022/12/03 09:15:09 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:04 time: 0.0537 data_time: 0.0061 memory: 733 2022/12/03 09:15:10 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:03 time: 0.0549 data_time: 0.0073 memory: 733 2022/12/03 09:15:11 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:02 time: 0.0520 data_time: 0.0091 memory: 733 2022/12/03 09:15:12 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:01 time: 0.0470 data_time: 0.0042 memory: 733 2022/12/03 09:15:13 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.0457 data_time: 0.0068 memory: 733 2022/12/03 09:21:24 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.2166 2022/12/03 09:21:27 - mmengine - INFO - The best checkpoint with 0.2166 mAP/mAP@0.5IOU at 1 epoch is saved to best_mAP/mAP@0.5IOU_epoch_1.pth. 2022/12/03 09:21:34 - mmengine - INFO - Epoch(train) [2][ 20/4451] lr: 5.5197e-02 eta: 3:43:29 time: 0.3643 data_time: 0.0392 memory: 8510 grad_norm: 0.1720 loss: 0.0784 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6667 recall@top3: 0.7971 prec@top3: 0.6087 recall@top5: 0.9058 prec@top5: 0.4261 loss_action_cls: 0.0784 2022/12/03 09:21:41 - mmengine - INFO - Epoch(train) [2][ 40/4451] lr: 5.5399e-02 eta: 3:43:22 time: 0.3348 data_time: 0.0148 memory: 8510 grad_norm: 0.1746 loss: 0.0834 recall@thr=0.5: 0.7535 prec@thr=0.5: 0.7778 recall@top3: 0.8681 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4917 loss_action_cls: 0.0834 2022/12/03 09:21:47 - mmengine - INFO - Epoch(train) [2][ 60/4451] lr: 5.5602e-02 eta: 3:43:15 time: 0.3337 data_time: 0.0135 memory: 8510 grad_norm: 0.1627 loss: 0.0785 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.6587 recall@top3: 0.5952 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.4667 loss_action_cls: 0.0785 2022/12/03 09:21:54 - mmengine - INFO - Epoch(train) [2][ 80/4451] lr: 5.5804e-02 eta: 3:43:08 time: 0.3353 data_time: 0.0127 memory: 8510 grad_norm: 0.1737 loss: 0.0765 recall@thr=0.5: 0.4813 prec@thr=0.5: 0.7639 recall@top3: 0.7271 prec@top3: 0.7639 recall@top5: 0.9271 prec@top5: 0.5917 loss_action_cls: 0.0765 2022/12/03 09:22:01 - mmengine - INFO - Epoch(train) [2][ 100/4451] lr: 5.6006e-02 eta: 3:43:01 time: 0.3330 data_time: 0.0146 memory: 8510 grad_norm: 0.1748 loss: 0.0818 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7105 recall@top3: 0.7719 prec@top3: 0.7018 recall@top5: 0.8509 prec@top5: 0.4737 loss_action_cls: 0.0818 2022/12/03 09:22:07 - mmengine - INFO - Epoch(train) [2][ 120/4451] lr: 5.6208e-02 eta: 3:42:54 time: 0.3332 data_time: 0.0112 memory: 8510 grad_norm: 0.1578 loss: 0.0753 recall@thr=0.5: 0.5145 prec@thr=0.5: 0.6377 recall@top3: 0.7609 prec@top3: 0.6087 recall@top5: 0.9275 prec@top5: 0.4609 loss_action_cls: 0.0753 2022/12/03 09:22:14 - mmengine - INFO - Epoch(train) [2][ 140/4451] lr: 5.6411e-02 eta: 3:42:47 time: 0.3335 data_time: 0.0114 memory: 8510 grad_norm: 0.1609 loss: 0.0722 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.8225 recall@top3: 0.9058 prec@top3: 0.7246 recall@top5: 0.9783 prec@top5: 0.4783 loss_action_cls: 0.0722 2022/12/03 09:22:21 - mmengine - INFO - Epoch(train) [2][ 160/4451] lr: 5.6613e-02 eta: 3:42:40 time: 0.3297 data_time: 0.0128 memory: 8510 grad_norm: 0.1635 loss: 0.0662 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.5312 recall@top3: 0.6979 prec@top3: 0.4792 recall@top5: 0.7500 prec@top5: 0.3125 loss_action_cls: 0.0662 2022/12/03 09:22:27 - mmengine - INFO - Epoch(train) [2][ 180/4451] lr: 5.6815e-02 eta: 3:42:33 time: 0.3333 data_time: 0.0128 memory: 8510 grad_norm: 0.1607 loss: 0.0793 recall@thr=0.5: 0.3922 prec@thr=0.5: 0.5784 recall@top3: 0.8431 prec@top3: 0.7059 recall@top5: 0.9314 prec@top5: 0.4824 loss_action_cls: 0.0793 2022/12/03 09:22:34 - mmengine - INFO - Epoch(train) [2][ 200/4451] lr: 5.7017e-02 eta: 3:42:26 time: 0.3332 data_time: 0.0127 memory: 8510 grad_norm: 0.1639 loss: 0.1007 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6875 recall@top3: 0.6562 prec@top3: 0.5625 recall@top5: 0.7917 prec@top5: 0.4125 loss_action_cls: 0.1007 2022/12/03 09:22:41 - mmengine - INFO - Epoch(train) [2][ 220/4451] lr: 5.7219e-02 eta: 3:42:19 time: 0.3321 data_time: 0.0154 memory: 8510 grad_norm: 0.1516 loss: 0.0790 recall@thr=0.5: 0.5403 prec@thr=0.5: 0.6075 recall@top3: 0.7527 prec@top3: 0.6022 recall@top5: 0.9086 prec@top5: 0.4452 loss_action_cls: 0.0790 2022/12/03 09:22:47 - mmengine - INFO - Epoch(train) [2][ 240/4451] lr: 5.7422e-02 eta: 3:42:12 time: 0.3333 data_time: 0.0120 memory: 8510 grad_norm: 0.1671 loss: 0.0760 recall@thr=0.5: 0.3681 prec@thr=0.5: 0.4028 recall@top3: 0.5278 prec@top3: 0.3611 recall@top5: 0.7361 prec@top5: 0.3250 loss_action_cls: 0.0760 2022/12/03 09:22:54 - mmengine - INFO - Epoch(train) [2][ 260/4451] lr: 5.7624e-02 eta: 3:42:05 time: 0.3341 data_time: 0.0114 memory: 8510 grad_norm: 0.1606 loss: 0.0789 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.6404 recall@top3: 0.7368 prec@top3: 0.5088 recall@top5: 0.8684 prec@top5: 0.3684 loss_action_cls: 0.0789 2022/12/03 09:23:01 - mmengine - INFO - Epoch(train) [2][ 280/4451] lr: 5.7826e-02 eta: 3:41:58 time: 0.3341 data_time: 0.0117 memory: 8510 grad_norm: 0.1757 loss: 0.0842 recall@thr=0.5: 0.4360 prec@thr=0.5: 0.7105 recall@top3: 0.7254 prec@top3: 0.6667 recall@top5: 0.8772 prec@top5: 0.5158 loss_action_cls: 0.0842 2022/12/03 09:23:07 - mmengine - INFO - Epoch(train) [2][ 300/4451] lr: 5.8028e-02 eta: 3:41:52 time: 0.3353 data_time: 0.0150 memory: 8510 grad_norm: 0.1727 loss: 0.0770 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8229 recall@top3: 0.6875 prec@top3: 0.5625 recall@top5: 0.8333 prec@top5: 0.4375 loss_action_cls: 0.0770 2022/12/03 09:23:14 - mmengine - INFO - Epoch(train) [2][ 320/4451] lr: 5.8231e-02 eta: 3:41:45 time: 0.3342 data_time: 0.0127 memory: 8510 grad_norm: 0.1592 loss: 0.0774 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6167 recall@top3: 0.7417 prec@top3: 0.6000 recall@top5: 0.8833 prec@top5: 0.4400 loss_action_cls: 0.0774 2022/12/03 09:23:21 - mmengine - INFO - Epoch(train) [2][ 340/4451] lr: 5.8433e-02 eta: 3:41:38 time: 0.3332 data_time: 0.0116 memory: 8510 grad_norm: 0.1764 loss: 0.0773 recall@thr=0.5: 0.5400 prec@thr=0.5: 0.6933 recall@top3: 0.6867 prec@top3: 0.6667 recall@top5: 0.9200 prec@top5: 0.5200 loss_action_cls: 0.0773 2022/12/03 09:23:27 - mmengine - INFO - Epoch(train) [2][ 360/4451] lr: 5.8635e-02 eta: 3:41:31 time: 0.3334 data_time: 0.0147 memory: 8510 grad_norm: 0.1805 loss: 0.0951 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.5903 recall@top3: 0.7118 prec@top3: 0.5972 recall@top5: 0.9236 prec@top5: 0.4750 loss_action_cls: 0.0951 2022/12/03 09:23:34 - mmengine - INFO - Epoch(train) [2][ 380/4451] lr: 5.8837e-02 eta: 3:41:24 time: 0.3340 data_time: 0.0147 memory: 8510 grad_norm: 0.1679 loss: 0.0814 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6375 recall@top3: 0.7333 prec@top3: 0.6167 recall@top5: 0.8458 prec@top5: 0.4300 loss_action_cls: 0.0814 2022/12/03 09:23:41 - mmengine - INFO - Epoch(train) [2][ 400/4451] lr: 5.9039e-02 eta: 3:41:17 time: 0.3352 data_time: 0.0119 memory: 8510 grad_norm: 0.1720 loss: 0.0808 recall@thr=0.5: 0.4949 prec@thr=0.5: 0.5470 recall@top3: 0.5934 prec@top3: 0.5051 recall@top5: 0.9091 prec@top5: 0.4667 loss_action_cls: 0.0808 2022/12/03 09:23:47 - mmengine - INFO - Epoch(train) [2][ 420/4451] lr: 5.9242e-02 eta: 3:41:11 time: 0.3346 data_time: 0.0124 memory: 8510 grad_norm: 0.1484 loss: 0.0749 recall@thr=0.5: 0.5451 prec@thr=0.5: 0.7535 recall@top3: 0.7222 prec@top3: 0.6528 recall@top5: 0.9062 prec@top5: 0.5000 loss_action_cls: 0.0749 2022/12/03 09:23:54 - mmengine - INFO - Epoch(train) [2][ 440/4451] lr: 5.9444e-02 eta: 3:41:04 time: 0.3348 data_time: 0.0137 memory: 8510 grad_norm: 0.1537 loss: 0.0641 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.8413 recall@top3: 0.8770 prec@top3: 0.6984 recall@top5: 0.9603 prec@top5: 0.4762 loss_action_cls: 0.0641 2022/12/03 09:24:01 - mmengine - INFO - Epoch(train) [2][ 460/4451] lr: 5.9646e-02 eta: 3:40:57 time: 0.3347 data_time: 0.0118 memory: 8510 grad_norm: 0.1640 loss: 0.0772 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.7281 recall@top3: 0.7368 prec@top3: 0.4912 recall@top5: 0.8860 prec@top5: 0.3789 loss_action_cls: 0.0772 2022/12/03 09:24:08 - mmengine - INFO - Epoch(train) [2][ 480/4451] lr: 5.9848e-02 eta: 3:40:51 time: 0.3344 data_time: 0.0152 memory: 8510 grad_norm: 0.1764 loss: 0.0747 recall@thr=0.5: 0.4769 prec@thr=0.5: 0.4722 recall@top3: 0.8102 prec@top3: 0.5370 recall@top5: 0.8750 prec@top5: 0.3667 loss_action_cls: 0.0747 2022/12/03 09:24:14 - mmengine - INFO - Epoch(train) [2][ 500/4451] lr: 6.0051e-02 eta: 3:40:43 time: 0.3321 data_time: 0.0119 memory: 8510 grad_norm: 0.1926 loss: 0.0827 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.6053 recall@top3: 0.7982 prec@top3: 0.5439 recall@top5: 0.9474 prec@top5: 0.3895 loss_action_cls: 0.0827 2022/12/03 09:24:21 - mmengine - INFO - Epoch(train) [2][ 520/4451] lr: 6.0253e-02 eta: 3:40:36 time: 0.3328 data_time: 0.0141 memory: 8510 grad_norm: 0.1789 loss: 0.0688 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.7045 recall@top3: 0.7803 prec@top3: 0.5455 recall@top5: 0.8409 prec@top5: 0.3727 loss_action_cls: 0.0688 2022/12/03 09:24:28 - mmengine - INFO - Epoch(train) [2][ 540/4451] lr: 6.0455e-02 eta: 3:40:29 time: 0.3336 data_time: 0.0137 memory: 8510 grad_norm: 0.1792 loss: 0.0663 recall@thr=0.5: 0.3913 prec@thr=0.5: 0.5000 recall@top3: 0.6957 prec@top3: 0.3768 recall@top5: 0.7609 prec@top5: 0.2435 loss_action_cls: 0.0663 2022/12/03 09:24:31 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:24:34 - mmengine - INFO - Epoch(train) [2][ 560/4451] lr: 6.0657e-02 eta: 3:40:22 time: 0.3330 data_time: 0.0120 memory: 8510 grad_norm: 0.1628 loss: 0.0845 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.6204 recall@top3: 0.6630 prec@top3: 0.7160 recall@top5: 0.8247 prec@top5: 0.5407 loss_action_cls: 0.0845 2022/12/03 09:24:41 - mmengine - INFO - Epoch(train) [2][ 580/4451] lr: 6.0859e-02 eta: 3:40:16 time: 0.3341 data_time: 0.0114 memory: 8510 grad_norm: 0.1611 loss: 0.0568 recall@thr=0.5: 0.4325 prec@thr=0.5: 0.5079 recall@top3: 0.7738 prec@top3: 0.6032 recall@top5: 0.9444 prec@top5: 0.4571 loss_action_cls: 0.0568 2022/12/03 09:24:48 - mmengine - INFO - Epoch(train) [2][ 600/4451] lr: 6.1062e-02 eta: 3:40:09 time: 0.3333 data_time: 0.0115 memory: 8510 grad_norm: 0.1683 loss: 0.0707 recall@thr=0.5: 0.2206 prec@thr=0.5: 0.3039 recall@top3: 0.5343 prec@top3: 0.3529 recall@top5: 0.8235 prec@top5: 0.3412 loss_action_cls: 0.0707 2022/12/03 09:24:54 - mmengine - INFO - Epoch(train) [2][ 620/4451] lr: 6.1264e-02 eta: 3:40:02 time: 0.3346 data_time: 0.0163 memory: 8510 grad_norm: 0.1613 loss: 0.0727 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.6288 recall@top3: 0.8030 prec@top3: 0.6364 recall@top5: 0.9773 prec@top5: 0.4818 loss_action_cls: 0.0727 2022/12/03 09:25:01 - mmengine - INFO - Epoch(train) [2][ 640/4451] lr: 6.1466e-02 eta: 3:39:56 time: 0.3364 data_time: 0.0122 memory: 8510 grad_norm: 0.1629 loss: 0.0713 recall@thr=0.5: 0.6794 prec@thr=0.5: 0.7843 recall@top3: 0.7853 prec@top3: 0.7451 recall@top5: 0.9167 prec@top5: 0.5412 loss_action_cls: 0.0713 2022/12/03 09:25:08 - mmengine - INFO - Epoch(train) [2][ 660/4451] lr: 6.1668e-02 eta: 3:39:49 time: 0.3342 data_time: 0.0149 memory: 8510 grad_norm: 0.1737 loss: 0.0700 recall@thr=0.5: 0.5532 prec@thr=0.5: 0.6468 recall@top3: 0.6722 prec@top3: 0.6190 recall@top5: 0.8460 prec@top5: 0.4667 loss_action_cls: 0.0700 2022/12/03 09:25:14 - mmengine - INFO - Epoch(train) [2][ 680/4451] lr: 6.1871e-02 eta: 3:39:42 time: 0.3368 data_time: 0.0155 memory: 8510 grad_norm: 0.1567 loss: 0.0824 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.5340 recall@top3: 0.7500 prec@top3: 0.6049 recall@top5: 0.9228 prec@top5: 0.4593 loss_action_cls: 0.0824 2022/12/03 09:25:21 - mmengine - INFO - Epoch(train) [2][ 700/4451] lr: 6.2073e-02 eta: 3:39:36 time: 0.3365 data_time: 0.0129 memory: 8510 grad_norm: 0.1552 loss: 0.0785 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.5069 recall@top3: 0.7431 prec@top3: 0.4861 recall@top5: 0.8090 prec@top5: 0.3333 loss_action_cls: 0.0785 2022/12/03 09:25:28 - mmengine - INFO - Epoch(train) [2][ 720/4451] lr: 6.2275e-02 eta: 3:39:29 time: 0.3339 data_time: 0.0153 memory: 8510 grad_norm: 0.1631 loss: 0.0765 recall@thr=0.5: 0.3690 prec@thr=0.5: 0.4524 recall@top3: 0.6905 prec@top3: 0.5714 recall@top5: 0.8393 prec@top5: 0.4143 loss_action_cls: 0.0765 2022/12/03 09:25:34 - mmengine - INFO - Epoch(train) [2][ 740/4451] lr: 6.2477e-02 eta: 3:39:23 time: 0.3357 data_time: 0.0122 memory: 8510 grad_norm: 0.1656 loss: 0.0775 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.4825 recall@top3: 0.7456 prec@top3: 0.4035 recall@top5: 0.8509 prec@top5: 0.2947 loss_action_cls: 0.0775 2022/12/03 09:25:41 - mmengine - INFO - Epoch(train) [2][ 760/4451] lr: 6.2679e-02 eta: 3:39:16 time: 0.3375 data_time: 0.0153 memory: 8510 grad_norm: 0.1661 loss: 0.0759 recall@thr=0.5: 0.3737 prec@thr=0.5: 0.5307 recall@top3: 0.6895 prec@top3: 0.5439 recall@top5: 0.7684 prec@top5: 0.3684 loss_action_cls: 0.0759 2022/12/03 09:25:48 - mmengine - INFO - Epoch(train) [2][ 780/4451] lr: 6.2882e-02 eta: 3:39:10 time: 0.3349 data_time: 0.0155 memory: 8510 grad_norm: 0.1687 loss: 0.0759 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.7372 recall@top3: 0.7949 prec@top3: 0.6923 recall@top5: 0.9872 prec@top5: 0.5231 loss_action_cls: 0.0759 2022/12/03 09:25:55 - mmengine - INFO - Epoch(train) [2][ 800/4451] lr: 6.3084e-02 eta: 3:39:03 time: 0.3334 data_time: 0.0129 memory: 8510 grad_norm: 0.1670 loss: 0.0707 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.5556 recall@top3: 0.8148 prec@top3: 0.5556 recall@top5: 0.9815 prec@top5: 0.3667 loss_action_cls: 0.0707 2022/12/03 09:26:01 - mmengine - INFO - Epoch(train) [2][ 820/4451] lr: 6.3286e-02 eta: 3:38:56 time: 0.3353 data_time: 0.0142 memory: 8510 grad_norm: 0.1518 loss: 0.0725 recall@thr=0.5: 0.4069 prec@thr=0.5: 0.5784 recall@top3: 0.8162 prec@top3: 0.7745 recall@top5: 0.9314 prec@top5: 0.5353 loss_action_cls: 0.0725 2022/12/03 09:26:08 - mmengine - INFO - Epoch(train) [2][ 840/4451] lr: 6.3488e-02 eta: 3:38:50 time: 0.3366 data_time: 0.0153 memory: 8510 grad_norm: 0.1581 loss: 0.0751 recall@thr=0.5: 0.4132 prec@thr=0.5: 0.4653 recall@top3: 0.7743 prec@top3: 0.5417 recall@top5: 0.9375 prec@top5: 0.4083 loss_action_cls: 0.0751 2022/12/03 09:26:15 - mmengine - INFO - Epoch(train) [2][ 860/4451] lr: 6.3691e-02 eta: 3:38:43 time: 0.3336 data_time: 0.0139 memory: 8510 grad_norm: 0.1642 loss: 0.0790 recall@thr=0.5: 0.4698 prec@thr=0.5: 0.6429 recall@top3: 0.8175 prec@top3: 0.7619 recall@top5: 0.8905 prec@top5: 0.5238 loss_action_cls: 0.0790 2022/12/03 09:26:21 - mmengine - INFO - Epoch(train) [2][ 880/4451] lr: 6.3893e-02 eta: 3:38:36 time: 0.3339 data_time: 0.0140 memory: 8510 grad_norm: 0.1760 loss: 0.0741 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.5397 recall@top3: 0.8254 prec@top3: 0.5397 recall@top5: 0.9206 prec@top5: 0.3714 loss_action_cls: 0.0741 2022/12/03 09:26:28 - mmengine - INFO - Epoch(train) [2][ 900/4451] lr: 6.4095e-02 eta: 3:38:29 time: 0.3334 data_time: 0.0133 memory: 8510 grad_norm: 0.1483 loss: 0.0774 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6667 recall@top3: 0.8254 prec@top3: 0.5238 recall@top5: 0.9524 prec@top5: 0.3619 loss_action_cls: 0.0774 2022/12/03 09:26:35 - mmengine - INFO - Epoch(train) [2][ 920/4451] lr: 6.4297e-02 eta: 3:38:22 time: 0.3335 data_time: 0.0129 memory: 8510 grad_norm: 0.1668 loss: 0.0757 recall@thr=0.5: 0.5060 prec@thr=0.5: 0.6071 recall@top3: 0.5952 prec@top3: 0.4524 recall@top5: 0.7143 prec@top5: 0.3286 loss_action_cls: 0.0757 2022/12/03 09:26:41 - mmengine - INFO - Epoch(train) [2][ 940/4451] lr: 6.4499e-02 eta: 3:38:16 time: 0.3347 data_time: 0.0126 memory: 8510 grad_norm: 0.1798 loss: 0.0736 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.4667 recall@top3: 0.7222 prec@top3: 0.4222 recall@top5: 0.7889 prec@top5: 0.2800 loss_action_cls: 0.0736 2022/12/03 09:26:48 - mmengine - INFO - Epoch(train) [2][ 960/4451] lr: 6.4702e-02 eta: 3:38:09 time: 0.3346 data_time: 0.0144 memory: 8510 grad_norm: 0.1782 loss: 0.0620 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.7101 recall@top3: 0.8116 prec@top3: 0.7101 recall@top5: 0.8768 prec@top5: 0.4696 loss_action_cls: 0.0620 2022/12/03 09:26:55 - mmengine - INFO - Epoch(train) [2][ 980/4451] lr: 6.4904e-02 eta: 3:38:02 time: 0.3329 data_time: 0.0136 memory: 8510 grad_norm: 0.1698 loss: 0.0697 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7222 recall@top3: 0.7833 prec@top3: 0.6222 recall@top5: 0.7833 prec@top5: 0.3733 loss_action_cls: 0.0697 2022/12/03 09:27:01 - mmengine - INFO - Epoch(train) [2][1000/4451] lr: 6.5106e-02 eta: 3:37:55 time: 0.3338 data_time: 0.0137 memory: 8510 grad_norm: 0.1638 loss: 0.0692 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8333 recall@top3: 0.7535 prec@top3: 0.7222 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0692 2022/12/03 09:27:08 - mmengine - INFO - Epoch(train) [2][1020/4451] lr: 6.5308e-02 eta: 3:37:49 time: 0.3361 data_time: 0.0138 memory: 8510 grad_norm: 0.1640 loss: 0.0760 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.6250 recall@top3: 0.7788 prec@top3: 0.6410 recall@top5: 0.8590 prec@top5: 0.4231 loss_action_cls: 0.0760 2022/12/03 09:27:15 - mmengine - INFO - Epoch(train) [2][1040/4451] lr: 6.5511e-02 eta: 3:37:42 time: 0.3376 data_time: 0.0146 memory: 8510 grad_norm: 0.1695 loss: 0.0675 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.5000 recall@top3: 0.7130 prec@top3: 0.3519 recall@top5: 0.9444 prec@top5: 0.2889 loss_action_cls: 0.0675 2022/12/03 09:27:22 - mmengine - INFO - Epoch(train) [2][1060/4451] lr: 6.5713e-02 eta: 3:37:36 time: 0.3353 data_time: 0.0166 memory: 8510 grad_norm: 0.1705 loss: 0.0702 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9048 recall@top3: 0.7460 prec@top3: 0.6984 recall@top5: 0.9127 prec@top5: 0.5048 loss_action_cls: 0.0702 2022/12/03 09:27:28 - mmengine - INFO - Epoch(train) [2][1080/4451] lr: 6.5915e-02 eta: 3:37:29 time: 0.3359 data_time: 0.0161 memory: 8510 grad_norm: 0.1617 loss: 0.0741 recall@thr=0.5: 0.3144 prec@thr=0.5: 0.4773 recall@top3: 0.6364 prec@top3: 0.5000 recall@top5: 0.8030 prec@top5: 0.3818 loss_action_cls: 0.0741 2022/12/03 09:27:35 - mmengine - INFO - Epoch(train) [2][1100/4451] lr: 6.6117e-02 eta: 3:37:23 time: 0.3361 data_time: 0.0146 memory: 8510 grad_norm: 0.1630 loss: 0.0644 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7014 recall@top3: 0.8889 prec@top3: 0.6806 recall@top5: 0.9514 prec@top5: 0.4500 loss_action_cls: 0.0644 2022/12/03 09:27:42 - mmengine - INFO - Epoch(train) [2][1120/4451] lr: 6.6320e-02 eta: 3:37:16 time: 0.3349 data_time: 0.0114 memory: 8510 grad_norm: 0.1500 loss: 0.0764 recall@thr=0.5: 0.5608 prec@thr=0.5: 0.5147 recall@top3: 0.6392 prec@top3: 0.5686 recall@top5: 0.8529 prec@top5: 0.4824 loss_action_cls: 0.0764 2022/12/03 09:27:48 - mmengine - INFO - Epoch(train) [2][1140/4451] lr: 6.6522e-02 eta: 3:37:09 time: 0.3339 data_time: 0.0169 memory: 8510 grad_norm: 0.1634 loss: 0.0644 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.6061 recall@top3: 0.6326 prec@top3: 0.5909 recall@top5: 0.8561 prec@top5: 0.4545 loss_action_cls: 0.0644 2022/12/03 09:27:55 - mmengine - INFO - Epoch(train) [2][1160/4451] lr: 6.6724e-02 eta: 3:37:02 time: 0.3342 data_time: 0.0171 memory: 8510 grad_norm: 0.1541 loss: 0.0779 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6548 recall@top3: 0.7857 prec@top3: 0.5714 recall@top5: 0.9405 prec@top5: 0.4143 loss_action_cls: 0.0779 2022/12/03 09:28:02 - mmengine - INFO - Epoch(train) [2][1180/4451] lr: 6.6926e-02 eta: 3:36:55 time: 0.3319 data_time: 0.0135 memory: 8510 grad_norm: 0.1588 loss: 0.0670 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6574 recall@top3: 0.7130 prec@top3: 0.5000 recall@top5: 0.8981 prec@top5: 0.4000 loss_action_cls: 0.0670 2022/12/03 09:28:08 - mmengine - INFO - Epoch(train) [2][1200/4451] lr: 6.7128e-02 eta: 3:36:48 time: 0.3337 data_time: 0.0155 memory: 8510 grad_norm: 0.1552 loss: 0.0672 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7138 recall@top3: 0.7609 prec@top3: 0.6232 recall@top5: 0.8986 prec@top5: 0.4348 loss_action_cls: 0.0672 2022/12/03 09:28:15 - mmengine - INFO - Epoch(train) [2][1220/4451] lr: 6.7331e-02 eta: 3:36:42 time: 0.3364 data_time: 0.0164 memory: 8510 grad_norm: 0.1528 loss: 0.0637 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6542 recall@top3: 0.7750 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4200 loss_action_cls: 0.0637 2022/12/03 09:28:22 - mmengine - INFO - Epoch(train) [2][1240/4451] lr: 6.7533e-02 eta: 3:36:36 time: 0.3392 data_time: 0.0151 memory: 8510 grad_norm: 0.1593 loss: 0.0758 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7500 recall@top3: 0.7188 prec@top3: 0.6042 recall@top5: 0.9167 prec@top5: 0.4875 loss_action_cls: 0.0758 2022/12/03 09:28:29 - mmengine - INFO - Epoch(train) [2][1260/4451] lr: 6.7735e-02 eta: 3:36:29 time: 0.3338 data_time: 0.0160 memory: 8510 grad_norm: 0.1592 loss: 0.0752 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.6014 recall@top3: 0.8696 prec@top3: 0.6232 recall@top5: 0.9638 prec@top5: 0.4348 loss_action_cls: 0.0752 2022/12/03 09:28:35 - mmengine - INFO - Epoch(train) [2][1280/4451] lr: 6.7937e-02 eta: 3:36:22 time: 0.3344 data_time: 0.0163 memory: 8510 grad_norm: 0.1635 loss: 0.0796 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.5606 recall@top3: 0.8106 prec@top3: 0.6212 recall@top5: 0.8636 prec@top5: 0.4000 loss_action_cls: 0.0796 2022/12/03 09:28:42 - mmengine - INFO - Epoch(train) [2][1300/4451] lr: 6.8140e-02 eta: 3:36:15 time: 0.3342 data_time: 0.0133 memory: 8510 grad_norm: 0.1678 loss: 0.0677 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.7000 recall@top3: 0.7083 prec@top3: 0.5667 recall@top5: 0.8333 prec@top5: 0.4100 loss_action_cls: 0.0677 2022/12/03 09:28:49 - mmengine - INFO - Epoch(train) [2][1320/4451] lr: 6.8342e-02 eta: 3:36:09 time: 0.3355 data_time: 0.0169 memory: 8510 grad_norm: 0.1594 loss: 0.0675 recall@thr=0.5: 0.3421 prec@thr=0.5: 0.4211 recall@top3: 0.4430 prec@top3: 0.3509 recall@top5: 0.9035 prec@top5: 0.4000 loss_action_cls: 0.0675 2022/12/03 09:28:55 - mmengine - INFO - Epoch(train) [2][1340/4451] lr: 6.8544e-02 eta: 3:36:02 time: 0.3346 data_time: 0.0149 memory: 8510 grad_norm: 0.1560 loss: 0.0651 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6667 recall@top3: 0.7460 prec@top3: 0.5397 recall@top5: 0.8889 prec@top5: 0.3810 loss_action_cls: 0.0651 2022/12/03 09:29:02 - mmengine - INFO - Epoch(train) [2][1360/4451] lr: 6.8746e-02 eta: 3:35:55 time: 0.3343 data_time: 0.0169 memory: 8510 grad_norm: 0.1687 loss: 0.0670 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.4738 recall@top3: 0.6825 prec@top3: 0.5079 recall@top5: 0.8730 prec@top5: 0.4095 loss_action_cls: 0.0670 2022/12/03 09:29:09 - mmengine - INFO - Epoch(train) [2][1380/4451] lr: 6.8948e-02 eta: 3:35:49 time: 0.3390 data_time: 0.0147 memory: 8510 grad_norm: 0.1538 loss: 0.0728 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.4537 recall@top3: 0.5463 prec@top3: 0.4074 recall@top5: 0.7593 prec@top5: 0.3222 loss_action_cls: 0.0728 2022/12/03 09:29:16 - mmengine - INFO - Epoch(train) [2][1400/4451] lr: 6.9151e-02 eta: 3:35:43 time: 0.3395 data_time: 0.0126 memory: 8510 grad_norm: 0.1581 loss: 0.0770 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.3077 recall@top3: 0.6667 prec@top3: 0.3333 recall@top5: 0.8333 prec@top5: 0.2769 loss_action_cls: 0.0770 2022/12/03 09:29:22 - mmengine - INFO - Epoch(train) [2][1420/4451] lr: 6.9353e-02 eta: 3:35:36 time: 0.3339 data_time: 0.0142 memory: 8510 grad_norm: 0.1586 loss: 0.0800 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.7500 recall@top3: 0.7682 prec@top3: 0.6970 recall@top5: 0.9727 prec@top5: 0.5455 loss_action_cls: 0.0800 2022/12/03 09:29:29 - mmengine - INFO - Epoch(train) [2][1440/4451] lr: 6.9555e-02 eta: 3:35:30 time: 0.3354 data_time: 0.0129 memory: 8510 grad_norm: 0.1618 loss: 0.0688 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5583 recall@top3: 0.8000 prec@top3: 0.4667 recall@top5: 0.8583 prec@top5: 0.3100 loss_action_cls: 0.0688 2022/12/03 09:29:36 - mmengine - INFO - Epoch(train) [2][1460/4451] lr: 6.9757e-02 eta: 3:35:23 time: 0.3349 data_time: 0.0153 memory: 8510 grad_norm: 0.1551 loss: 0.0703 recall@thr=0.5: 0.4222 prec@thr=0.5: 0.7667 recall@top3: 0.7111 prec@top3: 0.5556 recall@top5: 0.8722 prec@top5: 0.4400 loss_action_cls: 0.0703 2022/12/03 09:29:42 - mmengine - INFO - Epoch(train) [2][1480/4451] lr: 6.9960e-02 eta: 3:35:16 time: 0.3336 data_time: 0.0161 memory: 8510 grad_norm: 0.1705 loss: 0.0714 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.9231 recall@top3: 0.7949 prec@top3: 0.6667 recall@top5: 0.8718 prec@top5: 0.4462 loss_action_cls: 0.0714 2022/12/03 09:29:49 - mmengine - INFO - Epoch(train) [2][1500/4451] lr: 7.0162e-02 eta: 3:35:09 time: 0.3347 data_time: 0.0154 memory: 8510 grad_norm: 0.1650 loss: 0.0764 recall@thr=0.5: 0.5492 prec@thr=0.5: 0.5611 recall@top3: 0.7484 prec@top3: 0.6190 recall@top5: 0.8865 prec@top5: 0.4762 loss_action_cls: 0.0764 2022/12/03 09:29:56 - mmengine - INFO - Epoch(train) [2][1520/4451] lr: 7.0364e-02 eta: 3:35:03 time: 0.3345 data_time: 0.0161 memory: 8510 grad_norm: 0.1691 loss: 0.0730 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.6818 recall@top3: 0.6212 prec@top3: 0.5152 recall@top5: 0.8750 prec@top5: 0.4364 loss_action_cls: 0.0730 2022/12/03 09:30:02 - mmengine - INFO - Epoch(train) [2][1540/4451] lr: 7.0566e-02 eta: 3:34:56 time: 0.3329 data_time: 0.0118 memory: 8510 grad_norm: 0.1508 loss: 0.0692 recall@thr=0.5: 0.3878 prec@thr=0.5: 0.5705 recall@top3: 0.5833 prec@top3: 0.5128 recall@top5: 0.8397 prec@top5: 0.4308 loss_action_cls: 0.0692 2022/12/03 09:30:05 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:30:09 - mmengine - INFO - Epoch(train) [2][1560/4451] lr: 7.0768e-02 eta: 3:34:49 time: 0.3371 data_time: 0.0126 memory: 8510 grad_norm: 0.1643 loss: 0.0655 recall@thr=0.5: 0.5219 prec@thr=0.5: 0.6228 recall@top3: 0.6886 prec@top3: 0.4561 recall@top5: 0.7237 prec@top5: 0.2947 loss_action_cls: 0.0655 2022/12/03 09:30:16 - mmengine - INFO - Epoch(train) [2][1580/4451] lr: 7.0971e-02 eta: 3:34:43 time: 0.3335 data_time: 0.0167 memory: 8510 grad_norm: 0.1459 loss: 0.0649 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.4583 recall@top3: 0.6806 prec@top3: 0.5000 recall@top5: 0.7500 prec@top5: 0.3500 loss_action_cls: 0.0649 2022/12/03 09:30:23 - mmengine - INFO - Epoch(train) [2][1600/4451] lr: 7.1173e-02 eta: 3:34:36 time: 0.3362 data_time: 0.0166 memory: 8510 grad_norm: 0.1567 loss: 0.0797 recall@thr=0.5: 0.4519 prec@thr=0.5: 0.4385 recall@top3: 0.6506 prec@top3: 0.5513 recall@top5: 0.7788 prec@top5: 0.4154 loss_action_cls: 0.0797 2022/12/03 09:30:29 - mmengine - INFO - Epoch(train) [2][1620/4451] lr: 7.1375e-02 eta: 3:34:29 time: 0.3345 data_time: 0.0137 memory: 8510 grad_norm: 0.1631 loss: 0.0683 recall@thr=0.5: 0.3580 prec@thr=0.5: 0.5926 recall@top3: 0.7253 prec@top3: 0.5062 recall@top5: 0.8889 prec@top5: 0.3926 loss_action_cls: 0.0683 2022/12/03 09:30:36 - mmengine - INFO - Epoch(train) [2][1640/4451] lr: 7.1577e-02 eta: 3:34:23 time: 0.3371 data_time: 0.0160 memory: 8510 grad_norm: 0.1698 loss: 0.0690 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.6667 recall@top3: 0.7464 prec@top3: 0.6812 recall@top5: 0.8551 prec@top5: 0.4783 loss_action_cls: 0.0690 2022/12/03 09:30:43 - mmengine - INFO - Epoch(train) [2][1660/4451] lr: 7.1780e-02 eta: 3:34:16 time: 0.3332 data_time: 0.0165 memory: 8510 grad_norm: 0.1527 loss: 0.0672 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8229 recall@top3: 0.9375 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0672 2022/12/03 09:30:49 - mmengine - INFO - Epoch(train) [2][1680/4451] lr: 7.1982e-02 eta: 3:34:09 time: 0.3330 data_time: 0.0148 memory: 8510 grad_norm: 0.1552 loss: 0.0622 recall@thr=0.5: 0.5432 prec@thr=0.5: 0.5988 recall@top3: 0.7469 prec@top3: 0.4568 recall@top5: 0.8519 prec@top5: 0.3259 loss_action_cls: 0.0622 2022/12/03 09:30:56 - mmengine - INFO - Epoch(train) [2][1700/4451] lr: 7.2184e-02 eta: 3:34:02 time: 0.3335 data_time: 0.0129 memory: 8510 grad_norm: 0.1553 loss: 0.0731 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.6204 recall@top3: 0.7176 prec@top3: 0.5926 recall@top5: 0.7917 prec@top5: 0.4111 loss_action_cls: 0.0731 2022/12/03 09:31:03 - mmengine - INFO - Epoch(train) [2][1720/4451] lr: 7.2386e-02 eta: 3:33:55 time: 0.3340 data_time: 0.0134 memory: 8510 grad_norm: 0.1616 loss: 0.0724 recall@thr=0.5: 0.5708 prec@thr=0.5: 0.6944 recall@top3: 0.7167 prec@top3: 0.5556 recall@top5: 0.9583 prec@top5: 0.4333 loss_action_cls: 0.0724 2022/12/03 09:31:09 - mmengine - INFO - Epoch(train) [2][1740/4451] lr: 7.2588e-02 eta: 3:33:49 time: 0.3342 data_time: 0.0142 memory: 8510 grad_norm: 0.1564 loss: 0.0743 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6250 recall@top3: 0.7708 prec@top3: 0.6250 recall@top5: 0.8889 prec@top5: 0.4333 loss_action_cls: 0.0743 2022/12/03 09:31:16 - mmengine - INFO - Epoch(train) [2][1760/4451] lr: 7.2791e-02 eta: 3:33:42 time: 0.3341 data_time: 0.0118 memory: 8510 grad_norm: 0.1695 loss: 0.0698 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7167 recall@top3: 0.7167 prec@top3: 0.7083 recall@top5: 0.8646 prec@top5: 0.5500 loss_action_cls: 0.0698 2022/12/03 09:31:23 - mmengine - INFO - Epoch(train) [2][1780/4451] lr: 7.2993e-02 eta: 3:33:35 time: 0.3346 data_time: 0.0133 memory: 8510 grad_norm: 0.1558 loss: 0.0653 recall@thr=0.5: 0.5515 prec@thr=0.5: 0.6136 recall@top3: 0.6235 prec@top3: 0.5455 recall@top5: 0.7591 prec@top5: 0.4182 loss_action_cls: 0.0653 2022/12/03 09:31:29 - mmengine - INFO - Epoch(train) [2][1800/4451] lr: 7.3195e-02 eta: 3:33:28 time: 0.3351 data_time: 0.0121 memory: 8510 grad_norm: 0.1572 loss: 0.0678 recall@thr=0.5: 0.6845 prec@thr=0.5: 0.7619 recall@top3: 0.7917 prec@top3: 0.6190 recall@top5: 0.8571 prec@top5: 0.4143 loss_action_cls: 0.0678 2022/12/03 09:31:36 - mmengine - INFO - Epoch(train) [2][1820/4451] lr: 7.3397e-02 eta: 3:33:22 time: 0.3337 data_time: 0.0122 memory: 8510 grad_norm: 0.1483 loss: 0.0720 recall@thr=0.5: 0.5038 prec@thr=0.5: 0.6402 recall@top3: 0.6667 prec@top3: 0.6667 recall@top5: 0.9015 prec@top5: 0.5364 loss_action_cls: 0.0720 2022/12/03 09:31:43 - mmengine - INFO - Epoch(train) [2][1840/4451] lr: 7.3600e-02 eta: 3:33:15 time: 0.3336 data_time: 0.0112 memory: 8510 grad_norm: 0.1527 loss: 0.0775 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8070 recall@top3: 0.8026 prec@top3: 0.5789 recall@top5: 0.9474 prec@top5: 0.4316 loss_action_cls: 0.0775 2022/12/03 09:31:50 - mmengine - INFO - Epoch(train) [2][1860/4451] lr: 7.3802e-02 eta: 3:33:08 time: 0.3361 data_time: 0.0119 memory: 8510 grad_norm: 0.1633 loss: 0.0645 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.5870 recall@top3: 0.5797 prec@top3: 0.4203 recall@top5: 0.8841 prec@top5: 0.3565 loss_action_cls: 0.0645 2022/12/03 09:31:56 - mmengine - INFO - Epoch(train) [2][1880/4451] lr: 7.4004e-02 eta: 3:33:01 time: 0.3339 data_time: 0.0117 memory: 8510 grad_norm: 0.1646 loss: 0.0690 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7250 recall@top3: 0.7361 prec@top3: 0.7000 recall@top5: 0.8278 prec@top5: 0.4867 loss_action_cls: 0.0690 2022/12/03 09:32:03 - mmengine - INFO - Epoch(train) [2][1900/4451] lr: 7.4206e-02 eta: 3:32:55 time: 0.3338 data_time: 0.0124 memory: 8510 grad_norm: 0.1523 loss: 0.0693 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.4687 recall@top3: 0.7188 prec@top3: 0.5000 recall@top5: 0.8125 prec@top5: 0.3375 loss_action_cls: 0.0693 2022/12/03 09:32:10 - mmengine - INFO - Epoch(train) [2][1920/4451] lr: 7.4408e-02 eta: 3:32:48 time: 0.3342 data_time: 0.0165 memory: 8510 grad_norm: 0.1453 loss: 0.0645 recall@thr=0.5: 0.3016 prec@thr=0.5: 0.3571 recall@top3: 0.6381 prec@top3: 0.4921 recall@top5: 0.8698 prec@top5: 0.4000 loss_action_cls: 0.0645 2022/12/03 09:32:16 - mmengine - INFO - Epoch(train) [2][1940/4451] lr: 7.4611e-02 eta: 3:32:41 time: 0.3356 data_time: 0.0120 memory: 8510 grad_norm: 0.1553 loss: 0.0788 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6042 recall@top3: 0.7552 prec@top3: 0.5208 recall@top5: 0.8646 prec@top5: 0.3625 loss_action_cls: 0.0788 2022/12/03 09:32:23 - mmengine - INFO - Epoch(train) [2][1960/4451] lr: 7.4813e-02 eta: 3:32:35 time: 0.3341 data_time: 0.0123 memory: 8510 grad_norm: 0.1554 loss: 0.0668 recall@thr=0.5: 0.3994 prec@thr=0.5: 0.5805 recall@top3: 0.7069 prec@top3: 0.5747 recall@top5: 0.8793 prec@top5: 0.4345 loss_action_cls: 0.0668 2022/12/03 09:32:30 - mmengine - INFO - Epoch(train) [2][1980/4451] lr: 7.5015e-02 eta: 3:32:28 time: 0.3344 data_time: 0.0138 memory: 8510 grad_norm: 0.1540 loss: 0.0740 recall@thr=0.5: 0.4071 prec@thr=0.5: 0.6026 recall@top3: 0.6795 prec@top3: 0.6026 recall@top5: 0.8942 prec@top5: 0.4538 loss_action_cls: 0.0740 2022/12/03 09:32:36 - mmengine - INFO - Epoch(train) [2][2000/4451] lr: 7.5217e-02 eta: 3:32:21 time: 0.3359 data_time: 0.0119 memory: 8510 grad_norm: 0.1413 loss: 0.0734 recall@thr=0.5: 0.5051 prec@thr=0.5: 0.7609 recall@top3: 0.8290 prec@top3: 0.8116 recall@top5: 0.9681 prec@top5: 0.5826 loss_action_cls: 0.0734 2022/12/03 09:32:43 - mmengine - INFO - Epoch(train) [2][2020/4451] lr: 7.5420e-02 eta: 3:32:14 time: 0.3329 data_time: 0.0123 memory: 8510 grad_norm: 0.1480 loss: 0.0708 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.5882 recall@top3: 0.6520 prec@top3: 0.5686 recall@top5: 0.7990 prec@top5: 0.4353 loss_action_cls: 0.0708 2022/12/03 09:32:50 - mmengine - INFO - Epoch(train) [2][2040/4451] lr: 7.5622e-02 eta: 3:32:07 time: 0.3333 data_time: 0.0112 memory: 8510 grad_norm: 0.1500 loss: 0.0689 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.8841 recall@top3: 0.8696 prec@top3: 0.5942 recall@top5: 0.9384 prec@top5: 0.4000 loss_action_cls: 0.0689 2022/12/03 09:32:56 - mmengine - INFO - Epoch(train) [2][2060/4451] lr: 7.5824e-02 eta: 3:32:01 time: 0.3340 data_time: 0.0129 memory: 8510 grad_norm: 0.1587 loss: 0.0661 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.4583 recall@top3: 0.7083 prec@top3: 0.5208 recall@top5: 0.8333 prec@top5: 0.3750 loss_action_cls: 0.0661 2022/12/03 09:33:03 - mmengine - INFO - Epoch(train) [2][2080/4451] lr: 7.6026e-02 eta: 3:31:54 time: 0.3340 data_time: 0.0115 memory: 8510 grad_norm: 0.1560 loss: 0.0713 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6042 recall@top3: 0.6771 prec@top3: 0.4792 recall@top5: 0.8438 prec@top5: 0.3750 loss_action_cls: 0.0713 2022/12/03 09:33:10 - mmengine - INFO - Epoch(train) [2][2100/4451] lr: 7.6229e-02 eta: 3:31:47 time: 0.3325 data_time: 0.0117 memory: 8510 grad_norm: 0.1614 loss: 0.0674 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7833 recall@top3: 0.8118 prec@top3: 0.8056 recall@top5: 0.9313 prec@top5: 0.5667 loss_action_cls: 0.0674 2022/12/03 09:33:16 - mmengine - INFO - Epoch(train) [2][2120/4451] lr: 7.6431e-02 eta: 3:31:40 time: 0.3368 data_time: 0.0115 memory: 8510 grad_norm: 0.1569 loss: 0.0734 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6364 recall@top3: 0.6212 prec@top3: 0.4848 recall@top5: 0.7727 prec@top5: 0.3818 loss_action_cls: 0.0734 2022/12/03 09:33:23 - mmengine - INFO - Epoch(train) [2][2140/4451] lr: 7.6633e-02 eta: 3:31:33 time: 0.3317 data_time: 0.0139 memory: 8510 grad_norm: 0.1746 loss: 0.0703 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7108 recall@top3: 0.7255 prec@top3: 0.5294 recall@top5: 0.8627 prec@top5: 0.4000 loss_action_cls: 0.0703 2022/12/03 09:33:30 - mmengine - INFO - Epoch(train) [2][2160/4451] lr: 7.6835e-02 eta: 3:31:27 time: 0.3339 data_time: 0.0129 memory: 8510 grad_norm: 0.1671 loss: 0.0754 recall@thr=0.5: 0.7379 prec@thr=0.5: 0.8190 recall@top3: 0.8511 prec@top3: 0.7471 recall@top5: 0.9310 prec@top5: 0.5103 loss_action_cls: 0.0754 2022/12/03 09:33:37 - mmengine - INFO - Epoch(train) [2][2180/4451] lr: 7.7037e-02 eta: 3:31:20 time: 0.3361 data_time: 0.0138 memory: 8510 grad_norm: 0.1488 loss: 0.0655 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7554 recall@top3: 0.7661 prec@top3: 0.6129 recall@top5: 0.9516 prec@top5: 0.4710 loss_action_cls: 0.0655 2022/12/03 09:33:43 - mmengine - INFO - Epoch(train) [2][2200/4451] lr: 7.7240e-02 eta: 3:31:13 time: 0.3349 data_time: 0.0116 memory: 8510 grad_norm: 0.1645 loss: 0.0667 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7222 recall@top3: 0.9222 prec@top3: 0.6889 recall@top5: 0.9222 prec@top5: 0.4133 loss_action_cls: 0.0667 2022/12/03 09:33:50 - mmengine - INFO - Epoch(train) [2][2220/4451] lr: 7.7442e-02 eta: 3:31:06 time: 0.3316 data_time: 0.0157 memory: 8510 grad_norm: 0.1504 loss: 0.0677 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.6000 recall@top3: 0.5917 prec@top3: 0.4333 recall@top5: 0.6750 prec@top5: 0.3200 loss_action_cls: 0.0677 2022/12/03 09:33:57 - mmengine - INFO - Epoch(train) [2][2240/4451] lr: 7.7644e-02 eta: 3:30:59 time: 0.3334 data_time: 0.0140 memory: 8510 grad_norm: 0.1677 loss: 0.0668 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6798 recall@top3: 0.7719 prec@top3: 0.5439 recall@top5: 0.9123 prec@top5: 0.4105 loss_action_cls: 0.0668 2022/12/03 09:34:03 - mmengine - INFO - Epoch(train) [2][2260/4451] lr: 7.7846e-02 eta: 3:30:53 time: 0.3351 data_time: 0.0127 memory: 8510 grad_norm: 0.1496 loss: 0.0733 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.6944 recall@top3: 0.9352 prec@top3: 0.5926 recall@top5: 0.9861 prec@top5: 0.3889 loss_action_cls: 0.0733 2022/12/03 09:34:10 - mmengine - INFO - Epoch(train) [2][2280/4451] lr: 7.8049e-02 eta: 3:30:46 time: 0.3334 data_time: 0.0129 memory: 8510 grad_norm: 0.1608 loss: 0.0708 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.6410 recall@top3: 0.7821 prec@top3: 0.6026 recall@top5: 0.9135 prec@top5: 0.4385 loss_action_cls: 0.0708 2022/12/03 09:34:17 - mmengine - INFO - Epoch(train) [2][2300/4451] lr: 7.8251e-02 eta: 3:30:39 time: 0.3352 data_time: 0.0150 memory: 8510 grad_norm: 0.1386 loss: 0.0600 recall@thr=0.5: 0.5285 prec@thr=0.5: 0.4959 recall@top3: 0.7114 prec@top3: 0.4715 recall@top5: 0.8720 prec@top5: 0.3512 loss_action_cls: 0.0600 2022/12/03 09:34:23 - mmengine - INFO - Epoch(train) [2][2320/4451] lr: 7.8453e-02 eta: 3:30:33 time: 0.3338 data_time: 0.0154 memory: 8510 grad_norm: 0.1522 loss: 0.0696 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6111 recall@top3: 0.8796 prec@top3: 0.5926 recall@top5: 0.8981 prec@top5: 0.3667 loss_action_cls: 0.0696 2022/12/03 09:34:30 - mmengine - INFO - Epoch(train) [2][2340/4451] lr: 7.8655e-02 eta: 3:30:26 time: 0.3352 data_time: 0.0121 memory: 8510 grad_norm: 0.1548 loss: 0.0711 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5583 recall@top3: 0.6875 prec@top3: 0.5833 recall@top5: 0.8667 prec@top5: 0.4600 loss_action_cls: 0.0711 2022/12/03 09:34:37 - mmengine - INFO - Epoch(train) [2][2360/4451] lr: 7.8857e-02 eta: 3:30:19 time: 0.3349 data_time: 0.0136 memory: 8510 grad_norm: 0.1501 loss: 0.0684 recall@thr=0.5: 0.5035 prec@thr=0.5: 0.5833 recall@top3: 0.6979 prec@top3: 0.6111 recall@top5: 0.7986 prec@top5: 0.4250 loss_action_cls: 0.0684 2022/12/03 09:34:43 - mmengine - INFO - Epoch(train) [2][2380/4451] lr: 7.9060e-02 eta: 3:30:13 time: 0.3353 data_time: 0.0157 memory: 8510 grad_norm: 0.1536 loss: 0.0703 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.5111 recall@top3: 0.7833 prec@top3: 0.5556 recall@top5: 0.9222 prec@top5: 0.4133 loss_action_cls: 0.0703 2022/12/03 09:34:50 - mmengine - INFO - Epoch(train) [2][2400/4451] lr: 7.9262e-02 eta: 3:30:06 time: 0.3348 data_time: 0.0133 memory: 8510 grad_norm: 0.1555 loss: 0.0656 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.6763 recall@top3: 0.8269 prec@top3: 0.7179 recall@top5: 0.9038 prec@top5: 0.4769 loss_action_cls: 0.0656 2022/12/03 09:34:57 - mmengine - INFO - Epoch(train) [2][2420/4451] lr: 7.9464e-02 eta: 3:29:59 time: 0.3329 data_time: 0.0124 memory: 8510 grad_norm: 0.1471 loss: 0.0733 recall@thr=0.5: 0.4818 prec@thr=0.5: 0.6042 recall@top3: 0.7109 prec@top3: 0.4687 recall@top5: 0.9089 prec@top5: 0.3625 loss_action_cls: 0.0733 2022/12/03 09:35:03 - mmengine - INFO - Epoch(train) [2][2440/4451] lr: 7.9666e-02 eta: 3:29:52 time: 0.3344 data_time: 0.0120 memory: 8510 grad_norm: 0.1465 loss: 0.0844 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.6842 recall@top3: 0.7456 prec@top3: 0.5789 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0844 2022/12/03 09:35:10 - mmengine - INFO - Epoch(train) [2][2460/4451] lr: 7.9869e-02 eta: 3:29:45 time: 0.3340 data_time: 0.0118 memory: 8510 grad_norm: 0.1466 loss: 0.0694 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5139 recall@top3: 0.7743 prec@top3: 0.5278 recall@top5: 0.8993 prec@top5: 0.3750 loss_action_cls: 0.0694 2022/12/03 09:35:17 - mmengine - INFO - Epoch(train) [2][2480/4451] lr: 8.0071e-02 eta: 3:29:39 time: 0.3365 data_time: 0.0132 memory: 8510 grad_norm: 0.1501 loss: 0.0708 recall@thr=0.5: 0.3951 prec@thr=0.5: 0.5486 recall@top3: 0.6639 prec@top3: 0.6528 recall@top5: 0.9014 prec@top5: 0.5417 loss_action_cls: 0.0708 2022/12/03 09:35:24 - mmengine - INFO - Epoch(train) [2][2500/4451] lr: 8.0273e-02 eta: 3:29:32 time: 0.3363 data_time: 0.0119 memory: 8510 grad_norm: 0.1463 loss: 0.0717 recall@thr=0.5: 0.4457 prec@thr=0.5: 0.4783 recall@top3: 0.5906 prec@top3: 0.4493 recall@top5: 0.7138 prec@top5: 0.3391 loss_action_cls: 0.0717 2022/12/03 09:35:30 - mmengine - INFO - Epoch(train) [2][2520/4451] lr: 8.0475e-02 eta: 3:29:26 time: 0.3339 data_time: 0.0130 memory: 8510 grad_norm: 0.1449 loss: 0.0662 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.8114 recall@top3: 0.6535 prec@top3: 0.5789 recall@top5: 0.8860 prec@top5: 0.4737 loss_action_cls: 0.0662 2022/12/03 09:35:37 - mmengine - INFO - Epoch(train) [2][2540/4451] lr: 8.0677e-02 eta: 3:29:19 time: 0.3365 data_time: 0.0127 memory: 8510 grad_norm: 0.1433 loss: 0.0677 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.6159 recall@top3: 0.7971 prec@top3: 0.5362 recall@top5: 0.8406 prec@top5: 0.3391 loss_action_cls: 0.0677 2022/12/03 09:35:40 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:35:44 - mmengine - INFO - Epoch(train) [2][2560/4451] lr: 8.0880e-02 eta: 3:29:12 time: 0.3339 data_time: 0.0131 memory: 8510 grad_norm: 0.1462 loss: 0.0764 recall@thr=0.5: 0.4674 prec@thr=0.5: 0.6594 recall@top3: 0.6377 prec@top3: 0.5217 recall@top5: 0.9493 prec@top5: 0.4696 loss_action_cls: 0.0764 2022/12/03 09:35:50 - mmengine - INFO - Epoch(train) [2][2580/4451] lr: 8.1082e-02 eta: 3:29:06 time: 0.3349 data_time: 0.0131 memory: 8510 grad_norm: 0.1468 loss: 0.0651 recall@thr=0.5: 0.4063 prec@thr=0.5: 0.5833 recall@top3: 0.7188 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0651 2022/12/03 09:35:57 - mmengine - INFO - Epoch(train) [2][2600/4451] lr: 8.1284e-02 eta: 3:28:59 time: 0.3347 data_time: 0.0115 memory: 8510 grad_norm: 0.1442 loss: 0.0691 recall@thr=0.5: 0.4861 prec@thr=0.5: 0.7569 recall@top3: 0.7292 prec@top3: 0.6111 recall@top5: 0.8681 prec@top5: 0.4417 loss_action_cls: 0.0691 2022/12/03 09:36:04 - mmengine - INFO - Epoch(train) [2][2620/4451] lr: 8.1486e-02 eta: 3:28:52 time: 0.3329 data_time: 0.0137 memory: 8510 grad_norm: 0.1540 loss: 0.0667 recall@thr=0.5: 0.5776 prec@thr=0.5: 0.7011 recall@top3: 0.7931 prec@top3: 0.7356 recall@top5: 0.8908 prec@top5: 0.5103 loss_action_cls: 0.0667 2022/12/03 09:36:10 - mmengine - INFO - Epoch(train) [2][2640/4451] lr: 8.1689e-02 eta: 3:28:45 time: 0.3338 data_time: 0.0107 memory: 8510 grad_norm: 0.1556 loss: 0.0619 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7583 recall@top3: 0.7833 prec@top3: 0.6167 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0619 2022/12/03 09:36:17 - mmengine - INFO - Epoch(train) [2][2660/4451] lr: 8.1891e-02 eta: 3:28:39 time: 0.3347 data_time: 0.0116 memory: 8510 grad_norm: 0.1483 loss: 0.0677 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.7368 recall@top3: 0.6667 prec@top3: 0.6140 recall@top5: 0.8596 prec@top5: 0.4737 loss_action_cls: 0.0677 2022/12/03 09:36:24 - mmengine - INFO - Epoch(train) [2][2680/4451] lr: 8.2093e-02 eta: 3:28:32 time: 0.3351 data_time: 0.0128 memory: 8510 grad_norm: 0.1532 loss: 0.0722 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.7105 recall@top3: 0.8421 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0722 2022/12/03 09:36:30 - mmengine - INFO - Epoch(train) [2][2700/4451] lr: 8.2295e-02 eta: 3:28:25 time: 0.3332 data_time: 0.0131 memory: 8510 grad_norm: 0.1532 loss: 0.0565 recall@thr=0.5: 0.3843 prec@thr=0.5: 0.4444 recall@top3: 0.6528 prec@top3: 0.5370 recall@top5: 0.8241 prec@top5: 0.3889 loss_action_cls: 0.0565 2022/12/03 09:36:37 - mmengine - INFO - Epoch(train) [2][2720/4451] lr: 8.2497e-02 eta: 3:28:18 time: 0.3346 data_time: 0.0139 memory: 8510 grad_norm: 0.1498 loss: 0.0633 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.7281 recall@top3: 0.7491 prec@top3: 0.6667 recall@top5: 0.8649 prec@top5: 0.4737 loss_action_cls: 0.0633 2022/12/03 09:36:44 - mmengine - INFO - Epoch(train) [2][2740/4451] lr: 8.2700e-02 eta: 3:28:12 time: 0.3368 data_time: 0.0145 memory: 8510 grad_norm: 0.1518 loss: 0.0559 recall@thr=0.5: 0.4246 prec@thr=0.5: 0.6349 recall@top3: 0.5952 prec@top3: 0.6032 recall@top5: 0.8810 prec@top5: 0.5238 loss_action_cls: 0.0559 2022/12/03 09:36:51 - mmengine - INFO - Epoch(train) [2][2760/4451] lr: 8.2902e-02 eta: 3:28:05 time: 0.3336 data_time: 0.0125 memory: 8510 grad_norm: 0.1511 loss: 0.0650 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6667 recall@top3: 0.8542 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4167 loss_action_cls: 0.0650 2022/12/03 09:36:57 - mmengine - INFO - Epoch(train) [2][2780/4451] lr: 8.3104e-02 eta: 3:27:58 time: 0.3353 data_time: 0.0122 memory: 8510 grad_norm: 0.1508 loss: 0.0608 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6354 recall@top3: 0.7865 prec@top3: 0.5729 recall@top5: 0.8750 prec@top5: 0.3875 loss_action_cls: 0.0608 2022/12/03 09:37:04 - mmengine - INFO - Epoch(train) [2][2800/4451] lr: 8.3306e-02 eta: 3:27:52 time: 0.3341 data_time: 0.0135 memory: 8510 grad_norm: 0.1397 loss: 0.0631 recall@thr=0.5: 0.4035 prec@thr=0.5: 0.6667 recall@top3: 0.6053 prec@top3: 0.4737 recall@top5: 0.8860 prec@top5: 0.4211 loss_action_cls: 0.0631 2022/12/03 09:37:11 - mmengine - INFO - Epoch(train) [2][2820/4451] lr: 8.3509e-02 eta: 3:27:45 time: 0.3331 data_time: 0.0156 memory: 8510 grad_norm: 0.1481 loss: 0.0591 recall@thr=0.5: 0.6151 prec@thr=0.5: 0.7540 recall@top3: 0.9246 prec@top3: 0.7143 recall@top5: 0.9881 prec@top5: 0.4667 loss_action_cls: 0.0591 2022/12/03 09:37:17 - mmengine - INFO - Epoch(train) [2][2840/4451] lr: 8.3711e-02 eta: 3:27:38 time: 0.3356 data_time: 0.0130 memory: 8510 grad_norm: 0.1476 loss: 0.0659 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.8116 recall@top3: 0.7899 prec@top3: 0.8261 recall@top5: 0.8986 prec@top5: 0.5913 loss_action_cls: 0.0659 2022/12/03 09:37:24 - mmengine - INFO - Epoch(train) [2][2860/4451] lr: 8.3913e-02 eta: 3:27:31 time: 0.3341 data_time: 0.0144 memory: 8510 grad_norm: 0.1454 loss: 0.0577 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8148 recall@top3: 0.8704 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0577 2022/12/03 09:37:31 - mmengine - INFO - Epoch(train) [2][2880/4451] lr: 8.4115e-02 eta: 3:27:25 time: 0.3355 data_time: 0.0123 memory: 8510 grad_norm: 0.1448 loss: 0.0667 recall@thr=0.5: 0.4203 prec@thr=0.5: 0.6014 recall@top3: 0.8696 prec@top3: 0.6667 recall@top5: 0.9855 prec@top5: 0.4522 loss_action_cls: 0.0667 2022/12/03 09:37:37 - mmengine - INFO - Epoch(train) [2][2900/4451] lr: 8.4317e-02 eta: 3:27:18 time: 0.3329 data_time: 0.0158 memory: 8510 grad_norm: 0.1502 loss: 0.0675 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8889 recall@top3: 0.8796 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0675 2022/12/03 09:37:44 - mmengine - INFO - Epoch(train) [2][2920/4451] lr: 8.4520e-02 eta: 3:27:11 time: 0.3354 data_time: 0.0129 memory: 8510 grad_norm: 0.1450 loss: 0.0582 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.7436 recall@top3: 0.8077 prec@top3: 0.5128 recall@top5: 0.8846 prec@top5: 0.3538 loss_action_cls: 0.0582 2022/12/03 09:37:51 - mmengine - INFO - Epoch(train) [2][2940/4451] lr: 8.4722e-02 eta: 3:27:04 time: 0.3331 data_time: 0.0129 memory: 8510 grad_norm: 0.1489 loss: 0.0645 recall@thr=0.5: 0.5442 prec@thr=0.5: 0.7628 recall@top3: 0.6782 prec@top3: 0.6026 recall@top5: 0.7647 prec@top5: 0.4154 loss_action_cls: 0.0645 2022/12/03 09:37:57 - mmengine - INFO - Epoch(train) [2][2960/4451] lr: 8.4924e-02 eta: 3:26:58 time: 0.3349 data_time: 0.0125 memory: 8510 grad_norm: 0.1551 loss: 0.0672 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.6230 recall@top3: 0.6349 prec@top3: 0.5238 recall@top5: 0.8690 prec@top5: 0.4286 loss_action_cls: 0.0672 2022/12/03 09:38:04 - mmengine - INFO - Epoch(train) [2][2980/4451] lr: 8.5126e-02 eta: 3:26:51 time: 0.3347 data_time: 0.0117 memory: 8510 grad_norm: 0.1438 loss: 0.0637 recall@thr=0.5: 0.4490 prec@thr=0.5: 0.6396 recall@top3: 0.6396 prec@top3: 0.6458 recall@top5: 0.8177 prec@top5: 0.5125 loss_action_cls: 0.0637 2022/12/03 09:38:11 - mmengine - INFO - Epoch(train) [2][3000/4451] lr: 8.5329e-02 eta: 3:26:44 time: 0.3330 data_time: 0.0120 memory: 8510 grad_norm: 0.1456 loss: 0.0662 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9375 recall@top3: 0.9167 prec@top3: 0.7083 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0662 2022/12/03 09:38:17 - mmengine - INFO - Epoch(train) [2][3020/4451] lr: 8.5531e-02 eta: 3:26:37 time: 0.3331 data_time: 0.0138 memory: 8510 grad_norm: 0.1501 loss: 0.0601 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.5250 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 0.8167 prec@top5: 0.3400 loss_action_cls: 0.0601 2022/12/03 09:38:24 - mmengine - INFO - Epoch(train) [2][3040/4451] lr: 8.5733e-02 eta: 3:26:31 time: 0.3334 data_time: 0.0149 memory: 8510 grad_norm: 0.1425 loss: 0.0718 recall@thr=0.5: 0.4342 prec@thr=0.5: 0.5439 recall@top3: 0.6053 prec@top3: 0.5263 recall@top5: 0.8728 prec@top5: 0.4211 loss_action_cls: 0.0718 2022/12/03 09:38:31 - mmengine - INFO - Epoch(train) [2][3060/4451] lr: 8.5935e-02 eta: 3:26:24 time: 0.3331 data_time: 0.0159 memory: 8510 grad_norm: 0.1507 loss: 0.0690 recall@thr=0.5: 0.4561 prec@thr=0.5: 0.5614 recall@top3: 0.6342 prec@top3: 0.5263 recall@top5: 0.7798 prec@top5: 0.4105 loss_action_cls: 0.0690 2022/12/03 09:38:37 - mmengine - INFO - Epoch(train) [2][3080/4451] lr: 8.6138e-02 eta: 3:26:17 time: 0.3330 data_time: 0.0126 memory: 8510 grad_norm: 0.1413 loss: 0.0676 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.6402 recall@top3: 0.7424 prec@top3: 0.5606 recall@top5: 0.8864 prec@top5: 0.4273 loss_action_cls: 0.0676 2022/12/03 09:38:44 - mmengine - INFO - Epoch(train) [2][3100/4451] lr: 8.6340e-02 eta: 3:26:10 time: 0.3353 data_time: 0.0128 memory: 8510 grad_norm: 0.1467 loss: 0.0651 recall@thr=0.5: 0.9667 prec@thr=0.5: 0.6333 recall@top3: 0.9444 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0651 2022/12/03 09:38:51 - mmengine - INFO - Epoch(train) [2][3120/4451] lr: 8.6542e-02 eta: 3:26:03 time: 0.3341 data_time: 0.0126 memory: 8510 grad_norm: 0.1555 loss: 0.0562 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.7105 recall@top3: 0.7895 prec@top3: 0.6316 recall@top5: 0.9342 prec@top5: 0.4632 loss_action_cls: 0.0562 2022/12/03 09:38:57 - mmengine - INFO - Epoch(train) [2][3140/4451] lr: 8.6744e-02 eta: 3:25:57 time: 0.3329 data_time: 0.0109 memory: 8510 grad_norm: 0.1473 loss: 0.0636 recall@thr=0.5: 0.5573 prec@thr=0.5: 0.7031 recall@top3: 0.7656 prec@top3: 0.5417 recall@top5: 0.8958 prec@top5: 0.3750 loss_action_cls: 0.0636 2022/12/03 09:39:04 - mmengine - INFO - Epoch(train) [2][3160/4451] lr: 8.6946e-02 eta: 3:25:50 time: 0.3357 data_time: 0.0129 memory: 8510 grad_norm: 0.1509 loss: 0.0678 recall@thr=0.5: 0.5033 prec@thr=0.5: 0.7333 recall@top3: 0.6767 prec@top3: 0.6000 recall@top5: 0.9008 prec@top5: 0.4900 loss_action_cls: 0.0678 2022/12/03 09:39:11 - mmengine - INFO - Epoch(train) [2][3180/4451] lr: 8.7149e-02 eta: 3:25:43 time: 0.3353 data_time: 0.0130 memory: 8510 grad_norm: 0.1481 loss: 0.0739 recall@thr=0.5: 0.5920 prec@thr=0.5: 0.6322 recall@top3: 0.7960 prec@top3: 0.5632 recall@top5: 0.8621 prec@top5: 0.3655 loss_action_cls: 0.0739 2022/12/03 09:39:18 - mmengine - INFO - Epoch(train) [2][3200/4451] lr: 8.7351e-02 eta: 3:25:37 time: 0.3339 data_time: 0.0131 memory: 8510 grad_norm: 0.1594 loss: 0.0714 recall@thr=0.5: 0.3421 prec@thr=0.5: 0.2895 recall@top3: 0.6184 prec@top3: 0.4561 recall@top5: 0.7237 prec@top5: 0.2947 loss_action_cls: 0.0714 2022/12/03 09:39:24 - mmengine - INFO - Epoch(train) [2][3220/4451] lr: 8.7553e-02 eta: 3:25:30 time: 0.3318 data_time: 0.0120 memory: 8510 grad_norm: 0.1553 loss: 0.0750 recall@thr=0.5: 0.3529 prec@thr=0.5: 0.4608 recall@top3: 0.7113 prec@top3: 0.6569 recall@top5: 0.8725 prec@top5: 0.5118 loss_action_cls: 0.0750 2022/12/03 09:39:31 - mmengine - INFO - Epoch(train) [2][3240/4451] lr: 8.7755e-02 eta: 3:25:23 time: 0.3327 data_time: 0.0120 memory: 8510 grad_norm: 0.1492 loss: 0.0661 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6704 recall@top3: 0.8241 prec@top3: 0.6111 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0661 2022/12/03 09:39:38 - mmengine - INFO - Epoch(train) [2][3260/4451] lr: 8.7958e-02 eta: 3:25:16 time: 0.3342 data_time: 0.0132 memory: 8510 grad_norm: 0.1601 loss: 0.0650 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.6349 recall@top3: 0.6270 prec@top3: 0.3810 recall@top5: 0.7619 prec@top5: 0.3048 loss_action_cls: 0.0650 2022/12/03 09:39:44 - mmengine - INFO - Epoch(train) [2][3280/4451] lr: 8.8160e-02 eta: 3:25:09 time: 0.3342 data_time: 0.0129 memory: 8510 grad_norm: 0.1450 loss: 0.0701 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5104 recall@top3: 0.6458 prec@top3: 0.5208 recall@top5: 0.9219 prec@top5: 0.4750 loss_action_cls: 0.0701 2022/12/03 09:39:51 - mmengine - INFO - Epoch(train) [2][3300/4451] lr: 8.8362e-02 eta: 3:25:02 time: 0.3334 data_time: 0.0147 memory: 8510 grad_norm: 0.1413 loss: 0.0684 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.4861 recall@top3: 0.6597 prec@top3: 0.5000 recall@top5: 0.8368 prec@top5: 0.3833 loss_action_cls: 0.0684 2022/12/03 09:39:58 - mmengine - INFO - Epoch(train) [2][3320/4451] lr: 8.8564e-02 eta: 3:24:56 time: 0.3348 data_time: 0.0108 memory: 8510 grad_norm: 0.1425 loss: 0.0694 recall@thr=0.5: 0.4540 prec@thr=0.5: 0.5067 recall@top3: 0.7507 prec@top3: 0.6400 recall@top5: 0.9053 prec@top5: 0.4640 loss_action_cls: 0.0694 2022/12/03 09:40:04 - mmengine - INFO - Epoch(train) [2][3340/4451] lr: 8.8766e-02 eta: 3:24:49 time: 0.3360 data_time: 0.0113 memory: 8510 grad_norm: 0.1524 loss: 0.0691 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.8095 recall@top3: 0.8750 prec@top3: 0.5476 recall@top5: 0.9821 prec@top5: 0.3714 loss_action_cls: 0.0691 2022/12/03 09:40:11 - mmengine - INFO - Epoch(train) [2][3360/4451] lr: 8.8969e-02 eta: 3:24:42 time: 0.3344 data_time: 0.0118 memory: 8510 grad_norm: 0.1403 loss: 0.0632 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.5588 recall@top3: 0.7549 prec@top3: 0.5686 recall@top5: 0.8627 prec@top5: 0.4000 loss_action_cls: 0.0632 2022/12/03 09:40:18 - mmengine - INFO - Epoch(train) [2][3380/4451] lr: 8.9171e-02 eta: 3:24:36 time: 0.3365 data_time: 0.0128 memory: 8510 grad_norm: 0.1481 loss: 0.0654 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6927 recall@top3: 0.7396 prec@top3: 0.6042 recall@top5: 0.8438 prec@top5: 0.4250 loss_action_cls: 0.0654 2022/12/03 09:40:24 - mmengine - INFO - Epoch(train) [2][3400/4451] lr: 8.9373e-02 eta: 3:24:29 time: 0.3337 data_time: 0.0120 memory: 8510 grad_norm: 0.1464 loss: 0.0665 recall@thr=0.5: 0.4420 prec@thr=0.5: 0.5000 recall@top3: 0.7246 prec@top3: 0.4203 recall@top5: 0.7899 prec@top5: 0.2696 loss_action_cls: 0.0665 2022/12/03 09:40:31 - mmengine - INFO - Epoch(train) [2][3420/4451] lr: 8.9575e-02 eta: 3:24:22 time: 0.3332 data_time: 0.0119 memory: 8510 grad_norm: 0.1471 loss: 0.0668 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.6759 recall@top3: 0.7361 prec@top3: 0.5926 recall@top5: 0.8519 prec@top5: 0.4222 loss_action_cls: 0.0668 2022/12/03 09:40:38 - mmengine - INFO - Epoch(train) [2][3440/4451] lr: 8.9778e-02 eta: 3:24:16 time: 0.3342 data_time: 0.0139 memory: 8510 grad_norm: 0.1409 loss: 0.0709 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.6739 recall@top3: 0.6957 prec@top3: 0.5072 recall@top5: 0.8514 prec@top5: 0.3913 loss_action_cls: 0.0709 2022/12/03 09:40:44 - mmengine - INFO - Epoch(train) [2][3460/4451] lr: 8.9980e-02 eta: 3:24:09 time: 0.3326 data_time: 0.0146 memory: 8510 grad_norm: 0.1477 loss: 0.0662 recall@thr=0.5: 0.5482 prec@thr=0.5: 0.7325 recall@top3: 0.7412 prec@top3: 0.6316 recall@top5: 0.9298 prec@top5: 0.4947 loss_action_cls: 0.0662 2022/12/03 09:40:51 - mmengine - INFO - Epoch(train) [2][3480/4451] lr: 9.0182e-02 eta: 3:24:02 time: 0.3343 data_time: 0.0130 memory: 8510 grad_norm: 0.1439 loss: 0.0611 recall@thr=0.5: 0.5675 prec@thr=0.5: 0.6746 recall@top3: 0.7500 prec@top3: 0.5714 recall@top5: 0.8214 prec@top5: 0.3905 loss_action_cls: 0.0611 2022/12/03 09:40:58 - mmengine - INFO - Epoch(train) [2][3500/4451] lr: 9.0384e-02 eta: 3:23:55 time: 0.3331 data_time: 0.0119 memory: 8510 grad_norm: 0.1441 loss: 0.0666 recall@thr=0.5: 0.4683 prec@thr=0.5: 0.6079 recall@top3: 0.6865 prec@top3: 0.5714 recall@top5: 0.8294 prec@top5: 0.4476 loss_action_cls: 0.0666 2022/12/03 09:41:04 - mmengine - INFO - Epoch(train) [2][3520/4451] lr: 9.0586e-02 eta: 3:23:48 time: 0.3350 data_time: 0.0149 memory: 8510 grad_norm: 0.1438 loss: 0.0563 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6875 recall@top3: 0.7417 prec@top3: 0.6667 recall@top5: 0.9594 prec@top5: 0.5250 loss_action_cls: 0.0563 2022/12/03 09:41:11 - mmengine - INFO - Epoch(train) [2][3540/4451] lr: 9.0789e-02 eta: 3:23:42 time: 0.3346 data_time: 0.0115 memory: 8510 grad_norm: 0.1437 loss: 0.0694 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5784 recall@top3: 0.7157 prec@top3: 0.5294 recall@top5: 0.8431 prec@top5: 0.4000 loss_action_cls: 0.0694 2022/12/03 09:41:14 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:41:18 - mmengine - INFO - Epoch(train) [2][3560/4451] lr: 9.0991e-02 eta: 3:23:35 time: 0.3348 data_time: 0.0137 memory: 8510 grad_norm: 0.1441 loss: 0.0660 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5694 recall@top3: 0.6597 prec@top3: 0.4722 recall@top5: 0.8819 prec@top5: 0.3917 loss_action_cls: 0.0660 2022/12/03 09:41:25 - mmengine - INFO - Epoch(train) [2][3580/4451] lr: 9.1193e-02 eta: 3:23:28 time: 0.3336 data_time: 0.0131 memory: 8510 grad_norm: 0.1565 loss: 0.0644 recall@thr=0.5: 0.3623 prec@thr=0.5: 0.2826 recall@top3: 0.5652 prec@top3: 0.3333 recall@top5: 0.8116 prec@top5: 0.2957 loss_action_cls: 0.0644 2022/12/03 09:41:31 - mmengine - INFO - Epoch(train) [2][3600/4451] lr: 9.1395e-02 eta: 3:23:22 time: 0.3362 data_time: 0.0131 memory: 8510 grad_norm: 0.1465 loss: 0.0626 recall@thr=0.5: 0.5708 prec@thr=0.5: 0.6583 recall@top3: 0.7000 prec@top3: 0.5167 recall@top5: 0.9250 prec@top5: 0.4100 loss_action_cls: 0.0626 2022/12/03 09:41:38 - mmengine - INFO - Epoch(train) [2][3620/4451] lr: 9.1598e-02 eta: 3:23:15 time: 0.3347 data_time: 0.0130 memory: 8510 grad_norm: 0.1470 loss: 0.0673 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7333 recall@top3: 0.7250 prec@top3: 0.6500 recall@top5: 0.9000 prec@top5: 0.4700 loss_action_cls: 0.0673 2022/12/03 09:41:45 - mmengine - INFO - Epoch(train) [2][3640/4451] lr: 9.1800e-02 eta: 3:23:08 time: 0.3342 data_time: 0.0121 memory: 8510 grad_norm: 0.1426 loss: 0.0637 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7262 recall@top3: 0.7937 prec@top3: 0.5556 recall@top5: 0.9286 prec@top5: 0.3905 loss_action_cls: 0.0637 2022/12/03 09:41:51 - mmengine - INFO - Epoch(train) [2][3660/4451] lr: 9.2002e-02 eta: 3:23:01 time: 0.3338 data_time: 0.0142 memory: 8510 grad_norm: 0.1467 loss: 0.0715 recall@thr=0.5: 0.8565 prec@thr=0.5: 0.8116 recall@top3: 0.9101 prec@top3: 0.6232 recall@top5: 0.9913 prec@top5: 0.4261 loss_action_cls: 0.0715 2022/12/03 09:41:58 - mmengine - INFO - Epoch(train) [2][3680/4451] lr: 9.2204e-02 eta: 3:22:55 time: 0.3335 data_time: 0.0125 memory: 8510 grad_norm: 0.1418 loss: 0.0636 recall@thr=0.5: 0.4744 prec@thr=0.5: 0.6538 recall@top3: 0.6731 prec@top3: 0.4872 recall@top5: 0.9359 prec@top5: 0.4462 loss_action_cls: 0.0636 2022/12/03 09:42:05 - mmengine - INFO - Epoch(train) [2][3700/4451] lr: 9.2406e-02 eta: 3:22:48 time: 0.3324 data_time: 0.0128 memory: 8510 grad_norm: 0.1391 loss: 0.0617 recall@thr=0.5: 0.5181 prec@thr=0.5: 0.5797 recall@top3: 0.6739 prec@top3: 0.6232 recall@top5: 0.7826 prec@top5: 0.4522 loss_action_cls: 0.0617 2022/12/03 09:42:11 - mmengine - INFO - Epoch(train) [2][3720/4451] lr: 9.2609e-02 eta: 3:22:41 time: 0.3332 data_time: 0.0142 memory: 8510 grad_norm: 0.1420 loss: 0.0620 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6368 recall@top3: 0.7412 prec@top3: 0.5614 recall@top5: 0.8860 prec@top5: 0.4105 loss_action_cls: 0.0620 2022/12/03 09:42:18 - mmengine - INFO - Epoch(train) [2][3740/4451] lr: 9.2811e-02 eta: 3:22:34 time: 0.3347 data_time: 0.0136 memory: 8510 grad_norm: 0.1437 loss: 0.0605 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.9510 recall@top3: 0.8480 prec@top3: 0.5294 recall@top5: 0.9804 prec@top5: 0.3882 loss_action_cls: 0.0605 2022/12/03 09:42:25 - mmengine - INFO - Epoch(train) [2][3760/4451] lr: 9.3013e-02 eta: 3:22:27 time: 0.3328 data_time: 0.0129 memory: 8510 grad_norm: 0.1513 loss: 0.0616 recall@thr=0.5: 0.5532 prec@thr=0.5: 0.8571 recall@top3: 0.6683 prec@top3: 0.7302 recall@top5: 0.7667 prec@top5: 0.5048 loss_action_cls: 0.0616 2022/12/03 09:42:31 - mmengine - INFO - Epoch(train) [2][3780/4451] lr: 9.3215e-02 eta: 3:22:21 time: 0.3365 data_time: 0.0127 memory: 8510 grad_norm: 0.1454 loss: 0.0598 recall@thr=0.5: 0.4741 prec@thr=0.5: 0.5926 recall@top3: 0.7519 prec@top3: 0.5370 recall@top5: 0.8389 prec@top5: 0.3889 loss_action_cls: 0.0598 2022/12/03 09:42:38 - mmengine - INFO - Epoch(train) [2][3800/4451] lr: 9.3418e-02 eta: 3:22:14 time: 0.3353 data_time: 0.0127 memory: 8510 grad_norm: 0.1412 loss: 0.0671 recall@thr=0.5: 0.4216 prec@thr=0.5: 0.7255 recall@top3: 0.7647 prec@top3: 0.6471 recall@top5: 0.8039 prec@top5: 0.4118 loss_action_cls: 0.0671 2022/12/03 09:42:45 - mmengine - INFO - Epoch(train) [2][3820/4451] lr: 9.3620e-02 eta: 3:22:08 time: 0.3340 data_time: 0.0165 memory: 8510 grad_norm: 0.1463 loss: 0.0583 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.6212 recall@top3: 0.8485 prec@top3: 0.5758 recall@top5: 0.9129 prec@top5: 0.3818 loss_action_cls: 0.0583 2022/12/03 09:42:51 - mmengine - INFO - Epoch(train) [2][3840/4451] lr: 9.3822e-02 eta: 3:22:01 time: 0.3351 data_time: 0.0128 memory: 8510 grad_norm: 0.1424 loss: 0.0667 recall@thr=0.5: 0.5159 prec@thr=0.5: 0.5072 recall@top3: 0.6572 prec@top3: 0.4638 recall@top5: 0.8486 prec@top5: 0.4000 loss_action_cls: 0.0667 2022/12/03 09:42:58 - mmengine - INFO - Epoch(train) [2][3860/4451] lr: 9.4024e-02 eta: 3:21:54 time: 0.3340 data_time: 0.0128 memory: 8510 grad_norm: 0.1481 loss: 0.0548 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6458 recall@top3: 0.6111 prec@top3: 0.4583 recall@top5: 0.8264 prec@top5: 0.3667 loss_action_cls: 0.0548 2022/12/03 09:43:05 - mmengine - INFO - Epoch(train) [2][3880/4451] lr: 9.4226e-02 eta: 3:21:48 time: 0.3361 data_time: 0.0108 memory: 8510 grad_norm: 0.1542 loss: 0.0630 recall@thr=0.5: 0.4800 prec@thr=0.5: 0.3867 recall@top3: 0.6133 prec@top3: 0.4133 recall@top5: 0.8467 prec@top5: 0.3200 loss_action_cls: 0.0630 2022/12/03 09:43:12 - mmengine - INFO - Epoch(train) [2][3900/4451] lr: 9.4429e-02 eta: 3:21:41 time: 0.3353 data_time: 0.0151 memory: 8510 grad_norm: 0.1447 loss: 0.0607 recall@thr=0.5: 0.6358 prec@thr=0.5: 0.6235 recall@top3: 0.7901 prec@top3: 0.5926 recall@top5: 0.8519 prec@top5: 0.3852 loss_action_cls: 0.0607 2022/12/03 09:43:18 - mmengine - INFO - Epoch(train) [2][3920/4451] lr: 9.4631e-02 eta: 3:21:34 time: 0.3315 data_time: 0.0118 memory: 8510 grad_norm: 0.1461 loss: 0.0608 recall@thr=0.5: 0.4378 prec@thr=0.5: 0.4778 recall@top3: 0.6311 prec@top3: 0.4444 recall@top5: 0.8956 prec@top5: 0.4000 loss_action_cls: 0.0608 2022/12/03 09:43:25 - mmengine - INFO - Epoch(train) [2][3940/4451] lr: 9.4833e-02 eta: 3:21:27 time: 0.3340 data_time: 0.0119 memory: 8510 grad_norm: 0.1379 loss: 0.0638 recall@thr=0.5: 0.3704 prec@thr=0.5: 0.5000 recall@top3: 0.6435 prec@top3: 0.6296 recall@top5: 0.8241 prec@top5: 0.4889 loss_action_cls: 0.0638 2022/12/03 09:43:32 - mmengine - INFO - Epoch(train) [2][3960/4451] lr: 9.5035e-02 eta: 3:21:20 time: 0.3347 data_time: 0.0170 memory: 8510 grad_norm: 0.1474 loss: 0.0598 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.4306 recall@top3: 0.5556 prec@top3: 0.3194 recall@top5: 0.7639 prec@top5: 0.2500 loss_action_cls: 0.0598 2022/12/03 09:43:38 - mmengine - INFO - Epoch(train) [2][3980/4451] lr: 9.5238e-02 eta: 3:21:14 time: 0.3367 data_time: 0.0111 memory: 8510 grad_norm: 0.1443 loss: 0.0607 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6140 recall@top3: 0.6447 prec@top3: 0.5088 recall@top5: 0.9605 prec@top5: 0.4421 loss_action_cls: 0.0607 2022/12/03 09:43:45 - mmengine - INFO - Epoch(train) [2][4000/4451] lr: 9.5440e-02 eta: 3:21:07 time: 0.3341 data_time: 0.0139 memory: 8510 grad_norm: 0.1536 loss: 0.0611 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.6471 recall@top3: 0.8627 prec@top3: 0.6078 recall@top5: 0.8922 prec@top5: 0.3882 loss_action_cls: 0.0611 2022/12/03 09:43:52 - mmengine - INFO - Epoch(train) [2][4020/4451] lr: 9.5642e-02 eta: 3:21:00 time: 0.3342 data_time: 0.0113 memory: 8510 grad_norm: 0.1507 loss: 0.0622 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.8333 recall@top3: 0.7587 prec@top3: 0.6957 recall@top5: 0.9710 prec@top5: 0.5565 loss_action_cls: 0.0622 2022/12/03 09:43:58 - mmengine - INFO - Epoch(train) [2][4040/4451] lr: 9.5844e-02 eta: 3:20:54 time: 0.3353 data_time: 0.0154 memory: 8510 grad_norm: 0.1419 loss: 0.0600 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6667 recall@top3: 0.8519 prec@top3: 0.5556 recall@top5: 0.9259 prec@top5: 0.3667 loss_action_cls: 0.0600 2022/12/03 09:44:05 - mmengine - INFO - Epoch(train) [2][4060/4451] lr: 9.6047e-02 eta: 3:20:47 time: 0.3345 data_time: 0.0127 memory: 8510 grad_norm: 0.1481 loss: 0.0598 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.6417 recall@top3: 0.8367 prec@top3: 0.5333 recall@top5: 0.9300 prec@top5: 0.3700 loss_action_cls: 0.0598 2022/12/03 09:44:12 - mmengine - INFO - Epoch(train) [2][4080/4451] lr: 9.6249e-02 eta: 3:20:41 time: 0.3357 data_time: 0.0162 memory: 8510 grad_norm: 0.1434 loss: 0.0601 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6667 recall@top3: 0.7619 prec@top3: 0.5714 recall@top5: 0.9444 prec@top5: 0.4571 loss_action_cls: 0.0601 2022/12/03 09:44:18 - mmengine - INFO - Epoch(train) [2][4100/4451] lr: 9.6451e-02 eta: 3:20:34 time: 0.3351 data_time: 0.0117 memory: 8510 grad_norm: 0.1437 loss: 0.0631 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6905 recall@top3: 0.8690 prec@top3: 0.5000 recall@top5: 0.9048 prec@top5: 0.3143 loss_action_cls: 0.0631 2022/12/03 09:44:25 - mmengine - INFO - Epoch(train) [2][4120/4451] lr: 9.6653e-02 eta: 3:20:27 time: 0.3336 data_time: 0.0139 memory: 8510 grad_norm: 0.1464 loss: 0.0672 recall@thr=0.5: 0.6602 prec@thr=0.5: 0.8056 recall@top3: 0.7111 prec@top3: 0.6111 recall@top5: 0.8491 prec@top5: 0.4556 loss_action_cls: 0.0672 2022/12/03 09:44:32 - mmengine - INFO - Epoch(train) [2][4140/4451] lr: 9.6855e-02 eta: 3:20:20 time: 0.3329 data_time: 0.0132 memory: 8510 grad_norm: 0.1377 loss: 0.0647 recall@thr=0.5: 0.5096 prec@thr=0.5: 0.5929 recall@top3: 0.7244 prec@top3: 0.6026 recall@top5: 0.8846 prec@top5: 0.4538 loss_action_cls: 0.0647 2022/12/03 09:44:39 - mmengine - INFO - Epoch(train) [2][4160/4451] lr: 9.7058e-02 eta: 3:20:14 time: 0.3340 data_time: 0.0122 memory: 8510 grad_norm: 0.1416 loss: 0.0637 recall@thr=0.5: 0.3929 prec@thr=0.5: 0.7500 recall@top3: 0.8095 prec@top3: 0.6667 recall@top5: 0.8571 prec@top5: 0.4286 loss_action_cls: 0.0637 2022/12/03 09:44:45 - mmengine - INFO - Epoch(train) [2][4180/4451] lr: 9.7260e-02 eta: 3:20:07 time: 0.3365 data_time: 0.0145 memory: 8510 grad_norm: 0.1507 loss: 0.0609 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5833 recall@top3: 0.8750 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4625 loss_action_cls: 0.0609 2022/12/03 09:44:52 - mmengine - INFO - Epoch(train) [2][4200/4451] lr: 9.7462e-02 eta: 3:20:00 time: 0.3343 data_time: 0.0116 memory: 8510 grad_norm: 0.1462 loss: 0.0639 recall@thr=0.5: 0.5565 prec@thr=0.5: 0.6250 recall@top3: 0.6905 prec@top3: 0.5476 recall@top5: 0.8452 prec@top5: 0.4071 loss_action_cls: 0.0639 2022/12/03 09:44:59 - mmengine - INFO - Epoch(train) [2][4220/4451] lr: 9.7664e-02 eta: 3:19:54 time: 0.3370 data_time: 0.0138 memory: 8510 grad_norm: 0.1451 loss: 0.0628 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6562 recall@top3: 0.7500 prec@top3: 0.6042 recall@top5: 0.9167 prec@top5: 0.4375 loss_action_cls: 0.0628 2022/12/03 09:45:05 - mmengine - INFO - Epoch(train) [2][4240/4451] lr: 9.7867e-02 eta: 3:19:47 time: 0.3340 data_time: 0.0117 memory: 8510 grad_norm: 0.1474 loss: 0.0588 recall@thr=0.5: 0.3067 prec@thr=0.5: 0.4200 recall@top3: 0.5867 prec@top3: 0.4933 recall@top5: 0.8133 prec@top5: 0.4320 loss_action_cls: 0.0588 2022/12/03 09:45:12 - mmengine - INFO - Epoch(train) [2][4260/4451] lr: 9.8069e-02 eta: 3:19:40 time: 0.3333 data_time: 0.0139 memory: 8510 grad_norm: 0.1430 loss: 0.0599 recall@thr=0.5: 0.3755 prec@thr=0.5: 0.5000 recall@top3: 0.6333 prec@top3: 0.5882 recall@top5: 0.9343 prec@top5: 0.4824 loss_action_cls: 0.0599 2022/12/03 09:45:19 - mmengine - INFO - Epoch(train) [2][4280/4451] lr: 9.8271e-02 eta: 3:19:34 time: 0.3354 data_time: 0.0116 memory: 8510 grad_norm: 0.1429 loss: 0.0587 recall@thr=0.5: 0.4155 prec@thr=0.5: 0.4762 recall@top3: 0.6417 prec@top3: 0.4881 recall@top5: 0.8458 prec@top5: 0.4143 loss_action_cls: 0.0587 2022/12/03 09:45:25 - mmengine - INFO - Epoch(train) [2][4300/4451] lr: 9.8473e-02 eta: 3:19:27 time: 0.3342 data_time: 0.0122 memory: 8510 grad_norm: 0.1366 loss: 0.0622 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.7976 recall@top3: 0.7381 prec@top3: 0.6667 recall@top5: 0.8839 prec@top5: 0.4786 loss_action_cls: 0.0622 2022/12/03 09:45:32 - mmengine - INFO - Epoch(train) [2][4320/4451] lr: 9.8675e-02 eta: 3:19:20 time: 0.3347 data_time: 0.0108 memory: 8510 grad_norm: 0.1405 loss: 0.0628 recall@thr=0.5: 0.4603 prec@thr=0.5: 0.5659 recall@top3: 0.6984 prec@top3: 0.6190 recall@top5: 0.8492 prec@top5: 0.4571 loss_action_cls: 0.0628 2022/12/03 09:45:39 - mmengine - INFO - Epoch(train) [2][4340/4451] lr: 9.8878e-02 eta: 3:19:14 time: 0.3358 data_time: 0.0124 memory: 8510 grad_norm: 0.1438 loss: 0.0614 recall@thr=0.5: 0.4222 prec@thr=0.5: 0.5389 recall@top3: 0.6556 prec@top3: 0.5333 recall@top5: 0.7778 prec@top5: 0.3600 loss_action_cls: 0.0614 2022/12/03 09:45:45 - mmengine - INFO - Epoch(train) [2][4360/4451] lr: 9.9080e-02 eta: 3:19:07 time: 0.3339 data_time: 0.0120 memory: 8510 grad_norm: 0.1416 loss: 0.0543 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.5833 recall@top3: 0.6833 prec@top3: 0.6000 recall@top5: 0.7667 prec@top5: 0.4100 loss_action_cls: 0.0543 2022/12/03 09:45:52 - mmengine - INFO - Epoch(train) [2][4380/4451] lr: 9.9282e-02 eta: 3:19:00 time: 0.3326 data_time: 0.0115 memory: 8510 grad_norm: 0.1465 loss: 0.0596 recall@thr=0.5: 0.4048 prec@thr=0.5: 0.3968 recall@top3: 0.5754 prec@top3: 0.4444 recall@top5: 0.8492 prec@top5: 0.3905 loss_action_cls: 0.0596 2022/12/03 09:45:59 - mmengine - INFO - Epoch(train) [2][4400/4451] lr: 9.9484e-02 eta: 3:18:53 time: 0.3349 data_time: 0.0135 memory: 8510 grad_norm: 0.1385 loss: 0.0536 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6667 recall@top3: 0.7262 prec@top3: 0.6190 recall@top5: 0.9206 prec@top5: 0.4857 loss_action_cls: 0.0536 2022/12/03 09:46:06 - mmengine - INFO - Epoch(train) [2][4420/4451] lr: 9.9687e-02 eta: 3:18:47 time: 0.3340 data_time: 0.0145 memory: 8510 grad_norm: 0.1373 loss: 0.0641 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8611 recall@top3: 0.8333 prec@top3: 0.6852 recall@top5: 0.9259 prec@top5: 0.4556 loss_action_cls: 0.0641 2022/12/03 09:46:12 - mmengine - INFO - Epoch(train) [2][4440/4451] lr: 9.9889e-02 eta: 3:18:40 time: 0.3343 data_time: 0.0118 memory: 8510 grad_norm: 0.1510 loss: 0.0647 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.4474 recall@top3: 0.7456 prec@top3: 0.5263 recall@top5: 0.8772 prec@top5: 0.3789 loss_action_cls: 0.0647 2022/12/03 09:46:16 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:46:16 - mmengine - INFO - Epoch(train) [2][4451/4451] lr: 1.0000e-01 eta: 3:18:36 time: 0.3291 data_time: 0.0117 memory: 8510 grad_norm: 0.1463 loss: 0.0642 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7604 recall@top3: 0.8021 prec@top3: 0.7500 recall@top5: 0.9792 prec@top5: 0.5500 loss_action_cls: 0.0642 2022/12/03 09:46:16 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/12/03 09:46:22 - mmengine - INFO - Epoch(val) [2][ 20/6282] eta: 0:07:25 time: 0.0711 data_time: 0.0268 memory: 662 2022/12/03 09:46:23 - mmengine - INFO - Epoch(val) [2][ 40/6282] eta: 0:06:23 time: 0.0520 data_time: 0.0065 memory: 662 2022/12/03 09:46:24 - mmengine - INFO - Epoch(val) [2][ 60/6282] eta: 0:05:56 time: 0.0489 data_time: 0.0058 memory: 662 2022/12/03 09:46:25 - mmengine - INFO - Epoch(val) [2][ 80/6282] eta: 0:05:37 time: 0.0460 data_time: 0.0067 memory: 662 2022/12/03 09:46:25 - mmengine - INFO - Epoch(val) [2][ 100/6282] eta: 0:05:25 time: 0.0453 data_time: 0.0053 memory: 662 2022/12/03 09:46:27 - mmengine - INFO - Epoch(val) [2][ 120/6282] eta: 0:05:25 time: 0.0539 data_time: 0.0068 memory: 733 2022/12/03 09:46:28 - mmengine - INFO - Epoch(val) [2][ 140/6282] eta: 0:05:30 time: 0.0595 data_time: 0.0080 memory: 733 2022/12/03 09:46:29 - mmengine - INFO - Epoch(val) [2][ 160/6282] eta: 0:05:35 time: 0.0616 data_time: 0.0080 memory: 733 2022/12/03 09:46:30 - mmengine - INFO - Epoch(val) [2][ 180/6282] eta: 0:05:36 time: 0.0583 data_time: 0.0072 memory: 733 2022/12/03 09:46:31 - mmengine - INFO - Epoch(val) [2][ 200/6282] eta: 0:05:37 time: 0.0589 data_time: 0.0071 memory: 733 2022/12/03 09:46:32 - mmengine - INFO - Epoch(val) [2][ 220/6282] eta: 0:05:35 time: 0.0537 data_time: 0.0079 memory: 674 2022/12/03 09:46:33 - mmengine - INFO - Epoch(val) [2][ 240/6282] eta: 0:05:32 time: 0.0511 data_time: 0.0060 memory: 674 2022/12/03 09:46:34 - mmengine - INFO - Epoch(val) [2][ 260/6282] eta: 0:05:29 time: 0.0503 data_time: 0.0069 memory: 674 2022/12/03 09:46:35 - mmengine - INFO - Epoch(val) [2][ 280/6282] eta: 0:05:26 time: 0.0508 data_time: 0.0097 memory: 674 2022/12/03 09:46:37 - mmengine - INFO - Epoch(val) [2][ 300/6282] eta: 0:05:26 time: 0.0580 data_time: 0.0094 memory: 733 2022/12/03 09:46:38 - mmengine - INFO - Epoch(val) [2][ 320/6282] eta: 0:05:26 time: 0.0574 data_time: 0.0103 memory: 733 2022/12/03 09:46:39 - mmengine - INFO - Epoch(val) [2][ 340/6282] eta: 0:05:26 time: 0.0572 data_time: 0.0091 memory: 733 2022/12/03 09:46:40 - mmengine - INFO - Epoch(val) [2][ 360/6282] eta: 0:05:27 time: 0.0611 data_time: 0.0080 memory: 733 2022/12/03 09:46:41 - mmengine - INFO - Epoch(val) [2][ 380/6282] eta: 0:05:26 time: 0.0548 data_time: 0.0063 memory: 733 2022/12/03 09:46:42 - mmengine - INFO - Epoch(val) [2][ 400/6282] eta: 0:05:25 time: 0.0572 data_time: 0.0080 memory: 733 2022/12/03 09:46:43 - mmengine - INFO - Epoch(val) [2][ 420/6282] eta: 0:05:24 time: 0.0553 data_time: 0.0094 memory: 679 2022/12/03 09:46:45 - mmengine - INFO - Epoch(val) [2][ 440/6282] eta: 0:05:22 time: 0.0536 data_time: 0.0075 memory: 679 2022/12/03 09:46:46 - mmengine - INFO - Epoch(val) [2][ 460/6282] eta: 0:05:22 time: 0.0563 data_time: 0.0075 memory: 679 2022/12/03 09:46:47 - mmengine - INFO - Epoch(val) [2][ 480/6282] eta: 0:05:20 time: 0.0527 data_time: 0.0074 memory: 679 2022/12/03 09:46:48 - mmengine - INFO - Epoch(val) [2][ 500/6282] eta: 0:05:19 time: 0.0549 data_time: 0.0066 memory: 679 2022/12/03 09:46:49 - mmengine - INFO - Epoch(val) [2][ 520/6282] eta: 0:05:17 time: 0.0535 data_time: 0.0067 memory: 674 2022/12/03 09:46:50 - mmengine - INFO - Epoch(val) [2][ 540/6282] eta: 0:05:15 time: 0.0517 data_time: 0.0061 memory: 674 2022/12/03 09:46:51 - mmengine - INFO - Epoch(val) [2][ 560/6282] eta: 0:05:14 time: 0.0547 data_time: 0.0079 memory: 674 2022/12/03 09:46:52 - mmengine - INFO - Epoch(val) [2][ 580/6282] eta: 0:05:13 time: 0.0560 data_time: 0.0091 memory: 674 2022/12/03 09:46:53 - mmengine - INFO - Epoch(val) [2][ 600/6282] eta: 0:05:12 time: 0.0530 data_time: 0.0090 memory: 674 2022/12/03 09:46:54 - mmengine - INFO - Epoch(val) [2][ 620/6282] eta: 0:05:10 time: 0.0518 data_time: 0.0075 memory: 674 2022/12/03 09:46:55 - mmengine - INFO - Epoch(val) [2][ 640/6282] eta: 0:05:09 time: 0.0535 data_time: 0.0075 memory: 670 2022/12/03 09:46:56 - mmengine - INFO - Epoch(val) [2][ 660/6282] eta: 0:05:07 time: 0.0486 data_time: 0.0065 memory: 670 2022/12/03 09:46:57 - mmengine - INFO - Epoch(val) [2][ 680/6282] eta: 0:05:04 time: 0.0476 data_time: 0.0062 memory: 670 2022/12/03 09:46:58 - mmengine - INFO - Epoch(val) [2][ 700/6282] eta: 0:05:03 time: 0.0508 data_time: 0.0070 memory: 670 2022/12/03 09:46:59 - mmengine - INFO - Epoch(val) [2][ 720/6282] eta: 0:05:01 time: 0.0520 data_time: 0.0088 memory: 733 2022/12/03 09:47:01 - mmengine - INFO - Epoch(val) [2][ 740/6282] eta: 0:05:01 time: 0.0629 data_time: 0.0183 memory: 733 2022/12/03 09:47:02 - mmengine - INFO - Epoch(val) [2][ 760/6282] eta: 0:05:01 time: 0.0618 data_time: 0.0134 memory: 733 2022/12/03 09:47:03 - mmengine - INFO - Epoch(val) [2][ 780/6282] eta: 0:05:03 time: 0.0753 data_time: 0.0264 memory: 733 2022/12/03 09:47:05 - mmengine - INFO - Epoch(val) [2][ 800/6282] eta: 0:05:05 time: 0.0726 data_time: 0.0227 memory: 733 2022/12/03 09:47:06 - mmengine - INFO - Epoch(val) [2][ 820/6282] eta: 0:05:04 time: 0.0594 data_time: 0.0139 memory: 733 2022/12/03 09:47:07 - mmengine - INFO - Epoch(val) [2][ 840/6282] eta: 0:05:03 time: 0.0534 data_time: 0.0090 memory: 674 2022/12/03 09:47:08 - mmengine - INFO - Epoch(val) [2][ 860/6282] eta: 0:05:01 time: 0.0556 data_time: 0.0113 memory: 674 2022/12/03 09:47:09 - mmengine - INFO - Epoch(val) [2][ 880/6282] eta: 0:05:01 time: 0.0593 data_time: 0.0126 memory: 674 2022/12/03 09:47:10 - mmengine - INFO - Epoch(val) [2][ 900/6282] eta: 0:04:59 time: 0.0523 data_time: 0.0072 memory: 674 2022/12/03 09:47:11 - mmengine - INFO - Epoch(val) [2][ 920/6282] eta: 0:04:57 time: 0.0502 data_time: 0.0057 memory: 674 2022/12/03 09:47:12 - mmengine - INFO - Epoch(val) [2][ 940/6282] eta: 0:04:56 time: 0.0540 data_time: 0.0120 memory: 662 2022/12/03 09:47:14 - mmengine - INFO - Epoch(val) [2][ 960/6282] eta: 0:04:55 time: 0.0544 data_time: 0.0079 memory: 662 2022/12/03 09:47:15 - mmengine - INFO - Epoch(val) [2][ 980/6282] eta: 0:04:54 time: 0.0536 data_time: 0.0092 memory: 662 2022/12/03 09:47:16 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:04:52 time: 0.0473 data_time: 0.0045 memory: 662 2022/12/03 09:47:17 - mmengine - INFO - Epoch(val) 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0:04:40 time: 0.0531 data_time: 0.0104 memory: 674 2022/12/03 09:47:26 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:04:38 time: 0.0522 data_time: 0.0066 memory: 674 2022/12/03 09:47:27 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:04:37 time: 0.0496 data_time: 0.0080 memory: 674 2022/12/03 09:47:28 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:04:36 time: 0.0601 data_time: 0.0106 memory: 733 2022/12/03 09:47:29 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:04:35 time: 0.0567 data_time: 0.0088 memory: 733 2022/12/03 09:47:31 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:04:35 time: 0.0606 data_time: 0.0087 memory: 733 2022/12/03 09:47:32 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:04:34 time: 0.0566 data_time: 0.0108 memory: 733 2022/12/03 09:47:33 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:04:33 time: 0.0626 data_time: 0.0144 memory: 733 2022/12/03 09:47:34 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:04:32 time: 0.0604 data_time: 0.0096 memory: 733 2022/12/03 09:47:36 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:04:32 time: 0.0621 data_time: 0.0150 memory: 733 2022/12/03 09:47:37 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:04:31 time: 0.0547 data_time: 0.0109 memory: 733 2022/12/03 09:47:38 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:04:30 time: 0.0652 data_time: 0.0197 memory: 733 2022/12/03 09:47:39 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:04:30 time: 0.0649 data_time: 0.0193 memory: 733 2022/12/03 09:47:40 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:04:29 time: 0.0562 data_time: 0.0109 memory: 733 2022/12/03 09:47:41 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:04:28 time: 0.0541 data_time: 0.0076 memory: 733 2022/12/03 09:47:43 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:04:26 time: 0.0520 data_time: 0.0073 memory: 733 2022/12/03 09:47:44 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:04:25 time: 0.0532 data_time: 0.0071 memory: 733 2022/12/03 09:47:45 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:04:24 time: 0.0529 data_time: 0.0047 memory: 820 2022/12/03 09:47:46 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:04:23 time: 0.0584 data_time: 0.0074 memory: 820 2022/12/03 09:47:47 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:04:22 time: 0.0555 data_time: 0.0079 memory: 820 2022/12/03 09:47:48 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:04:21 time: 0.0581 data_time: 0.0066 memory: 820 2022/12/03 09:47:49 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:04:20 time: 0.0612 data_time: 0.0080 memory: 820 2022/12/03 09:47:50 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:04:19 time: 0.0566 data_time: 0.0054 memory: 820 2022/12/03 09:47:52 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:04:18 time: 0.0546 data_time: 0.0072 memory: 733 2022/12/03 09:47:53 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:04:16 time: 0.0547 data_time: 0.0081 memory: 733 2022/12/03 09:47:54 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:04:15 time: 0.0525 data_time: 0.0079 memory: 733 2022/12/03 09:47:55 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:04:14 time: 0.0559 data_time: 0.0065 memory: 733 2022/12/03 09:47:56 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:04:13 time: 0.0584 data_time: 0.0088 memory: 733 2022/12/03 09:47:57 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:04:12 time: 0.0560 data_time: 0.0082 memory: 733 2022/12/03 09:47:58 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:04:11 time: 0.0547 data_time: 0.0057 memory: 733 2022/12/03 09:47:59 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:04:10 time: 0.0540 data_time: 0.0059 memory: 733 2022/12/03 09:48:00 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:04:09 time: 0.0565 data_time: 0.0066 memory: 733 2022/12/03 09:48:02 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:04:08 time: 0.0567 data_time: 0.0080 memory: 733 2022/12/03 09:48:03 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:04:07 time: 0.0574 data_time: 0.0095 memory: 733 2022/12/03 09:48:04 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:04:05 time: 0.0562 data_time: 0.0084 memory: 733 2022/12/03 09:48:05 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:04:04 time: 0.0580 data_time: 0.0128 memory: 733 2022/12/03 09:48:06 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:04:04 time: 0.0640 data_time: 0.0153 memory: 733 2022/12/03 09:48:08 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:04:03 time: 0.0697 data_time: 0.0192 memory: 733 2022/12/03 09:48:09 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:04:03 time: 0.0664 data_time: 0.0183 memory: 733 2022/12/03 09:48:10 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:04:01 time: 0.0532 data_time: 0.0061 memory: 679 2022/12/03 09:48:11 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:04:00 time: 0.0502 data_time: 0.0070 memory: 679 2022/12/03 09:48:12 - mmengine - INFO - Epoch(val) [2][2000/6282] eta: 0:03:59 time: 0.0502 data_time: 0.0066 memory: 679 2022/12/03 09:48:13 - mmengine - INFO - Epoch(val) [2][2020/6282] eta: 0:03:57 time: 0.0531 data_time: 0.0084 memory: 679 2022/12/03 09:48:14 - mmengine - INFO - Epoch(val) [2][2040/6282] eta: 0:03:56 time: 0.0502 data_time: 0.0074 memory: 679 2022/12/03 09:48:15 - mmengine - INFO - Epoch(val) [2][2060/6282] eta: 0:03:55 time: 0.0541 data_time: 0.0085 memory: 679 2022/12/03 09:48:16 - mmengine - INFO - Epoch(val) [2][2080/6282] eta: 0:03:54 time: 0.0516 data_time: 0.0060 memory: 679 2022/12/03 09:48:17 - mmengine - INFO - Epoch(val) [2][2100/6282] eta: 0:03:52 time: 0.0510 data_time: 0.0078 memory: 679 2022/12/03 09:48:18 - mmengine - INFO - Epoch(val) [2][2120/6282] eta: 0:03:51 time: 0.0509 data_time: 0.0092 memory: 679 2022/12/03 09:48:19 - mmengine - INFO - Epoch(val) [2][2140/6282] eta: 0:03:50 time: 0.0493 data_time: 0.0061 memory: 679 2022/12/03 09:48:20 - mmengine - INFO - Epoch(val) [2][2160/6282] eta: 0:03:48 time: 0.0525 data_time: 0.0071 memory: 674 2022/12/03 09:48:21 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:03:47 time: 0.0547 data_time: 0.0077 memory: 674 2022/12/03 09:48:22 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:03:46 time: 0.0514 data_time: 0.0063 memory: 674 2022/12/03 09:48:24 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:03:45 time: 0.0544 data_time: 0.0089 memory: 674 2022/12/03 09:48:25 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:03:44 time: 0.0520 data_time: 0.0080 memory: 674 2022/12/03 09:48:26 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:03:42 time: 0.0498 data_time: 0.0066 memory: 679 2022/12/03 09:48:27 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:03:41 time: 0.0509 data_time: 0.0075 memory: 679 2022/12/03 09:48:28 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:03:40 time: 0.0560 data_time: 0.0090 memory: 679 2022/12/03 09:48:29 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:03:39 time: 0.0543 data_time: 0.0073 memory: 679 2022/12/03 09:48:30 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:03:38 time: 0.0562 data_time: 0.0097 memory: 679 2022/12/03 09:48:31 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:03:37 time: 0.0522 data_time: 0.0092 memory: 674 2022/12/03 09:48:32 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:03:35 time: 0.0522 data_time: 0.0085 memory: 674 2022/12/03 09:48:33 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:03:34 time: 0.0527 data_time: 0.0078 memory: 674 2022/12/03 09:48:34 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:03:33 time: 0.0504 data_time: 0.0074 memory: 674 2022/12/03 09:48:35 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:03:32 time: 0.0498 data_time: 0.0063 memory: 674 2022/12/03 09:48:36 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:03:31 time: 0.0571 data_time: 0.0089 memory: 733 2022/12/03 09:48:37 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:03:30 time: 0.0604 data_time: 0.0105 memory: 733 2022/12/03 09:48:39 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:03:28 time: 0.0547 data_time: 0.0073 memory: 733 2022/12/03 09:48:40 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:03:27 time: 0.0571 data_time: 0.0073 memory: 733 2022/12/03 09:48:41 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:03:26 time: 0.0531 data_time: 0.0082 memory: 733 2022/12/03 09:48:42 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:03:25 time: 0.0577 data_time: 0.0118 memory: 733 2022/12/03 09:48:43 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:03:24 time: 0.0611 data_time: 0.0099 memory: 733 2022/12/03 09:48:44 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:03:23 time: 0.0659 data_time: 0.0143 memory: 733 2022/12/03 09:48:46 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:03:22 time: 0.0599 data_time: 0.0107 memory: 733 2022/12/03 09:48:47 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:03:21 time: 0.0589 data_time: 0.0121 memory: 733 2022/12/03 09:48:48 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:03:20 time: 0.0596 data_time: 0.0066 memory: 812 2022/12/03 09:48:49 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:03:19 time: 0.0575 data_time: 0.0075 memory: 812 2022/12/03 09:48:50 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:03:18 time: 0.0606 data_time: 0.0067 memory: 812 2022/12/03 09:48:52 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:03:17 time: 0.0588 data_time: 0.0051 memory: 812 2022/12/03 09:48:53 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:03:16 time: 0.0592 data_time: 0.0059 memory: 812 2022/12/03 09:48:54 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:03:15 time: 0.0513 data_time: 0.0067 memory: 679 2022/12/03 09:48:55 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:03:14 time: 0.0498 data_time: 0.0067 memory: 679 2022/12/03 09:48:56 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:03:13 time: 0.0526 data_time: 0.0073 memory: 679 2022/12/03 09:48:57 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:03:11 time: 0.0495 data_time: 0.0058 memory: 679 2022/12/03 09:48:58 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:03:10 time: 0.0524 data_time: 0.0077 memory: 679 2022/12/03 09:48:59 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:03:09 time: 0.0526 data_time: 0.0080 memory: 733 2022/12/03 09:49:00 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:03:08 time: 0.0574 data_time: 0.0100 memory: 733 2022/12/03 09:49:01 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:03:07 time: 0.0598 data_time: 0.0077 memory: 733 2022/12/03 09:49:02 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:03:06 time: 0.0534 data_time: 0.0076 memory: 733 2022/12/03 09:49:03 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:03:05 time: 0.0528 data_time: 0.0092 memory: 702 2022/12/03 09:49:04 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:03:04 time: 0.0533 data_time: 0.0077 memory: 702 2022/12/03 09:49:06 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:03:02 time: 0.0539 data_time: 0.0070 memory: 702 2022/12/03 09:49:07 - mmengine - INFO - Epoch(val) [2][3000/6282] eta: 0:03:01 time: 0.0512 data_time: 0.0083 memory: 702 2022/12/03 09:49:08 - mmengine - INFO - Epoch(val) [2][3020/6282] eta: 0:03:00 time: 0.0523 data_time: 0.0074 memory: 733 2022/12/03 09:49:09 - mmengine - INFO - Epoch(val) [2][3040/6282] eta: 0:02:59 time: 0.0504 data_time: 0.0064 memory: 733 2022/12/03 09:49:10 - mmengine - INFO - Epoch(val) [2][3060/6282] eta: 0:02:58 time: 0.0569 data_time: 0.0071 memory: 733 2022/12/03 09:49:11 - mmengine - INFO - Epoch(val) [2][3080/6282] eta: 0:02:57 time: 0.0542 data_time: 0.0053 memory: 733 2022/12/03 09:49:12 - mmengine - INFO - Epoch(val) [2][3100/6282] eta: 0:02:56 time: 0.0538 data_time: 0.0090 memory: 733 2022/12/03 09:49:13 - mmengine - INFO - Epoch(val) [2][3120/6282] eta: 0:02:54 time: 0.0517 data_time: 0.0096 memory: 679 2022/12/03 09:49:14 - mmengine - INFO - Epoch(val) [2][3140/6282] eta: 0:02:53 time: 0.0546 data_time: 0.0069 memory: 679 2022/12/03 09:49:15 - mmengine - INFO - Epoch(val) [2][3160/6282] eta: 0:02:52 time: 0.0530 data_time: 0.0077 memory: 679 2022/12/03 09:49:16 - mmengine - INFO - Epoch(val) [2][3180/6282] eta: 0:02:51 time: 0.0528 data_time: 0.0080 memory: 679 2022/12/03 09:49:17 - mmengine - INFO - Epoch(val) [2][3200/6282] eta: 0:02:50 time: 0.0525 data_time: 0.0059 memory: 733 2022/12/03 09:49:18 - mmengine - INFO - Epoch(val) [2][3220/6282] eta: 0:02:49 time: 0.0568 data_time: 0.0063 memory: 733 2022/12/03 09:49:20 - mmengine - INFO - Epoch(val) [2][3240/6282] eta: 0:02:48 time: 0.0569 data_time: 0.0076 memory: 733 2022/12/03 09:49:21 - mmengine - INFO - Epoch(val) [2][3260/6282] eta: 0:02:46 time: 0.0543 data_time: 0.0079 memory: 733 2022/12/03 09:49:22 - mmengine - INFO - Epoch(val) [2][3280/6282] eta: 0:02:45 time: 0.0519 data_time: 0.0052 memory: 733 2022/12/03 09:49:23 - mmengine - INFO - Epoch(val) [2][3300/6282] eta: 0:02:44 time: 0.0594 data_time: 0.0102 memory: 733 2022/12/03 09:49:24 - mmengine - INFO - Epoch(val) [2][3320/6282] eta: 0:02:43 time: 0.0550 data_time: 0.0084 memory: 733 2022/12/03 09:49:25 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:02:42 time: 0.0568 data_time: 0.0070 memory: 733 2022/12/03 09:49:26 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:02:41 time: 0.0557 data_time: 0.0061 memory: 733 2022/12/03 09:49:27 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:02:40 time: 0.0518 data_time: 0.0066 memory: 733 2022/12/03 09:49:28 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:02:39 time: 0.0551 data_time: 0.0082 memory: 674 2022/12/03 09:49:29 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:02:38 time: 0.0533 data_time: 0.0061 memory: 674 2022/12/03 09:49:30 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:02:36 time: 0.0511 data_time: 0.0071 memory: 674 2022/12/03 09:49:31 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:02:35 time: 0.0526 data_time: 0.0064 memory: 674 2022/12/03 09:49:33 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:02:34 time: 0.0514 data_time: 0.0094 memory: 674 2022/12/03 09:49:33 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:02:33 time: 0.0493 data_time: 0.0078 memory: 674 2022/12/03 09:49:35 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:02:32 time: 0.0527 data_time: 0.0074 memory: 674 2022/12/03 09:49:36 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:02:31 time: 0.0503 data_time: 0.0073 memory: 674 2022/12/03 09:49:37 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:02:29 time: 0.0534 data_time: 0.0097 memory: 674 2022/12/03 09:49:38 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:02:28 time: 0.0522 data_time: 0.0093 memory: 716 2022/12/03 09:49:39 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:02:27 time: 0.0519 data_time: 0.0072 memory: 716 2022/12/03 09:49:40 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:02:26 time: 0.0512 data_time: 0.0065 memory: 716 2022/12/03 09:49:41 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:02:25 time: 0.0496 data_time: 0.0066 memory: 716 2022/12/03 09:49:42 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:02:24 time: 0.0519 data_time: 0.0078 memory: 716 2022/12/03 09:49:43 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:02:23 time: 0.0539 data_time: 0.0083 memory: 733 2022/12/03 09:49:44 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:02:22 time: 0.0572 data_time: 0.0076 memory: 733 2022/12/03 09:49:45 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:02:20 time: 0.0579 data_time: 0.0067 memory: 733 2022/12/03 09:49:46 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:02:19 time: 0.0543 data_time: 0.0084 memory: 733 2022/12/03 09:49:47 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:02:18 time: 0.0572 data_time: 0.0069 memory: 733 2022/12/03 09:49:48 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:02:17 time: 0.0537 data_time: 0.0078 memory: 733 2022/12/03 09:49:50 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:02:16 time: 0.0577 data_time: 0.0084 memory: 733 2022/12/03 09:49:51 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:02:15 time: 0.0630 data_time: 0.0141 memory: 733 2022/12/03 09:49:52 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:02:14 time: 0.0607 data_time: 0.0096 memory: 733 2022/12/03 09:49:53 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:02:13 time: 0.0577 data_time: 0.0083 memory: 733 2022/12/03 09:49:54 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:02:12 time: 0.0579 data_time: 0.0104 memory: 733 2022/12/03 09:49:56 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:02:11 time: 0.0572 data_time: 0.0078 memory: 733 2022/12/03 09:49:57 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:02:10 time: 0.0548 data_time: 0.0087 memory: 733 2022/12/03 09:49:58 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:02:09 time: 0.0589 data_time: 0.0074 memory: 733 2022/12/03 09:49:59 - mmengine - INFO - Epoch(val) [2][3960/6282] eta: 0:02:08 time: 0.0588 data_time: 0.0066 memory: 733 2022/12/03 09:50:00 - mmengine - INFO - Epoch(val) [2][3980/6282] eta: 0:02:07 time: 0.0556 data_time: 0.0069 memory: 733 2022/12/03 09:50:01 - mmengine - INFO - Epoch(val) [2][4000/6282] eta: 0:02:05 time: 0.0547 data_time: 0.0068 memory: 733 2022/12/03 09:50:02 - mmengine - INFO - Epoch(val) [2][4020/6282] eta: 0:02:04 time: 0.0535 data_time: 0.0092 memory: 733 2022/12/03 09:50:03 - mmengine - INFO - Epoch(val) [2][4040/6282] eta: 0:02:03 time: 0.0552 data_time: 0.0066 memory: 812 2022/12/03 09:50:05 - mmengine - INFO - Epoch(val) [2][4060/6282] eta: 0:02:02 time: 0.0659 data_time: 0.0156 memory: 812 2022/12/03 09:50:06 - mmengine - INFO - Epoch(val) [2][4080/6282] eta: 0:02:01 time: 0.0596 data_time: 0.0065 memory: 812 2022/12/03 09:50:07 - mmengine - INFO - Epoch(val) [2][4100/6282] eta: 0:02:00 time: 0.0599 data_time: 0.0065 memory: 812 2022/12/03 09:50:08 - mmengine - INFO - Epoch(val) [2][4120/6282] eta: 0:01:59 time: 0.0598 data_time: 0.0064 memory: 812 2022/12/03 09:50:09 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:01:58 time: 0.0585 data_time: 0.0088 memory: 812 2022/12/03 09:50:11 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:01:57 time: 0.0518 data_time: 0.0091 memory: 674 2022/12/03 09:50:12 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:01:56 time: 0.0541 data_time: 0.0079 memory: 674 2022/12/03 09:50:13 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:01:55 time: 0.0572 data_time: 0.0101 memory: 674 2022/12/03 09:50:14 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:01:53 time: 0.0550 data_time: 0.0104 memory: 674 2022/12/03 09:50:15 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:01:52 time: 0.0559 data_time: 0.0091 memory: 674 2022/12/03 09:50:16 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:01:51 time: 0.0489 data_time: 0.0081 memory: 673 2022/12/03 09:50:17 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:01:50 time: 0.0534 data_time: 0.0076 memory: 673 2022/12/03 09:50:18 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:01:49 time: 0.0524 data_time: 0.0101 memory: 673 2022/12/03 09:50:19 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:01:48 time: 0.0507 data_time: 0.0066 memory: 673 2022/12/03 09:50:20 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:01:47 time: 0.0489 data_time: 0.0085 memory: 673 2022/12/03 09:50:21 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:01:46 time: 0.0552 data_time: 0.0063 memory: 733 2022/12/03 09:50:22 - mmengine - INFO - Epoch(val) [2][4380/6282] eta: 0:01:44 time: 0.0534 data_time: 0.0067 memory: 733 2022/12/03 09:50:23 - mmengine - INFO - Epoch(val) [2][4400/6282] eta: 0:01:43 time: 0.0509 data_time: 0.0040 memory: 733 2022/12/03 09:50:24 - mmengine - INFO - Epoch(val) [2][4420/6282] eta: 0:01:42 time: 0.0556 data_time: 0.0080 memory: 733 2022/12/03 09:50:25 - mmengine - INFO - Epoch(val) [2][4440/6282] eta: 0:01:41 time: 0.0545 data_time: 0.0057 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09:50:35 - mmengine - INFO - Epoch(val) [2][4620/6282] eta: 0:01:31 time: 0.0525 data_time: 0.0060 memory: 679 2022/12/03 09:50:36 - mmengine - INFO - Epoch(val) [2][4640/6282] eta: 0:01:30 time: 0.0539 data_time: 0.0063 memory: 740 2022/12/03 09:50:37 - mmengine - INFO - Epoch(val) [2][4660/6282] eta: 0:01:29 time: 0.0548 data_time: 0.0065 memory: 740 2022/12/03 09:50:39 - mmengine - INFO - Epoch(val) [2][4680/6282] eta: 0:01:28 time: 0.0637 data_time: 0.0161 memory: 740 2022/12/03 09:50:40 - mmengine - INFO - Epoch(val) [2][4700/6282] eta: 0:01:27 time: 0.0568 data_time: 0.0110 memory: 740 2022/12/03 09:50:41 - mmengine - INFO - Epoch(val) [2][4720/6282] eta: 0:01:26 time: 0.0523 data_time: 0.0050 memory: 740 2022/12/03 09:50:42 - mmengine - INFO - Epoch(val) [2][4740/6282] eta: 0:01:25 time: 0.0496 data_time: 0.0059 memory: 699 2022/12/03 09:50:43 - mmengine - INFO - Epoch(val) [2][4760/6282] eta: 0:01:23 time: 0.0528 data_time: 0.0083 memory: 699 2022/12/03 09:50:44 - mmengine - INFO - Epoch(val) [2][4780/6282] eta: 0:01:22 time: 0.0522 data_time: 0.0063 memory: 699 2022/12/03 09:50:45 - mmengine - INFO - Epoch(val) [2][4800/6282] eta: 0:01:21 time: 0.0510 data_time: 0.0052 memory: 699 2022/12/03 09:50:46 - mmengine - INFO - Epoch(val) [2][4820/6282] eta: 0:01:20 time: 0.0559 data_time: 0.0099 memory: 733 2022/12/03 09:50:47 - mmengine - INFO - Epoch(val) [2][4840/6282] eta: 0:01:19 time: 0.0563 data_time: 0.0089 memory: 733 2022/12/03 09:50:48 - mmengine - INFO - Epoch(val) [2][4860/6282] eta: 0:01:18 time: 0.0527 data_time: 0.0089 memory: 733 2022/12/03 09:50:49 - mmengine - INFO - Epoch(val) [2][4880/6282] eta: 0:01:17 time: 0.0528 data_time: 0.0074 memory: 733 2022/12/03 09:50:51 - mmengine - INFO - Epoch(val) [2][4900/6282] eta: 0:01:16 time: 0.0557 data_time: 0.0073 memory: 733 2022/12/03 09:50:52 - mmengine - INFO - Epoch(val) [2][4920/6282] eta: 0:01:15 time: 0.0543 data_time: 0.0055 memory: 736 2022/12/03 09:50:53 - mmengine - INFO - Epoch(val) 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data_time: 0.0066 memory: 673 2022/12/03 09:51:11 - mmengine - INFO - Epoch(val) [2][5280/6282] eta: 0:00:55 time: 0.0525 data_time: 0.0070 memory: 673 2022/12/03 09:51:12 - mmengine - INFO - Epoch(val) [2][5300/6282] eta: 0:00:53 time: 0.0523 data_time: 0.0057 memory: 673 2022/12/03 09:51:13 - mmengine - INFO - Epoch(val) [2][5320/6282] eta: 0:00:52 time: 0.0543 data_time: 0.0071 memory: 674 2022/12/03 09:51:14 - mmengine - INFO - Epoch(val) [2][5340/6282] eta: 0:00:51 time: 0.0532 data_time: 0.0066 memory: 674 2022/12/03 09:51:15 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:00:50 time: 0.0544 data_time: 0.0083 memory: 674 2022/12/03 09:51:16 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:00:49 time: 0.0533 data_time: 0.0081 memory: 674 2022/12/03 09:51:17 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:00:48 time: 0.0553 data_time: 0.0117 memory: 674 2022/12/03 09:51:18 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:00:47 time: 0.0504 data_time: 0.0062 memory: 674 2022/12/03 09:51:19 - mmengine - INFO - Epoch(val) [2][5440/6282] eta: 0:00:46 time: 0.0548 data_time: 0.0082 memory: 674 2022/12/03 09:51:20 - mmengine - INFO - Epoch(val) [2][5460/6282] eta: 0:00:45 time: 0.0511 data_time: 0.0092 memory: 674 2022/12/03 09:51:21 - mmengine - INFO - Epoch(val) [2][5480/6282] eta: 0:00:44 time: 0.0509 data_time: 0.0071 memory: 674 2022/12/03 09:51:23 - mmengine - INFO - Epoch(val) [2][5500/6282] eta: 0:00:42 time: 0.0583 data_time: 0.0088 memory: 674 2022/12/03 09:51:24 - mmengine - INFO - Epoch(val) [2][5520/6282] eta: 0:00:41 time: 0.0529 data_time: 0.0082 memory: 695 2022/12/03 09:51:25 - mmengine - INFO - Epoch(val) [2][5540/6282] eta: 0:00:40 time: 0.0508 data_time: 0.0083 memory: 695 2022/12/03 09:51:26 - mmengine - INFO - Epoch(val) [2][5560/6282] eta: 0:00:39 time: 0.0519 data_time: 0.0075 memory: 695 2022/12/03 09:51:27 - mmengine - INFO - Epoch(val) [2][5580/6282] eta: 0:00:38 time: 0.0519 data_time: 0.0096 memory: 695 2022/12/03 09:51:28 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:00:37 time: 0.0536 data_time: 0.0082 memory: 695 2022/12/03 09:51:29 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:00:36 time: 0.0564 data_time: 0.0099 memory: 695 2022/12/03 09:51:30 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:35 time: 0.0509 data_time: 0.0050 memory: 674 2022/12/03 09:51:31 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:34 time: 0.0512 data_time: 0.0072 memory: 674 2022/12/03 09:51:32 - mmengine - INFO - Epoch(val) [2][5680/6282] eta: 0:00:32 time: 0.0488 data_time: 0.0068 memory: 674 2022/12/03 09:51:33 - mmengine - INFO - Epoch(val) [2][5700/6282] eta: 0:00:31 time: 0.0542 data_time: 0.0077 memory: 674 2022/12/03 09:51:34 - mmengine - INFO - Epoch(val) [2][5720/6282] eta: 0:00:30 time: 0.0500 data_time: 0.0053 memory: 708 2022/12/03 09:51:35 - mmengine - INFO - Epoch(val) [2][5740/6282] eta: 0:00:29 time: 0.0528 data_time: 0.0077 memory: 708 2022/12/03 09:51:36 - mmengine - INFO - Epoch(val) [2][5760/6282] eta: 0:00:28 time: 0.0519 data_time: 0.0066 memory: 708 2022/12/03 09:51:37 - mmengine - INFO - Epoch(val) [2][5780/6282] eta: 0:00:27 time: 0.0549 data_time: 0.0080 memory: 708 2022/12/03 09:51:38 - mmengine - INFO - Epoch(val) [2][5800/6282] eta: 0:00:26 time: 0.0540 data_time: 0.0065 memory: 708 2022/12/03 09:51:39 - mmengine - INFO - Epoch(val) [2][5820/6282] eta: 0:00:25 time: 0.0533 data_time: 0.0079 memory: 708 2022/12/03 09:51:40 - mmengine - INFO - Epoch(val) [2][5840/6282] eta: 0:00:24 time: 0.0540 data_time: 0.0072 memory: 695 2022/12/03 09:51:42 - mmengine - INFO - Epoch(val) [2][5860/6282] eta: 0:00:23 time: 0.0528 data_time: 0.0090 memory: 695 2022/12/03 09:51:43 - mmengine - INFO - Epoch(val) [2][5880/6282] eta: 0:00:22 time: 0.0541 data_time: 0.0079 memory: 695 2022/12/03 09:51:44 - mmengine - INFO - Epoch(val) [2][5900/6282] eta: 0:00:20 time: 0.0499 data_time: 0.0061 memory: 695 2022/12/03 09:51:45 - mmengine - INFO - Epoch(val) 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0:00:11 time: 0.0545 data_time: 0.0057 memory: 733 2022/12/03 09:51:54 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:09 time: 0.0569 data_time: 0.0084 memory: 733 2022/12/03 09:51:55 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:08 time: 0.0569 data_time: 0.0075 memory: 733 2022/12/03 09:51:56 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:07 time: 0.0560 data_time: 0.0067 memory: 733 2022/12/03 09:51:58 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:06 time: 0.0545 data_time: 0.0074 memory: 733 2022/12/03 09:51:59 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:05 time: 0.0576 data_time: 0.0074 memory: 733 2022/12/03 09:52:00 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:04 time: 0.0544 data_time: 0.0058 memory: 733 2022/12/03 09:52:01 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:03 time: 0.0453 data_time: 0.0058 memory: 733 2022/12/03 09:52:02 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:02 time: 0.0434 data_time: 0.0054 memory: 733 2022/12/03 09:52:03 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:01 time: 0.0468 data_time: 0.0064 memory: 733 2022/12/03 09:52:03 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.0448 data_time: 0.0063 memory: 733 2022/12/03 09:58:16 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2408 2022/12/03 09:58:16 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_1.pth is removed 2022/12/03 09:58:18 - mmengine - INFO - The best checkpoint with 0.2408 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2022/12/03 09:58:26 - mmengine - INFO - Epoch(train) [3][ 20/4451] lr: 1.0000e-01 eta: 3:18:33 time: 0.3864 data_time: 0.0571 memory: 8510 grad_norm: 0.1372 loss: 0.0565 recall@thr=0.5: 0.3740 prec@thr=0.5: 0.4600 recall@top3: 0.5180 prec@top3: 0.4533 recall@top5: 0.7240 prec@top5: 0.3520 loss_action_cls: 0.0565 2022/12/03 09:58:33 - mmengine - INFO - Epoch(train) [3][ 40/4451] lr: 1.0000e-01 eta: 3:18:26 time: 0.3356 data_time: 0.0110 memory: 8510 grad_norm: 0.1447 loss: 0.0622 recall@thr=0.5: 0.5101 prec@thr=0.5: 0.6964 recall@top3: 0.7274 prec@top3: 0.6667 recall@top5: 0.8845 prec@top5: 0.4929 loss_action_cls: 0.0622 2022/12/03 09:58:40 - mmengine - INFO - Epoch(train) [3][ 60/4451] lr: 9.9999e-02 eta: 3:18:20 time: 0.3363 data_time: 0.0124 memory: 8510 grad_norm: 0.1410 loss: 0.0676 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5833 recall@top3: 0.7167 prec@top3: 0.6167 recall@top5: 0.8667 prec@top5: 0.4600 loss_action_cls: 0.0676 2022/12/03 09:58:46 - mmengine - INFO - Epoch(train) [3][ 80/4451] lr: 9.9999e-02 eta: 3:18:13 time: 0.3349 data_time: 0.0127 memory: 8510 grad_norm: 0.1446 loss: 0.0591 recall@thr=0.5: 0.6317 prec@thr=0.5: 0.6452 recall@top3: 0.7177 prec@top3: 0.5806 recall@top5: 0.8495 prec@top5: 0.4194 loss_action_cls: 0.0591 2022/12/03 09:58:52 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 09:58:53 - mmengine - INFO - Epoch(train) [3][ 100/4451] lr: 9.9998e-02 eta: 3:18:06 time: 0.3343 data_time: 0.0132 memory: 8510 grad_norm: 0.1448 loss: 0.0611 recall@thr=0.5: 0.4790 prec@thr=0.5: 0.6875 recall@top3: 0.7929 prec@top3: 0.5972 recall@top5: 0.9117 prec@top5: 0.4250 loss_action_cls: 0.0611 2022/12/03 09:59:00 - mmengine - INFO - Epoch(train) [3][ 120/4451] lr: 9.9997e-02 eta: 3:18:00 time: 0.3331 data_time: 0.0133 memory: 8510 grad_norm: 0.1364 loss: 0.0588 recall@thr=0.5: 0.4127 prec@thr=0.5: 0.6508 recall@top3: 0.7183 prec@top3: 0.5873 recall@top5: 0.8730 prec@top5: 0.4381 loss_action_cls: 0.0588 2022/12/03 09:59:06 - mmengine - INFO - Epoch(train) [3][ 140/4451] lr: 9.9996e-02 eta: 3:17:53 time: 0.3353 data_time: 0.0120 memory: 8510 grad_norm: 0.1426 loss: 0.0635 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.8307 recall@top3: 0.7839 prec@top3: 0.6250 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.0635 2022/12/03 09:59:13 - mmengine - INFO - Epoch(train) [3][ 160/4451] lr: 9.9995e-02 eta: 3:17:46 time: 0.3330 data_time: 0.0113 memory: 8510 grad_norm: 0.1434 loss: 0.0610 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.7917 recall@top3: 0.7083 prec@top3: 0.6000 recall@top5: 0.8208 prec@top5: 0.4400 loss_action_cls: 0.0610 2022/12/03 09:59:20 - mmengine - INFO - Epoch(train) [3][ 180/4451] lr: 9.9994e-02 eta: 3:17:39 time: 0.3339 data_time: 0.0131 memory: 8510 grad_norm: 0.1439 loss: 0.0622 recall@thr=0.5: 0.5295 prec@thr=0.5: 0.7121 recall@top3: 0.7242 prec@top3: 0.5758 recall@top5: 0.8886 prec@top5: 0.4273 loss_action_cls: 0.0622 2022/12/03 09:59:26 - mmengine - INFO - Epoch(train) [3][ 200/4451] lr: 9.9992e-02 eta: 3:17:33 time: 0.3341 data_time: 0.0112 memory: 8510 grad_norm: 0.1539 loss: 0.0548 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8214 recall@top3: 0.8214 prec@top3: 0.5714 recall@top5: 0.9286 prec@top5: 0.4000 loss_action_cls: 0.0548 2022/12/03 09:59:33 - mmengine - INFO - Epoch(train) [3][ 220/4451] lr: 9.9991e-02 eta: 3:17:26 time: 0.3364 data_time: 0.0110 memory: 8510 grad_norm: 0.1430 loss: 0.0525 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.8158 recall@top3: 0.8904 prec@top3: 0.6667 recall@top5: 0.9561 prec@top5: 0.4421 loss_action_cls: 0.0525 2022/12/03 09:59:40 - mmengine - INFO - Epoch(train) [3][ 240/4451] lr: 9.9989e-02 eta: 3:17:19 time: 0.3339 data_time: 0.0116 memory: 8510 grad_norm: 0.1335 loss: 0.0631 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.7377 recall@top3: 0.8421 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4421 loss_action_cls: 0.0631 2022/12/03 09:59:46 - mmengine - INFO - Epoch(train) [3][ 260/4451] lr: 9.9987e-02 eta: 3:17:13 time: 0.3340 data_time: 0.0158 memory: 8510 grad_norm: 0.1411 loss: 0.0555 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.8070 recall@top3: 0.7719 prec@top3: 0.6140 recall@top5: 0.8860 prec@top5: 0.4316 loss_action_cls: 0.0555 2022/12/03 09:59:53 - mmengine - INFO - Epoch(train) [3][ 280/4451] lr: 9.9985e-02 eta: 3:17:06 time: 0.3357 data_time: 0.0133 memory: 8510 grad_norm: 0.1489 loss: 0.0557 recall@thr=0.5: 0.6492 prec@thr=0.5: 0.8750 recall@top3: 0.7450 prec@top3: 0.7333 recall@top5: 0.8800 prec@top5: 0.5400 loss_action_cls: 0.0557 2022/12/03 10:00:00 - mmengine - INFO - Epoch(train) [3][ 300/4451] lr: 9.9983e-02 eta: 3:16:59 time: 0.3345 data_time: 0.0140 memory: 8510 grad_norm: 0.1467 loss: 0.0615 recall@thr=0.5: 0.4811 prec@thr=0.5: 0.6879 recall@top3: 0.5985 prec@top3: 0.5455 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0615 2022/12/03 10:00:07 - mmengine - INFO - Epoch(train) [3][ 320/4451] lr: 9.9980e-02 eta: 3:16:53 time: 0.3371 data_time: 0.0116 memory: 8510 grad_norm: 0.1357 loss: 0.0549 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.6377 recall@top3: 0.8684 prec@top3: 0.5439 recall@top5: 0.9605 prec@top5: 0.3895 loss_action_cls: 0.0549 2022/12/03 10:00:13 - mmengine - INFO - Epoch(train) [3][ 340/4451] lr: 9.9978e-02 eta: 3:16:46 time: 0.3367 data_time: 0.0146 memory: 8510 grad_norm: 0.1362 loss: 0.0628 recall@thr=0.5: 0.5469 prec@thr=0.5: 0.5156 recall@top3: 0.7109 prec@top3: 0.5729 recall@top5: 0.8646 prec@top5: 0.4187 loss_action_cls: 0.0628 2022/12/03 10:00:20 - mmengine - INFO - Epoch(train) [3][ 360/4451] lr: 9.9975e-02 eta: 3:16:39 time: 0.3343 data_time: 0.0144 memory: 8510 grad_norm: 0.1450 loss: 0.0662 recall@thr=0.5: 0.3409 prec@thr=0.5: 0.5530 recall@top3: 0.7159 prec@top3: 0.5758 recall@top5: 0.8598 prec@top5: 0.4364 loss_action_cls: 0.0662 2022/12/03 10:00:27 - mmengine - INFO - Epoch(train) [3][ 380/4451] lr: 9.9972e-02 eta: 3:16:33 time: 0.3336 data_time: 0.0122 memory: 8510 grad_norm: 0.1496 loss: 0.0630 recall@thr=0.5: 0.4638 prec@thr=0.5: 0.6304 recall@top3: 0.6920 prec@top3: 0.6087 recall@top5: 0.9203 prec@top5: 0.4870 loss_action_cls: 0.0630 2022/12/03 10:00:33 - mmengine - INFO - Epoch(train) [3][ 400/4451] lr: 9.9969e-02 eta: 3:16:26 time: 0.3347 data_time: 0.0141 memory: 8510 grad_norm: 0.1428 loss: 0.0524 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.8571 recall@top3: 0.8651 prec@top3: 0.7302 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0524 2022/12/03 10:00:40 - mmengine - INFO - Epoch(train) [3][ 420/4451] lr: 9.9966e-02 eta: 3:16:19 time: 0.3333 data_time: 0.0130 memory: 8510 grad_norm: 0.1428 loss: 0.0597 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.6429 recall@top3: 0.7381 prec@top3: 0.5000 recall@top5: 0.9762 prec@top5: 0.3857 loss_action_cls: 0.0597 2022/12/03 10:00:47 - mmengine - INFO - Epoch(train) [3][ 440/4451] lr: 9.9963e-02 eta: 3:16:13 time: 0.3358 data_time: 0.0124 memory: 8510 grad_norm: 0.1415 loss: 0.0566 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.7099 recall@top3: 0.8457 prec@top3: 0.6296 recall@top5: 0.9753 prec@top5: 0.4519 loss_action_cls: 0.0566 2022/12/03 10:00:53 - mmengine - INFO - Epoch(train) [3][ 460/4451] lr: 9.9959e-02 eta: 3:16:06 time: 0.3341 data_time: 0.0129 memory: 8510 grad_norm: 0.1437 loss: 0.0585 recall@thr=0.5: 0.5083 prec@thr=0.5: 0.6542 recall@top3: 0.7667 prec@top3: 0.5833 recall@top5: 0.9750 prec@top5: 0.4800 loss_action_cls: 0.0585 2022/12/03 10:01:00 - mmengine - INFO - Epoch(train) [3][ 480/4451] lr: 9.9955e-02 eta: 3:15:59 time: 0.3353 data_time: 0.0119 memory: 8510 grad_norm: 0.1404 loss: 0.0562 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8704 recall@top3: 0.8935 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0562 2022/12/03 10:01:07 - mmengine - INFO - Epoch(train) [3][ 500/4451] lr: 9.9952e-02 eta: 3:15:52 time: 0.3357 data_time: 0.0112 memory: 8510 grad_norm: 0.1415 loss: 0.0594 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.7639 recall@top3: 0.6563 prec@top3: 0.6250 recall@top5: 0.7847 prec@top5: 0.4583 loss_action_cls: 0.0594 2022/12/03 10:01:14 - mmengine - INFO - Epoch(train) [3][ 520/4451] lr: 9.9948e-02 eta: 3:15:46 time: 0.3343 data_time: 0.0122 memory: 8510 grad_norm: 0.1435 loss: 0.0555 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6157 recall@top3: 0.6852 prec@top3: 0.5370 recall@top5: 0.8056 prec@top5: 0.3889 loss_action_cls: 0.0555 2022/12/03 10:01:20 - mmengine - INFO - Epoch(train) [3][ 540/4451] lr: 9.9943e-02 eta: 3:15:39 time: 0.3362 data_time: 0.0129 memory: 8510 grad_norm: 0.1469 loss: 0.0636 recall@thr=0.5: 0.4681 prec@thr=0.5: 0.5145 recall@top3: 0.5478 prec@top3: 0.4638 recall@top5: 0.9203 prec@top5: 0.4261 loss_action_cls: 0.0636 2022/12/03 10:01:27 - mmengine - INFO - Epoch(train) [3][ 560/4451] lr: 9.9939e-02 eta: 3:15:32 time: 0.3347 data_time: 0.0128 memory: 8510 grad_norm: 0.1439 loss: 0.0601 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5789 recall@top3: 0.6667 prec@top3: 0.5614 recall@top5: 0.8860 prec@top5: 0.4000 loss_action_cls: 0.0601 2022/12/03 10:01:34 - mmengine - INFO - Epoch(train) [3][ 580/4451] lr: 9.9935e-02 eta: 3:15:26 time: 0.3345 data_time: 0.0136 memory: 8510 grad_norm: 0.1517 loss: 0.0571 recall@thr=0.5: 0.4534 prec@thr=0.5: 0.5920 recall@top3: 0.8046 prec@top3: 0.7931 recall@top5: 0.9034 prec@top5: 0.5310 loss_action_cls: 0.0571 2022/12/03 10:01:40 - mmengine - INFO - Epoch(train) [3][ 600/4451] lr: 9.9930e-02 eta: 3:15:19 time: 0.3344 data_time: 0.0119 memory: 8510 grad_norm: 0.1512 loss: 0.0528 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.8593 recall@top3: 0.7639 prec@top3: 0.7407 recall@top5: 0.9444 prec@top5: 0.5556 loss_action_cls: 0.0528 2022/12/03 10:01:47 - mmengine - INFO - Epoch(train) [3][ 620/4451] lr: 9.9925e-02 eta: 3:15:12 time: 0.3347 data_time: 0.0114 memory: 8510 grad_norm: 0.1504 loss: 0.0582 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.6667 recall@top3: 0.8778 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.3333 loss_action_cls: 0.0582 2022/12/03 10:01:54 - mmengine - INFO - Epoch(train) [3][ 640/4451] lr: 9.9921e-02 eta: 3:15:06 time: 0.3345 data_time: 0.0122 memory: 8510 grad_norm: 0.1460 loss: 0.0566 recall@thr=0.5: 0.6264 prec@thr=0.5: 0.6609 recall@top3: 0.6466 prec@top3: 0.6092 recall@top5: 0.8851 prec@top5: 0.4828 loss_action_cls: 0.0566 2022/12/03 10:02:00 - mmengine - INFO - Epoch(train) [3][ 660/4451] lr: 9.9916e-02 eta: 3:14:59 time: 0.3344 data_time: 0.0126 memory: 8510 grad_norm: 0.1398 loss: 0.0561 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8000 recall@top3: 0.7667 prec@top3: 0.6000 recall@top5: 0.8917 prec@top5: 0.4300 loss_action_cls: 0.0561 2022/12/03 10:02:07 - mmengine - INFO - Epoch(train) [3][ 680/4451] lr: 9.9910e-02 eta: 3:14:52 time: 0.3339 data_time: 0.0131 memory: 8510 grad_norm: 0.1376 loss: 0.0584 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.6961 recall@top3: 0.7451 prec@top3: 0.4902 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0584 2022/12/03 10:02:14 - mmengine - INFO - Epoch(train) [3][ 700/4451] lr: 9.9905e-02 eta: 3:14:45 time: 0.3340 data_time: 0.0113 memory: 8510 grad_norm: 0.1337 loss: 0.0552 recall@thr=0.5: 0.6542 prec@thr=0.5: 0.6750 recall@top3: 0.8625 prec@top3: 0.6833 recall@top5: 0.9167 prec@top5: 0.4400 loss_action_cls: 0.0552 2022/12/03 10:02:21 - mmengine - INFO - Epoch(train) [3][ 720/4451] lr: 9.9899e-02 eta: 3:14:39 time: 0.3364 data_time: 0.0129 memory: 8510 grad_norm: 0.1430 loss: 0.0635 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.8750 recall@top3: 0.8906 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0635 2022/12/03 10:02:27 - mmengine - INFO - Epoch(train) [3][ 740/4451] lr: 9.9894e-02 eta: 3:14:32 time: 0.3346 data_time: 0.0121 memory: 8510 grad_norm: 0.1487 loss: 0.0554 recall@thr=0.5: 0.2222 prec@thr=0.5: 0.3194 recall@top3: 0.4583 prec@top3: 0.3611 recall@top5: 0.6528 prec@top5: 0.2833 loss_action_cls: 0.0554 2022/12/03 10:02:34 - mmengine - INFO - Epoch(train) [3][ 760/4451] lr: 9.9888e-02 eta: 3:14:25 time: 0.3333 data_time: 0.0119 memory: 8510 grad_norm: 0.1380 loss: 0.0561 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.5741 recall@top3: 0.6991 prec@top3: 0.5741 recall@top5: 0.9028 prec@top5: 0.4556 loss_action_cls: 0.0561 2022/12/03 10:02:41 - mmengine - INFO - Epoch(train) [3][ 780/4451] lr: 9.9882e-02 eta: 3:14:19 time: 0.3346 data_time: 0.0111 memory: 8510 grad_norm: 0.1398 loss: 0.0564 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7037 recall@top3: 0.7963 prec@top3: 0.6852 recall@top5: 0.9352 prec@top5: 0.4889 loss_action_cls: 0.0564 2022/12/03 10:02:47 - mmengine - INFO - Epoch(train) [3][ 800/4451] lr: 9.9876e-02 eta: 3:14:12 time: 0.3356 data_time: 0.0119 memory: 8510 grad_norm: 0.1429 loss: 0.0548 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.6522 recall@top3: 0.7899 prec@top3: 0.6232 recall@top5: 0.9203 prec@top5: 0.4609 loss_action_cls: 0.0548 2022/12/03 10:02:54 - mmengine - INFO - Epoch(train) [3][ 820/4451] lr: 9.9870e-02 eta: 3:14:05 time: 0.3341 data_time: 0.0141 memory: 8510 grad_norm: 0.1417 loss: 0.0513 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.6842 recall@top3: 0.8158 prec@top3: 0.5965 recall@top5: 0.8860 prec@top5: 0.4000 loss_action_cls: 0.0513 2022/12/03 10:03:01 - mmengine - INFO - Epoch(train) [3][ 840/4451] lr: 9.9863e-02 eta: 3:13:59 time: 0.3364 data_time: 0.0153 memory: 8510 grad_norm: 0.1387 loss: 0.0558 recall@thr=0.5: 0.5467 prec@thr=0.5: 0.5867 recall@top3: 0.6933 prec@top3: 0.5600 recall@top5: 0.8733 prec@top5: 0.4160 loss_action_cls: 0.0558 2022/12/03 10:03:07 - mmengine - INFO - Epoch(train) [3][ 860/4451] lr: 9.9856e-02 eta: 3:13:52 time: 0.3349 data_time: 0.0156 memory: 8510 grad_norm: 0.1438 loss: 0.0593 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.5778 recall@top3: 0.5500 prec@top3: 0.4889 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0593 2022/12/03 10:03:14 - mmengine - INFO - Epoch(train) [3][ 880/4451] lr: 9.9850e-02 eta: 3:13:45 time: 0.3342 data_time: 0.0124 memory: 8510 grad_norm: 0.1450 loss: 0.0553 recall@thr=0.5: 0.5243 prec@thr=0.5: 0.7014 recall@top3: 0.7778 prec@top3: 0.5278 recall@top5: 0.8924 prec@top5: 0.3917 loss_action_cls: 0.0553 2022/12/03 10:03:21 - mmengine - INFO - Epoch(train) [3][ 900/4451] lr: 9.9843e-02 eta: 3:13:38 time: 0.3341 data_time: 0.0120 memory: 8510 grad_norm: 0.1360 loss: 0.0608 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5556 recall@top3: 0.7500 prec@top3: 0.5185 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0608 2022/12/03 10:03:27 - mmengine - INFO - Epoch(train) [3][ 920/4451] lr: 9.9836e-02 eta: 3:13:32 time: 0.3348 data_time: 0.0130 memory: 8510 grad_norm: 0.1362 loss: 0.0621 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.7424 recall@top3: 0.7121 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.5273 loss_action_cls: 0.0621 2022/12/03 10:03:34 - mmengine - INFO - Epoch(train) [3][ 940/4451] lr: 9.9829e-02 eta: 3:13:25 time: 0.3351 data_time: 0.0118 memory: 8510 grad_norm: 0.1549 loss: 0.0585 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.7121 recall@top3: 0.7955 prec@top3: 0.6818 recall@top5: 0.8636 prec@top5: 0.4455 loss_action_cls: 0.0585 2022/12/03 10:03:41 - mmengine - INFO - Epoch(train) [3][ 960/4451] lr: 9.9821e-02 eta: 3:13:18 time: 0.3348 data_time: 0.0131 memory: 8510 grad_norm: 0.1401 loss: 0.0522 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.9474 recall@top3: 0.9386 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.3895 loss_action_cls: 0.0522 2022/12/03 10:03:48 - mmengine - INFO - Epoch(train) [3][ 980/4451] lr: 9.9814e-02 eta: 3:13:12 time: 0.3377 data_time: 0.0155 memory: 8510 grad_norm: 0.1675 loss: 0.0528 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.6176 recall@top3: 0.7745 prec@top3: 0.4510 recall@top5: 0.9706 prec@top5: 0.3529 loss_action_cls: 0.0528 2022/12/03 10:03:54 - mmengine - INFO - Epoch(train) [3][1000/4451] lr: 9.9806e-02 eta: 3:13:05 time: 0.3356 data_time: 0.0131 memory: 8510 grad_norm: 0.1423 loss: 0.0598 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.6404 recall@top3: 0.7193 prec@top3: 0.6140 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0598 2022/12/03 10:04:01 - mmengine - INFO - Epoch(train) [3][1020/4451] lr: 9.9798e-02 eta: 3:12:59 time: 0.3353 data_time: 0.0112 memory: 8510 grad_norm: 0.1464 loss: 0.0619 recall@thr=0.5: 0.7069 prec@thr=0.5: 0.6609 recall@top3: 0.8046 prec@top3: 0.5747 recall@top5: 0.9828 prec@top5: 0.4207 loss_action_cls: 0.0619 2022/12/03 10:04:08 - mmengine - INFO - Epoch(train) [3][1040/4451] lr: 9.9790e-02 eta: 3:12:52 time: 0.3364 data_time: 0.0134 memory: 8510 grad_norm: 0.1485 loss: 0.0567 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.5708 recall@top3: 0.7667 prec@top3: 0.5500 recall@top5: 0.8667 prec@top5: 0.3800 loss_action_cls: 0.0567 2022/12/03 10:04:14 - mmengine - INFO - Epoch(train) [3][1060/4451] lr: 9.9782e-02 eta: 3:12:45 time: 0.3351 data_time: 0.0131 memory: 8510 grad_norm: 0.1437 loss: 0.0613 recall@thr=0.5: 0.4422 prec@thr=0.5: 0.6373 recall@top3: 0.6382 prec@top3: 0.5294 recall@top5: 0.7745 prec@top5: 0.4000 loss_action_cls: 0.0613 2022/12/03 10:04:21 - mmengine - INFO - Epoch(train) [3][1080/4451] lr: 9.9774e-02 eta: 3:12:39 time: 0.3345 data_time: 0.0132 memory: 8510 grad_norm: 0.1385 loss: 0.0557 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.5417 recall@top3: 0.6354 prec@top3: 0.4792 recall@top5: 0.9062 prec@top5: 0.4125 loss_action_cls: 0.0557 2022/12/03 10:04:27 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:04:28 - mmengine - INFO - Epoch(train) [3][1100/4451] lr: 9.9765e-02 eta: 3:12:32 time: 0.3355 data_time: 0.0161 memory: 8510 grad_norm: 0.1392 loss: 0.0536 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6471 recall@top3: 0.8529 prec@top3: 0.5098 recall@top5: 0.8529 prec@top5: 0.3059 loss_action_cls: 0.0536 2022/12/03 10:04:35 - mmengine - INFO - Epoch(train) [3][1120/4451] lr: 9.9757e-02 eta: 3:12:25 time: 0.3348 data_time: 0.0120 memory: 8510 grad_norm: 0.1368 loss: 0.0615 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.7821 recall@top3: 0.7276 prec@top3: 0.7179 recall@top5: 0.8654 prec@top5: 0.5077 loss_action_cls: 0.0615 2022/12/03 10:04:41 - mmengine - INFO - Epoch(train) [3][1140/4451] lr: 9.9748e-02 eta: 3:12:19 time: 0.3353 data_time: 0.0115 memory: 8510 grad_norm: 0.1393 loss: 0.0598 recall@thr=0.5: 0.2174 prec@thr=0.5: 0.3696 recall@top3: 0.6304 prec@top3: 0.5072 recall@top5: 0.9022 prec@top5: 0.4435 loss_action_cls: 0.0598 2022/12/03 10:04:48 - mmengine - INFO - Epoch(train) [3][1160/4451] lr: 9.9739e-02 eta: 3:12:12 time: 0.3353 data_time: 0.0120 memory: 8510 grad_norm: 0.1368 loss: 0.0607 recall@thr=0.5: 0.4427 prec@thr=0.5: 0.4893 recall@top3: 0.6675 prec@top3: 0.5385 recall@top5: 0.9256 prec@top5: 0.4256 loss_action_cls: 0.0607 2022/12/03 10:04:55 - mmengine - INFO - Epoch(train) [3][1180/4451] lr: 9.9730e-02 eta: 3:12:05 time: 0.3334 data_time: 0.0119 memory: 8510 grad_norm: 0.1397 loss: 0.0651 recall@thr=0.5: 0.4491 prec@thr=0.5: 0.5185 recall@top3: 0.6991 prec@top3: 0.4444 recall@top5: 0.8241 prec@top5: 0.3333 loss_action_cls: 0.0651 2022/12/03 10:05:01 - mmengine - INFO - Epoch(train) [3][1200/4451] lr: 9.9721e-02 eta: 3:11:59 time: 0.3367 data_time: 0.0123 memory: 8510 grad_norm: 0.1496 loss: 0.0546 recall@thr=0.5: 0.6185 prec@thr=0.5: 0.8704 recall@top3: 0.7667 prec@top3: 0.6481 recall@top5: 0.8769 prec@top5: 0.4556 loss_action_cls: 0.0546 2022/12/03 10:05:08 - mmengine - INFO - Epoch(train) [3][1220/4451] lr: 9.9711e-02 eta: 3:11:52 time: 0.3339 data_time: 0.0115 memory: 8510 grad_norm: 0.1405 loss: 0.0566 recall@thr=0.5: 0.4846 prec@thr=0.5: 0.5216 recall@top3: 0.5864 prec@top3: 0.4815 recall@top5: 0.7747 prec@top5: 0.4074 loss_action_cls: 0.0566 2022/12/03 10:05:15 - mmengine - INFO - Epoch(train) [3][1240/4451] lr: 9.9702e-02 eta: 3:11:45 time: 0.3342 data_time: 0.0119 memory: 8510 grad_norm: 0.1339 loss: 0.0593 recall@thr=0.5: 0.3237 prec@thr=0.5: 0.4781 recall@top3: 0.6658 prec@top3: 0.5439 recall@top5: 0.8728 prec@top5: 0.4421 loss_action_cls: 0.0593 2022/12/03 10:05:21 - mmengine - INFO - Epoch(train) [3][1260/4451] lr: 9.9692e-02 eta: 3:11:38 time: 0.3332 data_time: 0.0133 memory: 8510 grad_norm: 0.1338 loss: 0.0552 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.6667 recall@top3: 0.7153 prec@top3: 0.4722 recall@top5: 0.8750 prec@top5: 0.3667 loss_action_cls: 0.0552 2022/12/03 10:05:28 - mmengine - INFO - Epoch(train) [3][1280/4451] lr: 9.9682e-02 eta: 3:11:32 time: 0.3344 data_time: 0.0118 memory: 8510 grad_norm: 0.1364 loss: 0.0627 recall@thr=0.5: 0.5340 prec@thr=0.5: 0.5895 recall@top3: 0.5957 prec@top3: 0.5679 recall@top5: 0.8735 prec@top5: 0.4963 loss_action_cls: 0.0627 2022/12/03 10:05:35 - mmengine - INFO - Epoch(train) [3][1300/4451] lr: 9.9672e-02 eta: 3:11:25 time: 0.3359 data_time: 0.0114 memory: 8510 grad_norm: 0.1403 loss: 0.0572 recall@thr=0.5: 0.5885 prec@thr=0.5: 0.6987 recall@top3: 0.7936 prec@top3: 0.5513 recall@top5: 0.8667 prec@top5: 0.3769 loss_action_cls: 0.0572 2022/12/03 10:05:42 - mmengine - INFO - Epoch(train) [3][1320/4451] lr: 9.9662e-02 eta: 3:11:18 time: 0.3346 data_time: 0.0111 memory: 8510 grad_norm: 0.1387 loss: 0.0530 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.7138 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9420 prec@top5: 0.4609 loss_action_cls: 0.0530 2022/12/03 10:05:48 - mmengine - INFO - Epoch(train) [3][1340/4451] lr: 9.9652e-02 eta: 3:11:12 time: 0.3353 data_time: 0.0110 memory: 8510 grad_norm: 0.1416 loss: 0.0614 recall@thr=0.5: 0.3867 prec@thr=0.5: 0.4600 recall@top3: 0.6067 prec@top3: 0.4400 recall@top5: 0.7800 prec@top5: 0.3600 loss_action_cls: 0.0614 2022/12/03 10:05:55 - mmengine - INFO - Epoch(train) [3][1360/4451] lr: 9.9641e-02 eta: 3:11:05 time: 0.3366 data_time: 0.0117 memory: 8510 grad_norm: 0.1475 loss: 0.0547 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.9275 recall@top3: 0.8478 prec@top3: 0.7246 recall@top5: 0.9638 prec@top5: 0.5043 loss_action_cls: 0.0547 2022/12/03 10:06:02 - mmengine - INFO - Epoch(train) [3][1380/4451] lr: 9.9630e-02 eta: 3:10:58 time: 0.3345 data_time: 0.0114 memory: 8510 grad_norm: 0.1491 loss: 0.0527 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.7652 recall@top3: 0.8636 prec@top3: 0.7576 recall@top5: 0.9545 prec@top5: 0.5091 loss_action_cls: 0.0527 2022/12/03 10:06:08 - mmengine - INFO - Epoch(train) [3][1400/4451] lr: 9.9620e-02 eta: 3:10:52 time: 0.3367 data_time: 0.0136 memory: 8510 grad_norm: 0.1363 loss: 0.0605 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7949 recall@top3: 0.7949 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4615 loss_action_cls: 0.0605 2022/12/03 10:06:15 - mmengine - INFO - Epoch(train) [3][1420/4451] lr: 9.9609e-02 eta: 3:10:45 time: 0.3397 data_time: 0.0171 memory: 8510 grad_norm: 0.1303 loss: 0.0608 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.5556 recall@top3: 0.6944 prec@top3: 0.5000 recall@top5: 0.9861 prec@top5: 0.4000 loss_action_cls: 0.0608 2022/12/03 10:06:22 - mmengine - INFO - Epoch(train) [3][1440/4451] lr: 9.9598e-02 eta: 3:10:39 time: 0.3386 data_time: 0.0139 memory: 8510 grad_norm: 0.1416 loss: 0.0564 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7157 recall@top3: 0.6961 prec@top3: 0.4706 recall@top5: 0.9216 prec@top5: 0.3882 loss_action_cls: 0.0564 2022/12/03 10:06:29 - mmengine - INFO - Epoch(train) [3][1460/4451] lr: 9.9586e-02 eta: 3:10:32 time: 0.3364 data_time: 0.0132 memory: 8510 grad_norm: 0.1344 loss: 0.0536 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.4048 recall@top3: 0.7460 prec@top3: 0.5079 recall@top5: 0.7460 prec@top5: 0.3048 loss_action_cls: 0.0536 2022/12/03 10:06:35 - mmengine - INFO - Epoch(train) [3][1480/4451] lr: 9.9575e-02 eta: 3:10:26 time: 0.3400 data_time: 0.0151 memory: 8510 grad_norm: 0.1386 loss: 0.0607 recall@thr=0.5: 0.4494 prec@thr=0.5: 0.6369 recall@top3: 0.6458 prec@top3: 0.6667 recall@top5: 0.8810 prec@top5: 0.4929 loss_action_cls: 0.0607 2022/12/03 10:06:42 - mmengine - INFO - Epoch(train) [3][1500/4451] lr: 9.9563e-02 eta: 3:10:20 time: 0.3388 data_time: 0.0140 memory: 8510 grad_norm: 0.1371 loss: 0.0570 recall@thr=0.5: 0.6886 prec@thr=0.5: 0.7632 recall@top3: 0.8553 prec@top3: 0.7544 recall@top5: 0.9737 prec@top5: 0.5158 loss_action_cls: 0.0570 2022/12/03 10:06:49 - mmengine - INFO - Epoch(train) [3][1520/4451] lr: 9.9552e-02 eta: 3:10:13 time: 0.3391 data_time: 0.0181 memory: 8510 grad_norm: 0.1298 loss: 0.0577 recall@thr=0.5: 0.4737 prec@thr=0.5: 0.6316 recall@top3: 0.9298 prec@top3: 0.5614 recall@top5: 0.9649 prec@top5: 0.3579 loss_action_cls: 0.0577 2022/12/03 10:06:56 - mmengine - INFO - Epoch(train) [3][1540/4451] lr: 9.9540e-02 eta: 3:10:07 time: 0.3382 data_time: 0.0156 memory: 8510 grad_norm: 0.1316 loss: 0.0554 recall@thr=0.5: 0.3144 prec@thr=0.5: 0.4545 recall@top3: 0.5720 prec@top3: 0.5303 recall@top5: 0.7803 prec@top5: 0.4364 loss_action_cls: 0.0554 2022/12/03 10:07:03 - mmengine - INFO - Epoch(train) [3][1560/4451] lr: 9.9528e-02 eta: 3:10:00 time: 0.3385 data_time: 0.0161 memory: 8510 grad_norm: 0.1465 loss: 0.0577 recall@thr=0.5: 0.5054 prec@thr=0.5: 0.5645 recall@top3: 0.7715 prec@top3: 0.4194 recall@top5: 0.9220 prec@top5: 0.3290 loss_action_cls: 0.0577 2022/12/03 10:07:09 - mmengine - INFO - Epoch(train) [3][1580/4451] lr: 9.9516e-02 eta: 3:09:54 time: 0.3397 data_time: 0.0163 memory: 8510 grad_norm: 0.1381 loss: 0.0561 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7778 recall@top3: 0.7222 prec@top3: 0.5873 recall@top5: 0.9206 prec@top5: 0.4476 loss_action_cls: 0.0561 2022/12/03 10:07:16 - mmengine - INFO - Epoch(train) [3][1600/4451] lr: 9.9503e-02 eta: 3:09:47 time: 0.3364 data_time: 0.0163 memory: 8510 grad_norm: 0.1378 loss: 0.0520 recall@thr=0.5: 0.3778 prec@thr=0.5: 0.4444 recall@top3: 0.6111 prec@top3: 0.4444 recall@top5: 0.8000 prec@top5: 0.3733 loss_action_cls: 0.0520 2022/12/03 10:07:23 - mmengine - INFO - Epoch(train) [3][1620/4451] lr: 9.9491e-02 eta: 3:09:41 time: 0.3379 data_time: 0.0145 memory: 8510 grad_norm: 0.1454 loss: 0.0602 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.7667 recall@top3: 0.8000 prec@top3: 0.6444 recall@top5: 0.9000 prec@top5: 0.4267 loss_action_cls: 0.0602 2022/12/03 10:07:30 - mmengine - INFO - Epoch(train) [3][1640/4451] lr: 9.9478e-02 eta: 3:09:34 time: 0.3334 data_time: 0.0147 memory: 8510 grad_norm: 0.1353 loss: 0.0578 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.5667 recall@top3: 0.7458 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4700 loss_action_cls: 0.0578 2022/12/03 10:07:36 - mmengine - INFO - Epoch(train) [3][1660/4451] lr: 9.9465e-02 eta: 3:09:27 time: 0.3380 data_time: 0.0180 memory: 8510 grad_norm: 0.1366 loss: 0.0596 recall@thr=0.5: 0.6494 prec@thr=0.5: 0.7356 recall@top3: 0.8506 prec@top3: 0.7241 recall@top5: 0.9598 prec@top5: 0.5034 loss_action_cls: 0.0596 2022/12/03 10:07:43 - mmengine - INFO - Epoch(train) [3][1680/4451] lr: 9.9452e-02 eta: 3:09:21 time: 0.3414 data_time: 0.0164 memory: 8510 grad_norm: 0.1411 loss: 0.0562 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5625 recall@top3: 0.6125 prec@top3: 0.5000 recall@top5: 0.8167 prec@top5: 0.4300 loss_action_cls: 0.0562 2022/12/03 10:07:50 - mmengine - INFO - Epoch(train) [3][1700/4451] lr: 9.9439e-02 eta: 3:09:15 time: 0.3370 data_time: 0.0163 memory: 8510 grad_norm: 0.1352 loss: 0.0550 recall@thr=0.5: 0.4815 prec@thr=0.5: 0.6667 recall@top3: 0.6852 prec@top3: 0.4444 recall@top5: 0.9074 prec@top5: 0.3667 loss_action_cls: 0.0550 2022/12/03 10:07:57 - mmengine - INFO - Epoch(train) [3][1720/4451] lr: 9.9426e-02 eta: 3:09:08 time: 0.3388 data_time: 0.0157 memory: 8510 grad_norm: 0.1415 loss: 0.0536 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8030 recall@top3: 0.8561 prec@top3: 0.6818 recall@top5: 0.9545 prec@top5: 0.4636 loss_action_cls: 0.0536 2022/12/03 10:08:03 - mmengine - INFO - Epoch(train) [3][1740/4451] lr: 9.9413e-02 eta: 3:09:02 time: 0.3416 data_time: 0.0180 memory: 8510 grad_norm: 0.1345 loss: 0.0545 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.8750 recall@top3: 0.8715 prec@top3: 0.6806 recall@top5: 0.9236 prec@top5: 0.4333 loss_action_cls: 0.0545 2022/12/03 10:08:10 - mmengine - INFO - Epoch(train) [3][1760/4451] lr: 9.9399e-02 eta: 3:08:55 time: 0.3390 data_time: 0.0200 memory: 8510 grad_norm: 0.1415 loss: 0.0532 recall@thr=0.5: 0.3920 prec@thr=0.5: 0.5517 recall@top3: 0.6609 prec@top3: 0.5862 recall@top5: 0.8402 prec@top5: 0.4690 loss_action_cls: 0.0532 2022/12/03 10:08:17 - mmengine - INFO - Epoch(train) [3][1780/4451] lr: 9.9385e-02 eta: 3:08:49 time: 0.3385 data_time: 0.0176 memory: 8510 grad_norm: 0.1433 loss: 0.0552 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.9375 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0552 2022/12/03 10:08:24 - mmengine - INFO - Epoch(train) [3][1800/4451] lr: 9.9372e-02 eta: 3:08:43 time: 0.3383 data_time: 0.0151 memory: 8510 grad_norm: 0.1418 loss: 0.0516 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7143 recall@top3: 0.8095 prec@top3: 0.5873 recall@top5: 0.9405 prec@top5: 0.4381 loss_action_cls: 0.0516 2022/12/03 10:08:31 - mmengine - INFO - Epoch(train) [3][1820/4451] lr: 9.9357e-02 eta: 3:08:36 time: 0.3385 data_time: 0.0163 memory: 8510 grad_norm: 0.1478 loss: 0.0573 recall@thr=0.5: 0.6627 prec@thr=0.5: 0.6667 recall@top3: 0.7619 prec@top3: 0.5079 recall@top5: 0.8690 prec@top5: 0.3714 loss_action_cls: 0.0573 2022/12/03 10:08:37 - mmengine - INFO - Epoch(train) [3][1840/4451] lr: 9.9343e-02 eta: 3:08:30 time: 0.3390 data_time: 0.0181 memory: 8510 grad_norm: 0.1445 loss: 0.0550 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.6884 recall@top3: 0.7174 prec@top3: 0.6667 recall@top5: 0.8768 prec@top5: 0.4957 loss_action_cls: 0.0550 2022/12/03 10:08:44 - mmengine - INFO - Epoch(train) [3][1860/4451] lr: 9.9329e-02 eta: 3:08:23 time: 0.3399 data_time: 0.0167 memory: 8510 grad_norm: 0.1367 loss: 0.0568 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6071 recall@top3: 0.8929 prec@top3: 0.3810 recall@top5: 0.9643 prec@top5: 0.2571 loss_action_cls: 0.0568 2022/12/03 10:08:51 - mmengine - INFO - Epoch(train) [3][1880/4451] lr: 9.9315e-02 eta: 3:08:17 time: 0.3360 data_time: 0.0159 memory: 8510 grad_norm: 0.1450 loss: 0.0554 recall@thr=0.5: 0.5602 prec@thr=0.5: 0.6250 recall@top3: 0.6574 prec@top3: 0.5185 recall@top5: 0.8472 prec@top5: 0.4222 loss_action_cls: 0.0554 2022/12/03 10:08:58 - mmengine - INFO - Epoch(train) [3][1900/4451] lr: 9.9300e-02 eta: 3:08:10 time: 0.3397 data_time: 0.0163 memory: 8510 grad_norm: 0.1425 loss: 0.0532 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5750 recall@top3: 0.6667 prec@top3: 0.4833 recall@top5: 0.8500 prec@top5: 0.3700 loss_action_cls: 0.0532 2022/12/03 10:09:04 - mmengine - INFO - Epoch(train) [3][1920/4451] lr: 9.9285e-02 eta: 3:08:04 time: 0.3414 data_time: 0.0153 memory: 8510 grad_norm: 0.1413 loss: 0.0518 recall@thr=0.5: 0.5197 prec@thr=0.5: 0.6030 recall@top3: 0.6871 prec@top3: 0.6212 recall@top5: 0.9318 prec@top5: 0.5091 loss_action_cls: 0.0518 2022/12/03 10:09:11 - mmengine - INFO - Epoch(train) [3][1940/4451] lr: 9.9270e-02 eta: 3:07:58 time: 0.3417 data_time: 0.0184 memory: 8510 grad_norm: 0.1387 loss: 0.0564 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.6275 recall@top3: 0.8725 prec@top3: 0.5686 recall@top5: 0.9020 prec@top5: 0.3529 loss_action_cls: 0.0564 2022/12/03 10:09:18 - mmengine - INFO - Epoch(train) [3][1960/4451] lr: 9.9255e-02 eta: 3:07:51 time: 0.3377 data_time: 0.0181 memory: 8510 grad_norm: 0.1367 loss: 0.0567 recall@thr=0.5: 0.3246 prec@thr=0.5: 0.4474 recall@top3: 0.7895 prec@top3: 0.5088 recall@top5: 0.8421 prec@top5: 0.3158 loss_action_cls: 0.0567 2022/12/03 10:09:25 - mmengine - INFO - Epoch(train) [3][1980/4451] lr: 9.9240e-02 eta: 3:07:45 time: 0.3369 data_time: 0.0155 memory: 8510 grad_norm: 0.1440 loss: 0.0516 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.8175 recall@top3: 0.8294 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4381 loss_action_cls: 0.0516 2022/12/03 10:09:32 - mmengine - INFO - Epoch(train) [3][2000/4451] lr: 9.9224e-02 eta: 3:07:38 time: 0.3404 data_time: 0.0139 memory: 8510 grad_norm: 0.1390 loss: 0.0583 recall@thr=0.5: 0.4058 prec@thr=0.5: 0.4783 recall@top3: 0.6377 prec@top3: 0.5362 recall@top5: 0.7428 prec@top5: 0.3913 loss_action_cls: 0.0583 2022/12/03 10:09:38 - mmengine - INFO - Epoch(train) [3][2020/4451] lr: 9.9209e-02 eta: 3:07:32 time: 0.3374 data_time: 0.0178 memory: 8510 grad_norm: 0.1373 loss: 0.0561 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.5729 recall@top3: 0.7396 prec@top3: 0.5417 recall@top5: 0.9062 prec@top5: 0.4250 loss_action_cls: 0.0561 2022/12/03 10:09:45 - mmengine - INFO - Epoch(train) [3][2040/4451] lr: 9.9193e-02 eta: 3:07:25 time: 0.3342 data_time: 0.0153 memory: 8510 grad_norm: 0.1384 loss: 0.0582 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7183 recall@top3: 0.8849 prec@top3: 0.6349 recall@top5: 0.9286 prec@top5: 0.4095 loss_action_cls: 0.0582 2022/12/03 10:09:52 - mmengine - INFO - Epoch(train) [3][2060/4451] lr: 9.9177e-02 eta: 3:07:18 time: 0.3386 data_time: 0.0139 memory: 8510 grad_norm: 0.1432 loss: 0.0556 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.6413 recall@top3: 0.7681 prec@top3: 0.6522 recall@top5: 0.8768 prec@top5: 0.4522 loss_action_cls: 0.0556 2022/12/03 10:09:59 - mmengine - INFO - Epoch(train) [3][2080/4451] lr: 9.9161e-02 eta: 3:07:12 time: 0.3379 data_time: 0.0144 memory: 8510 grad_norm: 0.1415 loss: 0.0509 recall@thr=0.5: 0.3877 prec@thr=0.5: 0.5435 recall@top3: 0.5362 prec@top3: 0.5072 recall@top5: 0.7609 prec@top5: 0.4348 loss_action_cls: 0.0509 2022/12/03 10:10:05 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:10:05 - mmengine - INFO - Epoch(train) [3][2100/4451] lr: 9.9145e-02 eta: 3:07:05 time: 0.3398 data_time: 0.0154 memory: 8510 grad_norm: 0.1404 loss: 0.0575 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7778 recall@top3: 0.8704 prec@top3: 0.7037 recall@top5: 0.8889 prec@top5: 0.4333 loss_action_cls: 0.0575 2022/12/03 10:10:12 - mmengine - INFO - Epoch(train) [3][2120/4451] lr: 9.9129e-02 eta: 3:06:59 time: 0.3374 data_time: 0.0142 memory: 8510 grad_norm: 0.1472 loss: 0.0480 recall@thr=0.5: 0.4601 prec@thr=0.5: 0.7101 recall@top3: 0.6522 prec@top3: 0.5507 recall@top5: 0.8406 prec@top5: 0.4348 loss_action_cls: 0.0480 2022/12/03 10:10:19 - mmengine - INFO - Epoch(train) [3][2140/4451] lr: 9.9112e-02 eta: 3:06:52 time: 0.3359 data_time: 0.0177 memory: 8510 grad_norm: 0.1299 loss: 0.0607 recall@thr=0.5: 0.3167 prec@thr=0.5: 0.5333 recall@top3: 0.5778 prec@top3: 0.4778 recall@top5: 0.8944 prec@top5: 0.4400 loss_action_cls: 0.0607 2022/12/03 10:10:26 - mmengine - INFO - Epoch(train) [3][2160/4451] lr: 9.9096e-02 eta: 3:06:46 time: 0.3372 data_time: 0.0170 memory: 8510 grad_norm: 0.1459 loss: 0.0566 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.4333 recall@top3: 0.7556 prec@top3: 0.5111 recall@top5: 0.9000 prec@top5: 0.3733 loss_action_cls: 0.0566 2022/12/03 10:10:32 - mmengine - INFO - Epoch(train) [3][2180/4451] lr: 9.9079e-02 eta: 3:06:39 time: 0.3373 data_time: 0.0191 memory: 8510 grad_norm: 0.1352 loss: 0.0491 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.8167 recall@top3: 0.8250 prec@top3: 0.6833 recall@top5: 0.9750 prec@top5: 0.4700 loss_action_cls: 0.0491 2022/12/03 10:10:39 - mmengine - INFO - Epoch(train) [3][2200/4451] lr: 9.9062e-02 eta: 3:06:32 time: 0.3365 data_time: 0.0152 memory: 8510 grad_norm: 0.1417 loss: 0.0609 recall@thr=0.5: 0.3878 prec@thr=0.5: 0.4808 recall@top3: 0.5641 prec@top3: 0.4615 recall@top5: 0.8077 prec@top5: 0.3923 loss_action_cls: 0.0609 2022/12/03 10:10:46 - mmengine - INFO - Epoch(train) [3][2220/4451] lr: 9.9045e-02 eta: 3:06:26 time: 0.3339 data_time: 0.0159 memory: 8510 grad_norm: 0.1385 loss: 0.0574 recall@thr=0.5: 0.4211 prec@thr=0.5: 0.4386 recall@top3: 0.6404 prec@top3: 0.5439 recall@top5: 0.7588 prec@top5: 0.4000 loss_action_cls: 0.0574 2022/12/03 10:10:53 - mmengine - INFO - Epoch(train) [3][2240/4451] lr: 9.9028e-02 eta: 3:06:19 time: 0.3389 data_time: 0.0199 memory: 8510 grad_norm: 0.1489 loss: 0.0547 recall@thr=0.5: 0.6983 prec@thr=0.5: 0.7067 recall@top3: 0.8633 prec@top3: 0.6333 recall@top5: 0.9233 prec@top5: 0.4400 loss_action_cls: 0.0547 2022/12/03 10:10:59 - mmengine - INFO - Epoch(train) [3][2260/4451] lr: 9.9010e-02 eta: 3:06:13 time: 0.3390 data_time: 0.0158 memory: 8510 grad_norm: 0.1425 loss: 0.0551 recall@thr=0.5: 0.5059 prec@thr=0.5: 0.6716 recall@top3: 0.6373 prec@top3: 0.5882 recall@top5: 0.8265 prec@top5: 0.4824 loss_action_cls: 0.0551 2022/12/03 10:11:06 - mmengine - INFO - Epoch(train) [3][2280/4451] lr: 9.8993e-02 eta: 3:06:06 time: 0.3365 data_time: 0.0159 memory: 8510 grad_norm: 0.1377 loss: 0.0630 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.3889 recall@top3: 0.6296 prec@top3: 0.4444 recall@top5: 0.7963 prec@top5: 0.3444 loss_action_cls: 0.0630 2022/12/03 10:11:13 - mmengine - INFO - Epoch(train) [3][2300/4451] lr: 9.8975e-02 eta: 3:06:00 time: 0.3367 data_time: 0.0175 memory: 8510 grad_norm: 0.1369 loss: 0.0591 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.8333 recall@top3: 0.8167 prec@top3: 0.7037 recall@top5: 0.9500 prec@top5: 0.5111 loss_action_cls: 0.0591 2022/12/03 10:11:20 - mmengine - INFO - Epoch(train) [3][2320/4451] lr: 9.8957e-02 eta: 3:05:53 time: 0.3408 data_time: 0.0170 memory: 8510 grad_norm: 0.1394 loss: 0.0581 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6364 recall@top3: 0.7424 prec@top3: 0.5455 recall@top5: 0.9470 prec@top5: 0.4182 loss_action_cls: 0.0581 2022/12/03 10:11:26 - mmengine - INFO - Epoch(train) [3][2340/4451] lr: 9.8939e-02 eta: 3:05:47 time: 0.3368 data_time: 0.0155 memory: 8510 grad_norm: 0.1448 loss: 0.0571 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7685 recall@top3: 0.8148 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0571 2022/12/03 10:11:33 - mmengine - INFO - Epoch(train) [3][2360/4451] lr: 9.8921e-02 eta: 3:05:40 time: 0.3363 data_time: 0.0181 memory: 8510 grad_norm: 0.1347 loss: 0.0559 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6667 recall@top3: 0.8160 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0559 2022/12/03 10:11:40 - mmengine - INFO - Epoch(train) [3][2380/4451] lr: 9.8903e-02 eta: 3:05:33 time: 0.3373 data_time: 0.0159 memory: 8510 grad_norm: 0.1393 loss: 0.0496 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6250 recall@top3: 0.6806 prec@top3: 0.5000 recall@top5: 0.7847 prec@top5: 0.3500 loss_action_cls: 0.0496 2022/12/03 10:11:47 - mmengine - INFO - Epoch(train) [3][2400/4451] lr: 9.8884e-02 eta: 3:05:27 time: 0.3378 data_time: 0.0149 memory: 8510 grad_norm: 0.1413 loss: 0.0583 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7121 recall@top3: 0.8409 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0583 2022/12/03 10:11:53 - mmengine - INFO - Epoch(train) [3][2420/4451] lr: 9.8866e-02 eta: 3:05:20 time: 0.3390 data_time: 0.0143 memory: 8510 grad_norm: 0.1323 loss: 0.0578 recall@thr=0.5: 0.5083 prec@thr=0.5: 0.6629 recall@top3: 0.6091 prec@top3: 0.6667 recall@top5: 0.8379 prec@top5: 0.5455 loss_action_cls: 0.0578 2022/12/03 10:12:00 - mmengine - INFO - Epoch(train) [3][2440/4451] lr: 9.8847e-02 eta: 3:05:14 time: 0.3379 data_time: 0.0149 memory: 8510 grad_norm: 0.1411 loss: 0.0577 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5988 recall@top3: 0.7716 prec@top3: 0.6296 recall@top5: 0.8704 prec@top5: 0.4296 loss_action_cls: 0.0577 2022/12/03 10:12:07 - mmengine - INFO - Epoch(train) [3][2460/4451] lr: 9.8828e-02 eta: 3:05:07 time: 0.3378 data_time: 0.0160 memory: 8510 grad_norm: 0.1348 loss: 0.0538 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6930 recall@top3: 0.6842 prec@top3: 0.3860 recall@top5: 0.7895 prec@top5: 0.3053 loss_action_cls: 0.0538 2022/12/03 10:12:14 - mmengine - INFO - Epoch(train) [3][2480/4451] lr: 9.8809e-02 eta: 3:05:01 time: 0.3368 data_time: 0.0178 memory: 8510 grad_norm: 0.1392 loss: 0.0504 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5789 recall@top3: 0.8421 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.3789 loss_action_cls: 0.0504 2022/12/03 10:12:20 - mmengine - INFO - Epoch(train) [3][2500/4451] lr: 9.8790e-02 eta: 3:04:54 time: 0.3409 data_time: 0.0182 memory: 8510 grad_norm: 0.1324 loss: 0.0517 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9333 recall@top3: 0.9250 prec@top3: 0.7833 recall@top5: 0.9750 prec@top5: 0.4900 loss_action_cls: 0.0517 2022/12/03 10:12:27 - mmengine - INFO - Epoch(train) [3][2520/4451] lr: 9.8770e-02 eta: 3:04:48 time: 0.3363 data_time: 0.0134 memory: 8510 grad_norm: 0.1368 loss: 0.0549 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6204 recall@top3: 0.6019 prec@top3: 0.3704 recall@top5: 0.7407 prec@top5: 0.2778 loss_action_cls: 0.0549 2022/12/03 10:12:34 - mmengine - INFO - Epoch(train) [3][2540/4451] lr: 9.8751e-02 eta: 3:04:41 time: 0.3395 data_time: 0.0159 memory: 8510 grad_norm: 0.1491 loss: 0.0575 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.6867 recall@top3: 0.8733 prec@top3: 0.7200 recall@top5: 0.9200 prec@top5: 0.4640 loss_action_cls: 0.0575 2022/12/03 10:12:41 - mmengine - INFO - Epoch(train) [3][2560/4451] lr: 9.8731e-02 eta: 3:04:35 time: 0.3364 data_time: 0.0152 memory: 8510 grad_norm: 0.1395 loss: 0.0550 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6349 recall@top3: 0.8175 prec@top3: 0.6349 recall@top5: 0.9286 prec@top5: 0.4381 loss_action_cls: 0.0550 2022/12/03 10:12:47 - mmengine - INFO - Epoch(train) [3][2580/4451] lr: 9.8711e-02 eta: 3:04:28 time: 0.3410 data_time: 0.0162 memory: 8510 grad_norm: 0.1411 loss: 0.0590 recall@thr=0.5: 0.3148 prec@thr=0.5: 0.4938 recall@top3: 0.5247 prec@top3: 0.3704 recall@top5: 0.7346 prec@top5: 0.3111 loss_action_cls: 0.0590 2022/12/03 10:12:54 - mmengine - INFO - Epoch(train) [3][2600/4451] lr: 9.8691e-02 eta: 3:04:22 time: 0.3390 data_time: 0.0144 memory: 8510 grad_norm: 0.1383 loss: 0.0576 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6508 recall@top3: 0.8175 prec@top3: 0.6349 recall@top5: 0.9365 prec@top5: 0.4476 loss_action_cls: 0.0576 2022/12/03 10:13:01 - mmengine - INFO - Epoch(train) [3][2620/4451] lr: 9.8671e-02 eta: 3:04:15 time: 0.3412 data_time: 0.0194 memory: 8510 grad_norm: 0.1349 loss: 0.0552 recall@thr=0.5: 0.5146 prec@thr=0.5: 0.7344 recall@top3: 0.7792 prec@top3: 0.6875 recall@top5: 0.9312 prec@top5: 0.5125 loss_action_cls: 0.0552 2022/12/03 10:13:08 - mmengine - INFO - Epoch(train) [3][2640/4451] lr: 9.8651e-02 eta: 3:04:09 time: 0.3361 data_time: 0.0179 memory: 8510 grad_norm: 0.1419 loss: 0.0558 recall@thr=0.5: 0.4875 prec@thr=0.5: 0.5208 recall@top3: 0.7417 prec@top3: 0.6111 recall@top5: 0.7931 prec@top5: 0.4083 loss_action_cls: 0.0558 2022/12/03 10:13:15 - mmengine - INFO - Epoch(train) [3][2660/4451] lr: 9.8630e-02 eta: 3:04:02 time: 0.3407 data_time: 0.0145 memory: 8510 grad_norm: 0.1425 loss: 0.0558 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.5098 recall@top3: 0.8922 prec@top3: 0.5686 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0558 2022/12/03 10:13:21 - mmengine - INFO - Epoch(train) [3][2680/4451] lr: 9.8610e-02 eta: 3:03:56 time: 0.3361 data_time: 0.0143 memory: 8510 grad_norm: 0.1364 loss: 0.0506 recall@thr=0.5: 0.1859 prec@thr=0.5: 0.2179 recall@top3: 0.5833 prec@top3: 0.3590 recall@top5: 0.7596 prec@top5: 0.3000 loss_action_cls: 0.0506 2022/12/03 10:13:28 - mmengine - INFO - Epoch(train) [3][2700/4451] lr: 9.8589e-02 eta: 3:03:49 time: 0.3420 data_time: 0.0167 memory: 8510 grad_norm: 0.1380 loss: 0.0527 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5000 recall@top3: 0.8472 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0527 2022/12/03 10:13:35 - mmengine - INFO - Epoch(train) [3][2720/4451] lr: 9.8568e-02 eta: 3:03:43 time: 0.3430 data_time: 0.0179 memory: 8510 grad_norm: 0.1396 loss: 0.0542 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.8258 recall@top3: 0.7917 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.5273 loss_action_cls: 0.0542 2022/12/03 10:13:42 - mmengine - INFO - Epoch(train) [3][2740/4451] lr: 9.8547e-02 eta: 3:03:37 time: 0.3408 data_time: 0.0131 memory: 8510 grad_norm: 0.1441 loss: 0.0585 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7193 recall@top3: 0.8289 prec@top3: 0.7368 recall@top5: 0.8947 prec@top5: 0.4842 loss_action_cls: 0.0585 2022/12/03 10:13:49 - mmengine - INFO - Epoch(train) [3][2760/4451] lr: 9.8526e-02 eta: 3:03:30 time: 0.3372 data_time: 0.0150 memory: 8510 grad_norm: 0.1384 loss: 0.0567 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5500 recall@top3: 0.8208 prec@top3: 0.6667 recall@top5: 0.9458 prec@top5: 0.4800 loss_action_cls: 0.0567 2022/12/03 10:13:55 - mmengine - INFO - Epoch(train) [3][2780/4451] lr: 9.8505e-02 eta: 3:03:24 time: 0.3404 data_time: 0.0188 memory: 8510 grad_norm: 0.1358 loss: 0.0548 recall@thr=0.5: 0.6699 prec@thr=0.5: 0.7628 recall@top3: 0.7821 prec@top3: 0.6282 recall@top5: 0.8814 prec@top5: 0.4385 loss_action_cls: 0.0548 2022/12/03 10:14:02 - mmengine - INFO - Epoch(train) [3][2800/4451] lr: 9.8483e-02 eta: 3:03:17 time: 0.3360 data_time: 0.0154 memory: 8510 grad_norm: 0.1377 loss: 0.0566 recall@thr=0.5: 0.4551 prec@thr=0.5: 0.5064 recall@top3: 0.7692 prec@top3: 0.4359 recall@top5: 0.9487 prec@top5: 0.3308 loss_action_cls: 0.0566 2022/12/03 10:14:09 - mmengine - INFO - Epoch(train) [3][2820/4451] lr: 9.8462e-02 eta: 3:03:11 time: 0.3394 data_time: 0.0214 memory: 8510 grad_norm: 0.1418 loss: 0.0536 recall@thr=0.5: 0.6632 prec@thr=0.5: 0.7153 recall@top3: 0.8160 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4083 loss_action_cls: 0.0536 2022/12/03 10:14:16 - mmengine - INFO - Epoch(train) [3][2840/4451] lr: 9.8440e-02 eta: 3:03:04 time: 0.3387 data_time: 0.0156 memory: 8510 grad_norm: 0.1363 loss: 0.0614 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.5312 recall@top3: 0.7604 prec@top3: 0.5625 recall@top5: 0.8125 prec@top5: 0.3625 loss_action_cls: 0.0614 2022/12/03 10:14:22 - mmengine - INFO - Epoch(train) [3][2860/4451] lr: 9.8418e-02 eta: 3:02:58 time: 0.3370 data_time: 0.0160 memory: 8510 grad_norm: 0.1446 loss: 0.0564 recall@thr=0.5: 0.4405 prec@thr=0.5: 0.5000 recall@top3: 0.6964 prec@top3: 0.4286 recall@top5: 0.8869 prec@top5: 0.3571 loss_action_cls: 0.0564 2022/12/03 10:14:29 - mmengine - INFO - Epoch(train) [3][2880/4451] lr: 9.8396e-02 eta: 3:02:51 time: 0.3392 data_time: 0.0207 memory: 8510 grad_norm: 0.1381 loss: 0.0467 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.6522 recall@top3: 0.7609 prec@top3: 0.5652 recall@top5: 0.9420 prec@top5: 0.4174 loss_action_cls: 0.0467 2022/12/03 10:14:36 - mmengine - INFO - Epoch(train) [3][2900/4451] lr: 9.8373e-02 eta: 3:02:45 time: 0.3402 data_time: 0.0158 memory: 8510 grad_norm: 0.1427 loss: 0.0529 recall@thr=0.5: 0.5722 prec@thr=0.5: 0.6500 recall@top3: 0.7722 prec@top3: 0.6222 recall@top5: 0.8778 prec@top5: 0.4267 loss_action_cls: 0.0529 2022/12/03 10:14:43 - mmengine - INFO - Epoch(train) [3][2920/4451] lr: 9.8351e-02 eta: 3:02:38 time: 0.3362 data_time: 0.0159 memory: 8510 grad_norm: 0.1473 loss: 0.0558 recall@thr=0.5: 0.5361 prec@thr=0.5: 0.6736 recall@top3: 0.6854 prec@top3: 0.6806 recall@top5: 0.8688 prec@top5: 0.5250 loss_action_cls: 0.0558 2022/12/03 10:14:49 - mmengine - INFO - Epoch(train) [3][2940/4451] lr: 9.8328e-02 eta: 3:02:31 time: 0.3355 data_time: 0.0110 memory: 8510 grad_norm: 0.1456 loss: 0.0510 recall@thr=0.5: 0.6089 prec@thr=0.5: 0.7943 recall@top3: 0.8000 prec@top3: 0.7604 recall@top5: 0.9521 prec@top5: 0.5562 loss_action_cls: 0.0510 2022/12/03 10:14:56 - mmengine - INFO - Epoch(train) [3][2960/4451] lr: 9.8306e-02 eta: 3:02:24 time: 0.3334 data_time: 0.0155 memory: 8510 grad_norm: 0.1428 loss: 0.0609 recall@thr=0.5: 0.4118 prec@thr=0.5: 0.4608 recall@top3: 0.6176 prec@top3: 0.4706 recall@top5: 0.7843 prec@top5: 0.3647 loss_action_cls: 0.0609 2022/12/03 10:15:03 - mmengine - INFO - Epoch(train) [3][2980/4451] lr: 9.8283e-02 eta: 3:02:18 time: 0.3370 data_time: 0.0150 memory: 8510 grad_norm: 0.1405 loss: 0.0517 recall@thr=0.5: 0.4638 prec@thr=0.5: 0.4638 recall@top3: 0.6986 prec@top3: 0.4638 recall@top5: 0.7362 prec@top5: 0.3043 loss_action_cls: 0.0517 2022/12/03 10:15:10 - mmengine - INFO - Epoch(train) [3][3000/4451] lr: 9.8260e-02 eta: 3:02:11 time: 0.3382 data_time: 0.0159 memory: 8510 grad_norm: 0.1333 loss: 0.0482 recall@thr=0.5: 0.3602 prec@thr=0.5: 0.5463 recall@top3: 0.5981 prec@top3: 0.5000 recall@top5: 0.8407 prec@top5: 0.4333 loss_action_cls: 0.0482 2022/12/03 10:15:16 - mmengine - INFO - Epoch(train) [3][3020/4451] lr: 9.8237e-02 eta: 3:02:05 time: 0.3353 data_time: 0.0172 memory: 8510 grad_norm: 0.1388 loss: 0.0587 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7681 recall@top3: 0.8804 prec@top3: 0.6957 recall@top5: 0.9783 prec@top5: 0.4696 loss_action_cls: 0.0587 2022/12/03 10:15:23 - mmengine - INFO - Epoch(train) [3][3040/4451] lr: 9.8214e-02 eta: 3:01:58 time: 0.3382 data_time: 0.0142 memory: 8510 grad_norm: 0.1379 loss: 0.0601 recall@thr=0.5: 0.4733 prec@thr=0.5: 0.5373 recall@top3: 0.8700 prec@top3: 0.6533 recall@top5: 0.9600 prec@top5: 0.4320 loss_action_cls: 0.0601 2022/12/03 10:15:30 - mmengine - INFO - Epoch(train) [3][3060/4451] lr: 9.8190e-02 eta: 3:01:51 time: 0.3378 data_time: 0.0181 memory: 8510 grad_norm: 0.1421 loss: 0.0561 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.7667 recall@top3: 0.7167 prec@top3: 0.5667 recall@top5: 0.8792 prec@top5: 0.4400 loss_action_cls: 0.0561 2022/12/03 10:15:37 - mmengine - INFO - Epoch(train) [3][3080/4451] lr: 9.8166e-02 eta: 3:01:45 time: 0.3372 data_time: 0.0124 memory: 8510 grad_norm: 0.1447 loss: 0.0529 recall@thr=0.5: 0.5069 prec@thr=0.5: 0.5903 recall@top3: 0.7639 prec@top3: 0.5833 recall@top5: 0.8889 prec@top5: 0.4250 loss_action_cls: 0.0529 2022/12/03 10:15:43 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:15:43 - mmengine - INFO - Epoch(train) [3][3100/4451] lr: 9.8143e-02 eta: 3:01:38 time: 0.3364 data_time: 0.0149 memory: 8510 grad_norm: 0.1431 loss: 0.0510 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.5167 recall@top3: 0.6417 prec@top3: 0.4167 recall@top5: 0.8833 prec@top5: 0.3600 loss_action_cls: 0.0510 2022/12/03 10:15:50 - mmengine - INFO - Epoch(train) [3][3120/4451] lr: 9.8119e-02 eta: 3:01:31 time: 0.3335 data_time: 0.0141 memory: 8510 grad_norm: 0.1416 loss: 0.0541 recall@thr=0.5: 0.5042 prec@thr=0.5: 0.6208 recall@top3: 0.5750 prec@top3: 0.5833 recall@top5: 0.8833 prec@top5: 0.5500 loss_action_cls: 0.0541 2022/12/03 10:15:57 - mmengine - INFO - Epoch(train) [3][3140/4451] lr: 9.8095e-02 eta: 3:01:25 time: 0.3341 data_time: 0.0109 memory: 8510 grad_norm: 0.1369 loss: 0.0553 recall@thr=0.5: 0.6477 prec@thr=0.5: 0.6591 recall@top3: 0.7992 prec@top3: 0.6515 recall@top5: 0.9508 prec@top5: 0.4909 loss_action_cls: 0.0553 2022/12/03 10:16:03 - mmengine - INFO - Epoch(train) [3][3160/4451] lr: 9.8071e-02 eta: 3:01:18 time: 0.3354 data_time: 0.0139 memory: 8510 grad_norm: 0.1469 loss: 0.0558 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7381 recall@top3: 0.8274 prec@top3: 0.6667 recall@top5: 0.9107 prec@top5: 0.4571 loss_action_cls: 0.0558 2022/12/03 10:16:10 - mmengine - INFO - Epoch(train) [3][3180/4451] lr: 9.8046e-02 eta: 3:01:11 time: 0.3347 data_time: 0.0117 memory: 8510 grad_norm: 0.1415 loss: 0.0534 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6389 recall@top3: 0.8403 prec@top3: 0.6806 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0534 2022/12/03 10:16:17 - mmengine - INFO - Epoch(train) [3][3200/4451] lr: 9.8022e-02 eta: 3:01:04 time: 0.3341 data_time: 0.0112 memory: 8510 grad_norm: 0.1381 loss: 0.0523 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.6667 recall@top3: 0.8235 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.4471 loss_action_cls: 0.0523 2022/12/03 10:16:23 - mmengine - INFO - Epoch(train) [3][3220/4451] lr: 9.7997e-02 eta: 3:00:58 time: 0.3348 data_time: 0.0115 memory: 8510 grad_norm: 0.1348 loss: 0.0507 recall@thr=0.5: 0.6322 prec@thr=0.5: 0.5977 recall@top3: 0.7184 prec@top3: 0.5402 recall@top5: 0.9483 prec@top5: 0.4000 loss_action_cls: 0.0507 2022/12/03 10:16:30 - mmengine - INFO - Epoch(train) [3][3240/4451] lr: 9.7972e-02 eta: 3:00:51 time: 0.3346 data_time: 0.0118 memory: 8510 grad_norm: 0.1353 loss: 0.0526 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.6333 recall@top3: 0.6542 prec@top3: 0.5833 recall@top5: 0.8917 prec@top5: 0.5000 loss_action_cls: 0.0526 2022/12/03 10:16:37 - mmengine - INFO - Epoch(train) [3][3260/4451] lr: 9.7947e-02 eta: 3:00:44 time: 0.3326 data_time: 0.0115 memory: 8510 grad_norm: 0.1384 loss: 0.0572 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6750 recall@top3: 0.8250 prec@top3: 0.6333 recall@top5: 0.8833 prec@top5: 0.4100 loss_action_cls: 0.0572 2022/12/03 10:16:44 - mmengine - INFO - Epoch(train) [3][3280/4451] lr: 9.7922e-02 eta: 3:00:38 time: 0.3361 data_time: 0.0112 memory: 8510 grad_norm: 0.1361 loss: 0.0556 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7389 recall@top3: 0.9000 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0556 2022/12/03 10:16:50 - mmengine - INFO - Epoch(train) [3][3300/4451] lr: 9.7897e-02 eta: 3:00:31 time: 0.3361 data_time: 0.0110 memory: 8510 grad_norm: 0.1471 loss: 0.0538 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7982 recall@top3: 0.8465 prec@top3: 0.7193 recall@top5: 0.9737 prec@top5: 0.5263 loss_action_cls: 0.0538 2022/12/03 10:16:57 - mmengine - INFO - Epoch(train) [3][3320/4451] lr: 9.7872e-02 eta: 3:00:24 time: 0.3352 data_time: 0.0118 memory: 8510 grad_norm: 0.1293 loss: 0.0532 recall@thr=0.5: 0.4067 prec@thr=0.5: 0.6400 recall@top3: 0.6933 prec@top3: 0.6400 recall@top5: 0.8667 prec@top5: 0.4720 loss_action_cls: 0.0532 2022/12/03 10:17:04 - mmengine - INFO - Epoch(train) [3][3340/4451] lr: 9.7846e-02 eta: 3:00:17 time: 0.3350 data_time: 0.0114 memory: 8510 grad_norm: 0.1426 loss: 0.0473 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7187 recall@top3: 0.7188 prec@top3: 0.5000 recall@top5: 0.8750 prec@top5: 0.3500 loss_action_cls: 0.0473 2022/12/03 10:17:10 - mmengine - INFO - Epoch(train) [3][3360/4451] lr: 9.7820e-02 eta: 3:00:11 time: 0.3348 data_time: 0.0111 memory: 8510 grad_norm: 0.1369 loss: 0.0472 recall@thr=0.5: 0.6542 prec@thr=0.5: 0.6333 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0472 2022/12/03 10:17:17 - mmengine - INFO - Epoch(train) [3][3380/4451] lr: 9.7795e-02 eta: 3:00:04 time: 0.3340 data_time: 0.0108 memory: 8510 grad_norm: 0.1326 loss: 0.0544 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.9211 recall@top3: 0.8202 prec@top3: 0.5614 recall@top5: 0.8947 prec@top5: 0.3789 loss_action_cls: 0.0544 2022/12/03 10:17:24 - mmengine - INFO - Epoch(train) [3][3400/4451] lr: 9.7769e-02 eta: 2:59:57 time: 0.3350 data_time: 0.0121 memory: 8510 grad_norm: 0.1390 loss: 0.0474 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7000 recall@top3: 0.9000 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0474 2022/12/03 10:17:30 - mmengine - INFO - Epoch(train) [3][3420/4451] lr: 9.7742e-02 eta: 2:59:50 time: 0.3342 data_time: 0.0105 memory: 8510 grad_norm: 0.1389 loss: 0.0551 recall@thr=0.5: 0.3704 prec@thr=0.5: 0.6389 recall@top3: 0.8333 prec@top3: 0.5741 recall@top5: 0.9306 prec@top5: 0.3889 loss_action_cls: 0.0551 2022/12/03 10:17:37 - mmengine - INFO - Epoch(train) [3][3440/4451] lr: 9.7716e-02 eta: 2:59:44 time: 0.3351 data_time: 0.0115 memory: 8510 grad_norm: 0.1429 loss: 0.0553 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6389 recall@top3: 0.7037 prec@top3: 0.4259 recall@top5: 0.9630 prec@top5: 0.3889 loss_action_cls: 0.0553 2022/12/03 10:17:44 - mmengine - INFO - Epoch(train) [3][3460/4451] lr: 9.7690e-02 eta: 2:59:37 time: 0.3341 data_time: 0.0141 memory: 8510 grad_norm: 0.1395 loss: 0.0493 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.8111 recall@top3: 0.8000 prec@top3: 0.6889 recall@top5: 0.9667 prec@top5: 0.5067 loss_action_cls: 0.0493 2022/12/03 10:17:51 - mmengine - INFO - Epoch(train) [3][3480/4451] lr: 9.7663e-02 eta: 2:59:30 time: 0.3360 data_time: 0.0164 memory: 8510 grad_norm: 0.1473 loss: 0.0513 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.5079 recall@top3: 0.6190 prec@top3: 0.4603 recall@top5: 0.7460 prec@top5: 0.3333 loss_action_cls: 0.0513 2022/12/03 10:17:57 - mmengine - INFO - Epoch(train) [3][3500/4451] lr: 9.7636e-02 eta: 2:59:24 time: 0.3336 data_time: 0.0155 memory: 8510 grad_norm: 0.1501 loss: 0.0566 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7183 recall@top3: 0.6960 prec@top3: 0.6190 recall@top5: 0.8651 prec@top5: 0.4857 loss_action_cls: 0.0566 2022/12/03 10:18:04 - mmengine - INFO - Epoch(train) [3][3520/4451] lr: 9.7609e-02 eta: 2:59:17 time: 0.3336 data_time: 0.0155 memory: 8510 grad_norm: 0.1341 loss: 0.0562 recall@thr=0.5: 0.5261 prec@thr=0.5: 0.8957 recall@top3: 0.6572 prec@top3: 0.7536 recall@top5: 0.7833 prec@top5: 0.5478 loss_action_cls: 0.0562 2022/12/03 10:18:11 - mmengine - INFO - Epoch(train) [3][3540/4451] lr: 9.7582e-02 eta: 2:59:10 time: 0.3348 data_time: 0.0134 memory: 8510 grad_norm: 0.1387 loss: 0.0476 recall@thr=0.5: 0.5102 prec@thr=0.5: 0.6296 recall@top3: 0.7611 prec@top3: 0.6481 recall@top5: 0.9120 prec@top5: 0.5000 loss_action_cls: 0.0476 2022/12/03 10:18:17 - mmengine - INFO - Epoch(train) [3][3560/4451] lr: 9.7555e-02 eta: 2:59:03 time: 0.3337 data_time: 0.0143 memory: 8510 grad_norm: 0.1338 loss: 0.0517 recall@thr=0.5: 0.4766 prec@thr=0.5: 0.5885 recall@top3: 0.7042 prec@top3: 0.4792 recall@top5: 0.9115 prec@top5: 0.4062 loss_action_cls: 0.0517 2022/12/03 10:18:24 - mmengine - INFO - Epoch(train) [3][3580/4451] lr: 9.7528e-02 eta: 2:58:56 time: 0.3329 data_time: 0.0143 memory: 8510 grad_norm: 0.1394 loss: 0.0525 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8651 recall@top3: 0.8929 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0525 2022/12/03 10:18:31 - mmengine - INFO - Epoch(train) [3][3600/4451] lr: 9.7500e-02 eta: 2:58:50 time: 0.3347 data_time: 0.0117 memory: 8510 grad_norm: 0.1375 loss: 0.0589 recall@thr=0.5: 0.4875 prec@thr=0.5: 0.5500 recall@top3: 0.6808 prec@top3: 0.6167 recall@top5: 0.7925 prec@top5: 0.4500 loss_action_cls: 0.0589 2022/12/03 10:18:37 - mmengine - INFO - Epoch(train) [3][3620/4451] lr: 9.7473e-02 eta: 2:58:43 time: 0.3335 data_time: 0.0128 memory: 8510 grad_norm: 0.1466 loss: 0.0550 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.6250 recall@top3: 0.6792 prec@top3: 0.5667 recall@top5: 0.8083 prec@top5: 0.4200 loss_action_cls: 0.0550 2022/12/03 10:18:44 - mmengine - INFO - Epoch(train) [3][3640/4451] lr: 9.7445e-02 eta: 2:58:36 time: 0.3346 data_time: 0.0113 memory: 8510 grad_norm: 0.1405 loss: 0.0540 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5965 recall@top3: 0.7456 prec@top3: 0.6140 recall@top5: 0.8684 prec@top5: 0.4526 loss_action_cls: 0.0540 2022/12/03 10:18:51 - mmengine - INFO - Epoch(train) [3][3660/4451] lr: 9.7417e-02 eta: 2:58:29 time: 0.3347 data_time: 0.0118 memory: 8510 grad_norm: 0.1344 loss: 0.0549 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.8431 recall@top3: 0.7784 prec@top3: 0.5686 recall@top5: 0.8882 prec@top5: 0.4118 loss_action_cls: 0.0549 2022/12/03 10:18:57 - mmengine - INFO - Epoch(train) [3][3680/4451] lr: 9.7389e-02 eta: 2:58:23 time: 0.3361 data_time: 0.0119 memory: 8510 grad_norm: 0.1366 loss: 0.0517 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6875 recall@top3: 0.7417 prec@top3: 0.6667 recall@top5: 0.8167 prec@top5: 0.4400 loss_action_cls: 0.0517 2022/12/03 10:19:04 - mmengine - INFO - Epoch(train) [3][3700/4451] lr: 9.7361e-02 eta: 2:58:16 time: 0.3363 data_time: 0.0109 memory: 8510 grad_norm: 0.1369 loss: 0.0516 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.6000 recall@top3: 0.8333 prec@top3: 0.4889 recall@top5: 1.0000 prec@top5: 0.3467 loss_action_cls: 0.0516 2022/12/03 10:19:11 - mmengine - INFO - Epoch(train) [3][3720/4451] lr: 9.7333e-02 eta: 2:58:09 time: 0.3338 data_time: 0.0127 memory: 8510 grad_norm: 0.1454 loss: 0.0521 recall@thr=0.5: 0.3258 prec@thr=0.5: 0.4318 recall@top3: 0.6515 prec@top3: 0.3182 recall@top5: 0.9621 prec@top5: 0.2818 loss_action_cls: 0.0521 2022/12/03 10:19:17 - mmengine - INFO - Epoch(train) [3][3740/4451] lr: 9.7304e-02 eta: 2:58:02 time: 0.3331 data_time: 0.0155 memory: 8510 grad_norm: 0.1310 loss: 0.0541 recall@thr=0.5: 0.7125 prec@thr=0.5: 0.5750 recall@top3: 0.7792 prec@top3: 0.4667 recall@top5: 0.9750 prec@top5: 0.3500 loss_action_cls: 0.0541 2022/12/03 10:19:24 - mmengine - INFO - Epoch(train) [3][3760/4451] lr: 9.7275e-02 eta: 2:57:56 time: 0.3341 data_time: 0.0129 memory: 8510 grad_norm: 0.1433 loss: 0.0545 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5625 recall@top3: 0.6042 prec@top3: 0.4167 recall@top5: 0.7500 prec@top5: 0.3250 loss_action_cls: 0.0545 2022/12/03 10:19:31 - mmengine - INFO - Epoch(train) [3][3780/4451] lr: 9.7247e-02 eta: 2:57:49 time: 0.3349 data_time: 0.0136 memory: 8510 grad_norm: 0.1435 loss: 0.0539 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7895 recall@top3: 0.6316 prec@top3: 0.4561 recall@top5: 0.8333 prec@top5: 0.3895 loss_action_cls: 0.0539 2022/12/03 10:19:38 - mmengine - INFO - Epoch(train) [3][3800/4451] lr: 9.7218e-02 eta: 2:57:42 time: 0.3351 data_time: 0.0138 memory: 8510 grad_norm: 0.1384 loss: 0.0544 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7292 recall@top3: 0.8125 prec@top3: 0.6944 recall@top5: 0.8750 prec@top5: 0.4583 loss_action_cls: 0.0544 2022/12/03 10:19:44 - mmengine - INFO - Epoch(train) [3][3820/4451] lr: 9.7189e-02 eta: 2:57:36 time: 0.3353 data_time: 0.0116 memory: 8510 grad_norm: 0.1382 loss: 0.0474 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6296 recall@top3: 0.8009 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4667 loss_action_cls: 0.0474 2022/12/03 10:19:51 - mmengine - INFO - Epoch(train) [3][3840/4451] lr: 9.7159e-02 eta: 2:57:29 time: 0.3329 data_time: 0.0132 memory: 8510 grad_norm: 0.1296 loss: 0.0513 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8667 recall@top3: 0.8667 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0513 2022/12/03 10:19:58 - mmengine - INFO - Epoch(train) [3][3860/4451] lr: 9.7130e-02 eta: 2:57:22 time: 0.3367 data_time: 0.0110 memory: 8510 grad_norm: 0.1337 loss: 0.0569 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.6852 recall@top3: 0.7963 prec@top3: 0.5556 recall@top5: 0.9259 prec@top5: 0.4111 loss_action_cls: 0.0569 2022/12/03 10:20:04 - mmengine - INFO - Epoch(train) [3][3880/4451] lr: 9.7100e-02 eta: 2:57:15 time: 0.3325 data_time: 0.0117 memory: 8510 grad_norm: 0.1456 loss: 0.0504 recall@thr=0.5: 0.4855 prec@thr=0.5: 0.5725 recall@top3: 0.8116 prec@top3: 0.6232 recall@top5: 0.9601 prec@top5: 0.4435 loss_action_cls: 0.0504 2022/12/03 10:20:11 - mmengine - INFO - Epoch(train) [3][3900/4451] lr: 9.7071e-02 eta: 2:57:09 time: 0.3348 data_time: 0.0114 memory: 8510 grad_norm: 0.1382 loss: 0.0533 recall@thr=0.5: 0.2857 prec@thr=0.5: 0.3214 recall@top3: 0.4881 prec@top3: 0.2381 recall@top5: 0.5238 prec@top5: 0.1571 loss_action_cls: 0.0533 2022/12/03 10:20:18 - mmengine - INFO - Epoch(train) [3][3920/4451] lr: 9.7041e-02 eta: 2:57:02 time: 0.3332 data_time: 0.0109 memory: 8510 grad_norm: 0.1400 loss: 0.0538 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.6491 recall@top3: 0.8246 prec@top3: 0.4386 recall@top5: 0.9474 prec@top5: 0.3053 loss_action_cls: 0.0538 2022/12/03 10:20:24 - mmengine - INFO - Epoch(train) [3][3940/4451] lr: 9.7011e-02 eta: 2:56:55 time: 0.3339 data_time: 0.0133 memory: 8510 grad_norm: 0.1390 loss: 0.0546 recall@thr=0.5: 0.4956 prec@thr=0.5: 0.5439 recall@top3: 0.7368 prec@top3: 0.5088 recall@top5: 0.8947 prec@top5: 0.4105 loss_action_cls: 0.0546 2022/12/03 10:20:31 - mmengine - INFO - Epoch(train) [3][3960/4451] lr: 9.6981e-02 eta: 2:56:48 time: 0.3330 data_time: 0.0135 memory: 8510 grad_norm: 0.1359 loss: 0.0565 recall@thr=0.5: 0.5318 prec@thr=0.5: 0.7500 recall@top3: 0.7265 prec@top3: 0.6515 recall@top5: 0.8720 prec@top5: 0.4909 loss_action_cls: 0.0565 2022/12/03 10:20:38 - mmengine - INFO - Epoch(train) [3][3980/4451] lr: 9.6951e-02 eta: 2:56:41 time: 0.3340 data_time: 0.0143 memory: 8510 grad_norm: 0.1384 loss: 0.0582 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6196 recall@top3: 0.6587 prec@top3: 0.6087 recall@top5: 0.8594 prec@top5: 0.4870 loss_action_cls: 0.0582 2022/12/03 10:20:44 - mmengine - INFO - Epoch(train) [3][4000/4451] lr: 9.6920e-02 eta: 2:56:35 time: 0.3334 data_time: 0.0126 memory: 8510 grad_norm: 0.1455 loss: 0.0537 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7885 recall@top3: 0.8269 prec@top3: 0.7051 recall@top5: 0.8942 prec@top5: 0.4692 loss_action_cls: 0.0537 2022/12/03 10:20:51 - mmengine - INFO - Epoch(train) [3][4020/4451] lr: 9.6890e-02 eta: 2:56:28 time: 0.3333 data_time: 0.0130 memory: 8510 grad_norm: 0.1374 loss: 0.0511 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6377 recall@top3: 0.7391 prec@top3: 0.5797 recall@top5: 0.9348 prec@top5: 0.4435 loss_action_cls: 0.0511 2022/12/03 10:20:58 - mmengine - INFO - Epoch(train) [3][4040/4451] lr: 9.6859e-02 eta: 2:56:21 time: 0.3336 data_time: 0.0135 memory: 8510 grad_norm: 0.1395 loss: 0.0509 recall@thr=0.5: 0.5538 prec@thr=0.5: 0.6855 recall@top3: 0.7151 prec@top3: 0.6344 recall@top5: 0.8844 prec@top5: 0.4774 loss_action_cls: 0.0509 2022/12/03 10:21:04 - mmengine - INFO - Epoch(train) [3][4060/4451] lr: 9.6828e-02 eta: 2:56:14 time: 0.3339 data_time: 0.0136 memory: 8510 grad_norm: 0.1384 loss: 0.0521 recall@thr=0.5: 0.4848 prec@thr=0.5: 0.6288 recall@top3: 0.6326 prec@top3: 0.6061 recall@top5: 0.7538 prec@top5: 0.4364 loss_action_cls: 0.0521 2022/12/03 10:21:11 - mmengine - INFO - Epoch(train) [3][4080/4451] lr: 9.6797e-02 eta: 2:56:08 time: 0.3363 data_time: 0.0115 memory: 8510 grad_norm: 0.1347 loss: 0.0516 recall@thr=0.5: 0.5051 prec@thr=0.5: 0.7436 recall@top3: 0.6141 prec@top3: 0.5128 recall@top5: 0.6808 prec@top5: 0.3538 loss_action_cls: 0.0516 2022/12/03 10:21:17 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:21:18 - mmengine - INFO - Epoch(train) [3][4100/4451] lr: 9.6766e-02 eta: 2:56:01 time: 0.3338 data_time: 0.0137 memory: 8510 grad_norm: 0.1383 loss: 0.0536 recall@thr=0.5: 0.4083 prec@thr=0.5: 0.4667 recall@top3: 0.5750 prec@top3: 0.4333 recall@top5: 0.9208 prec@top5: 0.4100 loss_action_cls: 0.0536 2022/12/03 10:21:24 - mmengine - INFO - Epoch(train) [3][4120/4451] lr: 9.6735e-02 eta: 2:55:54 time: 0.3346 data_time: 0.0116 memory: 8510 grad_norm: 0.1470 loss: 0.0530 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.8333 recall@top3: 0.8095 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0530 2022/12/03 10:21:31 - mmengine - INFO - Epoch(train) [3][4140/4451] lr: 9.6703e-02 eta: 2:55:47 time: 0.3355 data_time: 0.0156 memory: 8510 grad_norm: 0.1406 loss: 0.0487 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.6574 recall@top3: 0.7963 prec@top3: 0.6111 recall@top5: 0.8796 prec@top5: 0.4111 loss_action_cls: 0.0487 2022/12/03 10:21:38 - mmengine - INFO - Epoch(train) [3][4160/4451] lr: 9.6672e-02 eta: 2:55:41 time: 0.3345 data_time: 0.0126 memory: 8510 grad_norm: 0.1484 loss: 0.0563 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.6528 recall@top3: 0.8472 prec@top3: 0.5417 recall@top5: 0.9167 prec@top5: 0.3583 loss_action_cls: 0.0563 2022/12/03 10:21:45 - mmengine - INFO - Epoch(train) [3][4180/4451] lr: 9.6640e-02 eta: 2:55:34 time: 0.3339 data_time: 0.0132 memory: 8510 grad_norm: 0.1333 loss: 0.0560 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.5556 recall@top3: 0.6706 prec@top3: 0.6032 recall@top5: 0.8056 prec@top5: 0.4476 loss_action_cls: 0.0560 2022/12/03 10:21:51 - mmengine - INFO - Epoch(train) [3][4200/4451] lr: 9.6608e-02 eta: 2:55:27 time: 0.3346 data_time: 0.0115 memory: 8510 grad_norm: 0.1413 loss: 0.0506 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.6250 recall@top3: 0.6750 prec@top3: 0.4833 recall@top5: 0.8750 prec@top5: 0.3900 loss_action_cls: 0.0506 2022/12/03 10:21:58 - mmengine - INFO - Epoch(train) [3][4220/4451] lr: 9.6576e-02 eta: 2:55:21 time: 0.3356 data_time: 0.0126 memory: 8510 grad_norm: 0.1417 loss: 0.0520 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8542 recall@top3: 0.8042 prec@top3: 0.7167 recall@top5: 0.9250 prec@top5: 0.5200 loss_action_cls: 0.0520 2022/12/03 10:22:05 - mmengine - INFO - Epoch(train) [3][4240/4451] lr: 9.6544e-02 eta: 2:55:14 time: 0.3326 data_time: 0.0117 memory: 8510 grad_norm: 0.1332 loss: 0.0493 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.4833 recall@top3: 0.6583 prec@top3: 0.4833 recall@top5: 0.7167 prec@top5: 0.3200 loss_action_cls: 0.0493 2022/12/03 10:22:11 - mmengine - INFO - Epoch(train) [3][4260/4451] lr: 9.6511e-02 eta: 2:55:07 time: 0.3322 data_time: 0.0126 memory: 8510 grad_norm: 0.1359 loss: 0.0533 recall@thr=0.5: 0.4599 prec@thr=0.5: 0.5000 recall@top3: 0.7747 prec@top3: 0.6420 recall@top5: 0.9012 prec@top5: 0.4444 loss_action_cls: 0.0533 2022/12/03 10:22:18 - mmengine - INFO - Epoch(train) [3][4280/4451] lr: 9.6479e-02 eta: 2:55:00 time: 0.3341 data_time: 0.0111 memory: 8510 grad_norm: 0.1351 loss: 0.0590 recall@thr=0.5: 0.4361 prec@thr=0.5: 0.4889 recall@top3: 0.6750 prec@top3: 0.5556 recall@top5: 0.7639 prec@top5: 0.3733 loss_action_cls: 0.0590 2022/12/03 10:22:25 - mmengine - INFO - Epoch(train) [3][4300/4451] lr: 9.6446e-02 eta: 2:54:53 time: 0.3336 data_time: 0.0109 memory: 8510 grad_norm: 0.1342 loss: 0.0500 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6548 recall@top3: 0.8571 prec@top3: 0.5952 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0500 2022/12/03 10:22:31 - mmengine - INFO - Epoch(train) [3][4320/4451] lr: 9.6414e-02 eta: 2:54:47 time: 0.3346 data_time: 0.0137 memory: 8510 grad_norm: 0.1336 loss: 0.0536 recall@thr=0.5: 0.4811 prec@thr=0.5: 0.6212 recall@top3: 0.5894 prec@top3: 0.4848 recall@top5: 0.8333 prec@top5: 0.4364 loss_action_cls: 0.0536 2022/12/03 10:22:38 - mmengine - INFO - Epoch(train) [3][4340/4451] lr: 9.6381e-02 eta: 2:54:40 time: 0.3353 data_time: 0.0157 memory: 8510 grad_norm: 0.1347 loss: 0.0526 recall@thr=0.5: 0.4242 prec@thr=0.5: 0.4773 recall@top3: 0.6818 prec@top3: 0.4697 recall@top5: 0.8712 prec@top5: 0.3727 loss_action_cls: 0.0526 2022/12/03 10:22:45 - mmengine - INFO - Epoch(train) [3][4360/4451] lr: 9.6348e-02 eta: 2:54:33 time: 0.3345 data_time: 0.0113 memory: 8510 grad_norm: 0.1405 loss: 0.0517 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.7500 recall@top3: 0.7311 prec@top3: 0.5303 recall@top5: 0.8712 prec@top5: 0.4091 loss_action_cls: 0.0517 2022/12/03 10:22:51 - mmengine - INFO - Epoch(train) [3][4380/4451] lr: 9.6315e-02 eta: 2:54:26 time: 0.3335 data_time: 0.0116 memory: 8510 grad_norm: 0.1344 loss: 0.0521 recall@thr=0.5: 0.5615 prec@thr=0.5: 0.6346 recall@top3: 0.7865 prec@top3: 0.5513 recall@top5: 0.9154 prec@top5: 0.4154 loss_action_cls: 0.0521 2022/12/03 10:22:58 - mmengine - INFO - Epoch(train) [3][4400/4451] lr: 9.6281e-02 eta: 2:54:20 time: 0.3332 data_time: 0.0132 memory: 8510 grad_norm: 0.1386 loss: 0.0571 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.5238 recall@top3: 0.7500 prec@top3: 0.4286 recall@top5: 0.7857 prec@top5: 0.2714 loss_action_cls: 0.0571 2022/12/03 10:23:05 - mmengine - INFO - Epoch(train) [3][4420/4451] lr: 9.6248e-02 eta: 2:54:13 time: 0.3353 data_time: 0.0135 memory: 8510 grad_norm: 0.1386 loss: 0.0556 recall@thr=0.5: 0.5961 prec@thr=0.5: 0.6657 recall@top3: 0.7235 prec@top3: 0.5882 recall@top5: 0.8961 prec@top5: 0.4706 loss_action_cls: 0.0556 2022/12/03 10:23:11 - mmengine - INFO - Epoch(train) [3][4440/4451] lr: 9.6214e-02 eta: 2:54:06 time: 0.3345 data_time: 0.0148 memory: 8510 grad_norm: 0.1480 loss: 0.0544 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8492 recall@top3: 0.8929 prec@top3: 0.6825 recall@top5: 0.9603 prec@top5: 0.4476 loss_action_cls: 0.0544 2022/12/03 10:23:15 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:23:15 - mmengine - INFO - Epoch(train) [3][4451/4451] lr: 9.6196e-02 eta: 2:54:02 time: 0.3305 data_time: 0.0139 memory: 8510 grad_norm: 0.1424 loss: 0.0556 recall@thr=0.5: 0.4259 prec@thr=0.5: 0.3611 recall@top3: 0.7130 prec@top3: 0.4630 recall@top5: 0.8241 prec@top5: 0.3333 loss_action_cls: 0.0556 2022/12/03 10:23:15 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/12/03 10:23:21 - mmengine - INFO - Epoch(val) [3][ 20/6282] eta: 0:06:45 time: 0.0647 data_time: 0.0205 memory: 662 2022/12/03 10:23:22 - mmengine - INFO - Epoch(val) [3][ 40/6282] eta: 0:05:57 time: 0.0499 data_time: 0.0060 memory: 662 2022/12/03 10:23:23 - mmengine - INFO - Epoch(val) [3][ 60/6282] eta: 0:05:38 time: 0.0487 data_time: 0.0078 memory: 662 2022/12/03 10:23:24 - mmengine - INFO - Epoch(val) [3][ 80/6282] eta: 0:05:31 time: 0.0501 data_time: 0.0094 memory: 662 2022/12/03 10:23:25 - mmengine - INFO - Epoch(val) [3][ 100/6282] eta: 0:05:23 time: 0.0480 data_time: 0.0080 memory: 662 2022/12/03 10:23:26 - mmengine - INFO - Epoch(val) [3][ 120/6282] eta: 0:05:22 time: 0.0521 data_time: 0.0073 memory: 733 2022/12/03 10:23:27 - mmengine - INFO - Epoch(val) [3][ 140/6282] eta: 0:05:22 time: 0.0542 data_time: 0.0077 memory: 733 2022/12/03 10:23:28 - mmengine - INFO - Epoch(val) [3][ 160/6282] eta: 0:05:27 time: 0.0599 data_time: 0.0098 memory: 733 2022/12/03 10:23:29 - mmengine - INFO - Epoch(val) [3][ 180/6282] eta: 0:05:28 time: 0.0560 data_time: 0.0065 memory: 733 2022/12/03 10:23:31 - mmengine - INFO - Epoch(val) [3][ 200/6282] eta: 0:05:28 time: 0.0567 data_time: 0.0074 memory: 733 2022/12/03 10:23:32 - mmengine - INFO - Epoch(val) [3][ 220/6282] eta: 0:05:27 time: 0.0530 data_time: 0.0046 memory: 674 2022/12/03 10:23:33 - mmengine - INFO - Epoch(val) [3][ 240/6282] eta: 0:05:24 time: 0.0509 data_time: 0.0076 memory: 674 2022/12/03 10:23:34 - mmengine - INFO - Epoch(val) [3][ 260/6282] eta: 0:05:22 time: 0.0515 data_time: 0.0068 memory: 674 2022/12/03 10:23:35 - mmengine - INFO - Epoch(val) [3][ 280/6282] eta: 0:05:19 time: 0.0498 data_time: 0.0064 memory: 674 2022/12/03 10:23:36 - mmengine - INFO - Epoch(val) [3][ 300/6282] eta: 0:05:18 time: 0.0517 data_time: 0.0094 memory: 733 2022/12/03 10:23:37 - mmengine - INFO - Epoch(val) [3][ 320/6282] eta: 0:05:17 time: 0.0546 data_time: 0.0051 memory: 733 2022/12/03 10:23:38 - mmengine - INFO - Epoch(val) [3][ 340/6282] eta: 0:05:18 time: 0.0581 data_time: 0.0066 memory: 733 2022/12/03 10:23:39 - mmengine - INFO - Epoch(val) [3][ 360/6282] eta: 0:05:19 time: 0.0611 data_time: 0.0081 memory: 733 2022/12/03 10:23:40 - mmengine - INFO - Epoch(val) [3][ 380/6282] eta: 0:05:19 time: 0.0568 data_time: 0.0083 memory: 733 2022/12/03 10:23:41 - mmengine - INFO - Epoch(val) [3][ 400/6282] eta: 0:05:18 time: 0.0553 data_time: 0.0082 memory: 733 2022/12/03 10:23:42 - mmengine - INFO - Epoch(val) [3][ 420/6282] eta: 0:05:17 time: 0.0537 data_time: 0.0091 memory: 679 2022/12/03 10:23:44 - mmengine - INFO - Epoch(val) [3][ 440/6282] eta: 0:05:16 time: 0.0553 data_time: 0.0073 memory: 679 2022/12/03 10:23:45 - mmengine - INFO - Epoch(val) [3][ 460/6282] eta: 0:05:14 time: 0.0511 data_time: 0.0052 memory: 679 2022/12/03 10:23:46 - mmengine - INFO - Epoch(val) [3][ 480/6282] eta: 0:05:12 time: 0.0486 data_time: 0.0070 memory: 679 2022/12/03 10:23:47 - mmengine - INFO - Epoch(val) [3][ 500/6282] eta: 0:05:11 time: 0.0533 data_time: 0.0072 memory: 679 2022/12/03 10:23:48 - mmengine - INFO - Epoch(val) [3][ 520/6282] eta: 0:05:09 time: 0.0514 data_time: 0.0081 memory: 674 2022/12/03 10:23:49 - mmengine - INFO - Epoch(val) [3][ 540/6282] eta: 0:05:07 time: 0.0509 data_time: 0.0066 memory: 674 2022/12/03 10:23:50 - mmengine - INFO - Epoch(val) [3][ 560/6282] eta: 0:05:06 time: 0.0525 data_time: 0.0069 memory: 674 2022/12/03 10:23:51 - mmengine - INFO - Epoch(val) [3][ 580/6282] eta: 0:05:05 time: 0.0514 data_time: 0.0069 memory: 674 2022/12/03 10:23:52 - mmengine - INFO - Epoch(val) [3][ 600/6282] eta: 0:05:03 time: 0.0530 data_time: 0.0097 memory: 674 2022/12/03 10:23:53 - mmengine - INFO - Epoch(val) [3][ 620/6282] eta: 0:05:02 time: 0.0522 data_time: 0.0103 memory: 674 2022/12/03 10:23:54 - mmengine - INFO - Epoch(val) [3][ 640/6282] eta: 0:05:01 time: 0.0544 data_time: 0.0107 memory: 670 2022/12/03 10:23:55 - mmengine - INFO - Epoch(val) [3][ 660/6282] eta: 0:05:00 time: 0.0509 data_time: 0.0079 memory: 670 2022/12/03 10:23:56 - mmengine - INFO - Epoch(val) [3][ 680/6282] eta: 0:04:58 time: 0.0486 data_time: 0.0095 memory: 670 2022/12/03 10:23:57 - mmengine - INFO - Epoch(val) [3][ 700/6282] eta: 0:04:56 time: 0.0515 data_time: 0.0073 memory: 670 2022/12/03 10:23:58 - mmengine - INFO - Epoch(val) [3][ 720/6282] eta: 0:04:55 time: 0.0521 data_time: 0.0088 memory: 733 2022/12/03 10:23:59 - mmengine - INFO - Epoch(val) [3][ 740/6282] eta: 0:04:55 time: 0.0561 data_time: 0.0114 memory: 733 2022/12/03 10:24:01 - mmengine - INFO - Epoch(val) [3][ 760/6282] eta: 0:04:57 time: 0.0743 data_time: 0.0263 memory: 733 2022/12/03 10:24:02 - mmengine - INFO - Epoch(val) [3][ 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time: 0.0548 data_time: 0.0070 memory: 662 2022/12/03 10:24:12 - mmengine - INFO - Epoch(val) [3][ 960/6282] eta: 0:04:50 time: 0.0508 data_time: 0.0085 memory: 662 2022/12/03 10:24:13 - mmengine - INFO - Epoch(val) [3][ 980/6282] eta: 0:04:49 time: 0.0505 data_time: 0.0060 memory: 662 2022/12/03 10:24:14 - mmengine - INFO - Epoch(val) [3][1000/6282] eta: 0:04:48 time: 0.0525 data_time: 0.0058 memory: 662 2022/12/03 10:24:15 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:04:46 time: 0.0521 data_time: 0.0085 memory: 674 2022/12/03 10:24:16 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:04:45 time: 0.0544 data_time: 0.0058 memory: 674 2022/12/03 10:24:18 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:04:44 time: 0.0587 data_time: 0.0109 memory: 674 2022/12/03 10:24:19 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:04:43 time: 0.0547 data_time: 0.0067 memory: 674 2022/12/03 10:24:20 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:04:42 time: 0.0534 data_time: 0.0061 memory: 674 2022/12/03 10:24:21 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:04:41 time: 0.0531 data_time: 0.0079 memory: 674 2022/12/03 10:24:22 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:04:40 time: 0.0534 data_time: 0.0091 memory: 674 2022/12/03 10:24:23 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:04:39 time: 0.0537 data_time: 0.0097 memory: 674 2022/12/03 10:24:24 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:04:37 time: 0.0518 data_time: 0.0087 memory: 674 2022/12/03 10:24:25 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:04:36 time: 0.0492 data_time: 0.0074 memory: 674 2022/12/03 10:24:26 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:04:34 time: 0.0486 data_time: 0.0066 memory: 674 2022/12/03 10:24:27 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:04:33 time: 0.0568 data_time: 0.0091 memory: 733 2022/12/03 10:24:28 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:04:32 time: 0.0561 data_time: 0.0113 memory: 733 2022/12/03 10:24:30 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:04:33 time: 0.0721 data_time: 0.0188 memory: 733 2022/12/03 10:24:31 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:04:32 time: 0.0627 data_time: 0.0098 memory: 733 2022/12/03 10:24:32 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:04:32 time: 0.0625 data_time: 0.0159 memory: 733 2022/12/03 10:24:33 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:04:31 time: 0.0586 data_time: 0.0130 memory: 733 2022/12/03 10:24:35 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:04:30 time: 0.0644 data_time: 0.0160 memory: 733 2022/12/03 10:24:36 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:04:30 time: 0.0587 data_time: 0.0122 memory: 733 2022/12/03 10:24:37 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:04:29 time: 0.0654 data_time: 0.0200 memory: 733 2022/12/03 10:24:39 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:04:29 time: 0.0685 data_time: 0.0198 memory: 733 2022/12/03 10:24:40 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:04:28 time: 0.0539 data_time: 0.0074 memory: 733 2022/12/03 10:24:41 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:04:26 time: 0.0521 data_time: 0.0061 memory: 733 2022/12/03 10:24:42 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:04:25 time: 0.0527 data_time: 0.0057 memory: 733 2022/12/03 10:24:43 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:04:24 time: 0.0509 data_time: 0.0052 memory: 733 2022/12/03 10:24:44 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:04:23 time: 0.0519 data_time: 0.0055 memory: 820 2022/12/03 10:24:45 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:04:22 time: 0.0595 data_time: 0.0072 memory: 820 2022/12/03 10:24:46 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:04:21 time: 0.0623 data_time: 0.0111 memory: 820 2022/12/03 10:24:47 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:04:20 time: 0.0612 data_time: 0.0073 memory: 820 2022/12/03 10:24:49 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:04:19 time: 0.0605 data_time: 0.0068 memory: 820 2022/12/03 10:24:50 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:04:19 time: 0.0600 data_time: 0.0075 memory: 820 2022/12/03 10:24:51 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:04:17 time: 0.0548 data_time: 0.0083 memory: 733 2022/12/03 10:24:52 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:04:16 time: 0.0552 data_time: 0.0079 memory: 733 2022/12/03 10:24:53 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:04:15 time: 0.0570 data_time: 0.0093 memory: 733 2022/12/03 10:24:54 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:04:14 time: 0.0511 data_time: 0.0068 memory: 733 2022/12/03 10:24:55 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:04:13 time: 0.0534 data_time: 0.0062 memory: 733 2022/12/03 10:24:56 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:04:11 time: 0.0522 data_time: 0.0076 memory: 733 2022/12/03 10:24:58 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:04:10 time: 0.0572 data_time: 0.0084 memory: 733 2022/12/03 10:24:59 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:04:09 time: 0.0545 data_time: 0.0082 memory: 733 2022/12/03 10:25:00 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:04:08 time: 0.0543 data_time: 0.0089 memory: 733 2022/12/03 10:25:01 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:04:07 time: 0.0607 data_time: 0.0126 memory: 733 2022/12/03 10:25:02 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:04:06 time: 0.0556 data_time: 0.0075 memory: 733 2022/12/03 10:25:03 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:04:05 time: 0.0657 data_time: 0.0161 memory: 733 2022/12/03 10:25:05 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:04:05 time: 0.0610 data_time: 0.0111 memory: 733 2022/12/03 10:25:06 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:04:04 time: 0.0657 data_time: 0.0165 memory: 733 2022/12/03 10:25:07 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:04:03 time: 0.0591 data_time: 0.0090 memory: 733 2022/12/03 10:25:08 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:04:02 time: 0.0653 data_time: 0.0185 memory: 733 2022/12/03 10:25:09 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:04:01 time: 0.0542 data_time: 0.0069 memory: 679 2022/12/03 10:25:11 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:04:00 time: 0.0534 data_time: 0.0091 memory: 679 2022/12/03 10:25:12 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:03:59 time: 0.0562 data_time: 0.0117 memory: 679 2022/12/03 10:25:13 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:03:58 time: 0.0528 data_time: 0.0074 memory: 679 2022/12/03 10:25:14 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:03:56 time: 0.0532 data_time: 0.0090 memory: 679 2022/12/03 10:25:15 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:03:55 time: 0.0501 data_time: 0.0062 memory: 679 2022/12/03 10:25:16 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:03:54 time: 0.0532 data_time: 0.0069 memory: 679 2022/12/03 10:25:17 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:03:53 time: 0.0537 data_time: 0.0086 memory: 679 2022/12/03 10:25:18 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:03:51 time: 0.0548 data_time: 0.0080 memory: 679 2022/12/03 10:25:19 - mmengine - INFO - Epoch(val) [3][2140/6282] eta: 0:03:50 time: 0.0507 data_time: 0.0107 memory: 679 2022/12/03 10:25:20 - mmengine - INFO - Epoch(val) [3][2160/6282] eta: 0:03:49 time: 0.0497 data_time: 0.0055 memory: 674 2022/12/03 10:25:21 - mmengine - INFO - Epoch(val) [3][2180/6282] eta: 0:03:48 time: 0.0533 data_time: 0.0086 memory: 674 2022/12/03 10:25:22 - mmengine - INFO - Epoch(val) [3][2200/6282] eta: 0:03:46 time: 0.0504 data_time: 0.0077 memory: 674 2022/12/03 10:25:23 - mmengine - INFO - Epoch(val) [3][2220/6282] eta: 0:03:45 time: 0.0528 data_time: 0.0082 memory: 674 2022/12/03 10:25:24 - mmengine - INFO - Epoch(val) [3][2240/6282] eta: 0:03:44 time: 0.0519 data_time: 0.0075 memory: 674 2022/12/03 10:25:25 - mmengine - INFO - Epoch(val) [3][2260/6282] eta: 0:03:43 time: 0.0526 data_time: 0.0075 memory: 679 2022/12/03 10:25:26 - mmengine - INFO - Epoch(val) [3][2280/6282] eta: 0:03:41 time: 0.0505 data_time: 0.0060 memory: 679 2022/12/03 10:25:27 - mmengine - INFO - Epoch(val) [3][2300/6282] eta: 0:03:40 time: 0.0501 data_time: 0.0073 memory: 679 2022/12/03 10:25:28 - mmengine - INFO - Epoch(val) [3][2320/6282] eta: 0:03:39 time: 0.0545 data_time: 0.0074 memory: 679 2022/12/03 10:25:29 - mmengine - INFO - Epoch(val) [3][2340/6282] eta: 0:03:38 time: 0.0517 data_time: 0.0080 memory: 679 2022/12/03 10:25:31 - mmengine - INFO - Epoch(val) [3][2360/6282] eta: 0:03:36 time: 0.0525 data_time: 0.0083 memory: 674 2022/12/03 10:25:32 - mmengine - INFO - Epoch(val) [3][2380/6282] eta: 0:03:35 time: 0.0534 data_time: 0.0070 memory: 674 2022/12/03 10:25:33 - mmengine - INFO - Epoch(val) [3][2400/6282] eta: 0:03:34 time: 0.0540 data_time: 0.0087 memory: 674 2022/12/03 10:25:34 - mmengine - INFO - Epoch(val) [3][2420/6282] eta: 0:03:33 time: 0.0511 data_time: 0.0080 memory: 674 2022/12/03 10:25:35 - mmengine - INFO - Epoch(val) [3][2440/6282] eta: 0:03:32 time: 0.0517 data_time: 0.0083 memory: 674 2022/12/03 10:25:36 - mmengine - INFO - Epoch(val) [3][2460/6282] eta: 0:03:31 time: 0.0580 data_time: 0.0068 memory: 733 2022/12/03 10:25:37 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:03:30 time: 0.0575 data_time: 0.0092 memory: 733 2022/12/03 10:25:38 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:03:29 time: 0.0567 data_time: 0.0071 memory: 733 2022/12/03 10:25:39 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:03:27 time: 0.0573 data_time: 0.0076 memory: 733 2022/12/03 10:25:40 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:03:26 time: 0.0567 data_time: 0.0086 memory: 733 2022/12/03 10:25:42 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:03:25 time: 0.0582 data_time: 0.0106 memory: 733 2022/12/03 10:25:43 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:03:24 time: 0.0555 data_time: 0.0107 memory: 733 2022/12/03 10:25:44 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:03:23 time: 0.0657 data_time: 0.0155 memory: 733 2022/12/03 10:25:45 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:03:22 time: 0.0576 data_time: 0.0105 memory: 733 2022/12/03 10:25:47 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:03:22 time: 0.0644 data_time: 0.0151 memory: 733 2022/12/03 10:25:48 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:03:20 time: 0.0564 data_time: 0.0064 memory: 812 2022/12/03 10:25:49 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:03:20 time: 0.0638 data_time: 0.0109 memory: 812 2022/12/03 10:25:50 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:03:19 time: 0.0640 data_time: 0.0088 memory: 812 2022/12/03 10:25:51 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:03:18 time: 0.0631 data_time: 0.0101 memory: 812 2022/12/03 10:25:53 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:03:17 time: 0.0617 data_time: 0.0076 memory: 812 2022/12/03 10:25:54 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:03:16 time: 0.0539 data_time: 0.0063 memory: 679 2022/12/03 10:25:55 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:03:14 time: 0.0507 data_time: 0.0069 memory: 679 2022/12/03 10:25:56 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:03:13 time: 0.0536 data_time: 0.0085 memory: 679 2022/12/03 10:25:57 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:03:12 time: 0.0507 data_time: 0.0059 memory: 679 2022/12/03 10:25:58 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:03:11 time: 0.0486 data_time: 0.0058 memory: 679 2022/12/03 10:25:59 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:03:10 time: 0.0551 data_time: 0.0097 memory: 733 2022/12/03 10:26:00 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:03:09 time: 0.0580 data_time: 0.0090 memory: 733 2022/12/03 10:26:01 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:03:07 time: 0.0565 data_time: 0.0068 memory: 733 2022/12/03 10:26:02 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:03:06 time: 0.0531 data_time: 0.0079 memory: 733 2022/12/03 10:26:03 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:03:05 time: 0.0511 data_time: 0.0059 memory: 702 2022/12/03 10:26:04 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:03:04 time: 0.0530 data_time: 0.0069 memory: 702 2022/12/03 10:26:05 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:03:03 time: 0.0526 data_time: 0.0077 memory: 702 2022/12/03 10:26:06 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:03:02 time: 0.0496 data_time: 0.0093 memory: 702 2022/12/03 10:26:08 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:03:00 time: 0.0543 data_time: 0.0058 memory: 733 2022/12/03 10:26:09 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:02:59 time: 0.0562 data_time: 0.0096 memory: 733 2022/12/03 10:26:10 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:02:58 time: 0.0652 data_time: 0.0089 memory: 733 2022/12/03 10:26:11 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:02:57 time: 0.0569 data_time: 0.0082 memory: 733 2022/12/03 10:26:12 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:02:56 time: 0.0516 data_time: 0.0080 memory: 733 2022/12/03 10:26:13 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:02:55 time: 0.0528 data_time: 0.0084 memory: 679 2022/12/03 10:26:14 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:02:54 time: 0.0536 data_time: 0.0084 memory: 679 2022/12/03 10:26:15 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:02:53 time: 0.0560 data_time: 0.0093 memory: 679 2022/12/03 10:26:16 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:02:51 time: 0.0498 data_time: 0.0064 memory: 679 2022/12/03 10:26:17 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:02:50 time: 0.0530 data_time: 0.0077 memory: 733 2022/12/03 10:26:19 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:02:49 time: 0.0532 data_time: 0.0074 memory: 733 2022/12/03 10:26:20 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:02:48 time: 0.0560 data_time: 0.0071 memory: 733 2022/12/03 10:26:21 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:02:47 time: 0.0585 data_time: 0.0101 memory: 733 2022/12/03 10:26:22 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:02:46 time: 0.0560 data_time: 0.0070 memory: 733 2022/12/03 10:26:23 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:02:45 time: 0.0570 data_time: 0.0075 memory: 733 2022/12/03 10:26:24 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:02:44 time: 0.0571 data_time: 0.0081 memory: 733 2022/12/03 10:26:25 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:02:43 time: 0.0559 data_time: 0.0069 memory: 733 2022/12/03 10:26:27 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:02:42 time: 0.0576 data_time: 0.0084 memory: 733 2022/12/03 10:26:28 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:02:41 time: 0.0612 data_time: 0.0127 memory: 733 2022/12/03 10:26:29 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:02:39 time: 0.0520 data_time: 0.0066 memory: 674 2022/12/03 10:26:30 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:02:38 time: 0.0533 data_time: 0.0091 memory: 674 2022/12/03 10:26:31 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:02:37 time: 0.0511 data_time: 0.0060 memory: 674 2022/12/03 10:26:32 - mmengine - INFO - Epoch(val) [3][3460/6282] eta: 0:02:36 time: 0.0540 data_time: 0.0067 memory: 674 2022/12/03 10:26:33 - mmengine - INFO - Epoch(val) [3][3480/6282] eta: 0:02:35 time: 0.0517 data_time: 0.0084 memory: 674 2022/12/03 10:26:34 - mmengine - INFO - Epoch(val) [3][3500/6282] eta: 0:02:34 time: 0.0519 data_time: 0.0066 memory: 674 2022/12/03 10:26:35 - mmengine - INFO - Epoch(val) [3][3520/6282] eta: 0:02:32 time: 0.0506 data_time: 0.0059 memory: 674 2022/12/03 10:26:36 - mmengine - INFO - Epoch(val) [3][3540/6282] eta: 0:02:31 time: 0.0499 data_time: 0.0073 memory: 674 2022/12/03 10:26:37 - mmengine - INFO - Epoch(val) [3][3560/6282] eta: 0:02:30 time: 0.0503 data_time: 0.0101 memory: 674 2022/12/03 10:26:38 - mmengine - INFO - Epoch(val) [3][3580/6282] eta: 0:02:29 time: 0.0537 data_time: 0.0102 memory: 716 2022/12/03 10:26:39 - mmengine - INFO - Epoch(val) [3][3600/6282] eta: 0:02:28 time: 0.0542 data_time: 0.0086 memory: 716 2022/12/03 10:26:40 - mmengine - INFO - Epoch(val) [3][3620/6282] eta: 0:02:27 time: 0.0501 data_time: 0.0046 memory: 716 2022/12/03 10:26:41 - mmengine - INFO - Epoch(val) [3][3640/6282] eta: 0:02:25 time: 0.0499 data_time: 0.0059 memory: 716 2022/12/03 10:26:42 - mmengine - INFO - Epoch(val) [3][3660/6282] eta: 0:02:24 time: 0.0545 data_time: 0.0093 memory: 716 2022/12/03 10:26:43 - mmengine - INFO - Epoch(val) [3][3680/6282] eta: 0:02:23 time: 0.0571 data_time: 0.0072 memory: 733 2022/12/03 10:26:45 - mmengine - INFO - Epoch(val) [3][3700/6282] eta: 0:02:22 time: 0.0554 data_time: 0.0070 memory: 733 2022/12/03 10:26:46 - mmengine - INFO - Epoch(val) 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0:02:12 time: 0.0554 data_time: 0.0081 memory: 733 2022/12/03 10:26:56 - mmengine - INFO - Epoch(val) [3][3900/6282] eta: 0:02:11 time: 0.0567 data_time: 0.0061 memory: 733 2022/12/03 10:26:57 - mmengine - INFO - Epoch(val) [3][3920/6282] eta: 0:02:10 time: 0.0558 data_time: 0.0060 memory: 733 2022/12/03 10:26:58 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:02:09 time: 0.0527 data_time: 0.0082 memory: 733 2022/12/03 10:26:59 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:02:08 time: 0.0558 data_time: 0.0101 memory: 733 2022/12/03 10:27:00 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:02:07 time: 0.0525 data_time: 0.0073 memory: 733 2022/12/03 10:27:01 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:02:06 time: 0.0548 data_time: 0.0074 memory: 733 2022/12/03 10:27:03 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:02:05 time: 0.0515 data_time: 0.0046 memory: 733 2022/12/03 10:27:04 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:02:03 time: 0.0504 data_time: 0.0061 memory: 812 2022/12/03 10:27:05 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:02:02 time: 0.0572 data_time: 0.0069 memory: 812 2022/12/03 10:27:06 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:02:01 time: 0.0614 data_time: 0.0096 memory: 812 2022/12/03 10:27:07 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:02:00 time: 0.0609 data_time: 0.0092 memory: 812 2022/12/03 10:27:08 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:01:59 time: 0.0588 data_time: 0.0051 memory: 812 2022/12/03 10:27:09 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:01:58 time: 0.0572 data_time: 0.0072 memory: 812 2022/12/03 10:27:10 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:01:57 time: 0.0515 data_time: 0.0063 memory: 674 2022/12/03 10:27:12 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:01:56 time: 0.0540 data_time: 0.0080 memory: 674 2022/12/03 10:27:13 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:01:55 time: 0.0531 data_time: 0.0095 memory: 674 2022/12/03 10:27:14 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:01:54 time: 0.0494 data_time: 0.0067 memory: 674 2022/12/03 10:27:15 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:01:52 time: 0.0538 data_time: 0.0080 memory: 674 2022/12/03 10:27:16 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:01:51 time: 0.0492 data_time: 0.0071 memory: 673 2022/12/03 10:27:17 - mmengine - INFO - Epoch(val) [3][4280/6282] eta: 0:01:50 time: 0.0507 data_time: 0.0072 memory: 673 2022/12/03 10:27:18 - mmengine - INFO - Epoch(val) [3][4300/6282] eta: 0:01:49 time: 0.0481 data_time: 0.0074 memory: 673 2022/12/03 10:27:19 - mmengine - INFO - Epoch(val) [3][4320/6282] eta: 0:01:48 time: 0.0489 data_time: 0.0056 memory: 673 2022/12/03 10:27:20 - mmengine - INFO - Epoch(val) [3][4340/6282] eta: 0:01:47 time: 0.0486 data_time: 0.0057 memory: 673 2022/12/03 10:27:21 - mmengine - INFO - Epoch(val) [3][4360/6282] eta: 0:01:45 time: 0.0542 data_time: 0.0079 memory: 733 2022/12/03 10:27:22 - mmengine - INFO - Epoch(val) [3][4380/6282] eta: 0:01:44 time: 0.0556 data_time: 0.0080 memory: 733 2022/12/03 10:27:23 - mmengine - INFO - Epoch(val) [3][4400/6282] eta: 0:01:43 time: 0.0559 data_time: 0.0073 memory: 733 2022/12/03 10:27:24 - mmengine - INFO - Epoch(val) [3][4420/6282] eta: 0:01:42 time: 0.0587 data_time: 0.0076 memory: 733 2022/12/03 10:27:25 - mmengine - INFO - Epoch(val) [3][4440/6282] eta: 0:01:41 time: 0.0541 data_time: 0.0065 memory: 740 2022/12/03 10:27:26 - mmengine - INFO - Epoch(val) [3][4460/6282] eta: 0:01:40 time: 0.0562 data_time: 0.0060 memory: 740 2022/12/03 10:27:27 - mmengine - INFO - Epoch(val) [3][4480/6282] eta: 0:01:39 time: 0.0549 data_time: 0.0048 memory: 740 2022/12/03 10:27:29 - mmengine - INFO - Epoch(val) [3][4500/6282] eta: 0:01:38 time: 0.0568 data_time: 0.0063 memory: 740 2022/12/03 10:27:30 - mmengine - INFO - Epoch(val) [3][4520/6282] eta: 0:01:37 time: 0.0573 data_time: 0.0052 memory: 740 2022/12/03 10:27:31 - mmengine - INFO - Epoch(val) [3][4540/6282] eta: 0:01:36 time: 0.0527 data_time: 0.0083 memory: 679 2022/12/03 10:27:32 - mmengine - INFO - Epoch(val) [3][4560/6282] eta: 0:01:35 time: 0.0547 data_time: 0.0122 memory: 679 2022/12/03 10:27:33 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:33 time: 0.0533 data_time: 0.0072 memory: 679 2022/12/03 10:27:34 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:32 time: 0.0467 data_time: 0.0068 memory: 679 2022/12/03 10:27:35 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:01:31 time: 0.0522 data_time: 0.0070 memory: 679 2022/12/03 10:27:36 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:30 time: 0.0513 data_time: 0.0071 memory: 740 2022/12/03 10:27:37 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:01:29 time: 0.0584 data_time: 0.0047 memory: 740 2022/12/03 10:27:38 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:28 time: 0.0550 data_time: 0.0080 memory: 740 2022/12/03 10:27:39 - mmengine - INFO - Epoch(val) 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0:01:18 time: 0.0530 data_time: 0.0051 memory: 733 2022/12/03 10:27:49 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:17 time: 0.0573 data_time: 0.0063 memory: 733 2022/12/03 10:27:50 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:16 time: 0.0558 data_time: 0.0090 memory: 733 2022/12/03 10:27:51 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:01:14 time: 0.0554 data_time: 0.0076 memory: 736 2022/12/03 10:27:52 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:01:13 time: 0.0530 data_time: 0.0078 memory: 736 2022/12/03 10:27:53 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:12 time: 0.0580 data_time: 0.0063 memory: 736 2022/12/03 10:27:54 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:01:11 time: 0.0557 data_time: 0.0065 memory: 736 2022/12/03 10:27:56 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:01:10 time: 0.0538 data_time: 0.0071 memory: 736 2022/12/03 10:27:57 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:01:09 time: 0.0560 data_time: 0.0068 memory: 736 2022/12/03 10:27:58 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:01:08 time: 0.0515 data_time: 0.0075 memory: 679 2022/12/03 10:27:59 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:01:07 time: 0.0538 data_time: 0.0055 memory: 679 2022/12/03 10:28:00 - mmengine - INFO - Epoch(val) [3][5080/6282] eta: 0:01:06 time: 0.0515 data_time: 0.0077 memory: 679 2022/12/03 10:28:01 - mmengine - INFO - Epoch(val) [3][5100/6282] eta: 0:01:05 time: 0.0509 data_time: 0.0076 memory: 679 2022/12/03 10:28:02 - mmengine - INFO - Epoch(val) [3][5120/6282] eta: 0:01:03 time: 0.0543 data_time: 0.0079 memory: 679 2022/12/03 10:28:03 - mmengine - INFO - Epoch(val) [3][5140/6282] eta: 0:01:02 time: 0.0557 data_time: 0.0087 memory: 674 2022/12/03 10:28:04 - mmengine - INFO - Epoch(val) [3][5160/6282] eta: 0:01:01 time: 0.0531 data_time: 0.0071 memory: 674 2022/12/03 10:28:05 - mmengine - INFO - Epoch(val) [3][5180/6282] eta: 0:01:00 time: 0.0512 data_time: 0.0067 memory: 674 2022/12/03 10:28:06 - mmengine - INFO - Epoch(val) [3][5200/6282] eta: 0:00:59 time: 0.0529 data_time: 0.0115 memory: 674 2022/12/03 10:28:07 - mmengine - INFO - Epoch(val) [3][5220/6282] eta: 0:00:58 time: 0.0528 data_time: 0.0081 memory: 674 2022/12/03 10:28:08 - mmengine - INFO - Epoch(val) [3][5240/6282] eta: 0:00:57 time: 0.0546 data_time: 0.0068 memory: 673 2022/12/03 10:28:09 - mmengine - INFO - Epoch(val) [3][5260/6282] eta: 0:00:56 time: 0.0517 data_time: 0.0088 memory: 673 2022/12/03 10:28:10 - mmengine - INFO - Epoch(val) [3][5280/6282] eta: 0:00:55 time: 0.0546 data_time: 0.0104 memory: 673 2022/12/03 10:28:12 - mmengine - INFO - Epoch(val) [3][5300/6282] eta: 0:00:53 time: 0.0549 data_time: 0.0092 memory: 673 2022/12/03 10:28:13 - mmengine - INFO - Epoch(val) [3][5320/6282] eta: 0:00:52 time: 0.0518 data_time: 0.0079 memory: 674 2022/12/03 10:28:14 - mmengine - INFO - Epoch(val) [3][5340/6282] eta: 0:00:51 time: 0.0543 data_time: 0.0085 memory: 674 2022/12/03 10:28:15 - mmengine - INFO - Epoch(val) [3][5360/6282] eta: 0:00:50 time: 0.0551 data_time: 0.0077 memory: 674 2022/12/03 10:28:16 - mmengine - INFO - Epoch(val) [3][5380/6282] eta: 0:00:49 time: 0.0527 data_time: 0.0061 memory: 674 2022/12/03 10:28:17 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:00:48 time: 0.0553 data_time: 0.0119 memory: 674 2022/12/03 10:28:18 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:47 time: 0.0715 data_time: 0.0119 memory: 674 2022/12/03 10:28:19 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:00:46 time: 0.0536 data_time: 0.0094 memory: 674 2022/12/03 10:28:21 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:45 time: 0.0527 data_time: 0.0089 memory: 674 2022/12/03 10:28:22 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:44 time: 0.0560 data_time: 0.0084 memory: 674 2022/12/03 10:28:23 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:43 time: 0.0626 data_time: 0.0181 memory: 674 2022/12/03 10:28:24 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:00:41 time: 0.0541 data_time: 0.0104 memory: 695 2022/12/03 10:28:25 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:00:40 time: 0.0554 data_time: 0.0116 memory: 695 2022/12/03 10:28:26 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:39 time: 0.0551 data_time: 0.0102 memory: 695 2022/12/03 10:28:27 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:00:38 time: 0.0559 data_time: 0.0089 memory: 695 2022/12/03 10:28:28 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:00:37 time: 0.0550 data_time: 0.0077 memory: 695 2022/12/03 10:28:30 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:00:36 time: 0.0570 data_time: 0.0108 memory: 695 2022/12/03 10:28:31 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:00:35 time: 0.0531 data_time: 0.0094 memory: 674 2022/12/03 10:28:32 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:34 time: 0.0531 data_time: 0.0063 memory: 674 2022/12/03 10:28:33 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:33 time: 0.0516 data_time: 0.0070 memory: 674 2022/12/03 10:28:34 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:31 time: 0.0489 data_time: 0.0080 memory: 674 2022/12/03 10:28:35 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:30 time: 0.0533 data_time: 0.0066 memory: 708 2022/12/03 10:28:36 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:29 time: 0.0526 data_time: 0.0086 memory: 708 2022/12/03 10:28:37 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:28 time: 0.0538 data_time: 0.0081 memory: 708 2022/12/03 10:28:38 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:27 time: 0.0571 data_time: 0.0086 memory: 708 2022/12/03 10:28:39 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:26 time: 0.0560 data_time: 0.0076 memory: 708 2022/12/03 10:28:40 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:25 time: 0.0541 data_time: 0.0077 memory: 708 2022/12/03 10:28:41 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:24 time: 0.0523 data_time: 0.0082 memory: 695 2022/12/03 10:28:42 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:23 time: 0.0529 data_time: 0.0076 memory: 695 2022/12/03 10:28:43 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:22 time: 0.0545 data_time: 0.0077 memory: 695 2022/12/03 10:28:44 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:00:20 time: 0.0499 data_time: 0.0049 memory: 695 2022/12/03 10:28:45 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:00:19 time: 0.0494 data_time: 0.0078 memory: 695 2022/12/03 10:28:47 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:18 time: 0.0515 data_time: 0.0057 memory: 674 2022/12/03 10:28:47 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:17 time: 0.0488 data_time: 0.0097 memory: 674 2022/12/03 10:28:49 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:00:16 time: 0.0517 data_time: 0.0086 memory: 674 2022/12/03 10:28:50 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:15 time: 0.0523 data_time: 0.0061 memory: 733 2022/12/03 10:28:51 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:14 time: 0.0546 data_time: 0.0073 memory: 733 2022/12/03 10:28:52 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:13 time: 0.0586 data_time: 0.0076 memory: 733 2022/12/03 10:28:53 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:12 time: 0.0551 data_time: 0.0073 memory: 733 2022/12/03 10:28:54 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:00:11 time: 0.0566 data_time: 0.0077 memory: 733 2022/12/03 10:28:55 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:09 time: 0.0528 data_time: 0.0067 memory: 733 2022/12/03 10:28:56 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:08 time: 0.0532 data_time: 0.0073 memory: 733 2022/12/03 10:28:57 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:07 time: 0.0546 data_time: 0.0064 memory: 733 2022/12/03 10:28:58 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:06 time: 0.0565 data_time: 0.0074 memory: 733 2022/12/03 10:29:00 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:05 time: 0.0540 data_time: 0.0061 memory: 733 2022/12/03 10:29:01 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:04 time: 0.0508 data_time: 0.0063 memory: 733 2022/12/03 10:29:01 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:03 time: 0.0468 data_time: 0.0054 memory: 733 2022/12/03 10:29:02 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:02 time: 0.0392 data_time: 0.0028 memory: 733 2022/12/03 10:29:03 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:01 time: 0.0392 data_time: 0.0027 memory: 733 2022/12/03 10:29:04 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0349 data_time: 0.0022 memory: 733 2022/12/03 10:34:48 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2466 2022/12/03 10:34:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2022/12/03 10:34:51 - mmengine - INFO - The best checkpoint with 0.2466 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2022/12/03 10:34:58 - mmengine - INFO - Epoch(train) [4][ 20/4451] lr: 9.6162e-02 eta: 2:53:57 time: 0.3658 data_time: 0.0406 memory: 8510 grad_norm: 0.1347 loss: 0.0451 recall@thr=0.5: 0.6194 prec@thr=0.5: 0.5819 recall@top3: 0.7653 prec@top3: 0.5417 recall@top5: 0.9208 prec@top5: 0.4250 loss_action_cls: 0.0451 2022/12/03 10:35:05 - mmengine - INFO - Epoch(train) [4][ 40/4451] lr: 9.6128e-02 eta: 2:53:50 time: 0.3354 data_time: 0.0111 memory: 8510 grad_norm: 0.1350 loss: 0.0496 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.7417 recall@top3: 0.8083 prec@top3: 0.6667 recall@top5: 0.9417 prec@top5: 0.4900 loss_action_cls: 0.0496 2022/12/03 10:35:12 - mmengine - INFO - Epoch(train) [4][ 60/4451] lr: 9.6094e-02 eta: 2:53:44 time: 0.3341 data_time: 0.0123 memory: 8510 grad_norm: 0.1429 loss: 0.0504 recall@thr=0.5: 0.3917 prec@thr=0.5: 0.4762 recall@top3: 0.5821 prec@top3: 0.4524 recall@top5: 0.6821 prec@top5: 0.3286 loss_action_cls: 0.0504 2022/12/03 10:35:18 - mmengine - INFO - Epoch(train) [4][ 80/4451] lr: 9.6059e-02 eta: 2:53:37 time: 0.3349 data_time: 0.0110 memory: 8510 grad_norm: 0.1414 loss: 0.0550 recall@thr=0.5: 0.5343 prec@thr=0.5: 0.5588 recall@top3: 0.6127 prec@top3: 0.4902 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0550 2022/12/03 10:35:25 - mmengine - INFO - Epoch(train) [4][ 100/4451] lr: 9.6025e-02 eta: 2:53:30 time: 0.3345 data_time: 0.0122 memory: 8510 grad_norm: 0.1385 loss: 0.0523 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7222 recall@top3: 0.8426 prec@top3: 0.6481 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0523 2022/12/03 10:35:32 - mmengine - INFO - Epoch(train) [4][ 120/4451] lr: 9.5991e-02 eta: 2:53:23 time: 0.3353 data_time: 0.0116 memory: 8510 grad_norm: 0.1375 loss: 0.0563 recall@thr=0.5: 0.1000 prec@thr=0.5: 0.2000 recall@top3: 0.6444 prec@top3: 0.4000 recall@top5: 0.8111 prec@top5: 0.3200 loss_action_cls: 0.0563 2022/12/03 10:35:38 - mmengine - INFO - Epoch(train) [4][ 140/4451] lr: 9.5956e-02 eta: 2:53:17 time: 0.3339 data_time: 0.0146 memory: 8510 grad_norm: 0.1406 loss: 0.0565 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.6111 recall@top3: 0.8111 prec@top3: 0.6889 recall@top5: 0.9500 prec@top5: 0.4667 loss_action_cls: 0.0565 2022/12/03 10:35:45 - mmengine - INFO - Epoch(train) [4][ 160/4451] lr: 9.5921e-02 eta: 2:53:10 time: 0.3350 data_time: 0.0110 memory: 8510 grad_norm: 0.1418 loss: 0.0510 recall@thr=0.5: 0.4533 prec@thr=0.5: 0.6583 recall@top3: 0.6783 prec@top3: 0.5000 recall@top5: 0.8633 prec@top5: 0.4100 loss_action_cls: 0.0510 2022/12/03 10:35:52 - mmengine - INFO - Epoch(train) [4][ 180/4451] lr: 9.5886e-02 eta: 2:53:03 time: 0.3343 data_time: 0.0155 memory: 8510 grad_norm: 0.1370 loss: 0.0506 recall@thr=0.5: 0.6198 prec@thr=0.5: 0.7937 recall@top3: 0.8111 prec@top3: 0.7937 recall@top5: 0.9722 prec@top5: 0.6000 loss_action_cls: 0.0506 2022/12/03 10:35:58 - mmengine - INFO - Epoch(train) [4][ 200/4451] lr: 9.5851e-02 eta: 2:52:56 time: 0.3353 data_time: 0.0126 memory: 8510 grad_norm: 0.1409 loss: 0.0566 recall@thr=0.5: 0.6433 prec@thr=0.5: 0.6000 recall@top3: 0.7167 prec@top3: 0.3867 recall@top5: 0.8567 prec@top5: 0.3120 loss_action_cls: 0.0566 2022/12/03 10:36:05 - mmengine - INFO - Epoch(train) [4][ 220/4451] lr: 9.5816e-02 eta: 2:52:50 time: 0.3363 data_time: 0.0115 memory: 8510 grad_norm: 0.1495 loss: 0.0532 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7167 recall@top3: 0.7444 prec@top3: 0.5111 recall@top5: 0.9833 prec@top5: 0.4000 loss_action_cls: 0.0532 2022/12/03 10:36:12 - mmengine - INFO - Epoch(train) [4][ 240/4451] lr: 9.5780e-02 eta: 2:52:43 time: 0.3368 data_time: 0.0119 memory: 8510 grad_norm: 0.1302 loss: 0.0539 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6699 recall@top3: 0.7692 prec@top3: 0.7179 recall@top5: 0.9135 prec@top5: 0.5077 loss_action_cls: 0.0539 2022/12/03 10:36:19 - mmengine - INFO - Epoch(train) [4][ 260/4451] lr: 9.5745e-02 eta: 2:52:36 time: 0.3347 data_time: 0.0110 memory: 8510 grad_norm: 0.1512 loss: 0.0489 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7300 recall@top3: 0.7625 prec@top3: 0.5000 recall@top5: 0.8417 prec@top5: 0.3500 loss_action_cls: 0.0489 2022/12/03 10:36:25 - mmengine - INFO - Epoch(train) [4][ 280/4451] lr: 9.5709e-02 eta: 2:52:30 time: 0.3349 data_time: 0.0119 memory: 8510 grad_norm: 0.1396 loss: 0.0512 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6354 recall@top3: 0.7708 prec@top3: 0.4792 recall@top5: 0.9010 prec@top5: 0.3500 loss_action_cls: 0.0512 2022/12/03 10:36:32 - mmengine - INFO - Epoch(train) [4][ 300/4451] lr: 9.5673e-02 eta: 2:52:23 time: 0.3349 data_time: 0.0130 memory: 8510 grad_norm: 0.1388 loss: 0.0501 recall@thr=0.5: 0.3931 prec@thr=0.5: 0.6181 recall@top3: 0.6438 prec@top3: 0.6806 recall@top5: 0.8701 prec@top5: 0.5583 loss_action_cls: 0.0501 2022/12/03 10:36:39 - mmengine - INFO - Epoch(train) [4][ 320/4451] lr: 9.5637e-02 eta: 2:52:16 time: 0.3339 data_time: 0.0130 memory: 8510 grad_norm: 0.1384 loss: 0.0459 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6703 recall@top3: 0.7391 prec@top3: 0.5942 recall@top5: 0.9420 prec@top5: 0.4435 loss_action_cls: 0.0459 2022/12/03 10:36:45 - mmengine - INFO - Epoch(train) [4][ 340/4451] lr: 9.5601e-02 eta: 2:52:09 time: 0.3331 data_time: 0.0128 memory: 8510 grad_norm: 0.1463 loss: 0.0528 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.7756 recall@top3: 0.8026 prec@top3: 0.6026 recall@top5: 0.9141 prec@top5: 0.4308 loss_action_cls: 0.0528 2022/12/03 10:36:52 - mmengine - INFO - Epoch(train) [4][ 360/4451] lr: 9.5565e-02 eta: 2:52:03 time: 0.3339 data_time: 0.0141 memory: 8510 grad_norm: 0.1439 loss: 0.0521 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7647 recall@top3: 0.9020 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0521 2022/12/03 10:36:59 - mmengine - INFO - Epoch(train) [4][ 380/4451] lr: 9.5528e-02 eta: 2:51:56 time: 0.3371 data_time: 0.0111 memory: 8510 grad_norm: 0.1364 loss: 0.0505 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8583 recall@top3: 0.8875 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0505 2022/12/03 10:37:05 - mmengine - INFO - Epoch(train) [4][ 400/4451] lr: 9.5492e-02 eta: 2:51:49 time: 0.3337 data_time: 0.0128 memory: 8510 grad_norm: 0.1536 loss: 0.0467 recall@thr=0.5: 0.6480 prec@thr=0.5: 0.7000 recall@top3: 0.7680 prec@top3: 0.4533 recall@top5: 0.9440 prec@top5: 0.3360 loss_action_cls: 0.0467 2022/12/03 10:37:12 - mmengine - INFO - Epoch(train) [4][ 420/4451] lr: 9.5455e-02 eta: 2:51:43 time: 0.3332 data_time: 0.0135 memory: 8510 grad_norm: 0.1429 loss: 0.0533 recall@thr=0.5: 0.4533 prec@thr=0.5: 0.4533 recall@top3: 0.8333 prec@top3: 0.5600 recall@top5: 0.8533 prec@top5: 0.3440 loss_action_cls: 0.0533 2022/12/03 10:37:19 - mmengine - INFO - Epoch(train) [4][ 440/4451] lr: 9.5418e-02 eta: 2:51:36 time: 0.3359 data_time: 0.0120 memory: 8510 grad_norm: 0.1474 loss: 0.0490 recall@thr=0.5: 0.3939 prec@thr=0.5: 0.7273 recall@top3: 0.7273 prec@top3: 0.6212 recall@top5: 0.9129 prec@top5: 0.4818 loss_action_cls: 0.0490 2022/12/03 10:37:25 - mmengine - INFO - Epoch(train) [4][ 460/4451] lr: 9.5381e-02 eta: 2:51:29 time: 0.3346 data_time: 0.0115 memory: 8510 grad_norm: 0.1373 loss: 0.0447 recall@thr=0.5: 0.7428 prec@thr=0.5: 0.7899 recall@top3: 0.8116 prec@top3: 0.8406 recall@top5: 0.9565 prec@top5: 0.6174 loss_action_cls: 0.0447 2022/12/03 10:37:32 - mmengine - INFO - Epoch(train) [4][ 480/4451] lr: 9.5344e-02 eta: 2:51:22 time: 0.3325 data_time: 0.0113 memory: 8510 grad_norm: 0.1427 loss: 0.0534 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7593 recall@top3: 0.8056 prec@top3: 0.6296 recall@top5: 0.9352 prec@top5: 0.4444 loss_action_cls: 0.0534 2022/12/03 10:37:39 - mmengine - INFO - Epoch(train) [4][ 500/4451] lr: 9.5307e-02 eta: 2:51:16 time: 0.3357 data_time: 0.0115 memory: 8510 grad_norm: 0.1438 loss: 0.0485 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7569 recall@top3: 0.8611 prec@top3: 0.7778 recall@top5: 0.9583 prec@top5: 0.5333 loss_action_cls: 0.0485 2022/12/03 10:37:46 - mmengine - INFO - Epoch(train) [4][ 520/4451] lr: 9.5270e-02 eta: 2:51:09 time: 0.3353 data_time: 0.0108 memory: 8510 grad_norm: 0.1357 loss: 0.0500 recall@thr=0.5: 0.7383 prec@thr=0.5: 0.7167 recall@top3: 0.8717 prec@top3: 0.6667 recall@top5: 0.9567 prec@top5: 0.4500 loss_action_cls: 0.0500 2022/12/03 10:37:52 - mmengine - INFO - Epoch(train) [4][ 540/4451] lr: 9.5232e-02 eta: 2:51:02 time: 0.3342 data_time: 0.0121 memory: 8510 grad_norm: 0.1428 loss: 0.0474 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6333 recall@top3: 0.5778 prec@top3: 0.4000 recall@top5: 0.8667 prec@top5: 0.3867 loss_action_cls: 0.0474 2022/12/03 10:37:59 - mmengine - INFO - Epoch(train) [4][ 560/4451] lr: 9.5195e-02 eta: 2:50:55 time: 0.3355 data_time: 0.0121 memory: 8510 grad_norm: 0.1400 loss: 0.0511 recall@thr=0.5: 0.3775 prec@thr=0.5: 0.4902 recall@top3: 0.6716 prec@top3: 0.4902 recall@top5: 0.8186 prec@top5: 0.3412 loss_action_cls: 0.0511 2022/12/03 10:38:06 - mmengine - INFO - Epoch(train) [4][ 580/4451] lr: 9.5157e-02 eta: 2:50:49 time: 0.3342 data_time: 0.0115 memory: 8510 grad_norm: 0.1460 loss: 0.0494 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.7500 recall@top3: 0.7870 prec@top3: 0.6481 recall@top5: 0.9630 prec@top5: 0.4889 loss_action_cls: 0.0494 2022/12/03 10:38:12 - mmengine - INFO - Epoch(train) [4][ 600/4451] lr: 9.5119e-02 eta: 2:50:42 time: 0.3329 data_time: 0.0119 memory: 8510 grad_norm: 0.1445 loss: 0.0521 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6720 recall@top3: 0.7267 prec@top3: 0.5867 recall@top5: 0.8600 prec@top5: 0.4320 loss_action_cls: 0.0521 2022/12/03 10:38:19 - mmengine - INFO - Epoch(train) [4][ 620/4451] lr: 9.5081e-02 eta: 2:50:35 time: 0.3333 data_time: 0.0127 memory: 8510 grad_norm: 0.1391 loss: 0.0512 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.6754 recall@top3: 0.8070 prec@top3: 0.4211 recall@top5: 0.8333 prec@top5: 0.2632 loss_action_cls: 0.0512 2022/12/03 10:38:26 - mmengine - INFO - Epoch(train) [4][ 640/4451] lr: 9.5042e-02 eta: 2:50:28 time: 0.3353 data_time: 0.0114 memory: 8510 grad_norm: 0.1351 loss: 0.0477 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.8258 recall@top3: 0.8788 prec@top3: 0.7424 recall@top5: 0.9848 prec@top5: 0.5182 loss_action_cls: 0.0477 2022/12/03 10:38:28 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:38:32 - mmengine - INFO - Epoch(train) [4][ 660/4451] lr: 9.5004e-02 eta: 2:50:22 time: 0.3342 data_time: 0.0123 memory: 8510 grad_norm: 0.1426 loss: 0.0495 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.5417 recall@top3: 0.7500 prec@top3: 0.5167 recall@top5: 0.8250 prec@top5: 0.3600 loss_action_cls: 0.0495 2022/12/03 10:38:39 - mmengine - INFO - Epoch(train) [4][ 680/4451] lr: 9.4966e-02 eta: 2:50:15 time: 0.3359 data_time: 0.0116 memory: 8510 grad_norm: 0.1414 loss: 0.0450 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7000 recall@top3: 0.8250 prec@top3: 0.7000 recall@top5: 0.9167 prec@top5: 0.4700 loss_action_cls: 0.0450 2022/12/03 10:38:46 - mmengine - INFO - Epoch(train) [4][ 700/4451] lr: 9.4927e-02 eta: 2:50:08 time: 0.3344 data_time: 0.0123 memory: 8510 grad_norm: 0.1451 loss: 0.0491 recall@thr=0.5: 0.5467 prec@thr=0.5: 0.6467 recall@top3: 0.7733 prec@top3: 0.5067 recall@top5: 0.8667 prec@top5: 0.3360 loss_action_cls: 0.0491 2022/12/03 10:38:52 - mmengine - INFO - Epoch(train) [4][ 720/4451] lr: 9.4888e-02 eta: 2:50:01 time: 0.3327 data_time: 0.0127 memory: 8510 grad_norm: 0.1429 loss: 0.0489 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.6875 recall@top3: 0.8750 prec@top3: 0.6875 recall@top5: 0.9583 prec@top5: 0.4625 loss_action_cls: 0.0489 2022/12/03 10:38:59 - mmengine - INFO - Epoch(train) [4][ 740/4451] lr: 9.4849e-02 eta: 2:49:55 time: 0.3336 data_time: 0.0136 memory: 8510 grad_norm: 0.1504 loss: 0.0559 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7222 recall@top3: 0.7083 prec@top3: 0.6852 recall@top5: 0.8009 prec@top5: 0.4667 loss_action_cls: 0.0559 2022/12/03 10:39:06 - mmengine - INFO - Epoch(train) [4][ 760/4451] lr: 9.4810e-02 eta: 2:49:48 time: 0.3337 data_time: 0.0146 memory: 8510 grad_norm: 0.1400 loss: 0.0460 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.5435 recall@top3: 0.8043 prec@top3: 0.5507 recall@top5: 0.9130 prec@top5: 0.4000 loss_action_cls: 0.0460 2022/12/03 10:39:12 - mmengine - INFO - Epoch(train) [4][ 780/4451] lr: 9.4771e-02 eta: 2:49:41 time: 0.3343 data_time: 0.0141 memory: 8510 grad_norm: 0.1503 loss: 0.0471 recall@thr=0.5: 0.2754 prec@thr=0.5: 0.4130 recall@top3: 0.6087 prec@top3: 0.3913 recall@top5: 0.8116 prec@top5: 0.3043 loss_action_cls: 0.0471 2022/12/03 10:39:19 - mmengine - INFO - Epoch(train) [4][ 800/4451] lr: 9.4732e-02 eta: 2:49:34 time: 0.3336 data_time: 0.0145 memory: 8510 grad_norm: 0.1413 loss: 0.0501 recall@thr=0.5: 0.7468 prec@thr=0.5: 0.7436 recall@top3: 0.8974 prec@top3: 0.6795 recall@top5: 0.9904 prec@top5: 0.4692 loss_action_cls: 0.0501 2022/12/03 10:39:26 - mmengine - INFO - Epoch(train) [4][ 820/4451] lr: 9.4692e-02 eta: 2:49:28 time: 0.3320 data_time: 0.0139 memory: 8510 grad_norm: 0.1474 loss: 0.0556 recall@thr=0.5: 0.3854 prec@thr=0.5: 0.5208 recall@top3: 0.5625 prec@top3: 0.4167 recall@top5: 0.6458 prec@top5: 0.3000 loss_action_cls: 0.0556 2022/12/03 10:39:32 - mmengine - INFO - Epoch(train) [4][ 840/4451] lr: 9.4652e-02 eta: 2:49:21 time: 0.3355 data_time: 0.0160 memory: 8510 grad_norm: 0.1362 loss: 0.0570 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6296 recall@top3: 0.7407 prec@top3: 0.5185 recall@top5: 0.9630 prec@top5: 0.4222 loss_action_cls: 0.0570 2022/12/03 10:39:39 - mmengine - INFO - Epoch(train) [4][ 860/4451] lr: 9.4613e-02 eta: 2:49:14 time: 0.3358 data_time: 0.0112 memory: 8510 grad_norm: 0.1448 loss: 0.0526 recall@thr=0.5: 0.4015 prec@thr=0.5: 0.4773 recall@top3: 0.5909 prec@top3: 0.4697 recall@top5: 0.7841 prec@top5: 0.3909 loss_action_cls: 0.0526 2022/12/03 10:39:46 - mmengine - INFO - Epoch(train) [4][ 880/4451] lr: 9.4573e-02 eta: 2:49:07 time: 0.3338 data_time: 0.0152 memory: 8510 grad_norm: 0.1375 loss: 0.0600 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4753 recall@top3: 0.7068 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.3926 loss_action_cls: 0.0600 2022/12/03 10:39:53 - mmengine - INFO - Epoch(train) [4][ 900/4451] lr: 9.4533e-02 eta: 2:49:01 time: 0.3353 data_time: 0.0144 memory: 8510 grad_norm: 0.1440 loss: 0.0505 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.8426 recall@top3: 0.8333 prec@top3: 0.6852 recall@top5: 0.8333 prec@top5: 0.4111 loss_action_cls: 0.0505 2022/12/03 10:39:59 - mmengine - INFO - Epoch(train) [4][ 920/4451] lr: 9.4493e-02 eta: 2:48:54 time: 0.3360 data_time: 0.0141 memory: 8510 grad_norm: 0.1434 loss: 0.0523 recall@thr=0.5: 0.7944 prec@thr=0.5: 0.8000 recall@top3: 0.8278 prec@top3: 0.6889 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0523 2022/12/03 10:40:06 - mmengine - INFO - Epoch(train) [4][ 940/4451] lr: 9.4452e-02 eta: 2:48:47 time: 0.3344 data_time: 0.0114 memory: 8510 grad_norm: 0.1514 loss: 0.0490 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.7917 recall@top3: 0.8611 prec@top3: 0.6111 recall@top5: 0.9097 prec@top5: 0.4000 loss_action_cls: 0.0490 2022/12/03 10:40:13 - mmengine - INFO - Epoch(train) [4][ 960/4451] lr: 9.4412e-02 eta: 2:48:41 time: 0.3342 data_time: 0.0160 memory: 8510 grad_norm: 0.1498 loss: 0.0467 recall@thr=0.5: 0.5559 prec@thr=0.5: 0.6373 recall@top3: 0.6794 prec@top3: 0.6078 recall@top5: 0.9275 prec@top5: 0.5294 loss_action_cls: 0.0467 2022/12/03 10:40:19 - mmengine - INFO - Epoch(train) [4][ 980/4451] lr: 9.4371e-02 eta: 2:48:34 time: 0.3344 data_time: 0.0108 memory: 8510 grad_norm: 0.1405 loss: 0.0484 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.7667 recall@top3: 0.7833 prec@top3: 0.5111 recall@top5: 0.9556 prec@top5: 0.4000 loss_action_cls: 0.0484 2022/12/03 10:40:26 - mmengine - INFO - Epoch(train) [4][1000/4451] lr: 9.4330e-02 eta: 2:48:27 time: 0.3329 data_time: 0.0117 memory: 8510 grad_norm: 0.1451 loss: 0.0511 recall@thr=0.5: 0.4638 prec@thr=0.5: 0.4638 recall@top3: 0.7210 prec@top3: 0.4493 recall@top5: 0.8913 prec@top5: 0.3391 loss_action_cls: 0.0511 2022/12/03 10:40:33 - mmengine - INFO - Epoch(train) [4][1020/4451] lr: 9.4290e-02 eta: 2:48:20 time: 0.3348 data_time: 0.0123 memory: 8510 grad_norm: 0.1393 loss: 0.0550 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.5833 recall@top3: 0.6417 prec@top3: 0.5333 recall@top5: 0.8550 prec@top5: 0.4700 loss_action_cls: 0.0550 2022/12/03 10:40:39 - mmengine - INFO - Epoch(train) [4][1040/4451] lr: 9.4248e-02 eta: 2:48:14 time: 0.3343 data_time: 0.0116 memory: 8510 grad_norm: 0.1413 loss: 0.0485 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.6364 recall@top3: 0.7727 prec@top3: 0.6364 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0485 2022/12/03 10:40:46 - mmengine - INFO - Epoch(train) [4][1060/4451] lr: 9.4207e-02 eta: 2:48:07 time: 0.3349 data_time: 0.0128 memory: 8510 grad_norm: 0.1416 loss: 0.0491 recall@thr=0.5: 0.4405 prec@thr=0.5: 0.7143 recall@top3: 0.6667 prec@top3: 0.4524 recall@top5: 0.8571 prec@top5: 0.3571 loss_action_cls: 0.0491 2022/12/03 10:40:53 - mmengine - INFO - Epoch(train) [4][1080/4451] lr: 9.4166e-02 eta: 2:48:00 time: 0.3329 data_time: 0.0133 memory: 8510 grad_norm: 0.1445 loss: 0.0505 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5490 recall@top3: 0.6912 prec@top3: 0.4706 recall@top5: 0.7990 prec@top5: 0.3412 loss_action_cls: 0.0505 2022/12/03 10:40:59 - mmengine - INFO - Epoch(train) [4][1100/4451] lr: 9.4125e-02 eta: 2:47:53 time: 0.3344 data_time: 0.0117 memory: 8510 grad_norm: 0.1379 loss: 0.0552 recall@thr=0.5: 0.3611 prec@thr=0.5: 0.5000 recall@top3: 0.6924 prec@top3: 0.5972 recall@top5: 0.8271 prec@top5: 0.4500 loss_action_cls: 0.0552 2022/12/03 10:41:06 - mmengine - INFO - Epoch(train) [4][1120/4451] lr: 9.4083e-02 eta: 2:47:47 time: 0.3354 data_time: 0.0111 memory: 8510 grad_norm: 0.1370 loss: 0.0453 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7667 recall@top3: 0.8958 prec@top3: 0.6500 recall@top5: 0.9583 prec@top5: 0.4300 loss_action_cls: 0.0453 2022/12/03 10:41:13 - mmengine - INFO - Epoch(train) [4][1140/4451] lr: 9.4041e-02 eta: 2:47:40 time: 0.3343 data_time: 0.0123 memory: 8510 grad_norm: 0.1422 loss: 0.0460 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6204 recall@top3: 0.7593 prec@top3: 0.5741 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0460 2022/12/03 10:41:19 - mmengine - INFO - Epoch(train) [4][1160/4451] lr: 9.4000e-02 eta: 2:47:33 time: 0.3315 data_time: 0.0139 memory: 8510 grad_norm: 0.1416 loss: 0.0569 recall@thr=0.5: 0.5200 prec@thr=0.5: 0.6267 recall@top3: 0.7067 prec@top3: 0.5467 recall@top5: 0.8933 prec@top5: 0.4160 loss_action_cls: 0.0569 2022/12/03 10:41:26 - mmengine - INFO - Epoch(train) [4][1180/4451] lr: 9.3958e-02 eta: 2:47:26 time: 0.3335 data_time: 0.0144 memory: 8510 grad_norm: 0.1437 loss: 0.0477 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6944 recall@top3: 0.8194 prec@top3: 0.5926 recall@top5: 0.9861 prec@top5: 0.4444 loss_action_cls: 0.0477 2022/12/03 10:41:33 - mmengine - INFO - Epoch(train) [4][1200/4451] lr: 9.3915e-02 eta: 2:47:20 time: 0.3370 data_time: 0.0135 memory: 8510 grad_norm: 0.1448 loss: 0.0519 recall@thr=0.5: 0.5432 prec@thr=0.5: 0.5926 recall@top3: 0.7438 prec@top3: 0.6420 recall@top5: 0.8704 prec@top5: 0.4667 loss_action_cls: 0.0519 2022/12/03 10:41:40 - mmengine - INFO - Epoch(train) [4][1220/4451] lr: 9.3873e-02 eta: 2:47:13 time: 0.3349 data_time: 0.0114 memory: 8510 grad_norm: 0.1349 loss: 0.0454 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6053 recall@top3: 0.8421 prec@top3: 0.5789 recall@top5: 0.9474 prec@top5: 0.3895 loss_action_cls: 0.0454 2022/12/03 10:41:46 - mmengine - INFO - Epoch(train) [4][1240/4451] lr: 9.3831e-02 eta: 2:47:06 time: 0.3340 data_time: 0.0135 memory: 8510 grad_norm: 0.1421 loss: 0.0512 recall@thr=0.5: 0.6147 prec@thr=0.5: 0.7647 recall@top3: 0.7029 prec@top3: 0.6471 recall@top5: 0.8735 prec@top5: 0.4706 loss_action_cls: 0.0512 2022/12/03 10:41:53 - mmengine - INFO - Epoch(train) [4][1260/4451] lr: 9.3788e-02 eta: 2:46:59 time: 0.3344 data_time: 0.0119 memory: 8510 grad_norm: 0.1417 loss: 0.0510 recall@thr=0.5: 0.2899 prec@thr=0.5: 0.3370 recall@top3: 0.6667 prec@top3: 0.4783 recall@top5: 0.8007 prec@top5: 0.3565 loss_action_cls: 0.0510 2022/12/03 10:42:00 - mmengine - INFO - Epoch(train) [4][1280/4451] lr: 9.3746e-02 eta: 2:46:53 time: 0.3352 data_time: 0.0117 memory: 8510 grad_norm: 0.1356 loss: 0.0493 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.7292 recall@top3: 0.9097 prec@top3: 0.5417 recall@top5: 0.9653 prec@top5: 0.3583 loss_action_cls: 0.0493 2022/12/03 10:42:06 - mmengine - INFO - Epoch(train) [4][1300/4451] lr: 9.3703e-02 eta: 2:46:46 time: 0.3356 data_time: 0.0107 memory: 8510 grad_norm: 0.1404 loss: 0.0541 recall@thr=0.5: 0.4398 prec@thr=0.5: 0.5556 recall@top3: 0.5833 prec@top3: 0.4259 recall@top5: 0.8519 prec@top5: 0.3556 loss_action_cls: 0.0541 2022/12/03 10:42:13 - mmengine - INFO - Epoch(train) [4][1320/4451] lr: 9.3660e-02 eta: 2:46:39 time: 0.3346 data_time: 0.0136 memory: 8510 grad_norm: 0.1460 loss: 0.0494 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.6933 recall@top3: 0.8000 prec@top3: 0.6400 recall@top5: 0.9533 prec@top5: 0.4720 loss_action_cls: 0.0494 2022/12/03 10:42:20 - mmengine - INFO - Epoch(train) [4][1340/4451] lr: 9.3617e-02 eta: 2:46:33 time: 0.3340 data_time: 0.0136 memory: 8510 grad_norm: 0.1473 loss: 0.0498 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.4844 recall@top3: 0.6250 prec@top3: 0.3333 recall@top5: 0.6250 prec@top5: 0.2000 loss_action_cls: 0.0498 2022/12/03 10:42:26 - mmengine - INFO - Epoch(train) [4][1360/4451] lr: 9.3574e-02 eta: 2:46:26 time: 0.3342 data_time: 0.0154 memory: 8510 grad_norm: 0.1344 loss: 0.0516 recall@thr=0.5: 0.5492 prec@thr=0.5: 0.6894 recall@top3: 0.6932 prec@top3: 0.5909 recall@top5: 0.8977 prec@top5: 0.4636 loss_action_cls: 0.0516 2022/12/03 10:42:33 - mmengine - INFO - Epoch(train) [4][1380/4451] lr: 9.3530e-02 eta: 2:46:19 time: 0.3345 data_time: 0.0111 memory: 8510 grad_norm: 0.1398 loss: 0.0526 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5333 recall@top3: 0.6583 prec@top3: 0.4833 recall@top5: 0.7917 prec@top5: 0.3600 loss_action_cls: 0.0526 2022/12/03 10:42:40 - mmengine - INFO - Epoch(train) [4][1400/4451] lr: 9.3487e-02 eta: 2:46:12 time: 0.3338 data_time: 0.0118 memory: 8510 grad_norm: 0.1484 loss: 0.0566 recall@thr=0.5: 0.3289 prec@thr=0.5: 0.4386 recall@top3: 0.6184 prec@top3: 0.5439 recall@top5: 0.7807 prec@top5: 0.4316 loss_action_cls: 0.0566 2022/12/03 10:42:47 - mmengine - INFO - Epoch(train) [4][1420/4451] lr: 9.3443e-02 eta: 2:46:06 time: 0.3352 data_time: 0.0114 memory: 8510 grad_norm: 0.1471 loss: 0.0494 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6267 recall@top3: 0.8267 prec@top3: 0.5867 recall@top5: 0.9467 prec@top5: 0.4240 loss_action_cls: 0.0494 2022/12/03 10:42:53 - mmengine - INFO - Epoch(train) [4][1440/4451] lr: 9.3399e-02 eta: 2:45:59 time: 0.3347 data_time: 0.0145 memory: 8510 grad_norm: 0.1343 loss: 0.0559 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7083 recall@top3: 0.8646 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0559 2022/12/03 10:43:00 - mmengine - INFO - Epoch(train) [4][1460/4451] lr: 9.3356e-02 eta: 2:45:52 time: 0.3327 data_time: 0.0141 memory: 8510 grad_norm: 0.1447 loss: 0.0467 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.9524 recall@top3: 0.8452 prec@top3: 0.7619 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0467 2022/12/03 10:43:07 - mmengine - INFO - Epoch(train) [4][1480/4451] lr: 9.3312e-02 eta: 2:45:45 time: 0.3362 data_time: 0.0115 memory: 8510 grad_norm: 0.1407 loss: 0.0550 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6000 recall@top3: 0.7333 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0550 2022/12/03 10:43:13 - mmengine - INFO - Epoch(train) [4][1500/4451] lr: 9.3267e-02 eta: 2:45:39 time: 0.3329 data_time: 0.0115 memory: 8510 grad_norm: 0.1341 loss: 0.0496 recall@thr=0.5: 0.5432 prec@thr=0.5: 0.6667 recall@top3: 0.7500 prec@top3: 0.4938 recall@top5: 0.8796 prec@top5: 0.3556 loss_action_cls: 0.0496 2022/12/03 10:43:20 - mmengine - INFO - Epoch(train) [4][1520/4451] lr: 9.3223e-02 eta: 2:45:32 time: 0.3345 data_time: 0.0130 memory: 8510 grad_norm: 0.1448 loss: 0.0542 recall@thr=0.5: 0.5123 prec@thr=0.5: 0.5816 recall@top3: 0.7281 prec@top3: 0.6140 recall@top5: 0.8737 prec@top5: 0.4632 loss_action_cls: 0.0542 2022/12/03 10:43:27 - mmengine - INFO - Epoch(train) [4][1540/4451] lr: 9.3179e-02 eta: 2:45:25 time: 0.3341 data_time: 0.0123 memory: 8510 grad_norm: 0.1413 loss: 0.0543 recall@thr=0.5: 0.4812 prec@thr=0.5: 0.5296 recall@top3: 0.6989 prec@top3: 0.5161 recall@top5: 0.9301 prec@top5: 0.4065 loss_action_cls: 0.0543 2022/12/03 10:43:33 - mmengine - INFO - Epoch(train) [4][1560/4451] lr: 9.3134e-02 eta: 2:45:18 time: 0.3332 data_time: 0.0135 memory: 8510 grad_norm: 0.1364 loss: 0.0574 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.6250 recall@top3: 0.7656 prec@top3: 0.6667 recall@top5: 0.8698 prec@top5: 0.4625 loss_action_cls: 0.0574 2022/12/03 10:43:40 - mmengine - INFO - Epoch(train) [4][1580/4451] lr: 9.3089e-02 eta: 2:45:12 time: 0.3347 data_time: 0.0122 memory: 8510 grad_norm: 0.1440 loss: 0.0516 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.6587 recall@top3: 0.8294 prec@top3: 0.5397 recall@top5: 0.8968 prec@top5: 0.3619 loss_action_cls: 0.0516 2022/12/03 10:43:47 - mmengine - INFO - Epoch(train) [4][1600/4451] lr: 9.3045e-02 eta: 2:45:05 time: 0.3343 data_time: 0.0111 memory: 8510 grad_norm: 0.1410 loss: 0.0484 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6667 recall@top3: 0.7059 prec@top3: 0.4510 recall@top5: 0.7941 prec@top5: 0.3176 loss_action_cls: 0.0484 2022/12/03 10:43:53 - mmengine - INFO - Epoch(train) [4][1620/4451] lr: 9.3000e-02 eta: 2:44:58 time: 0.3361 data_time: 0.0164 memory: 8510 grad_norm: 0.1410 loss: 0.0533 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0533 2022/12/03 10:44:00 - mmengine - INFO - Epoch(train) [4][1640/4451] lr: 9.2955e-02 eta: 2:44:52 time: 0.3346 data_time: 0.0133 memory: 8510 grad_norm: 0.1477 loss: 0.0472 recall@thr=0.5: 0.6962 prec@thr=0.5: 0.7634 recall@top3: 0.7581 prec@top3: 0.7849 recall@top5: 0.9140 prec@top5: 0.5742 loss_action_cls: 0.0472 2022/12/03 10:44:02 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:44:07 - mmengine - INFO - Epoch(train) [4][1660/4451] lr: 9.2909e-02 eta: 2:44:45 time: 0.3335 data_time: 0.0123 memory: 8510 grad_norm: 0.1451 loss: 0.0542 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.6250 recall@top3: 0.7917 prec@top3: 0.3690 recall@top5: 0.8274 prec@top5: 0.2286 loss_action_cls: 0.0542 2022/12/03 10:44:13 - mmengine - INFO - Epoch(train) [4][1680/4451] lr: 9.2864e-02 eta: 2:44:38 time: 0.3346 data_time: 0.0127 memory: 8510 grad_norm: 0.1378 loss: 0.0521 recall@thr=0.5: 0.7150 prec@thr=0.5: 0.7917 recall@top3: 0.7842 prec@top3: 0.6833 recall@top5: 0.9333 prec@top5: 0.5200 loss_action_cls: 0.0521 2022/12/03 10:44:20 - mmengine - INFO - Epoch(train) [4][1700/4451] lr: 9.2819e-02 eta: 2:44:31 time: 0.3348 data_time: 0.0126 memory: 8510 grad_norm: 0.1433 loss: 0.0440 recall@thr=0.5: 0.7760 prec@thr=0.5: 1.0000 recall@top3: 0.9271 prec@top3: 0.8542 recall@top5: 0.9688 prec@top5: 0.5375 loss_action_cls: 0.0440 2022/12/03 10:44:27 - mmengine - INFO - Epoch(train) [4][1720/4451] lr: 9.2773e-02 eta: 2:44:25 time: 0.3336 data_time: 0.0110 memory: 8510 grad_norm: 0.1429 loss: 0.0488 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6250 recall@top3: 0.9167 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0488 2022/12/03 10:44:33 - mmengine - INFO - Epoch(train) [4][1740/4451] lr: 9.2727e-02 eta: 2:44:18 time: 0.3345 data_time: 0.0141 memory: 8510 grad_norm: 0.1419 loss: 0.0523 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7444 recall@top3: 0.9000 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.3200 loss_action_cls: 0.0523 2022/12/03 10:44:40 - mmengine - INFO - Epoch(train) [4][1760/4451] lr: 9.2681e-02 eta: 2:44:11 time: 0.3352 data_time: 0.0141 memory: 8510 grad_norm: 0.1445 loss: 0.0504 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6667 recall@top3: 0.7619 prec@top3: 0.5000 recall@top5: 0.9286 prec@top5: 0.3571 loss_action_cls: 0.0504 2022/12/03 10:44:47 - mmengine - INFO - Epoch(train) [4][1780/4451] lr: 9.2635e-02 eta: 2:44:05 time: 0.3351 data_time: 0.0149 memory: 8510 grad_norm: 0.1424 loss: 0.0525 recall@thr=0.5: 0.4778 prec@thr=0.5: 0.4667 recall@top3: 0.7222 prec@top3: 0.4778 recall@top5: 0.8556 prec@top5: 0.3667 loss_action_cls: 0.0525 2022/12/03 10:44:54 - mmengine - INFO - Epoch(train) [4][1800/4451] lr: 9.2589e-02 eta: 2:43:58 time: 0.3350 data_time: 0.0113 memory: 8510 grad_norm: 0.1472 loss: 0.0539 recall@thr=0.5: 0.5293 prec@thr=0.5: 0.6467 recall@top3: 0.7013 prec@top3: 0.6267 recall@top5: 0.7640 prec@top5: 0.4240 loss_action_cls: 0.0539 2022/12/03 10:45:00 - mmengine - INFO - Epoch(train) [4][1820/4451] lr: 9.2543e-02 eta: 2:43:51 time: 0.3312 data_time: 0.0130 memory: 8510 grad_norm: 0.1402 loss: 0.0508 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.5098 recall@top3: 0.6667 prec@top3: 0.5294 recall@top5: 0.8039 prec@top5: 0.3882 loss_action_cls: 0.0508 2022/12/03 10:45:07 - mmengine - INFO - Epoch(train) [4][1840/4451] lr: 9.2496e-02 eta: 2:43:44 time: 0.3354 data_time: 0.0129 memory: 8510 grad_norm: 0.1436 loss: 0.0521 recall@thr=0.5: 0.6148 prec@thr=0.5: 0.6235 recall@top3: 0.7321 prec@top3: 0.6667 recall@top5: 0.8580 prec@top5: 0.4593 loss_action_cls: 0.0521 2022/12/03 10:45:14 - mmengine - INFO - Epoch(train) [4][1860/4451] lr: 9.2450e-02 eta: 2:43:38 time: 0.3338 data_time: 0.0133 memory: 8510 grad_norm: 0.1410 loss: 0.0529 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5490 recall@top3: 0.8627 prec@top3: 0.5294 recall@top5: 1.0000 prec@top5: 0.3882 loss_action_cls: 0.0529 2022/12/03 10:45:20 - mmengine - INFO - Epoch(train) [4][1880/4451] lr: 9.2403e-02 eta: 2:43:31 time: 0.3354 data_time: 0.0118 memory: 8510 grad_norm: 0.1462 loss: 0.0474 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.7717 recall@top3: 0.6957 prec@top3: 0.6087 recall@top5: 0.9094 prec@top5: 0.4957 loss_action_cls: 0.0474 2022/12/03 10:45:27 - mmengine - INFO - Epoch(train) [4][1900/4451] lr: 9.2356e-02 eta: 2:43:24 time: 0.3353 data_time: 0.0122 memory: 8510 grad_norm: 0.1548 loss: 0.0497 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.5722 recall@top3: 0.7333 prec@top3: 0.5778 recall@top5: 0.8778 prec@top5: 0.4133 loss_action_cls: 0.0497 2022/12/03 10:45:34 - mmengine - INFO - Epoch(train) [4][1920/4451] lr: 9.2309e-02 eta: 2:43:17 time: 0.3340 data_time: 0.0141 memory: 8510 grad_norm: 0.1562 loss: 0.0540 recall@thr=0.5: 0.4598 prec@thr=0.5: 0.6494 recall@top3: 0.7989 prec@top3: 0.7241 recall@top5: 0.9023 prec@top5: 0.4966 loss_action_cls: 0.0540 2022/12/03 10:45:40 - mmengine - INFO - Epoch(train) [4][1940/4451] lr: 9.2262e-02 eta: 2:43:11 time: 0.3332 data_time: 0.0145 memory: 8510 grad_norm: 0.1381 loss: 0.0507 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7500 recall@top3: 0.8208 prec@top3: 0.5500 recall@top5: 0.8833 prec@top5: 0.3500 loss_action_cls: 0.0507 2022/12/03 10:45:47 - mmengine - INFO - Epoch(train) [4][1960/4451] lr: 9.2215e-02 eta: 2:43:04 time: 0.3345 data_time: 0.0161 memory: 8510 grad_norm: 0.1388 loss: 0.0491 recall@thr=0.5: 0.6379 prec@thr=0.5: 0.6092 recall@top3: 0.8046 prec@top3: 0.4368 recall@top5: 0.9713 prec@top5: 0.3379 loss_action_cls: 0.0491 2022/12/03 10:45:54 - mmengine - INFO - Epoch(train) [4][1980/4451] lr: 9.2168e-02 eta: 2:42:57 time: 0.3374 data_time: 0.0134 memory: 8510 grad_norm: 0.1430 loss: 0.0489 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6548 recall@top3: 0.8095 prec@top3: 0.5714 recall@top5: 0.9048 prec@top5: 0.3857 loss_action_cls: 0.0489 2022/12/03 10:46:01 - mmengine - INFO - Epoch(train) [4][2000/4451] lr: 9.2120e-02 eta: 2:42:51 time: 0.3342 data_time: 0.0114 memory: 8510 grad_norm: 0.1416 loss: 0.0538 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8478 recall@top3: 0.8261 prec@top3: 0.6667 recall@top5: 0.9130 prec@top5: 0.4522 loss_action_cls: 0.0538 2022/12/03 10:46:07 - mmengine - INFO - Epoch(train) [4][2020/4451] lr: 9.2073e-02 eta: 2:42:44 time: 0.3369 data_time: 0.0111 memory: 8510 grad_norm: 0.1432 loss: 0.0466 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6944 recall@top3: 0.7917 prec@top3: 0.4722 recall@top5: 0.8750 prec@top5: 0.3000 loss_action_cls: 0.0466 2022/12/03 10:46:14 - mmengine - INFO - Epoch(train) [4][2040/4451] lr: 9.2025e-02 eta: 2:42:37 time: 0.3347 data_time: 0.0138 memory: 8510 grad_norm: 0.1389 loss: 0.0464 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8235 recall@top3: 0.9608 prec@top3: 0.5882 recall@top5: 0.9608 prec@top5: 0.3529 loss_action_cls: 0.0464 2022/12/03 10:46:21 - mmengine - INFO - Epoch(train) [4][2060/4451] lr: 9.1977e-02 eta: 2:42:30 time: 0.3343 data_time: 0.0114 memory: 8510 grad_norm: 0.1468 loss: 0.0448 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7667 recall@top3: 0.8917 prec@top3: 0.5833 recall@top5: 0.9667 prec@top5: 0.3700 loss_action_cls: 0.0448 2022/12/03 10:46:27 - mmengine - INFO - Epoch(train) [4][2080/4451] lr: 9.1929e-02 eta: 2:42:24 time: 0.3356 data_time: 0.0128 memory: 8510 grad_norm: 0.1375 loss: 0.0549 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.6491 recall@top3: 0.6491 prec@top3: 0.6491 recall@top5: 0.7807 prec@top5: 0.4737 loss_action_cls: 0.0549 2022/12/03 10:46:34 - mmengine - INFO - Epoch(train) [4][2100/4451] lr: 9.1881e-02 eta: 2:42:17 time: 0.3359 data_time: 0.0112 memory: 8510 grad_norm: 0.1433 loss: 0.0534 recall@thr=0.5: 0.6939 prec@thr=0.5: 0.6970 recall@top3: 0.8303 prec@top3: 0.6818 recall@top5: 0.9303 prec@top5: 0.4727 loss_action_cls: 0.0534 2022/12/03 10:46:41 - mmengine - INFO - Epoch(train) [4][2120/4451] lr: 9.1833e-02 eta: 2:42:10 time: 0.3344 data_time: 0.0143 memory: 8510 grad_norm: 0.1440 loss: 0.0566 recall@thr=0.5: 0.2728 prec@thr=0.5: 0.4035 recall@top3: 0.6061 prec@top3: 0.5263 recall@top5: 0.8798 prec@top5: 0.4316 loss_action_cls: 0.0566 2022/12/03 10:46:47 - mmengine - INFO - Epoch(train) [4][2140/4451] lr: 9.1784e-02 eta: 2:42:04 time: 0.3342 data_time: 0.0116 memory: 8510 grad_norm: 0.1416 loss: 0.0514 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.7014 recall@top3: 0.7375 prec@top3: 0.7361 recall@top5: 0.8542 prec@top5: 0.5333 loss_action_cls: 0.0514 2022/12/03 10:46:54 - mmengine - INFO - Epoch(train) [4][2160/4451] lr: 9.1736e-02 eta: 2:41:57 time: 0.3351 data_time: 0.0124 memory: 8510 grad_norm: 0.1372 loss: 0.0541 recall@thr=0.5: 0.4424 prec@thr=0.5: 0.4811 recall@top3: 0.6470 prec@top3: 0.5606 recall@top5: 0.9303 prec@top5: 0.5000 loss_action_cls: 0.0541 2022/12/03 10:47:01 - mmengine - INFO - Epoch(train) [4][2180/4451] lr: 9.1687e-02 eta: 2:41:50 time: 0.3348 data_time: 0.0137 memory: 8510 grad_norm: 0.1473 loss: 0.0508 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6548 recall@top3: 0.6845 prec@top3: 0.5714 recall@top5: 0.8631 prec@top5: 0.4357 loss_action_cls: 0.0508 2022/12/03 10:47:08 - mmengine - INFO - Epoch(train) [4][2200/4451] lr: 9.1638e-02 eta: 2:41:44 time: 0.3358 data_time: 0.0114 memory: 8510 grad_norm: 0.1378 loss: 0.0455 recall@thr=0.5: 0.2609 prec@thr=0.5: 0.3478 recall@top3: 0.4058 prec@top3: 0.2464 recall@top5: 0.6304 prec@top5: 0.2348 loss_action_cls: 0.0455 2022/12/03 10:47:14 - mmengine - INFO - Epoch(train) [4][2220/4451] lr: 9.1589e-02 eta: 2:41:37 time: 0.3340 data_time: 0.0132 memory: 8510 grad_norm: 0.1444 loss: 0.0477 recall@thr=0.5: 0.5367 prec@thr=0.5: 0.6333 recall@top3: 0.6767 prec@top3: 0.6133 recall@top5: 0.7767 prec@top5: 0.4320 loss_action_cls: 0.0477 2022/12/03 10:47:21 - mmengine - INFO - Epoch(train) [4][2240/4451] lr: 9.1540e-02 eta: 2:41:30 time: 0.3349 data_time: 0.0142 memory: 8510 grad_norm: 0.1424 loss: 0.0474 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.8056 recall@top3: 0.8375 prec@top3: 0.7083 recall@top5: 0.9208 prec@top5: 0.4750 loss_action_cls: 0.0474 2022/12/03 10:47:28 - mmengine - INFO - Epoch(train) [4][2260/4451] lr: 9.1491e-02 eta: 2:41:23 time: 0.3353 data_time: 0.0121 memory: 8510 grad_norm: 0.1486 loss: 0.0448 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.6333 recall@top3: 0.7750 prec@top3: 0.5167 recall@top5: 0.8500 prec@top5: 0.3600 loss_action_cls: 0.0448 2022/12/03 10:47:34 - mmengine - INFO - Epoch(train) [4][2280/4451] lr: 9.1442e-02 eta: 2:41:17 time: 0.3330 data_time: 0.0144 memory: 8510 grad_norm: 0.1377 loss: 0.0461 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7111 recall@top3: 0.8500 prec@top3: 0.5778 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0461 2022/12/03 10:47:41 - mmengine - INFO - Epoch(train) [4][2300/4451] lr: 9.1392e-02 eta: 2:41:10 time: 0.3331 data_time: 0.0117 memory: 8510 grad_norm: 0.1428 loss: 0.0523 recall@thr=0.5: 0.5237 prec@thr=0.5: 0.6754 recall@top3: 0.6965 prec@top3: 0.6842 recall@top5: 0.8395 prec@top5: 0.5158 loss_action_cls: 0.0523 2022/12/03 10:47:48 - mmengine - INFO - Epoch(train) [4][2320/4451] lr: 9.1343e-02 eta: 2:41:03 time: 0.3321 data_time: 0.0117 memory: 8510 grad_norm: 0.1434 loss: 0.0548 recall@thr=0.5: 0.5471 prec@thr=0.5: 0.7391 recall@top3: 0.7355 prec@top3: 0.5942 recall@top5: 0.8406 prec@top5: 0.4174 loss_action_cls: 0.0548 2022/12/03 10:47:54 - mmengine - INFO - Epoch(train) [4][2340/4451] lr: 9.1293e-02 eta: 2:40:56 time: 0.3333 data_time: 0.0127 memory: 8510 grad_norm: 0.1365 loss: 0.0505 recall@thr=0.5: 0.5176 prec@thr=0.5: 0.7843 recall@top3: 0.7725 prec@top3: 0.7255 recall@top5: 0.9569 prec@top5: 0.5529 loss_action_cls: 0.0505 2022/12/03 10:48:01 - mmengine - INFO - Epoch(train) [4][2360/4451] lr: 9.1243e-02 eta: 2:40:50 time: 0.3351 data_time: 0.0134 memory: 8510 grad_norm: 0.1437 loss: 0.0525 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8269 recall@top3: 0.7051 prec@top3: 0.6026 recall@top5: 0.9679 prec@top5: 0.4846 loss_action_cls: 0.0525 2022/12/03 10:48:08 - mmengine - INFO - Epoch(train) [4][2380/4451] lr: 9.1193e-02 eta: 2:40:43 time: 0.3331 data_time: 0.0140 memory: 8510 grad_norm: 0.1373 loss: 0.0493 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.8529 recall@top3: 0.8431 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0493 2022/12/03 10:48:14 - mmengine - INFO - Epoch(train) [4][2400/4451] lr: 9.1143e-02 eta: 2:40:36 time: 0.3367 data_time: 0.0117 memory: 8510 grad_norm: 0.1362 loss: 0.0451 recall@thr=0.5: 0.5210 prec@thr=0.5: 0.6407 recall@top3: 0.7420 prec@top3: 0.6543 recall@top5: 0.9358 prec@top5: 0.5185 loss_action_cls: 0.0451 2022/12/03 10:48:21 - mmengine - INFO - Epoch(train) [4][2420/4451] lr: 9.1093e-02 eta: 2:40:29 time: 0.3346 data_time: 0.0119 memory: 8510 grad_norm: 0.1438 loss: 0.0446 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7143 recall@top3: 0.7857 prec@top3: 0.4524 recall@top5: 0.9643 prec@top5: 0.3429 loss_action_cls: 0.0446 2022/12/03 10:48:28 - mmengine - INFO - Epoch(train) [4][2440/4451] lr: 9.1043e-02 eta: 2:40:23 time: 0.3354 data_time: 0.0137 memory: 8510 grad_norm: 0.1347 loss: 0.0475 recall@thr=0.5: 0.4130 prec@thr=0.5: 0.5797 recall@top3: 0.6304 prec@top3: 0.5507 recall@top5: 0.8551 prec@top5: 0.4522 loss_action_cls: 0.0475 2022/12/03 10:48:34 - mmengine - INFO - Epoch(train) [4][2460/4451] lr: 9.0992e-02 eta: 2:40:16 time: 0.3336 data_time: 0.0118 memory: 8510 grad_norm: 0.1448 loss: 0.0501 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.6944 recall@top3: 0.5972 prec@top3: 0.4630 recall@top5: 0.8472 prec@top5: 0.3889 loss_action_cls: 0.0501 2022/12/03 10:48:41 - mmengine - INFO - Epoch(train) [4][2480/4451] lr: 9.0942e-02 eta: 2:40:09 time: 0.3366 data_time: 0.0185 memory: 8510 grad_norm: 0.1503 loss: 0.0485 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.5278 recall@top3: 0.7037 prec@top3: 0.4259 recall@top5: 0.8889 prec@top5: 0.3333 loss_action_cls: 0.0485 2022/12/03 10:48:48 - mmengine - INFO - Epoch(train) [4][2500/4451] lr: 9.0891e-02 eta: 2:40:03 time: 0.3349 data_time: 0.0135 memory: 8510 grad_norm: 0.1412 loss: 0.0506 recall@thr=0.5: 0.9750 prec@thr=0.5: 0.8667 recall@top3: 0.9500 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0506 2022/12/03 10:48:55 - mmengine - INFO - Epoch(train) [4][2520/4451] lr: 9.0840e-02 eta: 2:39:56 time: 0.3331 data_time: 0.0133 memory: 8510 grad_norm: 0.1374 loss: 0.0469 recall@thr=0.5: 0.7717 prec@thr=0.5: 0.8841 recall@top3: 0.8370 prec@top3: 0.7101 recall@top5: 0.9312 prec@top5: 0.4870 loss_action_cls: 0.0469 2022/12/03 10:49:01 - mmengine - INFO - Epoch(train) [4][2540/4451] lr: 9.0789e-02 eta: 2:39:49 time: 0.3345 data_time: 0.0125 memory: 8510 grad_norm: 0.1459 loss: 0.0506 recall@thr=0.5: 0.6230 prec@thr=0.5: 0.8254 recall@top3: 0.7500 prec@top3: 0.7143 recall@top5: 0.8730 prec@top5: 0.4857 loss_action_cls: 0.0506 2022/12/03 10:49:08 - mmengine - INFO - Epoch(train) [4][2560/4451] lr: 9.0738e-02 eta: 2:39:42 time: 0.3340 data_time: 0.0118 memory: 8510 grad_norm: 0.1345 loss: 0.0480 recall@thr=0.5: 0.5067 prec@thr=0.5: 0.6444 recall@top3: 0.7467 prec@top3: 0.7333 recall@top5: 0.9000 prec@top5: 0.5467 loss_action_cls: 0.0480 2022/12/03 10:49:15 - mmengine - INFO - Epoch(train) [4][2580/4451] lr: 9.0687e-02 eta: 2:39:36 time: 0.3356 data_time: 0.0115 memory: 8510 grad_norm: 0.1356 loss: 0.0527 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.8235 recall@top3: 0.8137 prec@top3: 0.6863 recall@top5: 0.9373 prec@top5: 0.4941 loss_action_cls: 0.0527 2022/12/03 10:49:21 - mmengine - INFO - Epoch(train) [4][2600/4451] lr: 9.0636e-02 eta: 2:39:29 time: 0.3345 data_time: 0.0124 memory: 8510 grad_norm: 0.1390 loss: 0.0538 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.7255 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.4353 loss_action_cls: 0.0538 2022/12/03 10:49:28 - mmengine - INFO - Epoch(train) [4][2620/4451] lr: 9.0584e-02 eta: 2:39:22 time: 0.3321 data_time: 0.0121 memory: 8510 grad_norm: 0.1417 loss: 0.0471 recall@thr=0.5: 0.7702 prec@thr=0.5: 0.8772 recall@top3: 0.8825 prec@top3: 0.7544 recall@top5: 1.0000 prec@top5: 0.5368 loss_action_cls: 0.0471 2022/12/03 10:49:35 - mmengine - INFO - Epoch(train) [4][2640/4451] lr: 9.0533e-02 eta: 2:39:15 time: 0.3348 data_time: 0.0137 memory: 8510 grad_norm: 0.1418 loss: 0.0458 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.6667 recall@top3: 0.8421 prec@top3: 0.5088 recall@top5: 0.9649 prec@top5: 0.3684 loss_action_cls: 0.0458 2022/12/03 10:49:37 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:49:41 - mmengine - INFO - Epoch(train) [4][2660/4451] lr: 9.0481e-02 eta: 2:39:09 time: 0.3368 data_time: 0.0138 memory: 8510 grad_norm: 0.1462 loss: 0.0509 recall@thr=0.5: 0.3638 prec@thr=0.5: 0.5580 recall@top3: 0.5051 prec@top3: 0.4928 recall@top5: 0.6304 prec@top5: 0.3913 loss_action_cls: 0.0509 2022/12/03 10:49:48 - mmengine - INFO - Epoch(train) [4][2680/4451] lr: 9.0429e-02 eta: 2:39:02 time: 0.3340 data_time: 0.0130 memory: 8510 grad_norm: 0.1426 loss: 0.0479 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5758 recall@top3: 0.8030 prec@top3: 0.5303 recall@top5: 0.9167 prec@top5: 0.3727 loss_action_cls: 0.0479 2022/12/03 10:49:55 - mmengine - INFO - Epoch(train) [4][2700/4451] lr: 9.0377e-02 eta: 2:38:55 time: 0.3352 data_time: 0.0133 memory: 8510 grad_norm: 0.1358 loss: 0.0502 recall@thr=0.5: 0.5961 prec@thr=0.5: 0.7745 recall@top3: 0.7333 prec@top3: 0.6471 recall@top5: 0.8941 prec@top5: 0.4941 loss_action_cls: 0.0502 2022/12/03 10:50:01 - mmengine - INFO - Epoch(train) [4][2720/4451] lr: 9.0325e-02 eta: 2:38:49 time: 0.3327 data_time: 0.0119 memory: 8510 grad_norm: 0.1466 loss: 0.0543 recall@thr=0.5: 0.4267 prec@thr=0.5: 0.6633 recall@top3: 0.6433 prec@top3: 0.6267 recall@top5: 0.8307 prec@top5: 0.5200 loss_action_cls: 0.0543 2022/12/03 10:50:08 - mmengine - INFO - Epoch(train) [4][2740/4451] lr: 9.0273e-02 eta: 2:38:42 time: 0.3333 data_time: 0.0156 memory: 8510 grad_norm: 0.1464 loss: 0.0503 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.7381 recall@top3: 0.8452 prec@top3: 0.6508 recall@top5: 0.9365 prec@top5: 0.4381 loss_action_cls: 0.0503 2022/12/03 10:50:15 - mmengine - INFO - Epoch(train) [4][2760/4451] lr: 9.0220e-02 eta: 2:38:35 time: 0.3320 data_time: 0.0116 memory: 8510 grad_norm: 0.1446 loss: 0.0484 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.4902 recall@top3: 0.8039 prec@top3: 0.4314 recall@top5: 0.9412 prec@top5: 0.3059 loss_action_cls: 0.0484 2022/12/03 10:50:21 - mmengine - INFO - Epoch(train) [4][2780/4451] lr: 9.0168e-02 eta: 2:38:28 time: 0.3349 data_time: 0.0128 memory: 8510 grad_norm: 0.1455 loss: 0.0508 recall@thr=0.5: 0.7731 prec@thr=0.5: 0.8241 recall@top3: 0.8426 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0508 2022/12/03 10:50:28 - mmengine - INFO - Epoch(train) [4][2800/4451] lr: 9.0115e-02 eta: 2:38:22 time: 0.3340 data_time: 0.0121 memory: 8510 grad_norm: 0.1342 loss: 0.0520 recall@thr=0.5: 0.5781 prec@thr=0.5: 0.7240 recall@top3: 0.8047 prec@top3: 0.6979 recall@top5: 0.8385 prec@top5: 0.4375 loss_action_cls: 0.0520 2022/12/03 10:50:35 - mmengine - INFO - Epoch(train) [4][2820/4451] lr: 9.0063e-02 eta: 2:38:15 time: 0.3345 data_time: 0.0139 memory: 8510 grad_norm: 0.1395 loss: 0.0504 recall@thr=0.5: 0.6326 prec@thr=0.5: 0.6736 recall@top3: 0.7653 prec@top3: 0.6389 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0504 2022/12/03 10:50:42 - mmengine - INFO - Epoch(train) [4][2840/4451] lr: 9.0010e-02 eta: 2:38:08 time: 0.3351 data_time: 0.0135 memory: 8510 grad_norm: 0.1491 loss: 0.0477 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.4702 recall@top3: 0.7381 prec@top3: 0.4286 recall@top5: 0.8571 prec@top5: 0.3143 loss_action_cls: 0.0477 2022/12/03 10:50:48 - mmengine - INFO - Epoch(train) [4][2860/4451] lr: 8.9957e-02 eta: 2:38:01 time: 0.3344 data_time: 0.0132 memory: 8510 grad_norm: 0.1378 loss: 0.0526 recall@thr=0.5: 0.4611 prec@thr=0.5: 0.5056 recall@top3: 0.8333 prec@top3: 0.4667 recall@top5: 0.9167 prec@top5: 0.3200 loss_action_cls: 0.0526 2022/12/03 10:50:55 - mmengine - INFO - Epoch(train) [4][2880/4451] lr: 8.9904e-02 eta: 2:37:55 time: 0.3345 data_time: 0.0112 memory: 8510 grad_norm: 0.1407 loss: 0.0572 recall@thr=0.5: 0.2647 prec@thr=0.5: 0.3333 recall@top3: 0.6176 prec@top3: 0.3922 recall@top5: 0.9020 prec@top5: 0.3176 loss_action_cls: 0.0572 2022/12/03 10:51:02 - mmengine - INFO - Epoch(train) [4][2900/4451] lr: 8.9850e-02 eta: 2:37:48 time: 0.3337 data_time: 0.0124 memory: 8510 grad_norm: 0.1459 loss: 0.0540 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7222 recall@top3: 0.9111 prec@top3: 0.5556 recall@top5: 0.9667 prec@top5: 0.3600 loss_action_cls: 0.0540 2022/12/03 10:51:08 - mmengine - INFO - Epoch(train) [4][2920/4451] lr: 8.9797e-02 eta: 2:37:41 time: 0.3367 data_time: 0.0116 memory: 8510 grad_norm: 0.1382 loss: 0.0489 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7255 recall@top3: 0.8137 prec@top3: 0.5490 recall@top5: 0.9853 prec@top5: 0.3882 loss_action_cls: 0.0489 2022/12/03 10:51:15 - mmengine - INFO - Epoch(train) [4][2940/4451] lr: 8.9744e-02 eta: 2:37:35 time: 0.3360 data_time: 0.0125 memory: 8510 grad_norm: 0.1400 loss: 0.0520 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.6140 recall@top3: 0.6842 prec@top3: 0.5965 recall@top5: 0.8947 prec@top5: 0.4421 loss_action_cls: 0.0520 2022/12/03 10:51:22 - mmengine - INFO - Epoch(train) [4][2960/4451] lr: 8.9690e-02 eta: 2:37:28 time: 0.3341 data_time: 0.0127 memory: 8510 grad_norm: 0.1405 loss: 0.0480 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.6281 recall@top3: 0.5938 prec@top3: 0.5625 recall@top5: 0.7396 prec@top5: 0.4375 loss_action_cls: 0.0480 2022/12/03 10:51:28 - mmengine - INFO - Epoch(train) [4][2980/4451] lr: 8.9636e-02 eta: 2:37:21 time: 0.3341 data_time: 0.0123 memory: 8510 grad_norm: 0.1386 loss: 0.0446 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7222 recall@top3: 0.8651 prec@top3: 0.6667 recall@top5: 0.9127 prec@top5: 0.4286 loss_action_cls: 0.0446 2022/12/03 10:51:35 - mmengine - INFO - Epoch(train) [4][3000/4451] lr: 8.9582e-02 eta: 2:37:14 time: 0.3348 data_time: 0.0131 memory: 8510 grad_norm: 0.1451 loss: 0.0501 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.8056 recall@top3: 0.7593 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.4333 loss_action_cls: 0.0501 2022/12/03 10:51:42 - mmengine - INFO - Epoch(train) [4][3020/4451] lr: 8.9529e-02 eta: 2:37:08 time: 0.3365 data_time: 0.0114 memory: 8510 grad_norm: 0.1448 loss: 0.0511 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8413 recall@top3: 0.9365 prec@top3: 0.6667 recall@top5: 0.9841 prec@top5: 0.4286 loss_action_cls: 0.0511 2022/12/03 10:51:49 - mmengine - INFO - Epoch(train) [4][3040/4451] lr: 8.9474e-02 eta: 2:37:01 time: 0.3352 data_time: 0.0119 memory: 8510 grad_norm: 0.1411 loss: 0.0508 recall@thr=0.5: 0.2981 prec@thr=0.5: 0.4744 recall@top3: 0.5609 prec@top3: 0.5000 recall@top5: 0.7468 prec@top5: 0.4154 loss_action_cls: 0.0508 2022/12/03 10:51:55 - mmengine - INFO - Epoch(train) [4][3060/4451] lr: 8.9420e-02 eta: 2:36:54 time: 0.3336 data_time: 0.0111 memory: 8510 grad_norm: 0.1378 loss: 0.0474 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.5686 recall@top3: 0.8235 prec@top3: 0.6078 recall@top5: 0.8235 prec@top5: 0.3647 loss_action_cls: 0.0474 2022/12/03 10:52:02 - mmengine - INFO - Epoch(train) [4][3080/4451] lr: 8.9366e-02 eta: 2:36:48 time: 0.3371 data_time: 0.0120 memory: 8510 grad_norm: 0.1369 loss: 0.0539 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8824 recall@top3: 0.9216 prec@top3: 0.6275 recall@top5: 0.9706 prec@top5: 0.4000 loss_action_cls: 0.0539 2022/12/03 10:52:09 - mmengine - INFO - Epoch(train) [4][3100/4451] lr: 8.9311e-02 eta: 2:36:41 time: 0.3366 data_time: 0.0161 memory: 8510 grad_norm: 0.1478 loss: 0.0518 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7870 recall@top3: 0.8380 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0518 2022/12/03 10:52:15 - mmengine - INFO - Epoch(train) [4][3120/4451] lr: 8.9257e-02 eta: 2:36:34 time: 0.3335 data_time: 0.0119 memory: 8510 grad_norm: 0.1382 loss: 0.0511 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.6667 recall@top3: 0.5868 prec@top3: 0.5000 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0511 2022/12/03 10:52:22 - mmengine - INFO - Epoch(train) [4][3140/4451] lr: 8.9202e-02 eta: 2:36:28 time: 0.3345 data_time: 0.0111 memory: 8510 grad_norm: 0.1396 loss: 0.0542 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.5614 recall@top3: 0.8026 prec@top3: 0.5439 recall@top5: 0.9737 prec@top5: 0.3895 loss_action_cls: 0.0542 2022/12/03 10:52:29 - mmengine - INFO - Epoch(train) [4][3160/4451] lr: 8.9147e-02 eta: 2:36:21 time: 0.3377 data_time: 0.0163 memory: 8510 grad_norm: 0.1434 loss: 0.0538 recall@thr=0.5: 0.5254 prec@thr=0.5: 0.6478 recall@top3: 0.7130 prec@top3: 0.6087 recall@top5: 0.8616 prec@top5: 0.4435 loss_action_cls: 0.0538 2022/12/03 10:52:35 - mmengine - INFO - Epoch(train) [4][3180/4451] lr: 8.9092e-02 eta: 2:36:14 time: 0.3326 data_time: 0.0133 memory: 8510 grad_norm: 0.1530 loss: 0.0488 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7969 recall@top3: 0.7708 prec@top3: 0.6042 recall@top5: 0.8906 prec@top5: 0.4375 loss_action_cls: 0.0488 2022/12/03 10:52:42 - mmengine - INFO - Epoch(train) [4][3200/4451] lr: 8.9037e-02 eta: 2:36:07 time: 0.3322 data_time: 0.0123 memory: 8510 grad_norm: 0.1405 loss: 0.0530 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.5900 recall@top3: 0.6867 prec@top3: 0.5600 recall@top5: 0.8033 prec@top5: 0.4080 loss_action_cls: 0.0530 2022/12/03 10:52:49 - mmengine - INFO - Epoch(train) [4][3220/4451] lr: 8.8982e-02 eta: 2:36:01 time: 0.3351 data_time: 0.0120 memory: 8510 grad_norm: 0.1405 loss: 0.0513 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.9048 recall@top3: 0.8492 prec@top3: 0.7460 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0513 2022/12/03 10:52:55 - mmengine - INFO - Epoch(train) [4][3240/4451] lr: 8.8927e-02 eta: 2:35:54 time: 0.3343 data_time: 0.0138 memory: 8510 grad_norm: 0.1455 loss: 0.0522 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7042 recall@top3: 0.8500 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0522 2022/12/03 10:53:02 - mmengine - INFO - Epoch(train) [4][3260/4451] lr: 8.8871e-02 eta: 2:35:47 time: 0.3348 data_time: 0.0133 memory: 8510 grad_norm: 0.1437 loss: 0.0514 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.7255 recall@top3: 0.6863 prec@top3: 0.6667 recall@top5: 0.8088 prec@top5: 0.4941 loss_action_cls: 0.0514 2022/12/03 10:53:09 - mmengine - INFO - Epoch(train) [4][3280/4451] lr: 8.8816e-02 eta: 2:35:40 time: 0.3341 data_time: 0.0116 memory: 8510 grad_norm: 0.1357 loss: 0.0480 recall@thr=0.5: 0.8212 prec@thr=0.5: 0.6995 recall@top3: 0.8566 prec@top3: 0.5657 recall@top5: 0.9535 prec@top5: 0.3939 loss_action_cls: 0.0480 2022/12/03 10:53:16 - mmengine - INFO - Epoch(train) [4][3300/4451] lr: 8.8760e-02 eta: 2:35:34 time: 0.3350 data_time: 0.0110 memory: 8510 grad_norm: 0.1367 loss: 0.0468 recall@thr=0.5: 0.5679 prec@thr=0.5: 0.7716 recall@top3: 0.7284 prec@top3: 0.5802 recall@top5: 0.8488 prec@top5: 0.4148 loss_action_cls: 0.0468 2022/12/03 10:53:22 - mmengine - INFO - Epoch(train) [4][3320/4451] lr: 8.8704e-02 eta: 2:35:27 time: 0.3345 data_time: 0.0115 memory: 8510 grad_norm: 0.1397 loss: 0.0456 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.6957 recall@top3: 0.9348 prec@top3: 0.6522 recall@top5: 0.9348 prec@top5: 0.3913 loss_action_cls: 0.0456 2022/12/03 10:53:29 - mmengine - INFO - Epoch(train) [4][3340/4451] lr: 8.8648e-02 eta: 2:35:20 time: 0.3336 data_time: 0.0112 memory: 8510 grad_norm: 0.1469 loss: 0.0453 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6975 recall@top3: 0.6605 prec@top3: 0.5556 recall@top5: 0.8765 prec@top5: 0.4593 loss_action_cls: 0.0453 2022/12/03 10:53:36 - mmengine - INFO - Epoch(train) [4][3360/4451] lr: 8.8592e-02 eta: 2:35:14 time: 0.3340 data_time: 0.0121 memory: 8510 grad_norm: 0.1453 loss: 0.0501 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.5833 recall@top3: 0.6875 prec@top3: 0.4583 recall@top5: 0.9097 prec@top5: 0.3833 loss_action_cls: 0.0501 2022/12/03 10:53:42 - mmengine - INFO - Epoch(train) [4][3380/4451] lr: 8.8536e-02 eta: 2:35:07 time: 0.3343 data_time: 0.0127 memory: 8510 grad_norm: 0.1373 loss: 0.0497 recall@thr=0.5: 0.4432 prec@thr=0.5: 0.5078 recall@top3: 0.7010 prec@top3: 0.5104 recall@top5: 0.8411 prec@top5: 0.3875 loss_action_cls: 0.0497 2022/12/03 10:53:49 - mmengine - INFO - Epoch(train) [4][3400/4451] lr: 8.8480e-02 eta: 2:35:00 time: 0.3350 data_time: 0.0126 memory: 8510 grad_norm: 0.1485 loss: 0.0476 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6667 recall@top3: 0.7745 prec@top3: 0.4902 recall@top5: 0.9020 prec@top5: 0.3529 loss_action_cls: 0.0476 2022/12/03 10:53:56 - mmengine - INFO - Epoch(train) [4][3420/4451] lr: 8.8424e-02 eta: 2:34:53 time: 0.3339 data_time: 0.0123 memory: 8510 grad_norm: 0.1371 loss: 0.0499 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7843 recall@top3: 0.8137 prec@top3: 0.4706 recall@top5: 0.9412 prec@top5: 0.3412 loss_action_cls: 0.0499 2022/12/03 10:54:02 - mmengine - INFO - Epoch(train) [4][3440/4451] lr: 8.8367e-02 eta: 2:34:47 time: 0.3337 data_time: 0.0130 memory: 8510 grad_norm: 0.1452 loss: 0.0512 recall@thr=0.5: 0.5341 prec@thr=0.5: 0.7348 recall@top3: 0.7462 prec@top3: 0.6515 recall@top5: 0.8788 prec@top5: 0.4636 loss_action_cls: 0.0512 2022/12/03 10:54:09 - mmengine - INFO - Epoch(train) [4][3460/4451] lr: 8.8310e-02 eta: 2:34:40 time: 0.3352 data_time: 0.0129 memory: 8510 grad_norm: 0.1420 loss: 0.0471 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7917 recall@top3: 0.8125 prec@top3: 0.7292 recall@top5: 0.9583 prec@top5: 0.5250 loss_action_cls: 0.0471 2022/12/03 10:54:16 - mmengine - INFO - Epoch(train) [4][3480/4451] lr: 8.8254e-02 eta: 2:34:33 time: 0.3366 data_time: 0.0134 memory: 8510 grad_norm: 0.1390 loss: 0.0508 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6140 recall@top3: 0.6579 prec@top3: 0.3684 recall@top5: 0.7105 prec@top5: 0.2421 loss_action_cls: 0.0508 2022/12/03 10:54:22 - mmengine - INFO - Epoch(train) [4][3500/4451] lr: 8.8197e-02 eta: 2:34:27 time: 0.3356 data_time: 0.0135 memory: 8510 grad_norm: 0.1441 loss: 0.0452 recall@thr=0.5: 0.6789 prec@thr=0.5: 0.7807 recall@top3: 0.8123 prec@top3: 0.6491 recall@top5: 0.9649 prec@top5: 0.4737 loss_action_cls: 0.0452 2022/12/03 10:54:29 - mmengine - INFO - Epoch(train) [4][3520/4451] lr: 8.8140e-02 eta: 2:34:20 time: 0.3339 data_time: 0.0155 memory: 8510 grad_norm: 0.1407 loss: 0.0505 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.5714 recall@top3: 0.5982 prec@top3: 0.4048 recall@top5: 0.8274 prec@top5: 0.3214 loss_action_cls: 0.0505 2022/12/03 10:54:36 - mmengine - INFO - Epoch(train) [4][3540/4451] lr: 8.8083e-02 eta: 2:34:13 time: 0.3338 data_time: 0.0131 memory: 8510 grad_norm: 0.1383 loss: 0.0537 recall@thr=0.5: 0.4657 prec@thr=0.5: 0.5735 recall@top3: 0.6324 prec@top3: 0.6078 recall@top5: 0.7941 prec@top5: 0.4471 loss_action_cls: 0.0537 2022/12/03 10:54:42 - mmengine - INFO - Epoch(train) [4][3560/4451] lr: 8.8025e-02 eta: 2:34:06 time: 0.3323 data_time: 0.0143 memory: 8510 grad_norm: 0.1413 loss: 0.0483 recall@thr=0.5: 0.5400 prec@thr=0.5: 0.5333 recall@top3: 0.6600 prec@top3: 0.5067 recall@top5: 0.9667 prec@top5: 0.4080 loss_action_cls: 0.0483 2022/12/03 10:54:49 - mmengine - INFO - Epoch(train) [4][3580/4451] lr: 8.7968e-02 eta: 2:34:00 time: 0.3354 data_time: 0.0128 memory: 8510 grad_norm: 0.1335 loss: 0.0493 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5667 recall@top3: 0.8778 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0493 2022/12/03 10:54:56 - mmengine - INFO - Epoch(train) [4][3600/4451] lr: 8.7911e-02 eta: 2:33:53 time: 0.3371 data_time: 0.0134 memory: 8510 grad_norm: 0.1443 loss: 0.0436 recall@thr=0.5: 0.6819 prec@thr=0.5: 0.7843 recall@top3: 0.7804 prec@top3: 0.7157 recall@top5: 0.8951 prec@top5: 0.4941 loss_action_cls: 0.0436 2022/12/03 10:55:03 - mmengine - INFO - Epoch(train) [4][3620/4451] lr: 8.7853e-02 eta: 2:33:46 time: 0.3351 data_time: 0.0121 memory: 8510 grad_norm: 0.1419 loss: 0.0490 recall@thr=0.5: 0.5056 prec@thr=0.5: 0.5944 recall@top3: 0.6806 prec@top3: 0.6000 recall@top5: 0.8500 prec@top5: 0.4600 loss_action_cls: 0.0490 2022/12/03 10:55:09 - mmengine - INFO - Epoch(train) [4][3640/4451] lr: 8.7795e-02 eta: 2:33:40 time: 0.3340 data_time: 0.0120 memory: 8510 grad_norm: 0.1489 loss: 0.0491 recall@thr=0.5: 0.5516 prec@thr=0.5: 0.6349 recall@top3: 0.5992 prec@top3: 0.5079 recall@top5: 0.8214 prec@top5: 0.3810 loss_action_cls: 0.0491 2022/12/03 10:55:12 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:55:16 - mmengine - INFO - Epoch(train) [4][3660/4451] lr: 8.7738e-02 eta: 2:33:33 time: 0.3351 data_time: 0.0120 memory: 8510 grad_norm: 0.1551 loss: 0.0481 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8750 recall@top3: 0.9583 prec@top3: 0.7292 recall@top5: 0.9792 prec@top5: 0.4500 loss_action_cls: 0.0481 2022/12/03 10:55:23 - mmengine - INFO - Epoch(train) [4][3680/4451] lr: 8.7680e-02 eta: 2:33:26 time: 0.3371 data_time: 0.0129 memory: 8510 grad_norm: 0.1397 loss: 0.0517 recall@thr=0.5: 0.6173 prec@thr=0.5: 0.7037 recall@top3: 0.7593 prec@top3: 0.6296 recall@top5: 0.9136 prec@top5: 0.4667 loss_action_cls: 0.0517 2022/12/03 10:55:29 - mmengine - INFO - Epoch(train) [4][3700/4451] lr: 8.7622e-02 eta: 2:33:19 time: 0.3325 data_time: 0.0134 memory: 8510 grad_norm: 0.1458 loss: 0.0536 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7667 recall@top3: 0.7125 prec@top3: 0.6833 recall@top5: 0.8042 prec@top5: 0.4700 loss_action_cls: 0.0536 2022/12/03 10:55:36 - mmengine - INFO - Epoch(train) [4][3720/4451] lr: 8.7563e-02 eta: 2:33:13 time: 0.3346 data_time: 0.0120 memory: 8510 grad_norm: 0.1444 loss: 0.0497 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.5714 recall@top3: 0.7738 prec@top3: 0.5476 recall@top5: 0.9524 prec@top5: 0.4143 loss_action_cls: 0.0497 2022/12/03 10:55:43 - mmengine - INFO - Epoch(train) [4][3740/4451] lr: 8.7505e-02 eta: 2:33:06 time: 0.3355 data_time: 0.0178 memory: 8510 grad_norm: 0.1381 loss: 0.0461 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6019 recall@top3: 0.5093 prec@top3: 0.4074 recall@top5: 0.7361 prec@top5: 0.3444 loss_action_cls: 0.0461 2022/12/03 10:55:49 - mmengine - INFO - Epoch(train) [4][3760/4451] lr: 8.7447e-02 eta: 2:32:59 time: 0.3341 data_time: 0.0121 memory: 8510 grad_norm: 0.1426 loss: 0.0500 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.9015 recall@top3: 0.7803 prec@top3: 0.7273 recall@top5: 0.9318 prec@top5: 0.5182 loss_action_cls: 0.0500 2022/12/03 10:55:56 - mmengine - INFO - Epoch(train) [4][3780/4451] lr: 8.7388e-02 eta: 2:32:53 time: 0.3346 data_time: 0.0127 memory: 8510 grad_norm: 0.1448 loss: 0.0465 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.6136 recall@top3: 0.8636 prec@top3: 0.5000 recall@top5: 0.8939 prec@top5: 0.3182 loss_action_cls: 0.0465 2022/12/03 10:56:03 - mmengine - INFO - Epoch(train) [4][3800/4451] lr: 8.7330e-02 eta: 2:32:46 time: 0.3355 data_time: 0.0111 memory: 8510 grad_norm: 0.1478 loss: 0.0449 recall@thr=0.5: 0.6974 prec@thr=0.5: 0.6798 recall@top3: 0.8465 prec@top3: 0.5263 recall@top5: 0.9474 prec@top5: 0.3684 loss_action_cls: 0.0449 2022/12/03 10:56:10 - mmengine - INFO - Epoch(train) [4][3820/4451] lr: 8.7271e-02 eta: 2:32:39 time: 0.3347 data_time: 0.0127 memory: 8510 grad_norm: 0.1399 loss: 0.0509 recall@thr=0.5: 0.4312 prec@thr=0.5: 0.6087 recall@top3: 0.6558 prec@top3: 0.5652 recall@top5: 0.8949 prec@top5: 0.4696 loss_action_cls: 0.0509 2022/12/03 10:56:16 - mmengine - INFO - Epoch(train) [4][3840/4451] lr: 8.7212e-02 eta: 2:32:32 time: 0.3343 data_time: 0.0118 memory: 8510 grad_norm: 0.1409 loss: 0.0475 recall@thr=0.5: 0.4800 prec@thr=0.5: 0.5583 recall@top3: 0.7250 prec@top3: 0.6500 recall@top5: 0.8942 prec@top5: 0.4900 loss_action_cls: 0.0475 2022/12/03 10:56:23 - mmengine - INFO - Epoch(train) [4][3860/4451] lr: 8.7153e-02 eta: 2:32:26 time: 0.3336 data_time: 0.0145 memory: 8510 grad_norm: 0.1421 loss: 0.0504 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.5606 recall@top3: 0.6932 prec@top3: 0.4697 recall@top5: 0.8788 prec@top5: 0.3636 loss_action_cls: 0.0504 2022/12/03 10:56:30 - mmengine - INFO - Epoch(train) [4][3880/4451] lr: 8.7094e-02 eta: 2:32:19 time: 0.3356 data_time: 0.0129 memory: 8510 grad_norm: 0.1380 loss: 0.0500 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.4804 recall@top3: 0.6961 prec@top3: 0.5294 recall@top5: 0.8922 prec@top5: 0.4000 loss_action_cls: 0.0500 2022/12/03 10:56:36 - mmengine - INFO - Epoch(train) [4][3900/4451] lr: 8.7035e-02 eta: 2:32:12 time: 0.3327 data_time: 0.0123 memory: 8510 grad_norm: 0.1376 loss: 0.0531 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.5877 recall@top3: 0.8421 prec@top3: 0.6667 recall@top5: 0.9298 prec@top5: 0.4526 loss_action_cls: 0.0531 2022/12/03 10:56:43 - mmengine - INFO - Epoch(train) [4][3920/4451] lr: 8.6975e-02 eta: 2:32:06 time: 0.3376 data_time: 0.0110 memory: 8510 grad_norm: 0.1375 loss: 0.0522 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7877 recall@top3: 0.7018 prec@top3: 0.6667 recall@top5: 0.9693 prec@top5: 0.5579 loss_action_cls: 0.0522 2022/12/03 10:56:50 - mmengine - INFO - Epoch(train) [4][3940/4451] lr: 8.6916e-02 eta: 2:31:59 time: 0.3346 data_time: 0.0131 memory: 8510 grad_norm: 0.1396 loss: 0.0460 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6889 recall@top3: 0.7143 prec@top3: 0.5873 recall@top5: 0.8413 prec@top5: 0.4286 loss_action_cls: 0.0460 2022/12/03 10:56:56 - mmengine - INFO - Epoch(train) [4][3960/4451] lr: 8.6856e-02 eta: 2:31:52 time: 0.3344 data_time: 0.0113 memory: 8510 grad_norm: 0.1390 loss: 0.0442 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7315 recall@top3: 0.8333 prec@top3: 0.5000 recall@top5: 0.8704 prec@top5: 0.3222 loss_action_cls: 0.0442 2022/12/03 10:57:03 - mmengine - INFO - Epoch(train) [4][3980/4451] lr: 8.6797e-02 eta: 2:31:45 time: 0.3341 data_time: 0.0116 memory: 8510 grad_norm: 0.1452 loss: 0.0521 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.7255 recall@top3: 0.7843 prec@top3: 0.5882 recall@top5: 0.9216 prec@top5: 0.4118 loss_action_cls: 0.0521 2022/12/03 10:57:10 - mmengine - INFO - Epoch(train) [4][4000/4451] lr: 8.6737e-02 eta: 2:31:39 time: 0.3360 data_time: 0.0114 memory: 8510 grad_norm: 0.1449 loss: 0.0465 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.7153 recall@top3: 0.8438 prec@top3: 0.6944 recall@top5: 0.9271 prec@top5: 0.4583 loss_action_cls: 0.0465 2022/12/03 10:57:17 - mmengine - INFO - Epoch(train) [4][4020/4451] lr: 8.6677e-02 eta: 2:31:32 time: 0.3337 data_time: 0.0124 memory: 8510 grad_norm: 0.1446 loss: 0.0438 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.8509 recall@top3: 0.8947 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4632 loss_action_cls: 0.0438 2022/12/03 10:57:23 - mmengine - INFO - Epoch(train) [4][4040/4451] lr: 8.6617e-02 eta: 2:31:25 time: 0.3363 data_time: 0.0120 memory: 8510 grad_norm: 0.1452 loss: 0.0434 recall@thr=0.5: 0.3800 prec@thr=0.5: 0.3667 recall@top3: 0.6150 prec@top3: 0.4333 recall@top5: 0.7000 prec@top5: 0.3000 loss_action_cls: 0.0434 2022/12/03 10:57:30 - mmengine - INFO - Epoch(train) [4][4060/4451] lr: 8.6557e-02 eta: 2:31:19 time: 0.3337 data_time: 0.0130 memory: 8510 grad_norm: 0.1449 loss: 0.0475 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.8611 recall@top3: 0.7963 prec@top3: 0.7778 recall@top5: 0.9167 prec@top5: 0.5556 loss_action_cls: 0.0475 2022/12/03 10:57:37 - mmengine - INFO - Epoch(train) [4][4080/4451] lr: 8.6496e-02 eta: 2:31:12 time: 0.3344 data_time: 0.0116 memory: 8510 grad_norm: 0.1425 loss: 0.0482 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.8684 recall@top3: 0.9474 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0482 2022/12/03 10:57:43 - mmengine - INFO - Epoch(train) [4][4100/4451] lr: 8.6436e-02 eta: 2:31:05 time: 0.3362 data_time: 0.0137 memory: 8510 grad_norm: 0.1455 loss: 0.0529 recall@thr=0.5: 0.3542 prec@thr=0.5: 0.4167 recall@top3: 0.6292 prec@top3: 0.4667 recall@top5: 0.8792 prec@top5: 0.3800 loss_action_cls: 0.0529 2022/12/03 10:57:50 - mmengine - INFO - Epoch(train) [4][4120/4451] lr: 8.6376e-02 eta: 2:30:59 time: 0.3340 data_time: 0.0138 memory: 8510 grad_norm: 0.1354 loss: 0.0491 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7451 recall@top3: 0.7451 prec@top3: 0.6275 recall@top5: 0.8824 prec@top5: 0.4588 loss_action_cls: 0.0491 2022/12/03 10:57:57 - mmengine - INFO - Epoch(train) [4][4140/4451] lr: 8.6315e-02 eta: 2:30:52 time: 0.3332 data_time: 0.0122 memory: 8510 grad_norm: 0.1512 loss: 0.0500 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7870 recall@top3: 0.8333 prec@top3: 0.7037 recall@top5: 0.9861 prec@top5: 0.4889 loss_action_cls: 0.0500 2022/12/03 10:58:03 - mmengine - INFO - Epoch(train) [4][4160/4451] lr: 8.6254e-02 eta: 2:30:45 time: 0.3342 data_time: 0.0126 memory: 8510 grad_norm: 0.1434 loss: 0.0463 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6812 recall@top3: 0.7464 prec@top3: 0.6232 recall@top5: 0.9420 prec@top5: 0.4957 loss_action_cls: 0.0463 2022/12/03 10:58:10 - mmengine - INFO - Epoch(train) [4][4180/4451] lr: 8.6194e-02 eta: 2:30:38 time: 0.3329 data_time: 0.0114 memory: 8510 grad_norm: 0.1422 loss: 0.0503 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.7176 recall@top3: 0.7407 prec@top3: 0.5370 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0503 2022/12/03 10:58:17 - mmengine - INFO - Epoch(train) [4][4200/4451] lr: 8.6133e-02 eta: 2:30:32 time: 0.3349 data_time: 0.0113 memory: 8510 grad_norm: 0.1399 loss: 0.0497 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5052 recall@top3: 0.7760 prec@top3: 0.6667 recall@top5: 0.8281 prec@top5: 0.4375 loss_action_cls: 0.0497 2022/12/03 10:58:23 - mmengine - INFO - Epoch(train) [4][4220/4451] lr: 8.6072e-02 eta: 2:30:25 time: 0.3348 data_time: 0.0138 memory: 8510 grad_norm: 0.1433 loss: 0.0510 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.6618 recall@top3: 0.7745 prec@top3: 0.6078 recall@top5: 0.9510 prec@top5: 0.4471 loss_action_cls: 0.0510 2022/12/03 10:58:30 - mmengine - INFO - Epoch(train) [4][4240/4451] lr: 8.6010e-02 eta: 2:30:18 time: 0.3364 data_time: 0.0111 memory: 8510 grad_norm: 0.1453 loss: 0.0442 recall@thr=0.5: 0.6267 prec@thr=0.5: 0.6600 recall@top3: 0.7667 prec@top3: 0.6267 recall@top5: 0.9067 prec@top5: 0.4400 loss_action_cls: 0.0442 2022/12/03 10:58:37 - mmengine - INFO - Epoch(train) [4][4260/4451] lr: 8.5949e-02 eta: 2:30:11 time: 0.3334 data_time: 0.0119 memory: 8510 grad_norm: 0.1482 loss: 0.0519 recall@thr=0.5: 0.4241 prec@thr=0.5: 0.5000 recall@top3: 0.6540 prec@top3: 0.4598 recall@top5: 0.7851 prec@top5: 0.3517 loss_action_cls: 0.0519 2022/12/03 10:58:44 - mmengine - INFO - Epoch(train) [4][4280/4451] lr: 8.5888e-02 eta: 2:30:05 time: 0.3350 data_time: 0.0142 memory: 8510 grad_norm: 0.1473 loss: 0.0518 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.6894 recall@top3: 0.7386 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4818 loss_action_cls: 0.0518 2022/12/03 10:58:50 - mmengine - INFO - Epoch(train) [4][4300/4451] lr: 8.5826e-02 eta: 2:29:58 time: 0.3349 data_time: 0.0124 memory: 8510 grad_norm: 0.1393 loss: 0.0445 recall@thr=0.5: 0.6133 prec@thr=0.5: 0.6467 recall@top3: 0.6927 prec@top3: 0.6667 recall@top5: 0.8573 prec@top5: 0.5040 loss_action_cls: 0.0445 2022/12/03 10:58:57 - mmengine - INFO - Epoch(train) [4][4320/4451] lr: 8.5765e-02 eta: 2:29:51 time: 0.3362 data_time: 0.0113 memory: 8510 grad_norm: 0.1391 loss: 0.0431 recall@thr=0.5: 0.7902 prec@thr=0.5: 0.7701 recall@top3: 0.8218 prec@top3: 0.7126 recall@top5: 0.9828 prec@top5: 0.5241 loss_action_cls: 0.0431 2022/12/03 10:59:04 - mmengine - INFO - Epoch(train) [4][4340/4451] lr: 8.5703e-02 eta: 2:29:45 time: 0.3335 data_time: 0.0147 memory: 8510 grad_norm: 0.1461 loss: 0.0493 recall@thr=0.5: 0.3571 prec@thr=0.5: 0.4690 recall@top3: 0.7619 prec@top3: 0.6190 recall@top5: 0.8929 prec@top5: 0.4429 loss_action_cls: 0.0493 2022/12/03 10:59:10 - mmengine - INFO - Epoch(train) [4][4360/4451] lr: 8.5641e-02 eta: 2:29:38 time: 0.3349 data_time: 0.0121 memory: 8510 grad_norm: 0.1437 loss: 0.0497 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8333 recall@top3: 0.8712 prec@top3: 0.6667 recall@top5: 0.9735 prec@top5: 0.4455 loss_action_cls: 0.0497 2022/12/03 10:59:17 - mmengine - INFO - Epoch(train) [4][4380/4451] lr: 8.5579e-02 eta: 2:29:31 time: 0.3336 data_time: 0.0117 memory: 8510 grad_norm: 0.1414 loss: 0.0525 recall@thr=0.5: 0.6058 prec@thr=0.5: 0.7628 recall@top3: 0.8109 prec@top3: 0.8077 recall@top5: 0.9263 prec@top5: 0.5692 loss_action_cls: 0.0525 2022/12/03 10:59:24 - mmengine - INFO - Epoch(train) [4][4400/4451] lr: 8.5517e-02 eta: 2:29:24 time: 0.3358 data_time: 0.0150 memory: 8510 grad_norm: 0.1436 loss: 0.0514 recall@thr=0.5: 0.4961 prec@thr=0.5: 0.4755 recall@top3: 0.7078 prec@top3: 0.5882 recall@top5: 0.9118 prec@top5: 0.4941 loss_action_cls: 0.0514 2022/12/03 10:59:30 - mmengine - INFO - Epoch(train) [4][4420/4451] lr: 8.5455e-02 eta: 2:29:18 time: 0.3342 data_time: 0.0120 memory: 8510 grad_norm: 0.1495 loss: 0.0505 recall@thr=0.5: 0.4740 prec@thr=0.5: 0.6042 recall@top3: 0.6354 prec@top3: 0.5417 recall@top5: 0.8229 prec@top5: 0.4250 loss_action_cls: 0.0505 2022/12/03 10:59:37 - mmengine - INFO - Epoch(train) [4][4440/4451] lr: 8.5393e-02 eta: 2:29:11 time: 0.3338 data_time: 0.0127 memory: 8510 grad_norm: 0.1356 loss: 0.0484 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6863 recall@top3: 0.7941 prec@top3: 0.4510 recall@top5: 0.8824 prec@top5: 0.3176 loss_action_cls: 0.0484 2022/12/03 10:59:41 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 10:59:41 - mmengine - INFO - Epoch(train) [4][4451/4451] lr: 8.5358e-02 eta: 2:29:07 time: 0.3269 data_time: 0.0130 memory: 8510 grad_norm: 0.1486 loss: 0.0464 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5758 recall@top3: 0.6970 prec@top3: 0.4242 recall@top5: 0.8636 prec@top5: 0.3273 loss_action_cls: 0.0464 2022/12/03 10:59:41 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/12/03 10:59:46 - mmengine - INFO - Epoch(val) [4][ 20/6282] eta: 0:07:05 time: 0.0679 data_time: 0.0247 memory: 662 2022/12/03 10:59:47 - mmengine - INFO - Epoch(val) [4][ 40/6282] eta: 0:06:07 time: 0.0499 data_time: 0.0104 memory: 662 2022/12/03 10:59:48 - mmengine - INFO - Epoch(val) [4][ 60/6282] eta: 0:05:47 time: 0.0498 data_time: 0.0094 memory: 662 2022/12/03 10:59:49 - mmengine - INFO - Epoch(val) [4][ 80/6282] eta: 0:05:32 time: 0.0471 data_time: 0.0070 memory: 662 2022/12/03 10:59:50 - mmengine - INFO - Epoch(val) [4][ 100/6282] eta: 0:05:25 time: 0.0485 data_time: 0.0063 memory: 662 2022/12/03 10:59:51 - mmengine - INFO - Epoch(val) [4][ 120/6282] eta: 0:05:24 time: 0.0526 data_time: 0.0064 memory: 733 2022/12/03 10:59:52 - mmengine - INFO - Epoch(val) [4][ 140/6282] eta: 0:05:24 time: 0.0544 data_time: 0.0063 memory: 733 2022/12/03 10:59:53 - mmengine - INFO - Epoch(val) [4][ 160/6282] eta: 0:05:26 time: 0.0571 data_time: 0.0077 memory: 733 2022/12/03 10:59:55 - mmengine - INFO - Epoch(val) [4][ 180/6282] eta: 0:05:27 time: 0.0559 data_time: 0.0055 memory: 733 2022/12/03 10:59:56 - mmengine - INFO - Epoch(val) [4][ 200/6282] eta: 0:05:31 time: 0.0618 data_time: 0.0104 memory: 733 2022/12/03 10:59:57 - mmengine - INFO - Epoch(val) [4][ 220/6282] eta: 0:05:30 time: 0.0544 data_time: 0.0074 memory: 674 2022/12/03 10:59:58 - mmengine - INFO - Epoch(val) [4][ 240/6282] eta: 0:05:27 time: 0.0506 data_time: 0.0074 memory: 674 2022/12/03 10:59:59 - mmengine - INFO - Epoch(val) [4][ 260/6282] eta: 0:05:24 time: 0.0506 data_time: 0.0057 memory: 674 2022/12/03 11:00:00 - mmengine - INFO - Epoch(val) [4][ 280/6282] eta: 0:05:22 time: 0.0509 data_time: 0.0072 memory: 674 2022/12/03 11:00:01 - mmengine - INFO - Epoch(val) [4][ 300/6282] eta: 0:05:22 time: 0.0571 data_time: 0.0087 memory: 733 2022/12/03 11:00:02 - mmengine - INFO - Epoch(val) [4][ 320/6282] eta: 0:05:21 time: 0.0543 data_time: 0.0072 memory: 733 2022/12/03 11:00:03 - mmengine - INFO - Epoch(val) [4][ 340/6282] eta: 0:05:21 time: 0.0571 data_time: 0.0065 memory: 733 2022/12/03 11:00:05 - mmengine - INFO - Epoch(val) [4][ 360/6282] eta: 0:05:21 time: 0.0587 data_time: 0.0085 memory: 733 2022/12/03 11:00:06 - mmengine - INFO - Epoch(val) [4][ 380/6282] eta: 0:05:22 time: 0.0581 data_time: 0.0093 memory: 733 2022/12/03 11:00:07 - mmengine - INFO - Epoch(val) [4][ 400/6282] eta: 0:05:20 time: 0.0538 data_time: 0.0089 memory: 733 2022/12/03 11:00:08 - mmengine - INFO - Epoch(val) [4][ 420/6282] eta: 0:05:19 time: 0.0532 data_time: 0.0085 memory: 679 2022/12/03 11:00:09 - mmengine - INFO - Epoch(val) [4][ 440/6282] eta: 0:05:18 time: 0.0558 data_time: 0.0064 memory: 679 2022/12/03 11:00:10 - mmengine - INFO - Epoch(val) [4][ 460/6282] eta: 0:05:17 time: 0.0562 data_time: 0.0083 memory: 679 2022/12/03 11:00:11 - mmengine - INFO - Epoch(val) [4][ 480/6282] eta: 0:05:17 time: 0.0561 data_time: 0.0066 memory: 679 2022/12/03 11:00:12 - mmengine - INFO - Epoch(val) [4][ 500/6282] eta: 0:05:15 time: 0.0528 data_time: 0.0064 memory: 679 2022/12/03 11:00:13 - mmengine - INFO - Epoch(val) [4][ 520/6282] eta: 0:05:14 time: 0.0546 data_time: 0.0095 memory: 674 2022/12/03 11:00:14 - mmengine - INFO - Epoch(val) [4][ 540/6282] eta: 0:05:12 time: 0.0509 data_time: 0.0061 memory: 674 2022/12/03 11:00:15 - mmengine - INFO - Epoch(val) [4][ 560/6282] eta: 0:05:11 time: 0.0532 data_time: 0.0105 memory: 674 2022/12/03 11:00:16 - mmengine - INFO - Epoch(val) [4][ 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time: 0.0580 data_time: 0.0134 memory: 733 2022/12/03 11:00:26 - mmengine - INFO - Epoch(val) [4][ 760/6282] eta: 0:04:57 time: 0.0622 data_time: 0.0147 memory: 733 2022/12/03 11:00:28 - mmengine - INFO - Epoch(val) [4][ 780/6282] eta: 0:05:00 time: 0.0820 data_time: 0.0345 memory: 733 2022/12/03 11:00:29 - mmengine - INFO - Epoch(val) [4][ 800/6282] eta: 0:05:00 time: 0.0647 data_time: 0.0150 memory: 733 2022/12/03 11:00:30 - mmengine - INFO - Epoch(val) [4][ 820/6282] eta: 0:05:00 time: 0.0610 data_time: 0.0116 memory: 733 2022/12/03 11:00:31 - mmengine - INFO - Epoch(val) [4][ 840/6282] eta: 0:04:59 time: 0.0515 data_time: 0.0082 memory: 674 2022/12/03 11:00:32 - mmengine - INFO - Epoch(val) [4][ 860/6282] eta: 0:04:57 time: 0.0542 data_time: 0.0097 memory: 674 2022/12/03 11:00:33 - mmengine - INFO - Epoch(val) [4][ 880/6282] eta: 0:04:57 time: 0.0575 data_time: 0.0112 memory: 674 2022/12/03 11:00:35 - mmengine - INFO - Epoch(val) [4][ 900/6282] eta: 0:04:56 time: 0.0565 data_time: 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2022/12/03 11:00:44 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:04:43 time: 0.0510 data_time: 0.0064 memory: 674 2022/12/03 11:00:45 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:04:42 time: 0.0504 data_time: 0.0079 memory: 674 2022/12/03 11:00:46 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:04:40 time: 0.0515 data_time: 0.0073 memory: 674 2022/12/03 11:00:47 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:04:39 time: 0.0551 data_time: 0.0090 memory: 674 2022/12/03 11:00:48 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:04:38 time: 0.0502 data_time: 0.0064 memory: 674 2022/12/03 11:00:49 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:04:37 time: 0.0548 data_time: 0.0063 memory: 674 2022/12/03 11:00:50 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:04:35 time: 0.0508 data_time: 0.0076 memory: 674 2022/12/03 11:00:51 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:04:34 time: 0.0494 data_time: 0.0068 memory: 674 2022/12/03 11:00:52 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:04:33 time: 0.0556 data_time: 0.0096 memory: 733 2022/12/03 11:00:53 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:04:32 time: 0.0589 data_time: 0.0092 memory: 733 2022/12/03 11:00:55 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:04:32 time: 0.0614 data_time: 0.0164 memory: 733 2022/12/03 11:00:56 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:04:31 time: 0.0645 data_time: 0.0167 memory: 733 2022/12/03 11:00:57 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:04:31 time: 0.0628 data_time: 0.0165 memory: 733 2022/12/03 11:00:59 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:04:31 time: 0.0665 data_time: 0.0194 memory: 733 2022/12/03 11:01:00 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:04:30 time: 0.0613 data_time: 0.0154 memory: 733 2022/12/03 11:01:01 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:04:29 time: 0.0612 data_time: 0.0147 memory: 733 2022/12/03 11:01:02 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:04:29 time: 0.0635 data_time: 0.0174 memory: 733 2022/12/03 11:01:04 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:04:29 time: 0.0688 data_time: 0.0249 memory: 733 2022/12/03 11:01:05 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:04:28 time: 0.0532 data_time: 0.0041 memory: 733 2022/12/03 11:01:06 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:04:26 time: 0.0525 data_time: 0.0083 memory: 733 2022/12/03 11:01:07 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:04:25 time: 0.0524 data_time: 0.0069 memory: 733 2022/12/03 11:01:08 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:04:23 time: 0.0500 data_time: 0.0052 memory: 733 2022/12/03 11:01:09 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:04:22 time: 0.0538 data_time: 0.0074 memory: 820 2022/12/03 11:01:10 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:04:21 time: 0.0584 data_time: 0.0068 memory: 820 2022/12/03 11:01:11 - mmengine - INFO - Epoch(val) 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0:04:12 time: 0.0520 data_time: 0.0078 memory: 733 2022/12/03 11:01:21 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:04:11 time: 0.0558 data_time: 0.0063 memory: 733 2022/12/03 11:01:22 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:04:09 time: 0.0545 data_time: 0.0079 memory: 733 2022/12/03 11:01:24 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:04:08 time: 0.0549 data_time: 0.0066 memory: 733 2022/12/03 11:01:25 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:04:07 time: 0.0555 data_time: 0.0082 memory: 733 2022/12/03 11:01:26 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:04:06 time: 0.0557 data_time: 0.0081 memory: 733 2022/12/03 11:01:27 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:04:05 time: 0.0601 data_time: 0.0088 memory: 733 2022/12/03 11:01:28 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:04:04 time: 0.0568 data_time: 0.0085 memory: 733 2022/12/03 11:01:29 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:04:03 time: 0.0611 data_time: 0.0119 memory: 733 2022/12/03 11:01:30 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:04:02 time: 0.0569 data_time: 0.0093 memory: 733 2022/12/03 11:01:32 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:04:02 time: 0.0628 data_time: 0.0099 memory: 733 2022/12/03 11:01:33 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:04:01 time: 0.0649 data_time: 0.0148 memory: 733 2022/12/03 11:01:34 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:04:00 time: 0.0499 data_time: 0.0069 memory: 679 2022/12/03 11:01:35 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:03:58 time: 0.0541 data_time: 0.0061 memory: 679 2022/12/03 11:01:36 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:03:57 time: 0.0532 data_time: 0.0089 memory: 679 2022/12/03 11:01:37 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:03:56 time: 0.0560 data_time: 0.0075 memory: 679 2022/12/03 11:01:38 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:03:55 time: 0.0500 data_time: 0.0059 memory: 679 2022/12/03 11:01:39 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:03:54 time: 0.0540 data_time: 0.0090 memory: 679 2022/12/03 11:01:40 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:03:52 time: 0.0562 data_time: 0.0084 memory: 679 2022/12/03 11:01:42 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:03:51 time: 0.0570 data_time: 0.0105 memory: 679 2022/12/03 11:01:43 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:03:50 time: 0.0502 data_time: 0.0077 memory: 679 2022/12/03 11:01:44 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:03:49 time: 0.0513 data_time: 0.0080 memory: 679 2022/12/03 11:01:45 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:03:48 time: 0.0515 data_time: 0.0076 memory: 674 2022/12/03 11:01:46 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:03:46 time: 0.0493 data_time: 0.0062 memory: 674 2022/12/03 11:01:47 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:03:45 time: 0.0537 data_time: 0.0065 memory: 674 2022/12/03 11:01:48 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:03:44 time: 0.0517 data_time: 0.0074 memory: 674 2022/12/03 11:01:49 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:03:43 time: 0.0515 data_time: 0.0080 memory: 674 2022/12/03 11:01:50 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:03:41 time: 0.0524 data_time: 0.0081 memory: 679 2022/12/03 11:01:51 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:03:40 time: 0.0498 data_time: 0.0069 memory: 679 2022/12/03 11:01:52 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:03:39 time: 0.0519 data_time: 0.0077 memory: 679 2022/12/03 11:01:53 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:03:38 time: 0.0537 data_time: 0.0076 memory: 679 2022/12/03 11:01:54 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:03:37 time: 0.0545 data_time: 0.0068 memory: 679 2022/12/03 11:01:55 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:03:36 time: 0.0567 data_time: 0.0117 memory: 674 2022/12/03 11:01:56 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:03:34 time: 0.0537 data_time: 0.0069 memory: 674 2022/12/03 11:01:57 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:03:33 time: 0.0554 data_time: 0.0086 memory: 674 2022/12/03 11:01:58 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:03:32 time: 0.0545 data_time: 0.0080 memory: 674 2022/12/03 11:02:00 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:03:31 time: 0.0553 data_time: 0.0081 memory: 674 2022/12/03 11:02:01 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:03:30 time: 0.0627 data_time: 0.0116 memory: 733 2022/12/03 11:02:02 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:03:29 time: 0.0576 data_time: 0.0086 memory: 733 2022/12/03 11:02:03 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:03:28 time: 0.0583 data_time: 0.0086 memory: 733 2022/12/03 11:02:04 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:03:27 time: 0.0571 data_time: 0.0088 memory: 733 2022/12/03 11:02:05 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:03:26 time: 0.0570 data_time: 0.0084 memory: 733 2022/12/03 11:02:07 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:03:25 time: 0.0564 data_time: 0.0092 memory: 733 2022/12/03 11:02:08 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:03:24 time: 0.0620 data_time: 0.0161 memory: 733 2022/12/03 11:02:09 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:03:23 time: 0.0642 data_time: 0.0182 memory: 733 2022/12/03 11:02:10 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:03:22 time: 0.0608 data_time: 0.0150 memory: 733 2022/12/03 11:02:12 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:03:21 time: 0.0618 data_time: 0.0159 memory: 733 2022/12/03 11:02:13 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:03:20 time: 0.0573 data_time: 0.0079 memory: 812 2022/12/03 11:02:14 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:03:19 time: 0.0584 data_time: 0.0072 memory: 812 2022/12/03 11:02:15 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:03:18 time: 0.0602 data_time: 0.0071 memory: 812 2022/12/03 11:02:16 - mmengine - INFO - Epoch(val) [4][2720/6282] eta: 0:03:18 time: 0.0671 data_time: 0.0137 memory: 812 2022/12/03 11:02:18 - mmengine - INFO - Epoch(val) [4][2740/6282] eta: 0:03:17 time: 0.0614 data_time: 0.0100 memory: 812 2022/12/03 11:02:19 - mmengine - INFO - Epoch(val) [4][2760/6282] eta: 0:03:15 time: 0.0485 data_time: 0.0056 memory: 679 2022/12/03 11:02:20 - mmengine - INFO - Epoch(val) [4][2780/6282] eta: 0:03:14 time: 0.0491 data_time: 0.0066 memory: 679 2022/12/03 11:02:21 - mmengine - INFO - Epoch(val) [4][2800/6282] eta: 0:03:13 time: 0.0518 data_time: 0.0068 memory: 679 2022/12/03 11:02:22 - mmengine - INFO - Epoch(val) [4][2820/6282] eta: 0:03:12 time: 0.0513 data_time: 0.0084 memory: 679 2022/12/03 11:02:23 - mmengine - INFO - Epoch(val) [4][2840/6282] eta: 0:03:10 time: 0.0490 data_time: 0.0066 memory: 679 2022/12/03 11:02:24 - mmengine - INFO - Epoch(val) [4][2860/6282] eta: 0:03:09 time: 0.0583 data_time: 0.0072 memory: 733 2022/12/03 11:02:25 - mmengine - INFO - Epoch(val) [4][2880/6282] eta: 0:03:08 time: 0.0557 data_time: 0.0084 memory: 733 2022/12/03 11:02:26 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:03:07 time: 0.0577 data_time: 0.0080 memory: 733 2022/12/03 11:02:27 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:03:06 time: 0.0575 data_time: 0.0089 memory: 733 2022/12/03 11:02:28 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:03:05 time: 0.0526 data_time: 0.0077 memory: 702 2022/12/03 11:02:29 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:03:04 time: 0.0513 data_time: 0.0076 memory: 702 2022/12/03 11:02:30 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:03:02 time: 0.0519 data_time: 0.0085 memory: 702 2022/12/03 11:02:31 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:03:01 time: 0.0500 data_time: 0.0075 memory: 702 2022/12/03 11:02:32 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:03:00 time: 0.0536 data_time: 0.0073 memory: 733 2022/12/03 11:02:34 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:02:59 time: 0.0581 data_time: 0.0078 memory: 733 2022/12/03 11:02:35 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:02:58 time: 0.0560 data_time: 0.0071 memory: 733 2022/12/03 11:02:36 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:02:57 time: 0.0573 data_time: 0.0087 memory: 733 2022/12/03 11:02:37 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:02:56 time: 0.0510 data_time: 0.0071 memory: 733 2022/12/03 11:02:38 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:02:55 time: 0.0525 data_time: 0.0080 memory: 679 2022/12/03 11:02:39 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:02:53 time: 0.0508 data_time: 0.0070 memory: 679 2022/12/03 11:02:40 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:02:52 time: 0.0511 data_time: 0.0068 memory: 679 2022/12/03 11:02:41 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:02:51 time: 0.0514 data_time: 0.0068 memory: 679 2022/12/03 11:02:42 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:02:50 time: 0.0564 data_time: 0.0084 memory: 733 2022/12/03 11:02:43 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:02:49 time: 0.0574 data_time: 0.0092 memory: 733 2022/12/03 11:02:44 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:02:48 time: 0.0564 data_time: 0.0075 memory: 733 2022/12/03 11:02:46 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:02:47 time: 0.0556 data_time: 0.0070 memory: 733 2022/12/03 11:02:47 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:02:46 time: 0.0572 data_time: 0.0100 memory: 733 2022/12/03 11:02:48 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:02:44 time: 0.0564 data_time: 0.0080 memory: 733 2022/12/03 11:02:49 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:02:43 time: 0.0570 data_time: 0.0078 memory: 733 2022/12/03 11:02:50 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:02:42 time: 0.0558 data_time: 0.0074 memory: 733 2022/12/03 11:02:51 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:02:41 time: 0.0546 data_time: 0.0072 memory: 733 2022/12/03 11:02:52 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:02:40 time: 0.0569 data_time: 0.0085 memory: 733 2022/12/03 11:02:53 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:02:39 time: 0.0530 data_time: 0.0085 memory: 674 2022/12/03 11:02:55 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:02:38 time: 0.0569 data_time: 0.0109 memory: 674 2022/12/03 11:02:56 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:02:37 time: 0.0486 data_time: 0.0067 memory: 674 2022/12/03 11:02:57 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:02:35 time: 0.0509 data_time: 0.0066 memory: 674 2022/12/03 11:02:58 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:02:34 time: 0.0552 data_time: 0.0090 memory: 674 2022/12/03 11:02:59 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:02:33 time: 0.0503 data_time: 0.0075 memory: 674 2022/12/03 11:03:00 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:02:32 time: 0.0508 data_time: 0.0065 memory: 674 2022/12/03 11:03:01 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:02:31 time: 0.0509 data_time: 0.0086 memory: 674 2022/12/03 11:03:02 - mmengine - INFO - Epoch(val) [4][3560/6282] eta: 0:02:30 time: 0.0529 data_time: 0.0081 memory: 674 2022/12/03 11:03:03 - mmengine - INFO - Epoch(val) [4][3580/6282] eta: 0:02:29 time: 0.0521 data_time: 0.0081 memory: 716 2022/12/03 11:03:04 - mmengine - INFO - Epoch(val) [4][3600/6282] eta: 0:02:27 time: 0.0539 data_time: 0.0066 memory: 716 2022/12/03 11:03:05 - mmengine - INFO - Epoch(val) [4][3620/6282] eta: 0:02:26 time: 0.0534 data_time: 0.0065 memory: 716 2022/12/03 11:03:06 - mmengine - INFO - Epoch(val) [4][3640/6282] eta: 0:02:25 time: 0.0546 data_time: 0.0095 memory: 716 2022/12/03 11:03:07 - mmengine - INFO - Epoch(val) [4][3660/6282] eta: 0:02:24 time: 0.0530 data_time: 0.0078 memory: 716 2022/12/03 11:03:08 - mmengine - INFO - Epoch(val) [4][3680/6282] eta: 0:02:23 time: 0.0559 data_time: 0.0087 memory: 733 2022/12/03 11:03:09 - mmengine - INFO - Epoch(val) [4][3700/6282] eta: 0:02:22 time: 0.0566 data_time: 0.0093 memory: 733 2022/12/03 11:03:10 - mmengine - INFO - Epoch(val) [4][3720/6282] eta: 0:02:21 time: 0.0529 data_time: 0.0069 memory: 733 2022/12/03 11:03:12 - mmengine - INFO - Epoch(val) [4][3740/6282] eta: 0:02:20 time: 0.0563 data_time: 0.0080 memory: 733 2022/12/03 11:03:13 - mmengine - INFO - Epoch(val) [4][3760/6282] eta: 0:02:19 time: 0.0583 data_time: 0.0067 memory: 733 2022/12/03 11:03:14 - mmengine - INFO - Epoch(val) [4][3780/6282] eta: 0:02:18 time: 0.0585 data_time: 0.0110 memory: 733 2022/12/03 11:03:15 - mmengine - INFO - Epoch(val) [4][3800/6282] eta: 0:02:16 time: 0.0546 data_time: 0.0059 memory: 733 2022/12/03 11:03:16 - mmengine - INFO - Epoch(val) [4][3820/6282] eta: 0:02:15 time: 0.0591 data_time: 0.0081 memory: 733 2022/12/03 11:03:17 - mmengine - INFO - Epoch(val) [4][3840/6282] eta: 0:02:14 time: 0.0536 data_time: 0.0080 memory: 733 2022/12/03 11:03:18 - mmengine - INFO - Epoch(val) [4][3860/6282] eta: 0:02:13 time: 0.0567 data_time: 0.0055 memory: 733 2022/12/03 11:03:20 - mmengine - INFO - Epoch(val) [4][3880/6282] eta: 0:02:12 time: 0.0565 data_time: 0.0094 memory: 733 2022/12/03 11:03:21 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:02:11 time: 0.0546 data_time: 0.0074 memory: 733 2022/12/03 11:03:22 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:02:10 time: 0.0581 data_time: 0.0064 memory: 733 2022/12/03 11:03:23 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:02:09 time: 0.0545 data_time: 0.0080 memory: 733 2022/12/03 11:03:24 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:02:08 time: 0.0541 data_time: 0.0065 memory: 733 2022/12/03 11:03:25 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:02:07 time: 0.0550 data_time: 0.0077 memory: 733 2022/12/03 11:03:26 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:02:05 time: 0.0540 data_time: 0.0061 memory: 733 2022/12/03 11:03:27 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:02:04 time: 0.0533 data_time: 0.0083 memory: 733 2022/12/03 11:03:28 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:02:03 time: 0.0545 data_time: 0.0077 memory: 812 2022/12/03 11:03:29 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:02:02 time: 0.0554 data_time: 0.0063 memory: 812 2022/12/03 11:03:31 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:02:01 time: 0.0559 data_time: 0.0055 memory: 812 2022/12/03 11:03:32 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:02:00 time: 0.0599 data_time: 0.0086 memory: 812 2022/12/03 11:03:33 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:01:59 time: 0.0605 data_time: 0.0090 memory: 812 2022/12/03 11:03:34 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:01:58 time: 0.0559 data_time: 0.0079 memory: 812 2022/12/03 11:03:35 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:01:57 time: 0.0510 data_time: 0.0056 memory: 674 2022/12/03 11:03:36 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:01:56 time: 0.0577 data_time: 0.0091 memory: 674 2022/12/03 11:03:37 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:01:54 time: 0.0524 data_time: 0.0079 memory: 674 2022/12/03 11:03:38 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:01:53 time: 0.0487 data_time: 0.0055 memory: 674 2022/12/03 11:03:39 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:01:52 time: 0.0488 data_time: 0.0071 memory: 674 2022/12/03 11:03:40 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:01:51 time: 0.0503 data_time: 0.0084 memory: 673 2022/12/03 11:03:41 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:01:50 time: 0.0506 data_time: 0.0066 memory: 673 2022/12/03 11:03:42 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:01:49 time: 0.0507 data_time: 0.0093 memory: 673 2022/12/03 11:03:43 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:01:48 time: 0.0518 data_time: 0.0068 memory: 673 2022/12/03 11:03:44 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:01:46 time: 0.0513 data_time: 0.0090 memory: 673 2022/12/03 11:03:46 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:01:45 time: 0.0562 data_time: 0.0077 memory: 733 2022/12/03 11:03:47 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:01:44 time: 0.0557 data_time: 0.0079 memory: 733 2022/12/03 11:03:48 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:01:43 time: 0.0565 data_time: 0.0076 memory: 733 2022/12/03 11:03:49 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:01:42 time: 0.0511 data_time: 0.0076 memory: 733 2022/12/03 11:03:50 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:01:41 time: 0.0546 data_time: 0.0084 memory: 740 2022/12/03 11:03:51 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:01:40 time: 0.0548 data_time: 0.0071 memory: 740 2022/12/03 11:03:52 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:01:39 time: 0.0596 data_time: 0.0088 memory: 740 2022/12/03 11:03:53 - mmengine - INFO - Epoch(val) 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0:01:29 time: 0.0525 data_time: 0.0071 memory: 740 2022/12/03 11:04:03 - mmengine - INFO - Epoch(val) [4][4680/6282] eta: 0:01:28 time: 0.0544 data_time: 0.0063 memory: 740 2022/12/03 11:04:04 - mmengine - INFO - Epoch(val) [4][4700/6282] eta: 0:01:27 time: 0.0579 data_time: 0.0075 memory: 740 2022/12/03 11:04:05 - mmengine - INFO - Epoch(val) [4][4720/6282] eta: 0:01:25 time: 0.0548 data_time: 0.0077 memory: 740 2022/12/03 11:04:06 - mmengine - INFO - Epoch(val) [4][4740/6282] eta: 0:01:24 time: 0.0515 data_time: 0.0072 memory: 699 2022/12/03 11:04:07 - mmengine - INFO - Epoch(val) [4][4760/6282] eta: 0:01:23 time: 0.0514 data_time: 0.0065 memory: 699 2022/12/03 11:04:08 - mmengine - INFO - Epoch(val) [4][4780/6282] eta: 0:01:22 time: 0.0505 data_time: 0.0077 memory: 699 2022/12/03 11:04:09 - mmengine - INFO - Epoch(val) [4][4800/6282] eta: 0:01:21 time: 0.0523 data_time: 0.0072 memory: 699 2022/12/03 11:04:10 - mmengine - INFO - Epoch(val) [4][4820/6282] eta: 0:01:20 time: 0.0503 data_time: 0.0068 memory: 733 2022/12/03 11:04:11 - mmengine - INFO - Epoch(val) [4][4840/6282] eta: 0:01:19 time: 0.0540 data_time: 0.0069 memory: 733 2022/12/03 11:04:12 - mmengine - INFO - Epoch(val) [4][4860/6282] eta: 0:01:18 time: 0.0532 data_time: 0.0058 memory: 733 2022/12/03 11:04:14 - mmengine - INFO - Epoch(val) [4][4880/6282] eta: 0:01:17 time: 0.0546 data_time: 0.0062 memory: 733 2022/12/03 11:04:15 - mmengine - INFO - Epoch(val) [4][4900/6282] eta: 0:01:15 time: 0.0517 data_time: 0.0076 memory: 733 2022/12/03 11:04:16 - mmengine - INFO - Epoch(val) [4][4920/6282] eta: 0:01:14 time: 0.0550 data_time: 0.0084 memory: 736 2022/12/03 11:04:17 - mmengine - INFO - Epoch(val) [4][4940/6282] eta: 0:01:13 time: 0.0539 data_time: 0.0094 memory: 736 2022/12/03 11:04:18 - mmengine - INFO - Epoch(val) [4][4960/6282] eta: 0:01:12 time: 0.0518 data_time: 0.0068 memory: 736 2022/12/03 11:04:19 - mmengine - INFO - Epoch(val) [4][4980/6282] eta: 0:01:11 time: 0.0570 data_time: 0.0103 memory: 736 2022/12/03 11:04:20 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:01:10 time: 0.0598 data_time: 0.0071 memory: 736 2022/12/03 11:04:21 - mmengine - INFO - Epoch(val) [4][5020/6282] eta: 0:01:09 time: 0.0533 data_time: 0.0084 memory: 736 2022/12/03 11:04:22 - mmengine - INFO - Epoch(val) [4][5040/6282] eta: 0:01:08 time: 0.0505 data_time: 0.0074 memory: 679 2022/12/03 11:04:23 - mmengine - INFO - Epoch(val) [4][5060/6282] eta: 0:01:07 time: 0.0517 data_time: 0.0079 memory: 679 2022/12/03 11:04:24 - mmengine - INFO - Epoch(val) [4][5080/6282] eta: 0:01:05 time: 0.0535 data_time: 0.0086 memory: 679 2022/12/03 11:04:25 - mmengine - INFO - Epoch(val) [4][5100/6282] eta: 0:01:04 time: 0.0542 data_time: 0.0085 memory: 679 2022/12/03 11:04:26 - mmengine - INFO - Epoch(val) [4][5120/6282] eta: 0:01:03 time: 0.0498 data_time: 0.0057 memory: 679 2022/12/03 11:04:27 - mmengine - INFO - Epoch(val) [4][5140/6282] eta: 0:01:02 time: 0.0516 data_time: 0.0081 memory: 674 2022/12/03 11:04:29 - mmengine - INFO - Epoch(val) [4][5160/6282] eta: 0:01:01 time: 0.0551 data_time: 0.0067 memory: 674 2022/12/03 11:04:30 - mmengine - INFO - Epoch(val) [4][5180/6282] eta: 0:01:00 time: 0.0538 data_time: 0.0074 memory: 674 2022/12/03 11:04:31 - mmengine - INFO - Epoch(val) [4][5200/6282] eta: 0:00:59 time: 0.0569 data_time: 0.0098 memory: 674 2022/12/03 11:04:32 - mmengine - INFO - Epoch(val) [4][5220/6282] eta: 0:00:58 time: 0.0508 data_time: 0.0066 memory: 674 2022/12/03 11:04:33 - mmengine - INFO - Epoch(val) [4][5240/6282] eta: 0:00:57 time: 0.0557 data_time: 0.0093 memory: 673 2022/12/03 11:04:34 - mmengine - INFO - Epoch(val) [4][5260/6282] eta: 0:00:56 time: 0.0503 data_time: 0.0091 memory: 673 2022/12/03 11:04:35 - mmengine - INFO - Epoch(val) [4][5280/6282] eta: 0:00:54 time: 0.0515 data_time: 0.0072 memory: 673 2022/12/03 11:04:36 - mmengine - INFO - Epoch(val) [4][5300/6282] eta: 0:00:53 time: 0.0557 data_time: 0.0105 memory: 673 2022/12/03 11:04:37 - mmengine - INFO - Epoch(val) [4][5320/6282] eta: 0:00:52 time: 0.0596 data_time: 0.0115 memory: 674 2022/12/03 11:04:38 - mmengine - INFO - Epoch(val) [4][5340/6282] eta: 0:00:51 time: 0.0563 data_time: 0.0082 memory: 674 2022/12/03 11:04:39 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:00:50 time: 0.0525 data_time: 0.0076 memory: 674 2022/12/03 11:04:41 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:00:49 time: 0.0539 data_time: 0.0068 memory: 674 2022/12/03 11:04:42 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:00:48 time: 0.0527 data_time: 0.0059 memory: 674 2022/12/03 11:04:43 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:47 time: 0.0511 data_time: 0.0079 memory: 674 2022/12/03 11:04:44 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:46 time: 0.0548 data_time: 0.0115 memory: 674 2022/12/03 11:04:45 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:00:45 time: 0.0561 data_time: 0.0083 memory: 674 2022/12/03 11:04:46 - mmengine - INFO - Epoch(val) [4][5480/6282] eta: 0:00:43 time: 0.0514 data_time: 0.0086 memory: 674 2022/12/03 11:04:47 - mmengine - INFO - Epoch(val) [4][5500/6282] eta: 0:00:42 time: 0.0523 data_time: 0.0066 memory: 674 2022/12/03 11:04:48 - mmengine - INFO - Epoch(val) [4][5520/6282] eta: 0:00:41 time: 0.0530 data_time: 0.0088 memory: 695 2022/12/03 11:04:49 - mmengine - INFO - Epoch(val) [4][5540/6282] eta: 0:00:40 time: 0.0543 data_time: 0.0090 memory: 695 2022/12/03 11:04:50 - mmengine - INFO - Epoch(val) [4][5560/6282] eta: 0:00:39 time: 0.0522 data_time: 0.0064 memory: 695 2022/12/03 11:04:51 - mmengine - INFO - Epoch(val) [4][5580/6282] eta: 0:00:38 time: 0.0545 data_time: 0.0072 memory: 695 2022/12/03 11:04:52 - mmengine - INFO - Epoch(val) [4][5600/6282] eta: 0:00:37 time: 0.0569 data_time: 0.0094 memory: 695 2022/12/03 11:04:53 - mmengine - INFO - Epoch(val) [4][5620/6282] eta: 0:00:36 time: 0.0520 data_time: 0.0082 memory: 695 2022/12/03 11:04:55 - mmengine - INFO - Epoch(val) [4][5640/6282] eta: 0:00:35 time: 0.0567 data_time: 0.0117 memory: 674 2022/12/03 11:04:56 - mmengine - INFO - Epoch(val) [4][5660/6282] eta: 0:00:34 time: 0.0546 data_time: 0.0082 memory: 674 2022/12/03 11:04:57 - mmengine - INFO - Epoch(val) [4][5680/6282] eta: 0:00:32 time: 0.0523 data_time: 0.0087 memory: 674 2022/12/03 11:04:58 - mmengine - INFO - Epoch(val) [4][5700/6282] eta: 0:00:31 time: 0.0567 data_time: 0.0094 memory: 674 2022/12/03 11:04:59 - mmengine - INFO - Epoch(val) [4][5720/6282] eta: 0:00:30 time: 0.0515 data_time: 0.0063 memory: 708 2022/12/03 11:05:00 - mmengine - INFO - Epoch(val) [4][5740/6282] eta: 0:00:29 time: 0.0593 data_time: 0.0133 memory: 708 2022/12/03 11:05:01 - mmengine - INFO - Epoch(val) [4][5760/6282] eta: 0:00:28 time: 0.0542 data_time: 0.0092 memory: 708 2022/12/03 11:05:02 - mmengine - INFO - Epoch(val) [4][5780/6282] eta: 0:00:27 time: 0.0553 data_time: 0.0067 memory: 708 2022/12/03 11:05:03 - mmengine - INFO - Epoch(val) [4][5800/6282] eta: 0:00:26 time: 0.0546 data_time: 0.0093 memory: 708 2022/12/03 11:05:04 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:25 time: 0.0548 data_time: 0.0089 memory: 708 2022/12/03 11:05:06 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:24 time: 0.0545 data_time: 0.0105 memory: 695 2022/12/03 11:05:07 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:23 time: 0.0507 data_time: 0.0072 memory: 695 2022/12/03 11:05:08 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:22 time: 0.0555 data_time: 0.0095 memory: 695 2022/12/03 11:05:09 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:20 time: 0.0552 data_time: 0.0084 memory: 695 2022/12/03 11:05:10 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:19 time: 0.0537 data_time: 0.0099 memory: 695 2022/12/03 11:05:11 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:18 time: 0.0531 data_time: 0.0103 memory: 674 2022/12/03 11:05:12 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:17 time: 0.0599 data_time: 0.0157 memory: 674 2022/12/03 11:05:13 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:16 time: 0.0498 data_time: 0.0060 memory: 674 2022/12/03 11:05:14 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:15 time: 0.0543 data_time: 0.0073 memory: 733 2022/12/03 11:05:15 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:14 time: 0.0580 data_time: 0.0070 memory: 733 2022/12/03 11:05:16 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:13 time: 0.0535 data_time: 0.0069 memory: 733 2022/12/03 11:05:18 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:12 time: 0.0547 data_time: 0.0074 memory: 733 2022/12/03 11:05:19 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:11 time: 0.0578 data_time: 0.0084 memory: 733 2022/12/03 11:05:20 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:09 time: 0.0556 data_time: 0.0089 memory: 733 2022/12/03 11:05:21 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:08 time: 0.0580 data_time: 0.0085 memory: 733 2022/12/03 11:05:22 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:07 time: 0.0560 data_time: 0.0059 memory: 733 2022/12/03 11:05:23 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:06 time: 0.0580 data_time: 0.0083 memory: 733 2022/12/03 11:05:24 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:05 time: 0.0534 data_time: 0.0085 memory: 733 2022/12/03 11:05:25 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:04 time: 0.0542 data_time: 0.0074 memory: 733 2022/12/03 11:05:26 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:03 time: 0.0508 data_time: 0.0064 memory: 733 2022/12/03 11:05:27 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:02 time: 0.0521 data_time: 0.0090 memory: 733 2022/12/03 11:05:28 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:01 time: 0.0401 data_time: 0.0042 memory: 733 2022/12/03 11:05:29 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0377 data_time: 0.0028 memory: 733 2022/12/03 11:10:56 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.2532 2022/12/03 11:10:56 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2022/12/03 11:10:58 - mmengine - INFO - The best checkpoint with 0.2532 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2022/12/03 11:11:05 - mmengine - INFO - Epoch(train) [5][ 20/4451] lr: 8.5296e-02 eta: 2:29:01 time: 0.3632 data_time: 0.0440 memory: 8510 grad_norm: 0.1380 loss: 0.0434 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6583 recall@top3: 0.7417 prec@top3: 0.4167 recall@top5: 0.9167 prec@top5: 0.3200 loss_action_cls: 0.0434 2022/12/03 11:11:12 - mmengine - INFO - Epoch(train) [5][ 40/4451] lr: 8.5233e-02 eta: 2:28:55 time: 0.3346 data_time: 0.0130 memory: 8510 grad_norm: 0.1407 loss: 0.0454 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.5351 recall@top3: 0.8596 prec@top3: 0.6140 recall@top5: 0.9649 prec@top5: 0.4211 loss_action_cls: 0.0454 2022/12/03 11:11:19 - mmengine - INFO - Epoch(train) [5][ 60/4451] lr: 8.5171e-02 eta: 2:28:48 time: 0.3352 data_time: 0.0125 memory: 8510 grad_norm: 0.1482 loss: 0.0467 recall@thr=0.5: 0.6758 prec@thr=0.5: 0.7803 recall@top3: 0.7076 prec@top3: 0.7424 recall@top5: 0.9280 prec@top5: 0.6182 loss_action_cls: 0.0467 2022/12/03 11:11:25 - mmengine - INFO - Epoch(train) [5][ 80/4451] lr: 8.5108e-02 eta: 2:28:41 time: 0.3363 data_time: 0.0105 memory: 8510 grad_norm: 0.1418 loss: 0.0467 recall@thr=0.5: 0.6551 prec@thr=0.5: 0.7949 recall@top3: 0.8423 prec@top3: 0.7821 recall@top5: 0.9577 prec@top5: 0.5462 loss_action_cls: 0.0467 2022/12/03 11:11:32 - mmengine - INFO - Epoch(train) [5][ 100/4451] lr: 8.5045e-02 eta: 2:28:34 time: 0.3354 data_time: 0.0113 memory: 8510 grad_norm: 0.1454 loss: 0.0480 recall@thr=0.5: 0.5867 prec@thr=0.5: 0.7556 recall@top3: 0.8133 prec@top3: 0.6889 recall@top5: 0.8889 prec@top5: 0.4800 loss_action_cls: 0.0480 2022/12/03 11:11:39 - mmengine - INFO - Epoch(train) [5][ 120/4451] lr: 8.4982e-02 eta: 2:28:28 time: 0.3366 data_time: 0.0114 memory: 8510 grad_norm: 0.1400 loss: 0.0489 recall@thr=0.5: 0.7614 prec@thr=0.5: 0.8333 recall@top3: 0.8106 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4636 loss_action_cls: 0.0489 2022/12/03 11:11:45 - mmengine - INFO - Epoch(train) [5][ 140/4451] lr: 8.4919e-02 eta: 2:28:21 time: 0.3329 data_time: 0.0126 memory: 8510 grad_norm: 0.1462 loss: 0.0451 recall@thr=0.5: 0.5470 prec@thr=0.5: 0.6439 recall@top3: 0.6379 prec@top3: 0.5455 recall@top5: 0.7061 prec@top5: 0.3636 loss_action_cls: 0.0451 2022/12/03 11:11:52 - mmengine - INFO - Epoch(train) [5][ 160/4451] lr: 8.4856e-02 eta: 2:28:14 time: 0.3378 data_time: 0.0134 memory: 8510 grad_norm: 0.1518 loss: 0.0460 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6190 recall@top3: 0.6905 prec@top3: 0.5000 recall@top5: 0.8452 prec@top5: 0.4000 loss_action_cls: 0.0460 2022/12/03 11:11:59 - mmengine - INFO - Epoch(train) [5][ 180/4451] lr: 8.4793e-02 eta: 2:28:08 time: 0.3336 data_time: 0.0138 memory: 8510 grad_norm: 0.1464 loss: 0.0470 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7549 recall@top3: 0.7059 prec@top3: 0.6667 recall@top5: 0.8284 prec@top5: 0.4824 loss_action_cls: 0.0470 2022/12/03 11:12:04 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:12:06 - mmengine - INFO - Epoch(train) [5][ 200/4451] lr: 8.4729e-02 eta: 2:28:01 time: 0.3333 data_time: 0.0137 memory: 8510 grad_norm: 0.1384 loss: 0.0499 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7458 recall@top3: 0.8458 prec@top3: 0.7167 recall@top5: 0.9375 prec@top5: 0.4900 loss_action_cls: 0.0499 2022/12/03 11:12:12 - mmengine - INFO - Epoch(train) [5][ 220/4451] lr: 8.4666e-02 eta: 2:27:54 time: 0.3328 data_time: 0.0113 memory: 8510 grad_norm: 0.1447 loss: 0.0496 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8000 recall@top3: 0.7458 prec@top3: 0.5833 recall@top5: 0.9250 prec@top5: 0.4400 loss_action_cls: 0.0496 2022/12/03 11:12:19 - mmengine - INFO - Epoch(train) [5][ 240/4451] lr: 8.4602e-02 eta: 2:27:47 time: 0.3339 data_time: 0.0112 memory: 8510 grad_norm: 0.1538 loss: 0.0468 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.5833 recall@top3: 0.7949 prec@top3: 0.6538 recall@top5: 0.9327 prec@top5: 0.4769 loss_action_cls: 0.0468 2022/12/03 11:12:26 - mmengine - INFO - Epoch(train) [5][ 260/4451] lr: 8.4538e-02 eta: 2:27:41 time: 0.3343 data_time: 0.0132 memory: 8510 grad_norm: 0.1415 loss: 0.0445 recall@thr=0.5: 0.6762 prec@thr=0.5: 0.9127 recall@top3: 0.7794 prec@top3: 0.7778 recall@top5: 0.9254 prec@top5: 0.5714 loss_action_cls: 0.0445 2022/12/03 11:12:32 - mmengine - INFO - Epoch(train) [5][ 280/4451] lr: 8.4474e-02 eta: 2:27:34 time: 0.3338 data_time: 0.0116 memory: 8510 grad_norm: 0.1562 loss: 0.0466 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.4792 recall@top3: 0.7083 prec@top3: 0.3958 recall@top5: 0.8125 prec@top5: 0.2875 loss_action_cls: 0.0466 2022/12/03 11:12:39 - mmengine - INFO - Epoch(train) [5][ 300/4451] lr: 8.4410e-02 eta: 2:27:27 time: 0.3333 data_time: 0.0129 memory: 8510 grad_norm: 0.1522 loss: 0.0496 recall@thr=0.5: 0.4048 prec@thr=0.5: 0.6349 recall@top3: 0.6190 prec@top3: 0.5873 recall@top5: 0.8929 prec@top5: 0.4762 loss_action_cls: 0.0496 2022/12/03 11:12:46 - mmengine - INFO - Epoch(train) [5][ 320/4451] lr: 8.4346e-02 eta: 2:27:21 time: 0.3357 data_time: 0.0116 memory: 8510 grad_norm: 0.1419 loss: 0.0459 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.6974 recall@top3: 0.7807 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4947 loss_action_cls: 0.0459 2022/12/03 11:12:52 - mmengine - INFO - Epoch(train) [5][ 340/4451] lr: 8.4282e-02 eta: 2:27:14 time: 0.3354 data_time: 0.0112 memory: 8510 grad_norm: 0.1491 loss: 0.0466 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8750 recall@top3: 0.8854 prec@top3: 0.6042 recall@top5: 0.9167 prec@top5: 0.3750 loss_action_cls: 0.0466 2022/12/03 11:12:59 - mmengine - INFO - Epoch(train) [5][ 360/4451] lr: 8.4218e-02 eta: 2:27:07 time: 0.3352 data_time: 0.0126 memory: 8510 grad_norm: 0.1502 loss: 0.0470 recall@thr=0.5: 0.6738 prec@thr=0.5: 0.7440 recall@top3: 0.7512 prec@top3: 0.6310 recall@top5: 0.8607 prec@top5: 0.4571 loss_action_cls: 0.0470 2022/12/03 11:13:06 - mmengine - INFO - Epoch(train) [5][ 380/4451] lr: 8.4154e-02 eta: 2:27:00 time: 0.3350 data_time: 0.0135 memory: 8510 grad_norm: 0.1450 loss: 0.0460 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.6140 recall@top3: 0.7237 prec@top3: 0.5263 recall@top5: 0.9868 prec@top5: 0.4211 loss_action_cls: 0.0460 2022/12/03 11:13:13 - mmengine - INFO - Epoch(train) [5][ 400/4451] lr: 8.4089e-02 eta: 2:26:54 time: 0.3367 data_time: 0.0168 memory: 8510 grad_norm: 0.1449 loss: 0.0490 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.7976 recall@top3: 0.8690 prec@top3: 0.7381 recall@top5: 0.9821 prec@top5: 0.5214 loss_action_cls: 0.0490 2022/12/03 11:13:19 - mmengine - INFO - Epoch(train) [5][ 420/4451] lr: 8.4024e-02 eta: 2:26:47 time: 0.3345 data_time: 0.0108 memory: 8510 grad_norm: 0.1431 loss: 0.0526 recall@thr=0.5: 0.3775 prec@thr=0.5: 0.3235 recall@top3: 0.6471 prec@top3: 0.4510 recall@top5: 0.8431 prec@top5: 0.3882 loss_action_cls: 0.0526 2022/12/03 11:13:26 - mmengine - INFO - Epoch(train) [5][ 440/4451] lr: 8.3960e-02 eta: 2:26:40 time: 0.3353 data_time: 0.0121 memory: 8510 grad_norm: 0.1423 loss: 0.0486 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.7353 recall@top3: 0.7892 prec@top3: 0.6667 recall@top5: 0.8824 prec@top5: 0.4588 loss_action_cls: 0.0486 2022/12/03 11:13:33 - mmengine - INFO - Epoch(train) [5][ 460/4451] lr: 8.3895e-02 eta: 2:26:34 time: 0.3334 data_time: 0.0156 memory: 8510 grad_norm: 0.1520 loss: 0.0490 recall@thr=0.5: 0.3302 prec@thr=0.5: 0.4444 recall@top3: 0.6992 prec@top3: 0.5873 recall@top5: 0.8675 prec@top5: 0.4286 loss_action_cls: 0.0490 2022/12/03 11:13:39 - mmengine - INFO - Epoch(train) [5][ 480/4451] lr: 8.3830e-02 eta: 2:26:27 time: 0.3342 data_time: 0.0137 memory: 8510 grad_norm: 0.1523 loss: 0.0467 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7222 recall@top3: 0.8254 prec@top3: 0.5079 recall@top5: 0.9048 prec@top5: 0.3429 loss_action_cls: 0.0467 2022/12/03 11:13:46 - mmengine - INFO - Epoch(train) [5][ 500/4451] lr: 8.3765e-02 eta: 2:26:20 time: 0.3332 data_time: 0.0120 memory: 8510 grad_norm: 0.1440 loss: 0.0447 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8148 recall@top3: 0.8148 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4556 loss_action_cls: 0.0447 2022/12/03 11:13:53 - mmengine - INFO - Epoch(train) [5][ 520/4451] lr: 8.3700e-02 eta: 2:26:13 time: 0.3347 data_time: 0.0121 memory: 8510 grad_norm: 0.1483 loss: 0.0515 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4417 recall@top3: 0.6250 prec@top3: 0.4333 recall@top5: 0.7750 prec@top5: 0.3300 loss_action_cls: 0.0515 2022/12/03 11:13:59 - mmengine - INFO - Epoch(train) [5][ 540/4451] lr: 8.3635e-02 eta: 2:26:07 time: 0.3324 data_time: 0.0115 memory: 8510 grad_norm: 0.1423 loss: 0.0486 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.7500 recall@top3: 0.7083 prec@top3: 0.5667 recall@top5: 0.9292 prec@top5: 0.4500 loss_action_cls: 0.0486 2022/12/03 11:14:06 - mmengine - INFO - Epoch(train) [5][ 560/4451] lr: 8.3569e-02 eta: 2:26:00 time: 0.3341 data_time: 0.0118 memory: 8510 grad_norm: 0.1428 loss: 0.0461 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8889 recall@top3: 0.9815 prec@top3: 0.4444 recall@top5: 0.9815 prec@top5: 0.2667 loss_action_cls: 0.0461 2022/12/03 11:14:13 - mmengine - INFO - Epoch(train) [5][ 580/4451] lr: 8.3504e-02 eta: 2:25:53 time: 0.3341 data_time: 0.0114 memory: 8510 grad_norm: 0.1446 loss: 0.0473 recall@thr=0.5: 0.6623 prec@thr=0.5: 0.8772 recall@top3: 0.7500 prec@top3: 0.7368 recall@top5: 0.9561 prec@top5: 0.5789 loss_action_cls: 0.0473 2022/12/03 11:14:19 - mmengine - INFO - Epoch(train) [5][ 600/4451] lr: 8.3438e-02 eta: 2:25:46 time: 0.3342 data_time: 0.0133 memory: 8510 grad_norm: 0.1413 loss: 0.0465 recall@thr=0.5: 0.8475 prec@thr=0.5: 0.7592 recall@top3: 0.9100 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0465 2022/12/03 11:14:26 - mmengine - INFO - Epoch(train) [5][ 620/4451] lr: 8.3373e-02 eta: 2:25:40 time: 0.3343 data_time: 0.0122 memory: 8510 grad_norm: 0.1484 loss: 0.0498 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6111 recall@top3: 0.7475 prec@top3: 0.6566 recall@top5: 0.9444 prec@top5: 0.4909 loss_action_cls: 0.0498 2022/12/03 11:14:33 - mmengine - INFO - Epoch(train) [5][ 640/4451] lr: 8.3307e-02 eta: 2:25:33 time: 0.3339 data_time: 0.0134 memory: 8510 grad_norm: 0.1409 loss: 0.0439 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8000 recall@top3: 0.8254 prec@top3: 0.6349 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0439 2022/12/03 11:14:39 - mmengine - INFO - Epoch(train) [5][ 660/4451] lr: 8.3241e-02 eta: 2:25:26 time: 0.3332 data_time: 0.0148 memory: 8510 grad_norm: 0.1477 loss: 0.0475 recall@thr=0.5: 0.5194 prec@thr=0.5: 0.5833 recall@top3: 0.7606 prec@top3: 0.6444 recall@top5: 0.8961 prec@top5: 0.4933 loss_action_cls: 0.0475 2022/12/03 11:14:46 - mmengine - INFO - Epoch(train) [5][ 680/4451] lr: 8.3175e-02 eta: 2:25:20 time: 0.3339 data_time: 0.0124 memory: 8510 grad_norm: 0.1405 loss: 0.0461 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.5392 recall@top3: 0.7353 prec@top3: 0.4902 recall@top5: 0.8725 prec@top5: 0.3529 loss_action_cls: 0.0461 2022/12/03 11:14:53 - mmengine - INFO - Epoch(train) [5][ 700/4451] lr: 8.3109e-02 eta: 2:25:13 time: 0.3341 data_time: 0.0110 memory: 8510 grad_norm: 0.1425 loss: 0.0453 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4500 recall@top3: 0.6833 prec@top3: 0.4500 recall@top5: 0.7667 prec@top5: 0.3100 loss_action_cls: 0.0453 2022/12/03 11:14:59 - mmengine - INFO - Epoch(train) [5][ 720/4451] lr: 8.3043e-02 eta: 2:25:06 time: 0.3364 data_time: 0.0120 memory: 8510 grad_norm: 0.1486 loss: 0.0495 recall@thr=0.5: 0.6398 prec@thr=0.5: 0.7849 recall@top3: 0.8360 prec@top3: 0.7957 recall@top5: 0.9812 prec@top5: 0.5742 loss_action_cls: 0.0495 2022/12/03 11:15:06 - mmengine - INFO - Epoch(train) [5][ 740/4451] lr: 8.2977e-02 eta: 2:24:59 time: 0.3336 data_time: 0.0117 memory: 8510 grad_norm: 0.1538 loss: 0.0484 recall@thr=0.5: 0.4815 prec@thr=0.5: 0.6667 recall@top3: 0.6944 prec@top3: 0.5556 recall@top5: 0.9537 prec@top5: 0.4667 loss_action_cls: 0.0484 2022/12/03 11:15:13 - mmengine - INFO - Epoch(train) [5][ 760/4451] lr: 8.2910e-02 eta: 2:24:53 time: 0.3349 data_time: 0.0171 memory: 8510 grad_norm: 0.1539 loss: 0.0438 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8095 recall@top3: 0.7262 prec@top3: 0.4048 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0438 2022/12/03 11:15:20 - mmengine - INFO - Epoch(train) [5][ 780/4451] lr: 8.2844e-02 eta: 2:24:46 time: 0.3356 data_time: 0.0117 memory: 8510 grad_norm: 0.1520 loss: 0.0495 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7193 recall@top3: 0.7719 prec@top3: 0.5965 recall@top5: 0.8947 prec@top5: 0.4316 loss_action_cls: 0.0495 2022/12/03 11:15:26 - mmengine - INFO - Epoch(train) [5][ 800/4451] lr: 8.2777e-02 eta: 2:24:39 time: 0.3346 data_time: 0.0113 memory: 8510 grad_norm: 0.1510 loss: 0.0469 recall@thr=0.5: 0.6029 prec@thr=0.5: 0.7745 recall@top3: 0.8971 prec@top3: 0.8039 recall@top5: 0.9265 prec@top5: 0.5059 loss_action_cls: 0.0469 2022/12/03 11:15:33 - mmengine - INFO - Epoch(train) [5][ 820/4451] lr: 8.2711e-02 eta: 2:24:33 time: 0.3346 data_time: 0.0128 memory: 8510 grad_norm: 0.1551 loss: 0.0456 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7456 recall@top3: 0.8246 prec@top3: 0.8070 recall@top5: 0.9342 prec@top5: 0.5579 loss_action_cls: 0.0456 2022/12/03 11:15:40 - mmengine - INFO - Epoch(train) [5][ 840/4451] lr: 8.2644e-02 eta: 2:24:26 time: 0.3367 data_time: 0.0113 memory: 8510 grad_norm: 0.1502 loss: 0.0464 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7677 recall@top3: 0.7475 prec@top3: 0.6465 recall@top5: 0.9444 prec@top5: 0.4788 loss_action_cls: 0.0464 2022/12/03 11:15:47 - mmengine - INFO - Epoch(train) [5][ 860/4451] lr: 8.2577e-02 eta: 2:24:20 time: 0.3460 data_time: 0.0123 memory: 8510 grad_norm: 0.1499 loss: 0.0484 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.6377 recall@top3: 0.8188 prec@top3: 0.5072 recall@top5: 0.9348 prec@top5: 0.3565 loss_action_cls: 0.0484 2022/12/03 11:15:53 - mmengine - INFO - Epoch(train) [5][ 880/4451] lr: 8.2510e-02 eta: 2:24:13 time: 0.3351 data_time: 0.0116 memory: 8510 grad_norm: 0.1446 loss: 0.0502 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.6410 recall@top3: 0.7821 prec@top3: 0.6026 recall@top5: 0.9615 prec@top5: 0.4538 loss_action_cls: 0.0502 2022/12/03 11:16:00 - mmengine - INFO - Epoch(train) [5][ 900/4451] lr: 8.2443e-02 eta: 2:24:06 time: 0.3358 data_time: 0.0110 memory: 8510 grad_norm: 0.1481 loss: 0.0511 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.6410 recall@top3: 0.7340 prec@top3: 0.5128 recall@top5: 0.8333 prec@top5: 0.3615 loss_action_cls: 0.0511 2022/12/03 11:16:07 - mmengine - INFO - Epoch(train) [5][ 920/4451] lr: 8.2376e-02 eta: 2:23:59 time: 0.3331 data_time: 0.0154 memory: 8510 grad_norm: 0.1480 loss: 0.0476 recall@thr=0.5: 0.5761 prec@thr=0.5: 0.7138 recall@top3: 0.7862 prec@top3: 0.6087 recall@top5: 0.9529 prec@top5: 0.4696 loss_action_cls: 0.0476 2022/12/03 11:16:13 - mmengine - INFO - Epoch(train) [5][ 940/4451] lr: 8.2308e-02 eta: 2:23:53 time: 0.3349 data_time: 0.0164 memory: 8510 grad_norm: 0.1504 loss: 0.0430 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8144 recall@top3: 0.8303 prec@top3: 0.6515 recall@top5: 0.9455 prec@top5: 0.4727 loss_action_cls: 0.0430 2022/12/03 11:16:20 - mmengine - INFO - Epoch(train) [5][ 960/4451] lr: 8.2241e-02 eta: 2:23:46 time: 0.3352 data_time: 0.0110 memory: 8510 grad_norm: 0.1484 loss: 0.0465 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.5778 recall@top3: 0.7000 prec@top3: 0.4667 recall@top5: 0.9333 prec@top5: 0.3467 loss_action_cls: 0.0465 2022/12/03 11:16:27 - mmengine - INFO - Epoch(train) [5][ 980/4451] lr: 8.2174e-02 eta: 2:23:39 time: 0.3349 data_time: 0.0112 memory: 8510 grad_norm: 0.1557 loss: 0.0481 recall@thr=0.5: 0.4855 prec@thr=0.5: 0.5942 recall@top3: 0.6304 prec@top3: 0.5507 recall@top5: 0.8406 prec@top5: 0.4087 loss_action_cls: 0.0481 2022/12/03 11:16:33 - mmengine - INFO - Epoch(train) [5][1000/4451] lr: 8.2106e-02 eta: 2:23:33 time: 0.3340 data_time: 0.0141 memory: 8510 grad_norm: 0.1598 loss: 0.0463 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6746 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 0.9841 prec@top5: 0.4476 loss_action_cls: 0.0463 2022/12/03 11:16:40 - mmengine - INFO - Epoch(train) [5][1020/4451] lr: 8.2038e-02 eta: 2:23:26 time: 0.3343 data_time: 0.0136 memory: 8510 grad_norm: 0.1438 loss: 0.0450 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7857 recall@top3: 0.8095 prec@top3: 0.6349 recall@top5: 0.9206 prec@top5: 0.4476 loss_action_cls: 0.0450 2022/12/03 11:16:47 - mmengine - INFO - Epoch(train) [5][1040/4451] lr: 8.1970e-02 eta: 2:23:19 time: 0.3337 data_time: 0.0141 memory: 8510 grad_norm: 0.1507 loss: 0.0443 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8000 recall@top3: 0.9042 prec@top3: 0.5000 recall@top5: 0.9500 prec@top5: 0.3300 loss_action_cls: 0.0443 2022/12/03 11:16:53 - mmengine - INFO - Epoch(train) [5][1060/4451] lr: 8.1903e-02 eta: 2:23:12 time: 0.3349 data_time: 0.0123 memory: 8510 grad_norm: 0.1485 loss: 0.0473 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.8860 recall@top3: 0.9561 prec@top3: 0.7544 recall@top5: 0.9825 prec@top5: 0.4632 loss_action_cls: 0.0473 2022/12/03 11:17:00 - mmengine - INFO - Epoch(train) [5][1080/4451] lr: 8.1835e-02 eta: 2:23:06 time: 0.3339 data_time: 0.0128 memory: 8510 grad_norm: 0.1426 loss: 0.0467 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7685 recall@top3: 0.7685 prec@top3: 0.6296 recall@top5: 0.8750 prec@top5: 0.4444 loss_action_cls: 0.0467 2022/12/03 11:17:07 - mmengine - INFO - Epoch(train) [5][1100/4451] lr: 8.1767e-02 eta: 2:22:59 time: 0.3347 data_time: 0.0120 memory: 8510 grad_norm: 0.1432 loss: 0.0473 recall@thr=0.5: 0.3788 prec@thr=0.5: 0.3788 recall@top3: 0.7652 prec@top3: 0.4697 recall@top5: 0.9545 prec@top5: 0.3364 loss_action_cls: 0.0473 2022/12/03 11:17:14 - mmengine - INFO - Epoch(train) [5][1120/4451] lr: 8.1698e-02 eta: 2:22:52 time: 0.3346 data_time: 0.0120 memory: 8510 grad_norm: 0.1418 loss: 0.0436 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6865 recall@top3: 0.8175 prec@top3: 0.5556 recall@top5: 0.9762 prec@top5: 0.4286 loss_action_cls: 0.0436 2022/12/03 11:17:20 - mmengine - INFO - Epoch(train) [5][1140/4451] lr: 8.1630e-02 eta: 2:22:46 time: 0.3357 data_time: 0.0121 memory: 8510 grad_norm: 0.1454 loss: 0.0463 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.5789 recall@top3: 0.7544 prec@top3: 0.4737 recall@top5: 0.8860 prec@top5: 0.3368 loss_action_cls: 0.0463 2022/12/03 11:17:27 - mmengine - INFO - Epoch(train) [5][1160/4451] lr: 8.1562e-02 eta: 2:22:39 time: 0.3343 data_time: 0.0147 memory: 8510 grad_norm: 0.1572 loss: 0.0453 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.5478 recall@top3: 0.7210 prec@top3: 0.5507 recall@top5: 0.9855 prec@top5: 0.4522 loss_action_cls: 0.0453 2022/12/03 11:17:34 - mmengine - INFO - Epoch(train) [5][1180/4451] lr: 8.1493e-02 eta: 2:22:32 time: 0.3327 data_time: 0.0113 memory: 8510 grad_norm: 0.1510 loss: 0.0462 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6905 recall@top3: 0.7381 prec@top3: 0.5000 recall@top5: 0.9405 prec@top5: 0.3571 loss_action_cls: 0.0462 2022/12/03 11:17:39 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:17:40 - mmengine - INFO - Epoch(train) [5][1200/4451] lr: 8.1425e-02 eta: 2:22:25 time: 0.3350 data_time: 0.0116 memory: 8510 grad_norm: 0.1520 loss: 0.0436 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.9524 recall@top3: 0.8095 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.5619 loss_action_cls: 0.0436 2022/12/03 11:17:47 - mmengine - INFO - Epoch(train) [5][1220/4451] lr: 8.1356e-02 eta: 2:22:19 time: 0.3342 data_time: 0.0121 memory: 8510 grad_norm: 0.1436 loss: 0.0502 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.6310 recall@top3: 0.7937 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.3810 loss_action_cls: 0.0502 2022/12/03 11:17:54 - mmengine - INFO - Epoch(train) [5][1240/4451] lr: 8.1287e-02 eta: 2:22:12 time: 0.3338 data_time: 0.0123 memory: 8510 grad_norm: 0.1467 loss: 0.0462 recall@thr=0.5: 0.4972 prec@thr=0.5: 0.7500 recall@top3: 0.7306 prec@top3: 0.6389 recall@top5: 0.9347 prec@top5: 0.5083 loss_action_cls: 0.0462 2022/12/03 11:18:00 - mmengine - INFO - Epoch(train) [5][1260/4451] lr: 8.1218e-02 eta: 2:22:05 time: 0.3325 data_time: 0.0149 memory: 8510 grad_norm: 0.1426 loss: 0.0487 recall@thr=0.5: 0.8674 prec@thr=0.5: 0.8812 recall@top3: 0.8413 prec@top3: 0.6812 recall@top5: 0.9442 prec@top5: 0.4870 loss_action_cls: 0.0487 2022/12/03 11:18:07 - mmengine - INFO - Epoch(train) [5][1280/4451] lr: 8.1149e-02 eta: 2:21:58 time: 0.3347 data_time: 0.0124 memory: 8510 grad_norm: 0.1474 loss: 0.0458 recall@thr=0.5: 0.6494 prec@thr=0.5: 0.6379 recall@top3: 0.8448 prec@top3: 0.6437 recall@top5: 0.9626 prec@top5: 0.4483 loss_action_cls: 0.0458 2022/12/03 11:18:14 - mmengine - INFO - Epoch(train) [5][1300/4451] lr: 8.1080e-02 eta: 2:21:52 time: 0.3360 data_time: 0.0149 memory: 8510 grad_norm: 0.1408 loss: 0.0499 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.9216 recall@top3: 0.9804 prec@top3: 0.6078 recall@top5: 0.9804 prec@top5: 0.3647 loss_action_cls: 0.0499 2022/12/03 11:18:20 - mmengine - INFO - Epoch(train) [5][1320/4451] lr: 8.1011e-02 eta: 2:21:45 time: 0.3344 data_time: 0.0118 memory: 8510 grad_norm: 0.1465 loss: 0.0474 recall@thr=0.5: 0.6048 prec@thr=0.5: 0.6989 recall@top3: 0.8065 prec@top3: 0.5376 recall@top5: 0.9570 prec@top5: 0.3935 loss_action_cls: 0.0474 2022/12/03 11:18:27 - mmengine - INFO - Epoch(train) [5][1340/4451] lr: 8.0942e-02 eta: 2:21:38 time: 0.3338 data_time: 0.0169 memory: 8510 grad_norm: 0.1412 loss: 0.0505 recall@thr=0.5: 0.5870 prec@thr=0.5: 0.7685 recall@top3: 0.6639 prec@top3: 0.6296 recall@top5: 0.8852 prec@top5: 0.5333 loss_action_cls: 0.0505 2022/12/03 11:18:34 - mmengine - INFO - Epoch(train) [5][1360/4451] lr: 8.0873e-02 eta: 2:21:32 time: 0.3346 data_time: 0.0114 memory: 8510 grad_norm: 0.1487 loss: 0.0501 recall@thr=0.5: 0.6105 prec@thr=0.5: 0.7412 recall@top3: 0.7947 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4737 loss_action_cls: 0.0501 2022/12/03 11:18:41 - mmengine - INFO - Epoch(train) [5][1380/4451] lr: 8.0803e-02 eta: 2:21:25 time: 0.3348 data_time: 0.0119 memory: 8510 grad_norm: 0.1449 loss: 0.0452 recall@thr=0.5: 0.2692 prec@thr=0.5: 0.3077 recall@top3: 0.6026 prec@top3: 0.3590 recall@top5: 0.8462 prec@top5: 0.2923 loss_action_cls: 0.0452 2022/12/03 11:18:47 - mmengine - INFO - Epoch(train) [5][1400/4451] lr: 8.0734e-02 eta: 2:21:18 time: 0.3336 data_time: 0.0139 memory: 8510 grad_norm: 0.1446 loss: 0.0465 recall@thr=0.5: 0.8090 prec@thr=0.5: 0.8264 recall@top3: 0.8090 prec@top3: 0.7917 recall@top5: 0.9722 prec@top5: 0.5667 loss_action_cls: 0.0465 2022/12/03 11:18:54 - mmengine - INFO - Epoch(train) [5][1420/4451] lr: 8.0664e-02 eta: 2:21:11 time: 0.3365 data_time: 0.0133 memory: 8510 grad_norm: 0.1505 loss: 0.0468 recall@thr=0.5: 0.5536 prec@thr=0.5: 0.5417 recall@top3: 0.7560 prec@top3: 0.6429 recall@top5: 0.8929 prec@top5: 0.4429 loss_action_cls: 0.0468 2022/12/03 11:19:01 - mmengine - INFO - Epoch(train) [5][1440/4451] lr: 8.0594e-02 eta: 2:21:05 time: 0.3348 data_time: 0.0115 memory: 8510 grad_norm: 0.1516 loss: 0.0420 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6667 recall@top3: 0.7083 prec@top3: 0.6481 recall@top5: 0.9444 prec@top5: 0.5000 loss_action_cls: 0.0420 2022/12/03 11:19:07 - mmengine - INFO - Epoch(train) [5][1460/4451] lr: 8.0524e-02 eta: 2:20:58 time: 0.3330 data_time: 0.0139 memory: 8510 grad_norm: 0.1514 loss: 0.0469 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7311 recall@top3: 0.7879 prec@top3: 0.6212 recall@top5: 0.8636 prec@top5: 0.4091 loss_action_cls: 0.0469 2022/12/03 11:19:14 - mmengine - INFO - Epoch(train) [5][1480/4451] lr: 8.0454e-02 eta: 2:20:51 time: 0.3338 data_time: 0.0121 memory: 8510 grad_norm: 0.1454 loss: 0.0496 recall@thr=0.5: 0.1975 prec@thr=0.5: 0.3210 recall@top3: 0.6185 prec@top3: 0.3827 recall@top5: 0.8432 prec@top5: 0.3259 loss_action_cls: 0.0496 2022/12/03 11:19:21 - mmengine - INFO - Epoch(train) [5][1500/4451] lr: 8.0384e-02 eta: 2:20:45 time: 0.3351 data_time: 0.0124 memory: 8510 grad_norm: 0.1429 loss: 0.0447 recall@thr=0.5: 0.7592 prec@thr=0.5: 0.7583 recall@top3: 0.8592 prec@top3: 0.5333 recall@top5: 0.9375 prec@top5: 0.3700 loss_action_cls: 0.0447 2022/12/03 11:19:27 - mmengine - INFO - Epoch(train) [5][1520/4451] lr: 8.0314e-02 eta: 2:20:38 time: 0.3344 data_time: 0.0112 memory: 8510 grad_norm: 0.1432 loss: 0.0448 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7361 recall@top3: 0.8056 prec@top3: 0.5417 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0448 2022/12/03 11:19:34 - mmengine - INFO - Epoch(train) [5][1540/4451] lr: 8.0244e-02 eta: 2:20:31 time: 0.3333 data_time: 0.0130 memory: 8510 grad_norm: 0.1468 loss: 0.0443 recall@thr=0.5: 0.5942 prec@thr=0.5: 0.6739 recall@top3: 0.7101 prec@top3: 0.5652 recall@top5: 0.8696 prec@top5: 0.4174 loss_action_cls: 0.0443 2022/12/03 11:19:41 - mmengine - INFO - Epoch(train) [5][1560/4451] lr: 8.0174e-02 eta: 2:20:24 time: 0.3337 data_time: 0.0133 memory: 8510 grad_norm: 0.1581 loss: 0.0494 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.4833 recall@top3: 0.5889 prec@top3: 0.5333 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0494 2022/12/03 11:19:47 - mmengine - INFO - Epoch(train) [5][1580/4451] lr: 8.0103e-02 eta: 2:20:18 time: 0.3348 data_time: 0.0126 memory: 8510 grad_norm: 0.1490 loss: 0.0524 recall@thr=0.5: 0.4928 prec@thr=0.5: 0.6304 recall@top3: 0.8804 prec@top3: 0.5652 recall@top5: 0.9312 prec@top5: 0.3652 loss_action_cls: 0.0524 2022/12/03 11:19:54 - mmengine - INFO - Epoch(train) [5][1600/4451] lr: 8.0033e-02 eta: 2:20:11 time: 0.3360 data_time: 0.0112 memory: 8510 grad_norm: 0.1448 loss: 0.0467 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7963 recall@top3: 0.8194 prec@top3: 0.6852 recall@top5: 0.9167 prec@top5: 0.4778 loss_action_cls: 0.0467 2022/12/03 11:20:01 - mmengine - INFO - Epoch(train) [5][1620/4451] lr: 7.9962e-02 eta: 2:20:04 time: 0.3350 data_time: 0.0140 memory: 8510 grad_norm: 0.1462 loss: 0.0433 recall@thr=0.5: 0.5400 prec@thr=0.5: 0.5733 recall@top3: 0.5500 prec@top3: 0.4533 recall@top5: 0.8067 prec@top5: 0.4240 loss_action_cls: 0.0433 2022/12/03 11:20:07 - mmengine - INFO - Epoch(train) [5][1640/4451] lr: 7.9892e-02 eta: 2:19:58 time: 0.3350 data_time: 0.0142 memory: 8510 grad_norm: 0.1554 loss: 0.0475 recall@thr=0.5: 0.5598 prec@thr=0.5: 0.6006 recall@top3: 0.7092 prec@top3: 0.4713 recall@top5: 0.8770 prec@top5: 0.3517 loss_action_cls: 0.0475 2022/12/03 11:20:14 - mmengine - INFO - Epoch(train) [5][1660/4451] lr: 7.9821e-02 eta: 2:19:51 time: 0.3331 data_time: 0.0126 memory: 8510 grad_norm: 0.1476 loss: 0.0409 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.5417 recall@top3: 0.8333 prec@top3: 0.5208 recall@top5: 0.8958 prec@top5: 0.3375 loss_action_cls: 0.0409 2022/12/03 11:20:21 - mmengine - INFO - Epoch(train) [5][1680/4451] lr: 7.9750e-02 eta: 2:19:44 time: 0.3358 data_time: 0.0107 memory: 8510 grad_norm: 0.1441 loss: 0.0459 recall@thr=0.5: 0.6358 prec@thr=0.5: 0.6420 recall@top3: 0.7593 prec@top3: 0.5926 recall@top5: 0.9506 prec@top5: 0.4519 loss_action_cls: 0.0459 2022/12/03 11:20:28 - mmengine - INFO - Epoch(train) [5][1700/4451] lr: 7.9679e-02 eta: 2:19:38 time: 0.3368 data_time: 0.0118 memory: 8510 grad_norm: 0.1479 loss: 0.0470 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6212 recall@top3: 0.8182 prec@top3: 0.6970 recall@top5: 0.9848 prec@top5: 0.5273 loss_action_cls: 0.0470 2022/12/03 11:20:34 - mmengine - INFO - Epoch(train) [5][1720/4451] lr: 7.9608e-02 eta: 2:19:31 time: 0.3356 data_time: 0.0127 memory: 8510 grad_norm: 0.1523 loss: 0.0456 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.8125 recall@top3: 0.8417 prec@top3: 0.7833 recall@top5: 0.9875 prec@top5: 0.5300 loss_action_cls: 0.0456 2022/12/03 11:20:41 - mmengine - INFO - Epoch(train) [5][1740/4451] lr: 7.9537e-02 eta: 2:19:24 time: 0.3346 data_time: 0.0122 memory: 8510 grad_norm: 0.1532 loss: 0.0483 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.6587 recall@top3: 0.8810 prec@top3: 0.5714 recall@top5: 0.9286 prec@top5: 0.3619 loss_action_cls: 0.0483 2022/12/03 11:20:48 - mmengine - INFO - Epoch(train) [5][1760/4451] lr: 7.9466e-02 eta: 2:19:17 time: 0.3340 data_time: 0.0144 memory: 8510 grad_norm: 0.1421 loss: 0.0477 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6583 recall@top3: 0.7750 prec@top3: 0.6333 recall@top5: 0.8667 prec@top5: 0.4300 loss_action_cls: 0.0477 2022/12/03 11:20:54 - mmengine - INFO - Epoch(train) [5][1780/4451] lr: 7.9394e-02 eta: 2:19:11 time: 0.3342 data_time: 0.0117 memory: 8510 grad_norm: 0.1490 loss: 0.0541 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.5694 recall@top3: 0.7778 prec@top3: 0.3889 recall@top5: 0.9583 prec@top5: 0.3000 loss_action_cls: 0.0541 2022/12/03 11:21:01 - mmengine - INFO - Epoch(train) [5][1800/4451] lr: 7.9323e-02 eta: 2:19:04 time: 0.3343 data_time: 0.0120 memory: 8510 grad_norm: 0.1476 loss: 0.0470 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7348 recall@top3: 0.8182 prec@top3: 0.6364 recall@top5: 0.9242 prec@top5: 0.4091 loss_action_cls: 0.0470 2022/12/03 11:21:08 - mmengine - INFO - Epoch(train) [5][1820/4451] lr: 7.9251e-02 eta: 2:18:57 time: 0.3367 data_time: 0.0115 memory: 8510 grad_norm: 0.1515 loss: 0.0509 recall@thr=0.5: 0.6408 prec@thr=0.5: 0.8276 recall@top3: 0.7397 prec@top3: 0.7011 recall@top5: 0.8937 prec@top5: 0.5241 loss_action_cls: 0.0509 2022/12/03 11:21:14 - mmengine - INFO - Epoch(train) [5][1840/4451] lr: 7.9180e-02 eta: 2:18:51 time: 0.3339 data_time: 0.0124 memory: 8510 grad_norm: 0.1491 loss: 0.0435 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8182 recall@top3: 0.8788 prec@top3: 0.6515 recall@top5: 0.9848 prec@top5: 0.4455 loss_action_cls: 0.0435 2022/12/03 11:21:21 - mmengine - INFO - Epoch(train) [5][1860/4451] lr: 7.9108e-02 eta: 2:18:44 time: 0.3354 data_time: 0.0119 memory: 8510 grad_norm: 0.1423 loss: 0.0464 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6042 recall@top3: 0.8896 prec@top3: 0.5208 recall@top5: 0.9438 prec@top5: 0.3500 loss_action_cls: 0.0464 2022/12/03 11:21:28 - mmengine - INFO - Epoch(train) [5][1880/4451] lr: 7.9036e-02 eta: 2:18:37 time: 0.3351 data_time: 0.0131 memory: 8510 grad_norm: 0.1505 loss: 0.0532 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6667 recall@top3: 0.8194 prec@top3: 0.7222 recall@top5: 0.9792 prec@top5: 0.5167 loss_action_cls: 0.0532 2022/12/03 11:21:35 - mmengine - INFO - Epoch(train) [5][1900/4451] lr: 7.8964e-02 eta: 2:18:31 time: 0.3364 data_time: 0.0120 memory: 8510 grad_norm: 0.1467 loss: 0.0452 recall@thr=0.5: 0.5542 prec@thr=0.5: 0.6417 recall@top3: 0.7708 prec@top3: 0.6167 recall@top5: 0.8500 prec@top5: 0.4200 loss_action_cls: 0.0452 2022/12/03 11:21:41 - mmengine - INFO - Epoch(train) [5][1920/4451] lr: 7.8892e-02 eta: 2:18:24 time: 0.3337 data_time: 0.0142 memory: 8510 grad_norm: 0.1432 loss: 0.0450 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7500 recall@top3: 0.9643 prec@top3: 0.7619 recall@top5: 0.9643 prec@top5: 0.4571 loss_action_cls: 0.0450 2022/12/03 11:21:48 - mmengine - INFO - Epoch(train) [5][1940/4451] lr: 7.8820e-02 eta: 2:18:17 time: 0.3334 data_time: 0.0124 memory: 8510 grad_norm: 0.1454 loss: 0.0492 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5952 recall@top3: 0.7607 prec@top3: 0.5952 recall@top5: 0.8167 prec@top5: 0.4000 loss_action_cls: 0.0492 2022/12/03 11:21:55 - mmengine - INFO - Epoch(train) [5][1960/4451] lr: 7.8748e-02 eta: 2:18:10 time: 0.3343 data_time: 0.0127 memory: 8510 grad_norm: 0.1468 loss: 0.0456 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7407 recall@top3: 0.7870 prec@top3: 0.6296 recall@top5: 0.9074 prec@top5: 0.4556 loss_action_cls: 0.0456 2022/12/03 11:22:01 - mmengine - INFO - Epoch(train) [5][1980/4451] lr: 7.8676e-02 eta: 2:18:04 time: 0.3352 data_time: 0.0119 memory: 8510 grad_norm: 0.1438 loss: 0.0444 recall@thr=0.5: 0.6552 prec@thr=0.5: 0.5575 recall@top3: 0.9138 prec@top3: 0.6897 recall@top5: 0.9569 prec@top5: 0.4345 loss_action_cls: 0.0444 2022/12/03 11:22:08 - mmengine - INFO - Epoch(train) [5][2000/4451] lr: 7.8604e-02 eta: 2:17:57 time: 0.3349 data_time: 0.0126 memory: 8510 grad_norm: 0.1515 loss: 0.0449 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.6917 recall@top3: 0.7738 prec@top3: 0.5952 recall@top5: 0.9643 prec@top5: 0.4571 loss_action_cls: 0.0449 2022/12/03 11:22:15 - mmengine - INFO - Epoch(train) [5][2020/4451] lr: 7.8531e-02 eta: 2:17:50 time: 0.3334 data_time: 0.0122 memory: 8510 grad_norm: 0.1496 loss: 0.0482 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.9123 recall@top3: 0.7895 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.5368 loss_action_cls: 0.0482 2022/12/03 11:22:21 - mmengine - INFO - Epoch(train) [5][2040/4451] lr: 7.8459e-02 eta: 2:17:43 time: 0.3350 data_time: 0.0135 memory: 8510 grad_norm: 0.1461 loss: 0.0492 recall@thr=0.5: 0.5825 prec@thr=0.5: 0.7341 recall@top3: 0.6952 prec@top3: 0.6825 recall@top5: 0.9246 prec@top5: 0.5524 loss_action_cls: 0.0492 2022/12/03 11:22:28 - mmengine - INFO - Epoch(train) [5][2060/4451] lr: 7.8386e-02 eta: 2:17:37 time: 0.3351 data_time: 0.0160 memory: 8510 grad_norm: 0.1437 loss: 0.0449 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.6698 recall@top3: 0.7840 prec@top3: 0.5185 recall@top5: 0.9259 prec@top5: 0.3630 loss_action_cls: 0.0449 2022/12/03 11:22:35 - mmengine - INFO - Epoch(train) [5][2080/4451] lr: 7.8314e-02 eta: 2:17:30 time: 0.3353 data_time: 0.0156 memory: 8510 grad_norm: 0.1485 loss: 0.0501 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7843 recall@top3: 0.8235 prec@top3: 0.5294 recall@top5: 0.9118 prec@top5: 0.3647 loss_action_cls: 0.0501 2022/12/03 11:22:41 - mmengine - INFO - Epoch(train) [5][2100/4451] lr: 7.8241e-02 eta: 2:17:23 time: 0.3319 data_time: 0.0137 memory: 8510 grad_norm: 0.1421 loss: 0.0464 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.7391 recall@top3: 0.7841 prec@top3: 0.5217 recall@top5: 0.8884 prec@top5: 0.3652 loss_action_cls: 0.0464 2022/12/03 11:22:48 - mmengine - INFO - Epoch(train) [5][2120/4451] lr: 7.8168e-02 eta: 2:17:17 time: 0.3424 data_time: 0.0132 memory: 8510 grad_norm: 0.1506 loss: 0.0447 recall@thr=0.5: 0.4867 prec@thr=0.5: 0.7020 recall@top3: 0.7300 prec@top3: 0.5600 recall@top5: 0.8967 prec@top5: 0.4320 loss_action_cls: 0.0447 2022/12/03 11:22:55 - mmengine - INFO - Epoch(train) [5][2140/4451] lr: 7.8095e-02 eta: 2:17:10 time: 0.3340 data_time: 0.0128 memory: 8510 grad_norm: 0.1526 loss: 0.0460 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6583 recall@top3: 0.8250 prec@top3: 0.5000 recall@top5: 0.9500 prec@top5: 0.3600 loss_action_cls: 0.0460 2022/12/03 11:23:02 - mmengine - INFO - Epoch(train) [5][2160/4451] lr: 7.8022e-02 eta: 2:17:03 time: 0.3353 data_time: 0.0139 memory: 8510 grad_norm: 0.1459 loss: 0.0457 recall@thr=0.5: 0.5014 prec@thr=0.5: 0.5478 recall@top3: 0.7145 prec@top3: 0.6232 recall@top5: 0.9188 prec@top5: 0.4957 loss_action_cls: 0.0457 2022/12/03 11:23:08 - mmengine - INFO - Epoch(train) [5][2180/4451] lr: 7.7949e-02 eta: 2:16:57 time: 0.3359 data_time: 0.0117 memory: 8510 grad_norm: 0.1435 loss: 0.0539 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.7020 recall@top3: 0.5707 prec@top3: 0.5455 recall@top5: 0.7480 prec@top5: 0.4485 loss_action_cls: 0.0539 2022/12/03 11:23:14 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:23:15 - mmengine - INFO - Epoch(train) [5][2200/4451] lr: 7.7876e-02 eta: 2:16:50 time: 0.3348 data_time: 0.0142 memory: 8510 grad_norm: 0.1478 loss: 0.0455 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.5980 recall@top3: 0.6765 prec@top3: 0.4902 recall@top5: 0.9265 prec@top5: 0.3765 loss_action_cls: 0.0455 2022/12/03 11:23:22 - mmengine - INFO - Epoch(train) [5][2220/4451] lr: 7.7802e-02 eta: 2:16:43 time: 0.3333 data_time: 0.0124 memory: 8510 grad_norm: 0.1454 loss: 0.0492 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.6867 recall@top3: 0.6556 prec@top3: 0.4444 recall@top5: 0.8778 prec@top5: 0.3867 loss_action_cls: 0.0492 2022/12/03 11:23:29 - mmengine - INFO - Epoch(train) [5][2240/4451] lr: 7.7729e-02 eta: 2:16:37 time: 0.3361 data_time: 0.0127 memory: 8510 grad_norm: 0.1542 loss: 0.0456 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.5307 recall@top3: 0.8158 prec@top3: 0.5789 recall@top5: 0.9474 prec@top5: 0.4105 loss_action_cls: 0.0456 2022/12/03 11:23:35 - mmengine - INFO - Epoch(train) [5][2260/4451] lr: 7.7656e-02 eta: 2:16:30 time: 0.3343 data_time: 0.0130 memory: 8510 grad_norm: 0.1498 loss: 0.0419 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.9333 recall@top3: 0.9444 prec@top3: 0.7333 recall@top5: 0.9778 prec@top5: 0.4533 loss_action_cls: 0.0419 2022/12/03 11:23:42 - mmengine - INFO - Epoch(train) [5][2280/4451] lr: 7.7582e-02 eta: 2:16:23 time: 0.3370 data_time: 0.0116 memory: 8510 grad_norm: 0.1505 loss: 0.0481 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.5985 recall@top3: 0.7273 prec@top3: 0.5152 recall@top5: 0.9167 prec@top5: 0.3909 loss_action_cls: 0.0481 2022/12/03 11:23:49 - mmengine - INFO - Epoch(train) [5][2300/4451] lr: 7.7508e-02 eta: 2:16:16 time: 0.3346 data_time: 0.0122 memory: 8510 grad_norm: 0.1495 loss: 0.0462 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.7308 recall@top3: 0.8846 prec@top3: 0.4872 recall@top5: 0.8846 prec@top5: 0.2923 loss_action_cls: 0.0462 2022/12/03 11:23:55 - mmengine - INFO - Epoch(train) [5][2320/4451] lr: 7.7435e-02 eta: 2:16:10 time: 0.3357 data_time: 0.0121 memory: 8510 grad_norm: 0.1475 loss: 0.0438 recall@thr=0.5: 0.2632 prec@thr=0.5: 0.3596 recall@top3: 0.6316 prec@top3: 0.4211 recall@top5: 0.8684 prec@top5: 0.3684 loss_action_cls: 0.0438 2022/12/03 11:24:02 - mmengine - INFO - Epoch(train) [5][2340/4451] lr: 7.7361e-02 eta: 2:16:03 time: 0.3354 data_time: 0.0136 memory: 8510 grad_norm: 0.1543 loss: 0.0482 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.8202 recall@top3: 0.7061 prec@top3: 0.6140 recall@top5: 0.8860 prec@top5: 0.4737 loss_action_cls: 0.0482 2022/12/03 11:24:09 - mmengine - INFO - Epoch(train) [5][2360/4451] lr: 7.7287e-02 eta: 2:15:56 time: 0.3344 data_time: 0.0123 memory: 8510 grad_norm: 0.1481 loss: 0.0459 recall@thr=0.5: 0.3426 prec@thr=0.5: 0.7778 recall@top3: 0.6991 prec@top3: 0.6667 recall@top5: 0.8704 prec@top5: 0.5111 loss_action_cls: 0.0459 2022/12/03 11:24:15 - mmengine - INFO - Epoch(train) [5][2380/4451] lr: 7.7213e-02 eta: 2:15:50 time: 0.3346 data_time: 0.0141 memory: 8510 grad_norm: 0.1522 loss: 0.0402 recall@thr=0.5: 0.7962 prec@thr=0.5: 0.7981 recall@top3: 0.8442 prec@top3: 0.8333 recall@top5: 0.9673 prec@top5: 0.5846 loss_action_cls: 0.0402 2022/12/03 11:24:22 - mmengine - INFO - Epoch(train) [5][2400/4451] lr: 7.7139e-02 eta: 2:15:43 time: 0.3330 data_time: 0.0119 memory: 8510 grad_norm: 0.1546 loss: 0.0473 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.6551 recall@top3: 0.8526 prec@top3: 0.6154 recall@top5: 0.9551 prec@top5: 0.4231 loss_action_cls: 0.0473 2022/12/03 11:24:29 - mmengine - INFO - Epoch(train) [5][2420/4451] lr: 7.7065e-02 eta: 2:15:36 time: 0.3342 data_time: 0.0122 memory: 8510 grad_norm: 0.1470 loss: 0.0455 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7667 recall@top3: 0.8444 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.3333 loss_action_cls: 0.0455 2022/12/03 11:24:36 - mmengine - INFO - Epoch(train) [5][2440/4451] lr: 7.6991e-02 eta: 2:15:30 time: 0.3358 data_time: 0.0130 memory: 8510 grad_norm: 0.1489 loss: 0.0474 recall@thr=0.5: 0.7312 prec@thr=0.5: 0.8125 recall@top3: 0.8201 prec@top3: 0.6944 recall@top5: 0.9028 prec@top5: 0.4833 loss_action_cls: 0.0474 2022/12/03 11:24:42 - mmengine - INFO - Epoch(train) [5][2460/4451] lr: 7.6916e-02 eta: 2:15:23 time: 0.3333 data_time: 0.0123 memory: 8510 grad_norm: 0.1492 loss: 0.0456 recall@thr=0.5: 0.5083 prec@thr=0.5: 0.6417 recall@top3: 0.7917 prec@top3: 0.5667 recall@top5: 0.8917 prec@top5: 0.3800 loss_action_cls: 0.0456 2022/12/03 11:24:49 - mmengine - INFO - Epoch(train) [5][2480/4451] lr: 7.6842e-02 eta: 2:15:16 time: 0.3346 data_time: 0.0150 memory: 8510 grad_norm: 0.1532 loss: 0.0466 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.7101 recall@top3: 0.7464 prec@top3: 0.6522 recall@top5: 0.8696 prec@top5: 0.4696 loss_action_cls: 0.0466 2022/12/03 11:24:56 - mmengine - INFO - Epoch(train) [5][2500/4451] lr: 7.6767e-02 eta: 2:15:09 time: 0.3344 data_time: 0.0124 memory: 8510 grad_norm: 0.1494 loss: 0.0426 recall@thr=0.5: 0.6198 prec@thr=0.5: 0.6875 recall@top3: 0.7344 prec@top3: 0.4792 recall@top5: 0.9375 prec@top5: 0.3500 loss_action_cls: 0.0426 2022/12/03 11:25:02 - mmengine - INFO - Epoch(train) [5][2520/4451] lr: 7.6693e-02 eta: 2:15:03 time: 0.3418 data_time: 0.0121 memory: 8510 grad_norm: 0.1513 loss: 0.0512 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6184 recall@top3: 0.7061 prec@top3: 0.6667 recall@top5: 0.9035 prec@top5: 0.5158 loss_action_cls: 0.0512 2022/12/03 11:25:09 - mmengine - INFO - Epoch(train) [5][2540/4451] lr: 7.6618e-02 eta: 2:14:56 time: 0.3343 data_time: 0.0127 memory: 8510 grad_norm: 0.1491 loss: 0.0451 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.6250 recall@top3: 0.6894 prec@top3: 0.5758 recall@top5: 0.8939 prec@top5: 0.4636 loss_action_cls: 0.0451 2022/12/03 11:25:16 - mmengine - INFO - Epoch(train) [5][2560/4451] lr: 7.6543e-02 eta: 2:14:49 time: 0.3334 data_time: 0.0116 memory: 8510 grad_norm: 0.1505 loss: 0.0473 recall@thr=0.5: 0.5633 prec@thr=0.5: 0.6750 recall@top3: 0.7467 prec@top3: 0.5500 recall@top5: 0.7717 prec@top5: 0.3400 loss_action_cls: 0.0473 2022/12/03 11:25:22 - mmengine - INFO - Epoch(train) [5][2580/4451] lr: 7.6469e-02 eta: 2:14:43 time: 0.3335 data_time: 0.0138 memory: 8510 grad_norm: 0.1517 loss: 0.0451 recall@thr=0.5: 0.6048 prec@thr=0.5: 0.6349 recall@top3: 0.7333 prec@top3: 0.6349 recall@top5: 0.9095 prec@top5: 0.4857 loss_action_cls: 0.0451 2022/12/03 11:25:29 - mmengine - INFO - Epoch(train) [5][2600/4451] lr: 7.6394e-02 eta: 2:14:36 time: 0.3352 data_time: 0.0121 memory: 8510 grad_norm: 0.1454 loss: 0.0465 recall@thr=0.5: 0.3480 prec@thr=0.5: 0.4510 recall@top3: 0.5833 prec@top3: 0.4510 recall@top5: 0.6569 prec@top5: 0.2941 loss_action_cls: 0.0465 2022/12/03 11:25:36 - mmengine - INFO - Epoch(train) [5][2620/4451] lr: 7.6319e-02 eta: 2:14:29 time: 0.3351 data_time: 0.0137 memory: 8510 grad_norm: 0.1459 loss: 0.0470 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.4896 recall@top3: 0.7969 prec@top3: 0.5417 recall@top5: 0.9167 prec@top5: 0.3750 loss_action_cls: 0.0470 2022/12/03 11:25:42 - mmengine - INFO - Epoch(train) [5][2640/4451] lr: 7.6244e-02 eta: 2:14:22 time: 0.3320 data_time: 0.0125 memory: 8510 grad_norm: 0.1527 loss: 0.0420 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.8095 recall@top3: 0.8373 prec@top3: 0.7778 recall@top5: 0.9643 prec@top5: 0.5619 loss_action_cls: 0.0420 2022/12/03 11:25:49 - mmengine - INFO - Epoch(train) [5][2660/4451] lr: 7.6169e-02 eta: 2:14:16 time: 0.3352 data_time: 0.0116 memory: 8510 grad_norm: 0.1425 loss: 0.0506 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.6500 recall@top3: 0.6917 prec@top3: 0.5500 recall@top5: 0.7875 prec@top5: 0.3800 loss_action_cls: 0.0506 2022/12/03 11:25:56 - mmengine - INFO - Epoch(train) [5][2680/4451] lr: 7.6093e-02 eta: 2:14:09 time: 0.3345 data_time: 0.0115 memory: 8510 grad_norm: 0.1460 loss: 0.0427 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.8860 recall@top3: 0.9079 prec@top3: 0.7018 recall@top5: 0.9868 prec@top5: 0.4737 loss_action_cls: 0.0427 2022/12/03 11:26:03 - mmengine - INFO - Epoch(train) [5][2700/4451] lr: 7.6018e-02 eta: 2:14:02 time: 0.3345 data_time: 0.0126 memory: 8510 grad_norm: 0.1488 loss: 0.0428 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5208 recall@top3: 0.6632 prec@top3: 0.4861 recall@top5: 0.8854 prec@top5: 0.3917 loss_action_cls: 0.0428 2022/12/03 11:26:09 - mmengine - INFO - Epoch(train) [5][2720/4451] lr: 7.5943e-02 eta: 2:13:56 time: 0.3350 data_time: 0.0122 memory: 8510 grad_norm: 0.1485 loss: 0.0491 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.9000 recall@top3: 0.8944 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0491 2022/12/03 11:26:16 - mmengine - INFO - Epoch(train) [5][2740/4451] lr: 7.5867e-02 eta: 2:13:49 time: 0.3362 data_time: 0.0111 memory: 8510 grad_norm: 0.1465 loss: 0.0471 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6912 recall@top3: 0.8333 prec@top3: 0.5882 recall@top5: 0.8725 prec@top5: 0.3765 loss_action_cls: 0.0471 2022/12/03 11:26:23 - mmengine - INFO - Epoch(train) [5][2760/4451] lr: 7.5792e-02 eta: 2:13:42 time: 0.3340 data_time: 0.0138 memory: 8510 grad_norm: 0.1435 loss: 0.0490 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7451 recall@top3: 0.6667 prec@top3: 0.5294 recall@top5: 0.8039 prec@top5: 0.3765 loss_action_cls: 0.0490 2022/12/03 11:26:29 - mmengine - INFO - Epoch(train) [5][2780/4451] lr: 7.5716e-02 eta: 2:13:36 time: 0.3356 data_time: 0.0113 memory: 8510 grad_norm: 0.1512 loss: 0.0398 recall@thr=0.5: 0.5764 prec@thr=0.5: 0.5764 recall@top3: 0.8194 prec@top3: 0.5556 recall@top5: 0.9236 prec@top5: 0.3750 loss_action_cls: 0.0398 2022/12/03 11:26:36 - mmengine - INFO - Epoch(train) [5][2800/4451] lr: 7.5640e-02 eta: 2:13:29 time: 0.3339 data_time: 0.0149 memory: 8510 grad_norm: 0.1517 loss: 0.0434 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7381 recall@top3: 0.8611 prec@top3: 0.6508 recall@top5: 0.9524 prec@top5: 0.4381 loss_action_cls: 0.0434 2022/12/03 11:26:43 - mmengine - INFO - Epoch(train) [5][2820/4451] lr: 7.5565e-02 eta: 2:13:22 time: 0.3350 data_time: 0.0123 memory: 8510 grad_norm: 0.1520 loss: 0.0483 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6458 recall@top3: 0.6771 prec@top3: 0.3958 recall@top5: 0.9062 prec@top5: 0.3625 loss_action_cls: 0.0483 2022/12/03 11:26:49 - mmengine - INFO - Epoch(train) [5][2840/4451] lr: 7.5489e-02 eta: 2:13:15 time: 0.3343 data_time: 0.0112 memory: 8510 grad_norm: 0.1516 loss: 0.0528 recall@thr=0.5: 0.6014 prec@thr=0.5: 0.7174 recall@top3: 0.8478 prec@top3: 0.5652 recall@top5: 0.9130 prec@top5: 0.3739 loss_action_cls: 0.0528 2022/12/03 11:26:56 - mmengine - INFO - Epoch(train) [5][2860/4451] lr: 7.5413e-02 eta: 2:13:09 time: 0.3346 data_time: 0.0127 memory: 8510 grad_norm: 0.1421 loss: 0.0466 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.5952 recall@top3: 0.6667 prec@top3: 0.4048 recall@top5: 0.8810 prec@top5: 0.3000 loss_action_cls: 0.0466 2022/12/03 11:27:03 - mmengine - INFO - Epoch(train) [5][2880/4451] lr: 7.5337e-02 eta: 2:13:02 time: 0.3337 data_time: 0.0125 memory: 8510 grad_norm: 0.1471 loss: 0.0431 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.8125 recall@top3: 0.8031 prec@top3: 0.5417 recall@top5: 0.8938 prec@top5: 0.3750 loss_action_cls: 0.0431 2022/12/03 11:27:10 - mmengine - INFO - Epoch(train) [5][2900/4451] lr: 7.5261e-02 eta: 2:12:55 time: 0.3353 data_time: 0.0131 memory: 8510 grad_norm: 0.1437 loss: 0.0500 recall@thr=0.5: 0.5804 prec@thr=0.5: 0.6518 recall@top3: 0.7173 prec@top3: 0.5476 recall@top5: 0.8214 prec@top5: 0.3929 loss_action_cls: 0.0500 2022/12/03 11:27:16 - mmengine - INFO - Epoch(train) [5][2920/4451] lr: 7.5184e-02 eta: 2:12:49 time: 0.3369 data_time: 0.0123 memory: 8510 grad_norm: 0.1480 loss: 0.0445 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6316 recall@top3: 0.7456 prec@top3: 0.5965 recall@top5: 0.9035 prec@top5: 0.4421 loss_action_cls: 0.0445 2022/12/03 11:27:23 - mmengine - INFO - Epoch(train) [5][2940/4451] lr: 7.5108e-02 eta: 2:12:42 time: 0.3352 data_time: 0.0142 memory: 8510 grad_norm: 0.1531 loss: 0.0502 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.7083 recall@top3: 0.7176 prec@top3: 0.6111 recall@top5: 0.8889 prec@top5: 0.4778 loss_action_cls: 0.0502 2022/12/03 11:27:30 - mmengine - INFO - Epoch(train) [5][2960/4451] lr: 7.5032e-02 eta: 2:12:35 time: 0.3322 data_time: 0.0137 memory: 8510 grad_norm: 0.1508 loss: 0.0478 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.7500 recall@top3: 0.7857 prec@top3: 0.6429 recall@top5: 0.9405 prec@top5: 0.4714 loss_action_cls: 0.0478 2022/12/03 11:27:36 - mmengine - INFO - Epoch(train) [5][2980/4451] lr: 7.4955e-02 eta: 2:12:28 time: 0.3323 data_time: 0.0121 memory: 8510 grad_norm: 0.1484 loss: 0.0511 recall@thr=0.5: 0.6293 prec@thr=0.5: 0.6667 recall@top3: 0.8017 prec@top3: 0.7011 recall@top5: 0.9483 prec@top5: 0.4966 loss_action_cls: 0.0511 2022/12/03 11:27:43 - mmengine - INFO - Epoch(train) [5][3000/4451] lr: 7.4879e-02 eta: 2:12:22 time: 0.3351 data_time: 0.0117 memory: 8510 grad_norm: 0.1412 loss: 0.0474 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.7153 recall@top3: 0.7986 prec@top3: 0.6389 recall@top5: 0.9236 prec@top5: 0.4417 loss_action_cls: 0.0474 2022/12/03 11:27:50 - mmengine - INFO - Epoch(train) [5][3020/4451] lr: 7.4802e-02 eta: 2:12:15 time: 0.3354 data_time: 0.0126 memory: 8510 grad_norm: 0.1453 loss: 0.0505 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.6071 recall@top3: 0.7738 prec@top3: 0.4881 recall@top5: 0.8929 prec@top5: 0.3500 loss_action_cls: 0.0505 2022/12/03 11:27:56 - mmengine - INFO - Epoch(train) [5][3040/4451] lr: 7.4726e-02 eta: 2:12:08 time: 0.3337 data_time: 0.0111 memory: 8510 grad_norm: 0.1480 loss: 0.0460 recall@thr=0.5: 0.6983 prec@thr=0.5: 0.6293 recall@top3: 0.9138 prec@top3: 0.6437 recall@top5: 0.9770 prec@top5: 0.4138 loss_action_cls: 0.0460 2022/12/03 11:28:03 - mmengine - INFO - Epoch(train) [5][3060/4451] lr: 7.4649e-02 eta: 2:12:02 time: 0.3340 data_time: 0.0125 memory: 8510 grad_norm: 0.1514 loss: 0.0501 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.6042 recall@top3: 0.7500 prec@top3: 0.5625 recall@top5: 0.8438 prec@top5: 0.3875 loss_action_cls: 0.0501 2022/12/03 11:28:10 - mmengine - INFO - Epoch(train) [5][3080/4451] lr: 7.4572e-02 eta: 2:11:55 time: 0.3349 data_time: 0.0119 memory: 8510 grad_norm: 0.1454 loss: 0.0477 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7024 recall@top3: 0.7768 prec@top3: 0.6667 recall@top5: 0.8958 prec@top5: 0.4786 loss_action_cls: 0.0477 2022/12/03 11:28:16 - mmengine - INFO - Epoch(train) [5][3100/4451] lr: 7.4495e-02 eta: 2:11:48 time: 0.3332 data_time: 0.0161 memory: 8510 grad_norm: 0.1419 loss: 0.0465 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.8167 recall@top3: 0.7833 prec@top3: 0.6000 recall@top5: 0.9250 prec@top5: 0.4200 loss_action_cls: 0.0465 2022/12/03 11:28:23 - mmengine - INFO - Epoch(train) [5][3120/4451] lr: 7.4418e-02 eta: 2:11:41 time: 0.3345 data_time: 0.0114 memory: 8510 grad_norm: 0.1481 loss: 0.0502 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7308 recall@top3: 0.8365 prec@top3: 0.7051 recall@top5: 0.9135 prec@top5: 0.4769 loss_action_cls: 0.0502 2022/12/03 11:28:30 - mmengine - INFO - Epoch(train) [5][3140/4451] lr: 7.4341e-02 eta: 2:11:35 time: 0.3354 data_time: 0.0114 memory: 8510 grad_norm: 0.1532 loss: 0.0481 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5000 recall@top3: 0.7639 prec@top3: 0.4167 recall@top5: 0.7917 prec@top5: 0.2667 loss_action_cls: 0.0481 2022/12/03 11:28:36 - mmengine - INFO - Epoch(train) [5][3160/4451] lr: 7.4264e-02 eta: 2:11:28 time: 0.3341 data_time: 0.0111 memory: 8510 grad_norm: 0.1461 loss: 0.0515 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.8043 recall@top3: 0.6848 prec@top3: 0.7101 recall@top5: 0.8514 prec@top5: 0.5478 loss_action_cls: 0.0515 2022/12/03 11:28:43 - mmengine - INFO - Epoch(train) [5][3180/4451] lr: 7.4187e-02 eta: 2:11:21 time: 0.3333 data_time: 0.0144 memory: 8510 grad_norm: 0.1589 loss: 0.0455 recall@thr=0.5: 0.5395 prec@thr=0.5: 0.5833 recall@top3: 0.8114 prec@top3: 0.6316 recall@top5: 0.8728 prec@top5: 0.4105 loss_action_cls: 0.0455 2022/12/03 11:28:48 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:28:50 - mmengine - INFO - Epoch(train) [5][3200/4451] lr: 7.4110e-02 eta: 2:11:14 time: 0.3349 data_time: 0.0110 memory: 8510 grad_norm: 0.1474 loss: 0.0453 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.7368 recall@top3: 0.7982 prec@top3: 0.5439 recall@top5: 0.9035 prec@top5: 0.3789 loss_action_cls: 0.0453 2022/12/03 11:28:56 - mmengine - INFO - Epoch(train) [5][3220/4451] lr: 7.4032e-02 eta: 2:11:08 time: 0.3332 data_time: 0.0126 memory: 8510 grad_norm: 0.1517 loss: 0.0467 recall@thr=0.5: 0.6139 prec@thr=0.5: 0.7014 recall@top3: 0.7181 prec@top3: 0.5972 recall@top5: 0.8875 prec@top5: 0.4750 loss_action_cls: 0.0467 2022/12/03 11:29:03 - mmengine - INFO - Epoch(train) [5][3240/4451] lr: 7.3955e-02 eta: 2:11:01 time: 0.3320 data_time: 0.0142 memory: 8510 grad_norm: 0.1489 loss: 0.0458 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7063 recall@top3: 0.9206 prec@top3: 0.6508 recall@top5: 0.9841 prec@top5: 0.4190 loss_action_cls: 0.0458 2022/12/03 11:29:10 - mmengine - INFO - Epoch(train) [5][3260/4451] lr: 7.3878e-02 eta: 2:10:54 time: 0.3345 data_time: 0.0120 memory: 8510 grad_norm: 0.1508 loss: 0.0485 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.5292 recall@top3: 0.7146 prec@top3: 0.6528 recall@top5: 0.8813 prec@top5: 0.5083 loss_action_cls: 0.0485 2022/12/03 11:29:17 - mmengine - INFO - Epoch(train) [5][3280/4451] lr: 7.3800e-02 eta: 2:10:48 time: 0.3354 data_time: 0.0133 memory: 8510 grad_norm: 0.1482 loss: 0.0417 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7250 recall@top3: 0.8117 prec@top3: 0.7833 recall@top5: 0.9700 prec@top5: 0.5900 loss_action_cls: 0.0417 2022/12/03 11:29:23 - mmengine - INFO - Epoch(train) [5][3300/4451] lr: 7.3722e-02 eta: 2:10:41 time: 0.3357 data_time: 0.0138 memory: 8510 grad_norm: 0.1445 loss: 0.0489 recall@thr=0.5: 0.7660 prec@thr=0.5: 0.6647 recall@top3: 0.7788 prec@top3: 0.6026 recall@top5: 0.9712 prec@top5: 0.4462 loss_action_cls: 0.0489 2022/12/03 11:29:30 - mmengine - INFO - Epoch(train) [5][3320/4451] lr: 7.3645e-02 eta: 2:10:34 time: 0.3342 data_time: 0.0155 memory: 8510 grad_norm: 0.1511 loss: 0.0464 recall@thr=0.5: 0.6062 prec@thr=0.5: 0.7642 recall@top3: 0.7025 prec@top3: 0.7037 recall@top5: 0.9154 prec@top5: 0.5704 loss_action_cls: 0.0464 2022/12/03 11:29:37 - mmengine - INFO - Epoch(train) [5][3340/4451] lr: 7.3567e-02 eta: 2:10:27 time: 0.3335 data_time: 0.0128 memory: 8510 grad_norm: 0.1475 loss: 0.0459 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7572 recall@top3: 0.8623 prec@top3: 0.6087 recall@top5: 0.9493 prec@top5: 0.4174 loss_action_cls: 0.0459 2022/12/03 11:29:43 - mmengine - INFO - Epoch(train) [5][3360/4451] lr: 7.3489e-02 eta: 2:10:21 time: 0.3339 data_time: 0.0116 memory: 8510 grad_norm: 0.1484 loss: 0.0416 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7727 recall@top3: 0.8523 prec@top3: 0.5455 recall@top5: 0.9091 prec@top5: 0.3636 loss_action_cls: 0.0416 2022/12/03 11:29:50 - mmengine - INFO - Epoch(train) [5][3380/4451] lr: 7.3411e-02 eta: 2:10:14 time: 0.3338 data_time: 0.0130 memory: 8510 grad_norm: 0.1503 loss: 0.0460 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.7273 recall@top3: 0.7955 prec@top3: 0.5909 recall@top5: 0.8864 prec@top5: 0.4000 loss_action_cls: 0.0460 2022/12/03 11:29:57 - mmengine - INFO - Epoch(train) [5][3400/4451] lr: 7.3333e-02 eta: 2:10:07 time: 0.3352 data_time: 0.0106 memory: 8510 grad_norm: 0.1378 loss: 0.0492 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.7963 recall@top3: 0.9722 prec@top3: 0.5741 recall@top5: 0.9722 prec@top5: 0.3444 loss_action_cls: 0.0492 2022/12/03 11:30:03 - mmengine - INFO - Epoch(train) [5][3420/4451] lr: 7.3255e-02 eta: 2:10:01 time: 0.3331 data_time: 0.0138 memory: 8510 grad_norm: 0.1477 loss: 0.0460 recall@thr=0.5: 0.6567 prec@thr=0.5: 0.7333 recall@top3: 0.8633 prec@top3: 0.6667 recall@top5: 0.9200 prec@top5: 0.4320 loss_action_cls: 0.0460 2022/12/03 11:30:10 - mmengine - INFO - Epoch(train) [5][3440/4451] lr: 7.3177e-02 eta: 2:09:54 time: 0.3338 data_time: 0.0112 memory: 8510 grad_norm: 0.1513 loss: 0.0431 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.4561 recall@top3: 0.8076 prec@top3: 0.5303 recall@top5: 0.9455 prec@top5: 0.4182 loss_action_cls: 0.0431 2022/12/03 11:30:17 - mmengine - INFO - Epoch(train) [5][3460/4451] lr: 7.3099e-02 eta: 2:09:47 time: 0.3359 data_time: 0.0117 memory: 8510 grad_norm: 0.1437 loss: 0.0410 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.5263 recall@top3: 0.6754 prec@top3: 0.3860 recall@top5: 0.9386 prec@top5: 0.2842 loss_action_cls: 0.0410 2022/12/03 11:30:23 - mmengine - INFO - Epoch(train) [5][3480/4451] lr: 7.3020e-02 eta: 2:09:40 time: 0.3335 data_time: 0.0113 memory: 8510 grad_norm: 0.1475 loss: 0.0498 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.4778 recall@top3: 0.6819 prec@top3: 0.5417 recall@top5: 0.8167 prec@top5: 0.3917 loss_action_cls: 0.0498 2022/12/03 11:30:30 - mmengine - INFO - Epoch(train) [5][3500/4451] lr: 7.2942e-02 eta: 2:09:34 time: 0.3353 data_time: 0.0108 memory: 8510 grad_norm: 0.1496 loss: 0.0471 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.7333 recall@top3: 0.7667 prec@top3: 0.5867 recall@top5: 0.9800 prec@top5: 0.4640 loss_action_cls: 0.0471 2022/12/03 11:30:37 - mmengine - INFO - Epoch(train) [5][3520/4451] lr: 7.2864e-02 eta: 2:09:27 time: 0.3328 data_time: 0.0118 memory: 8510 grad_norm: 0.1396 loss: 0.0457 recall@thr=0.5: 0.5529 prec@thr=0.5: 0.8235 recall@top3: 0.8716 prec@top3: 0.6863 recall@top5: 0.9098 prec@top5: 0.4471 loss_action_cls: 0.0457 2022/12/03 11:30:43 - mmengine - INFO - Epoch(train) [5][3540/4451] lr: 7.2785e-02 eta: 2:09:20 time: 0.3356 data_time: 0.0122 memory: 8510 grad_norm: 0.1611 loss: 0.0470 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.6884 recall@top3: 0.6993 prec@top3: 0.6377 recall@top5: 0.7717 prec@top5: 0.4261 loss_action_cls: 0.0470 2022/12/03 11:30:50 - mmengine - INFO - Epoch(train) [5][3560/4451] lr: 7.2707e-02 eta: 2:09:14 time: 0.3355 data_time: 0.0107 memory: 8510 grad_norm: 0.1508 loss: 0.0443 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.6310 recall@top3: 0.7560 prec@top3: 0.5952 recall@top5: 0.8869 prec@top5: 0.4357 loss_action_cls: 0.0443 2022/12/03 11:30:57 - mmengine - INFO - Epoch(train) [5][3580/4451] lr: 7.2628e-02 eta: 2:09:07 time: 0.3358 data_time: 0.0139 memory: 8510 grad_norm: 0.1482 loss: 0.0458 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7302 recall@top3: 0.7381 prec@top3: 0.6349 recall@top5: 0.9286 prec@top5: 0.4857 loss_action_cls: 0.0458 2022/12/03 11:31:04 - mmengine - INFO - Epoch(train) [5][3600/4451] lr: 7.2549e-02 eta: 2:09:00 time: 0.3351 data_time: 0.0108 memory: 8510 grad_norm: 0.1498 loss: 0.0424 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7368 recall@top3: 0.8202 prec@top3: 0.6316 recall@top5: 0.9561 prec@top5: 0.4526 loss_action_cls: 0.0424 2022/12/03 11:31:10 - mmengine - INFO - Epoch(train) [5][3620/4451] lr: 7.2470e-02 eta: 2:08:54 time: 0.3355 data_time: 0.0138 memory: 8510 grad_norm: 0.1556 loss: 0.0465 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6400 recall@top3: 0.7000 prec@top3: 0.6133 recall@top5: 0.8933 prec@top5: 0.4640 loss_action_cls: 0.0465 2022/12/03 11:31:17 - mmengine - INFO - Epoch(train) [5][3640/4451] lr: 7.2392e-02 eta: 2:08:47 time: 0.3356 data_time: 0.0110 memory: 8510 grad_norm: 0.1476 loss: 0.0437 recall@thr=0.5: 0.6125 prec@thr=0.5: 0.6875 recall@top3: 0.7792 prec@top3: 0.6875 recall@top5: 0.8583 prec@top5: 0.4750 loss_action_cls: 0.0437 2022/12/03 11:31:24 - mmengine - INFO - Epoch(train) [5][3660/4451] lr: 7.2313e-02 eta: 2:08:40 time: 0.3352 data_time: 0.0115 memory: 8510 grad_norm: 0.1435 loss: 0.0465 recall@thr=0.5: 0.5076 prec@thr=0.5: 0.5631 recall@top3: 0.6414 prec@top3: 0.4848 recall@top5: 0.7929 prec@top5: 0.3818 loss_action_cls: 0.0465 2022/12/03 11:31:30 - mmengine - INFO - Epoch(train) [5][3680/4451] lr: 7.2234e-02 eta: 2:08:33 time: 0.3370 data_time: 0.0122 memory: 8510 grad_norm: 0.1545 loss: 0.0442 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7609 recall@top3: 0.9420 prec@top3: 0.7681 recall@top5: 0.9565 prec@top5: 0.4696 loss_action_cls: 0.0442 2022/12/03 11:31:37 - mmengine - INFO - Epoch(train) [5][3700/4451] lr: 7.2155e-02 eta: 2:08:27 time: 0.3350 data_time: 0.0131 memory: 8510 grad_norm: 0.1459 loss: 0.0497 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.5000 recall@top3: 0.6923 prec@top3: 0.4103 recall@top5: 0.7436 prec@top5: 0.2769 loss_action_cls: 0.0497 2022/12/03 11:31:44 - mmengine - INFO - Epoch(train) [5][3720/4451] lr: 7.2076e-02 eta: 2:08:20 time: 0.3353 data_time: 0.0130 memory: 8510 grad_norm: 0.1476 loss: 0.0437 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7407 recall@top3: 0.7407 prec@top3: 0.6852 recall@top5: 0.9167 prec@top5: 0.5222 loss_action_cls: 0.0437 2022/12/03 11:31:51 - mmengine - INFO - Epoch(train) [5][3740/4451] lr: 7.1996e-02 eta: 2:08:13 time: 0.3347 data_time: 0.0114 memory: 8510 grad_norm: 0.1417 loss: 0.0440 recall@thr=0.5: 0.5891 prec@thr=0.5: 0.6782 recall@top3: 0.7816 prec@top3: 0.5747 recall@top5: 0.8764 prec@top5: 0.3931 loss_action_cls: 0.0440 2022/12/03 11:31:57 - mmengine - INFO - Epoch(train) [5][3760/4451] lr: 7.1917e-02 eta: 2:08:07 time: 0.3350 data_time: 0.0123 memory: 8510 grad_norm: 0.1506 loss: 0.0480 recall@thr=0.5: 0.2778 prec@thr=0.5: 0.3472 recall@top3: 0.5417 prec@top3: 0.3333 recall@top5: 0.7500 prec@top5: 0.3167 loss_action_cls: 0.0480 2022/12/03 11:32:04 - mmengine - INFO - Epoch(train) [5][3780/4451] lr: 7.1838e-02 eta: 2:08:00 time: 0.3460 data_time: 0.0122 memory: 8510 grad_norm: 0.1531 loss: 0.0499 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.5895 recall@top3: 0.7500 prec@top3: 0.4561 recall@top5: 0.8553 prec@top5: 0.3263 loss_action_cls: 0.0499 2022/12/03 11:32:11 - mmengine - INFO - Epoch(train) [5][3800/4451] lr: 7.1758e-02 eta: 2:07:54 time: 0.3355 data_time: 0.0110 memory: 8510 grad_norm: 0.1569 loss: 0.0464 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.7024 recall@top3: 0.8929 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0464 2022/12/03 11:32:18 - mmengine - INFO - Epoch(train) [5][3820/4451] lr: 7.1679e-02 eta: 2:07:47 time: 0.3341 data_time: 0.0118 memory: 8510 grad_norm: 0.1434 loss: 0.0450 recall@thr=0.5: 0.7050 prec@thr=0.5: 0.6883 recall@top3: 0.7017 prec@top3: 0.6000 recall@top5: 0.9375 prec@top5: 0.5000 loss_action_cls: 0.0450 2022/12/03 11:32:24 - mmengine - INFO - Epoch(train) [5][3840/4451] lr: 7.1599e-02 eta: 2:07:40 time: 0.3348 data_time: 0.0121 memory: 8510 grad_norm: 0.1555 loss: 0.0492 recall@thr=0.5: 0.4133 prec@thr=0.5: 0.4733 recall@top3: 0.7467 prec@top3: 0.6133 recall@top5: 0.8667 prec@top5: 0.4400 loss_action_cls: 0.0492 2022/12/03 11:32:31 - mmengine - INFO - Epoch(train) [5][3860/4451] lr: 7.1520e-02 eta: 2:07:33 time: 0.3394 data_time: 0.0126 memory: 8510 grad_norm: 0.1472 loss: 0.0482 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.8158 recall@top3: 0.7149 prec@top3: 0.6491 recall@top5: 0.8421 prec@top5: 0.4737 loss_action_cls: 0.0482 2022/12/03 11:32:38 - mmengine - INFO - Epoch(train) [5][3880/4451] lr: 7.1440e-02 eta: 2:07:27 time: 0.3329 data_time: 0.0146 memory: 8510 grad_norm: 0.1500 loss: 0.0425 recall@thr=0.5: 0.7896 prec@thr=0.5: 0.8958 recall@top3: 0.8146 prec@top3: 0.6250 recall@top5: 0.9344 prec@top5: 0.4375 loss_action_cls: 0.0425 2022/12/03 11:32:44 - mmengine - INFO - Epoch(train) [5][3900/4451] lr: 7.1360e-02 eta: 2:07:20 time: 0.3348 data_time: 0.0115 memory: 8510 grad_norm: 0.1534 loss: 0.0417 recall@thr=0.5: 0.5035 prec@thr=0.5: 0.6842 recall@top3: 0.7614 prec@top3: 0.6491 recall@top5: 0.8912 prec@top5: 0.4842 loss_action_cls: 0.0417 2022/12/03 11:32:51 - mmengine - INFO - Epoch(train) [5][3920/4451] lr: 7.1281e-02 eta: 2:07:13 time: 0.3355 data_time: 0.0144 memory: 8510 grad_norm: 0.1505 loss: 0.0472 recall@thr=0.5: 0.5145 prec@thr=0.5: 0.5797 recall@top3: 0.7101 prec@top3: 0.6232 recall@top5: 0.9130 prec@top5: 0.4696 loss_action_cls: 0.0472 2022/12/03 11:32:58 - mmengine - INFO - Epoch(train) [5][3940/4451] lr: 7.1201e-02 eta: 2:07:07 time: 0.3358 data_time: 0.0109 memory: 8510 grad_norm: 0.1416 loss: 0.0477 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7531 recall@top3: 0.8457 prec@top3: 0.6173 recall@top5: 0.9815 prec@top5: 0.4593 loss_action_cls: 0.0477 2022/12/03 11:33:05 - mmengine - INFO - Epoch(train) [5][3960/4451] lr: 7.1121e-02 eta: 2:07:00 time: 0.3331 data_time: 0.0141 memory: 8510 grad_norm: 0.1531 loss: 0.0445 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.7500 recall@top3: 0.8317 prec@top3: 0.7556 recall@top5: 0.9283 prec@top5: 0.5200 loss_action_cls: 0.0445 2022/12/03 11:33:11 - mmengine - INFO - Epoch(train) [5][3980/4451] lr: 7.1041e-02 eta: 2:06:53 time: 0.3356 data_time: 0.0159 memory: 8510 grad_norm: 0.1474 loss: 0.0449 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6364 recall@top3: 0.7841 prec@top3: 0.6818 recall@top5: 0.9167 prec@top5: 0.5091 loss_action_cls: 0.0449 2022/12/03 11:33:18 - mmengine - INFO - Epoch(train) [5][4000/4451] lr: 7.0961e-02 eta: 2:06:47 time: 0.3352 data_time: 0.0113 memory: 8510 grad_norm: 0.1538 loss: 0.0417 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.7083 recall@top3: 0.7750 prec@top3: 0.7000 recall@top5: 0.8708 prec@top5: 0.4900 loss_action_cls: 0.0417 2022/12/03 11:33:25 - mmengine - INFO - Epoch(train) [5][4020/4451] lr: 7.0880e-02 eta: 2:06:40 time: 0.3349 data_time: 0.0133 memory: 8510 grad_norm: 0.1476 loss: 0.0460 recall@thr=0.5: 0.4060 prec@thr=0.5: 0.4345 recall@top3: 0.7464 prec@top3: 0.5238 recall@top5: 0.8679 prec@top5: 0.3714 loss_action_cls: 0.0460 2022/12/03 11:33:31 - mmengine - INFO - Epoch(train) [5][4040/4451] lr: 7.0800e-02 eta: 2:06:33 time: 0.3355 data_time: 0.0139 memory: 8510 grad_norm: 0.1520 loss: 0.0476 recall@thr=0.5: 0.3935 prec@thr=0.5: 0.5741 recall@top3: 0.6806 prec@top3: 0.7222 recall@top5: 0.7917 prec@top5: 0.5111 loss_action_cls: 0.0476 2022/12/03 11:33:38 - mmengine - INFO - Epoch(train) [5][4060/4451] lr: 7.0720e-02 eta: 2:06:26 time: 0.3330 data_time: 0.0124 memory: 8510 grad_norm: 0.1426 loss: 0.0438 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.6319 recall@top3: 0.8063 prec@top3: 0.5972 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0438 2022/12/03 11:33:45 - mmengine - INFO - Epoch(train) [5][4080/4451] lr: 7.0640e-02 eta: 2:06:20 time: 0.3340 data_time: 0.0119 memory: 8510 grad_norm: 0.1488 loss: 0.0479 recall@thr=0.5: 0.6951 prec@thr=0.5: 0.8137 recall@top3: 0.8147 prec@top3: 0.7549 recall@top5: 0.9221 prec@top5: 0.5235 loss_action_cls: 0.0479 2022/12/03 11:33:51 - mmengine - INFO - Epoch(train) [5][4100/4451] lr: 7.0559e-02 eta: 2:06:13 time: 0.3328 data_time: 0.0120 memory: 8510 grad_norm: 0.1495 loss: 0.0437 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8500 recall@top3: 0.9333 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0437 2022/12/03 11:33:58 - mmengine - INFO - Epoch(train) [5][4120/4451] lr: 7.0479e-02 eta: 2:06:06 time: 0.3348 data_time: 0.0114 memory: 8510 grad_norm: 0.1559 loss: 0.0465 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7417 recall@top3: 0.8833 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0465 2022/12/03 11:34:05 - mmengine - INFO - Epoch(train) [5][4140/4451] lr: 7.0398e-02 eta: 2:06:00 time: 0.3335 data_time: 0.0111 memory: 8510 grad_norm: 0.1538 loss: 0.0469 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.6961 recall@top3: 0.9020 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0469 2022/12/03 11:34:11 - mmengine - INFO - Epoch(train) [5][4160/4451] lr: 7.0318e-02 eta: 2:05:53 time: 0.3346 data_time: 0.0140 memory: 8510 grad_norm: 0.1471 loss: 0.0442 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8083 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0442 2022/12/03 11:34:18 - mmengine - INFO - Epoch(train) [5][4180/4451] lr: 7.0237e-02 eta: 2:05:46 time: 0.3353 data_time: 0.0119 memory: 8510 grad_norm: 0.1548 loss: 0.0466 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.8413 recall@top3: 0.8016 prec@top3: 0.6984 recall@top5: 0.9603 prec@top5: 0.5143 loss_action_cls: 0.0466 2022/12/03 11:34:23 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:34:25 - mmengine - INFO - Epoch(train) [5][4200/4451] lr: 7.0156e-02 eta: 2:05:39 time: 0.3357 data_time: 0.0130 memory: 8510 grad_norm: 0.1538 loss: 0.0465 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.6667 recall@top3: 0.8137 prec@top3: 0.5490 recall@top5: 0.8824 prec@top5: 0.3647 loss_action_cls: 0.0465 2022/12/03 11:34:32 - mmengine - INFO - Epoch(train) [5][4220/4451] lr: 7.0076e-02 eta: 2:05:33 time: 0.3349 data_time: 0.0131 memory: 8510 grad_norm: 0.1519 loss: 0.0445 recall@thr=0.5: 0.3929 prec@thr=0.5: 0.5714 recall@top3: 0.7143 prec@top3: 0.4286 recall@top5: 0.8214 prec@top5: 0.3000 loss_action_cls: 0.0445 2022/12/03 11:34:38 - mmengine - INFO - Epoch(train) [5][4240/4451] lr: 6.9995e-02 eta: 2:05:26 time: 0.3360 data_time: 0.0132 memory: 8510 grad_norm: 0.1483 loss: 0.0455 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6759 recall@top3: 0.7963 prec@top3: 0.5370 recall@top5: 0.8519 prec@top5: 0.3333 loss_action_cls: 0.0455 2022/12/03 11:34:45 - mmengine - INFO - Epoch(train) [5][4260/4451] lr: 6.9914e-02 eta: 2:05:19 time: 0.3338 data_time: 0.0112 memory: 8510 grad_norm: 0.1509 loss: 0.0472 recall@thr=0.5: 0.4787 prec@thr=0.5: 0.6389 recall@top3: 0.6639 prec@top3: 0.6296 recall@top5: 0.7056 prec@top5: 0.4111 loss_action_cls: 0.0472 2022/12/03 11:34:52 - mmengine - INFO - Epoch(train) [5][4280/4451] lr: 6.9833e-02 eta: 2:05:13 time: 0.3352 data_time: 0.0116 memory: 8510 grad_norm: 0.1497 loss: 0.0410 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.7160 recall@top3: 0.7531 prec@top3: 0.5926 recall@top5: 0.9383 prec@top5: 0.4519 loss_action_cls: 0.0410 2022/12/03 11:34:58 - mmengine - INFO - Epoch(train) [5][4300/4451] lr: 6.9752e-02 eta: 2:05:06 time: 0.3341 data_time: 0.0131 memory: 8510 grad_norm: 0.1561 loss: 0.0439 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.6860 recall@top3: 0.9035 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0439 2022/12/03 11:35:05 - mmengine - INFO - Epoch(train) [5][4320/4451] lr: 6.9671e-02 eta: 2:04:59 time: 0.3329 data_time: 0.0122 memory: 8510 grad_norm: 0.1537 loss: 0.0416 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.5439 recall@top3: 0.6930 prec@top3: 0.5614 recall@top5: 0.7719 prec@top5: 0.3789 loss_action_cls: 0.0416 2022/12/03 11:35:12 - mmengine - INFO - Epoch(train) [5][4340/4451] lr: 6.9590e-02 eta: 2:04:52 time: 0.3348 data_time: 0.0113 memory: 8510 grad_norm: 0.1468 loss: 0.0440 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.7667 recall@top3: 0.7667 prec@top3: 0.5556 recall@top5: 0.7889 prec@top5: 0.3467 loss_action_cls: 0.0440 2022/12/03 11:35:18 - mmengine - INFO - Epoch(train) [5][4360/4451] lr: 6.9508e-02 eta: 2:04:46 time: 0.3354 data_time: 0.0115 memory: 8510 grad_norm: 0.1566 loss: 0.0486 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6856 recall@top3: 0.7576 prec@top3: 0.6212 recall@top5: 0.9318 prec@top5: 0.4545 loss_action_cls: 0.0486 2022/12/03 11:35:25 - mmengine - INFO - Epoch(train) [5][4380/4451] lr: 6.9427e-02 eta: 2:04:39 time: 0.3344 data_time: 0.0148 memory: 8510 grad_norm: 0.1462 loss: 0.0408 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7222 recall@top3: 0.8889 prec@top3: 0.6349 recall@top5: 0.9603 prec@top5: 0.4190 loss_action_cls: 0.0408 2022/12/03 11:35:32 - mmengine - INFO - Epoch(train) [5][4400/4451] lr: 6.9346e-02 eta: 2:04:32 time: 0.3332 data_time: 0.0123 memory: 8510 grad_norm: 0.1500 loss: 0.0417 recall@thr=0.5: 0.8561 prec@thr=0.5: 0.8712 recall@top3: 0.8977 prec@top3: 0.6818 recall@top5: 0.9545 prec@top5: 0.4455 loss_action_cls: 0.0417 2022/12/03 11:35:38 - mmengine - INFO - Epoch(train) [5][4420/4451] lr: 6.9265e-02 eta: 2:04:26 time: 0.3348 data_time: 0.0132 memory: 8510 grad_norm: 0.1512 loss: 0.0448 recall@thr=0.5: 0.4967 prec@thr=0.5: 0.4840 recall@top3: 0.6533 prec@top3: 0.4667 recall@top5: 0.7967 prec@top5: 0.3600 loss_action_cls: 0.0448 2022/12/03 11:35:45 - mmengine - INFO - Epoch(train) [5][4440/4451] lr: 6.9183e-02 eta: 2:04:19 time: 0.3331 data_time: 0.0127 memory: 8510 grad_norm: 0.1505 loss: 0.0462 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8981 recall@top3: 0.7241 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0462 2022/12/03 11:35:49 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:35:49 - mmengine - INFO - Epoch(train) [5][4451/4451] lr: 6.9138e-02 eta: 2:04:15 time: 0.3288 data_time: 0.0113 memory: 8510 grad_norm: 0.1510 loss: 0.0452 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8333 recall@top3: 0.8611 prec@top3: 0.7593 recall@top5: 0.9630 prec@top5: 0.5111 loss_action_cls: 0.0452 2022/12/03 11:35:49 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/12/03 11:35:55 - mmengine - INFO - Epoch(val) [5][ 20/6282] eta: 0:06:48 time: 0.0652 data_time: 0.0235 memory: 662 2022/12/03 11:35:56 - mmengine - INFO - Epoch(val) [5][ 40/6282] eta: 0:05:50 time: 0.0472 data_time: 0.0053 memory: 662 2022/12/03 11:35:57 - mmengine - INFO - Epoch(val) [5][ 60/6282] eta: 0:05:35 time: 0.0494 data_time: 0.0088 memory: 662 2022/12/03 11:35:58 - mmengine - INFO - Epoch(val) [5][ 80/6282] eta: 0:05:28 time: 0.0499 data_time: 0.0069 memory: 662 2022/12/03 11:35:59 - mmengine - INFO - Epoch(val) [5][ 100/6282] eta: 0:05:24 time: 0.0509 data_time: 0.0074 memory: 662 2022/12/03 11:36:00 - mmengine - INFO - Epoch(val) [5][ 120/6282] eta: 0:05:30 time: 0.0589 data_time: 0.0111 memory: 733 2022/12/03 11:36:01 - mmengine - INFO - Epoch(val) [5][ 140/6282] eta: 0:05:30 time: 0.0554 data_time: 0.0082 memory: 733 2022/12/03 11:36:02 - mmengine - INFO - Epoch(val) [5][ 160/6282] eta: 0:05:35 time: 0.0610 data_time: 0.0095 memory: 733 2022/12/03 11:36:03 - mmengine - INFO - Epoch(val) [5][ 180/6282] eta: 0:05:33 time: 0.0547 data_time: 0.0086 memory: 733 2022/12/03 11:36:04 - mmengine - INFO - Epoch(val) [5][ 200/6282] eta: 0:05:34 time: 0.0583 data_time: 0.0113 memory: 733 2022/12/03 11:36:06 - mmengine - INFO - Epoch(val) [5][ 220/6282] eta: 0:05:31 time: 0.0499 data_time: 0.0086 memory: 674 2022/12/03 11:36:07 - mmengine - INFO - Epoch(val) [5][ 240/6282] eta: 0:05:27 time: 0.0501 data_time: 0.0080 memory: 674 2022/12/03 11:36:08 - mmengine - INFO - Epoch(val) [5][ 260/6282] eta: 0:05:27 time: 0.0563 data_time: 0.0124 memory: 674 2022/12/03 11:36:09 - mmengine - INFO - Epoch(val) [5][ 280/6282] eta: 0:05:26 time: 0.0539 data_time: 0.0085 memory: 674 2022/12/03 11:36:10 - mmengine - INFO - Epoch(val) [5][ 300/6282] eta: 0:05:25 time: 0.0541 data_time: 0.0097 memory: 733 2022/12/03 11:36:11 - mmengine - INFO - Epoch(val) [5][ 320/6282] eta: 0:05:26 time: 0.0613 data_time: 0.0086 memory: 733 2022/12/03 11:36:12 - mmengine - INFO - Epoch(val) [5][ 340/6282] eta: 0:05:26 time: 0.0568 data_time: 0.0064 memory: 733 2022/12/03 11:36:14 - mmengine - INFO - Epoch(val) [5][ 360/6282] eta: 0:05:29 time: 0.0670 data_time: 0.0151 memory: 733 2022/12/03 11:36:15 - mmengine - INFO - Epoch(val) [5][ 380/6282] eta: 0:05:27 time: 0.0536 data_time: 0.0068 memory: 733 2022/12/03 11:36:16 - mmengine - INFO - Epoch(val) [5][ 400/6282] eta: 0:05:27 time: 0.0586 data_time: 0.0087 memory: 733 2022/12/03 11:36:17 - mmengine - INFO - Epoch(val) [5][ 420/6282] eta: 0:05:25 time: 0.0535 data_time: 0.0099 memory: 679 2022/12/03 11:36:18 - mmengine - INFO - Epoch(val) [5][ 440/6282] eta: 0:05:24 time: 0.0547 data_time: 0.0090 memory: 679 2022/12/03 11:36:19 - mmengine - INFO - Epoch(val) [5][ 460/6282] eta: 0:05:22 time: 0.0554 data_time: 0.0105 memory: 679 2022/12/03 11:36:20 - mmengine - INFO - Epoch(val) [5][ 480/6282] eta: 0:05:21 time: 0.0542 data_time: 0.0080 memory: 679 2022/12/03 11:36:21 - mmengine - INFO - Epoch(val) [5][ 500/6282] eta: 0:05:20 time: 0.0546 data_time: 0.0071 memory: 679 2022/12/03 11:36:22 - mmengine - INFO - Epoch(val) [5][ 520/6282] eta: 0:05:19 time: 0.0550 data_time: 0.0102 memory: 674 2022/12/03 11:36:24 - mmengine - INFO - Epoch(val) [5][ 540/6282] eta: 0:05:19 time: 0.0615 data_time: 0.0173 memory: 674 2022/12/03 11:36:25 - mmengine - INFO - Epoch(val) [5][ 560/6282] eta: 0:05:17 time: 0.0548 data_time: 0.0124 memory: 674 2022/12/03 11:36:26 - mmengine - INFO - Epoch(val) [5][ 580/6282] eta: 0:05:16 time: 0.0550 data_time: 0.0105 memory: 674 2022/12/03 11:36:27 - mmengine - INFO - Epoch(val) [5][ 600/6282] eta: 0:05:14 time: 0.0505 data_time: 0.0073 memory: 674 2022/12/03 11:36:28 - mmengine - INFO - Epoch(val) [5][ 620/6282] eta: 0:05:12 time: 0.0506 data_time: 0.0084 memory: 674 2022/12/03 11:36:29 - mmengine - INFO - Epoch(val) [5][ 640/6282] eta: 0:05:11 time: 0.0525 data_time: 0.0087 memory: 670 2022/12/03 11:36:30 - mmengine - INFO - Epoch(val) [5][ 660/6282] eta: 0:05:08 time: 0.0480 data_time: 0.0054 memory: 670 2022/12/03 11:36:31 - mmengine - INFO - Epoch(val) [5][ 680/6282] eta: 0:05:06 time: 0.0493 data_time: 0.0054 memory: 670 2022/12/03 11:36:32 - mmengine - INFO - Epoch(val) [5][ 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time: 0.0542 data_time: 0.0105 memory: 674 2022/12/03 11:36:43 - mmengine - INFO - Epoch(val) [5][ 880/6282] eta: 0:05:03 time: 0.0551 data_time: 0.0107 memory: 674 2022/12/03 11:36:44 - mmengine - INFO - Epoch(val) [5][ 900/6282] eta: 0:05:01 time: 0.0531 data_time: 0.0074 memory: 674 2022/12/03 11:36:45 - mmengine - INFO - Epoch(val) [5][ 920/6282] eta: 0:05:00 time: 0.0531 data_time: 0.0075 memory: 674 2022/12/03 11:36:46 - mmengine - INFO - Epoch(val) [5][ 940/6282] eta: 0:04:58 time: 0.0514 data_time: 0.0074 memory: 662 2022/12/03 11:36:47 - mmengine - INFO - Epoch(val) [5][ 960/6282] eta: 0:04:57 time: 0.0554 data_time: 0.0077 memory: 662 2022/12/03 11:36:48 - mmengine - INFO - Epoch(val) [5][ 980/6282] eta: 0:04:56 time: 0.0537 data_time: 0.0064 memory: 662 2022/12/03 11:36:49 - mmengine - INFO - Epoch(val) [5][1000/6282] eta: 0:04:54 time: 0.0553 data_time: 0.0107 memory: 662 2022/12/03 11:36:51 - mmengine - INFO - Epoch(val) [5][1020/6282] eta: 0:04:53 time: 0.0522 data_time: 0.0098 memory: 674 2022/12/03 11:36:52 - mmengine - INFO - Epoch(val) [5][1040/6282] eta: 0:04:52 time: 0.0534 data_time: 0.0089 memory: 674 2022/12/03 11:36:53 - mmengine - INFO - Epoch(val) [5][1060/6282] eta: 0:04:50 time: 0.0542 data_time: 0.0113 memory: 674 2022/12/03 11:36:54 - mmengine - INFO - Epoch(val) [5][1080/6282] eta: 0:04:49 time: 0.0541 data_time: 0.0073 memory: 674 2022/12/03 11:36:55 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:04:48 time: 0.0554 data_time: 0.0070 memory: 674 2022/12/03 11:36:56 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:04:47 time: 0.0535 data_time: 0.0077 memory: 674 2022/12/03 11:36:57 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:04:45 time: 0.0553 data_time: 0.0105 memory: 674 2022/12/03 11:36:58 - mmengine - INFO - Epoch(val) [5][1160/6282] eta: 0:04:44 time: 0.0541 data_time: 0.0101 memory: 674 2022/12/03 11:36:59 - mmengine - INFO - Epoch(val) [5][1180/6282] eta: 0:04:43 time: 0.0521 data_time: 0.0072 memory: 674 2022/12/03 11:37:00 - mmengine - INFO - Epoch(val) [5][1200/6282] eta: 0:04:41 time: 0.0477 data_time: 0.0073 memory: 674 2022/12/03 11:37:01 - mmengine - INFO - Epoch(val) [5][1220/6282] eta: 0:04:40 time: 0.0525 data_time: 0.0102 memory: 674 2022/12/03 11:37:02 - mmengine - INFO - Epoch(val) [5][1240/6282] eta: 0:04:39 time: 0.0574 data_time: 0.0077 memory: 733 2022/12/03 11:37:04 - mmengine - INFO - Epoch(val) [5][1260/6282] eta: 0:04:38 time: 0.0577 data_time: 0.0085 memory: 733 2022/12/03 11:37:05 - mmengine - INFO - Epoch(val) [5][1280/6282] eta: 0:04:37 time: 0.0586 data_time: 0.0121 memory: 733 2022/12/03 11:37:06 - mmengine - INFO - Epoch(val) [5][1300/6282] eta: 0:04:37 time: 0.0651 data_time: 0.0180 memory: 733 2022/12/03 11:37:07 - mmengine - INFO - Epoch(val) [5][1320/6282] eta: 0:04:36 time: 0.0633 data_time: 0.0180 memory: 733 2022/12/03 11:37:08 - mmengine - INFO - Epoch(val) [5][1340/6282] eta: 0:04:35 time: 0.0589 data_time: 0.0125 memory: 733 2022/12/03 11:37:10 - mmengine - INFO - Epoch(val) [5][1360/6282] eta: 0:04:34 time: 0.0572 data_time: 0.0126 memory: 733 2022/12/03 11:37:11 - mmengine - INFO - Epoch(val) [5][1380/6282] eta: 0:04:34 time: 0.0648 data_time: 0.0198 memory: 733 2022/12/03 11:37:12 - mmengine - INFO - Epoch(val) [5][1400/6282] eta: 0:04:33 time: 0.0639 data_time: 0.0177 memory: 733 2022/12/03 11:37:14 - mmengine - INFO - Epoch(val) [5][1420/6282] eta: 0:04:33 time: 0.0687 data_time: 0.0225 memory: 733 2022/12/03 11:37:15 - mmengine - INFO - Epoch(val) [5][1440/6282] eta: 0:04:31 time: 0.0518 data_time: 0.0070 memory: 733 2022/12/03 11:37:16 - mmengine - INFO - Epoch(val) [5][1460/6282] eta: 0:04:30 time: 0.0551 data_time: 0.0063 memory: 733 2022/12/03 11:37:17 - mmengine - INFO - Epoch(val) [5][1480/6282] eta: 0:04:29 time: 0.0555 data_time: 0.0069 memory: 733 2022/12/03 11:37:18 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:04:28 time: 0.0540 data_time: 0.0070 memory: 733 2022/12/03 11:37:19 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:04:26 time: 0.0516 data_time: 0.0059 memory: 820 2022/12/03 11:37:20 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:04:25 time: 0.0573 data_time: 0.0068 memory: 820 2022/12/03 11:37:21 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:04:25 time: 0.0611 data_time: 0.0081 memory: 820 2022/12/03 11:37:23 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:04:24 time: 0.0606 data_time: 0.0077 memory: 820 2022/12/03 11:37:24 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:04:23 time: 0.0640 data_time: 0.0101 memory: 820 2022/12/03 11:37:25 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:04:22 time: 0.0601 data_time: 0.0072 memory: 820 2022/12/03 11:37:26 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:04:21 time: 0.0577 data_time: 0.0079 memory: 733 2022/12/03 11:37:27 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:04:20 time: 0.0556 data_time: 0.0049 memory: 733 2022/12/03 11:37:28 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:04:19 time: 0.0525 data_time: 0.0073 memory: 733 2022/12/03 11:37:29 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:04:17 time: 0.0563 data_time: 0.0075 memory: 733 2022/12/03 11:37:31 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:04:16 time: 0.0534 data_time: 0.0059 memory: 733 2022/12/03 11:37:32 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:04:15 time: 0.0562 data_time: 0.0078 memory: 733 2022/12/03 11:37:33 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:04:14 time: 0.0570 data_time: 0.0059 memory: 733 2022/12/03 11:37:34 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:04:13 time: 0.0532 data_time: 0.0064 memory: 733 2022/12/03 11:37:35 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:04:12 time: 0.0606 data_time: 0.0105 memory: 733 2022/12/03 11:37:36 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:04:11 time: 0.0549 data_time: 0.0071 memory: 733 2022/12/03 11:37:37 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:04:09 time: 0.0579 data_time: 0.0104 memory: 733 2022/12/03 11:37:39 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:04:08 time: 0.0579 data_time: 0.0116 memory: 733 2022/12/03 11:37:40 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:04:07 time: 0.0578 data_time: 0.0091 memory: 733 2022/12/03 11:37:41 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:04:07 time: 0.0624 data_time: 0.0094 memory: 733 2022/12/03 11:37:42 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:04:06 time: 0.0666 data_time: 0.0144 memory: 733 2022/12/03 11:37:44 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:04:05 time: 0.0669 data_time: 0.0168 memory: 733 2022/12/03 11:37:45 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:04:04 time: 0.0558 data_time: 0.0095 memory: 679 2022/12/03 11:37:46 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:04:03 time: 0.0540 data_time: 0.0100 memory: 679 2022/12/03 11:37:47 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:04:02 time: 0.0577 data_time: 0.0103 memory: 679 2022/12/03 11:37:48 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:04:00 time: 0.0538 data_time: 0.0072 memory: 679 2022/12/03 11:37:49 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:03:59 time: 0.0520 data_time: 0.0084 memory: 679 2022/12/03 11:37:50 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:03:58 time: 0.0549 data_time: 0.0068 memory: 679 2022/12/03 11:37:51 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:03:57 time: 0.0536 data_time: 0.0075 memory: 679 2022/12/03 11:37:52 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:03:55 time: 0.0500 data_time: 0.0072 memory: 679 2022/12/03 11:37:53 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:03:54 time: 0.0578 data_time: 0.0091 memory: 679 2022/12/03 11:37:55 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:03:53 time: 0.0572 data_time: 0.0095 memory: 679 2022/12/03 11:37:56 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:03:52 time: 0.0523 data_time: 0.0078 memory: 674 2022/12/03 11:37:57 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:03:50 time: 0.0487 data_time: 0.0076 memory: 674 2022/12/03 11:37:58 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:03:49 time: 0.0521 data_time: 0.0069 memory: 674 2022/12/03 11:37:59 - mmengine - INFO - Epoch(val) [5][2220/6282] eta: 0:03:48 time: 0.0527 data_time: 0.0061 memory: 674 2022/12/03 11:38:00 - mmengine - INFO - Epoch(val) [5][2240/6282] eta: 0:03:47 time: 0.0528 data_time: 0.0085 memory: 674 2022/12/03 11:38:01 - mmengine - INFO - Epoch(val) [5][2260/6282] eta: 0:03:45 time: 0.0526 data_time: 0.0079 memory: 679 2022/12/03 11:38:02 - mmengine - INFO - Epoch(val) [5][2280/6282] eta: 0:03:44 time: 0.0533 data_time: 0.0085 memory: 679 2022/12/03 11:38:03 - mmengine - INFO - Epoch(val) [5][2300/6282] eta: 0:03:43 time: 0.0504 data_time: 0.0067 memory: 679 2022/12/03 11:38:04 - mmengine - INFO - Epoch(val) [5][2320/6282] eta: 0:03:42 time: 0.0542 data_time: 0.0080 memory: 679 2022/12/03 11:38:05 - mmengine - INFO - Epoch(val) [5][2340/6282] eta: 0:03:40 time: 0.0511 data_time: 0.0081 memory: 679 2022/12/03 11:38:06 - mmengine - INFO - Epoch(val) [5][2360/6282] eta: 0:03:39 time: 0.0515 data_time: 0.0097 memory: 674 2022/12/03 11:38:07 - mmengine - INFO - Epoch(val) [5][2380/6282] eta: 0:03:38 time: 0.0525 data_time: 0.0085 memory: 674 2022/12/03 11:38:08 - mmengine - INFO - Epoch(val) [5][2400/6282] eta: 0:03:37 time: 0.0515 data_time: 0.0067 memory: 674 2022/12/03 11:38:09 - mmengine - INFO - Epoch(val) [5][2420/6282] eta: 0:03:35 time: 0.0516 data_time: 0.0090 memory: 674 2022/12/03 11:38:10 - mmengine - INFO - Epoch(val) [5][2440/6282] eta: 0:03:34 time: 0.0534 data_time: 0.0097 memory: 674 2022/12/03 11:38:11 - mmengine - INFO - Epoch(val) [5][2460/6282] eta: 0:03:33 time: 0.0596 data_time: 0.0100 memory: 733 2022/12/03 11:38:13 - mmengine - INFO - Epoch(val) [5][2480/6282] eta: 0:03:32 time: 0.0580 data_time: 0.0077 memory: 733 2022/12/03 11:38:14 - mmengine - INFO - Epoch(val) [5][2500/6282] eta: 0:03:31 time: 0.0560 data_time: 0.0072 memory: 733 2022/12/03 11:38:15 - mmengine - INFO - Epoch(val) [5][2520/6282] eta: 0:03:30 time: 0.0602 data_time: 0.0103 memory: 733 2022/12/03 11:38:16 - mmengine - INFO - Epoch(val) [5][2540/6282] eta: 0:03:29 time: 0.0597 data_time: 0.0091 memory: 733 2022/12/03 11:38:17 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:03:28 time: 0.0524 data_time: 0.0043 memory: 733 2022/12/03 11:38:18 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:03:27 time: 0.0541 data_time: 0.0088 memory: 733 2022/12/03 11:38:19 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:03:26 time: 0.0591 data_time: 0.0136 memory: 733 2022/12/03 11:38:21 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:03:25 time: 0.0618 data_time: 0.0159 memory: 733 2022/12/03 11:38:22 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:03:24 time: 0.0579 data_time: 0.0100 memory: 733 2022/12/03 11:38:23 - mmengine - INFO - Epoch(val) 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0:03:14 time: 0.0522 data_time: 0.0080 memory: 679 2022/12/03 11:38:33 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:03:13 time: 0.0500 data_time: 0.0063 memory: 679 2022/12/03 11:38:35 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:03:12 time: 0.0589 data_time: 0.0100 memory: 733 2022/12/03 11:38:36 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:03:11 time: 0.0562 data_time: 0.0089 memory: 733 2022/12/03 11:38:37 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:03:09 time: 0.0565 data_time: 0.0058 memory: 733 2022/12/03 11:38:38 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:03:08 time: 0.0521 data_time: 0.0090 memory: 733 2022/12/03 11:38:39 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:03:07 time: 0.0502 data_time: 0.0074 memory: 702 2022/12/03 11:38:40 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:03:06 time: 0.0520 data_time: 0.0085 memory: 702 2022/12/03 11:38:41 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:03:05 time: 0.0500 data_time: 0.0056 memory: 702 2022/12/03 11:38:42 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:03:03 time: 0.0535 data_time: 0.0102 memory: 702 2022/12/03 11:38:43 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:03:02 time: 0.0620 data_time: 0.0071 memory: 733 2022/12/03 11:38:44 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:03:01 time: 0.0597 data_time: 0.0095 memory: 733 2022/12/03 11:38:46 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:03:00 time: 0.0574 data_time: 0.0098 memory: 733 2022/12/03 11:38:47 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:02:59 time: 0.0558 data_time: 0.0070 memory: 733 2022/12/03 11:38:48 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:02:58 time: 0.0565 data_time: 0.0084 memory: 733 2022/12/03 11:38:49 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:02:57 time: 0.0516 data_time: 0.0071 memory: 679 2022/12/03 11:38:50 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:02:56 time: 0.0503 data_time: 0.0081 memory: 679 2022/12/03 11:38:51 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:02:54 time: 0.0534 data_time: 0.0095 memory: 679 2022/12/03 11:38:52 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:02:53 time: 0.0531 data_time: 0.0071 memory: 679 2022/12/03 11:38:53 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:02:52 time: 0.0522 data_time: 0.0080 memory: 733 2022/12/03 11:38:54 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:02:51 time: 0.0539 data_time: 0.0060 memory: 733 2022/12/03 11:38:55 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:02:50 time: 0.0534 data_time: 0.0085 memory: 733 2022/12/03 11:38:56 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:02:49 time: 0.0532 data_time: 0.0055 memory: 733 2022/12/03 11:38:57 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:02:47 time: 0.0563 data_time: 0.0080 memory: 733 2022/12/03 11:38:59 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:02:46 time: 0.0550 data_time: 0.0065 memory: 733 2022/12/03 11:39:00 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:02:45 time: 0.0556 data_time: 0.0086 memory: 733 2022/12/03 11:39:01 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:02:44 time: 0.0570 data_time: 0.0082 memory: 733 2022/12/03 11:39:02 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:02:43 time: 0.0577 data_time: 0.0090 memory: 733 2022/12/03 11:39:03 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:02:42 time: 0.0532 data_time: 0.0074 memory: 733 2022/12/03 11:39:04 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:02:41 time: 0.0542 data_time: 0.0098 memory: 674 2022/12/03 11:39:05 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:02:39 time: 0.0541 data_time: 0.0070 memory: 674 2022/12/03 11:39:06 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:02:38 time: 0.0530 data_time: 0.0104 memory: 674 2022/12/03 11:39:07 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:02:37 time: 0.0529 data_time: 0.0067 memory: 674 2022/12/03 11:39:08 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:02:36 time: 0.0525 data_time: 0.0082 memory: 674 2022/12/03 11:39:09 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:02:35 time: 0.0481 data_time: 0.0053 memory: 674 2022/12/03 11:39:10 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:02:34 time: 0.0520 data_time: 0.0061 memory: 674 2022/12/03 11:39:11 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:02:32 time: 0.0534 data_time: 0.0063 memory: 674 2022/12/03 11:39:13 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:02:31 time: 0.0536 data_time: 0.0080 memory: 674 2022/12/03 11:39:14 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:02:30 time: 0.0519 data_time: 0.0099 memory: 716 2022/12/03 11:39:15 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:02:29 time: 0.0557 data_time: 0.0117 memory: 716 2022/12/03 11:39:16 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:02:28 time: 0.0524 data_time: 0.0072 memory: 716 2022/12/03 11:39:17 - mmengine - INFO - Epoch(val) 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0:02:18 time: 0.0574 data_time: 0.0087 memory: 733 2022/12/03 11:39:27 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:02:17 time: 0.0570 data_time: 0.0109 memory: 733 2022/12/03 11:39:28 - mmengine - INFO - Epoch(val) [5][3840/6282] eta: 0:02:16 time: 0.0618 data_time: 0.0140 memory: 733 2022/12/03 11:39:30 - mmengine - INFO - Epoch(val) [5][3860/6282] eta: 0:02:15 time: 0.0609 data_time: 0.0127 memory: 733 2022/12/03 11:39:31 - mmengine - INFO - Epoch(val) [5][3880/6282] eta: 0:02:14 time: 0.0557 data_time: 0.0083 memory: 733 2022/12/03 11:39:32 - mmengine - INFO - Epoch(val) [5][3900/6282] eta: 0:02:12 time: 0.0585 data_time: 0.0089 memory: 733 2022/12/03 11:39:33 - mmengine - INFO - Epoch(val) [5][3920/6282] eta: 0:02:11 time: 0.0546 data_time: 0.0074 memory: 733 2022/12/03 11:39:34 - mmengine - INFO - Epoch(val) [5][3940/6282] eta: 0:02:10 time: 0.0573 data_time: 0.0096 memory: 733 2022/12/03 11:39:35 - mmengine - INFO - Epoch(val) [5][3960/6282] eta: 0:02:09 time: 0.0532 data_time: 0.0074 memory: 733 2022/12/03 11:39:36 - mmengine - INFO - Epoch(val) [5][3980/6282] eta: 0:02:08 time: 0.0495 data_time: 0.0060 memory: 733 2022/12/03 11:39:37 - mmengine - INFO - Epoch(val) [5][4000/6282] eta: 0:02:07 time: 0.0520 data_time: 0.0072 memory: 733 2022/12/03 11:39:38 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:02:06 time: 0.0514 data_time: 0.0067 memory: 733 2022/12/03 11:39:39 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:02:04 time: 0.0519 data_time: 0.0061 memory: 812 2022/12/03 11:39:40 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:02:03 time: 0.0624 data_time: 0.0089 memory: 812 2022/12/03 11:39:42 - mmengine - INFO - Epoch(val) [5][4080/6282] eta: 0:02:02 time: 0.0638 data_time: 0.0081 memory: 812 2022/12/03 11:39:43 - mmengine - INFO - Epoch(val) [5][4100/6282] eta: 0:02:01 time: 0.0619 data_time: 0.0075 memory: 812 2022/12/03 11:39:44 - mmengine - INFO - Epoch(val) [5][4120/6282] eta: 0:02:00 time: 0.0624 data_time: 0.0092 memory: 812 2022/12/03 11:39:45 - mmengine - INFO - Epoch(val) [5][4140/6282] eta: 0:01:59 time: 0.0566 data_time: 0.0058 memory: 812 2022/12/03 11:39:46 - mmengine - INFO - Epoch(val) [5][4160/6282] eta: 0:01:58 time: 0.0539 data_time: 0.0073 memory: 674 2022/12/03 11:39:48 - mmengine - INFO - Epoch(val) [5][4180/6282] eta: 0:01:57 time: 0.0529 data_time: 0.0064 memory: 674 2022/12/03 11:39:49 - mmengine - INFO - Epoch(val) [5][4200/6282] eta: 0:01:56 time: 0.0539 data_time: 0.0085 memory: 674 2022/12/03 11:39:50 - mmengine - INFO - Epoch(val) [5][4220/6282] eta: 0:01:55 time: 0.0509 data_time: 0.0062 memory: 674 2022/12/03 11:39:51 - mmengine - INFO - Epoch(val) [5][4240/6282] eta: 0:01:53 time: 0.0511 data_time: 0.0084 memory: 674 2022/12/03 11:39:52 - mmengine - INFO - Epoch(val) [5][4260/6282] eta: 0:01:52 time: 0.0491 data_time: 0.0053 memory: 673 2022/12/03 11:39:53 - mmengine - INFO - Epoch(val) [5][4280/6282] eta: 0:01:51 time: 0.0503 data_time: 0.0068 memory: 673 2022/12/03 11:39:54 - mmengine - INFO - Epoch(val) [5][4300/6282] eta: 0:01:50 time: 0.0508 data_time: 0.0080 memory: 673 2022/12/03 11:39:55 - mmengine - INFO - Epoch(val) [5][4320/6282] eta: 0:01:49 time: 0.0514 data_time: 0.0107 memory: 673 2022/12/03 11:39:56 - mmengine - INFO - Epoch(val) [5][4340/6282] eta: 0:01:48 time: 0.0517 data_time: 0.0063 memory: 673 2022/12/03 11:39:57 - mmengine - INFO - Epoch(val) [5][4360/6282] eta: 0:01:46 time: 0.0532 data_time: 0.0064 memory: 733 2022/12/03 11:39:58 - mmengine - INFO - Epoch(val) [5][4380/6282] eta: 0:01:45 time: 0.0553 data_time: 0.0099 memory: 733 2022/12/03 11:39:59 - mmengine - INFO - Epoch(val) [5][4400/6282] eta: 0:01:44 time: 0.0555 data_time: 0.0079 memory: 733 2022/12/03 11:40:00 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:01:43 time: 0.0522 data_time: 0.0066 memory: 733 2022/12/03 11:40:01 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:01:42 time: 0.0554 data_time: 0.0051 memory: 740 2022/12/03 11:40:02 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:01:41 time: 0.0567 data_time: 0.0083 memory: 740 2022/12/03 11:40:03 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:01:40 time: 0.0565 data_time: 0.0077 memory: 740 2022/12/03 11:40:05 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:01:39 time: 0.0577 data_time: 0.0088 memory: 740 2022/12/03 11:40:06 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:01:38 time: 0.0599 data_time: 0.0081 memory: 740 2022/12/03 11:40:07 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:36 time: 0.0489 data_time: 0.0105 memory: 679 2022/12/03 11:40:08 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:35 time: 0.0502 data_time: 0.0068 memory: 679 2022/12/03 11:40:09 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:34 time: 0.0516 data_time: 0.0068 memory: 679 2022/12/03 11:40:10 - mmengine - INFO - Epoch(val) [5][4600/6282] eta: 0:01:33 time: 0.0509 data_time: 0.0073 memory: 679 2022/12/03 11:40:11 - mmengine - INFO - Epoch(val) 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0:01:23 time: 0.0524 data_time: 0.0076 memory: 699 2022/12/03 11:40:21 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:22 time: 0.0521 data_time: 0.0094 memory: 699 2022/12/03 11:40:22 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:01:21 time: 0.0540 data_time: 0.0082 memory: 733 2022/12/03 11:40:23 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:20 time: 0.0572 data_time: 0.0101 memory: 733 2022/12/03 11:40:24 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:18 time: 0.0549 data_time: 0.0082 memory: 733 2022/12/03 11:40:25 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:01:17 time: 0.0569 data_time: 0.0066 memory: 733 2022/12/03 11:40:26 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:16 time: 0.0584 data_time: 0.0109 memory: 733 2022/12/03 11:40:28 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:15 time: 0.0560 data_time: 0.0081 memory: 736 2022/12/03 11:40:29 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:01:14 time: 0.0590 data_time: 0.0080 memory: 736 2022/12/03 11:40:30 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:13 time: 0.0559 data_time: 0.0066 memory: 736 2022/12/03 11:40:31 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:12 time: 0.0552 data_time: 0.0052 memory: 736 2022/12/03 11:40:32 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:01:11 time: 0.0600 data_time: 0.0082 memory: 736 2022/12/03 11:40:33 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:01:10 time: 0.0534 data_time: 0.0085 memory: 736 2022/12/03 11:40:34 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:01:09 time: 0.0534 data_time: 0.0092 memory: 679 2022/12/03 11:40:35 - mmengine - INFO - Epoch(val) [5][5060/6282] eta: 0:01:07 time: 0.0531 data_time: 0.0072 memory: 679 2022/12/03 11:40:37 - mmengine - INFO - Epoch(val) [5][5080/6282] eta: 0:01:06 time: 0.0561 data_time: 0.0087 memory: 679 2022/12/03 11:40:38 - mmengine - INFO - Epoch(val) [5][5100/6282] eta: 0:01:05 time: 0.0519 data_time: 0.0050 memory: 679 2022/12/03 11:40:39 - mmengine - INFO - Epoch(val) [5][5120/6282] eta: 0:01:04 time: 0.0546 data_time: 0.0098 memory: 679 2022/12/03 11:40:40 - mmengine - INFO - Epoch(val) [5][5140/6282] eta: 0:01:03 time: 0.0566 data_time: 0.0074 memory: 674 2022/12/03 11:40:41 - mmengine - INFO - Epoch(val) [5][5160/6282] eta: 0:01:02 time: 0.0524 data_time: 0.0059 memory: 674 2022/12/03 11:40:42 - mmengine - INFO - Epoch(val) [5][5180/6282] eta: 0:01:01 time: 0.0540 data_time: 0.0079 memory: 674 2022/12/03 11:40:43 - mmengine - INFO - Epoch(val) [5][5200/6282] eta: 0:01:00 time: 0.0523 data_time: 0.0090 memory: 674 2022/12/03 11:40:44 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:00:58 time: 0.0533 data_time: 0.0081 memory: 674 2022/12/03 11:40:45 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:00:57 time: 0.0524 data_time: 0.0055 memory: 673 2022/12/03 11:40:46 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:00:56 time: 0.0514 data_time: 0.0066 memory: 673 2022/12/03 11:40:47 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:00:55 time: 0.0505 data_time: 0.0065 memory: 673 2022/12/03 11:40:48 - mmengine - INFO - Epoch(val) [5][5300/6282] eta: 0:00:54 time: 0.0547 data_time: 0.0066 memory: 673 2022/12/03 11:40:49 - mmengine - INFO - Epoch(val) [5][5320/6282] eta: 0:00:53 time: 0.0514 data_time: 0.0091 memory: 674 2022/12/03 11:40:50 - mmengine - INFO - Epoch(val) [5][5340/6282] eta: 0:00:52 time: 0.0545 data_time: 0.0075 memory: 674 2022/12/03 11:40:51 - mmengine - INFO - Epoch(val) [5][5360/6282] eta: 0:00:51 time: 0.0528 data_time: 0.0066 memory: 674 2022/12/03 11:40:52 - mmengine - INFO - Epoch(val) [5][5380/6282] eta: 0:00:49 time: 0.0488 data_time: 0.0067 memory: 674 2022/12/03 11:40:54 - mmengine - INFO - Epoch(val) [5][5400/6282] eta: 0:00:48 time: 0.0532 data_time: 0.0084 memory: 674 2022/12/03 11:40:55 - mmengine - INFO - Epoch(val) [5][5420/6282] eta: 0:00:47 time: 0.0530 data_time: 0.0059 memory: 674 2022/12/03 11:40:56 - mmengine - INFO - Epoch(val) [5][5440/6282] eta: 0:00:46 time: 0.0556 data_time: 0.0088 memory: 674 2022/12/03 11:40:57 - mmengine - INFO - Epoch(val) [5][5460/6282] eta: 0:00:45 time: 0.0483 data_time: 0.0053 memory: 674 2022/12/03 11:40:58 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:00:44 time: 0.0500 data_time: 0.0063 memory: 674 2022/12/03 11:40:59 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:00:43 time: 0.0476 data_time: 0.0063 memory: 674 2022/12/03 11:41:00 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:42 time: 0.0547 data_time: 0.0077 memory: 695 2022/12/03 11:41:01 - mmengine - INFO - Epoch(val) [5][5540/6282] eta: 0:00:41 time: 0.0514 data_time: 0.0056 memory: 695 2022/12/03 11:41:02 - mmengine - INFO - Epoch(val) [5][5560/6282] eta: 0:00:39 time: 0.0548 data_time: 0.0077 memory: 695 2022/12/03 11:41:03 - mmengine - INFO - Epoch(val) [5][5580/6282] eta: 0:00:38 time: 0.0564 data_time: 0.0088 memory: 695 2022/12/03 11:41:04 - mmengine - INFO - Epoch(val) 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data_time: 0.0087 memory: 695 2022/12/03 11:41:22 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:18 time: 0.0512 data_time: 0.0098 memory: 674 2022/12/03 11:41:23 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:17 time: 0.0516 data_time: 0.0069 memory: 674 2022/12/03 11:41:24 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:16 time: 0.0510 data_time: 0.0079 memory: 674 2022/12/03 11:41:26 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:15 time: 0.0557 data_time: 0.0082 memory: 733 2022/12/03 11:41:27 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:14 time: 0.0529 data_time: 0.0062 memory: 733 2022/12/03 11:41:28 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:13 time: 0.0556 data_time: 0.0066 memory: 733 2022/12/03 11:41:29 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:12 time: 0.0528 data_time: 0.0071 memory: 733 2022/12/03 11:41:30 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:11 time: 0.0590 data_time: 0.0097 memory: 733 2022/12/03 11:41:31 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:10 time: 0.0567 data_time: 0.0082 memory: 733 2022/12/03 11:41:32 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:08 time: 0.0525 data_time: 0.0066 memory: 733 2022/12/03 11:41:33 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:07 time: 0.0573 data_time: 0.0087 memory: 733 2022/12/03 11:41:34 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:06 time: 0.0579 data_time: 0.0094 memory: 733 2022/12/03 11:41:36 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:05 time: 0.0524 data_time: 0.0075 memory: 733 2022/12/03 11:41:36 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:04 time: 0.0388 data_time: 0.0031 memory: 733 2022/12/03 11:41:37 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:03 time: 0.0400 data_time: 0.0038 memory: 733 2022/12/03 11:41:38 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:02 time: 0.0382 data_time: 0.0026 memory: 733 2022/12/03 11:41:39 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:01 time: 0.0355 data_time: 0.0021 memory: 733 2022/12/03 11:41:39 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0346 data_time: 0.0020 memory: 733 2022/12/03 11:46:48 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.2534 2022/12/03 11:46:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2022/12/03 11:46:50 - mmengine - INFO - The best checkpoint with 0.2534 mAP/mAP@0.5IOU at 5 epoch is saved to best_mAP/mAP@0.5IOU_epoch_5.pth. 2022/12/03 11:46:57 - mmengine - INFO - Epoch(train) [6][ 20/4451] lr: 6.9057e-02 eta: 2:04:09 time: 0.3739 data_time: 0.0475 memory: 8510 grad_norm: 0.1455 loss: 0.0427 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.5611 recall@top3: 0.7071 prec@top3: 0.5758 recall@top5: 0.9040 prec@top5: 0.4667 loss_action_cls: 0.0427 2022/12/03 11:47:04 - mmengine - INFO - Epoch(train) [6][ 40/4451] lr: 6.8975e-02 eta: 2:04:02 time: 0.3345 data_time: 0.0139 memory: 8510 grad_norm: 0.1520 loss: 0.0465 recall@thr=0.5: 0.3373 prec@thr=0.5: 0.4286 recall@top3: 0.6944 prec@top3: 0.6349 recall@top5: 0.7500 prec@top5: 0.4381 loss_action_cls: 0.0465 2022/12/03 11:47:11 - mmengine - INFO - Epoch(train) [6][ 60/4451] lr: 6.8893e-02 eta: 2:03:56 time: 0.3338 data_time: 0.0118 memory: 8510 grad_norm: 0.1508 loss: 0.0422 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6852 recall@top3: 0.8148 prec@top3: 0.5741 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0422 2022/12/03 11:47:17 - mmengine - INFO - Epoch(train) [6][ 80/4451] lr: 6.8812e-02 eta: 2:03:49 time: 0.3345 data_time: 0.0114 memory: 8510 grad_norm: 0.1481 loss: 0.0438 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.6833 recall@top3: 0.7600 prec@top3: 0.6833 recall@top5: 0.9300 prec@top5: 0.5100 loss_action_cls: 0.0438 2022/12/03 11:47:24 - mmengine - INFO - Epoch(train) [6][ 100/4451] lr: 6.8730e-02 eta: 2:03:42 time: 0.3343 data_time: 0.0119 memory: 8510 grad_norm: 0.1494 loss: 0.0408 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7302 recall@top3: 0.8413 prec@top3: 0.5873 recall@top5: 0.8889 prec@top5: 0.3810 loss_action_cls: 0.0408 2022/12/03 11:47:31 - mmengine - INFO - Epoch(train) [6][ 120/4451] lr: 6.8648e-02 eta: 2:03:36 time: 0.3345 data_time: 0.0134 memory: 8510 grad_norm: 0.1482 loss: 0.0468 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6250 recall@top3: 0.6667 prec@top3: 0.4306 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0468 2022/12/03 11:47:38 - mmengine - INFO - Epoch(train) [6][ 140/4451] lr: 6.8566e-02 eta: 2:03:29 time: 0.3331 data_time: 0.0127 memory: 8510 grad_norm: 0.1512 loss: 0.0505 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.7167 recall@top3: 0.7000 prec@top3: 0.5667 recall@top5: 0.7750 prec@top5: 0.3800 loss_action_cls: 0.0505 2022/12/03 11:47:44 - mmengine - INFO - Epoch(train) [6][ 160/4451] lr: 6.8484e-02 eta: 2:03:22 time: 0.3353 data_time: 0.0124 memory: 8510 grad_norm: 0.1588 loss: 0.0437 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.6382 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.9201 prec@top5: 0.4833 loss_action_cls: 0.0437 2022/12/03 11:47:51 - mmengine - INFO - Epoch(train) [6][ 180/4451] lr: 6.8402e-02 eta: 2:03:15 time: 0.3352 data_time: 0.0133 memory: 8510 grad_norm: 0.1495 loss: 0.0417 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7143 recall@top3: 1.0000 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0417 2022/12/03 11:47:58 - mmengine - INFO - Epoch(train) [6][ 200/4451] lr: 6.8320e-02 eta: 2:03:09 time: 0.3332 data_time: 0.0127 memory: 8510 grad_norm: 0.1510 loss: 0.0431 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7304 recall@top3: 0.7010 prec@top3: 0.7059 recall@top5: 0.8824 prec@top5: 0.5176 loss_action_cls: 0.0431 2022/12/03 11:48:04 - mmengine - INFO - Epoch(train) [6][ 220/4451] lr: 6.8238e-02 eta: 2:03:02 time: 0.3339 data_time: 0.0150 memory: 8510 grad_norm: 0.1459 loss: 0.0461 recall@thr=0.5: 0.7421 prec@thr=0.5: 0.8595 recall@top3: 0.8730 prec@top3: 0.7460 recall@top5: 0.9841 prec@top5: 0.5333 loss_action_cls: 0.0461 2022/12/03 11:48:11 - mmengine - INFO - Epoch(train) [6][ 240/4451] lr: 6.8156e-02 eta: 2:02:55 time: 0.3341 data_time: 0.0127 memory: 8510 grad_norm: 0.1527 loss: 0.0461 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.6067 recall@top3: 0.8200 prec@top3: 0.5467 recall@top5: 0.9600 prec@top5: 0.3840 loss_action_cls: 0.0461 2022/12/03 11:48:18 - mmengine - INFO - Epoch(train) [6][ 260/4451] lr: 6.8074e-02 eta: 2:02:49 time: 0.3356 data_time: 0.0131 memory: 8510 grad_norm: 0.1553 loss: 0.0388 recall@thr=0.5: 0.6615 prec@thr=0.5: 0.7943 recall@top3: 0.9089 prec@top3: 0.7187 recall@top5: 0.9323 prec@top5: 0.4500 loss_action_cls: 0.0388 2022/12/03 11:48:24 - mmengine - INFO - Epoch(train) [6][ 280/4451] lr: 6.7991e-02 eta: 2:02:42 time: 0.3350 data_time: 0.0118 memory: 8510 grad_norm: 0.1490 loss: 0.0456 recall@thr=0.5: 0.5147 prec@thr=0.5: 0.7108 recall@top3: 0.7059 prec@top3: 0.6078 recall@top5: 0.8431 prec@top5: 0.4471 loss_action_cls: 0.0456 2022/12/03 11:48:31 - mmengine - INFO - Epoch(train) [6][ 300/4451] lr: 6.7909e-02 eta: 2:02:35 time: 0.3336 data_time: 0.0115 memory: 8510 grad_norm: 0.1525 loss: 0.0424 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.6471 recall@top3: 0.8235 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0424 2022/12/03 11:48:38 - mmengine - INFO - Epoch(train) [6][ 320/4451] lr: 6.7827e-02 eta: 2:02:28 time: 0.3359 data_time: 0.0122 memory: 8510 grad_norm: 0.1477 loss: 0.0433 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.7000 recall@top3: 0.8467 prec@top3: 0.6933 recall@top5: 0.9467 prec@top5: 0.4720 loss_action_cls: 0.0433 2022/12/03 11:48:44 - mmengine - INFO - Epoch(train) [6][ 340/4451] lr: 6.7744e-02 eta: 2:02:22 time: 0.3347 data_time: 0.0126 memory: 8510 grad_norm: 0.1490 loss: 0.0450 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6429 recall@top3: 0.7794 prec@top3: 0.6032 recall@top5: 0.9603 prec@top5: 0.4762 loss_action_cls: 0.0450 2022/12/03 11:48:51 - mmengine - INFO - Epoch(train) [6][ 360/4451] lr: 6.7662e-02 eta: 2:02:15 time: 0.3370 data_time: 0.0136 memory: 8510 grad_norm: 0.1566 loss: 0.0420 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6481 recall@top3: 0.7824 prec@top3: 0.6481 recall@top5: 0.8796 prec@top5: 0.4556 loss_action_cls: 0.0420 2022/12/03 11:48:58 - mmengine - INFO - Epoch(train) [6][ 380/4451] lr: 6.7579e-02 eta: 2:02:08 time: 0.3333 data_time: 0.0141 memory: 8510 grad_norm: 0.1563 loss: 0.0447 recall@thr=0.5: 0.6059 prec@thr=0.5: 0.6667 recall@top3: 0.8353 prec@top3: 0.6471 recall@top5: 0.9176 prec@top5: 0.4471 loss_action_cls: 0.0447 2022/12/03 11:49:05 - mmengine - INFO - Epoch(train) [6][ 400/4451] lr: 6.7497e-02 eta: 2:02:02 time: 0.3372 data_time: 0.0111 memory: 8510 grad_norm: 0.1498 loss: 0.0389 recall@thr=0.5: 0.6362 prec@thr=0.5: 0.7529 recall@top3: 0.7397 prec@top3: 0.6207 recall@top5: 0.8563 prec@top5: 0.4552 loss_action_cls: 0.0389 2022/12/03 11:49:11 - mmengine - INFO - Epoch(train) [6][ 420/4451] lr: 6.7414e-02 eta: 2:01:55 time: 0.3350 data_time: 0.0155 memory: 8510 grad_norm: 0.1493 loss: 0.0469 recall@thr=0.5: 0.7212 prec@thr=0.5: 0.7821 recall@top3: 0.8590 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4538 loss_action_cls: 0.0469 2022/12/03 11:49:18 - mmengine - INFO - Epoch(train) [6][ 440/4451] lr: 6.7331e-02 eta: 2:01:48 time: 0.3332 data_time: 0.0114 memory: 8510 grad_norm: 0.1527 loss: 0.0415 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6333 recall@top3: 0.9000 prec@top3: 0.4444 recall@top5: 1.0000 prec@top5: 0.3200 loss_action_cls: 0.0415 2022/12/03 11:49:25 - mmengine - INFO - Epoch(train) [6][ 460/4451] lr: 6.7248e-02 eta: 2:01:42 time: 0.3344 data_time: 0.0113 memory: 8510 grad_norm: 0.1541 loss: 0.0412 recall@thr=0.5: 0.6630 prec@thr=0.5: 0.7284 recall@top3: 0.8290 prec@top3: 0.6049 recall@top5: 0.9272 prec@top5: 0.4370 loss_action_cls: 0.0412 2022/12/03 11:49:31 - mmengine - INFO - Epoch(train) [6][ 480/4451] lr: 6.7165e-02 eta: 2:01:35 time: 0.3347 data_time: 0.0136 memory: 8510 grad_norm: 0.1582 loss: 0.0443 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7843 recall@top3: 0.8137 prec@top3: 0.7059 recall@top5: 0.9608 prec@top5: 0.5176 loss_action_cls: 0.0443 2022/12/03 11:49:38 - mmengine - INFO - Epoch(train) [6][ 500/4451] lr: 6.7083e-02 eta: 2:01:28 time: 0.3341 data_time: 0.0111 memory: 8510 grad_norm: 0.1575 loss: 0.0484 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.6364 recall@top3: 0.8485 prec@top3: 0.5000 recall@top5: 0.9545 prec@top5: 0.3364 loss_action_cls: 0.0484 2022/12/03 11:49:45 - mmengine - INFO - Epoch(train) [6][ 520/4451] lr: 6.7000e-02 eta: 2:01:21 time: 0.3352 data_time: 0.0121 memory: 8510 grad_norm: 0.1544 loss: 0.0440 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6759 recall@top3: 0.7731 prec@top3: 0.5741 recall@top5: 0.9074 prec@top5: 0.4111 loss_action_cls: 0.0440 2022/12/03 11:49:52 - mmengine - INFO - Epoch(train) [6][ 540/4451] lr: 6.6917e-02 eta: 2:01:15 time: 0.3371 data_time: 0.0125 memory: 8510 grad_norm: 0.1537 loss: 0.0465 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7417 recall@top3: 0.7833 prec@top3: 0.5500 recall@top5: 1.0000 prec@top5: 0.4100 loss_action_cls: 0.0465 2022/12/03 11:49:58 - mmengine - INFO - Epoch(train) [6][ 560/4451] lr: 6.6834e-02 eta: 2:01:08 time: 0.3360 data_time: 0.0133 memory: 8510 grad_norm: 0.1528 loss: 0.0467 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.7143 recall@top3: 0.7619 prec@top3: 0.6349 recall@top5: 0.8532 prec@top5: 0.4381 loss_action_cls: 0.0467 2022/12/03 11:50:05 - mmengine - INFO - Epoch(train) [6][ 580/4451] lr: 6.6750e-02 eta: 2:01:01 time: 0.3334 data_time: 0.0110 memory: 8510 grad_norm: 0.1562 loss: 0.0495 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.7333 recall@top3: 0.8778 prec@top3: 0.5778 recall@top5: 0.9833 prec@top5: 0.3867 loss_action_cls: 0.0495 2022/12/03 11:50:12 - mmengine - INFO - Epoch(train) [6][ 600/4451] lr: 6.6667e-02 eta: 2:00:55 time: 0.3350 data_time: 0.0138 memory: 8510 grad_norm: 0.1549 loss: 0.0454 recall@thr=0.5: 0.5812 prec@thr=0.5: 0.6304 recall@top3: 0.7152 prec@top3: 0.5507 recall@top5: 0.9500 prec@top5: 0.4783 loss_action_cls: 0.0454 2022/12/03 11:50:18 - mmengine - INFO - Epoch(train) [6][ 620/4451] lr: 6.6584e-02 eta: 2:00:48 time: 0.3337 data_time: 0.0117 memory: 8510 grad_norm: 0.1513 loss: 0.0451 recall@thr=0.5: 0.8307 prec@thr=0.5: 0.8767 recall@top3: 0.8913 prec@top3: 0.7867 recall@top5: 0.9600 prec@top5: 0.5280 loss_action_cls: 0.0451 2022/12/03 11:50:25 - mmengine - INFO - Epoch(train) [6][ 640/4451] lr: 6.6501e-02 eta: 2:00:41 time: 0.3339 data_time: 0.0149 memory: 8510 grad_norm: 0.1608 loss: 0.0459 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7326 recall@top3: 0.8116 prec@top3: 0.7536 recall@top5: 1.0000 prec@top5: 0.5739 loss_action_cls: 0.0459 2022/12/03 11:50:32 - mmengine - INFO - Epoch(train) [6][ 660/4451] lr: 6.6418e-02 eta: 2:00:35 time: 0.3362 data_time: 0.0121 memory: 8510 grad_norm: 0.1618 loss: 0.0465 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7625 recall@top3: 0.7333 prec@top3: 0.6333 recall@top5: 0.9083 prec@top5: 0.4900 loss_action_cls: 0.0465 2022/12/03 11:50:38 - mmengine - INFO - Epoch(train) [6][ 680/4451] lr: 6.6334e-02 eta: 2:00:28 time: 0.3327 data_time: 0.0117 memory: 8510 grad_norm: 0.1444 loss: 0.0448 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.7719 recall@top3: 0.7675 prec@top3: 0.6316 recall@top5: 0.8816 prec@top5: 0.4526 loss_action_cls: 0.0448 2022/12/03 11:50:45 - mmengine - INFO - Epoch(train) [6][ 700/4451] lr: 6.6251e-02 eta: 2:00:21 time: 0.3342 data_time: 0.0128 memory: 8510 grad_norm: 0.1525 loss: 0.0435 recall@thr=0.5: 0.6895 prec@thr=0.5: 0.7368 recall@top3: 0.7728 prec@top3: 0.6140 recall@top5: 0.9281 prec@top5: 0.4632 loss_action_cls: 0.0435 2022/12/03 11:50:52 - mmengine - INFO - Epoch(train) [6][ 720/4451] lr: 6.6167e-02 eta: 2:00:14 time: 0.3365 data_time: 0.0125 memory: 8510 grad_norm: 0.1536 loss: 0.0445 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7955 recall@top3: 0.9205 prec@top3: 0.7727 recall@top5: 0.9659 prec@top5: 0.5000 loss_action_cls: 0.0445 2022/12/03 11:50:58 - mmengine - INFO - Epoch(train) [6][ 740/4451] lr: 6.6084e-02 eta: 2:00:08 time: 0.3360 data_time: 0.0127 memory: 8510 grad_norm: 0.1567 loss: 0.0474 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.6630 recall@top3: 0.7826 prec@top3: 0.6232 recall@top5: 0.9130 prec@top5: 0.4174 loss_action_cls: 0.0474 2022/12/03 11:51:00 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:51:05 - mmengine - INFO - Epoch(train) [6][ 760/4451] lr: 6.6000e-02 eta: 2:00:01 time: 0.3344 data_time: 0.0116 memory: 8510 grad_norm: 0.1531 loss: 0.0423 recall@thr=0.5: 0.5156 prec@thr=0.5: 0.8229 recall@top3: 0.8021 prec@top3: 0.7500 recall@top5: 0.9375 prec@top5: 0.5500 loss_action_cls: 0.0423 2022/12/03 11:51:12 - mmengine - INFO - Epoch(train) [6][ 780/4451] lr: 6.5917e-02 eta: 1:59:54 time: 0.3364 data_time: 0.0134 memory: 8510 grad_norm: 0.1479 loss: 0.0435 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8571 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0435 2022/12/03 11:51:19 - mmengine - INFO - Epoch(train) [6][ 800/4451] lr: 6.5833e-02 eta: 1:59:48 time: 0.3344 data_time: 0.0114 memory: 8510 grad_norm: 0.1605 loss: 0.0427 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.8667 recall@top3: 0.8778 prec@top3: 0.7556 recall@top5: 0.9667 prec@top5: 0.4933 loss_action_cls: 0.0427 2022/12/03 11:51:25 - mmengine - INFO - Epoch(train) [6][ 820/4451] lr: 6.5749e-02 eta: 1:59:41 time: 0.3359 data_time: 0.0112 memory: 8510 grad_norm: 0.1531 loss: 0.0465 recall@thr=0.5: 0.5224 prec@thr=0.5: 0.7564 recall@top3: 0.7314 prec@top3: 0.7051 recall@top5: 0.9026 prec@top5: 0.5385 loss_action_cls: 0.0465 2022/12/03 11:51:32 - mmengine - INFO - Epoch(train) [6][ 840/4451] lr: 6.5665e-02 eta: 1:59:34 time: 0.3352 data_time: 0.0154 memory: 8510 grad_norm: 0.1468 loss: 0.0381 recall@thr=0.5: 0.5911 prec@thr=0.5: 0.6849 recall@top3: 0.7318 prec@top3: 0.6354 recall@top5: 0.9245 prec@top5: 0.4625 loss_action_cls: 0.0381 2022/12/03 11:51:39 - mmengine - INFO - Epoch(train) [6][ 860/4451] lr: 6.5582e-02 eta: 1:59:28 time: 0.3365 data_time: 0.0116 memory: 8510 grad_norm: 0.1606 loss: 0.0467 recall@thr=0.5: 0.5449 prec@thr=0.5: 0.6763 recall@top3: 0.7821 prec@top3: 0.4872 recall@top5: 0.9423 prec@top5: 0.3769 loss_action_cls: 0.0467 2022/12/03 11:51:45 - mmengine - INFO - Epoch(train) [6][ 880/4451] lr: 6.5498e-02 eta: 1:59:21 time: 0.3350 data_time: 0.0142 memory: 8510 grad_norm: 0.1552 loss: 0.0481 recall@thr=0.5: 0.3690 prec@thr=0.5: 0.3929 recall@top3: 0.6190 prec@top3: 0.4286 recall@top5: 0.8214 prec@top5: 0.3571 loss_action_cls: 0.0481 2022/12/03 11:51:52 - mmengine - INFO - Epoch(train) [6][ 900/4451] lr: 6.5414e-02 eta: 1:59:14 time: 0.3361 data_time: 0.0146 memory: 8510 grad_norm: 0.1527 loss: 0.0430 recall@thr=0.5: 0.6933 prec@thr=0.5: 0.9333 recall@top3: 0.7733 prec@top3: 0.8267 recall@top5: 0.9167 prec@top5: 0.6000 loss_action_cls: 0.0430 2022/12/03 11:51:59 - mmengine - INFO - Epoch(train) [6][ 920/4451] lr: 6.5330e-02 eta: 1:59:07 time: 0.3341 data_time: 0.0124 memory: 8510 grad_norm: 0.1564 loss: 0.0459 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.7604 recall@top3: 0.8229 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0459 2022/12/03 11:52:06 - mmengine - INFO - Epoch(train) [6][ 940/4451] lr: 6.5246e-02 eta: 1:59:01 time: 0.3335 data_time: 0.0128 memory: 8510 grad_norm: 0.1506 loss: 0.0412 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7500 recall@top3: 0.7949 prec@top3: 0.7564 recall@top5: 0.9615 prec@top5: 0.5385 loss_action_cls: 0.0412 2022/12/03 11:52:12 - mmengine - INFO - Epoch(train) [6][ 960/4451] lr: 6.5162e-02 eta: 1:58:54 time: 0.3329 data_time: 0.0133 memory: 8510 grad_norm: 0.1611 loss: 0.0472 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.8333 recall@top3: 0.9524 prec@top3: 0.6349 recall@top5: 0.9683 prec@top5: 0.3905 loss_action_cls: 0.0472 2022/12/03 11:52:19 - mmengine - INFO - Epoch(train) [6][ 980/4451] lr: 6.5078e-02 eta: 1:58:47 time: 0.3361 data_time: 0.0142 memory: 8510 grad_norm: 0.1534 loss: 0.0450 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7692 recall@top3: 0.8077 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0450 2022/12/03 11:52:26 - mmengine - INFO - Epoch(train) [6][1000/4451] lr: 6.4994e-02 eta: 1:58:41 time: 0.3368 data_time: 0.0132 memory: 8510 grad_norm: 0.1536 loss: 0.0447 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.8590 recall@top3: 0.9487 prec@top3: 0.6923 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0447 2022/12/03 11:52:32 - mmengine - INFO - Epoch(train) [6][1020/4451] lr: 6.4909e-02 eta: 1:58:34 time: 0.3329 data_time: 0.0116 memory: 8510 grad_norm: 0.1581 loss: 0.0450 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7083 recall@top3: 0.8718 prec@top3: 0.6154 recall@top5: 0.9006 prec@top5: 0.3846 loss_action_cls: 0.0450 2022/12/03 11:52:39 - mmengine - INFO - Epoch(train) [6][1040/4451] lr: 6.4825e-02 eta: 1:58:27 time: 0.3339 data_time: 0.0124 memory: 8510 grad_norm: 0.1535 loss: 0.0459 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5516 recall@top3: 0.8214 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0459 2022/12/03 11:52:46 - mmengine - INFO - Epoch(train) [6][1060/4451] lr: 6.4741e-02 eta: 1:58:20 time: 0.3343 data_time: 0.0127 memory: 8510 grad_norm: 0.1500 loss: 0.0445 recall@thr=0.5: 0.7588 prec@thr=0.5: 0.8904 recall@top3: 0.8465 prec@top3: 0.7544 recall@top5: 0.9605 prec@top5: 0.5158 loss_action_cls: 0.0445 2022/12/03 11:52:52 - mmengine - INFO - Epoch(train) [6][1080/4451] lr: 6.4657e-02 eta: 1:58:14 time: 0.3349 data_time: 0.0143 memory: 8510 grad_norm: 0.1564 loss: 0.0460 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.3875 recall@top3: 0.5500 prec@top3: 0.3833 recall@top5: 0.6750 prec@top5: 0.2700 loss_action_cls: 0.0460 2022/12/03 11:52:59 - mmengine - INFO - Epoch(train) [6][1100/4451] lr: 6.4572e-02 eta: 1:58:07 time: 0.3337 data_time: 0.0122 memory: 8510 grad_norm: 0.1529 loss: 0.0492 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7255 recall@top3: 0.8039 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0492 2022/12/03 11:53:06 - mmengine - INFO - Epoch(train) [6][1120/4451] lr: 6.4488e-02 eta: 1:58:00 time: 0.3341 data_time: 0.0112 memory: 8510 grad_norm: 0.1521 loss: 0.0435 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7143 recall@top3: 0.7738 prec@top3: 0.5952 recall@top5: 0.9167 prec@top5: 0.4286 loss_action_cls: 0.0435 2022/12/03 11:53:12 - mmengine - INFO - Epoch(train) [6][1140/4451] lr: 6.4403e-02 eta: 1:57:54 time: 0.3371 data_time: 0.0128 memory: 8510 grad_norm: 0.1578 loss: 0.0422 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7717 recall@top3: 0.8188 prec@top3: 0.6522 recall@top5: 0.9275 prec@top5: 0.4609 loss_action_cls: 0.0422 2022/12/03 11:53:19 - mmengine - INFO - Epoch(train) [6][1160/4451] lr: 6.4319e-02 eta: 1:57:47 time: 0.3344 data_time: 0.0124 memory: 8510 grad_norm: 0.1549 loss: 0.0419 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6765 recall@top3: 0.8235 prec@top3: 0.5490 recall@top5: 0.8824 prec@top5: 0.3529 loss_action_cls: 0.0419 2022/12/03 11:53:26 - mmengine - INFO - Epoch(train) [6][1180/4451] lr: 6.4234e-02 eta: 1:57:40 time: 0.3352 data_time: 0.0123 memory: 8510 grad_norm: 0.1574 loss: 0.0419 recall@thr=0.5: 0.6151 prec@thr=0.5: 0.6468 recall@top3: 0.7976 prec@top3: 0.6984 recall@top5: 0.9762 prec@top5: 0.5429 loss_action_cls: 0.0419 2022/12/03 11:53:33 - mmengine - INFO - Epoch(train) [6][1200/4451] lr: 6.4150e-02 eta: 1:57:33 time: 0.3336 data_time: 0.0117 memory: 8510 grad_norm: 0.1550 loss: 0.0470 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5917 recall@top3: 0.6667 prec@top3: 0.5667 recall@top5: 0.9667 prec@top5: 0.4600 loss_action_cls: 0.0470 2022/12/03 11:53:39 - mmengine - INFO - Epoch(train) [6][1220/4451] lr: 6.4065e-02 eta: 1:57:27 time: 0.3347 data_time: 0.0145 memory: 8510 grad_norm: 0.1617 loss: 0.0445 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7333 recall@top3: 0.9000 prec@top3: 0.6889 recall@top5: 0.9444 prec@top5: 0.4400 loss_action_cls: 0.0445 2022/12/03 11:53:46 - mmengine - INFO - Epoch(train) [6][1240/4451] lr: 6.3980e-02 eta: 1:57:20 time: 0.3344 data_time: 0.0166 memory: 8510 grad_norm: 0.1544 loss: 0.0427 recall@thr=0.5: 0.6673 prec@thr=0.5: 0.6699 recall@top3: 0.8096 prec@top3: 0.6538 recall@top5: 0.9019 prec@top5: 0.4538 loss_action_cls: 0.0427 2022/12/03 11:53:53 - mmengine - INFO - Epoch(train) [6][1260/4451] lr: 6.3896e-02 eta: 1:57:13 time: 0.3358 data_time: 0.0111 memory: 8510 grad_norm: 0.1613 loss: 0.0460 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8712 recall@top3: 0.8144 prec@top3: 0.6364 recall@top5: 0.8371 prec@top5: 0.4000 loss_action_cls: 0.0460 2022/12/03 11:53:59 - mmengine - INFO - Epoch(train) [6][1280/4451] lr: 6.3811e-02 eta: 1:57:07 time: 0.3334 data_time: 0.0113 memory: 8510 grad_norm: 0.1550 loss: 0.0448 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.8492 recall@top3: 0.8730 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0448 2022/12/03 11:54:06 - mmengine - INFO - Epoch(train) [6][1300/4451] lr: 6.3726e-02 eta: 1:57:00 time: 0.3358 data_time: 0.0114 memory: 8510 grad_norm: 0.1491 loss: 0.0429 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.5079 recall@top3: 0.9048 prec@top3: 0.5556 recall@top5: 0.9762 prec@top5: 0.3714 loss_action_cls: 0.0429 2022/12/03 11:54:13 - mmengine - INFO - Epoch(train) [6][1320/4451] lr: 6.3641e-02 eta: 1:56:53 time: 0.3347 data_time: 0.0132 memory: 8510 grad_norm: 0.1536 loss: 0.0434 recall@thr=0.5: 0.8436 prec@thr=0.5: 0.8128 recall@top3: 0.8744 prec@top3: 0.8462 recall@top5: 0.9744 prec@top5: 0.6000 loss_action_cls: 0.0434 2022/12/03 11:54:19 - mmengine - INFO - Epoch(train) [6][1340/4451] lr: 6.3556e-02 eta: 1:56:47 time: 0.3349 data_time: 0.0115 memory: 8510 grad_norm: 0.1578 loss: 0.0432 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.6667 recall@top3: 0.7853 prec@top3: 0.6538 recall@top5: 0.9295 prec@top5: 0.4462 loss_action_cls: 0.0432 2022/12/03 11:54:26 - mmengine - INFO - Epoch(train) [6][1360/4451] lr: 6.3471e-02 eta: 1:56:40 time: 0.3353 data_time: 0.0117 memory: 8510 grad_norm: 0.1523 loss: 0.0413 recall@thr=0.5: 0.8083 prec@thr=0.5: 0.7917 recall@top3: 0.8917 prec@top3: 0.6167 recall@top5: 0.9750 prec@top5: 0.4200 loss_action_cls: 0.0413 2022/12/03 11:54:33 - mmengine - INFO - Epoch(train) [6][1380/4451] lr: 6.3386e-02 eta: 1:56:33 time: 0.3352 data_time: 0.0111 memory: 8510 grad_norm: 0.1594 loss: 0.0419 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.8611 recall@top3: 0.9167 prec@top3: 0.6111 recall@top5: 0.9352 prec@top5: 0.3778 loss_action_cls: 0.0419 2022/12/03 11:54:40 - mmengine - INFO - Epoch(train) [6][1400/4451] lr: 6.3301e-02 eta: 1:56:26 time: 0.3353 data_time: 0.0124 memory: 8510 grad_norm: 0.1518 loss: 0.0432 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.7000 recall@top3: 0.7333 prec@top3: 0.5733 recall@top5: 0.8000 prec@top5: 0.3760 loss_action_cls: 0.0432 2022/12/03 11:54:46 - mmengine - INFO - Epoch(train) [6][1420/4451] lr: 6.3216e-02 eta: 1:56:20 time: 0.3350 data_time: 0.0133 memory: 8510 grad_norm: 0.1537 loss: 0.0462 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8000 recall@top3: 0.7708 prec@top3: 0.6000 recall@top5: 0.8917 prec@top5: 0.4400 loss_action_cls: 0.0462 2022/12/03 11:54:53 - mmengine - INFO - Epoch(train) [6][1440/4451] lr: 6.3131e-02 eta: 1:56:13 time: 0.3351 data_time: 0.0150 memory: 8510 grad_norm: 0.1558 loss: 0.0416 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5595 recall@top3: 0.8512 prec@top3: 0.5000 recall@top5: 0.9137 prec@top5: 0.3357 loss_action_cls: 0.0416 2022/12/03 11:55:00 - mmengine - INFO - Epoch(train) [6][1460/4451] lr: 6.3046e-02 eta: 1:56:06 time: 0.3361 data_time: 0.0148 memory: 8510 grad_norm: 0.1564 loss: 0.0441 recall@thr=0.5: 0.6007 prec@thr=0.5: 0.7014 recall@top3: 0.8264 prec@top3: 0.7639 recall@top5: 0.9861 prec@top5: 0.5667 loss_action_cls: 0.0441 2022/12/03 11:55:06 - mmengine - INFO - Epoch(train) [6][1480/4451] lr: 6.2961e-02 eta: 1:56:00 time: 0.3342 data_time: 0.0149 memory: 8510 grad_norm: 0.1558 loss: 0.0453 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7667 recall@top3: 0.8389 prec@top3: 0.6889 recall@top5: 0.8944 prec@top5: 0.4400 loss_action_cls: 0.0453 2022/12/03 11:55:13 - mmengine - INFO - Epoch(train) [6][1500/4451] lr: 6.2876e-02 eta: 1:55:53 time: 0.3338 data_time: 0.0113 memory: 8510 grad_norm: 0.1515 loss: 0.0403 recall@thr=0.5: 0.4781 prec@thr=0.5: 0.6053 recall@top3: 0.7061 prec@top3: 0.4737 recall@top5: 0.8246 prec@top5: 0.3474 loss_action_cls: 0.0403 2022/12/03 11:55:20 - mmengine - INFO - Epoch(train) [6][1520/4451] lr: 6.2790e-02 eta: 1:55:46 time: 0.3349 data_time: 0.0113 memory: 8510 grad_norm: 0.1560 loss: 0.0414 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.5646 recall@top3: 0.6701 prec@top3: 0.6111 recall@top5: 0.8958 prec@top5: 0.5083 loss_action_cls: 0.0414 2022/12/03 11:55:26 - mmengine - INFO - Epoch(train) [6][1540/4451] lr: 6.2705e-02 eta: 1:55:40 time: 0.3344 data_time: 0.0122 memory: 8510 grad_norm: 0.1495 loss: 0.0389 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7059 recall@top3: 0.7745 prec@top3: 0.3922 recall@top5: 0.9118 prec@top5: 0.2941 loss_action_cls: 0.0389 2022/12/03 11:55:33 - mmengine - INFO - Epoch(train) [6][1560/4451] lr: 6.2620e-02 eta: 1:55:33 time: 0.3351 data_time: 0.0119 memory: 8510 grad_norm: 0.1541 loss: 0.0478 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.6319 recall@top3: 0.6389 prec@top3: 0.5833 recall@top5: 0.8681 prec@top5: 0.4833 loss_action_cls: 0.0478 2022/12/03 11:55:40 - mmengine - INFO - Epoch(train) [6][1580/4451] lr: 6.2534e-02 eta: 1:55:26 time: 0.3357 data_time: 0.0127 memory: 8510 grad_norm: 0.1528 loss: 0.0446 recall@thr=0.5: 0.6543 prec@thr=0.5: 0.7222 recall@top3: 0.7654 prec@top3: 0.6296 recall@top5: 0.9012 prec@top5: 0.4370 loss_action_cls: 0.0446 2022/12/03 11:55:46 - mmengine - INFO - Epoch(train) [6][1600/4451] lr: 6.2449e-02 eta: 1:55:19 time: 0.3340 data_time: 0.0143 memory: 8510 grad_norm: 0.1586 loss: 0.0430 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.5238 recall@top3: 0.7500 prec@top3: 0.4286 recall@top5: 0.8571 prec@top5: 0.3000 loss_action_cls: 0.0430 2022/12/03 11:55:53 - mmengine - INFO - Epoch(train) [6][1620/4451] lr: 6.2363e-02 eta: 1:55:13 time: 0.3349 data_time: 0.0112 memory: 8510 grad_norm: 0.1548 loss: 0.0459 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8750 recall@top3: 0.8958 prec@top3: 0.6667 recall@top5: 0.9417 prec@top5: 0.4300 loss_action_cls: 0.0459 2022/12/03 11:56:00 - mmengine - INFO - Epoch(train) [6][1640/4451] lr: 6.2278e-02 eta: 1:55:06 time: 0.3337 data_time: 0.0155 memory: 8510 grad_norm: 0.1566 loss: 0.0467 recall@thr=0.5: 0.5594 prec@thr=0.5: 0.7826 recall@top3: 0.8710 prec@top3: 0.6522 recall@top5: 0.9457 prec@top5: 0.4522 loss_action_cls: 0.0467 2022/12/03 11:56:07 - mmengine - INFO - Epoch(train) [6][1660/4451] lr: 6.2192e-02 eta: 1:54:59 time: 0.3340 data_time: 0.0153 memory: 8510 grad_norm: 0.1647 loss: 0.0477 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6250 recall@top3: 0.7604 prec@top3: 0.6458 recall@top5: 0.8646 prec@top5: 0.4500 loss_action_cls: 0.0477 2022/12/03 11:56:13 - mmengine - INFO - Epoch(train) [6][1680/4451] lr: 6.2107e-02 eta: 1:54:53 time: 0.3363 data_time: 0.0110 memory: 8510 grad_norm: 0.1616 loss: 0.0441 recall@thr=0.5: 0.4275 prec@thr=0.5: 0.4638 recall@top3: 0.6522 prec@top3: 0.4928 recall@top5: 0.8696 prec@top5: 0.3652 loss_action_cls: 0.0441 2022/12/03 11:56:20 - mmengine - INFO - Epoch(train) [6][1700/4451] lr: 6.2021e-02 eta: 1:54:46 time: 0.3348 data_time: 0.0142 memory: 8510 grad_norm: 0.1588 loss: 0.0455 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.5797 recall@top3: 0.8478 prec@top3: 0.4783 recall@top5: 0.9348 prec@top5: 0.3130 loss_action_cls: 0.0455 2022/12/03 11:56:27 - mmengine - INFO - Epoch(train) [6][1720/4451] lr: 6.1935e-02 eta: 1:54:39 time: 0.3347 data_time: 0.0112 memory: 8510 grad_norm: 0.1535 loss: 0.0404 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9333 recall@top3: 0.9000 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0404 2022/12/03 11:56:33 - mmengine - INFO - Epoch(train) [6][1740/4451] lr: 6.1850e-02 eta: 1:54:33 time: 0.3358 data_time: 0.0158 memory: 8510 grad_norm: 0.1507 loss: 0.0437 recall@thr=0.5: 0.4735 prec@thr=0.5: 0.6765 recall@top3: 0.6235 prec@top3: 0.5294 recall@top5: 0.9216 prec@top5: 0.4588 loss_action_cls: 0.0437 2022/12/03 11:56:35 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 11:56:40 - mmengine - INFO - Epoch(train) [6][1760/4451] lr: 6.1764e-02 eta: 1:54:26 time: 0.3344 data_time: 0.0113 memory: 8510 grad_norm: 0.1546 loss: 0.0488 recall@thr=0.5: 0.2451 prec@thr=0.5: 0.3333 recall@top3: 0.6275 prec@top3: 0.5294 recall@top5: 0.8235 prec@top5: 0.3882 loss_action_cls: 0.0488 2022/12/03 11:56:47 - mmengine - INFO - Epoch(train) [6][1780/4451] lr: 6.1678e-02 eta: 1:54:19 time: 0.3324 data_time: 0.0113 memory: 8510 grad_norm: 0.1589 loss: 0.0417 recall@thr=0.5: 0.6065 prec@thr=0.5: 0.6500 recall@top3: 0.6481 prec@top3: 0.5741 recall@top5: 0.7593 prec@top5: 0.4111 loss_action_cls: 0.0417 2022/12/03 11:56:53 - mmengine - INFO - Epoch(train) [6][1800/4451] lr: 6.1592e-02 eta: 1:54:12 time: 0.3353 data_time: 0.0140 memory: 8510 grad_norm: 0.1527 loss: 0.0413 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6620 recall@top3: 0.7574 prec@top3: 0.6389 recall@top5: 0.9389 prec@top5: 0.4667 loss_action_cls: 0.0413 2022/12/03 11:57:00 - mmengine - INFO - Epoch(train) [6][1820/4451] lr: 6.1507e-02 eta: 1:54:06 time: 0.3336 data_time: 0.0110 memory: 8510 grad_norm: 0.1587 loss: 0.0452 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7059 recall@top3: 0.7255 prec@top3: 0.5098 recall@top5: 0.9118 prec@top5: 0.3647 loss_action_cls: 0.0452 2022/12/03 11:57:07 - mmengine - INFO - Epoch(train) [6][1840/4451] lr: 6.1421e-02 eta: 1:53:59 time: 0.3350 data_time: 0.0126 memory: 8510 grad_norm: 0.1600 loss: 0.0460 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.6870 recall@top3: 0.7963 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.4000 loss_action_cls: 0.0460 2022/12/03 11:57:14 - mmengine - INFO - Epoch(train) [6][1860/4451] lr: 6.1335e-02 eta: 1:53:52 time: 0.3372 data_time: 0.0118 memory: 8510 grad_norm: 0.1595 loss: 0.0454 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9537 recall@top3: 0.8704 prec@top3: 0.7778 recall@top5: 0.9630 prec@top5: 0.5222 loss_action_cls: 0.0454 2022/12/03 11:57:20 - mmengine - INFO - Epoch(train) [6][1880/4451] lr: 6.1249e-02 eta: 1:53:46 time: 0.3365 data_time: 0.0114 memory: 8510 grad_norm: 0.1592 loss: 0.0458 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.7564 recall@top3: 0.7436 prec@top3: 0.6410 recall@top5: 0.8590 prec@top5: 0.4615 loss_action_cls: 0.0458 2022/12/03 11:57:27 - mmengine - INFO - Epoch(train) [6][1900/4451] lr: 6.1163e-02 eta: 1:53:39 time: 0.3358 data_time: 0.0132 memory: 8510 grad_norm: 0.1573 loss: 0.0466 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7716 recall@top3: 0.8272 prec@top3: 0.7901 recall@top5: 0.9198 prec@top5: 0.5333 loss_action_cls: 0.0466 2022/12/03 11:57:34 - mmengine - INFO - Epoch(train) [6][1920/4451] lr: 6.1077e-02 eta: 1:53:32 time: 0.3349 data_time: 0.0112 memory: 8510 grad_norm: 0.1577 loss: 0.0480 recall@thr=0.5: 0.4800 prec@thr=0.5: 0.5600 recall@top3: 0.7467 prec@top3: 0.4667 recall@top5: 0.8533 prec@top5: 0.3280 loss_action_cls: 0.0480 2022/12/03 11:57:40 - mmengine - INFO - Epoch(train) [6][1940/4451] lr: 6.0991e-02 eta: 1:53:26 time: 0.3349 data_time: 0.0123 memory: 8510 grad_norm: 0.1578 loss: 0.0437 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8106 recall@top3: 0.8333 prec@top3: 0.6061 recall@top5: 0.9091 prec@top5: 0.4091 loss_action_cls: 0.0437 2022/12/03 11:57:47 - mmengine - INFO - Epoch(train) [6][1960/4451] lr: 6.0905e-02 eta: 1:53:19 time: 0.3332 data_time: 0.0116 memory: 8510 grad_norm: 0.1533 loss: 0.0439 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.7750 recall@top3: 0.7667 prec@top3: 0.7000 recall@top5: 0.8208 prec@top5: 0.4600 loss_action_cls: 0.0439 2022/12/03 11:57:54 - mmengine - INFO - Epoch(train) [6][1980/4451] lr: 6.0819e-02 eta: 1:53:12 time: 0.3356 data_time: 0.0126 memory: 8510 grad_norm: 0.1558 loss: 0.0460 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5926 recall@top3: 0.7500 prec@top3: 0.6111 recall@top5: 0.8981 prec@top5: 0.4444 loss_action_cls: 0.0460 2022/12/03 11:58:00 - mmengine - INFO - Epoch(train) [6][2000/4451] lr: 6.0732e-02 eta: 1:53:05 time: 0.3361 data_time: 0.0116 memory: 8510 grad_norm: 0.1602 loss: 0.0432 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.6863 recall@top3: 0.7549 prec@top3: 0.5490 recall@top5: 0.8824 prec@top5: 0.4000 loss_action_cls: 0.0432 2022/12/03 11:58:07 - mmengine - INFO - Epoch(train) [6][2020/4451] lr: 6.0646e-02 eta: 1:52:59 time: 0.3341 data_time: 0.0120 memory: 8510 grad_norm: 0.1621 loss: 0.0437 recall@thr=0.5: 0.4259 prec@thr=0.5: 0.4722 recall@top3: 0.6481 prec@top3: 0.5000 recall@top5: 0.7222 prec@top5: 0.3444 loss_action_cls: 0.0437 2022/12/03 11:58:14 - mmengine - INFO - Epoch(train) [6][2040/4451] lr: 6.0560e-02 eta: 1:52:52 time: 0.3341 data_time: 0.0123 memory: 8510 grad_norm: 0.1520 loss: 0.0438 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7500 recall@top3: 0.7500 prec@top3: 0.5417 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0438 2022/12/03 11:58:21 - mmengine - INFO - Epoch(train) [6][2060/4451] lr: 6.0474e-02 eta: 1:52:45 time: 0.3339 data_time: 0.0114 memory: 8510 grad_norm: 0.1517 loss: 0.0413 recall@thr=0.5: 0.5181 prec@thr=0.5: 0.5625 recall@top3: 0.5847 prec@top3: 0.4861 recall@top5: 0.8819 prec@top5: 0.4333 loss_action_cls: 0.0413 2022/12/03 11:58:27 - mmengine - INFO - Epoch(train) [6][2080/4451] lr: 6.0388e-02 eta: 1:52:39 time: 0.3350 data_time: 0.0123 memory: 8510 grad_norm: 0.1533 loss: 0.0406 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7843 recall@top3: 0.9118 prec@top3: 0.6863 recall@top5: 0.9118 prec@top5: 0.4118 loss_action_cls: 0.0406 2022/12/03 11:58:34 - mmengine - INFO - Epoch(train) [6][2100/4451] lr: 6.0301e-02 eta: 1:52:32 time: 0.3347 data_time: 0.0119 memory: 8510 grad_norm: 0.1669 loss: 0.0488 recall@thr=0.5: 0.6116 prec@thr=0.5: 0.7899 recall@top3: 0.8203 prec@top3: 0.7681 recall@top5: 0.9681 prec@top5: 0.5565 loss_action_cls: 0.0488 2022/12/03 11:58:41 - mmengine - INFO - Epoch(train) [6][2120/4451] lr: 6.0215e-02 eta: 1:52:25 time: 0.3323 data_time: 0.0145 memory: 8510 grad_norm: 0.1545 loss: 0.0405 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9035 recall@top3: 0.8377 prec@top3: 0.6842 recall@top5: 0.9693 prec@top5: 0.5053 loss_action_cls: 0.0405 2022/12/03 11:58:47 - mmengine - INFO - Epoch(train) [6][2140/4451] lr: 6.0128e-02 eta: 1:52:18 time: 0.3396 data_time: 0.0133 memory: 8510 grad_norm: 0.1572 loss: 0.0412 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8485 recall@top3: 0.8030 prec@top3: 0.7121 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0412 2022/12/03 11:58:54 - mmengine - INFO - Epoch(train) [6][2160/4451] lr: 6.0042e-02 eta: 1:52:12 time: 0.3340 data_time: 0.0110 memory: 8510 grad_norm: 0.1622 loss: 0.0436 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5417 recall@top3: 0.6167 prec@top3: 0.4167 recall@top5: 0.7889 prec@top5: 0.3500 loss_action_cls: 0.0436 2022/12/03 11:59:01 - mmengine - INFO - Epoch(train) [6][2180/4451] lr: 5.9956e-02 eta: 1:52:05 time: 0.3352 data_time: 0.0116 memory: 8510 grad_norm: 0.1546 loss: 0.0445 recall@thr=0.5: 0.6293 prec@thr=0.5: 0.7126 recall@top3: 0.8534 prec@top3: 0.5517 recall@top5: 0.8707 prec@top5: 0.3448 loss_action_cls: 0.0445 2022/12/03 11:59:07 - mmengine - INFO - Epoch(train) [6][2200/4451] lr: 5.9869e-02 eta: 1:51:58 time: 0.3340 data_time: 0.0134 memory: 8510 grad_norm: 0.1520 loss: 0.0384 recall@thr=0.5: 0.3281 prec@thr=0.5: 0.3750 recall@top3: 0.6198 prec@top3: 0.5000 recall@top5: 0.7396 prec@top5: 0.3750 loss_action_cls: 0.0384 2022/12/03 11:59:14 - mmengine - INFO - Epoch(train) [6][2220/4451] lr: 5.9783e-02 eta: 1:51:52 time: 0.3348 data_time: 0.0125 memory: 8510 grad_norm: 0.1669 loss: 0.0433 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8889 recall@top3: 0.9074 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.4556 loss_action_cls: 0.0433 2022/12/03 11:59:21 - mmengine - INFO - Epoch(train) [6][2240/4451] lr: 5.9696e-02 eta: 1:51:45 time: 0.3351 data_time: 0.0141 memory: 8510 grad_norm: 0.1583 loss: 0.0477 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.7255 recall@top3: 0.7451 prec@top3: 0.6078 recall@top5: 0.8725 prec@top5: 0.4353 loss_action_cls: 0.0477 2022/12/03 11:59:27 - mmengine - INFO - Epoch(train) [6][2260/4451] lr: 5.9610e-02 eta: 1:51:38 time: 0.3330 data_time: 0.0122 memory: 8510 grad_norm: 0.1575 loss: 0.0442 recall@thr=0.5: 0.6127 prec@thr=0.5: 0.6746 recall@top3: 0.7476 prec@top3: 0.5238 recall@top5: 0.9095 prec@top5: 0.4095 loss_action_cls: 0.0442 2022/12/03 11:59:34 - mmengine - INFO - Epoch(train) [6][2280/4451] lr: 5.9523e-02 eta: 1:51:32 time: 0.3358 data_time: 0.0125 memory: 8510 grad_norm: 0.1467 loss: 0.0441 recall@thr=0.5: 0.6114 prec@thr=0.5: 0.7807 recall@top3: 0.8482 prec@top3: 0.7544 recall@top5: 0.8956 prec@top5: 0.4947 loss_action_cls: 0.0441 2022/12/03 11:59:41 - mmengine - INFO - Epoch(train) [6][2300/4451] lr: 5.9436e-02 eta: 1:51:25 time: 0.3352 data_time: 0.0122 memory: 8510 grad_norm: 0.1598 loss: 0.0455 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7143 recall@top3: 0.8810 prec@top3: 0.5476 recall@top5: 0.9762 prec@top5: 0.3857 loss_action_cls: 0.0455 2022/12/03 11:59:48 - mmengine - INFO - Epoch(train) [6][2320/4451] lr: 5.9350e-02 eta: 1:51:18 time: 0.3347 data_time: 0.0117 memory: 8510 grad_norm: 0.1557 loss: 0.0423 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7708 recall@top3: 0.8646 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0423 2022/12/03 11:59:54 - mmengine - INFO - Epoch(train) [6][2340/4451] lr: 5.9263e-02 eta: 1:51:11 time: 0.3348 data_time: 0.0116 memory: 8510 grad_norm: 0.1557 loss: 0.0348 recall@thr=0.5: 0.3452 prec@thr=0.5: 0.4286 recall@top3: 0.9286 prec@top3: 0.4524 recall@top5: 0.9286 prec@top5: 0.2714 loss_action_cls: 0.0348 2022/12/03 12:00:01 - mmengine - INFO - Epoch(train) [6][2360/4451] lr: 5.9176e-02 eta: 1:51:05 time: 0.3343 data_time: 0.0125 memory: 8510 grad_norm: 0.1588 loss: 0.0419 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7763 recall@top3: 0.7588 prec@top3: 0.6491 recall@top5: 0.9561 prec@top5: 0.4632 loss_action_cls: 0.0419 2022/12/03 12:00:08 - mmengine - INFO - Epoch(train) [6][2380/4451] lr: 5.9090e-02 eta: 1:50:58 time: 0.3350 data_time: 0.0117 memory: 8510 grad_norm: 0.1532 loss: 0.0451 recall@thr=0.5: 0.3796 prec@thr=0.5: 0.4491 recall@top3: 0.7963 prec@top3: 0.5556 recall@top5: 0.9491 prec@top5: 0.4111 loss_action_cls: 0.0451 2022/12/03 12:00:14 - mmengine - INFO - Epoch(train) [6][2400/4451] lr: 5.9003e-02 eta: 1:50:51 time: 0.3339 data_time: 0.0133 memory: 8510 grad_norm: 0.1680 loss: 0.0456 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7720 recall@top3: 0.8533 prec@top3: 0.6267 recall@top5: 0.9733 prec@top5: 0.4400 loss_action_cls: 0.0456 2022/12/03 12:00:21 - mmengine - INFO - Epoch(train) [6][2420/4451] lr: 5.8916e-02 eta: 1:50:45 time: 0.3351 data_time: 0.0137 memory: 8510 grad_norm: 0.1519 loss: 0.0463 recall@thr=0.5: 0.4773 prec@thr=0.5: 0.6591 recall@top3: 0.7955 prec@top3: 0.5758 recall@top5: 0.9318 prec@top5: 0.4000 loss_action_cls: 0.0463 2022/12/03 12:00:28 - mmengine - INFO - Epoch(train) [6][2440/4451] lr: 5.8829e-02 eta: 1:50:38 time: 0.3357 data_time: 0.0126 memory: 8510 grad_norm: 0.1586 loss: 0.0397 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5556 recall@top3: 0.8681 prec@top3: 0.6111 recall@top5: 0.9514 prec@top5: 0.4000 loss_action_cls: 0.0397 2022/12/03 12:00:34 - mmengine - INFO - Epoch(train) [6][2460/4451] lr: 5.8742e-02 eta: 1:50:31 time: 0.3340 data_time: 0.0122 memory: 8510 grad_norm: 0.1550 loss: 0.0407 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7969 recall@top3: 0.9583 prec@top3: 0.6458 recall@top5: 0.9792 prec@top5: 0.4000 loss_action_cls: 0.0407 2022/12/03 12:00:41 - mmengine - INFO - Epoch(train) [6][2480/4451] lr: 5.8655e-02 eta: 1:50:24 time: 0.3332 data_time: 0.0128 memory: 8510 grad_norm: 0.1577 loss: 0.0450 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.9067 recall@top3: 0.8800 prec@top3: 0.7200 recall@top5: 0.9600 prec@top5: 0.4880 loss_action_cls: 0.0450 2022/12/03 12:00:48 - mmengine - INFO - Epoch(train) [6][2500/4451] lr: 5.8568e-02 eta: 1:50:18 time: 0.3349 data_time: 0.0129 memory: 8510 grad_norm: 0.1614 loss: 0.0487 recall@thr=0.5: 0.3565 prec@thr=0.5: 0.5185 recall@top3: 0.6528 prec@top3: 0.5741 recall@top5: 0.8380 prec@top5: 0.4444 loss_action_cls: 0.0487 2022/12/03 12:00:55 - mmengine - INFO - Epoch(train) [6][2520/4451] lr: 5.8482e-02 eta: 1:50:11 time: 0.3337 data_time: 0.0165 memory: 8510 grad_norm: 0.1525 loss: 0.0439 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.6435 recall@top3: 0.8014 prec@top3: 0.7130 recall@top5: 0.9468 prec@top5: 0.5222 loss_action_cls: 0.0439 2022/12/03 12:01:01 - mmengine - INFO - Epoch(train) [6][2540/4451] lr: 5.8395e-02 eta: 1:50:04 time: 0.3336 data_time: 0.0121 memory: 8510 grad_norm: 0.1535 loss: 0.0415 recall@thr=0.5: 0.9000 prec@thr=0.5: 1.0000 recall@top3: 0.9438 prec@top3: 0.8125 recall@top5: 0.9875 prec@top5: 0.5250 loss_action_cls: 0.0415 2022/12/03 12:01:08 - mmengine - INFO - Epoch(train) [6][2560/4451] lr: 5.8308e-02 eta: 1:49:58 time: 0.3346 data_time: 0.0154 memory: 8510 grad_norm: 0.1504 loss: 0.0422 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6625 recall@top3: 0.8250 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.3700 loss_action_cls: 0.0422 2022/12/03 12:01:15 - mmengine - INFO - Epoch(train) [6][2580/4451] lr: 5.8221e-02 eta: 1:49:51 time: 0.3339 data_time: 0.0118 memory: 8510 grad_norm: 0.1610 loss: 0.0484 recall@thr=0.5: 0.4545 prec@thr=0.5: 0.5833 recall@top3: 0.7727 prec@top3: 0.5000 recall@top5: 0.9470 prec@top5: 0.3727 loss_action_cls: 0.0484 2022/12/03 12:01:21 - mmengine - INFO - Epoch(train) [6][2600/4451] lr: 5.8134e-02 eta: 1:49:44 time: 0.3326 data_time: 0.0142 memory: 8510 grad_norm: 0.1567 loss: 0.0415 recall@thr=0.5: 0.7267 prec@thr=0.5: 0.7567 recall@top3: 0.8667 prec@top3: 0.8133 recall@top5: 0.9400 prec@top5: 0.5360 loss_action_cls: 0.0415 2022/12/03 12:01:28 - mmengine - INFO - Epoch(train) [6][2620/4451] lr: 5.8046e-02 eta: 1:49:37 time: 0.3352 data_time: 0.0121 memory: 8510 grad_norm: 0.1588 loss: 0.0460 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7456 recall@top3: 0.7982 prec@top3: 0.5789 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0460 2022/12/03 12:01:35 - mmengine - INFO - Epoch(train) [6][2640/4451] lr: 5.7959e-02 eta: 1:49:31 time: 0.3330 data_time: 0.0135 memory: 8510 grad_norm: 0.1507 loss: 0.0422 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.8086 recall@top3: 0.7654 prec@top3: 0.6914 recall@top5: 0.9105 prec@top5: 0.4815 loss_action_cls: 0.0422 2022/12/03 12:01:41 - mmengine - INFO - Epoch(train) [6][2660/4451] lr: 5.7872e-02 eta: 1:49:24 time: 0.3344 data_time: 0.0109 memory: 8510 grad_norm: 0.1592 loss: 0.0431 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.6812 recall@top3: 0.7029 prec@top3: 0.4348 recall@top5: 0.8333 prec@top5: 0.3478 loss_action_cls: 0.0431 2022/12/03 12:01:48 - mmengine - INFO - Epoch(train) [6][2680/4451] lr: 5.7785e-02 eta: 1:49:17 time: 0.3338 data_time: 0.0160 memory: 8510 grad_norm: 0.1572 loss: 0.0451 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7857 recall@top3: 0.9286 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4190 loss_action_cls: 0.0451 2022/12/03 12:01:55 - mmengine - INFO - Epoch(train) [6][2700/4451] lr: 5.7698e-02 eta: 1:49:11 time: 0.3368 data_time: 0.0113 memory: 8510 grad_norm: 0.1628 loss: 0.0389 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7000 recall@top3: 0.7778 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4267 loss_action_cls: 0.0389 2022/12/03 12:02:01 - mmengine - INFO - Epoch(train) [6][2720/4451] lr: 5.7611e-02 eta: 1:49:04 time: 0.3314 data_time: 0.0120 memory: 8510 grad_norm: 0.1571 loss: 0.0486 recall@thr=0.5: 0.4430 prec@thr=0.5: 0.4561 recall@top3: 0.7456 prec@top3: 0.5439 recall@top5: 0.8553 prec@top5: 0.4105 loss_action_cls: 0.0486 2022/12/03 12:02:08 - mmengine - INFO - Epoch(train) [6][2740/4451] lr: 5.7524e-02 eta: 1:48:57 time: 0.3360 data_time: 0.0113 memory: 8510 grad_norm: 0.1567 loss: 0.0437 recall@thr=0.5: 0.4940 prec@thr=0.5: 0.6667 recall@top3: 0.6488 prec@top3: 0.5238 recall@top5: 0.8929 prec@top5: 0.4143 loss_action_cls: 0.0437 2022/12/03 12:02:10 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:02:15 - mmengine - INFO - Epoch(train) [6][2760/4451] lr: 5.7436e-02 eta: 1:48:50 time: 0.3359 data_time: 0.0153 memory: 8510 grad_norm: 0.1575 loss: 0.0480 recall@thr=0.5: 0.3214 prec@thr=0.5: 0.3929 recall@top3: 0.5595 prec@top3: 0.4524 recall@top5: 0.6429 prec@top5: 0.3143 loss_action_cls: 0.0480 2022/12/03 12:02:21 - mmengine - INFO - Epoch(train) [6][2780/4451] lr: 5.7349e-02 eta: 1:48:44 time: 0.3364 data_time: 0.0113 memory: 8510 grad_norm: 0.1545 loss: 0.0493 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8289 recall@top3: 0.8579 prec@top3: 0.6842 recall@top5: 0.8684 prec@top5: 0.4211 loss_action_cls: 0.0493 2022/12/03 12:02:28 - mmengine - INFO - Epoch(train) [6][2800/4451] lr: 5.7262e-02 eta: 1:48:37 time: 0.3351 data_time: 0.0131 memory: 8510 grad_norm: 0.1537 loss: 0.0474 recall@thr=0.5: 0.5033 prec@thr=0.5: 0.5600 recall@top3: 0.8333 prec@top3: 0.5200 recall@top5: 0.9000 prec@top5: 0.3520 loss_action_cls: 0.0474 2022/12/03 12:02:35 - mmengine - INFO - Epoch(train) [6][2820/4451] lr: 5.7174e-02 eta: 1:48:30 time: 0.3356 data_time: 0.0127 memory: 8510 grad_norm: 0.1618 loss: 0.0404 recall@thr=0.5: 0.3889 prec@thr=0.5: 0.6111 recall@top3: 0.7037 prec@top3: 0.5926 recall@top5: 0.7870 prec@top5: 0.4000 loss_action_cls: 0.0404 2022/12/03 12:02:42 - mmengine - INFO - Epoch(train) [6][2840/4451] lr: 5.7087e-02 eta: 1:48:24 time: 0.3339 data_time: 0.0152 memory: 8510 grad_norm: 0.1579 loss: 0.0435 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7187 recall@top3: 0.7083 prec@top3: 0.4375 recall@top5: 0.9375 prec@top5: 0.3625 loss_action_cls: 0.0435 2022/12/03 12:02:48 - mmengine - INFO - Epoch(train) [6][2860/4451] lr: 5.7000e-02 eta: 1:48:17 time: 0.3333 data_time: 0.0135 memory: 8510 grad_norm: 0.1598 loss: 0.0468 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.7083 recall@top3: 0.8417 prec@top3: 0.5167 recall@top5: 0.9333 prec@top5: 0.3700 loss_action_cls: 0.0468 2022/12/03 12:02:55 - mmengine - INFO - Epoch(train) [6][2880/4451] lr: 5.6912e-02 eta: 1:48:10 time: 0.3354 data_time: 0.0125 memory: 8510 grad_norm: 0.1586 loss: 0.0475 recall@thr=0.5: 0.4250 prec@thr=0.5: 0.5917 recall@top3: 0.7375 prec@top3: 0.6000 recall@top5: 0.7667 prec@top5: 0.3800 loss_action_cls: 0.0475 2022/12/03 12:03:02 - mmengine - INFO - Epoch(train) [6][2900/4451] lr: 5.6825e-02 eta: 1:48:04 time: 0.3345 data_time: 0.0116 memory: 8510 grad_norm: 0.1540 loss: 0.0476 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7917 recall@top3: 0.7875 prec@top3: 0.5833 recall@top5: 0.8625 prec@top5: 0.3900 loss_action_cls: 0.0476 2022/12/03 12:03:08 - mmengine - INFO - Epoch(train) [6][2920/4451] lr: 5.6738e-02 eta: 1:47:57 time: 0.3327 data_time: 0.0124 memory: 8510 grad_norm: 0.1581 loss: 0.0443 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7500 recall@top3: 0.7222 prec@top3: 0.5741 recall@top5: 0.8889 prec@top5: 0.4333 loss_action_cls: 0.0443 2022/12/03 12:03:15 - mmengine - INFO - Epoch(train) [6][2940/4451] lr: 5.6650e-02 eta: 1:47:50 time: 0.3377 data_time: 0.0156 memory: 8510 grad_norm: 0.1587 loss: 0.0439 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.7391 recall@top3: 0.8478 prec@top3: 0.5362 recall@top5: 0.9058 prec@top5: 0.3565 loss_action_cls: 0.0439 2022/12/03 12:03:22 - mmengine - INFO - Epoch(train) [6][2960/4451] lr: 5.6563e-02 eta: 1:47:43 time: 0.3357 data_time: 0.0115 memory: 8510 grad_norm: 0.1509 loss: 0.0447 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.7698 recall@top3: 0.8849 prec@top3: 0.7302 recall@top5: 0.9683 prec@top5: 0.5048 loss_action_cls: 0.0447 2022/12/03 12:03:28 - mmengine - INFO - Epoch(train) [6][2980/4451] lr: 5.6475e-02 eta: 1:47:37 time: 0.3342 data_time: 0.0127 memory: 8510 grad_norm: 0.1633 loss: 0.0453 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.9479 recall@top3: 1.0000 prec@top3: 0.8542 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0453 2022/12/03 12:03:35 - mmengine - INFO - Epoch(train) [6][3000/4451] lr: 5.6388e-02 eta: 1:47:30 time: 0.3349 data_time: 0.0140 memory: 8510 grad_norm: 0.1564 loss: 0.0441 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6083 recall@top3: 0.8833 prec@top3: 0.5000 recall@top5: 0.9833 prec@top5: 0.3600 loss_action_cls: 0.0441 2022/12/03 12:03:42 - mmengine - INFO - Epoch(train) [6][3020/4451] lr: 5.6300e-02 eta: 1:47:23 time: 0.3324 data_time: 0.0122 memory: 8510 grad_norm: 0.1586 loss: 0.0447 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7593 recall@top3: 0.8716 prec@top3: 0.6543 recall@top5: 0.9370 prec@top5: 0.4444 loss_action_cls: 0.0447 2022/12/03 12:03:48 - mmengine - INFO - Epoch(train) [6][3040/4451] lr: 5.6213e-02 eta: 1:47:17 time: 0.3348 data_time: 0.0129 memory: 8510 grad_norm: 0.1615 loss: 0.0419 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8095 recall@top3: 0.9643 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.3286 loss_action_cls: 0.0419 2022/12/03 12:03:55 - mmengine - INFO - Epoch(train) [6][3060/4451] lr: 5.6125e-02 eta: 1:47:10 time: 0.3343 data_time: 0.0137 memory: 8510 grad_norm: 0.1478 loss: 0.0388 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7544 recall@top3: 0.9737 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.3789 loss_action_cls: 0.0388 2022/12/03 12:04:02 - mmengine - INFO - Epoch(train) [6][3080/4451] lr: 5.6038e-02 eta: 1:47:03 time: 0.3333 data_time: 0.0132 memory: 8510 grad_norm: 0.1601 loss: 0.0459 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.3258 recall@top3: 0.7083 prec@top3: 0.5333 recall@top5: 0.8583 prec@top5: 0.4000 loss_action_cls: 0.0459 2022/12/03 12:04:09 - mmengine - INFO - Epoch(train) [6][3100/4451] lr: 5.5950e-02 eta: 1:46:57 time: 0.3365 data_time: 0.0111 memory: 8510 grad_norm: 0.1575 loss: 0.0430 recall@thr=0.5: 0.5486 prec@thr=0.5: 0.6597 recall@top3: 0.7014 prec@top3: 0.5833 recall@top5: 0.8403 prec@top5: 0.4167 loss_action_cls: 0.0430 2022/12/03 12:04:15 - mmengine - INFO - Epoch(train) [6][3120/4451] lr: 5.5862e-02 eta: 1:46:50 time: 0.3336 data_time: 0.0123 memory: 8510 grad_norm: 0.1542 loss: 0.0458 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.7885 recall@top3: 0.7769 prec@top3: 0.7949 recall@top5: 0.9141 prec@top5: 0.5846 loss_action_cls: 0.0458 2022/12/03 12:04:22 - mmengine - INFO - Epoch(train) [6][3140/4451] lr: 5.5775e-02 eta: 1:46:43 time: 0.3354 data_time: 0.0112 memory: 8510 grad_norm: 0.1590 loss: 0.0433 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.7193 recall@top3: 0.8246 prec@top3: 0.6140 recall@top5: 0.9123 prec@top5: 0.4211 loss_action_cls: 0.0433 2022/12/03 12:04:29 - mmengine - INFO - Epoch(train) [6][3160/4451] lr: 5.5687e-02 eta: 1:46:36 time: 0.3338 data_time: 0.0122 memory: 8510 grad_norm: 0.1555 loss: 0.0383 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6190 recall@top3: 0.8095 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.3714 loss_action_cls: 0.0383 2022/12/03 12:04:35 - mmengine - INFO - Epoch(train) [6][3180/4451] lr: 5.5599e-02 eta: 1:46:30 time: 0.3351 data_time: 0.0116 memory: 8510 grad_norm: 0.1635 loss: 0.0443 recall@thr=0.5: 0.3788 prec@thr=0.5: 0.4545 recall@top3: 0.5833 prec@top3: 0.4545 recall@top5: 0.8485 prec@top5: 0.3909 loss_action_cls: 0.0443 2022/12/03 12:04:42 - mmengine - INFO - Epoch(train) [6][3200/4451] lr: 5.5512e-02 eta: 1:46:23 time: 0.3359 data_time: 0.0132 memory: 8510 grad_norm: 0.1604 loss: 0.0471 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6806 recall@top3: 0.8194 prec@top3: 0.5278 recall@top5: 0.8750 prec@top5: 0.3500 loss_action_cls: 0.0471 2022/12/03 12:04:49 - mmengine - INFO - Epoch(train) [6][3220/4451] lr: 5.5424e-02 eta: 1:46:16 time: 0.3355 data_time: 0.0145 memory: 8510 grad_norm: 0.1557 loss: 0.0414 recall@thr=0.5: 0.4259 prec@thr=0.5: 0.5278 recall@top3: 0.7361 prec@top3: 0.6111 recall@top5: 0.8935 prec@top5: 0.4667 loss_action_cls: 0.0414 2022/12/03 12:04:55 - mmengine - INFO - Epoch(train) [6][3240/4451] lr: 5.5336e-02 eta: 1:46:10 time: 0.3330 data_time: 0.0144 memory: 8510 grad_norm: 0.1518 loss: 0.0439 recall@thr=0.5: 0.6928 prec@thr=0.5: 0.7056 recall@top3: 0.7300 prec@top3: 0.6222 recall@top5: 0.8911 prec@top5: 0.4933 loss_action_cls: 0.0439 2022/12/03 12:05:02 - mmengine - INFO - Epoch(train) [6][3260/4451] lr: 5.5249e-02 eta: 1:46:03 time: 0.3343 data_time: 0.0159 memory: 8510 grad_norm: 0.1584 loss: 0.0415 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.8125 recall@top3: 0.8750 prec@top3: 0.7917 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0415 2022/12/03 12:05:09 - mmengine - INFO - Epoch(train) [6][3280/4451] lr: 5.5161e-02 eta: 1:45:56 time: 0.3342 data_time: 0.0140 memory: 8510 grad_norm: 0.1574 loss: 0.0425 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.6605 recall@top3: 0.9228 prec@top3: 0.6667 recall@top5: 0.9815 prec@top5: 0.4296 loss_action_cls: 0.0425 2022/12/03 12:05:15 - mmengine - INFO - Epoch(train) [6][3300/4451] lr: 5.5073e-02 eta: 1:45:49 time: 0.3330 data_time: 0.0124 memory: 8510 grad_norm: 0.1585 loss: 0.0428 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.6927 recall@top3: 0.7500 prec@top3: 0.5521 recall@top5: 0.8828 prec@top5: 0.3937 loss_action_cls: 0.0428 2022/12/03 12:05:22 - mmengine - INFO - Epoch(train) [6][3320/4451] lr: 5.4985e-02 eta: 1:45:43 time: 0.3344 data_time: 0.0120 memory: 8510 grad_norm: 0.1584 loss: 0.0437 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.7244 recall@top3: 0.8013 prec@top3: 0.7051 recall@top5: 0.9231 prec@top5: 0.4923 loss_action_cls: 0.0437 2022/12/03 12:05:29 - mmengine - INFO - Epoch(train) [6][3340/4451] lr: 5.4898e-02 eta: 1:45:36 time: 0.3342 data_time: 0.0149 memory: 8510 grad_norm: 0.1571 loss: 0.0440 recall@thr=0.5: 0.7427 prec@thr=0.5: 0.7633 recall@top3: 0.7980 prec@top3: 0.6800 recall@top5: 0.9340 prec@top5: 0.4960 loss_action_cls: 0.0440 2022/12/03 12:05:36 - mmengine - INFO - Epoch(train) [6][3360/4451] lr: 5.4810e-02 eta: 1:45:29 time: 0.3370 data_time: 0.0113 memory: 8510 grad_norm: 0.1541 loss: 0.0448 recall@thr=0.5: 0.4737 prec@thr=0.5: 0.6316 recall@top3: 0.6842 prec@top3: 0.5965 recall@top5: 0.7895 prec@top5: 0.4211 loss_action_cls: 0.0448 2022/12/03 12:05:42 - mmengine - INFO - Epoch(train) [6][3380/4451] lr: 5.4722e-02 eta: 1:45:23 time: 0.3378 data_time: 0.0139 memory: 8510 grad_norm: 0.1628 loss: 0.0410 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.9111 recall@top3: 0.8333 prec@top3: 0.7556 recall@top5: 0.9056 prec@top5: 0.5000 loss_action_cls: 0.0410 2022/12/03 12:05:49 - mmengine - INFO - Epoch(train) [6][3400/4451] lr: 5.4634e-02 eta: 1:45:16 time: 0.3342 data_time: 0.0107 memory: 8510 grad_norm: 0.1628 loss: 0.0449 recall@thr=0.5: 0.3590 prec@thr=0.5: 0.4231 recall@top3: 0.7051 prec@top3: 0.4615 recall@top5: 0.8077 prec@top5: 0.3385 loss_action_cls: 0.0449 2022/12/03 12:05:56 - mmengine - INFO - Epoch(train) [6][3420/4451] lr: 5.4546e-02 eta: 1:45:09 time: 0.3327 data_time: 0.0129 memory: 8510 grad_norm: 0.1586 loss: 0.0439 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7847 recall@top3: 0.8958 prec@top3: 0.7083 recall@top5: 0.9444 prec@top5: 0.4500 loss_action_cls: 0.0439 2022/12/03 12:06:02 - mmengine - INFO - Epoch(train) [6][3440/4451] lr: 5.4458e-02 eta: 1:45:02 time: 0.3341 data_time: 0.0131 memory: 8510 grad_norm: 0.1653 loss: 0.0467 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8627 recall@top3: 0.8725 prec@top3: 0.7451 recall@top5: 0.9657 prec@top5: 0.5059 loss_action_cls: 0.0467 2022/12/03 12:06:09 - mmengine - INFO - Epoch(train) [6][3460/4451] lr: 5.4370e-02 eta: 1:44:56 time: 0.3347 data_time: 0.0122 memory: 8510 grad_norm: 0.1539 loss: 0.0450 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.7319 recall@top3: 0.7681 prec@top3: 0.6377 recall@top5: 0.9710 prec@top5: 0.5043 loss_action_cls: 0.0450 2022/12/03 12:06:16 - mmengine - INFO - Epoch(train) [6][3480/4451] lr: 5.4283e-02 eta: 1:44:49 time: 0.3372 data_time: 0.0131 memory: 8510 grad_norm: 0.1516 loss: 0.0418 recall@thr=0.5: 0.6314 prec@thr=0.5: 0.6718 recall@top3: 0.7115 prec@top3: 0.7179 recall@top5: 0.9295 prec@top5: 0.5692 loss_action_cls: 0.0418 2022/12/03 12:06:23 - mmengine - INFO - Epoch(train) [6][3500/4451] lr: 5.4195e-02 eta: 1:44:42 time: 0.3356 data_time: 0.0117 memory: 8510 grad_norm: 0.1602 loss: 0.0411 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.5000 recall@top3: 0.6090 prec@top3: 0.4231 recall@top5: 0.7949 prec@top5: 0.3462 loss_action_cls: 0.0411 2022/12/03 12:06:29 - mmengine - INFO - Epoch(train) [6][3520/4451] lr: 5.4107e-02 eta: 1:44:36 time: 0.3353 data_time: 0.0129 memory: 8510 grad_norm: 0.1574 loss: 0.0469 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7462 recall@top3: 0.7628 prec@top3: 0.6923 recall@top5: 0.8590 prec@top5: 0.4923 loss_action_cls: 0.0469 2022/12/03 12:06:36 - mmengine - INFO - Epoch(train) [6][3540/4451] lr: 5.4019e-02 eta: 1:44:29 time: 0.3348 data_time: 0.0118 memory: 8510 grad_norm: 0.1668 loss: 0.0407 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.8917 recall@top3: 0.7750 prec@top3: 0.6833 recall@top5: 0.9000 prec@top5: 0.4800 loss_action_cls: 0.0407 2022/12/03 12:06:43 - mmengine - INFO - Epoch(train) [6][3560/4451] lr: 5.3931e-02 eta: 1:44:22 time: 0.3335 data_time: 0.0123 memory: 8510 grad_norm: 0.1551 loss: 0.0420 recall@thr=0.5: 0.2222 prec@thr=0.5: 0.3272 recall@top3: 0.7160 prec@top3: 0.4321 recall@top5: 0.8333 prec@top5: 0.3111 loss_action_cls: 0.0420 2022/12/03 12:06:49 - mmengine - INFO - Epoch(train) [6][3580/4451] lr: 5.3843e-02 eta: 1:44:16 time: 0.3347 data_time: 0.0122 memory: 8510 grad_norm: 0.1576 loss: 0.0435 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7895 recall@top3: 0.8860 prec@top3: 0.7544 recall@top5: 0.9825 prec@top5: 0.5158 loss_action_cls: 0.0435 2022/12/03 12:06:56 - mmengine - INFO - Epoch(train) [6][3600/4451] lr: 5.3755e-02 eta: 1:44:09 time: 0.3343 data_time: 0.0120 memory: 8510 grad_norm: 0.1669 loss: 0.0443 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.8235 recall@top3: 0.7941 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0443 2022/12/03 12:07:03 - mmengine - INFO - Epoch(train) [6][3620/4451] lr: 5.3667e-02 eta: 1:44:02 time: 0.3349 data_time: 0.0135 memory: 8510 grad_norm: 0.1551 loss: 0.0417 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.7311 recall@top3: 0.7879 prec@top3: 0.6667 recall@top5: 0.9242 prec@top5: 0.4727 loss_action_cls: 0.0417 2022/12/03 12:07:09 - mmengine - INFO - Epoch(train) [6][3640/4451] lr: 5.3579e-02 eta: 1:43:55 time: 0.3336 data_time: 0.0137 memory: 8510 grad_norm: 0.1594 loss: 0.0459 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.3772 recall@top3: 0.6667 prec@top3: 0.4561 recall@top5: 0.8158 prec@top5: 0.3474 loss_action_cls: 0.0459 2022/12/03 12:07:16 - mmengine - INFO - Epoch(train) [6][3660/4451] lr: 5.3491e-02 eta: 1:43:49 time: 0.3352 data_time: 0.0136 memory: 8510 grad_norm: 0.1574 loss: 0.0432 recall@thr=0.5: 0.7113 prec@thr=0.5: 0.8567 recall@top3: 0.7880 prec@top3: 0.6800 recall@top5: 0.9567 prec@top5: 0.5360 loss_action_cls: 0.0432 2022/12/03 12:07:23 - mmengine - INFO - Epoch(train) [6][3680/4451] lr: 5.3403e-02 eta: 1:43:42 time: 0.3347 data_time: 0.0122 memory: 8510 grad_norm: 0.1517 loss: 0.0442 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.8138 recall@top3: 0.7754 prec@top3: 0.5942 recall@top5: 0.8877 prec@top5: 0.4261 loss_action_cls: 0.0442 2022/12/03 12:07:29 - mmengine - INFO - Epoch(train) [6][3700/4451] lr: 5.3315e-02 eta: 1:43:35 time: 0.3329 data_time: 0.0138 memory: 8510 grad_norm: 0.1587 loss: 0.0458 recall@thr=0.5: 0.4710 prec@thr=0.5: 0.5362 recall@top3: 0.6304 prec@top3: 0.4348 recall@top5: 0.7609 prec@top5: 0.3130 loss_action_cls: 0.0458 2022/12/03 12:07:36 - mmengine - INFO - Epoch(train) [6][3720/4451] lr: 5.3227e-02 eta: 1:43:29 time: 0.3365 data_time: 0.0136 memory: 8510 grad_norm: 0.1639 loss: 0.0466 recall@thr=0.5: 0.5365 prec@thr=0.5: 0.8437 recall@top3: 0.7656 prec@top3: 0.7292 recall@top5: 0.9479 prec@top5: 0.5500 loss_action_cls: 0.0466 2022/12/03 12:07:43 - mmengine - INFO - Epoch(train) [6][3740/4451] lr: 5.3139e-02 eta: 1:43:22 time: 0.3342 data_time: 0.0116 memory: 8510 grad_norm: 0.1547 loss: 0.0434 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7246 recall@top3: 0.7681 prec@top3: 0.7246 recall@top5: 0.9457 prec@top5: 0.5130 loss_action_cls: 0.0434 2022/12/03 12:07:44 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:07:49 - mmengine - INFO - Epoch(train) [6][3760/4451] lr: 5.3051e-02 eta: 1:43:15 time: 0.3346 data_time: 0.0117 memory: 8510 grad_norm: 0.1529 loss: 0.0391 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.7246 recall@top3: 0.8768 prec@top3: 0.5507 recall@top5: 0.9203 prec@top5: 0.3565 loss_action_cls: 0.0391 2022/12/03 12:07:56 - mmengine - INFO - Epoch(train) [6][3780/4451] lr: 5.2963e-02 eta: 1:43:09 time: 0.3337 data_time: 0.0138 memory: 8510 grad_norm: 0.1557 loss: 0.0444 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8800 recall@top3: 0.8000 prec@top3: 0.8333 recall@top5: 0.9375 prec@top5: 0.6000 loss_action_cls: 0.0444 2022/12/03 12:08:03 - mmengine - INFO - Epoch(train) [6][3800/4451] lr: 5.2875e-02 eta: 1:43:02 time: 0.3348 data_time: 0.0145 memory: 8510 grad_norm: 0.1601 loss: 0.0415 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7667 recall@top3: 0.7889 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0415 2022/12/03 12:08:10 - mmengine - INFO - Epoch(train) [6][3820/4451] lr: 5.2787e-02 eta: 1:42:55 time: 0.3343 data_time: 0.0143 memory: 8510 grad_norm: 0.1560 loss: 0.0499 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7556 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3867 loss_action_cls: 0.0499 2022/12/03 12:08:16 - mmengine - INFO - Epoch(train) [6][3840/4451] lr: 5.2698e-02 eta: 1:42:48 time: 0.3332 data_time: 0.0125 memory: 8510 grad_norm: 0.1587 loss: 0.0432 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.6522 recall@top3: 0.8986 prec@top3: 0.5507 recall@top5: 0.9529 prec@top5: 0.3478 loss_action_cls: 0.0432 2022/12/03 12:08:23 - mmengine - INFO - Epoch(train) [6][3860/4451] lr: 5.2610e-02 eta: 1:42:42 time: 0.3342 data_time: 0.0124 memory: 8510 grad_norm: 0.1596 loss: 0.0401 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.6923 recall@top3: 0.9615 prec@top3: 0.5897 recall@top5: 0.9615 prec@top5: 0.3538 loss_action_cls: 0.0401 2022/12/03 12:08:30 - mmengine - INFO - Epoch(train) [6][3880/4451] lr: 5.2522e-02 eta: 1:42:35 time: 0.3342 data_time: 0.0128 memory: 8510 grad_norm: 0.1596 loss: 0.0480 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6500 recall@top3: 0.8750 prec@top3: 0.5500 recall@top5: 0.9250 prec@top5: 0.3600 loss_action_cls: 0.0480 2022/12/03 12:08:36 - mmengine - INFO - Epoch(train) [6][3900/4451] lr: 5.2434e-02 eta: 1:42:28 time: 0.3335 data_time: 0.0138 memory: 8510 grad_norm: 0.1549 loss: 0.0408 recall@thr=0.5: 0.7973 prec@thr=0.5: 0.8200 recall@top3: 0.8313 prec@top3: 0.6667 recall@top5: 0.9800 prec@top5: 0.5040 loss_action_cls: 0.0408 2022/12/03 12:08:43 - mmengine - INFO - Epoch(train) [6][3920/4451] lr: 5.2346e-02 eta: 1:42:22 time: 0.3318 data_time: 0.0149 memory: 8510 grad_norm: 0.1606 loss: 0.0411 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.7807 recall@top3: 0.8728 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0411 2022/12/03 12:08:50 - mmengine - INFO - Epoch(train) [6][3940/4451] lr: 5.2258e-02 eta: 1:42:15 time: 0.3343 data_time: 0.0127 memory: 8510 grad_norm: 0.1612 loss: 0.0417 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6538 recall@top3: 0.6795 prec@top3: 0.4487 recall@top5: 0.9231 prec@top5: 0.3462 loss_action_cls: 0.0417 2022/12/03 12:08:56 - mmengine - INFO - Epoch(train) [6][3960/4451] lr: 5.2170e-02 eta: 1:42:08 time: 0.3343 data_time: 0.0123 memory: 8510 grad_norm: 0.1608 loss: 0.0408 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9020 recall@top3: 0.9216 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.3529 loss_action_cls: 0.0408 2022/12/03 12:09:03 - mmengine - INFO - Epoch(train) [6][3980/4451] lr: 5.2082e-02 eta: 1:42:01 time: 0.3337 data_time: 0.0124 memory: 8510 grad_norm: 0.1610 loss: 0.0430 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.7143 recall@top3: 0.8452 prec@top3: 0.6032 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0430 2022/12/03 12:09:10 - mmengine - INFO - Epoch(train) [6][4000/4451] lr: 5.1993e-02 eta: 1:41:55 time: 0.3350 data_time: 0.0122 memory: 8510 grad_norm: 0.1628 loss: 0.0428 recall@thr=0.5: 0.6861 prec@thr=0.5: 0.7037 recall@top3: 0.7241 prec@top3: 0.6667 recall@top5: 0.8204 prec@top5: 0.4778 loss_action_cls: 0.0428 2022/12/03 12:09:16 - mmengine - INFO - Epoch(train) [6][4020/4451] lr: 5.1905e-02 eta: 1:41:48 time: 0.3344 data_time: 0.0137 memory: 8510 grad_norm: 0.1489 loss: 0.0426 recall@thr=0.5: 0.5867 prec@thr=0.5: 0.5867 recall@top3: 0.7167 prec@top3: 0.5467 recall@top5: 0.8467 prec@top5: 0.4000 loss_action_cls: 0.0426 2022/12/03 12:09:23 - mmengine - INFO - Epoch(train) [6][4040/4451] lr: 5.1817e-02 eta: 1:41:41 time: 0.3351 data_time: 0.0105 memory: 8510 grad_norm: 0.1635 loss: 0.0413 recall@thr=0.5: 0.5688 prec@thr=0.5: 0.7130 recall@top3: 0.8007 prec@top3: 0.5797 recall@top5: 0.9565 prec@top5: 0.4261 loss_action_cls: 0.0413 2022/12/03 12:09:30 - mmengine - INFO - Epoch(train) [6][4060/4451] lr: 5.1729e-02 eta: 1:41:35 time: 0.3337 data_time: 0.0154 memory: 8510 grad_norm: 0.1622 loss: 0.0415 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.7533 recall@top3: 0.8000 prec@top3: 0.6800 recall@top5: 0.9667 prec@top5: 0.4960 loss_action_cls: 0.0415 2022/12/03 12:09:36 - mmengine - INFO - Epoch(train) [6][4080/4451] lr: 5.1641e-02 eta: 1:41:28 time: 0.3349 data_time: 0.0114 memory: 8510 grad_norm: 0.1596 loss: 0.0409 recall@thr=0.5: 0.4618 prec@thr=0.5: 0.5000 recall@top3: 0.6319 prec@top3: 0.5139 recall@top5: 0.7743 prec@top5: 0.3833 loss_action_cls: 0.0409 2022/12/03 12:09:43 - mmengine - INFO - Epoch(train) [6][4100/4451] lr: 5.1553e-02 eta: 1:41:21 time: 0.3320 data_time: 0.0116 memory: 8510 grad_norm: 0.1578 loss: 0.0431 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.6476 recall@top3: 0.8095 prec@top3: 0.6508 recall@top5: 0.9325 prec@top5: 0.4571 loss_action_cls: 0.0431 2022/12/03 12:09:50 - mmengine - INFO - Epoch(train) [6][4120/4451] lr: 5.1464e-02 eta: 1:41:14 time: 0.3349 data_time: 0.0115 memory: 8510 grad_norm: 0.1596 loss: 0.0466 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.9667 recall@top3: 0.9042 prec@top3: 0.6167 recall@top5: 0.9708 prec@top5: 0.4100 loss_action_cls: 0.0466 2022/12/03 12:09:56 - mmengine - INFO - Epoch(train) [6][4140/4451] lr: 5.1376e-02 eta: 1:41:08 time: 0.3340 data_time: 0.0147 memory: 8510 grad_norm: 0.1634 loss: 0.0420 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6491 recall@top3: 0.8421 prec@top3: 0.5439 recall@top5: 0.9474 prec@top5: 0.3684 loss_action_cls: 0.0420 2022/12/03 12:10:03 - mmengine - INFO - Epoch(train) [6][4160/4451] lr: 5.1288e-02 eta: 1:41:01 time: 0.3330 data_time: 0.0142 memory: 8510 grad_norm: 0.1534 loss: 0.0485 recall@thr=0.5: 0.3642 prec@thr=0.5: 0.5031 recall@top3: 0.6580 prec@top3: 0.5679 recall@top5: 0.7889 prec@top5: 0.4074 loss_action_cls: 0.0485 2022/12/03 12:10:10 - mmengine - INFO - Epoch(train) [6][4180/4451] lr: 5.1200e-02 eta: 1:40:54 time: 0.3334 data_time: 0.0127 memory: 8510 grad_norm: 0.1582 loss: 0.0424 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.7857 recall@top3: 0.6905 prec@top3: 0.5238 recall@top5: 0.9405 prec@top5: 0.4143 loss_action_cls: 0.0424 2022/12/03 12:10:16 - mmengine - INFO - Epoch(train) [6][4200/4451] lr: 5.1112e-02 eta: 1:40:48 time: 0.3360 data_time: 0.0138 memory: 8510 grad_norm: 0.1572 loss: 0.0453 recall@thr=0.5: 0.5316 prec@thr=0.5: 0.5965 recall@top3: 0.7825 prec@top3: 0.6491 recall@top5: 0.9789 prec@top5: 0.5263 loss_action_cls: 0.0453 2022/12/03 12:10:23 - mmengine - INFO - Epoch(train) [6][4220/4451] lr: 5.1023e-02 eta: 1:40:41 time: 0.3341 data_time: 0.0126 memory: 8510 grad_norm: 0.1526 loss: 0.0418 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.7105 recall@top3: 0.7325 prec@top3: 0.4386 recall@top5: 0.8947 prec@top5: 0.3263 loss_action_cls: 0.0418 2022/12/03 12:10:30 - mmengine - INFO - Epoch(train) [6][4240/4451] lr: 5.0935e-02 eta: 1:40:34 time: 0.3318 data_time: 0.0125 memory: 8510 grad_norm: 0.1642 loss: 0.0439 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.7118 recall@top3: 0.6875 prec@top3: 0.6528 recall@top5: 0.8438 prec@top5: 0.4917 loss_action_cls: 0.0439 2022/12/03 12:10:37 - mmengine - INFO - Epoch(train) [6][4260/4451] lr: 5.0847e-02 eta: 1:40:27 time: 0.3347 data_time: 0.0125 memory: 8510 grad_norm: 0.1571 loss: 0.0482 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6190 recall@top3: 0.8690 prec@top3: 0.6429 recall@top5: 0.9643 prec@top5: 0.4429 loss_action_cls: 0.0482 2022/12/03 12:10:43 - mmengine - INFO - Epoch(train) [6][4280/4451] lr: 5.0759e-02 eta: 1:40:21 time: 0.3347 data_time: 0.0122 memory: 8510 grad_norm: 0.1593 loss: 0.0416 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.7281 recall@top3: 0.8684 prec@top3: 0.7368 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0416 2022/12/03 12:10:50 - mmengine - INFO - Epoch(train) [6][4300/4451] lr: 5.0671e-02 eta: 1:40:14 time: 0.3337 data_time: 0.0122 memory: 8510 grad_norm: 0.1576 loss: 0.0430 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7647 recall@top3: 0.8431 prec@top3: 0.5686 recall@top5: 0.8627 prec@top5: 0.3529 loss_action_cls: 0.0430 2022/12/03 12:10:57 - mmengine - INFO - Epoch(train) [6][4320/4451] lr: 5.0582e-02 eta: 1:40:07 time: 0.3357 data_time: 0.0119 memory: 8510 grad_norm: 0.1607 loss: 0.0479 recall@thr=0.5: 0.5812 prec@thr=0.5: 0.6159 recall@top3: 0.6630 prec@top3: 0.5942 recall@top5: 0.8123 prec@top5: 0.4609 loss_action_cls: 0.0479 2022/12/03 12:11:03 - mmengine - INFO - Epoch(train) [6][4340/4451] lr: 5.0494e-02 eta: 1:40:01 time: 0.3343 data_time: 0.0131 memory: 8510 grad_norm: 0.1522 loss: 0.0441 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7460 recall@top3: 0.8175 prec@top3: 0.6984 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0441 2022/12/03 12:11:10 - mmengine - INFO - Epoch(train) [6][4360/4451] lr: 5.0406e-02 eta: 1:39:54 time: 0.3338 data_time: 0.0128 memory: 8510 grad_norm: 0.1491 loss: 0.0431 recall@thr=0.5: 0.7184 prec@thr=0.5: 0.8506 recall@top3: 0.7931 prec@top3: 0.8391 recall@top5: 0.9828 prec@top5: 0.6069 loss_action_cls: 0.0431 2022/12/03 12:11:17 - mmengine - INFO - Epoch(train) [6][4380/4451] lr: 5.0318e-02 eta: 1:39:47 time: 0.3327 data_time: 0.0137 memory: 8510 grad_norm: 0.1542 loss: 0.0419 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8485 recall@top3: 0.8295 prec@top3: 0.7576 recall@top5: 0.9508 prec@top5: 0.5455 loss_action_cls: 0.0419 2022/12/03 12:11:23 - mmengine - INFO - Epoch(train) [6][4400/4451] lr: 5.0229e-02 eta: 1:39:40 time: 0.3344 data_time: 0.0115 memory: 8510 grad_norm: 0.1602 loss: 0.0442 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.8095 recall@top3: 0.7698 prec@top3: 0.5238 recall@top5: 0.9048 prec@top5: 0.3810 loss_action_cls: 0.0442 2022/12/03 12:11:30 - mmengine - INFO - Epoch(train) [6][4420/4451] lr: 5.0141e-02 eta: 1:39:34 time: 0.3344 data_time: 0.0129 memory: 8510 grad_norm: 0.1537 loss: 0.0452 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6429 recall@top3: 0.6905 prec@top3: 0.5238 recall@top5: 0.7857 prec@top5: 0.3619 loss_action_cls: 0.0452 2022/12/03 12:11:37 - mmengine - INFO - Epoch(train) [6][4440/4451] lr: 5.0053e-02 eta: 1:39:27 time: 0.3337 data_time: 0.0115 memory: 8510 grad_norm: 0.1517 loss: 0.0424 recall@thr=0.5: 0.6198 prec@thr=0.5: 0.6875 recall@top3: 0.7917 prec@top3: 0.5833 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0424 2022/12/03 12:11:40 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:11:40 - mmengine - INFO - Epoch(train) [6][4451/4451] lr: 5.0004e-02 eta: 1:39:23 time: 0.3276 data_time: 0.0116 memory: 8510 grad_norm: 0.1578 loss: 0.0403 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8000 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0403 2022/12/03 12:11:40 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/12/03 12:11:46 - mmengine - INFO - Epoch(val) [6][ 20/6282] eta: 0:06:58 time: 0.0669 data_time: 0.0241 memory: 662 2022/12/03 12:11:47 - mmengine - INFO - Epoch(val) [6][ 40/6282] eta: 0:06:00 time: 0.0486 data_time: 0.0066 memory: 662 2022/12/03 12:11:48 - mmengine - INFO - Epoch(val) [6][ 60/6282] eta: 0:05:37 time: 0.0471 data_time: 0.0072 memory: 662 2022/12/03 12:11:49 - mmengine - INFO - Epoch(val) [6][ 80/6282] eta: 0:05:33 time: 0.0526 data_time: 0.0098 memory: 662 2022/12/03 12:11:50 - mmengine - INFO - Epoch(val) [6][ 100/6282] eta: 0:05:21 time: 0.0448 data_time: 0.0052 memory: 662 2022/12/03 12:11:51 - mmengine - INFO - Epoch(val) [6][ 120/6282] eta: 0:05:24 time: 0.0561 data_time: 0.0087 memory: 733 2022/12/03 12:11:53 - mmengine - INFO - Epoch(val) [6][ 140/6282] eta: 0:05:25 time: 0.0554 data_time: 0.0068 memory: 733 2022/12/03 12:11:54 - mmengine - INFO - Epoch(val) [6][ 160/6282] eta: 0:05:26 time: 0.0556 data_time: 0.0061 memory: 733 2022/12/03 12:11:55 - mmengine - INFO - Epoch(val) [6][ 180/6282] eta: 0:05:29 time: 0.0592 data_time: 0.0066 memory: 733 2022/12/03 12:11:56 - mmengine - INFO - Epoch(val) [6][ 200/6282] eta: 0:05:29 time: 0.0560 data_time: 0.0076 memory: 733 2022/12/03 12:11:57 - mmengine - INFO - Epoch(val) [6][ 220/6282] eta: 0:05:26 time: 0.0496 data_time: 0.0067 memory: 674 2022/12/03 12:11:58 - mmengine - INFO - Epoch(val) [6][ 240/6282] eta: 0:05:24 time: 0.0522 data_time: 0.0057 memory: 674 2022/12/03 12:11:59 - mmengine - INFO - Epoch(val) [6][ 260/6282] eta: 0:05:22 time: 0.0518 data_time: 0.0067 memory: 674 2022/12/03 12:12:00 - mmengine - INFO - Epoch(val) [6][ 280/6282] eta: 0:05:20 time: 0.0518 data_time: 0.0089 memory: 674 2022/12/03 12:12:01 - mmengine - INFO - Epoch(val) [6][ 300/6282] eta: 0:05:20 time: 0.0564 data_time: 0.0084 memory: 733 2022/12/03 12:12:02 - mmengine - INFO - Epoch(val) [6][ 320/6282] eta: 0:05:22 time: 0.0605 data_time: 0.0096 memory: 733 2022/12/03 12:12:04 - mmengine - INFO - Epoch(val) [6][ 340/6282] eta: 0:05:24 time: 0.0624 data_time: 0.0108 memory: 733 2022/12/03 12:12:05 - mmengine - INFO - Epoch(val) [6][ 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time: 0.0508 data_time: 0.0080 memory: 674 2022/12/03 12:12:15 - mmengine - INFO - Epoch(val) [6][ 540/6282] eta: 0:05:12 time: 0.0522 data_time: 0.0078 memory: 674 2022/12/03 12:12:16 - mmengine - INFO - Epoch(val) [6][ 560/6282] eta: 0:05:10 time: 0.0499 data_time: 0.0060 memory: 674 2022/12/03 12:12:17 - mmengine - INFO - Epoch(val) [6][ 580/6282] eta: 0:05:08 time: 0.0523 data_time: 0.0068 memory: 674 2022/12/03 12:12:18 - mmengine - INFO - Epoch(val) [6][ 600/6282] eta: 0:05:08 time: 0.0585 data_time: 0.0110 memory: 674 2022/12/03 12:12:19 - mmengine - INFO - Epoch(val) [6][ 620/6282] eta: 0:05:07 time: 0.0543 data_time: 0.0085 memory: 674 2022/12/03 12:12:20 - mmengine - INFO - Epoch(val) [6][ 640/6282] eta: 0:05:05 time: 0.0510 data_time: 0.0076 memory: 670 2022/12/03 12:12:21 - mmengine - INFO - Epoch(val) [6][ 660/6282] eta: 0:05:03 time: 0.0493 data_time: 0.0056 memory: 670 2022/12/03 12:12:22 - mmengine - INFO - Epoch(val) [6][ 680/6282] eta: 0:05:02 time: 0.0486 data_time: 0.0084 memory: 670 2022/12/03 12:12:23 - mmengine - INFO - Epoch(val) [6][ 700/6282] eta: 0:05:00 time: 0.0497 data_time: 0.0090 memory: 670 2022/12/03 12:12:24 - mmengine - INFO - Epoch(val) [6][ 720/6282] eta: 0:04:59 time: 0.0541 data_time: 0.0069 memory: 733 2022/12/03 12:12:25 - mmengine - INFO - Epoch(val) [6][ 740/6282] eta: 0:05:00 time: 0.0671 data_time: 0.0203 memory: 733 2022/12/03 12:12:27 - mmengine - INFO - Epoch(val) [6][ 760/6282] eta: 0:05:01 time: 0.0701 data_time: 0.0195 memory: 733 2022/12/03 12:12:28 - mmengine - INFO - Epoch(val) [6][ 780/6282] eta: 0:05:03 time: 0.0782 data_time: 0.0297 memory: 733 2022/12/03 12:12:30 - mmengine - INFO - Epoch(val) [6][ 800/6282] eta: 0:05:04 time: 0.0706 data_time: 0.0192 memory: 733 2022/12/03 12:12:31 - mmengine - INFO - Epoch(val) [6][ 820/6282] eta: 0:05:04 time: 0.0617 data_time: 0.0103 memory: 733 2022/12/03 12:12:32 - mmengine - INFO - Epoch(val) [6][ 840/6282] eta: 0:05:03 time: 0.0545 data_time: 0.0101 memory: 674 2022/12/03 12:12:33 - mmengine - INFO - Epoch(val) [6][ 860/6282] eta: 0:05:01 time: 0.0529 data_time: 0.0098 memory: 674 2022/12/03 12:12:34 - mmengine - INFO - Epoch(val) [6][ 880/6282] eta: 0:05:00 time: 0.0528 data_time: 0.0087 memory: 674 2022/12/03 12:12:35 - mmengine - INFO - Epoch(val) [6][ 900/6282] eta: 0:04:59 time: 0.0585 data_time: 0.0098 memory: 674 2022/12/03 12:12:36 - mmengine - INFO - Epoch(val) [6][ 920/6282] eta: 0:04:58 time: 0.0546 data_time: 0.0082 memory: 674 2022/12/03 12:12:37 - mmengine - INFO - Epoch(val) [6][ 940/6282] eta: 0:04:56 time: 0.0510 data_time: 0.0072 memory: 662 2022/12/03 12:12:38 - mmengine - INFO - Epoch(val) [6][ 960/6282] eta: 0:04:54 time: 0.0510 data_time: 0.0067 memory: 662 2022/12/03 12:12:40 - mmengine - INFO - Epoch(val) [6][ 980/6282] eta: 0:04:53 time: 0.0529 data_time: 0.0109 memory: 662 2022/12/03 12:12:41 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:04:51 time: 0.0501 data_time: 0.0072 memory: 662 2022/12/03 12:12:42 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:04:50 time: 0.0557 data_time: 0.0073 memory: 674 2022/12/03 12:12:43 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:04:49 time: 0.0574 data_time: 0.0083 memory: 674 2022/12/03 12:12:44 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:04:48 time: 0.0525 data_time: 0.0064 memory: 674 2022/12/03 12:12:45 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:04:47 time: 0.0519 data_time: 0.0068 memory: 674 2022/12/03 12:12:46 - mmengine - INFO - Epoch(val) [6][1100/6282] eta: 0:04:45 time: 0.0544 data_time: 0.0064 memory: 674 2022/12/03 12:12:47 - mmengine - INFO - Epoch(val) [6][1120/6282] eta: 0:04:44 time: 0.0514 data_time: 0.0053 memory: 674 2022/12/03 12:12:48 - mmengine - INFO - Epoch(val) [6][1140/6282] eta: 0:04:43 time: 0.0551 data_time: 0.0102 memory: 674 2022/12/03 12:12:49 - mmengine - INFO - Epoch(val) [6][1160/6282] eta: 0:04:41 time: 0.0492 data_time: 0.0091 memory: 674 2022/12/03 12:12:50 - mmengine - INFO - Epoch(val) [6][1180/6282] eta: 0:04:40 time: 0.0543 data_time: 0.0099 memory: 674 2022/12/03 12:12:51 - mmengine - INFO - Epoch(val) [6][1200/6282] eta: 0:04:39 time: 0.0529 data_time: 0.0097 memory: 674 2022/12/03 12:12:52 - mmengine - INFO - Epoch(val) [6][1220/6282] eta: 0:04:37 time: 0.0497 data_time: 0.0049 memory: 674 2022/12/03 12:12:54 - mmengine - INFO - Epoch(val) [6][1240/6282] eta: 0:04:37 time: 0.0618 data_time: 0.0131 memory: 733 2022/12/03 12:12:55 - mmengine - INFO - Epoch(val) [6][1260/6282] eta: 0:04:36 time: 0.0575 data_time: 0.0105 memory: 733 2022/12/03 12:12:56 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:04:36 time: 0.0700 data_time: 0.0249 memory: 733 2022/12/03 12:12:57 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:04:35 time: 0.0601 data_time: 0.0098 memory: 733 2022/12/03 12:12:59 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:04:35 time: 0.0653 data_time: 0.0175 memory: 733 2022/12/03 12:13:00 - mmengine - INFO - Epoch(val) 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0:04:26 time: 0.0524 data_time: 0.0067 memory: 733 2022/12/03 12:13:10 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:04:25 time: 0.0523 data_time: 0.0061 memory: 820 2022/12/03 12:13:11 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:04:24 time: 0.0568 data_time: 0.0065 memory: 820 2022/12/03 12:13:12 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:04:23 time: 0.0591 data_time: 0.0071 memory: 820 2022/12/03 12:13:14 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:04:22 time: 0.0580 data_time: 0.0062 memory: 820 2022/12/03 12:13:15 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:04:21 time: 0.0567 data_time: 0.0084 memory: 820 2022/12/03 12:13:16 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:04:20 time: 0.0598 data_time: 0.0079 memory: 820 2022/12/03 12:13:17 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:04:19 time: 0.0568 data_time: 0.0086 memory: 733 2022/12/03 12:13:18 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:04:18 time: 0.0540 data_time: 0.0087 memory: 733 2022/12/03 12:13:19 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:04:17 time: 0.0644 data_time: 0.0044 memory: 733 2022/12/03 12:13:21 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:04:16 time: 0.0535 data_time: 0.0051 memory: 733 2022/12/03 12:13:22 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:04:15 time: 0.0535 data_time: 0.0071 memory: 733 2022/12/03 12:13:23 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:04:14 time: 0.0536 data_time: 0.0075 memory: 733 2022/12/03 12:13:24 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:04:12 time: 0.0553 data_time: 0.0067 memory: 733 2022/12/03 12:13:25 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:04:11 time: 0.0575 data_time: 0.0060 memory: 733 2022/12/03 12:13:26 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:04:10 time: 0.0574 data_time: 0.0057 memory: 733 2022/12/03 12:13:27 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:04:09 time: 0.0505 data_time: 0.0054 memory: 733 2022/12/03 12:13:28 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:04:08 time: 0.0580 data_time: 0.0052 memory: 733 2022/12/03 12:13:30 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:04:07 time: 0.0636 data_time: 0.0090 memory: 733 2022/12/03 12:13:31 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:04:06 time: 0.0580 data_time: 0.0084 memory: 733 2022/12/03 12:13:32 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:04:05 time: 0.0597 data_time: 0.0120 memory: 733 2022/12/03 12:13:33 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:04:04 time: 0.0637 data_time: 0.0146 memory: 733 2022/12/03 12:13:35 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:04:04 time: 0.0662 data_time: 0.0075 memory: 733 2022/12/03 12:13:36 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:04:02 time: 0.0538 data_time: 0.0099 memory: 679 2022/12/03 12:13:37 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:04:01 time: 0.0525 data_time: 0.0081 memory: 679 2022/12/03 12:13:38 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:04:00 time: 0.0542 data_time: 0.0091 memory: 679 2022/12/03 12:13:39 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:03:59 time: 0.0513 data_time: 0.0090 memory: 679 2022/12/03 12:13:40 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:03:57 time: 0.0541 data_time: 0.0101 memory: 679 2022/12/03 12:13:41 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:03:56 time: 0.0537 data_time: 0.0098 memory: 679 2022/12/03 12:13:42 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:03:55 time: 0.0498 data_time: 0.0088 memory: 679 2022/12/03 12:13:43 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:03:54 time: 0.0599 data_time: 0.0095 memory: 679 2022/12/03 12:13:44 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:03:53 time: 0.0547 data_time: 0.0077 memory: 679 2022/12/03 12:13:45 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:03:51 time: 0.0529 data_time: 0.0087 memory: 679 2022/12/03 12:13:46 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:03:50 time: 0.0533 data_time: 0.0066 memory: 674 2022/12/03 12:13:48 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:03:49 time: 0.0568 data_time: 0.0104 memory: 674 2022/12/03 12:13:49 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:03:48 time: 0.0539 data_time: 0.0070 memory: 674 2022/12/03 12:13:50 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:03:47 time: 0.0564 data_time: 0.0094 memory: 674 2022/12/03 12:13:51 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:03:46 time: 0.0547 data_time: 0.0085 memory: 674 2022/12/03 12:13:52 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:03:44 time: 0.0499 data_time: 0.0073 memory: 679 2022/12/03 12:13:53 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:03:43 time: 0.0471 data_time: 0.0066 memory: 679 2022/12/03 12:13:54 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:03:42 time: 0.0521 data_time: 0.0084 memory: 679 2022/12/03 12:13:55 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:03:41 time: 0.0549 data_time: 0.0102 memory: 679 2022/12/03 12:13:56 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:03:39 time: 0.0548 data_time: 0.0082 memory: 679 2022/12/03 12:13:57 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:03:38 time: 0.0515 data_time: 0.0081 memory: 674 2022/12/03 12:13:58 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:03:37 time: 0.0554 data_time: 0.0091 memory: 674 2022/12/03 12:13:59 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:03:36 time: 0.0498 data_time: 0.0063 memory: 674 2022/12/03 12:14:00 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:03:34 time: 0.0501 data_time: 0.0075 memory: 674 2022/12/03 12:14:01 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:03:33 time: 0.0501 data_time: 0.0079 memory: 674 2022/12/03 12:14:02 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:03:32 time: 0.0558 data_time: 0.0096 memory: 733 2022/12/03 12:14:04 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:03:31 time: 0.0588 data_time: 0.0098 memory: 733 2022/12/03 12:14:05 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:03:30 time: 0.0534 data_time: 0.0087 memory: 733 2022/12/03 12:14:06 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:03:29 time: 0.0575 data_time: 0.0070 memory: 733 2022/12/03 12:14:07 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:03:28 time: 0.0580 data_time: 0.0082 memory: 733 2022/12/03 12:14:08 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:03:27 time: 0.0544 data_time: 0.0063 memory: 733 2022/12/03 12:14:09 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:03:26 time: 0.0606 data_time: 0.0152 memory: 733 2022/12/03 12:14:10 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:03:25 time: 0.0585 data_time: 0.0110 memory: 733 2022/12/03 12:14:12 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:03:24 time: 0.0656 data_time: 0.0210 memory: 733 2022/12/03 12:14:13 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:03:23 time: 0.0615 data_time: 0.0041 memory: 733 2022/12/03 12:14:14 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:03:22 time: 0.0585 data_time: 0.0076 memory: 812 2022/12/03 12:14:15 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:03:21 time: 0.0579 data_time: 0.0073 memory: 812 2022/12/03 12:14:16 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:03:20 time: 0.0590 data_time: 0.0096 memory: 812 2022/12/03 12:14:18 - mmengine - INFO - Epoch(val) [6][2720/6282] eta: 0:03:19 time: 0.0632 data_time: 0.0077 memory: 812 2022/12/03 12:14:19 - mmengine - INFO - Epoch(val) [6][2740/6282] eta: 0:03:18 time: 0.0587 data_time: 0.0052 memory: 812 2022/12/03 12:14:20 - mmengine - INFO - Epoch(val) [6][2760/6282] eta: 0:03:16 time: 0.0543 data_time: 0.0076 memory: 679 2022/12/03 12:14:21 - mmengine - INFO - Epoch(val) [6][2780/6282] eta: 0:03:15 time: 0.0530 data_time: 0.0099 memory: 679 2022/12/03 12:14:22 - mmengine - INFO - Epoch(val) [6][2800/6282] eta: 0:03:14 time: 0.0508 data_time: 0.0073 memory: 679 2022/12/03 12:14:23 - mmengine - INFO - Epoch(val) [6][2820/6282] eta: 0:03:13 time: 0.0555 data_time: 0.0100 memory: 679 2022/12/03 12:14:24 - mmengine - INFO - Epoch(val) [6][2840/6282] eta: 0:03:12 time: 0.0503 data_time: 0.0062 memory: 679 2022/12/03 12:14:25 - mmengine - INFO - Epoch(val) [6][2860/6282] eta: 0:03:11 time: 0.0537 data_time: 0.0085 memory: 733 2022/12/03 12:14:26 - mmengine - INFO - Epoch(val) [6][2880/6282] eta: 0:03:09 time: 0.0552 data_time: 0.0094 memory: 733 2022/12/03 12:14:28 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:03:08 time: 0.0567 data_time: 0.0060 memory: 733 2022/12/03 12:14:29 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:03:07 time: 0.0518 data_time: 0.0069 memory: 733 2022/12/03 12:14:30 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:03:06 time: 0.0531 data_time: 0.0085 memory: 702 2022/12/03 12:14:31 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:03:05 time: 0.0541 data_time: 0.0056 memory: 702 2022/12/03 12:14:32 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:03:04 time: 0.0524 data_time: 0.0057 memory: 702 2022/12/03 12:14:33 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:03:02 time: 0.0508 data_time: 0.0058 memory: 702 2022/12/03 12:14:34 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:03:01 time: 0.0549 data_time: 0.0080 memory: 733 2022/12/03 12:14:35 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:03:00 time: 0.0538 data_time: 0.0063 memory: 733 2022/12/03 12:14:36 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:02:59 time: 0.0545 data_time: 0.0080 memory: 733 2022/12/03 12:14:37 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:02:58 time: 0.0618 data_time: 0.0081 memory: 733 2022/12/03 12:14:38 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:02:57 time: 0.0542 data_time: 0.0077 memory: 733 2022/12/03 12:14:39 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:02:56 time: 0.0517 data_time: 0.0105 memory: 679 2022/12/03 12:14:40 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:02:54 time: 0.0515 data_time: 0.0048 memory: 679 2022/12/03 12:14:41 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:02:53 time: 0.0501 data_time: 0.0071 memory: 679 2022/12/03 12:14:43 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:02:52 time: 0.0519 data_time: 0.0083 memory: 679 2022/12/03 12:14:44 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:02:51 time: 0.0538 data_time: 0.0083 memory: 733 2022/12/03 12:14:45 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:02:50 time: 0.0558 data_time: 0.0061 memory: 733 2022/12/03 12:14:46 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:02:49 time: 0.0534 data_time: 0.0069 memory: 733 2022/12/03 12:14:47 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:02:47 time: 0.0534 data_time: 0.0058 memory: 733 2022/12/03 12:14:48 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:02:46 time: 0.0533 data_time: 0.0056 memory: 733 2022/12/03 12:14:49 - mmengine - INFO - Epoch(val) 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0:02:36 time: 0.0549 data_time: 0.0075 memory: 674 2022/12/03 12:14:59 - mmengine - INFO - Epoch(val) [6][3480/6282] eta: 0:02:35 time: 0.0521 data_time: 0.0084 memory: 674 2022/12/03 12:15:00 - mmengine - INFO - Epoch(val) [6][3500/6282] eta: 0:02:34 time: 0.0507 data_time: 0.0084 memory: 674 2022/12/03 12:15:01 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:02:33 time: 0.0472 data_time: 0.0063 memory: 674 2022/12/03 12:15:02 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:02:32 time: 0.0513 data_time: 0.0059 memory: 674 2022/12/03 12:15:03 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:02:30 time: 0.0508 data_time: 0.0044 memory: 674 2022/12/03 12:15:04 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:29 time: 0.0554 data_time: 0.0096 memory: 716 2022/12/03 12:15:05 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:02:28 time: 0.0544 data_time: 0.0084 memory: 716 2022/12/03 12:15:06 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:02:27 time: 0.0537 data_time: 0.0074 memory: 716 2022/12/03 12:15:07 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:02:26 time: 0.0546 data_time: 0.0074 memory: 716 2022/12/03 12:15:08 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:02:25 time: 0.0520 data_time: 0.0100 memory: 716 2022/12/03 12:15:10 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:02:24 time: 0.0524 data_time: 0.0067 memory: 733 2022/12/03 12:15:11 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:02:22 time: 0.0553 data_time: 0.0080 memory: 733 2022/12/03 12:15:12 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:02:21 time: 0.0557 data_time: 0.0085 memory: 733 2022/12/03 12:15:13 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:02:20 time: 0.0575 data_time: 0.0074 memory: 733 2022/12/03 12:15:14 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:02:19 time: 0.0552 data_time: 0.0067 memory: 733 2022/12/03 12:15:15 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:02:18 time: 0.0547 data_time: 0.0067 memory: 733 2022/12/03 12:15:16 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:02:17 time: 0.0544 data_time: 0.0081 memory: 733 2022/12/03 12:15:17 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:02:16 time: 0.0562 data_time: 0.0068 memory: 733 2022/12/03 12:15:18 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:02:15 time: 0.0570 data_time: 0.0084 memory: 733 2022/12/03 12:15:20 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:02:14 time: 0.0592 data_time: 0.0105 memory: 733 2022/12/03 12:15:21 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:02:13 time: 0.0558 data_time: 0.0090 memory: 733 2022/12/03 12:15:22 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:02:11 time: 0.0544 data_time: 0.0073 memory: 733 2022/12/03 12:15:23 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:02:10 time: 0.0561 data_time: 0.0063 memory: 733 2022/12/03 12:15:24 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:02:09 time: 0.0563 data_time: 0.0084 memory: 733 2022/12/03 12:15:25 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:02:08 time: 0.0525 data_time: 0.0063 memory: 733 2022/12/03 12:15:27 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:02:07 time: 0.0748 data_time: 0.0062 memory: 733 2022/12/03 12:15:28 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:02:06 time: 0.0532 data_time: 0.0072 memory: 733 2022/12/03 12:15:29 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:02:05 time: 0.0534 data_time: 0.0078 memory: 733 2022/12/03 12:15:30 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:02:04 time: 0.0633 data_time: 0.0073 memory: 812 2022/12/03 12:15:31 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:02:03 time: 0.0542 data_time: 0.0053 memory: 812 2022/12/03 12:15:32 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:02:02 time: 0.0578 data_time: 0.0061 memory: 812 2022/12/03 12:15:34 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:02:01 time: 0.0634 data_time: 0.0090 memory: 812 2022/12/03 12:15:35 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:02:00 time: 0.0584 data_time: 0.0086 memory: 812 2022/12/03 12:15:36 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:01:59 time: 0.0602 data_time: 0.0086 memory: 812 2022/12/03 12:15:37 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:01:57 time: 0.0484 data_time: 0.0065 memory: 674 2022/12/03 12:15:38 - mmengine - INFO - Epoch(val) [6][4180/6282] eta: 0:01:56 time: 0.0548 data_time: 0.0098 memory: 674 2022/12/03 12:15:39 - mmengine - INFO - Epoch(val) [6][4200/6282] eta: 0:01:55 time: 0.0529 data_time: 0.0070 memory: 674 2022/12/03 12:15:40 - mmengine - INFO - Epoch(val) [6][4220/6282] eta: 0:01:54 time: 0.0559 data_time: 0.0068 memory: 674 2022/12/03 12:15:41 - mmengine - INFO - Epoch(val) [6][4240/6282] eta: 0:01:53 time: 0.0506 data_time: 0.0071 memory: 674 2022/12/03 12:15:42 - mmengine - INFO - Epoch(val) [6][4260/6282] eta: 0:01:52 time: 0.0522 data_time: 0.0095 memory: 673 2022/12/03 12:15:43 - mmengine - INFO - Epoch(val) 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0:01:42 time: 0.0537 data_time: 0.0058 memory: 740 2022/12/03 12:15:53 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:01:40 time: 0.0576 data_time: 0.0076 memory: 740 2022/12/03 12:15:54 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:01:39 time: 0.0592 data_time: 0.0075 memory: 740 2022/12/03 12:15:55 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:01:38 time: 0.0562 data_time: 0.0055 memory: 740 2022/12/03 12:15:57 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:01:37 time: 0.0582 data_time: 0.0073 memory: 740 2022/12/03 12:15:58 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:36 time: 0.0584 data_time: 0.0119 memory: 679 2022/12/03 12:15:59 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:35 time: 0.0480 data_time: 0.0072 memory: 679 2022/12/03 12:16:00 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:34 time: 0.0510 data_time: 0.0060 memory: 679 2022/12/03 12:16:01 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:01:33 time: 0.0513 data_time: 0.0092 memory: 679 2022/12/03 12:16:02 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:32 time: 0.0509 data_time: 0.0068 memory: 679 2022/12/03 12:16:03 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:01:30 time: 0.0564 data_time: 0.0068 memory: 740 2022/12/03 12:16:04 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:01:29 time: 0.0581 data_time: 0.0069 memory: 740 2022/12/03 12:16:05 - mmengine - INFO - Epoch(val) [6][4680/6282] eta: 0:01:28 time: 0.0546 data_time: 0.0095 memory: 740 2022/12/03 12:16:06 - mmengine - INFO - Epoch(val) [6][4700/6282] eta: 0:01:27 time: 0.0594 data_time: 0.0090 memory: 740 2022/12/03 12:16:08 - mmengine - INFO - Epoch(val) [6][4720/6282] eta: 0:01:26 time: 0.0572 data_time: 0.0082 memory: 740 2022/12/03 12:16:09 - mmengine - INFO - Epoch(val) [6][4740/6282] eta: 0:01:25 time: 0.0519 data_time: 0.0094 memory: 699 2022/12/03 12:16:10 - mmengine - INFO - Epoch(val) [6][4760/6282] eta: 0:01:24 time: 0.0524 data_time: 0.0087 memory: 699 2022/12/03 12:16:11 - mmengine - INFO - Epoch(val) [6][4780/6282] eta: 0:01:23 time: 0.0541 data_time: 0.0082 memory: 699 2022/12/03 12:16:12 - mmengine - INFO - Epoch(val) [6][4800/6282] eta: 0:01:22 time: 0.0541 data_time: 0.0073 memory: 699 2022/12/03 12:16:13 - mmengine - INFO - Epoch(val) [6][4820/6282] eta: 0:01:20 time: 0.0540 data_time: 0.0088 memory: 733 2022/12/03 12:16:14 - mmengine - INFO - Epoch(val) [6][4840/6282] eta: 0:01:19 time: 0.0548 data_time: 0.0070 memory: 733 2022/12/03 12:16:15 - mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:18 time: 0.0537 data_time: 0.0068 memory: 733 2022/12/03 12:16:16 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:17 time: 0.0560 data_time: 0.0079 memory: 733 2022/12/03 12:16:17 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:16 time: 0.0565 data_time: 0.0078 memory: 733 2022/12/03 12:16:18 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:15 time: 0.0561 data_time: 0.0053 memory: 736 2022/12/03 12:16:20 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:14 time: 0.0565 data_time: 0.0083 memory: 736 2022/12/03 12:16:21 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:01:13 time: 0.0560 data_time: 0.0077 memory: 736 2022/12/03 12:16:22 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:12 time: 0.0548 data_time: 0.0080 memory: 736 2022/12/03 12:16:23 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:01:10 time: 0.0541 data_time: 0.0059 memory: 736 2022/12/03 12:16:24 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:01:09 time: 0.0581 data_time: 0.0084 memory: 736 2022/12/03 12:16:25 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:01:08 time: 0.0539 data_time: 0.0085 memory: 679 2022/12/03 12:16:26 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:01:07 time: 0.0510 data_time: 0.0080 memory: 679 2022/12/03 12:16:27 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:01:06 time: 0.0538 data_time: 0.0085 memory: 679 2022/12/03 12:16:28 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:01:05 time: 0.0527 data_time: 0.0105 memory: 679 2022/12/03 12:16:29 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:01:04 time: 0.0571 data_time: 0.0094 memory: 679 2022/12/03 12:16:30 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:01:03 time: 0.0505 data_time: 0.0076 memory: 674 2022/12/03 12:16:32 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:01:02 time: 0.0535 data_time: 0.0098 memory: 674 2022/12/03 12:16:33 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:01:00 time: 0.0556 data_time: 0.0092 memory: 674 2022/12/03 12:16:34 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:00:59 time: 0.0564 data_time: 0.0072 memory: 674 2022/12/03 12:16:35 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:00:58 time: 0.0500 data_time: 0.0064 memory: 674 2022/12/03 12:16:36 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:00:57 time: 0.0550 data_time: 0.0068 memory: 673 2022/12/03 12:16:37 - mmengine - INFO - Epoch(val) 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0:00:47 time: 0.0518 data_time: 0.0074 memory: 674 2022/12/03 12:16:47 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:46 time: 0.0516 data_time: 0.0078 memory: 674 2022/12/03 12:16:48 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:45 time: 0.0517 data_time: 0.0082 memory: 674 2022/12/03 12:16:49 - mmengine - INFO - Epoch(val) [6][5480/6282] eta: 0:00:44 time: 0.0541 data_time: 0.0073 memory: 674 2022/12/03 12:16:50 - mmengine - INFO - Epoch(val) [6][5500/6282] eta: 0:00:43 time: 0.0533 data_time: 0.0062 memory: 674 2022/12/03 12:16:51 - mmengine - INFO - Epoch(val) [6][5520/6282] eta: 0:00:42 time: 0.0521 data_time: 0.0070 memory: 695 2022/12/03 12:16:52 - mmengine - INFO - Epoch(val) [6][5540/6282] eta: 0:00:40 time: 0.0538 data_time: 0.0075 memory: 695 2022/12/03 12:16:53 - mmengine - INFO - Epoch(val) [6][5560/6282] eta: 0:00:39 time: 0.0535 data_time: 0.0077 memory: 695 2022/12/03 12:16:54 - mmengine - INFO - Epoch(val) [6][5580/6282] eta: 0:00:38 time: 0.0521 data_time: 0.0069 memory: 695 2022/12/03 12:16:55 - mmengine - INFO - Epoch(val) [6][5600/6282] eta: 0:00:37 time: 0.0579 data_time: 0.0087 memory: 695 2022/12/03 12:16:56 - mmengine - INFO - Epoch(val) [6][5620/6282] eta: 0:00:36 time: 0.0536 data_time: 0.0065 memory: 695 2022/12/03 12:16:58 - mmengine - INFO - Epoch(val) [6][5640/6282] eta: 0:00:35 time: 0.0538 data_time: 0.0079 memory: 674 2022/12/03 12:16:59 - mmengine - INFO - Epoch(val) [6][5660/6282] eta: 0:00:34 time: 0.0546 data_time: 0.0110 memory: 674 2022/12/03 12:17:00 - mmengine - INFO - Epoch(val) [6][5680/6282] eta: 0:00:33 time: 0.0544 data_time: 0.0082 memory: 674 2022/12/03 12:17:01 - mmengine - INFO - Epoch(val) [6][5700/6282] eta: 0:00:32 time: 0.0552 data_time: 0.0097 memory: 674 2022/12/03 12:17:02 - mmengine - INFO - Epoch(val) [6][5720/6282] eta: 0:00:31 time: 0.0522 data_time: 0.0078 memory: 708 2022/12/03 12:17:03 - mmengine - INFO - Epoch(val) [6][5740/6282] eta: 0:00:29 time: 0.0530 data_time: 0.0058 memory: 708 2022/12/03 12:17:04 - mmengine - INFO - Epoch(val) [6][5760/6282] eta: 0:00:28 time: 0.0590 data_time: 0.0121 memory: 708 2022/12/03 12:17:05 - mmengine - INFO - Epoch(val) [6][5780/6282] eta: 0:00:27 time: 0.0546 data_time: 0.0062 memory: 708 2022/12/03 12:17:06 - mmengine - INFO - Epoch(val) [6][5800/6282] eta: 0:00:26 time: 0.0563 data_time: 0.0079 memory: 708 2022/12/03 12:17:07 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:25 time: 0.0562 data_time: 0.0093 memory: 708 2022/12/03 12:17:09 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:24 time: 0.0538 data_time: 0.0084 memory: 695 2022/12/03 12:17:10 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:23 time: 0.0535 data_time: 0.0076 memory: 695 2022/12/03 12:17:11 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:22 time: 0.0542 data_time: 0.0058 memory: 695 2022/12/03 12:17:12 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:21 time: 0.0555 data_time: 0.0070 memory: 695 2022/12/03 12:17:13 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:19 time: 0.0485 data_time: 0.0079 memory: 695 2022/12/03 12:17:14 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:18 time: 0.0550 data_time: 0.0089 memory: 674 2022/12/03 12:17:15 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:17 time: 0.0514 data_time: 0.0051 memory: 674 2022/12/03 12:17:16 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:16 time: 0.0528 data_time: 0.0078 memory: 674 2022/12/03 12:17:17 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:15 time: 0.0546 data_time: 0.0073 memory: 733 2022/12/03 12:17:18 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:14 time: 0.0616 data_time: 0.0107 memory: 733 2022/12/03 12:17:19 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:13 time: 0.0567 data_time: 0.0091 memory: 733 2022/12/03 12:17:21 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:12 time: 0.0553 data_time: 0.0084 memory: 733 2022/12/03 12:17:22 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:11 time: 0.0602 data_time: 0.0104 memory: 733 2022/12/03 12:17:23 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:10 time: 0.0550 data_time: 0.0067 memory: 733 2022/12/03 12:17:24 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:08 time: 0.0544 data_time: 0.0078 memory: 733 2022/12/03 12:17:25 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:07 time: 0.0570 data_time: 0.0069 memory: 733 2022/12/03 12:17:26 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:06 time: 0.0572 data_time: 0.0062 memory: 733 2022/12/03 12:17:27 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:05 time: 0.0615 data_time: 0.0052 memory: 733 2022/12/03 12:17:28 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:04 time: 0.0492 data_time: 0.0053 memory: 733 2022/12/03 12:17:29 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:03 time: 0.0395 data_time: 0.0035 memory: 733 2022/12/03 12:17:30 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:02 time: 0.0372 data_time: 0.0029 memory: 733 2022/12/03 12:17:31 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:01 time: 0.0370 data_time: 0.0027 memory: 733 2022/12/03 12:17:31 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0349 data_time: 0.0022 memory: 733 2022/12/03 12:22:30 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.2593 2022/12/03 12:22:30 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_5.pth is removed 2022/12/03 12:22:33 - mmengine - INFO - The best checkpoint with 0.2593 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2022/12/03 12:22:40 - mmengine - INFO - Epoch(train) [7][ 20/4451] lr: 4.9916e-02 eta: 1:39:17 time: 0.3840 data_time: 0.0599 memory: 8510 grad_norm: 0.1486 loss: 0.0463 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5000 recall@top3: 0.5648 prec@top3: 0.4815 recall@top5: 0.8148 prec@top5: 0.4444 loss_action_cls: 0.0463 2022/12/03 12:22:47 - mmengine - INFO - Epoch(train) [7][ 40/4451] lr: 4.9828e-02 eta: 1:39:10 time: 0.3334 data_time: 0.0151 memory: 8510 grad_norm: 0.1608 loss: 0.0380 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6190 recall@top3: 0.7238 prec@top3: 0.6190 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0380 2022/12/03 12:22:54 - mmengine - INFO - Epoch(train) [7][ 60/4451] lr: 4.9740e-02 eta: 1:39:04 time: 0.3358 data_time: 0.0135 memory: 8510 grad_norm: 0.1569 loss: 0.0458 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.7132 recall@top3: 0.7500 prec@top3: 0.5972 recall@top5: 0.8264 prec@top5: 0.4000 loss_action_cls: 0.0458 2022/12/03 12:23:01 - mmengine - INFO - Epoch(train) [7][ 80/4451] lr: 4.9652e-02 eta: 1:38:57 time: 0.3345 data_time: 0.0134 memory: 8510 grad_norm: 0.1565 loss: 0.0432 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.9091 recall@top3: 0.9356 prec@top3: 0.8788 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0432 2022/12/03 12:23:07 - mmengine - INFO - Epoch(train) [7][ 100/4451] lr: 4.9563e-02 eta: 1:38:50 time: 0.3339 data_time: 0.0102 memory: 8510 grad_norm: 0.1579 loss: 0.0442 recall@thr=0.5: 0.6125 prec@thr=0.5: 0.6000 recall@top3: 0.7917 prec@top3: 0.6333 recall@top5: 0.8917 prec@top5: 0.4500 loss_action_cls: 0.0442 2022/12/03 12:23:14 - mmengine - INFO - Epoch(train) [7][ 120/4451] lr: 4.9475e-02 eta: 1:38:44 time: 0.3346 data_time: 0.0132 memory: 8510 grad_norm: 0.1567 loss: 0.0385 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.7460 recall@top3: 0.7222 prec@top3: 0.6032 recall@top5: 0.8968 prec@top5: 0.4381 loss_action_cls: 0.0385 2022/12/03 12:23:21 - mmengine - INFO - Epoch(train) [7][ 140/4451] lr: 4.9387e-02 eta: 1:38:37 time: 0.3331 data_time: 0.0137 memory: 8510 grad_norm: 0.1596 loss: 0.0410 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7917 recall@top3: 0.8021 prec@top3: 0.7708 recall@top5: 0.9635 prec@top5: 0.5625 loss_action_cls: 0.0410 2022/12/03 12:23:27 - mmengine - INFO - Epoch(train) [7][ 160/4451] lr: 4.9299e-02 eta: 1:38:30 time: 0.3357 data_time: 0.0131 memory: 8510 grad_norm: 0.1594 loss: 0.0409 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6970 recall@top3: 0.8333 prec@top3: 0.4394 recall@top5: 0.9545 prec@top5: 0.3000 loss_action_cls: 0.0409 2022/12/03 12:23:34 - mmengine - INFO - Epoch(train) [7][ 180/4451] lr: 4.9210e-02 eta: 1:38:24 time: 0.3347 data_time: 0.0111 memory: 8510 grad_norm: 0.1584 loss: 0.0418 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.4762 recall@top3: 0.7560 prec@top3: 0.5357 recall@top5: 0.8690 prec@top5: 0.3714 loss_action_cls: 0.0418 2022/12/03 12:23:41 - mmengine - INFO - Epoch(train) [7][ 200/4451] lr: 4.9122e-02 eta: 1:38:17 time: 0.3327 data_time: 0.0121 memory: 8510 grad_norm: 0.1680 loss: 0.0426 recall@thr=0.5: 0.6627 prec@thr=0.5: 0.7255 recall@top3: 0.7961 prec@top3: 0.6275 recall@top5: 0.8922 prec@top5: 0.4471 loss_action_cls: 0.0426 2022/12/03 12:23:47 - mmengine - INFO - Epoch(train) [7][ 220/4451] lr: 4.9034e-02 eta: 1:38:10 time: 0.3347 data_time: 0.0142 memory: 8510 grad_norm: 0.1550 loss: 0.0483 recall@thr=0.5: 0.6194 prec@thr=0.5: 0.7556 recall@top3: 0.8019 prec@top3: 0.7037 recall@top5: 0.9130 prec@top5: 0.4889 loss_action_cls: 0.0483 2022/12/03 12:23:54 - mmengine - INFO - Epoch(train) [7][ 240/4451] lr: 4.8946e-02 eta: 1:38:03 time: 0.3358 data_time: 0.0120 memory: 8510 grad_norm: 0.1552 loss: 0.0388 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.6018 recall@top3: 0.7768 prec@top3: 0.6310 recall@top5: 0.8810 prec@top5: 0.4571 loss_action_cls: 0.0388 2022/12/03 12:24:01 - mmengine - INFO - Epoch(train) [7][ 260/4451] lr: 4.8858e-02 eta: 1:37:57 time: 0.3332 data_time: 0.0131 memory: 8510 grad_norm: 0.1545 loss: 0.0380 recall@thr=0.5: 0.5733 prec@thr=0.5: 0.6200 recall@top3: 0.7667 prec@top3: 0.4800 recall@top5: 0.9067 prec@top5: 0.3440 loss_action_cls: 0.0380 2022/12/03 12:24:07 - mmengine - INFO - Epoch(train) [7][ 280/4451] lr: 4.8769e-02 eta: 1:37:50 time: 0.3327 data_time: 0.0153 memory: 8510 grad_norm: 0.1685 loss: 0.0428 recall@thr=0.5: 0.6325 prec@thr=0.5: 0.7018 recall@top3: 0.7430 prec@top3: 0.7018 recall@top5: 0.9211 prec@top5: 0.5579 loss_action_cls: 0.0428 2022/12/03 12:24:12 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:24:14 - mmengine - INFO - Epoch(train) [7][ 300/4451] lr: 4.8681e-02 eta: 1:37:43 time: 0.3340 data_time: 0.0162 memory: 8510 grad_norm: 0.1596 loss: 0.0401 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.9250 recall@top3: 0.7283 prec@top3: 0.7667 recall@top5: 0.9417 prec@top5: 0.6200 loss_action_cls: 0.0401 2022/12/03 12:24:21 - mmengine - INFO - Epoch(train) [7][ 320/4451] lr: 4.8593e-02 eta: 1:37:37 time: 0.3350 data_time: 0.0121 memory: 8510 grad_norm: 0.1616 loss: 0.0377 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8442 recall@top3: 0.8623 prec@top3: 0.7536 recall@top5: 0.9565 prec@top5: 0.5217 loss_action_cls: 0.0377 2022/12/03 12:24:27 - mmengine - INFO - Epoch(train) [7][ 340/4451] lr: 4.8505e-02 eta: 1:37:30 time: 0.3334 data_time: 0.0137 memory: 8510 grad_norm: 0.1625 loss: 0.0411 recall@thr=0.5: 0.5802 prec@thr=0.5: 0.7000 recall@top3: 0.6852 prec@top3: 0.6420 recall@top5: 0.8951 prec@top5: 0.5259 loss_action_cls: 0.0411 2022/12/03 12:24:34 - mmengine - INFO - Epoch(train) [7][ 360/4451] lr: 4.8417e-02 eta: 1:37:23 time: 0.3331 data_time: 0.0130 memory: 8510 grad_norm: 0.1660 loss: 0.0443 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8611 recall@top3: 0.8889 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.3556 loss_action_cls: 0.0443 2022/12/03 12:24:41 - mmengine - INFO - Epoch(train) [7][ 380/4451] lr: 4.8328e-02 eta: 1:37:16 time: 0.3336 data_time: 0.0125 memory: 8510 grad_norm: 0.1659 loss: 0.0458 recall@thr=0.5: 0.1979 prec@thr=0.5: 0.3125 recall@top3: 0.4688 prec@top3: 0.4167 recall@top5: 0.6562 prec@top5: 0.3750 loss_action_cls: 0.0458 2022/12/03 12:24:47 - mmengine - INFO - Epoch(train) [7][ 400/4451] lr: 4.8240e-02 eta: 1:37:10 time: 0.3359 data_time: 0.0129 memory: 8510 grad_norm: 0.1572 loss: 0.0414 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.5379 recall@top3: 0.6970 prec@top3: 0.5606 recall@top5: 0.9394 prec@top5: 0.4455 loss_action_cls: 0.0414 2022/12/03 12:24:54 - mmengine - INFO - Epoch(train) [7][ 420/4451] lr: 4.8152e-02 eta: 1:37:03 time: 0.3377 data_time: 0.0203 memory: 8510 grad_norm: 0.1554 loss: 0.0433 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7889 recall@top3: 0.8556 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.4133 loss_action_cls: 0.0433 2022/12/03 12:25:01 - mmengine - INFO - Epoch(train) [7][ 440/4451] lr: 4.8064e-02 eta: 1:36:56 time: 0.3345 data_time: 0.0134 memory: 8510 grad_norm: 0.1670 loss: 0.0456 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.8627 recall@top3: 0.7892 prec@top3: 0.5882 recall@top5: 0.9020 prec@top5: 0.4235 loss_action_cls: 0.0456 2022/12/03 12:25:08 - mmengine - INFO - Epoch(train) [7][ 460/4451] lr: 4.7976e-02 eta: 1:36:50 time: 0.3356 data_time: 0.0118 memory: 8510 grad_norm: 0.1663 loss: 0.0456 recall@thr=0.5: 0.7283 prec@thr=0.5: 0.6413 recall@top3: 0.7101 prec@top3: 0.5942 recall@top5: 0.8841 prec@top5: 0.4609 loss_action_cls: 0.0456 2022/12/03 12:25:14 - mmengine - INFO - Epoch(train) [7][ 480/4451] lr: 4.7888e-02 eta: 1:36:43 time: 0.3335 data_time: 0.0116 memory: 8510 grad_norm: 0.1600 loss: 0.0389 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7000 recall@top3: 0.7583 prec@top3: 0.6167 recall@top5: 0.8500 prec@top5: 0.4300 loss_action_cls: 0.0389 2022/12/03 12:25:21 - mmengine - INFO - Epoch(train) [7][ 500/4451] lr: 4.7799e-02 eta: 1:36:36 time: 0.3356 data_time: 0.0131 memory: 8510 grad_norm: 0.1652 loss: 0.0396 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.8077 recall@top3: 0.8974 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.4000 loss_action_cls: 0.0396 2022/12/03 12:25:28 - mmengine - INFO - Epoch(train) [7][ 520/4451] lr: 4.7711e-02 eta: 1:36:30 time: 0.3360 data_time: 0.0125 memory: 8510 grad_norm: 0.1620 loss: 0.0402 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7604 recall@top3: 0.8646 prec@top3: 0.5208 recall@top5: 0.9271 prec@top5: 0.3375 loss_action_cls: 0.0402 2022/12/03 12:25:34 - mmengine - INFO - Epoch(train) [7][ 540/4451] lr: 4.7623e-02 eta: 1:36:23 time: 0.3355 data_time: 0.0130 memory: 8510 grad_norm: 0.1538 loss: 0.0420 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7353 recall@top3: 0.7745 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.4588 loss_action_cls: 0.0420 2022/12/03 12:25:41 - mmengine - INFO - Epoch(train) [7][ 560/4451] lr: 4.7535e-02 eta: 1:36:16 time: 0.3347 data_time: 0.0151 memory: 8510 grad_norm: 0.1693 loss: 0.0382 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.7456 recall@top3: 0.8553 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.3684 loss_action_cls: 0.0382 2022/12/03 12:25:48 - mmengine - INFO - Epoch(train) [7][ 580/4451] lr: 4.7447e-02 eta: 1:36:09 time: 0.3362 data_time: 0.0133 memory: 8510 grad_norm: 0.1655 loss: 0.0485 recall@thr=0.5: 0.6006 prec@thr=0.5: 0.7184 recall@top3: 0.7672 prec@top3: 0.6322 recall@top5: 0.8793 prec@top5: 0.4414 loss_action_cls: 0.0485 2022/12/03 12:25:55 - mmengine - INFO - Epoch(train) [7][ 600/4451] lr: 4.7359e-02 eta: 1:36:03 time: 0.3357 data_time: 0.0149 memory: 8510 grad_norm: 0.1663 loss: 0.0436 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7708 recall@top3: 0.9375 prec@top3: 0.5625 recall@top5: 0.9375 prec@top5: 0.3375 loss_action_cls: 0.0436 2022/12/03 12:26:01 - mmengine - INFO - Epoch(train) [7][ 620/4451] lr: 4.7271e-02 eta: 1:35:56 time: 0.3352 data_time: 0.0112 memory: 8510 grad_norm: 0.1628 loss: 0.0449 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.8623 recall@top3: 0.7826 prec@top3: 0.6087 recall@top5: 0.9275 prec@top5: 0.4522 loss_action_cls: 0.0449 2022/12/03 12:26:08 - mmengine - INFO - Epoch(train) [7][ 640/4451] lr: 4.7183e-02 eta: 1:35:49 time: 0.3340 data_time: 0.0128 memory: 8510 grad_norm: 0.1562 loss: 0.0403 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6000 recall@top3: 0.7444 prec@top3: 0.4667 recall@top5: 0.9778 prec@top5: 0.3467 loss_action_cls: 0.0403 2022/12/03 12:26:15 - mmengine - INFO - Epoch(train) [7][ 660/4451] lr: 4.7095e-02 eta: 1:35:43 time: 0.3339 data_time: 0.0135 memory: 8510 grad_norm: 0.1690 loss: 0.0389 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7917 recall@top3: 0.8167 prec@top3: 0.6500 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0389 2022/12/03 12:26:21 - mmengine - INFO - Epoch(train) [7][ 680/4451] lr: 4.7006e-02 eta: 1:35:36 time: 0.3350 data_time: 0.0157 memory: 8510 grad_norm: 0.1622 loss: 0.0411 recall@thr=0.5: 0.3913 prec@thr=0.5: 0.5000 recall@top3: 0.7391 prec@top3: 0.5652 recall@top5: 0.9130 prec@top5: 0.4087 loss_action_cls: 0.0411 2022/12/03 12:26:28 - mmengine - INFO - Epoch(train) [7][ 700/4451] lr: 4.6918e-02 eta: 1:35:29 time: 0.3343 data_time: 0.0136 memory: 8510 grad_norm: 0.1647 loss: 0.0422 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6742 recall@top3: 0.7652 prec@top3: 0.5606 recall@top5: 0.8636 prec@top5: 0.3818 loss_action_cls: 0.0422 2022/12/03 12:26:35 - mmengine - INFO - Epoch(train) [7][ 720/4451] lr: 4.6830e-02 eta: 1:35:23 time: 0.3363 data_time: 0.0136 memory: 8510 grad_norm: 0.1650 loss: 0.0416 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.8958 prec@top3: 0.5208 recall@top5: 0.9583 prec@top5: 0.3250 loss_action_cls: 0.0416 2022/12/03 12:26:41 - mmengine - INFO - Epoch(train) [7][ 740/4451] lr: 4.6742e-02 eta: 1:35:16 time: 0.3350 data_time: 0.0125 memory: 8510 grad_norm: 0.1653 loss: 0.0453 recall@thr=0.5: 0.6341 prec@thr=0.5: 0.6884 recall@top3: 0.8551 prec@top3: 0.6232 recall@top5: 0.9855 prec@top5: 0.4522 loss_action_cls: 0.0453 2022/12/03 12:26:48 - mmengine - INFO - Epoch(train) [7][ 760/4451] lr: 4.6654e-02 eta: 1:35:09 time: 0.3347 data_time: 0.0146 memory: 8510 grad_norm: 0.1640 loss: 0.0435 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6597 recall@top3: 0.6910 prec@top3: 0.6944 recall@top5: 0.9167 prec@top5: 0.5750 loss_action_cls: 0.0435 2022/12/03 12:26:55 - mmengine - INFO - Epoch(train) [7][ 780/4451] lr: 4.6566e-02 eta: 1:35:02 time: 0.3346 data_time: 0.0168 memory: 8510 grad_norm: 0.1603 loss: 0.0457 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7778 recall@top3: 0.8148 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.5000 loss_action_cls: 0.0457 2022/12/03 12:27:02 - mmengine - INFO - Epoch(train) [7][ 800/4451] lr: 4.6478e-02 eta: 1:34:56 time: 0.3343 data_time: 0.0132 memory: 8510 grad_norm: 0.1669 loss: 0.0448 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7812 recall@top3: 0.7500 prec@top3: 0.5556 recall@top5: 0.8958 prec@top5: 0.4083 loss_action_cls: 0.0448 2022/12/03 12:27:08 - mmengine - INFO - Epoch(train) [7][ 820/4451] lr: 4.6390e-02 eta: 1:34:49 time: 0.3336 data_time: 0.0128 memory: 8510 grad_norm: 0.1553 loss: 0.0410 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8413 recall@top3: 0.8492 prec@top3: 0.7143 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0410 2022/12/03 12:27:15 - mmengine - INFO - Epoch(train) [7][ 840/4451] lr: 4.6302e-02 eta: 1:34:42 time: 0.3331 data_time: 0.0130 memory: 8510 grad_norm: 0.1674 loss: 0.0465 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6491 recall@top3: 0.7895 prec@top3: 0.5263 recall@top5: 0.8860 prec@top5: 0.3684 loss_action_cls: 0.0465 2022/12/03 12:27:22 - mmengine - INFO - Epoch(train) [7][ 860/4451] lr: 4.6214e-02 eta: 1:34:36 time: 0.3334 data_time: 0.0152 memory: 8510 grad_norm: 0.1604 loss: 0.0451 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.6545 recall@top3: 0.7424 prec@top3: 0.4242 recall@top5: 0.8485 prec@top5: 0.3091 loss_action_cls: 0.0451 2022/12/03 12:27:28 - mmengine - INFO - Epoch(train) [7][ 880/4451] lr: 4.6126e-02 eta: 1:34:29 time: 0.3338 data_time: 0.0125 memory: 8510 grad_norm: 0.1627 loss: 0.0454 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8810 recall@top3: 0.8810 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0454 2022/12/03 12:27:35 - mmengine - INFO - Epoch(train) [7][ 900/4451] lr: 4.6038e-02 eta: 1:34:22 time: 0.3337 data_time: 0.0156 memory: 8510 grad_norm: 0.1574 loss: 0.0462 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.4722 recall@top3: 0.5139 prec@top3: 0.4815 recall@top5: 0.9120 prec@top5: 0.4333 loss_action_cls: 0.0462 2022/12/03 12:27:42 - mmengine - INFO - Epoch(train) [7][ 920/4451] lr: 4.5950e-02 eta: 1:34:15 time: 0.3332 data_time: 0.0135 memory: 8510 grad_norm: 0.1579 loss: 0.0411 recall@thr=0.5: 0.3854 prec@thr=0.5: 0.5208 recall@top3: 0.8264 prec@top3: 0.6250 recall@top5: 0.9896 prec@top5: 0.4417 loss_action_cls: 0.0411 2022/12/03 12:27:48 - mmengine - INFO - Epoch(train) [7][ 940/4451] lr: 4.5862e-02 eta: 1:34:09 time: 0.3321 data_time: 0.0114 memory: 8510 grad_norm: 0.1616 loss: 0.0400 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.7458 recall@top3: 0.8698 prec@top3: 0.7917 recall@top5: 0.9635 prec@top5: 0.5125 loss_action_cls: 0.0400 2022/12/03 12:27:55 - mmengine - INFO - Epoch(train) [7][ 960/4451] lr: 4.5775e-02 eta: 1:34:02 time: 0.3329 data_time: 0.0131 memory: 8510 grad_norm: 0.1645 loss: 0.0462 recall@thr=0.5: 0.4932 prec@thr=0.5: 0.5871 recall@top3: 0.6333 prec@top3: 0.5606 recall@top5: 0.8167 prec@top5: 0.4545 loss_action_cls: 0.0462 2022/12/03 12:28:02 - mmengine - INFO - Epoch(train) [7][ 980/4451] lr: 4.5687e-02 eta: 1:33:55 time: 0.3338 data_time: 0.0130 memory: 8510 grad_norm: 0.1686 loss: 0.0429 recall@thr=0.5: 0.4756 prec@thr=0.5: 0.5722 recall@top3: 0.5689 prec@top3: 0.4889 recall@top5: 0.6800 prec@top5: 0.3467 loss_action_cls: 0.0429 2022/12/03 12:28:08 - mmengine - INFO - Epoch(train) [7][1000/4451] lr: 4.5599e-02 eta: 1:33:49 time: 0.3342 data_time: 0.0140 memory: 8510 grad_norm: 0.1590 loss: 0.0415 recall@thr=0.5: 0.4677 prec@thr=0.5: 0.5885 recall@top3: 0.7208 prec@top3: 0.7083 recall@top5: 0.8760 prec@top5: 0.5250 loss_action_cls: 0.0415 2022/12/03 12:28:15 - mmengine - INFO - Epoch(train) [7][1020/4451] lr: 4.5511e-02 eta: 1:33:42 time: 0.3358 data_time: 0.0127 memory: 8510 grad_norm: 0.1618 loss: 0.0475 recall@thr=0.5: 0.6467 prec@thr=0.5: 0.7833 recall@top3: 0.8642 prec@top3: 0.6667 recall@top5: 0.9467 prec@top5: 0.4400 loss_action_cls: 0.0475 2022/12/03 12:28:22 - mmengine - INFO - Epoch(train) [7][1040/4451] lr: 4.5423e-02 eta: 1:33:35 time: 0.3343 data_time: 0.0144 memory: 8510 grad_norm: 0.1543 loss: 0.0468 recall@thr=0.5: 0.7944 prec@thr=0.5: 0.9048 recall@top3: 0.8230 prec@top3: 0.8254 recall@top5: 0.9571 prec@top5: 0.6000 loss_action_cls: 0.0468 2022/12/03 12:28:28 - mmengine - INFO - Epoch(train) [7][1060/4451] lr: 4.5335e-02 eta: 1:33:28 time: 0.3348 data_time: 0.0118 memory: 8510 grad_norm: 0.1591 loss: 0.0419 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7105 recall@top3: 0.8333 prec@top3: 0.5965 recall@top5: 0.9035 prec@top5: 0.4105 loss_action_cls: 0.0419 2022/12/03 12:28:35 - mmengine - INFO - Epoch(train) [7][1080/4451] lr: 4.5247e-02 eta: 1:33:22 time: 0.3348 data_time: 0.0133 memory: 8510 grad_norm: 0.1646 loss: 0.0409 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5988 recall@top3: 0.7901 prec@top3: 0.5802 recall@top5: 0.8704 prec@top5: 0.3852 loss_action_cls: 0.0409 2022/12/03 12:28:42 - mmengine - INFO - Epoch(train) [7][1100/4451] lr: 4.5160e-02 eta: 1:33:15 time: 0.3342 data_time: 0.0133 memory: 8510 grad_norm: 0.1672 loss: 0.0502 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.7540 recall@top3: 0.8492 prec@top3: 0.7937 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0502 2022/12/03 12:28:48 - mmengine - INFO - Epoch(train) [7][1120/4451] lr: 4.5072e-02 eta: 1:33:08 time: 0.3334 data_time: 0.0145 memory: 8510 grad_norm: 0.1635 loss: 0.0455 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.8000 recall@top3: 0.8500 prec@top3: 0.7111 recall@top5: 0.9222 prec@top5: 0.4800 loss_action_cls: 0.0455 2022/12/03 12:28:55 - mmengine - INFO - Epoch(train) [7][1140/4451] lr: 4.4984e-02 eta: 1:33:02 time: 0.3327 data_time: 0.0124 memory: 8510 grad_norm: 0.1604 loss: 0.0430 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7593 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0430 2022/12/03 12:29:02 - mmengine - INFO - Epoch(train) [7][1160/4451] lr: 4.4896e-02 eta: 1:32:55 time: 0.3343 data_time: 0.0145 memory: 8510 grad_norm: 0.1661 loss: 0.0403 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.8542 prec@top5: 0.4000 loss_action_cls: 0.0403 2022/12/03 12:29:08 - mmengine - INFO - Epoch(train) [7][1180/4451] lr: 4.4808e-02 eta: 1:32:48 time: 0.3365 data_time: 0.0126 memory: 8510 grad_norm: 0.1600 loss: 0.0459 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.5028 recall@top3: 0.7611 prec@top3: 0.5000 recall@top5: 0.9278 prec@top5: 0.3667 loss_action_cls: 0.0459 2022/12/03 12:29:15 - mmengine - INFO - Epoch(train) [7][1200/4451] lr: 4.4721e-02 eta: 1:32:42 time: 0.3349 data_time: 0.0123 memory: 8510 grad_norm: 0.1676 loss: 0.0441 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9750 recall@top3: 0.8500 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4500 loss_action_cls: 0.0441 2022/12/03 12:29:22 - mmengine - INFO - Epoch(train) [7][1220/4451] lr: 4.4633e-02 eta: 1:32:35 time: 0.3371 data_time: 0.0113 memory: 8510 grad_norm: 0.1645 loss: 0.0449 recall@thr=0.5: 0.5613 prec@thr=0.5: 0.5882 recall@top3: 0.6495 prec@top3: 0.5686 recall@top5: 0.8578 prec@top5: 0.4353 loss_action_cls: 0.0449 2022/12/03 12:29:29 - mmengine - INFO - Epoch(train) [7][1240/4451] lr: 4.4545e-02 eta: 1:32:28 time: 0.3340 data_time: 0.0135 memory: 8510 grad_norm: 0.1587 loss: 0.0397 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.7745 recall@top3: 0.8824 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.3765 loss_action_cls: 0.0397 2022/12/03 12:29:35 - mmengine - INFO - Epoch(train) [7][1260/4451] lr: 4.4458e-02 eta: 1:32:21 time: 0.3325 data_time: 0.0123 memory: 8510 grad_norm: 0.1663 loss: 0.0419 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5784 recall@top3: 0.7157 prec@top3: 0.4902 recall@top5: 0.8676 prec@top5: 0.3765 loss_action_cls: 0.0419 2022/12/03 12:29:42 - mmengine - INFO - Epoch(train) [7][1280/4451] lr: 4.4370e-02 eta: 1:32:15 time: 0.3323 data_time: 0.0128 memory: 8510 grad_norm: 0.1718 loss: 0.0436 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.7222 recall@top3: 0.8452 prec@top3: 0.6667 recall@top5: 0.9365 prec@top5: 0.4667 loss_action_cls: 0.0436 2022/12/03 12:29:47 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:29:49 - mmengine - INFO - Epoch(train) [7][1300/4451] lr: 4.4282e-02 eta: 1:32:08 time: 0.3349 data_time: 0.0136 memory: 8510 grad_norm: 0.1571 loss: 0.0431 recall@thr=0.5: 0.6362 prec@thr=0.5: 0.7356 recall@top3: 0.7534 prec@top3: 0.6897 recall@top5: 0.8121 prec@top5: 0.4483 loss_action_cls: 0.0431 2022/12/03 12:29:55 - mmengine - INFO - Epoch(train) [7][1320/4451] lr: 4.4195e-02 eta: 1:32:01 time: 0.3340 data_time: 0.0155 memory: 8510 grad_norm: 0.1598 loss: 0.0392 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.6014 recall@top3: 0.7942 prec@top3: 0.5652 recall@top5: 0.9913 prec@top5: 0.4087 loss_action_cls: 0.0392 2022/12/03 12:30:02 - mmengine - INFO - Epoch(train) [7][1340/4451] lr: 4.4107e-02 eta: 1:31:55 time: 0.3336 data_time: 0.0134 memory: 8510 grad_norm: 0.1653 loss: 0.0450 recall@thr=0.5: 0.6780 prec@thr=0.5: 0.6629 recall@top3: 0.8068 prec@top3: 0.7424 recall@top5: 0.9697 prec@top5: 0.5545 loss_action_cls: 0.0450 2022/12/03 12:30:09 - mmengine - INFO - Epoch(train) [7][1360/4451] lr: 4.4019e-02 eta: 1:31:48 time: 0.3329 data_time: 0.0144 memory: 8510 grad_norm: 0.1669 loss: 0.0458 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7738 recall@top3: 0.8929 prec@top3: 0.6667 recall@top5: 0.8929 prec@top5: 0.4000 loss_action_cls: 0.0458 2022/12/03 12:30:15 - mmengine - INFO - Epoch(train) [7][1380/4451] lr: 4.3932e-02 eta: 1:31:41 time: 0.3359 data_time: 0.0129 memory: 8510 grad_norm: 0.1664 loss: 0.0418 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8241 recall@top3: 0.8704 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.4778 loss_action_cls: 0.0418 2022/12/03 12:30:22 - mmengine - INFO - Epoch(train) [7][1400/4451] lr: 4.3844e-02 eta: 1:31:34 time: 0.3344 data_time: 0.0145 memory: 8510 grad_norm: 0.1577 loss: 0.0360 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.6354 recall@top3: 0.8750 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4125 loss_action_cls: 0.0360 2022/12/03 12:30:29 - mmengine - INFO - Epoch(train) [7][1420/4451] lr: 4.3757e-02 eta: 1:31:28 time: 0.3338 data_time: 0.0121 memory: 8510 grad_norm: 0.1589 loss: 0.0408 recall@thr=0.5: 0.6935 prec@thr=0.5: 0.7351 recall@top3: 0.7470 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.5214 loss_action_cls: 0.0408 2022/12/03 12:30:35 - mmengine - INFO - Epoch(train) [7][1440/4451] lr: 4.3669e-02 eta: 1:31:21 time: 0.3328 data_time: 0.0125 memory: 8510 grad_norm: 0.1620 loss: 0.0480 recall@thr=0.5: 0.7402 prec@thr=0.5: 0.7989 recall@top3: 0.8626 prec@top3: 0.5977 recall@top5: 0.9195 prec@top5: 0.4069 loss_action_cls: 0.0480 2022/12/03 12:30:42 - mmengine - INFO - Epoch(train) [7][1460/4451] lr: 4.3582e-02 eta: 1:31:14 time: 0.3336 data_time: 0.0119 memory: 8510 grad_norm: 0.1611 loss: 0.0451 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8431 recall@top3: 0.8627 prec@top3: 0.7843 recall@top5: 0.9412 prec@top5: 0.5176 loss_action_cls: 0.0451 2022/12/03 12:30:49 - mmengine - INFO - Epoch(train) [7][1480/4451] lr: 4.3494e-02 eta: 1:31:08 time: 0.3358 data_time: 0.0111 memory: 8510 grad_norm: 0.1611 loss: 0.0444 recall@thr=0.5: 0.4763 prec@thr=0.5: 0.6205 recall@top3: 0.7237 prec@top3: 0.6154 recall@top5: 0.8833 prec@top5: 0.4769 loss_action_cls: 0.0444 2022/12/03 12:30:55 - mmengine - INFO - Epoch(train) [7][1500/4451] lr: 4.3407e-02 eta: 1:31:01 time: 0.3333 data_time: 0.0155 memory: 8510 grad_norm: 0.1530 loss: 0.0413 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8077 recall@top3: 0.8910 prec@top3: 0.6667 recall@top5: 0.9615 prec@top5: 0.4385 loss_action_cls: 0.0413 2022/12/03 12:31:02 - mmengine - INFO - Epoch(train) [7][1520/4451] lr: 4.3319e-02 eta: 1:30:54 time: 0.3349 data_time: 0.0154 memory: 8510 grad_norm: 0.1621 loss: 0.0406 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7222 recall@top3: 0.8981 prec@top3: 0.6852 recall@top5: 0.8981 prec@top5: 0.4111 loss_action_cls: 0.0406 2022/12/03 12:31:09 - mmengine - INFO - Epoch(train) [7][1540/4451] lr: 4.3232e-02 eta: 1:30:47 time: 0.3356 data_time: 0.0162 memory: 8510 grad_norm: 0.1583 loss: 0.0401 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7222 recall@top3: 0.7870 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4778 loss_action_cls: 0.0401 2022/12/03 12:31:16 - mmengine - INFO - Epoch(train) [7][1560/4451] lr: 4.3144e-02 eta: 1:30:41 time: 0.3355 data_time: 0.0109 memory: 8510 grad_norm: 0.1588 loss: 0.0420 recall@thr=0.5: 0.5394 prec@thr=0.5: 0.6500 recall@top3: 0.7139 prec@top3: 0.6333 recall@top5: 0.8728 prec@top5: 0.4867 loss_action_cls: 0.0420 2022/12/03 12:31:22 - mmengine - INFO - Epoch(train) [7][1580/4451] lr: 4.3057e-02 eta: 1:30:34 time: 0.3351 data_time: 0.0160 memory: 8510 grad_norm: 0.1600 loss: 0.0422 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.7101 recall@top3: 0.7283 prec@top3: 0.7101 recall@top5: 0.9348 prec@top5: 0.5217 loss_action_cls: 0.0422 2022/12/03 12:31:29 - mmengine - INFO - Epoch(train) [7][1600/4451] lr: 4.2970e-02 eta: 1:30:27 time: 0.3325 data_time: 0.0114 memory: 8510 grad_norm: 0.1652 loss: 0.0457 recall@thr=0.5: 0.5243 prec@thr=0.5: 0.5806 recall@top3: 0.7292 prec@top3: 0.5833 recall@top5: 0.8021 prec@top5: 0.3917 loss_action_cls: 0.0457 2022/12/03 12:31:36 - mmengine - INFO - Epoch(train) [7][1620/4451] lr: 4.2882e-02 eta: 1:30:21 time: 0.3335 data_time: 0.0112 memory: 8510 grad_norm: 0.1638 loss: 0.0413 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.5294 recall@top3: 0.9118 prec@top3: 0.5294 recall@top5: 0.9706 prec@top5: 0.3412 loss_action_cls: 0.0413 2022/12/03 12:31:42 - mmengine - INFO - Epoch(train) [7][1640/4451] lr: 4.2795e-02 eta: 1:30:14 time: 0.3334 data_time: 0.0108 memory: 8510 grad_norm: 0.1621 loss: 0.0450 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6111 recall@top3: 0.6852 prec@top3: 0.4444 recall@top5: 0.8519 prec@top5: 0.3222 loss_action_cls: 0.0450 2022/12/03 12:31:49 - mmengine - INFO - Epoch(train) [7][1660/4451] lr: 4.2708e-02 eta: 1:30:07 time: 0.3334 data_time: 0.0135 memory: 8510 grad_norm: 0.1647 loss: 0.0445 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.8175 recall@top3: 0.8413 prec@top3: 0.7143 recall@top5: 0.9246 prec@top5: 0.4762 loss_action_cls: 0.0445 2022/12/03 12:31:56 - mmengine - INFO - Epoch(train) [7][1680/4451] lr: 4.2620e-02 eta: 1:30:00 time: 0.3345 data_time: 0.0120 memory: 8510 grad_norm: 0.1704 loss: 0.0444 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6833 recall@top3: 0.7667 prec@top3: 0.5667 recall@top5: 0.9500 prec@top5: 0.4300 loss_action_cls: 0.0444 2022/12/03 12:32:02 - mmengine - INFO - Epoch(train) [7][1700/4451] lr: 4.2533e-02 eta: 1:29:54 time: 0.3359 data_time: 0.0110 memory: 8510 grad_norm: 0.1616 loss: 0.0377 recall@thr=0.5: 0.7472 prec@thr=0.5: 0.8565 recall@top3: 0.8722 prec@top3: 0.7407 recall@top5: 0.9222 prec@top5: 0.4889 loss_action_cls: 0.0377 2022/12/03 12:32:09 - mmengine - INFO - Epoch(train) [7][1720/4451] lr: 4.2446e-02 eta: 1:29:47 time: 0.3348 data_time: 0.0112 memory: 8510 grad_norm: 0.1649 loss: 0.0458 recall@thr=0.5: 0.5617 prec@thr=0.5: 0.7778 recall@top3: 0.7840 prec@top3: 0.6173 recall@top5: 0.8704 prec@top5: 0.4000 loss_action_cls: 0.0458 2022/12/03 12:32:16 - mmengine - INFO - Epoch(train) [7][1740/4451] lr: 4.2359e-02 eta: 1:29:40 time: 0.3350 data_time: 0.0135 memory: 8510 grad_norm: 0.1712 loss: 0.0411 recall@thr=0.5: 0.5188 prec@thr=0.5: 0.7535 recall@top3: 0.7056 prec@top3: 0.6389 recall@top5: 0.8528 prec@top5: 0.4917 loss_action_cls: 0.0411 2022/12/03 12:32:22 - mmengine - INFO - Epoch(train) [7][1760/4451] lr: 4.2272e-02 eta: 1:29:34 time: 0.3342 data_time: 0.0126 memory: 8510 grad_norm: 0.1701 loss: 0.0471 recall@thr=0.5: 0.4281 prec@thr=0.5: 0.4737 recall@top3: 0.6105 prec@top3: 0.4912 recall@top5: 0.7807 prec@top5: 0.3789 loss_action_cls: 0.0471 2022/12/03 12:32:29 - mmengine - INFO - Epoch(train) [7][1780/4451] lr: 4.2184e-02 eta: 1:29:27 time: 0.3327 data_time: 0.0111 memory: 8510 grad_norm: 0.1677 loss: 0.0423 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6556 recall@top3: 0.8456 prec@top3: 0.5222 recall@top5: 0.9533 prec@top5: 0.3667 loss_action_cls: 0.0423 2022/12/03 12:32:36 - mmengine - INFO - Epoch(train) [7][1800/4451] lr: 4.2097e-02 eta: 1:29:20 time: 0.3362 data_time: 0.0125 memory: 8510 grad_norm: 0.1656 loss: 0.0405 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8542 recall@top3: 0.9167 prec@top3: 0.8667 recall@top5: 0.9875 prec@top5: 0.5600 loss_action_cls: 0.0405 2022/12/03 12:32:42 - mmengine - INFO - Epoch(train) [7][1820/4451] lr: 4.2010e-02 eta: 1:29:14 time: 0.3329 data_time: 0.0128 memory: 8510 grad_norm: 0.1629 loss: 0.0422 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6458 recall@top3: 0.7847 prec@top3: 0.5278 recall@top5: 0.8681 prec@top5: 0.3500 loss_action_cls: 0.0422 2022/12/03 12:32:49 - mmengine - INFO - Epoch(train) [7][1840/4451] lr: 4.1923e-02 eta: 1:29:07 time: 0.3329 data_time: 0.0133 memory: 8510 grad_norm: 0.1649 loss: 0.0433 recall@thr=0.5: 0.7050 prec@thr=0.5: 0.7417 recall@top3: 0.8683 prec@top3: 0.7000 recall@top5: 0.9383 prec@top5: 0.4700 loss_action_cls: 0.0433 2022/12/03 12:32:56 - mmengine - INFO - Epoch(train) [7][1860/4451] lr: 4.1836e-02 eta: 1:29:00 time: 0.3344 data_time: 0.0131 memory: 8510 grad_norm: 0.1575 loss: 0.0388 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.6537 recall@top3: 0.7537 prec@top3: 0.5370 recall@top5: 0.9454 prec@top5: 0.4444 loss_action_cls: 0.0388 2022/12/03 12:33:02 - mmengine - INFO - Epoch(train) [7][1880/4451] lr: 4.1749e-02 eta: 1:28:53 time: 0.3340 data_time: 0.0116 memory: 8510 grad_norm: 0.1618 loss: 0.0430 recall@thr=0.5: 0.6374 prec@thr=0.5: 0.6768 recall@top3: 0.7697 prec@top3: 0.5556 recall@top5: 0.9258 prec@top5: 0.4121 loss_action_cls: 0.0430 2022/12/03 12:33:09 - mmengine - INFO - Epoch(train) [7][1900/4451] lr: 4.1662e-02 eta: 1:28:47 time: 0.3340 data_time: 0.0121 memory: 8510 grad_norm: 0.1683 loss: 0.0420 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.5878 recall@top3: 0.7750 prec@top3: 0.5556 recall@top5: 0.8944 prec@top5: 0.4067 loss_action_cls: 0.0420 2022/12/03 12:33:16 - mmengine - INFO - Epoch(train) [7][1920/4451] lr: 4.1575e-02 eta: 1:28:40 time: 0.3335 data_time: 0.0146 memory: 8510 grad_norm: 0.1575 loss: 0.0423 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.6364 recall@top3: 0.8258 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.4455 loss_action_cls: 0.0423 2022/12/03 12:33:22 - mmengine - INFO - Epoch(train) [7][1940/4451] lr: 4.1488e-02 eta: 1:28:33 time: 0.3334 data_time: 0.0147 memory: 8510 grad_norm: 0.1703 loss: 0.0423 recall@thr=0.5: 0.5893 prec@thr=0.5: 0.7560 recall@top3: 0.8393 prec@top3: 0.6786 recall@top5: 0.9554 prec@top5: 0.4786 loss_action_cls: 0.0423 2022/12/03 12:33:29 - mmengine - INFO - Epoch(train) [7][1960/4451] lr: 4.1401e-02 eta: 1:28:27 time: 0.3351 data_time: 0.0111 memory: 8510 grad_norm: 0.1604 loss: 0.0451 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6488 recall@top3: 0.7440 prec@top3: 0.6548 recall@top5: 0.9464 prec@top5: 0.4857 loss_action_cls: 0.0451 2022/12/03 12:33:36 - mmengine - INFO - Epoch(train) [7][1980/4451] lr: 4.1314e-02 eta: 1:28:20 time: 0.3342 data_time: 0.0110 memory: 8510 grad_norm: 0.1594 loss: 0.0404 recall@thr=0.5: 0.4655 prec@thr=0.5: 0.5747 recall@top3: 0.6782 prec@top3: 0.4943 recall@top5: 0.8161 prec@top5: 0.3724 loss_action_cls: 0.0404 2022/12/03 12:33:43 - mmengine - INFO - Epoch(train) [7][2000/4451] lr: 4.1227e-02 eta: 1:28:13 time: 0.3355 data_time: 0.0135 memory: 8510 grad_norm: 0.1675 loss: 0.0442 recall@thr=0.5: 0.4632 prec@thr=0.5: 0.6930 recall@top3: 0.6860 prec@top3: 0.5965 recall@top5: 0.8737 prec@top5: 0.4526 loss_action_cls: 0.0442 2022/12/03 12:33:49 - mmengine - INFO - Epoch(train) [7][2020/4451] lr: 4.1140e-02 eta: 1:28:06 time: 0.3339 data_time: 0.0122 memory: 8510 grad_norm: 0.1644 loss: 0.0400 recall@thr=0.5: 0.7654 prec@thr=0.5: 0.9383 recall@top3: 0.9012 prec@top3: 0.7037 recall@top5: 0.9877 prec@top5: 0.4815 loss_action_cls: 0.0400 2022/12/03 12:33:56 - mmengine - INFO - Epoch(train) [7][2040/4451] lr: 4.1054e-02 eta: 1:28:00 time: 0.3358 data_time: 0.0109 memory: 8510 grad_norm: 0.1611 loss: 0.0412 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7889 recall@top3: 0.8889 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0412 2022/12/03 12:34:03 - mmengine - INFO - Epoch(train) [7][2060/4451] lr: 4.0967e-02 eta: 1:27:53 time: 0.3352 data_time: 0.0116 memory: 8510 grad_norm: 0.1655 loss: 0.0391 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7333 recall@top3: 0.8250 prec@top3: 0.5667 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0391 2022/12/03 12:34:09 - mmengine - INFO - Epoch(train) [7][2080/4451] lr: 4.0880e-02 eta: 1:27:46 time: 0.3340 data_time: 0.0115 memory: 8510 grad_norm: 0.1617 loss: 0.0412 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.5417 recall@top3: 0.5985 prec@top3: 0.4091 recall@top5: 0.7121 prec@top5: 0.2909 loss_action_cls: 0.0412 2022/12/03 12:34:16 - mmengine - INFO - Epoch(train) [7][2100/4451] lr: 4.0793e-02 eta: 1:27:40 time: 0.3352 data_time: 0.0123 memory: 8510 grad_norm: 0.1663 loss: 0.0438 recall@thr=0.5: 0.4630 prec@thr=0.5: 0.5340 recall@top3: 0.6481 prec@top3: 0.4815 recall@top5: 0.8951 prec@top5: 0.4148 loss_action_cls: 0.0438 2022/12/03 12:34:23 - mmengine - INFO - Epoch(train) [7][2120/4451] lr: 4.0707e-02 eta: 1:27:33 time: 0.3338 data_time: 0.0138 memory: 8510 grad_norm: 0.1681 loss: 0.0371 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.8114 recall@top3: 0.7781 prec@top3: 0.5614 recall@top5: 0.9421 prec@top5: 0.4316 loss_action_cls: 0.0371 2022/12/03 12:34:29 - mmengine - INFO - Epoch(train) [7][2140/4451] lr: 4.0620e-02 eta: 1:27:26 time: 0.3344 data_time: 0.0115 memory: 8510 grad_norm: 0.1715 loss: 0.0464 recall@thr=0.5: 0.7580 prec@thr=0.5: 0.7609 recall@top3: 0.8159 prec@top3: 0.5942 recall@top5: 0.9333 prec@top5: 0.4174 loss_action_cls: 0.0464 2022/12/03 12:34:36 - mmengine - INFO - Epoch(train) [7][2160/4451] lr: 4.0533e-02 eta: 1:27:20 time: 0.3359 data_time: 0.0130 memory: 8510 grad_norm: 0.1699 loss: 0.0421 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.9333 recall@top3: 0.8389 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.5333 loss_action_cls: 0.0421 2022/12/03 12:34:43 - mmengine - INFO - Epoch(train) [7][2180/4451] lr: 4.0447e-02 eta: 1:27:13 time: 0.3344 data_time: 0.0115 memory: 8510 grad_norm: 0.1667 loss: 0.0427 recall@thr=0.5: 0.4962 prec@thr=0.5: 0.5909 recall@top3: 0.6136 prec@top3: 0.5303 recall@top5: 0.8636 prec@top5: 0.4636 loss_action_cls: 0.0427 2022/12/03 12:34:50 - mmengine - INFO - Epoch(train) [7][2200/4451] lr: 4.0360e-02 eta: 1:27:06 time: 0.3349 data_time: 0.0138 memory: 8510 grad_norm: 0.1617 loss: 0.0435 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7333 recall@top3: 0.8708 prec@top3: 0.6833 recall@top5: 0.9542 prec@top5: 0.4600 loss_action_cls: 0.0435 2022/12/03 12:34:56 - mmengine - INFO - Epoch(train) [7][2220/4451] lr: 4.0274e-02 eta: 1:26:59 time: 0.3342 data_time: 0.0121 memory: 8510 grad_norm: 0.1720 loss: 0.0442 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.7937 recall@top3: 0.8294 prec@top3: 0.7619 recall@top5: 0.9484 prec@top5: 0.5333 loss_action_cls: 0.0442 2022/12/03 12:35:03 - mmengine - INFO - Epoch(train) [7][2240/4451] lr: 4.0187e-02 eta: 1:26:53 time: 0.3333 data_time: 0.0123 memory: 8510 grad_norm: 0.1645 loss: 0.0416 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.9118 recall@top3: 0.9510 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0416 2022/12/03 12:35:10 - mmengine - INFO - Epoch(train) [7][2260/4451] lr: 4.0101e-02 eta: 1:26:46 time: 0.3341 data_time: 0.0133 memory: 8510 grad_norm: 0.1700 loss: 0.0435 recall@thr=0.5: 0.6179 prec@thr=0.5: 0.7321 recall@top3: 0.8024 prec@top3: 0.5833 recall@top5: 0.8500 prec@top5: 0.3643 loss_action_cls: 0.0435 2022/12/03 12:35:16 - mmengine - INFO - Epoch(train) [7][2280/4451] lr: 4.0014e-02 eta: 1:26:39 time: 0.3333 data_time: 0.0131 memory: 8510 grad_norm: 0.1673 loss: 0.0429 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5741 recall@top3: 0.7963 prec@top3: 0.5370 recall@top5: 0.9444 prec@top5: 0.4111 loss_action_cls: 0.0429 2022/12/03 12:35:21 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:35:23 - mmengine - INFO - Epoch(train) [7][2300/4451] lr: 3.9928e-02 eta: 1:26:33 time: 0.3336 data_time: 0.0121 memory: 8510 grad_norm: 0.1672 loss: 0.0443 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7143 recall@top3: 0.7825 prec@top3: 0.6984 recall@top5: 0.9587 prec@top5: 0.5333 loss_action_cls: 0.0443 2022/12/03 12:35:30 - mmengine - INFO - Epoch(train) [7][2320/4451] lr: 3.9841e-02 eta: 1:26:26 time: 0.3339 data_time: 0.0140 memory: 8510 grad_norm: 0.1645 loss: 0.0448 recall@thr=0.5: 0.6235 prec@thr=0.5: 0.6235 recall@top3: 0.9074 prec@top3: 0.5679 recall@top5: 0.9198 prec@top5: 0.3481 loss_action_cls: 0.0448 2022/12/03 12:35:36 - mmengine - INFO - Epoch(train) [7][2340/4451] lr: 3.9755e-02 eta: 1:26:19 time: 0.3329 data_time: 0.0114 memory: 8510 grad_norm: 0.1698 loss: 0.0425 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7368 recall@top3: 0.7614 prec@top3: 0.6491 recall@top5: 0.9526 prec@top5: 0.5158 loss_action_cls: 0.0425 2022/12/03 12:35:43 - mmengine - INFO - Epoch(train) [7][2360/4451] lr: 3.9669e-02 eta: 1:26:12 time: 0.3343 data_time: 0.0167 memory: 8510 grad_norm: 0.1672 loss: 0.0418 recall@thr=0.5: 0.5942 prec@thr=0.5: 0.8043 recall@top3: 0.8406 prec@top3: 0.6232 recall@top5: 0.8514 prec@top5: 0.3826 loss_action_cls: 0.0418 2022/12/03 12:35:50 - mmengine - INFO - Epoch(train) [7][2380/4451] lr: 3.9582e-02 eta: 1:26:06 time: 0.3332 data_time: 0.0127 memory: 8510 grad_norm: 0.1737 loss: 0.0448 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6400 recall@top3: 0.7733 prec@top3: 0.4267 recall@top5: 0.9000 prec@top5: 0.3280 loss_action_cls: 0.0448 2022/12/03 12:35:56 - mmengine - INFO - Epoch(train) [7][2400/4451] lr: 3.9496e-02 eta: 1:25:59 time: 0.3357 data_time: 0.0123 memory: 8510 grad_norm: 0.1673 loss: 0.0418 recall@thr=0.5: 0.7881 prec@thr=0.5: 0.8222 recall@top3: 0.7746 prec@top3: 0.7778 recall@top5: 0.9563 prec@top5: 0.5905 loss_action_cls: 0.0418 2022/12/03 12:36:03 - mmengine - INFO - Epoch(train) [7][2420/4451] lr: 3.9410e-02 eta: 1:25:52 time: 0.3345 data_time: 0.0113 memory: 8510 grad_norm: 0.1614 loss: 0.0433 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7037 recall@top3: 0.8426 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0433 2022/12/03 12:36:10 - mmengine - INFO - Epoch(train) [7][2440/4451] lr: 3.9324e-02 eta: 1:25:46 time: 0.3332 data_time: 0.0170 memory: 8510 grad_norm: 0.1598 loss: 0.0415 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7738 recall@top3: 0.7649 prec@top3: 0.6071 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0415 2022/12/03 12:36:16 - mmengine - INFO - Epoch(train) [7][2460/4451] lr: 3.9237e-02 eta: 1:25:39 time: 0.3335 data_time: 0.0138 memory: 8510 grad_norm: 0.1643 loss: 0.0427 recall@thr=0.5: 0.6638 prec@thr=0.5: 0.6725 recall@top3: 0.7768 prec@top3: 0.6812 recall@top5: 0.8812 prec@top5: 0.4783 loss_action_cls: 0.0427 2022/12/03 12:36:23 - mmengine - INFO - Epoch(train) [7][2480/4451] lr: 3.9151e-02 eta: 1:25:32 time: 0.3343 data_time: 0.0122 memory: 8510 grad_norm: 0.1672 loss: 0.0388 recall@thr=0.5: 0.6360 prec@thr=0.5: 0.6140 recall@top3: 0.7675 prec@top3: 0.5965 recall@top5: 0.9167 prec@top5: 0.4421 loss_action_cls: 0.0388 2022/12/03 12:36:30 - mmengine - INFO - Epoch(train) [7][2500/4451] lr: 3.9065e-02 eta: 1:25:26 time: 0.3348 data_time: 0.0117 memory: 8510 grad_norm: 0.1679 loss: 0.0393 recall@thr=0.5: 0.7339 prec@thr=0.5: 0.7556 recall@top3: 0.8428 prec@top3: 0.7000 recall@top5: 0.9311 prec@top5: 0.4800 loss_action_cls: 0.0393 2022/12/03 12:36:36 - mmengine - INFO - Epoch(train) [7][2520/4451] lr: 3.8979e-02 eta: 1:25:19 time: 0.3346 data_time: 0.0130 memory: 8510 grad_norm: 0.1593 loss: 0.0424 recall@thr=0.5: 0.6178 prec@thr=0.5: 0.7000 recall@top3: 0.7578 prec@top3: 0.6222 recall@top5: 0.8667 prec@top5: 0.4667 loss_action_cls: 0.0424 2022/12/03 12:36:43 - mmengine - INFO - Epoch(train) [7][2540/4451] lr: 3.8893e-02 eta: 1:25:12 time: 0.3338 data_time: 0.0127 memory: 8510 grad_norm: 0.1605 loss: 0.0460 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6722 recall@top3: 0.8167 prec@top3: 0.5556 recall@top5: 0.9000 prec@top5: 0.3733 loss_action_cls: 0.0460 2022/12/03 12:36:50 - mmengine - INFO - Epoch(train) [7][2560/4451] lr: 3.8807e-02 eta: 1:25:05 time: 0.3354 data_time: 0.0125 memory: 8510 grad_norm: 0.1701 loss: 0.0413 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4722 recall@top3: 0.7500 prec@top3: 0.3889 recall@top5: 0.8333 prec@top5: 0.2667 loss_action_cls: 0.0413 2022/12/03 12:36:56 - mmengine - INFO - Epoch(train) [7][2580/4451] lr: 3.8721e-02 eta: 1:24:59 time: 0.3345 data_time: 0.0125 memory: 8510 grad_norm: 0.1646 loss: 0.0410 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6833 recall@top3: 0.8625 prec@top3: 0.5500 recall@top5: 0.9667 prec@top5: 0.3900 loss_action_cls: 0.0410 2022/12/03 12:37:03 - mmengine - INFO - Epoch(train) [7][2600/4451] lr: 3.8635e-02 eta: 1:24:52 time: 0.3332 data_time: 0.0114 memory: 8510 grad_norm: 0.1655 loss: 0.0427 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.6894 recall@top3: 0.7273 prec@top3: 0.6212 recall@top5: 0.9091 prec@top5: 0.4364 loss_action_cls: 0.0427 2022/12/03 12:37:10 - mmengine - INFO - Epoch(train) [7][2620/4451] lr: 3.8549e-02 eta: 1:24:45 time: 0.3339 data_time: 0.0116 memory: 8510 grad_norm: 0.1647 loss: 0.0470 recall@thr=0.5: 0.5210 prec@thr=0.5: 0.5864 recall@top3: 0.7222 prec@top3: 0.5802 recall@top5: 0.8160 prec@top5: 0.4000 loss_action_cls: 0.0470 2022/12/03 12:37:17 - mmengine - INFO - Epoch(train) [7][2640/4451] lr: 3.8463e-02 eta: 1:24:39 time: 0.3350 data_time: 0.0114 memory: 8510 grad_norm: 0.1794 loss: 0.0427 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.7051 recall@top3: 0.8013 prec@top3: 0.5256 recall@top5: 0.8782 prec@top5: 0.3615 loss_action_cls: 0.0427 2022/12/03 12:37:23 - mmengine - INFO - Epoch(train) [7][2660/4451] lr: 3.8377e-02 eta: 1:24:32 time: 0.3347 data_time: 0.0126 memory: 8510 grad_norm: 0.1691 loss: 0.0408 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7963 recall@top3: 0.8889 prec@top3: 0.7222 recall@top5: 0.9630 prec@top5: 0.4667 loss_action_cls: 0.0408 2022/12/03 12:37:30 - mmengine - INFO - Epoch(train) [7][2680/4451] lr: 3.8292e-02 eta: 1:24:25 time: 0.3324 data_time: 0.0115 memory: 8510 grad_norm: 0.1650 loss: 0.0405 recall@thr=0.5: 0.5942 prec@thr=0.5: 0.6957 recall@top3: 0.7754 prec@top3: 0.6667 recall@top5: 0.9457 prec@top5: 0.5043 loss_action_cls: 0.0405 2022/12/03 12:37:37 - mmengine - INFO - Epoch(train) [7][2700/4451] lr: 3.8206e-02 eta: 1:24:18 time: 0.3371 data_time: 0.0142 memory: 8510 grad_norm: 0.1633 loss: 0.0422 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8333 recall@top3: 0.9762 prec@top3: 0.6032 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0422 2022/12/03 12:37:43 - mmengine - INFO - Epoch(train) [7][2720/4451] lr: 3.8120e-02 eta: 1:24:12 time: 0.3330 data_time: 0.0136 memory: 8510 grad_norm: 0.1554 loss: 0.0395 recall@thr=0.5: 0.5216 prec@thr=0.5: 0.7778 recall@top3: 0.8086 prec@top3: 0.6049 recall@top5: 0.8981 prec@top5: 0.4222 loss_action_cls: 0.0395 2022/12/03 12:37:50 - mmengine - INFO - Epoch(train) [7][2740/4451] lr: 3.8035e-02 eta: 1:24:05 time: 0.3344 data_time: 0.0136 memory: 8510 grad_norm: 0.1627 loss: 0.0411 recall@thr=0.5: 0.5677 prec@thr=0.5: 0.5833 recall@top3: 0.7656 prec@top3: 0.6042 recall@top5: 0.9062 prec@top5: 0.4250 loss_action_cls: 0.0411 2022/12/03 12:37:57 - mmengine - INFO - Epoch(train) [7][2760/4451] lr: 3.7949e-02 eta: 1:23:58 time: 0.3357 data_time: 0.0147 memory: 8510 grad_norm: 0.1706 loss: 0.0415 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6913 recall@top3: 0.7738 prec@top3: 0.5714 recall@top5: 0.9365 prec@top5: 0.4190 loss_action_cls: 0.0415 2022/12/03 12:38:03 - mmengine - INFO - Epoch(train) [7][2780/4451] lr: 3.7863e-02 eta: 1:23:52 time: 0.3350 data_time: 0.0126 memory: 8510 grad_norm: 0.1648 loss: 0.0427 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8833 recall@top3: 0.8125 prec@top3: 0.6833 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0427 2022/12/03 12:38:10 - mmengine - INFO - Epoch(train) [7][2800/4451] lr: 3.7778e-02 eta: 1:23:45 time: 0.3347 data_time: 0.0161 memory: 8510 grad_norm: 0.1686 loss: 0.0445 recall@thr=0.5: 0.6379 prec@thr=0.5: 0.6678 recall@top3: 0.6839 prec@top3: 0.5747 recall@top5: 0.9569 prec@top5: 0.4759 loss_action_cls: 0.0445 2022/12/03 12:38:17 - mmengine - INFO - Epoch(train) [7][2820/4451] lr: 3.7692e-02 eta: 1:23:38 time: 0.3354 data_time: 0.0129 memory: 8510 grad_norm: 0.1663 loss: 0.0418 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.4456 recall@top3: 0.6500 prec@top3: 0.4556 recall@top5: 0.8944 prec@top5: 0.4000 loss_action_cls: 0.0418 2022/12/03 12:38:23 - mmengine - INFO - Epoch(train) [7][2840/4451] lr: 3.7607e-02 eta: 1:23:32 time: 0.3338 data_time: 0.0129 memory: 8510 grad_norm: 0.1684 loss: 0.0397 recall@thr=0.5: 0.7716 prec@thr=0.5: 0.8086 recall@top3: 0.8704 prec@top3: 0.7531 recall@top5: 0.9136 prec@top5: 0.4815 loss_action_cls: 0.0397 2022/12/03 12:38:30 - mmengine - INFO - Epoch(train) [7][2860/4451] lr: 3.7521e-02 eta: 1:23:25 time: 0.3353 data_time: 0.0145 memory: 8510 grad_norm: 0.1641 loss: 0.0380 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6429 recall@top3: 0.7817 prec@top3: 0.5556 recall@top5: 0.9246 prec@top5: 0.3905 loss_action_cls: 0.0380 2022/12/03 12:38:37 - mmengine - INFO - Epoch(train) [7][2880/4451] lr: 3.7436e-02 eta: 1:23:18 time: 0.3375 data_time: 0.0136 memory: 8510 grad_norm: 0.1745 loss: 0.0418 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.8205 recall@top3: 0.8462 prec@top3: 0.6154 recall@top5: 0.8462 prec@top5: 0.3692 loss_action_cls: 0.0418 2022/12/03 12:38:44 - mmengine - INFO - Epoch(train) [7][2900/4451] lr: 3.7350e-02 eta: 1:23:11 time: 0.3333 data_time: 0.0169 memory: 8510 grad_norm: 0.1682 loss: 0.0404 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6458 recall@top3: 0.8021 prec@top3: 0.5625 recall@top5: 0.9635 prec@top5: 0.4250 loss_action_cls: 0.0404 2022/12/03 12:38:50 - mmengine - INFO - Epoch(train) [7][2920/4451] lr: 3.7265e-02 eta: 1:23:05 time: 0.3362 data_time: 0.0153 memory: 8510 grad_norm: 0.1665 loss: 0.0383 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.7826 recall@top3: 0.8623 prec@top3: 0.6377 recall@top5: 0.9312 prec@top5: 0.4261 loss_action_cls: 0.0383 2022/12/03 12:38:57 - mmengine - INFO - Epoch(train) [7][2940/4451] lr: 3.7180e-02 eta: 1:22:58 time: 0.3345 data_time: 0.0151 memory: 8510 grad_norm: 0.1655 loss: 0.0429 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.7971 recall@top3: 0.7464 prec@top3: 0.6522 recall@top5: 0.9094 prec@top5: 0.4870 loss_action_cls: 0.0429 2022/12/03 12:39:04 - mmengine - INFO - Epoch(train) [7][2960/4451] lr: 3.7095e-02 eta: 1:22:51 time: 0.3319 data_time: 0.0152 memory: 8510 grad_norm: 0.1674 loss: 0.0441 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.8261 recall@top3: 0.8442 prec@top3: 0.7101 recall@top5: 0.9855 prec@top5: 0.5043 loss_action_cls: 0.0441 2022/12/03 12:39:10 - mmengine - INFO - Epoch(train) [7][2980/4451] lr: 3.7009e-02 eta: 1:22:45 time: 0.3338 data_time: 0.0175 memory: 8510 grad_norm: 0.1663 loss: 0.0412 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.9211 recall@top3: 0.8158 prec@top3: 0.6667 recall@top5: 0.9737 prec@top5: 0.4842 loss_action_cls: 0.0412 2022/12/03 12:39:17 - mmengine - INFO - Epoch(train) [7][3000/4451] lr: 3.6924e-02 eta: 1:22:38 time: 0.3357 data_time: 0.0157 memory: 8510 grad_norm: 0.1748 loss: 0.0412 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6014 recall@top3: 0.8370 prec@top3: 0.4783 recall@top5: 0.8913 prec@top5: 0.3217 loss_action_cls: 0.0412 2022/12/03 12:39:24 - mmengine - INFO - Epoch(train) [7][3020/4451] lr: 3.6839e-02 eta: 1:22:31 time: 0.3340 data_time: 0.0183 memory: 8510 grad_norm: 0.1729 loss: 0.0410 recall@thr=0.5: 0.5602 prec@thr=0.5: 0.6389 recall@top3: 0.7176 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.5444 loss_action_cls: 0.0410 2022/12/03 12:39:30 - mmengine - INFO - Epoch(train) [7][3040/4451] lr: 3.6754e-02 eta: 1:22:25 time: 0.3361 data_time: 0.0168 memory: 8510 grad_norm: 0.1634 loss: 0.0401 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8684 recall@top3: 0.8860 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.3789 loss_action_cls: 0.0401 2022/12/03 12:39:37 - mmengine - INFO - Epoch(train) [7][3060/4451] lr: 3.6669e-02 eta: 1:22:18 time: 0.3340 data_time: 0.0152 memory: 8510 grad_norm: 0.1666 loss: 0.0376 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7281 recall@top3: 0.7895 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0376 2022/12/03 12:39:44 - mmengine - INFO - Epoch(train) [7][3080/4451] lr: 3.6584e-02 eta: 1:22:11 time: 0.3372 data_time: 0.0119 memory: 8510 grad_norm: 0.1594 loss: 0.0437 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7381 recall@top3: 0.8730 prec@top3: 0.5873 recall@top5: 0.9444 prec@top5: 0.3905 loss_action_cls: 0.0437 2022/12/03 12:39:51 - mmengine - INFO - Epoch(train) [7][3100/4451] lr: 3.6499e-02 eta: 1:22:04 time: 0.3353 data_time: 0.0139 memory: 8510 grad_norm: 0.1596 loss: 0.0446 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9259 recall@top3: 0.8583 prec@top3: 0.6852 recall@top5: 0.9500 prec@top5: 0.4778 loss_action_cls: 0.0446 2022/12/03 12:39:57 - mmengine - INFO - Epoch(train) [7][3120/4451] lr: 3.6414e-02 eta: 1:21:58 time: 0.3351 data_time: 0.0149 memory: 8510 grad_norm: 0.1693 loss: 0.0442 recall@thr=0.5: 0.7446 prec@thr=0.5: 0.7876 recall@top3: 0.8253 prec@top3: 0.7957 recall@top5: 0.9301 prec@top5: 0.5484 loss_action_cls: 0.0442 2022/12/03 12:40:04 - mmengine - INFO - Epoch(train) [7][3140/4451] lr: 3.6329e-02 eta: 1:21:51 time: 0.3345 data_time: 0.0163 memory: 8510 grad_norm: 0.1670 loss: 0.0407 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6000 recall@top3: 0.8889 prec@top3: 0.5333 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0407 2022/12/03 12:40:11 - mmengine - INFO - Epoch(train) [7][3160/4451] lr: 3.6244e-02 eta: 1:21:44 time: 0.3333 data_time: 0.0157 memory: 8510 grad_norm: 0.1645 loss: 0.0442 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7667 recall@top3: 0.8067 prec@top3: 0.5867 recall@top5: 0.9733 prec@top5: 0.4320 loss_action_cls: 0.0442 2022/12/03 12:40:17 - mmengine - INFO - Epoch(train) [7][3180/4451] lr: 3.6159e-02 eta: 1:21:38 time: 0.3334 data_time: 0.0159 memory: 8510 grad_norm: 0.1628 loss: 0.0384 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.8986 recall@top3: 0.8406 prec@top3: 0.7681 recall@top5: 0.9312 prec@top5: 0.5304 loss_action_cls: 0.0384 2022/12/03 12:40:24 - mmengine - INFO - Epoch(train) [7][3200/4451] lr: 3.6075e-02 eta: 1:21:31 time: 0.3352 data_time: 0.0172 memory: 8510 grad_norm: 0.1724 loss: 0.0402 recall@thr=0.5: 0.5900 prec@thr=0.5: 0.7500 recall@top3: 0.7892 prec@top3: 0.7167 recall@top5: 0.8833 prec@top5: 0.5100 loss_action_cls: 0.0402 2022/12/03 12:40:31 - mmengine - INFO - Epoch(train) [7][3220/4451] lr: 3.5990e-02 eta: 1:21:24 time: 0.3331 data_time: 0.0163 memory: 8510 grad_norm: 0.1662 loss: 0.0413 recall@thr=0.5: 0.7506 prec@thr=0.5: 0.8036 recall@top3: 0.8113 prec@top3: 0.7619 recall@top5: 0.9554 prec@top5: 0.5571 loss_action_cls: 0.0413 2022/12/03 12:40:37 - mmengine - INFO - Epoch(train) [7][3240/4451] lr: 3.5905e-02 eta: 1:21:18 time: 0.3340 data_time: 0.0166 memory: 8510 grad_norm: 0.1714 loss: 0.0378 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8651 recall@top3: 0.9444 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0378 2022/12/03 12:40:44 - mmengine - INFO - Epoch(train) [7][3260/4451] lr: 3.5821e-02 eta: 1:21:11 time: 0.3349 data_time: 0.0128 memory: 8510 grad_norm: 0.1566 loss: 0.0447 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.7267 recall@top3: 0.8400 prec@top3: 0.6000 recall@top5: 0.9700 prec@top5: 0.4320 loss_action_cls: 0.0447 2022/12/03 12:40:51 - mmengine - INFO - Epoch(train) [7][3280/4451] lr: 3.5736e-02 eta: 1:21:04 time: 0.3327 data_time: 0.0153 memory: 8510 grad_norm: 0.1717 loss: 0.0458 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6061 recall@top3: 0.7386 prec@top3: 0.5000 recall@top5: 0.8258 prec@top5: 0.3636 loss_action_cls: 0.0458 2022/12/03 12:40:55 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:40:57 - mmengine - INFO - Epoch(train) [7][3300/4451] lr: 3.5652e-02 eta: 1:20:57 time: 0.3356 data_time: 0.0158 memory: 8510 grad_norm: 0.1638 loss: 0.0430 recall@thr=0.5: 0.7746 prec@thr=0.5: 0.9254 recall@top3: 0.8088 prec@top3: 0.7368 recall@top5: 0.9307 prec@top5: 0.5368 loss_action_cls: 0.0430 2022/12/03 12:41:04 - mmengine - INFO - Epoch(train) [7][3320/4451] lr: 3.5567e-02 eta: 1:20:51 time: 0.3383 data_time: 0.0163 memory: 8510 grad_norm: 0.1585 loss: 0.0410 recall@thr=0.5: 0.7389 prec@thr=0.5: 0.7444 recall@top3: 0.8250 prec@top3: 0.7444 recall@top5: 0.9583 prec@top5: 0.5267 loss_action_cls: 0.0410 2022/12/03 12:41:11 - mmengine - INFO - Epoch(train) [7][3340/4451] lr: 3.5483e-02 eta: 1:20:44 time: 0.3346 data_time: 0.0135 memory: 8510 grad_norm: 0.1639 loss: 0.0448 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6875 recall@top3: 0.7083 prec@top3: 0.4375 recall@top5: 0.8958 prec@top5: 0.3375 loss_action_cls: 0.0448 2022/12/03 12:41:18 - mmengine - INFO - Epoch(train) [7][3360/4451] lr: 3.5398e-02 eta: 1:20:37 time: 0.3368 data_time: 0.0185 memory: 8510 grad_norm: 0.1630 loss: 0.0404 recall@thr=0.5: 0.5298 prec@thr=0.5: 0.5774 recall@top3: 0.7083 prec@top3: 0.5119 recall@top5: 0.8036 prec@top5: 0.3571 loss_action_cls: 0.0404 2022/12/03 12:41:24 - mmengine - INFO - Epoch(train) [7][3380/4451] lr: 3.5314e-02 eta: 1:20:31 time: 0.3325 data_time: 0.0122 memory: 8510 grad_norm: 0.1719 loss: 0.0445 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.6818 recall@top3: 0.7955 prec@top3: 0.5303 recall@top5: 0.8409 prec@top5: 0.3455 loss_action_cls: 0.0445 2022/12/03 12:41:31 - mmengine - INFO - Epoch(train) [7][3400/4451] lr: 3.5230e-02 eta: 1:20:24 time: 0.3331 data_time: 0.0150 memory: 8510 grad_norm: 0.1597 loss: 0.0417 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8614 recall@top3: 0.7737 prec@top3: 0.5789 recall@top5: 0.9237 prec@top5: 0.4526 loss_action_cls: 0.0417 2022/12/03 12:41:38 - mmengine - INFO - Epoch(train) [7][3420/4451] lr: 3.5145e-02 eta: 1:20:17 time: 0.3346 data_time: 0.0147 memory: 8510 grad_norm: 0.1641 loss: 0.0457 recall@thr=0.5: 0.5536 prec@thr=0.5: 0.7381 recall@top3: 0.7500 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.3714 loss_action_cls: 0.0457 2022/12/03 12:41:44 - mmengine - INFO - Epoch(train) [7][3440/4451] lr: 3.5061e-02 eta: 1:20:11 time: 0.3350 data_time: 0.0120 memory: 8510 grad_norm: 0.1634 loss: 0.0414 recall@thr=0.5: 0.7674 prec@thr=0.5: 0.8889 recall@top3: 0.8125 prec@top3: 0.7222 recall@top5: 0.9375 prec@top5: 0.5083 loss_action_cls: 0.0414 2022/12/03 12:41:51 - mmengine - INFO - Epoch(train) [7][3460/4451] lr: 3.4977e-02 eta: 1:20:04 time: 0.3321 data_time: 0.0136 memory: 8510 grad_norm: 0.1715 loss: 0.0406 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8792 recall@top3: 0.8417 prec@top3: 0.7333 recall@top5: 0.9833 prec@top5: 0.5100 loss_action_cls: 0.0406 2022/12/03 12:41:58 - mmengine - INFO - Epoch(train) [7][3480/4451] lr: 3.4893e-02 eta: 1:19:57 time: 0.3357 data_time: 0.0127 memory: 8510 grad_norm: 0.1732 loss: 0.0400 recall@thr=0.5: 0.5754 prec@thr=0.5: 0.6316 recall@top3: 0.6719 prec@top3: 0.4912 recall@top5: 0.8930 prec@top5: 0.4105 loss_action_cls: 0.0400 2022/12/03 12:42:04 - mmengine - INFO - Epoch(train) [7][3500/4451] lr: 3.4809e-02 eta: 1:19:50 time: 0.3330 data_time: 0.0156 memory: 8510 grad_norm: 0.1704 loss: 0.0385 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.6275 recall@top3: 0.7451 prec@top3: 0.6471 recall@top5: 0.8824 prec@top5: 0.4706 loss_action_cls: 0.0385 2022/12/03 12:42:11 - mmengine - INFO - Epoch(train) [7][3520/4451] lr: 3.4725e-02 eta: 1:19:44 time: 0.3333 data_time: 0.0147 memory: 8510 grad_norm: 0.1727 loss: 0.0389 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7544 recall@top3: 0.7851 prec@top3: 0.7018 recall@top5: 0.9561 prec@top5: 0.5368 loss_action_cls: 0.0389 2022/12/03 12:42:18 - mmengine - INFO - Epoch(train) [7][3540/4451] lr: 3.4641e-02 eta: 1:19:37 time: 0.3338 data_time: 0.0130 memory: 8510 grad_norm: 0.1711 loss: 0.0410 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.9118 recall@top3: 0.9314 prec@top3: 0.8627 recall@top5: 1.0000 prec@top5: 0.5647 loss_action_cls: 0.0410 2022/12/03 12:42:24 - mmengine - INFO - Epoch(train) [7][3560/4451] lr: 3.4557e-02 eta: 1:19:30 time: 0.3324 data_time: 0.0134 memory: 8510 grad_norm: 0.1653 loss: 0.0412 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.6414 recall@top3: 0.6768 prec@top3: 0.5051 recall@top5: 0.9343 prec@top5: 0.4000 loss_action_cls: 0.0412 2022/12/03 12:42:31 - mmengine - INFO - Epoch(train) [7][3580/4451] lr: 3.4473e-02 eta: 1:19:24 time: 0.3334 data_time: 0.0137 memory: 8510 grad_norm: 0.1605 loss: 0.0426 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8421 recall@top3: 0.7807 prec@top3: 0.7895 recall@top5: 0.9254 prec@top5: 0.5684 loss_action_cls: 0.0426 2022/12/03 12:42:38 - mmengine - INFO - Epoch(train) [7][3600/4451] lr: 3.4389e-02 eta: 1:19:17 time: 0.3323 data_time: 0.0131 memory: 8510 grad_norm: 0.1687 loss: 0.0407 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.5652 recall@top3: 0.7681 prec@top3: 0.6812 recall@top5: 0.8986 prec@top5: 0.4870 loss_action_cls: 0.0407 2022/12/03 12:42:44 - mmengine - INFO - Epoch(train) [7][3620/4451] lr: 3.4305e-02 eta: 1:19:10 time: 0.3338 data_time: 0.0120 memory: 8510 grad_norm: 0.1641 loss: 0.0410 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.8278 recall@top3: 0.9611 prec@top3: 0.7111 recall@top5: 0.9611 prec@top5: 0.4267 loss_action_cls: 0.0410 2022/12/03 12:42:51 - mmengine - INFO - Epoch(train) [7][3640/4451] lr: 3.4221e-02 eta: 1:19:03 time: 0.3360 data_time: 0.0123 memory: 8510 grad_norm: 0.1671 loss: 0.0424 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.5933 recall@top3: 0.6917 prec@top3: 0.6167 recall@top5: 0.8208 prec@top5: 0.4600 loss_action_cls: 0.0424 2022/12/03 12:42:58 - mmengine - INFO - Epoch(train) [7][3660/4451] lr: 3.4138e-02 eta: 1:18:57 time: 0.3359 data_time: 0.0119 memory: 8510 grad_norm: 0.1644 loss: 0.0410 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7540 recall@top3: 0.7421 prec@top3: 0.5714 recall@top5: 0.8929 prec@top5: 0.4381 loss_action_cls: 0.0410 2022/12/03 12:43:04 - mmengine - INFO - Epoch(train) [7][3680/4451] lr: 3.4054e-02 eta: 1:18:50 time: 0.3338 data_time: 0.0139 memory: 8510 grad_norm: 0.1700 loss: 0.0404 recall@thr=0.5: 0.5340 prec@thr=0.5: 0.6481 recall@top3: 0.6914 prec@top3: 0.5185 recall@top5: 0.8704 prec@top5: 0.4074 loss_action_cls: 0.0404 2022/12/03 12:43:11 - mmengine - INFO - Epoch(train) [7][3700/4451] lr: 3.3971e-02 eta: 1:18:43 time: 0.3350 data_time: 0.0108 memory: 8510 grad_norm: 0.1712 loss: 0.0359 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.7843 recall@top3: 0.7500 prec@top3: 0.7255 recall@top5: 0.8824 prec@top5: 0.5412 loss_action_cls: 0.0359 2022/12/03 12:43:18 - mmengine - INFO - Epoch(train) [7][3720/4451] lr: 3.3887e-02 eta: 1:18:37 time: 0.3344 data_time: 0.0115 memory: 8510 grad_norm: 0.1602 loss: 0.0390 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6574 recall@top3: 0.7685 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4778 loss_action_cls: 0.0390 2022/12/03 12:43:25 - mmengine - INFO - Epoch(train) [7][3740/4451] lr: 3.3803e-02 eta: 1:18:30 time: 0.3348 data_time: 0.0123 memory: 8510 grad_norm: 0.1624 loss: 0.0451 recall@thr=0.5: 0.6196 prec@thr=0.5: 0.8841 recall@top3: 0.7609 prec@top3: 0.6812 recall@top5: 0.8717 prec@top5: 0.4957 loss_action_cls: 0.0451 2022/12/03 12:43:31 - mmengine - INFO - Epoch(train) [7][3760/4451] lr: 3.3720e-02 eta: 1:18:23 time: 0.3363 data_time: 0.0112 memory: 8510 grad_norm: 0.1703 loss: 0.0414 recall@thr=0.5: 0.7676 prec@thr=0.5: 0.8824 recall@top3: 0.8500 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0414 2022/12/03 12:43:38 - mmengine - INFO - Epoch(train) [7][3780/4451] lr: 3.3637e-02 eta: 1:18:17 time: 0.3341 data_time: 0.0131 memory: 8510 grad_norm: 0.1627 loss: 0.0423 recall@thr=0.5: 0.7551 prec@thr=0.5: 0.8462 recall@top3: 0.8090 prec@top3: 0.5769 recall@top5: 0.8628 prec@top5: 0.3923 loss_action_cls: 0.0423 2022/12/03 12:43:45 - mmengine - INFO - Epoch(train) [7][3800/4451] lr: 3.3553e-02 eta: 1:18:10 time: 0.3352 data_time: 0.0124 memory: 8510 grad_norm: 0.1611 loss: 0.0428 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7302 recall@top3: 0.8492 prec@top3: 0.6667 recall@top5: 0.9048 prec@top5: 0.4286 loss_action_cls: 0.0428 2022/12/03 12:43:51 - mmengine - INFO - Epoch(train) [7][3820/4451] lr: 3.3470e-02 eta: 1:18:03 time: 0.3360 data_time: 0.0122 memory: 8510 grad_norm: 0.1609 loss: 0.0379 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.6984 recall@top3: 0.8095 prec@top3: 0.5079 recall@top5: 0.9762 prec@top5: 0.3810 loss_action_cls: 0.0379 2022/12/03 12:43:58 - mmengine - INFO - Epoch(train) [7][3840/4451] lr: 3.3387e-02 eta: 1:17:56 time: 0.3357 data_time: 0.0108 memory: 8510 grad_norm: 0.1679 loss: 0.0354 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.9444 recall@top3: 0.8889 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0354 2022/12/03 12:44:05 - mmengine - INFO - Epoch(train) [7][3860/4451] lr: 3.3304e-02 eta: 1:17:50 time: 0.3349 data_time: 0.0127 memory: 8510 grad_norm: 0.1605 loss: 0.0433 recall@thr=0.5: 0.5181 prec@thr=0.5: 0.6638 recall@top3: 0.5761 prec@top3: 0.4928 recall@top5: 0.7971 prec@top5: 0.4087 loss_action_cls: 0.0433 2022/12/03 12:44:11 - mmengine - INFO - Epoch(train) [7][3880/4451] lr: 3.3220e-02 eta: 1:17:43 time: 0.3348 data_time: 0.0136 memory: 8510 grad_norm: 0.1713 loss: 0.0456 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.5260 recall@top3: 0.6458 prec@top3: 0.3750 recall@top5: 0.7708 prec@top5: 0.2750 loss_action_cls: 0.0456 2022/12/03 12:44:18 - mmengine - INFO - Epoch(train) [7][3900/4451] lr: 3.3137e-02 eta: 1:17:36 time: 0.3366 data_time: 0.0139 memory: 8510 grad_norm: 0.1686 loss: 0.0391 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7679 recall@top3: 0.8929 prec@top3: 0.6548 recall@top5: 0.9464 prec@top5: 0.4214 loss_action_cls: 0.0391 2022/12/03 12:44:25 - mmengine - INFO - Epoch(train) [7][3920/4451] lr: 3.3054e-02 eta: 1:17:30 time: 0.3337 data_time: 0.0113 memory: 8510 grad_norm: 0.1618 loss: 0.0437 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.7778 recall@top3: 0.8519 prec@top3: 0.7037 recall@top5: 0.9383 prec@top5: 0.4741 loss_action_cls: 0.0437 2022/12/03 12:44:32 - mmengine - INFO - Epoch(train) [7][3940/4451] lr: 3.2971e-02 eta: 1:17:23 time: 0.3341 data_time: 0.0111 memory: 8510 grad_norm: 0.1665 loss: 0.0404 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7500 recall@top3: 0.8438 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0404 2022/12/03 12:44:38 - mmengine - INFO - Epoch(train) [7][3960/4451] lr: 3.2888e-02 eta: 1:17:16 time: 0.3340 data_time: 0.0128 memory: 8510 grad_norm: 0.1683 loss: 0.0435 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.7857 recall@top3: 0.8214 prec@top3: 0.6349 recall@top5: 0.9405 prec@top5: 0.4571 loss_action_cls: 0.0435 2022/12/03 12:44:45 - mmengine - INFO - Epoch(train) [7][3980/4451] lr: 3.2806e-02 eta: 1:17:10 time: 0.3349 data_time: 0.0108 memory: 8510 grad_norm: 0.1612 loss: 0.0394 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.5792 recall@top3: 0.6333 prec@top3: 0.5500 recall@top5: 0.8125 prec@top5: 0.4300 loss_action_cls: 0.0394 2022/12/03 12:44:52 - mmengine - INFO - Epoch(train) [7][4000/4451] lr: 3.2723e-02 eta: 1:17:03 time: 0.3344 data_time: 0.0132 memory: 8510 grad_norm: 0.1716 loss: 0.0435 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8182 recall@top3: 0.8258 prec@top3: 0.6465 recall@top5: 0.9621 prec@top5: 0.4606 loss_action_cls: 0.0435 2022/12/03 12:44:58 - mmengine - INFO - Epoch(train) [7][4020/4451] lr: 3.2640e-02 eta: 1:16:56 time: 0.3362 data_time: 0.0120 memory: 8510 grad_norm: 0.1650 loss: 0.0446 recall@thr=0.5: 0.5804 prec@thr=0.5: 0.7798 recall@top3: 0.7589 prec@top3: 0.7262 recall@top5: 0.9315 prec@top5: 0.5429 loss_action_cls: 0.0446 2022/12/03 12:45:05 - mmengine - INFO - Epoch(train) [7][4040/4451] lr: 3.2557e-02 eta: 1:16:49 time: 0.3345 data_time: 0.0117 memory: 8510 grad_norm: 0.1683 loss: 0.0393 recall@thr=0.5: 0.7967 prec@thr=0.5: 0.8133 recall@top3: 0.8233 prec@top3: 0.5467 recall@top5: 0.9800 prec@top5: 0.4240 loss_action_cls: 0.0393 2022/12/03 12:45:12 - mmengine - INFO - Epoch(train) [7][4060/4451] lr: 3.2475e-02 eta: 1:16:43 time: 0.3341 data_time: 0.0109 memory: 8510 grad_norm: 0.1682 loss: 0.0426 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.4896 recall@top3: 0.6771 prec@top3: 0.4375 recall@top5: 0.6979 prec@top5: 0.2750 loss_action_cls: 0.0426 2022/12/03 12:45:18 - mmengine - INFO - Epoch(train) [7][4080/4451] lr: 3.2392e-02 eta: 1:16:36 time: 0.3341 data_time: 0.0125 memory: 8510 grad_norm: 0.1698 loss: 0.0425 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8250 recall@top3: 0.9500 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4000 loss_action_cls: 0.0425 2022/12/03 12:45:25 - mmengine - INFO - Epoch(train) [7][4100/4451] lr: 3.2309e-02 eta: 1:16:29 time: 0.3364 data_time: 0.0119 memory: 8510 grad_norm: 0.1675 loss: 0.0457 recall@thr=0.5: 0.5467 prec@thr=0.5: 0.6233 recall@top3: 0.7667 prec@top3: 0.6133 recall@top5: 0.8867 prec@top5: 0.4400 loss_action_cls: 0.0457 2022/12/03 12:45:32 - mmengine - INFO - Epoch(train) [7][4120/4451] lr: 3.2227e-02 eta: 1:16:23 time: 0.3360 data_time: 0.0126 memory: 8510 grad_norm: 0.1667 loss: 0.0418 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8472 recall@top3: 0.9259 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0418 2022/12/03 12:45:39 - mmengine - INFO - Epoch(train) [7][4140/4451] lr: 3.2144e-02 eta: 1:16:16 time: 0.3341 data_time: 0.0114 memory: 8510 grad_norm: 0.1712 loss: 0.0426 recall@thr=0.5: 0.3590 prec@thr=0.5: 0.5641 recall@top3: 0.6667 prec@top3: 0.5897 recall@top5: 0.9359 prec@top5: 0.4923 loss_action_cls: 0.0426 2022/12/03 12:45:45 - mmengine - INFO - Epoch(train) [7][4160/4451] lr: 3.2062e-02 eta: 1:16:09 time: 0.3352 data_time: 0.0110 memory: 8510 grad_norm: 0.1669 loss: 0.0466 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6389 recall@top3: 0.7569 prec@top3: 0.5694 recall@top5: 0.8819 prec@top5: 0.4083 loss_action_cls: 0.0466 2022/12/03 12:45:52 - mmengine - INFO - Epoch(train) [7][4180/4451] lr: 3.1980e-02 eta: 1:16:03 time: 0.3352 data_time: 0.0115 memory: 8510 grad_norm: 0.1609 loss: 0.0445 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.6250 recall@top3: 0.7833 prec@top3: 0.5000 recall@top5: 0.8917 prec@top5: 0.3400 loss_action_cls: 0.0445 2022/12/03 12:45:59 - mmengine - INFO - Epoch(train) [7][4200/4451] lr: 3.1898e-02 eta: 1:15:56 time: 0.3349 data_time: 0.0133 memory: 8510 grad_norm: 0.1710 loss: 0.0420 recall@thr=0.5: 0.5216 prec@thr=0.5: 0.6176 recall@top3: 0.7569 prec@top3: 0.5490 recall@top5: 0.8196 prec@top5: 0.3765 loss_action_cls: 0.0420 2022/12/03 12:46:05 - mmengine - INFO - Epoch(train) [7][4220/4451] lr: 3.1815e-02 eta: 1:15:49 time: 0.3353 data_time: 0.0145 memory: 8510 grad_norm: 0.1667 loss: 0.0411 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.7609 recall@top3: 0.8768 prec@top3: 0.6522 recall@top5: 0.9638 prec@top5: 0.4522 loss_action_cls: 0.0411 2022/12/03 12:46:12 - mmengine - INFO - Epoch(train) [7][4240/4451] lr: 3.1733e-02 eta: 1:15:42 time: 0.3339 data_time: 0.0120 memory: 8510 grad_norm: 0.1615 loss: 0.0390 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.8810 recall@top3: 0.8492 prec@top3: 0.6825 recall@top5: 0.9603 prec@top5: 0.4762 loss_action_cls: 0.0390 2022/12/03 12:46:19 - mmengine - INFO - Epoch(train) [7][4260/4451] lr: 3.1651e-02 eta: 1:15:36 time: 0.3329 data_time: 0.0131 memory: 8510 grad_norm: 0.1677 loss: 0.0393 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.7130 recall@top3: 0.8491 prec@top3: 0.6667 recall@top5: 0.9222 prec@top5: 0.4556 loss_action_cls: 0.0393 2022/12/03 12:46:25 - mmengine - INFO - Epoch(train) [7][4280/4451] lr: 3.1569e-02 eta: 1:15:29 time: 0.3358 data_time: 0.0130 memory: 8510 grad_norm: 0.1736 loss: 0.0430 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8480 recall@top3: 0.7863 prec@top3: 0.8039 recall@top5: 0.9510 prec@top5: 0.6118 loss_action_cls: 0.0430 2022/12/03 12:46:30 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:46:32 - mmengine - INFO - Epoch(train) [7][4300/4451] lr: 3.1487e-02 eta: 1:15:22 time: 0.3323 data_time: 0.0135 memory: 8510 grad_norm: 0.1694 loss: 0.0408 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8214 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0408 2022/12/03 12:46:39 - mmengine - INFO - Epoch(train) [7][4320/4451] lr: 3.1405e-02 eta: 1:15:16 time: 0.3356 data_time: 0.0136 memory: 8510 grad_norm: 0.1682 loss: 0.0389 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.8067 recall@top3: 0.7800 prec@top3: 0.7200 recall@top5: 0.9400 prec@top5: 0.5280 loss_action_cls: 0.0389 2022/12/03 12:46:45 - mmengine - INFO - Epoch(train) [7][4340/4451] lr: 3.1323e-02 eta: 1:15:09 time: 0.3334 data_time: 0.0116 memory: 8510 grad_norm: 0.1672 loss: 0.0379 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6685 recall@top3: 0.6667 prec@top3: 0.6111 recall@top5: 0.8333 prec@top5: 0.4444 loss_action_cls: 0.0379 2022/12/03 12:46:52 - mmengine - INFO - Epoch(train) [7][4360/4451] lr: 3.1241e-02 eta: 1:15:02 time: 0.3359 data_time: 0.0124 memory: 8510 grad_norm: 0.1679 loss: 0.0411 recall@thr=0.5: 0.4058 prec@thr=0.5: 0.5145 recall@top3: 0.6123 prec@top3: 0.4928 recall@top5: 0.8696 prec@top5: 0.4087 loss_action_cls: 0.0411 2022/12/03 12:46:59 - mmengine - INFO - Epoch(train) [7][4380/4451] lr: 3.1160e-02 eta: 1:14:56 time: 0.3350 data_time: 0.0129 memory: 8510 grad_norm: 0.1667 loss: 0.0387 recall@thr=0.5: 0.7675 prec@thr=0.5: 0.7272 recall@top3: 0.8114 prec@top3: 0.6842 recall@top5: 0.9825 prec@top5: 0.5158 loss_action_cls: 0.0387 2022/12/03 12:47:06 - mmengine - INFO - Epoch(train) [7][4400/4451] lr: 3.1078e-02 eta: 1:14:49 time: 0.3339 data_time: 0.0149 memory: 8510 grad_norm: 0.1702 loss: 0.0397 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8083 recall@top3: 0.7185 prec@top3: 0.6786 recall@top5: 0.9286 prec@top5: 0.5500 loss_action_cls: 0.0397 2022/12/03 12:47:12 - mmengine - INFO - Epoch(train) [7][4420/4451] lr: 3.0996e-02 eta: 1:14:42 time: 0.3344 data_time: 0.0117 memory: 8510 grad_norm: 0.1662 loss: 0.0396 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6481 recall@top3: 0.7981 prec@top3: 0.6481 recall@top5: 0.9500 prec@top5: 0.4778 loss_action_cls: 0.0396 2022/12/03 12:47:19 - mmengine - INFO - Epoch(train) [7][4440/4451] lr: 3.0915e-02 eta: 1:14:35 time: 0.3347 data_time: 0.0119 memory: 8510 grad_norm: 0.1692 loss: 0.0423 recall@thr=0.5: 0.5245 prec@thr=0.5: 0.7206 recall@top3: 0.6324 prec@top3: 0.7059 recall@top5: 0.8039 prec@top5: 0.5294 loss_action_cls: 0.0423 2022/12/03 12:47:23 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 12:47:23 - mmengine - INFO - Epoch(train) [7][4451/4451] lr: 3.0870e-02 eta: 1:14:32 time: 0.3285 data_time: 0.0111 memory: 8510 grad_norm: 0.1724 loss: 0.0423 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8681 recall@top3: 0.8194 prec@top3: 0.7917 recall@top5: 0.9271 prec@top5: 0.5333 loss_action_cls: 0.0423 2022/12/03 12:47:23 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/12/03 12:47:28 - mmengine - INFO - Epoch(val) [7][ 20/6282] eta: 0:07:31 time: 0.0721 data_time: 0.0261 memory: 662 2022/12/03 12:47:29 - mmengine - INFO - Epoch(val) [7][ 40/6282] eta: 0:06:13 time: 0.0475 data_time: 0.0059 memory: 662 2022/12/03 12:47:30 - mmengine - INFO - Epoch(val) [7][ 60/6282] eta: 0:05:54 time: 0.0515 data_time: 0.0102 memory: 662 2022/12/03 12:47:31 - mmengine - INFO - Epoch(val) [7][ 80/6282] eta: 0:05:37 time: 0.0468 data_time: 0.0071 memory: 662 2022/12/03 12:47:32 - mmengine - INFO - Epoch(val) [7][ 100/6282] eta: 0:05:26 time: 0.0465 data_time: 0.0057 memory: 662 2022/12/03 12:47:33 - mmengine - INFO - Epoch(val) [7][ 120/6282] eta: 0:05:29 time: 0.0565 data_time: 0.0079 memory: 733 2022/12/03 12:47:34 - mmengine - INFO - Epoch(val) [7][ 140/6282] eta: 0:05:33 time: 0.0590 data_time: 0.0080 memory: 733 2022/12/03 12:47:36 - mmengine - INFO - Epoch(val) [7][ 160/6282] eta: 0:05:40 time: 0.0647 data_time: 0.0102 memory: 733 2022/12/03 12:47:37 - mmengine - INFO - Epoch(val) [7][ 180/6282] eta: 0:05:39 time: 0.0556 data_time: 0.0068 memory: 733 2022/12/03 12:47:38 - mmengine - INFO - Epoch(val) [7][ 200/6282] eta: 0:05:41 time: 0.0608 data_time: 0.0078 memory: 733 2022/12/03 12:47:39 - mmengine - INFO - Epoch(val) [7][ 220/6282] eta: 0:05:38 time: 0.0524 data_time: 0.0087 memory: 674 2022/12/03 12:47:40 - mmengine - INFO - Epoch(val) [7][ 240/6282] eta: 0:05:33 time: 0.0495 data_time: 0.0067 memory: 674 2022/12/03 12:47:41 - mmengine - INFO - Epoch(val) [7][ 260/6282] eta: 0:05:31 time: 0.0526 data_time: 0.0070 memory: 674 2022/12/03 12:47:42 - mmengine - INFO - Epoch(val) [7][ 280/6282] eta: 0:05:28 time: 0.0512 data_time: 0.0073 memory: 674 2022/12/03 12:47:43 - mmengine - INFO - Epoch(val) [7][ 300/6282] eta: 0:05:26 time: 0.0525 data_time: 0.0092 memory: 733 2022/12/03 12:47:44 - mmengine - INFO - Epoch(val) [7][ 320/6282] eta: 0:05:27 time: 0.0596 data_time: 0.0088 memory: 733 2022/12/03 12:47:46 - mmengine - INFO - Epoch(val) [7][ 340/6282] eta: 0:05:28 time: 0.0610 data_time: 0.0089 memory: 733 2022/12/03 12:47:47 - mmengine - INFO - Epoch(val) [7][ 360/6282] eta: 0:05:28 time: 0.0587 data_time: 0.0103 memory: 733 2022/12/03 12:47:48 - mmengine - INFO - Epoch(val) [7][ 380/6282] eta: 0:05:30 time: 0.0644 data_time: 0.0112 memory: 733 2022/12/03 12:47:49 - mmengine - INFO - Epoch(val) [7][ 400/6282] eta: 0:05:30 time: 0.0594 data_time: 0.0098 memory: 733 2022/12/03 12:47:50 - mmengine - INFO - Epoch(val) [7][ 420/6282] eta: 0:05:29 time: 0.0568 data_time: 0.0101 memory: 679 2022/12/03 12:47:52 - mmengine - INFO - Epoch(val) [7][ 440/6282] eta: 0:05:27 time: 0.0537 data_time: 0.0099 memory: 679 2022/12/03 12:47:53 - mmengine - INFO - Epoch(val) [7][ 460/6282] eta: 0:05:25 time: 0.0512 data_time: 0.0085 memory: 679 2022/12/03 12:47:54 - mmengine - INFO - Epoch(val) [7][ 480/6282] eta: 0:05:24 time: 0.0564 data_time: 0.0107 memory: 679 2022/12/03 12:47:55 - mmengine - INFO - Epoch(val) [7][ 500/6282] eta: 0:05:22 time: 0.0549 data_time: 0.0077 memory: 679 2022/12/03 12:47:56 - mmengine - INFO - Epoch(val) [7][ 520/6282] eta: 0:05:21 time: 0.0555 data_time: 0.0082 memory: 674 2022/12/03 12:47:57 - mmengine - INFO - Epoch(val) [7][ 540/6282] eta: 0:05:20 time: 0.0550 data_time: 0.0063 memory: 674 2022/12/03 12:47:58 - mmengine - INFO - Epoch(val) [7][ 560/6282] eta: 0:05:18 time: 0.0543 data_time: 0.0058 memory: 674 2022/12/03 12:47:59 - mmengine - INFO - Epoch(val) [7][ 580/6282] eta: 0:05:17 time: 0.0528 data_time: 0.0068 memory: 674 2022/12/03 12:48:00 - mmengine - INFO - Epoch(val) [7][ 600/6282] eta: 0:05:16 time: 0.0598 data_time: 0.0101 memory: 674 2022/12/03 12:48:01 - mmengine - INFO - Epoch(val) [7][ 620/6282] eta: 0:05:14 time: 0.0497 data_time: 0.0075 memory: 674 2022/12/03 12:48:02 - mmengine - INFO - Epoch(val) [7][ 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time: 0.0807 data_time: 0.0330 memory: 733 2022/12/03 12:48:13 - mmengine - INFO - Epoch(val) [7][ 820/6282] eta: 0:05:06 time: 0.0585 data_time: 0.0110 memory: 733 2022/12/03 12:48:14 - mmengine - INFO - Epoch(val) [7][ 840/6282] eta: 0:05:05 time: 0.0579 data_time: 0.0077 memory: 674 2022/12/03 12:48:15 - mmengine - INFO - Epoch(val) [7][ 860/6282] eta: 0:05:05 time: 0.0607 data_time: 0.0128 memory: 674 2022/12/03 12:48:17 - mmengine - INFO - Epoch(val) [7][ 880/6282] eta: 0:05:04 time: 0.0585 data_time: 0.0116 memory: 674 2022/12/03 12:48:18 - mmengine - INFO - Epoch(val) [7][ 900/6282] eta: 0:05:03 time: 0.0573 data_time: 0.0084 memory: 674 2022/12/03 12:48:19 - mmengine - INFO - Epoch(val) [7][ 920/6282] eta: 0:05:02 time: 0.0566 data_time: 0.0097 memory: 674 2022/12/03 12:48:20 - mmengine - INFO - Epoch(val) [7][ 940/6282] eta: 0:05:01 time: 0.0548 data_time: 0.0067 memory: 662 2022/12/03 12:48:21 - mmengine - INFO - Epoch(val) [7][ 960/6282] eta: 0:04:59 time: 0.0518 data_time: 0.0080 memory: 662 2022/12/03 12:48:22 - mmengine - INFO - Epoch(val) [7][ 980/6282] eta: 0:04:57 time: 0.0527 data_time: 0.0073 memory: 662 2022/12/03 12:48:23 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:04:56 time: 0.0516 data_time: 0.0090 memory: 662 2022/12/03 12:48:24 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:04:54 time: 0.0513 data_time: 0.0106 memory: 674 2022/12/03 12:48:25 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:04:53 time: 0.0531 data_time: 0.0095 memory: 674 2022/12/03 12:48:26 - mmengine - INFO - Epoch(val) [7][1060/6282] eta: 0:04:51 time: 0.0538 data_time: 0.0096 memory: 674 2022/12/03 12:48:27 - mmengine - INFO - Epoch(val) [7][1080/6282] eta: 0:04:50 time: 0.0530 data_time: 0.0097 memory: 674 2022/12/03 12:48:28 - mmengine - INFO - Epoch(val) [7][1100/6282] eta: 0:04:48 time: 0.0499 data_time: 0.0077 memory: 674 2022/12/03 12:48:30 - mmengine - INFO - Epoch(val) [7][1120/6282] eta: 0:04:47 time: 0.0554 data_time: 0.0127 memory: 674 2022/12/03 12:48:30 - mmengine - INFO - Epoch(val) [7][1140/6282] eta: 0:04:46 time: 0.0490 data_time: 0.0075 memory: 674 2022/12/03 12:48:32 - mmengine - INFO - Epoch(val) [7][1160/6282] eta: 0:04:44 time: 0.0554 data_time: 0.0091 memory: 674 2022/12/03 12:48:33 - mmengine - INFO - Epoch(val) [7][1180/6282] eta: 0:04:43 time: 0.0520 data_time: 0.0078 memory: 674 2022/12/03 12:48:34 - mmengine - INFO - Epoch(val) [7][1200/6282] eta: 0:04:41 time: 0.0499 data_time: 0.0057 memory: 674 2022/12/03 12:48:35 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:04:40 time: 0.0553 data_time: 0.0088 memory: 674 2022/12/03 12:48:36 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:04:40 time: 0.0612 data_time: 0.0115 memory: 733 2022/12/03 12:48:37 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:04:38 time: 0.0554 data_time: 0.0088 memory: 733 2022/12/03 12:48:38 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:04:37 time: 0.0525 data_time: 0.0085 memory: 733 2022/12/03 12:48:39 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:04:37 time: 0.0626 data_time: 0.0121 memory: 733 2022/12/03 12:48:41 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:04:36 time: 0.0618 data_time: 0.0146 memory: 733 2022/12/03 12:48:42 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:04:35 time: 0.0566 data_time: 0.0126 memory: 733 2022/12/03 12:48:43 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:04:34 time: 0.0630 data_time: 0.0188 memory: 733 2022/12/03 12:48:44 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:04:34 time: 0.0608 data_time: 0.0099 memory: 733 2022/12/03 12:48:46 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:04:33 time: 0.0641 data_time: 0.0160 memory: 733 2022/12/03 12:48:47 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:04:33 time: 0.0675 data_time: 0.0195 memory: 733 2022/12/03 12:48:48 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:04:31 time: 0.0556 data_time: 0.0082 memory: 733 2022/12/03 12:48:49 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:04:30 time: 0.0564 data_time: 0.0098 memory: 733 2022/12/03 12:48:50 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:04:29 time: 0.0514 data_time: 0.0066 memory: 733 2022/12/03 12:48:51 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:04:28 time: 0.0544 data_time: 0.0075 memory: 733 2022/12/03 12:48:52 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:04:27 time: 0.0567 data_time: 0.0090 memory: 820 2022/12/03 12:48:54 - mmengine - INFO - Epoch(val) [7][1540/6282] eta: 0:04:26 time: 0.0583 data_time: 0.0060 memory: 820 2022/12/03 12:48:55 - mmengine - INFO - Epoch(val) [7][1560/6282] eta: 0:04:25 time: 0.0596 data_time: 0.0077 memory: 820 2022/12/03 12:48:56 - mmengine - INFO - Epoch(val) [7][1580/6282] eta: 0:04:24 time: 0.0589 data_time: 0.0085 memory: 820 2022/12/03 12:48:57 - mmengine - INFO - Epoch(val) [7][1600/6282] eta: 0:04:23 time: 0.0550 data_time: 0.0057 memory: 820 2022/12/03 12:48:58 - mmengine - INFO - Epoch(val) [7][1620/6282] eta: 0:04:22 time: 0.0645 data_time: 0.0088 memory: 820 2022/12/03 12:49:00 - mmengine - INFO - Epoch(val) [7][1640/6282] eta: 0:04:21 time: 0.0594 data_time: 0.0102 memory: 733 2022/12/03 12:49:01 - mmengine - INFO - Epoch(val) [7][1660/6282] eta: 0:04:20 time: 0.0540 data_time: 0.0061 memory: 733 2022/12/03 12:49:02 - mmengine - INFO - Epoch(val) [7][1680/6282] eta: 0:04:18 time: 0.0541 data_time: 0.0092 memory: 733 2022/12/03 12:49:03 - mmengine - INFO - Epoch(val) [7][1700/6282] eta: 0:04:17 time: 0.0545 data_time: 0.0070 memory: 733 2022/12/03 12:49:04 - mmengine - INFO - Epoch(val) [7][1720/6282] eta: 0:04:16 time: 0.0547 data_time: 0.0072 memory: 733 2022/12/03 12:49:05 - mmengine - INFO - Epoch(val) [7][1740/6282] eta: 0:04:15 time: 0.0587 data_time: 0.0067 memory: 733 2022/12/03 12:49:06 - mmengine - INFO - Epoch(val) [7][1760/6282] eta: 0:04:14 time: 0.0580 data_time: 0.0077 memory: 733 2022/12/03 12:49:07 - mmengine - INFO - Epoch(val) [7][1780/6282] eta: 0:04:13 time: 0.0562 data_time: 0.0056 memory: 733 2022/12/03 12:49:09 - mmengine - INFO - Epoch(val) [7][1800/6282] eta: 0:04:12 time: 0.0574 data_time: 0.0072 memory: 733 2022/12/03 12:49:10 - mmengine - INFO - Epoch(val) [7][1820/6282] eta: 0:04:11 time: 0.0617 data_time: 0.0099 memory: 733 2022/12/03 12:49:11 - mmengine - INFO - Epoch(val) [7][1840/6282] eta: 0:04:10 time: 0.0588 data_time: 0.0077 memory: 733 2022/12/03 12:49:12 - mmengine - INFO - Epoch(val) [7][1860/6282] eta: 0:04:09 time: 0.0632 data_time: 0.0099 memory: 733 2022/12/03 12:49:14 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:04:09 time: 0.0757 data_time: 0.0252 memory: 733 2022/12/03 12:49:15 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:04:08 time: 0.0595 data_time: 0.0126 memory: 733 2022/12/03 12:49:16 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:04:07 time: 0.0579 data_time: 0.0082 memory: 733 2022/12/03 12:49:17 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:04:06 time: 0.0689 data_time: 0.0183 memory: 733 2022/12/03 12:49:19 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:04:05 time: 0.0534 data_time: 0.0081 memory: 679 2022/12/03 12:49:20 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:04:04 time: 0.0548 data_time: 0.0110 memory: 679 2022/12/03 12:49:21 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:04:03 time: 0.0591 data_time: 0.0124 memory: 679 2022/12/03 12:49:22 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:04:01 time: 0.0542 data_time: 0.0091 memory: 679 2022/12/03 12:49:23 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:04:00 time: 0.0557 data_time: 0.0116 memory: 679 2022/12/03 12:49:24 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:03:59 time: 0.0579 data_time: 0.0072 memory: 679 2022/12/03 12:49:25 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:03:58 time: 0.0536 data_time: 0.0082 memory: 679 2022/12/03 12:49:26 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:03:57 time: 0.0550 data_time: 0.0086 memory: 679 2022/12/03 12:49:28 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:03:56 time: 0.0553 data_time: 0.0090 memory: 679 2022/12/03 12:49:29 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:03:54 time: 0.0565 data_time: 0.0117 memory: 679 2022/12/03 12:49:30 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:03:53 time: 0.0574 data_time: 0.0088 memory: 674 2022/12/03 12:49:31 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:03:52 time: 0.0495 data_time: 0.0093 memory: 674 2022/12/03 12:49:32 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:03:51 time: 0.0525 data_time: 0.0098 memory: 674 2022/12/03 12:49:33 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:03:49 time: 0.0517 data_time: 0.0065 memory: 674 2022/12/03 12:49:34 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:03:48 time: 0.0564 data_time: 0.0083 memory: 674 2022/12/03 12:49:35 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:03:47 time: 0.0522 data_time: 0.0078 memory: 679 2022/12/03 12:49:36 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:03:46 time: 0.0587 data_time: 0.0118 memory: 679 2022/12/03 12:49:37 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:03:45 time: 0.0539 data_time: 0.0090 memory: 679 2022/12/03 12:49:38 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:03:43 time: 0.0567 data_time: 0.0098 memory: 679 2022/12/03 12:49:40 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:03:42 time: 0.0518 data_time: 0.0077 memory: 679 2022/12/03 12:49:41 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:03:41 time: 0.0528 data_time: 0.0100 memory: 674 2022/12/03 12:49:42 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:03:40 time: 0.0498 data_time: 0.0074 memory: 674 2022/12/03 12:49:43 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:03:38 time: 0.0485 data_time: 0.0066 memory: 674 2022/12/03 12:49:44 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:03:37 time: 0.0538 data_time: 0.0067 memory: 674 2022/12/03 12:49:45 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:03:36 time: 0.0465 data_time: 0.0059 memory: 674 2022/12/03 12:49:46 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:03:34 time: 0.0554 data_time: 0.0091 memory: 733 2022/12/03 12:49:47 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:03:33 time: 0.0553 data_time: 0.0082 memory: 733 2022/12/03 12:49:48 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:03:32 time: 0.0556 data_time: 0.0079 memory: 733 2022/12/03 12:49:49 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:03:31 time: 0.0558 data_time: 0.0082 memory: 733 2022/12/03 12:49:50 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:03:30 time: 0.0523 data_time: 0.0053 memory: 733 2022/12/03 12:49:51 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:03:29 time: 0.0562 data_time: 0.0081 memory: 733 2022/12/03 12:49:52 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:03:27 time: 0.0555 data_time: 0.0074 memory: 733 2022/12/03 12:49:53 - mmengine - INFO - Epoch(val) 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0:03:18 time: 0.0498 data_time: 0.0089 memory: 679 2022/12/03 12:50:04 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:03:17 time: 0.0490 data_time: 0.0071 memory: 679 2022/12/03 12:50:05 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:03:15 time: 0.0517 data_time: 0.0091 memory: 679 2022/12/03 12:50:06 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:03:14 time: 0.0521 data_time: 0.0083 memory: 679 2022/12/03 12:50:07 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:03:13 time: 0.0517 data_time: 0.0073 memory: 679 2022/12/03 12:50:08 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:03:12 time: 0.0557 data_time: 0.0070 memory: 733 2022/12/03 12:50:09 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:03:11 time: 0.0547 data_time: 0.0096 memory: 733 2022/12/03 12:50:10 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:03:10 time: 0.0554 data_time: 0.0075 memory: 733 2022/12/03 12:50:11 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:03:08 time: 0.0521 data_time: 0.0074 memory: 733 2022/12/03 12:50:13 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:03:07 time: 0.0552 data_time: 0.0056 memory: 702 2022/12/03 12:50:14 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:03:06 time: 0.0509 data_time: 0.0063 memory: 702 2022/12/03 12:50:15 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:03:05 time: 0.0534 data_time: 0.0085 memory: 702 2022/12/03 12:50:16 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:03:04 time: 0.0491 data_time: 0.0058 memory: 702 2022/12/03 12:50:17 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:03:02 time: 0.0572 data_time: 0.0076 memory: 733 2022/12/03 12:50:18 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:03:01 time: 0.0568 data_time: 0.0071 memory: 733 2022/12/03 12:50:19 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:03:00 time: 0.0589 data_time: 0.0085 memory: 733 2022/12/03 12:50:20 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:02:59 time: 0.0577 data_time: 0.0074 memory: 733 2022/12/03 12:50:21 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:02:58 time: 0.0564 data_time: 0.0084 memory: 733 2022/12/03 12:50:22 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:02:57 time: 0.0520 data_time: 0.0082 memory: 679 2022/12/03 12:50:24 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:02:56 time: 0.0534 data_time: 0.0074 memory: 679 2022/12/03 12:50:25 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:02:55 time: 0.0553 data_time: 0.0082 memory: 679 2022/12/03 12:50:26 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:02:53 time: 0.0522 data_time: 0.0092 memory: 679 2022/12/03 12:50:27 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:02:52 time: 0.0541 data_time: 0.0061 memory: 733 2022/12/03 12:50:28 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:02:51 time: 0.0539 data_time: 0.0063 memory: 733 2022/12/03 12:50:29 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:02:50 time: 0.0587 data_time: 0.0061 memory: 733 2022/12/03 12:50:30 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:02:49 time: 0.0563 data_time: 0.0055 memory: 733 2022/12/03 12:50:31 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:02:48 time: 0.0513 data_time: 0.0055 memory: 733 2022/12/03 12:50:32 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:02:46 time: 0.0547 data_time: 0.0065 memory: 733 2022/12/03 12:50:33 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:02:45 time: 0.0573 data_time: 0.0103 memory: 733 2022/12/03 12:50:35 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:02:44 time: 0.0587 data_time: 0.0077 memory: 733 2022/12/03 12:50:36 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:02:43 time: 0.0556 data_time: 0.0071 memory: 733 2022/12/03 12:50:37 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:02:42 time: 0.0563 data_time: 0.0061 memory: 733 2022/12/03 12:50:38 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:02:41 time: 0.0532 data_time: 0.0093 memory: 674 2022/12/03 12:50:39 - mmengine - INFO - Epoch(val) [7][3420/6282] eta: 0:02:40 time: 0.0526 data_time: 0.0070 memory: 674 2022/12/03 12:50:40 - mmengine - INFO - Epoch(val) [7][3440/6282] eta: 0:02:39 time: 0.0550 data_time: 0.0089 memory: 674 2022/12/03 12:50:41 - mmengine - INFO - Epoch(val) [7][3460/6282] eta: 0:02:37 time: 0.0527 data_time: 0.0071 memory: 674 2022/12/03 12:50:42 - mmengine - INFO - Epoch(val) [7][3480/6282] eta: 0:02:36 time: 0.0517 data_time: 0.0069 memory: 674 2022/12/03 12:50:43 - mmengine - INFO - Epoch(val) [7][3500/6282] eta: 0:02:35 time: 0.0540 data_time: 0.0097 memory: 674 2022/12/03 12:50:44 - mmengine - INFO - Epoch(val) [7][3520/6282] eta: 0:02:34 time: 0.0534 data_time: 0.0067 memory: 674 2022/12/03 12:50:45 - mmengine - INFO - Epoch(val) [7][3540/6282] eta: 0:02:33 time: 0.0553 data_time: 0.0086 memory: 674 2022/12/03 12:50:47 - mmengine - INFO - Epoch(val) [7][3560/6282] eta: 0:02:32 time: 0.0530 data_time: 0.0072 memory: 674 2022/12/03 12:50:48 - mmengine - INFO - Epoch(val) 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0:02:21 time: 0.0557 data_time: 0.0074 memory: 733 2022/12/03 12:50:58 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:02:20 time: 0.0576 data_time: 0.0093 memory: 733 2022/12/03 12:50:59 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:02:19 time: 0.0550 data_time: 0.0064 memory: 733 2022/12/03 12:51:00 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:02:18 time: 0.0578 data_time: 0.0078 memory: 733 2022/12/03 12:51:01 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:02:17 time: 0.0552 data_time: 0.0064 memory: 733 2022/12/03 12:51:02 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:02:16 time: 0.0548 data_time: 0.0084 memory: 733 2022/12/03 12:51:03 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:02:15 time: 0.0604 data_time: 0.0087 memory: 733 2022/12/03 12:51:04 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:02:14 time: 0.0554 data_time: 0.0082 memory: 733 2022/12/03 12:51:05 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:02:12 time: 0.0521 data_time: 0.0067 memory: 733 2022/12/03 12:51:06 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:02:11 time: 0.0548 data_time: 0.0065 memory: 733 2022/12/03 12:51:08 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:02:10 time: 0.0540 data_time: 0.0067 memory: 733 2022/12/03 12:51:09 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:02:09 time: 0.0529 data_time: 0.0076 memory: 733 2022/12/03 12:51:10 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:02:08 time: 0.0515 data_time: 0.0068 memory: 733 2022/12/03 12:51:11 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:02:07 time: 0.0498 data_time: 0.0053 memory: 733 2022/12/03 12:51:12 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:02:06 time: 0.0506 data_time: 0.0062 memory: 733 2022/12/03 12:51:13 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:02:04 time: 0.0492 data_time: 0.0045 memory: 812 2022/12/03 12:51:14 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:02:03 time: 0.0590 data_time: 0.0060 memory: 812 2022/12/03 12:51:15 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:02:02 time: 0.0659 data_time: 0.0051 memory: 812 2022/12/03 12:51:16 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:02:01 time: 0.0615 data_time: 0.0076 memory: 812 2022/12/03 12:51:18 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:02:00 time: 0.0612 data_time: 0.0090 memory: 812 2022/12/03 12:51:19 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:01:59 time: 0.0580 data_time: 0.0073 memory: 812 2022/12/03 12:51:20 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:01:58 time: 0.0560 data_time: 0.0074 memory: 674 2022/12/03 12:51:21 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:01:57 time: 0.0500 data_time: 0.0079 memory: 674 2022/12/03 12:51:22 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:01:56 time: 0.0498 data_time: 0.0077 memory: 674 2022/12/03 12:51:23 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:01:54 time: 0.0493 data_time: 0.0057 memory: 674 2022/12/03 12:51:24 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:01:53 time: 0.0530 data_time: 0.0068 memory: 674 2022/12/03 12:51:25 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:01:52 time: 0.0500 data_time: 0.0076 memory: 673 2022/12/03 12:51:26 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:01:51 time: 0.0505 data_time: 0.0052 memory: 673 2022/12/03 12:51:27 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:01:50 time: 0.0511 data_time: 0.0073 memory: 673 2022/12/03 12:51:28 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:01:49 time: 0.0522 data_time: 0.0066 memory: 673 2022/12/03 12:51:29 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:01:47 time: 0.0519 data_time: 0.0070 memory: 673 2022/12/03 12:51:30 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:01:46 time: 0.0552 data_time: 0.0079 memory: 733 2022/12/03 12:51:31 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:01:45 time: 0.0533 data_time: 0.0055 memory: 733 2022/12/03 12:51:32 - mmengine - INFO - Epoch(val) [7][4400/6282] eta: 0:01:44 time: 0.0532 data_time: 0.0061 memory: 733 2022/12/03 12:51:33 - mmengine - INFO - Epoch(val) [7][4420/6282] eta: 0:01:43 time: 0.0559 data_time: 0.0087 memory: 733 2022/12/03 12:51:35 - mmengine - INFO - Epoch(val) [7][4440/6282] eta: 0:01:42 time: 0.0575 data_time: 0.0068 memory: 740 2022/12/03 12:51:36 - mmengine - INFO - Epoch(val) [7][4460/6282] eta: 0:01:41 time: 0.0588 data_time: 0.0094 memory: 740 2022/12/03 12:51:37 - mmengine - INFO - Epoch(val) [7][4480/6282] eta: 0:01:40 time: 0.0588 data_time: 0.0072 memory: 740 2022/12/03 12:51:38 - mmengine - INFO - Epoch(val) [7][4500/6282] eta: 0:01:39 time: 0.0581 data_time: 0.0072 memory: 740 2022/12/03 12:51:39 - mmengine - INFO - Epoch(val) [7][4520/6282] eta: 0:01:38 time: 0.0585 data_time: 0.0116 memory: 740 2022/12/03 12:51:40 - mmengine - INFO - Epoch(val) [7][4540/6282] eta: 0:01:36 time: 0.0517 data_time: 0.0076 memory: 679 2022/12/03 12:51:41 - mmengine - INFO - Epoch(val) 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12:52:17 - mmengine - INFO - Epoch(val) [7][5220/6282] eta: 0:00:58 time: 0.0554 data_time: 0.0071 memory: 674 2022/12/03 12:52:18 - mmengine - INFO - Epoch(val) [7][5240/6282] eta: 0:00:57 time: 0.0533 data_time: 0.0071 memory: 673 2022/12/03 12:52:19 - mmengine - INFO - Epoch(val) [7][5260/6282] eta: 0:00:56 time: 0.0552 data_time: 0.0073 memory: 673 2022/12/03 12:52:20 - mmengine - INFO - Epoch(val) [7][5280/6282] eta: 0:00:55 time: 0.0547 data_time: 0.0083 memory: 673 2022/12/03 12:52:21 - mmengine - INFO - Epoch(val) [7][5300/6282] eta: 0:00:54 time: 0.0542 data_time: 0.0089 memory: 673 2022/12/03 12:52:23 - mmengine - INFO - Epoch(val) [7][5320/6282] eta: 0:00:53 time: 0.0534 data_time: 0.0088 memory: 674 2022/12/03 12:52:24 - mmengine - INFO - Epoch(val) [7][5340/6282] eta: 0:00:52 time: 0.0552 data_time: 0.0074 memory: 674 2022/12/03 12:52:25 - mmengine - INFO - Epoch(val) [7][5360/6282] eta: 0:00:51 time: 0.0555 data_time: 0.0084 memory: 674 2022/12/03 12:52:26 - mmengine - 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memory: 733 2022/12/03 12:53:02 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:13 time: 0.0570 data_time: 0.0069 memory: 733 2022/12/03 12:53:03 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:12 time: 0.0586 data_time: 0.0088 memory: 733 2022/12/03 12:53:04 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:11 time: 0.0562 data_time: 0.0099 memory: 733 2022/12/03 12:53:05 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:10 time: 0.0543 data_time: 0.0077 memory: 733 2022/12/03 12:53:06 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:08 time: 0.0513 data_time: 0.0071 memory: 733 2022/12/03 12:53:07 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:07 time: 0.0547 data_time: 0.0076 memory: 733 2022/12/03 12:53:08 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:06 time: 0.0540 data_time: 0.0062 memory: 733 2022/12/03 12:53:09 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:05 time: 0.0525 data_time: 0.0048 memory: 733 2022/12/03 12:53:10 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:04 time: 0.0463 data_time: 0.0064 memory: 733 2022/12/03 12:53:11 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:03 time: 0.0375 data_time: 0.0031 memory: 733 2022/12/03 12:53:12 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:02 time: 0.0362 data_time: 0.0024 memory: 733 2022/12/03 12:53:12 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:01 time: 0.0358 data_time: 0.0019 memory: 733 2022/12/03 12:53:13 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0362 data_time: 0.0022 memory: 733 2022/12/03 12:57:48 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.2604 2022/12/03 12:57:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2022/12/03 12:57:51 - mmengine - INFO - The best checkpoint with 0.2604 mAP/mAP@0.5IOU at 7 epoch is saved to best_mAP/mAP@0.5IOU_epoch_7.pth. 2022/12/03 12:57:58 - mmengine - INFO - Epoch(train) [8][ 20/4451] lr: 3.0788e-02 eta: 1:14:25 time: 0.3703 data_time: 0.0476 memory: 8510 grad_norm: 0.1675 loss: 0.0412 recall@thr=0.5: 0.5933 prec@thr=0.5: 0.7167 recall@top3: 0.8683 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0412 2022/12/03 12:58:05 - mmengine - INFO - Epoch(train) [8][ 40/4451] lr: 3.0707e-02 eta: 1:14:19 time: 0.3335 data_time: 0.0138 memory: 8510 grad_norm: 0.1687 loss: 0.0413 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7807 recall@top3: 0.8947 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0413 2022/12/03 12:58:11 - mmengine - INFO - Epoch(train) [8][ 60/4451] lr: 3.0626e-02 eta: 1:14:12 time: 0.3337 data_time: 0.0114 memory: 8510 grad_norm: 0.1624 loss: 0.0388 recall@thr=0.5: 0.5280 prec@thr=0.5: 0.5467 recall@top3: 0.7440 prec@top3: 0.5333 recall@top5: 0.9040 prec@top5: 0.3840 loss_action_cls: 0.0388 2022/12/03 12:58:18 - mmengine - INFO - Epoch(train) [8][ 80/4451] lr: 3.0544e-02 eta: 1:14:05 time: 0.3340 data_time: 0.0118 memory: 8510 grad_norm: 0.1658 loss: 0.0402 recall@thr=0.5: 0.8177 prec@thr=0.5: 0.8750 recall@top3: 0.9688 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0402 2022/12/03 12:58:25 - mmengine - INFO - Epoch(train) [8][ 100/4451] lr: 3.0463e-02 eta: 1:13:58 time: 0.3358 data_time: 0.0118 memory: 8510 grad_norm: 0.1710 loss: 0.0404 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8550 recall@top3: 0.8250 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.4600 loss_action_cls: 0.0404 2022/12/03 12:58:31 - mmengine - INFO - Epoch(train) [8][ 120/4451] lr: 3.0382e-02 eta: 1:13:52 time: 0.3352 data_time: 0.0127 memory: 8510 grad_norm: 0.1606 loss: 0.0424 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7267 recall@top3: 0.8800 prec@top3: 0.7867 recall@top5: 0.9867 prec@top5: 0.5440 loss_action_cls: 0.0424 2022/12/03 12:58:38 - mmengine - INFO - Epoch(train) [8][ 140/4451] lr: 3.0301e-02 eta: 1:13:45 time: 0.3340 data_time: 0.0137 memory: 8510 grad_norm: 0.1612 loss: 0.0451 recall@thr=0.5: 0.3519 prec@thr=0.5: 0.4722 recall@top3: 0.7083 prec@top3: 0.5370 recall@top5: 0.8889 prec@top5: 0.4222 loss_action_cls: 0.0451 2022/12/03 12:58:45 - mmengine - INFO - Epoch(train) [8][ 160/4451] lr: 3.0220e-02 eta: 1:13:38 time: 0.3335 data_time: 0.0152 memory: 8510 grad_norm: 0.1707 loss: 0.0403 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.6349 recall@top3: 0.8016 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.3810 loss_action_cls: 0.0403 2022/12/03 12:58:51 - mmengine - INFO - Epoch(train) [8][ 180/4451] lr: 3.0139e-02 eta: 1:13:32 time: 0.3346 data_time: 0.0124 memory: 8510 grad_norm: 0.1739 loss: 0.0452 recall@thr=0.5: 0.7057 prec@thr=0.5: 0.8073 recall@top3: 0.8255 prec@top3: 0.8021 recall@top5: 0.9219 prec@top5: 0.5562 loss_action_cls: 0.0452 2022/12/03 12:58:58 - mmengine - INFO - Epoch(train) [8][ 200/4451] lr: 3.0058e-02 eta: 1:13:25 time: 0.3334 data_time: 0.0131 memory: 8510 grad_norm: 0.1652 loss: 0.0419 recall@thr=0.5: 0.5265 prec@thr=0.5: 0.7879 recall@top3: 0.7917 prec@top3: 0.6212 recall@top5: 0.9432 prec@top5: 0.4636 loss_action_cls: 0.0419 2022/12/03 12:59:05 - mmengine - INFO - Epoch(train) [8][ 220/4451] lr: 2.9977e-02 eta: 1:13:18 time: 0.3350 data_time: 0.0116 memory: 8510 grad_norm: 0.1654 loss: 0.0449 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.7029 recall@top3: 0.8297 prec@top3: 0.6377 recall@top5: 0.9493 prec@top5: 0.4435 loss_action_cls: 0.0449 2022/12/03 12:59:11 - mmengine - INFO - Epoch(train) [8][ 240/4451] lr: 2.9896e-02 eta: 1:13:12 time: 0.3338 data_time: 0.0140 memory: 8510 grad_norm: 0.1736 loss: 0.0398 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.8824 recall@top3: 0.8824 prec@top3: 0.7647 recall@top5: 0.9559 prec@top5: 0.5059 loss_action_cls: 0.0398 2022/12/03 12:59:18 - mmengine - INFO - Epoch(train) [8][ 260/4451] lr: 2.9815e-02 eta: 1:13:05 time: 0.3356 data_time: 0.0137 memory: 8510 grad_norm: 0.1740 loss: 0.0421 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.5528 recall@top3: 0.7889 prec@top3: 0.6444 recall@top5: 0.9222 prec@top5: 0.4667 loss_action_cls: 0.0421 2022/12/03 12:59:25 - mmengine - INFO - Epoch(train) [8][ 280/4451] lr: 2.9735e-02 eta: 1:12:58 time: 0.3338 data_time: 0.0120 memory: 8510 grad_norm: 0.1668 loss: 0.0409 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.5351 recall@top3: 0.8421 prec@top3: 0.5614 recall@top5: 0.9298 prec@top5: 0.3895 loss_action_cls: 0.0409 2022/12/03 12:59:32 - mmengine - INFO - Epoch(train) [8][ 300/4451] lr: 2.9654e-02 eta: 1:12:51 time: 0.3331 data_time: 0.0120 memory: 8510 grad_norm: 0.1692 loss: 0.0391 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7633 recall@top3: 0.6700 prec@top3: 0.5067 recall@top5: 0.7467 prec@top5: 0.3600 loss_action_cls: 0.0391 2022/12/03 12:59:38 - mmengine - INFO - Epoch(train) [8][ 320/4451] lr: 2.9573e-02 eta: 1:12:45 time: 0.3326 data_time: 0.0160 memory: 8510 grad_norm: 0.1700 loss: 0.0389 recall@thr=0.5: 0.5458 prec@thr=0.5: 0.8250 recall@top3: 0.7917 prec@top3: 0.8667 recall@top5: 0.9208 prec@top5: 0.6200 loss_action_cls: 0.0389 2022/12/03 12:59:45 - mmengine - INFO - Epoch(train) [8][ 340/4451] lr: 2.9493e-02 eta: 1:12:38 time: 0.3351 data_time: 0.0145 memory: 8510 grad_norm: 0.1730 loss: 0.0403 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7467 recall@top3: 0.8533 prec@top3: 0.7067 recall@top5: 0.9733 prec@top5: 0.4880 loss_action_cls: 0.0403 2022/12/03 12:59:52 - mmengine - INFO - Epoch(train) [8][ 360/4451] lr: 2.9413e-02 eta: 1:12:31 time: 0.3347 data_time: 0.0148 memory: 8510 grad_norm: 0.1659 loss: 0.0404 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.7205 recall@top3: 0.7348 prec@top3: 0.6061 recall@top5: 0.9167 prec@top5: 0.4455 loss_action_cls: 0.0404 2022/12/03 12:59:58 - mmengine - INFO - Epoch(train) [8][ 380/4451] lr: 2.9332e-02 eta: 1:12:25 time: 0.3327 data_time: 0.0117 memory: 8510 grad_norm: 0.1661 loss: 0.0376 recall@thr=0.5: 0.5651 prec@thr=0.5: 0.7143 recall@top3: 0.7635 prec@top3: 0.6667 recall@top5: 0.9492 prec@top5: 0.5238 loss_action_cls: 0.0376 2022/12/03 13:00:05 - mmengine - INFO - Epoch(train) [8][ 400/4451] lr: 2.9252e-02 eta: 1:12:18 time: 0.3342 data_time: 0.0122 memory: 8510 grad_norm: 0.1696 loss: 0.0445 recall@thr=0.5: 0.5089 prec@thr=0.5: 0.7440 recall@top3: 0.7500 prec@top3: 0.6429 recall@top5: 0.9821 prec@top5: 0.4857 loss_action_cls: 0.0445 2022/12/03 13:00:12 - mmengine - INFO - Epoch(train) [8][ 420/4451] lr: 2.9172e-02 eta: 1:12:11 time: 0.3345 data_time: 0.0158 memory: 8510 grad_norm: 0.1693 loss: 0.0386 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7281 recall@top3: 0.7632 prec@top3: 0.6140 recall@top5: 0.8947 prec@top5: 0.4421 loss_action_cls: 0.0386 2022/12/03 13:00:18 - mmengine - INFO - Epoch(train) [8][ 440/4451] lr: 2.9091e-02 eta: 1:12:04 time: 0.3352 data_time: 0.0137 memory: 8510 grad_norm: 0.1707 loss: 0.0404 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7708 recall@top3: 0.8264 prec@top3: 0.6111 recall@top5: 0.9514 prec@top5: 0.4250 loss_action_cls: 0.0404 2022/12/03 13:00:25 - mmengine - INFO - Epoch(train) [8][ 460/4451] lr: 2.9011e-02 eta: 1:11:58 time: 0.3348 data_time: 0.0109 memory: 8510 grad_norm: 0.1700 loss: 0.0397 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.9167 recall@top3: 0.7917 prec@top3: 0.5000 recall@top5: 0.9583 prec@top5: 0.3667 loss_action_cls: 0.0397 2022/12/03 13:00:32 - mmengine - INFO - Epoch(train) [8][ 480/4451] lr: 2.8931e-02 eta: 1:11:51 time: 0.3359 data_time: 0.0151 memory: 8510 grad_norm: 0.1723 loss: 0.0379 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8229 recall@top3: 0.9010 prec@top3: 0.7292 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0379 2022/12/03 13:00:38 - mmengine - INFO - Epoch(train) [8][ 500/4451] lr: 2.8851e-02 eta: 1:11:44 time: 0.3353 data_time: 0.0135 memory: 8510 grad_norm: 0.1701 loss: 0.0388 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.7542 recall@top3: 0.9167 prec@top3: 0.5667 recall@top5: 0.9333 prec@top5: 0.3500 loss_action_cls: 0.0388 2022/12/03 13:00:45 - mmengine - INFO - Epoch(train) [8][ 520/4451] lr: 2.8771e-02 eta: 1:11:38 time: 0.3350 data_time: 0.0140 memory: 8510 grad_norm: 0.1741 loss: 0.0405 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.8333 recall@top3: 0.7731 prec@top3: 0.7037 recall@top5: 0.8380 prec@top5: 0.4778 loss_action_cls: 0.0405 2022/12/03 13:00:52 - mmengine - INFO - Epoch(train) [8][ 540/4451] lr: 2.8692e-02 eta: 1:11:31 time: 0.3347 data_time: 0.0116 memory: 8510 grad_norm: 0.1745 loss: 0.0413 recall@thr=0.5: 0.6623 prec@thr=0.5: 0.6667 recall@top3: 0.7763 prec@top3: 0.4561 recall@top5: 0.8640 prec@top5: 0.3263 loss_action_cls: 0.0413 2022/12/03 13:00:59 - mmengine - INFO - Epoch(train) [8][ 560/4451] lr: 2.8612e-02 eta: 1:11:24 time: 0.3328 data_time: 0.0146 memory: 8510 grad_norm: 0.1744 loss: 0.0347 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7917 recall@top3: 0.8417 prec@top3: 0.6167 recall@top5: 0.9750 prec@top5: 0.4300 loss_action_cls: 0.0347 2022/12/03 13:01:05 - mmengine - INFO - Epoch(train) [8][ 580/4451] lr: 2.8532e-02 eta: 1:11:18 time: 0.3351 data_time: 0.0108 memory: 8510 grad_norm: 0.1662 loss: 0.0389 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8646 recall@top3: 0.8229 prec@top3: 0.6458 recall@top5: 0.9167 prec@top5: 0.4375 loss_action_cls: 0.0389 2022/12/03 13:01:12 - mmengine - INFO - Epoch(train) [8][ 600/4451] lr: 2.8452e-02 eta: 1:11:11 time: 0.3324 data_time: 0.0112 memory: 8510 grad_norm: 0.1706 loss: 0.0395 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.7138 recall@top3: 0.6377 prec@top3: 0.5507 recall@top5: 0.8949 prec@top5: 0.4696 loss_action_cls: 0.0395 2022/12/03 13:01:19 - mmengine - INFO - Epoch(train) [8][ 620/4451] lr: 2.8373e-02 eta: 1:11:04 time: 0.3341 data_time: 0.0127 memory: 8510 grad_norm: 0.1632 loss: 0.0398 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7963 recall@top3: 0.9537 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0398 2022/12/03 13:01:25 - mmengine - INFO - Epoch(train) [8][ 640/4451] lr: 2.8293e-02 eta: 1:10:57 time: 0.3350 data_time: 0.0136 memory: 8510 grad_norm: 0.1701 loss: 0.0342 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6354 recall@top3: 0.8958 prec@top3: 0.6042 recall@top5: 0.9792 prec@top5: 0.4000 loss_action_cls: 0.0342 2022/12/03 13:01:32 - mmengine - INFO - Epoch(train) [8][ 660/4451] lr: 2.8214e-02 eta: 1:10:51 time: 0.3360 data_time: 0.0117 memory: 8510 grad_norm: 0.1772 loss: 0.0387 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7315 recall@top3: 0.8241 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4111 loss_action_cls: 0.0387 2022/12/03 13:01:39 - mmengine - INFO - Epoch(train) [8][ 680/4451] lr: 2.8134e-02 eta: 1:10:44 time: 0.3334 data_time: 0.0144 memory: 8510 grad_norm: 0.1745 loss: 0.0368 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8333 recall@top3: 0.8594 prec@top3: 0.6042 recall@top5: 0.9219 prec@top5: 0.4125 loss_action_cls: 0.0368 2022/12/03 13:01:45 - mmengine - INFO - Epoch(train) [8][ 700/4451] lr: 2.8055e-02 eta: 1:10:37 time: 0.3329 data_time: 0.0130 memory: 8510 grad_norm: 0.1715 loss: 0.0419 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7125 recall@top3: 0.8208 prec@top3: 0.7000 recall@top5: 0.9000 prec@top5: 0.4700 loss_action_cls: 0.0419 2022/12/03 13:01:52 - mmengine - INFO - Epoch(train) [8][ 720/4451] lr: 2.7976e-02 eta: 1:10:31 time: 0.3343 data_time: 0.0132 memory: 8510 grad_norm: 0.1640 loss: 0.0412 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.8333 recall@top3: 0.7920 prec@top3: 0.7067 recall@top5: 0.9200 prec@top5: 0.5120 loss_action_cls: 0.0412 2022/12/03 13:01:59 - mmengine - INFO - Epoch(train) [8][ 740/4451] lr: 2.7897e-02 eta: 1:10:24 time: 0.3351 data_time: 0.0123 memory: 8510 grad_norm: 0.1674 loss: 0.0422 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7847 recall@top3: 0.8333 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4167 loss_action_cls: 0.0422 2022/12/03 13:02:05 - mmengine - INFO - Epoch(train) [8][ 760/4451] lr: 2.7818e-02 eta: 1:10:17 time: 0.3348 data_time: 0.0126 memory: 8510 grad_norm: 0.1714 loss: 0.0401 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8175 recall@top3: 0.8095 prec@top3: 0.6667 recall@top5: 0.9603 prec@top5: 0.5048 loss_action_cls: 0.0401 2022/12/03 13:02:12 - mmengine - INFO - Epoch(train) [8][ 780/4451] lr: 2.7739e-02 eta: 1:10:11 time: 0.3332 data_time: 0.0123 memory: 8510 grad_norm: 0.1708 loss: 0.0410 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.6500 recall@top5: 0.9667 prec@top5: 0.4900 loss_action_cls: 0.0410 2022/12/03 13:02:19 - mmengine - INFO - Epoch(train) [8][ 800/4451] lr: 2.7660e-02 eta: 1:10:04 time: 0.3343 data_time: 0.0124 memory: 8510 grad_norm: 0.1681 loss: 0.0446 recall@thr=0.5: 0.5156 prec@thr=0.5: 0.6667 recall@top3: 0.6562 prec@top3: 0.6250 recall@top5: 0.7708 prec@top5: 0.4625 loss_action_cls: 0.0446 2022/12/03 13:02:25 - mmengine - INFO - Epoch(train) [8][ 820/4451] lr: 2.7581e-02 eta: 1:09:57 time: 0.3345 data_time: 0.0129 memory: 8510 grad_norm: 0.1769 loss: 0.0409 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7456 recall@top3: 0.8246 prec@top3: 0.7895 recall@top5: 0.9386 prec@top5: 0.5368 loss_action_cls: 0.0409 2022/12/03 13:02:32 - mmengine - INFO - Epoch(train) [8][ 840/4451] lr: 2.7502e-02 eta: 1:09:50 time: 0.3339 data_time: 0.0114 memory: 8510 grad_norm: 0.1710 loss: 0.0401 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.4321 recall@top3: 0.6728 prec@top3: 0.4074 recall@top5: 0.8025 prec@top5: 0.2815 loss_action_cls: 0.0401 2022/12/03 13:02:33 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:02:39 - mmengine - INFO - Epoch(train) [8][ 860/4451] lr: 2.7423e-02 eta: 1:09:44 time: 0.3339 data_time: 0.0140 memory: 8510 grad_norm: 0.1759 loss: 0.0412 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.7250 recall@top3: 0.7750 prec@top3: 0.6833 recall@top5: 0.8833 prec@top5: 0.4800 loss_action_cls: 0.0412 2022/12/03 13:02:45 - mmengine - INFO - Epoch(train) [8][ 880/4451] lr: 2.7345e-02 eta: 1:09:37 time: 0.3356 data_time: 0.0122 memory: 8510 grad_norm: 0.1719 loss: 0.0414 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.5917 recall@top3: 0.7500 prec@top3: 0.6167 recall@top5: 0.8583 prec@top5: 0.4300 loss_action_cls: 0.0414 2022/12/03 13:02:52 - mmengine - INFO - Epoch(train) [8][ 900/4451] lr: 2.7266e-02 eta: 1:09:30 time: 0.3337 data_time: 0.0126 memory: 8510 grad_norm: 0.1777 loss: 0.0415 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7440 recall@top3: 0.8095 prec@top3: 0.4286 recall@top5: 0.9524 prec@top5: 0.3286 loss_action_cls: 0.0415 2022/12/03 13:02:59 - mmengine - INFO - Epoch(train) [8][ 920/4451] lr: 2.7187e-02 eta: 1:09:24 time: 0.3344 data_time: 0.0142 memory: 8510 grad_norm: 0.1732 loss: 0.0381 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9222 recall@top3: 0.9667 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0381 2022/12/03 13:03:06 - mmengine - INFO - Epoch(train) [8][ 940/4451] lr: 2.7109e-02 eta: 1:09:17 time: 0.3339 data_time: 0.0115 memory: 8510 grad_norm: 0.1723 loss: 0.0427 recall@thr=0.5: 0.5042 prec@thr=0.5: 0.6736 recall@top3: 0.7549 prec@top3: 0.6944 recall@top5: 0.9118 prec@top5: 0.5083 loss_action_cls: 0.0427 2022/12/03 13:03:12 - mmengine - INFO - Epoch(train) [8][ 960/4451] lr: 2.7030e-02 eta: 1:09:10 time: 0.3340 data_time: 0.0115 memory: 8510 grad_norm: 0.1686 loss: 0.0420 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6296 recall@top3: 0.8704 prec@top3: 0.5556 recall@top5: 0.9259 prec@top5: 0.3667 loss_action_cls: 0.0420 2022/12/03 13:03:19 - mmengine - INFO - Epoch(train) [8][ 980/4451] lr: 2.6952e-02 eta: 1:09:03 time: 0.3327 data_time: 0.0149 memory: 8510 grad_norm: 0.1746 loss: 0.0425 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6310 recall@top3: 0.7738 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.3429 loss_action_cls: 0.0425 2022/12/03 13:03:26 - mmengine - INFO - Epoch(train) [8][1000/4451] lr: 2.6874e-02 eta: 1:08:57 time: 0.3350 data_time: 0.0127 memory: 8510 grad_norm: 0.1656 loss: 0.0384 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8571 recall@top3: 0.9206 prec@top3: 0.7619 recall@top5: 0.9683 prec@top5: 0.4762 loss_action_cls: 0.0384 2022/12/03 13:03:32 - mmengine - INFO - Epoch(train) [8][1020/4451] lr: 2.6796e-02 eta: 1:08:50 time: 0.3329 data_time: 0.0114 memory: 8510 grad_norm: 0.1700 loss: 0.0421 recall@thr=0.5: 0.4048 prec@thr=0.5: 0.4762 recall@top3: 0.6984 prec@top3: 0.4286 recall@top5: 0.7460 prec@top5: 0.2762 loss_action_cls: 0.0421 2022/12/03 13:03:39 - mmengine - INFO - Epoch(train) [8][1040/4451] lr: 2.6718e-02 eta: 1:08:43 time: 0.3354 data_time: 0.0133 memory: 8510 grad_norm: 0.1732 loss: 0.0381 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.7941 recall@top3: 0.7549 prec@top3: 0.6078 recall@top5: 0.8725 prec@top5: 0.4353 loss_action_cls: 0.0381 2022/12/03 13:03:46 - mmengine - INFO - Epoch(train) [8][1060/4451] lr: 2.6640e-02 eta: 1:08:37 time: 0.3346 data_time: 0.0149 memory: 8510 grad_norm: 0.1767 loss: 0.0402 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8583 recall@top3: 0.9000 prec@top3: 0.5500 recall@top5: 0.9500 prec@top5: 0.3700 loss_action_cls: 0.0402 2022/12/03 13:03:52 - mmengine - INFO - Epoch(train) [8][1080/4451] lr: 2.6562e-02 eta: 1:08:30 time: 0.3346 data_time: 0.0119 memory: 8510 grad_norm: 0.1691 loss: 0.0390 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6333 recall@top3: 0.7750 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4800 loss_action_cls: 0.0390 2022/12/03 13:03:59 - mmengine - INFO - Epoch(train) [8][1100/4451] lr: 2.6484e-02 eta: 1:08:23 time: 0.3350 data_time: 0.0131 memory: 8510 grad_norm: 0.1707 loss: 0.0413 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9167 recall@top3: 0.8036 prec@top3: 0.5000 recall@top5: 0.8750 prec@top5: 0.3286 loss_action_cls: 0.0413 2022/12/03 13:04:06 - mmengine - INFO - Epoch(train) [8][1120/4451] lr: 2.6406e-02 eta: 1:08:17 time: 0.3345 data_time: 0.0135 memory: 8510 grad_norm: 0.1653 loss: 0.0381 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7750 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 0.9417 prec@top5: 0.4100 loss_action_cls: 0.0381 2022/12/03 13:04:12 - mmengine - INFO - Epoch(train) [8][1140/4451] lr: 2.6328e-02 eta: 1:08:10 time: 0.3357 data_time: 0.0124 memory: 8510 grad_norm: 0.1737 loss: 0.0467 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.5175 recall@top3: 0.6228 prec@top3: 0.5614 recall@top5: 0.8684 prec@top5: 0.4526 loss_action_cls: 0.0467 2022/12/03 13:04:19 - mmengine - INFO - Epoch(train) [8][1160/4451] lr: 2.6250e-02 eta: 1:08:03 time: 0.3328 data_time: 0.0113 memory: 8510 grad_norm: 0.1742 loss: 0.0417 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8421 recall@top3: 0.8947 prec@top3: 0.7544 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0417 2022/12/03 13:04:26 - mmengine - INFO - Epoch(train) [8][1180/4451] lr: 2.6173e-02 eta: 1:07:56 time: 0.3351 data_time: 0.0125 memory: 8510 grad_norm: 0.1713 loss: 0.0461 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.5482 recall@top3: 0.6316 prec@top3: 0.5263 recall@top5: 0.8596 prec@top5: 0.4316 loss_action_cls: 0.0461 2022/12/03 13:04:32 - mmengine - INFO - Epoch(train) [8][1200/4451] lr: 2.6095e-02 eta: 1:07:50 time: 0.3343 data_time: 0.0141 memory: 8510 grad_norm: 0.1713 loss: 0.0381 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8444 recall@top3: 0.9667 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0381 2022/12/03 13:04:39 - mmengine - INFO - Epoch(train) [8][1220/4451] lr: 2.6018e-02 eta: 1:07:43 time: 0.3330 data_time: 0.0164 memory: 8510 grad_norm: 0.1725 loss: 0.0421 recall@thr=0.5: 0.7614 prec@thr=0.5: 0.7432 recall@top3: 0.7992 prec@top3: 0.7121 recall@top5: 0.9091 prec@top5: 0.4909 loss_action_cls: 0.0421 2022/12/03 13:04:46 - mmengine - INFO - Epoch(train) [8][1240/4451] lr: 2.5940e-02 eta: 1:07:36 time: 0.3357 data_time: 0.0111 memory: 8510 grad_norm: 0.1645 loss: 0.0405 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7193 recall@top3: 0.8421 prec@top3: 0.5263 recall@top5: 0.8421 prec@top5: 0.3158 loss_action_cls: 0.0405 2022/12/03 13:04:53 - mmengine - INFO - Epoch(train) [8][1260/4451] lr: 2.5863e-02 eta: 1:07:30 time: 0.3350 data_time: 0.0149 memory: 8510 grad_norm: 0.1674 loss: 0.0417 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.6556 recall@top3: 0.7667 prec@top3: 0.5111 recall@top5: 1.0000 prec@top5: 0.3733 loss_action_cls: 0.0417 2022/12/03 13:04:59 - mmengine - INFO - Epoch(train) [8][1280/4451] lr: 2.5786e-02 eta: 1:07:23 time: 0.3357 data_time: 0.0135 memory: 8510 grad_norm: 0.1666 loss: 0.0379 recall@thr=0.5: 0.6542 prec@thr=0.5: 0.6583 recall@top3: 0.8042 prec@top3: 0.6833 recall@top5: 0.9250 prec@top5: 0.4900 loss_action_cls: 0.0379 2022/12/03 13:05:06 - mmengine - INFO - Epoch(train) [8][1300/4451] lr: 2.5709e-02 eta: 1:07:16 time: 0.3338 data_time: 0.0124 memory: 8510 grad_norm: 0.1744 loss: 0.0403 recall@thr=0.5: 0.6605 prec@thr=0.5: 0.7346 recall@top3: 0.7407 prec@top3: 0.5556 recall@top5: 0.8765 prec@top5: 0.3926 loss_action_cls: 0.0403 2022/12/03 13:05:13 - mmengine - INFO - Epoch(train) [8][1320/4451] lr: 2.5632e-02 eta: 1:07:10 time: 0.3343 data_time: 0.0126 memory: 8510 grad_norm: 0.1720 loss: 0.0409 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.7917 recall@top3: 0.8631 prec@top3: 0.5952 recall@top5: 0.9464 prec@top5: 0.3929 loss_action_cls: 0.0409 2022/12/03 13:05:19 - mmengine - INFO - Epoch(train) [8][1340/4451] lr: 2.5555e-02 eta: 1:07:03 time: 0.3349 data_time: 0.0129 memory: 8510 grad_norm: 0.1713 loss: 0.0359 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8254 recall@top3: 0.8413 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.4762 loss_action_cls: 0.0359 2022/12/03 13:05:26 - mmengine - INFO - Epoch(train) [8][1360/4451] lr: 2.5478e-02 eta: 1:06:56 time: 0.3351 data_time: 0.0119 memory: 8510 grad_norm: 0.1706 loss: 0.0376 recall@thr=0.5: 0.4127 prec@thr=0.5: 0.5238 recall@top3: 0.7778 prec@top3: 0.5397 recall@top5: 0.9683 prec@top5: 0.3905 loss_action_cls: 0.0376 2022/12/03 13:05:33 - mmengine - INFO - Epoch(train) [8][1380/4451] lr: 2.5401e-02 eta: 1:06:49 time: 0.3343 data_time: 0.0120 memory: 8510 grad_norm: 0.1688 loss: 0.0413 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6889 recall@top3: 0.8667 prec@top3: 0.4000 recall@top5: 1.0000 prec@top5: 0.2933 loss_action_cls: 0.0413 2022/12/03 13:05:39 - mmengine - INFO - Epoch(train) [8][1400/4451] lr: 2.5324e-02 eta: 1:06:43 time: 0.3355 data_time: 0.0134 memory: 8510 grad_norm: 0.1721 loss: 0.0375 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8561 recall@top3: 0.8561 prec@top3: 0.7121 recall@top5: 0.9242 prec@top5: 0.4727 loss_action_cls: 0.0375 2022/12/03 13:05:46 - mmengine - INFO - Epoch(train) [8][1420/4451] lr: 2.5247e-02 eta: 1:06:36 time: 0.3338 data_time: 0.0117 memory: 8510 grad_norm: 0.1637 loss: 0.0403 recall@thr=0.5: 0.7579 prec@thr=0.5: 0.6984 recall@top3: 0.9444 prec@top3: 0.5873 recall@top5: 0.9563 prec@top5: 0.3619 loss_action_cls: 0.0403 2022/12/03 13:05:53 - mmengine - INFO - Epoch(train) [8][1440/4451] lr: 2.5171e-02 eta: 1:06:29 time: 0.3362 data_time: 0.0130 memory: 8510 grad_norm: 0.1784 loss: 0.0432 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.6449 recall@top3: 0.8949 prec@top3: 0.5507 recall@top5: 0.9710 prec@top5: 0.3652 loss_action_cls: 0.0432 2022/12/03 13:05:59 - mmengine - INFO - Epoch(train) [8][1460/4451] lr: 2.5094e-02 eta: 1:06:23 time: 0.3325 data_time: 0.0112 memory: 8510 grad_norm: 0.1724 loss: 0.0399 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8148 recall@top3: 0.9444 prec@top3: 0.5741 recall@top5: 0.9722 prec@top5: 0.3556 loss_action_cls: 0.0399 2022/12/03 13:06:06 - mmengine - INFO - Epoch(train) [8][1480/4451] lr: 2.5018e-02 eta: 1:06:16 time: 0.3341 data_time: 0.0128 memory: 8510 grad_norm: 0.1759 loss: 0.0419 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6574 recall@top3: 0.8194 prec@top3: 0.6111 recall@top5: 0.8981 prec@top5: 0.4111 loss_action_cls: 0.0419 2022/12/03 13:06:13 - mmengine - INFO - Epoch(train) [8][1500/4451] lr: 2.4941e-02 eta: 1:06:09 time: 0.3355 data_time: 0.0144 memory: 8510 grad_norm: 0.1734 loss: 0.0454 recall@thr=0.5: 0.5735 prec@thr=0.5: 0.8824 recall@top3: 0.9020 prec@top3: 0.7255 recall@top5: 0.9608 prec@top5: 0.4706 loss_action_cls: 0.0454 2022/12/03 13:06:20 - mmengine - INFO - Epoch(train) [8][1520/4451] lr: 2.4865e-02 eta: 1:06:03 time: 0.3327 data_time: 0.0125 memory: 8510 grad_norm: 0.1801 loss: 0.0358 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.6313 recall@top3: 0.8131 prec@top3: 0.5960 recall@top5: 0.9015 prec@top5: 0.4000 loss_action_cls: 0.0358 2022/12/03 13:06:26 - mmengine - INFO - Epoch(train) [8][1540/4451] lr: 2.4789e-02 eta: 1:05:56 time: 0.3353 data_time: 0.0116 memory: 8510 grad_norm: 0.1695 loss: 0.0353 recall@thr=0.5: 0.6703 prec@thr=0.5: 0.7065 recall@top3: 0.8297 prec@top3: 0.7246 recall@top5: 0.9529 prec@top5: 0.5043 loss_action_cls: 0.0353 2022/12/03 13:06:33 - mmengine - INFO - Epoch(train) [8][1560/4451] lr: 2.4713e-02 eta: 1:05:49 time: 0.3335 data_time: 0.0136 memory: 8510 grad_norm: 0.1726 loss: 0.0381 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.7101 recall@top3: 0.8623 prec@top3: 0.7101 recall@top5: 0.9565 prec@top5: 0.4870 loss_action_cls: 0.0381 2022/12/03 13:06:40 - mmengine - INFO - Epoch(train) [8][1580/4451] lr: 2.4637e-02 eta: 1:05:42 time: 0.3350 data_time: 0.0120 memory: 8510 grad_norm: 0.1776 loss: 0.0383 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.9487 recall@top3: 0.9615 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0383 2022/12/03 13:06:46 - mmengine - INFO - Epoch(train) [8][1600/4451] lr: 2.4561e-02 eta: 1:05:36 time: 0.3319 data_time: 0.0139 memory: 8510 grad_norm: 0.1731 loss: 0.0430 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7340 recall@top3: 0.6731 prec@top3: 0.5641 recall@top5: 0.8526 prec@top5: 0.4462 loss_action_cls: 0.0430 2022/12/03 13:06:53 - mmengine - INFO - Epoch(train) [8][1620/4451] lr: 2.4485e-02 eta: 1:05:29 time: 0.3341 data_time: 0.0129 memory: 8510 grad_norm: 0.1739 loss: 0.0447 recall@thr=0.5: 0.6933 prec@thr=0.5: 0.7400 recall@top3: 0.8333 prec@top3: 0.6533 recall@top5: 0.9533 prec@top5: 0.4480 loss_action_cls: 0.0447 2022/12/03 13:07:00 - mmengine - INFO - Epoch(train) [8][1640/4451] lr: 2.4409e-02 eta: 1:05:22 time: 0.3357 data_time: 0.0130 memory: 8510 grad_norm: 0.1778 loss: 0.0458 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6667 recall@top3: 0.7468 prec@top3: 0.6282 recall@top5: 0.8429 prec@top5: 0.4308 loss_action_cls: 0.0458 2022/12/03 13:07:06 - mmengine - INFO - Epoch(train) [8][1660/4451] lr: 2.4333e-02 eta: 1:05:16 time: 0.3352 data_time: 0.0133 memory: 8510 grad_norm: 0.1743 loss: 0.0394 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.6825 recall@top3: 0.6905 prec@top3: 0.5873 recall@top5: 0.9127 prec@top5: 0.4762 loss_action_cls: 0.0394 2022/12/03 13:07:13 - mmengine - INFO - Epoch(train) [8][1680/4451] lr: 2.4258e-02 eta: 1:05:09 time: 0.3342 data_time: 0.0116 memory: 8510 grad_norm: 0.1713 loss: 0.0403 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6250 recall@top3: 0.7000 prec@top3: 0.4667 recall@top5: 0.9333 prec@top5: 0.3600 loss_action_cls: 0.0403 2022/12/03 13:07:20 - mmengine - INFO - Epoch(train) [8][1700/4451] lr: 2.4182e-02 eta: 1:05:02 time: 0.3344 data_time: 0.0120 memory: 8510 grad_norm: 0.1675 loss: 0.0398 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.6250 recall@top3: 0.8292 prec@top3: 0.6250 recall@top5: 0.9010 prec@top5: 0.4375 loss_action_cls: 0.0398 2022/12/03 13:07:26 - mmengine - INFO - Epoch(train) [8][1720/4451] lr: 2.4106e-02 eta: 1:04:56 time: 0.3361 data_time: 0.0124 memory: 8510 grad_norm: 0.1730 loss: 0.0413 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6458 recall@top3: 0.8125 prec@top3: 0.6528 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0413 2022/12/03 13:07:33 - mmengine - INFO - Epoch(train) [8][1740/4451] lr: 2.4031e-02 eta: 1:04:49 time: 0.3342 data_time: 0.0138 memory: 8510 grad_norm: 0.1742 loss: 0.0426 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6970 recall@top3: 0.8197 prec@top3: 0.6818 recall@top5: 0.9364 prec@top5: 0.4909 loss_action_cls: 0.0426 2022/12/03 13:07:40 - mmengine - INFO - Epoch(train) [8][1760/4451] lr: 2.3956e-02 eta: 1:04:42 time: 0.3348 data_time: 0.0118 memory: 8510 grad_norm: 0.1715 loss: 0.0384 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.4643 recall@top3: 0.5714 prec@top3: 0.3810 recall@top5: 0.7500 prec@top5: 0.3000 loss_action_cls: 0.0384 2022/12/03 13:07:47 - mmengine - INFO - Epoch(train) [8][1780/4451] lr: 2.3880e-02 eta: 1:04:35 time: 0.3340 data_time: 0.0132 memory: 8510 grad_norm: 0.1702 loss: 0.0431 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7500 recall@top3: 0.7963 prec@top3: 0.6111 recall@top5: 0.8981 prec@top5: 0.4333 loss_action_cls: 0.0431 2022/12/03 13:07:53 - mmengine - INFO - Epoch(train) [8][1800/4451] lr: 2.3805e-02 eta: 1:04:29 time: 0.3350 data_time: 0.0121 memory: 8510 grad_norm: 0.1688 loss: 0.0400 recall@thr=0.5: 0.7346 prec@thr=0.5: 0.6975 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9691 prec@top5: 0.4000 loss_action_cls: 0.0400 2022/12/03 13:08:00 - mmengine - INFO - Epoch(train) [8][1820/4451] lr: 2.3730e-02 eta: 1:04:22 time: 0.3337 data_time: 0.0129 memory: 8510 grad_norm: 0.1713 loss: 0.0382 recall@thr=0.5: 0.4633 prec@thr=0.5: 0.5733 recall@top3: 0.7000 prec@top3: 0.6267 recall@top5: 0.8400 prec@top5: 0.4640 loss_action_cls: 0.0382 2022/12/03 13:08:07 - mmengine - INFO - Epoch(train) [8][1840/4451] lr: 2.3655e-02 eta: 1:04:15 time: 0.3350 data_time: 0.0151 memory: 8510 grad_norm: 0.1755 loss: 0.0431 recall@thr=0.5: 0.6353 prec@thr=0.5: 0.7255 recall@top3: 0.7676 prec@top3: 0.6667 recall@top5: 0.8549 prec@top5: 0.4706 loss_action_cls: 0.0431 2022/12/03 13:08:08 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:08:13 - mmengine - INFO - Epoch(train) [8][1860/4451] lr: 2.3580e-02 eta: 1:04:09 time: 0.3347 data_time: 0.0158 memory: 8510 grad_norm: 0.1720 loss: 0.0379 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7963 recall@top3: 0.8426 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4778 loss_action_cls: 0.0379 2022/12/03 13:08:20 - mmengine - INFO - Epoch(train) [8][1880/4451] lr: 2.3505e-02 eta: 1:04:02 time: 0.3337 data_time: 0.0129 memory: 8510 grad_norm: 0.1700 loss: 0.0423 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8063 recall@top3: 0.7540 prec@top3: 0.6825 recall@top5: 0.9048 prec@top5: 0.5238 loss_action_cls: 0.0423 2022/12/03 13:08:27 - mmengine - INFO - Epoch(train) [8][1900/4451] lr: 2.3430e-02 eta: 1:03:55 time: 0.3336 data_time: 0.0140 memory: 8510 grad_norm: 0.1739 loss: 0.0371 recall@thr=0.5: 0.7283 prec@thr=0.5: 0.8261 recall@top3: 0.8587 prec@top3: 0.6812 recall@top5: 0.9167 prec@top5: 0.4435 loss_action_cls: 0.0371 2022/12/03 13:08:33 - mmengine - INFO - Epoch(train) [8][1920/4451] lr: 2.3356e-02 eta: 1:03:49 time: 0.3346 data_time: 0.0113 memory: 8510 grad_norm: 0.1732 loss: 0.0386 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.6111 recall@top3: 0.7222 prec@top3: 0.6222 recall@top5: 0.8778 prec@top5: 0.4400 loss_action_cls: 0.0386 2022/12/03 13:08:40 - mmengine - INFO - Epoch(train) [8][1940/4451] lr: 2.3281e-02 eta: 1:03:42 time: 0.3345 data_time: 0.0134 memory: 8510 grad_norm: 0.1818 loss: 0.0403 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8917 recall@top3: 0.8385 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0403 2022/12/03 13:08:47 - mmengine - INFO - Epoch(train) [8][1960/4451] lr: 2.3207e-02 eta: 1:03:35 time: 0.3332 data_time: 0.0133 memory: 8510 grad_norm: 0.1741 loss: 0.0366 recall@thr=0.5: 0.6794 prec@thr=0.5: 0.7381 recall@top3: 0.8063 prec@top3: 0.5397 recall@top5: 0.9254 prec@top5: 0.3810 loss_action_cls: 0.0366 2022/12/03 13:08:53 - mmengine - INFO - Epoch(train) [8][1980/4451] lr: 2.3132e-02 eta: 1:03:28 time: 0.3349 data_time: 0.0114 memory: 8510 grad_norm: 0.1628 loss: 0.0378 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8676 recall@top3: 0.8941 prec@top3: 0.7255 recall@top5: 0.9333 prec@top5: 0.4588 loss_action_cls: 0.0378 2022/12/03 13:09:00 - mmengine - INFO - Epoch(train) [8][2000/4451] lr: 2.3058e-02 eta: 1:03:22 time: 0.3359 data_time: 0.0140 memory: 8510 grad_norm: 0.1727 loss: 0.0382 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.7500 recall@top3: 0.8698 prec@top3: 0.6667 recall@top5: 0.9219 prec@top5: 0.4375 loss_action_cls: 0.0382 2022/12/03 13:09:07 - mmengine - INFO - Epoch(train) [8][2020/4451] lr: 2.2983e-02 eta: 1:03:15 time: 0.3344 data_time: 0.0123 memory: 8510 grad_norm: 0.1751 loss: 0.0428 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.7238 recall@top3: 0.8095 prec@top3: 0.6349 recall@top5: 0.8968 prec@top5: 0.4286 loss_action_cls: 0.0428 2022/12/03 13:09:13 - mmengine - INFO - Epoch(train) [8][2040/4451] lr: 2.2909e-02 eta: 1:03:08 time: 0.3347 data_time: 0.0123 memory: 8510 grad_norm: 0.1693 loss: 0.0379 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8519 recall@top3: 0.8765 prec@top3: 0.7284 recall@top5: 0.9136 prec@top5: 0.4593 loss_action_cls: 0.0379 2022/12/03 13:09:20 - mmengine - INFO - Epoch(train) [8][2060/4451] lr: 2.2835e-02 eta: 1:03:02 time: 0.3331 data_time: 0.0129 memory: 8510 grad_norm: 0.1708 loss: 0.0393 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7639 recall@top3: 0.7604 prec@top3: 0.6806 recall@top5: 0.8889 prec@top5: 0.5000 loss_action_cls: 0.0393 2022/12/03 13:09:27 - mmengine - INFO - Epoch(train) [8][2080/4451] lr: 2.2761e-02 eta: 1:02:55 time: 0.3342 data_time: 0.0127 memory: 8510 grad_norm: 0.1682 loss: 0.0383 recall@thr=0.5: 0.7440 prec@thr=0.5: 0.8067 recall@top3: 0.7847 prec@top3: 0.6800 recall@top5: 0.8940 prec@top5: 0.4800 loss_action_cls: 0.0383 2022/12/03 13:09:33 - mmengine - INFO - Epoch(train) [8][2100/4451] lr: 2.2687e-02 eta: 1:02:48 time: 0.3321 data_time: 0.0146 memory: 8510 grad_norm: 0.1674 loss: 0.0394 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.9286 recall@top3: 0.7917 prec@top3: 0.8095 recall@top5: 0.9286 prec@top5: 0.5857 loss_action_cls: 0.0394 2022/12/03 13:09:40 - mmengine - INFO - Epoch(train) [8][2120/4451] lr: 2.2613e-02 eta: 1:02:41 time: 0.3331 data_time: 0.0139 memory: 8510 grad_norm: 0.1701 loss: 0.0407 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7982 recall@top3: 0.8509 prec@top3: 0.6842 recall@top5: 0.9649 prec@top5: 0.4737 loss_action_cls: 0.0407 2022/12/03 13:09:47 - mmengine - INFO - Epoch(train) [8][2140/4451] lr: 2.2540e-02 eta: 1:02:35 time: 0.3360 data_time: 0.0113 memory: 8510 grad_norm: 0.1772 loss: 0.0401 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8642 recall@top3: 0.7914 prec@top3: 0.7654 recall@top5: 0.9228 prec@top5: 0.5556 loss_action_cls: 0.0401 2022/12/03 13:09:54 - mmengine - INFO - Epoch(train) [8][2160/4451] lr: 2.2466e-02 eta: 1:02:28 time: 0.3337 data_time: 0.0152 memory: 8510 grad_norm: 0.1730 loss: 0.0418 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6806 recall@top3: 0.6944 prec@top3: 0.5000 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0418 2022/12/03 13:10:00 - mmengine - INFO - Epoch(train) [8][2180/4451] lr: 2.2392e-02 eta: 1:02:21 time: 0.3355 data_time: 0.0112 memory: 8510 grad_norm: 0.1692 loss: 0.0392 recall@thr=0.5: 0.4767 prec@thr=0.5: 0.5600 recall@top3: 0.8067 prec@top3: 0.6000 recall@top5: 0.9067 prec@top5: 0.3920 loss_action_cls: 0.0392 2022/12/03 13:10:07 - mmengine - INFO - Epoch(train) [8][2200/4451] lr: 2.2319e-02 eta: 1:02:15 time: 0.3346 data_time: 0.0147 memory: 8510 grad_norm: 0.1740 loss: 0.0432 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.7267 recall@top3: 0.8000 prec@top3: 0.6167 recall@top5: 0.9250 prec@top5: 0.4400 loss_action_cls: 0.0432 2022/12/03 13:10:14 - mmengine - INFO - Epoch(train) [8][2220/4451] lr: 2.2245e-02 eta: 1:02:08 time: 0.3351 data_time: 0.0114 memory: 8510 grad_norm: 0.1793 loss: 0.0361 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8403 recall@top3: 0.8403 prec@top3: 0.8611 recall@top5: 0.9722 prec@top5: 0.6167 loss_action_cls: 0.0361 2022/12/03 13:10:20 - mmengine - INFO - Epoch(train) [8][2240/4451] lr: 2.2172e-02 eta: 1:02:01 time: 0.3347 data_time: 0.0114 memory: 8510 grad_norm: 0.1799 loss: 0.0423 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7061 recall@top3: 0.8158 prec@top3: 0.5965 recall@top5: 0.8947 prec@top5: 0.4105 loss_action_cls: 0.0423 2022/12/03 13:10:27 - mmengine - INFO - Epoch(train) [8][2260/4451] lr: 2.2099e-02 eta: 1:01:55 time: 0.3326 data_time: 0.0141 memory: 8510 grad_norm: 0.1726 loss: 0.0435 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.6667 recall@top3: 0.8509 prec@top3: 0.5789 recall@top5: 0.8860 prec@top5: 0.3684 loss_action_cls: 0.0435 2022/12/03 13:10:34 - mmengine - INFO - Epoch(train) [8][2280/4451] lr: 2.2026e-02 eta: 1:01:48 time: 0.3328 data_time: 0.0154 memory: 8510 grad_norm: 0.1692 loss: 0.0358 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.7870 recall@top3: 0.7593 prec@top3: 0.6296 recall@top5: 0.8796 prec@top5: 0.4444 loss_action_cls: 0.0358 2022/12/03 13:10:40 - mmengine - INFO - Epoch(train) [8][2300/4451] lr: 2.1952e-02 eta: 1:01:41 time: 0.3332 data_time: 0.0131 memory: 8510 grad_norm: 0.1737 loss: 0.0414 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.7273 recall@top3: 0.8258 prec@top3: 0.5152 recall@top5: 0.8485 prec@top5: 0.3182 loss_action_cls: 0.0414 2022/12/03 13:10:47 - mmengine - INFO - Epoch(train) [8][2320/4451] lr: 2.1879e-02 eta: 1:01:34 time: 0.3349 data_time: 0.0125 memory: 8510 grad_norm: 0.1756 loss: 0.0421 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.5644 recall@top3: 0.6818 prec@top3: 0.4848 recall@top5: 0.7955 prec@top5: 0.3364 loss_action_cls: 0.0421 2022/12/03 13:10:54 - mmengine - INFO - Epoch(train) [8][2340/4451] lr: 2.1807e-02 eta: 1:01:28 time: 0.3339 data_time: 0.0140 memory: 8510 grad_norm: 0.1805 loss: 0.0407 recall@thr=0.5: 0.6319 prec@thr=0.5: 0.7778 recall@top3: 0.8056 prec@top3: 0.5833 recall@top5: 0.9653 prec@top5: 0.4083 loss_action_cls: 0.0407 2022/12/03 13:11:00 - mmengine - INFO - Epoch(train) [8][2360/4451] lr: 2.1734e-02 eta: 1:01:21 time: 0.3347 data_time: 0.0141 memory: 8510 grad_norm: 0.1727 loss: 0.0395 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.6852 recall@top3: 0.9444 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0395 2022/12/03 13:11:07 - mmengine - INFO - Epoch(train) [8][2380/4451] lr: 2.1661e-02 eta: 1:01:14 time: 0.3320 data_time: 0.0133 memory: 8510 grad_norm: 0.1730 loss: 0.0392 recall@thr=0.5: 0.5661 prec@thr=0.5: 0.5264 recall@top3: 0.7701 prec@top3: 0.5862 recall@top5: 0.9310 prec@top5: 0.4207 loss_action_cls: 0.0392 2022/12/03 13:11:14 - mmengine - INFO - Epoch(train) [8][2400/4451] lr: 2.1588e-02 eta: 1:01:08 time: 0.3342 data_time: 0.0116 memory: 8510 grad_norm: 0.1678 loss: 0.0400 recall@thr=0.5: 0.7033 prec@thr=0.5: 0.7947 recall@top3: 0.7507 prec@top3: 0.8267 recall@top5: 0.9720 prec@top5: 0.6240 loss_action_cls: 0.0400 2022/12/03 13:11:20 - mmengine - INFO - Epoch(train) [8][2420/4451] lr: 2.1516e-02 eta: 1:01:01 time: 0.3352 data_time: 0.0117 memory: 8510 grad_norm: 0.1750 loss: 0.0375 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.4167 recall@top5: 0.9167 prec@top5: 0.2833 loss_action_cls: 0.0375 2022/12/03 13:11:27 - mmengine - INFO - Epoch(train) [8][2440/4451] lr: 2.1443e-02 eta: 1:00:54 time: 0.3351 data_time: 0.0119 memory: 8510 grad_norm: 0.1714 loss: 0.0438 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.6078 recall@top3: 0.6961 prec@top3: 0.4510 recall@top5: 0.8039 prec@top5: 0.3059 loss_action_cls: 0.0438 2022/12/03 13:11:34 - mmengine - INFO - Epoch(train) [8][2460/4451] lr: 2.1371e-02 eta: 1:00:48 time: 0.3336 data_time: 0.0122 memory: 8510 grad_norm: 0.1670 loss: 0.0368 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7250 recall@top3: 0.7667 prec@top3: 0.6333 recall@top5: 0.8833 prec@top5: 0.4600 loss_action_cls: 0.0368 2022/12/03 13:11:40 - mmengine - INFO - Epoch(train) [8][2480/4451] lr: 2.1299e-02 eta: 1:00:41 time: 0.3338 data_time: 0.0134 memory: 8510 grad_norm: 0.1738 loss: 0.0391 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8704 recall@top3: 0.9491 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0391 2022/12/03 13:11:47 - mmengine - INFO - Epoch(train) [8][2500/4451] lr: 2.1226e-02 eta: 1:00:34 time: 0.3356 data_time: 0.0122 memory: 8510 grad_norm: 0.1762 loss: 0.0425 recall@thr=0.5: 0.6873 prec@thr=0.5: 0.7200 recall@top3: 0.7487 prec@top3: 0.7067 recall@top5: 0.8853 prec@top5: 0.5200 loss_action_cls: 0.0425 2022/12/03 13:11:54 - mmengine - INFO - Epoch(train) [8][2520/4451] lr: 2.1154e-02 eta: 1:00:27 time: 0.3346 data_time: 0.0124 memory: 8510 grad_norm: 0.1772 loss: 0.0404 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6429 recall@top3: 0.8333 prec@top3: 0.5079 recall@top5: 0.9048 prec@top5: 0.3333 loss_action_cls: 0.0404 2022/12/03 13:12:01 - mmengine - INFO - Epoch(train) [8][2540/4451] lr: 2.1082e-02 eta: 1:00:21 time: 0.3339 data_time: 0.0148 memory: 8510 grad_norm: 0.1686 loss: 0.0406 recall@thr=0.5: 0.7587 prec@thr=0.5: 0.8500 recall@top3: 0.8147 prec@top3: 0.7467 recall@top5: 0.9040 prec@top5: 0.5120 loss_action_cls: 0.0406 2022/12/03 13:12:07 - mmengine - INFO - Epoch(train) [8][2560/4451] lr: 2.1010e-02 eta: 1:00:14 time: 0.3351 data_time: 0.0128 memory: 8510 grad_norm: 0.1738 loss: 0.0432 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7391 recall@top3: 0.8188 prec@top3: 0.6667 recall@top5: 0.9203 prec@top5: 0.4522 loss_action_cls: 0.0432 2022/12/03 13:12:14 - mmengine - INFO - Epoch(train) [8][2580/4451] lr: 2.0939e-02 eta: 1:00:07 time: 0.3351 data_time: 0.0169 memory: 8510 grad_norm: 0.1683 loss: 0.0410 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.6354 recall@top3: 0.6979 prec@top3: 0.3750 recall@top5: 0.8073 prec@top5: 0.2875 loss_action_cls: 0.0410 2022/12/03 13:12:21 - mmengine - INFO - Epoch(train) [8][2600/4451] lr: 2.0867e-02 eta: 1:00:01 time: 0.3331 data_time: 0.0127 memory: 8510 grad_norm: 0.1743 loss: 0.0424 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6884 recall@top3: 0.7319 prec@top3: 0.5362 recall@top5: 0.9130 prec@top5: 0.4087 loss_action_cls: 0.0424 2022/12/03 13:12:27 - mmengine - INFO - Epoch(train) [8][2620/4451] lr: 2.0795e-02 eta: 0:59:54 time: 0.3336 data_time: 0.0113 memory: 8510 grad_norm: 0.1740 loss: 0.0366 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7976 recall@top3: 0.8214 prec@top3: 0.5000 recall@top5: 0.9048 prec@top5: 0.3429 loss_action_cls: 0.0366 2022/12/03 13:12:34 - mmengine - INFO - Epoch(train) [8][2640/4451] lr: 2.0724e-02 eta: 0:59:47 time: 0.3328 data_time: 0.0145 memory: 8510 grad_norm: 0.1708 loss: 0.0369 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.7436 recall@top3: 0.8846 prec@top3: 0.6154 recall@top5: 0.9615 prec@top5: 0.4154 loss_action_cls: 0.0369 2022/12/03 13:12:41 - mmengine - INFO - Epoch(train) [8][2660/4451] lr: 2.0652e-02 eta: 0:59:41 time: 0.3360 data_time: 0.0195 memory: 8510 grad_norm: 0.1815 loss: 0.0434 recall@thr=0.5: 0.4531 prec@thr=0.5: 0.4687 recall@top3: 0.7552 prec@top3: 0.5417 recall@top5: 0.8698 prec@top5: 0.4000 loss_action_cls: 0.0434 2022/12/03 13:12:47 - mmengine - INFO - Epoch(train) [8][2680/4451] lr: 2.0581e-02 eta: 0:59:34 time: 0.3325 data_time: 0.0119 memory: 8510 grad_norm: 0.1720 loss: 0.0389 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7800 recall@top3: 0.8200 prec@top3: 0.6800 recall@top5: 0.9600 prec@top5: 0.4960 loss_action_cls: 0.0389 2022/12/03 13:12:54 - mmengine - INFO - Epoch(train) [8][2700/4451] lr: 2.0509e-02 eta: 0:59:27 time: 0.3345 data_time: 0.0122 memory: 8510 grad_norm: 0.1693 loss: 0.0397 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.6310 recall@top3: 0.8333 prec@top3: 0.5476 recall@top5: 0.8571 prec@top5: 0.3429 loss_action_cls: 0.0397 2022/12/03 13:13:01 - mmengine - INFO - Epoch(train) [8][2720/4451] lr: 2.0438e-02 eta: 0:59:20 time: 0.3348 data_time: 0.0152 memory: 8510 grad_norm: 0.1732 loss: 0.0423 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.9318 recall@top3: 0.8939 prec@top3: 0.7879 recall@top5: 0.9167 prec@top5: 0.4818 loss_action_cls: 0.0423 2022/12/03 13:13:07 - mmengine - INFO - Epoch(train) [8][2740/4451] lr: 2.0367e-02 eta: 0:59:14 time: 0.3326 data_time: 0.0116 memory: 8510 grad_norm: 0.1722 loss: 0.0394 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8507 recall@top3: 0.8854 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5083 loss_action_cls: 0.0394 2022/12/03 13:13:14 - mmengine - INFO - Epoch(train) [8][2760/4451] lr: 2.0296e-02 eta: 0:59:07 time: 0.3352 data_time: 0.0147 memory: 8510 grad_norm: 0.1814 loss: 0.0391 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.8333 recall@top3: 0.8214 prec@top3: 0.6825 recall@top5: 0.9762 prec@top5: 0.5048 loss_action_cls: 0.0391 2022/12/03 13:13:21 - mmengine - INFO - Epoch(train) [8][2780/4451] lr: 2.0225e-02 eta: 0:59:00 time: 0.3337 data_time: 0.0142 memory: 8510 grad_norm: 0.1693 loss: 0.0436 recall@thr=0.5: 0.4621 prec@thr=0.5: 0.5833 recall@top3: 0.7500 prec@top3: 0.5606 recall@top5: 0.8939 prec@top5: 0.4000 loss_action_cls: 0.0436 2022/12/03 13:13:27 - mmengine - INFO - Epoch(train) [8][2800/4451] lr: 2.0154e-02 eta: 0:58:54 time: 0.3355 data_time: 0.0122 memory: 8510 grad_norm: 0.1684 loss: 0.0390 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.5379 recall@top3: 0.7576 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4455 loss_action_cls: 0.0390 2022/12/03 13:13:34 - mmengine - INFO - Epoch(train) [8][2820/4451] lr: 2.0084e-02 eta: 0:58:47 time: 0.3354 data_time: 0.0117 memory: 8510 grad_norm: 0.1688 loss: 0.0381 recall@thr=0.5: 0.7210 prec@thr=0.5: 0.7775 recall@top3: 0.8043 prec@top3: 0.7101 recall@top5: 0.9022 prec@top5: 0.4957 loss_action_cls: 0.0381 2022/12/03 13:13:41 - mmengine - INFO - Epoch(train) [8][2840/4451] lr: 2.0013e-02 eta: 0:58:40 time: 0.3343 data_time: 0.0146 memory: 8510 grad_norm: 0.1768 loss: 0.0424 recall@thr=0.5: 0.4407 prec@thr=0.5: 0.5593 recall@top3: 0.7531 prec@top3: 0.7037 recall@top5: 0.8667 prec@top5: 0.4963 loss_action_cls: 0.0424 2022/12/03 13:13:42 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:13:48 - mmengine - INFO - Epoch(train) [8][2860/4451] lr: 1.9942e-02 eta: 0:58:34 time: 0.3346 data_time: 0.0152 memory: 8510 grad_norm: 0.1723 loss: 0.0385 recall@thr=0.5: 0.4944 prec@thr=0.5: 0.8333 recall@top3: 0.8833 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0385 2022/12/03 13:13:54 - mmengine - INFO - Epoch(train) [8][2880/4451] lr: 1.9872e-02 eta: 0:58:27 time: 0.3333 data_time: 0.0127 memory: 8510 grad_norm: 0.1767 loss: 0.0447 recall@thr=0.5: 0.6074 prec@thr=0.5: 0.7685 recall@top3: 0.7241 prec@top3: 0.7222 recall@top5: 0.9259 prec@top5: 0.5667 loss_action_cls: 0.0447 2022/12/03 13:14:01 - mmengine - INFO - Epoch(train) [8][2900/4451] lr: 1.9802e-02 eta: 0:58:20 time: 0.3343 data_time: 0.0126 memory: 8510 grad_norm: 0.1731 loss: 0.0416 recall@thr=0.5: 0.3782 prec@thr=0.5: 0.5000 recall@top3: 0.6538 prec@top3: 0.4615 recall@top5: 0.7436 prec@top5: 0.3385 loss_action_cls: 0.0416 2022/12/03 13:14:08 - mmengine - INFO - Epoch(train) [8][2920/4451] lr: 1.9731e-02 eta: 0:58:13 time: 0.3350 data_time: 0.0159 memory: 8510 grad_norm: 0.1730 loss: 0.0404 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7346 recall@top3: 0.8704 prec@top3: 0.6296 recall@top5: 0.9753 prec@top5: 0.4222 loss_action_cls: 0.0404 2022/12/03 13:14:14 - mmengine - INFO - Epoch(train) [8][2940/4451] lr: 1.9661e-02 eta: 0:58:07 time: 0.3325 data_time: 0.0145 memory: 8510 grad_norm: 0.1724 loss: 0.0393 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6833 recall@top3: 0.9000 prec@top3: 0.6167 recall@top5: 0.9667 prec@top5: 0.4100 loss_action_cls: 0.0393 2022/12/03 13:14:21 - mmengine - INFO - Epoch(train) [8][2960/4451] lr: 1.9591e-02 eta: 0:58:00 time: 0.3345 data_time: 0.0123 memory: 8510 grad_norm: 0.1757 loss: 0.0410 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8333 recall@top3: 0.8444 prec@top3: 0.6444 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0410 2022/12/03 13:14:28 - mmengine - INFO - Epoch(train) [8][2980/4451] lr: 1.9521e-02 eta: 0:57:53 time: 0.3341 data_time: 0.0133 memory: 8510 grad_norm: 0.1736 loss: 0.0409 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.8986 recall@top3: 0.9565 prec@top3: 0.6087 recall@top5: 0.9783 prec@top5: 0.3739 loss_action_cls: 0.0409 2022/12/03 13:14:34 - mmengine - INFO - Epoch(train) [8][3000/4451] lr: 1.9451e-02 eta: 0:57:47 time: 0.3326 data_time: 0.0137 memory: 8510 grad_norm: 0.1735 loss: 0.0425 recall@thr=0.5: 0.2262 prec@thr=0.5: 0.3214 recall@top3: 0.7262 prec@top3: 0.4286 recall@top5: 0.7976 prec@top5: 0.2857 loss_action_cls: 0.0425 2022/12/03 13:14:41 - mmengine - INFO - Epoch(train) [8][3020/4451] lr: 1.9381e-02 eta: 0:57:40 time: 0.3337 data_time: 0.0152 memory: 8510 grad_norm: 0.1684 loss: 0.0445 recall@thr=0.5: 0.7472 prec@thr=0.5: 0.7417 recall@top3: 0.9056 prec@top3: 0.7889 recall@top5: 0.9917 prec@top5: 0.5267 loss_action_cls: 0.0445 2022/12/03 13:14:48 - mmengine - INFO - Epoch(train) [8][3040/4451] lr: 1.9312e-02 eta: 0:57:33 time: 0.3345 data_time: 0.0136 memory: 8510 grad_norm: 0.1748 loss: 0.0400 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8194 recall@top3: 0.8715 prec@top3: 0.6389 recall@top5: 0.9236 prec@top5: 0.4167 loss_action_cls: 0.0400 2022/12/03 13:14:54 - mmengine - INFO - Epoch(train) [8][3060/4451] lr: 1.9242e-02 eta: 0:57:26 time: 0.3331 data_time: 0.0132 memory: 8510 grad_norm: 0.1721 loss: 0.0398 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.7722 recall@top3: 0.8178 prec@top3: 0.5778 recall@top5: 0.9378 prec@top5: 0.4200 loss_action_cls: 0.0398 2022/12/03 13:15:01 - mmengine - INFO - Epoch(train) [8][3080/4451] lr: 1.9173e-02 eta: 0:57:20 time: 0.3340 data_time: 0.0125 memory: 8510 grad_norm: 0.1705 loss: 0.0372 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7843 recall@top3: 0.9412 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0372 2022/12/03 13:15:08 - mmengine - INFO - Epoch(train) [8][3100/4451] lr: 1.9103e-02 eta: 0:57:13 time: 0.3364 data_time: 0.0143 memory: 8510 grad_norm: 0.1771 loss: 0.0447 recall@thr=0.5: 0.5423 prec@thr=0.5: 0.6071 recall@top3: 0.8821 prec@top3: 0.7381 recall@top5: 0.9911 prec@top5: 0.5214 loss_action_cls: 0.0447 2022/12/03 13:15:14 - mmengine - INFO - Epoch(train) [8][3120/4451] lr: 1.9034e-02 eta: 0:57:06 time: 0.3340 data_time: 0.0132 memory: 8510 grad_norm: 0.1726 loss: 0.0443 recall@thr=0.5: 0.7883 prec@thr=0.5: 0.8167 recall@top3: 0.8175 prec@top3: 0.8000 recall@top5: 0.9333 prec@top5: 0.5700 loss_action_cls: 0.0443 2022/12/03 13:15:21 - mmengine - INFO - Epoch(train) [8][3140/4451] lr: 1.8965e-02 eta: 0:57:00 time: 0.3364 data_time: 0.0152 memory: 8510 grad_norm: 0.1689 loss: 0.0387 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.8175 recall@top3: 0.8373 prec@top3: 0.6032 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0387 2022/12/03 13:15:28 - mmengine - INFO - Epoch(train) [8][3160/4451] lr: 1.8896e-02 eta: 0:56:53 time: 0.3344 data_time: 0.0122 memory: 8510 grad_norm: 0.1817 loss: 0.0437 recall@thr=0.5: 0.6824 prec@thr=0.5: 0.7059 recall@top3: 0.8500 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.5529 loss_action_cls: 0.0437 2022/12/03 13:15:35 - mmengine - INFO - Epoch(train) [8][3180/4451] lr: 1.8826e-02 eta: 0:56:46 time: 0.3343 data_time: 0.0156 memory: 8510 grad_norm: 0.1720 loss: 0.0411 recall@thr=0.5: 0.3768 prec@thr=0.5: 0.5000 recall@top3: 0.6486 prec@top3: 0.5072 recall@top5: 0.8804 prec@top5: 0.4348 loss_action_cls: 0.0411 2022/12/03 13:15:41 - mmengine - INFO - Epoch(train) [8][3200/4451] lr: 1.8758e-02 eta: 0:56:40 time: 0.3371 data_time: 0.0141 memory: 8510 grad_norm: 0.1739 loss: 0.0407 recall@thr=0.5: 0.3765 prec@thr=0.5: 0.4136 recall@top3: 0.6296 prec@top3: 0.4444 recall@top5: 0.8333 prec@top5: 0.3556 loss_action_cls: 0.0407 2022/12/03 13:15:48 - mmengine - INFO - Epoch(train) [8][3220/4451] lr: 1.8689e-02 eta: 0:56:33 time: 0.3340 data_time: 0.0115 memory: 8510 grad_norm: 0.1786 loss: 0.0422 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.9687 recall@top3: 0.9010 prec@top3: 0.7292 recall@top5: 0.9844 prec@top5: 0.4875 loss_action_cls: 0.0422 2022/12/03 13:15:55 - mmengine - INFO - Epoch(train) [8][3240/4451] lr: 1.8620e-02 eta: 0:56:26 time: 0.3333 data_time: 0.0159 memory: 8510 grad_norm: 0.1779 loss: 0.0394 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7576 recall@top3: 0.9167 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0394 2022/12/03 13:16:01 - mmengine - INFO - Epoch(train) [8][3260/4451] lr: 1.8551e-02 eta: 0:56:19 time: 0.3326 data_time: 0.0148 memory: 8510 grad_norm: 0.1753 loss: 0.0402 recall@thr=0.5: 0.5745 prec@thr=0.5: 0.6863 recall@top3: 0.6784 prec@top3: 0.5294 recall@top5: 0.9020 prec@top5: 0.4588 loss_action_cls: 0.0402 2022/12/03 13:16:08 - mmengine - INFO - Epoch(train) [8][3280/4451] lr: 1.8483e-02 eta: 0:56:13 time: 0.3337 data_time: 0.0138 memory: 8510 grad_norm: 0.1752 loss: 0.0417 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8889 recall@top3: 0.8889 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0417 2022/12/03 13:16:15 - mmengine - INFO - Epoch(train) [8][3300/4451] lr: 1.8414e-02 eta: 0:56:06 time: 0.3350 data_time: 0.0115 memory: 8510 grad_norm: 0.1735 loss: 0.0416 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6861 recall@top3: 0.7870 prec@top3: 0.6852 recall@top5: 0.9352 prec@top5: 0.4778 loss_action_cls: 0.0416 2022/12/03 13:16:21 - mmengine - INFO - Epoch(train) [8][3320/4451] lr: 1.8346e-02 eta: 0:55:59 time: 0.3344 data_time: 0.0130 memory: 8510 grad_norm: 0.1728 loss: 0.0415 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8824 recall@top3: 0.9412 prec@top3: 0.4314 recall@top5: 0.9412 prec@top5: 0.2588 loss_action_cls: 0.0415 2022/12/03 13:16:28 - mmengine - INFO - Epoch(train) [8][3340/4451] lr: 1.8278e-02 eta: 0:55:53 time: 0.3333 data_time: 0.0128 memory: 8510 grad_norm: 0.1802 loss: 0.0385 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8571 recall@top3: 0.8016 prec@top3: 0.7460 recall@top5: 0.9603 prec@top5: 0.5429 loss_action_cls: 0.0385 2022/12/03 13:16:35 - mmengine - INFO - Epoch(train) [8][3360/4451] lr: 1.8210e-02 eta: 0:55:46 time: 0.3331 data_time: 0.0140 memory: 8510 grad_norm: 0.1685 loss: 0.0421 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8780 recall@top3: 0.8482 prec@top3: 0.8452 recall@top5: 0.9464 prec@top5: 0.5786 loss_action_cls: 0.0421 2022/12/03 13:16:41 - mmengine - INFO - Epoch(train) [8][3380/4451] lr: 1.8142e-02 eta: 0:55:39 time: 0.3343 data_time: 0.0120 memory: 8510 grad_norm: 0.1837 loss: 0.0420 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.7632 recall@top3: 0.8070 prec@top3: 0.6667 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0420 2022/12/03 13:16:48 - mmengine - INFO - Epoch(train) [8][3400/4451] lr: 1.8074e-02 eta: 0:55:33 time: 0.3354 data_time: 0.0163 memory: 8510 grad_norm: 0.1708 loss: 0.0388 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.6429 recall@top3: 0.7619 prec@top3: 0.6508 recall@top5: 0.9365 prec@top5: 0.4857 loss_action_cls: 0.0388 2022/12/03 13:16:55 - mmengine - INFO - Epoch(train) [8][3420/4451] lr: 1.8006e-02 eta: 0:55:26 time: 0.3345 data_time: 0.0143 memory: 8510 grad_norm: 0.1710 loss: 0.0472 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.6515 recall@top3: 0.7803 prec@top3: 0.5000 recall@top5: 0.9545 prec@top5: 0.3636 loss_action_cls: 0.0472 2022/12/03 13:17:01 - mmengine - INFO - Epoch(train) [8][3440/4451] lr: 1.7938e-02 eta: 0:55:19 time: 0.3356 data_time: 0.0132 memory: 8510 grad_norm: 0.1712 loss: 0.0387 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.5758 recall@top3: 0.7803 prec@top3: 0.5606 recall@top5: 0.8258 prec@top5: 0.3636 loss_action_cls: 0.0387 2022/12/03 13:17:08 - mmengine - INFO - Epoch(train) [8][3460/4451] lr: 1.7870e-02 eta: 0:55:12 time: 0.3337 data_time: 0.0154 memory: 8510 grad_norm: 0.1758 loss: 0.0453 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8333 recall@top3: 0.8810 prec@top3: 0.4524 recall@top5: 0.9286 prec@top5: 0.3000 loss_action_cls: 0.0453 2022/12/03 13:17:15 - mmengine - INFO - Epoch(train) [8][3480/4451] lr: 1.7803e-02 eta: 0:55:06 time: 0.3347 data_time: 0.0118 memory: 8510 grad_norm: 0.1736 loss: 0.0412 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.8429 recall@top3: 0.7952 prec@top3: 0.7302 recall@top5: 0.9603 prec@top5: 0.5524 loss_action_cls: 0.0412 2022/12/03 13:17:22 - mmengine - INFO - Epoch(train) [8][3500/4451] lr: 1.7735e-02 eta: 0:54:59 time: 0.3336 data_time: 0.0142 memory: 8510 grad_norm: 0.1800 loss: 0.0464 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7971 recall@top3: 0.8116 prec@top3: 0.5507 recall@top5: 0.9420 prec@top5: 0.4174 loss_action_cls: 0.0464 2022/12/03 13:17:28 - mmengine - INFO - Epoch(train) [8][3520/4451] lr: 1.7668e-02 eta: 0:54:52 time: 0.3334 data_time: 0.0138 memory: 8510 grad_norm: 0.1739 loss: 0.0437 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.8235 recall@top3: 0.8039 prec@top3: 0.6275 recall@top5: 0.9216 prec@top5: 0.4588 loss_action_cls: 0.0437 2022/12/03 13:17:35 - mmengine - INFO - Epoch(train) [8][3540/4451] lr: 1.7601e-02 eta: 0:54:46 time: 0.3356 data_time: 0.0159 memory: 8510 grad_norm: 0.1732 loss: 0.0377 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.6316 recall@top3: 0.8947 prec@top3: 0.5614 recall@top5: 1.0000 prec@top5: 0.3789 loss_action_cls: 0.0377 2022/12/03 13:17:42 - mmengine - INFO - Epoch(train) [8][3560/4451] lr: 1.7534e-02 eta: 0:54:39 time: 0.3312 data_time: 0.0126 memory: 8510 grad_norm: 0.1730 loss: 0.0388 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7917 recall@top3: 0.9048 prec@top3: 0.6905 recall@top5: 0.9762 prec@top5: 0.4571 loss_action_cls: 0.0388 2022/12/03 13:17:48 - mmengine - INFO - Epoch(train) [8][3580/4451] lr: 1.7467e-02 eta: 0:54:32 time: 0.3352 data_time: 0.0139 memory: 8510 grad_norm: 0.1715 loss: 0.0414 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.5303 recall@top3: 0.7992 prec@top3: 0.5000 recall@top5: 0.8750 prec@top5: 0.3273 loss_action_cls: 0.0414 2022/12/03 13:17:55 - mmengine - INFO - Epoch(train) [8][3600/4451] lr: 1.7400e-02 eta: 0:54:26 time: 0.3336 data_time: 0.0142 memory: 8510 grad_norm: 0.1700 loss: 0.0385 recall@thr=0.5: 0.8702 prec@thr=0.5: 0.8684 recall@top3: 0.8526 prec@top3: 0.6667 recall@top5: 0.9088 prec@top5: 0.4632 loss_action_cls: 0.0385 2022/12/03 13:18:02 - mmengine - INFO - Epoch(train) [8][3620/4451] lr: 1.7333e-02 eta: 0:54:19 time: 0.3350 data_time: 0.0118 memory: 8510 grad_norm: 0.1718 loss: 0.0418 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.7596 recall@top3: 0.8051 prec@top3: 0.5513 recall@top5: 0.9731 prec@top5: 0.4308 loss_action_cls: 0.0418 2022/12/03 13:18:08 - mmengine - INFO - Epoch(train) [8][3640/4451] lr: 1.7266e-02 eta: 0:54:12 time: 0.3324 data_time: 0.0128 memory: 8510 grad_norm: 0.1747 loss: 0.0419 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7300 recall@top3: 0.7500 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0419 2022/12/03 13:18:15 - mmengine - INFO - Epoch(train) [8][3660/4451] lr: 1.7199e-02 eta: 0:54:05 time: 0.3339 data_time: 0.0127 memory: 8510 grad_norm: 0.1705 loss: 0.0372 recall@thr=0.5: 0.8878 prec@thr=0.5: 0.9135 recall@top3: 0.8494 prec@top3: 0.7436 recall@top5: 0.9519 prec@top5: 0.5231 loss_action_cls: 0.0372 2022/12/03 13:18:22 - mmengine - INFO - Epoch(train) [8][3680/4451] lr: 1.7133e-02 eta: 0:53:59 time: 0.3349 data_time: 0.0113 memory: 8510 grad_norm: 0.1686 loss: 0.0418 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.7544 recall@top3: 0.8772 prec@top3: 0.7719 recall@top5: 0.9298 prec@top5: 0.5053 loss_action_cls: 0.0418 2022/12/03 13:18:28 - mmengine - INFO - Epoch(train) [8][3700/4451] lr: 1.7066e-02 eta: 0:53:52 time: 0.3356 data_time: 0.0133 memory: 8510 grad_norm: 0.1761 loss: 0.0387 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7353 recall@top3: 0.8922 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0387 2022/12/03 13:18:35 - mmengine - INFO - Epoch(train) [8][3720/4451] lr: 1.7000e-02 eta: 0:53:45 time: 0.3319 data_time: 0.0141 memory: 8510 grad_norm: 0.1758 loss: 0.0401 recall@thr=0.5: 0.5198 prec@thr=0.5: 0.6984 recall@top3: 0.7698 prec@top3: 0.6190 recall@top5: 0.8968 prec@top5: 0.4381 loss_action_cls: 0.0401 2022/12/03 13:18:42 - mmengine - INFO - Epoch(train) [8][3740/4451] lr: 1.6934e-02 eta: 0:53:39 time: 0.3339 data_time: 0.0123 memory: 8510 grad_norm: 0.1742 loss: 0.0387 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8056 recall@top3: 0.9074 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.4556 loss_action_cls: 0.0387 2022/12/03 13:18:48 - mmengine - INFO - Epoch(train) [8][3760/4451] lr: 1.6868e-02 eta: 0:53:32 time: 0.3353 data_time: 0.0148 memory: 8510 grad_norm: 0.1757 loss: 0.0422 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.7368 recall@top3: 0.7105 prec@top3: 0.6842 recall@top5: 0.9298 prec@top5: 0.5368 loss_action_cls: 0.0422 2022/12/03 13:18:55 - mmengine - INFO - Epoch(train) [8][3780/4451] lr: 1.6802e-02 eta: 0:53:25 time: 0.3347 data_time: 0.0168 memory: 8510 grad_norm: 0.1752 loss: 0.0470 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.8922 recall@top3: 0.8382 prec@top3: 0.7255 recall@top5: 0.9608 prec@top5: 0.5176 loss_action_cls: 0.0470 2022/12/03 13:19:02 - mmengine - INFO - Epoch(train) [8][3800/4451] lr: 1.6736e-02 eta: 0:53:19 time: 0.3368 data_time: 0.0131 memory: 8510 grad_norm: 0.1677 loss: 0.0425 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7719 recall@top3: 0.8333 prec@top3: 0.7368 recall@top5: 0.8772 prec@top5: 0.4737 loss_action_cls: 0.0425 2022/12/03 13:19:09 - mmengine - INFO - Epoch(train) [8][3820/4451] lr: 1.6670e-02 eta: 0:53:12 time: 0.3349 data_time: 0.0127 memory: 8510 grad_norm: 0.1713 loss: 0.0390 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.7879 recall@top3: 0.8030 prec@top3: 0.6818 recall@top5: 0.8636 prec@top5: 0.4455 loss_action_cls: 0.0390 2022/12/03 13:19:15 - mmengine - INFO - Epoch(train) [8][3840/4451] lr: 1.6604e-02 eta: 0:53:05 time: 0.3351 data_time: 0.0138 memory: 8510 grad_norm: 0.1759 loss: 0.0335 recall@thr=0.5: 0.6955 prec@thr=0.5: 0.8077 recall@top3: 0.8365 prec@top3: 0.6795 recall@top5: 0.9231 prec@top5: 0.4692 loss_action_cls: 0.0335 2022/12/03 13:19:16 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:19:22 - mmengine - INFO - Epoch(train) [8][3860/4451] lr: 1.6539e-02 eta: 0:52:58 time: 0.3332 data_time: 0.0126 memory: 8510 grad_norm: 0.1739 loss: 0.0462 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.7464 recall@top3: 0.7464 prec@top3: 0.5507 recall@top5: 0.8696 prec@top5: 0.4087 loss_action_cls: 0.0462 2022/12/03 13:19:29 - mmengine - INFO - Epoch(train) [8][3880/4451] lr: 1.6473e-02 eta: 0:52:52 time: 0.3325 data_time: 0.0164 memory: 8510 grad_norm: 0.1736 loss: 0.0366 recall@thr=0.5: 0.6188 prec@thr=0.5: 0.7717 recall@top3: 0.7775 prec@top3: 0.7971 recall@top5: 0.8833 prec@top5: 0.5652 loss_action_cls: 0.0366 2022/12/03 13:19:35 - mmengine - INFO - Epoch(train) [8][3900/4451] lr: 1.6408e-02 eta: 0:52:45 time: 0.3345 data_time: 0.0129 memory: 8510 grad_norm: 0.1803 loss: 0.0413 recall@thr=0.5: 0.7627 prec@thr=0.5: 0.9206 recall@top3: 0.7675 prec@top3: 0.7460 recall@top5: 0.9365 prec@top5: 0.5810 loss_action_cls: 0.0413 2022/12/03 13:19:42 - mmengine - INFO - Epoch(train) [8][3920/4451] lr: 1.6342e-02 eta: 0:52:38 time: 0.3329 data_time: 0.0112 memory: 8510 grad_norm: 0.1743 loss: 0.0381 recall@thr=0.5: 0.7078 prec@thr=0.5: 0.7647 recall@top3: 0.7980 prec@top3: 0.5686 recall@top5: 0.8882 prec@top5: 0.3882 loss_action_cls: 0.0381 2022/12/03 13:19:49 - mmengine - INFO - Epoch(train) [8][3940/4451] lr: 1.6277e-02 eta: 0:52:32 time: 0.3337 data_time: 0.0145 memory: 8510 grad_norm: 0.1735 loss: 0.0402 recall@thr=0.5: 0.5941 prec@thr=0.5: 0.6176 recall@top3: 0.8500 prec@top3: 0.5882 recall@top5: 0.9853 prec@top5: 0.4353 loss_action_cls: 0.0402 2022/12/03 13:19:55 - mmengine - INFO - Epoch(train) [8][3960/4451] lr: 1.6212e-02 eta: 0:52:25 time: 0.3350 data_time: 0.0133 memory: 8510 grad_norm: 0.1762 loss: 0.0373 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8333 recall@top3: 0.9118 prec@top3: 0.6863 recall@top5: 0.9510 prec@top5: 0.4353 loss_action_cls: 0.0373 2022/12/03 13:20:02 - mmengine - INFO - Epoch(train) [8][3980/4451] lr: 1.6147e-02 eta: 0:52:18 time: 0.3320 data_time: 0.0137 memory: 8510 grad_norm: 0.1730 loss: 0.0422 recall@thr=0.5: 0.7628 prec@thr=0.5: 0.8596 recall@top3: 0.8397 prec@top3: 0.7692 recall@top5: 0.9103 prec@top5: 0.5154 loss_action_cls: 0.0422 2022/12/03 13:20:09 - mmengine - INFO - Epoch(train) [8][4000/4451] lr: 1.6082e-02 eta: 0:52:12 time: 0.3342 data_time: 0.0131 memory: 8510 grad_norm: 0.1779 loss: 0.0414 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7273 recall@top3: 0.8030 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4545 loss_action_cls: 0.0414 2022/12/03 13:20:15 - mmengine - INFO - Epoch(train) [8][4020/4451] lr: 1.6018e-02 eta: 0:52:05 time: 0.3357 data_time: 0.0127 memory: 8510 grad_norm: 0.1690 loss: 0.0380 recall@thr=0.5: 0.6827 prec@thr=0.5: 0.7051 recall@top3: 0.8141 prec@top3: 0.6282 recall@top5: 0.9359 prec@top5: 0.4462 loss_action_cls: 0.0380 2022/12/03 13:20:22 - mmengine - INFO - Epoch(train) [8][4040/4451] lr: 1.5953e-02 eta: 0:51:58 time: 0.3333 data_time: 0.0111 memory: 8510 grad_norm: 0.1726 loss: 0.0416 recall@thr=0.5: 0.6313 prec@thr=0.5: 0.6667 recall@top3: 0.6625 prec@top3: 0.5833 recall@top5: 0.9531 prec@top5: 0.5500 loss_action_cls: 0.0416 2022/12/03 13:20:29 - mmengine - INFO - Epoch(train) [8][4060/4451] lr: 1.5888e-02 eta: 0:51:51 time: 0.3348 data_time: 0.0134 memory: 8510 grad_norm: 0.1792 loss: 0.0376 recall@thr=0.5: 0.7060 prec@thr=0.5: 0.7213 recall@top3: 0.8542 prec@top3: 0.6481 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0376 2022/12/03 13:20:35 - mmengine - INFO - Epoch(train) [8][4080/4451] lr: 1.5824e-02 eta: 0:51:45 time: 0.3347 data_time: 0.0164 memory: 8510 grad_norm: 0.1741 loss: 0.0403 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7604 recall@top3: 0.8854 prec@top3: 0.6875 recall@top5: 0.9635 prec@top5: 0.4625 loss_action_cls: 0.0403 2022/12/03 13:20:42 - mmengine - INFO - Epoch(train) [8][4100/4451] lr: 1.5760e-02 eta: 0:51:38 time: 0.3362 data_time: 0.0162 memory: 8510 grad_norm: 0.1757 loss: 0.0412 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8068 recall@top3: 0.8485 prec@top3: 0.7121 recall@top5: 0.9091 prec@top5: 0.4636 loss_action_cls: 0.0412 2022/12/03 13:20:49 - mmengine - INFO - Epoch(train) [8][4120/4451] lr: 1.5695e-02 eta: 0:51:31 time: 0.3358 data_time: 0.0147 memory: 8510 grad_norm: 0.1678 loss: 0.0339 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7833 recall@top3: 0.9000 prec@top3: 0.5500 recall@top5: 0.9500 prec@top5: 0.3600 loss_action_cls: 0.0339 2022/12/03 13:20:56 - mmengine - INFO - Epoch(train) [8][4140/4451] lr: 1.5631e-02 eta: 0:51:25 time: 0.3375 data_time: 0.0139 memory: 8510 grad_norm: 0.1788 loss: 0.0422 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8272 recall@top3: 0.8210 prec@top3: 0.7407 recall@top5: 0.9074 prec@top5: 0.5037 loss_action_cls: 0.0422 2022/12/03 13:21:02 - mmengine - INFO - Epoch(train) [8][4160/4451] lr: 1.5567e-02 eta: 0:51:18 time: 0.3344 data_time: 0.0132 memory: 8510 grad_norm: 0.1785 loss: 0.0416 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6071 recall@top3: 0.7798 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0416 2022/12/03 13:21:09 - mmengine - INFO - Epoch(train) [8][4180/4451] lr: 1.5503e-02 eta: 0:51:11 time: 0.3323 data_time: 0.0121 memory: 8510 grad_norm: 0.1755 loss: 0.0393 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7460 recall@top3: 0.6762 prec@top3: 0.6825 recall@top5: 0.9365 prec@top5: 0.5429 loss_action_cls: 0.0393 2022/12/03 13:21:16 - mmengine - INFO - Epoch(train) [8][4200/4451] lr: 1.5439e-02 eta: 0:51:05 time: 0.3335 data_time: 0.0155 memory: 8510 grad_norm: 0.1745 loss: 0.0358 recall@thr=0.5: 0.8630 prec@thr=0.5: 0.8623 recall@top3: 0.8674 prec@top3: 0.6522 recall@top5: 0.9783 prec@top5: 0.4783 loss_action_cls: 0.0358 2022/12/03 13:21:22 - mmengine - INFO - Epoch(train) [8][4220/4451] lr: 1.5376e-02 eta: 0:50:58 time: 0.3352 data_time: 0.0133 memory: 8510 grad_norm: 0.1750 loss: 0.0368 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6304 recall@top3: 0.7138 prec@top3: 0.5217 recall@top5: 0.7826 prec@top5: 0.3565 loss_action_cls: 0.0368 2022/12/03 13:21:29 - mmengine - INFO - Epoch(train) [8][4240/4451] lr: 1.5312e-02 eta: 0:50:51 time: 0.3348 data_time: 0.0121 memory: 8510 grad_norm: 0.1814 loss: 0.0384 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.7941 recall@top3: 0.8039 prec@top3: 0.4706 recall@top5: 0.9608 prec@top5: 0.3647 loss_action_cls: 0.0384 2022/12/03 13:21:36 - mmengine - INFO - Epoch(train) [8][4260/4451] lr: 1.5249e-02 eta: 0:50:44 time: 0.3352 data_time: 0.0115 memory: 8510 grad_norm: 0.1761 loss: 0.0423 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6228 recall@top3: 0.7632 prec@top3: 0.7018 recall@top5: 0.9518 prec@top5: 0.5474 loss_action_cls: 0.0423 2022/12/03 13:21:42 - mmengine - INFO - Epoch(train) [8][4280/4451] lr: 1.5185e-02 eta: 0:50:38 time: 0.3333 data_time: 0.0135 memory: 8510 grad_norm: 0.1722 loss: 0.0367 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8611 recall@top3: 0.7857 prec@top3: 0.6349 recall@top5: 0.9762 prec@top5: 0.4667 loss_action_cls: 0.0367 2022/12/03 13:21:49 - mmengine - INFO - Epoch(train) [8][4300/4451] lr: 1.5122e-02 eta: 0:50:31 time: 0.3340 data_time: 0.0145 memory: 8510 grad_norm: 0.1764 loss: 0.0435 recall@thr=0.5: 0.4944 prec@thr=0.5: 0.6167 recall@top3: 0.7000 prec@top3: 0.5556 recall@top5: 0.9361 prec@top5: 0.4333 loss_action_cls: 0.0435 2022/12/03 13:21:56 - mmengine - INFO - Epoch(train) [8][4320/4451] lr: 1.5059e-02 eta: 0:50:24 time: 0.3347 data_time: 0.0137 memory: 8510 grad_norm: 0.1720 loss: 0.0398 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8011 recall@top3: 0.9500 prec@top3: 0.8444 recall@top5: 1.0000 prec@top5: 0.5467 loss_action_cls: 0.0398 2022/12/03 13:22:02 - mmengine - INFO - Epoch(train) [8][4340/4451] lr: 1.4996e-02 eta: 0:50:18 time: 0.3349 data_time: 0.0128 memory: 8510 grad_norm: 0.1748 loss: 0.0423 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.6736 recall@top3: 0.7889 prec@top3: 0.5972 recall@top5: 0.9417 prec@top5: 0.4417 loss_action_cls: 0.0423 2022/12/03 13:22:09 - mmengine - INFO - Epoch(train) [8][4360/4451] lr: 1.4933e-02 eta: 0:50:11 time: 0.3343 data_time: 0.0143 memory: 8510 grad_norm: 0.1785 loss: 0.0380 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8958 recall@top3: 0.8958 prec@top3: 0.8333 recall@top5: 0.9609 prec@top5: 0.5500 loss_action_cls: 0.0380 2022/12/03 13:22:16 - mmengine - INFO - Epoch(train) [8][4380/4451] lr: 1.4870e-02 eta: 0:50:04 time: 0.3338 data_time: 0.0114 memory: 8510 grad_norm: 0.1762 loss: 0.0406 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7302 recall@top3: 0.7984 prec@top3: 0.6825 recall@top5: 0.8952 prec@top5: 0.4667 loss_action_cls: 0.0406 2022/12/03 13:22:22 - mmengine - INFO - Epoch(train) [8][4400/4451] lr: 1.4807e-02 eta: 0:49:58 time: 0.3323 data_time: 0.0113 memory: 8510 grad_norm: 0.1793 loss: 0.0371 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7500 recall@top3: 0.8208 prec@top3: 0.6167 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0371 2022/12/03 13:22:29 - mmengine - INFO - Epoch(train) [8][4420/4451] lr: 1.4745e-02 eta: 0:49:51 time: 0.3333 data_time: 0.0153 memory: 8510 grad_norm: 0.1754 loss: 0.0424 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7089 recall@top3: 0.8044 prec@top3: 0.6444 recall@top5: 0.9200 prec@top5: 0.4667 loss_action_cls: 0.0424 2022/12/03 13:22:36 - mmengine - INFO - Epoch(train) [8][4440/4451] lr: 1.4682e-02 eta: 0:49:44 time: 0.3338 data_time: 0.0143 memory: 8510 grad_norm: 0.1754 loss: 0.0384 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6471 recall@top3: 0.8039 prec@top3: 0.5490 recall@top5: 0.9216 prec@top5: 0.3647 loss_action_cls: 0.0384 2022/12/03 13:22:39 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:22:39 - mmengine - INFO - Epoch(train) [8][4451/4451] lr: 1.4648e-02 eta: 0:49:40 time: 0.3288 data_time: 0.0126 memory: 8510 grad_norm: 0.1742 loss: 0.0374 recall@thr=0.5: 0.9103 prec@thr=0.5: 0.9615 recall@top3: 0.9615 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0374 2022/12/03 13:22:39 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/12/03 13:22:46 - mmengine - INFO - Epoch(val) [8][ 20/6282] eta: 0:07:02 time: 0.0674 data_time: 0.0237 memory: 662 2022/12/03 13:22:47 - mmengine - INFO - Epoch(val) [8][ 40/6282] eta: 0:06:06 time: 0.0500 data_time: 0.0045 memory: 662 2022/12/03 13:22:48 - mmengine - INFO - Epoch(val) [8][ 60/6282] eta: 0:05:44 time: 0.0487 data_time: 0.0067 memory: 662 2022/12/03 13:22:49 - mmengine - INFO - Epoch(val) [8][ 80/6282] eta: 0:05:32 time: 0.0486 data_time: 0.0077 memory: 662 2022/12/03 13:22:50 - mmengine - INFO - Epoch(val) [8][ 100/6282] eta: 0:05:26 time: 0.0499 data_time: 0.0062 memory: 662 2022/12/03 13:22:51 - mmengine - INFO - Epoch(val) [8][ 120/6282] eta: 0:05:26 time: 0.0531 data_time: 0.0056 memory: 733 2022/12/03 13:22:52 - mmengine - INFO 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time: 0.0539 data_time: 0.0064 memory: 679 2022/12/03 13:23:11 - mmengine - INFO - Epoch(val) [8][ 480/6282] eta: 0:05:19 time: 0.0528 data_time: 0.0105 memory: 679 2022/12/03 13:23:12 - mmengine - INFO - Epoch(val) [8][ 500/6282] eta: 0:05:17 time: 0.0533 data_time: 0.0107 memory: 679 2022/12/03 13:23:13 - mmengine - INFO - Epoch(val) [8][ 520/6282] eta: 0:05:15 time: 0.0482 data_time: 0.0067 memory: 674 2022/12/03 13:23:14 - mmengine - INFO - Epoch(val) [8][ 540/6282] eta: 0:05:13 time: 0.0535 data_time: 0.0075 memory: 674 2022/12/03 13:23:15 - mmengine - INFO - Epoch(val) [8][ 560/6282] eta: 0:05:12 time: 0.0540 data_time: 0.0099 memory: 674 2022/12/03 13:23:16 - mmengine - INFO - Epoch(val) [8][ 580/6282] eta: 0:05:11 time: 0.0572 data_time: 0.0085 memory: 674 2022/12/03 13:23:17 - mmengine - INFO - Epoch(val) [8][ 600/6282] eta: 0:05:10 time: 0.0521 data_time: 0.0068 memory: 674 2022/12/03 13:23:18 - mmengine - INFO - Epoch(val) [8][ 620/6282] eta: 0:05:08 time: 0.0516 data_time: 0.0064 memory: 674 2022/12/03 13:23:19 - mmengine - INFO - Epoch(val) [8][ 640/6282] eta: 0:05:07 time: 0.0523 data_time: 0.0085 memory: 670 2022/12/03 13:23:20 - mmengine - INFO - Epoch(val) [8][ 660/6282] eta: 0:05:05 time: 0.0498 data_time: 0.0059 memory: 670 2022/12/03 13:23:21 - mmengine - INFO - Epoch(val) [8][ 680/6282] eta: 0:05:03 time: 0.0481 data_time: 0.0086 memory: 670 2022/12/03 13:23:22 - mmengine - INFO - Epoch(val) [8][ 700/6282] eta: 0:05:00 time: 0.0451 data_time: 0.0067 memory: 670 2022/12/03 13:23:23 - mmengine - INFO - Epoch(val) [8][ 720/6282] eta: 0:04:59 time: 0.0521 data_time: 0.0093 memory: 733 2022/12/03 13:23:24 - mmengine - INFO - Epoch(val) [8][ 740/6282] eta: 0:04:58 time: 0.0575 data_time: 0.0116 memory: 733 2022/12/03 13:23:26 - mmengine - INFO - Epoch(val) [8][ 760/6282] eta: 0:05:00 time: 0.0714 data_time: 0.0221 memory: 733 2022/12/03 13:23:27 - mmengine - INFO - Epoch(val) [8][ 780/6282] eta: 0:05:00 time: 0.0660 data_time: 0.0141 memory: 733 2022/12/03 13:23:29 - mmengine - INFO - Epoch(val) [8][ 800/6282] eta: 0:05:01 time: 0.0691 data_time: 0.0194 memory: 733 2022/12/03 13:23:30 - mmengine - INFO - Epoch(val) [8][ 820/6282] eta: 0:05:01 time: 0.0591 data_time: 0.0122 memory: 733 2022/12/03 13:23:31 - mmengine - INFO - Epoch(val) [8][ 840/6282] eta: 0:05:00 time: 0.0586 data_time: 0.0100 memory: 674 2022/12/03 13:23:32 - mmengine - INFO - Epoch(val) [8][ 860/6282] eta: 0:05:00 time: 0.0602 data_time: 0.0137 memory: 674 2022/12/03 13:23:33 - mmengine - INFO - Epoch(val) [8][ 880/6282] eta: 0:04:58 time: 0.0553 data_time: 0.0098 memory: 674 2022/12/03 13:23:34 - mmengine - INFO - Epoch(val) [8][ 900/6282] eta: 0:04:57 time: 0.0504 data_time: 0.0078 memory: 674 2022/12/03 13:23:36 - mmengine - INFO - Epoch(val) [8][ 920/6282] eta: 0:04:57 time: 0.0651 data_time: 0.0080 memory: 674 2022/12/03 13:23:37 - mmengine - INFO - Epoch(val) [8][ 940/6282] eta: 0:04:55 time: 0.0523 data_time: 0.0073 memory: 662 2022/12/03 13:23:38 - mmengine - INFO - Epoch(val) [8][ 960/6282] eta: 0:04:53 time: 0.0491 data_time: 0.0073 memory: 662 2022/12/03 13:23:39 - mmengine - INFO - Epoch(val) [8][ 980/6282] eta: 0:04:52 time: 0.0519 data_time: 0.0075 memory: 662 2022/12/03 13:23:40 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:04:51 time: 0.0546 data_time: 0.0078 memory: 662 2022/12/03 13:23:41 - mmengine - INFO - Epoch(val) [8][1020/6282] eta: 0:04:50 time: 0.0543 data_time: 0.0100 memory: 674 2022/12/03 13:23:42 - mmengine - INFO - Epoch(val) [8][1040/6282] eta: 0:04:48 time: 0.0542 data_time: 0.0100 memory: 674 2022/12/03 13:23:43 - mmengine - INFO - Epoch(val) [8][1060/6282] eta: 0:04:48 time: 0.0588 data_time: 0.0098 memory: 674 2022/12/03 13:23:44 - mmengine - INFO - Epoch(val) [8][1080/6282] eta: 0:04:47 time: 0.0564 data_time: 0.0103 memory: 674 2022/12/03 13:23:45 - mmengine - INFO - Epoch(val) [8][1100/6282] eta: 0:04:46 time: 0.0542 data_time: 0.0085 memory: 674 2022/12/03 13:23:46 - mmengine - INFO - Epoch(val) [8][1120/6282] eta: 0:04:44 time: 0.0541 data_time: 0.0073 memory: 674 2022/12/03 13:23:47 - mmengine - INFO - Epoch(val) [8][1140/6282] eta: 0:04:43 time: 0.0517 data_time: 0.0100 memory: 674 2022/12/03 13:23:48 - mmengine - INFO - Epoch(val) [8][1160/6282] eta: 0:04:42 time: 0.0530 data_time: 0.0088 memory: 674 2022/12/03 13:23:49 - mmengine - INFO - Epoch(val) [8][1180/6282] eta: 0:04:40 time: 0.0502 data_time: 0.0099 memory: 674 2022/12/03 13:23:51 - mmengine - INFO - Epoch(val) [8][1200/6282] eta: 0:04:39 time: 0.0522 data_time: 0.0065 memory: 674 2022/12/03 13:23:52 - mmengine - INFO - Epoch(val) [8][1220/6282] eta: 0:04:37 time: 0.0497 data_time: 0.0067 memory: 674 2022/12/03 13:23:53 - mmengine - INFO - Epoch(val) [8][1240/6282] eta: 0:04:36 time: 0.0592 data_time: 0.0120 memory: 733 2022/12/03 13:23:54 - mmengine - INFO - Epoch(val) [8][1260/6282] eta: 0:04:36 time: 0.0635 data_time: 0.0143 memory: 733 2022/12/03 13:23:55 - mmengine - INFO - Epoch(val) 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0:04:30 time: 0.0577 data_time: 0.0066 memory: 733 2022/12/03 13:24:06 - mmengine - INFO - Epoch(val) [8][1460/6282] eta: 0:04:29 time: 0.0517 data_time: 0.0048 memory: 733 2022/12/03 13:24:07 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:04:28 time: 0.0547 data_time: 0.0064 memory: 733 2022/12/03 13:24:08 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:04:26 time: 0.0515 data_time: 0.0062 memory: 733 2022/12/03 13:24:09 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:04:25 time: 0.0527 data_time: 0.0058 memory: 820 2022/12/03 13:24:11 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:04:24 time: 0.0584 data_time: 0.0068 memory: 820 2022/12/03 13:24:12 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:04:23 time: 0.0610 data_time: 0.0076 memory: 820 2022/12/03 13:24:13 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:04:22 time: 0.0612 data_time: 0.0085 memory: 820 2022/12/03 13:24:14 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:04:22 time: 0.0613 data_time: 0.0074 memory: 820 2022/12/03 13:24:16 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:04:21 time: 0.0623 data_time: 0.0068 memory: 820 2022/12/03 13:24:17 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:04:20 time: 0.0551 data_time: 0.0063 memory: 733 2022/12/03 13:24:18 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:04:18 time: 0.0538 data_time: 0.0050 memory: 733 2022/12/03 13:24:19 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:04:17 time: 0.0541 data_time: 0.0073 memory: 733 2022/12/03 13:24:20 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:04:16 time: 0.0519 data_time: 0.0069 memory: 733 2022/12/03 13:24:21 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:04:15 time: 0.0537 data_time: 0.0079 memory: 733 2022/12/03 13:24:22 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:04:13 time: 0.0536 data_time: 0.0064 memory: 733 2022/12/03 13:24:23 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:04:13 time: 0.0599 data_time: 0.0088 memory: 733 2022/12/03 13:24:24 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:04:11 time: 0.0554 data_time: 0.0062 memory: 733 2022/12/03 13:24:25 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:04:10 time: 0.0510 data_time: 0.0062 memory: 733 2022/12/03 13:24:26 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:04:09 time: 0.0560 data_time: 0.0073 memory: 733 2022/12/03 13:24:28 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:04:08 time: 0.0551 data_time: 0.0102 memory: 733 2022/12/03 13:24:29 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:04:07 time: 0.0568 data_time: 0.0075 memory: 733 2022/12/03 13:24:30 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:04:06 time: 0.0720 data_time: 0.0248 memory: 733 2022/12/03 13:24:31 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:04:05 time: 0.0542 data_time: 0.0087 memory: 733 2022/12/03 13:24:33 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:04:05 time: 0.0764 data_time: 0.0293 memory: 733 2022/12/03 13:24:34 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:04:04 time: 0.0608 data_time: 0.0137 memory: 733 2022/12/03 13:24:35 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:04:03 time: 0.0525 data_time: 0.0087 memory: 679 2022/12/03 13:24:36 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:04:02 time: 0.0551 data_time: 0.0131 memory: 679 2022/12/03 13:24:37 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:04:00 time: 0.0538 data_time: 0.0103 memory: 679 2022/12/03 13:24:38 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:03:59 time: 0.0534 data_time: 0.0072 memory: 679 2022/12/03 13:24:39 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:03:58 time: 0.0574 data_time: 0.0087 memory: 679 2022/12/03 13:24:41 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:03:57 time: 0.0541 data_time: 0.0087 memory: 679 2022/12/03 13:24:42 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:03:55 time: 0.0529 data_time: 0.0074 memory: 679 2022/12/03 13:24:43 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:03:54 time: 0.0563 data_time: 0.0070 memory: 679 2022/12/03 13:24:44 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:03:53 time: 0.0537 data_time: 0.0071 memory: 679 2022/12/03 13:24:45 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:03:52 time: 0.0546 data_time: 0.0059 memory: 679 2022/12/03 13:24:46 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:03:51 time: 0.0532 data_time: 0.0074 memory: 674 2022/12/03 13:24:47 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:03:49 time: 0.0517 data_time: 0.0048 memory: 674 2022/12/03 13:24:48 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:03:48 time: 0.0546 data_time: 0.0094 memory: 674 2022/12/03 13:24:49 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:03:47 time: 0.0550 data_time: 0.0076 memory: 674 2022/12/03 13:24:50 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:03:46 time: 0.0517 data_time: 0.0087 memory: 674 2022/12/03 13:24:51 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:03:45 time: 0.0502 data_time: 0.0048 memory: 679 2022/12/03 13:24:52 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:03:43 time: 0.0550 data_time: 0.0097 memory: 679 2022/12/03 13:24:54 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:03:42 time: 0.0558 data_time: 0.0122 memory: 679 2022/12/03 13:24:55 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:03:41 time: 0.0553 data_time: 0.0100 memory: 679 2022/12/03 13:24:56 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:03:40 time: 0.0508 data_time: 0.0076 memory: 679 2022/12/03 13:24:57 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:03:39 time: 0.0554 data_time: 0.0094 memory: 674 2022/12/03 13:24:58 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:03:37 time: 0.0500 data_time: 0.0061 memory: 674 2022/12/03 13:24:59 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:03:36 time: 0.0519 data_time: 0.0083 memory: 674 2022/12/03 13:25:00 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:03:35 time: 0.0499 data_time: 0.0089 memory: 674 2022/12/03 13:25:01 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:03:34 time: 0.0509 data_time: 0.0071 memory: 674 2022/12/03 13:25:02 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:03:33 time: 0.0598 data_time: 0.0089 memory: 733 2022/12/03 13:25:03 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:03:31 time: 0.0570 data_time: 0.0073 memory: 733 2022/12/03 13:25:04 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:03:30 time: 0.0563 data_time: 0.0086 memory: 733 2022/12/03 13:25:05 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:03:29 time: 0.0537 data_time: 0.0084 memory: 733 2022/12/03 13:25:07 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:03:28 time: 0.0564 data_time: 0.0080 memory: 733 2022/12/03 13:25:08 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:03:27 time: 0.0600 data_time: 0.0127 memory: 733 2022/12/03 13:25:09 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:03:27 time: 0.0732 data_time: 0.0272 memory: 733 2022/12/03 13:25:11 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:03:26 time: 0.0668 data_time: 0.0182 memory: 733 2022/12/03 13:25:12 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:03:24 time: 0.0498 data_time: 0.0069 memory: 733 2022/12/03 13:25:13 - mmengine - INFO - Epoch(val) [8][2640/6282] eta: 0:03:23 time: 0.0591 data_time: 0.0137 memory: 733 2022/12/03 13:25:14 - mmengine - INFO - Epoch(val) [8][2660/6282] eta: 0:03:22 time: 0.0555 data_time: 0.0050 memory: 812 2022/12/03 13:25:15 - mmengine - INFO - Epoch(val) [8][2680/6282] eta: 0:03:21 time: 0.0594 data_time: 0.0060 memory: 812 2022/12/03 13:25:16 - mmengine - INFO - Epoch(val) [8][2700/6282] eta: 0:03:20 time: 0.0617 data_time: 0.0070 memory: 812 2022/12/03 13:25:18 - mmengine - INFO - Epoch(val) [8][2720/6282] eta: 0:03:19 time: 0.0665 data_time: 0.0136 memory: 812 2022/12/03 13:25:19 - mmengine - INFO - Epoch(val) [8][2740/6282] eta: 0:03:18 time: 0.0584 data_time: 0.0084 memory: 812 2022/12/03 13:25:20 - mmengine - INFO - Epoch(val) [8][2760/6282] eta: 0:03:17 time: 0.0562 data_time: 0.0098 memory: 679 2022/12/03 13:25:21 - mmengine - INFO - Epoch(val) [8][2780/6282] eta: 0:03:16 time: 0.0517 data_time: 0.0079 memory: 679 2022/12/03 13:25:22 - mmengine - INFO - Epoch(val) [8][2800/6282] eta: 0:03:15 time: 0.0534 data_time: 0.0078 memory: 679 2022/12/03 13:25:23 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:03:14 time: 0.0502 data_time: 0.0105 memory: 679 2022/12/03 13:25:24 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:03:12 time: 0.0555 data_time: 0.0099 memory: 679 2022/12/03 13:25:25 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:03:11 time: 0.0575 data_time: 0.0086 memory: 733 2022/12/03 13:25:26 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:03:10 time: 0.0597 data_time: 0.0102 memory: 733 2022/12/03 13:25:28 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:03:09 time: 0.0560 data_time: 0.0080 memory: 733 2022/12/03 13:25:29 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:03:08 time: 0.0546 data_time: 0.0086 memory: 733 2022/12/03 13:25:30 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:03:07 time: 0.0499 data_time: 0.0074 memory: 702 2022/12/03 13:25:31 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:03:05 time: 0.0510 data_time: 0.0056 memory: 702 2022/12/03 13:25:32 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:03:04 time: 0.0532 data_time: 0.0083 memory: 702 2022/12/03 13:25:33 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:03:03 time: 0.0515 data_time: 0.0087 memory: 702 2022/12/03 13:25:34 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:03:02 time: 0.0554 data_time: 0.0061 memory: 733 2022/12/03 13:25:35 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:03:01 time: 0.0557 data_time: 0.0071 memory: 733 2022/12/03 13:25:36 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:03:00 time: 0.0568 data_time: 0.0065 memory: 733 2022/12/03 13:25:37 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:02:59 time: 0.0570 data_time: 0.0070 memory: 733 2022/12/03 13:25:38 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:02:57 time: 0.0546 data_time: 0.0081 memory: 733 2022/12/03 13:25:39 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:02:56 time: 0.0487 data_time: 0.0051 memory: 679 2022/12/03 13:25:40 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:02:55 time: 0.0511 data_time: 0.0070 memory: 679 2022/12/03 13:25:41 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:02:54 time: 0.0517 data_time: 0.0070 memory: 679 2022/12/03 13:25:42 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:02:53 time: 0.0487 data_time: 0.0073 memory: 679 2022/12/03 13:25:44 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:02:51 time: 0.0548 data_time: 0.0068 memory: 733 2022/12/03 13:25:45 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:02:50 time: 0.0582 data_time: 0.0078 memory: 733 2022/12/03 13:25:46 - mmengine - INFO - Epoch(val) 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0:02:40 time: 0.0541 data_time: 0.0087 memory: 674 2022/12/03 13:25:56 - mmengine - INFO - Epoch(val) [8][3420/6282] eta: 0:02:39 time: 0.0516 data_time: 0.0087 memory: 674 2022/12/03 13:25:57 - mmengine - INFO - Epoch(val) [8][3440/6282] eta: 0:02:38 time: 0.0522 data_time: 0.0087 memory: 674 2022/12/03 13:25:58 - mmengine - INFO - Epoch(val) [8][3460/6282] eta: 0:02:37 time: 0.0551 data_time: 0.0060 memory: 674 2022/12/03 13:25:59 - mmengine - INFO - Epoch(val) [8][3480/6282] eta: 0:02:36 time: 0.0553 data_time: 0.0067 memory: 674 2022/12/03 13:26:00 - mmengine - INFO - Epoch(val) [8][3500/6282] eta: 0:02:35 time: 0.0491 data_time: 0.0079 memory: 674 2022/12/03 13:26:01 - mmengine - INFO - Epoch(val) [8][3520/6282] eta: 0:02:33 time: 0.0533 data_time: 0.0085 memory: 674 2022/12/03 13:26:02 - mmengine - INFO - Epoch(val) [8][3540/6282] eta: 0:02:32 time: 0.0521 data_time: 0.0090 memory: 674 2022/12/03 13:26:03 - mmengine - INFO - Epoch(val) [8][3560/6282] eta: 0:02:31 time: 0.0558 data_time: 0.0079 memory: 674 2022/12/03 13:26:04 - mmengine - INFO - Epoch(val) [8][3580/6282] eta: 0:02:30 time: 0.0521 data_time: 0.0078 memory: 716 2022/12/03 13:26:06 - mmengine - INFO - Epoch(val) [8][3600/6282] eta: 0:02:29 time: 0.0520 data_time: 0.0082 memory: 716 2022/12/03 13:26:07 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:02:28 time: 0.0528 data_time: 0.0069 memory: 716 2022/12/03 13:26:08 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:02:26 time: 0.0523 data_time: 0.0070 memory: 716 2022/12/03 13:26:09 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:25 time: 0.0552 data_time: 0.0090 memory: 716 2022/12/03 13:26:10 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:02:24 time: 0.0541 data_time: 0.0082 memory: 733 2022/12/03 13:26:11 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:02:23 time: 0.0559 data_time: 0.0079 memory: 733 2022/12/03 13:26:12 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:02:22 time: 0.0579 data_time: 0.0098 memory: 733 2022/12/03 13:26:13 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:02:21 time: 0.0543 data_time: 0.0064 memory: 733 2022/12/03 13:26:14 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:02:20 time: 0.0559 data_time: 0.0068 memory: 733 2022/12/03 13:26:15 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:02:19 time: 0.0554 data_time: 0.0073 memory: 733 2022/12/03 13:26:17 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:02:18 time: 0.0569 data_time: 0.0088 memory: 733 2022/12/03 13:26:18 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:02:16 time: 0.0565 data_time: 0.0055 memory: 733 2022/12/03 13:26:19 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:02:15 time: 0.0562 data_time: 0.0076 memory: 733 2022/12/03 13:26:20 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:02:14 time: 0.0566 data_time: 0.0086 memory: 733 2022/12/03 13:26:21 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:02:13 time: 0.0560 data_time: 0.0104 memory: 733 2022/12/03 13:26:22 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:02:12 time: 0.0577 data_time: 0.0104 memory: 733 2022/12/03 13:26:23 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:02:11 time: 0.0553 data_time: 0.0063 memory: 733 2022/12/03 13:26:24 - mmengine - INFO - Epoch(val) [8][3940/6282] eta: 0:02:10 time: 0.0548 data_time: 0.0063 memory: 733 2022/12/03 13:26:26 - mmengine - INFO - Epoch(val) [8][3960/6282] eta: 0:02:09 time: 0.0529 data_time: 0.0060 memory: 733 2022/12/03 13:26:27 - mmengine - INFO - Epoch(val) [8][3980/6282] eta: 0:02:08 time: 0.0532 data_time: 0.0052 memory: 733 2022/12/03 13:26:28 - mmengine - INFO - Epoch(val) [8][4000/6282] eta: 0:02:06 time: 0.0507 data_time: 0.0065 memory: 733 2022/12/03 13:26:29 - mmengine - INFO - Epoch(val) [8][4020/6282] eta: 0:02:05 time: 0.0499 data_time: 0.0055 memory: 733 2022/12/03 13:26:30 - mmengine - INFO - Epoch(val) [8][4040/6282] eta: 0:02:04 time: 0.0531 data_time: 0.0084 memory: 812 2022/12/03 13:26:31 - mmengine - INFO - Epoch(val) [8][4060/6282] eta: 0:02:03 time: 0.0587 data_time: 0.0074 memory: 812 2022/12/03 13:26:32 - mmengine - INFO - Epoch(val) [8][4080/6282] eta: 0:02:02 time: 0.0597 data_time: 0.0078 memory: 812 2022/12/03 13:26:33 - mmengine - INFO - Epoch(val) [8][4100/6282] eta: 0:02:01 time: 0.0634 data_time: 0.0090 memory: 812 2022/12/03 13:26:35 - mmengine - INFO - Epoch(val) [8][4120/6282] eta: 0:02:00 time: 0.0630 data_time: 0.0103 memory: 812 2022/12/03 13:26:36 - mmengine - INFO - Epoch(val) [8][4140/6282] eta: 0:01:59 time: 0.0559 data_time: 0.0058 memory: 812 2022/12/03 13:26:37 - mmengine - INFO - Epoch(val) [8][4160/6282] eta: 0:01:58 time: 0.0494 data_time: 0.0078 memory: 674 2022/12/03 13:26:38 - mmengine - INFO - Epoch(val) [8][4180/6282] eta: 0:01:56 time: 0.0550 data_time: 0.0105 memory: 674 2022/12/03 13:26:39 - mmengine - INFO - Epoch(val) [8][4200/6282] eta: 0:01:55 time: 0.0486 data_time: 0.0074 memory: 674 2022/12/03 13:26:40 - mmengine - INFO - Epoch(val) 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0:01:45 time: 0.0544 data_time: 0.0067 memory: 733 2022/12/03 13:26:50 - mmengine - INFO - Epoch(val) [8][4400/6282] eta: 0:01:44 time: 0.0631 data_time: 0.0069 memory: 733 2022/12/03 13:26:51 - mmengine - INFO - Epoch(val) [8][4420/6282] eta: 0:01:43 time: 0.0557 data_time: 0.0082 memory: 733 2022/12/03 13:26:52 - mmengine - INFO - Epoch(val) [8][4440/6282] eta: 0:01:42 time: 0.0603 data_time: 0.0093 memory: 740 2022/12/03 13:26:53 - mmengine - INFO - Epoch(val) [8][4460/6282] eta: 0:01:41 time: 0.0552 data_time: 0.0078 memory: 740 2022/12/03 13:26:54 - mmengine - INFO - Epoch(val) [8][4480/6282] eta: 0:01:40 time: 0.0551 data_time: 0.0054 memory: 740 2022/12/03 13:26:55 - mmengine - INFO - Epoch(val) [8][4500/6282] eta: 0:01:39 time: 0.0607 data_time: 0.0113 memory: 740 2022/12/03 13:26:56 - mmengine - INFO - Epoch(val) [8][4520/6282] eta: 0:01:37 time: 0.0544 data_time: 0.0074 memory: 740 2022/12/03 13:26:57 - mmengine - INFO - Epoch(val) [8][4540/6282] eta: 0:01:36 time: 0.0528 data_time: 0.0083 memory: 679 2022/12/03 13:26:58 - mmengine - INFO - Epoch(val) [8][4560/6282] eta: 0:01:35 time: 0.0464 data_time: 0.0045 memory: 679 2022/12/03 13:26:59 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:34 time: 0.0546 data_time: 0.0073 memory: 679 2022/12/03 13:27:01 - mmengine - INFO - Epoch(val) [8][4600/6282] eta: 0:01:33 time: 0.0514 data_time: 0.0063 memory: 679 2022/12/03 13:27:01 - mmengine - INFO - Epoch(val) [8][4620/6282] eta: 0:01:32 time: 0.0489 data_time: 0.0052 memory: 679 2022/12/03 13:27:03 - mmengine - INFO - Epoch(val) [8][4640/6282] eta: 0:01:31 time: 0.0559 data_time: 0.0091 memory: 740 2022/12/03 13:27:04 - mmengine - INFO - Epoch(val) [8][4660/6282] eta: 0:01:29 time: 0.0555 data_time: 0.0080 memory: 740 2022/12/03 13:27:05 - mmengine - INFO - Epoch(val) [8][4680/6282] eta: 0:01:28 time: 0.0535 data_time: 0.0069 memory: 740 2022/12/03 13:27:06 - mmengine - INFO - Epoch(val) [8][4700/6282] eta: 0:01:27 time: 0.0516 data_time: 0.0068 memory: 740 2022/12/03 13:27:07 - mmengine - INFO - Epoch(val) [8][4720/6282] eta: 0:01:26 time: 0.0575 data_time: 0.0071 memory: 740 2022/12/03 13:27:08 - mmengine - INFO - Epoch(val) [8][4740/6282] eta: 0:01:25 time: 0.0534 data_time: 0.0075 memory: 699 2022/12/03 13:27:09 - mmengine - INFO - Epoch(val) [8][4760/6282] eta: 0:01:24 time: 0.0527 data_time: 0.0080 memory: 699 2022/12/03 13:27:10 - mmengine - INFO - Epoch(val) [8][4780/6282] eta: 0:01:23 time: 0.0515 data_time: 0.0071 memory: 699 2022/12/03 13:27:11 - mmengine - INFO - Epoch(val) [8][4800/6282] eta: 0:01:22 time: 0.0627 data_time: 0.0090 memory: 699 2022/12/03 13:27:12 - mmengine - INFO - Epoch(val) [8][4820/6282] eta: 0:01:21 time: 0.0538 data_time: 0.0055 memory: 733 2022/12/03 13:27:14 - mmengine - INFO - Epoch(val) [8][4840/6282] eta: 0:01:19 time: 0.0557 data_time: 0.0065 memory: 733 2022/12/03 13:27:15 - mmengine - INFO - Epoch(val) [8][4860/6282] eta: 0:01:18 time: 0.0582 data_time: 0.0082 memory: 733 2022/12/03 13:27:16 - mmengine - INFO - Epoch(val) [8][4880/6282] eta: 0:01:17 time: 0.0557 data_time: 0.0066 memory: 733 2022/12/03 13:27:17 - mmengine - INFO - Epoch(val) [8][4900/6282] eta: 0:01:16 time: 0.0557 data_time: 0.0076 memory: 733 2022/12/03 13:27:18 - mmengine - INFO - Epoch(val) [8][4920/6282] eta: 0:01:15 time: 0.0555 data_time: 0.0080 memory: 736 2022/12/03 13:27:19 - mmengine - INFO - Epoch(val) [8][4940/6282] eta: 0:01:14 time: 0.0587 data_time: 0.0060 memory: 736 2022/12/03 13:27:20 - mmengine - INFO - Epoch(val) [8][4960/6282] eta: 0:01:13 time: 0.0593 data_time: 0.0097 memory: 736 2022/12/03 13:27:22 - mmengine - INFO - Epoch(val) [8][4980/6282] eta: 0:01:12 time: 0.0580 data_time: 0.0071 memory: 736 2022/12/03 13:27:23 - mmengine - INFO - Epoch(val) [8][5000/6282] eta: 0:01:11 time: 0.0595 data_time: 0.0103 memory: 736 2022/12/03 13:27:24 - mmengine - INFO - Epoch(val) [8][5020/6282] eta: 0:01:10 time: 0.0536 data_time: 0.0068 memory: 736 2022/12/03 13:27:25 - mmengine - INFO - Epoch(val) [8][5040/6282] eta: 0:01:08 time: 0.0506 data_time: 0.0075 memory: 679 2022/12/03 13:27:26 - mmengine - INFO - Epoch(val) [8][5060/6282] eta: 0:01:07 time: 0.0533 data_time: 0.0085 memory: 679 2022/12/03 13:27:27 - mmengine - INFO - Epoch(val) [8][5080/6282] eta: 0:01:06 time: 0.0528 data_time: 0.0098 memory: 679 2022/12/03 13:27:28 - mmengine - INFO - Epoch(val) [8][5100/6282] eta: 0:01:05 time: 0.0524 data_time: 0.0091 memory: 679 2022/12/03 13:27:29 - mmengine - INFO - Epoch(val) [8][5120/6282] eta: 0:01:04 time: 0.0536 data_time: 0.0077 memory: 679 2022/12/03 13:27:30 - mmengine - INFO - Epoch(val) [8][5140/6282] eta: 0:01:03 time: 0.0549 data_time: 0.0071 memory: 674 2022/12/03 13:27:31 - mmengine - INFO - Epoch(val) [8][5160/6282] eta: 0:01:02 time: 0.0553 data_time: 0.0078 memory: 674 2022/12/03 13:27:32 - mmengine - INFO - Epoch(val) [8][5180/6282] eta: 0:01:01 time: 0.0542 data_time: 0.0080 memory: 674 2022/12/03 13:27:34 - mmengine - INFO - Epoch(val) 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0:00:51 time: 0.0517 data_time: 0.0088 memory: 674 2022/12/03 13:27:43 - mmengine - INFO - Epoch(val) [8][5380/6282] eta: 0:00:49 time: 0.0546 data_time: 0.0100 memory: 674 2022/12/03 13:27:44 - mmengine - INFO - Epoch(val) [8][5400/6282] eta: 0:00:48 time: 0.0534 data_time: 0.0063 memory: 674 2022/12/03 13:27:45 - mmengine - INFO - Epoch(val) [8][5420/6282] eta: 0:00:47 time: 0.0496 data_time: 0.0070 memory: 674 2022/12/03 13:27:46 - mmengine - INFO - Epoch(val) [8][5440/6282] eta: 0:00:46 time: 0.0525 data_time: 0.0073 memory: 674 2022/12/03 13:27:47 - mmengine - INFO - Epoch(val) [8][5460/6282] eta: 0:00:45 time: 0.0519 data_time: 0.0079 memory: 674 2022/12/03 13:27:48 - mmengine - INFO - Epoch(val) [8][5480/6282] eta: 0:00:44 time: 0.0521 data_time: 0.0089 memory: 674 2022/12/03 13:27:50 - mmengine - INFO - Epoch(val) [8][5500/6282] eta: 0:00:43 time: 0.0538 data_time: 0.0085 memory: 674 2022/12/03 13:27:51 - mmengine - INFO - Epoch(val) [8][5520/6282] eta: 0:00:42 time: 0.0517 data_time: 0.0090 memory: 695 2022/12/03 13:27:52 - mmengine - INFO - Epoch(val) [8][5540/6282] eta: 0:00:41 time: 0.0542 data_time: 0.0086 memory: 695 2022/12/03 13:27:53 - mmengine - INFO - Epoch(val) [8][5560/6282] eta: 0:00:39 time: 0.0563 data_time: 0.0083 memory: 695 2022/12/03 13:27:54 - mmengine - INFO - Epoch(val) [8][5580/6282] eta: 0:00:38 time: 0.0596 data_time: 0.0085 memory: 695 2022/12/03 13:27:55 - mmengine - INFO - Epoch(val) [8][5600/6282] eta: 0:00:37 time: 0.0526 data_time: 0.0078 memory: 695 2022/12/03 13:27:56 - mmengine - INFO - Epoch(val) [8][5620/6282] eta: 0:00:36 time: 0.0558 data_time: 0.0074 memory: 695 2022/12/03 13:27:57 - mmengine - INFO - Epoch(val) [8][5640/6282] eta: 0:00:35 time: 0.0512 data_time: 0.0071 memory: 674 2022/12/03 13:27:58 - mmengine - INFO - Epoch(val) [8][5660/6282] eta: 0:00:34 time: 0.0535 data_time: 0.0099 memory: 674 2022/12/03 13:27:59 - mmengine - INFO - Epoch(val) [8][5680/6282] eta: 0:00:33 time: 0.0511 data_time: 0.0071 memory: 674 2022/12/03 13:28:00 - mmengine - INFO - Epoch(val) [8][5700/6282] eta: 0:00:32 time: 0.0542 data_time: 0.0075 memory: 674 2022/12/03 13:28:01 - mmengine - INFO - Epoch(val) [8][5720/6282] eta: 0:00:31 time: 0.0547 data_time: 0.0087 memory: 708 2022/12/03 13:28:03 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:29 time: 0.0560 data_time: 0.0098 memory: 708 2022/12/03 13:28:04 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:28 time: 0.0547 data_time: 0.0067 memory: 708 2022/12/03 13:28:05 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:27 time: 0.0529 data_time: 0.0076 memory: 708 2022/12/03 13:28:06 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:26 time: 0.0510 data_time: 0.0067 memory: 708 2022/12/03 13:28:07 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:25 time: 0.0561 data_time: 0.0074 memory: 708 2022/12/03 13:28:08 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:24 time: 0.0517 data_time: 0.0073 memory: 695 2022/12/03 13:28:09 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:23 time: 0.0517 data_time: 0.0076 memory: 695 2022/12/03 13:28:10 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:22 time: 0.0547 data_time: 0.0064 memory: 695 2022/12/03 13:28:11 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:21 time: 0.0524 data_time: 0.0062 memory: 695 2022/12/03 13:28:12 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:19 time: 0.0505 data_time: 0.0057 memory: 695 2022/12/03 13:28:13 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:18 time: 0.0472 data_time: 0.0049 memory: 674 2022/12/03 13:28:14 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:17 time: 0.0505 data_time: 0.0072 memory: 674 2022/12/03 13:28:15 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:16 time: 0.0506 data_time: 0.0074 memory: 674 2022/12/03 13:28:16 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:15 time: 0.0554 data_time: 0.0078 memory: 733 2022/12/03 13:28:17 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:14 time: 0.0547 data_time: 0.0065 memory: 733 2022/12/03 13:28:18 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:13 time: 0.0571 data_time: 0.0074 memory: 733 2022/12/03 13:28:20 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:12 time: 0.0570 data_time: 0.0087 memory: 733 2022/12/03 13:28:21 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:00:11 time: 0.0565 data_time: 0.0086 memory: 733 2022/12/03 13:28:22 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:10 time: 0.0573 data_time: 0.0077 memory: 733 2022/12/03 13:28:23 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:08 time: 0.0546 data_time: 0.0059 memory: 733 2022/12/03 13:28:24 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:07 time: 0.0586 data_time: 0.0090 memory: 733 2022/12/03 13:28:25 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:06 time: 0.0518 data_time: 0.0066 memory: 733 2022/12/03 13:28:26 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:05 time: 0.0522 data_time: 0.0070 memory: 733 2022/12/03 13:28:27 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:04 time: 0.0446 data_time: 0.0053 memory: 733 2022/12/03 13:28:28 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:03 time: 0.0430 data_time: 0.0037 memory: 733 2022/12/03 13:28:29 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:02 time: 0.0362 data_time: 0.0029 memory: 733 2022/12/03 13:28:29 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:01 time: 0.0352 data_time: 0.0021 memory: 733 2022/12/03 13:28:30 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0353 data_time: 0.0022 memory: 733 2022/12/03 13:32:53 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.2601 2022/12/03 13:33:00 - mmengine - INFO - Epoch(train) [9][ 20/4451] lr: 1.4585e-02 eta: 0:49:34 time: 0.3738 data_time: 0.0505 memory: 8510 grad_norm: 0.1668 loss: 0.0402 recall@thr=0.5: 0.3910 prec@thr=0.5: 0.5000 recall@top3: 0.6859 prec@top3: 0.4359 recall@top5: 0.8013 prec@top5: 0.3077 loss_action_cls: 0.0402 2022/12/03 13:33:07 - mmengine - INFO - Epoch(train) [9][ 40/4451] lr: 1.4523e-02 eta: 0:49:27 time: 0.3360 data_time: 0.0128 memory: 8510 grad_norm: 0.1731 loss: 0.0382 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7895 recall@top3: 0.8158 prec@top3: 0.4737 recall@top5: 0.8421 prec@top5: 0.2947 loss_action_cls: 0.0382 2022/12/03 13:33:14 - mmengine - INFO - Epoch(train) [9][ 60/4451] lr: 1.4461e-02 eta: 0:49:21 time: 0.3347 data_time: 0.0157 memory: 8510 grad_norm: 0.1779 loss: 0.0411 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.7955 recall@top3: 0.7992 prec@top3: 0.7727 recall@top5: 0.9470 prec@top5: 0.5455 loss_action_cls: 0.0411 2022/12/03 13:33:20 - mmengine - INFO - Epoch(train) [9][ 80/4451] lr: 1.4399e-02 eta: 0:49:14 time: 0.3350 data_time: 0.0153 memory: 8510 grad_norm: 0.1751 loss: 0.0402 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.6218 recall@top3: 0.7821 prec@top3: 0.6923 recall@top5: 0.9808 prec@top5: 0.5231 loss_action_cls: 0.0402 2022/12/03 13:33:27 - mmengine - INFO - Epoch(train) [9][ 100/4451] lr: 1.4337e-02 eta: 0:49:07 time: 0.3354 data_time: 0.0139 memory: 8510 grad_norm: 0.1724 loss: 0.0406 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0406 2022/12/03 13:33:34 - mmengine - INFO - Epoch(train) [9][ 120/4451] lr: 1.4275e-02 eta: 0:49:00 time: 0.3403 data_time: 0.0118 memory: 8510 grad_norm: 0.1696 loss: 0.0428 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7250 recall@top3: 0.7917 prec@top3: 0.6000 recall@top5: 0.9250 prec@top5: 0.4300 loss_action_cls: 0.0428 2022/12/03 13:33:41 - mmengine - INFO - Epoch(train) [9][ 140/4451] lr: 1.4214e-02 eta: 0:48:54 time: 0.3354 data_time: 0.0131 memory: 8510 grad_norm: 0.1833 loss: 0.0384 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.5556 recall@top3: 0.6975 prec@top3: 0.4198 recall@top5: 0.9136 prec@top5: 0.3407 loss_action_cls: 0.0384 2022/12/03 13:33:47 - mmengine - INFO - Epoch(train) [9][ 160/4451] lr: 1.4152e-02 eta: 0:48:47 time: 0.3346 data_time: 0.0165 memory: 8510 grad_norm: 0.1744 loss: 0.0443 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7716 recall@top3: 0.9753 prec@top3: 0.7037 recall@top5: 0.9753 prec@top5: 0.4222 loss_action_cls: 0.0443 2022/12/03 13:33:54 - mmengine - INFO - Epoch(train) [9][ 180/4451] lr: 1.4091e-02 eta: 0:48:40 time: 0.3361 data_time: 0.0130 memory: 8510 grad_norm: 0.1683 loss: 0.0402 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.6667 recall@top3: 0.9216 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.3647 loss_action_cls: 0.0402 2022/12/03 13:34:01 - mmengine - INFO - Epoch(train) [9][ 200/4451] lr: 1.4029e-02 eta: 0:48:34 time: 0.3325 data_time: 0.0139 memory: 8510 grad_norm: 0.1729 loss: 0.0421 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7368 recall@top3: 0.8114 prec@top3: 0.6316 recall@top5: 0.9123 prec@top5: 0.4316 loss_action_cls: 0.0421 2022/12/03 13:34:07 - mmengine - INFO - Epoch(train) [9][ 220/4451] lr: 1.3968e-02 eta: 0:48:27 time: 0.3369 data_time: 0.0127 memory: 8510 grad_norm: 0.1793 loss: 0.0409 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8854 recall@top3: 0.9062 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0409 2022/12/03 13:34:14 - mmengine - INFO - Epoch(train) [9][ 240/4451] lr: 1.3907e-02 eta: 0:48:20 time: 0.3348 data_time: 0.0124 memory: 8510 grad_norm: 0.1711 loss: 0.0380 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8016 recall@top3: 0.9603 prec@top3: 0.6190 recall@top5: 0.9841 prec@top5: 0.3810 loss_action_cls: 0.0380 2022/12/03 13:34:21 - mmengine - INFO - Epoch(train) [9][ 260/4451] lr: 1.3846e-02 eta: 0:48:14 time: 0.3341 data_time: 0.0128 memory: 8510 grad_norm: 0.1797 loss: 0.0397 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7273 recall@top3: 0.8295 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.4818 loss_action_cls: 0.0397 2022/12/03 13:34:27 - mmengine - INFO - Epoch(train) [9][ 280/4451] lr: 1.3785e-02 eta: 0:48:07 time: 0.3350 data_time: 0.0134 memory: 8510 grad_norm: 0.1761 loss: 0.0414 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.7652 recall@top3: 0.8220 prec@top3: 0.7121 recall@top5: 0.9508 prec@top5: 0.5000 loss_action_cls: 0.0414 2022/12/03 13:34:34 - mmengine - INFO - Epoch(train) [9][ 300/4451] lr: 1.3724e-02 eta: 0:48:00 time: 0.3370 data_time: 0.0136 memory: 8510 grad_norm: 0.1731 loss: 0.0360 recall@thr=0.5: 0.7275 prec@thr=0.5: 0.7990 recall@top3: 0.8010 prec@top3: 0.7059 recall@top5: 0.9314 prec@top5: 0.5294 loss_action_cls: 0.0360 2022/12/03 13:34:41 - mmengine - INFO - Epoch(train) [9][ 320/4451] lr: 1.3664e-02 eta: 0:47:53 time: 0.3326 data_time: 0.0118 memory: 8510 grad_norm: 0.1734 loss: 0.0404 recall@thr=0.5: 0.5468 prec@thr=0.5: 0.6474 recall@top3: 0.6263 prec@top3: 0.6667 recall@top5: 0.9038 prec@top5: 0.5615 loss_action_cls: 0.0404 2022/12/03 13:34:48 - mmengine - INFO - Epoch(train) [9][ 340/4451] lr: 1.3603e-02 eta: 0:47:47 time: 0.3347 data_time: 0.0125 memory: 8510 grad_norm: 0.1824 loss: 0.0382 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7273 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9318 prec@top5: 0.4545 loss_action_cls: 0.0382 2022/12/03 13:34:54 - mmengine - INFO - Epoch(train) [9][ 360/4451] lr: 1.3543e-02 eta: 0:47:40 time: 0.3340 data_time: 0.0132 memory: 8510 grad_norm: 0.1737 loss: 0.0414 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8278 recall@top3: 0.8944 prec@top3: 0.7556 recall@top5: 0.9667 prec@top5: 0.4933 loss_action_cls: 0.0414 2022/12/03 13:35:01 - mmengine - INFO - Epoch(train) [9][ 380/4451] lr: 1.3482e-02 eta: 0:47:33 time: 0.3363 data_time: 0.0140 memory: 8510 grad_norm: 0.1719 loss: 0.0442 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.7456 recall@top3: 0.8640 prec@top3: 0.6316 recall@top5: 0.9211 prec@top5: 0.4105 loss_action_cls: 0.0442 2022/12/03 13:35:05 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:35:08 - mmengine - INFO - Epoch(train) [9][ 400/4451] lr: 1.3422e-02 eta: 0:47:27 time: 0.3366 data_time: 0.0117 memory: 8510 grad_norm: 0.1690 loss: 0.0329 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8148 recall@top3: 0.9259 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0329 2022/12/03 13:35:14 - mmengine - INFO - Epoch(train) [9][ 420/4451] lr: 1.3362e-02 eta: 0:47:20 time: 0.3347 data_time: 0.0142 memory: 8510 grad_norm: 0.1736 loss: 0.0428 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.4615 recall@top3: 0.5897 prec@top3: 0.4615 recall@top5: 0.7436 prec@top5: 0.3385 loss_action_cls: 0.0428 2022/12/03 13:35:21 - mmengine - INFO - Epoch(train) [9][ 440/4451] lr: 1.3302e-02 eta: 0:47:13 time: 0.3336 data_time: 0.0134 memory: 8510 grad_norm: 0.1733 loss: 0.0359 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.7061 recall@top3: 0.8596 prec@top3: 0.6667 recall@top5: 0.9737 prec@top5: 0.4632 loss_action_cls: 0.0359 2022/12/03 13:35:28 - mmengine - INFO - Epoch(train) [9][ 460/4451] lr: 1.3242e-02 eta: 0:47:07 time: 0.3344 data_time: 0.0110 memory: 8510 grad_norm: 0.1754 loss: 0.0387 recall@thr=0.5: 0.6379 prec@thr=0.5: 0.7299 recall@top3: 0.7845 prec@top3: 0.6552 recall@top5: 0.9310 prec@top5: 0.4621 loss_action_cls: 0.0387 2022/12/03 13:35:34 - mmengine - INFO - Epoch(train) [9][ 480/4451] lr: 1.3183e-02 eta: 0:47:00 time: 0.3320 data_time: 0.0123 memory: 8510 grad_norm: 0.1747 loss: 0.0393 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.5965 recall@top3: 0.7982 prec@top3: 0.6316 recall@top5: 0.9298 prec@top5: 0.4632 loss_action_cls: 0.0393 2022/12/03 13:35:41 - mmengine - INFO - Epoch(train) [9][ 500/4451] lr: 1.3123e-02 eta: 0:46:53 time: 0.3351 data_time: 0.0135 memory: 8510 grad_norm: 0.1769 loss: 0.0398 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.6111 recall@top3: 0.6667 prec@top3: 0.5556 recall@top5: 0.8254 prec@top5: 0.4095 loss_action_cls: 0.0398 2022/12/03 13:35:48 - mmengine - INFO - Epoch(train) [9][ 520/4451] lr: 1.3063e-02 eta: 0:46:46 time: 0.3356 data_time: 0.0119 memory: 8510 grad_norm: 0.1705 loss: 0.0404 recall@thr=0.5: 0.5324 prec@thr=0.5: 0.6204 recall@top3: 0.7824 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.3889 loss_action_cls: 0.0404 2022/12/03 13:35:54 - mmengine - INFO - Epoch(train) [9][ 540/4451] lr: 1.3004e-02 eta: 0:46:40 time: 0.3341 data_time: 0.0136 memory: 8510 grad_norm: 0.1802 loss: 0.0368 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7619 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.8571 prec@top5: 0.3429 loss_action_cls: 0.0368 2022/12/03 13:36:01 - mmengine - INFO - Epoch(train) [9][ 560/4451] lr: 1.2945e-02 eta: 0:46:33 time: 0.3333 data_time: 0.0111 memory: 8510 grad_norm: 0.1748 loss: 0.0439 recall@thr=0.5: 0.5365 prec@thr=0.5: 0.6667 recall@top3: 0.7040 prec@top3: 0.6032 recall@top5: 0.8770 prec@top5: 0.4667 loss_action_cls: 0.0439 2022/12/03 13:36:08 - mmengine - INFO - Epoch(train) [9][ 580/4451] lr: 1.2885e-02 eta: 0:46:26 time: 0.3349 data_time: 0.0124 memory: 8510 grad_norm: 0.1788 loss: 0.0385 recall@thr=0.5: 0.7318 prec@thr=0.5: 0.8220 recall@top3: 0.7894 prec@top3: 0.6515 recall@top5: 0.9136 prec@top5: 0.4727 loss_action_cls: 0.0385 2022/12/03 13:36:15 - mmengine - INFO - Epoch(train) [9][ 600/4451] lr: 1.2826e-02 eta: 0:46:20 time: 0.3336 data_time: 0.0133 memory: 8510 grad_norm: 0.1790 loss: 0.0390 recall@thr=0.5: 0.6470 prec@thr=0.5: 0.8304 recall@top3: 0.7155 prec@top3: 0.7500 recall@top5: 0.9464 prec@top5: 0.5857 loss_action_cls: 0.0390 2022/12/03 13:36:21 - mmengine - INFO - Epoch(train) [9][ 620/4451] lr: 1.2767e-02 eta: 0:46:13 time: 0.3325 data_time: 0.0127 memory: 8510 grad_norm: 0.1797 loss: 0.0391 recall@thr=0.5: 0.6619 prec@thr=0.5: 0.7143 recall@top3: 0.7524 prec@top3: 0.6032 recall@top5: 0.9000 prec@top5: 0.4667 loss_action_cls: 0.0391 2022/12/03 13:36:28 - mmengine - INFO - Epoch(train) [9][ 640/4451] lr: 1.2709e-02 eta: 0:46:06 time: 0.3360 data_time: 0.0115 memory: 8510 grad_norm: 0.1748 loss: 0.0385 recall@thr=0.5: 0.8208 prec@thr=0.5: 0.8333 recall@top3: 0.8417 prec@top3: 0.7667 recall@top5: 0.9042 prec@top5: 0.5100 loss_action_cls: 0.0385 2022/12/03 13:36:35 - mmengine - INFO - Epoch(train) [9][ 660/4451] lr: 1.2650e-02 eta: 0:46:00 time: 0.3341 data_time: 0.0149 memory: 8510 grad_norm: 0.1808 loss: 0.0374 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.8913 recall@top3: 0.9130 prec@top3: 0.6377 recall@top5: 1.0000 prec@top5: 0.4087 loss_action_cls: 0.0374 2022/12/03 13:36:41 - mmengine - INFO - Epoch(train) [9][ 680/4451] lr: 1.2591e-02 eta: 0:45:53 time: 0.3348 data_time: 0.0119 memory: 8510 grad_norm: 0.1753 loss: 0.0380 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.7255 recall@top3: 0.8333 prec@top3: 0.6471 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0380 2022/12/03 13:36:48 - mmengine - INFO - Epoch(train) [9][ 700/4451] lr: 1.2533e-02 eta: 0:45:46 time: 0.3362 data_time: 0.0124 memory: 8510 grad_norm: 0.1752 loss: 0.0391 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8137 recall@top3: 0.8676 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4471 loss_action_cls: 0.0391 2022/12/03 13:36:55 - mmengine - INFO - Epoch(train) [9][ 720/4451] lr: 1.2474e-02 eta: 0:45:39 time: 0.3338 data_time: 0.0135 memory: 8510 grad_norm: 0.1693 loss: 0.0382 recall@thr=0.5: 0.3968 prec@thr=0.5: 0.5159 recall@top3: 0.7540 prec@top3: 0.4921 recall@top5: 0.9444 prec@top5: 0.3810 loss_action_cls: 0.0382 2022/12/03 13:37:01 - mmengine - INFO - Epoch(train) [9][ 740/4451] lr: 1.2416e-02 eta: 0:45:33 time: 0.3334 data_time: 0.0122 memory: 8510 grad_norm: 0.1738 loss: 0.0396 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.5842 recall@top3: 0.7982 prec@top3: 0.4386 recall@top5: 0.9079 prec@top5: 0.3263 loss_action_cls: 0.0396 2022/12/03 13:37:08 - mmengine - INFO - Epoch(train) [9][ 760/4451] lr: 1.2358e-02 eta: 0:45:26 time: 0.3340 data_time: 0.0130 memory: 8510 grad_norm: 0.1792 loss: 0.0411 recall@thr=0.5: 0.6012 prec@thr=0.5: 0.7744 recall@top3: 0.8458 prec@top3: 0.7024 recall@top5: 0.8929 prec@top5: 0.4571 loss_action_cls: 0.0411 2022/12/03 13:37:15 - mmengine - INFO - Epoch(train) [9][ 780/4451] lr: 1.2300e-02 eta: 0:45:19 time: 0.3346 data_time: 0.0135 memory: 8510 grad_norm: 0.1806 loss: 0.0346 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7975 recall@top3: 0.7623 prec@top3: 0.6543 recall@top5: 0.9259 prec@top5: 0.4889 loss_action_cls: 0.0346 2022/12/03 13:37:21 - mmengine - INFO - Epoch(train) [9][ 800/4451] lr: 1.2242e-02 eta: 0:45:13 time: 0.3361 data_time: 0.0138 memory: 8510 grad_norm: 0.1770 loss: 0.0370 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.8125 recall@top3: 0.9115 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0370 2022/12/03 13:37:28 - mmengine - INFO - Epoch(train) [9][ 820/4451] lr: 1.2184e-02 eta: 0:45:06 time: 0.3344 data_time: 0.0157 memory: 8510 grad_norm: 0.1741 loss: 0.0424 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8333 recall@top3: 0.8258 prec@top3: 0.6667 recall@top5: 0.9773 prec@top5: 0.4636 loss_action_cls: 0.0424 2022/12/03 13:37:35 - mmengine - INFO - Epoch(train) [9][ 840/4451] lr: 1.2127e-02 eta: 0:44:59 time: 0.3326 data_time: 0.0131 memory: 8510 grad_norm: 0.1802 loss: 0.0432 recall@thr=0.5: 0.6131 prec@thr=0.5: 0.7857 recall@top3: 0.8929 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4571 loss_action_cls: 0.0432 2022/12/03 13:37:42 - mmengine - INFO - Epoch(train) [9][ 860/4451] lr: 1.2069e-02 eta: 0:44:53 time: 0.3358 data_time: 0.0116 memory: 8510 grad_norm: 0.1725 loss: 0.0398 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7500 recall@top3: 0.9000 prec@top3: 0.7333 recall@top5: 0.9833 prec@top5: 0.4900 loss_action_cls: 0.0398 2022/12/03 13:37:48 - mmengine - INFO - Epoch(train) [9][ 880/4451] lr: 1.2012e-02 eta: 0:44:46 time: 0.3341 data_time: 0.0148 memory: 8510 grad_norm: 0.1798 loss: 0.0383 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.9333 recall@top3: 0.9556 prec@top3: 0.7111 recall@top5: 0.9778 prec@top5: 0.4400 loss_action_cls: 0.0383 2022/12/03 13:37:55 - mmengine - INFO - Epoch(train) [9][ 900/4451] lr: 1.1955e-02 eta: 0:44:39 time: 0.3332 data_time: 0.0126 memory: 8510 grad_norm: 0.1702 loss: 0.0417 recall@thr=0.5: 0.4653 prec@thr=0.5: 0.5556 recall@top3: 0.7181 prec@top3: 0.5972 recall@top5: 0.8514 prec@top5: 0.4250 loss_action_cls: 0.0417 2022/12/03 13:38:02 - mmengine - INFO - Epoch(train) [9][ 920/4451] lr: 1.1897e-02 eta: 0:44:32 time: 0.3344 data_time: 0.0124 memory: 8510 grad_norm: 0.1727 loss: 0.0452 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.7045 recall@top3: 0.7689 prec@top3: 0.6061 recall@top5: 0.9848 prec@top5: 0.4545 loss_action_cls: 0.0452 2022/12/03 13:38:08 - mmengine - INFO - Epoch(train) [9][ 940/4451] lr: 1.1840e-02 eta: 0:44:26 time: 0.3331 data_time: 0.0127 memory: 8510 grad_norm: 0.1829 loss: 0.0439 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.7348 recall@top3: 0.8144 prec@top3: 0.5000 recall@top5: 0.8864 prec@top5: 0.3364 loss_action_cls: 0.0439 2022/12/03 13:38:15 - mmengine - INFO - Epoch(train) [9][ 960/4451] lr: 1.1783e-02 eta: 0:44:19 time: 0.3328 data_time: 0.0120 memory: 8510 grad_norm: 0.1763 loss: 0.0396 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.7611 recall@top3: 0.8139 prec@top3: 0.7111 recall@top5: 0.9583 prec@top5: 0.5200 loss_action_cls: 0.0396 2022/12/03 13:38:22 - mmengine - INFO - Epoch(train) [9][ 980/4451] lr: 1.1726e-02 eta: 0:44:12 time: 0.3321 data_time: 0.0129 memory: 8510 grad_norm: 0.1794 loss: 0.0387 recall@thr=0.5: 0.7017 prec@thr=0.5: 0.7200 recall@top3: 0.7767 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.4900 loss_action_cls: 0.0387 2022/12/03 13:38:28 - mmengine - INFO - Epoch(train) [9][1000/4451] lr: 1.1670e-02 eta: 0:44:06 time: 0.3322 data_time: 0.0171 memory: 8510 grad_norm: 0.1725 loss: 0.0401 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5750 recall@top3: 0.5500 prec@top3: 0.4500 recall@top5: 0.9500 prec@top5: 0.3800 loss_action_cls: 0.0401 2022/12/03 13:38:35 - mmengine - INFO - Epoch(train) [9][1020/4451] lr: 1.1613e-02 eta: 0:43:59 time: 0.3357 data_time: 0.0112 memory: 8510 grad_norm: 0.1738 loss: 0.0414 recall@thr=0.5: 0.7067 prec@thr=0.5: 0.7917 recall@top3: 0.8100 prec@top3: 0.7333 recall@top5: 0.9633 prec@top5: 0.5000 loss_action_cls: 0.0414 2022/12/03 13:38:42 - mmengine - INFO - Epoch(train) [9][1040/4451] lr: 1.1557e-02 eta: 0:43:52 time: 0.3348 data_time: 0.0153 memory: 8510 grad_norm: 0.1787 loss: 0.0401 recall@thr=0.5: 0.4867 prec@thr=0.5: 0.5933 recall@top3: 0.7633 prec@top3: 0.6667 recall@top5: 0.8533 prec@top5: 0.4560 loss_action_cls: 0.0401 2022/12/03 13:38:48 - mmengine - INFO - Epoch(train) [9][1060/4451] lr: 1.1500e-02 eta: 0:43:46 time: 0.3357 data_time: 0.0120 memory: 8510 grad_norm: 0.1699 loss: 0.0351 recall@thr=0.5: 0.8202 prec@thr=0.5: 0.8816 recall@top3: 0.8158 prec@top3: 0.6491 recall@top5: 0.9868 prec@top5: 0.5053 loss_action_cls: 0.0351 2022/12/03 13:38:55 - mmengine - INFO - Epoch(train) [9][1080/4451] lr: 1.1444e-02 eta: 0:43:39 time: 0.3361 data_time: 0.0127 memory: 8510 grad_norm: 0.1735 loss: 0.0394 recall@thr=0.5: 0.8289 prec@thr=0.5: 0.7640 recall@top3: 0.8421 prec@top3: 0.6667 recall@top5: 0.9342 prec@top5: 0.4421 loss_action_cls: 0.0394 2022/12/03 13:39:02 - mmengine - INFO - Epoch(train) [9][1100/4451] lr: 1.1388e-02 eta: 0:43:32 time: 0.3349 data_time: 0.0128 memory: 8510 grad_norm: 0.1729 loss: 0.0398 recall@thr=0.5: 0.6580 prec@thr=0.5: 0.6983 recall@top3: 0.7730 prec@top3: 0.6322 recall@top5: 0.9310 prec@top5: 0.4621 loss_action_cls: 0.0398 2022/12/03 13:39:08 - mmengine - INFO - Epoch(train) [9][1120/4451] lr: 1.1332e-02 eta: 0:43:25 time: 0.3317 data_time: 0.0132 memory: 8510 grad_norm: 0.1729 loss: 0.0354 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.9062 recall@top3: 0.8333 prec@top3: 0.7500 recall@top5: 0.9635 prec@top5: 0.5375 loss_action_cls: 0.0354 2022/12/03 13:39:15 - mmengine - INFO - Epoch(train) [9][1140/4451] lr: 1.1276e-02 eta: 0:43:19 time: 0.3339 data_time: 0.0131 memory: 8510 grad_norm: 0.1767 loss: 0.0432 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.5500 recall@top3: 0.8833 prec@top3: 0.6000 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0432 2022/12/03 13:39:22 - mmengine - INFO - Epoch(train) [9][1160/4451] lr: 1.1220e-02 eta: 0:43:12 time: 0.3319 data_time: 0.0125 memory: 8510 grad_norm: 0.1766 loss: 0.0384 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6833 recall@top3: 0.7083 prec@top3: 0.6333 recall@top5: 0.8167 prec@top5: 0.4500 loss_action_cls: 0.0384 2022/12/03 13:39:28 - mmengine - INFO - Epoch(train) [9][1180/4451] lr: 1.1165e-02 eta: 0:43:05 time: 0.3341 data_time: 0.0123 memory: 8510 grad_norm: 0.1765 loss: 0.0372 recall@thr=0.5: 0.7867 prec@thr=0.5: 0.7933 recall@top3: 0.9067 prec@top3: 0.6667 recall@top5: 0.9600 prec@top5: 0.4240 loss_action_cls: 0.0372 2022/12/03 13:39:35 - mmengine - INFO - Epoch(train) [9][1200/4451] lr: 1.1109e-02 eta: 0:42:59 time: 0.3340 data_time: 0.0135 memory: 8510 grad_norm: 0.1718 loss: 0.0383 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7826 recall@top3: 0.7623 prec@top3: 0.7246 recall@top5: 0.8261 prec@top5: 0.4870 loss_action_cls: 0.0383 2022/12/03 13:39:42 - mmengine - INFO - Epoch(train) [9][1220/4451] lr: 1.1054e-02 eta: 0:42:52 time: 0.3346 data_time: 0.0144 memory: 8510 grad_norm: 0.1807 loss: 0.0394 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.3462 recall@top3: 0.6154 prec@top3: 0.2821 recall@top5: 0.7308 prec@top5: 0.2154 loss_action_cls: 0.0394 2022/12/03 13:39:48 - mmengine - INFO - Epoch(train) [9][1240/4451] lr: 1.0999e-02 eta: 0:42:45 time: 0.3338 data_time: 0.0137 memory: 8510 grad_norm: 0.1805 loss: 0.0380 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7719 recall@top3: 0.8482 prec@top3: 0.6842 recall@top5: 0.9175 prec@top5: 0.4632 loss_action_cls: 0.0380 2022/12/03 13:39:55 - mmengine - INFO - Epoch(train) [9][1260/4451] lr: 1.0943e-02 eta: 0:42:39 time: 0.3348 data_time: 0.0151 memory: 8510 grad_norm: 0.1823 loss: 0.0399 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8750 recall@top3: 0.9479 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.3875 loss_action_cls: 0.0399 2022/12/03 13:40:02 - mmengine - INFO - Epoch(train) [9][1280/4451] lr: 1.0888e-02 eta: 0:42:32 time: 0.3353 data_time: 0.0148 memory: 8510 grad_norm: 0.1765 loss: 0.0375 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.4902 recall@top3: 0.8431 prec@top3: 0.4902 recall@top5: 0.9608 prec@top5: 0.3176 loss_action_cls: 0.0375 2022/12/03 13:40:08 - mmengine - INFO - Epoch(train) [9][1300/4451] lr: 1.0833e-02 eta: 0:42:25 time: 0.3335 data_time: 0.0135 memory: 8510 grad_norm: 0.1802 loss: 0.0400 recall@thr=0.5: 0.4891 prec@thr=0.5: 0.5725 recall@top3: 0.6920 prec@top3: 0.4783 recall@top5: 0.8768 prec@top5: 0.3826 loss_action_cls: 0.0400 2022/12/03 13:40:15 - mmengine - INFO - Epoch(train) [9][1320/4451] lr: 1.0779e-02 eta: 0:42:18 time: 0.3331 data_time: 0.0122 memory: 8510 grad_norm: 0.1784 loss: 0.0369 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7593 recall@top3: 0.9167 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.3667 loss_action_cls: 0.0369 2022/12/03 13:40:22 - mmengine - INFO - Epoch(train) [9][1340/4451] lr: 1.0724e-02 eta: 0:42:12 time: 0.3329 data_time: 0.0116 memory: 8510 grad_norm: 0.1813 loss: 0.0366 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.6032 recall@top5: 1.0000 prec@top5: 0.4476 loss_action_cls: 0.0366 2022/12/03 13:40:28 - mmengine - INFO - Epoch(train) [9][1360/4451] lr: 1.0670e-02 eta: 0:42:05 time: 0.3319 data_time: 0.0144 memory: 8510 grad_norm: 0.1800 loss: 0.0365 recall@thr=0.5: 0.5128 prec@thr=0.5: 0.6795 recall@top3: 0.7821 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4615 loss_action_cls: 0.0365 2022/12/03 13:40:35 - mmengine - INFO - Epoch(train) [9][1380/4451] lr: 1.0615e-02 eta: 0:41:58 time: 0.3345 data_time: 0.0174 memory: 8510 grad_norm: 0.1764 loss: 0.0395 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7402 recall@top3: 0.8725 prec@top3: 0.5294 recall@top5: 0.9118 prec@top5: 0.3412 loss_action_cls: 0.0395 2022/12/03 13:40:39 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:40:42 - mmengine - INFO - Epoch(train) [9][1400/4451] lr: 1.0561e-02 eta: 0:41:52 time: 0.3348 data_time: 0.0133 memory: 8510 grad_norm: 0.1791 loss: 0.0386 recall@thr=0.5: 0.9107 prec@thr=0.5: 0.9583 recall@top3: 0.9643 prec@top3: 0.6905 recall@top5: 0.9821 prec@top5: 0.4286 loss_action_cls: 0.0386 2022/12/03 13:40:48 - mmengine - INFO - Epoch(train) [9][1420/4451] lr: 1.0507e-02 eta: 0:41:45 time: 0.3331 data_time: 0.0126 memory: 8510 grad_norm: 0.1797 loss: 0.0370 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8889 recall@top3: 0.9167 prec@top3: 0.5556 recall@top5: 0.9630 prec@top5: 0.3667 loss_action_cls: 0.0370 2022/12/03 13:40:55 - mmengine - INFO - Epoch(train) [9][1440/4451] lr: 1.0453e-02 eta: 0:41:38 time: 0.3348 data_time: 0.0130 memory: 8510 grad_norm: 0.1790 loss: 0.0371 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8654 recall@top3: 0.9231 prec@top3: 0.6538 recall@top5: 0.9327 prec@top5: 0.4000 loss_action_cls: 0.0371 2022/12/03 13:41:02 - mmengine - INFO - Epoch(train) [9][1460/4451] lr: 1.0399e-02 eta: 0:41:32 time: 0.3357 data_time: 0.0123 memory: 8510 grad_norm: 0.1788 loss: 0.0403 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6865 recall@top3: 0.8492 prec@top3: 0.7302 recall@top5: 0.9722 prec@top5: 0.5238 loss_action_cls: 0.0403 2022/12/03 13:41:09 - mmengine - INFO - Epoch(train) [9][1480/4451] lr: 1.0345e-02 eta: 0:41:25 time: 0.3333 data_time: 0.0123 memory: 8510 grad_norm: 0.1900 loss: 0.0421 recall@thr=0.5: 0.8553 prec@thr=0.5: 0.8509 recall@top3: 0.8553 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0421 2022/12/03 13:41:15 - mmengine - INFO - Epoch(train) [9][1500/4451] lr: 1.0291e-02 eta: 0:41:18 time: 0.3341 data_time: 0.0125 memory: 8510 grad_norm: 0.1813 loss: 0.0407 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8667 recall@top3: 0.8444 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.3867 loss_action_cls: 0.0407 2022/12/03 13:41:22 - mmengine - INFO - Epoch(train) [9][1520/4451] lr: 1.0238e-02 eta: 0:41:11 time: 0.3356 data_time: 0.0159 memory: 8510 grad_norm: 0.1793 loss: 0.0398 recall@thr=0.5: 0.7290 prec@thr=0.5: 0.7500 recall@top3: 0.8688 prec@top3: 0.7419 recall@top5: 0.9371 prec@top5: 0.4903 loss_action_cls: 0.0398 2022/12/03 13:41:29 - mmengine - INFO - Epoch(train) [9][1540/4451] lr: 1.0184e-02 eta: 0:41:05 time: 0.3343 data_time: 0.0149 memory: 8510 grad_norm: 0.1818 loss: 0.0420 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8167 recall@top3: 0.8889 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5417 loss_action_cls: 0.0420 2022/12/03 13:41:35 - mmengine - INFO - Epoch(train) [9][1560/4451] lr: 1.0131e-02 eta: 0:40:58 time: 0.3354 data_time: 0.0156 memory: 8510 grad_norm: 0.1804 loss: 0.0416 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7267 recall@top3: 0.8200 prec@top3: 0.6667 recall@top5: 0.8867 prec@top5: 0.4480 loss_action_cls: 0.0416 2022/12/03 13:41:42 - mmengine - INFO - Epoch(train) [9][1580/4451] lr: 1.0078e-02 eta: 0:40:51 time: 0.3342 data_time: 0.0118 memory: 8510 grad_norm: 0.1788 loss: 0.0387 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7500 recall@top3: 0.9762 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.3429 loss_action_cls: 0.0387 2022/12/03 13:41:49 - mmengine - INFO - Epoch(train) [9][1600/4451] lr: 1.0025e-02 eta: 0:40:45 time: 0.3340 data_time: 0.0142 memory: 8510 grad_norm: 0.1772 loss: 0.0375 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7667 recall@top3: 0.8889 prec@top3: 0.5778 recall@top5: 0.9222 prec@top5: 0.3600 loss_action_cls: 0.0375 2022/12/03 13:41:55 - mmengine - INFO - Epoch(train) [9][1620/4451] lr: 9.9717e-03 eta: 0:40:38 time: 0.3336 data_time: 0.0133 memory: 8510 grad_norm: 0.1759 loss: 0.0400 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.6535 recall@top3: 0.7281 prec@top3: 0.5439 recall@top5: 0.8772 prec@top5: 0.4211 loss_action_cls: 0.0400 2022/12/03 13:42:02 - mmengine - INFO - Epoch(train) [9][1640/4451] lr: 9.9189e-03 eta: 0:40:31 time: 0.3347 data_time: 0.0137 memory: 8510 grad_norm: 0.1686 loss: 0.0386 recall@thr=0.5: 0.6215 prec@thr=0.5: 0.7118 recall@top3: 0.8160 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0386 2022/12/03 13:42:09 - mmengine - INFO - Epoch(train) [9][1660/4451] lr: 9.8662e-03 eta: 0:40:25 time: 0.3347 data_time: 0.0131 memory: 8510 grad_norm: 0.1771 loss: 0.0433 recall@thr=0.5: 0.6235 prec@thr=0.5: 0.7451 recall@top3: 0.7618 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.5647 loss_action_cls: 0.0433 2022/12/03 13:42:16 - mmengine - INFO - Epoch(train) [9][1680/4451] lr: 9.8137e-03 eta: 0:40:18 time: 0.3360 data_time: 0.0125 memory: 8510 grad_norm: 0.1789 loss: 0.0370 recall@thr=0.5: 0.6790 prec@thr=0.5: 0.7464 recall@top3: 0.6986 prec@top3: 0.7681 recall@top5: 0.9167 prec@top5: 0.6261 loss_action_cls: 0.0370 2022/12/03 13:42:22 - mmengine - INFO - Epoch(train) [9][1700/4451] lr: 9.7613e-03 eta: 0:40:11 time: 0.3340 data_time: 0.0144 memory: 8510 grad_norm: 0.1851 loss: 0.0410 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.7754 recall@top3: 0.8623 prec@top3: 0.6667 recall@top5: 0.9493 prec@top5: 0.4435 loss_action_cls: 0.0410 2022/12/03 13:42:29 - mmengine - INFO - Epoch(train) [9][1720/4451] lr: 9.7089e-03 eta: 0:40:04 time: 0.3343 data_time: 0.0144 memory: 8510 grad_norm: 0.1794 loss: 0.0373 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7639 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.5000 loss_action_cls: 0.0373 2022/12/03 13:42:36 - mmengine - INFO - Epoch(train) [9][1740/4451] lr: 9.6568e-03 eta: 0:39:58 time: 0.3341 data_time: 0.0113 memory: 8510 grad_norm: 0.1766 loss: 0.0414 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6111 recall@top3: 0.8148 prec@top3: 0.5926 recall@top5: 0.9352 prec@top5: 0.4333 loss_action_cls: 0.0414 2022/12/03 13:42:42 - mmengine - INFO - Epoch(train) [9][1760/4451] lr: 9.6047e-03 eta: 0:39:51 time: 0.3342 data_time: 0.0127 memory: 8510 grad_norm: 0.1793 loss: 0.0416 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.7000 recall@top3: 0.6222 prec@top3: 0.4667 recall@top5: 0.8111 prec@top5: 0.3867 loss_action_cls: 0.0416 2022/12/03 13:42:49 - mmengine - INFO - Epoch(train) [9][1780/4451] lr: 9.5528e-03 eta: 0:39:44 time: 0.3380 data_time: 0.0134 memory: 8510 grad_norm: 0.1803 loss: 0.0389 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6111 recall@top3: 0.8214 prec@top3: 0.6190 recall@top5: 0.9127 prec@top5: 0.4190 loss_action_cls: 0.0389 2022/12/03 13:42:56 - mmengine - INFO - Epoch(train) [9][1800/4451] lr: 9.5010e-03 eta: 0:39:38 time: 0.3323 data_time: 0.0117 memory: 8510 grad_norm: 0.1674 loss: 0.0410 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.5196 recall@top3: 0.6471 prec@top3: 0.4314 recall@top5: 0.8529 prec@top5: 0.3412 loss_action_cls: 0.0410 2022/12/03 13:43:02 - mmengine - INFO - Epoch(train) [9][1820/4451] lr: 9.4493e-03 eta: 0:39:31 time: 0.3335 data_time: 0.0156 memory: 8510 grad_norm: 0.1799 loss: 0.0408 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.6842 recall@top3: 0.8684 prec@top3: 0.6316 recall@top5: 0.9211 prec@top5: 0.4105 loss_action_cls: 0.0408 2022/12/03 13:43:09 - mmengine - INFO - Epoch(train) [9][1840/4451] lr: 9.3977e-03 eta: 0:39:24 time: 0.3353 data_time: 0.0116 memory: 8510 grad_norm: 0.1760 loss: 0.0389 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.6400 recall@top3: 0.8933 prec@top3: 0.5067 recall@top5: 0.9600 prec@top5: 0.3440 loss_action_cls: 0.0389 2022/12/03 13:43:16 - mmengine - INFO - Epoch(train) [9][1860/4451] lr: 9.3463e-03 eta: 0:39:18 time: 0.3334 data_time: 0.0134 memory: 8510 grad_norm: 0.1748 loss: 0.0387 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7569 recall@top3: 0.7812 prec@top3: 0.6389 recall@top5: 0.8750 prec@top5: 0.4417 loss_action_cls: 0.0387 2022/12/03 13:43:22 - mmengine - INFO - Epoch(train) [9][1880/4451] lr: 9.2950e-03 eta: 0:39:11 time: 0.3367 data_time: 0.0119 memory: 8510 grad_norm: 0.1783 loss: 0.0385 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6250 recall@top3: 0.7500 prec@top3: 0.5208 recall@top5: 0.8438 prec@top5: 0.3375 loss_action_cls: 0.0385 2022/12/03 13:43:29 - mmengine - INFO - Epoch(train) [9][1900/4451] lr: 9.2438e-03 eta: 0:39:04 time: 0.3332 data_time: 0.0138 memory: 8510 grad_norm: 0.1787 loss: 0.0369 recall@thr=0.5: 0.4638 prec@thr=0.5: 0.5217 recall@top3: 0.8225 prec@top3: 0.5362 recall@top5: 0.8804 prec@top5: 0.3565 loss_action_cls: 0.0369 2022/12/03 13:43:36 - mmengine - INFO - Epoch(train) [9][1920/4451] lr: 9.1928e-03 eta: 0:38:57 time: 0.3340 data_time: 0.0146 memory: 8510 grad_norm: 0.1769 loss: 0.0372 recall@thr=0.5: 0.8264 prec@thr=0.5: 0.9306 recall@top3: 0.8819 prec@top3: 0.8194 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0372 2022/12/03 13:43:42 - mmengine - INFO - Epoch(train) [9][1940/4451] lr: 9.1419e-03 eta: 0:38:51 time: 0.3339 data_time: 0.0122 memory: 8510 grad_norm: 0.1796 loss: 0.0407 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.8583 recall@top3: 0.7808 prec@top3: 0.6333 recall@top5: 0.9100 prec@top5: 0.4700 loss_action_cls: 0.0407 2022/12/03 13:43:49 - mmengine - INFO - Epoch(train) [9][1960/4451] lr: 9.0911e-03 eta: 0:38:44 time: 0.3358 data_time: 0.0116 memory: 8510 grad_norm: 0.1758 loss: 0.0409 recall@thr=0.5: 0.5060 prec@thr=0.5: 0.6786 recall@top3: 0.9286 prec@top3: 0.5714 recall@top5: 0.9643 prec@top5: 0.3714 loss_action_cls: 0.0409 2022/12/03 13:43:56 - mmengine - INFO - Epoch(train) [9][1980/4451] lr: 9.0404e-03 eta: 0:38:37 time: 0.3359 data_time: 0.0135 memory: 8510 grad_norm: 0.1851 loss: 0.0416 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.6875 recall@top3: 0.7951 prec@top3: 0.5417 recall@top5: 0.9306 prec@top5: 0.4000 loss_action_cls: 0.0416 2022/12/03 13:44:03 - mmengine - INFO - Epoch(train) [9][2000/4451] lr: 8.9899e-03 eta: 0:38:31 time: 0.3356 data_time: 0.0166 memory: 8510 grad_norm: 0.1751 loss: 0.0350 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8437 recall@top3: 0.8229 prec@top3: 0.7083 recall@top5: 0.9479 prec@top5: 0.4875 loss_action_cls: 0.0350 2022/12/03 13:44:09 - mmengine - INFO - Epoch(train) [9][2020/4451] lr: 8.9395e-03 eta: 0:38:24 time: 0.3344 data_time: 0.0128 memory: 8510 grad_norm: 0.1735 loss: 0.0386 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.6795 recall@top3: 0.8077 prec@top3: 0.4872 recall@top5: 0.9231 prec@top5: 0.3154 loss_action_cls: 0.0386 2022/12/03 13:44:16 - mmengine - INFO - Epoch(train) [9][2040/4451] lr: 8.8892e-03 eta: 0:38:17 time: 0.3350 data_time: 0.0147 memory: 8510 grad_norm: 0.1824 loss: 0.0397 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7542 recall@top3: 0.8792 prec@top3: 0.6833 recall@top5: 0.9583 prec@top5: 0.4600 loss_action_cls: 0.0397 2022/12/03 13:44:23 - mmengine - INFO - Epoch(train) [9][2060/4451] lr: 8.8391e-03 eta: 0:38:11 time: 0.3353 data_time: 0.0110 memory: 8510 grad_norm: 0.1773 loss: 0.0397 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.7754 recall@top3: 0.8768 prec@top3: 0.7971 recall@top5: 0.9783 prec@top5: 0.5304 loss_action_cls: 0.0397 2022/12/03 13:44:29 - mmengine - INFO - Epoch(train) [9][2080/4451] lr: 8.7890e-03 eta: 0:38:04 time: 0.3358 data_time: 0.0122 memory: 8510 grad_norm: 0.1746 loss: 0.0353 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.7971 recall@top3: 0.8043 prec@top3: 0.5797 recall@top5: 0.9855 prec@top5: 0.4348 loss_action_cls: 0.0353 2022/12/03 13:44:36 - mmengine - INFO - Epoch(train) [9][2100/4451] lr: 8.7391e-03 eta: 0:37:57 time: 0.3341 data_time: 0.0113 memory: 8510 grad_norm: 0.1753 loss: 0.0377 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.8519 recall@top3: 0.7731 prec@top3: 0.6481 recall@top5: 0.9676 prec@top5: 0.4889 loss_action_cls: 0.0377 2022/12/03 13:44:43 - mmengine - INFO - Epoch(train) [9][2120/4451] lr: 8.6894e-03 eta: 0:37:51 time: 0.3331 data_time: 0.0131 memory: 8510 grad_norm: 0.1763 loss: 0.0431 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7130 recall@top3: 0.9259 prec@top3: 0.6481 recall@top5: 0.9630 prec@top5: 0.4111 loss_action_cls: 0.0431 2022/12/03 13:44:49 - mmengine - INFO - Epoch(train) [9][2140/4451] lr: 8.6397e-03 eta: 0:37:44 time: 0.3346 data_time: 0.0135 memory: 8510 grad_norm: 0.1806 loss: 0.0384 recall@thr=0.5: 0.7538 prec@thr=0.5: 0.7652 recall@top3: 0.8902 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.4091 loss_action_cls: 0.0384 2022/12/03 13:44:56 - mmengine - INFO - Epoch(train) [9][2160/4451] lr: 8.5902e-03 eta: 0:37:37 time: 0.3349 data_time: 0.0116 memory: 8510 grad_norm: 0.1704 loss: 0.0399 recall@thr=0.5: 0.4653 prec@thr=0.5: 0.5625 recall@top3: 0.7361 prec@top3: 0.4583 recall@top5: 0.8681 prec@top5: 0.3583 loss_action_cls: 0.0399 2022/12/03 13:45:03 - mmengine - INFO - Epoch(train) [9][2180/4451] lr: 8.5408e-03 eta: 0:37:30 time: 0.3393 data_time: 0.0123 memory: 8510 grad_norm: 0.1780 loss: 0.0388 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.6304 recall@top3: 0.7464 prec@top3: 0.5362 recall@top5: 0.8623 prec@top5: 0.3652 loss_action_cls: 0.0388 2022/12/03 13:45:10 - mmengine - INFO - Epoch(train) [9][2200/4451] lr: 8.4916e-03 eta: 0:37:24 time: 0.3347 data_time: 0.0136 memory: 8510 grad_norm: 0.1704 loss: 0.0393 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7500 recall@top3: 0.8030 prec@top3: 0.6818 recall@top5: 0.9318 prec@top5: 0.5000 loss_action_cls: 0.0393 2022/12/03 13:45:16 - mmengine - INFO - Epoch(train) [9][2220/4451] lr: 8.4425e-03 eta: 0:37:17 time: 0.3341 data_time: 0.0123 memory: 8510 grad_norm: 0.1760 loss: 0.0389 recall@thr=0.5: 0.4957 prec@thr=0.5: 0.5652 recall@top3: 0.8645 prec@top3: 0.6522 recall@top5: 0.8993 prec@top5: 0.4261 loss_action_cls: 0.0389 2022/12/03 13:45:23 - mmengine - INFO - Epoch(train) [9][2240/4451] lr: 8.3935e-03 eta: 0:37:10 time: 0.3339 data_time: 0.0115 memory: 8510 grad_norm: 0.1773 loss: 0.0368 recall@thr=0.5: 0.5306 prec@thr=0.5: 0.5667 recall@top3: 0.7611 prec@top3: 0.6667 recall@top5: 0.9083 prec@top5: 0.4867 loss_action_cls: 0.0368 2022/12/03 13:45:30 - mmengine - INFO - Epoch(train) [9][2260/4451] lr: 8.3446e-03 eta: 0:37:04 time: 0.3366 data_time: 0.0132 memory: 8510 grad_norm: 0.1783 loss: 0.0387 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.8258 recall@top3: 0.8485 prec@top3: 0.6970 recall@top5: 0.9848 prec@top5: 0.5182 loss_action_cls: 0.0387 2022/12/03 13:45:36 - mmengine - INFO - Epoch(train) [9][2280/4451] lr: 8.2959e-03 eta: 0:36:57 time: 0.3357 data_time: 0.0140 memory: 8510 grad_norm: 0.1761 loss: 0.0365 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6944 recall@top3: 0.8333 prec@top3: 0.5972 recall@top5: 0.9306 prec@top5: 0.4000 loss_action_cls: 0.0365 2022/12/03 13:45:43 - mmengine - INFO - Epoch(train) [9][2300/4451] lr: 8.2473e-03 eta: 0:36:50 time: 0.3340 data_time: 0.0137 memory: 8510 grad_norm: 0.1781 loss: 0.0406 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6222 recall@top3: 0.8667 prec@top3: 0.5556 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0406 2022/12/03 13:45:50 - mmengine - INFO - Epoch(train) [9][2320/4451] lr: 8.1988e-03 eta: 0:36:44 time: 0.3340 data_time: 0.0131 memory: 8510 grad_norm: 0.1789 loss: 0.0425 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7262 recall@top3: 0.7024 prec@top3: 0.3810 recall@top5: 0.9286 prec@top5: 0.3286 loss_action_cls: 0.0425 2022/12/03 13:45:57 - mmengine - INFO - Epoch(train) [9][2340/4451] lr: 8.1504e-03 eta: 0:36:37 time: 0.3351 data_time: 0.0159 memory: 8510 grad_norm: 0.1754 loss: 0.0395 recall@thr=0.5: 0.9688 prec@thr=0.5: 0.8542 recall@top3: 0.9375 prec@top3: 0.5833 recall@top5: 0.9688 prec@top5: 0.3625 loss_action_cls: 0.0395 2022/12/03 13:46:03 - mmengine - INFO - Epoch(train) [9][2360/4451] lr: 8.1022e-03 eta: 0:36:30 time: 0.3337 data_time: 0.0121 memory: 8510 grad_norm: 0.1772 loss: 0.0377 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8684 recall@top3: 0.8728 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0377 2022/12/03 13:46:10 - mmengine - INFO - Epoch(train) [9][2380/4451] lr: 8.0541e-03 eta: 0:36:23 time: 0.3339 data_time: 0.0140 memory: 8510 grad_norm: 0.1780 loss: 0.0376 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7778 recall@top3: 0.8519 prec@top3: 0.7593 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0376 2022/12/03 13:46:14 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:46:17 - mmengine - INFO - Epoch(train) [9][2400/4451] lr: 8.0062e-03 eta: 0:36:17 time: 0.3316 data_time: 0.0125 memory: 8510 grad_norm: 0.1863 loss: 0.0425 recall@thr=0.5: 0.7089 prec@thr=0.5: 0.8482 recall@top3: 0.6845 prec@top3: 0.7262 recall@top5: 0.8905 prec@top5: 0.6000 loss_action_cls: 0.0425 2022/12/03 13:46:23 - mmengine - INFO - Epoch(train) [9][2420/4451] lr: 7.9584e-03 eta: 0:36:10 time: 0.3341 data_time: 0.0119 memory: 8510 grad_norm: 0.1777 loss: 0.0377 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.7436 recall@top3: 0.8333 prec@top3: 0.5769 recall@top5: 0.8846 prec@top5: 0.3769 loss_action_cls: 0.0377 2022/12/03 13:46:30 - mmengine - INFO - Epoch(train) [9][2440/4451] lr: 7.9107e-03 eta: 0:36:03 time: 0.3348 data_time: 0.0118 memory: 8510 grad_norm: 0.1759 loss: 0.0417 recall@thr=0.5: 0.8442 prec@thr=0.5: 0.8667 recall@top3: 0.8877 prec@top3: 0.5797 recall@top5: 0.9420 prec@top5: 0.3913 loss_action_cls: 0.0417 2022/12/03 13:46:37 - mmengine - INFO - Epoch(train) [9][2460/4451] lr: 7.8631e-03 eta: 0:35:57 time: 0.3343 data_time: 0.0113 memory: 8510 grad_norm: 0.1849 loss: 0.0421 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.5917 recall@top3: 0.6542 prec@top3: 0.5000 recall@top5: 0.7667 prec@top5: 0.3600 loss_action_cls: 0.0421 2022/12/03 13:46:43 - mmengine - INFO - Epoch(train) [9][2480/4451] lr: 7.8157e-03 eta: 0:35:50 time: 0.3344 data_time: 0.0140 memory: 8510 grad_norm: 0.1772 loss: 0.0327 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7295 recall@top3: 0.7276 prec@top3: 0.6282 recall@top5: 0.9199 prec@top5: 0.4846 loss_action_cls: 0.0327 2022/12/03 13:46:50 - mmengine - INFO - Epoch(train) [9][2500/4451] lr: 7.7684e-03 eta: 0:35:43 time: 0.3345 data_time: 0.0130 memory: 8510 grad_norm: 0.1792 loss: 0.0376 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7944 recall@top3: 0.7722 prec@top3: 0.6889 recall@top5: 0.9389 prec@top5: 0.5333 loss_action_cls: 0.0376 2022/12/03 13:46:57 - mmengine - INFO - Epoch(train) [9][2520/4451] lr: 7.7212e-03 eta: 0:35:37 time: 0.3370 data_time: 0.0152 memory: 8510 grad_norm: 0.1734 loss: 0.0387 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8553 recall@top3: 0.8860 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0387 2022/12/03 13:47:03 - mmengine - INFO - Epoch(train) [9][2540/4451] lr: 7.6742e-03 eta: 0:35:30 time: 0.3319 data_time: 0.0138 memory: 8510 grad_norm: 0.1745 loss: 0.0366 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6964 recall@top3: 0.9405 prec@top3: 0.7024 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0366 2022/12/03 13:47:10 - mmengine - INFO - Epoch(train) [9][2560/4451] lr: 7.6273e-03 eta: 0:35:23 time: 0.3354 data_time: 0.0146 memory: 8510 grad_norm: 0.1793 loss: 0.0379 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8000 recall@top3: 0.9333 prec@top3: 0.5111 recall@top5: 0.9667 prec@top5: 0.3200 loss_action_cls: 0.0379 2022/12/03 13:47:17 - mmengine - INFO - Epoch(train) [9][2580/4451] lr: 7.5805e-03 eta: 0:35:16 time: 0.3342 data_time: 0.0116 memory: 8510 grad_norm: 0.1780 loss: 0.0357 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8235 recall@top3: 0.8824 prec@top3: 0.5490 recall@top5: 0.9412 prec@top5: 0.3529 loss_action_cls: 0.0357 2022/12/03 13:47:23 - mmengine - INFO - Epoch(train) [9][2600/4451] lr: 7.5339e-03 eta: 0:35:10 time: 0.3343 data_time: 0.0126 memory: 8510 grad_norm: 0.1687 loss: 0.0432 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9333 recall@top3: 0.9250 prec@top3: 0.8500 recall@top5: 0.9833 prec@top5: 0.5500 loss_action_cls: 0.0432 2022/12/03 13:47:30 - mmengine - INFO - Epoch(train) [9][2620/4451] lr: 7.4874e-03 eta: 0:35:03 time: 0.3333 data_time: 0.0134 memory: 8510 grad_norm: 0.1843 loss: 0.0392 recall@thr=0.5: 0.5198 prec@thr=0.5: 0.6746 recall@top3: 0.7659 prec@top3: 0.5714 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0392 2022/12/03 13:47:37 - mmengine - INFO - Epoch(train) [9][2640/4451] lr: 7.4410e-03 eta: 0:34:56 time: 0.3363 data_time: 0.0132 memory: 8510 grad_norm: 0.1822 loss: 0.0448 recall@thr=0.5: 0.5533 prec@thr=0.5: 0.7080 recall@top3: 0.8433 prec@top3: 0.6133 recall@top5: 0.9667 prec@top5: 0.4480 loss_action_cls: 0.0448 2022/12/03 13:47:43 - mmengine - INFO - Epoch(train) [9][2660/4451] lr: 7.3948e-03 eta: 0:34:50 time: 0.3334 data_time: 0.0128 memory: 8510 grad_norm: 0.1758 loss: 0.0402 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7963 recall@top3: 0.7657 prec@top3: 0.7037 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0402 2022/12/03 13:47:50 - mmengine - INFO - Epoch(train) [9][2680/4451] lr: 7.3486e-03 eta: 0:34:43 time: 0.3334 data_time: 0.0135 memory: 8510 grad_norm: 0.1877 loss: 0.0440 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7324 recall@top3: 0.6852 prec@top3: 0.5370 recall@top5: 0.8796 prec@top5: 0.4333 loss_action_cls: 0.0440 2022/12/03 13:47:57 - mmengine - INFO - Epoch(train) [9][2700/4451] lr: 7.3027e-03 eta: 0:34:36 time: 0.3347 data_time: 0.0146 memory: 8510 grad_norm: 0.1798 loss: 0.0402 recall@thr=0.5: 0.6605 prec@thr=0.5: 0.7130 recall@top3: 0.7963 prec@top3: 0.5432 recall@top5: 0.9691 prec@top5: 0.3926 loss_action_cls: 0.0402 2022/12/03 13:48:04 - mmengine - INFO - Epoch(train) [9][2720/4451] lr: 7.2568e-03 eta: 0:34:30 time: 0.3353 data_time: 0.0120 memory: 8510 grad_norm: 0.1741 loss: 0.0400 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7083 recall@top3: 0.8646 prec@top3: 0.5625 recall@top5: 0.9167 prec@top5: 0.3750 loss_action_cls: 0.0400 2022/12/03 13:48:10 - mmengine - INFO - Epoch(train) [9][2740/4451] lr: 7.2111e-03 eta: 0:34:23 time: 0.3355 data_time: 0.0123 memory: 8510 grad_norm: 0.1790 loss: 0.0443 recall@thr=0.5: 0.4622 prec@thr=0.5: 0.6444 recall@top3: 0.8344 prec@top3: 0.7111 recall@top5: 0.9033 prec@top5: 0.4800 loss_action_cls: 0.0443 2022/12/03 13:48:17 - mmengine - INFO - Epoch(train) [9][2760/4451] lr: 7.1655e-03 eta: 0:34:16 time: 0.3345 data_time: 0.0118 memory: 8510 grad_norm: 0.1823 loss: 0.0374 recall@thr=0.5: 0.6358 prec@thr=0.5: 0.6790 recall@top3: 0.8704 prec@top3: 0.6420 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0374 2022/12/03 13:48:24 - mmengine - INFO - Epoch(train) [9][2780/4451] lr: 7.1201e-03 eta: 0:34:09 time: 0.3361 data_time: 0.0153 memory: 8510 grad_norm: 0.1762 loss: 0.0407 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7292 recall@top3: 0.8958 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.4625 loss_action_cls: 0.0407 2022/12/03 13:48:30 - mmengine - INFO - Epoch(train) [9][2800/4451] lr: 7.0748e-03 eta: 0:34:03 time: 0.3362 data_time: 0.0127 memory: 8510 grad_norm: 0.1876 loss: 0.0377 recall@thr=0.5: 0.4948 prec@thr=0.5: 0.5417 recall@top3: 0.6562 prec@top3: 0.4792 recall@top5: 0.8177 prec@top5: 0.3750 loss_action_cls: 0.0377 2022/12/03 13:48:37 - mmengine - INFO - Epoch(train) [9][2820/4451] lr: 7.0296e-03 eta: 0:33:56 time: 0.3357 data_time: 0.0127 memory: 8510 grad_norm: 0.1862 loss: 0.0382 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6970 recall@top3: 0.8131 prec@top3: 0.5051 recall@top5: 0.9293 prec@top5: 0.3515 loss_action_cls: 0.0382 2022/12/03 13:48:44 - mmengine - INFO - Epoch(train) [9][2840/4451] lr: 6.9846e-03 eta: 0:33:49 time: 0.3338 data_time: 0.0119 memory: 8510 grad_norm: 0.1807 loss: 0.0417 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8646 recall@top3: 0.8906 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0417 2022/12/03 13:48:51 - mmengine - INFO - Epoch(train) [9][2860/4451] lr: 6.9397e-03 eta: 0:33:43 time: 0.3371 data_time: 0.0118 memory: 8510 grad_norm: 0.1813 loss: 0.0375 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.7333 recall@top3: 0.8444 prec@top3: 0.5333 recall@top5: 0.9778 prec@top5: 0.3867 loss_action_cls: 0.0375 2022/12/03 13:48:57 - mmengine - INFO - Epoch(train) [9][2880/4451] lr: 6.8949e-03 eta: 0:33:36 time: 0.3349 data_time: 0.0135 memory: 8510 grad_norm: 0.1818 loss: 0.0426 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7792 recall@top3: 0.8458 prec@top3: 0.6500 recall@top5: 0.9667 prec@top5: 0.4600 loss_action_cls: 0.0426 2022/12/03 13:49:04 - mmengine - INFO - Epoch(train) [9][2900/4451] lr: 6.8502e-03 eta: 0:33:29 time: 0.3347 data_time: 0.0145 memory: 8510 grad_norm: 0.1835 loss: 0.0361 recall@thr=0.5: 0.9667 prec@thr=0.5: 1.0000 recall@top3: 0.9667 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0361 2022/12/03 13:49:11 - mmengine - INFO - Epoch(train) [9][2920/4451] lr: 6.8057e-03 eta: 0:33:23 time: 0.3340 data_time: 0.0133 memory: 8510 grad_norm: 0.1760 loss: 0.0432 recall@thr=0.5: 0.8385 prec@thr=0.5: 0.8854 recall@top3: 0.8958 prec@top3: 0.7292 recall@top5: 0.9479 prec@top5: 0.4750 loss_action_cls: 0.0432 2022/12/03 13:49:17 - mmengine - INFO - Epoch(train) [9][2940/4451] lr: 6.7614e-03 eta: 0:33:16 time: 0.3340 data_time: 0.0146 memory: 8510 grad_norm: 0.1760 loss: 0.0393 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7333 recall@top3: 0.7667 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0393 2022/12/03 13:49:24 - mmengine - INFO - Epoch(train) [9][2960/4451] lr: 6.7171e-03 eta: 0:33:09 time: 0.3356 data_time: 0.0113 memory: 8510 grad_norm: 0.1867 loss: 0.0421 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.6910 recall@top3: 0.7743 prec@top3: 0.5278 recall@top5: 0.9618 prec@top5: 0.4167 loss_action_cls: 0.0421 2022/12/03 13:49:31 - mmengine - INFO - Epoch(train) [9][2980/4451] lr: 6.6730e-03 eta: 0:33:03 time: 0.3365 data_time: 0.0159 memory: 8510 grad_norm: 0.1815 loss: 0.0425 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6228 recall@top3: 0.7807 prec@top3: 0.5439 recall@top5: 0.8333 prec@top5: 0.3474 loss_action_cls: 0.0425 2022/12/03 13:49:37 - mmengine - INFO - Epoch(train) [9][3000/4451] lr: 6.6291e-03 eta: 0:32:56 time: 0.3329 data_time: 0.0134 memory: 8510 grad_norm: 0.1788 loss: 0.0346 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7778 recall@top3: 0.8333 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.4000 loss_action_cls: 0.0346 2022/12/03 13:49:44 - mmengine - INFO - Epoch(train) [9][3020/4451] lr: 6.5852e-03 eta: 0:32:49 time: 0.3360 data_time: 0.0135 memory: 8510 grad_norm: 0.1824 loss: 0.0397 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7576 recall@top3: 0.8106 prec@top3: 0.7121 recall@top5: 0.9242 prec@top5: 0.5000 loss_action_cls: 0.0397 2022/12/03 13:49:51 - mmengine - INFO - Epoch(train) [9][3040/4451] lr: 6.5415e-03 eta: 0:32:42 time: 0.3357 data_time: 0.0117 memory: 8510 grad_norm: 0.1842 loss: 0.0389 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6597 recall@top3: 0.6875 prec@top3: 0.4583 recall@top5: 0.7847 prec@top5: 0.3250 loss_action_cls: 0.0389 2022/12/03 13:49:58 - mmengine - INFO - Epoch(train) [9][3060/4451] lr: 6.4980e-03 eta: 0:32:36 time: 0.3348 data_time: 0.0158 memory: 8510 grad_norm: 0.1802 loss: 0.0446 recall@thr=0.5: 0.6278 prec@thr=0.5: 0.7500 recall@top3: 0.7667 prec@top3: 0.6444 recall@top5: 0.8833 prec@top5: 0.4667 loss_action_cls: 0.0446 2022/12/03 13:50:04 - mmengine - INFO - Epoch(train) [9][3080/4451] lr: 6.4545e-03 eta: 0:32:29 time: 0.3360 data_time: 0.0139 memory: 8510 grad_norm: 0.1808 loss: 0.0363 recall@thr=0.5: 0.5787 prec@thr=0.5: 0.6852 recall@top3: 0.8380 prec@top3: 0.6852 recall@top5: 0.9259 prec@top5: 0.4667 loss_action_cls: 0.0363 2022/12/03 13:50:11 - mmengine - INFO - Epoch(train) [9][3100/4451] lr: 6.4112e-03 eta: 0:32:22 time: 0.3344 data_time: 0.0129 memory: 8510 grad_norm: 0.1759 loss: 0.0409 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6620 recall@top3: 0.7407 prec@top3: 0.5370 recall@top5: 0.8241 prec@top5: 0.3667 loss_action_cls: 0.0409 2022/12/03 13:50:18 - mmengine - INFO - Epoch(train) [9][3120/4451] lr: 6.3681e-03 eta: 0:32:16 time: 0.3365 data_time: 0.0127 memory: 8510 grad_norm: 0.1806 loss: 0.0401 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.5278 recall@top3: 0.7407 prec@top3: 0.4815 recall@top5: 0.9444 prec@top5: 0.3778 loss_action_cls: 0.0401 2022/12/03 13:50:24 - mmengine - INFO - Epoch(train) [9][3140/4451] lr: 6.3251e-03 eta: 0:32:09 time: 0.3354 data_time: 0.0133 memory: 8510 grad_norm: 0.1885 loss: 0.0371 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8889 recall@top3: 0.9246 prec@top3: 0.8413 recall@top5: 0.9405 prec@top5: 0.5143 loss_action_cls: 0.0371 2022/12/03 13:50:31 - mmengine - INFO - Epoch(train) [9][3160/4451] lr: 6.2822e-03 eta: 0:32:02 time: 0.3347 data_time: 0.0118 memory: 8510 grad_norm: 0.1718 loss: 0.0449 recall@thr=0.5: 0.6237 prec@thr=0.5: 0.6242 recall@top3: 0.8280 prec@top3: 0.6882 recall@top5: 0.8656 prec@top5: 0.4387 loss_action_cls: 0.0449 2022/12/03 13:50:38 - mmengine - INFO - Epoch(train) [9][3180/4451] lr: 6.2394e-03 eta: 0:31:56 time: 0.3353 data_time: 0.0130 memory: 8510 grad_norm: 0.1842 loss: 0.0419 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.5873 recall@top3: 0.7024 prec@top3: 0.5556 recall@top5: 0.9087 prec@top5: 0.4381 loss_action_cls: 0.0419 2022/12/03 13:50:44 - mmengine - INFO - Epoch(train) [9][3200/4451] lr: 6.1968e-03 eta: 0:31:49 time: 0.3348 data_time: 0.0140 memory: 8510 grad_norm: 0.1834 loss: 0.0415 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.8269 recall@top3: 0.8910 prec@top3: 0.8077 recall@top5: 1.0000 prec@top5: 0.5615 loss_action_cls: 0.0415 2022/12/03 13:50:51 - mmengine - INFO - Epoch(train) [9][3220/4451] lr: 6.1544e-03 eta: 0:31:42 time: 0.3360 data_time: 0.0106 memory: 8510 grad_norm: 0.1792 loss: 0.0346 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0346 2022/12/03 13:50:58 - mmengine - INFO - Epoch(train) [9][3240/4451] lr: 6.1120e-03 eta: 0:31:35 time: 0.3339 data_time: 0.0141 memory: 8510 grad_norm: 0.1803 loss: 0.0379 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7429 recall@top3: 0.7500 prec@top3: 0.7460 recall@top5: 0.8810 prec@top5: 0.5333 loss_action_cls: 0.0379 2022/12/03 13:51:05 - mmengine - INFO - Epoch(train) [9][3260/4451] lr: 6.0698e-03 eta: 0:31:29 time: 0.3348 data_time: 0.0129 memory: 8510 grad_norm: 0.1819 loss: 0.0355 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7300 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 0.9533 prec@top5: 0.4160 loss_action_cls: 0.0355 2022/12/03 13:51:11 - mmengine - INFO - Epoch(train) [9][3280/4451] lr: 6.0277e-03 eta: 0:31:22 time: 0.3348 data_time: 0.0132 memory: 8510 grad_norm: 0.1833 loss: 0.0399 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8732 recall@top3: 0.9072 prec@top3: 0.7826 recall@top5: 0.9783 prec@top5: 0.5304 loss_action_cls: 0.0399 2022/12/03 13:51:18 - mmengine - INFO - Epoch(train) [9][3300/4451] lr: 5.9858e-03 eta: 0:31:15 time: 0.3345 data_time: 0.0111 memory: 8510 grad_norm: 0.1828 loss: 0.0378 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6825 recall@top3: 0.7540 prec@top3: 0.5714 recall@top5: 0.9365 prec@top5: 0.4476 loss_action_cls: 0.0378 2022/12/03 13:51:25 - mmengine - INFO - Epoch(train) [9][3320/4451] lr: 5.9440e-03 eta: 0:31:09 time: 0.3342 data_time: 0.0135 memory: 8510 grad_norm: 0.1859 loss: 0.0418 recall@thr=0.5: 0.5578 prec@thr=0.5: 0.5931 recall@top3: 0.7000 prec@top3: 0.4510 recall@top5: 0.8206 prec@top5: 0.3529 loss_action_cls: 0.0418 2022/12/03 13:51:31 - mmengine - INFO - Epoch(train) [9][3340/4451] lr: 5.9024e-03 eta: 0:31:02 time: 0.3341 data_time: 0.0113 memory: 8510 grad_norm: 0.1744 loss: 0.0430 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6406 recall@top3: 0.7604 prec@top3: 0.6250 recall@top5: 0.9271 prec@top5: 0.4625 loss_action_cls: 0.0430 2022/12/03 13:51:38 - mmengine - INFO - Epoch(train) [9][3360/4451] lr: 5.8609e-03 eta: 0:30:55 time: 0.3350 data_time: 0.0121 memory: 8510 grad_norm: 0.1804 loss: 0.0398 recall@thr=0.5: 0.6278 prec@thr=0.5: 0.7778 recall@top3: 0.8444 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0398 2022/12/03 13:51:45 - mmengine - INFO - Epoch(train) [9][3380/4451] lr: 5.8195e-03 eta: 0:30:49 time: 0.3366 data_time: 0.0119 memory: 8510 grad_norm: 0.1820 loss: 0.0373 recall@thr=0.5: 0.4769 prec@thr=0.5: 0.5880 recall@top3: 0.7870 prec@top3: 0.5833 recall@top5: 0.8981 prec@top5: 0.4000 loss_action_cls: 0.0373 2022/12/03 13:51:49 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:51:51 - mmengine - INFO - Epoch(train) [9][3400/4451] lr: 5.7782e-03 eta: 0:30:42 time: 0.3345 data_time: 0.0132 memory: 8510 grad_norm: 0.1798 loss: 0.0371 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.7719 recall@top3: 0.9298 prec@top3: 0.5965 recall@top5: 0.9649 prec@top5: 0.3789 loss_action_cls: 0.0371 2022/12/03 13:51:58 - mmengine - INFO - Epoch(train) [9][3420/4451] lr: 5.7371e-03 eta: 0:30:35 time: 0.3358 data_time: 0.0115 memory: 8510 grad_norm: 0.1796 loss: 0.0431 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7583 recall@top3: 0.8667 prec@top3: 0.5667 recall@top5: 1.0000 prec@top5: 0.4200 loss_action_cls: 0.0431 2022/12/03 13:52:05 - mmengine - INFO - Epoch(train) [9][3440/4451] lr: 5.6962e-03 eta: 0:30:29 time: 0.3356 data_time: 0.0108 memory: 8510 grad_norm: 0.1803 loss: 0.0360 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.7917 recall@top3: 0.9583 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.3500 loss_action_cls: 0.0360 2022/12/03 13:52:12 - mmengine - INFO - Epoch(train) [9][3460/4451] lr: 5.6553e-03 eta: 0:30:22 time: 0.3391 data_time: 0.0129 memory: 8510 grad_norm: 0.1826 loss: 0.0417 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.8478 recall@top3: 0.9275 prec@top3: 0.5942 recall@top5: 0.9783 prec@top5: 0.3913 loss_action_cls: 0.0417 2022/12/03 13:52:18 - mmengine - INFO - Epoch(train) [9][3480/4451] lr: 5.6147e-03 eta: 0:30:15 time: 0.3362 data_time: 0.0132 memory: 8510 grad_norm: 0.1807 loss: 0.0393 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7708 recall@top3: 0.8438 prec@top3: 0.6389 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0393 2022/12/03 13:52:25 - mmengine - INFO - Epoch(train) [9][3500/4451] lr: 5.5741e-03 eta: 0:30:08 time: 0.3345 data_time: 0.0116 memory: 8510 grad_norm: 0.1792 loss: 0.0422 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7857 recall@top3: 0.8929 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0422 2022/12/03 13:52:32 - mmengine - INFO - Epoch(train) [9][3520/4451] lr: 5.5337e-03 eta: 0:30:02 time: 0.3353 data_time: 0.0135 memory: 8510 grad_norm: 0.1767 loss: 0.0385 recall@thr=0.5: 0.5780 prec@thr=0.5: 0.7097 recall@top3: 0.6747 prec@top3: 0.6129 recall@top5: 0.8548 prec@top5: 0.4774 loss_action_cls: 0.0385 2022/12/03 13:52:39 - mmengine - INFO - Epoch(train) [9][3540/4451] lr: 5.4934e-03 eta: 0:29:55 time: 0.3344 data_time: 0.0126 memory: 8510 grad_norm: 0.1759 loss: 0.0415 recall@thr=0.5: 0.7882 prec@thr=0.5: 0.7917 recall@top3: 0.7639 prec@top3: 0.7361 recall@top5: 0.9722 prec@top5: 0.5417 loss_action_cls: 0.0415 2022/12/03 13:52:45 - mmengine - INFO - Epoch(train) [9][3560/4451] lr: 5.4533e-03 eta: 0:29:48 time: 0.3332 data_time: 0.0132 memory: 8510 grad_norm: 0.1781 loss: 0.0368 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9010 recall@top3: 0.9323 prec@top3: 0.7292 recall@top5: 0.9844 prec@top5: 0.4750 loss_action_cls: 0.0368 2022/12/03 13:52:52 - mmengine - INFO - Epoch(train) [9][3580/4451] lr: 5.4133e-03 eta: 0:29:42 time: 0.3345 data_time: 0.0118 memory: 8510 grad_norm: 0.1795 loss: 0.0428 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7969 recall@top3: 0.8229 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0428 2022/12/03 13:52:59 - mmengine - INFO - Epoch(train) [9][3600/4451] lr: 5.3734e-03 eta: 0:29:35 time: 0.3348 data_time: 0.0136 memory: 8510 grad_norm: 0.1807 loss: 0.0430 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8333 recall@top3: 0.8627 prec@top3: 0.7059 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0430 2022/12/03 13:53:05 - mmengine - INFO - Epoch(train) [9][3620/4451] lr: 5.3337e-03 eta: 0:29:28 time: 0.3350 data_time: 0.0122 memory: 8510 grad_norm: 0.1783 loss: 0.0419 recall@thr=0.5: 0.6719 prec@thr=0.5: 0.7656 recall@top3: 0.7073 prec@top3: 0.7083 recall@top5: 0.9177 prec@top5: 0.5750 loss_action_cls: 0.0419 2022/12/03 13:53:12 - mmengine - INFO - Epoch(train) [9][3640/4451] lr: 5.2941e-03 eta: 0:29:22 time: 0.3348 data_time: 0.0150 memory: 8510 grad_norm: 0.1704 loss: 0.0402 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.6979 recall@top3: 0.8090 prec@top3: 0.6111 recall@top5: 0.9549 prec@top5: 0.4500 loss_action_cls: 0.0402 2022/12/03 13:53:19 - mmengine - INFO - Epoch(train) [9][3660/4451] lr: 5.2547e-03 eta: 0:29:15 time: 0.3357 data_time: 0.0126 memory: 8510 grad_norm: 0.1780 loss: 0.0369 recall@thr=0.5: 0.7394 prec@thr=0.5: 0.7462 recall@top3: 0.8348 prec@top3: 0.6970 recall@top5: 0.9697 prec@top5: 0.5182 loss_action_cls: 0.0369 2022/12/03 13:53:25 - mmengine - INFO - Epoch(train) [9][3680/4451] lr: 5.2154e-03 eta: 0:29:08 time: 0.3357 data_time: 0.0150 memory: 8510 grad_norm: 0.1803 loss: 0.0400 recall@thr=0.5: 0.6086 prec@thr=0.5: 0.7263 recall@top3: 0.7980 prec@top3: 0.7475 recall@top5: 0.9141 prec@top5: 0.5273 loss_action_cls: 0.0400 2022/12/03 13:53:32 - mmengine - INFO - Epoch(train) [9][3700/4451] lr: 5.1762e-03 eta: 0:29:01 time: 0.3341 data_time: 0.0112 memory: 8510 grad_norm: 0.1845 loss: 0.0430 recall@thr=0.5: 0.7784 prec@thr=0.5: 0.8889 recall@top3: 0.7648 prec@top3: 0.7654 recall@top5: 0.9321 prec@top5: 0.5852 loss_action_cls: 0.0430 2022/12/03 13:53:39 - mmengine - INFO - Epoch(train) [9][3720/4451] lr: 5.1372e-03 eta: 0:28:55 time: 0.3359 data_time: 0.0138 memory: 8510 grad_norm: 0.1771 loss: 0.0368 recall@thr=0.5: 0.8064 prec@thr=0.5: 0.8526 recall@top3: 0.8756 prec@top3: 0.7949 recall@top5: 0.9795 prec@top5: 0.5462 loss_action_cls: 0.0368 2022/12/03 13:53:46 - mmengine - INFO - Epoch(train) [9][3740/4451] lr: 5.0983e-03 eta: 0:28:48 time: 0.3365 data_time: 0.0132 memory: 8510 grad_norm: 0.1828 loss: 0.0386 recall@thr=0.5: 0.5484 prec@thr=0.5: 0.6129 recall@top3: 0.7634 prec@top3: 0.5914 recall@top5: 0.9409 prec@top5: 0.4452 loss_action_cls: 0.0386 2022/12/03 13:53:52 - mmengine - INFO - Epoch(train) [9][3760/4451] lr: 5.0596e-03 eta: 0:28:41 time: 0.3342 data_time: 0.0133 memory: 8510 grad_norm: 0.1824 loss: 0.0391 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7955 recall@top3: 0.8030 prec@top3: 0.5606 recall@top5: 0.9091 prec@top5: 0.4000 loss_action_cls: 0.0391 2022/12/03 13:53:59 - mmengine - INFO - Epoch(train) [9][3780/4451] lr: 5.0210e-03 eta: 0:28:35 time: 0.3340 data_time: 0.0123 memory: 8510 grad_norm: 0.1822 loss: 0.0345 recall@thr=0.5: 0.7921 prec@thr=0.5: 0.8849 recall@top3: 0.8262 prec@top3: 0.6508 recall@top5: 0.9310 prec@top5: 0.4667 loss_action_cls: 0.0345 2022/12/03 13:54:06 - mmengine - INFO - Epoch(train) [9][3800/4451] lr: 4.9825e-03 eta: 0:28:28 time: 0.3369 data_time: 0.0133 memory: 8510 grad_norm: 0.1760 loss: 0.0364 recall@thr=0.5: 0.7019 prec@thr=0.5: 0.8222 recall@top3: 0.7556 prec@top3: 0.5741 recall@top5: 0.9074 prec@top5: 0.4333 loss_action_cls: 0.0364 2022/12/03 13:54:12 - mmengine - INFO - Epoch(train) [9][3820/4451] lr: 4.9442e-03 eta: 0:28:21 time: 0.3347 data_time: 0.0117 memory: 8510 grad_norm: 0.1811 loss: 0.0411 recall@thr=0.5: 0.6794 prec@thr=0.5: 0.8254 recall@top3: 0.7667 prec@top3: 0.7460 recall@top5: 0.9119 prec@top5: 0.5524 loss_action_cls: 0.0411 2022/12/03 13:54:19 - mmengine - INFO - Epoch(train) [9][3840/4451] lr: 4.9060e-03 eta: 0:28:15 time: 0.3359 data_time: 0.0112 memory: 8510 grad_norm: 0.1818 loss: 0.0382 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8540 recall@top3: 0.8294 prec@top3: 0.7619 recall@top5: 0.9167 prec@top5: 0.5048 loss_action_cls: 0.0382 2022/12/03 13:54:26 - mmengine - INFO - Epoch(train) [9][3860/4451] lr: 4.8680e-03 eta: 0:28:08 time: 0.3358 data_time: 0.0117 memory: 8510 grad_norm: 0.1785 loss: 0.0368 recall@thr=0.5: 0.6768 prec@thr=0.5: 0.6714 recall@top3: 0.8286 prec@top3: 0.7262 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0368 2022/12/03 13:54:32 - mmengine - INFO - Epoch(train) [9][3880/4451] lr: 4.8300e-03 eta: 0:28:01 time: 0.3339 data_time: 0.0149 memory: 8510 grad_norm: 0.1782 loss: 0.0400 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.7000 recall@top3: 0.8033 prec@top3: 0.5600 recall@top5: 0.9033 prec@top5: 0.4080 loss_action_cls: 0.0400 2022/12/03 13:54:39 - mmengine - INFO - Epoch(train) [9][3900/4451] lr: 4.7923e-03 eta: 0:27:54 time: 0.3369 data_time: 0.0134 memory: 8510 grad_norm: 0.1740 loss: 0.0407 recall@thr=0.5: 0.6981 prec@thr=0.5: 0.8889 recall@top3: 0.9019 prec@top3: 0.6852 recall@top5: 0.9704 prec@top5: 0.4556 loss_action_cls: 0.0407 2022/12/03 13:54:46 - mmengine - INFO - Epoch(train) [9][3920/4451] lr: 4.7547e-03 eta: 0:27:48 time: 0.3336 data_time: 0.0112 memory: 8510 grad_norm: 0.1803 loss: 0.0415 recall@thr=0.5: 0.7981 prec@thr=0.5: 0.8889 recall@top3: 0.8648 prec@top3: 0.6852 recall@top5: 0.9407 prec@top5: 0.4556 loss_action_cls: 0.0415 2022/12/03 13:54:53 - mmengine - INFO - Epoch(train) [9][3940/4451] lr: 4.7172e-03 eta: 0:27:41 time: 0.3357 data_time: 0.0112 memory: 8510 grad_norm: 0.1787 loss: 0.0408 recall@thr=0.5: 0.6280 prec@thr=0.5: 0.7679 recall@top3: 0.7381 prec@top3: 0.5595 recall@top5: 0.8512 prec@top5: 0.4000 loss_action_cls: 0.0408 2022/12/03 13:54:59 - mmengine - INFO - Epoch(train) [9][3960/4451] lr: 4.6798e-03 eta: 0:27:34 time: 0.3358 data_time: 0.0122 memory: 8510 grad_norm: 0.1805 loss: 0.0432 recall@thr=0.5: 0.6382 prec@thr=0.5: 0.6765 recall@top3: 0.7618 prec@top3: 0.4902 recall@top5: 0.8863 prec@top5: 0.3647 loss_action_cls: 0.0432 2022/12/03 13:55:06 - mmengine - INFO - Epoch(train) [9][3980/4451] lr: 4.6426e-03 eta: 0:27:28 time: 0.3341 data_time: 0.0124 memory: 8510 grad_norm: 0.1854 loss: 0.0408 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7500 recall@top3: 0.8167 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0408 2022/12/03 13:55:13 - mmengine - INFO - Epoch(train) [9][4000/4451] lr: 4.6056e-03 eta: 0:27:21 time: 0.3351 data_time: 0.0131 memory: 8510 grad_norm: 0.1878 loss: 0.0394 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7451 recall@top3: 0.8922 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0394 2022/12/03 13:55:19 - mmengine - INFO - Epoch(train) [9][4020/4451] lr: 4.5687e-03 eta: 0:27:14 time: 0.3355 data_time: 0.0120 memory: 8510 grad_norm: 0.1775 loss: 0.0392 recall@thr=0.5: 0.6623 prec@thr=0.5: 0.6739 recall@top3: 0.8319 prec@top3: 0.5942 recall@top5: 0.8957 prec@top5: 0.4087 loss_action_cls: 0.0392 2022/12/03 13:55:26 - mmengine - INFO - Epoch(train) [9][4040/4451] lr: 4.5319e-03 eta: 0:27:08 time: 0.3353 data_time: 0.0117 memory: 8510 grad_norm: 0.1874 loss: 0.0433 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6619 recall@top3: 0.8786 prec@top3: 0.6857 recall@top5: 0.9405 prec@top5: 0.4514 loss_action_cls: 0.0433 2022/12/03 13:55:33 - mmengine - INFO - Epoch(train) [9][4060/4451] lr: 4.4953e-03 eta: 0:27:01 time: 0.3343 data_time: 0.0134 memory: 8510 grad_norm: 0.1861 loss: 0.0390 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5889 recall@top3: 0.7556 prec@top3: 0.4889 recall@top5: 0.8444 prec@top5: 0.3467 loss_action_cls: 0.0390 2022/12/03 13:55:40 - mmengine - INFO - Epoch(train) [9][4080/4451] lr: 4.4588e-03 eta: 0:26:54 time: 0.3362 data_time: 0.0128 memory: 8510 grad_norm: 0.1856 loss: 0.0393 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.4762 recall@top3: 0.7143 prec@top3: 0.5079 recall@top5: 0.8333 prec@top5: 0.3810 loss_action_cls: 0.0393 2022/12/03 13:55:46 - mmengine - INFO - Epoch(train) [9][4100/4451] lr: 4.4224e-03 eta: 0:26:48 time: 0.3340 data_time: 0.0126 memory: 8510 grad_norm: 0.1791 loss: 0.0412 recall@thr=0.5: 0.4470 prec@thr=0.5: 0.5985 recall@top3: 0.5833 prec@top3: 0.5303 recall@top5: 0.8561 prec@top5: 0.4636 loss_action_cls: 0.0412 2022/12/03 13:55:53 - mmengine - INFO - Epoch(train) [9][4120/4451] lr: 4.3862e-03 eta: 0:26:41 time: 0.3355 data_time: 0.0140 memory: 8510 grad_norm: 0.1814 loss: 0.0392 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.5000 recall@top3: 0.6250 prec@top3: 0.4375 recall@top5: 0.7188 prec@top5: 0.3125 loss_action_cls: 0.0392 2022/12/03 13:56:00 - mmengine - INFO - Epoch(train) [9][4140/4451] lr: 4.3502e-03 eta: 0:26:34 time: 0.3359 data_time: 0.0117 memory: 8510 grad_norm: 0.1794 loss: 0.0395 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6556 recall@top3: 0.7411 prec@top3: 0.6889 recall@top5: 0.9100 prec@top5: 0.5600 loss_action_cls: 0.0395 2022/12/03 13:56:06 - mmengine - INFO - Epoch(train) [9][4160/4451] lr: 4.3142e-03 eta: 0:26:27 time: 0.3356 data_time: 0.0127 memory: 8510 grad_norm: 0.1821 loss: 0.0382 recall@thr=0.5: 0.8640 prec@thr=0.5: 0.8333 recall@top3: 0.9298 prec@top3: 0.7193 recall@top5: 0.9868 prec@top5: 0.4737 loss_action_cls: 0.0382 2022/12/03 13:56:13 - mmengine - INFO - Epoch(train) [9][4180/4451] lr: 4.2785e-03 eta: 0:26:21 time: 0.3364 data_time: 0.0147 memory: 8510 grad_norm: 0.1785 loss: 0.0394 recall@thr=0.5: 0.6768 prec@thr=0.5: 0.6566 recall@top3: 0.7652 prec@top3: 0.6566 recall@top5: 0.9040 prec@top5: 0.4909 loss_action_cls: 0.0394 2022/12/03 13:56:20 - mmengine - INFO - Epoch(train) [9][4200/4451] lr: 4.2428e-03 eta: 0:26:14 time: 0.3364 data_time: 0.0134 memory: 8510 grad_norm: 0.1822 loss: 0.0379 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7381 recall@top3: 0.7143 prec@top3: 0.5397 recall@top5: 0.8651 prec@top5: 0.4000 loss_action_cls: 0.0379 2022/12/03 13:56:26 - mmengine - INFO - Epoch(train) [9][4220/4451] lr: 4.2073e-03 eta: 0:26:07 time: 0.3353 data_time: 0.0141 memory: 8510 grad_norm: 0.1743 loss: 0.0373 recall@thr=0.5: 0.6814 prec@thr=0.5: 0.7353 recall@top3: 0.7892 prec@top3: 0.5098 recall@top5: 0.8922 prec@top5: 0.3647 loss_action_cls: 0.0373 2022/12/03 13:56:33 - mmengine - INFO - Epoch(train) [9][4240/4451] lr: 4.1720e-03 eta: 0:26:01 time: 0.3360 data_time: 0.0157 memory: 8510 grad_norm: 0.1820 loss: 0.0393 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.9211 recall@top3: 1.0000 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.3895 loss_action_cls: 0.0393 2022/12/03 13:56:40 - mmengine - INFO - Epoch(train) [9][4260/4451] lr: 4.1368e-03 eta: 0:25:54 time: 0.3341 data_time: 0.0121 memory: 8510 grad_norm: 0.1825 loss: 0.0403 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.5595 recall@top3: 0.7321 prec@top3: 0.5238 recall@top5: 0.7679 prec@top5: 0.3429 loss_action_cls: 0.0403 2022/12/03 13:56:47 - mmengine - INFO - Epoch(train) [9][4280/4451] lr: 4.1017e-03 eta: 0:25:47 time: 0.3370 data_time: 0.0150 memory: 8510 grad_norm: 0.1757 loss: 0.0437 recall@thr=0.5: 0.5288 prec@thr=0.5: 0.5227 recall@top3: 0.7056 prec@top3: 0.5758 recall@top5: 0.7995 prec@top5: 0.4182 loss_action_cls: 0.0437 2022/12/03 13:56:53 - mmengine - INFO - Epoch(train) [9][4300/4451] lr: 4.0668e-03 eta: 0:25:41 time: 0.3350 data_time: 0.0138 memory: 8510 grad_norm: 0.1769 loss: 0.0428 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.9091 recall@top3: 0.8485 prec@top3: 0.3939 recall@top5: 0.9545 prec@top5: 0.2909 loss_action_cls: 0.0428 2022/12/03 13:57:00 - mmengine - INFO - Epoch(train) [9][4320/4451] lr: 4.0320e-03 eta: 0:25:34 time: 0.3346 data_time: 0.0118 memory: 8510 grad_norm: 0.1856 loss: 0.0432 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.7302 recall@top3: 0.8730 prec@top3: 0.6984 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0432 2022/12/03 13:57:07 - mmengine - INFO - Epoch(train) [9][4340/4451] lr: 3.9973e-03 eta: 0:25:27 time: 0.3351 data_time: 0.0131 memory: 8510 grad_norm: 0.1708 loss: 0.0417 recall@thr=0.5: 0.5076 prec@thr=0.5: 0.5076 recall@top3: 0.6515 prec@top3: 0.5606 recall@top5: 0.8712 prec@top5: 0.4545 loss_action_cls: 0.0417 2022/12/03 13:57:13 - mmengine - INFO - Epoch(train) [9][4360/4451] lr: 3.9629e-03 eta: 0:25:20 time: 0.3346 data_time: 0.0126 memory: 8510 grad_norm: 0.1805 loss: 0.0393 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8519 recall@top3: 0.8426 prec@top3: 0.5741 recall@top5: 0.9491 prec@top5: 0.4000 loss_action_cls: 0.0393 2022/12/03 13:57:20 - mmengine - INFO - Epoch(train) [9][4380/4451] lr: 3.9285e-03 eta: 0:25:14 time: 0.3350 data_time: 0.0135 memory: 8510 grad_norm: 0.1733 loss: 0.0367 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7552 recall@top3: 0.7057 prec@top3: 0.6562 recall@top5: 0.8354 prec@top5: 0.4812 loss_action_cls: 0.0367 2022/12/03 13:57:24 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:57:27 - mmengine - INFO - Epoch(train) [9][4400/4451] lr: 3.8943e-03 eta: 0:25:07 time: 0.3352 data_time: 0.0141 memory: 8510 grad_norm: 0.1788 loss: 0.0393 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.4444 recall@top5: 0.9722 prec@top5: 0.3000 loss_action_cls: 0.0393 2022/12/03 13:57:34 - mmengine - INFO - Epoch(train) [9][4420/4451] lr: 3.8602e-03 eta: 0:25:00 time: 0.3337 data_time: 0.0121 memory: 8510 grad_norm: 0.1788 loss: 0.0412 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.6449 recall@top3: 0.7681 prec@top3: 0.6812 recall@top5: 0.9565 prec@top5: 0.5043 loss_action_cls: 0.0412 2022/12/03 13:57:40 - mmengine - INFO - Epoch(train) [9][4440/4451] lr: 3.8263e-03 eta: 0:24:54 time: 0.3337 data_time: 0.0126 memory: 8510 grad_norm: 0.1754 loss: 0.0416 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.5909 recall@top3: 0.7727 prec@top3: 0.5000 recall@top5: 0.7727 prec@top5: 0.3000 loss_action_cls: 0.0416 2022/12/03 13:57:44 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 13:57:44 - mmengine - INFO - Epoch(train) [9][4451/4451] lr: 3.8077e-03 eta: 0:24:50 time: 0.3290 data_time: 0.0130 memory: 8510 grad_norm: 0.1777 loss: 0.0415 recall@thr=0.5: 0.6592 prec@thr=0.5: 0.7583 recall@top3: 0.7050 prec@top3: 0.7000 recall@top5: 0.9000 prec@top5: 0.5700 loss_action_cls: 0.0415 2022/12/03 13:57:44 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/12/03 13:57:49 - mmengine - INFO - Epoch(val) [9][ 20/6282] eta: 0:08:08 time: 0.0779 data_time: 0.0280 memory: 662 2022/12/03 13:57:50 - mmengine - INFO - Epoch(val) [9][ 40/6282] eta: 0:06:45 time: 0.0520 data_time: 0.0075 memory: 662 2022/12/03 13:57:51 - mmengine - INFO - Epoch(val) [9][ 60/6282] eta: 0:06:05 time: 0.0462 data_time: 0.0085 memory: 662 2022/12/03 13:57:52 - mmengine - INFO - Epoch(val) [9][ 80/6282] eta: 0:05:53 time: 0.0517 data_time: 0.0103 memory: 662 2022/12/03 13:57:53 - mmengine - INFO - Epoch(val) [9][ 100/6282] eta: 0:05:39 time: 0.0469 data_time: 0.0071 memory: 662 2022/12/03 13:57:54 - mmengine - INFO - Epoch(val) [9][ 120/6282] eta: 0:05:37 time: 0.0543 data_time: 0.0055 memory: 733 2022/12/03 13:57:56 - mmengine - INFO - Epoch(val) [9][ 140/6282] eta: 0:05:37 time: 0.0560 data_time: 0.0058 memory: 733 2022/12/03 13:57:57 - mmengine - INFO - Epoch(val) [9][ 160/6282] eta: 0:05:42 time: 0.0626 data_time: 0.0101 memory: 733 2022/12/03 13:57:58 - mmengine - INFO - Epoch(val) [9][ 180/6282] eta: 0:05:40 time: 0.0552 data_time: 0.0071 memory: 733 2022/12/03 13:57:59 - mmengine - INFO - Epoch(val) [9][ 200/6282] eta: 0:05:41 time: 0.0595 data_time: 0.0068 memory: 733 2022/12/03 13:58:00 - mmengine - INFO - Epoch(val) [9][ 220/6282] eta: 0:05:38 time: 0.0522 data_time: 0.0086 memory: 674 2022/12/03 13:58:01 - mmengine - INFO - Epoch(val) [9][ 240/6282] eta: 0:05:34 time: 0.0505 data_time: 0.0072 memory: 674 2022/12/03 13:58:02 - mmengine - INFO - Epoch(val) [9][ 260/6282] eta: 0:05:33 time: 0.0555 data_time: 0.0103 memory: 674 2022/12/03 13:58:03 - mmengine - INFO - Epoch(val) [9][ 280/6282] eta: 0:05:30 time: 0.0512 data_time: 0.0080 memory: 674 2022/12/03 13:58:04 - mmengine - INFO - Epoch(val) [9][ 300/6282] eta: 0:05:28 time: 0.0529 data_time: 0.0059 memory: 733 2022/12/03 13:58:06 - mmengine - INFO - Epoch(val) [9][ 320/6282] eta: 0:05:29 time: 0.0588 data_time: 0.0070 memory: 733 2022/12/03 13:58:07 - mmengine - INFO - Epoch(val) [9][ 340/6282] eta: 0:05:30 time: 0.0611 data_time: 0.0079 memory: 733 2022/12/03 13:58:08 - mmengine - INFO - Epoch(val) [9][ 360/6282] eta: 0:05:29 time: 0.0569 data_time: 0.0068 memory: 733 2022/12/03 13:58:09 - mmengine - INFO - Epoch(val) [9][ 380/6282] eta: 0:05:28 time: 0.0573 data_time: 0.0115 memory: 733 2022/12/03 13:58:10 - mmengine - INFO - Epoch(val) [9][ 400/6282] eta: 0:05:27 time: 0.0556 data_time: 0.0085 memory: 733 2022/12/03 13:58:11 - mmengine - INFO - Epoch(val) [9][ 420/6282] eta: 0:05:25 time: 0.0520 data_time: 0.0063 memory: 679 2022/12/03 13:58:12 - mmengine - INFO - Epoch(val) [9][ 440/6282] eta: 0:05:22 time: 0.0492 data_time: 0.0056 memory: 679 2022/12/03 13:58:13 - mmengine - INFO - Epoch(val) [9][ 460/6282] eta: 0:05:20 time: 0.0526 data_time: 0.0073 memory: 679 2022/12/03 13:58:14 - mmengine - INFO - Epoch(val) [9][ 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time: 0.0508 data_time: 0.0098 memory: 670 2022/12/03 13:58:24 - mmengine - INFO - Epoch(val) [9][ 660/6282] eta: 0:05:05 time: 0.0486 data_time: 0.0065 memory: 670 2022/12/03 13:58:25 - mmengine - INFO - Epoch(val) [9][ 680/6282] eta: 0:05:04 time: 0.0516 data_time: 0.0082 memory: 670 2022/12/03 13:58:26 - mmengine - INFO - Epoch(val) [9][ 700/6282] eta: 0:05:01 time: 0.0482 data_time: 0.0062 memory: 670 2022/12/03 13:58:27 - mmengine - INFO - Epoch(val) [9][ 720/6282] eta: 0:05:00 time: 0.0494 data_time: 0.0071 memory: 733 2022/12/03 13:58:28 - mmengine - INFO - Epoch(val) [9][ 740/6282] eta: 0:05:00 time: 0.0651 data_time: 0.0193 memory: 733 2022/12/03 13:58:29 - mmengine - INFO - Epoch(val) [9][ 760/6282] eta: 0:05:01 time: 0.0636 data_time: 0.0129 memory: 733 2022/12/03 13:58:31 - mmengine - INFO - Epoch(val) [9][ 780/6282] eta: 0:05:03 time: 0.0772 data_time: 0.0251 memory: 733 2022/12/03 13:58:32 - mmengine - INFO - Epoch(val) [9][ 800/6282] eta: 0:05:03 time: 0.0622 data_time: 0.0141 memory: 733 2022/12/03 13:58:33 - mmengine - INFO - Epoch(val) [9][ 820/6282] eta: 0:05:02 time: 0.0619 data_time: 0.0142 memory: 733 2022/12/03 13:58:35 - mmengine - INFO - Epoch(val) [9][ 840/6282] eta: 0:05:01 time: 0.0532 data_time: 0.0051 memory: 674 2022/12/03 13:58:36 - mmengine - INFO - Epoch(val) [9][ 860/6282] eta: 0:05:00 time: 0.0593 data_time: 0.0103 memory: 674 2022/12/03 13:58:37 - mmengine - INFO - Epoch(val) [9][ 880/6282] eta: 0:04:59 time: 0.0515 data_time: 0.0085 memory: 674 2022/12/03 13:58:38 - mmengine - INFO - Epoch(val) [9][ 900/6282] eta: 0:04:58 time: 0.0564 data_time: 0.0075 memory: 674 2022/12/03 13:58:39 - mmengine - INFO - Epoch(val) [9][ 920/6282] eta: 0:04:57 time: 0.0548 data_time: 0.0067 memory: 674 2022/12/03 13:58:40 - mmengine - INFO - Epoch(val) [9][ 940/6282] eta: 0:04:55 time: 0.0541 data_time: 0.0067 memory: 662 2022/12/03 13:58:41 - mmengine - INFO - Epoch(val) [9][ 960/6282] eta: 0:04:54 time: 0.0521 data_time: 0.0072 memory: 662 2022/12/03 13:58:42 - mmengine - INFO - Epoch(val) [9][ 980/6282] eta: 0:04:53 time: 0.0548 data_time: 0.0090 memory: 662 2022/12/03 13:58:43 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:04:51 time: 0.0523 data_time: 0.0069 memory: 662 2022/12/03 13:58:44 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:04:50 time: 0.0551 data_time: 0.0081 memory: 674 2022/12/03 13:58:45 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:04:49 time: 0.0512 data_time: 0.0074 memory: 674 2022/12/03 13:58:46 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:04:47 time: 0.0547 data_time: 0.0080 memory: 674 2022/12/03 13:58:48 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:04:46 time: 0.0527 data_time: 0.0058 memory: 674 2022/12/03 13:58:49 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:04:45 time: 0.0525 data_time: 0.0070 memory: 674 2022/12/03 13:58:50 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:04:44 time: 0.0542 data_time: 0.0098 memory: 674 2022/12/03 13:58:51 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:04:42 time: 0.0538 data_time: 0.0080 memory: 674 2022/12/03 13:58:52 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:04:41 time: 0.0558 data_time: 0.0096 memory: 674 2022/12/03 13:58:53 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:04:40 time: 0.0515 data_time: 0.0069 memory: 674 2022/12/03 13:58:54 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:04:38 time: 0.0490 data_time: 0.0072 memory: 674 2022/12/03 13:58:55 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:04:37 time: 0.0491 data_time: 0.0098 memory: 674 2022/12/03 13:58:56 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:04:36 time: 0.0576 data_time: 0.0077 memory: 733 2022/12/03 13:58:57 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:04:35 time: 0.0624 data_time: 0.0145 memory: 733 2022/12/03 13:58:59 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:04:35 time: 0.0688 data_time: 0.0228 memory: 733 2022/12/03 13:59:00 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:04:35 time: 0.0613 data_time: 0.0162 memory: 733 2022/12/03 13:59:01 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:04:35 time: 0.0718 data_time: 0.0242 memory: 733 2022/12/03 13:59:03 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:04:34 time: 0.0601 data_time: 0.0156 memory: 733 2022/12/03 13:59:04 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:04:34 time: 0.0634 data_time: 0.0178 memory: 733 2022/12/03 13:59:05 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:04:33 time: 0.0624 data_time: 0.0123 memory: 733 2022/12/03 13:59:06 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:04:33 time: 0.0690 data_time: 0.0208 memory: 733 2022/12/03 13:59:08 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:04:32 time: 0.0616 data_time: 0.0153 memory: 733 2022/12/03 13:59:09 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:04:31 time: 0.0582 data_time: 0.0141 memory: 733 2022/12/03 13:59:10 - mmengine - INFO - Epoch(val) 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0:04:21 time: 0.0635 data_time: 0.0083 memory: 820 2022/12/03 13:59:20 - mmengine - INFO - Epoch(val) [9][1640/6282] eta: 0:04:20 time: 0.0507 data_time: 0.0053 memory: 733 2022/12/03 13:59:21 - mmengine - INFO - Epoch(val) [9][1660/6282] eta: 0:04:19 time: 0.0552 data_time: 0.0079 memory: 733 2022/12/03 13:59:22 - mmengine - INFO - Epoch(val) [9][1680/6282] eta: 0:04:18 time: 0.0541 data_time: 0.0066 memory: 733 2022/12/03 13:59:23 - mmengine - INFO - Epoch(val) [9][1700/6282] eta: 0:04:16 time: 0.0533 data_time: 0.0070 memory: 733 2022/12/03 13:59:25 - mmengine - INFO - Epoch(val) [9][1720/6282] eta: 0:04:15 time: 0.0536 data_time: 0.0057 memory: 733 2022/12/03 13:59:26 - mmengine - INFO - Epoch(val) [9][1740/6282] eta: 0:04:14 time: 0.0549 data_time: 0.0090 memory: 733 2022/12/03 13:59:27 - mmengine - INFO - Epoch(val) [9][1760/6282] eta: 0:04:13 time: 0.0556 data_time: 0.0071 memory: 733 2022/12/03 13:59:28 - mmengine - INFO - Epoch(val) [9][1780/6282] eta: 0:04:12 time: 0.0572 data_time: 0.0098 memory: 733 2022/12/03 13:59:29 - mmengine - INFO - Epoch(val) [9][1800/6282] eta: 0:04:10 time: 0.0523 data_time: 0.0050 memory: 733 2022/12/03 13:59:30 - mmengine - INFO - Epoch(val) [9][1820/6282] eta: 0:04:09 time: 0.0578 data_time: 0.0077 memory: 733 2022/12/03 13:59:31 - mmengine - INFO - Epoch(val) [9][1840/6282] eta: 0:04:08 time: 0.0607 data_time: 0.0099 memory: 733 2022/12/03 13:59:33 - mmengine - INFO - Epoch(val) [9][1860/6282] eta: 0:04:07 time: 0.0573 data_time: 0.0090 memory: 733 2022/12/03 13:59:34 - mmengine - INFO - Epoch(val) [9][1880/6282] eta: 0:04:06 time: 0.0589 data_time: 0.0119 memory: 733 2022/12/03 13:59:35 - mmengine - INFO - Epoch(val) [9][1900/6282] eta: 0:04:06 time: 0.0621 data_time: 0.0121 memory: 733 2022/12/03 13:59:36 - mmengine - INFO - Epoch(val) [9][1920/6282] eta: 0:04:05 time: 0.0627 data_time: 0.0133 memory: 733 2022/12/03 13:59:37 - mmengine - INFO - Epoch(val) [9][1940/6282] eta: 0:04:04 time: 0.0612 data_time: 0.0153 memory: 733 2022/12/03 13:59:38 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:04:03 time: 0.0527 data_time: 0.0082 memory: 679 2022/12/03 13:59:40 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:04:01 time: 0.0527 data_time: 0.0070 memory: 679 2022/12/03 13:59:41 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:04:00 time: 0.0526 data_time: 0.0055 memory: 679 2022/12/03 13:59:42 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:03:59 time: 0.0513 data_time: 0.0060 memory: 679 2022/12/03 13:59:43 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:03:57 time: 0.0546 data_time: 0.0075 memory: 679 2022/12/03 13:59:44 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:03:56 time: 0.0534 data_time: 0.0076 memory: 679 2022/12/03 13:59:45 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:03:55 time: 0.0555 data_time: 0.0074 memory: 679 2022/12/03 13:59:46 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:03:54 time: 0.0542 data_time: 0.0074 memory: 679 2022/12/03 13:59:47 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:03:53 time: 0.0518 data_time: 0.0095 memory: 679 2022/12/03 13:59:48 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:03:51 time: 0.0519 data_time: 0.0082 memory: 679 2022/12/03 13:59:49 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:03:50 time: 0.0537 data_time: 0.0072 memory: 674 2022/12/03 13:59:50 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:03:49 time: 0.0514 data_time: 0.0046 memory: 674 2022/12/03 13:59:51 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:03:48 time: 0.0540 data_time: 0.0075 memory: 674 2022/12/03 13:59:52 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:03:46 time: 0.0517 data_time: 0.0079 memory: 674 2022/12/03 13:59:53 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:03:45 time: 0.0558 data_time: 0.0075 memory: 674 2022/12/03 13:59:55 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:03:44 time: 0.0557 data_time: 0.0066 memory: 679 2022/12/03 13:59:56 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:03:43 time: 0.0519 data_time: 0.0084 memory: 679 2022/12/03 13:59:57 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:03:42 time: 0.0532 data_time: 0.0067 memory: 679 2022/12/03 13:59:58 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:03:40 time: 0.0489 data_time: 0.0081 memory: 679 2022/12/03 13:59:59 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:03:39 time: 0.0519 data_time: 0.0082 memory: 679 2022/12/03 14:00:00 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:03:38 time: 0.0514 data_time: 0.0066 memory: 674 2022/12/03 14:00:01 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:03:37 time: 0.0504 data_time: 0.0067 memory: 674 2022/12/03 14:00:02 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:03:35 time: 0.0498 data_time: 0.0070 memory: 674 2022/12/03 14:00:03 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:03:34 time: 0.0538 data_time: 0.0088 memory: 674 2022/12/03 14:00:04 - mmengine - INFO - Epoch(val) 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0:03:25 time: 0.0627 data_time: 0.0101 memory: 733 2022/12/03 14:00:14 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:03:24 time: 0.0612 data_time: 0.0148 memory: 733 2022/12/03 14:00:16 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:03:23 time: 0.0564 data_time: 0.0138 memory: 733 2022/12/03 14:00:17 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:03:21 time: 0.0582 data_time: 0.0069 memory: 812 2022/12/03 14:00:18 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:03:20 time: 0.0613 data_time: 0.0077 memory: 812 2022/12/03 14:00:19 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:03:20 time: 0.0657 data_time: 0.0097 memory: 812 2022/12/03 14:00:21 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:03:19 time: 0.0640 data_time: 0.0104 memory: 812 2022/12/03 14:00:22 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:03:18 time: 0.0612 data_time: 0.0070 memory: 812 2022/12/03 14:00:23 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:03:17 time: 0.0551 data_time: 0.0109 memory: 679 2022/12/03 14:00:24 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:03:15 time: 0.0520 data_time: 0.0095 memory: 679 2022/12/03 14:00:25 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:03:14 time: 0.0524 data_time: 0.0095 memory: 679 2022/12/03 14:00:26 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:03:13 time: 0.0500 data_time: 0.0091 memory: 679 2022/12/03 14:00:27 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:03:12 time: 0.0499 data_time: 0.0065 memory: 679 2022/12/03 14:00:28 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:03:11 time: 0.0575 data_time: 0.0089 memory: 733 2022/12/03 14:00:29 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:03:09 time: 0.0564 data_time: 0.0075 memory: 733 2022/12/03 14:00:31 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:03:09 time: 0.0625 data_time: 0.0110 memory: 733 2022/12/03 14:00:32 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:03:07 time: 0.0566 data_time: 0.0081 memory: 733 2022/12/03 14:00:33 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:03:06 time: 0.0496 data_time: 0.0055 memory: 702 2022/12/03 14:00:34 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:03:05 time: 0.0568 data_time: 0.0089 memory: 702 2022/12/03 14:00:35 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:03:04 time: 0.0518 data_time: 0.0080 memory: 702 2022/12/03 14:00:36 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:03:03 time: 0.0550 data_time: 0.0071 memory: 702 2022/12/03 14:00:37 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:03:02 time: 0.0581 data_time: 0.0079 memory: 733 2022/12/03 14:00:38 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:03:01 time: 0.0584 data_time: 0.0085 memory: 733 2022/12/03 14:00:40 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:03:00 time: 0.0643 data_time: 0.0097 memory: 733 2022/12/03 14:00:41 - mmengine - INFO - Epoch(val) [9][3080/6282] eta: 0:02:59 time: 0.0602 data_time: 0.0090 memory: 733 2022/12/03 14:00:42 - mmengine - INFO - Epoch(val) [9][3100/6282] eta: 0:02:58 time: 0.0564 data_time: 0.0118 memory: 733 2022/12/03 14:00:43 - mmengine - INFO - Epoch(val) [9][3120/6282] eta: 0:02:56 time: 0.0538 data_time: 0.0073 memory: 679 2022/12/03 14:00:44 - mmengine - INFO - Epoch(val) [9][3140/6282] eta: 0:02:55 time: 0.0529 data_time: 0.0097 memory: 679 2022/12/03 14:00:45 - mmengine - INFO - Epoch(val) [9][3160/6282] eta: 0:02:54 time: 0.0503 data_time: 0.0072 memory: 679 2022/12/03 14:00:46 - mmengine - INFO - Epoch(val) [9][3180/6282] eta: 0:02:53 time: 0.0533 data_time: 0.0071 memory: 679 2022/12/03 14:00:47 - mmengine - INFO - Epoch(val) [9][3200/6282] eta: 0:02:52 time: 0.0526 data_time: 0.0055 memory: 733 2022/12/03 14:00:48 - mmengine - INFO - Epoch(val) [9][3220/6282] eta: 0:02:50 time: 0.0553 data_time: 0.0073 memory: 733 2022/12/03 14:00:50 - mmengine - INFO - Epoch(val) [9][3240/6282] eta: 0:02:49 time: 0.0579 data_time: 0.0089 memory: 733 2022/12/03 14:00:51 - mmengine - INFO - Epoch(val) [9][3260/6282] eta: 0:02:48 time: 0.0545 data_time: 0.0060 memory: 733 2022/12/03 14:00:52 - mmengine - INFO - Epoch(val) [9][3280/6282] eta: 0:02:47 time: 0.0578 data_time: 0.0081 memory: 733 2022/12/03 14:00:53 - mmengine - INFO - Epoch(val) [9][3300/6282] eta: 0:02:46 time: 0.0562 data_time: 0.0076 memory: 733 2022/12/03 14:00:54 - mmengine - INFO - Epoch(val) [9][3320/6282] eta: 0:02:45 time: 0.0563 data_time: 0.0083 memory: 733 2022/12/03 14:00:55 - mmengine - INFO - Epoch(val) [9][3340/6282] eta: 0:02:44 time: 0.0560 data_time: 0.0085 memory: 733 2022/12/03 14:00:56 - mmengine - INFO - Epoch(val) [9][3360/6282] eta: 0:02:43 time: 0.0555 data_time: 0.0065 memory: 733 2022/12/03 14:00:57 - mmengine - INFO - Epoch(val) [9][3380/6282] eta: 0:02:42 time: 0.0553 data_time: 0.0064 memory: 733 2022/12/03 14:00:58 - mmengine - INFO - Epoch(val) [9][3400/6282] eta: 0:02:40 time: 0.0499 data_time: 0.0073 memory: 674 2022/12/03 14:00:59 - mmengine - INFO - Epoch(val) 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0:02:30 time: 0.0555 data_time: 0.0094 memory: 716 2022/12/03 14:01:09 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:02:29 time: 0.0520 data_time: 0.0068 memory: 716 2022/12/03 14:01:10 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:02:27 time: 0.0542 data_time: 0.0093 memory: 716 2022/12/03 14:01:11 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:02:26 time: 0.0540 data_time: 0.0085 memory: 716 2022/12/03 14:01:12 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:02:25 time: 0.0530 data_time: 0.0071 memory: 716 2022/12/03 14:01:13 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:02:24 time: 0.0525 data_time: 0.0068 memory: 733 2022/12/03 14:01:14 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:02:23 time: 0.0584 data_time: 0.0105 memory: 733 2022/12/03 14:01:15 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:02:22 time: 0.0564 data_time: 0.0073 memory: 733 2022/12/03 14:01:17 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:02:21 time: 0.0603 data_time: 0.0116 memory: 733 2022/12/03 14:01:18 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:02:20 time: 0.0554 data_time: 0.0078 memory: 733 2022/12/03 14:01:19 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:02:19 time: 0.0561 data_time: 0.0080 memory: 733 2022/12/03 14:01:20 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:02:18 time: 0.0580 data_time: 0.0057 memory: 733 2022/12/03 14:01:21 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:02:16 time: 0.0561 data_time: 0.0061 memory: 733 2022/12/03 14:01:22 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:02:15 time: 0.0560 data_time: 0.0061 memory: 733 2022/12/03 14:01:23 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:02:14 time: 0.0594 data_time: 0.0117 memory: 733 2022/12/03 14:01:25 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:02:13 time: 0.0550 data_time: 0.0073 memory: 733 2022/12/03 14:01:26 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:02:12 time: 0.0550 data_time: 0.0062 memory: 733 2022/12/03 14:01:27 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:02:11 time: 0.0581 data_time: 0.0074 memory: 733 2022/12/03 14:01:28 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:02:10 time: 0.0590 data_time: 0.0094 memory: 733 2022/12/03 14:01:29 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:02:09 time: 0.0531 data_time: 0.0068 memory: 733 2022/12/03 14:01:30 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:02:08 time: 0.0553 data_time: 0.0079 memory: 733 2022/12/03 14:01:31 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:02:06 time: 0.0515 data_time: 0.0071 memory: 733 2022/12/03 14:01:32 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:02:05 time: 0.0531 data_time: 0.0072 memory: 733 2022/12/03 14:01:33 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:02:04 time: 0.0512 data_time: 0.0062 memory: 812 2022/12/03 14:01:34 - mmengine - INFO - Epoch(val) [9][4060/6282] eta: 0:02:03 time: 0.0578 data_time: 0.0070 memory: 812 2022/12/03 14:01:36 - mmengine - INFO - Epoch(val) [9][4080/6282] eta: 0:02:02 time: 0.0608 data_time: 0.0081 memory: 812 2022/12/03 14:01:37 - mmengine - INFO - Epoch(val) [9][4100/6282] eta: 0:02:01 time: 0.0633 data_time: 0.0075 memory: 812 2022/12/03 14:01:38 - mmengine - INFO - Epoch(val) [9][4120/6282] eta: 0:02:00 time: 0.0630 data_time: 0.0086 memory: 812 2022/12/03 14:01:39 - mmengine - INFO - Epoch(val) [9][4140/6282] eta: 0:01:59 time: 0.0571 data_time: 0.0053 memory: 812 2022/12/03 14:01:40 - mmengine - INFO - Epoch(val) [9][4160/6282] eta: 0:01:58 time: 0.0554 data_time: 0.0083 memory: 674 2022/12/03 14:01:42 - mmengine - INFO - Epoch(val) [9][4180/6282] eta: 0:01:57 time: 0.0534 data_time: 0.0081 memory: 674 2022/12/03 14:01:43 - mmengine - INFO - Epoch(val) [9][4200/6282] eta: 0:01:55 time: 0.0526 data_time: 0.0070 memory: 674 2022/12/03 14:01:44 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:01:54 time: 0.0552 data_time: 0.0130 memory: 674 2022/12/03 14:01:45 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:01:53 time: 0.0499 data_time: 0.0070 memory: 674 2022/12/03 14:01:46 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:01:52 time: 0.0504 data_time: 0.0079 memory: 673 2022/12/03 14:01:47 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:01:51 time: 0.0498 data_time: 0.0067 memory: 673 2022/12/03 14:01:48 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:01:50 time: 0.0508 data_time: 0.0078 memory: 673 2022/12/03 14:01:49 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:01:48 time: 0.0476 data_time: 0.0059 memory: 673 2022/12/03 14:01:50 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:01:47 time: 0.0487 data_time: 0.0070 memory: 673 2022/12/03 14:01:51 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:01:46 time: 0.0572 data_time: 0.0072 memory: 733 2022/12/03 14:01:52 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:01:45 time: 0.0536 data_time: 0.0075 memory: 733 2022/12/03 14:01:53 - mmengine - INFO - Epoch(val) 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data_time: 0.0074 memory: 740 2022/12/03 14:02:12 - mmengine - INFO - Epoch(val) [9][4740/6282] eta: 0:01:25 time: 0.0535 data_time: 0.0075 memory: 699 2022/12/03 14:02:13 - mmengine - INFO - Epoch(val) [9][4760/6282] eta: 0:01:24 time: 0.0510 data_time: 0.0086 memory: 699 2022/12/03 14:02:14 - mmengine - INFO - Epoch(val) [9][4780/6282] eta: 0:01:23 time: 0.0538 data_time: 0.0078 memory: 699 2022/12/03 14:02:15 - mmengine - INFO - Epoch(val) [9][4800/6282] eta: 0:01:22 time: 0.0494 data_time: 0.0057 memory: 699 2022/12/03 14:02:16 - mmengine - INFO - Epoch(val) [9][4820/6282] eta: 0:01:20 time: 0.0528 data_time: 0.0075 memory: 733 2022/12/03 14:02:17 - mmengine - INFO - Epoch(val) [9][4840/6282] eta: 0:01:19 time: 0.0568 data_time: 0.0087 memory: 733 2022/12/03 14:02:18 - mmengine - INFO - Epoch(val) [9][4860/6282] eta: 0:01:18 time: 0.0545 data_time: 0.0066 memory: 733 2022/12/03 14:02:19 - mmengine - INFO - Epoch(val) [9][4880/6282] eta: 0:01:17 time: 0.0552 data_time: 0.0059 memory: 733 2022/12/03 14:02:20 - mmengine - INFO - Epoch(val) [9][4900/6282] eta: 0:01:16 time: 0.0543 data_time: 0.0061 memory: 733 2022/12/03 14:02:21 - mmengine - INFO - Epoch(val) [9][4920/6282] eta: 0:01:15 time: 0.0566 data_time: 0.0059 memory: 736 2022/12/03 14:02:23 - mmengine - INFO - Epoch(val) [9][4940/6282] eta: 0:01:14 time: 0.0579 data_time: 0.0066 memory: 736 2022/12/03 14:02:24 - mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:13 time: 0.0564 data_time: 0.0075 memory: 736 2022/12/03 14:02:25 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:12 time: 0.0558 data_time: 0.0084 memory: 736 2022/12/03 14:02:26 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:01:10 time: 0.0541 data_time: 0.0060 memory: 736 2022/12/03 14:02:27 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:01:09 time: 0.0545 data_time: 0.0080 memory: 736 2022/12/03 14:02:28 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:01:08 time: 0.0546 data_time: 0.0079 memory: 679 2022/12/03 14:02:29 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:01:07 time: 0.0519 data_time: 0.0079 memory: 679 2022/12/03 14:02:30 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:01:06 time: 0.0540 data_time: 0.0107 memory: 679 2022/12/03 14:02:31 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:01:05 time: 0.0559 data_time: 0.0082 memory: 679 2022/12/03 14:02:32 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:01:04 time: 0.0595 data_time: 0.0099 memory: 679 2022/12/03 14:02:33 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:01:03 time: 0.0482 data_time: 0.0065 memory: 674 2022/12/03 14:02:35 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:01:02 time: 0.0542 data_time: 0.0097 memory: 674 2022/12/03 14:02:36 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:01:00 time: 0.0506 data_time: 0.0058 memory: 674 2022/12/03 14:02:37 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:00:59 time: 0.0520 data_time: 0.0069 memory: 674 2022/12/03 14:02:38 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:00:58 time: 0.0554 data_time: 0.0093 memory: 674 2022/12/03 14:02:39 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:00:57 time: 0.0517 data_time: 0.0079 memory: 673 2022/12/03 14:02:40 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:00:56 time: 0.0526 data_time: 0.0062 memory: 673 2022/12/03 14:02:41 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:00:55 time: 0.0532 data_time: 0.0074 memory: 673 2022/12/03 14:02:42 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:00:54 time: 0.0524 data_time: 0.0061 memory: 673 2022/12/03 14:02:43 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:00:53 time: 0.0509 data_time: 0.0070 memory: 674 2022/12/03 14:02:44 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:00:52 time: 0.0538 data_time: 0.0071 memory: 674 2022/12/03 14:02:45 - mmengine - INFO - Epoch(val) [9][5360/6282] eta: 0:00:50 time: 0.0500 data_time: 0.0065 memory: 674 2022/12/03 14:02:46 - mmengine - INFO - Epoch(val) [9][5380/6282] eta: 0:00:49 time: 0.0536 data_time: 0.0083 memory: 674 2022/12/03 14:02:47 - mmengine - INFO - Epoch(val) [9][5400/6282] eta: 0:00:48 time: 0.0512 data_time: 0.0072 memory: 674 2022/12/03 14:02:48 - mmengine - INFO - Epoch(val) [9][5420/6282] eta: 0:00:47 time: 0.0496 data_time: 0.0056 memory: 674 2022/12/03 14:02:49 - mmengine - INFO - Epoch(val) [9][5440/6282] eta: 0:00:46 time: 0.0536 data_time: 0.0089 memory: 674 2022/12/03 14:02:50 - mmengine - INFO - Epoch(val) [9][5460/6282] eta: 0:00:45 time: 0.0546 data_time: 0.0100 memory: 674 2022/12/03 14:02:51 - mmengine - INFO - Epoch(val) [9][5480/6282] eta: 0:00:44 time: 0.0545 data_time: 0.0079 memory: 674 2022/12/03 14:02:52 - mmengine - INFO - Epoch(val) [9][5500/6282] eta: 0:00:43 time: 0.0510 data_time: 0.0067 memory: 674 2022/12/03 14:02:53 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:42 time: 0.0506 data_time: 0.0077 memory: 695 2022/12/03 14:02:55 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:40 time: 0.0541 data_time: 0.0078 memory: 695 2022/12/03 14:02:56 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:39 time: 0.0525 data_time: 0.0070 memory: 695 2022/12/03 14:02:57 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:38 time: 0.0547 data_time: 0.0093 memory: 695 2022/12/03 14:02:58 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:37 time: 0.0508 data_time: 0.0066 memory: 695 2022/12/03 14:02:59 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:36 time: 0.0509 data_time: 0.0072 memory: 695 2022/12/03 14:03:00 - mmengine - INFO - Epoch(val) [9][5640/6282] eta: 0:00:35 time: 0.0547 data_time: 0.0097 memory: 674 2022/12/03 14:03:01 - mmengine - INFO - Epoch(val) [9][5660/6282] eta: 0:00:34 time: 0.0515 data_time: 0.0060 memory: 674 2022/12/03 14:03:02 - mmengine - INFO - Epoch(val) [9][5680/6282] eta: 0:00:33 time: 0.0511 data_time: 0.0081 memory: 674 2022/12/03 14:03:03 - mmengine - INFO - Epoch(val) [9][5700/6282] eta: 0:00:32 time: 0.0545 data_time: 0.0078 memory: 674 2022/12/03 14:03:04 - mmengine - INFO - Epoch(val) [9][5720/6282] eta: 0:00:30 time: 0.0529 data_time: 0.0074 memory: 708 2022/12/03 14:03:05 - mmengine - INFO - Epoch(val) [9][5740/6282] eta: 0:00:29 time: 0.0514 data_time: 0.0064 memory: 708 2022/12/03 14:03:06 - mmengine - INFO - Epoch(val) [9][5760/6282] eta: 0:00:28 time: 0.0536 data_time: 0.0100 memory: 708 2022/12/03 14:03:07 - mmengine - INFO - Epoch(val) [9][5780/6282] eta: 0:00:27 time: 0.0552 data_time: 0.0076 memory: 708 2022/12/03 14:03:08 - mmengine - INFO - Epoch(val) [9][5800/6282] eta: 0:00:26 time: 0.0509 data_time: 0.0062 memory: 708 2022/12/03 14:03:09 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:25 time: 0.0543 data_time: 0.0081 memory: 708 2022/12/03 14:03:10 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:24 time: 0.0526 data_time: 0.0056 memory: 695 2022/12/03 14:03:12 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:23 time: 0.0560 data_time: 0.0082 memory: 695 2022/12/03 14:03:13 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:22 time: 0.0505 data_time: 0.0059 memory: 695 2022/12/03 14:03:14 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:21 time: 0.0517 data_time: 0.0072 memory: 695 2022/12/03 14:03:15 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:19 time: 0.0493 data_time: 0.0044 memory: 695 2022/12/03 14:03:16 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:18 time: 0.0486 data_time: 0.0065 memory: 674 2022/12/03 14:03:17 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:17 time: 0.0536 data_time: 0.0095 memory: 674 2022/12/03 14:03:18 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:16 time: 0.0533 data_time: 0.0076 memory: 674 2022/12/03 14:03:19 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:15 time: 0.0552 data_time: 0.0092 memory: 733 2022/12/03 14:03:20 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:14 time: 0.0541 data_time: 0.0064 memory: 733 2022/12/03 14:03:21 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:13 time: 0.0542 data_time: 0.0058 memory: 733 2022/12/03 14:03:22 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:12 time: 0.0575 data_time: 0.0064 memory: 733 2022/12/03 14:03:24 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:11 time: 0.0669 data_time: 0.0198 memory: 733 2022/12/03 14:03:25 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:10 time: 0.0568 data_time: 0.0075 memory: 733 2022/12/03 14:03:26 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:08 time: 0.0575 data_time: 0.0079 memory: 733 2022/12/03 14:03:27 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:07 time: 0.0529 data_time: 0.0067 memory: 733 2022/12/03 14:03:28 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:06 time: 0.0515 data_time: 0.0057 memory: 733 2022/12/03 14:03:29 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:05 time: 0.0550 data_time: 0.0059 memory: 733 2022/12/03 14:03:30 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:04 time: 0.0454 data_time: 0.0045 memory: 733 2022/12/03 14:03:31 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:03 time: 0.0403 data_time: 0.0038 memory: 733 2022/12/03 14:03:32 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:02 time: 0.0400 data_time: 0.0038 memory: 733 2022/12/03 14:03:32 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:01 time: 0.0364 data_time: 0.0027 memory: 733 2022/12/03 14:03:33 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0383 data_time: 0.0025 memory: 733 2022/12/03 14:07:59 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.2608 2022/12/03 14:07:59 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_7.pth is removed 2022/12/03 14:08:01 - mmengine - INFO - The best checkpoint with 0.2608 mAP/mAP@0.5IOU at 9 epoch is saved to best_mAP/mAP@0.5IOU_epoch_9.pth. 2022/12/03 14:08:09 - mmengine - INFO - Epoch(train) [10][ 20/4451] lr: 3.7740e-03 eta: 0:24:43 time: 0.3788 data_time: 0.0500 memory: 8510 grad_norm: 0.1813 loss: 0.0365 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.6111 recall@top3: 0.7222 prec@top3: 0.6389 recall@top5: 0.7882 prec@top5: 0.4333 loss_action_cls: 0.0365 2022/12/03 14:08:15 - mmengine - INFO - Epoch(train) [10][ 40/4451] lr: 3.7405e-03 eta: 0:24:37 time: 0.3335 data_time: 0.0112 memory: 8510 grad_norm: 0.1823 loss: 0.0401 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.7689 recall@top3: 0.8295 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4273 loss_action_cls: 0.0401 2022/12/03 14:08:22 - mmengine - INFO - Epoch(train) [10][ 60/4451] lr: 3.7070e-03 eta: 0:24:30 time: 0.3354 data_time: 0.0135 memory: 8510 grad_norm: 0.1860 loss: 0.0377 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7287 recall@top3: 0.8889 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4556 loss_action_cls: 0.0377 2022/12/03 14:08:29 - mmengine - INFO - Epoch(train) [10][ 80/4451] lr: 3.6738e-03 eta: 0:24:23 time: 0.3364 data_time: 0.0131 memory: 8510 grad_norm: 0.1694 loss: 0.0396 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8627 recall@top3: 0.8922 prec@top3: 0.6078 recall@top5: 0.9216 prec@top5: 0.3882 loss_action_cls: 0.0396 2022/12/03 14:08:36 - mmengine - INFO - Epoch(train) [10][ 100/4451] lr: 3.6407e-03 eta: 0:24:17 time: 0.3350 data_time: 0.0133 memory: 8510 grad_norm: 0.1807 loss: 0.0401 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.4405 recall@top3: 0.6101 prec@top3: 0.4524 recall@top5: 0.7857 prec@top5: 0.3357 loss_action_cls: 0.0401 2022/12/03 14:08:42 - mmengine - INFO - Epoch(train) [10][ 120/4451] lr: 3.6077e-03 eta: 0:24:10 time: 0.3358 data_time: 0.0125 memory: 8510 grad_norm: 0.1792 loss: 0.0404 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6204 recall@top3: 0.8426 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.3667 loss_action_cls: 0.0404 2022/12/03 14:08:49 - mmengine - INFO - Epoch(train) [10][ 140/4451] lr: 3.5748e-03 eta: 0:24:03 time: 0.3351 data_time: 0.0113 memory: 8510 grad_norm: 0.1761 loss: 0.0367 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.5675 recall@top3: 0.7024 prec@top3: 0.5873 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0367 2022/12/03 14:08:56 - mmengine - INFO - Epoch(train) [10][ 160/4451] lr: 3.5422e-03 eta: 0:23:57 time: 0.3346 data_time: 0.0141 memory: 8510 grad_norm: 0.1804 loss: 0.0407 recall@thr=0.5: 0.4948 prec@thr=0.5: 0.7812 recall@top3: 0.7969 prec@top3: 0.6875 recall@top5: 0.9271 prec@top5: 0.4875 loss_action_cls: 0.0407 2022/12/03 14:09:02 - mmengine - INFO - Epoch(train) [10][ 180/4451] lr: 3.5096e-03 eta: 0:23:50 time: 0.3340 data_time: 0.0119 memory: 8510 grad_norm: 0.1799 loss: 0.0435 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.9474 recall@top3: 0.9035 prec@top3: 0.7368 recall@top5: 0.9386 prec@top5: 0.4632 loss_action_cls: 0.0435 2022/12/03 14:09:09 - mmengine - INFO - Epoch(train) [10][ 200/4451] lr: 3.4772e-03 eta: 0:23:43 time: 0.3363 data_time: 0.0168 memory: 8510 grad_norm: 0.1796 loss: 0.0385 recall@thr=0.5: 0.6623 prec@thr=0.5: 0.7982 recall@top3: 0.8026 prec@top3: 0.5965 recall@top5: 0.9342 prec@top5: 0.4211 loss_action_cls: 0.0385 2022/12/03 14:09:16 - mmengine - INFO - Epoch(train) [10][ 220/4451] lr: 3.4450e-03 eta: 0:23:36 time: 0.3351 data_time: 0.0135 memory: 8510 grad_norm: 0.1741 loss: 0.0388 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.8140 recall@top3: 0.7158 prec@top3: 0.7018 recall@top5: 0.9368 prec@top5: 0.5895 loss_action_cls: 0.0388 2022/12/03 14:09:23 - mmengine - INFO - Epoch(train) [10][ 240/4451] lr: 3.4129e-03 eta: 0:23:30 time: 0.3367 data_time: 0.0146 memory: 8510 grad_norm: 0.1771 loss: 0.0405 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.5962 recall@top3: 0.7564 prec@top3: 0.3590 recall@top5: 0.8077 prec@top5: 0.2462 loss_action_cls: 0.0405 2022/12/03 14:09:29 - mmengine - INFO - Epoch(train) [10][ 260/4451] lr: 3.3809e-03 eta: 0:23:23 time: 0.3365 data_time: 0.0115 memory: 8510 grad_norm: 0.1802 loss: 0.0350 recall@thr=0.5: 0.6636 prec@thr=0.5: 0.8280 recall@top3: 0.7629 prec@top3: 0.7424 recall@top5: 0.9432 prec@top5: 0.5727 loss_action_cls: 0.0350 2022/12/03 14:09:36 - mmengine - INFO - Epoch(train) [10][ 280/4451] lr: 3.3491e-03 eta: 0:23:16 time: 0.3349 data_time: 0.0133 memory: 8510 grad_norm: 0.1845 loss: 0.0381 recall@thr=0.5: 0.7254 prec@thr=0.5: 0.7862 recall@top3: 0.8384 prec@top3: 0.7246 recall@top5: 0.8877 prec@top5: 0.4783 loss_action_cls: 0.0381 2022/12/03 14:09:43 - mmengine - INFO - Epoch(train) [10][ 300/4451] lr: 3.3174e-03 eta: 0:23:10 time: 0.3342 data_time: 0.0125 memory: 8510 grad_norm: 0.1802 loss: 0.0413 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6970 recall@top3: 0.7652 prec@top3: 0.5758 recall@top5: 0.8939 prec@top5: 0.4091 loss_action_cls: 0.0413 2022/12/03 14:09:49 - mmengine - INFO - Epoch(train) [10][ 320/4451] lr: 3.2859e-03 eta: 0:23:03 time: 0.3366 data_time: 0.0142 memory: 8510 grad_norm: 0.1728 loss: 0.0389 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8333 recall@top3: 0.7976 prec@top3: 0.6508 recall@top5: 0.9325 prec@top5: 0.4571 loss_action_cls: 0.0389 2022/12/03 14:09:56 - mmengine - INFO - Epoch(train) [10][ 340/4451] lr: 3.2545e-03 eta: 0:22:56 time: 0.3333 data_time: 0.0104 memory: 8510 grad_norm: 0.1783 loss: 0.0391 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8021 recall@top3: 0.8438 prec@top3: 0.5625 recall@top5: 0.9219 prec@top5: 0.3875 loss_action_cls: 0.0391 2022/12/03 14:10:03 - mmengine - INFO - Epoch(train) [10][ 360/4451] lr: 3.2232e-03 eta: 0:22:50 time: 0.3371 data_time: 0.0126 memory: 8510 grad_norm: 0.1832 loss: 0.0412 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.4412 recall@top3: 0.8922 prec@top3: 0.5882 recall@top5: 0.9314 prec@top5: 0.3765 loss_action_cls: 0.0412 2022/12/03 14:10:10 - mmengine - INFO - Epoch(train) [10][ 380/4451] lr: 3.1922e-03 eta: 0:22:43 time: 0.3363 data_time: 0.0131 memory: 8510 grad_norm: 0.1846 loss: 0.0438 recall@thr=0.5: 0.5348 prec@thr=0.5: 0.5710 recall@top3: 0.7051 prec@top3: 0.5217 recall@top5: 0.8159 prec@top5: 0.4000 loss_action_cls: 0.0438 2022/12/03 14:10:16 - mmengine - INFO - Epoch(train) [10][ 400/4451] lr: 3.1612e-03 eta: 0:22:36 time: 0.3350 data_time: 0.0127 memory: 8510 grad_norm: 0.1769 loss: 0.0392 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.9020 recall@top3: 0.8676 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.4353 loss_action_cls: 0.0392 2022/12/03 14:10:23 - mmengine - INFO - Epoch(train) [10][ 420/4451] lr: 3.1304e-03 eta: 0:22:29 time: 0.3329 data_time: 0.0124 memory: 8510 grad_norm: 0.1805 loss: 0.0424 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7778 recall@top3: 0.7460 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4857 loss_action_cls: 0.0424 2022/12/03 14:10:30 - mmengine - INFO - Epoch(train) [10][ 440/4451] lr: 3.0998e-03 eta: 0:22:23 time: 0.3344 data_time: 0.0143 memory: 8510 grad_norm: 0.1750 loss: 0.0389 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.9167 recall@top3: 0.8889 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0389 2022/12/03 14:10:36 - mmengine - INFO - Epoch(train) [10][ 460/4451] lr: 3.0692e-03 eta: 0:22:16 time: 0.3360 data_time: 0.0114 memory: 8510 grad_norm: 0.1785 loss: 0.0387 recall@thr=0.5: 0.8676 prec@thr=0.5: 0.7745 recall@top3: 0.9265 prec@top3: 0.7451 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0387 2022/12/03 14:10:43 - mmengine - INFO - Epoch(train) [10][ 480/4451] lr: 3.0389e-03 eta: 0:22:09 time: 0.3360 data_time: 0.0116 memory: 8510 grad_norm: 0.1827 loss: 0.0402 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6786 recall@top3: 0.7302 prec@top3: 0.5873 recall@top5: 0.8333 prec@top5: 0.4095 loss_action_cls: 0.0402 2022/12/03 14:10:50 - mmengine - INFO - Epoch(train) [10][ 500/4451] lr: 3.0087e-03 eta: 0:22:03 time: 0.3340 data_time: 0.0137 memory: 8510 grad_norm: 0.1780 loss: 0.0380 recall@thr=0.5: 0.8011 prec@thr=0.5: 0.8763 recall@top3: 0.8602 prec@top3: 0.7419 recall@top5: 0.9516 prec@top5: 0.5032 loss_action_cls: 0.0380 2022/12/03 14:10:56 - mmengine - INFO - Epoch(train) [10][ 520/4451] lr: 2.9786e-03 eta: 0:21:56 time: 0.3364 data_time: 0.0117 memory: 8510 grad_norm: 0.1861 loss: 0.0347 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.9375 recall@top3: 0.9375 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.3875 loss_action_cls: 0.0347 2022/12/03 14:11:03 - mmengine - INFO - Epoch(train) [10][ 540/4451] lr: 2.9487e-03 eta: 0:21:49 time: 0.3352 data_time: 0.0115 memory: 8510 grad_norm: 0.1817 loss: 0.0406 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8241 recall@top3: 0.7917 prec@top3: 0.7037 recall@top5: 0.8843 prec@top5: 0.4778 loss_action_cls: 0.0406 2022/12/03 14:11:10 - mmengine - INFO - Epoch(train) [10][ 560/4451] lr: 2.9189e-03 eta: 0:21:43 time: 0.3355 data_time: 0.0135 memory: 8510 grad_norm: 0.1814 loss: 0.0395 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5889 recall@top3: 0.7194 prec@top3: 0.5556 recall@top5: 0.8472 prec@top5: 0.4067 loss_action_cls: 0.0395 2022/12/03 14:11:17 - mmengine - INFO - Epoch(train) [10][ 580/4451] lr: 2.8893e-03 eta: 0:21:36 time: 0.3357 data_time: 0.0111 memory: 8510 grad_norm: 0.1794 loss: 0.0377 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7000 recall@top3: 0.7833 prec@top3: 0.6833 recall@top5: 0.9042 prec@top5: 0.4800 loss_action_cls: 0.0377 2022/12/03 14:11:23 - mmengine - INFO - Epoch(train) [10][ 600/4451] lr: 2.8598e-03 eta: 0:21:29 time: 0.3356 data_time: 0.0121 memory: 8510 grad_norm: 0.1789 loss: 0.0378 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.8651 recall@top3: 0.9683 prec@top3: 0.7143 recall@top5: 0.9841 prec@top5: 0.4381 loss_action_cls: 0.0378 2022/12/03 14:11:30 - mmengine - INFO - Epoch(train) [10][ 620/4451] lr: 2.8304e-03 eta: 0:21:22 time: 0.3338 data_time: 0.0119 memory: 8510 grad_norm: 0.1777 loss: 0.0399 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.6032 recall@top3: 0.8532 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.4667 loss_action_cls: 0.0399 2022/12/03 14:11:37 - mmengine - INFO - Epoch(train) [10][ 640/4451] lr: 2.8013e-03 eta: 0:21:16 time: 0.3356 data_time: 0.0118 memory: 8510 grad_norm: 0.1783 loss: 0.0381 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.6491 recall@top3: 0.7895 prec@top3: 0.6667 recall@top5: 0.8947 prec@top5: 0.4316 loss_action_cls: 0.0381 2022/12/03 14:11:43 - mmengine - INFO - Epoch(train) [10][ 660/4451] lr: 2.7722e-03 eta: 0:21:09 time: 0.3350 data_time: 0.0139 memory: 8510 grad_norm: 0.1737 loss: 0.0401 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6190 recall@top3: 0.8095 prec@top3: 0.5714 recall@top5: 0.9405 prec@top5: 0.4000 loss_action_cls: 0.0401 2022/12/03 14:11:50 - mmengine - INFO - Epoch(train) [10][ 680/4451] lr: 2.7433e-03 eta: 0:21:02 time: 0.3355 data_time: 0.0118 memory: 8510 grad_norm: 0.1786 loss: 0.0402 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.8333 recall@top3: 0.8043 prec@top3: 0.6812 recall@top5: 0.8406 prec@top5: 0.4348 loss_action_cls: 0.0402 2022/12/03 14:11:57 - mmengine - INFO - Epoch(train) [10][ 700/4451] lr: 2.7146e-03 eta: 0:20:56 time: 0.3337 data_time: 0.0138 memory: 8510 grad_norm: 0.1741 loss: 0.0362 recall@thr=0.5: 0.7233 prec@thr=0.5: 0.7933 recall@top3: 0.8233 prec@top3: 0.7067 recall@top5: 0.9033 prec@top5: 0.4880 loss_action_cls: 0.0362 2022/12/03 14:12:03 - mmengine - INFO - Epoch(train) [10][ 720/4451] lr: 2.6860e-03 eta: 0:20:49 time: 0.3355 data_time: 0.0115 memory: 8510 grad_norm: 0.1830 loss: 0.0385 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8241 recall@top3: 0.8426 prec@top3: 0.5185 recall@top5: 1.0000 prec@top5: 0.3778 loss_action_cls: 0.0385 2022/12/03 14:12:10 - mmengine - INFO - Epoch(train) [10][ 740/4451] lr: 2.6575e-03 eta: 0:20:42 time: 0.3415 data_time: 0.0128 memory: 8510 grad_norm: 0.1755 loss: 0.0390 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7031 recall@top3: 0.8177 prec@top3: 0.7500 recall@top5: 0.8958 prec@top5: 0.5125 loss_action_cls: 0.0390 2022/12/03 14:12:17 - mmengine - INFO - Epoch(train) [10][ 760/4451] lr: 2.6292e-03 eta: 0:20:36 time: 0.3357 data_time: 0.0138 memory: 8510 grad_norm: 0.1829 loss: 0.0380 recall@thr=0.5: 0.5600 prec@thr=0.5: 0.5000 recall@top3: 0.8100 prec@top3: 0.4133 recall@top5: 0.8500 prec@top5: 0.2640 loss_action_cls: 0.0380 2022/12/03 14:12:24 - mmengine - INFO - Epoch(train) [10][ 780/4451] lr: 2.6010e-03 eta: 0:20:29 time: 0.3357 data_time: 0.0133 memory: 8510 grad_norm: 0.1792 loss: 0.0392 recall@thr=0.5: 0.7944 prec@thr=0.5: 0.8744 recall@top3: 0.7917 prec@top3: 0.7556 recall@top5: 0.9361 prec@top5: 0.5467 loss_action_cls: 0.0392 2022/12/03 14:12:30 - mmengine - INFO - Epoch(train) [10][ 800/4451] lr: 2.5730e-03 eta: 0:20:22 time: 0.3365 data_time: 0.0145 memory: 8510 grad_norm: 0.1791 loss: 0.0429 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7500 recall@top3: 0.7167 prec@top3: 0.5667 recall@top5: 0.7833 prec@top5: 0.3900 loss_action_cls: 0.0429 2022/12/03 14:12:37 - mmengine - INFO - Epoch(train) [10][ 820/4451] lr: 2.5452e-03 eta: 0:20:16 time: 0.3346 data_time: 0.0115 memory: 8510 grad_norm: 0.1829 loss: 0.0384 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7368 recall@top3: 0.8947 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.3474 loss_action_cls: 0.0384 2022/12/03 14:12:44 - mmengine - INFO - Epoch(train) [10][ 840/4451] lr: 2.5175e-03 eta: 0:20:09 time: 0.3362 data_time: 0.0120 memory: 8510 grad_norm: 0.1811 loss: 0.0427 recall@thr=0.5: 0.7056 prec@thr=0.5: 0.8333 recall@top3: 0.7500 prec@top3: 0.6222 recall@top5: 0.9389 prec@top5: 0.4533 loss_action_cls: 0.0427 2022/12/03 14:12:51 - mmengine - INFO - Epoch(train) [10][ 860/4451] lr: 2.4899e-03 eta: 0:20:02 time: 0.3348 data_time: 0.0127 memory: 8510 grad_norm: 0.1791 loss: 0.0353 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7719 recall@top3: 0.7895 prec@top3: 0.6140 recall@top5: 0.8246 prec@top5: 0.3895 loss_action_cls: 0.0353 2022/12/03 14:12:57 - mmengine - INFO - Epoch(train) [10][ 880/4451] lr: 2.4625e-03 eta: 0:19:55 time: 0.3348 data_time: 0.0114 memory: 8510 grad_norm: 0.1797 loss: 0.0360 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9062 recall@top3: 0.8792 prec@top3: 0.7500 recall@top5: 0.9875 prec@top5: 0.5250 loss_action_cls: 0.0360 2022/12/03 14:13:04 - mmengine - INFO - Epoch(train) [10][ 900/4451] lr: 2.4352e-03 eta: 0:19:49 time: 0.3340 data_time: 0.0121 memory: 8510 grad_norm: 0.1806 loss: 0.0398 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6000 recall@top3: 0.8500 prec@top3: 0.5556 recall@top5: 0.9000 prec@top5: 0.3600 loss_action_cls: 0.0398 2022/12/03 14:13:11 - mmengine - INFO - Epoch(train) [10][ 920/4451] lr: 2.4081e-03 eta: 0:19:42 time: 0.3359 data_time: 0.0116 memory: 8510 grad_norm: 0.1811 loss: 0.0441 recall@thr=0.5: 0.6100 prec@thr=0.5: 0.6067 recall@top3: 0.8167 prec@top3: 0.5867 recall@top5: 0.8967 prec@top5: 0.3920 loss_action_cls: 0.0441 2022/12/03 14:13:17 - mmengine - INFO - Epoch(train) [10][ 940/4451] lr: 2.3811e-03 eta: 0:19:35 time: 0.3362 data_time: 0.0165 memory: 8510 grad_norm: 0.1745 loss: 0.0397 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6282 recall@top3: 0.7179 prec@top3: 0.4615 recall@top5: 0.8590 prec@top5: 0.3538 loss_action_cls: 0.0397 2022/12/03 14:13:18 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 14:13:24 - mmengine - INFO - Epoch(train) [10][ 960/4451] lr: 2.3543e-03 eta: 0:19:29 time: 0.3367 data_time: 0.0117 memory: 8510 grad_norm: 0.1785 loss: 0.0363 recall@thr=0.5: 0.6910 prec@thr=0.5: 0.7778 recall@top3: 0.8993 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0363 2022/12/03 14:13:31 - mmengine - INFO - Epoch(train) [10][ 980/4451] lr: 2.3276e-03 eta: 0:19:22 time: 0.3343 data_time: 0.0129 memory: 8510 grad_norm: 0.1825 loss: 0.0388 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6292 recall@top3: 0.8000 prec@top3: 0.6333 recall@top5: 0.9167 prec@top5: 0.4400 loss_action_cls: 0.0388 2022/12/03 14:13:38 - mmengine - INFO - Epoch(train) [10][1000/4451] lr: 2.3011e-03 eta: 0:19:15 time: 0.3351 data_time: 0.0120 memory: 8510 grad_norm: 0.1863 loss: 0.0422 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7454 recall@top3: 0.8333 prec@top3: 0.5370 recall@top5: 0.9259 prec@top5: 0.3556 loss_action_cls: 0.0422 2022/12/03 14:13:44 - mmengine - INFO - Epoch(train) [10][1020/4451] lr: 2.2747e-03 eta: 0:19:09 time: 0.3340 data_time: 0.0147 memory: 8510 grad_norm: 0.1802 loss: 0.0358 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.7500 recall@top3: 0.8030 prec@top3: 0.6212 recall@top5: 0.9242 prec@top5: 0.4364 loss_action_cls: 0.0358 2022/12/03 14:13:51 - mmengine - INFO - Epoch(train) [10][1040/4451] lr: 2.2484e-03 eta: 0:19:02 time: 0.3352 data_time: 0.0118 memory: 8510 grad_norm: 0.1753 loss: 0.0396 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.5667 recall@top3: 0.7083 prec@top3: 0.5500 recall@top5: 0.8583 prec@top5: 0.3900 loss_action_cls: 0.0396 2022/12/03 14:13:58 - mmengine - INFO - Epoch(train) [10][1060/4451] lr: 2.2224e-03 eta: 0:18:55 time: 0.3358 data_time: 0.0121 memory: 8510 grad_norm: 0.1739 loss: 0.0393 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6556 recall@top3: 0.8722 prec@top3: 0.6444 recall@top5: 0.9722 prec@top5: 0.4467 loss_action_cls: 0.0393 2022/12/03 14:14:04 - mmengine - INFO - Epoch(train) [10][1080/4451] lr: 2.1964e-03 eta: 0:18:48 time: 0.3373 data_time: 0.0117 memory: 8510 grad_norm: 0.1796 loss: 0.0402 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7222 recall@top3: 0.7361 prec@top3: 0.5278 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0402 2022/12/03 14:14:11 - mmengine - INFO - Epoch(train) [10][1100/4451] lr: 2.1706e-03 eta: 0:18:42 time: 0.3352 data_time: 0.0115 memory: 8510 grad_norm: 0.1727 loss: 0.0375 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.7121 recall@top3: 0.9242 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0375 2022/12/03 14:14:18 - mmengine - INFO - Epoch(train) [10][1120/4451] lr: 2.1450e-03 eta: 0:18:35 time: 0.3357 data_time: 0.0116 memory: 8510 grad_norm: 0.1873 loss: 0.0367 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.5764 recall@top3: 0.7222 prec@top3: 0.5972 recall@top5: 0.8958 prec@top5: 0.4583 loss_action_cls: 0.0367 2022/12/03 14:14:25 - mmengine - INFO - Epoch(train) [10][1140/4451] lr: 2.1195e-03 eta: 0:18:28 time: 0.3344 data_time: 0.0115 memory: 8510 grad_norm: 0.1759 loss: 0.0383 recall@thr=0.5: 0.6376 prec@thr=0.5: 0.6667 recall@top3: 0.8247 prec@top3: 0.7527 recall@top5: 0.9570 prec@top5: 0.5613 loss_action_cls: 0.0383 2022/12/03 14:14:31 - mmengine - INFO - Epoch(train) [10][1160/4451] lr: 2.0942e-03 eta: 0:18:22 time: 0.3349 data_time: 0.0114 memory: 8510 grad_norm: 0.1824 loss: 0.0357 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6471 recall@top3: 0.8824 prec@top3: 0.5490 recall@top5: 0.9706 prec@top5: 0.3647 loss_action_cls: 0.0357 2022/12/03 14:14:38 - mmengine - INFO - Epoch(train) [10][1180/4451] lr: 2.0690e-03 eta: 0:18:15 time: 0.3353 data_time: 0.0117 memory: 8510 grad_norm: 0.1783 loss: 0.0389 recall@thr=0.5: 0.5964 prec@thr=0.5: 0.6354 recall@top3: 0.8073 prec@top3: 0.5312 recall@top5: 0.8542 prec@top5: 0.3500 loss_action_cls: 0.0389 2022/12/03 14:14:45 - mmengine - INFO - Epoch(train) [10][1200/4451] lr: 2.0439e-03 eta: 0:18:08 time: 0.3347 data_time: 0.0137 memory: 8510 grad_norm: 0.1839 loss: 0.0408 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7745 recall@top3: 0.8725 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4471 loss_action_cls: 0.0408 2022/12/03 14:14:51 - mmengine - INFO - Epoch(train) [10][1220/4451] lr: 2.0190e-03 eta: 0:18:02 time: 0.3344 data_time: 0.0129 memory: 8510 grad_norm: 0.1802 loss: 0.0383 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7037 recall@top3: 0.8426 prec@top3: 0.5556 recall@top5: 0.8981 prec@top5: 0.3556 loss_action_cls: 0.0383 2022/12/03 14:14:58 - mmengine - INFO - Epoch(train) [10][1240/4451] lr: 1.9943e-03 eta: 0:17:55 time: 0.3351 data_time: 0.0142 memory: 8510 grad_norm: 0.1806 loss: 0.0419 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.6795 recall@top3: 0.7885 prec@top3: 0.6410 recall@top5: 0.8654 prec@top5: 0.4231 loss_action_cls: 0.0419 2022/12/03 14:15:05 - mmengine - INFO - Epoch(train) [10][1260/4451] lr: 1.9697e-03 eta: 0:17:48 time: 0.3357 data_time: 0.0136 memory: 8510 grad_norm: 0.1795 loss: 0.0377 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.5583 recall@top3: 0.8083 prec@top3: 0.5833 recall@top5: 0.9083 prec@top5: 0.3900 loss_action_cls: 0.0377 2022/12/03 14:15:11 - mmengine - INFO - Epoch(train) [10][1280/4451] lr: 1.9452e-03 eta: 0:17:41 time: 0.3377 data_time: 0.0119 memory: 8510 grad_norm: 0.1815 loss: 0.0398 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6667 recall@top3: 0.8095 prec@top3: 0.6905 recall@top5: 0.8333 prec@top5: 0.4286 loss_action_cls: 0.0398 2022/12/03 14:15:18 - mmengine - INFO - Epoch(train) [10][1300/4451] lr: 1.9210e-03 eta: 0:17:35 time: 0.3355 data_time: 0.0121 memory: 8510 grad_norm: 0.1765 loss: 0.0404 recall@thr=0.5: 0.7685 prec@thr=0.5: 1.0000 recall@top3: 0.8611 prec@top3: 0.7222 recall@top5: 0.9491 prec@top5: 0.4778 loss_action_cls: 0.0404 2022/12/03 14:15:25 - mmengine - INFO - Epoch(train) [10][1320/4451] lr: 1.8968e-03 eta: 0:17:28 time: 0.3362 data_time: 0.0154 memory: 8510 grad_norm: 0.1846 loss: 0.0356 recall@thr=0.5: 0.6348 prec@thr=0.5: 0.7424 recall@top3: 0.7697 prec@top3: 0.7576 recall@top5: 0.9432 prec@top5: 0.5636 loss_action_cls: 0.0356 2022/12/03 14:15:32 - mmengine - INFO - Epoch(train) [10][1340/4451] lr: 1.8728e-03 eta: 0:17:21 time: 0.3365 data_time: 0.0148 memory: 8510 grad_norm: 0.1740 loss: 0.0359 recall@thr=0.5: 0.9118 prec@thr=0.5: 0.9412 recall@top3: 0.8971 prec@top3: 0.6667 recall@top5: 0.9559 prec@top5: 0.4471 loss_action_cls: 0.0359 2022/12/03 14:15:38 - mmengine - INFO - Epoch(train) [10][1360/4451] lr: 1.8490e-03 eta: 0:17:15 time: 0.3332 data_time: 0.0135 memory: 8510 grad_norm: 0.1735 loss: 0.0390 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7451 recall@top3: 0.8627 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0390 2022/12/03 14:15:45 - mmengine - INFO - Epoch(train) [10][1380/4451] lr: 1.8253e-03 eta: 0:17:08 time: 0.3329 data_time: 0.0116 memory: 8510 grad_norm: 0.1863 loss: 0.0408 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.6667 recall@top3: 0.7778 prec@top3: 0.5000 recall@top5: 0.9028 prec@top5: 0.3583 loss_action_cls: 0.0408 2022/12/03 14:15:52 - mmengine - INFO - Epoch(train) [10][1400/4451] lr: 1.8017e-03 eta: 0:17:01 time: 0.3339 data_time: 0.0132 memory: 8510 grad_norm: 0.1808 loss: 0.0381 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.8968 recall@top3: 0.9206 prec@top3: 0.7778 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0381 2022/12/03 14:15:58 - mmengine - INFO - Epoch(train) [10][1420/4451] lr: 1.7783e-03 eta: 0:16:55 time: 0.3357 data_time: 0.0137 memory: 8510 grad_norm: 0.1804 loss: 0.0389 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6083 recall@top3: 0.8750 prec@top3: 0.6167 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0389 2022/12/03 14:16:05 - mmengine - INFO - Epoch(train) [10][1440/4451] lr: 1.7551e-03 eta: 0:16:48 time: 0.3333 data_time: 0.0115 memory: 8510 grad_norm: 0.1748 loss: 0.0392 recall@thr=0.5: 0.6375 prec@thr=0.5: 0.7500 recall@top3: 0.6750 prec@top3: 0.5208 recall@top5: 0.8958 prec@top5: 0.4375 loss_action_cls: 0.0392 2022/12/03 14:16:12 - mmengine - INFO - Epoch(train) [10][1460/4451] lr: 1.7320e-03 eta: 0:16:41 time: 0.3338 data_time: 0.0128 memory: 8510 grad_norm: 0.1779 loss: 0.0368 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.6886 recall@top3: 0.7719 prec@top3: 0.6140 recall@top5: 0.9167 prec@top5: 0.4632 loss_action_cls: 0.0368 2022/12/03 14:16:18 - mmengine - INFO - Epoch(train) [10][1480/4451] lr: 1.7090e-03 eta: 0:16:34 time: 0.3354 data_time: 0.0132 memory: 8510 grad_norm: 0.1815 loss: 0.0431 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7008 recall@top3: 0.7689 prec@top3: 0.5606 recall@top5: 0.8788 prec@top5: 0.4091 loss_action_cls: 0.0431 2022/12/03 14:16:25 - mmengine - INFO - Epoch(train) [10][1500/4451] lr: 1.6862e-03 eta: 0:16:28 time: 0.3358 data_time: 0.0150 memory: 8510 grad_norm: 0.1713 loss: 0.0349 recall@thr=0.5: 0.7231 prec@thr=0.5: 0.8226 recall@top3: 0.9140 prec@top3: 0.8172 recall@top5: 1.0000 prec@top5: 0.5548 loss_action_cls: 0.0349 2022/12/03 14:16:32 - mmengine - INFO - Epoch(train) [10][1520/4451] lr: 1.6636e-03 eta: 0:16:21 time: 0.3357 data_time: 0.0124 memory: 8510 grad_norm: 0.1787 loss: 0.0388 recall@thr=0.5: 0.5269 prec@thr=0.5: 0.6022 recall@top3: 0.7661 prec@top3: 0.5699 recall@top5: 0.9409 prec@top5: 0.4194 loss_action_cls: 0.0388 2022/12/03 14:16:39 - mmengine - INFO - Epoch(train) [10][1540/4451] lr: 1.6411e-03 eta: 0:16:14 time: 0.3339 data_time: 0.0119 memory: 8510 grad_norm: 0.1782 loss: 0.0386 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.6544 recall@top3: 0.8026 prec@top3: 0.4386 recall@top5: 0.8947 prec@top5: 0.3053 loss_action_cls: 0.0386 2022/12/03 14:16:45 - mmengine - INFO - Epoch(train) [10][1560/4451] lr: 1.6188e-03 eta: 0:16:08 time: 0.3342 data_time: 0.0139 memory: 8510 grad_norm: 0.1788 loss: 0.0404 recall@thr=0.5: 0.7146 prec@thr=0.5: 0.7792 recall@top3: 0.7521 prec@top3: 0.5417 recall@top5: 0.8188 prec@top5: 0.3750 loss_action_cls: 0.0404 2022/12/03 14:16:52 - mmengine - INFO - Epoch(train) [10][1580/4451] lr: 1.5966e-03 eta: 0:16:01 time: 0.3337 data_time: 0.0111 memory: 8510 grad_norm: 0.1805 loss: 0.0389 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.7273 recall@top3: 0.8030 prec@top3: 0.5455 recall@top5: 0.9773 prec@top5: 0.4000 loss_action_cls: 0.0389 2022/12/03 14:16:59 - mmengine - INFO - Epoch(train) [10][1600/4451] lr: 1.5745e-03 eta: 0:15:54 time: 0.3354 data_time: 0.0124 memory: 8510 grad_norm: 0.1743 loss: 0.0339 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8509 recall@top3: 0.7456 prec@top3: 0.5614 recall@top5: 0.9035 prec@top5: 0.4211 loss_action_cls: 0.0339 2022/12/03 14:17:05 - mmengine - INFO - Epoch(train) [10][1620/4451] lr: 1.5526e-03 eta: 0:15:48 time: 0.3343 data_time: 0.0143 memory: 8510 grad_norm: 0.1762 loss: 0.0431 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8437 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.3750 loss_action_cls: 0.0431 2022/12/03 14:17:12 - mmengine - INFO - Epoch(train) [10][1640/4451] lr: 1.5309e-03 eta: 0:15:41 time: 0.3347 data_time: 0.0123 memory: 8510 grad_norm: 0.1729 loss: 0.0361 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8833 recall@top3: 0.7250 prec@top3: 0.5167 recall@top5: 0.8750 prec@top5: 0.3600 loss_action_cls: 0.0361 2022/12/03 14:17:19 - mmengine - INFO - Epoch(train) [10][1660/4451] lr: 1.5093e-03 eta: 0:15:34 time: 0.3372 data_time: 0.0135 memory: 8510 grad_norm: 0.1816 loss: 0.0369 recall@thr=0.5: 0.8342 prec@thr=0.5: 0.8596 recall@top3: 0.9132 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0369 2022/12/03 14:17:26 - mmengine - INFO - Epoch(train) [10][1680/4451] lr: 1.4879e-03 eta: 0:15:28 time: 0.3379 data_time: 0.0152 memory: 8510 grad_norm: 0.1872 loss: 0.0407 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7500 recall@top3: 0.8083 prec@top3: 0.5167 recall@top5: 0.8833 prec@top5: 0.3300 loss_action_cls: 0.0407 2022/12/03 14:17:32 - mmengine - INFO - Epoch(train) [10][1700/4451] lr: 1.4666e-03 eta: 0:15:21 time: 0.3353 data_time: 0.0129 memory: 8510 grad_norm: 0.1797 loss: 0.0424 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7456 recall@top3: 0.8158 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.5474 loss_action_cls: 0.0424 2022/12/03 14:17:39 - mmengine - INFO - Epoch(train) [10][1720/4451] lr: 1.4454e-03 eta: 0:15:14 time: 0.3361 data_time: 0.0148 memory: 8510 grad_norm: 0.1863 loss: 0.0422 recall@thr=0.5: 0.4681 prec@thr=0.5: 0.6354 recall@top3: 0.7306 prec@top3: 0.6389 recall@top5: 0.9271 prec@top5: 0.5167 loss_action_cls: 0.0422 2022/12/03 14:17:46 - mmengine - INFO - Epoch(train) [10][1740/4451] lr: 1.4245e-03 eta: 0:15:07 time: 0.3344 data_time: 0.0150 memory: 8510 grad_norm: 0.1774 loss: 0.0356 recall@thr=0.5: 0.7854 prec@thr=0.5: 0.8030 recall@top3: 0.8687 prec@top3: 0.8283 recall@top5: 0.9798 prec@top5: 0.5758 loss_action_cls: 0.0356 2022/12/03 14:17:52 - mmengine - INFO - Epoch(train) [10][1760/4451] lr: 1.4036e-03 eta: 0:15:01 time: 0.3350 data_time: 0.0127 memory: 8510 grad_norm: 0.1819 loss: 0.0377 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7167 recall@top3: 0.8000 prec@top3: 0.7333 recall@top5: 0.8667 prec@top5: 0.4800 loss_action_cls: 0.0377 2022/12/03 14:17:59 - mmengine - INFO - Epoch(train) [10][1780/4451] lr: 1.3829e-03 eta: 0:14:54 time: 0.3382 data_time: 0.0151 memory: 8510 grad_norm: 0.1797 loss: 0.0398 recall@thr=0.5: 0.6469 prec@thr=0.5: 0.7478 recall@top3: 0.8509 prec@top3: 0.6316 recall@top5: 0.9474 prec@top5: 0.4263 loss_action_cls: 0.0398 2022/12/03 14:18:06 - mmengine - INFO - Epoch(train) [10][1800/4451] lr: 1.3624e-03 eta: 0:14:47 time: 0.3350 data_time: 0.0123 memory: 8510 grad_norm: 0.1797 loss: 0.0376 recall@thr=0.5: 0.5275 prec@thr=0.5: 0.8235 recall@top3: 0.7873 prec@top3: 0.6275 recall@top5: 0.9127 prec@top5: 0.4588 loss_action_cls: 0.0376 2022/12/03 14:18:13 - mmengine - INFO - Epoch(train) [10][1820/4451] lr: 1.3420e-03 eta: 0:14:41 time: 0.3380 data_time: 0.0124 memory: 8510 grad_norm: 0.1863 loss: 0.0397 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6404 recall@top3: 0.8860 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0397 2022/12/03 14:18:19 - mmengine - INFO - Epoch(train) [10][1840/4451] lr: 1.3218e-03 eta: 0:14:34 time: 0.3357 data_time: 0.0167 memory: 8510 grad_norm: 0.1723 loss: 0.0391 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7083 recall@top3: 0.8125 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.4000 loss_action_cls: 0.0391 2022/12/03 14:18:26 - mmengine - INFO - Epoch(train) [10][1860/4451] lr: 1.3017e-03 eta: 0:14:27 time: 0.3368 data_time: 0.0118 memory: 8510 grad_norm: 0.1775 loss: 0.0423 recall@thr=0.5: 0.3250 prec@thr=0.5: 0.4524 recall@top3: 0.5571 prec@top3: 0.4048 recall@top5: 0.7571 prec@top5: 0.3571 loss_action_cls: 0.0423 2022/12/03 14:18:33 - mmengine - INFO - Epoch(train) [10][1880/4451] lr: 1.2818e-03 eta: 0:14:21 time: 0.3344 data_time: 0.0117 memory: 8510 grad_norm: 0.1843 loss: 0.0412 recall@thr=0.5: 0.9216 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0412 2022/12/03 14:18:39 - mmengine - INFO - Epoch(train) [10][1900/4451] lr: 1.2620e-03 eta: 0:14:14 time: 0.3339 data_time: 0.0138 memory: 8510 grad_norm: 0.1776 loss: 0.0392 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6089 recall@top3: 0.8278 prec@top3: 0.6222 recall@top5: 0.9778 prec@top5: 0.4533 loss_action_cls: 0.0392 2022/12/03 14:18:46 - mmengine - INFO - Epoch(train) [10][1920/4451] lr: 1.2424e-03 eta: 0:14:07 time: 0.3342 data_time: 0.0154 memory: 8510 grad_norm: 0.1800 loss: 0.0355 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8788 recall@top3: 0.9735 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0355 2022/12/03 14:18:53 - mmengine - INFO - Epoch(train) [10][1940/4451] lr: 1.2229e-03 eta: 0:14:00 time: 0.3354 data_time: 0.0129 memory: 8510 grad_norm: 0.1763 loss: 0.0373 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.6958 recall@top3: 0.7392 prec@top3: 0.7000 recall@top5: 0.9083 prec@top5: 0.5200 loss_action_cls: 0.0373 2022/12/03 14:18:53 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 14:18:59 - mmengine - INFO - Epoch(train) [10][1960/4451] lr: 1.2036e-03 eta: 0:13:54 time: 0.3337 data_time: 0.0152 memory: 8510 grad_norm: 0.1915 loss: 0.0359 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.6944 recall@top3: 0.7593 prec@top3: 0.6111 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0359 2022/12/03 14:19:06 - mmengine - INFO - Epoch(train) [10][1980/4451] lr: 1.1845e-03 eta: 0:13:47 time: 0.3340 data_time: 0.0139 memory: 8510 grad_norm: 0.1844 loss: 0.0343 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7500 recall@top3: 0.7560 prec@top3: 0.6071 recall@top5: 0.8869 prec@top5: 0.4429 loss_action_cls: 0.0343 2022/12/03 14:19:13 - mmengine - INFO - Epoch(train) [10][2000/4451] lr: 1.1654e-03 eta: 0:13:40 time: 0.3349 data_time: 0.0142 memory: 8510 grad_norm: 0.1820 loss: 0.0408 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.5382 recall@top3: 0.8347 prec@top3: 0.5972 recall@top5: 0.9139 prec@top5: 0.4083 loss_action_cls: 0.0408 2022/12/03 14:19:20 - mmengine - INFO - Epoch(train) [10][2020/4451] lr: 1.1466e-03 eta: 0:13:34 time: 0.3353 data_time: 0.0107 memory: 8510 grad_norm: 0.1837 loss: 0.0407 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.8333 recall@top3: 0.7010 prec@top3: 0.6078 recall@top5: 0.8922 prec@top5: 0.4824 loss_action_cls: 0.0407 2022/12/03 14:19:26 - mmengine - INFO - Epoch(train) [10][2040/4451] lr: 1.1279e-03 eta: 0:13:27 time: 0.3352 data_time: 0.0114 memory: 8510 grad_norm: 0.1769 loss: 0.0392 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.6019 recall@top3: 0.8472 prec@top3: 0.6852 recall@top5: 0.9537 prec@top5: 0.4778 loss_action_cls: 0.0392 2022/12/03 14:19:33 - mmengine - INFO - Epoch(train) [10][2060/4451] lr: 1.1093e-03 eta: 0:13:20 time: 0.3351 data_time: 0.0143 memory: 8510 grad_norm: 0.1844 loss: 0.0431 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.7564 recall@top3: 0.9615 prec@top3: 0.6154 recall@top5: 0.9615 prec@top5: 0.3692 loss_action_cls: 0.0431 2022/12/03 14:19:40 - mmengine - INFO - Epoch(train) [10][2080/4451] lr: 1.0909e-03 eta: 0:13:14 time: 0.3363 data_time: 0.0144 memory: 8510 grad_norm: 0.1806 loss: 0.0382 recall@thr=0.5: 0.6420 prec@thr=0.5: 0.6444 recall@top3: 0.8765 prec@top3: 0.5802 recall@top5: 0.9815 prec@top5: 0.4000 loss_action_cls: 0.0382 2022/12/03 14:19:46 - mmengine - INFO - Epoch(train) [10][2100/4451] lr: 1.0727e-03 eta: 0:13:07 time: 0.3355 data_time: 0.0121 memory: 8510 grad_norm: 0.1787 loss: 0.0414 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.7549 recall@top3: 0.7647 prec@top3: 0.5490 recall@top5: 0.8382 prec@top5: 0.3765 loss_action_cls: 0.0414 2022/12/03 14:19:53 - mmengine - INFO - Epoch(train) [10][2120/4451] lr: 1.0546e-03 eta: 0:13:00 time: 0.3357 data_time: 0.0114 memory: 8510 grad_norm: 0.1769 loss: 0.0403 recall@thr=0.5: 0.5992 prec@thr=0.5: 0.6310 recall@top3: 0.7421 prec@top3: 0.6032 recall@top5: 0.8214 prec@top5: 0.4190 loss_action_cls: 0.0403 2022/12/03 14:20:00 - mmengine - INFO - Epoch(train) [10][2140/4451] lr: 1.0366e-03 eta: 0:12:53 time: 0.3347 data_time: 0.0115 memory: 8510 grad_norm: 0.1786 loss: 0.0377 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.8235 recall@top3: 0.8725 prec@top3: 0.7647 recall@top5: 0.9706 prec@top5: 0.5294 loss_action_cls: 0.0377 2022/12/03 14:20:06 - mmengine - INFO - Epoch(train) [10][2160/4451] lr: 1.0188e-03 eta: 0:12:47 time: 0.3342 data_time: 0.0144 memory: 8510 grad_norm: 0.1729 loss: 0.0385 recall@thr=0.5: 0.8725 prec@thr=0.5: 1.0000 recall@top3: 0.9559 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0385 2022/12/03 14:20:13 - mmengine - INFO - Epoch(train) [10][2180/4451] lr: 1.0012e-03 eta: 0:12:40 time: 0.3342 data_time: 0.0131 memory: 8510 grad_norm: 0.1737 loss: 0.0383 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.5738 recall@top3: 0.7857 prec@top3: 0.5238 recall@top5: 0.9087 prec@top5: 0.3905 loss_action_cls: 0.0383 2022/12/03 14:20:20 - mmengine - INFO - Epoch(train) [10][2200/4451] lr: 9.8368e-04 eta: 0:12:33 time: 0.3333 data_time: 0.0121 memory: 8510 grad_norm: 0.1797 loss: 0.0427 recall@thr=0.5: 0.9386 prec@thr=0.5: 0.9649 recall@top3: 0.9561 prec@top3: 0.6491 recall@top5: 0.9825 prec@top5: 0.4105 loss_action_cls: 0.0427 2022/12/03 14:20:27 - mmengine - INFO - Epoch(train) [10][2220/4451] lr: 9.6634e-04 eta: 0:12:27 time: 0.3363 data_time: 0.0115 memory: 8510 grad_norm: 0.1777 loss: 0.0380 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.7976 recall@top3: 0.8571 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.3714 loss_action_cls: 0.0380 2022/12/03 14:20:33 - mmengine - INFO - Epoch(train) [10][2240/4451] lr: 9.4915e-04 eta: 0:12:20 time: 0.3352 data_time: 0.0117 memory: 8510 grad_norm: 0.1745 loss: 0.0380 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6875 recall@top3: 0.8542 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0380 2022/12/03 14:20:40 - mmengine - INFO - Epoch(train) [10][2260/4451] lr: 9.3212e-04 eta: 0:12:13 time: 0.3361 data_time: 0.0136 memory: 8510 grad_norm: 0.1728 loss: 0.0387 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6458 recall@top3: 0.8073 prec@top3: 0.6458 recall@top5: 0.9479 prec@top5: 0.4500 loss_action_cls: 0.0387 2022/12/03 14:20:47 - mmengine - INFO - Epoch(train) [10][2280/4451] lr: 9.1524e-04 eta: 0:12:07 time: 0.3340 data_time: 0.0116 memory: 8510 grad_norm: 0.1789 loss: 0.0365 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7197 recall@top3: 0.7500 prec@top3: 0.5758 recall@top5: 0.8864 prec@top5: 0.4000 loss_action_cls: 0.0365 2022/12/03 14:20:53 - mmengine - INFO - Epoch(train) [10][2300/4451] lr: 8.9851e-04 eta: 0:12:00 time: 0.3320 data_time: 0.0129 memory: 8510 grad_norm: 0.1835 loss: 0.0375 recall@thr=0.5: 0.7207 prec@thr=0.5: 0.8233 recall@top3: 0.8173 prec@top3: 0.7333 recall@top5: 0.9587 prec@top5: 0.5360 loss_action_cls: 0.0375 2022/12/03 14:21:00 - mmengine - INFO - Epoch(train) [10][2320/4451] lr: 8.8194e-04 eta: 0:11:53 time: 0.3344 data_time: 0.0136 memory: 8510 grad_norm: 0.1773 loss: 0.0408 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8299 recall@top3: 0.8785 prec@top3: 0.6667 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0408 2022/12/03 14:21:07 - mmengine - INFO - Epoch(train) [10][2340/4451] lr: 8.6552e-04 eta: 0:11:46 time: 0.3333 data_time: 0.0122 memory: 8510 grad_norm: 0.1843 loss: 0.0376 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7500 recall@top3: 0.7583 prec@top3: 0.6667 recall@top5: 0.9125 prec@top5: 0.4900 loss_action_cls: 0.0376 2022/12/03 14:21:13 - mmengine - INFO - Epoch(train) [10][2360/4451] lr: 8.4925e-04 eta: 0:11:40 time: 0.3354 data_time: 0.0117 memory: 8510 grad_norm: 0.1785 loss: 0.0380 recall@thr=0.5: 0.7790 prec@thr=0.5: 0.7826 recall@top3: 0.8225 prec@top3: 0.6957 recall@top5: 0.9565 prec@top5: 0.5130 loss_action_cls: 0.0380 2022/12/03 14:21:20 - mmengine - INFO - Epoch(train) [10][2380/4451] lr: 8.3313e-04 eta: 0:11:33 time: 0.3332 data_time: 0.0113 memory: 8510 grad_norm: 0.1776 loss: 0.0352 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7125 recall@top3: 0.7500 prec@top3: 0.6389 recall@top5: 0.8750 prec@top5: 0.4500 loss_action_cls: 0.0352 2022/12/03 14:21:27 - mmengine - INFO - Epoch(train) [10][2400/4451] lr: 8.1717e-04 eta: 0:11:26 time: 0.3344 data_time: 0.0114 memory: 8510 grad_norm: 0.1876 loss: 0.0410 recall@thr=0.5: 0.6827 prec@thr=0.5: 0.6378 recall@top3: 0.7179 prec@top3: 0.5897 recall@top5: 0.9327 prec@top5: 0.4769 loss_action_cls: 0.0410 2022/12/03 14:21:33 - mmengine - INFO - Epoch(train) [10][2420/4451] lr: 8.0136e-04 eta: 0:11:20 time: 0.3345 data_time: 0.0142 memory: 8510 grad_norm: 0.1758 loss: 0.0396 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7752 recall@top3: 0.8476 prec@top3: 0.7905 recall@top5: 0.9667 prec@top5: 0.5486 loss_action_cls: 0.0396 2022/12/03 14:21:40 - mmengine - INFO - Epoch(train) [10][2440/4451] lr: 7.8571e-04 eta: 0:11:13 time: 0.3351 data_time: 0.0116 memory: 8510 grad_norm: 0.1822 loss: 0.0403 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7817 recall@top3: 0.8294 prec@top3: 0.6349 recall@top5: 0.9365 prec@top5: 0.4381 loss_action_cls: 0.0403 2022/12/03 14:21:47 - mmengine - INFO - Epoch(train) [10][2460/4451] lr: 7.7020e-04 eta: 0:11:06 time: 0.3391 data_time: 0.0112 memory: 8510 grad_norm: 0.1792 loss: 0.0370 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.9649 recall@top3: 0.9211 prec@top3: 0.8246 recall@top5: 0.9737 prec@top5: 0.5263 loss_action_cls: 0.0370 2022/12/03 14:21:54 - mmengine - INFO - Epoch(train) [10][2480/4451] lr: 7.5485e-04 eta: 0:11:00 time: 0.3340 data_time: 0.0128 memory: 8510 grad_norm: 0.1794 loss: 0.0376 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.7300 recall@top3: 0.8433 prec@top3: 0.8267 recall@top5: 0.9500 prec@top5: 0.5760 loss_action_cls: 0.0376 2022/12/03 14:22:00 - mmengine - INFO - Epoch(train) [10][2500/4451] lr: 7.3966e-04 eta: 0:10:53 time: 0.3348 data_time: 0.0128 memory: 8510 grad_norm: 0.1912 loss: 0.0443 recall@thr=0.5: 0.5063 prec@thr=0.5: 0.4714 recall@top3: 0.5672 prec@top3: 0.4479 recall@top5: 0.8443 prec@top5: 0.4187 loss_action_cls: 0.0443 2022/12/03 14:22:07 - mmengine - INFO - Epoch(train) [10][2520/4451] lr: 7.2461e-04 eta: 0:10:46 time: 0.3353 data_time: 0.0116 memory: 8510 grad_norm: 0.1808 loss: 0.0367 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7604 recall@top3: 0.8333 prec@top3: 0.7083 recall@top5: 0.9635 prec@top5: 0.4875 loss_action_cls: 0.0367 2022/12/03 14:22:14 - mmengine - INFO - Epoch(train) [10][2540/4451] lr: 7.0973e-04 eta: 0:10:40 time: 0.3350 data_time: 0.0118 memory: 8510 grad_norm: 0.1726 loss: 0.0378 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7611 recall@top3: 0.8667 prec@top3: 0.6667 recall@top5: 0.9278 prec@top5: 0.4400 loss_action_cls: 0.0378 2022/12/03 14:22:20 - mmengine - INFO - Epoch(train) [10][2560/4451] lr: 6.9499e-04 eta: 0:10:33 time: 0.3347 data_time: 0.0134 memory: 8510 grad_norm: 0.1770 loss: 0.0420 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7308 recall@top3: 0.9615 prec@top3: 0.6923 recall@top5: 0.9615 prec@top5: 0.4154 loss_action_cls: 0.0420 2022/12/03 14:22:27 - mmengine - INFO - Epoch(train) [10][2580/4451] lr: 6.8041e-04 eta: 0:10:26 time: 0.3347 data_time: 0.0126 memory: 8510 grad_norm: 0.1796 loss: 0.0362 recall@thr=0.5: 0.5812 prec@thr=0.5: 0.6618 recall@top3: 0.6919 prec@top3: 0.5806 recall@top5: 0.8285 prec@top5: 0.4516 loss_action_cls: 0.0362 2022/12/03 14:22:34 - mmengine - INFO - Epoch(train) [10][2600/4451] lr: 6.6598e-04 eta: 0:10:19 time: 0.3363 data_time: 0.0156 memory: 8510 grad_norm: 0.1715 loss: 0.0373 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6579 recall@top3: 0.8421 prec@top3: 0.4912 recall@top5: 0.8947 prec@top5: 0.3158 loss_action_cls: 0.0373 2022/12/03 14:22:41 - mmengine - INFO - Epoch(train) [10][2620/4451] lr: 6.5170e-04 eta: 0:10:13 time: 0.3352 data_time: 0.0119 memory: 8510 grad_norm: 0.1845 loss: 0.0448 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.8529 recall@top3: 0.8971 prec@top3: 0.7451 recall@top5: 0.9412 prec@top5: 0.4824 loss_action_cls: 0.0448 2022/12/03 14:22:47 - mmengine - INFO - Epoch(train) [10][2640/4451] lr: 6.3758e-04 eta: 0:10:06 time: 0.3338 data_time: 0.0134 memory: 8510 grad_norm: 0.1810 loss: 0.0371 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7875 recall@top3: 0.8792 prec@top3: 0.6167 recall@top5: 0.9500 prec@top5: 0.4100 loss_action_cls: 0.0371 2022/12/03 14:22:54 - mmengine - INFO - Epoch(train) [10][2660/4451] lr: 6.2361e-04 eta: 0:09:59 time: 0.3362 data_time: 0.0111 memory: 8510 grad_norm: 0.1754 loss: 0.0379 recall@thr=0.5: 0.5722 prec@thr=0.5: 0.6444 recall@top3: 0.8222 prec@top3: 0.6222 recall@top5: 0.9389 prec@top5: 0.4400 loss_action_cls: 0.0379 2022/12/03 14:23:01 - mmengine - INFO - Epoch(train) [10][2680/4451] lr: 6.0980e-04 eta: 0:09:53 time: 0.3366 data_time: 0.0131 memory: 8510 grad_norm: 0.1785 loss: 0.0399 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7544 recall@top3: 0.8333 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4526 loss_action_cls: 0.0399 2022/12/03 14:23:07 - mmengine - INFO - Epoch(train) [10][2700/4451] lr: 5.9614e-04 eta: 0:09:46 time: 0.3361 data_time: 0.0120 memory: 8510 grad_norm: 0.1812 loss: 0.0397 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8333 recall@top3: 0.8733 prec@top3: 0.7467 recall@top5: 0.9900 prec@top5: 0.5200 loss_action_cls: 0.0397 2022/12/03 14:23:14 - mmengine - INFO - Epoch(train) [10][2720/4451] lr: 5.8263e-04 eta: 0:09:39 time: 0.3343 data_time: 0.0119 memory: 8510 grad_norm: 0.1813 loss: 0.0371 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.9333 recall@top3: 0.9278 prec@top3: 0.7111 recall@top5: 0.9444 prec@top5: 0.4400 loss_action_cls: 0.0371 2022/12/03 14:23:21 - mmengine - INFO - Epoch(train) [10][2740/4451] lr: 5.6928e-04 eta: 0:09:33 time: 0.3429 data_time: 0.0122 memory: 8510 grad_norm: 0.1745 loss: 0.0379 recall@thr=0.5: 0.6108 prec@thr=0.5: 0.7097 recall@top3: 0.7000 prec@top3: 0.6989 recall@top5: 0.8629 prec@top5: 0.5290 loss_action_cls: 0.0379 2022/12/03 14:23:28 - mmengine - INFO - Epoch(train) [10][2760/4451] lr: 5.5608e-04 eta: 0:09:26 time: 0.3356 data_time: 0.0161 memory: 8510 grad_norm: 0.1830 loss: 0.0386 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.9744 recall@top3: 0.9231 prec@top3: 0.6667 recall@top5: 0.9487 prec@top5: 0.4154 loss_action_cls: 0.0386 2022/12/03 14:23:34 - mmengine - INFO - Epoch(train) [10][2780/4451] lr: 5.4304e-04 eta: 0:09:19 time: 0.3337 data_time: 0.0111 memory: 8510 grad_norm: 0.1728 loss: 0.0358 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.6090 recall@top3: 0.7372 prec@top3: 0.4615 recall@top5: 0.8077 prec@top5: 0.3154 loss_action_cls: 0.0358 2022/12/03 14:23:41 - mmengine - INFO - Epoch(train) [10][2800/4451] lr: 5.3015e-04 eta: 0:09:12 time: 0.3338 data_time: 0.0122 memory: 8510 grad_norm: 0.1736 loss: 0.0398 recall@thr=0.5: 0.7535 prec@thr=0.5: 0.7465 recall@top3: 0.8958 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4417 loss_action_cls: 0.0398 2022/12/03 14:23:48 - mmengine - INFO - Epoch(train) [10][2820/4451] lr: 5.1741e-04 eta: 0:09:06 time: 0.3354 data_time: 0.0127 memory: 8510 grad_norm: 0.1764 loss: 0.0378 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6759 recall@top3: 0.8148 prec@top3: 0.5000 recall@top5: 0.8519 prec@top5: 0.3222 loss_action_cls: 0.0378 2022/12/03 14:23:54 - mmengine - INFO - Epoch(train) [10][2840/4451] lr: 5.0483e-04 eta: 0:08:59 time: 0.3364 data_time: 0.0115 memory: 8510 grad_norm: 0.1789 loss: 0.0374 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.7029 recall@top3: 0.7717 prec@top3: 0.5507 recall@top5: 0.9130 prec@top5: 0.3913 loss_action_cls: 0.0374 2022/12/03 14:24:01 - mmengine - INFO - Epoch(train) [10][2860/4451] lr: 4.9240e-04 eta: 0:08:52 time: 0.3344 data_time: 0.0132 memory: 8510 grad_norm: 0.1783 loss: 0.0402 recall@thr=0.5: 0.5846 prec@thr=0.5: 0.6474 recall@top3: 0.7269 prec@top3: 0.5256 recall@top5: 0.8051 prec@top5: 0.3538 loss_action_cls: 0.0402 2022/12/03 14:24:08 - mmengine - INFO - Epoch(train) [10][2880/4451] lr: 4.8012e-04 eta: 0:08:46 time: 0.3344 data_time: 0.0117 memory: 8510 grad_norm: 0.1743 loss: 0.0364 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8009 recall@top3: 0.8056 prec@top3: 0.6481 recall@top5: 0.9537 prec@top5: 0.4333 loss_action_cls: 0.0364 2022/12/03 14:24:15 - mmengine - INFO - Epoch(train) [10][2900/4451] lr: 4.6800e-04 eta: 0:08:39 time: 0.3358 data_time: 0.0131 memory: 8510 grad_norm: 0.1854 loss: 0.0411 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.8333 recall@top3: 0.8775 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0411 2022/12/03 14:24:21 - mmengine - INFO - Epoch(train) [10][2920/4451] lr: 4.5604e-04 eta: 0:08:32 time: 0.3343 data_time: 0.0128 memory: 8510 grad_norm: 0.1768 loss: 0.0407 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.6667 recall@top3: 0.7972 prec@top3: 0.7000 recall@top5: 0.9083 prec@top5: 0.4933 loss_action_cls: 0.0407 2022/12/03 14:24:28 - mmengine - INFO - Epoch(train) [10][2940/4451] lr: 4.4423e-04 eta: 0:08:26 time: 0.3330 data_time: 0.0153 memory: 8510 grad_norm: 0.1800 loss: 0.0368 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.8333 recall@top3: 0.8646 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4250 loss_action_cls: 0.0368 2022/12/03 14:24:28 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 14:24:35 - mmengine - INFO - Epoch(train) [10][2960/4451] lr: 4.3257e-04 eta: 0:08:19 time: 0.3365 data_time: 0.0125 memory: 8510 grad_norm: 0.1738 loss: 0.0404 recall@thr=0.5: 0.7087 prec@thr=0.5: 0.7200 recall@top3: 0.7747 prec@top3: 0.6400 recall@top5: 0.9240 prec@top5: 0.4880 loss_action_cls: 0.0404 2022/12/03 14:24:41 - mmengine - INFO - Epoch(train) [10][2980/4451] lr: 4.2107e-04 eta: 0:08:12 time: 0.3352 data_time: 0.0133 memory: 8510 grad_norm: 0.1760 loss: 0.0410 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8974 recall@top3: 0.8827 prec@top3: 0.8462 recall@top5: 0.9551 prec@top5: 0.5692 loss_action_cls: 0.0410 2022/12/03 14:24:48 - mmengine - INFO - Epoch(train) [10][3000/4451] lr: 4.0972e-04 eta: 0:08:05 time: 0.3334 data_time: 0.0136 memory: 8510 grad_norm: 0.1859 loss: 0.0377 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5965 recall@top3: 0.8772 prec@top3: 0.6491 recall@top5: 0.9298 prec@top5: 0.4211 loss_action_cls: 0.0377 2022/12/03 14:24:55 - mmengine - INFO - Epoch(train) [10][3020/4451] lr: 3.9852e-04 eta: 0:07:59 time: 0.3347 data_time: 0.0118 memory: 8510 grad_norm: 0.1802 loss: 0.0377 recall@thr=0.5: 0.8833 prec@thr=0.5: 0.8917 recall@top3: 0.9583 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0377 2022/12/03 14:25:01 - mmengine - INFO - Epoch(train) [10][3040/4451] lr: 3.8748e-04 eta: 0:07:52 time: 0.3354 data_time: 0.0122 memory: 8510 grad_norm: 0.1795 loss: 0.0420 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6316 recall@top3: 0.8860 prec@top3: 0.5789 recall@top5: 0.9737 prec@top5: 0.3895 loss_action_cls: 0.0420 2022/12/03 14:25:08 - mmengine - INFO - Epoch(train) [10][3060/4451] lr: 3.7660e-04 eta: 0:07:45 time: 0.3359 data_time: 0.0121 memory: 8510 grad_norm: 0.1778 loss: 0.0403 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8413 recall@top3: 0.8016 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4762 loss_action_cls: 0.0403 2022/12/03 14:25:15 - mmengine - INFO - Epoch(train) [10][3080/4451] lr: 3.6587e-04 eta: 0:07:39 time: 0.3351 data_time: 0.0133 memory: 8510 grad_norm: 0.1783 loss: 0.0398 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8083 recall@top3: 0.9250 prec@top3: 0.5667 recall@top5: 0.9750 prec@top5: 0.3600 loss_action_cls: 0.0398 2022/12/03 14:25:21 - mmengine - INFO - Epoch(train) [10][3100/4451] lr: 3.5529e-04 eta: 0:07:32 time: 0.3325 data_time: 0.0130 memory: 8510 grad_norm: 0.1804 loss: 0.0400 recall@thr=0.5: 0.3847 prec@thr=0.5: 0.6181 recall@top3: 0.5549 prec@top3: 0.4722 recall@top5: 0.7312 prec@top5: 0.3750 loss_action_cls: 0.0400 2022/12/03 14:25:28 - mmengine - INFO - Epoch(train) [10][3120/4451] lr: 3.4487e-04 eta: 0:07:25 time: 0.3345 data_time: 0.0149 memory: 8510 grad_norm: 0.1738 loss: 0.0408 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.6952 recall@top3: 0.8750 prec@top3: 0.7500 recall@top5: 0.9613 prec@top5: 0.5000 loss_action_cls: 0.0408 2022/12/03 14:25:35 - mmengine - INFO - Epoch(train) [10][3140/4451] lr: 3.3460e-04 eta: 0:07:19 time: 0.3339 data_time: 0.0136 memory: 8510 grad_norm: 0.1790 loss: 0.0407 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.6417 recall@top3: 0.6708 prec@top3: 0.6333 recall@top5: 0.8958 prec@top5: 0.5000 loss_action_cls: 0.0407 2022/12/03 14:25:42 - mmengine - INFO - Epoch(train) [10][3160/4451] lr: 3.2449e-04 eta: 0:07:12 time: 0.3352 data_time: 0.0106 memory: 8510 grad_norm: 0.1776 loss: 0.0392 recall@thr=0.5: 0.5577 prec@thr=0.5: 0.5897 recall@top3: 0.7692 prec@top3: 0.5385 recall@top5: 0.8974 prec@top5: 0.3692 loss_action_cls: 0.0392 2022/12/03 14:25:48 - mmengine - INFO - Epoch(train) [10][3180/4451] lr: 3.1453e-04 eta: 0:07:05 time: 0.3344 data_time: 0.0121 memory: 8510 grad_norm: 0.1792 loss: 0.0353 recall@thr=0.5: 0.4848 prec@thr=0.5: 0.7424 recall@top3: 0.7576 prec@top3: 0.5152 recall@top5: 0.8333 prec@top5: 0.3455 loss_action_cls: 0.0353 2022/12/03 14:25:55 - mmengine - INFO - Epoch(train) [10][3200/4451] lr: 3.0473e-04 eta: 0:06:58 time: 0.3337 data_time: 0.0143 memory: 8510 grad_norm: 0.1828 loss: 0.0398 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.7237 recall@top3: 0.6518 prec@top3: 0.5965 recall@top5: 0.8781 prec@top5: 0.5053 loss_action_cls: 0.0398 2022/12/03 14:26:02 - mmengine - INFO - Epoch(train) [10][3220/4451] lr: 2.9508e-04 eta: 0:06:52 time: 0.3346 data_time: 0.0157 memory: 8510 grad_norm: 0.1782 loss: 0.0376 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.7000 recall@top3: 0.7333 prec@top3: 0.4333 recall@top5: 0.7750 prec@top5: 0.2800 loss_action_cls: 0.0376 2022/12/03 14:26:08 - mmengine - INFO - Epoch(train) [10][3240/4451] lr: 2.8559e-04 eta: 0:06:45 time: 0.3339 data_time: 0.0122 memory: 8510 grad_norm: 0.1901 loss: 0.0411 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.8922 recall@top3: 0.8922 prec@top3: 0.6078 recall@top5: 0.9265 prec@top5: 0.3882 loss_action_cls: 0.0411 2022/12/03 14:26:15 - mmengine - INFO - Epoch(train) [10][3260/4451] lr: 2.7625e-04 eta: 0:06:38 time: 0.3348 data_time: 0.0132 memory: 8510 grad_norm: 0.1820 loss: 0.0392 recall@thr=0.5: 0.5543 prec@thr=0.5: 0.6667 recall@top3: 0.7138 prec@top3: 0.5942 recall@top5: 0.9565 prec@top5: 0.4696 loss_action_cls: 0.0392 2022/12/03 14:26:22 - mmengine - INFO - Epoch(train) [10][3280/4451] lr: 2.6706e-04 eta: 0:06:32 time: 0.3341 data_time: 0.0137 memory: 8510 grad_norm: 0.1818 loss: 0.0395 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.6842 recall@top3: 0.8421 prec@top3: 0.7018 recall@top5: 0.9474 prec@top5: 0.4842 loss_action_cls: 0.0395 2022/12/03 14:26:28 - mmengine - INFO - Epoch(train) [10][3300/4451] lr: 2.5803e-04 eta: 0:06:25 time: 0.3366 data_time: 0.0126 memory: 8510 grad_norm: 0.1821 loss: 0.0436 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.6623 recall@top3: 0.8070 prec@top3: 0.5614 recall@top5: 0.8947 prec@top5: 0.3895 loss_action_cls: 0.0436 2022/12/03 14:26:35 - mmengine - INFO - Epoch(train) [10][3320/4451] lr: 2.4916e-04 eta: 0:06:18 time: 0.3375 data_time: 0.0118 memory: 8510 grad_norm: 0.1809 loss: 0.0376 recall@thr=0.5: 0.7356 prec@thr=0.5: 0.7098 recall@top3: 0.9023 prec@top3: 0.6092 recall@top5: 0.9138 prec@top5: 0.3724 loss_action_cls: 0.0376 2022/12/03 14:26:42 - mmengine - INFO - Epoch(train) [10][3340/4451] lr: 2.4044e-04 eta: 0:06:12 time: 0.3357 data_time: 0.0132 memory: 8510 grad_norm: 0.1821 loss: 0.0377 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.7105 recall@top3: 0.6974 prec@top3: 0.6667 recall@top5: 0.8289 prec@top5: 0.4842 loss_action_cls: 0.0377 2022/12/03 14:26:49 - mmengine - INFO - Epoch(train) [10][3360/4451] lr: 2.3187e-04 eta: 0:06:05 time: 0.3349 data_time: 0.0126 memory: 8510 grad_norm: 0.1771 loss: 0.0412 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6465 recall@top3: 0.6167 prec@top3: 0.6111 recall@top5: 0.9181 prec@top5: 0.5167 loss_action_cls: 0.0412 2022/12/03 14:26:55 - mmengine - INFO - Epoch(train) [10][3380/4451] lr: 2.2347e-04 eta: 0:05:58 time: 0.3366 data_time: 0.0129 memory: 8510 grad_norm: 0.1747 loss: 0.0407 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7143 recall@top3: 0.6667 prec@top3: 0.5238 recall@top5: 0.9365 prec@top5: 0.4952 loss_action_cls: 0.0407 2022/12/03 14:27:02 - mmengine - INFO - Epoch(train) [10][3400/4451] lr: 2.1521e-04 eta: 0:05:51 time: 0.3362 data_time: 0.0126 memory: 8510 grad_norm: 0.1770 loss: 0.0397 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6034 recall@top3: 0.6954 prec@top3: 0.4943 recall@top5: 0.8563 prec@top5: 0.3655 loss_action_cls: 0.0397 2022/12/03 14:27:09 - mmengine - INFO - Epoch(train) [10][3420/4451] lr: 2.0711e-04 eta: 0:05:45 time: 0.3368 data_time: 0.0129 memory: 8510 grad_norm: 0.1779 loss: 0.0356 recall@thr=0.5: 0.7288 prec@thr=0.5: 0.7273 recall@top3: 0.7439 prec@top3: 0.6667 recall@top5: 0.8788 prec@top5: 0.5000 loss_action_cls: 0.0356 2022/12/03 14:27:15 - mmengine - INFO - Epoch(train) [10][3440/4451] lr: 1.9917e-04 eta: 0:05:38 time: 0.3342 data_time: 0.0114 memory: 8510 grad_norm: 0.1767 loss: 0.0376 recall@thr=0.5: 0.8289 prec@thr=0.5: 0.8684 recall@top3: 0.9035 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0376 2022/12/03 14:27:22 - mmengine - INFO - Epoch(train) [10][3460/4451] lr: 1.9138e-04 eta: 0:05:31 time: 0.3335 data_time: 0.0136 memory: 8510 grad_norm: 0.1896 loss: 0.0378 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7381 recall@top3: 0.8214 prec@top3: 0.7381 recall@top5: 0.9286 prec@top5: 0.4857 loss_action_cls: 0.0378 2022/12/03 14:27:29 - mmengine - INFO - Epoch(train) [10][3480/4451] lr: 1.8374e-04 eta: 0:05:25 time: 0.3360 data_time: 0.0171 memory: 8510 grad_norm: 0.1724 loss: 0.0382 recall@thr=0.5: 0.6716 prec@thr=0.5: 0.6275 recall@top3: 0.8578 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0382 2022/12/03 14:27:36 - mmengine - INFO - Epoch(train) [10][3500/4451] lr: 1.7626e-04 eta: 0:05:18 time: 0.3364 data_time: 0.0153 memory: 8510 grad_norm: 0.1870 loss: 0.0398 recall@thr=0.5: 0.7948 prec@thr=0.5: 0.8625 recall@top3: 0.8240 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.5125 loss_action_cls: 0.0398 2022/12/03 14:27:42 - mmengine - INFO - Epoch(train) [10][3520/4451] lr: 1.6894e-04 eta: 0:05:11 time: 0.3332 data_time: 0.0134 memory: 8510 grad_norm: 0.1817 loss: 0.0393 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7222 recall@top3: 0.8681 prec@top3: 0.7639 recall@top5: 0.9792 prec@top5: 0.5167 loss_action_cls: 0.0393 2022/12/03 14:27:49 - mmengine - INFO - Epoch(train) [10][3540/4451] lr: 1.6177e-04 eta: 0:05:05 time: 0.3337 data_time: 0.0133 memory: 8510 grad_norm: 0.1768 loss: 0.0423 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6905 recall@top3: 0.6369 prec@top3: 0.5952 recall@top5: 0.8512 prec@top5: 0.5000 loss_action_cls: 0.0423 2022/12/03 14:27:56 - mmengine - INFO - Epoch(train) [10][3560/4451] lr: 1.5476e-04 eta: 0:04:58 time: 0.3341 data_time: 0.0129 memory: 8510 grad_norm: 0.1698 loss: 0.0374 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.7647 recall@top3: 0.7745 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0374 2022/12/03 14:28:02 - mmengine - INFO - Epoch(train) [10][3580/4451] lr: 1.4790e-04 eta: 0:04:51 time: 0.3359 data_time: 0.0148 memory: 8510 grad_norm: 0.1782 loss: 0.0395 recall@thr=0.5: 0.6051 prec@thr=0.5: 0.8587 recall@top3: 0.8587 prec@top3: 0.7391 recall@top5: 0.9493 prec@top5: 0.4783 loss_action_cls: 0.0395 2022/12/03 14:28:09 - mmengine - INFO - Epoch(train) [10][3600/4451] lr: 1.4119e-04 eta: 0:04:45 time: 0.3346 data_time: 0.0106 memory: 8510 grad_norm: 0.1827 loss: 0.0351 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7750 recall@top3: 0.8833 prec@top3: 0.7000 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0351 2022/12/03 14:28:16 - mmengine - INFO - Epoch(train) [10][3620/4451] lr: 1.3465e-04 eta: 0:04:38 time: 0.3367 data_time: 0.0126 memory: 8510 grad_norm: 0.1813 loss: 0.0441 recall@thr=0.5: 0.6972 prec@thr=0.5: 0.7094 recall@top3: 0.7694 prec@top3: 0.6778 recall@top5: 0.9500 prec@top5: 0.5200 loss_action_cls: 0.0441 2022/12/03 14:28:22 - mmengine - INFO - Epoch(train) [10][3640/4451] lr: 1.2825e-04 eta: 0:04:31 time: 0.3371 data_time: 0.0176 memory: 8510 grad_norm: 0.1800 loss: 0.0411 recall@thr=0.5: 0.6639 prec@thr=0.5: 0.6467 recall@top3: 0.8139 prec@top3: 0.6667 recall@top5: 0.9806 prec@top5: 0.5000 loss_action_cls: 0.0411 2022/12/03 14:28:29 - mmengine - INFO - Epoch(train) [10][3660/4451] lr: 1.2202e-04 eta: 0:04:24 time: 0.3343 data_time: 0.0128 memory: 8510 grad_norm: 0.1768 loss: 0.0395 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6667 recall@top3: 0.6979 prec@top3: 0.5625 recall@top5: 0.7188 prec@top5: 0.3500 loss_action_cls: 0.0395 2022/12/03 14:28:36 - mmengine - INFO - Epoch(train) [10][3680/4451] lr: 1.1593e-04 eta: 0:04:18 time: 0.3345 data_time: 0.0133 memory: 8510 grad_norm: 0.1682 loss: 0.0362 recall@thr=0.5: 0.6886 prec@thr=0.5: 0.8684 recall@top3: 0.8114 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4947 loss_action_cls: 0.0362 2022/12/03 14:28:43 - mmengine - INFO - Epoch(train) [10][3700/4451] lr: 1.1001e-04 eta: 0:04:11 time: 0.3377 data_time: 0.0129 memory: 8510 grad_norm: 0.1830 loss: 0.0403 recall@thr=0.5: 0.6127 prec@thr=0.5: 0.8235 recall@top3: 0.9265 prec@top3: 0.6667 recall@top5: 0.9853 prec@top5: 0.4471 loss_action_cls: 0.0403 2022/12/03 14:28:49 - mmengine - INFO - Epoch(train) [10][3720/4451] lr: 1.0424e-04 eta: 0:04:04 time: 0.3352 data_time: 0.0128 memory: 8510 grad_norm: 0.1758 loss: 0.0399 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.6513 recall@top3: 0.6635 prec@top3: 0.6026 recall@top5: 0.8462 prec@top5: 0.4769 loss_action_cls: 0.0399 2022/12/03 14:28:56 - mmengine - INFO - Epoch(train) [10][3740/4451] lr: 9.8619e-05 eta: 0:03:58 time: 0.3337 data_time: 0.0115 memory: 8510 grad_norm: 0.1759 loss: 0.0376 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7333 recall@top3: 0.7778 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0376 2022/12/03 14:29:03 - mmengine - INFO - Epoch(train) [10][3760/4451] lr: 9.3158e-05 eta: 0:03:51 time: 0.3366 data_time: 0.0123 memory: 8510 grad_norm: 0.1827 loss: 0.0417 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.8444 recall@top3: 0.9000 prec@top3: 0.7111 recall@top5: 0.9667 prec@top5: 0.4667 loss_action_cls: 0.0417 2022/12/03 14:29:09 - mmengine - INFO - Epoch(train) [10][3780/4451] lr: 8.7853e-05 eta: 0:03:44 time: 0.3349 data_time: 0.0120 memory: 8510 grad_norm: 0.1747 loss: 0.0414 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6471 recall@top3: 0.7647 prec@top3: 0.6078 recall@top5: 0.8039 prec@top5: 0.3882 loss_action_cls: 0.0414 2022/12/03 14:29:16 - mmengine - INFO - Epoch(train) [10][3800/4451] lr: 8.2703e-05 eta: 0:03:38 time: 0.3363 data_time: 0.0122 memory: 8510 grad_norm: 0.1780 loss: 0.0367 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6667 recall@top3: 0.8854 prec@top3: 0.7083 recall@top5: 0.9688 prec@top5: 0.4750 loss_action_cls: 0.0367 2022/12/03 14:29:23 - mmengine - INFO - Epoch(train) [10][3820/4451] lr: 7.7708e-05 eta: 0:03:31 time: 0.3372 data_time: 0.0125 memory: 8510 grad_norm: 0.1705 loss: 0.0383 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.6026 recall@top3: 0.8269 prec@top3: 0.5897 recall@top5: 0.8654 prec@top5: 0.3846 loss_action_cls: 0.0383 2022/12/03 14:29:30 - mmengine - INFO - Epoch(train) [10][3840/4451] lr: 7.2869e-05 eta: 0:03:24 time: 0.3331 data_time: 0.0134 memory: 8510 grad_norm: 0.1723 loss: 0.0371 recall@thr=0.5: 0.8364 prec@thr=0.5: 0.8056 recall@top3: 0.8654 prec@top3: 0.7160 recall@top5: 0.9259 prec@top5: 0.4815 loss_action_cls: 0.0371 2022/12/03 14:29:36 - mmengine - INFO - Epoch(train) [10][3860/4451] lr: 6.8185e-05 eta: 0:03:17 time: 0.3332 data_time: 0.0120 memory: 8510 grad_norm: 0.1836 loss: 0.0364 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.8377 recall@top3: 0.8007 prec@top3: 0.7246 recall@top5: 0.8949 prec@top5: 0.5043 loss_action_cls: 0.0364 2022/12/03 14:29:43 - mmengine - INFO - Epoch(train) [10][3880/4451] lr: 6.3657e-05 eta: 0:03:11 time: 0.3382 data_time: 0.0117 memory: 8510 grad_norm: 0.1850 loss: 0.0402 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7193 recall@top3: 0.8596 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0402 2022/12/03 14:29:50 - mmengine - INFO - Epoch(train) [10][3900/4451] lr: 5.9284e-05 eta: 0:03:04 time: 0.3331 data_time: 0.0116 memory: 8510 grad_norm: 0.1800 loss: 0.0369 recall@thr=0.5: 0.6290 prec@thr=0.5: 0.7151 recall@top3: 0.7016 prec@top3: 0.6667 recall@top5: 0.8387 prec@top5: 0.4903 loss_action_cls: 0.0369 2022/12/03 14:29:56 - mmengine - INFO - Epoch(train) [10][3920/4451] lr: 5.5067e-05 eta: 0:02:57 time: 0.3335 data_time: 0.0127 memory: 8510 grad_norm: 0.1750 loss: 0.0391 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.8061 recall@top3: 0.6894 prec@top3: 0.6212 recall@top5: 0.9318 prec@top5: 0.4909 loss_action_cls: 0.0391 2022/12/03 14:30:03 - mmengine - INFO - Epoch(train) [10][3940/4451] lr: 5.1005e-05 eta: 0:02:51 time: 0.3348 data_time: 0.0132 memory: 8510 grad_norm: 0.1755 loss: 0.0409 recall@thr=0.5: 0.7286 prec@thr=0.5: 0.8333 recall@top3: 0.7667 prec@top3: 0.7937 recall@top5: 0.9627 prec@top5: 0.5905 loss_action_cls: 0.0409 2022/12/03 14:30:03 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 14:30:10 - mmengine - INFO - Epoch(train) [10][3960/4451] lr: 4.7098e-05 eta: 0:02:44 time: 0.3350 data_time: 0.0139 memory: 8510 grad_norm: 0.1883 loss: 0.0427 recall@thr=0.5: 0.3462 prec@thr=0.5: 0.5385 recall@top3: 0.6154 prec@top3: 0.3846 recall@top5: 0.6410 prec@top5: 0.2462 loss_action_cls: 0.0427 2022/12/03 14:30:16 - mmengine - INFO - Epoch(train) [10][3980/4451] lr: 4.3348e-05 eta: 0:02:37 time: 0.3351 data_time: 0.0117 memory: 8510 grad_norm: 0.1749 loss: 0.0369 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8519 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0369 2022/12/03 14:30:23 - mmengine - INFO - Epoch(train) [10][4000/4451] lr: 3.9752e-05 eta: 0:02:31 time: 0.3381 data_time: 0.0116 memory: 8510 grad_norm: 0.1791 loss: 0.0355 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.5825 recall@top3: 0.8377 prec@top3: 0.5088 recall@top5: 0.8947 prec@top5: 0.3474 loss_action_cls: 0.0355 2022/12/03 14:30:30 - mmengine - INFO - Epoch(train) [10][4020/4451] lr: 3.6313e-05 eta: 0:02:24 time: 0.3362 data_time: 0.0143 memory: 8510 grad_norm: 0.1747 loss: 0.0401 recall@thr=0.5: 0.8080 prec@thr=0.5: 0.8043 recall@top3: 0.9094 prec@top3: 0.6522 recall@top5: 0.9674 prec@top5: 0.4261 loss_action_cls: 0.0401 2022/12/03 14:30:37 - mmengine - INFO - Epoch(train) [10][4040/4451] lr: 3.3029e-05 eta: 0:02:17 time: 0.3360 data_time: 0.0152 memory: 8510 grad_norm: 0.1807 loss: 0.0381 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8039 recall@top3: 0.8725 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0381 2022/12/03 14:30:43 - mmengine - INFO - Epoch(train) [10][4060/4451] lr: 2.9900e-05 eta: 0:02:10 time: 0.3358 data_time: 0.0129 memory: 8510 grad_norm: 0.1828 loss: 0.0331 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.9318 recall@top3: 0.9015 prec@top3: 0.6818 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0331 2022/12/03 14:30:50 - mmengine - INFO - Epoch(train) [10][4080/4451] lr: 2.6927e-05 eta: 0:02:04 time: 0.3346 data_time: 0.0142 memory: 8510 grad_norm: 0.1773 loss: 0.0415 recall@thr=0.5: 0.8035 prec@thr=0.5: 0.8684 recall@top3: 0.9263 prec@top3: 0.7368 recall@top5: 0.9649 prec@top5: 0.4737 loss_action_cls: 0.0415 2022/12/03 14:30:57 - mmengine - INFO - Epoch(train) [10][4100/4451] lr: 2.4110e-05 eta: 0:01:57 time: 0.3351 data_time: 0.0117 memory: 8510 grad_norm: 0.1759 loss: 0.0397 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7708 recall@top3: 0.8958 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0397 2022/12/03 14:31:03 - mmengine - INFO - Epoch(train) [10][4120/4451] lr: 2.1448e-05 eta: 0:01:50 time: 0.3338 data_time: 0.0131 memory: 8510 grad_norm: 0.1790 loss: 0.0374 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.8241 recall@top3: 0.8241 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0374 2022/12/03 14:31:10 - mmengine - INFO - Epoch(train) [10][4140/4451] lr: 1.8942e-05 eta: 0:01:44 time: 0.3368 data_time: 0.0124 memory: 8510 grad_norm: 0.1761 loss: 0.0370 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7037 recall@top3: 0.8611 prec@top3: 0.7037 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0370 2022/12/03 14:31:17 - mmengine - INFO - Epoch(train) [10][4160/4451] lr: 1.6592e-05 eta: 0:01:37 time: 0.3324 data_time: 0.0124 memory: 8510 grad_norm: 0.1783 loss: 0.0373 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9407 recall@top3: 0.8611 prec@top3: 0.8333 recall@top5: 0.9630 prec@top5: 0.5667 loss_action_cls: 0.0373 2022/12/03 14:31:24 - mmengine - INFO - Epoch(train) [10][4180/4451] lr: 1.4397e-05 eta: 0:01:30 time: 0.3358 data_time: 0.0115 memory: 8510 grad_norm: 0.1831 loss: 0.0420 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.5937 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.8229 prec@top5: 0.3875 loss_action_cls: 0.0420 2022/12/03 14:31:30 - mmengine - INFO - Epoch(train) [10][4200/4451] lr: 1.2357e-05 eta: 0:01:24 time: 0.3346 data_time: 0.0119 memory: 8510 grad_norm: 0.1805 loss: 0.0383 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.8106 recall@top3: 0.9091 prec@top3: 0.6515 recall@top5: 0.9773 prec@top5: 0.4182 loss_action_cls: 0.0383 2022/12/03 14:31:37 - mmengine - INFO - Epoch(train) [10][4220/4451] lr: 1.0474e-05 eta: 0:01:17 time: 0.3355 data_time: 0.0114 memory: 8510 grad_norm: 0.1832 loss: 0.0366 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.7754 recall@top3: 0.8913 prec@top3: 0.5652 recall@top5: 0.9565 prec@top5: 0.3652 loss_action_cls: 0.0366 2022/12/03 14:31:44 - mmengine - INFO - Epoch(train) [10][4240/4451] lr: 8.7459e-06 eta: 0:01:10 time: 0.3360 data_time: 0.0139 memory: 8510 grad_norm: 0.1756 loss: 0.0407 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.7875 recall@top3: 0.7958 prec@top3: 0.7500 recall@top5: 0.8833 prec@top5: 0.5100 loss_action_cls: 0.0407 2022/12/03 14:31:50 - mmengine - INFO - Epoch(train) [10][4260/4451] lr: 7.1736e-06 eta: 0:01:03 time: 0.3358 data_time: 0.0134 memory: 8510 grad_norm: 0.1805 loss: 0.0408 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6765 recall@top3: 0.7157 prec@top3: 0.6275 recall@top5: 0.9314 prec@top5: 0.4588 loss_action_cls: 0.0408 2022/12/03 14:31:57 - mmengine - INFO - Epoch(train) [10][4280/4451] lr: 5.7570e-06 eta: 0:00:57 time: 0.3364 data_time: 0.0135 memory: 8510 grad_norm: 0.1765 loss: 0.0373 recall@thr=0.5: 0.7095 prec@thr=0.5: 0.8095 recall@top3: 0.9190 prec@top3: 0.5873 recall@top5: 0.9619 prec@top5: 0.3810 loss_action_cls: 0.0373 2022/12/03 14:32:04 - mmengine - INFO - Epoch(train) [10][4300/4451] lr: 4.4960e-06 eta: 0:00:50 time: 0.3367 data_time: 0.0125 memory: 8510 grad_norm: 0.1733 loss: 0.0409 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.7865 recall@top3: 0.8490 prec@top3: 0.7292 recall@top5: 0.9375 prec@top5: 0.5000 loss_action_cls: 0.0409 2022/12/03 14:32:11 - mmengine - INFO - Epoch(train) [10][4320/4451] lr: 3.3907e-06 eta: 0:00:43 time: 0.3345 data_time: 0.0129 memory: 8510 grad_norm: 0.1788 loss: 0.0377 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.8333 recall@top3: 0.8431 prec@top3: 0.6471 recall@top5: 0.9412 prec@top5: 0.4588 loss_action_cls: 0.0377 2022/12/03 14:32:17 - mmengine - INFO - Epoch(train) [10][4340/4451] lr: 2.4411e-06 eta: 0:00:37 time: 0.3332 data_time: 0.0128 memory: 8510 grad_norm: 0.1731 loss: 0.0396 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6354 recall@top3: 0.7292 prec@top3: 0.4375 recall@top5: 0.8750 prec@top5: 0.3250 loss_action_cls: 0.0396 2022/12/03 14:32:24 - mmengine - INFO - Epoch(train) [10][4360/4451] lr: 1.6471e-06 eta: 0:00:30 time: 0.3344 data_time: 0.0109 memory: 8510 grad_norm: 0.1743 loss: 0.0359 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.8736 recall@top3: 0.8678 prec@top3: 0.8046 recall@top5: 0.9713 prec@top5: 0.5586 loss_action_cls: 0.0359 2022/12/03 14:32:31 - mmengine - INFO - Epoch(train) [10][4380/4451] lr: 1.0088e-06 eta: 0:00:23 time: 0.3339 data_time: 0.0124 memory: 8510 grad_norm: 0.1808 loss: 0.0413 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.5833 recall@top3: 0.6429 prec@top3: 0.4524 recall@top5: 0.8214 prec@top5: 0.3714 loss_action_cls: 0.0413 2022/12/03 14:32:37 - mmengine - INFO - Epoch(train) [10][4400/4451] lr: 5.2620e-07 eta: 0:00:17 time: 0.3357 data_time: 0.0115 memory: 8510 grad_norm: 0.1860 loss: 0.0364 recall@thr=0.5: 0.3137 prec@thr=0.5: 0.4118 recall@top3: 0.6667 prec@top3: 0.4118 recall@top5: 0.7549 prec@top5: 0.2941 loss_action_cls: 0.0364 2022/12/03 14:32:44 - mmengine - INFO - Epoch(train) [10][4420/4451] lr: 1.9927e-07 eta: 0:00:10 time: 0.3345 data_time: 0.0125 memory: 8510 grad_norm: 0.1817 loss: 0.0422 recall@thr=0.5: 0.9479 prec@thr=0.5: 0.9271 recall@top3: 0.9323 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.4250 loss_action_cls: 0.0422 2022/12/03 14:32:51 - mmengine - INFO - Epoch(train) [10][4440/4451] lr: 2.8023e-08 eta: 0:00:03 time: 0.3345 data_time: 0.0116 memory: 8510 grad_norm: 0.1747 loss: 0.0366 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.6970 recall@top3: 0.8523 prec@top3: 0.5606 recall@top5: 0.9394 prec@top5: 0.3909 loss_action_cls: 0.0366 2022/12/03 14:32:54 - mmengine - INFO - Exp name: slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_084318 2022/12/03 14:32:54 - mmengine - INFO - Epoch(train) [10][4451/4451] lr: 1.9460e-10 eta: 0:00:00 time: 0.3282 data_time: 0.0126 memory: 8510 grad_norm: 0.1805 loss: 0.0352 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.7833 recall@top3: 1.0000 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0352 2022/12/03 14:32:54 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/12/03 14:33:00 - mmengine - INFO - Epoch(val) [10][ 20/6282] eta: 0:06:54 time: 0.0661 data_time: 0.0234 memory: 662 2022/12/03 14:33:01 - mmengine - INFO - Epoch(val) [10][ 40/6282] eta: 0:05:58 time: 0.0486 data_time: 0.0040 memory: 662 2022/12/03 14:33:02 - mmengine - INFO - Epoch(val) [10][ 60/6282] eta: 0:05:43 time: 0.0507 data_time: 0.0078 memory: 662 2022/12/03 14:33:03 - mmengine - INFO - Epoch(val) [10][ 80/6282] eta: 0:05:27 time: 0.0456 data_time: 0.0060 memory: 662 2022/12/03 14:33:04 - mmengine - INFO - Epoch(val) [10][ 100/6282] eta: 0:05:23 time: 0.0507 data_time: 0.0088 memory: 662 2022/12/03 14:33:05 - mmengine - INFO - Epoch(val) [10][ 120/6282] eta: 0:05:23 time: 0.0529 data_time: 0.0060 memory: 733 2022/12/03 14:33:06 - mmengine - INFO - Epoch(val) [10][ 140/6282] eta: 0:05:24 time: 0.0556 data_time: 0.0089 memory: 733 2022/12/03 14:33:07 - mmengine - INFO - Epoch(val) [10][ 160/6282] eta: 0:05:31 time: 0.0634 data_time: 0.0106 memory: 733 2022/12/03 14:33:09 - mmengine - INFO - Epoch(val) [10][ 180/6282] eta: 0:05:33 time: 0.0579 data_time: 0.0072 memory: 733 2022/12/03 14:33:10 - mmengine - INFO - Epoch(val) [10][ 200/6282] eta: 0:05:33 time: 0.0572 data_time: 0.0091 memory: 733 2022/12/03 14:33:11 - mmengine - INFO - Epoch(val) [10][ 220/6282] eta: 0:05:31 time: 0.0537 data_time: 0.0092 memory: 674 2022/12/03 14:33:12 - mmengine - INFO - Epoch(val) [10][ 240/6282] eta: 0:05:28 time: 0.0495 data_time: 0.0089 memory: 674 2022/12/03 14:33:13 - mmengine - INFO - Epoch(val) [10][ 260/6282] eta: 0:05:27 time: 0.0544 data_time: 0.0080 memory: 674 2022/12/03 14:33:14 - mmengine - INFO - Epoch(val) [10][ 280/6282] eta: 0:05:24 time: 0.0504 data_time: 0.0072 memory: 674 2022/12/03 14:33:15 - mmengine - INFO - Epoch(val) [10][ 300/6282] eta: 0:05:22 time: 0.0521 data_time: 0.0064 memory: 733 2022/12/03 14:33:16 - mmengine - INFO - Epoch(val) [10][ 320/6282] eta: 0:05:22 time: 0.0563 data_time: 0.0075 memory: 733 2022/12/03 14:33:17 - mmengine - INFO - Epoch(val) [10][ 340/6282] eta: 0:05:22 time: 0.0587 data_time: 0.0069 memory: 733 2022/12/03 14:33:18 - mmengine - INFO - Epoch(val) [10][ 360/6282] eta: 0:05:21 time: 0.0542 data_time: 0.0079 memory: 733 2022/12/03 14:33:20 - mmengine - INFO - Epoch(val) [10][ 380/6282] eta: 0:05:22 time: 0.0605 data_time: 0.0093 memory: 733 2022/12/03 14:33:21 - mmengine - INFO - Epoch(val) [10][ 400/6282] eta: 0:05:20 time: 0.0517 data_time: 0.0055 memory: 733 2022/12/03 14:33:22 - mmengine - INFO - Epoch(val) [10][ 420/6282] eta: 0:05:19 time: 0.0557 data_time: 0.0085 memory: 679 2022/12/03 14:33:23 - mmengine - INFO - Epoch(val) [10][ 440/6282] eta: 0:05:18 time: 0.0543 data_time: 0.0079 memory: 679 2022/12/03 14:33:24 - mmengine - INFO - Epoch(val) [10][ 460/6282] eta: 0:05:18 time: 0.0573 data_time: 0.0085 memory: 679 2022/12/03 14:33:25 - mmengine - INFO - Epoch(val) [10][ 480/6282] eta: 0:05:16 time: 0.0534 data_time: 0.0094 memory: 679 2022/12/03 14:33:26 - mmengine - INFO - Epoch(val) [10][ 500/6282] eta: 0:05:16 time: 0.0566 data_time: 0.0122 memory: 679 2022/12/03 14:33:27 - mmengine - INFO - Epoch(val) [10][ 520/6282] eta: 0:05:15 time: 0.0558 data_time: 0.0104 memory: 674 2022/12/03 14:33:28 - mmengine - INFO - Epoch(val) [10][ 540/6282] eta: 0:05:13 time: 0.0507 data_time: 0.0073 memory: 674 2022/12/03 14:33:29 - mmengine - INFO - Epoch(val) [10][ 560/6282] eta: 0:05:11 time: 0.0526 data_time: 0.0103 memory: 674 2022/12/03 14:33:31 - mmengine - INFO - Epoch(val) [10][ 580/6282] eta: 0:05:11 time: 0.0554 data_time: 0.0107 memory: 674 2022/12/03 14:33:32 - mmengine - INFO - Epoch(val) [10][ 600/6282] eta: 0:05:10 time: 0.0559 data_time: 0.0070 memory: 674 2022/12/03 14:33:33 - mmengine - INFO - Epoch(val) [10][ 620/6282] eta: 0:05:09 time: 0.0563 data_time: 0.0096 memory: 674 2022/12/03 14:33:34 - mmengine - INFO - Epoch(val) [10][ 640/6282] eta: 0:05:07 time: 0.0478 data_time: 0.0075 memory: 670 2022/12/03 14:33:35 - mmengine - INFO - Epoch(val) [10][ 660/6282] eta: 0:05:04 time: 0.0452 data_time: 0.0051 memory: 670 2022/12/03 14:33:36 - mmengine - INFO - Epoch(val) [10][ 680/6282] eta: 0:05:02 time: 0.0486 data_time: 0.0066 memory: 670 2022/12/03 14:33:37 - mmengine - INFO - Epoch(val) [10][ 700/6282] eta: 0:05:00 time: 0.0470 data_time: 0.0064 memory: 670 2022/12/03 14:33:38 - mmengine - INFO - Epoch(val) [10][ 720/6282] eta: 0:04:58 time: 0.0514 data_time: 0.0058 memory: 733 2022/12/03 14:33:39 - mmengine - INFO - Epoch(val) [10][ 740/6282] eta: 0:04:58 time: 0.0576 data_time: 0.0154 memory: 733 2022/12/03 14:33:40 - mmengine - INFO - Epoch(val) [10][ 760/6282] eta: 0:04:59 time: 0.0672 data_time: 0.0209 memory: 733 2022/12/03 14:33:41 - mmengine - INFO - Epoch(val) [10][ 780/6282] eta: 0:05:00 time: 0.0687 data_time: 0.0200 memory: 733 2022/12/03 14:33:43 - mmengine - INFO - Epoch(val) [10][ 800/6282] eta: 0:05:00 time: 0.0665 data_time: 0.0217 memory: 733 2022/12/03 14:33:44 - mmengine - INFO - Epoch(val) [10][ 820/6282] eta: 0:04:59 time: 0.0552 data_time: 0.0118 memory: 733 2022/12/03 14:33:45 - mmengine - INFO - Epoch(val) [10][ 840/6282] eta: 0:04:58 time: 0.0573 data_time: 0.0104 memory: 674 2022/12/03 14:33:46 - mmengine - INFO - Epoch(val) [10][ 860/6282] eta: 0:04:57 time: 0.0551 data_time: 0.0122 memory: 674 2022/12/03 14:33:47 - mmengine - INFO - Epoch(val) [10][ 880/6282] eta: 0:04:56 time: 0.0552 data_time: 0.0103 memory: 674 2022/12/03 14:33:48 - mmengine - INFO - Epoch(val) [10][ 900/6282] eta: 0:04:55 time: 0.0515 data_time: 0.0086 memory: 674 2022/12/03 14:33:49 - mmengine - INFO - Epoch(val) [10][ 920/6282] eta: 0:04:54 time: 0.0557 data_time: 0.0077 memory: 674 2022/12/03 14:33:51 - mmengine - INFO - Epoch(val) [10][ 940/6282] eta: 0:04:52 time: 0.0529 data_time: 0.0080 memory: 662 2022/12/03 14:33:52 - mmengine - INFO - Epoch(val) [10][ 960/6282] eta: 0:04:51 time: 0.0549 data_time: 0.0073 memory: 662 2022/12/03 14:33:53 - mmengine - INFO - Epoch(val) [10][ 980/6282] eta: 0:04:50 time: 0.0538 data_time: 0.0090 memory: 662 2022/12/03 14:33:54 - mmengine - INFO - Epoch(val) [10][1000/6282] eta: 0:04:49 time: 0.0507 data_time: 0.0061 memory: 662 2022/12/03 14:33:55 - mmengine - INFO - Epoch(val) [10][1020/6282] eta: 0:04:47 time: 0.0535 data_time: 0.0080 memory: 674 2022/12/03 14:33:56 - mmengine - INFO - Epoch(val) [10][1040/6282] eta: 0:04:46 time: 0.0517 data_time: 0.0105 memory: 674 2022/12/03 14:33:57 - mmengine - INFO 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eta: 0:04:30 time: 0.0595 data_time: 0.0149 memory: 733 2022/12/03 14:34:17 - mmengine - INFO - Epoch(val) [10][1400/6282] eta: 0:04:29 time: 0.0693 data_time: 0.0244 memory: 733 2022/12/03 14:34:18 - mmengine - INFO - Epoch(val) [10][1420/6282] eta: 0:04:29 time: 0.0633 data_time: 0.0169 memory: 733 2022/12/03 14:34:19 - mmengine - INFO - Epoch(val) [10][1440/6282] eta: 0:04:28 time: 0.0598 data_time: 0.0130 memory: 733 2022/12/03 14:34:20 - mmengine - INFO - Epoch(val) [10][1460/6282] eta: 0:04:27 time: 0.0564 data_time: 0.0069 memory: 733 2022/12/03 14:34:21 - mmengine - INFO - Epoch(val) [10][1480/6282] eta: 0:04:26 time: 0.0538 data_time: 0.0085 memory: 733 2022/12/03 14:34:22 - mmengine - INFO - Epoch(val) [10][1500/6282] eta: 0:04:25 time: 0.0525 data_time: 0.0058 memory: 733 2022/12/03 14:34:23 - mmengine - INFO - Epoch(val) [10][1520/6282] eta: 0:04:23 time: 0.0518 data_time: 0.0068 memory: 820 2022/12/03 14:34:24 - mmengine - INFO - Epoch(val) [10][1540/6282] eta: 0:04:22 time: 0.0564 data_time: 0.0058 memory: 820 2022/12/03 14:34:26 - mmengine - INFO - Epoch(val) [10][1560/6282] eta: 0:04:21 time: 0.0585 data_time: 0.0064 memory: 820 2022/12/03 14:34:27 - mmengine - INFO - Epoch(val) [10][1580/6282] eta: 0:04:20 time: 0.0613 data_time: 0.0071 memory: 820 2022/12/03 14:34:28 - mmengine - INFO - Epoch(val) [10][1600/6282] eta: 0:04:19 time: 0.0578 data_time: 0.0061 memory: 820 2022/12/03 14:34:29 - mmengine - INFO - Epoch(val) [10][1620/6282] eta: 0:04:19 time: 0.0594 data_time: 0.0074 memory: 820 2022/12/03 14:34:30 - mmengine - INFO - Epoch(val) [10][1640/6282] eta: 0:04:17 time: 0.0497 data_time: 0.0062 memory: 733 2022/12/03 14:34:31 - mmengine - INFO - Epoch(val) [10][1660/6282] eta: 0:04:16 time: 0.0520 data_time: 0.0057 memory: 733 2022/12/03 14:34:32 - mmengine - INFO - Epoch(val) [10][1680/6282] eta: 0:04:15 time: 0.0563 data_time: 0.0092 memory: 733 2022/12/03 14:34:33 - mmengine - INFO - Epoch(val) [10][1700/6282] eta: 0:04:14 time: 0.0554 data_time: 0.0063 memory: 733 2022/12/03 14:34:35 - mmengine - INFO - Epoch(val) [10][1720/6282] eta: 0:04:12 time: 0.0524 data_time: 0.0068 memory: 733 2022/12/03 14:34:36 - mmengine - INFO - Epoch(val) [10][1740/6282] eta: 0:04:11 time: 0.0510 data_time: 0.0057 memory: 733 2022/12/03 14:34:37 - mmengine - INFO - Epoch(val) [10][1760/6282] eta: 0:04:10 time: 0.0569 data_time: 0.0092 memory: 733 2022/12/03 14:34:38 - mmengine - INFO - Epoch(val) [10][1780/6282] eta: 0:04:09 time: 0.0588 data_time: 0.0090 memory: 733 2022/12/03 14:34:39 - mmengine - INFO - Epoch(val) [10][1800/6282] eta: 0:04:08 time: 0.0546 data_time: 0.0061 memory: 733 2022/12/03 14:34:40 - mmengine - INFO - Epoch(val) [10][1820/6282] eta: 0:04:07 time: 0.0571 data_time: 0.0067 memory: 733 2022/12/03 14:34:41 - mmengine - INFO - Epoch(val) [10][1840/6282] eta: 0:04:06 time: 0.0557 data_time: 0.0082 memory: 733 2022/12/03 14:34:42 - mmengine - INFO - Epoch(val) [10][1860/6282] eta: 0:04:05 time: 0.0540 data_time: 0.0072 memory: 733 2022/12/03 14:34:44 - mmengine - INFO - Epoch(val) [10][1880/6282] eta: 0:04:04 time: 0.0592 data_time: 0.0082 memory: 733 2022/12/03 14:34:45 - mmengine - INFO - Epoch(val) [10][1900/6282] eta: 0:04:03 time: 0.0711 data_time: 0.0182 memory: 733 2022/12/03 14:34:46 - mmengine - INFO - Epoch(val) [10][1920/6282] eta: 0:04:03 time: 0.0664 data_time: 0.0138 memory: 733 2022/12/03 14:34:48 - mmengine - INFO - Epoch(val) [10][1940/6282] eta: 0:04:02 time: 0.0610 data_time: 0.0108 memory: 733 2022/12/03 14:34:49 - mmengine - INFO - Epoch(val) [10][1960/6282] eta: 0:04:01 time: 0.0527 data_time: 0.0076 memory: 679 2022/12/03 14:34:50 - mmengine - INFO - Epoch(val) [10][1980/6282] eta: 0:03:59 time: 0.0526 data_time: 0.0095 memory: 679 2022/12/03 14:34:51 - mmengine - INFO - Epoch(val) [10][2000/6282] eta: 0:03:58 time: 0.0488 data_time: 0.0075 memory: 679 2022/12/03 14:34:52 - mmengine - INFO - Epoch(val) [10][2020/6282] eta: 0:03:57 time: 0.0500 data_time: 0.0077 memory: 679 2022/12/03 14:34:53 - mmengine - INFO - Epoch(val) [10][2040/6282] eta: 0:03:55 time: 0.0551 data_time: 0.0087 memory: 679 2022/12/03 14:34:54 - mmengine - INFO - Epoch(val) [10][2060/6282] eta: 0:03:54 time: 0.0556 data_time: 0.0079 memory: 679 2022/12/03 14:34:55 - mmengine - INFO - Epoch(val) [10][2080/6282] eta: 0:03:53 time: 0.0538 data_time: 0.0061 memory: 679 2022/12/03 14:34:56 - mmengine - INFO - Epoch(val) [10][2100/6282] eta: 0:03:52 time: 0.0578 data_time: 0.0112 memory: 679 2022/12/03 14:34:57 - mmengine - INFO - Epoch(val) [10][2120/6282] eta: 0:03:51 time: 0.0548 data_time: 0.0109 memory: 679 2022/12/03 14:34:58 - mmengine - INFO - Epoch(val) [10][2140/6282] eta: 0:03:50 time: 0.0573 data_time: 0.0069 memory: 679 2022/12/03 14:34:59 - mmengine - INFO - Epoch(val) [10][2160/6282] eta: 0:03:49 time: 0.0532 data_time: 0.0087 memory: 674 2022/12/03 14:35:00 - mmengine - INFO - Epoch(val) [10][2180/6282] eta: 0:03:48 time: 0.0533 data_time: 0.0077 memory: 674 2022/12/03 14:35:02 - mmengine - INFO - Epoch(val) [10][2200/6282] eta: 0:03:46 time: 0.0539 data_time: 0.0102 memory: 674 2022/12/03 14:35:03 - mmengine - INFO - Epoch(val) [10][2220/6282] eta: 0:03:45 time: 0.0531 data_time: 0.0082 memory: 674 2022/12/03 14:35:04 - mmengine - INFO - Epoch(val) [10][2240/6282] eta: 0:03:44 time: 0.0522 data_time: 0.0083 memory: 674 2022/12/03 14:35:05 - mmengine - INFO - Epoch(val) [10][2260/6282] eta: 0:03:43 time: 0.0511 data_time: 0.0070 memory: 679 2022/12/03 14:35:06 - mmengine - INFO - Epoch(val) [10][2280/6282] eta: 0:03:41 time: 0.0534 data_time: 0.0070 memory: 679 2022/12/03 14:35:07 - mmengine - INFO - Epoch(val) [10][2300/6282] eta: 0:03:40 time: 0.0511 data_time: 0.0080 memory: 679 2022/12/03 14:35:08 - mmengine - INFO - Epoch(val) [10][2320/6282] eta: 0:03:39 time: 0.0525 data_time: 0.0101 memory: 679 2022/12/03 14:35:09 - mmengine - INFO - Epoch(val) [10][2340/6282] eta: 0:03:38 time: 0.0510 data_time: 0.0088 memory: 679 2022/12/03 14:35:10 - mmengine - INFO - Epoch(val) [10][2360/6282] eta: 0:03:37 time: 0.0538 data_time: 0.0100 memory: 674 2022/12/03 14:35:11 - mmengine - INFO - Epoch(val) [10][2380/6282] eta: 0:03:35 time: 0.0515 data_time: 0.0072 memory: 674 2022/12/03 14:35:12 - mmengine - INFO - Epoch(val) [10][2400/6282] eta: 0:03:34 time: 0.0541 data_time: 0.0076 memory: 674 2022/12/03 14:35:13 - mmengine - INFO - Epoch(val) [10][2420/6282] eta: 0:03:33 time: 0.0529 data_time: 0.0076 memory: 674 2022/12/03 14:35:14 - mmengine - INFO - Epoch(val) [10][2440/6282] eta: 0:03:32 time: 0.0506 data_time: 0.0090 memory: 674 2022/12/03 14:35:15 - mmengine - INFO - Epoch(val) [10][2460/6282] eta: 0:03:31 time: 0.0569 data_time: 0.0099 memory: 733 2022/12/03 14:35:16 - mmengine - INFO - Epoch(val) [10][2480/6282] eta: 0:03:30 time: 0.0576 data_time: 0.0082 memory: 733 2022/12/03 14:35:18 - mmengine - INFO - Epoch(val) [10][2500/6282] eta: 0:03:29 time: 0.0551 data_time: 0.0079 memory: 733 2022/12/03 14:35:19 - mmengine - INFO - Epoch(val) [10][2520/6282] eta: 0:03:27 time: 0.0521 data_time: 0.0077 memory: 733 2022/12/03 14:35:20 - mmengine - INFO - Epoch(val) [10][2540/6282] eta: 0:03:26 time: 0.0583 data_time: 0.0086 memory: 733 2022/12/03 14:35:21 - mmengine - INFO - Epoch(val) [10][2560/6282] eta: 0:03:25 time: 0.0569 data_time: 0.0092 memory: 733 2022/12/03 14:35:22 - mmengine - INFO - Epoch(val) [10][2580/6282] eta: 0:03:24 time: 0.0612 data_time: 0.0139 memory: 733 2022/12/03 14:35:23 - mmengine - INFO - Epoch(val) [10][2600/6282] eta: 0:03:23 time: 0.0587 data_time: 0.0102 memory: 733 2022/12/03 14:35:25 - mmengine - INFO - Epoch(val) [10][2620/6282] eta: 0:03:22 time: 0.0611 data_time: 0.0130 memory: 733 2022/12/03 14:35:26 - mmengine - INFO - Epoch(val) [10][2640/6282] eta: 0:03:21 time: 0.0610 data_time: 0.0120 memory: 733 2022/12/03 14:35:27 - mmengine - INFO - Epoch(val) [10][2660/6282] eta: 0:03:20 time: 0.0580 data_time: 0.0074 memory: 812 2022/12/03 14:35:28 - mmengine - INFO - Epoch(val) 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eta: 0:03:10 time: 0.0521 data_time: 0.0089 memory: 679 2022/12/03 14:35:38 - mmengine - INFO - Epoch(val) [10][2860/6282] eta: 0:03:09 time: 0.0554 data_time: 0.0073 memory: 733 2022/12/03 14:35:39 - mmengine - INFO - Epoch(val) [10][2880/6282] eta: 0:03:08 time: 0.0595 data_time: 0.0133 memory: 733 2022/12/03 14:35:40 - mmengine - INFO - Epoch(val) [10][2900/6282] eta: 0:03:07 time: 0.0567 data_time: 0.0089 memory: 733 2022/12/03 14:35:42 - mmengine - INFO - Epoch(val) [10][2920/6282] eta: 0:03:06 time: 0.0548 data_time: 0.0086 memory: 733 2022/12/03 14:35:43 - mmengine - INFO - Epoch(val) [10][2940/6282] eta: 0:03:05 time: 0.0528 data_time: 0.0070 memory: 702 2022/12/03 14:35:44 - mmengine - INFO - Epoch(val) [10][2960/6282] eta: 0:03:04 time: 0.0513 data_time: 0.0075 memory: 702 2022/12/03 14:35:45 - mmengine - INFO - Epoch(val) [10][2980/6282] eta: 0:03:03 time: 0.0531 data_time: 0.0063 memory: 702 2022/12/03 14:35:46 - mmengine - INFO - Epoch(val) [10][3000/6282] eta: 0:03:01 time: 0.0500 data_time: 0.0077 memory: 702 2022/12/03 14:35:47 - mmengine - INFO - Epoch(val) [10][3020/6282] eta: 0:03:00 time: 0.0565 data_time: 0.0089 memory: 733 2022/12/03 14:35:48 - mmengine - INFO - Epoch(val) [10][3040/6282] eta: 0:02:59 time: 0.0587 data_time: 0.0078 memory: 733 2022/12/03 14:35:49 - mmengine - INFO - Epoch(val) [10][3060/6282] eta: 0:02:58 time: 0.0565 data_time: 0.0095 memory: 733 2022/12/03 14:35:50 - mmengine - INFO - Epoch(val) [10][3080/6282] eta: 0:02:57 time: 0.0567 data_time: 0.0073 memory: 733 2022/12/03 14:35:51 - mmengine - INFO - Epoch(val) [10][3100/6282] eta: 0:02:56 time: 0.0506 data_time: 0.0046 memory: 733 2022/12/03 14:35:52 - mmengine - INFO - Epoch(val) [10][3120/6282] eta: 0:02:55 time: 0.0525 data_time: 0.0088 memory: 679 2022/12/03 14:35:53 - mmengine - INFO - Epoch(val) [10][3140/6282] eta: 0:02:53 time: 0.0507 data_time: 0.0074 memory: 679 2022/12/03 14:35:54 - mmengine - INFO - Epoch(val) [10][3160/6282] eta: 0:02:52 time: 0.0514 data_time: 0.0067 memory: 679 2022/12/03 14:35:55 - mmengine - INFO - Epoch(val) [10][3180/6282] eta: 0:02:51 time: 0.0503 data_time: 0.0063 memory: 679 2022/12/03 14:35:57 - mmengine - INFO - Epoch(val) [10][3200/6282] eta: 0:02:50 time: 0.0542 data_time: 0.0092 memory: 733 2022/12/03 14:35:58 - mmengine - INFO - Epoch(val) [10][3220/6282] eta: 0:02:49 time: 0.0531 data_time: 0.0068 memory: 733 2022/12/03 14:35:59 - mmengine - INFO - Epoch(val) [10][3240/6282] eta: 0:02:48 time: 0.0542 data_time: 0.0054 memory: 733 2022/12/03 14:36:00 - mmengine - INFO - Epoch(val) [10][3260/6282] eta: 0:02:47 time: 0.0541 data_time: 0.0072 memory: 733 2022/12/03 14:36:01 - mmengine - INFO - Epoch(val) [10][3280/6282] eta: 0:02:45 time: 0.0559 data_time: 0.0090 memory: 733 2022/12/03 14:36:02 - mmengine - INFO - Epoch(val) [10][3300/6282] eta: 0:02:44 time: 0.0545 data_time: 0.0076 memory: 733 2022/12/03 14:36:03 - mmengine - INFO - Epoch(val) [10][3320/6282] eta: 0:02:43 time: 0.0567 data_time: 0.0086 memory: 733 2022/12/03 14:36:04 - mmengine - INFO - Epoch(val) [10][3340/6282] eta: 0:02:42 time: 0.0572 data_time: 0.0070 memory: 733 2022/12/03 14:36:05 - mmengine - INFO - Epoch(val) [10][3360/6282] eta: 0:02:41 time: 0.0561 data_time: 0.0060 memory: 733 2022/12/03 14:36:07 - mmengine - INFO - Epoch(val) [10][3380/6282] eta: 0:02:40 time: 0.0581 data_time: 0.0098 memory: 733 2022/12/03 14:36:08 - mmengine - INFO - Epoch(val) [10][3400/6282] eta: 0:02:39 time: 0.0560 data_time: 0.0076 memory: 674 2022/12/03 14:36:09 - mmengine - INFO - Epoch(val) [10][3420/6282] eta: 0:02:38 time: 0.0534 data_time: 0.0071 memory: 674 2022/12/03 14:36:10 - mmengine - INFO - Epoch(val) [10][3440/6282] eta: 0:02:37 time: 0.0524 data_time: 0.0076 memory: 674 2022/12/03 14:36:11 - mmengine - INFO - Epoch(val) [10][3460/6282] eta: 0:02:36 time: 0.0528 data_time: 0.0067 memory: 674 2022/12/03 14:36:12 - mmengine - INFO - Epoch(val) [10][3480/6282] eta: 0:02:34 time: 0.0516 data_time: 0.0091 memory: 674 2022/12/03 14:36:13 - mmengine - INFO - Epoch(val) [10][3500/6282] eta: 0:02:33 time: 0.0536 data_time: 0.0086 memory: 674 2022/12/03 14:36:14 - mmengine - INFO - Epoch(val) [10][3520/6282] eta: 0:02:32 time: 0.0513 data_time: 0.0060 memory: 674 2022/12/03 14:36:15 - mmengine - INFO - Epoch(val) [10][3540/6282] eta: 0:02:31 time: 0.0502 data_time: 0.0085 memory: 674 2022/12/03 14:36:16 - mmengine - INFO - Epoch(val) [10][3560/6282] eta: 0:02:30 time: 0.0511 data_time: 0.0069 memory: 674 2022/12/03 14:36:17 - mmengine - INFO - Epoch(val) [10][3580/6282] eta: 0:02:29 time: 0.0510 data_time: 0.0092 memory: 716 2022/12/03 14:36:18 - mmengine - INFO - Epoch(val) [10][3600/6282] eta: 0:02:27 time: 0.0528 data_time: 0.0064 memory: 716 2022/12/03 14:36:19 - mmengine - INFO - Epoch(val) [10][3620/6282] eta: 0:02:26 time: 0.0528 data_time: 0.0070 memory: 716 2022/12/03 14:36:20 - mmengine - INFO - Epoch(val) [10][3640/6282] eta: 0:02:25 time: 0.0588 data_time: 0.0084 memory: 716 2022/12/03 14:36:21 - mmengine - INFO - Epoch(val) [10][3660/6282] eta: 0:02:24 time: 0.0517 data_time: 0.0058 memory: 716 2022/12/03 14:36:23 - mmengine - INFO - Epoch(val) [10][3680/6282] eta: 0:02:23 time: 0.0543 data_time: 0.0075 memory: 733 2022/12/03 14:36:24 - mmengine - INFO - Epoch(val) [10][3700/6282] eta: 0:02:22 time: 0.0591 data_time: 0.0099 memory: 733 2022/12/03 14:36:25 - mmengine - INFO - Epoch(val) [10][3720/6282] eta: 0:02:21 time: 0.0594 data_time: 0.0084 memory: 733 2022/12/03 14:36:26 - mmengine - INFO - Epoch(val) [10][3740/6282] eta: 0:02:20 time: 0.0618 data_time: 0.0094 memory: 733 2022/12/03 14:36:27 - mmengine - INFO - Epoch(val) [10][3760/6282] eta: 0:02:19 time: 0.0608 data_time: 0.0096 memory: 733 2022/12/03 14:36:28 - mmengine - INFO - Epoch(val) [10][3780/6282] eta: 0:02:18 time: 0.0562 data_time: 0.0064 memory: 733 2022/12/03 14:36:30 - mmengine - INFO - Epoch(val) [10][3800/6282] eta: 0:02:17 time: 0.0530 data_time: 0.0068 memory: 733 2022/12/03 14:36:31 - mmengine - INFO - Epoch(val) [10][3820/6282] eta: 0:02:16 time: 0.0587 data_time: 0.0091 memory: 733 2022/12/03 14:36:32 - mmengine - INFO - Epoch(val) [10][3840/6282] eta: 0:02:14 time: 0.0535 data_time: 0.0066 memory: 733 2022/12/03 14:36:33 - mmengine - INFO - Epoch(val) [10][3860/6282] eta: 0:02:13 time: 0.0580 data_time: 0.0080 memory: 733 2022/12/03 14:36:34 - mmengine - INFO - Epoch(val) [10][3880/6282] eta: 0:02:12 time: 0.0564 data_time: 0.0070 memory: 733 2022/12/03 14:36:35 - mmengine - INFO - Epoch(val) [10][3900/6282] eta: 0:02:11 time: 0.0536 data_time: 0.0089 memory: 733 2022/12/03 14:36:36 - mmengine - INFO - Epoch(val) [10][3920/6282] eta: 0:02:10 time: 0.0551 data_time: 0.0057 memory: 733 2022/12/03 14:36:37 - mmengine - INFO - Epoch(val) [10][3940/6282] eta: 0:02:09 time: 0.0536 data_time: 0.0061 memory: 733 2022/12/03 14:36:38 - mmengine - INFO - Epoch(val) [10][3960/6282] eta: 0:02:08 time: 0.0534 data_time: 0.0060 memory: 733 2022/12/03 14:36:40 - mmengine - INFO - Epoch(val) [10][3980/6282] eta: 0:02:07 time: 0.0541 data_time: 0.0065 memory: 733 2022/12/03 14:36:41 - mmengine - INFO - Epoch(val) [10][4000/6282] eta: 0:02:05 time: 0.0510 data_time: 0.0048 memory: 733 2022/12/03 14:36:42 - mmengine - INFO - Epoch(val) [10][4020/6282] eta: 0:02:04 time: 0.0530 data_time: 0.0087 memory: 733 2022/12/03 14:36:43 - mmengine - INFO - Epoch(val) [10][4040/6282] eta: 0:02:03 time: 0.0544 data_time: 0.0053 memory: 812 2022/12/03 14:36:44 - mmengine - INFO - Epoch(val) [10][4060/6282] eta: 0:02:02 time: 0.0566 data_time: 0.0079 memory: 812 2022/12/03 14:36:45 - mmengine - INFO - Epoch(val) [10][4080/6282] eta: 0:02:01 time: 0.0557 data_time: 0.0061 memory: 812 2022/12/03 14:36:46 - mmengine - INFO - Epoch(val) [10][4100/6282] eta: 0:02:00 time: 0.0606 data_time: 0.0069 memory: 812 2022/12/03 14:36:47 - mmengine - INFO - Epoch(val) [10][4120/6282] eta: 0:01:59 time: 0.0589 data_time: 0.0046 memory: 812 2022/12/03 14:36:48 - mmengine - INFO - Epoch(val) [10][4140/6282] eta: 0:01:58 time: 0.0561 data_time: 0.0104 memory: 812 2022/12/03 14:36:50 - mmengine - INFO - Epoch(val) [10][4160/6282] eta: 0:01:57 time: 0.0551 data_time: 0.0065 memory: 674 2022/12/03 14:36:51 - mmengine - INFO - Epoch(val) [10][4180/6282] eta: 0:01:56 time: 0.0525 data_time: 0.0068 memory: 674 2022/12/03 14:36:52 - mmengine - INFO - Epoch(val) [10][4200/6282] eta: 0:01:55 time: 0.0557 data_time: 0.0102 memory: 674 2022/12/03 14:36:53 - mmengine - INFO - Epoch(val) [10][4220/6282] eta: 0:01:53 time: 0.0504 data_time: 0.0073 memory: 674 2022/12/03 14:36:54 - mmengine - INFO - Epoch(val) [10][4240/6282] eta: 0:01:52 time: 0.0526 data_time: 0.0078 memory: 674 2022/12/03 14:36:55 - mmengine - INFO - Epoch(val) [10][4260/6282] eta: 0:01:51 time: 0.0547 data_time: 0.0099 memory: 673 2022/12/03 14:36:56 - mmengine - INFO - Epoch(val) [10][4280/6282] eta: 0:01:50 time: 0.0499 data_time: 0.0051 memory: 673 2022/12/03 14:36:57 - mmengine - INFO - Epoch(val) [10][4300/6282] eta: 0:01:49 time: 0.0515 data_time: 0.0110 memory: 673 2022/12/03 14:36:58 - mmengine - INFO - Epoch(val) [10][4320/6282] eta: 0:01:48 time: 0.0493 data_time: 0.0061 memory: 673 2022/12/03 14:36:59 - mmengine - INFO - Epoch(val) [10][4340/6282] eta: 0:01:47 time: 0.0497 data_time: 0.0069 memory: 673 2022/12/03 14:37:00 - mmengine - INFO - Epoch(val) [10][4360/6282] eta: 0:01:45 time: 0.0550 data_time: 0.0065 memory: 733 2022/12/03 14:37:01 - mmengine - INFO - Epoch(val) [10][4380/6282] eta: 0:01:44 time: 0.0534 data_time: 0.0074 memory: 733 2022/12/03 14:37:02 - mmengine - INFO - Epoch(val) [10][4400/6282] eta: 0:01:43 time: 0.0528 data_time: 0.0078 memory: 733 2022/12/03 14:37:03 - mmengine - INFO - Epoch(val) [10][4420/6282] eta: 0:01:42 time: 0.0573 data_time: 0.0088 memory: 733 2022/12/03 14:37:04 - mmengine - INFO - Epoch(val) [10][4440/6282] eta: 0:01:41 time: 0.0575 data_time: 0.0085 memory: 740 2022/12/03 14:37:06 - mmengine - INFO - Epoch(val) [10][4460/6282] eta: 0:01:40 time: 0.0567 data_time: 0.0063 memory: 740 2022/12/03 14:37:07 - mmengine - INFO - Epoch(val) [10][4480/6282] eta: 0:01:39 time: 0.0578 data_time: 0.0087 memory: 740 2022/12/03 14:37:08 - mmengine - INFO - Epoch(val) [10][4500/6282] eta: 0:01:38 time: 0.0593 data_time: 0.0083 memory: 740 2022/12/03 14:37:09 - mmengine - INFO - Epoch(val) [10][4520/6282] eta: 0:01:37 time: 0.0547 data_time: 0.0061 memory: 740 2022/12/03 14:37:10 - mmengine - INFO - Epoch(val) [10][4540/6282] eta: 0:01:36 time: 0.0615 data_time: 0.0145 memory: 679 2022/12/03 14:37:11 - mmengine - INFO - Epoch(val) [10][4560/6282] eta: 0:01:34 time: 0.0514 data_time: 0.0081 memory: 679 2022/12/03 14:37:12 - mmengine - INFO - Epoch(val) [10][4580/6282] eta: 0:01:33 time: 0.0526 data_time: 0.0089 memory: 679 2022/12/03 14:37:13 - mmengine - INFO - Epoch(val) [10][4600/6282] eta: 0:01:32 time: 0.0519 data_time: 0.0095 memory: 679 2022/12/03 14:37:14 - mmengine - INFO - Epoch(val) [10][4620/6282] eta: 0:01:31 time: 0.0511 data_time: 0.0080 memory: 679 2022/12/03 14:37:16 - mmengine - INFO - Epoch(val) [10][4640/6282] eta: 0:01:30 time: 0.0532 data_time: 0.0068 memory: 740 2022/12/03 14:37:17 - mmengine - INFO - Epoch(val) [10][4660/6282] eta: 0:01:29 time: 0.0552 data_time: 0.0077 memory: 740 2022/12/03 14:37:18 - mmengine - INFO - Epoch(val) [10][4680/6282] eta: 0:01:28 time: 0.0572 data_time: 0.0077 memory: 740 2022/12/03 14:37:19 - mmengine - INFO - Epoch(val) [10][4700/6282] eta: 0:01:27 time: 0.0563 data_time: 0.0081 memory: 740 2022/12/03 14:37:20 - mmengine - INFO - Epoch(val) [10][4720/6282] eta: 0:01:26 time: 0.0609 data_time: 0.0093 memory: 740 2022/12/03 14:37:21 - mmengine - INFO - Epoch(val) [10][4740/6282] eta: 0:01:25 time: 0.0542 data_time: 0.0084 memory: 699 2022/12/03 14:37:22 - mmengine - INFO - Epoch(val) [10][4760/6282] eta: 0:01:23 time: 0.0516 data_time: 0.0078 memory: 699 2022/12/03 14:37:23 - mmengine - INFO - Epoch(val) [10][4780/6282] eta: 0:01:22 time: 0.0568 data_time: 0.0106 memory: 699 2022/12/03 14:37:25 - mmengine - INFO - Epoch(val) [10][4800/6282] eta: 0:01:21 time: 0.0541 data_time: 0.0087 memory: 699 2022/12/03 14:37:26 - mmengine - INFO - Epoch(val) [10][4820/6282] eta: 0:01:20 time: 0.0552 data_time: 0.0074 memory: 733 2022/12/03 14:37:27 - mmengine - INFO - Epoch(val) [10][4840/6282] eta: 0:01:19 time: 0.0556 data_time: 0.0067 memory: 733 2022/12/03 14:37:28 - mmengine - INFO - Epoch(val) [10][4860/6282] eta: 0:01:18 time: 0.0561 data_time: 0.0077 memory: 733 2022/12/03 14:37:29 - mmengine - INFO - Epoch(val) [10][4880/6282] eta: 0:01:17 time: 0.0535 data_time: 0.0060 memory: 733 2022/12/03 14:37:30 - mmengine - INFO - Epoch(val) [10][4900/6282] eta: 0:01:16 time: 0.0543 data_time: 0.0069 memory: 733 2022/12/03 14:37:31 - mmengine - INFO - Epoch(val) [10][4920/6282] eta: 0:01:15 time: 0.0562 data_time: 0.0066 memory: 736 2022/12/03 14:37:32 - mmengine - INFO - Epoch(val) [10][4940/6282] eta: 0:01:14 time: 0.0593 data_time: 0.0073 memory: 736 2022/12/03 14:37:33 - mmengine - INFO - Epoch(val) [10][4960/6282] eta: 0:01:12 time: 0.0544 data_time: 0.0054 memory: 736 2022/12/03 14:37:35 - mmengine - INFO - Epoch(val) [10][4980/6282] eta: 0:01:11 time: 0.0586 data_time: 0.0101 memory: 736 2022/12/03 14:37:36 - mmengine - INFO - Epoch(val) [10][5000/6282] eta: 0:01:10 time: 0.0561 data_time: 0.0086 memory: 736 2022/12/03 14:37:37 - mmengine - INFO - Epoch(val) [10][5020/6282] eta: 0:01:09 time: 0.0532 data_time: 0.0086 memory: 736 2022/12/03 14:37:38 - mmengine - INFO - Epoch(val) [10][5040/6282] eta: 0:01:08 time: 0.0538 data_time: 0.0069 memory: 679 2022/12/03 14:37:39 - mmengine - INFO - Epoch(val) [10][5060/6282] eta: 0:01:07 time: 0.0532 data_time: 0.0070 memory: 679 2022/12/03 14:37:40 - mmengine - INFO - Epoch(val) [10][5080/6282] eta: 0:01:06 time: 0.0508 data_time: 0.0058 memory: 679 2022/12/03 14:37:41 - mmengine - INFO - Epoch(val) [10][5100/6282] eta: 0:01:05 time: 0.0536 data_time: 0.0077 memory: 679 2022/12/03 14:37:42 - mmengine - INFO - Epoch(val) [10][5120/6282] eta: 0:01:04 time: 0.0542 data_time: 0.0075 memory: 679 2022/12/03 14:37:43 - mmengine - INFO - Epoch(val) [10][5140/6282] eta: 0:01:02 time: 0.0533 data_time: 0.0077 memory: 674 2022/12/03 14:37:44 - mmengine - INFO - Epoch(val) [10][5160/6282] eta: 0:01:01 time: 0.0517 data_time: 0.0079 memory: 674 2022/12/03 14:37:45 - mmengine - INFO - Epoch(val) [10][5180/6282] eta: 0:01:00 time: 0.0530 data_time: 0.0073 memory: 674 2022/12/03 14:37:46 - mmengine - INFO - Epoch(val) [10][5200/6282] eta: 0:00:59 time: 0.0550 data_time: 0.0083 memory: 674 2022/12/03 14:37:48 - mmengine - INFO - Epoch(val) [10][5220/6282] eta: 0:00:58 time: 0.0564 data_time: 0.0088 memory: 674 2022/12/03 14:37:49 - mmengine - INFO - Epoch(val) [10][5240/6282] eta: 0:00:57 time: 0.0515 data_time: 0.0079 memory: 673 2022/12/03 14:37:50 - mmengine - INFO - Epoch(val) [10][5260/6282] eta: 0:00:56 time: 0.0582 data_time: 0.0094 memory: 673 2022/12/03 14:37:51 - mmengine - INFO - Epoch(val) [10][5280/6282] eta: 0:00:55 time: 0.0534 data_time: 0.0080 memory: 673 2022/12/03 14:37:52 - mmengine - INFO - Epoch(val) [10][5300/6282] eta: 0:00:54 time: 0.0512 data_time: 0.0066 memory: 673 2022/12/03 14:37:53 - mmengine - INFO - Epoch(val) [10][5320/6282] eta: 0:00:52 time: 0.0528 data_time: 0.0071 memory: 674 2022/12/03 14:37:54 - mmengine - INFO - Epoch(val) [10][5340/6282] eta: 0:00:51 time: 0.0562 data_time: 0.0073 memory: 674 2022/12/03 14:37:55 - mmengine - INFO - Epoch(val) [10][5360/6282] eta: 0:00:50 time: 0.0523 data_time: 0.0053 memory: 674 2022/12/03 14:37:56 - mmengine - INFO - Epoch(val) [10][5380/6282] eta: 0:00:49 time: 0.0546 data_time: 0.0078 memory: 674 2022/12/03 14:37:57 - mmengine - INFO - Epoch(val) [10][5400/6282] eta: 0:00:48 time: 0.0556 data_time: 0.0103 memory: 674 2022/12/03 14:37:58 - mmengine - INFO - Epoch(val) [10][5420/6282] eta: 0:00:47 time: 0.0529 data_time: 0.0073 memory: 674 2022/12/03 14:37:59 - mmengine - INFO - Epoch(val) [10][5440/6282] eta: 0:00:46 time: 0.0533 data_time: 0.0076 memory: 674 2022/12/03 14:38:01 - mmengine - INFO - Epoch(val) [10][5460/6282] eta: 0:00:45 time: 0.0540 data_time: 0.0075 memory: 674 2022/12/03 14:38:02 - mmengine - INFO - Epoch(val) [10][5480/6282] eta: 0:00:44 time: 0.0547 data_time: 0.0063 memory: 674 2022/12/03 14:38:03 - mmengine - INFO - Epoch(val) [10][5500/6282] eta: 0:00:43 time: 0.0518 data_time: 0.0074 memory: 674 2022/12/03 14:38:04 - mmengine - INFO - Epoch(val) [10][5520/6282] eta: 0:00:41 time: 0.0566 data_time: 0.0121 memory: 695 2022/12/03 14:38:05 - mmengine - INFO - Epoch(val) [10][5540/6282] eta: 0:00:40 time: 0.0553 data_time: 0.0083 memory: 695 2022/12/03 14:38:06 - mmengine - INFO - Epoch(val) [10][5560/6282] eta: 0:00:39 time: 0.0530 data_time: 0.0094 memory: 695 2022/12/03 14:38:07 - mmengine - INFO - Epoch(val) [10][5580/6282] eta: 0:00:38 time: 0.0516 data_time: 0.0055 memory: 695 2022/12/03 14:38:08 - mmengine - INFO - Epoch(val) [10][5600/6282] eta: 0:00:37 time: 0.0544 data_time: 0.0075 memory: 695 2022/12/03 14:38:09 - mmengine - INFO - Epoch(val) [10][5620/6282] eta: 0:00:36 time: 0.0537 data_time: 0.0090 memory: 695 2022/12/03 14:38:10 - mmengine - INFO - Epoch(val) [10][5640/6282] eta: 0:00:35 time: 0.0546 data_time: 0.0070 memory: 674 2022/12/03 14:38:11 - mmengine - INFO - Epoch(val) [10][5660/6282] eta: 0:00:34 time: 0.0527 data_time: 0.0078 memory: 674 2022/12/03 14:38:12 - mmengine - INFO - Epoch(val) [10][5680/6282] eta: 0:00:33 time: 0.0502 data_time: 0.0070 memory: 674 2022/12/03 14:38:13 - mmengine - INFO - Epoch(val) [10][5700/6282] eta: 0:00:31 time: 0.0504 data_time: 0.0071 memory: 674 2022/12/03 14:38:14 - mmengine - INFO - Epoch(val) [10][5720/6282] eta: 0:00:30 time: 0.0479 data_time: 0.0051 memory: 708 2022/12/03 14:38:15 - mmengine - INFO - Epoch(val) [10][5740/6282] eta: 0:00:29 time: 0.0546 data_time: 0.0086 memory: 708 2022/12/03 14:38:17 - mmengine - INFO - Epoch(val) [10][5760/6282] eta: 0:00:28 time: 0.0562 data_time: 0.0086 memory: 708 2022/12/03 14:38:18 - mmengine - INFO - Epoch(val) [10][5780/6282] eta: 0:00:27 time: 0.0579 data_time: 0.0084 memory: 708 2022/12/03 14:38:19 - mmengine - INFO - Epoch(val) [10][5800/6282] eta: 0:00:26 time: 0.0558 data_time: 0.0102 memory: 708 2022/12/03 14:38:20 - mmengine - INFO - Epoch(val) [10][5820/6282] eta: 0:00:25 time: 0.0525 data_time: 0.0080 memory: 708 2022/12/03 14:38:21 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:24 time: 0.0529 data_time: 0.0089 memory: 695 2022/12/03 14:38:22 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:23 time: 0.0556 data_time: 0.0091 memory: 695 2022/12/03 14:38:23 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:22 time: 0.0529 data_time: 0.0086 memory: 695 2022/12/03 14:38:24 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:20 time: 0.0528 data_time: 0.0075 memory: 695 2022/12/03 14:38:25 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:19 time: 0.0512 data_time: 0.0078 memory: 695 2022/12/03 14:38:26 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:18 time: 0.0515 data_time: 0.0058 memory: 674 2022/12/03 14:38:27 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:17 time: 0.0526 data_time: 0.0085 memory: 674 2022/12/03 14:38:28 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:16 time: 0.0509 data_time: 0.0093 memory: 674 2022/12/03 14:38:29 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:15 time: 0.0566 data_time: 0.0065 memory: 733 2022/12/03 14:38:31 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:14 time: 0.0566 data_time: 0.0072 memory: 733 2022/12/03 14:38:32 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:13 time: 0.0584 data_time: 0.0076 memory: 733 2022/12/03 14:38:33 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:12 time: 0.0563 data_time: 0.0084 memory: 733 2022/12/03 14:38:34 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:11 time: 0.0563 data_time: 0.0070 memory: 733 2022/12/03 14:38:35 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:09 time: 0.0570 data_time: 0.0107 memory: 733 2022/12/03 14:38:36 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:08 time: 0.0580 data_time: 0.0093 memory: 733 2022/12/03 14:38:38 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:07 time: 0.0567 data_time: 0.0070 memory: 733 2022/12/03 14:38:39 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:06 time: 0.0538 data_time: 0.0064 memory: 733 2022/12/03 14:38:40 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:05 time: 0.0551 data_time: 0.0093 memory: 733 2022/12/03 14:38:41 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:04 time: 0.0537 data_time: 0.0067 memory: 733 2022/12/03 14:38:42 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:03 time: 0.0477 data_time: 0.0047 memory: 733 2022/12/03 14:38:43 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:02 time: 0.0445 data_time: 0.0044 memory: 733 2022/12/03 14:38:43 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:01 time: 0.0366 data_time: 0.0028 memory: 733 2022/12/03 14:38:44 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0356 data_time: 0.0030 memory: 733 2022/12/03 14:43:07 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.2610 2022/12/03 14:43:07 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics400-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_9.pth is removed 2022/12/03 14:43:09 - mmengine - INFO - The best checkpoint with 0.2610 mAP/mAP@0.5IOU at 10 epoch is saved to best_mAP/mAP@0.5IOU_epoch_10.pth.