2022/12/03 17:14:09 - 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: 2053801805 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /mnt/cache/share/cuda-11.1 NVCC: Cuda compilation tools, release 11.1, V11.1.74 GCC: gcc (GCC) 5.4.0 PyTorch: 1.10.0+cu111 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 11.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86 - CuDNN 8.0.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.11.0+cu111 OpenCV: 4.5.5 MMEngine: 0.3.2 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None diff_rank_seed: False deterministic: False Distributed launcher: slurm Distributed training: True GPU number: 8 ------------------------------------------------------------ 2022/12/03 17:14:11 - mmengine - INFO - Config: default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=20, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=1, save_best='auto', max_keep_ckpts=2), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffers=dict(type='SyncBuffersHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='ActionVisualizer', vis_backends=[dict(type='LocalVisBackend')]) log_level = 'INFO' load_from = None resume = False url = 'https://download.openmmlab.com/mmaction/v1.0/recognition/slowonly/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb_20221013-15b93b10.pth' model = dict( type='FastRCNN', _scope_='mmdet', init_cfg=dict( type='Pretrained', checkpoint= 'https://download.openmmlab.com/mmaction/v1.0/recognition/slowonly/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb/slowonly_imagenet-pretrained-r50_16xb16-8x8x1-steplr-150e_kinetics700-rgb_20221013-15b93b10.pth' ), backbone=dict( type='ResNet3dSlowOnly', depth=50, pretrained=None, pretrained2d=False, lateral=False, num_stages=4, conv1_kernel=(1, 7, 7), conv1_stride_t=1, pool1_stride_t=1, spatial_strides=(1, 2, 2, 1)), roi_head=dict( type='AVARoIHead', bbox_roi_extractor=dict( type='SingleRoIExtractor3D', roi_layer_type='RoIAlign', output_size=8, with_temporal_pool=True), 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_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb' randomness = dict(seed=None, diff_rank_seed=False, deterministic=False) 2022/12/03 17:14:11 - mmengine - INFO - Result has been saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/modules_statistic_results.json 2022/12/03 17:14:13 - 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 17:14:44 - mmengine - INFO - 284842 out of 284842 frames are valid. 2022/12/03 17:14:57 - mmengine - INFO - 50252 out of 50252 frames are valid. 2022/12/03 17:15:01 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb. 2022/12/03 17:15:16 - mmengine - INFO - Epoch(train) [1][ 20/4451] lr: 1.0192e-02 eta: 9:07:11 time: 0.7380 data_time: 0.4191 memory: 8510 grad_norm: 0.9260 loss: 0.2112 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5343 recall@top3: 0.5392 prec@top3: 0.4314 recall@top5: 0.6765 prec@top5: 0.3294 loss_action_cls: 0.2112 2022/12/03 17:15:22 - mmengine - INFO - Epoch(train) [1][ 40/4451] lr: 1.0394e-02 eta: 6:32:08 time: 0.3202 data_time: 0.0105 memory: 8510 grad_norm: 0.2862 loss: 0.1392 recall@thr=0.5: 0.2649 prec@thr=0.5: 0.2878 recall@top3: 0.4613 prec@top3: 0.3214 recall@top5: 0.6964 prec@top5: 0.2643 loss_action_cls: 0.1392 2022/12/03 17:15:28 - mmengine - INFO - Epoch(train) [1][ 60/4451] lr: 1.0597e-02 eta: 5:39:57 time: 0.3185 data_time: 0.0108 memory: 8510 grad_norm: 0.2520 loss: 0.1373 recall@thr=0.5: 0.1667 prec@thr=0.5: 0.1220 recall@top3: 0.4167 prec@top3: 0.2778 recall@top5: 0.6181 prec@top5: 0.2583 loss_action_cls: 0.1373 2022/12/03 17:15:35 - mmengine - INFO - Epoch(train) [1][ 80/4451] lr: 1.0799e-02 eta: 5:13:46 time: 0.3183 data_time: 0.0112 memory: 8510 grad_norm: 0.2583 loss: 0.1191 recall@thr=0.5: 0.2870 prec@thr=0.5: 0.4444 recall@top3: 0.6806 prec@top3: 0.4630 recall@top5: 0.7130 prec@top5: 0.3000 loss_action_cls: 0.1191 2022/12/03 17:15:41 - mmengine - INFO - Epoch(train) [1][ 100/4451] lr: 1.1001e-02 eta: 4:57:56 time: 0.3177 data_time: 0.0103 memory: 8510 grad_norm: 0.2659 loss: 0.1047 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.3241 recall@top3: 0.7222 prec@top3: 0.5000 recall@top5: 0.8333 prec@top5: 0.3667 loss_action_cls: 0.1047 2022/12/03 17:15:48 - mmengine - INFO - Epoch(train) [1][ 120/4451] lr: 1.1203e-02 eta: 4:47:25 time: 0.3183 data_time: 0.0095 memory: 8510 grad_norm: 0.2508 loss: 0.1212 recall@thr=0.5: 0.2073 prec@thr=0.5: 0.3819 recall@top3: 0.4740 prec@top3: 0.3958 recall@top5: 0.6146 prec@top5: 0.3125 loss_action_cls: 0.1212 2022/12/03 17:15:54 - mmengine - INFO - Epoch(train) [1][ 140/4451] lr: 1.1405e-02 eta: 4:39:43 time: 0.3169 data_time: 0.0095 memory: 8510 grad_norm: 0.2396 loss: 0.1128 recall@thr=0.5: 0.0926 prec@thr=0.5: 0.1574 recall@top3: 0.3815 prec@top3: 0.3148 recall@top5: 0.5833 prec@top5: 0.3222 loss_action_cls: 0.1128 2022/12/03 17:16:00 - mmengine - INFO - Epoch(train) [1][ 160/4451] lr: 1.1608e-02 eta: 4:34:09 time: 0.3193 data_time: 0.0097 memory: 8510 grad_norm: 0.2522 loss: 0.1144 recall@thr=0.5: 0.3904 prec@thr=0.5: 0.5175 recall@top3: 0.5702 prec@top3: 0.4386 recall@top5: 0.7632 prec@top5: 0.3263 loss_action_cls: 0.1144 2022/12/03 17:16:07 - mmengine - INFO - Epoch(train) [1][ 180/4451] lr: 1.1810e-02 eta: 4:29:38 time: 0.3174 data_time: 0.0093 memory: 8510 grad_norm: 0.2166 loss: 0.1151 recall@thr=0.5: 0.1793 prec@thr=0.5: 0.2906 recall@top3: 0.4783 prec@top3: 0.4444 recall@top5: 0.5535 prec@top5: 0.3212 loss_action_cls: 0.1151 2022/12/03 17:16:13 - mmengine - INFO - Epoch(train) [1][ 200/4451] lr: 1.2012e-02 eta: 4:26:05 time: 0.3185 data_time: 0.0097 memory: 8510 grad_norm: 0.2182 loss: 0.1067 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.5417 recall@top3: 0.7743 prec@top3: 0.5000 recall@top5: 0.9028 prec@top5: 0.3750 loss_action_cls: 0.1067 2022/12/03 17:16:19 - mmengine - INFO - Epoch(train) [1][ 220/4451] lr: 1.2214e-02 eta: 4:23:09 time: 0.3183 data_time: 0.0097 memory: 8510 grad_norm: 0.2196 loss: 0.1074 recall@thr=0.5: 0.3102 prec@thr=0.5: 0.4898 recall@top3: 0.4259 prec@top3: 0.3889 recall@top5: 0.5556 prec@top5: 0.3111 loss_action_cls: 0.1074 2022/12/03 17:16:26 - mmengine - INFO - Epoch(train) [1][ 240/4451] lr: 1.2417e-02 eta: 4:20:41 time: 0.3185 data_time: 0.0098 memory: 8510 grad_norm: 0.2258 loss: 0.1058 recall@thr=0.5: 0.4450 prec@thr=0.5: 0.5764 recall@top3: 0.5317 prec@top3: 0.5333 recall@top5: 0.7142 prec@top5: 0.4400 loss_action_cls: 0.1058 2022/12/03 17:16:32 - mmengine - INFO - Epoch(train) [1][ 260/4451] lr: 1.2619e-02 eta: 4:18:35 time: 0.3183 data_time: 0.0116 memory: 8510 grad_norm: 0.2296 loss: 0.0999 recall@thr=0.5: 0.3431 prec@thr=0.5: 0.4902 recall@top3: 0.6422 prec@top3: 0.4510 recall@top5: 0.8039 prec@top5: 0.3412 loss_action_cls: 0.0999 2022/12/03 17:16:38 - mmengine - INFO - Epoch(train) [1][ 280/4451] lr: 1.2821e-02 eta: 4:16:47 time: 0.3186 data_time: 0.0094 memory: 8510 grad_norm: 0.2552 loss: 0.1130 recall@thr=0.5: 0.4127 prec@thr=0.5: 0.4792 recall@top3: 0.5238 prec@top3: 0.5079 recall@top5: 0.7460 prec@top5: 0.4000 loss_action_cls: 0.1130 2022/12/03 17:16:45 - mmengine - INFO - Epoch(train) [1][ 300/4451] lr: 1.3023e-02 eta: 4:15:10 time: 0.3177 data_time: 0.0105 memory: 8510 grad_norm: 0.2161 loss: 0.0989 recall@thr=0.5: 0.4735 prec@thr=0.5: 0.4656 recall@top3: 0.6970 prec@top3: 0.5455 recall@top5: 0.8371 prec@top5: 0.4091 loss_action_cls: 0.0989 2022/12/03 17:16:51 - mmengine - INFO - Epoch(train) [1][ 320/4451] lr: 1.3225e-02 eta: 4:13:48 time: 0.3193 data_time: 0.0109 memory: 8510 grad_norm: 0.2288 loss: 0.1252 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7407 recall@top3: 0.7037 prec@top3: 0.5370 recall@top5: 0.8889 prec@top5: 0.4111 loss_action_cls: 0.1252 2022/12/03 17:16:58 - mmengine - INFO - Epoch(train) [1][ 340/4451] lr: 1.3428e-02 eta: 4:12:35 time: 0.3192 data_time: 0.0106 memory: 8510 grad_norm: 0.2301 loss: 0.1110 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.4167 recall@top3: 0.5357 prec@top3: 0.3095 recall@top5: 0.6667 prec@top5: 0.2286 loss_action_cls: 0.1110 2022/12/03 17:17:04 - mmengine - INFO - Epoch(train) [1][ 360/4451] lr: 1.3630e-02 eta: 4:11:25 time: 0.3171 data_time: 0.0097 memory: 8510 grad_norm: 0.2332 loss: 0.1076 recall@thr=0.5: 0.4827 prec@thr=0.5: 0.5300 recall@top3: 0.5693 prec@top3: 0.5333 recall@top5: 0.6840 prec@top5: 0.3840 loss_action_cls: 0.1076 2022/12/03 17:17:10 - mmengine - INFO - Epoch(train) [1][ 380/4451] lr: 1.3832e-02 eta: 4:10:23 time: 0.3183 data_time: 0.0095 memory: 8510 grad_norm: 0.2282 loss: 0.1109 recall@thr=0.5: 0.2971 prec@thr=0.5: 0.4420 recall@top3: 0.6413 prec@top3: 0.4928 recall@top5: 0.7899 prec@top5: 0.3652 loss_action_cls: 0.1109 2022/12/03 17:17:17 - mmengine - INFO - Epoch(train) [1][ 400/4451] lr: 1.4034e-02 eta: 4:09:30 time: 0.3191 data_time: 0.0096 memory: 8510 grad_norm: 0.2287 loss: 0.0986 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.5714 recall@top3: 0.7024 prec@top3: 0.4524 recall@top5: 0.8690 prec@top5: 0.3571 loss_action_cls: 0.0986 2022/12/03 17:17:23 - mmengine - INFO - Epoch(train) [1][ 420/4451] lr: 1.4237e-02 eta: 4:08:38 time: 0.3179 data_time: 0.0099 memory: 8510 grad_norm: 0.2346 loss: 0.1012 recall@thr=0.5: 0.4487 prec@thr=0.5: 0.7308 recall@top3: 0.6795 prec@top3: 0.5897 recall@top5: 0.7436 prec@top5: 0.3846 loss_action_cls: 0.1012 2022/12/03 17:17:29 - mmengine - INFO - Epoch(train) [1][ 440/4451] lr: 1.4439e-02 eta: 4:07:53 time: 0.3196 data_time: 0.0108 memory: 8510 grad_norm: 0.2524 loss: 0.1126 recall@thr=0.5: 0.2014 prec@thr=0.5: 0.2708 recall@top3: 0.7153 prec@top3: 0.4028 recall@top5: 0.8542 prec@top5: 0.2833 loss_action_cls: 0.1126 2022/12/03 17:17:36 - mmengine - INFO - Epoch(train) [1][ 460/4451] lr: 1.4641e-02 eta: 4:07:12 time: 0.3192 data_time: 0.0100 memory: 8510 grad_norm: 0.2394 loss: 0.0971 recall@thr=0.5: 0.3951 prec@thr=0.5: 0.5741 recall@top3: 0.6204 prec@top3: 0.5926 recall@top5: 0.8611 prec@top5: 0.4815 loss_action_cls: 0.0971 2022/12/03 17:17:42 - mmengine - INFO - Epoch(train) [1][ 480/4451] lr: 1.4843e-02 eta: 4:06:30 time: 0.3179 data_time: 0.0099 memory: 8510 grad_norm: 0.2350 loss: 0.1029 recall@thr=0.5: 0.3871 prec@thr=0.5: 0.3575 recall@top3: 0.6613 prec@top3: 0.4301 recall@top5: 0.7742 prec@top5: 0.3161 loss_action_cls: 0.1029 2022/12/03 17:17:49 - mmengine - INFO - Epoch(train) [1][ 500/4451] lr: 1.5046e-02 eta: 4:05:52 time: 0.3180 data_time: 0.0104 memory: 8510 grad_norm: 0.2478 loss: 0.0943 recall@thr=0.5: 0.2843 prec@thr=0.5: 0.3529 recall@top3: 0.7941 prec@top3: 0.4706 recall@top5: 0.9118 prec@top5: 0.3176 loss_action_cls: 0.0943 2022/12/03 17:17:55 - mmengine - INFO - Epoch(train) [1][ 520/4451] lr: 1.5248e-02 eta: 4:05:18 time: 0.3189 data_time: 0.0095 memory: 8510 grad_norm: 0.2271 loss: 0.0930 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.6812 recall@top3: 0.7681 prec@top3: 0.5217 recall@top5: 0.9275 prec@top5: 0.3913 loss_action_cls: 0.0930 2022/12/03 17:18:01 - mmengine - INFO - Epoch(train) [1][ 540/4451] lr: 1.5450e-02 eta: 4:04:46 time: 0.3191 data_time: 0.0098 memory: 8510 grad_norm: 0.2479 loss: 0.0938 recall@thr=0.5: 0.3302 prec@thr=0.5: 0.4753 recall@top3: 0.7037 prec@top3: 0.7407 recall@top5: 0.8457 prec@top5: 0.5556 loss_action_cls: 0.0938 2022/12/03 17:18:08 - mmengine - INFO - Epoch(train) [1][ 560/4451] lr: 1.5652e-02 eta: 4:04:15 time: 0.3188 data_time: 0.0100 memory: 8510 grad_norm: 0.2414 loss: 0.1032 recall@thr=0.5: 0.2353 prec@thr=0.5: 0.3137 recall@top3: 0.5882 prec@top3: 0.3529 recall@top5: 0.7059 prec@top5: 0.2588 loss_action_cls: 0.1032 2022/12/03 17:18:14 - mmengine - INFO - Epoch(train) [1][ 580/4451] lr: 1.5854e-02 eta: 4:03:47 time: 0.3195 data_time: 0.0099 memory: 8510 grad_norm: 0.2225 loss: 0.0859 recall@thr=0.5: 0.3877 prec@thr=0.5: 0.5797 recall@top3: 0.6594 prec@top3: 0.4493 recall@top5: 0.8986 prec@top5: 0.3826 loss_action_cls: 0.0859 2022/12/03 17:18:20 - mmengine - INFO - Epoch(train) [1][ 600/4451] lr: 1.6057e-02 eta: 4:03:20 time: 0.3187 data_time: 0.0097 memory: 8510 grad_norm: 0.2409 loss: 0.1065 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.4333 recall@top3: 0.7333 prec@top3: 0.3778 recall@top5: 0.8000 prec@top5: 0.2533 loss_action_cls: 0.1065 2022/12/03 17:18:27 - mmengine - INFO - Epoch(train) [1][ 620/4451] lr: 1.6259e-02 eta: 4:02:53 time: 0.3178 data_time: 0.0097 memory: 8510 grad_norm: 0.2302 loss: 0.1116 recall@thr=0.5: 0.4431 prec@thr=0.5: 0.5784 recall@top3: 0.7627 prec@top3: 0.5686 recall@top5: 0.8441 prec@top5: 0.4118 loss_action_cls: 0.1116 2022/12/03 17:18:33 - mmengine - INFO - Epoch(train) [1][ 640/4451] lr: 1.6461e-02 eta: 4:02:26 time: 0.3179 data_time: 0.0096 memory: 8510 grad_norm: 0.2151 loss: 0.1066 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7222 recall@top3: 0.7963 prec@top3: 0.6667 recall@top5: 0.9630 prec@top5: 0.4778 loss_action_cls: 0.1066 2022/12/03 17:18:40 - mmengine - INFO - Epoch(train) [1][ 660/4451] lr: 1.6663e-02 eta: 4:02:02 time: 0.3184 data_time: 0.0113 memory: 8510 grad_norm: 0.2536 loss: 0.1080 recall@thr=0.5: 0.6422 prec@thr=0.5: 0.7157 recall@top3: 0.8088 prec@top3: 0.6667 recall@top5: 0.9069 prec@top5: 0.4588 loss_action_cls: 0.1080 2022/12/03 17:18:46 - mmengine - INFO - Epoch(train) [1][ 680/4451] lr: 1.6866e-02 eta: 4:01:40 time: 0.3190 data_time: 0.0105 memory: 8510 grad_norm: 0.2265 loss: 0.0951 recall@thr=0.5: 0.3294 prec@thr=0.5: 0.5556 recall@top3: 0.5913 prec@top3: 0.5397 recall@top5: 0.8254 prec@top5: 0.4381 loss_action_cls: 0.0951 2022/12/03 17:18:52 - mmengine - INFO - Epoch(train) [1][ 700/4451] lr: 1.7068e-02 eta: 4:01:19 time: 0.3191 data_time: 0.0101 memory: 8510 grad_norm: 0.2581 loss: 0.0917 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6176 recall@top3: 0.7647 prec@top3: 0.5490 recall@top5: 0.8431 prec@top5: 0.3765 loss_action_cls: 0.0917 2022/12/03 17:18:59 - mmengine - INFO - Epoch(train) [1][ 720/4451] lr: 1.7270e-02 eta: 4:00:57 time: 0.3182 data_time: 0.0111 memory: 8510 grad_norm: 0.2540 loss: 0.0969 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.5196 recall@top3: 0.5098 prec@top3: 0.3922 recall@top5: 0.6471 prec@top5: 0.2941 loss_action_cls: 0.0969 2022/12/03 17:19:05 - mmengine - INFO - Epoch(train) [1][ 740/4451] lr: 1.7472e-02 eta: 4:00:38 time: 0.3200 data_time: 0.0098 memory: 8510 grad_norm: 0.2394 loss: 0.0937 recall@thr=0.5: 0.5260 prec@thr=0.5: 0.5937 recall@top3: 0.6823 prec@top3: 0.5417 recall@top5: 0.8542 prec@top5: 0.4125 loss_action_cls: 0.0937 2022/12/03 17:19:11 - mmengine - INFO - Epoch(train) [1][ 760/4451] lr: 1.7674e-02 eta: 4:00:19 time: 0.3190 data_time: 0.0123 memory: 8510 grad_norm: 0.2295 loss: 0.0930 recall@thr=0.5: 0.2532 prec@thr=0.5: 0.3590 recall@top3: 0.6987 prec@top3: 0.5769 recall@top5: 0.8494 prec@top5: 0.4538 loss_action_cls: 0.0930 2022/12/03 17:19:18 - mmengine - INFO - Epoch(train) [1][ 780/4451] lr: 1.7877e-02 eta: 4:00:01 time: 0.3189 data_time: 0.0098 memory: 8510 grad_norm: 0.2289 loss: 0.0969 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.6944 recall@top3: 0.6597 prec@top3: 0.6250 recall@top5: 0.8139 prec@top5: 0.4917 loss_action_cls: 0.0969 2022/12/03 17:19:24 - mmengine - INFO - Epoch(train) [1][ 800/4451] lr: 1.8079e-02 eta: 3:59:44 time: 0.3201 data_time: 0.0103 memory: 8510 grad_norm: 0.2222 loss: 0.0928 recall@thr=0.5: 0.4069 prec@thr=0.5: 0.6422 recall@top3: 0.6667 prec@top3: 0.6471 recall@top5: 0.7941 prec@top5: 0.4706 loss_action_cls: 0.0928 2022/12/03 17:19:31 - mmengine - INFO - Epoch(train) [1][ 820/4451] lr: 1.8281e-02 eta: 3:59:27 time: 0.3192 data_time: 0.0098 memory: 8510 grad_norm: 0.2524 loss: 0.0739 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4907 recall@top3: 0.5185 prec@top3: 0.3889 recall@top5: 0.6111 prec@top5: 0.2778 loss_action_cls: 0.0739 2022/12/03 17:19:37 - mmengine - INFO - Epoch(train) [1][ 840/4451] lr: 1.8483e-02 eta: 3:59:08 time: 0.3167 data_time: 0.0099 memory: 8510 grad_norm: 0.2474 loss: 0.0830 recall@thr=0.5: 0.5235 prec@thr=0.5: 0.5686 recall@top3: 0.6412 prec@top3: 0.5490 recall@top5: 0.7588 prec@top5: 0.3882 loss_action_cls: 0.0830 2022/12/03 17:19:43 - mmengine - INFO - Epoch(train) [1][ 860/4451] lr: 1.8686e-02 eta: 3:58:52 time: 0.3195 data_time: 0.0098 memory: 8510 grad_norm: 0.2205 loss: 0.0974 recall@thr=0.5: 0.3083 prec@thr=0.5: 0.5625 recall@top3: 0.4681 prec@top3: 0.3889 recall@top5: 0.8417 prec@top5: 0.4250 loss_action_cls: 0.0974 2022/12/03 17:19:50 - mmengine - INFO - Epoch(train) [1][ 880/4451] lr: 1.8888e-02 eta: 3:58:36 time: 0.3193 data_time: 0.0100 memory: 8510 grad_norm: 0.2404 loss: 0.1065 recall@thr=0.5: 0.4015 prec@thr=0.5: 0.5606 recall@top3: 0.6667 prec@top3: 0.5606 recall@top5: 0.7955 prec@top5: 0.4000 loss_action_cls: 0.1065 2022/12/03 17:19:56 - mmengine - INFO - Epoch(train) [1][ 900/4451] lr: 1.9090e-02 eta: 3:58:22 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.2232 loss: 0.0951 recall@thr=0.5: 0.3630 prec@thr=0.5: 0.6204 recall@top3: 0.7537 prec@top3: 0.5741 recall@top5: 0.9222 prec@top5: 0.4444 loss_action_cls: 0.0951 2022/12/03 17:20:02 - mmengine - INFO - Epoch(train) [1][ 920/4451] lr: 1.9292e-02 eta: 3:58:07 time: 0.3193 data_time: 0.0097 memory: 8510 grad_norm: 0.2190 loss: 0.1014 recall@thr=0.5: 0.2847 prec@thr=0.5: 0.3611 recall@top3: 0.4167 prec@top3: 0.3611 recall@top5: 0.7188 prec@top5: 0.3917 loss_action_cls: 0.1014 2022/12/03 17:20:09 - mmengine - INFO - Epoch(train) [1][ 940/4451] lr: 1.9494e-02 eta: 3:57:52 time: 0.3182 data_time: 0.0103 memory: 8510 grad_norm: 0.2304 loss: 0.0905 recall@thr=0.5: 0.5396 prec@thr=0.5: 0.6042 recall@top3: 0.7479 prec@top3: 0.5417 recall@top5: 0.9021 prec@top5: 0.4375 loss_action_cls: 0.0905 2022/12/03 17:20:15 - mmengine - INFO - Epoch(train) [1][ 960/4451] lr: 1.9697e-02 eta: 3:57:38 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.2245 loss: 0.1057 recall@thr=0.5: 0.5590 prec@thr=0.5: 0.6701 recall@top3: 0.7701 prec@top3: 0.6806 recall@top5: 0.9187 prec@top5: 0.5250 loss_action_cls: 0.1057 2022/12/03 17:20:22 - mmengine - INFO - Epoch(train) [1][ 980/4451] lr: 1.9899e-02 eta: 3:57:25 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.2314 loss: 0.1007 recall@thr=0.5: 0.3947 prec@thr=0.5: 0.4079 recall@top3: 0.7281 prec@top3: 0.4737 recall@top5: 0.8333 prec@top5: 0.3474 loss_action_cls: 0.1007 2022/12/03 17:20:28 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 17:20:28 - mmengine - INFO - Epoch(train) [1][1000/4451] lr: 2.0101e-02 eta: 3:57:12 time: 0.3197 data_time: 0.0107 memory: 8510 grad_norm: 0.2171 loss: 0.1165 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.5247 recall@top3: 0.7037 prec@top3: 0.4815 recall@top5: 0.8426 prec@top5: 0.3704 loss_action_cls: 0.1165 2022/12/03 17:20:34 - mmengine - INFO - Epoch(train) [1][1020/4451] lr: 2.0303e-02 eta: 3:56:58 time: 0.3187 data_time: 0.0100 memory: 8510 grad_norm: 0.2293 loss: 0.0995 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5227 recall@top3: 0.6705 prec@top3: 0.5000 recall@top5: 0.8295 prec@top5: 0.3545 loss_action_cls: 0.0995 2022/12/03 17:20:41 - mmengine - INFO - Epoch(train) [1][1040/4451] lr: 2.0506e-02 eta: 3:56:45 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.2520 loss: 0.1035 recall@thr=0.5: 0.5159 prec@thr=0.5: 0.5952 recall@top3: 0.9048 prec@top3: 0.5873 recall@top5: 0.9405 prec@top5: 0.3714 loss_action_cls: 0.1035 2022/12/03 17:20:47 - mmengine - INFO - Epoch(train) [1][1060/4451] lr: 2.0708e-02 eta: 3:56:33 time: 0.3191 data_time: 0.0116 memory: 8510 grad_norm: 0.2421 loss: 0.0947 recall@thr=0.5: 0.5071 prec@thr=0.5: 0.5817 recall@top3: 0.6111 prec@top3: 0.5556 recall@top5: 0.8937 prec@top5: 0.4857 loss_action_cls: 0.0947 2022/12/03 17:20:54 - mmengine - INFO - Epoch(train) [1][1080/4451] lr: 2.0910e-02 eta: 3:56:20 time: 0.3194 data_time: 0.0101 memory: 8510 grad_norm: 0.2437 loss: 0.0852 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.7193 recall@top3: 0.8816 prec@top3: 0.7719 recall@top5: 0.9298 prec@top5: 0.4947 loss_action_cls: 0.0852 2022/12/03 17:21:00 - mmengine - INFO - Epoch(train) [1][1100/4451] lr: 2.1112e-02 eta: 3:56:08 time: 0.3191 data_time: 0.0098 memory: 8510 grad_norm: 0.2392 loss: 0.0997 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6556 recall@top3: 0.9333 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0997 2022/12/03 17:21:06 - mmengine - INFO - Epoch(train) [1][1120/4451] lr: 2.1314e-02 eta: 3:55:55 time: 0.3186 data_time: 0.0100 memory: 8510 grad_norm: 0.2507 loss: 0.0899 recall@thr=0.5: 0.2500 prec@thr=0.5: 0.3021 recall@top3: 0.7396 prec@top3: 0.3750 recall@top5: 0.9062 prec@top5: 0.3000 loss_action_cls: 0.0899 2022/12/03 17:21:13 - mmengine - INFO - Epoch(train) [1][1140/4451] lr: 2.1517e-02 eta: 3:55:44 time: 0.3203 data_time: 0.0098 memory: 8510 grad_norm: 0.2499 loss: 0.1075 recall@thr=0.5: 0.4757 prec@thr=0.5: 0.7222 recall@top3: 0.7222 prec@top3: 0.6944 recall@top5: 0.8333 prec@top5: 0.4917 loss_action_cls: 0.1075 2022/12/03 17:21:19 - mmengine - INFO - Epoch(train) [1][1160/4451] lr: 2.1719e-02 eta: 3:55:32 time: 0.3187 data_time: 0.0103 memory: 8510 grad_norm: 0.2506 loss: 0.1063 recall@thr=0.5: 0.3250 prec@thr=0.5: 0.4333 recall@top3: 0.5292 prec@top3: 0.4167 recall@top5: 0.7042 prec@top5: 0.3300 loss_action_cls: 0.1063 2022/12/03 17:21:26 - mmengine - INFO - Epoch(train) [1][1180/4451] lr: 2.1921e-02 eta: 3:55:21 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.2311 loss: 0.0920 recall@thr=0.5: 0.3684 prec@thr=0.5: 0.4035 recall@top3: 0.6535 prec@top3: 0.4912 recall@top5: 0.8114 prec@top5: 0.3684 loss_action_cls: 0.0920 2022/12/03 17:21:32 - mmengine - INFO - Epoch(train) [1][1200/4451] lr: 2.2123e-02 eta: 3:55:10 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.2216 loss: 0.0779 recall@thr=0.5: 0.3500 prec@thr=0.5: 0.3000 recall@top3: 0.5167 prec@top3: 0.3833 recall@top5: 0.8083 prec@top5: 0.3700 loss_action_cls: 0.0779 2022/12/03 17:21:38 - mmengine - INFO - Epoch(train) [1][1220/4451] lr: 2.2326e-02 eta: 3:54:59 time: 0.3200 data_time: 0.0097 memory: 8510 grad_norm: 0.2337 loss: 0.0980 recall@thr=0.5: 0.4083 prec@thr=0.5: 0.5449 recall@top3: 0.7417 prec@top3: 0.6026 recall@top5: 0.8468 prec@top5: 0.4308 loss_action_cls: 0.0980 2022/12/03 17:21:45 - mmengine - INFO - Epoch(train) [1][1240/4451] lr: 2.2528e-02 eta: 3:54:48 time: 0.3192 data_time: 0.0103 memory: 8510 grad_norm: 0.2389 loss: 0.1036 recall@thr=0.5: 0.7468 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.5641 recall@top5: 1.0000 prec@top5: 0.4231 loss_action_cls: 0.1036 2022/12/03 17:21:51 - mmengine - INFO - Epoch(train) [1][1260/4451] lr: 2.2730e-02 eta: 3:54:37 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.2457 loss: 0.0950 recall@thr=0.5: 0.4154 prec@thr=0.5: 0.5385 recall@top3: 0.5436 prec@top3: 0.5513 recall@top5: 0.8513 prec@top5: 0.5077 loss_action_cls: 0.0950 2022/12/03 17:21:57 - mmengine - INFO - Epoch(train) [1][1280/4451] lr: 2.2932e-02 eta: 3:54:26 time: 0.3187 data_time: 0.0099 memory: 8510 grad_norm: 0.2307 loss: 0.0864 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.6944 recall@top3: 0.6944 prec@top3: 0.6481 recall@top5: 0.7685 prec@top5: 0.4333 loss_action_cls: 0.0864 2022/12/03 17:22:04 - mmengine - INFO - Epoch(train) [1][1300/4451] lr: 2.3134e-02 eta: 3:54:16 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.2489 loss: 0.0917 recall@thr=0.5: 0.3519 prec@thr=0.5: 0.4444 recall@top3: 0.6019 prec@top3: 0.5000 recall@top5: 0.6944 prec@top5: 0.3556 loss_action_cls: 0.0917 2022/12/03 17:22:10 - mmengine - INFO - Epoch(train) [1][1320/4451] lr: 2.3337e-02 eta: 3:54:06 time: 0.3198 data_time: 0.0098 memory: 8510 grad_norm: 0.2373 loss: 0.0974 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6863 recall@top3: 0.7696 prec@top3: 0.6667 recall@top5: 0.9265 prec@top5: 0.5176 loss_action_cls: 0.0974 2022/12/03 17:22:17 - mmengine - INFO - Epoch(train) [1][1340/4451] lr: 2.3539e-02 eta: 3:53:57 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.2125 loss: 0.0896 recall@thr=0.5: 0.3235 prec@thr=0.5: 0.5588 recall@top3: 0.7353 prec@top3: 0.5686 recall@top5: 0.8922 prec@top5: 0.4235 loss_action_cls: 0.0896 2022/12/03 17:22:23 - mmengine - INFO - Epoch(train) [1][1360/4451] lr: 2.3741e-02 eta: 3:53:46 time: 0.3188 data_time: 0.0106 memory: 8510 grad_norm: 0.2246 loss: 0.1109 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.6349 recall@top3: 0.7857 prec@top3: 0.5079 recall@top5: 0.9286 prec@top5: 0.3714 loss_action_cls: 0.1109 2022/12/03 17:22:29 - mmengine - INFO - Epoch(train) [1][1380/4451] lr: 2.3943e-02 eta: 3:53:36 time: 0.3191 data_time: 0.0113 memory: 8510 grad_norm: 0.2357 loss: 0.1063 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.6212 recall@top3: 0.5909 prec@top3: 0.4545 recall@top5: 0.8333 prec@top5: 0.3636 loss_action_cls: 0.1063 2022/12/03 17:22:36 - mmengine - INFO - Epoch(train) [1][1400/4451] lr: 2.4146e-02 eta: 3:53:27 time: 0.3207 data_time: 0.0103 memory: 8510 grad_norm: 0.2215 loss: 0.0913 recall@thr=0.5: 0.4603 prec@thr=0.5: 0.5754 recall@top3: 0.6230 prec@top3: 0.5873 recall@top5: 0.8889 prec@top5: 0.5048 loss_action_cls: 0.0913 2022/12/03 17:22:42 - mmengine - INFO - Epoch(train) [1][1420/4451] lr: 2.4348e-02 eta: 3:53:18 time: 0.3208 data_time: 0.0104 memory: 8510 grad_norm: 0.2299 loss: 0.1114 recall@thr=0.5: 0.4737 prec@thr=0.5: 0.5614 recall@top3: 0.8026 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4316 loss_action_cls: 0.1114 2022/12/03 17:22:49 - mmengine - INFO - Epoch(train) [1][1440/4451] lr: 2.4550e-02 eta: 3:53:08 time: 0.3190 data_time: 0.0117 memory: 8510 grad_norm: 0.2523 loss: 0.0863 recall@thr=0.5: 0.2625 prec@thr=0.5: 0.4250 recall@top3: 0.6542 prec@top3: 0.5167 recall@top5: 0.8625 prec@top5: 0.4400 loss_action_cls: 0.0863 2022/12/03 17:22:55 - mmengine - INFO - Epoch(train) [1][1460/4451] lr: 2.4752e-02 eta: 3:52:58 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.2378 loss: 0.0850 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.6000 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.8667 prec@top5: 0.4100 loss_action_cls: 0.0850 2022/12/03 17:23:01 - mmengine - INFO - Epoch(train) [1][1480/4451] lr: 2.4954e-02 eta: 3:52:48 time: 0.3191 data_time: 0.0104 memory: 8510 grad_norm: 0.2424 loss: 0.0847 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.5083 recall@top3: 0.5500 prec@top3: 0.4167 recall@top5: 0.7917 prec@top5: 0.3600 loss_action_cls: 0.0847 2022/12/03 17:23:08 - mmengine - INFO - Epoch(train) [1][1500/4451] lr: 2.5157e-02 eta: 3:52:38 time: 0.3177 data_time: 0.0096 memory: 8510 grad_norm: 0.2407 loss: 0.0936 recall@thr=0.5: 0.5154 prec@thr=0.5: 0.5741 recall@top3: 0.7037 prec@top3: 0.5679 recall@top5: 0.8981 prec@top5: 0.4296 loss_action_cls: 0.0936 2022/12/03 17:23:14 - mmengine - INFO - Epoch(train) [1][1520/4451] lr: 2.5359e-02 eta: 3:52:28 time: 0.3188 data_time: 0.0106 memory: 8510 grad_norm: 0.2206 loss: 0.0885 recall@thr=0.5: 0.2431 prec@thr=0.5: 0.4167 recall@top3: 0.5903 prec@top3: 0.4722 recall@top5: 0.8889 prec@top5: 0.4333 loss_action_cls: 0.0885 2022/12/03 17:23:21 - mmengine - INFO - Epoch(train) [1][1540/4451] lr: 2.5561e-02 eta: 3:52:19 time: 0.3194 data_time: 0.0095 memory: 8510 grad_norm: 0.2171 loss: 0.0862 recall@thr=0.5: 0.4600 prec@thr=0.5: 0.6000 recall@top3: 0.8033 prec@top3: 0.5467 recall@top5: 0.8867 prec@top5: 0.3680 loss_action_cls: 0.0862 2022/12/03 17:23:27 - mmengine - INFO - Epoch(train) [1][1560/4451] lr: 2.5763e-02 eta: 3:52:09 time: 0.3187 data_time: 0.0097 memory: 8510 grad_norm: 0.2499 loss: 0.0904 recall@thr=0.5: 0.2778 prec@thr=0.5: 0.3254 recall@top3: 0.5079 prec@top3: 0.3333 recall@top5: 0.8968 prec@top5: 0.3524 loss_action_cls: 0.0904 2022/12/03 17:23:33 - mmengine - INFO - Epoch(train) [1][1580/4451] lr: 2.5966e-02 eta: 3:52:00 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.2144 loss: 0.0850 recall@thr=0.5: 0.4292 prec@thr=0.5: 0.4658 recall@top3: 0.7292 prec@top3: 0.4333 recall@top5: 0.9375 prec@top5: 0.3500 loss_action_cls: 0.0850 2022/12/03 17:23:40 - mmengine - INFO - Epoch(train) [1][1600/4451] lr: 2.6168e-02 eta: 3:51:51 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.2352 loss: 0.0912 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.4706 recall@top3: 0.7843 prec@top3: 0.5294 recall@top5: 0.9118 prec@top5: 0.3765 loss_action_cls: 0.0912 2022/12/03 17:23:46 - mmengine - INFO - Epoch(train) [1][1620/4451] lr: 2.6370e-02 eta: 3:51:42 time: 0.3181 data_time: 0.0111 memory: 8510 grad_norm: 0.2329 loss: 0.0933 recall@thr=0.5: 0.4853 prec@thr=0.5: 0.6176 recall@top3: 0.6618 prec@top3: 0.4118 recall@top5: 0.7647 prec@top5: 0.3059 loss_action_cls: 0.0933 2022/12/03 17:23:52 - mmengine - INFO - Epoch(train) [1][1640/4451] lr: 2.6572e-02 eta: 3:51:33 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.2247 loss: 0.0787 recall@thr=0.5: 0.4035 prec@thr=0.5: 0.4956 recall@top3: 0.5658 prec@top3: 0.3684 recall@top5: 0.6623 prec@top5: 0.2737 loss_action_cls: 0.0787 2022/12/03 17:23:59 - mmengine - INFO - Epoch(train) [1][1660/4451] lr: 2.6775e-02 eta: 3:51:24 time: 0.3182 data_time: 0.0099 memory: 8510 grad_norm: 0.2316 loss: 0.1158 recall@thr=0.5: 0.4861 prec@thr=0.5: 0.6806 recall@top3: 0.7222 prec@top3: 0.4861 recall@top5: 0.8056 prec@top5: 0.3333 loss_action_cls: 0.1158 2022/12/03 17:24:05 - mmengine - INFO - Epoch(train) [1][1680/4451] lr: 2.6977e-02 eta: 3:51:15 time: 0.3191 data_time: 0.0093 memory: 8510 grad_norm: 0.2355 loss: 0.1014 recall@thr=0.5: 0.4452 prec@thr=0.5: 0.5536 recall@top3: 0.6946 prec@top3: 0.4881 recall@top5: 0.8940 prec@top5: 0.3929 loss_action_cls: 0.1014 2022/12/03 17:24:12 - mmengine - INFO - Epoch(train) [1][1700/4451] lr: 2.7179e-02 eta: 3:51:06 time: 0.3197 data_time: 0.0098 memory: 8510 grad_norm: 0.2379 loss: 0.0813 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.5965 recall@top3: 0.6754 prec@top3: 0.5088 recall@top5: 0.8246 prec@top5: 0.3789 loss_action_cls: 0.0813 2022/12/03 17:24:18 - mmengine - INFO - Epoch(train) [1][1720/4451] lr: 2.7381e-02 eta: 3:50:57 time: 0.3194 data_time: 0.0099 memory: 8510 grad_norm: 0.2301 loss: 0.0884 recall@thr=0.5: 0.2946 prec@thr=0.5: 0.5327 recall@top3: 0.6250 prec@top3: 0.5714 recall@top5: 0.7708 prec@top5: 0.4286 loss_action_cls: 0.0884 2022/12/03 17:24:24 - mmengine - INFO - Epoch(train) [1][1740/4451] lr: 2.7583e-02 eta: 3:50:49 time: 0.3201 data_time: 0.0114 memory: 8510 grad_norm: 0.2361 loss: 0.0837 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5741 recall@top3: 0.6343 prec@top3: 0.4259 recall@top5: 0.7593 prec@top5: 0.3222 loss_action_cls: 0.0837 2022/12/03 17:24:31 - mmengine - INFO - Epoch(train) [1][1760/4451] lr: 2.7786e-02 eta: 3:50:41 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.2270 loss: 0.0842 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6228 recall@top3: 0.7807 prec@top3: 0.5789 recall@top5: 0.8465 prec@top5: 0.3895 loss_action_cls: 0.0842 2022/12/03 17:24:37 - mmengine - INFO - Epoch(train) [1][1780/4451] lr: 2.7988e-02 eta: 3:50:32 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.2468 loss: 0.0961 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.6333 recall@top3: 0.6689 prec@top3: 0.5111 recall@top5: 0.8178 prec@top5: 0.4000 loss_action_cls: 0.0961 2022/12/03 17:24:44 - mmengine - INFO - Epoch(train) [1][1800/4451] lr: 2.8190e-02 eta: 3:50:24 time: 0.3194 data_time: 0.0097 memory: 8510 grad_norm: 0.2516 loss: 0.1013 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.6290 recall@top3: 0.7022 prec@top3: 0.5797 recall@top5: 0.7978 prec@top5: 0.4261 loss_action_cls: 0.1013 2022/12/03 17:24:50 - mmengine - INFO - Epoch(train) [1][1820/4451] lr: 2.8392e-02 eta: 3:50:14 time: 0.3178 data_time: 0.0097 memory: 8510 grad_norm: 0.2843 loss: 0.0905 recall@thr=0.5: 0.5217 prec@thr=0.5: 0.7681 recall@top3: 0.7391 prec@top3: 0.5217 recall@top5: 0.8732 prec@top5: 0.3826 loss_action_cls: 0.0905 2022/12/03 17:24:56 - mmengine - INFO - Epoch(train) [1][1840/4451] lr: 2.8595e-02 eta: 3:50:06 time: 0.3202 data_time: 0.0107 memory: 8510 grad_norm: 0.2367 loss: 0.0896 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6597 recall@top3: 0.7500 prec@top3: 0.6250 recall@top5: 0.8715 prec@top5: 0.4417 loss_action_cls: 0.0896 2022/12/03 17:25:03 - mmengine - INFO - Epoch(train) [1][1860/4451] lr: 2.8797e-02 eta: 3:49:58 time: 0.3193 data_time: 0.0125 memory: 8510 grad_norm: 0.2297 loss: 0.0948 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5072 recall@top3: 0.7029 prec@top3: 0.4638 recall@top5: 0.8261 prec@top5: 0.3478 loss_action_cls: 0.0948 2022/12/03 17:25:09 - mmengine - INFO - Epoch(train) [1][1880/4451] lr: 2.8999e-02 eta: 3:49:49 time: 0.3178 data_time: 0.0109 memory: 8510 grad_norm: 0.2181 loss: 0.0919 recall@thr=0.5: 0.5528 prec@thr=0.5: 0.7778 recall@top3: 0.8065 prec@top3: 0.6296 recall@top5: 0.9750 prec@top5: 0.4889 loss_action_cls: 0.0919 2022/12/03 17:25:15 - mmengine - INFO - Epoch(train) [1][1900/4451] lr: 2.9201e-02 eta: 3:49:40 time: 0.3189 data_time: 0.0102 memory: 8510 grad_norm: 0.2373 loss: 0.1045 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.6439 recall@top3: 0.6742 prec@top3: 0.5606 recall@top5: 0.9356 prec@top5: 0.4727 loss_action_cls: 0.1045 2022/12/03 17:25:22 - mmengine - INFO - Epoch(train) [1][1920/4451] lr: 2.9403e-02 eta: 3:49:32 time: 0.3191 data_time: 0.0101 memory: 8510 grad_norm: 0.2305 loss: 0.0946 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.8407 recall@top3: 0.7400 prec@top3: 0.7333 recall@top5: 0.9067 prec@top5: 0.5440 loss_action_cls: 0.0946 2022/12/03 17:25:28 - mmengine - INFO - Epoch(train) [1][1940/4451] lr: 2.9606e-02 eta: 3:49:24 time: 0.3188 data_time: 0.0103 memory: 8510 grad_norm: 0.2149 loss: 0.0989 recall@thr=0.5: 0.4417 prec@thr=0.5: 0.6833 recall@top3: 0.7583 prec@top3: 0.6167 recall@top5: 0.8917 prec@top5: 0.4500 loss_action_cls: 0.0989 2022/12/03 17:25:35 - mmengine - INFO - Epoch(train) [1][1960/4451] lr: 2.9808e-02 eta: 3:49:15 time: 0.3195 data_time: 0.0108 memory: 8510 grad_norm: 0.2161 loss: 0.0821 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7333 recall@top3: 0.8167 prec@top3: 0.7333 recall@top5: 0.9000 prec@top5: 0.4800 loss_action_cls: 0.0821 2022/12/03 17:25:41 - mmengine - INFO - Epoch(train) [1][1980/4451] lr: 3.0010e-02 eta: 3:49:07 time: 0.3195 data_time: 0.0110 memory: 8510 grad_norm: 0.2261 loss: 0.1054 recall@thr=0.5: 0.4733 prec@thr=0.5: 0.6333 recall@top3: 0.6833 prec@top3: 0.5067 recall@top5: 0.8333 prec@top5: 0.3920 loss_action_cls: 0.1054 2022/12/03 17:25:47 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 17:25:47 - mmengine - INFO - Epoch(train) [1][2000/4451] lr: 3.0212e-02 eta: 3:49:00 time: 0.3203 data_time: 0.0094 memory: 8510 grad_norm: 0.2344 loss: 0.0793 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4792 recall@top3: 0.7812 prec@top3: 0.4792 recall@top5: 0.8958 prec@top5: 0.3625 loss_action_cls: 0.0793 2022/12/03 17:25:54 - mmengine - INFO - Epoch(train) [1][2020/4451] lr: 3.0415e-02 eta: 3:48:52 time: 0.3208 data_time: 0.0097 memory: 8510 grad_norm: 0.2368 loss: 0.0884 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8083 recall@top3: 0.7458 prec@top3: 0.5500 recall@top5: 0.8875 prec@top5: 0.4100 loss_action_cls: 0.0884 2022/12/03 17:26:00 - mmengine - INFO - Epoch(train) [1][2040/4451] lr: 3.0617e-02 eta: 3:48:44 time: 0.3193 data_time: 0.0097 memory: 8510 grad_norm: 0.2494 loss: 0.0986 recall@thr=0.5: 0.4769 prec@thr=0.5: 0.5278 recall@top3: 0.7130 prec@top3: 0.5185 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0986 2022/12/03 17:26:07 - mmengine - INFO - Epoch(train) [1][2060/4451] lr: 3.0819e-02 eta: 3:48:36 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.2201 loss: 0.0699 recall@thr=0.5: 0.4348 prec@thr=0.5: 0.4928 recall@top3: 0.6703 prec@top3: 0.5507 recall@top5: 0.9130 prec@top5: 0.4435 loss_action_cls: 0.0699 2022/12/03 17:26:13 - mmengine - INFO - Epoch(train) [1][2080/4451] lr: 3.1021e-02 eta: 3:48:29 time: 0.3197 data_time: 0.0097 memory: 8510 grad_norm: 0.2105 loss: 0.0891 recall@thr=0.5: 0.5061 prec@thr=0.5: 0.6667 recall@top3: 0.6045 prec@top3: 0.5758 recall@top5: 0.7780 prec@top5: 0.4636 loss_action_cls: 0.0891 2022/12/03 17:26:19 - mmengine - INFO - Epoch(train) [1][2100/4451] lr: 3.1223e-02 eta: 3:48:20 time: 0.3184 data_time: 0.0097 memory: 8510 grad_norm: 0.2207 loss: 0.0973 recall@thr=0.5: 0.3736 prec@thr=0.5: 0.5417 recall@top3: 0.6028 prec@top3: 0.4861 recall@top5: 0.8306 prec@top5: 0.4250 loss_action_cls: 0.0973 2022/12/03 17:26:26 - mmengine - INFO - Epoch(train) [1][2120/4451] lr: 3.1426e-02 eta: 3:48:12 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.2187 loss: 0.0866 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.6491 recall@top3: 0.8070 prec@top3: 0.6667 recall@top5: 0.8904 prec@top5: 0.4526 loss_action_cls: 0.0866 2022/12/03 17:26:32 - mmengine - INFO - Epoch(train) [1][2140/4451] lr: 3.1628e-02 eta: 3:48:04 time: 0.3181 data_time: 0.0098 memory: 8510 grad_norm: 0.2215 loss: 0.0863 recall@thr=0.5: 0.5266 prec@thr=0.5: 0.5411 recall@top3: 0.7792 prec@top3: 0.6042 recall@top5: 0.9182 prec@top5: 0.4375 loss_action_cls: 0.0863 2022/12/03 17:26:38 - mmengine - INFO - Epoch(train) [1][2160/4451] lr: 3.1830e-02 eta: 3:47:56 time: 0.3187 data_time: 0.0098 memory: 8510 grad_norm: 0.2239 loss: 0.0980 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6358 recall@top3: 0.6759 prec@top3: 0.5062 recall@top5: 0.8981 prec@top5: 0.3852 loss_action_cls: 0.0980 2022/12/03 17:26:45 - mmengine - INFO - Epoch(train) [1][2180/4451] lr: 3.2032e-02 eta: 3:47:48 time: 0.3193 data_time: 0.0108 memory: 8510 grad_norm: 0.2305 loss: 0.0863 recall@thr=0.5: 0.5432 prec@thr=0.5: 0.7778 recall@top3: 0.7963 prec@top3: 0.5185 recall@top5: 0.8642 prec@top5: 0.3556 loss_action_cls: 0.0863 2022/12/03 17:26:51 - mmengine - INFO - Epoch(train) [1][2200/4451] lr: 3.2235e-02 eta: 3:47:40 time: 0.3187 data_time: 0.0096 memory: 8510 grad_norm: 0.2178 loss: 0.0956 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7533 recall@top3: 0.7400 prec@top3: 0.5733 recall@top5: 0.8567 prec@top5: 0.4320 loss_action_cls: 0.0956 2022/12/03 17:26:58 - mmengine - INFO - Epoch(train) [1][2220/4451] lr: 3.2437e-02 eta: 3:47:32 time: 0.3187 data_time: 0.0107 memory: 8510 grad_norm: 0.2094 loss: 0.0800 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5474 recall@top3: 0.6218 prec@top3: 0.5385 recall@top5: 0.8654 prec@top5: 0.4462 loss_action_cls: 0.0800 2022/12/03 17:27:04 - mmengine - INFO - Epoch(train) [1][2240/4451] lr: 3.2639e-02 eta: 3:47:24 time: 0.3188 data_time: 0.0120 memory: 8510 grad_norm: 0.2272 loss: 0.0796 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.5333 recall@top3: 0.7333 prec@top3: 0.5778 recall@top5: 0.9222 prec@top5: 0.4533 loss_action_cls: 0.0796 2022/12/03 17:27:10 - mmengine - INFO - Epoch(train) [1][2260/4451] lr: 3.2841e-02 eta: 3:47:16 time: 0.3196 data_time: 0.0103 memory: 8510 grad_norm: 0.2424 loss: 0.1015 recall@thr=0.5: 0.3409 prec@thr=0.5: 0.3955 recall@top3: 0.5795 prec@top3: 0.5000 recall@top5: 0.8182 prec@top5: 0.4364 loss_action_cls: 0.1015 2022/12/03 17:27:17 - mmengine - INFO - Epoch(train) [1][2280/4451] lr: 3.3043e-02 eta: 3:47:08 time: 0.3190 data_time: 0.0100 memory: 8510 grad_norm: 0.2270 loss: 0.0810 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.5278 recall@top3: 0.8333 prec@top3: 0.5333 recall@top5: 0.8778 prec@top5: 0.3467 loss_action_cls: 0.0810 2022/12/03 17:27:23 - mmengine - INFO - Epoch(train) [1][2300/4451] lr: 3.3246e-02 eta: 3:47:00 time: 0.3188 data_time: 0.0109 memory: 8510 grad_norm: 0.2262 loss: 0.0831 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.7143 recall@top3: 0.7460 prec@top3: 0.5873 recall@top5: 0.9444 prec@top5: 0.4571 loss_action_cls: 0.0831 2022/12/03 17:27:30 - mmengine - INFO - Epoch(train) [1][2320/4451] lr: 3.3448e-02 eta: 3:46:53 time: 0.3194 data_time: 0.0109 memory: 8510 grad_norm: 0.2253 loss: 0.0881 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.5556 recall@top3: 0.7302 prec@top3: 0.5238 recall@top5: 0.8651 prec@top5: 0.3905 loss_action_cls: 0.0881 2022/12/03 17:27:36 - mmengine - INFO - Epoch(train) [1][2340/4451] lr: 3.3650e-02 eta: 3:46:45 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.2219 loss: 0.0861 recall@thr=0.5: 0.4395 prec@thr=0.5: 0.4383 recall@top3: 0.5352 prec@top3: 0.3704 recall@top5: 0.6457 prec@top5: 0.2889 loss_action_cls: 0.0861 2022/12/03 17:27:42 - mmengine - INFO - Epoch(train) [1][2360/4451] lr: 3.3852e-02 eta: 3:46:38 time: 0.3196 data_time: 0.0108 memory: 8510 grad_norm: 0.2099 loss: 0.0817 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.8556 recall@top3: 0.6722 prec@top3: 0.6222 recall@top5: 0.7667 prec@top5: 0.4400 loss_action_cls: 0.0817 2022/12/03 17:27:49 - mmengine - INFO - Epoch(train) [1][2380/4451] lr: 3.4055e-02 eta: 3:46:30 time: 0.3188 data_time: 0.0100 memory: 8510 grad_norm: 0.2310 loss: 0.0820 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.5625 recall@top3: 0.7708 prec@top3: 0.5625 recall@top5: 0.8854 prec@top5: 0.4000 loss_action_cls: 0.0820 2022/12/03 17:27:55 - mmengine - INFO - Epoch(train) [1][2400/4451] lr: 3.4257e-02 eta: 3:46:22 time: 0.3180 data_time: 0.0098 memory: 8510 grad_norm: 0.2373 loss: 0.0838 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.7500 recall@top3: 0.7963 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.4111 loss_action_cls: 0.0838 2022/12/03 17:28:01 - mmengine - INFO - Epoch(train) [1][2420/4451] lr: 3.4459e-02 eta: 3:46:14 time: 0.3195 data_time: 0.0098 memory: 8510 grad_norm: 0.2163 loss: 0.0868 recall@thr=0.5: 0.3621 prec@thr=0.5: 0.4828 recall@top3: 0.6034 prec@top3: 0.4598 recall@top5: 0.7931 prec@top5: 0.3655 loss_action_cls: 0.0868 2022/12/03 17:28:08 - mmengine - INFO - Epoch(train) [1][2440/4451] lr: 3.4661e-02 eta: 3:46:07 time: 0.3191 data_time: 0.0117 memory: 8510 grad_norm: 0.2218 loss: 0.0800 recall@thr=0.5: 0.4926 prec@thr=0.5: 0.8241 recall@top3: 0.6861 prec@top3: 0.5556 recall@top5: 0.8222 prec@top5: 0.4222 loss_action_cls: 0.0800 2022/12/03 17:28:14 - mmengine - INFO - Epoch(train) [1][2460/4451] lr: 3.4863e-02 eta: 3:45:59 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.2447 loss: 0.0835 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7363 recall@top3: 0.7500 prec@top3: 0.5882 recall@top5: 0.9853 prec@top5: 0.4824 loss_action_cls: 0.0835 2022/12/03 17:28:21 - mmengine - INFO - Epoch(train) [1][2480/4451] lr: 3.5066e-02 eta: 3:45:52 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.2492 loss: 0.0827 recall@thr=0.5: 0.5861 prec@thr=0.5: 0.7028 recall@top3: 0.7917 prec@top3: 0.7111 recall@top5: 0.9667 prec@top5: 0.5133 loss_action_cls: 0.0827 2022/12/03 17:28:27 - mmengine - INFO - Epoch(train) [1][2500/4451] lr: 3.5268e-02 eta: 3:45:45 time: 0.3192 data_time: 0.0097 memory: 8510 grad_norm: 0.2037 loss: 0.0930 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6905 recall@top3: 0.7202 prec@top3: 0.5714 recall@top5: 0.9405 prec@top5: 0.4643 loss_action_cls: 0.0930 2022/12/03 17:28:33 - mmengine - INFO - Epoch(train) [1][2520/4451] lr: 3.5470e-02 eta: 3:45:37 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.2113 loss: 0.0930 recall@thr=0.5: 0.2315 prec@thr=0.5: 0.3889 recall@top3: 0.5833 prec@top3: 0.4259 recall@top5: 0.8611 prec@top5: 0.3556 loss_action_cls: 0.0930 2022/12/03 17:28:40 - mmengine - INFO - Epoch(train) [1][2540/4451] lr: 3.5672e-02 eta: 3:45:30 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.2313 loss: 0.1012 recall@thr=0.5: 0.6774 prec@thr=0.5: 0.8091 recall@top3: 0.7634 prec@top3: 0.6237 recall@top5: 0.8172 prec@top5: 0.4000 loss_action_cls: 0.1012 2022/12/03 17:28:46 - mmengine - INFO - Epoch(train) [1][2560/4451] lr: 3.5875e-02 eta: 3:45:22 time: 0.3187 data_time: 0.0100 memory: 8510 grad_norm: 0.2212 loss: 0.0832 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.7833 recall@top3: 0.6611 prec@top3: 0.5333 recall@top5: 0.8500 prec@top5: 0.4133 loss_action_cls: 0.0832 2022/12/03 17:28:53 - mmengine - INFO - Epoch(train) [1][2580/4451] lr: 3.6077e-02 eta: 3:45:15 time: 0.3211 data_time: 0.0097 memory: 8510 grad_norm: 0.2002 loss: 0.0990 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7917 recall@top3: 0.7556 prec@top3: 0.6222 recall@top5: 0.9083 prec@top5: 0.4733 loss_action_cls: 0.0990 2022/12/03 17:28:59 - mmengine - INFO - Epoch(train) [1][2600/4451] lr: 3.6279e-02 eta: 3:45:08 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.2041 loss: 0.0874 recall@thr=0.5: 0.4349 prec@thr=0.5: 0.4427 recall@top3: 0.5729 prec@top3: 0.3854 recall@top5: 0.6823 prec@top5: 0.2875 loss_action_cls: 0.0874 2022/12/03 17:29:05 - mmengine - INFO - Epoch(train) [1][2620/4451] lr: 3.6481e-02 eta: 3:45:01 time: 0.3191 data_time: 0.0098 memory: 8510 grad_norm: 0.2241 loss: 0.0855 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.6591 recall@top3: 0.7273 prec@top3: 0.4848 recall@top5: 0.8182 prec@top5: 0.3364 loss_action_cls: 0.0855 2022/12/03 17:29:12 - mmengine - INFO - Epoch(train) [1][2640/4451] lr: 3.6684e-02 eta: 3:44:54 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.2376 loss: 0.0753 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.7174 recall@top3: 0.7681 prec@top3: 0.5652 recall@top5: 0.8043 prec@top5: 0.3565 loss_action_cls: 0.0753 2022/12/03 17:29:18 - mmengine - INFO - Epoch(train) [1][2660/4451] lr: 3.6886e-02 eta: 3:44:47 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.2291 loss: 0.0807 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.6373 recall@top3: 0.8627 prec@top3: 0.4902 recall@top5: 0.9412 prec@top5: 0.3412 loss_action_cls: 0.0807 2022/12/03 17:29:25 - mmengine - INFO - Epoch(train) [1][2680/4451] lr: 3.7088e-02 eta: 3:44:39 time: 0.3180 data_time: 0.0100 memory: 8510 grad_norm: 0.2109 loss: 0.0904 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.4825 recall@top3: 0.7763 prec@top3: 0.5614 recall@top5: 0.8904 prec@top5: 0.3895 loss_action_cls: 0.0904 2022/12/03 17:29:31 - mmengine - INFO - Epoch(train) [1][2700/4451] lr: 3.7290e-02 eta: 3:44:32 time: 0.3193 data_time: 0.0104 memory: 8510 grad_norm: 0.2181 loss: 0.0741 recall@thr=0.5: 0.7311 prec@thr=0.5: 0.7864 recall@top3: 0.6818 prec@top3: 0.6212 recall@top5: 0.9545 prec@top5: 0.5273 loss_action_cls: 0.0741 2022/12/03 17:29:37 - mmengine - INFO - Epoch(train) [1][2720/4451] lr: 3.7492e-02 eta: 3:44:24 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.2204 loss: 0.0909 recall@thr=0.5: 0.4586 prec@thr=0.5: 0.6111 recall@top3: 0.5352 prec@top3: 0.5556 recall@top5: 0.7222 prec@top5: 0.4370 loss_action_cls: 0.0909 2022/12/03 17:29:44 - mmengine - INFO - Epoch(train) [1][2740/4451] lr: 3.7695e-02 eta: 3:44:17 time: 0.3192 data_time: 0.0110 memory: 8510 grad_norm: 0.2078 loss: 0.0818 recall@thr=0.5: 0.5753 prec@thr=0.5: 0.6667 recall@top3: 0.7957 prec@top3: 0.5484 recall@top5: 0.9624 prec@top5: 0.4258 loss_action_cls: 0.0818 2022/12/03 17:29:50 - mmengine - INFO - Epoch(train) [1][2760/4451] lr: 3.7897e-02 eta: 3:44:10 time: 0.3189 data_time: 0.0118 memory: 8510 grad_norm: 0.2204 loss: 0.0805 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7843 recall@top3: 0.7843 prec@top3: 0.7059 recall@top5: 0.8922 prec@top5: 0.4941 loss_action_cls: 0.0805 2022/12/03 17:29:57 - mmengine - INFO - Epoch(train) [1][2780/4451] lr: 3.8099e-02 eta: 3:44:02 time: 0.3188 data_time: 0.0105 memory: 8510 grad_norm: 0.2126 loss: 0.0819 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7381 recall@top3: 0.8095 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0819 2022/12/03 17:30:03 - mmengine - INFO - Epoch(train) [1][2800/4451] lr: 3.8301e-02 eta: 3:43:55 time: 0.3194 data_time: 0.0098 memory: 8510 grad_norm: 0.2329 loss: 0.0923 recall@thr=0.5: 0.3611 prec@thr=0.5: 0.3681 recall@top3: 0.7569 prec@top3: 0.5278 recall@top5: 0.8542 prec@top5: 0.3667 loss_action_cls: 0.0923 2022/12/03 17:30:09 - mmengine - INFO - Epoch(train) [1][2820/4451] lr: 3.8504e-02 eta: 3:43:48 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.2047 loss: 0.0849 recall@thr=0.5: 0.4683 prec@thr=0.5: 0.4841 recall@top3: 0.5556 prec@top3: 0.3492 recall@top5: 0.8175 prec@top5: 0.3524 loss_action_cls: 0.0849 2022/12/03 17:30:16 - mmengine - INFO - Epoch(train) [1][2840/4451] lr: 3.8706e-02 eta: 3:43:41 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.2145 loss: 0.0833 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.5686 recall@top3: 0.5980 prec@top3: 0.5098 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0833 2022/12/03 17:30:22 - mmengine - INFO - Epoch(train) [1][2860/4451] lr: 3.8908e-02 eta: 3:43:34 time: 0.3199 data_time: 0.0098 memory: 8510 grad_norm: 0.2303 loss: 0.0893 recall@thr=0.5: 0.5198 prec@thr=0.5: 0.6349 recall@top3: 0.7619 prec@top3: 0.6190 recall@top5: 0.9444 prec@top5: 0.4762 loss_action_cls: 0.0893 2022/12/03 17:30:28 - mmengine - INFO - Epoch(train) [1][2880/4451] lr: 3.9110e-02 eta: 3:43:27 time: 0.3189 data_time: 0.0097 memory: 8510 grad_norm: 0.2400 loss: 0.0952 recall@thr=0.5: 0.3421 prec@thr=0.5: 0.3684 recall@top3: 0.7105 prec@top3: 0.4912 recall@top5: 0.8947 prec@top5: 0.3579 loss_action_cls: 0.0952 2022/12/03 17:30:35 - mmengine - INFO - Epoch(train) [1][2900/4451] lr: 3.9312e-02 eta: 3:43:19 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.2167 loss: 0.0818 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.3725 recall@top3: 0.6863 prec@top3: 0.4510 recall@top5: 0.8529 prec@top5: 0.3647 loss_action_cls: 0.0818 2022/12/03 17:30:41 - mmengine - INFO - Epoch(train) [1][2920/4451] lr: 3.9515e-02 eta: 3:43:13 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.2069 loss: 0.0804 recall@thr=0.5: 0.6049 prec@thr=0.5: 0.7901 recall@top3: 0.8580 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4519 loss_action_cls: 0.0804 2022/12/03 17:30:48 - mmengine - INFO - Epoch(train) [1][2940/4451] lr: 3.9717e-02 eta: 3:43:05 time: 0.3195 data_time: 0.0104 memory: 8510 grad_norm: 0.2166 loss: 0.0817 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.7302 recall@top3: 0.7079 prec@top3: 0.6667 recall@top5: 0.7746 prec@top5: 0.4476 loss_action_cls: 0.0817 2022/12/03 17:30:54 - mmengine - INFO - Epoch(train) [1][2960/4451] lr: 3.9919e-02 eta: 3:42:58 time: 0.3187 data_time: 0.0106 memory: 8510 grad_norm: 0.2039 loss: 0.0808 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.5972 recall@top3: 0.7167 prec@top3: 0.5778 recall@top5: 0.8778 prec@top5: 0.4400 loss_action_cls: 0.0808 2022/12/03 17:31:00 - mmengine - INFO - Epoch(train) [1][2980/4451] lr: 4.0121e-02 eta: 3:42:51 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1963 loss: 0.0989 recall@thr=0.5: 0.4411 prec@thr=0.5: 0.5778 recall@top3: 0.6167 prec@top3: 0.5667 recall@top5: 0.9017 prec@top5: 0.5067 loss_action_cls: 0.0989 2022/12/03 17:31:07 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 17:31:07 - mmengine - INFO - Epoch(train) [1][3000/4451] lr: 4.0324e-02 eta: 3:42:44 time: 0.3190 data_time: 0.0098 memory: 8510 grad_norm: 0.2047 loss: 0.0916 recall@thr=0.5: 0.5590 prec@thr=0.5: 0.5521 recall@top3: 0.6354 prec@top3: 0.4861 recall@top5: 0.9479 prec@top5: 0.4250 loss_action_cls: 0.0916 2022/12/03 17:31:13 - mmengine - INFO - Epoch(train) [1][3020/4451] lr: 4.0526e-02 eta: 3:42:36 time: 0.3182 data_time: 0.0101 memory: 8510 grad_norm: 0.2154 loss: 0.0744 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6508 recall@top3: 0.7619 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0744 2022/12/03 17:31:20 - mmengine - INFO - Epoch(train) [1][3040/4451] lr: 4.0728e-02 eta: 3:42:29 time: 0.3186 data_time: 0.0105 memory: 8510 grad_norm: 0.2191 loss: 0.1013 recall@thr=0.5: 0.3636 prec@thr=0.5: 0.3939 recall@top3: 0.4727 prec@top3: 0.3939 recall@top5: 0.7773 prec@top5: 0.3636 loss_action_cls: 0.1013 2022/12/03 17:31:26 - mmengine - INFO - Epoch(train) [1][3060/4451] lr: 4.0930e-02 eta: 3:42:22 time: 0.3190 data_time: 0.0103 memory: 8510 grad_norm: 0.2114 loss: 0.0786 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.7065 recall@top3: 0.7572 prec@top3: 0.6957 recall@top5: 0.8696 prec@top5: 0.4870 loss_action_cls: 0.0786 2022/12/03 17:31:32 - mmengine - INFO - Epoch(train) [1][3080/4451] lr: 4.1132e-02 eta: 3:42:15 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.2216 loss: 0.0962 recall@thr=0.5: 0.3893 prec@thr=0.5: 0.4345 recall@top3: 0.5821 prec@top3: 0.4881 recall@top5: 0.7536 prec@top5: 0.4071 loss_action_cls: 0.0962 2022/12/03 17:31:39 - mmengine - INFO - Epoch(train) [1][3100/4451] lr: 4.1335e-02 eta: 3:42:08 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.2386 loss: 0.0919 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6667 recall@top3: 0.7284 prec@top3: 0.6049 recall@top5: 0.8951 prec@top5: 0.4444 loss_action_cls: 0.0919 2022/12/03 17:31:45 - mmengine - INFO - Epoch(train) [1][3120/4451] lr: 4.1537e-02 eta: 3:42:01 time: 0.3196 data_time: 0.0103 memory: 8510 grad_norm: 0.2225 loss: 0.0861 recall@thr=0.5: 0.4461 prec@thr=0.5: 0.5098 recall@top3: 0.6422 prec@top3: 0.5882 recall@top5: 0.8186 prec@top5: 0.4824 loss_action_cls: 0.0861 2022/12/03 17:31:52 - mmengine - INFO - Epoch(train) [1][3140/4451] lr: 4.1739e-02 eta: 3:41:54 time: 0.3181 data_time: 0.0100 memory: 8510 grad_norm: 0.2315 loss: 0.0793 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.5714 recall@top3: 0.7381 prec@top3: 0.5079 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0793 2022/12/03 17:31:58 - mmengine - INFO - Epoch(train) [1][3160/4451] lr: 4.1941e-02 eta: 3:41:47 time: 0.3199 data_time: 0.0106 memory: 8510 grad_norm: 0.1935 loss: 0.0968 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6875 recall@top3: 0.8750 prec@top3: 0.6042 recall@top5: 0.9792 prec@top5: 0.4125 loss_action_cls: 0.0968 2022/12/03 17:32:04 - mmengine - INFO - Epoch(train) [1][3180/4451] lr: 4.2144e-02 eta: 3:41:40 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.2116 loss: 0.0950 recall@thr=0.5: 0.4933 prec@thr=0.5: 0.6067 recall@top3: 0.6933 prec@top3: 0.5600 recall@top5: 0.9533 prec@top5: 0.4880 loss_action_cls: 0.0950 2022/12/03 17:32:11 - mmengine - INFO - Epoch(train) [1][3200/4451] lr: 4.2346e-02 eta: 3:41:33 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.2109 loss: 0.0846 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.5476 recall@top3: 0.7222 prec@top3: 0.5397 recall@top5: 0.9444 prec@top5: 0.4381 loss_action_cls: 0.0846 2022/12/03 17:32:17 - mmengine - INFO - Epoch(train) [1][3220/4451] lr: 4.2548e-02 eta: 3:41:26 time: 0.3186 data_time: 0.0104 memory: 8510 grad_norm: 0.2139 loss: 0.0838 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.5702 recall@top3: 0.6272 prec@top3: 0.5439 recall@top5: 0.8640 prec@top5: 0.4842 loss_action_cls: 0.0838 2022/12/03 17:32:23 - mmengine - INFO - Epoch(train) [1][3240/4451] lr: 4.2750e-02 eta: 3:41:19 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1980 loss: 0.0924 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.7647 recall@top3: 0.6471 prec@top3: 0.5294 recall@top5: 0.9314 prec@top5: 0.4706 loss_action_cls: 0.0924 2022/12/03 17:32:30 - mmengine - INFO - Epoch(train) [1][3260/4451] lr: 4.2952e-02 eta: 3:41:11 time: 0.3190 data_time: 0.0106 memory: 8510 grad_norm: 0.2056 loss: 0.0762 recall@thr=0.5: 0.4394 prec@thr=0.5: 0.3561 recall@top3: 0.6515 prec@top3: 0.3939 recall@top5: 0.8333 prec@top5: 0.3000 loss_action_cls: 0.0762 2022/12/03 17:32:36 - mmengine - INFO - Epoch(train) [1][3280/4451] lr: 4.3155e-02 eta: 3:41:05 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.2227 loss: 0.0759 recall@thr=0.5: 0.3875 prec@thr=0.5: 0.5167 recall@top3: 0.6625 prec@top3: 0.5667 recall@top5: 0.8042 prec@top5: 0.4200 loss_action_cls: 0.0759 2022/12/03 17:32:43 - mmengine - INFO - Epoch(train) [1][3300/4451] lr: 4.3357e-02 eta: 3:40:58 time: 0.3197 data_time: 0.0102 memory: 8510 grad_norm: 0.2038 loss: 0.0639 recall@thr=0.5: 0.5382 prec@thr=0.5: 0.6562 recall@top3: 0.8222 prec@top3: 0.7083 recall@top5: 0.9035 prec@top5: 0.4833 loss_action_cls: 0.0639 2022/12/03 17:32:49 - mmengine - INFO - Epoch(train) [1][3320/4451] lr: 4.3559e-02 eta: 3:40:51 time: 0.3219 data_time: 0.0098 memory: 8510 grad_norm: 0.2028 loss: 0.0800 recall@thr=0.5: 0.4867 prec@thr=0.5: 0.5889 recall@top3: 0.6978 prec@top3: 0.5556 recall@top5: 0.8400 prec@top5: 0.4400 loss_action_cls: 0.0800 2022/12/03 17:32:55 - mmengine - INFO - Epoch(train) [1][3340/4451] lr: 4.3761e-02 eta: 3:40:44 time: 0.3189 data_time: 0.0097 memory: 8510 grad_norm: 0.2077 loss: 0.0882 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.5917 recall@top3: 0.6625 prec@top3: 0.5500 recall@top5: 0.7917 prec@top5: 0.4100 loss_action_cls: 0.0882 2022/12/03 17:33:02 - mmengine - INFO - Epoch(train) [1][3360/4451] lr: 4.3964e-02 eta: 3:40:37 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.2088 loss: 0.0818 recall@thr=0.5: 0.7218 prec@thr=0.5: 0.8362 recall@top3: 0.8057 prec@top3: 0.6897 recall@top5: 0.9828 prec@top5: 0.5310 loss_action_cls: 0.0818 2022/12/03 17:33:08 - mmengine - INFO - Epoch(train) [1][3380/4451] lr: 4.4166e-02 eta: 3:40:30 time: 0.3197 data_time: 0.0099 memory: 8510 grad_norm: 0.2029 loss: 0.0810 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.4773 recall@top3: 0.7576 prec@top3: 0.4394 recall@top5: 0.8485 prec@top5: 0.3182 loss_action_cls: 0.0810 2022/12/03 17:33:15 - mmengine - INFO - Epoch(train) [1][3400/4451] lr: 4.4368e-02 eta: 3:40:23 time: 0.3189 data_time: 0.0101 memory: 8510 grad_norm: 0.1958 loss: 0.0738 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5463 recall@top3: 0.8333 prec@top3: 0.5370 recall@top5: 0.9259 prec@top5: 0.3778 loss_action_cls: 0.0738 2022/12/03 17:33:21 - mmengine - INFO - Epoch(train) [1][3420/4451] lr: 4.4570e-02 eta: 3:40:16 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.2117 loss: 0.0893 recall@thr=0.5: 0.4348 prec@thr=0.5: 0.4783 recall@top3: 0.6377 prec@top3: 0.4203 recall@top5: 0.7246 prec@top5: 0.2957 loss_action_cls: 0.0893 2022/12/03 17:33:27 - mmengine - INFO - Epoch(train) [1][3440/4451] lr: 4.4772e-02 eta: 3:40:09 time: 0.3194 data_time: 0.0105 memory: 8510 grad_norm: 0.2143 loss: 0.0930 recall@thr=0.5: 0.4356 prec@thr=0.5: 0.6364 recall@top3: 0.7197 prec@top3: 0.5758 recall@top5: 0.8636 prec@top5: 0.4182 loss_action_cls: 0.0930 2022/12/03 17:33:34 - mmengine - INFO - Epoch(train) [1][3460/4451] lr: 4.4975e-02 eta: 3:40:03 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.2163 loss: 0.0944 recall@thr=0.5: 0.3654 prec@thr=0.5: 0.3846 recall@top3: 0.5877 prec@top3: 0.4815 recall@top5: 0.7444 prec@top5: 0.3926 loss_action_cls: 0.0944 2022/12/03 17:33:40 - mmengine - INFO - Epoch(train) [1][3480/4451] lr: 4.5177e-02 eta: 3:39:56 time: 0.3197 data_time: 0.0101 memory: 8510 grad_norm: 0.2067 loss: 0.0860 recall@thr=0.5: 0.3188 prec@thr=0.5: 0.4855 recall@top3: 0.5362 prec@top3: 0.5072 recall@top5: 0.7681 prec@top5: 0.4348 loss_action_cls: 0.0860 2022/12/03 17:33:47 - mmengine - INFO - Epoch(train) [1][3500/4451] lr: 4.5379e-02 eta: 3:39:49 time: 0.3193 data_time: 0.0100 memory: 8510 grad_norm: 0.2029 loss: 0.0888 recall@thr=0.5: 0.5536 prec@thr=0.5: 0.6304 recall@top3: 0.8159 prec@top3: 0.6522 recall@top5: 0.8645 prec@top5: 0.4261 loss_action_cls: 0.0888 2022/12/03 17:33:53 - mmengine - INFO - Epoch(train) [1][3520/4451] lr: 4.5581e-02 eta: 3:39:42 time: 0.3214 data_time: 0.0117 memory: 8510 grad_norm: 0.1938 loss: 0.0785 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5278 recall@top3: 0.7361 prec@top3: 0.4444 recall@top5: 0.8472 prec@top5: 0.3167 loss_action_cls: 0.0785 2022/12/03 17:33:59 - mmengine - INFO - Epoch(train) [1][3540/4451] lr: 4.5784e-02 eta: 3:39:35 time: 0.3198 data_time: 0.0103 memory: 8510 grad_norm: 0.2149 loss: 0.0763 recall@thr=0.5: 0.4211 prec@thr=0.5: 0.3158 recall@top3: 0.8158 prec@top3: 0.3509 recall@top5: 0.8684 prec@top5: 0.2316 loss_action_cls: 0.0763 2022/12/03 17:34:06 - mmengine - INFO - Epoch(train) [1][3560/4451] lr: 4.5986e-02 eta: 3:39:29 time: 0.3200 data_time: 0.0108 memory: 8510 grad_norm: 0.2088 loss: 0.0767 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7255 recall@top3: 0.8039 prec@top3: 0.6078 recall@top5: 0.9608 prec@top5: 0.4588 loss_action_cls: 0.0767 2022/12/03 17:34:12 - mmengine - INFO - Epoch(train) [1][3580/4451] lr: 4.6188e-02 eta: 3:39:22 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.2047 loss: 0.0856 recall@thr=0.5: 0.3627 prec@thr=0.5: 0.5000 recall@top3: 0.7010 prec@top3: 0.4510 recall@top5: 0.8873 prec@top5: 0.3647 loss_action_cls: 0.0856 2022/12/03 17:34:19 - mmengine - INFO - Epoch(train) [1][3600/4451] lr: 4.6390e-02 eta: 3:39:15 time: 0.3193 data_time: 0.0103 memory: 8510 grad_norm: 0.1963 loss: 0.0724 recall@thr=0.5: 0.4615 prec@thr=0.5: 0.5641 recall@top3: 0.6795 prec@top3: 0.5897 recall@top5: 0.7692 prec@top5: 0.4000 loss_action_cls: 0.0724 2022/12/03 17:34:25 - mmengine - INFO - Epoch(train) [1][3620/4451] lr: 4.6593e-02 eta: 3:39:08 time: 0.3192 data_time: 0.0099 memory: 8510 grad_norm: 0.2026 loss: 0.0933 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.4921 recall@top3: 0.7302 prec@top3: 0.4762 recall@top5: 0.7619 prec@top5: 0.3048 loss_action_cls: 0.0933 2022/12/03 17:34:31 - mmengine - INFO - Epoch(train) [1][3640/4451] lr: 4.6795e-02 eta: 3:39:01 time: 0.3200 data_time: 0.0106 memory: 8510 grad_norm: 0.2128 loss: 0.0925 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6111 recall@top3: 0.7593 prec@top3: 0.5000 recall@top5: 0.8426 prec@top5: 0.3556 loss_action_cls: 0.0925 2022/12/03 17:34:38 - mmengine - INFO - Epoch(train) [1][3660/4451] lr: 4.6997e-02 eta: 3:38:54 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1979 loss: 0.0765 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6078 recall@top3: 0.6814 prec@top3: 0.3922 recall@top5: 0.8186 prec@top5: 0.2941 loss_action_cls: 0.0765 2022/12/03 17:34:44 - mmengine - INFO - Epoch(train) [1][3680/4451] lr: 4.7199e-02 eta: 3:38:48 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.2154 loss: 0.0861 recall@thr=0.5: 0.4881 prec@thr=0.5: 0.4881 recall@top3: 0.7827 prec@top3: 0.5714 recall@top5: 0.9018 prec@top5: 0.4000 loss_action_cls: 0.0861 2022/12/03 17:34:51 - mmengine - INFO - Epoch(train) [1][3700/4451] lr: 4.7401e-02 eta: 3:38:41 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.2135 loss: 0.0789 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.4750 recall@top3: 0.7417 prec@top3: 0.4500 recall@top5: 0.9583 prec@top5: 0.3800 loss_action_cls: 0.0789 2022/12/03 17:34:57 - mmengine - INFO - Epoch(train) [1][3720/4451] lr: 4.7604e-02 eta: 3:38:34 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.2066 loss: 0.0804 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7103 recall@top3: 0.7143 prec@top3: 0.5873 recall@top5: 0.9048 prec@top5: 0.4381 loss_action_cls: 0.0804 2022/12/03 17:35:03 - mmengine - INFO - Epoch(train) [1][3740/4451] lr: 4.7806e-02 eta: 3:38:27 time: 0.3189 data_time: 0.0108 memory: 8510 grad_norm: 0.2003 loss: 0.0817 recall@thr=0.5: 0.5880 prec@thr=0.5: 0.6667 recall@top3: 0.8380 prec@top3: 0.5926 recall@top5: 0.9259 prec@top5: 0.3889 loss_action_cls: 0.0817 2022/12/03 17:35:10 - mmengine - INFO - Epoch(train) [1][3760/4451] lr: 4.8008e-02 eta: 3:38:20 time: 0.3187 data_time: 0.0101 memory: 8510 grad_norm: 0.2187 loss: 0.0875 recall@thr=0.5: 0.2986 prec@thr=0.5: 0.3472 recall@top3: 0.4965 prec@top3: 0.3750 recall@top5: 0.7604 prec@top5: 0.3417 loss_action_cls: 0.0875 2022/12/03 17:35:16 - mmengine - INFO - Epoch(train) [1][3780/4451] lr: 4.8210e-02 eta: 3:38:14 time: 0.3219 data_time: 0.0104 memory: 8510 grad_norm: 0.2114 loss: 0.0674 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.4365 recall@top3: 0.6905 prec@top3: 0.5397 recall@top5: 0.8730 prec@top5: 0.4286 loss_action_cls: 0.0674 2022/12/03 17:35:23 - mmengine - INFO - Epoch(train) [1][3800/4451] lr: 4.8413e-02 eta: 3:38:07 time: 0.3185 data_time: 0.0107 memory: 8510 grad_norm: 0.2021 loss: 0.0760 recall@thr=0.5: 0.3719 prec@thr=0.5: 0.4211 recall@top3: 0.6088 prec@top3: 0.4737 recall@top5: 0.8421 prec@top5: 0.4000 loss_action_cls: 0.0760 2022/12/03 17:35:29 - mmengine - INFO - Epoch(train) [1][3820/4451] lr: 4.8615e-02 eta: 3:38:00 time: 0.3193 data_time: 0.0114 memory: 8510 grad_norm: 0.2111 loss: 0.0857 recall@thr=0.5: 0.4382 prec@thr=0.5: 0.6237 recall@top3: 0.7634 prec@top3: 0.5806 recall@top5: 0.8978 prec@top5: 0.4258 loss_action_cls: 0.0857 2022/12/03 17:35:35 - mmengine - INFO - Epoch(train) [1][3840/4451] lr: 4.8817e-02 eta: 3:37:53 time: 0.3199 data_time: 0.0096 memory: 8510 grad_norm: 0.2076 loss: 0.0901 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.5263 recall@top3: 0.7807 prec@top3: 0.4912 recall@top5: 0.8860 prec@top5: 0.3368 loss_action_cls: 0.0901 2022/12/03 17:35:42 - mmengine - INFO - Epoch(train) [1][3860/4451] lr: 4.9019e-02 eta: 3:37:46 time: 0.3184 data_time: 0.0103 memory: 8510 grad_norm: 0.2004 loss: 0.0723 recall@thr=0.5: 0.4206 prec@thr=0.5: 0.4484 recall@top3: 0.7222 prec@top3: 0.6349 recall@top5: 0.9167 prec@top5: 0.4857 loss_action_cls: 0.0723 2022/12/03 17:35:48 - mmengine - INFO - Epoch(train) [1][3880/4451] lr: 4.9221e-02 eta: 3:37:39 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.2025 loss: 0.0799 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6667 recall@top3: 0.7167 prec@top3: 0.5667 recall@top5: 0.9125 prec@top5: 0.4300 loss_action_cls: 0.0799 2022/12/03 17:35:55 - mmengine - INFO - Epoch(train) [1][3900/4451] lr: 4.9424e-02 eta: 3:37:33 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.1909 loss: 0.0730 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.7444 recall@top3: 0.7667 prec@top3: 0.5333 recall@top5: 0.8444 prec@top5: 0.3600 loss_action_cls: 0.0730 2022/12/03 17:36:01 - mmengine - INFO - Epoch(train) [1][3920/4451] lr: 4.9626e-02 eta: 3:37:26 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.2134 loss: 0.0842 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.5741 recall@top3: 0.7778 prec@top3: 0.5370 recall@top5: 0.9259 prec@top5: 0.4000 loss_action_cls: 0.0842 2022/12/03 17:36:07 - mmengine - INFO - Epoch(train) [1][3940/4451] lr: 4.9828e-02 eta: 3:37:19 time: 0.3191 data_time: 0.0104 memory: 8510 grad_norm: 0.2275 loss: 0.0720 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.7660 recall@top3: 0.7212 prec@top3: 0.6282 recall@top5: 0.9359 prec@top5: 0.4923 loss_action_cls: 0.0720 2022/12/03 17:36:14 - mmengine - INFO - Epoch(train) [1][3960/4451] lr: 5.0030e-02 eta: 3:37:12 time: 0.3200 data_time: 0.0109 memory: 8510 grad_norm: 0.2181 loss: 0.0852 recall@thr=0.5: 0.5063 prec@thr=0.5: 0.7604 recall@top3: 0.7042 prec@top3: 0.5625 recall@top5: 0.8729 prec@top5: 0.4250 loss_action_cls: 0.0852 2022/12/03 17:36:20 - mmengine - INFO - Epoch(train) [1][3980/4451] lr: 5.0233e-02 eta: 3:37:05 time: 0.3185 data_time: 0.0100 memory: 8510 grad_norm: 0.1965 loss: 0.0822 recall@thr=0.5: 0.3600 prec@thr=0.5: 0.4000 recall@top3: 0.6533 prec@top3: 0.4800 recall@top5: 0.8667 prec@top5: 0.3520 loss_action_cls: 0.0822 2022/12/03 17:36:27 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 17:36:27 - mmengine - INFO - Epoch(train) [1][4000/4451] lr: 5.0435e-02 eta: 3:36:59 time: 0.3203 data_time: 0.0108 memory: 8510 grad_norm: 0.1894 loss: 0.0739 recall@thr=0.5: 0.5180 prec@thr=0.5: 0.5721 recall@top3: 0.7973 prec@top3: 0.5225 recall@top5: 0.8964 prec@top5: 0.3568 loss_action_cls: 0.0739 2022/12/03 17:36:33 - mmengine - INFO - Epoch(train) [1][4020/4451] lr: 5.0637e-02 eta: 3:36:52 time: 0.3189 data_time: 0.0102 memory: 8510 grad_norm: 0.2084 loss: 0.0799 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6327 recall@top3: 0.6889 prec@top3: 0.6296 recall@top5: 0.8580 prec@top5: 0.4889 loss_action_cls: 0.0799 2022/12/03 17:36:39 - mmengine - INFO - Epoch(train) [1][4040/4451] lr: 5.0839e-02 eta: 3:36:45 time: 0.3195 data_time: 0.0098 memory: 8510 grad_norm: 0.2032 loss: 0.0675 recall@thr=0.5: 0.5958 prec@thr=0.5: 0.8472 recall@top3: 0.7167 prec@top3: 0.8056 recall@top5: 0.9486 prec@top5: 0.6583 loss_action_cls: 0.0675 2022/12/03 17:36:46 - mmengine - INFO - Epoch(train) [1][4060/4451] lr: 5.1041e-02 eta: 3:36:38 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.2055 loss: 0.0913 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.7333 recall@top3: 0.8222 prec@top3: 0.6444 recall@top5: 0.8667 prec@top5: 0.4133 loss_action_cls: 0.0913 2022/12/03 17:36:52 - mmengine - INFO - Epoch(train) [1][4080/4451] lr: 5.1244e-02 eta: 3:36:32 time: 0.3197 data_time: 0.0102 memory: 8510 grad_norm: 0.1983 loss: 0.0740 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6833 recall@top3: 0.8167 prec@top3: 0.6667 recall@top5: 0.8833 prec@top5: 0.4400 loss_action_cls: 0.0740 2022/12/03 17:36:58 - mmengine - INFO - Epoch(train) [1][4100/4451] lr: 5.1446e-02 eta: 3:36:25 time: 0.3180 data_time: 0.0108 memory: 8510 grad_norm: 0.1918 loss: 0.0698 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.5882 recall@top3: 0.7549 prec@top3: 0.6471 recall@top5: 0.7843 prec@top5: 0.4000 loss_action_cls: 0.0698 2022/12/03 17:37:05 - mmengine - INFO - Epoch(train) [1][4120/4451] lr: 5.1648e-02 eta: 3:36:18 time: 0.3193 data_time: 0.0118 memory: 8510 grad_norm: 0.2030 loss: 0.0990 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.7692 recall@top3: 0.6731 prec@top3: 0.6154 recall@top5: 0.8333 prec@top5: 0.4615 loss_action_cls: 0.0990 2022/12/03 17:37:11 - mmengine - INFO - Epoch(train) [1][4140/4451] lr: 5.1850e-02 eta: 3:36:11 time: 0.3200 data_time: 0.0094 memory: 8510 grad_norm: 0.2146 loss: 0.0901 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7315 recall@top3: 0.5741 prec@top3: 0.4630 recall@top5: 0.7778 prec@top5: 0.4111 loss_action_cls: 0.0901 2022/12/03 17:37:18 - mmengine - INFO - Epoch(train) [1][4160/4451] lr: 5.2053e-02 eta: 3:36:04 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.2153 loss: 0.0691 recall@thr=0.5: 0.4845 prec@thr=0.5: 0.7500 recall@top3: 0.7667 prec@top3: 0.7976 recall@top5: 0.9577 prec@top5: 0.6286 loss_action_cls: 0.0691 2022/12/03 17:37:24 - mmengine - INFO - Epoch(train) [1][4180/4451] lr: 5.2255e-02 eta: 3:35:58 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.2229 loss: 0.0707 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.3958 recall@top3: 0.5625 prec@top3: 0.3611 recall@top5: 0.7500 prec@top5: 0.2750 loss_action_cls: 0.0707 2022/12/03 17:37:30 - mmengine - INFO - Epoch(train) [1][4200/4451] lr: 5.2457e-02 eta: 3:35:51 time: 0.3194 data_time: 0.0104 memory: 8510 grad_norm: 0.2202 loss: 0.0791 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5278 recall@top3: 0.7535 prec@top3: 0.5833 recall@top5: 0.9236 prec@top5: 0.4250 loss_action_cls: 0.0791 2022/12/03 17:37:37 - mmengine - INFO - Epoch(train) [1][4220/4451] lr: 5.2659e-02 eta: 3:35:44 time: 0.3186 data_time: 0.0110 memory: 8510 grad_norm: 0.2007 loss: 0.0796 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7500 recall@top3: 0.7407 prec@top3: 0.5926 recall@top5: 0.8519 prec@top5: 0.4111 loss_action_cls: 0.0796 2022/12/03 17:37:43 - mmengine - INFO - Epoch(train) [1][4240/4451] lr: 5.2861e-02 eta: 3:35:37 time: 0.3202 data_time: 0.0097 memory: 8510 grad_norm: 0.2096 loss: 0.0702 recall@thr=0.5: 0.5062 prec@thr=0.5: 0.5556 recall@top3: 0.7593 prec@top3: 0.5432 recall@top5: 0.9630 prec@top5: 0.4148 loss_action_cls: 0.0702 2022/12/03 17:37:50 - mmengine - INFO - Epoch(train) [1][4260/4451] lr: 5.3064e-02 eta: 3:35:31 time: 0.3213 data_time: 0.0099 memory: 8510 grad_norm: 0.2006 loss: 0.0756 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6250 recall@top3: 0.7917 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.3875 loss_action_cls: 0.0756 2022/12/03 17:37:56 - mmengine - INFO - Epoch(train) [1][4280/4451] lr: 5.3266e-02 eta: 3:35:24 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.1899 loss: 0.0841 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8596 recall@top3: 0.7947 prec@top3: 0.7368 recall@top5: 0.9763 prec@top5: 0.5474 loss_action_cls: 0.0841 2022/12/03 17:38:02 - mmengine - INFO - Epoch(train) [1][4300/4451] lr: 5.3468e-02 eta: 3:35:17 time: 0.3201 data_time: 0.0097 memory: 8510 grad_norm: 0.2239 loss: 0.0784 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8860 recall@top3: 0.9649 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4105 loss_action_cls: 0.0784 2022/12/03 17:38:09 - mmengine - INFO - Epoch(train) [1][4320/4451] lr: 5.3670e-02 eta: 3:35:11 time: 0.3192 data_time: 0.0110 memory: 8510 grad_norm: 0.2115 loss: 0.0753 recall@thr=0.5: 0.5083 prec@thr=0.5: 0.7083 recall@top3: 0.7583 prec@top3: 0.6500 recall@top5: 0.9250 prec@top5: 0.4900 loss_action_cls: 0.0753 2022/12/03 17:38:15 - mmengine - INFO - Epoch(train) [1][4340/4451] lr: 5.3873e-02 eta: 3:35:04 time: 0.3188 data_time: 0.0100 memory: 8510 grad_norm: 0.1928 loss: 0.0808 recall@thr=0.5: 0.4659 prec@thr=0.5: 0.7121 recall@top3: 0.7765 prec@top3: 0.6515 recall@top5: 0.9129 prec@top5: 0.4727 loss_action_cls: 0.0808 2022/12/03 17:38:22 - mmengine - INFO - Epoch(train) [1][4360/4451] lr: 5.4075e-02 eta: 3:34:57 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1913 loss: 0.0755 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5882 recall@top3: 0.6814 prec@top3: 0.4706 recall@top5: 0.7941 prec@top5: 0.3412 loss_action_cls: 0.0755 2022/12/03 17:38:28 - mmengine - INFO - Epoch(train) [1][4380/4451] lr: 5.4277e-02 eta: 3:34:50 time: 0.3198 data_time: 0.0098 memory: 8510 grad_norm: 0.2159 loss: 0.0860 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7018 recall@top3: 0.7193 prec@top3: 0.6316 recall@top5: 0.8070 prec@top5: 0.4316 loss_action_cls: 0.0860 2022/12/03 17:38:34 - mmengine - INFO - Epoch(train) [1][4400/4451] lr: 5.4479e-02 eta: 3:34:44 time: 0.3200 data_time: 0.0100 memory: 8510 grad_norm: 0.1932 loss: 0.0774 recall@thr=0.5: 0.6715 prec@thr=0.5: 0.7396 recall@top3: 0.7271 prec@top3: 0.5000 recall@top5: 0.8861 prec@top5: 0.3917 loss_action_cls: 0.0774 2022/12/03 17:38:41 - mmengine - INFO - Epoch(train) [1][4420/4451] lr: 5.4681e-02 eta: 3:34:37 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1988 loss: 0.0856 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6000 recall@top3: 0.7333 prec@top3: 0.4444 recall@top5: 0.8222 prec@top5: 0.3067 loss_action_cls: 0.0856 2022/12/03 17:38:47 - mmengine - INFO - Epoch(train) [1][4440/4451] lr: 5.4884e-02 eta: 3:34:31 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.1899 loss: 0.0895 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7685 recall@top3: 0.9074 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0895 2022/12/03 17:38:51 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 17:38:51 - mmengine - INFO - Epoch(train) [1][4451/4451] lr: 5.4995e-02 eta: 3:34:26 time: 0.3141 data_time: 0.0094 memory: 8510 grad_norm: 0.1973 loss: 0.0758 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.8485 recall@top3: 0.8182 prec@top3: 0.5455 recall@top5: 0.9697 prec@top5: 0.4000 loss_action_cls: 0.0758 2022/12/03 17:38:51 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/12/03 17:38:56 - mmengine - INFO - Epoch(val) [1][ 20/6282] eta: 0:14:08 time: 0.1355 data_time: 0.0999 memory: 661 2022/12/03 17:38:57 - mmengine - INFO - Epoch(val) [1][ 40/6282] eta: 0:08:59 time: 0.0372 data_time: 0.0051 memory: 661 2022/12/03 17:38:58 - mmengine - INFO - Epoch(val) [1][ 60/6282] eta: 0:07:30 time: 0.0444 data_time: 0.0076 memory: 661 2022/12/03 17:38:59 - mmengine - INFO - Epoch(val) [1][ 80/6282] eta: 0:06:37 time: 0.0395 data_time: 0.0049 memory: 661 2022/12/03 17:39:00 - mmengine - INFO - Epoch(val) [1][ 100/6282] eta: 0:06:08 time: 0.0417 data_time: 0.0042 memory: 661 2022/12/03 17:39:01 - mmengine - INFO - Epoch(val) [1][ 120/6282] eta: 0:05:55 time: 0.0482 data_time: 0.0072 memory: 732 2022/12/03 17:39:02 - mmengine - INFO - Epoch(val) [1][ 140/6282] eta: 0:05:43 time: 0.0444 data_time: 0.0039 memory: 732 2022/12/03 17:39:02 - mmengine - INFO - Epoch(val) [1][ 160/6282] eta: 0:05:33 time: 0.0453 data_time: 0.0041 memory: 732 2022/12/03 17:39:03 - mmengine - INFO - Epoch(val) [1][ 180/6282] eta: 0:05:25 time: 0.0439 data_time: 0.0042 memory: 732 2022/12/03 17:39:04 - mmengine - INFO - Epoch(val) [1][ 200/6282] eta: 0:05:18 time: 0.0435 data_time: 0.0041 memory: 732 2022/12/03 17:39:05 - mmengine - INFO - Epoch(val) [1][ 220/6282] eta: 0:05:11 time: 0.0413 data_time: 0.0048 memory: 674 2022/12/03 17:39:06 - mmengine - INFO - Epoch(val) [1][ 240/6282] eta: 0:05:05 time: 0.0418 data_time: 0.0053 memory: 674 2022/12/03 17:39:07 - mmengine - INFO - Epoch(val) [1][ 260/6282] eta: 0:05:01 time: 0.0433 data_time: 0.0037 memory: 674 2022/12/03 17:39:08 - mmengine - INFO - Epoch(val) [1][ 280/6282] eta: 0:04:57 time: 0.0429 data_time: 0.0055 memory: 674 2022/12/03 17:39:09 - mmengine - INFO - Epoch(val) [1][ 300/6282] eta: 0:04:56 time: 0.0494 data_time: 0.0062 memory: 732 2022/12/03 17:39:10 - mmengine - INFO - Epoch(val) [1][ 320/6282] eta: 0:04:55 time: 0.0518 data_time: 0.0047 memory: 732 2022/12/03 17:39:11 - mmengine - INFO - Epoch(val) [1][ 340/6282] eta: 0:04:56 time: 0.0537 data_time: 0.0078 memory: 732 2022/12/03 17:39:12 - mmengine - INFO - 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time: 0.0459 data_time: 0.0052 memory: 670 2022/12/03 17:39:27 - mmengine - INFO - Epoch(val) [1][ 700/6282] eta: 0:04:22 time: 0.0455 data_time: 0.0050 memory: 670 2022/12/03 17:39:28 - mmengine - INFO - Epoch(val) [1][ 720/6282] eta: 0:04:22 time: 0.0574 data_time: 0.0074 memory: 732 2022/12/03 17:39:29 - mmengine - INFO - Epoch(val) [1][ 740/6282] eta: 0:04:23 time: 0.0613 data_time: 0.0088 memory: 732 2022/12/03 17:39:30 - mmengine - INFO - Epoch(val) [1][ 760/6282] eta: 0:04:24 time: 0.0617 data_time: 0.0143 memory: 732 2022/12/03 17:39:32 - mmengine - INFO - Epoch(val) [1][ 780/6282] eta: 0:04:26 time: 0.0669 data_time: 0.0095 memory: 732 2022/12/03 17:39:33 - mmengine - INFO - Epoch(val) [1][ 800/6282] eta: 0:04:26 time: 0.0571 data_time: 0.0085 memory: 732 2022/12/03 17:39:34 - mmengine - INFO - Epoch(val) [1][ 820/6282] eta: 0:04:26 time: 0.0502 data_time: 0.0042 memory: 732 2022/12/03 17:39:35 - mmengine - INFO - Epoch(val) [1][ 840/6282] eta: 0:04:24 time: 0.0416 data_time: 0.0041 memory: 674 2022/12/03 17:39:35 - mmengine - INFO - Epoch(val) [1][ 860/6282] eta: 0:04:22 time: 0.0417 data_time: 0.0043 memory: 674 2022/12/03 17:39:36 - mmengine - INFO - Epoch(val) [1][ 880/6282] eta: 0:04:20 time: 0.0411 data_time: 0.0039 memory: 674 2022/12/03 17:39:37 - mmengine - INFO - Epoch(val) [1][ 900/6282] eta: 0:04:18 time: 0.0429 data_time: 0.0047 memory: 674 2022/12/03 17:39:38 - mmengine - INFO - Epoch(val) [1][ 920/6282] eta: 0:04:17 time: 0.0403 data_time: 0.0030 memory: 674 2022/12/03 17:39:39 - mmengine - INFO - Epoch(val) [1][ 940/6282] eta: 0:04:15 time: 0.0420 data_time: 0.0046 memory: 661 2022/12/03 17:39:40 - mmengine - INFO - Epoch(val) [1][ 960/6282] eta: 0:04:13 time: 0.0432 data_time: 0.0047 memory: 661 2022/12/03 17:39:40 - mmengine - INFO - Epoch(val) [1][ 980/6282] eta: 0:04:12 time: 0.0441 data_time: 0.0054 memory: 661 2022/12/03 17:39:41 - mmengine - INFO - Epoch(val) [1][1000/6282] eta: 0:04:11 time: 0.0414 data_time: 0.0050 memory: 661 2022/12/03 17:39:42 - mmengine - INFO - Epoch(val) [1][1020/6282] eta: 0:04:09 time: 0.0411 data_time: 0.0061 memory: 674 2022/12/03 17:39:43 - mmengine - INFO - Epoch(val) [1][1040/6282] eta: 0:04:08 time: 0.0449 data_time: 0.0038 memory: 674 2022/12/03 17:39:44 - mmengine - INFO - Epoch(val) [1][1060/6282] eta: 0:04:06 time: 0.0426 data_time: 0.0052 memory: 674 2022/12/03 17:39:45 - mmengine - INFO - Epoch(val) [1][1080/6282] eta: 0:04:05 time: 0.0426 data_time: 0.0053 memory: 674 2022/12/03 17:39:46 - mmengine - INFO - Epoch(val) [1][1100/6282] eta: 0:04:04 time: 0.0435 data_time: 0.0045 memory: 674 2022/12/03 17:39:46 - mmengine - INFO - Epoch(val) [1][1120/6282] eta: 0:04:02 time: 0.0419 data_time: 0.0063 memory: 674 2022/12/03 17:39:47 - mmengine - INFO - Epoch(val) [1][1140/6282] eta: 0:04:01 time: 0.0421 data_time: 0.0040 memory: 674 2022/12/03 17:39:48 - mmengine - INFO - Epoch(val) [1][1160/6282] eta: 0:03:59 time: 0.0410 data_time: 0.0049 memory: 674 2022/12/03 17:39:49 - mmengine - INFO - Epoch(val) [1][1180/6282] eta: 0:03:59 time: 0.0485 data_time: 0.0049 memory: 674 2022/12/03 17:39:50 - mmengine - INFO - Epoch(val) [1][1200/6282] eta: 0:03:58 time: 0.0484 data_time: 0.0090 memory: 674 2022/12/03 17:39:51 - mmengine - INFO - Epoch(val) [1][1220/6282] eta: 0:03:57 time: 0.0501 data_time: 0.0069 memory: 674 2022/12/03 17:39:52 - mmengine - INFO - Epoch(val) [1][1240/6282] eta: 0:03:57 time: 0.0604 data_time: 0.0086 memory: 732 2022/12/03 17:39:54 - mmengine - INFO - Epoch(val) [1][1260/6282] eta: 0:03:58 time: 0.0650 data_time: 0.0102 memory: 732 2022/12/03 17:39:55 - mmengine - INFO - Epoch(val) [1][1280/6282] eta: 0:03:58 time: 0.0636 data_time: 0.0123 memory: 732 2022/12/03 17:39:56 - mmengine - INFO - Epoch(val) [1][1300/6282] eta: 0:03:58 time: 0.0644 data_time: 0.0090 memory: 732 2022/12/03 17:39:57 - mmengine - INFO - Epoch(val) [1][1320/6282] eta: 0:03:58 time: 0.0597 data_time: 0.0098 memory: 732 2022/12/03 17:39:59 - mmengine - INFO - Epoch(val) [1][1340/6282] eta: 0:03:58 time: 0.0611 data_time: 0.0113 memory: 732 2022/12/03 17:40:00 - mmengine - INFO - Epoch(val) [1][1360/6282] eta: 0:03:58 time: 0.0634 data_time: 0.0090 memory: 732 2022/12/03 17:40:01 - mmengine - INFO - Epoch(val) [1][1380/6282] eta: 0:03:58 time: 0.0577 data_time: 0.0072 memory: 732 2022/12/03 17:40:02 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:03:58 time: 0.0650 data_time: 0.0209 memory: 732 2022/12/03 17:40:03 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:03:58 time: 0.0555 data_time: 0.0056 memory: 732 2022/12/03 17:40:04 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:03:57 time: 0.0473 data_time: 0.0049 memory: 732 2022/12/03 17:40:05 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:03:55 time: 0.0454 data_time: 0.0035 memory: 732 2022/12/03 17:40:06 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:03:54 time: 0.0433 data_time: 0.0038 memory: 732 2022/12/03 17:40:07 - mmengine - INFO - Epoch(val) [1][1500/6282] eta: 0:03:53 time: 0.0453 data_time: 0.0050 memory: 732 2022/12/03 17:40:08 - mmengine - INFO - Epoch(val) [1][1520/6282] eta: 0:03:52 time: 0.0437 data_time: 0.0047 memory: 819 2022/12/03 17:40:09 - mmengine - INFO - Epoch(val) [1][1540/6282] eta: 0:03:51 time: 0.0495 data_time: 0.0039 memory: 819 2022/12/03 17:40:10 - mmengine - INFO - Epoch(val) [1][1560/6282] eta: 0:03:50 time: 0.0491 data_time: 0.0038 memory: 819 2022/12/03 17:40:11 - mmengine - INFO - Epoch(val) [1][1580/6282] eta: 0:03:49 time: 0.0501 data_time: 0.0066 memory: 819 2022/12/03 17:40:12 - mmengine - INFO - Epoch(val) [1][1600/6282] eta: 0:03:48 time: 0.0503 data_time: 0.0047 memory: 819 2022/12/03 17:40:13 - mmengine - INFO - Epoch(val) [1][1620/6282] eta: 0:03:47 time: 0.0510 data_time: 0.0046 memory: 819 2022/12/03 17:40:14 - mmengine - INFO - Epoch(val) [1][1640/6282] eta: 0:03:46 time: 0.0421 data_time: 0.0039 memory: 732 2022/12/03 17:40:15 - mmengine - INFO - Epoch(val) [1][1660/6282] eta: 0:03:44 time: 0.0441 data_time: 0.0055 memory: 732 2022/12/03 17:40:16 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:03:43 time: 0.0458 data_time: 0.0040 memory: 732 2022/12/03 17:40:16 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:03:42 time: 0.0472 data_time: 0.0048 memory: 732 2022/12/03 17:40:17 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:03:41 time: 0.0457 data_time: 0.0046 memory: 732 2022/12/03 17:40:18 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:03:40 time: 0.0437 data_time: 0.0038 memory: 732 2022/12/03 17:40:19 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:03:39 time: 0.0443 data_time: 0.0037 memory: 732 2022/12/03 17:40:20 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:03:38 time: 0.0519 data_time: 0.0063 memory: 732 2022/12/03 17:40:21 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:03:37 time: 0.0514 data_time: 0.0067 memory: 732 2022/12/03 17:40:22 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:03:36 time: 0.0501 data_time: 0.0052 memory: 732 2022/12/03 17:40:23 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:03:36 time: 0.0586 data_time: 0.0098 memory: 732 2022/12/03 17:40:25 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:03:35 time: 0.0564 data_time: 0.0066 memory: 732 2022/12/03 17:40:26 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:03:34 time: 0.0556 data_time: 0.0086 memory: 732 2022/12/03 17:40:27 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:03:34 time: 0.0572 data_time: 0.0088 memory: 732 2022/12/03 17:40:28 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:03:33 time: 0.0556 data_time: 0.0051 memory: 732 2022/12/03 17:40:29 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:03:32 time: 0.0477 data_time: 0.0055 memory: 732 2022/12/03 17:40:30 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:03:31 time: 0.0459 data_time: 0.0077 memory: 678 2022/12/03 17:40:31 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:03:30 time: 0.0431 data_time: 0.0051 memory: 678 2022/12/03 17:40:31 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:03:29 time: 0.0433 data_time: 0.0048 memory: 678 2022/12/03 17:40:32 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:03:27 time: 0.0428 data_time: 0.0050 memory: 678 2022/12/03 17:40:33 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:03:26 time: 0.0466 data_time: 0.0056 memory: 678 2022/12/03 17:40:34 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:03:25 time: 0.0427 data_time: 0.0057 memory: 678 2022/12/03 17:40:35 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:03:24 time: 0.0416 data_time: 0.0044 memory: 678 2022/12/03 17:40:36 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:03:23 time: 0.0408 data_time: 0.0033 memory: 678 2022/12/03 17:40:37 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:03:21 time: 0.0433 data_time: 0.0045 memory: 678 2022/12/03 17:40:38 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:03:20 time: 0.0430 data_time: 0.0049 memory: 678 2022/12/03 17:40:38 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:03:19 time: 0.0418 data_time: 0.0049 memory: 674 2022/12/03 17:40:39 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:03:18 time: 0.0410 data_time: 0.0061 memory: 674 2022/12/03 17:40:40 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:03:17 time: 0.0453 data_time: 0.0055 memory: 674 2022/12/03 17:40:41 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:03:16 time: 0.0445 data_time: 0.0053 memory: 674 2022/12/03 17:40:42 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:03:14 time: 0.0433 data_time: 0.0049 memory: 674 2022/12/03 17:40:43 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:03:13 time: 0.0415 data_time: 0.0045 memory: 678 2022/12/03 17:40:43 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:03:12 time: 0.0416 data_time: 0.0065 memory: 678 2022/12/03 17:40:44 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:03:11 time: 0.0437 data_time: 0.0049 memory: 678 2022/12/03 17:40:45 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:03:10 time: 0.0437 data_time: 0.0059 memory: 678 2022/12/03 17:40:46 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:03:09 time: 0.0439 data_time: 0.0053 memory: 678 2022/12/03 17:40:47 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:03:08 time: 0.0439 data_time: 0.0062 memory: 674 2022/12/03 17:40:48 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:03:06 time: 0.0427 data_time: 0.0048 memory: 674 2022/12/03 17:40:49 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:03:05 time: 0.0434 data_time: 0.0067 memory: 674 2022/12/03 17:40:50 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:03:04 time: 0.0434 data_time: 0.0048 memory: 674 2022/12/03 17:40:51 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:03:03 time: 0.0478 data_time: 0.0060 memory: 674 2022/12/03 17:40:52 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:03:02 time: 0.0518 data_time: 0.0056 memory: 732 2022/12/03 17:40:53 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:03:02 time: 0.0577 data_time: 0.0077 memory: 732 2022/12/03 17:40:54 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:03:01 time: 0.0559 data_time: 0.0092 memory: 732 2022/12/03 17:40:55 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:03:00 time: 0.0528 data_time: 0.0066 memory: 732 2022/12/03 17:40:56 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:02:59 time: 0.0530 data_time: 0.0066 memory: 732 2022/12/03 17:40:57 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:02:59 time: 0.0566 data_time: 0.0095 memory: 732 2022/12/03 17:40:58 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:02:58 time: 0.0595 data_time: 0.0103 memory: 732 2022/12/03 17:41:00 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:02:58 time: 0.0646 data_time: 0.0138 memory: 732 2022/12/03 17:41:01 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:02:57 time: 0.0566 data_time: 0.0094 memory: 732 2022/12/03 17:41:02 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:02:56 time: 0.0554 data_time: 0.0090 memory: 732 2022/12/03 17:41:03 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:02:55 time: 0.0514 data_time: 0.0048 memory: 811 2022/12/03 17:41:04 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:02:54 time: 0.0507 data_time: 0.0044 memory: 811 2022/12/03 17:41:05 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:02:53 time: 0.0558 data_time: 0.0053 memory: 811 2022/12/03 17:41:06 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:02:53 time: 0.0546 data_time: 0.0061 memory: 811 2022/12/03 17:41:07 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:02:52 time: 0.0504 data_time: 0.0038 memory: 811 2022/12/03 17:41:08 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:02:51 time: 0.0429 data_time: 0.0033 memory: 678 2022/12/03 17:41:09 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:02:50 time: 0.0440 data_time: 0.0062 memory: 678 2022/12/03 17:41:10 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:02:48 time: 0.0419 data_time: 0.0038 memory: 678 2022/12/03 17:41:11 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:02:47 time: 0.0412 data_time: 0.0050 memory: 678 2022/12/03 17:41:11 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:02:46 time: 0.0420 data_time: 0.0055 memory: 678 2022/12/03 17:41:12 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:02:45 time: 0.0494 data_time: 0.0052 memory: 732 2022/12/03 17:41:13 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:02:44 time: 0.0495 data_time: 0.0042 memory: 732 2022/12/03 17:41:14 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:02:43 time: 0.0472 data_time: 0.0050 memory: 732 2022/12/03 17:41:15 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:02:42 time: 0.0399 data_time: 0.0035 memory: 732 2022/12/03 17:41:16 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:02:41 time: 0.0425 data_time: 0.0050 memory: 701 2022/12/03 17:41:17 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:02:40 time: 0.0420 data_time: 0.0053 memory: 701 2022/12/03 17:41:18 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:02:39 time: 0.0404 data_time: 0.0039 memory: 701 2022/12/03 17:41:18 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:02:38 time: 0.0411 data_time: 0.0046 memory: 701 2022/12/03 17:41:19 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:02:37 time: 0.0446 data_time: 0.0039 memory: 732 2022/12/03 17:41:20 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:02:36 time: 0.0460 data_time: 0.0038 memory: 732 2022/12/03 17:41:21 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:02:35 time: 0.0462 data_time: 0.0052 memory: 732 2022/12/03 17:41:22 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:02:34 time: 0.0464 data_time: 0.0040 memory: 732 2022/12/03 17:41:23 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:02:32 time: 0.0418 data_time: 0.0037 memory: 732 2022/12/03 17:41:24 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:02:31 time: 0.0415 data_time: 0.0058 memory: 678 2022/12/03 17:41:25 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:02:30 time: 0.0409 data_time: 0.0061 memory: 678 2022/12/03 17:41:25 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:02:29 time: 0.0426 data_time: 0.0036 memory: 678 2022/12/03 17:41:26 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:02:28 time: 0.0429 data_time: 0.0060 memory: 678 2022/12/03 17:41:27 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:02:27 time: 0.0458 data_time: 0.0049 memory: 732 2022/12/03 17:41:28 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:02:26 time: 0.0490 data_time: 0.0059 memory: 732 2022/12/03 17:41:29 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:02:25 time: 0.0481 data_time: 0.0062 memory: 732 2022/12/03 17:41:30 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:02:24 time: 0.0478 data_time: 0.0046 memory: 732 2022/12/03 17:41:31 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:02:23 time: 0.0457 data_time: 0.0045 memory: 732 2022/12/03 17:41:32 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:02:22 time: 0.0477 data_time: 0.0049 memory: 732 2022/12/03 17:41:33 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:02:21 time: 0.0460 data_time: 0.0038 memory: 732 2022/12/03 17:41:34 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:02:20 time: 0.0452 data_time: 0.0039 memory: 732 2022/12/03 17:41:35 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:02:19 time: 0.0462 data_time: 0.0049 memory: 732 2022/12/03 17:41:36 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:02:18 time: 0.0445 data_time: 0.0045 memory: 732 2022/12/03 17:41:36 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:02:17 time: 0.0429 data_time: 0.0054 memory: 674 2022/12/03 17:41:37 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:02:16 time: 0.0419 data_time: 0.0042 memory: 674 2022/12/03 17:41:38 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:02:15 time: 0.0408 data_time: 0.0051 memory: 674 2022/12/03 17:41:39 - mmengine - INFO - Epoch(val) 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0:02:06 time: 0.0454 data_time: 0.0057 memory: 715 2022/12/03 17:41:47 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:02:05 time: 0.0445 data_time: 0.0050 memory: 715 2022/12/03 17:41:48 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:02:04 time: 0.0442 data_time: 0.0040 memory: 715 2022/12/03 17:41:49 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:02:03 time: 0.0477 data_time: 0.0053 memory: 732 2022/12/03 17:41:50 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:02:02 time: 0.0500 data_time: 0.0055 memory: 732 2022/12/03 17:41:51 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:02:01 time: 0.0499 data_time: 0.0069 memory: 732 2022/12/03 17:41:52 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:02:00 time: 0.0496 data_time: 0.0044 memory: 732 2022/12/03 17:41:53 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:01:59 time: 0.0482 data_time: 0.0045 memory: 732 2022/12/03 17:41:54 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:01:58 time: 0.0475 data_time: 0.0063 memory: 732 2022/12/03 17:41:55 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:01:57 time: 0.0483 data_time: 0.0040 memory: 732 2022/12/03 17:41:55 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:01:57 time: 0.0460 data_time: 0.0043 memory: 732 2022/12/03 17:41:56 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:01:56 time: 0.0491 data_time: 0.0064 memory: 732 2022/12/03 17:41:57 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:01:55 time: 0.0484 data_time: 0.0067 memory: 732 2022/12/03 17:41:58 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:01:54 time: 0.0481 data_time: 0.0072 memory: 732 2022/12/03 17:41:59 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:01:53 time: 0.0462 data_time: 0.0060 memory: 732 2022/12/03 17:42:00 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:01:52 time: 0.0495 data_time: 0.0046 memory: 732 2022/12/03 17:42:01 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:01:51 time: 0.0433 data_time: 0.0034 memory: 732 2022/12/03 17:42:02 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:01:50 time: 0.0451 data_time: 0.0048 memory: 732 2022/12/03 17:42:03 - mmengine - INFO - Epoch(val) [1][3980/6282] eta: 0:01:49 time: 0.0442 data_time: 0.0054 memory: 732 2022/12/03 17:42:04 - mmengine - INFO - Epoch(val) [1][4000/6282] eta: 0:01:48 time: 0.0447 data_time: 0.0050 memory: 732 2022/12/03 17:42:05 - mmengine - INFO - Epoch(val) [1][4020/6282] eta: 0:01:47 time: 0.0463 data_time: 0.0045 memory: 732 2022/12/03 17:42:06 - mmengine - INFO - Epoch(val) [1][4040/6282] eta: 0:01:46 time: 0.0466 data_time: 0.0047 memory: 811 2022/12/03 17:42:07 - mmengine - INFO - Epoch(val) [1][4060/6282] eta: 0:01:45 time: 0.0483 data_time: 0.0039 memory: 811 2022/12/03 17:42:08 - mmengine - INFO - Epoch(val) [1][4080/6282] eta: 0:01:44 time: 0.0496 data_time: 0.0036 memory: 811 2022/12/03 17:42:09 - mmengine - INFO - Epoch(val) [1][4100/6282] eta: 0:01:43 time: 0.0480 data_time: 0.0032 memory: 811 2022/12/03 17:42:10 - mmengine - INFO - Epoch(val) [1][4120/6282] eta: 0:01:42 time: 0.0484 data_time: 0.0033 memory: 811 2022/12/03 17:42:11 - mmengine - INFO - Epoch(val) [1][4140/6282] eta: 0:01:41 time: 0.0446 data_time: 0.0045 memory: 811 2022/12/03 17:42:11 - mmengine - INFO - Epoch(val) [1][4160/6282] eta: 0:01:40 time: 0.0406 data_time: 0.0048 memory: 674 2022/12/03 17:42:12 - mmengine - INFO - Epoch(val) [1][4180/6282] eta: 0:01:39 time: 0.0438 data_time: 0.0060 memory: 674 2022/12/03 17:42:13 - mmengine - INFO - Epoch(val) [1][4200/6282] eta: 0:01:38 time: 0.0422 data_time: 0.0035 memory: 674 2022/12/03 17:42:14 - mmengine - INFO - Epoch(val) [1][4220/6282] eta: 0:01:37 time: 0.0400 data_time: 0.0044 memory: 674 2022/12/03 17:42:15 - mmengine - INFO - Epoch(val) [1][4240/6282] eta: 0:01:36 time: 0.0406 data_time: 0.0035 memory: 674 2022/12/03 17:42:15 - mmengine - INFO - Epoch(val) [1][4260/6282] eta: 0:01:35 time: 0.0396 data_time: 0.0051 memory: 672 2022/12/03 17:42:16 - mmengine - INFO - Epoch(val) [1][4280/6282] eta: 0:01:34 time: 0.0399 data_time: 0.0059 memory: 672 2022/12/03 17:42:17 - mmengine - INFO - Epoch(val) [1][4300/6282] eta: 0:01:33 time: 0.0429 data_time: 0.0042 memory: 672 2022/12/03 17:42:18 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:01:32 time: 0.0420 data_time: 0.0035 memory: 672 2022/12/03 17:42:19 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:01:31 time: 0.0400 data_time: 0.0046 memory: 672 2022/12/03 17:42:20 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:01:30 time: 0.0466 data_time: 0.0044 memory: 732 2022/12/03 17:42:21 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:01:29 time: 0.0462 data_time: 0.0046 memory: 732 2022/12/03 17:42:22 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:01:28 time: 0.0443 data_time: 0.0040 memory: 732 2022/12/03 17:42:22 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:01:27 time: 0.0452 data_time: 0.0037 memory: 732 2022/12/03 17:42:23 - mmengine - INFO - Epoch(val) [1][4440/6282] eta: 0:01:26 time: 0.0456 data_time: 0.0053 memory: 739 2022/12/03 17:42:24 - mmengine - INFO - Epoch(val) [1][4460/6282] eta: 0:01:25 time: 0.0458 data_time: 0.0040 memory: 739 2022/12/03 17:42:25 - mmengine - INFO - Epoch(val) [1][4480/6282] eta: 0:01:24 time: 0.0450 data_time: 0.0050 memory: 739 2022/12/03 17:42:26 - mmengine - INFO - Epoch(val) [1][4500/6282] eta: 0:01:23 time: 0.0459 data_time: 0.0045 memory: 739 2022/12/03 17:42:27 - mmengine - INFO - Epoch(val) [1][4520/6282] eta: 0:01:23 time: 0.0449 data_time: 0.0043 memory: 739 2022/12/03 17:42:28 - mmengine - INFO - Epoch(val) [1][4540/6282] eta: 0:01:22 time: 0.0420 data_time: 0.0051 memory: 678 2022/12/03 17:42:29 - mmengine - INFO - Epoch(val) [1][4560/6282] eta: 0:01:21 time: 0.0447 data_time: 0.0063 memory: 678 2022/12/03 17:42:30 - mmengine - INFO - Epoch(val) [1][4580/6282] eta: 0:01:20 time: 0.0409 data_time: 0.0054 memory: 678 2022/12/03 17:42:30 - mmengine - INFO - Epoch(val) [1][4600/6282] eta: 0:01:19 time: 0.0404 data_time: 0.0059 memory: 678 2022/12/03 17:42:31 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:01:18 time: 0.0426 data_time: 0.0056 memory: 678 2022/12/03 17:42:32 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:01:17 time: 0.0462 data_time: 0.0049 memory: 739 2022/12/03 17:42:33 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:01:16 time: 0.0456 data_time: 0.0046 memory: 739 2022/12/03 17:42:34 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:01:15 time: 0.0456 data_time: 0.0045 memory: 739 2022/12/03 17:42:35 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:01:14 time: 0.0442 data_time: 0.0046 memory: 739 2022/12/03 17:42:36 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:01:13 time: 0.0458 data_time: 0.0041 memory: 739 2022/12/03 17:42:37 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:01:12 time: 0.0430 data_time: 0.0055 memory: 698 2022/12/03 17:42:37 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:01:11 time: 0.0387 data_time: 0.0048 memory: 698 2022/12/03 17:42:38 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:10 time: 0.0423 data_time: 0.0044 memory: 698 2022/12/03 17:42:39 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:09 time: 0.0434 data_time: 0.0049 memory: 698 2022/12/03 17:42:40 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:01:08 time: 0.0458 data_time: 0.0069 memory: 732 2022/12/03 17:42:41 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:01:07 time: 0.0464 data_time: 0.0044 memory: 732 2022/12/03 17:42:42 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:01:06 time: 0.0477 data_time: 0.0065 memory: 732 2022/12/03 17:42:43 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:01:05 time: 0.0460 data_time: 0.0051 memory: 732 2022/12/03 17:42:44 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:01:04 time: 0.0457 data_time: 0.0037 memory: 732 2022/12/03 17:42:45 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:01:03 time: 0.0473 data_time: 0.0037 memory: 735 2022/12/03 17:42:46 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:02 time: 0.0454 data_time: 0.0053 memory: 735 2022/12/03 17:42:47 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:01:01 time: 0.0461 data_time: 0.0046 memory: 735 2022/12/03 17:42:47 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:01:01 time: 0.0454 data_time: 0.0052 memory: 735 2022/12/03 17:42:48 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:01:00 time: 0.0472 data_time: 0.0046 memory: 735 2022/12/03 17:42:49 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:00:59 time: 0.0459 data_time: 0.0062 memory: 735 2022/12/03 17:42:50 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:00:58 time: 0.0477 data_time: 0.0061 memory: 678 2022/12/03 17:42:51 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:00:57 time: 0.0418 data_time: 0.0049 memory: 678 2022/12/03 17:42:52 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:00:56 time: 0.0427 data_time: 0.0048 memory: 678 2022/12/03 17:42:53 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:00:55 time: 0.0442 data_time: 0.0055 memory: 678 2022/12/03 17:42:54 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:00:54 time: 0.0424 data_time: 0.0053 memory: 678 2022/12/03 17:42:55 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:00:53 time: 0.0426 data_time: 0.0050 memory: 674 2022/12/03 17:42:55 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:00:52 time: 0.0440 data_time: 0.0055 memory: 674 2022/12/03 17:42:56 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:00:51 time: 0.0427 data_time: 0.0054 memory: 674 2022/12/03 17:42:57 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:00:50 time: 0.0407 data_time: 0.0041 memory: 674 2022/12/03 17:42:58 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:00:49 time: 0.0419 data_time: 0.0042 memory: 674 2022/12/03 17:42:59 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:00:48 time: 0.0422 data_time: 0.0046 memory: 672 2022/12/03 17:43:00 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:00:47 time: 0.0427 data_time: 0.0061 memory: 672 2022/12/03 17:43:01 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:00:46 time: 0.0450 data_time: 0.0053 memory: 672 2022/12/03 17:43:01 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:00:45 time: 0.0408 data_time: 0.0049 memory: 672 2022/12/03 17:43:02 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:00:44 time: 0.0436 data_time: 0.0058 memory: 674 2022/12/03 17:43:03 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:00:43 time: 0.0437 data_time: 0.0063 memory: 674 2022/12/03 17:43:04 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:00:42 time: 0.0424 data_time: 0.0060 memory: 674 2022/12/03 17:43:05 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:00:42 time: 0.0442 data_time: 0.0070 memory: 674 2022/12/03 17:43:06 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:00:41 time: 0.0415 data_time: 0.0054 memory: 674 2022/12/03 17:43:06 - mmengine - INFO - Epoch(val) [1][5420/6282] eta: 0:00:40 time: 0.0415 data_time: 0.0040 memory: 674 2022/12/03 17:43:07 - mmengine - INFO - Epoch(val) [1][5440/6282] eta: 0:00:39 time: 0.0436 data_time: 0.0056 memory: 674 2022/12/03 17:43:08 - mmengine - INFO - Epoch(val) [1][5460/6282] eta: 0:00:38 time: 0.0465 data_time: 0.0058 memory: 674 2022/12/03 17:43:09 - mmengine - INFO - Epoch(val) [1][5480/6282] eta: 0:00:37 time: 0.0425 data_time: 0.0036 memory: 674 2022/12/03 17:43:10 - mmengine - INFO - Epoch(val) [1][5500/6282] eta: 0:00:36 time: 0.0419 data_time: 0.0045 memory: 674 2022/12/03 17:43:11 - mmengine - INFO - Epoch(val) [1][5520/6282] eta: 0:00:35 time: 0.0423 data_time: 0.0031 memory: 694 2022/12/03 17:43:12 - mmengine - INFO - Epoch(val) [1][5540/6282] eta: 0:00:34 time: 0.0426 data_time: 0.0052 memory: 694 2022/12/03 17:43:13 - mmengine - INFO - Epoch(val) [1][5560/6282] eta: 0:00:33 time: 0.0435 data_time: 0.0043 memory: 694 2022/12/03 17:43:13 - mmengine - INFO - Epoch(val) [1][5580/6282] eta: 0:00:32 time: 0.0443 data_time: 0.0050 memory: 694 2022/12/03 17:43:14 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:00:31 time: 0.0428 data_time: 0.0056 memory: 694 2022/12/03 17:43:15 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:30 time: 0.0418 data_time: 0.0047 memory: 694 2022/12/03 17:43:16 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:00:29 time: 0.0420 data_time: 0.0041 memory: 674 2022/12/03 17:43:17 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:28 time: 0.0437 data_time: 0.0051 memory: 674 2022/12/03 17:43:18 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:27 time: 0.0407 data_time: 0.0047 memory: 674 2022/12/03 17:43:19 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:27 time: 0.0434 data_time: 0.0049 memory: 674 2022/12/03 17:43:19 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:00:26 time: 0.0411 data_time: 0.0052 memory: 707 2022/12/03 17:43:20 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:25 time: 0.0438 data_time: 0.0050 memory: 707 2022/12/03 17:43:21 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:00:24 time: 0.0420 data_time: 0.0039 memory: 707 2022/12/03 17:43:22 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:23 time: 0.0409 data_time: 0.0040 memory: 707 2022/12/03 17:43:23 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:22 time: 0.0428 data_time: 0.0060 memory: 707 2022/12/03 17:43:24 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:21 time: 0.0445 data_time: 0.0058 memory: 707 2022/12/03 17:43:25 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:20 time: 0.0439 data_time: 0.0044 memory: 694 2022/12/03 17:43:25 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:19 time: 0.0458 data_time: 0.0068 memory: 694 2022/12/03 17:43:26 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:18 time: 0.0430 data_time: 0.0054 memory: 694 2022/12/03 17:43:27 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:17 time: 0.0426 data_time: 0.0057 memory: 694 2022/12/03 17:43:28 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:16 time: 0.0436 data_time: 0.0062 memory: 694 2022/12/03 17:43:29 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:15 time: 0.0423 data_time: 0.0048 memory: 674 2022/12/03 17:43:30 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:14 time: 0.0404 data_time: 0.0045 memory: 674 2022/12/03 17:43:31 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:13 time: 0.0430 data_time: 0.0053 memory: 674 2022/12/03 17:43:31 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:13 time: 0.0398 data_time: 0.0035 memory: 732 2022/12/03 17:43:32 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:12 time: 0.0344 data_time: 0.0020 memory: 732 2022/12/03 17:43:33 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:11 time: 0.0346 data_time: 0.0019 memory: 732 2022/12/03 17:43:33 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:10 time: 0.0350 data_time: 0.0021 memory: 732 2022/12/03 17:43:34 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:09 time: 0.0360 data_time: 0.0025 memory: 732 2022/12/03 17:43:35 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:08 time: 0.0350 data_time: 0.0019 memory: 732 2022/12/03 17:43:36 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:07 time: 0.0352 data_time: 0.0024 memory: 732 2022/12/03 17:43:36 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:06 time: 0.0347 data_time: 0.0021 memory: 732 2022/12/03 17:43:37 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:05 time: 0.0355 data_time: 0.0021 memory: 732 2022/12/03 17:43:38 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:04 time: 0.0337 data_time: 0.0019 memory: 732 2022/12/03 17:43:38 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:03 time: 0.0331 data_time: 0.0018 memory: 732 2022/12/03 17:43:39 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:02 time: 0.0332 data_time: 0.0018 memory: 732 2022/12/03 17:43:40 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:01 time: 0.0329 data_time: 0.0018 memory: 732 2022/12/03 17:43:40 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:01 time: 0.0355 data_time: 0.0025 memory: 732 2022/12/03 17:43:41 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.0327 data_time: 0.0017 memory: 732 2022/12/03 17:48:39 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.2397 2022/12/03 17:48:41 - mmengine - INFO - The best checkpoint with 0.2397 mAP/mAP@0.5IOU at 1 epoch is saved to best_mAP/mAP@0.5IOU_epoch_1.pth. 2022/12/03 17:48:48 - mmengine - INFO - Epoch(train) [2][ 20/4451] lr: 5.5197e-02 eta: 3:34:22 time: 0.3378 data_time: 0.0270 memory: 8510 grad_norm: 0.2007 loss: 0.0825 recall@thr=0.5: 0.5192 prec@thr=0.5: 0.5833 recall@top3: 0.6474 prec@top3: 0.5000 recall@top5: 0.8077 prec@top5: 0.3846 loss_action_cls: 0.0825 2022/12/03 17:48:55 - mmengine - INFO - Epoch(train) [2][ 40/4451] lr: 5.5399e-02 eta: 3:34:16 time: 0.3191 data_time: 0.0095 memory: 8510 grad_norm: 0.1922 loss: 0.0714 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8148 recall@top3: 0.8611 prec@top3: 0.5000 recall@top5: 0.8611 prec@top5: 0.3000 loss_action_cls: 0.0714 2022/12/03 17:49:01 - mmengine - INFO - Epoch(train) [2][ 60/4451] lr: 5.5602e-02 eta: 3:34:09 time: 0.3177 data_time: 0.0100 memory: 8510 grad_norm: 0.2223 loss: 0.0697 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.6548 recall@top3: 0.8571 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.3524 loss_action_cls: 0.0697 2022/12/03 17:49:07 - mmengine - INFO - Epoch(train) [2][ 80/4451] lr: 5.5804e-02 eta: 3:34:02 time: 0.3190 data_time: 0.0099 memory: 8510 grad_norm: 0.1891 loss: 0.0826 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.6111 recall@top3: 0.7976 prec@top3: 0.5714 recall@top5: 0.9048 prec@top5: 0.4000 loss_action_cls: 0.0826 2022/12/03 17:49:14 - mmengine - INFO - Epoch(train) [2][ 100/4451] lr: 5.6006e-02 eta: 3:33:55 time: 0.3199 data_time: 0.0115 memory: 8510 grad_norm: 0.1865 loss: 0.0769 recall@thr=0.5: 0.3681 prec@thr=0.5: 0.5417 recall@top3: 0.6597 prec@top3: 0.5417 recall@top5: 0.7917 prec@top5: 0.4000 loss_action_cls: 0.0769 2022/12/03 17:49:20 - mmengine - INFO - Epoch(train) [2][ 120/4451] lr: 5.6208e-02 eta: 3:33:48 time: 0.3192 data_time: 0.0106 memory: 8510 grad_norm: 0.1853 loss: 0.0846 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5652 recall@top3: 0.7536 prec@top3: 0.5072 recall@top5: 0.8768 prec@top5: 0.3652 loss_action_cls: 0.0846 2022/12/03 17:49:26 - mmengine - INFO - Epoch(train) [2][ 140/4451] lr: 5.6411e-02 eta: 3:33:42 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1825 loss: 0.0721 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8529 recall@top3: 0.8824 prec@top3: 0.5686 recall@top5: 0.9510 prec@top5: 0.3765 loss_action_cls: 0.0721 2022/12/03 17:49:33 - mmengine - INFO - Epoch(train) [2][ 160/4451] lr: 5.6613e-02 eta: 3:33:35 time: 0.3200 data_time: 0.0109 memory: 8510 grad_norm: 0.1934 loss: 0.0914 recall@thr=0.5: 0.4611 prec@thr=0.5: 0.6111 recall@top3: 0.6767 prec@top3: 0.4889 recall@top5: 0.9478 prec@top5: 0.4667 loss_action_cls: 0.0914 2022/12/03 17:49:39 - mmengine - INFO - Epoch(train) [2][ 180/4451] lr: 5.6815e-02 eta: 3:33:28 time: 0.3193 data_time: 0.0114 memory: 8510 grad_norm: 0.1897 loss: 0.0764 recall@thr=0.5: 0.6259 prec@thr=0.5: 0.7407 recall@top3: 0.7370 prec@top3: 0.4815 recall@top5: 0.8019 prec@top5: 0.3222 loss_action_cls: 0.0764 2022/12/03 17:49:46 - mmengine - INFO - Epoch(train) [2][ 200/4451] lr: 5.7017e-02 eta: 3:33:22 time: 0.3198 data_time: 0.0119 memory: 8510 grad_norm: 0.1816 loss: 0.0671 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.6471 recall@top3: 0.8627 prec@top3: 0.5098 recall@top5: 0.9118 prec@top5: 0.3412 loss_action_cls: 0.0671 2022/12/03 17:49:52 - mmengine - INFO - Epoch(train) [2][ 220/4451] lr: 5.7219e-02 eta: 3:33:15 time: 0.3193 data_time: 0.0099 memory: 8510 grad_norm: 0.1978 loss: 0.0770 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5595 recall@top3: 0.6310 prec@top3: 0.4762 recall@top5: 0.7143 prec@top5: 0.3286 loss_action_cls: 0.0770 2022/12/03 17:49:58 - mmengine - INFO - Epoch(train) [2][ 240/4451] lr: 5.7422e-02 eta: 3:33:08 time: 0.3183 data_time: 0.0103 memory: 8510 grad_norm: 0.1905 loss: 0.0797 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7870 recall@top3: 0.8056 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5889 loss_action_cls: 0.0797 2022/12/03 17:50:05 - mmengine - INFO - Epoch(train) [2][ 260/4451] lr: 5.7624e-02 eta: 3:33:01 time: 0.3183 data_time: 0.0100 memory: 8510 grad_norm: 0.1892 loss: 0.0901 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.5079 recall@top3: 0.8175 prec@top3: 0.6032 recall@top5: 0.9524 prec@top5: 0.4381 loss_action_cls: 0.0901 2022/12/03 17:50:11 - mmengine - INFO - Epoch(train) [2][ 280/4451] lr: 5.7826e-02 eta: 3:32:54 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.1867 loss: 0.0829 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6422 recall@top3: 0.7745 prec@top3: 0.5686 recall@top5: 0.8873 prec@top5: 0.3882 loss_action_cls: 0.0829 2022/12/03 17:50:18 - mmengine - INFO - Epoch(train) [2][ 300/4451] lr: 5.8028e-02 eta: 3:32:47 time: 0.3174 data_time: 0.0105 memory: 8510 grad_norm: 0.2037 loss: 0.0744 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5583 recall@top3: 0.7500 prec@top3: 0.4333 recall@top5: 0.8000 prec@top5: 0.2800 loss_action_cls: 0.0744 2022/12/03 17:50:24 - mmengine - INFO - Epoch(train) [2][ 320/4451] lr: 5.8231e-02 eta: 3:32:41 time: 0.3201 data_time: 0.0104 memory: 8510 grad_norm: 0.1839 loss: 0.0940 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5000 recall@top3: 0.7833 prec@top3: 0.4167 recall@top5: 0.8750 prec@top5: 0.2800 loss_action_cls: 0.0940 2022/12/03 17:50:30 - mmengine - INFO - Epoch(train) [2][ 340/4451] lr: 5.8433e-02 eta: 3:32:34 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.2021 loss: 0.0877 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6667 recall@top3: 0.6333 prec@top3: 0.4444 recall@top5: 0.8500 prec@top5: 0.3467 loss_action_cls: 0.0877 2022/12/03 17:50:37 - mmengine - INFO - Epoch(train) [2][ 360/4451] lr: 5.8635e-02 eta: 3:32:27 time: 0.3190 data_time: 0.0118 memory: 8510 grad_norm: 0.1990 loss: 0.0792 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.8141 recall@top3: 0.8974 prec@top3: 0.7564 recall@top5: 0.9551 prec@top5: 0.4923 loss_action_cls: 0.0792 2022/12/03 17:50:43 - mmengine - INFO - Epoch(train) [2][ 380/4451] lr: 5.8837e-02 eta: 3:32:21 time: 0.3185 data_time: 0.0106 memory: 8510 grad_norm: 0.2279 loss: 0.0803 recall@thr=0.5: 0.4921 prec@thr=0.5: 0.5317 recall@top3: 0.6905 prec@top3: 0.5714 recall@top5: 0.9206 prec@top5: 0.4667 loss_action_cls: 0.0803 2022/12/03 17:50:49 - mmengine - INFO - Epoch(train) [2][ 400/4451] lr: 5.9039e-02 eta: 3:32:14 time: 0.3182 data_time: 0.0107 memory: 8510 grad_norm: 0.1900 loss: 0.0723 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.5625 recall@top5: 0.8854 prec@top5: 0.3625 loss_action_cls: 0.0723 2022/12/03 17:50:56 - mmengine - INFO - Epoch(train) [2][ 420/4451] lr: 5.9242e-02 eta: 3:32:07 time: 0.3192 data_time: 0.0104 memory: 8510 grad_norm: 0.1908 loss: 0.0678 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7042 recall@top3: 0.8292 prec@top3: 0.6000 recall@top5: 0.9167 prec@top5: 0.4200 loss_action_cls: 0.0678 2022/12/03 17:51:02 - mmengine - INFO - Epoch(train) [2][ 440/4451] lr: 5.9444e-02 eta: 3:32:00 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1934 loss: 0.0850 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.7000 recall@top3: 0.6667 prec@top3: 0.5333 recall@top5: 0.8500 prec@top5: 0.4267 loss_action_cls: 0.0850 2022/12/03 17:51:09 - mmengine - INFO - Epoch(train) [2][ 460/4451] lr: 5.9646e-02 eta: 3:31:53 time: 0.3186 data_time: 0.0098 memory: 8510 grad_norm: 0.1993 loss: 0.0731 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.6894 recall@top3: 0.9015 prec@top3: 0.6212 recall@top5: 0.9242 prec@top5: 0.3909 loss_action_cls: 0.0731 2022/12/03 17:51:15 - mmengine - INFO - Epoch(train) [2][ 480/4451] lr: 5.9848e-02 eta: 3:31:47 time: 0.3198 data_time: 0.0109 memory: 8510 grad_norm: 0.2058 loss: 0.0742 recall@thr=0.5: 0.4059 prec@thr=0.5: 0.5098 recall@top3: 0.4765 prec@top3: 0.3922 recall@top5: 0.6569 prec@top5: 0.3529 loss_action_cls: 0.0742 2022/12/03 17:51:21 - mmengine - INFO - Epoch(train) [2][ 500/4451] lr: 6.0051e-02 eta: 3:31:40 time: 0.3200 data_time: 0.0116 memory: 8510 grad_norm: 0.1994 loss: 0.0731 recall@thr=0.5: 0.4733 prec@thr=0.5: 0.6800 recall@top3: 0.5933 prec@top3: 0.5467 recall@top5: 0.7900 prec@top5: 0.4640 loss_action_cls: 0.0731 2022/12/03 17:51:28 - mmengine - INFO - Epoch(train) [2][ 520/4451] lr: 6.0253e-02 eta: 3:31:33 time: 0.3186 data_time: 0.0107 memory: 8510 grad_norm: 0.1816 loss: 0.0774 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.8529 recall@top3: 0.5980 prec@top3: 0.4314 recall@top5: 0.7843 prec@top5: 0.3647 loss_action_cls: 0.0774 2022/12/03 17:51:34 - mmengine - INFO - Epoch(train) [2][ 540/4451] lr: 6.0455e-02 eta: 3:31:27 time: 0.3206 data_time: 0.0105 memory: 8510 grad_norm: 0.1923 loss: 0.0899 recall@thr=0.5: 0.3667 prec@thr=0.5: 0.4250 recall@top3: 0.7333 prec@top3: 0.5500 recall@top5: 0.8750 prec@top5: 0.4100 loss_action_cls: 0.0899 2022/12/03 17:51:37 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 17:51:41 - mmengine - INFO - Epoch(train) [2][ 560/4451] lr: 6.0657e-02 eta: 3:31:20 time: 0.3188 data_time: 0.0103 memory: 8510 grad_norm: 0.2100 loss: 0.0756 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8250 recall@top3: 0.8583 prec@top3: 0.6000 recall@top5: 0.9875 prec@top5: 0.4300 loss_action_cls: 0.0756 2022/12/03 17:51:47 - mmengine - INFO - Epoch(train) [2][ 580/4451] lr: 6.0859e-02 eta: 3:31:13 time: 0.3191 data_time: 0.0109 memory: 8510 grad_norm: 0.1756 loss: 0.0734 recall@thr=0.5: 0.4536 prec@thr=0.5: 0.5000 recall@top3: 0.8449 prec@top3: 0.6232 recall@top5: 0.9043 prec@top5: 0.4087 loss_action_cls: 0.0734 2022/12/03 17:51:53 - mmengine - INFO - Epoch(train) [2][ 600/4451] lr: 6.1062e-02 eta: 3:31:07 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1873 loss: 0.0890 recall@thr=0.5: 0.6259 prec@thr=0.5: 0.7037 recall@top3: 0.8315 prec@top3: 0.6481 recall@top5: 0.9111 prec@top5: 0.4444 loss_action_cls: 0.0890 2022/12/03 17:52:00 - mmengine - INFO - Epoch(train) [2][ 620/4451] lr: 6.1264e-02 eta: 3:31:00 time: 0.3196 data_time: 0.0104 memory: 8510 grad_norm: 0.1996 loss: 0.0601 recall@thr=0.5: 0.2667 prec@thr=0.5: 0.3667 recall@top3: 0.5500 prec@top3: 0.3500 recall@top5: 0.7333 prec@top5: 0.2800 loss_action_cls: 0.0601 2022/12/03 17:52:06 - mmengine - INFO - Epoch(train) [2][ 640/4451] lr: 6.1466e-02 eta: 3:30:54 time: 0.3204 data_time: 0.0103 memory: 8510 grad_norm: 0.1908 loss: 0.0651 recall@thr=0.5: 0.4294 prec@thr=0.5: 0.5392 recall@top3: 0.5980 prec@top3: 0.5098 recall@top5: 0.7922 prec@top5: 0.3882 loss_action_cls: 0.0651 2022/12/03 17:52:13 - mmengine - INFO - Epoch(train) [2][ 660/4451] lr: 6.1668e-02 eta: 3:30:47 time: 0.3188 data_time: 0.0110 memory: 8510 grad_norm: 0.1984 loss: 0.0762 recall@thr=0.5: 0.5030 prec@thr=0.5: 0.5905 recall@top3: 0.6935 prec@top3: 0.6429 recall@top5: 0.9643 prec@top5: 0.5357 loss_action_cls: 0.0762 2022/12/03 17:52:19 - mmengine - INFO - Epoch(train) [2][ 680/4451] lr: 6.1871e-02 eta: 3:30:40 time: 0.3194 data_time: 0.0099 memory: 8510 grad_norm: 0.2122 loss: 0.0762 recall@thr=0.5: 0.3802 prec@thr=0.5: 0.6458 recall@top3: 0.6094 prec@top3: 0.5625 recall@top5: 0.7656 prec@top5: 0.4375 loss_action_cls: 0.0762 2022/12/03 17:52:25 - mmengine - INFO - Epoch(train) [2][ 700/4451] lr: 6.2073e-02 eta: 3:30:34 time: 0.3204 data_time: 0.0104 memory: 8510 grad_norm: 0.2216 loss: 0.0830 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.8409 recall@top3: 0.7500 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.5000 loss_action_cls: 0.0830 2022/12/03 17:52:32 - mmengine - INFO - Epoch(train) [2][ 720/4451] lr: 6.2275e-02 eta: 3:30:27 time: 0.3191 data_time: 0.0112 memory: 8510 grad_norm: 0.2056 loss: 0.0756 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7121 recall@top3: 0.8106 prec@top3: 0.5455 recall@top5: 0.9242 prec@top5: 0.3636 loss_action_cls: 0.0756 2022/12/03 17:52:38 - mmengine - INFO - Epoch(train) [2][ 740/4451] lr: 6.2477e-02 eta: 3:30:20 time: 0.3192 data_time: 0.0102 memory: 8510 grad_norm: 0.1820 loss: 0.0760 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7028 recall@top3: 0.7500 prec@top3: 0.5667 recall@top5: 0.8833 prec@top5: 0.4133 loss_action_cls: 0.0760 2022/12/03 17:52:44 - mmengine - INFO - Epoch(train) [2][ 760/4451] lr: 6.2679e-02 eta: 3:30:14 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1875 loss: 0.0623 recall@thr=0.5: 0.5352 prec@thr=0.5: 0.6574 recall@top3: 0.6546 prec@top3: 0.5926 recall@top5: 0.8481 prec@top5: 0.4444 loss_action_cls: 0.0623 2022/12/03 17:52:51 - mmengine - INFO - Epoch(train) [2][ 780/4451] lr: 6.2882e-02 eta: 3:30:07 time: 0.3188 data_time: 0.0105 memory: 8510 grad_norm: 0.1945 loss: 0.0715 recall@thr=0.5: 0.3250 prec@thr=0.5: 0.4333 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0715 2022/12/03 17:52:57 - mmengine - INFO - Epoch(train) [2][ 800/4451] lr: 6.3084e-02 eta: 3:30:00 time: 0.3187 data_time: 0.0103 memory: 8510 grad_norm: 0.1888 loss: 0.0666 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7083 recall@top3: 0.6979 prec@top3: 0.5417 recall@top5: 0.9479 prec@top5: 0.4500 loss_action_cls: 0.0666 2022/12/03 17:53:04 - mmengine - INFO - Epoch(train) [2][ 820/4451] lr: 6.3286e-02 eta: 3:29:54 time: 0.3206 data_time: 0.0103 memory: 8510 grad_norm: 0.1783 loss: 0.0672 recall@thr=0.5: 0.4114 prec@thr=0.5: 0.5205 recall@top3: 0.6133 prec@top3: 0.5619 recall@top5: 0.8981 prec@top5: 0.5143 loss_action_cls: 0.0672 2022/12/03 17:53:10 - mmengine - INFO - Epoch(train) [2][ 840/4451] lr: 6.3488e-02 eta: 3:29:47 time: 0.3190 data_time: 0.0108 memory: 8510 grad_norm: 0.1959 loss: 0.0686 recall@thr=0.5: 0.3802 prec@thr=0.5: 0.5312 recall@top3: 0.8802 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0686 2022/12/03 17:53:16 - mmengine - INFO - Epoch(train) [2][ 860/4451] lr: 6.3691e-02 eta: 3:29:40 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.2153 loss: 0.0753 recall@thr=0.5: 0.5035 prec@thr=0.5: 0.6111 recall@top3: 0.7257 prec@top3: 0.5833 recall@top5: 0.9236 prec@top5: 0.4333 loss_action_cls: 0.0753 2022/12/03 17:53:23 - mmengine - INFO - Epoch(train) [2][ 880/4451] lr: 6.3893e-02 eta: 3:29:34 time: 0.3193 data_time: 0.0108 memory: 8510 grad_norm: 0.1980 loss: 0.0766 recall@thr=0.5: 0.3701 prec@thr=0.5: 0.4861 recall@top3: 0.5160 prec@top3: 0.3611 recall@top5: 0.6715 prec@top5: 0.3083 loss_action_cls: 0.0766 2022/12/03 17:53:29 - mmengine - INFO - Epoch(train) [2][ 900/4451] lr: 6.4095e-02 eta: 3:29:27 time: 0.3193 data_time: 0.0100 memory: 8510 grad_norm: 0.1944 loss: 0.0660 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7083 recall@top3: 0.8117 prec@top3: 0.6333 recall@top5: 0.9383 prec@top5: 0.4800 loss_action_cls: 0.0660 2022/12/03 17:53:36 - mmengine - INFO - Epoch(train) [2][ 920/4451] lr: 6.4297e-02 eta: 3:29:20 time: 0.3189 data_time: 0.0104 memory: 8510 grad_norm: 0.1815 loss: 0.0825 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.5556 recall@top3: 0.7722 prec@top3: 0.4259 recall@top5: 0.8361 prec@top5: 0.3000 loss_action_cls: 0.0825 2022/12/03 17:53:42 - mmengine - INFO - Epoch(train) [2][ 940/4451] lr: 6.4499e-02 eta: 3:29:14 time: 0.3183 data_time: 0.0104 memory: 8510 grad_norm: 0.1826 loss: 0.0746 recall@thr=0.5: 0.3967 prec@thr=0.5: 0.7000 recall@top3: 0.7833 prec@top3: 0.6933 recall@top5: 0.8967 prec@top5: 0.4960 loss_action_cls: 0.0746 2022/12/03 17:53:48 - mmengine - INFO - Epoch(train) [2][ 960/4451] lr: 6.4702e-02 eta: 3:29:07 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1751 loss: 0.0669 recall@thr=0.5: 0.5928 prec@thr=0.5: 0.7536 recall@top3: 0.7841 prec@top3: 0.6377 recall@top5: 0.9188 prec@top5: 0.4783 loss_action_cls: 0.0669 2022/12/03 17:53:55 - mmengine - INFO - Epoch(train) [2][ 980/4451] lr: 6.4904e-02 eta: 3:29:00 time: 0.3192 data_time: 0.0100 memory: 8510 grad_norm: 0.1829 loss: 0.0679 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6204 recall@top3: 0.7500 prec@top3: 0.5926 recall@top5: 0.9815 prec@top5: 0.4667 loss_action_cls: 0.0679 2022/12/03 17:54:01 - mmengine - INFO - Epoch(train) [2][1000/4451] lr: 6.5106e-02 eta: 3:28:54 time: 0.3184 data_time: 0.0105 memory: 8510 grad_norm: 0.1858 loss: 0.0681 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6667 recall@top3: 0.7937 prec@top3: 0.5556 recall@top5: 0.9762 prec@top5: 0.4000 loss_action_cls: 0.0681 2022/12/03 17:54:07 - mmengine - INFO - Epoch(train) [2][1020/4451] lr: 6.5308e-02 eta: 3:28:47 time: 0.3192 data_time: 0.0111 memory: 8510 grad_norm: 0.1822 loss: 0.0767 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5093 recall@top3: 0.8426 prec@top3: 0.6667 recall@top5: 0.9537 prec@top5: 0.4778 loss_action_cls: 0.0767 2022/12/03 17:54:14 - mmengine - INFO - Epoch(train) [2][1040/4451] lr: 6.5511e-02 eta: 3:28:40 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1890 loss: 0.0726 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.6493 recall@top3: 0.6250 prec@top3: 0.5278 recall@top5: 0.7847 prec@top5: 0.4000 loss_action_cls: 0.0726 2022/12/03 17:54:20 - mmengine - INFO - Epoch(train) [2][1060/4451] lr: 6.5713e-02 eta: 3:28:34 time: 0.3184 data_time: 0.0106 memory: 8510 grad_norm: 0.1798 loss: 0.0810 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.6765 recall@top3: 0.9118 prec@top3: 0.6471 recall@top5: 0.9853 prec@top5: 0.4353 loss_action_cls: 0.0810 2022/12/03 17:54:27 - mmengine - INFO - Epoch(train) [2][1080/4451] lr: 6.5915e-02 eta: 3:28:27 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1844 loss: 0.0789 recall@thr=0.5: 0.3077 prec@thr=0.5: 0.3077 recall@top3: 0.6923 prec@top3: 0.5128 recall@top5: 0.7692 prec@top5: 0.3538 loss_action_cls: 0.0789 2022/12/03 17:54:33 - mmengine - INFO - Epoch(train) [2][1100/4451] lr: 6.6117e-02 eta: 3:28:21 time: 0.3201 data_time: 0.0107 memory: 8510 grad_norm: 0.1920 loss: 0.0686 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6014 recall@top3: 0.8623 prec@top3: 0.5072 recall@top5: 0.9348 prec@top5: 0.3478 loss_action_cls: 0.0686 2022/12/03 17:54:39 - mmengine - INFO - Epoch(train) [2][1120/4451] lr: 6.6320e-02 eta: 3:28:14 time: 0.3185 data_time: 0.0112 memory: 8510 grad_norm: 0.1799 loss: 0.0698 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.8732 recall@top3: 0.7572 prec@top3: 0.6957 recall@top5: 0.9891 prec@top5: 0.5565 loss_action_cls: 0.0698 2022/12/03 17:54:46 - mmengine - INFO - Epoch(train) [2][1140/4451] lr: 6.6522e-02 eta: 3:28:07 time: 0.3196 data_time: 0.0104 memory: 8510 grad_norm: 0.1906 loss: 0.0735 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6491 recall@top3: 0.9123 prec@top3: 0.5789 recall@top5: 0.9649 prec@top5: 0.3684 loss_action_cls: 0.0735 2022/12/03 17:54:52 - mmengine - INFO - Epoch(train) [2][1160/4451] lr: 6.6724e-02 eta: 3:28:01 time: 0.3195 data_time: 0.0105 memory: 8510 grad_norm: 0.1993 loss: 0.0730 recall@thr=0.5: 0.5032 prec@thr=0.5: 0.7381 recall@top3: 0.7262 prec@top3: 0.5873 recall@top5: 0.9492 prec@top5: 0.4762 loss_action_cls: 0.0730 2022/12/03 17:54:59 - mmengine - INFO - Epoch(train) [2][1180/4451] lr: 6.6926e-02 eta: 3:27:54 time: 0.3182 data_time: 0.0101 memory: 8510 grad_norm: 0.1910 loss: 0.0707 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7063 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.4381 loss_action_cls: 0.0707 2022/12/03 17:55:05 - mmengine - INFO - Epoch(train) [2][1200/4451] lr: 6.7128e-02 eta: 3:27:47 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1941 loss: 0.0745 recall@thr=0.5: 0.5601 prec@thr=0.5: 0.7464 recall@top3: 0.6370 prec@top3: 0.6667 recall@top5: 0.8275 prec@top5: 0.5304 loss_action_cls: 0.0745 2022/12/03 17:55:11 - mmengine - INFO - Epoch(train) [2][1220/4451] lr: 6.7331e-02 eta: 3:27:40 time: 0.3182 data_time: 0.0107 memory: 8510 grad_norm: 0.1950 loss: 0.0631 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7745 recall@top3: 0.7892 prec@top3: 0.5294 recall@top5: 0.9412 prec@top5: 0.3765 loss_action_cls: 0.0631 2022/12/03 17:55:18 - mmengine - INFO - Epoch(train) [2][1240/4451] lr: 6.7533e-02 eta: 3:27:34 time: 0.3189 data_time: 0.0102 memory: 8510 grad_norm: 0.1918 loss: 0.0752 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6222 recall@top3: 0.9667 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0752 2022/12/03 17:55:24 - mmengine - INFO - Epoch(train) [2][1260/4451] lr: 6.7735e-02 eta: 3:27:27 time: 0.3188 data_time: 0.0099 memory: 8510 grad_norm: 0.1931 loss: 0.0764 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.7105 recall@top3: 0.7281 prec@top3: 0.5439 recall@top5: 0.8246 prec@top5: 0.3789 loss_action_cls: 0.0764 2022/12/03 17:55:30 - mmengine - INFO - Epoch(train) [2][1280/4451] lr: 6.7937e-02 eta: 3:27:21 time: 0.3198 data_time: 0.0109 memory: 8510 grad_norm: 0.1869 loss: 0.0758 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7045 recall@top3: 0.7955 prec@top3: 0.6515 recall@top5: 0.9545 prec@top5: 0.4818 loss_action_cls: 0.0758 2022/12/03 17:55:37 - mmengine - INFO - Epoch(train) [2][1300/4451] lr: 6.8140e-02 eta: 3:27:14 time: 0.3188 data_time: 0.0103 memory: 8510 grad_norm: 0.1740 loss: 0.0683 recall@thr=0.5: 0.7028 prec@thr=0.5: 0.8981 recall@top3: 0.8806 prec@top3: 0.7407 recall@top5: 0.9287 prec@top5: 0.4778 loss_action_cls: 0.0683 2022/12/03 17:55:43 - mmengine - INFO - Epoch(train) [2][1320/4451] lr: 6.8342e-02 eta: 3:27:07 time: 0.3193 data_time: 0.0111 memory: 8510 grad_norm: 0.1775 loss: 0.0671 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5490 recall@top3: 0.6569 prec@top3: 0.5098 recall@top5: 0.7941 prec@top5: 0.3765 loss_action_cls: 0.0671 2022/12/03 17:55:50 - mmengine - INFO - Epoch(train) [2][1340/4451] lr: 6.8544e-02 eta: 3:27:01 time: 0.3191 data_time: 0.0119 memory: 8510 grad_norm: 0.1783 loss: 0.0548 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8583 recall@top3: 0.8583 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4700 loss_action_cls: 0.0548 2022/12/03 17:55:56 - mmengine - INFO - Epoch(train) [2][1360/4451] lr: 6.8746e-02 eta: 3:26:54 time: 0.3205 data_time: 0.0105 memory: 8510 grad_norm: 0.1769 loss: 0.0764 recall@thr=0.5: 0.6716 prec@thr=0.5: 0.7745 recall@top3: 0.8039 prec@top3: 0.6667 recall@top5: 0.9265 prec@top5: 0.4941 loss_action_cls: 0.0764 2022/12/03 17:56:02 - mmengine - INFO - Epoch(train) [2][1380/4451] lr: 6.8948e-02 eta: 3:26:48 time: 0.3196 data_time: 0.0103 memory: 8510 grad_norm: 0.1831 loss: 0.0670 recall@thr=0.5: 0.6237 prec@thr=0.5: 0.6694 recall@top3: 0.6613 prec@top3: 0.5376 recall@top5: 0.9194 prec@top5: 0.4645 loss_action_cls: 0.0670 2022/12/03 17:56:09 - mmengine - INFO - Epoch(train) [2][1400/4451] lr: 6.9151e-02 eta: 3:26:41 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.1731 loss: 0.0616 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.7533 recall@top3: 0.8400 prec@top3: 0.6933 recall@top5: 0.9600 prec@top5: 0.4960 loss_action_cls: 0.0616 2022/12/03 17:56:15 - mmengine - INFO - Epoch(train) [2][1420/4451] lr: 6.9353e-02 eta: 3:26:34 time: 0.3188 data_time: 0.0104 memory: 8510 grad_norm: 0.1752 loss: 0.0680 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6296 recall@top3: 0.6944 prec@top3: 0.5185 recall@top5: 0.8611 prec@top5: 0.3556 loss_action_cls: 0.0680 2022/12/03 17:56:22 - mmengine - INFO - Epoch(train) [2][1440/4451] lr: 6.9555e-02 eta: 3:26:28 time: 0.3200 data_time: 0.0114 memory: 8510 grad_norm: 0.1772 loss: 0.0652 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7375 recall@top3: 0.8833 prec@top3: 0.6333 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0652 2022/12/03 17:56:28 - mmengine - INFO - Epoch(train) [2][1460/4451] lr: 6.9757e-02 eta: 3:26:21 time: 0.3193 data_time: 0.0106 memory: 8510 grad_norm: 0.1841 loss: 0.0614 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.8235 recall@top3: 0.8235 prec@top3: 0.7059 recall@top5: 0.8824 prec@top5: 0.4706 loss_action_cls: 0.0614 2022/12/03 17:56:34 - mmengine - INFO - Epoch(train) [2][1480/4451] lr: 6.9960e-02 eta: 3:26:15 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1841 loss: 0.0681 recall@thr=0.5: 0.4705 prec@thr=0.5: 0.6780 recall@top3: 0.5818 prec@top3: 0.5303 recall@top5: 0.8045 prec@top5: 0.4455 loss_action_cls: 0.0681 2022/12/03 17:56:41 - mmengine - INFO - Epoch(train) [2][1500/4451] lr: 7.0162e-02 eta: 3:26:08 time: 0.3194 data_time: 0.0111 memory: 8510 grad_norm: 0.1683 loss: 0.0726 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.7685 recall@top3: 0.8009 prec@top3: 0.5926 recall@top5: 0.8796 prec@top5: 0.4000 loss_action_cls: 0.0726 2022/12/03 17:56:47 - mmengine - INFO - Epoch(train) [2][1520/4451] lr: 7.0364e-02 eta: 3:26:02 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.1858 loss: 0.0598 recall@thr=0.5: 0.5780 prec@thr=0.5: 0.7733 recall@top3: 0.7533 prec@top3: 0.7200 recall@top5: 0.9453 prec@top5: 0.5680 loss_action_cls: 0.0598 2022/12/03 17:56:54 - mmengine - INFO - Epoch(train) [2][1540/4451] lr: 7.0566e-02 eta: 3:25:55 time: 0.3189 data_time: 0.0104 memory: 8510 grad_norm: 0.1835 loss: 0.0714 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.7719 recall@top3: 0.7982 prec@top3: 0.6491 recall@top5: 0.8772 prec@top5: 0.4421 loss_action_cls: 0.0714 2022/12/03 17:56:56 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 17:57:00 - mmengine - INFO - Epoch(train) [2][1560/4451] lr: 7.0768e-02 eta: 3:25:48 time: 0.3192 data_time: 0.0107 memory: 8510 grad_norm: 0.1767 loss: 0.0724 recall@thr=0.5: 0.6782 prec@thr=0.5: 0.5460 recall@top3: 0.7931 prec@top3: 0.5977 recall@top5: 0.9655 prec@top5: 0.4345 loss_action_cls: 0.0724 2022/12/03 17:57:06 - mmengine - INFO - Epoch(train) [2][1580/4451] lr: 7.0971e-02 eta: 3:25:42 time: 0.3193 data_time: 0.0101 memory: 8510 grad_norm: 0.1793 loss: 0.0725 recall@thr=0.5: 0.4710 prec@thr=0.5: 0.4384 recall@top3: 0.7029 prec@top3: 0.3913 recall@top5: 0.8551 prec@top5: 0.2957 loss_action_cls: 0.0725 2022/12/03 17:57:13 - mmengine - INFO - Epoch(train) [2][1600/4451] lr: 7.1173e-02 eta: 3:25:35 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1784 loss: 0.0766 recall@thr=0.5: 0.4135 prec@thr=0.5: 0.5321 recall@top3: 0.6506 prec@top3: 0.5897 recall@top5: 0.8045 prec@top5: 0.4538 loss_action_cls: 0.0766 2022/12/03 17:57:19 - mmengine - INFO - Epoch(train) [2][1620/4451] lr: 7.1375e-02 eta: 3:25:29 time: 0.3186 data_time: 0.0097 memory: 8510 grad_norm: 0.1800 loss: 0.0779 recall@thr=0.5: 0.5373 prec@thr=0.5: 0.5490 recall@top3: 0.7176 prec@top3: 0.5294 recall@top5: 0.8294 prec@top5: 0.3882 loss_action_cls: 0.0779 2022/12/03 17:57:25 - mmengine - INFO - Epoch(train) [2][1640/4451] lr: 7.1577e-02 eta: 3:25:22 time: 0.3187 data_time: 0.0110 memory: 8510 grad_norm: 0.1848 loss: 0.0725 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.7417 recall@top3: 0.7042 prec@top3: 0.5833 recall@top5: 0.8875 prec@top5: 0.4500 loss_action_cls: 0.0725 2022/12/03 17:57:32 - mmengine - INFO - Epoch(train) [2][1660/4451] lr: 7.1780e-02 eta: 3:25:15 time: 0.3178 data_time: 0.0109 memory: 8510 grad_norm: 0.1724 loss: 0.0691 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.5556 recall@top3: 0.6481 prec@top3: 0.5926 recall@top5: 0.9861 prec@top5: 0.5111 loss_action_cls: 0.0691 2022/12/03 17:57:38 - mmengine - INFO - Epoch(train) [2][1680/4451] lr: 7.1982e-02 eta: 3:25:09 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1899 loss: 0.0609 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6174 recall@top3: 0.7083 prec@top3: 0.4848 recall@top5: 0.8977 prec@top5: 0.3909 loss_action_cls: 0.0609 2022/12/03 17:57:45 - mmengine - INFO - Epoch(train) [2][1700/4451] lr: 7.2184e-02 eta: 3:25:02 time: 0.3195 data_time: 0.0110 memory: 8510 grad_norm: 0.1857 loss: 0.0748 recall@thr=0.5: 0.4508 prec@thr=0.5: 0.5455 recall@top3: 0.6742 prec@top3: 0.5606 recall@top5: 0.8561 prec@top5: 0.4364 loss_action_cls: 0.0748 2022/12/03 17:57:51 - mmengine - INFO - Epoch(train) [2][1720/4451] lr: 7.2386e-02 eta: 3:24:56 time: 0.3199 data_time: 0.0117 memory: 8510 grad_norm: 0.1797 loss: 0.0715 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7010 recall@top3: 0.7304 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0715 2022/12/03 17:57:57 - mmengine - INFO - Epoch(train) [2][1740/4451] lr: 7.2588e-02 eta: 3:24:49 time: 0.3183 data_time: 0.0102 memory: 8510 grad_norm: 0.1889 loss: 0.0710 recall@thr=0.5: 0.3382 prec@thr=0.5: 0.3775 recall@top3: 0.5588 prec@top3: 0.4706 recall@top5: 0.8922 prec@top5: 0.4588 loss_action_cls: 0.0710 2022/12/03 17:58:04 - mmengine - INFO - Epoch(train) [2][1760/4451] lr: 7.2791e-02 eta: 3:24:42 time: 0.3208 data_time: 0.0103 memory: 8510 grad_norm: 0.1875 loss: 0.0783 recall@thr=0.5: 0.3089 prec@thr=0.5: 0.5333 recall@top3: 0.5278 prec@top3: 0.5333 recall@top5: 0.8244 prec@top5: 0.4800 loss_action_cls: 0.0783 2022/12/03 17:58:10 - mmengine - INFO - Epoch(train) [2][1780/4451] lr: 7.2993e-02 eta: 3:24:36 time: 0.3192 data_time: 0.0102 memory: 8510 grad_norm: 0.1887 loss: 0.0661 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.5096 recall@top3: 0.6579 prec@top3: 0.4737 recall@top5: 0.8684 prec@top5: 0.3789 loss_action_cls: 0.0661 2022/12/03 17:58:17 - mmengine - INFO - Epoch(train) [2][1800/4451] lr: 7.3195e-02 eta: 3:24:29 time: 0.3194 data_time: 0.0110 memory: 8510 grad_norm: 0.1774 loss: 0.0680 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.6667 recall@top3: 0.8106 prec@top3: 0.6515 recall@top5: 0.9015 prec@top5: 0.4455 loss_action_cls: 0.0680 2022/12/03 17:58:23 - mmengine - INFO - Epoch(train) [2][1820/4451] lr: 7.3397e-02 eta: 3:24:23 time: 0.3195 data_time: 0.0105 memory: 8510 grad_norm: 0.1883 loss: 0.0675 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.6508 recall@top3: 0.6825 prec@top3: 0.5873 recall@top5: 0.8690 prec@top5: 0.4286 loss_action_cls: 0.0675 2022/12/03 17:58:29 - mmengine - INFO - Epoch(train) [2][1840/4451] lr: 7.3600e-02 eta: 3:24:16 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1946 loss: 0.0684 recall@thr=0.5: 0.6030 prec@thr=0.5: 0.7429 recall@top3: 0.6833 prec@top3: 0.6190 recall@top5: 0.7952 prec@top5: 0.4571 loss_action_cls: 0.0684 2022/12/03 17:58:36 - mmengine - INFO - Epoch(train) [2][1860/4451] lr: 7.3802e-02 eta: 3:24:10 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1908 loss: 0.0676 recall@thr=0.5: 0.5867 prec@thr=0.5: 0.7667 recall@top3: 0.8000 prec@top3: 0.7200 recall@top5: 0.9467 prec@top5: 0.5200 loss_action_cls: 0.0676 2022/12/03 17:58:42 - mmengine - INFO - Epoch(train) [2][1880/4451] lr: 7.4004e-02 eta: 3:24:03 time: 0.3194 data_time: 0.0101 memory: 8510 grad_norm: 0.1807 loss: 0.0717 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.5119 recall@top3: 0.7103 prec@top3: 0.4762 recall@top5: 0.8730 prec@top5: 0.3619 loss_action_cls: 0.0717 2022/12/03 17:58:49 - mmengine - INFO - Epoch(train) [2][1900/4451] lr: 7.4206e-02 eta: 3:23:57 time: 0.3198 data_time: 0.0112 memory: 8510 grad_norm: 0.1887 loss: 0.0647 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6429 recall@top3: 0.7857 prec@top3: 0.5238 recall@top5: 0.9464 prec@top5: 0.4000 loss_action_cls: 0.0647 2022/12/03 17:58:55 - mmengine - INFO - Epoch(train) [2][1920/4451] lr: 7.4408e-02 eta: 3:23:50 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1812 loss: 0.0649 recall@thr=0.5: 0.3509 prec@thr=0.5: 0.4649 recall@top3: 0.5439 prec@top3: 0.4737 recall@top5: 0.7675 prec@top5: 0.3895 loss_action_cls: 0.0649 2022/12/03 17:59:01 - mmengine - INFO - Epoch(train) [2][1940/4451] lr: 7.4611e-02 eta: 3:23:43 time: 0.3186 data_time: 0.0104 memory: 8510 grad_norm: 0.1781 loss: 0.0621 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.5294 recall@top3: 0.8235 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.3882 loss_action_cls: 0.0621 2022/12/03 17:59:08 - mmengine - INFO - Epoch(train) [2][1960/4451] lr: 7.4813e-02 eta: 3:23:37 time: 0.3187 data_time: 0.0108 memory: 8510 grad_norm: 0.1765 loss: 0.0639 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7222 recall@top3: 0.8611 prec@top3: 0.5370 recall@top5: 0.9722 prec@top5: 0.3667 loss_action_cls: 0.0639 2022/12/03 17:59:14 - mmengine - INFO - Epoch(train) [2][1980/4451] lr: 7.5015e-02 eta: 3:23:30 time: 0.3180 data_time: 0.0099 memory: 8510 grad_norm: 0.1731 loss: 0.0715 recall@thr=0.5: 0.3792 prec@thr=0.5: 0.4500 recall@top3: 0.6833 prec@top3: 0.4667 recall@top5: 0.8292 prec@top5: 0.3600 loss_action_cls: 0.0715 2022/12/03 17:59:20 - mmengine - INFO - Epoch(train) [2][2000/4451] lr: 7.5217e-02 eta: 3:23:24 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.1650 loss: 0.0600 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6354 recall@top3: 0.8542 prec@top3: 0.5208 recall@top5: 0.9688 prec@top5: 0.3625 loss_action_cls: 0.0600 2022/12/03 17:59:27 - mmengine - INFO - Epoch(train) [2][2020/4451] lr: 7.5420e-02 eta: 3:23:17 time: 0.3208 data_time: 0.0106 memory: 8510 grad_norm: 0.1742 loss: 0.0650 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.8039 recall@top3: 0.7255 prec@top3: 0.6471 recall@top5: 0.8431 prec@top5: 0.4706 loss_action_cls: 0.0650 2022/12/03 17:59:33 - mmengine - INFO - Epoch(train) [2][2040/4451] lr: 7.5622e-02 eta: 3:23:11 time: 0.3202 data_time: 0.0099 memory: 8510 grad_norm: 0.1814 loss: 0.0737 recall@thr=0.5: 0.5492 prec@thr=0.5: 0.5924 recall@top3: 0.6742 prec@top3: 0.5152 recall@top5: 0.8182 prec@top5: 0.3909 loss_action_cls: 0.0737 2022/12/03 17:59:40 - mmengine - INFO - Epoch(train) [2][2060/4451] lr: 7.5824e-02 eta: 3:23:04 time: 0.3188 data_time: 0.0101 memory: 8510 grad_norm: 0.1684 loss: 0.0655 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6863 recall@top3: 0.8235 prec@top3: 0.5098 recall@top5: 1.0000 prec@top5: 0.3647 loss_action_cls: 0.0655 2022/12/03 17:59:46 - mmengine - INFO - Epoch(train) [2][2080/4451] lr: 7.6026e-02 eta: 3:22:58 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1805 loss: 0.0699 recall@thr=0.5: 0.4451 prec@thr=0.5: 0.5278 recall@top3: 0.6488 prec@top3: 0.5556 recall@top5: 0.8765 prec@top5: 0.4593 loss_action_cls: 0.0699 2022/12/03 17:59:52 - mmengine - INFO - Epoch(train) [2][2100/4451] lr: 7.6229e-02 eta: 3:22:51 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.1868 loss: 0.0715 recall@thr=0.5: 0.6230 prec@thr=0.5: 0.6944 recall@top3: 0.8373 prec@top3: 0.6667 recall@top5: 0.9325 prec@top5: 0.4381 loss_action_cls: 0.0715 2022/12/03 17:59:59 - mmengine - INFO - Epoch(train) [2][2120/4451] lr: 7.6431e-02 eta: 3:22:45 time: 0.3210 data_time: 0.0121 memory: 8510 grad_norm: 0.1902 loss: 0.0657 recall@thr=0.5: 0.5939 prec@thr=0.5: 0.6719 recall@top3: 0.7123 prec@top3: 0.5263 recall@top5: 0.8825 prec@top5: 0.4316 loss_action_cls: 0.0657 2022/12/03 18:00:05 - mmengine - INFO - Epoch(train) [2][2140/4451] lr: 7.6633e-02 eta: 3:22:38 time: 0.3208 data_time: 0.0107 memory: 8510 grad_norm: 0.1690 loss: 0.0638 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.6979 recall@top3: 0.7396 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4875 loss_action_cls: 0.0638 2022/12/03 18:00:12 - mmengine - INFO - Epoch(train) [2][2160/4451] lr: 7.6835e-02 eta: 3:22:32 time: 0.3195 data_time: 0.0106 memory: 8510 grad_norm: 0.1807 loss: 0.0600 recall@thr=0.5: 0.4652 prec@thr=0.5: 0.5227 recall@top3: 0.5879 prec@top3: 0.4848 recall@top5: 0.7182 prec@top5: 0.3636 loss_action_cls: 0.0600 2022/12/03 18:00:18 - mmengine - INFO - Epoch(train) [2][2180/4451] lr: 7.7037e-02 eta: 3:22:25 time: 0.3198 data_time: 0.0105 memory: 8510 grad_norm: 0.1624 loss: 0.0660 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6190 recall@top3: 0.8175 prec@top3: 0.6825 recall@top5: 0.9444 prec@top5: 0.4857 loss_action_cls: 0.0660 2022/12/03 18:00:24 - mmengine - INFO - Epoch(train) [2][2200/4451] lr: 7.7240e-02 eta: 3:22:19 time: 0.3201 data_time: 0.0098 memory: 8510 grad_norm: 0.1589 loss: 0.0802 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.5833 recall@top3: 0.6991 prec@top3: 0.5741 recall@top5: 0.8148 prec@top5: 0.4111 loss_action_cls: 0.0802 2022/12/03 18:00:31 - mmengine - INFO - Epoch(train) [2][2220/4451] lr: 7.7442e-02 eta: 3:22:12 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1703 loss: 0.0748 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.7368 recall@top3: 0.7412 prec@top3: 0.5614 recall@top5: 0.9298 prec@top5: 0.4000 loss_action_cls: 0.0748 2022/12/03 18:00:37 - mmengine - INFO - Epoch(train) [2][2240/4451] lr: 7.7644e-02 eta: 3:22:06 time: 0.3197 data_time: 0.0117 memory: 8510 grad_norm: 0.1761 loss: 0.0700 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7255 recall@top3: 0.8039 prec@top3: 0.5882 recall@top5: 0.9853 prec@top5: 0.4588 loss_action_cls: 0.0700 2022/12/03 18:00:44 - mmengine - INFO - Epoch(train) [2][2260/4451] lr: 7.7846e-02 eta: 3:21:59 time: 0.3197 data_time: 0.0107 memory: 8510 grad_norm: 0.1805 loss: 0.0644 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.5250 recall@top3: 0.7042 prec@top3: 0.5500 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0644 2022/12/03 18:00:50 - mmengine - INFO - Epoch(train) [2][2280/4451] lr: 7.8049e-02 eta: 3:21:53 time: 0.3193 data_time: 0.0103 memory: 8510 grad_norm: 0.1725 loss: 0.0724 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.8269 recall@top3: 0.8782 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.4462 loss_action_cls: 0.0724 2022/12/03 18:00:57 - mmengine - INFO - Epoch(train) [2][2300/4451] lr: 7.8251e-02 eta: 3:21:46 time: 0.3208 data_time: 0.0115 memory: 8510 grad_norm: 0.1724 loss: 0.0619 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6833 recall@top3: 0.8417 prec@top3: 0.6333 recall@top5: 0.9750 prec@top5: 0.4600 loss_action_cls: 0.0619 2022/12/03 18:01:03 - mmengine - INFO - Epoch(train) [2][2320/4451] lr: 7.8453e-02 eta: 3:21:40 time: 0.3188 data_time: 0.0104 memory: 8510 grad_norm: 0.1861 loss: 0.0582 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5667 recall@top3: 0.8111 prec@top3: 0.5333 recall@top5: 0.8556 prec@top5: 0.3467 loss_action_cls: 0.0582 2022/12/03 18:01:09 - mmengine - INFO - Epoch(train) [2][2340/4451] lr: 7.8655e-02 eta: 3:21:33 time: 0.3197 data_time: 0.0112 memory: 8510 grad_norm: 0.1628 loss: 0.0615 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.8750 recall@top3: 0.8333 prec@top3: 0.7917 recall@top5: 0.9688 prec@top5: 0.5500 loss_action_cls: 0.0615 2022/12/03 18:01:16 - mmengine - INFO - Epoch(train) [2][2360/4451] lr: 7.8857e-02 eta: 3:21:27 time: 0.3192 data_time: 0.0118 memory: 8510 grad_norm: 0.1646 loss: 0.0627 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6471 recall@top3: 0.7549 prec@top3: 0.6078 recall@top5: 0.8431 prec@top5: 0.4235 loss_action_cls: 0.0627 2022/12/03 18:01:22 - mmengine - INFO - Epoch(train) [2][2380/4451] lr: 7.9060e-02 eta: 3:21:20 time: 0.3179 data_time: 0.0104 memory: 8510 grad_norm: 0.2040 loss: 0.0759 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6667 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9111 prec@top5: 0.4933 loss_action_cls: 0.0759 2022/12/03 18:01:28 - mmengine - INFO - Epoch(train) [2][2400/4451] lr: 7.9262e-02 eta: 3:21:13 time: 0.3187 data_time: 0.0119 memory: 8510 grad_norm: 0.1858 loss: 0.0667 recall@thr=0.5: 0.5161 prec@thr=0.5: 0.5887 recall@top3: 0.6194 prec@top3: 0.5376 recall@top5: 0.7882 prec@top5: 0.4194 loss_action_cls: 0.0667 2022/12/03 18:01:35 - mmengine - INFO - Epoch(train) [2][2420/4451] lr: 7.9464e-02 eta: 3:21:07 time: 0.3207 data_time: 0.0103 memory: 8510 grad_norm: 0.1686 loss: 0.0604 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7407 recall@top3: 0.9583 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.4333 loss_action_cls: 0.0604 2022/12/03 18:01:41 - mmengine - INFO - Epoch(train) [2][2440/4451] lr: 7.9666e-02 eta: 3:21:00 time: 0.3196 data_time: 0.0114 memory: 8510 grad_norm: 0.1713 loss: 0.0728 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.5417 recall@top3: 0.7604 prec@top3: 0.4792 recall@top5: 0.8854 prec@top5: 0.3500 loss_action_cls: 0.0728 2022/12/03 18:01:48 - mmengine - INFO - Epoch(train) [2][2460/4451] lr: 7.9869e-02 eta: 3:20:54 time: 0.3208 data_time: 0.0113 memory: 8510 grad_norm: 0.1609 loss: 0.0612 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6288 recall@top3: 0.6525 prec@top3: 0.5556 recall@top5: 0.7707 prec@top5: 0.4000 loss_action_cls: 0.0612 2022/12/03 18:01:54 - mmengine - INFO - Epoch(train) [2][2480/4451] lr: 8.0071e-02 eta: 3:20:47 time: 0.3194 data_time: 0.0095 memory: 8510 grad_norm: 0.1665 loss: 0.0656 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6667 recall@top3: 0.7368 prec@top3: 0.4561 recall@top5: 0.9211 prec@top5: 0.3474 loss_action_cls: 0.0656 2022/12/03 18:02:00 - mmengine - INFO - Epoch(train) [2][2500/4451] lr: 8.0273e-02 eta: 3:20:41 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1775 loss: 0.0696 recall@thr=0.5: 0.4464 prec@thr=0.5: 0.7143 recall@top3: 0.8929 prec@top3: 0.7857 recall@top5: 0.9643 prec@top5: 0.5286 loss_action_cls: 0.0696 2022/12/03 18:02:07 - mmengine - INFO - Epoch(train) [2][2520/4451] lr: 8.0475e-02 eta: 3:20:34 time: 0.3187 data_time: 0.0103 memory: 8510 grad_norm: 0.1634 loss: 0.0611 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7083 recall@top3: 0.9333 prec@top3: 0.6111 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0611 2022/12/03 18:02:13 - mmengine - INFO - Epoch(train) [2][2540/4451] lr: 8.0677e-02 eta: 3:20:28 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1660 loss: 0.0601 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.7803 recall@top3: 0.8258 prec@top3: 0.6515 recall@top5: 0.8485 prec@top5: 0.4000 loss_action_cls: 0.0601 2022/12/03 18:02:16 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:02:20 - mmengine - INFO - Epoch(train) [2][2560/4451] lr: 8.0880e-02 eta: 3:20:21 time: 0.3198 data_time: 0.0097 memory: 8510 grad_norm: 0.1707 loss: 0.0618 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.4902 recall@top3: 0.7451 prec@top3: 0.4706 recall@top5: 0.9118 prec@top5: 0.3647 loss_action_cls: 0.0618 2022/12/03 18:02:26 - mmengine - INFO - Epoch(train) [2][2580/4451] lr: 8.1082e-02 eta: 3:20:15 time: 0.3195 data_time: 0.0110 memory: 8510 grad_norm: 0.1681 loss: 0.0673 recall@thr=0.5: 0.5412 prec@thr=0.5: 0.6618 recall@top3: 0.7275 prec@top3: 0.6569 recall@top5: 0.9201 prec@top5: 0.5000 loss_action_cls: 0.0673 2022/12/03 18:02:32 - mmengine - INFO - Epoch(train) [2][2600/4451] lr: 8.1284e-02 eta: 3:20:09 time: 0.3204 data_time: 0.0104 memory: 8510 grad_norm: 0.1622 loss: 0.0621 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7059 recall@top3: 0.8725 prec@top3: 0.4902 recall@top5: 0.9020 prec@top5: 0.3059 loss_action_cls: 0.0621 2022/12/03 18:02:39 - mmengine - INFO - Epoch(train) [2][2620/4451] lr: 8.1486e-02 eta: 3:20:02 time: 0.3191 data_time: 0.0105 memory: 8510 grad_norm: 0.1788 loss: 0.0660 recall@thr=0.5: 0.4561 prec@thr=0.5: 0.5702 recall@top3: 0.7193 prec@top3: 0.5439 recall@top5: 0.8860 prec@top5: 0.4211 loss_action_cls: 0.0660 2022/12/03 18:02:45 - mmengine - INFO - Epoch(train) [2][2640/4451] lr: 8.1689e-02 eta: 3:19:55 time: 0.3194 data_time: 0.0108 memory: 8510 grad_norm: 0.1642 loss: 0.0650 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.6705 recall@top3: 0.8561 prec@top3: 0.6515 recall@top5: 0.9242 prec@top5: 0.4273 loss_action_cls: 0.0650 2022/12/03 18:02:52 - mmengine - INFO - Epoch(train) [2][2660/4451] lr: 8.1891e-02 eta: 3:19:49 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.1668 loss: 0.0579 recall@thr=0.5: 0.4733 prec@thr=0.5: 0.6000 recall@top3: 0.6133 prec@top3: 0.5467 recall@top5: 0.8000 prec@top5: 0.4320 loss_action_cls: 0.0579 2022/12/03 18:02:58 - mmengine - INFO - Epoch(train) [2][2680/4451] lr: 8.2093e-02 eta: 3:19:43 time: 0.3194 data_time: 0.0099 memory: 8510 grad_norm: 0.1654 loss: 0.0678 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7549 recall@top3: 0.8431 prec@top3: 0.5882 recall@top5: 0.9510 prec@top5: 0.4118 loss_action_cls: 0.0678 2022/12/03 18:03:04 - mmengine - INFO - Epoch(train) [2][2700/4451] lr: 8.2295e-02 eta: 3:19:36 time: 0.3178 data_time: 0.0099 memory: 8510 grad_norm: 0.1721 loss: 0.0609 recall@thr=0.5: 0.3981 prec@thr=0.5: 0.7222 recall@top3: 0.6713 prec@top3: 0.5185 recall@top5: 0.8380 prec@top5: 0.4111 loss_action_cls: 0.0609 2022/12/03 18:03:11 - mmengine - INFO - Epoch(train) [2][2720/4451] lr: 8.2497e-02 eta: 3:19:29 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1671 loss: 0.0652 recall@thr=0.5: 0.5343 prec@thr=0.5: 0.5882 recall@top3: 0.9069 prec@top3: 0.6275 recall@top5: 0.9265 prec@top5: 0.3882 loss_action_cls: 0.0652 2022/12/03 18:03:17 - mmengine - INFO - Epoch(train) [2][2740/4451] lr: 8.2700e-02 eta: 3:19:23 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1581 loss: 0.0705 recall@thr=0.5: 0.5275 prec@thr=0.5: 0.6884 recall@top3: 0.7174 prec@top3: 0.6087 recall@top5: 0.8978 prec@top5: 0.4870 loss_action_cls: 0.0705 2022/12/03 18:03:24 - mmengine - INFO - Epoch(train) [2][2760/4451] lr: 8.2902e-02 eta: 3:19:16 time: 0.3194 data_time: 0.0099 memory: 8510 grad_norm: 0.1737 loss: 0.0655 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.5556 recall@top3: 0.6747 prec@top3: 0.4949 recall@top5: 0.8611 prec@top5: 0.4121 loss_action_cls: 0.0655 2022/12/03 18:03:30 - mmengine - INFO - Epoch(train) [2][2780/4451] lr: 8.3104e-02 eta: 3:19:10 time: 0.3195 data_time: 0.0101 memory: 8510 grad_norm: 0.1728 loss: 0.0703 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.5444 recall@top3: 0.8556 prec@top3: 0.5333 recall@top5: 0.8778 prec@top5: 0.3333 loss_action_cls: 0.0703 2022/12/03 18:03:36 - mmengine - INFO - Epoch(train) [2][2800/4451] lr: 8.3306e-02 eta: 3:19:03 time: 0.3191 data_time: 0.0100 memory: 8510 grad_norm: 0.1682 loss: 0.0667 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.5333 recall@top5: 0.9778 prec@top5: 0.4000 loss_action_cls: 0.0667 2022/12/03 18:03:43 - mmengine - INFO - Epoch(train) [2][2820/4451] lr: 8.3509e-02 eta: 3:18:57 time: 0.3194 data_time: 0.0106 memory: 8510 grad_norm: 0.1727 loss: 0.0658 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.5882 recall@top3: 0.8137 prec@top3: 0.6863 recall@top5: 0.8824 prec@top5: 0.4471 loss_action_cls: 0.0658 2022/12/03 18:03:49 - mmengine - INFO - Epoch(train) [2][2840/4451] lr: 8.3711e-02 eta: 3:18:50 time: 0.3192 data_time: 0.0096 memory: 8510 grad_norm: 0.1706 loss: 0.0639 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.6795 recall@top3: 0.8141 prec@top3: 0.5256 recall@top5: 0.9038 prec@top5: 0.3692 loss_action_cls: 0.0639 2022/12/03 18:03:55 - mmengine - INFO - Epoch(train) [2][2860/4451] lr: 8.3913e-02 eta: 3:18:44 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1672 loss: 0.0675 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5741 recall@top3: 0.7824 prec@top3: 0.5556 recall@top5: 0.8519 prec@top5: 0.3778 loss_action_cls: 0.0675 2022/12/03 18:04:02 - mmengine - INFO - Epoch(train) [2][2880/4451] lr: 8.4115e-02 eta: 3:18:37 time: 0.3196 data_time: 0.0118 memory: 8510 grad_norm: 0.1676 loss: 0.0576 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.6667 recall@top3: 0.8241 prec@top3: 0.4259 recall@top5: 0.8241 prec@top5: 0.2556 loss_action_cls: 0.0576 2022/12/03 18:04:08 - mmengine - INFO - Epoch(train) [2][2900/4451] lr: 8.4317e-02 eta: 3:18:31 time: 0.3185 data_time: 0.0103 memory: 8510 grad_norm: 0.1757 loss: 0.0623 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.5175 recall@top3: 0.6228 prec@top3: 0.4211 recall@top5: 0.6842 prec@top5: 0.2842 loss_action_cls: 0.0623 2022/12/03 18:04:15 - mmengine - INFO - Epoch(train) [2][2920/4451] lr: 8.4520e-02 eta: 3:18:24 time: 0.3204 data_time: 0.0111 memory: 8510 grad_norm: 0.1669 loss: 0.0613 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.6176 recall@top3: 0.5686 prec@top3: 0.4510 recall@top5: 0.7451 prec@top5: 0.3647 loss_action_cls: 0.0613 2022/12/03 18:04:21 - mmengine - INFO - Epoch(train) [2][2940/4451] lr: 8.4722e-02 eta: 3:18:18 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.1629 loss: 0.0623 recall@thr=0.5: 0.4919 prec@thr=0.5: 0.5860 recall@top3: 0.7204 prec@top3: 0.6344 recall@top5: 0.9328 prec@top5: 0.4903 loss_action_cls: 0.0623 2022/12/03 18:04:27 - mmengine - INFO - Epoch(train) [2][2960/4451] lr: 8.4924e-02 eta: 3:18:11 time: 0.3179 data_time: 0.0100 memory: 8510 grad_norm: 0.1734 loss: 0.0643 recall@thr=0.5: 0.4382 prec@thr=0.5: 0.5054 recall@top3: 0.8763 prec@top3: 0.6237 recall@top5: 0.9597 prec@top5: 0.4323 loss_action_cls: 0.0643 2022/12/03 18:04:34 - mmengine - INFO - Epoch(train) [2][2980/4451] lr: 8.5126e-02 eta: 3:18:05 time: 0.3195 data_time: 0.0115 memory: 8510 grad_norm: 0.1667 loss: 0.0640 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6140 recall@top3: 0.8158 prec@top3: 0.5088 recall@top5: 1.0000 prec@top5: 0.3789 loss_action_cls: 0.0640 2022/12/03 18:04:40 - mmengine - INFO - Epoch(train) [2][3000/4451] lr: 8.5329e-02 eta: 3:17:58 time: 0.3196 data_time: 0.0098 memory: 8510 grad_norm: 0.1609 loss: 0.0589 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6275 recall@top3: 0.7353 prec@top3: 0.4902 recall@top5: 0.9118 prec@top5: 0.3765 loss_action_cls: 0.0589 2022/12/03 18:04:47 - mmengine - INFO - Epoch(train) [2][3020/4451] lr: 8.5531e-02 eta: 3:17:52 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.1637 loss: 0.0628 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8095 recall@top3: 0.8651 prec@top3: 0.7143 recall@top5: 0.9365 prec@top5: 0.4762 loss_action_cls: 0.0628 2022/12/03 18:04:53 - mmengine - INFO - Epoch(train) [2][3040/4451] lr: 8.5733e-02 eta: 3:17:45 time: 0.3187 data_time: 0.0099 memory: 8510 grad_norm: 0.1550 loss: 0.0627 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.4479 recall@top3: 0.6562 prec@top3: 0.4375 recall@top5: 0.8438 prec@top5: 0.3250 loss_action_cls: 0.0627 2022/12/03 18:04:59 - mmengine - INFO - Epoch(train) [2][3060/4451] lr: 8.5935e-02 eta: 3:17:39 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1614 loss: 0.0574 recall@thr=0.5: 0.4674 prec@thr=0.5: 0.5303 recall@top3: 0.7659 prec@top3: 0.5152 recall@top5: 0.8735 prec@top5: 0.3727 loss_action_cls: 0.0574 2022/12/03 18:05:06 - mmengine - INFO - Epoch(train) [2][3080/4451] lr: 8.6138e-02 eta: 3:17:32 time: 0.3188 data_time: 0.0101 memory: 8510 grad_norm: 0.1653 loss: 0.0669 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7315 recall@top3: 0.7778 prec@top3: 0.6296 recall@top5: 0.9537 prec@top5: 0.4778 loss_action_cls: 0.0669 2022/12/03 18:05:12 - mmengine - INFO - Epoch(train) [2][3100/4451] lr: 8.6340e-02 eta: 3:17:25 time: 0.3190 data_time: 0.0102 memory: 8510 grad_norm: 0.1697 loss: 0.0575 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5000 recall@top3: 0.8542 prec@top3: 0.5625 recall@top5: 0.9375 prec@top5: 0.3875 loss_action_cls: 0.0575 2022/12/03 18:05:19 - mmengine - INFO - Epoch(train) [2][3120/4451] lr: 8.6542e-02 eta: 3:17:19 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1585 loss: 0.0614 recall@thr=0.5: 0.5906 prec@thr=0.5: 0.7507 recall@top3: 0.7652 prec@top3: 0.6957 recall@top5: 0.9348 prec@top5: 0.5391 loss_action_cls: 0.0614 2022/12/03 18:05:25 - mmengine - INFO - Epoch(train) [2][3140/4451] lr: 8.6744e-02 eta: 3:17:13 time: 0.3196 data_time: 0.0105 memory: 8510 grad_norm: 0.1703 loss: 0.0667 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.4687 recall@top3: 0.8125 prec@top3: 0.4792 recall@top5: 0.8750 prec@top5: 0.3000 loss_action_cls: 0.0667 2022/12/03 18:05:31 - mmengine - INFO - Epoch(train) [2][3160/4451] lr: 8.6946e-02 eta: 3:17:06 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.1658 loss: 0.0670 recall@thr=0.5: 0.3775 prec@thr=0.5: 0.5490 recall@top3: 0.5990 prec@top3: 0.5098 recall@top5: 0.8529 prec@top5: 0.4588 loss_action_cls: 0.0670 2022/12/03 18:05:38 - mmengine - INFO - Epoch(train) [2][3180/4451] lr: 8.7149e-02 eta: 3:17:00 time: 0.3196 data_time: 0.0108 memory: 8510 grad_norm: 0.1702 loss: 0.0571 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.8413 recall@top3: 0.7579 prec@top3: 0.6508 recall@top5: 0.9881 prec@top5: 0.5238 loss_action_cls: 0.0571 2022/12/03 18:05:44 - mmengine - INFO - Epoch(train) [2][3200/4451] lr: 8.7351e-02 eta: 3:16:53 time: 0.3185 data_time: 0.0099 memory: 8510 grad_norm: 0.1541 loss: 0.0687 recall@thr=0.5: 0.4405 prec@thr=0.5: 0.3929 recall@top3: 0.7976 prec@top3: 0.4762 recall@top5: 0.8214 prec@top5: 0.3000 loss_action_cls: 0.0687 2022/12/03 18:05:50 - mmengine - INFO - Epoch(train) [2][3220/4451] lr: 8.7553e-02 eta: 3:16:46 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1602 loss: 0.0634 recall@thr=0.5: 0.5040 prec@thr=0.5: 0.7143 recall@top3: 0.7381 prec@top3: 0.5714 recall@top5: 0.7976 prec@top5: 0.3810 loss_action_cls: 0.0634 2022/12/03 18:05:57 - mmengine - INFO - Epoch(train) [2][3240/4451] lr: 8.7755e-02 eta: 3:16:40 time: 0.3194 data_time: 0.0098 memory: 8510 grad_norm: 0.1728 loss: 0.0558 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.8269 recall@top3: 0.9487 prec@top3: 0.6923 recall@top5: 1.0000 prec@top5: 0.4462 loss_action_cls: 0.0558 2022/12/03 18:06:03 - mmengine - INFO - Epoch(train) [2][3260/4451] lr: 8.7958e-02 eta: 3:16:34 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1607 loss: 0.0588 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6953 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.9115 prec@top5: 0.4312 loss_action_cls: 0.0588 2022/12/03 18:06:10 - mmengine - INFO - Epoch(train) [2][3280/4451] lr: 8.8160e-02 eta: 3:16:27 time: 0.3191 data_time: 0.0100 memory: 8510 grad_norm: 0.1615 loss: 0.0611 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7895 recall@top3: 0.8421 prec@top3: 0.7018 recall@top5: 0.9868 prec@top5: 0.5158 loss_action_cls: 0.0611 2022/12/03 18:06:16 - mmengine - INFO - Epoch(train) [2][3300/4451] lr: 8.8362e-02 eta: 3:16:20 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1563 loss: 0.0634 recall@thr=0.5: 0.4915 prec@thr=0.5: 0.7051 recall@top3: 0.7474 prec@top3: 0.7179 recall@top5: 0.8756 prec@top5: 0.5179 loss_action_cls: 0.0634 2022/12/03 18:06:22 - mmengine - INFO - Epoch(train) [2][3320/4451] lr: 8.8564e-02 eta: 3:16:14 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.1635 loss: 0.0631 recall@thr=0.5: 0.6327 prec@thr=0.5: 0.8590 recall@top3: 0.6776 prec@top3: 0.6538 recall@top5: 0.7846 prec@top5: 0.4692 loss_action_cls: 0.0631 2022/12/03 18:06:29 - mmengine - INFO - Epoch(train) [2][3340/4451] lr: 8.8766e-02 eta: 3:16:08 time: 0.3201 data_time: 0.0104 memory: 8510 grad_norm: 0.1705 loss: 0.0577 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.5217 recall@top3: 0.7536 prec@top3: 0.5217 recall@top5: 0.8261 prec@top5: 0.3478 loss_action_cls: 0.0577 2022/12/03 18:06:35 - mmengine - INFO - Epoch(train) [2][3360/4451] lr: 8.8969e-02 eta: 3:16:01 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1580 loss: 0.0642 recall@thr=0.5: 0.6098 prec@thr=0.5: 0.7652 recall@top3: 0.7008 prec@top3: 0.7121 recall@top5: 0.9091 prec@top5: 0.5636 loss_action_cls: 0.0642 2022/12/03 18:06:42 - mmengine - INFO - Epoch(train) [2][3380/4451] lr: 8.9171e-02 eta: 3:15:55 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1544 loss: 0.0605 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6389 recall@top3: 0.7593 prec@top3: 0.5000 recall@top5: 0.8981 prec@top5: 0.3556 loss_action_cls: 0.0605 2022/12/03 18:06:48 - mmengine - INFO - Epoch(train) [2][3400/4451] lr: 8.9373e-02 eta: 3:15:48 time: 0.3199 data_time: 0.0097 memory: 8510 grad_norm: 0.1529 loss: 0.0611 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6896 recall@top3: 0.6875 prec@top3: 0.6042 recall@top5: 0.7812 prec@top5: 0.4375 loss_action_cls: 0.0611 2022/12/03 18:06:54 - mmengine - INFO - Epoch(train) [2][3420/4451] lr: 8.9575e-02 eta: 3:15:42 time: 0.3206 data_time: 0.0106 memory: 8510 grad_norm: 0.1591 loss: 0.0763 recall@thr=0.5: 0.3643 prec@thr=0.5: 0.5476 recall@top3: 0.5744 prec@top3: 0.5119 recall@top5: 0.8048 prec@top5: 0.4143 loss_action_cls: 0.0763 2022/12/03 18:07:01 - mmengine - INFO - Epoch(train) [2][3440/4451] lr: 8.9778e-02 eta: 3:15:35 time: 0.3190 data_time: 0.0104 memory: 8510 grad_norm: 0.1594 loss: 0.0619 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.6875 recall@top3: 0.8403 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3750 loss_action_cls: 0.0619 2022/12/03 18:07:07 - mmengine - INFO - Epoch(train) [2][3460/4451] lr: 8.9980e-02 eta: 3:15:29 time: 0.3202 data_time: 0.0110 memory: 8510 grad_norm: 0.1582 loss: 0.0600 recall@thr=0.5: 0.6242 prec@thr=0.5: 0.6136 recall@top3: 0.7318 prec@top3: 0.6515 recall@top5: 0.8773 prec@top5: 0.4727 loss_action_cls: 0.0600 2022/12/03 18:07:14 - mmengine - INFO - Epoch(train) [2][3480/4451] lr: 9.0182e-02 eta: 3:15:22 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.1533 loss: 0.0598 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.7976 recall@top3: 0.8690 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0598 2022/12/03 18:07:20 - mmengine - INFO - Epoch(train) [2][3500/4451] lr: 9.0384e-02 eta: 3:15:16 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.1590 loss: 0.0712 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.6930 recall@top3: 0.8553 prec@top3: 0.6667 recall@top5: 0.9518 prec@top5: 0.4526 loss_action_cls: 0.0712 2022/12/03 18:07:26 - mmengine - INFO - Epoch(train) [2][3520/4451] lr: 9.0586e-02 eta: 3:15:10 time: 0.3204 data_time: 0.0107 memory: 8510 grad_norm: 0.1606 loss: 0.0673 recall@thr=0.5: 0.8392 prec@thr=0.5: 0.8627 recall@top3: 0.8941 prec@top3: 0.7451 recall@top5: 0.9608 prec@top5: 0.5059 loss_action_cls: 0.0673 2022/12/03 18:07:33 - mmengine - INFO - Epoch(train) [2][3540/4451] lr: 9.0789e-02 eta: 3:15:03 time: 0.3203 data_time: 0.0115 memory: 8510 grad_norm: 0.1645 loss: 0.0595 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8056 recall@top3: 0.7778 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.4000 loss_action_cls: 0.0595 2022/12/03 18:07:36 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:07:39 - mmengine - INFO - Epoch(train) [2][3560/4451] lr: 9.0991e-02 eta: 3:14:57 time: 0.3205 data_time: 0.0107 memory: 8510 grad_norm: 0.1550 loss: 0.0613 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5357 recall@top3: 0.7262 prec@top3: 0.5000 recall@top5: 0.8929 prec@top5: 0.3857 loss_action_cls: 0.0613 2022/12/03 18:07:46 - mmengine - INFO - Epoch(train) [2][3580/4451] lr: 9.1193e-02 eta: 3:14:50 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1630 loss: 0.0625 recall@thr=0.5: 0.8230 prec@thr=0.5: 0.8571 recall@top3: 0.8825 prec@top3: 0.5238 recall@top5: 0.9254 prec@top5: 0.3524 loss_action_cls: 0.0625 2022/12/03 18:07:52 - mmengine - INFO - Epoch(train) [2][3600/4451] lr: 9.1395e-02 eta: 3:14:44 time: 0.3192 data_time: 0.0098 memory: 8510 grad_norm: 0.1567 loss: 0.0648 recall@thr=0.5: 0.5133 prec@thr=0.5: 0.5800 recall@top3: 0.7533 prec@top3: 0.6133 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0648 2022/12/03 18:07:58 - mmengine - INFO - Epoch(train) [2][3620/4451] lr: 9.1598e-02 eta: 3:14:37 time: 0.3194 data_time: 0.0104 memory: 8510 grad_norm: 0.1690 loss: 0.0580 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6458 recall@top3: 0.7639 prec@top3: 0.5000 recall@top5: 0.9236 prec@top5: 0.3500 loss_action_cls: 0.0580 2022/12/03 18:08:05 - mmengine - INFO - Epoch(train) [2][3640/4451] lr: 9.1800e-02 eta: 3:14:31 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.1596 loss: 0.0598 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.7368 recall@top3: 0.8421 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.5368 loss_action_cls: 0.0598 2022/12/03 18:08:11 - mmengine - INFO - Epoch(train) [2][3660/4451] lr: 9.2002e-02 eta: 3:14:24 time: 0.3202 data_time: 0.0107 memory: 8510 grad_norm: 0.1537 loss: 0.0627 recall@thr=0.5: 0.3906 prec@thr=0.5: 0.4896 recall@top3: 0.8073 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0627 2022/12/03 18:08:18 - mmengine - INFO - Epoch(train) [2][3680/4451] lr: 9.2204e-02 eta: 3:14:18 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1581 loss: 0.0612 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.5942 recall@top3: 0.8406 prec@top3: 0.5217 recall@top5: 0.8696 prec@top5: 0.3304 loss_action_cls: 0.0612 2022/12/03 18:08:24 - mmengine - INFO - Epoch(train) [2][3700/4451] lr: 9.2406e-02 eta: 3:14:12 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1623 loss: 0.0627 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7424 recall@top3: 0.7614 prec@top3: 0.6667 recall@top5: 0.8371 prec@top5: 0.4545 loss_action_cls: 0.0627 2022/12/03 18:08:31 - mmengine - INFO - Epoch(train) [2][3720/4451] lr: 9.2609e-02 eta: 3:14:05 time: 0.3197 data_time: 0.0115 memory: 8510 grad_norm: 0.1590 loss: 0.0542 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6627 recall@top3: 0.7937 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.3905 loss_action_cls: 0.0542 2022/12/03 18:08:37 - mmengine - INFO - Epoch(train) [2][3740/4451] lr: 9.2811e-02 eta: 3:13:59 time: 0.3202 data_time: 0.0108 memory: 8510 grad_norm: 0.1590 loss: 0.0657 recall@thr=0.5: 0.4679 prec@thr=0.5: 0.5513 recall@top3: 0.6538 prec@top3: 0.6154 recall@top5: 0.8269 prec@top5: 0.4846 loss_action_cls: 0.0657 2022/12/03 18:08:43 - mmengine - INFO - Epoch(train) [2][3760/4451] lr: 9.3013e-02 eta: 3:13:52 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.1609 loss: 0.0546 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.5937 recall@top3: 0.8958 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0546 2022/12/03 18:08:50 - mmengine - INFO - Epoch(train) [2][3780/4451] lr: 9.3215e-02 eta: 3:13:46 time: 0.3190 data_time: 0.0107 memory: 8510 grad_norm: 0.1538 loss: 0.0532 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7899 recall@top3: 0.8478 prec@top3: 0.6667 recall@top5: 0.9565 prec@top5: 0.4609 loss_action_cls: 0.0532 2022/12/03 18:08:56 - mmengine - INFO - Epoch(train) [2][3800/4451] lr: 9.3418e-02 eta: 3:13:39 time: 0.3196 data_time: 0.0098 memory: 8510 grad_norm: 0.1614 loss: 0.0630 recall@thr=0.5: 0.6615 prec@thr=0.5: 0.6987 recall@top3: 0.7449 prec@top3: 0.7308 recall@top5: 0.9038 prec@top5: 0.5462 loss_action_cls: 0.0630 2022/12/03 18:09:02 - mmengine - INFO - Epoch(train) [2][3820/4451] lr: 9.3620e-02 eta: 3:13:33 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.1673 loss: 0.0649 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5208 recall@top3: 0.6875 prec@top3: 0.5972 recall@top5: 0.9028 prec@top5: 0.4667 loss_action_cls: 0.0649 2022/12/03 18:09:09 - mmengine - INFO - Epoch(train) [2][3840/4451] lr: 9.3822e-02 eta: 3:13:26 time: 0.3192 data_time: 0.0131 memory: 8510 grad_norm: 0.1590 loss: 0.0605 recall@thr=0.5: 0.4697 prec@thr=0.5: 0.5758 recall@top3: 0.6856 prec@top3: 0.5455 recall@top5: 0.7689 prec@top5: 0.3727 loss_action_cls: 0.0605 2022/12/03 18:09:15 - mmengine - INFO - Epoch(train) [2][3860/4451] lr: 9.4024e-02 eta: 3:13:20 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.1603 loss: 0.0550 recall@thr=0.5: 0.5267 prec@thr=0.5: 0.6333 recall@top3: 0.7100 prec@top3: 0.5333 recall@top5: 0.8067 prec@top5: 0.3840 loss_action_cls: 0.0550 2022/12/03 18:09:22 - mmengine - INFO - Epoch(train) [2][3880/4451] lr: 9.4226e-02 eta: 3:13:13 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.1539 loss: 0.0565 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.5417 recall@top3: 0.6667 prec@top3: 0.5000 recall@top5: 0.8333 prec@top5: 0.3750 loss_action_cls: 0.0565 2022/12/03 18:09:28 - mmengine - INFO - Epoch(train) [2][3900/4451] lr: 9.4429e-02 eta: 3:13:07 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1513 loss: 0.0632 recall@thr=0.5: 0.4881 prec@thr=0.5: 0.5635 recall@top3: 0.6984 prec@top3: 0.4286 recall@top5: 0.7619 prec@top5: 0.2857 loss_action_cls: 0.0632 2022/12/03 18:09:34 - mmengine - INFO - Epoch(train) [2][3920/4451] lr: 9.4631e-02 eta: 3:13:00 time: 0.3209 data_time: 0.0102 memory: 8510 grad_norm: 0.1576 loss: 0.0586 recall@thr=0.5: 0.2024 prec@thr=0.5: 0.5714 recall@top3: 0.7857 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0586 2022/12/03 18:09:41 - mmengine - INFO - Epoch(train) [2][3940/4451] lr: 9.4833e-02 eta: 3:12:54 time: 0.3194 data_time: 0.0112 memory: 8510 grad_norm: 0.1588 loss: 0.0647 recall@thr=0.5: 0.6719 prec@thr=0.5: 0.6250 recall@top3: 0.8073 prec@top3: 0.6354 recall@top5: 0.8984 prec@top5: 0.4375 loss_action_cls: 0.0647 2022/12/03 18:09:47 - mmengine - INFO - Epoch(train) [2][3960/4451] lr: 9.5035e-02 eta: 3:12:47 time: 0.3202 data_time: 0.0119 memory: 8510 grad_norm: 0.1527 loss: 0.0567 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8208 recall@top3: 0.9583 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0567 2022/12/03 18:09:54 - mmengine - INFO - Epoch(train) [2][3980/4451] lr: 9.5238e-02 eta: 3:12:41 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1580 loss: 0.0586 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.6314 recall@top3: 0.8141 prec@top3: 0.7308 recall@top5: 0.8846 prec@top5: 0.4846 loss_action_cls: 0.0586 2022/12/03 18:10:00 - mmengine - INFO - Epoch(train) [2][4000/4451] lr: 9.5440e-02 eta: 3:12:35 time: 0.3192 data_time: 0.0105 memory: 8510 grad_norm: 0.1575 loss: 0.0623 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.6754 recall@top3: 0.8158 prec@top3: 0.6140 recall@top5: 0.8684 prec@top5: 0.4000 loss_action_cls: 0.0623 2022/12/03 18:10:06 - mmengine - INFO - Epoch(train) [2][4020/4451] lr: 9.5642e-02 eta: 3:12:28 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1515 loss: 0.0596 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6167 recall@top3: 0.6667 prec@top3: 0.5167 recall@top5: 0.8083 prec@top5: 0.3900 loss_action_cls: 0.0596 2022/12/03 18:10:13 - mmengine - INFO - Epoch(train) [2][4040/4451] lr: 9.5844e-02 eta: 3:12:22 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1498 loss: 0.0662 recall@thr=0.5: 0.4786 prec@thr=0.5: 0.6548 recall@top3: 0.6917 prec@top3: 0.5952 recall@top5: 0.8250 prec@top5: 0.4357 loss_action_cls: 0.0662 2022/12/03 18:10:19 - mmengine - INFO - Epoch(train) [2][4060/4451] lr: 9.6047e-02 eta: 3:12:15 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1581 loss: 0.0634 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.8571 recall@top3: 0.8373 prec@top3: 0.5397 recall@top5: 0.9524 prec@top5: 0.3810 loss_action_cls: 0.0634 2022/12/03 18:10:26 - mmengine - INFO - Epoch(train) [2][4080/4451] lr: 9.6249e-02 eta: 3:12:09 time: 0.3217 data_time: 0.0102 memory: 8510 grad_norm: 0.1589 loss: 0.0560 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.7754 recall@top3: 0.8551 prec@top3: 0.6667 recall@top5: 0.9348 prec@top5: 0.4348 loss_action_cls: 0.0560 2022/12/03 18:10:32 - mmengine - INFO - Epoch(train) [2][4100/4451] lr: 9.6451e-02 eta: 3:12:02 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.1511 loss: 0.0592 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7778 recall@top3: 0.8175 prec@top3: 0.5873 recall@top5: 0.9603 prec@top5: 0.4286 loss_action_cls: 0.0592 2022/12/03 18:10:39 - mmengine - INFO - Epoch(train) [2][4120/4451] lr: 9.6653e-02 eta: 3:11:56 time: 0.3200 data_time: 0.0109 memory: 8510 grad_norm: 0.1613 loss: 0.0622 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6741 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 0.8611 prec@top5: 0.3556 loss_action_cls: 0.0622 2022/12/03 18:10:45 - mmengine - INFO - Epoch(train) [2][4140/4451] lr: 9.6855e-02 eta: 3:11:50 time: 0.3194 data_time: 0.0109 memory: 8510 grad_norm: 0.1630 loss: 0.0557 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5119 recall@top3: 0.9286 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0557 2022/12/03 18:10:51 - mmengine - INFO - Epoch(train) [2][4160/4451] lr: 9.7058e-02 eta: 3:11:43 time: 0.3208 data_time: 0.0120 memory: 8510 grad_norm: 0.1549 loss: 0.0623 recall@thr=0.5: 0.7032 prec@thr=0.5: 0.7885 recall@top3: 0.7160 prec@top3: 0.6923 recall@top5: 0.8660 prec@top5: 0.5154 loss_action_cls: 0.0623 2022/12/03 18:10:58 - mmengine - INFO - Epoch(train) [2][4180/4451] lr: 9.7260e-02 eta: 3:11:37 time: 0.3197 data_time: 0.0106 memory: 8510 grad_norm: 0.1527 loss: 0.0579 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.6346 recall@top3: 0.7083 prec@top3: 0.4872 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0579 2022/12/03 18:11:04 - mmengine - INFO - Epoch(train) [2][4200/4451] lr: 9.7462e-02 eta: 3:11:30 time: 0.3188 data_time: 0.0100 memory: 8510 grad_norm: 0.1523 loss: 0.0590 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6377 recall@top3: 0.8007 prec@top3: 0.5797 recall@top5: 0.8370 prec@top5: 0.3652 loss_action_cls: 0.0590 2022/12/03 18:11:10 - mmengine - INFO - Epoch(train) [2][4220/4451] lr: 9.7664e-02 eta: 3:11:24 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1655 loss: 0.0649 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6875 recall@top3: 0.8854 prec@top3: 0.6250 recall@top5: 0.9792 prec@top5: 0.4250 loss_action_cls: 0.0649 2022/12/03 18:11:17 - mmengine - INFO - Epoch(train) [2][4240/4451] lr: 9.7867e-02 eta: 3:11:17 time: 0.3197 data_time: 0.0106 memory: 8510 grad_norm: 0.1520 loss: 0.0617 recall@thr=0.5: 0.3036 prec@thr=0.5: 0.4643 recall@top3: 0.7857 prec@top3: 0.4405 recall@top5: 0.9167 prec@top5: 0.3071 loss_action_cls: 0.0617 2022/12/03 18:11:23 - mmengine - INFO - Epoch(train) [2][4260/4451] lr: 9.8069e-02 eta: 3:11:11 time: 0.3195 data_time: 0.0096 memory: 8510 grad_norm: 0.1599 loss: 0.0597 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.6747 recall@top3: 0.8833 prec@top3: 0.7200 recall@top5: 0.9367 prec@top5: 0.4640 loss_action_cls: 0.0597 2022/12/03 18:11:30 - mmengine - INFO - Epoch(train) [2][4280/4451] lr: 9.8271e-02 eta: 3:11:04 time: 0.3197 data_time: 0.0098 memory: 8510 grad_norm: 0.1642 loss: 0.0637 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.4352 recall@top3: 0.6759 prec@top3: 0.3889 recall@top5: 0.8889 prec@top5: 0.3000 loss_action_cls: 0.0637 2022/12/03 18:11:36 - mmengine - INFO - Epoch(train) [2][4300/4451] lr: 9.8473e-02 eta: 3:10:58 time: 0.3195 data_time: 0.0103 memory: 8510 grad_norm: 0.1588 loss: 0.0567 recall@thr=0.5: 0.6280 prec@thr=0.5: 0.6637 recall@top3: 0.7440 prec@top3: 0.6786 recall@top5: 0.9018 prec@top5: 0.5214 loss_action_cls: 0.0567 2022/12/03 18:11:42 - mmengine - INFO - Epoch(train) [2][4320/4451] lr: 9.8675e-02 eta: 3:10:51 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1472 loss: 0.0652 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.4815 recall@top3: 0.5093 prec@top3: 0.4444 recall@top5: 0.7778 prec@top5: 0.4222 loss_action_cls: 0.0652 2022/12/03 18:11:49 - mmengine - INFO - Epoch(train) [2][4340/4451] lr: 9.8878e-02 eta: 3:10:45 time: 0.3187 data_time: 0.0098 memory: 8510 grad_norm: 0.1517 loss: 0.0630 recall@thr=0.5: 0.8509 prec@thr=0.5: 0.8298 recall@top3: 0.8860 prec@top3: 0.7895 recall@top5: 0.9737 prec@top5: 0.5263 loss_action_cls: 0.0630 2022/12/03 18:11:55 - mmengine - INFO - Epoch(train) [2][4360/4451] lr: 9.9080e-02 eta: 3:10:38 time: 0.3202 data_time: 0.0105 memory: 8510 grad_norm: 0.1478 loss: 0.0554 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.8269 recall@top3: 0.6923 prec@top3: 0.5769 recall@top5: 0.8974 prec@top5: 0.4692 loss_action_cls: 0.0554 2022/12/03 18:12:02 - mmengine - INFO - Epoch(train) [2][4380/4451] lr: 9.9282e-02 eta: 3:10:32 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.1629 loss: 0.0577 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8417 recall@top3: 0.8333 prec@top3: 0.6333 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0577 2022/12/03 18:12:08 - mmengine - INFO - Epoch(train) [2][4400/4451] lr: 9.9484e-02 eta: 3:10:25 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.1478 loss: 0.0620 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7407 recall@top3: 0.7685 prec@top3: 0.6296 recall@top5: 0.8796 prec@top5: 0.4222 loss_action_cls: 0.0620 2022/12/03 18:12:14 - mmengine - INFO - Epoch(train) [2][4420/4451] lr: 9.9687e-02 eta: 3:10:19 time: 0.3207 data_time: 0.0098 memory: 8510 grad_norm: 0.1581 loss: 0.0617 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7187 recall@top3: 0.7188 prec@top3: 0.4583 recall@top5: 0.8438 prec@top5: 0.3375 loss_action_cls: 0.0617 2022/12/03 18:12:21 - mmengine - INFO - Epoch(train) [2][4440/4451] lr: 9.9889e-02 eta: 3:10:13 time: 0.3185 data_time: 0.0102 memory: 8510 grad_norm: 0.1530 loss: 0.0558 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.7000 recall@top3: 0.7222 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.3867 loss_action_cls: 0.0558 2022/12/03 18:12:24 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:12:24 - mmengine - INFO - Epoch(train) [2][4451/4451] lr: 1.0000e-01 eta: 3:10:09 time: 0.3130 data_time: 0.0098 memory: 8510 grad_norm: 0.1551 loss: 0.0542 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.8397 recall@top3: 0.8173 prec@top3: 0.7051 recall@top5: 0.9423 prec@top5: 0.5077 loss_action_cls: 0.0542 2022/12/03 18:12:24 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/12/03 18:12:30 - mmengine - INFO - Epoch(val) [2][ 20/6282] eta: 0:04:21 time: 0.0418 data_time: 0.0072 memory: 661 2022/12/03 18:12:30 - mmengine - INFO - Epoch(val) [2][ 40/6282] eta: 0:04:06 time: 0.0372 data_time: 0.0041 memory: 661 2022/12/03 18:12:31 - mmengine - INFO - Epoch(val) [2][ 60/6282] eta: 0:04:05 time: 0.0392 data_time: 0.0061 memory: 661 2022/12/03 18:12:32 - mmengine - INFO - Epoch(val) [2][ 80/6282] eta: 0:04:00 time: 0.0368 data_time: 0.0033 memory: 661 2022/12/03 18:12:33 - mmengine - INFO - Epoch(val) [2][ 100/6282] eta: 0:03:57 time: 0.0373 data_time: 0.0042 memory: 661 2022/12/03 18:12:33 - mmengine - INFO - Epoch(val) [2][ 120/6282] eta: 0:04:05 time: 0.0472 data_time: 0.0041 memory: 732 2022/12/03 18:12:34 - mmengine - INFO - Epoch(val) [2][ 140/6282] eta: 0:04:13 time: 0.0496 data_time: 0.0048 memory: 732 2022/12/03 18:12:36 - mmengine - INFO - Epoch(val) [2][ 160/6282] eta: 0:04:19 time: 0.0506 data_time: 0.0049 memory: 732 2022/12/03 18:12:37 - mmengine - INFO - Epoch(val) [2][ 180/6282] eta: 0:04:25 time: 0.0521 data_time: 0.0045 memory: 732 2022/12/03 18:12:38 - mmengine - INFO - Epoch(val) [2][ 200/6282] eta: 0:04:29 time: 0.0509 data_time: 0.0062 memory: 732 2022/12/03 18:12:38 - mmengine - INFO - Epoch(val) [2][ 220/6282] eta: 0:04:27 time: 0.0431 data_time: 0.0042 memory: 674 2022/12/03 18:12:39 - mmengine - INFO - Epoch(val) [2][ 240/6282] eta: 0:04:25 time: 0.0421 data_time: 0.0044 memory: 674 2022/12/03 18:12:40 - mmengine - INFO - Epoch(val) [2][ 260/6282] eta: 0:04:24 time: 0.0442 data_time: 0.0067 memory: 674 2022/12/03 18:12:41 - mmengine - INFO - Epoch(val) [2][ 280/6282] eta: 0:04:22 time: 0.0415 data_time: 0.0041 memory: 674 2022/12/03 18:12:42 - mmengine - INFO - Epoch(val) [2][ 300/6282] eta: 0:04:22 time: 0.0439 data_time: 0.0052 memory: 732 2022/12/03 18:12:43 - mmengine - INFO - Epoch(val) [2][ 320/6282] eta: 0:04:22 time: 0.0468 data_time: 0.0051 memory: 732 2022/12/03 18:12:44 - mmengine - INFO - Epoch(val) [2][ 340/6282] eta: 0:04:23 time: 0.0484 data_time: 0.0052 memory: 732 2022/12/03 18:12:45 - mmengine - INFO - Epoch(val) [2][ 360/6282] eta: 0:04:23 time: 0.0497 data_time: 0.0055 memory: 732 2022/12/03 18:12:46 - mmengine - INFO - Epoch(val) [2][ 380/6282] eta: 0:04:25 time: 0.0513 data_time: 0.0071 memory: 732 2022/12/03 18:12:47 - mmengine - INFO - Epoch(val) [2][ 400/6282] eta: 0:04:24 time: 0.0444 data_time: 0.0047 memory: 732 2022/12/03 18:12:48 - mmengine - INFO - Epoch(val) [2][ 420/6282] eta: 0:04:23 time: 0.0455 data_time: 0.0056 memory: 678 2022/12/03 18:12:49 - mmengine - INFO - Epoch(val) [2][ 440/6282] eta: 0:04:22 time: 0.0448 data_time: 0.0052 memory: 678 2022/12/03 18:12:49 - mmengine - INFO - Epoch(val) [2][ 460/6282] eta: 0:04:21 time: 0.0429 data_time: 0.0038 memory: 678 2022/12/03 18:12:50 - mmengine - INFO - Epoch(val) [2][ 480/6282] eta: 0:04:19 time: 0.0424 data_time: 0.0051 memory: 678 2022/12/03 18:12:51 - mmengine - INFO - Epoch(val) [2][ 500/6282] eta: 0:04:17 time: 0.0417 data_time: 0.0033 memory: 678 2022/12/03 18:12:52 - mmengine - INFO - Epoch(val) [2][ 520/6282] eta: 0:04:16 time: 0.0434 data_time: 0.0053 memory: 674 2022/12/03 18:12:53 - mmengine - INFO - Epoch(val) [2][ 540/6282] eta: 0:04:15 time: 0.0435 data_time: 0.0076 memory: 674 2022/12/03 18:12:54 - mmengine - INFO - Epoch(val) [2][ 560/6282] eta: 0:04:14 time: 0.0437 data_time: 0.0056 memory: 674 2022/12/03 18:12:55 - mmengine - INFO - Epoch(val) [2][ 580/6282] eta: 0:04:14 time: 0.0465 data_time: 0.0080 memory: 674 2022/12/03 18:12:56 - mmengine - INFO - Epoch(val) [2][ 600/6282] eta: 0:04:14 time: 0.0505 data_time: 0.0063 memory: 674 2022/12/03 18:12:57 - mmengine - INFO - Epoch(val) [2][ 620/6282] eta: 0:04:15 time: 0.0539 data_time: 0.0096 memory: 674 2022/12/03 18:12:58 - mmengine - INFO - Epoch(val) [2][ 640/6282] eta: 0:04:15 time: 0.0549 data_time: 0.0102 memory: 670 2022/12/03 18:12:59 - mmengine - INFO - Epoch(val) [2][ 660/6282] eta: 0:04:16 time: 0.0531 data_time: 0.0067 memory: 670 2022/12/03 18:13:00 - mmengine - INFO - Epoch(val) [2][ 680/6282] eta: 0:04:16 time: 0.0531 data_time: 0.0082 memory: 670 2022/12/03 18:13:01 - mmengine - INFO - Epoch(val) [2][ 700/6282] eta: 0:04:16 time: 0.0494 data_time: 0.0061 memory: 670 2022/12/03 18:13:02 - mmengine - INFO - Epoch(val) [2][ 720/6282] eta: 0:04:15 time: 0.0482 data_time: 0.0058 memory: 732 2022/12/03 18:13:03 - mmengine - INFO - Epoch(val) [2][ 740/6282] eta: 0:04:15 time: 0.0496 data_time: 0.0060 memory: 732 2022/12/03 18:13:04 - mmengine - INFO - Epoch(val) [2][ 760/6282] eta: 0:04:14 time: 0.0491 data_time: 0.0057 memory: 732 2022/12/03 18:13:05 - mmengine - INFO - Epoch(val) [2][ 780/6282] eta: 0:04:14 time: 0.0526 data_time: 0.0099 memory: 732 2022/12/03 18:13:06 - mmengine - INFO - Epoch(val) [2][ 800/6282] eta: 0:04:14 time: 0.0467 data_time: 0.0052 memory: 732 2022/12/03 18:13:07 - mmengine - INFO - Epoch(val) [2][ 820/6282] eta: 0:04:13 time: 0.0462 data_time: 0.0043 memory: 732 2022/12/03 18:13:08 - mmengine - INFO - Epoch(val) [2][ 840/6282] eta: 0:04:12 time: 0.0461 data_time: 0.0069 memory: 674 2022/12/03 18:13:09 - mmengine - INFO - Epoch(val) [2][ 860/6282] eta: 0:04:10 time: 0.0431 data_time: 0.0040 memory: 674 2022/12/03 18:13:09 - mmengine - INFO - Epoch(val) [2][ 880/6282] eta: 0:04:09 time: 0.0431 data_time: 0.0065 memory: 674 2022/12/03 18:13:10 - mmengine - INFO - Epoch(val) [2][ 900/6282] eta: 0:04:08 time: 0.0436 data_time: 0.0046 memory: 674 2022/12/03 18:13:11 - mmengine - INFO - Epoch(val) [2][ 920/6282] eta: 0:04:06 time: 0.0395 data_time: 0.0042 memory: 674 2022/12/03 18:13:12 - mmengine - INFO - Epoch(val) [2][ 940/6282] eta: 0:04:04 time: 0.0401 data_time: 0.0031 memory: 661 2022/12/03 18:13:13 - mmengine - INFO - Epoch(val) [2][ 960/6282] eta: 0:04:03 time: 0.0430 data_time: 0.0058 memory: 661 2022/12/03 18:13:14 - mmengine - INFO - Epoch(val) [2][ 980/6282] eta: 0:04:02 time: 0.0411 data_time: 0.0046 memory: 661 2022/12/03 18:13:14 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:04:00 time: 0.0410 data_time: 0.0039 memory: 661 2022/12/03 18:13:15 - mmengine - INFO - Epoch(val) [2][1020/6282] eta: 0:03:59 time: 0.0394 data_time: 0.0047 memory: 674 2022/12/03 18:13:16 - mmengine - INFO - Epoch(val) [2][1040/6282] eta: 0:03:58 time: 0.0443 data_time: 0.0051 memory: 674 2022/12/03 18:13:17 - mmengine - INFO - Epoch(val) [2][1060/6282] eta: 0:03:57 time: 0.0461 data_time: 0.0060 memory: 674 2022/12/03 18:13:18 - mmengine - INFO - Epoch(val) [2][1080/6282] eta: 0:03:56 time: 0.0468 data_time: 0.0078 memory: 674 2022/12/03 18:13:19 - mmengine - INFO - Epoch(val) [2][1100/6282] eta: 0:03:56 time: 0.0514 data_time: 0.0067 memory: 674 2022/12/03 18:13:20 - mmengine - INFO - Epoch(val) [2][1120/6282] eta: 0:03:55 time: 0.0518 data_time: 0.0083 memory: 674 2022/12/03 18:13:21 - mmengine - INFO - Epoch(val) [2][1140/6282] eta: 0:03:56 time: 0.0601 data_time: 0.0092 memory: 674 2022/12/03 18:13:22 - mmengine - INFO - Epoch(val) [2][1160/6282] eta: 0:03:55 time: 0.0500 data_time: 0.0060 memory: 674 2022/12/03 18:13:23 - mmengine - INFO - Epoch(val) [2][1180/6282] eta: 0:03:55 time: 0.0572 data_time: 0.0100 memory: 674 2022/12/03 18:13:24 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:03:55 time: 0.0526 data_time: 0.0089 memory: 674 2022/12/03 18:13:26 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:03:55 time: 0.0583 data_time: 0.0088 memory: 674 2022/12/03 18:13:27 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:03:55 time: 0.0585 data_time: 0.0083 memory: 732 2022/12/03 18:13:28 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:03:55 time: 0.0626 data_time: 0.0079 memory: 732 2022/12/03 18:13:29 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:03:56 time: 0.0640 data_time: 0.0089 memory: 732 2022/12/03 18:13:30 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:03:55 time: 0.0508 data_time: 0.0061 memory: 732 2022/12/03 18:13:31 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:03:55 time: 0.0573 data_time: 0.0074 memory: 732 2022/12/03 18:13:32 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:03:54 time: 0.0453 data_time: 0.0038 memory: 732 2022/12/03 18:13:33 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:03:53 time: 0.0505 data_time: 0.0053 memory: 732 2022/12/03 18:13:34 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:03:52 time: 0.0444 data_time: 0.0049 memory: 732 2022/12/03 18:13:35 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:03:51 time: 0.0468 data_time: 0.0050 memory: 732 2022/12/03 18:13:36 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:03:50 time: 0.0461 data_time: 0.0057 memory: 732 2022/12/03 18:13:37 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:03:49 time: 0.0432 data_time: 0.0043 memory: 732 2022/12/03 18:13:38 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:03:47 time: 0.0425 data_time: 0.0038 memory: 732 2022/12/03 18:13:39 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:03:46 time: 0.0443 data_time: 0.0047 memory: 732 2022/12/03 18:13:40 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:03:45 time: 0.0443 data_time: 0.0039 memory: 732 2022/12/03 18:13:41 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:03:44 time: 0.0474 data_time: 0.0047 memory: 819 2022/12/03 18:13:42 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:03:43 time: 0.0504 data_time: 0.0038 memory: 819 2022/12/03 18:13:43 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:03:43 time: 0.0508 data_time: 0.0030 memory: 819 2022/12/03 18:13:44 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:03:42 time: 0.0502 data_time: 0.0039 memory: 819 2022/12/03 18:13:45 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:03:41 time: 0.0482 data_time: 0.0027 memory: 819 2022/12/03 18:13:46 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:03:40 time: 0.0488 data_time: 0.0032 memory: 819 2022/12/03 18:13:46 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:03:39 time: 0.0434 data_time: 0.0041 memory: 732 2022/12/03 18:13:47 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:03:38 time: 0.0453 data_time: 0.0046 memory: 732 2022/12/03 18:13:48 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:03:37 time: 0.0527 data_time: 0.0059 memory: 732 2022/12/03 18:13:49 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:03:37 time: 0.0548 data_time: 0.0065 memory: 732 2022/12/03 18:13:51 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:03:36 time: 0.0554 data_time: 0.0079 memory: 732 2022/12/03 18:13:52 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:03:36 time: 0.0515 data_time: 0.0068 memory: 732 2022/12/03 18:13:53 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:03:35 time: 0.0502 data_time: 0.0054 memory: 732 2022/12/03 18:13:54 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:03:34 time: 0.0542 data_time: 0.0078 memory: 732 2022/12/03 18:13:55 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:03:33 time: 0.0530 data_time: 0.0052 memory: 732 2022/12/03 18:13:56 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:03:33 time: 0.0535 data_time: 0.0055 memory: 732 2022/12/03 18:13:57 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:03:32 time: 0.0547 data_time: 0.0058 memory: 732 2022/12/03 18:13:58 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:03:31 time: 0.0495 data_time: 0.0052 memory: 732 2022/12/03 18:13:59 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:03:30 time: 0.0489 data_time: 0.0046 memory: 732 2022/12/03 18:14:00 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:03:29 time: 0.0495 data_time: 0.0053 memory: 732 2022/12/03 18:14:01 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:03:29 time: 0.0526 data_time: 0.0070 memory: 732 2022/12/03 18:14:02 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:03:28 time: 0.0467 data_time: 0.0054 memory: 732 2022/12/03 18:14:03 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:03:27 time: 0.0441 data_time: 0.0057 memory: 678 2022/12/03 18:14:04 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:03:26 time: 0.0457 data_time: 0.0051 memory: 678 2022/12/03 18:14:05 - mmengine - INFO - Epoch(val) 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0:03:15 time: 0.0436 data_time: 0.0054 memory: 674 2022/12/03 18:14:12 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:03:14 time: 0.0439 data_time: 0.0060 memory: 674 2022/12/03 18:14:13 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:03:13 time: 0.0464 data_time: 0.0062 memory: 674 2022/12/03 18:14:14 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:03:12 time: 0.0423 data_time: 0.0039 memory: 674 2022/12/03 18:14:15 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:03:11 time: 0.0450 data_time: 0.0056 memory: 674 2022/12/03 18:14:16 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:03:10 time: 0.0439 data_time: 0.0063 memory: 678 2022/12/03 18:14:17 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:03:09 time: 0.0439 data_time: 0.0062 memory: 678 2022/12/03 18:14:18 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:03:08 time: 0.0456 data_time: 0.0056 memory: 678 2022/12/03 18:14:19 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:03:07 time: 0.0441 data_time: 0.0061 memory: 678 2022/12/03 18:14:20 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:03:06 time: 0.0508 data_time: 0.0051 memory: 678 2022/12/03 18:14:21 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:03:05 time: 0.0488 data_time: 0.0070 memory: 674 2022/12/03 18:14:22 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:03:04 time: 0.0517 data_time: 0.0073 memory: 674 2022/12/03 18:14:23 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:03:03 time: 0.0477 data_time: 0.0072 memory: 674 2022/12/03 18:14:24 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:03:02 time: 0.0476 data_time: 0.0056 memory: 674 2022/12/03 18:14:24 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:03:01 time: 0.0462 data_time: 0.0086 memory: 674 2022/12/03 18:14:26 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:03:01 time: 0.0525 data_time: 0.0058 memory: 732 2022/12/03 18:14:27 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:03:00 time: 0.0521 data_time: 0.0076 memory: 732 2022/12/03 18:14:28 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:02:59 time: 0.0495 data_time: 0.0063 memory: 732 2022/12/03 18:14:29 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:02:58 time: 0.0502 data_time: 0.0067 memory: 732 2022/12/03 18:14:30 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:02:57 time: 0.0542 data_time: 0.0056 memory: 732 2022/12/03 18:14:31 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:02:56 time: 0.0496 data_time: 0.0064 memory: 732 2022/12/03 18:14:32 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:02:56 time: 0.0514 data_time: 0.0074 memory: 732 2022/12/03 18:14:33 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:02:55 time: 0.0485 data_time: 0.0054 memory: 732 2022/12/03 18:14:34 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:02:54 time: 0.0538 data_time: 0.0050 memory: 732 2022/12/03 18:14:35 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:02:53 time: 0.0497 data_time: 0.0055 memory: 732 2022/12/03 18:14:36 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:02:52 time: 0.0512 data_time: 0.0027 memory: 811 2022/12/03 18:14:37 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:02:51 time: 0.0550 data_time: 0.0051 memory: 811 2022/12/03 18:14:38 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:02:51 time: 0.0558 data_time: 0.0052 memory: 811 2022/12/03 18:14:39 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:02:50 time: 0.0504 data_time: 0.0037 memory: 811 2022/12/03 18:14:40 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:02:49 time: 0.0553 data_time: 0.0064 memory: 811 2022/12/03 18:14:41 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:02:48 time: 0.0417 data_time: 0.0049 memory: 678 2022/12/03 18:14:42 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:02:47 time: 0.0417 data_time: 0.0062 memory: 678 2022/12/03 18:14:43 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:02:46 time: 0.0403 data_time: 0.0052 memory: 678 2022/12/03 18:14:43 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:02:44 time: 0.0396 data_time: 0.0053 memory: 678 2022/12/03 18:14:44 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:02:43 time: 0.0412 data_time: 0.0043 memory: 678 2022/12/03 18:14:45 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:02:42 time: 0.0413 data_time: 0.0035 memory: 732 2022/12/03 18:14:46 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:02:41 time: 0.0476 data_time: 0.0054 memory: 732 2022/12/03 18:14:47 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:02:40 time: 0.0492 data_time: 0.0050 memory: 732 2022/12/03 18:14:48 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:02:39 time: 0.0454 data_time: 0.0044 memory: 732 2022/12/03 18:14:49 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:02:38 time: 0.0415 data_time: 0.0040 memory: 701 2022/12/03 18:14:50 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:02:37 time: 0.0439 data_time: 0.0053 memory: 701 2022/12/03 18:14:50 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:02:36 time: 0.0420 data_time: 0.0037 memory: 701 2022/12/03 18:14:51 - mmengine - INFO - Epoch(val) [2][3000/6282] eta: 0:02:35 time: 0.0424 data_time: 0.0036 memory: 701 2022/12/03 18:14:52 - mmengine - INFO - Epoch(val) [2][3020/6282] eta: 0:02:34 time: 0.0465 data_time: 0.0056 memory: 732 2022/12/03 18:14:53 - mmengine - INFO - Epoch(val) [2][3040/6282] eta: 0:02:33 time: 0.0473 data_time: 0.0065 memory: 732 2022/12/03 18:14:54 - mmengine - INFO - Epoch(val) [2][3060/6282] eta: 0:02:32 time: 0.0444 data_time: 0.0039 memory: 732 2022/12/03 18:14:55 - mmengine - INFO - Epoch(val) [2][3080/6282] eta: 0:02:31 time: 0.0480 data_time: 0.0056 memory: 732 2022/12/03 18:14:56 - mmengine - INFO - Epoch(val) [2][3100/6282] eta: 0:02:30 time: 0.0444 data_time: 0.0047 memory: 732 2022/12/03 18:14:57 - mmengine - INFO - Epoch(val) [2][3120/6282] eta: 0:02:29 time: 0.0446 data_time: 0.0060 memory: 678 2022/12/03 18:14:58 - mmengine - INFO - Epoch(val) [2][3140/6282] eta: 0:02:28 time: 0.0443 data_time: 0.0063 memory: 678 2022/12/03 18:14:59 - mmengine - INFO - Epoch(val) [2][3160/6282] eta: 0:02:27 time: 0.0447 data_time: 0.0048 memory: 678 2022/12/03 18:14:59 - mmengine - INFO - Epoch(val) [2][3180/6282] eta: 0:02:26 time: 0.0396 data_time: 0.0026 memory: 678 2022/12/03 18:15:00 - mmengine - INFO - Epoch(val) [2][3200/6282] eta: 0:02:25 time: 0.0468 data_time: 0.0076 memory: 732 2022/12/03 18:15:01 - mmengine - INFO - Epoch(val) [2][3220/6282] eta: 0:02:24 time: 0.0486 data_time: 0.0046 memory: 732 2022/12/03 18:15:02 - mmengine - INFO - Epoch(val) [2][3240/6282] eta: 0:02:23 time: 0.0488 data_time: 0.0046 memory: 732 2022/12/03 18:15:03 - mmengine - INFO - Epoch(val) [2][3260/6282] eta: 0:02:22 time: 0.0473 data_time: 0.0057 memory: 732 2022/12/03 18:15:04 - mmengine - INFO - Epoch(val) [2][3280/6282] eta: 0:02:21 time: 0.0462 data_time: 0.0037 memory: 732 2022/12/03 18:15:05 - mmengine - INFO - Epoch(val) [2][3300/6282] eta: 0:02:21 time: 0.0483 data_time: 0.0049 memory: 732 2022/12/03 18:15:06 - mmengine - INFO - Epoch(val) [2][3320/6282] eta: 0:02:20 time: 0.0462 data_time: 0.0045 memory: 732 2022/12/03 18:15:07 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:02:19 time: 0.0467 data_time: 0.0033 memory: 732 2022/12/03 18:15:08 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:02:18 time: 0.0496 data_time: 0.0044 memory: 732 2022/12/03 18:15:09 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:02:17 time: 0.0449 data_time: 0.0044 memory: 732 2022/12/03 18:15:10 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:02:16 time: 0.0426 data_time: 0.0060 memory: 674 2022/12/03 18:15:11 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:02:15 time: 0.0438 data_time: 0.0054 memory: 674 2022/12/03 18:15:11 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:02:14 time: 0.0428 data_time: 0.0052 memory: 674 2022/12/03 18:15:12 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:02:13 time: 0.0451 data_time: 0.0053 memory: 674 2022/12/03 18:15:13 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:02:12 time: 0.0442 data_time: 0.0075 memory: 674 2022/12/03 18:15:14 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:02:11 time: 0.0414 data_time: 0.0048 memory: 674 2022/12/03 18:15:15 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:02:10 time: 0.0423 data_time: 0.0048 memory: 674 2022/12/03 18:15:16 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:02:09 time: 0.0440 data_time: 0.0072 memory: 674 2022/12/03 18:15:17 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:02:08 time: 0.0438 data_time: 0.0046 memory: 674 2022/12/03 18:15:18 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:02:07 time: 0.0474 data_time: 0.0057 memory: 715 2022/12/03 18:15:19 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:02:06 time: 0.0475 data_time: 0.0060 memory: 715 2022/12/03 18:15:19 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:02:05 time: 0.0458 data_time: 0.0039 memory: 715 2022/12/03 18:15:20 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:02:04 time: 0.0468 data_time: 0.0052 memory: 715 2022/12/03 18:15:21 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:02:03 time: 0.0462 data_time: 0.0062 memory: 715 2022/12/03 18:15:22 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:02:02 time: 0.0472 data_time: 0.0050 memory: 732 2022/12/03 18:15:23 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:02:01 time: 0.0474 data_time: 0.0052 memory: 732 2022/12/03 18:15:24 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:02:00 time: 0.0468 data_time: 0.0034 memory: 732 2022/12/03 18:15:25 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:01:59 time: 0.0470 data_time: 0.0054 memory: 732 2022/12/03 18:15:26 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:01:58 time: 0.0479 data_time: 0.0052 memory: 732 2022/12/03 18:15:27 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:01:57 time: 0.0457 data_time: 0.0038 memory: 732 2022/12/03 18:15:28 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:01:56 time: 0.0452 data_time: 0.0047 memory: 732 2022/12/03 18:15:29 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:01:55 time: 0.0437 data_time: 0.0037 memory: 732 2022/12/03 18:15:30 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:01:54 time: 0.0450 data_time: 0.0042 memory: 732 2022/12/03 18:15:31 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:01:53 time: 0.0451 data_time: 0.0046 memory: 732 2022/12/03 18:15:32 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:01:52 time: 0.0457 data_time: 0.0058 memory: 732 2022/12/03 18:15:32 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:01:51 time: 0.0465 data_time: 0.0043 memory: 732 2022/12/03 18:15:33 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:01:51 time: 0.0479 data_time: 0.0054 memory: 732 2022/12/03 18:15:34 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:01:50 time: 0.0471 data_time: 0.0066 memory: 732 2022/12/03 18:15:35 - mmengine - INFO - Epoch(val) 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0:01:41 time: 0.0485 data_time: 0.0034 memory: 811 2022/12/03 18:15:44 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:01:40 time: 0.0485 data_time: 0.0051 memory: 811 2022/12/03 18:15:45 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:01:39 time: 0.0392 data_time: 0.0040 memory: 674 2022/12/03 18:15:46 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:01:38 time: 0.0402 data_time: 0.0047 memory: 674 2022/12/03 18:15:46 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:01:37 time: 0.0419 data_time: 0.0049 memory: 674 2022/12/03 18:15:47 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:01:36 time: 0.0415 data_time: 0.0041 memory: 674 2022/12/03 18:15:48 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:01:35 time: 0.0420 data_time: 0.0049 memory: 674 2022/12/03 18:15:49 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:01:34 time: 0.0433 data_time: 0.0060 memory: 672 2022/12/03 18:15:50 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:01:33 time: 0.0417 data_time: 0.0062 memory: 672 2022/12/03 18:15:51 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:01:32 time: 0.0407 data_time: 0.0050 memory: 672 2022/12/03 18:15:51 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:01:31 time: 0.0399 data_time: 0.0040 memory: 672 2022/12/03 18:15:52 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:01:30 time: 0.0419 data_time: 0.0043 memory: 672 2022/12/03 18:15:53 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:01:29 time: 0.0450 data_time: 0.0048 memory: 732 2022/12/03 18:15:54 - mmengine - INFO - Epoch(val) [2][4380/6282] eta: 0:01:28 time: 0.0438 data_time: 0.0040 memory: 732 2022/12/03 18:15:55 - mmengine - INFO - Epoch(val) [2][4400/6282] eta: 0:01:27 time: 0.0432 data_time: 0.0039 memory: 732 2022/12/03 18:15:56 - mmengine - INFO - Epoch(val) [2][4420/6282] eta: 0:01:27 time: 0.0435 data_time: 0.0036 memory: 732 2022/12/03 18:15:57 - mmengine - INFO - Epoch(val) [2][4440/6282] eta: 0:01:26 time: 0.0450 data_time: 0.0036 memory: 739 2022/12/03 18:15:58 - mmengine - INFO - Epoch(val) [2][4460/6282] eta: 0:01:25 time: 0.0456 data_time: 0.0046 memory: 739 2022/12/03 18:15:58 - mmengine - INFO - Epoch(val) [2][4480/6282] eta: 0:01:24 time: 0.0486 data_time: 0.0049 memory: 739 2022/12/03 18:15:59 - mmengine - INFO - Epoch(val) [2][4500/6282] eta: 0:01:23 time: 0.0465 data_time: 0.0046 memory: 739 2022/12/03 18:16:00 - mmengine - INFO - Epoch(val) [2][4520/6282] eta: 0:01:22 time: 0.0465 data_time: 0.0058 memory: 739 2022/12/03 18:16:01 - mmengine - INFO - Epoch(val) [2][4540/6282] eta: 0:01:21 time: 0.0415 data_time: 0.0054 memory: 678 2022/12/03 18:16:02 - mmengine - INFO - Epoch(val) [2][4560/6282] eta: 0:01:20 time: 0.0413 data_time: 0.0064 memory: 678 2022/12/03 18:16:03 - mmengine - INFO - Epoch(val) [2][4580/6282] eta: 0:01:19 time: 0.0409 data_time: 0.0053 memory: 678 2022/12/03 18:16:04 - mmengine - INFO - Epoch(val) [2][4600/6282] eta: 0:01:18 time: 0.0380 data_time: 0.0036 memory: 678 2022/12/03 18:16:04 - mmengine - INFO - Epoch(val) [2][4620/6282] eta: 0:01:17 time: 0.0411 data_time: 0.0054 memory: 678 2022/12/03 18:16:05 - mmengine - INFO - Epoch(val) [2][4640/6282] eta: 0:01:16 time: 0.0465 data_time: 0.0051 memory: 739 2022/12/03 18:16:06 - mmengine - INFO - Epoch(val) [2][4660/6282] eta: 0:01:15 time: 0.0441 data_time: 0.0048 memory: 739 2022/12/03 18:16:07 - mmengine - INFO - Epoch(val) [2][4680/6282] eta: 0:01:14 time: 0.0445 data_time: 0.0035 memory: 739 2022/12/03 18:16:08 - mmengine - INFO - Epoch(val) [2][4700/6282] eta: 0:01:13 time: 0.0484 data_time: 0.0048 memory: 739 2022/12/03 18:16:09 - mmengine - INFO - Epoch(val) [2][4720/6282] eta: 0:01:12 time: 0.0454 data_time: 0.0041 memory: 739 2022/12/03 18:16:10 - mmengine - INFO - Epoch(val) [2][4740/6282] eta: 0:01:11 time: 0.0435 data_time: 0.0048 memory: 698 2022/12/03 18:16:11 - mmengine - INFO - Epoch(val) [2][4760/6282] eta: 0:01:10 time: 0.0434 data_time: 0.0064 memory: 698 2022/12/03 18:16:12 - mmengine - INFO - Epoch(val) [2][4780/6282] eta: 0:01:09 time: 0.0433 data_time: 0.0052 memory: 698 2022/12/03 18:16:13 - mmengine - INFO - Epoch(val) [2][4800/6282] eta: 0:01:08 time: 0.0445 data_time: 0.0054 memory: 698 2022/12/03 18:16:13 - mmengine - INFO - Epoch(val) [2][4820/6282] eta: 0:01:08 time: 0.0445 data_time: 0.0046 memory: 732 2022/12/03 18:16:14 - mmengine - INFO - Epoch(val) [2][4840/6282] eta: 0:01:07 time: 0.0470 data_time: 0.0037 memory: 732 2022/12/03 18:16:15 - mmengine - INFO - Epoch(val) [2][4860/6282] eta: 0:01:06 time: 0.0481 data_time: 0.0046 memory: 732 2022/12/03 18:16:16 - mmengine - INFO - Epoch(val) [2][4880/6282] eta: 0:01:05 time: 0.0477 data_time: 0.0059 memory: 732 2022/12/03 18:16:17 - mmengine - INFO - Epoch(val) [2][4900/6282] eta: 0:01:04 time: 0.0448 data_time: 0.0041 memory: 732 2022/12/03 18:16:18 - mmengine - INFO - Epoch(val) [2][4920/6282] eta: 0:01:03 time: 0.0475 data_time: 0.0048 memory: 735 2022/12/03 18:16:19 - mmengine - INFO - Epoch(val) 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data_time: 0.0054 memory: 672 2022/12/03 18:16:34 - mmengine - INFO - Epoch(val) [2][5280/6282] eta: 0:00:46 time: 0.0433 data_time: 0.0044 memory: 672 2022/12/03 18:16:35 - mmengine - INFO - Epoch(val) [2][5300/6282] eta: 0:00:45 time: 0.0432 data_time: 0.0044 memory: 672 2022/12/03 18:16:36 - mmengine - INFO - Epoch(val) [2][5320/6282] eta: 0:00:44 time: 0.0424 data_time: 0.0046 memory: 674 2022/12/03 18:16:37 - mmengine - INFO - Epoch(val) [2][5340/6282] eta: 0:00:43 time: 0.0398 data_time: 0.0037 memory: 674 2022/12/03 18:16:37 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:00:42 time: 0.0407 data_time: 0.0041 memory: 674 2022/12/03 18:16:38 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:00:41 time: 0.0411 data_time: 0.0051 memory: 674 2022/12/03 18:16:39 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:00:40 time: 0.0431 data_time: 0.0051 memory: 674 2022/12/03 18:16:40 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:00:39 time: 0.0440 data_time: 0.0070 memory: 674 2022/12/03 18:16:41 - mmengine - INFO - Epoch(val) [2][5440/6282] eta: 0:00:38 time: 0.0422 data_time: 0.0046 memory: 674 2022/12/03 18:16:42 - mmengine - INFO - Epoch(val) [2][5460/6282] eta: 0:00:37 time: 0.0437 data_time: 0.0056 memory: 674 2022/12/03 18:16:43 - mmengine - INFO - Epoch(val) [2][5480/6282] eta: 0:00:37 time: 0.0440 data_time: 0.0053 memory: 674 2022/12/03 18:16:43 - mmengine - INFO - Epoch(val) [2][5500/6282] eta: 0:00:36 time: 0.0443 data_time: 0.0061 memory: 674 2022/12/03 18:16:44 - mmengine - INFO - Epoch(val) [2][5520/6282] eta: 0:00:35 time: 0.0463 data_time: 0.0038 memory: 694 2022/12/03 18:16:45 - mmengine - INFO - Epoch(val) [2][5540/6282] eta: 0:00:34 time: 0.0462 data_time: 0.0042 memory: 694 2022/12/03 18:16:46 - mmengine - INFO - Epoch(val) [2][5560/6282] eta: 0:00:33 time: 0.0443 data_time: 0.0045 memory: 694 2022/12/03 18:16:47 - mmengine - INFO - Epoch(val) [2][5580/6282] eta: 0:00:32 time: 0.0441 data_time: 0.0041 memory: 694 2022/12/03 18:16:48 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:00:31 time: 0.0423 data_time: 0.0047 memory: 694 2022/12/03 18:16:49 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:00:30 time: 0.0410 data_time: 0.0046 memory: 694 2022/12/03 18:16:50 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:29 time: 0.0406 data_time: 0.0046 memory: 674 2022/12/03 18:16:50 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:28 time: 0.0397 data_time: 0.0040 memory: 674 2022/12/03 18:16:51 - mmengine - INFO - Epoch(val) [2][5680/6282] eta: 0:00:27 time: 0.0413 data_time: 0.0050 memory: 674 2022/12/03 18:16:52 - mmengine - INFO - Epoch(val) [2][5700/6282] eta: 0:00:26 time: 0.0401 data_time: 0.0045 memory: 674 2022/12/03 18:16:53 - mmengine - INFO - Epoch(val) [2][5720/6282] eta: 0:00:25 time: 0.0453 data_time: 0.0045 memory: 707 2022/12/03 18:16:54 - mmengine - INFO - Epoch(val) [2][5740/6282] eta: 0:00:24 time: 0.0418 data_time: 0.0040 memory: 707 2022/12/03 18:16:55 - mmengine - INFO - Epoch(val) [2][5760/6282] eta: 0:00:24 time: 0.0454 data_time: 0.0053 memory: 707 2022/12/03 18:16:56 - mmengine - INFO - Epoch(val) [2][5780/6282] eta: 0:00:23 time: 0.0427 data_time: 0.0052 memory: 707 2022/12/03 18:16:56 - mmengine - INFO - Epoch(val) [2][5800/6282] eta: 0:00:22 time: 0.0428 data_time: 0.0043 memory: 707 2022/12/03 18:16:57 - mmengine - INFO - Epoch(val) [2][5820/6282] eta: 0:00:21 time: 0.0429 data_time: 0.0058 memory: 707 2022/12/03 18:16:58 - mmengine - INFO - Epoch(val) [2][5840/6282] eta: 0:00:20 time: 0.0421 data_time: 0.0059 memory: 694 2022/12/03 18:16:59 - mmengine - INFO - Epoch(val) [2][5860/6282] eta: 0:00:19 time: 0.0398 data_time: 0.0043 memory: 694 2022/12/03 18:17:00 - mmengine - INFO - Epoch(val) [2][5880/6282] eta: 0:00:18 time: 0.0409 data_time: 0.0045 memory: 694 2022/12/03 18:17:00 - mmengine - INFO - Epoch(val) [2][5900/6282] eta: 0:00:17 time: 0.0389 data_time: 0.0048 memory: 694 2022/12/03 18:17:01 - mmengine - INFO - Epoch(val) 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0:00:09 time: 0.0337 data_time: 0.0018 memory: 732 2022/12/03 18:17:07 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:08 time: 0.0335 data_time: 0.0019 memory: 732 2022/12/03 18:17:08 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:07 time: 0.0330 data_time: 0.0017 memory: 732 2022/12/03 18:17:08 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:06 time: 0.0331 data_time: 0.0018 memory: 732 2022/12/03 18:17:09 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:05 time: 0.0330 data_time: 0.0017 memory: 732 2022/12/03 18:17:10 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:04 time: 0.0329 data_time: 0.0017 memory: 732 2022/12/03 18:17:10 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:03 time: 0.0329 data_time: 0.0017 memory: 732 2022/12/03 18:17:11 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:02 time: 0.0322 data_time: 0.0015 memory: 732 2022/12/03 18:17:12 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:01 time: 0.0322 data_time: 0.0014 memory: 732 2022/12/03 18:17:12 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:00 time: 0.0325 data_time: 0.0015 memory: 732 2022/12/03 18:17:13 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.0322 data_time: 0.0014 memory: 732 2022/12/03 18:22:01 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2585 2022/12/03 18:22:01 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_1.pth is removed 2022/12/03 18:22:04 - mmengine - INFO - The best checkpoint with 0.2585 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2022/12/03 18:22:10 - mmengine - INFO - Epoch(train) [3][ 20/4451] lr: 1.0000e-01 eta: 3:10:04 time: 0.3394 data_time: 0.0295 memory: 8510 grad_norm: 0.1573 loss: 0.0593 recall@thr=0.5: 0.6780 prec@thr=0.5: 0.8144 recall@top3: 0.7803 prec@top3: 0.6667 recall@top5: 0.8674 prec@top5: 0.4636 loss_action_cls: 0.0593 2022/12/03 18:22:17 - mmengine - INFO - Epoch(train) [3][ 40/4451] lr: 1.0000e-01 eta: 3:09:57 time: 0.3192 data_time: 0.0102 memory: 8510 grad_norm: 0.1611 loss: 0.0682 recall@thr=0.5: 0.7202 prec@thr=0.5: 0.7738 recall@top3: 0.8631 prec@top3: 0.7500 recall@top5: 0.9643 prec@top5: 0.5071 loss_action_cls: 0.0682 2022/12/03 18:22:23 - mmengine - INFO - Epoch(train) [3][ 60/4451] lr: 9.9999e-02 eta: 3:09:51 time: 0.3187 data_time: 0.0115 memory: 8510 grad_norm: 0.1518 loss: 0.0533 recall@thr=0.5: 0.5069 prec@thr=0.5: 0.5556 recall@top3: 0.7326 prec@top3: 0.5833 recall@top5: 0.9271 prec@top5: 0.4583 loss_action_cls: 0.0533 2022/12/03 18:22:30 - mmengine - INFO - Epoch(train) [3][ 80/4451] lr: 9.9999e-02 eta: 3:09:44 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1571 loss: 0.0559 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7773 recall@top3: 0.7767 prec@top3: 0.6000 recall@top5: 0.8733 prec@top5: 0.4240 loss_action_cls: 0.0559 2022/12/03 18:22:35 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:22:36 - mmengine - INFO - Epoch(train) [3][ 100/4451] lr: 9.9998e-02 eta: 3:09:38 time: 0.3193 data_time: 0.0105 memory: 8510 grad_norm: 0.1586 loss: 0.0580 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7063 recall@top3: 0.7825 prec@top3: 0.5397 recall@top5: 0.8833 prec@top5: 0.3905 loss_action_cls: 0.0580 2022/12/03 18:22:42 - mmengine - INFO - Epoch(train) [3][ 120/4451] lr: 9.9997e-02 eta: 3:09:31 time: 0.3194 data_time: 0.0112 memory: 8510 grad_norm: 0.1530 loss: 0.0608 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.5000 recall@top3: 0.5938 prec@top3: 0.4583 recall@top5: 0.7812 prec@top5: 0.3750 loss_action_cls: 0.0608 2022/12/03 18:22:49 - mmengine - INFO - Epoch(train) [3][ 140/4451] lr: 9.9996e-02 eta: 3:09:25 time: 0.3187 data_time: 0.0096 memory: 8510 grad_norm: 0.1564 loss: 0.0553 recall@thr=0.5: 0.4551 prec@thr=0.5: 0.6474 recall@top3: 0.6538 prec@top3: 0.5641 recall@top5: 0.8077 prec@top5: 0.4154 loss_action_cls: 0.0553 2022/12/03 18:22:55 - mmengine - INFO - Epoch(train) [3][ 160/4451] lr: 9.9995e-02 eta: 3:09:18 time: 0.3194 data_time: 0.0102 memory: 8510 grad_norm: 0.1588 loss: 0.0677 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6094 recall@top3: 0.8438 prec@top3: 0.6042 recall@top5: 0.9792 prec@top5: 0.4250 loss_action_cls: 0.0677 2022/12/03 18:23:01 - mmengine - INFO - Epoch(train) [3][ 180/4451] lr: 9.9994e-02 eta: 3:09:12 time: 0.3179 data_time: 0.0101 memory: 8510 grad_norm: 0.1582 loss: 0.0617 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7647 recall@top3: 0.8039 prec@top3: 0.6275 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0617 2022/12/03 18:23:08 - mmengine - INFO - Epoch(train) [3][ 200/4451] lr: 9.9992e-02 eta: 3:09:05 time: 0.3195 data_time: 0.0108 memory: 8510 grad_norm: 0.1545 loss: 0.0557 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4762 recall@top3: 0.6429 prec@top3: 0.4603 recall@top5: 0.8889 prec@top5: 0.3524 loss_action_cls: 0.0557 2022/12/03 18:23:14 - mmengine - INFO - Epoch(train) [3][ 220/4451] lr: 9.9991e-02 eta: 3:08:59 time: 0.3203 data_time: 0.0117 memory: 8510 grad_norm: 0.1587 loss: 0.0586 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.8090 recall@top3: 0.7083 prec@top3: 0.7500 recall@top5: 0.9201 prec@top5: 0.5833 loss_action_cls: 0.0586 2022/12/03 18:23:21 - mmengine - INFO - Epoch(train) [3][ 240/4451] lr: 9.9989e-02 eta: 3:08:52 time: 0.3196 data_time: 0.0103 memory: 8510 grad_norm: 0.1540 loss: 0.0594 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.5952 recall@top3: 0.5119 prec@top3: 0.3810 recall@top5: 0.7976 prec@top5: 0.3524 loss_action_cls: 0.0594 2022/12/03 18:23:27 - mmengine - INFO - Epoch(train) [3][ 260/4451] lr: 9.9987e-02 eta: 3:08:46 time: 0.3197 data_time: 0.0098 memory: 8510 grad_norm: 0.1624 loss: 0.0594 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.8971 recall@top3: 0.8186 prec@top3: 0.6667 recall@top5: 0.9314 prec@top5: 0.4706 loss_action_cls: 0.0594 2022/12/03 18:23:33 - mmengine - INFO - Epoch(train) [3][ 280/4451] lr: 9.9985e-02 eta: 3:08:39 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.1667 loss: 0.0526 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6562 recall@top3: 0.6562 prec@top3: 0.4792 recall@top5: 0.8229 prec@top5: 0.3625 loss_action_cls: 0.0526 2022/12/03 18:23:40 - mmengine - INFO - Epoch(train) [3][ 300/4451] lr: 9.9983e-02 eta: 3:08:33 time: 0.3198 data_time: 0.0108 memory: 8510 grad_norm: 0.1601 loss: 0.0553 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.5333 recall@top3: 0.6333 prec@top3: 0.4889 recall@top5: 0.8444 prec@top5: 0.4000 loss_action_cls: 0.0553 2022/12/03 18:23:46 - mmengine - INFO - Epoch(train) [3][ 320/4451] lr: 9.9980e-02 eta: 3:08:26 time: 0.3200 data_time: 0.0107 memory: 8510 grad_norm: 0.1540 loss: 0.0599 recall@thr=0.5: 0.6318 prec@thr=0.5: 0.8455 recall@top3: 0.7667 prec@top3: 0.7121 recall@top5: 0.8379 prec@top5: 0.4818 loss_action_cls: 0.0599 2022/12/03 18:23:53 - mmengine - INFO - Epoch(train) [3][ 340/4451] lr: 9.9978e-02 eta: 3:08:20 time: 0.3192 data_time: 0.0096 memory: 8510 grad_norm: 0.1608 loss: 0.0576 recall@thr=0.5: 0.5040 prec@thr=0.5: 0.7619 recall@top3: 0.7381 prec@top3: 0.6032 recall@top5: 0.9405 prec@top5: 0.4762 loss_action_cls: 0.0576 2022/12/03 18:23:59 - mmengine - INFO - Epoch(train) [3][ 360/4451] lr: 9.9975e-02 eta: 3:08:13 time: 0.3186 data_time: 0.0099 memory: 8510 grad_norm: 0.1580 loss: 0.0717 recall@thr=0.5: 0.3036 prec@thr=0.5: 0.4345 recall@top3: 0.5060 prec@top3: 0.3333 recall@top5: 0.7202 prec@top5: 0.2786 loss_action_cls: 0.0717 2022/12/03 18:24:05 - mmengine - INFO - Epoch(train) [3][ 380/4451] lr: 9.9972e-02 eta: 3:08:07 time: 0.3194 data_time: 0.0102 memory: 8510 grad_norm: 0.1508 loss: 0.0636 recall@thr=0.5: 0.3241 prec@thr=0.5: 0.4321 recall@top3: 0.5802 prec@top3: 0.5309 recall@top5: 0.8580 prec@top5: 0.4444 loss_action_cls: 0.0636 2022/12/03 18:24:12 - mmengine - INFO - Epoch(train) [3][ 400/4451] lr: 9.9969e-02 eta: 3:08:00 time: 0.3199 data_time: 0.0102 memory: 8510 grad_norm: 0.1494 loss: 0.0590 recall@thr=0.5: 0.4083 prec@thr=0.5: 0.5167 recall@top3: 0.7333 prec@top3: 0.5000 recall@top5: 0.8500 prec@top5: 0.3600 loss_action_cls: 0.0590 2022/12/03 18:24:18 - mmengine - INFO - Epoch(train) [3][ 420/4451] lr: 9.9966e-02 eta: 3:07:54 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1570 loss: 0.0621 recall@thr=0.5: 0.4083 prec@thr=0.5: 0.5958 recall@top3: 0.7667 prec@top3: 0.5833 recall@top5: 0.8833 prec@top5: 0.4000 loss_action_cls: 0.0621 2022/12/03 18:24:25 - mmengine - INFO - Epoch(train) [3][ 440/4451] lr: 9.9963e-02 eta: 3:07:47 time: 0.3198 data_time: 0.0120 memory: 8510 grad_norm: 0.1569 loss: 0.0542 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7153 recall@top3: 0.7639 prec@top3: 0.5278 recall@top5: 0.9097 prec@top5: 0.4000 loss_action_cls: 0.0542 2022/12/03 18:24:31 - mmengine - INFO - Epoch(train) [3][ 460/4451] lr: 9.9959e-02 eta: 3:07:41 time: 0.3203 data_time: 0.0104 memory: 8510 grad_norm: 0.1636 loss: 0.0618 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6389 recall@top3: 0.7963 prec@top3: 0.4074 recall@top5: 0.8333 prec@top5: 0.2667 loss_action_cls: 0.0618 2022/12/03 18:24:37 - mmengine - INFO - Epoch(train) [3][ 480/4451] lr: 9.9955e-02 eta: 3:07:34 time: 0.3190 data_time: 0.0104 memory: 8510 grad_norm: 0.1581 loss: 0.0465 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.9333 recall@top3: 0.8944 prec@top3: 0.9111 recall@top5: 0.9778 prec@top5: 0.6133 loss_action_cls: 0.0465 2022/12/03 18:24:44 - mmengine - INFO - Epoch(train) [3][ 500/4451] lr: 9.9952e-02 eta: 3:07:28 time: 0.3198 data_time: 0.0103 memory: 8510 grad_norm: 0.1551 loss: 0.0579 recall@thr=0.5: 0.7768 prec@thr=0.5: 0.7679 recall@top3: 0.8006 prec@top3: 0.6667 recall@top5: 0.9048 prec@top5: 0.4786 loss_action_cls: 0.0579 2022/12/03 18:24:50 - mmengine - INFO - Epoch(train) [3][ 520/4451] lr: 9.9948e-02 eta: 3:07:22 time: 0.3201 data_time: 0.0106 memory: 8510 grad_norm: 0.1518 loss: 0.0507 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7745 recall@top3: 0.8529 prec@top3: 0.7451 recall@top5: 0.9510 prec@top5: 0.5176 loss_action_cls: 0.0507 2022/12/03 18:24:56 - mmengine - INFO - Epoch(train) [3][ 540/4451] lr: 9.9943e-02 eta: 3:07:15 time: 0.3191 data_time: 0.0100 memory: 8510 grad_norm: 0.1591 loss: 0.0512 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5889 recall@top3: 0.7167 prec@top3: 0.6000 recall@top5: 0.8611 prec@top5: 0.4267 loss_action_cls: 0.0512 2022/12/03 18:25:03 - mmengine - INFO - Epoch(train) [3][ 560/4451] lr: 9.9939e-02 eta: 3:07:09 time: 0.3191 data_time: 0.0114 memory: 8510 grad_norm: 0.1484 loss: 0.0571 recall@thr=0.5: 0.5216 prec@thr=0.5: 0.4559 recall@top3: 0.6275 prec@top3: 0.4314 recall@top5: 0.8980 prec@top5: 0.3529 loss_action_cls: 0.0571 2022/12/03 18:25:09 - mmengine - INFO - Epoch(train) [3][ 580/4451] lr: 9.9935e-02 eta: 3:07:02 time: 0.3195 data_time: 0.0101 memory: 8510 grad_norm: 0.1589 loss: 0.0536 recall@thr=0.5: 0.5365 prec@thr=0.5: 0.5521 recall@top3: 0.6458 prec@top3: 0.4792 recall@top5: 0.8281 prec@top5: 0.3625 loss_action_cls: 0.0536 2022/12/03 18:25:16 - mmengine - INFO - Epoch(train) [3][ 600/4451] lr: 9.9930e-02 eta: 3:06:56 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1525 loss: 0.0599 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7857 recall@top3: 0.8310 prec@top3: 0.6667 recall@top5: 0.9024 prec@top5: 0.4714 loss_action_cls: 0.0599 2022/12/03 18:25:22 - mmengine - INFO - Epoch(train) [3][ 620/4451] lr: 9.9925e-02 eta: 3:06:49 time: 0.3205 data_time: 0.0112 memory: 8510 grad_norm: 0.1606 loss: 0.0602 recall@thr=0.5: 0.3810 prec@thr=0.5: 0.6667 recall@top3: 0.6310 prec@top3: 0.5714 recall@top5: 0.8333 prec@top5: 0.4714 loss_action_cls: 0.0602 2022/12/03 18:25:28 - mmengine - INFO - Epoch(train) [3][ 640/4451] lr: 9.9921e-02 eta: 3:06:43 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1497 loss: 0.0522 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8106 recall@top3: 0.7803 prec@top3: 0.5909 recall@top5: 0.8788 prec@top5: 0.4182 loss_action_cls: 0.0522 2022/12/03 18:25:35 - mmengine - INFO - Epoch(train) [3][ 660/4451] lr: 9.9916e-02 eta: 3:06:36 time: 0.3188 data_time: 0.0103 memory: 8510 grad_norm: 0.1570 loss: 0.0551 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.5833 recall@top3: 0.8352 prec@top3: 0.5556 recall@top5: 0.9130 prec@top5: 0.4000 loss_action_cls: 0.0551 2022/12/03 18:25:41 - mmengine - INFO - Epoch(train) [3][ 680/4451] lr: 9.9910e-02 eta: 3:06:30 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1546 loss: 0.0555 recall@thr=0.5: 0.2143 prec@thr=0.5: 0.2619 recall@top3: 0.5119 prec@top3: 0.3571 recall@top5: 0.7857 prec@top5: 0.3000 loss_action_cls: 0.0555 2022/12/03 18:25:48 - mmengine - INFO - Epoch(train) [3][ 700/4451] lr: 9.9905e-02 eta: 3:06:24 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.1497 loss: 0.0550 recall@thr=0.5: 0.2812 prec@thr=0.5: 0.4028 recall@top3: 0.5625 prec@top3: 0.4722 recall@top5: 0.8299 prec@top5: 0.4167 loss_action_cls: 0.0550 2022/12/03 18:25:54 - mmengine - INFO - Epoch(train) [3][ 720/4451] lr: 9.9899e-02 eta: 3:06:17 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1481 loss: 0.0623 recall@thr=0.5: 0.5180 prec@thr=0.5: 0.5270 recall@top3: 0.7275 prec@top3: 0.5135 recall@top5: 0.8356 prec@top5: 0.3676 loss_action_cls: 0.0623 2022/12/03 18:26:00 - mmengine - INFO - Epoch(train) [3][ 740/4451] lr: 9.9894e-02 eta: 3:06:11 time: 0.3196 data_time: 0.0112 memory: 8510 grad_norm: 0.1530 loss: 0.0612 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.7963 recall@top3: 0.7546 prec@top3: 0.7037 recall@top5: 0.9537 prec@top5: 0.5556 loss_action_cls: 0.0612 2022/12/03 18:26:07 - mmengine - INFO - Epoch(train) [3][ 760/4451] lr: 9.9888e-02 eta: 3:06:04 time: 0.3200 data_time: 0.0105 memory: 8510 grad_norm: 0.1537 loss: 0.0525 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6222 recall@top3: 0.8778 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0525 2022/12/03 18:26:13 - mmengine - INFO - Epoch(train) [3][ 780/4451] lr: 9.9882e-02 eta: 3:05:58 time: 0.3209 data_time: 0.0099 memory: 8510 grad_norm: 0.1524 loss: 0.0561 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.7292 recall@top3: 0.8458 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4800 loss_action_cls: 0.0561 2022/12/03 18:26:20 - mmengine - INFO - Epoch(train) [3][ 800/4451] lr: 9.9876e-02 eta: 3:05:51 time: 0.3193 data_time: 0.0108 memory: 8510 grad_norm: 0.1603 loss: 0.0516 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6316 recall@top3: 0.8158 prec@top3: 0.5263 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0516 2022/12/03 18:26:26 - mmengine - INFO - Epoch(train) [3][ 820/4451] lr: 9.9870e-02 eta: 3:05:45 time: 0.3203 data_time: 0.0106 memory: 8510 grad_norm: 0.1580 loss: 0.0634 recall@thr=0.5: 0.4219 prec@thr=0.5: 0.5078 recall@top3: 0.7812 prec@top3: 0.5208 recall@top5: 0.9141 prec@top5: 0.3812 loss_action_cls: 0.0634 2022/12/03 18:26:33 - mmengine - INFO - Epoch(train) [3][ 840/4451] lr: 9.9863e-02 eta: 3:05:39 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1479 loss: 0.0531 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7412 recall@top3: 0.7895 prec@top3: 0.5439 recall@top5: 0.9211 prec@top5: 0.4000 loss_action_cls: 0.0531 2022/12/03 18:26:39 - mmengine - INFO - Epoch(train) [3][ 860/4451] lr: 9.9856e-02 eta: 3:05:32 time: 0.3194 data_time: 0.0108 memory: 8510 grad_norm: 0.1577 loss: 0.0564 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.7105 recall@top3: 0.7456 prec@top3: 0.4386 recall@top5: 0.8289 prec@top5: 0.3158 loss_action_cls: 0.0564 2022/12/03 18:26:45 - mmengine - INFO - Epoch(train) [3][ 880/4451] lr: 9.9850e-02 eta: 3:05:26 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.1623 loss: 0.0609 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.8373 recall@top3: 0.6905 prec@top3: 0.6032 recall@top5: 0.8492 prec@top5: 0.4762 loss_action_cls: 0.0609 2022/12/03 18:26:52 - mmengine - INFO - Epoch(train) [3][ 900/4451] lr: 9.9843e-02 eta: 3:05:19 time: 0.3192 data_time: 0.0109 memory: 8510 grad_norm: 0.1498 loss: 0.0538 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7745 recall@top3: 0.9314 prec@top3: 0.6667 recall@top5: 0.9314 prec@top5: 0.4000 loss_action_cls: 0.0538 2022/12/03 18:26:58 - mmengine - INFO - Epoch(train) [3][ 920/4451] lr: 9.9836e-02 eta: 3:05:13 time: 0.3194 data_time: 0.0104 memory: 8510 grad_norm: 0.1602 loss: 0.0611 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7176 recall@top3: 0.8333 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0611 2022/12/03 18:27:04 - mmengine - INFO - Epoch(train) [3][ 940/4451] lr: 9.9829e-02 eta: 3:05:06 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1526 loss: 0.0516 recall@thr=0.5: 0.5387 prec@thr=0.5: 0.6131 recall@top3: 0.6964 prec@top3: 0.5238 recall@top5: 0.8839 prec@top5: 0.4000 loss_action_cls: 0.0516 2022/12/03 18:27:11 - mmengine - INFO - Epoch(train) [3][ 960/4451] lr: 9.9821e-02 eta: 3:05:00 time: 0.3197 data_time: 0.0098 memory: 8510 grad_norm: 0.1554 loss: 0.0533 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.4653 recall@top3: 0.6597 prec@top3: 0.5556 recall@top5: 0.7847 prec@top5: 0.4000 loss_action_cls: 0.0533 2022/12/03 18:27:17 - mmengine - INFO - Epoch(train) [3][ 980/4451] lr: 9.9814e-02 eta: 3:04:53 time: 0.3188 data_time: 0.0101 memory: 8510 grad_norm: 0.1547 loss: 0.0564 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.7246 recall@top3: 0.7174 prec@top3: 0.6377 recall@top5: 0.8659 prec@top5: 0.4435 loss_action_cls: 0.0564 2022/12/03 18:27:24 - mmengine - INFO - Epoch(train) [3][1000/4451] lr: 9.9806e-02 eta: 3:04:47 time: 0.3193 data_time: 0.0110 memory: 8510 grad_norm: 0.1470 loss: 0.0578 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8417 recall@top3: 0.7917 prec@top3: 0.7667 recall@top5: 0.9375 prec@top5: 0.5600 loss_action_cls: 0.0578 2022/12/03 18:27:30 - mmengine - INFO - Epoch(train) [3][1020/4451] lr: 9.9798e-02 eta: 3:04:40 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1493 loss: 0.0595 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6667 recall@top3: 0.8148 prec@top3: 0.5185 recall@top5: 0.8889 prec@top5: 0.3556 loss_action_cls: 0.0595 2022/12/03 18:27:36 - mmengine - INFO - Epoch(train) [3][1040/4451] lr: 9.9790e-02 eta: 3:04:34 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1571 loss: 0.0486 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6667 recall@top3: 0.7588 prec@top3: 0.5614 recall@top5: 0.9254 prec@top5: 0.4000 loss_action_cls: 0.0486 2022/12/03 18:27:43 - mmengine - INFO - Epoch(train) [3][1060/4451] lr: 9.9782e-02 eta: 3:04:27 time: 0.3187 data_time: 0.0103 memory: 8510 grad_norm: 0.1641 loss: 0.0573 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5533 recall@top3: 0.7917 prec@top3: 0.5500 recall@top5: 0.8667 prec@top5: 0.3700 loss_action_cls: 0.0573 2022/12/03 18:27:49 - mmengine - INFO - Epoch(train) [3][1080/4451] lr: 9.9774e-02 eta: 3:04:21 time: 0.3201 data_time: 0.0110 memory: 8510 grad_norm: 0.1618 loss: 0.0576 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7840 recall@top3: 0.6506 prec@top3: 0.6154 recall@top5: 0.8846 prec@top5: 0.5000 loss_action_cls: 0.0576 2022/12/03 18:27:55 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:27:56 - mmengine - INFO - Epoch(train) [3][1100/4451] lr: 9.9765e-02 eta: 3:04:15 time: 0.3194 data_time: 0.0103 memory: 8510 grad_norm: 0.1551 loss: 0.0588 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7593 recall@top3: 0.8704 prec@top3: 0.5679 recall@top5: 1.0000 prec@top5: 0.4148 loss_action_cls: 0.0588 2022/12/03 18:28:02 - mmengine - INFO - Epoch(train) [3][1120/4451] lr: 9.9757e-02 eta: 3:04:08 time: 0.3186 data_time: 0.0101 memory: 8510 grad_norm: 0.1514 loss: 0.0639 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6667 recall@top3: 0.8854 prec@top3: 0.5625 recall@top5: 0.9583 prec@top5: 0.3750 loss_action_cls: 0.0639 2022/12/03 18:28:08 - mmengine - INFO - Epoch(train) [3][1140/4451] lr: 9.9748e-02 eta: 3:04:02 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1454 loss: 0.0609 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.6019 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9630 prec@top5: 0.4111 loss_action_cls: 0.0609 2022/12/03 18:28:15 - mmengine - INFO - Epoch(train) [3][1160/4451] lr: 9.9739e-02 eta: 3:03:55 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1485 loss: 0.0564 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.8167 recall@top3: 0.8042 prec@top3: 0.6500 recall@top5: 0.9625 prec@top5: 0.4800 loss_action_cls: 0.0564 2022/12/03 18:28:21 - mmengine - INFO - Epoch(train) [3][1180/4451] lr: 9.9730e-02 eta: 3:03:49 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.1542 loss: 0.0588 recall@thr=0.5: 0.8111 prec@thr=0.5: 1.0000 recall@top3: 0.9333 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0588 2022/12/03 18:28:28 - mmengine - INFO - Epoch(train) [3][1200/4451] lr: 9.9721e-02 eta: 3:03:42 time: 0.3199 data_time: 0.0105 memory: 8510 grad_norm: 0.1582 loss: 0.0638 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.7059 recall@top3: 0.8922 prec@top3: 0.6078 recall@top5: 0.9265 prec@top5: 0.3882 loss_action_cls: 0.0638 2022/12/03 18:28:34 - mmengine - INFO - Epoch(train) [3][1220/4451] lr: 9.9711e-02 eta: 3:03:36 time: 0.3187 data_time: 0.0106 memory: 8510 grad_norm: 0.1490 loss: 0.0594 recall@thr=0.5: 0.5426 prec@thr=0.5: 0.5901 recall@top3: 0.6506 prec@top3: 0.6667 recall@top5: 0.9000 prec@top5: 0.5481 loss_action_cls: 0.0594 2022/12/03 18:28:40 - mmengine - INFO - Epoch(train) [3][1240/4451] lr: 9.9702e-02 eta: 3:03:29 time: 0.3194 data_time: 0.0112 memory: 8510 grad_norm: 0.1594 loss: 0.0583 recall@thr=0.5: 0.4848 prec@thr=0.5: 0.6364 recall@top3: 0.8939 prec@top3: 0.5455 recall@top5: 0.9697 prec@top5: 0.3636 loss_action_cls: 0.0583 2022/12/03 18:28:47 - mmengine - INFO - Epoch(train) [3][1260/4451] lr: 9.9692e-02 eta: 3:03:23 time: 0.3191 data_time: 0.0111 memory: 8510 grad_norm: 0.1468 loss: 0.0614 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.5884 recall@top3: 0.7121 prec@top3: 0.4040 recall@top5: 0.8687 prec@top5: 0.3152 loss_action_cls: 0.0614 2022/12/03 18:28:53 - mmengine - INFO - Epoch(train) [3][1280/4451] lr: 9.9682e-02 eta: 3:03:16 time: 0.3204 data_time: 0.0103 memory: 8510 grad_norm: 0.1531 loss: 0.0526 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.6746 recall@top3: 0.8333 prec@top3: 0.5873 recall@top5: 0.9524 prec@top5: 0.4190 loss_action_cls: 0.0526 2022/12/03 18:29:00 - mmengine - INFO - Epoch(train) [3][1300/4451] lr: 9.9672e-02 eta: 3:03:10 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1505 loss: 0.0568 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.6181 recall@top3: 0.8819 prec@top3: 0.5833 recall@top5: 0.9306 prec@top5: 0.3750 loss_action_cls: 0.0568 2022/12/03 18:29:06 - mmengine - INFO - Epoch(train) [3][1320/4451] lr: 9.9662e-02 eta: 3:03:04 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1538 loss: 0.0637 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7407 recall@top3: 0.7500 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.4222 loss_action_cls: 0.0637 2022/12/03 18:29:12 - mmengine - INFO - Epoch(train) [3][1340/4451] lr: 9.9652e-02 eta: 3:02:57 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.1554 loss: 0.0588 recall@thr=0.5: 0.7058 prec@thr=0.5: 0.8043 recall@top3: 0.7986 prec@top3: 0.6667 recall@top5: 0.9101 prec@top5: 0.4609 loss_action_cls: 0.0588 2022/12/03 18:29:19 - mmengine - INFO - Epoch(train) [3][1360/4451] lr: 9.9641e-02 eta: 3:02:51 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1471 loss: 0.0524 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.7421 recall@top3: 0.7857 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.4857 loss_action_cls: 0.0524 2022/12/03 18:29:25 - mmengine - INFO - Epoch(train) [3][1380/4451] lr: 9.9630e-02 eta: 3:02:44 time: 0.3199 data_time: 0.0102 memory: 8510 grad_norm: 0.1586 loss: 0.0532 recall@thr=0.5: 0.4493 prec@thr=0.5: 0.5507 recall@top3: 0.7029 prec@top3: 0.4638 recall@top5: 0.9783 prec@top5: 0.3652 loss_action_cls: 0.0532 2022/12/03 18:29:32 - mmengine - INFO - Epoch(train) [3][1400/4451] lr: 9.9620e-02 eta: 3:02:38 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1564 loss: 0.0536 recall@thr=0.5: 0.4283 prec@thr=0.5: 0.6652 recall@top3: 0.6928 prec@top3: 0.6812 recall@top5: 0.8029 prec@top5: 0.4870 loss_action_cls: 0.0536 2022/12/03 18:29:38 - mmengine - INFO - Epoch(train) [3][1420/4451] lr: 9.9609e-02 eta: 3:02:31 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1515 loss: 0.0537 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.7667 recall@top3: 0.9056 prec@top3: 0.5778 recall@top5: 0.9500 prec@top5: 0.3733 loss_action_cls: 0.0537 2022/12/03 18:29:44 - mmengine - INFO - Epoch(train) [3][1440/4451] lr: 9.9598e-02 eta: 3:02:25 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1571 loss: 0.0515 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7353 recall@top3: 0.7549 prec@top3: 0.5686 recall@top5: 0.9216 prec@top5: 0.3882 loss_action_cls: 0.0515 2022/12/03 18:29:51 - mmengine - INFO - Epoch(train) [3][1460/4451] lr: 9.9586e-02 eta: 3:02:19 time: 0.3193 data_time: 0.0107 memory: 8510 grad_norm: 0.1586 loss: 0.0524 recall@thr=0.5: 0.3947 prec@thr=0.5: 0.5351 recall@top3: 0.6228 prec@top3: 0.5614 recall@top5: 0.8421 prec@top5: 0.4211 loss_action_cls: 0.0524 2022/12/03 18:29:57 - mmengine - INFO - Epoch(train) [3][1480/4451] lr: 9.9575e-02 eta: 3:02:12 time: 0.3197 data_time: 0.0102 memory: 8510 grad_norm: 0.1542 loss: 0.0559 recall@thr=0.5: 0.5956 prec@thr=0.5: 0.8333 recall@top3: 0.7956 prec@top3: 0.6667 recall@top5: 0.8533 prec@top5: 0.4400 loss_action_cls: 0.0559 2022/12/03 18:30:04 - mmengine - INFO - Epoch(train) [3][1500/4451] lr: 9.9563e-02 eta: 3:02:06 time: 0.3194 data_time: 0.0107 memory: 8510 grad_norm: 0.1605 loss: 0.0577 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.4896 recall@top3: 0.7604 prec@top3: 0.4583 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0577 2022/12/03 18:30:10 - mmengine - INFO - Epoch(train) [3][1520/4451] lr: 9.9552e-02 eta: 3:01:59 time: 0.3214 data_time: 0.0102 memory: 8510 grad_norm: 0.1567 loss: 0.0589 recall@thr=0.5: 0.4839 prec@thr=0.5: 0.6129 recall@top3: 0.7344 prec@top3: 0.6129 recall@top5: 0.8688 prec@top5: 0.4452 loss_action_cls: 0.0589 2022/12/03 18:30:16 - mmengine - INFO - Epoch(train) [3][1540/4451] lr: 9.9540e-02 eta: 3:01:53 time: 0.3213 data_time: 0.0103 memory: 8510 grad_norm: 0.1535 loss: 0.0558 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6349 recall@top3: 0.7659 prec@top3: 0.6508 recall@top5: 0.8770 prec@top5: 0.4667 loss_action_cls: 0.0558 2022/12/03 18:30:23 - mmengine - INFO - Epoch(train) [3][1560/4451] lr: 9.9528e-02 eta: 3:01:47 time: 0.3217 data_time: 0.0108 memory: 8510 grad_norm: 0.1516 loss: 0.0528 recall@thr=0.5: 0.6379 prec@thr=0.5: 0.6322 recall@top3: 0.7471 prec@top3: 0.4713 recall@top5: 0.8161 prec@top5: 0.3172 loss_action_cls: 0.0528 2022/12/03 18:30:29 - mmengine - INFO - Epoch(train) [3][1580/4451] lr: 9.9516e-02 eta: 3:01:40 time: 0.3218 data_time: 0.0098 memory: 8510 grad_norm: 0.1575 loss: 0.0574 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.6579 recall@top3: 0.7632 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.4105 loss_action_cls: 0.0574 2022/12/03 18:30:36 - mmengine - INFO - Epoch(train) [3][1600/4451] lr: 9.9503e-02 eta: 3:01:34 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1531 loss: 0.0555 recall@thr=0.5: 0.4603 prec@thr=0.5: 0.5794 recall@top3: 0.7341 prec@top3: 0.4921 recall@top5: 0.8571 prec@top5: 0.3619 loss_action_cls: 0.0555 2022/12/03 18:30:42 - mmengine - INFO - Epoch(train) [3][1620/4451] lr: 9.9491e-02 eta: 3:01:27 time: 0.3194 data_time: 0.0101 memory: 8510 grad_norm: 0.1507 loss: 0.0499 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.6859 recall@top3: 0.7244 prec@top3: 0.6154 recall@top5: 0.8462 prec@top5: 0.4462 loss_action_cls: 0.0499 2022/12/03 18:30:48 - mmengine - INFO - Epoch(train) [3][1640/4451] lr: 9.9478e-02 eta: 3:01:21 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1524 loss: 0.0541 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.5781 recall@top3: 0.7969 prec@top3: 0.4792 recall@top5: 0.9375 prec@top5: 0.3625 loss_action_cls: 0.0541 2022/12/03 18:30:55 - mmengine - INFO - Epoch(train) [3][1660/4451] lr: 9.9465e-02 eta: 3:01:15 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.1518 loss: 0.0520 recall@thr=0.5: 0.3910 prec@thr=0.5: 0.4487 recall@top3: 0.7949 prec@top3: 0.4103 recall@top5: 0.9038 prec@top5: 0.3077 loss_action_cls: 0.0520 2022/12/03 18:31:01 - mmengine - INFO - Epoch(train) [3][1680/4451] lr: 9.9452e-02 eta: 3:01:08 time: 0.3200 data_time: 0.0112 memory: 8510 grad_norm: 0.1462 loss: 0.0615 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.8175 recall@top3: 0.7619 prec@top3: 0.5238 recall@top5: 0.8730 prec@top5: 0.3714 loss_action_cls: 0.0615 2022/12/03 18:31:08 - mmengine - INFO - Epoch(train) [3][1700/4451] lr: 9.9439e-02 eta: 3:01:02 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.1479 loss: 0.0619 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8750 recall@top3: 0.8981 prec@top3: 0.5556 recall@top5: 0.9861 prec@top5: 0.3889 loss_action_cls: 0.0619 2022/12/03 18:31:14 - mmengine - INFO - Epoch(train) [3][1720/4451] lr: 9.9426e-02 eta: 3:00:55 time: 0.3201 data_time: 0.0112 memory: 8510 grad_norm: 0.1536 loss: 0.0582 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6250 recall@top3: 0.7458 prec@top3: 0.6250 recall@top5: 0.9062 prec@top5: 0.4750 loss_action_cls: 0.0582 2022/12/03 18:31:20 - mmengine - INFO - Epoch(train) [3][1740/4451] lr: 9.9413e-02 eta: 3:00:49 time: 0.3188 data_time: 0.0100 memory: 8510 grad_norm: 0.1452 loss: 0.0492 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.8333 recall@top3: 0.8438 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0492 2022/12/03 18:31:27 - mmengine - INFO - Epoch(train) [3][1760/4451] lr: 9.9399e-02 eta: 3:00:42 time: 0.3194 data_time: 0.0101 memory: 8510 grad_norm: 0.1473 loss: 0.0539 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.5354 recall@top3: 0.8194 prec@top3: 0.6111 recall@top5: 0.8472 prec@top5: 0.3833 loss_action_cls: 0.0539 2022/12/03 18:31:33 - mmengine - INFO - Epoch(train) [3][1780/4451] lr: 9.9385e-02 eta: 3:00:36 time: 0.3200 data_time: 0.0097 memory: 8510 grad_norm: 0.1540 loss: 0.0554 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.6538 recall@top3: 0.9615 prec@top3: 0.5385 recall@top5: 1.0000 prec@top5: 0.3385 loss_action_cls: 0.0554 2022/12/03 18:31:40 - mmengine - INFO - Epoch(train) [3][1800/4451] lr: 9.9372e-02 eta: 3:00:29 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1545 loss: 0.0569 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.5833 recall@top3: 0.7870 prec@top3: 0.5741 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0569 2022/12/03 18:31:46 - mmengine - INFO - Epoch(train) [3][1820/4451] lr: 9.9357e-02 eta: 3:00:23 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1518 loss: 0.0564 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8167 recall@top3: 0.8556 prec@top3: 0.7111 recall@top5: 0.9333 prec@top5: 0.4667 loss_action_cls: 0.0564 2022/12/03 18:31:52 - mmengine - INFO - Epoch(train) [3][1840/4451] lr: 9.9343e-02 eta: 3:00:17 time: 0.3197 data_time: 0.0102 memory: 8510 grad_norm: 0.1619 loss: 0.0522 recall@thr=0.5: 0.6505 prec@thr=0.5: 0.6801 recall@top3: 0.7419 prec@top3: 0.6989 recall@top5: 0.8522 prec@top5: 0.4839 loss_action_cls: 0.0522 2022/12/03 18:31:59 - mmengine - INFO - Epoch(train) [3][1860/4451] lr: 9.9329e-02 eta: 3:00:10 time: 0.3192 data_time: 0.0109 memory: 8510 grad_norm: 0.1504 loss: 0.0573 recall@thr=0.5: 0.4614 prec@thr=0.5: 0.5530 recall@top3: 0.7061 prec@top3: 0.5909 recall@top5: 0.8485 prec@top5: 0.4727 loss_action_cls: 0.0573 2022/12/03 18:32:05 - mmengine - INFO - Epoch(train) [3][1880/4451] lr: 9.9315e-02 eta: 3:00:04 time: 0.3191 data_time: 0.0102 memory: 8510 grad_norm: 0.1584 loss: 0.0543 recall@thr=0.5: 0.6774 prec@thr=0.5: 0.8304 recall@top3: 0.8821 prec@top3: 0.6071 recall@top5: 0.9524 prec@top5: 0.4143 loss_action_cls: 0.0543 2022/12/03 18:32:12 - mmengine - INFO - Epoch(train) [3][1900/4451] lr: 9.9300e-02 eta: 2:59:57 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1474 loss: 0.0518 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7857 recall@top3: 0.8254 prec@top3: 0.6984 recall@top5: 0.9365 prec@top5: 0.4667 loss_action_cls: 0.0518 2022/12/03 18:32:18 - mmengine - INFO - Epoch(train) [3][1920/4451] lr: 9.9285e-02 eta: 2:59:51 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1518 loss: 0.0531 recall@thr=0.5: 0.4133 prec@thr=0.5: 0.4000 recall@top3: 0.6850 prec@top3: 0.4667 recall@top5: 0.8800 prec@top5: 0.3800 loss_action_cls: 0.0531 2022/12/03 18:32:24 - mmengine - INFO - Epoch(train) [3][1940/4451] lr: 9.9270e-02 eta: 2:59:44 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1527 loss: 0.0470 recall@thr=0.5: 0.6550 prec@thr=0.5: 0.8167 recall@top3: 0.8217 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.5200 loss_action_cls: 0.0470 2022/12/03 18:32:31 - mmengine - INFO - Epoch(train) [3][1960/4451] lr: 9.9255e-02 eta: 2:59:38 time: 0.3198 data_time: 0.0105 memory: 8510 grad_norm: 0.1512 loss: 0.0543 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.7444 recall@top3: 0.6733 prec@top3: 0.6000 recall@top5: 0.8444 prec@top5: 0.4400 loss_action_cls: 0.0543 2022/12/03 18:32:37 - mmengine - INFO - Epoch(train) [3][1980/4451] lr: 9.9240e-02 eta: 2:59:32 time: 0.3192 data_time: 0.0099 memory: 8510 grad_norm: 0.1517 loss: 0.0531 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.4643 recall@top3: 0.7857 prec@top3: 0.5952 recall@top5: 0.8810 prec@top5: 0.4143 loss_action_cls: 0.0531 2022/12/03 18:32:44 - mmengine - INFO - Epoch(train) [3][2000/4451] lr: 9.9224e-02 eta: 2:59:25 time: 0.3194 data_time: 0.0099 memory: 8510 grad_norm: 0.1424 loss: 0.0572 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.7222 recall@top3: 0.8102 prec@top3: 0.7407 recall@top5: 0.9167 prec@top5: 0.5222 loss_action_cls: 0.0572 2022/12/03 18:32:50 - mmengine - INFO - Epoch(train) [3][2020/4451] lr: 9.9209e-02 eta: 2:59:19 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1590 loss: 0.0597 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7685 recall@top3: 0.6296 prec@top3: 0.6111 recall@top5: 0.8704 prec@top5: 0.5111 loss_action_cls: 0.0597 2022/12/03 18:32:56 - mmengine - INFO - Epoch(train) [3][2040/4451] lr: 9.9193e-02 eta: 2:59:12 time: 0.3209 data_time: 0.0102 memory: 8510 grad_norm: 0.1526 loss: 0.0623 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.6923 recall@top3: 0.6987 prec@top3: 0.5128 recall@top5: 0.8269 prec@top5: 0.3692 loss_action_cls: 0.0623 2022/12/03 18:33:03 - mmengine - INFO - Epoch(train) [3][2060/4451] lr: 9.9177e-02 eta: 2:59:06 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1424 loss: 0.0594 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8492 recall@top3: 0.8238 prec@top3: 0.6825 recall@top5: 0.9429 prec@top5: 0.5048 loss_action_cls: 0.0594 2022/12/03 18:33:09 - mmengine - INFO - Epoch(train) [3][2080/4451] lr: 9.9161e-02 eta: 2:58:59 time: 0.3191 data_time: 0.0099 memory: 8510 grad_norm: 0.1516 loss: 0.0522 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.6404 recall@top3: 0.7368 prec@top3: 0.6316 recall@top5: 0.9167 prec@top5: 0.4526 loss_action_cls: 0.0522 2022/12/03 18:33:15 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:33:16 - mmengine - INFO - Epoch(train) [3][2100/4451] lr: 9.9145e-02 eta: 2:58:53 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.1479 loss: 0.0537 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6103 recall@top3: 0.7341 prec@top3: 0.5397 recall@top5: 0.8333 prec@top5: 0.3905 loss_action_cls: 0.0537 2022/12/03 18:33:22 - mmengine - INFO - Epoch(train) [3][2120/4451] lr: 9.9129e-02 eta: 2:58:47 time: 0.3201 data_time: 0.0115 memory: 8510 grad_norm: 0.1508 loss: 0.0585 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.8039 recall@top3: 0.7843 prec@top3: 0.6078 recall@top5: 0.8137 prec@top5: 0.3882 loss_action_cls: 0.0585 2022/12/03 18:33:28 - mmengine - INFO - Epoch(train) [3][2140/4451] lr: 9.9112e-02 eta: 2:58:40 time: 0.3192 data_time: 0.0107 memory: 8510 grad_norm: 0.1482 loss: 0.0570 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.7469 recall@top3: 0.8827 prec@top3: 0.6914 recall@top5: 1.0000 prec@top5: 0.4815 loss_action_cls: 0.0570 2022/12/03 18:33:35 - mmengine - INFO - Epoch(train) [3][2160/4451] lr: 9.9096e-02 eta: 2:58:34 time: 0.3196 data_time: 0.0106 memory: 8510 grad_norm: 0.1510 loss: 0.0522 recall@thr=0.5: 0.2827 prec@thr=0.5: 0.3288 recall@top3: 0.5013 prec@top3: 0.4487 recall@top5: 0.7308 prec@top5: 0.4154 loss_action_cls: 0.0522 2022/12/03 18:33:41 - mmengine - INFO - Epoch(train) [3][2180/4451] lr: 9.9079e-02 eta: 2:58:27 time: 0.3185 data_time: 0.0103 memory: 8510 grad_norm: 0.1443 loss: 0.0527 recall@thr=0.5: 0.5679 prec@thr=0.5: 0.6543 recall@top3: 0.6667 prec@top3: 0.6049 recall@top5: 0.8333 prec@top5: 0.4593 loss_action_cls: 0.0527 2022/12/03 18:33:48 - mmengine - INFO - Epoch(train) [3][2200/4451] lr: 9.9062e-02 eta: 2:58:21 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1500 loss: 0.0481 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.7500 recall@top3: 0.8116 prec@top3: 0.6812 recall@top5: 0.9710 prec@top5: 0.4957 loss_action_cls: 0.0481 2022/12/03 18:33:54 - mmengine - INFO - Epoch(train) [3][2220/4451] lr: 9.9045e-02 eta: 2:58:14 time: 0.3191 data_time: 0.0103 memory: 8510 grad_norm: 0.1462 loss: 0.0507 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7593 recall@top3: 0.7685 prec@top3: 0.6481 recall@top5: 0.9306 prec@top5: 0.4778 loss_action_cls: 0.0507 2022/12/03 18:34:00 - mmengine - INFO - Epoch(train) [3][2240/4451] lr: 9.9028e-02 eta: 2:58:08 time: 0.3196 data_time: 0.0113 memory: 8510 grad_norm: 0.1528 loss: 0.0515 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8667 recall@top3: 0.8889 prec@top3: 0.8222 recall@top5: 0.9222 prec@top5: 0.5200 loss_action_cls: 0.0515 2022/12/03 18:34:07 - mmengine - INFO - Epoch(train) [3][2260/4451] lr: 9.9010e-02 eta: 2:58:01 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1584 loss: 0.0571 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6975 recall@top3: 0.7105 prec@top3: 0.5432 recall@top5: 0.8747 prec@top5: 0.4222 loss_action_cls: 0.0571 2022/12/03 18:34:13 - mmengine - INFO - Epoch(train) [3][2280/4451] lr: 9.8993e-02 eta: 2:57:55 time: 0.3197 data_time: 0.0109 memory: 8510 grad_norm: 0.1474 loss: 0.0556 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.9167 recall@top3: 0.8889 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0556 2022/12/03 18:34:20 - mmengine - INFO - Epoch(train) [3][2300/4451] lr: 9.8975e-02 eta: 2:57:48 time: 0.3207 data_time: 0.0111 memory: 8510 grad_norm: 0.1596 loss: 0.0525 recall@thr=0.5: 0.5325 prec@thr=0.5: 0.6667 recall@top3: 0.7518 prec@top3: 0.5965 recall@top5: 0.8684 prec@top5: 0.4421 loss_action_cls: 0.0525 2022/12/03 18:34:26 - mmengine - INFO - Epoch(train) [3][2320/4451] lr: 9.8957e-02 eta: 2:57:42 time: 0.3191 data_time: 0.0112 memory: 8510 grad_norm: 0.1479 loss: 0.0527 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8704 recall@top3: 0.8611 prec@top3: 0.7037 recall@top5: 0.9167 prec@top5: 0.4556 loss_action_cls: 0.0527 2022/12/03 18:34:32 - mmengine - INFO - Epoch(train) [3][2340/4451] lr: 9.8939e-02 eta: 2:57:36 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1532 loss: 0.0534 recall@thr=0.5: 0.5037 prec@thr=0.5: 0.5185 recall@top3: 0.7278 prec@top3: 0.5926 recall@top5: 0.8778 prec@top5: 0.4444 loss_action_cls: 0.0534 2022/12/03 18:34:39 - mmengine - INFO - Epoch(train) [3][2360/4451] lr: 9.8921e-02 eta: 2:57:29 time: 0.3192 data_time: 0.0102 memory: 8510 grad_norm: 0.1593 loss: 0.0545 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.6218 recall@top3: 0.8141 prec@top3: 0.5513 recall@top5: 0.8846 prec@top5: 0.3692 loss_action_cls: 0.0545 2022/12/03 18:34:45 - mmengine - INFO - Epoch(train) [3][2380/4451] lr: 9.8903e-02 eta: 2:57:23 time: 0.3186 data_time: 0.0099 memory: 8510 grad_norm: 0.1465 loss: 0.0524 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.7361 recall@top3: 0.9148 prec@top3: 0.6296 recall@top5: 0.9889 prec@top5: 0.4444 loss_action_cls: 0.0524 2022/12/03 18:34:52 - mmengine - INFO - Epoch(train) [3][2400/4451] lr: 9.8884e-02 eta: 2:57:16 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1602 loss: 0.0600 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.4524 recall@top3: 0.7143 prec@top3: 0.5952 recall@top5: 0.8333 prec@top5: 0.4286 loss_action_cls: 0.0600 2022/12/03 18:34:58 - mmengine - INFO - Epoch(train) [3][2420/4451] lr: 9.8866e-02 eta: 2:57:10 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1510 loss: 0.0556 recall@thr=0.5: 0.4067 prec@thr=0.5: 0.5167 recall@top3: 0.5342 prec@top3: 0.5500 recall@top5: 0.7208 prec@top5: 0.4500 loss_action_cls: 0.0556 2022/12/03 18:35:04 - mmengine - INFO - Epoch(train) [3][2440/4451] lr: 9.8847e-02 eta: 2:57:03 time: 0.3188 data_time: 0.0112 memory: 8510 grad_norm: 0.1476 loss: 0.0552 recall@thr=0.5: 0.6131 prec@thr=0.5: 0.7351 recall@top3: 0.6905 prec@top3: 0.5952 recall@top5: 0.9101 prec@top5: 0.4714 loss_action_cls: 0.0552 2022/12/03 18:35:11 - mmengine - INFO - Epoch(train) [3][2460/4451] lr: 9.8828e-02 eta: 2:56:57 time: 0.3179 data_time: 0.0106 memory: 8510 grad_norm: 0.1472 loss: 0.0540 recall@thr=0.5: 0.4028 prec@thr=0.5: 0.5463 recall@top3: 0.7963 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.3889 loss_action_cls: 0.0540 2022/12/03 18:35:17 - mmengine - INFO - Epoch(train) [3][2480/4451] lr: 9.8809e-02 eta: 2:56:50 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.1476 loss: 0.0529 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7000 recall@top3: 0.8667 prec@top3: 0.6889 recall@top5: 0.9000 prec@top5: 0.4267 loss_action_cls: 0.0529 2022/12/03 18:35:23 - mmengine - INFO - Epoch(train) [3][2500/4451] lr: 9.8790e-02 eta: 2:56:44 time: 0.3212 data_time: 0.0116 memory: 8510 grad_norm: 0.1412 loss: 0.0522 recall@thr=0.5: 0.5467 prec@thr=0.5: 0.6000 recall@top3: 0.6667 prec@top3: 0.5067 recall@top5: 0.8400 prec@top5: 0.3840 loss_action_cls: 0.0522 2022/12/03 18:35:30 - mmengine - INFO - Epoch(train) [3][2520/4451] lr: 9.8770e-02 eta: 2:56:38 time: 0.3200 data_time: 0.0099 memory: 8510 grad_norm: 0.1523 loss: 0.0556 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.9375 recall@top3: 0.8958 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0556 2022/12/03 18:35:36 - mmengine - INFO - Epoch(train) [3][2540/4451] lr: 9.8751e-02 eta: 2:56:31 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1602 loss: 0.0508 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7059 recall@top3: 0.7549 prec@top3: 0.5882 recall@top5: 0.9020 prec@top5: 0.4000 loss_action_cls: 0.0508 2022/12/03 18:35:43 - mmengine - INFO - Epoch(train) [3][2560/4451] lr: 9.8731e-02 eta: 2:56:25 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1559 loss: 0.0567 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.6258 recall@top3: 0.8183 prec@top3: 0.7000 recall@top5: 0.9550 prec@top5: 0.5300 loss_action_cls: 0.0567 2022/12/03 18:35:49 - mmengine - INFO - Epoch(train) [3][2580/4451] lr: 9.8711e-02 eta: 2:56:18 time: 0.3202 data_time: 0.0105 memory: 8510 grad_norm: 0.1525 loss: 0.0540 recall@thr=0.5: 0.3929 prec@thr=0.5: 0.4048 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.8095 prec@top5: 0.3143 loss_action_cls: 0.0540 2022/12/03 18:35:55 - mmengine - INFO - Epoch(train) [3][2600/4451] lr: 9.8691e-02 eta: 2:56:12 time: 0.3194 data_time: 0.0098 memory: 8510 grad_norm: 0.1499 loss: 0.0527 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6806 recall@top3: 0.8194 prec@top3: 0.4722 recall@top5: 0.8611 prec@top5: 0.3000 loss_action_cls: 0.0527 2022/12/03 18:36:02 - mmengine - INFO - Epoch(train) [3][2620/4451] lr: 9.8671e-02 eta: 2:56:06 time: 0.3208 data_time: 0.0096 memory: 8510 grad_norm: 0.1461 loss: 0.0521 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6310 recall@top3: 0.7143 prec@top3: 0.4762 recall@top5: 0.7738 prec@top5: 0.3286 loss_action_cls: 0.0521 2022/12/03 18:36:08 - mmengine - INFO - Epoch(train) [3][2640/4451] lr: 9.8651e-02 eta: 2:55:59 time: 0.3202 data_time: 0.0114 memory: 8510 grad_norm: 0.1550 loss: 0.0545 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7803 recall@top3: 0.7424 prec@top3: 0.5455 recall@top5: 0.8712 prec@top5: 0.4091 loss_action_cls: 0.0545 2022/12/03 18:36:15 - mmengine - INFO - Epoch(train) [3][2660/4451] lr: 9.8630e-02 eta: 2:55:53 time: 0.3201 data_time: 0.0103 memory: 8510 grad_norm: 0.1423 loss: 0.0565 recall@thr=0.5: 0.4683 prec@thr=0.5: 0.4524 recall@top3: 0.7778 prec@top3: 0.4921 recall@top5: 0.9286 prec@top5: 0.3619 loss_action_cls: 0.0565 2022/12/03 18:36:21 - mmengine - INFO - Epoch(train) [3][2680/4451] lr: 9.8610e-02 eta: 2:55:46 time: 0.3194 data_time: 0.0096 memory: 8510 grad_norm: 0.1522 loss: 0.0474 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.9130 recall@top3: 0.8406 prec@top3: 0.6812 recall@top5: 0.8913 prec@top5: 0.4435 loss_action_cls: 0.0474 2022/12/03 18:36:28 - mmengine - INFO - Epoch(train) [3][2700/4451] lr: 9.8589e-02 eta: 2:55:40 time: 0.3206 data_time: 0.0098 memory: 8510 grad_norm: 0.1449 loss: 0.0493 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7451 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0493 2022/12/03 18:36:34 - mmengine - INFO - Epoch(train) [3][2720/4451] lr: 9.8568e-02 eta: 2:55:33 time: 0.3197 data_time: 0.0104 memory: 8510 grad_norm: 0.1484 loss: 0.0481 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.5741 recall@top3: 0.5648 prec@top3: 0.5741 recall@top5: 0.7731 prec@top5: 0.4889 loss_action_cls: 0.0481 2022/12/03 18:36:40 - mmengine - INFO - Epoch(train) [3][2740/4451] lr: 9.8547e-02 eta: 2:55:27 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1512 loss: 0.0545 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.8333 recall@top3: 0.8452 prec@top3: 0.7738 recall@top5: 0.9405 prec@top5: 0.5214 loss_action_cls: 0.0545 2022/12/03 18:36:47 - mmengine - INFO - Epoch(train) [3][2760/4451] lr: 9.8526e-02 eta: 2:55:21 time: 0.3193 data_time: 0.0098 memory: 8510 grad_norm: 0.1479 loss: 0.0523 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.6667 recall@top3: 0.6667 prec@top3: 0.6078 recall@top5: 0.7745 prec@top5: 0.4353 loss_action_cls: 0.0523 2022/12/03 18:36:53 - mmengine - INFO - Epoch(train) [3][2780/4451] lr: 9.8505e-02 eta: 2:55:14 time: 0.3207 data_time: 0.0117 memory: 8510 grad_norm: 0.1504 loss: 0.0542 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.6877 recall@top3: 0.7572 prec@top3: 0.5362 recall@top5: 0.8768 prec@top5: 0.4000 loss_action_cls: 0.0542 2022/12/03 18:37:00 - mmengine - INFO - Epoch(train) [3][2800/4451] lr: 9.8483e-02 eta: 2:55:08 time: 0.3204 data_time: 0.0103 memory: 8510 grad_norm: 0.1482 loss: 0.0524 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.9010 recall@top3: 0.9167 prec@top3: 0.7083 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0524 2022/12/03 18:37:06 - mmengine - INFO - Epoch(train) [3][2820/4451] lr: 9.8462e-02 eta: 2:55:01 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1519 loss: 0.0542 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6208 recall@top3: 0.6825 prec@top3: 0.4667 recall@top5: 0.8858 prec@top5: 0.3900 loss_action_cls: 0.0542 2022/12/03 18:37:12 - mmengine - INFO - Epoch(train) [3][2840/4451] lr: 9.8440e-02 eta: 2:54:55 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1609 loss: 0.0495 recall@thr=0.5: 0.6229 prec@thr=0.5: 0.8229 recall@top3: 0.9500 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0495 2022/12/03 18:37:19 - mmengine - INFO - Epoch(train) [3][2860/4451] lr: 9.8418e-02 eta: 2:54:48 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.1564 loss: 0.0480 recall@thr=0.5: 0.5123 prec@thr=0.5: 0.7901 recall@top3: 0.6636 prec@top3: 0.5432 recall@top5: 0.8642 prec@top5: 0.4148 loss_action_cls: 0.0480 2022/12/03 18:37:25 - mmengine - INFO - Epoch(train) [3][2880/4451] lr: 9.8396e-02 eta: 2:54:42 time: 0.3200 data_time: 0.0129 memory: 8510 grad_norm: 0.1537 loss: 0.0486 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6270 recall@top3: 0.6984 prec@top3: 0.4921 recall@top5: 0.9524 prec@top5: 0.3714 loss_action_cls: 0.0486 2022/12/03 18:37:32 - mmengine - INFO - Epoch(train) [3][2900/4451] lr: 9.8373e-02 eta: 2:54:36 time: 0.3275 data_time: 0.0105 memory: 8510 grad_norm: 0.1597 loss: 0.0499 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7554 recall@top3: 0.7032 prec@top3: 0.6559 recall@top5: 0.8742 prec@top5: 0.5097 loss_action_cls: 0.0499 2022/12/03 18:37:38 - mmengine - INFO - Epoch(train) [3][2920/4451] lr: 9.8351e-02 eta: 2:54:30 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1539 loss: 0.0505 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.7500 recall@top3: 0.7407 prec@top3: 0.7037 recall@top5: 0.8102 prec@top5: 0.4667 loss_action_cls: 0.0505 2022/12/03 18:37:44 - mmengine - INFO - Epoch(train) [3][2940/4451] lr: 9.8328e-02 eta: 2:54:23 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.1506 loss: 0.0439 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.8561 recall@top3: 0.8182 prec@top3: 0.6364 recall@top5: 0.9470 prec@top5: 0.4364 loss_action_cls: 0.0439 2022/12/03 18:37:51 - mmengine - INFO - Epoch(train) [3][2960/4451] lr: 9.8306e-02 eta: 2:54:17 time: 0.3204 data_time: 0.0095 memory: 8510 grad_norm: 0.1464 loss: 0.0497 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7037 recall@top3: 0.7407 prec@top3: 0.6481 recall@top5: 0.9583 prec@top5: 0.5111 loss_action_cls: 0.0497 2022/12/03 18:37:57 - mmengine - INFO - Epoch(train) [3][2980/4451] lr: 9.8283e-02 eta: 2:54:10 time: 0.3216 data_time: 0.0120 memory: 8510 grad_norm: 0.1576 loss: 0.0539 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.5952 recall@top3: 0.7698 prec@top3: 0.4921 recall@top5: 0.8016 prec@top5: 0.3143 loss_action_cls: 0.0539 2022/12/03 18:38:04 - mmengine - INFO - Epoch(train) [3][3000/4451] lr: 9.8260e-02 eta: 2:54:04 time: 0.3193 data_time: 0.0098 memory: 8510 grad_norm: 0.1523 loss: 0.0544 recall@thr=0.5: 0.4819 prec@thr=0.5: 0.6957 recall@top3: 0.6159 prec@top3: 0.6087 recall@top5: 0.8007 prec@top5: 0.4435 loss_action_cls: 0.0544 2022/12/03 18:38:10 - mmengine - INFO - Epoch(train) [3][3020/4451] lr: 9.8237e-02 eta: 2:53:58 time: 0.3206 data_time: 0.0096 memory: 8510 grad_norm: 0.1498 loss: 0.0591 recall@thr=0.5: 0.5179 prec@thr=0.5: 0.4643 recall@top3: 0.7232 prec@top3: 0.4524 recall@top5: 0.8810 prec@top5: 0.3500 loss_action_cls: 0.0591 2022/12/03 18:38:17 - mmengine - INFO - Epoch(train) [3][3040/4451] lr: 9.8214e-02 eta: 2:53:51 time: 0.3197 data_time: 0.0106 memory: 8510 grad_norm: 0.1514 loss: 0.0532 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.5972 recall@top3: 0.7014 prec@top3: 0.5694 recall@top5: 0.8681 prec@top5: 0.4167 loss_action_cls: 0.0532 2022/12/03 18:38:23 - mmengine - INFO - Epoch(train) [3][3060/4451] lr: 9.8190e-02 eta: 2:53:45 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1600 loss: 0.0535 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.8659 recall@top3: 0.9058 prec@top3: 0.7681 recall@top5: 0.9710 prec@top5: 0.4957 loss_action_cls: 0.0535 2022/12/03 18:38:29 - mmengine - INFO - Epoch(train) [3][3080/4451] lr: 9.8166e-02 eta: 2:53:38 time: 0.3192 data_time: 0.0109 memory: 8510 grad_norm: 0.1544 loss: 0.0550 recall@thr=0.5: 0.7743 prec@thr=0.5: 0.7049 recall@top3: 0.8924 prec@top3: 0.6806 recall@top5: 0.9792 prec@top5: 0.4583 loss_action_cls: 0.0550 2022/12/03 18:38:35 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:38:36 - mmengine - INFO - Epoch(train) [3][3100/4451] lr: 9.8143e-02 eta: 2:53:32 time: 0.3206 data_time: 0.0097 memory: 8510 grad_norm: 0.1535 loss: 0.0570 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.5833 recall@top3: 0.7698 prec@top3: 0.5397 recall@top5: 0.9365 prec@top5: 0.3810 loss_action_cls: 0.0570 2022/12/03 18:38:42 - mmengine - INFO - Epoch(train) [3][3120/4451] lr: 9.8119e-02 eta: 2:53:25 time: 0.3200 data_time: 0.0096 memory: 8510 grad_norm: 0.1489 loss: 0.0557 recall@thr=0.5: 0.2800 prec@thr=0.5: 0.4200 recall@top3: 0.6400 prec@top3: 0.4400 recall@top5: 0.7600 prec@top5: 0.3040 loss_action_cls: 0.0557 2022/12/03 18:38:49 - mmengine - INFO - Epoch(train) [3][3140/4451] lr: 9.8095e-02 eta: 2:53:19 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.1521 loss: 0.0528 recall@thr=0.5: 0.6911 prec@thr=0.5: 0.7500 recall@top3: 0.7756 prec@top3: 0.6905 recall@top5: 0.8792 prec@top5: 0.4857 loss_action_cls: 0.0528 2022/12/03 18:38:55 - mmengine - INFO - Epoch(train) [3][3160/4451] lr: 9.8071e-02 eta: 2:53:13 time: 0.3197 data_time: 0.0098 memory: 8510 grad_norm: 0.1521 loss: 0.0550 recall@thr=0.5: 0.3725 prec@thr=0.5: 0.4510 recall@top3: 0.6275 prec@top3: 0.4706 recall@top5: 0.6569 prec@top5: 0.2941 loss_action_cls: 0.0550 2022/12/03 18:39:01 - mmengine - INFO - Epoch(train) [3][3180/4451] lr: 9.8046e-02 eta: 2:53:06 time: 0.3184 data_time: 0.0107 memory: 8510 grad_norm: 0.1532 loss: 0.0504 recall@thr=0.5: 0.6883 prec@thr=0.5: 0.6728 recall@top3: 0.8395 prec@top3: 0.6049 recall@top5: 0.9907 prec@top5: 0.4296 loss_action_cls: 0.0504 2022/12/03 18:39:08 - mmengine - INFO - Epoch(train) [3][3200/4451] lr: 9.8022e-02 eta: 2:53:00 time: 0.3201 data_time: 0.0103 memory: 8510 grad_norm: 0.1519 loss: 0.0529 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7308 recall@top3: 0.8846 prec@top3: 0.6410 recall@top5: 0.9744 prec@top5: 0.4462 loss_action_cls: 0.0529 2022/12/03 18:39:14 - mmengine - INFO - Epoch(train) [3][3220/4451] lr: 9.7997e-02 eta: 2:52:53 time: 0.3181 data_time: 0.0100 memory: 8510 grad_norm: 0.1484 loss: 0.0529 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.7308 recall@top3: 0.6346 prec@top3: 0.6026 recall@top5: 0.8622 prec@top5: 0.5154 loss_action_cls: 0.0529 2022/12/03 18:39:20 - mmengine - INFO - Epoch(train) [3][3240/4451] lr: 9.7972e-02 eta: 2:52:47 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1503 loss: 0.0495 recall@thr=0.5: 0.5570 prec@thr=0.5: 0.6053 recall@top3: 0.7491 prec@top3: 0.5088 recall@top5: 0.8096 prec@top5: 0.3579 loss_action_cls: 0.0495 2022/12/03 18:39:27 - mmengine - INFO - Epoch(train) [3][3260/4451] lr: 9.7947e-02 eta: 2:52:40 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1548 loss: 0.0510 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7368 recall@top3: 0.8684 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.4316 loss_action_cls: 0.0510 2022/12/03 18:39:33 - mmengine - INFO - Epoch(train) [3][3280/4451] lr: 9.7922e-02 eta: 2:52:34 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1514 loss: 0.0545 recall@thr=0.5: 0.5632 prec@thr=0.5: 0.6006 recall@top3: 0.7213 prec@top3: 0.5977 recall@top5: 0.8707 prec@top5: 0.4276 loss_action_cls: 0.0545 2022/12/03 18:39:40 - mmengine - INFO - Epoch(train) [3][3300/4451] lr: 9.7897e-02 eta: 2:52:28 time: 0.3203 data_time: 0.0116 memory: 8510 grad_norm: 0.1534 loss: 0.0528 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.8039 recall@top3: 0.7255 prec@top3: 0.6078 recall@top5: 0.8382 prec@top5: 0.4353 loss_action_cls: 0.0528 2022/12/03 18:39:46 - mmengine - INFO - Epoch(train) [3][3320/4451] lr: 9.7872e-02 eta: 2:52:21 time: 0.3205 data_time: 0.0114 memory: 8510 grad_norm: 0.1536 loss: 0.0462 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.6667 recall@top3: 0.7424 prec@top3: 0.4848 recall@top5: 0.8333 prec@top5: 0.3364 loss_action_cls: 0.0462 2022/12/03 18:39:53 - mmengine - INFO - Epoch(train) [3][3340/4451] lr: 9.7846e-02 eta: 2:52:15 time: 0.3203 data_time: 0.0106 memory: 8510 grad_norm: 0.1424 loss: 0.0548 recall@thr=0.5: 0.5905 prec@thr=0.5: 0.5794 recall@top3: 0.9175 prec@top3: 0.5714 recall@top5: 0.9508 prec@top5: 0.3619 loss_action_cls: 0.0548 2022/12/03 18:39:59 - mmengine - INFO - Epoch(train) [3][3360/4451] lr: 9.7820e-02 eta: 2:52:08 time: 0.3195 data_time: 0.0101 memory: 8510 grad_norm: 0.1389 loss: 0.0490 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.6222 recall@top3: 0.7778 prec@top3: 0.6000 recall@top5: 0.8889 prec@top5: 0.4267 loss_action_cls: 0.0490 2022/12/03 18:40:05 - mmengine - INFO - Epoch(train) [3][3380/4451] lr: 9.7795e-02 eta: 2:52:02 time: 0.3187 data_time: 0.0100 memory: 8510 grad_norm: 0.1542 loss: 0.0479 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.4841 recall@top3: 0.6556 prec@top3: 0.5079 recall@top5: 0.8333 prec@top5: 0.4095 loss_action_cls: 0.0479 2022/12/03 18:40:12 - mmengine - INFO - Epoch(train) [3][3400/4451] lr: 9.7769e-02 eta: 2:51:55 time: 0.3204 data_time: 0.0108 memory: 8510 grad_norm: 0.1476 loss: 0.0563 recall@thr=0.5: 0.6608 prec@thr=0.5: 0.6417 recall@top3: 0.7858 prec@top3: 0.5333 recall@top5: 0.9425 prec@top5: 0.4300 loss_action_cls: 0.0563 2022/12/03 18:40:18 - mmengine - INFO - Epoch(train) [3][3420/4451] lr: 9.7742e-02 eta: 2:51:49 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1570 loss: 0.0487 recall@thr=0.5: 0.6132 prec@thr=0.5: 0.7014 recall@top3: 0.7104 prec@top3: 0.6806 recall@top5: 0.8313 prec@top5: 0.4833 loss_action_cls: 0.0487 2022/12/03 18:40:25 - mmengine - INFO - Epoch(train) [3][3440/4451] lr: 9.7716e-02 eta: 2:51:43 time: 0.3202 data_time: 0.0099 memory: 8510 grad_norm: 0.1457 loss: 0.0458 recall@thr=0.5: 0.4062 prec@thr=0.5: 0.5937 recall@top3: 0.8438 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.3500 loss_action_cls: 0.0458 2022/12/03 18:40:31 - mmengine - INFO - Epoch(train) [3][3460/4451] lr: 9.7690e-02 eta: 2:51:36 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.1536 loss: 0.0521 recall@thr=0.5: 0.5179 prec@thr=0.5: 0.5476 recall@top3: 0.8036 prec@top3: 0.5238 recall@top5: 0.9107 prec@top5: 0.3429 loss_action_cls: 0.0521 2022/12/03 18:40:37 - mmengine - INFO - Epoch(train) [3][3480/4451] lr: 9.7663e-02 eta: 2:51:30 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1531 loss: 0.0493 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.6667 recall@top3: 0.7870 prec@top3: 0.5797 recall@top5: 0.8826 prec@top5: 0.3913 loss_action_cls: 0.0493 2022/12/03 18:40:44 - mmengine - INFO - Epoch(train) [3][3500/4451] lr: 9.7636e-02 eta: 2:51:23 time: 0.3191 data_time: 0.0101 memory: 8510 grad_norm: 0.1505 loss: 0.0607 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7315 recall@top3: 0.7917 prec@top3: 0.6111 recall@top5: 0.8102 prec@top5: 0.3778 loss_action_cls: 0.0607 2022/12/03 18:40:50 - mmengine - INFO - Epoch(train) [3][3520/4451] lr: 9.7609e-02 eta: 2:51:17 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.1503 loss: 0.0571 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7083 recall@top3: 0.7708 prec@top3: 0.6875 recall@top5: 0.8750 prec@top5: 0.4875 loss_action_cls: 0.0571 2022/12/03 18:40:57 - mmengine - INFO - Epoch(train) [3][3540/4451] lr: 9.7582e-02 eta: 2:51:11 time: 0.3223 data_time: 0.0102 memory: 8510 grad_norm: 0.1421 loss: 0.0541 recall@thr=0.5: 0.6298 prec@thr=0.5: 0.6994 recall@top3: 0.7012 prec@top3: 0.5357 recall@top5: 0.9143 prec@top5: 0.4357 loss_action_cls: 0.0541 2022/12/03 18:41:03 - mmengine - INFO - Epoch(train) [3][3560/4451] lr: 9.7555e-02 eta: 2:51:04 time: 0.3212 data_time: 0.0121 memory: 8510 grad_norm: 0.1456 loss: 0.0579 recall@thr=0.5: 0.3924 prec@thr=0.5: 0.4549 recall@top3: 0.7951 prec@top3: 0.5833 recall@top5: 0.8819 prec@top5: 0.4000 loss_action_cls: 0.0579 2022/12/03 18:41:09 - mmengine - INFO - Epoch(train) [3][3580/4451] lr: 9.7528e-02 eta: 2:50:58 time: 0.3195 data_time: 0.0096 memory: 8510 grad_norm: 0.1503 loss: 0.0567 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6842 recall@top3: 0.7325 prec@top3: 0.7018 recall@top5: 0.9254 prec@top5: 0.5368 loss_action_cls: 0.0567 2022/12/03 18:41:16 - mmengine - INFO - Epoch(train) [3][3600/4451] lr: 9.7500e-02 eta: 2:50:52 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.1542 loss: 0.0549 recall@thr=0.5: 0.4537 prec@thr=0.5: 0.6728 recall@top3: 0.7160 prec@top3: 0.5679 recall@top5: 0.8827 prec@top5: 0.4444 loss_action_cls: 0.0549 2022/12/03 18:41:22 - mmengine - INFO - Epoch(train) [3][3620/4451] lr: 9.7473e-02 eta: 2:50:45 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.1490 loss: 0.0512 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.7008 recall@top3: 0.8106 prec@top3: 0.5606 recall@top5: 0.8939 prec@top5: 0.3909 loss_action_cls: 0.0512 2022/12/03 18:41:29 - mmengine - INFO - Epoch(train) [3][3640/4451] lr: 9.7445e-02 eta: 2:50:39 time: 0.3211 data_time: 0.0099 memory: 8510 grad_norm: 0.1537 loss: 0.0521 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6176 recall@top3: 0.6765 prec@top3: 0.5294 recall@top5: 0.7647 prec@top5: 0.3765 loss_action_cls: 0.0521 2022/12/03 18:41:35 - mmengine - INFO - Epoch(train) [3][3660/4451] lr: 9.7417e-02 eta: 2:50:32 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.1566 loss: 0.0490 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.6422 recall@top3: 0.6951 prec@top3: 0.6078 recall@top5: 0.8608 prec@top5: 0.4824 loss_action_cls: 0.0490 2022/12/03 18:41:41 - mmengine - INFO - Epoch(train) [3][3680/4451] lr: 9.7389e-02 eta: 2:50:26 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1566 loss: 0.0541 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.8241 recall@top3: 0.8889 prec@top3: 0.7963 recall@top5: 0.9398 prec@top5: 0.5111 loss_action_cls: 0.0541 2022/12/03 18:41:48 - mmengine - INFO - Epoch(train) [3][3700/4451] lr: 9.7361e-02 eta: 2:50:20 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1456 loss: 0.0478 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.5833 recall@top3: 0.7083 prec@top3: 0.5208 recall@top5: 0.8333 prec@top5: 0.3625 loss_action_cls: 0.0478 2022/12/03 18:41:54 - mmengine - INFO - Epoch(train) [3][3720/4451] lr: 9.7333e-02 eta: 2:50:13 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1502 loss: 0.0467 recall@thr=0.5: 0.7939 prec@thr=0.5: 0.8728 recall@top3: 0.8596 prec@top3: 0.7544 recall@top5: 0.9868 prec@top5: 0.5263 loss_action_cls: 0.0467 2022/12/03 18:42:01 - mmengine - INFO - Epoch(train) [3][3740/4451] lr: 9.7304e-02 eta: 2:50:07 time: 0.3193 data_time: 0.0107 memory: 8510 grad_norm: 0.1550 loss: 0.0504 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.9667 recall@top3: 0.8667 prec@top3: 0.8333 recall@top5: 0.9500 prec@top5: 0.5600 loss_action_cls: 0.0504 2022/12/03 18:42:07 - mmengine - INFO - Epoch(train) [3][3760/4451] lr: 9.7275e-02 eta: 2:50:00 time: 0.3204 data_time: 0.0114 memory: 8510 grad_norm: 0.1512 loss: 0.0488 recall@thr=0.5: 0.6131 prec@thr=0.5: 0.7500 recall@top3: 0.7976 prec@top3: 0.5714 recall@top5: 0.9405 prec@top5: 0.4143 loss_action_cls: 0.0488 2022/12/03 18:42:14 - mmengine - INFO - Epoch(train) [3][3780/4451] lr: 9.7247e-02 eta: 2:49:54 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.1560 loss: 0.0578 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.7222 recall@top3: 0.7222 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.5238 loss_action_cls: 0.0578 2022/12/03 18:42:20 - mmengine - INFO - Epoch(train) [3][3800/4451] lr: 9.7218e-02 eta: 2:49:48 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1540 loss: 0.0496 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.6970 recall@top3: 0.7439 prec@top3: 0.6061 recall@top5: 0.9061 prec@top5: 0.4455 loss_action_cls: 0.0496 2022/12/03 18:42:26 - mmengine - INFO - Epoch(train) [3][3820/4451] lr: 9.7189e-02 eta: 2:49:41 time: 0.3206 data_time: 0.0098 memory: 8510 grad_norm: 0.1411 loss: 0.0502 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.8152 recall@top3: 0.7971 prec@top3: 0.6667 recall@top5: 0.8623 prec@top5: 0.4522 loss_action_cls: 0.0502 2022/12/03 18:42:33 - mmengine - INFO - Epoch(train) [3][3840/4451] lr: 9.7159e-02 eta: 2:49:35 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1517 loss: 0.0481 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.4708 recall@top3: 0.8333 prec@top3: 0.4375 recall@top5: 0.9062 prec@top5: 0.3000 loss_action_cls: 0.0481 2022/12/03 18:42:39 - mmengine - INFO - Epoch(train) [3][3860/4451] lr: 9.7130e-02 eta: 2:49:28 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.1421 loss: 0.0528 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7647 recall@top3: 0.7402 prec@top3: 0.5490 recall@top5: 0.8725 prec@top5: 0.4118 loss_action_cls: 0.0528 2022/12/03 18:42:46 - mmengine - INFO - Epoch(train) [3][3880/4451] lr: 9.7100e-02 eta: 2:49:22 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1463 loss: 0.0495 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8125 recall@top3: 0.9375 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0495 2022/12/03 18:42:52 - mmengine - INFO - Epoch(train) [3][3900/4451] lr: 9.7071e-02 eta: 2:49:15 time: 0.3191 data_time: 0.0103 memory: 8510 grad_norm: 0.1488 loss: 0.0558 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.4944 recall@top3: 0.6354 prec@top3: 0.3750 recall@top5: 0.7083 prec@top5: 0.2583 loss_action_cls: 0.0558 2022/12/03 18:42:58 - mmengine - INFO - Epoch(train) [3][3920/4451] lr: 9.7041e-02 eta: 2:49:09 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.1471 loss: 0.0480 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7381 recall@top3: 0.7857 prec@top3: 0.5476 recall@top5: 0.8036 prec@top5: 0.3429 loss_action_cls: 0.0480 2022/12/03 18:43:05 - mmengine - INFO - Epoch(train) [3][3940/4451] lr: 9.7011e-02 eta: 2:49:03 time: 0.3192 data_time: 0.0097 memory: 8510 grad_norm: 0.1418 loss: 0.0458 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8778 recall@top3: 0.8389 prec@top3: 0.6889 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0458 2022/12/03 18:43:11 - mmengine - INFO - Epoch(train) [3][3960/4451] lr: 9.6981e-02 eta: 2:48:56 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1470 loss: 0.0521 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.7100 recall@top3: 0.8400 prec@top3: 0.7200 recall@top5: 0.9867 prec@top5: 0.5360 loss_action_cls: 0.0521 2022/12/03 18:43:18 - mmengine - INFO - Epoch(train) [3][3980/4451] lr: 9.6951e-02 eta: 2:48:50 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.1544 loss: 0.0458 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.5000 recall@top3: 0.6627 prec@top3: 0.5397 recall@top5: 0.8175 prec@top5: 0.4000 loss_action_cls: 0.0458 2022/12/03 18:43:24 - mmengine - INFO - Epoch(train) [3][4000/4451] lr: 9.6920e-02 eta: 2:48:43 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.1580 loss: 0.0469 recall@thr=0.5: 0.6230 prec@thr=0.5: 0.7302 recall@top3: 0.6865 prec@top3: 0.5714 recall@top5: 0.8373 prec@top5: 0.4286 loss_action_cls: 0.0469 2022/12/03 18:43:30 - mmengine - INFO - Epoch(train) [3][4020/4451] lr: 9.6890e-02 eta: 2:48:37 time: 0.3188 data_time: 0.0097 memory: 8510 grad_norm: 0.1450 loss: 0.0504 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5875 recall@top3: 0.7583 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4500 loss_action_cls: 0.0504 2022/12/03 18:43:37 - mmengine - INFO - Epoch(train) [3][4040/4451] lr: 9.6859e-02 eta: 2:48:30 time: 0.3201 data_time: 0.0112 memory: 8510 grad_norm: 0.1538 loss: 0.0552 recall@thr=0.5: 0.4924 prec@thr=0.5: 0.7500 recall@top3: 0.7955 prec@top3: 0.6364 recall@top5: 0.9545 prec@top5: 0.4727 loss_action_cls: 0.0552 2022/12/03 18:43:43 - mmengine - INFO - Epoch(train) [3][4060/4451] lr: 9.6828e-02 eta: 2:48:24 time: 0.3199 data_time: 0.0115 memory: 8510 grad_norm: 0.1545 loss: 0.0500 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.7200 recall@top3: 0.7667 prec@top3: 0.5733 recall@top5: 0.9200 prec@top5: 0.4160 loss_action_cls: 0.0500 2022/12/03 18:43:50 - mmengine - INFO - Epoch(train) [3][4080/4451] lr: 9.6797e-02 eta: 2:48:18 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1513 loss: 0.0593 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7460 recall@top3: 0.8333 prec@top3: 0.6825 recall@top5: 0.8968 prec@top5: 0.4476 loss_action_cls: 0.0593 2022/12/03 18:43:55 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:43:56 - mmengine - INFO - Epoch(train) [3][4100/4451] lr: 9.6766e-02 eta: 2:48:11 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1551 loss: 0.0549 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.7833 recall@top3: 0.7625 prec@top3: 0.5833 recall@top5: 0.8292 prec@top5: 0.3900 loss_action_cls: 0.0549 2022/12/03 18:44:02 - mmengine - INFO - Epoch(train) [3][4120/4451] lr: 9.6735e-02 eta: 2:48:05 time: 0.3200 data_time: 0.0110 memory: 8510 grad_norm: 0.1438 loss: 0.0448 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6222 recall@top3: 0.7778 prec@top3: 0.7111 recall@top5: 0.8222 prec@top5: 0.4533 loss_action_cls: 0.0448 2022/12/03 18:44:09 - mmengine - INFO - Epoch(train) [3][4140/4451] lr: 9.6703e-02 eta: 2:47:58 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1507 loss: 0.0557 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.3810 recall@top3: 0.6032 prec@top3: 0.3968 recall@top5: 0.7778 prec@top5: 0.3333 loss_action_cls: 0.0557 2022/12/03 18:44:15 - mmengine - INFO - Epoch(train) [3][4160/4451] lr: 9.6672e-02 eta: 2:47:52 time: 0.3178 data_time: 0.0115 memory: 8510 grad_norm: 0.1489 loss: 0.0501 recall@thr=0.5: 0.6743 prec@thr=0.5: 0.7986 recall@top3: 0.7819 prec@top3: 0.6667 recall@top5: 0.9542 prec@top5: 0.5250 loss_action_cls: 0.0501 2022/12/03 18:44:21 - mmengine - INFO - Epoch(train) [3][4180/4451] lr: 9.6640e-02 eta: 2:47:45 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.1443 loss: 0.0604 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7105 recall@top3: 0.8465 prec@top3: 0.6316 recall@top5: 0.8947 prec@top5: 0.4105 loss_action_cls: 0.0604 2022/12/03 18:44:28 - mmengine - INFO - Epoch(train) [3][4200/4451] lr: 9.6608e-02 eta: 2:47:39 time: 0.3216 data_time: 0.0122 memory: 8510 grad_norm: 0.1563 loss: 0.0534 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.6867 recall@top3: 0.7547 prec@top3: 0.6800 recall@top5: 0.9320 prec@top5: 0.5520 loss_action_cls: 0.0534 2022/12/03 18:44:34 - mmengine - INFO - Epoch(train) [3][4220/4451] lr: 9.6576e-02 eta: 2:47:33 time: 0.3190 data_time: 0.0108 memory: 8510 grad_norm: 0.1436 loss: 0.0531 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7708 recall@top3: 0.8281 prec@top3: 0.6875 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0531 2022/12/03 18:44:41 - mmengine - INFO - Epoch(train) [3][4240/4451] lr: 9.6544e-02 eta: 2:47:26 time: 0.3199 data_time: 0.0107 memory: 8510 grad_norm: 0.1463 loss: 0.0476 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7037 recall@top3: 0.9321 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.3630 loss_action_cls: 0.0476 2022/12/03 18:44:47 - mmengine - INFO - Epoch(train) [3][4260/4451] lr: 9.6511e-02 eta: 2:47:20 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1562 loss: 0.0528 recall@thr=0.5: 0.8860 prec@thr=0.5: 0.8553 recall@top3: 0.8333 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4421 loss_action_cls: 0.0528 2022/12/03 18:44:54 - mmengine - INFO - Epoch(train) [3][4280/4451] lr: 9.6479e-02 eta: 2:47:13 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1463 loss: 0.0532 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5079 recall@top3: 0.6667 prec@top3: 0.3968 recall@top5: 0.7738 prec@top5: 0.2857 loss_action_cls: 0.0532 2022/12/03 18:45:00 - mmengine - INFO - Epoch(train) [3][4300/4451] lr: 9.6446e-02 eta: 2:47:07 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1465 loss: 0.0510 recall@thr=0.5: 0.6477 prec@thr=0.5: 0.7424 recall@top3: 0.8030 prec@top3: 0.6364 recall@top5: 0.8977 prec@top5: 0.4455 loss_action_cls: 0.0510 2022/12/03 18:45:06 - mmengine - INFO - Epoch(train) [3][4320/4451] lr: 9.6414e-02 eta: 2:47:01 time: 0.3201 data_time: 0.0116 memory: 8510 grad_norm: 0.1373 loss: 0.0528 recall@thr=0.5: 0.5690 prec@thr=0.5: 0.6178 recall@top3: 0.7759 prec@top3: 0.5977 recall@top5: 0.8793 prec@top5: 0.4138 loss_action_cls: 0.0528 2022/12/03 18:45:13 - mmengine - INFO - Epoch(train) [3][4340/4451] lr: 9.6381e-02 eta: 2:46:54 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.1470 loss: 0.0526 recall@thr=0.5: 0.5697 prec@thr=0.5: 0.6667 recall@top3: 0.7818 prec@top3: 0.5758 recall@top5: 0.9364 prec@top5: 0.4273 loss_action_cls: 0.0526 2022/12/03 18:45:19 - mmengine - INFO - Epoch(train) [3][4360/4451] lr: 9.6348e-02 eta: 2:46:48 time: 0.3205 data_time: 0.0096 memory: 8510 grad_norm: 0.1594 loss: 0.0522 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.6935 recall@top3: 0.8261 prec@top3: 0.6232 recall@top5: 0.8913 prec@top5: 0.4174 loss_action_cls: 0.0522 2022/12/03 18:45:26 - mmengine - INFO - Epoch(train) [3][4380/4451] lr: 9.6315e-02 eta: 2:46:41 time: 0.3187 data_time: 0.0105 memory: 8510 grad_norm: 0.1528 loss: 0.0446 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.7639 recall@top3: 0.7083 prec@top3: 0.6111 recall@top5: 0.8819 prec@top5: 0.4417 loss_action_cls: 0.0446 2022/12/03 18:45:32 - mmengine - INFO - Epoch(train) [3][4400/4451] lr: 9.6281e-02 eta: 2:46:35 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1508 loss: 0.0537 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.6444 recall@top3: 0.8022 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0537 2022/12/03 18:45:38 - mmengine - INFO - Epoch(train) [3][4420/4451] lr: 9.6248e-02 eta: 2:46:29 time: 0.3213 data_time: 0.0100 memory: 8510 grad_norm: 0.1543 loss: 0.0487 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.5392 recall@top3: 0.7647 prec@top3: 0.3333 recall@top5: 0.8627 prec@top5: 0.2353 loss_action_cls: 0.0487 2022/12/03 18:45:45 - mmengine - INFO - Epoch(train) [3][4440/4451] lr: 9.6214e-02 eta: 2:46:22 time: 0.3195 data_time: 0.0107 memory: 8510 grad_norm: 0.1513 loss: 0.0457 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6875 recall@top3: 0.7396 prec@top3: 0.5417 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0457 2022/12/03 18:45:48 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:45:48 - mmengine - INFO - Epoch(train) [3][4451/4451] lr: 9.6196e-02 eta: 2:46:18 time: 0.3162 data_time: 0.0098 memory: 8510 grad_norm: 0.1487 loss: 0.0502 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.7083 recall@top3: 0.7778 prec@top3: 0.6389 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0502 2022/12/03 18:45:48 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/12/03 18:45:53 - mmengine - INFO - Epoch(val) [3][ 20/6282] eta: 0:04:39 time: 0.0446 data_time: 0.0080 memory: 661 2022/12/03 18:45:54 - mmengine - INFO - Epoch(val) [3][ 40/6282] eta: 0:04:21 time: 0.0391 data_time: 0.0058 memory: 661 2022/12/03 18:45:55 - mmengine - INFO - Epoch(val) [3][ 60/6282] eta: 0:04:10 time: 0.0372 data_time: 0.0048 memory: 661 2022/12/03 18:45:56 - mmengine - INFO - Epoch(val) [3][ 80/6282] eta: 0:04:07 time: 0.0386 data_time: 0.0041 memory: 661 2022/12/03 18:45:57 - mmengine - INFO - Epoch(val) [3][ 100/6282] eta: 0:04:04 time: 0.0383 data_time: 0.0041 memory: 661 2022/12/03 18:45:57 - mmengine - INFO - Epoch(val) [3][ 120/6282] eta: 0:04:08 time: 0.0441 data_time: 0.0050 memory: 732 2022/12/03 18:45:58 - mmengine - INFO - Epoch(val) [3][ 140/6282] eta: 0:04:14 time: 0.0480 data_time: 0.0050 memory: 732 2022/12/03 18:45:59 - mmengine - INFO - Epoch(val) [3][ 160/6282] eta: 0:04:20 time: 0.0511 data_time: 0.0041 memory: 732 2022/12/03 18:46:00 - mmengine - INFO - Epoch(val) [3][ 180/6282] eta: 0:04:27 time: 0.0537 data_time: 0.0050 memory: 732 2022/12/03 18:46:01 - mmengine - INFO - Epoch(val) [3][ 200/6282] eta: 0:04:30 time: 0.0501 data_time: 0.0070 memory: 732 2022/12/03 18:46:02 - mmengine - INFO - Epoch(val) [3][ 220/6282] eta: 0:04:29 time: 0.0444 data_time: 0.0059 memory: 674 2022/12/03 18:46:03 - mmengine - INFO - Epoch(val) [3][ 240/6282] eta: 0:04:30 time: 0.0473 data_time: 0.0041 memory: 674 2022/12/03 18:46:04 - mmengine - INFO - Epoch(val) [3][ 260/6282] eta: 0:04:29 time: 0.0458 data_time: 0.0056 memory: 674 2022/12/03 18:46:05 - mmengine - INFO - Epoch(val) [3][ 280/6282] eta: 0:04:27 time: 0.0409 data_time: 0.0038 memory: 674 2022/12/03 18:46:06 - mmengine - INFO - Epoch(val) [3][ 300/6282] eta: 0:04:26 time: 0.0445 data_time: 0.0038 memory: 732 2022/12/03 18:46:07 - mmengine - INFO - Epoch(val) [3][ 320/6282] eta: 0:04:27 time: 0.0512 data_time: 0.0079 memory: 732 2022/12/03 18:46:08 - mmengine - INFO - Epoch(val) [3][ 340/6282] eta: 0:04:29 time: 0.0508 data_time: 0.0054 memory: 732 2022/12/03 18:46:09 - mmengine - INFO - Epoch(val) [3][ 360/6282] eta: 0:04:29 time: 0.0502 data_time: 0.0049 memory: 732 2022/12/03 18:46:10 - mmengine - INFO - Epoch(val) [3][ 380/6282] eta: 0:04:29 time: 0.0484 data_time: 0.0047 memory: 732 2022/12/03 18:46:11 - mmengine - INFO - Epoch(val) [3][ 400/6282] eta: 0:04:29 time: 0.0478 data_time: 0.0050 memory: 732 2022/12/03 18:46:12 - mmengine - INFO - Epoch(val) [3][ 420/6282] eta: 0:04:27 time: 0.0430 data_time: 0.0048 memory: 678 2022/12/03 18:46:13 - mmengine - INFO - Epoch(val) [3][ 440/6282] eta: 0:04:25 time: 0.0399 data_time: 0.0033 memory: 678 2022/12/03 18:46:13 - mmengine - INFO - Epoch(val) [3][ 460/6282] eta: 0:04:24 time: 0.0455 data_time: 0.0073 memory: 678 2022/12/03 18:46:14 - mmengine - INFO - Epoch(val) [3][ 480/6282] eta: 0:04:22 time: 0.0432 data_time: 0.0060 memory: 678 2022/12/03 18:46:15 - mmengine - INFO - Epoch(val) [3][ 500/6282] eta: 0:04:21 time: 0.0411 data_time: 0.0036 memory: 678 2022/12/03 18:46:16 - mmengine - INFO - Epoch(val) [3][ 520/6282] eta: 0:04:19 time: 0.0424 data_time: 0.0066 memory: 674 2022/12/03 18:46:17 - mmengine - INFO - Epoch(val) [3][ 540/6282] eta: 0:04:17 time: 0.0400 data_time: 0.0037 memory: 674 2022/12/03 18:46:18 - mmengine - INFO - Epoch(val) [3][ 560/6282] eta: 0:04:16 time: 0.0422 data_time: 0.0043 memory: 674 2022/12/03 18:46:19 - mmengine - INFO - Epoch(val) [3][ 580/6282] eta: 0:04:16 time: 0.0488 data_time: 0.0074 memory: 674 2022/12/03 18:46:20 - mmengine - INFO - Epoch(val) [3][ 600/6282] eta: 0:04:17 time: 0.0590 data_time: 0.0100 memory: 674 2022/12/03 18:46:21 - mmengine - INFO - Epoch(val) [3][ 620/6282] eta: 0:04:18 time: 0.0550 data_time: 0.0107 memory: 674 2022/12/03 18:46:22 - mmengine - INFO - Epoch(val) [3][ 640/6282] eta: 0:04:18 time: 0.0519 data_time: 0.0073 memory: 670 2022/12/03 18:46:23 - mmengine - INFO - Epoch(val) [3][ 660/6282] eta: 0:04:19 time: 0.0565 data_time: 0.0071 memory: 670 2022/12/03 18:46:24 - mmengine - INFO - Epoch(val) [3][ 680/6282] eta: 0:04:19 time: 0.0495 data_time: 0.0068 memory: 670 2022/12/03 18:46:25 - mmengine - INFO - Epoch(val) [3][ 700/6282] eta: 0:04:18 time: 0.0450 data_time: 0.0044 memory: 670 2022/12/03 18:46:26 - mmengine - INFO - Epoch(val) [3][ 720/6282] eta: 0:04:17 time: 0.0493 data_time: 0.0054 memory: 732 2022/12/03 18:46:27 - mmengine - INFO - Epoch(val) [3][ 740/6282] eta: 0:04:17 time: 0.0512 data_time: 0.0053 memory: 732 2022/12/03 18:46:28 - mmengine - INFO - Epoch(val) [3][ 760/6282] eta: 0:04:17 time: 0.0497 data_time: 0.0058 memory: 732 2022/12/03 18:46:29 - mmengine - INFO - Epoch(val) [3][ 780/6282] eta: 0:04:16 time: 0.0495 data_time: 0.0064 memory: 732 2022/12/03 18:46:30 - mmengine - INFO - Epoch(val) [3][ 800/6282] eta: 0:04:16 time: 0.0529 data_time: 0.0068 memory: 732 2022/12/03 18:46:31 - mmengine - INFO - Epoch(val) [3][ 820/6282] eta: 0:04:15 time: 0.0461 data_time: 0.0051 memory: 732 2022/12/03 18:46:32 - mmengine - INFO - Epoch(val) [3][ 840/6282] eta: 0:04:14 time: 0.0461 data_time: 0.0067 memory: 674 2022/12/03 18:46:33 - mmengine - INFO - Epoch(val) [3][ 860/6282] eta: 0:04:13 time: 0.0438 data_time: 0.0059 memory: 674 2022/12/03 18:46:34 - mmengine - INFO - Epoch(val) [3][ 880/6282] eta: 0:04:11 time: 0.0420 data_time: 0.0040 memory: 674 2022/12/03 18:46:34 - mmengine - INFO - Epoch(val) [3][ 900/6282] eta: 0:04:09 time: 0.0403 data_time: 0.0053 memory: 674 2022/12/03 18:46:35 - mmengine - INFO - Epoch(val) [3][ 920/6282] eta: 0:04:08 time: 0.0442 data_time: 0.0046 memory: 674 2022/12/03 18:46:36 - mmengine - INFO - Epoch(val) [3][ 940/6282] eta: 0:04:07 time: 0.0413 data_time: 0.0049 memory: 661 2022/12/03 18:46:37 - mmengine - INFO - Epoch(val) [3][ 960/6282] eta: 0:04:05 time: 0.0398 data_time: 0.0038 memory: 661 2022/12/03 18:46:38 - mmengine - INFO - Epoch(val) [3][ 980/6282] eta: 0:04:04 time: 0.0424 data_time: 0.0046 memory: 661 2022/12/03 18:46:39 - mmengine - INFO - Epoch(val) [3][1000/6282] eta: 0:04:02 time: 0.0370 data_time: 0.0043 memory: 661 2022/12/03 18:46:39 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:04:01 time: 0.0413 data_time: 0.0062 memory: 674 2022/12/03 18:46:40 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:03:59 time: 0.0445 data_time: 0.0072 memory: 674 2022/12/03 18:46:41 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:03:59 time: 0.0487 data_time: 0.0074 memory: 674 2022/12/03 18:46:42 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:03:59 time: 0.0518 data_time: 0.0059 memory: 674 2022/12/03 18:46:43 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:03:58 time: 0.0496 data_time: 0.0070 memory: 674 2022/12/03 18:46:44 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:03:58 time: 0.0573 data_time: 0.0098 memory: 674 2022/12/03 18:46:46 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:03:58 time: 0.0548 data_time: 0.0082 memory: 674 2022/12/03 18:46:47 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:03:58 time: 0.0569 data_time: 0.0096 memory: 674 2022/12/03 18:46:48 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:03:57 time: 0.0519 data_time: 0.0063 memory: 674 2022/12/03 18:46:49 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:03:57 time: 0.0531 data_time: 0.0090 memory: 674 2022/12/03 18:46:50 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:03:57 time: 0.0520 data_time: 0.0091 memory: 674 2022/12/03 18:46:51 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:03:57 time: 0.0629 data_time: 0.0110 memory: 732 2022/12/03 18:46:52 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:03:57 time: 0.0609 data_time: 0.0090 memory: 732 2022/12/03 18:46:53 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:03:57 time: 0.0537 data_time: 0.0066 memory: 732 2022/12/03 18:46:54 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:03:56 time: 0.0501 data_time: 0.0075 memory: 732 2022/12/03 18:46:55 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:03:55 time: 0.0514 data_time: 0.0067 memory: 732 2022/12/03 18:46:57 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:03:55 time: 0.0575 data_time: 0.0122 memory: 732 2022/12/03 18:46:58 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:03:54 time: 0.0482 data_time: 0.0057 memory: 732 2022/12/03 18:46:58 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:03:53 time: 0.0456 data_time: 0.0045 memory: 732 2022/12/03 18:46:59 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:03:52 time: 0.0450 data_time: 0.0045 memory: 732 2022/12/03 18:47:00 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:03:51 time: 0.0480 data_time: 0.0039 memory: 732 2022/12/03 18:47:01 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:03:50 time: 0.0452 data_time: 0.0037 memory: 732 2022/12/03 18:47:02 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:03:49 time: 0.0439 data_time: 0.0039 memory: 732 2022/12/03 18:47:03 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:03:47 time: 0.0431 data_time: 0.0038 memory: 732 2022/12/03 18:47:04 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:03:46 time: 0.0460 data_time: 0.0040 memory: 732 2022/12/03 18:47:05 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:03:45 time: 0.0446 data_time: 0.0035 memory: 819 2022/12/03 18:47:06 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:03:44 time: 0.0492 data_time: 0.0036 memory: 819 2022/12/03 18:47:07 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:03:44 time: 0.0488 data_time: 0.0035 memory: 819 2022/12/03 18:47:08 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:03:43 time: 0.0530 data_time: 0.0060 memory: 819 2022/12/03 18:47:09 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:03:42 time: 0.0491 data_time: 0.0032 memory: 819 2022/12/03 18:47:10 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:03:41 time: 0.0501 data_time: 0.0041 memory: 819 2022/12/03 18:47:11 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:03:40 time: 0.0427 data_time: 0.0037 memory: 732 2022/12/03 18:47:12 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:03:39 time: 0.0509 data_time: 0.0066 memory: 732 2022/12/03 18:47:13 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:03:39 time: 0.0569 data_time: 0.0069 memory: 732 2022/12/03 18:47:14 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:03:38 time: 0.0512 data_time: 0.0050 memory: 732 2022/12/03 18:47:15 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:03:37 time: 0.0535 data_time: 0.0058 memory: 732 2022/12/03 18:47:16 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:03:37 time: 0.0487 data_time: 0.0062 memory: 732 2022/12/03 18:47:17 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:03:36 time: 0.0583 data_time: 0.0085 memory: 732 2022/12/03 18:47:18 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:03:35 time: 0.0518 data_time: 0.0049 memory: 732 2022/12/03 18:47:19 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:03:34 time: 0.0499 data_time: 0.0060 memory: 732 2022/12/03 18:47:20 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:03:34 time: 0.0509 data_time: 0.0071 memory: 732 2022/12/03 18:47:21 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:03:33 time: 0.0506 data_time: 0.0058 memory: 732 2022/12/03 18:47:22 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:03:32 time: 0.0507 data_time: 0.0067 memory: 732 2022/12/03 18:47:23 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:03:31 time: 0.0514 data_time: 0.0075 memory: 732 2022/12/03 18:47:24 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:03:30 time: 0.0531 data_time: 0.0065 memory: 732 2022/12/03 18:47:25 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:03:30 time: 0.0500 data_time: 0.0049 memory: 732 2022/12/03 18:47:26 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:03:29 time: 0.0468 data_time: 0.0049 memory: 732 2022/12/03 18:47:27 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:03:27 time: 0.0403 data_time: 0.0044 memory: 678 2022/12/03 18:47:28 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:03:26 time: 0.0434 data_time: 0.0069 memory: 678 2022/12/03 18:47:29 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:03:25 time: 0.0455 data_time: 0.0075 memory: 678 2022/12/03 18:47:30 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:03:24 time: 0.0431 data_time: 0.0049 memory: 678 2022/12/03 18:47:31 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:03:23 time: 0.0416 data_time: 0.0047 memory: 678 2022/12/03 18:47:31 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:03:21 time: 0.0435 data_time: 0.0049 memory: 678 2022/12/03 18:47:32 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:03:20 time: 0.0426 data_time: 0.0053 memory: 678 2022/12/03 18:47:33 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:03:19 time: 0.0449 data_time: 0.0054 memory: 678 2022/12/03 18:47:34 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:03:18 time: 0.0422 data_time: 0.0051 memory: 678 2022/12/03 18:47:35 - mmengine - INFO - Epoch(val) [3][2140/6282] eta: 0:03:17 time: 0.0446 data_time: 0.0054 memory: 678 2022/12/03 18:47:36 - mmengine - INFO - Epoch(val) [3][2160/6282] eta: 0:03:16 time: 0.0406 data_time: 0.0045 memory: 674 2022/12/03 18:47:37 - mmengine - INFO - Epoch(val) [3][2180/6282] eta: 0:03:15 time: 0.0417 data_time: 0.0043 memory: 674 2022/12/03 18:47:37 - mmengine - INFO - Epoch(val) [3][2200/6282] eta: 0:03:13 time: 0.0427 data_time: 0.0046 memory: 674 2022/12/03 18:47:38 - mmengine - INFO - Epoch(val) [3][2220/6282] eta: 0:03:12 time: 0.0433 data_time: 0.0045 memory: 674 2022/12/03 18:47:39 - mmengine - INFO - Epoch(val) [3][2240/6282] eta: 0:03:11 time: 0.0453 data_time: 0.0057 memory: 674 2022/12/03 18:47:40 - mmengine - INFO - Epoch(val) [3][2260/6282] eta: 0:03:10 time: 0.0447 data_time: 0.0056 memory: 678 2022/12/03 18:47:41 - mmengine - INFO - Epoch(val) [3][2280/6282] eta: 0:03:09 time: 0.0473 data_time: 0.0061 memory: 678 2022/12/03 18:47:42 - mmengine - INFO - Epoch(val) [3][2300/6282] eta: 0:03:08 time: 0.0434 data_time: 0.0045 memory: 678 2022/12/03 18:47:43 - mmengine - INFO - Epoch(val) [3][2320/6282] eta: 0:03:07 time: 0.0470 data_time: 0.0071 memory: 678 2022/12/03 18:47:44 - mmengine - INFO - Epoch(val) [3][2340/6282] eta: 0:03:06 time: 0.0485 data_time: 0.0047 memory: 678 2022/12/03 18:47:45 - mmengine - INFO - Epoch(val) [3][2360/6282] eta: 0:03:06 time: 0.0549 data_time: 0.0108 memory: 674 2022/12/03 18:47:46 - mmengine - INFO - Epoch(val) [3][2380/6282] eta: 0:03:05 time: 0.0451 data_time: 0.0046 memory: 674 2022/12/03 18:47:47 - mmengine - INFO - Epoch(val) [3][2400/6282] eta: 0:03:04 time: 0.0484 data_time: 0.0047 memory: 674 2022/12/03 18:47:48 - mmengine - INFO - Epoch(val) [3][2420/6282] eta: 0:03:03 time: 0.0461 data_time: 0.0067 memory: 674 2022/12/03 18:47:49 - mmengine - INFO - Epoch(val) [3][2440/6282] eta: 0:03:02 time: 0.0453 data_time: 0.0054 memory: 674 2022/12/03 18:47:50 - mmengine - INFO - Epoch(val) [3][2460/6282] eta: 0:03:01 time: 0.0531 data_time: 0.0071 memory: 732 2022/12/03 18:47:51 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:03:00 time: 0.0537 data_time: 0.0085 memory: 732 2022/12/03 18:47:52 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:02:59 time: 0.0542 data_time: 0.0069 memory: 732 2022/12/03 18:47:53 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:02:59 time: 0.0489 data_time: 0.0054 memory: 732 2022/12/03 18:47:54 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:02:58 time: 0.0533 data_time: 0.0068 memory: 732 2022/12/03 18:47:55 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:02:57 time: 0.0492 data_time: 0.0054 memory: 732 2022/12/03 18:47:56 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:02:56 time: 0.0519 data_time: 0.0091 memory: 732 2022/12/03 18:47:57 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:02:55 time: 0.0521 data_time: 0.0070 memory: 732 2022/12/03 18:47:58 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:02:54 time: 0.0517 data_time: 0.0055 memory: 732 2022/12/03 18:47:59 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:02:53 time: 0.0517 data_time: 0.0076 memory: 732 2022/12/03 18:48:00 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:02:53 time: 0.0537 data_time: 0.0033 memory: 811 2022/12/03 18:48:01 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:02:52 time: 0.0510 data_time: 0.0035 memory: 811 2022/12/03 18:48:02 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:02:51 time: 0.0558 data_time: 0.0058 memory: 811 2022/12/03 18:48:03 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:02:50 time: 0.0495 data_time: 0.0045 memory: 811 2022/12/03 18:48:04 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:02:49 time: 0.0551 data_time: 0.0054 memory: 811 2022/12/03 18:48:05 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:02:48 time: 0.0408 data_time: 0.0069 memory: 678 2022/12/03 18:48:06 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:02:47 time: 0.0418 data_time: 0.0044 memory: 678 2022/12/03 18:48:07 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:02:46 time: 0.0387 data_time: 0.0041 memory: 678 2022/12/03 18:48:08 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:02:45 time: 0.0403 data_time: 0.0050 memory: 678 2022/12/03 18:48:08 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:02:44 time: 0.0417 data_time: 0.0045 memory: 678 2022/12/03 18:48:09 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:02:43 time: 0.0431 data_time: 0.0043 memory: 732 2022/12/03 18:48:10 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:02:42 time: 0.0459 data_time: 0.0047 memory: 732 2022/12/03 18:48:11 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:02:41 time: 0.0468 data_time: 0.0050 memory: 732 2022/12/03 18:48:12 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:02:40 time: 0.0444 data_time: 0.0049 memory: 732 2022/12/03 18:48:13 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:02:39 time: 0.0438 data_time: 0.0037 memory: 701 2022/12/03 18:48:14 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:02:38 time: 0.0421 data_time: 0.0043 memory: 701 2022/12/03 18:48:15 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:02:36 time: 0.0408 data_time: 0.0047 memory: 701 2022/12/03 18:48:15 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:02:35 time: 0.0402 data_time: 0.0035 memory: 701 2022/12/03 18:48:16 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:02:34 time: 0.0475 data_time: 0.0043 memory: 732 2022/12/03 18:48:17 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:02:33 time: 0.0475 data_time: 0.0056 memory: 732 2022/12/03 18:48:18 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:02:32 time: 0.0435 data_time: 0.0039 memory: 732 2022/12/03 18:48:19 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:02:31 time: 0.0467 data_time: 0.0051 memory: 732 2022/12/03 18:48:20 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:02:30 time: 0.0434 data_time: 0.0041 memory: 732 2022/12/03 18:48:21 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:02:29 time: 0.0425 data_time: 0.0061 memory: 678 2022/12/03 18:48:22 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:02:28 time: 0.0419 data_time: 0.0053 memory: 678 2022/12/03 18:48:23 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:02:27 time: 0.0443 data_time: 0.0061 memory: 678 2022/12/03 18:48:23 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:02:26 time: 0.0432 data_time: 0.0058 memory: 678 2022/12/03 18:48:24 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:02:25 time: 0.0449 data_time: 0.0043 memory: 732 2022/12/03 18:48:25 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:02:24 time: 0.0456 data_time: 0.0041 memory: 732 2022/12/03 18:48:26 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:02:23 time: 0.0481 data_time: 0.0043 memory: 732 2022/12/03 18:48:27 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:02:22 time: 0.0439 data_time: 0.0035 memory: 732 2022/12/03 18:48:28 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:02:21 time: 0.0461 data_time: 0.0052 memory: 732 2022/12/03 18:48:29 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:02:20 time: 0.0465 data_time: 0.0059 memory: 732 2022/12/03 18:48:30 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:02:19 time: 0.0465 data_time: 0.0060 memory: 732 2022/12/03 18:48:31 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:02:18 time: 0.0464 data_time: 0.0048 memory: 732 2022/12/03 18:48:32 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:02:18 time: 0.0470 data_time: 0.0049 memory: 732 2022/12/03 18:48:33 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:02:17 time: 0.0435 data_time: 0.0044 memory: 732 2022/12/03 18:48:34 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:02:16 time: 0.0444 data_time: 0.0049 memory: 674 2022/12/03 18:48:34 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:02:15 time: 0.0419 data_time: 0.0054 memory: 674 2022/12/03 18:48:35 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:02:13 time: 0.0426 data_time: 0.0060 memory: 674 2022/12/03 18:48:36 - mmengine - INFO - Epoch(val) [3][3460/6282] eta: 0:02:12 time: 0.0435 data_time: 0.0060 memory: 674 2022/12/03 18:48:37 - mmengine - INFO - Epoch(val) [3][3480/6282] eta: 0:02:12 time: 0.0442 data_time: 0.0058 memory: 674 2022/12/03 18:48:38 - mmengine - INFO - Epoch(val) [3][3500/6282] eta: 0:02:10 time: 0.0431 data_time: 0.0077 memory: 674 2022/12/03 18:48:39 - mmengine - INFO - Epoch(val) [3][3520/6282] eta: 0:02:09 time: 0.0426 data_time: 0.0061 memory: 674 2022/12/03 18:48:40 - mmengine - INFO - Epoch(val) [3][3540/6282] eta: 0:02:08 time: 0.0424 data_time: 0.0061 memory: 674 2022/12/03 18:48:40 - mmengine - INFO - Epoch(val) [3][3560/6282] eta: 0:02:07 time: 0.0413 data_time: 0.0044 memory: 674 2022/12/03 18:48:41 - mmengine - INFO - Epoch(val) [3][3580/6282] eta: 0:02:07 time: 0.0473 data_time: 0.0045 memory: 715 2022/12/03 18:48:42 - mmengine - INFO - Epoch(val) [3][3600/6282] eta: 0:02:06 time: 0.0474 data_time: 0.0062 memory: 715 2022/12/03 18:48:43 - mmengine - INFO - Epoch(val) [3][3620/6282] eta: 0:02:05 time: 0.0474 data_time: 0.0049 memory: 715 2022/12/03 18:48:44 - mmengine - INFO - Epoch(val) [3][3640/6282] eta: 0:02:04 time: 0.0429 data_time: 0.0054 memory: 715 2022/12/03 18:48:45 - mmengine - INFO - Epoch(val) [3][3660/6282] eta: 0:02:03 time: 0.0471 data_time: 0.0054 memory: 715 2022/12/03 18:48:46 - mmengine - INFO - Epoch(val) [3][3680/6282] eta: 0:02:02 time: 0.0462 data_time: 0.0038 memory: 732 2022/12/03 18:48:47 - mmengine - INFO - Epoch(val) [3][3700/6282] eta: 0:02:01 time: 0.0469 data_time: 0.0046 memory: 732 2022/12/03 18:48:48 - mmengine - INFO - Epoch(val) [3][3720/6282] eta: 0:02:00 time: 0.0479 data_time: 0.0040 memory: 732 2022/12/03 18:48:49 - mmengine - INFO - Epoch(val) [3][3740/6282] eta: 0:01:59 time: 0.0470 data_time: 0.0038 memory: 732 2022/12/03 18:48:50 - mmengine - INFO - Epoch(val) [3][3760/6282] eta: 0:01:58 time: 0.0462 data_time: 0.0037 memory: 732 2022/12/03 18:48:51 - mmengine - INFO - Epoch(val) [3][3780/6282] eta: 0:01:57 time: 0.0482 data_time: 0.0040 memory: 732 2022/12/03 18:48:52 - mmengine - INFO - Epoch(val) [3][3800/6282] eta: 0:01:56 time: 0.0457 data_time: 0.0056 memory: 732 2022/12/03 18:48:53 - mmengine - INFO - Epoch(val) [3][3820/6282] eta: 0:01:55 time: 0.0456 data_time: 0.0056 memory: 732 2022/12/03 18:48:53 - mmengine - INFO - Epoch(val) [3][3840/6282] eta: 0:01:54 time: 0.0430 data_time: 0.0032 memory: 732 2022/12/03 18:48:54 - mmengine - INFO - Epoch(val) [3][3860/6282] eta: 0:01:53 time: 0.0420 data_time: 0.0042 memory: 732 2022/12/03 18:48:55 - mmengine - INFO - Epoch(val) [3][3880/6282] eta: 0:01:52 time: 0.0438 data_time: 0.0027 memory: 732 2022/12/03 18:48:56 - mmengine - INFO - Epoch(val) [3][3900/6282] eta: 0:01:51 time: 0.0462 data_time: 0.0037 memory: 732 2022/12/03 18:48:57 - mmengine - INFO - Epoch(val) [3][3920/6282] eta: 0:01:50 time: 0.0474 data_time: 0.0039 memory: 732 2022/12/03 18:48:58 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:01:49 time: 0.0473 data_time: 0.0042 memory: 732 2022/12/03 18:48:59 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:01:48 time: 0.0457 data_time: 0.0037 memory: 732 2022/12/03 18:49:00 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:01:47 time: 0.0454 data_time: 0.0048 memory: 732 2022/12/03 18:49:01 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:01:47 time: 0.0448 data_time: 0.0040 memory: 732 2022/12/03 18:49:02 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:01:46 time: 0.0453 data_time: 0.0049 memory: 732 2022/12/03 18:49:03 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:01:45 time: 0.0462 data_time: 0.0048 memory: 811 2022/12/03 18:49:04 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:01:44 time: 0.0488 data_time: 0.0042 memory: 811 2022/12/03 18:49:05 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:01:43 time: 0.0503 data_time: 0.0038 memory: 811 2022/12/03 18:49:06 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:01:42 time: 0.0503 data_time: 0.0042 memory: 811 2022/12/03 18:49:07 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:01:41 time: 0.0517 data_time: 0.0045 memory: 811 2022/12/03 18:49:08 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:01:40 time: 0.0477 data_time: 0.0058 memory: 811 2022/12/03 18:49:08 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:01:39 time: 0.0399 data_time: 0.0043 memory: 674 2022/12/03 18:49:09 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:01:38 time: 0.0400 data_time: 0.0035 memory: 674 2022/12/03 18:49:10 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:01:37 time: 0.0398 data_time: 0.0050 memory: 674 2022/12/03 18:49:11 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:01:36 time: 0.0406 data_time: 0.0044 memory: 674 2022/12/03 18:49:12 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:01:35 time: 0.0402 data_time: 0.0052 memory: 674 2022/12/03 18:49:12 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:01:34 time: 0.0405 data_time: 0.0049 memory: 672 2022/12/03 18:49:13 - mmengine - INFO - Epoch(val) [3][4280/6282] eta: 0:01:33 time: 0.0423 data_time: 0.0067 memory: 672 2022/12/03 18:49:14 - mmengine - INFO - Epoch(val) [3][4300/6282] eta: 0:01:32 time: 0.0405 data_time: 0.0040 memory: 672 2022/12/03 18:49:15 - mmengine - INFO - Epoch(val) [3][4320/6282] eta: 0:01:31 time: 0.0430 data_time: 0.0038 memory: 672 2022/12/03 18:49:16 - mmengine - INFO - Epoch(val) [3][4340/6282] eta: 0:01:30 time: 0.0402 data_time: 0.0037 memory: 672 2022/12/03 18:49:17 - mmengine - INFO - Epoch(val) [3][4360/6282] eta: 0:01:29 time: 0.0461 data_time: 0.0048 memory: 732 2022/12/03 18:49:18 - mmengine - INFO - Epoch(val) [3][4380/6282] eta: 0:01:28 time: 0.0455 data_time: 0.0039 memory: 732 2022/12/03 18:49:18 - mmengine - INFO - Epoch(val) [3][4400/6282] eta: 0:01:27 time: 0.0456 data_time: 0.0049 memory: 732 2022/12/03 18:49:19 - mmengine - INFO - Epoch(val) [3][4420/6282] eta: 0:01:26 time: 0.0416 data_time: 0.0037 memory: 732 2022/12/03 18:49:20 - mmengine - INFO - Epoch(val) [3][4440/6282] eta: 0:01:25 time: 0.0466 data_time: 0.0049 memory: 739 2022/12/03 18:49:21 - mmengine - INFO - Epoch(val) [3][4460/6282] eta: 0:01:24 time: 0.0460 data_time: 0.0041 memory: 739 2022/12/03 18:49:22 - mmengine - INFO - Epoch(val) [3][4480/6282] eta: 0:01:24 time: 0.0463 data_time: 0.0045 memory: 739 2022/12/03 18:49:23 - mmengine - INFO - Epoch(val) [3][4500/6282] eta: 0:01:23 time: 0.0469 data_time: 0.0029 memory: 739 2022/12/03 18:49:24 - mmengine - INFO - Epoch(val) [3][4520/6282] eta: 0:01:22 time: 0.0440 data_time: 0.0040 memory: 739 2022/12/03 18:49:25 - mmengine - INFO - Epoch(val) [3][4540/6282] eta: 0:01:21 time: 0.0418 data_time: 0.0043 memory: 678 2022/12/03 18:49:26 - mmengine - INFO - Epoch(val) [3][4560/6282] eta: 0:01:20 time: 0.0398 data_time: 0.0055 memory: 678 2022/12/03 18:49:26 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:19 time: 0.0411 data_time: 0.0049 memory: 678 2022/12/03 18:49:27 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:18 time: 0.0395 data_time: 0.0046 memory: 678 2022/12/03 18:49:28 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:01:17 time: 0.0398 data_time: 0.0047 memory: 678 2022/12/03 18:49:29 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:16 time: 0.0436 data_time: 0.0053 memory: 739 2022/12/03 18:49:30 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:01:15 time: 0.0450 data_time: 0.0050 memory: 739 2022/12/03 18:49:31 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:14 time: 0.0428 data_time: 0.0036 memory: 739 2022/12/03 18:49:32 - mmengine - INFO - Epoch(val) [3][4700/6282] eta: 0:01:13 time: 0.0451 data_time: 0.0043 memory: 739 2022/12/03 18:49:32 - mmengine - INFO - Epoch(val) [3][4720/6282] eta: 0:01:12 time: 0.0457 data_time: 0.0046 memory: 739 2022/12/03 18:49:33 - mmengine - INFO - Epoch(val) [3][4740/6282] eta: 0:01:11 time: 0.0448 data_time: 0.0061 memory: 698 2022/12/03 18:49:34 - mmengine - INFO - Epoch(val) [3][4760/6282] eta: 0:01:10 time: 0.0431 data_time: 0.0035 memory: 698 2022/12/03 18:49:35 - mmengine - INFO - Epoch(val) [3][4780/6282] eta: 0:01:09 time: 0.0445 data_time: 0.0051 memory: 698 2022/12/03 18:49:36 - mmengine - INFO - Epoch(val) [3][4800/6282] eta: 0:01:08 time: 0.0401 data_time: 0.0048 memory: 698 2022/12/03 18:49:37 - mmengine - INFO - Epoch(val) [3][4820/6282] eta: 0:01:07 time: 0.0470 data_time: 0.0063 memory: 732 2022/12/03 18:49:38 - mmengine - INFO - Epoch(val) [3][4840/6282] eta: 0:01:06 time: 0.0475 data_time: 0.0037 memory: 732 2022/12/03 18:49:39 - mmengine - INFO - Epoch(val) [3][4860/6282] eta: 0:01:05 time: 0.0479 data_time: 0.0032 memory: 732 2022/12/03 18:49:40 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:05 time: 0.0455 data_time: 0.0035 memory: 732 2022/12/03 18:49:41 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:04 time: 0.0497 data_time: 0.0069 memory: 732 2022/12/03 18:49:42 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:01:03 time: 0.0470 data_time: 0.0053 memory: 735 2022/12/03 18:49:43 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:01:02 time: 0.0469 data_time: 0.0054 memory: 735 2022/12/03 18:49:44 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:01 time: 0.0483 data_time: 0.0061 memory: 735 2022/12/03 18:49:45 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:01:00 time: 0.0494 data_time: 0.0054 memory: 735 2022/12/03 18:49:46 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:00:59 time: 0.0483 data_time: 0.0059 memory: 735 2022/12/03 18:49:46 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:00:58 time: 0.0470 data_time: 0.0046 memory: 735 2022/12/03 18:49:47 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:00:57 time: 0.0393 data_time: 0.0046 memory: 678 2022/12/03 18:49:48 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:00:56 time: 0.0440 data_time: 0.0053 memory: 678 2022/12/03 18:49:49 - mmengine - INFO - Epoch(val) [3][5080/6282] eta: 0:00:55 time: 0.0434 data_time: 0.0076 memory: 678 2022/12/03 18:49:50 - mmengine - INFO - Epoch(val) [3][5100/6282] eta: 0:00:54 time: 0.0430 data_time: 0.0053 memory: 678 2022/12/03 18:49:51 - mmengine - INFO - Epoch(val) [3][5120/6282] eta: 0:00:53 time: 0.0429 data_time: 0.0053 memory: 678 2022/12/03 18:49:52 - mmengine - INFO - Epoch(val) [3][5140/6282] eta: 0:00:52 time: 0.0428 data_time: 0.0045 memory: 674 2022/12/03 18:49:52 - mmengine - INFO - Epoch(val) [3][5160/6282] eta: 0:00:51 time: 0.0447 data_time: 0.0064 memory: 674 2022/12/03 18:49:53 - mmengine - INFO - Epoch(val) [3][5180/6282] eta: 0:00:51 time: 0.0417 data_time: 0.0038 memory: 674 2022/12/03 18:49:54 - mmengine - INFO - Epoch(val) [3][5200/6282] eta: 0:00:50 time: 0.0416 data_time: 0.0038 memory: 674 2022/12/03 18:49:55 - mmengine - INFO - Epoch(val) [3][5220/6282] eta: 0:00:49 time: 0.0420 data_time: 0.0047 memory: 674 2022/12/03 18:49:56 - mmengine - INFO - Epoch(val) [3][5240/6282] eta: 0:00:48 time: 0.0446 data_time: 0.0062 memory: 672 2022/12/03 18:49:57 - mmengine - INFO - Epoch(val) [3][5260/6282] eta: 0:00:47 time: 0.0464 data_time: 0.0083 memory: 672 2022/12/03 18:49:58 - mmengine - INFO - Epoch(val) [3][5280/6282] eta: 0:00:46 time: 0.0419 data_time: 0.0035 memory: 672 2022/12/03 18:49:59 - mmengine - INFO - Epoch(val) [3][5300/6282] eta: 0:00:45 time: 0.0433 data_time: 0.0053 memory: 672 2022/12/03 18:49:59 - mmengine - INFO - Epoch(val) [3][5320/6282] eta: 0:00:44 time: 0.0449 data_time: 0.0058 memory: 674 2022/12/03 18:50:00 - mmengine - INFO - Epoch(val) [3][5340/6282] eta: 0:00:43 time: 0.0408 data_time: 0.0055 memory: 674 2022/12/03 18:50:01 - mmengine - INFO - Epoch(val) [3][5360/6282] eta: 0:00:42 time: 0.0447 data_time: 0.0057 memory: 674 2022/12/03 18:50:02 - mmengine - INFO - Epoch(val) [3][5380/6282] eta: 0:00:41 time: 0.0436 data_time: 0.0040 memory: 674 2022/12/03 18:50:03 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:00:40 time: 0.0444 data_time: 0.0072 memory: 674 2022/12/03 18:50:04 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:39 time: 0.0426 data_time: 0.0051 memory: 674 2022/12/03 18:50:05 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:00:38 time: 0.0411 data_time: 0.0051 memory: 674 2022/12/03 18:50:05 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:37 time: 0.0435 data_time: 0.0058 memory: 674 2022/12/03 18:50:06 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:37 time: 0.0426 data_time: 0.0061 memory: 674 2022/12/03 18:50:07 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:36 time: 0.0421 data_time: 0.0059 memory: 674 2022/12/03 18:50:08 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:00:35 time: 0.0457 data_time: 0.0059 memory: 694 2022/12/03 18:50:09 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:00:34 time: 0.0455 data_time: 0.0062 memory: 694 2022/12/03 18:50:10 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:33 time: 0.0444 data_time: 0.0063 memory: 694 2022/12/03 18:50:11 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:00:32 time: 0.0448 data_time: 0.0045 memory: 694 2022/12/03 18:50:12 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:00:31 time: 0.0458 data_time: 0.0058 memory: 694 2022/12/03 18:50:13 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:00:30 time: 0.0438 data_time: 0.0064 memory: 694 2022/12/03 18:50:13 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:00:29 time: 0.0409 data_time: 0.0042 memory: 674 2022/12/03 18:50:14 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:28 time: 0.0386 data_time: 0.0035 memory: 674 2022/12/03 18:50:15 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:27 time: 0.0409 data_time: 0.0050 memory: 674 2022/12/03 18:50:16 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:26 time: 0.0400 data_time: 0.0054 memory: 674 2022/12/03 18:50:17 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:25 time: 0.0447 data_time: 0.0073 memory: 707 2022/12/03 18:50:18 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:24 time: 0.0452 data_time: 0.0055 memory: 707 2022/12/03 18:50:19 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:24 time: 0.0446 data_time: 0.0040 memory: 707 2022/12/03 18:50:20 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:23 time: 0.0486 data_time: 0.0063 memory: 707 2022/12/03 18:50:20 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:22 time: 0.0458 data_time: 0.0067 memory: 707 2022/12/03 18:50:21 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:21 time: 0.0428 data_time: 0.0043 memory: 707 2022/12/03 18:50:22 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:20 time: 0.0441 data_time: 0.0048 memory: 694 2022/12/03 18:50:23 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:19 time: 0.0408 data_time: 0.0041 memory: 694 2022/12/03 18:50:24 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:18 time: 0.0423 data_time: 0.0041 memory: 694 2022/12/03 18:50:25 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:00:17 time: 0.0431 data_time: 0.0045 memory: 694 2022/12/03 18:50:26 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:00:16 time: 0.0407 data_time: 0.0042 memory: 694 2022/12/03 18:50:26 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:15 time: 0.0355 data_time: 0.0039 memory: 674 2022/12/03 18:50:27 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:14 time: 0.0310 data_time: 0.0024 memory: 674 2022/12/03 18:50:27 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:00:13 time: 0.0291 data_time: 0.0018 memory: 674 2022/12/03 18:50:28 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:12 time: 0.0324 data_time: 0.0020 memory: 732 2022/12/03 18:50:29 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:11 time: 0.0341 data_time: 0.0020 memory: 732 2022/12/03 18:50:29 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:11 time: 0.0337 data_time: 0.0021 memory: 732 2022/12/03 18:50:30 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:10 time: 0.0336 data_time: 0.0020 memory: 732 2022/12/03 18:50:31 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:00:09 time: 0.0337 data_time: 0.0019 memory: 732 2022/12/03 18:50:31 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:08 time: 0.0336 data_time: 0.0019 memory: 732 2022/12/03 18:50:32 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:07 time: 0.0337 data_time: 0.0019 memory: 732 2022/12/03 18:50:33 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:06 time: 0.0333 data_time: 0.0018 memory: 732 2022/12/03 18:50:33 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:05 time: 0.0332 data_time: 0.0019 memory: 732 2022/12/03 18:50:34 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:04 time: 0.0328 data_time: 0.0017 memory: 732 2022/12/03 18:50:35 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:03 time: 0.0328 data_time: 0.0018 memory: 732 2022/12/03 18:50:35 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:02 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 18:50:36 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:01 time: 0.0324 data_time: 0.0016 memory: 732 2022/12/03 18:50:37 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:00 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 18:50:37 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0320 data_time: 0.0014 memory: 732 2022/12/03 18:55:14 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2685 2022/12/03 18:55:14 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2022/12/03 18:55:16 - mmengine - INFO - The best checkpoint with 0.2685 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2022/12/03 18:55:23 - mmengine - INFO - Epoch(train) [4][ 20/4451] lr: 9.6162e-02 eta: 2:46:13 time: 0.3334 data_time: 0.0247 memory: 8510 grad_norm: 0.1510 loss: 0.0477 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.6875 recall@top3: 0.8083 prec@top3: 0.5500 recall@top5: 0.8750 prec@top5: 0.3700 loss_action_cls: 0.0477 2022/12/03 18:55:29 - mmengine - INFO - Epoch(train) [4][ 40/4451] lr: 9.6128e-02 eta: 2:46:06 time: 0.3197 data_time: 0.0104 memory: 8510 grad_norm: 0.1505 loss: 0.0462 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8698 recall@top3: 0.8333 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0462 2022/12/03 18:55:35 - mmengine - INFO - Epoch(train) [4][ 60/4451] lr: 9.6094e-02 eta: 2:46:00 time: 0.3182 data_time: 0.0113 memory: 8510 grad_norm: 0.1552 loss: 0.0528 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8651 recall@top3: 0.8889 prec@top3: 0.6349 recall@top5: 0.9365 prec@top5: 0.4095 loss_action_cls: 0.0528 2022/12/03 18:55:42 - mmengine - INFO - Epoch(train) [4][ 80/4451] lr: 9.6059e-02 eta: 2:45:53 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1540 loss: 0.0502 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7708 recall@top3: 0.7917 prec@top3: 0.6042 recall@top5: 0.9062 prec@top5: 0.4250 loss_action_cls: 0.0502 2022/12/03 18:55:48 - mmengine - INFO - Epoch(train) [4][ 100/4451] lr: 9.6025e-02 eta: 2:45:47 time: 0.3199 data_time: 0.0097 memory: 8510 grad_norm: 0.1415 loss: 0.0503 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.7540 recall@top3: 0.7302 prec@top3: 0.5079 recall@top5: 0.9524 prec@top5: 0.4000 loss_action_cls: 0.0503 2022/12/03 18:55:55 - mmengine - INFO - Epoch(train) [4][ 120/4451] lr: 9.5991e-02 eta: 2:45:40 time: 0.3187 data_time: 0.0095 memory: 8510 grad_norm: 0.1480 loss: 0.0476 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5361 recall@top3: 0.7006 prec@top3: 0.6889 recall@top5: 0.8822 prec@top5: 0.5267 loss_action_cls: 0.0476 2022/12/03 18:56:01 - mmengine - INFO - Epoch(train) [4][ 140/4451] lr: 9.5956e-02 eta: 2:45:34 time: 0.3188 data_time: 0.0097 memory: 8510 grad_norm: 0.1474 loss: 0.0487 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.8000 recall@top3: 0.7833 prec@top3: 0.6167 recall@top5: 0.9750 prec@top5: 0.4400 loss_action_cls: 0.0487 2022/12/03 18:56:07 - mmengine - INFO - Epoch(train) [4][ 160/4451] lr: 9.5921e-02 eta: 2:45:27 time: 0.3189 data_time: 0.0104 memory: 8510 grad_norm: 0.1575 loss: 0.0467 recall@thr=0.5: 0.7716 prec@thr=0.5: 0.7284 recall@top3: 0.8086 prec@top3: 0.5926 recall@top5: 0.9321 prec@top5: 0.3926 loss_action_cls: 0.0467 2022/12/03 18:56:14 - mmengine - INFO - Epoch(train) [4][ 180/4451] lr: 9.5886e-02 eta: 2:45:21 time: 0.3193 data_time: 0.0099 memory: 8510 grad_norm: 0.1508 loss: 0.0533 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7500 recall@top3: 0.8000 prec@top3: 0.6333 recall@top5: 0.8500 prec@top5: 0.4100 loss_action_cls: 0.0533 2022/12/03 18:56:20 - mmengine - INFO - Epoch(train) [4][ 200/4451] lr: 9.5851e-02 eta: 2:45:14 time: 0.3198 data_time: 0.0099 memory: 8510 grad_norm: 0.1523 loss: 0.0555 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.7407 recall@top3: 0.6944 prec@top3: 0.5926 recall@top5: 0.8843 prec@top5: 0.4889 loss_action_cls: 0.0555 2022/12/03 18:56:27 - mmengine - INFO - Epoch(train) [4][ 220/4451] lr: 9.5816e-02 eta: 2:45:08 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.1518 loss: 0.0489 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6644 recall@top3: 0.6796 prec@top3: 0.5185 recall@top5: 0.8454 prec@top5: 0.4000 loss_action_cls: 0.0489 2022/12/03 18:56:33 - mmengine - INFO - Epoch(train) [4][ 240/4451] lr: 9.5780e-02 eta: 2:45:02 time: 0.3191 data_time: 0.0098 memory: 8510 grad_norm: 0.1490 loss: 0.0471 recall@thr=0.5: 0.6343 prec@thr=0.5: 0.6481 recall@top3: 0.7593 prec@top3: 0.5926 recall@top5: 0.9583 prec@top5: 0.4222 loss_action_cls: 0.0471 2022/12/03 18:56:39 - mmengine - INFO - Epoch(train) [4][ 260/4451] lr: 9.5745e-02 eta: 2:44:55 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1568 loss: 0.0517 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6304 recall@top3: 0.7826 prec@top3: 0.6667 recall@top5: 0.8478 prec@top5: 0.4435 loss_action_cls: 0.0517 2022/12/03 18:56:46 - mmengine - INFO - Epoch(train) [4][ 280/4451] lr: 9.5709e-02 eta: 2:44:49 time: 0.3194 data_time: 0.0097 memory: 8510 grad_norm: 0.1600 loss: 0.0509 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7454 recall@top3: 0.8611 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0509 2022/12/03 18:56:52 - mmengine - INFO - Epoch(train) [4][ 300/4451] lr: 9.5673e-02 eta: 2:44:42 time: 0.3190 data_time: 0.0099 memory: 8510 grad_norm: 0.1578 loss: 0.0533 recall@thr=0.5: 0.5942 prec@thr=0.5: 0.5507 recall@top3: 0.8261 prec@top3: 0.4493 recall@top5: 0.9130 prec@top5: 0.3217 loss_action_cls: 0.0533 2022/12/03 18:56:58 - mmengine - INFO - Epoch(train) [4][ 320/4451] lr: 9.5637e-02 eta: 2:44:36 time: 0.3194 data_time: 0.0102 memory: 8510 grad_norm: 0.1518 loss: 0.0481 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.3922 recall@top3: 0.6863 prec@top3: 0.4706 recall@top5: 0.8578 prec@top5: 0.3765 loss_action_cls: 0.0481 2022/12/03 18:57:05 - mmengine - INFO - Epoch(train) [4][ 340/4451] lr: 9.5601e-02 eta: 2:44:29 time: 0.3201 data_time: 0.0098 memory: 8510 grad_norm: 0.1501 loss: 0.0443 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8627 recall@top3: 0.9608 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0443 2022/12/03 18:57:11 - mmengine - INFO - Epoch(train) [4][ 360/4451] lr: 9.5565e-02 eta: 2:44:23 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1409 loss: 0.0454 recall@thr=0.5: 0.8509 prec@thr=0.5: 0.7807 recall@top3: 0.9386 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0454 2022/12/03 18:57:18 - mmengine - INFO - Epoch(train) [4][ 380/4451] lr: 9.5528e-02 eta: 2:44:17 time: 0.3176 data_time: 0.0103 memory: 8510 grad_norm: 0.1571 loss: 0.0508 recall@thr=0.5: 0.5030 prec@thr=0.5: 0.7727 recall@top3: 0.6833 prec@top3: 0.5606 recall@top5: 0.8545 prec@top5: 0.4818 loss_action_cls: 0.0508 2022/12/03 18:57:24 - mmengine - INFO - Epoch(train) [4][ 400/4451] lr: 9.5492e-02 eta: 2:44:10 time: 0.3195 data_time: 0.0098 memory: 8510 grad_norm: 0.1529 loss: 0.0416 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.7108 recall@top3: 0.8725 prec@top3: 0.7255 recall@top5: 0.9020 prec@top5: 0.4588 loss_action_cls: 0.0416 2022/12/03 18:57:30 - mmengine - INFO - Epoch(train) [4][ 420/4451] lr: 9.5455e-02 eta: 2:44:04 time: 0.3196 data_time: 0.0098 memory: 8510 grad_norm: 0.1572 loss: 0.0560 recall@thr=0.5: 0.6215 prec@thr=0.5: 0.8021 recall@top3: 0.8125 prec@top3: 0.5972 recall@top5: 0.9653 prec@top5: 0.4667 loss_action_cls: 0.0560 2022/12/03 18:57:37 - mmengine - INFO - Epoch(train) [4][ 440/4451] lr: 9.5418e-02 eta: 2:43:57 time: 0.3204 data_time: 0.0103 memory: 8510 grad_norm: 0.1599 loss: 0.0463 recall@thr=0.5: 0.3229 prec@thr=0.5: 0.3750 recall@top3: 0.6667 prec@top3: 0.3750 recall@top5: 0.8333 prec@top5: 0.3125 loss_action_cls: 0.0463 2022/12/03 18:57:43 - mmengine - INFO - Epoch(train) [4][ 460/4451] lr: 9.5381e-02 eta: 2:43:51 time: 0.3193 data_time: 0.0098 memory: 8510 grad_norm: 0.1527 loss: 0.0497 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.6852 recall@top3: 0.6685 prec@top3: 0.6296 recall@top5: 0.9259 prec@top5: 0.5333 loss_action_cls: 0.0497 2022/12/03 18:57:50 - mmengine - INFO - Epoch(train) [4][ 480/4451] lr: 9.5344e-02 eta: 2:43:44 time: 0.3195 data_time: 0.0103 memory: 8510 grad_norm: 0.1553 loss: 0.0534 recall@thr=0.5: 0.5802 prec@thr=0.5: 0.7593 recall@top3: 0.8210 prec@top3: 0.6173 recall@top5: 0.9012 prec@top5: 0.4222 loss_action_cls: 0.0534 2022/12/03 18:57:56 - mmengine - INFO - Epoch(train) [4][ 500/4451] lr: 9.5307e-02 eta: 2:43:38 time: 0.3198 data_time: 0.0097 memory: 8510 grad_norm: 0.1585 loss: 0.0501 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.7037 recall@top3: 0.8194 prec@top3: 0.7037 recall@top5: 0.9815 prec@top5: 0.5333 loss_action_cls: 0.0501 2022/12/03 18:58:02 - mmengine - INFO - Epoch(train) [4][ 520/4451] lr: 9.5270e-02 eta: 2:43:31 time: 0.3194 data_time: 0.0102 memory: 8510 grad_norm: 0.1650 loss: 0.0528 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6726 recall@top3: 0.7679 prec@top3: 0.5833 recall@top5: 0.8571 prec@top5: 0.4000 loss_action_cls: 0.0528 2022/12/03 18:58:09 - mmengine - INFO - Epoch(train) [4][ 540/4451] lr: 9.5232e-02 eta: 2:43:25 time: 0.3199 data_time: 0.0102 memory: 8510 grad_norm: 0.1477 loss: 0.0475 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7596 recall@top3: 0.8596 prec@top3: 0.7368 recall@top5: 0.9693 prec@top5: 0.5263 loss_action_cls: 0.0475 2022/12/03 18:58:15 - mmengine - INFO - Epoch(train) [4][ 560/4451] lr: 9.5195e-02 eta: 2:43:19 time: 0.3192 data_time: 0.0110 memory: 8510 grad_norm: 0.1541 loss: 0.0540 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7407 recall@top3: 0.7407 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.5000 loss_action_cls: 0.0540 2022/12/03 18:58:22 - mmengine - INFO - Epoch(train) [4][ 580/4451] lr: 9.5157e-02 eta: 2:43:12 time: 0.3187 data_time: 0.0113 memory: 8510 grad_norm: 0.1541 loss: 0.0459 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7840 recall@top3: 0.7963 prec@top3: 0.6543 recall@top5: 0.9630 prec@top5: 0.4889 loss_action_cls: 0.0459 2022/12/03 18:58:28 - mmengine - INFO - Epoch(train) [4][ 600/4451] lr: 9.5119e-02 eta: 2:43:06 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1606 loss: 0.0520 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.8095 recall@top3: 0.7262 prec@top3: 0.7143 recall@top5: 0.9206 prec@top5: 0.5524 loss_action_cls: 0.0520 2022/12/03 18:58:34 - mmengine - INFO - Epoch(train) [4][ 620/4451] lr: 9.5081e-02 eta: 2:42:59 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.1531 loss: 0.0498 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.3667 recall@top3: 0.6500 prec@top3: 0.5556 recall@top5: 0.8556 prec@top5: 0.4533 loss_action_cls: 0.0498 2022/12/03 18:58:41 - mmengine - INFO - Epoch(train) [4][ 640/4451] lr: 9.5042e-02 eta: 2:42:53 time: 0.3196 data_time: 0.0103 memory: 8510 grad_norm: 0.1457 loss: 0.0510 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6377 recall@top3: 0.7246 prec@top3: 0.5507 recall@top5: 0.8913 prec@top5: 0.4174 loss_action_cls: 0.0510 2022/12/03 18:58:43 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 18:58:47 - mmengine - INFO - Epoch(train) [4][ 660/4451] lr: 9.5004e-02 eta: 2:42:46 time: 0.3183 data_time: 0.0105 memory: 8510 grad_norm: 0.1478 loss: 0.0512 recall@thr=0.5: 0.2583 prec@thr=0.5: 0.3667 recall@top3: 0.6000 prec@top3: 0.4500 recall@top5: 0.7167 prec@top5: 0.3200 loss_action_cls: 0.0512 2022/12/03 18:58:54 - mmengine - INFO - Epoch(train) [4][ 680/4451] lr: 9.4966e-02 eta: 2:42:40 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1459 loss: 0.0463 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7281 recall@top3: 0.7982 prec@top3: 0.6140 recall@top5: 0.9386 prec@top5: 0.4316 loss_action_cls: 0.0463 2022/12/03 18:59:00 - mmengine - INFO - Epoch(train) [4][ 700/4451] lr: 9.4927e-02 eta: 2:42:34 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1552 loss: 0.0478 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7111 recall@top3: 0.7414 prec@top3: 0.7160 recall@top5: 0.9370 prec@top5: 0.5556 loss_action_cls: 0.0478 2022/12/03 18:59:06 - mmengine - INFO - Epoch(train) [4][ 720/4451] lr: 9.4888e-02 eta: 2:42:27 time: 0.3200 data_time: 0.0098 memory: 8510 grad_norm: 0.1536 loss: 0.0544 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8623 recall@top3: 0.8116 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4957 loss_action_cls: 0.0544 2022/12/03 18:59:13 - mmengine - INFO - Epoch(train) [4][ 740/4451] lr: 9.4849e-02 eta: 2:42:21 time: 0.3191 data_time: 0.0098 memory: 8510 grad_norm: 0.1499 loss: 0.0543 recall@thr=0.5: 0.5230 prec@thr=0.5: 0.5891 recall@top3: 0.6006 prec@top3: 0.5402 recall@top5: 0.8448 prec@top5: 0.4483 loss_action_cls: 0.0543 2022/12/03 18:59:19 - mmengine - INFO - Epoch(train) [4][ 760/4451] lr: 9.4810e-02 eta: 2:42:14 time: 0.3190 data_time: 0.0100 memory: 8510 grad_norm: 0.1522 loss: 0.0530 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.8646 recall@top3: 0.8562 prec@top3: 0.7292 recall@top5: 0.9688 prec@top5: 0.5375 loss_action_cls: 0.0530 2022/12/03 18:59:26 - mmengine - INFO - Epoch(train) [4][ 780/4451] lr: 9.4771e-02 eta: 2:42:08 time: 0.3211 data_time: 0.0099 memory: 8510 grad_norm: 0.1521 loss: 0.0501 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7588 recall@top3: 0.8158 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.0501 2022/12/03 18:59:32 - mmengine - INFO - Epoch(train) [4][ 800/4451] lr: 9.4732e-02 eta: 2:42:02 time: 0.3199 data_time: 0.0108 memory: 8510 grad_norm: 0.1492 loss: 0.0506 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7817 recall@top3: 0.8651 prec@top3: 0.6508 recall@top5: 0.9444 prec@top5: 0.4381 loss_action_cls: 0.0506 2022/12/03 18:59:38 - mmengine - INFO - Epoch(train) [4][ 820/4451] lr: 9.4692e-02 eta: 2:41:55 time: 0.3208 data_time: 0.0104 memory: 8510 grad_norm: 0.1519 loss: 0.0469 recall@thr=0.5: 0.3522 prec@thr=0.5: 0.4946 recall@top3: 0.6989 prec@top3: 0.5699 recall@top5: 0.8118 prec@top5: 0.4194 loss_action_cls: 0.0469 2022/12/03 18:59:45 - mmengine - INFO - Epoch(train) [4][ 840/4451] lr: 9.4652e-02 eta: 2:41:49 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1486 loss: 0.0517 recall@thr=0.5: 0.7754 prec@thr=0.5: 0.7609 recall@top3: 0.7754 prec@top3: 0.7246 recall@top5: 0.9348 prec@top5: 0.5478 loss_action_cls: 0.0517 2022/12/03 18:59:51 - mmengine - INFO - Epoch(train) [4][ 860/4451] lr: 9.4613e-02 eta: 2:41:42 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1629 loss: 0.0480 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.8039 recall@top3: 0.9216 prec@top3: 0.7451 recall@top5: 0.9804 prec@top5: 0.4824 loss_action_cls: 0.0480 2022/12/03 18:59:58 - mmengine - INFO - Epoch(train) [4][ 880/4451] lr: 9.4573e-02 eta: 2:41:36 time: 0.3192 data_time: 0.0108 memory: 8510 grad_norm: 0.1588 loss: 0.0478 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6389 recall@top3: 0.7870 prec@top3: 0.5370 recall@top5: 0.9167 prec@top5: 0.3778 loss_action_cls: 0.0478 2022/12/03 19:00:04 - mmengine - INFO - Epoch(train) [4][ 900/4451] lr: 9.4533e-02 eta: 2:41:30 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.1530 loss: 0.0488 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7500 recall@top3: 0.8167 prec@top3: 0.5833 recall@top5: 0.9250 prec@top5: 0.3900 loss_action_cls: 0.0488 2022/12/03 19:00:10 - mmengine - INFO - Epoch(train) [4][ 920/4451] lr: 9.4493e-02 eta: 2:41:23 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1562 loss: 0.0443 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.8478 recall@top3: 0.8913 prec@top3: 0.6522 recall@top5: 0.9710 prec@top5: 0.4348 loss_action_cls: 0.0443 2022/12/03 19:00:17 - mmengine - INFO - Epoch(train) [4][ 940/4451] lr: 9.4452e-02 eta: 2:41:17 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1568 loss: 0.0532 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.6970 recall@top3: 0.9015 prec@top3: 0.6212 recall@top5: 0.9242 prec@top5: 0.3818 loss_action_cls: 0.0532 2022/12/03 19:00:23 - mmengine - INFO - Epoch(train) [4][ 960/4451] lr: 9.4412e-02 eta: 2:41:10 time: 0.3206 data_time: 0.0106 memory: 8510 grad_norm: 0.1511 loss: 0.0470 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.6667 recall@top3: 0.8030 prec@top3: 0.6061 recall@top5: 0.8485 prec@top5: 0.3818 loss_action_cls: 0.0470 2022/12/03 19:00:30 - mmengine - INFO - Epoch(train) [4][ 980/4451] lr: 9.4371e-02 eta: 2:41:04 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1521 loss: 0.0484 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6316 recall@top3: 0.7368 prec@top3: 0.5439 recall@top5: 0.8684 prec@top5: 0.3789 loss_action_cls: 0.0484 2022/12/03 19:00:36 - mmengine - INFO - Epoch(train) [4][1000/4451] lr: 9.4330e-02 eta: 2:40:58 time: 0.3199 data_time: 0.0099 memory: 8510 grad_norm: 0.1544 loss: 0.0513 recall@thr=0.5: 0.4604 prec@thr=0.5: 0.6389 recall@top3: 0.6611 prec@top3: 0.5556 recall@top5: 0.9479 prec@top5: 0.4917 loss_action_cls: 0.0513 2022/12/03 19:00:42 - mmengine - INFO - Epoch(train) [4][1020/4451] lr: 9.4290e-02 eta: 2:40:51 time: 0.3219 data_time: 0.0113 memory: 8510 grad_norm: 0.1586 loss: 0.0507 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5400 recall@top3: 0.6333 prec@top3: 0.4000 recall@top5: 0.9200 prec@top5: 0.3600 loss_action_cls: 0.0507 2022/12/03 19:00:49 - mmengine - INFO - Epoch(train) [4][1040/4451] lr: 9.4248e-02 eta: 2:40:45 time: 0.3199 data_time: 0.0109 memory: 8510 grad_norm: 0.1529 loss: 0.0471 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.4792 recall@top3: 0.6979 prec@top3: 0.4167 recall@top5: 0.8125 prec@top5: 0.3125 loss_action_cls: 0.0471 2022/12/03 19:00:55 - mmengine - INFO - Epoch(train) [4][1060/4451] lr: 9.4207e-02 eta: 2:40:38 time: 0.3201 data_time: 0.0104 memory: 8510 grad_norm: 0.1521 loss: 0.0470 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.6522 recall@top3: 0.8406 prec@top3: 0.5797 recall@top5: 0.9275 prec@top5: 0.3826 loss_action_cls: 0.0470 2022/12/03 19:01:02 - mmengine - INFO - Epoch(train) [4][1080/4451] lr: 9.4166e-02 eta: 2:40:32 time: 0.3197 data_time: 0.0099 memory: 8510 grad_norm: 0.1539 loss: 0.0474 recall@thr=0.5: 0.7206 prec@thr=0.5: 0.7500 recall@top3: 0.7745 prec@top3: 0.6275 recall@top5: 0.8235 prec@top5: 0.4118 loss_action_cls: 0.0474 2022/12/03 19:01:08 - mmengine - INFO - Epoch(train) [4][1100/4451] lr: 9.4125e-02 eta: 2:40:26 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.1545 loss: 0.0524 recall@thr=0.5: 0.6247 prec@thr=0.5: 0.8241 recall@top3: 0.8111 prec@top3: 0.6420 recall@top5: 0.9556 prec@top5: 0.4741 loss_action_cls: 0.0524 2022/12/03 19:01:15 - mmengine - INFO - Epoch(train) [4][1120/4451] lr: 9.4083e-02 eta: 2:40:19 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.1504 loss: 0.0471 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.8116 recall@top3: 0.8623 prec@top3: 0.7391 recall@top5: 0.9638 prec@top5: 0.4957 loss_action_cls: 0.0471 2022/12/03 19:01:21 - mmengine - INFO - Epoch(train) [4][1140/4451] lr: 9.4041e-02 eta: 2:40:13 time: 0.3198 data_time: 0.0099 memory: 8510 grad_norm: 0.1509 loss: 0.0455 recall@thr=0.5: 0.3125 prec@thr=0.5: 0.3889 recall@top3: 0.5556 prec@top3: 0.4306 recall@top5: 0.7639 prec@top5: 0.3583 loss_action_cls: 0.0455 2022/12/03 19:01:27 - mmengine - INFO - Epoch(train) [4][1160/4451] lr: 9.4000e-02 eta: 2:40:06 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1468 loss: 0.0514 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.6827 recall@top3: 0.8462 prec@top3: 0.6410 recall@top5: 0.9615 prec@top5: 0.4538 loss_action_cls: 0.0514 2022/12/03 19:01:34 - mmengine - INFO - Epoch(train) [4][1180/4451] lr: 9.3958e-02 eta: 2:40:00 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1488 loss: 0.0514 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.5728 recall@top3: 0.7444 prec@top3: 0.6444 recall@top5: 0.8722 prec@top5: 0.4667 loss_action_cls: 0.0514 2022/12/03 19:01:40 - mmengine - INFO - Epoch(train) [4][1200/4451] lr: 9.3915e-02 eta: 2:39:54 time: 0.3212 data_time: 0.0115 memory: 8510 grad_norm: 0.1578 loss: 0.0502 recall@thr=0.5: 0.5028 prec@thr=0.5: 0.6667 recall@top3: 0.6861 prec@top3: 0.5139 recall@top5: 0.7625 prec@top5: 0.3500 loss_action_cls: 0.0502 2022/12/03 19:01:47 - mmengine - INFO - Epoch(train) [4][1220/4451] lr: 9.3873e-02 eta: 2:39:47 time: 0.3208 data_time: 0.0106 memory: 8510 grad_norm: 0.1598 loss: 0.0529 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7000 recall@top3: 0.8583 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4100 loss_action_cls: 0.0529 2022/12/03 19:01:53 - mmengine - INFO - Epoch(train) [4][1240/4451] lr: 9.3831e-02 eta: 2:39:41 time: 0.3206 data_time: 0.0114 memory: 8510 grad_norm: 0.1514 loss: 0.0486 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.5750 recall@top3: 0.7792 prec@top3: 0.6000 recall@top5: 0.8042 prec@top5: 0.3800 loss_action_cls: 0.0486 2022/12/03 19:01:59 - mmengine - INFO - Epoch(train) [4][1260/4451] lr: 9.3788e-02 eta: 2:39:34 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1492 loss: 0.0508 recall@thr=0.5: 0.5786 prec@thr=0.5: 0.7143 recall@top3: 0.6595 prec@top3: 0.6349 recall@top5: 0.8238 prec@top5: 0.4952 loss_action_cls: 0.0508 2022/12/03 19:02:06 - mmengine - INFO - Epoch(train) [4][1280/4451] lr: 9.3746e-02 eta: 2:39:28 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1550 loss: 0.0492 recall@thr=0.5: 0.6241 prec@thr=0.5: 0.7963 recall@top3: 0.8593 prec@top3: 0.6111 recall@top5: 0.9556 prec@top5: 0.4444 loss_action_cls: 0.0492 2022/12/03 19:02:12 - mmengine - INFO - Epoch(train) [4][1300/4451] lr: 9.3703e-02 eta: 2:39:22 time: 0.3199 data_time: 0.0111 memory: 8510 grad_norm: 0.1551 loss: 0.0511 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.8365 recall@top3: 0.8974 prec@top3: 0.7564 recall@top5: 0.9808 prec@top5: 0.5000 loss_action_cls: 0.0511 2022/12/03 19:02:19 - mmengine - INFO - Epoch(train) [4][1320/4451] lr: 9.3660e-02 eta: 2:39:15 time: 0.3194 data_time: 0.0118 memory: 8510 grad_norm: 0.1539 loss: 0.0510 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4792 recall@top3: 0.8819 prec@top3: 0.6806 recall@top5: 0.9340 prec@top5: 0.4417 loss_action_cls: 0.0510 2022/12/03 19:02:25 - mmengine - INFO - Epoch(train) [4][1340/4451] lr: 9.3617e-02 eta: 2:39:09 time: 0.3191 data_time: 0.0100 memory: 8510 grad_norm: 0.1525 loss: 0.0481 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.5625 recall@top3: 0.8542 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0481 2022/12/03 19:02:31 - mmengine - INFO - Epoch(train) [4][1360/4451] lr: 9.3574e-02 eta: 2:39:02 time: 0.3213 data_time: 0.0102 memory: 8510 grad_norm: 0.1477 loss: 0.0437 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.7262 recall@top3: 0.9048 prec@top3: 0.6508 recall@top5: 0.9206 prec@top5: 0.4000 loss_action_cls: 0.0437 2022/12/03 19:02:38 - mmengine - INFO - Epoch(train) [4][1380/4451] lr: 9.3530e-02 eta: 2:38:56 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1543 loss: 0.0505 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7917 recall@top3: 0.9208 prec@top3: 0.7333 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0505 2022/12/03 19:02:44 - mmengine - INFO - Epoch(train) [4][1400/4451] lr: 9.3487e-02 eta: 2:38:49 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1504 loss: 0.0482 recall@thr=0.5: 0.5389 prec@thr=0.5: 0.6444 recall@top3: 0.8722 prec@top3: 0.6444 recall@top5: 0.9778 prec@top5: 0.4400 loss_action_cls: 0.0482 2022/12/03 19:02:51 - mmengine - INFO - Epoch(train) [4][1420/4451] lr: 9.3443e-02 eta: 2:38:43 time: 0.3208 data_time: 0.0114 memory: 8510 grad_norm: 0.1506 loss: 0.0514 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7348 recall@top3: 0.7879 prec@top3: 0.5303 recall@top5: 0.8826 prec@top5: 0.3727 loss_action_cls: 0.0514 2022/12/03 19:02:57 - mmengine - INFO - Epoch(train) [4][1440/4451] lr: 9.3399e-02 eta: 2:38:37 time: 0.3198 data_time: 0.0107 memory: 8510 grad_norm: 0.1576 loss: 0.0433 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.8111 recall@top3: 0.7778 prec@top3: 0.6889 recall@top5: 0.9556 prec@top5: 0.5067 loss_action_cls: 0.0433 2022/12/03 19:03:03 - mmengine - INFO - Epoch(train) [4][1460/4451] lr: 9.3356e-02 eta: 2:38:30 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1558 loss: 0.0507 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6296 recall@top3: 0.6481 prec@top3: 0.5556 recall@top5: 0.8519 prec@top5: 0.4333 loss_action_cls: 0.0507 2022/12/03 19:03:10 - mmengine - INFO - Epoch(train) [4][1480/4451] lr: 9.3312e-02 eta: 2:38:24 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1610 loss: 0.0462 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.8826 recall@top3: 0.7576 prec@top3: 0.7424 recall@top5: 0.9621 prec@top5: 0.5636 loss_action_cls: 0.0462 2022/12/03 19:03:16 - mmengine - INFO - Epoch(train) [4][1500/4451] lr: 9.3267e-02 eta: 2:38:17 time: 0.3205 data_time: 0.0098 memory: 8510 grad_norm: 0.1621 loss: 0.0517 recall@thr=0.5: 0.6174 prec@thr=0.5: 0.7424 recall@top3: 0.8523 prec@top3: 0.6667 recall@top5: 0.9545 prec@top5: 0.4455 loss_action_cls: 0.0517 2022/12/03 19:03:23 - mmengine - INFO - Epoch(train) [4][1520/4451] lr: 9.3223e-02 eta: 2:38:11 time: 0.3199 data_time: 0.0102 memory: 8510 grad_norm: 0.1549 loss: 0.0551 recall@thr=0.5: 0.4676 prec@thr=0.5: 0.4907 recall@top3: 0.6574 prec@top3: 0.5741 recall@top5: 0.8519 prec@top5: 0.4111 loss_action_cls: 0.0551 2022/12/03 19:03:29 - mmengine - INFO - Epoch(train) [4][1540/4451] lr: 9.3179e-02 eta: 2:38:05 time: 0.3209 data_time: 0.0098 memory: 8510 grad_norm: 0.1593 loss: 0.0496 recall@thr=0.5: 0.7527 prec@thr=0.5: 0.8495 recall@top3: 0.8065 prec@top3: 0.5806 recall@top5: 0.9032 prec@top5: 0.4065 loss_action_cls: 0.0496 2022/12/03 19:03:35 - mmengine - INFO - Epoch(train) [4][1560/4451] lr: 9.3134e-02 eta: 2:37:58 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.1576 loss: 0.0479 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5278 recall@top3: 0.5648 prec@top3: 0.4259 recall@top5: 0.7315 prec@top5: 0.3111 loss_action_cls: 0.0479 2022/12/03 19:03:42 - mmengine - INFO - Epoch(train) [4][1580/4451] lr: 9.3089e-02 eta: 2:37:52 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1611 loss: 0.0500 recall@thr=0.5: 0.6620 prec@thr=0.5: 0.7616 recall@top3: 0.8194 prec@top3: 0.6574 recall@top5: 0.9306 prec@top5: 0.4611 loss_action_cls: 0.0500 2022/12/03 19:03:48 - mmengine - INFO - Epoch(train) [4][1600/4451] lr: 9.3045e-02 eta: 2:37:45 time: 0.3190 data_time: 0.0102 memory: 8510 grad_norm: 0.1633 loss: 0.0468 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.8039 recall@top3: 0.7157 prec@top3: 0.5098 recall@top5: 0.9118 prec@top5: 0.4118 loss_action_cls: 0.0468 2022/12/03 19:03:55 - mmengine - INFO - Epoch(train) [4][1620/4451] lr: 9.3000e-02 eta: 2:37:39 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.1513 loss: 0.0459 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.6296 recall@top3: 0.8704 prec@top3: 0.5185 recall@top5: 0.9444 prec@top5: 0.3444 loss_action_cls: 0.0459 2022/12/03 19:04:01 - mmengine - INFO - Epoch(train) [4][1640/4451] lr: 9.2955e-02 eta: 2:37:33 time: 0.3206 data_time: 0.0119 memory: 8510 grad_norm: 0.1538 loss: 0.0493 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.9254 recall@top3: 0.7851 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.5053 loss_action_cls: 0.0493 2022/12/03 19:04:03 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:04:07 - mmengine - INFO - Epoch(train) [4][1660/4451] lr: 9.2909e-02 eta: 2:37:26 time: 0.3199 data_time: 0.0116 memory: 8510 grad_norm: 0.1471 loss: 0.0548 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.7292 recall@top3: 0.7552 prec@top3: 0.6875 recall@top5: 0.9010 prec@top5: 0.4875 loss_action_cls: 0.0548 2022/12/03 19:04:14 - mmengine - INFO - Epoch(train) [4][1680/4451] lr: 9.2864e-02 eta: 2:37:20 time: 0.3210 data_time: 0.0120 memory: 8510 grad_norm: 0.1520 loss: 0.0497 recall@thr=0.5: 0.4130 prec@thr=0.5: 0.4638 recall@top3: 0.7101 prec@top3: 0.5507 recall@top5: 0.7899 prec@top5: 0.3739 loss_action_cls: 0.0497 2022/12/03 19:04:20 - mmengine - INFO - Epoch(train) [4][1700/4451] lr: 9.2819e-02 eta: 2:37:13 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1494 loss: 0.0454 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.7045 recall@top3: 0.8712 prec@top3: 0.6212 recall@top5: 0.9470 prec@top5: 0.4091 loss_action_cls: 0.0454 2022/12/03 19:04:27 - mmengine - INFO - Epoch(train) [4][1720/4451] lr: 9.2773e-02 eta: 2:37:07 time: 0.3196 data_time: 0.0098 memory: 8510 grad_norm: 0.1579 loss: 0.0503 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.8627 recall@top3: 0.8627 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0503 2022/12/03 19:04:33 - mmengine - INFO - Epoch(train) [4][1740/4451] lr: 9.2727e-02 eta: 2:37:01 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1614 loss: 0.0535 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.7719 recall@top3: 0.8728 prec@top3: 0.7368 recall@top5: 0.9298 prec@top5: 0.4737 loss_action_cls: 0.0535 2022/12/03 19:04:39 - mmengine - INFO - Epoch(train) [4][1760/4451] lr: 9.2681e-02 eta: 2:36:54 time: 0.3196 data_time: 0.0098 memory: 8510 grad_norm: 0.1531 loss: 0.0478 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.9000 recall@top3: 0.9250 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0478 2022/12/03 19:04:46 - mmengine - INFO - Epoch(train) [4][1780/4451] lr: 9.2635e-02 eta: 2:36:48 time: 0.3194 data_time: 0.0103 memory: 8510 grad_norm: 0.1536 loss: 0.0470 recall@thr=0.5: 0.5799 prec@thr=0.5: 0.6389 recall@top3: 0.8438 prec@top3: 0.6528 recall@top5: 0.9028 prec@top5: 0.4333 loss_action_cls: 0.0470 2022/12/03 19:04:52 - mmengine - INFO - Epoch(train) [4][1800/4451] lr: 9.2589e-02 eta: 2:36:41 time: 0.3203 data_time: 0.0116 memory: 8510 grad_norm: 0.1505 loss: 0.0486 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8403 recall@top3: 0.8854 prec@top3: 0.6250 recall@top5: 0.9792 prec@top5: 0.4333 loss_action_cls: 0.0486 2022/12/03 19:04:59 - mmengine - INFO - Epoch(train) [4][1820/4451] lr: 9.2543e-02 eta: 2:36:35 time: 0.3194 data_time: 0.0108 memory: 8510 grad_norm: 0.1522 loss: 0.0534 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8667 recall@top3: 0.8222 prec@top3: 0.6222 recall@top5: 0.9000 prec@top5: 0.4133 loss_action_cls: 0.0534 2022/12/03 19:05:05 - mmengine - INFO - Epoch(train) [4][1840/4451] lr: 9.2496e-02 eta: 2:36:28 time: 0.3218 data_time: 0.0108 memory: 8510 grad_norm: 0.1527 loss: 0.0478 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6429 recall@top3: 0.9048 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0478 2022/12/03 19:05:11 - mmengine - INFO - Epoch(train) [4][1860/4451] lr: 9.2450e-02 eta: 2:36:22 time: 0.3195 data_time: 0.0101 memory: 8510 grad_norm: 0.1567 loss: 0.0465 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5588 recall@top3: 0.8922 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0465 2022/12/03 19:05:18 - mmengine - INFO - Epoch(train) [4][1880/4451] lr: 9.2403e-02 eta: 2:36:16 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1554 loss: 0.0486 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.6818 recall@top3: 0.8485 prec@top3: 0.6061 recall@top5: 0.9470 prec@top5: 0.4182 loss_action_cls: 0.0486 2022/12/03 19:05:24 - mmengine - INFO - Epoch(train) [4][1900/4451] lr: 9.2356e-02 eta: 2:36:09 time: 0.3199 data_time: 0.0099 memory: 8510 grad_norm: 0.1489 loss: 0.0482 recall@thr=0.5: 0.4526 prec@thr=0.5: 0.5439 recall@top3: 0.4754 prec@top3: 0.3684 recall@top5: 0.7982 prec@top5: 0.3474 loss_action_cls: 0.0482 2022/12/03 19:05:31 - mmengine - INFO - Epoch(train) [4][1920/4451] lr: 9.2309e-02 eta: 2:36:03 time: 0.3216 data_time: 0.0102 memory: 8510 grad_norm: 0.1593 loss: 0.0500 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.7121 recall@top3: 0.7538 prec@top3: 0.5909 recall@top5: 0.8939 prec@top5: 0.4364 loss_action_cls: 0.0500 2022/12/03 19:05:37 - mmengine - INFO - Epoch(train) [4][1940/4451] lr: 9.2262e-02 eta: 2:35:56 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.1437 loss: 0.0497 recall@thr=0.5: 0.5482 prec@thr=0.5: 0.6009 recall@top3: 0.6711 prec@top3: 0.5263 recall@top5: 0.8070 prec@top5: 0.4105 loss_action_cls: 0.0497 2022/12/03 19:05:44 - mmengine - INFO - Epoch(train) [4][1960/4451] lr: 9.2215e-02 eta: 2:35:50 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1530 loss: 0.0481 recall@thr=0.5: 0.6506 prec@thr=0.5: 0.7019 recall@top3: 0.8942 prec@top3: 0.6923 recall@top5: 0.9583 prec@top5: 0.4538 loss_action_cls: 0.0481 2022/12/03 19:05:50 - mmengine - INFO - Epoch(train) [4][1980/4451] lr: 9.2168e-02 eta: 2:35:44 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1535 loss: 0.0490 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.7101 recall@top3: 0.8768 prec@top3: 0.6232 recall@top5: 0.9275 prec@top5: 0.4000 loss_action_cls: 0.0490 2022/12/03 19:05:56 - mmengine - INFO - Epoch(train) [4][2000/4451] lr: 9.2120e-02 eta: 2:35:37 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1503 loss: 0.0481 recall@thr=0.5: 0.8728 prec@thr=0.5: 0.7895 recall@top3: 0.8728 prec@top3: 0.6140 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0481 2022/12/03 19:06:03 - mmengine - INFO - Epoch(train) [4][2020/4451] lr: 9.2073e-02 eta: 2:35:31 time: 0.3198 data_time: 0.0119 memory: 8510 grad_norm: 0.1541 loss: 0.0540 recall@thr=0.5: 0.5091 prec@thr=0.5: 0.6924 recall@top3: 0.7061 prec@top3: 0.6667 recall@top5: 0.8333 prec@top5: 0.5000 loss_action_cls: 0.0540 2022/12/03 19:06:09 - mmengine - INFO - Epoch(train) [4][2040/4451] lr: 9.2025e-02 eta: 2:35:24 time: 0.3191 data_time: 0.0097 memory: 8510 grad_norm: 0.1556 loss: 0.0526 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.5490 recall@top3: 0.8039 prec@top3: 0.5294 recall@top5: 0.8529 prec@top5: 0.3412 loss_action_cls: 0.0526 2022/12/03 19:06:16 - mmengine - INFO - Epoch(train) [4][2060/4451] lr: 9.1977e-02 eta: 2:35:18 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1628 loss: 0.0481 recall@thr=0.5: 0.5824 prec@thr=0.5: 0.6863 recall@top3: 0.9088 prec@top3: 0.5882 recall@top5: 0.9853 prec@top5: 0.4235 loss_action_cls: 0.0481 2022/12/03 19:06:22 - mmengine - INFO - Epoch(train) [4][2080/4451] lr: 9.1929e-02 eta: 2:35:12 time: 0.3218 data_time: 0.0098 memory: 8510 grad_norm: 0.1577 loss: 0.0493 recall@thr=0.5: 0.5260 prec@thr=0.5: 0.6250 recall@top3: 0.6406 prec@top3: 0.6042 recall@top5: 0.9062 prec@top5: 0.5125 loss_action_cls: 0.0493 2022/12/03 19:06:28 - mmengine - INFO - Epoch(train) [4][2100/4451] lr: 9.1881e-02 eta: 2:35:05 time: 0.3195 data_time: 0.0099 memory: 8510 grad_norm: 0.1582 loss: 0.0506 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6569 recall@top3: 0.8510 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0506 2022/12/03 19:06:35 - mmengine - INFO - Epoch(train) [4][2120/4451] lr: 9.1833e-02 eta: 2:34:59 time: 0.3203 data_time: 0.0111 memory: 8510 grad_norm: 0.1502 loss: 0.0475 recall@thr=0.5: 0.3070 prec@thr=0.5: 0.4211 recall@top3: 0.5965 prec@top3: 0.4035 recall@top5: 0.9298 prec@top5: 0.3684 loss_action_cls: 0.0475 2022/12/03 19:06:41 - mmengine - INFO - Epoch(train) [4][2140/4451] lr: 9.1784e-02 eta: 2:34:52 time: 0.3192 data_time: 0.0099 memory: 8510 grad_norm: 0.1591 loss: 0.0544 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.5965 recall@top3: 0.6842 prec@top3: 0.5439 recall@top5: 0.7544 prec@top5: 0.3684 loss_action_cls: 0.0544 2022/12/03 19:06:48 - mmengine - INFO - Epoch(train) [4][2160/4451] lr: 9.1736e-02 eta: 2:34:46 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1491 loss: 0.0483 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.7843 recall@top3: 0.8529 prec@top3: 0.6078 recall@top5: 0.9216 prec@top5: 0.4118 loss_action_cls: 0.0483 2022/12/03 19:06:54 - mmengine - INFO - Epoch(train) [4][2180/4451] lr: 9.1687e-02 eta: 2:34:40 time: 0.3199 data_time: 0.0098 memory: 8510 grad_norm: 0.1539 loss: 0.0526 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.7745 recall@top3: 0.7745 prec@top3: 0.6275 recall@top5: 0.8088 prec@top5: 0.4000 loss_action_cls: 0.0526 2022/12/03 19:07:00 - mmengine - INFO - Epoch(train) [4][2200/4451] lr: 9.1638e-02 eta: 2:34:33 time: 0.3210 data_time: 0.0115 memory: 8510 grad_norm: 0.1561 loss: 0.0443 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.5351 recall@top3: 0.7807 prec@top3: 0.5088 recall@top5: 0.8596 prec@top5: 0.3474 loss_action_cls: 0.0443 2022/12/03 19:07:07 - mmengine - INFO - Epoch(train) [4][2220/4451] lr: 9.1589e-02 eta: 2:34:27 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1486 loss: 0.0490 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7433 recall@top3: 0.7600 prec@top3: 0.7467 recall@top5: 0.8233 prec@top5: 0.4960 loss_action_cls: 0.0490 2022/12/03 19:07:13 - mmengine - INFO - Epoch(train) [4][2240/4451] lr: 9.1540e-02 eta: 2:34:20 time: 0.3211 data_time: 0.0102 memory: 8510 grad_norm: 0.1578 loss: 0.0485 recall@thr=0.5: 0.5133 prec@thr=0.5: 0.5425 recall@top3: 0.6967 prec@top3: 0.6167 recall@top5: 0.8171 prec@top5: 0.4550 loss_action_cls: 0.0485 2022/12/03 19:07:20 - mmengine - INFO - Epoch(train) [4][2260/4451] lr: 9.1491e-02 eta: 2:34:14 time: 0.3206 data_time: 0.0110 memory: 8510 grad_norm: 0.1571 loss: 0.0498 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6613 recall@top3: 0.6452 prec@top3: 0.4946 recall@top5: 0.8280 prec@top5: 0.3935 loss_action_cls: 0.0498 2022/12/03 19:07:26 - mmengine - INFO - Epoch(train) [4][2280/4451] lr: 9.1442e-02 eta: 2:34:08 time: 0.3219 data_time: 0.0105 memory: 8510 grad_norm: 0.1521 loss: 0.0441 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.9167 recall@top3: 0.8796 prec@top3: 0.7778 recall@top5: 0.9352 prec@top5: 0.5000 loss_action_cls: 0.0441 2022/12/03 19:07:33 - mmengine - INFO - Epoch(train) [4][2300/4451] lr: 9.1392e-02 eta: 2:34:01 time: 0.3214 data_time: 0.0125 memory: 8510 grad_norm: 0.1474 loss: 0.0504 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.7792 recall@top3: 0.8854 prec@top3: 0.7083 recall@top5: 0.9010 prec@top5: 0.4375 loss_action_cls: 0.0504 2022/12/03 19:07:39 - mmengine - INFO - Epoch(train) [4][2320/4451] lr: 9.1343e-02 eta: 2:33:55 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1487 loss: 0.0478 recall@thr=0.5: 0.4965 prec@thr=0.5: 0.5028 recall@top3: 0.7396 prec@top3: 0.4861 recall@top5: 0.8785 prec@top5: 0.3667 loss_action_cls: 0.0478 2022/12/03 19:07:45 - mmengine - INFO - Epoch(train) [4][2340/4451] lr: 9.1293e-02 eta: 2:33:48 time: 0.3195 data_time: 0.0110 memory: 8510 grad_norm: 0.1484 loss: 0.0465 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7262 recall@top3: 0.8333 prec@top3: 0.5952 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0465 2022/12/03 19:07:52 - mmengine - INFO - Epoch(train) [4][2360/4451] lr: 9.1243e-02 eta: 2:33:42 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1536 loss: 0.0527 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8158 recall@top3: 0.8465 prec@top3: 0.6316 recall@top5: 0.9342 prec@top5: 0.4105 loss_action_cls: 0.0527 2022/12/03 19:07:58 - mmengine - INFO - Epoch(train) [4][2380/4451] lr: 9.1193e-02 eta: 2:33:36 time: 0.3205 data_time: 0.0098 memory: 8510 grad_norm: 0.1568 loss: 0.0510 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.5929 recall@top3: 0.7436 prec@top3: 0.5897 recall@top5: 0.8846 prec@top5: 0.4462 loss_action_cls: 0.0510 2022/12/03 19:08:05 - mmengine - INFO - Epoch(train) [4][2400/4451] lr: 9.1143e-02 eta: 2:33:29 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1508 loss: 0.0498 recall@thr=0.5: 0.5241 prec@thr=0.5: 0.7037 recall@top3: 0.7204 prec@top3: 0.6790 recall@top5: 0.8735 prec@top5: 0.5259 loss_action_cls: 0.0498 2022/12/03 19:08:11 - mmengine - INFO - Epoch(train) [4][2420/4451] lr: 9.1093e-02 eta: 2:33:23 time: 0.3188 data_time: 0.0096 memory: 8510 grad_norm: 0.1533 loss: 0.0514 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.7619 recall@top3: 0.7063 prec@top3: 0.4921 recall@top5: 0.8571 prec@top5: 0.3714 loss_action_cls: 0.0514 2022/12/03 19:08:17 - mmengine - INFO - Epoch(train) [4][2440/4451] lr: 9.1043e-02 eta: 2:33:16 time: 0.3209 data_time: 0.0109 memory: 8510 grad_norm: 0.1547 loss: 0.0476 recall@thr=0.5: 0.4062 prec@thr=0.5: 0.5521 recall@top3: 0.5208 prec@top3: 0.3958 recall@top5: 0.6354 prec@top5: 0.3000 loss_action_cls: 0.0476 2022/12/03 19:08:24 - mmengine - INFO - Epoch(train) [4][2460/4451] lr: 9.0992e-02 eta: 2:33:10 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1553 loss: 0.0517 recall@thr=0.5: 0.7125 prec@thr=0.5: 0.7417 recall@top3: 0.8083 prec@top3: 0.6833 recall@top5: 0.8750 prec@top5: 0.4500 loss_action_cls: 0.0517 2022/12/03 19:08:30 - mmengine - INFO - Epoch(train) [4][2480/4451] lr: 9.0942e-02 eta: 2:33:04 time: 0.3215 data_time: 0.0104 memory: 8510 grad_norm: 0.1484 loss: 0.0477 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.7778 recall@top3: 0.6984 prec@top3: 0.6508 recall@top5: 0.8571 prec@top5: 0.4476 loss_action_cls: 0.0477 2022/12/03 19:08:37 - mmengine - INFO - Epoch(train) [4][2500/4451] lr: 9.0891e-02 eta: 2:32:57 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1575 loss: 0.0500 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7667 recall@top3: 0.8000 prec@top3: 0.6833 recall@top5: 0.9250 prec@top5: 0.4900 loss_action_cls: 0.0500 2022/12/03 19:08:43 - mmengine - INFO - Epoch(train) [4][2520/4451] lr: 9.0840e-02 eta: 2:32:51 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1530 loss: 0.0498 recall@thr=0.5: 0.6819 prec@thr=0.5: 0.7049 recall@top3: 0.7868 prec@top3: 0.6389 recall@top5: 0.9847 prec@top5: 0.5167 loss_action_cls: 0.0498 2022/12/03 19:08:49 - mmengine - INFO - Epoch(train) [4][2540/4451] lr: 9.0789e-02 eta: 2:32:44 time: 0.3200 data_time: 0.0099 memory: 8510 grad_norm: 0.1528 loss: 0.0501 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.7667 recall@top3: 0.7042 prec@top3: 0.6333 recall@top5: 0.8583 prec@top5: 0.4500 loss_action_cls: 0.0501 2022/12/03 19:08:56 - mmengine - INFO - Epoch(train) [4][2560/4451] lr: 9.0738e-02 eta: 2:32:38 time: 0.3208 data_time: 0.0103 memory: 8510 grad_norm: 0.1575 loss: 0.0484 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.5588 recall@top3: 0.6863 prec@top3: 0.4902 recall@top5: 0.8725 prec@top5: 0.3647 loss_action_cls: 0.0484 2022/12/03 19:09:02 - mmengine - INFO - Epoch(train) [4][2580/4451] lr: 9.0687e-02 eta: 2:32:32 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.1488 loss: 0.0450 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7143 recall@top3: 0.9167 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0450 2022/12/03 19:09:09 - mmengine - INFO - Epoch(train) [4][2600/4451] lr: 9.0636e-02 eta: 2:32:25 time: 0.3185 data_time: 0.0100 memory: 8510 grad_norm: 0.1463 loss: 0.0481 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.7018 recall@top3: 0.8728 prec@top3: 0.5789 recall@top5: 0.9474 prec@top5: 0.3895 loss_action_cls: 0.0481 2022/12/03 19:09:15 - mmengine - INFO - Epoch(train) [4][2620/4451] lr: 9.0584e-02 eta: 2:32:19 time: 0.3207 data_time: 0.0115 memory: 8510 grad_norm: 0.1562 loss: 0.0417 recall@thr=0.5: 0.6420 prec@thr=0.5: 0.7469 recall@top3: 0.7531 prec@top3: 0.6296 recall@top5: 0.9259 prec@top5: 0.4741 loss_action_cls: 0.0417 2022/12/03 19:09:21 - mmengine - INFO - Epoch(train) [4][2640/4451] lr: 9.0533e-02 eta: 2:32:12 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1525 loss: 0.0477 recall@thr=0.5: 0.7413 prec@thr=0.5: 0.7952 recall@top3: 0.8222 prec@top3: 0.7302 recall@top5: 0.8794 prec@top5: 0.4952 loss_action_cls: 0.0477 2022/12/03 19:09:24 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:09:28 - mmengine - INFO - Epoch(train) [4][2660/4451] lr: 9.0481e-02 eta: 2:32:06 time: 0.3190 data_time: 0.0098 memory: 8510 grad_norm: 0.1541 loss: 0.0456 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5385 recall@top3: 0.6795 prec@top3: 0.5897 recall@top5: 0.8173 prec@top5: 0.4385 loss_action_cls: 0.0456 2022/12/03 19:09:34 - mmengine - INFO - Epoch(train) [4][2680/4451] lr: 9.0429e-02 eta: 2:32:00 time: 0.3209 data_time: 0.0098 memory: 8510 grad_norm: 0.1525 loss: 0.0489 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8021 recall@top3: 0.9115 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0489 2022/12/03 19:09:41 - mmengine - INFO - Epoch(train) [4][2700/4451] lr: 9.0377e-02 eta: 2:31:53 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1513 loss: 0.0483 recall@thr=0.5: 0.7531 prec@thr=0.5: 0.7963 recall@top3: 0.9568 prec@top3: 0.6049 recall@top5: 0.9815 prec@top5: 0.3778 loss_action_cls: 0.0483 2022/12/03 19:09:47 - mmengine - INFO - Epoch(train) [4][2720/4451] lr: 9.0325e-02 eta: 2:31:47 time: 0.3209 data_time: 0.0108 memory: 8510 grad_norm: 0.1542 loss: 0.0477 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7222 recall@top3: 0.7778 prec@top3: 0.5778 recall@top5: 0.9556 prec@top5: 0.4400 loss_action_cls: 0.0477 2022/12/03 19:09:53 - mmengine - INFO - Epoch(train) [4][2740/4451] lr: 9.0273e-02 eta: 2:31:40 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1532 loss: 0.0523 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7917 recall@top3: 0.7708 prec@top3: 0.6333 recall@top5: 0.9542 prec@top5: 0.4800 loss_action_cls: 0.0523 2022/12/03 19:10:00 - mmengine - INFO - Epoch(train) [4][2760/4451] lr: 9.0220e-02 eta: 2:31:34 time: 0.3201 data_time: 0.0103 memory: 8510 grad_norm: 0.1548 loss: 0.0439 recall@thr=0.5: 0.6537 prec@thr=0.5: 0.9259 recall@top3: 0.8398 prec@top3: 0.7037 recall@top5: 0.8815 prec@top5: 0.4556 loss_action_cls: 0.0439 2022/12/03 19:10:06 - mmengine - INFO - Epoch(train) [4][2780/4451] lr: 9.0168e-02 eta: 2:31:28 time: 0.3205 data_time: 0.0115 memory: 8510 grad_norm: 0.1582 loss: 0.0485 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8708 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.8250 prec@top5: 0.4100 loss_action_cls: 0.0485 2022/12/03 19:10:13 - mmengine - INFO - Epoch(train) [4][2800/4451] lr: 9.0115e-02 eta: 2:31:21 time: 0.3199 data_time: 0.0122 memory: 8510 grad_norm: 0.1555 loss: 0.0464 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.6778 recall@top3: 0.8778 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0464 2022/12/03 19:10:19 - mmengine - INFO - Epoch(train) [4][2820/4451] lr: 9.0063e-02 eta: 2:31:15 time: 0.3204 data_time: 0.0097 memory: 8510 grad_norm: 0.1601 loss: 0.0457 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.8796 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0457 2022/12/03 19:10:25 - mmengine - INFO - Epoch(train) [4][2840/4451] lr: 9.0010e-02 eta: 2:31:08 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.1558 loss: 0.0486 recall@thr=0.5: 0.6129 prec@thr=0.5: 0.7500 recall@top3: 0.7136 prec@top3: 0.6364 recall@top5: 0.9318 prec@top5: 0.5091 loss_action_cls: 0.0486 2022/12/03 19:10:32 - mmengine - INFO - Epoch(train) [4][2860/4451] lr: 8.9957e-02 eta: 2:31:02 time: 0.3217 data_time: 0.0102 memory: 8510 grad_norm: 0.1501 loss: 0.0530 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6361 recall@top3: 0.5972 prec@top3: 0.5139 recall@top5: 0.8674 prec@top5: 0.4583 loss_action_cls: 0.0530 2022/12/03 19:10:38 - mmengine - INFO - Epoch(train) [4][2880/4451] lr: 8.9904e-02 eta: 2:30:56 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1568 loss: 0.0550 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6510 recall@top3: 0.6615 prec@top3: 0.4792 recall@top5: 0.7865 prec@top5: 0.3500 loss_action_cls: 0.0550 2022/12/03 19:10:45 - mmengine - INFO - Epoch(train) [4][2900/4451] lr: 8.9850e-02 eta: 2:30:49 time: 0.3197 data_time: 0.0092 memory: 8510 grad_norm: 0.1566 loss: 0.0441 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.5729 recall@top3: 0.7708 prec@top3: 0.5312 recall@top5: 0.9271 prec@top5: 0.4062 loss_action_cls: 0.0441 2022/12/03 19:10:51 - mmengine - INFO - Epoch(train) [4][2920/4451] lr: 8.9797e-02 eta: 2:30:43 time: 0.3207 data_time: 0.0103 memory: 8510 grad_norm: 0.1574 loss: 0.0470 recall@thr=0.5: 0.5683 prec@thr=0.5: 0.6905 recall@top3: 0.7635 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.5238 loss_action_cls: 0.0470 2022/12/03 19:10:58 - mmengine - INFO - Epoch(train) [4][2940/4451] lr: 8.9744e-02 eta: 2:30:36 time: 0.3202 data_time: 0.0106 memory: 8510 grad_norm: 0.1516 loss: 0.0467 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7273 recall@top3: 0.6818 prec@top3: 0.5303 recall@top5: 0.8561 prec@top5: 0.4091 loss_action_cls: 0.0467 2022/12/03 19:11:04 - mmengine - INFO - Epoch(train) [4][2960/4451] lr: 8.9690e-02 eta: 2:30:30 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1552 loss: 0.0520 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.8144 recall@top3: 0.8409 prec@top3: 0.6364 recall@top5: 0.9318 prec@top5: 0.4364 loss_action_cls: 0.0520 2022/12/03 19:11:10 - mmengine - INFO - Epoch(train) [4][2980/4451] lr: 8.9636e-02 eta: 2:30:24 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1510 loss: 0.0454 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7083 recall@top3: 0.8438 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0454 2022/12/03 19:11:17 - mmengine - INFO - Epoch(train) [4][3000/4451] lr: 8.9582e-02 eta: 2:30:17 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1523 loss: 0.0440 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.7381 recall@top3: 0.7381 prec@top3: 0.6349 recall@top5: 0.9127 prec@top5: 0.4762 loss_action_cls: 0.0440 2022/12/03 19:11:23 - mmengine - INFO - Epoch(train) [4][3020/4451] lr: 8.9529e-02 eta: 2:30:11 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1571 loss: 0.0461 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.6035 recall@top3: 0.8158 prec@top3: 0.5789 recall@top5: 0.9474 prec@top5: 0.4105 loss_action_cls: 0.0461 2022/12/03 19:11:30 - mmengine - INFO - Epoch(train) [4][3040/4451] lr: 8.9474e-02 eta: 2:30:04 time: 0.3209 data_time: 0.0110 memory: 8510 grad_norm: 0.1505 loss: 0.0461 recall@thr=0.5: 0.5245 prec@thr=0.5: 0.6471 recall@top3: 0.6422 prec@top3: 0.5490 recall@top5: 0.7157 prec@top5: 0.3882 loss_action_cls: 0.0461 2022/12/03 19:11:36 - mmengine - INFO - Epoch(train) [4][3060/4451] lr: 8.9420e-02 eta: 2:29:58 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1509 loss: 0.0520 recall@thr=0.5: 0.6339 prec@thr=0.5: 0.6893 recall@top3: 0.6905 prec@top3: 0.6548 recall@top5: 0.8661 prec@top5: 0.4857 loss_action_cls: 0.0520 2022/12/03 19:11:42 - mmengine - INFO - Epoch(train) [4][3080/4451] lr: 8.9366e-02 eta: 2:29:52 time: 0.3216 data_time: 0.0106 memory: 8510 grad_norm: 0.1600 loss: 0.0492 recall@thr=0.5: 0.5181 prec@thr=0.5: 0.6304 recall@top3: 0.8841 prec@top3: 0.6232 recall@top5: 0.9058 prec@top5: 0.3913 loss_action_cls: 0.0492 2022/12/03 19:11:49 - mmengine - INFO - Epoch(train) [4][3100/4451] lr: 8.9311e-02 eta: 2:29:45 time: 0.3192 data_time: 0.0103 memory: 8510 grad_norm: 0.1535 loss: 0.0482 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.5439 recall@top3: 0.8333 prec@top3: 0.5614 recall@top5: 0.9211 prec@top5: 0.3789 loss_action_cls: 0.0482 2022/12/03 19:11:55 - mmengine - INFO - Epoch(train) [4][3120/4451] lr: 8.9257e-02 eta: 2:29:39 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1570 loss: 0.0467 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8421 recall@top3: 0.8596 prec@top3: 0.7193 recall@top5: 0.9035 prec@top5: 0.4632 loss_action_cls: 0.0467 2022/12/03 19:12:02 - mmengine - INFO - Epoch(train) [4][3140/4451] lr: 8.9202e-02 eta: 2:29:32 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.1484 loss: 0.0501 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6444 recall@top3: 0.7667 prec@top3: 0.6222 recall@top5: 0.8556 prec@top5: 0.4267 loss_action_cls: 0.0501 2022/12/03 19:12:08 - mmengine - INFO - Epoch(train) [4][3160/4451] lr: 8.9147e-02 eta: 2:29:26 time: 0.3202 data_time: 0.0105 memory: 8510 grad_norm: 0.1496 loss: 0.0457 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7386 recall@top3: 0.8596 prec@top3: 0.5965 recall@top5: 0.9386 prec@top5: 0.4000 loss_action_cls: 0.0457 2022/12/03 19:12:14 - mmengine - INFO - Epoch(train) [4][3180/4451] lr: 8.9092e-02 eta: 2:29:20 time: 0.3205 data_time: 0.0103 memory: 8510 grad_norm: 0.1502 loss: 0.0413 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.5909 recall@top3: 0.8030 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.5091 loss_action_cls: 0.0413 2022/12/03 19:12:21 - mmengine - INFO - Epoch(train) [4][3200/4451] lr: 8.9037e-02 eta: 2:29:13 time: 0.3207 data_time: 0.0112 memory: 8510 grad_norm: 0.1501 loss: 0.0454 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.5926 recall@top3: 0.7269 prec@top3: 0.5741 recall@top5: 0.8796 prec@top5: 0.4333 loss_action_cls: 0.0454 2022/12/03 19:12:27 - mmengine - INFO - Epoch(train) [4][3220/4451] lr: 8.8982e-02 eta: 2:29:07 time: 0.3189 data_time: 0.0103 memory: 8510 grad_norm: 0.1559 loss: 0.0474 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7160 recall@top3: 0.7562 prec@top3: 0.6420 recall@top5: 0.9043 prec@top5: 0.4815 loss_action_cls: 0.0474 2022/12/03 19:12:34 - mmengine - INFO - Epoch(train) [4][3240/4451] lr: 8.8927e-02 eta: 2:29:00 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1488 loss: 0.0499 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7600 recall@top3: 0.8133 prec@top3: 0.6533 recall@top5: 0.9333 prec@top5: 0.4640 loss_action_cls: 0.0499 2022/12/03 19:12:40 - mmengine - INFO - Epoch(train) [4][3260/4451] lr: 8.8871e-02 eta: 2:28:54 time: 0.3205 data_time: 0.0103 memory: 8510 grad_norm: 0.1525 loss: 0.0464 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.6354 recall@top3: 0.6562 prec@top3: 0.4583 recall@top5: 0.8750 prec@top5: 0.3875 loss_action_cls: 0.0464 2022/12/03 19:12:46 - mmengine - INFO - Epoch(train) [4][3280/4451] lr: 8.8816e-02 eta: 2:28:47 time: 0.3191 data_time: 0.0104 memory: 8510 grad_norm: 0.1546 loss: 0.0500 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5741 recall@top3: 0.6667 prec@top3: 0.4259 recall@top5: 0.8148 prec@top5: 0.3222 loss_action_cls: 0.0500 2022/12/03 19:12:53 - mmengine - INFO - Epoch(train) [4][3300/4451] lr: 8.8760e-02 eta: 2:28:41 time: 0.3208 data_time: 0.0098 memory: 8510 grad_norm: 0.1526 loss: 0.0484 recall@thr=0.5: 0.4035 prec@thr=0.5: 0.4386 recall@top3: 0.5877 prec@top3: 0.4561 recall@top5: 0.8114 prec@top5: 0.3789 loss_action_cls: 0.0484 2022/12/03 19:12:59 - mmengine - INFO - Epoch(train) [4][3320/4451] lr: 8.8704e-02 eta: 2:28:35 time: 0.3218 data_time: 0.0099 memory: 8510 grad_norm: 0.1552 loss: 0.0502 recall@thr=0.5: 0.5977 prec@thr=0.5: 0.6351 recall@top3: 0.8161 prec@top3: 0.5517 recall@top5: 1.0000 prec@top5: 0.4207 loss_action_cls: 0.0502 2022/12/03 19:13:06 - mmengine - INFO - Epoch(train) [4][3340/4451] lr: 8.8648e-02 eta: 2:28:28 time: 0.3203 data_time: 0.0105 memory: 8510 grad_norm: 0.1558 loss: 0.0466 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7685 recall@top3: 0.8704 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0466 2022/12/03 19:13:12 - mmengine - INFO - Epoch(train) [4][3360/4451] lr: 8.8592e-02 eta: 2:28:22 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1522 loss: 0.0476 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.5833 recall@top3: 0.6875 prec@top3: 0.4583 recall@top5: 0.7396 prec@top5: 0.3000 loss_action_cls: 0.0476 2022/12/03 19:13:19 - mmengine - INFO - Epoch(train) [4][3380/4451] lr: 8.8536e-02 eta: 2:28:16 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1538 loss: 0.0469 recall@thr=0.5: 0.5632 prec@thr=0.5: 0.5862 recall@top3: 0.8333 prec@top3: 0.6322 recall@top5: 0.9253 prec@top5: 0.4276 loss_action_cls: 0.0469 2022/12/03 19:13:25 - mmengine - INFO - Epoch(train) [4][3400/4451] lr: 8.8480e-02 eta: 2:28:09 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1557 loss: 0.0504 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6125 recall@top3: 0.6750 prec@top3: 0.5167 recall@top5: 0.8583 prec@top5: 0.4100 loss_action_cls: 0.0504 2022/12/03 19:13:31 - mmengine - INFO - Epoch(train) [4][3420/4451] lr: 8.8424e-02 eta: 2:28:03 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1575 loss: 0.0491 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.7857 recall@top3: 0.7857 prec@top3: 0.7460 recall@top5: 0.8889 prec@top5: 0.5143 loss_action_cls: 0.0491 2022/12/03 19:13:38 - mmengine - INFO - Epoch(train) [4][3440/4451] lr: 8.8367e-02 eta: 2:27:56 time: 0.3207 data_time: 0.0101 memory: 8510 grad_norm: 0.1526 loss: 0.0504 recall@thr=0.5: 0.5466 prec@thr=0.5: 0.6379 recall@top3: 0.5954 prec@top3: 0.5517 recall@top5: 0.7213 prec@top5: 0.4138 loss_action_cls: 0.0504 2022/12/03 19:13:44 - mmengine - INFO - Epoch(train) [4][3460/4451] lr: 8.8310e-02 eta: 2:27:50 time: 0.3190 data_time: 0.0103 memory: 8510 grad_norm: 0.1536 loss: 0.0464 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.9375 recall@top3: 0.8802 prec@top3: 0.7292 recall@top5: 0.9792 prec@top5: 0.4750 loss_action_cls: 0.0464 2022/12/03 19:13:51 - mmengine - INFO - Epoch(train) [4][3480/4451] lr: 8.8254e-02 eta: 2:27:44 time: 0.3214 data_time: 0.0098 memory: 8510 grad_norm: 0.1551 loss: 0.0484 recall@thr=0.5: 0.7762 prec@thr=0.5: 0.8643 recall@top3: 0.9214 prec@top3: 0.8476 recall@top5: 0.9929 prec@top5: 0.5543 loss_action_cls: 0.0484 2022/12/03 19:13:57 - mmengine - INFO - Epoch(train) [4][3500/4451] lr: 8.8197e-02 eta: 2:27:37 time: 0.3202 data_time: 0.0103 memory: 8510 grad_norm: 0.1545 loss: 0.0456 recall@thr=0.5: 0.5846 prec@thr=0.5: 0.6667 recall@top3: 0.7064 prec@top3: 0.6282 recall@top5: 0.8115 prec@top5: 0.4462 loss_action_cls: 0.0456 2022/12/03 19:14:03 - mmengine - INFO - Epoch(train) [4][3520/4451] lr: 8.8140e-02 eta: 2:27:31 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.1523 loss: 0.0500 recall@thr=0.5: 0.5567 prec@thr=0.5: 0.5467 recall@top3: 0.6533 prec@top3: 0.5067 recall@top5: 0.9067 prec@top5: 0.4080 loss_action_cls: 0.0500 2022/12/03 19:14:10 - mmengine - INFO - Epoch(train) [4][3540/4451] lr: 8.8083e-02 eta: 2:27:24 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1491 loss: 0.0469 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7576 recall@top3: 0.9015 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0469 2022/12/03 19:14:16 - mmengine - INFO - Epoch(train) [4][3560/4451] lr: 8.8025e-02 eta: 2:27:18 time: 0.3214 data_time: 0.0112 memory: 8510 grad_norm: 0.1477 loss: 0.0445 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.7500 recall@top3: 0.8056 prec@top3: 0.7037 recall@top5: 0.8611 prec@top5: 0.4556 loss_action_cls: 0.0445 2022/12/03 19:14:23 - mmengine - INFO - Epoch(train) [4][3580/4451] lr: 8.7968e-02 eta: 2:27:12 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1622 loss: 0.0472 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6618 recall@top3: 0.8529 prec@top3: 0.5882 recall@top5: 0.9461 prec@top5: 0.4118 loss_action_cls: 0.0472 2022/12/03 19:14:29 - mmengine - INFO - Epoch(train) [4][3600/4451] lr: 8.7911e-02 eta: 2:27:05 time: 0.3200 data_time: 0.0097 memory: 8510 grad_norm: 0.1532 loss: 0.0467 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6111 recall@top3: 0.7407 prec@top3: 0.6790 recall@top5: 0.9259 prec@top5: 0.5259 loss_action_cls: 0.0467 2022/12/03 19:14:35 - mmengine - INFO - Epoch(train) [4][3620/4451] lr: 8.7853e-02 eta: 2:26:59 time: 0.3204 data_time: 0.0098 memory: 8510 grad_norm: 0.1570 loss: 0.0517 recall@thr=0.5: 0.4889 prec@thr=0.5: 0.6444 recall@top3: 0.6278 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.5333 loss_action_cls: 0.0517 2022/12/03 19:14:42 - mmengine - INFO - Epoch(train) [4][3640/4451] lr: 8.7795e-02 eta: 2:26:52 time: 0.3202 data_time: 0.0120 memory: 8510 grad_norm: 0.1521 loss: 0.0499 recall@thr=0.5: 0.3878 prec@thr=0.5: 0.5064 recall@top3: 0.6763 prec@top3: 0.5513 recall@top5: 0.7788 prec@top5: 0.3846 loss_action_cls: 0.0499 2022/12/03 19:14:44 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:14:48 - mmengine - INFO - Epoch(train) [4][3660/4451] lr: 8.7738e-02 eta: 2:26:46 time: 0.3195 data_time: 0.0098 memory: 8510 grad_norm: 0.1507 loss: 0.0499 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6034 recall@top3: 0.6936 prec@top3: 0.6373 recall@top5: 0.9142 prec@top5: 0.5176 loss_action_cls: 0.0499 2022/12/03 19:14:55 - mmengine - INFO - Epoch(train) [4][3680/4451] lr: 8.7680e-02 eta: 2:26:39 time: 0.3197 data_time: 0.0097 memory: 8510 grad_norm: 0.1516 loss: 0.0482 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7292 recall@top3: 1.0000 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0482 2022/12/03 19:15:01 - mmengine - INFO - Epoch(train) [4][3700/4451] lr: 8.7622e-02 eta: 2:26:33 time: 0.3193 data_time: 0.0100 memory: 8510 grad_norm: 0.1554 loss: 0.0442 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.8444 recall@top3: 0.8956 prec@top3: 0.6889 recall@top5: 0.9311 prec@top5: 0.4400 loss_action_cls: 0.0442 2022/12/03 19:15:07 - mmengine - INFO - Epoch(train) [4][3720/4451] lr: 8.7563e-02 eta: 2:26:27 time: 0.3206 data_time: 0.0109 memory: 8510 grad_norm: 0.1547 loss: 0.0461 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6889 recall@top3: 0.7167 prec@top3: 0.5556 recall@top5: 0.9000 prec@top5: 0.4333 loss_action_cls: 0.0461 2022/12/03 19:15:14 - mmengine - INFO - Epoch(train) [4][3740/4451] lr: 8.7505e-02 eta: 2:26:20 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1523 loss: 0.0465 recall@thr=0.5: 0.5086 prec@thr=0.5: 0.6207 recall@top3: 0.7615 prec@top3: 0.5632 recall@top5: 0.8966 prec@top5: 0.4069 loss_action_cls: 0.0465 2022/12/03 19:15:20 - mmengine - INFO - Epoch(train) [4][3760/4451] lr: 8.7447e-02 eta: 2:26:14 time: 0.3211 data_time: 0.0105 memory: 8510 grad_norm: 0.1475 loss: 0.0518 recall@thr=0.5: 0.6161 prec@thr=0.5: 0.6667 recall@top3: 0.7619 prec@top3: 0.5952 recall@top5: 0.8988 prec@top5: 0.4500 loss_action_cls: 0.0518 2022/12/03 19:15:27 - mmengine - INFO - Epoch(train) [4][3780/4451] lr: 8.7388e-02 eta: 2:26:07 time: 0.3205 data_time: 0.0095 memory: 8510 grad_norm: 0.1572 loss: 0.0492 recall@thr=0.5: 0.4533 prec@thr=0.5: 0.5267 recall@top3: 0.7947 prec@top3: 0.5467 recall@top5: 0.8933 prec@top5: 0.4000 loss_action_cls: 0.0492 2022/12/03 19:15:33 - mmengine - INFO - Epoch(train) [4][3800/4451] lr: 8.7330e-02 eta: 2:26:01 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1534 loss: 0.0425 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.6894 recall@top3: 0.9394 prec@top3: 0.6061 recall@top5: 0.9697 prec@top5: 0.3818 loss_action_cls: 0.0425 2022/12/03 19:15:40 - mmengine - INFO - Epoch(train) [4][3820/4451] lr: 8.7271e-02 eta: 2:25:55 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.1525 loss: 0.0480 recall@thr=0.5: 0.3775 prec@thr=0.5: 0.4902 recall@top3: 0.7353 prec@top3: 0.5490 recall@top5: 0.8627 prec@top5: 0.4000 loss_action_cls: 0.0480 2022/12/03 19:15:46 - mmengine - INFO - Epoch(train) [4][3840/4451] lr: 8.7212e-02 eta: 2:25:48 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.1617 loss: 0.0511 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.6304 recall@top3: 0.6594 prec@top3: 0.5797 recall@top5: 0.8478 prec@top5: 0.4522 loss_action_cls: 0.0511 2022/12/03 19:15:52 - mmengine - INFO - Epoch(train) [4][3860/4451] lr: 8.7153e-02 eta: 2:25:42 time: 0.3218 data_time: 0.0099 memory: 8510 grad_norm: 0.1501 loss: 0.0444 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7315 recall@top3: 0.8796 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0444 2022/12/03 19:15:59 - mmengine - INFO - Epoch(train) [4][3880/4451] lr: 8.7094e-02 eta: 2:25:35 time: 0.3218 data_time: 0.0102 memory: 8510 grad_norm: 0.1550 loss: 0.0507 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.5833 recall@top3: 0.9167 prec@top3: 0.5333 recall@top5: 0.9500 prec@top5: 0.3400 loss_action_cls: 0.0507 2022/12/03 19:16:05 - mmengine - INFO - Epoch(train) [4][3900/4451] lr: 8.7035e-02 eta: 2:25:29 time: 0.3191 data_time: 0.0103 memory: 8510 grad_norm: 0.1486 loss: 0.0465 recall@thr=0.5: 0.4295 prec@thr=0.5: 0.5064 recall@top3: 0.6667 prec@top3: 0.5256 recall@top5: 0.7596 prec@top5: 0.3769 loss_action_cls: 0.0465 2022/12/03 19:16:12 - mmengine - INFO - Epoch(train) [4][3920/4451] lr: 8.6975e-02 eta: 2:25:23 time: 0.3203 data_time: 0.0104 memory: 8510 grad_norm: 0.1506 loss: 0.0480 recall@thr=0.5: 0.6048 prec@thr=0.5: 0.6587 recall@top3: 0.7159 prec@top3: 0.5873 recall@top5: 0.8222 prec@top5: 0.4190 loss_action_cls: 0.0480 2022/12/03 19:16:18 - mmengine - INFO - Epoch(train) [4][3940/4451] lr: 8.6916e-02 eta: 2:25:16 time: 0.3207 data_time: 0.0103 memory: 8510 grad_norm: 0.1488 loss: 0.0467 recall@thr=0.5: 0.3433 prec@thr=0.5: 0.5267 recall@top3: 0.5433 prec@top3: 0.4933 recall@top5: 0.7467 prec@top5: 0.4000 loss_action_cls: 0.0467 2022/12/03 19:16:24 - mmengine - INFO - Epoch(train) [4][3960/4451] lr: 8.6856e-02 eta: 2:25:10 time: 0.3195 data_time: 0.0107 memory: 8510 grad_norm: 0.1565 loss: 0.0468 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7986 recall@top3: 0.8750 prec@top3: 0.6944 recall@top5: 0.9688 prec@top5: 0.4667 loss_action_cls: 0.0468 2022/12/03 19:16:31 - mmengine - INFO - Epoch(train) [4][3980/4451] lr: 8.6797e-02 eta: 2:25:03 time: 0.3207 data_time: 0.0117 memory: 8510 grad_norm: 0.1598 loss: 0.0448 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.7106 recall@top3: 0.7212 prec@top3: 0.7121 recall@top5: 0.9545 prec@top5: 0.6000 loss_action_cls: 0.0448 2022/12/03 19:16:37 - mmengine - INFO - Epoch(train) [4][4000/4451] lr: 8.6737e-02 eta: 2:24:57 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1523 loss: 0.0470 recall@thr=0.5: 0.6641 prec@thr=0.5: 0.7606 recall@top3: 0.8182 prec@top3: 0.7879 recall@top5: 0.9646 prec@top5: 0.5636 loss_action_cls: 0.0470 2022/12/03 19:16:44 - mmengine - INFO - Epoch(train) [4][4020/4451] lr: 8.6677e-02 eta: 2:24:51 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1520 loss: 0.0438 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7257 recall@top3: 0.8125 prec@top3: 0.5694 recall@top5: 0.8889 prec@top5: 0.3917 loss_action_cls: 0.0438 2022/12/03 19:16:50 - mmengine - INFO - Epoch(train) [4][4040/4451] lr: 8.6617e-02 eta: 2:24:44 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1522 loss: 0.0452 recall@thr=0.5: 0.5968 prec@thr=0.5: 0.7027 recall@top3: 0.8694 prec@top3: 0.6847 recall@top5: 0.9459 prec@top5: 0.4595 loss_action_cls: 0.0452 2022/12/03 19:16:56 - mmengine - INFO - Epoch(train) [4][4060/4451] lr: 8.6557e-02 eta: 2:24:38 time: 0.3192 data_time: 0.0098 memory: 8510 grad_norm: 0.1518 loss: 0.0471 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6927 recall@top3: 0.8125 prec@top3: 0.5417 recall@top5: 0.9688 prec@top5: 0.4000 loss_action_cls: 0.0471 2022/12/03 19:17:03 - mmengine - INFO - Epoch(train) [4][4080/4451] lr: 8.6496e-02 eta: 2:24:31 time: 0.3201 data_time: 0.0104 memory: 8510 grad_norm: 0.1502 loss: 0.0452 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.6923 recall@top3: 0.7949 prec@top3: 0.4872 recall@top5: 0.8462 prec@top5: 0.3231 loss_action_cls: 0.0452 2022/12/03 19:17:09 - mmengine - INFO - Epoch(train) [4][4100/4451] lr: 8.6436e-02 eta: 2:24:25 time: 0.3215 data_time: 0.0109 memory: 8510 grad_norm: 0.1517 loss: 0.0548 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.6667 recall@top3: 0.7745 prec@top3: 0.6471 recall@top5: 0.8725 prec@top5: 0.4471 loss_action_cls: 0.0548 2022/12/03 19:17:16 - mmengine - INFO - Epoch(train) [4][4120/4451] lr: 8.6376e-02 eta: 2:24:19 time: 0.3214 data_time: 0.0102 memory: 8510 grad_norm: 0.1562 loss: 0.0479 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.6716 recall@top3: 0.8725 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.4000 loss_action_cls: 0.0479 2022/12/03 19:17:22 - mmengine - INFO - Epoch(train) [4][4140/4451] lr: 8.6315e-02 eta: 2:24:12 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1566 loss: 0.0491 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6944 recall@top3: 0.7142 prec@top3: 0.6420 recall@top5: 0.8796 prec@top5: 0.4963 loss_action_cls: 0.0491 2022/12/03 19:17:29 - mmengine - INFO - Epoch(train) [4][4160/4451] lr: 8.6254e-02 eta: 2:24:06 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1482 loss: 0.0449 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.8030 recall@top3: 0.8295 prec@top3: 0.7121 recall@top5: 0.9545 prec@top5: 0.5000 loss_action_cls: 0.0449 2022/12/03 19:17:35 - mmengine - INFO - Epoch(train) [4][4180/4451] lr: 8.6194e-02 eta: 2:23:59 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.1499 loss: 0.0447 recall@thr=0.5: 0.5060 prec@thr=0.5: 0.6667 recall@top3: 0.8810 prec@top3: 0.5714 recall@top5: 0.9643 prec@top5: 0.4000 loss_action_cls: 0.0447 2022/12/03 19:17:41 - mmengine - INFO - Epoch(train) [4][4200/4451] lr: 8.6133e-02 eta: 2:23:53 time: 0.3212 data_time: 0.0098 memory: 8510 grad_norm: 0.1600 loss: 0.0477 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7255 recall@top3: 0.7314 prec@top3: 0.5882 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0477 2022/12/03 19:17:48 - mmengine - INFO - Epoch(train) [4][4220/4451] lr: 8.6072e-02 eta: 2:23:47 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1531 loss: 0.0458 recall@thr=0.5: 0.7716 prec@thr=0.5: 0.8889 recall@top3: 0.8673 prec@top3: 0.7901 recall@top5: 0.8981 prec@top5: 0.4963 loss_action_cls: 0.0458 2022/12/03 19:17:54 - mmengine - INFO - Epoch(train) [4][4240/4451] lr: 8.6010e-02 eta: 2:23:40 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.1530 loss: 0.0489 recall@thr=0.5: 0.4292 prec@thr=0.5: 0.6167 recall@top3: 0.6542 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.4900 loss_action_cls: 0.0489 2022/12/03 19:18:01 - mmengine - INFO - Epoch(train) [4][4260/4451] lr: 8.5949e-02 eta: 2:23:34 time: 0.3221 data_time: 0.0125 memory: 8510 grad_norm: 0.1544 loss: 0.0503 recall@thr=0.5: 0.6576 prec@thr=0.5: 0.8561 recall@top3: 0.6985 prec@top3: 0.6212 recall@top5: 0.8712 prec@top5: 0.4818 loss_action_cls: 0.0503 2022/12/03 19:18:07 - mmengine - INFO - Epoch(train) [4][4280/4451] lr: 8.5888e-02 eta: 2:23:28 time: 0.3202 data_time: 0.0097 memory: 8510 grad_norm: 0.1518 loss: 0.0454 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7206 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 0.9216 prec@top5: 0.4000 loss_action_cls: 0.0454 2022/12/03 19:18:13 - mmengine - INFO - Epoch(train) [4][4300/4451] lr: 8.5826e-02 eta: 2:23:21 time: 0.3209 data_time: 0.0108 memory: 8510 grad_norm: 0.1481 loss: 0.0522 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.6358 recall@top3: 0.9290 prec@top3: 0.7901 recall@top5: 0.9475 prec@top5: 0.4815 loss_action_cls: 0.0522 2022/12/03 19:18:20 - mmengine - INFO - Epoch(train) [4][4320/4451] lr: 8.5765e-02 eta: 2:23:15 time: 0.3198 data_time: 0.0099 memory: 8510 grad_norm: 0.1517 loss: 0.0500 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.5833 recall@top3: 0.5625 prec@top3: 0.4792 recall@top5: 0.8021 prec@top5: 0.3625 loss_action_cls: 0.0500 2022/12/03 19:18:26 - mmengine - INFO - Epoch(train) [4][4340/4451] lr: 8.5703e-02 eta: 2:23:08 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.1560 loss: 0.0440 recall@thr=0.5: 0.7902 prec@thr=0.5: 0.8480 recall@top3: 0.8814 prec@top3: 0.7451 recall@top5: 0.9765 prec@top5: 0.5176 loss_action_cls: 0.0440 2022/12/03 19:18:33 - mmengine - INFO - Epoch(train) [4][4360/4451] lr: 8.5641e-02 eta: 2:23:02 time: 0.3219 data_time: 0.0102 memory: 8510 grad_norm: 0.1541 loss: 0.0476 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.7353 recall@top3: 0.7108 prec@top3: 0.6667 recall@top5: 0.8725 prec@top5: 0.5176 loss_action_cls: 0.0476 2022/12/03 19:18:39 - mmengine - INFO - Epoch(train) [4][4380/4451] lr: 8.5579e-02 eta: 2:22:56 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1559 loss: 0.0469 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.7500 recall@top3: 0.8021 prec@top3: 0.5208 recall@top5: 0.9792 prec@top5: 0.4000 loss_action_cls: 0.0469 2022/12/03 19:18:45 - mmengine - INFO - Epoch(train) [4][4400/4451] lr: 8.5517e-02 eta: 2:22:49 time: 0.3198 data_time: 0.0113 memory: 8510 grad_norm: 0.1561 loss: 0.0498 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6754 recall@top3: 0.7632 prec@top3: 0.5263 recall@top5: 0.9561 prec@top5: 0.4105 loss_action_cls: 0.0498 2022/12/03 19:18:52 - mmengine - INFO - Epoch(train) [4][4420/4451] lr: 8.5455e-02 eta: 2:22:43 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1560 loss: 0.0458 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.5714 recall@top3: 0.7143 prec@top3: 0.4762 recall@top5: 0.9286 prec@top5: 0.3429 loss_action_cls: 0.0458 2022/12/03 19:18:58 - mmengine - INFO - Epoch(train) [4][4440/4451] lr: 8.5393e-02 eta: 2:22:36 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1578 loss: 0.0439 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.6746 recall@top3: 0.6270 prec@top3: 0.4762 recall@top5: 0.7460 prec@top5: 0.3429 loss_action_cls: 0.0439 2022/12/03 19:19:02 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:19:02 - mmengine - INFO - Epoch(train) [4][4451/4451] lr: 8.5358e-02 eta: 2:22:33 time: 0.3142 data_time: 0.0096 memory: 8510 grad_norm: 0.1541 loss: 0.0472 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.5098 recall@top3: 0.7843 prec@top3: 0.3725 recall@top5: 0.8235 prec@top5: 0.2471 loss_action_cls: 0.0472 2022/12/03 19:19:02 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/12/03 19:19:07 - mmengine - INFO - Epoch(val) [4][ 20/6282] eta: 0:04:41 time: 0.0449 data_time: 0.0080 memory: 661 2022/12/03 19:19:08 - mmengine - INFO - Epoch(val) [4][ 40/6282] eta: 0:04:22 time: 0.0393 data_time: 0.0049 memory: 661 2022/12/03 19:19:08 - mmengine - INFO - Epoch(val) [4][ 60/6282] eta: 0:04:16 time: 0.0395 data_time: 0.0050 memory: 661 2022/12/03 19:19:10 - mmengine - INFO - Epoch(val) [4][ 80/6282] eta: 0:04:41 time: 0.0577 data_time: 0.0247 memory: 661 2022/12/03 19:19:10 - mmengine - INFO - Epoch(val) [4][ 100/6282] eta: 0:04:32 time: 0.0389 data_time: 0.0045 memory: 661 2022/12/03 19:19:11 - mmengine - INFO - Epoch(val) [4][ 120/6282] eta: 0:04:33 time: 0.0461 data_time: 0.0045 memory: 732 2022/12/03 19:19:12 - mmengine - INFO - Epoch(val) [4][ 140/6282] eta: 0:04:36 time: 0.0482 data_time: 0.0052 memory: 732 2022/12/03 19:19:13 - mmengine - INFO - Epoch(val) [4][ 160/6282] eta: 0:04:39 time: 0.0500 data_time: 0.0063 memory: 732 2022/12/03 19:19:14 - mmengine - INFO - Epoch(val) [4][ 180/6282] eta: 0:04:41 time: 0.0501 data_time: 0.0046 memory: 732 2022/12/03 19:19:15 - mmengine - INFO - Epoch(val) [4][ 200/6282] eta: 0:04:41 time: 0.0478 data_time: 0.0054 memory: 732 2022/12/03 19:19:16 - mmengine - INFO - Epoch(val) [4][ 220/6282] eta: 0:04:38 time: 0.0421 data_time: 0.0041 memory: 674 2022/12/03 19:19:17 - mmengine - INFO - Epoch(val) [4][ 240/6282] eta: 0:04:35 time: 0.0432 data_time: 0.0054 memory: 674 2022/12/03 19:19:18 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time: 0.0531 data_time: 0.0058 memory: 732 2022/12/03 19:19:42 - mmengine - INFO - Epoch(val) [4][ 760/6282] eta: 0:04:20 time: 0.0529 data_time: 0.0065 memory: 732 2022/12/03 19:19:43 - mmengine - INFO - Epoch(val) [4][ 780/6282] eta: 0:04:20 time: 0.0520 data_time: 0.0050 memory: 732 2022/12/03 19:19:44 - mmengine - INFO - Epoch(val) [4][ 800/6282] eta: 0:04:19 time: 0.0498 data_time: 0.0055 memory: 732 2022/12/03 19:19:45 - mmengine - INFO - Epoch(val) [4][ 820/6282] eta: 0:04:18 time: 0.0452 data_time: 0.0040 memory: 732 2022/12/03 19:19:46 - mmengine - INFO - Epoch(val) [4][ 840/6282] eta: 0:04:16 time: 0.0424 data_time: 0.0045 memory: 674 2022/12/03 19:19:47 - mmengine - INFO - Epoch(val) [4][ 860/6282] eta: 0:04:15 time: 0.0410 data_time: 0.0050 memory: 674 2022/12/03 19:19:47 - mmengine - INFO - Epoch(val) [4][ 880/6282] eta: 0:04:13 time: 0.0421 data_time: 0.0049 memory: 674 2022/12/03 19:19:48 - mmengine - INFO - Epoch(val) [4][ 900/6282] eta: 0:04:11 time: 0.0410 data_time: 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2022/12/03 19:19:56 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:04:00 time: 0.0457 data_time: 0.0060 memory: 674 2022/12/03 19:19:57 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:03:59 time: 0.0496 data_time: 0.0067 memory: 674 2022/12/03 19:19:58 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:03:58 time: 0.0501 data_time: 0.0051 memory: 674 2022/12/03 19:19:59 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:03:57 time: 0.0441 data_time: 0.0057 memory: 674 2022/12/03 19:20:00 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:03:57 time: 0.0522 data_time: 0.0070 memory: 674 2022/12/03 19:20:01 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:03:56 time: 0.0518 data_time: 0.0076 memory: 674 2022/12/03 19:20:02 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:03:56 time: 0.0557 data_time: 0.0082 memory: 674 2022/12/03 19:20:03 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:03:56 time: 0.0567 data_time: 0.0101 memory: 674 2022/12/03 19:20:05 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:03:57 time: 0.0664 data_time: 0.0119 memory: 732 2022/12/03 19:20:06 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:03:57 time: 0.0581 data_time: 0.0064 memory: 732 2022/12/03 19:20:07 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:03:57 time: 0.0568 data_time: 0.0112 memory: 732 2022/12/03 19:20:08 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:03:56 time: 0.0519 data_time: 0.0052 memory: 732 2022/12/03 19:20:09 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:03:55 time: 0.0540 data_time: 0.0063 memory: 732 2022/12/03 19:20:10 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:03:55 time: 0.0520 data_time: 0.0065 memory: 732 2022/12/03 19:20:11 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:03:54 time: 0.0469 data_time: 0.0051 memory: 732 2022/12/03 19:20:12 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:03:53 time: 0.0443 data_time: 0.0032 memory: 732 2022/12/03 19:20:13 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:03:52 time: 0.0452 data_time: 0.0042 memory: 732 2022/12/03 19:20:14 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:03:50 time: 0.0440 data_time: 0.0047 memory: 732 2022/12/03 19:20:15 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:03:49 time: 0.0435 data_time: 0.0040 memory: 732 2022/12/03 19:20:15 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:03:48 time: 0.0440 data_time: 0.0035 memory: 732 2022/12/03 19:20:16 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:03:47 time: 0.0450 data_time: 0.0041 memory: 732 2022/12/03 19:20:17 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:03:46 time: 0.0459 data_time: 0.0041 memory: 732 2022/12/03 19:20:18 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:03:45 time: 0.0471 data_time: 0.0055 memory: 819 2022/12/03 19:20:19 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:03:44 time: 0.0534 data_time: 0.0047 memory: 819 2022/12/03 19:20:20 - mmengine - INFO - Epoch(val) 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0:03:38 time: 0.0519 data_time: 0.0059 memory: 732 2022/12/03 19:20:30 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:03:37 time: 0.0532 data_time: 0.0071 memory: 732 2022/12/03 19:20:31 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:03:36 time: 0.0530 data_time: 0.0069 memory: 732 2022/12/03 19:20:32 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:03:35 time: 0.0510 data_time: 0.0057 memory: 732 2022/12/03 19:20:33 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:03:35 time: 0.0520 data_time: 0.0064 memory: 732 2022/12/03 19:20:34 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:03:34 time: 0.0516 data_time: 0.0066 memory: 732 2022/12/03 19:20:35 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:03:33 time: 0.0565 data_time: 0.0095 memory: 732 2022/12/03 19:20:36 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:03:33 time: 0.0522 data_time: 0.0056 memory: 732 2022/12/03 19:20:37 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:03:32 time: 0.0495 data_time: 0.0046 memory: 732 2022/12/03 19:20:38 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:03:31 time: 0.0470 data_time: 0.0052 memory: 732 2022/12/03 19:20:39 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:03:30 time: 0.0490 data_time: 0.0043 memory: 732 2022/12/03 19:20:40 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:03:29 time: 0.0485 data_time: 0.0072 memory: 732 2022/12/03 19:20:41 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:03:28 time: 0.0434 data_time: 0.0056 memory: 678 2022/12/03 19:20:42 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:03:26 time: 0.0404 data_time: 0.0045 memory: 678 2022/12/03 19:20:43 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:03:26 time: 0.0592 data_time: 0.0235 memory: 678 2022/12/03 19:20:44 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:03:25 time: 0.0423 data_time: 0.0049 memory: 678 2022/12/03 19:20:44 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:03:23 time: 0.0414 data_time: 0.0057 memory: 678 2022/12/03 19:20:45 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:03:22 time: 0.0423 data_time: 0.0052 memory: 678 2022/12/03 19:20:46 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:03:21 time: 0.0430 data_time: 0.0059 memory: 678 2022/12/03 19:20:47 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:03:20 time: 0.0421 data_time: 0.0039 memory: 678 2022/12/03 19:20:48 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:03:19 time: 0.0429 data_time: 0.0052 memory: 678 2022/12/03 19:20:49 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:03:17 time: 0.0412 data_time: 0.0050 memory: 678 2022/12/03 19:20:49 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:03:16 time: 0.0422 data_time: 0.0038 memory: 674 2022/12/03 19:20:50 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:03:15 time: 0.0446 data_time: 0.0056 memory: 674 2022/12/03 19:20:51 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:03:14 time: 0.0419 data_time: 0.0047 memory: 674 2022/12/03 19:20:52 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:03:13 time: 0.0431 data_time: 0.0052 memory: 674 2022/12/03 19:20:53 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:03:12 time: 0.0456 data_time: 0.0073 memory: 674 2022/12/03 19:20:54 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:03:11 time: 0.0419 data_time: 0.0063 memory: 678 2022/12/03 19:20:55 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:03:10 time: 0.0439 data_time: 0.0053 memory: 678 2022/12/03 19:20:56 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:03:09 time: 0.0465 data_time: 0.0053 memory: 678 2022/12/03 19:20:57 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:03:08 time: 0.0468 data_time: 0.0055 memory: 678 2022/12/03 19:20:58 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:03:07 time: 0.0452 data_time: 0.0056 memory: 678 2022/12/03 19:20:59 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:03:06 time: 0.0495 data_time: 0.0093 memory: 674 2022/12/03 19:20:59 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:03:05 time: 0.0482 data_time: 0.0080 memory: 674 2022/12/03 19:21:00 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:03:04 time: 0.0491 data_time: 0.0076 memory: 674 2022/12/03 19:21:01 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:03:03 time: 0.0465 data_time: 0.0059 memory: 674 2022/12/03 19:21:02 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:03:02 time: 0.0482 data_time: 0.0059 memory: 674 2022/12/03 19:21:03 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:03:01 time: 0.0514 data_time: 0.0058 memory: 732 2022/12/03 19:21:04 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:03:00 time: 0.0501 data_time: 0.0062 memory: 732 2022/12/03 19:21:05 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:02:59 time: 0.0483 data_time: 0.0044 memory: 732 2022/12/03 19:21:06 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:02:59 time: 0.0516 data_time: 0.0062 memory: 732 2022/12/03 19:21:07 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:02:58 time: 0.0529 data_time: 0.0074 memory: 732 2022/12/03 19:21:09 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:02:57 time: 0.0524 data_time: 0.0056 memory: 732 2022/12/03 19:21:10 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:02:56 time: 0.0503 data_time: 0.0054 memory: 732 2022/12/03 19:21:11 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:02:55 time: 0.0546 data_time: 0.0052 memory: 732 2022/12/03 19:21:12 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:02:54 time: 0.0519 data_time: 0.0068 memory: 732 2022/12/03 19:21:13 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:02:54 time: 0.0512 data_time: 0.0046 memory: 732 2022/12/03 19:21:14 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:02:53 time: 0.0516 data_time: 0.0039 memory: 811 2022/12/03 19:21:15 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:02:52 time: 0.0501 data_time: 0.0046 memory: 811 2022/12/03 19:21:16 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:02:51 time: 0.0550 data_time: 0.0046 memory: 811 2022/12/03 19:21:17 - mmengine - INFO - Epoch(val) [4][2720/6282] eta: 0:02:50 time: 0.0569 data_time: 0.0058 memory: 811 2022/12/03 19:21:18 - mmengine - INFO - Epoch(val) [4][2740/6282] eta: 0:02:50 time: 0.0529 data_time: 0.0050 memory: 811 2022/12/03 19:21:19 - mmengine - INFO - Epoch(val) [4][2760/6282] eta: 0:02:48 time: 0.0411 data_time: 0.0046 memory: 678 2022/12/03 19:21:20 - mmengine - INFO - Epoch(val) [4][2780/6282] eta: 0:02:47 time: 0.0440 data_time: 0.0065 memory: 678 2022/12/03 19:21:21 - mmengine - INFO - Epoch(val) [4][2800/6282] eta: 0:02:46 time: 0.0401 data_time: 0.0047 memory: 678 2022/12/03 19:21:21 - mmengine - INFO - Epoch(val) [4][2820/6282] eta: 0:02:45 time: 0.0414 data_time: 0.0061 memory: 678 2022/12/03 19:21:22 - mmengine - INFO - Epoch(val) [4][2840/6282] eta: 0:02:44 time: 0.0401 data_time: 0.0045 memory: 678 2022/12/03 19:21:23 - mmengine - INFO - Epoch(val) [4][2860/6282] eta: 0:02:43 time: 0.0457 data_time: 0.0054 memory: 732 2022/12/03 19:21:24 - mmengine - INFO - Epoch(val) [4][2880/6282] eta: 0:02:42 time: 0.0517 data_time: 0.0053 memory: 732 2022/12/03 19:21:25 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:02:41 time: 0.0475 data_time: 0.0052 memory: 732 2022/12/03 19:21:26 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:02:40 time: 0.0448 data_time: 0.0035 memory: 732 2022/12/03 19:21:27 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:02:39 time: 0.0422 data_time: 0.0043 memory: 701 2022/12/03 19:21:28 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:02:38 time: 0.0430 data_time: 0.0060 memory: 701 2022/12/03 19:21:29 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:02:37 time: 0.0414 data_time: 0.0046 memory: 701 2022/12/03 19:21:29 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:02:36 time: 0.0432 data_time: 0.0048 memory: 701 2022/12/03 19:21:30 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:02:35 time: 0.0479 data_time: 0.0046 memory: 732 2022/12/03 19:21:31 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:02:34 time: 0.0444 data_time: 0.0061 memory: 732 2022/12/03 19:21:32 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:02:33 time: 0.0449 data_time: 0.0028 memory: 732 2022/12/03 19:21:33 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:02:32 time: 0.0454 data_time: 0.0059 memory: 732 2022/12/03 19:21:34 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:02:31 time: 0.0455 data_time: 0.0053 memory: 732 2022/12/03 19:21:35 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:02:30 time: 0.0445 data_time: 0.0059 memory: 678 2022/12/03 19:21:36 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:02:29 time: 0.0440 data_time: 0.0053 memory: 678 2022/12/03 19:21:37 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:02:28 time: 0.0431 data_time: 0.0058 memory: 678 2022/12/03 19:21:38 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:02:27 time: 0.0432 data_time: 0.0054 memory: 678 2022/12/03 19:21:38 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:02:26 time: 0.0449 data_time: 0.0044 memory: 732 2022/12/03 19:21:39 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:02:25 time: 0.0471 data_time: 0.0054 memory: 732 2022/12/03 19:21:40 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:02:24 time: 0.0464 data_time: 0.0051 memory: 732 2022/12/03 19:21:41 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:02:23 time: 0.0472 data_time: 0.0060 memory: 732 2022/12/03 19:21:42 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:02:22 time: 0.0480 data_time: 0.0048 memory: 732 2022/12/03 19:21:43 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:02:21 time: 0.0460 data_time: 0.0048 memory: 732 2022/12/03 19:21:44 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:02:20 time: 0.0474 data_time: 0.0043 memory: 732 2022/12/03 19:21:45 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:02:19 time: 0.0500 data_time: 0.0048 memory: 732 2022/12/03 19:21:46 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:02:18 time: 0.0473 data_time: 0.0047 memory: 732 2022/12/03 19:21:47 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:02:17 time: 0.0447 data_time: 0.0055 memory: 732 2022/12/03 19:21:48 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:02:16 time: 0.0422 data_time: 0.0053 memory: 674 2022/12/03 19:21:49 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:02:15 time: 0.0432 data_time: 0.0052 memory: 674 2022/12/03 19:21:50 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:02:14 time: 0.0440 data_time: 0.0053 memory: 674 2022/12/03 19:21:50 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:02:13 time: 0.0425 data_time: 0.0065 memory: 674 2022/12/03 19:21:51 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:02:12 time: 0.0418 data_time: 0.0053 memory: 674 2022/12/03 19:21:52 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:02:11 time: 0.0437 data_time: 0.0060 memory: 674 2022/12/03 19:21:53 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:02:10 time: 0.0426 data_time: 0.0057 memory: 674 2022/12/03 19:21:54 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:02:09 time: 0.0455 data_time: 0.0062 memory: 674 2022/12/03 19:21:55 - mmengine - INFO - Epoch(val) [4][3560/6282] eta: 0:02:08 time: 0.0418 data_time: 0.0056 memory: 674 2022/12/03 19:21:56 - mmengine - INFO - Epoch(val) [4][3580/6282] eta: 0:02:07 time: 0.0431 data_time: 0.0047 memory: 715 2022/12/03 19:21:57 - mmengine - INFO - Epoch(val) [4][3600/6282] eta: 0:02:06 time: 0.0472 data_time: 0.0064 memory: 715 2022/12/03 19:21:58 - mmengine - INFO - Epoch(val) [4][3620/6282] eta: 0:02:05 time: 0.0460 data_time: 0.0047 memory: 715 2022/12/03 19:21:58 - mmengine - INFO - Epoch(val) [4][3640/6282] eta: 0:02:04 time: 0.0480 data_time: 0.0059 memory: 715 2022/12/03 19:21:59 - mmengine - INFO - Epoch(val) [4][3660/6282] eta: 0:02:03 time: 0.0466 data_time: 0.0066 memory: 715 2022/12/03 19:22:00 - mmengine - INFO - Epoch(val) [4][3680/6282] eta: 0:02:02 time: 0.0460 data_time: 0.0035 memory: 732 2022/12/03 19:22:01 - mmengine - INFO - Epoch(val) [4][3700/6282] eta: 0:02:01 time: 0.0485 data_time: 0.0050 memory: 732 2022/12/03 19:22:02 - mmengine - INFO - Epoch(val) [4][3720/6282] eta: 0:02:00 time: 0.0470 data_time: 0.0053 memory: 732 2022/12/03 19:22:03 - mmengine - INFO - Epoch(val) [4][3740/6282] eta: 0:01:59 time: 0.0484 data_time: 0.0072 memory: 732 2022/12/03 19:22:04 - mmengine - INFO - Epoch(val) [4][3760/6282] eta: 0:01:59 time: 0.0548 data_time: 0.0127 memory: 732 2022/12/03 19:22:05 - mmengine - INFO - Epoch(val) [4][3780/6282] eta: 0:01:58 time: 0.0465 data_time: 0.0046 memory: 732 2022/12/03 19:22:06 - mmengine - INFO - Epoch(val) [4][3800/6282] eta: 0:01:57 time: 0.0439 data_time: 0.0030 memory: 732 2022/12/03 19:22:07 - mmengine - INFO - Epoch(val) [4][3820/6282] eta: 0:01:56 time: 0.0441 data_time: 0.0050 memory: 732 2022/12/03 19:22:08 - mmengine - INFO - Epoch(val) [4][3840/6282] eta: 0:01:55 time: 0.0458 data_time: 0.0060 memory: 732 2022/12/03 19:22:09 - mmengine - INFO - Epoch(val) [4][3860/6282] eta: 0:01:54 time: 0.0469 data_time: 0.0058 memory: 732 2022/12/03 19:22:10 - mmengine - INFO - Epoch(val) [4][3880/6282] eta: 0:01:53 time: 0.0435 data_time: 0.0045 memory: 732 2022/12/03 19:22:11 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:01:52 time: 0.0474 data_time: 0.0043 memory: 732 2022/12/03 19:22:12 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:01:51 time: 0.0477 data_time: 0.0039 memory: 732 2022/12/03 19:22:13 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:01:50 time: 0.0475 data_time: 0.0052 memory: 732 2022/12/03 19:22:14 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:01:49 time: 0.0460 data_time: 0.0044 memory: 732 2022/12/03 19:22:14 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:01:48 time: 0.0455 data_time: 0.0030 memory: 732 2022/12/03 19:22:15 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:01:47 time: 0.0446 data_time: 0.0043 memory: 732 2022/12/03 19:22:16 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:01:46 time: 0.0473 data_time: 0.0047 memory: 732 2022/12/03 19:22:17 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:01:45 time: 0.0460 data_time: 0.0039 memory: 811 2022/12/03 19:22:18 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:01:44 time: 0.0502 data_time: 0.0055 memory: 811 2022/12/03 19:22:19 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:01:43 time: 0.0509 data_time: 0.0039 memory: 811 2022/12/03 19:22:20 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:01:42 time: 0.0510 data_time: 0.0045 memory: 811 2022/12/03 19:22:21 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:01:42 time: 0.0494 data_time: 0.0037 memory: 811 2022/12/03 19:22:22 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:01:41 time: 0.0502 data_time: 0.0049 memory: 811 2022/12/03 19:22:23 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:01:40 time: 0.0394 data_time: 0.0044 memory: 674 2022/12/03 19:22:24 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:01:39 time: 0.0411 data_time: 0.0052 memory: 674 2022/12/03 19:22:25 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:01:38 time: 0.0419 data_time: 0.0048 memory: 674 2022/12/03 19:22:26 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:01:37 time: 0.0433 data_time: 0.0062 memory: 674 2022/12/03 19:22:26 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:01:36 time: 0.0434 data_time: 0.0058 memory: 674 2022/12/03 19:22:27 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:01:35 time: 0.0443 data_time: 0.0060 memory: 672 2022/12/03 19:22:28 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:01:34 time: 0.0431 data_time: 0.0074 memory: 672 2022/12/03 19:22:29 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:01:33 time: 0.0399 data_time: 0.0051 memory: 672 2022/12/03 19:22:30 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:01:32 time: 0.0393 data_time: 0.0036 memory: 672 2022/12/03 19:22:31 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:01:31 time: 0.0398 data_time: 0.0042 memory: 672 2022/12/03 19:22:32 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:01:30 time: 0.0445 data_time: 0.0052 memory: 732 2022/12/03 19:22:32 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:01:29 time: 0.0448 data_time: 0.0058 memory: 732 2022/12/03 19:22:33 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:01:28 time: 0.0439 data_time: 0.0050 memory: 732 2022/12/03 19:22:34 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:01:27 time: 0.0439 data_time: 0.0040 memory: 732 2022/12/03 19:22:35 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:01:26 time: 0.0469 data_time: 0.0051 memory: 739 2022/12/03 19:22:36 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:01:25 time: 0.0471 data_time: 0.0049 memory: 739 2022/12/03 19:22:37 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:01:24 time: 0.0481 data_time: 0.0054 memory: 739 2022/12/03 19:22:38 - mmengine - INFO - Epoch(val) 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data_time: 0.0051 memory: 732 2022/12/03 19:22:53 - mmengine - INFO - Epoch(val) [4][4840/6282] eta: 0:01:07 time: 0.0482 data_time: 0.0054 memory: 732 2022/12/03 19:22:54 - mmengine - INFO - Epoch(val) [4][4860/6282] eta: 0:01:06 time: 0.0482 data_time: 0.0043 memory: 732 2022/12/03 19:22:55 - mmengine - INFO - Epoch(val) [4][4880/6282] eta: 0:01:05 time: 0.0456 data_time: 0.0045 memory: 732 2022/12/03 19:22:56 - mmengine - INFO - Epoch(val) [4][4900/6282] eta: 0:01:04 time: 0.0480 data_time: 0.0051 memory: 732 2022/12/03 19:22:57 - mmengine - INFO - Epoch(val) [4][4920/6282] eta: 0:01:03 time: 0.0470 data_time: 0.0040 memory: 735 2022/12/03 19:22:58 - mmengine - INFO - Epoch(val) [4][4940/6282] eta: 0:01:02 time: 0.0486 data_time: 0.0057 memory: 735 2022/12/03 19:22:59 - mmengine - INFO - Epoch(val) [4][4960/6282] eta: 0:01:01 time: 0.0508 data_time: 0.0057 memory: 735 2022/12/03 19:23:00 - mmengine - INFO - Epoch(val) [4][4980/6282] eta: 0:01:00 time: 0.0472 data_time: 0.0048 memory: 735 2022/12/03 19:23:01 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:00:59 time: 0.0451 data_time: 0.0042 memory: 735 2022/12/03 19:23:02 - mmengine - INFO - Epoch(val) [4][5020/6282] eta: 0:00:58 time: 0.0478 data_time: 0.0052 memory: 735 2022/12/03 19:23:02 - mmengine - INFO - Epoch(val) [4][5040/6282] eta: 0:00:57 time: 0.0407 data_time: 0.0046 memory: 678 2022/12/03 19:23:03 - mmengine - INFO - Epoch(val) [4][5060/6282] eta: 0:00:57 time: 0.0425 data_time: 0.0058 memory: 678 2022/12/03 19:23:04 - mmengine - INFO - Epoch(val) [4][5080/6282] eta: 0:00:56 time: 0.0451 data_time: 0.0074 memory: 678 2022/12/03 19:23:05 - mmengine - INFO - Epoch(val) [4][5100/6282] eta: 0:00:55 time: 0.0414 data_time: 0.0059 memory: 678 2022/12/03 19:23:06 - mmengine - INFO - Epoch(val) [4][5120/6282] eta: 0:00:54 time: 0.0437 data_time: 0.0055 memory: 678 2022/12/03 19:23:07 - mmengine - INFO - Epoch(val) [4][5140/6282] eta: 0:00:53 time: 0.0433 data_time: 0.0061 memory: 674 2022/12/03 19:23:08 - mmengine - INFO - Epoch(val) [4][5160/6282] eta: 0:00:52 time: 0.0454 data_time: 0.0056 memory: 674 2022/12/03 19:23:09 - mmengine - INFO - Epoch(val) [4][5180/6282] eta: 0:00:51 time: 0.0434 data_time: 0.0054 memory: 674 2022/12/03 19:23:09 - mmengine - INFO - Epoch(val) [4][5200/6282] eta: 0:00:50 time: 0.0435 data_time: 0.0054 memory: 674 2022/12/03 19:23:10 - mmengine - INFO - Epoch(val) [4][5220/6282] eta: 0:00:49 time: 0.0426 data_time: 0.0051 memory: 674 2022/12/03 19:23:11 - mmengine - INFO - Epoch(val) [4][5240/6282] eta: 0:00:48 time: 0.0442 data_time: 0.0062 memory: 672 2022/12/03 19:23:12 - mmengine - INFO - Epoch(val) [4][5260/6282] eta: 0:00:47 time: 0.0429 data_time: 0.0067 memory: 672 2022/12/03 19:23:13 - mmengine - INFO - Epoch(val) [4][5280/6282] eta: 0:00:46 time: 0.0400 data_time: 0.0041 memory: 672 2022/12/03 19:23:14 - mmengine - INFO - Epoch(val) [4][5300/6282] eta: 0:00:45 time: 0.0446 data_time: 0.0051 memory: 672 2022/12/03 19:23:15 - mmengine - INFO - Epoch(val) [4][5320/6282] eta: 0:00:44 time: 0.0448 data_time: 0.0068 memory: 674 2022/12/03 19:23:16 - mmengine - INFO - Epoch(val) [4][5340/6282] eta: 0:00:43 time: 0.0442 data_time: 0.0043 memory: 674 2022/12/03 19:23:16 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:00:42 time: 0.0415 data_time: 0.0052 memory: 674 2022/12/03 19:23:17 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:00:41 time: 0.0446 data_time: 0.0058 memory: 674 2022/12/03 19:23:18 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:00:40 time: 0.0413 data_time: 0.0043 memory: 674 2022/12/03 19:23:19 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:40 time: 0.0409 data_time: 0.0030 memory: 674 2022/12/03 19:23:20 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:39 time: 0.0407 data_time: 0.0060 memory: 674 2022/12/03 19:23:21 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:00:38 time: 0.0404 data_time: 0.0044 memory: 674 2022/12/03 19:23:21 - mmengine - INFO - Epoch(val) 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0:00:29 time: 0.0427 data_time: 0.0046 memory: 674 2022/12/03 19:23:29 - mmengine - INFO - Epoch(val) [4][5660/6282] eta: 0:00:28 time: 0.0406 data_time: 0.0033 memory: 674 2022/12/03 19:23:30 - mmengine - INFO - Epoch(val) [4][5680/6282] eta: 0:00:27 time: 0.0407 data_time: 0.0053 memory: 674 2022/12/03 19:23:31 - mmengine - INFO - Epoch(val) [4][5700/6282] eta: 0:00:26 time: 0.0436 data_time: 0.0053 memory: 674 2022/12/03 19:23:32 - mmengine - INFO - Epoch(val) [4][5720/6282] eta: 0:00:25 time: 0.0442 data_time: 0.0067 memory: 707 2022/12/03 19:23:33 - mmengine - INFO - Epoch(val) [4][5740/6282] eta: 0:00:25 time: 0.0503 data_time: 0.0075 memory: 707 2022/12/03 19:23:34 - mmengine - INFO - Epoch(val) [4][5760/6282] eta: 0:00:24 time: 0.0466 data_time: 0.0056 memory: 707 2022/12/03 19:23:35 - mmengine - INFO - Epoch(val) [4][5780/6282] eta: 0:00:23 time: 0.0438 data_time: 0.0039 memory: 707 2022/12/03 19:23:35 - mmengine - INFO - Epoch(val) [4][5800/6282] eta: 0:00:22 time: 0.0433 data_time: 0.0053 memory: 707 2022/12/03 19:23:36 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:21 time: 0.0421 data_time: 0.0054 memory: 707 2022/12/03 19:23:37 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:20 time: 0.0391 data_time: 0.0051 memory: 694 2022/12/03 19:23:38 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:19 time: 0.0419 data_time: 0.0041 memory: 694 2022/12/03 19:23:39 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:18 time: 0.0394 data_time: 0.0048 memory: 694 2022/12/03 19:23:39 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:17 time: 0.0366 data_time: 0.0046 memory: 694 2022/12/03 19:23:40 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:16 time: 0.0323 data_time: 0.0028 memory: 694 2022/12/03 19:23:41 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:15 time: 0.0287 data_time: 0.0018 memory: 674 2022/12/03 19:23:41 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:14 time: 0.0280 data_time: 0.0018 memory: 674 2022/12/03 19:23:42 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:13 time: 0.0285 data_time: 0.0018 memory: 674 2022/12/03 19:23:42 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:12 time: 0.0324 data_time: 0.0019 memory: 732 2022/12/03 19:23:43 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:12 time: 0.0339 data_time: 0.0019 memory: 732 2022/12/03 19:23:44 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:11 time: 0.0338 data_time: 0.0020 memory: 732 2022/12/03 19:23:44 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:10 time: 0.0334 data_time: 0.0019 memory: 732 2022/12/03 19:23:45 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:09 time: 0.0339 data_time: 0.0020 memory: 732 2022/12/03 19:23:46 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:08 time: 0.0344 data_time: 0.0020 memory: 732 2022/12/03 19:23:46 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:07 time: 0.0330 data_time: 0.0018 memory: 732 2022/12/03 19:23:47 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:06 time: 0.0336 data_time: 0.0019 memory: 732 2022/12/03 19:23:48 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:05 time: 0.0335 data_time: 0.0018 memory: 732 2022/12/03 19:23:48 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:04 time: 0.0332 data_time: 0.0017 memory: 732 2022/12/03 19:23:49 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:03 time: 0.0330 data_time: 0.0016 memory: 732 2022/12/03 19:23:50 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:02 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 19:23:50 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:01 time: 0.0322 data_time: 0.0015 memory: 732 2022/12/03 19:23:51 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:00 time: 0.0322 data_time: 0.0014 memory: 732 2022/12/03 19:23:52 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0321 data_time: 0.0014 memory: 732 2022/12/03 19:28:06 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.2759 2022/12/03 19:28:06 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2022/12/03 19:28:08 - mmengine - INFO - The best checkpoint with 0.2759 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2022/12/03 19:28:15 - mmengine - INFO - Epoch(train) [5][ 20/4451] lr: 8.5296e-02 eta: 2:22:27 time: 0.3445 data_time: 0.0338 memory: 8510 grad_norm: 0.1523 loss: 0.0419 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8542 recall@top3: 0.8958 prec@top3: 0.7292 recall@top5: 0.9583 prec@top5: 0.4750 loss_action_cls: 0.0419 2022/12/03 19:28:22 - mmengine - INFO - Epoch(train) [5][ 40/4451] lr: 8.5233e-02 eta: 2:22:21 time: 0.3189 data_time: 0.0097 memory: 8510 grad_norm: 0.1556 loss: 0.0424 recall@thr=0.5: 0.4603 prec@thr=0.5: 0.6349 recall@top3: 0.5952 prec@top3: 0.5238 recall@top5: 0.7937 prec@top5: 0.4286 loss_action_cls: 0.0424 2022/12/03 19:28:28 - mmengine - INFO - Epoch(train) [5][ 60/4451] lr: 8.5171e-02 eta: 2:22:14 time: 0.3177 data_time: 0.0102 memory: 8510 grad_norm: 0.1507 loss: 0.0437 recall@thr=0.5: 0.8854 prec@thr=0.5: 0.9167 recall@top3: 0.9688 prec@top3: 0.7500 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0437 2022/12/03 19:28:34 - mmengine - INFO - Epoch(train) [5][ 80/4451] lr: 8.5108e-02 eta: 2:22:08 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1537 loss: 0.0482 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6250 recall@top3: 0.6429 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0482 2022/12/03 19:28:41 - mmengine - INFO - Epoch(train) [5][ 100/4451] lr: 8.5045e-02 eta: 2:22:01 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1549 loss: 0.0448 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6667 recall@top3: 0.9216 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0448 2022/12/03 19:28:47 - mmengine - INFO - Epoch(train) [5][ 120/4451] lr: 8.4982e-02 eta: 2:21:55 time: 0.3208 data_time: 0.0106 memory: 8510 grad_norm: 0.1542 loss: 0.0452 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.6993 recall@top3: 0.8732 prec@top3: 0.7101 recall@top5: 0.9638 prec@top5: 0.4870 loss_action_cls: 0.0452 2022/12/03 19:28:54 - mmengine - INFO - Epoch(train) [5][ 140/4451] lr: 8.4919e-02 eta: 2:21:48 time: 0.3189 data_time: 0.0101 memory: 8510 grad_norm: 0.1546 loss: 0.0462 recall@thr=0.5: 0.8086 prec@thr=0.5: 0.7654 recall@top3: 0.7654 prec@top3: 0.7531 recall@top5: 0.9259 prec@top5: 0.5556 loss_action_cls: 0.0462 2022/12/03 19:29:00 - mmengine - INFO - Epoch(train) [5][ 160/4451] lr: 8.4856e-02 eta: 2:21:42 time: 0.3180 data_time: 0.0105 memory: 8510 grad_norm: 0.1582 loss: 0.0406 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7833 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.9208 prec@top5: 0.4600 loss_action_cls: 0.0406 2022/12/03 19:29:06 - mmengine - INFO - Epoch(train) [5][ 180/4451] lr: 8.4793e-02 eta: 2:21:35 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1513 loss: 0.0413 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.8025 recall@top3: 0.8981 prec@top3: 0.7654 recall@top5: 0.9722 prec@top5: 0.5037 loss_action_cls: 0.0413 2022/12/03 19:29:12 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:29:13 - mmengine - INFO - Epoch(train) [5][ 200/4451] lr: 8.4729e-02 eta: 2:21:29 time: 0.3196 data_time: 0.0098 memory: 8510 grad_norm: 0.1603 loss: 0.0459 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7063 recall@top3: 0.7143 prec@top3: 0.6667 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0459 2022/12/03 19:29:19 - mmengine - INFO - Epoch(train) [5][ 220/4451] lr: 8.4666e-02 eta: 2:21:23 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1610 loss: 0.0440 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.7879 recall@top3: 0.7045 prec@top3: 0.6515 recall@top5: 0.8636 prec@top5: 0.4727 loss_action_cls: 0.0440 2022/12/03 19:29:26 - mmengine - INFO - Epoch(train) [5][ 240/4451] lr: 8.4602e-02 eta: 2:21:16 time: 0.3189 data_time: 0.0101 memory: 8510 grad_norm: 0.1549 loss: 0.0486 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7121 recall@top3: 0.7424 prec@top3: 0.5303 recall@top5: 0.8333 prec@top5: 0.3636 loss_action_cls: 0.0486 2022/12/03 19:29:32 - mmengine - INFO - Epoch(train) [5][ 260/4451] lr: 8.4538e-02 eta: 2:21:10 time: 0.3202 data_time: 0.0096 memory: 8510 grad_norm: 0.1512 loss: 0.0443 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7708 recall@top3: 0.7440 prec@top3: 0.7262 recall@top5: 0.9286 prec@top5: 0.5286 loss_action_cls: 0.0443 2022/12/03 19:29:38 - mmengine - INFO - Epoch(train) [5][ 280/4451] lr: 8.4474e-02 eta: 2:21:03 time: 0.3200 data_time: 0.0106 memory: 8510 grad_norm: 0.1577 loss: 0.0443 recall@thr=0.5: 0.5617 prec@thr=0.5: 0.6265 recall@top3: 0.7716 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.4148 loss_action_cls: 0.0443 2022/12/03 19:29:45 - mmengine - INFO - Epoch(train) [5][ 300/4451] lr: 8.4410e-02 eta: 2:20:57 time: 0.3194 data_time: 0.0092 memory: 8510 grad_norm: 0.1587 loss: 0.0453 recall@thr=0.5: 0.3974 prec@thr=0.5: 0.7308 recall@top3: 0.7051 prec@top3: 0.5897 recall@top5: 0.7949 prec@top5: 0.4000 loss_action_cls: 0.0453 2022/12/03 19:29:51 - mmengine - INFO - Epoch(train) [5][ 320/4451] lr: 8.4346e-02 eta: 2:20:51 time: 0.3210 data_time: 0.0109 memory: 8510 grad_norm: 0.1528 loss: 0.0429 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.6700 recall@top3: 0.7733 prec@top3: 0.6133 recall@top5: 0.9800 prec@top5: 0.4960 loss_action_cls: 0.0429 2022/12/03 19:29:58 - mmengine - INFO - Epoch(train) [5][ 340/4451] lr: 8.4282e-02 eta: 2:20:44 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.1511 loss: 0.0467 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9208 recall@top3: 0.8646 prec@top3: 0.7361 recall@top5: 0.9792 prec@top5: 0.5333 loss_action_cls: 0.0467 2022/12/03 19:30:04 - mmengine - INFO - Epoch(train) [5][ 360/4451] lr: 8.4218e-02 eta: 2:20:38 time: 0.3206 data_time: 0.0110 memory: 8510 grad_norm: 0.1562 loss: 0.0447 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.7121 recall@top3: 0.8220 prec@top3: 0.6364 recall@top5: 0.9318 prec@top5: 0.4364 loss_action_cls: 0.0447 2022/12/03 19:30:10 - mmengine - INFO - Epoch(train) [5][ 380/4451] lr: 8.4154e-02 eta: 2:20:31 time: 0.3188 data_time: 0.0099 memory: 8510 grad_norm: 0.1539 loss: 0.0472 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.6742 recall@top3: 0.7689 prec@top3: 0.5606 recall@top5: 0.8788 prec@top5: 0.4000 loss_action_cls: 0.0472 2022/12/03 19:30:17 - mmengine - INFO - Epoch(train) [5][ 400/4451] lr: 8.4089e-02 eta: 2:20:25 time: 0.3192 data_time: 0.0100 memory: 8510 grad_norm: 0.1626 loss: 0.0479 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.6917 recall@top3: 0.7433 prec@top3: 0.6667 recall@top5: 0.8967 prec@top5: 0.5000 loss_action_cls: 0.0479 2022/12/03 19:30:23 - mmengine - INFO - Epoch(train) [5][ 420/4451] lr: 8.4024e-02 eta: 2:20:18 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.1620 loss: 0.0494 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.6736 recall@top3: 0.7222 prec@top3: 0.5833 recall@top5: 0.8438 prec@top5: 0.4333 loss_action_cls: 0.0494 2022/12/03 19:30:30 - mmengine - INFO - Epoch(train) [5][ 440/4451] lr: 8.3960e-02 eta: 2:20:12 time: 0.3218 data_time: 0.0100 memory: 8510 grad_norm: 0.1577 loss: 0.0445 recall@thr=0.5: 0.3646 prec@thr=0.5: 0.5937 recall@top3: 0.8125 prec@top3: 0.5417 recall@top5: 0.9271 prec@top5: 0.3625 loss_action_cls: 0.0445 2022/12/03 19:30:36 - mmengine - INFO - Epoch(train) [5][ 460/4451] lr: 8.3895e-02 eta: 2:20:06 time: 0.3197 data_time: 0.0099 memory: 8510 grad_norm: 0.1576 loss: 0.0442 recall@thr=0.5: 0.6383 prec@thr=0.5: 0.7500 recall@top3: 0.8050 prec@top3: 0.6167 recall@top5: 0.9400 prec@top5: 0.4400 loss_action_cls: 0.0442 2022/12/03 19:30:42 - mmengine - INFO - Epoch(train) [5][ 480/4451] lr: 8.3830e-02 eta: 2:19:59 time: 0.3197 data_time: 0.0099 memory: 8510 grad_norm: 0.1662 loss: 0.0416 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7941 recall@top3: 0.9314 prec@top3: 0.5882 recall@top5: 0.9608 prec@top5: 0.3647 loss_action_cls: 0.0416 2022/12/03 19:30:49 - mmengine - INFO - Epoch(train) [5][ 500/4451] lr: 8.3765e-02 eta: 2:19:53 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1545 loss: 0.0437 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6894 recall@top3: 0.6364 prec@top3: 0.4545 recall@top5: 0.8409 prec@top5: 0.3545 loss_action_cls: 0.0437 2022/12/03 19:30:55 - mmengine - INFO - Epoch(train) [5][ 520/4451] lr: 8.3700e-02 eta: 2:19:46 time: 0.3193 data_time: 0.0102 memory: 8510 grad_norm: 0.1698 loss: 0.0479 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.6061 recall@top3: 0.8561 prec@top3: 0.6515 recall@top5: 0.9015 prec@top5: 0.4273 loss_action_cls: 0.0479 2022/12/03 19:31:02 - mmengine - INFO - Epoch(train) [5][ 540/4451] lr: 8.3635e-02 eta: 2:19:40 time: 0.3195 data_time: 0.0102 memory: 8510 grad_norm: 0.1744 loss: 0.0473 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7731 recall@top3: 0.7083 prec@top3: 0.5741 recall@top5: 0.8704 prec@top5: 0.4333 loss_action_cls: 0.0473 2022/12/03 19:31:08 - mmengine - INFO - Epoch(train) [5][ 560/4451] lr: 8.3569e-02 eta: 2:19:34 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1534 loss: 0.0507 recall@thr=0.5: 0.8208 prec@thr=0.5: 0.8833 recall@top3: 0.8167 prec@top3: 0.7833 recall@top5: 0.9750 prec@top5: 0.5800 loss_action_cls: 0.0507 2022/12/03 19:31:14 - mmengine - INFO - Epoch(train) [5][ 580/4451] lr: 8.3504e-02 eta: 2:19:27 time: 0.3209 data_time: 0.0097 memory: 8510 grad_norm: 0.1555 loss: 0.0416 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.8070 recall@top3: 0.7675 prec@top3: 0.5965 recall@top5: 0.8947 prec@top5: 0.4316 loss_action_cls: 0.0416 2022/12/03 19:31:21 - mmengine - INFO - Epoch(train) [5][ 600/4451] lr: 8.3438e-02 eta: 2:19:21 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1561 loss: 0.0471 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5917 recall@top3: 0.7417 prec@top3: 0.6500 recall@top5: 0.9417 prec@top5: 0.5300 loss_action_cls: 0.0471 2022/12/03 19:31:27 - mmengine - INFO - Epoch(train) [5][ 620/4451] lr: 8.3373e-02 eta: 2:19:14 time: 0.3183 data_time: 0.0109 memory: 8510 grad_norm: 0.1592 loss: 0.0448 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.8417 recall@top3: 0.8889 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0448 2022/12/03 19:31:34 - mmengine - INFO - Epoch(train) [5][ 640/4451] lr: 8.3307e-02 eta: 2:19:08 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.1562 loss: 0.0452 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.4896 recall@top3: 0.5052 prec@top3: 0.4375 recall@top5: 0.8542 prec@top5: 0.4250 loss_action_cls: 0.0452 2022/12/03 19:31:40 - mmengine - INFO - Epoch(train) [5][ 660/4451] lr: 8.3241e-02 eta: 2:19:01 time: 0.3198 data_time: 0.0099 memory: 8510 grad_norm: 0.1573 loss: 0.0439 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7083 recall@top3: 0.8750 prec@top3: 0.6250 recall@top5: 0.8750 prec@top5: 0.3750 loss_action_cls: 0.0439 2022/12/03 19:31:46 - mmengine - INFO - Epoch(train) [5][ 680/4451] lr: 8.3175e-02 eta: 2:18:55 time: 0.3197 data_time: 0.0096 memory: 8510 grad_norm: 0.1543 loss: 0.0442 recall@thr=0.5: 0.5245 prec@thr=0.5: 0.7108 recall@top3: 0.5784 prec@top3: 0.4902 recall@top5: 0.7696 prec@top5: 0.3882 loss_action_cls: 0.0442 2022/12/03 19:31:53 - mmengine - INFO - Epoch(train) [5][ 700/4451] lr: 8.3109e-02 eta: 2:18:49 time: 0.3213 data_time: 0.0109 memory: 8510 grad_norm: 0.1652 loss: 0.0443 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.5937 recall@top3: 0.7292 prec@top3: 0.6667 recall@top5: 0.8583 prec@top5: 0.5125 loss_action_cls: 0.0443 2022/12/03 19:31:59 - mmengine - INFO - Epoch(train) [5][ 720/4451] lr: 8.3043e-02 eta: 2:18:42 time: 0.3199 data_time: 0.0099 memory: 8510 grad_norm: 0.1585 loss: 0.0505 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5476 recall@top3: 0.7302 prec@top3: 0.5556 recall@top5: 0.8095 prec@top5: 0.3714 loss_action_cls: 0.0505 2022/12/03 19:32:06 - mmengine - INFO - Epoch(train) [5][ 740/4451] lr: 8.2977e-02 eta: 2:18:36 time: 0.3214 data_time: 0.0107 memory: 8510 grad_norm: 0.1569 loss: 0.0440 recall@thr=0.5: 0.4702 prec@thr=0.5: 0.5327 recall@top3: 0.6667 prec@top3: 0.4286 recall@top5: 0.8095 prec@top5: 0.3214 loss_action_cls: 0.0440 2022/12/03 19:32:12 - mmengine - INFO - Epoch(train) [5][ 760/4451] lr: 8.2910e-02 eta: 2:18:29 time: 0.3196 data_time: 0.0096 memory: 8510 grad_norm: 0.1653 loss: 0.0436 recall@thr=0.5: 0.6367 prec@thr=0.5: 0.6400 recall@top3: 0.7367 prec@top3: 0.5600 recall@top5: 0.8567 prec@top5: 0.4000 loss_action_cls: 0.0436 2022/12/03 19:32:18 - mmengine - INFO - Epoch(train) [5][ 780/4451] lr: 8.2844e-02 eta: 2:18:23 time: 0.3208 data_time: 0.0112 memory: 8510 grad_norm: 0.1555 loss: 0.0506 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8889 recall@top3: 0.8770 prec@top3: 0.7143 recall@top5: 0.9683 prec@top5: 0.4857 loss_action_cls: 0.0506 2022/12/03 19:32:25 - mmengine - INFO - Epoch(train) [5][ 800/4451] lr: 8.2777e-02 eta: 2:18:17 time: 0.3195 data_time: 0.0099 memory: 8510 grad_norm: 0.1603 loss: 0.0467 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.5333 recall@top3: 0.7500 prec@top3: 0.4833 recall@top5: 0.8000 prec@top5: 0.3000 loss_action_cls: 0.0467 2022/12/03 19:32:31 - mmengine - INFO - Epoch(train) [5][ 820/4451] lr: 8.2711e-02 eta: 2:18:10 time: 0.3216 data_time: 0.0115 memory: 8510 grad_norm: 0.1563 loss: 0.0452 recall@thr=0.5: 0.3854 prec@thr=0.5: 0.5990 recall@top3: 0.6875 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.4250 loss_action_cls: 0.0452 2022/12/03 19:32:38 - mmengine - INFO - Epoch(train) [5][ 840/4451] lr: 8.2644e-02 eta: 2:18:04 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.1709 loss: 0.0426 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.7556 recall@top3: 0.8444 prec@top3: 0.5111 recall@top5: 0.9111 prec@top5: 0.3467 loss_action_cls: 0.0426 2022/12/03 19:32:44 - mmengine - INFO - Epoch(train) [5][ 860/4451] lr: 8.2577e-02 eta: 2:17:57 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1515 loss: 0.0440 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7014 recall@top3: 0.7847 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5583 loss_action_cls: 0.0440 2022/12/03 19:32:51 - mmengine - INFO - Epoch(train) [5][ 880/4451] lr: 8.2510e-02 eta: 2:17:51 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1565 loss: 0.0465 recall@thr=0.5: 0.4783 prec@thr=0.5: 0.6014 recall@top3: 0.7159 prec@top3: 0.6232 recall@top5: 0.8565 prec@top5: 0.4609 loss_action_cls: 0.0465 2022/12/03 19:32:57 - mmengine - INFO - Epoch(train) [5][ 900/4451] lr: 8.2443e-02 eta: 2:17:45 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1552 loss: 0.0508 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.8278 recall@top3: 0.7822 prec@top3: 0.4444 recall@top5: 0.7956 prec@top5: 0.2800 loss_action_cls: 0.0508 2022/12/03 19:33:03 - mmengine - INFO - Epoch(train) [5][ 920/4451] lr: 8.2376e-02 eta: 2:17:38 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1571 loss: 0.0493 recall@thr=0.5: 0.3816 prec@thr=0.5: 0.4912 recall@top3: 0.6974 prec@top3: 0.4912 recall@top5: 0.7544 prec@top5: 0.3368 loss_action_cls: 0.0493 2022/12/03 19:33:10 - mmengine - INFO - Epoch(train) [5][ 940/4451] lr: 8.2308e-02 eta: 2:17:32 time: 0.3187 data_time: 0.0096 memory: 8510 grad_norm: 0.1620 loss: 0.0411 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.6125 recall@top3: 0.9062 prec@top3: 0.5417 recall@top5: 0.9375 prec@top5: 0.3500 loss_action_cls: 0.0411 2022/12/03 19:33:16 - mmengine - INFO - Epoch(train) [5][ 960/4451] lr: 8.2241e-02 eta: 2:17:25 time: 0.3203 data_time: 0.0098 memory: 8510 grad_norm: 0.1578 loss: 0.0439 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6574 recall@top3: 0.8519 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0439 2022/12/03 19:33:23 - mmengine - INFO - Epoch(train) [5][ 980/4451] lr: 8.2174e-02 eta: 2:17:19 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1611 loss: 0.0511 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.7000 recall@top3: 0.7500 prec@top3: 0.5500 recall@top5: 0.9583 prec@top5: 0.4200 loss_action_cls: 0.0511 2022/12/03 19:33:29 - mmengine - INFO - Epoch(train) [5][1000/4451] lr: 8.2106e-02 eta: 2:17:13 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1586 loss: 0.0408 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7269 recall@top3: 0.8981 prec@top3: 0.7222 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0408 2022/12/03 19:33:35 - mmengine - INFO - Epoch(train) [5][1020/4451] lr: 8.2038e-02 eta: 2:17:06 time: 0.3211 data_time: 0.0097 memory: 8510 grad_norm: 0.1600 loss: 0.0443 recall@thr=0.5: 0.5627 prec@thr=0.5: 0.6961 recall@top3: 0.6706 prec@top3: 0.4902 recall@top5: 0.7765 prec@top5: 0.3647 loss_action_cls: 0.0443 2022/12/03 19:33:42 - mmengine - INFO - Epoch(train) [5][1040/4451] lr: 8.1970e-02 eta: 2:17:00 time: 0.3201 data_time: 0.0114 memory: 8510 grad_norm: 0.1594 loss: 0.0465 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.6410 recall@top3: 0.8878 prec@top3: 0.7051 recall@top5: 0.9776 prec@top5: 0.4769 loss_action_cls: 0.0465 2022/12/03 19:33:48 - mmengine - INFO - Epoch(train) [5][1060/4451] lr: 8.1903e-02 eta: 2:16:53 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1615 loss: 0.0453 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.7922 recall@top3: 0.7656 prec@top3: 0.6771 recall@top5: 0.8672 prec@top5: 0.4687 loss_action_cls: 0.0453 2022/12/03 19:33:55 - mmengine - INFO - Epoch(train) [5][1080/4451] lr: 8.1835e-02 eta: 2:16:47 time: 0.3217 data_time: 0.0102 memory: 8510 grad_norm: 0.1562 loss: 0.0410 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.7569 recall@top3: 0.9028 prec@top3: 0.5278 recall@top5: 0.9583 prec@top5: 0.3500 loss_action_cls: 0.0410 2022/12/03 19:34:01 - mmengine - INFO - Epoch(train) [5][1100/4451] lr: 8.1767e-02 eta: 2:16:41 time: 0.3193 data_time: 0.0103 memory: 8510 grad_norm: 0.1688 loss: 0.0446 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6458 recall@top3: 0.7361 prec@top3: 0.5139 recall@top5: 0.8472 prec@top5: 0.3750 loss_action_cls: 0.0446 2022/12/03 19:34:07 - mmengine - INFO - Epoch(train) [5][1120/4451] lr: 8.1698e-02 eta: 2:16:34 time: 0.3211 data_time: 0.0099 memory: 8510 grad_norm: 0.1603 loss: 0.0472 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6250 recall@top3: 0.8333 prec@top3: 0.4444 recall@top5: 0.8750 prec@top5: 0.2833 loss_action_cls: 0.0472 2022/12/03 19:34:14 - mmengine - INFO - Epoch(train) [5][1140/4451] lr: 8.1630e-02 eta: 2:16:28 time: 0.3210 data_time: 0.0118 memory: 8510 grad_norm: 0.1618 loss: 0.0444 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7361 recall@top3: 0.8889 prec@top3: 0.5741 recall@top5: 0.9167 prec@top5: 0.3667 loss_action_cls: 0.0444 2022/12/03 19:34:20 - mmengine - INFO - Epoch(train) [5][1160/4451] lr: 8.1562e-02 eta: 2:16:21 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1531 loss: 0.0457 recall@thr=0.5: 0.6465 prec@thr=0.5: 0.4949 recall@top3: 0.7727 prec@top3: 0.4747 recall@top5: 0.9697 prec@top5: 0.3697 loss_action_cls: 0.0457 2022/12/03 19:34:27 - mmengine - INFO - Epoch(train) [5][1180/4451] lr: 8.1493e-02 eta: 2:16:15 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1596 loss: 0.0450 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7812 recall@top3: 0.8750 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0450 2022/12/03 19:34:32 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:34:33 - mmengine - INFO - Epoch(train) [5][1200/4451] lr: 8.1425e-02 eta: 2:16:09 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1493 loss: 0.0500 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.4861 recall@top3: 0.6458 prec@top3: 0.4722 recall@top5: 0.9132 prec@top5: 0.4083 loss_action_cls: 0.0500 2022/12/03 19:34:39 - mmengine - INFO - Epoch(train) [5][1220/4451] lr: 8.1356e-02 eta: 2:16:02 time: 0.3210 data_time: 0.0097 memory: 8510 grad_norm: 0.1603 loss: 0.0466 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5714 recall@top3: 0.8254 prec@top3: 0.5079 recall@top5: 0.9444 prec@top5: 0.3619 loss_action_cls: 0.0466 2022/12/03 19:34:46 - mmengine - INFO - Epoch(train) [5][1240/4451] lr: 8.1287e-02 eta: 2:15:56 time: 0.3200 data_time: 0.0105 memory: 8510 grad_norm: 0.1501 loss: 0.0412 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.7564 recall@top3: 0.8462 prec@top3: 0.7308 recall@top5: 0.8910 prec@top5: 0.4692 loss_action_cls: 0.0412 2022/12/03 19:34:52 - mmengine - INFO - Epoch(train) [5][1260/4451] lr: 8.1218e-02 eta: 2:15:49 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1595 loss: 0.0484 recall@thr=0.5: 0.5441 prec@thr=0.5: 0.7402 recall@top3: 0.8480 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.4294 loss_action_cls: 0.0484 2022/12/03 19:34:59 - mmengine - INFO - Epoch(train) [5][1280/4451] lr: 8.1149e-02 eta: 2:15:43 time: 0.3212 data_time: 0.0099 memory: 8510 grad_norm: 0.1622 loss: 0.0419 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6875 recall@top3: 0.9375 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0419 2022/12/03 19:35:05 - mmengine - INFO - Epoch(train) [5][1300/4451] lr: 8.1080e-02 eta: 2:15:37 time: 0.3211 data_time: 0.0114 memory: 8510 grad_norm: 0.1553 loss: 0.0463 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7424 recall@top3: 0.8258 prec@top3: 0.5455 recall@top5: 0.8561 prec@top5: 0.3455 loss_action_cls: 0.0463 2022/12/03 19:35:12 - mmengine - INFO - Epoch(train) [5][1320/4451] lr: 8.1011e-02 eta: 2:15:30 time: 0.3205 data_time: 0.0105 memory: 8510 grad_norm: 0.1684 loss: 0.0463 recall@thr=0.5: 0.5040 prec@thr=0.5: 0.7500 recall@top3: 0.7103 prec@top3: 0.6349 recall@top5: 0.9048 prec@top5: 0.4857 loss_action_cls: 0.0463 2022/12/03 19:35:18 - mmengine - INFO - Epoch(train) [5][1340/4451] lr: 8.0942e-02 eta: 2:15:24 time: 0.3216 data_time: 0.0101 memory: 8510 grad_norm: 0.1558 loss: 0.0436 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6429 recall@top3: 0.7698 prec@top3: 0.5556 recall@top5: 0.8452 prec@top5: 0.3810 loss_action_cls: 0.0436 2022/12/03 19:35:24 - mmengine - INFO - Epoch(train) [5][1360/4451] lr: 8.0873e-02 eta: 2:15:17 time: 0.3207 data_time: 0.0112 memory: 8510 grad_norm: 0.1631 loss: 0.0469 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7193 recall@top3: 0.8421 prec@top3: 0.6140 recall@top5: 0.9561 prec@top5: 0.4316 loss_action_cls: 0.0469 2022/12/03 19:35:31 - mmengine - INFO - Epoch(train) [5][1380/4451] lr: 8.0803e-02 eta: 2:15:11 time: 0.3194 data_time: 0.0102 memory: 8510 grad_norm: 0.1610 loss: 0.0494 recall@thr=0.5: 0.5288 prec@thr=0.5: 0.6410 recall@top3: 0.7340 prec@top3: 0.5769 recall@top5: 0.8045 prec@top5: 0.3923 loss_action_cls: 0.0494 2022/12/03 19:35:37 - mmengine - INFO - Epoch(train) [5][1400/4451] lr: 8.0734e-02 eta: 2:15:05 time: 0.3194 data_time: 0.0103 memory: 8510 grad_norm: 0.1535 loss: 0.0486 recall@thr=0.5: 0.4860 prec@thr=0.5: 0.6842 recall@top3: 0.7368 prec@top3: 0.6140 recall@top5: 0.8526 prec@top5: 0.4632 loss_action_cls: 0.0486 2022/12/03 19:35:44 - mmengine - INFO - Epoch(train) [5][1420/4451] lr: 8.0664e-02 eta: 2:14:58 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.1581 loss: 0.0451 recall@thr=0.5: 0.5893 prec@thr=0.5: 0.6280 recall@top3: 0.8006 prec@top3: 0.7024 recall@top5: 0.9405 prec@top5: 0.5071 loss_action_cls: 0.0451 2022/12/03 19:35:50 - mmengine - INFO - Epoch(train) [5][1440/4451] lr: 8.0594e-02 eta: 2:14:52 time: 0.3193 data_time: 0.0102 memory: 8510 grad_norm: 0.1592 loss: 0.0455 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.7500 recall@top3: 0.7826 prec@top3: 0.6667 recall@top5: 0.9565 prec@top5: 0.5043 loss_action_cls: 0.0455 2022/12/03 19:35:56 - mmengine - INFO - Epoch(train) [5][1460/4451] lr: 8.0524e-02 eta: 2:14:45 time: 0.3190 data_time: 0.0099 memory: 8510 grad_norm: 0.1571 loss: 0.0450 recall@thr=0.5: 0.7258 prec@thr=0.5: 0.8387 recall@top3: 0.8172 prec@top3: 0.6667 recall@top5: 0.9086 prec@top5: 0.4452 loss_action_cls: 0.0450 2022/12/03 19:36:03 - mmengine - INFO - Epoch(train) [5][1480/4451] lr: 8.0454e-02 eta: 2:14:39 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1497 loss: 0.0452 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.7083 recall@top3: 0.8512 prec@top3: 0.7738 recall@top5: 0.9196 prec@top5: 0.5071 loss_action_cls: 0.0452 2022/12/03 19:36:09 - mmengine - INFO - Epoch(train) [5][1500/4451] lr: 8.0384e-02 eta: 2:14:33 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1593 loss: 0.0457 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.6833 recall@top3: 0.7075 prec@top3: 0.6000 recall@top5: 0.8675 prec@top5: 0.4200 loss_action_cls: 0.0457 2022/12/03 19:36:16 - mmengine - INFO - Epoch(train) [5][1520/4451] lr: 8.0314e-02 eta: 2:14:26 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1562 loss: 0.0454 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.8383 recall@top3: 0.6900 prec@top3: 0.5667 recall@top5: 0.9133 prec@top5: 0.5100 loss_action_cls: 0.0454 2022/12/03 19:36:22 - mmengine - INFO - Epoch(train) [5][1540/4451] lr: 8.0244e-02 eta: 2:14:20 time: 0.3191 data_time: 0.0098 memory: 8510 grad_norm: 0.1636 loss: 0.0401 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8750 recall@top3: 0.9028 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0401 2022/12/03 19:36:28 - mmengine - INFO - Epoch(train) [5][1560/4451] lr: 8.0174e-02 eta: 2:14:13 time: 0.3199 data_time: 0.0110 memory: 8510 grad_norm: 0.1655 loss: 0.0463 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8083 recall@top3: 0.8833 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4300 loss_action_cls: 0.0463 2022/12/03 19:36:35 - mmengine - INFO - Epoch(train) [5][1580/4451] lr: 8.0103e-02 eta: 2:14:07 time: 0.3193 data_time: 0.0111 memory: 8510 grad_norm: 0.1615 loss: 0.0469 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6429 recall@top3: 0.6905 prec@top3: 0.4048 recall@top5: 0.8810 prec@top5: 0.3000 loss_action_cls: 0.0469 2022/12/03 19:36:41 - mmengine - INFO - Epoch(train) [5][1600/4451] lr: 8.0033e-02 eta: 2:14:00 time: 0.3188 data_time: 0.0099 memory: 8510 grad_norm: 0.1575 loss: 0.0447 recall@thr=0.5: 0.5875 prec@thr=0.5: 0.7500 recall@top3: 0.7917 prec@top3: 0.6333 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0447 2022/12/03 19:36:48 - mmengine - INFO - Epoch(train) [5][1620/4451] lr: 7.9962e-02 eta: 2:13:54 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1624 loss: 0.0414 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.8722 recall@top3: 0.8111 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5200 loss_action_cls: 0.0414 2022/12/03 19:36:54 - mmengine - INFO - Epoch(train) [5][1640/4451] lr: 7.9892e-02 eta: 2:13:48 time: 0.3213 data_time: 0.0120 memory: 8510 grad_norm: 0.1583 loss: 0.0413 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7647 recall@top3: 0.9216 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0413 2022/12/03 19:37:00 - mmengine - INFO - Epoch(train) [5][1660/4451] lr: 7.9821e-02 eta: 2:13:41 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1602 loss: 0.0467 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.6515 recall@top3: 0.8333 prec@top3: 0.7121 recall@top5: 0.9697 prec@top5: 0.5091 loss_action_cls: 0.0467 2022/12/03 19:37:07 - mmengine - INFO - Epoch(train) [5][1680/4451] lr: 7.9750e-02 eta: 2:13:35 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1647 loss: 0.0444 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.7193 recall@top3: 0.7202 prec@top3: 0.7193 recall@top5: 0.8930 prec@top5: 0.5368 loss_action_cls: 0.0444 2022/12/03 19:37:13 - mmengine - INFO - Epoch(train) [5][1700/4451] lr: 7.9679e-02 eta: 2:13:28 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1584 loss: 0.0475 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7024 recall@top3: 0.7381 prec@top3: 0.5238 recall@top5: 0.8690 prec@top5: 0.3857 loss_action_cls: 0.0475 2022/12/03 19:37:20 - mmengine - INFO - Epoch(train) [5][1720/4451] lr: 7.9608e-02 eta: 2:13:22 time: 0.3210 data_time: 0.0103 memory: 8510 grad_norm: 0.1580 loss: 0.0421 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.5417 recall@top3: 0.5903 prec@top3: 0.3889 recall@top5: 0.6319 prec@top5: 0.2500 loss_action_cls: 0.0421 2022/12/03 19:37:26 - mmengine - INFO - Epoch(train) [5][1740/4451] lr: 7.9537e-02 eta: 2:13:16 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1579 loss: 0.0414 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8833 recall@top3: 0.8778 prec@top3: 0.7333 recall@top5: 0.9778 prec@top5: 0.4933 loss_action_cls: 0.0414 2022/12/03 19:37:32 - mmengine - INFO - Epoch(train) [5][1760/4451] lr: 7.9466e-02 eta: 2:13:09 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1658 loss: 0.0512 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7685 recall@top3: 0.8056 prec@top3: 0.5370 recall@top5: 0.9167 prec@top5: 0.3556 loss_action_cls: 0.0512 2022/12/03 19:37:39 - mmengine - INFO - Epoch(train) [5][1780/4451] lr: 7.9394e-02 eta: 2:13:03 time: 0.3187 data_time: 0.0096 memory: 8510 grad_norm: 0.1604 loss: 0.0465 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.4773 recall@top3: 0.8712 prec@top3: 0.5455 recall@top5: 0.9545 prec@top5: 0.3727 loss_action_cls: 0.0465 2022/12/03 19:37:45 - mmengine - INFO - Epoch(train) [5][1800/4451] lr: 7.9323e-02 eta: 2:12:56 time: 0.3198 data_time: 0.0103 memory: 8510 grad_norm: 0.1617 loss: 0.0457 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.9286 recall@top3: 0.8929 prec@top3: 0.6429 recall@top5: 0.9524 prec@top5: 0.4143 loss_action_cls: 0.0457 2022/12/03 19:37:52 - mmengine - INFO - Epoch(train) [5][1820/4451] lr: 7.9251e-02 eta: 2:12:50 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.1509 loss: 0.0426 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6883 recall@top3: 0.7623 prec@top3: 0.6296 recall@top5: 0.9352 prec@top5: 0.4370 loss_action_cls: 0.0426 2022/12/03 19:37:58 - mmengine - INFO - Epoch(train) [5][1840/4451] lr: 7.9180e-02 eta: 2:12:43 time: 0.3199 data_time: 0.0102 memory: 8510 grad_norm: 0.1622 loss: 0.0472 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7273 recall@top3: 0.9091 prec@top3: 0.6515 recall@top5: 0.9394 prec@top5: 0.4091 loss_action_cls: 0.0472 2022/12/03 19:38:04 - mmengine - INFO - Epoch(train) [5][1860/4451] lr: 7.9108e-02 eta: 2:12:37 time: 0.3197 data_time: 0.0101 memory: 8510 grad_norm: 0.1623 loss: 0.0477 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6275 recall@top3: 0.7980 prec@top3: 0.5882 recall@top5: 0.9294 prec@top5: 0.4235 loss_action_cls: 0.0477 2022/12/03 19:38:11 - mmengine - INFO - Epoch(train) [5][1880/4451] lr: 7.9036e-02 eta: 2:12:31 time: 0.3204 data_time: 0.0107 memory: 8510 grad_norm: 0.1630 loss: 0.0477 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6667 recall@top3: 0.8426 prec@top3: 0.5926 recall@top5: 0.8796 prec@top5: 0.3778 loss_action_cls: 0.0477 2022/12/03 19:38:17 - mmengine - INFO - Epoch(train) [5][1900/4451] lr: 7.8964e-02 eta: 2:12:24 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1658 loss: 0.0399 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7176 recall@top3: 0.7685 prec@top3: 0.5926 recall@top5: 0.9630 prec@top5: 0.4667 loss_action_cls: 0.0399 2022/12/03 19:38:24 - mmengine - INFO - Epoch(train) [5][1920/4451] lr: 7.8892e-02 eta: 2:12:18 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1640 loss: 0.0471 recall@thr=0.5: 0.7206 prec@thr=0.5: 0.8431 recall@top3: 0.7892 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4824 loss_action_cls: 0.0471 2022/12/03 19:38:30 - mmengine - INFO - Epoch(train) [5][1940/4451] lr: 7.8820e-02 eta: 2:12:11 time: 0.3196 data_time: 0.0106 memory: 8510 grad_norm: 0.1675 loss: 0.0434 recall@thr=0.5: 0.6477 prec@thr=0.5: 0.7652 recall@top3: 0.8295 prec@top3: 0.6970 recall@top5: 0.9848 prec@top5: 0.5091 loss_action_cls: 0.0434 2022/12/03 19:38:36 - mmengine - INFO - Epoch(train) [5][1960/4451] lr: 7.8748e-02 eta: 2:12:05 time: 0.3197 data_time: 0.0101 memory: 8510 grad_norm: 0.1553 loss: 0.0461 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6667 recall@top3: 0.7333 prec@top3: 0.4833 recall@top5: 0.8500 prec@top5: 0.3700 loss_action_cls: 0.0461 2022/12/03 19:38:43 - mmengine - INFO - Epoch(train) [5][1980/4451] lr: 7.8676e-02 eta: 2:11:59 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1643 loss: 0.0495 recall@thr=0.5: 0.7655 prec@thr=0.5: 0.7966 recall@top3: 0.7960 prec@top3: 0.7241 recall@top5: 0.9776 prec@top5: 0.5655 loss_action_cls: 0.0495 2022/12/03 19:38:49 - mmengine - INFO - Epoch(train) [5][2000/4451] lr: 7.8604e-02 eta: 2:11:52 time: 0.3190 data_time: 0.0114 memory: 8510 grad_norm: 0.1593 loss: 0.0450 recall@thr=0.5: 0.4394 prec@thr=0.5: 0.5682 recall@top3: 0.8030 prec@top3: 0.6061 recall@top5: 0.9091 prec@top5: 0.4182 loss_action_cls: 0.0450 2022/12/03 19:38:56 - mmengine - INFO - Epoch(train) [5][2020/4451] lr: 7.8531e-02 eta: 2:11:46 time: 0.3205 data_time: 0.0110 memory: 8510 grad_norm: 0.1616 loss: 0.0446 recall@thr=0.5: 0.4965 prec@thr=0.5: 0.6389 recall@top3: 0.8090 prec@top3: 0.5972 recall@top5: 0.8785 prec@top5: 0.3917 loss_action_cls: 0.0446 2022/12/03 19:39:02 - mmengine - INFO - Epoch(train) [5][2040/4451] lr: 7.8459e-02 eta: 2:11:39 time: 0.3225 data_time: 0.0108 memory: 8510 grad_norm: 0.1616 loss: 0.0457 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.7500 recall@top3: 0.7465 prec@top3: 0.4861 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0457 2022/12/03 19:39:08 - mmengine - INFO - Epoch(train) [5][2060/4451] lr: 7.8386e-02 eta: 2:11:33 time: 0.3200 data_time: 0.0099 memory: 8510 grad_norm: 0.1601 loss: 0.0429 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.6692 recall@top3: 0.7551 prec@top3: 0.6465 recall@top5: 0.9697 prec@top5: 0.5212 loss_action_cls: 0.0429 2022/12/03 19:39:15 - mmengine - INFO - Epoch(train) [5][2080/4451] lr: 7.8314e-02 eta: 2:11:27 time: 0.3204 data_time: 0.0104 memory: 8510 grad_norm: 0.1567 loss: 0.0429 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.5556 recall@top3: 0.8333 prec@top3: 0.5278 recall@top5: 0.8750 prec@top5: 0.3333 loss_action_cls: 0.0429 2022/12/03 19:39:21 - mmengine - INFO - Epoch(train) [5][2100/4451] lr: 7.8241e-02 eta: 2:11:20 time: 0.3195 data_time: 0.0104 memory: 8510 grad_norm: 0.1575 loss: 0.0403 recall@thr=0.5: 0.6198 prec@thr=0.5: 0.6190 recall@top3: 0.9056 prec@top3: 0.6190 recall@top5: 0.9905 prec@top5: 0.4190 loss_action_cls: 0.0403 2022/12/03 19:39:28 - mmengine - INFO - Epoch(train) [5][2120/4451] lr: 7.8168e-02 eta: 2:11:14 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1612 loss: 0.0460 recall@thr=0.5: 0.6161 prec@thr=0.5: 0.6815 recall@top3: 0.7202 prec@top3: 0.5833 recall@top5: 0.9702 prec@top5: 0.4500 loss_action_cls: 0.0460 2022/12/03 19:39:34 - mmengine - INFO - Epoch(train) [5][2140/4451] lr: 7.8095e-02 eta: 2:11:07 time: 0.3214 data_time: 0.0104 memory: 8510 grad_norm: 0.1595 loss: 0.0466 recall@thr=0.5: 0.3519 prec@thr=0.5: 0.4241 recall@top3: 0.5972 prec@top3: 0.4444 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0466 2022/12/03 19:39:41 - mmengine - INFO - Epoch(train) [5][2160/4451] lr: 7.8022e-02 eta: 2:11:01 time: 0.3192 data_time: 0.0099 memory: 8510 grad_norm: 0.1624 loss: 0.0470 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8095 recall@top3: 0.8889 prec@top3: 0.6190 recall@top5: 0.9841 prec@top5: 0.4095 loss_action_cls: 0.0470 2022/12/03 19:39:47 - mmengine - INFO - Epoch(train) [5][2180/4451] lr: 7.7949e-02 eta: 2:10:55 time: 0.3198 data_time: 0.0099 memory: 8510 grad_norm: 0.1555 loss: 0.0455 recall@thr=0.5: 0.6023 prec@thr=0.5: 0.6424 recall@top3: 0.7091 prec@top3: 0.6212 recall@top5: 0.9318 prec@top5: 0.5182 loss_action_cls: 0.0455 2022/12/03 19:39:52 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:39:53 - mmengine - INFO - Epoch(train) [5][2200/4451] lr: 7.7876e-02 eta: 2:10:48 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1620 loss: 0.0420 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.7778 recall@top3: 0.7870 prec@top3: 0.6852 recall@top5: 0.8843 prec@top5: 0.4778 loss_action_cls: 0.0420 2022/12/03 19:40:00 - mmengine - INFO - Epoch(train) [5][2220/4451] lr: 7.7802e-02 eta: 2:10:42 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1619 loss: 0.0448 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8382 recall@top3: 0.9118 prec@top3: 0.6471 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0448 2022/12/03 19:40:06 - mmengine - INFO - Epoch(train) [5][2240/4451] lr: 7.7729e-02 eta: 2:10:35 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.1601 loss: 0.0433 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.7424 recall@top3: 0.7689 prec@top3: 0.7273 recall@top5: 0.9318 prec@top5: 0.5455 loss_action_cls: 0.0433 2022/12/03 19:40:13 - mmengine - INFO - Epoch(train) [5][2260/4451] lr: 7.7656e-02 eta: 2:10:29 time: 0.3202 data_time: 0.0104 memory: 8510 grad_norm: 0.1572 loss: 0.0464 recall@thr=0.5: 0.4813 prec@thr=0.5: 0.5486 recall@top3: 0.5479 prec@top3: 0.5972 recall@top5: 0.8153 prec@top5: 0.4833 loss_action_cls: 0.0464 2022/12/03 19:40:19 - mmengine - INFO - Epoch(train) [5][2280/4451] lr: 7.7582e-02 eta: 2:10:23 time: 0.3219 data_time: 0.0118 memory: 8510 grad_norm: 0.1557 loss: 0.0444 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7500 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0444 2022/12/03 19:40:25 - mmengine - INFO - Epoch(train) [5][2300/4451] lr: 7.7508e-02 eta: 2:10:16 time: 0.3221 data_time: 0.0100 memory: 8510 grad_norm: 0.1618 loss: 0.0471 recall@thr=0.5: 0.4725 prec@thr=0.5: 0.5833 recall@top3: 0.6975 prec@top3: 0.5500 recall@top5: 0.8258 prec@top5: 0.4100 loss_action_cls: 0.0471 2022/12/03 19:40:32 - mmengine - INFO - Epoch(train) [5][2320/4451] lr: 7.7435e-02 eta: 2:10:10 time: 0.3211 data_time: 0.0102 memory: 8510 grad_norm: 0.1593 loss: 0.0480 recall@thr=0.5: 0.5849 prec@thr=0.5: 0.6746 recall@top3: 0.8302 prec@top3: 0.7143 recall@top5: 0.9230 prec@top5: 0.4952 loss_action_cls: 0.0480 2022/12/03 19:40:38 - mmengine - INFO - Epoch(train) [5][2340/4451] lr: 7.7361e-02 eta: 2:10:03 time: 0.3197 data_time: 0.0101 memory: 8510 grad_norm: 0.1673 loss: 0.0455 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.8241 recall@top3: 0.7963 prec@top3: 0.7037 recall@top5: 0.9861 prec@top5: 0.5333 loss_action_cls: 0.0455 2022/12/03 19:40:45 - mmengine - INFO - Epoch(train) [5][2360/4451] lr: 7.7287e-02 eta: 2:09:57 time: 0.3211 data_time: 0.0098 memory: 8510 grad_norm: 0.1639 loss: 0.0452 recall@thr=0.5: 0.4410 prec@thr=0.5: 0.4861 recall@top3: 0.6632 prec@top3: 0.5417 recall@top5: 0.7014 prec@top5: 0.3500 loss_action_cls: 0.0452 2022/12/03 19:40:51 - mmengine - INFO - Epoch(train) [5][2380/4451] lr: 7.7213e-02 eta: 2:09:51 time: 0.3200 data_time: 0.0100 memory: 8510 grad_norm: 0.1587 loss: 0.0439 recall@thr=0.5: 0.5507 prec@thr=0.5: 0.5797 recall@top3: 0.6449 prec@top3: 0.5652 recall@top5: 0.9348 prec@top5: 0.4870 loss_action_cls: 0.0439 2022/12/03 19:40:58 - mmengine - INFO - Epoch(train) [5][2400/4451] lr: 7.7139e-02 eta: 2:09:44 time: 0.3213 data_time: 0.0102 memory: 8510 grad_norm: 0.1638 loss: 0.0443 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.7143 recall@top3: 0.7460 prec@top3: 0.5397 recall@top5: 0.9127 prec@top5: 0.3905 loss_action_cls: 0.0443 2022/12/03 19:41:04 - mmengine - INFO - Epoch(train) [5][2420/4451] lr: 7.7065e-02 eta: 2:09:38 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1588 loss: 0.0426 recall@thr=0.5: 0.8086 prec@thr=0.5: 0.8660 recall@top3: 0.8364 prec@top3: 0.8148 recall@top5: 0.9907 prec@top5: 0.6000 loss_action_cls: 0.0426 2022/12/03 19:41:10 - mmengine - INFO - Epoch(train) [5][2440/4451] lr: 7.6991e-02 eta: 2:09:31 time: 0.3195 data_time: 0.0097 memory: 8510 grad_norm: 0.1621 loss: 0.0454 recall@thr=0.5: 0.4472 prec@thr=0.5: 0.6056 recall@top3: 0.6111 prec@top3: 0.4889 recall@top5: 0.8000 prec@top5: 0.3867 loss_action_cls: 0.0454 2022/12/03 19:41:17 - mmengine - INFO - Epoch(train) [5][2460/4451] lr: 7.6916e-02 eta: 2:09:25 time: 0.3218 data_time: 0.0095 memory: 8510 grad_norm: 0.1578 loss: 0.0450 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.6818 recall@top3: 0.8636 prec@top3: 0.5909 recall@top5: 0.9167 prec@top5: 0.3818 loss_action_cls: 0.0450 2022/12/03 19:41:23 - mmengine - INFO - Epoch(train) [5][2480/4451] lr: 7.6842e-02 eta: 2:09:19 time: 0.3188 data_time: 0.0099 memory: 8510 grad_norm: 0.1645 loss: 0.0436 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.8125 recall@top3: 0.7344 prec@top3: 0.5625 recall@top5: 0.8073 prec@top5: 0.3875 loss_action_cls: 0.0436 2022/12/03 19:41:30 - mmengine - INFO - Epoch(train) [5][2500/4451] lr: 7.6767e-02 eta: 2:09:12 time: 0.3209 data_time: 0.0099 memory: 8510 grad_norm: 0.1621 loss: 0.0482 recall@thr=0.5: 0.6131 prec@thr=0.5: 0.6577 recall@top3: 0.8571 prec@top3: 0.5476 recall@top5: 0.9583 prec@top5: 0.3786 loss_action_cls: 0.0482 2022/12/03 19:41:36 - mmengine - INFO - Epoch(train) [5][2520/4451] lr: 7.6693e-02 eta: 2:09:06 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.1650 loss: 0.0403 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7883 recall@top3: 0.8056 prec@top3: 0.7901 recall@top5: 0.9506 prec@top5: 0.5630 loss_action_cls: 0.0403 2022/12/03 19:41:42 - mmengine - INFO - Epoch(train) [5][2540/4451] lr: 7.6618e-02 eta: 2:08:59 time: 0.3217 data_time: 0.0098 memory: 8510 grad_norm: 0.1670 loss: 0.0417 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6471 recall@top3: 0.7255 prec@top3: 0.5294 recall@top5: 0.9706 prec@top5: 0.4118 loss_action_cls: 0.0417 2022/12/03 19:41:49 - mmengine - INFO - Epoch(train) [5][2560/4451] lr: 7.6543e-02 eta: 2:08:53 time: 0.3197 data_time: 0.0104 memory: 8510 grad_norm: 0.1578 loss: 0.0461 recall@thr=0.5: 0.2951 prec@thr=0.5: 0.3507 recall@top3: 0.5208 prec@top3: 0.4028 recall@top5: 0.8056 prec@top5: 0.4000 loss_action_cls: 0.0461 2022/12/03 19:41:55 - mmengine - INFO - Epoch(train) [5][2580/4451] lr: 7.6469e-02 eta: 2:08:47 time: 0.3204 data_time: 0.0096 memory: 8510 grad_norm: 0.1625 loss: 0.0423 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9062 recall@top3: 0.9375 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0423 2022/12/03 19:42:02 - mmengine - INFO - Epoch(train) [5][2600/4451] lr: 7.6394e-02 eta: 2:08:40 time: 0.3216 data_time: 0.0109 memory: 8510 grad_norm: 0.1597 loss: 0.0458 recall@thr=0.5: 0.4708 prec@thr=0.5: 0.6667 recall@top3: 0.7958 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.5300 loss_action_cls: 0.0458 2022/12/03 19:42:08 - mmengine - INFO - Epoch(train) [5][2620/4451] lr: 7.6319e-02 eta: 2:08:34 time: 0.3200 data_time: 0.0107 memory: 8510 grad_norm: 0.1650 loss: 0.0418 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.7675 recall@top3: 0.8026 prec@top3: 0.7719 recall@top5: 0.9298 prec@top5: 0.5474 loss_action_cls: 0.0418 2022/12/03 19:42:14 - mmengine - INFO - Epoch(train) [5][2640/4451] lr: 7.6244e-02 eta: 2:08:27 time: 0.3202 data_time: 0.0116 memory: 8510 grad_norm: 0.1561 loss: 0.0433 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.8125 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.8854 prec@top5: 0.4125 loss_action_cls: 0.0433 2022/12/03 19:42:21 - mmengine - INFO - Epoch(train) [5][2660/4451] lr: 7.6169e-02 eta: 2:08:21 time: 0.3204 data_time: 0.0098 memory: 8510 grad_norm: 0.1605 loss: 0.0444 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8704 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.3889 loss_action_cls: 0.0444 2022/12/03 19:42:27 - mmengine - INFO - Epoch(train) [5][2680/4451] lr: 7.6093e-02 eta: 2:08:15 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1600 loss: 0.0439 recall@thr=0.5: 0.5857 prec@thr=0.5: 0.5476 recall@top3: 0.7143 prec@top3: 0.3714 recall@top5: 0.7571 prec@top5: 0.2343 loss_action_cls: 0.0439 2022/12/03 19:42:34 - mmengine - INFO - Epoch(train) [5][2700/4451] lr: 7.6018e-02 eta: 2:08:08 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1638 loss: 0.0407 recall@thr=0.5: 0.5064 prec@thr=0.5: 0.5513 recall@top3: 0.7179 prec@top3: 0.5256 recall@top5: 0.8462 prec@top5: 0.3923 loss_action_cls: 0.0407 2022/12/03 19:42:40 - mmengine - INFO - Epoch(train) [5][2720/4451] lr: 7.5943e-02 eta: 2:08:02 time: 0.3205 data_time: 0.0114 memory: 8510 grad_norm: 0.1571 loss: 0.0448 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7130 recall@top3: 0.9861 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.3778 loss_action_cls: 0.0448 2022/12/03 19:42:46 - mmengine - INFO - Epoch(train) [5][2740/4451] lr: 7.5867e-02 eta: 2:07:55 time: 0.3202 data_time: 0.0103 memory: 8510 grad_norm: 0.1673 loss: 0.0420 recall@thr=0.5: 0.6717 prec@thr=0.5: 0.7833 recall@top3: 0.6975 prec@top3: 0.6167 recall@top5: 0.8425 prec@top5: 0.4800 loss_action_cls: 0.0420 2022/12/03 19:42:53 - mmengine - INFO - Epoch(train) [5][2760/4451] lr: 7.5792e-02 eta: 2:07:49 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1624 loss: 0.0505 recall@thr=0.5: 0.5378 prec@thr=0.5: 0.6778 recall@top3: 0.6622 prec@top3: 0.6222 recall@top5: 0.7689 prec@top5: 0.4533 loss_action_cls: 0.0505 2022/12/03 19:42:59 - mmengine - INFO - Epoch(train) [5][2780/4451] lr: 7.5716e-02 eta: 2:07:43 time: 0.3202 data_time: 0.0097 memory: 8510 grad_norm: 0.1664 loss: 0.0427 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8600 recall@top3: 0.8375 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5700 loss_action_cls: 0.0427 2022/12/03 19:43:06 - mmengine - INFO - Epoch(train) [5][2800/4451] lr: 7.5640e-02 eta: 2:07:36 time: 0.3209 data_time: 0.0097 memory: 8510 grad_norm: 0.1631 loss: 0.0409 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7647 recall@top3: 0.8039 prec@top3: 0.5294 recall@top5: 0.9608 prec@top5: 0.3882 loss_action_cls: 0.0409 2022/12/03 19:43:12 - mmengine - INFO - Epoch(train) [5][2820/4451] lr: 7.5565e-02 eta: 2:07:30 time: 0.3209 data_time: 0.0099 memory: 8510 grad_norm: 0.1570 loss: 0.0464 recall@thr=0.5: 0.4216 prec@thr=0.5: 0.4608 recall@top3: 0.5686 prec@top3: 0.3529 recall@top5: 0.7843 prec@top5: 0.2824 loss_action_cls: 0.0464 2022/12/03 19:43:19 - mmengine - INFO - Epoch(train) [5][2840/4451] lr: 7.5489e-02 eta: 2:07:23 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1577 loss: 0.0395 recall@thr=0.5: 0.8202 prec@thr=0.5: 0.8026 recall@top3: 0.8816 prec@top3: 0.6491 recall@top5: 0.8947 prec@top5: 0.4000 loss_action_cls: 0.0395 2022/12/03 19:43:25 - mmengine - INFO - Epoch(train) [5][2860/4451] lr: 7.5413e-02 eta: 2:07:17 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.1634 loss: 0.0485 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.6250 recall@top3: 0.7500 prec@top3: 0.4583 recall@top5: 0.8438 prec@top5: 0.3000 loss_action_cls: 0.0485 2022/12/03 19:43:31 - mmengine - INFO - Epoch(train) [5][2880/4451] lr: 7.5337e-02 eta: 2:07:11 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1651 loss: 0.0418 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.5455 recall@top3: 0.8144 prec@top3: 0.4697 recall@top5: 0.8902 prec@top5: 0.3091 loss_action_cls: 0.0418 2022/12/03 19:43:38 - mmengine - INFO - Epoch(train) [5][2900/4451] lr: 7.5261e-02 eta: 2:07:04 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.1656 loss: 0.0458 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.6439 recall@top3: 0.8712 prec@top3: 0.5758 recall@top5: 0.9318 prec@top5: 0.3818 loss_action_cls: 0.0458 2022/12/03 19:43:44 - mmengine - INFO - Epoch(train) [5][2920/4451] lr: 7.5184e-02 eta: 2:06:58 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1598 loss: 0.0429 recall@thr=0.5: 0.4697 prec@thr=0.5: 0.7045 recall@top3: 0.8106 prec@top3: 0.5152 recall@top5: 0.8712 prec@top5: 0.3455 loss_action_cls: 0.0429 2022/12/03 19:43:51 - mmengine - INFO - Epoch(train) [5][2940/4451] lr: 7.5108e-02 eta: 2:06:51 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1581 loss: 0.0440 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7103 recall@top3: 0.8254 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4619 loss_action_cls: 0.0440 2022/12/03 19:43:57 - mmengine - INFO - Epoch(train) [5][2960/4451] lr: 7.5032e-02 eta: 2:06:45 time: 0.3204 data_time: 0.0098 memory: 8510 grad_norm: 0.1672 loss: 0.0373 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7593 recall@top3: 0.8796 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0373 2022/12/03 19:44:03 - mmengine - INFO - Epoch(train) [5][2980/4451] lr: 7.4955e-02 eta: 2:06:39 time: 0.3192 data_time: 0.0104 memory: 8510 grad_norm: 0.1593 loss: 0.0479 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.6667 recall@top3: 0.7685 prec@top3: 0.7037 recall@top5: 0.9259 prec@top5: 0.4889 loss_action_cls: 0.0479 2022/12/03 19:44:10 - mmengine - INFO - Epoch(train) [5][3000/4451] lr: 7.4879e-02 eta: 2:06:32 time: 0.3209 data_time: 0.0097 memory: 8510 grad_norm: 0.1642 loss: 0.0451 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8070 recall@top3: 0.8509 prec@top3: 0.6667 recall@top5: 0.9298 prec@top5: 0.4316 loss_action_cls: 0.0451 2022/12/03 19:44:16 - mmengine - INFO - Epoch(train) [5][3020/4451] lr: 7.4802e-02 eta: 2:06:26 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1538 loss: 0.0395 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8730 recall@top3: 0.7937 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.5048 loss_action_cls: 0.0395 2022/12/03 19:44:23 - mmengine - INFO - Epoch(train) [5][3040/4451] lr: 7.4726e-02 eta: 2:06:19 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.1646 loss: 0.0433 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.8137 recall@top3: 0.8431 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0433 2022/12/03 19:44:29 - mmengine - INFO - Epoch(train) [5][3060/4451] lr: 7.4649e-02 eta: 2:06:13 time: 0.3204 data_time: 0.0105 memory: 8510 grad_norm: 0.1568 loss: 0.0506 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8258 recall@top3: 0.7727 prec@top3: 0.6515 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0506 2022/12/03 19:44:35 - mmengine - INFO - Epoch(train) [5][3080/4451] lr: 7.4572e-02 eta: 2:06:07 time: 0.3222 data_time: 0.0098 memory: 8510 grad_norm: 0.1575 loss: 0.0453 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8596 recall@top3: 0.8596 prec@top3: 0.7544 recall@top5: 0.8947 prec@top5: 0.4737 loss_action_cls: 0.0453 2022/12/03 19:44:42 - mmengine - INFO - Epoch(train) [5][3100/4451] lr: 7.4495e-02 eta: 2:06:00 time: 0.3198 data_time: 0.0111 memory: 8510 grad_norm: 0.1609 loss: 0.0433 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6471 recall@top3: 0.8824 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.3647 loss_action_cls: 0.0433 2022/12/03 19:44:48 - mmengine - INFO - Epoch(train) [5][3120/4451] lr: 7.4418e-02 eta: 2:05:54 time: 0.3192 data_time: 0.0104 memory: 8510 grad_norm: 0.1572 loss: 0.0444 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.5556 recall@top3: 0.9444 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0444 2022/12/03 19:44:55 - mmengine - INFO - Epoch(train) [5][3140/4451] lr: 7.4341e-02 eta: 2:05:47 time: 0.3215 data_time: 0.0113 memory: 8510 grad_norm: 0.1613 loss: 0.0460 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9300 recall@top3: 0.8167 prec@top3: 0.9000 recall@top5: 0.9292 prec@top5: 0.6300 loss_action_cls: 0.0460 2022/12/03 19:45:01 - mmengine - INFO - Epoch(train) [5][3160/4451] lr: 7.4264e-02 eta: 2:05:41 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1635 loss: 0.0438 recall@thr=0.5: 0.4895 prec@thr=0.5: 0.6643 recall@top3: 0.6514 prec@top3: 0.5048 recall@top5: 0.9105 prec@top5: 0.4229 loss_action_cls: 0.0438 2022/12/03 19:45:08 - mmengine - INFO - Epoch(train) [5][3180/4451] lr: 7.4187e-02 eta: 2:05:35 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1630 loss: 0.0482 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6667 recall@top3: 0.8102 prec@top3: 0.6111 recall@top5: 0.8241 prec@top5: 0.3778 loss_action_cls: 0.0482 2022/12/03 19:45:13 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:45:14 - mmengine - INFO - Epoch(train) [5][3200/4451] lr: 7.4110e-02 eta: 2:05:28 time: 0.3215 data_time: 0.0100 memory: 8510 grad_norm: 0.1668 loss: 0.0475 recall@thr=0.5: 0.3542 prec@thr=0.5: 0.4722 recall@top3: 0.6944 prec@top3: 0.5556 recall@top5: 0.8681 prec@top5: 0.4167 loss_action_cls: 0.0475 2022/12/03 19:45:20 - mmengine - INFO - Epoch(train) [5][3220/4451] lr: 7.4032e-02 eta: 2:05:22 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1562 loss: 0.0414 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7111 recall@top3: 0.8222 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0414 2022/12/03 19:45:27 - mmengine - INFO - Epoch(train) [5][3240/4451] lr: 7.3955e-02 eta: 2:05:15 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.1631 loss: 0.0435 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.8444 recall@top3: 0.8800 prec@top3: 0.6000 recall@top5: 0.9556 prec@top5: 0.4267 loss_action_cls: 0.0435 2022/12/03 19:45:33 - mmengine - INFO - Epoch(train) [5][3260/4451] lr: 7.3878e-02 eta: 2:05:09 time: 0.3211 data_time: 0.0105 memory: 8510 grad_norm: 0.1647 loss: 0.0440 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7167 recall@top3: 0.8500 prec@top3: 0.5667 recall@top5: 0.9250 prec@top5: 0.3700 loss_action_cls: 0.0440 2022/12/03 19:45:40 - mmengine - INFO - Epoch(train) [5][3280/4451] lr: 7.3800e-02 eta: 2:05:03 time: 0.3213 data_time: 0.0103 memory: 8510 grad_norm: 0.1586 loss: 0.0409 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7187 recall@top3: 0.8125 prec@top3: 0.5208 recall@top5: 1.0000 prec@top5: 0.3625 loss_action_cls: 0.0409 2022/12/03 19:45:46 - mmengine - INFO - Epoch(train) [5][3300/4451] lr: 7.3722e-02 eta: 2:04:56 time: 0.3206 data_time: 0.0113 memory: 8510 grad_norm: 0.1506 loss: 0.0505 recall@thr=0.5: 0.4977 prec@thr=0.5: 0.7190 recall@top3: 0.6966 prec@top3: 0.7011 recall@top5: 0.8132 prec@top5: 0.5103 loss_action_cls: 0.0505 2022/12/03 19:45:52 - mmengine - INFO - Epoch(train) [5][3320/4451] lr: 7.3645e-02 eta: 2:04:50 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.1692 loss: 0.0444 recall@thr=0.5: 0.4940 prec@thr=0.5: 0.5800 recall@top3: 0.6980 prec@top3: 0.5333 recall@top5: 0.8307 prec@top5: 0.3920 loss_action_cls: 0.0444 2022/12/03 19:45:59 - mmengine - INFO - Epoch(train) [5][3340/4451] lr: 7.3567e-02 eta: 2:04:43 time: 0.3193 data_time: 0.0103 memory: 8510 grad_norm: 0.1630 loss: 0.0390 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.6778 recall@top3: 0.8403 prec@top3: 0.6528 recall@top5: 0.9896 prec@top5: 0.4583 loss_action_cls: 0.0390 2022/12/03 19:46:05 - mmengine - INFO - Epoch(train) [5][3360/4451] lr: 7.3489e-02 eta: 2:04:37 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1639 loss: 0.0479 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.7778 recall@top3: 0.7056 prec@top3: 0.5778 recall@top5: 0.8111 prec@top5: 0.4133 loss_action_cls: 0.0479 2022/12/03 19:46:12 - mmengine - INFO - Epoch(train) [5][3380/4451] lr: 7.3411e-02 eta: 2:04:31 time: 0.3201 data_time: 0.0114 memory: 8510 grad_norm: 0.1540 loss: 0.0409 recall@thr=0.5: 0.7990 prec@thr=0.5: 0.9216 recall@top3: 0.8627 prec@top3: 0.5686 recall@top5: 0.9510 prec@top5: 0.4000 loss_action_cls: 0.0409 2022/12/03 19:46:18 - mmengine - INFO - Epoch(train) [5][3400/4451] lr: 7.3333e-02 eta: 2:04:24 time: 0.3205 data_time: 0.0112 memory: 8510 grad_norm: 0.1674 loss: 0.0474 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6222 recall@top3: 0.6000 prec@top3: 0.3556 recall@top5: 0.8333 prec@top5: 0.2800 loss_action_cls: 0.0474 2022/12/03 19:46:24 - mmengine - INFO - Epoch(train) [5][3420/4451] lr: 7.3255e-02 eta: 2:04:18 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1605 loss: 0.0444 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.7867 recall@top3: 0.9167 prec@top3: 0.6800 recall@top5: 0.9800 prec@top5: 0.4480 loss_action_cls: 0.0444 2022/12/03 19:46:31 - mmengine - INFO - Epoch(train) [5][3440/4451] lr: 7.3177e-02 eta: 2:04:11 time: 0.3193 data_time: 0.0101 memory: 8510 grad_norm: 0.1622 loss: 0.0467 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8529 recall@top3: 0.8824 prec@top3: 0.5882 recall@top5: 0.9216 prec@top5: 0.3765 loss_action_cls: 0.0467 2022/12/03 19:46:37 - mmengine - INFO - Epoch(train) [5][3460/4451] lr: 7.3099e-02 eta: 2:04:05 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1613 loss: 0.0398 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.8125 recall@top3: 0.8333 prec@top3: 0.7500 recall@top5: 0.8542 prec@top5: 0.4625 loss_action_cls: 0.0398 2022/12/03 19:46:44 - mmengine - INFO - Epoch(train) [5][3480/4451] lr: 7.3020e-02 eta: 2:03:58 time: 0.3203 data_time: 0.0098 memory: 8510 grad_norm: 0.1605 loss: 0.0468 recall@thr=0.5: 0.8488 prec@thr=0.5: 0.8457 recall@top3: 0.9043 prec@top3: 0.7037 recall@top5: 0.9877 prec@top5: 0.4519 loss_action_cls: 0.0468 2022/12/03 19:46:50 - mmengine - INFO - Epoch(train) [5][3500/4451] lr: 7.2942e-02 eta: 2:03:52 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1614 loss: 0.0481 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6833 recall@top3: 0.7833 prec@top3: 0.6833 recall@top5: 0.8417 prec@top5: 0.4500 loss_action_cls: 0.0481 2022/12/03 19:46:56 - mmengine - INFO - Epoch(train) [5][3520/4451] lr: 7.2864e-02 eta: 2:03:46 time: 0.3189 data_time: 0.0117 memory: 8510 grad_norm: 0.1600 loss: 0.0436 recall@thr=0.5: 0.5964 prec@thr=0.5: 0.6484 recall@top3: 0.7865 prec@top3: 0.6250 recall@top5: 0.8854 prec@top5: 0.4187 loss_action_cls: 0.0436 2022/12/03 19:47:03 - mmengine - INFO - Epoch(train) [5][3540/4451] lr: 7.2785e-02 eta: 2:03:39 time: 0.3196 data_time: 0.0110 memory: 8510 grad_norm: 0.1672 loss: 0.0443 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6167 recall@top3: 0.7600 prec@top3: 0.6533 recall@top5: 0.9000 prec@top5: 0.4720 loss_action_cls: 0.0443 2022/12/03 19:47:09 - mmengine - INFO - Epoch(train) [5][3560/4451] lr: 7.2707e-02 eta: 2:03:33 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.1616 loss: 0.0388 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7889 recall@top3: 0.8889 prec@top3: 0.6222 recall@top5: 0.9778 prec@top5: 0.4267 loss_action_cls: 0.0388 2022/12/03 19:47:16 - mmengine - INFO - Epoch(train) [5][3580/4451] lr: 7.2628e-02 eta: 2:03:26 time: 0.3212 data_time: 0.0105 memory: 8510 grad_norm: 0.1643 loss: 0.0465 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6935 recall@top3: 0.7177 prec@top3: 0.6344 recall@top5: 0.9032 prec@top5: 0.4903 loss_action_cls: 0.0465 2022/12/03 19:47:22 - mmengine - INFO - Epoch(train) [5][3600/4451] lr: 7.2549e-02 eta: 2:03:20 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1677 loss: 0.0481 recall@thr=0.5: 0.6408 prec@thr=0.5: 0.7750 recall@top3: 0.7967 prec@top3: 0.6167 recall@top5: 0.9317 prec@top5: 0.4400 loss_action_cls: 0.0481 2022/12/03 19:47:28 - mmengine - INFO - Epoch(train) [5][3620/4451] lr: 7.2470e-02 eta: 2:03:14 time: 0.3202 data_time: 0.0111 memory: 8510 grad_norm: 0.1639 loss: 0.0405 recall@thr=0.5: 0.5567 prec@thr=0.5: 0.5200 recall@top3: 0.8067 prec@top3: 0.6133 recall@top5: 0.9733 prec@top5: 0.4640 loss_action_cls: 0.0405 2022/12/03 19:47:35 - mmengine - INFO - Epoch(train) [5][3640/4451] lr: 7.2392e-02 eta: 2:03:07 time: 0.3215 data_time: 0.0096 memory: 8510 grad_norm: 0.1686 loss: 0.0448 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.8241 recall@top3: 0.8333 prec@top3: 0.5741 recall@top5: 0.9259 prec@top5: 0.4111 loss_action_cls: 0.0448 2022/12/03 19:47:41 - mmengine - INFO - Epoch(train) [5][3660/4451] lr: 7.2313e-02 eta: 2:03:01 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1524 loss: 0.0430 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8258 recall@top3: 0.7500 prec@top3: 0.6061 recall@top5: 0.8902 prec@top5: 0.4364 loss_action_cls: 0.0430 2022/12/03 19:47:48 - mmengine - INFO - Epoch(train) [5][3680/4451] lr: 7.2234e-02 eta: 2:02:54 time: 0.3200 data_time: 0.0100 memory: 8510 grad_norm: 0.1613 loss: 0.0465 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.5750 recall@top3: 0.8083 prec@top3: 0.5500 recall@top5: 0.8750 prec@top5: 0.3600 loss_action_cls: 0.0465 2022/12/03 19:47:54 - mmengine - INFO - Epoch(train) [5][3700/4451] lr: 7.2155e-02 eta: 2:02:48 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1567 loss: 0.0422 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7500 recall@top3: 0.8500 prec@top3: 0.6167 recall@top5: 0.9500 prec@top5: 0.4300 loss_action_cls: 0.0422 2022/12/03 19:48:01 - mmengine - INFO - Epoch(train) [5][3720/4451] lr: 7.2076e-02 eta: 2:02:42 time: 0.3201 data_time: 0.0116 memory: 8510 grad_norm: 0.1594 loss: 0.0443 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.4524 recall@top3: 0.8413 prec@top3: 0.6190 recall@top5: 0.9206 prec@top5: 0.4190 loss_action_cls: 0.0443 2022/12/03 19:48:07 - mmengine - INFO - Epoch(train) [5][3740/4451] lr: 7.1996e-02 eta: 2:02:35 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1597 loss: 0.0412 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.6719 recall@top3: 0.6354 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0412 2022/12/03 19:48:13 - mmengine - INFO - Epoch(train) [5][3760/4451] lr: 7.1917e-02 eta: 2:02:29 time: 0.3215 data_time: 0.0103 memory: 8510 grad_norm: 0.1658 loss: 0.0465 recall@thr=0.5: 0.7126 prec@thr=0.5: 0.7989 recall@top3: 0.8276 prec@top3: 0.6667 recall@top5: 0.9770 prec@top5: 0.5034 loss_action_cls: 0.0465 2022/12/03 19:48:20 - mmengine - INFO - Epoch(train) [5][3780/4451] lr: 7.1838e-02 eta: 2:02:22 time: 0.3195 data_time: 0.0094 memory: 8510 grad_norm: 0.1562 loss: 0.0476 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7542 recall@top3: 0.8875 prec@top3: 0.6833 recall@top5: 0.9667 prec@top5: 0.4500 loss_action_cls: 0.0476 2022/12/03 19:48:26 - mmengine - INFO - Epoch(train) [5][3800/4451] lr: 7.1758e-02 eta: 2:02:16 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1536 loss: 0.0416 recall@thr=0.5: 0.6711 prec@thr=0.5: 0.6237 recall@top3: 0.7807 prec@top3: 0.6316 recall@top5: 0.9342 prec@top5: 0.4737 loss_action_cls: 0.0416 2022/12/03 19:48:33 - mmengine - INFO - Epoch(train) [5][3820/4451] lr: 7.1679e-02 eta: 2:02:10 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1651 loss: 0.0427 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7639 recall@top3: 0.7222 prec@top3: 0.5000 recall@top5: 0.9444 prec@top5: 0.4167 loss_action_cls: 0.0427 2022/12/03 19:48:39 - mmengine - INFO - Epoch(train) [5][3840/4451] lr: 7.1599e-02 eta: 2:02:03 time: 0.3198 data_time: 0.0116 memory: 8510 grad_norm: 0.1611 loss: 0.0470 recall@thr=0.5: 0.4103 prec@thr=0.5: 0.4872 recall@top3: 0.6923 prec@top3: 0.5641 recall@top5: 0.7949 prec@top5: 0.4000 loss_action_cls: 0.0470 2022/12/03 19:48:45 - mmengine - INFO - Epoch(train) [5][3860/4451] lr: 7.1520e-02 eta: 2:01:57 time: 0.3221 data_time: 0.0101 memory: 8510 grad_norm: 0.1675 loss: 0.0453 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.6167 recall@top3: 0.7750 prec@top3: 0.5333 recall@top5: 0.9250 prec@top5: 0.4000 loss_action_cls: 0.0453 2022/12/03 19:48:52 - mmengine - INFO - Epoch(train) [5][3880/4451] lr: 7.1440e-02 eta: 2:01:50 time: 0.3211 data_time: 0.0099 memory: 8510 grad_norm: 0.1626 loss: 0.0486 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6548 recall@top3: 0.8373 prec@top3: 0.7460 recall@top5: 1.0000 prec@top5: 0.5619 loss_action_cls: 0.0486 2022/12/03 19:48:58 - mmengine - INFO - Epoch(train) [5][3900/4451] lr: 7.1360e-02 eta: 2:01:44 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1629 loss: 0.0417 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8056 recall@top3: 0.9074 prec@top3: 0.5556 recall@top5: 0.9259 prec@top5: 0.3444 loss_action_cls: 0.0417 2022/12/03 19:49:05 - mmengine - INFO - Epoch(train) [5][3920/4451] lr: 7.1281e-02 eta: 2:01:38 time: 0.3208 data_time: 0.0102 memory: 8510 grad_norm: 0.1616 loss: 0.0448 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8254 recall@top3: 0.8548 prec@top3: 0.6032 recall@top5: 0.8857 prec@top5: 0.3905 loss_action_cls: 0.0448 2022/12/03 19:49:11 - mmengine - INFO - Epoch(train) [5][3940/4451] lr: 7.1201e-02 eta: 2:01:31 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.1686 loss: 0.0484 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7451 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.8431 prec@top5: 0.3647 loss_action_cls: 0.0484 2022/12/03 19:49:17 - mmengine - INFO - Epoch(train) [5][3960/4451] lr: 7.1121e-02 eta: 2:01:25 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1614 loss: 0.0426 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.6154 recall@top3: 0.8462 prec@top3: 0.4615 recall@top5: 0.9231 prec@top5: 0.3077 loss_action_cls: 0.0426 2022/12/03 19:49:24 - mmengine - INFO - Epoch(train) [5][3980/4451] lr: 7.1041e-02 eta: 2:01:18 time: 0.3222 data_time: 0.0100 memory: 8510 grad_norm: 0.1588 loss: 0.0459 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8772 recall@top3: 0.8333 prec@top3: 0.7193 recall@top5: 0.9649 prec@top5: 0.5158 loss_action_cls: 0.0459 2022/12/03 19:49:30 - mmengine - INFO - Epoch(train) [5][4000/4451] lr: 7.0961e-02 eta: 2:01:12 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1696 loss: 0.0436 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.7045 recall@top3: 0.8030 prec@top3: 0.6212 recall@top5: 0.9621 prec@top5: 0.4455 loss_action_cls: 0.0436 2022/12/03 19:49:37 - mmengine - INFO - Epoch(train) [5][4020/4451] lr: 7.0880e-02 eta: 2:01:06 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1661 loss: 0.0430 recall@thr=0.5: 0.5040 prec@thr=0.5: 0.7069 recall@top3: 0.7494 prec@top3: 0.6667 recall@top5: 0.8511 prec@top5: 0.4621 loss_action_cls: 0.0430 2022/12/03 19:49:43 - mmengine - INFO - Epoch(train) [5][4040/4451] lr: 7.0800e-02 eta: 2:00:59 time: 0.3206 data_time: 0.0103 memory: 8510 grad_norm: 0.1597 loss: 0.0428 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.6667 recall@top3: 0.8472 prec@top3: 0.6528 recall@top5: 0.9479 prec@top5: 0.4500 loss_action_cls: 0.0428 2022/12/03 19:49:50 - mmengine - INFO - Epoch(train) [5][4060/4451] lr: 7.0720e-02 eta: 2:00:53 time: 0.3211 data_time: 0.0098 memory: 8510 grad_norm: 0.1610 loss: 0.0441 recall@thr=0.5: 0.4825 prec@thr=0.5: 0.5714 recall@top3: 0.6238 prec@top3: 0.3810 recall@top5: 0.7841 prec@top5: 0.3143 loss_action_cls: 0.0441 2022/12/03 19:49:56 - mmengine - INFO - Epoch(train) [5][4080/4451] lr: 7.0640e-02 eta: 2:00:46 time: 0.3200 data_time: 0.0098 memory: 8510 grad_norm: 0.1589 loss: 0.0442 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7889 recall@top3: 0.9056 prec@top3: 0.6444 recall@top5: 0.9500 prec@top5: 0.4133 loss_action_cls: 0.0442 2022/12/03 19:50:02 - mmengine - INFO - Epoch(train) [5][4100/4451] lr: 7.0559e-02 eta: 2:00:40 time: 0.3200 data_time: 0.0106 memory: 8510 grad_norm: 0.1650 loss: 0.0449 recall@thr=0.5: 0.5446 prec@thr=0.5: 0.6131 recall@top3: 0.6548 prec@top3: 0.4643 recall@top5: 0.7500 prec@top5: 0.3357 loss_action_cls: 0.0449 2022/12/03 19:50:09 - mmengine - INFO - Epoch(train) [5][4120/4451] lr: 7.0479e-02 eta: 2:00:34 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.1682 loss: 0.0443 recall@thr=0.5: 0.4891 prec@thr=0.5: 0.5471 recall@top3: 0.7609 prec@top3: 0.4493 recall@top5: 0.9348 prec@top5: 0.3391 loss_action_cls: 0.0443 2022/12/03 19:50:15 - mmengine - INFO - Epoch(train) [5][4140/4451] lr: 7.0398e-02 eta: 2:00:27 time: 0.3202 data_time: 0.0103 memory: 8510 grad_norm: 0.1613 loss: 0.0448 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6875 recall@top3: 0.6979 prec@top3: 0.3750 recall@top5: 0.8333 prec@top5: 0.2875 loss_action_cls: 0.0448 2022/12/03 19:50:22 - mmengine - INFO - Epoch(train) [5][4160/4451] lr: 7.0318e-02 eta: 2:00:21 time: 0.3218 data_time: 0.0099 memory: 8510 grad_norm: 0.1640 loss: 0.0447 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7685 recall@top3: 0.7917 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0447 2022/12/03 19:50:28 - mmengine - INFO - Epoch(train) [5][4180/4451] lr: 7.0237e-02 eta: 2:00:14 time: 0.3205 data_time: 0.0107 memory: 8510 grad_norm: 0.1669 loss: 0.0449 recall@thr=0.5: 0.7078 prec@thr=0.5: 0.8333 recall@top3: 0.7765 prec@top3: 0.4902 recall@top5: 0.8392 prec@top5: 0.3412 loss_action_cls: 0.0449 2022/12/03 19:50:33 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:50:34 - mmengine - INFO - Epoch(train) [5][4200/4451] lr: 7.0156e-02 eta: 2:00:08 time: 0.3202 data_time: 0.0104 memory: 8510 grad_norm: 0.1743 loss: 0.0428 recall@thr=0.5: 0.4033 prec@thr=0.5: 0.5400 recall@top3: 0.6200 prec@top3: 0.5778 recall@top5: 0.8511 prec@top5: 0.5200 loss_action_cls: 0.0428 2022/12/03 19:50:41 - mmengine - INFO - Epoch(train) [5][4220/4451] lr: 7.0076e-02 eta: 2:00:02 time: 0.3217 data_time: 0.0100 memory: 8510 grad_norm: 0.1627 loss: 0.0451 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.6442 recall@top3: 0.7083 prec@top3: 0.7051 recall@top5: 0.9776 prec@top5: 0.5154 loss_action_cls: 0.0451 2022/12/03 19:50:47 - mmengine - INFO - Epoch(train) [5][4240/4451] lr: 6.9995e-02 eta: 1:59:55 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.1625 loss: 0.0451 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7063 recall@top3: 0.9365 prec@top3: 0.6032 recall@top5: 0.9683 prec@top5: 0.3810 loss_action_cls: 0.0451 2022/12/03 19:50:54 - mmengine - INFO - Epoch(train) [5][4260/4451] lr: 6.9914e-02 eta: 1:59:49 time: 0.3194 data_time: 0.0101 memory: 8510 grad_norm: 0.1657 loss: 0.0400 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6111 recall@top3: 0.6516 prec@top3: 0.5556 recall@top5: 0.8635 prec@top5: 0.4476 loss_action_cls: 0.0400 2022/12/03 19:51:00 - mmengine - INFO - Epoch(train) [5][4280/4451] lr: 6.9833e-02 eta: 1:59:42 time: 0.3206 data_time: 0.0098 memory: 8510 grad_norm: 0.1585 loss: 0.0442 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8725 recall@top3: 0.8039 prec@top3: 0.5686 recall@top5: 0.9804 prec@top5: 0.4235 loss_action_cls: 0.0442 2022/12/03 19:51:07 - mmengine - INFO - Epoch(train) [5][4300/4451] lr: 6.9752e-02 eta: 1:59:36 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.1577 loss: 0.0430 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6176 recall@top3: 0.8039 prec@top3: 0.5098 recall@top5: 0.8627 prec@top5: 0.3176 loss_action_cls: 0.0430 2022/12/03 19:51:13 - mmengine - INFO - Epoch(train) [5][4320/4451] lr: 6.9671e-02 eta: 1:59:30 time: 0.3202 data_time: 0.0099 memory: 8510 grad_norm: 0.1635 loss: 0.0413 recall@thr=0.5: 0.5221 prec@thr=0.5: 0.6544 recall@top3: 0.6495 prec@top3: 0.5882 recall@top5: 0.8873 prec@top5: 0.4824 loss_action_cls: 0.0413 2022/12/03 19:51:19 - mmengine - INFO - Epoch(train) [5][4340/4451] lr: 6.9590e-02 eta: 1:59:23 time: 0.3209 data_time: 0.0105 memory: 8510 grad_norm: 0.1601 loss: 0.0428 recall@thr=0.5: 0.6425 prec@thr=0.5: 0.7312 recall@top3: 0.7097 prec@top3: 0.6022 recall@top5: 0.8629 prec@top5: 0.4323 loss_action_cls: 0.0428 2022/12/03 19:51:26 - mmengine - INFO - Epoch(train) [5][4360/4451] lr: 6.9508e-02 eta: 1:59:17 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1660 loss: 0.0456 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7879 recall@top3: 0.7992 prec@top3: 0.6818 recall@top5: 0.9621 prec@top5: 0.5182 loss_action_cls: 0.0456 2022/12/03 19:51:32 - mmengine - INFO - Epoch(train) [5][4380/4451] lr: 6.9427e-02 eta: 1:59:10 time: 0.3207 data_time: 0.0101 memory: 8510 grad_norm: 0.1578 loss: 0.0468 recall@thr=0.5: 0.4133 prec@thr=0.5: 0.4111 recall@top3: 0.8422 prec@top3: 0.6000 recall@top5: 0.9178 prec@top5: 0.4267 loss_action_cls: 0.0468 2022/12/03 19:51:39 - mmengine - INFO - Epoch(train) [5][4400/4451] lr: 6.9346e-02 eta: 1:59:04 time: 0.3194 data_time: 0.0107 memory: 8510 grad_norm: 0.1675 loss: 0.0425 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.7556 recall@top3: 0.7333 prec@top3: 0.5111 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0425 2022/12/03 19:51:45 - mmengine - INFO - Epoch(train) [5][4420/4451] lr: 6.9265e-02 eta: 1:58:58 time: 0.3216 data_time: 0.0096 memory: 8510 grad_norm: 0.1620 loss: 0.0413 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.8333 recall@top3: 0.7826 prec@top3: 0.6957 recall@top5: 0.8877 prec@top5: 0.4957 loss_action_cls: 0.0413 2022/12/03 19:51:51 - mmengine - INFO - Epoch(train) [5][4440/4451] lr: 6.9183e-02 eta: 1:58:51 time: 0.3186 data_time: 0.0101 memory: 8510 grad_norm: 0.1656 loss: 0.0419 recall@thr=0.5: 0.7357 prec@thr=0.5: 0.7470 recall@top3: 0.8726 prec@top3: 0.6667 recall@top5: 0.9881 prec@top5: 0.4571 loss_action_cls: 0.0419 2022/12/03 19:51:55 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 19:51:55 - mmengine - INFO - Epoch(train) [5][4451/4451] lr: 6.9138e-02 eta: 1:58:48 time: 0.3145 data_time: 0.0097 memory: 8510 grad_norm: 0.1703 loss: 0.0471 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6852 recall@top3: 0.9074 prec@top3: 0.6481 recall@top5: 0.9352 prec@top5: 0.4111 loss_action_cls: 0.0471 2022/12/03 19:51:55 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/12/03 19:52:00 - mmengine - INFO - Epoch(val) [5][ 20/6282] eta: 0:04:49 time: 0.0462 data_time: 0.0095 memory: 661 2022/12/03 19:52:00 - mmengine - INFO - Epoch(val) [5][ 40/6282] eta: 0:04:21 time: 0.0376 data_time: 0.0047 memory: 661 2022/12/03 19:52:01 - mmengine - INFO - Epoch(val) [5][ 60/6282] eta: 0:04:13 time: 0.0386 data_time: 0.0059 memory: 661 2022/12/03 19:52:02 - mmengine - INFO - Epoch(val) [5][ 80/6282] eta: 0:04:04 time: 0.0350 data_time: 0.0040 memory: 661 2022/12/03 19:52:03 - mmengine - INFO - Epoch(val) [5][ 100/6282] eta: 0:04:09 time: 0.0444 data_time: 0.0061 memory: 661 2022/12/03 19:52:04 - mmengine - INFO - Epoch(val) [5][ 120/6282] eta: 0:04:13 time: 0.0451 data_time: 0.0040 memory: 732 2022/12/03 19:52:05 - mmengine - INFO - Epoch(val) [5][ 140/6282] eta: 0:04:19 time: 0.0493 data_time: 0.0040 memory: 732 2022/12/03 19:52:05 - mmengine - INFO - Epoch(val) [5][ 160/6282] eta: 0:04:21 time: 0.0459 data_time: 0.0037 memory: 732 2022/12/03 19:52:07 - mmengine - INFO - Epoch(val) [5][ 180/6282] eta: 0:04:26 time: 0.0508 data_time: 0.0049 memory: 732 2022/12/03 19:52:08 - mmengine - INFO - Epoch(val) [5][ 200/6282] eta: 0:04:28 time: 0.0489 data_time: 0.0052 memory: 732 2022/12/03 19:52:08 - mmengine - INFO - Epoch(val) [5][ 220/6282] eta: 0:04:27 time: 0.0432 data_time: 0.0051 memory: 674 2022/12/03 19:52:09 - mmengine - INFO - Epoch(val) [5][ 240/6282] eta: 0:04:26 time: 0.0443 data_time: 0.0056 memory: 674 2022/12/03 19:52:10 - mmengine - INFO - Epoch(val) [5][ 260/6282] eta: 0:04:25 time: 0.0444 data_time: 0.0062 memory: 674 2022/12/03 19:52:11 - mmengine - INFO - Epoch(val) [5][ 280/6282] eta: 0:04:24 time: 0.0433 data_time: 0.0052 memory: 674 2022/12/03 19:52:12 - mmengine - INFO - Epoch(val) [5][ 300/6282] eta: 0:04:23 time: 0.0443 data_time: 0.0052 memory: 732 2022/12/03 19:52:13 - mmengine - INFO - Epoch(val) [5][ 320/6282] eta: 0:04:23 time: 0.0468 data_time: 0.0046 memory: 732 2022/12/03 19:52:14 - mmengine - INFO - Epoch(val) [5][ 340/6282] eta: 0:04:24 time: 0.0481 data_time: 0.0048 memory: 732 2022/12/03 19:52:15 - mmengine - INFO - Epoch(val) [5][ 360/6282] eta: 0:04:24 time: 0.0482 data_time: 0.0045 memory: 732 2022/12/03 19:52:16 - mmengine - INFO - Epoch(val) [5][ 380/6282] eta: 0:04:25 time: 0.0487 data_time: 0.0047 memory: 732 2022/12/03 19:52:17 - mmengine - INFO - Epoch(val) [5][ 400/6282] eta: 0:04:24 time: 0.0455 data_time: 0.0032 memory: 732 2022/12/03 19:52:18 - mmengine - INFO - Epoch(val) [5][ 420/6282] eta: 0:04:22 time: 0.0406 data_time: 0.0052 memory: 678 2022/12/03 19:52:18 - mmengine - INFO - Epoch(val) [5][ 440/6282] eta: 0:04:20 time: 0.0429 data_time: 0.0062 memory: 678 2022/12/03 19:52:19 - mmengine - INFO - Epoch(val) [5][ 460/6282] eta: 0:04:19 time: 0.0420 data_time: 0.0042 memory: 678 2022/12/03 19:52:20 - mmengine - INFO - Epoch(val) [5][ 480/6282] eta: 0:04:18 time: 0.0455 data_time: 0.0062 memory: 678 2022/12/03 19:52:21 - mmengine - INFO - Epoch(val) [5][ 500/6282] eta: 0:04:16 time: 0.0413 data_time: 0.0045 memory: 678 2022/12/03 19:52:22 - mmengine - INFO - Epoch(val) [5][ 520/6282] eta: 0:04:15 time: 0.0398 data_time: 0.0038 memory: 674 2022/12/03 19:52:23 - mmengine - INFO - Epoch(val) [5][ 540/6282] eta: 0:04:13 time: 0.0403 data_time: 0.0041 memory: 674 2022/12/03 19:52:23 - mmengine - INFO - Epoch(val) [5][ 560/6282] eta: 0:04:12 time: 0.0433 data_time: 0.0058 memory: 674 2022/12/03 19:52:24 - mmengine - INFO - Epoch(val) [5][ 580/6282] eta: 0:04:11 time: 0.0440 data_time: 0.0052 memory: 674 2022/12/03 19:52:25 - mmengine - INFO - Epoch(val) [5][ 600/6282] eta: 0:04:11 time: 0.0491 data_time: 0.0074 memory: 674 2022/12/03 19:52:26 - mmengine - INFO - Epoch(val) [5][ 620/6282] eta: 0:04:11 time: 0.0498 data_time: 0.0065 memory: 674 2022/12/03 19:52:27 - mmengine - INFO - Epoch(val) [5][ 640/6282] eta: 0:04:11 time: 0.0517 data_time: 0.0058 memory: 670 2022/12/03 19:52:29 - mmengine - INFO - Epoch(val) [5][ 660/6282] eta: 0:04:13 time: 0.0603 data_time: 0.0076 memory: 670 2022/12/03 19:52:30 - mmengine - INFO - Epoch(val) [5][ 680/6282] eta: 0:04:14 time: 0.0570 data_time: 0.0085 memory: 670 2022/12/03 19:52:31 - mmengine - INFO - Epoch(val) [5][ 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time: 0.0444 data_time: 0.0054 memory: 674 2022/12/03 19:52:40 - mmengine - INFO - Epoch(val) [5][ 880/6282] eta: 0:04:09 time: 0.0447 data_time: 0.0053 memory: 674 2022/12/03 19:52:40 - mmengine - INFO - Epoch(val) [5][ 900/6282] eta: 0:04:08 time: 0.0432 data_time: 0.0050 memory: 674 2022/12/03 19:52:41 - mmengine - INFO - Epoch(val) [5][ 920/6282] eta: 0:04:07 time: 0.0453 data_time: 0.0055 memory: 674 2022/12/03 19:52:42 - mmengine - INFO - Epoch(val) [5][ 940/6282] eta: 0:04:06 time: 0.0429 data_time: 0.0060 memory: 661 2022/12/03 19:52:43 - mmengine - INFO - Epoch(val) [5][ 960/6282] eta: 0:04:04 time: 0.0397 data_time: 0.0043 memory: 661 2022/12/03 19:52:44 - mmengine - INFO - Epoch(val) [5][ 980/6282] eta: 0:04:03 time: 0.0396 data_time: 0.0045 memory: 661 2022/12/03 19:52:45 - mmengine - INFO - Epoch(val) [5][1000/6282] eta: 0:04:01 time: 0.0400 data_time: 0.0054 memory: 661 2022/12/03 19:52:45 - mmengine - INFO - Epoch(val) [5][1020/6282] eta: 0:04:00 time: 0.0425 data_time: 0.0051 memory: 674 2022/12/03 19:52:46 - mmengine - INFO - Epoch(val) [5][1040/6282] eta: 0:03:59 time: 0.0426 data_time: 0.0047 memory: 674 2022/12/03 19:52:47 - mmengine - INFO - Epoch(val) [5][1060/6282] eta: 0:03:57 time: 0.0437 data_time: 0.0051 memory: 674 2022/12/03 19:52:48 - mmengine - INFO - Epoch(val) [5][1080/6282] eta: 0:03:57 time: 0.0469 data_time: 0.0052 memory: 674 2022/12/03 19:52:49 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:03:56 time: 0.0503 data_time: 0.0057 memory: 674 2022/12/03 19:52:50 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:03:56 time: 0.0513 data_time: 0.0087 memory: 674 2022/12/03 19:52:51 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:03:56 time: 0.0542 data_time: 0.0089 memory: 674 2022/12/03 19:52:52 - mmengine - INFO - Epoch(val) [5][1160/6282] eta: 0:03:55 time: 0.0542 data_time: 0.0086 memory: 674 2022/12/03 19:52:53 - mmengine - INFO - Epoch(val) [5][1180/6282] eta: 0:03:55 time: 0.0543 data_time: 0.0083 memory: 674 2022/12/03 19:52:55 - mmengine - INFO - Epoch(val) [5][1200/6282] eta: 0:03:56 time: 0.0605 data_time: 0.0105 memory: 674 2022/12/03 19:52:56 - mmengine - INFO - Epoch(val) [5][1220/6282] eta: 0:03:55 time: 0.0563 data_time: 0.0075 memory: 674 2022/12/03 19:52:57 - mmengine - INFO - Epoch(val) [5][1240/6282] eta: 0:03:56 time: 0.0603 data_time: 0.0072 memory: 732 2022/12/03 19:52:58 - mmengine - INFO - Epoch(val) [5][1260/6282] eta: 0:03:56 time: 0.0656 data_time: 0.0096 memory: 732 2022/12/03 19:53:00 - mmengine - INFO - Epoch(val) [5][1280/6282] eta: 0:03:56 time: 0.0615 data_time: 0.0110 memory: 732 2022/12/03 19:53:01 - mmengine - INFO - Epoch(val) [5][1300/6282] eta: 0:03:56 time: 0.0544 data_time: 0.0057 memory: 732 2022/12/03 19:53:02 - mmengine - INFO - Epoch(val) [5][1320/6282] eta: 0:03:55 time: 0.0519 data_time: 0.0049 memory: 732 2022/12/03 19:53:03 - mmengine - INFO - Epoch(val) [5][1340/6282] eta: 0:03:55 time: 0.0545 data_time: 0.0072 memory: 732 2022/12/03 19:53:04 - mmengine - INFO - Epoch(val) [5][1360/6282] eta: 0:03:54 time: 0.0472 data_time: 0.0041 memory: 732 2022/12/03 19:53:05 - mmengine - INFO - Epoch(val) [5][1380/6282] eta: 0:03:53 time: 0.0478 data_time: 0.0054 memory: 732 2022/12/03 19:53:06 - mmengine - INFO - Epoch(val) [5][1400/6282] eta: 0:03:52 time: 0.0459 data_time: 0.0043 memory: 732 2022/12/03 19:53:07 - mmengine - INFO - Epoch(val) [5][1420/6282] eta: 0:03:51 time: 0.0451 data_time: 0.0039 memory: 732 2022/12/03 19:53:07 - mmengine - INFO - Epoch(val) [5][1440/6282] eta: 0:03:50 time: 0.0445 data_time: 0.0045 memory: 732 2022/12/03 19:53:08 - mmengine - INFO - Epoch(val) [5][1460/6282] eta: 0:03:49 time: 0.0466 data_time: 0.0047 memory: 732 2022/12/03 19:53:09 - mmengine - INFO - Epoch(val) [5][1480/6282] eta: 0:03:47 time: 0.0428 data_time: 0.0040 memory: 732 2022/12/03 19:53:10 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:03:46 time: 0.0432 data_time: 0.0038 memory: 732 2022/12/03 19:53:11 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:03:45 time: 0.0457 data_time: 0.0040 memory: 819 2022/12/03 19:53:12 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:03:44 time: 0.0497 data_time: 0.0034 memory: 819 2022/12/03 19:53:13 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:03:43 time: 0.0492 data_time: 0.0041 memory: 819 2022/12/03 19:53:14 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:03:43 time: 0.0499 data_time: 0.0032 memory: 819 2022/12/03 19:53:15 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:03:42 time: 0.0491 data_time: 0.0044 memory: 819 2022/12/03 19:53:16 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:03:41 time: 0.0500 data_time: 0.0035 memory: 819 2022/12/03 19:53:17 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:03:40 time: 0.0437 data_time: 0.0042 memory: 732 2022/12/03 19:53:18 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:03:39 time: 0.0449 data_time: 0.0049 memory: 732 2022/12/03 19:53:19 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:03:38 time: 0.0529 data_time: 0.0063 memory: 732 2022/12/03 19:53:20 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:03:37 time: 0.0532 data_time: 0.0063 memory: 732 2022/12/03 19:53:21 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:03:37 time: 0.0532 data_time: 0.0063 memory: 732 2022/12/03 19:53:22 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:03:36 time: 0.0514 data_time: 0.0060 memory: 732 2022/12/03 19:53:23 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:03:35 time: 0.0554 data_time: 0.0093 memory: 732 2022/12/03 19:53:24 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:03:35 time: 0.0493 data_time: 0.0065 memory: 732 2022/12/03 19:53:25 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:03:34 time: 0.0539 data_time: 0.0077 memory: 732 2022/12/03 19:53:26 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:03:33 time: 0.0510 data_time: 0.0062 memory: 732 2022/12/03 19:53:27 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:03:33 time: 0.0564 data_time: 0.0068 memory: 732 2022/12/03 19:53:28 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:03:32 time: 0.0536 data_time: 0.0073 memory: 732 2022/12/03 19:53:29 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:03:31 time: 0.0481 data_time: 0.0049 memory: 732 2022/12/03 19:53:31 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:03:30 time: 0.0526 data_time: 0.0069 memory: 732 2022/12/03 19:53:31 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:03:29 time: 0.0489 data_time: 0.0044 memory: 732 2022/12/03 19:53:32 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:03:28 time: 0.0462 data_time: 0.0039 memory: 732 2022/12/03 19:53:33 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:03:27 time: 0.0462 data_time: 0.0062 memory: 678 2022/12/03 19:53:34 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:03:26 time: 0.0440 data_time: 0.0069 memory: 678 2022/12/03 19:53:35 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:03:25 time: 0.0412 data_time: 0.0048 memory: 678 2022/12/03 19:53:36 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:03:24 time: 0.0437 data_time: 0.0056 memory: 678 2022/12/03 19:53:37 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:03:23 time: 0.0468 data_time: 0.0060 memory: 678 2022/12/03 19:53:38 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:03:21 time: 0.0403 data_time: 0.0052 memory: 678 2022/12/03 19:53:39 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:03:20 time: 0.0443 data_time: 0.0054 memory: 678 2022/12/03 19:53:39 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:03:19 time: 0.0422 data_time: 0.0045 memory: 678 2022/12/03 19:53:40 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:03:18 time: 0.0412 data_time: 0.0054 memory: 678 2022/12/03 19:53:41 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:03:17 time: 0.0448 data_time: 0.0064 memory: 678 2022/12/03 19:53:42 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:03:16 time: 0.0431 data_time: 0.0052 memory: 674 2022/12/03 19:53:43 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:03:15 time: 0.0468 data_time: 0.0058 memory: 674 2022/12/03 19:53:44 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:03:14 time: 0.0439 data_time: 0.0051 memory: 674 2022/12/03 19:53:45 - mmengine - INFO - Epoch(val) [5][2220/6282] eta: 0:03:13 time: 0.0451 data_time: 0.0064 memory: 674 2022/12/03 19:53:46 - mmengine - INFO - Epoch(val) [5][2240/6282] eta: 0:03:12 time: 0.0462 data_time: 0.0071 memory: 674 2022/12/03 19:53:47 - mmengine - INFO - Epoch(val) [5][2260/6282] eta: 0:03:11 time: 0.0443 data_time: 0.0064 memory: 678 2022/12/03 19:53:47 - mmengine - INFO - Epoch(val) [5][2280/6282] eta: 0:03:09 time: 0.0440 data_time: 0.0044 memory: 678 2022/12/03 19:53:48 - mmengine - INFO - Epoch(val) [5][2300/6282] eta: 0:03:08 time: 0.0433 data_time: 0.0066 memory: 678 2022/12/03 19:53:49 - mmengine - INFO - Epoch(val) [5][2320/6282] eta: 0:03:07 time: 0.0456 data_time: 0.0053 memory: 678 2022/12/03 19:53:50 - mmengine - INFO - Epoch(val) [5][2340/6282] eta: 0:03:06 time: 0.0503 data_time: 0.0092 memory: 678 2022/12/03 19:53:51 - mmengine - INFO - Epoch(val) [5][2360/6282] eta: 0:03:06 time: 0.0541 data_time: 0.0119 memory: 674 2022/12/03 19:53:52 - mmengine - INFO - Epoch(val) [5][2380/6282] eta: 0:03:05 time: 0.0485 data_time: 0.0050 memory: 674 2022/12/03 19:53:53 - mmengine - INFO - Epoch(val) [5][2400/6282] eta: 0:03:04 time: 0.0497 data_time: 0.0063 memory: 674 2022/12/03 19:53:54 - mmengine - INFO - Epoch(val) [5][2420/6282] eta: 0:03:03 time: 0.0474 data_time: 0.0070 memory: 674 2022/12/03 19:53:55 - mmengine - INFO - Epoch(val) [5][2440/6282] eta: 0:03:02 time: 0.0452 data_time: 0.0058 memory: 674 2022/12/03 19:53:56 - mmengine - INFO - Epoch(val) [5][2460/6282] eta: 0:03:01 time: 0.0512 data_time: 0.0065 memory: 732 2022/12/03 19:53:57 - mmengine - INFO - Epoch(val) [5][2480/6282] eta: 0:03:00 time: 0.0497 data_time: 0.0053 memory: 732 2022/12/03 19:53:58 - mmengine - INFO - Epoch(val) [5][2500/6282] eta: 0:02:59 time: 0.0496 data_time: 0.0062 memory: 732 2022/12/03 19:53:59 - mmengine - INFO - Epoch(val) [5][2520/6282] eta: 0:02:59 time: 0.0501 data_time: 0.0033 memory: 732 2022/12/03 19:54:00 - mmengine - INFO - Epoch(val) [5][2540/6282] eta: 0:02:58 time: 0.0534 data_time: 0.0065 memory: 732 2022/12/03 19:54:01 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:02:57 time: 0.0516 data_time: 0.0056 memory: 732 2022/12/03 19:54:02 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:02:56 time: 0.0507 data_time: 0.0067 memory: 732 2022/12/03 19:54:03 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:02:55 time: 0.0507 data_time: 0.0056 memory: 732 2022/12/03 19:54:04 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:02:54 time: 0.0495 data_time: 0.0044 memory: 732 2022/12/03 19:54:05 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:02:53 time: 0.0507 data_time: 0.0062 memory: 732 2022/12/03 19:54:07 - mmengine - INFO - Epoch(val) 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0:02:45 time: 0.0392 data_time: 0.0040 memory: 678 2022/12/03 19:54:15 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:02:44 time: 0.0386 data_time: 0.0036 memory: 678 2022/12/03 19:54:16 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:02:43 time: 0.0450 data_time: 0.0054 memory: 732 2022/12/03 19:54:17 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:02:42 time: 0.0489 data_time: 0.0076 memory: 732 2022/12/03 19:54:18 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:02:41 time: 0.0511 data_time: 0.0046 memory: 732 2022/12/03 19:54:19 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:02:40 time: 0.0458 data_time: 0.0045 memory: 732 2022/12/03 19:54:20 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:02:39 time: 0.0438 data_time: 0.0053 memory: 701 2022/12/03 19:54:20 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:02:38 time: 0.0435 data_time: 0.0041 memory: 701 2022/12/03 19:54:21 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:02:37 time: 0.0428 data_time: 0.0068 memory: 701 2022/12/03 19:54:22 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:02:35 time: 0.0400 data_time: 0.0040 memory: 701 2022/12/03 19:54:23 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:02:35 time: 0.0458 data_time: 0.0040 memory: 732 2022/12/03 19:54:24 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:02:34 time: 0.0452 data_time: 0.0038 memory: 732 2022/12/03 19:54:25 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:02:33 time: 0.0475 data_time: 0.0043 memory: 732 2022/12/03 19:54:26 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:02:32 time: 0.0477 data_time: 0.0053 memory: 732 2022/12/03 19:54:27 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:02:31 time: 0.0444 data_time: 0.0050 memory: 732 2022/12/03 19:54:28 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:02:30 time: 0.0416 data_time: 0.0038 memory: 678 2022/12/03 19:54:28 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:02:28 time: 0.0397 data_time: 0.0050 memory: 678 2022/12/03 19:54:29 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:02:27 time: 0.0445 data_time: 0.0045 memory: 678 2022/12/03 19:54:30 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:02:26 time: 0.0436 data_time: 0.0067 memory: 678 2022/12/03 19:54:31 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:02:25 time: 0.0469 data_time: 0.0065 memory: 732 2022/12/03 19:54:32 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:02:24 time: 0.0449 data_time: 0.0057 memory: 732 2022/12/03 19:54:33 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:02:23 time: 0.0463 data_time: 0.0054 memory: 732 2022/12/03 19:54:34 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:02:23 time: 0.0477 data_time: 0.0038 memory: 732 2022/12/03 19:54:35 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:02:22 time: 0.0452 data_time: 0.0046 memory: 732 2022/12/03 19:54:36 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:02:21 time: 0.0463 data_time: 0.0046 memory: 732 2022/12/03 19:54:37 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:02:20 time: 0.0448 data_time: 0.0031 memory: 732 2022/12/03 19:54:38 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:02:19 time: 0.0479 data_time: 0.0070 memory: 732 2022/12/03 19:54:39 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:02:18 time: 0.0574 data_time: 0.0140 memory: 732 2022/12/03 19:54:40 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:02:17 time: 0.0469 data_time: 0.0058 memory: 732 2022/12/03 19:54:41 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:02:16 time: 0.0425 data_time: 0.0048 memory: 674 2022/12/03 19:54:41 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:02:15 time: 0.0433 data_time: 0.0071 memory: 674 2022/12/03 19:54:42 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:02:14 time: 0.0393 data_time: 0.0054 memory: 674 2022/12/03 19:54:43 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:02:13 time: 0.0437 data_time: 0.0049 memory: 674 2022/12/03 19:54:44 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:02:12 time: 0.0424 data_time: 0.0044 memory: 674 2022/12/03 19:54:45 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:02:11 time: 0.0407 data_time: 0.0046 memory: 674 2022/12/03 19:54:46 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:02:10 time: 0.0433 data_time: 0.0047 memory: 674 2022/12/03 19:54:46 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:02:09 time: 0.0401 data_time: 0.0049 memory: 674 2022/12/03 19:54:47 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:02:08 time: 0.0406 data_time: 0.0033 memory: 674 2022/12/03 19:54:48 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:02:07 time: 0.0466 data_time: 0.0041 memory: 715 2022/12/03 19:54:49 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:02:06 time: 0.0476 data_time: 0.0059 memory: 715 2022/12/03 19:54:50 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:02:05 time: 0.0455 data_time: 0.0064 memory: 715 2022/12/03 19:54:51 - mmengine - INFO - Epoch(val) 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0:01:56 time: 0.0447 data_time: 0.0041 memory: 732 2022/12/03 19:54:59 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:01:55 time: 0.0428 data_time: 0.0030 memory: 732 2022/12/03 19:55:00 - mmengine - INFO - Epoch(val) [5][3840/6282] eta: 0:01:54 time: 0.0454 data_time: 0.0050 memory: 732 2022/12/03 19:55:01 - mmengine - INFO - Epoch(val) [5][3860/6282] eta: 0:01:53 time: 0.0457 data_time: 0.0033 memory: 732 2022/12/03 19:55:02 - mmengine - INFO - Epoch(val) [5][3880/6282] eta: 0:01:52 time: 0.0453 data_time: 0.0038 memory: 732 2022/12/03 19:55:03 - mmengine - INFO - Epoch(val) [5][3900/6282] eta: 0:01:51 time: 0.0469 data_time: 0.0045 memory: 732 2022/12/03 19:55:04 - mmengine - INFO - Epoch(val) [5][3920/6282] eta: 0:01:50 time: 0.0477 data_time: 0.0046 memory: 732 2022/12/03 19:55:05 - mmengine - INFO - Epoch(val) [5][3940/6282] eta: 0:01:50 time: 0.0488 data_time: 0.0053 memory: 732 2022/12/03 19:55:06 - mmengine - INFO - Epoch(val) [5][3960/6282] eta: 0:01:49 time: 0.0441 data_time: 0.0037 memory: 732 2022/12/03 19:55:07 - mmengine - INFO - Epoch(val) [5][3980/6282] eta: 0:01:48 time: 0.0468 data_time: 0.0042 memory: 732 2022/12/03 19:55:08 - mmengine - INFO - Epoch(val) [5][4000/6282] eta: 0:01:47 time: 0.0457 data_time: 0.0048 memory: 732 2022/12/03 19:55:09 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:01:46 time: 0.0457 data_time: 0.0048 memory: 732 2022/12/03 19:55:09 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:01:45 time: 0.0467 data_time: 0.0048 memory: 811 2022/12/03 19:55:10 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:01:44 time: 0.0489 data_time: 0.0033 memory: 811 2022/12/03 19:55:11 - mmengine - INFO - Epoch(val) [5][4080/6282] eta: 0:01:43 time: 0.0501 data_time: 0.0042 memory: 811 2022/12/03 19:55:12 - mmengine - INFO - Epoch(val) [5][4100/6282] eta: 0:01:42 time: 0.0500 data_time: 0.0046 memory: 811 2022/12/03 19:55:13 - mmengine - INFO - Epoch(val) [5][4120/6282] eta: 0:01:41 time: 0.0501 data_time: 0.0043 memory: 811 2022/12/03 19:55:14 - mmengine - INFO - Epoch(val) [5][4140/6282] eta: 0:01:40 time: 0.0459 data_time: 0.0044 memory: 811 2022/12/03 19:55:15 - mmengine - INFO - Epoch(val) [5][4160/6282] eta: 0:01:39 time: 0.0415 data_time: 0.0040 memory: 674 2022/12/03 19:55:16 - mmengine - INFO - Epoch(val) [5][4180/6282] eta: 0:01:38 time: 0.0397 data_time: 0.0042 memory: 674 2022/12/03 19:55:17 - mmengine - INFO - Epoch(val) [5][4200/6282] eta: 0:01:37 time: 0.0455 data_time: 0.0069 memory: 674 2022/12/03 19:55:18 - mmengine - INFO - Epoch(val) [5][4220/6282] eta: 0:01:36 time: 0.0407 data_time: 0.0053 memory: 674 2022/12/03 19:55:19 - mmengine - INFO - Epoch(val) [5][4240/6282] eta: 0:01:35 time: 0.0443 data_time: 0.0052 memory: 674 2022/12/03 19:55:20 - mmengine - INFO - Epoch(val) [5][4260/6282] eta: 0:01:34 time: 0.0430 data_time: 0.0059 memory: 672 2022/12/03 19:55:20 - mmengine - INFO - Epoch(val) [5][4280/6282] eta: 0:01:33 time: 0.0414 data_time: 0.0052 memory: 672 2022/12/03 19:55:21 - mmengine - INFO - Epoch(val) [5][4300/6282] eta: 0:01:32 time: 0.0401 data_time: 0.0055 memory: 672 2022/12/03 19:55:22 - mmengine - INFO - Epoch(val) [5][4320/6282] eta: 0:01:31 time: 0.0404 data_time: 0.0052 memory: 672 2022/12/03 19:55:23 - mmengine - INFO - Epoch(val) [5][4340/6282] eta: 0:01:30 time: 0.0393 data_time: 0.0049 memory: 672 2022/12/03 19:55:24 - mmengine - INFO - Epoch(val) [5][4360/6282] eta: 0:01:29 time: 0.0444 data_time: 0.0049 memory: 732 2022/12/03 19:55:25 - mmengine - INFO - Epoch(val) [5][4380/6282] eta: 0:01:28 time: 0.0463 data_time: 0.0053 memory: 732 2022/12/03 19:55:26 - mmengine - INFO - Epoch(val) [5][4400/6282] eta: 0:01:27 time: 0.0462 data_time: 0.0037 memory: 732 2022/12/03 19:55:26 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:01:26 time: 0.0432 data_time: 0.0037 memory: 732 2022/12/03 19:55:27 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:01:26 time: 0.0459 data_time: 0.0047 memory: 739 2022/12/03 19:55:28 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:01:25 time: 0.0470 data_time: 0.0034 memory: 739 2022/12/03 19:55:29 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:01:24 time: 0.0455 data_time: 0.0037 memory: 739 2022/12/03 19:55:30 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:01:23 time: 0.0460 data_time: 0.0042 memory: 739 2022/12/03 19:55:31 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:01:22 time: 0.0451 data_time: 0.0056 memory: 739 2022/12/03 19:55:32 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:21 time: 0.0432 data_time: 0.0064 memory: 678 2022/12/03 19:55:33 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:20 time: 0.0394 data_time: 0.0049 memory: 678 2022/12/03 19:55:33 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:19 time: 0.0412 data_time: 0.0052 memory: 678 2022/12/03 19:55:34 - mmengine - INFO - Epoch(val) [5][4600/6282] eta: 0:01:18 time: 0.0399 data_time: 0.0042 memory: 678 2022/12/03 19:55:35 - mmengine - INFO - Epoch(val) 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0:01:09 time: 0.0424 data_time: 0.0046 memory: 698 2022/12/03 19:55:43 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:08 time: 0.0430 data_time: 0.0044 memory: 698 2022/12/03 19:55:44 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:01:07 time: 0.0431 data_time: 0.0049 memory: 732 2022/12/03 19:55:45 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:07 time: 0.0476 data_time: 0.0041 memory: 732 2022/12/03 19:55:46 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:06 time: 0.0484 data_time: 0.0068 memory: 732 2022/12/03 19:55:47 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:01:05 time: 0.0468 data_time: 0.0053 memory: 732 2022/12/03 19:55:48 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:04 time: 0.0489 data_time: 0.0055 memory: 732 2022/12/03 19:55:49 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:03 time: 0.0487 data_time: 0.0059 memory: 735 2022/12/03 19:55:50 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:01:02 time: 0.0489 data_time: 0.0036 memory: 735 2022/12/03 19:55:51 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:01 time: 0.0459 data_time: 0.0045 memory: 735 2022/12/03 19:55:52 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:00 time: 0.0465 data_time: 0.0048 memory: 735 2022/12/03 19:55:53 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:00:59 time: 0.0476 data_time: 0.0050 memory: 735 2022/12/03 19:55:53 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:00:58 time: 0.0441 data_time: 0.0040 memory: 735 2022/12/03 19:55:54 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:00:57 time: 0.0397 data_time: 0.0035 memory: 678 2022/12/03 19:55:55 - mmengine - INFO - Epoch(val) [5][5060/6282] eta: 0:00:56 time: 0.0422 data_time: 0.0060 memory: 678 2022/12/03 19:55:56 - mmengine - INFO - Epoch(val) [5][5080/6282] eta: 0:00:55 time: 0.0440 data_time: 0.0049 memory: 678 2022/12/03 19:55:57 - mmengine - INFO - Epoch(val) [5][5100/6282] eta: 0:00:54 time: 0.0425 data_time: 0.0042 memory: 678 2022/12/03 19:55:58 - mmengine - INFO - Epoch(val) [5][5120/6282] eta: 0:00:53 time: 0.0433 data_time: 0.0044 memory: 678 2022/12/03 19:55:59 - mmengine - INFO - Epoch(val) [5][5140/6282] eta: 0:00:52 time: 0.0401 data_time: 0.0043 memory: 674 2022/12/03 19:55:59 - mmengine - INFO - Epoch(val) [5][5160/6282] eta: 0:00:52 time: 0.0453 data_time: 0.0077 memory: 674 2022/12/03 19:56:00 - mmengine - INFO - Epoch(val) [5][5180/6282] eta: 0:00:51 time: 0.0426 data_time: 0.0052 memory: 674 2022/12/03 19:56:01 - mmengine - INFO - Epoch(val) [5][5200/6282] eta: 0:00:50 time: 0.0429 data_time: 0.0043 memory: 674 2022/12/03 19:56:02 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:00:49 time: 0.0435 data_time: 0.0043 memory: 674 2022/12/03 19:56:03 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:00:48 time: 0.0429 data_time: 0.0048 memory: 672 2022/12/03 19:56:04 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:00:47 time: 0.0441 data_time: 0.0048 memory: 672 2022/12/03 19:56:05 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:00:46 time: 0.0420 data_time: 0.0036 memory: 672 2022/12/03 19:56:06 - mmengine - INFO - Epoch(val) [5][5300/6282] eta: 0:00:45 time: 0.0477 data_time: 0.0073 memory: 672 2022/12/03 19:56:06 - mmengine - INFO - Epoch(val) [5][5320/6282] eta: 0:00:44 time: 0.0415 data_time: 0.0057 memory: 674 2022/12/03 19:56:07 - mmengine - INFO - Epoch(val) [5][5340/6282] eta: 0:00:43 time: 0.0416 data_time: 0.0053 memory: 674 2022/12/03 19:56:08 - mmengine - INFO - Epoch(val) [5][5360/6282] eta: 0:00:42 time: 0.0413 data_time: 0.0049 memory: 674 2022/12/03 19:56:09 - mmengine - INFO - Epoch(val) [5][5380/6282] eta: 0:00:41 time: 0.0401 data_time: 0.0050 memory: 674 2022/12/03 19:56:10 - mmengine - INFO - Epoch(val) [5][5400/6282] eta: 0:00:40 time: 0.0400 data_time: 0.0049 memory: 674 2022/12/03 19:56:11 - mmengine - INFO - Epoch(val) [5][5420/6282] eta: 0:00:39 time: 0.0422 data_time: 0.0053 memory: 674 2022/12/03 19:56:11 - mmengine - INFO - Epoch(val) [5][5440/6282] eta: 0:00:38 time: 0.0432 data_time: 0.0055 memory: 674 2022/12/03 19:56:12 - mmengine - INFO - Epoch(val) [5][5460/6282] eta: 0:00:37 time: 0.0425 data_time: 0.0043 memory: 674 2022/12/03 19:56:13 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:00:37 time: 0.0443 data_time: 0.0070 memory: 674 2022/12/03 19:56:14 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:00:36 time: 0.0435 data_time: 0.0040 memory: 674 2022/12/03 19:56:15 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:35 time: 0.0427 data_time: 0.0053 memory: 694 2022/12/03 19:56:16 - mmengine - INFO - Epoch(val) [5][5540/6282] eta: 0:00:34 time: 0.0436 data_time: 0.0053 memory: 694 2022/12/03 19:56:17 - mmengine - INFO - Epoch(val) [5][5560/6282] eta: 0:00:33 time: 0.0462 data_time: 0.0059 memory: 694 2022/12/03 19:56:18 - mmengine - INFO - Epoch(val) [5][5580/6282] eta: 0:00:32 time: 0.0469 data_time: 0.0053 memory: 694 2022/12/03 19:56:19 - mmengine - INFO - Epoch(val) 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0:00:24 time: 0.0465 data_time: 0.0059 memory: 707 2022/12/03 19:56:26 - mmengine - INFO - Epoch(val) [5][5780/6282] eta: 0:00:23 time: 0.0406 data_time: 0.0042 memory: 707 2022/12/03 19:56:27 - mmengine - INFO - Epoch(val) [5][5800/6282] eta: 0:00:22 time: 0.0421 data_time: 0.0053 memory: 707 2022/12/03 19:56:28 - mmengine - INFO - Epoch(val) [5][5820/6282] eta: 0:00:21 time: 0.0442 data_time: 0.0060 memory: 707 2022/12/03 19:56:29 - mmengine - INFO - Epoch(val) [5][5840/6282] eta: 0:00:20 time: 0.0429 data_time: 0.0051 memory: 694 2022/12/03 19:56:29 - mmengine - INFO - Epoch(val) [5][5860/6282] eta: 0:00:19 time: 0.0402 data_time: 0.0039 memory: 694 2022/12/03 19:56:30 - mmengine - INFO - Epoch(val) [5][5880/6282] eta: 0:00:18 time: 0.0393 data_time: 0.0036 memory: 694 2022/12/03 19:56:31 - mmengine - INFO - Epoch(val) [5][5900/6282] eta: 0:00:17 time: 0.0410 data_time: 0.0045 memory: 694 2022/12/03 19:56:32 - mmengine - INFO - Epoch(val) [5][5920/6282] eta: 0:00:16 time: 0.0389 data_time: 0.0049 memory: 694 2022/12/03 19:56:33 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:15 time: 0.0336 data_time: 0.0036 memory: 674 2022/12/03 19:56:33 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:14 time: 0.0302 data_time: 0.0018 memory: 674 2022/12/03 19:56:34 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:13 time: 0.0286 data_time: 0.0017 memory: 674 2022/12/03 19:56:34 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:12 time: 0.0323 data_time: 0.0019 memory: 732 2022/12/03 19:56:35 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:11 time: 0.0334 data_time: 0.0019 memory: 732 2022/12/03 19:56:36 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:11 time: 0.0337 data_time: 0.0020 memory: 732 2022/12/03 19:56:36 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:10 time: 0.0337 data_time: 0.0020 memory: 732 2022/12/03 19:56:37 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:09 time: 0.0342 data_time: 0.0020 memory: 732 2022/12/03 19:56:38 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:08 time: 0.0346 data_time: 0.0019 memory: 732 2022/12/03 19:56:38 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:07 time: 0.0337 data_time: 0.0019 memory: 732 2022/12/03 19:56:39 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:06 time: 0.0334 data_time: 0.0019 memory: 732 2022/12/03 19:56:40 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:05 time: 0.0330 data_time: 0.0018 memory: 732 2022/12/03 19:56:40 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:04 time: 0.0333 data_time: 0.0018 memory: 732 2022/12/03 19:56:41 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:03 time: 0.0329 data_time: 0.0017 memory: 732 2022/12/03 19:56:42 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:02 time: 0.0330 data_time: 0.0018 memory: 732 2022/12/03 19:56:42 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:01 time: 0.0325 data_time: 0.0015 memory: 732 2022/12/03 19:56:43 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:00 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 19:56:44 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0321 data_time: 0.0014 memory: 732 2022/12/03 20:00:46 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.2710 2022/12/03 20:00:53 - mmengine - INFO - Epoch(train) [6][ 20/4451] lr: 6.9057e-02 eta: 1:58:42 time: 0.3480 data_time: 0.0370 memory: 8510 grad_norm: 0.1626 loss: 0.0412 recall@thr=0.5: 0.5920 prec@thr=0.5: 0.5747 recall@top3: 0.7471 prec@top3: 0.5402 recall@top5: 0.8966 prec@top5: 0.4000 loss_action_cls: 0.0412 2022/12/03 20:01:00 - mmengine - INFO - Epoch(train) [6][ 40/4451] lr: 6.8975e-02 eta: 1:58:35 time: 0.3191 data_time: 0.0097 memory: 8510 grad_norm: 0.1718 loss: 0.0425 recall@thr=0.5: 0.4840 prec@thr=0.5: 0.7840 recall@top3: 0.7852 prec@top3: 0.7407 recall@top5: 0.9025 prec@top5: 0.5259 loss_action_cls: 0.0425 2022/12/03 20:01:06 - mmengine - INFO - Epoch(train) [6][ 60/4451] lr: 6.8893e-02 eta: 1:58:29 time: 0.3183 data_time: 0.0102 memory: 8510 grad_norm: 0.1658 loss: 0.0407 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.5794 recall@top3: 0.7222 prec@top3: 0.5238 recall@top5: 0.9524 prec@top5: 0.3905 loss_action_cls: 0.0407 2022/12/03 20:01:13 - mmengine - INFO - Epoch(train) [6][ 80/4451] lr: 6.8812e-02 eta: 1:58:22 time: 0.3185 data_time: 0.0100 memory: 8510 grad_norm: 0.1656 loss: 0.0405 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7778 recall@top3: 0.7500 prec@top3: 0.6349 recall@top5: 0.8611 prec@top5: 0.4476 loss_action_cls: 0.0405 2022/12/03 20:01:19 - mmengine - INFO - Epoch(train) [6][ 100/4451] lr: 6.8730e-02 eta: 1:58:16 time: 0.3197 data_time: 0.0116 memory: 8510 grad_norm: 0.1698 loss: 0.0416 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.8088 recall@top3: 0.7500 prec@top3: 0.6863 recall@top5: 0.9216 prec@top5: 0.5176 loss_action_cls: 0.0416 2022/12/03 20:01:25 - mmengine - INFO - Epoch(train) [6][ 120/4451] lr: 6.8648e-02 eta: 1:58:10 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1660 loss: 0.0429 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.7290 recall@top3: 0.7754 prec@top3: 0.5942 recall@top5: 0.9275 prec@top5: 0.4522 loss_action_cls: 0.0429 2022/12/03 20:01:32 - mmengine - INFO - Epoch(train) [6][ 140/4451] lr: 6.8566e-02 eta: 1:58:03 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1605 loss: 0.0454 recall@thr=0.5: 0.6929 prec@thr=0.5: 0.8063 recall@top3: 0.8222 prec@top3: 0.7302 recall@top5: 0.9246 prec@top5: 0.5143 loss_action_cls: 0.0454 2022/12/03 20:01:38 - mmengine - INFO - Epoch(train) [6][ 160/4451] lr: 6.8484e-02 eta: 1:57:57 time: 0.3207 data_time: 0.0111 memory: 8510 grad_norm: 0.1652 loss: 0.0429 recall@thr=0.5: 0.7233 prec@thr=0.5: 0.8444 recall@top3: 0.8344 prec@top3: 0.7111 recall@top5: 0.9700 prec@top5: 0.5067 loss_action_cls: 0.0429 2022/12/03 20:01:45 - mmengine - INFO - Epoch(train) [6][ 180/4451] lr: 6.8402e-02 eta: 1:57:50 time: 0.3203 data_time: 0.0120 memory: 8510 grad_norm: 0.1591 loss: 0.0452 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7889 recall@top3: 0.7944 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0452 2022/12/03 20:01:51 - mmengine - INFO - Epoch(train) [6][ 200/4451] lr: 6.8320e-02 eta: 1:57:44 time: 0.3195 data_time: 0.0098 memory: 8510 grad_norm: 0.1642 loss: 0.0441 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.8133 recall@top3: 0.8000 prec@top3: 0.7067 recall@top5: 0.9267 prec@top5: 0.5120 loss_action_cls: 0.0441 2022/12/03 20:01:57 - mmengine - INFO - Epoch(train) [6][ 220/4451] lr: 6.8238e-02 eta: 1:57:38 time: 0.3212 data_time: 0.0106 memory: 8510 grad_norm: 0.1672 loss: 0.0449 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.9286 recall@top3: 0.8889 prec@top3: 0.7460 recall@top5: 0.9127 prec@top5: 0.4667 loss_action_cls: 0.0449 2022/12/03 20:02:04 - mmengine - INFO - Epoch(train) [6][ 240/4451] lr: 6.8156e-02 eta: 1:57:31 time: 0.3187 data_time: 0.0094 memory: 8510 grad_norm: 0.1635 loss: 0.0383 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6377 recall@top3: 0.6710 prec@top3: 0.5652 recall@top5: 0.8971 prec@top5: 0.4522 loss_action_cls: 0.0383 2022/12/03 20:02:10 - mmengine - INFO - Epoch(train) [6][ 260/4451] lr: 6.8074e-02 eta: 1:57:25 time: 0.3193 data_time: 0.0102 memory: 8510 grad_norm: 0.1612 loss: 0.0422 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7000 recall@top3: 0.7500 prec@top3: 0.5467 recall@top5: 0.8633 prec@top5: 0.3920 loss_action_cls: 0.0422 2022/12/03 20:02:17 - mmengine - INFO - Epoch(train) [6][ 280/4451] lr: 6.7991e-02 eta: 1:57:18 time: 0.3192 data_time: 0.0098 memory: 8510 grad_norm: 0.1678 loss: 0.0440 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8889 recall@top3: 0.8148 prec@top3: 0.5679 recall@top5: 0.8951 prec@top5: 0.3852 loss_action_cls: 0.0440 2022/12/03 20:02:23 - mmengine - INFO - Epoch(train) [6][ 300/4451] lr: 6.7909e-02 eta: 1:57:12 time: 0.3204 data_time: 0.0113 memory: 8510 grad_norm: 0.1659 loss: 0.0430 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.6471 recall@top3: 0.6922 prec@top3: 0.6078 recall@top5: 0.9882 prec@top5: 0.4824 loss_action_cls: 0.0430 2022/12/03 20:02:29 - mmengine - INFO - Epoch(train) [6][ 320/4451] lr: 6.7827e-02 eta: 1:57:05 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1670 loss: 0.0439 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.7197 recall@top3: 0.8485 prec@top3: 0.6515 recall@top5: 0.9091 prec@top5: 0.4273 loss_action_cls: 0.0439 2022/12/03 20:02:36 - mmengine - INFO - Epoch(train) [6][ 340/4451] lr: 6.7744e-02 eta: 1:56:59 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.1656 loss: 0.0410 recall@thr=0.5: 0.7579 prec@thr=0.5: 0.8690 recall@top3: 0.8333 prec@top3: 0.8413 recall@top5: 0.9206 prec@top5: 0.5619 loss_action_cls: 0.0410 2022/12/03 20:02:42 - mmengine - INFO - Epoch(train) [6][ 360/4451] lr: 6.7662e-02 eta: 1:56:53 time: 0.3201 data_time: 0.0096 memory: 8510 grad_norm: 0.1720 loss: 0.0439 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.6884 recall@top3: 0.7645 prec@top3: 0.5652 recall@top5: 0.9783 prec@top5: 0.4348 loss_action_cls: 0.0439 2022/12/03 20:02:49 - mmengine - INFO - Epoch(train) [6][ 380/4451] lr: 6.7579e-02 eta: 1:56:46 time: 0.3209 data_time: 0.0097 memory: 8510 grad_norm: 0.1662 loss: 0.0434 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.6094 recall@top3: 0.8750 prec@top3: 0.7708 recall@top5: 0.9583 prec@top5: 0.5125 loss_action_cls: 0.0434 2022/12/03 20:02:55 - mmengine - INFO - Epoch(train) [6][ 400/4451] lr: 6.7497e-02 eta: 1:56:40 time: 0.3190 data_time: 0.0096 memory: 8510 grad_norm: 0.1724 loss: 0.0418 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.8269 recall@top3: 0.8654 prec@top3: 0.7821 recall@top5: 0.9615 prec@top5: 0.5308 loss_action_cls: 0.0418 2022/12/03 20:03:01 - mmengine - INFO - Epoch(train) [6][ 420/4451] lr: 6.7414e-02 eta: 1:56:33 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1622 loss: 0.0393 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.4683 recall@top3: 0.7143 prec@top3: 0.4444 recall@top5: 0.9365 prec@top5: 0.3714 loss_action_cls: 0.0393 2022/12/03 20:03:08 - mmengine - INFO - Epoch(train) [6][ 440/4451] lr: 6.7331e-02 eta: 1:56:27 time: 0.3202 data_time: 0.0117 memory: 8510 grad_norm: 0.1692 loss: 0.0432 recall@thr=0.5: 0.6023 prec@thr=0.5: 0.7197 recall@top3: 0.8106 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0432 2022/12/03 20:03:14 - mmengine - INFO - Epoch(train) [6][ 460/4451] lr: 6.7248e-02 eta: 1:56:21 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.1602 loss: 0.0493 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7500 recall@top3: 0.7240 prec@top3: 0.6667 recall@top5: 0.8802 prec@top5: 0.5000 loss_action_cls: 0.0493 2022/12/03 20:03:21 - mmengine - INFO - Epoch(train) [6][ 480/4451] lr: 6.7165e-02 eta: 1:56:14 time: 0.3197 data_time: 0.0097 memory: 8510 grad_norm: 0.1700 loss: 0.0452 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.6228 recall@top3: 0.7719 prec@top3: 0.5965 recall@top5: 0.9825 prec@top5: 0.4842 loss_action_cls: 0.0452 2022/12/03 20:03:27 - mmengine - INFO - Epoch(train) [6][ 500/4451] lr: 6.7083e-02 eta: 1:56:08 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1654 loss: 0.0385 recall@thr=0.5: 0.4621 prec@thr=0.5: 0.5909 recall@top3: 0.7273 prec@top3: 0.5152 recall@top5: 0.7576 prec@top5: 0.3273 loss_action_cls: 0.0385 2022/12/03 20:03:33 - mmengine - INFO - Epoch(train) [6][ 520/4451] lr: 6.7000e-02 eta: 1:56:01 time: 0.3210 data_time: 0.0097 memory: 8510 grad_norm: 0.1736 loss: 0.0413 recall@thr=0.5: 0.8840 prec@thr=0.5: 0.9097 recall@top3: 0.8965 prec@top3: 0.7639 recall@top5: 0.9688 prec@top5: 0.5167 loss_action_cls: 0.0413 2022/12/03 20:03:40 - mmengine - INFO - Epoch(train) [6][ 540/4451] lr: 6.6917e-02 eta: 1:55:55 time: 0.3189 data_time: 0.0098 memory: 8510 grad_norm: 0.1737 loss: 0.0400 recall@thr=0.5: 0.7532 prec@thr=0.5: 0.8160 recall@top3: 0.8173 prec@top3: 0.6026 recall@top5: 0.9423 prec@top5: 0.4462 loss_action_cls: 0.0400 2022/12/03 20:03:46 - mmengine - INFO - Epoch(train) [6][ 560/4451] lr: 6.6834e-02 eta: 1:55:48 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.1652 loss: 0.0431 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7353 recall@top3: 0.8235 prec@top3: 0.5490 recall@top5: 0.9265 prec@top5: 0.3882 loss_action_cls: 0.0431 2022/12/03 20:03:53 - mmengine - INFO - Epoch(train) [6][ 580/4451] lr: 6.6750e-02 eta: 1:55:42 time: 0.3190 data_time: 0.0097 memory: 8510 grad_norm: 0.1727 loss: 0.0468 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6065 recall@top3: 0.6333 prec@top3: 0.5556 recall@top5: 0.8907 prec@top5: 0.4778 loss_action_cls: 0.0468 2022/12/03 20:03:59 - mmengine - INFO - Epoch(train) [6][ 600/4451] lr: 6.6667e-02 eta: 1:55:36 time: 0.3200 data_time: 0.0112 memory: 8510 grad_norm: 0.1666 loss: 0.0478 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6042 recall@top3: 0.8264 prec@top3: 0.5417 recall@top5: 0.9236 prec@top5: 0.3667 loss_action_cls: 0.0478 2022/12/03 20:04:05 - mmengine - INFO - Epoch(train) [6][ 620/4451] lr: 6.6584e-02 eta: 1:55:29 time: 0.3207 data_time: 0.0101 memory: 8510 grad_norm: 0.1668 loss: 0.0406 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.5614 recall@top3: 0.6842 prec@top3: 0.4561 recall@top5: 0.7895 prec@top5: 0.3158 loss_action_cls: 0.0406 2022/12/03 20:04:12 - mmengine - INFO - Epoch(train) [6][ 640/4451] lr: 6.6501e-02 eta: 1:55:23 time: 0.3207 data_time: 0.0121 memory: 8510 grad_norm: 0.1724 loss: 0.0422 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.9062 recall@top3: 0.9271 prec@top3: 0.5000 recall@top5: 0.9583 prec@top5: 0.3125 loss_action_cls: 0.0422 2022/12/03 20:04:18 - mmengine - INFO - Epoch(train) [6][ 660/4451] lr: 6.6418e-02 eta: 1:55:16 time: 0.3191 data_time: 0.0110 memory: 8510 grad_norm: 0.1692 loss: 0.0425 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.9211 recall@top3: 0.8509 prec@top3: 0.5965 recall@top5: 0.9649 prec@top5: 0.4316 loss_action_cls: 0.0425 2022/12/03 20:04:25 - mmengine - INFO - Epoch(train) [6][ 680/4451] lr: 6.6334e-02 eta: 1:55:10 time: 0.3191 data_time: 0.0113 memory: 8510 grad_norm: 0.1692 loss: 0.0448 recall@thr=0.5: 0.5633 prec@thr=0.5: 0.8200 recall@top3: 0.7900 prec@top3: 0.8000 recall@top5: 0.9733 prec@top5: 0.6000 loss_action_cls: 0.0448 2022/12/03 20:04:31 - mmengine - INFO - Epoch(train) [6][ 700/4451] lr: 6.6251e-02 eta: 1:55:04 time: 0.3209 data_time: 0.0099 memory: 8510 grad_norm: 0.1678 loss: 0.0415 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7593 recall@top3: 0.7037 prec@top3: 0.5556 recall@top5: 0.8981 prec@top5: 0.4333 loss_action_cls: 0.0415 2022/12/03 20:04:37 - mmengine - INFO - Epoch(train) [6][ 720/4451] lr: 6.6167e-02 eta: 1:54:57 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.1692 loss: 0.0418 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.6250 recall@top3: 0.8125 prec@top3: 0.6146 recall@top5: 0.9583 prec@top5: 0.4375 loss_action_cls: 0.0418 2022/12/03 20:04:44 - mmengine - INFO - Epoch(train) [6][ 740/4451] lr: 6.6084e-02 eta: 1:54:51 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1745 loss: 0.0415 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.8114 recall@top3: 0.9123 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4105 loss_action_cls: 0.0415 2022/12/03 20:04:45 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:04:50 - mmengine - INFO - Epoch(train) [6][ 760/4451] lr: 6.6000e-02 eta: 1:54:44 time: 0.3201 data_time: 0.0115 memory: 8510 grad_norm: 0.1686 loss: 0.0420 recall@thr=0.5: 0.5994 prec@thr=0.5: 0.6635 recall@top3: 0.7019 prec@top3: 0.5128 recall@top5: 0.8109 prec@top5: 0.3538 loss_action_cls: 0.0420 2022/12/03 20:04:57 - mmengine - INFO - Epoch(train) [6][ 780/4451] lr: 6.5917e-02 eta: 1:54:38 time: 0.3214 data_time: 0.0096 memory: 8510 grad_norm: 0.1699 loss: 0.0408 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7222 recall@top3: 0.7583 prec@top3: 0.7444 recall@top5: 0.9333 prec@top5: 0.5600 loss_action_cls: 0.0408 2022/12/03 20:05:03 - mmengine - INFO - Epoch(train) [6][ 800/4451] lr: 6.5833e-02 eta: 1:54:32 time: 0.3201 data_time: 0.0098 memory: 8510 grad_norm: 0.1676 loss: 0.0467 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7600 recall@top3: 0.8600 prec@top3: 0.5200 recall@top5: 0.9067 prec@top5: 0.3360 loss_action_cls: 0.0467 2022/12/03 20:05:10 - mmengine - INFO - Epoch(train) [6][ 820/4451] lr: 6.5749e-02 eta: 1:54:25 time: 0.3211 data_time: 0.0116 memory: 8510 grad_norm: 0.1704 loss: 0.0405 recall@thr=0.5: 0.6151 prec@thr=0.5: 0.6905 recall@top3: 0.7540 prec@top3: 0.6825 recall@top5: 0.9365 prec@top5: 0.5143 loss_action_cls: 0.0405 2022/12/03 20:05:16 - mmengine - INFO - Epoch(train) [6][ 840/4451] lr: 6.5665e-02 eta: 1:54:19 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1683 loss: 0.0431 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7549 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0431 2022/12/03 20:05:22 - mmengine - INFO - Epoch(train) [6][ 860/4451] lr: 6.5582e-02 eta: 1:54:12 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1701 loss: 0.0414 recall@thr=0.5: 0.6763 prec@thr=0.5: 0.6859 recall@top3: 0.7885 prec@top3: 0.7051 recall@top5: 0.9519 prec@top5: 0.5000 loss_action_cls: 0.0414 2022/12/03 20:05:29 - mmengine - INFO - Epoch(train) [6][ 880/4451] lr: 6.5498e-02 eta: 1:54:06 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1692 loss: 0.0469 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.6833 recall@top3: 0.8917 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4100 loss_action_cls: 0.0469 2022/12/03 20:05:35 - mmengine - INFO - Epoch(train) [6][ 900/4451] lr: 6.5414e-02 eta: 1:54:00 time: 0.3194 data_time: 0.0102 memory: 8510 grad_norm: 0.1654 loss: 0.0442 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.9250 recall@top3: 0.9083 prec@top3: 0.7833 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0442 2022/12/03 20:05:42 - mmengine - INFO - Epoch(train) [6][ 920/4451] lr: 6.5330e-02 eta: 1:53:53 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1622 loss: 0.0417 recall@thr=0.5: 0.4432 prec@thr=0.5: 0.5303 recall@top3: 0.7614 prec@top3: 0.5758 recall@top5: 0.8561 prec@top5: 0.3909 loss_action_cls: 0.0417 2022/12/03 20:05:48 - mmengine - INFO - Epoch(train) [6][ 940/4451] lr: 6.5246e-02 eta: 1:53:47 time: 0.3214 data_time: 0.0100 memory: 8510 grad_norm: 0.1713 loss: 0.0426 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6667 recall@top3: 0.8077 prec@top3: 0.5128 recall@top5: 0.8462 prec@top5: 0.3154 loss_action_cls: 0.0426 2022/12/03 20:05:54 - mmengine - INFO - Epoch(train) [6][ 960/4451] lr: 6.5162e-02 eta: 1:53:40 time: 0.3206 data_time: 0.0103 memory: 8510 grad_norm: 0.1761 loss: 0.0457 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.6354 recall@top3: 0.5417 prec@top3: 0.5208 recall@top5: 0.8802 prec@top5: 0.4625 loss_action_cls: 0.0457 2022/12/03 20:06:01 - mmengine - INFO - Epoch(train) [6][ 980/4451] lr: 6.5078e-02 eta: 1:53:34 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1742 loss: 0.0411 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7824 recall@top3: 0.7963 prec@top3: 0.6481 recall@top5: 0.9306 prec@top5: 0.4667 loss_action_cls: 0.0411 2022/12/03 20:06:07 - mmengine - INFO - Epoch(train) [6][1000/4451] lr: 6.4994e-02 eta: 1:53:28 time: 0.3206 data_time: 0.0105 memory: 8510 grad_norm: 0.1656 loss: 0.0408 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7833 recall@top3: 0.8568 prec@top3: 0.7812 recall@top5: 0.9583 prec@top5: 0.5312 loss_action_cls: 0.0408 2022/12/03 20:06:14 - mmengine - INFO - Epoch(train) [6][1020/4451] lr: 6.4909e-02 eta: 1:53:21 time: 0.3194 data_time: 0.0094 memory: 8510 grad_norm: 0.1742 loss: 0.0466 recall@thr=0.5: 0.7700 prec@thr=0.5: 0.7917 recall@top3: 0.8267 prec@top3: 0.5500 recall@top5: 0.9333 prec@top5: 0.4100 loss_action_cls: 0.0466 2022/12/03 20:06:20 - mmengine - INFO - Epoch(train) [6][1040/4451] lr: 6.4825e-02 eta: 1:53:15 time: 0.3207 data_time: 0.0097 memory: 8510 grad_norm: 0.1677 loss: 0.0401 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8177 recall@top3: 0.7969 prec@top3: 0.6250 recall@top5: 0.9010 prec@top5: 0.4375 loss_action_cls: 0.0401 2022/12/03 20:06:26 - mmengine - INFO - Epoch(train) [6][1060/4451] lr: 6.4741e-02 eta: 1:53:08 time: 0.3206 data_time: 0.0097 memory: 8510 grad_norm: 0.1738 loss: 0.0408 recall@thr=0.5: 0.8551 prec@thr=0.5: 0.7681 recall@top3: 0.9348 prec@top3: 0.6667 recall@top5: 0.9348 prec@top5: 0.4000 loss_action_cls: 0.0408 2022/12/03 20:06:33 - mmengine - INFO - Epoch(train) [6][1080/4451] lr: 6.4657e-02 eta: 1:53:02 time: 0.3215 data_time: 0.0100 memory: 8510 grad_norm: 0.1723 loss: 0.0437 recall@thr=0.5: 0.8123 prec@thr=0.5: 0.8889 recall@top3: 0.8833 prec@top3: 0.8765 recall@top5: 0.9648 prec@top5: 0.5926 loss_action_cls: 0.0437 2022/12/03 20:06:39 - mmengine - INFO - Epoch(train) [6][1100/4451] lr: 6.4572e-02 eta: 1:52:56 time: 0.3211 data_time: 0.0127 memory: 8510 grad_norm: 0.1672 loss: 0.0445 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5463 recall@top3: 0.7593 prec@top3: 0.5185 recall@top5: 0.7870 prec@top5: 0.3222 loss_action_cls: 0.0445 2022/12/03 20:06:46 - mmengine - INFO - Epoch(train) [6][1120/4451] lr: 6.4488e-02 eta: 1:52:49 time: 0.3199 data_time: 0.0097 memory: 8510 grad_norm: 0.1705 loss: 0.0459 recall@thr=0.5: 0.7258 prec@thr=0.5: 0.8199 recall@top3: 0.8441 prec@top3: 0.7527 recall@top5: 0.9731 prec@top5: 0.5290 loss_action_cls: 0.0459 2022/12/03 20:06:52 - mmengine - INFO - Epoch(train) [6][1140/4451] lr: 6.4403e-02 eta: 1:52:43 time: 0.3216 data_time: 0.0110 memory: 8510 grad_norm: 0.1697 loss: 0.0433 recall@thr=0.5: 0.6711 prec@thr=0.5: 0.7456 recall@top3: 0.7105 prec@top3: 0.5263 recall@top5: 0.8596 prec@top5: 0.4105 loss_action_cls: 0.0433 2022/12/03 20:06:59 - mmengine - INFO - Epoch(train) [6][1160/4451] lr: 6.4319e-02 eta: 1:52:36 time: 0.3205 data_time: 0.0113 memory: 8510 grad_norm: 0.1708 loss: 0.0419 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.7899 recall@top3: 0.7790 prec@top3: 0.6522 recall@top5: 0.9348 prec@top5: 0.4696 loss_action_cls: 0.0419 2022/12/03 20:07:05 - mmengine - INFO - Epoch(train) [6][1180/4451] lr: 6.4234e-02 eta: 1:52:30 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.1644 loss: 0.0418 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6795 recall@top3: 0.7205 prec@top3: 0.5897 recall@top5: 0.7769 prec@top5: 0.4000 loss_action_cls: 0.0418 2022/12/03 20:07:11 - mmengine - INFO - Epoch(train) [6][1200/4451] lr: 6.4150e-02 eta: 1:52:24 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1662 loss: 0.0428 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8889 recall@top3: 0.8796 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4444 loss_action_cls: 0.0428 2022/12/03 20:07:18 - mmengine - INFO - Epoch(train) [6][1220/4451] lr: 6.4065e-02 eta: 1:52:17 time: 0.3182 data_time: 0.0107 memory: 8510 grad_norm: 0.1684 loss: 0.0414 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6771 recall@top3: 0.8646 prec@top3: 0.5417 recall@top5: 0.8854 prec@top5: 0.3375 loss_action_cls: 0.0414 2022/12/03 20:07:24 - mmengine - INFO - Epoch(train) [6][1240/4451] lr: 6.3980e-02 eta: 1:52:11 time: 0.3196 data_time: 0.0103 memory: 8510 grad_norm: 0.1611 loss: 0.0387 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8788 recall@top3: 0.8510 prec@top3: 0.8687 recall@top5: 1.0000 prec@top5: 0.6303 loss_action_cls: 0.0387 2022/12/03 20:07:30 - mmengine - INFO - Epoch(train) [6][1260/4451] lr: 6.3896e-02 eta: 1:52:04 time: 0.3198 data_time: 0.0096 memory: 8510 grad_norm: 0.1663 loss: 0.0386 recall@thr=0.5: 0.7306 prec@thr=0.5: 0.7333 recall@top3: 0.8139 prec@top3: 0.6222 recall@top5: 0.9556 prec@top5: 0.4600 loss_action_cls: 0.0386 2022/12/03 20:07:37 - mmengine - INFO - Epoch(train) [6][1280/4451] lr: 6.3811e-02 eta: 1:51:58 time: 0.3210 data_time: 0.0098 memory: 8510 grad_norm: 0.1688 loss: 0.0411 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.8125 recall@top3: 0.7396 prec@top3: 0.5833 recall@top5: 0.9271 prec@top5: 0.4250 loss_action_cls: 0.0411 2022/12/03 20:07:43 - mmengine - INFO - Epoch(train) [6][1300/4451] lr: 6.3726e-02 eta: 1:51:51 time: 0.3201 data_time: 0.0097 memory: 8510 grad_norm: 0.1700 loss: 0.0383 recall@thr=0.5: 0.6821 prec@thr=0.5: 0.7914 recall@top3: 0.8765 prec@top3: 0.6296 recall@top5: 0.9660 prec@top5: 0.4296 loss_action_cls: 0.0383 2022/12/03 20:07:50 - mmengine - INFO - Epoch(train) [6][1320/4451] lr: 6.3641e-02 eta: 1:51:45 time: 0.3190 data_time: 0.0112 memory: 8510 grad_norm: 0.1716 loss: 0.0460 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.5399 recall@top3: 0.7145 prec@top3: 0.6232 recall@top5: 0.8681 prec@top5: 0.4696 loss_action_cls: 0.0460 2022/12/03 20:07:56 - mmengine - INFO - Epoch(train) [6][1340/4451] lr: 6.3556e-02 eta: 1:51:39 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.1683 loss: 0.0393 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7917 recall@top3: 0.9048 prec@top3: 0.7262 recall@top5: 0.9911 prec@top5: 0.4857 loss_action_cls: 0.0393 2022/12/03 20:08:03 - mmengine - INFO - Epoch(train) [6][1360/4451] lr: 6.3471e-02 eta: 1:51:32 time: 0.3200 data_time: 0.0099 memory: 8510 grad_norm: 0.1709 loss: 0.0405 recall@thr=0.5: 0.4944 prec@thr=0.5: 0.7667 recall@top3: 0.6778 prec@top3: 0.7111 recall@top5: 0.9167 prec@top5: 0.5867 loss_action_cls: 0.0405 2022/12/03 20:08:09 - mmengine - INFO - Epoch(train) [6][1380/4451] lr: 6.3386e-02 eta: 1:51:26 time: 0.3218 data_time: 0.0103 memory: 8510 grad_norm: 0.1729 loss: 0.0405 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6000 recall@top3: 0.8111 prec@top3: 0.4889 recall@top5: 0.8444 prec@top5: 0.3067 loss_action_cls: 0.0405 2022/12/03 20:08:15 - mmengine - INFO - Epoch(train) [6][1400/4451] lr: 6.3301e-02 eta: 1:51:19 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1666 loss: 0.0431 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7593 recall@top3: 0.8704 prec@top3: 0.6111 recall@top5: 0.9259 prec@top5: 0.4000 loss_action_cls: 0.0431 2022/12/03 20:08:22 - mmengine - INFO - Epoch(train) [6][1420/4451] lr: 6.3216e-02 eta: 1:51:13 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.1684 loss: 0.0424 recall@thr=0.5: 0.6433 prec@thr=0.5: 0.7583 recall@top3: 0.7708 prec@top3: 0.7500 recall@top5: 0.8950 prec@top5: 0.5400 loss_action_cls: 0.0424 2022/12/03 20:08:28 - mmengine - INFO - Epoch(train) [6][1440/4451] lr: 6.3131e-02 eta: 1:51:07 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1731 loss: 0.0471 recall@thr=0.5: 0.5613 prec@thr=0.5: 0.5287 recall@top3: 0.5980 prec@top3: 0.5867 recall@top5: 0.8900 prec@top5: 0.5360 loss_action_cls: 0.0471 2022/12/03 20:08:35 - mmengine - INFO - Epoch(train) [6][1460/4451] lr: 6.3046e-02 eta: 1:51:00 time: 0.3206 data_time: 0.0112 memory: 8510 grad_norm: 0.1643 loss: 0.0435 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.5702 recall@top3: 0.8070 prec@top3: 0.6140 recall@top5: 0.9211 prec@top5: 0.4316 loss_action_cls: 0.0435 2022/12/03 20:08:41 - mmengine - INFO - Epoch(train) [6][1480/4451] lr: 6.2961e-02 eta: 1:50:54 time: 0.3206 data_time: 0.0095 memory: 8510 grad_norm: 0.1636 loss: 0.0369 recall@thr=0.5: 0.8159 prec@thr=0.5: 0.8225 recall@top3: 0.9304 prec@top3: 0.7246 recall@top5: 0.9623 prec@top5: 0.4609 loss_action_cls: 0.0369 2022/12/03 20:08:47 - mmengine - INFO - Epoch(train) [6][1500/4451] lr: 6.2876e-02 eta: 1:50:47 time: 0.3217 data_time: 0.0100 memory: 8510 grad_norm: 0.1672 loss: 0.0418 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.6667 recall@top3: 0.8788 prec@top3: 0.6667 recall@top5: 0.9773 prec@top5: 0.4455 loss_action_cls: 0.0418 2022/12/03 20:08:54 - mmengine - INFO - Epoch(train) [6][1520/4451] lr: 6.2790e-02 eta: 1:50:41 time: 0.3201 data_time: 0.0098 memory: 8510 grad_norm: 0.1658 loss: 0.0488 recall@thr=0.5: 0.3229 prec@thr=0.5: 0.6771 recall@top3: 0.6875 prec@top3: 0.5208 recall@top5: 0.8229 prec@top5: 0.3750 loss_action_cls: 0.0488 2022/12/03 20:09:00 - mmengine - INFO - Epoch(train) [6][1540/4451] lr: 6.2705e-02 eta: 1:50:35 time: 0.3199 data_time: 0.0097 memory: 8510 grad_norm: 0.1684 loss: 0.0392 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7500 recall@top3: 0.9259 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0392 2022/12/03 20:09:07 - mmengine - INFO - Epoch(train) [6][1560/4451] lr: 6.2620e-02 eta: 1:50:28 time: 0.3215 data_time: 0.0102 memory: 8510 grad_norm: 0.1723 loss: 0.0405 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7939 recall@top3: 0.8465 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0405 2022/12/03 20:09:13 - mmengine - INFO - Epoch(train) [6][1580/4451] lr: 6.2534e-02 eta: 1:50:22 time: 0.3203 data_time: 0.0098 memory: 8510 grad_norm: 0.1601 loss: 0.0432 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8095 recall@top3: 0.8889 prec@top3: 0.4921 recall@top5: 0.9524 prec@top5: 0.3429 loss_action_cls: 0.0432 2022/12/03 20:09:20 - mmengine - INFO - Epoch(train) [6][1600/4451] lr: 6.2449e-02 eta: 1:50:15 time: 0.3206 data_time: 0.0098 memory: 8510 grad_norm: 0.1709 loss: 0.0437 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.5903 recall@top3: 0.6979 prec@top3: 0.5833 recall@top5: 0.8542 prec@top5: 0.4333 loss_action_cls: 0.0437 2022/12/03 20:09:26 - mmengine - INFO - Epoch(train) [6][1620/4451] lr: 6.2363e-02 eta: 1:50:09 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1740 loss: 0.0439 recall@thr=0.5: 0.6689 prec@thr=0.5: 0.8258 recall@top3: 0.7553 prec@top3: 0.6970 recall@top5: 0.9886 prec@top5: 0.5545 loss_action_cls: 0.0439 2022/12/03 20:09:32 - mmengine - INFO - Epoch(train) [6][1640/4451] lr: 6.2278e-02 eta: 1:50:03 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1683 loss: 0.0435 recall@thr=0.5: 0.4432 prec@thr=0.5: 0.4924 recall@top3: 0.6780 prec@top3: 0.5758 recall@top5: 0.8977 prec@top5: 0.4636 loss_action_cls: 0.0435 2022/12/03 20:09:39 - mmengine - INFO - Epoch(train) [6][1660/4451] lr: 6.2192e-02 eta: 1:49:56 time: 0.3200 data_time: 0.0107 memory: 8510 grad_norm: 0.1681 loss: 0.0399 recall@thr=0.5: 0.5542 prec@thr=0.5: 0.6250 recall@top3: 0.7437 prec@top3: 0.5000 recall@top5: 0.9563 prec@top5: 0.3625 loss_action_cls: 0.0399 2022/12/03 20:09:45 - mmengine - INFO - Epoch(train) [6][1680/4451] lr: 6.2107e-02 eta: 1:49:50 time: 0.3198 data_time: 0.0098 memory: 8510 grad_norm: 0.1692 loss: 0.0421 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.8431 recall@top3: 0.9216 prec@top3: 0.7843 recall@top5: 0.9853 prec@top5: 0.5176 loss_action_cls: 0.0421 2022/12/03 20:09:52 - mmengine - INFO - Epoch(train) [6][1700/4451] lr: 6.2021e-02 eta: 1:49:43 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1638 loss: 0.0372 recall@thr=0.5: 0.7124 prec@thr=0.5: 0.7640 recall@top3: 0.8575 prec@top3: 0.7742 recall@top5: 0.9570 prec@top5: 0.5161 loss_action_cls: 0.0372 2022/12/03 20:09:58 - mmengine - INFO - Epoch(train) [6][1720/4451] lr: 6.1935e-02 eta: 1:49:37 time: 0.3202 data_time: 0.0095 memory: 8510 grad_norm: 0.1692 loss: 0.0440 recall@thr=0.5: 0.5515 prec@thr=0.5: 0.7803 recall@top3: 0.6303 prec@top3: 0.6212 recall@top5: 0.7848 prec@top5: 0.4818 loss_action_cls: 0.0440 2022/12/03 20:10:04 - mmengine - INFO - Epoch(train) [6][1740/4451] lr: 6.1850e-02 eta: 1:49:31 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.1683 loss: 0.0388 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8095 recall@top3: 0.8452 prec@top3: 0.5476 recall@top5: 0.9643 prec@top5: 0.3714 loss_action_cls: 0.0388 2022/12/03 20:10:06 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:10:11 - mmengine - INFO - Epoch(train) [6][1760/4451] lr: 6.1764e-02 eta: 1:49:24 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1734 loss: 0.0439 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.7500 recall@top3: 0.8229 prec@top3: 0.6042 recall@top5: 0.8958 prec@top5: 0.4000 loss_action_cls: 0.0439 2022/12/03 20:10:17 - mmengine - INFO - Epoch(train) [6][1780/4451] lr: 6.1678e-02 eta: 1:49:18 time: 0.3213 data_time: 0.0098 memory: 8510 grad_norm: 0.1667 loss: 0.0408 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6917 recall@top3: 0.7667 prec@top3: 0.4833 recall@top5: 0.8250 prec@top5: 0.3300 loss_action_cls: 0.0408 2022/12/03 20:10:24 - mmengine - INFO - Epoch(train) [6][1800/4451] lr: 6.1592e-02 eta: 1:49:11 time: 0.3219 data_time: 0.0098 memory: 8510 grad_norm: 0.1651 loss: 0.0385 recall@thr=0.5: 0.7517 prec@thr=0.5: 0.8500 recall@top3: 0.7517 prec@top3: 0.7167 recall@top5: 0.9467 prec@top5: 0.5500 loss_action_cls: 0.0385 2022/12/03 20:10:30 - mmengine - INFO - Epoch(train) [6][1820/4451] lr: 6.1507e-02 eta: 1:49:05 time: 0.3205 data_time: 0.0096 memory: 8510 grad_norm: 0.1704 loss: 0.0431 recall@thr=0.5: 0.4603 prec@thr=0.5: 0.4841 recall@top3: 0.6667 prec@top3: 0.4921 recall@top5: 0.8016 prec@top5: 0.3714 loss_action_cls: 0.0431 2022/12/03 20:10:36 - mmengine - INFO - Epoch(train) [6][1840/4451] lr: 6.1421e-02 eta: 1:48:59 time: 0.3192 data_time: 0.0097 memory: 8510 grad_norm: 0.1754 loss: 0.0425 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7175 recall@top3: 0.8114 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.4737 loss_action_cls: 0.0425 2022/12/03 20:10:43 - mmengine - INFO - Epoch(train) [6][1860/4451] lr: 6.1335e-02 eta: 1:48:52 time: 0.3214 data_time: 0.0122 memory: 8510 grad_norm: 0.1662 loss: 0.0427 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.8576 recall@top3: 0.9132 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0427 2022/12/03 20:10:49 - mmengine - INFO - Epoch(train) [6][1880/4451] lr: 6.1249e-02 eta: 1:48:46 time: 0.3195 data_time: 0.0097 memory: 8510 grad_norm: 0.1743 loss: 0.0458 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.6481 recall@top3: 0.7778 prec@top3: 0.5000 recall@top5: 0.8611 prec@top5: 0.3444 loss_action_cls: 0.0458 2022/12/03 20:10:56 - mmengine - INFO - Epoch(train) [6][1900/4451] lr: 6.1163e-02 eta: 1:48:39 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1678 loss: 0.0433 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.7875 recall@top3: 0.7417 prec@top3: 0.7667 recall@top5: 0.8917 prec@top5: 0.5700 loss_action_cls: 0.0433 2022/12/03 20:11:02 - mmengine - INFO - Epoch(train) [6][1920/4451] lr: 6.1077e-02 eta: 1:48:33 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.1750 loss: 0.0459 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.4345 recall@top3: 0.7560 prec@top3: 0.4881 recall@top5: 0.9107 prec@top5: 0.3429 loss_action_cls: 0.0459 2022/12/03 20:11:08 - mmengine - INFO - Epoch(train) [6][1940/4451] lr: 6.0991e-02 eta: 1:48:27 time: 0.3198 data_time: 0.0109 memory: 8510 grad_norm: 0.1738 loss: 0.0408 recall@thr=0.5: 0.3843 prec@thr=0.5: 0.5509 recall@top3: 0.5880 prec@top3: 0.5556 recall@top5: 0.7963 prec@top5: 0.4556 loss_action_cls: 0.0408 2022/12/03 20:11:15 - mmengine - INFO - Epoch(train) [6][1960/4451] lr: 6.0905e-02 eta: 1:48:20 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1769 loss: 0.0445 recall@thr=0.5: 0.4879 prec@thr=0.5: 0.6667 recall@top3: 0.6742 prec@top3: 0.5909 recall@top5: 0.8098 prec@top5: 0.4273 loss_action_cls: 0.0445 2022/12/03 20:11:21 - mmengine - INFO - Epoch(train) [6][1980/4451] lr: 6.0819e-02 eta: 1:48:14 time: 0.3192 data_time: 0.0101 memory: 8510 grad_norm: 0.1686 loss: 0.0400 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8583 recall@top3: 0.8167 prec@top3: 0.6167 recall@top5: 0.8750 prec@top5: 0.4100 loss_action_cls: 0.0400 2022/12/03 20:11:28 - mmengine - INFO - Epoch(train) [6][2000/4451] lr: 6.0732e-02 eta: 1:48:07 time: 0.3207 data_time: 0.0098 memory: 8510 grad_norm: 0.1733 loss: 0.0440 recall@thr=0.5: 0.4725 prec@thr=0.5: 0.6029 recall@top3: 0.7098 prec@top3: 0.5882 recall@top5: 0.9000 prec@top5: 0.4824 loss_action_cls: 0.0440 2022/12/03 20:11:34 - mmengine - INFO - Epoch(train) [6][2020/4451] lr: 6.0646e-02 eta: 1:48:01 time: 0.3203 data_time: 0.0118 memory: 8510 grad_norm: 0.1712 loss: 0.0436 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.7532 recall@top3: 0.7372 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.5154 loss_action_cls: 0.0436 2022/12/03 20:11:41 - mmengine - INFO - Epoch(train) [6][2040/4451] lr: 6.0560e-02 eta: 1:47:55 time: 0.3219 data_time: 0.0125 memory: 8510 grad_norm: 0.1645 loss: 0.0379 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7656 recall@top3: 0.7969 prec@top3: 0.5625 recall@top5: 0.8594 prec@top5: 0.3687 loss_action_cls: 0.0379 2022/12/03 20:11:47 - mmengine - INFO - Epoch(train) [6][2060/4451] lr: 6.0474e-02 eta: 1:47:48 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.1693 loss: 0.0373 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6222 recall@top3: 0.7778 prec@top3: 0.4000 recall@top5: 0.9000 prec@top5: 0.2933 loss_action_cls: 0.0373 2022/12/03 20:11:53 - mmengine - INFO - Epoch(train) [6][2080/4451] lr: 6.0388e-02 eta: 1:47:42 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1790 loss: 0.0391 recall@thr=0.5: 0.4967 prec@thr=0.5: 0.5917 recall@top3: 0.6433 prec@top3: 0.5500 recall@top5: 0.8750 prec@top5: 0.4700 loss_action_cls: 0.0391 2022/12/03 20:12:00 - mmengine - INFO - Epoch(train) [6][2100/4451] lr: 6.0301e-02 eta: 1:47:35 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.1670 loss: 0.0430 recall@thr=0.5: 0.6216 prec@thr=0.5: 0.7549 recall@top3: 0.8275 prec@top3: 0.5294 recall@top5: 0.8627 prec@top5: 0.3529 loss_action_cls: 0.0430 2022/12/03 20:12:06 - mmengine - INFO - Epoch(train) [6][2120/4451] lr: 6.0215e-02 eta: 1:47:29 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1672 loss: 0.0435 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.9211 recall@top3: 0.8860 prec@top3: 0.9123 recall@top5: 0.9518 prec@top5: 0.6000 loss_action_cls: 0.0435 2022/12/03 20:12:13 - mmengine - INFO - Epoch(train) [6][2140/4451] lr: 6.0128e-02 eta: 1:47:23 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.1664 loss: 0.0434 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7833 recall@top3: 0.8056 prec@top3: 0.7889 recall@top5: 0.9611 prec@top5: 0.5467 loss_action_cls: 0.0434 2022/12/03 20:12:19 - mmengine - INFO - Epoch(train) [6][2160/4451] lr: 6.0042e-02 eta: 1:47:16 time: 0.3200 data_time: 0.0113 memory: 8510 grad_norm: 0.1746 loss: 0.0400 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.7803 recall@top3: 0.9091 prec@top3: 0.7121 recall@top5: 0.9545 prec@top5: 0.4545 loss_action_cls: 0.0400 2022/12/03 20:12:25 - mmengine - INFO - Epoch(train) [6][2180/4451] lr: 5.9956e-02 eta: 1:47:10 time: 0.3203 data_time: 0.0121 memory: 8510 grad_norm: 0.1667 loss: 0.0456 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.5439 recall@top3: 0.7193 prec@top3: 0.5614 recall@top5: 0.8684 prec@top5: 0.4211 loss_action_cls: 0.0456 2022/12/03 20:12:32 - mmengine - INFO - Epoch(train) [6][2200/4451] lr: 5.9869e-02 eta: 1:47:03 time: 0.3194 data_time: 0.0098 memory: 8510 grad_norm: 0.1676 loss: 0.0429 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.7604 recall@top3: 0.9167 prec@top3: 0.7083 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0429 2022/12/03 20:12:38 - mmengine - INFO - Epoch(train) [6][2220/4451] lr: 5.9783e-02 eta: 1:46:57 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.1674 loss: 0.0406 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.5325 recall@top3: 0.7857 prec@top3: 0.6190 recall@top5: 0.9127 prec@top5: 0.4381 loss_action_cls: 0.0406 2022/12/03 20:12:45 - mmengine - INFO - Epoch(train) [6][2240/4451] lr: 5.9696e-02 eta: 1:46:50 time: 0.3204 data_time: 0.0106 memory: 8510 grad_norm: 0.1702 loss: 0.0470 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.6623 recall@top3: 0.8158 prec@top3: 0.6140 recall@top5: 0.8684 prec@top5: 0.4000 loss_action_cls: 0.0470 2022/12/03 20:12:51 - mmengine - INFO - Epoch(train) [6][2260/4451] lr: 5.9610e-02 eta: 1:46:44 time: 0.3192 data_time: 0.0102 memory: 8510 grad_norm: 0.1721 loss: 0.0441 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6204 recall@top3: 0.6944 prec@top3: 0.5000 recall@top5: 0.8241 prec@top5: 0.3778 loss_action_cls: 0.0441 2022/12/03 20:12:57 - mmengine - INFO - Epoch(train) [6][2280/4451] lr: 5.9523e-02 eta: 1:46:38 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1687 loss: 0.0425 recall@thr=0.5: 0.4769 prec@thr=0.5: 0.5556 recall@top3: 0.7315 prec@top3: 0.4815 recall@top5: 0.9120 prec@top5: 0.3556 loss_action_cls: 0.0425 2022/12/03 20:13:04 - mmengine - INFO - Epoch(train) [6][2300/4451] lr: 5.9436e-02 eta: 1:46:31 time: 0.3200 data_time: 0.0105 memory: 8510 grad_norm: 0.1624 loss: 0.0432 recall@thr=0.5: 0.5482 prec@thr=0.5: 0.6974 recall@top3: 0.7807 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0432 2022/12/03 20:13:10 - mmengine - INFO - Epoch(train) [6][2320/4451] lr: 5.9350e-02 eta: 1:46:25 time: 0.3203 data_time: 0.0108 memory: 8510 grad_norm: 0.1815 loss: 0.0433 recall@thr=0.5: 0.6886 prec@thr=0.5: 0.7632 recall@top3: 0.8202 prec@top3: 0.5789 recall@top5: 0.9123 prec@top5: 0.4000 loss_action_cls: 0.0433 2022/12/03 20:13:17 - mmengine - INFO - Epoch(train) [6][2340/4451] lr: 5.9263e-02 eta: 1:46:18 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1742 loss: 0.0399 recall@thr=0.5: 0.8986 prec@thr=0.5: 0.8775 recall@top3: 0.8913 prec@top3: 0.5797 recall@top5: 1.0000 prec@top5: 0.4087 loss_action_cls: 0.0399 2022/12/03 20:13:23 - mmengine - INFO - Epoch(train) [6][2360/4451] lr: 5.9176e-02 eta: 1:46:12 time: 0.3200 data_time: 0.0126 memory: 8510 grad_norm: 0.1708 loss: 0.0467 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7518 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.8465 prec@top5: 0.4526 loss_action_cls: 0.0467 2022/12/03 20:13:29 - mmengine - INFO - Epoch(train) [6][2380/4451] lr: 5.9090e-02 eta: 1:46:06 time: 0.3215 data_time: 0.0099 memory: 8510 grad_norm: 0.1625 loss: 0.0428 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6852 recall@top3: 0.7870 prec@top3: 0.5556 recall@top5: 0.8796 prec@top5: 0.3778 loss_action_cls: 0.0428 2022/12/03 20:13:36 - mmengine - INFO - Epoch(train) [6][2400/4451] lr: 5.9003e-02 eta: 1:45:59 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.1743 loss: 0.0393 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8449 recall@top3: 0.8122 prec@top3: 0.7436 recall@top5: 0.9904 prec@top5: 0.5769 loss_action_cls: 0.0393 2022/12/03 20:13:42 - mmengine - INFO - Epoch(train) [6][2420/4451] lr: 5.8916e-02 eta: 1:45:53 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.1754 loss: 0.0451 recall@thr=0.5: 0.8375 prec@thr=0.5: 0.8333 recall@top3: 0.8833 prec@top3: 0.7167 recall@top5: 0.9833 prec@top5: 0.4900 loss_action_cls: 0.0451 2022/12/03 20:13:49 - mmengine - INFO - Epoch(train) [6][2440/4451] lr: 5.8829e-02 eta: 1:45:46 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.1700 loss: 0.0400 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8095 recall@top3: 0.8571 prec@top3: 0.7460 recall@top5: 0.9524 prec@top5: 0.5333 loss_action_cls: 0.0400 2022/12/03 20:13:55 - mmengine - INFO - Epoch(train) [6][2460/4451] lr: 5.8742e-02 eta: 1:45:40 time: 0.3212 data_time: 0.0106 memory: 8510 grad_norm: 0.1651 loss: 0.0424 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.4750 recall@top3: 0.6958 prec@top3: 0.5500 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0424 2022/12/03 20:14:02 - mmengine - INFO - Epoch(train) [6][2480/4451] lr: 5.8655e-02 eta: 1:45:34 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.1672 loss: 0.0447 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.5893 recall@top3: 0.6762 prec@top3: 0.6310 recall@top5: 0.8262 prec@top5: 0.4714 loss_action_cls: 0.0447 2022/12/03 20:14:08 - mmengine - INFO - Epoch(train) [6][2500/4451] lr: 5.8568e-02 eta: 1:45:27 time: 0.3218 data_time: 0.0101 memory: 8510 grad_norm: 0.1765 loss: 0.0409 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6146 recall@top3: 0.8229 prec@top3: 0.5625 recall@top5: 0.8750 prec@top5: 0.3625 loss_action_cls: 0.0409 2022/12/03 20:14:14 - mmengine - INFO - Epoch(train) [6][2520/4451] lr: 5.8482e-02 eta: 1:45:21 time: 0.3191 data_time: 0.0100 memory: 8510 grad_norm: 0.1650 loss: 0.0422 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6569 recall@top3: 0.6765 prec@top3: 0.5098 recall@top5: 0.7500 prec@top5: 0.3412 loss_action_cls: 0.0422 2022/12/03 20:14:21 - mmengine - INFO - Epoch(train) [6][2540/4451] lr: 5.8395e-02 eta: 1:45:14 time: 0.3214 data_time: 0.0104 memory: 8510 grad_norm: 0.1638 loss: 0.0421 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.7308 recall@top3: 0.8205 prec@top3: 0.6154 recall@top5: 0.9359 prec@top5: 0.4308 loss_action_cls: 0.0421 2022/12/03 20:14:27 - mmengine - INFO - Epoch(train) [6][2560/4451] lr: 5.8308e-02 eta: 1:45:08 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1681 loss: 0.0429 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7500 recall@top3: 0.7857 prec@top3: 0.5952 recall@top5: 0.8571 prec@top5: 0.3714 loss_action_cls: 0.0429 2022/12/03 20:14:34 - mmengine - INFO - Epoch(train) [6][2580/4451] lr: 5.8221e-02 eta: 1:45:02 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.1691 loss: 0.0439 recall@thr=0.5: 0.4783 prec@thr=0.5: 0.5652 recall@top3: 0.7283 prec@top3: 0.4783 recall@top5: 0.8804 prec@top5: 0.3652 loss_action_cls: 0.0439 2022/12/03 20:14:40 - mmengine - INFO - Epoch(train) [6][2600/4451] lr: 5.8134e-02 eta: 1:44:55 time: 0.3219 data_time: 0.0101 memory: 8510 grad_norm: 0.1754 loss: 0.0467 recall@thr=0.5: 0.6711 prec@thr=0.5: 0.7237 recall@top3: 0.8553 prec@top3: 0.7368 recall@top5: 0.9167 prec@top5: 0.4737 loss_action_cls: 0.0467 2022/12/03 20:14:46 - mmengine - INFO - Epoch(train) [6][2620/4451] lr: 5.8046e-02 eta: 1:44:49 time: 0.3207 data_time: 0.0101 memory: 8510 grad_norm: 0.1655 loss: 0.0397 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8515 recall@top3: 0.8826 prec@top3: 0.6818 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0397 2022/12/03 20:14:53 - mmengine - INFO - Epoch(train) [6][2640/4451] lr: 5.7959e-02 eta: 1:44:42 time: 0.3213 data_time: 0.0120 memory: 8510 grad_norm: 0.1717 loss: 0.0420 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9271 recall@top3: 0.8542 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4250 loss_action_cls: 0.0420 2022/12/03 20:14:59 - mmengine - INFO - Epoch(train) [6][2660/4451] lr: 5.7872e-02 eta: 1:44:36 time: 0.3206 data_time: 0.0107 memory: 8510 grad_norm: 0.1736 loss: 0.0415 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7917 recall@top3: 0.9375 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.3625 loss_action_cls: 0.0415 2022/12/03 20:15:06 - mmengine - INFO - Epoch(train) [6][2680/4451] lr: 5.7785e-02 eta: 1:44:30 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1714 loss: 0.0399 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.6967 recall@top3: 0.7708 prec@top3: 0.5000 recall@top5: 0.9000 prec@top5: 0.3400 loss_action_cls: 0.0399 2022/12/03 20:15:12 - mmengine - INFO - Epoch(train) [6][2700/4451] lr: 5.7698e-02 eta: 1:44:23 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1726 loss: 0.0428 recall@thr=0.5: 0.4062 prec@thr=0.5: 0.3889 recall@top3: 0.5799 prec@top3: 0.3889 recall@top5: 0.7708 prec@top5: 0.3000 loss_action_cls: 0.0428 2022/12/03 20:15:19 - mmengine - INFO - Epoch(train) [6][2720/4451] lr: 5.7611e-02 eta: 1:44:17 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.1700 loss: 0.0393 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8750 recall@top3: 0.8611 prec@top3: 0.5972 recall@top5: 0.9097 prec@top5: 0.3833 loss_action_cls: 0.0393 2022/12/03 20:15:25 - mmengine - INFO - Epoch(train) [6][2740/4451] lr: 5.7524e-02 eta: 1:44:10 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1743 loss: 0.0407 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.4375 recall@top3: 0.6597 prec@top3: 0.3889 recall@top5: 0.7986 prec@top5: 0.2917 loss_action_cls: 0.0407 2022/12/03 20:15:27 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:15:31 - mmengine - INFO - Epoch(train) [6][2760/4451] lr: 5.7436e-02 eta: 1:44:04 time: 0.3218 data_time: 0.0115 memory: 8510 grad_norm: 0.1657 loss: 0.0413 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.4062 recall@top3: 0.7188 prec@top3: 0.4167 recall@top5: 0.9062 prec@top5: 0.3000 loss_action_cls: 0.0413 2022/12/03 20:15:38 - mmengine - INFO - Epoch(train) [6][2780/4451] lr: 5.7349e-02 eta: 1:43:58 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.1717 loss: 0.0410 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5556 recall@top3: 0.6556 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0410 2022/12/03 20:15:44 - mmengine - INFO - Epoch(train) [6][2800/4451] lr: 5.7262e-02 eta: 1:43:51 time: 0.3196 data_time: 0.0105 memory: 8510 grad_norm: 0.1751 loss: 0.0404 recall@thr=0.5: 0.5865 prec@thr=0.5: 0.7019 recall@top3: 0.8718 prec@top3: 0.3974 recall@top5: 0.9872 prec@top5: 0.2923 loss_action_cls: 0.0404 2022/12/03 20:15:51 - mmengine - INFO - Epoch(train) [6][2820/4451] lr: 5.7174e-02 eta: 1:43:45 time: 0.3218 data_time: 0.0101 memory: 8510 grad_norm: 0.1723 loss: 0.0439 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.7381 recall@top3: 0.8254 prec@top3: 0.6032 recall@top5: 0.9683 prec@top5: 0.4190 loss_action_cls: 0.0439 2022/12/03 20:15:57 - mmengine - INFO - Epoch(train) [6][2840/4451] lr: 5.7087e-02 eta: 1:43:38 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.1685 loss: 0.0416 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8083 recall@top3: 0.9083 prec@top3: 0.7333 recall@top5: 0.9250 prec@top5: 0.4500 loss_action_cls: 0.0416 2022/12/03 20:16:03 - mmengine - INFO - Epoch(train) [6][2860/4451] lr: 5.7000e-02 eta: 1:43:32 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1854 loss: 0.0462 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7311 recall@top3: 0.7841 prec@top3: 0.6212 recall@top5: 0.8674 prec@top5: 0.4364 loss_action_cls: 0.0462 2022/12/03 20:16:10 - mmengine - INFO - Epoch(train) [6][2880/4451] lr: 5.6912e-02 eta: 1:43:26 time: 0.3215 data_time: 0.0102 memory: 8510 grad_norm: 0.1711 loss: 0.0441 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6250 recall@top3: 0.7188 prec@top3: 0.4167 recall@top5: 0.8021 prec@top5: 0.2750 loss_action_cls: 0.0441 2022/12/03 20:16:16 - mmengine - INFO - Epoch(train) [6][2900/4451] lr: 5.6825e-02 eta: 1:43:19 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1786 loss: 0.0438 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.6300 recall@top3: 0.8083 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0438 2022/12/03 20:16:23 - mmengine - INFO - Epoch(train) [6][2920/4451] lr: 5.6738e-02 eta: 1:43:13 time: 0.3213 data_time: 0.0099 memory: 8510 grad_norm: 0.1727 loss: 0.0427 recall@thr=0.5: 0.2368 prec@thr=0.5: 0.3333 recall@top3: 0.6228 prec@top3: 0.4211 recall@top5: 0.6842 prec@top5: 0.2947 loss_action_cls: 0.0427 2022/12/03 20:16:29 - mmengine - INFO - Epoch(train) [6][2940/4451] lr: 5.6650e-02 eta: 1:43:06 time: 0.3192 data_time: 0.0100 memory: 8510 grad_norm: 0.1679 loss: 0.0450 recall@thr=0.5: 0.5183 prec@thr=0.5: 0.7425 recall@top3: 0.6892 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.5900 loss_action_cls: 0.0450 2022/12/03 20:16:36 - mmengine - INFO - Epoch(train) [6][2960/4451] lr: 5.6563e-02 eta: 1:43:00 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1790 loss: 0.0421 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.4940 recall@top3: 0.7143 prec@top3: 0.6429 recall@top5: 0.8988 prec@top5: 0.4929 loss_action_cls: 0.0421 2022/12/03 20:16:42 - mmengine - INFO - Epoch(train) [6][2980/4451] lr: 5.6475e-02 eta: 1:42:54 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.1717 loss: 0.0436 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6759 recall@top3: 0.6991 prec@top3: 0.5741 recall@top5: 0.9398 prec@top5: 0.4889 loss_action_cls: 0.0436 2022/12/03 20:16:48 - mmengine - INFO - Epoch(train) [6][3000/4451] lr: 5.6388e-02 eta: 1:42:47 time: 0.3210 data_time: 0.0106 memory: 8510 grad_norm: 0.1644 loss: 0.0391 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.9474 recall@top3: 0.9123 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0391 2022/12/03 20:16:55 - mmengine - INFO - Epoch(train) [6][3020/4451] lr: 5.6300e-02 eta: 1:42:41 time: 0.3210 data_time: 0.0104 memory: 8510 grad_norm: 0.1690 loss: 0.0416 recall@thr=0.5: 0.7132 prec@thr=0.5: 0.7108 recall@top3: 0.8284 prec@top3: 0.6373 recall@top5: 0.9044 prec@top5: 0.4294 loss_action_cls: 0.0416 2022/12/03 20:17:01 - mmengine - INFO - Epoch(train) [6][3040/4451] lr: 5.6213e-02 eta: 1:42:34 time: 0.3204 data_time: 0.0119 memory: 8510 grad_norm: 0.1700 loss: 0.0461 recall@thr=0.5: 0.4924 prec@thr=0.5: 0.6515 recall@top3: 0.6439 prec@top3: 0.5909 recall@top5: 0.8258 prec@top5: 0.4364 loss_action_cls: 0.0461 2022/12/03 20:17:08 - mmengine - INFO - Epoch(train) [6][3060/4451] lr: 5.6125e-02 eta: 1:42:28 time: 0.3188 data_time: 0.0100 memory: 8510 grad_norm: 0.1678 loss: 0.0431 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7564 recall@top3: 0.7821 prec@top3: 0.6538 recall@top5: 0.9231 prec@top5: 0.4615 loss_action_cls: 0.0431 2022/12/03 20:17:14 - mmengine - INFO - Epoch(train) [6][3080/4451] lr: 5.6038e-02 eta: 1:42:22 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1696 loss: 0.0437 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.6700 recall@top3: 0.8267 prec@top3: 0.5067 recall@top5: 0.9200 prec@top5: 0.3520 loss_action_cls: 0.0437 2022/12/03 20:17:20 - mmengine - INFO - Epoch(train) [6][3100/4451] lr: 5.5950e-02 eta: 1:42:15 time: 0.3204 data_time: 0.0103 memory: 8510 grad_norm: 0.1702 loss: 0.0423 recall@thr=0.5: 0.5256 prec@thr=0.5: 0.6538 recall@top3: 0.8750 prec@top3: 0.5897 recall@top5: 0.8942 prec@top5: 0.3692 loss_action_cls: 0.0423 2022/12/03 20:17:27 - mmengine - INFO - Epoch(train) [6][3120/4451] lr: 5.5862e-02 eta: 1:42:09 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1716 loss: 0.0426 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.6548 recall@top3: 0.7500 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0426 2022/12/03 20:17:33 - mmengine - INFO - Epoch(train) [6][3140/4451] lr: 5.5775e-02 eta: 1:42:02 time: 0.3208 data_time: 0.0116 memory: 8510 grad_norm: 0.1741 loss: 0.0414 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8947 recall@top3: 0.8684 prec@top3: 0.5088 recall@top5: 0.9211 prec@top5: 0.3368 loss_action_cls: 0.0414 2022/12/03 20:17:40 - mmengine - INFO - Epoch(train) [6][3160/4451] lr: 5.5687e-02 eta: 1:41:56 time: 0.3218 data_time: 0.0099 memory: 8510 grad_norm: 0.1746 loss: 0.0421 recall@thr=0.5: 0.6975 prec@thr=0.5: 0.6975 recall@top3: 0.8519 prec@top3: 0.6049 recall@top5: 0.9630 prec@top5: 0.4148 loss_action_cls: 0.0421 2022/12/03 20:17:46 - mmengine - INFO - Epoch(train) [6][3180/4451] lr: 5.5599e-02 eta: 1:41:50 time: 0.3204 data_time: 0.0103 memory: 8510 grad_norm: 0.1690 loss: 0.0422 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.4479 recall@top3: 0.6146 prec@top3: 0.3750 recall@top5: 0.8958 prec@top5: 0.3750 loss_action_cls: 0.0422 2022/12/03 20:17:52 - mmengine - INFO - Epoch(train) [6][3200/4451] lr: 5.5512e-02 eta: 1:41:43 time: 0.3213 data_time: 0.0119 memory: 8510 grad_norm: 0.1827 loss: 0.0420 recall@thr=0.5: 0.7700 prec@thr=0.5: 0.8300 recall@top3: 0.7967 prec@top3: 0.8000 recall@top5: 0.9333 prec@top5: 0.5840 loss_action_cls: 0.0420 2022/12/03 20:17:59 - mmengine - INFO - Epoch(train) [6][3220/4451] lr: 5.5424e-02 eta: 1:41:37 time: 0.3213 data_time: 0.0099 memory: 8510 grad_norm: 0.1738 loss: 0.0432 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8095 recall@top3: 0.7302 prec@top3: 0.4921 recall@top5: 0.8889 prec@top5: 0.3714 loss_action_cls: 0.0432 2022/12/03 20:18:05 - mmengine - INFO - Epoch(train) [6][3240/4451] lr: 5.5336e-02 eta: 1:41:30 time: 0.3222 data_time: 0.0100 memory: 8510 grad_norm: 0.1684 loss: 0.0426 recall@thr=0.5: 0.5813 prec@thr=0.5: 0.6267 recall@top3: 0.7947 prec@top3: 0.5867 recall@top5: 0.9067 prec@top5: 0.4240 loss_action_cls: 0.0426 2022/12/03 20:18:12 - mmengine - INFO - Epoch(train) [6][3260/4451] lr: 5.5249e-02 eta: 1:41:24 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1748 loss: 0.0408 recall@thr=0.5: 0.6095 prec@thr=0.5: 0.6190 recall@top3: 0.7333 prec@top3: 0.5714 recall@top5: 0.8476 prec@top5: 0.3943 loss_action_cls: 0.0408 2022/12/03 20:18:18 - mmengine - INFO - Epoch(train) [6][3280/4451] lr: 5.5161e-02 eta: 1:41:18 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1760 loss: 0.0448 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.5833 recall@top3: 0.7667 prec@top3: 0.5167 recall@top5: 0.8250 prec@top5: 0.3400 loss_action_cls: 0.0448 2022/12/03 20:18:25 - mmengine - INFO - Epoch(train) [6][3300/4451] lr: 5.5073e-02 eta: 1:41:11 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1702 loss: 0.0411 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7262 recall@top3: 0.8571 prec@top3: 0.4762 recall@top5: 0.9286 prec@top5: 0.3429 loss_action_cls: 0.0411 2022/12/03 20:18:31 - mmengine - INFO - Epoch(train) [6][3320/4451] lr: 5.4985e-02 eta: 1:41:05 time: 0.3215 data_time: 0.0099 memory: 8510 grad_norm: 0.1700 loss: 0.0417 recall@thr=0.5: 0.3846 prec@thr=0.5: 0.5385 recall@top3: 0.6603 prec@top3: 0.4744 recall@top5: 0.7692 prec@top5: 0.3385 loss_action_cls: 0.0417 2022/12/03 20:18:37 - mmengine - INFO - Epoch(train) [6][3340/4451] lr: 5.4898e-02 eta: 1:40:58 time: 0.3204 data_time: 0.0125 memory: 8510 grad_norm: 0.1742 loss: 0.0417 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.6970 recall@top3: 0.8636 prec@top3: 0.4242 recall@top5: 0.9242 prec@top5: 0.2818 loss_action_cls: 0.0417 2022/12/03 20:18:44 - mmengine - INFO - Epoch(train) [6][3360/4451] lr: 5.4810e-02 eta: 1:40:52 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.1743 loss: 0.0389 recall@thr=0.5: 0.7275 prec@thr=0.5: 0.8768 recall@top3: 0.7884 prec@top3: 0.6812 recall@top5: 0.9159 prec@top5: 0.5043 loss_action_cls: 0.0389 2022/12/03 20:18:50 - mmengine - INFO - Epoch(train) [6][3380/4451] lr: 5.4722e-02 eta: 1:40:46 time: 0.3198 data_time: 0.0106 memory: 8510 grad_norm: 0.1764 loss: 0.0406 recall@thr=0.5: 0.4912 prec@thr=0.5: 0.5965 recall@top3: 0.7456 prec@top3: 0.6491 recall@top5: 0.9342 prec@top5: 0.5053 loss_action_cls: 0.0406 2022/12/03 20:18:57 - mmengine - INFO - Epoch(train) [6][3400/4451] lr: 5.4634e-02 eta: 1:40:39 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1699 loss: 0.0450 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7745 recall@top3: 0.7157 prec@top3: 0.5490 recall@top5: 0.9118 prec@top5: 0.4235 loss_action_cls: 0.0450 2022/12/03 20:19:03 - mmengine - INFO - Epoch(train) [6][3420/4451] lr: 5.4546e-02 eta: 1:40:33 time: 0.3212 data_time: 0.0113 memory: 8510 grad_norm: 0.1693 loss: 0.0422 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.5000 recall@top3: 0.8056 prec@top3: 0.5556 recall@top5: 0.8958 prec@top5: 0.3833 loss_action_cls: 0.0422 2022/12/03 20:19:09 - mmengine - INFO - Epoch(train) [6][3440/4451] lr: 5.4458e-02 eta: 1:40:26 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.1796 loss: 0.0469 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.7014 recall@top3: 0.7222 prec@top3: 0.6528 recall@top5: 0.9028 prec@top5: 0.4917 loss_action_cls: 0.0469 2022/12/03 20:19:16 - mmengine - INFO - Epoch(train) [6][3460/4451] lr: 5.4370e-02 eta: 1:40:20 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1799 loss: 0.0421 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8667 recall@top3: 0.9083 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0421 2022/12/03 20:19:22 - mmengine - INFO - Epoch(train) [6][3480/4451] lr: 5.4283e-02 eta: 1:40:14 time: 0.3200 data_time: 0.0100 memory: 8510 grad_norm: 0.1782 loss: 0.0386 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7421 recall@top3: 0.8810 prec@top3: 0.7143 recall@top5: 0.9643 prec@top5: 0.4857 loss_action_cls: 0.0386 2022/12/03 20:19:29 - mmengine - INFO - Epoch(train) [6][3500/4451] lr: 5.4195e-02 eta: 1:40:07 time: 0.3197 data_time: 0.0096 memory: 8510 grad_norm: 0.1778 loss: 0.0452 recall@thr=0.5: 0.9493 prec@thr=0.5: 0.7319 recall@top3: 0.9348 prec@top3: 0.6522 recall@top5: 0.9783 prec@top5: 0.4174 loss_action_cls: 0.0452 2022/12/03 20:19:35 - mmengine - INFO - Epoch(train) [6][3520/4451] lr: 5.4107e-02 eta: 1:40:01 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1742 loss: 0.0452 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.8295 recall@top3: 0.6871 prec@top3: 0.6970 recall@top5: 0.8015 prec@top5: 0.5091 loss_action_cls: 0.0452 2022/12/03 20:19:42 - mmengine - INFO - Epoch(train) [6][3540/4451] lr: 5.4019e-02 eta: 1:39:54 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1744 loss: 0.0450 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7083 recall@top3: 0.8148 prec@top3: 0.6667 recall@top5: 0.9815 prec@top5: 0.4778 loss_action_cls: 0.0450 2022/12/03 20:19:48 - mmengine - INFO - Epoch(train) [6][3560/4451] lr: 5.3931e-02 eta: 1:39:48 time: 0.3203 data_time: 0.0106 memory: 8510 grad_norm: 0.1709 loss: 0.0419 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.8235 recall@top3: 0.7990 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4706 loss_action_cls: 0.0419 2022/12/03 20:19:54 - mmengine - INFO - Epoch(train) [6][3580/4451] lr: 5.3843e-02 eta: 1:39:42 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1633 loss: 0.0435 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7273 recall@top3: 0.8864 prec@top3: 0.5909 recall@top5: 0.9242 prec@top5: 0.3727 loss_action_cls: 0.0435 2022/12/03 20:20:01 - mmengine - INFO - Epoch(train) [6][3600/4451] lr: 5.3755e-02 eta: 1:39:35 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1734 loss: 0.0434 recall@thr=0.5: 0.8860 prec@thr=0.5: 0.9474 recall@top3: 0.9825 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0434 2022/12/03 20:20:07 - mmengine - INFO - Epoch(train) [6][3620/4451] lr: 5.3667e-02 eta: 1:39:29 time: 0.3212 data_time: 0.0098 memory: 8510 grad_norm: 0.1721 loss: 0.0397 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7511 recall@top3: 0.8667 prec@top3: 0.7778 recall@top5: 0.9000 prec@top5: 0.4933 loss_action_cls: 0.0397 2022/12/03 20:20:14 - mmengine - INFO - Epoch(train) [6][3640/4451] lr: 5.3579e-02 eta: 1:39:22 time: 0.3205 data_time: 0.0105 memory: 8510 grad_norm: 0.1658 loss: 0.0423 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6597 recall@top3: 0.8000 prec@top3: 0.6389 recall@top5: 0.9382 prec@top5: 0.4750 loss_action_cls: 0.0423 2022/12/03 20:20:20 - mmengine - INFO - Epoch(train) [6][3660/4451] lr: 5.3491e-02 eta: 1:39:16 time: 0.3224 data_time: 0.0108 memory: 8510 grad_norm: 0.1717 loss: 0.0370 recall@thr=0.5: 0.5990 prec@thr=0.5: 0.6771 recall@top3: 0.8021 prec@top3: 0.6458 recall@top5: 0.9219 prec@top5: 0.4375 loss_action_cls: 0.0370 2022/12/03 20:20:26 - mmengine - INFO - Epoch(train) [6][3680/4451] lr: 5.3403e-02 eta: 1:39:10 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1678 loss: 0.0440 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7500 recall@top3: 0.8417 prec@top3: 0.5667 recall@top5: 0.9333 prec@top5: 0.3800 loss_action_cls: 0.0440 2022/12/03 20:20:33 - mmengine - INFO - Epoch(train) [6][3700/4451] lr: 5.3315e-02 eta: 1:39:03 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.1710 loss: 0.0429 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8917 recall@top3: 0.8833 prec@top3: 0.5667 recall@top5: 0.9583 prec@top5: 0.3900 loss_action_cls: 0.0429 2022/12/03 20:20:39 - mmengine - INFO - Epoch(train) [6][3720/4451] lr: 5.3227e-02 eta: 1:38:57 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.1762 loss: 0.0438 recall@thr=0.5: 0.5533 prec@thr=0.5: 0.5267 recall@top3: 0.7400 prec@top3: 0.4800 recall@top5: 0.8033 prec@top5: 0.3200 loss_action_cls: 0.0438 2022/12/03 20:20:46 - mmengine - INFO - Epoch(train) [6][3740/4451] lr: 5.3139e-02 eta: 1:38:50 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1651 loss: 0.0395 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6875 recall@top3: 0.8264 prec@top3: 0.4722 recall@top5: 0.9097 prec@top5: 0.3083 loss_action_cls: 0.0395 2022/12/03 20:20:47 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:20:52 - mmengine - INFO - Epoch(train) [6][3760/4451] lr: 5.3051e-02 eta: 1:38:44 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1621 loss: 0.0384 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.7372 recall@top3: 0.8109 prec@top3: 0.7051 recall@top5: 0.8718 prec@top5: 0.4538 loss_action_cls: 0.0384 2022/12/03 20:20:59 - mmengine - INFO - Epoch(train) [6][3780/4451] lr: 5.2963e-02 eta: 1:38:38 time: 0.3205 data_time: 0.0106 memory: 8510 grad_norm: 0.1642 loss: 0.0430 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.6471 recall@top3: 0.7353 prec@top3: 0.3922 recall@top5: 0.8137 prec@top5: 0.2706 loss_action_cls: 0.0430 2022/12/03 20:21:05 - mmengine - INFO - Epoch(train) [6][3800/4451] lr: 5.2875e-02 eta: 1:38:31 time: 0.3190 data_time: 0.0105 memory: 8510 grad_norm: 0.1796 loss: 0.0441 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.8125 recall@top3: 0.8021 prec@top3: 0.7500 recall@top5: 0.9375 prec@top5: 0.5375 loss_action_cls: 0.0441 2022/12/03 20:21:11 - mmengine - INFO - Epoch(train) [6][3820/4451] lr: 5.2787e-02 eta: 1:38:25 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1696 loss: 0.0464 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7889 recall@top3: 0.8889 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.4467 loss_action_cls: 0.0464 2022/12/03 20:21:18 - mmengine - INFO - Epoch(train) [6][3840/4451] lr: 5.2698e-02 eta: 1:38:18 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1728 loss: 0.0417 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7333 recall@top3: 0.9667 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0417 2022/12/03 20:21:24 - mmengine - INFO - Epoch(train) [6][3860/4451] lr: 5.2610e-02 eta: 1:38:12 time: 0.3199 data_time: 0.0098 memory: 8510 grad_norm: 0.1749 loss: 0.0417 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7222 recall@top3: 0.9352 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0417 2022/12/03 20:21:31 - mmengine - INFO - Epoch(train) [6][3880/4451] lr: 5.2522e-02 eta: 1:38:05 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1745 loss: 0.0416 recall@thr=0.5: 0.5483 prec@thr=0.5: 0.6583 recall@top3: 0.6550 prec@top3: 0.7000 recall@top5: 0.8983 prec@top5: 0.5900 loss_action_cls: 0.0416 2022/12/03 20:21:37 - mmengine - INFO - Epoch(train) [6][3900/4451] lr: 5.2434e-02 eta: 1:37:59 time: 0.3198 data_time: 0.0100 memory: 8510 grad_norm: 0.1788 loss: 0.0408 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.8654 recall@top3: 0.8141 prec@top3: 0.6923 recall@top5: 0.9808 prec@top5: 0.4923 loss_action_cls: 0.0408 2022/12/03 20:21:43 - mmengine - INFO - Epoch(train) [6][3920/4451] lr: 5.2346e-02 eta: 1:37:53 time: 0.3193 data_time: 0.0102 memory: 8510 grad_norm: 0.1710 loss: 0.0427 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.6667 recall@top3: 0.8485 prec@top3: 0.5758 recall@top5: 0.9167 prec@top5: 0.3818 loss_action_cls: 0.0427 2022/12/03 20:21:50 - mmengine - INFO - Epoch(train) [6][3940/4451] lr: 5.2258e-02 eta: 1:37:46 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1713 loss: 0.0400 recall@thr=0.5: 0.6687 prec@thr=0.5: 0.8333 recall@top3: 0.8917 prec@top3: 0.5937 recall@top5: 0.9406 prec@top5: 0.3875 loss_action_cls: 0.0400 2022/12/03 20:21:56 - mmengine - INFO - Epoch(train) [6][3960/4451] lr: 5.2170e-02 eta: 1:37:40 time: 0.3205 data_time: 0.0121 memory: 8510 grad_norm: 0.1816 loss: 0.0408 recall@thr=0.5: 0.6241 prec@thr=0.5: 0.7040 recall@top3: 0.7770 prec@top3: 0.7356 recall@top5: 0.9569 prec@top5: 0.5586 loss_action_cls: 0.0408 2022/12/03 20:22:03 - mmengine - INFO - Epoch(train) [6][3980/4451] lr: 5.2082e-02 eta: 1:37:33 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1738 loss: 0.0409 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7333 recall@top3: 0.8167 prec@top3: 0.5833 recall@top5: 0.8833 prec@top5: 0.4000 loss_action_cls: 0.0409 2022/12/03 20:22:09 - mmengine - INFO - Epoch(train) [6][4000/4451] lr: 5.1993e-02 eta: 1:37:27 time: 0.3207 data_time: 0.0103 memory: 8510 grad_norm: 0.1774 loss: 0.0440 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.7308 recall@top3: 0.8654 prec@top3: 0.5385 recall@top5: 0.8846 prec@top5: 0.3385 loss_action_cls: 0.0440 2022/12/03 20:22:15 - mmengine - INFO - Epoch(train) [6][4020/4451] lr: 5.1905e-02 eta: 1:37:21 time: 0.3226 data_time: 0.0124 memory: 8510 grad_norm: 0.1657 loss: 0.0414 recall@thr=0.5: 0.9259 prec@thr=0.5: 0.8395 recall@top3: 0.9198 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0414 2022/12/03 20:22:22 - mmengine - INFO - Epoch(train) [6][4040/4451] lr: 5.1817e-02 eta: 1:37:14 time: 0.3211 data_time: 0.0105 memory: 8510 grad_norm: 0.1765 loss: 0.0379 recall@thr=0.5: 0.7864 prec@thr=0.5: 0.7531 recall@top3: 0.8679 prec@top3: 0.7901 recall@top5: 0.9123 prec@top5: 0.5037 loss_action_cls: 0.0379 2022/12/03 20:22:28 - mmengine - INFO - Epoch(train) [6][4060/4451] lr: 5.1729e-02 eta: 1:37:08 time: 0.3204 data_time: 0.0107 memory: 8510 grad_norm: 0.1730 loss: 0.0427 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6548 recall@top3: 0.7143 prec@top3: 0.4048 recall@top5: 0.8810 prec@top5: 0.2857 loss_action_cls: 0.0427 2022/12/03 20:22:35 - mmengine - INFO - Epoch(train) [6][4080/4451] lr: 5.1641e-02 eta: 1:37:01 time: 0.3207 data_time: 0.0115 memory: 8510 grad_norm: 0.1730 loss: 0.0414 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.6278 recall@top3: 0.7778 prec@top3: 0.5333 recall@top5: 0.9556 prec@top5: 0.3867 loss_action_cls: 0.0414 2022/12/03 20:22:41 - mmengine - INFO - Epoch(train) [6][4100/4451] lr: 5.1553e-02 eta: 1:36:55 time: 0.3201 data_time: 0.0103 memory: 8510 grad_norm: 0.1718 loss: 0.0436 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7840 recall@top3: 0.7901 prec@top3: 0.6914 recall@top5: 0.9198 prec@top5: 0.5037 loss_action_cls: 0.0436 2022/12/03 20:22:47 - mmengine - INFO - Epoch(train) [6][4120/4451] lr: 5.1464e-02 eta: 1:36:49 time: 0.3210 data_time: 0.0102 memory: 8510 grad_norm: 0.1685 loss: 0.0474 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6667 recall@top3: 0.7667 prec@top3: 0.5778 recall@top5: 0.9000 prec@top5: 0.4133 loss_action_cls: 0.0474 2022/12/03 20:22:54 - mmengine - INFO - Epoch(train) [6][4140/4451] lr: 5.1376e-02 eta: 1:36:42 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1674 loss: 0.0439 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8287 recall@top3: 0.8889 prec@top3: 0.7407 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0439 2022/12/03 20:23:00 - mmengine - INFO - Epoch(train) [6][4160/4451] lr: 5.1288e-02 eta: 1:36:36 time: 0.3209 data_time: 0.0102 memory: 8510 grad_norm: 0.1741 loss: 0.0442 recall@thr=0.5: 0.4655 prec@thr=0.5: 0.5230 recall@top3: 0.7644 prec@top3: 0.4828 recall@top5: 0.8879 prec@top5: 0.3310 loss_action_cls: 0.0442 2022/12/03 20:23:07 - mmengine - INFO - Epoch(train) [6][4180/4451] lr: 5.1200e-02 eta: 1:36:29 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1727 loss: 0.0403 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.7063 recall@top3: 0.8254 prec@top3: 0.6667 recall@top5: 0.8730 prec@top5: 0.4286 loss_action_cls: 0.0403 2022/12/03 20:23:13 - mmengine - INFO - Epoch(train) [6][4200/4451] lr: 5.1112e-02 eta: 1:36:23 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1820 loss: 0.0434 recall@thr=0.5: 0.4090 prec@thr=0.5: 0.4679 recall@top3: 0.5500 prec@top3: 0.4359 recall@top5: 0.8410 prec@top5: 0.4154 loss_action_cls: 0.0434 2022/12/03 20:23:20 - mmengine - INFO - Epoch(train) [6][4220/4451] lr: 5.1023e-02 eta: 1:36:17 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.1730 loss: 0.0369 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8013 recall@top3: 0.8974 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4154 loss_action_cls: 0.0369 2022/12/03 20:23:26 - mmengine - INFO - Epoch(train) [6][4240/4451] lr: 5.0935e-02 eta: 1:36:10 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1701 loss: 0.0427 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8571 recall@top3: 0.8690 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4095 loss_action_cls: 0.0427 2022/12/03 20:23:32 - mmengine - INFO - Epoch(train) [6][4260/4451] lr: 5.0847e-02 eta: 1:36:04 time: 0.3200 data_time: 0.0108 memory: 8510 grad_norm: 0.1761 loss: 0.0502 recall@thr=0.5: 0.5128 prec@thr=0.5: 0.5422 recall@top3: 0.7122 prec@top3: 0.6222 recall@top5: 0.8117 prec@top5: 0.4467 loss_action_cls: 0.0502 2022/12/03 20:23:39 - mmengine - INFO - Epoch(train) [6][4280/4451] lr: 5.0759e-02 eta: 1:35:57 time: 0.3198 data_time: 0.0098 memory: 8510 grad_norm: 0.1681 loss: 0.0400 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.5364 recall@top3: 0.7273 prec@top3: 0.5303 recall@top5: 0.9091 prec@top5: 0.4091 loss_action_cls: 0.0400 2022/12/03 20:23:45 - mmengine - INFO - Epoch(train) [6][4300/4451] lr: 5.0671e-02 eta: 1:35:51 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.1702 loss: 0.0458 recall@thr=0.5: 0.6263 prec@thr=0.5: 0.6842 recall@top3: 0.8105 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4737 loss_action_cls: 0.0458 2022/12/03 20:23:52 - mmengine - INFO - Epoch(train) [6][4320/4451] lr: 5.0582e-02 eta: 1:35:45 time: 0.3211 data_time: 0.0098 memory: 8510 grad_norm: 0.1776 loss: 0.0418 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6389 recall@top3: 0.7454 prec@top3: 0.6111 recall@top5: 0.8148 prec@top5: 0.4222 loss_action_cls: 0.0418 2022/12/03 20:23:58 - mmengine - INFO - Epoch(train) [6][4340/4451] lr: 5.0494e-02 eta: 1:35:38 time: 0.3205 data_time: 0.0112 memory: 8510 grad_norm: 0.1718 loss: 0.0429 recall@thr=0.5: 0.6133 prec@thr=0.5: 0.6733 recall@top3: 0.8800 prec@top3: 0.5733 recall@top5: 1.0000 prec@top5: 0.4080 loss_action_cls: 0.0429 2022/12/03 20:24:04 - mmengine - INFO - Epoch(train) [6][4360/4451] lr: 5.0406e-02 eta: 1:35:32 time: 0.3199 data_time: 0.0102 memory: 8510 grad_norm: 0.1776 loss: 0.0429 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5312 recall@top3: 0.7188 prec@top3: 0.4583 recall@top5: 0.8438 prec@top5: 0.3250 loss_action_cls: 0.0429 2022/12/03 20:24:11 - mmengine - INFO - Epoch(train) [6][4380/4451] lr: 5.0318e-02 eta: 1:35:25 time: 0.3206 data_time: 0.0115 memory: 8510 grad_norm: 0.1759 loss: 0.0424 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.7454 recall@top3: 0.8148 prec@top3: 0.7407 recall@top5: 0.9722 prec@top5: 0.5444 loss_action_cls: 0.0424 2022/12/03 20:24:17 - mmengine - INFO - Epoch(train) [6][4400/4451] lr: 5.0229e-02 eta: 1:35:19 time: 0.3209 data_time: 0.0120 memory: 8510 grad_norm: 0.1773 loss: 0.0445 recall@thr=0.5: 0.4414 prec@thr=0.5: 0.5679 recall@top3: 0.6543 prec@top3: 0.5802 recall@top5: 0.8673 prec@top5: 0.4593 loss_action_cls: 0.0445 2022/12/03 20:24:24 - mmengine - INFO - Epoch(train) [6][4420/4451] lr: 5.0141e-02 eta: 1:35:13 time: 0.3218 data_time: 0.0103 memory: 8510 grad_norm: 0.1676 loss: 0.0374 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8431 recall@top3: 0.8627 prec@top3: 0.6078 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0374 2022/12/03 20:24:30 - mmengine - INFO - Epoch(train) [6][4440/4451] lr: 5.0053e-02 eta: 1:35:06 time: 0.3190 data_time: 0.0103 memory: 8510 grad_norm: 0.1743 loss: 0.0391 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6556 recall@top3: 0.8167 prec@top3: 0.5111 recall@top5: 0.9778 prec@top5: 0.3867 loss_action_cls: 0.0391 2022/12/03 20:24:33 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:24:33 - mmengine - INFO - Epoch(train) [6][4451/4451] lr: 5.0004e-02 eta: 1:35:03 time: 0.3150 data_time: 0.0113 memory: 8510 grad_norm: 0.1728 loss: 0.0469 recall@thr=0.5: 0.4111 prec@thr=0.5: 0.5111 recall@top3: 0.6444 prec@top3: 0.4889 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0469 2022/12/03 20:24:33 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/12/03 20:24:39 - mmengine - INFO - Epoch(val) [6][ 20/6282] eta: 0:04:26 time: 0.0425 data_time: 0.0071 memory: 661 2022/12/03 20:24:39 - mmengine - INFO - Epoch(val) [6][ 40/6282] eta: 0:04:13 time: 0.0386 data_time: 0.0043 memory: 661 2022/12/03 20:24:40 - mmengine - INFO - Epoch(val) [6][ 60/6282] eta: 0:04:06 time: 0.0378 data_time: 0.0049 memory: 661 2022/12/03 20:24:41 - mmengine - INFO - Epoch(val) [6][ 80/6282] eta: 0:04:06 time: 0.0401 data_time: 0.0048 memory: 661 2022/12/03 20:24:42 - mmengine - INFO - Epoch(val) [6][ 100/6282] eta: 0:04:02 time: 0.0370 data_time: 0.0045 memory: 661 2022/12/03 20:24:43 - mmengine - INFO - Epoch(val) [6][ 120/6282] eta: 0:04:05 time: 0.0433 data_time: 0.0036 memory: 732 2022/12/03 20:24:44 - mmengine - INFO - Epoch(val) [6][ 140/6282] eta: 0:04:11 time: 0.0475 data_time: 0.0047 memory: 732 2022/12/03 20:24:44 - mmengine - INFO - Epoch(val) [6][ 160/6282] eta: 0:04:16 time: 0.0480 data_time: 0.0048 memory: 732 2022/12/03 20:24:46 - mmengine - INFO - Epoch(val) [6][ 180/6282] eta: 0:04:21 time: 0.0514 data_time: 0.0059 memory: 732 2022/12/03 20:24:47 - mmengine - INFO - Epoch(val) [6][ 200/6282] eta: 0:04:26 time: 0.0514 data_time: 0.0061 memory: 732 2022/12/03 20:24:48 - mmengine - INFO - Epoch(val) [6][ 220/6282] eta: 0:04:27 time: 0.0471 data_time: 0.0068 memory: 674 2022/12/03 20:24:48 - mmengine - INFO - Epoch(val) [6][ 240/6282] eta: 0:04:27 time: 0.0460 data_time: 0.0050 memory: 674 2022/12/03 20:24:49 - mmengine - INFO - Epoch(val) [6][ 260/6282] eta: 0:04:26 time: 0.0447 data_time: 0.0064 memory: 674 2022/12/03 20:24:50 - mmengine - INFO - Epoch(val) [6][ 280/6282] eta: 0:04:24 time: 0.0420 data_time: 0.0049 memory: 674 2022/12/03 20:24:51 - mmengine - INFO - Epoch(val) [6][ 300/6282] eta: 0:04:23 time: 0.0423 data_time: 0.0045 memory: 732 2022/12/03 20:24:52 - mmengine - INFO - Epoch(val) [6][ 320/6282] eta: 0:04:24 time: 0.0502 data_time: 0.0050 memory: 732 2022/12/03 20:24:53 - mmengine - INFO - Epoch(val) [6][ 340/6282] eta: 0:04:24 time: 0.0468 data_time: 0.0053 memory: 732 2022/12/03 20:24:54 - mmengine - INFO - Epoch(val) [6][ 360/6282] eta: 0:04:25 time: 0.0500 data_time: 0.0060 memory: 732 2022/12/03 20:24:55 - mmengine - INFO - Epoch(val) [6][ 380/6282] eta: 0:04:26 time: 0.0499 data_time: 0.0062 memory: 732 2022/12/03 20:24:56 - mmengine - INFO - Epoch(val) [6][ 400/6282] eta: 0:04:25 time: 0.0448 data_time: 0.0038 memory: 732 2022/12/03 20:24:57 - mmengine - INFO - Epoch(val) [6][ 420/6282] eta: 0:04:24 time: 0.0449 data_time: 0.0053 memory: 678 2022/12/03 20:24:58 - mmengine - INFO - Epoch(val) [6][ 440/6282] eta: 0:04:22 time: 0.0425 data_time: 0.0047 memory: 678 2022/12/03 20:24:59 - mmengine - INFO - Epoch(val) [6][ 460/6282] eta: 0:04:21 time: 0.0445 data_time: 0.0051 memory: 678 2022/12/03 20:24:59 - mmengine - INFO - Epoch(val) [6][ 480/6282] eta: 0:04:20 time: 0.0426 data_time: 0.0042 memory: 678 2022/12/03 20:25:00 - mmengine - INFO - Epoch(val) [6][ 500/6282] eta: 0:04:18 time: 0.0410 data_time: 0.0042 memory: 678 2022/12/03 20:25:01 - mmengine - INFO - Epoch(val) [6][ 520/6282] eta: 0:04:16 time: 0.0425 data_time: 0.0053 memory: 674 2022/12/03 20:25:02 - mmengine - INFO - Epoch(val) [6][ 540/6282] eta: 0:04:15 time: 0.0430 data_time: 0.0049 memory: 674 2022/12/03 20:25:03 - mmengine - INFO - Epoch(val) [6][ 560/6282] eta: 0:04:14 time: 0.0411 data_time: 0.0050 memory: 674 2022/12/03 20:25:04 - mmengine - INFO - Epoch(val) [6][ 580/6282] eta: 0:04:14 time: 0.0513 data_time: 0.0070 memory: 674 2022/12/03 20:25:05 - mmengine - INFO - Epoch(val) [6][ 600/6282] eta: 0:04:14 time: 0.0490 data_time: 0.0056 memory: 674 2022/12/03 20:25:06 - mmengine - INFO - Epoch(val) [6][ 620/6282] eta: 0:04:14 time: 0.0512 data_time: 0.0079 memory: 674 2022/12/03 20:25:07 - mmengine - INFO - Epoch(val) [6][ 640/6282] eta: 0:04:15 time: 0.0531 data_time: 0.0098 memory: 670 2022/12/03 20:25:08 - mmengine - INFO - Epoch(val) [6][ 660/6282] eta: 0:04:16 time: 0.0549 data_time: 0.0071 memory: 670 2022/12/03 20:25:09 - mmengine - INFO - Epoch(val) [6][ 680/6282] eta: 0:04:16 time: 0.0509 data_time: 0.0071 memory: 670 2022/12/03 20:25:10 - mmengine - INFO - Epoch(val) [6][ 700/6282] eta: 0:04:15 time: 0.0487 data_time: 0.0075 memory: 670 2022/12/03 20:25:11 - mmengine - INFO - Epoch(val) [6][ 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time: 0.0453 data_time: 0.0056 memory: 674 2022/12/03 20:25:19 - mmengine - INFO - Epoch(val) [6][ 900/6282] eta: 0:04:07 time: 0.0418 data_time: 0.0068 memory: 674 2022/12/03 20:25:20 - mmengine - INFO - Epoch(val) [6][ 920/6282] eta: 0:04:06 time: 0.0420 data_time: 0.0067 memory: 674 2022/12/03 20:25:21 - mmengine - INFO - Epoch(val) [6][ 940/6282] eta: 0:04:04 time: 0.0428 data_time: 0.0050 memory: 661 2022/12/03 20:25:22 - mmengine - INFO - Epoch(val) [6][ 960/6282] eta: 0:04:03 time: 0.0419 data_time: 0.0046 memory: 661 2022/12/03 20:25:23 - mmengine - INFO - Epoch(val) [6][ 980/6282] eta: 0:04:01 time: 0.0384 data_time: 0.0043 memory: 661 2022/12/03 20:25:24 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:04:00 time: 0.0411 data_time: 0.0052 memory: 661 2022/12/03 20:25:24 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:03:59 time: 0.0431 data_time: 0.0043 memory: 674 2022/12/03 20:25:25 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:03:58 time: 0.0435 data_time: 0.0069 memory: 674 2022/12/03 20:25:26 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:03:57 time: 0.0484 data_time: 0.0073 memory: 674 2022/12/03 20:25:27 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:03:57 time: 0.0510 data_time: 0.0095 memory: 674 2022/12/03 20:25:28 - mmengine - INFO - Epoch(val) [6][1100/6282] eta: 0:03:56 time: 0.0487 data_time: 0.0071 memory: 674 2022/12/03 20:25:29 - mmengine - INFO - Epoch(val) [6][1120/6282] eta: 0:03:56 time: 0.0539 data_time: 0.0090 memory: 674 2022/12/03 20:25:30 - mmengine - INFO - Epoch(val) [6][1140/6282] eta: 0:03:55 time: 0.0501 data_time: 0.0062 memory: 674 2022/12/03 20:25:31 - mmengine - INFO - Epoch(val) [6][1160/6282] eta: 0:03:55 time: 0.0536 data_time: 0.0101 memory: 674 2022/12/03 20:25:33 - mmengine - INFO - Epoch(val) [6][1180/6282] eta: 0:03:55 time: 0.0521 data_time: 0.0087 memory: 674 2022/12/03 20:25:34 - mmengine - INFO - Epoch(val) [6][1200/6282] eta: 0:03:55 time: 0.0568 data_time: 0.0106 memory: 674 2022/12/03 20:25:35 - mmengine - INFO - Epoch(val) [6][1220/6282] eta: 0:03:55 time: 0.0566 data_time: 0.0091 memory: 674 2022/12/03 20:25:36 - mmengine - INFO - Epoch(val) [6][1240/6282] eta: 0:03:55 time: 0.0632 data_time: 0.0095 memory: 732 2022/12/03 20:25:37 - mmengine - INFO - Epoch(val) [6][1260/6282] eta: 0:03:55 time: 0.0609 data_time: 0.0077 memory: 732 2022/12/03 20:25:38 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:03:55 time: 0.0542 data_time: 0.0060 memory: 732 2022/12/03 20:25:39 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:03:55 time: 0.0543 data_time: 0.0065 memory: 732 2022/12/03 20:25:41 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:03:54 time: 0.0535 data_time: 0.0058 memory: 732 2022/12/03 20:25:42 - mmengine - INFO - Epoch(val) [6][1340/6282] eta: 0:03:53 time: 0.0494 data_time: 0.0048 memory: 732 2022/12/03 20:25:43 - mmengine - INFO - Epoch(val) [6][1360/6282] eta: 0:03:52 time: 0.0468 data_time: 0.0050 memory: 732 2022/12/03 20:25:43 - mmengine - INFO - Epoch(val) [6][1380/6282] eta: 0:03:51 time: 0.0469 data_time: 0.0045 memory: 732 2022/12/03 20:25:44 - mmengine - INFO - Epoch(val) [6][1400/6282] eta: 0:03:50 time: 0.0467 data_time: 0.0046 memory: 732 2022/12/03 20:25:45 - mmengine - INFO - Epoch(val) [6][1420/6282] eta: 0:03:49 time: 0.0434 data_time: 0.0043 memory: 732 2022/12/03 20:25:46 - mmengine - INFO - Epoch(val) [6][1440/6282] eta: 0:03:48 time: 0.0443 data_time: 0.0044 memory: 732 2022/12/03 20:25:47 - mmengine - INFO - Epoch(val) [6][1460/6282] eta: 0:03:47 time: 0.0427 data_time: 0.0041 memory: 732 2022/12/03 20:25:48 - mmengine - INFO - Epoch(val) [6][1480/6282] eta: 0:03:46 time: 0.0434 data_time: 0.0046 memory: 732 2022/12/03 20:25:49 - mmengine - INFO - Epoch(val) [6][1500/6282] eta: 0:03:44 time: 0.0449 data_time: 0.0049 memory: 732 2022/12/03 20:25:50 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:03:43 time: 0.0458 data_time: 0.0056 memory: 819 2022/12/03 20:25:51 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:03:43 time: 0.0487 data_time: 0.0037 memory: 819 2022/12/03 20:25:52 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:03:42 time: 0.0475 data_time: 0.0034 memory: 819 2022/12/03 20:25:53 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:03:41 time: 0.0470 data_time: 0.0030 memory: 819 2022/12/03 20:25:54 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:03:40 time: 0.0485 data_time: 0.0031 memory: 819 2022/12/03 20:25:55 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:03:39 time: 0.0482 data_time: 0.0038 memory: 819 2022/12/03 20:25:55 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:03:38 time: 0.0433 data_time: 0.0039 memory: 732 2022/12/03 20:25:56 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:03:37 time: 0.0490 data_time: 0.0056 memory: 732 2022/12/03 20:25:57 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:03:36 time: 0.0503 data_time: 0.0058 memory: 732 2022/12/03 20:25:58 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:03:36 time: 0.0522 data_time: 0.0054 memory: 732 2022/12/03 20:25:59 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:03:35 time: 0.0507 data_time: 0.0067 memory: 732 2022/12/03 20:26:01 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:03:34 time: 0.0575 data_time: 0.0076 memory: 732 2022/12/03 20:26:02 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:03:34 time: 0.0518 data_time: 0.0062 memory: 732 2022/12/03 20:26:03 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:03:33 time: 0.0495 data_time: 0.0054 memory: 732 2022/12/03 20:26:04 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:03:32 time: 0.0528 data_time: 0.0086 memory: 732 2022/12/03 20:26:05 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:03:31 time: 0.0512 data_time: 0.0066 memory: 732 2022/12/03 20:26:06 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:03:31 time: 0.0489 data_time: 0.0054 memory: 732 2022/12/03 20:26:07 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:03:30 time: 0.0534 data_time: 0.0083 memory: 732 2022/12/03 20:26:08 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:03:29 time: 0.0509 data_time: 0.0063 memory: 732 2022/12/03 20:26:09 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:03:28 time: 0.0493 data_time: 0.0042 memory: 732 2022/12/03 20:26:10 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:03:27 time: 0.0479 data_time: 0.0040 memory: 732 2022/12/03 20:26:11 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:03:26 time: 0.0449 data_time: 0.0048 memory: 732 2022/12/03 20:26:12 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:03:25 time: 0.0430 data_time: 0.0041 memory: 678 2022/12/03 20:26:12 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:03:24 time: 0.0440 data_time: 0.0063 memory: 678 2022/12/03 20:26:13 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:03:23 time: 0.0435 data_time: 0.0072 memory: 678 2022/12/03 20:26:14 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:03:22 time: 0.0440 data_time: 0.0056 memory: 678 2022/12/03 20:26:15 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:03:20 time: 0.0406 data_time: 0.0054 memory: 678 2022/12/03 20:26:16 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:03:19 time: 0.0430 data_time: 0.0051 memory: 678 2022/12/03 20:26:17 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:03:18 time: 0.0451 data_time: 0.0044 memory: 678 2022/12/03 20:26:18 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:03:17 time: 0.0426 data_time: 0.0041 memory: 678 2022/12/03 20:26:19 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:03:16 time: 0.0429 data_time: 0.0051 memory: 678 2022/12/03 20:26:19 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:03:15 time: 0.0432 data_time: 0.0046 memory: 678 2022/12/03 20:26:20 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:03:14 time: 0.0447 data_time: 0.0050 memory: 674 2022/12/03 20:26:21 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:03:13 time: 0.0444 data_time: 0.0059 memory: 674 2022/12/03 20:26:22 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:03:12 time: 0.0422 data_time: 0.0041 memory: 674 2022/12/03 20:26:23 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:03:11 time: 0.0439 data_time: 0.0049 memory: 674 2022/12/03 20:26:24 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:03:10 time: 0.0433 data_time: 0.0060 memory: 674 2022/12/03 20:26:25 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:03:08 time: 0.0424 data_time: 0.0045 memory: 678 2022/12/03 20:26:26 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:03:07 time: 0.0440 data_time: 0.0054 memory: 678 2022/12/03 20:26:26 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:03:06 time: 0.0445 data_time: 0.0056 memory: 678 2022/12/03 20:26:27 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:03:05 time: 0.0437 data_time: 0.0060 memory: 678 2022/12/03 20:26:28 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:03:04 time: 0.0462 data_time: 0.0065 memory: 678 2022/12/03 20:26:29 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:03:04 time: 0.0527 data_time: 0.0072 memory: 674 2022/12/03 20:26:30 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:03:03 time: 0.0489 data_time: 0.0053 memory: 674 2022/12/03 20:26:31 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:03:02 time: 0.0525 data_time: 0.0076 memory: 674 2022/12/03 20:26:32 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:03:01 time: 0.0459 data_time: 0.0061 memory: 674 2022/12/03 20:26:33 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:03:00 time: 0.0441 data_time: 0.0069 memory: 674 2022/12/03 20:26:34 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:02:59 time: 0.0475 data_time: 0.0039 memory: 732 2022/12/03 20:26:35 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:02:58 time: 0.0464 data_time: 0.0047 memory: 732 2022/12/03 20:26:36 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:02:57 time: 0.0532 data_time: 0.0065 memory: 732 2022/12/03 20:26:37 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:02:57 time: 0.0496 data_time: 0.0054 memory: 732 2022/12/03 20:26:38 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:02:56 time: 0.0493 data_time: 0.0061 memory: 732 2022/12/03 20:26:39 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:02:55 time: 0.0565 data_time: 0.0081 memory: 732 2022/12/03 20:26:40 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:02:54 time: 0.0545 data_time: 0.0083 memory: 732 2022/12/03 20:26:41 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:02:53 time: 0.0519 data_time: 0.0054 memory: 732 2022/12/03 20:26:42 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:02:53 time: 0.0485 data_time: 0.0046 memory: 732 2022/12/03 20:26:43 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:02:52 time: 0.0499 data_time: 0.0055 memory: 732 2022/12/03 20:26:44 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:02:51 time: 0.0528 data_time: 0.0047 memory: 811 2022/12/03 20:26:46 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:02:50 time: 0.0540 data_time: 0.0058 memory: 811 2022/12/03 20:26:47 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:02:49 time: 0.0507 data_time: 0.0028 memory: 811 2022/12/03 20:26:48 - mmengine - INFO - Epoch(val) [6][2720/6282] eta: 0:02:48 time: 0.0535 data_time: 0.0060 memory: 811 2022/12/03 20:26:49 - mmengine - INFO - Epoch(val) [6][2740/6282] eta: 0:02:48 time: 0.0504 data_time: 0.0031 memory: 811 2022/12/03 20:26:50 - mmengine - INFO - Epoch(val) [6][2760/6282] eta: 0:02:46 time: 0.0419 data_time: 0.0048 memory: 678 2022/12/03 20:26:50 - mmengine - INFO - Epoch(val) [6][2780/6282] eta: 0:02:45 time: 0.0430 data_time: 0.0055 memory: 678 2022/12/03 20:26:51 - mmengine - INFO - Epoch(val) [6][2800/6282] eta: 0:02:44 time: 0.0426 data_time: 0.0057 memory: 678 2022/12/03 20:26:52 - mmengine - INFO - Epoch(val) [6][2820/6282] eta: 0:02:43 time: 0.0404 data_time: 0.0046 memory: 678 2022/12/03 20:26:53 - mmengine - INFO - Epoch(val) [6][2840/6282] eta: 0:02:42 time: 0.0416 data_time: 0.0062 memory: 678 2022/12/03 20:26:54 - mmengine - INFO - Epoch(val) [6][2860/6282] eta: 0:02:41 time: 0.0453 data_time: 0.0063 memory: 732 2022/12/03 20:26:55 - mmengine - INFO - Epoch(val) [6][2880/6282] eta: 0:02:40 time: 0.0463 data_time: 0.0040 memory: 732 2022/12/03 20:26:56 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:02:39 time: 0.0483 data_time: 0.0067 memory: 732 2022/12/03 20:26:57 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:02:38 time: 0.0451 data_time: 0.0046 memory: 732 2022/12/03 20:26:58 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:02:37 time: 0.0435 data_time: 0.0060 memory: 701 2022/12/03 20:26:58 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:02:36 time: 0.0428 data_time: 0.0045 memory: 701 2022/12/03 20:26:59 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:02:35 time: 0.0431 data_time: 0.0049 memory: 701 2022/12/03 20:27:00 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:02:34 time: 0.0427 data_time: 0.0052 memory: 701 2022/12/03 20:27:01 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:02:33 time: 0.0456 data_time: 0.0048 memory: 732 2022/12/03 20:27:02 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:02:32 time: 0.0450 data_time: 0.0042 memory: 732 2022/12/03 20:27:03 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:02:31 time: 0.0447 data_time: 0.0045 memory: 732 2022/12/03 20:27:04 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:02:30 time: 0.0448 data_time: 0.0044 memory: 732 2022/12/03 20:27:05 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:02:29 time: 0.0437 data_time: 0.0048 memory: 732 2022/12/03 20:27:05 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:02:28 time: 0.0405 data_time: 0.0029 memory: 678 2022/12/03 20:27:06 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:02:27 time: 0.0419 data_time: 0.0045 memory: 678 2022/12/03 20:27:07 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:02:26 time: 0.0430 data_time: 0.0073 memory: 678 2022/12/03 20:27:08 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:02:25 time: 0.0410 data_time: 0.0036 memory: 678 2022/12/03 20:27:09 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:02:24 time: 0.0485 data_time: 0.0062 memory: 732 2022/12/03 20:27:10 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:02:23 time: 0.0487 data_time: 0.0064 memory: 732 2022/12/03 20:27:11 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:02:22 time: 0.0468 data_time: 0.0060 memory: 732 2022/12/03 20:27:12 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:02:21 time: 0.0466 data_time: 0.0044 memory: 732 2022/12/03 20:27:13 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:02:20 time: 0.0472 data_time: 0.0054 memory: 732 2022/12/03 20:27:14 - mmengine - INFO - Epoch(val) [6][3300/6282] eta: 0:02:19 time: 0.0476 data_time: 0.0055 memory: 732 2022/12/03 20:27:15 - mmengine - INFO - Epoch(val) [6][3320/6282] eta: 0:02:18 time: 0.0441 data_time: 0.0040 memory: 732 2022/12/03 20:27:16 - mmengine - INFO - Epoch(val) [6][3340/6282] eta: 0:02:18 time: 0.0463 data_time: 0.0039 memory: 732 2022/12/03 20:27:16 - mmengine - INFO - Epoch(val) [6][3360/6282] eta: 0:02:17 time: 0.0466 data_time: 0.0054 memory: 732 2022/12/03 20:27:17 - mmengine - INFO - Epoch(val) [6][3380/6282] eta: 0:02:16 time: 0.0473 data_time: 0.0051 memory: 732 2022/12/03 20:27:18 - mmengine - INFO - Epoch(val) [6][3400/6282] eta: 0:02:15 time: 0.0456 data_time: 0.0073 memory: 674 2022/12/03 20:27:19 - mmengine - INFO - Epoch(val) [6][3420/6282] eta: 0:02:14 time: 0.0425 data_time: 0.0059 memory: 674 2022/12/03 20:27:20 - mmengine - INFO - Epoch(val) [6][3440/6282] eta: 0:02:13 time: 0.0435 data_time: 0.0050 memory: 674 2022/12/03 20:27:21 - mmengine - INFO - Epoch(val) [6][3460/6282] eta: 0:02:12 time: 0.0417 data_time: 0.0042 memory: 674 2022/12/03 20:27:22 - mmengine - INFO - Epoch(val) [6][3480/6282] eta: 0:02:11 time: 0.0408 data_time: 0.0048 memory: 674 2022/12/03 20:27:23 - mmengine - INFO - Epoch(val) [6][3500/6282] eta: 0:02:10 time: 0.0425 data_time: 0.0047 memory: 674 2022/12/03 20:27:23 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:02:09 time: 0.0421 data_time: 0.0043 memory: 674 2022/12/03 20:27:24 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:02:08 time: 0.0398 data_time: 0.0034 memory: 674 2022/12/03 20:27:25 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:02:07 time: 0.0433 data_time: 0.0065 memory: 674 2022/12/03 20:27:26 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:06 time: 0.0426 data_time: 0.0026 memory: 715 2022/12/03 20:27:27 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:02:05 time: 0.0442 data_time: 0.0052 memory: 715 2022/12/03 20:27:28 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:02:04 time: 0.0469 data_time: 0.0069 memory: 715 2022/12/03 20:27:29 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:02:03 time: 0.0456 data_time: 0.0058 memory: 715 2022/12/03 20:27:30 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:02:02 time: 0.0487 data_time: 0.0056 memory: 715 2022/12/03 20:27:31 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:02:01 time: 0.0494 data_time: 0.0057 memory: 732 2022/12/03 20:27:32 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:02:00 time: 0.0501 data_time: 0.0063 memory: 732 2022/12/03 20:27:33 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:01:59 time: 0.0471 data_time: 0.0047 memory: 732 2022/12/03 20:27:34 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:01:58 time: 0.0459 data_time: 0.0047 memory: 732 2022/12/03 20:27:34 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:01:57 time: 0.0453 data_time: 0.0039 memory: 732 2022/12/03 20:27:35 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:01:56 time: 0.0474 data_time: 0.0043 memory: 732 2022/12/03 20:27:36 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:01:55 time: 0.0430 data_time: 0.0041 memory: 732 2022/12/03 20:27:37 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:01:54 time: 0.0439 data_time: 0.0047 memory: 732 2022/12/03 20:27:38 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:01:53 time: 0.0453 data_time: 0.0041 memory: 732 2022/12/03 20:27:39 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:01:52 time: 0.0430 data_time: 0.0038 memory: 732 2022/12/03 20:27:40 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:01:51 time: 0.0455 data_time: 0.0044 memory: 732 2022/12/03 20:27:41 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:01:51 time: 0.0466 data_time: 0.0038 memory: 732 2022/12/03 20:27:42 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:01:50 time: 0.0491 data_time: 0.0055 memory: 732 2022/12/03 20:27:43 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:01:49 time: 0.0462 data_time: 0.0046 memory: 732 2022/12/03 20:27:44 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:01:48 time: 0.0460 data_time: 0.0046 memory: 732 2022/12/03 20:27:45 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:01:47 time: 0.0471 data_time: 0.0053 memory: 732 2022/12/03 20:27:46 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:01:46 time: 0.0464 data_time: 0.0055 memory: 732 2022/12/03 20:27:47 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:01:45 time: 0.0462 data_time: 0.0040 memory: 732 2022/12/03 20:27:47 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:01:44 time: 0.0448 data_time: 0.0035 memory: 811 2022/12/03 20:27:48 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:01:43 time: 0.0499 data_time: 0.0042 memory: 811 2022/12/03 20:27:49 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:01:42 time: 0.0496 data_time: 0.0034 memory: 811 2022/12/03 20:27:50 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:01:41 time: 0.0479 data_time: 0.0036 memory: 811 2022/12/03 20:27:51 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:01:40 time: 0.0506 data_time: 0.0033 memory: 811 2022/12/03 20:27:52 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:01:39 time: 0.0463 data_time: 0.0058 memory: 811 2022/12/03 20:27:53 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:01:38 time: 0.0408 data_time: 0.0047 memory: 674 2022/12/03 20:27:54 - mmengine - INFO - Epoch(val) [6][4180/6282] eta: 0:01:37 time: 0.0431 data_time: 0.0054 memory: 674 2022/12/03 20:27:55 - mmengine - INFO - Epoch(val) [6][4200/6282] eta: 0:01:37 time: 0.0407 data_time: 0.0051 memory: 674 2022/12/03 20:27:56 - mmengine - INFO - Epoch(val) [6][4220/6282] eta: 0:01:36 time: 0.0407 data_time: 0.0055 memory: 674 2022/12/03 20:27:56 - mmengine - INFO - Epoch(val) [6][4240/6282] eta: 0:01:35 time: 0.0414 data_time: 0.0044 memory: 674 2022/12/03 20:27:57 - mmengine - INFO - Epoch(val) [6][4260/6282] eta: 0:01:34 time: 0.0439 data_time: 0.0054 memory: 672 2022/12/03 20:27:58 - mmengine - INFO - Epoch(val) [6][4280/6282] eta: 0:01:33 time: 0.0418 data_time: 0.0055 memory: 672 2022/12/03 20:27:59 - mmengine - INFO - Epoch(val) [6][4300/6282] eta: 0:01:32 time: 0.0413 data_time: 0.0058 memory: 672 2022/12/03 20:28:00 - mmengine - INFO - Epoch(val) [6][4320/6282] eta: 0:01:31 time: 0.0395 data_time: 0.0037 memory: 672 2022/12/03 20:28:01 - mmengine - INFO - Epoch(val) [6][4340/6282] eta: 0:01:30 time: 0.0398 data_time: 0.0032 memory: 672 2022/12/03 20:28:02 - mmengine - INFO - Epoch(val) [6][4360/6282] eta: 0:01:29 time: 0.0423 data_time: 0.0038 memory: 732 2022/12/03 20:28:02 - mmengine - INFO - Epoch(val) [6][4380/6282] eta: 0:01:28 time: 0.0433 data_time: 0.0043 memory: 732 2022/12/03 20:28:03 - mmengine - INFO - Epoch(val) [6][4400/6282] eta: 0:01:27 time: 0.0442 data_time: 0.0037 memory: 732 2022/12/03 20:28:04 - mmengine - INFO - Epoch(val) [6][4420/6282] eta: 0:01:26 time: 0.0435 data_time: 0.0053 memory: 732 2022/12/03 20:28:05 - mmengine - INFO - Epoch(val) [6][4440/6282] eta: 0:01:25 time: 0.0447 data_time: 0.0044 memory: 739 2022/12/03 20:28:06 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:01:24 time: 0.0436 data_time: 0.0040 memory: 739 2022/12/03 20:28:07 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:01:23 time: 0.0480 data_time: 0.0052 memory: 739 2022/12/03 20:28:08 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:01:22 time: 0.0469 data_time: 0.0054 memory: 739 2022/12/03 20:28:09 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:01:21 time: 0.0449 data_time: 0.0029 memory: 739 2022/12/03 20:28:10 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:20 time: 0.0422 data_time: 0.0046 memory: 678 2022/12/03 20:28:10 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:19 time: 0.0402 data_time: 0.0042 memory: 678 2022/12/03 20:28:11 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:18 time: 0.0417 data_time: 0.0059 memory: 678 2022/12/03 20:28:12 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:01:17 time: 0.0410 data_time: 0.0042 memory: 678 2022/12/03 20:28:13 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:16 time: 0.0399 data_time: 0.0043 memory: 678 2022/12/03 20:28:14 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:01:15 time: 0.0444 data_time: 0.0045 memory: 739 2022/12/03 20:28:15 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:01:14 time: 0.0443 data_time: 0.0045 memory: 739 2022/12/03 20:28:16 - mmengine - INFO - Epoch(val) [6][4680/6282] eta: 0:01:14 time: 0.0435 data_time: 0.0042 memory: 739 2022/12/03 20:28:16 - mmengine - INFO - Epoch(val) [6][4700/6282] eta: 0:01:13 time: 0.0465 data_time: 0.0054 memory: 739 2022/12/03 20:28:17 - mmengine - INFO - Epoch(val) [6][4720/6282] eta: 0:01:12 time: 0.0433 data_time: 0.0034 memory: 739 2022/12/03 20:28:18 - mmengine - INFO - Epoch(val) [6][4740/6282] eta: 0:01:11 time: 0.0415 data_time: 0.0044 memory: 698 2022/12/03 20:28:19 - mmengine - INFO - Epoch(val) [6][4760/6282] eta: 0:01:10 time: 0.0412 data_time: 0.0041 memory: 698 2022/12/03 20:28:20 - mmengine - INFO - Epoch(val) [6][4780/6282] eta: 0:01:09 time: 0.0427 data_time: 0.0048 memory: 698 2022/12/03 20:28:21 - mmengine - INFO - Epoch(val) [6][4800/6282] eta: 0:01:08 time: 0.0466 data_time: 0.0067 memory: 698 2022/12/03 20:28:22 - mmengine - INFO - Epoch(val) [6][4820/6282] eta: 0:01:07 time: 0.0463 data_time: 0.0062 memory: 732 2022/12/03 20:28:23 - mmengine - INFO - Epoch(val) [6][4840/6282] eta: 0:01:06 time: 0.0473 data_time: 0.0051 memory: 732 2022/12/03 20:28:24 - mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:05 time: 0.0476 data_time: 0.0063 memory: 732 2022/12/03 20:28:25 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:04 time: 0.0462 data_time: 0.0042 memory: 732 2022/12/03 20:28:25 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:03 time: 0.0442 data_time: 0.0042 memory: 732 2022/12/03 20:28:26 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:02 time: 0.0462 data_time: 0.0051 memory: 735 2022/12/03 20:28:27 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:01 time: 0.0495 data_time: 0.0053 memory: 735 2022/12/03 20:28:28 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:01:01 time: 0.0482 data_time: 0.0059 memory: 735 2022/12/03 20:28:29 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:00 time: 0.0452 data_time: 0.0035 memory: 735 2022/12/03 20:28:30 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:00:59 time: 0.0478 data_time: 0.0047 memory: 735 2022/12/03 20:28:31 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:00:58 time: 0.0463 data_time: 0.0051 memory: 735 2022/12/03 20:28:32 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:00:57 time: 0.0437 data_time: 0.0058 memory: 678 2022/12/03 20:28:33 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:00:56 time: 0.0439 data_time: 0.0071 memory: 678 2022/12/03 20:28:34 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:00:55 time: 0.0417 data_time: 0.0059 memory: 678 2022/12/03 20:28:35 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:00:54 time: 0.0430 data_time: 0.0047 memory: 678 2022/12/03 20:28:36 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:00:53 time: 0.0449 data_time: 0.0067 memory: 678 2022/12/03 20:28:36 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:00:52 time: 0.0398 data_time: 0.0044 memory: 674 2022/12/03 20:28:37 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:00:51 time: 0.0420 data_time: 0.0047 memory: 674 2022/12/03 20:28:38 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:00:50 time: 0.0517 data_time: 0.0050 memory: 674 2022/12/03 20:28:39 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:00:49 time: 0.0428 data_time: 0.0057 memory: 674 2022/12/03 20:28:40 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:00:48 time: 0.0432 data_time: 0.0055 memory: 674 2022/12/03 20:28:41 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:00:47 time: 0.0425 data_time: 0.0058 memory: 672 2022/12/03 20:28:42 - mmengine - INFO - Epoch(val) [6][5260/6282] eta: 0:00:47 time: 0.0420 data_time: 0.0055 memory: 672 2022/12/03 20:28:43 - mmengine - INFO - Epoch(val) [6][5280/6282] eta: 0:00:46 time: 0.0402 data_time: 0.0039 memory: 672 2022/12/03 20:28:43 - mmengine - INFO - Epoch(val) [6][5300/6282] eta: 0:00:45 time: 0.0429 data_time: 0.0048 memory: 672 2022/12/03 20:28:44 - mmengine - INFO - Epoch(val) [6][5320/6282] eta: 0:00:44 time: 0.0430 data_time: 0.0045 memory: 674 2022/12/03 20:28:45 - mmengine - INFO - Epoch(val) [6][5340/6282] eta: 0:00:43 time: 0.0434 data_time: 0.0064 memory: 674 2022/12/03 20:28:46 - mmengine - INFO - Epoch(val) [6][5360/6282] eta: 0:00:42 time: 0.0437 data_time: 0.0061 memory: 674 2022/12/03 20:28:47 - mmengine - INFO - Epoch(val) [6][5380/6282] eta: 0:00:41 time: 0.0412 data_time: 0.0046 memory: 674 2022/12/03 20:28:48 - mmengine - INFO - Epoch(val) [6][5400/6282] eta: 0:00:40 time: 0.0431 data_time: 0.0041 memory: 674 2022/12/03 20:28:49 - mmengine - INFO - Epoch(val) [6][5420/6282] eta: 0:00:39 time: 0.0405 data_time: 0.0033 memory: 674 2022/12/03 20:28:49 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:38 time: 0.0428 data_time: 0.0070 memory: 674 2022/12/03 20:28:50 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:37 time: 0.0420 data_time: 0.0051 memory: 674 2022/12/03 20:28:51 - mmengine - INFO - Epoch(val) [6][5480/6282] eta: 0:00:36 time: 0.0420 data_time: 0.0034 memory: 674 2022/12/03 20:28:52 - mmengine - INFO - Epoch(val) [6][5500/6282] eta: 0:00:35 time: 0.0427 data_time: 0.0049 memory: 674 2022/12/03 20:28:53 - mmengine - INFO - Epoch(val) [6][5520/6282] eta: 0:00:34 time: 0.0445 data_time: 0.0058 memory: 694 2022/12/03 20:28:54 - mmengine - INFO - Epoch(val) [6][5540/6282] eta: 0:00:34 time: 0.0431 data_time: 0.0037 memory: 694 2022/12/03 20:28:55 - mmengine - INFO - Epoch(val) [6][5560/6282] eta: 0:00:33 time: 0.0458 data_time: 0.0051 memory: 694 2022/12/03 20:28:55 - mmengine - INFO - Epoch(val) [6][5580/6282] eta: 0:00:32 time: 0.0420 data_time: 0.0049 memory: 694 2022/12/03 20:28:56 - mmengine - INFO - Epoch(val) [6][5600/6282] eta: 0:00:31 time: 0.0424 data_time: 0.0036 memory: 694 2022/12/03 20:28:57 - mmengine - INFO - Epoch(val) [6][5620/6282] eta: 0:00:30 time: 0.0456 data_time: 0.0069 memory: 694 2022/12/03 20:28:58 - mmengine - INFO - Epoch(val) [6][5640/6282] eta: 0:00:29 time: 0.0394 data_time: 0.0044 memory: 674 2022/12/03 20:28:59 - mmengine - INFO - Epoch(val) [6][5660/6282] eta: 0:00:28 time: 0.0406 data_time: 0.0049 memory: 674 2022/12/03 20:29:00 - mmengine - INFO - Epoch(val) [6][5680/6282] eta: 0:00:27 time: 0.0408 data_time: 0.0046 memory: 674 2022/12/03 20:29:01 - mmengine - INFO - Epoch(val) [6][5700/6282] eta: 0:00:26 time: 0.0414 data_time: 0.0054 memory: 674 2022/12/03 20:29:01 - mmengine - INFO - Epoch(val) [6][5720/6282] eta: 0:00:25 time: 0.0409 data_time: 0.0036 memory: 707 2022/12/03 20:29:02 - mmengine - INFO - Epoch(val) [6][5740/6282] eta: 0:00:24 time: 0.0438 data_time: 0.0051 memory: 707 2022/12/03 20:29:03 - mmengine - INFO - Epoch(val) [6][5760/6282] eta: 0:00:23 time: 0.0448 data_time: 0.0056 memory: 707 2022/12/03 20:29:04 - mmengine - INFO - Epoch(val) [6][5780/6282] eta: 0:00:22 time: 0.0443 data_time: 0.0055 memory: 707 2022/12/03 20:29:05 - mmengine - INFO - Epoch(val) [6][5800/6282] eta: 0:00:22 time: 0.0445 data_time: 0.0048 memory: 707 2022/12/03 20:29:06 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:21 time: 0.0431 data_time: 0.0064 memory: 707 2022/12/03 20:29:07 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:20 time: 0.0402 data_time: 0.0047 memory: 694 2022/12/03 20:29:07 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:19 time: 0.0408 data_time: 0.0044 memory: 694 2022/12/03 20:29:08 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:18 time: 0.0405 data_time: 0.0041 memory: 694 2022/12/03 20:29:09 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:17 time: 0.0386 data_time: 0.0038 memory: 694 2022/12/03 20:29:10 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:16 time: 0.0387 data_time: 0.0039 memory: 694 2022/12/03 20:29:11 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:15 time: 0.0390 data_time: 0.0040 memory: 674 2022/12/03 20:29:11 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:14 time: 0.0318 data_time: 0.0022 memory: 674 2022/12/03 20:29:12 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:13 time: 0.0275 data_time: 0.0017 memory: 674 2022/12/03 20:29:12 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:12 time: 0.0329 data_time: 0.0018 memory: 732 2022/12/03 20:29:13 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:11 time: 0.0340 data_time: 0.0017 memory: 732 2022/12/03 20:29:14 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:10 time: 0.0338 data_time: 0.0016 memory: 732 2022/12/03 20:29:14 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:10 time: 0.0337 data_time: 0.0021 memory: 732 2022/12/03 20:29:15 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:09 time: 0.0338 data_time: 0.0019 memory: 732 2022/12/03 20:29:16 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:08 time: 0.0349 data_time: 0.0021 memory: 732 2022/12/03 20:29:17 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:07 time: 0.0339 data_time: 0.0021 memory: 732 2022/12/03 20:29:17 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:06 time: 0.0337 data_time: 0.0019 memory: 732 2022/12/03 20:29:18 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:05 time: 0.0335 data_time: 0.0021 memory: 732 2022/12/03 20:29:19 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:04 time: 0.0330 data_time: 0.0018 memory: 732 2022/12/03 20:29:19 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:03 time: 0.0329 data_time: 0.0017 memory: 732 2022/12/03 20:29:20 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:02 time: 0.0327 data_time: 0.0017 memory: 732 2022/12/03 20:29:21 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:01 time: 0.0329 data_time: 0.0018 memory: 732 2022/12/03 20:29:21 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:00 time: 0.0325 data_time: 0.0015 memory: 732 2022/12/03 20:29:22 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 20:33:13 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.2763 2022/12/03 20:33:13 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2022/12/03 20:33:16 - mmengine - INFO - The best checkpoint with 0.2763 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2022/12/03 20:33:23 - mmengine - INFO - Epoch(train) [7][ 20/4451] lr: 4.9916e-02 eta: 1:34:56 time: 0.3457 data_time: 0.0359 memory: 8510 grad_norm: 0.1698 loss: 0.0383 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.8111 recall@top3: 0.7333 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.5200 loss_action_cls: 0.0383 2022/12/03 20:33:29 - mmengine - INFO - Epoch(train) [7][ 40/4451] lr: 4.9828e-02 eta: 1:34:50 time: 0.3193 data_time: 0.0113 memory: 8510 grad_norm: 0.1729 loss: 0.0380 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6786 recall@top3: 0.8690 prec@top3: 0.6429 recall@top5: 0.9583 prec@top5: 0.4286 loss_action_cls: 0.0380 2022/12/03 20:33:36 - mmengine - INFO - Epoch(train) [7][ 60/4451] lr: 4.9740e-02 eta: 1:34:44 time: 0.3190 data_time: 0.0117 memory: 8510 grad_norm: 0.1818 loss: 0.0389 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.7653 recall@top3: 0.7467 prec@top3: 0.6533 recall@top5: 0.8800 prec@top5: 0.4800 loss_action_cls: 0.0389 2022/12/03 20:33:42 - mmengine - INFO - Epoch(train) [7][ 80/4451] lr: 4.9652e-02 eta: 1:34:37 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1781 loss: 0.0391 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7696 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.8725 prec@top5: 0.4235 loss_action_cls: 0.0391 2022/12/03 20:33:48 - mmengine - INFO - Epoch(train) [7][ 100/4451] lr: 4.9563e-02 eta: 1:34:31 time: 0.3186 data_time: 0.0105 memory: 8510 grad_norm: 0.1732 loss: 0.0375 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8175 recall@top3: 0.8492 prec@top3: 0.4921 recall@top5: 0.8810 prec@top5: 0.3143 loss_action_cls: 0.0375 2022/12/03 20:33:55 - mmengine - INFO - Epoch(train) [7][ 120/4451] lr: 4.9475e-02 eta: 1:34:24 time: 0.3189 data_time: 0.0097 memory: 8510 grad_norm: 0.1815 loss: 0.0391 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7014 recall@top3: 0.7222 prec@top3: 0.6806 recall@top5: 0.9132 prec@top5: 0.5250 loss_action_cls: 0.0391 2022/12/03 20:34:01 - mmengine - INFO - Epoch(train) [7][ 140/4451] lr: 4.9387e-02 eta: 1:34:18 time: 0.3193 data_time: 0.0101 memory: 8510 grad_norm: 0.1826 loss: 0.0418 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.6944 recall@top3: 0.7407 prec@top3: 0.5370 recall@top5: 0.8333 prec@top5: 0.3667 loss_action_cls: 0.0418 2022/12/03 20:34:08 - mmengine - INFO - Epoch(train) [7][ 160/4451] lr: 4.9299e-02 eta: 1:34:12 time: 0.3263 data_time: 0.0101 memory: 8510 grad_norm: 0.1848 loss: 0.0395 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.7909 recall@top3: 0.9091 prec@top3: 0.5758 recall@top5: 0.9773 prec@top5: 0.3818 loss_action_cls: 0.0395 2022/12/03 20:34:14 - mmengine - INFO - Epoch(train) [7][ 180/4451] lr: 4.9210e-02 eta: 1:34:05 time: 0.3197 data_time: 0.0106 memory: 8510 grad_norm: 0.1811 loss: 0.0424 recall@thr=0.5: 0.8103 prec@thr=0.5: 0.8846 recall@top3: 0.8744 prec@top3: 0.6923 recall@top5: 0.9436 prec@top5: 0.4769 loss_action_cls: 0.0424 2022/12/03 20:34:21 - mmengine - INFO - Epoch(train) [7][ 200/4451] lr: 4.9122e-02 eta: 1:33:59 time: 0.3200 data_time: 0.0098 memory: 8510 grad_norm: 0.1711 loss: 0.0332 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7901 recall@top3: 0.8154 prec@top3: 0.7037 recall@top5: 0.9000 prec@top5: 0.4889 loss_action_cls: 0.0332 2022/12/03 20:34:27 - mmengine - INFO - Epoch(train) [7][ 220/4451] lr: 4.9034e-02 eta: 1:33:52 time: 0.3200 data_time: 0.0105 memory: 8510 grad_norm: 0.1736 loss: 0.0392 recall@thr=0.5: 0.6033 prec@thr=0.5: 0.7000 recall@top3: 0.7725 prec@top3: 0.6500 recall@top5: 0.8875 prec@top5: 0.4700 loss_action_cls: 0.0392 2022/12/03 20:34:33 - mmengine - INFO - Epoch(train) [7][ 240/4451] lr: 4.8946e-02 eta: 1:33:46 time: 0.3246 data_time: 0.0101 memory: 8510 grad_norm: 0.1813 loss: 0.0394 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.5909 recall@top3: 0.6364 prec@top3: 0.4545 recall@top5: 0.8030 prec@top5: 0.3545 loss_action_cls: 0.0394 2022/12/03 20:34:40 - mmengine - INFO - Epoch(train) [7][ 260/4451] lr: 4.8858e-02 eta: 1:33:40 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1777 loss: 0.0426 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.6333 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.3867 loss_action_cls: 0.0426 2022/12/03 20:34:46 - mmengine - INFO - Epoch(train) [7][ 280/4451] lr: 4.8769e-02 eta: 1:33:33 time: 0.3199 data_time: 0.0098 memory: 8510 grad_norm: 0.1771 loss: 0.0442 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7353 recall@top3: 0.8824 prec@top3: 0.7255 recall@top5: 0.9118 prec@top5: 0.4588 loss_action_cls: 0.0442 2022/12/03 20:34:51 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:34:53 - mmengine - INFO - Epoch(train) [7][ 300/4451] lr: 4.8681e-02 eta: 1:33:27 time: 0.3219 data_time: 0.0102 memory: 8510 grad_norm: 0.1702 loss: 0.0426 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.4687 recall@top3: 0.6667 prec@top3: 0.4375 recall@top5: 0.7604 prec@top5: 0.3125 loss_action_cls: 0.0426 2022/12/03 20:34:59 - mmengine - INFO - Epoch(train) [7][ 320/4451] lr: 4.8593e-02 eta: 1:33:20 time: 0.3200 data_time: 0.0117 memory: 8510 grad_norm: 0.1801 loss: 0.0418 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7685 recall@top3: 0.7407 prec@top3: 0.6481 recall@top5: 0.9444 prec@top5: 0.5111 loss_action_cls: 0.0418 2022/12/03 20:35:06 - mmengine - INFO - Epoch(train) [7][ 340/4451] lr: 4.8505e-02 eta: 1:33:14 time: 0.3209 data_time: 0.0099 memory: 8510 grad_norm: 0.1863 loss: 0.0442 recall@thr=0.5: 0.4600 prec@thr=0.5: 0.5140 recall@top3: 0.7067 prec@top3: 0.4133 recall@top5: 0.7733 prec@top5: 0.2880 loss_action_cls: 0.0442 2022/12/03 20:35:12 - mmengine - INFO - Epoch(train) [7][ 360/4451] lr: 4.8417e-02 eta: 1:33:08 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.1780 loss: 0.0422 recall@thr=0.5: 0.6151 prec@thr=0.5: 0.8254 recall@top3: 0.7698 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0422 2022/12/03 20:35:18 - mmengine - INFO - Epoch(train) [7][ 380/4451] lr: 4.8328e-02 eta: 1:33:01 time: 0.3210 data_time: 0.0116 memory: 8510 grad_norm: 0.1766 loss: 0.0399 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7333 recall@top3: 0.8083 prec@top3: 0.5500 recall@top5: 0.9500 prec@top5: 0.3700 loss_action_cls: 0.0399 2022/12/03 20:35:25 - mmengine - INFO - Epoch(train) [7][ 400/4451] lr: 4.8240e-02 eta: 1:32:55 time: 0.3220 data_time: 0.0126 memory: 8510 grad_norm: 0.1739 loss: 0.0382 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.7399 recall@top3: 0.8030 prec@top3: 0.6364 recall@top5: 0.9268 prec@top5: 0.4606 loss_action_cls: 0.0382 2022/12/03 20:35:31 - mmengine - INFO - Epoch(train) [7][ 420/4451] lr: 4.8152e-02 eta: 1:32:48 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.1748 loss: 0.0390 recall@thr=0.5: 0.5410 prec@thr=0.5: 0.6875 recall@top3: 0.7139 prec@top3: 0.6806 recall@top5: 0.8271 prec@top5: 0.4917 loss_action_cls: 0.0390 2022/12/03 20:35:38 - mmengine - INFO - Epoch(train) [7][ 440/4451] lr: 4.8064e-02 eta: 1:32:42 time: 0.3207 data_time: 0.0105 memory: 8510 grad_norm: 0.1768 loss: 0.0383 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.7115 recall@top3: 0.8590 prec@top3: 0.6923 recall@top5: 0.9808 prec@top5: 0.4769 loss_action_cls: 0.0383 2022/12/03 20:35:44 - mmengine - INFO - Epoch(train) [7][ 460/4451] lr: 4.7976e-02 eta: 1:32:36 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1765 loss: 0.0374 recall@thr=0.5: 0.4600 prec@thr=0.5: 0.5867 recall@top3: 0.7033 prec@top3: 0.5867 recall@top5: 0.8967 prec@top5: 0.4640 loss_action_cls: 0.0374 2022/12/03 20:35:50 - mmengine - INFO - Epoch(train) [7][ 480/4451] lr: 4.7888e-02 eta: 1:32:29 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1784 loss: 0.0380 recall@thr=0.5: 0.7263 prec@thr=0.5: 0.6939 recall@top3: 0.8386 prec@top3: 0.5526 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0380 2022/12/03 20:35:57 - mmengine - INFO - Epoch(train) [7][ 500/4451] lr: 4.7799e-02 eta: 1:32:23 time: 0.3228 data_time: 0.0118 memory: 8510 grad_norm: 0.1800 loss: 0.0404 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.7576 recall@top3: 0.7955 prec@top3: 0.7879 recall@top5: 0.9659 prec@top5: 0.5818 loss_action_cls: 0.0404 2022/12/03 20:36:03 - mmengine - INFO - Epoch(train) [7][ 520/4451] lr: 4.7711e-02 eta: 1:32:16 time: 0.3212 data_time: 0.0097 memory: 8510 grad_norm: 0.1796 loss: 0.0430 recall@thr=0.5: 0.6595 prec@thr=0.5: 0.7905 recall@top3: 0.8024 prec@top3: 0.5714 recall@top5: 0.9095 prec@top5: 0.3943 loss_action_cls: 0.0430 2022/12/03 20:36:10 - mmengine - INFO - Epoch(train) [7][ 540/4451] lr: 4.7623e-02 eta: 1:32:10 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1790 loss: 0.0413 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.8426 recall@top3: 0.8148 prec@top3: 0.7778 recall@top5: 0.9722 prec@top5: 0.5778 loss_action_cls: 0.0413 2022/12/03 20:36:16 - mmengine - INFO - Epoch(train) [7][ 560/4451] lr: 4.7535e-02 eta: 1:32:04 time: 0.3199 data_time: 0.0098 memory: 8510 grad_norm: 0.1759 loss: 0.0413 recall@thr=0.5: 0.4457 prec@thr=0.5: 0.4964 recall@top3: 0.6667 prec@top3: 0.5507 recall@top5: 0.9203 prec@top5: 0.4696 loss_action_cls: 0.0413 2022/12/03 20:36:23 - mmengine - INFO - Epoch(train) [7][ 580/4451] lr: 4.7447e-02 eta: 1:31:57 time: 0.3208 data_time: 0.0106 memory: 8510 grad_norm: 0.1753 loss: 0.0364 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7778 recall@top3: 0.9537 prec@top3: 0.7407 recall@top5: 0.9815 prec@top5: 0.4667 loss_action_cls: 0.0364 2022/12/03 20:36:29 - mmengine - INFO - Epoch(train) [7][ 600/4451] lr: 4.7359e-02 eta: 1:31:51 time: 0.3219 data_time: 0.0106 memory: 8510 grad_norm: 0.1838 loss: 0.0374 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.6480 recall@top3: 0.8206 prec@top3: 0.6275 recall@top5: 0.9735 prec@top5: 0.4706 loss_action_cls: 0.0374 2022/12/03 20:36:35 - mmengine - INFO - Epoch(train) [7][ 620/4451] lr: 4.7271e-02 eta: 1:31:44 time: 0.3213 data_time: 0.0110 memory: 8510 grad_norm: 0.1786 loss: 0.0358 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.7353 recall@top3: 0.8627 prec@top3: 0.6471 recall@top5: 0.9510 prec@top5: 0.4353 loss_action_cls: 0.0358 2022/12/03 20:36:42 - mmengine - INFO - Epoch(train) [7][ 640/4451] lr: 4.7183e-02 eta: 1:31:38 time: 0.3196 data_time: 0.0104 memory: 8510 grad_norm: 0.1816 loss: 0.0413 recall@thr=0.5: 0.8565 prec@thr=0.5: 0.8380 recall@top3: 0.8796 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0413 2022/12/03 20:36:48 - mmengine - INFO - Epoch(train) [7][ 660/4451] lr: 4.7095e-02 eta: 1:31:32 time: 0.3215 data_time: 0.0111 memory: 8510 grad_norm: 0.1732 loss: 0.0418 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.8462 recall@top3: 0.7455 prec@top3: 0.5513 recall@top5: 0.9199 prec@top5: 0.4462 loss_action_cls: 0.0418 2022/12/03 20:36:55 - mmengine - INFO - Epoch(train) [7][ 680/4451] lr: 4.7006e-02 eta: 1:31:25 time: 0.3204 data_time: 0.0106 memory: 8510 grad_norm: 0.1777 loss: 0.0407 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7222 recall@top3: 0.8148 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0407 2022/12/03 20:37:01 - mmengine - INFO - Epoch(train) [7][ 700/4451] lr: 4.6918e-02 eta: 1:31:19 time: 0.3213 data_time: 0.0102 memory: 8510 grad_norm: 0.1767 loss: 0.0336 recall@thr=0.5: 0.7403 prec@thr=0.5: 0.7917 recall@top3: 0.8590 prec@top3: 0.7639 recall@top5: 0.9028 prec@top5: 0.5000 loss_action_cls: 0.0336 2022/12/03 20:37:08 - mmengine - INFO - Epoch(train) [7][ 720/4451] lr: 4.6830e-02 eta: 1:31:12 time: 0.3199 data_time: 0.0107 memory: 8510 grad_norm: 0.1773 loss: 0.0429 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5185 recall@top3: 0.6898 prec@top3: 0.5741 recall@top5: 0.8380 prec@top5: 0.4333 loss_action_cls: 0.0429 2022/12/03 20:37:14 - mmengine - INFO - Epoch(train) [7][ 740/4451] lr: 4.6742e-02 eta: 1:31:06 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1759 loss: 0.0387 recall@thr=0.5: 0.3472 prec@thr=0.5: 0.3958 recall@top3: 0.7986 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0387 2022/12/03 20:37:20 - mmengine - INFO - Epoch(train) [7][ 760/4451] lr: 4.6654e-02 eta: 1:31:00 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1763 loss: 0.0403 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7115 recall@top3: 0.6923 prec@top3: 0.5641 recall@top5: 0.9038 prec@top5: 0.4154 loss_action_cls: 0.0403 2022/12/03 20:37:27 - mmengine - INFO - Epoch(train) [7][ 780/4451] lr: 4.6566e-02 eta: 1:30:53 time: 0.3208 data_time: 0.0116 memory: 8510 grad_norm: 0.1682 loss: 0.0434 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8718 recall@top3: 0.8474 prec@top3: 0.6667 recall@top5: 0.8949 prec@top5: 0.4385 loss_action_cls: 0.0434 2022/12/03 20:37:33 - mmengine - INFO - Epoch(train) [7][ 800/4451] lr: 4.6478e-02 eta: 1:30:47 time: 0.3198 data_time: 0.0099 memory: 8510 grad_norm: 0.1841 loss: 0.0411 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.6894 recall@top3: 0.9318 prec@top3: 0.6515 recall@top5: 0.9545 prec@top5: 0.4091 loss_action_cls: 0.0411 2022/12/03 20:37:40 - mmengine - INFO - Epoch(train) [7][ 820/4451] lr: 4.6390e-02 eta: 1:30:40 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.1755 loss: 0.0452 recall@thr=0.5: 0.7654 prec@thr=0.5: 0.7191 recall@top3: 0.9259 prec@top3: 0.6790 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0452 2022/12/03 20:37:46 - mmengine - INFO - Epoch(train) [7][ 840/4451] lr: 4.6302e-02 eta: 1:30:34 time: 0.3195 data_time: 0.0103 memory: 8510 grad_norm: 0.1747 loss: 0.0374 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7976 recall@top3: 0.8810 prec@top3: 0.7381 recall@top5: 0.9286 prec@top5: 0.4714 loss_action_cls: 0.0374 2022/12/03 20:37:53 - mmengine - INFO - Epoch(train) [7][ 860/4451] lr: 4.6214e-02 eta: 1:30:28 time: 0.3276 data_time: 0.0098 memory: 8510 grad_norm: 0.1818 loss: 0.0447 recall@thr=0.5: 0.4776 prec@thr=0.5: 0.6731 recall@top3: 0.7186 prec@top3: 0.5769 recall@top5: 0.8577 prec@top5: 0.4231 loss_action_cls: 0.0447 2022/12/03 20:37:59 - mmengine - INFO - Epoch(train) [7][ 880/4451] lr: 4.6126e-02 eta: 1:30:21 time: 0.3261 data_time: 0.0102 memory: 8510 grad_norm: 0.1837 loss: 0.0420 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.8333 recall@top3: 0.6556 prec@top3: 0.6000 recall@top5: 0.8667 prec@top5: 0.4800 loss_action_cls: 0.0420 2022/12/03 20:38:05 - mmengine - INFO - Epoch(train) [7][ 900/4451] lr: 4.6038e-02 eta: 1:30:15 time: 0.3205 data_time: 0.0098 memory: 8510 grad_norm: 0.1766 loss: 0.0383 recall@thr=0.5: 0.7530 prec@thr=0.5: 0.8155 recall@top3: 0.8333 prec@top3: 0.7024 recall@top5: 0.9583 prec@top5: 0.4929 loss_action_cls: 0.0383 2022/12/03 20:38:12 - mmengine - INFO - Epoch(train) [7][ 920/4451] lr: 4.5950e-02 eta: 1:30:09 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.1828 loss: 0.0402 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.6458 recall@top3: 0.7812 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0402 2022/12/03 20:38:18 - mmengine - INFO - Epoch(train) [7][ 940/4451] lr: 4.5862e-02 eta: 1:30:02 time: 0.3209 data_time: 0.0107 memory: 8510 grad_norm: 0.1795 loss: 0.0436 recall@thr=0.5: 0.4924 prec@thr=0.5: 0.6212 recall@top3: 0.7500 prec@top3: 0.4697 recall@top5: 0.8864 prec@top5: 0.3455 loss_action_cls: 0.0436 2022/12/03 20:38:25 - mmengine - INFO - Epoch(train) [7][ 960/4451] lr: 4.5775e-02 eta: 1:29:56 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1696 loss: 0.0380 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6028 recall@top3: 0.7431 prec@top3: 0.5139 recall@top5: 0.8278 prec@top5: 0.3417 loss_action_cls: 0.0380 2022/12/03 20:38:31 - mmengine - INFO - Epoch(train) [7][ 980/4451] lr: 4.5687e-02 eta: 1:29:49 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.1778 loss: 0.0445 recall@thr=0.5: 0.7206 prec@thr=0.5: 0.8039 recall@top3: 0.8284 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5765 loss_action_cls: 0.0445 2022/12/03 20:38:38 - mmengine - INFO - Epoch(train) [7][1000/4451] lr: 4.5599e-02 eta: 1:29:43 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.1780 loss: 0.0397 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.6754 recall@top3: 0.6842 prec@top3: 0.5965 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0397 2022/12/03 20:38:44 - mmengine - INFO - Epoch(train) [7][1020/4451] lr: 4.5511e-02 eta: 1:29:36 time: 0.3204 data_time: 0.0118 memory: 8510 grad_norm: 0.1841 loss: 0.0434 recall@thr=0.5: 0.4313 prec@thr=0.5: 0.6042 recall@top3: 0.5458 prec@top3: 0.3958 recall@top5: 0.9104 prec@top5: 0.4000 loss_action_cls: 0.0434 2022/12/03 20:38:50 - mmengine - INFO - Epoch(train) [7][1040/4451] lr: 4.5423e-02 eta: 1:29:30 time: 0.3210 data_time: 0.0102 memory: 8510 grad_norm: 0.1764 loss: 0.0430 recall@thr=0.5: 0.7149 prec@thr=0.5: 0.8289 recall@top3: 0.8158 prec@top3: 0.7544 recall@top5: 0.9079 prec@top5: 0.5053 loss_action_cls: 0.0430 2022/12/03 20:38:57 - mmengine - INFO - Epoch(train) [7][1060/4451] lr: 4.5335e-02 eta: 1:29:24 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1792 loss: 0.0421 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.6667 recall@top3: 0.8026 prec@top3: 0.6140 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0421 2022/12/03 20:39:03 - mmengine - INFO - Epoch(train) [7][1080/4451] lr: 4.5247e-02 eta: 1:29:17 time: 0.3207 data_time: 0.0107 memory: 8510 grad_norm: 0.1814 loss: 0.0428 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7593 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.3778 loss_action_cls: 0.0428 2022/12/03 20:39:10 - mmengine - INFO - Epoch(train) [7][1100/4451] lr: 4.5160e-02 eta: 1:29:11 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1754 loss: 0.0425 recall@thr=0.5: 0.3910 prec@thr=0.5: 0.5385 recall@top3: 0.8205 prec@top3: 0.5769 recall@top5: 0.8654 prec@top5: 0.3692 loss_action_cls: 0.0425 2022/12/03 20:39:16 - mmengine - INFO - Epoch(train) [7][1120/4451] lr: 4.5072e-02 eta: 1:29:04 time: 0.3217 data_time: 0.0107 memory: 8510 grad_norm: 0.1729 loss: 0.0435 recall@thr=0.5: 0.4598 prec@thr=0.5: 0.5287 recall@top3: 0.7356 prec@top3: 0.5862 recall@top5: 0.8276 prec@top5: 0.4207 loss_action_cls: 0.0435 2022/12/03 20:39:22 - mmengine - INFO - Epoch(train) [7][1140/4451] lr: 4.4984e-02 eta: 1:28:58 time: 0.3211 data_time: 0.0099 memory: 8510 grad_norm: 0.1805 loss: 0.0410 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.6870 recall@top3: 0.8768 prec@top3: 0.6667 recall@top5: 0.9783 prec@top5: 0.4609 loss_action_cls: 0.0410 2022/12/03 20:39:29 - mmengine - INFO - Epoch(train) [7][1160/4451] lr: 4.4896e-02 eta: 1:28:52 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.1751 loss: 0.0387 recall@thr=0.5: 0.5800 prec@thr=0.5: 0.6533 recall@top3: 0.9500 prec@top3: 0.6800 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0387 2022/12/03 20:39:35 - mmengine - INFO - Epoch(train) [7][1180/4451] lr: 4.4808e-02 eta: 1:28:45 time: 0.3200 data_time: 0.0105 memory: 8510 grad_norm: 0.1770 loss: 0.0396 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.6930 recall@top3: 0.8158 prec@top3: 0.6316 recall@top5: 0.9211 prec@top5: 0.4421 loss_action_cls: 0.0396 2022/12/03 20:39:42 - mmengine - INFO - Epoch(train) [7][1200/4451] lr: 4.4721e-02 eta: 1:28:39 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1902 loss: 0.0441 recall@thr=0.5: 0.6029 prec@thr=0.5: 0.6087 recall@top3: 0.6319 prec@top3: 0.6087 recall@top5: 0.8957 prec@top5: 0.5304 loss_action_cls: 0.0441 2022/12/03 20:39:48 - mmengine - INFO - Epoch(train) [7][1220/4451] lr: 4.4633e-02 eta: 1:28:32 time: 0.3212 data_time: 0.0124 memory: 8510 grad_norm: 0.1782 loss: 0.0442 recall@thr=0.5: 0.7535 prec@thr=0.5: 0.8472 recall@top3: 0.8646 prec@top3: 0.7361 recall@top5: 0.9688 prec@top5: 0.5167 loss_action_cls: 0.0442 2022/12/03 20:39:55 - mmengine - INFO - Epoch(train) [7][1240/4451] lr: 4.4545e-02 eta: 1:28:26 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1813 loss: 0.0414 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4896 recall@top3: 0.6250 prec@top3: 0.3125 recall@top5: 0.7812 prec@top5: 0.2375 loss_action_cls: 0.0414 2022/12/03 20:40:01 - mmengine - INFO - Epoch(train) [7][1260/4451] lr: 4.4458e-02 eta: 1:28:20 time: 0.3217 data_time: 0.0099 memory: 8510 grad_norm: 0.1804 loss: 0.0418 recall@thr=0.5: 0.4472 prec@thr=0.5: 0.6852 recall@top3: 0.7287 prec@top3: 0.6296 recall@top5: 0.8870 prec@top5: 0.4889 loss_action_cls: 0.0418 2022/12/03 20:40:07 - mmengine - INFO - Epoch(train) [7][1280/4451] lr: 4.4370e-02 eta: 1:28:13 time: 0.3187 data_time: 0.0103 memory: 8510 grad_norm: 0.1787 loss: 0.0437 recall@thr=0.5: 0.6420 prec@thr=0.5: 0.6605 recall@top3: 0.7000 prec@top3: 0.6296 recall@top5: 0.9037 prec@top5: 0.4889 loss_action_cls: 0.0437 2022/12/03 20:40:12 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:40:14 - mmengine - INFO - Epoch(train) [7][1300/4451] lr: 4.4282e-02 eta: 1:28:07 time: 0.3208 data_time: 0.0113 memory: 8510 grad_norm: 0.1766 loss: 0.0368 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.5889 recall@top3: 0.8222 prec@top3: 0.4667 recall@top5: 0.8889 prec@top5: 0.3067 loss_action_cls: 0.0368 2022/12/03 20:40:20 - mmengine - INFO - Epoch(train) [7][1320/4451] lr: 4.4195e-02 eta: 1:28:00 time: 0.3220 data_time: 0.0099 memory: 8510 grad_norm: 0.1783 loss: 0.0440 recall@thr=0.5: 0.5506 prec@thr=0.5: 0.5494 recall@top3: 0.7247 prec@top3: 0.5556 recall@top5: 0.8000 prec@top5: 0.3778 loss_action_cls: 0.0440 2022/12/03 20:40:27 - mmengine - INFO - Epoch(train) [7][1340/4451] lr: 4.4107e-02 eta: 1:27:54 time: 0.3215 data_time: 0.0097 memory: 8510 grad_norm: 0.1764 loss: 0.0396 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7833 recall@top3: 0.7917 prec@top3: 0.8333 recall@top5: 0.8917 prec@top5: 0.5700 loss_action_cls: 0.0396 2022/12/03 20:40:33 - mmengine - INFO - Epoch(train) [7][1360/4451] lr: 4.4019e-02 eta: 1:27:48 time: 0.3211 data_time: 0.0097 memory: 8510 grad_norm: 0.1897 loss: 0.0452 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7667 recall@top3: 0.8095 prec@top3: 0.6349 recall@top5: 0.9683 prec@top5: 0.4571 loss_action_cls: 0.0452 2022/12/03 20:40:39 - mmengine - INFO - Epoch(train) [7][1380/4451] lr: 4.3932e-02 eta: 1:27:41 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1819 loss: 0.0399 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7857 recall@top3: 0.8333 prec@top3: 0.7381 recall@top5: 0.8690 prec@top5: 0.4714 loss_action_cls: 0.0399 2022/12/03 20:40:46 - mmengine - INFO - Epoch(train) [7][1400/4451] lr: 4.3844e-02 eta: 1:27:35 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.1770 loss: 0.0417 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.6439 recall@top3: 0.8371 prec@top3: 0.5606 recall@top5: 0.9280 prec@top5: 0.3909 loss_action_cls: 0.0417 2022/12/03 20:40:52 - mmengine - INFO - Epoch(train) [7][1420/4451] lr: 4.3757e-02 eta: 1:27:28 time: 0.3222 data_time: 0.0102 memory: 8510 grad_norm: 0.1881 loss: 0.0396 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8167 recall@top3: 0.9292 prec@top3: 0.7000 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0396 2022/12/03 20:40:59 - mmengine - INFO - Epoch(train) [7][1440/4451] lr: 4.3669e-02 eta: 1:27:22 time: 0.3213 data_time: 0.0123 memory: 8510 grad_norm: 0.1827 loss: 0.0438 recall@thr=0.5: 0.5570 prec@thr=0.5: 0.5000 recall@top3: 0.7851 prec@top3: 0.4737 recall@top5: 0.8772 prec@top5: 0.3263 loss_action_cls: 0.0438 2022/12/03 20:41:05 - mmengine - INFO - Epoch(train) [7][1460/4451] lr: 4.3582e-02 eta: 1:27:16 time: 0.3278 data_time: 0.0102 memory: 8510 grad_norm: 0.1843 loss: 0.0384 recall@thr=0.5: 0.6014 prec@thr=0.5: 0.7681 recall@top3: 0.7609 prec@top3: 0.4928 recall@top5: 0.9638 prec@top5: 0.3913 loss_action_cls: 0.0384 2022/12/03 20:41:12 - mmengine - INFO - Epoch(train) [7][1480/4451] lr: 4.3494e-02 eta: 1:27:09 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1787 loss: 0.0421 recall@thr=0.5: 0.7212 prec@thr=0.5: 0.6090 recall@top3: 0.8237 prec@top3: 0.5256 recall@top5: 0.9904 prec@top5: 0.3769 loss_action_cls: 0.0421 2022/12/03 20:41:18 - mmengine - INFO - Epoch(train) [7][1500/4451] lr: 4.3407e-02 eta: 1:27:03 time: 0.3207 data_time: 0.0105 memory: 8510 grad_norm: 0.1757 loss: 0.0425 recall@thr=0.5: 0.5042 prec@thr=0.5: 0.6875 recall@top3: 0.7198 prec@top3: 0.6458 recall@top5: 0.8281 prec@top5: 0.4750 loss_action_cls: 0.0425 2022/12/03 20:41:25 - mmengine - INFO - Epoch(train) [7][1520/4451] lr: 4.3319e-02 eta: 1:26:57 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1803 loss: 0.0425 recall@thr=0.5: 0.5083 prec@thr=0.5: 0.6333 recall@top3: 0.8000 prec@top3: 0.6500 recall@top5: 0.8167 prec@top5: 0.4000 loss_action_cls: 0.0425 2022/12/03 20:41:31 - mmengine - INFO - Epoch(train) [7][1540/4451] lr: 4.3232e-02 eta: 1:26:50 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1792 loss: 0.0375 recall@thr=0.5: 0.8025 prec@thr=0.5: 0.7469 recall@top3: 0.8765 prec@top3: 0.7284 recall@top5: 0.9630 prec@top5: 0.4963 loss_action_cls: 0.0375 2022/12/03 20:41:37 - mmengine - INFO - Epoch(train) [7][1560/4451] lr: 4.3144e-02 eta: 1:26:44 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1826 loss: 0.0395 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.7246 recall@top3: 0.8587 prec@top3: 0.6522 recall@top5: 0.9058 prec@top5: 0.4174 loss_action_cls: 0.0395 2022/12/03 20:41:44 - mmengine - INFO - Epoch(train) [7][1580/4451] lr: 4.3057e-02 eta: 1:26:37 time: 0.3202 data_time: 0.0103 memory: 8510 grad_norm: 0.1838 loss: 0.0443 recall@thr=0.5: 0.5243 prec@thr=0.5: 0.5729 recall@top3: 0.6111 prec@top3: 0.5694 recall@top5: 0.7535 prec@top5: 0.4417 loss_action_cls: 0.0443 2022/12/03 20:41:50 - mmengine - INFO - Epoch(train) [7][1600/4451] lr: 4.2970e-02 eta: 1:26:31 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.1774 loss: 0.0428 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.8125 recall@top3: 0.8073 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0428 2022/12/03 20:41:57 - mmengine - INFO - Epoch(train) [7][1620/4451] lr: 4.2882e-02 eta: 1:26:24 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1813 loss: 0.0374 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7843 recall@top3: 0.8971 prec@top3: 0.6275 recall@top5: 0.8971 prec@top5: 0.3765 loss_action_cls: 0.0374 2022/12/03 20:42:03 - mmengine - INFO - Epoch(train) [7][1640/4451] lr: 4.2795e-02 eta: 1:26:18 time: 0.3203 data_time: 0.0096 memory: 8510 grad_norm: 0.1806 loss: 0.0397 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.8106 recall@top3: 0.8182 prec@top3: 0.6364 recall@top5: 0.9773 prec@top5: 0.4364 loss_action_cls: 0.0397 2022/12/03 20:42:09 - mmengine - INFO - Epoch(train) [7][1660/4451] lr: 4.2708e-02 eta: 1:26:12 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.1798 loss: 0.0405 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7000 recall@top3: 0.8167 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0405 2022/12/03 20:42:16 - mmengine - INFO - Epoch(train) [7][1680/4451] lr: 4.2620e-02 eta: 1:26:05 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1794 loss: 0.0401 recall@thr=0.5: 0.6174 prec@thr=0.5: 0.7197 recall@top3: 0.8295 prec@top3: 0.5455 recall@top5: 0.9318 prec@top5: 0.3909 loss_action_cls: 0.0401 2022/12/03 20:42:22 - mmengine - INFO - Epoch(train) [7][1700/4451] lr: 4.2533e-02 eta: 1:25:59 time: 0.3212 data_time: 0.0099 memory: 8510 grad_norm: 0.1832 loss: 0.0426 recall@thr=0.5: 0.5029 prec@thr=0.5: 0.6379 recall@top3: 0.8592 prec@top3: 0.6092 recall@top5: 0.9397 prec@top5: 0.4207 loss_action_cls: 0.0426 2022/12/03 20:42:29 - mmengine - INFO - Epoch(train) [7][1720/4451] lr: 4.2446e-02 eta: 1:25:52 time: 0.3196 data_time: 0.0107 memory: 8510 grad_norm: 0.1818 loss: 0.0354 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7647 recall@top3: 0.8627 prec@top3: 0.7059 recall@top5: 0.9314 prec@top5: 0.4588 loss_action_cls: 0.0354 2022/12/03 20:42:35 - mmengine - INFO - Epoch(train) [7][1740/4451] lr: 4.2359e-02 eta: 1:25:46 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1823 loss: 0.0399 recall@thr=0.5: 0.9615 prec@thr=0.5: 0.8846 recall@top3: 0.9487 prec@top3: 0.5641 recall@top5: 1.0000 prec@top5: 0.3692 loss_action_cls: 0.0399 2022/12/03 20:42:42 - mmengine - INFO - Epoch(train) [7][1760/4451] lr: 4.2272e-02 eta: 1:25:40 time: 0.3224 data_time: 0.0101 memory: 8510 grad_norm: 0.1732 loss: 0.0419 recall@thr=0.5: 0.9318 prec@thr=0.5: 0.6894 recall@top3: 0.9242 prec@top3: 0.6970 recall@top5: 0.9773 prec@top5: 0.4545 loss_action_cls: 0.0419 2022/12/03 20:42:48 - mmengine - INFO - Epoch(train) [7][1780/4451] lr: 4.2184e-02 eta: 1:25:33 time: 0.3223 data_time: 0.0115 memory: 8510 grad_norm: 0.1751 loss: 0.0392 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.7000 recall@top3: 0.8917 prec@top3: 0.7000 recall@top5: 0.9833 prec@top5: 0.4700 loss_action_cls: 0.0392 2022/12/03 20:42:54 - mmengine - INFO - Epoch(train) [7][1800/4451] lr: 4.2097e-02 eta: 1:25:27 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.1773 loss: 0.0398 recall@thr=0.5: 0.8512 prec@thr=0.5: 0.8750 recall@top3: 0.9702 prec@top3: 0.7500 recall@top5: 0.9881 prec@top5: 0.4643 loss_action_cls: 0.0398 2022/12/03 20:43:01 - mmengine - INFO - Epoch(train) [7][1820/4451] lr: 4.2010e-02 eta: 1:25:20 time: 0.3219 data_time: 0.0100 memory: 8510 grad_norm: 0.1853 loss: 0.0405 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7462 recall@top3: 0.8030 prec@top3: 0.6061 recall@top5: 0.8939 prec@top5: 0.4182 loss_action_cls: 0.0405 2022/12/03 20:43:07 - mmengine - INFO - Epoch(train) [7][1840/4451] lr: 4.1923e-02 eta: 1:25:14 time: 0.3208 data_time: 0.0111 memory: 8510 grad_norm: 0.1875 loss: 0.0360 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8596 recall@top3: 0.8596 prec@top3: 0.7719 recall@top5: 0.9386 prec@top5: 0.5158 loss_action_cls: 0.0360 2022/12/03 20:43:14 - mmengine - INFO - Epoch(train) [7][1860/4451] lr: 4.1836e-02 eta: 1:25:08 time: 0.3206 data_time: 0.0105 memory: 8510 grad_norm: 0.1776 loss: 0.0378 recall@thr=0.5: 0.6259 prec@thr=0.5: 0.7500 recall@top3: 0.8667 prec@top3: 0.5926 recall@top5: 0.9583 prec@top5: 0.4222 loss_action_cls: 0.0378 2022/12/03 20:43:20 - mmengine - INFO - Epoch(train) [7][1880/4451] lr: 4.1749e-02 eta: 1:25:01 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1849 loss: 0.0450 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.6400 recall@top3: 0.8440 prec@top3: 0.5733 recall@top5: 0.9253 prec@top5: 0.3840 loss_action_cls: 0.0450 2022/12/03 20:43:26 - mmengine - INFO - Epoch(train) [7][1900/4451] lr: 4.1662e-02 eta: 1:24:55 time: 0.3204 data_time: 0.0103 memory: 8510 grad_norm: 0.1763 loss: 0.0404 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.7467 recall@top3: 0.9433 prec@top3: 0.6267 recall@top5: 0.9633 prec@top5: 0.3920 loss_action_cls: 0.0404 2022/12/03 20:43:33 - mmengine - INFO - Epoch(train) [7][1920/4451] lr: 4.1575e-02 eta: 1:24:48 time: 0.3213 data_time: 0.0102 memory: 8510 grad_norm: 0.1782 loss: 0.0360 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7879 recall@top3: 0.9091 prec@top3: 0.6515 recall@top5: 0.9091 prec@top5: 0.3909 loss_action_cls: 0.0360 2022/12/03 20:43:39 - mmengine - INFO - Epoch(train) [7][1940/4451] lr: 4.1488e-02 eta: 1:24:42 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.1829 loss: 0.0429 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7870 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0429 2022/12/03 20:43:46 - mmengine - INFO - Epoch(train) [7][1960/4451] lr: 4.1401e-02 eta: 1:24:36 time: 0.3216 data_time: 0.0103 memory: 8510 grad_norm: 0.1829 loss: 0.0388 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.5093 recall@top3: 0.8287 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.4111 loss_action_cls: 0.0388 2022/12/03 20:43:52 - mmengine - INFO - Epoch(train) [7][1980/4451] lr: 4.1314e-02 eta: 1:24:29 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1818 loss: 0.0400 recall@thr=0.5: 0.5990 prec@thr=0.5: 0.6042 recall@top3: 0.8177 prec@top3: 0.5000 recall@top5: 0.9271 prec@top5: 0.3500 loss_action_cls: 0.0400 2022/12/03 20:43:59 - mmengine - INFO - Epoch(train) [7][2000/4451] lr: 4.1227e-02 eta: 1:24:23 time: 0.3204 data_time: 0.0111 memory: 8510 grad_norm: 0.1849 loss: 0.0422 recall@thr=0.5: 0.5054 prec@thr=0.5: 0.4731 recall@top3: 0.6371 prec@top3: 0.4301 recall@top5: 0.8226 prec@top5: 0.3161 loss_action_cls: 0.0422 2022/12/03 20:44:05 - mmengine - INFO - Epoch(train) [7][2020/4451] lr: 4.1140e-02 eta: 1:24:16 time: 0.3200 data_time: 0.0098 memory: 8510 grad_norm: 0.1806 loss: 0.0445 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6742 recall@top3: 0.8409 prec@top3: 0.6667 recall@top5: 0.9886 prec@top5: 0.4818 loss_action_cls: 0.0445 2022/12/03 20:44:11 - mmengine - INFO - Epoch(train) [7][2040/4451] lr: 4.1054e-02 eta: 1:24:10 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1778 loss: 0.0391 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6510 recall@top3: 0.8854 prec@top3: 0.6667 recall@top5: 0.9479 prec@top5: 0.4375 loss_action_cls: 0.0391 2022/12/03 20:44:18 - mmengine - INFO - Epoch(train) [7][2060/4451] lr: 4.0967e-02 eta: 1:24:04 time: 0.3208 data_time: 0.0109 memory: 8510 grad_norm: 0.1731 loss: 0.0363 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5926 recall@top3: 0.7716 prec@top3: 0.5926 recall@top5: 0.8704 prec@top5: 0.4148 loss_action_cls: 0.0363 2022/12/03 20:44:24 - mmengine - INFO - Epoch(train) [7][2080/4451] lr: 4.0880e-02 eta: 1:23:57 time: 0.3198 data_time: 0.0115 memory: 8510 grad_norm: 0.1839 loss: 0.0413 recall@thr=0.5: 0.8293 prec@thr=0.5: 0.8937 recall@top3: 0.8713 prec@top3: 0.7931 recall@top5: 0.9741 prec@top5: 0.5310 loss_action_cls: 0.0413 2022/12/03 20:44:31 - mmengine - INFO - Epoch(train) [7][2100/4451] lr: 4.0793e-02 eta: 1:23:51 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1844 loss: 0.0441 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.6944 recall@top3: 0.8333 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0441 2022/12/03 20:44:37 - mmengine - INFO - Epoch(train) [7][2120/4451] lr: 4.0707e-02 eta: 1:23:44 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1781 loss: 0.0377 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.7233 recall@top3: 0.7667 prec@top3: 0.6400 recall@top5: 0.9267 prec@top5: 0.4240 loss_action_cls: 0.0377 2022/12/03 20:44:43 - mmengine - INFO - Epoch(train) [7][2140/4451] lr: 4.0620e-02 eta: 1:23:38 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1798 loss: 0.0372 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.7536 recall@top3: 0.7899 prec@top3: 0.6957 recall@top5: 0.9275 prec@top5: 0.4957 loss_action_cls: 0.0372 2022/12/03 20:44:50 - mmengine - INFO - Epoch(train) [7][2160/4451] lr: 4.0533e-02 eta: 1:23:32 time: 0.3209 data_time: 0.0098 memory: 8510 grad_norm: 0.1882 loss: 0.0382 recall@thr=0.5: 0.5517 prec@thr=0.5: 0.6917 recall@top3: 0.7122 prec@top3: 0.6333 recall@top5: 0.8656 prec@top5: 0.4733 loss_action_cls: 0.0382 2022/12/03 20:44:56 - mmengine - INFO - Epoch(train) [7][2180/4451] lr: 4.0447e-02 eta: 1:23:25 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1801 loss: 0.0431 recall@thr=0.5: 0.7257 prec@thr=0.5: 0.7222 recall@top3: 0.7528 prec@top3: 0.7222 recall@top5: 0.9139 prec@top5: 0.5333 loss_action_cls: 0.0431 2022/12/03 20:45:03 - mmengine - INFO - Epoch(train) [7][2200/4451] lr: 4.0360e-02 eta: 1:23:19 time: 0.3215 data_time: 0.0121 memory: 8510 grad_norm: 0.1826 loss: 0.0413 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.4375 recall@top3: 0.8750 prec@top3: 0.5417 recall@top5: 0.9062 prec@top5: 0.3375 loss_action_cls: 0.0413 2022/12/03 20:45:09 - mmengine - INFO - Epoch(train) [7][2220/4451] lr: 4.0274e-02 eta: 1:23:12 time: 0.3211 data_time: 0.0108 memory: 8510 grad_norm: 0.1779 loss: 0.0398 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8627 recall@top3: 1.0000 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0398 2022/12/03 20:45:16 - mmengine - INFO - Epoch(train) [7][2240/4451] lr: 4.0187e-02 eta: 1:23:06 time: 0.3205 data_time: 0.0106 memory: 8510 grad_norm: 0.1871 loss: 0.0361 recall@thr=0.5: 0.5486 prec@thr=0.5: 0.6944 recall@top3: 0.6806 prec@top3: 0.4861 recall@top5: 0.8333 prec@top5: 0.3667 loss_action_cls: 0.0361 2022/12/03 20:45:22 - mmengine - INFO - Epoch(train) [7][2260/4451] lr: 4.0101e-02 eta: 1:23:00 time: 0.3218 data_time: 0.0103 memory: 8510 grad_norm: 0.1836 loss: 0.0402 recall@thr=0.5: 0.5609 prec@thr=0.5: 0.5870 recall@top3: 0.7667 prec@top3: 0.5507 recall@top5: 0.9188 prec@top5: 0.4000 loss_action_cls: 0.0402 2022/12/03 20:45:28 - mmengine - INFO - Epoch(train) [7][2280/4451] lr: 4.0014e-02 eta: 1:22:53 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1780 loss: 0.0392 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.7500 recall@top3: 0.8929 prec@top3: 0.5000 recall@top5: 0.9286 prec@top5: 0.3143 loss_action_cls: 0.0392 2022/12/03 20:45:33 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:45:35 - mmengine - INFO - Epoch(train) [7][2300/4451] lr: 3.9928e-02 eta: 1:22:47 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1903 loss: 0.0423 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8843 recall@top3: 0.8148 prec@top3: 0.6852 recall@top5: 0.9907 prec@top5: 0.5444 loss_action_cls: 0.0423 2022/12/03 20:45:41 - mmengine - INFO - Epoch(train) [7][2320/4451] lr: 3.9841e-02 eta: 1:22:40 time: 0.3202 data_time: 0.0103 memory: 8510 grad_norm: 0.1749 loss: 0.0390 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7000 recall@top3: 0.7611 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4533 loss_action_cls: 0.0390 2022/12/03 20:45:48 - mmengine - INFO - Epoch(train) [7][2340/4451] lr: 3.9755e-02 eta: 1:22:34 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1847 loss: 0.0387 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.8111 recall@top3: 0.8444 prec@top3: 0.6444 recall@top5: 0.9222 prec@top5: 0.4400 loss_action_cls: 0.0387 2022/12/03 20:45:54 - mmengine - INFO - Epoch(train) [7][2360/4451] lr: 3.9669e-02 eta: 1:22:28 time: 0.3214 data_time: 0.0126 memory: 8510 grad_norm: 0.1835 loss: 0.0388 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.6754 recall@top3: 0.6579 prec@top3: 0.5088 recall@top5: 0.7632 prec@top5: 0.3684 loss_action_cls: 0.0388 2022/12/03 20:46:00 - mmengine - INFO - Epoch(train) [7][2380/4451] lr: 3.9582e-02 eta: 1:22:21 time: 0.3214 data_time: 0.0127 memory: 8510 grad_norm: 0.1838 loss: 0.0404 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7969 recall@top3: 0.8646 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4625 loss_action_cls: 0.0404 2022/12/03 20:46:07 - mmengine - INFO - Epoch(train) [7][2400/4451] lr: 3.9496e-02 eta: 1:22:15 time: 0.3206 data_time: 0.0105 memory: 8510 grad_norm: 0.1751 loss: 0.0389 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7895 recall@top3: 0.9737 prec@top3: 0.7719 recall@top5: 0.9737 prec@top5: 0.4632 loss_action_cls: 0.0389 2022/12/03 20:46:13 - mmengine - INFO - Epoch(train) [7][2420/4451] lr: 3.9410e-02 eta: 1:22:08 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1815 loss: 0.0394 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7222 recall@top3: 0.8472 prec@top3: 0.5000 recall@top5: 0.9259 prec@top5: 0.3556 loss_action_cls: 0.0394 2022/12/03 20:46:20 - mmengine - INFO - Epoch(train) [7][2440/4451] lr: 3.9324e-02 eta: 1:22:02 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.1814 loss: 0.0398 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8772 recall@top3: 0.8991 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0398 2022/12/03 20:46:26 - mmengine - INFO - Epoch(train) [7][2460/4451] lr: 3.9237e-02 eta: 1:21:55 time: 0.3193 data_time: 0.0100 memory: 8510 grad_norm: 0.1820 loss: 0.0415 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.6818 recall@top3: 0.8561 prec@top3: 0.5758 recall@top5: 0.9545 prec@top5: 0.4091 loss_action_cls: 0.0415 2022/12/03 20:46:32 - mmengine - INFO - Epoch(train) [7][2480/4451] lr: 3.9151e-02 eta: 1:21:49 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1809 loss: 0.0429 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8730 recall@top3: 0.8016 prec@top3: 0.7619 recall@top5: 0.9048 prec@top5: 0.5333 loss_action_cls: 0.0429 2022/12/03 20:46:39 - mmengine - INFO - Epoch(train) [7][2500/4451] lr: 3.9065e-02 eta: 1:21:43 time: 0.3203 data_time: 0.0106 memory: 8510 grad_norm: 0.1840 loss: 0.0439 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.5608 recall@top3: 0.7353 prec@top3: 0.4314 recall@top5: 0.8431 prec@top5: 0.3059 loss_action_cls: 0.0439 2022/12/03 20:46:45 - mmengine - INFO - Epoch(train) [7][2520/4451] lr: 3.8979e-02 eta: 1:21:36 time: 0.3202 data_time: 0.0105 memory: 8510 grad_norm: 0.1862 loss: 0.0418 recall@thr=0.5: 0.5268 prec@thr=0.5: 0.6667 recall@top3: 0.7738 prec@top3: 0.5833 recall@top5: 0.8988 prec@top5: 0.4214 loss_action_cls: 0.0418 2022/12/03 20:46:52 - mmengine - INFO - Epoch(train) [7][2540/4451] lr: 3.8893e-02 eta: 1:21:30 time: 0.3208 data_time: 0.0113 memory: 8510 grad_norm: 0.1797 loss: 0.0366 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7619 recall@top3: 0.8929 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4429 loss_action_cls: 0.0366 2022/12/03 20:46:58 - mmengine - INFO - Epoch(train) [7][2560/4451] lr: 3.8807e-02 eta: 1:21:23 time: 0.3214 data_time: 0.0117 memory: 8510 grad_norm: 0.1786 loss: 0.0385 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.6759 recall@top3: 0.8611 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0385 2022/12/03 20:47:05 - mmengine - INFO - Epoch(train) [7][2580/4451] lr: 3.8721e-02 eta: 1:21:17 time: 0.3211 data_time: 0.0102 memory: 8510 grad_norm: 0.1821 loss: 0.0433 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.6611 recall@top3: 0.8778 prec@top3: 0.6111 recall@top5: 0.9000 prec@top5: 0.3800 loss_action_cls: 0.0433 2022/12/03 20:47:11 - mmengine - INFO - Epoch(train) [7][2600/4451] lr: 3.8635e-02 eta: 1:21:11 time: 0.3210 data_time: 0.0102 memory: 8510 grad_norm: 0.1835 loss: 0.0396 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6000 recall@top3: 0.6083 prec@top3: 0.5167 recall@top5: 0.7083 prec@top5: 0.3700 loss_action_cls: 0.0396 2022/12/03 20:47:17 - mmengine - INFO - Epoch(train) [7][2620/4451] lr: 3.8549e-02 eta: 1:21:04 time: 0.3202 data_time: 0.0105 memory: 8510 grad_norm: 0.1831 loss: 0.0463 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.5469 recall@top3: 0.5208 prec@top3: 0.4167 recall@top5: 0.8125 prec@top5: 0.3375 loss_action_cls: 0.0463 2022/12/03 20:47:24 - mmengine - INFO - Epoch(train) [7][2640/4451] lr: 3.8463e-02 eta: 1:20:58 time: 0.3202 data_time: 0.0103 memory: 8510 grad_norm: 0.1802 loss: 0.0381 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7246 recall@top3: 0.8406 prec@top3: 0.6812 recall@top5: 0.9420 prec@top5: 0.4696 loss_action_cls: 0.0381 2022/12/03 20:47:30 - mmengine - INFO - Epoch(train) [7][2660/4451] lr: 3.8377e-02 eta: 1:20:51 time: 0.3212 data_time: 0.0114 memory: 8510 grad_norm: 0.1770 loss: 0.0424 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.8437 recall@top3: 0.8542 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3625 loss_action_cls: 0.0424 2022/12/03 20:47:37 - mmengine - INFO - Epoch(train) [7][2680/4451] lr: 3.8292e-02 eta: 1:20:45 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1826 loss: 0.0405 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7540 recall@top3: 0.8730 prec@top3: 0.5873 recall@top5: 0.9444 prec@top5: 0.3905 loss_action_cls: 0.0405 2022/12/03 20:47:43 - mmengine - INFO - Epoch(train) [7][2700/4451] lr: 3.8206e-02 eta: 1:20:39 time: 0.3200 data_time: 0.0115 memory: 8510 grad_norm: 0.1827 loss: 0.0444 recall@thr=0.5: 0.3611 prec@thr=0.5: 0.5139 recall@top3: 0.7569 prec@top3: 0.6528 recall@top5: 0.8299 prec@top5: 0.4333 loss_action_cls: 0.0444 2022/12/03 20:47:49 - mmengine - INFO - Epoch(train) [7][2720/4451] lr: 3.8120e-02 eta: 1:20:32 time: 0.3202 data_time: 0.0113 memory: 8510 grad_norm: 0.1817 loss: 0.0378 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9083 recall@top3: 0.9750 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0378 2022/12/03 20:47:56 - mmengine - INFO - Epoch(train) [7][2740/4451] lr: 3.8035e-02 eta: 1:20:26 time: 0.3218 data_time: 0.0108 memory: 8510 grad_norm: 0.1826 loss: 0.0386 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7917 recall@top3: 0.7650 prec@top3: 0.6000 recall@top5: 0.8550 prec@top5: 0.4200 loss_action_cls: 0.0386 2022/12/03 20:48:02 - mmengine - INFO - Epoch(train) [7][2760/4451] lr: 3.7949e-02 eta: 1:20:19 time: 0.3212 data_time: 0.0106 memory: 8510 grad_norm: 0.1823 loss: 0.0404 recall@thr=0.5: 0.9010 prec@thr=0.5: 0.9427 recall@top3: 0.9531 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0404 2022/12/03 20:48:09 - mmengine - INFO - Epoch(train) [7][2780/4451] lr: 3.7863e-02 eta: 1:20:13 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.1853 loss: 0.0435 recall@thr=0.5: 0.5602 prec@thr=0.5: 0.6296 recall@top3: 0.7639 prec@top3: 0.6296 recall@top5: 0.8519 prec@top5: 0.4333 loss_action_cls: 0.0435 2022/12/03 20:48:15 - mmengine - INFO - Epoch(train) [7][2800/4451] lr: 3.7778e-02 eta: 1:20:07 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1850 loss: 0.0456 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.6232 recall@top3: 0.8290 prec@top3: 0.5942 recall@top5: 0.9464 prec@top5: 0.4348 loss_action_cls: 0.0456 2022/12/03 20:48:22 - mmengine - INFO - Epoch(train) [7][2820/4451] lr: 3.7692e-02 eta: 1:20:00 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1863 loss: 0.0391 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8026 recall@top3: 0.8947 prec@top3: 0.6667 recall@top5: 0.9737 prec@top5: 0.4211 loss_action_cls: 0.0391 2022/12/03 20:48:28 - mmengine - INFO - Epoch(train) [7][2840/4451] lr: 3.7607e-02 eta: 1:19:54 time: 0.3197 data_time: 0.0104 memory: 8510 grad_norm: 0.1814 loss: 0.0426 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7381 recall@top3: 0.9683 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4476 loss_action_cls: 0.0426 2022/12/03 20:48:34 - mmengine - INFO - Epoch(train) [7][2860/4451] lr: 3.7521e-02 eta: 1:19:47 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1844 loss: 0.0400 recall@thr=0.5: 0.5096 prec@thr=0.5: 0.6378 recall@top3: 0.6571 prec@top3: 0.6026 recall@top5: 0.8462 prec@top5: 0.4615 loss_action_cls: 0.0400 2022/12/03 20:48:41 - mmengine - INFO - Epoch(train) [7][2880/4451] lr: 3.7436e-02 eta: 1:19:41 time: 0.3213 data_time: 0.0103 memory: 8510 grad_norm: 0.1813 loss: 0.0405 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6667 recall@top3: 0.8929 prec@top3: 0.5476 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0405 2022/12/03 20:48:47 - mmengine - INFO - Epoch(train) [7][2900/4451] lr: 3.7350e-02 eta: 1:19:35 time: 0.3193 data_time: 0.0107 memory: 8510 grad_norm: 0.1829 loss: 0.0409 recall@thr=0.5: 0.5763 prec@thr=0.5: 0.6807 recall@top3: 0.8395 prec@top3: 0.6667 recall@top5: 0.8868 prec@top5: 0.4316 loss_action_cls: 0.0409 2022/12/03 20:48:54 - mmengine - INFO - Epoch(train) [7][2920/4451] lr: 3.7265e-02 eta: 1:19:28 time: 0.3200 data_time: 0.0098 memory: 8510 grad_norm: 0.1857 loss: 0.0397 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.5556 recall@top3: 0.7500 prec@top3: 0.5370 recall@top5: 0.8611 prec@top5: 0.3667 loss_action_cls: 0.0397 2022/12/03 20:49:00 - mmengine - INFO - Epoch(train) [7][2940/4451] lr: 3.7180e-02 eta: 1:19:22 time: 0.3209 data_time: 0.0110 memory: 8510 grad_norm: 0.1757 loss: 0.0419 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7030 recall@top3: 0.7614 prec@top3: 0.6515 recall@top5: 0.8636 prec@top5: 0.4455 loss_action_cls: 0.0419 2022/12/03 20:49:06 - mmengine - INFO - Epoch(train) [7][2960/4451] lr: 3.7095e-02 eta: 1:19:15 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1814 loss: 0.0382 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.6477 recall@top3: 0.7045 prec@top3: 0.5455 recall@top5: 0.8864 prec@top5: 0.4364 loss_action_cls: 0.0382 2022/12/03 20:49:13 - mmengine - INFO - Epoch(train) [7][2980/4451] lr: 3.7009e-02 eta: 1:19:09 time: 0.3204 data_time: 0.0098 memory: 8510 grad_norm: 0.1845 loss: 0.0367 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.8246 recall@top3: 1.0000 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4105 loss_action_cls: 0.0367 2022/12/03 20:49:19 - mmengine - INFO - Epoch(train) [7][3000/4451] lr: 3.6924e-02 eta: 1:19:03 time: 0.3215 data_time: 0.0099 memory: 8510 grad_norm: 0.1879 loss: 0.0433 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7778 recall@top3: 0.8611 prec@top3: 0.7222 recall@top5: 0.9028 prec@top5: 0.4583 loss_action_cls: 0.0433 2022/12/03 20:49:26 - mmengine - INFO - Epoch(train) [7][3020/4451] lr: 3.6839e-02 eta: 1:18:56 time: 0.3208 data_time: 0.0107 memory: 8510 grad_norm: 0.1690 loss: 0.0367 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6820 recall@top3: 0.7433 prec@top3: 0.6400 recall@top5: 0.9333 prec@top5: 0.4960 loss_action_cls: 0.0367 2022/12/03 20:49:32 - mmengine - INFO - Epoch(train) [7][3040/4451] lr: 3.6754e-02 eta: 1:18:50 time: 0.3214 data_time: 0.0102 memory: 8510 grad_norm: 0.1830 loss: 0.0367 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7652 recall@top3: 0.8712 prec@top3: 0.5152 recall@top5: 0.9015 prec@top5: 0.3273 loss_action_cls: 0.0367 2022/12/03 20:49:38 - mmengine - INFO - Epoch(train) [7][3060/4451] lr: 3.6669e-02 eta: 1:18:43 time: 0.3195 data_time: 0.0100 memory: 8510 grad_norm: 0.1785 loss: 0.0400 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.6510 recall@top3: 0.8646 prec@top3: 0.6875 recall@top5: 0.9271 prec@top5: 0.4375 loss_action_cls: 0.0400 2022/12/03 20:49:45 - mmengine - INFO - Epoch(train) [7][3080/4451] lr: 3.6584e-02 eta: 1:18:37 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1871 loss: 0.0415 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.7899 recall@top3: 0.7572 prec@top3: 0.7246 recall@top5: 0.8949 prec@top5: 0.5217 loss_action_cls: 0.0415 2022/12/03 20:49:51 - mmengine - INFO - Epoch(train) [7][3100/4451] lr: 3.6499e-02 eta: 1:18:30 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1822 loss: 0.0412 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7255 recall@top3: 0.8333 prec@top3: 0.4902 recall@top5: 0.8725 prec@top5: 0.3176 loss_action_cls: 0.0412 2022/12/03 20:49:58 - mmengine - INFO - Epoch(train) [7][3120/4451] lr: 3.6414e-02 eta: 1:18:24 time: 0.3198 data_time: 0.0107 memory: 8510 grad_norm: 0.1802 loss: 0.0413 recall@thr=0.5: 0.6125 prec@thr=0.5: 0.6292 recall@top3: 0.7750 prec@top3: 0.4833 recall@top5: 0.9583 prec@top5: 0.3900 loss_action_cls: 0.0413 2022/12/03 20:50:04 - mmengine - INFO - Epoch(train) [7][3140/4451] lr: 3.6329e-02 eta: 1:18:18 time: 0.3213 data_time: 0.0116 memory: 8510 grad_norm: 0.1858 loss: 0.0421 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5972 recall@top3: 0.7500 prec@top3: 0.4815 recall@top5: 0.9537 prec@top5: 0.3667 loss_action_cls: 0.0421 2022/12/03 20:50:11 - mmengine - INFO - Epoch(train) [7][3160/4451] lr: 3.6244e-02 eta: 1:18:11 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1820 loss: 0.0423 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8824 recall@top3: 0.9020 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0423 2022/12/03 20:50:17 - mmengine - INFO - Epoch(train) [7][3180/4451] lr: 3.6159e-02 eta: 1:18:05 time: 0.3211 data_time: 0.0099 memory: 8510 grad_norm: 0.1814 loss: 0.0432 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7292 recall@top3: 0.8200 prec@top3: 0.7000 recall@top5: 0.9608 prec@top5: 0.5300 loss_action_cls: 0.0432 2022/12/03 20:50:23 - mmengine - INFO - Epoch(train) [7][3200/4451] lr: 3.6075e-02 eta: 1:17:58 time: 0.3222 data_time: 0.0101 memory: 8510 grad_norm: 0.1755 loss: 0.0415 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6521 recall@top3: 0.7083 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.5125 loss_action_cls: 0.0415 2022/12/03 20:50:30 - mmengine - INFO - Epoch(train) [7][3220/4451] lr: 3.5990e-02 eta: 1:17:52 time: 0.3202 data_time: 0.0106 memory: 8510 grad_norm: 0.1937 loss: 0.0378 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.9312 recall@top3: 0.9710 prec@top3: 0.7101 recall@top5: 1.0000 prec@top5: 0.4435 loss_action_cls: 0.0378 2022/12/03 20:50:36 - mmengine - INFO - Epoch(train) [7][3240/4451] lr: 3.5905e-02 eta: 1:17:46 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1841 loss: 0.0406 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.7308 recall@top3: 0.9231 prec@top3: 0.5513 recall@top5: 0.9872 prec@top5: 0.3692 loss_action_cls: 0.0406 2022/12/03 20:50:43 - mmengine - INFO - Epoch(train) [7][3260/4451] lr: 3.5821e-02 eta: 1:17:39 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1820 loss: 0.0416 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.7593 recall@top3: 0.6975 prec@top3: 0.6543 recall@top5: 0.9198 prec@top5: 0.5037 loss_action_cls: 0.0416 2022/12/03 20:50:49 - mmengine - INFO - Epoch(train) [7][3280/4451] lr: 3.5736e-02 eta: 1:17:33 time: 0.3216 data_time: 0.0109 memory: 8510 grad_norm: 0.1753 loss: 0.0374 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6296 recall@top3: 0.6806 prec@top3: 0.5741 recall@top5: 0.8750 prec@top5: 0.4333 loss_action_cls: 0.0374 2022/12/03 20:50:54 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:50:55 - mmengine - INFO - Epoch(train) [7][3300/4451] lr: 3.5652e-02 eta: 1:17:26 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1884 loss: 0.0408 recall@thr=0.5: 0.6489 prec@thr=0.5: 0.8276 recall@top3: 0.8253 prec@top3: 0.7011 recall@top5: 0.9356 prec@top5: 0.4966 loss_action_cls: 0.0408 2022/12/03 20:51:02 - mmengine - INFO - Epoch(train) [7][3320/4451] lr: 3.5567e-02 eta: 1:17:20 time: 0.3214 data_time: 0.0105 memory: 8510 grad_norm: 0.1913 loss: 0.0383 recall@thr=0.5: 0.4115 prec@thr=0.5: 0.4687 recall@top3: 0.5052 prec@top3: 0.4583 recall@top5: 0.5938 prec@top5: 0.3375 loss_action_cls: 0.0383 2022/12/03 20:51:08 - mmengine - INFO - Epoch(train) [7][3340/4451] lr: 3.5483e-02 eta: 1:17:14 time: 0.3208 data_time: 0.0106 memory: 8510 grad_norm: 0.1808 loss: 0.0450 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7083 recall@top3: 0.7708 prec@top3: 0.5972 recall@top5: 0.9097 prec@top5: 0.4250 loss_action_cls: 0.0450 2022/12/03 20:51:15 - mmengine - INFO - Epoch(train) [7][3360/4451] lr: 3.5398e-02 eta: 1:17:07 time: 0.3214 data_time: 0.0104 memory: 8510 grad_norm: 0.1864 loss: 0.0398 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7685 recall@top3: 0.8241 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4111 loss_action_cls: 0.0398 2022/12/03 20:51:21 - mmengine - INFO - Epoch(train) [7][3380/4451] lr: 3.5314e-02 eta: 1:17:01 time: 0.3212 data_time: 0.0105 memory: 8510 grad_norm: 0.1807 loss: 0.0404 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6667 recall@top3: 0.6468 prec@top3: 0.5238 recall@top5: 0.7897 prec@top5: 0.3905 loss_action_cls: 0.0404 2022/12/03 20:51:28 - mmengine - INFO - Epoch(train) [7][3400/4451] lr: 3.5230e-02 eta: 1:16:54 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.1826 loss: 0.0424 recall@thr=0.5: 0.6174 prec@thr=0.5: 0.7717 recall@top3: 0.6681 prec@top3: 0.6232 recall@top5: 0.8232 prec@top5: 0.4870 loss_action_cls: 0.0424 2022/12/03 20:51:34 - mmengine - INFO - Epoch(train) [7][3420/4451] lr: 3.5145e-02 eta: 1:16:48 time: 0.3210 data_time: 0.0098 memory: 8510 grad_norm: 0.1802 loss: 0.0437 recall@thr=0.5: 0.6421 prec@thr=0.5: 0.7281 recall@top3: 0.7360 prec@top3: 0.5965 recall@top5: 0.8895 prec@top5: 0.4526 loss_action_cls: 0.0437 2022/12/03 20:51:40 - mmengine - INFO - Epoch(train) [7][3440/4451] lr: 3.5061e-02 eta: 1:16:42 time: 0.3220 data_time: 0.0103 memory: 8510 grad_norm: 0.1853 loss: 0.0362 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.8571 recall@top3: 0.9325 prec@top3: 0.7619 recall@top5: 0.9762 prec@top5: 0.4857 loss_action_cls: 0.0362 2022/12/03 20:51:47 - mmengine - INFO - Epoch(train) [7][3460/4451] lr: 3.4977e-02 eta: 1:16:35 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.1876 loss: 0.0418 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7157 recall@top3: 0.9118 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0418 2022/12/03 20:51:53 - mmengine - INFO - Epoch(train) [7][3480/4451] lr: 3.4893e-02 eta: 1:16:29 time: 0.3192 data_time: 0.0099 memory: 8510 grad_norm: 0.1789 loss: 0.0401 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.7045 recall@top3: 0.8182 prec@top3: 0.5455 recall@top5: 0.9394 prec@top5: 0.3909 loss_action_cls: 0.0401 2022/12/03 20:52:00 - mmengine - INFO - Epoch(train) [7][3500/4451] lr: 3.4809e-02 eta: 1:16:22 time: 0.3216 data_time: 0.0100 memory: 8510 grad_norm: 0.1818 loss: 0.0395 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.7833 prec@top3: 0.5667 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0395 2022/12/03 20:52:06 - mmengine - INFO - Epoch(train) [7][3520/4451] lr: 3.4725e-02 eta: 1:16:16 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1826 loss: 0.0406 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.5682 recall@top3: 0.7424 prec@top3: 0.5455 recall@top5: 0.8258 prec@top5: 0.3545 loss_action_cls: 0.0406 2022/12/03 20:52:13 - mmengine - INFO - Epoch(train) [7][3540/4451] lr: 3.4641e-02 eta: 1:16:10 time: 0.3212 data_time: 0.0108 memory: 8510 grad_norm: 0.1835 loss: 0.0429 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7937 recall@top3: 0.8571 prec@top3: 0.6984 recall@top5: 0.9286 prec@top5: 0.4571 loss_action_cls: 0.0429 2022/12/03 20:52:19 - mmengine - INFO - Epoch(train) [7][3560/4451] lr: 3.4557e-02 eta: 1:16:03 time: 0.3219 data_time: 0.0117 memory: 8510 grad_norm: 0.1846 loss: 0.0356 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.7778 recall@top3: 0.8426 prec@top3: 0.6296 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0356 2022/12/03 20:52:25 - mmengine - INFO - Epoch(train) [7][3580/4451] lr: 3.4473e-02 eta: 1:15:57 time: 0.3213 data_time: 0.0099 memory: 8510 grad_norm: 0.1846 loss: 0.0379 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.8152 recall@top3: 0.7036 prec@top3: 0.7101 recall@top5: 0.8986 prec@top5: 0.5652 loss_action_cls: 0.0379 2022/12/03 20:52:32 - mmengine - INFO - Epoch(train) [7][3600/4451] lr: 3.4389e-02 eta: 1:15:50 time: 0.3224 data_time: 0.0121 memory: 8510 grad_norm: 0.1834 loss: 0.0386 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.6905 recall@top3: 0.9325 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0386 2022/12/03 20:52:38 - mmengine - INFO - Epoch(train) [7][3620/4451] lr: 3.4305e-02 eta: 1:15:44 time: 0.3211 data_time: 0.0102 memory: 8510 grad_norm: 0.1893 loss: 0.0369 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.8056 recall@top3: 0.8889 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0369 2022/12/03 20:52:45 - mmengine - INFO - Epoch(train) [7][3640/4451] lr: 3.4221e-02 eta: 1:15:38 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1808 loss: 0.0397 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7549 recall@top3: 0.8137 prec@top3: 0.6863 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0397 2022/12/03 20:52:51 - mmengine - INFO - Epoch(train) [7][3660/4451] lr: 3.4138e-02 eta: 1:15:31 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.1870 loss: 0.0405 recall@thr=0.5: 0.7628 prec@thr=0.5: 0.8365 recall@top3: 0.8846 prec@top3: 0.4872 recall@top5: 0.9679 prec@top5: 0.3231 loss_action_cls: 0.0405 2022/12/03 20:52:58 - mmengine - INFO - Epoch(train) [7][3680/4451] lr: 3.4054e-02 eta: 1:15:25 time: 0.3213 data_time: 0.0099 memory: 8510 grad_norm: 0.1846 loss: 0.0373 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8289 recall@top3: 0.8465 prec@top3: 0.7895 recall@top5: 0.9254 prec@top5: 0.5158 loss_action_cls: 0.0373 2022/12/03 20:53:04 - mmengine - INFO - Epoch(train) [7][3700/4451] lr: 3.3971e-02 eta: 1:15:18 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1900 loss: 0.0474 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7708 recall@top3: 0.9271 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0474 2022/12/03 20:53:10 - mmengine - INFO - Epoch(train) [7][3720/4451] lr: 3.3887e-02 eta: 1:15:12 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1883 loss: 0.0437 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.7210 recall@top3: 0.7101 prec@top3: 0.5942 recall@top5: 0.9130 prec@top5: 0.4522 loss_action_cls: 0.0437 2022/12/03 20:53:17 - mmengine - INFO - Epoch(train) [7][3740/4451] lr: 3.3803e-02 eta: 1:15:06 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1810 loss: 0.0424 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7500 recall@top3: 0.7917 prec@top3: 0.4792 recall@top5: 0.8542 prec@top5: 0.3250 loss_action_cls: 0.0424 2022/12/03 20:53:23 - mmengine - INFO - Epoch(train) [7][3760/4451] lr: 3.3720e-02 eta: 1:14:59 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.1846 loss: 0.0379 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.6923 recall@top3: 0.8077 prec@top3: 0.5385 recall@top5: 0.8462 prec@top5: 0.3385 loss_action_cls: 0.0379 2022/12/03 20:53:30 - mmengine - INFO - Epoch(train) [7][3780/4451] lr: 3.3637e-02 eta: 1:14:53 time: 0.3213 data_time: 0.0104 memory: 8510 grad_norm: 0.1859 loss: 0.0406 recall@thr=0.5: 0.4688 prec@thr=0.5: 0.6562 recall@top3: 0.6875 prec@top3: 0.5208 recall@top5: 0.7708 prec@top5: 0.3625 loss_action_cls: 0.0406 2022/12/03 20:53:36 - mmengine - INFO - Epoch(train) [7][3800/4451] lr: 3.3553e-02 eta: 1:14:46 time: 0.3202 data_time: 0.0106 memory: 8510 grad_norm: 0.1836 loss: 0.0393 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7963 recall@top3: 0.7870 prec@top3: 0.6111 recall@top5: 0.9222 prec@top5: 0.4667 loss_action_cls: 0.0393 2022/12/03 20:53:42 - mmengine - INFO - Epoch(train) [7][3820/4451] lr: 3.3470e-02 eta: 1:14:40 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.1828 loss: 0.0409 recall@thr=0.5: 0.5804 prec@thr=0.5: 0.5490 recall@top3: 0.7588 prec@top3: 0.5294 recall@top5: 0.9000 prec@top5: 0.4235 loss_action_cls: 0.0409 2022/12/03 20:53:49 - mmengine - INFO - Epoch(train) [7][3840/4451] lr: 3.3387e-02 eta: 1:14:34 time: 0.3203 data_time: 0.0120 memory: 8510 grad_norm: 0.1829 loss: 0.0406 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6961 recall@top3: 0.8480 prec@top3: 0.6863 recall@top5: 0.9118 prec@top5: 0.4471 loss_action_cls: 0.0406 2022/12/03 20:53:55 - mmengine - INFO - Epoch(train) [7][3860/4451] lr: 3.3304e-02 eta: 1:14:27 time: 0.3222 data_time: 0.0103 memory: 8510 grad_norm: 0.1773 loss: 0.0353 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8462 recall@top3: 1.0000 prec@top3: 0.6154 recall@top5: 1.0000 prec@top5: 0.3692 loss_action_cls: 0.0353 2022/12/03 20:54:02 - mmengine - INFO - Epoch(train) [7][3880/4451] lr: 3.3220e-02 eta: 1:14:21 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1808 loss: 0.0440 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.6889 recall@top3: 0.9500 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0440 2022/12/03 20:54:08 - mmengine - INFO - Epoch(train) [7][3900/4451] lr: 3.3137e-02 eta: 1:14:14 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.1831 loss: 0.0423 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.6984 recall@top3: 0.7579 prec@top3: 0.6032 recall@top5: 0.8373 prec@top5: 0.4190 loss_action_cls: 0.0423 2022/12/03 20:54:15 - mmengine - INFO - Epoch(train) [7][3920/4451] lr: 3.3054e-02 eta: 1:14:08 time: 0.3202 data_time: 0.0099 memory: 8510 grad_norm: 0.1762 loss: 0.0411 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.6587 recall@top3: 0.8413 prec@top3: 0.6667 recall@top5: 0.9484 prec@top5: 0.4571 loss_action_cls: 0.0411 2022/12/03 20:54:21 - mmengine - INFO - Epoch(train) [7][3940/4451] lr: 3.2971e-02 eta: 1:14:02 time: 0.3201 data_time: 0.0122 memory: 8510 grad_norm: 0.1882 loss: 0.0395 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.5758 recall@top3: 0.6629 prec@top3: 0.5455 recall@top5: 0.9356 prec@top5: 0.4545 loss_action_cls: 0.0395 2022/12/03 20:54:27 - mmengine - INFO - Epoch(train) [7][3960/4451] lr: 3.2888e-02 eta: 1:13:55 time: 0.3219 data_time: 0.0102 memory: 8510 grad_norm: 0.1760 loss: 0.0383 recall@thr=0.5: 0.8556 prec@thr=0.5: 0.8667 recall@top3: 0.9611 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0383 2022/12/03 20:54:34 - mmengine - INFO - Epoch(train) [7][3980/4451] lr: 3.2806e-02 eta: 1:13:49 time: 0.3199 data_time: 0.0103 memory: 8510 grad_norm: 0.1820 loss: 0.0422 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9167 recall@top3: 0.8750 prec@top3: 0.7083 recall@top5: 0.9115 prec@top5: 0.4500 loss_action_cls: 0.0422 2022/12/03 20:54:40 - mmengine - INFO - Epoch(train) [7][4000/4451] lr: 3.2723e-02 eta: 1:13:42 time: 0.3204 data_time: 0.0098 memory: 8510 grad_norm: 0.1789 loss: 0.0403 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.6078 recall@top3: 0.7941 prec@top3: 0.5294 recall@top5: 0.9314 prec@top5: 0.3882 loss_action_cls: 0.0403 2022/12/03 20:54:47 - mmengine - INFO - Epoch(train) [7][4020/4451] lr: 3.2640e-02 eta: 1:13:36 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1776 loss: 0.0408 recall@thr=0.5: 0.4458 prec@thr=0.5: 0.6500 recall@top3: 0.7000 prec@top3: 0.6333 recall@top5: 0.8208 prec@top5: 0.4700 loss_action_cls: 0.0408 2022/12/03 20:54:53 - mmengine - INFO - Epoch(train) [7][4040/4451] lr: 3.2557e-02 eta: 1:13:30 time: 0.3276 data_time: 0.0095 memory: 8510 grad_norm: 0.1818 loss: 0.0397 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.6746 recall@top3: 0.8016 prec@top3: 0.5079 recall@top5: 0.9167 prec@top5: 0.3619 loss_action_cls: 0.0397 2022/12/03 20:55:00 - mmengine - INFO - Epoch(train) [7][4060/4451] lr: 3.2475e-02 eta: 1:13:23 time: 0.3206 data_time: 0.0098 memory: 8510 grad_norm: 0.1827 loss: 0.0450 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.7939 recall@top3: 0.7803 prec@top3: 0.6364 recall@top5: 0.9205 prec@top5: 0.4727 loss_action_cls: 0.0450 2022/12/03 20:55:06 - mmengine - INFO - Epoch(train) [7][4080/4451] lr: 3.2392e-02 eta: 1:13:17 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1900 loss: 0.0389 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7059 recall@top3: 0.9216 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0389 2022/12/03 20:55:12 - mmengine - INFO - Epoch(train) [7][4100/4451] lr: 3.2309e-02 eta: 1:13:10 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1775 loss: 0.0409 recall@thr=0.5: 0.6130 prec@thr=0.5: 0.6975 recall@top3: 0.7796 prec@top3: 0.7037 recall@top5: 0.8623 prec@top5: 0.4889 loss_action_cls: 0.0409 2022/12/03 20:55:19 - mmengine - INFO - Epoch(train) [7][4120/4451] lr: 3.2227e-02 eta: 1:13:04 time: 0.3223 data_time: 0.0100 memory: 8510 grad_norm: 0.1861 loss: 0.0410 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.6818 recall@top3: 0.7980 prec@top3: 0.5253 recall@top5: 0.8990 prec@top5: 0.3697 loss_action_cls: 0.0410 2022/12/03 20:55:25 - mmengine - INFO - Epoch(train) [7][4140/4451] lr: 3.2144e-02 eta: 1:12:58 time: 0.3195 data_time: 0.0103 memory: 8510 grad_norm: 0.1874 loss: 0.0420 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6508 recall@top3: 0.7698 prec@top3: 0.6032 recall@top5: 0.9444 prec@top5: 0.4571 loss_action_cls: 0.0420 2022/12/03 20:55:32 - mmengine - INFO - Epoch(train) [7][4160/4451] lr: 3.2062e-02 eta: 1:12:51 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1761 loss: 0.0372 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.6087 recall@top3: 0.6884 prec@top3: 0.4783 recall@top5: 0.8696 prec@top5: 0.3478 loss_action_cls: 0.0372 2022/12/03 20:55:38 - mmengine - INFO - Epoch(train) [7][4180/4451] lr: 3.1980e-02 eta: 1:12:45 time: 0.3202 data_time: 0.0111 memory: 8510 grad_norm: 0.1853 loss: 0.0395 recall@thr=0.5: 0.6763 prec@thr=0.5: 0.7398 recall@top3: 0.7559 prec@top3: 0.6559 recall@top5: 0.9597 prec@top5: 0.5290 loss_action_cls: 0.0395 2022/12/03 20:55:45 - mmengine - INFO - Epoch(train) [7][4200/4451] lr: 3.1898e-02 eta: 1:12:38 time: 0.3215 data_time: 0.0108 memory: 8510 grad_norm: 0.1816 loss: 0.0385 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6618 recall@top3: 0.7451 prec@top3: 0.5098 recall@top5: 0.8088 prec@top5: 0.3353 loss_action_cls: 0.0385 2022/12/03 20:55:51 - mmengine - INFO - Epoch(train) [7][4220/4451] lr: 3.1815e-02 eta: 1:12:32 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1873 loss: 0.0437 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6875 recall@top3: 0.7292 prec@top3: 0.5208 recall@top5: 0.8229 prec@top5: 0.3625 loss_action_cls: 0.0437 2022/12/03 20:55:57 - mmengine - INFO - Epoch(train) [7][4240/4451] lr: 3.1733e-02 eta: 1:12:26 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.1859 loss: 0.0380 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.8333 recall@top3: 0.8000 prec@top3: 0.8000 recall@top5: 0.9875 prec@top5: 0.6000 loss_action_cls: 0.0380 2022/12/03 20:56:04 - mmengine - INFO - Epoch(train) [7][4260/4451] lr: 3.1651e-02 eta: 1:12:19 time: 0.3213 data_time: 0.0105 memory: 8510 grad_norm: 0.1865 loss: 0.0380 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7500 recall@top3: 0.9020 prec@top3: 0.7647 recall@top5: 0.9853 prec@top5: 0.5059 loss_action_cls: 0.0380 2022/12/03 20:56:10 - mmengine - INFO - Epoch(train) [7][4280/4451] lr: 3.1569e-02 eta: 1:12:13 time: 0.3203 data_time: 0.0106 memory: 8510 grad_norm: 0.1857 loss: 0.0366 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8039 recall@top3: 0.9657 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0366 2022/12/03 20:56:15 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:56:17 - mmengine - INFO - Epoch(train) [7][4300/4451] lr: 3.1487e-02 eta: 1:12:06 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1827 loss: 0.0395 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7257 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4167 loss_action_cls: 0.0395 2022/12/03 20:56:23 - mmengine - INFO - Epoch(train) [7][4320/4451] lr: 3.1405e-02 eta: 1:12:00 time: 0.3210 data_time: 0.0102 memory: 8510 grad_norm: 0.1849 loss: 0.0404 recall@thr=0.5: 0.4947 prec@thr=0.5: 0.5667 recall@top3: 0.6813 prec@top3: 0.5333 recall@top5: 0.8573 prec@top5: 0.4160 loss_action_cls: 0.0404 2022/12/03 20:56:29 - mmengine - INFO - Epoch(train) [7][4340/4451] lr: 3.1323e-02 eta: 1:11:54 time: 0.3200 data_time: 0.0112 memory: 8510 grad_norm: 0.1773 loss: 0.0400 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7982 recall@top3: 0.7982 prec@top3: 0.5088 recall@top5: 0.9211 prec@top5: 0.3684 loss_action_cls: 0.0400 2022/12/03 20:56:36 - mmengine - INFO - Epoch(train) [7][4360/4451] lr: 3.1241e-02 eta: 1:11:47 time: 0.3216 data_time: 0.0103 memory: 8510 grad_norm: 0.1790 loss: 0.0392 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.8429 recall@top3: 0.8013 prec@top3: 0.6667 recall@top5: 0.9006 prec@top5: 0.4692 loss_action_cls: 0.0392 2022/12/03 20:56:42 - mmengine - INFO - Epoch(train) [7][4380/4451] lr: 3.1160e-02 eta: 1:11:41 time: 0.3204 data_time: 0.0115 memory: 8510 grad_norm: 0.1834 loss: 0.0415 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6800 recall@top3: 0.7000 prec@top3: 0.5733 recall@top5: 0.8700 prec@top5: 0.4240 loss_action_cls: 0.0415 2022/12/03 20:56:49 - mmengine - INFO - Epoch(train) [7][4400/4451] lr: 3.1078e-02 eta: 1:11:34 time: 0.3201 data_time: 0.0096 memory: 8510 grad_norm: 0.1821 loss: 0.0432 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.5722 recall@top3: 0.7139 prec@top3: 0.5444 recall@top5: 0.8306 prec@top5: 0.3800 loss_action_cls: 0.0432 2022/12/03 20:56:55 - mmengine - INFO - Epoch(train) [7][4420/4451] lr: 3.0996e-02 eta: 1:11:28 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1781 loss: 0.0395 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.7628 recall@top3: 0.8205 prec@top3: 0.7308 recall@top5: 1.0000 prec@top5: 0.5077 loss_action_cls: 0.0395 2022/12/03 20:57:02 - mmengine - INFO - Epoch(train) [7][4440/4451] lr: 3.0915e-02 eta: 1:11:21 time: 0.3187 data_time: 0.0101 memory: 8510 grad_norm: 0.1843 loss: 0.0394 recall@thr=0.5: 0.7939 prec@thr=0.5: 0.8158 recall@top3: 0.9386 prec@top3: 0.5614 recall@top5: 0.9649 prec@top5: 0.3579 loss_action_cls: 0.0394 2022/12/03 20:57:05 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 20:57:05 - mmengine - INFO - Epoch(train) [7][4451/4451] lr: 3.0870e-02 eta: 1:11:18 time: 0.3139 data_time: 0.0096 memory: 8510 grad_norm: 0.1879 loss: 0.0402 recall@thr=0.5: 0.6978 prec@thr=0.5: 0.5867 recall@top3: 0.8344 prec@top3: 0.4000 recall@top5: 0.8644 prec@top5: 0.2667 loss_action_cls: 0.0402 2022/12/03 20:57:05 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/12/03 20:57:10 - mmengine - INFO - Epoch(val) [7][ 20/6282] eta: 0:04:39 time: 0.0446 data_time: 0.0087 memory: 661 2022/12/03 20:57:11 - mmengine - INFO - Epoch(val) [7][ 40/6282] eta: 0:04:17 time: 0.0378 data_time: 0.0048 memory: 661 2022/12/03 20:57:11 - mmengine - INFO - Epoch(val) [7][ 60/6282] eta: 0:04:14 time: 0.0402 data_time: 0.0043 memory: 661 2022/12/03 20:57:12 - mmengine - INFO - Epoch(val) [7][ 80/6282] eta: 0:04:10 time: 0.0390 data_time: 0.0045 memory: 661 2022/12/03 20:57:13 - mmengine - INFO - Epoch(val) [7][ 100/6282] eta: 0:04:06 time: 0.0382 data_time: 0.0038 memory: 661 2022/12/03 20:57:14 - mmengine - INFO - Epoch(val) [7][ 120/6282] eta: 0:04:13 time: 0.0469 data_time: 0.0046 memory: 732 2022/12/03 20:57:15 - mmengine - INFO - Epoch(val) [7][ 140/6282] eta: 0:04:19 time: 0.0490 data_time: 0.0052 memory: 732 2022/12/03 20:57:16 - mmengine - INFO - Epoch(val) [7][ 160/6282] eta: 0:04:23 time: 0.0493 data_time: 0.0053 memory: 732 2022/12/03 20:57:17 - mmengine - INFO - Epoch(val) [7][ 180/6282] eta: 0:04:28 time: 0.0518 data_time: 0.0067 memory: 732 2022/12/03 20:57:18 - mmengine - INFO - Epoch(val) [7][ 200/6282] eta: 0:04:30 time: 0.0482 data_time: 0.0048 memory: 732 2022/12/03 20:57:19 - mmengine - INFO - Epoch(val) [7][ 220/6282] eta: 0:04:30 time: 0.0452 data_time: 0.0068 memory: 674 2022/12/03 20:57:20 - mmengine - INFO - Epoch(val) [7][ 240/6282] eta: 0:04:30 time: 0.0472 data_time: 0.0053 memory: 674 2022/12/03 20:57:21 - mmengine - INFO - Epoch(val) [7][ 260/6282] eta: 0:04:29 time: 0.0447 data_time: 0.0083 memory: 674 2022/12/03 20:57:22 - mmengine - INFO - Epoch(val) [7][ 280/6282] eta: 0:04:28 time: 0.0449 data_time: 0.0065 memory: 674 2022/12/03 20:57:23 - mmengine - INFO - Epoch(val) [7][ 300/6282] eta: 0:04:28 time: 0.0456 data_time: 0.0047 memory: 732 2022/12/03 20:57:24 - mmengine - INFO - Epoch(val) [7][ 320/6282] eta: 0:04:28 time: 0.0470 data_time: 0.0042 memory: 732 2022/12/03 20:57:24 - mmengine - INFO - Epoch(val) [7][ 340/6282] eta: 0:04:28 time: 0.0479 data_time: 0.0055 memory: 732 2022/12/03 20:57:25 - mmengine - INFO - Epoch(val) [7][ 360/6282] eta: 0:04:28 time: 0.0497 data_time: 0.0053 memory: 732 2022/12/03 20:57:26 - mmengine - INFO - Epoch(val) [7][ 380/6282] eta: 0:04:29 time: 0.0493 data_time: 0.0052 memory: 732 2022/12/03 20:57:27 - mmengine - INFO - Epoch(val) [7][ 400/6282] eta: 0:04:28 time: 0.0462 data_time: 0.0044 memory: 732 2022/12/03 20:57:28 - mmengine - INFO - Epoch(val) [7][ 420/6282] eta: 0:04:26 time: 0.0413 data_time: 0.0051 memory: 678 2022/12/03 20:57:29 - mmengine - INFO - Epoch(val) [7][ 440/6282] eta: 0:04:25 time: 0.0450 data_time: 0.0053 memory: 678 2022/12/03 20:57:30 - mmengine - INFO - Epoch(val) [7][ 460/6282] eta: 0:04:24 time: 0.0466 data_time: 0.0051 memory: 678 2022/12/03 20:57:31 - mmengine - INFO - Epoch(val) [7][ 480/6282] eta: 0:04:22 time: 0.0421 data_time: 0.0048 memory: 678 2022/12/03 20:57:32 - mmengine - INFO - Epoch(val) [7][ 500/6282] eta: 0:04:21 time: 0.0443 data_time: 0.0054 memory: 678 2022/12/03 20:57:33 - mmengine - INFO - Epoch(val) [7][ 520/6282] eta: 0:04:20 time: 0.0437 data_time: 0.0049 memory: 674 2022/12/03 20:57:34 - mmengine - INFO - Epoch(val) [7][ 540/6282] eta: 0:04:18 time: 0.0417 data_time: 0.0052 memory: 674 2022/12/03 20:57:34 - mmengine - INFO - Epoch(val) [7][ 560/6282] eta: 0:04:17 time: 0.0427 data_time: 0.0054 memory: 674 2022/12/03 20:57:35 - mmengine - INFO - Epoch(val) [7][ 580/6282] eta: 0:04:17 time: 0.0496 data_time: 0.0072 memory: 674 2022/12/03 20:57:36 - mmengine - INFO - Epoch(val) [7][ 600/6282] eta: 0:04:17 time: 0.0480 data_time: 0.0059 memory: 674 2022/12/03 20:57:37 - mmengine - INFO - Epoch(val) [7][ 620/6282] eta: 0:04:17 time: 0.0514 data_time: 0.0070 memory: 674 2022/12/03 20:57:38 - mmengine - INFO - Epoch(val) [7][ 640/6282] eta: 0:04:15 time: 0.0406 data_time: 0.0053 memory: 670 2022/12/03 20:57:39 - mmengine - INFO - Epoch(val) [7][ 660/6282] eta: 0:04:15 time: 0.0496 data_time: 0.0048 memory: 670 2022/12/03 20:57:40 - mmengine - INFO - Epoch(val) [7][ 680/6282] eta: 0:04:16 time: 0.0552 data_time: 0.0092 memory: 670 2022/12/03 20:57:41 - mmengine - INFO - Epoch(val) [7][ 700/6282] eta: 0:04:15 time: 0.0485 data_time: 0.0062 memory: 670 2022/12/03 20:57:42 - mmengine - INFO - Epoch(val) [7][ 720/6282] eta: 0:04:15 time: 0.0527 data_time: 0.0070 memory: 732 2022/12/03 20:57:43 - mmengine - INFO - Epoch(val) [7][ 740/6282] eta: 0:04:15 time: 0.0511 data_time: 0.0062 memory: 732 2022/12/03 20:57:44 - mmengine - INFO - Epoch(val) [7][ 760/6282] eta: 0:04:15 time: 0.0499 data_time: 0.0054 memory: 732 2022/12/03 20:57:46 - mmengine - INFO - Epoch(val) [7][ 780/6282] eta: 0:04:15 time: 0.0549 data_time: 0.0063 memory: 732 2022/12/03 20:57:47 - mmengine - INFO - Epoch(val) [7][ 800/6282] eta: 0:04:15 time: 0.0494 data_time: 0.0050 memory: 732 2022/12/03 20:57:47 - mmengine - INFO - Epoch(val) [7][ 820/6282] eta: 0:04:13 time: 0.0438 data_time: 0.0041 memory: 732 2022/12/03 20:57:48 - mmengine - INFO - Epoch(val) [7][ 840/6282] eta: 0:04:12 time: 0.0445 data_time: 0.0071 memory: 674 2022/12/03 20:57:49 - mmengine - INFO - Epoch(val) [7][ 860/6282] eta: 0:04:11 time: 0.0455 data_time: 0.0067 memory: 674 2022/12/03 20:57:50 - mmengine - INFO - Epoch(val) [7][ 880/6282] eta: 0:04:10 time: 0.0457 data_time: 0.0052 memory: 674 2022/12/03 20:57:51 - mmengine - INFO - Epoch(val) [7][ 900/6282] eta: 0:04:09 time: 0.0444 data_time: 0.0044 memory: 674 2022/12/03 20:57:52 - mmengine - INFO - Epoch(val) [7][ 920/6282] eta: 0:04:07 time: 0.0423 data_time: 0.0048 memory: 674 2022/12/03 20:57:53 - mmengine - INFO - Epoch(val) [7][ 940/6282] eta: 0:04:06 time: 0.0420 data_time: 0.0068 memory: 661 2022/12/03 20:57:54 - mmengine - INFO - Epoch(val) [7][ 960/6282] eta: 0:04:05 time: 0.0411 data_time: 0.0037 memory: 661 2022/12/03 20:57:54 - mmengine - INFO - Epoch(val) [7][ 980/6282] eta: 0:04:03 time: 0.0419 data_time: 0.0078 memory: 661 2022/12/03 20:57:55 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:04:02 time: 0.0394 data_time: 0.0048 memory: 661 2022/12/03 20:57:56 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:04:00 time: 0.0396 data_time: 0.0056 memory: 674 2022/12/03 20:57:57 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:03:59 time: 0.0432 data_time: 0.0052 memory: 674 2022/12/03 20:57:58 - mmengine - INFO - Epoch(val) [7][1060/6282] eta: 0:03:58 time: 0.0454 data_time: 0.0065 memory: 674 2022/12/03 20:57:59 - mmengine - INFO - Epoch(val) [7][1080/6282] eta: 0:03:57 time: 0.0470 data_time: 0.0060 memory: 674 2022/12/03 20:58:00 - mmengine - INFO - Epoch(val) [7][1100/6282] eta: 0:03:57 time: 0.0520 data_time: 0.0078 memory: 674 2022/12/03 20:58:01 - mmengine - INFO - Epoch(val) [7][1120/6282] eta: 0:03:57 time: 0.0530 data_time: 0.0057 memory: 674 2022/12/03 20:58:02 - mmengine - INFO - Epoch(val) [7][1140/6282] eta: 0:03:56 time: 0.0514 data_time: 0.0077 memory: 674 2022/12/03 20:58:03 - mmengine - INFO - Epoch(val) [7][1160/6282] eta: 0:03:56 time: 0.0531 data_time: 0.0105 memory: 674 2022/12/03 20:58:04 - mmengine - INFO - Epoch(val) [7][1180/6282] eta: 0:03:56 time: 0.0563 data_time: 0.0064 memory: 674 2022/12/03 20:58:05 - mmengine - INFO - Epoch(val) [7][1200/6282] eta: 0:03:55 time: 0.0498 data_time: 0.0063 memory: 674 2022/12/03 20:58:06 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:03:55 time: 0.0579 data_time: 0.0073 memory: 674 2022/12/03 20:58:08 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:03:55 time: 0.0612 data_time: 0.0111 memory: 732 2022/12/03 20:58:09 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:03:55 time: 0.0580 data_time: 0.0082 memory: 732 2022/12/03 20:58:10 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:03:55 time: 0.0595 data_time: 0.0071 memory: 732 2022/12/03 20:58:11 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:03:55 time: 0.0569 data_time: 0.0047 memory: 732 2022/12/03 20:58:12 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:03:55 time: 0.0522 data_time: 0.0055 memory: 732 2022/12/03 20:58:13 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:03:54 time: 0.0505 data_time: 0.0057 memory: 732 2022/12/03 20:58:14 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:03:53 time: 0.0472 data_time: 0.0056 memory: 732 2022/12/03 20:58:15 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:03:52 time: 0.0481 data_time: 0.0049 memory: 732 2022/12/03 20:58:16 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:03:51 time: 0.0468 data_time: 0.0049 memory: 732 2022/12/03 20:58:17 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:03:50 time: 0.0465 data_time: 0.0040 memory: 732 2022/12/03 20:58:18 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:03:49 time: 0.0457 data_time: 0.0043 memory: 732 2022/12/03 20:58:19 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:03:48 time: 0.0452 data_time: 0.0050 memory: 732 2022/12/03 20:58:20 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:03:47 time: 0.0437 data_time: 0.0037 memory: 732 2022/12/03 20:58:21 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:03:46 time: 0.0472 data_time: 0.0048 memory: 732 2022/12/03 20:58:22 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:03:45 time: 0.0442 data_time: 0.0038 memory: 819 2022/12/03 20:58:23 - mmengine - INFO - Epoch(val) [7][1540/6282] eta: 0:03:44 time: 0.0511 data_time: 0.0044 memory: 819 2022/12/03 20:58:24 - mmengine - INFO - Epoch(val) [7][1560/6282] eta: 0:03:43 time: 0.0508 data_time: 0.0048 memory: 819 2022/12/03 20:58:25 - mmengine - INFO - Epoch(val) [7][1580/6282] eta: 0:03:42 time: 0.0501 data_time: 0.0036 memory: 819 2022/12/03 20:58:26 - mmengine - INFO - Epoch(val) [7][1600/6282] eta: 0:03:42 time: 0.0493 data_time: 0.0030 memory: 819 2022/12/03 20:58:27 - mmengine - INFO - Epoch(val) [7][1620/6282] eta: 0:03:41 time: 0.0496 data_time: 0.0038 memory: 819 2022/12/03 20:58:27 - mmengine - INFO - Epoch(val) [7][1640/6282] eta: 0:03:40 time: 0.0459 data_time: 0.0039 memory: 732 2022/12/03 20:58:28 - mmengine - INFO - Epoch(val) [7][1660/6282] eta: 0:03:39 time: 0.0445 data_time: 0.0049 memory: 732 2022/12/03 20:58:29 - mmengine - INFO - Epoch(val) [7][1680/6282] eta: 0:03:38 time: 0.0487 data_time: 0.0056 memory: 732 2022/12/03 20:58:30 - mmengine - INFO - Epoch(val) [7][1700/6282] eta: 0:03:37 time: 0.0547 data_time: 0.0071 memory: 732 2022/12/03 20:58:32 - mmengine - INFO - Epoch(val) [7][1720/6282] eta: 0:03:37 time: 0.0538 data_time: 0.0062 memory: 732 2022/12/03 20:58:33 - mmengine - INFO - Epoch(val) [7][1740/6282] eta: 0:03:36 time: 0.0563 data_time: 0.0065 memory: 732 2022/12/03 20:58:34 - mmengine - INFO - Epoch(val) [7][1760/6282] eta: 0:03:36 time: 0.0570 data_time: 0.0068 memory: 732 2022/12/03 20:58:35 - mmengine - INFO - Epoch(val) [7][1780/6282] eta: 0:03:35 time: 0.0517 data_time: 0.0058 memory: 732 2022/12/03 20:58:36 - mmengine - INFO - Epoch(val) [7][1800/6282] eta: 0:03:34 time: 0.0544 data_time: 0.0068 memory: 732 2022/12/03 20:58:37 - mmengine - INFO - Epoch(val) [7][1820/6282] eta: 0:03:33 time: 0.0511 data_time: 0.0064 memory: 732 2022/12/03 20:58:38 - mmengine - INFO - Epoch(val) [7][1840/6282] eta: 0:03:33 time: 0.0522 data_time: 0.0046 memory: 732 2022/12/03 20:58:39 - mmengine - INFO - Epoch(val) [7][1860/6282] eta: 0:03:32 time: 0.0556 data_time: 0.0072 memory: 732 2022/12/03 20:58:40 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:03:31 time: 0.0509 data_time: 0.0053 memory: 732 2022/12/03 20:58:41 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:03:30 time: 0.0492 data_time: 0.0062 memory: 732 2022/12/03 20:58:42 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:03:30 time: 0.0531 data_time: 0.0059 memory: 732 2022/12/03 20:58:43 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:03:28 time: 0.0438 data_time: 0.0034 memory: 732 2022/12/03 20:58:44 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:03:27 time: 0.0445 data_time: 0.0046 memory: 678 2022/12/03 20:58:45 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:03:26 time: 0.0422 data_time: 0.0057 memory: 678 2022/12/03 20:58:46 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:03:25 time: 0.0418 data_time: 0.0042 memory: 678 2022/12/03 20:58:47 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:03:24 time: 0.0430 data_time: 0.0051 memory: 678 2022/12/03 20:58:48 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:03:23 time: 0.0434 data_time: 0.0062 memory: 678 2022/12/03 20:58:48 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:03:21 time: 0.0445 data_time: 0.0044 memory: 678 2022/12/03 20:58:49 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:03:20 time: 0.0416 data_time: 0.0049 memory: 678 2022/12/03 20:58:50 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:03:19 time: 0.0412 data_time: 0.0042 memory: 678 2022/12/03 20:58:51 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:03:18 time: 0.0430 data_time: 0.0048 memory: 678 2022/12/03 20:58:52 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:03:17 time: 0.0423 data_time: 0.0053 memory: 678 2022/12/03 20:58:53 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:03:16 time: 0.0454 data_time: 0.0049 memory: 674 2022/12/03 20:58:54 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:03:15 time: 0.0422 data_time: 0.0044 memory: 674 2022/12/03 20:58:54 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:03:13 time: 0.0431 data_time: 0.0055 memory: 674 2022/12/03 20:58:55 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:03:12 time: 0.0435 data_time: 0.0052 memory: 674 2022/12/03 20:58:56 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:03:11 time: 0.0440 data_time: 0.0056 memory: 674 2022/12/03 20:58:57 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:03:10 time: 0.0469 data_time: 0.0068 memory: 678 2022/12/03 20:58:58 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:03:09 time: 0.0419 data_time: 0.0058 memory: 678 2022/12/03 20:58:59 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:03:08 time: 0.0438 data_time: 0.0080 memory: 678 2022/12/03 20:59:00 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:03:07 time: 0.0465 data_time: 0.0052 memory: 678 2022/12/03 20:59:01 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:03:06 time: 0.0496 data_time: 0.0066 memory: 678 2022/12/03 20:59:02 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:03:05 time: 0.0517 data_time: 0.0079 memory: 674 2022/12/03 20:59:03 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:03:05 time: 0.0520 data_time: 0.0074 memory: 674 2022/12/03 20:59:04 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:03:04 time: 0.0502 data_time: 0.0053 memory: 674 2022/12/03 20:59:05 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:03:03 time: 0.0492 data_time: 0.0076 memory: 674 2022/12/03 20:59:06 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:03:02 time: 0.0471 data_time: 0.0053 memory: 674 2022/12/03 20:59:07 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:03:01 time: 0.0531 data_time: 0.0062 memory: 732 2022/12/03 20:59:08 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:03:00 time: 0.0500 data_time: 0.0058 memory: 732 2022/12/03 20:59:09 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:02:59 time: 0.0483 data_time: 0.0058 memory: 732 2022/12/03 20:59:10 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:02:58 time: 0.0494 data_time: 0.0071 memory: 732 2022/12/03 20:59:11 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:02:57 time: 0.0487 data_time: 0.0044 memory: 732 2022/12/03 20:59:12 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:02:57 time: 0.0474 data_time: 0.0040 memory: 732 2022/12/03 20:59:13 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:02:56 time: 0.0481 data_time: 0.0056 memory: 732 2022/12/03 20:59:14 - mmengine - INFO - Epoch(val) [7][2600/6282] eta: 0:02:55 time: 0.0493 data_time: 0.0056 memory: 732 2022/12/03 20:59:15 - mmengine - INFO - Epoch(val) [7][2620/6282] eta: 0:02:54 time: 0.0505 data_time: 0.0066 memory: 732 2022/12/03 20:59:16 - mmengine - INFO - Epoch(val) [7][2640/6282] eta: 0:02:53 time: 0.0490 data_time: 0.0055 memory: 732 2022/12/03 20:59:17 - mmengine - INFO - Epoch(val) [7][2660/6282] eta: 0:02:52 time: 0.0499 data_time: 0.0034 memory: 811 2022/12/03 20:59:18 - mmengine - INFO - Epoch(val) [7][2680/6282] eta: 0:02:51 time: 0.0533 data_time: 0.0051 memory: 811 2022/12/03 20:59:19 - mmengine - INFO - Epoch(val) [7][2700/6282] eta: 0:02:50 time: 0.0534 data_time: 0.0075 memory: 811 2022/12/03 20:59:20 - mmengine - INFO - Epoch(val) [7][2720/6282] eta: 0:02:50 time: 0.0514 data_time: 0.0033 memory: 811 2022/12/03 20:59:21 - mmengine - INFO - Epoch(val) [7][2740/6282] eta: 0:02:49 time: 0.0551 data_time: 0.0071 memory: 811 2022/12/03 20:59:22 - mmengine - INFO - Epoch(val) [7][2760/6282] eta: 0:02:48 time: 0.0440 data_time: 0.0051 memory: 678 2022/12/03 20:59:23 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:02:47 time: 0.0439 data_time: 0.0067 memory: 678 2022/12/03 20:59:24 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:02:45 time: 0.0379 data_time: 0.0035 memory: 678 2022/12/03 20:59:24 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:02:44 time: 0.0382 data_time: 0.0040 memory: 678 2022/12/03 20:59:25 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:02:43 time: 0.0398 data_time: 0.0043 memory: 678 2022/12/03 20:59:26 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:02:42 time: 0.0401 data_time: 0.0032 memory: 732 2022/12/03 20:59:27 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:02:41 time: 0.0454 data_time: 0.0044 memory: 732 2022/12/03 20:59:28 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:02:40 time: 0.0480 data_time: 0.0055 memory: 732 2022/12/03 20:59:29 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:02:39 time: 0.0423 data_time: 0.0045 memory: 732 2022/12/03 20:59:30 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:02:38 time: 0.0433 data_time: 0.0045 memory: 701 2022/12/03 20:59:31 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:02:37 time: 0.0444 data_time: 0.0053 memory: 701 2022/12/03 20:59:31 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:02:36 time: 0.0434 data_time: 0.0046 memory: 701 2022/12/03 20:59:32 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:02:35 time: 0.0419 data_time: 0.0036 memory: 701 2022/12/03 20:59:33 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:02:34 time: 0.0481 data_time: 0.0039 memory: 732 2022/12/03 20:59:34 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:02:33 time: 0.0456 data_time: 0.0044 memory: 732 2022/12/03 20:59:35 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:02:32 time: 0.0440 data_time: 0.0039 memory: 732 2022/12/03 20:59:36 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:02:31 time: 0.0488 data_time: 0.0053 memory: 732 2022/12/03 20:59:37 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:02:30 time: 0.0453 data_time: 0.0053 memory: 732 2022/12/03 20:59:38 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:02:29 time: 0.0398 data_time: 0.0044 memory: 678 2022/12/03 20:59:39 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:02:28 time: 0.0392 data_time: 0.0040 memory: 678 2022/12/03 20:59:39 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:02:27 time: 0.0422 data_time: 0.0042 memory: 678 2022/12/03 20:59:40 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:02:26 time: 0.0435 data_time: 0.0060 memory: 678 2022/12/03 20:59:41 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:02:25 time: 0.0455 data_time: 0.0062 memory: 732 2022/12/03 20:59:42 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:02:24 time: 0.0476 data_time: 0.0049 memory: 732 2022/12/03 20:59:43 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:02:23 time: 0.0459 data_time: 0.0049 memory: 732 2022/12/03 20:59:44 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:02:22 time: 0.0478 data_time: 0.0046 memory: 732 2022/12/03 20:59:45 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:02:21 time: 0.0467 data_time: 0.0045 memory: 732 2022/12/03 20:59:46 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:02:20 time: 0.0492 data_time: 0.0062 memory: 732 2022/12/03 20:59:47 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:02:19 time: 0.0446 data_time: 0.0043 memory: 732 2022/12/03 20:59:48 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:02:18 time: 0.0449 data_time: 0.0039 memory: 732 2022/12/03 20:59:49 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:02:17 time: 0.0443 data_time: 0.0041 memory: 732 2022/12/03 20:59:50 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:02:16 time: 0.0446 data_time: 0.0039 memory: 732 2022/12/03 20:59:50 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:02:15 time: 0.0421 data_time: 0.0056 memory: 674 2022/12/03 20:59:51 - mmengine - INFO - Epoch(val) 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0:02:06 time: 0.0441 data_time: 0.0058 memory: 715 2022/12/03 20:59:59 - mmengine - INFO - Epoch(val) [7][3600/6282] eta: 0:02:05 time: 0.0471 data_time: 0.0093 memory: 715 2022/12/03 21:00:00 - mmengine - INFO - Epoch(val) [7][3620/6282] eta: 0:02:04 time: 0.0475 data_time: 0.0067 memory: 715 2022/12/03 21:00:01 - mmengine - INFO - Epoch(val) [7][3640/6282] eta: 0:02:03 time: 0.0454 data_time: 0.0052 memory: 715 2022/12/03 21:00:02 - mmengine - INFO - Epoch(val) [7][3660/6282] eta: 0:02:02 time: 0.0482 data_time: 0.0054 memory: 715 2022/12/03 21:00:03 - mmengine - INFO - Epoch(val) [7][3680/6282] eta: 0:02:01 time: 0.0484 data_time: 0.0049 memory: 732 2022/12/03 21:00:04 - mmengine - INFO - Epoch(val) [7][3700/6282] eta: 0:02:00 time: 0.0509 data_time: 0.0056 memory: 732 2022/12/03 21:00:05 - mmengine - INFO - Epoch(val) [7][3720/6282] eta: 0:02:00 time: 0.0496 data_time: 0.0053 memory: 732 2022/12/03 21:00:06 - mmengine - INFO - Epoch(val) [7][3740/6282] eta: 0:01:59 time: 0.0475 data_time: 0.0062 memory: 732 2022/12/03 21:00:07 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:01:58 time: 0.0484 data_time: 0.0054 memory: 732 2022/12/03 21:00:08 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:01:57 time: 0.0488 data_time: 0.0055 memory: 732 2022/12/03 21:00:09 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:01:56 time: 0.0473 data_time: 0.0053 memory: 732 2022/12/03 21:00:10 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:01:55 time: 0.0435 data_time: 0.0034 memory: 732 2022/12/03 21:00:11 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:01:54 time: 0.0445 data_time: 0.0033 memory: 732 2022/12/03 21:00:11 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:01:53 time: 0.0428 data_time: 0.0043 memory: 732 2022/12/03 21:00:12 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:01:52 time: 0.0448 data_time: 0.0046 memory: 732 2022/12/03 21:00:13 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:01:51 time: 0.0438 data_time: 0.0041 memory: 732 2022/12/03 21:00:14 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:01:50 time: 0.0472 data_time: 0.0048 memory: 732 2022/12/03 21:00:15 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:01:49 time: 0.0466 data_time: 0.0052 memory: 732 2022/12/03 21:00:16 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:01:48 time: 0.0463 data_time: 0.0049 memory: 732 2022/12/03 21:00:17 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:01:47 time: 0.0484 data_time: 0.0047 memory: 732 2022/12/03 21:00:18 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:01:46 time: 0.0452 data_time: 0.0034 memory: 732 2022/12/03 21:00:19 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:01:45 time: 0.0453 data_time: 0.0046 memory: 732 2022/12/03 21:00:20 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:01:44 time: 0.0464 data_time: 0.0054 memory: 811 2022/12/03 21:00:21 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:01:44 time: 0.0557 data_time: 0.0044 memory: 811 2022/12/03 21:00:22 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:01:43 time: 0.0547 data_time: 0.0049 memory: 811 2022/12/03 21:00:23 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:01:42 time: 0.0513 data_time: 0.0054 memory: 811 2022/12/03 21:00:24 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:01:41 time: 0.0500 data_time: 0.0030 memory: 811 2022/12/03 21:00:25 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:01:40 time: 0.0512 data_time: 0.0050 memory: 811 2022/12/03 21:00:26 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:01:39 time: 0.0398 data_time: 0.0036 memory: 674 2022/12/03 21:00:27 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:01:38 time: 0.0409 data_time: 0.0052 memory: 674 2022/12/03 21:00:28 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:01:37 time: 0.0422 data_time: 0.0050 memory: 674 2022/12/03 21:00:28 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:01:36 time: 0.0407 data_time: 0.0036 memory: 674 2022/12/03 21:00:29 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:01:35 time: 0.0407 data_time: 0.0053 memory: 674 2022/12/03 21:00:30 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:01:34 time: 0.0420 data_time: 0.0042 memory: 672 2022/12/03 21:00:31 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:01:33 time: 0.0426 data_time: 0.0057 memory: 672 2022/12/03 21:00:32 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:01:32 time: 0.0374 data_time: 0.0026 memory: 672 2022/12/03 21:00:33 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:01:31 time: 0.0422 data_time: 0.0043 memory: 672 2022/12/03 21:00:33 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:01:30 time: 0.0427 data_time: 0.0055 memory: 672 2022/12/03 21:00:34 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:01:29 time: 0.0441 data_time: 0.0034 memory: 732 2022/12/03 21:00:35 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:01:28 time: 0.0429 data_time: 0.0050 memory: 732 2022/12/03 21:00:36 - mmengine - INFO - Epoch(val) 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0:01:20 time: 0.0410 data_time: 0.0050 memory: 678 2022/12/03 21:00:44 - mmengine - INFO - Epoch(val) [7][4580/6282] eta: 0:01:19 time: 0.0394 data_time: 0.0047 memory: 678 2022/12/03 21:00:45 - mmengine - INFO - Epoch(val) [7][4600/6282] eta: 0:01:18 time: 0.0405 data_time: 0.0052 memory: 678 2022/12/03 21:00:46 - mmengine - INFO - Epoch(val) [7][4620/6282] eta: 0:01:17 time: 0.0404 data_time: 0.0037 memory: 678 2022/12/03 21:00:47 - mmengine - INFO - Epoch(val) [7][4640/6282] eta: 0:01:16 time: 0.0453 data_time: 0.0053 memory: 739 2022/12/03 21:00:47 - mmengine - INFO - Epoch(val) [7][4660/6282] eta: 0:01:15 time: 0.0459 data_time: 0.0050 memory: 739 2022/12/03 21:00:48 - mmengine - INFO - Epoch(val) [7][4680/6282] eta: 0:01:14 time: 0.0445 data_time: 0.0037 memory: 739 2022/12/03 21:00:49 - mmengine - INFO - Epoch(val) [7][4700/6282] eta: 0:01:13 time: 0.0437 data_time: 0.0033 memory: 739 2022/12/03 21:00:50 - mmengine - INFO - Epoch(val) [7][4720/6282] eta: 0:01:12 time: 0.0436 data_time: 0.0039 memory: 739 2022/12/03 21:00:51 - mmengine - INFO - Epoch(val) [7][4740/6282] eta: 0:01:11 time: 0.0409 data_time: 0.0037 memory: 698 2022/12/03 21:00:52 - mmengine - INFO - Epoch(val) [7][4760/6282] eta: 0:01:10 time: 0.0414 data_time: 0.0055 memory: 698 2022/12/03 21:00:53 - mmengine - INFO - Epoch(val) [7][4780/6282] eta: 0:01:09 time: 0.0448 data_time: 0.0052 memory: 698 2022/12/03 21:00:54 - mmengine - INFO - Epoch(val) [7][4800/6282] eta: 0:01:08 time: 0.0434 data_time: 0.0056 memory: 698 2022/12/03 21:00:54 - mmengine - INFO - Epoch(val) [7][4820/6282] eta: 0:01:07 time: 0.0432 data_time: 0.0041 memory: 732 2022/12/03 21:00:55 - mmengine - INFO - Epoch(val) [7][4840/6282] eta: 0:01:06 time: 0.0467 data_time: 0.0044 memory: 732 2022/12/03 21:00:56 - mmengine - INFO - Epoch(val) [7][4860/6282] eta: 0:01:05 time: 0.0456 data_time: 0.0041 memory: 732 2022/12/03 21:00:57 - mmengine - INFO - Epoch(val) [7][4880/6282] eta: 0:01:04 time: 0.0438 data_time: 0.0047 memory: 732 2022/12/03 21:00:58 - mmengine - INFO - Epoch(val) [7][4900/6282] eta: 0:01:04 time: 0.0458 data_time: 0.0048 memory: 732 2022/12/03 21:00:59 - mmengine - INFO - Epoch(val) [7][4920/6282] eta: 0:01:03 time: 0.0478 data_time: 0.0050 memory: 735 2022/12/03 21:01:00 - mmengine - INFO - Epoch(val) [7][4940/6282] eta: 0:01:02 time: 0.0467 data_time: 0.0032 memory: 735 2022/12/03 21:01:01 - mmengine - INFO - Epoch(val) [7][4960/6282] eta: 0:01:01 time: 0.0494 data_time: 0.0062 memory: 735 2022/12/03 21:01:02 - mmengine - INFO - Epoch(val) [7][4980/6282] eta: 0:01:00 time: 0.0484 data_time: 0.0068 memory: 735 2022/12/03 21:01:03 - mmengine - INFO - Epoch(val) [7][5000/6282] eta: 0:00:59 time: 0.0496 data_time: 0.0063 memory: 735 2022/12/03 21:01:04 - mmengine - INFO - Epoch(val) [7][5020/6282] eta: 0:00:58 time: 0.0448 data_time: 0.0058 memory: 735 2022/12/03 21:01:05 - mmengine - INFO - Epoch(val) [7][5040/6282] eta: 0:00:57 time: 0.0432 data_time: 0.0044 memory: 678 2022/12/03 21:01:06 - mmengine - INFO - Epoch(val) [7][5060/6282] eta: 0:00:56 time: 0.0402 data_time: 0.0030 memory: 678 2022/12/03 21:01:07 - mmengine - INFO - Epoch(val) [7][5080/6282] eta: 0:00:55 time: 0.0453 data_time: 0.0056 memory: 678 2022/12/03 21:01:07 - mmengine - INFO - Epoch(val) [7][5100/6282] eta: 0:00:54 time: 0.0433 data_time: 0.0055 memory: 678 2022/12/03 21:01:08 - mmengine - INFO - Epoch(val) [7][5120/6282] eta: 0:00:53 time: 0.0416 data_time: 0.0049 memory: 678 2022/12/03 21:01:09 - mmengine - INFO - Epoch(val) [7][5140/6282] eta: 0:00:52 time: 0.0420 data_time: 0.0047 memory: 674 2022/12/03 21:01:10 - mmengine - INFO - Epoch(val) [7][5160/6282] eta: 0:00:51 time: 0.0455 data_time: 0.0081 memory: 674 2022/12/03 21:01:11 - mmengine - INFO - Epoch(val) [7][5180/6282] eta: 0:00:51 time: 0.0451 data_time: 0.0055 memory: 674 2022/12/03 21:01:12 - mmengine - INFO - Epoch(val) [7][5200/6282] eta: 0:00:50 time: 0.0412 data_time: 0.0051 memory: 674 2022/12/03 21:01:13 - mmengine - 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data_time: 0.0043 memory: 674 2022/12/03 21:01:34 - mmengine - INFO - Epoch(val) [7][5720/6282] eta: 0:00:25 time: 0.0401 data_time: 0.0040 memory: 707 2022/12/03 21:01:35 - mmengine - INFO - Epoch(val) [7][5740/6282] eta: 0:00:24 time: 0.0421 data_time: 0.0048 memory: 707 2022/12/03 21:01:35 - mmengine - INFO - Epoch(val) [7][5760/6282] eta: 0:00:23 time: 0.0436 data_time: 0.0047 memory: 707 2022/12/03 21:01:36 - mmengine - INFO - Epoch(val) [7][5780/6282] eta: 0:00:23 time: 0.0449 data_time: 0.0049 memory: 707 2022/12/03 21:01:37 - mmengine - INFO - Epoch(val) [7][5800/6282] eta: 0:00:22 time: 0.0441 data_time: 0.0056 memory: 707 2022/12/03 21:01:38 - mmengine - INFO - Epoch(val) [7][5820/6282] eta: 0:00:21 time: 0.0441 data_time: 0.0058 memory: 707 2022/12/03 21:01:39 - mmengine - INFO - Epoch(val) [7][5840/6282] eta: 0:00:20 time: 0.0455 data_time: 0.0072 memory: 694 2022/12/03 21:01:40 - mmengine - INFO - Epoch(val) [7][5860/6282] eta: 0:00:19 time: 0.0405 data_time: 0.0036 memory: 694 2022/12/03 21:01:41 - mmengine - INFO - Epoch(val) [7][5880/6282] eta: 0:00:18 time: 0.0406 data_time: 0.0044 memory: 694 2022/12/03 21:01:41 - mmengine - INFO - Epoch(val) [7][5900/6282] eta: 0:00:17 time: 0.0395 data_time: 0.0052 memory: 694 2022/12/03 21:01:42 - mmengine - INFO - Epoch(val) [7][5920/6282] eta: 0:00:16 time: 0.0405 data_time: 0.0040 memory: 694 2022/12/03 21:01:43 - mmengine - INFO - Epoch(val) [7][5940/6282] eta: 0:00:15 time: 0.0393 data_time: 0.0042 memory: 674 2022/12/03 21:01:44 - mmengine - INFO - Epoch(val) [7][5960/6282] eta: 0:00:14 time: 0.0381 data_time: 0.0031 memory: 674 2022/12/03 21:01:45 - mmengine - INFO - Epoch(val) [7][5980/6282] eta: 0:00:13 time: 0.0332 data_time: 0.0032 memory: 674 2022/12/03 21:01:45 - mmengine - INFO - Epoch(val) [7][6000/6282] eta: 0:00:12 time: 0.0334 data_time: 0.0021 memory: 732 2022/12/03 21:01:46 - mmengine - INFO - Epoch(val) [7][6020/6282] eta: 0:00:11 time: 0.0337 data_time: 0.0020 memory: 732 2022/12/03 21:01:47 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:11 time: 0.0338 data_time: 0.0020 memory: 732 2022/12/03 21:01:47 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:10 time: 0.0340 data_time: 0.0019 memory: 732 2022/12/03 21:01:48 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:09 time: 0.0361 data_time: 0.0019 memory: 732 2022/12/03 21:01:49 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:08 time: 0.0336 data_time: 0.0019 memory: 732 2022/12/03 21:01:49 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:07 time: 0.0335 data_time: 0.0021 memory: 732 2022/12/03 21:01:50 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:06 time: 0.0332 data_time: 0.0018 memory: 732 2022/12/03 21:01:51 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:05 time: 0.0331 data_time: 0.0018 memory: 732 2022/12/03 21:01:51 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:04 time: 0.0331 data_time: 0.0017 memory: 732 2022/12/03 21:01:52 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:03 time: 0.0329 data_time: 0.0016 memory: 732 2022/12/03 21:01:53 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:02 time: 0.0330 data_time: 0.0016 memory: 732 2022/12/03 21:01:53 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:01 time: 0.0324 data_time: 0.0014 memory: 732 2022/12/03 21:01:54 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:00 time: 0.0324 data_time: 0.0014 memory: 732 2022/12/03 21:01:55 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0321 data_time: 0.0014 memory: 732 2022/12/03 21:05:23 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.2763 2022/12/03 21:05:30 - mmengine - INFO - Epoch(train) [8][ 20/4451] lr: 3.0788e-02 eta: 1:11:12 time: 0.3487 data_time: 0.0367 memory: 8510 grad_norm: 0.1925 loss: 0.0356 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.8889 recall@top3: 0.9556 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0356 2022/12/03 21:05:36 - mmengine - INFO - Epoch(train) [8][ 40/4451] lr: 3.0707e-02 eta: 1:11:05 time: 0.3207 data_time: 0.0110 memory: 8510 grad_norm: 0.1865 loss: 0.0391 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.7269 recall@top3: 0.9398 prec@top3: 0.6296 recall@top5: 0.9676 prec@top5: 0.4000 loss_action_cls: 0.0391 2022/12/03 21:05:43 - mmengine - INFO - Epoch(train) [8][ 60/4451] lr: 3.0626e-02 eta: 1:10:59 time: 0.3196 data_time: 0.0102 memory: 8510 grad_norm: 0.1864 loss: 0.0431 recall@thr=0.5: 0.3213 prec@thr=0.5: 0.3851 recall@top3: 0.7483 prec@top3: 0.5632 recall@top5: 0.8684 prec@top5: 0.4069 loss_action_cls: 0.0431 2022/12/03 21:05:49 - mmengine - INFO - Epoch(train) [8][ 80/4451] lr: 3.0544e-02 eta: 1:10:53 time: 0.3189 data_time: 0.0107 memory: 8510 grad_norm: 0.1882 loss: 0.0367 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.5568 recall@top3: 0.8447 prec@top3: 0.6061 recall@top5: 0.9205 prec@top5: 0.4182 loss_action_cls: 0.0367 2022/12/03 21:05:55 - mmengine - INFO - Epoch(train) [8][ 100/4451] lr: 3.0463e-02 eta: 1:10:46 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1858 loss: 0.0383 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.7667 recall@top3: 0.8206 prec@top3: 0.7444 recall@top5: 0.9222 prec@top5: 0.5267 loss_action_cls: 0.0383 2022/12/03 21:06:02 - mmengine - INFO - Epoch(train) [8][ 120/4451] lr: 3.0382e-02 eta: 1:10:40 time: 0.3207 data_time: 0.0103 memory: 8510 grad_norm: 0.1864 loss: 0.0345 recall@thr=0.5: 0.8543 prec@thr=0.5: 0.7826 recall@top3: 0.8812 prec@top3: 0.7101 recall@top5: 0.9717 prec@top5: 0.4783 loss_action_cls: 0.0345 2022/12/03 21:06:08 - mmengine - INFO - Epoch(train) [8][ 140/4451] lr: 3.0301e-02 eta: 1:10:33 time: 0.3201 data_time: 0.0121 memory: 8510 grad_norm: 0.1793 loss: 0.0361 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8426 recall@top3: 0.8750 prec@top3: 0.7407 recall@top5: 0.9861 prec@top5: 0.5111 loss_action_cls: 0.0361 2022/12/03 21:06:15 - mmengine - INFO - Epoch(train) [8][ 160/4451] lr: 3.0220e-02 eta: 1:10:27 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.1768 loss: 0.0422 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6706 recall@top3: 0.9286 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4381 loss_action_cls: 0.0422 2022/12/03 21:06:21 - mmengine - INFO - Epoch(train) [8][ 180/4451] lr: 3.0139e-02 eta: 1:10:20 time: 0.3196 data_time: 0.0101 memory: 8510 grad_norm: 0.1874 loss: 0.0403 recall@thr=0.5: 0.7661 prec@thr=0.5: 0.8966 recall@top3: 0.7937 prec@top3: 0.7816 recall@top5: 0.8868 prec@top5: 0.5379 loss_action_cls: 0.0403 2022/12/03 21:06:27 - mmengine - INFO - Epoch(train) [8][ 200/4451] lr: 3.0058e-02 eta: 1:10:14 time: 0.3201 data_time: 0.0107 memory: 8510 grad_norm: 0.1850 loss: 0.0375 recall@thr=0.5: 0.7571 prec@thr=0.5: 0.7857 recall@top3: 0.8179 prec@top3: 0.7143 recall@top5: 0.9762 prec@top5: 0.5571 loss_action_cls: 0.0375 2022/12/03 21:06:34 - mmengine - INFO - Epoch(train) [8][ 220/4451] lr: 2.9977e-02 eta: 1:10:08 time: 0.3200 data_time: 0.0095 memory: 8510 grad_norm: 0.1836 loss: 0.0362 recall@thr=0.5: 0.8281 prec@thr=0.5: 0.9333 recall@top3: 0.8219 prec@top3: 0.8421 recall@top5: 0.9526 prec@top5: 0.6105 loss_action_cls: 0.0362 2022/12/03 21:06:40 - mmengine - INFO - Epoch(train) [8][ 240/4451] lr: 2.9896e-02 eta: 1:10:01 time: 0.3208 data_time: 0.0103 memory: 8510 grad_norm: 0.1879 loss: 0.0408 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6852 recall@top3: 0.7593 prec@top3: 0.4630 recall@top5: 0.8796 prec@top5: 0.3333 loss_action_cls: 0.0408 2022/12/03 21:06:47 - mmengine - INFO - Epoch(train) [8][ 260/4451] lr: 2.9815e-02 eta: 1:09:55 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1989 loss: 0.0343 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8375 recall@top3: 0.7792 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4900 loss_action_cls: 0.0343 2022/12/03 21:06:53 - mmengine - INFO - Epoch(train) [8][ 280/4451] lr: 2.9735e-02 eta: 1:09:48 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1967 loss: 0.0406 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8375 recall@top3: 0.9167 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0406 2022/12/03 21:06:59 - mmengine - INFO - Epoch(train) [8][ 300/4451] lr: 2.9654e-02 eta: 1:09:42 time: 0.3195 data_time: 0.0101 memory: 8510 grad_norm: 0.1846 loss: 0.0404 recall@thr=0.5: 0.6080 prec@thr=0.5: 0.7025 recall@top3: 0.7685 prec@top3: 0.5309 recall@top5: 0.9321 prec@top5: 0.4222 loss_action_cls: 0.0404 2022/12/03 21:07:06 - mmengine - INFO - Epoch(train) [8][ 320/4451] lr: 2.9573e-02 eta: 1:09:36 time: 0.3194 data_time: 0.0115 memory: 8510 grad_norm: 0.1835 loss: 0.0379 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8211 recall@top3: 0.8947 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0379 2022/12/03 21:07:12 - mmengine - INFO - Epoch(train) [8][ 340/4451] lr: 2.9493e-02 eta: 1:09:29 time: 0.3188 data_time: 0.0101 memory: 8510 grad_norm: 0.1906 loss: 0.0379 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7593 recall@top3: 0.8426 prec@top3: 0.7593 recall@top5: 0.8889 prec@top5: 0.4889 loss_action_cls: 0.0379 2022/12/03 21:07:19 - mmengine - INFO - Epoch(train) [8][ 360/4451] lr: 2.9413e-02 eta: 1:09:23 time: 0.3200 data_time: 0.0100 memory: 8510 grad_norm: 0.1885 loss: 0.0389 recall@thr=0.5: 0.5123 prec@thr=0.5: 0.6296 recall@top3: 0.7389 prec@top3: 0.6173 recall@top5: 0.9290 prec@top5: 0.4889 loss_action_cls: 0.0389 2022/12/03 21:07:25 - mmengine - INFO - Epoch(train) [8][ 380/4451] lr: 2.9332e-02 eta: 1:09:16 time: 0.3206 data_time: 0.0105 memory: 8510 grad_norm: 0.1874 loss: 0.0390 recall@thr=0.5: 0.7067 prec@thr=0.5: 0.8500 recall@top3: 0.9467 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0390 2022/12/03 21:07:31 - mmengine - INFO - Epoch(train) [8][ 400/4451] lr: 2.9252e-02 eta: 1:09:10 time: 0.3191 data_time: 0.0102 memory: 8510 grad_norm: 0.1867 loss: 0.0359 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.7049 recall@top3: 0.6806 prec@top3: 0.6111 recall@top5: 0.8750 prec@top5: 0.4667 loss_action_cls: 0.0359 2022/12/03 21:07:38 - mmengine - INFO - Epoch(train) [8][ 420/4451] lr: 2.9172e-02 eta: 1:09:04 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1790 loss: 0.0366 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8571 recall@top3: 0.8571 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.3619 loss_action_cls: 0.0366 2022/12/03 21:07:44 - mmengine - INFO - Epoch(train) [8][ 440/4451] lr: 2.9091e-02 eta: 1:08:57 time: 0.3217 data_time: 0.0102 memory: 8510 grad_norm: 0.1866 loss: 0.0375 recall@thr=0.5: 0.5962 prec@thr=0.5: 0.6474 recall@top3: 0.8013 prec@top3: 0.6282 recall@top5: 0.9744 prec@top5: 0.4462 loss_action_cls: 0.0375 2022/12/03 21:07:51 - mmengine - INFO - Epoch(train) [8][ 460/4451] lr: 2.9011e-02 eta: 1:08:51 time: 0.3203 data_time: 0.0107 memory: 8510 grad_norm: 0.1827 loss: 0.0415 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.5881 recall@top3: 0.5833 prec@top3: 0.5238 recall@top5: 0.7579 prec@top5: 0.4095 loss_action_cls: 0.0415 2022/12/03 21:07:57 - mmengine - INFO - Epoch(train) [8][ 480/4451] lr: 2.8931e-02 eta: 1:08:44 time: 0.3205 data_time: 0.0098 memory: 8510 grad_norm: 0.1994 loss: 0.0385 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8611 recall@top3: 0.9259 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0385 2022/12/03 21:08:03 - mmengine - INFO - Epoch(train) [8][ 500/4451] lr: 2.8851e-02 eta: 1:08:38 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.1873 loss: 0.0354 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7273 recall@top3: 0.8030 prec@top3: 0.5152 recall@top5: 0.8939 prec@top5: 0.3545 loss_action_cls: 0.0354 2022/12/03 21:08:10 - mmengine - INFO - Epoch(train) [8][ 520/4451] lr: 2.8771e-02 eta: 1:08:31 time: 0.3201 data_time: 0.0097 memory: 8510 grad_norm: 0.1930 loss: 0.0370 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6867 recall@top3: 0.7833 prec@top3: 0.7000 recall@top5: 0.9333 prec@top5: 0.4900 loss_action_cls: 0.0370 2022/12/03 21:08:16 - mmengine - INFO - Epoch(train) [8][ 540/4451] lr: 2.8692e-02 eta: 1:08:25 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.1912 loss: 0.0433 recall@thr=0.5: 0.4561 prec@thr=0.5: 0.7281 recall@top3: 0.7281 prec@top3: 0.6140 recall@top5: 0.8684 prec@top5: 0.4526 loss_action_cls: 0.0433 2022/12/03 21:08:23 - mmengine - INFO - Epoch(train) [8][ 560/4451] lr: 2.8612e-02 eta: 1:08:19 time: 0.3204 data_time: 0.0113 memory: 8510 grad_norm: 0.1811 loss: 0.0392 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.8775 recall@top3: 0.8294 prec@top3: 0.6078 recall@top5: 0.9471 prec@top5: 0.4353 loss_action_cls: 0.0392 2022/12/03 21:08:29 - mmengine - INFO - Epoch(train) [8][ 580/4451] lr: 2.8532e-02 eta: 1:08:12 time: 0.3206 data_time: 0.0105 memory: 8510 grad_norm: 0.1888 loss: 0.0375 recall@thr=0.5: 0.9286 prec@thr=0.5: 0.9524 recall@top3: 0.9206 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5143 loss_action_cls: 0.0375 2022/12/03 21:08:36 - mmengine - INFO - Epoch(train) [8][ 600/4451] lr: 2.8452e-02 eta: 1:08:06 time: 0.3217 data_time: 0.0100 memory: 8510 grad_norm: 0.1870 loss: 0.0411 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.6316 recall@top3: 0.8947 prec@top3: 0.4912 recall@top5: 1.0000 prec@top5: 0.3474 loss_action_cls: 0.0411 2022/12/03 21:08:42 - mmengine - INFO - Epoch(train) [8][ 620/4451] lr: 2.8373e-02 eta: 1:07:59 time: 0.3199 data_time: 0.0108 memory: 8510 grad_norm: 0.1938 loss: 0.0338 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.6303 recall@top3: 0.8636 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.4182 loss_action_cls: 0.0338 2022/12/03 21:08:48 - mmengine - INFO - Epoch(train) [8][ 640/4451] lr: 2.8293e-02 eta: 1:07:53 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.1907 loss: 0.0379 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.6667 recall@top3: 0.7833 prec@top3: 0.6667 recall@top5: 0.8667 prec@top5: 0.4400 loss_action_cls: 0.0379 2022/12/03 21:08:55 - mmengine - INFO - Epoch(train) [8][ 660/4451] lr: 2.8214e-02 eta: 1:07:47 time: 0.3204 data_time: 0.0104 memory: 8510 grad_norm: 0.1924 loss: 0.0394 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8333 recall@top3: 0.9286 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4286 loss_action_cls: 0.0394 2022/12/03 21:09:01 - mmengine - INFO - Epoch(train) [8][ 680/4451] lr: 2.8134e-02 eta: 1:07:40 time: 0.3204 data_time: 0.0107 memory: 8510 grad_norm: 0.1849 loss: 0.0368 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7778 recall@top3: 0.8849 prec@top3: 0.7937 recall@top5: 0.9881 prec@top5: 0.5429 loss_action_cls: 0.0368 2022/12/03 21:09:08 - mmengine - INFO - Epoch(train) [8][ 700/4451] lr: 2.8055e-02 eta: 1:07:34 time: 0.3201 data_time: 0.0102 memory: 8510 grad_norm: 0.1819 loss: 0.0383 recall@thr=0.5: 0.7474 prec@thr=0.5: 0.7943 recall@top3: 0.7724 prec@top3: 0.6771 recall@top5: 0.9146 prec@top5: 0.5000 loss_action_cls: 0.0383 2022/12/03 21:09:14 - mmengine - INFO - Epoch(train) [8][ 720/4451] lr: 2.7976e-02 eta: 1:07:27 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1930 loss: 0.0430 recall@thr=0.5: 0.6315 prec@thr=0.5: 0.7315 recall@top3: 0.7414 prec@top3: 0.7407 recall@top5: 0.9568 prec@top5: 0.5852 loss_action_cls: 0.0430 2022/12/03 21:09:20 - mmengine - INFO - Epoch(train) [8][ 740/4451] lr: 2.7897e-02 eta: 1:07:21 time: 0.3218 data_time: 0.0101 memory: 8510 grad_norm: 0.1946 loss: 0.0425 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6000 recall@top3: 0.7917 prec@top3: 0.5667 recall@top5: 0.9167 prec@top5: 0.3800 loss_action_cls: 0.0425 2022/12/03 21:09:27 - mmengine - INFO - Epoch(train) [8][ 760/4451] lr: 2.7818e-02 eta: 1:07:15 time: 0.3208 data_time: 0.0103 memory: 8510 grad_norm: 0.1910 loss: 0.0401 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.8111 recall@top3: 0.7900 prec@top3: 0.6889 recall@top5: 0.8722 prec@top5: 0.4733 loss_action_cls: 0.0401 2022/12/03 21:09:33 - mmengine - INFO - Epoch(train) [8][ 780/4451] lr: 2.7739e-02 eta: 1:07:08 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1935 loss: 0.0419 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7596 recall@top3: 0.8158 prec@top3: 0.6316 recall@top5: 0.9518 prec@top5: 0.4737 loss_action_cls: 0.0419 2022/12/03 21:09:40 - mmengine - INFO - Epoch(train) [8][ 800/4451] lr: 2.7660e-02 eta: 1:07:02 time: 0.3199 data_time: 0.0099 memory: 8510 grad_norm: 0.1899 loss: 0.0382 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.7619 recall@top3: 0.7976 prec@top3: 0.6032 recall@top5: 0.9048 prec@top5: 0.4190 loss_action_cls: 0.0382 2022/12/03 21:09:46 - mmengine - INFO - Epoch(train) [8][ 820/4451] lr: 2.7581e-02 eta: 1:06:55 time: 0.3206 data_time: 0.0109 memory: 8510 grad_norm: 0.1895 loss: 0.0411 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.8111 recall@top3: 0.7933 prec@top3: 0.4889 recall@top5: 0.8400 prec@top5: 0.3200 loss_action_cls: 0.0411 2022/12/03 21:09:53 - mmengine - INFO - Epoch(train) [8][ 840/4451] lr: 2.7502e-02 eta: 1:06:49 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.1906 loss: 0.0377 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8725 recall@top3: 0.8922 prec@top3: 0.6275 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0377 2022/12/03 21:09:53 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:09:59 - mmengine - INFO - Epoch(train) [8][ 860/4451] lr: 2.7423e-02 eta: 1:06:43 time: 0.3199 data_time: 0.0104 memory: 8510 grad_norm: 0.1906 loss: 0.0401 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6674 recall@top3: 0.7118 prec@top3: 0.6111 recall@top5: 0.8264 prec@top5: 0.4417 loss_action_cls: 0.0401 2022/12/03 21:10:05 - mmengine - INFO - Epoch(train) [8][ 880/4451] lr: 2.7345e-02 eta: 1:06:36 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.1944 loss: 0.0379 recall@thr=0.5: 0.8079 prec@thr=0.5: 0.8333 recall@top3: 0.8206 prec@top3: 0.6508 recall@top5: 0.8889 prec@top5: 0.4476 loss_action_cls: 0.0379 2022/12/03 21:10:12 - mmengine - INFO - Epoch(train) [8][ 900/4451] lr: 2.7266e-02 eta: 1:06:30 time: 0.3191 data_time: 0.0114 memory: 8510 grad_norm: 0.1846 loss: 0.0424 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.9474 recall@top3: 0.8816 prec@top3: 0.7719 recall@top5: 0.9342 prec@top5: 0.4947 loss_action_cls: 0.0424 2022/12/03 21:10:18 - mmengine - INFO - Epoch(train) [8][ 920/4451] lr: 2.7187e-02 eta: 1:06:23 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1956 loss: 0.0377 recall@thr=0.5: 0.3651 prec@thr=0.5: 0.5000 recall@top3: 0.7222 prec@top3: 0.4444 recall@top5: 0.7937 prec@top5: 0.3048 loss_action_cls: 0.0377 2022/12/03 21:10:25 - mmengine - INFO - Epoch(train) [8][ 940/4451] lr: 2.7109e-02 eta: 1:06:17 time: 0.3223 data_time: 0.0101 memory: 8510 grad_norm: 0.1937 loss: 0.0422 recall@thr=0.5: 0.6693 prec@thr=0.5: 0.6579 recall@top3: 0.7114 prec@top3: 0.5263 recall@top5: 0.8947 prec@top5: 0.4316 loss_action_cls: 0.0422 2022/12/03 21:10:31 - mmengine - INFO - Epoch(train) [8][ 960/4451] lr: 2.7030e-02 eta: 1:06:10 time: 0.3198 data_time: 0.0106 memory: 8510 grad_norm: 0.1886 loss: 0.0354 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7963 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0354 2022/12/03 21:10:37 - mmengine - INFO - Epoch(train) [8][ 980/4451] lr: 2.6952e-02 eta: 1:06:04 time: 0.3189 data_time: 0.0098 memory: 8510 grad_norm: 0.1845 loss: 0.0396 recall@thr=0.5: 0.5246 prec@thr=0.5: 0.6159 recall@top3: 0.7399 prec@top3: 0.5942 recall@top5: 0.8406 prec@top5: 0.4261 loss_action_cls: 0.0396 2022/12/03 21:10:44 - mmengine - INFO - Epoch(train) [8][1000/4451] lr: 2.6874e-02 eta: 1:05:58 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1876 loss: 0.0396 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.8718 recall@top3: 0.8436 prec@top3: 0.7821 recall@top5: 0.9423 prec@top5: 0.5462 loss_action_cls: 0.0396 2022/12/03 21:10:50 - mmengine - INFO - Epoch(train) [8][1020/4451] lr: 2.6796e-02 eta: 1:05:51 time: 0.3197 data_time: 0.0111 memory: 8510 grad_norm: 0.1917 loss: 0.0344 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6458 recall@top3: 0.8021 prec@top3: 0.6389 recall@top5: 0.9653 prec@top5: 0.4667 loss_action_cls: 0.0344 2022/12/03 21:10:57 - mmengine - INFO - Epoch(train) [8][1040/4451] lr: 2.6718e-02 eta: 1:05:45 time: 0.3197 data_time: 0.0100 memory: 8510 grad_norm: 0.1993 loss: 0.0382 recall@thr=0.5: 0.4615 prec@thr=0.5: 0.5000 recall@top3: 0.7051 prec@top3: 0.4615 recall@top5: 0.8846 prec@top5: 0.3538 loss_action_cls: 0.0382 2022/12/03 21:11:03 - mmengine - INFO - Epoch(train) [8][1060/4451] lr: 2.6640e-02 eta: 1:05:38 time: 0.3195 data_time: 0.0108 memory: 8510 grad_norm: 0.1947 loss: 0.0391 recall@thr=0.5: 0.7385 prec@thr=0.5: 0.8649 recall@top3: 0.8649 prec@top3: 0.7241 recall@top5: 0.9626 prec@top5: 0.4966 loss_action_cls: 0.0391 2022/12/03 21:11:09 - mmengine - INFO - Epoch(train) [8][1080/4451] lr: 2.6562e-02 eta: 1:05:32 time: 0.3202 data_time: 0.0097 memory: 8510 grad_norm: 0.1925 loss: 0.0402 recall@thr=0.5: 0.8565 prec@thr=0.5: 0.8148 recall@top3: 0.8981 prec@top3: 0.5926 recall@top5: 0.9861 prec@top5: 0.4111 loss_action_cls: 0.0402 2022/12/03 21:11:16 - mmengine - INFO - Epoch(train) [8][1100/4451] lr: 2.6484e-02 eta: 1:05:26 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1943 loss: 0.0349 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.7576 recall@top3: 0.7500 prec@top3: 0.5455 recall@top5: 0.9205 prec@top5: 0.4182 loss_action_cls: 0.0349 2022/12/03 21:11:22 - mmengine - INFO - Epoch(train) [8][1120/4451] lr: 2.6406e-02 eta: 1:05:19 time: 0.3204 data_time: 0.0124 memory: 8510 grad_norm: 0.1982 loss: 0.0373 recall@thr=0.5: 0.7468 prec@thr=0.5: 0.8135 recall@top3: 0.7841 prec@top3: 0.7143 recall@top5: 0.9397 prec@top5: 0.5238 loss_action_cls: 0.0373 2022/12/03 21:11:29 - mmengine - INFO - Epoch(train) [8][1140/4451] lr: 2.6328e-02 eta: 1:05:13 time: 0.3200 data_time: 0.0099 memory: 8510 grad_norm: 0.1956 loss: 0.0386 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7875 recall@top3: 0.8125 prec@top3: 0.6833 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0386 2022/12/03 21:11:35 - mmengine - INFO - Epoch(train) [8][1160/4451] lr: 2.6250e-02 eta: 1:05:06 time: 0.3202 data_time: 0.0105 memory: 8510 grad_norm: 0.1894 loss: 0.0373 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8333 recall@top3: 0.9167 prec@top3: 0.6481 recall@top5: 0.9537 prec@top5: 0.4111 loss_action_cls: 0.0373 2022/12/03 21:11:41 - mmengine - INFO - Epoch(train) [8][1180/4451] lr: 2.6173e-02 eta: 1:05:00 time: 0.3212 data_time: 0.0105 memory: 8510 grad_norm: 0.1840 loss: 0.0440 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.6667 recall@top3: 0.9375 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.3875 loss_action_cls: 0.0440 2022/12/03 21:11:48 - mmengine - INFO - Epoch(train) [8][1200/4451] lr: 2.6095e-02 eta: 1:04:54 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1935 loss: 0.0372 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.6930 recall@top3: 0.7895 prec@top3: 0.5439 recall@top5: 0.9123 prec@top5: 0.3684 loss_action_cls: 0.0372 2022/12/03 21:11:54 - mmengine - INFO - Epoch(train) [8][1220/4451] lr: 2.6018e-02 eta: 1:04:47 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.1905 loss: 0.0371 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.5937 recall@top3: 0.7292 prec@top3: 0.4375 recall@top5: 0.7292 prec@top5: 0.2625 loss_action_cls: 0.0371 2022/12/03 21:12:01 - mmengine - INFO - Epoch(train) [8][1240/4451] lr: 2.5940e-02 eta: 1:04:41 time: 0.3202 data_time: 0.0104 memory: 8510 grad_norm: 0.1923 loss: 0.0448 recall@thr=0.5: 0.3728 prec@thr=0.5: 0.5175 recall@top3: 0.6404 prec@top3: 0.4211 recall@top5: 0.8026 prec@top5: 0.3368 loss_action_cls: 0.0448 2022/12/03 21:12:07 - mmengine - INFO - Epoch(train) [8][1260/4451] lr: 2.5863e-02 eta: 1:04:34 time: 0.3213 data_time: 0.0104 memory: 8510 grad_norm: 0.1905 loss: 0.0420 recall@thr=0.5: 0.7305 prec@thr=0.5: 0.7786 recall@top3: 0.8267 prec@top3: 0.7524 recall@top5: 0.9524 prec@top5: 0.5200 loss_action_cls: 0.0420 2022/12/03 21:12:14 - mmengine - INFO - Epoch(train) [8][1280/4451] lr: 2.5786e-02 eta: 1:04:28 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.1931 loss: 0.0399 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6912 recall@top3: 0.7941 prec@top3: 0.6471 recall@top5: 0.8627 prec@top5: 0.4235 loss_action_cls: 0.0399 2022/12/03 21:12:20 - mmengine - INFO - Epoch(train) [8][1300/4451] lr: 2.5709e-02 eta: 1:04:22 time: 0.3206 data_time: 0.0111 memory: 8510 grad_norm: 0.1845 loss: 0.0402 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7778 recall@top3: 0.8056 prec@top3: 0.5370 recall@top5: 0.9444 prec@top5: 0.3667 loss_action_cls: 0.0402 2022/12/03 21:12:26 - mmengine - INFO - Epoch(train) [8][1320/4451] lr: 2.5632e-02 eta: 1:04:15 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.1908 loss: 0.0364 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.8039 recall@top3: 0.8137 prec@top3: 0.5490 recall@top5: 0.8873 prec@top5: 0.3529 loss_action_cls: 0.0364 2022/12/03 21:12:33 - mmengine - INFO - Epoch(train) [8][1340/4451] lr: 2.5555e-02 eta: 1:04:09 time: 0.3208 data_time: 0.0102 memory: 8510 grad_norm: 0.1903 loss: 0.0451 recall@thr=0.5: 0.6029 prec@thr=0.5: 0.6961 recall@top3: 0.7167 prec@top3: 0.7255 recall@top5: 0.9196 prec@top5: 0.5765 loss_action_cls: 0.0451 2022/12/03 21:12:39 - mmengine - INFO - Epoch(train) [8][1360/4451] lr: 2.5478e-02 eta: 1:04:02 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1909 loss: 0.0424 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7722 recall@top3: 0.6800 prec@top3: 0.6222 recall@top5: 0.8800 prec@top5: 0.5333 loss_action_cls: 0.0424 2022/12/03 21:12:46 - mmengine - INFO - Epoch(train) [8][1380/4451] lr: 2.5401e-02 eta: 1:03:56 time: 0.3204 data_time: 0.0102 memory: 8510 grad_norm: 0.1815 loss: 0.0362 recall@thr=0.5: 0.7284 prec@thr=0.5: 0.7649 recall@top3: 0.8410 prec@top3: 0.6126 recall@top5: 0.9383 prec@top5: 0.4432 loss_action_cls: 0.0362 2022/12/03 21:12:52 - mmengine - INFO - Epoch(train) [8][1400/4451] lr: 2.5324e-02 eta: 1:03:50 time: 0.3217 data_time: 0.0117 memory: 8510 grad_norm: 0.1945 loss: 0.0391 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7460 recall@top3: 0.7540 prec@top3: 0.5873 recall@top5: 0.8889 prec@top5: 0.4286 loss_action_cls: 0.0391 2022/12/03 21:12:58 - mmengine - INFO - Epoch(train) [8][1420/4451] lr: 2.5247e-02 eta: 1:03:43 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1918 loss: 0.0370 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.7273 recall@top3: 0.8750 prec@top3: 0.6970 recall@top5: 0.9356 prec@top5: 0.4545 loss_action_cls: 0.0370 2022/12/03 21:13:05 - mmengine - INFO - Epoch(train) [8][1440/4451] lr: 2.5171e-02 eta: 1:03:37 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1897 loss: 0.0439 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.6218 recall@top3: 0.8077 prec@top3: 0.5897 recall@top5: 0.8462 prec@top5: 0.3692 loss_action_cls: 0.0439 2022/12/03 21:13:11 - mmengine - INFO - Epoch(train) [8][1460/4451] lr: 2.5094e-02 eta: 1:03:30 time: 0.3210 data_time: 0.0107 memory: 8510 grad_norm: 0.1830 loss: 0.0367 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.7500 recall@top3: 0.8125 prec@top3: 0.6167 recall@top5: 0.9167 prec@top5: 0.4300 loss_action_cls: 0.0367 2022/12/03 21:13:18 - mmengine - INFO - Epoch(train) [8][1480/4451] lr: 2.5018e-02 eta: 1:03:24 time: 0.3203 data_time: 0.0114 memory: 8510 grad_norm: 0.2005 loss: 0.0392 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8235 recall@top3: 0.8922 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0392 2022/12/03 21:13:24 - mmengine - INFO - Epoch(train) [8][1500/4451] lr: 2.4941e-02 eta: 1:03:17 time: 0.3201 data_time: 0.0098 memory: 8510 grad_norm: 0.1967 loss: 0.0425 recall@thr=0.5: 0.5921 prec@thr=0.5: 0.5614 recall@top3: 0.7500 prec@top3: 0.4912 recall@top5: 0.9474 prec@top5: 0.3789 loss_action_cls: 0.0425 2022/12/03 21:13:31 - mmengine - INFO - Epoch(train) [8][1520/4451] lr: 2.4865e-02 eta: 1:03:11 time: 0.3208 data_time: 0.0103 memory: 8510 grad_norm: 0.2012 loss: 0.0389 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7431 recall@top3: 0.7222 prec@top3: 0.6389 recall@top5: 0.8924 prec@top5: 0.4917 loss_action_cls: 0.0389 2022/12/03 21:13:37 - mmengine - INFO - Epoch(train) [8][1540/4451] lr: 2.4789e-02 eta: 1:03:05 time: 0.3221 data_time: 0.0120 memory: 8510 grad_norm: 0.1974 loss: 0.0407 recall@thr=0.5: 0.6208 prec@thr=0.5: 0.5750 recall@top3: 0.7375 prec@top3: 0.5167 recall@top5: 0.8833 prec@top5: 0.3900 loss_action_cls: 0.0407 2022/12/03 21:13:43 - mmengine - INFO - Epoch(train) [8][1560/4451] lr: 2.4713e-02 eta: 1:02:58 time: 0.3197 data_time: 0.0104 memory: 8510 grad_norm: 0.1871 loss: 0.0326 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.7179 recall@top3: 0.8141 prec@top3: 0.5641 recall@top5: 1.0000 prec@top5: 0.4154 loss_action_cls: 0.0326 2022/12/03 21:13:50 - mmengine - INFO - Epoch(train) [8][1580/4451] lr: 2.4637e-02 eta: 1:02:52 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1950 loss: 0.0334 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7738 recall@top3: 0.8988 prec@top3: 0.7857 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0334 2022/12/03 21:13:56 - mmengine - INFO - Epoch(train) [8][1600/4451] lr: 2.4561e-02 eta: 1:02:45 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1945 loss: 0.0414 recall@thr=0.5: 0.7594 prec@thr=0.5: 0.7778 recall@top3: 0.7678 prec@top3: 0.7889 recall@top5: 0.9056 prec@top5: 0.5800 loss_action_cls: 0.0414 2022/12/03 21:14:03 - mmengine - INFO - Epoch(train) [8][1620/4451] lr: 2.4485e-02 eta: 1:02:39 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1928 loss: 0.0404 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7778 recall@top3: 0.8102 prec@top3: 0.7222 recall@top5: 0.9259 prec@top5: 0.5000 loss_action_cls: 0.0404 2022/12/03 21:14:09 - mmengine - INFO - Epoch(train) [8][1640/4451] lr: 2.4409e-02 eta: 1:02:33 time: 0.3204 data_time: 0.0106 memory: 8510 grad_norm: 0.1838 loss: 0.0386 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.7960 recall@top3: 0.7891 prec@top3: 0.6437 recall@top5: 0.8971 prec@top5: 0.4690 loss_action_cls: 0.0386 2022/12/03 21:14:15 - mmengine - INFO - Epoch(train) [8][1660/4451] lr: 2.4333e-02 eta: 1:02:26 time: 0.3206 data_time: 0.0102 memory: 8510 grad_norm: 0.2048 loss: 0.0379 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8929 recall@top3: 0.7619 prec@top3: 0.5000 recall@top5: 0.8810 prec@top5: 0.3571 loss_action_cls: 0.0379 2022/12/03 21:14:22 - mmengine - INFO - Epoch(train) [8][1680/4451] lr: 2.4258e-02 eta: 1:02:20 time: 0.3204 data_time: 0.0097 memory: 8510 grad_norm: 0.1937 loss: 0.0411 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.5833 recall@top3: 0.8485 prec@top3: 0.5606 recall@top5: 0.9545 prec@top5: 0.3636 loss_action_cls: 0.0411 2022/12/03 21:14:28 - mmengine - INFO - Epoch(train) [8][1700/4451] lr: 2.4182e-02 eta: 1:02:13 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.1944 loss: 0.0399 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.7436 recall@top3: 0.8237 prec@top3: 0.5513 recall@top5: 0.9615 prec@top5: 0.3846 loss_action_cls: 0.0399 2022/12/03 21:14:35 - mmengine - INFO - Epoch(train) [8][1720/4451] lr: 2.4106e-02 eta: 1:02:07 time: 0.3210 data_time: 0.0104 memory: 8510 grad_norm: 0.1875 loss: 0.0374 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7719 recall@top3: 0.8860 prec@top3: 0.5965 recall@top5: 0.9123 prec@top5: 0.3684 loss_action_cls: 0.0374 2022/12/03 21:14:41 - mmengine - INFO - Epoch(train) [8][1740/4451] lr: 2.4031e-02 eta: 1:02:01 time: 0.3200 data_time: 0.0097 memory: 8510 grad_norm: 0.1912 loss: 0.0420 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.9474 recall@top3: 0.8772 prec@top3: 0.7895 recall@top5: 0.9825 prec@top5: 0.5579 loss_action_cls: 0.0420 2022/12/03 21:14:47 - mmengine - INFO - Epoch(train) [8][1760/4451] lr: 2.3956e-02 eta: 1:01:54 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1876 loss: 0.0401 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.6597 recall@top3: 0.7292 prec@top3: 0.5278 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0401 2022/12/03 21:14:54 - mmengine - INFO - Epoch(train) [8][1780/4451] lr: 2.3880e-02 eta: 1:01:48 time: 0.3202 data_time: 0.0104 memory: 8510 grad_norm: 0.1923 loss: 0.0413 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.5333 recall@top3: 0.7222 prec@top3: 0.4667 recall@top5: 0.8278 prec@top5: 0.3333 loss_action_cls: 0.0413 2022/12/03 21:15:00 - mmengine - INFO - Epoch(train) [8][1800/4451] lr: 2.3805e-02 eta: 1:01:41 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1956 loss: 0.0405 recall@thr=0.5: 0.4423 prec@thr=0.5: 0.6026 recall@top3: 0.7500 prec@top3: 0.6154 recall@top5: 0.8526 prec@top5: 0.4231 loss_action_cls: 0.0405 2022/12/03 21:15:07 - mmengine - INFO - Epoch(train) [8][1820/4451] lr: 2.3730e-02 eta: 1:01:35 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1938 loss: 0.0384 recall@thr=0.5: 0.7689 prec@thr=0.5: 0.8561 recall@top3: 0.8295 prec@top3: 0.7121 recall@top5: 0.8598 prec@top5: 0.4455 loss_action_cls: 0.0384 2022/12/03 21:15:13 - mmengine - INFO - Epoch(train) [8][1840/4451] lr: 2.3655e-02 eta: 1:01:29 time: 0.3212 data_time: 0.0099 memory: 8510 grad_norm: 0.1831 loss: 0.0345 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.8111 recall@top3: 0.7611 prec@top3: 0.6222 recall@top5: 0.8889 prec@top5: 0.4533 loss_action_cls: 0.0345 2022/12/03 21:15:14 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:15:20 - mmengine - INFO - Epoch(train) [8][1860/4451] lr: 2.3580e-02 eta: 1:01:22 time: 0.3204 data_time: 0.0107 memory: 8510 grad_norm: 0.1900 loss: 0.0422 recall@thr=0.5: 0.6014 prec@thr=0.5: 0.7609 recall@top3: 0.7754 prec@top3: 0.6087 recall@top5: 0.8986 prec@top5: 0.4435 loss_action_cls: 0.0422 2022/12/03 21:15:26 - mmengine - INFO - Epoch(train) [8][1880/4451] lr: 2.3505e-02 eta: 1:01:16 time: 0.3200 data_time: 0.0116 memory: 8510 grad_norm: 0.1876 loss: 0.0422 recall@thr=0.5: 0.6954 prec@thr=0.5: 0.6782 recall@top3: 0.8851 prec@top3: 0.6322 recall@top5: 0.9655 prec@top5: 0.4207 loss_action_cls: 0.0422 2022/12/03 21:15:32 - mmengine - INFO - Epoch(train) [8][1900/4451] lr: 2.3430e-02 eta: 1:01:09 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1967 loss: 0.0442 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7308 recall@top3: 0.7692 prec@top3: 0.5128 recall@top5: 0.7949 prec@top5: 0.3231 loss_action_cls: 0.0442 2022/12/03 21:15:39 - mmengine - INFO - Epoch(train) [8][1920/4451] lr: 2.3356e-02 eta: 1:01:03 time: 0.3197 data_time: 0.0098 memory: 8510 grad_norm: 0.1899 loss: 0.0377 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8413 recall@top3: 0.8254 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4571 loss_action_cls: 0.0377 2022/12/03 21:15:45 - mmengine - INFO - Epoch(train) [8][1940/4451] lr: 2.3281e-02 eta: 1:00:56 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.2004 loss: 0.0350 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7560 recall@top3: 0.8571 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0350 2022/12/03 21:15:52 - mmengine - INFO - Epoch(train) [8][1960/4451] lr: 2.3207e-02 eta: 1:00:50 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1905 loss: 0.0380 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7222 recall@top3: 0.9000 prec@top3: 0.4667 recall@top5: 0.9333 prec@top5: 0.2933 loss_action_cls: 0.0380 2022/12/03 21:15:58 - mmengine - INFO - Epoch(train) [8][1980/4451] lr: 2.3132e-02 eta: 1:00:44 time: 0.3203 data_time: 0.0106 memory: 8510 grad_norm: 0.1925 loss: 0.0386 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6296 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.4556 loss_action_cls: 0.0386 2022/12/03 21:16:04 - mmengine - INFO - Epoch(train) [8][2000/4451] lr: 2.3058e-02 eta: 1:00:37 time: 0.3200 data_time: 0.0103 memory: 8510 grad_norm: 0.1917 loss: 0.0345 recall@thr=0.5: 0.5913 prec@thr=0.5: 0.5794 recall@top3: 0.7976 prec@top3: 0.5873 recall@top5: 0.8770 prec@top5: 0.4000 loss_action_cls: 0.0345 2022/12/03 21:16:11 - mmengine - INFO - Epoch(train) [8][2020/4451] lr: 2.2983e-02 eta: 1:00:31 time: 0.3205 data_time: 0.0097 memory: 8510 grad_norm: 0.2005 loss: 0.0388 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.5789 recall@top3: 0.8333 prec@top3: 0.5088 recall@top5: 0.8991 prec@top5: 0.3368 loss_action_cls: 0.0388 2022/12/03 21:16:17 - mmengine - INFO - Epoch(train) [8][2040/4451] lr: 2.2909e-02 eta: 1:00:24 time: 0.3201 data_time: 0.0105 memory: 8510 grad_norm: 0.1867 loss: 0.0395 recall@thr=0.5: 0.6840 prec@thr=0.5: 0.8090 recall@top3: 0.7604 prec@top3: 0.7083 recall@top5: 0.9618 prec@top5: 0.5333 loss_action_cls: 0.0395 2022/12/03 21:16:24 - mmengine - INFO - Epoch(train) [8][2060/4451] lr: 2.2835e-02 eta: 1:00:18 time: 0.3196 data_time: 0.0113 memory: 8510 grad_norm: 0.1890 loss: 0.0351 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.7941 recall@top3: 0.9559 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0351 2022/12/03 21:16:30 - mmengine - INFO - Epoch(train) [8][2080/4451] lr: 2.2761e-02 eta: 1:00:12 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1885 loss: 0.0387 recall@thr=0.5: 0.6678 prec@thr=0.5: 0.7644 recall@top3: 0.7805 prec@top3: 0.7356 recall@top5: 0.9914 prec@top5: 0.5793 loss_action_cls: 0.0387 2022/12/03 21:16:36 - mmengine - INFO - Epoch(train) [8][2100/4451] lr: 2.2687e-02 eta: 1:00:05 time: 0.3201 data_time: 0.0115 memory: 8510 grad_norm: 0.1959 loss: 0.0392 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.7727 recall@top3: 0.7500 prec@top3: 0.6061 recall@top5: 0.9432 prec@top5: 0.4818 loss_action_cls: 0.0392 2022/12/03 21:16:43 - mmengine - INFO - Epoch(train) [8][2120/4451] lr: 2.2613e-02 eta: 0:59:59 time: 0.3207 data_time: 0.0105 memory: 8510 grad_norm: 0.1849 loss: 0.0396 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.6912 recall@top3: 0.7549 prec@top3: 0.5686 recall@top5: 0.9265 prec@top5: 0.4353 loss_action_cls: 0.0396 2022/12/03 21:16:49 - mmengine - INFO - Epoch(train) [8][2140/4451] lr: 2.2540e-02 eta: 0:59:52 time: 0.3204 data_time: 0.0107 memory: 8510 grad_norm: 0.1897 loss: 0.0388 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8235 recall@top3: 0.8284 prec@top3: 0.6471 recall@top5: 0.9412 prec@top5: 0.4588 loss_action_cls: 0.0388 2022/12/03 21:16:56 - mmengine - INFO - Epoch(train) [8][2160/4451] lr: 2.2466e-02 eta: 0:59:46 time: 0.3213 data_time: 0.0100 memory: 8510 grad_norm: 0.1891 loss: 0.0355 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.7826 recall@top3: 0.8478 prec@top3: 0.7826 recall@top5: 0.9601 prec@top5: 0.5217 loss_action_cls: 0.0355 2022/12/03 21:17:02 - mmengine - INFO - Epoch(train) [8][2180/4451] lr: 2.2392e-02 eta: 0:59:40 time: 0.3224 data_time: 0.0104 memory: 8510 grad_norm: 0.1871 loss: 0.0388 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6500 recall@top3: 0.6875 prec@top3: 0.5667 recall@top5: 0.8250 prec@top5: 0.4300 loss_action_cls: 0.0388 2022/12/03 21:17:09 - mmengine - INFO - Epoch(train) [8][2200/4451] lr: 2.2319e-02 eta: 0:59:33 time: 0.3216 data_time: 0.0100 memory: 8510 grad_norm: 0.1953 loss: 0.0407 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.7807 recall@top3: 0.8114 prec@top3: 0.7018 recall@top5: 0.9825 prec@top5: 0.5158 loss_action_cls: 0.0407 2022/12/03 21:17:15 - mmengine - INFO - Epoch(train) [8][2220/4451] lr: 2.2245e-02 eta: 0:59:27 time: 0.3199 data_time: 0.0101 memory: 8510 grad_norm: 0.1868 loss: 0.0380 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8833 recall@top3: 0.9000 prec@top3: 0.5667 recall@top5: 0.9750 prec@top5: 0.3900 loss_action_cls: 0.0380 2022/12/03 21:17:21 - mmengine - INFO - Epoch(train) [8][2240/4451] lr: 2.2172e-02 eta: 0:59:20 time: 0.3219 data_time: 0.0103 memory: 8510 grad_norm: 0.1952 loss: 0.0337 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7778 recall@top3: 0.7889 prec@top3: 0.6444 recall@top5: 0.8222 prec@top5: 0.4133 loss_action_cls: 0.0337 2022/12/03 21:17:28 - mmengine - INFO - Epoch(train) [8][2260/4451] lr: 2.2099e-02 eta: 0:59:14 time: 0.3216 data_time: 0.0099 memory: 8510 grad_norm: 0.1970 loss: 0.0387 recall@thr=0.5: 0.8509 prec@thr=0.5: 0.9693 recall@top3: 0.8947 prec@top3: 0.8772 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0387 2022/12/03 21:17:34 - mmengine - INFO - Epoch(train) [8][2280/4451] lr: 2.2026e-02 eta: 0:59:08 time: 0.3202 data_time: 0.0103 memory: 8510 grad_norm: 0.1866 loss: 0.0397 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.7326 recall@top3: 0.7917 prec@top3: 0.5139 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0397 2022/12/03 21:17:41 - mmengine - INFO - Epoch(train) [8][2300/4451] lr: 2.1952e-02 eta: 0:59:01 time: 0.3220 data_time: 0.0101 memory: 8510 grad_norm: 0.1843 loss: 0.0369 recall@thr=0.5: 0.7736 prec@thr=0.5: 0.8305 recall@top3: 0.8057 prec@top3: 0.7471 recall@top5: 0.9425 prec@top5: 0.5379 loss_action_cls: 0.0369 2022/12/03 21:17:47 - mmengine - INFO - Epoch(train) [8][2320/4451] lr: 2.1879e-02 eta: 0:58:55 time: 0.3209 data_time: 0.0101 memory: 8510 grad_norm: 0.1910 loss: 0.0335 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8258 recall@top3: 0.9545 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0335 2022/12/03 21:17:53 - mmengine - INFO - Epoch(train) [8][2340/4451] lr: 2.1807e-02 eta: 0:58:48 time: 0.3203 data_time: 0.0098 memory: 8510 grad_norm: 0.1985 loss: 0.0418 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7262 recall@top3: 0.7262 prec@top3: 0.5119 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0418 2022/12/03 21:18:00 - mmengine - INFO - Epoch(train) [8][2360/4451] lr: 2.1734e-02 eta: 0:58:42 time: 0.3200 data_time: 0.0104 memory: 8510 grad_norm: 0.1923 loss: 0.0330 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7500 recall@top3: 0.8958 prec@top3: 0.5417 recall@top5: 0.8958 prec@top5: 0.3250 loss_action_cls: 0.0330 2022/12/03 21:18:06 - mmengine - INFO - Epoch(train) [8][2380/4451] lr: 2.1661e-02 eta: 0:58:36 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1955 loss: 0.0420 recall@thr=0.5: 0.6632 prec@thr=0.5: 0.7895 recall@top3: 0.7263 prec@top3: 0.6667 recall@top5: 0.8860 prec@top5: 0.5158 loss_action_cls: 0.0420 2022/12/03 21:18:13 - mmengine - INFO - Epoch(train) [8][2400/4451] lr: 2.1588e-02 eta: 0:58:29 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.2033 loss: 0.0361 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.8696 recall@top3: 0.7935 prec@top3: 0.6522 recall@top5: 0.8080 prec@top5: 0.4000 loss_action_cls: 0.0361 2022/12/03 21:18:19 - mmengine - INFO - Epoch(train) [8][2420/4451] lr: 2.1516e-02 eta: 0:58:23 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1924 loss: 0.0386 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3667 loss_action_cls: 0.0386 2022/12/03 21:18:26 - mmengine - INFO - Epoch(train) [8][2440/4451] lr: 2.1443e-02 eta: 0:58:16 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1904 loss: 0.0372 recall@thr=0.5: 0.6815 prec@thr=0.5: 0.8750 recall@top3: 0.8083 prec@top3: 0.7619 recall@top5: 0.9440 prec@top5: 0.5643 loss_action_cls: 0.0372 2022/12/03 21:18:32 - mmengine - INFO - Epoch(train) [8][2460/4451] lr: 2.1371e-02 eta: 0:58:10 time: 0.3216 data_time: 0.0103 memory: 8510 grad_norm: 0.1885 loss: 0.0418 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.8083 recall@top3: 0.8125 prec@top3: 0.6500 recall@top5: 0.9417 prec@top5: 0.4300 loss_action_cls: 0.0418 2022/12/03 21:18:38 - mmengine - INFO - Epoch(train) [8][2480/4451] lr: 2.1299e-02 eta: 0:58:04 time: 0.3194 data_time: 0.0100 memory: 8510 grad_norm: 0.1968 loss: 0.0383 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7593 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9352 prec@top5: 0.3889 loss_action_cls: 0.0383 2022/12/03 21:18:45 - mmengine - INFO - Epoch(train) [8][2500/4451] lr: 2.1226e-02 eta: 0:57:57 time: 0.3212 data_time: 0.0108 memory: 8510 grad_norm: 0.1961 loss: 0.0393 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6667 recall@top3: 0.8583 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0393 2022/12/03 21:18:51 - mmengine - INFO - Epoch(train) [8][2520/4451] lr: 2.1154e-02 eta: 0:57:51 time: 0.3214 data_time: 0.0102 memory: 8510 grad_norm: 0.1937 loss: 0.0378 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7353 recall@top3: 0.7941 prec@top3: 0.5490 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0378 2022/12/03 21:18:58 - mmengine - INFO - Epoch(train) [8][2540/4451] lr: 2.1082e-02 eta: 0:57:44 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1995 loss: 0.0391 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5238 recall@top3: 0.7421 prec@top3: 0.4444 recall@top5: 0.8968 prec@top5: 0.3333 loss_action_cls: 0.0391 2022/12/03 21:19:04 - mmengine - INFO - Epoch(train) [8][2560/4451] lr: 2.1010e-02 eta: 0:57:38 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1909 loss: 0.0428 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.6316 recall@top3: 0.8421 prec@top3: 0.6491 recall@top5: 0.9825 prec@top5: 0.4632 loss_action_cls: 0.0428 2022/12/03 21:19:11 - mmengine - INFO - Epoch(train) [8][2580/4451] lr: 2.0939e-02 eta: 0:57:31 time: 0.3223 data_time: 0.0099 memory: 8510 grad_norm: 0.1947 loss: 0.0405 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8264 recall@top3: 0.9514 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.4583 loss_action_cls: 0.0405 2022/12/03 21:19:17 - mmengine - INFO - Epoch(train) [8][2600/4451] lr: 2.0867e-02 eta: 0:57:25 time: 0.3228 data_time: 0.0102 memory: 8510 grad_norm: 0.1869 loss: 0.0416 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7533 recall@top3: 0.7067 prec@top3: 0.5600 recall@top5: 0.9200 prec@top5: 0.4400 loss_action_cls: 0.0416 2022/12/03 21:19:23 - mmengine - INFO - Epoch(train) [8][2620/4451] lr: 2.0795e-02 eta: 0:57:19 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1875 loss: 0.0372 recall@thr=0.5: 0.5977 prec@thr=0.5: 0.7414 recall@top3: 0.7385 prec@top3: 0.6207 recall@top5: 0.9425 prec@top5: 0.4966 loss_action_cls: 0.0372 2022/12/03 21:19:30 - mmengine - INFO - Epoch(train) [8][2640/4451] lr: 2.0724e-02 eta: 0:57:12 time: 0.3195 data_time: 0.0103 memory: 8510 grad_norm: 0.1890 loss: 0.0368 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6439 recall@top3: 0.8409 prec@top3: 0.5606 recall@top5: 0.9773 prec@top5: 0.3727 loss_action_cls: 0.0368 2022/12/03 21:19:36 - mmengine - INFO - Epoch(train) [8][2660/4451] lr: 2.0652e-02 eta: 0:57:06 time: 0.3217 data_time: 0.0104 memory: 8510 grad_norm: 0.1932 loss: 0.0335 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8333 recall@top3: 0.9167 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0335 2022/12/03 21:19:43 - mmengine - INFO - Epoch(train) [8][2680/4451] lr: 2.0581e-02 eta: 0:56:59 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.1990 loss: 0.0428 recall@thr=0.5: 0.7202 prec@thr=0.5: 0.7679 recall@top3: 0.7768 prec@top3: 0.6548 recall@top5: 0.8869 prec@top5: 0.4571 loss_action_cls: 0.0428 2022/12/03 21:19:49 - mmengine - INFO - Epoch(train) [8][2700/4451] lr: 2.0509e-02 eta: 0:56:53 time: 0.3219 data_time: 0.0100 memory: 8510 grad_norm: 0.1937 loss: 0.0422 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7353 recall@top3: 0.9216 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0422 2022/12/03 21:19:56 - mmengine - INFO - Epoch(train) [8][2720/4451] lr: 2.0438e-02 eta: 0:56:47 time: 0.3216 data_time: 0.0098 memory: 8510 grad_norm: 0.1928 loss: 0.0421 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.8750 recall@top3: 0.8698 prec@top3: 0.7292 recall@top5: 0.9010 prec@top5: 0.4625 loss_action_cls: 0.0421 2022/12/03 21:20:02 - mmengine - INFO - Epoch(train) [8][2740/4451] lr: 2.0367e-02 eta: 0:56:40 time: 0.3206 data_time: 0.0097 memory: 8510 grad_norm: 0.1911 loss: 0.0373 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.5526 recall@top3: 0.8158 prec@top3: 0.5614 recall@top5: 0.9649 prec@top5: 0.4316 loss_action_cls: 0.0373 2022/12/03 21:20:08 - mmengine - INFO - Epoch(train) [8][2760/4451] lr: 2.0296e-02 eta: 0:56:34 time: 0.3200 data_time: 0.0102 memory: 8510 grad_norm: 0.1907 loss: 0.0386 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6176 recall@top3: 0.8039 prec@top3: 0.6275 recall@top5: 0.9657 prec@top5: 0.4706 loss_action_cls: 0.0386 2022/12/03 21:20:15 - mmengine - INFO - Epoch(train) [8][2780/4451] lr: 2.0225e-02 eta: 0:56:27 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.1908 loss: 0.0418 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6984 recall@top3: 0.9048 prec@top3: 0.6667 recall@top5: 0.9841 prec@top5: 0.4476 loss_action_cls: 0.0418 2022/12/03 21:20:21 - mmengine - INFO - Epoch(train) [8][2800/4451] lr: 2.0154e-02 eta: 0:56:21 time: 0.3236 data_time: 0.0101 memory: 8510 grad_norm: 0.1927 loss: 0.0366 recall@thr=0.5: 0.8114 prec@thr=0.5: 0.8068 recall@top3: 0.8500 prec@top3: 0.7576 recall@top5: 0.9773 prec@top5: 0.5545 loss_action_cls: 0.0366 2022/12/03 21:20:28 - mmengine - INFO - Epoch(train) [8][2820/4451] lr: 2.0084e-02 eta: 0:56:15 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.1951 loss: 0.0411 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.6569 recall@top3: 0.7451 prec@top3: 0.6471 recall@top5: 0.8922 prec@top5: 0.4706 loss_action_cls: 0.0411 2022/12/03 21:20:34 - mmengine - INFO - Epoch(train) [8][2840/4451] lr: 2.0013e-02 eta: 0:56:08 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.1839 loss: 0.0357 recall@thr=0.5: 0.4470 prec@thr=0.5: 0.5303 recall@top3: 0.7045 prec@top3: 0.6061 recall@top5: 0.8561 prec@top5: 0.4636 loss_action_cls: 0.0357 2022/12/03 21:20:35 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:20:40 - mmengine - INFO - Epoch(train) [8][2860/4451] lr: 1.9942e-02 eta: 0:56:02 time: 0.3216 data_time: 0.0098 memory: 8510 grad_norm: 0.1913 loss: 0.0368 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6587 recall@top3: 0.7619 prec@top3: 0.4762 recall@top5: 0.9524 prec@top5: 0.3524 loss_action_cls: 0.0368 2022/12/03 21:20:47 - mmengine - INFO - Epoch(train) [8][2880/4451] lr: 1.9872e-02 eta: 0:55:55 time: 0.3205 data_time: 0.0104 memory: 8510 grad_norm: 0.1954 loss: 0.0405 recall@thr=0.5: 0.6986 prec@thr=0.5: 0.8986 recall@top3: 0.8486 prec@top3: 0.8551 recall@top5: 0.9420 prec@top5: 0.5826 loss_action_cls: 0.0405 2022/12/03 21:20:53 - mmengine - INFO - Epoch(train) [8][2900/4451] lr: 1.9802e-02 eta: 0:55:49 time: 0.3214 data_time: 0.0111 memory: 8510 grad_norm: 0.1925 loss: 0.0414 recall@thr=0.5: 0.5733 prec@thr=0.5: 0.6800 recall@top3: 0.8600 prec@top3: 0.5867 recall@top5: 0.9300 prec@top5: 0.3920 loss_action_cls: 0.0414 2022/12/03 21:21:00 - mmengine - INFO - Epoch(train) [8][2920/4451] lr: 1.9731e-02 eta: 0:55:43 time: 0.3208 data_time: 0.0105 memory: 8510 grad_norm: 0.1951 loss: 0.0381 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7917 recall@top3: 0.8182 prec@top3: 0.5909 recall@top5: 0.8902 prec@top5: 0.4000 loss_action_cls: 0.0381 2022/12/03 21:21:06 - mmengine - INFO - Epoch(train) [8][2940/4451] lr: 1.9661e-02 eta: 0:55:36 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.1976 loss: 0.0382 recall@thr=0.5: 0.7851 prec@thr=0.5: 0.8640 recall@top3: 0.8158 prec@top3: 0.6316 recall@top5: 0.9211 prec@top5: 0.4526 loss_action_cls: 0.0382 2022/12/03 21:21:13 - mmengine - INFO - Epoch(train) [8][2960/4451] lr: 1.9591e-02 eta: 0:55:30 time: 0.3218 data_time: 0.0103 memory: 8510 grad_norm: 0.1922 loss: 0.0394 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7353 recall@top3: 0.8529 prec@top3: 0.5686 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0394 2022/12/03 21:21:19 - mmengine - INFO - Epoch(train) [8][2980/4451] lr: 1.9521e-02 eta: 0:55:23 time: 0.3206 data_time: 0.0103 memory: 8510 grad_norm: 0.1860 loss: 0.0398 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.7464 recall@top3: 0.8007 prec@top3: 0.7246 recall@top5: 0.9710 prec@top5: 0.5130 loss_action_cls: 0.0398 2022/12/03 21:21:25 - mmengine - INFO - Epoch(train) [8][3000/4451] lr: 1.9451e-02 eta: 0:55:17 time: 0.3202 data_time: 0.0096 memory: 8510 grad_norm: 0.1978 loss: 0.0422 recall@thr=0.5: 0.6904 prec@thr=0.5: 0.8421 recall@top3: 0.8079 prec@top3: 0.6667 recall@top5: 0.9561 prec@top5: 0.5053 loss_action_cls: 0.0422 2022/12/03 21:21:32 - mmengine - INFO - Epoch(train) [8][3020/4451] lr: 1.9381e-02 eta: 0:55:11 time: 0.3210 data_time: 0.0103 memory: 8510 grad_norm: 0.1876 loss: 0.0371 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7949 recall@top3: 0.8397 prec@top3: 0.5769 recall@top5: 0.9103 prec@top5: 0.3846 loss_action_cls: 0.0371 2022/12/03 21:21:38 - mmengine - INFO - Epoch(train) [8][3040/4451] lr: 1.9312e-02 eta: 0:55:04 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1954 loss: 0.0389 recall@thr=0.5: 0.5846 prec@thr=0.5: 0.8141 recall@top3: 0.8000 prec@top3: 0.7051 recall@top5: 0.9192 prec@top5: 0.5077 loss_action_cls: 0.0389 2022/12/03 21:21:45 - mmengine - INFO - Epoch(train) [8][3060/4451] lr: 1.9242e-02 eta: 0:54:58 time: 0.3200 data_time: 0.0119 memory: 8510 grad_norm: 0.1941 loss: 0.0410 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.6923 recall@top3: 0.8077 prec@top3: 0.5385 recall@top5: 1.0000 prec@top5: 0.3769 loss_action_cls: 0.0410 2022/12/03 21:21:51 - mmengine - INFO - Epoch(train) [8][3080/4451] lr: 1.9173e-02 eta: 0:54:51 time: 0.3207 data_time: 0.0112 memory: 8510 grad_norm: 0.1890 loss: 0.0374 recall@thr=0.5: 0.5101 prec@thr=0.5: 0.6848 recall@top3: 0.6551 prec@top3: 0.5362 recall@top5: 0.8884 prec@top5: 0.4261 loss_action_cls: 0.0374 2022/12/03 21:21:58 - mmengine - INFO - Epoch(train) [8][3100/4451] lr: 1.9103e-02 eta: 0:54:45 time: 0.3217 data_time: 0.0111 memory: 8510 grad_norm: 0.1978 loss: 0.0369 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.7143 recall@top3: 0.7024 prec@top3: 0.5397 recall@top5: 0.9841 prec@top5: 0.4667 loss_action_cls: 0.0369 2022/12/03 21:22:04 - mmengine - INFO - Epoch(train) [8][3120/4451] lr: 1.9034e-02 eta: 0:54:39 time: 0.3219 data_time: 0.0123 memory: 8510 grad_norm: 0.1938 loss: 0.0387 recall@thr=0.5: 0.5269 prec@thr=0.5: 0.5323 recall@top3: 0.8226 prec@top3: 0.5269 recall@top5: 0.9032 prec@top5: 0.3355 loss_action_cls: 0.0387 2022/12/03 21:22:10 - mmengine - INFO - Epoch(train) [8][3140/4451] lr: 1.8965e-02 eta: 0:54:32 time: 0.3220 data_time: 0.0102 memory: 8510 grad_norm: 0.1962 loss: 0.0381 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8778 recall@top3: 0.9111 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0381 2022/12/03 21:22:17 - mmengine - INFO - Epoch(train) [8][3160/4451] lr: 1.8896e-02 eta: 0:54:26 time: 0.3216 data_time: 0.0125 memory: 8510 grad_norm: 0.2013 loss: 0.0370 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7302 recall@top3: 0.8413 prec@top3: 0.6190 recall@top5: 0.8889 prec@top5: 0.3905 loss_action_cls: 0.0370 2022/12/03 21:22:23 - mmengine - INFO - Epoch(train) [8][3180/4451] lr: 1.8826e-02 eta: 0:54:19 time: 0.3216 data_time: 0.0104 memory: 8510 grad_norm: 0.1892 loss: 0.0411 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.6667 recall@top3: 0.8214 prec@top3: 0.6349 recall@top5: 0.9405 prec@top5: 0.4667 loss_action_cls: 0.0411 2022/12/03 21:22:30 - mmengine - INFO - Epoch(train) [8][3200/4451] lr: 1.8758e-02 eta: 0:54:13 time: 0.3208 data_time: 0.0102 memory: 8510 grad_norm: 0.1933 loss: 0.0393 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8598 recall@top3: 0.8258 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0393 2022/12/03 21:22:36 - mmengine - INFO - Epoch(train) [8][3220/4451] lr: 1.8689e-02 eta: 0:54:07 time: 0.3197 data_time: 0.0111 memory: 8510 grad_norm: 0.1897 loss: 0.0435 recall@thr=0.5: 0.7524 prec@thr=0.5: 0.9365 recall@top3: 0.8000 prec@top3: 0.6349 recall@top5: 0.9492 prec@top5: 0.4762 loss_action_cls: 0.0435 2022/12/03 21:22:42 - mmengine - INFO - Epoch(train) [8][3240/4451] lr: 1.8620e-02 eta: 0:54:00 time: 0.3204 data_time: 0.0109 memory: 8510 grad_norm: 0.1913 loss: 0.0357 recall@thr=0.5: 0.6953 prec@thr=0.5: 0.7267 recall@top3: 0.8440 prec@top3: 0.6933 recall@top5: 0.9600 prec@top5: 0.4800 loss_action_cls: 0.0357 2022/12/03 21:22:49 - mmengine - INFO - Epoch(train) [8][3260/4451] lr: 1.8551e-02 eta: 0:53:54 time: 0.3216 data_time: 0.0102 memory: 8510 grad_norm: 0.1948 loss: 0.0391 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6048 recall@top3: 0.8532 prec@top3: 0.6825 recall@top5: 0.9881 prec@top5: 0.4762 loss_action_cls: 0.0391 2022/12/03 21:22:55 - mmengine - INFO - Epoch(train) [8][3280/4451] lr: 1.8483e-02 eta: 0:53:47 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.1932 loss: 0.0412 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7879 recall@top3: 0.7197 prec@top3: 0.6818 recall@top5: 0.9091 prec@top5: 0.5273 loss_action_cls: 0.0412 2022/12/03 21:23:02 - mmengine - INFO - Epoch(train) [8][3300/4451] lr: 1.8414e-02 eta: 0:53:41 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1923 loss: 0.0383 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7222 recall@top3: 0.7889 prec@top3: 0.5889 recall@top5: 1.0000 prec@top5: 0.4467 loss_action_cls: 0.0383 2022/12/03 21:23:08 - mmengine - INFO - Epoch(train) [8][3320/4451] lr: 1.8346e-02 eta: 0:53:35 time: 0.3209 data_time: 0.0112 memory: 8510 grad_norm: 0.1954 loss: 0.0380 recall@thr=0.5: 0.4897 prec@thr=0.5: 0.4808 recall@top3: 0.6628 prec@top3: 0.5513 recall@top5: 0.7872 prec@top5: 0.4000 loss_action_cls: 0.0380 2022/12/03 21:23:15 - mmengine - INFO - Epoch(train) [8][3340/4451] lr: 1.8278e-02 eta: 0:53:28 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.1934 loss: 0.0377 recall@thr=0.5: 0.7056 prec@thr=0.5: 0.8333 recall@top3: 0.9130 prec@top3: 0.7593 recall@top5: 0.9611 prec@top5: 0.4889 loss_action_cls: 0.0377 2022/12/03 21:23:21 - mmengine - INFO - Epoch(train) [8][3360/4451] lr: 1.8210e-02 eta: 0:53:22 time: 0.3206 data_time: 0.0097 memory: 8510 grad_norm: 0.1918 loss: 0.0359 recall@thr=0.5: 0.7904 prec@thr=0.5: 0.7788 recall@top3: 0.7987 prec@top3: 0.6410 recall@top5: 0.8545 prec@top5: 0.4231 loss_action_cls: 0.0359 2022/12/03 21:23:27 - mmengine - INFO - Epoch(train) [8][3380/4451] lr: 1.8142e-02 eta: 0:53:15 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.1899 loss: 0.0411 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8667 recall@top3: 1.0000 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.3867 loss_action_cls: 0.0411 2022/12/03 21:23:34 - mmengine - INFO - Epoch(train) [8][3400/4451] lr: 1.8074e-02 eta: 0:53:09 time: 0.3208 data_time: 0.0105 memory: 8510 grad_norm: 0.1949 loss: 0.0347 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.7105 recall@top3: 0.8772 prec@top3: 0.5965 recall@top5: 0.9035 prec@top5: 0.3684 loss_action_cls: 0.0347 2022/12/03 21:23:40 - mmengine - INFO - Epoch(train) [8][3420/4451] lr: 1.8006e-02 eta: 0:53:02 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1928 loss: 0.0394 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.6491 recall@top3: 0.7982 prec@top3: 0.5614 recall@top5: 0.9737 prec@top5: 0.4421 loss_action_cls: 0.0394 2022/12/03 21:23:47 - mmengine - INFO - Epoch(train) [8][3440/4451] lr: 1.7938e-02 eta: 0:52:56 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1904 loss: 0.0427 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8571 recall@top3: 0.8690 prec@top3: 0.5952 recall@top5: 0.9524 prec@top5: 0.4143 loss_action_cls: 0.0427 2022/12/03 21:23:53 - mmengine - INFO - Epoch(train) [8][3460/4451] lr: 1.7870e-02 eta: 0:52:50 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.1860 loss: 0.0374 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8220 recall@top3: 0.8864 prec@top3: 0.7727 recall@top5: 1.0000 prec@top5: 0.5455 loss_action_cls: 0.0374 2022/12/03 21:24:00 - mmengine - INFO - Epoch(train) [8][3480/4451] lr: 1.7803e-02 eta: 0:52:43 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.2054 loss: 0.0401 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9167 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.9062 prec@top5: 0.4250 loss_action_cls: 0.0401 2022/12/03 21:24:06 - mmengine - INFO - Epoch(train) [8][3500/4451] lr: 1.7735e-02 eta: 0:52:37 time: 0.3191 data_time: 0.0103 memory: 8510 grad_norm: 0.1953 loss: 0.0381 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8750 recall@top3: 0.8438 prec@top3: 0.7708 recall@top5: 0.9271 prec@top5: 0.5250 loss_action_cls: 0.0381 2022/12/03 21:24:12 - mmengine - INFO - Epoch(train) [8][3520/4451] lr: 1.7668e-02 eta: 0:52:30 time: 0.3215 data_time: 0.0100 memory: 8510 grad_norm: 0.1870 loss: 0.0399 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.8039 recall@top3: 0.7647 prec@top3: 0.7451 recall@top5: 0.9363 prec@top5: 0.5412 loss_action_cls: 0.0399 2022/12/03 21:24:19 - mmengine - INFO - Epoch(train) [8][3540/4451] lr: 1.7601e-02 eta: 0:52:24 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.2024 loss: 0.0351 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6481 recall@top3: 0.7870 prec@top3: 0.5556 recall@top5: 0.9537 prec@top5: 0.4111 loss_action_cls: 0.0351 2022/12/03 21:24:25 - mmengine - INFO - Epoch(train) [8][3560/4451] lr: 1.7534e-02 eta: 0:52:18 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1954 loss: 0.0424 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.7333 recall@top3: 0.7333 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.3733 loss_action_cls: 0.0424 2022/12/03 21:24:32 - mmengine - INFO - Epoch(train) [8][3580/4451] lr: 1.7467e-02 eta: 0:52:11 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.1971 loss: 0.0411 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.8409 recall@top3: 0.8939 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.4818 loss_action_cls: 0.0411 2022/12/03 21:24:38 - mmengine - INFO - Epoch(train) [8][3600/4451] lr: 1.7400e-02 eta: 0:52:05 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1946 loss: 0.0415 recall@thr=0.5: 0.7132 prec@thr=0.5: 0.7770 recall@top3: 0.8113 prec@top3: 0.7059 recall@top5: 0.9559 prec@top5: 0.5118 loss_action_cls: 0.0415 2022/12/03 21:24:44 - mmengine - INFO - Epoch(train) [8][3620/4451] lr: 1.7333e-02 eta: 0:51:58 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.1905 loss: 0.0372 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7167 recall@top3: 0.7433 prec@top3: 0.6833 recall@top5: 0.8083 prec@top5: 0.4700 loss_action_cls: 0.0372 2022/12/03 21:24:51 - mmengine - INFO - Epoch(train) [8][3640/4451] lr: 1.7266e-02 eta: 0:51:52 time: 0.3196 data_time: 0.0097 memory: 8510 grad_norm: 0.1988 loss: 0.0381 recall@thr=0.5: 0.7841 prec@thr=0.5: 0.8182 recall@top3: 0.8674 prec@top3: 0.6364 recall@top5: 0.8939 prec@top5: 0.4000 loss_action_cls: 0.0381 2022/12/03 21:24:57 - mmengine - INFO - Epoch(train) [8][3660/4451] lr: 1.7199e-02 eta: 0:51:46 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.1956 loss: 0.0397 recall@thr=0.5: 0.7457 prec@thr=0.5: 0.7521 recall@top3: 0.7564 prec@top3: 0.5812 recall@top5: 0.9103 prec@top5: 0.4359 loss_action_cls: 0.0397 2022/12/03 21:25:04 - mmengine - INFO - Epoch(train) [8][3680/4451] lr: 1.7133e-02 eta: 0:51:39 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.1932 loss: 0.0347 recall@thr=0.5: 0.6420 prec@thr=0.5: 0.8086 recall@top3: 0.7901 prec@top3: 0.5679 recall@top5: 0.8395 prec@top5: 0.3704 loss_action_cls: 0.0347 2022/12/03 21:25:10 - mmengine - INFO - Epoch(train) [8][3700/4451] lr: 1.7066e-02 eta: 0:51:33 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.1974 loss: 0.0420 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6944 recall@top3: 0.6468 prec@top3: 0.6349 recall@top5: 0.7976 prec@top5: 0.4762 loss_action_cls: 0.0420 2022/12/03 21:25:16 - mmengine - INFO - Epoch(train) [8][3720/4451] lr: 1.7000e-02 eta: 0:51:26 time: 0.3197 data_time: 0.0105 memory: 8510 grad_norm: 0.1891 loss: 0.0446 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.5937 recall@top3: 0.6042 prec@top3: 0.4792 recall@top5: 0.7083 prec@top5: 0.3375 loss_action_cls: 0.0446 2022/12/03 21:25:23 - mmengine - INFO - Epoch(train) [8][3740/4451] lr: 1.6934e-02 eta: 0:51:20 time: 0.3217 data_time: 0.0104 memory: 8510 grad_norm: 0.1954 loss: 0.0402 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8056 recall@top3: 0.8796 prec@top3: 0.7407 recall@top5: 0.9722 prec@top5: 0.5111 loss_action_cls: 0.0402 2022/12/03 21:25:29 - mmengine - INFO - Epoch(train) [8][3760/4451] lr: 1.6868e-02 eta: 0:51:14 time: 0.3209 data_time: 0.0107 memory: 8510 grad_norm: 0.1975 loss: 0.0386 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6667 recall@top3: 0.8026 prec@top3: 0.4737 recall@top5: 0.9298 prec@top5: 0.3368 loss_action_cls: 0.0386 2022/12/03 21:25:36 - mmengine - INFO - Epoch(train) [8][3780/4451] lr: 1.6802e-02 eta: 0:51:07 time: 0.3219 data_time: 0.0099 memory: 8510 grad_norm: 0.1919 loss: 0.0368 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6842 recall@top3: 0.7456 prec@top3: 0.5088 recall@top5: 0.8596 prec@top5: 0.3684 loss_action_cls: 0.0368 2022/12/03 21:25:42 - mmengine - INFO - Epoch(train) [8][3800/4451] lr: 1.6736e-02 eta: 0:51:01 time: 0.3210 data_time: 0.0106 memory: 8510 grad_norm: 0.1963 loss: 0.0411 recall@thr=0.5: 0.3235 prec@thr=0.5: 0.3235 recall@top3: 0.5980 prec@top3: 0.3333 recall@top5: 0.8039 prec@top5: 0.2706 loss_action_cls: 0.0411 2022/12/03 21:25:49 - mmengine - INFO - Epoch(train) [8][3820/4451] lr: 1.6670e-02 eta: 0:50:54 time: 0.3203 data_time: 0.0120 memory: 8510 grad_norm: 0.1941 loss: 0.0352 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.6364 recall@top3: 0.8636 prec@top3: 0.7273 recall@top5: 0.9545 prec@top5: 0.4909 loss_action_cls: 0.0352 2022/12/03 21:25:55 - mmengine - INFO - Epoch(train) [8][3840/4451] lr: 1.6604e-02 eta: 0:50:48 time: 0.3200 data_time: 0.0107 memory: 8510 grad_norm: 0.1906 loss: 0.0358 recall@thr=0.5: 0.7848 prec@thr=0.5: 0.7500 recall@top3: 0.7773 prec@top3: 0.6667 recall@top5: 0.9000 prec@top5: 0.4818 loss_action_cls: 0.0358 2022/12/03 21:25:56 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:26:01 - mmengine - INFO - Epoch(train) [8][3860/4451] lr: 1.6539e-02 eta: 0:50:41 time: 0.3207 data_time: 0.0102 memory: 8510 grad_norm: 0.1885 loss: 0.0387 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.6491 recall@top3: 0.8553 prec@top3: 0.4912 recall@top5: 0.8860 prec@top5: 0.3158 loss_action_cls: 0.0387 2022/12/03 21:26:08 - mmengine - INFO - Epoch(train) [8][3880/4451] lr: 1.6473e-02 eta: 0:50:35 time: 0.3211 data_time: 0.0099 memory: 8510 grad_norm: 0.1891 loss: 0.0367 recall@thr=0.5: 0.6437 prec@thr=0.5: 0.6437 recall@top3: 0.7701 prec@top3: 0.6092 recall@top5: 0.8851 prec@top5: 0.4000 loss_action_cls: 0.0367 2022/12/03 21:26:14 - mmengine - INFO - Epoch(train) [8][3900/4451] lr: 1.6408e-02 eta: 0:50:29 time: 0.3207 data_time: 0.0106 memory: 8510 grad_norm: 0.1920 loss: 0.0378 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5889 recall@top3: 0.8000 prec@top3: 0.5222 recall@top5: 0.8556 prec@top5: 0.3333 loss_action_cls: 0.0378 2022/12/03 21:26:21 - mmengine - INFO - Epoch(train) [8][3920/4451] lr: 1.6342e-02 eta: 0:50:22 time: 0.3212 data_time: 0.0099 memory: 8510 grad_norm: 0.1913 loss: 0.0377 recall@thr=0.5: 0.7656 prec@thr=0.5: 0.9719 recall@top3: 0.8229 prec@top3: 0.8750 recall@top5: 0.9688 prec@top5: 0.6250 loss_action_cls: 0.0377 2022/12/03 21:26:27 - mmengine - INFO - Epoch(train) [8][3940/4451] lr: 1.6277e-02 eta: 0:50:16 time: 0.3211 data_time: 0.0122 memory: 8510 grad_norm: 0.1884 loss: 0.0356 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8102 recall@top3: 0.9259 prec@top3: 0.6852 recall@top5: 0.9676 prec@top5: 0.4444 loss_action_cls: 0.0356 2022/12/03 21:26:34 - mmengine - INFO - Epoch(train) [8][3960/4451] lr: 1.6212e-02 eta: 0:50:09 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1913 loss: 0.0369 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.7692 recall@top3: 1.0000 prec@top3: 0.5128 recall@top5: 1.0000 prec@top5: 0.3077 loss_action_cls: 0.0369 2022/12/03 21:26:40 - mmengine - INFO - Epoch(train) [8][3980/4451] lr: 1.6147e-02 eta: 0:50:03 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.2023 loss: 0.0368 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.5942 recall@top3: 0.8188 prec@top3: 0.4783 recall@top5: 0.8913 prec@top5: 0.3217 loss_action_cls: 0.0368 2022/12/03 21:26:46 - mmengine - INFO - Epoch(train) [8][4000/4451] lr: 1.6082e-02 eta: 0:49:57 time: 0.3222 data_time: 0.0100 memory: 8510 grad_norm: 0.1936 loss: 0.0417 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7778 recall@top3: 0.7963 prec@top3: 0.6852 recall@top5: 0.8889 prec@top5: 0.4556 loss_action_cls: 0.0417 2022/12/03 21:26:53 - mmengine - INFO - Epoch(train) [8][4020/4451] lr: 1.6018e-02 eta: 0:49:50 time: 0.3213 data_time: 0.0098 memory: 8510 grad_norm: 0.1896 loss: 0.0371 recall@thr=0.5: 0.6273 prec@thr=0.5: 0.6101 recall@top3: 0.8126 prec@top3: 0.6667 recall@top5: 0.9099 prec@top5: 0.4783 loss_action_cls: 0.0371 2022/12/03 21:26:59 - mmengine - INFO - Epoch(train) [8][4040/4451] lr: 1.5953e-02 eta: 0:49:44 time: 0.3205 data_time: 0.0103 memory: 8510 grad_norm: 0.1940 loss: 0.0386 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7222 recall@top3: 0.7738 prec@top3: 0.6349 recall@top5: 0.9722 prec@top5: 0.4571 loss_action_cls: 0.0386 2022/12/03 21:27:06 - mmengine - INFO - Epoch(train) [8][4060/4451] lr: 1.5888e-02 eta: 0:49:37 time: 0.3208 data_time: 0.0107 memory: 8510 grad_norm: 0.1902 loss: 0.0373 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.9219 recall@top3: 0.8646 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0373 2022/12/03 21:27:12 - mmengine - INFO - Epoch(train) [8][4080/4451] lr: 1.5824e-02 eta: 0:49:31 time: 0.3221 data_time: 0.0102 memory: 8510 grad_norm: 0.2003 loss: 0.0396 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7018 recall@top3: 0.6579 prec@top3: 0.6140 recall@top5: 0.8596 prec@top5: 0.4842 loss_action_cls: 0.0396 2022/12/03 21:27:19 - mmengine - INFO - Epoch(train) [8][4100/4451] lr: 1.5760e-02 eta: 0:49:25 time: 0.3218 data_time: 0.0104 memory: 8510 grad_norm: 0.1893 loss: 0.0376 recall@thr=0.5: 0.6127 prec@thr=0.5: 0.6500 recall@top3: 0.8235 prec@top3: 0.6667 recall@top5: 0.9020 prec@top5: 0.4471 loss_action_cls: 0.0376 2022/12/03 21:27:25 - mmengine - INFO - Epoch(train) [8][4120/4451] lr: 1.5695e-02 eta: 0:49:18 time: 0.3208 data_time: 0.0104 memory: 8510 grad_norm: 0.1947 loss: 0.0374 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.8214 recall@top3: 0.8690 prec@top3: 0.6429 recall@top5: 0.8929 prec@top5: 0.4000 loss_action_cls: 0.0374 2022/12/03 21:27:31 - mmengine - INFO - Epoch(train) [8][4140/4451] lr: 1.5631e-02 eta: 0:49:12 time: 0.3207 data_time: 0.0104 memory: 8510 grad_norm: 0.1875 loss: 0.0364 recall@thr=0.5: 0.8080 prec@thr=0.5: 0.7759 recall@top3: 0.7943 prec@top3: 0.6092 recall@top5: 0.9517 prec@top5: 0.4621 loss_action_cls: 0.0364 2022/12/03 21:27:38 - mmengine - INFO - Epoch(train) [8][4160/4451] lr: 1.5567e-02 eta: 0:49:05 time: 0.3210 data_time: 0.0122 memory: 8510 grad_norm: 0.1999 loss: 0.0385 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8333 recall@top3: 0.9667 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0385 2022/12/03 21:27:44 - mmengine - INFO - Epoch(train) [8][4180/4451] lr: 1.5503e-02 eta: 0:48:59 time: 0.3204 data_time: 0.0114 memory: 8510 grad_norm: 0.1943 loss: 0.0384 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8365 recall@top3: 0.8218 prec@top3: 0.7949 recall@top5: 0.9423 prec@top5: 0.5692 loss_action_cls: 0.0384 2022/12/03 21:27:51 - mmengine - INFO - Epoch(train) [8][4200/4451] lr: 1.5439e-02 eta: 0:48:53 time: 0.3209 data_time: 0.0119 memory: 8510 grad_norm: 0.1913 loss: 0.0412 recall@thr=0.5: 0.6012 prec@thr=0.5: 0.7530 recall@top3: 0.7601 prec@top3: 0.7262 recall@top5: 0.8196 prec@top5: 0.4714 loss_action_cls: 0.0412 2022/12/03 21:27:57 - mmengine - INFO - Epoch(train) [8][4220/4451] lr: 1.5376e-02 eta: 0:48:46 time: 0.3207 data_time: 0.0111 memory: 8510 grad_norm: 0.1919 loss: 0.0345 recall@thr=0.5: 0.6149 prec@thr=0.5: 0.7252 recall@top3: 0.8468 prec@top3: 0.6757 recall@top5: 0.9685 prec@top5: 0.4757 loss_action_cls: 0.0345 2022/12/03 21:28:03 - mmengine - INFO - Epoch(train) [8][4240/4451] lr: 1.5312e-02 eta: 0:48:40 time: 0.3215 data_time: 0.0099 memory: 8510 grad_norm: 0.1997 loss: 0.0409 recall@thr=0.5: 0.7510 prec@thr=0.5: 0.9216 recall@top3: 0.8588 prec@top3: 0.6863 recall@top5: 0.9392 prec@top5: 0.4588 loss_action_cls: 0.0409 2022/12/03 21:28:10 - mmengine - INFO - Epoch(train) [8][4260/4451] lr: 1.5249e-02 eta: 0:48:33 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1912 loss: 0.0393 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.7692 recall@top3: 0.8846 prec@top3: 0.4872 recall@top5: 0.9615 prec@top5: 0.3231 loss_action_cls: 0.0393 2022/12/03 21:28:16 - mmengine - INFO - Epoch(train) [8][4280/4451] lr: 1.5185e-02 eta: 0:48:27 time: 0.3214 data_time: 0.0100 memory: 8510 grad_norm: 0.1841 loss: 0.0382 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6667 recall@top3: 0.7708 prec@top3: 0.6667 recall@top5: 0.8438 prec@top5: 0.4375 loss_action_cls: 0.0382 2022/12/03 21:28:23 - mmengine - INFO - Epoch(train) [8][4300/4451] lr: 1.5122e-02 eta: 0:48:21 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1935 loss: 0.0397 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7411 recall@top3: 0.8036 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.5143 loss_action_cls: 0.0397 2022/12/03 21:28:29 - mmengine - INFO - Epoch(train) [8][4320/4451] lr: 1.5059e-02 eta: 0:48:14 time: 0.3200 data_time: 0.0099 memory: 8510 grad_norm: 0.1894 loss: 0.0401 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7500 recall@top3: 0.7037 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.4333 loss_action_cls: 0.0401 2022/12/03 21:28:36 - mmengine - INFO - Epoch(train) [8][4340/4451] lr: 1.4996e-02 eta: 0:48:08 time: 0.3186 data_time: 0.0099 memory: 8510 grad_norm: 0.1958 loss: 0.0408 recall@thr=0.5: 0.5323 prec@thr=0.5: 0.7097 recall@top3: 0.7796 prec@top3: 0.6129 recall@top5: 0.9032 prec@top5: 0.4323 loss_action_cls: 0.0408 2022/12/03 21:28:42 - mmengine - INFO - Epoch(train) [8][4360/4451] lr: 1.4933e-02 eta: 0:48:01 time: 0.3217 data_time: 0.0103 memory: 8510 grad_norm: 0.1897 loss: 0.0356 recall@thr=0.5: 0.7535 prec@thr=0.5: 0.7708 recall@top3: 0.8542 prec@top3: 0.6250 recall@top5: 0.9306 prec@top5: 0.4250 loss_action_cls: 0.0356 2022/12/03 21:28:48 - mmengine - INFO - Epoch(train) [8][4380/4451] lr: 1.4870e-02 eta: 0:47:55 time: 0.3196 data_time: 0.0103 memory: 8510 grad_norm: 0.1957 loss: 0.0381 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7544 recall@top3: 0.7544 prec@top3: 0.5263 recall@top5: 0.9123 prec@top5: 0.4000 loss_action_cls: 0.0381 2022/12/03 21:28:55 - mmengine - INFO - Epoch(train) [8][4400/4451] lr: 1.4807e-02 eta: 0:47:49 time: 0.3213 data_time: 0.0100 memory: 8510 grad_norm: 0.1980 loss: 0.0388 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8725 recall@top3: 0.9265 prec@top3: 0.7255 recall@top5: 0.9853 prec@top5: 0.4824 loss_action_cls: 0.0388 2022/12/03 21:29:01 - mmengine - INFO - Epoch(train) [8][4420/4451] lr: 1.4745e-02 eta: 0:47:42 time: 0.3218 data_time: 0.0108 memory: 8510 grad_norm: 0.1892 loss: 0.0389 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7917 recall@top3: 0.8167 prec@top3: 0.7167 recall@top5: 0.9750 prec@top5: 0.5500 loss_action_cls: 0.0389 2022/12/03 21:29:08 - mmengine - INFO - Epoch(train) [8][4440/4451] lr: 1.4682e-02 eta: 0:47:36 time: 0.3197 data_time: 0.0106 memory: 8510 grad_norm: 0.1918 loss: 0.0364 recall@thr=0.5: 0.7923 prec@thr=0.5: 0.7564 recall@top3: 0.8154 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4769 loss_action_cls: 0.0364 2022/12/03 21:29:11 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:29:11 - mmengine - INFO - Epoch(train) [8][4451/4451] lr: 1.4648e-02 eta: 0:47:32 time: 0.3144 data_time: 0.0101 memory: 8510 grad_norm: 0.1893 loss: 0.0354 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6333 recall@top3: 0.8333 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0354 2022/12/03 21:29:11 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/12/03 21:29:16 - mmengine - INFO - Epoch(val) [8][ 20/6282] eta: 0:04:29 time: 0.0430 data_time: 0.0083 memory: 661 2022/12/03 21:29:16 - mmengine - INFO - Epoch(val) [8][ 40/6282] eta: 0:04:15 time: 0.0388 data_time: 0.0054 memory: 661 2022/12/03 21:29:17 - mmengine - INFO - Epoch(val) [8][ 60/6282] eta: 0:04:06 time: 0.0372 data_time: 0.0054 memory: 661 2022/12/03 21:29:18 - mmengine - INFO - Epoch(val) [8][ 80/6282] eta: 0:04:03 time: 0.0379 data_time: 0.0043 memory: 661 2022/12/03 21:29:19 - mmengine - INFO - Epoch(val) [8][ 100/6282] eta: 0:04:05 time: 0.0416 data_time: 0.0064 memory: 661 2022/12/03 21:29:20 - mmengine - INFO - Epoch(val) [8][ 120/6282] eta: 0:04:07 time: 0.0426 data_time: 0.0039 memory: 732 2022/12/03 21:29:21 - mmengine - INFO - Epoch(val) [8][ 140/6282] eta: 0:04:13 time: 0.0482 data_time: 0.0060 memory: 732 2022/12/03 21:29:22 - mmengine - INFO - Epoch(val) [8][ 160/6282] eta: 0:04:18 time: 0.0486 data_time: 0.0041 memory: 732 2022/12/03 21:29:23 - mmengine - INFO - Epoch(val) [8][ 180/6282] eta: 0:04:20 time: 0.0470 data_time: 0.0043 memory: 732 2022/12/03 21:29:24 - mmengine - INFO - Epoch(val) [8][ 200/6282] eta: 0:04:25 time: 0.0513 data_time: 0.0051 memory: 732 2022/12/03 21:29:25 - mmengine - INFO - Epoch(val) [8][ 220/6282] eta: 0:04:25 time: 0.0453 data_time: 0.0052 memory: 674 2022/12/03 21:29:25 - mmengine - INFO - Epoch(val) [8][ 240/6282] eta: 0:04:25 time: 0.0456 data_time: 0.0072 memory: 674 2022/12/03 21:29:26 - mmengine - INFO - Epoch(val) [8][ 260/6282] eta: 0:04:25 time: 0.0469 data_time: 0.0067 memory: 674 2022/12/03 21:29:27 - mmengine - INFO - Epoch(val) [8][ 280/6282] eta: 0:04:25 time: 0.0449 data_time: 0.0051 memory: 674 2022/12/03 21:29:28 - mmengine - INFO - Epoch(val) [8][ 300/6282] eta: 0:04:25 time: 0.0473 data_time: 0.0042 memory: 732 2022/12/03 21:29:29 - mmengine - INFO - Epoch(val) [8][ 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time: 0.0422 data_time: 0.0055 memory: 678 2022/12/03 21:29:37 - mmengine - INFO - Epoch(val) [8][ 500/6282] eta: 0:04:18 time: 0.0436 data_time: 0.0056 memory: 678 2022/12/03 21:29:38 - mmengine - INFO - Epoch(val) [8][ 520/6282] eta: 0:04:16 time: 0.0418 data_time: 0.0060 memory: 674 2022/12/03 21:29:39 - mmengine - INFO - Epoch(val) [8][ 540/6282] eta: 0:04:15 time: 0.0438 data_time: 0.0056 memory: 674 2022/12/03 21:29:40 - mmengine - INFO - Epoch(val) [8][ 560/6282] eta: 0:04:15 time: 0.0469 data_time: 0.0071 memory: 674 2022/12/03 21:29:41 - mmengine - INFO - Epoch(val) [8][ 580/6282] eta: 0:04:15 time: 0.0483 data_time: 0.0070 memory: 674 2022/12/03 21:29:42 - mmengine - INFO - Epoch(val) [8][ 600/6282] eta: 0:04:14 time: 0.0469 data_time: 0.0065 memory: 674 2022/12/03 21:29:43 - mmengine - INFO - Epoch(val) [8][ 620/6282] eta: 0:04:15 time: 0.0553 data_time: 0.0099 memory: 674 2022/12/03 21:29:44 - mmengine - INFO - Epoch(val) [8][ 640/6282] eta: 0:04:16 time: 0.0541 data_time: 0.0075 memory: 670 2022/12/03 21:29:45 - mmengine - INFO - Epoch(val) [8][ 660/6282] eta: 0:04:16 time: 0.0528 data_time: 0.0072 memory: 670 2022/12/03 21:29:46 - mmengine - INFO - Epoch(val) [8][ 680/6282] eta: 0:04:17 time: 0.0563 data_time: 0.0094 memory: 670 2022/12/03 21:29:47 - mmengine - INFO - Epoch(val) [8][ 700/6282] eta: 0:04:16 time: 0.0467 data_time: 0.0060 memory: 670 2022/12/03 21:29:48 - mmengine - INFO - Epoch(val) [8][ 720/6282] eta: 0:04:16 time: 0.0502 data_time: 0.0078 memory: 732 2022/12/03 21:29:49 - mmengine - INFO - Epoch(val) [8][ 740/6282] eta: 0:04:15 time: 0.0469 data_time: 0.0051 memory: 732 2022/12/03 21:29:50 - mmengine - INFO - Epoch(val) [8][ 760/6282] eta: 0:04:15 time: 0.0536 data_time: 0.0083 memory: 732 2022/12/03 21:29:51 - mmengine - INFO - Epoch(val) [8][ 780/6282] eta: 0:04:15 time: 0.0505 data_time: 0.0054 memory: 732 2022/12/03 21:29:52 - mmengine - INFO - Epoch(val) [8][ 800/6282] eta: 0:04:14 time: 0.0475 data_time: 0.0048 memory: 732 2022/12/03 21:29:53 - mmengine - INFO - Epoch(val) [8][ 820/6282] eta: 0:04:13 time: 0.0472 data_time: 0.0064 memory: 732 2022/12/03 21:29:54 - mmengine - INFO - Epoch(val) [8][ 840/6282] eta: 0:04:12 time: 0.0408 data_time: 0.0055 memory: 674 2022/12/03 21:29:55 - mmengine - INFO - Epoch(val) [8][ 860/6282] eta: 0:04:10 time: 0.0434 data_time: 0.0036 memory: 674 2022/12/03 21:29:56 - mmengine - INFO - Epoch(val) [8][ 880/6282] eta: 0:04:09 time: 0.0425 data_time: 0.0049 memory: 674 2022/12/03 21:29:57 - mmengine - INFO - Epoch(val) [8][ 900/6282] eta: 0:04:08 time: 0.0433 data_time: 0.0057 memory: 674 2022/12/03 21:29:58 - mmengine - INFO - Epoch(val) [8][ 920/6282] eta: 0:04:06 time: 0.0393 data_time: 0.0038 memory: 674 2022/12/03 21:29:58 - mmengine - INFO - Epoch(val) [8][ 940/6282] eta: 0:04:05 time: 0.0418 data_time: 0.0045 memory: 661 2022/12/03 21:29:59 - mmengine - INFO - Epoch(val) [8][ 960/6282] eta: 0:04:03 time: 0.0424 data_time: 0.0055 memory: 661 2022/12/03 21:30:00 - mmengine - INFO - Epoch(val) [8][ 980/6282] eta: 0:04:02 time: 0.0403 data_time: 0.0044 memory: 661 2022/12/03 21:30:01 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:04:01 time: 0.0426 data_time: 0.0053 memory: 661 2022/12/03 21:30:02 - mmengine - INFO - Epoch(val) [8][1020/6282] eta: 0:03:59 time: 0.0419 data_time: 0.0045 memory: 674 2022/12/03 21:30:03 - mmengine - INFO - Epoch(val) [8][1040/6282] eta: 0:03:58 time: 0.0452 data_time: 0.0058 memory: 674 2022/12/03 21:30:04 - mmengine - INFO - Epoch(val) [8][1060/6282] eta: 0:03:57 time: 0.0422 data_time: 0.0057 memory: 674 2022/12/03 21:30:05 - mmengine - INFO - Epoch(val) [8][1080/6282] eta: 0:03:57 time: 0.0498 data_time: 0.0057 memory: 674 2022/12/03 21:30:06 - mmengine - INFO - Epoch(val) [8][1100/6282] eta: 0:03:56 time: 0.0486 data_time: 0.0062 memory: 674 2022/12/03 21:30:06 - mmengine - INFO - Epoch(val) [8][1120/6282] eta: 0:03:55 time: 0.0457 data_time: 0.0054 memory: 674 2022/12/03 21:30:08 - mmengine - INFO - Epoch(val) [8][1140/6282] eta: 0:03:55 time: 0.0550 data_time: 0.0065 memory: 674 2022/12/03 21:30:09 - mmengine - INFO - Epoch(val) [8][1160/6282] eta: 0:03:55 time: 0.0578 data_time: 0.0101 memory: 674 2022/12/03 21:30:10 - mmengine - INFO - Epoch(val) [8][1180/6282] eta: 0:03:54 time: 0.0475 data_time: 0.0053 memory: 674 2022/12/03 21:30:11 - mmengine - INFO - Epoch(val) [8][1200/6282] eta: 0:03:54 time: 0.0551 data_time: 0.0092 memory: 674 2022/12/03 21:30:12 - mmengine - INFO - Epoch(val) [8][1220/6282] eta: 0:03:54 time: 0.0576 data_time: 0.0111 memory: 674 2022/12/03 21:30:13 - mmengine - INFO - Epoch(val) [8][1240/6282] eta: 0:03:55 time: 0.0634 data_time: 0.0087 memory: 732 2022/12/03 21:30:15 - mmengine - INFO - Epoch(val) [8][1260/6282] eta: 0:03:55 time: 0.0669 data_time: 0.0120 memory: 732 2022/12/03 21:30:16 - mmengine - INFO - Epoch(val) [8][1280/6282] eta: 0:03:56 time: 0.0622 data_time: 0.0102 memory: 732 2022/12/03 21:30:17 - mmengine - INFO - Epoch(val) 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0:03:48 time: 0.0445 data_time: 0.0044 memory: 732 2022/12/03 21:30:26 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:03:47 time: 0.0446 data_time: 0.0048 memory: 732 2022/12/03 21:30:27 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:03:46 time: 0.0448 data_time: 0.0047 memory: 732 2022/12/03 21:30:28 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:03:45 time: 0.0471 data_time: 0.0040 memory: 819 2022/12/03 21:30:29 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:03:45 time: 0.0534 data_time: 0.0057 memory: 819 2022/12/03 21:30:30 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:03:44 time: 0.0493 data_time: 0.0037 memory: 819 2022/12/03 21:30:31 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:03:43 time: 0.0495 data_time: 0.0043 memory: 819 2022/12/03 21:30:32 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:03:42 time: 0.0503 data_time: 0.0037 memory: 819 2022/12/03 21:30:33 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:03:41 time: 0.0479 data_time: 0.0032 memory: 819 2022/12/03 21:30:34 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:03:40 time: 0.0449 data_time: 0.0043 memory: 732 2022/12/03 21:30:34 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:03:39 time: 0.0424 data_time: 0.0034 memory: 732 2022/12/03 21:30:35 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:03:38 time: 0.0524 data_time: 0.0068 memory: 732 2022/12/03 21:30:37 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:03:37 time: 0.0532 data_time: 0.0085 memory: 732 2022/12/03 21:30:38 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:03:37 time: 0.0517 data_time: 0.0061 memory: 732 2022/12/03 21:30:39 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:03:36 time: 0.0530 data_time: 0.0086 memory: 732 2022/12/03 21:30:40 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:03:35 time: 0.0519 data_time: 0.0065 memory: 732 2022/12/03 21:30:41 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:03:35 time: 0.0500 data_time: 0.0061 memory: 732 2022/12/03 21:30:42 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:03:34 time: 0.0519 data_time: 0.0063 memory: 732 2022/12/03 21:30:43 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:03:33 time: 0.0526 data_time: 0.0072 memory: 732 2022/12/03 21:30:44 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:03:32 time: 0.0553 data_time: 0.0078 memory: 732 2022/12/03 21:30:45 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:03:32 time: 0.0504 data_time: 0.0060 memory: 732 2022/12/03 21:30:46 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:03:31 time: 0.0505 data_time: 0.0047 memory: 732 2022/12/03 21:30:47 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:03:30 time: 0.0513 data_time: 0.0055 memory: 732 2022/12/03 21:30:48 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:03:29 time: 0.0493 data_time: 0.0060 memory: 732 2022/12/03 21:30:49 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:03:28 time: 0.0491 data_time: 0.0043 memory: 732 2022/12/03 21:30:50 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:03:27 time: 0.0446 data_time: 0.0051 memory: 678 2022/12/03 21:30:51 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:03:26 time: 0.0419 data_time: 0.0037 memory: 678 2022/12/03 21:30:52 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:03:25 time: 0.0416 data_time: 0.0052 memory: 678 2022/12/03 21:30:52 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:03:23 time: 0.0418 data_time: 0.0036 memory: 678 2022/12/03 21:30:53 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:03:22 time: 0.0449 data_time: 0.0066 memory: 678 2022/12/03 21:30:54 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:03:21 time: 0.0408 data_time: 0.0038 memory: 678 2022/12/03 21:30:55 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:03:20 time: 0.0452 data_time: 0.0052 memory: 678 2022/12/03 21:30:56 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:03:19 time: 0.0457 data_time: 0.0056 memory: 678 2022/12/03 21:30:57 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:03:18 time: 0.0420 data_time: 0.0059 memory: 678 2022/12/03 21:30:58 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:03:17 time: 0.0446 data_time: 0.0050 memory: 678 2022/12/03 21:30:59 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:03:16 time: 0.0422 data_time: 0.0049 memory: 674 2022/12/03 21:30:59 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:03:14 time: 0.0429 data_time: 0.0055 memory: 674 2022/12/03 21:31:00 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:03:13 time: 0.0414 data_time: 0.0046 memory: 674 2022/12/03 21:31:01 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:03:12 time: 0.0455 data_time: 0.0060 memory: 674 2022/12/03 21:31:02 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:03:11 time: 0.0434 data_time: 0.0055 memory: 674 2022/12/03 21:31:03 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:03:10 time: 0.0460 data_time: 0.0059 memory: 678 2022/12/03 21:31:04 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:03:09 time: 0.0431 data_time: 0.0049 memory: 678 2022/12/03 21:31:05 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:03:08 time: 0.0430 data_time: 0.0061 memory: 678 2022/12/03 21:31:06 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:03:07 time: 0.0446 data_time: 0.0055 memory: 678 2022/12/03 21:31:07 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:03:06 time: 0.0458 data_time: 0.0064 memory: 678 2022/12/03 21:31:08 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:03:05 time: 0.0527 data_time: 0.0071 memory: 674 2022/12/03 21:31:09 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:03:04 time: 0.0482 data_time: 0.0060 memory: 674 2022/12/03 21:31:10 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:03:03 time: 0.0493 data_time: 0.0080 memory: 674 2022/12/03 21:31:11 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:03:03 time: 0.0526 data_time: 0.0085 memory: 674 2022/12/03 21:31:12 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:03:02 time: 0.0468 data_time: 0.0051 memory: 674 2022/12/03 21:31:13 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:03:01 time: 0.0492 data_time: 0.0052 memory: 732 2022/12/03 21:31:14 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:03:00 time: 0.0525 data_time: 0.0065 memory: 732 2022/12/03 21:31:15 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:02:59 time: 0.0505 data_time: 0.0042 memory: 732 2022/12/03 21:31:16 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:02:58 time: 0.0517 data_time: 0.0051 memory: 732 2022/12/03 21:31:17 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:02:57 time: 0.0502 data_time: 0.0066 memory: 732 2022/12/03 21:31:18 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:02:56 time: 0.0506 data_time: 0.0073 memory: 732 2022/12/03 21:31:19 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:02:56 time: 0.0479 data_time: 0.0049 memory: 732 2022/12/03 21:31:20 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:02:55 time: 0.0482 data_time: 0.0057 memory: 732 2022/12/03 21:31:21 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:02:54 time: 0.0519 data_time: 0.0053 memory: 732 2022/12/03 21:31:22 - mmengine - INFO - Epoch(val) [8][2640/6282] eta: 0:02:53 time: 0.0532 data_time: 0.0086 memory: 732 2022/12/03 21:31:23 - mmengine - INFO - Epoch(val) [8][2660/6282] eta: 0:02:52 time: 0.0532 data_time: 0.0047 memory: 811 2022/12/03 21:31:24 - mmengine - INFO - Epoch(val) [8][2680/6282] eta: 0:02:51 time: 0.0508 data_time: 0.0044 memory: 811 2022/12/03 21:31:25 - mmengine - INFO - Epoch(val) [8][2700/6282] eta: 0:02:50 time: 0.0510 data_time: 0.0052 memory: 811 2022/12/03 21:31:26 - mmengine - INFO - Epoch(val) [8][2720/6282] eta: 0:02:50 time: 0.0563 data_time: 0.0060 memory: 811 2022/12/03 21:31:27 - mmengine - INFO - Epoch(val) [8][2740/6282] eta: 0:02:49 time: 0.0510 data_time: 0.0039 memory: 811 2022/12/03 21:31:28 - mmengine - INFO - Epoch(val) [8][2760/6282] eta: 0:02:48 time: 0.0451 data_time: 0.0062 memory: 678 2022/12/03 21:31:29 - mmengine - INFO - Epoch(val) [8][2780/6282] eta: 0:02:47 time: 0.0419 data_time: 0.0042 memory: 678 2022/12/03 21:31:30 - mmengine - INFO - Epoch(val) [8][2800/6282] eta: 0:02:46 time: 0.0407 data_time: 0.0048 memory: 678 2022/12/03 21:31:31 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:02:45 time: 0.0442 data_time: 0.0093 memory: 678 2022/12/03 21:31:31 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:02:43 time: 0.0395 data_time: 0.0047 memory: 678 2022/12/03 21:31:32 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:02:42 time: 0.0459 data_time: 0.0050 memory: 732 2022/12/03 21:31:33 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:02:41 time: 0.0476 data_time: 0.0043 memory: 732 2022/12/03 21:31:34 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:02:40 time: 0.0479 data_time: 0.0042 memory: 732 2022/12/03 21:31:35 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:02:39 time: 0.0443 data_time: 0.0057 memory: 732 2022/12/03 21:31:36 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:02:38 time: 0.0438 data_time: 0.0049 memory: 701 2022/12/03 21:31:37 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:02:37 time: 0.0434 data_time: 0.0056 memory: 701 2022/12/03 21:31:38 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:02:36 time: 0.0430 data_time: 0.0039 memory: 701 2022/12/03 21:31:39 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:02:35 time: 0.0437 data_time: 0.0054 memory: 701 2022/12/03 21:31:40 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:02:34 time: 0.0467 data_time: 0.0043 memory: 732 2022/12/03 21:31:41 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:02:33 time: 0.0459 data_time: 0.0050 memory: 732 2022/12/03 21:31:41 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:02:32 time: 0.0450 data_time: 0.0033 memory: 732 2022/12/03 21:31:42 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:02:31 time: 0.0478 data_time: 0.0039 memory: 732 2022/12/03 21:31:43 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:02:30 time: 0.0459 data_time: 0.0052 memory: 732 2022/12/03 21:31:44 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:02:29 time: 0.0415 data_time: 0.0054 memory: 678 2022/12/03 21:31:45 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:02:28 time: 0.0421 data_time: 0.0067 memory: 678 2022/12/03 21:31:46 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:02:27 time: 0.0421 data_time: 0.0052 memory: 678 2022/12/03 21:31:47 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:02:26 time: 0.0450 data_time: 0.0059 memory: 678 2022/12/03 21:31:48 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:02:25 time: 0.0463 data_time: 0.0056 memory: 732 2022/12/03 21:31:49 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:02:24 time: 0.0465 data_time: 0.0035 memory: 732 2022/12/03 21:31:50 - mmengine - INFO - Epoch(val) [8][3240/6282] eta: 0:02:23 time: 0.0456 data_time: 0.0041 memory: 732 2022/12/03 21:31:51 - mmengine - INFO - Epoch(val) [8][3260/6282] eta: 0:02:22 time: 0.0468 data_time: 0.0053 memory: 732 2022/12/03 21:31:51 - mmengine - INFO - Epoch(val) [8][3280/6282] eta: 0:02:21 time: 0.0452 data_time: 0.0035 memory: 732 2022/12/03 21:31:52 - mmengine - INFO - Epoch(val) [8][3300/6282] eta: 0:02:20 time: 0.0460 data_time: 0.0046 memory: 732 2022/12/03 21:31:53 - mmengine - INFO - Epoch(val) [8][3320/6282] eta: 0:02:19 time: 0.0457 data_time: 0.0035 memory: 732 2022/12/03 21:31:54 - mmengine - INFO - Epoch(val) [8][3340/6282] eta: 0:02:19 time: 0.0474 data_time: 0.0063 memory: 732 2022/12/03 21:31:55 - mmengine - INFO - Epoch(val) [8][3360/6282] eta: 0:02:18 time: 0.0465 data_time: 0.0041 memory: 732 2022/12/03 21:31:56 - mmengine - INFO - Epoch(val) [8][3380/6282] eta: 0:02:17 time: 0.0448 data_time: 0.0038 memory: 732 2022/12/03 21:31:57 - mmengine - INFO - Epoch(val) [8][3400/6282] eta: 0:02:16 time: 0.0415 data_time: 0.0039 memory: 674 2022/12/03 21:31:58 - mmengine - INFO - Epoch(val) [8][3420/6282] eta: 0:02:15 time: 0.0416 data_time: 0.0051 memory: 674 2022/12/03 21:31:59 - mmengine - INFO - Epoch(val) [8][3440/6282] eta: 0:02:14 time: 0.0447 data_time: 0.0062 memory: 674 2022/12/03 21:32:00 - mmengine - INFO - Epoch(val) [8][3460/6282] eta: 0:02:12 time: 0.0414 data_time: 0.0049 memory: 674 2022/12/03 21:32:00 - mmengine - INFO - Epoch(val) [8][3480/6282] eta: 0:02:11 time: 0.0423 data_time: 0.0045 memory: 674 2022/12/03 21:32:01 - mmengine - INFO - Epoch(val) [8][3500/6282] eta: 0:02:10 time: 0.0426 data_time: 0.0049 memory: 674 2022/12/03 21:32:02 - mmengine - INFO - Epoch(val) [8][3520/6282] eta: 0:02:10 time: 0.0486 data_time: 0.0061 memory: 674 2022/12/03 21:32:03 - mmengine - INFO - Epoch(val) [8][3540/6282] eta: 0:02:09 time: 0.0455 data_time: 0.0073 memory: 674 2022/12/03 21:32:04 - mmengine - INFO - Epoch(val) [8][3560/6282] eta: 0:02:08 time: 0.0427 data_time: 0.0052 memory: 674 2022/12/03 21:32:05 - mmengine - INFO - Epoch(val) [8][3580/6282] eta: 0:02:07 time: 0.0459 data_time: 0.0050 memory: 715 2022/12/03 21:32:06 - mmengine - INFO - Epoch(val) [8][3600/6282] eta: 0:02:06 time: 0.0485 data_time: 0.0070 memory: 715 2022/12/03 21:32:07 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:02:05 time: 0.0456 data_time: 0.0062 memory: 715 2022/12/03 21:32:08 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:02:04 time: 0.0432 data_time: 0.0048 memory: 715 2022/12/03 21:32:09 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:03 time: 0.0453 data_time: 0.0053 memory: 715 2022/12/03 21:32:10 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:02:02 time: 0.0474 data_time: 0.0066 memory: 732 2022/12/03 21:32:11 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:02:01 time: 0.0489 data_time: 0.0056 memory: 732 2022/12/03 21:32:12 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:02:00 time: 0.0491 data_time: 0.0061 memory: 732 2022/12/03 21:32:12 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:01:59 time: 0.0453 data_time: 0.0040 memory: 732 2022/12/03 21:32:13 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:01:58 time: 0.0464 data_time: 0.0043 memory: 732 2022/12/03 21:32:14 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:01:57 time: 0.0442 data_time: 0.0048 memory: 732 2022/12/03 21:32:15 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:01:56 time: 0.0449 data_time: 0.0044 memory: 732 2022/12/03 21:32:16 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:01:55 time: 0.0442 data_time: 0.0041 memory: 732 2022/12/03 21:32:17 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:01:54 time: 0.0453 data_time: 0.0039 memory: 732 2022/12/03 21:32:18 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:01:53 time: 0.0450 data_time: 0.0044 memory: 732 2022/12/03 21:32:19 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:01:52 time: 0.0466 data_time: 0.0048 memory: 732 2022/12/03 21:32:20 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:01:51 time: 0.0444 data_time: 0.0041 memory: 732 2022/12/03 21:32:21 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:01:50 time: 0.0450 data_time: 0.0054 memory: 732 2022/12/03 21:32:22 - mmengine - INFO - Epoch(val) [8][3940/6282] eta: 0:01:49 time: 0.0483 data_time: 0.0051 memory: 732 2022/12/03 21:32:23 - mmengine - INFO - Epoch(val) [8][3960/6282] eta: 0:01:48 time: 0.0466 data_time: 0.0050 memory: 732 2022/12/03 21:32:23 - mmengine - INFO - Epoch(val) [8][3980/6282] eta: 0:01:48 time: 0.0447 data_time: 0.0043 memory: 732 2022/12/03 21:32:24 - mmengine - INFO - Epoch(val) [8][4000/6282] eta: 0:01:47 time: 0.0467 data_time: 0.0043 memory: 732 2022/12/03 21:32:25 - mmengine - INFO - Epoch(val) [8][4020/6282] eta: 0:01:46 time: 0.0449 data_time: 0.0047 memory: 732 2022/12/03 21:32:26 - mmengine - INFO - Epoch(val) [8][4040/6282] eta: 0:01:45 time: 0.0467 data_time: 0.0041 memory: 811 2022/12/03 21:32:27 - mmengine - INFO - Epoch(val) [8][4060/6282] eta: 0:01:44 time: 0.0502 data_time: 0.0050 memory: 811 2022/12/03 21:32:28 - mmengine - INFO - Epoch(val) [8][4080/6282] eta: 0:01:43 time: 0.0486 data_time: 0.0041 memory: 811 2022/12/03 21:32:29 - mmengine - INFO - Epoch(val) [8][4100/6282] eta: 0:01:42 time: 0.0499 data_time: 0.0026 memory: 811 2022/12/03 21:32:30 - mmengine - INFO - Epoch(val) [8][4120/6282] eta: 0:01:41 time: 0.0533 data_time: 0.0048 memory: 811 2022/12/03 21:32:31 - mmengine - INFO - Epoch(val) [8][4140/6282] eta: 0:01:40 time: 0.0472 data_time: 0.0038 memory: 811 2022/12/03 21:32:32 - mmengine - INFO - Epoch(val) [8][4160/6282] eta: 0:01:39 time: 0.0402 data_time: 0.0055 memory: 674 2022/12/03 21:32:33 - mmengine - INFO - Epoch(val) [8][4180/6282] eta: 0:01:38 time: 0.0524 data_time: 0.0165 memory: 674 2022/12/03 21:32:34 - mmengine - INFO - Epoch(val) [8][4200/6282] eta: 0:01:37 time: 0.0398 data_time: 0.0038 memory: 674 2022/12/03 21:32:35 - mmengine - INFO - Epoch(val) [8][4220/6282] eta: 0:01:36 time: 0.0419 data_time: 0.0036 memory: 674 2022/12/03 21:32:36 - mmengine - INFO - Epoch(val) 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data_time: 0.0049 memory: 678 2022/12/03 21:32:50 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:19 time: 0.0388 data_time: 0.0056 memory: 678 2022/12/03 21:32:51 - mmengine - INFO - Epoch(val) [8][4600/6282] eta: 0:01:18 time: 0.0397 data_time: 0.0042 memory: 678 2022/12/03 21:32:52 - mmengine - INFO - Epoch(val) [8][4620/6282] eta: 0:01:17 time: 0.0392 data_time: 0.0035 memory: 678 2022/12/03 21:32:53 - mmengine - INFO - Epoch(val) [8][4640/6282] eta: 0:01:16 time: 0.0452 data_time: 0.0047 memory: 739 2022/12/03 21:32:54 - mmengine - INFO - Epoch(val) [8][4660/6282] eta: 0:01:15 time: 0.0432 data_time: 0.0043 memory: 739 2022/12/03 21:32:55 - mmengine - INFO - Epoch(val) [8][4680/6282] eta: 0:01:14 time: 0.0440 data_time: 0.0036 memory: 739 2022/12/03 21:32:55 - mmengine - INFO - Epoch(val) [8][4700/6282] eta: 0:01:13 time: 0.0449 data_time: 0.0029 memory: 739 2022/12/03 21:32:56 - mmengine - INFO - Epoch(val) [8][4720/6282] eta: 0:01:12 time: 0.0458 data_time: 0.0059 memory: 739 2022/12/03 21:32:57 - mmengine - INFO - Epoch(val) [8][4740/6282] eta: 0:01:11 time: 0.0425 data_time: 0.0060 memory: 698 2022/12/03 21:32:58 - mmengine - INFO - Epoch(val) [8][4760/6282] eta: 0:01:10 time: 0.0457 data_time: 0.0049 memory: 698 2022/12/03 21:32:59 - mmengine - INFO - Epoch(val) [8][4780/6282] eta: 0:01:09 time: 0.0437 data_time: 0.0042 memory: 698 2022/12/03 21:33:00 - mmengine - INFO - Epoch(val) [8][4800/6282] eta: 0:01:08 time: 0.0435 data_time: 0.0044 memory: 698 2022/12/03 21:33:01 - mmengine - INFO - Epoch(val) [8][4820/6282] eta: 0:01:07 time: 0.0434 data_time: 0.0047 memory: 732 2022/12/03 21:33:02 - mmengine - INFO - Epoch(val) [8][4840/6282] eta: 0:01:06 time: 0.0443 data_time: 0.0034 memory: 732 2022/12/03 21:33:03 - mmengine - INFO - Epoch(val) [8][4860/6282] eta: 0:01:06 time: 0.0469 data_time: 0.0046 memory: 732 2022/12/03 21:33:04 - mmengine - INFO - Epoch(val) [8][4880/6282] eta: 0:01:05 time: 0.0485 data_time: 0.0049 memory: 732 2022/12/03 21:33:05 - mmengine - INFO - Epoch(val) [8][4900/6282] eta: 0:01:04 time: 0.0479 data_time: 0.0046 memory: 732 2022/12/03 21:33:06 - mmengine - INFO - Epoch(val) [8][4920/6282] eta: 0:01:03 time: 0.0478 data_time: 0.0050 memory: 735 2022/12/03 21:33:06 - mmengine - INFO - Epoch(val) [8][4940/6282] eta: 0:01:02 time: 0.0458 data_time: 0.0050 memory: 735 2022/12/03 21:33:07 - mmengine - INFO - Epoch(val) [8][4960/6282] eta: 0:01:01 time: 0.0463 data_time: 0.0050 memory: 735 2022/12/03 21:33:08 - mmengine - INFO - Epoch(val) [8][4980/6282] eta: 0:01:00 time: 0.0471 data_time: 0.0047 memory: 735 2022/12/03 21:33:09 - mmengine - INFO - Epoch(val) [8][5000/6282] eta: 0:00:59 time: 0.0489 data_time: 0.0063 memory: 735 2022/12/03 21:33:10 - mmengine - INFO - Epoch(val) [8][5020/6282] eta: 0:00:58 time: 0.0448 data_time: 0.0060 memory: 735 2022/12/03 21:33:11 - mmengine - INFO - Epoch(val) [8][5040/6282] eta: 0:00:57 time: 0.0434 data_time: 0.0038 memory: 678 2022/12/03 21:33:12 - mmengine - INFO - Epoch(val) [8][5060/6282] eta: 0:00:56 time: 0.0447 data_time: 0.0062 memory: 678 2022/12/03 21:33:13 - mmengine - INFO - Epoch(val) [8][5080/6282] eta: 0:00:55 time: 0.0424 data_time: 0.0044 memory: 678 2022/12/03 21:33:14 - mmengine - INFO - Epoch(val) [8][5100/6282] eta: 0:00:54 time: 0.0440 data_time: 0.0059 memory: 678 2022/12/03 21:33:15 - mmengine - INFO - Epoch(val) [8][5120/6282] eta: 0:00:53 time: 0.0442 data_time: 0.0045 memory: 678 2022/12/03 21:33:15 - mmengine - INFO - Epoch(val) [8][5140/6282] eta: 0:00:52 time: 0.0425 data_time: 0.0057 memory: 674 2022/12/03 21:33:16 - mmengine - INFO - Epoch(val) [8][5160/6282] eta: 0:00:52 time: 0.0416 data_time: 0.0047 memory: 674 2022/12/03 21:33:17 - mmengine - INFO - Epoch(val) [8][5180/6282] eta: 0:00:51 time: 0.0421 data_time: 0.0049 memory: 674 2022/12/03 21:33:18 - mmengine - INFO - Epoch(val) [8][5200/6282] eta: 0:00:50 time: 0.0393 data_time: 0.0038 memory: 674 2022/12/03 21:33:19 - mmengine - INFO - Epoch(val) 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0:00:41 time: 0.0410 data_time: 0.0042 memory: 674 2022/12/03 21:33:26 - mmengine - INFO - Epoch(val) [8][5400/6282] eta: 0:00:40 time: 0.0406 data_time: 0.0054 memory: 674 2022/12/03 21:33:27 - mmengine - INFO - Epoch(val) [8][5420/6282] eta: 0:00:39 time: 0.0382 data_time: 0.0038 memory: 674 2022/12/03 21:33:28 - mmengine - INFO - Epoch(val) [8][5440/6282] eta: 0:00:38 time: 0.0412 data_time: 0.0048 memory: 674 2022/12/03 21:33:29 - mmengine - INFO - Epoch(val) [8][5460/6282] eta: 0:00:37 time: 0.0402 data_time: 0.0045 memory: 674 2022/12/03 21:33:30 - mmengine - INFO - Epoch(val) [8][5480/6282] eta: 0:00:36 time: 0.0430 data_time: 0.0060 memory: 674 2022/12/03 21:33:31 - mmengine - INFO - Epoch(val) [8][5500/6282] eta: 0:00:36 time: 0.0420 data_time: 0.0069 memory: 674 2022/12/03 21:33:31 - mmengine - INFO - Epoch(val) [8][5520/6282] eta: 0:00:35 time: 0.0414 data_time: 0.0053 memory: 694 2022/12/03 21:33:32 - mmengine - INFO - Epoch(val) [8][5540/6282] eta: 0:00:34 time: 0.0442 data_time: 0.0054 memory: 694 2022/12/03 21:33:33 - mmengine - INFO - Epoch(val) [8][5560/6282] eta: 0:00:33 time: 0.0449 data_time: 0.0055 memory: 694 2022/12/03 21:33:34 - mmengine - INFO - Epoch(val) [8][5580/6282] eta: 0:00:32 time: 0.0439 data_time: 0.0045 memory: 694 2022/12/03 21:33:35 - mmengine - INFO - Epoch(val) [8][5600/6282] eta: 0:00:31 time: 0.0432 data_time: 0.0043 memory: 694 2022/12/03 21:33:36 - mmengine - INFO - Epoch(val) [8][5620/6282] eta: 0:00:30 time: 0.0457 data_time: 0.0054 memory: 694 2022/12/03 21:33:37 - mmengine - INFO - Epoch(val) [8][5640/6282] eta: 0:00:29 time: 0.0400 data_time: 0.0050 memory: 674 2022/12/03 21:33:37 - mmengine - INFO - Epoch(val) [8][5660/6282] eta: 0:00:28 time: 0.0381 data_time: 0.0035 memory: 674 2022/12/03 21:33:38 - mmengine - INFO - Epoch(val) [8][5680/6282] eta: 0:00:27 time: 0.0406 data_time: 0.0052 memory: 674 2022/12/03 21:33:39 - mmengine - INFO - Epoch(val) [8][5700/6282] eta: 0:00:26 time: 0.0411 data_time: 0.0052 memory: 674 2022/12/03 21:33:40 - mmengine - INFO - Epoch(val) [8][5720/6282] eta: 0:00:25 time: 0.0409 data_time: 0.0052 memory: 707 2022/12/03 21:33:41 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:24 time: 0.0440 data_time: 0.0057 memory: 707 2022/12/03 21:33:42 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:23 time: 0.0432 data_time: 0.0064 memory: 707 2022/12/03 21:33:43 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:23 time: 0.0481 data_time: 0.0060 memory: 707 2022/12/03 21:33:44 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:22 time: 0.0466 data_time: 0.0045 memory: 707 2022/12/03 21:33:44 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:21 time: 0.0452 data_time: 0.0059 memory: 707 2022/12/03 21:33:45 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:20 time: 0.0411 data_time: 0.0045 memory: 694 2022/12/03 21:33:46 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:19 time: 0.0396 data_time: 0.0040 memory: 694 2022/12/03 21:33:47 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:18 time: 0.0413 data_time: 0.0052 memory: 694 2022/12/03 21:33:48 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:17 time: 0.0403 data_time: 0.0039 memory: 694 2022/12/03 21:33:49 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:16 time: 0.0374 data_time: 0.0037 memory: 694 2022/12/03 21:33:49 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:15 time: 0.0343 data_time: 0.0035 memory: 674 2022/12/03 21:33:50 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:14 time: 0.0297 data_time: 0.0019 memory: 674 2022/12/03 21:33:50 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:13 time: 0.0283 data_time: 0.0018 memory: 674 2022/12/03 21:33:51 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:12 time: 0.0328 data_time: 0.0019 memory: 732 2022/12/03 21:33:52 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:11 time: 0.0335 data_time: 0.0019 memory: 732 2022/12/03 21:33:52 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:11 time: 0.0339 data_time: 0.0020 memory: 732 2022/12/03 21:33:53 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:10 time: 0.0335 data_time: 0.0019 memory: 732 2022/12/03 21:33:54 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:00:09 time: 0.0338 data_time: 0.0020 memory: 732 2022/12/03 21:33:54 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:08 time: 0.0337 data_time: 0.0018 memory: 732 2022/12/03 21:33:55 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:07 time: 0.0336 data_time: 0.0019 memory: 732 2022/12/03 21:33:56 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:06 time: 0.0332 data_time: 0.0018 memory: 732 2022/12/03 21:33:56 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:05 time: 0.0330 data_time: 0.0018 memory: 732 2022/12/03 21:33:57 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:04 time: 0.0333 data_time: 0.0017 memory: 732 2022/12/03 21:33:58 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:03 time: 0.0329 data_time: 0.0017 memory: 732 2022/12/03 21:33:58 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:02 time: 0.0330 data_time: 0.0018 memory: 732 2022/12/03 21:33:59 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:01 time: 0.0324 data_time: 0.0015 memory: 732 2022/12/03 21:34:00 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:00 time: 0.0322 data_time: 0.0015 memory: 732 2022/12/03 21:34:00 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0321 data_time: 0.0014 memory: 732 2022/12/03 21:37:21 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.2783 2022/12/03 21:37:21 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2022/12/03 21:37:24 - mmengine - INFO - The best checkpoint with 0.2783 mAP/mAP@0.5IOU at 8 epoch is saved to best_mAP/mAP@0.5IOU_epoch_8.pth. 2022/12/03 21:37:30 - mmengine - INFO - Epoch(train) [9][ 20/4451] lr: 1.4585e-02 eta: 0:47:26 time: 0.3341 data_time: 0.0268 memory: 8510 grad_norm: 0.1918 loss: 0.0373 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.5385 recall@top3: 0.7692 prec@top3: 0.5128 recall@top5: 0.8846 prec@top5: 0.3692 loss_action_cls: 0.0373 2022/12/03 21:37:37 - mmengine - INFO - Epoch(train) [9][ 40/4451] lr: 1.4523e-02 eta: 0:47:19 time: 0.3208 data_time: 0.0111 memory: 8510 grad_norm: 0.1953 loss: 0.0389 recall@thr=0.5: 0.5799 prec@thr=0.5: 0.6444 recall@top3: 0.6701 prec@top3: 0.6944 recall@top5: 0.8542 prec@top5: 0.5417 loss_action_cls: 0.0389 2022/12/03 21:37:43 - mmengine - INFO - Epoch(train) [9][ 60/4451] lr: 1.4461e-02 eta: 0:47:13 time: 0.3196 data_time: 0.0114 memory: 8510 grad_norm: 0.1971 loss: 0.0328 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.6667 recall@top3: 0.7424 prec@top3: 0.5455 recall@top5: 0.9091 prec@top5: 0.3909 loss_action_cls: 0.0328 2022/12/03 21:37:49 - mmengine - INFO - Epoch(train) [9][ 80/4451] lr: 1.4399e-02 eta: 0:47:07 time: 0.3206 data_time: 0.0103 memory: 8510 grad_norm: 0.1914 loss: 0.0374 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.7781 recall@top3: 0.8026 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4947 loss_action_cls: 0.0374 2022/12/03 21:37:56 - mmengine - INFO - Epoch(train) [9][ 100/4451] lr: 1.4337e-02 eta: 0:47:00 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1937 loss: 0.0411 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7059 recall@top3: 0.7549 prec@top3: 0.5294 recall@top5: 0.8922 prec@top5: 0.3529 loss_action_cls: 0.0411 2022/12/03 21:38:02 - mmengine - INFO - Epoch(train) [9][ 120/4451] lr: 1.4275e-02 eta: 0:46:54 time: 0.3204 data_time: 0.0111 memory: 8510 grad_norm: 0.1919 loss: 0.0343 recall@thr=0.5: 0.4912 prec@thr=0.5: 0.6842 recall@top3: 0.7456 prec@top3: 0.5088 recall@top5: 0.8158 prec@top5: 0.3474 loss_action_cls: 0.0343 2022/12/03 21:38:09 - mmengine - INFO - Epoch(train) [9][ 140/4451] lr: 1.4214e-02 eta: 0:46:47 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1941 loss: 0.0369 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.9318 recall@top3: 0.7955 prec@top3: 0.7576 recall@top5: 0.9167 prec@top5: 0.5182 loss_action_cls: 0.0369 2022/12/03 21:38:15 - mmengine - INFO - Epoch(train) [9][ 160/4451] lr: 1.4152e-02 eta: 0:46:41 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.1903 loss: 0.0339 recall@thr=0.5: 0.8144 prec@thr=0.5: 0.9318 recall@top3: 0.8977 prec@top3: 0.6515 recall@top5: 0.9583 prec@top5: 0.4273 loss_action_cls: 0.0339 2022/12/03 21:38:21 - mmengine - INFO - Epoch(train) [9][ 180/4451] lr: 1.4091e-02 eta: 0:46:35 time: 0.3204 data_time: 0.0106 memory: 8510 grad_norm: 0.2005 loss: 0.0376 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7615 recall@top3: 0.8077 prec@top3: 0.6282 recall@top5: 0.9679 prec@top5: 0.4692 loss_action_cls: 0.0376 2022/12/03 21:38:28 - mmengine - INFO - Epoch(train) [9][ 200/4451] lr: 1.4029e-02 eta: 0:46:28 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.2032 loss: 0.0301 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.6759 recall@top3: 0.8426 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0301 2022/12/03 21:38:34 - mmengine - INFO - Epoch(train) [9][ 220/4451] lr: 1.3968e-02 eta: 0:46:22 time: 0.3216 data_time: 0.0109 memory: 8510 grad_norm: 0.1916 loss: 0.0406 recall@thr=0.5: 0.6952 prec@thr=0.5: 0.6905 recall@top3: 0.9333 prec@top3: 0.6429 recall@top5: 0.9619 prec@top5: 0.4143 loss_action_cls: 0.0406 2022/12/03 21:38:41 - mmengine - INFO - Epoch(train) [9][ 240/4451] lr: 1.3907e-02 eta: 0:46:15 time: 0.3219 data_time: 0.0118 memory: 8510 grad_norm: 0.1985 loss: 0.0378 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7222 recall@top3: 0.9167 prec@top3: 0.5370 recall@top5: 0.9444 prec@top5: 0.3333 loss_action_cls: 0.0378 2022/12/03 21:38:47 - mmengine - INFO - Epoch(train) [9][ 260/4451] lr: 1.3846e-02 eta: 0:46:09 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1942 loss: 0.0365 recall@thr=0.5: 0.5587 prec@thr=0.5: 0.6984 recall@top3: 0.7913 prec@top3: 0.6508 recall@top5: 0.8659 prec@top5: 0.4476 loss_action_cls: 0.0365 2022/12/03 21:38:54 - mmengine - INFO - Epoch(train) [9][ 280/4451] lr: 1.3785e-02 eta: 0:46:03 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.1983 loss: 0.0343 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8333 recall@top3: 0.9000 prec@top3: 0.4167 recall@top5: 0.9250 prec@top5: 0.2600 loss_action_cls: 0.0343 2022/12/03 21:39:00 - mmengine - INFO - Epoch(train) [9][ 300/4451] lr: 1.3724e-02 eta: 0:45:56 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1958 loss: 0.0349 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7121 recall@top3: 0.7273 prec@top3: 0.6212 recall@top5: 0.9091 prec@top5: 0.4636 loss_action_cls: 0.0349 2022/12/03 21:39:06 - mmengine - INFO - Epoch(train) [9][ 320/4451] lr: 1.3664e-02 eta: 0:45:50 time: 0.3199 data_time: 0.0100 memory: 8510 grad_norm: 0.2037 loss: 0.0376 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7667 recall@top3: 0.7750 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.5100 loss_action_cls: 0.0376 2022/12/03 21:39:13 - mmengine - INFO - Epoch(train) [9][ 340/4451] lr: 1.3603e-02 eta: 0:45:43 time: 0.3210 data_time: 0.0097 memory: 8510 grad_norm: 0.2060 loss: 0.0364 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7255 recall@top3: 0.7941 prec@top3: 0.6078 recall@top5: 0.9412 prec@top5: 0.4353 loss_action_cls: 0.0364 2022/12/03 21:39:19 - mmengine - INFO - Epoch(train) [9][ 360/4451] lr: 1.3543e-02 eta: 0:45:37 time: 0.3201 data_time: 0.0110 memory: 8510 grad_norm: 0.1941 loss: 0.0367 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8472 recall@top3: 0.8843 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0367 2022/12/03 21:39:26 - mmengine - INFO - Epoch(train) [9][ 380/4451] lr: 1.3482e-02 eta: 0:45:30 time: 0.3218 data_time: 0.0099 memory: 8510 grad_norm: 0.2033 loss: 0.0393 recall@thr=0.5: 0.6620 prec@thr=0.5: 0.7685 recall@top3: 0.8148 prec@top3: 0.6111 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0393 2022/12/03 21:39:30 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:39:32 - mmengine - INFO - Epoch(train) [9][ 400/4451] lr: 1.3422e-02 eta: 0:45:24 time: 0.3205 data_time: 0.0103 memory: 8510 grad_norm: 0.1993 loss: 0.0345 recall@thr=0.5: 0.7901 prec@thr=0.5: 0.8611 recall@top3: 0.8302 prec@top3: 0.8272 recall@top5: 0.9753 prec@top5: 0.5926 loss_action_cls: 0.0345 2022/12/03 21:39:39 - mmengine - INFO - Epoch(train) [9][ 420/4451] lr: 1.3362e-02 eta: 0:45:18 time: 0.3278 data_time: 0.0106 memory: 8510 grad_norm: 0.2013 loss: 0.0371 recall@thr=0.5: 0.6361 prec@thr=0.5: 0.6778 recall@top3: 0.8750 prec@top3: 0.7778 recall@top5: 0.9833 prec@top5: 0.5400 loss_action_cls: 0.0371 2022/12/03 21:39:45 - mmengine - INFO - Epoch(train) [9][ 440/4451] lr: 1.3302e-02 eta: 0:45:11 time: 0.3207 data_time: 0.0106 memory: 8510 grad_norm: 0.1911 loss: 0.0353 recall@thr=0.5: 0.6868 prec@thr=0.5: 0.9000 recall@top3: 0.8196 prec@top3: 0.5490 recall@top5: 0.9662 prec@top5: 0.4118 loss_action_cls: 0.0353 2022/12/03 21:39:52 - mmengine - INFO - Epoch(train) [9][ 460/4451] lr: 1.3242e-02 eta: 0:45:05 time: 0.3206 data_time: 0.0098 memory: 8510 grad_norm: 0.1967 loss: 0.0398 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8208 recall@top3: 0.8333 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0398 2022/12/03 21:39:58 - mmengine - INFO - Epoch(train) [9][ 480/4451] lr: 1.3183e-02 eta: 0:44:58 time: 0.3201 data_time: 0.0097 memory: 8510 grad_norm: 0.1910 loss: 0.0368 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7982 recall@top3: 0.8684 prec@top3: 0.7193 recall@top5: 0.9649 prec@top5: 0.4947 loss_action_cls: 0.0368 2022/12/03 21:40:04 - mmengine - INFO - Epoch(train) [9][ 500/4451] lr: 1.3123e-02 eta: 0:44:52 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.1976 loss: 0.0415 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.8542 recall@top3: 0.7882 prec@top3: 0.7222 recall@top5: 0.9028 prec@top5: 0.5000 loss_action_cls: 0.0415 2022/12/03 21:40:11 - mmengine - INFO - Epoch(train) [9][ 520/4451] lr: 1.3063e-02 eta: 0:44:46 time: 0.3200 data_time: 0.0099 memory: 8510 grad_norm: 0.1920 loss: 0.0425 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6930 recall@top3: 0.7632 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.4211 loss_action_cls: 0.0425 2022/12/03 21:40:17 - mmengine - INFO - Epoch(train) [9][ 540/4451] lr: 1.3004e-02 eta: 0:44:39 time: 0.3214 data_time: 0.0108 memory: 8510 grad_norm: 0.1986 loss: 0.0317 recall@thr=0.5: 0.8600 prec@thr=0.5: 0.9440 recall@top3: 0.8933 prec@top3: 0.8000 recall@top5: 0.9800 prec@top5: 0.5360 loss_action_cls: 0.0317 2022/12/03 21:40:24 - mmengine - INFO - Epoch(train) [9][ 560/4451] lr: 1.2945e-02 eta: 0:44:33 time: 0.3216 data_time: 0.0127 memory: 8510 grad_norm: 0.2006 loss: 0.0355 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.6667 recall@top3: 0.8627 prec@top3: 0.6471 recall@top5: 0.9510 prec@top5: 0.4235 loss_action_cls: 0.0355 2022/12/03 21:40:30 - mmengine - INFO - Epoch(train) [9][ 580/4451] lr: 1.2885e-02 eta: 0:44:26 time: 0.3212 data_time: 0.0107 memory: 8510 grad_norm: 0.1946 loss: 0.0325 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.6889 recall@top3: 0.8667 prec@top3: 0.5778 recall@top5: 0.9778 prec@top5: 0.4000 loss_action_cls: 0.0325 2022/12/03 21:40:36 - mmengine - INFO - Epoch(train) [9][ 600/4451] lr: 1.2826e-02 eta: 0:44:20 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.2018 loss: 0.0357 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.8333 recall@top3: 0.8611 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0357 2022/12/03 21:40:43 - mmengine - INFO - Epoch(train) [9][ 620/4451] lr: 1.2767e-02 eta: 0:44:14 time: 0.3202 data_time: 0.0106 memory: 8510 grad_norm: 0.2024 loss: 0.0383 recall@thr=0.5: 0.6012 prec@thr=0.5: 0.6369 recall@top3: 0.7917 prec@top3: 0.5238 recall@top5: 0.8810 prec@top5: 0.3714 loss_action_cls: 0.0383 2022/12/03 21:40:49 - mmengine - INFO - Epoch(train) [9][ 640/4451] lr: 1.2709e-02 eta: 0:44:07 time: 0.3198 data_time: 0.0110 memory: 8510 grad_norm: 0.1958 loss: 0.0360 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.9280 recall@top3: 0.8939 prec@top3: 0.8485 recall@top5: 0.9545 prec@top5: 0.5545 loss_action_cls: 0.0360 2022/12/03 21:40:56 - mmengine - INFO - Epoch(train) [9][ 660/4451] lr: 1.2650e-02 eta: 0:44:01 time: 0.3225 data_time: 0.0103 memory: 8510 grad_norm: 0.1889 loss: 0.0351 recall@thr=0.5: 0.7175 prec@thr=0.5: 0.8000 recall@top3: 0.7308 prec@top3: 0.6500 recall@top5: 0.9542 prec@top5: 0.5300 loss_action_cls: 0.0351 2022/12/03 21:41:02 - mmengine - INFO - Epoch(train) [9][ 680/4451] lr: 1.2591e-02 eta: 0:43:54 time: 0.3209 data_time: 0.0110 memory: 8510 grad_norm: 0.1953 loss: 0.0400 recall@thr=0.5: 0.6710 prec@thr=0.5: 0.8768 recall@top3: 0.7362 prec@top3: 0.7536 recall@top5: 0.7957 prec@top5: 0.5130 loss_action_cls: 0.0400 2022/12/03 21:41:09 - mmengine - INFO - Epoch(train) [9][ 700/4451] lr: 1.2533e-02 eta: 0:43:48 time: 0.3203 data_time: 0.0103 memory: 8510 grad_norm: 0.1987 loss: 0.0368 recall@thr=0.5: 0.6152 prec@thr=0.5: 0.7500 recall@top3: 0.8424 prec@top3: 0.6212 recall@top5: 0.9364 prec@top5: 0.4273 loss_action_cls: 0.0368 2022/12/03 21:41:15 - mmengine - INFO - Epoch(train) [9][ 720/4451] lr: 1.2474e-02 eta: 0:43:42 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.2024 loss: 0.0358 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.8529 recall@top3: 0.8824 prec@top3: 0.6078 recall@top5: 0.9118 prec@top5: 0.3882 loss_action_cls: 0.0358 2022/12/03 21:41:21 - mmengine - INFO - Epoch(train) [9][ 740/4451] lr: 1.2416e-02 eta: 0:43:35 time: 0.3204 data_time: 0.0116 memory: 8510 grad_norm: 0.2001 loss: 0.0379 recall@thr=0.5: 0.6647 prec@thr=0.5: 0.7033 recall@top3: 0.7987 prec@top3: 0.6133 recall@top5: 0.9340 prec@top5: 0.4640 loss_action_cls: 0.0379 2022/12/03 21:41:28 - mmengine - INFO - Epoch(train) [9][ 760/4451] lr: 1.2358e-02 eta: 0:43:29 time: 0.3219 data_time: 0.0109 memory: 8510 grad_norm: 0.1984 loss: 0.0336 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9583 recall@top3: 1.0000 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0336 2022/12/03 21:41:34 - mmengine - INFO - Epoch(train) [9][ 780/4451] lr: 1.2300e-02 eta: 0:43:22 time: 0.3214 data_time: 0.0111 memory: 8510 grad_norm: 0.1962 loss: 0.0381 recall@thr=0.5: 0.5681 prec@thr=0.5: 0.6806 recall@top3: 0.6965 prec@top3: 0.6667 recall@top5: 0.8944 prec@top5: 0.5250 loss_action_cls: 0.0381 2022/12/03 21:41:41 - mmengine - INFO - Epoch(train) [9][ 800/4451] lr: 1.2242e-02 eta: 0:43:16 time: 0.3197 data_time: 0.0109 memory: 8510 grad_norm: 0.1989 loss: 0.0363 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7028 recall@top3: 0.6667 prec@top3: 0.5741 recall@top5: 0.8796 prec@top5: 0.4889 loss_action_cls: 0.0363 2022/12/03 21:41:47 - mmengine - INFO - Epoch(train) [9][ 820/4451] lr: 1.2184e-02 eta: 0:43:10 time: 0.3204 data_time: 0.0094 memory: 8510 grad_norm: 0.1979 loss: 0.0415 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.7143 recall@top3: 0.7937 prec@top3: 0.4444 recall@top5: 0.8571 prec@top5: 0.3048 loss_action_cls: 0.0415 2022/12/03 21:41:53 - mmengine - INFO - Epoch(train) [9][ 840/4451] lr: 1.2127e-02 eta: 0:43:03 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1892 loss: 0.0372 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.6538 recall@top3: 0.8365 prec@top3: 0.5000 recall@top5: 0.9615 prec@top5: 0.3615 loss_action_cls: 0.0372 2022/12/03 21:42:00 - mmengine - INFO - Epoch(train) [9][ 860/4451] lr: 1.2069e-02 eta: 0:42:57 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.1976 loss: 0.0339 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8000 recall@top3: 0.7000 prec@top3: 0.6444 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0339 2022/12/03 21:42:06 - mmengine - INFO - Epoch(train) [9][ 880/4451] lr: 1.2012e-02 eta: 0:42:50 time: 0.3209 data_time: 0.0102 memory: 8510 grad_norm: 0.1979 loss: 0.0381 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.7733 recall@top3: 0.7867 prec@top3: 0.6267 recall@top5: 0.8000 prec@top5: 0.3840 loss_action_cls: 0.0381 2022/12/03 21:42:13 - mmengine - INFO - Epoch(train) [9][ 900/4451] lr: 1.1955e-02 eta: 0:42:44 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.2016 loss: 0.0359 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6818 recall@top3: 0.7727 prec@top3: 0.5606 recall@top5: 0.8598 prec@top5: 0.3909 loss_action_cls: 0.0359 2022/12/03 21:42:19 - mmengine - INFO - Epoch(train) [9][ 920/4451] lr: 1.1897e-02 eta: 0:42:37 time: 0.3211 data_time: 0.0106 memory: 8510 grad_norm: 0.2025 loss: 0.0418 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7353 recall@top3: 0.8529 prec@top3: 0.6078 recall@top5: 0.9608 prec@top5: 0.4235 loss_action_cls: 0.0418 2022/12/03 21:42:26 - mmengine - INFO - Epoch(train) [9][ 940/4451] lr: 1.1840e-02 eta: 0:42:31 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.2031 loss: 0.0342 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7667 recall@top3: 0.7267 prec@top3: 0.6000 recall@top5: 0.8750 prec@top5: 0.4500 loss_action_cls: 0.0342 2022/12/03 21:42:32 - mmengine - INFO - Epoch(train) [9][ 960/4451] lr: 1.1783e-02 eta: 0:42:25 time: 0.3202 data_time: 0.0107 memory: 8510 grad_norm: 0.2042 loss: 0.0387 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7549 recall@top3: 0.8824 prec@top3: 0.7059 recall@top5: 0.9804 prec@top5: 0.5176 loss_action_cls: 0.0387 2022/12/03 21:42:38 - mmengine - INFO - Epoch(train) [9][ 980/4451] lr: 1.1726e-02 eta: 0:42:18 time: 0.3212 data_time: 0.0107 memory: 8510 grad_norm: 0.2009 loss: 0.0409 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.8625 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0409 2022/12/03 21:42:45 - mmengine - INFO - Epoch(train) [9][1000/4451] lr: 1.1670e-02 eta: 0:42:12 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.2007 loss: 0.0417 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.7255 recall@top3: 0.9412 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0417 2022/12/03 21:42:51 - mmengine - INFO - Epoch(train) [9][1020/4451] lr: 1.1613e-02 eta: 0:42:05 time: 0.3198 data_time: 0.0104 memory: 8510 grad_norm: 0.2003 loss: 0.0381 recall@thr=0.5: 0.7615 prec@thr=0.5: 0.8103 recall@top3: 0.8287 prec@top3: 0.6552 recall@top5: 0.9046 prec@top5: 0.4345 loss_action_cls: 0.0381 2022/12/03 21:42:58 - mmengine - INFO - Epoch(train) [9][1040/4451] lr: 1.1557e-02 eta: 0:41:59 time: 0.3215 data_time: 0.0103 memory: 8510 grad_norm: 0.2019 loss: 0.0349 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.7037 recall@top3: 0.7130 prec@top3: 0.5556 recall@top5: 0.9074 prec@top5: 0.4333 loss_action_cls: 0.0349 2022/12/03 21:43:04 - mmengine - INFO - Epoch(train) [9][1060/4451] lr: 1.1500e-02 eta: 0:41:53 time: 0.3191 data_time: 0.0118 memory: 8510 grad_norm: 0.2087 loss: 0.0404 recall@thr=0.5: 0.4111 prec@thr=0.5: 0.4833 recall@top3: 0.7711 prec@top3: 0.5333 recall@top5: 0.9511 prec@top5: 0.4267 loss_action_cls: 0.0404 2022/12/03 21:43:10 - mmengine - INFO - Epoch(train) [9][1080/4451] lr: 1.1444e-02 eta: 0:41:46 time: 0.3214 data_time: 0.0100 memory: 8510 grad_norm: 0.2028 loss: 0.0364 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8571 recall@top3: 0.7381 prec@top3: 0.7143 recall@top5: 0.9643 prec@top5: 0.5571 loss_action_cls: 0.0364 2022/12/03 21:43:17 - mmengine - INFO - Epoch(train) [9][1100/4451] lr: 1.1388e-02 eta: 0:41:40 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.2033 loss: 0.0373 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.6667 recall@top3: 0.9474 prec@top3: 0.7018 recall@top5: 0.9868 prec@top5: 0.4526 loss_action_cls: 0.0373 2022/12/03 21:43:23 - mmengine - INFO - Epoch(train) [9][1120/4451] lr: 1.1332e-02 eta: 0:41:33 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.2006 loss: 0.0392 recall@thr=0.5: 0.5298 prec@thr=0.5: 0.6012 recall@top3: 0.7113 prec@top3: 0.5595 recall@top5: 0.8274 prec@top5: 0.4000 loss_action_cls: 0.0392 2022/12/03 21:43:30 - mmengine - INFO - Epoch(train) [9][1140/4451] lr: 1.1276e-02 eta: 0:41:27 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.2024 loss: 0.0380 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8158 recall@top3: 0.8509 prec@top3: 0.5263 recall@top5: 0.9386 prec@top5: 0.3684 loss_action_cls: 0.0380 2022/12/03 21:43:36 - mmengine - INFO - Epoch(train) [9][1160/4451] lr: 1.1220e-02 eta: 0:41:21 time: 0.3201 data_time: 0.0109 memory: 8510 grad_norm: 0.2003 loss: 0.0426 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.6373 recall@top3: 0.7353 prec@top3: 0.4118 recall@top5: 0.7941 prec@top5: 0.2706 loss_action_cls: 0.0426 2022/12/03 21:43:43 - mmengine - INFO - Epoch(train) [9][1180/4451] lr: 1.1165e-02 eta: 0:41:14 time: 0.3213 data_time: 0.0116 memory: 8510 grad_norm: 0.1985 loss: 0.0396 recall@thr=0.5: 0.3981 prec@thr=0.5: 0.5000 recall@top3: 0.6204 prec@top3: 0.5000 recall@top5: 0.7778 prec@top5: 0.3778 loss_action_cls: 0.0396 2022/12/03 21:43:49 - mmengine - INFO - Epoch(train) [9][1200/4451] lr: 1.1109e-02 eta: 0:41:08 time: 0.3226 data_time: 0.0122 memory: 8510 grad_norm: 0.1916 loss: 0.0360 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.9127 recall@top3: 0.9127 prec@top3: 0.8571 recall@top5: 1.0000 prec@top5: 0.5714 loss_action_cls: 0.0360 2022/12/03 21:43:55 - mmengine - INFO - Epoch(train) [9][1220/4451] lr: 1.1054e-02 eta: 0:41:01 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1964 loss: 0.0412 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.8578 recall@top3: 0.8627 prec@top3: 0.6176 recall@top5: 0.9559 prec@top5: 0.4235 loss_action_cls: 0.0412 2022/12/03 21:44:02 - mmengine - INFO - Epoch(train) [9][1240/4451] lr: 1.0999e-02 eta: 0:40:55 time: 0.3214 data_time: 0.0110 memory: 8510 grad_norm: 0.1950 loss: 0.0335 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7500 recall@top3: 0.7963 prec@top3: 0.6296 recall@top5: 0.8241 prec@top5: 0.4000 loss_action_cls: 0.0335 2022/12/03 21:44:08 - mmengine - INFO - Epoch(train) [9][1260/4451] lr: 1.0943e-02 eta: 0:40:49 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.2059 loss: 0.0381 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.7424 recall@top3: 0.8174 prec@top3: 0.6212 recall@top5: 0.9152 prec@top5: 0.4455 loss_action_cls: 0.0381 2022/12/03 21:44:15 - mmengine - INFO - Epoch(train) [9][1280/4451] lr: 1.0888e-02 eta: 0:40:42 time: 0.3227 data_time: 0.0100 memory: 8510 grad_norm: 0.1984 loss: 0.0423 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.8772 recall@top3: 0.8947 prec@top3: 0.7018 recall@top5: 0.9825 prec@top5: 0.4737 loss_action_cls: 0.0423 2022/12/03 21:44:21 - mmengine - INFO - Epoch(train) [9][1300/4451] lr: 1.0833e-02 eta: 0:40:36 time: 0.3216 data_time: 0.0115 memory: 8510 grad_norm: 0.2020 loss: 0.0358 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.6667 recall@top3: 0.9298 prec@top3: 0.5439 recall@top5: 0.9825 prec@top5: 0.3579 loss_action_cls: 0.0358 2022/12/03 21:44:28 - mmengine - INFO - Epoch(train) [9][1320/4451] lr: 1.0779e-02 eta: 0:40:29 time: 0.3212 data_time: 0.0098 memory: 8510 grad_norm: 0.1914 loss: 0.0375 recall@thr=0.5: 0.6098 prec@thr=0.5: 0.7614 recall@top3: 0.8182 prec@top3: 0.7121 recall@top5: 0.9091 prec@top5: 0.4818 loss_action_cls: 0.0375 2022/12/03 21:44:34 - mmengine - INFO - Epoch(train) [9][1340/4451] lr: 1.0724e-02 eta: 0:40:23 time: 0.3222 data_time: 0.0123 memory: 8510 grad_norm: 0.2058 loss: 0.0404 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.5000 recall@top3: 0.8542 prec@top3: 0.5208 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0404 2022/12/03 21:44:40 - mmengine - INFO - Epoch(train) [9][1360/4451] lr: 1.0670e-02 eta: 0:40:17 time: 0.3201 data_time: 0.0099 memory: 8510 grad_norm: 0.1973 loss: 0.0354 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.5926 recall@top3: 0.8056 prec@top3: 0.5185 recall@top5: 0.9630 prec@top5: 0.3778 loss_action_cls: 0.0354 2022/12/03 21:44:47 - mmengine - INFO - Epoch(train) [9][1380/4451] lr: 1.0615e-02 eta: 0:40:10 time: 0.3215 data_time: 0.0107 memory: 8510 grad_norm: 0.1943 loss: 0.0381 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.4583 recall@top3: 0.8167 prec@top3: 0.5667 recall@top5: 0.9292 prec@top5: 0.4000 loss_action_cls: 0.0381 2022/12/03 21:44:51 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:44:53 - mmengine - INFO - Epoch(train) [9][1400/4451] lr: 1.0561e-02 eta: 0:40:04 time: 0.3215 data_time: 0.0117 memory: 8510 grad_norm: 0.1944 loss: 0.0370 recall@thr=0.5: 0.7095 prec@thr=0.5: 0.6587 recall@top3: 0.8048 prec@top3: 0.5238 recall@top5: 0.8952 prec@top5: 0.3619 loss_action_cls: 0.0370 2022/12/03 21:45:00 - mmengine - INFO - Epoch(train) [9][1420/4451] lr: 1.0507e-02 eta: 0:39:57 time: 0.3198 data_time: 0.0103 memory: 8510 grad_norm: 0.1982 loss: 0.0382 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.7690 recall@top3: 0.8452 prec@top3: 0.5476 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0382 2022/12/03 21:45:06 - mmengine - INFO - Epoch(train) [9][1440/4451] lr: 1.0453e-02 eta: 0:39:51 time: 0.3204 data_time: 0.0104 memory: 8510 grad_norm: 0.2009 loss: 0.0373 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.7246 recall@top3: 0.8152 prec@top3: 0.6522 recall@top5: 1.0000 prec@top5: 0.4783 loss_action_cls: 0.0373 2022/12/03 21:45:13 - mmengine - INFO - Epoch(train) [9][1460/4451] lr: 1.0399e-02 eta: 0:39:44 time: 0.3202 data_time: 0.0106 memory: 8510 grad_norm: 0.2006 loss: 0.0356 recall@thr=0.5: 0.8849 prec@thr=0.5: 0.8690 recall@top3: 0.8532 prec@top3: 0.7460 recall@top5: 0.9246 prec@top5: 0.5048 loss_action_cls: 0.0356 2022/12/03 21:45:19 - mmengine - INFO - Epoch(train) [9][1480/4451] lr: 1.0345e-02 eta: 0:39:38 time: 0.3213 data_time: 0.0111 memory: 8510 grad_norm: 0.1967 loss: 0.0346 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8684 recall@top3: 0.9211 prec@top3: 0.7368 recall@top5: 0.9605 prec@top5: 0.4737 loss_action_cls: 0.0346 2022/12/03 21:45:25 - mmengine - INFO - Epoch(train) [9][1500/4451] lr: 1.0291e-02 eta: 0:39:32 time: 0.3214 data_time: 0.0112 memory: 8510 grad_norm: 0.2050 loss: 0.0383 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5920 recall@top3: 0.7299 prec@top3: 0.4943 recall@top5: 0.9080 prec@top5: 0.3655 loss_action_cls: 0.0383 2022/12/03 21:45:32 - mmengine - INFO - Epoch(train) [9][1520/4451] lr: 1.0238e-02 eta: 0:39:25 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.1978 loss: 0.0379 recall@thr=0.5: 0.5893 prec@thr=0.5: 0.7500 recall@top3: 0.8631 prec@top3: 0.7143 recall@top5: 0.9405 prec@top5: 0.4857 loss_action_cls: 0.0379 2022/12/03 21:45:38 - mmengine - INFO - Epoch(train) [9][1540/4451] lr: 1.0184e-02 eta: 0:39:19 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.1939 loss: 0.0378 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.8611 recall@top3: 0.8241 prec@top3: 0.7037 recall@top5: 0.9722 prec@top5: 0.5222 loss_action_cls: 0.0378 2022/12/03 21:45:45 - mmengine - INFO - Epoch(train) [9][1560/4451] lr: 1.0131e-02 eta: 0:39:12 time: 0.3220 data_time: 0.0097 memory: 8510 grad_norm: 0.2019 loss: 0.0366 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7778 recall@top3: 0.8981 prec@top3: 0.6296 recall@top5: 0.9630 prec@top5: 0.4111 loss_action_cls: 0.0366 2022/12/03 21:45:51 - mmengine - INFO - Epoch(train) [9][1580/4451] lr: 1.0078e-02 eta: 0:39:06 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.2035 loss: 0.0379 recall@thr=0.5: 0.6141 prec@thr=0.5: 0.6449 recall@top3: 0.6359 prec@top3: 0.4487 recall@top5: 0.8782 prec@top5: 0.3923 loss_action_cls: 0.0379 2022/12/03 21:45:58 - mmengine - INFO - Epoch(train) [9][1600/4451] lr: 1.0025e-02 eta: 0:39:00 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1925 loss: 0.0365 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7833 recall@top3: 0.8667 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0365 2022/12/03 21:46:04 - mmengine - INFO - Epoch(train) [9][1620/4451] lr: 9.9717e-03 eta: 0:38:53 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.1993 loss: 0.0348 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.5362 recall@top3: 0.9058 prec@top3: 0.5942 recall@top5: 0.9203 prec@top5: 0.3652 loss_action_cls: 0.0348 2022/12/03 21:46:10 - mmengine - INFO - Epoch(train) [9][1640/4451] lr: 9.9189e-03 eta: 0:38:47 time: 0.3214 data_time: 0.0100 memory: 8510 grad_norm: 0.2012 loss: 0.0372 recall@thr=0.5: 0.6695 prec@thr=0.5: 0.7989 recall@top3: 0.8190 prec@top3: 0.6552 recall@top5: 0.9138 prec@top5: 0.4483 loss_action_cls: 0.0372 2022/12/03 21:46:17 - mmengine - INFO - Epoch(train) [9][1660/4451] lr: 9.8662e-03 eta: 0:38:40 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.2060 loss: 0.0355 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6275 recall@top3: 0.7304 prec@top3: 0.6275 recall@top5: 0.8578 prec@top5: 0.4588 loss_action_cls: 0.0355 2022/12/03 21:46:23 - mmengine - INFO - Epoch(train) [9][1680/4451] lr: 9.8137e-03 eta: 0:38:34 time: 0.3218 data_time: 0.0113 memory: 8510 grad_norm: 0.1931 loss: 0.0359 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8917 recall@top3: 0.8125 prec@top3: 0.5833 recall@top5: 0.9042 prec@top5: 0.4200 loss_action_cls: 0.0359 2022/12/03 21:46:30 - mmengine - INFO - Epoch(train) [9][1700/4451] lr: 9.7613e-03 eta: 0:38:28 time: 0.3205 data_time: 0.0108 memory: 8510 grad_norm: 0.2013 loss: 0.0377 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.8125 prec@top3: 0.7222 recall@top5: 0.9583 prec@top5: 0.5167 loss_action_cls: 0.0377 2022/12/03 21:46:36 - mmengine - INFO - Epoch(train) [9][1720/4451] lr: 9.7089e-03 eta: 0:38:21 time: 0.3202 data_time: 0.0113 memory: 8510 grad_norm: 0.1947 loss: 0.0347 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7593 recall@top3: 0.8148 prec@top3: 0.6481 recall@top5: 0.8981 prec@top5: 0.4444 loss_action_cls: 0.0347 2022/12/03 21:46:42 - mmengine - INFO - Epoch(train) [9][1740/4451] lr: 9.6568e-03 eta: 0:38:15 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1916 loss: 0.0409 recall@thr=0.5: 0.7220 prec@thr=0.5: 0.7640 recall@top3: 0.7087 prec@top3: 0.6800 recall@top5: 0.8753 prec@top5: 0.5280 loss_action_cls: 0.0409 2022/12/03 21:46:49 - mmengine - INFO - Epoch(train) [9][1760/4451] lr: 9.6047e-03 eta: 0:38:08 time: 0.3213 data_time: 0.0100 memory: 8510 grad_norm: 0.2081 loss: 0.0368 recall@thr=0.5: 0.4881 prec@thr=0.5: 0.6429 recall@top3: 0.7857 prec@top3: 0.5952 recall@top5: 0.8571 prec@top5: 0.4000 loss_action_cls: 0.0368 2022/12/03 21:46:55 - mmengine - INFO - Epoch(train) [9][1780/4451] lr: 9.5528e-03 eta: 0:38:02 time: 0.3206 data_time: 0.0099 memory: 8510 grad_norm: 0.2019 loss: 0.0361 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.7564 recall@top3: 0.8782 prec@top3: 0.6410 recall@top5: 0.9744 prec@top5: 0.4385 loss_action_cls: 0.0361 2022/12/03 21:47:02 - mmengine - INFO - Epoch(train) [9][1800/4451] lr: 9.5010e-03 eta: 0:37:56 time: 0.3212 data_time: 0.0099 memory: 8510 grad_norm: 0.2060 loss: 0.0383 recall@thr=0.5: 0.4778 prec@thr=0.5: 0.5889 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.7889 prec@top5: 0.4133 loss_action_cls: 0.0383 2022/12/03 21:47:08 - mmengine - INFO - Epoch(train) [9][1820/4451] lr: 9.4493e-03 eta: 0:37:49 time: 0.3212 data_time: 0.0118 memory: 8510 grad_norm: 0.1994 loss: 0.0377 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.8148 recall@top3: 0.8611 prec@top3: 0.5926 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0377 2022/12/03 21:47:15 - mmengine - INFO - Epoch(train) [9][1840/4451] lr: 9.3977e-03 eta: 0:37:43 time: 0.3219 data_time: 0.0099 memory: 8510 grad_norm: 0.2020 loss: 0.0382 recall@thr=0.5: 0.5806 prec@thr=0.5: 0.6000 recall@top3: 0.8306 prec@top3: 0.6333 recall@top5: 0.8972 prec@top5: 0.4267 loss_action_cls: 0.0382 2022/12/03 21:47:21 - mmengine - INFO - Epoch(train) [9][1860/4451] lr: 9.3463e-03 eta: 0:37:36 time: 0.3213 data_time: 0.0114 memory: 8510 grad_norm: 0.2008 loss: 0.0341 recall@thr=0.5: 0.8623 prec@thr=0.5: 0.7391 recall@top3: 0.9420 prec@top3: 0.5072 recall@top5: 1.0000 prec@top5: 0.3391 loss_action_cls: 0.0341 2022/12/03 21:47:27 - mmengine - INFO - Epoch(train) [9][1880/4451] lr: 9.2950e-03 eta: 0:37:30 time: 0.3196 data_time: 0.0100 memory: 8510 grad_norm: 0.2013 loss: 0.0406 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.7029 recall@top3: 0.8514 prec@top3: 0.6087 recall@top5: 0.8841 prec@top5: 0.3913 loss_action_cls: 0.0406 2022/12/03 21:47:34 - mmengine - INFO - Epoch(train) [9][1900/4451] lr: 9.2438e-03 eta: 0:37:24 time: 0.3203 data_time: 0.0104 memory: 8510 grad_norm: 0.2002 loss: 0.0369 recall@thr=0.5: 0.7614 prec@thr=0.5: 0.7576 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9621 prec@top5: 0.4455 loss_action_cls: 0.0369 2022/12/03 21:47:40 - mmengine - INFO - Epoch(train) [9][1920/4451] lr: 9.1928e-03 eta: 0:37:17 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.1930 loss: 0.0374 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.4683 recall@top3: 0.8810 prec@top3: 0.4444 recall@top5: 0.8810 prec@top5: 0.2667 loss_action_cls: 0.0374 2022/12/03 21:47:47 - mmengine - INFO - Epoch(train) [9][1940/4451] lr: 9.1419e-03 eta: 0:37:11 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.2054 loss: 0.0369 recall@thr=0.5: 0.6843 prec@thr=0.5: 0.7941 recall@top3: 0.8882 prec@top3: 0.6863 recall@top5: 0.9265 prec@top5: 0.4471 loss_action_cls: 0.0369 2022/12/03 21:47:53 - mmengine - INFO - Epoch(train) [9][1960/4451] lr: 9.0911e-03 eta: 0:37:04 time: 0.3210 data_time: 0.0105 memory: 8510 grad_norm: 0.1965 loss: 0.0340 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7255 recall@top3: 0.7059 prec@top3: 0.5098 recall@top5: 0.8824 prec@top5: 0.3647 loss_action_cls: 0.0340 2022/12/03 21:48:00 - mmengine - INFO - Epoch(train) [9][1980/4451] lr: 9.0404e-03 eta: 0:36:58 time: 0.3210 data_time: 0.0105 memory: 8510 grad_norm: 0.2047 loss: 0.0363 recall@thr=0.5: 0.6638 prec@thr=0.5: 0.6087 recall@top3: 0.7942 prec@top3: 0.6087 recall@top5: 0.8913 prec@top5: 0.4174 loss_action_cls: 0.0363 2022/12/03 21:48:06 - mmengine - INFO - Epoch(train) [9][2000/4451] lr: 8.9899e-03 eta: 0:36:51 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.2039 loss: 0.0408 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.7202 recall@top3: 0.6190 prec@top3: 0.5476 recall@top5: 0.7857 prec@top5: 0.4286 loss_action_cls: 0.0408 2022/12/03 21:48:12 - mmengine - INFO - Epoch(train) [9][2020/4451] lr: 8.9395e-03 eta: 0:36:45 time: 0.3215 data_time: 0.0108 memory: 8510 grad_norm: 0.1962 loss: 0.0370 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.6270 recall@top3: 0.8254 prec@top3: 0.6190 recall@top5: 0.8730 prec@top5: 0.3905 loss_action_cls: 0.0370 2022/12/03 21:48:19 - mmengine - INFO - Epoch(train) [9][2040/4451] lr: 8.8892e-03 eta: 0:36:39 time: 0.3207 data_time: 0.0101 memory: 8510 grad_norm: 0.1987 loss: 0.0345 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6053 recall@top3: 0.8070 prec@top3: 0.4912 recall@top5: 0.8728 prec@top5: 0.3263 loss_action_cls: 0.0345 2022/12/03 21:48:25 - mmengine - INFO - Epoch(train) [9][2060/4451] lr: 8.8391e-03 eta: 0:36:32 time: 0.3217 data_time: 0.0098 memory: 8510 grad_norm: 0.1947 loss: 0.0362 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8725 recall@top3: 0.8627 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0362 2022/12/03 21:48:32 - mmengine - INFO - Epoch(train) [9][2080/4451] lr: 8.7890e-03 eta: 0:36:26 time: 0.3203 data_time: 0.0105 memory: 8510 grad_norm: 0.2027 loss: 0.0358 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7417 recall@top3: 0.8917 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0358 2022/12/03 21:48:38 - mmengine - INFO - Epoch(train) [9][2100/4451] lr: 8.7391e-03 eta: 0:36:19 time: 0.3214 data_time: 0.0101 memory: 8510 grad_norm: 0.2046 loss: 0.0379 recall@thr=0.5: 0.5062 prec@thr=0.5: 0.6173 recall@top3: 0.7531 prec@top3: 0.5185 recall@top5: 0.9630 prec@top5: 0.4074 loss_action_cls: 0.0379 2022/12/03 21:48:44 - mmengine - INFO - Epoch(train) [9][2120/4451] lr: 8.6894e-03 eta: 0:36:13 time: 0.3204 data_time: 0.0113 memory: 8510 grad_norm: 0.1994 loss: 0.0401 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8182 recall@top3: 0.8295 prec@top3: 0.6061 recall@top5: 0.9091 prec@top5: 0.4182 loss_action_cls: 0.0401 2022/12/03 21:48:51 - mmengine - INFO - Epoch(train) [9][2140/4451] lr: 8.6397e-03 eta: 0:36:07 time: 0.3197 data_time: 0.0096 memory: 8510 grad_norm: 0.2007 loss: 0.0374 recall@thr=0.5: 0.6302 prec@thr=0.5: 0.8125 recall@top3: 0.8385 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0374 2022/12/03 21:48:57 - mmengine - INFO - Epoch(train) [9][2160/4451] lr: 8.5902e-03 eta: 0:36:00 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1970 loss: 0.0388 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8833 recall@top3: 0.8417 prec@top3: 0.5833 recall@top5: 0.9833 prec@top5: 0.4200 loss_action_cls: 0.0388 2022/12/03 21:49:04 - mmengine - INFO - Epoch(train) [9][2180/4451] lr: 8.5408e-03 eta: 0:35:54 time: 0.3221 data_time: 0.0098 memory: 8510 grad_norm: 0.1961 loss: 0.0406 recall@thr=0.5: 0.8382 prec@thr=0.5: 0.8775 recall@top3: 0.8529 prec@top3: 0.5490 recall@top5: 0.9706 prec@top5: 0.3882 loss_action_cls: 0.0406 2022/12/03 21:49:10 - mmengine - INFO - Epoch(train) [9][2200/4451] lr: 8.4916e-03 eta: 0:35:47 time: 0.3205 data_time: 0.0096 memory: 8510 grad_norm: 0.1972 loss: 0.0346 recall@thr=0.5: 0.9115 prec@thr=0.5: 0.8750 recall@top3: 0.9531 prec@top3: 0.6458 recall@top5: 0.9531 prec@top5: 0.3875 loss_action_cls: 0.0346 2022/12/03 21:49:17 - mmengine - INFO - Epoch(train) [9][2220/4451] lr: 8.4425e-03 eta: 0:35:41 time: 0.3210 data_time: 0.0106 memory: 8510 grad_norm: 0.2021 loss: 0.0383 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7045 recall@top3: 0.7727 prec@top3: 0.5455 recall@top5: 0.9394 prec@top5: 0.3909 loss_action_cls: 0.0383 2022/12/03 21:49:23 - mmengine - INFO - Epoch(train) [9][2240/4451] lr: 8.3935e-03 eta: 0:35:35 time: 0.3205 data_time: 0.0105 memory: 8510 grad_norm: 0.1974 loss: 0.0374 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.7424 recall@top3: 0.7727 prec@top3: 0.5758 recall@top5: 0.8636 prec@top5: 0.3636 loss_action_cls: 0.0374 2022/12/03 21:49:29 - mmengine - INFO - Epoch(train) [9][2260/4451] lr: 8.3446e-03 eta: 0:35:28 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.2026 loss: 0.0378 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.8529 recall@top3: 0.8588 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.4941 loss_action_cls: 0.0378 2022/12/03 21:49:36 - mmengine - INFO - Epoch(train) [9][2280/4451] lr: 8.2959e-03 eta: 0:35:22 time: 0.3207 data_time: 0.0116 memory: 8510 grad_norm: 0.2110 loss: 0.0368 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7083 recall@top3: 0.8667 prec@top3: 0.6167 recall@top5: 0.9833 prec@top5: 0.4300 loss_action_cls: 0.0368 2022/12/03 21:49:42 - mmengine - INFO - Epoch(train) [9][2300/4451] lr: 8.2473e-03 eta: 0:35:15 time: 0.3209 data_time: 0.0108 memory: 8510 grad_norm: 0.1967 loss: 0.0417 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.6944 recall@top3: 0.8056 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0417 2022/12/03 21:49:49 - mmengine - INFO - Epoch(train) [9][2320/4451] lr: 8.1988e-03 eta: 0:35:09 time: 0.3206 data_time: 0.0117 memory: 8510 grad_norm: 0.1963 loss: 0.0338 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.6053 recall@top3: 0.8860 prec@top3: 0.5614 recall@top5: 0.9298 prec@top5: 0.3684 loss_action_cls: 0.0338 2022/12/03 21:49:55 - mmengine - INFO - Epoch(train) [9][2340/4451] lr: 8.1504e-03 eta: 0:35:03 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.2047 loss: 0.0414 recall@thr=0.5: 0.5641 prec@thr=0.5: 0.5769 recall@top3: 0.8513 prec@top3: 0.4615 recall@top5: 0.8821 prec@top5: 0.3077 loss_action_cls: 0.0414 2022/12/03 21:50:02 - mmengine - INFO - Epoch(train) [9][2360/4451] lr: 8.1022e-03 eta: 0:34:56 time: 0.3210 data_time: 0.0098 memory: 8510 grad_norm: 0.1982 loss: 0.0395 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.6346 recall@top3: 0.8205 prec@top3: 0.4872 recall@top5: 0.8846 prec@top5: 0.3231 loss_action_cls: 0.0395 2022/12/03 21:50:08 - mmengine - INFO - Epoch(train) [9][2380/4451] lr: 8.0541e-03 eta: 0:34:50 time: 0.3199 data_time: 0.0098 memory: 8510 grad_norm: 0.1973 loss: 0.0374 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8958 recall@top3: 0.7583 prec@top3: 0.6167 recall@top5: 0.8750 prec@top5: 0.4400 loss_action_cls: 0.0374 2022/12/03 21:50:12 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:50:14 - mmengine - INFO - Epoch(train) [9][2400/4451] lr: 8.0062e-03 eta: 0:34:43 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.1987 loss: 0.0337 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7222 recall@top3: 0.8254 prec@top3: 0.5397 recall@top5: 0.9048 prec@top5: 0.3619 loss_action_cls: 0.0337 2022/12/03 21:50:21 - mmengine - INFO - Epoch(train) [9][2420/4451] lr: 7.9584e-03 eta: 0:34:37 time: 0.3206 data_time: 0.0107 memory: 8510 grad_norm: 0.2030 loss: 0.0328 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.8116 recall@top3: 0.8043 prec@top3: 0.6667 recall@top5: 0.9130 prec@top5: 0.4435 loss_action_cls: 0.0328 2022/12/03 21:50:27 - mmengine - INFO - Epoch(train) [9][2440/4451] lr: 7.9107e-03 eta: 0:34:30 time: 0.3216 data_time: 0.0101 memory: 8510 grad_norm: 0.2044 loss: 0.0389 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6458 recall@top3: 0.8750 prec@top3: 0.4167 recall@top5: 0.9375 prec@top5: 0.2750 loss_action_cls: 0.0389 2022/12/03 21:50:34 - mmengine - INFO - Epoch(train) [9][2460/4451] lr: 7.8631e-03 eta: 0:34:24 time: 0.3218 data_time: 0.0126 memory: 8510 grad_norm: 0.2076 loss: 0.0372 recall@thr=0.5: 0.7259 prec@thr=0.5: 0.7870 recall@top3: 0.8352 prec@top3: 0.7037 recall@top5: 0.9407 prec@top5: 0.5000 loss_action_cls: 0.0372 2022/12/03 21:50:40 - mmengine - INFO - Epoch(train) [9][2480/4451] lr: 7.8157e-03 eta: 0:34:18 time: 0.3213 data_time: 0.0091 memory: 8510 grad_norm: 0.1973 loss: 0.0375 recall@thr=0.5: 0.7097 prec@thr=0.5: 0.7419 recall@top3: 0.9140 prec@top3: 0.5914 recall@top5: 0.9301 prec@top5: 0.3613 loss_action_cls: 0.0375 2022/12/03 21:50:46 - mmengine - INFO - Epoch(train) [9][2500/4451] lr: 7.7684e-03 eta: 0:34:11 time: 0.3211 data_time: 0.0105 memory: 8510 grad_norm: 0.2017 loss: 0.0389 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.6750 recall@top3: 0.7667 prec@top3: 0.5833 recall@top5: 0.9250 prec@top5: 0.4300 loss_action_cls: 0.0389 2022/12/03 21:50:53 - mmengine - INFO - Epoch(train) [9][2520/4451] lr: 7.7212e-03 eta: 0:34:05 time: 0.3213 data_time: 0.0102 memory: 8510 grad_norm: 0.2009 loss: 0.0361 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9500 recall@top3: 0.9500 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4700 loss_action_cls: 0.0361 2022/12/03 21:50:59 - mmengine - INFO - Epoch(train) [9][2540/4451] lr: 7.6742e-03 eta: 0:33:58 time: 0.3203 data_time: 0.0107 memory: 8510 grad_norm: 0.1978 loss: 0.0356 recall@thr=0.5: 0.6823 prec@thr=0.5: 0.7292 recall@top3: 0.8073 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0356 2022/12/03 21:51:06 - mmengine - INFO - Epoch(train) [9][2560/4451] lr: 7.6273e-03 eta: 0:33:52 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.1940 loss: 0.0374 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.8478 recall@top3: 0.7790 prec@top3: 0.6957 recall@top5: 0.9275 prec@top5: 0.5043 loss_action_cls: 0.0374 2022/12/03 21:51:12 - mmengine - INFO - Epoch(train) [9][2580/4451] lr: 7.5805e-03 eta: 0:33:46 time: 0.3218 data_time: 0.0102 memory: 8510 grad_norm: 0.2004 loss: 0.0363 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6574 recall@top3: 0.7741 prec@top3: 0.5926 recall@top5: 0.8500 prec@top5: 0.4111 loss_action_cls: 0.0363 2022/12/03 21:51:19 - mmengine - INFO - Epoch(train) [9][2600/4451] lr: 7.5339e-03 eta: 0:33:39 time: 0.3216 data_time: 0.0103 memory: 8510 grad_norm: 0.2017 loss: 0.0372 recall@thr=0.5: 0.7902 prec@thr=0.5: 0.8563 recall@top3: 0.8276 prec@top3: 0.7011 recall@top5: 0.9310 prec@top5: 0.4897 loss_action_cls: 0.0372 2022/12/03 21:51:25 - mmengine - INFO - Epoch(train) [9][2620/4451] lr: 7.4874e-03 eta: 0:33:33 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1977 loss: 0.0367 recall@thr=0.5: 0.8371 prec@thr=0.5: 0.9167 recall@top3: 0.8409 prec@top3: 0.7424 recall@top5: 0.9242 prec@top5: 0.5000 loss_action_cls: 0.0367 2022/12/03 21:51:31 - mmengine - INFO - Epoch(train) [9][2640/4451] lr: 7.4410e-03 eta: 0:33:26 time: 0.3208 data_time: 0.0110 memory: 8510 grad_norm: 0.2092 loss: 0.0372 recall@thr=0.5: 0.5580 prec@thr=0.5: 0.6449 recall@top3: 0.7246 prec@top3: 0.4783 recall@top5: 0.8261 prec@top5: 0.3304 loss_action_cls: 0.0372 2022/12/03 21:51:38 - mmengine - INFO - Epoch(train) [9][2660/4451] lr: 7.3948e-03 eta: 0:33:20 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.2031 loss: 0.0396 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7840 recall@top3: 0.7531 prec@top3: 0.5556 recall@top5: 0.9321 prec@top5: 0.4296 loss_action_cls: 0.0396 2022/12/03 21:51:44 - mmengine - INFO - Epoch(train) [9][2680/4451] lr: 7.3486e-03 eta: 0:33:14 time: 0.3195 data_time: 0.0101 memory: 8510 grad_norm: 0.1988 loss: 0.0369 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8241 recall@top3: 0.7963 prec@top3: 0.7407 recall@top5: 0.8333 prec@top5: 0.4667 loss_action_cls: 0.0369 2022/12/03 21:51:51 - mmengine - INFO - Epoch(train) [9][2700/4451] lr: 7.3027e-03 eta: 0:33:07 time: 0.3217 data_time: 0.0108 memory: 8510 grad_norm: 0.2025 loss: 0.0371 recall@thr=0.5: 0.8553 prec@thr=0.5: 0.8026 recall@top3: 0.8860 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0371 2022/12/03 21:51:57 - mmengine - INFO - Epoch(train) [9][2720/4451] lr: 7.2568e-03 eta: 0:33:01 time: 0.3207 data_time: 0.0106 memory: 8510 grad_norm: 0.2074 loss: 0.0382 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8235 recall@top3: 0.8235 prec@top3: 0.6863 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0382 2022/12/03 21:52:04 - mmengine - INFO - Epoch(train) [9][2740/4451] lr: 7.2111e-03 eta: 0:32:54 time: 0.3202 data_time: 0.0111 memory: 8510 grad_norm: 0.1928 loss: 0.0375 recall@thr=0.5: 0.5404 prec@thr=0.5: 0.4808 recall@top3: 0.7449 prec@top3: 0.5152 recall@top5: 0.8687 prec@top5: 0.3879 loss_action_cls: 0.0375 2022/12/03 21:52:10 - mmengine - INFO - Epoch(train) [9][2760/4451] lr: 7.1655e-03 eta: 0:32:48 time: 0.3215 data_time: 0.0099 memory: 8510 grad_norm: 0.2033 loss: 0.0379 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7833 recall@top3: 0.9250 prec@top3: 0.7833 recall@top5: 0.9667 prec@top5: 0.4900 loss_action_cls: 0.0379 2022/12/03 21:52:16 - mmengine - INFO - Epoch(train) [9][2780/4451] lr: 7.1201e-03 eta: 0:32:42 time: 0.3215 data_time: 0.0103 memory: 8510 grad_norm: 0.1921 loss: 0.0358 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8300 recall@top3: 0.9458 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0358 2022/12/03 21:52:23 - mmengine - INFO - Epoch(train) [9][2800/4451] lr: 7.0748e-03 eta: 0:32:35 time: 0.3196 data_time: 0.0105 memory: 8510 grad_norm: 0.1994 loss: 0.0404 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8083 recall@top3: 0.8417 prec@top3: 0.7167 recall@top5: 0.9000 prec@top5: 0.4600 loss_action_cls: 0.0404 2022/12/03 21:52:29 - mmengine - INFO - Epoch(train) [9][2820/4451] lr: 7.0296e-03 eta: 0:32:29 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1993 loss: 0.0386 recall@thr=0.5: 0.6561 prec@thr=0.5: 0.8106 recall@top3: 0.8614 prec@top3: 0.7424 recall@top5: 0.9553 prec@top5: 0.5273 loss_action_cls: 0.0386 2022/12/03 21:52:36 - mmengine - INFO - Epoch(train) [9][2840/4451] lr: 6.9846e-03 eta: 0:32:22 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1956 loss: 0.0387 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8571 recall@top3: 0.8413 prec@top3: 0.6508 recall@top5: 0.9048 prec@top5: 0.4286 loss_action_cls: 0.0387 2022/12/03 21:52:42 - mmengine - INFO - Epoch(train) [9][2860/4451] lr: 6.9397e-03 eta: 0:32:16 time: 0.3209 data_time: 0.0097 memory: 8510 grad_norm: 0.1970 loss: 0.0388 recall@thr=0.5: 0.7395 prec@thr=0.5: 0.7752 recall@top3: 0.8457 prec@top3: 0.7905 recall@top5: 0.9538 prec@top5: 0.5429 loss_action_cls: 0.0388 2022/12/03 21:52:48 - mmengine - INFO - Epoch(train) [9][2880/4451] lr: 6.8949e-03 eta: 0:32:10 time: 0.3224 data_time: 0.0100 memory: 8510 grad_norm: 0.1993 loss: 0.0352 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8542 recall@top3: 0.8611 prec@top3: 0.8194 recall@top5: 0.9306 prec@top5: 0.5333 loss_action_cls: 0.0352 2022/12/03 21:52:55 - mmengine - INFO - Epoch(train) [9][2900/4451] lr: 6.8502e-03 eta: 0:32:03 time: 0.3198 data_time: 0.0102 memory: 8510 grad_norm: 0.2026 loss: 0.0370 recall@thr=0.5: 0.5029 prec@thr=0.5: 0.6304 recall@top3: 0.7725 prec@top3: 0.5797 recall@top5: 0.8841 prec@top5: 0.4087 loss_action_cls: 0.0370 2022/12/03 21:53:01 - mmengine - INFO - Epoch(train) [9][2920/4451] lr: 6.8057e-03 eta: 0:31:57 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.1981 loss: 0.0370 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.7882 recall@top3: 0.8715 prec@top3: 0.6944 recall@top5: 1.0000 prec@top5: 0.4833 loss_action_cls: 0.0370 2022/12/03 21:53:08 - mmengine - INFO - Epoch(train) [9][2940/4451] lr: 6.7614e-03 eta: 0:31:50 time: 0.3215 data_time: 0.0112 memory: 8510 grad_norm: 0.1979 loss: 0.0374 recall@thr=0.5: 0.6768 prec@thr=0.5: 0.6377 recall@top3: 0.7116 prec@top3: 0.5652 recall@top5: 0.8145 prec@top5: 0.4000 loss_action_cls: 0.0374 2022/12/03 21:53:14 - mmengine - INFO - Epoch(train) [9][2960/4451] lr: 6.7171e-03 eta: 0:31:44 time: 0.3215 data_time: 0.0099 memory: 8510 grad_norm: 0.1961 loss: 0.0376 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7000 recall@top3: 0.7444 prec@top3: 0.5111 recall@top5: 0.8556 prec@top5: 0.3733 loss_action_cls: 0.0376 2022/12/03 21:53:21 - mmengine - INFO - Epoch(train) [9][2980/4451] lr: 6.6730e-03 eta: 0:31:37 time: 0.3210 data_time: 0.0105 memory: 8510 grad_norm: 0.2030 loss: 0.0372 recall@thr=0.5: 0.9133 prec@thr=0.5: 0.9133 recall@top3: 0.9080 prec@top3: 0.7867 recall@top5: 0.9800 prec@top5: 0.5360 loss_action_cls: 0.0372 2022/12/03 21:53:27 - mmengine - INFO - Epoch(train) [9][3000/4451] lr: 6.6291e-03 eta: 0:31:31 time: 0.3219 data_time: 0.0108 memory: 8510 grad_norm: 0.2101 loss: 0.0386 recall@thr=0.5: 0.6090 prec@thr=0.5: 0.6282 recall@top3: 0.8013 prec@top3: 0.4103 recall@top5: 0.9423 prec@top5: 0.3000 loss_action_cls: 0.0386 2022/12/03 21:53:33 - mmengine - INFO - Epoch(train) [9][3020/4451] lr: 6.5852e-03 eta: 0:31:25 time: 0.3200 data_time: 0.0107 memory: 8510 grad_norm: 0.2026 loss: 0.0327 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.7600 recall@top3: 0.9600 prec@top3: 0.6800 recall@top5: 0.9600 prec@top5: 0.4080 loss_action_cls: 0.0327 2022/12/03 21:53:40 - mmengine - INFO - Epoch(train) [9][3040/4451] lr: 6.5415e-03 eta: 0:31:18 time: 0.3210 data_time: 0.0102 memory: 8510 grad_norm: 0.1983 loss: 0.0327 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.5769 recall@top3: 0.8974 prec@top3: 0.5897 recall@top5: 0.9231 prec@top5: 0.3692 loss_action_cls: 0.0327 2022/12/03 21:53:46 - mmengine - INFO - Epoch(train) [9][3060/4451] lr: 6.4980e-03 eta: 0:31:12 time: 0.3211 data_time: 0.0125 memory: 8510 grad_norm: 0.1985 loss: 0.0381 recall@thr=0.5: 0.8933 prec@thr=0.5: 0.9400 recall@top3: 0.9800 prec@top3: 0.7600 recall@top5: 0.9800 prec@top5: 0.4560 loss_action_cls: 0.0381 2022/12/03 21:53:53 - mmengine - INFO - Epoch(train) [9][3080/4451] lr: 6.4545e-03 eta: 0:31:05 time: 0.3200 data_time: 0.0100 memory: 8510 grad_norm: 0.2042 loss: 0.0339 recall@thr=0.5: 0.7429 prec@thr=0.5: 0.7103 recall@top3: 0.8302 prec@top3: 0.6825 recall@top5: 0.9905 prec@top5: 0.5143 loss_action_cls: 0.0339 2022/12/03 21:53:59 - mmengine - INFO - Epoch(train) [9][3100/4451] lr: 6.4112e-03 eta: 0:30:59 time: 0.3207 data_time: 0.0109 memory: 8510 grad_norm: 0.1985 loss: 0.0364 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8125 prec@top3: 0.5208 recall@top5: 0.9167 prec@top5: 0.3625 loss_action_cls: 0.0364 2022/12/03 21:54:06 - mmengine - INFO - Epoch(train) [9][3120/4451] lr: 6.3681e-03 eta: 0:30:53 time: 0.3214 data_time: 0.0100 memory: 8510 grad_norm: 0.2077 loss: 0.0409 recall@thr=0.5: 0.6912 prec@thr=0.5: 0.7108 recall@top3: 0.8039 prec@top3: 0.6078 recall@top5: 0.8333 prec@top5: 0.3882 loss_action_cls: 0.0409 2022/12/03 21:54:12 - mmengine - INFO - Epoch(train) [9][3140/4451] lr: 6.3251e-03 eta: 0:30:46 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.2051 loss: 0.0403 recall@thr=0.5: 0.6940 prec@thr=0.5: 0.7333 recall@top3: 0.8940 prec@top3: 0.6000 recall@top5: 0.9520 prec@top5: 0.3920 loss_action_cls: 0.0403 2022/12/03 21:54:18 - mmengine - INFO - Epoch(train) [9][3160/4451] lr: 6.2822e-03 eta: 0:30:40 time: 0.3210 data_time: 0.0105 memory: 8510 grad_norm: 0.1897 loss: 0.0391 recall@thr=0.5: 0.8135 prec@thr=0.5: 0.8492 recall@top3: 0.8770 prec@top3: 0.7302 recall@top5: 1.0000 prec@top5: 0.5238 loss_action_cls: 0.0391 2022/12/03 21:54:25 - mmengine - INFO - Epoch(train) [9][3180/4451] lr: 6.2394e-03 eta: 0:30:33 time: 0.3219 data_time: 0.0105 memory: 8510 grad_norm: 0.2030 loss: 0.0346 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7583 recall@top3: 0.8500 prec@top3: 0.5833 recall@top5: 0.9500 prec@top5: 0.4100 loss_action_cls: 0.0346 2022/12/03 21:54:31 - mmengine - INFO - Epoch(train) [9][3200/4451] lr: 6.1968e-03 eta: 0:30:27 time: 0.3210 data_time: 0.0101 memory: 8510 grad_norm: 0.2033 loss: 0.0420 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8030 recall@top3: 0.8106 prec@top3: 0.6212 recall@top5: 0.9545 prec@top5: 0.4727 loss_action_cls: 0.0420 2022/12/03 21:54:38 - mmengine - INFO - Epoch(train) [9][3220/4451] lr: 6.1544e-03 eta: 0:30:21 time: 0.3220 data_time: 0.0097 memory: 8510 grad_norm: 0.1918 loss: 0.0387 recall@thr=0.5: 0.5292 prec@thr=0.5: 0.5833 recall@top3: 0.7417 prec@top3: 0.6167 recall@top5: 0.8708 prec@top5: 0.4300 loss_action_cls: 0.0387 2022/12/03 21:54:44 - mmengine - INFO - Epoch(train) [9][3240/4451] lr: 6.1120e-03 eta: 0:30:14 time: 0.3203 data_time: 0.0102 memory: 8510 grad_norm: 0.2054 loss: 0.0372 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7407 recall@top3: 0.7407 prec@top3: 0.5370 recall@top5: 0.9259 prec@top5: 0.3889 loss_action_cls: 0.0372 2022/12/03 21:54:51 - mmengine - INFO - Epoch(train) [9][3260/4451] lr: 6.0698e-03 eta: 0:30:08 time: 0.3214 data_time: 0.0101 memory: 8510 grad_norm: 0.1964 loss: 0.0353 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.6232 recall@top3: 0.6696 prec@top3: 0.5652 recall@top5: 0.8957 prec@top5: 0.4870 loss_action_cls: 0.0353 2022/12/03 21:54:57 - mmengine - INFO - Epoch(train) [9][3280/4451] lr: 6.0277e-03 eta: 0:30:01 time: 0.3200 data_time: 0.0101 memory: 8510 grad_norm: 0.2065 loss: 0.0424 recall@thr=0.5: 0.4524 prec@thr=0.5: 0.5714 recall@top3: 0.7381 prec@top3: 0.5238 recall@top5: 0.8056 prec@top5: 0.3524 loss_action_cls: 0.0424 2022/12/03 21:55:03 - mmengine - INFO - Epoch(train) [9][3300/4451] lr: 5.9858e-03 eta: 0:29:55 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.2057 loss: 0.0369 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7778 recall@top3: 0.8194 prec@top3: 0.6667 recall@top5: 0.9861 prec@top5: 0.4556 loss_action_cls: 0.0369 2022/12/03 21:55:10 - mmengine - INFO - Epoch(train) [9][3320/4451] lr: 5.9440e-03 eta: 0:29:49 time: 0.3220 data_time: 0.0101 memory: 8510 grad_norm: 0.1948 loss: 0.0353 recall@thr=0.5: 0.7294 prec@thr=0.5: 0.6863 recall@top3: 0.7196 prec@top3: 0.4902 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0353 2022/12/03 21:55:16 - mmengine - INFO - Epoch(train) [9][3340/4451] lr: 5.9024e-03 eta: 0:29:42 time: 0.3209 data_time: 0.0109 memory: 8510 grad_norm: 0.2017 loss: 0.0355 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7130 recall@top3: 0.7130 prec@top3: 0.5556 recall@top5: 0.8148 prec@top5: 0.4000 loss_action_cls: 0.0355 2022/12/03 21:55:23 - mmengine - INFO - Epoch(train) [9][3360/4451] lr: 5.8609e-03 eta: 0:29:36 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.2005 loss: 0.0375 recall@thr=0.5: 0.4226 prec@thr=0.5: 0.4464 recall@top3: 0.6161 prec@top3: 0.4762 recall@top5: 0.6964 prec@top5: 0.3357 loss_action_cls: 0.0375 2022/12/03 21:55:29 - mmengine - INFO - Epoch(train) [9][3380/4451] lr: 5.8195e-03 eta: 0:29:29 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.1982 loss: 0.0344 recall@thr=0.5: 0.8467 prec@thr=0.5: 1.0000 recall@top3: 0.9167 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4880 loss_action_cls: 0.0344 2022/12/03 21:55:33 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 21:55:35 - mmengine - INFO - Epoch(train) [9][3400/4451] lr: 5.7782e-03 eta: 0:29:23 time: 0.3215 data_time: 0.0100 memory: 8510 grad_norm: 0.2082 loss: 0.0395 recall@thr=0.5: 0.6302 prec@thr=0.5: 0.8333 recall@top3: 0.8063 prec@top3: 0.6508 recall@top5: 0.9683 prec@top5: 0.4857 loss_action_cls: 0.0395 2022/12/03 21:55:42 - mmengine - INFO - Epoch(train) [9][3420/4451] lr: 5.7371e-03 eta: 0:29:16 time: 0.3209 data_time: 0.0111 memory: 8510 grad_norm: 0.1997 loss: 0.0359 recall@thr=0.5: 0.8747 prec@thr=0.5: 0.9600 recall@top3: 0.9080 prec@top3: 0.8400 recall@top5: 0.9840 prec@top5: 0.5520 loss_action_cls: 0.0359 2022/12/03 21:55:48 - mmengine - INFO - Epoch(train) [9][3440/4451] lr: 5.6962e-03 eta: 0:29:10 time: 0.3210 data_time: 0.0102 memory: 8510 grad_norm: 0.1978 loss: 0.0386 recall@thr=0.5: 0.7711 prec@thr=0.5: 0.7851 recall@top3: 0.7184 prec@top3: 0.6667 recall@top5: 0.9553 prec@top5: 0.5474 loss_action_cls: 0.0386 2022/12/03 21:55:55 - mmengine - INFO - Epoch(train) [9][3460/4451] lr: 5.6553e-03 eta: 0:29:04 time: 0.3208 data_time: 0.0103 memory: 8510 grad_norm: 0.2053 loss: 0.0394 recall@thr=0.5: 0.5994 prec@thr=0.5: 0.8846 recall@top3: 0.8494 prec@top3: 0.7692 recall@top5: 0.9391 prec@top5: 0.5231 loss_action_cls: 0.0394 2022/12/03 21:56:01 - mmengine - INFO - Epoch(train) [9][3480/4451] lr: 5.6147e-03 eta: 0:28:57 time: 0.3214 data_time: 0.0125 memory: 8510 grad_norm: 0.1990 loss: 0.0380 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.7457 recall@top3: 0.8659 prec@top3: 0.6667 recall@top5: 0.9203 prec@top5: 0.4435 loss_action_cls: 0.0380 2022/12/03 21:56:08 - mmengine - INFO - Epoch(train) [9][3500/4451] lr: 5.5741e-03 eta: 0:28:51 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.2005 loss: 0.0398 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7083 recall@top3: 0.7891 prec@top3: 0.7396 recall@top5: 0.9479 prec@top5: 0.5500 loss_action_cls: 0.0398 2022/12/03 21:56:14 - mmengine - INFO - Epoch(train) [9][3520/4451] lr: 5.5337e-03 eta: 0:28:44 time: 0.3214 data_time: 0.0119 memory: 8510 grad_norm: 0.2025 loss: 0.0353 recall@thr=0.5: 0.8067 prec@thr=0.5: 0.7667 recall@top3: 0.7800 prec@top3: 0.5778 recall@top5: 0.9167 prec@top5: 0.4400 loss_action_cls: 0.0353 2022/12/03 21:56:20 - mmengine - INFO - Epoch(train) [9][3540/4451] lr: 5.4934e-03 eta: 0:28:38 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.2006 loss: 0.0322 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5833 recall@top3: 0.8241 prec@top3: 0.6111 recall@top5: 0.8704 prec@top5: 0.4000 loss_action_cls: 0.0322 2022/12/03 21:56:27 - mmengine - INFO - Epoch(train) [9][3560/4451] lr: 5.4533e-03 eta: 0:28:32 time: 0.3212 data_time: 0.0106 memory: 8510 grad_norm: 0.1973 loss: 0.0344 recall@thr=0.5: 0.7365 prec@thr=0.5: 0.7860 recall@top3: 0.8378 prec@top3: 0.8108 recall@top5: 0.9662 prec@top5: 0.5784 loss_action_cls: 0.0344 2022/12/03 21:56:33 - mmengine - INFO - Epoch(train) [9][3580/4451] lr: 5.4133e-03 eta: 0:28:25 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.2011 loss: 0.0366 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7000 recall@top3: 0.8560 prec@top3: 0.6667 recall@top5: 0.8820 prec@top5: 0.4240 loss_action_cls: 0.0366 2022/12/03 21:56:40 - mmengine - INFO - Epoch(train) [9][3600/4451] lr: 5.3734e-03 eta: 0:28:19 time: 0.3214 data_time: 0.0105 memory: 8510 grad_norm: 0.1990 loss: 0.0363 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.8039 recall@top3: 0.9657 prec@top3: 0.6667 recall@top5: 0.9804 prec@top5: 0.4118 loss_action_cls: 0.0363 2022/12/03 21:56:46 - mmengine - INFO - Epoch(train) [9][3620/4451] lr: 5.3337e-03 eta: 0:28:12 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1929 loss: 0.0350 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8750 recall@top3: 0.8562 prec@top3: 0.7292 recall@top5: 0.9250 prec@top5: 0.4875 loss_action_cls: 0.0350 2022/12/03 21:56:53 - mmengine - INFO - Epoch(train) [9][3640/4451] lr: 5.2941e-03 eta: 0:28:06 time: 0.3213 data_time: 0.0100 memory: 8510 grad_norm: 0.2050 loss: 0.0380 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7018 recall@top3: 0.8158 prec@top3: 0.6491 recall@top5: 0.9342 prec@top5: 0.4632 loss_action_cls: 0.0380 2022/12/03 21:56:59 - mmengine - INFO - Epoch(train) [9][3660/4451] lr: 5.2547e-03 eta: 0:28:00 time: 0.3213 data_time: 0.0110 memory: 8510 grad_norm: 0.2018 loss: 0.0390 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.8565 recall@top3: 0.8796 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0390 2022/12/03 21:57:05 - mmengine - INFO - Epoch(train) [9][3680/4451] lr: 5.2154e-03 eta: 0:27:53 time: 0.3220 data_time: 0.0100 memory: 8510 grad_norm: 0.1878 loss: 0.0389 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8565 recall@top3: 0.8750 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0389 2022/12/03 21:57:12 - mmengine - INFO - Epoch(train) [9][3700/4451] lr: 5.1762e-03 eta: 0:27:47 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.2018 loss: 0.0382 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.4000 recall@top3: 0.8278 prec@top3: 0.4889 recall@top5: 0.9778 prec@top5: 0.3467 loss_action_cls: 0.0382 2022/12/03 21:57:18 - mmengine - INFO - Epoch(train) [9][3720/4451] lr: 5.1372e-03 eta: 0:27:40 time: 0.3215 data_time: 0.0104 memory: 8510 grad_norm: 0.2020 loss: 0.0362 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7315 recall@top3: 0.7870 prec@top3: 0.5556 recall@top5: 0.8519 prec@top5: 0.3667 loss_action_cls: 0.0362 2022/12/03 21:57:25 - mmengine - INFO - Epoch(train) [9][3740/4451] lr: 5.0983e-03 eta: 0:27:34 time: 0.3217 data_time: 0.0103 memory: 8510 grad_norm: 0.1968 loss: 0.0375 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.7400 recall@top3: 0.7600 prec@top3: 0.6000 recall@top5: 0.9800 prec@top5: 0.4800 loss_action_cls: 0.0375 2022/12/03 21:57:31 - mmengine - INFO - Epoch(train) [9][3760/4451] lr: 5.0596e-03 eta: 0:27:28 time: 0.3210 data_time: 0.0103 memory: 8510 grad_norm: 0.2040 loss: 0.0409 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.7500 recall@top3: 0.8571 prec@top3: 0.5952 recall@top5: 0.8929 prec@top5: 0.3857 loss_action_cls: 0.0409 2022/12/03 21:57:38 - mmengine - INFO - Epoch(train) [9][3780/4451] lr: 5.0210e-03 eta: 0:27:21 time: 0.3205 data_time: 0.0103 memory: 8510 grad_norm: 0.2079 loss: 0.0370 recall@thr=0.5: 0.6039 prec@thr=0.5: 0.7059 recall@top3: 0.6980 prec@top3: 0.6078 recall@top5: 0.9510 prec@top5: 0.4941 loss_action_cls: 0.0370 2022/12/03 21:57:44 - mmengine - INFO - Epoch(train) [9][3800/4451] lr: 4.9825e-03 eta: 0:27:15 time: 0.3202 data_time: 0.0098 memory: 8510 grad_norm: 0.2178 loss: 0.0419 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.7083 recall@top3: 0.8306 prec@top3: 0.6944 recall@top5: 0.9306 prec@top5: 0.4750 loss_action_cls: 0.0419 2022/12/03 21:57:50 - mmengine - INFO - Epoch(train) [9][3820/4451] lr: 4.9442e-03 eta: 0:27:08 time: 0.3211 data_time: 0.0102 memory: 8510 grad_norm: 0.2065 loss: 0.0363 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7778 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0363 2022/12/03 21:57:57 - mmengine - INFO - Epoch(train) [9][3840/4451] lr: 4.9060e-03 eta: 0:27:02 time: 0.3215 data_time: 0.0100 memory: 8510 grad_norm: 0.2011 loss: 0.0378 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7619 recall@top3: 0.8611 prec@top3: 0.6825 recall@top5: 0.9683 prec@top5: 0.4857 loss_action_cls: 0.0378 2022/12/03 21:58:03 - mmengine - INFO - Epoch(train) [9][3860/4451] lr: 4.8680e-03 eta: 0:26:55 time: 0.3201 data_time: 0.0103 memory: 8510 grad_norm: 0.2002 loss: 0.0389 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7121 recall@top3: 0.7727 prec@top3: 0.5152 recall@top5: 0.9242 prec@top5: 0.3818 loss_action_cls: 0.0389 2022/12/03 21:58:10 - mmengine - INFO - Epoch(train) [9][3880/4451] lr: 4.8300e-03 eta: 0:26:49 time: 0.3204 data_time: 0.0097 memory: 8510 grad_norm: 0.2007 loss: 0.0377 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.7325 recall@top3: 0.8158 prec@top3: 0.5789 recall@top5: 0.9035 prec@top5: 0.4000 loss_action_cls: 0.0377 2022/12/03 21:58:16 - mmengine - INFO - Epoch(train) [9][3900/4451] lr: 4.7923e-03 eta: 0:26:43 time: 0.3223 data_time: 0.0100 memory: 8510 grad_norm: 0.2034 loss: 0.0368 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8750 recall@top3: 0.8929 prec@top3: 0.8095 recall@top5: 0.9821 prec@top5: 0.5571 loss_action_cls: 0.0368 2022/12/03 21:58:22 - mmengine - INFO - Epoch(train) [9][3920/4451] lr: 4.7547e-03 eta: 0:26:36 time: 0.3202 data_time: 0.0101 memory: 8510 grad_norm: 0.2026 loss: 0.0380 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7133 recall@top3: 0.8133 prec@top3: 0.6933 recall@top5: 0.9400 prec@top5: 0.4880 loss_action_cls: 0.0380 2022/12/03 21:58:29 - mmengine - INFO - Epoch(train) [9][3940/4451] lr: 4.7172e-03 eta: 0:26:30 time: 0.3216 data_time: 0.0102 memory: 8510 grad_norm: 0.2023 loss: 0.0389 recall@thr=0.5: 0.5912 prec@thr=0.5: 0.9118 recall@top3: 0.7422 prec@top3: 0.7647 recall@top5: 0.8941 prec@top5: 0.6000 loss_action_cls: 0.0389 2022/12/03 21:58:35 - mmengine - INFO - Epoch(train) [9][3960/4451] lr: 4.6798e-03 eta: 0:26:23 time: 0.3218 data_time: 0.0102 memory: 8510 grad_norm: 0.1966 loss: 0.0352 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.9069 recall@top3: 0.9020 prec@top3: 0.6078 recall@top5: 0.9706 prec@top5: 0.4000 loss_action_cls: 0.0352 2022/12/03 21:58:42 - mmengine - INFO - Epoch(train) [9][3980/4451] lr: 4.6426e-03 eta: 0:26:17 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.1991 loss: 0.0375 recall@thr=0.5: 0.5988 prec@thr=0.5: 0.6296 recall@top3: 0.6667 prec@top3: 0.5432 recall@top5: 0.8519 prec@top5: 0.3852 loss_action_cls: 0.0375 2022/12/03 21:58:48 - mmengine - INFO - Epoch(train) [9][4000/4451] lr: 4.6056e-03 eta: 0:26:11 time: 0.3217 data_time: 0.0108 memory: 8510 grad_norm: 0.2024 loss: 0.0371 recall@thr=0.5: 0.5733 prec@thr=0.5: 0.5653 recall@top3: 0.8067 prec@top3: 0.6933 recall@top5: 0.9167 prec@top5: 0.4880 loss_action_cls: 0.0371 2022/12/03 21:58:55 - mmengine - INFO - Epoch(train) [9][4020/4451] lr: 4.5687e-03 eta: 0:26:04 time: 0.3214 data_time: 0.0104 memory: 8510 grad_norm: 0.2002 loss: 0.0389 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.6562 recall@top3: 0.8906 prec@top3: 0.6875 recall@top5: 0.9427 prec@top5: 0.4375 loss_action_cls: 0.0389 2022/12/03 21:59:01 - mmengine - INFO - Epoch(train) [9][4040/4451] lr: 4.5319e-03 eta: 0:25:58 time: 0.3208 data_time: 0.0102 memory: 8510 grad_norm: 0.1993 loss: 0.0356 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8421 recall@top3: 0.8509 prec@top3: 0.6667 recall@top5: 0.9737 prec@top5: 0.4737 loss_action_cls: 0.0356 2022/12/03 21:59:07 - mmengine - INFO - Epoch(train) [9][4060/4451] lr: 4.4953e-03 eta: 0:25:51 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.2033 loss: 0.0384 recall@thr=0.5: 0.3725 prec@thr=0.5: 0.5294 recall@top3: 0.5686 prec@top3: 0.4314 recall@top5: 0.8627 prec@top5: 0.3647 loss_action_cls: 0.0384 2022/12/03 21:59:14 - mmengine - INFO - Epoch(train) [9][4080/4451] lr: 4.4588e-03 eta: 0:25:45 time: 0.3213 data_time: 0.0103 memory: 8510 grad_norm: 0.2002 loss: 0.0333 recall@thr=0.5: 0.5600 prec@thr=0.5: 0.5533 recall@top3: 0.7933 prec@top3: 0.5600 recall@top5: 0.9200 prec@top5: 0.3840 loss_action_cls: 0.0333 2022/12/03 21:59:20 - mmengine - INFO - Epoch(train) [9][4100/4451] lr: 4.4224e-03 eta: 0:25:39 time: 0.3203 data_time: 0.0098 memory: 8510 grad_norm: 0.1945 loss: 0.0347 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9667 recall@top3: 1.0000 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.3467 loss_action_cls: 0.0347 2022/12/03 21:59:27 - mmengine - INFO - Epoch(train) [9][4120/4451] lr: 4.3862e-03 eta: 0:25:32 time: 0.3214 data_time: 0.0105 memory: 8510 grad_norm: 0.2014 loss: 0.0379 recall@thr=0.5: 0.6207 prec@thr=0.5: 0.8851 recall@top3: 0.9310 prec@top3: 0.6437 recall@top5: 1.0000 prec@top5: 0.4276 loss_action_cls: 0.0379 2022/12/03 21:59:33 - mmengine - INFO - Epoch(train) [9][4140/4451] lr: 4.3502e-03 eta: 0:25:26 time: 0.3200 data_time: 0.0106 memory: 8510 grad_norm: 0.1994 loss: 0.0367 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.3875 loss_action_cls: 0.0367 2022/12/03 21:59:40 - mmengine - INFO - Epoch(train) [9][4160/4451] lr: 4.3142e-03 eta: 0:25:19 time: 0.3197 data_time: 0.0114 memory: 8510 grad_norm: 0.2037 loss: 0.0367 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8137 recall@top3: 0.8039 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0367 2022/12/03 21:59:46 - mmengine - INFO - Epoch(train) [9][4180/4451] lr: 4.2785e-03 eta: 0:25:13 time: 0.3203 data_time: 0.0106 memory: 8510 grad_norm: 0.2002 loss: 0.0373 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.9067 recall@top3: 0.8444 prec@top3: 0.6889 recall@top5: 0.9556 prec@top5: 0.4800 loss_action_cls: 0.0373 2022/12/03 21:59:52 - mmengine - INFO - Epoch(train) [9][4200/4451] lr: 4.2428e-03 eta: 0:25:07 time: 0.3223 data_time: 0.0102 memory: 8510 grad_norm: 0.2014 loss: 0.0391 recall@thr=0.5: 0.7198 prec@thr=0.5: 0.8272 recall@top3: 0.7852 prec@top3: 0.8025 recall@top5: 0.9228 prec@top5: 0.5926 loss_action_cls: 0.0391 2022/12/03 21:59:59 - mmengine - INFO - Epoch(train) [9][4220/4451] lr: 4.2073e-03 eta: 0:25:00 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.1947 loss: 0.0365 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.9123 recall@top3: 0.8684 prec@top3: 0.6667 recall@top5: 0.9211 prec@top5: 0.4421 loss_action_cls: 0.0365 2022/12/03 22:00:05 - mmengine - INFO - Epoch(train) [9][4240/4451] lr: 4.1720e-03 eta: 0:24:54 time: 0.3212 data_time: 0.0114 memory: 8510 grad_norm: 0.2021 loss: 0.0353 recall@thr=0.5: 0.7933 prec@thr=0.5: 0.9167 recall@top3: 0.8133 prec@top3: 0.7556 recall@top5: 0.9778 prec@top5: 0.5600 loss_action_cls: 0.0353 2022/12/03 22:00:12 - mmengine - INFO - Epoch(train) [9][4260/4451] lr: 4.1368e-03 eta: 0:24:47 time: 0.3204 data_time: 0.0113 memory: 8510 grad_norm: 0.1937 loss: 0.0379 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8889 recall@top3: 0.8254 prec@top3: 0.7302 recall@top5: 0.9643 prec@top5: 0.5238 loss_action_cls: 0.0379 2022/12/03 22:00:18 - mmengine - INFO - Epoch(train) [9][4280/4451] lr: 4.1017e-03 eta: 0:24:41 time: 0.3221 data_time: 0.0105 memory: 8510 grad_norm: 0.1998 loss: 0.0374 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.6667 recall@top3: 0.8646 prec@top3: 0.5208 recall@top5: 0.9479 prec@top5: 0.3500 loss_action_cls: 0.0374 2022/12/03 22:00:25 - mmengine - INFO - Epoch(train) [9][4300/4451] lr: 4.0668e-03 eta: 0:24:34 time: 0.3218 data_time: 0.0101 memory: 8510 grad_norm: 0.1940 loss: 0.0371 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.7986 recall@top3: 0.8090 prec@top3: 0.7083 recall@top5: 0.9757 prec@top5: 0.5417 loss_action_cls: 0.0371 2022/12/03 22:00:31 - mmengine - INFO - Epoch(train) [9][4320/4451] lr: 4.0320e-03 eta: 0:24:28 time: 0.3202 data_time: 0.0102 memory: 8510 grad_norm: 0.1962 loss: 0.0428 recall@thr=0.5: 0.8913 prec@thr=0.5: 0.8768 recall@top3: 0.9420 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4348 loss_action_cls: 0.0428 2022/12/03 22:00:37 - mmengine - INFO - Epoch(train) [9][4340/4451] lr: 3.9973e-03 eta: 0:24:22 time: 0.3214 data_time: 0.0113 memory: 8510 grad_norm: 0.2003 loss: 0.0383 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.7111 recall@top3: 0.7889 prec@top3: 0.6222 recall@top5: 0.8667 prec@top5: 0.4133 loss_action_cls: 0.0383 2022/12/03 22:00:44 - mmengine - INFO - Epoch(train) [9][4360/4451] lr: 3.9629e-03 eta: 0:24:15 time: 0.3218 data_time: 0.0101 memory: 8510 grad_norm: 0.2078 loss: 0.0404 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7698 recall@top3: 0.6706 prec@top3: 0.6032 recall@top5: 0.8651 prec@top5: 0.4762 loss_action_cls: 0.0404 2022/12/03 22:00:50 - mmengine - INFO - Epoch(train) [9][4380/4451] lr: 3.9285e-03 eta: 0:24:09 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.2062 loss: 0.0401 recall@thr=0.5: 0.5057 prec@thr=0.5: 0.5920 recall@top3: 0.6885 prec@top3: 0.6552 recall@top5: 0.8391 prec@top5: 0.4966 loss_action_cls: 0.0401 2022/12/03 22:00:54 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 22:00:57 - mmengine - INFO - Epoch(train) [9][4400/4451] lr: 3.8943e-03 eta: 0:24:02 time: 0.3216 data_time: 0.0103 memory: 8510 grad_norm: 0.2026 loss: 0.0392 recall@thr=0.5: 0.6694 prec@thr=0.5: 0.7097 recall@top3: 0.7930 prec@top3: 0.7312 recall@top5: 0.9382 prec@top5: 0.5161 loss_action_cls: 0.0392 2022/12/03 22:01:03 - mmengine - INFO - Epoch(train) [9][4420/4451] lr: 3.8602e-03 eta: 0:23:56 time: 0.3206 data_time: 0.0112 memory: 8510 grad_norm: 0.1927 loss: 0.0314 recall@thr=0.5: 0.7130 prec@thr=0.5: 1.0000 recall@top3: 0.8611 prec@top3: 0.5741 recall@top5: 0.9444 prec@top5: 0.3889 loss_action_cls: 0.0314 2022/12/03 22:01:10 - mmengine - INFO - Epoch(train) [9][4440/4451] lr: 3.8263e-03 eta: 0:23:50 time: 0.3192 data_time: 0.0111 memory: 8510 grad_norm: 0.1983 loss: 0.0366 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7778 recall@top3: 0.8333 prec@top3: 0.7639 recall@top5: 0.9653 prec@top5: 0.5417 loss_action_cls: 0.0366 2022/12/03 22:01:13 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 22:01:13 - mmengine - INFO - Epoch(train) [9][4451/4451] lr: 3.8077e-03 eta: 0:23:46 time: 0.3147 data_time: 0.0107 memory: 8510 grad_norm: 0.2054 loss: 0.0376 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7778 recall@top3: 0.9444 prec@top3: 0.8519 recall@top5: 1.0000 prec@top5: 0.5556 loss_action_cls: 0.0376 2022/12/03 22:01:13 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/12/03 22:01:18 - mmengine - INFO - Epoch(val) [9][ 20/6282] eta: 0:04:25 time: 0.0424 data_time: 0.0077 memory: 661 2022/12/03 22:01:19 - mmengine - INFO - Epoch(val) [9][ 40/6282] eta: 0:04:08 time: 0.0372 data_time: 0.0041 memory: 661 2022/12/03 22:01:19 - mmengine - INFO - Epoch(val) [9][ 60/6282] eta: 0:04:05 time: 0.0385 data_time: 0.0039 memory: 661 2022/12/03 22:01:20 - mmengine - INFO - Epoch(val) [9][ 80/6282] eta: 0:04:03 time: 0.0388 data_time: 0.0042 memory: 661 2022/12/03 22:01:21 - mmengine - INFO - Epoch(val) [9][ 100/6282] eta: 0:04:01 time: 0.0381 data_time: 0.0052 memory: 661 2022/12/03 22:01:22 - mmengine - INFO - Epoch(val) [9][ 120/6282] eta: 0:04:07 time: 0.0460 data_time: 0.0044 memory: 732 2022/12/03 22:01:23 - mmengine - INFO - Epoch(val) [9][ 140/6282] eta: 0:04:16 time: 0.0508 data_time: 0.0053 memory: 732 2022/12/03 22:01:24 - mmengine - INFO - Epoch(val) [9][ 160/6282] eta: 0:04:21 time: 0.0501 data_time: 0.0058 memory: 732 2022/12/03 22:01:25 - mmengine - INFO - Epoch(val) [9][ 180/6282] eta: 0:04:27 time: 0.0527 data_time: 0.0048 memory: 732 2022/12/03 22:01:26 - mmengine - INFO - Epoch(val) [9][ 200/6282] eta: 0:04:30 time: 0.0501 data_time: 0.0060 memory: 732 2022/12/03 22:01:27 - mmengine - INFO - Epoch(val) [9][ 220/6282] eta: 0:04:29 time: 0.0439 data_time: 0.0060 memory: 674 2022/12/03 22:01:28 - mmengine - INFO - Epoch(val) [9][ 240/6282] eta: 0:04:26 time: 0.0414 data_time: 0.0047 memory: 674 2022/12/03 22:01:29 - mmengine - INFO - Epoch(val) [9][ 260/6282] eta: 0:04:25 time: 0.0433 data_time: 0.0053 memory: 674 2022/12/03 22:01:29 - mmengine - INFO - Epoch(val) [9][ 280/6282] eta: 0:04:24 time: 0.0425 data_time: 0.0056 memory: 674 2022/12/03 22:01:30 - mmengine - INFO - Epoch(val) [9][ 300/6282] eta: 0:04:23 time: 0.0453 data_time: 0.0055 memory: 732 2022/12/03 22:01:31 - mmengine - INFO - Epoch(val) [9][ 320/6282] eta: 0:04:24 time: 0.0496 data_time: 0.0054 memory: 732 2022/12/03 22:01:32 - mmengine - INFO - Epoch(val) [9][ 340/6282] eta: 0:04:25 time: 0.0481 data_time: 0.0040 memory: 732 2022/12/03 22:01:33 - mmengine - INFO - Epoch(val) [9][ 360/6282] eta: 0:04:26 time: 0.0498 data_time: 0.0062 memory: 732 2022/12/03 22:01:34 - mmengine - INFO - Epoch(val) [9][ 380/6282] eta: 0:04:25 time: 0.0463 data_time: 0.0045 memory: 732 2022/12/03 22:01:35 - mmengine - INFO - Epoch(val) [9][ 400/6282] eta: 0:04:23 time: 0.0422 data_time: 0.0045 memory: 732 2022/12/03 22:01:36 - mmengine - INFO - Epoch(val) [9][ 420/6282] eta: 0:04:21 time: 0.0409 data_time: 0.0051 memory: 678 2022/12/03 22:01:37 - mmengine - INFO - Epoch(val) [9][ 440/6282] eta: 0:04:21 time: 0.0463 data_time: 0.0069 memory: 678 2022/12/03 22:01:38 - mmengine - INFO - Epoch(val) [9][ 460/6282] eta: 0:04:19 time: 0.0402 data_time: 0.0040 memory: 678 2022/12/03 22:01:39 - mmengine - INFO - Epoch(val) [9][ 480/6282] eta: 0:04:18 time: 0.0438 data_time: 0.0053 memory: 678 2022/12/03 22:01:39 - mmengine - INFO - Epoch(val) [9][ 500/6282] eta: 0:04:17 time: 0.0433 data_time: 0.0050 memory: 678 2022/12/03 22:01:40 - mmengine - INFO - Epoch(val) [9][ 520/6282] eta: 0:04:16 time: 0.0447 data_time: 0.0054 memory: 674 2022/12/03 22:01:41 - mmengine - INFO - Epoch(val) [9][ 540/6282] eta: 0:04:14 time: 0.0413 data_time: 0.0046 memory: 674 2022/12/03 22:01:42 - mmengine - INFO - Epoch(val) [9][ 560/6282] eta: 0:04:13 time: 0.0420 data_time: 0.0051 memory: 674 2022/12/03 22:01:43 - mmengine - INFO - Epoch(val) [9][ 580/6282] eta: 0:04:13 time: 0.0501 data_time: 0.0068 memory: 674 2022/12/03 22:01:44 - mmengine - INFO - Epoch(val) [9][ 600/6282] eta: 0:04:13 time: 0.0497 data_time: 0.0076 memory: 674 2022/12/03 22:01:45 - mmengine - INFO - Epoch(val) [9][ 620/6282] eta: 0:04:14 time: 0.0516 data_time: 0.0050 memory: 674 2022/12/03 22:01:46 - mmengine - INFO - Epoch(val) [9][ 640/6282] eta: 0:04:15 time: 0.0580 data_time: 0.0120 memory: 670 2022/12/03 22:01:47 - mmengine - INFO - Epoch(val) [9][ 660/6282] eta: 0:04:16 time: 0.0535 data_time: 0.0082 memory: 670 2022/12/03 22:01:48 - mmengine - INFO - Epoch(val) [9][ 680/6282] eta: 0:04:15 time: 0.0489 data_time: 0.0058 memory: 670 2022/12/03 22:01:49 - mmengine - INFO - Epoch(val) [9][ 700/6282] eta: 0:04:15 time: 0.0483 data_time: 0.0087 memory: 670 2022/12/03 22:01:50 - mmengine - INFO - Epoch(val) [9][ 720/6282] eta: 0:04:15 time: 0.0510 data_time: 0.0066 memory: 732 2022/12/03 22:01:51 - mmengine - INFO - Epoch(val) [9][ 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time: 0.0447 data_time: 0.0058 memory: 674 2022/12/03 22:02:00 - mmengine - INFO - Epoch(val) [9][ 920/6282] eta: 0:04:07 time: 0.0442 data_time: 0.0057 memory: 674 2022/12/03 22:02:01 - mmengine - INFO - Epoch(val) [9][ 940/6282] eta: 0:04:06 time: 0.0443 data_time: 0.0056 memory: 661 2022/12/03 22:02:02 - mmengine - INFO - Epoch(val) [9][ 960/6282] eta: 0:04:05 time: 0.0432 data_time: 0.0059 memory: 661 2022/12/03 22:02:02 - mmengine - INFO - Epoch(val) [9][ 980/6282] eta: 0:04:03 time: 0.0384 data_time: 0.0048 memory: 661 2022/12/03 22:02:03 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:04:02 time: 0.0411 data_time: 0.0052 memory: 661 2022/12/03 22:02:04 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:04:00 time: 0.0408 data_time: 0.0046 memory: 674 2022/12/03 22:02:05 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:03:59 time: 0.0416 data_time: 0.0044 memory: 674 2022/12/03 22:02:06 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:03:58 time: 0.0448 data_time: 0.0068 memory: 674 2022/12/03 22:02:07 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:03:58 time: 0.0523 data_time: 0.0084 memory: 674 2022/12/03 22:02:08 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:03:57 time: 0.0489 data_time: 0.0062 memory: 674 2022/12/03 22:02:09 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:03:57 time: 0.0574 data_time: 0.0095 memory: 674 2022/12/03 22:02:10 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:03:57 time: 0.0582 data_time: 0.0115 memory: 674 2022/12/03 22:02:11 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:03:57 time: 0.0587 data_time: 0.0119 memory: 674 2022/12/03 22:02:13 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:03:57 time: 0.0515 data_time: 0.0031 memory: 674 2022/12/03 22:02:14 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:03:57 time: 0.0519 data_time: 0.0079 memory: 674 2022/12/03 22:02:15 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:03:56 time: 0.0561 data_time: 0.0097 memory: 674 2022/12/03 22:02:16 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:03:57 time: 0.0604 data_time: 0.0104 memory: 732 2022/12/03 22:02:17 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:03:57 time: 0.0591 data_time: 0.0072 memory: 732 2022/12/03 22:02:18 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:03:56 time: 0.0559 data_time: 0.0073 memory: 732 2022/12/03 22:02:19 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:03:56 time: 0.0563 data_time: 0.0080 memory: 732 2022/12/03 22:02:20 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:03:55 time: 0.0520 data_time: 0.0053 memory: 732 2022/12/03 22:02:21 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:03:54 time: 0.0476 data_time: 0.0058 memory: 732 2022/12/03 22:02:22 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:03:54 time: 0.0471 data_time: 0.0047 memory: 732 2022/12/03 22:02:23 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:03:52 time: 0.0459 data_time: 0.0039 memory: 732 2022/12/03 22:02:24 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:03:51 time: 0.0436 data_time: 0.0041 memory: 732 2022/12/03 22:02:25 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:03:50 time: 0.0462 data_time: 0.0061 memory: 732 2022/12/03 22:02:26 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:03:49 time: 0.0450 data_time: 0.0046 memory: 732 2022/12/03 22:02:27 - mmengine - INFO - Epoch(val) [9][1460/6282] eta: 0:03:48 time: 0.0437 data_time: 0.0051 memory: 732 2022/12/03 22:02:28 - mmengine - INFO - Epoch(val) [9][1480/6282] eta: 0:03:47 time: 0.0443 data_time: 0.0038 memory: 732 2022/12/03 22:02:29 - mmengine - INFO - Epoch(val) [9][1500/6282] eta: 0:03:46 time: 0.0453 data_time: 0.0039 memory: 732 2022/12/03 22:02:30 - mmengine - INFO - Epoch(val) [9][1520/6282] eta: 0:03:45 time: 0.0440 data_time: 0.0032 memory: 819 2022/12/03 22:02:31 - mmengine - INFO - Epoch(val) [9][1540/6282] eta: 0:03:44 time: 0.0494 data_time: 0.0035 memory: 819 2022/12/03 22:02:32 - mmengine - INFO - Epoch(val) [9][1560/6282] eta: 0:03:43 time: 0.0512 data_time: 0.0052 memory: 819 2022/12/03 22:02:33 - mmengine - INFO - Epoch(val) [9][1580/6282] eta: 0:03:42 time: 0.0482 data_time: 0.0034 memory: 819 2022/12/03 22:02:34 - mmengine - INFO - Epoch(val) [9][1600/6282] eta: 0:03:41 time: 0.0470 data_time: 0.0031 memory: 819 2022/12/03 22:02:35 - mmengine - INFO - Epoch(val) [9][1620/6282] eta: 0:03:40 time: 0.0487 data_time: 0.0034 memory: 819 2022/12/03 22:02:35 - mmengine - INFO - Epoch(val) [9][1640/6282] eta: 0:03:39 time: 0.0436 data_time: 0.0051 memory: 732 2022/12/03 22:02:36 - mmengine - INFO - Epoch(val) [9][1660/6282] eta: 0:03:38 time: 0.0479 data_time: 0.0049 memory: 732 2022/12/03 22:02:37 - mmengine - INFO - Epoch(val) [9][1680/6282] eta: 0:03:37 time: 0.0520 data_time: 0.0085 memory: 732 2022/12/03 22:02:38 - mmengine - INFO - Epoch(val) [9][1700/6282] eta: 0:03:37 time: 0.0519 data_time: 0.0054 memory: 732 2022/12/03 22:02:40 - mmengine - INFO - Epoch(val) [9][1720/6282] eta: 0:03:36 time: 0.0564 data_time: 0.0073 memory: 732 2022/12/03 22:02:41 - mmengine - INFO - Epoch(val) [9][1740/6282] eta: 0:03:36 time: 0.0568 data_time: 0.0077 memory: 732 2022/12/03 22:02:42 - mmengine - INFO - Epoch(val) [9][1760/6282] eta: 0:03:35 time: 0.0543 data_time: 0.0080 memory: 732 2022/12/03 22:02:43 - mmengine - INFO - Epoch(val) [9][1780/6282] eta: 0:03:35 time: 0.0534 data_time: 0.0067 memory: 732 2022/12/03 22:02:44 - mmengine - INFO - Epoch(val) [9][1800/6282] eta: 0:03:34 time: 0.0529 data_time: 0.0080 memory: 732 2022/12/03 22:02:45 - mmengine - INFO - Epoch(val) [9][1820/6282] eta: 0:03:33 time: 0.0533 data_time: 0.0078 memory: 732 2022/12/03 22:02:46 - mmengine - INFO - Epoch(val) [9][1840/6282] eta: 0:03:32 time: 0.0524 data_time: 0.0081 memory: 732 2022/12/03 22:02:47 - mmengine - INFO - Epoch(val) [9][1860/6282] eta: 0:03:32 time: 0.0509 data_time: 0.0044 memory: 732 2022/12/03 22:02:48 - mmengine - INFO - Epoch(val) [9][1880/6282] eta: 0:03:31 time: 0.0494 data_time: 0.0039 memory: 732 2022/12/03 22:02:49 - mmengine - INFO - Epoch(val) [9][1900/6282] eta: 0:03:30 time: 0.0502 data_time: 0.0055 memory: 732 2022/12/03 22:02:50 - mmengine - INFO - Epoch(val) [9][1920/6282] eta: 0:03:29 time: 0.0480 data_time: 0.0061 memory: 732 2022/12/03 22:02:51 - mmengine - INFO - Epoch(val) [9][1940/6282] eta: 0:03:28 time: 0.0460 data_time: 0.0065 memory: 732 2022/12/03 22:02:52 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:03:27 time: 0.0445 data_time: 0.0052 memory: 678 2022/12/03 22:02:53 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:03:25 time: 0.0411 data_time: 0.0038 memory: 678 2022/12/03 22:02:54 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:03:24 time: 0.0459 data_time: 0.0055 memory: 678 2022/12/03 22:02:55 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:03:23 time: 0.0449 data_time: 0.0056 memory: 678 2022/12/03 22:02:55 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:03:22 time: 0.0427 data_time: 0.0047 memory: 678 2022/12/03 22:02:56 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:03:21 time: 0.0432 data_time: 0.0051 memory: 678 2022/12/03 22:02:57 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:03:20 time: 0.0398 data_time: 0.0033 memory: 678 2022/12/03 22:02:58 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:03:19 time: 0.0405 data_time: 0.0042 memory: 678 2022/12/03 22:02:59 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:03:17 time: 0.0432 data_time: 0.0052 memory: 678 2022/12/03 22:03:00 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:03:16 time: 0.0433 data_time: 0.0045 memory: 678 2022/12/03 22:03:01 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:03:15 time: 0.0426 data_time: 0.0057 memory: 674 2022/12/03 22:03:01 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:03:14 time: 0.0421 data_time: 0.0043 memory: 674 2022/12/03 22:03:02 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:03:13 time: 0.0431 data_time: 0.0062 memory: 674 2022/12/03 22:03:03 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:03:12 time: 0.0444 data_time: 0.0053 memory: 674 2022/12/03 22:03:04 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:03:11 time: 0.0457 data_time: 0.0067 memory: 674 2022/12/03 22:03:05 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:03:10 time: 0.0434 data_time: 0.0059 memory: 678 2022/12/03 22:03:06 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:03:09 time: 0.0451 data_time: 0.0059 memory: 678 2022/12/03 22:03:07 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:03:08 time: 0.0451 data_time: 0.0078 memory: 678 2022/12/03 22:03:08 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:03:07 time: 0.0499 data_time: 0.0055 memory: 678 2022/12/03 22:03:09 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:03:06 time: 0.0497 data_time: 0.0069 memory: 678 2022/12/03 22:03:10 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:03:05 time: 0.0512 data_time: 0.0071 memory: 674 2022/12/03 22:03:11 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:03:04 time: 0.0506 data_time: 0.0088 memory: 674 2022/12/03 22:03:12 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:03:03 time: 0.0479 data_time: 0.0075 memory: 674 2022/12/03 22:03:13 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:03:02 time: 0.0484 data_time: 0.0082 memory: 674 2022/12/03 22:03:14 - mmengine - INFO - Epoch(val) [9][2440/6282] eta: 0:03:01 time: 0.0434 data_time: 0.0058 memory: 674 2022/12/03 22:03:15 - mmengine - INFO - Epoch(val) [9][2460/6282] eta: 0:03:01 time: 0.0535 data_time: 0.0057 memory: 732 2022/12/03 22:03:16 - mmengine - INFO - Epoch(val) [9][2480/6282] eta: 0:03:00 time: 0.0530 data_time: 0.0075 memory: 732 2022/12/03 22:03:17 - mmengine - INFO - Epoch(val) [9][2500/6282] eta: 0:02:59 time: 0.0541 data_time: 0.0061 memory: 732 2022/12/03 22:03:18 - mmengine - INFO - Epoch(val) [9][2520/6282] eta: 0:02:58 time: 0.0492 data_time: 0.0045 memory: 732 2022/12/03 22:03:19 - mmengine - INFO - Epoch(val) [9][2540/6282] eta: 0:02:57 time: 0.0511 data_time: 0.0058 memory: 732 2022/12/03 22:03:20 - mmengine - INFO - Epoch(val) [9][2560/6282] eta: 0:02:56 time: 0.0478 data_time: 0.0059 memory: 732 2022/12/03 22:03:21 - mmengine - INFO - Epoch(val) [9][2580/6282] eta: 0:02:56 time: 0.0505 data_time: 0.0050 memory: 732 2022/12/03 22:03:22 - mmengine - INFO - Epoch(val) [9][2600/6282] eta: 0:02:55 time: 0.0479 data_time: 0.0043 memory: 732 2022/12/03 22:03:23 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:02:54 time: 0.0500 data_time: 0.0068 memory: 732 2022/12/03 22:03:24 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:02:53 time: 0.0521 data_time: 0.0073 memory: 732 2022/12/03 22:03:25 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:02:52 time: 0.0514 data_time: 0.0049 memory: 811 2022/12/03 22:03:26 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:02:51 time: 0.0508 data_time: 0.0040 memory: 811 2022/12/03 22:03:27 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:02:50 time: 0.0492 data_time: 0.0029 memory: 811 2022/12/03 22:03:28 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:02:50 time: 0.0589 data_time: 0.0054 memory: 811 2022/12/03 22:03:29 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:02:49 time: 0.0513 data_time: 0.0049 memory: 811 2022/12/03 22:03:30 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:02:48 time: 0.0404 data_time: 0.0042 memory: 678 2022/12/03 22:03:31 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:02:46 time: 0.0404 data_time: 0.0051 memory: 678 2022/12/03 22:03:32 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:02:45 time: 0.0377 data_time: 0.0037 memory: 678 2022/12/03 22:03:32 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:02:44 time: 0.0392 data_time: 0.0043 memory: 678 2022/12/03 22:03:33 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:02:43 time: 0.0386 data_time: 0.0050 memory: 678 2022/12/03 22:03:34 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:02:42 time: 0.0448 data_time: 0.0043 memory: 732 2022/12/03 22:03:35 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:02:41 time: 0.0491 data_time: 0.0056 memory: 732 2022/12/03 22:03:36 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:02:40 time: 0.0453 data_time: 0.0051 memory: 732 2022/12/03 22:03:37 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:02:39 time: 0.0445 data_time: 0.0057 memory: 732 2022/12/03 22:03:38 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:02:38 time: 0.0447 data_time: 0.0060 memory: 701 2022/12/03 22:03:39 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:02:37 time: 0.0453 data_time: 0.0065 memory: 701 2022/12/03 22:03:40 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:02:36 time: 0.0427 data_time: 0.0045 memory: 701 2022/12/03 22:03:41 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:02:35 time: 0.0431 data_time: 0.0056 memory: 701 2022/12/03 22:03:41 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:02:34 time: 0.0479 data_time: 0.0056 memory: 732 2022/12/03 22:03:42 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:02:33 time: 0.0444 data_time: 0.0040 memory: 732 2022/12/03 22:03:43 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:02:32 time: 0.0452 data_time: 0.0040 memory: 732 2022/12/03 22:03:44 - mmengine - INFO - Epoch(val) [9][3080/6282] eta: 0:02:31 time: 0.0461 data_time: 0.0057 memory: 732 2022/12/03 22:03:45 - mmengine - INFO - Epoch(val) [9][3100/6282] eta: 0:02:30 time: 0.0456 data_time: 0.0055 memory: 732 2022/12/03 22:03:46 - mmengine - INFO - Epoch(val) [9][3120/6282] eta: 0:02:29 time: 0.0412 data_time: 0.0041 memory: 678 2022/12/03 22:03:47 - mmengine - INFO - Epoch(val) [9][3140/6282] eta: 0:02:28 time: 0.0405 data_time: 0.0053 memory: 678 2022/12/03 22:03:48 - mmengine - INFO - Epoch(val) [9][3160/6282] eta: 0:02:27 time: 0.0394 data_time: 0.0038 memory: 678 2022/12/03 22:03:48 - mmengine - INFO - Epoch(val) [9][3180/6282] eta: 0:02:26 time: 0.0422 data_time: 0.0038 memory: 678 2022/12/03 22:03:49 - mmengine - INFO - Epoch(val) [9][3200/6282] eta: 0:02:25 time: 0.0467 data_time: 0.0044 memory: 732 2022/12/03 22:03:50 - mmengine - INFO - Epoch(val) [9][3220/6282] eta: 0:02:24 time: 0.0448 data_time: 0.0045 memory: 732 2022/12/03 22:03:51 - mmengine - INFO - Epoch(val) [9][3240/6282] eta: 0:02:23 time: 0.0478 data_time: 0.0041 memory: 732 2022/12/03 22:03:52 - mmengine - INFO - Epoch(val) [9][3260/6282] eta: 0:02:22 time: 0.0481 data_time: 0.0050 memory: 732 2022/12/03 22:03:53 - mmengine - INFO - Epoch(val) [9][3280/6282] eta: 0:02:21 time: 0.0477 data_time: 0.0048 memory: 732 2022/12/03 22:03:54 - mmengine - INFO - Epoch(val) [9][3300/6282] eta: 0:02:20 time: 0.0463 data_time: 0.0037 memory: 732 2022/12/03 22:03:55 - mmengine - INFO - Epoch(val) [9][3320/6282] eta: 0:02:19 time: 0.0439 data_time: 0.0046 memory: 732 2022/12/03 22:03:56 - mmengine - INFO - Epoch(val) [9][3340/6282] eta: 0:02:18 time: 0.0483 data_time: 0.0050 memory: 732 2022/12/03 22:03:57 - mmengine - INFO - Epoch(val) [9][3360/6282] eta: 0:02:17 time: 0.0448 data_time: 0.0039 memory: 732 2022/12/03 22:03:58 - mmengine - INFO - Epoch(val) [9][3380/6282] eta: 0:02:16 time: 0.0462 data_time: 0.0056 memory: 732 2022/12/03 22:03:59 - mmengine - INFO - Epoch(val) [9][3400/6282] eta: 0:02:15 time: 0.0414 data_time: 0.0037 memory: 674 2022/12/03 22:04:00 - mmengine - INFO - Epoch(val) [9][3420/6282] eta: 0:02:14 time: 0.0438 data_time: 0.0055 memory: 674 2022/12/03 22:04:00 - mmengine - INFO - Epoch(val) [9][3440/6282] eta: 0:02:13 time: 0.0427 data_time: 0.0045 memory: 674 2022/12/03 22:04:01 - mmengine - INFO - Epoch(val) [9][3460/6282] eta: 0:02:12 time: 0.0409 data_time: 0.0034 memory: 674 2022/12/03 22:04:02 - mmengine - INFO - Epoch(val) [9][3480/6282] eta: 0:02:11 time: 0.0431 data_time: 0.0051 memory: 674 2022/12/03 22:04:03 - mmengine - INFO - Epoch(val) [9][3500/6282] eta: 0:02:10 time: 0.0469 data_time: 0.0078 memory: 674 2022/12/03 22:04:04 - mmengine - INFO - Epoch(val) [9][3520/6282] eta: 0:02:09 time: 0.0378 data_time: 0.0041 memory: 674 2022/12/03 22:04:05 - mmengine - INFO - Epoch(val) [9][3540/6282] eta: 0:02:08 time: 0.0391 data_time: 0.0035 memory: 674 2022/12/03 22:04:05 - mmengine - INFO - Epoch(val) [9][3560/6282] eta: 0:02:07 time: 0.0443 data_time: 0.0064 memory: 674 2022/12/03 22:04:06 - mmengine - INFO - Epoch(val) [9][3580/6282] eta: 0:02:06 time: 0.0441 data_time: 0.0048 memory: 715 2022/12/03 22:04:07 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:02:05 time: 0.0466 data_time: 0.0043 memory: 715 2022/12/03 22:04:08 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:02:04 time: 0.0457 data_time: 0.0056 memory: 715 2022/12/03 22:04:09 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:02:03 time: 0.0466 data_time: 0.0061 memory: 715 2022/12/03 22:04:10 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:02:02 time: 0.0472 data_time: 0.0068 memory: 715 2022/12/03 22:04:11 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:02:01 time: 0.0483 data_time: 0.0048 memory: 732 2022/12/03 22:04:12 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:02:00 time: 0.0493 data_time: 0.0048 memory: 732 2022/12/03 22:04:13 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:02:00 time: 0.0485 data_time: 0.0062 memory: 732 2022/12/03 22:04:14 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:01:59 time: 0.0484 data_time: 0.0047 memory: 732 2022/12/03 22:04:15 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:01:58 time: 0.0456 data_time: 0.0056 memory: 732 2022/12/03 22:04:16 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:01:57 time: 0.0481 data_time: 0.0051 memory: 732 2022/12/03 22:04:17 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:01:56 time: 0.0450 data_time: 0.0050 memory: 732 2022/12/03 22:04:18 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:01:55 time: 0.0419 data_time: 0.0033 memory: 732 2022/12/03 22:04:19 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:01:54 time: 0.0418 data_time: 0.0031 memory: 732 2022/12/03 22:04:19 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:01:53 time: 0.0437 data_time: 0.0042 memory: 732 2022/12/03 22:04:20 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:01:52 time: 0.0416 data_time: 0.0050 memory: 732 2022/12/03 22:04:21 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:01:51 time: 0.0484 data_time: 0.0060 memory: 732 2022/12/03 22:04:22 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:01:50 time: 0.0475 data_time: 0.0058 memory: 732 2022/12/03 22:04:23 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:01:49 time: 0.0457 data_time: 0.0041 memory: 732 2022/12/03 22:04:24 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:01:48 time: 0.0466 data_time: 0.0033 memory: 732 2022/12/03 22:04:25 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:01:47 time: 0.0436 data_time: 0.0042 memory: 732 2022/12/03 22:04:26 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:01:46 time: 0.0456 data_time: 0.0063 memory: 732 2022/12/03 22:04:27 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:01:45 time: 0.0436 data_time: 0.0040 memory: 732 2022/12/03 22:04:28 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:01:44 time: 0.0468 data_time: 0.0047 memory: 811 2022/12/03 22:04:29 - mmengine - INFO - Epoch(val) [9][4060/6282] eta: 0:01:43 time: 0.0486 data_time: 0.0039 memory: 811 2022/12/03 22:04:30 - mmengine - INFO - Epoch(val) [9][4080/6282] eta: 0:01:42 time: 0.0503 data_time: 0.0039 memory: 811 2022/12/03 22:04:31 - mmengine - INFO - Epoch(val) [9][4100/6282] eta: 0:01:42 time: 0.0478 data_time: 0.0035 memory: 811 2022/12/03 22:04:32 - mmengine - INFO - Epoch(val) [9][4120/6282] eta: 0:01:41 time: 0.0498 data_time: 0.0039 memory: 811 2022/12/03 22:04:33 - mmengine - INFO - Epoch(val) [9][4140/6282] eta: 0:01:40 time: 0.0466 data_time: 0.0042 memory: 811 2022/12/03 22:04:33 - mmengine - INFO - Epoch(val) [9][4160/6282] eta: 0:01:39 time: 0.0403 data_time: 0.0042 memory: 674 2022/12/03 22:04:34 - mmengine - INFO - Epoch(val) [9][4180/6282] eta: 0:01:38 time: 0.0391 data_time: 0.0055 memory: 674 2022/12/03 22:04:35 - mmengine - INFO - Epoch(val) [9][4200/6282] eta: 0:01:37 time: 0.0390 data_time: 0.0051 memory: 674 2022/12/03 22:04:36 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:01:36 time: 0.0398 data_time: 0.0047 memory: 674 2022/12/03 22:04:37 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:01:35 time: 0.0408 data_time: 0.0044 memory: 674 2022/12/03 22:04:37 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:01:34 time: 0.0424 data_time: 0.0059 memory: 672 2022/12/03 22:04:38 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:01:33 time: 0.0399 data_time: 0.0033 memory: 672 2022/12/03 22:04:39 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:01:32 time: 0.0404 data_time: 0.0050 memory: 672 2022/12/03 22:04:40 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:01:31 time: 0.0375 data_time: 0.0043 memory: 672 2022/12/03 22:04:41 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:01:30 time: 0.0392 data_time: 0.0042 memory: 672 2022/12/03 22:04:41 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:01:29 time: 0.0425 data_time: 0.0046 memory: 732 2022/12/03 22:04:42 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:01:28 time: 0.0435 data_time: 0.0043 memory: 732 2022/12/03 22:04:43 - mmengine - INFO - Epoch(val) [9][4400/6282] eta: 0:01:27 time: 0.0454 data_time: 0.0044 memory: 732 2022/12/03 22:04:44 - mmengine - INFO - Epoch(val) [9][4420/6282] eta: 0:01:26 time: 0.0449 data_time: 0.0043 memory: 732 2022/12/03 22:04:45 - mmengine - INFO - Epoch(val) [9][4440/6282] eta: 0:01:25 time: 0.0447 data_time: 0.0045 memory: 739 2022/12/03 22:04:46 - mmengine - INFO - Epoch(val) [9][4460/6282] eta: 0:01:24 time: 0.0472 data_time: 0.0046 memory: 739 2022/12/03 22:04:47 - mmengine - INFO - Epoch(val) [9][4480/6282] eta: 0:01:23 time: 0.0486 data_time: 0.0049 memory: 739 2022/12/03 22:04:48 - mmengine - INFO - Epoch(val) [9][4500/6282] eta: 0:01:22 time: 0.0482 data_time: 0.0051 memory: 739 2022/12/03 22:04:49 - mmengine - INFO - Epoch(val) [9][4520/6282] eta: 0:01:21 time: 0.0443 data_time: 0.0033 memory: 739 2022/12/03 22:04:50 - mmengine - INFO - Epoch(val) [9][4540/6282] eta: 0:01:20 time: 0.0417 data_time: 0.0047 memory: 678 2022/12/03 22:04:51 - mmengine - INFO - Epoch(val) [9][4560/6282] eta: 0:01:19 time: 0.0393 data_time: 0.0044 memory: 678 2022/12/03 22:04:51 - mmengine - INFO - Epoch(val) [9][4580/6282] eta: 0:01:18 time: 0.0388 data_time: 0.0045 memory: 678 2022/12/03 22:04:52 - mmengine - INFO - Epoch(val) [9][4600/6282] eta: 0:01:17 time: 0.0380 data_time: 0.0039 memory: 678 2022/12/03 22:04:53 - mmengine - INFO - Epoch(val) [9][4620/6282] eta: 0:01:16 time: 0.0390 data_time: 0.0048 memory: 678 2022/12/03 22:04:54 - mmengine - INFO - Epoch(val) [9][4640/6282] eta: 0:01:15 time: 0.0433 data_time: 0.0042 memory: 739 2022/12/03 22:04:55 - mmengine - INFO - Epoch(val) [9][4660/6282] eta: 0:01:15 time: 0.0460 data_time: 0.0036 memory: 739 2022/12/03 22:04:56 - mmengine - INFO - Epoch(val) [9][4680/6282] eta: 0:01:14 time: 0.0459 data_time: 0.0039 memory: 739 2022/12/03 22:04:57 - mmengine - INFO - Epoch(val) [9][4700/6282] eta: 0:01:13 time: 0.0473 data_time: 0.0034 memory: 739 2022/12/03 22:04:57 - mmengine - INFO - Epoch(val) [9][4720/6282] eta: 0:01:12 time: 0.0443 data_time: 0.0043 memory: 739 2022/12/03 22:04:58 - mmengine - INFO - Epoch(val) [9][4740/6282] eta: 0:01:11 time: 0.0434 data_time: 0.0061 memory: 698 2022/12/03 22:04:59 - mmengine - INFO - Epoch(val) [9][4760/6282] eta: 0:01:10 time: 0.0450 data_time: 0.0068 memory: 698 2022/12/03 22:05:00 - mmengine - INFO - Epoch(val) [9][4780/6282] eta: 0:01:09 time: 0.0442 data_time: 0.0057 memory: 698 2022/12/03 22:05:01 - mmengine - INFO - Epoch(val) [9][4800/6282] eta: 0:01:08 time: 0.0420 data_time: 0.0043 memory: 698 2022/12/03 22:05:02 - mmengine - INFO - Epoch(val) [9][4820/6282] eta: 0:01:07 time: 0.0425 data_time: 0.0048 memory: 732 2022/12/03 22:05:03 - mmengine - INFO - Epoch(val) [9][4840/6282] eta: 0:01:06 time: 0.0458 data_time: 0.0039 memory: 732 2022/12/03 22:05:04 - mmengine - INFO - Epoch(val) [9][4860/6282] eta: 0:01:05 time: 0.0469 data_time: 0.0053 memory: 732 2022/12/03 22:05:05 - mmengine - INFO - Epoch(val) [9][4880/6282] eta: 0:01:04 time: 0.0474 data_time: 0.0048 memory: 732 2022/12/03 22:05:06 - mmengine - INFO - Epoch(val) [9][4900/6282] eta: 0:01:03 time: 0.0487 data_time: 0.0054 memory: 732 2022/12/03 22:05:07 - mmengine - INFO - Epoch(val) [9][4920/6282] eta: 0:01:02 time: 0.0448 data_time: 0.0066 memory: 735 2022/12/03 22:05:08 - mmengine - INFO - Epoch(val) [9][4940/6282] eta: 0:01:02 time: 0.0470 data_time: 0.0050 memory: 735 2022/12/03 22:05:08 - mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:01 time: 0.0461 data_time: 0.0041 memory: 735 2022/12/03 22:05:09 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:00 time: 0.0481 data_time: 0.0046 memory: 735 2022/12/03 22:05:10 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:00:59 time: 0.0457 data_time: 0.0048 memory: 735 2022/12/03 22:05:11 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:00:58 time: 0.0443 data_time: 0.0045 memory: 735 2022/12/03 22:05:12 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:00:57 time: 0.0430 data_time: 0.0040 memory: 678 2022/12/03 22:05:13 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:00:56 time: 0.0421 data_time: 0.0037 memory: 678 2022/12/03 22:05:14 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:00:55 time: 0.0420 data_time: 0.0045 memory: 678 2022/12/03 22:05:15 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:00:54 time: 0.0434 data_time: 0.0054 memory: 678 2022/12/03 22:05:16 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:00:53 time: 0.0429 data_time: 0.0042 memory: 678 2022/12/03 22:05:16 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:00:52 time: 0.0425 data_time: 0.0049 memory: 674 2022/12/03 22:05:17 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:00:51 time: 0.0421 data_time: 0.0067 memory: 674 2022/12/03 22:05:18 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:00:50 time: 0.0403 data_time: 0.0036 memory: 674 2022/12/03 22:05:19 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:00:49 time: 0.0428 data_time: 0.0046 memory: 674 2022/12/03 22:05:20 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:00:48 time: 0.0427 data_time: 0.0056 memory: 674 2022/12/03 22:05:21 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:00:47 time: 0.0407 data_time: 0.0049 memory: 672 2022/12/03 22:05:21 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:00:47 time: 0.0421 data_time: 0.0047 memory: 672 2022/12/03 22:05:22 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:00:46 time: 0.0431 data_time: 0.0052 memory: 672 2022/12/03 22:05:23 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:00:45 time: 0.0424 data_time: 0.0047 memory: 672 2022/12/03 22:05:24 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:00:44 time: 0.0422 data_time: 0.0059 memory: 674 2022/12/03 22:05:25 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:00:43 time: 0.0423 data_time: 0.0056 memory: 674 2022/12/03 22:05:26 - mmengine - INFO - Epoch(val) [9][5360/6282] eta: 0:00:42 time: 0.0415 data_time: 0.0044 memory: 674 2022/12/03 22:05:27 - mmengine - INFO - Epoch(val) [9][5380/6282] eta: 0:00:41 time: 0.0421 data_time: 0.0048 memory: 674 2022/12/03 22:05:27 - mmengine - INFO - Epoch(val) [9][5400/6282] eta: 0:00:40 time: 0.0424 data_time: 0.0051 memory: 674 2022/12/03 22:05:28 - mmengine - INFO - Epoch(val) [9][5420/6282] eta: 0:00:39 time: 0.0399 data_time: 0.0050 memory: 674 2022/12/03 22:05:29 - mmengine - INFO - Epoch(val) [9][5440/6282] eta: 0:00:38 time: 0.0423 data_time: 0.0055 memory: 674 2022/12/03 22:05:30 - mmengine - INFO - Epoch(val) [9][5460/6282] eta: 0:00:37 time: 0.0420 data_time: 0.0055 memory: 674 2022/12/03 22:05:31 - mmengine - INFO - Epoch(val) [9][5480/6282] eta: 0:00:36 time: 0.0416 data_time: 0.0069 memory: 674 2022/12/03 22:05:32 - mmengine - INFO - Epoch(val) [9][5500/6282] eta: 0:00:35 time: 0.0409 data_time: 0.0053 memory: 674 2022/12/03 22:05:33 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:34 time: 0.0432 data_time: 0.0055 memory: 694 2022/12/03 22:05:33 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:34 time: 0.0435 data_time: 0.0062 memory: 694 2022/12/03 22:05:34 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:33 time: 0.0411 data_time: 0.0035 memory: 694 2022/12/03 22:05:35 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:32 time: 0.0446 data_time: 0.0055 memory: 694 2022/12/03 22:05:36 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:31 time: 0.0416 data_time: 0.0040 memory: 694 2022/12/03 22:05:37 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:30 time: 0.0437 data_time: 0.0069 memory: 694 2022/12/03 22:05:38 - mmengine - INFO - Epoch(val) 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0:00:22 time: 0.0410 data_time: 0.0039 memory: 707 2022/12/03 22:05:45 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:21 time: 0.0426 data_time: 0.0047 memory: 707 2022/12/03 22:05:46 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:20 time: 0.0414 data_time: 0.0039 memory: 694 2022/12/03 22:05:47 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:19 time: 0.0414 data_time: 0.0050 memory: 694 2022/12/03 22:05:48 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:18 time: 0.0418 data_time: 0.0050 memory: 694 2022/12/03 22:05:49 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:17 time: 0.0402 data_time: 0.0042 memory: 694 2022/12/03 22:05:49 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:16 time: 0.0390 data_time: 0.0057 memory: 694 2022/12/03 22:05:50 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:15 time: 0.0337 data_time: 0.0030 memory: 674 2022/12/03 22:05:51 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:14 time: 0.0314 data_time: 0.0023 memory: 674 2022/12/03 22:05:51 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:13 time: 0.0299 data_time: 0.0017 memory: 674 2022/12/03 22:05:52 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:12 time: 0.0324 data_time: 0.0020 memory: 732 2022/12/03 22:05:53 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:11 time: 0.0342 data_time: 0.0020 memory: 732 2022/12/03 22:05:53 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:10 time: 0.0335 data_time: 0.0019 memory: 732 2022/12/03 22:05:54 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:10 time: 0.0337 data_time: 0.0020 memory: 732 2022/12/03 22:05:55 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:09 time: 0.0338 data_time: 0.0020 memory: 732 2022/12/03 22:05:55 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:08 time: 0.0335 data_time: 0.0020 memory: 732 2022/12/03 22:05:56 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:07 time: 0.0335 data_time: 0.0020 memory: 732 2022/12/03 22:05:57 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:06 time: 0.0336 data_time: 0.0019 memory: 732 2022/12/03 22:05:57 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:05 time: 0.0336 data_time: 0.0021 memory: 732 2022/12/03 22:05:58 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:04 time: 0.0329 data_time: 0.0017 memory: 732 2022/12/03 22:05:59 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:03 time: 0.0330 data_time: 0.0017 memory: 732 2022/12/03 22:05:59 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:02 time: 0.0326 data_time: 0.0016 memory: 732 2022/12/03 22:06:00 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:01 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 22:06:01 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:00 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 22:06:01 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0321 data_time: 0.0014 memory: 732 2022/12/03 22:09:16 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.2784 2022/12/03 22:09:16 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb/best_mAP/mAP@0.5IOU_epoch_8.pth is removed 2022/12/03 22:09:18 - mmengine - INFO - The best checkpoint with 0.2784 mAP/mAP@0.5IOU at 9 epoch is saved to best_mAP/mAP@0.5IOU_epoch_9.pth. 2022/12/03 22:09:25 - mmengine - INFO - Epoch(train) [10][ 20/4451] lr: 3.7740e-03 eta: 0:23:40 time: 0.3340 data_time: 0.0266 memory: 8510 grad_norm: 0.2074 loss: 0.0350 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.8889 recall@top3: 0.8981 prec@top3: 0.8148 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0350 2022/12/03 22:09:31 - mmengine - INFO - Epoch(train) [10][ 40/4451] lr: 3.7405e-03 eta: 0:23:33 time: 0.3213 data_time: 0.0123 memory: 8510 grad_norm: 0.2010 loss: 0.0361 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6746 recall@top3: 0.8175 prec@top3: 0.6508 recall@top5: 0.9206 prec@top5: 0.4476 loss_action_cls: 0.0361 2022/12/03 22:09:38 - mmengine - INFO - Epoch(train) [10][ 60/4451] lr: 3.7070e-03 eta: 0:23:27 time: 0.3199 data_time: 0.0105 memory: 8510 grad_norm: 0.1894 loss: 0.0350 recall@thr=0.5: 0.7614 prec@thr=0.5: 0.8342 recall@top3: 0.8737 prec@top3: 0.6667 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0350 2022/12/03 22:09:44 - mmengine - INFO - Epoch(train) [10][ 80/4451] lr: 3.6738e-03 eta: 0:23:20 time: 0.3198 data_time: 0.0101 memory: 8510 grad_norm: 0.1934 loss: 0.0408 recall@thr=0.5: 0.6361 prec@thr=0.5: 0.7778 recall@top3: 0.7417 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.6000 loss_action_cls: 0.0408 2022/12/03 22:09:51 - mmengine - INFO - Epoch(train) [10][ 100/4451] lr: 3.6407e-03 eta: 0:23:14 time: 0.3205 data_time: 0.0103 memory: 8510 grad_norm: 0.2035 loss: 0.0408 recall@thr=0.5: 0.6360 prec@thr=0.5: 0.7105 recall@top3: 0.8728 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0408 2022/12/03 22:09:57 - mmengine - INFO - Epoch(train) [10][ 120/4451] lr: 3.6077e-03 eta: 0:23:08 time: 0.3209 data_time: 0.0115 memory: 8510 grad_norm: 0.1975 loss: 0.0344 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.9062 recall@top3: 0.9323 prec@top3: 0.6458 recall@top5: 0.9792 prec@top5: 0.4125 loss_action_cls: 0.0344 2022/12/03 22:10:03 - mmengine - INFO - Epoch(train) [10][ 140/4451] lr: 3.5748e-03 eta: 0:23:01 time: 0.3198 data_time: 0.0098 memory: 8510 grad_norm: 0.1921 loss: 0.0369 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9167 recall@top3: 0.9074 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0369 2022/12/03 22:10:10 - mmengine - INFO - Epoch(train) [10][ 160/4451] lr: 3.5422e-03 eta: 0:22:55 time: 0.3200 data_time: 0.0097 memory: 8510 grad_norm: 0.1963 loss: 0.0386 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5417 recall@top3: 0.7083 prec@top3: 0.5278 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0386 2022/12/03 22:10:16 - mmengine - INFO - Epoch(train) [10][ 180/4451] lr: 3.5096e-03 eta: 0:22:48 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.1957 loss: 0.0397 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.8000 recall@top3: 0.7533 prec@top3: 0.6222 recall@top5: 0.9044 prec@top5: 0.4667 loss_action_cls: 0.0397 2022/12/03 22:10:23 - mmengine - INFO - Epoch(train) [10][ 200/4451] lr: 3.4772e-03 eta: 0:22:42 time: 0.3224 data_time: 0.0099 memory: 8510 grad_norm: 0.2080 loss: 0.0393 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.7593 recall@top3: 0.9444 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.3889 loss_action_cls: 0.0393 2022/12/03 22:10:29 - mmengine - INFO - Epoch(train) [10][ 220/4451] lr: 3.4450e-03 eta: 0:22:36 time: 0.3218 data_time: 0.0101 memory: 8510 grad_norm: 0.2130 loss: 0.0379 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8667 recall@top3: 0.7917 prec@top3: 0.6333 recall@top5: 0.9750 prec@top5: 0.4900 loss_action_cls: 0.0379 2022/12/03 22:10:36 - mmengine - INFO - Epoch(train) [10][ 240/4451] lr: 3.4129e-03 eta: 0:22:29 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.1945 loss: 0.0354 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9333 recall@top3: 0.9222 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0354 2022/12/03 22:10:42 - mmengine - INFO - Epoch(train) [10][ 260/4451] lr: 3.3809e-03 eta: 0:22:23 time: 0.3197 data_time: 0.0103 memory: 8510 grad_norm: 0.1969 loss: 0.0341 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.5370 recall@top5: 0.8611 prec@top5: 0.3333 loss_action_cls: 0.0341 2022/12/03 22:10:48 - mmengine - INFO - Epoch(train) [10][ 280/4451] lr: 3.3491e-03 eta: 0:22:16 time: 0.3204 data_time: 0.0099 memory: 8510 grad_norm: 0.2009 loss: 0.0362 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8254 recall@top3: 0.9365 prec@top3: 0.7937 recall@top5: 0.9722 prec@top5: 0.5048 loss_action_cls: 0.0362 2022/12/03 22:10:55 - mmengine - INFO - Epoch(train) [10][ 300/4451] lr: 3.3174e-03 eta: 0:22:10 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.2057 loss: 0.0349 recall@thr=0.5: 0.7767 prec@thr=0.5: 0.7889 recall@top3: 0.8600 prec@top3: 0.4889 recall@top5: 0.9867 prec@top5: 0.3600 loss_action_cls: 0.0349 2022/12/03 22:11:01 - mmengine - INFO - Epoch(train) [10][ 320/4451] lr: 3.2859e-03 eta: 0:22:04 time: 0.3204 data_time: 0.0100 memory: 8510 grad_norm: 0.2057 loss: 0.0349 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.9216 recall@top3: 0.9412 prec@top3: 0.5686 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0349 2022/12/03 22:11:08 - mmengine - INFO - Epoch(train) [10][ 340/4451] lr: 3.2545e-03 eta: 0:21:57 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.1961 loss: 0.0392 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6667 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 0.9833 prec@top5: 0.4000 loss_action_cls: 0.0392 2022/12/03 22:11:14 - mmengine - INFO - Epoch(train) [10][ 360/4451] lr: 3.2232e-03 eta: 0:21:51 time: 0.3212 data_time: 0.0112 memory: 8510 grad_norm: 0.2015 loss: 0.0365 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.7544 recall@top3: 0.7719 prec@top3: 0.6491 recall@top5: 0.9561 prec@top5: 0.4842 loss_action_cls: 0.0365 2022/12/03 22:11:21 - mmengine - INFO - Epoch(train) [10][ 380/4451] lr: 3.1922e-03 eta: 0:21:44 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.1995 loss: 0.0393 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.6833 recall@top3: 0.7857 prec@top3: 0.6825 recall@top5: 0.8889 prec@top5: 0.4762 loss_action_cls: 0.0393 2022/12/03 22:11:27 - mmengine - INFO - Epoch(train) [10][ 400/4451] lr: 3.1612e-03 eta: 0:21:38 time: 0.3207 data_time: 0.0109 memory: 8510 grad_norm: 0.1983 loss: 0.0355 recall@thr=0.5: 0.6505 prec@thr=0.5: 0.7903 recall@top3: 0.7500 prec@top3: 0.7097 recall@top5: 0.9355 prec@top5: 0.5355 loss_action_cls: 0.0355 2022/12/03 22:11:33 - mmengine - INFO - Epoch(train) [10][ 420/4451] lr: 3.1304e-03 eta: 0:21:32 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.1981 loss: 0.0375 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.7500 recall@top3: 0.7992 prec@top3: 0.6970 recall@top5: 0.9356 prec@top5: 0.4636 loss_action_cls: 0.0375 2022/12/03 22:11:40 - mmengine - INFO - Epoch(train) [10][ 440/4451] lr: 3.0998e-03 eta: 0:21:25 time: 0.3215 data_time: 0.0101 memory: 8510 grad_norm: 0.1995 loss: 0.0351 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6574 recall@top3: 0.7407 prec@top3: 0.5926 recall@top5: 0.9074 prec@top5: 0.4444 loss_action_cls: 0.0351 2022/12/03 22:11:46 - mmengine - INFO - Epoch(train) [10][ 460/4451] lr: 3.0692e-03 eta: 0:21:19 time: 0.3212 data_time: 0.0109 memory: 8510 grad_norm: 0.1914 loss: 0.0391 recall@thr=0.5: 0.6843 prec@thr=0.5: 0.8990 recall@top3: 0.8030 prec@top3: 0.8788 recall@top5: 0.9495 prec@top5: 0.6303 loss_action_cls: 0.0391 2022/12/03 22:11:53 - mmengine - INFO - Epoch(train) [10][ 480/4451] lr: 3.0389e-03 eta: 0:21:12 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.2040 loss: 0.0385 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7727 recall@top3: 0.7477 prec@top3: 0.7727 recall@top5: 0.8795 prec@top5: 0.5545 loss_action_cls: 0.0385 2022/12/03 22:11:59 - mmengine - INFO - Epoch(train) [10][ 500/4451] lr: 3.0087e-03 eta: 0:21:06 time: 0.3212 data_time: 0.0120 memory: 8510 grad_norm: 0.2062 loss: 0.0389 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6863 recall@top3: 0.6863 prec@top3: 0.4314 recall@top5: 0.8529 prec@top5: 0.3412 loss_action_cls: 0.0389 2022/12/03 22:12:05 - mmengine - INFO - Epoch(train) [10][ 520/4451] lr: 2.9786e-03 eta: 0:20:59 time: 0.3201 data_time: 0.0098 memory: 8510 grad_norm: 0.2126 loss: 0.0348 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6111 recall@top3: 0.7901 prec@top3: 0.5309 recall@top5: 0.9506 prec@top5: 0.3852 loss_action_cls: 0.0348 2022/12/03 22:12:12 - mmengine - INFO - Epoch(train) [10][ 540/4451] lr: 2.9487e-03 eta: 0:20:53 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.2006 loss: 0.0340 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8095 recall@top3: 0.8810 prec@top3: 0.6667 recall@top5: 0.9841 prec@top5: 0.4476 loss_action_cls: 0.0340 2022/12/03 22:12:18 - mmengine - INFO - Epoch(train) [10][ 560/4451] lr: 2.9189e-03 eta: 0:20:47 time: 0.3224 data_time: 0.0102 memory: 8510 grad_norm: 0.2039 loss: 0.0296 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.9306 recall@top3: 0.8889 prec@top3: 0.6296 recall@top5: 0.9259 prec@top5: 0.4000 loss_action_cls: 0.0296 2022/12/03 22:12:25 - mmengine - INFO - Epoch(train) [10][ 580/4451] lr: 2.8893e-03 eta: 0:20:40 time: 0.3207 data_time: 0.0106 memory: 8510 grad_norm: 0.2038 loss: 0.0352 recall@thr=0.5: 0.6442 prec@thr=0.5: 0.7308 recall@top3: 0.9167 prec@top3: 0.7051 recall@top5: 0.9744 prec@top5: 0.4692 loss_action_cls: 0.0352 2022/12/03 22:12:31 - mmengine - INFO - Epoch(train) [10][ 600/4451] lr: 2.8598e-03 eta: 0:20:34 time: 0.3213 data_time: 0.0108 memory: 8510 grad_norm: 0.2028 loss: 0.0377 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8182 recall@top3: 0.8561 prec@top3: 0.6212 recall@top5: 0.9318 prec@top5: 0.4091 loss_action_cls: 0.0377 2022/12/03 22:12:38 - mmengine - INFO - Epoch(train) [10][ 620/4451] lr: 2.8304e-03 eta: 0:20:27 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.2029 loss: 0.0365 recall@thr=0.5: 0.8681 prec@thr=0.5: 0.9167 recall@top3: 0.9062 prec@top3: 0.8611 recall@top5: 0.9688 prec@top5: 0.5667 loss_action_cls: 0.0365 2022/12/03 22:12:44 - mmengine - INFO - Epoch(train) [10][ 640/4451] lr: 2.8013e-03 eta: 0:20:21 time: 0.3211 data_time: 0.0109 memory: 8510 grad_norm: 0.2034 loss: 0.0337 recall@thr=0.5: 0.8929 prec@thr=0.5: 0.9167 recall@top3: 0.9643 prec@top3: 0.7381 recall@top5: 0.9643 prec@top5: 0.4429 loss_action_cls: 0.0337 2022/12/03 22:12:50 - mmengine - INFO - Epoch(train) [10][ 660/4451] lr: 2.7722e-03 eta: 0:20:15 time: 0.3201 data_time: 0.0114 memory: 8510 grad_norm: 0.1971 loss: 0.0344 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8556 recall@top3: 0.9222 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0344 2022/12/03 22:12:57 - mmengine - INFO - Epoch(train) [10][ 680/4451] lr: 2.7433e-03 eta: 0:20:08 time: 0.3203 data_time: 0.0099 memory: 8510 grad_norm: 0.2042 loss: 0.0375 recall@thr=0.5: 0.6133 prec@thr=0.5: 0.6000 recall@top3: 0.7200 prec@top3: 0.5067 recall@top5: 0.8800 prec@top5: 0.3680 loss_action_cls: 0.0375 2022/12/03 22:13:03 - mmengine - INFO - Epoch(train) [10][ 700/4451] lr: 2.7146e-03 eta: 0:20:02 time: 0.3212 data_time: 0.0100 memory: 8510 grad_norm: 0.1986 loss: 0.0355 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.6429 recall@top3: 0.8810 prec@top3: 0.5000 recall@top5: 0.9643 prec@top5: 0.3429 loss_action_cls: 0.0355 2022/12/03 22:13:10 - mmengine - INFO - Epoch(train) [10][ 720/4451] lr: 2.6860e-03 eta: 0:19:55 time: 0.3208 data_time: 0.0099 memory: 8510 grad_norm: 0.1958 loss: 0.0394 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5260 recall@top3: 0.8333 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0394 2022/12/03 22:13:16 - mmengine - INFO - Epoch(train) [10][ 740/4451] lr: 2.6575e-03 eta: 0:19:49 time: 0.3209 data_time: 0.0099 memory: 8510 grad_norm: 0.2011 loss: 0.0368 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6852 recall@top3: 0.6917 prec@top3: 0.5556 recall@top5: 0.8250 prec@top5: 0.4111 loss_action_cls: 0.0368 2022/12/03 22:13:23 - mmengine - INFO - Epoch(train) [10][ 760/4451] lr: 2.6292e-03 eta: 0:19:43 time: 0.3214 data_time: 0.0119 memory: 8510 grad_norm: 0.1999 loss: 0.0398 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8750 recall@top3: 0.8958 prec@top3: 0.6875 recall@top5: 0.8958 prec@top5: 0.4125 loss_action_cls: 0.0398 2022/12/03 22:13:29 - mmengine - INFO - Epoch(train) [10][ 780/4451] lr: 2.6010e-03 eta: 0:19:36 time: 0.3195 data_time: 0.0103 memory: 8510 grad_norm: 0.2034 loss: 0.0337 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.7000 recall@top3: 0.8444 prec@top3: 0.6222 recall@top5: 0.9222 prec@top5: 0.4133 loss_action_cls: 0.0337 2022/12/03 22:13:35 - mmengine - INFO - Epoch(train) [10][ 800/4451] lr: 2.5730e-03 eta: 0:19:30 time: 0.3203 data_time: 0.0098 memory: 8510 grad_norm: 0.1970 loss: 0.0340 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8704 recall@top3: 0.9074 prec@top3: 0.6852 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0340 2022/12/03 22:13:42 - mmengine - INFO - Epoch(train) [10][ 820/4451] lr: 2.5452e-03 eta: 0:19:23 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.2096 loss: 0.0383 recall@thr=0.5: 0.7113 prec@thr=0.5: 0.8720 recall@top3: 0.8690 prec@top3: 0.6786 recall@top5: 0.8899 prec@top5: 0.4214 loss_action_cls: 0.0383 2022/12/03 22:13:48 - mmengine - INFO - Epoch(train) [10][ 840/4451] lr: 2.5175e-03 eta: 0:19:17 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.2081 loss: 0.0376 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9167 recall@top3: 1.0000 prec@top3: 0.6389 recall@top5: 1.0000 prec@top5: 0.3833 loss_action_cls: 0.0376 2022/12/03 22:13:55 - mmengine - INFO - Epoch(train) [10][ 860/4451] lr: 2.4899e-03 eta: 0:19:10 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.2013 loss: 0.0353 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.9444 recall@top3: 0.9120 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4222 loss_action_cls: 0.0353 2022/12/03 22:14:01 - mmengine - INFO - Epoch(train) [10][ 880/4451] lr: 2.4625e-03 eta: 0:19:04 time: 0.3198 data_time: 0.0113 memory: 8510 grad_norm: 0.2126 loss: 0.0360 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7619 recall@top3: 0.8246 prec@top3: 0.6984 recall@top5: 0.8857 prec@top5: 0.4667 loss_action_cls: 0.0360 2022/12/03 22:14:07 - mmengine - INFO - Epoch(train) [10][ 900/4451] lr: 2.4352e-03 eta: 0:18:58 time: 0.3196 data_time: 0.0099 memory: 8510 grad_norm: 0.2038 loss: 0.0375 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.8371 recall@top3: 0.7311 prec@top3: 0.6212 recall@top5: 0.8977 prec@top5: 0.4909 loss_action_cls: 0.0375 2022/12/03 22:14:14 - mmengine - INFO - Epoch(train) [10][ 920/4451] lr: 2.4081e-03 eta: 0:18:51 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.1964 loss: 0.0417 recall@thr=0.5: 0.6420 prec@thr=0.5: 0.7072 recall@top3: 0.7188 prec@top3: 0.5362 recall@top5: 0.8522 prec@top5: 0.4000 loss_action_cls: 0.0417 2022/12/03 22:14:20 - mmengine - INFO - Epoch(train) [10][ 940/4451] lr: 2.3811e-03 eta: 0:18:45 time: 0.3196 data_time: 0.0106 memory: 8510 grad_norm: 0.2070 loss: 0.0348 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8333 recall@top3: 1.0000 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0348 2022/12/03 22:14:21 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 22:14:27 - mmengine - INFO - Epoch(train) [10][ 960/4451] lr: 2.3543e-03 eta: 0:18:38 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.2091 loss: 0.0406 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.7778 recall@top3: 0.8241 prec@top3: 0.6667 recall@top5: 0.9398 prec@top5: 0.4667 loss_action_cls: 0.0406 2022/12/03 22:14:33 - mmengine - INFO - Epoch(train) [10][ 980/4451] lr: 2.3276e-03 eta: 0:18:32 time: 0.3213 data_time: 0.0103 memory: 8510 grad_norm: 0.2001 loss: 0.0351 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7698 recall@top3: 0.8730 prec@top3: 0.6190 recall@top5: 0.8889 prec@top5: 0.3810 loss_action_cls: 0.0351 2022/12/03 22:14:40 - mmengine - INFO - Epoch(train) [10][1000/4451] lr: 2.3011e-03 eta: 0:18:26 time: 0.3218 data_time: 0.0103 memory: 8510 grad_norm: 0.2126 loss: 0.0384 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.8375 recall@top3: 0.8917 prec@top3: 0.6833 recall@top5: 0.9542 prec@top5: 0.4500 loss_action_cls: 0.0384 2022/12/03 22:14:46 - mmengine - INFO - Epoch(train) [10][1020/4451] lr: 2.2747e-03 eta: 0:18:19 time: 0.3208 data_time: 0.0101 memory: 8510 grad_norm: 0.2110 loss: 0.0356 recall@thr=0.5: 0.6914 prec@thr=0.5: 0.7809 recall@top3: 0.7994 prec@top3: 0.6173 recall@top5: 0.9136 prec@top5: 0.4444 loss_action_cls: 0.0356 2022/12/03 22:14:52 - mmengine - INFO - Epoch(train) [10][1040/4451] lr: 2.2484e-03 eta: 0:18:13 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.2028 loss: 0.0372 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6562 recall@top3: 0.8906 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0372 2022/12/03 22:14:59 - mmengine - INFO - Epoch(train) [10][1060/4451] lr: 2.2224e-03 eta: 0:18:06 time: 0.3202 data_time: 0.0100 memory: 8510 grad_norm: 0.1973 loss: 0.0361 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.7167 recall@top3: 0.9208 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0361 2022/12/03 22:15:05 - mmengine - INFO - Epoch(train) [10][1080/4451] lr: 2.1964e-03 eta: 0:18:00 time: 0.3229 data_time: 0.0102 memory: 8510 grad_norm: 0.2036 loss: 0.0363 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.7941 recall@top3: 0.8725 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0363 2022/12/03 22:15:12 - mmengine - INFO - Epoch(train) [10][1100/4451] lr: 2.1706e-03 eta: 0:17:54 time: 0.3207 data_time: 0.0110 memory: 8510 grad_norm: 0.1951 loss: 0.0372 recall@thr=0.5: 0.6639 prec@thr=0.5: 0.7917 recall@top3: 0.7896 prec@top3: 0.7639 recall@top5: 0.9514 prec@top5: 0.5667 loss_action_cls: 0.0372 2022/12/03 22:15:18 - mmengine - INFO - Epoch(train) [10][1120/4451] lr: 2.1450e-03 eta: 0:17:47 time: 0.3213 data_time: 0.0102 memory: 8510 grad_norm: 0.2012 loss: 0.0389 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.9118 recall@top3: 0.8529 prec@top3: 0.7255 recall@top5: 0.9804 prec@top5: 0.5176 loss_action_cls: 0.0389 2022/12/03 22:15:24 - mmengine - INFO - Epoch(train) [10][1140/4451] lr: 2.1195e-03 eta: 0:17:41 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.2005 loss: 0.0384 recall@thr=0.5: 0.4979 prec@thr=0.5: 0.5104 recall@top3: 0.6896 prec@top3: 0.5417 recall@top5: 0.9062 prec@top5: 0.4500 loss_action_cls: 0.0384 2022/12/03 22:15:31 - mmengine - INFO - Epoch(train) [10][1160/4451] lr: 2.0942e-03 eta: 0:17:34 time: 0.3207 data_time: 0.0099 memory: 8510 grad_norm: 0.1917 loss: 0.0342 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.8393 recall@top3: 0.8571 prec@top3: 0.7857 recall@top5: 0.9226 prec@top5: 0.5143 loss_action_cls: 0.0342 2022/12/03 22:15:37 - mmengine - INFO - Epoch(train) [10][1180/4451] lr: 2.0690e-03 eta: 0:17:28 time: 0.3205 data_time: 0.0099 memory: 8510 grad_norm: 0.2002 loss: 0.0393 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7586 recall@top3: 0.7195 prec@top3: 0.6092 recall@top5: 0.8138 prec@top5: 0.4276 loss_action_cls: 0.0393 2022/12/03 22:15:44 - mmengine - INFO - Epoch(train) [10][1200/4451] lr: 2.0439e-03 eta: 0:17:22 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.1983 loss: 0.0407 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7500 recall@top3: 0.7167 prec@top3: 0.5667 recall@top5: 0.8917 prec@top5: 0.4400 loss_action_cls: 0.0407 2022/12/03 22:15:50 - mmengine - INFO - Epoch(train) [10][1220/4451] lr: 2.0190e-03 eta: 0:17:15 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.2007 loss: 0.0346 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9000 recall@top3: 1.0000 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0346 2022/12/03 22:15:57 - mmengine - INFO - Epoch(train) [10][1240/4451] lr: 1.9943e-03 eta: 0:17:09 time: 0.3214 data_time: 0.0103 memory: 8510 grad_norm: 0.2011 loss: 0.0387 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9444 recall@top3: 1.0000 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0387 2022/12/03 22:16:03 - mmengine - INFO - Epoch(train) [10][1260/4451] lr: 1.9697e-03 eta: 0:17:02 time: 0.3208 data_time: 0.0102 memory: 8510 grad_norm: 0.2006 loss: 0.0347 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.8437 recall@top3: 0.8854 prec@top3: 0.7083 recall@top5: 0.8854 prec@top5: 0.4250 loss_action_cls: 0.0347 2022/12/03 22:16:09 - mmengine - INFO - Epoch(train) [10][1280/4451] lr: 1.9452e-03 eta: 0:16:56 time: 0.3211 data_time: 0.0110 memory: 8510 grad_norm: 0.2040 loss: 0.0365 recall@thr=0.5: 0.4892 prec@thr=0.5: 0.5645 recall@top3: 0.6505 prec@top3: 0.5161 recall@top5: 0.8871 prec@top5: 0.4194 loss_action_cls: 0.0365 2022/12/03 22:16:16 - mmengine - INFO - Epoch(train) [10][1300/4451] lr: 1.9210e-03 eta: 0:16:49 time: 0.3201 data_time: 0.0098 memory: 8510 grad_norm: 0.2076 loss: 0.0357 recall@thr=0.5: 0.6235 prec@thr=0.5: 0.6728 recall@top3: 0.8395 prec@top3: 0.6914 recall@top5: 0.9877 prec@top5: 0.4889 loss_action_cls: 0.0357 2022/12/03 22:16:22 - mmengine - INFO - Epoch(train) [10][1320/4451] lr: 1.8968e-03 eta: 0:16:43 time: 0.3211 data_time: 0.0110 memory: 8510 grad_norm: 0.2018 loss: 0.0376 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.8759 recall@top3: 0.8574 prec@top3: 0.7037 recall@top5: 0.9528 prec@top5: 0.5000 loss_action_cls: 0.0376 2022/12/03 22:16:29 - mmengine - INFO - Epoch(train) [10][1340/4451] lr: 1.8728e-03 eta: 0:16:37 time: 0.3195 data_time: 0.0105 memory: 8510 grad_norm: 0.2026 loss: 0.0400 recall@thr=0.5: 0.5395 prec@thr=0.5: 0.6500 recall@top3: 0.7149 prec@top3: 0.5789 recall@top5: 0.9605 prec@top5: 0.4842 loss_action_cls: 0.0400 2022/12/03 22:16:35 - mmengine - INFO - Epoch(train) [10][1360/4451] lr: 1.8490e-03 eta: 0:16:30 time: 0.3208 data_time: 0.0098 memory: 8510 grad_norm: 0.2047 loss: 0.0366 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7368 recall@top3: 0.7807 prec@top3: 0.5088 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.0366 2022/12/03 22:16:42 - mmengine - INFO - Epoch(train) [10][1380/4451] lr: 1.8253e-03 eta: 0:16:24 time: 0.3213 data_time: 0.0103 memory: 8510 grad_norm: 0.1927 loss: 0.0397 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6667 recall@top3: 0.6778 prec@top3: 0.5778 recall@top5: 0.8222 prec@top5: 0.4400 loss_action_cls: 0.0397 2022/12/03 22:16:48 - mmengine - INFO - Epoch(train) [10][1400/4451] lr: 1.8017e-03 eta: 0:16:17 time: 0.3221 data_time: 0.0103 memory: 8510 grad_norm: 0.2049 loss: 0.0372 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.6343 recall@top3: 0.6991 prec@top3: 0.5556 recall@top5: 0.9352 prec@top5: 0.4556 loss_action_cls: 0.0372 2022/12/03 22:16:54 - mmengine - INFO - Epoch(train) [10][1420/4451] lr: 1.7783e-03 eta: 0:16:11 time: 0.3211 data_time: 0.0118 memory: 8510 grad_norm: 0.2031 loss: 0.0347 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.7958 recall@top3: 0.8000 prec@top3: 0.6667 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0347 2022/12/03 22:17:01 - mmengine - INFO - Epoch(train) [10][1440/4451] lr: 1.7551e-03 eta: 0:16:05 time: 0.3211 data_time: 0.0100 memory: 8510 grad_norm: 0.1992 loss: 0.0374 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.8913 recall@top3: 0.9167 prec@top3: 0.7536 recall@top5: 0.9746 prec@top5: 0.4957 loss_action_cls: 0.0374 2022/12/03 22:17:07 - mmengine - INFO - Epoch(train) [10][1460/4451] lr: 1.7320e-03 eta: 0:15:58 time: 0.3208 data_time: 0.0097 memory: 8510 grad_norm: 0.2042 loss: 0.0369 recall@thr=0.5: 0.6608 prec@thr=0.5: 0.7675 recall@top3: 0.7825 prec@top3: 0.7833 recall@top5: 0.9500 prec@top5: 0.6000 loss_action_cls: 0.0369 2022/12/03 22:17:14 - mmengine - INFO - Epoch(train) [10][1480/4451] lr: 1.7090e-03 eta: 0:15:52 time: 0.3217 data_time: 0.0100 memory: 8510 grad_norm: 0.2018 loss: 0.0388 recall@thr=0.5: 0.6468 prec@thr=0.5: 0.7619 recall@top3: 0.7460 prec@top3: 0.6508 recall@top5: 0.9167 prec@top5: 0.4857 loss_action_cls: 0.0388 2022/12/03 22:17:20 - mmengine - INFO - Epoch(train) [10][1500/4451] lr: 1.6862e-03 eta: 0:15:45 time: 0.3216 data_time: 0.0097 memory: 8510 grad_norm: 0.2079 loss: 0.0329 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.7963 recall@top3: 0.8056 prec@top3: 0.7778 recall@top5: 0.9722 prec@top5: 0.5667 loss_action_cls: 0.0329 2022/12/03 22:17:27 - mmengine - INFO - Epoch(train) [10][1520/4451] lr: 1.6636e-03 eta: 0:15:39 time: 0.3201 data_time: 0.0097 memory: 8510 grad_norm: 0.1998 loss: 0.0390 recall@thr=0.5: 0.5774 prec@thr=0.5: 0.7976 recall@top3: 0.7738 prec@top3: 0.6667 recall@top5: 0.9464 prec@top5: 0.5143 loss_action_cls: 0.0390 2022/12/03 22:17:33 - mmengine - INFO - Epoch(train) [10][1540/4451] lr: 1.6411e-03 eta: 0:15:33 time: 0.3209 data_time: 0.0100 memory: 8510 grad_norm: 0.2022 loss: 0.0365 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9167 recall@top3: 0.9062 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.3750 loss_action_cls: 0.0365 2022/12/03 22:17:39 - mmengine - INFO - Epoch(train) [10][1560/4451] lr: 1.6188e-03 eta: 0:15:26 time: 0.3205 data_time: 0.0101 memory: 8510 grad_norm: 0.2021 loss: 0.0356 recall@thr=0.5: 0.8296 prec@thr=0.5: 0.9259 recall@top3: 0.9139 prec@top3: 0.8519 recall@top5: 0.9583 prec@top5: 0.5556 loss_action_cls: 0.0356 2022/12/03 22:17:46 - mmengine - INFO - Epoch(train) [10][1580/4451] lr: 1.5966e-03 eta: 0:15:20 time: 0.3210 data_time: 0.0100 memory: 8510 grad_norm: 0.1934 loss: 0.0377 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.5889 recall@top3: 0.7444 prec@top3: 0.4778 recall@top5: 0.8611 prec@top5: 0.3333 loss_action_cls: 0.0377 2022/12/03 22:17:52 - mmengine - INFO - Epoch(train) [10][1600/4451] lr: 1.5745e-03 eta: 0:15:13 time: 0.3225 data_time: 0.0098 memory: 8510 grad_norm: 0.2010 loss: 0.0353 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.9062 recall@top3: 0.8646 prec@top3: 0.6042 recall@top5: 0.9792 prec@top5: 0.4250 loss_action_cls: 0.0353 2022/12/03 22:17:59 - mmengine - INFO - Epoch(train) [10][1620/4451] lr: 1.5526e-03 eta: 0:15:07 time: 0.3209 data_time: 0.0107 memory: 8510 grad_norm: 0.2031 loss: 0.0383 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6275 recall@top3: 0.8627 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.3882 loss_action_cls: 0.0383 2022/12/03 22:18:05 - mmengine - INFO - Epoch(train) [10][1640/4451] lr: 1.5309e-03 eta: 0:15:01 time: 0.3219 data_time: 0.0099 memory: 8510 grad_norm: 0.1998 loss: 0.0380 recall@thr=0.5: 0.7206 prec@thr=0.5: 0.7941 recall@top3: 0.9167 prec@top3: 0.6471 recall@top5: 0.9608 prec@top5: 0.4118 loss_action_cls: 0.0380 2022/12/03 22:18:12 - mmengine - INFO - Epoch(train) [10][1660/4451] lr: 1.5093e-03 eta: 0:14:54 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.1974 loss: 0.0347 recall@thr=0.5: 0.6375 prec@thr=0.5: 0.8150 recall@top3: 0.9250 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0347 2022/12/03 22:18:18 - mmengine - INFO - Epoch(train) [10][1680/4451] lr: 1.4879e-03 eta: 0:14:48 time: 0.3207 data_time: 0.0098 memory: 8510 grad_norm: 0.2076 loss: 0.0374 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6667 recall@top3: 0.7024 prec@top3: 0.4762 recall@top5: 0.9206 prec@top5: 0.3714 loss_action_cls: 0.0374 2022/12/03 22:18:24 - mmengine - INFO - Epoch(train) [10][1700/4451] lr: 1.4666e-03 eta: 0:14:41 time: 0.3212 data_time: 0.0096 memory: 8510 grad_norm: 0.2089 loss: 0.0318 recall@thr=0.5: 0.5307 prec@thr=0.5: 0.6053 recall@top3: 0.8114 prec@top3: 0.4123 recall@top5: 0.8553 prec@top5: 0.2684 loss_action_cls: 0.0318 2022/12/03 22:18:31 - mmengine - INFO - Epoch(train) [10][1720/4451] lr: 1.4454e-03 eta: 0:14:35 time: 0.3208 data_time: 0.0102 memory: 8510 grad_norm: 0.1998 loss: 0.0372 recall@thr=0.5: 0.5761 prec@thr=0.5: 0.6377 recall@top3: 0.7391 prec@top3: 0.7101 recall@top5: 0.9348 prec@top5: 0.5391 loss_action_cls: 0.0372 2022/12/03 22:18:37 - mmengine - INFO - Epoch(train) [10][1740/4451] lr: 1.4245e-03 eta: 0:14:28 time: 0.3214 data_time: 0.0098 memory: 8510 grad_norm: 0.2014 loss: 0.0374 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6713 recall@top3: 0.5370 prec@top3: 0.4630 recall@top5: 0.6667 prec@top5: 0.3667 loss_action_cls: 0.0374 2022/12/03 22:18:44 - mmengine - INFO - Epoch(train) [10][1760/4451] lr: 1.4036e-03 eta: 0:14:22 time: 0.3206 data_time: 0.0105 memory: 8510 grad_norm: 0.2044 loss: 0.0388 recall@thr=0.5: 0.6899 prec@thr=0.5: 0.8551 recall@top3: 0.8348 prec@top3: 0.7391 recall@top5: 0.9384 prec@top5: 0.5217 loss_action_cls: 0.0388 2022/12/03 22:18:50 - mmengine - INFO - Epoch(train) [10][1780/4451] lr: 1.3829e-03 eta: 0:14:16 time: 0.3204 data_time: 0.0096 memory: 8510 grad_norm: 0.2089 loss: 0.0364 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.8611 recall@top3: 0.6750 prec@top3: 0.7037 recall@top5: 0.8611 prec@top5: 0.5778 loss_action_cls: 0.0364 2022/12/03 22:18:56 - mmengine - INFO - Epoch(train) [10][1800/4451] lr: 1.3624e-03 eta: 0:14:09 time: 0.3220 data_time: 0.0103 memory: 8510 grad_norm: 0.1914 loss: 0.0374 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8696 recall@top3: 0.8652 prec@top3: 0.7391 recall@top5: 0.9826 prec@top5: 0.5304 loss_action_cls: 0.0374 2022/12/03 22:19:03 - mmengine - INFO - Epoch(train) [10][1820/4451] lr: 1.3420e-03 eta: 0:14:03 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.2093 loss: 0.0371 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8833 recall@top3: 0.9833 prec@top3: 0.6333 recall@top5: 0.9833 prec@top5: 0.3800 loss_action_cls: 0.0371 2022/12/03 22:19:09 - mmengine - INFO - Epoch(train) [10][1840/4451] lr: 1.3218e-03 eta: 0:13:56 time: 0.3213 data_time: 0.0112 memory: 8510 grad_norm: 0.1997 loss: 0.0339 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7353 recall@top3: 0.8824 prec@top3: 0.6078 recall@top5: 0.9608 prec@top5: 0.4118 loss_action_cls: 0.0339 2022/12/03 22:19:16 - mmengine - INFO - Epoch(train) [10][1860/4451] lr: 1.3017e-03 eta: 0:13:50 time: 0.3201 data_time: 0.0096 memory: 8510 grad_norm: 0.2043 loss: 0.0378 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.5833 recall@top3: 0.8690 prec@top3: 0.5238 recall@top5: 0.9375 prec@top5: 0.3643 loss_action_cls: 0.0378 2022/12/03 22:19:22 - mmengine - INFO - Epoch(train) [10][1880/4451] lr: 1.2818e-03 eta: 0:13:44 time: 0.3201 data_time: 0.0101 memory: 8510 grad_norm: 0.1999 loss: 0.0367 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7101 recall@top3: 0.7283 prec@top3: 0.5217 recall@top5: 0.8261 prec@top5: 0.3652 loss_action_cls: 0.0367 2022/12/03 22:19:29 - mmengine - INFO - Epoch(train) [10][1900/4451] lr: 1.2620e-03 eta: 0:13:37 time: 0.3203 data_time: 0.0101 memory: 8510 grad_norm: 0.2048 loss: 0.0377 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.7540 recall@top3: 0.7421 prec@top3: 0.7302 recall@top5: 0.9405 prec@top5: 0.5619 loss_action_cls: 0.0377 2022/12/03 22:19:35 - mmengine - INFO - Epoch(train) [10][1920/4451] lr: 1.2424e-03 eta: 0:13:31 time: 0.3199 data_time: 0.0102 memory: 8510 grad_norm: 0.2077 loss: 0.0364 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7500 recall@top3: 0.7803 prec@top3: 0.7121 recall@top5: 0.9697 prec@top5: 0.5273 loss_action_cls: 0.0364 2022/12/03 22:19:41 - mmengine - INFO - Epoch(train) [10][1940/4451] lr: 1.2229e-03 eta: 0:13:24 time: 0.3213 data_time: 0.0106 memory: 8510 grad_norm: 0.2051 loss: 0.0393 recall@thr=0.5: 0.8490 prec@thr=0.5: 0.7740 recall@top3: 0.8438 prec@top3: 0.7083 recall@top5: 0.9531 prec@top5: 0.4875 loss_action_cls: 0.0393 2022/12/03 22:19:42 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 22:19:48 - mmengine - INFO - Epoch(train) [10][1960/4451] lr: 1.2036e-03 eta: 0:13:18 time: 0.3216 data_time: 0.0098 memory: 8510 grad_norm: 0.2027 loss: 0.0378 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.7500 recall@top3: 0.8182 prec@top3: 0.5606 recall@top5: 0.9432 prec@top5: 0.4182 loss_action_cls: 0.0378 2022/12/03 22:19:54 - mmengine - INFO - Epoch(train) [10][1980/4451] lr: 1.1845e-03 eta: 0:13:12 time: 0.3215 data_time: 0.0103 memory: 8510 grad_norm: 0.2097 loss: 0.0428 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.5476 recall@top3: 0.8690 prec@top3: 0.5952 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0428 2022/12/03 22:20:01 - mmengine - INFO - Epoch(train) [10][2000/4451] lr: 1.1654e-03 eta: 0:13:05 time: 0.3199 data_time: 0.0110 memory: 8510 grad_norm: 0.2011 loss: 0.0396 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6786 recall@top3: 0.8214 prec@top3: 0.5873 recall@top5: 0.9802 prec@top5: 0.4476 loss_action_cls: 0.0396 2022/12/03 22:20:07 - mmengine - INFO - Epoch(train) [10][2020/4451] lr: 1.1466e-03 eta: 0:12:59 time: 0.3195 data_time: 0.0108 memory: 8510 grad_norm: 0.1976 loss: 0.0392 recall@thr=0.5: 0.3730 prec@thr=0.5: 0.5238 recall@top3: 0.7183 prec@top3: 0.6508 recall@top5: 0.8651 prec@top5: 0.4476 loss_action_cls: 0.0392 2022/12/03 22:20:13 - mmengine - INFO - Epoch(train) [10][2040/4451] lr: 1.1279e-03 eta: 0:12:52 time: 0.3205 data_time: 0.0102 memory: 8510 grad_norm: 0.1957 loss: 0.0359 recall@thr=0.5: 0.8007 prec@thr=0.5: 0.9167 recall@top3: 0.8116 prec@top3: 0.7826 recall@top5: 0.9493 prec@top5: 0.5565 loss_action_cls: 0.0359 2022/12/03 22:20:20 - mmengine - INFO - Epoch(train) [10][2060/4451] lr: 1.1093e-03 eta: 0:12:46 time: 0.3227 data_time: 0.0104 memory: 8510 grad_norm: 0.2027 loss: 0.0365 recall@thr=0.5: 0.6955 prec@thr=0.5: 0.7197 recall@top3: 0.8818 prec@top3: 0.8030 recall@top5: 0.9614 prec@top5: 0.5455 loss_action_cls: 0.0365 2022/12/03 22:20:26 - mmengine - INFO - Epoch(train) [10][2080/4451] lr: 1.0909e-03 eta: 0:12:39 time: 0.3227 data_time: 0.0106 memory: 8510 grad_norm: 0.2034 loss: 0.0392 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7333 recall@top3: 0.7750 prec@top3: 0.6667 recall@top5: 0.8625 prec@top5: 0.4500 loss_action_cls: 0.0392 2022/12/03 22:20:33 - mmengine - INFO - Epoch(train) [10][2100/4451] lr: 1.0727e-03 eta: 0:12:33 time: 0.3216 data_time: 0.0099 memory: 8510 grad_norm: 0.2016 loss: 0.0373 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6786 recall@top3: 0.8095 prec@top3: 0.6825 recall@top5: 0.9127 prec@top5: 0.4857 loss_action_cls: 0.0373 2022/12/03 22:20:39 - mmengine - INFO - Epoch(train) [10][2120/4451] lr: 1.0546e-03 eta: 0:12:27 time: 0.3220 data_time: 0.0102 memory: 8510 grad_norm: 0.2017 loss: 0.0401 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7647 recall@top3: 0.7304 prec@top3: 0.5686 recall@top5: 0.9167 prec@top5: 0.4118 loss_action_cls: 0.0401 2022/12/03 22:20:46 - mmengine - INFO - Epoch(train) [10][2140/4451] lr: 1.0366e-03 eta: 0:12:20 time: 0.3206 data_time: 0.0106 memory: 8510 grad_norm: 0.2038 loss: 0.0349 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8889 recall@top3: 0.9167 prec@top3: 0.7222 recall@top5: 0.9630 prec@top5: 0.4556 loss_action_cls: 0.0349 2022/12/03 22:20:52 - mmengine - INFO - Epoch(train) [10][2160/4451] lr: 1.0188e-03 eta: 0:12:14 time: 0.3217 data_time: 0.0100 memory: 8510 grad_norm: 0.2128 loss: 0.0388 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5185 recall@top3: 0.6667 prec@top3: 0.4259 recall@top5: 0.8056 prec@top5: 0.3111 loss_action_cls: 0.0388 2022/12/03 22:20:59 - mmengine - INFO - Epoch(train) [10][2180/4451] lr: 1.0012e-03 eta: 0:12:07 time: 0.3195 data_time: 0.0098 memory: 8510 grad_norm: 0.2040 loss: 0.0355 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8111 recall@top3: 0.7778 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3867 loss_action_cls: 0.0355 2022/12/03 22:21:05 - mmengine - INFO - Epoch(train) [10][2200/4451] lr: 9.8368e-04 eta: 0:12:01 time: 0.3220 data_time: 0.0111 memory: 8510 grad_norm: 0.2016 loss: 0.0378 recall@thr=0.5: 0.5533 prec@thr=0.5: 0.6133 recall@top3: 0.7667 prec@top3: 0.5733 recall@top5: 0.9000 prec@top5: 0.4080 loss_action_cls: 0.0378 2022/12/03 22:21:11 - mmengine - INFO - Epoch(train) [10][2220/4451] lr: 9.6634e-04 eta: 0:11:55 time: 0.3215 data_time: 0.0101 memory: 8510 grad_norm: 0.2003 loss: 0.0387 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8333 recall@top3: 0.8407 prec@top3: 0.5926 recall@top5: 0.9259 prec@top5: 0.4333 loss_action_cls: 0.0387 2022/12/03 22:21:18 - mmengine - INFO - Epoch(train) [10][2240/4451] lr: 9.4915e-04 eta: 0:11:48 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.1963 loss: 0.0409 recall@thr=0.5: 0.9035 prec@thr=0.5: 0.9123 recall@top3: 0.9386 prec@top3: 0.6491 recall@top5: 0.9825 prec@top5: 0.4105 loss_action_cls: 0.0409 2022/12/03 22:21:24 - mmengine - INFO - Epoch(train) [10][2260/4451] lr: 9.3212e-04 eta: 0:11:42 time: 0.3219 data_time: 0.0108 memory: 8510 grad_norm: 0.2031 loss: 0.0376 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6316 recall@top3: 0.8158 prec@top3: 0.4912 recall@top5: 0.8860 prec@top5: 0.3368 loss_action_cls: 0.0376 2022/12/03 22:21:31 - mmengine - INFO - Epoch(train) [10][2280/4451] lr: 9.1524e-04 eta: 0:11:35 time: 0.3217 data_time: 0.0099 memory: 8510 grad_norm: 0.2021 loss: 0.0389 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.7132 recall@top3: 0.7696 prec@top3: 0.7059 recall@top5: 0.9412 prec@top5: 0.5118 loss_action_cls: 0.0389 2022/12/03 22:21:37 - mmengine - INFO - Epoch(train) [10][2300/4451] lr: 8.9851e-04 eta: 0:11:29 time: 0.3210 data_time: 0.0116 memory: 8510 grad_norm: 0.2082 loss: 0.0360 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7708 recall@top3: 0.8646 prec@top3: 0.6667 recall@top5: 0.9479 prec@top5: 0.4500 loss_action_cls: 0.0360 2022/12/03 22:21:44 - mmengine - INFO - Epoch(train) [10][2320/4451] lr: 8.8194e-04 eta: 0:11:23 time: 0.3212 data_time: 0.0106 memory: 8510 grad_norm: 0.2074 loss: 0.0363 recall@thr=0.5: 0.5235 prec@thr=0.5: 0.6275 recall@top3: 0.7461 prec@top3: 0.5686 recall@top5: 0.8510 prec@top5: 0.4235 loss_action_cls: 0.0363 2022/12/03 22:21:50 - mmengine - INFO - Epoch(train) [10][2340/4451] lr: 8.6552e-04 eta: 0:11:16 time: 0.3214 data_time: 0.0107 memory: 8510 grad_norm: 0.2028 loss: 0.0353 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5617 recall@top3: 0.8086 prec@top3: 0.6543 recall@top5: 0.9568 prec@top5: 0.4741 loss_action_cls: 0.0353 2022/12/03 22:21:56 - mmengine - INFO - Epoch(train) [10][2360/4451] lr: 8.4925e-04 eta: 0:11:10 time: 0.3214 data_time: 0.0105 memory: 8510 grad_norm: 0.2102 loss: 0.0377 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7667 recall@top3: 0.9222 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3867 loss_action_cls: 0.0377 2022/12/03 22:22:03 - mmengine - INFO - Epoch(train) [10][2380/4451] lr: 8.3313e-04 eta: 0:11:03 time: 0.3205 data_time: 0.0111 memory: 8510 grad_norm: 0.2069 loss: 0.0340 recall@thr=0.5: 0.8267 prec@thr=0.5: 0.7867 recall@top3: 0.8767 prec@top3: 0.5333 recall@top5: 0.9400 prec@top5: 0.3520 loss_action_cls: 0.0340 2022/12/03 22:22:09 - mmengine - INFO - Epoch(train) [10][2400/4451] lr: 8.1717e-04 eta: 0:10:57 time: 0.3203 data_time: 0.0105 memory: 8510 grad_norm: 0.2058 loss: 0.0352 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.6270 recall@top3: 0.8651 prec@top3: 0.5873 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0352 2022/12/03 22:22:16 - mmengine - INFO - Epoch(train) [10][2420/4451] lr: 8.0136e-04 eta: 0:10:51 time: 0.3214 data_time: 0.0106 memory: 8510 grad_norm: 0.1993 loss: 0.0357 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8826 recall@top3: 0.8523 prec@top3: 0.6515 recall@top5: 0.9470 prec@top5: 0.4545 loss_action_cls: 0.0357 2022/12/03 22:22:22 - mmengine - INFO - Epoch(train) [10][2440/4451] lr: 7.8571e-04 eta: 0:10:44 time: 0.3212 data_time: 0.0101 memory: 8510 grad_norm: 0.2049 loss: 0.0370 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.5370 recall@top3: 0.8148 prec@top3: 0.6111 recall@top5: 0.9213 prec@top5: 0.4111 loss_action_cls: 0.0370 2022/12/03 22:22:29 - mmengine - INFO - Epoch(train) [10][2460/4451] lr: 7.7020e-04 eta: 0:10:38 time: 0.3211 data_time: 0.0103 memory: 8510 grad_norm: 0.1980 loss: 0.0402 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.6389 recall@top3: 0.7963 prec@top3: 0.5370 recall@top5: 0.8519 prec@top5: 0.3444 loss_action_cls: 0.0402 2022/12/03 22:22:35 - mmengine - INFO - Epoch(train) [10][2480/4451] lr: 7.5485e-04 eta: 0:10:31 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.2046 loss: 0.0384 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.6232 recall@top3: 0.6920 prec@top3: 0.6957 recall@top5: 0.9022 prec@top5: 0.5478 loss_action_cls: 0.0384 2022/12/03 22:22:41 - mmengine - INFO - Epoch(train) [10][2500/4451] lr: 7.3966e-04 eta: 0:10:25 time: 0.3210 data_time: 0.0108 memory: 8510 grad_norm: 0.2045 loss: 0.0332 recall@thr=0.5: 0.5787 prec@thr=0.5: 0.7500 recall@top3: 0.7824 prec@top3: 0.6481 recall@top5: 0.9028 prec@top5: 0.4667 loss_action_cls: 0.0332 2022/12/03 22:22:48 - mmengine - INFO - Epoch(train) [10][2520/4451] lr: 7.2461e-04 eta: 0:10:18 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.1987 loss: 0.0336 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7549 recall@top3: 0.6667 prec@top3: 0.5490 recall@top5: 0.8431 prec@top5: 0.4353 loss_action_cls: 0.0336 2022/12/03 22:22:54 - mmengine - INFO - Epoch(train) [10][2540/4451] lr: 7.0973e-04 eta: 0:10:12 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.2022 loss: 0.0347 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7778 recall@top3: 0.9286 prec@top3: 0.6190 recall@top5: 0.9762 prec@top5: 0.3905 loss_action_cls: 0.0347 2022/12/03 22:23:01 - mmengine - INFO - Epoch(train) [10][2560/4451] lr: 6.9499e-04 eta: 0:10:06 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.2038 loss: 0.0414 recall@thr=0.5: 0.4855 prec@thr=0.5: 0.5109 recall@top3: 0.7391 prec@top3: 0.4928 recall@top5: 0.7826 prec@top5: 0.3130 loss_action_cls: 0.0414 2022/12/03 22:23:07 - mmengine - INFO - Epoch(train) [10][2580/4451] lr: 6.8041e-04 eta: 0:09:59 time: 0.3217 data_time: 0.0096 memory: 8510 grad_norm: 0.2042 loss: 0.0385 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6167 recall@top3: 0.9250 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4000 loss_action_cls: 0.0385 2022/12/03 22:23:13 - mmengine - INFO - Epoch(train) [10][2600/4451] lr: 6.6598e-04 eta: 0:09:53 time: 0.3204 data_time: 0.0104 memory: 8510 grad_norm: 0.2058 loss: 0.0335 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6778 recall@top3: 0.8389 prec@top3: 0.6444 recall@top5: 0.9556 prec@top5: 0.4533 loss_action_cls: 0.0335 2022/12/03 22:23:20 - mmengine - INFO - Epoch(train) [10][2620/4451] lr: 6.5170e-04 eta: 0:09:46 time: 0.3223 data_time: 0.0100 memory: 8510 grad_norm: 0.2033 loss: 0.0374 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7153 recall@top3: 0.8924 prec@top3: 0.6389 recall@top5: 0.9479 prec@top5: 0.4167 loss_action_cls: 0.0374 2022/12/03 22:23:26 - mmengine - INFO - Epoch(train) [10][2640/4451] lr: 6.3758e-04 eta: 0:09:40 time: 0.3217 data_time: 0.0112 memory: 8510 grad_norm: 0.1994 loss: 0.0365 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.7604 recall@top3: 0.7979 prec@top3: 0.5833 recall@top5: 0.9219 prec@top5: 0.4250 loss_action_cls: 0.0365 2022/12/03 22:23:33 - mmengine - INFO - Epoch(train) [10][2660/4451] lr: 6.2361e-04 eta: 0:09:34 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.2084 loss: 0.0367 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.7167 recall@top3: 0.8458 prec@top3: 0.6167 recall@top5: 0.9583 prec@top5: 0.4400 loss_action_cls: 0.0367 2022/12/03 22:23:39 - mmengine - INFO - Epoch(train) [10][2680/4451] lr: 6.0980e-04 eta: 0:09:27 time: 0.3211 data_time: 0.0096 memory: 8510 grad_norm: 0.2029 loss: 0.0373 recall@thr=0.5: 0.5689 prec@thr=0.5: 0.6364 recall@top3: 0.7780 prec@top3: 0.6212 recall@top5: 0.9091 prec@top5: 0.4545 loss_action_cls: 0.0373 2022/12/03 22:23:46 - mmengine - INFO - Epoch(train) [10][2700/4451] lr: 5.9614e-04 eta: 0:09:21 time: 0.3220 data_time: 0.0103 memory: 8510 grad_norm: 0.2050 loss: 0.0394 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.8561 recall@top3: 0.7121 prec@top3: 0.6818 recall@top5: 0.8636 prec@top5: 0.5091 loss_action_cls: 0.0394 2022/12/03 22:23:52 - mmengine - INFO - Epoch(train) [10][2720/4451] lr: 5.8263e-04 eta: 0:09:14 time: 0.3217 data_time: 0.0104 memory: 8510 grad_norm: 0.1946 loss: 0.0358 recall@thr=0.5: 0.7892 prec@thr=0.5: 0.8627 recall@top3: 0.9265 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0358 2022/12/03 22:23:59 - mmengine - INFO - Epoch(train) [10][2740/4451] lr: 5.6928e-04 eta: 0:09:08 time: 0.3225 data_time: 0.0100 memory: 8510 grad_norm: 0.1996 loss: 0.0387 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.7197 recall@top3: 0.8106 prec@top3: 0.6667 recall@top5: 0.8712 prec@top5: 0.4455 loss_action_cls: 0.0387 2022/12/03 22:24:05 - mmengine - INFO - Epoch(train) [10][2760/4451] lr: 5.5608e-04 eta: 0:09:02 time: 0.3213 data_time: 0.0097 memory: 8510 grad_norm: 0.2068 loss: 0.0379 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.6533 recall@top3: 0.8067 prec@top3: 0.6000 recall@top5: 0.8867 prec@top5: 0.4133 loss_action_cls: 0.0379 2022/12/03 22:24:11 - mmengine - INFO - Epoch(train) [10][2780/4451] lr: 5.4304e-04 eta: 0:08:55 time: 0.3209 data_time: 0.0102 memory: 8510 grad_norm: 0.2039 loss: 0.0378 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7500 recall@top3: 0.7560 prec@top3: 0.5833 recall@top5: 0.8720 prec@top5: 0.4071 loss_action_cls: 0.0378 2022/12/03 22:24:18 - mmengine - INFO - Epoch(train) [10][2800/4451] lr: 5.3015e-04 eta: 0:08:49 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.2062 loss: 0.0388 recall@thr=0.5: 0.8377 prec@thr=0.5: 0.8930 recall@top3: 0.8684 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0388 2022/12/03 22:24:24 - mmengine - INFO - Epoch(train) [10][2820/4451] lr: 5.1741e-04 eta: 0:08:42 time: 0.3196 data_time: 0.0109 memory: 8510 grad_norm: 0.1979 loss: 0.0365 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8519 recall@top3: 0.8056 prec@top3: 0.6481 recall@top5: 0.9861 prec@top5: 0.5000 loss_action_cls: 0.0365 2022/12/03 22:24:31 - mmengine - INFO - Epoch(train) [10][2840/4451] lr: 5.0483e-04 eta: 0:08:36 time: 0.3216 data_time: 0.0103 memory: 8510 grad_norm: 0.2003 loss: 0.0362 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.6439 recall@top3: 0.8371 prec@top3: 0.6818 recall@top5: 0.9697 prec@top5: 0.5091 loss_action_cls: 0.0362 2022/12/03 22:24:37 - mmengine - INFO - Epoch(train) [10][2860/4451] lr: 4.9240e-04 eta: 0:08:29 time: 0.3206 data_time: 0.0101 memory: 8510 grad_norm: 0.2047 loss: 0.0361 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.6508 recall@top3: 0.8095 prec@top3: 0.6190 recall@top5: 0.9405 prec@top5: 0.4667 loss_action_cls: 0.0361 2022/12/03 22:24:43 - mmengine - INFO - Epoch(train) [10][2880/4451] lr: 4.8012e-04 eta: 0:08:23 time: 0.3212 data_time: 0.0102 memory: 8510 grad_norm: 0.2046 loss: 0.0369 recall@thr=0.5: 0.3722 prec@thr=0.5: 0.4556 recall@top3: 0.8778 prec@top3: 0.6444 recall@top5: 0.9833 prec@top5: 0.4533 loss_action_cls: 0.0369 2022/12/03 22:24:50 - mmengine - INFO - Epoch(train) [10][2900/4451] lr: 4.6800e-04 eta: 0:08:17 time: 0.3221 data_time: 0.0118 memory: 8510 grad_norm: 0.2040 loss: 0.0334 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.7778 recall@top5: 0.9722 prec@top5: 0.4917 loss_action_cls: 0.0334 2022/12/03 22:24:56 - mmengine - INFO - Epoch(train) [10][2920/4451] lr: 4.5604e-04 eta: 0:08:10 time: 0.3215 data_time: 0.0100 memory: 8510 grad_norm: 0.2051 loss: 0.0360 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6667 recall@top3: 0.8519 prec@top3: 0.5741 recall@top5: 0.9167 prec@top5: 0.3889 loss_action_cls: 0.0360 2022/12/03 22:25:03 - mmengine - INFO - Epoch(train) [10][2940/4451] lr: 4.4423e-04 eta: 0:08:04 time: 0.3206 data_time: 0.0104 memory: 8510 grad_norm: 0.1999 loss: 0.0356 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7341 recall@top3: 0.7857 prec@top3: 0.7937 recall@top5: 0.9405 prec@top5: 0.5905 loss_action_cls: 0.0356 2022/12/03 22:25:03 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 22:25:09 - mmengine - INFO - Epoch(train) [10][2960/4451] lr: 4.3257e-04 eta: 0:07:57 time: 0.3227 data_time: 0.0102 memory: 8510 grad_norm: 0.2089 loss: 0.0315 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.8220 recall@top3: 0.9091 prec@top3: 0.6061 recall@top5: 0.9242 prec@top5: 0.3727 loss_action_cls: 0.0315 2022/12/03 22:25:16 - mmengine - INFO - Epoch(train) [10][2980/4451] lr: 4.2107e-04 eta: 0:07:51 time: 0.3209 data_time: 0.0110 memory: 8510 grad_norm: 0.1994 loss: 0.0353 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.7348 recall@top3: 0.8561 prec@top3: 0.6515 recall@top5: 0.9697 prec@top5: 0.4545 loss_action_cls: 0.0353 2022/12/03 22:25:22 - mmengine - INFO - Epoch(train) [10][3000/4451] lr: 4.0972e-04 eta: 0:07:45 time: 0.3219 data_time: 0.0111 memory: 8510 grad_norm: 0.2050 loss: 0.0351 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.7639 recall@top3: 0.8519 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4333 loss_action_cls: 0.0351 2022/12/03 22:25:29 - mmengine - INFO - Epoch(train) [10][3020/4451] lr: 3.9852e-04 eta: 0:07:38 time: 0.3208 data_time: 0.0100 memory: 8510 grad_norm: 0.2046 loss: 0.0345 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8158 recall@top3: 0.7544 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.5263 loss_action_cls: 0.0345 2022/12/03 22:25:35 - mmengine - INFO - Epoch(train) [10][3040/4451] lr: 3.8748e-04 eta: 0:07:32 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.2095 loss: 0.0398 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7451 recall@top3: 0.8333 prec@top3: 0.5686 recall@top5: 0.9559 prec@top5: 0.4118 loss_action_cls: 0.0398 2022/12/03 22:25:41 - mmengine - INFO - Epoch(train) [10][3060/4451] lr: 3.7660e-04 eta: 0:07:25 time: 0.3206 data_time: 0.0108 memory: 8510 grad_norm: 0.2078 loss: 0.0347 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.5952 recall@top3: 0.7738 prec@top3: 0.5000 recall@top5: 0.8214 prec@top5: 0.3286 loss_action_cls: 0.0347 2022/12/03 22:25:48 - mmengine - INFO - Epoch(train) [10][3080/4451] lr: 3.6587e-04 eta: 0:07:19 time: 0.3202 data_time: 0.0099 memory: 8510 grad_norm: 0.2075 loss: 0.0416 recall@thr=0.5: 0.8770 prec@thr=0.5: 0.8889 recall@top3: 0.8810 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0416 2022/12/03 22:25:54 - mmengine - INFO - Epoch(train) [10][3100/4451] lr: 3.5529e-04 eta: 0:07:13 time: 0.3210 data_time: 0.0099 memory: 8510 grad_norm: 0.1991 loss: 0.0404 recall@thr=0.5: 0.7075 prec@thr=0.5: 0.7960 recall@top3: 0.8517 prec@top3: 0.8046 recall@top5: 0.9517 prec@top5: 0.5517 loss_action_cls: 0.0404 2022/12/03 22:26:01 - mmengine - INFO - Epoch(train) [10][3120/4451] lr: 3.4487e-04 eta: 0:07:06 time: 0.3205 data_time: 0.0098 memory: 8510 grad_norm: 0.1941 loss: 0.0356 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.8500 recall@top3: 0.8958 prec@top3: 0.7167 recall@top5: 0.9292 prec@top5: 0.4500 loss_action_cls: 0.0356 2022/12/03 22:26:07 - mmengine - INFO - Epoch(train) [10][3140/4451] lr: 3.3460e-04 eta: 0:07:00 time: 0.3215 data_time: 0.0113 memory: 8510 grad_norm: 0.2002 loss: 0.0420 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8556 recall@top3: 0.9667 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.3467 loss_action_cls: 0.0420 2022/12/03 22:26:13 - mmengine - INFO - Epoch(train) [10][3160/4451] lr: 3.2449e-04 eta: 0:06:53 time: 0.3203 data_time: 0.0100 memory: 8510 grad_norm: 0.1968 loss: 0.0338 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7939 recall@top3: 0.8712 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.5182 loss_action_cls: 0.0338 2022/12/03 22:26:20 - mmengine - INFO - Epoch(train) [10][3180/4451] lr: 3.1453e-04 eta: 0:06:47 time: 0.3214 data_time: 0.0106 memory: 8510 grad_norm: 0.2111 loss: 0.0334 recall@thr=0.5: 0.8651 prec@thr=0.5: 0.8492 recall@top3: 0.9603 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4095 loss_action_cls: 0.0334 2022/12/03 22:26:26 - mmengine - INFO - Epoch(train) [10][3200/4451] lr: 3.0473e-04 eta: 0:06:41 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.2039 loss: 0.0370 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6930 recall@top3: 0.7807 prec@top3: 0.7018 recall@top5: 0.8246 prec@top5: 0.4526 loss_action_cls: 0.0370 2022/12/03 22:26:33 - mmengine - INFO - Epoch(train) [10][3220/4451] lr: 2.9508e-04 eta: 0:06:34 time: 0.3200 data_time: 0.0112 memory: 8510 grad_norm: 0.1982 loss: 0.0399 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.7121 recall@top3: 0.8258 prec@top3: 0.6364 recall@top5: 0.9545 prec@top5: 0.4364 loss_action_cls: 0.0399 2022/12/03 22:26:39 - mmengine - INFO - Epoch(train) [10][3240/4451] lr: 2.8559e-04 eta: 0:06:28 time: 0.3217 data_time: 0.0099 memory: 8510 grad_norm: 0.2005 loss: 0.0399 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.7000 recall@top3: 0.7389 prec@top3: 0.5889 recall@top5: 0.8444 prec@top5: 0.4133 loss_action_cls: 0.0399 2022/12/03 22:26:46 - mmengine - INFO - Epoch(train) [10][3260/4451] lr: 2.7625e-04 eta: 0:06:21 time: 0.3221 data_time: 0.0106 memory: 8510 grad_norm: 0.2023 loss: 0.0359 recall@thr=0.5: 0.6639 prec@thr=0.5: 0.6833 recall@top3: 0.8417 prec@top3: 0.6556 recall@top5: 0.9250 prec@top5: 0.4333 loss_action_cls: 0.0359 2022/12/03 22:26:52 - mmengine - INFO - Epoch(train) [10][3280/4451] lr: 2.6706e-04 eta: 0:06:15 time: 0.3201 data_time: 0.0105 memory: 8510 grad_norm: 0.1992 loss: 0.0330 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.8819 recall@top3: 0.8021 prec@top3: 0.6944 recall@top5: 0.9722 prec@top5: 0.5333 loss_action_cls: 0.0330 2022/12/03 22:26:58 - mmengine - INFO - Epoch(train) [10][3300/4451] lr: 2.5803e-04 eta: 0:06:08 time: 0.3209 data_time: 0.0098 memory: 8510 grad_norm: 0.2010 loss: 0.0347 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8646 recall@top3: 0.8646 prec@top3: 0.4792 recall@top5: 0.9688 prec@top5: 0.3375 loss_action_cls: 0.0347 2022/12/03 22:27:05 - mmengine - INFO - Epoch(train) [10][3320/4451] lr: 2.4916e-04 eta: 0:06:02 time: 0.3213 data_time: 0.0102 memory: 8510 grad_norm: 0.2075 loss: 0.0422 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.7675 recall@top3: 0.7763 prec@top3: 0.6316 recall@top5: 0.9211 prec@top5: 0.4632 loss_action_cls: 0.0422 2022/12/03 22:27:11 - mmengine - INFO - Epoch(train) [10][3340/4451] lr: 2.4044e-04 eta: 0:05:56 time: 0.3205 data_time: 0.0100 memory: 8510 grad_norm: 0.1963 loss: 0.0365 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8644 recall@top3: 0.9667 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0365 2022/12/03 22:27:18 - mmengine - INFO - Epoch(train) [10][3360/4451] lr: 2.3187e-04 eta: 0:05:49 time: 0.3201 data_time: 0.0109 memory: 8510 grad_norm: 0.2035 loss: 0.0379 recall@thr=0.5: 0.6014 prec@thr=0.5: 0.5725 recall@top3: 0.7826 prec@top3: 0.5217 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0379 2022/12/03 22:27:24 - mmengine - INFO - Epoch(train) [10][3380/4451] lr: 2.2347e-04 eta: 0:05:43 time: 0.3217 data_time: 0.0120 memory: 8510 grad_norm: 0.2063 loss: 0.0374 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8333 recall@top3: 0.8684 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.3895 loss_action_cls: 0.0374 2022/12/03 22:27:31 - mmengine - INFO - Epoch(train) [10][3400/4451] lr: 2.1521e-04 eta: 0:05:36 time: 0.3209 data_time: 0.0104 memory: 8510 grad_norm: 0.2111 loss: 0.0417 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.5490 recall@top3: 0.7941 prec@top3: 0.4118 recall@top5: 0.8529 prec@top5: 0.2706 loss_action_cls: 0.0417 2022/12/03 22:27:37 - mmengine - INFO - Epoch(train) [10][3420/4451] lr: 2.0711e-04 eta: 0:05:30 time: 0.3220 data_time: 0.0121 memory: 8510 grad_norm: 0.1993 loss: 0.0359 recall@thr=0.5: 0.7817 prec@thr=0.5: 0.8016 recall@top3: 0.8095 prec@top3: 0.6825 recall@top5: 0.9603 prec@top5: 0.4952 loss_action_cls: 0.0359 2022/12/03 22:27:43 - mmengine - INFO - Epoch(train) [10][3440/4451] lr: 1.9917e-04 eta: 0:05:24 time: 0.3209 data_time: 0.0105 memory: 8510 grad_norm: 0.1993 loss: 0.0397 recall@thr=0.5: 0.6183 prec@thr=0.5: 0.6075 recall@top3: 0.6823 prec@top3: 0.5376 recall@top5: 0.8581 prec@top5: 0.4129 loss_action_cls: 0.0397 2022/12/03 22:27:50 - mmengine - INFO - Epoch(train) [10][3460/4451] lr: 1.9138e-04 eta: 0:05:17 time: 0.3214 data_time: 0.0099 memory: 8510 grad_norm: 0.2064 loss: 0.0349 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.7949 recall@top3: 0.8205 prec@top3: 0.4872 recall@top5: 0.9231 prec@top5: 0.3538 loss_action_cls: 0.0349 2022/12/03 22:27:56 - mmengine - INFO - Epoch(train) [10][3480/4451] lr: 1.8374e-04 eta: 0:05:11 time: 0.3217 data_time: 0.0099 memory: 8510 grad_norm: 0.2035 loss: 0.0390 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.7143 recall@top3: 0.7381 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.3571 loss_action_cls: 0.0390 2022/12/03 22:28:03 - mmengine - INFO - Epoch(train) [10][3500/4451] lr: 1.7626e-04 eta: 0:05:04 time: 0.3218 data_time: 0.0105 memory: 8510 grad_norm: 0.2063 loss: 0.0354 recall@thr=0.5: 0.8678 prec@thr=0.5: 0.9611 recall@top3: 0.8956 prec@top3: 0.7778 recall@top5: 0.9778 prec@top5: 0.5333 loss_action_cls: 0.0354 2022/12/03 22:28:09 - mmengine - INFO - Epoch(train) [10][3520/4451] lr: 1.6894e-04 eta: 0:04:58 time: 0.3214 data_time: 0.0102 memory: 8510 grad_norm: 0.2016 loss: 0.0360 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7222 recall@top3: 0.9365 prec@top3: 0.6032 recall@top5: 1.0000 prec@top5: 0.3905 loss_action_cls: 0.0360 2022/12/03 22:28:16 - mmengine - INFO - Epoch(train) [10][3540/4451] lr: 1.6177e-04 eta: 0:04:52 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.1957 loss: 0.0352 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.6786 recall@top3: 0.8810 prec@top3: 0.4524 recall@top5: 0.9524 prec@top5: 0.3000 loss_action_cls: 0.0352 2022/12/03 22:28:22 - mmengine - INFO - Epoch(train) [10][3560/4451] lr: 1.5476e-04 eta: 0:04:45 time: 0.3230 data_time: 0.0102 memory: 8510 grad_norm: 0.2088 loss: 0.0348 recall@thr=0.5: 0.6437 prec@thr=0.5: 0.6552 recall@top3: 0.7644 prec@top3: 0.6092 recall@top5: 0.9425 prec@top5: 0.4276 loss_action_cls: 0.0348 2022/12/03 22:28:28 - mmengine - INFO - Epoch(train) [10][3580/4451] lr: 1.4790e-04 eta: 0:04:39 time: 0.3222 data_time: 0.0113 memory: 8510 grad_norm: 0.1985 loss: 0.0412 recall@thr=0.5: 0.3869 prec@thr=0.5: 0.5060 recall@top3: 0.7619 prec@top3: 0.5000 recall@top5: 0.9583 prec@top5: 0.3714 loss_action_cls: 0.0412 2022/12/03 22:28:35 - mmengine - INFO - Epoch(train) [10][3600/4451] lr: 1.4119e-04 eta: 0:04:32 time: 0.3217 data_time: 0.0104 memory: 8510 grad_norm: 0.2022 loss: 0.0405 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.7096 recall@top3: 0.8434 prec@top3: 0.7071 recall@top5: 0.8939 prec@top5: 0.4485 loss_action_cls: 0.0405 2022/12/03 22:28:41 - mmengine - INFO - Epoch(train) [10][3620/4451] lr: 1.3465e-04 eta: 0:04:26 time: 0.3297 data_time: 0.0128 memory: 8510 grad_norm: 0.2042 loss: 0.0358 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7647 recall@top3: 0.8039 prec@top3: 0.5294 recall@top5: 0.9608 prec@top5: 0.4118 loss_action_cls: 0.0358 2022/12/03 22:28:48 - mmengine - INFO - Epoch(train) [10][3640/4451] lr: 1.2825e-04 eta: 0:04:19 time: 0.3218 data_time: 0.0099 memory: 8510 grad_norm: 0.2017 loss: 0.0368 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8889 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0368 2022/12/03 22:28:54 - mmengine - INFO - Epoch(train) [10][3660/4451] lr: 1.2202e-04 eta: 0:04:13 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.2032 loss: 0.0340 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8583 recall@top3: 0.9208 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0340 2022/12/03 22:29:01 - mmengine - INFO - Epoch(train) [10][3680/4451] lr: 1.1593e-04 eta: 0:04:07 time: 0.3209 data_time: 0.0103 memory: 8510 grad_norm: 0.1977 loss: 0.0401 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8611 recall@top3: 0.9074 prec@top3: 0.7407 recall@top5: 0.9630 prec@top5: 0.4778 loss_action_cls: 0.0401 2022/12/03 22:29:07 - mmengine - INFO - Epoch(train) [10][3700/4451] lr: 1.1001e-04 eta: 0:04:00 time: 0.3205 data_time: 0.0134 memory: 8510 grad_norm: 0.2034 loss: 0.0330 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7292 recall@top3: 0.8385 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0330 2022/12/03 22:29:14 - mmengine - INFO - Epoch(train) [10][3720/4451] lr: 1.0424e-04 eta: 0:03:54 time: 0.3219 data_time: 0.0100 memory: 8510 grad_norm: 0.1929 loss: 0.0340 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.6944 recall@top3: 0.8843 prec@top3: 0.6481 recall@top5: 0.9167 prec@top5: 0.4111 loss_action_cls: 0.0340 2022/12/03 22:29:20 - mmengine - INFO - Epoch(train) [10][3740/4451] lr: 9.8619e-05 eta: 0:03:47 time: 0.3212 data_time: 0.0104 memory: 8510 grad_norm: 0.2013 loss: 0.0357 recall@thr=0.5: 0.5593 prec@thr=0.5: 0.6481 recall@top3: 0.7472 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0357 2022/12/03 22:29:26 - mmengine - INFO - Epoch(train) [10][3760/4451] lr: 9.3158e-05 eta: 0:03:41 time: 0.3219 data_time: 0.0111 memory: 8510 grad_norm: 0.1993 loss: 0.0391 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6958 recall@top3: 0.7500 prec@top3: 0.5667 recall@top5: 0.8625 prec@top5: 0.4200 loss_action_cls: 0.0391 2022/12/03 22:29:33 - mmengine - INFO - Epoch(train) [10][3780/4451] lr: 8.7853e-05 eta: 0:03:35 time: 0.3220 data_time: 0.0111 memory: 8510 grad_norm: 0.1994 loss: 0.0384 recall@thr=0.5: 0.5956 prec@thr=0.5: 0.6278 recall@top3: 0.6578 prec@top3: 0.5778 recall@top5: 0.8722 prec@top5: 0.4800 loss_action_cls: 0.0384 2022/12/03 22:29:39 - mmengine - INFO - Epoch(train) [10][3800/4451] lr: 8.2703e-05 eta: 0:03:28 time: 0.3213 data_time: 0.0101 memory: 8510 grad_norm: 0.2078 loss: 0.0408 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8125 recall@top3: 0.8542 prec@top3: 0.6250 recall@top5: 0.9531 prec@top5: 0.4250 loss_action_cls: 0.0408 2022/12/03 22:29:46 - mmengine - INFO - Epoch(train) [10][3820/4451] lr: 7.7708e-05 eta: 0:03:22 time: 0.3206 data_time: 0.0110 memory: 8510 grad_norm: 0.2042 loss: 0.0408 recall@thr=0.5: 0.6058 prec@thr=0.5: 0.7391 recall@top3: 0.7870 prec@top3: 0.6087 recall@top5: 0.9043 prec@top5: 0.4261 loss_action_cls: 0.0408 2022/12/03 22:29:52 - mmengine - INFO - Epoch(train) [10][3840/4451] lr: 7.2869e-05 eta: 0:03:15 time: 0.3204 data_time: 0.0101 memory: 8510 grad_norm: 0.2055 loss: 0.0379 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.7949 recall@top3: 0.8173 prec@top3: 0.6410 recall@top5: 0.9391 prec@top5: 0.4538 loss_action_cls: 0.0379 2022/12/03 22:29:59 - mmengine - INFO - Epoch(train) [10][3860/4451] lr: 6.8185e-05 eta: 0:03:09 time: 0.3200 data_time: 0.0116 memory: 8510 grad_norm: 0.2019 loss: 0.0315 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.8304 recall@top3: 0.8095 prec@top3: 0.7262 recall@top5: 0.9196 prec@top5: 0.5000 loss_action_cls: 0.0315 2022/12/03 22:30:05 - mmengine - INFO - Epoch(train) [10][3880/4451] lr: 6.3657e-05 eta: 0:03:03 time: 0.3201 data_time: 0.0100 memory: 8510 grad_norm: 0.2022 loss: 0.0332 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7731 recall@top3: 0.8704 prec@top3: 0.6852 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0332 2022/12/03 22:30:11 - mmengine - INFO - Epoch(train) [10][3900/4451] lr: 5.9284e-05 eta: 0:02:56 time: 0.3204 data_time: 0.0123 memory: 8510 grad_norm: 0.2095 loss: 0.0350 recall@thr=0.5: 0.6123 prec@thr=0.5: 0.6993 recall@top3: 0.7428 prec@top3: 0.6232 recall@top5: 0.9529 prec@top5: 0.4696 loss_action_cls: 0.0350 2022/12/03 22:30:18 - mmengine - INFO - Epoch(train) [10][3920/4451] lr: 5.5067e-05 eta: 0:02:50 time: 0.3211 data_time: 0.0107 memory: 8510 grad_norm: 0.2044 loss: 0.0361 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7121 recall@top3: 0.8371 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4364 loss_action_cls: 0.0361 2022/12/03 22:30:24 - mmengine - INFO - Epoch(train) [10][3940/4451] lr: 5.1005e-05 eta: 0:02:43 time: 0.3224 data_time: 0.0108 memory: 8510 grad_norm: 0.2111 loss: 0.0337 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8485 recall@top3: 0.8409 prec@top3: 0.6364 recall@top5: 0.9470 prec@top5: 0.4545 loss_action_cls: 0.0337 2022/12/03 22:30:25 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 22:30:31 - mmengine - INFO - Epoch(train) [10][3960/4451] lr: 4.7098e-05 eta: 0:02:37 time: 0.3227 data_time: 0.0104 memory: 8510 grad_norm: 0.2021 loss: 0.0357 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.6515 recall@top3: 0.9091 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4091 loss_action_cls: 0.0357 2022/12/03 22:30:37 - mmengine - INFO - Epoch(train) [10][3980/4451] lr: 4.3348e-05 eta: 0:02:30 time: 0.3215 data_time: 0.0102 memory: 8510 grad_norm: 0.1968 loss: 0.0354 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8519 recall@top3: 1.0000 prec@top3: 0.7963 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0354 2022/12/03 22:30:44 - mmengine - INFO - Epoch(train) [10][4000/4451] lr: 3.9752e-05 eta: 0:02:24 time: 0.3209 data_time: 0.0110 memory: 8510 grad_norm: 0.2036 loss: 0.0363 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6667 recall@top3: 0.7619 prec@top3: 0.4762 recall@top5: 0.8095 prec@top5: 0.3143 loss_action_cls: 0.0363 2022/12/03 22:30:50 - mmengine - INFO - Epoch(train) [10][4020/4451] lr: 3.6313e-05 eta: 0:02:18 time: 0.3215 data_time: 0.0098 memory: 8510 grad_norm: 0.2063 loss: 0.0370 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8704 recall@top3: 0.8657 prec@top3: 0.7593 recall@top5: 0.9815 prec@top5: 0.5333 loss_action_cls: 0.0370 2022/12/03 22:30:56 - mmengine - INFO - Epoch(train) [10][4040/4451] lr: 3.3029e-05 eta: 0:02:11 time: 0.3207 data_time: 0.0098 memory: 8510 grad_norm: 0.2039 loss: 0.0340 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8000 recall@top3: 0.8333 prec@top3: 0.5778 recall@top5: 0.9083 prec@top5: 0.3933 loss_action_cls: 0.0340 2022/12/03 22:31:03 - mmengine - INFO - Epoch(train) [10][4060/4451] lr: 2.9900e-05 eta: 0:02:05 time: 0.3213 data_time: 0.0100 memory: 8510 grad_norm: 0.1995 loss: 0.0360 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.6190 recall@top3: 0.8413 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.4190 loss_action_cls: 0.0360 2022/12/03 22:31:09 - mmengine - INFO - Epoch(train) [10][4080/4451] lr: 2.6927e-05 eta: 0:01:58 time: 0.3212 data_time: 0.0098 memory: 8510 grad_norm: 0.1970 loss: 0.0373 recall@thr=0.5: 0.7527 prec@thr=0.5: 0.7903 recall@top3: 0.9059 prec@top3: 0.6774 recall@top5: 0.9140 prec@top5: 0.4129 loss_action_cls: 0.0373 2022/12/03 22:31:16 - mmengine - INFO - Epoch(train) [10][4100/4451] lr: 2.4110e-05 eta: 0:01:52 time: 0.3207 data_time: 0.0100 memory: 8510 grad_norm: 0.2082 loss: 0.0373 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8333 recall@top3: 0.8981 prec@top3: 0.6852 recall@top5: 0.9537 prec@top5: 0.4556 loss_action_cls: 0.0373 2022/12/03 22:31:22 - mmengine - INFO - Epoch(train) [10][4120/4451] lr: 2.1448e-05 eta: 0:01:46 time: 0.3222 data_time: 0.0098 memory: 8510 grad_norm: 0.2015 loss: 0.0380 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7460 recall@top3: 0.9167 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0380 2022/12/03 22:31:29 - mmengine - INFO - Epoch(train) [10][4140/4451] lr: 1.8942e-05 eta: 0:01:39 time: 0.3215 data_time: 0.0102 memory: 8510 grad_norm: 0.2043 loss: 0.0347 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7451 recall@top3: 0.7647 prec@top3: 0.7059 recall@top5: 0.9069 prec@top5: 0.4941 loss_action_cls: 0.0347 2022/12/03 22:31:35 - mmengine - INFO - Epoch(train) [10][4160/4451] lr: 1.6592e-05 eta: 0:01:33 time: 0.3220 data_time: 0.0100 memory: 8510 grad_norm: 0.1958 loss: 0.0323 recall@thr=0.5: 0.8587 prec@thr=0.5: 0.9891 recall@top3: 0.8986 prec@top3: 0.7971 recall@top5: 1.0000 prec@top5: 0.5478 loss_action_cls: 0.0323 2022/12/03 22:31:41 - mmengine - INFO - Epoch(train) [10][4180/4451] lr: 1.4397e-05 eta: 0:01:26 time: 0.3206 data_time: 0.0100 memory: 8510 grad_norm: 0.1988 loss: 0.0368 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.6953 recall@top3: 0.8698 prec@top3: 0.6979 recall@top5: 0.9375 prec@top5: 0.4562 loss_action_cls: 0.0368 2022/12/03 22:31:48 - mmengine - INFO - Epoch(train) [10][4200/4451] lr: 1.2357e-05 eta: 0:01:20 time: 0.3214 data_time: 0.0100 memory: 8510 grad_norm: 0.1992 loss: 0.0381 recall@thr=0.5: 0.8122 prec@thr=0.5: 0.8889 recall@top3: 0.8139 prec@top3: 0.7444 recall@top5: 0.9300 prec@top5: 0.5467 loss_action_cls: 0.0381 2022/12/03 22:31:54 - mmengine - INFO - Epoch(train) [10][4220/4451] lr: 1.0474e-05 eta: 0:01:14 time: 0.3221 data_time: 0.0109 memory: 8510 grad_norm: 0.2028 loss: 0.0328 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.8235 recall@top3: 0.9069 prec@top3: 0.6275 recall@top5: 0.9363 prec@top5: 0.3882 loss_action_cls: 0.0328 2022/12/03 22:32:01 - mmengine - INFO - Epoch(train) [10][4240/4451] lr: 8.7459e-06 eta: 0:01:07 time: 0.3203 data_time: 0.0114 memory: 8510 grad_norm: 0.2046 loss: 0.0380 recall@thr=0.5: 0.6224 prec@thr=0.5: 0.8397 recall@top3: 0.7769 prec@top3: 0.7179 recall@top5: 0.8910 prec@top5: 0.5154 loss_action_cls: 0.0380 2022/12/03 22:32:07 - mmengine - INFO - Epoch(train) [10][4260/4451] lr: 7.1736e-06 eta: 0:01:01 time: 0.3201 data_time: 0.0104 memory: 8510 grad_norm: 0.2018 loss: 0.0394 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8417 recall@top3: 0.9083 prec@top3: 0.6333 recall@top5: 0.9417 prec@top5: 0.4000 loss_action_cls: 0.0394 2022/12/03 22:32:14 - mmengine - INFO - Epoch(train) [10][4280/4451] lr: 5.7570e-06 eta: 0:00:54 time: 0.3212 data_time: 0.0103 memory: 8510 grad_norm: 0.2070 loss: 0.0366 recall@thr=0.5: 0.4259 prec@thr=0.5: 0.5833 recall@top3: 0.6944 prec@top3: 0.5556 recall@top5: 0.8102 prec@top5: 0.4000 loss_action_cls: 0.0366 2022/12/03 22:32:20 - mmengine - INFO - Epoch(train) [10][4300/4451] lr: 4.4960e-06 eta: 0:00:48 time: 0.3220 data_time: 0.0104 memory: 8510 grad_norm: 0.2026 loss: 0.0347 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.5952 recall@top3: 0.8452 prec@top3: 0.4762 recall@top5: 0.8690 prec@top5: 0.3000 loss_action_cls: 0.0347 2022/12/03 22:32:26 - mmengine - INFO - Epoch(train) [10][4320/4451] lr: 3.3907e-06 eta: 0:00:41 time: 0.3219 data_time: 0.0102 memory: 8510 grad_norm: 0.1947 loss: 0.0377 recall@thr=0.5: 0.6790 prec@thr=0.5: 0.9012 recall@top3: 0.8704 prec@top3: 0.7531 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0377 2022/12/03 22:32:33 - mmengine - INFO - Epoch(train) [10][4340/4451] lr: 2.4411e-06 eta: 0:00:35 time: 0.3211 data_time: 0.0101 memory: 8510 grad_norm: 0.2064 loss: 0.0403 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7833 recall@top3: 0.8083 prec@top3: 0.6917 recall@top5: 0.9500 prec@top5: 0.4950 loss_action_cls: 0.0403 2022/12/03 22:32:39 - mmengine - INFO - Epoch(train) [10][4360/4451] lr: 1.6471e-06 eta: 0:00:29 time: 0.3219 data_time: 0.0100 memory: 8510 grad_norm: 0.2053 loss: 0.0377 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.5490 recall@top3: 0.7059 prec@top3: 0.6078 recall@top5: 0.7451 prec@top5: 0.3882 loss_action_cls: 0.0377 2022/12/03 22:32:46 - mmengine - INFO - Epoch(train) [10][4380/4451] lr: 1.0088e-06 eta: 0:00:22 time: 0.3213 data_time: 0.0112 memory: 8510 grad_norm: 0.2042 loss: 0.0414 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6275 recall@top3: 0.6863 prec@top3: 0.4510 recall@top5: 0.7647 prec@top5: 0.3059 loss_action_cls: 0.0414 2022/12/03 22:32:52 - mmengine - INFO - Epoch(train) [10][4400/4451] lr: 5.2620e-07 eta: 0:00:16 time: 0.3213 data_time: 0.0103 memory: 8510 grad_norm: 0.2085 loss: 0.0394 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.8133 recall@top3: 0.8633 prec@top3: 0.7200 recall@top5: 0.9533 prec@top5: 0.4960 loss_action_cls: 0.0394 2022/12/03 22:32:59 - mmengine - INFO - Epoch(train) [10][4420/4451] lr: 1.9927e-07 eta: 0:00:09 time: 0.3215 data_time: 0.0104 memory: 8510 grad_norm: 0.2049 loss: 0.0357 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6840 recall@top3: 0.8194 prec@top3: 0.6944 recall@top5: 0.8646 prec@top5: 0.4500 loss_action_cls: 0.0357 2022/12/03 22:33:05 - mmengine - INFO - Epoch(train) [10][4440/4451] lr: 2.8023e-08 eta: 0:00:03 time: 0.3199 data_time: 0.0114 memory: 8510 grad_norm: 0.2114 loss: 0.0351 recall@thr=0.5: 0.7040 prec@thr=0.5: 0.8000 recall@top3: 0.7647 prec@top3: 0.7600 recall@top5: 0.9667 prec@top5: 0.5600 loss_action_cls: 0.0351 2022/12/03 22:33:08 - mmengine - INFO - Exp name: slowonly_kinetics700-pretrained-r50_8xb16-8x8x1-10e_ava-kinetics-rgb_20221203_171402 2022/12/03 22:33:08 - mmengine - INFO - Epoch(train) [10][4451/4451] lr: 1.9460e-10 eta: 0:00:00 time: 0.3143 data_time: 0.0099 memory: 8510 grad_norm: 0.2070 loss: 0.0354 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0354 2022/12/03 22:33:08 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/12/03 22:33:13 - mmengine - INFO - Epoch(val) [10][ 20/6282] eta: 0:04:29 time: 0.0431 data_time: 0.0082 memory: 661 2022/12/03 22:33:14 - mmengine - INFO - Epoch(val) [10][ 40/6282] eta: 0:04:12 time: 0.0377 data_time: 0.0040 memory: 661 2022/12/03 22:33:15 - mmengine - INFO - Epoch(val) [10][ 60/6282] eta: 0:04:10 time: 0.0402 data_time: 0.0054 memory: 661 2022/12/03 22:33:15 - mmengine - INFO - Epoch(val) [10][ 80/6282] eta: 0:04:06 time: 0.0382 data_time: 0.0043 memory: 661 2022/12/03 22:33:16 - mmengine - INFO - Epoch(val) [10][ 100/6282] eta: 0:04:02 time: 0.0370 data_time: 0.0041 memory: 661 2022/12/03 22:33:17 - mmengine - INFO - Epoch(val) [10][ 120/6282] eta: 0:04:06 time: 0.0436 data_time: 0.0053 memory: 732 2022/12/03 22:33:18 - mmengine - INFO - Epoch(val) [10][ 140/6282] eta: 0:04:16 time: 0.0532 data_time: 0.0065 memory: 732 2022/12/03 22:33:19 - mmengine - INFO - Epoch(val) [10][ 160/6282] eta: 0:04:20 time: 0.0473 data_time: 0.0061 memory: 732 2022/12/03 22:33:20 - mmengine - INFO - Epoch(val) [10][ 180/6282] eta: 0:04:23 time: 0.0491 data_time: 0.0059 memory: 732 2022/12/03 22:33:21 - mmengine - INFO - Epoch(val) [10][ 200/6282] eta: 0:04:27 time: 0.0506 data_time: 0.0071 memory: 732 2022/12/03 22:33:22 - mmengine - INFO - Epoch(val) [10][ 220/6282] eta: 0:04:27 time: 0.0459 data_time: 0.0062 memory: 674 2022/12/03 22:33:23 - mmengine - INFO - Epoch(val) [10][ 240/6282] eta: 0:04:28 time: 0.0480 data_time: 0.0060 memory: 674 2022/12/03 22:33:24 - mmengine - INFO - Epoch(val) [10][ 260/6282] eta: 0:04:27 time: 0.0429 data_time: 0.0046 memory: 674 2022/12/03 22:33:25 - mmengine - INFO - Epoch(val) [10][ 280/6282] eta: 0:04:26 time: 0.0451 data_time: 0.0070 memory: 674 2022/12/03 22:33:26 - mmengine - INFO - Epoch(val) [10][ 300/6282] eta: 0:04:26 time: 0.0452 data_time: 0.0051 memory: 732 2022/12/03 22:33:27 - mmengine - INFO - Epoch(val) [10][ 320/6282] eta: 0:04:27 time: 0.0499 data_time: 0.0054 memory: 732 2022/12/03 22:33:28 - mmengine - INFO - Epoch(val) [10][ 340/6282] eta: 0:04:27 time: 0.0478 data_time: 0.0036 memory: 732 2022/12/03 22:33:29 - mmengine - INFO - Epoch(val) [10][ 360/6282] eta: 0:04:30 time: 0.0580 data_time: 0.0119 memory: 732 2022/12/03 22:33:30 - mmengine - INFO - Epoch(val) [10][ 380/6282] eta: 0:04:30 time: 0.0487 data_time: 0.0039 memory: 732 2022/12/03 22:33:31 - mmengine - INFO - Epoch(val) [10][ 400/6282] eta: 0:04:30 time: 0.0478 data_time: 0.0059 memory: 732 2022/12/03 22:33:32 - mmengine - INFO - Epoch(val) [10][ 420/6282] eta: 0:04:28 time: 0.0442 data_time: 0.0046 memory: 678 2022/12/03 22:33:33 - mmengine - INFO - Epoch(val) [10][ 440/6282] eta: 0:04:27 time: 0.0429 data_time: 0.0052 memory: 678 2022/12/03 22:33:33 - mmengine - INFO - Epoch(val) [10][ 460/6282] eta: 0:04:25 time: 0.0421 data_time: 0.0039 memory: 678 2022/12/03 22:33:34 - mmengine - INFO - Epoch(val) [10][ 480/6282] eta: 0:04:23 time: 0.0414 data_time: 0.0071 memory: 678 2022/12/03 22:33:35 - mmengine - INFO - Epoch(val) [10][ 500/6282] eta: 0:04:21 time: 0.0418 data_time: 0.0050 memory: 678 2022/12/03 22:33:36 - mmengine - INFO - Epoch(val) [10][ 520/6282] eta: 0:04:20 time: 0.0450 data_time: 0.0054 memory: 674 2022/12/03 22:33:37 - mmengine - INFO - Epoch(val) [10][ 540/6282] eta: 0:04:19 time: 0.0413 data_time: 0.0039 memory: 674 2022/12/03 22:33:38 - mmengine - INFO - Epoch(val) [10][ 560/6282] eta: 0:04:17 time: 0.0417 data_time: 0.0053 memory: 674 2022/12/03 22:33:39 - mmengine - INFO - Epoch(val) [10][ 580/6282] eta: 0:04:17 time: 0.0483 data_time: 0.0047 memory: 674 2022/12/03 22:33:40 - mmengine - INFO - Epoch(val) [10][ 600/6282] eta: 0:04:18 time: 0.0558 data_time: 0.0081 memory: 674 2022/12/03 22:33:41 - mmengine - INFO - Epoch(val) [10][ 620/6282] eta: 0:04:18 time: 0.0532 data_time: 0.0072 memory: 674 2022/12/03 22:33:42 - mmengine - INFO - Epoch(val) [10][ 640/6282] eta: 0:04:19 time: 0.0546 data_time: 0.0095 memory: 670 2022/12/03 22:33:43 - mmengine - INFO - Epoch(val) [10][ 660/6282] eta: 0:04:19 time: 0.0507 data_time: 0.0072 memory: 670 2022/12/03 22:33:44 - mmengine - INFO - Epoch(val) [10][ 680/6282] eta: 0:04:18 time: 0.0486 data_time: 0.0065 memory: 670 2022/12/03 22:33:45 - mmengine - INFO - Epoch(val) [10][ 700/6282] eta: 0:04:18 time: 0.0476 data_time: 0.0084 memory: 670 2022/12/03 22:33:46 - mmengine - INFO - Epoch(val) [10][ 720/6282] eta: 0:04:17 time: 0.0508 data_time: 0.0069 memory: 732 2022/12/03 22:33:47 - mmengine - INFO - Epoch(val) [10][ 740/6282] eta: 0:04:17 time: 0.0532 data_time: 0.0079 memory: 732 2022/12/03 22:33:48 - mmengine - INFO - Epoch(val) [10][ 760/6282] eta: 0:04:17 time: 0.0494 data_time: 0.0045 memory: 732 2022/12/03 22:33:49 - mmengine - INFO - Epoch(val) [10][ 780/6282] eta: 0:04:17 time: 0.0518 data_time: 0.0060 memory: 732 2022/12/03 22:33:50 - mmengine - INFO - Epoch(val) [10][ 800/6282] eta: 0:04:17 time: 0.0518 data_time: 0.0062 memory: 732 2022/12/03 22:33:51 - mmengine - INFO - Epoch(val) [10][ 820/6282] eta: 0:04:15 time: 0.0459 data_time: 0.0051 memory: 732 2022/12/03 22:33:52 - mmengine - INFO - Epoch(val) [10][ 840/6282] eta: 0:04:14 time: 0.0415 data_time: 0.0047 memory: 674 2022/12/03 22:33:53 - mmengine - INFO - Epoch(val) [10][ 860/6282] eta: 0:04:12 time: 0.0419 data_time: 0.0054 memory: 674 2022/12/03 22:33:54 - mmengine - INFO - Epoch(val) [10][ 880/6282] eta: 0:04:11 time: 0.0417 data_time: 0.0054 memory: 674 2022/12/03 22:33:54 - mmengine - INFO - Epoch(val) [10][ 900/6282] eta: 0:04:09 time: 0.0405 data_time: 0.0040 memory: 674 2022/12/03 22:33:55 - mmengine - INFO - Epoch(val) [10][ 920/6282] eta: 0:04:08 time: 0.0427 data_time: 0.0061 memory: 674 2022/12/03 22:33:56 - mmengine - INFO - Epoch(val) [10][ 940/6282] eta: 0:04:06 time: 0.0397 data_time: 0.0053 memory: 661 2022/12/03 22:33:57 - mmengine - INFO - Epoch(val) [10][ 960/6282] eta: 0:04:04 time: 0.0396 data_time: 0.0061 memory: 661 2022/12/03 22:33:58 - mmengine - INFO - Epoch(val) [10][ 980/6282] eta: 0:04:03 time: 0.0397 data_time: 0.0051 memory: 661 2022/12/03 22:33:59 - mmengine - INFO - Epoch(val) [10][1000/6282] eta: 0:04:01 time: 0.0413 data_time: 0.0070 memory: 661 2022/12/03 22:33:59 - mmengine - INFO - Epoch(val) [10][1020/6282] eta: 0:04:00 time: 0.0414 data_time: 0.0058 memory: 674 2022/12/03 22:34:00 - mmengine - INFO - Epoch(val) [10][1040/6282] eta: 0:03:59 time: 0.0426 data_time: 0.0060 memory: 674 2022/12/03 22:34:01 - mmengine - INFO - Epoch(val) [10][1060/6282] eta: 0:03:58 time: 0.0473 data_time: 0.0084 memory: 674 2022/12/03 22:34:02 - mmengine - INFO - Epoch(val) [10][1080/6282] eta: 0:03:57 time: 0.0490 data_time: 0.0057 memory: 674 2022/12/03 22:34:03 - mmengine - INFO - Epoch(val) [10][1100/6282] eta: 0:03:57 time: 0.0485 data_time: 0.0070 memory: 674 2022/12/03 22:34:04 - mmengine - INFO - Epoch(val) [10][1120/6282] eta: 0:03:56 time: 0.0514 data_time: 0.0065 memory: 674 2022/12/03 22:34:06 - mmengine - INFO - Epoch(val) [10][1140/6282] eta: 0:03:57 time: 0.0595 data_time: 0.0084 memory: 674 2022/12/03 22:34:07 - mmengine - INFO - Epoch(val) [10][1160/6282] eta: 0:03:56 time: 0.0527 data_time: 0.0093 memory: 674 2022/12/03 22:34:08 - mmengine - INFO - Epoch(val) [10][1180/6282] eta: 0:03:56 time: 0.0547 data_time: 0.0095 memory: 674 2022/12/03 22:34:09 - mmengine - INFO - Epoch(val) [10][1200/6282] eta: 0:03:56 time: 0.0560 data_time: 0.0088 memory: 674 2022/12/03 22:34:10 - mmengine - INFO - Epoch(val) [10][1220/6282] eta: 0:03:56 time: 0.0521 data_time: 0.0070 memory: 674 2022/12/03 22:34:11 - mmengine - INFO - Epoch(val) [10][1240/6282] eta: 0:03:56 time: 0.0606 data_time: 0.0087 memory: 732 2022/12/03 22:34:12 - mmengine - INFO - Epoch(val) [10][1260/6282] eta: 0:03:56 time: 0.0593 data_time: 0.0076 memory: 732 2022/12/03 22:34:13 - mmengine - INFO - Epoch(val) [10][1280/6282] eta: 0:03:55 time: 0.0528 data_time: 0.0051 memory: 732 2022/12/03 22:34:14 - mmengine - INFO - Epoch(val) [10][1300/6282] eta: 0:03:55 time: 0.0532 data_time: 0.0057 memory: 732 2022/12/03 22:34:16 - mmengine - INFO - Epoch(val) [10][1320/6282] eta: 0:03:54 time: 0.0539 data_time: 0.0055 memory: 732 2022/12/03 22:34:17 - mmengine - INFO - Epoch(val) [10][1340/6282] eta: 0:03:54 time: 0.0476 data_time: 0.0056 memory: 732 2022/12/03 22:34:18 - mmengine - INFO - Epoch(val) [10][1360/6282] eta: 0:03:53 time: 0.0497 data_time: 0.0061 memory: 732 2022/12/03 22:34:18 - mmengine - INFO - Epoch(val) [10][1380/6282] eta: 0:03:52 time: 0.0475 data_time: 0.0059 memory: 732 2022/12/03 22:34:19 - mmengine - INFO - Epoch(val) [10][1400/6282] eta: 0:03:51 time: 0.0454 data_time: 0.0047 memory: 732 2022/12/03 22:34:20 - mmengine - INFO - Epoch(val) [10][1420/6282] eta: 0:03:50 time: 0.0467 data_time: 0.0049 memory: 732 2022/12/03 22:34:21 - mmengine - INFO - Epoch(val) [10][1440/6282] eta: 0:03:48 time: 0.0421 data_time: 0.0039 memory: 732 2022/12/03 22:34:22 - mmengine - INFO - Epoch(val) [10][1460/6282] eta: 0:03:47 time: 0.0443 data_time: 0.0044 memory: 732 2022/12/03 22:34:23 - mmengine - INFO - Epoch(val) [10][1480/6282] eta: 0:03:46 time: 0.0429 data_time: 0.0051 memory: 732 2022/12/03 22:34:24 - mmengine - INFO - Epoch(val) [10][1500/6282] eta: 0:03:45 time: 0.0439 data_time: 0.0038 memory: 732 2022/12/03 22:34:25 - mmengine - INFO - Epoch(val) [10][1520/6282] eta: 0:03:44 time: 0.0440 data_time: 0.0047 memory: 819 2022/12/03 22:34:26 - mmengine - INFO - Epoch(val) [10][1540/6282] eta: 0:03:43 time: 0.0502 data_time: 0.0046 memory: 819 2022/12/03 22:34:27 - mmengine - INFO - Epoch(val) [10][1560/6282] eta: 0:03:42 time: 0.0520 data_time: 0.0044 memory: 819 2022/12/03 22:34:28 - mmengine - INFO - Epoch(val) [10][1580/6282] eta: 0:03:42 time: 0.0485 data_time: 0.0030 memory: 819 2022/12/03 22:34:29 - mmengine - INFO - Epoch(val) [10][1600/6282] eta: 0:03:41 time: 0.0516 data_time: 0.0033 memory: 819 2022/12/03 22:34:30 - mmengine - INFO - Epoch(val) [10][1620/6282] eta: 0:03:40 time: 0.0479 data_time: 0.0032 memory: 819 2022/12/03 22:34:31 - mmengine - INFO - Epoch(val) [10][1640/6282] eta: 0:03:39 time: 0.0415 data_time: 0.0033 memory: 732 2022/12/03 22:34:32 - mmengine - INFO - Epoch(val) [10][1660/6282] eta: 0:03:38 time: 0.0475 data_time: 0.0029 memory: 732 2022/12/03 22:34:33 - mmengine - INFO - Epoch(val) [10][1680/6282] eta: 0:03:37 time: 0.0538 data_time: 0.0079 memory: 732 2022/12/03 22:34:34 - mmengine - INFO - Epoch(val) [10][1700/6282] eta: 0:03:36 time: 0.0506 data_time: 0.0049 memory: 732 2022/12/03 22:34:35 - mmengine - INFO - Epoch(val) [10][1720/6282] eta: 0:03:36 time: 0.0510 data_time: 0.0059 memory: 732 2022/12/03 22:34:36 - mmengine - INFO - Epoch(val) [10][1740/6282] eta: 0:03:35 time: 0.0558 data_time: 0.0092 memory: 732 2022/12/03 22:34:37 - mmengine - INFO - Epoch(val) [10][1760/6282] eta: 0:03:34 time: 0.0523 data_time: 0.0065 memory: 732 2022/12/03 22:34:38 - mmengine - INFO - Epoch(val) [10][1780/6282] eta: 0:03:33 time: 0.0477 data_time: 0.0052 memory: 732 2022/12/03 22:34:39 - mmengine - INFO - Epoch(val) [10][1800/6282] eta: 0:03:33 time: 0.0567 data_time: 0.0101 memory: 732 2022/12/03 22:34:40 - mmengine - INFO - Epoch(val) [10][1820/6282] eta: 0:03:32 time: 0.0516 data_time: 0.0054 memory: 732 2022/12/03 22:34:41 - mmengine - INFO - Epoch(val) [10][1840/6282] eta: 0:03:31 time: 0.0520 data_time: 0.0061 memory: 732 2022/12/03 22:34:42 - mmengine - INFO - Epoch(val) [10][1860/6282] eta: 0:03:31 time: 0.0534 data_time: 0.0054 memory: 732 2022/12/03 22:34:43 - mmengine - INFO - Epoch(val) [10][1880/6282] eta: 0:03:30 time: 0.0493 data_time: 0.0061 memory: 732 2022/12/03 22:34:44 - mmengine - INFO - Epoch(val) [10][1900/6282] eta: 0:03:29 time: 0.0498 data_time: 0.0051 memory: 732 2022/12/03 22:34:45 - mmengine - INFO - Epoch(val) [10][1920/6282] eta: 0:03:28 time: 0.0495 data_time: 0.0062 memory: 732 2022/12/03 22:34:46 - mmengine - INFO - Epoch(val) [10][1940/6282] eta: 0:03:27 time: 0.0460 data_time: 0.0050 memory: 732 2022/12/03 22:34:47 - mmengine - INFO - Epoch(val) [10][1960/6282] eta: 0:03:26 time: 0.0424 data_time: 0.0052 memory: 678 2022/12/03 22:34:48 - mmengine - INFO - Epoch(val) [10][1980/6282] eta: 0:03:25 time: 0.0433 data_time: 0.0059 memory: 678 2022/12/03 22:34:49 - mmengine - INFO - Epoch(val) [10][2000/6282] eta: 0:03:24 time: 0.0417 data_time: 0.0044 memory: 678 2022/12/03 22:34:50 - mmengine - INFO - Epoch(val) [10][2020/6282] eta: 0:03:22 time: 0.0427 data_time: 0.0050 memory: 678 2022/12/03 22:34:50 - mmengine - INFO - Epoch(val) [10][2040/6282] eta: 0:03:21 time: 0.0402 data_time: 0.0044 memory: 678 2022/12/03 22:34:51 - mmengine - INFO - Epoch(val) [10][2060/6282] eta: 0:03:20 time: 0.0447 data_time: 0.0070 memory: 678 2022/12/03 22:34:52 - mmengine - INFO - Epoch(val) [10][2080/6282] eta: 0:03:19 time: 0.0410 data_time: 0.0045 memory: 678 2022/12/03 22:34:53 - mmengine - INFO - Epoch(val) [10][2100/6282] eta: 0:03:18 time: 0.0417 data_time: 0.0056 memory: 678 2022/12/03 22:34:54 - mmengine - INFO - Epoch(val) [10][2120/6282] eta: 0:03:17 time: 0.0423 data_time: 0.0040 memory: 678 2022/12/03 22:34:55 - mmengine - INFO - Epoch(val) [10][2140/6282] eta: 0:03:15 time: 0.0416 data_time: 0.0055 memory: 678 2022/12/03 22:34:56 - mmengine - INFO - Epoch(val) [10][2160/6282] eta: 0:03:14 time: 0.0425 data_time: 0.0043 memory: 674 2022/12/03 22:34:56 - mmengine - INFO - Epoch(val) [10][2180/6282] eta: 0:03:13 time: 0.0418 data_time: 0.0060 memory: 674 2022/12/03 22:34:57 - mmengine - INFO - Epoch(val) [10][2200/6282] eta: 0:03:12 time: 0.0424 data_time: 0.0049 memory: 674 2022/12/03 22:34:58 - mmengine - INFO - Epoch(val) [10][2220/6282] eta: 0:03:11 time: 0.0484 data_time: 0.0102 memory: 674 2022/12/03 22:34:59 - mmengine - INFO - Epoch(val) [10][2240/6282] eta: 0:03:10 time: 0.0435 data_time: 0.0056 memory: 674 2022/12/03 22:35:00 - mmengine - INFO - Epoch(val) [10][2260/6282] eta: 0:03:09 time: 0.0441 data_time: 0.0060 memory: 678 2022/12/03 22:35:01 - mmengine - INFO - Epoch(val) [10][2280/6282] eta: 0:03:08 time: 0.0458 data_time: 0.0062 memory: 678 2022/12/03 22:35:02 - mmengine - INFO - Epoch(val) [10][2300/6282] eta: 0:03:07 time: 0.0434 data_time: 0.0050 memory: 678 2022/12/03 22:35:03 - mmengine - INFO - Epoch(val) [10][2320/6282] eta: 0:03:06 time: 0.0478 data_time: 0.0072 memory: 678 2022/12/03 22:35:04 - mmengine - INFO - Epoch(val) [10][2340/6282] eta: 0:03:05 time: 0.0538 data_time: 0.0092 memory: 678 2022/12/03 22:35:05 - mmengine - INFO - Epoch(val) [10][2360/6282] eta: 0:03:05 time: 0.0542 data_time: 0.0090 memory: 674 2022/12/03 22:35:06 - mmengine - INFO - Epoch(val) [10][2380/6282] eta: 0:03:04 time: 0.0496 data_time: 0.0062 memory: 674 2022/12/03 22:35:07 - mmengine - INFO - Epoch(val) [10][2400/6282] eta: 0:03:03 time: 0.0499 data_time: 0.0071 memory: 674 2022/12/03 22:35:08 - mmengine - INFO - Epoch(val) [10][2420/6282] eta: 0:03:02 time: 0.0500 data_time: 0.0062 memory: 674 2022/12/03 22:35:09 - mmengine - INFO - Epoch(val) [10][2440/6282] eta: 0:03:01 time: 0.0439 data_time: 0.0049 memory: 674 2022/12/03 22:35:10 - mmengine - INFO - Epoch(val) [10][2460/6282] eta: 0:03:00 time: 0.0500 data_time: 0.0058 memory: 732 2022/12/03 22:35:11 - mmengine - INFO - Epoch(val) [10][2480/6282] eta: 0:02:59 time: 0.0505 data_time: 0.0059 memory: 732 2022/12/03 22:35:12 - mmengine - INFO - Epoch(val) [10][2500/6282] eta: 0:02:58 time: 0.0520 data_time: 0.0062 memory: 732 2022/12/03 22:35:13 - mmengine - INFO - Epoch(val) [10][2520/6282] eta: 0:02:58 time: 0.0506 data_time: 0.0074 memory: 732 2022/12/03 22:35:14 - mmengine - INFO - Epoch(val) [10][2540/6282] eta: 0:02:57 time: 0.0497 data_time: 0.0051 memory: 732 2022/12/03 22:35:15 - mmengine - INFO - Epoch(val) [10][2560/6282] eta: 0:02:56 time: 0.0495 data_time: 0.0037 memory: 732 2022/12/03 22:35:16 - mmengine - INFO - Epoch(val) [10][2580/6282] eta: 0:02:55 time: 0.0517 data_time: 0.0067 memory: 732 2022/12/03 22:35:17 - mmengine - INFO - Epoch(val) [10][2600/6282] eta: 0:02:54 time: 0.0514 data_time: 0.0064 memory: 732 2022/12/03 22:35:18 - mmengine - INFO - Epoch(val) [10][2620/6282] eta: 0:02:53 time: 0.0508 data_time: 0.0079 memory: 732 2022/12/03 22:35:19 - mmengine - INFO - Epoch(val) [10][2640/6282] eta: 0:02:52 time: 0.0511 data_time: 0.0057 memory: 732 2022/12/03 22:35:20 - mmengine - INFO - Epoch(val) [10][2660/6282] eta: 0:02:52 time: 0.0507 data_time: 0.0035 memory: 811 2022/12/03 22:35:21 - mmengine - INFO - Epoch(val) [10][2680/6282] eta: 0:02:51 time: 0.0531 data_time: 0.0060 memory: 811 2022/12/03 22:35:22 - mmengine - INFO - Epoch(val) [10][2700/6282] eta: 0:02:50 time: 0.0542 data_time: 0.0061 memory: 811 2022/12/03 22:35:23 - mmengine - INFO - Epoch(val) [10][2720/6282] eta: 0:02:49 time: 0.0517 data_time: 0.0047 memory: 811 2022/12/03 22:35:24 - mmengine - INFO - Epoch(val) [10][2740/6282] eta: 0:02:48 time: 0.0482 data_time: 0.0031 memory: 811 2022/12/03 22:35:25 - mmengine - INFO - Epoch(val) [10][2760/6282] eta: 0:02:47 time: 0.0409 data_time: 0.0040 memory: 678 2022/12/03 22:35:26 - mmengine - INFO - Epoch(val) [10][2780/6282] eta: 0:02:46 time: 0.0445 data_time: 0.0046 memory: 678 2022/12/03 22:35:27 - mmengine - INFO - Epoch(val) [10][2800/6282] eta: 0:02:45 time: 0.0418 data_time: 0.0044 memory: 678 2022/12/03 22:35:28 - mmengine - INFO - Epoch(val) [10][2820/6282] eta: 0:02:44 time: 0.0398 data_time: 0.0041 memory: 678 2022/12/03 22:35:28 - mmengine - INFO - Epoch(val) [10][2840/6282] eta: 0:02:43 time: 0.0377 data_time: 0.0045 memory: 678 2022/12/03 22:35:29 - mmengine - INFO - Epoch(val) [10][2860/6282] eta: 0:02:42 time: 0.0437 data_time: 0.0033 memory: 732 2022/12/03 22:35:30 - mmengine - INFO - Epoch(val) [10][2880/6282] eta: 0:02:41 time: 0.0464 data_time: 0.0041 memory: 732 2022/12/03 22:35:31 - mmengine - INFO - Epoch(val) [10][2900/6282] eta: 0:02:40 time: 0.0486 data_time: 0.0037 memory: 732 2022/12/03 22:35:32 - mmengine - INFO - Epoch(val) [10][2920/6282] eta: 0:02:39 time: 0.0421 data_time: 0.0044 memory: 732 2022/12/03 22:35:33 - mmengine - INFO - Epoch(val) [10][2940/6282] eta: 0:02:38 time: 0.0443 data_time: 0.0055 memory: 701 2022/12/03 22:35:34 - mmengine - INFO - Epoch(val) [10][2960/6282] eta: 0:02:37 time: 0.0422 data_time: 0.0046 memory: 701 2022/12/03 22:35:35 - mmengine - INFO - Epoch(val) [10][2980/6282] eta: 0:02:36 time: 0.0417 data_time: 0.0037 memory: 701 2022/12/03 22:35:36 - mmengine - INFO - Epoch(val) [10][3000/6282] eta: 0:02:34 time: 0.0437 data_time: 0.0045 memory: 701 2022/12/03 22:35:37 - mmengine - INFO - Epoch(val) [10][3020/6282] eta: 0:02:34 time: 0.0477 data_time: 0.0051 memory: 732 2022/12/03 22:35:37 - mmengine - INFO - Epoch(val) [10][3040/6282] eta: 0:02:33 time: 0.0455 data_time: 0.0048 memory: 732 2022/12/03 22:35:38 - mmengine - INFO - Epoch(val) [10][3060/6282] eta: 0:02:32 time: 0.0483 data_time: 0.0057 memory: 732 2022/12/03 22:35:39 - mmengine - INFO - Epoch(val) [10][3080/6282] eta: 0:02:31 time: 0.0464 data_time: 0.0043 memory: 732 2022/12/03 22:35:40 - mmengine - INFO - Epoch(val) [10][3100/6282] eta: 0:02:30 time: 0.0422 data_time: 0.0041 memory: 732 2022/12/03 22:35:41 - mmengine - INFO - Epoch(val) [10][3120/6282] eta: 0:02:29 time: 0.0441 data_time: 0.0061 memory: 678 2022/12/03 22:35:42 - mmengine - INFO - Epoch(val) [10][3140/6282] eta: 0:02:28 time: 0.0430 data_time: 0.0073 memory: 678 2022/12/03 22:35:43 - mmengine - INFO - Epoch(val) [10][3160/6282] eta: 0:02:27 time: 0.0429 data_time: 0.0046 memory: 678 2022/12/03 22:35:44 - mmengine - INFO - Epoch(val) [10][3180/6282] eta: 0:02:26 time: 0.0419 data_time: 0.0051 memory: 678 2022/12/03 22:35:45 - mmengine - INFO - Epoch(val) [10][3200/6282] eta: 0:02:25 time: 0.0470 data_time: 0.0056 memory: 732 2022/12/03 22:35:46 - mmengine - INFO - Epoch(val) [10][3220/6282] eta: 0:02:24 time: 0.0484 data_time: 0.0049 memory: 732 2022/12/03 22:35:47 - mmengine - INFO - Epoch(val) [10][3240/6282] eta: 0:02:23 time: 0.0453 data_time: 0.0054 memory: 732 2022/12/03 22:35:47 - mmengine - INFO - Epoch(val) [10][3260/6282] eta: 0:02:22 time: 0.0462 data_time: 0.0055 memory: 732 2022/12/03 22:35:48 - mmengine - INFO - Epoch(val) [10][3280/6282] eta: 0:02:21 time: 0.0457 data_time: 0.0041 memory: 732 2022/12/03 22:35:49 - mmengine - INFO - Epoch(val) [10][3300/6282] eta: 0:02:20 time: 0.0489 data_time: 0.0047 memory: 732 2022/12/03 22:35:50 - mmengine - INFO - Epoch(val) [10][3320/6282] eta: 0:02:19 time: 0.0473 data_time: 0.0053 memory: 732 2022/12/03 22:35:51 - mmengine - INFO - Epoch(val) [10][3340/6282] eta: 0:02:18 time: 0.0454 data_time: 0.0052 memory: 732 2022/12/03 22:35:52 - mmengine - INFO - Epoch(val) [10][3360/6282] eta: 0:02:17 time: 0.0470 data_time: 0.0055 memory: 732 2022/12/03 22:35:53 - mmengine - INFO - Epoch(val) [10][3380/6282] eta: 0:02:16 time: 0.0443 data_time: 0.0042 memory: 732 2022/12/03 22:35:54 - mmengine - INFO - Epoch(val) [10][3400/6282] eta: 0:02:15 time: 0.0434 data_time: 0.0064 memory: 674 2022/12/03 22:35:55 - mmengine - INFO - Epoch(val) [10][3420/6282] eta: 0:02:14 time: 0.0410 data_time: 0.0040 memory: 674 2022/12/03 22:35:56 - mmengine - INFO - Epoch(val) [10][3440/6282] eta: 0:02:13 time: 0.0419 data_time: 0.0058 memory: 674 2022/12/03 22:35:57 - mmengine - INFO - Epoch(val) [10][3460/6282] eta: 0:02:12 time: 0.0448 data_time: 0.0058 memory: 674 2022/12/03 22:35:57 - mmengine - INFO - Epoch(val) [10][3480/6282] eta: 0:02:11 time: 0.0405 data_time: 0.0048 memory: 674 2022/12/03 22:35:58 - mmengine - INFO - Epoch(val) [10][3500/6282] eta: 0:02:10 time: 0.0424 data_time: 0.0047 memory: 674 2022/12/03 22:35:59 - mmengine - INFO - Epoch(val) [10][3520/6282] eta: 0:02:09 time: 0.0441 data_time: 0.0044 memory: 674 2022/12/03 22:36:00 - mmengine - INFO - Epoch(val) [10][3540/6282] eta: 0:02:08 time: 0.0441 data_time: 0.0057 memory: 674 2022/12/03 22:36:01 - mmengine - INFO - Epoch(val) [10][3560/6282] eta: 0:02:07 time: 0.0448 data_time: 0.0053 memory: 674 2022/12/03 22:36:02 - mmengine - INFO - Epoch(val) [10][3580/6282] eta: 0:02:06 time: 0.0415 data_time: 0.0044 memory: 715 2022/12/03 22:36:03 - mmengine - INFO - Epoch(val) [10][3600/6282] eta: 0:02:05 time: 0.0460 data_time: 0.0053 memory: 715 2022/12/03 22:36:04 - mmengine - INFO - Epoch(val) [10][3620/6282] eta: 0:02:04 time: 0.0472 data_time: 0.0064 memory: 715 2022/12/03 22:36:05 - mmengine - INFO - Epoch(val) [10][3640/6282] eta: 0:02:03 time: 0.0467 data_time: 0.0054 memory: 715 2022/12/03 22:36:06 - mmengine - INFO - Epoch(val) [10][3660/6282] eta: 0:02:02 time: 0.0475 data_time: 0.0070 memory: 715 2022/12/03 22:36:07 - mmengine - INFO - Epoch(val) [10][3680/6282] eta: 0:02:01 time: 0.0485 data_time: 0.0052 memory: 732 2022/12/03 22:36:07 - mmengine - INFO - Epoch(val) [10][3700/6282] eta: 0:02:00 time: 0.0468 data_time: 0.0043 memory: 732 2022/12/03 22:36:08 - mmengine - INFO - Epoch(val) [10][3720/6282] eta: 0:01:59 time: 0.0465 data_time: 0.0047 memory: 732 2022/12/03 22:36:09 - mmengine - INFO - Epoch(val) [10][3740/6282] eta: 0:01:58 time: 0.0456 data_time: 0.0052 memory: 732 2022/12/03 22:36:10 - mmengine - INFO - Epoch(val) [10][3760/6282] eta: 0:01:58 time: 0.0466 data_time: 0.0048 memory: 732 2022/12/03 22:36:11 - mmengine - INFO - Epoch(val) [10][3780/6282] eta: 0:01:57 time: 0.0441 data_time: 0.0039 memory: 732 2022/12/03 22:36:12 - mmengine - INFO - Epoch(val) [10][3800/6282] eta: 0:01:56 time: 0.0450 data_time: 0.0041 memory: 732 2022/12/03 22:36:13 - mmengine - INFO - Epoch(val) [10][3820/6282] eta: 0:01:55 time: 0.0445 data_time: 0.0039 memory: 732 2022/12/03 22:36:14 - mmengine - INFO - Epoch(val) [10][3840/6282] eta: 0:01:54 time: 0.0424 data_time: 0.0029 memory: 732 2022/12/03 22:36:15 - mmengine - INFO - Epoch(val) [10][3860/6282] eta: 0:01:53 time: 0.0411 data_time: 0.0036 memory: 732 2022/12/03 22:36:16 - mmengine - INFO - Epoch(val) [10][3880/6282] eta: 0:01:52 time: 0.0459 data_time: 0.0044 memory: 732 2022/12/03 22:36:17 - mmengine - INFO - Epoch(val) [10][3900/6282] eta: 0:01:51 time: 0.0465 data_time: 0.0069 memory: 732 2022/12/03 22:36:17 - mmengine - INFO - Epoch(val) [10][3920/6282] eta: 0:01:50 time: 0.0465 data_time: 0.0046 memory: 732 2022/12/03 22:36:18 - mmengine - INFO - Epoch(val) [10][3940/6282] eta: 0:01:49 time: 0.0462 data_time: 0.0042 memory: 732 2022/12/03 22:36:19 - mmengine - INFO - Epoch(val) [10][3960/6282] eta: 0:01:48 time: 0.0444 data_time: 0.0031 memory: 732 2022/12/03 22:36:20 - mmengine - INFO - Epoch(val) [10][3980/6282] eta: 0:01:47 time: 0.0461 data_time: 0.0045 memory: 732 2022/12/03 22:36:21 - mmengine - INFO - Epoch(val) [10][4000/6282] eta: 0:01:46 time: 0.0460 data_time: 0.0036 memory: 732 2022/12/03 22:36:22 - mmengine - INFO - Epoch(val) [10][4020/6282] eta: 0:01:45 time: 0.0443 data_time: 0.0037 memory: 732 2022/12/03 22:36:23 - mmengine - INFO - Epoch(val) [10][4040/6282] eta: 0:01:44 time: 0.0468 data_time: 0.0041 memory: 811 2022/12/03 22:36:24 - mmengine - INFO - Epoch(val) [10][4060/6282] eta: 0:01:43 time: 0.0500 data_time: 0.0048 memory: 811 2022/12/03 22:36:25 - mmengine - INFO - Epoch(val) [10][4080/6282] eta: 0:01:42 time: 0.0498 data_time: 0.0037 memory: 811 2022/12/03 22:36:26 - mmengine - INFO - Epoch(val) [10][4100/6282] eta: 0:01:41 time: 0.0503 data_time: 0.0035 memory: 811 2022/12/03 22:36:27 - mmengine - INFO - Epoch(val) [10][4120/6282] eta: 0:01:41 time: 0.0513 data_time: 0.0034 memory: 811 2022/12/03 22:36:28 - mmengine - INFO - Epoch(val) [10][4140/6282] eta: 0:01:40 time: 0.0452 data_time: 0.0045 memory: 811 2022/12/03 22:36:29 - mmengine - INFO - Epoch(val) [10][4160/6282] eta: 0:01:39 time: 0.0408 data_time: 0.0060 memory: 674 2022/12/03 22:36:30 - mmengine - INFO - Epoch(val) [10][4180/6282] eta: 0:01:38 time: 0.0426 data_time: 0.0052 memory: 674 2022/12/03 22:36:30 - mmengine - INFO - Epoch(val) [10][4200/6282] eta: 0:01:37 time: 0.0395 data_time: 0.0035 memory: 674 2022/12/03 22:36:31 - mmengine - INFO - Epoch(val) [10][4220/6282] eta: 0:01:36 time: 0.0406 data_time: 0.0047 memory: 674 2022/12/03 22:36:32 - mmengine - INFO - Epoch(val) [10][4240/6282] eta: 0:01:35 time: 0.0398 data_time: 0.0044 memory: 674 2022/12/03 22:36:33 - mmengine - INFO - Epoch(val) [10][4260/6282] eta: 0:01:34 time: 0.0415 data_time: 0.0053 memory: 672 2022/12/03 22:36:34 - mmengine - INFO - Epoch(val) [10][4280/6282] eta: 0:01:33 time: 0.0407 data_time: 0.0041 memory: 672 2022/12/03 22:36:35 - mmengine - INFO - Epoch(val) [10][4300/6282] eta: 0:01:32 time: 0.0396 data_time: 0.0036 memory: 672 2022/12/03 22:36:35 - mmengine - INFO - Epoch(val) [10][4320/6282] eta: 0:01:31 time: 0.0407 data_time: 0.0043 memory: 672 2022/12/03 22:36:36 - mmengine - INFO - Epoch(val) [10][4340/6282] eta: 0:01:30 time: 0.0400 data_time: 0.0040 memory: 672 2022/12/03 22:36:37 - mmengine - INFO - Epoch(val) [10][4360/6282] eta: 0:01:29 time: 0.0447 data_time: 0.0040 memory: 732 2022/12/03 22:36:38 - mmengine - INFO - Epoch(val) [10][4380/6282] eta: 0:01:28 time: 0.0443 data_time: 0.0033 memory: 732 2022/12/03 22:36:39 - mmengine - INFO - Epoch(val) [10][4400/6282] eta: 0:01:27 time: 0.0419 data_time: 0.0034 memory: 732 2022/12/03 22:36:40 - mmengine - INFO - Epoch(val) [10][4420/6282] eta: 0:01:26 time: 0.0410 data_time: 0.0038 memory: 732 2022/12/03 22:36:41 - mmengine - INFO - Epoch(val) [10][4440/6282] eta: 0:01:25 time: 0.0436 data_time: 0.0040 memory: 739 2022/12/03 22:36:41 - mmengine - INFO - Epoch(val) [10][4460/6282] eta: 0:01:24 time: 0.0438 data_time: 0.0029 memory: 739 2022/12/03 22:36:42 - mmengine - INFO - Epoch(val) [10][4480/6282] eta: 0:01:23 time: 0.0505 data_time: 0.0050 memory: 739 2022/12/03 22:36:43 - mmengine - INFO - Epoch(val) [10][4500/6282] eta: 0:01:22 time: 0.0452 data_time: 0.0047 memory: 739 2022/12/03 22:36:44 - mmengine - INFO - Epoch(val) [10][4520/6282] eta: 0:01:21 time: 0.0444 data_time: 0.0048 memory: 739 2022/12/03 22:36:45 - mmengine - INFO - Epoch(val) [10][4540/6282] eta: 0:01:20 time: 0.0416 data_time: 0.0047 memory: 678 2022/12/03 22:36:46 - mmengine - INFO - Epoch(val) [10][4560/6282] eta: 0:01:19 time: 0.0404 data_time: 0.0045 memory: 678 2022/12/03 22:36:47 - mmengine - INFO - Epoch(val) [10][4580/6282] eta: 0:01:18 time: 0.0393 data_time: 0.0036 memory: 678 2022/12/03 22:36:47 - mmengine - INFO - Epoch(val) [10][4600/6282] eta: 0:01:17 time: 0.0387 data_time: 0.0038 memory: 678 2022/12/03 22:36:48 - mmengine - INFO - Epoch(val) [10][4620/6282] eta: 0:01:16 time: 0.0419 data_time: 0.0037 memory: 678 2022/12/03 22:36:49 - mmengine - INFO - Epoch(val) [10][4640/6282] eta: 0:01:15 time: 0.0459 data_time: 0.0049 memory: 739 2022/12/03 22:36:50 - mmengine - INFO - Epoch(val) [10][4660/6282] eta: 0:01:14 time: 0.0426 data_time: 0.0038 memory: 739 2022/12/03 22:36:51 - mmengine - INFO - Epoch(val) [10][4680/6282] eta: 0:01:14 time: 0.0452 data_time: 0.0039 memory: 739 2022/12/03 22:36:52 - mmengine - INFO - Epoch(val) [10][4700/6282] eta: 0:01:13 time: 0.0464 data_time: 0.0043 memory: 739 2022/12/03 22:36:53 - mmengine - INFO - Epoch(val) [10][4720/6282] eta: 0:01:12 time: 0.0431 data_time: 0.0042 memory: 739 2022/12/03 22:36:54 - mmengine - INFO - Epoch(val) [10][4740/6282] eta: 0:01:11 time: 0.0428 data_time: 0.0041 memory: 698 2022/12/03 22:36:55 - mmengine - INFO - Epoch(val) [10][4760/6282] eta: 0:01:10 time: 0.0423 data_time: 0.0052 memory: 698 2022/12/03 22:36:55 - mmengine - INFO - Epoch(val) [10][4780/6282] eta: 0:01:09 time: 0.0416 data_time: 0.0043 memory: 698 2022/12/03 22:36:56 - mmengine - INFO - Epoch(val) [10][4800/6282] eta: 0:01:08 time: 0.0442 data_time: 0.0054 memory: 698 2022/12/03 22:36:57 - mmengine - INFO - Epoch(val) [10][4820/6282] eta: 0:01:07 time: 0.0437 data_time: 0.0052 memory: 732 2022/12/03 22:36:58 - mmengine - INFO - Epoch(val) [10][4840/6282] eta: 0:01:06 time: 0.0503 data_time: 0.0085 memory: 732 2022/12/03 22:36:59 - mmengine - INFO - Epoch(val) [10][4860/6282] eta: 0:01:05 time: 0.0483 data_time: 0.0056 memory: 732 2022/12/03 22:37:00 - mmengine - INFO - Epoch(val) [10][4880/6282] eta: 0:01:04 time: 0.0481 data_time: 0.0054 memory: 732 2022/12/03 22:37:01 - mmengine - INFO - Epoch(val) [10][4900/6282] eta: 0:01:03 time: 0.0489 data_time: 0.0051 memory: 732 2022/12/03 22:37:02 - mmengine - INFO - Epoch(val) [10][4920/6282] eta: 0:01:02 time: 0.0457 data_time: 0.0061 memory: 735 2022/12/03 22:37:03 - mmengine - INFO - Epoch(val) [10][4940/6282] eta: 0:01:01 time: 0.0465 data_time: 0.0042 memory: 735 2022/12/03 22:37:04 - mmengine - INFO - Epoch(val) [10][4960/6282] eta: 0:01:01 time: 0.0494 data_time: 0.0040 memory: 735 2022/12/03 22:37:05 - mmengine - INFO - Epoch(val) [10][4980/6282] eta: 0:01:00 time: 0.0522 data_time: 0.0057 memory: 735 2022/12/03 22:37:06 - mmengine - INFO - Epoch(val) [10][5000/6282] eta: 0:00:59 time: 0.0479 data_time: 0.0051 memory: 735 2022/12/03 22:37:07 - mmengine - INFO - Epoch(val) [10][5020/6282] eta: 0:00:58 time: 0.0435 data_time: 0.0046 memory: 735 2022/12/03 22:37:08 - mmengine - INFO - Epoch(val) [10][5040/6282] eta: 0:00:57 time: 0.0432 data_time: 0.0037 memory: 678 2022/12/03 22:37:09 - mmengine - INFO - Epoch(val) [10][5060/6282] eta: 0:00:56 time: 0.0435 data_time: 0.0045 memory: 678 2022/12/03 22:37:09 - mmengine - INFO - Epoch(val) [10][5080/6282] eta: 0:00:55 time: 0.0421 data_time: 0.0051 memory: 678 2022/12/03 22:37:10 - mmengine - INFO - Epoch(val) [10][5100/6282] eta: 0:00:54 time: 0.0425 data_time: 0.0058 memory: 678 2022/12/03 22:37:11 - mmengine - INFO - Epoch(val) [10][5120/6282] eta: 0:00:53 time: 0.0421 data_time: 0.0049 memory: 678 2022/12/03 22:37:12 - mmengine - INFO - Epoch(val) [10][5140/6282] eta: 0:00:52 time: 0.0419 data_time: 0.0054 memory: 674 2022/12/03 22:37:13 - mmengine - INFO - Epoch(val) [10][5160/6282] eta: 0:00:51 time: 0.0426 data_time: 0.0053 memory: 674 2022/12/03 22:37:14 - mmengine - INFO - Epoch(val) [10][5180/6282] eta: 0:00:50 time: 0.0424 data_time: 0.0055 memory: 674 2022/12/03 22:37:15 - mmengine - INFO - Epoch(val) [10][5200/6282] eta: 0:00:49 time: 0.0425 data_time: 0.0039 memory: 674 2022/12/03 22:37:15 - mmengine - INFO - Epoch(val) [10][5220/6282] eta: 0:00:48 time: 0.0412 data_time: 0.0055 memory: 674 2022/12/03 22:37:16 - mmengine - INFO - Epoch(val) [10][5240/6282] eta: 0:00:48 time: 0.0446 data_time: 0.0057 memory: 672 2022/12/03 22:37:17 - mmengine - INFO - Epoch(val) [10][5260/6282] eta: 0:00:47 time: 0.0407 data_time: 0.0046 memory: 672 2022/12/03 22:37:18 - mmengine - INFO - Epoch(val) [10][5280/6282] eta: 0:00:46 time: 0.0445 data_time: 0.0065 memory: 672 2022/12/03 22:37:19 - mmengine - INFO - Epoch(val) [10][5300/6282] eta: 0:00:45 time: 0.0446 data_time: 0.0067 memory: 672 2022/12/03 22:37:20 - mmengine - INFO - Epoch(val) [10][5320/6282] eta: 0:00:44 time: 0.0419 data_time: 0.0050 memory: 674 2022/12/03 22:37:21 - mmengine - INFO - Epoch(val) [10][5340/6282] eta: 0:00:43 time: 0.0466 data_time: 0.0090 memory: 674 2022/12/03 22:37:22 - mmengine - INFO - Epoch(val) [10][5360/6282] eta: 0:00:42 time: 0.0423 data_time: 0.0068 memory: 674 2022/12/03 22:37:22 - mmengine - INFO - Epoch(val) [10][5380/6282] eta: 0:00:41 time: 0.0437 data_time: 0.0054 memory: 674 2022/12/03 22:37:23 - mmengine - INFO - Epoch(val) [10][5400/6282] eta: 0:00:40 time: 0.0399 data_time: 0.0048 memory: 674 2022/12/03 22:37:24 - mmengine - INFO - Epoch(val) [10][5420/6282] eta: 0:00:39 time: 0.0418 data_time: 0.0054 memory: 674 2022/12/03 22:37:25 - mmengine - INFO - Epoch(val) [10][5440/6282] eta: 0:00:38 time: 0.0405 data_time: 0.0036 memory: 674 2022/12/03 22:37:26 - mmengine - INFO - Epoch(val) [10][5460/6282] eta: 0:00:37 time: 0.0424 data_time: 0.0048 memory: 674 2022/12/03 22:37:27 - mmengine - INFO - Epoch(val) [10][5480/6282] eta: 0:00:36 time: 0.0428 data_time: 0.0069 memory: 674 2022/12/03 22:37:28 - mmengine - INFO - Epoch(val) [10][5500/6282] eta: 0:00:35 time: 0.0434 data_time: 0.0050 memory: 674 2022/12/03 22:37:28 - mmengine - INFO - Epoch(val) [10][5520/6282] eta: 0:00:34 time: 0.0401 data_time: 0.0048 memory: 694 2022/12/03 22:37:29 - mmengine - INFO - Epoch(val) [10][5540/6282] eta: 0:00:34 time: 0.0439 data_time: 0.0040 memory: 694 2022/12/03 22:37:30 - mmengine - INFO - Epoch(val) [10][5560/6282] eta: 0:00:33 time: 0.0458 data_time: 0.0059 memory: 694 2022/12/03 22:37:31 - mmengine - INFO - Epoch(val) [10][5580/6282] eta: 0:00:32 time: 0.0426 data_time: 0.0038 memory: 694 2022/12/03 22:37:32 - mmengine - INFO - Epoch(val) [10][5600/6282] eta: 0:00:31 time: 0.0416 data_time: 0.0054 memory: 694 2022/12/03 22:37:33 - mmengine - INFO - Epoch(val) [10][5620/6282] eta: 0:00:30 time: 0.0410 data_time: 0.0040 memory: 694 2022/12/03 22:37:33 - mmengine - INFO - Epoch(val) [10][5640/6282] eta: 0:00:29 time: 0.0390 data_time: 0.0051 memory: 674 2022/12/03 22:37:34 - mmengine - INFO - Epoch(val) [10][5660/6282] eta: 0:00:28 time: 0.0379 data_time: 0.0040 memory: 674 2022/12/03 22:37:35 - mmengine - INFO - Epoch(val) [10][5680/6282] eta: 0:00:27 time: 0.0386 data_time: 0.0039 memory: 674 2022/12/03 22:37:36 - mmengine - INFO - Epoch(val) [10][5700/6282] eta: 0:00:26 time: 0.0385 data_time: 0.0040 memory: 674 2022/12/03 22:37:37 - mmengine - INFO - Epoch(val) [10][5720/6282] eta: 0:00:25 time: 0.0405 data_time: 0.0041 memory: 707 2022/12/03 22:37:38 - mmengine - INFO - Epoch(val) [10][5740/6282] eta: 0:00:24 time: 0.0425 data_time: 0.0044 memory: 707 2022/12/03 22:37:38 - mmengine - INFO - Epoch(val) [10][5760/6282] eta: 0:00:23 time: 0.0424 data_time: 0.0036 memory: 707 2022/12/03 22:37:39 - mmengine - INFO - Epoch(val) [10][5780/6282] eta: 0:00:22 time: 0.0432 data_time: 0.0043 memory: 707 2022/12/03 22:37:40 - mmengine - INFO - Epoch(val) [10][5800/6282] eta: 0:00:22 time: 0.0434 data_time: 0.0041 memory: 707 2022/12/03 22:37:41 - mmengine - INFO - Epoch(val) [10][5820/6282] eta: 0:00:21 time: 0.0438 data_time: 0.0061 memory: 707 2022/12/03 22:37:42 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:20 time: 0.0421 data_time: 0.0041 memory: 694 2022/12/03 22:37:43 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:19 time: 0.0403 data_time: 0.0049 memory: 694 2022/12/03 22:37:43 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:18 time: 0.0403 data_time: 0.0050 memory: 694 2022/12/03 22:37:44 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:17 time: 0.0390 data_time: 0.0038 memory: 694 2022/12/03 22:37:45 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:16 time: 0.0372 data_time: 0.0041 memory: 694 2022/12/03 22:37:46 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:15 time: 0.0357 data_time: 0.0035 memory: 674 2022/12/03 22:37:46 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:14 time: 0.0338 data_time: 0.0034 memory: 674 2022/12/03 22:37:47 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:13 time: 0.0300 data_time: 0.0024 memory: 674 2022/12/03 22:37:48 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:12 time: 0.0330 data_time: 0.0020 memory: 732 2022/12/03 22:37:48 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:11 time: 0.0339 data_time: 0.0020 memory: 732 2022/12/03 22:37:49 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:10 time: 0.0349 data_time: 0.0021 memory: 732 2022/12/03 22:37:50 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:10 time: 0.0337 data_time: 0.0021 memory: 732 2022/12/03 22:37:50 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:09 time: 0.0338 data_time: 0.0019 memory: 732 2022/12/03 22:37:51 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:08 time: 0.0337 data_time: 0.0020 memory: 732 2022/12/03 22:37:52 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:07 time: 0.0334 data_time: 0.0020 memory: 732 2022/12/03 22:37:52 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:06 time: 0.0332 data_time: 0.0018 memory: 732 2022/12/03 22:37:53 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:05 time: 0.0333 data_time: 0.0018 memory: 732 2022/12/03 22:37:54 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:04 time: 0.0328 data_time: 0.0017 memory: 732 2022/12/03 22:37:54 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:03 time: 0.0327 data_time: 0.0016 memory: 732 2022/12/03 22:37:55 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:02 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 22:37:56 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:01 time: 0.0322 data_time: 0.0014 memory: 732 2022/12/03 22:37:56 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:00 time: 0.0323 data_time: 0.0015 memory: 732 2022/12/03 22:37:57 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0321 data_time: 0.0014 memory: 732 2022/12/03 22:41:11 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.2782