2023/03/10 15:14:37 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.7.13 (default, Mar 29 2022, 02:18:16) [GCC 7.5.0] CUDA available: True numpy_random_seed: 1129068701 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: 0.5.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None diff_rank_seed: False deterministic: False Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2023/03/10 15:14:39 - mmengine - INFO - Config: default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=20, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=1, save_best='auto', max_keep_ckpts=2), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffers=dict(type='SyncBuffersHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='ActionVisualizer', vis_backends=[dict(type='LocalVisBackend')]) log_level = 'INFO' load_from = None resume = False url = 'https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth' model = dict( type='FastRCNN', _scope_='mmdet', init_cfg=dict( type='Pretrained', checkpoint= 'https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth' ), backbone=dict( type='VisionTransformer', img_size=224, patch_size=16, embed_dims=768, depth=12, num_heads=12, mlp_ratio=4, qkv_bias=True, num_frames=16, norm_cfg=dict(type='LN', eps=1e-06), drop_path_rate=0.2, use_mean_pooling=False, return_feat_map=True), 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=768, 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=16, frame_interval=4), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='RandomRescale', scale_range=(256, 320)), dict(type='RandomCrop', size=256), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ] val_pipeline = [ dict( type='SampleAVAFrames', clip_len=16, frame_interval=4, test_mode=True), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='Resize', scale=(-1, 256)), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ] train_dataloader = dict( batch_size=8, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='AVAKineticsDataset', ann_file='data/ava_kinetics/annotations/ava_train_v2.2.csv', exclude_file= 'data/ava_kinetics/annotations/ava_train_excluded_timestamps_v2.2.csv', pipeline=[ dict(type='SampleAVAFrames', clip_len=16, frame_interval=4), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='RandomRescale', scale_range=(256, 320)), dict(type='RandomCrop', size=256), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ], label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', proposal_file= 'data/ava_kinetics/annotations/ava_dense_proposals_train.FAIR.recall_93.9.pkl', data_prefix=dict(img='data/ava_kinetics/rawframes'))) val_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='AVAKineticsDataset', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv', pipeline=[ dict( type='SampleAVAFrames', clip_len=16, frame_interval=4, test_mode=True), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='Resize', scale=(-1, 256)), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ], label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', proposal_file= 'data/ava_kinetics/annotations/ava_dense_proposals_val.FAIR.recall_93.9.pkl', data_prefix=dict(img='data/ava_kinetics/rawframes'), test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='AVAKineticsDataset', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv', pipeline=[ dict( type='SampleAVAFrames', clip_len=16, frame_interval=4, test_mode=True), dict( type='RawFrameDecode', io_backend='petrel', path_mapping=dict({ 'data/ava_kinetics/rawframes/': 's3://openmmlab/datasets/action/ava/rawframes/' })), dict(type='Resize', scale=(-1, 256)), dict(type='FormatShape', input_format='NCTHW', collapse=True), dict(type='PackActionInputs') ], label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', proposal_file= 'data/ava_kinetics/annotations/ava_dense_proposals_val.FAIR.recall_93.9.pkl', data_prefix=dict(img='data/ava_kinetics/rawframes'), test_mode=True)) val_evaluator = dict( type='AVAMetric', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv') test_evaluator = dict( type='AVAMetric', ann_file='data/ava_kinetics/annotations/ava_val_v2.2.csv', label_file= 'data/ava_kinetics/annotations/ava_action_list_v2.2_for_activitynet_2019.pbtxt', exclude_file= 'data/ava_kinetics/annotations/ava_val_excluded_timestamps_v2.2.csv') train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=20, 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=5, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=15, eta_min=0, by_epoch=True, begin=5, end=20, convert_to_iter_based=True) ] optim_wrapper = dict( optimizer=dict(type='AdamW', lr=0.000125, weight_decay=0.05), constructor='LearningRateDecayOptimizerConstructor', paramwise_cfg=dict( decay_rate=0.75, decay_type='layer_wise', num_layers=12), clip_grad=dict(max_norm=40, norm_type=2)) auto_scale_lr = dict(enable=False, base_batch_size=64) launcher = 'pytorch' work_dir = './work_dirs/vit-b_16x4' randomness = dict(seed=None, diff_rank_seed=False, deterministic=False) 2023/03/10 15:14:43 - mmengine - WARNING - The "model" registry in mmdet did not set import location. Fallback to call `mmdet.utils.register_all_modules` instead. 2023/03/10 15:14:46 - mmengine - WARNING - The "task util" registry in mmdet did not set import location. Fallback to call `mmdet.utils.register_all_modules` instead. 2023/03/10 15:14:46 - 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 (LOW ) ParamSchedulerHook (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 -------------------- 2023/03/10 15:15:18 - mmengine - INFO - 284842 out of 284842 frames are valid. 2023/03/10 15:15:25 - mmengine - INFO - self.paramwise_cfg is {'decay_rate': 0.75, 'decay_type': 'layer_wise', 'num_layers': 12} 2023/03/10 15:15:25 - mmengine - INFO - Build LearningRateDecayOptimizerConstructor layer_wise 0.75 - 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.patch_embed.projection.weight as id 0 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.patch_embed.projection.bias as id 0 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.norm1.weight as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.norm1.bias as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.attn.q_bias as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.attn.v_bias as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.attn.qkv.weight as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.attn.proj.weight as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.attn.proj.bias as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.norm2.weight as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.norm2.bias as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.mlp.layers.0.0.weight as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.mlp.layers.0.0.bias as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.mlp.layers.1.weight as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.0.mlp.layers.1.bias as id 1 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.norm1.weight as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.norm1.bias as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.attn.q_bias as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.attn.v_bias as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.attn.qkv.weight as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.attn.proj.weight as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.attn.proj.bias as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.norm2.weight as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.norm2.bias as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.mlp.layers.0.0.weight as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.mlp.layers.0.0.bias as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.mlp.layers.1.weight as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.1.mlp.layers.1.bias as id 2 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.norm1.weight as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.norm1.bias as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.attn.q_bias as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.attn.v_bias as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.attn.qkv.weight as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.attn.proj.weight as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.attn.proj.bias as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.norm2.weight as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.norm2.bias as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.mlp.layers.0.0.weight as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.mlp.layers.0.0.bias as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.mlp.layers.1.weight as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.2.mlp.layers.1.bias as id 3 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.norm1.weight as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.norm1.bias as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.attn.q_bias as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.attn.v_bias as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.attn.qkv.weight as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.attn.proj.weight as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.attn.proj.bias as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.norm2.weight as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.norm2.bias as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.mlp.layers.0.0.weight as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.mlp.layers.0.0.bias as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.mlp.layers.1.weight as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.3.mlp.layers.1.bias as id 4 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.norm1.weight as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.norm1.bias as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.attn.q_bias as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.attn.v_bias as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.attn.qkv.weight as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.attn.proj.weight as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.attn.proj.bias as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.norm2.weight as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.norm2.bias as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.mlp.layers.0.0.weight as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.mlp.layers.0.0.bias as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.mlp.layers.1.weight as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.4.mlp.layers.1.bias as id 5 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.norm1.weight as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.norm1.bias as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.attn.q_bias as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.attn.v_bias as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.attn.qkv.weight as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.attn.proj.weight as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.attn.proj.bias as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.norm2.weight as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.norm2.bias as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.mlp.layers.0.0.weight as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.mlp.layers.0.0.bias as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.mlp.layers.1.weight as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.5.mlp.layers.1.bias as id 6 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.norm1.weight as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.norm1.bias as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.attn.q_bias as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.attn.v_bias as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.attn.qkv.weight as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.attn.proj.weight as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.attn.proj.bias as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.norm2.weight as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.norm2.bias as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.mlp.layers.0.0.weight as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.mlp.layers.0.0.bias as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.mlp.layers.1.weight as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.6.mlp.layers.1.bias as id 7 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.norm1.weight as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.norm1.bias as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.attn.q_bias as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.attn.v_bias as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.attn.qkv.weight as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.attn.proj.weight as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.attn.proj.bias as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.norm2.weight as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.norm2.bias as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.mlp.layers.0.0.weight as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.mlp.layers.0.0.bias as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.mlp.layers.1.weight as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.7.mlp.layers.1.bias as id 8 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.norm1.weight as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.norm1.bias as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.attn.q_bias as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.attn.v_bias as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.attn.qkv.weight as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.attn.proj.weight as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.attn.proj.bias as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.norm2.weight as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.norm2.bias as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.mlp.layers.0.0.weight as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.mlp.layers.0.0.bias as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.mlp.layers.1.weight as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.8.mlp.layers.1.bias as id 9 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.norm1.weight as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.norm1.bias as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.attn.q_bias as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.attn.v_bias as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.attn.qkv.weight as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.attn.proj.weight as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.attn.proj.bias as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.norm2.weight as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.norm2.bias as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.mlp.layers.0.0.weight as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.mlp.layers.0.0.bias as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.mlp.layers.1.weight as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.9.mlp.layers.1.bias as id 10 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.norm1.weight as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.norm1.bias as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.attn.q_bias as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.attn.v_bias as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.attn.qkv.weight as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.attn.proj.weight as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.attn.proj.bias as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.norm2.weight as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.norm2.bias as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.mlp.layers.0.0.weight as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.mlp.layers.0.0.bias as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.mlp.layers.1.weight as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.10.mlp.layers.1.bias as id 11 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.norm1.weight as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.norm1.bias as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.attn.q_bias as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.attn.v_bias as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.attn.qkv.weight as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.attn.proj.weight as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.attn.proj.bias as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.norm2.weight as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.norm2.bias as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.mlp.layers.0.0.weight as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.mlp.layers.0.0.bias as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.mlp.layers.1.weight as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.blocks.11.mlp.layers.1.bias as id 12 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.norm.weight as id 13 2023/03/10 15:15:25 - mmengine - INFO - set param backbone.norm.bias as id 13 2023/03/10 15:15:25 - mmengine - INFO - set param roi_head.bbox_head.fc_cls.weight as id 13 2023/03/10 15:15:25 - mmengine - INFO - set param roi_head.bbox_head.fc_cls.bias as id 13 2023/03/10 15:15:25 - mmengine - INFO - Param groups = { "layer_0_decay": { "param_names": [ "backbone.patch_embed.projection.weight" ], "lr_scale": 0.023757264018058777, "lr": 2.9696580022573473e-06, "weight_decay": 0.05 }, "layer_0_no_decay": { "param_names": [ "backbone.patch_embed.projection.bias" ], "lr_scale": 0.023757264018058777, "lr": 2.9696580022573473e-06, "weight_decay": 0.0 }, "layer_1_no_decay": { "param_names": [ "backbone.blocks.0.norm1.weight", "backbone.blocks.0.norm1.bias", "backbone.blocks.0.attn.q_bias", "backbone.blocks.0.attn.v_bias", "backbone.blocks.0.attn.proj.bias", "backbone.blocks.0.norm2.weight", "backbone.blocks.0.norm2.bias", "backbone.blocks.0.mlp.layers.0.0.bias", "backbone.blocks.0.mlp.layers.1.bias" ], "lr_scale": 0.03167635202407837, "lr": 3.959544003009796e-06, "weight_decay": 0.0 }, "layer_1_decay": { "param_names": [ "backbone.blocks.0.attn.qkv.weight", "backbone.blocks.0.attn.proj.weight", "backbone.blocks.0.mlp.layers.0.0.weight", "backbone.blocks.0.mlp.layers.1.weight" ], "lr_scale": 0.03167635202407837, "lr": 3.959544003009796e-06, "weight_decay": 0.05 }, "layer_2_no_decay": { "param_names": [ "backbone.blocks.1.norm1.weight", "backbone.blocks.1.norm1.bias", "backbone.blocks.1.attn.q_bias", "backbone.blocks.1.attn.v_bias", "backbone.blocks.1.attn.proj.bias", "backbone.blocks.1.norm2.weight", "backbone.blocks.1.norm2.bias", "backbone.blocks.1.mlp.layers.0.0.bias", "backbone.blocks.1.mlp.layers.1.bias" ], "lr_scale": 0.04223513603210449, "lr": 5.279392004013061e-06, "weight_decay": 0.0 }, "layer_2_decay": { "param_names": [ "backbone.blocks.1.attn.qkv.weight", "backbone.blocks.1.attn.proj.weight", "backbone.blocks.1.mlp.layers.0.0.weight", "backbone.blocks.1.mlp.layers.1.weight" ], "lr_scale": 0.04223513603210449, "lr": 5.279392004013061e-06, "weight_decay": 0.05 }, "layer_3_no_decay": { "param_names": [ "backbone.blocks.2.norm1.weight", "backbone.blocks.2.norm1.bias", "backbone.blocks.2.attn.q_bias", "backbone.blocks.2.attn.v_bias", "backbone.blocks.2.attn.proj.bias", "backbone.blocks.2.norm2.weight", "backbone.blocks.2.norm2.bias", "backbone.blocks.2.mlp.layers.0.0.bias", "backbone.blocks.2.mlp.layers.1.bias" ], "lr_scale": 0.056313514709472656, "lr": 7.039189338684082e-06, "weight_decay": 0.0 }, "layer_3_decay": { "param_names": [ "backbone.blocks.2.attn.qkv.weight", "backbone.blocks.2.attn.proj.weight", "backbone.blocks.2.mlp.layers.0.0.weight", "backbone.blocks.2.mlp.layers.1.weight" ], "lr_scale": 0.056313514709472656, "lr": 7.039189338684082e-06, "weight_decay": 0.05 }, "layer_4_no_decay": { "param_names": [ "backbone.blocks.3.norm1.weight", "backbone.blocks.3.norm1.bias", "backbone.blocks.3.attn.q_bias", "backbone.blocks.3.attn.v_bias", "backbone.blocks.3.attn.proj.bias", "backbone.blocks.3.norm2.weight", "backbone.blocks.3.norm2.bias", "backbone.blocks.3.mlp.layers.0.0.bias", "backbone.blocks.3.mlp.layers.1.bias" ], "lr_scale": 0.07508468627929688, "lr": 9.38558578491211e-06, "weight_decay": 0.0 }, "layer_4_decay": { "param_names": [ "backbone.blocks.3.attn.qkv.weight", "backbone.blocks.3.attn.proj.weight", "backbone.blocks.3.mlp.layers.0.0.weight", "backbone.blocks.3.mlp.layers.1.weight" ], "lr_scale": 0.07508468627929688, "lr": 9.38558578491211e-06, "weight_decay": 0.05 }, "layer_5_no_decay": { "param_names": [ "backbone.blocks.4.norm1.weight", "backbone.blocks.4.norm1.bias", "backbone.blocks.4.attn.q_bias", "backbone.blocks.4.attn.v_bias", "backbone.blocks.4.attn.proj.bias", "backbone.blocks.4.norm2.weight", "backbone.blocks.4.norm2.bias", "backbone.blocks.4.mlp.layers.0.0.bias", "backbone.blocks.4.mlp.layers.1.bias" ], "lr_scale": 0.1001129150390625, "lr": 1.2514114379882812e-05, "weight_decay": 0.0 }, "layer_5_decay": { "param_names": [ "backbone.blocks.4.attn.qkv.weight", "backbone.blocks.4.attn.proj.weight", "backbone.blocks.4.mlp.layers.0.0.weight", "backbone.blocks.4.mlp.layers.1.weight" ], "lr_scale": 0.1001129150390625, "lr": 1.2514114379882812e-05, "weight_decay": 0.05 }, "layer_6_no_decay": { "param_names": [ "backbone.blocks.5.norm1.weight", "backbone.blocks.5.norm1.bias", "backbone.blocks.5.attn.q_bias", "backbone.blocks.5.attn.v_bias", "backbone.blocks.5.attn.proj.bias", "backbone.blocks.5.norm2.weight", "backbone.blocks.5.norm2.bias", "backbone.blocks.5.mlp.layers.0.0.bias", "backbone.blocks.5.mlp.layers.1.bias" ], "lr_scale": 0.13348388671875, "lr": 1.668548583984375e-05, "weight_decay": 0.0 }, "layer_6_decay": { "param_names": [ "backbone.blocks.5.attn.qkv.weight", "backbone.blocks.5.attn.proj.weight", "backbone.blocks.5.mlp.layers.0.0.weight", "backbone.blocks.5.mlp.layers.1.weight" ], "lr_scale": 0.13348388671875, "lr": 1.668548583984375e-05, "weight_decay": 0.05 }, "layer_7_no_decay": { "param_names": [ "backbone.blocks.6.norm1.weight", "backbone.blocks.6.norm1.bias", "backbone.blocks.6.attn.q_bias", "backbone.blocks.6.attn.v_bias", "backbone.blocks.6.attn.proj.bias", "backbone.blocks.6.norm2.weight", "backbone.blocks.6.norm2.bias", "backbone.blocks.6.mlp.layers.0.0.bias", "backbone.blocks.6.mlp.layers.1.bias" ], "lr_scale": 0.177978515625, "lr": 2.2247314453125e-05, "weight_decay": 0.0 }, "layer_7_decay": { "param_names": [ "backbone.blocks.6.attn.qkv.weight", "backbone.blocks.6.attn.proj.weight", "backbone.blocks.6.mlp.layers.0.0.weight", "backbone.blocks.6.mlp.layers.1.weight" ], "lr_scale": 0.177978515625, "lr": 2.2247314453125e-05, "weight_decay": 0.05 }, "layer_8_no_decay": { "param_names": [ "backbone.blocks.7.norm1.weight", "backbone.blocks.7.norm1.bias", "backbone.blocks.7.attn.q_bias", "backbone.blocks.7.attn.v_bias", "backbone.blocks.7.attn.proj.bias", "backbone.blocks.7.norm2.weight", "backbone.blocks.7.norm2.bias", "backbone.blocks.7.mlp.layers.0.0.bias", "backbone.blocks.7.mlp.layers.1.bias" ], "lr_scale": 0.2373046875, "lr": 2.96630859375e-05, "weight_decay": 0.0 }, "layer_8_decay": { "param_names": [ "backbone.blocks.7.attn.qkv.weight", "backbone.blocks.7.attn.proj.weight", "backbone.blocks.7.mlp.layers.0.0.weight", "backbone.blocks.7.mlp.layers.1.weight" ], "lr_scale": 0.2373046875, "lr": 2.96630859375e-05, "weight_decay": 0.05 }, "layer_9_no_decay": { "param_names": [ "backbone.blocks.8.norm1.weight", "backbone.blocks.8.norm1.bias", "backbone.blocks.8.attn.q_bias", "backbone.blocks.8.attn.v_bias", "backbone.blocks.8.attn.proj.bias", "backbone.blocks.8.norm2.weight", "backbone.blocks.8.norm2.bias", "backbone.blocks.8.mlp.layers.0.0.bias", "backbone.blocks.8.mlp.layers.1.bias" ], "lr_scale": 0.31640625, "lr": 3.955078125e-05, "weight_decay": 0.0 }, "layer_9_decay": { "param_names": [ "backbone.blocks.8.attn.qkv.weight", "backbone.blocks.8.attn.proj.weight", "backbone.blocks.8.mlp.layers.0.0.weight", "backbone.blocks.8.mlp.layers.1.weight" ], "lr_scale": 0.31640625, "lr": 3.955078125e-05, "weight_decay": 0.05 }, "layer_10_no_decay": { "param_names": [ "backbone.blocks.9.norm1.weight", "backbone.blocks.9.norm1.bias", "backbone.blocks.9.attn.q_bias", "backbone.blocks.9.attn.v_bias", "backbone.blocks.9.attn.proj.bias", "backbone.blocks.9.norm2.weight", "backbone.blocks.9.norm2.bias", "backbone.blocks.9.mlp.layers.0.0.bias", "backbone.blocks.9.mlp.layers.1.bias" ], "lr_scale": 0.421875, "lr": 5.2734375e-05, "weight_decay": 0.0 }, "layer_10_decay": { "param_names": [ "backbone.blocks.9.attn.qkv.weight", "backbone.blocks.9.attn.proj.weight", "backbone.blocks.9.mlp.layers.0.0.weight", "backbone.blocks.9.mlp.layers.1.weight" ], "lr_scale": 0.421875, "lr": 5.2734375e-05, "weight_decay": 0.05 }, "layer_11_no_decay": { "param_names": [ "backbone.blocks.10.norm1.weight", "backbone.blocks.10.norm1.bias", "backbone.blocks.10.attn.q_bias", "backbone.blocks.10.attn.v_bias", "backbone.blocks.10.attn.proj.bias", "backbone.blocks.10.norm2.weight", "backbone.blocks.10.norm2.bias", "backbone.blocks.10.mlp.layers.0.0.bias", "backbone.blocks.10.mlp.layers.1.bias" ], "lr_scale": 0.5625, "lr": 7.031250000000001e-05, "weight_decay": 0.0 }, "layer_11_decay": { "param_names": [ "backbone.blocks.10.attn.qkv.weight", "backbone.blocks.10.attn.proj.weight", "backbone.blocks.10.mlp.layers.0.0.weight", "backbone.blocks.10.mlp.layers.1.weight" ], "lr_scale": 0.5625, "lr": 7.031250000000001e-05, "weight_decay": 0.05 }, "layer_12_no_decay": { "param_names": [ "backbone.blocks.11.norm1.weight", "backbone.blocks.11.norm1.bias", "backbone.blocks.11.attn.q_bias", "backbone.blocks.11.attn.v_bias", "backbone.blocks.11.attn.proj.bias", "backbone.blocks.11.norm2.weight", "backbone.blocks.11.norm2.bias", "backbone.blocks.11.mlp.layers.0.0.bias", "backbone.blocks.11.mlp.layers.1.bias" ], "lr_scale": 0.75, "lr": 9.375e-05, "weight_decay": 0.0 }, "layer_12_decay": { "param_names": [ "backbone.blocks.11.attn.qkv.weight", "backbone.blocks.11.attn.proj.weight", "backbone.blocks.11.mlp.layers.0.0.weight", "backbone.blocks.11.mlp.layers.1.weight" ], "lr_scale": 0.75, "lr": 9.375e-05, "weight_decay": 0.05 }, "layer_13_no_decay": { "param_names": [ "backbone.norm.weight", "backbone.norm.bias", "roi_head.bbox_head.fc_cls.bias" ], "lr_scale": 1.0, "lr": 0.000125, "weight_decay": 0.0 }, "layer_13_decay": { "param_names": [ "roi_head.bbox_head.fc_cls.weight" ], "lr_scale": 1.0, "lr": 0.000125, "weight_decay": 0.05 } } 2023/03/10 15:15:31 - mmengine - INFO - 50252 out of 50252 frames are valid. 2023/03/10 15:15:34 - mmengine - INFO - load model from: https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth 2023/03/10 15:15:34 - mmengine - INFO - Loads checkpoint by http backend from path: https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth 2023/03/10 15:15:35 - mmengine - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: cls_head.fc_cls.weight, cls_head.fc_cls.bias, backbone.fc_norm.weight, backbone.fc_norm.bias missing keys in source state_dict: backbone.pos_embed, backbone.norm.weight, backbone.norm.bias, roi_head.bbox_head.fc_cls.weight, roi_head.bbox_head.fc_cls.bias Name of parameter - Initialization information backbone.patch_embed.projection.weight - torch.Size([768, 3, 2, 16, 16]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.patch_embed.projection.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.0.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.1.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.2.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.3.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.4.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.5.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.6.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.7.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.8.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.9.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.10.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.norm1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.norm1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.attn.q_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.attn.v_bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.norm2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.norm2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.mlp.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.mlp.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.mlp.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.blocks.11.mlp.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmaction/v1.0/recognition/videomae/vit-base-p16_videomae-k400-pre_16x4x1_kinetics-400_20221013-860a3cd3.pth backbone.norm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of FastRCNN backbone.norm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of FastRCNN roi_head.bbox_head.fc_cls.weight - torch.Size([81, 768]): Initialized by user-defined `init_weights` in BBoxHeadAVA roi_head.bbox_head.fc_cls.bias - torch.Size([81]): Initialized by user-defined `init_weights` in BBoxHeadAVA 2023/03/10 15:15:35 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4. 2023/03/10 15:16:00 - mmengine - INFO - Epoch(train) [1][ 20/4451] lr: 2.9925e-07 eta: 1 day, 5:58:19 time: 1.2124 data_time: 0.7673 memory: 51970 grad_norm: 3.4610 loss: 1.3071 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.0294 recall@top3: 0.0000 prec@top3: 0.0000 recall@top5: 0.0000 prec@top5: 0.0000 loss_action_cls: 1.3071 2023/03/10 15:16:12 - mmengine - INFO - Epoch(train) [1][ 40/4451] lr: 3.0165e-07 eta: 22:18:50 time: 0.5932 data_time: 0.1745 memory: 51970 grad_norm: 3.1688 loss: 1.0515 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.0410 recall@top3: 0.0972 prec@top3: 0.0417 recall@top5: 0.0972 prec@top5: 0.0250 loss_action_cls: 1.0515 2023/03/10 15:16:25 - mmengine - INFO - Epoch(train) [1][ 60/4451] lr: 3.0405e-07 eta: 20:20:37 time: 0.6642 data_time: 0.1330 memory: 51970 grad_norm: 2.9293 loss: 0.7830 recall@thr=0.5: 0.5288 prec@thr=0.5: 0.0553 recall@top3: 0.0227 prec@top3: 0.0152 recall@top5: 0.0530 prec@top5: 0.0273 loss_action_cls: 0.7830 2023/03/10 15:16:40 - mmengine - INFO - Epoch(train) [1][ 80/4451] lr: 3.0645e-07 eta: 19:49:12 time: 0.7392 data_time: 0.0118 memory: 51970 grad_norm: 2.3439 loss: 0.5489 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.0590 recall@top3: 0.1389 prec@top3: 0.1111 recall@top5: 0.2222 prec@top5: 0.0833 loss_action_cls: 0.5489 2023/03/10 15:16:51 - mmengine - INFO - Epoch(train) [1][ 100/4451] lr: 3.0886e-07 eta: 18:39:04 time: 0.5665 data_time: 0.0119 memory: 51970 grad_norm: 1.6362 loss: 0.3726 recall@thr=0.5: 0.1444 prec@thr=0.5: 0.0625 recall@top3: 0.1667 prec@top3: 0.1556 recall@top5: 0.1778 prec@top5: 0.1000 loss_action_cls: 0.3726 2023/03/10 15:17:04 - mmengine - INFO - Epoch(train) [1][ 120/4451] lr: 3.1126e-07 eta: 18:18:48 time: 0.6740 data_time: 0.0108 memory: 51970 grad_norm: 1.1792 loss: 0.2668 recall@thr=0.5: 0.2319 prec@thr=0.5: 0.2080 recall@top3: 0.2138 prec@top3: 0.1739 recall@top5: 0.3514 prec@top5: 0.1478 loss_action_cls: 0.2668 2023/03/10 15:17:16 - mmengine - INFO - Epoch(train) [1][ 140/4451] lr: 3.1366e-07 eta: 17:46:51 time: 0.5918 data_time: 0.0118 memory: 51970 grad_norm: 0.7861 loss: 0.2071 recall@thr=0.5: 0.2812 prec@thr=0.5: 0.3750 recall@top3: 0.4062 prec@top3: 0.2500 recall@top5: 0.5312 prec@top5: 0.1875 loss_action_cls: 0.2071 2023/03/10 15:17:29 - mmengine - INFO - Epoch(train) [1][ 160/4451] lr: 3.1606e-07 eta: 17:30:33 time: 0.6334 data_time: 0.0114 memory: 51970 grad_norm: 0.6150 loss: 0.1750 recall@thr=0.5: 0.0595 prec@thr=0.5: 0.2143 recall@top3: 0.1905 prec@top3: 0.2143 recall@top5: 0.3750 prec@top5: 0.2429 loss_action_cls: 0.1750 2023/03/10 15:17:41 - mmengine - INFO - Epoch(train) [1][ 180/4451] lr: 3.1846e-07 eta: 17:13:15 time: 0.6056 data_time: 0.0113 memory: 51970 grad_norm: 0.5056 loss: 0.1699 recall@thr=0.5: 0.0568 prec@thr=0.5: 0.1296 recall@top3: 0.2611 prec@top3: 0.2593 recall@top5: 0.3475 prec@top5: 0.1926 loss_action_cls: 0.1699 2023/03/10 15:17:55 - mmengine - INFO - Epoch(train) [1][ 200/4451] lr: 3.2087e-07 eta: 17:10:45 time: 0.6826 data_time: 0.0112 memory: 51970 grad_norm: 0.4360 loss: 0.1383 recall@thr=0.5: 0.2157 prec@thr=0.5: 0.2059 recall@top3: 0.4020 prec@top3: 0.2745 recall@top5: 0.4314 prec@top5: 0.1765 loss_action_cls: 0.1383 2023/03/10 15:18:07 - mmengine - INFO - Epoch(train) [1][ 220/4451] lr: 3.2327e-07 eta: 16:58:54 time: 0.6099 data_time: 0.0113 memory: 51970 grad_norm: 0.3834 loss: 0.1574 recall@thr=0.5: 0.1698 prec@thr=0.5: 0.3519 recall@top3: 0.4043 prec@top3: 0.3704 recall@top5: 0.6204 prec@top5: 0.3481 loss_action_cls: 0.1574 2023/03/10 15:18:21 - mmengine - INFO - Epoch(train) [1][ 240/4451] lr: 3.2567e-07 eta: 16:59:27 time: 0.6948 data_time: 0.0123 memory: 51970 grad_norm: 0.3668 loss: 0.1562 recall@thr=0.5: 0.2255 prec@thr=0.5: 0.2941 recall@top3: 0.5000 prec@top3: 0.2941 recall@top5: 0.5392 prec@top5: 0.2000 loss_action_cls: 0.1562 2023/03/10 15:18:33 - mmengine - INFO - Epoch(train) [1][ 260/4451] lr: 3.2807e-07 eta: 16:48:05 time: 0.5911 data_time: 0.0118 memory: 51970 grad_norm: 0.3282 loss: 0.1371 recall@thr=0.5: 0.1562 prec@thr=0.5: 0.3437 recall@top3: 0.4375 prec@top3: 0.3542 recall@top5: 0.6562 prec@top5: 0.3000 loss_action_cls: 0.1371 2023/03/10 15:18:45 - mmengine - INFO - Epoch(train) [1][ 280/4451] lr: 3.3047e-07 eta: 16:43:41 time: 0.6419 data_time: 0.0111 memory: 51970 grad_norm: 0.3096 loss: 0.1380 recall@thr=0.5: 0.1042 prec@thr=0.5: 0.3125 recall@top3: 0.4167 prec@top3: 0.2917 recall@top5: 0.7188 prec@top5: 0.3125 loss_action_cls: 0.1380 2023/03/10 15:18:57 - mmengine - INFO - Epoch(train) [1][ 300/4451] lr: 3.3288e-07 eta: 16:35:07 time: 0.5941 data_time: 0.0109 memory: 51970 grad_norm: 0.2746 loss: 0.1264 recall@thr=0.5: 0.2778 prec@thr=0.5: 0.5000 recall@top3: 0.6431 prec@top3: 0.5417 recall@top5: 0.7271 prec@top5: 0.3917 loss_action_cls: 0.1264 2023/03/10 15:19:11 - mmengine - INFO - Epoch(train) [1][ 320/4451] lr: 3.3528e-07 eta: 16:37:52 time: 0.7052 data_time: 0.0104 memory: 51970 grad_norm: 0.2678 loss: 0.1347 recall@thr=0.5: 0.1042 prec@thr=0.5: 0.2250 recall@top3: 0.5000 prec@top3: 0.3333 recall@top5: 0.6167 prec@top5: 0.2500 loss_action_cls: 0.1347 2023/03/10 15:19:25 - mmengine - INFO - Epoch(train) [1][ 340/4451] lr: 3.3768e-07 eta: 16:36:05 time: 0.6569 data_time: 0.0120 memory: 51970 grad_norm: 0.2569 loss: 0.1177 recall@thr=0.5: 0.2000 prec@thr=0.5: 0.4697 recall@top3: 0.3152 prec@top3: 0.3182 recall@top5: 0.6212 prec@top5: 0.3545 loss_action_cls: 0.1177 2023/03/10 15:19:38 - mmengine - INFO - Epoch(train) [1][ 360/4451] lr: 3.4008e-07 eta: 16:35:17 time: 0.6671 data_time: 0.0105 memory: 51970 grad_norm: 0.2668 loss: 0.1398 recall@thr=0.5: 0.1250 prec@thr=0.5: 0.1250 recall@top3: 0.3500 prec@top3: 0.3750 recall@top5: 0.5688 prec@top5: 0.3750 loss_action_cls: 0.1398 2023/03/10 15:19:50 - mmengine - INFO - Epoch(train) [1][ 380/4451] lr: 3.4248e-07 eta: 16:29:40 time: 0.6041 data_time: 0.0145 memory: 51970 grad_norm: 0.2469 loss: 0.1385 recall@thr=0.5: 0.0972 prec@thr=0.5: 0.2500 recall@top3: 0.3194 prec@top3: 0.3148 recall@top5: 0.5324 prec@top5: 0.3000 loss_action_cls: 0.1385 2023/03/10 15:20:04 - mmengine - INFO - Epoch(train) [1][ 400/4451] lr: 3.4489e-07 eta: 16:29:47 time: 0.6746 data_time: 0.0113 memory: 51970 grad_norm: 0.2308 loss: 0.1276 recall@thr=0.5: 0.1478 prec@thr=0.5: 0.2957 recall@top3: 0.4839 prec@top3: 0.4624 recall@top5: 0.8333 prec@top5: 0.4774 loss_action_cls: 0.1276 2023/03/10 15:20:15 - mmengine - INFO - Epoch(train) [1][ 420/4451] lr: 3.4729e-07 eta: 16:23:13 time: 0.5799 data_time: 0.0122 memory: 51970 grad_norm: 0.2391 loss: 0.1088 recall@thr=0.5: 0.1667 prec@thr=0.5: 0.2333 recall@top3: 0.5083 prec@top3: 0.4333 recall@top5: 0.7167 prec@top5: 0.3800 loss_action_cls: 0.1088 2023/03/10 15:20:29 - mmengine - INFO - Epoch(train) [1][ 440/4451] lr: 3.4969e-07 eta: 16:23:48 time: 0.6777 data_time: 0.0120 memory: 51970 grad_norm: 0.2056 loss: 0.1411 recall@thr=0.5: 0.1970 prec@thr=0.5: 0.3182 recall@top3: 0.6944 prec@top3: 0.4545 recall@top5: 0.7803 prec@top5: 0.3152 loss_action_cls: 0.1411 2023/03/10 15:20:41 - mmengine - INFO - Epoch(train) [1][ 460/4451] lr: 3.5209e-07 eta: 16:21:40 time: 0.6366 data_time: 0.0121 memory: 51970 grad_norm: 0.2145 loss: 0.1325 recall@thr=0.5: 0.2962 prec@thr=0.5: 0.5705 recall@top3: 0.6259 prec@top3: 0.5128 recall@top5: 0.7683 prec@top5: 0.4000 loss_action_cls: 0.1325 2023/03/10 15:20:55 - mmengine - INFO - Epoch(train) [1][ 480/4451] lr: 3.5449e-07 eta: 16:23:46 time: 0.7028 data_time: 0.0127 memory: 51970 grad_norm: 0.2208 loss: 0.1151 recall@thr=0.5: 0.1058 prec@thr=0.5: 0.1250 recall@top3: 0.1603 prec@top3: 0.1538 recall@top5: 0.2212 prec@top5: 0.1308 loss_action_cls: 0.1151 2023/03/10 15:21:07 - mmengine - INFO - Epoch(train) [1][ 500/4451] lr: 3.5690e-07 eta: 16:17:57 time: 0.5720 data_time: 0.0122 memory: 51970 grad_norm: 0.2115 loss: 0.1215 recall@thr=0.5: 0.4625 prec@thr=0.5: 0.6983 recall@top3: 0.5917 prec@top3: 0.5167 recall@top5: 0.7833 prec@top5: 0.4100 loss_action_cls: 0.1215 2023/03/10 15:21:21 - mmengine - INFO - Epoch(train) [1][ 520/4451] lr: 3.5930e-07 eta: 16:21:34 time: 0.7305 data_time: 0.0119 memory: 51970 grad_norm: 0.1992 loss: 0.1133 recall@thr=0.5: 0.3246 prec@thr=0.5: 0.5000 recall@top3: 0.5789 prec@top3: 0.4912 recall@top5: 0.6842 prec@top5: 0.3579 loss_action_cls: 0.1133 2023/03/10 15:21:31 - mmengine - INFO - Epoch(train) [1][ 540/4451] lr: 3.6170e-07 eta: 16:11:53 time: 0.4923 data_time: 0.0115 memory: 51970 grad_norm: 0.2051 loss: 0.1240 recall@thr=0.5: 0.2596 prec@thr=0.5: 0.3974 recall@top3: 0.6186 prec@top3: 0.5256 recall@top5: 0.8013 prec@top5: 0.4154 loss_action_cls: 0.1240 2023/03/10 15:21:46 - mmengine - INFO - Epoch(train) [1][ 560/4451] lr: 3.6410e-07 eta: 16:15:17 time: 0.7277 data_time: 0.0124 memory: 51970 grad_norm: 0.2517 loss: 0.1188 recall@thr=0.5: 0.1404 prec@thr=0.5: 0.1754 recall@top3: 0.3772 prec@top3: 0.2807 recall@top5: 0.4386 prec@top5: 0.2000 loss_action_cls: 0.1188 2023/03/10 15:21:58 - mmengine - INFO - Epoch(train) [1][ 580/4451] lr: 3.6650e-07 eta: 16:11:52 time: 0.5988 data_time: 0.0164 memory: 51970 grad_norm: 0.1927 loss: 0.1170 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4118 recall@top3: 0.6373 prec@top3: 0.3922 recall@top5: 0.7451 prec@top5: 0.2824 loss_action_cls: 0.1170 2023/03/10 15:22:12 - mmengine - INFO - Epoch(train) [1][ 600/4451] lr: 3.6891e-07 eta: 16:14:16 time: 0.7127 data_time: 0.0128 memory: 51970 grad_norm: 0.1965 loss: 0.1285 recall@thr=0.5: 0.1094 prec@thr=0.5: 0.2500 recall@top3: 0.7760 prec@top3: 0.5833 recall@top5: 0.9844 prec@top5: 0.4500 loss_action_cls: 0.1285 2023/03/10 15:22:24 - mmengine - INFO - Epoch(train) [1][ 620/4451] lr: 3.7131e-07 eta: 16:10:39 time: 0.5897 data_time: 0.0127 memory: 51970 grad_norm: 0.2001 loss: 0.1141 recall@thr=0.5: 0.1623 prec@thr=0.5: 0.3684 recall@top3: 0.5132 prec@top3: 0.4737 recall@top5: 0.7281 prec@top5: 0.4105 loss_action_cls: 0.1141 2023/03/10 15:22:38 - mmengine - INFO - Epoch(train) [1][ 640/4451] lr: 3.7371e-07 eta: 16:11:31 time: 0.6822 data_time: 0.0123 memory: 51970 grad_norm: 0.1830 loss: 0.1271 recall@thr=0.5: 0.0526 prec@thr=0.5: 0.1053 recall@top3: 0.2193 prec@top3: 0.1930 recall@top5: 0.5175 prec@top5: 0.2526 loss_action_cls: 0.1271 2023/03/10 15:22:50 - mmengine - INFO - Epoch(train) [1][ 660/4451] lr: 3.7611e-07 eta: 16:10:31 time: 0.6422 data_time: 0.0121 memory: 51970 grad_norm: 0.1786 loss: 0.1088 recall@thr=0.5: 0.2353 prec@thr=0.5: 0.3333 recall@top3: 0.3382 prec@top3: 0.2745 recall@top5: 0.6471 prec@top5: 0.2941 loss_action_cls: 0.1088 2023/03/10 15:23:06 - mmengine - INFO - Epoch(train) [1][ 680/4451] lr: 3.7851e-07 eta: 16:14:27 time: 0.7551 data_time: 0.0130 memory: 51970 grad_norm: 0.1850 loss: 0.1035 recall@thr=0.5: 0.2341 prec@thr=0.5: 0.3175 recall@top3: 0.3651 prec@top3: 0.3492 recall@top5: 0.5952 prec@top5: 0.3048 loss_action_cls: 0.1035 2023/03/10 15:23:17 - mmengine - INFO - Epoch(train) [1][ 700/4451] lr: 3.8092e-07 eta: 16:11:30 time: 0.5969 data_time: 0.0119 memory: 51970 grad_norm: 0.1816 loss: 0.1140 recall@thr=0.5: 0.3480 prec@thr=0.5: 0.4804 recall@top3: 0.4951 prec@top3: 0.5098 recall@top5: 0.6667 prec@top5: 0.4118 loss_action_cls: 0.1140 2023/03/10 15:23:32 - mmengine - INFO - Epoch(train) [1][ 720/4451] lr: 3.8332e-07 eta: 16:14:28 time: 0.7377 data_time: 0.0125 memory: 51970 grad_norm: 0.1843 loss: 0.1142 recall@thr=0.5: 0.0000 prec@thr=0.5: 0.0000 recall@top3: 0.1562 prec@top3: 0.1042 recall@top5: 0.2812 prec@top5: 0.1125 loss_action_cls: 0.1142 2023/03/10 15:23:45 - mmengine - INFO - Epoch(train) [1][ 740/4451] lr: 3.8572e-07 eta: 16:13:15 time: 0.6372 data_time: 0.0124 memory: 51970 grad_norm: 0.1880 loss: 0.1329 recall@thr=0.5: 0.3492 prec@thr=0.5: 0.3889 recall@top3: 0.5429 prec@top3: 0.4444 recall@top5: 0.7508 prec@top5: 0.3905 loss_action_cls: 0.1329 2023/03/10 15:24:01 - mmengine - INFO - Epoch(train) [1][ 760/4451] lr: 3.8812e-07 eta: 16:18:23 time: 0.7998 data_time: 0.0132 memory: 51970 grad_norm: 0.1949 loss: 0.1280 recall@thr=0.5: 0.2762 prec@thr=0.5: 0.5397 recall@top3: 0.4587 prec@top3: 0.4127 recall@top5: 0.7317 prec@top5: 0.3810 loss_action_cls: 0.1280 2023/03/10 15:24:14 - mmengine - INFO - Epoch(train) [1][ 780/4451] lr: 3.9052e-07 eta: 16:18:04 time: 0.6624 data_time: 0.0118 memory: 51970 grad_norm: 0.1736 loss: 0.1175 recall@thr=0.5: 0.2222 prec@thr=0.5: 0.4667 recall@top3: 0.4222 prec@top3: 0.4222 recall@top5: 0.7222 prec@top5: 0.3600 loss_action_cls: 0.1175 2023/03/10 15:24:30 - mmengine - INFO - Epoch(train) [1][ 800/4451] lr: 3.9293e-07 eta: 16:23:21 time: 0.8150 data_time: 0.0129 memory: 51970 grad_norm: 0.1775 loss: 0.1151 recall@thr=0.5: 0.2812 prec@thr=0.5: 0.3281 recall@top3: 0.5469 prec@top3: 0.4167 recall@top5: 0.7031 prec@top5: 0.3250 loss_action_cls: 0.1151 2023/03/10 15:24:43 - mmengine - INFO - Epoch(train) [1][ 820/4451] lr: 3.9533e-07 eta: 16:21:25 time: 0.6211 data_time: 0.0120 memory: 51970 grad_norm: 0.1806 loss: 0.1112 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5778 recall@top3: 0.6722 prec@top3: 0.5222 recall@top5: 0.8444 prec@top5: 0.3800 loss_action_cls: 0.1112 2023/03/10 15:24:58 - mmengine - INFO - Epoch(train) [1][ 840/4451] lr: 3.9773e-07 eta: 16:23:31 time: 0.7338 data_time: 0.0118 memory: 51970 grad_norm: 0.1716 loss: 0.1119 recall@thr=0.5: 0.4956 prec@thr=0.5: 0.4570 recall@top3: 0.7237 prec@top3: 0.6140 recall@top5: 0.9298 prec@top5: 0.5053 loss_action_cls: 0.1119 2023/03/10 15:25:09 - mmengine - INFO - Epoch(train) [1][ 860/4451] lr: 4.0013e-07 eta: 16:20:10 time: 0.5781 data_time: 0.0116 memory: 51970 grad_norm: 0.1669 loss: 0.1068 recall@thr=0.5: 0.3444 prec@thr=0.5: 0.5444 recall@top3: 0.6000 prec@top3: 0.4444 recall@top5: 0.9222 prec@top5: 0.4133 loss_action_cls: 0.1068 2023/03/10 15:25:23 - mmengine - INFO - Epoch(train) [1][ 880/4451] lr: 4.0253e-07 eta: 16:21:12 time: 0.7044 data_time: 0.0121 memory: 51970 grad_norm: 0.1769 loss: 0.1198 recall@thr=0.5: 0.2273 prec@thr=0.5: 0.4129 recall@top3: 0.4659 prec@top3: 0.5152 recall@top5: 0.7765 prec@top5: 0.4727 loss_action_cls: 0.1198 2023/03/10 15:25:35 - mmengine - INFO - Epoch(train) [1][ 900/4451] lr: 4.0494e-07 eta: 16:17:47 time: 0.5703 data_time: 0.0136 memory: 51970 grad_norm: 0.1870 loss: 0.1205 recall@thr=0.5: 0.2544 prec@thr=0.5: 0.3333 recall@top3: 0.6491 prec@top3: 0.3509 recall@top5: 0.8421 prec@top5: 0.2737 loss_action_cls: 0.1205 2023/03/10 15:25:48 - mmengine - INFO - Epoch(train) [1][ 920/4451] lr: 4.0734e-07 eta: 16:17:53 time: 0.6757 data_time: 0.0123 memory: 51970 grad_norm: 0.1760 loss: 0.1248 recall@thr=0.5: 0.1667 prec@thr=0.5: 0.2133 recall@top3: 0.5000 prec@top3: 0.2933 recall@top5: 0.7000 prec@top5: 0.2400 loss_action_cls: 0.1248 2023/03/10 15:26:00 - mmengine - INFO - Epoch(train) [1][ 940/4451] lr: 4.0974e-07 eta: 16:15:57 time: 0.6114 data_time: 0.0124 memory: 51970 grad_norm: 0.1800 loss: 0.1334 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.6204 recall@top3: 0.5602 prec@top3: 0.5370 recall@top5: 0.8148 prec@top5: 0.4667 loss_action_cls: 0.1334 2023/03/10 15:26:13 - mmengine - INFO - Epoch(train) [1][ 960/4451] lr: 4.1214e-07 eta: 16:14:17 time: 0.6174 data_time: 0.0122 memory: 51970 grad_norm: 0.1761 loss: 0.1129 recall@thr=0.5: 0.3646 prec@thr=0.5: 0.5417 recall@top3: 0.6146 prec@top3: 0.5139 recall@top5: 0.8611 prec@top5: 0.4167 loss_action_cls: 0.1129 2023/03/10 15:26:25 - mmengine - INFO - Epoch(train) [1][ 980/4451] lr: 4.1454e-07 eta: 16:12:37 time: 0.6158 data_time: 0.0127 memory: 51970 grad_norm: 0.1741 loss: 0.1024 recall@thr=0.5: 0.3094 prec@thr=0.5: 0.3568 recall@top3: 0.6500 prec@top3: 0.5104 recall@top5: 0.7354 prec@top5: 0.3687 loss_action_cls: 0.1024 2023/03/10 15:26:38 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 15:26:38 - mmengine - INFO - Epoch(train) [1][1000/4451] lr: 4.1695e-07 eta: 16:12:04 time: 0.6516 data_time: 0.0128 memory: 51970 grad_norm: 0.1767 loss: 0.1067 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.5526 recall@top3: 0.7193 prec@top3: 0.4737 recall@top5: 0.8070 prec@top5: 0.3474 loss_action_cls: 0.1067 2023/03/10 15:26:51 - mmengine - INFO - Epoch(train) [1][1020/4451] lr: 4.1935e-07 eta: 16:10:39 time: 0.6207 data_time: 0.0128 memory: 51970 grad_norm: 0.1753 loss: 0.1219 recall@thr=0.5: 0.2083 prec@thr=0.5: 0.2083 recall@top3: 0.5938 prec@top3: 0.4167 recall@top5: 0.7448 prec@top5: 0.3500 loss_action_cls: 0.1219 2023/03/10 15:27:04 - mmengine - INFO - Epoch(train) [1][1040/4451] lr: 4.2175e-07 eta: 16:10:50 time: 0.6761 data_time: 0.0225 memory: 51970 grad_norm: 0.1815 loss: 0.1098 recall@thr=0.5: 0.3788 prec@thr=0.5: 0.3985 recall@top3: 0.5152 prec@top3: 0.4545 recall@top5: 0.6212 prec@top5: 0.3273 loss_action_cls: 0.1098 2023/03/10 15:27:17 - mmengine - INFO - Epoch(train) [1][1060/4451] lr: 4.2415e-07 eta: 16:09:44 time: 0.6306 data_time: 0.0127 memory: 51970 grad_norm: 0.1649 loss: 0.1310 recall@thr=0.5: 0.0000 prec@thr=0.5: 0.0000 recall@top3: 0.2556 prec@top3: 0.2444 recall@top5: 0.3667 prec@top5: 0.2133 loss_action_cls: 0.1310 2023/03/10 15:27:30 - mmengine - INFO - Epoch(train) [1][1080/4451] lr: 4.2655e-07 eta: 16:10:21 time: 0.6924 data_time: 0.0126 memory: 51970 grad_norm: 0.1747 loss: 0.1108 recall@thr=0.5: 0.5400 prec@thr=0.5: 0.5700 recall@top3: 0.6000 prec@top3: 0.5333 recall@top5: 0.7267 prec@top5: 0.4000 loss_action_cls: 0.1108 2023/03/10 15:27:43 - mmengine - INFO - Epoch(train) [1][1100/4451] lr: 4.2896e-07 eta: 16:09:14 time: 0.6282 data_time: 0.0144 memory: 51970 grad_norm: 0.1693 loss: 0.1163 recall@thr=0.5: 0.0441 prec@thr=0.5: 0.1765 recall@top3: 0.3794 prec@top3: 0.3333 recall@top5: 0.6657 prec@top5: 0.3765 loss_action_cls: 0.1163 2023/03/10 15:27:56 - mmengine - INFO - Epoch(train) [1][1120/4451] lr: 4.3136e-07 eta: 16:08:38 time: 0.6469 data_time: 0.0137 memory: 51970 grad_norm: 0.1678 loss: 0.1195 recall@thr=0.5: 0.3606 prec@thr=0.5: 0.4432 recall@top3: 0.6977 prec@top3: 0.4621 recall@top5: 0.8341 prec@top5: 0.3273 loss_action_cls: 0.1195 2023/03/10 15:28:08 - mmengine - INFO - Epoch(train) [1][1140/4451] lr: 4.3376e-07 eta: 16:07:06 time: 0.6101 data_time: 0.0122 memory: 51970 grad_norm: 0.1717 loss: 0.1105 recall@thr=0.5: 0.3406 prec@thr=0.5: 0.6594 recall@top3: 0.5000 prec@top3: 0.4058 recall@top5: 0.7355 prec@top5: 0.3739 loss_action_cls: 0.1105 2023/03/10 15:28:20 - mmengine - INFO - Epoch(train) [1][1160/4451] lr: 4.3616e-07 eta: 16:05:26 time: 0.6031 data_time: 0.0144 memory: 51970 grad_norm: 0.1684 loss: 0.1127 recall@thr=0.5: 0.1444 prec@thr=0.5: 0.1633 recall@top3: 0.5444 prec@top3: 0.3556 recall@top5: 0.6444 prec@top5: 0.2400 loss_action_cls: 0.1127 2023/03/10 15:28:33 - mmengine - INFO - Epoch(train) [1][1180/4451] lr: 4.3856e-07 eta: 16:04:13 time: 0.6193 data_time: 0.0114 memory: 51970 grad_norm: 0.1723 loss: 0.1063 recall@thr=0.5: 0.2604 prec@thr=0.5: 0.3177 recall@top3: 0.5990 prec@top3: 0.4792 recall@top5: 0.7500 prec@top5: 0.3875 loss_action_cls: 0.1063 2023/03/10 15:28:48 - mmengine - INFO - Epoch(train) [1][1200/4451] lr: 4.4096e-07 eta: 16:06:15 time: 0.7507 data_time: 0.0127 memory: 51970 grad_norm: 0.1553 loss: 0.1068 recall@thr=0.5: 0.2255 prec@thr=0.5: 0.2353 recall@top3: 0.4951 prec@top3: 0.3725 recall@top5: 0.7157 prec@top5: 0.3176 loss_action_cls: 0.1068 2023/03/10 15:29:00 - mmengine - INFO - Epoch(train) [1][1220/4451] lr: 4.4337e-07 eta: 16:04:37 time: 0.6012 data_time: 0.0134 memory: 51970 grad_norm: 0.1772 loss: 0.0997 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.6250 recall@top3: 0.7222 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4778 loss_action_cls: 0.0997 2023/03/10 15:29:13 - mmengine - INFO - Epoch(train) [1][1240/4451] lr: 4.4577e-07 eta: 16:04:40 time: 0.6711 data_time: 0.0117 memory: 51970 grad_norm: 0.1639 loss: 0.1169 recall@thr=0.5: 0.3690 prec@thr=0.5: 0.6071 recall@top3: 0.7738 prec@top3: 0.5714 recall@top5: 0.8333 prec@top5: 0.3714 loss_action_cls: 0.1169 2023/03/10 15:29:27 - mmengine - INFO - Epoch(train) [1][1260/4451] lr: 4.4817e-07 eta: 16:04:59 time: 0.6820 data_time: 0.0138 memory: 51970 grad_norm: 0.1720 loss: 0.1143 recall@thr=0.5: 0.3576 prec@thr=0.5: 0.4773 recall@top3: 0.7091 prec@top3: 0.4848 recall@top5: 0.8470 prec@top5: 0.3727 loss_action_cls: 0.1143 2023/03/10 15:29:41 - mmengine - INFO - Epoch(train) [1][1280/4451] lr: 4.5057e-07 eta: 16:06:11 time: 0.7223 data_time: 0.0112 memory: 51970 grad_norm: 0.1759 loss: 0.0978 recall@thr=0.5: 0.1587 prec@thr=0.5: 0.4286 recall@top3: 0.4603 prec@top3: 0.3968 recall@top5: 0.8095 prec@top5: 0.4190 loss_action_cls: 0.0978 2023/03/10 15:29:53 - mmengine - INFO - Epoch(train) [1][1300/4451] lr: 4.5297e-07 eta: 16:04:56 time: 0.6150 data_time: 0.0132 memory: 51970 grad_norm: 0.1726 loss: 0.1011 recall@thr=0.5: 0.3083 prec@thr=0.5: 0.4750 recall@top3: 0.6125 prec@top3: 0.5000 recall@top5: 0.7750 prec@top5: 0.4000 loss_action_cls: 0.1011 2023/03/10 15:30:08 - mmengine - INFO - Epoch(train) [1][1320/4451] lr: 4.5538e-07 eta: 16:05:42 time: 0.7042 data_time: 0.0129 memory: 51970 grad_norm: 0.1674 loss: 0.1049 recall@thr=0.5: 0.2857 prec@thr=0.5: 0.4286 recall@top3: 0.6964 prec@top3: 0.4286 recall@top5: 0.7143 prec@top5: 0.2714 loss_action_cls: 0.1049 2023/03/10 15:30:20 - mmengine - INFO - Epoch(train) [1][1340/4451] lr: 4.5778e-07 eta: 16:04:43 time: 0.6259 data_time: 0.0134 memory: 51970 grad_norm: 0.1759 loss: 0.1171 recall@thr=0.5: 0.3900 prec@thr=0.5: 0.7200 recall@top3: 0.6533 prec@top3: 0.6133 recall@top5: 0.8300 prec@top5: 0.4640 loss_action_cls: 0.1171 2023/03/10 15:30:33 - mmengine - INFO - Epoch(train) [1][1360/4451] lr: 4.6018e-07 eta: 16:03:56 time: 0.6340 data_time: 0.0118 memory: 51970 grad_norm: 0.1740 loss: 0.1158 recall@thr=0.5: 0.1852 prec@thr=0.5: 0.2654 recall@top3: 0.5000 prec@top3: 0.3333 recall@top5: 0.7099 prec@top5: 0.2741 loss_action_cls: 0.1158 2023/03/10 15:30:44 - mmengine - INFO - Epoch(train) [1][1380/4451] lr: 4.6258e-07 eta: 16:01:31 time: 0.5556 data_time: 0.0118 memory: 51970 grad_norm: 0.1721 loss: 0.1042 recall@thr=0.5: 0.2444 prec@thr=0.5: 0.3889 recall@top3: 0.5259 prec@top3: 0.3889 recall@top5: 0.7759 prec@top5: 0.3111 loss_action_cls: 0.1042 2023/03/10 15:30:58 - mmengine - INFO - Epoch(train) [1][1400/4451] lr: 4.6498e-07 eta: 16:02:09 time: 0.6996 data_time: 0.0132 memory: 51970 grad_norm: 0.1613 loss: 0.1068 recall@thr=0.5: 0.1920 prec@thr=0.5: 0.3043 recall@top3: 0.6304 prec@top3: 0.4928 recall@top5: 0.8406 prec@top5: 0.4000 loss_action_cls: 0.1068 2023/03/10 15:31:10 - mmengine - INFO - Epoch(train) [1][1420/4451] lr: 4.6739e-07 eta: 16:00:29 time: 0.5880 data_time: 0.0120 memory: 51970 grad_norm: 0.1570 loss: 0.1068 recall@thr=0.5: 0.2542 prec@thr=0.5: 0.4250 recall@top3: 0.6083 prec@top3: 0.4000 recall@top5: 0.7333 prec@top5: 0.3100 loss_action_cls: 0.1068 2023/03/10 15:31:24 - mmengine - INFO - Epoch(train) [1][1440/4451] lr: 4.6979e-07 eta: 16:01:05 time: 0.6981 data_time: 0.0126 memory: 51970 grad_norm: 0.1701 loss: 0.1088 recall@thr=0.5: 0.2812 prec@thr=0.5: 0.3333 recall@top3: 0.5278 prec@top3: 0.4583 recall@top5: 0.7604 prec@top5: 0.4000 loss_action_cls: 0.1088 2023/03/10 15:31:34 - mmengine - INFO - Epoch(train) [1][1460/4451] lr: 4.7219e-07 eta: 15:58:11 time: 0.5250 data_time: 0.0123 memory: 51970 grad_norm: 0.1636 loss: 0.1175 recall@thr=0.5: 0.1583 prec@thr=0.5: 0.3182 recall@top3: 0.4833 prec@top3: 0.4091 recall@top5: 0.6523 prec@top5: 0.3455 loss_action_cls: 0.1175 2023/03/10 15:31:47 - mmengine - INFO - Epoch(train) [1][1480/4451] lr: 4.7459e-07 eta: 15:57:49 time: 0.6489 data_time: 0.0140 memory: 51970 grad_norm: 0.1647 loss: 0.1059 recall@thr=0.5: 0.2917 prec@thr=0.5: 0.5000 recall@top3: 0.6354 prec@top3: 0.3750 recall@top5: 0.7083 prec@top5: 0.2750 loss_action_cls: 0.1059 2023/03/10 15:32:00 - mmengine - INFO - Epoch(train) [1][1500/4451] lr: 4.7699e-07 eta: 15:57:20 time: 0.6426 data_time: 0.0144 memory: 51970 grad_norm: 0.1590 loss: 0.1033 recall@thr=0.5: 0.2870 prec@thr=0.5: 0.3889 recall@top3: 0.5926 prec@top3: 0.3148 recall@top5: 0.7407 prec@top5: 0.2556 loss_action_cls: 0.1033 2023/03/10 15:32:14 - mmengine - INFO - Epoch(train) [1][1520/4451] lr: 4.7940e-07 eta: 15:57:58 time: 0.7011 data_time: 0.0116 memory: 51970 grad_norm: 0.1642 loss: 0.1052 recall@thr=0.5: 0.2540 prec@thr=0.5: 0.3889 recall@top3: 0.6032 prec@top3: 0.5079 recall@top5: 0.7778 prec@top5: 0.4095 loss_action_cls: 0.1052 2023/03/10 15:32:26 - mmengine - INFO - Epoch(train) [1][1540/4451] lr: 4.8180e-07 eta: 15:56:49 time: 0.6079 data_time: 0.0120 memory: 51970 grad_norm: 0.1627 loss: 0.1123 recall@thr=0.5: 0.4964 prec@thr=0.5: 0.5179 recall@top3: 0.5857 prec@top3: 0.4286 recall@top5: 0.8905 prec@top5: 0.3786 loss_action_cls: 0.1123 2023/03/10 15:32:39 - mmengine - INFO - Epoch(train) [1][1560/4451] lr: 4.8420e-07 eta: 15:56:17 time: 0.6393 data_time: 0.0122 memory: 51970 grad_norm: 0.1611 loss: 0.1131 recall@thr=0.5: 0.2778 prec@thr=0.5: 0.5000 recall@top3: 0.7222 prec@top3: 0.5873 recall@top5: 0.8730 prec@top5: 0.4286 loss_action_cls: 0.1131 2023/03/10 15:32:51 - mmengine - INFO - Epoch(train) [1][1580/4451] lr: 4.8660e-07 eta: 15:54:43 time: 0.5825 data_time: 0.0146 memory: 51970 grad_norm: 0.1660 loss: 0.1056 recall@thr=0.5: 0.2895 prec@thr=0.5: 0.4737 recall@top3: 0.5175 prec@top3: 0.3333 recall@top5: 0.5877 prec@top5: 0.2316 loss_action_cls: 0.1056 2023/03/10 15:33:04 - mmengine - INFO - Epoch(train) [1][1600/4451] lr: 4.8900e-07 eta: 15:55:11 time: 0.6930 data_time: 0.0118 memory: 51970 grad_norm: 0.1678 loss: 0.0992 recall@thr=0.5: 0.0972 prec@thr=0.5: 0.1667 recall@top3: 0.4722 prec@top3: 0.3333 recall@top5: 0.7361 prec@top5: 0.3000 loss_action_cls: 0.0992 2023/03/10 15:33:16 - mmengine - INFO - Epoch(train) [1][1620/4451] lr: 4.9141e-07 eta: 15:53:49 time: 0.5921 data_time: 0.0132 memory: 51970 grad_norm: 0.1611 loss: 0.1122 recall@thr=0.5: 0.2604 prec@thr=0.5: 0.4479 recall@top3: 0.4115 prec@top3: 0.4167 recall@top5: 0.6927 prec@top5: 0.3750 loss_action_cls: 0.1122 2023/03/10 15:33:29 - mmengine - INFO - Epoch(train) [1][1640/4451] lr: 4.9381e-07 eta: 15:53:41 time: 0.6597 data_time: 0.0142 memory: 51970 grad_norm: 0.1568 loss: 0.1110 recall@thr=0.5: 0.4290 prec@thr=0.5: 0.6265 recall@top3: 0.6605 prec@top3: 0.6049 recall@top5: 0.7346 prec@top5: 0.4074 loss_action_cls: 0.1110 2023/03/10 15:33:41 - mmengine - INFO - Epoch(train) [1][1660/4451] lr: 4.9621e-07 eta: 15:52:16 time: 0.5865 data_time: 0.0120 memory: 51970 grad_norm: 0.1555 loss: 0.1089 recall@thr=0.5: 0.4667 prec@thr=0.5: 0.5889 recall@top3: 0.8333 prec@top3: 0.5333 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.1089 2023/03/10 15:33:55 - mmengine - INFO - Epoch(train) [1][1680/4451] lr: 4.9861e-07 eta: 15:52:34 time: 0.6837 data_time: 0.0144 memory: 51970 grad_norm: 0.1676 loss: 0.0839 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.6667 recall@top3: 0.5625 prec@top3: 0.5417 recall@top5: 0.7917 prec@top5: 0.4625 loss_action_cls: 0.0839 2023/03/10 15:34:06 - mmengine - INFO - Epoch(train) [1][1700/4451] lr: 5.0101e-07 eta: 15:50:54 time: 0.5692 data_time: 0.0125 memory: 51970 grad_norm: 0.1521 loss: 0.1150 recall@thr=0.5: 0.3694 prec@thr=0.5: 0.5944 recall@top3: 0.6639 prec@top3: 0.5000 recall@top5: 0.8389 prec@top5: 0.3867 loss_action_cls: 0.1150 2023/03/10 15:34:20 - mmengine - INFO - Epoch(train) [1][1720/4451] lr: 5.0342e-07 eta: 15:51:02 time: 0.6745 data_time: 0.0138 memory: 51970 grad_norm: 0.1685 loss: 0.1104 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.5729 recall@top3: 0.8750 prec@top3: 0.6250 recall@top5: 0.9271 prec@top5: 0.4125 loss_action_cls: 0.1104 2023/03/10 15:34:32 - mmengine - INFO - Epoch(train) [1][1740/4451] lr: 5.0582e-07 eta: 15:50:11 time: 0.6157 data_time: 0.0122 memory: 51970 grad_norm: 0.1705 loss: 0.1039 recall@thr=0.5: 0.5868 prec@thr=0.5: 0.7083 recall@top3: 0.8125 prec@top3: 0.6944 recall@top5: 0.8993 prec@top5: 0.4583 loss_action_cls: 0.1039 2023/03/10 15:34:45 - mmengine - INFO - Epoch(train) [1][1760/4451] lr: 5.0822e-07 eta: 15:49:54 time: 0.6498 data_time: 0.0124 memory: 51970 grad_norm: 0.1644 loss: 0.1047 recall@thr=0.5: 0.2778 prec@thr=0.5: 0.3889 recall@top3: 0.5741 prec@top3: 0.4444 recall@top5: 0.6481 prec@top5: 0.3111 loss_action_cls: 0.1047 2023/03/10 15:34:57 - mmengine - INFO - Epoch(train) [1][1780/4451] lr: 5.1062e-07 eta: 15:48:46 time: 0.5967 data_time: 0.0131 memory: 51970 grad_norm: 0.1604 loss: 0.1108 recall@thr=0.5: 0.6194 prec@thr=0.5: 0.7528 recall@top3: 0.7417 prec@top3: 0.7222 recall@top5: 0.8444 prec@top5: 0.5067 loss_action_cls: 0.1108 2023/03/10 15:35:10 - mmengine - INFO - Epoch(train) [1][1800/4451] lr: 5.1302e-07 eta: 15:48:54 time: 0.6747 data_time: 0.0163 memory: 51970 grad_norm: 0.1639 loss: 0.1231 recall@thr=0.5: 0.3683 prec@thr=0.5: 0.5000 recall@top3: 0.4952 prec@top3: 0.3968 recall@top5: 0.6048 prec@top5: 0.3238 loss_action_cls: 0.1231 2023/03/10 15:35:22 - mmengine - INFO - Epoch(train) [1][1820/4451] lr: 5.1543e-07 eta: 15:47:43 time: 0.5921 data_time: 0.0124 memory: 51970 grad_norm: 0.1561 loss: 0.1004 recall@thr=0.5: 0.4253 prec@thr=0.5: 0.5367 recall@top3: 0.5353 prec@top3: 0.4800 recall@top5: 0.7940 prec@top5: 0.4640 loss_action_cls: 0.1004 2023/03/10 15:35:34 - mmengine - INFO - Epoch(train) [1][1840/4451] lr: 5.1783e-07 eta: 15:46:44 time: 0.6032 data_time: 0.0127 memory: 51970 grad_norm: 0.1581 loss: 0.0969 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6898 recall@top3: 0.7593 prec@top3: 0.5556 recall@top5: 0.7963 prec@top5: 0.3556 loss_action_cls: 0.0969 2023/03/10 15:35:47 - mmengine - INFO - Epoch(train) [1][1860/4451] lr: 5.2023e-07 eta: 15:46:05 time: 0.6243 data_time: 0.0126 memory: 51970 grad_norm: 0.1558 loss: 0.1266 recall@thr=0.5: 0.1910 prec@thr=0.5: 0.2708 recall@top3: 0.5764 prec@top3: 0.4583 recall@top5: 0.7986 prec@top5: 0.4083 loss_action_cls: 0.1266 2023/03/10 15:36:00 - mmengine - INFO - Epoch(train) [1][1880/4451] lr: 5.2263e-07 eta: 15:45:51 time: 0.6495 data_time: 0.0132 memory: 51970 grad_norm: 0.1609 loss: 0.1085 recall@thr=0.5: 0.3889 prec@thr=0.5: 0.6389 recall@top3: 0.6102 prec@top3: 0.5741 recall@top5: 0.8593 prec@top5: 0.4778 loss_action_cls: 0.1085 2023/03/10 15:36:13 - mmengine - INFO - Epoch(train) [1][1900/4451] lr: 5.2503e-07 eta: 15:45:25 time: 0.6374 data_time: 0.0125 memory: 51970 grad_norm: 0.1581 loss: 0.1018 recall@thr=0.5: 0.2611 prec@thr=0.5: 0.4167 recall@top3: 0.5222 prec@top3: 0.3889 recall@top5: 0.6815 prec@top5: 0.3000 loss_action_cls: 0.1018 2023/03/10 15:36:26 - mmengine - INFO - Epoch(train) [1][1920/4451] lr: 5.2744e-07 eta: 15:45:40 time: 0.6824 data_time: 0.0121 memory: 51970 grad_norm: 0.1604 loss: 0.1010 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4792 recall@top3: 0.7188 prec@top3: 0.3750 recall@top5: 1.0000 prec@top5: 0.3375 loss_action_cls: 0.1010 2023/03/10 15:36:37 - mmengine - INFO - Epoch(train) [1][1940/4451] lr: 5.2984e-07 eta: 15:43:57 time: 0.5514 data_time: 0.0138 memory: 51970 grad_norm: 0.1554 loss: 0.1014 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8235 recall@top3: 0.7255 prec@top3: 0.4314 recall@top5: 0.8235 prec@top5: 0.3059 loss_action_cls: 0.1014 2023/03/10 15:36:51 - mmengine - INFO - Epoch(train) [1][1960/4451] lr: 5.3224e-07 eta: 15:44:07 time: 0.6764 data_time: 0.0118 memory: 51970 grad_norm: 0.1540 loss: 0.1071 recall@thr=0.5: 0.4608 prec@thr=0.5: 0.6176 recall@top3: 0.7108 prec@top3: 0.4510 recall@top5: 0.8824 prec@top5: 0.3647 loss_action_cls: 0.1071 2023/03/10 15:37:03 - mmengine - INFO - Epoch(train) [1][1980/4451] lr: 5.3464e-07 eta: 15:43:05 time: 0.5940 data_time: 0.0140 memory: 51970 grad_norm: 0.1618 loss: 0.1009 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7381 recall@top3: 0.8413 prec@top3: 0.4286 recall@top5: 0.8571 prec@top5: 0.2667 loss_action_cls: 0.1009 2023/03/10 15:37:17 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 15:37:17 - mmengine - INFO - Epoch(train) [1][2000/4451] lr: 5.3704e-07 eta: 15:43:32 time: 0.6971 data_time: 0.0125 memory: 51970 grad_norm: 0.1587 loss: 0.1118 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.3772 recall@top3: 0.6491 prec@top3: 0.3509 recall@top5: 0.7193 prec@top5: 0.2421 loss_action_cls: 0.1118 2023/03/10 15:37:28 - mmengine - INFO - Epoch(train) [1][2020/4451] lr: 5.3945e-07 eta: 15:42:03 time: 0.5613 data_time: 0.0130 memory: 51970 grad_norm: 0.1625 loss: 0.1052 recall@thr=0.5: 0.5706 prec@thr=0.5: 0.7745 recall@top3: 0.6725 prec@top3: 0.6078 recall@top5: 0.8657 prec@top5: 0.4941 loss_action_cls: 0.1052 2023/03/10 15:37:42 - mmengine - INFO - Epoch(train) [1][2040/4451] lr: 5.4185e-07 eta: 15:42:28 time: 0.6944 data_time: 0.0124 memory: 51970 grad_norm: 0.1559 loss: 0.1022 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.5764 recall@top3: 0.7778 prec@top3: 0.5000 recall@top5: 0.8056 prec@top5: 0.3167 loss_action_cls: 0.1022 2023/03/10 15:37:54 - mmengine - INFO - Epoch(train) [1][2060/4451] lr: 5.4425e-07 eta: 15:41:24 time: 0.5901 data_time: 0.0122 memory: 51970 grad_norm: 0.1645 loss: 0.1077 recall@thr=0.5: 0.2179 prec@thr=0.5: 0.2885 recall@top3: 0.6346 prec@top3: 0.4615 recall@top5: 0.8590 prec@top5: 0.3692 loss_action_cls: 0.1077 2023/03/10 15:38:06 - mmengine - INFO - Epoch(train) [1][2080/4451] lr: 5.4665e-07 eta: 15:40:55 time: 0.6308 data_time: 0.0129 memory: 51970 grad_norm: 0.1735 loss: 0.1097 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6961 recall@top3: 0.7451 prec@top3: 0.4510 recall@top5: 0.8873 prec@top5: 0.3294 loss_action_cls: 0.1097 2023/03/10 15:38:18 - mmengine - INFO - Epoch(train) [1][2100/4451] lr: 5.4905e-07 eta: 15:39:44 time: 0.5789 data_time: 0.0127 memory: 51970 grad_norm: 0.1559 loss: 0.1038 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.4444 recall@top3: 0.5617 prec@top3: 0.4444 recall@top5: 0.6914 prec@top5: 0.3407 loss_action_cls: 0.1038 2023/03/10 15:38:33 - mmengine - INFO - Epoch(train) [1][2120/4451] lr: 5.5146e-07 eta: 15:41:01 time: 0.7583 data_time: 0.0130 memory: 51970 grad_norm: 0.1613 loss: 0.1109 recall@thr=0.5: 0.4867 prec@thr=0.5: 0.7733 recall@top3: 0.6967 prec@top3: 0.5333 recall@top5: 0.8033 prec@top5: 0.3760 loss_action_cls: 0.1109 2023/03/10 15:38:44 - mmengine - INFO - Epoch(train) [1][2140/4451] lr: 5.5386e-07 eta: 15:39:14 time: 0.5343 data_time: 0.0116 memory: 51970 grad_norm: 0.1525 loss: 0.1061 recall@thr=0.5: 0.5654 prec@thr=0.5: 0.5994 recall@top3: 0.7000 prec@top3: 0.6923 recall@top5: 0.9167 prec@top5: 0.5692 loss_action_cls: 0.1061 2023/03/10 15:38:58 - mmengine - INFO - Epoch(train) [1][2160/4451] lr: 5.5626e-07 eta: 15:40:09 time: 0.7335 data_time: 0.0127 memory: 51970 grad_norm: 0.1572 loss: 0.0970 recall@thr=0.5: 0.4605 prec@thr=0.5: 0.6491 recall@top3: 0.7061 prec@top3: 0.5614 recall@top5: 0.8070 prec@top5: 0.4000 loss_action_cls: 0.0970 2023/03/10 15:39:09 - mmengine - INFO - Epoch(train) [1][2180/4451] lr: 5.5866e-07 eta: 15:38:21 time: 0.5290 data_time: 0.0120 memory: 51970 grad_norm: 0.1545 loss: 0.0964 recall@thr=0.5: 0.4431 prec@thr=0.5: 0.8039 recall@top3: 0.5461 prec@top3: 0.5686 recall@top5: 0.7157 prec@top5: 0.4706 loss_action_cls: 0.0964 2023/03/10 15:39:23 - mmengine - INFO - Epoch(train) [1][2200/4451] lr: 5.6106e-07 eta: 15:38:55 time: 0.7089 data_time: 0.0143 memory: 51970 grad_norm: 0.1594 loss: 0.1081 recall@thr=0.5: 0.3596 prec@thr=0.5: 0.5263 recall@top3: 0.6842 prec@top3: 0.4737 recall@top5: 0.7895 prec@top5: 0.3368 loss_action_cls: 0.1081 2023/03/10 15:39:35 - mmengine - INFO - Epoch(train) [1][2220/4451] lr: 5.6347e-07 eta: 15:38:11 time: 0.6089 data_time: 0.0151 memory: 51970 grad_norm: 0.1587 loss: 0.0829 recall@thr=0.5: 0.2281 prec@thr=0.5: 0.3860 recall@top3: 0.5658 prec@top3: 0.5439 recall@top5: 0.7719 prec@top5: 0.4526 loss_action_cls: 0.0829 2023/03/10 15:39:47 - mmengine - INFO - Epoch(train) [1][2240/4451] lr: 5.6587e-07 eta: 15:37:31 time: 0.6136 data_time: 0.0125 memory: 51970 grad_norm: 0.1587 loss: 0.0959 recall@thr=0.5: 0.5307 prec@thr=0.5: 0.7456 recall@top3: 0.7018 prec@top3: 0.4561 recall@top5: 0.8289 prec@top5: 0.3368 loss_action_cls: 0.0959 2023/03/10 15:40:00 - mmengine - INFO - Epoch(train) [1][2260/4451] lr: 5.6827e-07 eta: 15:37:09 time: 0.6361 data_time: 0.0131 memory: 51970 grad_norm: 0.1572 loss: 0.1125 recall@thr=0.5: 0.4897 prec@thr=0.5: 0.5705 recall@top3: 0.6359 prec@top3: 0.5385 recall@top5: 0.7635 prec@top5: 0.4077 loss_action_cls: 0.1125 2023/03/10 15:40:14 - mmengine - INFO - Epoch(train) [1][2280/4451] lr: 5.7067e-07 eta: 15:37:14 time: 0.6721 data_time: 0.0123 memory: 51970 grad_norm: 0.1578 loss: 0.0835 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.5521 recall@top3: 0.8542 prec@top3: 0.3958 recall@top5: 0.9375 prec@top5: 0.2875 loss_action_cls: 0.0835 2023/03/10 15:40:25 - mmengine - INFO - Epoch(train) [1][2300/4451] lr: 5.7307e-07 eta: 15:36:14 time: 0.5851 data_time: 0.0129 memory: 51970 grad_norm: 0.1626 loss: 0.1076 recall@thr=0.5: 0.5079 prec@thr=0.5: 0.6468 recall@top3: 0.6984 prec@top3: 0.6032 recall@top5: 0.8254 prec@top5: 0.4381 loss_action_cls: 0.1076 2023/03/10 15:40:38 - mmengine - INFO - Epoch(train) [1][2320/4451] lr: 5.7548e-07 eta: 15:36:02 time: 0.6501 data_time: 0.0125 memory: 51970 grad_norm: 0.1505 loss: 0.0864 recall@thr=0.5: 0.4713 prec@thr=0.5: 0.6092 recall@top3: 0.7241 prec@top3: 0.4253 recall@top5: 0.9253 prec@top5: 0.3448 loss_action_cls: 0.0864 2023/03/10 15:40:51 - mmengine - INFO - Epoch(train) [1][2340/4451] lr: 5.7788e-07 eta: 15:35:21 time: 0.6090 data_time: 0.0123 memory: 51970 grad_norm: 0.1558 loss: 0.1036 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.7130 recall@top3: 0.7454 prec@top3: 0.5370 recall@top5: 0.8333 prec@top5: 0.3667 loss_action_cls: 0.1036 2023/03/10 15:41:04 - mmengine - INFO - Epoch(train) [1][2360/4451] lr: 5.8028e-07 eta: 15:35:19 time: 0.6624 data_time: 0.0129 memory: 51970 grad_norm: 0.1568 loss: 0.1101 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.5333 recall@top3: 0.6278 prec@top3: 0.5111 recall@top5: 0.9167 prec@top5: 0.4533 loss_action_cls: 0.1101 2023/03/10 15:41:16 - mmengine - INFO - Epoch(train) [1][2380/4451] lr: 5.8268e-07 eta: 15:34:37 time: 0.6087 data_time: 0.0136 memory: 51970 grad_norm: 0.1511 loss: 0.1083 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6944 recall@top3: 0.7778 prec@top3: 0.5370 recall@top5: 0.8611 prec@top5: 0.3556 loss_action_cls: 0.1083 2023/03/10 15:41:31 - mmengine - INFO - Epoch(train) [1][2400/4451] lr: 5.8508e-07 eta: 15:35:44 time: 0.7572 data_time: 0.0119 memory: 51970 grad_norm: 0.1663 loss: 0.0952 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6917 recall@top3: 0.7667 prec@top3: 0.6333 recall@top5: 0.8917 prec@top5: 0.4500 loss_action_cls: 0.0952 2023/03/10 15:41:43 - mmengine - INFO - Epoch(train) [1][2420/4451] lr: 5.8749e-07 eta: 15:34:41 time: 0.5784 data_time: 0.0124 memory: 51970 grad_norm: 0.1491 loss: 0.1127 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.4896 recall@top3: 0.8438 prec@top3: 0.4375 recall@top5: 0.8750 prec@top5: 0.2750 loss_action_cls: 0.1127 2023/03/10 15:41:56 - mmengine - INFO - Epoch(train) [1][2440/4451] lr: 5.8989e-07 eta: 15:34:36 time: 0.6589 data_time: 0.0141 memory: 51970 grad_norm: 0.1513 loss: 0.1171 recall@thr=0.5: 0.4350 prec@thr=0.5: 0.6250 recall@top3: 0.7033 prec@top3: 0.6333 recall@top5: 0.8783 prec@top5: 0.4700 loss_action_cls: 0.1171 2023/03/10 15:42:08 - mmengine - INFO - Epoch(train) [1][2460/4451] lr: 5.9229e-07 eta: 15:33:59 time: 0.6130 data_time: 0.0143 memory: 51970 grad_norm: 0.1568 loss: 0.1019 recall@thr=0.5: 0.4878 prec@thr=0.5: 0.5222 recall@top3: 0.6789 prec@top3: 0.5778 recall@top5: 0.8911 prec@top5: 0.4933 loss_action_cls: 0.1019 2023/03/10 15:42:22 - mmengine - INFO - Epoch(train) [1][2480/4451] lr: 5.9469e-07 eta: 15:34:14 time: 0.6875 data_time: 0.0152 memory: 51970 grad_norm: 0.1563 loss: 0.0888 recall@thr=0.5: 0.3889 prec@thr=0.5: 0.4167 recall@top3: 0.7917 prec@top3: 0.5556 recall@top5: 0.8194 prec@top5: 0.3500 loss_action_cls: 0.0888 2023/03/10 15:42:34 - mmengine - INFO - Epoch(train) [1][2500/4451] lr: 5.9709e-07 eta: 15:33:43 time: 0.6220 data_time: 0.0132 memory: 51970 grad_norm: 0.1610 loss: 0.1034 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8981 recall@top3: 0.7824 prec@top3: 0.6481 recall@top5: 0.9491 prec@top5: 0.4778 loss_action_cls: 0.1034 2023/03/10 15:42:49 - mmengine - INFO - Epoch(train) [1][2520/4451] lr: 5.9950e-07 eta: 15:34:33 time: 0.7391 data_time: 0.0128 memory: 51970 grad_norm: 0.1550 loss: 0.0958 recall@thr=0.5: 0.4083 prec@thr=0.5: 0.5250 recall@top3: 0.8333 prec@top3: 0.5167 recall@top5: 0.9333 prec@top5: 0.3500 loss_action_cls: 0.0958 2023/03/10 15:43:00 - mmengine - INFO - Epoch(train) [1][2540/4451] lr: 6.0190e-07 eta: 15:33:25 time: 0.5669 data_time: 0.0119 memory: 51970 grad_norm: 0.1590 loss: 0.0888 recall@thr=0.5: 0.6620 prec@thr=0.5: 0.7367 recall@top3: 0.6440 prec@top3: 0.6267 recall@top5: 0.8187 prec@top5: 0.4800 loss_action_cls: 0.0888 2023/03/10 15:43:14 - mmengine - INFO - Epoch(train) [1][2560/4451] lr: 6.0430e-07 eta: 15:33:38 time: 0.6866 data_time: 0.0133 memory: 51970 grad_norm: 0.1568 loss: 0.1028 recall@thr=0.5: 0.3462 prec@thr=0.5: 0.4359 recall@top3: 0.6154 prec@top3: 0.4615 recall@top5: 0.7885 prec@top5: 0.4000 loss_action_cls: 0.1028 2023/03/10 15:43:27 - mmengine - INFO - Epoch(train) [1][2580/4451] lr: 6.0670e-07 eta: 15:33:06 time: 0.6189 data_time: 0.0120 memory: 51970 grad_norm: 0.1608 loss: 0.0844 recall@thr=0.5: 0.4211 prec@thr=0.5: 0.5351 recall@top3: 0.6491 prec@top3: 0.5439 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0844 2023/03/10 15:43:42 - mmengine - INFO - Epoch(train) [1][2600/4451] lr: 6.0910e-07 eta: 15:34:28 time: 0.7909 data_time: 0.0138 memory: 51970 grad_norm: 0.1627 loss: 0.0928 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.7604 recall@top3: 0.7500 prec@top3: 0.6042 recall@top5: 0.8542 prec@top5: 0.4125 loss_action_cls: 0.0928 2023/03/10 15:43:55 - mmengine - INFO - Epoch(train) [1][2620/4451] lr: 6.1151e-07 eta: 15:33:48 time: 0.6086 data_time: 0.0122 memory: 51970 grad_norm: 0.1638 loss: 0.0950 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.6373 recall@top3: 0.6569 prec@top3: 0.4706 recall@top5: 0.7647 prec@top5: 0.3412 loss_action_cls: 0.0950 2023/03/10 15:44:08 - mmengine - INFO - Epoch(train) [1][2640/4451] lr: 6.1391e-07 eta: 15:33:44 time: 0.6611 data_time: 0.0120 memory: 51970 grad_norm: 0.1568 loss: 0.0907 recall@thr=0.5: 0.3039 prec@thr=0.5: 0.3922 recall@top3: 0.5882 prec@top3: 0.3725 recall@top5: 0.8627 prec@top5: 0.3176 loss_action_cls: 0.0907 2023/03/10 15:44:20 - mmengine - INFO - Epoch(train) [1][2660/4451] lr: 6.1631e-07 eta: 15:33:21 time: 0.6335 data_time: 0.0126 memory: 51970 grad_norm: 0.1529 loss: 0.0817 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6190 recall@top3: 0.5833 prec@top3: 0.3333 recall@top5: 0.7857 prec@top5: 0.3143 loss_action_cls: 0.0817 2023/03/10 15:44:34 - mmengine - INFO - Epoch(train) [1][2680/4451] lr: 6.1871e-07 eta: 15:33:28 time: 0.6793 data_time: 0.0122 memory: 51970 grad_norm: 0.1506 loss: 0.0925 recall@thr=0.5: 0.4515 prec@thr=0.5: 0.5098 recall@top3: 0.5642 prec@top3: 0.4804 recall@top5: 0.6485 prec@top5: 0.3294 loss_action_cls: 0.0925 2023/03/10 15:44:47 - mmengine - INFO - Epoch(train) [1][2700/4451] lr: 6.2111e-07 eta: 15:33:01 time: 0.6276 data_time: 0.0121 memory: 51970 grad_norm: 0.1556 loss: 0.0939 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7628 recall@top3: 0.7308 prec@top3: 0.6154 recall@top5: 1.0000 prec@top5: 0.4923 loss_action_cls: 0.0939 2023/03/10 15:45:01 - mmengine - INFO - Epoch(train) [1][2720/4451] lr: 6.2352e-07 eta: 15:33:31 time: 0.7156 data_time: 0.0129 memory: 51970 grad_norm: 0.1593 loss: 0.0929 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6875 recall@top3: 0.6198 prec@top3: 0.6042 recall@top5: 0.6979 prec@top5: 0.4250 loss_action_cls: 0.0929 2023/03/10 15:45:14 - mmengine - INFO - Epoch(train) [1][2740/4451] lr: 6.2592e-07 eta: 15:33:19 time: 0.6502 data_time: 0.0132 memory: 51970 grad_norm: 0.1609 loss: 0.0901 recall@thr=0.5: 0.6093 prec@thr=0.5: 0.8627 recall@top3: 0.7013 prec@top3: 0.6133 recall@top5: 0.8940 prec@top5: 0.4880 loss_action_cls: 0.0901 2023/03/10 15:45:27 - mmengine - INFO - Epoch(train) [1][2760/4451] lr: 6.2832e-07 eta: 15:33:07 time: 0.6516 data_time: 0.0129 memory: 51970 grad_norm: 0.1597 loss: 0.0972 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8264 recall@top3: 0.8194 prec@top3: 0.6111 recall@top5: 0.8715 prec@top5: 0.4000 loss_action_cls: 0.0972 2023/03/10 15:45:39 - mmengine - INFO - Epoch(train) [1][2780/4451] lr: 6.3072e-07 eta: 15:32:20 time: 0.5938 data_time: 0.0138 memory: 51970 grad_norm: 0.1626 loss: 0.0910 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5778 recall@top3: 0.7000 prec@top3: 0.4444 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0910 2023/03/10 15:45:52 - mmengine - INFO - Epoch(train) [1][2800/4451] lr: 6.3312e-07 eta: 15:32:29 time: 0.6842 data_time: 0.0135 memory: 51970 grad_norm: 0.1548 loss: 0.1084 recall@thr=0.5: 0.4127 prec@thr=0.5: 0.5441 recall@top3: 0.5490 prec@top3: 0.5686 recall@top5: 0.7539 prec@top5: 0.4471 loss_action_cls: 0.1084 2023/03/10 15:46:04 - mmengine - INFO - Epoch(train) [1][2820/4451] lr: 6.3553e-07 eta: 15:31:23 time: 0.5623 data_time: 0.0127 memory: 51970 grad_norm: 0.1581 loss: 0.1021 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6754 recall@top3: 0.7982 prec@top3: 0.4912 recall@top5: 0.9123 prec@top5: 0.3579 loss_action_cls: 0.1021 2023/03/10 15:46:17 - mmengine - INFO - Epoch(train) [1][2840/4451] lr: 6.3793e-07 eta: 15:31:16 time: 0.6587 data_time: 0.0132 memory: 51970 grad_norm: 0.1529 loss: 0.0866 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.6594 recall@top3: 0.8841 prec@top3: 0.4783 recall@top5: 0.9493 prec@top5: 0.3043 loss_action_cls: 0.0866 2023/03/10 15:46:29 - mmengine - INFO - Epoch(train) [1][2860/4451] lr: 6.4033e-07 eta: 15:30:44 time: 0.6155 data_time: 0.0138 memory: 51970 grad_norm: 0.1528 loss: 0.1017 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6806 recall@top3: 0.7292 prec@top3: 0.4722 recall@top5: 0.8194 prec@top5: 0.3583 loss_action_cls: 0.1017 2023/03/10 15:46:43 - mmengine - INFO - Epoch(train) [1][2880/4451] lr: 6.4273e-07 eta: 15:31:09 time: 0.7128 data_time: 0.0130 memory: 51970 grad_norm: 0.1514 loss: 0.0858 recall@thr=0.5: 0.3826 prec@thr=0.5: 0.4773 recall@top3: 0.6667 prec@top3: 0.4545 recall@top5: 0.8636 prec@top5: 0.3636 loss_action_cls: 0.0858 2023/03/10 15:46:56 - mmengine - INFO - Epoch(train) [1][2900/4451] lr: 6.4513e-07 eta: 15:30:31 time: 0.6060 data_time: 0.0126 memory: 51970 grad_norm: 0.1642 loss: 0.1006 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.7632 recall@top3: 0.8684 prec@top3: 0.5789 recall@top5: 0.9561 prec@top5: 0.3895 loss_action_cls: 0.1006 2023/03/10 15:47:10 - mmengine - INFO - Epoch(train) [1][2920/4451] lr: 6.4754e-07 eta: 15:31:03 time: 0.7243 data_time: 0.0128 memory: 51970 grad_norm: 0.1499 loss: 0.1209 recall@thr=0.5: 0.4224 prec@thr=0.5: 0.5862 recall@top3: 0.8793 prec@top3: 0.6782 recall@top5: 0.9138 prec@top5: 0.4276 loss_action_cls: 0.1209 2023/03/10 15:47:23 - mmengine - INFO - Epoch(train) [1][2940/4451] lr: 6.4994e-07 eta: 15:30:36 time: 0.6244 data_time: 0.0123 memory: 51970 grad_norm: 0.1622 loss: 0.0814 recall@thr=0.5: 0.4800 prec@thr=0.5: 0.5867 recall@top3: 0.8567 prec@top3: 0.6000 recall@top5: 0.9367 prec@top5: 0.4000 loss_action_cls: 0.0814 2023/03/10 15:47:36 - mmengine - INFO - Epoch(train) [1][2960/4451] lr: 6.5234e-07 eta: 15:30:40 time: 0.6792 data_time: 0.0128 memory: 51970 grad_norm: 0.1602 loss: 0.1077 recall@thr=0.5: 0.3654 prec@thr=0.5: 0.5192 recall@top3: 0.6090 prec@top3: 0.3333 recall@top5: 0.7051 prec@top5: 0.2462 loss_action_cls: 0.1077 2023/03/10 15:47:48 - mmengine - INFO - Epoch(train) [1][2980/4451] lr: 6.5474e-07 eta: 15:29:42 time: 0.5710 data_time: 0.0127 memory: 51970 grad_norm: 0.1562 loss: 0.0917 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.5667 recall@top5: 0.9167 prec@top5: 0.4100 loss_action_cls: 0.0917 2023/03/10 15:48:02 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 15:48:02 - mmengine - INFO - Epoch(train) [1][3000/4451] lr: 6.5714e-07 eta: 15:30:10 time: 0.7189 data_time: 0.0129 memory: 51970 grad_norm: 0.1527 loss: 0.1116 recall@thr=0.5: 0.3917 prec@thr=0.5: 0.4833 recall@top3: 0.6458 prec@top3: 0.4500 recall@top5: 0.7583 prec@top5: 0.3200 loss_action_cls: 0.1116 2023/03/10 15:48:14 - mmengine - INFO - Epoch(train) [1][3020/4451] lr: 6.5955e-07 eta: 15:29:30 time: 0.6013 data_time: 0.0120 memory: 51970 grad_norm: 0.1614 loss: 0.0865 recall@thr=0.5: 0.3611 prec@thr=0.5: 0.5093 recall@top3: 0.6019 prec@top3: 0.5370 recall@top5: 0.7315 prec@top5: 0.4000 loss_action_cls: 0.0865 2023/03/10 15:48:28 - mmengine - INFO - Epoch(train) [1][3040/4451] lr: 6.6195e-07 eta: 15:29:49 time: 0.7061 data_time: 0.0121 memory: 51970 grad_norm: 0.1619 loss: 0.1082 recall@thr=0.5: 0.4500 prec@thr=0.5: 0.5733 recall@top3: 0.6000 prec@top3: 0.3867 recall@top5: 0.6467 prec@top5: 0.2560 loss_action_cls: 0.1082 2023/03/10 15:48:40 - mmengine - INFO - Epoch(train) [1][3060/4451] lr: 6.6435e-07 eta: 15:29:00 time: 0.5846 data_time: 0.0128 memory: 51970 grad_norm: 0.1578 loss: 0.1008 recall@thr=0.5: 0.6440 prec@thr=0.5: 0.7800 recall@top3: 0.7247 prec@top3: 0.6267 recall@top5: 0.9140 prec@top5: 0.4880 loss_action_cls: 0.1008 2023/03/10 15:48:54 - mmengine - INFO - Epoch(train) [1][3080/4451] lr: 6.6675e-07 eta: 15:29:27 time: 0.7197 data_time: 0.0142 memory: 51970 grad_norm: 0.1570 loss: 0.1032 recall@thr=0.5: 0.4556 prec@thr=0.5: 0.7556 recall@top3: 0.6778 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4667 loss_action_cls: 0.1032 2023/03/10 15:49:07 - mmengine - INFO - Epoch(train) [1][3100/4451] lr: 6.6915e-07 eta: 15:29:10 time: 0.6414 data_time: 0.0146 memory: 51970 grad_norm: 0.1551 loss: 0.0966 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4750 recall@top3: 0.6000 prec@top3: 0.4000 recall@top5: 0.7750 prec@top5: 0.3000 loss_action_cls: 0.0966 2023/03/10 15:49:21 - mmengine - INFO - Epoch(train) [1][3120/4451] lr: 6.7156e-07 eta: 15:29:32 time: 0.7132 data_time: 0.0116 memory: 51970 grad_norm: 0.1570 loss: 0.0967 recall@thr=0.5: 0.3403 prec@thr=0.5: 0.5972 recall@top3: 0.6146 prec@top3: 0.4861 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0967 2023/03/10 15:49:35 - mmengine - INFO - Epoch(train) [1][3140/4451] lr: 6.7396e-07 eta: 15:29:46 time: 0.6977 data_time: 0.0132 memory: 51970 grad_norm: 0.1563 loss: 0.0740 recall@thr=0.5: 0.5437 prec@thr=0.5: 0.6508 recall@top3: 0.6310 prec@top3: 0.5079 recall@top5: 0.8254 prec@top5: 0.4286 loss_action_cls: 0.0740 2023/03/10 15:49:49 - mmengine - INFO - Epoch(train) [1][3160/4451] lr: 6.7636e-07 eta: 15:30:08 time: 0.7141 data_time: 0.0197 memory: 51970 grad_norm: 0.1545 loss: 0.0795 recall@thr=0.5: 0.4201 prec@thr=0.5: 0.5139 recall@top3: 0.7743 prec@top3: 0.5556 recall@top5: 0.8993 prec@top5: 0.3833 loss_action_cls: 0.0795 2023/03/10 15:50:02 - mmengine - INFO - Epoch(train) [1][3180/4451] lr: 6.7876e-07 eta: 15:29:48 time: 0.6378 data_time: 0.0130 memory: 51970 grad_norm: 0.1536 loss: 0.1020 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.7059 recall@top3: 0.6863 prec@top3: 0.4902 recall@top5: 0.8431 prec@top5: 0.3765 loss_action_cls: 0.1020 2023/03/10 15:50:19 - mmengine - INFO - Epoch(train) [1][3200/4451] lr: 6.8116e-07 eta: 15:31:04 time: 0.8156 data_time: 0.0148 memory: 51970 grad_norm: 0.1546 loss: 0.1104 recall@thr=0.5: 0.3278 prec@thr=0.5: 0.6667 recall@top3: 0.6130 prec@top3: 0.5185 recall@top5: 0.7435 prec@top5: 0.4000 loss_action_cls: 0.1104 2023/03/10 15:50:31 - mmengine - INFO - Epoch(train) [1][3220/4451] lr: 6.8357e-07 eta: 15:30:35 time: 0.6196 data_time: 0.0127 memory: 51970 grad_norm: 0.1526 loss: 0.0879 recall@thr=0.5: 0.7056 prec@thr=0.5: 0.7472 recall@top3: 0.7667 prec@top3: 0.7000 recall@top5: 0.9389 prec@top5: 0.5067 loss_action_cls: 0.0879 2023/03/10 15:50:46 - mmengine - INFO - Epoch(train) [1][3240/4451] lr: 6.8597e-07 eta: 15:31:26 time: 0.7731 data_time: 0.0129 memory: 51970 grad_norm: 0.1663 loss: 0.0981 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.6159 recall@top3: 0.8370 prec@top3: 0.6232 recall@top5: 0.9022 prec@top5: 0.4174 loss_action_cls: 0.0981 2023/03/10 15:51:00 - mmengine - INFO - Epoch(train) [1][3260/4451] lr: 6.8837e-07 eta: 15:31:36 time: 0.6950 data_time: 0.0120 memory: 51970 grad_norm: 0.1704 loss: 0.0727 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.8429 recall@top3: 0.7532 prec@top3: 0.6410 recall@top5: 0.7949 prec@top5: 0.4154 loss_action_cls: 0.0727 2023/03/10 15:51:16 - mmengine - INFO - Epoch(train) [1][3280/4451] lr: 6.9077e-07 eta: 15:32:44 time: 0.8070 data_time: 0.0133 memory: 51970 grad_norm: 0.1607 loss: 0.0977 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.6923 recall@top3: 0.9103 prec@top3: 0.6410 recall@top5: 0.9295 prec@top5: 0.4000 loss_action_cls: 0.0977 2023/03/10 15:51:31 - mmengine - INFO - Epoch(train) [1][3300/4451] lr: 6.9317e-07 eta: 15:33:02 time: 0.7112 data_time: 0.0123 memory: 51970 grad_norm: 0.1534 loss: 0.1136 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8333 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.1136 2023/03/10 15:51:46 - mmengine - INFO - Epoch(train) [1][3320/4451] lr: 6.9558e-07 eta: 15:33:41 time: 0.7544 data_time: 0.0133 memory: 51970 grad_norm: 0.1570 loss: 0.0968 recall@thr=0.5: 0.4315 prec@thr=0.5: 0.5238 recall@top3: 0.7351 prec@top3: 0.5476 recall@top5: 0.8512 prec@top5: 0.3857 loss_action_cls: 0.0968 2023/03/10 15:52:00 - mmengine - INFO - Epoch(train) [1][3340/4451] lr: 6.9798e-07 eta: 15:33:54 time: 0.7053 data_time: 0.0124 memory: 51970 grad_norm: 0.1571 loss: 0.0966 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.5833 recall@top3: 0.7407 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.4111 loss_action_cls: 0.0966 2023/03/10 15:52:16 - mmengine - INFO - Epoch(train) [1][3360/4451] lr: 7.0038e-07 eta: 15:34:56 time: 0.7998 data_time: 0.0135 memory: 51970 grad_norm: 0.1599 loss: 0.0953 recall@thr=0.5: 0.5052 prec@thr=0.5: 0.6562 recall@top3: 0.8177 prec@top3: 0.6667 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0953 2023/03/10 15:52:29 - mmengine - INFO - Epoch(train) [1][3380/4451] lr: 7.0278e-07 eta: 15:34:43 time: 0.6553 data_time: 0.0108 memory: 51970 grad_norm: 0.1511 loss: 0.0821 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.6818 recall@top3: 0.8712 prec@top3: 0.5455 recall@top5: 1.0000 prec@top5: 0.3909 loss_action_cls: 0.0821 2023/03/10 15:52:45 - mmengine - INFO - Epoch(train) [1][3400/4451] lr: 7.0518e-07 eta: 15:35:43 time: 0.8012 data_time: 0.0135 memory: 51970 grad_norm: 0.1556 loss: 0.1179 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.6237 recall@top3: 0.7527 prec@top3: 0.5161 recall@top5: 0.8817 prec@top5: 0.3742 loss_action_cls: 0.1179 2023/03/10 15:52:59 - mmengine - INFO - Epoch(train) [1][3420/4451] lr: 7.0759e-07 eta: 15:35:41 time: 0.6780 data_time: 0.0124 memory: 51970 grad_norm: 0.1598 loss: 0.1079 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8250 recall@top3: 0.8042 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.5400 loss_action_cls: 0.1079 2023/03/10 15:53:13 - mmengine - INFO - Epoch(train) [1][3440/4451] lr: 7.0999e-07 eta: 15:36:05 time: 0.7306 data_time: 0.0149 memory: 51970 grad_norm: 0.1556 loss: 0.0918 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.8667 recall@top3: 0.8167 prec@top3: 0.5333 recall@top5: 0.8889 prec@top5: 0.3600 loss_action_cls: 0.0918 2023/03/10 15:53:26 - mmengine - INFO - Epoch(train) [1][3460/4451] lr: 7.1239e-07 eta: 15:35:42 time: 0.6355 data_time: 0.0114 memory: 51970 grad_norm: 0.1480 loss: 0.0864 recall@thr=0.5: 0.4185 prec@thr=0.5: 0.5972 recall@top3: 0.6593 prec@top3: 0.5926 recall@top5: 0.9167 prec@top5: 0.4889 loss_action_cls: 0.0864 2023/03/10 15:53:41 - mmengine - INFO - Epoch(train) [1][3480/4451] lr: 7.1479e-07 eta: 15:36:15 time: 0.7507 data_time: 0.0133 memory: 51970 grad_norm: 0.1610 loss: 0.0997 recall@thr=0.5: 0.3772 prec@thr=0.5: 0.4474 recall@top3: 0.6228 prec@top3: 0.4211 recall@top5: 0.7544 prec@top5: 0.3053 loss_action_cls: 0.0997 2023/03/10 15:53:54 - mmengine - INFO - Epoch(train) [1][3500/4451] lr: 7.1719e-07 eta: 15:36:01 time: 0.6546 data_time: 0.0120 memory: 51970 grad_norm: 0.1560 loss: 0.1140 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.5294 recall@top3: 0.7843 prec@top3: 0.4706 recall@top5: 0.9118 prec@top5: 0.3412 loss_action_cls: 0.1140 2023/03/10 15:54:09 - mmengine - INFO - Epoch(train) [1][3520/4451] lr: 7.1960e-07 eta: 15:36:24 time: 0.7305 data_time: 0.0132 memory: 51970 grad_norm: 0.1591 loss: 0.1015 recall@thr=0.5: 0.2105 prec@thr=0.5: 0.3421 recall@top3: 0.5614 prec@top3: 0.3860 recall@top5: 0.7807 prec@top5: 0.3053 loss_action_cls: 0.1015 2023/03/10 15:54:23 - mmengine - INFO - Epoch(train) [1][3540/4451] lr: 7.2200e-07 eta: 15:36:32 time: 0.7002 data_time: 0.0119 memory: 51970 grad_norm: 0.1591 loss: 0.0989 recall@thr=0.5: 0.3981 prec@thr=0.5: 0.3981 recall@top3: 0.6019 prec@top3: 0.4444 recall@top5: 0.7685 prec@top5: 0.3667 loss_action_cls: 0.0989 2023/03/10 15:54:38 - mmengine - INFO - Epoch(train) [1][3560/4451] lr: 7.2440e-07 eta: 15:37:12 time: 0.7678 data_time: 0.0136 memory: 51970 grad_norm: 0.1588 loss: 0.0923 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7381 recall@top3: 0.8571 prec@top3: 0.6508 recall@top5: 0.8730 prec@top5: 0.4000 loss_action_cls: 0.0923 2023/03/10 15:54:52 - mmengine - INFO - Epoch(train) [1][3580/4451] lr: 7.2680e-07 eta: 15:37:09 time: 0.6799 data_time: 0.0114 memory: 51970 grad_norm: 0.1650 loss: 0.0869 recall@thr=0.5: 0.4543 prec@thr=0.5: 0.7246 recall@top3: 0.7217 prec@top3: 0.6812 recall@top5: 0.8377 prec@top5: 0.4696 loss_action_cls: 0.0869 2023/03/10 15:55:06 - mmengine - INFO - Epoch(train) [1][3600/4451] lr: 7.2920e-07 eta: 15:37:33 time: 0.7361 data_time: 0.0120 memory: 51970 grad_norm: 0.1560 loss: 0.0716 recall@thr=0.5: 0.5658 prec@thr=0.5: 0.6053 recall@top3: 0.6140 prec@top3: 0.5439 recall@top5: 0.8860 prec@top5: 0.4526 loss_action_cls: 0.0716 2023/03/10 15:55:21 - mmengine - INFO - Epoch(train) [1][3620/4451] lr: 7.3161e-07 eta: 15:37:45 time: 0.7130 data_time: 0.0127 memory: 51970 grad_norm: 0.1611 loss: 0.1105 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.5333 recall@top3: 0.7583 prec@top3: 0.4500 recall@top5: 0.9500 prec@top5: 0.3600 loss_action_cls: 0.1105 2023/03/10 15:55:36 - mmengine - INFO - Epoch(train) [1][3640/4451] lr: 7.3401e-07 eta: 15:38:25 time: 0.7707 data_time: 0.0124 memory: 51970 grad_norm: 0.1665 loss: 0.0889 recall@thr=0.5: 0.2660 prec@thr=0.5: 0.3910 recall@top3: 0.5641 prec@top3: 0.4359 recall@top5: 0.7628 prec@top5: 0.3462 loss_action_cls: 0.0889 2023/03/10 15:55:49 - mmengine - INFO - Epoch(train) [1][3660/4451] lr: 7.3641e-07 eta: 15:37:57 time: 0.6288 data_time: 0.0137 memory: 51970 grad_norm: 0.1556 loss: 0.1154 recall@thr=0.5: 0.5815 prec@thr=0.5: 0.7685 recall@top3: 0.6685 prec@top3: 0.6481 recall@top5: 0.8333 prec@top5: 0.5222 loss_action_cls: 0.1154 2023/03/10 15:56:04 - mmengine - INFO - Epoch(train) [1][3680/4451] lr: 7.3881e-07 eta: 15:38:44 time: 0.7897 data_time: 0.0131 memory: 51970 grad_norm: 0.1511 loss: 0.0825 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.6771 recall@top3: 0.8646 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4250 loss_action_cls: 0.0825 2023/03/10 15:56:17 - mmengine - INFO - Epoch(train) [1][3700/4451] lr: 7.4121e-07 eta: 15:38:17 time: 0.6301 data_time: 0.0121 memory: 51970 grad_norm: 0.1584 loss: 0.0991 recall@thr=0.5: 0.2700 prec@thr=0.5: 0.5133 recall@top3: 0.4733 prec@top3: 0.4533 recall@top5: 0.5200 prec@top5: 0.3040 loss_action_cls: 0.0991 2023/03/10 15:56:34 - mmengine - INFO - Epoch(train) [1][3720/4451] lr: 7.4362e-07 eta: 15:39:24 time: 0.8343 data_time: 0.0130 memory: 51970 grad_norm: 0.1550 loss: 0.0896 recall@thr=0.5: 0.5076 prec@thr=0.5: 0.6008 recall@top3: 0.5833 prec@top3: 0.5152 recall@top5: 0.8295 prec@top5: 0.4364 loss_action_cls: 0.0896 2023/03/10 15:56:45 - mmengine - INFO - Epoch(train) [1][3740/4451] lr: 7.4602e-07 eta: 15:38:33 time: 0.5773 data_time: 0.0114 memory: 51970 grad_norm: 0.1543 loss: 0.1093 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.7143 recall@top3: 0.6349 prec@top3: 0.5873 recall@top5: 0.8571 prec@top5: 0.4857 loss_action_cls: 0.1093 2023/03/10 15:57:02 - mmengine - INFO - Epoch(train) [1][3760/4451] lr: 7.4842e-07 eta: 15:39:38 time: 0.8338 data_time: 0.0130 memory: 51970 grad_norm: 0.1565 loss: 0.1063 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.7807 recall@top3: 0.9298 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.1063 2023/03/10 15:57:16 - mmengine - INFO - Epoch(train) [1][3780/4451] lr: 7.5082e-07 eta: 15:39:35 time: 0.6842 data_time: 0.0130 memory: 51970 grad_norm: 0.1595 loss: 0.0853 recall@thr=0.5: 0.3646 prec@thr=0.5: 0.4479 recall@top3: 0.5990 prec@top3: 0.4583 recall@top5: 0.7917 prec@top5: 0.3625 loss_action_cls: 0.0853 2023/03/10 15:57:32 - mmengine - INFO - Epoch(train) [1][3800/4451] lr: 7.5322e-07 eta: 15:40:35 time: 0.8235 data_time: 0.0121 memory: 51970 grad_norm: 0.1614 loss: 0.0814 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.8370 recall@top3: 0.7355 prec@top3: 0.6377 recall@top5: 0.9638 prec@top5: 0.5130 loss_action_cls: 0.0814 2023/03/10 15:57:46 - mmengine - INFO - Epoch(train) [1][3820/4451] lr: 7.5563e-07 eta: 15:40:34 time: 0.6897 data_time: 0.0135 memory: 51970 grad_norm: 0.1464 loss: 0.0808 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.6860 recall@top3: 0.7467 prec@top3: 0.5733 recall@top5: 0.9000 prec@top5: 0.4160 loss_action_cls: 0.0808 2023/03/10 15:58:00 - mmengine - INFO - Epoch(train) [1][3840/4451] lr: 7.5803e-07 eta: 15:40:37 time: 0.6990 data_time: 0.0114 memory: 51970 grad_norm: 0.1581 loss: 0.0858 recall@thr=0.5: 0.4062 prec@thr=0.5: 0.6250 recall@top3: 0.7188 prec@top3: 0.4583 recall@top5: 0.8125 prec@top5: 0.3250 loss_action_cls: 0.0858 2023/03/10 15:58:12 - mmengine - INFO - Epoch(train) [1][3860/4451] lr: 7.6043e-07 eta: 15:40:04 time: 0.6187 data_time: 0.0127 memory: 51970 grad_norm: 0.1646 loss: 0.0922 recall@thr=0.5: 0.5114 prec@thr=0.5: 0.7159 recall@top3: 0.7424 prec@top3: 0.6667 recall@top5: 0.8902 prec@top5: 0.4818 loss_action_cls: 0.0922 2023/03/10 15:58:27 - mmengine - INFO - Epoch(train) [1][3880/4451] lr: 7.6283e-07 eta: 15:40:17 time: 0.7216 data_time: 0.0123 memory: 51970 grad_norm: 0.1620 loss: 0.1177 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7153 recall@top3: 0.7222 prec@top3: 0.5972 recall@top5: 0.8611 prec@top5: 0.4250 loss_action_cls: 0.1177 2023/03/10 15:58:39 - mmengine - INFO - Epoch(train) [1][3900/4451] lr: 7.6523e-07 eta: 15:39:43 time: 0.6154 data_time: 0.0128 memory: 51970 grad_norm: 0.1577 loss: 0.0864 recall@thr=0.5: 0.2448 prec@thr=0.5: 0.3125 recall@top3: 0.4688 prec@top3: 0.3750 recall@top5: 0.6354 prec@top5: 0.3000 loss_action_cls: 0.0864 2023/03/10 15:58:54 - mmengine - INFO - Epoch(train) [1][3920/4451] lr: 7.6764e-07 eta: 15:40:01 time: 0.7332 data_time: 0.0171 memory: 51970 grad_norm: 0.1594 loss: 0.0832 recall@thr=0.5: 0.4710 prec@thr=0.5: 0.5254 recall@top3: 0.7681 prec@top3: 0.4783 recall@top5: 0.8297 prec@top5: 0.3217 loss_action_cls: 0.0832 2023/03/10 15:59:07 - mmengine - INFO - Epoch(train) [1][3940/4451] lr: 7.7004e-07 eta: 15:39:46 time: 0.6591 data_time: 0.0132 memory: 51970 grad_norm: 0.1604 loss: 0.1095 recall@thr=0.5: 0.5450 prec@thr=0.5: 0.6250 recall@top3: 0.7383 prec@top3: 0.6000 recall@top5: 0.8400 prec@top5: 0.4100 loss_action_cls: 0.1095 2023/03/10 15:59:21 - mmengine - INFO - Epoch(train) [1][3960/4451] lr: 7.7244e-07 eta: 15:40:00 time: 0.7260 data_time: 0.0139 memory: 51970 grad_norm: 0.1611 loss: 0.0701 recall@thr=0.5: 0.5946 prec@thr=0.5: 0.5328 recall@top3: 0.7941 prec@top3: 0.6344 recall@top5: 0.8871 prec@top5: 0.4452 loss_action_cls: 0.0701 2023/03/10 15:59:36 - mmengine - INFO - Epoch(train) [1][3980/4451] lr: 7.7484e-07 eta: 15:40:16 time: 0.7328 data_time: 0.0114 memory: 51970 grad_norm: 0.1648 loss: 0.1006 recall@thr=0.5: 0.4793 prec@thr=0.5: 0.7567 recall@top3: 0.7720 prec@top3: 0.7067 recall@top5: 0.9107 prec@top5: 0.5200 loss_action_cls: 0.1006 2023/03/10 15:59:50 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 15:59:50 - mmengine - INFO - Epoch(train) [1][4000/4451] lr: 7.7724e-07 eta: 15:40:25 time: 0.7140 data_time: 0.0122 memory: 51970 grad_norm: 0.1624 loss: 0.0939 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.4444 recall@top3: 0.9111 prec@top3: 0.4667 recall@top5: 0.9556 prec@top5: 0.3067 loss_action_cls: 0.0939 2023/03/10 16:00:06 - mmengine - INFO - Epoch(train) [1][4020/4451] lr: 7.7965e-07 eta: 15:41:01 time: 0.7807 data_time: 0.0128 memory: 51970 grad_norm: 0.1624 loss: 0.1083 recall@thr=0.5: 0.4435 prec@thr=0.5: 0.6156 recall@top3: 0.7446 prec@top3: 0.6452 recall@top5: 0.8468 prec@top5: 0.4452 loss_action_cls: 0.1083 2023/03/10 16:00:21 - mmengine - INFO - Epoch(train) [1][4040/4451] lr: 7.8205e-07 eta: 15:41:24 time: 0.7519 data_time: 0.0131 memory: 51970 grad_norm: 0.1583 loss: 0.0913 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.5263 recall@top3: 0.6360 prec@top3: 0.5263 recall@top5: 0.7939 prec@top5: 0.4105 loss_action_cls: 0.0913 2023/03/10 16:00:36 - mmengine - INFO - Epoch(train) [1][4060/4451] lr: 7.8445e-07 eta: 15:41:58 time: 0.7779 data_time: 0.0132 memory: 51970 grad_norm: 0.1601 loss: 0.0728 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7500 recall@top3: 0.8056 prec@top3: 0.5185 recall@top5: 0.9444 prec@top5: 0.3778 loss_action_cls: 0.0728 2023/03/10 16:00:50 - mmengine - INFO - Epoch(train) [1][4080/4451] lr: 7.8685e-07 eta: 15:41:50 time: 0.6782 data_time: 0.0117 memory: 51970 grad_norm: 0.1653 loss: 0.0938 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6111 recall@top3: 0.6796 prec@top3: 0.5000 recall@top5: 0.8852 prec@top5: 0.4222 loss_action_cls: 0.0938 2023/03/10 16:01:06 - mmengine - INFO - Epoch(train) [1][4100/4451] lr: 7.8925e-07 eta: 15:42:41 time: 0.8200 data_time: 0.0138 memory: 51970 grad_norm: 0.1621 loss: 0.0859 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.5877 recall@top3: 0.6184 prec@top3: 0.5439 recall@top5: 0.8316 prec@top5: 0.4632 loss_action_cls: 0.0859 2023/03/10 16:01:19 - mmengine - INFO - Epoch(train) [1][4120/4451] lr: 7.9166e-07 eta: 15:42:21 time: 0.6502 data_time: 0.0394 memory: 51970 grad_norm: 0.1630 loss: 0.0846 recall@thr=0.5: 0.7392 prec@thr=0.5: 0.8387 recall@top3: 0.8306 prec@top3: 0.6452 recall@top5: 0.9516 prec@top5: 0.4645 loss_action_cls: 0.0846 2023/03/10 16:01:35 - mmengine - INFO - Epoch(train) [1][4140/4451] lr: 7.9406e-07 eta: 15:42:57 time: 0.7841 data_time: 0.0548 memory: 51970 grad_norm: 0.1582 loss: 0.0868 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.7652 recall@top3: 0.8939 prec@top3: 0.6364 recall@top5: 0.9848 prec@top5: 0.4273 loss_action_cls: 0.0868 2023/03/10 16:01:47 - mmengine - INFO - Epoch(train) [1][4160/4451] lr: 7.9646e-07 eta: 15:42:24 time: 0.6202 data_time: 0.0229 memory: 51970 grad_norm: 0.1609 loss: 0.1061 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.6667 recall@top3: 0.7333 prec@top3: 0.5333 recall@top5: 0.8000 prec@top5: 0.3600 loss_action_cls: 0.1061 2023/03/10 16:02:03 - mmengine - INFO - Epoch(train) [1][4180/4451] lr: 7.9886e-07 eta: 15:42:53 time: 0.7706 data_time: 0.1437 memory: 51970 grad_norm: 0.1591 loss: 0.0809 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7062 recall@top3: 0.7986 prec@top3: 0.5972 recall@top5: 0.8542 prec@top5: 0.3917 loss_action_cls: 0.0809 2023/03/10 16:02:16 - mmengine - INFO - Epoch(train) [1][4200/4451] lr: 8.0126e-07 eta: 15:42:43 time: 0.6733 data_time: 0.1726 memory: 51970 grad_norm: 0.1543 loss: 0.0835 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6759 recall@top3: 0.9259 prec@top3: 0.6481 recall@top5: 0.9815 prec@top5: 0.4111 loss_action_cls: 0.0835 2023/03/10 16:02:32 - mmengine - INFO - Epoch(train) [1][4220/4451] lr: 8.0367e-07 eta: 15:43:14 time: 0.7773 data_time: 0.3469 memory: 51970 grad_norm: 0.1532 loss: 0.0829 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6667 recall@top3: 0.7111 prec@top3: 0.4000 recall@top5: 0.7556 prec@top5: 0.2667 loss_action_cls: 0.0829 2023/03/10 16:02:45 - mmengine - INFO - Epoch(train) [1][4240/4451] lr: 8.0607e-07 eta: 15:43:00 time: 0.6665 data_time: 0.2267 memory: 51970 grad_norm: 0.1610 loss: 0.0935 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.4323 recall@top3: 0.8125 prec@top3: 0.6042 recall@top5: 0.9010 prec@top5: 0.4125 loss_action_cls: 0.0935 2023/03/10 16:03:00 - mmengine - INFO - Epoch(train) [1][4260/4451] lr: 8.0847e-07 eta: 15:43:15 time: 0.7379 data_time: 0.2369 memory: 51970 grad_norm: 0.1640 loss: 0.1027 recall@thr=0.5: 0.6790 prec@thr=0.5: 0.7253 recall@top3: 0.8179 prec@top3: 0.6543 recall@top5: 0.9660 prec@top5: 0.4889 loss_action_cls: 0.1027 2023/03/10 16:03:12 - mmengine - INFO - Epoch(train) [1][4280/4451] lr: 8.1087e-07 eta: 15:42:44 time: 0.6239 data_time: 0.0656 memory: 51970 grad_norm: 0.1645 loss: 0.0971 recall@thr=0.5: 0.5347 prec@thr=0.5: 0.6319 recall@top3: 0.6736 prec@top3: 0.5694 recall@top5: 0.7708 prec@top5: 0.4083 loss_action_cls: 0.0971 2023/03/10 16:03:28 - mmengine - INFO - Epoch(train) [1][4300/4451] lr: 8.1327e-07 eta: 15:43:10 time: 0.7682 data_time: 0.0169 memory: 51970 grad_norm: 0.1719 loss: 0.0854 recall@thr=0.5: 0.3881 prec@thr=0.5: 0.6032 recall@top3: 0.5762 prec@top3: 0.6349 recall@top5: 0.8405 prec@top5: 0.5333 loss_action_cls: 0.0854 2023/03/10 16:03:42 - mmengine - INFO - Epoch(train) [1][4320/4451] lr: 8.1568e-07 eta: 15:43:11 time: 0.7034 data_time: 0.1317 memory: 51970 grad_norm: 0.1610 loss: 0.0855 recall@thr=0.5: 0.4861 prec@thr=0.5: 0.5208 recall@top3: 0.6250 prec@top3: 0.4306 recall@top5: 0.7778 prec@top5: 0.3250 loss_action_cls: 0.0855 2023/03/10 16:03:57 - mmengine - INFO - Epoch(train) [1][4340/4451] lr: 8.1808e-07 eta: 15:43:41 time: 0.7809 data_time: 0.1665 memory: 51970 grad_norm: 0.1658 loss: 0.0914 recall@thr=0.5: 0.4286 prec@thr=0.5: 0.6587 recall@top3: 0.6746 prec@top3: 0.5873 recall@top5: 0.9087 prec@top5: 0.4762 loss_action_cls: 0.0914 2023/03/10 16:04:13 - mmengine - INFO - Epoch(train) [1][4360/4451] lr: 8.2048e-07 eta: 15:44:11 time: 0.7785 data_time: 0.0117 memory: 51970 grad_norm: 0.1624 loss: 0.1078 recall@thr=0.5: 0.3571 prec@thr=0.5: 0.5714 recall@top3: 0.7738 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4714 loss_action_cls: 0.1078 2023/03/10 16:04:26 - mmengine - INFO - Epoch(train) [1][4380/4451] lr: 8.2288e-07 eta: 15:43:43 time: 0.6316 data_time: 0.0150 memory: 51970 grad_norm: 0.1604 loss: 0.1004 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.5882 recall@top3: 0.5980 prec@top3: 0.5098 recall@top5: 0.7451 prec@top5: 0.3765 loss_action_cls: 0.1004 2023/03/10 16:04:41 - mmengine - INFO - Epoch(train) [1][4400/4451] lr: 8.2528e-07 eta: 15:44:11 time: 0.7779 data_time: 0.0126 memory: 51970 grad_norm: 0.1565 loss: 0.1029 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5000 recall@top3: 0.6000 prec@top3: 0.3778 recall@top5: 0.7778 prec@top5: 0.3067 loss_action_cls: 0.1029 2023/03/10 16:04:56 - mmengine - INFO - Epoch(train) [1][4420/4451] lr: 8.2769e-07 eta: 15:44:18 time: 0.7228 data_time: 0.0116 memory: 51970 grad_norm: 0.1493 loss: 0.0833 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.5667 recall@top3: 0.6583 prec@top3: 0.4500 recall@top5: 0.8042 prec@top5: 0.3400 loss_action_cls: 0.0833 2023/03/10 16:05:10 - mmengine - INFO - Epoch(train) [1][4440/4451] lr: 8.3009e-07 eta: 15:44:21 time: 0.7129 data_time: 0.0128 memory: 51970 grad_norm: 0.1594 loss: 0.0878 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.6250 recall@top3: 0.8333 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.3875 loss_action_cls: 0.0878 2023/03/10 16:05:15 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 16:05:15 - mmengine - INFO - Epoch(train) [1][4451/4451] lr: 8.3141e-07 eta: 15:43:22 time: 0.5224 data_time: 0.0110 memory: 51970 grad_norm: 0.1603 loss: 0.1039 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.7436 recall@top3: 0.5385 prec@top3: 0.4615 recall@top5: 0.6923 prec@top5: 0.3538 loss_action_cls: 0.1039 2023/03/10 16:05:15 - mmengine - INFO - Saving checkpoint at 1 epochs 2023/03/10 16:05:23 - mmengine - INFO - Epoch(val) [1][ 20/6282] eta: 0:20:32 time: 0.1969 data_time: 0.1525 memory: 2331 2023/03/10 16:05:24 - mmengine - INFO - Epoch(val) [1][ 40/6282] eta: 0:13:22 time: 0.0602 data_time: 0.0177 memory: 2331 2023/03/10 16:05:26 - mmengine - INFO - Epoch(val) [1][ 60/6282] eta: 0:11:14 time: 0.0680 data_time: 0.0248 memory: 2331 2023/03/10 16:05:27 - mmengine - INFO - Epoch(val) [1][ 80/6282] eta: 0:09:54 time: 0.0584 data_time: 0.0145 memory: 2331 2023/03/10 16:05:28 - mmengine - INFO - Epoch(val) [1][ 100/6282] eta: 0:09:19 time: 0.0695 data_time: 0.0269 memory: 2331 2023/03/10 16:05:29 - mmengine - INFO - Epoch(val) [1][ 120/6282] eta: 0:08:50 time: 0.0636 data_time: 0.0089 memory: 2934 2023/03/10 16:05:31 - mmengine - INFO - Epoch(val) [1][ 140/6282] eta: 0:08:29 time: 0.0638 data_time: 0.0039 memory: 2934 2023/03/10 16:05:32 - mmengine - INFO - Epoch(val) [1][ 160/6282] eta: 0:08:25 time: 0.0805 data_time: 0.0190 memory: 2934 2023/03/10 16:05:34 - mmengine - INFO - Epoch(val) [1][ 180/6282] eta: 0:08:12 time: 0.0652 data_time: 0.0056 memory: 2934 2023/03/10 16:05:35 - mmengine - INFO - Epoch(val) [1][ 200/6282] eta: 0:07:59 time: 0.0625 data_time: 0.0038 memory: 2934 2023/03/10 16:05:36 - mmengine - INFO - Epoch(val) [1][ 220/6282] eta: 0:07:47 time: 0.0591 data_time: 0.0142 memory: 2396 2023/03/10 16:05:37 - mmengine - INFO - Epoch(val) [1][ 240/6282] eta: 0:07:37 time: 0.0604 data_time: 0.0152 memory: 2396 2023/03/10 16:05:39 - mmengine - INFO - Epoch(val) [1][ 260/6282] eta: 0:07:33 time: 0.0703 data_time: 0.0255 memory: 2396 2023/03/10 16:05:40 - mmengine - INFO - Epoch(val) [1][ 280/6282] eta: 0:07:25 time: 0.0610 data_time: 0.0144 memory: 2396 2023/03/10 16:05:41 - mmengine - INFO - Epoch(val) [1][ 300/6282] eta: 0:07:20 time: 0.0665 data_time: 0.0139 memory: 2934 2023/03/10 16:05:43 - mmengine - INFO - Epoch(val) [1][ 320/6282] eta: 0:07:17 time: 0.0681 data_time: 0.0084 memory: 2934 2023/03/10 16:05:44 - mmengine - INFO - Epoch(val) [1][ 340/6282] eta: 0:07:13 time: 0.0652 data_time: 0.0050 memory: 2934 2023/03/10 16:05:45 - mmengine - INFO - Epoch(val) [1][ 360/6282] eta: 0:07:08 time: 0.0641 data_time: 0.0043 memory: 2934 2023/03/10 16:05:47 - mmengine - INFO - Epoch(val) [1][ 380/6282] eta: 0:07:05 time: 0.0672 data_time: 0.0069 memory: 2934 2023/03/10 16:05:48 - mmengine - INFO - Epoch(val) [1][ 400/6282] eta: 0:07:02 time: 0.0674 data_time: 0.0153 memory: 2934 2023/03/10 16:05:49 - mmengine - INFO - Epoch(val) [1][ 420/6282] eta: 0:07:00 time: 0.0683 data_time: 0.0212 memory: 2397 2023/03/10 16:05:50 - mmengine - INFO - Epoch(val) [1][ 440/6282] eta: 0:06:56 time: 0.0614 data_time: 0.0167 memory: 2397 2023/03/10 16:05:52 - mmengine - INFO - Epoch(val) [1][ 460/6282] eta: 0:06:59 time: 0.0901 data_time: 0.0440 memory: 2397 2023/03/10 16:05:53 - mmengine - INFO - Epoch(val) [1][ 480/6282] eta: 0:06:54 time: 0.0581 data_time: 0.0128 memory: 2397 2023/03/10 16:05:56 - mmengine - INFO - Epoch(val) [1][ 500/6282] eta: 0:07:02 time: 0.1127 data_time: 0.0674 memory: 2397 2023/03/10 16:05:57 - mmengine - INFO - Epoch(val) [1][ 520/6282] eta: 0:06:58 time: 0.0587 data_time: 0.0122 memory: 2396 2023/03/10 16:05:58 - mmengine - INFO - Epoch(val) [1][ 540/6282] eta: 0:06:56 time: 0.0719 data_time: 0.0260 memory: 2396 2023/03/10 16:06:00 - mmengine - INFO - Epoch(val) [1][ 560/6282] eta: 0:06:52 time: 0.0598 data_time: 0.0149 memory: 2396 2023/03/10 16:06:01 - mmengine - INFO - Epoch(val) [1][ 580/6282] eta: 0:06:51 time: 0.0718 data_time: 0.0255 memory: 2396 2023/03/10 16:06:02 - mmengine - INFO - Epoch(val) [1][ 600/6282] eta: 0:06:47 time: 0.0626 data_time: 0.0163 memory: 2396 2023/03/10 16:06:04 - mmengine - INFO - Epoch(val) [1][ 620/6282] eta: 0:06:45 time: 0.0675 data_time: 0.0229 memory: 2396 2023/03/10 16:06:05 - mmengine - INFO - Epoch(val) [1][ 640/6282] eta: 0:06:42 time: 0.0600 data_time: 0.0148 memory: 2332 2023/03/10 16:06:06 - mmengine - INFO - Epoch(val) [1][ 660/6282] eta: 0:06:39 time: 0.0665 data_time: 0.0235 memory: 2332 2023/03/10 16:06:07 - mmengine - INFO - Epoch(val) [1][ 680/6282] eta: 0:06:37 time: 0.0639 data_time: 0.0213 memory: 2332 2023/03/10 16:06:09 - mmengine - INFO - Epoch(val) [1][ 700/6282] eta: 0:06:33 time: 0.0581 data_time: 0.0125 memory: 2332 2023/03/10 16:06:10 - mmengine - INFO - Epoch(val) [1][ 720/6282] eta: 0:06:32 time: 0.0706 data_time: 0.0150 memory: 2934 2023/03/10 16:06:13 - mmengine - INFO - Epoch(val) [1][ 740/6282] eta: 0:06:41 time: 0.1383 data_time: 0.0780 memory: 2934 2023/03/10 16:06:14 - mmengine - INFO - Epoch(val) [1][ 760/6282] eta: 0:06:39 time: 0.0696 data_time: 0.0090 memory: 2934 2023/03/10 16:06:16 - mmengine - INFO - Epoch(val) [1][ 780/6282] eta: 0:06:38 time: 0.0774 data_time: 0.0170 memory: 2934 2023/03/10 16:06:17 - mmengine - INFO - Epoch(val) [1][ 800/6282] eta: 0:06:37 time: 0.0753 data_time: 0.0151 memory: 2934 2023/03/10 16:06:19 - mmengine - INFO - Epoch(val) [1][ 820/6282] eta: 0:06:35 time: 0.0721 data_time: 0.0207 memory: 2934 2023/03/10 16:06:20 - mmengine - INFO - Epoch(val) [1][ 840/6282] eta: 0:06:33 time: 0.0652 data_time: 0.0204 memory: 2396 2023/03/10 16:06:23 - mmengine - INFO - Epoch(val) [1][ 860/6282] eta: 0:06:39 time: 0.1297 data_time: 0.0847 memory: 2396 2023/03/10 16:06:24 - mmengine - INFO 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eta: 0:06:04 time: 0.0634 data_time: 0.0182 memory: 2396 2023/03/10 16:06:46 - mmengine - INFO - Epoch(val) [1][1220/6282] eta: 0:06:01 time: 0.0603 data_time: 0.0148 memory: 2396 2023/03/10 16:06:49 - mmengine - INFO - Epoch(val) [1][1240/6282] eta: 0:06:03 time: 0.1151 data_time: 0.0553 memory: 2934 2023/03/10 16:06:50 - mmengine - INFO - Epoch(val) [1][1260/6282] eta: 0:06:02 time: 0.0697 data_time: 0.0094 memory: 2934 2023/03/10 16:06:52 - mmengine - INFO - Epoch(val) [1][1280/6282] eta: 0:06:01 time: 0.0742 data_time: 0.0137 memory: 2934 2023/03/10 16:06:53 - mmengine - INFO - Epoch(val) [1][1300/6282] eta: 0:05:59 time: 0.0732 data_time: 0.0124 memory: 2934 2023/03/10 16:06:55 - mmengine - INFO - Epoch(val) [1][1320/6282] eta: 0:05:58 time: 0.0751 data_time: 0.0147 memory: 2934 2023/03/10 16:06:56 - mmengine - INFO - Epoch(val) [1][1340/6282] eta: 0:05:57 time: 0.0721 data_time: 0.0116 memory: 2934 2023/03/10 16:06:58 - mmengine - INFO - Epoch(val) [1][1360/6282] eta: 0:05:55 time: 0.0757 data_time: 0.0121 memory: 2934 2023/03/10 16:06:59 - mmengine - INFO - Epoch(val) [1][1380/6282] eta: 0:05:54 time: 0.0737 data_time: 0.0133 memory: 2934 2023/03/10 16:07:01 - mmengine - INFO - Epoch(val) [1][1400/6282] eta: 0:05:53 time: 0.0797 data_time: 0.0194 memory: 2934 2023/03/10 16:07:02 - mmengine - INFO - Epoch(val) [1][1420/6282] eta: 0:05:52 time: 0.0853 data_time: 0.0248 memory: 2934 2023/03/10 16:07:04 - mmengine - INFO - Epoch(val) [1][1440/6282] eta: 0:05:51 time: 0.0665 data_time: 0.0072 memory: 2934 2023/03/10 16:07:05 - mmengine - INFO - Epoch(val) [1][1460/6282] eta: 0:05:49 time: 0.0649 data_time: 0.0051 memory: 2934 2023/03/10 16:07:06 - mmengine - INFO - Epoch(val) [1][1480/6282] eta: 0:05:47 time: 0.0638 data_time: 0.0042 memory: 2934 2023/03/10 16:07:08 - mmengine - INFO - Epoch(val) [1][1500/6282] eta: 0:05:45 time: 0.0695 data_time: 0.0088 memory: 2934 2023/03/10 16:07:09 - mmengine - INFO - Epoch(val) [1][1520/6282] eta: 0:05:43 time: 0.0696 data_time: 0.0089 memory: 3958 2023/03/10 16:07:11 - mmengine - INFO - Epoch(val) [1][1540/6282] eta: 0:05:43 time: 0.0851 data_time: 0.0022 memory: 3958 2023/03/10 16:07:12 - mmengine - INFO - Epoch(val) [1][1560/6282] eta: 0:05:42 time: 0.0851 data_time: 0.0023 memory: 3958 2023/03/10 16:07:14 - mmengine - INFO - Epoch(val) [1][1580/6282] eta: 0:05:41 time: 0.0853 data_time: 0.0023 memory: 3958 2023/03/10 16:07:16 - mmengine - INFO - Epoch(val) [1][1600/6282] eta: 0:05:41 time: 0.0851 data_time: 0.0023 memory: 3958 2023/03/10 16:07:17 - mmengine - INFO - Epoch(val) [1][1620/6282] eta: 0:05:40 time: 0.0854 data_time: 0.0023 memory: 3958 2023/03/10 16:07:19 - mmengine - INFO - Epoch(val) [1][1640/6282] eta: 0:05:38 time: 0.0616 data_time: 0.0022 memory: 2934 2023/03/10 16:07:20 - mmengine - INFO - Epoch(val) [1][1660/6282] eta: 0:05:36 time: 0.0631 data_time: 0.0025 memory: 2934 2023/03/10 16:07:21 - mmengine - INFO - Epoch(val) [1][1680/6282] eta: 0:05:34 time: 0.0671 data_time: 0.0053 memory: 2934 2023/03/10 16:07:23 - mmengine - INFO - Epoch(val) [1][1700/6282] eta: 0:05:32 time: 0.0630 data_time: 0.0023 memory: 2934 2023/03/10 16:07:24 - mmengine - INFO - Epoch(val) [1][1720/6282] eta: 0:05:30 time: 0.0639 data_time: 0.0020 memory: 2934 2023/03/10 16:07:25 - mmengine - INFO - Epoch(val) [1][1740/6282] eta: 0:05:28 time: 0.0655 data_time: 0.0063 memory: 2934 2023/03/10 16:07:27 - mmengine - INFO - Epoch(val) [1][1760/6282] eta: 0:05:27 time: 0.0666 data_time: 0.0055 memory: 2934 2023/03/10 16:07:28 - mmengine - INFO - Epoch(val) [1][1780/6282] eta: 0:05:25 time: 0.0705 data_time: 0.0112 memory: 2934 2023/03/10 16:07:29 - mmengine - INFO - Epoch(val) [1][1800/6282] eta: 0:05:23 time: 0.0682 data_time: 0.0089 memory: 2934 2023/03/10 16:07:31 - mmengine - INFO - Epoch(val) [1][1820/6282] eta: 0:05:22 time: 0.0682 data_time: 0.0084 memory: 2934 2023/03/10 16:07:32 - mmengine - INFO - Epoch(val) [1][1840/6282] eta: 0:05:21 time: 0.0792 data_time: 0.0194 memory: 2934 2023/03/10 16:07:34 - mmengine - INFO - Epoch(val) [1][1860/6282] eta: 0:05:19 time: 0.0770 data_time: 0.0163 memory: 2934 2023/03/10 16:07:35 - mmengine - INFO - Epoch(val) [1][1880/6282] eta: 0:05:18 time: 0.0753 data_time: 0.0146 memory: 2934 2023/03/10 16:07:37 - mmengine - INFO - Epoch(val) [1][1900/6282] eta: 0:05:17 time: 0.0728 data_time: 0.0124 memory: 2934 2023/03/10 16:07:38 - mmengine - INFO - Epoch(val) [1][1920/6282] eta: 0:05:15 time: 0.0760 data_time: 0.0154 memory: 2934 2023/03/10 16:07:40 - mmengine - INFO - Epoch(val) [1][1940/6282] eta: 0:05:14 time: 0.0716 data_time: 0.0157 memory: 2934 2023/03/10 16:07:41 - mmengine - INFO - Epoch(val) [1][1960/6282] eta: 0:05:12 time: 0.0609 data_time: 0.0144 memory: 2397 2023/03/10 16:07:42 - mmengine - INFO - Epoch(val) [1][1980/6282] eta: 0:05:10 time: 0.0694 data_time: 0.0247 memory: 2397 2023/03/10 16:07:43 - mmengine - INFO - Epoch(val) [1][2000/6282] eta: 0:05:08 time: 0.0590 data_time: 0.0142 memory: 2397 2023/03/10 16:07:45 - mmengine - INFO - Epoch(val) [1][2020/6282] eta: 0:05:07 time: 0.0637 data_time: 0.0171 memory: 2397 2023/03/10 16:07:46 - mmengine - INFO - Epoch(val) [1][2040/6282] eta: 0:05:05 time: 0.0608 data_time: 0.0143 memory: 2397 2023/03/10 16:07:47 - mmengine - INFO - Epoch(val) [1][2060/6282] eta: 0:05:03 time: 0.0668 data_time: 0.0214 memory: 2397 2023/03/10 16:07:48 - mmengine - INFO - Epoch(val) [1][2080/6282] eta: 0:05:01 time: 0.0588 data_time: 0.0128 memory: 2397 2023/03/10 16:07:50 - mmengine - INFO - Epoch(val) [1][2100/6282] eta: 0:04:59 time: 0.0640 data_time: 0.0193 memory: 2397 2023/03/10 16:07:51 - mmengine - INFO - Epoch(val) [1][2120/6282] eta: 0:04:57 time: 0.0582 data_time: 0.0126 memory: 2397 2023/03/10 16:07:52 - mmengine - INFO - Epoch(val) [1][2140/6282] eta: 0:04:56 time: 0.0716 data_time: 0.0248 memory: 2397 2023/03/10 16:07:54 - mmengine - INFO - Epoch(val) [1][2160/6282] eta: 0:04:54 time: 0.0620 data_time: 0.0165 memory: 2396 2023/03/10 16:07:55 - mmengine - INFO - Epoch(val) [1][2180/6282] eta: 0:04:53 time: 0.0678 data_time: 0.0232 memory: 2396 2023/03/10 16:07:56 - mmengine - INFO - Epoch(val) [1][2200/6282] eta: 0:04:51 time: 0.0621 data_time: 0.0158 memory: 2396 2023/03/10 16:07:58 - mmengine - INFO - Epoch(val) [1][2220/6282] eta: 0:04:51 time: 0.1078 data_time: 0.0267 memory: 2396 2023/03/10 16:08:00 - mmengine - INFO - Epoch(val) [1][2240/6282] eta: 0:04:49 time: 0.0617 data_time: 0.0161 memory: 2396 2023/03/10 16:08:01 - mmengine - INFO - Epoch(val) [1][2260/6282] eta: 0:04:48 time: 0.0735 data_time: 0.0252 memory: 2397 2023/03/10 16:08:02 - mmengine - INFO - Epoch(val) [1][2280/6282] eta: 0:04:46 time: 0.0610 data_time: 0.0163 memory: 2397 2023/03/10 16:08:04 - mmengine - INFO - Epoch(val) [1][2300/6282] eta: 0:04:44 time: 0.0692 data_time: 0.0230 memory: 2397 2023/03/10 16:08:05 - mmengine - INFO - Epoch(val) [1][2320/6282] eta: 0:04:42 time: 0.0612 data_time: 0.0164 memory: 2397 2023/03/10 16:08:06 - mmengine - INFO - Epoch(val) [1][2340/6282] eta: 0:04:41 time: 0.0698 data_time: 0.0226 memory: 2397 2023/03/10 16:08:08 - mmengine - INFO - Epoch(val) [1][2360/6282] eta: 0:04:39 time: 0.0620 data_time: 0.0163 memory: 2396 2023/03/10 16:08:09 - mmengine - INFO - Epoch(val) [1][2380/6282] eta: 0:04:38 time: 0.0667 data_time: 0.0205 memory: 2396 2023/03/10 16:08:10 - mmengine - INFO - Epoch(val) [1][2400/6282] eta: 0:04:36 time: 0.0651 data_time: 0.0164 memory: 2396 2023/03/10 16:08:12 - mmengine - INFO - Epoch(val) [1][2420/6282] eta: 0:04:35 time: 0.0761 data_time: 0.0316 memory: 2396 2023/03/10 16:08:13 - mmengine - INFO - Epoch(val) [1][2440/6282] eta: 0:04:33 time: 0.0623 data_time: 0.0153 memory: 2396 2023/03/10 16:08:14 - mmengine - INFO - Epoch(val) [1][2460/6282] eta: 0:04:31 time: 0.0671 data_time: 0.0081 memory: 2934 2023/03/10 16:08:16 - mmengine - INFO - Epoch(val) [1][2480/6282] eta: 0:04:30 time: 0.0632 data_time: 0.0035 memory: 2934 2023/03/10 16:08:17 - mmengine - INFO - Epoch(val) [1][2500/6282] eta: 0:04:28 time: 0.0686 data_time: 0.0091 memory: 2934 2023/03/10 16:08:18 - mmengine - INFO - Epoch(val) [1][2520/6282] eta: 0:04:27 time: 0.0688 data_time: 0.0091 memory: 2934 2023/03/10 16:08:20 - mmengine - INFO - Epoch(val) [1][2540/6282] eta: 0:04:25 time: 0.0681 data_time: 0.0069 memory: 2934 2023/03/10 16:08:21 - mmengine - INFO - Epoch(val) [1][2560/6282] eta: 0:04:24 time: 0.0661 data_time: 0.0053 memory: 2934 2023/03/10 16:08:23 - mmengine - INFO - Epoch(val) [1][2580/6282] eta: 0:04:23 time: 0.0845 data_time: 0.0240 memory: 2934 2023/03/10 16:08:24 - mmengine - INFO - Epoch(val) [1][2600/6282] eta: 0:04:21 time: 0.0695 data_time: 0.0088 memory: 2934 2023/03/10 16:08:25 - mmengine - INFO - Epoch(val) [1][2620/6282] eta: 0:04:20 time: 0.0701 data_time: 0.0094 memory: 2934 2023/03/10 16:08:27 - mmengine - INFO - Epoch(val) [1][2640/6282] eta: 0:04:18 time: 0.0710 data_time: 0.0110 memory: 2934 2023/03/10 16:08:29 - mmengine - INFO - Epoch(val) [1][2660/6282] eta: 0:04:17 time: 0.0836 data_time: 0.0024 memory: 3842 2023/03/10 16:08:30 - mmengine - INFO - Epoch(val) [1][2680/6282] eta: 0:04:16 time: 0.0837 data_time: 0.0022 memory: 3842 2023/03/10 16:08:32 - mmengine - INFO - Epoch(val) [1][2700/6282] eta: 0:04:15 time: 0.0866 data_time: 0.0025 memory: 3842 2023/03/10 16:08:34 - mmengine - INFO - Epoch(val) [1][2720/6282] eta: 0:04:14 time: 0.0847 data_time: 0.0026 memory: 3842 2023/03/10 16:08:35 - mmengine - INFO - Epoch(val) [1][2740/6282] eta: 0:04:13 time: 0.0777 data_time: 0.0023 memory: 3842 2023/03/10 16:08:36 - mmengine - INFO - Epoch(val) [1][2760/6282] eta: 0:04:11 time: 0.0469 data_time: 0.0021 memory: 2397 2023/03/10 16:08:37 - mmengine - INFO - Epoch(val) [1][2780/6282] eta: 0:04:09 time: 0.0508 data_time: 0.0057 memory: 2397 2023/03/10 16:08:39 - mmengine - INFO - Epoch(val) [1][2800/6282] eta: 0:04:07 time: 0.0662 data_time: 0.0215 memory: 2397 2023/03/10 16:08:40 - mmengine - INFO - Epoch(val) [1][2820/6282] eta: 0:04:06 time: 0.0660 data_time: 0.0213 memory: 2397 2023/03/10 16:08:41 - mmengine - INFO - Epoch(val) [1][2840/6282] eta: 0:04:04 time: 0.0695 data_time: 0.0233 memory: 2397 2023/03/10 16:08:43 - mmengine - INFO - Epoch(val) [1][2860/6282] eta: 0:04:03 time: 0.0734 data_time: 0.0182 memory: 2934 2023/03/10 16:08:44 - mmengine - INFO - Epoch(val) [1][2880/6282] eta: 0:04:01 time: 0.0644 data_time: 0.0022 memory: 2934 2023/03/10 16:08:45 - mmengine - INFO - Epoch(val) [1][2900/6282] eta: 0:04:00 time: 0.0638 data_time: 0.0032 memory: 2934 2023/03/10 16:08:46 - mmengine - INFO - Epoch(val) [1][2920/6282] eta: 0:03:58 time: 0.0611 data_time: 0.0087 memory: 2934 2023/03/10 16:08:48 - mmengine - INFO - Epoch(val) [1][2940/6282] eta: 0:03:57 time: 0.0674 data_time: 0.0168 memory: 2609 2023/03/10 16:08:49 - mmengine - INFO - Epoch(val) [1][2960/6282] eta: 0:03:55 time: 0.0619 data_time: 0.0127 memory: 2609 2023/03/10 16:08:50 - mmengine - INFO - Epoch(val) [1][2980/6282] eta: 0:03:53 time: 0.0655 data_time: 0.0153 memory: 2609 2023/03/10 16:08:52 - mmengine - INFO - Epoch(val) [1][3000/6282] eta: 0:03:52 time: 0.0643 data_time: 0.0146 memory: 2609 2023/03/10 16:08:53 - mmengine - INFO - Epoch(val) [1][3020/6282] eta: 0:03:51 time: 0.0762 data_time: 0.0126 memory: 2934 2023/03/10 16:08:54 - mmengine - INFO - Epoch(val) [1][3040/6282] eta: 0:03:49 time: 0.0613 data_time: 0.0020 memory: 2934 2023/03/10 16:08:56 - mmengine - INFO - Epoch(val) [1][3060/6282] eta: 0:03:47 time: 0.0643 data_time: 0.0048 memory: 2934 2023/03/10 16:08:57 - mmengine - INFO - Epoch(val) [1][3080/6282] eta: 0:03:46 time: 0.0640 data_time: 0.0047 memory: 2934 2023/03/10 16:08:58 - mmengine - INFO - Epoch(val) [1][3100/6282] eta: 0:03:44 time: 0.0670 data_time: 0.0118 memory: 2934 2023/03/10 16:09:00 - mmengine - INFO - Epoch(val) [1][3120/6282] eta: 0:03:43 time: 0.0643 data_time: 0.0169 memory: 2397 2023/03/10 16:09:01 - mmengine - INFO - Epoch(val) [1][3140/6282] eta: 0:03:41 time: 0.0662 data_time: 0.0216 memory: 2397 2023/03/10 16:09:02 - mmengine - INFO - Epoch(val) [1][3160/6282] eta: 0:03:40 time: 0.0718 data_time: 0.0257 memory: 2397 2023/03/10 16:09:04 - mmengine - INFO - Epoch(val) [1][3180/6282] eta: 0:03:38 time: 0.0628 data_time: 0.0172 memory: 2397 2023/03/10 16:09:05 - mmengine - INFO - Epoch(val) [1][3200/6282] eta: 0:03:37 time: 0.0689 data_time: 0.0134 memory: 2934 2023/03/10 16:09:06 - mmengine - INFO - Epoch(val) [1][3220/6282] eta: 0:03:35 time: 0.0681 data_time: 0.0072 memory: 2934 2023/03/10 16:09:08 - mmengine - INFO - Epoch(val) [1][3240/6282] eta: 0:03:34 time: 0.0705 data_time: 0.0112 memory: 2934 2023/03/10 16:09:09 - mmengine - INFO - Epoch(val) [1][3260/6282] eta: 0:03:33 time: 0.0684 data_time: 0.0088 memory: 2934 2023/03/10 16:09:10 - mmengine - INFO - Epoch(val) [1][3280/6282] eta: 0:03:31 time: 0.0661 data_time: 0.0060 memory: 2934 2023/03/10 16:09:13 - mmengine - INFO - Epoch(val) [1][3300/6282] eta: 0:03:30 time: 0.1120 data_time: 0.0492 memory: 2934 2023/03/10 16:09:14 - mmengine - INFO - Epoch(val) [1][3320/6282] eta: 0:03:29 time: 0.0646 data_time: 0.0051 memory: 2934 2023/03/10 16:09:15 - mmengine - INFO - Epoch(val) [1][3340/6282] eta: 0:03:27 time: 0.0650 data_time: 0.0056 memory: 2934 2023/03/10 16:09:17 - mmengine - INFO - Epoch(val) [1][3360/6282] eta: 0:03:26 time: 0.0637 data_time: 0.0029 memory: 2934 2023/03/10 16:09:18 - mmengine - INFO - Epoch(val) [1][3380/6282] eta: 0:03:24 time: 0.0699 data_time: 0.0106 memory: 2934 2023/03/10 16:09:19 - mmengine - INFO - Epoch(val) [1][3400/6282] eta: 0:03:23 time: 0.0605 data_time: 0.0136 memory: 2396 2023/03/10 16:09:21 - mmengine - INFO - Epoch(val) [1][3420/6282] eta: 0:03:21 time: 0.0664 data_time: 0.0203 memory: 2396 2023/03/10 16:09:22 - mmengine - INFO - Epoch(val) [1][3440/6282] eta: 0:03:20 time: 0.0646 data_time: 0.0198 memory: 2396 2023/03/10 16:09:23 - mmengine - INFO - Epoch(val) [1][3460/6282] eta: 0:03:18 time: 0.0704 data_time: 0.0235 memory: 2396 2023/03/10 16:09:24 - mmengine - INFO - Epoch(val) [1][3480/6282] eta: 0:03:17 time: 0.0628 data_time: 0.0181 memory: 2396 2023/03/10 16:09:26 - mmengine - INFO - Epoch(val) [1][3500/6282] eta: 0:03:15 time: 0.0683 data_time: 0.0234 memory: 2396 2023/03/10 16:09:27 - mmengine - INFO - Epoch(val) [1][3520/6282] eta: 0:03:14 time: 0.0658 data_time: 0.0179 memory: 2396 2023/03/10 16:09:29 - mmengine - INFO - Epoch(val) [1][3540/6282] eta: 0:03:13 time: 0.0686 data_time: 0.0222 memory: 2396 2023/03/10 16:09:30 - mmengine - INFO - Epoch(val) [1][3560/6282] eta: 0:03:11 time: 0.0625 data_time: 0.0177 memory: 2396 2023/03/10 16:09:32 - mmengine - INFO - Epoch(val) [1][3580/6282] eta: 0:03:11 time: 0.1292 data_time: 0.0770 memory: 2765 2023/03/10 16:09:34 - mmengine - INFO - Epoch(val) [1][3600/6282] eta: 0:03:09 time: 0.0612 data_time: 0.0051 memory: 2765 2023/03/10 16:09:35 - mmengine - INFO - Epoch(val) [1][3620/6282] eta: 0:03:07 time: 0.0648 data_time: 0.0104 memory: 2765 2023/03/10 16:09:36 - mmengine - INFO - Epoch(val) [1][3640/6282] eta: 0:03:06 time: 0.0644 data_time: 0.0078 memory: 2765 2023/03/10 16:09:38 - mmengine - INFO - Epoch(val) [1][3660/6282] eta: 0:03:05 time: 0.0697 data_time: 0.0120 memory: 2765 2023/03/10 16:09:39 - mmengine - INFO - Epoch(val) [1][3680/6282] eta: 0:03:03 time: 0.0611 data_time: 0.0028 memory: 2934 2023/03/10 16:09:40 - mmengine - INFO - Epoch(val) [1][3700/6282] eta: 0:03:01 time: 0.0630 data_time: 0.0033 memory: 2934 2023/03/10 16:09:41 - mmengine - INFO - Epoch(val) [1][3720/6282] eta: 0:03:00 time: 0.0682 data_time: 0.0070 memory: 2934 2023/03/10 16:09:43 - mmengine - INFO - Epoch(val) [1][3740/6282] eta: 0:02:59 time: 0.0643 data_time: 0.0046 memory: 2934 2023/03/10 16:09:44 - mmengine - INFO - Epoch(val) [1][3760/6282] eta: 0:02:57 time: 0.0661 data_time: 0.0065 memory: 2934 2023/03/10 16:09:45 - mmengine - INFO - Epoch(val) [1][3780/6282] eta: 0:02:56 time: 0.0650 data_time: 0.0044 memory: 2934 2023/03/10 16:09:47 - mmengine - INFO - Epoch(val) [1][3800/6282] eta: 0:02:54 time: 0.0648 data_time: 0.0033 memory: 2934 2023/03/10 16:09:49 - mmengine - INFO - Epoch(val) [1][3820/6282] eta: 0:02:53 time: 0.0997 data_time: 0.0388 memory: 2934 2023/03/10 16:09:50 - mmengine - INFO - Epoch(val) [1][3840/6282] eta: 0:02:52 time: 0.0664 data_time: 0.0054 memory: 2934 2023/03/10 16:09:51 - mmengine - INFO - Epoch(val) [1][3860/6282] eta: 0:02:50 time: 0.0670 data_time: 0.0049 memory: 2934 2023/03/10 16:09:53 - mmengine - INFO - Epoch(val) [1][3880/6282] eta: 0:02:49 time: 0.0706 data_time: 0.0067 memory: 2934 2023/03/10 16:09:54 - mmengine - INFO - Epoch(val) [1][3900/6282] eta: 0:02:47 time: 0.0651 data_time: 0.0044 memory: 2934 2023/03/10 16:09:55 - mmengine - INFO - Epoch(val) [1][3920/6282] eta: 0:02:46 time: 0.0676 data_time: 0.0054 memory: 2934 2023/03/10 16:09:57 - mmengine - INFO - Epoch(val) [1][3940/6282] eta: 0:02:44 time: 0.0717 data_time: 0.0119 memory: 2934 2023/03/10 16:09:59 - mmengine - INFO - Epoch(val) [1][3960/6282] eta: 0:02:43 time: 0.0873 data_time: 0.0274 memory: 2934 2023/03/10 16:10:00 - mmengine - INFO - Epoch(val) [1][3980/6282] eta: 0:02:42 time: 0.0651 data_time: 0.0055 memory: 2934 2023/03/10 16:10:01 - mmengine - INFO - Epoch(val) [1][4000/6282] eta: 0:02:40 time: 0.0645 data_time: 0.0052 memory: 2934 2023/03/10 16:10:03 - mmengine - INFO - Epoch(val) [1][4020/6282] eta: 0:02:39 time: 0.0888 data_time: 0.0286 memory: 2934 2023/03/10 16:10:04 - mmengine - INFO - Epoch(val) [1][4040/6282] eta: 0:02:38 time: 0.0696 data_time: 0.0070 memory: 3842 2023/03/10 16:10:06 - mmengine - INFO - Epoch(val) [1][4060/6282] eta: 0:02:36 time: 0.0848 data_time: 0.0020 memory: 3842 2023/03/10 16:10:08 - mmengine - INFO - Epoch(val) [1][4080/6282] eta: 0:02:35 time: 0.0831 data_time: 0.0020 memory: 3842 2023/03/10 16:10:10 - mmengine - INFO - Epoch(val) [1][4100/6282] eta: 0:02:34 time: 0.0905 data_time: 0.0023 memory: 3842 2023/03/10 16:10:11 - mmengine - INFO - Epoch(val) [1][4120/6282] eta: 0:02:33 time: 0.0853 data_time: 0.0021 memory: 3842 2023/03/10 16:10:13 - mmengine - INFO - Epoch(val) [1][4140/6282] eta: 0:02:31 time: 0.0696 data_time: 0.0021 memory: 3842 2023/03/10 16:10:14 - mmengine - INFO - Epoch(val) [1][4160/6282] eta: 0:02:30 time: 0.0471 data_time: 0.0022 memory: 2396 2023/03/10 16:10:15 - mmengine - INFO - Epoch(val) [1][4180/6282] eta: 0:02:28 time: 0.0555 data_time: 0.0083 memory: 2396 2023/03/10 16:10:16 - mmengine - INFO - Epoch(val) [1][4200/6282] eta: 0:02:27 time: 0.0680 data_time: 0.0232 memory: 2396 2023/03/10 16:10:17 - mmengine - INFO - Epoch(val) [1][4220/6282] eta: 0:02:25 time: 0.0625 data_time: 0.0177 memory: 2396 2023/03/10 16:10:19 - mmengine - INFO - Epoch(val) [1][4240/6282] eta: 0:02:24 time: 0.0703 data_time: 0.0225 memory: 2396 2023/03/10 16:10:20 - mmengine - INFO - Epoch(val) [1][4260/6282] eta: 0:02:22 time: 0.0624 data_time: 0.0177 memory: 2396 2023/03/10 16:10:22 - mmengine - INFO - Epoch(val) [1][4280/6282] eta: 0:02:21 time: 0.0811 data_time: 0.0328 memory: 2396 2023/03/10 16:10:23 - mmengine - INFO - Epoch(val) [1][4300/6282] eta: 0:02:19 time: 0.0654 data_time: 0.0189 memory: 2396 2023/03/10 16:10:24 - mmengine - INFO - Epoch(val) [1][4320/6282] eta: 0:02:18 time: 0.0700 data_time: 0.0241 memory: 2396 2023/03/10 16:10:26 - mmengine - INFO - Epoch(val) [1][4340/6282] eta: 0:02:17 time: 0.1113 data_time: 0.0665 memory: 2396 2023/03/10 16:10:28 - mmengine - INFO - Epoch(val) [1][4360/6282] eta: 0:02:16 time: 0.0713 data_time: 0.0108 memory: 2934 2023/03/10 16:10:29 - mmengine - INFO - Epoch(val) [1][4380/6282] eta: 0:02:14 time: 0.0716 data_time: 0.0109 memory: 2934 2023/03/10 16:10:31 - mmengine - INFO - Epoch(val) [1][4400/6282] eta: 0:02:13 time: 0.0638 data_time: 0.0023 memory: 2934 2023/03/10 16:10:32 - mmengine - INFO - Epoch(val) [1][4420/6282] eta: 0:02:11 time: 0.0650 data_time: 0.0059 memory: 2934 2023/03/10 16:10:33 - mmengine - INFO - Epoch(val) [1][4440/6282] eta: 0:02:10 time: 0.0676 data_time: 0.0056 memory: 3023 2023/03/10 16:10:35 - mmengine - INFO - Epoch(val) [1][4460/6282] eta: 0:02:08 time: 0.0653 data_time: 0.0019 memory: 3023 2023/03/10 16:10:36 - mmengine - INFO - Epoch(val) [1][4480/6282] eta: 0:02:07 time: 0.0661 data_time: 0.0027 memory: 3023 2023/03/10 16:10:37 - mmengine - INFO - Epoch(val) [1][4500/6282] eta: 0:02:05 time: 0.0691 data_time: 0.0071 memory: 3023 2023/03/10 16:10:39 - mmengine - INFO - Epoch(val) [1][4520/6282] eta: 0:02:04 time: 0.0684 data_time: 0.0101 memory: 3023 2023/03/10 16:10:40 - mmengine - INFO - Epoch(val) [1][4540/6282] eta: 0:02:02 time: 0.0594 data_time: 0.0137 memory: 2464 2023/03/10 16:10:41 - mmengine - INFO - Epoch(val) [1][4560/6282] eta: 0:02:01 time: 0.0683 data_time: 0.0224 memory: 2464 2023/03/10 16:10:44 - mmengine - INFO - Epoch(val) [1][4580/6282] eta: 0:02:00 time: 0.1209 data_time: 0.0754 memory: 2464 2023/03/10 16:10:45 - mmengine - INFO - Epoch(val) [1][4600/6282] eta: 0:01:59 time: 0.0712 data_time: 0.0241 memory: 2464 2023/03/10 16:10:46 - mmengine - INFO - Epoch(val) [1][4620/6282] eta: 0:01:57 time: 0.0628 data_time: 0.0134 memory: 2464 2023/03/10 16:10:48 - mmengine - INFO - Epoch(val) [1][4640/6282] eta: 0:01:56 time: 0.0713 data_time: 0.0096 memory: 3023 2023/03/10 16:10:49 - mmengine - INFO - Epoch(val) [1][4660/6282] eta: 0:01:54 time: 0.0644 data_time: 0.0023 memory: 3023 2023/03/10 16:10:50 - mmengine - INFO - Epoch(val) [1][4680/6282] eta: 0:01:53 time: 0.0679 data_time: 0.0022 memory: 3023 2023/03/10 16:10:52 - mmengine - INFO - Epoch(val) [1][4700/6282] eta: 0:01:51 time: 0.0636 data_time: 0.0021 memory: 3023 2023/03/10 16:10:53 - mmengine - INFO - Epoch(val) [1][4720/6282] eta: 0:01:50 time: 0.0616 data_time: 0.0020 memory: 3023 2023/03/10 16:10:54 - mmengine - INFO - Epoch(val) [1][4740/6282] eta: 0:01:48 time: 0.0660 data_time: 0.0147 memory: 2609 2023/03/10 16:10:55 - mmengine - INFO - Epoch(val) [1][4760/6282] eta: 0:01:47 time: 0.0620 data_time: 0.0132 memory: 2609 2023/03/10 16:10:57 - mmengine - INFO - Epoch(val) [1][4780/6282] eta: 0:01:46 time: 0.0673 data_time: 0.0135 memory: 2609 2023/03/10 16:10:58 - mmengine - INFO - Epoch(val) [1][4800/6282] eta: 0:01:44 time: 0.0602 data_time: 0.0111 memory: 2609 2023/03/10 16:10:59 - mmengine - INFO - Epoch(val) [1][4820/6282] eta: 0:01:43 time: 0.0643 data_time: 0.0103 memory: 2934 2023/03/10 16:11:01 - mmengine - INFO - Epoch(val) [1][4840/6282] eta: 0:01:41 time: 0.0643 data_time: 0.0049 memory: 2934 2023/03/10 16:11:02 - mmengine - INFO - Epoch(val) [1][4860/6282] eta: 0:01:40 time: 0.0832 data_time: 0.0208 memory: 2934 2023/03/10 16:11:04 - mmengine - INFO - Epoch(val) [1][4880/6282] eta: 0:01:38 time: 0.0636 data_time: 0.0024 memory: 2934 2023/03/10 16:11:05 - mmengine - INFO - Epoch(val) [1][4900/6282] eta: 0:01:37 time: 0.0640 data_time: 0.0023 memory: 2934 2023/03/10 16:11:06 - mmengine - INFO - Epoch(val) [1][4920/6282] eta: 0:01:35 time: 0.0658 data_time: 0.0023 memory: 2934 2023/03/10 16:11:07 - mmengine - INFO - Epoch(val) [1][4940/6282] eta: 0:01:34 time: 0.0646 data_time: 0.0033 memory: 2934 2023/03/10 16:11:09 - mmengine - INFO - Epoch(val) [1][4960/6282] eta: 0:01:33 time: 0.0639 data_time: 0.0032 memory: 2934 2023/03/10 16:11:10 - mmengine - INFO - Epoch(val) [1][4980/6282] eta: 0:01:31 time: 0.0647 data_time: 0.0054 memory: 2934 2023/03/10 16:11:11 - mmengine - INFO - Epoch(val) [1][5000/6282] eta: 0:01:30 time: 0.0664 data_time: 0.0050 memory: 2934 2023/03/10 16:11:13 - mmengine - INFO - Epoch(val) [1][5020/6282] eta: 0:01:28 time: 0.0739 data_time: 0.0227 memory: 2934 2023/03/10 16:11:14 - mmengine - INFO - Epoch(val) [1][5040/6282] eta: 0:01:27 time: 0.0637 data_time: 0.0175 memory: 2397 2023/03/10 16:11:15 - mmengine - INFO - Epoch(val) [1][5060/6282] eta: 0:01:25 time: 0.0620 data_time: 0.0149 memory: 2397 2023/03/10 16:11:17 - mmengine - INFO - Epoch(val) [1][5080/6282] eta: 0:01:24 time: 0.0660 data_time: 0.0194 memory: 2397 2023/03/10 16:11:18 - mmengine - INFO - Epoch(val) [1][5100/6282] eta: 0:01:23 time: 0.0640 data_time: 0.0176 memory: 2397 2023/03/10 16:11:19 - mmengine - INFO - Epoch(val) [1][5120/6282] eta: 0:01:21 time: 0.0672 data_time: 0.0224 memory: 2397 2023/03/10 16:11:20 - mmengine - INFO - Epoch(val) [1][5140/6282] eta: 0:01:20 time: 0.0597 data_time: 0.0109 memory: 2396 2023/03/10 16:11:22 - mmengine - INFO - Epoch(val) [1][5160/6282] eta: 0:01:18 time: 0.0798 data_time: 0.0351 memory: 2396 2023/03/10 16:11:23 - mmengine - INFO - Epoch(val) [1][5180/6282] eta: 0:01:17 time: 0.0627 data_time: 0.0180 memory: 2396 2023/03/10 16:11:25 - mmengine - INFO - Epoch(val) [1][5200/6282] eta: 0:01:16 time: 0.0970 data_time: 0.0523 memory: 2396 2023/03/10 16:11:27 - mmengine - INFO - Epoch(val) [1][5220/6282] eta: 0:01:14 time: 0.0632 data_time: 0.0184 memory: 2396 2023/03/10 16:11:28 - mmengine - INFO - Epoch(val) [1][5240/6282] eta: 0:01:13 time: 0.0670 data_time: 0.0212 memory: 2396 2023/03/10 16:11:29 - mmengine - INFO - Epoch(val) [1][5260/6282] eta: 0:01:11 time: 0.0665 data_time: 0.0198 memory: 2396 2023/03/10 16:11:30 - mmengine - INFO - Epoch(val) [1][5280/6282] eta: 0:01:10 time: 0.0616 data_time: 0.0150 memory: 2396 2023/03/10 16:11:32 - mmengine - INFO - Epoch(val) [1][5300/6282] eta: 0:01:08 time: 0.0675 data_time: 0.0209 memory: 2396 2023/03/10 16:11:33 - mmengine - INFO - Epoch(val) [1][5320/6282] eta: 0:01:07 time: 0.0674 data_time: 0.0195 memory: 2396 2023/03/10 16:11:34 - mmengine - INFO - Epoch(val) [1][5340/6282] eta: 0:01:06 time: 0.0677 data_time: 0.0227 memory: 2396 2023/03/10 16:11:36 - mmengine - INFO - Epoch(val) [1][5360/6282] eta: 0:01:04 time: 0.0608 data_time: 0.0149 memory: 2396 2023/03/10 16:11:38 - mmengine - INFO - Epoch(val) [1][5380/6282] eta: 0:01:03 time: 0.1118 data_time: 0.0655 memory: 2396 2023/03/10 16:11:39 - mmengine - INFO - Epoch(val) [1][5400/6282] eta: 0:01:02 time: 0.0607 data_time: 0.0139 memory: 2396 2023/03/10 16:11:40 - mmengine - INFO - Epoch(val) [1][5420/6282] eta: 0:01:00 time: 0.0654 data_time: 0.0195 memory: 2396 2023/03/10 16:11:42 - mmengine - INFO - Epoch(val) [1][5440/6282] eta: 0:00:59 time: 0.0725 data_time: 0.0263 memory: 2396 2023/03/10 16:11:43 - mmengine - INFO - Epoch(val) [1][5460/6282] eta: 0:00:57 time: 0.0700 data_time: 0.0254 memory: 2396 2023/03/10 16:11:45 - mmengine - INFO - Epoch(val) [1][5480/6282] eta: 0:00:56 time: 0.0636 data_time: 0.0189 memory: 2396 2023/03/10 16:11:46 - mmengine - INFO - Epoch(val) [1][5500/6282] eta: 0:00:54 time: 0.0668 data_time: 0.0222 memory: 2396 2023/03/10 16:11:47 - mmengine - INFO - Epoch(val) [1][5520/6282] eta: 0:00:53 time: 0.0635 data_time: 0.0154 memory: 2608 2023/03/10 16:11:49 - mmengine - INFO - Epoch(val) [1][5540/6282] eta: 0:00:52 time: 0.0674 data_time: 0.0139 memory: 2608 2023/03/10 16:11:51 - mmengine - INFO - Epoch(val) [1][5560/6282] eta: 0:00:50 time: 0.1139 data_time: 0.0240 memory: 2608 2023/03/10 16:11:52 - mmengine - INFO - Epoch(val) [1][5580/6282] eta: 0:00:49 time: 0.0708 data_time: 0.0219 memory: 2608 2023/03/10 16:11:53 - mmengine - INFO - Epoch(val) [1][5600/6282] eta: 0:00:47 time: 0.0618 data_time: 0.0126 memory: 2608 2023/03/10 16:11:55 - mmengine - INFO - Epoch(val) [1][5620/6282] eta: 0:00:46 time: 0.0667 data_time: 0.0205 memory: 2608 2023/03/10 16:11:56 - mmengine - INFO - Epoch(val) [1][5640/6282] eta: 0:00:45 time: 0.0590 data_time: 0.0142 memory: 2396 2023/03/10 16:11:58 - mmengine - INFO - Epoch(val) [1][5660/6282] eta: 0:00:43 time: 0.0757 data_time: 0.0302 memory: 2396 2023/03/10 16:11:59 - mmengine - INFO - Epoch(val) [1][5680/6282] eta: 0:00:42 time: 0.0576 data_time: 0.0119 memory: 2396 2023/03/10 16:12:00 - mmengine - INFO - Epoch(val) [1][5700/6282] eta: 0:00:40 time: 0.0657 data_time: 0.0211 memory: 2396 2023/03/10 16:12:01 - mmengine - INFO - Epoch(val) [1][5720/6282] eta: 0:00:39 time: 0.0654 data_time: 0.0170 memory: 2686 2023/03/10 16:12:03 - mmengine - INFO - Epoch(val) [1][5740/6282] eta: 0:00:38 time: 0.0856 data_time: 0.0309 memory: 2686 2023/03/10 16:12:04 - mmengine - INFO - Epoch(val) [1][5760/6282] eta: 0:00:36 time: 0.0626 data_time: 0.0097 memory: 2686 2023/03/10 16:12:05 - mmengine - INFO - Epoch(val) [1][5780/6282] eta: 0:00:35 time: 0.0618 data_time: 0.0079 memory: 2686 2023/03/10 16:12:07 - mmengine - INFO - Epoch(val) [1][5800/6282] eta: 0:00:33 time: 0.0613 data_time: 0.0072 memory: 2686 2023/03/10 16:12:09 - mmengine - INFO - Epoch(val) [1][5820/6282] eta: 0:00:32 time: 0.1117 data_time: 0.0603 memory: 2686 2023/03/10 16:12:10 - mmengine - INFO - Epoch(val) [1][5840/6282] eta: 0:00:31 time: 0.0644 data_time: 0.0140 memory: 2608 2023/03/10 16:12:12 - mmengine - INFO - Epoch(val) [1][5860/6282] eta: 0:00:29 time: 0.0731 data_time: 0.0222 memory: 2608 2023/03/10 16:12:13 - mmengine - INFO - Epoch(val) [1][5880/6282] eta: 0:00:28 time: 0.0658 data_time: 0.0147 memory: 2608 2023/03/10 16:12:14 - mmengine - INFO - Epoch(val) [1][5900/6282] eta: 0:00:26 time: 0.0687 data_time: 0.0195 memory: 2608 2023/03/10 16:12:16 - mmengine - INFO - Epoch(val) [1][5920/6282] eta: 0:00:25 time: 0.0598 data_time: 0.0115 memory: 2608 2023/03/10 16:12:17 - mmengine - INFO - Epoch(val) [1][5940/6282] eta: 0:00:24 time: 0.0694 data_time: 0.0227 memory: 2396 2023/03/10 16:12:18 - mmengine - INFO - Epoch(val) [1][5960/6282] eta: 0:00:22 time: 0.0615 data_time: 0.0157 memory: 2396 2023/03/10 16:12:20 - mmengine - INFO - Epoch(val) [1][5980/6282] eta: 0:00:21 time: 0.0654 data_time: 0.0192 memory: 2396 2023/03/10 16:12:21 - mmengine - INFO - Epoch(val) [1][6000/6282] eta: 0:00:19 time: 0.0632 data_time: 0.0075 memory: 2934 2023/03/10 16:12:22 - mmengine - INFO - Epoch(val) [1][6020/6282] eta: 0:00:18 time: 0.0814 data_time: 0.0159 memory: 2934 2023/03/10 16:12:24 - mmengine - INFO - Epoch(val) [1][6040/6282] eta: 0:00:16 time: 0.0631 data_time: 0.0020 memory: 2934 2023/03/10 16:12:26 - mmengine - INFO - Epoch(val) [1][6060/6282] eta: 0:00:15 time: 0.0930 data_time: 0.0027 memory: 2934 2023/03/10 16:12:27 - mmengine - INFO - Epoch(val) [1][6080/6282] eta: 0:00:14 time: 0.0628 data_time: 0.0019 memory: 2934 2023/03/10 16:12:28 - mmengine - INFO - Epoch(val) [1][6100/6282] eta: 0:00:12 time: 0.0686 data_time: 0.0069 memory: 2934 2023/03/10 16:12:29 - mmengine - INFO - Epoch(val) [1][6120/6282] eta: 0:00:11 time: 0.0638 data_time: 0.0026 memory: 2934 2023/03/10 16:12:31 - mmengine - INFO - Epoch(val) [1][6140/6282] eta: 0:00:09 time: 0.0650 data_time: 0.0053 memory: 2934 2023/03/10 16:12:32 - mmengine - INFO - Epoch(val) [1][6160/6282] eta: 0:00:08 time: 0.0708 data_time: 0.0086 memory: 2934 2023/03/10 16:12:34 - mmengine - INFO - Epoch(val) [1][6180/6282] eta: 0:00:07 time: 0.0705 data_time: 0.0111 memory: 2934 2023/03/10 16:12:35 - mmengine - INFO - Epoch(val) [1][6200/6282] eta: 0:00:05 time: 0.0647 data_time: 0.0052 memory: 2934 2023/03/10 16:12:36 - mmengine - INFO - Epoch(val) [1][6220/6282] eta: 0:00:04 time: 0.0634 data_time: 0.0025 memory: 2934 2023/03/10 16:12:37 - mmengine - INFO - Epoch(val) [1][6240/6282] eta: 0:00:02 time: 0.0640 data_time: 0.0027 memory: 2934 2023/03/10 16:12:39 - mmengine - INFO - Epoch(val) [1][6260/6282] eta: 0:00:01 time: 0.0632 data_time: 0.0022 memory: 2934 2023/03/10 16:12:40 - mmengine - INFO - Epoch(val) [1][6280/6282] eta: 0:00:00 time: 0.0605 data_time: 0.0015 memory: 2934 2023/03/10 16:17:39 - mmengine - INFO - Epoch(val) [1][6282/6282] mAP/mAP@0.5IOU: 0.2069 2023/03/10 16:17:42 - mmengine - INFO - The best checkpoint with 0.2069 mAP/mAP@0.5IOU at 1 epoch is saved to best_mAP/mAP@0.5IOU_epoch_1.pth. 2023/03/10 16:18:01 - mmengine - INFO - Epoch(train) [2][ 20/4451] lr: 8.3381e-07 eta: 15:44:40 time: 0.9108 data_time: 0.4903 memory: 51970 grad_norm: 0.1614 loss: 0.1064 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5635 recall@top3: 0.7897 prec@top3: 0.6508 recall@top5: 0.9286 prec@top5: 0.4762 loss_action_cls: 0.1064 2023/03/10 16:18:14 - mmengine - INFO - Epoch(train) [2][ 40/4451] lr: 8.3621e-07 eta: 15:44:30 time: 0.6780 data_time: 0.2545 memory: 51970 grad_norm: 0.1461 loss: 0.0949 recall@thr=0.5: 0.4844 prec@thr=0.5: 0.6458 recall@top3: 0.7865 prec@top3: 0.6667 recall@top5: 0.9115 prec@top5: 0.4750 loss_action_cls: 0.0949 2023/03/10 16:18:29 - mmengine - INFO - Epoch(train) [2][ 60/4451] lr: 8.3861e-07 eta: 15:44:39 time: 0.7309 data_time: 0.2967 memory: 51970 grad_norm: 0.1566 loss: 0.0918 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.7937 recall@top3: 0.7952 prec@top3: 0.7460 recall@top5: 0.8937 prec@top5: 0.5048 loss_action_cls: 0.0918 2023/03/10 16:18:42 - mmengine - INFO - Epoch(train) [2][ 80/4451] lr: 8.4102e-07 eta: 15:44:21 time: 0.6596 data_time: 0.1790 memory: 51970 grad_norm: 0.1646 loss: 0.0928 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7500 recall@top3: 0.8667 prec@top3: 0.6222 recall@top5: 0.8889 prec@top5: 0.3867 loss_action_cls: 0.0928 2023/03/10 16:18:57 - mmengine - INFO - Epoch(train) [2][ 100/4451] lr: 8.4342e-07 eta: 15:44:38 time: 0.7502 data_time: 0.1843 memory: 51970 grad_norm: 0.1615 loss: 0.0948 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6667 recall@top3: 0.7143 prec@top3: 0.4127 recall@top5: 0.7619 prec@top5: 0.2667 loss_action_cls: 0.0948 2023/03/10 16:19:10 - mmengine - INFO - Epoch(train) [2][ 120/4451] lr: 8.4582e-07 eta: 15:44:14 time: 0.6437 data_time: 0.0358 memory: 51970 grad_norm: 0.1516 loss: 0.0861 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7059 recall@top3: 0.8235 prec@top3: 0.6667 recall@top5: 0.9314 prec@top5: 0.4588 loss_action_cls: 0.0861 2023/03/10 16:19:25 - mmengine - INFO - Epoch(train) [2][ 140/4451] lr: 8.4822e-07 eta: 15:44:41 time: 0.7802 data_time: 0.0130 memory: 51970 grad_norm: 0.1558 loss: 0.0867 recall@thr=0.5: 0.5072 prec@thr=0.5: 0.6449 recall@top3: 0.7500 prec@top3: 0.4928 recall@top5: 0.9130 prec@top5: 0.3826 loss_action_cls: 0.0867 2023/03/10 16:19:39 - mmengine - INFO - Epoch(train) [2][ 160/4451] lr: 8.5062e-07 eta: 15:44:26 time: 0.6680 data_time: 0.0514 memory: 51970 grad_norm: 0.1619 loss: 0.0981 recall@thr=0.5: 0.6184 prec@thr=0.5: 0.7193 recall@top3: 0.6886 prec@top3: 0.6316 recall@top5: 0.8509 prec@top5: 0.4737 loss_action_cls: 0.0981 2023/03/10 16:19:56 - mmengine - INFO - Epoch(train) [2][ 180/4451] lr: 8.5303e-07 eta: 15:45:15 time: 0.8417 data_time: 0.0311 memory: 51970 grad_norm: 0.1685 loss: 0.0895 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.7841 recall@top3: 0.8258 prec@top3: 0.7576 recall@top5: 0.9167 prec@top5: 0.5091 loss_action_cls: 0.0895 2023/03/10 16:20:08 - mmengine - INFO - Epoch(train) [2][ 200/4451] lr: 8.5543e-07 eta: 15:44:43 time: 0.6204 data_time: 0.0115 memory: 51970 grad_norm: 0.1548 loss: 0.0932 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.7105 recall@top3: 0.8684 prec@top3: 0.6316 recall@top5: 0.9561 prec@top5: 0.4316 loss_action_cls: 0.0932 2023/03/10 16:20:22 - mmengine - INFO - Epoch(train) [2][ 220/4451] lr: 8.5783e-07 eta: 15:44:42 time: 0.7080 data_time: 0.0132 memory: 51970 grad_norm: 0.1545 loss: 0.1109 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.6389 recall@top3: 0.7685 prec@top3: 0.5556 recall@top5: 0.8056 prec@top5: 0.3556 loss_action_cls: 0.1109 2023/03/10 16:20:36 - mmengine - INFO - Epoch(train) [2][ 240/4451] lr: 8.6023e-07 eta: 15:44:39 time: 0.6999 data_time: 0.1169 memory: 51970 grad_norm: 0.1536 loss: 0.0828 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.6522 recall@top3: 0.8188 prec@top3: 0.6377 recall@top5: 0.8696 prec@top5: 0.4174 loss_action_cls: 0.0828 2023/03/10 16:20:51 - mmengine - INFO - Epoch(train) [2][ 260/4451] lr: 8.6263e-07 eta: 15:44:55 time: 0.7559 data_time: 0.0237 memory: 51970 grad_norm: 0.1530 loss: 0.0800 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.7750 recall@top3: 0.7833 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.4200 loss_action_cls: 0.0800 2023/03/10 16:21:05 - mmengine - INFO - Epoch(train) [2][ 280/4451] lr: 8.6504e-07 eta: 15:44:45 time: 0.6811 data_time: 0.0155 memory: 51970 grad_norm: 0.1567 loss: 0.1046 recall@thr=0.5: 0.4921 prec@thr=0.5: 0.6111 recall@top3: 0.5952 prec@top3: 0.4444 recall@top5: 0.7063 prec@top5: 0.3333 loss_action_cls: 0.1046 2023/03/10 16:21:19 - mmengine - INFO - Epoch(train) [2][ 300/4451] lr: 8.6744e-07 eta: 15:44:45 time: 0.7113 data_time: 0.0121 memory: 51970 grad_norm: 0.1524 loss: 0.0828 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.7424 recall@top3: 0.8409 prec@top3: 0.7576 recall@top5: 0.9205 prec@top5: 0.5091 loss_action_cls: 0.0828 2023/03/10 16:21:34 - mmengine - INFO - Epoch(train) [2][ 320/4451] lr: 8.6984e-07 eta: 15:45:01 time: 0.7541 data_time: 0.0115 memory: 51970 grad_norm: 0.1579 loss: 0.0825 recall@thr=0.5: 0.6898 prec@thr=0.5: 0.7500 recall@top3: 0.7500 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.4222 loss_action_cls: 0.0825 2023/03/10 16:21:51 - mmengine - INFO - Epoch(train) [2][ 340/4451] lr: 8.7224e-07 eta: 15:45:37 time: 0.8149 data_time: 0.0120 memory: 51970 grad_norm: 0.1607 loss: 0.0827 recall@thr=0.5: 0.6400 prec@thr=0.5: 0.8200 recall@top3: 0.7200 prec@top3: 0.6267 recall@top5: 0.8267 prec@top5: 0.4400 loss_action_cls: 0.0827 2023/03/10 16:22:04 - mmengine - INFO - Epoch(train) [2][ 360/4451] lr: 8.7464e-07 eta: 15:45:17 time: 0.6538 data_time: 0.0122 memory: 51970 grad_norm: 0.1566 loss: 0.0830 recall@thr=0.5: 0.5365 prec@thr=0.5: 0.8109 recall@top3: 0.7474 prec@top3: 0.6410 recall@top5: 0.9154 prec@top5: 0.4923 loss_action_cls: 0.0830 2023/03/10 16:22:20 - mmengine - INFO - Epoch(train) [2][ 380/4451] lr: 8.7705e-07 eta: 15:45:49 time: 0.8053 data_time: 0.0133 memory: 51970 grad_norm: 0.1587 loss: 0.0968 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.6789 recall@top3: 0.9561 prec@top3: 0.5965 recall@top5: 0.9825 prec@top5: 0.3789 loss_action_cls: 0.0968 2023/03/10 16:22:33 - mmengine - INFO - Epoch(train) [2][ 400/4451] lr: 8.7945e-07 eta: 15:45:32 time: 0.6626 data_time: 0.0115 memory: 51970 grad_norm: 0.1503 loss: 0.1054 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7857 recall@top3: 0.9286 prec@top3: 0.6905 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.1054 2023/03/10 16:22:48 - mmengine - INFO - Epoch(train) [2][ 420/4451] lr: 8.8185e-07 eta: 15:45:48 time: 0.7604 data_time: 0.0114 memory: 51970 grad_norm: 0.1572 loss: 0.0889 recall@thr=0.5: 0.4737 prec@thr=0.5: 0.5702 recall@top3: 0.6667 prec@top3: 0.4737 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.0889 2023/03/10 16:23:01 - mmengine - INFO - Epoch(train) [2][ 440/4451] lr: 8.8425e-07 eta: 15:45:20 time: 0.6326 data_time: 0.0128 memory: 51970 grad_norm: 0.1559 loss: 0.0991 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.7538 recall@top3: 0.8030 prec@top3: 0.6970 recall@top5: 0.9470 prec@top5: 0.4909 loss_action_cls: 0.0991 2023/03/10 16:23:17 - mmengine - INFO - Epoch(train) [2][ 460/4451] lr: 8.8665e-07 eta: 15:45:50 time: 0.8008 data_time: 0.0121 memory: 51970 grad_norm: 0.1575 loss: 0.0890 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.9015 recall@top3: 0.7992 prec@top3: 0.7424 recall@top5: 0.9811 prec@top5: 0.5727 loss_action_cls: 0.0890 2023/03/10 16:23:31 - mmengine - INFO - Epoch(train) [2][ 480/4451] lr: 8.8906e-07 eta: 15:45:48 time: 0.7088 data_time: 0.0115 memory: 51970 grad_norm: 0.1650 loss: 0.0928 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.6905 recall@top3: 0.8095 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.4714 loss_action_cls: 0.0928 2023/03/10 16:23:47 - mmengine - INFO - Epoch(train) [2][ 500/4451] lr: 8.9146e-07 eta: 15:46:08 time: 0.7737 data_time: 0.0125 memory: 51970 grad_norm: 0.1669 loss: 0.0818 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.5238 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.9405 prec@top5: 0.4286 loss_action_cls: 0.0818 2023/03/10 16:24:02 - mmengine - INFO - Epoch(train) [2][ 520/4451] lr: 8.9386e-07 eta: 15:46:26 time: 0.7668 data_time: 0.0111 memory: 51970 grad_norm: 0.1583 loss: 0.1034 recall@thr=0.5: 0.6227 prec@thr=0.5: 0.7963 recall@top3: 0.8079 prec@top3: 0.6852 recall@top5: 0.8704 prec@top5: 0.4556 loss_action_cls: 0.1034 2023/03/10 16:24:16 - mmengine - INFO - Epoch(train) [2][ 540/4451] lr: 8.9626e-07 eta: 15:46:15 time: 0.6853 data_time: 0.0122 memory: 51970 grad_norm: 0.1622 loss: 0.0795 recall@thr=0.5: 0.5781 prec@thr=0.5: 0.6250 recall@top3: 0.8438 prec@top3: 0.6458 recall@top5: 0.9062 prec@top5: 0.4375 loss_action_cls: 0.0795 2023/03/10 16:24:21 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 16:24:30 - mmengine - INFO - Epoch(train) [2][ 560/4451] lr: 8.9866e-07 eta: 15:46:10 time: 0.6992 data_time: 0.0120 memory: 51970 grad_norm: 0.1572 loss: 0.1005 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.5500 recall@top3: 0.6667 prec@top3: 0.4889 recall@top5: 0.9667 prec@top5: 0.4267 loss_action_cls: 0.1005 2023/03/10 16:24:44 - mmengine - INFO - Epoch(train) [2][ 580/4451] lr: 9.0107e-07 eta: 15:46:07 time: 0.7079 data_time: 0.0109 memory: 51970 grad_norm: 0.1525 loss: 0.0749 recall@thr=0.5: 0.5106 prec@thr=0.5: 0.7273 recall@top3: 0.7167 prec@top3: 0.5909 recall@top5: 0.9227 prec@top5: 0.4455 loss_action_cls: 0.0749 2023/03/10 16:24:58 - mmengine - INFO - Epoch(train) [2][ 600/4451] lr: 9.0347e-07 eta: 15:46:05 time: 0.7099 data_time: 0.0119 memory: 51970 grad_norm: 0.1605 loss: 0.1098 recall@thr=0.5: 0.8373 prec@thr=0.5: 0.8214 recall@top3: 0.8929 prec@top3: 0.6825 recall@top5: 0.9524 prec@top5: 0.4476 loss_action_cls: 0.1098 2023/03/10 16:25:13 - mmengine - INFO - Epoch(train) [2][ 620/4451] lr: 9.0587e-07 eta: 15:46:23 time: 0.7706 data_time: 0.0122 memory: 51970 grad_norm: 0.1504 loss: 0.0821 recall@thr=0.5: 0.5894 prec@thr=0.5: 0.5439 recall@top3: 0.6939 prec@top3: 0.5303 recall@top5: 0.9909 prec@top5: 0.4636 loss_action_cls: 0.0821 2023/03/10 16:25:29 - mmengine - INFO - Epoch(train) [2][ 640/4451] lr: 9.0827e-07 eta: 15:46:43 time: 0.7803 data_time: 0.0116 memory: 51970 grad_norm: 0.1668 loss: 0.0867 recall@thr=0.5: 0.4919 prec@thr=0.5: 0.6237 recall@top3: 0.7392 prec@top3: 0.5161 recall@top5: 0.9355 prec@top5: 0.4129 loss_action_cls: 0.0867 2023/03/10 16:25:44 - mmengine - INFO - Epoch(train) [2][ 660/4451] lr: 9.1067e-07 eta: 15:46:51 time: 0.7400 data_time: 0.0121 memory: 51970 grad_norm: 0.1571 loss: 0.1065 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.8056 recall@top3: 0.7222 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.1065 2023/03/10 16:25:56 - mmengine - INFO - Epoch(train) [2][ 680/4451] lr: 9.1308e-07 eta: 15:46:23 time: 0.6357 data_time: 0.0123 memory: 51970 grad_norm: 0.1528 loss: 0.0953 recall@thr=0.5: 0.4015 prec@thr=0.5: 0.4848 recall@top3: 0.6629 prec@top3: 0.5455 recall@top5: 0.7614 prec@top5: 0.3727 loss_action_cls: 0.0953 2023/03/10 16:26:11 - mmengine - INFO - Epoch(train) [2][ 700/4451] lr: 9.1548e-07 eta: 15:46:21 time: 0.7093 data_time: 0.0118 memory: 51970 grad_norm: 0.1709 loss: 0.0972 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.9444 recall@top3: 0.8544 prec@top3: 0.8889 recall@top5: 0.9700 prec@top5: 0.6267 loss_action_cls: 0.0972 2023/03/10 16:26:25 - mmengine - INFO - Epoch(train) [2][ 720/4451] lr: 9.1788e-07 eta: 15:46:21 time: 0.7211 data_time: 0.0121 memory: 51970 grad_norm: 0.1572 loss: 0.0902 recall@thr=0.5: 0.3816 prec@thr=0.5: 0.5263 recall@top3: 0.5307 prec@top3: 0.4211 recall@top5: 0.7061 prec@top5: 0.3474 loss_action_cls: 0.0902 2023/03/10 16:26:39 - mmengine - INFO - Epoch(train) [2][ 740/4451] lr: 9.2028e-07 eta: 15:46:16 time: 0.7029 data_time: 0.0118 memory: 51970 grad_norm: 0.1609 loss: 0.0780 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7451 recall@top3: 0.8529 prec@top3: 0.6275 recall@top5: 0.9118 prec@top5: 0.4000 loss_action_cls: 0.0780 2023/03/10 16:26:53 - mmengine - INFO - Epoch(train) [2][ 760/4451] lr: 9.2268e-07 eta: 15:46:16 time: 0.7190 data_time: 0.0121 memory: 51970 grad_norm: 0.1519 loss: 0.0861 recall@thr=0.5: 0.6632 prec@thr=0.5: 0.7014 recall@top3: 0.7667 prec@top3: 0.5694 recall@top5: 0.8965 prec@top5: 0.4250 loss_action_cls: 0.0861 2023/03/10 16:27:07 - mmengine - INFO - Epoch(train) [2][ 780/4451] lr: 9.2509e-07 eta: 15:45:58 time: 0.6652 data_time: 0.0115 memory: 51970 grad_norm: 0.1502 loss: 0.0845 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6842 recall@top3: 0.8772 prec@top3: 0.5789 recall@top5: 0.9474 prec@top5: 0.3789 loss_action_cls: 0.0845 2023/03/10 16:27:21 - mmengine - INFO - Epoch(train) [2][ 800/4451] lr: 9.2749e-07 eta: 15:45:53 time: 0.7015 data_time: 0.0120 memory: 51970 grad_norm: 0.1612 loss: 0.0878 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.6417 recall@top3: 0.7000 prec@top3: 0.5500 recall@top5: 0.8708 prec@top5: 0.4200 loss_action_cls: 0.0878 2023/03/10 16:27:34 - mmengine - INFO - Epoch(train) [2][ 820/4451] lr: 9.2989e-07 eta: 15:45:40 time: 0.6790 data_time: 0.0158 memory: 51970 grad_norm: 0.1617 loss: 0.0868 recall@thr=0.5: 0.2600 prec@thr=0.5: 0.3917 recall@top3: 0.6983 prec@top3: 0.4500 recall@top5: 0.8633 prec@top5: 0.3700 loss_action_cls: 0.0868 2023/03/10 16:27:49 - mmengine - INFO - Epoch(train) [2][ 840/4451] lr: 9.3229e-07 eta: 15:45:44 time: 0.7345 data_time: 0.0120 memory: 51970 grad_norm: 0.1610 loss: 0.0792 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7826 recall@top3: 0.7899 prec@top3: 0.6522 recall@top5: 0.8261 prec@top5: 0.4087 loss_action_cls: 0.0792 2023/03/10 16:28:03 - mmengine - INFO - Epoch(train) [2][ 860/4451] lr: 9.3469e-07 eta: 15:45:42 time: 0.7137 data_time: 0.0142 memory: 51970 grad_norm: 0.1511 loss: 0.0811 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.6176 recall@top3: 0.7059 prec@top3: 0.5294 recall@top5: 0.7941 prec@top5: 0.3647 loss_action_cls: 0.0811 2023/03/10 16:28:17 - mmengine - INFO - Epoch(train) [2][ 880/4451] lr: 9.3710e-07 eta: 15:45:24 time: 0.6643 data_time: 0.0119 memory: 51970 grad_norm: 0.1583 loss: 0.0915 recall@thr=0.5: 0.4810 prec@thr=0.5: 0.5060 recall@top3: 0.6143 prec@top3: 0.5000 recall@top5: 0.7577 prec@top5: 0.3857 loss_action_cls: 0.0915 2023/03/10 16:28:32 - mmengine - INFO - Epoch(train) [2][ 900/4451] lr: 9.3950e-07 eta: 15:45:35 time: 0.7559 data_time: 0.0123 memory: 51970 grad_norm: 0.1641 loss: 0.0809 recall@thr=0.5: 0.3229 prec@thr=0.5: 0.3437 recall@top3: 0.5729 prec@top3: 0.3958 recall@top5: 0.6771 prec@top5: 0.2750 loss_action_cls: 0.0809 2023/03/10 16:28:46 - mmengine - INFO - Epoch(train) [2][ 920/4451] lr: 9.4190e-07 eta: 15:45:25 time: 0.6908 data_time: 0.0116 memory: 51970 grad_norm: 0.1516 loss: 0.0859 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6667 recall@top3: 0.7222 prec@top3: 0.5741 recall@top5: 0.8472 prec@top5: 0.4222 loss_action_cls: 0.0859 2023/03/10 16:28:59 - mmengine - INFO - Epoch(train) [2][ 940/4451] lr: 9.4430e-07 eta: 15:45:15 time: 0.6876 data_time: 0.0828 memory: 51970 grad_norm: 0.1600 loss: 0.1061 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.7193 recall@top3: 0.6711 prec@top3: 0.6316 recall@top5: 0.9167 prec@top5: 0.4947 loss_action_cls: 0.1061 2023/03/10 16:29:14 - mmengine - INFO - Epoch(train) [2][ 960/4451] lr: 9.4670e-07 eta: 15:45:14 time: 0.7200 data_time: 0.0657 memory: 51970 grad_norm: 0.1630 loss: 0.0860 recall@thr=0.5: 0.6873 prec@thr=0.5: 0.7647 recall@top3: 0.7814 prec@top3: 0.7255 recall@top5: 0.9029 prec@top5: 0.5294 loss_action_cls: 0.0860 2023/03/10 16:29:27 - mmengine - INFO - Epoch(train) [2][ 980/4451] lr: 9.4911e-07 eta: 15:45:00 time: 0.6768 data_time: 0.0833 memory: 51970 grad_norm: 0.1617 loss: 0.0863 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6474 recall@top3: 0.7949 prec@top3: 0.6538 recall@top5: 0.9199 prec@top5: 0.4615 loss_action_cls: 0.0863 2023/03/10 16:29:43 - mmengine - INFO - Epoch(train) [2][1000/4451] lr: 9.5151e-07 eta: 15:45:19 time: 0.7858 data_time: 0.0529 memory: 51970 grad_norm: 0.1597 loss: 0.0839 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6435 recall@top3: 0.7241 prec@top3: 0.6481 recall@top5: 0.8333 prec@top5: 0.4778 loss_action_cls: 0.0839 2023/03/10 16:29:56 - mmengine - INFO - Epoch(train) [2][1020/4451] lr: 9.5391e-07 eta: 15:44:56 time: 0.6469 data_time: 0.0112 memory: 51970 grad_norm: 0.1527 loss: 0.0882 recall@thr=0.5: 0.5327 prec@thr=0.5: 0.5982 recall@top3: 0.6815 prec@top3: 0.4881 recall@top5: 0.8810 prec@top5: 0.3714 loss_action_cls: 0.0882 2023/03/10 16:30:09 - mmengine - INFO - Epoch(train) [2][1040/4451] lr: 9.5631e-07 eta: 15:44:41 time: 0.6732 data_time: 0.0133 memory: 51970 grad_norm: 0.1569 loss: 0.0918 recall@thr=0.5: 0.4000 prec@thr=0.5: 0.4778 recall@top3: 0.7444 prec@top3: 0.4889 recall@top5: 0.8778 prec@top5: 0.3467 loss_action_cls: 0.0918 2023/03/10 16:30:23 - mmengine - INFO - Epoch(train) [2][1060/4451] lr: 9.5871e-07 eta: 15:44:35 time: 0.7033 data_time: 0.0564 memory: 51970 grad_norm: 0.1531 loss: 0.1011 recall@thr=0.5: 0.4551 prec@thr=0.5: 0.6410 recall@top3: 0.6218 prec@top3: 0.4231 recall@top5: 0.7756 prec@top5: 0.3154 loss_action_cls: 0.1011 2023/03/10 16:30:37 - mmengine - INFO - Epoch(train) [2][1080/4451] lr: 9.6112e-07 eta: 15:44:16 time: 0.6628 data_time: 0.1494 memory: 51970 grad_norm: 0.1539 loss: 0.0874 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7235 recall@top3: 0.8788 prec@top3: 0.5758 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0874 2023/03/10 16:30:51 - mmengine - INFO - Epoch(train) [2][1100/4451] lr: 9.6352e-07 eta: 15:44:19 time: 0.7320 data_time: 0.2087 memory: 51970 grad_norm: 0.1516 loss: 0.0890 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.7273 recall@top3: 0.8106 prec@top3: 0.6970 recall@top5: 0.9167 prec@top5: 0.4636 loss_action_cls: 0.0890 2023/03/10 16:31:06 - mmengine - INFO - Epoch(train) [2][1120/4451] lr: 9.6592e-07 eta: 15:44:21 time: 0.7321 data_time: 0.2849 memory: 51970 grad_norm: 0.1547 loss: 0.0857 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6611 recall@top3: 0.9000 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.3867 loss_action_cls: 0.0857 2023/03/10 16:31:21 - mmengine - INFO - Epoch(train) [2][1140/4451] lr: 9.6832e-07 eta: 15:44:31 time: 0.7560 data_time: 0.2422 memory: 51970 grad_norm: 0.1559 loss: 0.0888 recall@thr=0.5: 0.3462 prec@thr=0.5: 0.4615 recall@top3: 0.6795 prec@top3: 0.3846 recall@top5: 0.7436 prec@top5: 0.2615 loss_action_cls: 0.0888 2023/03/10 16:31:34 - mmengine - INFO - Epoch(train) [2][1160/4451] lr: 9.7072e-07 eta: 15:44:05 time: 0.6387 data_time: 0.1948 memory: 51970 grad_norm: 0.1542 loss: 0.0874 recall@thr=0.5: 0.3768 prec@thr=0.5: 0.5217 recall@top3: 0.7609 prec@top3: 0.4928 recall@top5: 0.8551 prec@top5: 0.3478 loss_action_cls: 0.0874 2023/03/10 16:31:48 - mmengine - INFO - Epoch(train) [2][1180/4451] lr: 9.7313e-07 eta: 15:44:04 time: 0.7221 data_time: 0.2992 memory: 51970 grad_norm: 0.1550 loss: 0.0841 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.7681 recall@top3: 0.8623 prec@top3: 0.7246 recall@top5: 0.9420 prec@top5: 0.4870 loss_action_cls: 0.0841 2023/03/10 16:32:03 - mmengine - INFO - Epoch(train) [2][1200/4451] lr: 9.7553e-07 eta: 15:44:00 time: 0.7127 data_time: 0.2858 memory: 51970 grad_norm: 0.1555 loss: 0.0986 recall@thr=0.5: 0.3556 prec@thr=0.5: 0.4444 recall@top3: 0.5000 prec@top3: 0.3778 recall@top5: 0.7667 prec@top5: 0.3733 loss_action_cls: 0.0986 2023/03/10 16:32:17 - mmengine - INFO - Epoch(train) [2][1220/4451] lr: 9.7793e-07 eta: 15:43:57 time: 0.7149 data_time: 0.2558 memory: 51970 grad_norm: 0.1666 loss: 0.0887 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.7800 recall@top3: 0.7633 prec@top3: 0.5600 recall@top5: 0.9367 prec@top5: 0.4400 loss_action_cls: 0.0887 2023/03/10 16:32:30 - mmengine - INFO - Epoch(train) [2][1240/4451] lr: 9.8033e-07 eta: 15:43:38 time: 0.6595 data_time: 0.1629 memory: 51970 grad_norm: 0.1583 loss: 0.0974 recall@thr=0.5: 0.2931 prec@thr=0.5: 0.4425 recall@top3: 0.7126 prec@top3: 0.6092 recall@top5: 0.9368 prec@top5: 0.4690 loss_action_cls: 0.0974 2023/03/10 16:32:46 - mmengine - INFO - Epoch(train) [2][1260/4451] lr: 9.8273e-07 eta: 15:44:02 time: 0.8089 data_time: 0.1310 memory: 51970 grad_norm: 0.1717 loss: 0.0964 recall@thr=0.5: 0.6098 prec@thr=0.5: 0.6629 recall@top3: 0.6439 prec@top3: 0.5909 recall@top5: 0.7803 prec@top5: 0.4273 loss_action_cls: 0.0964 2023/03/10 16:33:00 - mmengine - INFO - Epoch(train) [2][1280/4451] lr: 9.8514e-07 eta: 15:43:48 time: 0.6780 data_time: 0.0356 memory: 51970 grad_norm: 0.1563 loss: 0.0934 recall@thr=0.5: 0.3877 prec@thr=0.5: 0.5217 recall@top3: 0.6957 prec@top3: 0.5797 recall@top5: 0.8188 prec@top5: 0.4174 loss_action_cls: 0.0934 2023/03/10 16:33:16 - mmengine - INFO - Epoch(train) [2][1300/4451] lr: 9.8754e-07 eta: 15:44:15 time: 0.8199 data_time: 0.0116 memory: 51970 grad_norm: 0.1592 loss: 0.0853 recall@thr=0.5: 0.5586 prec@thr=0.5: 0.5988 recall@top3: 0.7346 prec@top3: 0.5556 recall@top5: 0.9198 prec@top5: 0.4667 loss_action_cls: 0.0853 2023/03/10 16:33:28 - mmengine - INFO - Epoch(train) [2][1320/4451] lr: 9.8994e-07 eta: 15:43:38 time: 0.5993 data_time: 0.0128 memory: 51970 grad_norm: 0.1585 loss: 0.0907 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.8565 recall@top3: 0.8796 prec@top3: 0.6852 recall@top5: 0.9213 prec@top5: 0.4444 loss_action_cls: 0.0907 2023/03/10 16:33:43 - mmengine - INFO - Epoch(train) [2][1340/4451] lr: 9.9234e-07 eta: 15:43:47 time: 0.7608 data_time: 0.0119 memory: 51970 grad_norm: 0.1623 loss: 0.0884 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.2963 recall@top3: 0.6620 prec@top3: 0.4630 recall@top5: 0.7870 prec@top5: 0.3222 loss_action_cls: 0.0884 2023/03/10 16:33:56 - mmengine - INFO - Epoch(train) [2][1360/4451] lr: 9.9474e-07 eta: 15:43:14 time: 0.6123 data_time: 0.0142 memory: 51970 grad_norm: 0.1480 loss: 0.0792 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7083 recall@top3: 0.8611 prec@top3: 0.6296 recall@top5: 0.9630 prec@top5: 0.4222 loss_action_cls: 0.0792 2023/03/10 16:34:10 - mmengine - INFO - Epoch(train) [2][1380/4451] lr: 9.9715e-07 eta: 15:43:14 time: 0.7263 data_time: 0.0122 memory: 51970 grad_norm: 0.1533 loss: 0.0722 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.6389 recall@top3: 0.7870 prec@top3: 0.5370 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0722 2023/03/10 16:34:22 - mmengine - INFO - Epoch(train) [2][1400/4451] lr: 9.9955e-07 eta: 15:42:35 time: 0.5913 data_time: 0.0125 memory: 51970 grad_norm: 0.1505 loss: 0.0797 recall@thr=0.5: 0.7439 prec@thr=0.5: 0.8333 recall@top3: 0.8273 prec@top3: 0.6061 recall@top5: 0.9318 prec@top5: 0.4455 loss_action_cls: 0.0797 2023/03/10 16:34:37 - mmengine - INFO - Epoch(train) [2][1420/4451] lr: 1.0019e-06 eta: 15:42:39 time: 0.7416 data_time: 0.0112 memory: 51970 grad_norm: 0.1505 loss: 0.0791 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8083 recall@top3: 0.8417 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4300 loss_action_cls: 0.0791 2023/03/10 16:34:51 - mmengine - INFO - Epoch(train) [2][1440/4451] lr: 1.0044e-06 eta: 15:42:39 time: 0.7279 data_time: 0.0212 memory: 51970 grad_norm: 0.1562 loss: 0.0819 recall@thr=0.5: 0.4811 prec@thr=0.5: 0.7273 recall@top3: 0.6515 prec@top3: 0.6515 recall@top5: 0.8712 prec@top5: 0.5364 loss_action_cls: 0.0819 2023/03/10 16:35:06 - mmengine - INFO - Epoch(train) [2][1460/4451] lr: 1.0068e-06 eta: 15:42:35 time: 0.7159 data_time: 0.0121 memory: 51970 grad_norm: 0.1553 loss: 0.0773 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.7300 recall@top3: 0.8033 prec@top3: 0.6000 recall@top5: 0.9033 prec@top5: 0.4160 loss_action_cls: 0.0773 2023/03/10 16:35:19 - mmengine - INFO - Epoch(train) [2][1480/4451] lr: 1.0092e-06 eta: 15:42:21 time: 0.6804 data_time: 0.0118 memory: 51970 grad_norm: 0.1559 loss: 0.0865 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6786 recall@top3: 0.8571 prec@top3: 0.4048 recall@top5: 0.8929 prec@top5: 0.2571 loss_action_cls: 0.0865 2023/03/10 16:35:34 - mmengine - INFO - Epoch(train) [2][1500/4451] lr: 1.0116e-06 eta: 15:42:25 time: 0.7427 data_time: 0.0117 memory: 51970 grad_norm: 0.1559 loss: 0.0873 recall@thr=0.5: 0.6343 prec@thr=0.5: 0.6528 recall@top3: 0.7500 prec@top3: 0.5370 recall@top5: 0.9444 prec@top5: 0.4111 loss_action_cls: 0.0873 2023/03/10 16:35:50 - mmengine - INFO - Epoch(train) [2][1520/4451] lr: 1.0140e-06 eta: 15:42:39 time: 0.7785 data_time: 0.0121 memory: 51970 grad_norm: 0.1539 loss: 0.0874 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6993 recall@top3: 0.6246 prec@top3: 0.6232 recall@top5: 0.8159 prec@top5: 0.5043 loss_action_cls: 0.0874 2023/03/10 16:36:03 - mmengine - INFO - Epoch(train) [2][1540/4451] lr: 1.0164e-06 eta: 15:42:14 time: 0.6417 data_time: 0.0110 memory: 51970 grad_norm: 0.1551 loss: 0.0750 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6786 recall@top3: 0.7540 prec@top3: 0.6190 recall@top5: 0.8571 prec@top5: 0.4381 loss_action_cls: 0.0750 2023/03/10 16:36:11 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 16:36:17 - mmengine - INFO - Epoch(train) [2][1560/4451] lr: 1.0188e-06 eta: 15:42:12 time: 0.7213 data_time: 0.0116 memory: 51970 grad_norm: 0.1495 loss: 0.0836 recall@thr=0.5: 0.5923 prec@thr=0.5: 0.6012 recall@top3: 0.6607 prec@top3: 0.5833 recall@top5: 0.8393 prec@top5: 0.4571 loss_action_cls: 0.0836 2023/03/10 16:36:29 - mmengine - INFO - Epoch(train) [2][1580/4451] lr: 1.0212e-06 eta: 15:41:41 time: 0.6186 data_time: 0.0121 memory: 51970 grad_norm: 0.1537 loss: 0.0893 recall@thr=0.5: 0.6133 prec@thr=0.5: 0.6640 recall@top3: 0.7533 prec@top3: 0.5467 recall@top5: 0.8800 prec@top5: 0.3920 loss_action_cls: 0.0893 2023/03/10 16:36:45 - mmengine - INFO - Epoch(train) [2][1600/4451] lr: 1.0236e-06 eta: 15:41:59 time: 0.7946 data_time: 0.0124 memory: 51970 grad_norm: 0.1554 loss: 0.0937 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.7619 recall@top3: 0.7222 prec@top3: 0.5714 recall@top5: 0.8016 prec@top5: 0.3905 loss_action_cls: 0.0937 2023/03/10 16:36:58 - mmengine - INFO - Epoch(train) [2][1620/4451] lr: 1.0260e-06 eta: 15:41:38 time: 0.6569 data_time: 0.0112 memory: 51970 grad_norm: 0.1580 loss: 0.0818 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7681 recall@top3: 0.7790 prec@top3: 0.6667 recall@top5: 0.9384 prec@top5: 0.4870 loss_action_cls: 0.0818 2023/03/10 16:37:14 - mmengine - INFO - Epoch(train) [2][1640/4451] lr: 1.0284e-06 eta: 15:41:45 time: 0.7572 data_time: 0.0121 memory: 51970 grad_norm: 0.1564 loss: 0.0896 recall@thr=0.5: 0.5064 prec@thr=0.5: 0.5513 recall@top3: 0.6795 prec@top3: 0.4872 recall@top5: 0.7404 prec@top5: 0.3231 loss_action_cls: 0.0896 2023/03/10 16:37:29 - mmengine - INFO - Epoch(train) [2][1660/4451] lr: 1.0308e-06 eta: 15:41:52 time: 0.7572 data_time: 0.0121 memory: 51970 grad_norm: 0.1551 loss: 0.0910 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7273 recall@top3: 0.8295 prec@top3: 0.5909 recall@top5: 0.9167 prec@top5: 0.4091 loss_action_cls: 0.0910 2023/03/10 16:37:43 - mmengine - INFO - Epoch(train) [2][1680/4451] lr: 1.0332e-06 eta: 15:41:54 time: 0.7380 data_time: 0.0117 memory: 51970 grad_norm: 0.1650 loss: 0.1035 recall@thr=0.5: 0.4405 prec@thr=0.5: 0.6429 recall@top3: 0.6071 prec@top3: 0.4048 recall@top5: 0.6905 prec@top5: 0.2857 loss_action_cls: 0.1035 2023/03/10 16:37:57 - mmengine - INFO - Epoch(train) [2][1700/4451] lr: 1.0356e-06 eta: 15:41:32 time: 0.6516 data_time: 0.0121 memory: 51970 grad_norm: 0.1651 loss: 0.0820 recall@thr=0.5: 0.6542 prec@thr=0.5: 0.7167 recall@top3: 0.7417 prec@top3: 0.5833 recall@top5: 0.9750 prec@top5: 0.4700 loss_action_cls: 0.0820 2023/03/10 16:38:11 - mmengine - INFO - Epoch(train) [2][1720/4451] lr: 1.0380e-06 eta: 15:41:35 time: 0.7425 data_time: 0.0124 memory: 51970 grad_norm: 0.1487 loss: 0.0943 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.5833 recall@top3: 0.8125 prec@top3: 0.5417 recall@top5: 0.8125 prec@top5: 0.3250 loss_action_cls: 0.0943 2023/03/10 16:38:26 - mmengine - INFO - Epoch(train) [2][1740/4451] lr: 1.0404e-06 eta: 15:41:32 time: 0.7215 data_time: 0.0128 memory: 51970 grad_norm: 0.1542 loss: 0.0831 recall@thr=0.5: 0.7151 prec@thr=0.5: 0.7312 recall@top3: 0.7849 prec@top3: 0.5591 recall@top5: 0.8978 prec@top5: 0.4000 loss_action_cls: 0.0831 2023/03/10 16:38:40 - mmengine - INFO - Epoch(train) [2][1760/4451] lr: 1.0428e-06 eta: 15:41:31 time: 0.7286 data_time: 0.0131 memory: 51970 grad_norm: 0.1621 loss: 0.0801 recall@thr=0.5: 0.4693 prec@thr=0.5: 0.4693 recall@top3: 0.6798 prec@top3: 0.5965 recall@top5: 0.8860 prec@top5: 0.4526 loss_action_cls: 0.0801 2023/03/10 16:38:53 - mmengine - INFO - Epoch(train) [2][1780/4451] lr: 1.0452e-06 eta: 15:41:06 time: 0.6412 data_time: 0.0111 memory: 51970 grad_norm: 0.1502 loss: 0.0883 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.5370 recall@top3: 0.6991 prec@top3: 0.5370 recall@top5: 0.8148 prec@top5: 0.4000 loss_action_cls: 0.0883 2023/03/10 16:39:07 - mmengine - INFO - Epoch(train) [2][1800/4451] lr: 1.0476e-06 eta: 15:41:00 time: 0.7111 data_time: 0.0658 memory: 51970 grad_norm: 0.1530 loss: 0.1014 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7381 recall@top3: 0.8254 prec@top3: 0.6508 recall@top5: 0.8968 prec@top5: 0.4381 loss_action_cls: 0.1014 2023/03/10 16:39:21 - mmengine - INFO - Epoch(train) [2][1820/4451] lr: 1.0500e-06 eta: 15:40:47 time: 0.6848 data_time: 0.0844 memory: 51970 grad_norm: 0.1560 loss: 0.0837 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.5263 recall@top3: 0.7895 prec@top3: 0.4737 recall@top5: 0.8421 prec@top5: 0.3053 loss_action_cls: 0.0837 2023/03/10 16:39:37 - mmengine - INFO - Epoch(train) [2][1840/4451] lr: 1.0524e-06 eta: 15:40:59 time: 0.7778 data_time: 0.2658 memory: 51970 grad_norm: 0.1603 loss: 0.0916 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.5741 recall@top3: 0.8704 prec@top3: 0.7037 recall@top5: 0.9444 prec@top5: 0.4778 loss_action_cls: 0.0916 2023/03/10 16:39:49 - mmengine - INFO - Epoch(train) [2][1860/4451] lr: 1.0548e-06 eta: 15:40:27 time: 0.6125 data_time: 0.1349 memory: 51970 grad_norm: 0.1528 loss: 0.0823 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7281 recall@top3: 0.8158 prec@top3: 0.6842 recall@top5: 0.9737 prec@top5: 0.5053 loss_action_cls: 0.0823 2023/03/10 16:40:04 - mmengine - INFO - Epoch(train) [2][1880/4451] lr: 1.0572e-06 eta: 15:40:32 time: 0.7568 data_time: 0.1448 memory: 51970 grad_norm: 0.1548 loss: 0.0857 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7045 recall@top3: 0.7955 prec@top3: 0.6970 recall@top5: 0.9242 prec@top5: 0.4909 loss_action_cls: 0.0857 2023/03/10 16:40:18 - mmengine - INFO - Epoch(train) [2][1900/4451] lr: 1.0596e-06 eta: 15:40:18 time: 0.6812 data_time: 0.1026 memory: 51970 grad_norm: 0.1468 loss: 0.0993 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.9000 recall@top3: 0.8917 prec@top3: 0.8167 recall@top5: 0.9875 prec@top5: 0.5600 loss_action_cls: 0.0993 2023/03/10 16:40:33 - mmengine - INFO - Epoch(train) [2][1920/4451] lr: 1.0620e-06 eta: 15:40:28 time: 0.7717 data_time: 0.3058 memory: 51970 grad_norm: 0.1555 loss: 0.0811 recall@thr=0.5: 0.4321 prec@thr=0.5: 0.6574 recall@top3: 0.5340 prec@top3: 0.4444 recall@top5: 0.6883 prec@top5: 0.3556 loss_action_cls: 0.0811 2023/03/10 16:40:47 - mmengine - INFO - Epoch(train) [2][1940/4451] lr: 1.0644e-06 eta: 15:40:12 time: 0.6734 data_time: 0.2181 memory: 51970 grad_norm: 0.1480 loss: 0.0794 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.5882 recall@top3: 0.8039 prec@top3: 0.5490 recall@top5: 0.8922 prec@top5: 0.3765 loss_action_cls: 0.0794 2023/03/10 16:41:01 - mmengine - INFO - Epoch(train) [2][1960/4451] lr: 1.0668e-06 eta: 15:40:03 time: 0.7011 data_time: 0.1865 memory: 51970 grad_norm: 0.1602 loss: 0.1000 recall@thr=0.5: 0.5675 prec@thr=0.5: 0.5516 recall@top3: 0.7341 prec@top3: 0.5079 recall@top5: 0.8373 prec@top5: 0.3810 loss_action_cls: 0.1000 2023/03/10 16:41:16 - mmengine - INFO - Epoch(train) [2][1980/4451] lr: 1.0692e-06 eta: 15:40:15 time: 0.7821 data_time: 0.0587 memory: 51970 grad_norm: 0.1544 loss: 0.0739 recall@thr=0.5: 0.4048 prec@thr=0.5: 0.5000 recall@top3: 0.6310 prec@top3: 0.4524 recall@top5: 0.6310 prec@top5: 0.2714 loss_action_cls: 0.0739 2023/03/10 16:41:31 - mmengine - INFO - Epoch(train) [2][2000/4451] lr: 1.0716e-06 eta: 15:40:17 time: 0.7441 data_time: 0.2220 memory: 51970 grad_norm: 0.1591 loss: 0.1026 recall@thr=0.5: 0.5241 prec@thr=0.5: 0.7870 recall@top3: 0.6704 prec@top3: 0.6481 recall@top5: 0.8519 prec@top5: 0.5333 loss_action_cls: 0.1026 2023/03/10 16:41:45 - mmengine - INFO - Epoch(train) [2][2020/4451] lr: 1.0740e-06 eta: 15:40:03 time: 0.6836 data_time: 0.0940 memory: 51970 grad_norm: 0.1579 loss: 0.0828 recall@thr=0.5: 0.6607 prec@thr=0.5: 0.7857 recall@top3: 0.8036 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.4714 loss_action_cls: 0.0828 2023/03/10 16:42:01 - mmengine - INFO - Epoch(train) [2][2040/4451] lr: 1.0764e-06 eta: 15:40:22 time: 0.8097 data_time: 0.0468 memory: 51970 grad_norm: 0.1548 loss: 0.0903 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7042 recall@top3: 0.7833 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4200 loss_action_cls: 0.0903 2023/03/10 16:42:14 - mmengine - INFO - Epoch(train) [2][2060/4451] lr: 1.0788e-06 eta: 15:40:04 time: 0.6684 data_time: 0.0105 memory: 51970 grad_norm: 0.1598 loss: 0.0852 recall@thr=0.5: 0.4570 prec@thr=0.5: 0.4946 recall@top3: 0.6608 prec@top3: 0.5269 recall@top5: 0.9237 prec@top5: 0.4710 loss_action_cls: 0.0852 2023/03/10 16:42:31 - mmengine - INFO - Epoch(train) [2][2080/4451] lr: 1.0812e-06 eta: 15:40:23 time: 0.8136 data_time: 0.1458 memory: 51970 grad_norm: 0.1500 loss: 0.0940 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.9722 recall@top3: 0.9185 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0940 2023/03/10 16:42:45 - mmengine - INFO - Epoch(train) [2][2100/4451] lr: 1.0836e-06 eta: 15:40:20 time: 0.7246 data_time: 0.1414 memory: 51970 grad_norm: 0.1625 loss: 0.0797 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.8333 recall@top3: 0.7008 prec@top3: 0.6061 recall@top5: 0.8750 prec@top5: 0.4545 loss_action_cls: 0.0797 2023/03/10 16:43:02 - mmengine - INFO - Epoch(train) [2][2120/4451] lr: 1.0860e-06 eta: 15:40:40 time: 0.8205 data_time: 0.3146 memory: 51970 grad_norm: 0.1602 loss: 0.0882 recall@thr=0.5: 0.4756 prec@thr=0.5: 0.5667 recall@top3: 0.7467 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.5467 loss_action_cls: 0.0882 2023/03/10 16:43:14 - mmengine - INFO - Epoch(train) [2][2140/4451] lr: 1.0884e-06 eta: 15:40:06 time: 0.6031 data_time: 0.1795 memory: 51970 grad_norm: 0.1556 loss: 0.0813 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.4737 recall@top3: 0.7281 prec@top3: 0.5614 recall@top5: 0.8772 prec@top5: 0.4105 loss_action_cls: 0.0813 2023/03/10 16:43:29 - mmengine - INFO - Epoch(train) [2][2160/4451] lr: 1.0908e-06 eta: 15:40:10 time: 0.7536 data_time: 0.2410 memory: 51970 grad_norm: 0.1512 loss: 0.0889 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7440 recall@top3: 0.7190 prec@top3: 0.6190 recall@top5: 0.8500 prec@top5: 0.4429 loss_action_cls: 0.0889 2023/03/10 16:43:42 - mmengine - INFO - Epoch(train) [2][2180/4451] lr: 1.0932e-06 eta: 15:39:49 time: 0.6559 data_time: 0.1809 memory: 51970 grad_norm: 0.1528 loss: 0.0911 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7685 recall@top3: 0.7685 prec@top3: 0.6852 recall@top5: 0.9352 prec@top5: 0.4778 loss_action_cls: 0.0911 2023/03/10 16:43:59 - mmengine - INFO - Epoch(train) [2][2200/4451] lr: 1.0956e-06 eta: 15:40:24 time: 0.8802 data_time: 0.3962 memory: 51970 grad_norm: 0.1613 loss: 0.0934 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7187 recall@top3: 0.7917 prec@top3: 0.6042 recall@top5: 0.9062 prec@top5: 0.4250 loss_action_cls: 0.0934 2023/03/10 16:44:13 - mmengine - INFO - Epoch(train) [2][2220/4451] lr: 1.0980e-06 eta: 15:40:07 time: 0.6702 data_time: 0.2447 memory: 51970 grad_norm: 0.1578 loss: 0.0876 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.5772 recall@top3: 0.7368 prec@top3: 0.5088 recall@top5: 0.8684 prec@top5: 0.3474 loss_action_cls: 0.0876 2023/03/10 16:44:29 - mmengine - INFO - Epoch(train) [2][2240/4451] lr: 1.1004e-06 eta: 15:40:19 time: 0.7900 data_time: 0.3654 memory: 51970 grad_norm: 0.1534 loss: 0.0831 recall@thr=0.5: 0.5800 prec@thr=0.5: 0.5933 recall@top3: 0.8000 prec@top3: 0.5733 recall@top5: 0.9600 prec@top5: 0.4080 loss_action_cls: 0.0831 2023/03/10 16:44:43 - mmengine - INFO - Epoch(train) [2][2260/4451] lr: 1.1028e-06 eta: 15:40:09 time: 0.7009 data_time: 0.2307 memory: 51970 grad_norm: 0.1593 loss: 0.0962 recall@thr=0.5: 0.5431 prec@thr=0.5: 0.6034 recall@top3: 0.7069 prec@top3: 0.5862 recall@top5: 0.9080 prec@top5: 0.4414 loss_action_cls: 0.0962 2023/03/10 16:44:57 - mmengine - INFO - Epoch(train) [2][2280/4451] lr: 1.1052e-06 eta: 15:39:59 time: 0.7005 data_time: 0.2234 memory: 51970 grad_norm: 0.1448 loss: 0.0712 recall@thr=0.5: 0.4510 prec@thr=0.5: 0.5882 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9608 prec@top5: 0.4118 loss_action_cls: 0.0712 2023/03/10 16:45:11 - mmengine - INFO - Epoch(train) [2][2300/4451] lr: 1.1076e-06 eta: 15:39:53 time: 0.7184 data_time: 0.1574 memory: 51970 grad_norm: 0.1554 loss: 0.0848 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5926 recall@top3: 0.7222 prec@top3: 0.5741 recall@top5: 0.8519 prec@top5: 0.4111 loss_action_cls: 0.0848 2023/03/10 16:45:24 - mmengine - INFO - Epoch(train) [2][2320/4451] lr: 1.1100e-06 eta: 15:39:37 time: 0.6742 data_time: 0.1043 memory: 51970 grad_norm: 0.1493 loss: 0.0888 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7719 recall@top3: 0.6404 prec@top3: 0.5263 recall@top5: 0.8158 prec@top5: 0.4211 loss_action_cls: 0.0888 2023/03/10 16:45:40 - mmengine - INFO - Epoch(train) [2][2340/4451] lr: 1.1124e-06 eta: 15:39:45 time: 0.7762 data_time: 0.0106 memory: 51970 grad_norm: 0.1557 loss: 0.1012 recall@thr=0.5: 0.4961 prec@thr=0.5: 0.6275 recall@top3: 0.7137 prec@top3: 0.5686 recall@top5: 0.8255 prec@top5: 0.4000 loss_action_cls: 0.1012 2023/03/10 16:45:53 - mmengine - INFO - Epoch(train) [2][2360/4451] lr: 1.1148e-06 eta: 15:39:28 time: 0.6739 data_time: 0.0120 memory: 51970 grad_norm: 0.1510 loss: 0.0921 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.8106 recall@top3: 0.7992 prec@top3: 0.6970 recall@top5: 0.9205 prec@top5: 0.5000 loss_action_cls: 0.0921 2023/03/10 16:46:09 - mmengine - INFO - Epoch(train) [2][2380/4451] lr: 1.1172e-06 eta: 15:39:31 time: 0.7529 data_time: 0.0113 memory: 51970 grad_norm: 0.1493 loss: 0.0920 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7889 recall@top3: 0.9333 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0920 2023/03/10 16:46:21 - mmengine - INFO - Epoch(train) [2][2400/4451] lr: 1.1196e-06 eta: 15:38:59 time: 0.6087 data_time: 0.0130 memory: 51970 grad_norm: 0.1510 loss: 0.0776 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8333 recall@top3: 0.9062 prec@top3: 0.7292 recall@top5: 0.9062 prec@top5: 0.4375 loss_action_cls: 0.0776 2023/03/10 16:46:37 - mmengine - INFO - Epoch(train) [2][2420/4451] lr: 1.1220e-06 eta: 15:39:14 time: 0.8071 data_time: 0.0118 memory: 51970 grad_norm: 0.1545 loss: 0.0815 recall@thr=0.5: 0.3594 prec@thr=0.5: 0.4239 recall@top3: 0.6058 prec@top3: 0.4638 recall@top5: 0.7971 prec@top5: 0.3826 loss_action_cls: 0.0815 2023/03/10 16:46:50 - mmengine - INFO - Epoch(train) [2][2440/4451] lr: 1.1245e-06 eta: 15:38:55 time: 0.6659 data_time: 0.0113 memory: 51970 grad_norm: 0.1602 loss: 0.0886 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5800 recall@top3: 0.6750 prec@top3: 0.5167 recall@top5: 0.8500 prec@top5: 0.4100 loss_action_cls: 0.0886 2023/03/10 16:47:04 - mmengine - INFO - Epoch(train) [2][2460/4451] lr: 1.1269e-06 eta: 15:38:49 time: 0.7144 data_time: 0.0129 memory: 51970 grad_norm: 0.1592 loss: 0.0782 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6176 recall@top3: 0.8088 prec@top3: 0.4706 recall@top5: 0.9216 prec@top5: 0.3529 loss_action_cls: 0.0782 2023/03/10 16:47:18 - mmengine - INFO - Epoch(train) [2][2480/4451] lr: 1.1293e-06 eta: 15:38:29 time: 0.6621 data_time: 0.0118 memory: 51970 grad_norm: 0.1563 loss: 0.0920 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6500 recall@top3: 0.7333 prec@top3: 0.5333 recall@top5: 0.9417 prec@top5: 0.4300 loss_action_cls: 0.0920 2023/03/10 16:47:33 - mmengine - INFO - Epoch(train) [2][2500/4451] lr: 1.1317e-06 eta: 15:38:36 time: 0.7716 data_time: 0.0117 memory: 51970 grad_norm: 0.1510 loss: 0.0927 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.8380 recall@top3: 0.8148 prec@top3: 0.7778 recall@top5: 0.9028 prec@top5: 0.5222 loss_action_cls: 0.0927 2023/03/10 16:47:47 - mmengine - INFO - Epoch(train) [2][2520/4451] lr: 1.1341e-06 eta: 15:38:23 time: 0.6924 data_time: 0.0124 memory: 51970 grad_norm: 0.1637 loss: 0.0835 recall@thr=0.5: 0.5929 prec@thr=0.5: 0.7143 recall@top3: 0.7452 prec@top3: 0.6667 recall@top5: 0.9095 prec@top5: 0.4667 loss_action_cls: 0.0835 2023/03/10 16:48:03 - mmengine - INFO - Epoch(train) [2][2540/4451] lr: 1.1365e-06 eta: 15:38:41 time: 0.8183 data_time: 0.0138 memory: 51970 grad_norm: 0.1482 loss: 0.0897 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8070 recall@top3: 0.8947 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.4316 loss_action_cls: 0.0897 2023/03/10 16:48:09 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 16:48:16 - mmengine - INFO - Epoch(train) [2][2560/4451] lr: 1.1389e-06 eta: 15:38:12 time: 0.6218 data_time: 0.0121 memory: 51970 grad_norm: 0.1588 loss: 0.0887 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.6212 recall@top3: 0.6439 prec@top3: 0.5303 recall@top5: 0.8106 prec@top5: 0.4091 loss_action_cls: 0.0887 2023/03/10 16:48:33 - mmengine - INFO - Epoch(train) [2][2580/4451] lr: 1.1413e-06 eta: 15:38:43 time: 0.8784 data_time: 0.0129 memory: 51970 grad_norm: 0.1641 loss: 0.0971 recall@thr=0.5: 0.5265 prec@thr=0.5: 0.7197 recall@top3: 0.7386 prec@top3: 0.6061 recall@top5: 0.9242 prec@top5: 0.4636 loss_action_cls: 0.0971 2023/03/10 16:48:47 - mmengine - INFO - Epoch(train) [2][2600/4451] lr: 1.1437e-06 eta: 15:38:25 time: 0.6693 data_time: 0.0117 memory: 51970 grad_norm: 0.1471 loss: 0.0995 recall@thr=0.5: 0.5351 prec@thr=0.5: 0.6579 recall@top3: 0.7895 prec@top3: 0.6316 recall@top5: 0.8772 prec@top5: 0.4316 loss_action_cls: 0.0995 2023/03/10 16:49:03 - mmengine - INFO - Epoch(train) [2][2620/4451] lr: 1.1461e-06 eta: 15:38:35 time: 0.7901 data_time: 0.0129 memory: 51970 grad_norm: 0.1430 loss: 0.0813 recall@thr=0.5: 0.6789 prec@thr=0.5: 0.7278 recall@top3: 0.7489 prec@top3: 0.6333 recall@top5: 0.9056 prec@top5: 0.4800 loss_action_cls: 0.0813 2023/03/10 16:49:16 - mmengine - INFO - Epoch(train) [2][2640/4451] lr: 1.1485e-06 eta: 15:38:18 time: 0.6718 data_time: 0.0110 memory: 51970 grad_norm: 0.1541 loss: 0.0767 recall@thr=0.5: 0.4635 prec@thr=0.5: 0.5781 recall@top3: 0.6719 prec@top3: 0.6042 recall@top5: 0.8333 prec@top5: 0.4625 loss_action_cls: 0.0767 2023/03/10 16:49:30 - mmengine - INFO - Epoch(train) [2][2660/4451] lr: 1.1509e-06 eta: 15:38:03 time: 0.6838 data_time: 0.0125 memory: 51970 grad_norm: 0.1547 loss: 0.0814 recall@thr=0.5: 0.3788 prec@thr=0.5: 0.6742 recall@top3: 0.6212 prec@top3: 0.6212 recall@top5: 0.7841 prec@top5: 0.4818 loss_action_cls: 0.0814 2023/03/10 16:49:42 - mmengine - INFO - Epoch(train) [2][2680/4451] lr: 1.1533e-06 eta: 15:37:38 time: 0.6388 data_time: 0.0117 memory: 51970 grad_norm: 0.1505 loss: 0.0783 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.8509 recall@top3: 0.8421 prec@top3: 0.5965 recall@top5: 0.8421 prec@top5: 0.3579 loss_action_cls: 0.0783 2023/03/10 16:50:00 - mmengine - INFO - Epoch(train) [2][2700/4451] lr: 1.1557e-06 eta: 15:38:07 time: 0.8699 data_time: 0.0118 memory: 51970 grad_norm: 0.1601 loss: 0.0809 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7396 recall@top3: 0.7292 prec@top3: 0.5417 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0809 2023/03/10 16:50:14 - mmengine - INFO - Epoch(train) [2][2720/4451] lr: 1.1581e-06 eta: 15:37:53 time: 0.6872 data_time: 0.0123 memory: 51970 grad_norm: 0.1522 loss: 0.0912 recall@thr=0.5: 0.6325 prec@thr=0.5: 0.6667 recall@top3: 0.7365 prec@top3: 0.6032 recall@top5: 0.8905 prec@top5: 0.4476 loss_action_cls: 0.0912 2023/03/10 16:50:30 - mmengine - INFO - Epoch(train) [2][2740/4451] lr: 1.1605e-06 eta: 15:38:04 time: 0.7956 data_time: 0.0118 memory: 51970 grad_norm: 0.1549 loss: 0.0787 recall@thr=0.5: 0.4130 prec@thr=0.5: 0.5000 recall@top3: 0.7355 prec@top3: 0.4493 recall@top5: 0.8623 prec@top5: 0.3217 loss_action_cls: 0.0787 2023/03/10 16:50:43 - mmengine - INFO - Epoch(train) [2][2760/4451] lr: 1.1629e-06 eta: 15:37:46 time: 0.6713 data_time: 0.0122 memory: 51970 grad_norm: 0.1585 loss: 0.0896 recall@thr=0.5: 0.5068 prec@thr=0.5: 0.6098 recall@top3: 0.6689 prec@top3: 0.5606 recall@top5: 0.8606 prec@top5: 0.4545 loss_action_cls: 0.0896 2023/03/10 16:50:56 - mmengine - INFO - Epoch(train) [2][2780/4451] lr: 1.1653e-06 eta: 15:37:29 time: 0.6727 data_time: 0.0116 memory: 51970 grad_norm: 0.1508 loss: 0.0765 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.9649 recall@top3: 0.8947 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0765 2023/03/10 16:51:10 - mmengine - INFO - Epoch(train) [2][2800/4451] lr: 1.1677e-06 eta: 15:37:19 time: 0.7047 data_time: 0.0116 memory: 51970 grad_norm: 0.1520 loss: 0.0741 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.5000 recall@top3: 0.6548 prec@top3: 0.4762 recall@top5: 0.8810 prec@top5: 0.4000 loss_action_cls: 0.0741 2023/03/10 16:51:26 - mmengine - INFO - Epoch(train) [2][2820/4451] lr: 1.1701e-06 eta: 15:37:30 time: 0.7975 data_time: 0.0127 memory: 51970 grad_norm: 0.1453 loss: 0.0945 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8417 recall@top3: 0.8000 prec@top3: 0.6500 recall@top5: 0.8917 prec@top5: 0.4400 loss_action_cls: 0.0945 2023/03/10 16:51:39 - mmengine - INFO - Epoch(train) [2][2840/4451] lr: 1.1725e-06 eta: 15:37:01 time: 0.6213 data_time: 0.0124 memory: 51970 grad_norm: 0.1470 loss: 0.0802 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.6780 recall@top3: 0.7121 prec@top3: 0.6970 recall@top5: 0.8295 prec@top5: 0.4909 loss_action_cls: 0.0802 2023/03/10 16:51:53 - mmengine - INFO - Epoch(train) [2][2860/4451] lr: 1.1749e-06 eta: 15:36:47 time: 0.6866 data_time: 0.1083 memory: 51970 grad_norm: 0.1534 loss: 0.0835 recall@thr=0.5: 0.4928 prec@thr=0.5: 0.6739 recall@top3: 0.7174 prec@top3: 0.5217 recall@top5: 0.8188 prec@top5: 0.3826 loss_action_cls: 0.0835 2023/03/10 16:52:07 - mmengine - INFO - Epoch(train) [2][2880/4451] lr: 1.1773e-06 eta: 15:36:36 time: 0.6998 data_time: 0.1261 memory: 51970 grad_norm: 0.1497 loss: 0.0985 recall@thr=0.5: 0.4549 prec@thr=0.5: 0.5694 recall@top3: 0.6333 prec@top3: 0.5278 recall@top5: 0.8528 prec@top5: 0.4167 loss_action_cls: 0.0985 2023/03/10 16:52:21 - mmengine - INFO - Epoch(train) [2][2900/4451] lr: 1.1797e-06 eta: 15:36:35 time: 0.7448 data_time: 0.1389 memory: 51970 grad_norm: 0.1507 loss: 0.0846 recall@thr=0.5: 0.6792 prec@thr=0.5: 0.8000 recall@top3: 0.7458 prec@top3: 0.5667 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0846 2023/03/10 16:52:35 - mmengine - INFO - Epoch(train) [2][2920/4451] lr: 1.1821e-06 eta: 15:36:20 time: 0.6832 data_time: 0.1440 memory: 51970 grad_norm: 0.1514 loss: 0.0605 recall@thr=0.5: 0.6125 prec@thr=0.5: 0.7292 recall@top3: 0.7792 prec@top3: 0.6458 recall@top5: 0.8292 prec@top5: 0.4375 loss_action_cls: 0.0605 2023/03/10 16:52:51 - mmengine - INFO - Epoch(train) [2][2940/4451] lr: 1.1845e-06 eta: 15:36:31 time: 0.8013 data_time: 0.0577 memory: 51970 grad_norm: 0.1530 loss: 0.0807 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.7576 recall@top3: 0.8864 prec@top3: 0.6970 recall@top5: 0.9545 prec@top5: 0.4545 loss_action_cls: 0.0807 2023/03/10 16:53:04 - mmengine - INFO - Epoch(train) [2][2960/4451] lr: 1.1869e-06 eta: 15:36:04 time: 0.6285 data_time: 0.0439 memory: 51970 grad_norm: 0.1466 loss: 0.0779 recall@thr=0.5: 0.4100 prec@thr=0.5: 0.6200 recall@top3: 0.7333 prec@top3: 0.6400 recall@top5: 0.9367 prec@top5: 0.5040 loss_action_cls: 0.0779 2023/03/10 16:53:19 - mmengine - INFO - Epoch(train) [2][2980/4451] lr: 1.1893e-06 eta: 15:36:10 time: 0.7773 data_time: 0.0566 memory: 51970 grad_norm: 0.1443 loss: 0.0738 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7500 recall@top3: 0.7056 prec@top3: 0.5370 recall@top5: 0.9676 prec@top5: 0.4556 loss_action_cls: 0.0738 2023/03/10 16:53:34 - mmengine - INFO - Epoch(train) [2][3000/4451] lr: 1.1917e-06 eta: 15:36:04 time: 0.7214 data_time: 0.0110 memory: 51970 grad_norm: 0.1549 loss: 0.0895 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.5784 recall@top3: 0.8382 prec@top3: 0.5098 recall@top5: 0.9069 prec@top5: 0.3529 loss_action_cls: 0.0895 2023/03/10 16:53:49 - mmengine - INFO - Epoch(train) [2][3020/4451] lr: 1.1941e-06 eta: 15:36:01 time: 0.7393 data_time: 0.0126 memory: 51970 grad_norm: 0.1466 loss: 0.0803 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.6667 recall@top3: 0.8438 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.3375 loss_action_cls: 0.0803 2023/03/10 16:54:04 - mmengine - INFO - Epoch(train) [2][3040/4451] lr: 1.1965e-06 eta: 15:36:08 time: 0.7838 data_time: 0.0125 memory: 51970 grad_norm: 0.1630 loss: 0.0741 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.6272 recall@top3: 0.8333 prec@top3: 0.5088 recall@top5: 0.9342 prec@top5: 0.3579 loss_action_cls: 0.0741 2023/03/10 16:54:17 - mmengine - INFO - Epoch(train) [2][3060/4451] lr: 1.1989e-06 eta: 15:35:43 time: 0.6388 data_time: 0.0215 memory: 51970 grad_norm: 0.1548 loss: 0.0912 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.7132 recall@top3: 0.8224 prec@top3: 0.7586 recall@top5: 0.9678 prec@top5: 0.5586 loss_action_cls: 0.0912 2023/03/10 16:54:33 - mmengine - INFO - Epoch(train) [2][3080/4451] lr: 1.2013e-06 eta: 15:35:49 time: 0.7789 data_time: 0.0110 memory: 51970 grad_norm: 0.1561 loss: 0.0862 recall@thr=0.5: 0.3781 prec@thr=0.5: 0.5877 recall@top3: 0.5158 prec@top3: 0.5088 recall@top5: 0.8614 prec@top5: 0.4947 loss_action_cls: 0.0862 2023/03/10 16:54:45 - mmengine - INFO - Epoch(train) [2][3100/4451] lr: 1.2037e-06 eta: 15:35:25 time: 0.6400 data_time: 0.0132 memory: 51970 grad_norm: 0.1519 loss: 0.0746 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.5351 recall@top3: 0.8596 prec@top3: 0.4035 recall@top5: 0.9825 prec@top5: 0.2947 loss_action_cls: 0.0746 2023/03/10 16:55:00 - mmengine - INFO - Epoch(train) [2][3120/4451] lr: 1.2061e-06 eta: 15:35:19 time: 0.7268 data_time: 0.0119 memory: 51970 grad_norm: 0.1540 loss: 0.0679 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.6961 recall@top3: 0.7157 prec@top3: 0.5098 recall@top5: 0.8824 prec@top5: 0.3882 loss_action_cls: 0.0679 2023/03/10 16:55:14 - mmengine - INFO - Epoch(train) [2][3140/4451] lr: 1.2085e-06 eta: 15:35:12 time: 0.7228 data_time: 0.0123 memory: 51970 grad_norm: 0.1609 loss: 0.0735 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.5400 recall@top3: 0.5700 prec@top3: 0.4800 recall@top5: 0.8567 prec@top5: 0.4240 loss_action_cls: 0.0735 2023/03/10 16:55:29 - mmengine - INFO - Epoch(train) [2][3160/4451] lr: 1.2109e-06 eta: 15:35:06 time: 0.7251 data_time: 0.0118 memory: 51970 grad_norm: 0.1581 loss: 0.0810 recall@thr=0.5: 0.6423 prec@thr=0.5: 0.7372 recall@top3: 0.7224 prec@top3: 0.6154 recall@top5: 0.8949 prec@top5: 0.4615 loss_action_cls: 0.0810 2023/03/10 16:55:43 - mmengine - INFO - Epoch(train) [2][3180/4451] lr: 1.2133e-06 eta: 15:35:01 time: 0.7299 data_time: 0.0120 memory: 51970 grad_norm: 0.1554 loss: 0.0894 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.5707 recall@top3: 0.7778 prec@top3: 0.5657 recall@top5: 0.9040 prec@top5: 0.4121 loss_action_cls: 0.0894 2023/03/10 16:55:56 - mmengine - INFO - Epoch(train) [2][3200/4451] lr: 1.2157e-06 eta: 15:34:35 time: 0.6298 data_time: 0.0118 memory: 51970 grad_norm: 0.1594 loss: 0.0815 recall@thr=0.5: 0.4853 prec@thr=0.5: 0.6275 recall@top3: 0.6961 prec@top3: 0.5098 recall@top5: 0.8529 prec@top5: 0.4000 loss_action_cls: 0.0815 2023/03/10 16:56:11 - mmengine - INFO - Epoch(train) [2][3220/4451] lr: 1.2181e-06 eta: 15:34:29 time: 0.7275 data_time: 0.0133 memory: 51970 grad_norm: 0.1472 loss: 0.0994 recall@thr=0.5: 0.4464 prec@thr=0.5: 0.4881 recall@top3: 0.7560 prec@top3: 0.4881 recall@top5: 0.9077 prec@top5: 0.3643 loss_action_cls: 0.0994 2023/03/10 16:56:24 - mmengine - INFO - Epoch(train) [2][3240/4451] lr: 1.2205e-06 eta: 15:34:06 time: 0.6471 data_time: 0.0137 memory: 51970 grad_norm: 0.1518 loss: 0.0983 recall@thr=0.5: 0.7011 prec@thr=0.5: 0.7011 recall@top3: 0.7586 prec@top3: 0.5862 recall@top5: 0.8621 prec@top5: 0.4069 loss_action_cls: 0.0983 2023/03/10 16:56:40 - mmengine - INFO - Epoch(train) [2][3260/4451] lr: 1.2229e-06 eta: 15:34:21 time: 0.8222 data_time: 0.0125 memory: 51970 grad_norm: 0.1461 loss: 0.0691 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.6825 recall@top3: 0.8810 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4381 loss_action_cls: 0.0691 2023/03/10 16:56:53 - mmengine - INFO - Epoch(train) [2][3280/4451] lr: 1.2253e-06 eta: 15:33:58 time: 0.6480 data_time: 0.0114 memory: 51970 grad_norm: 0.1484 loss: 0.0869 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5000 recall@top3: 0.7745 prec@top3: 0.5098 recall@top5: 0.9118 prec@top5: 0.3647 loss_action_cls: 0.0869 2023/03/10 16:57:08 - mmengine - INFO - Epoch(train) [2][3300/4451] lr: 1.2277e-06 eta: 15:33:59 time: 0.7576 data_time: 0.0121 memory: 51970 grad_norm: 0.1511 loss: 0.0823 recall@thr=0.5: 0.3750 prec@thr=0.5: 0.4545 recall@top3: 0.6856 prec@top3: 0.5303 recall@top5: 0.8977 prec@top5: 0.4364 loss_action_cls: 0.0823 2023/03/10 16:57:22 - mmengine - INFO - Epoch(train) [2][3320/4451] lr: 1.2301e-06 eta: 15:33:44 time: 0.6832 data_time: 0.0122 memory: 51970 grad_norm: 0.1428 loss: 0.0911 recall@thr=0.5: 0.7344 prec@thr=0.5: 0.8542 recall@top3: 0.8177 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4625 loss_action_cls: 0.0911 2023/03/10 16:57:36 - mmengine - INFO - Epoch(train) [2][3340/4451] lr: 1.2325e-06 eta: 15:33:30 time: 0.6888 data_time: 0.0119 memory: 51970 grad_norm: 0.1525 loss: 0.0813 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5644 recall@top3: 0.7727 prec@top3: 0.4697 recall@top5: 0.9545 prec@top5: 0.3636 loss_action_cls: 0.0813 2023/03/10 16:57:49 - mmengine - INFO - Epoch(train) [2][3360/4451] lr: 1.2349e-06 eta: 15:33:11 time: 0.6645 data_time: 0.0116 memory: 51970 grad_norm: 0.1495 loss: 0.0798 recall@thr=0.5: 0.5159 prec@thr=0.5: 0.5714 recall@top3: 0.7143 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.3810 loss_action_cls: 0.0798 2023/03/10 16:58:04 - mmengine - INFO - Epoch(train) [2][3380/4451] lr: 1.2373e-06 eta: 15:33:08 time: 0.7445 data_time: 0.0409 memory: 51970 grad_norm: 0.1538 loss: 0.0842 recall@thr=0.5: 0.3231 prec@thr=0.5: 0.2821 recall@top3: 0.5179 prec@top3: 0.3718 recall@top5: 0.7910 prec@top5: 0.3769 loss_action_cls: 0.0842 2023/03/10 16:58:18 - mmengine - INFO - Epoch(train) [2][3400/4451] lr: 1.2397e-06 eta: 15:32:55 time: 0.6942 data_time: 0.0645 memory: 51970 grad_norm: 0.1534 loss: 0.0745 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.6782 recall@top3: 0.7731 prec@top3: 0.6574 recall@top5: 0.8889 prec@top5: 0.4722 loss_action_cls: 0.0745 2023/03/10 16:58:34 - mmengine - INFO - Epoch(train) [2][3420/4451] lr: 1.2421e-06 eta: 15:33:07 time: 0.8113 data_time: 0.0124 memory: 51970 grad_norm: 0.1484 loss: 0.0805 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8333 recall@top3: 0.8519 prec@top3: 0.4815 recall@top5: 0.8981 prec@top5: 0.3222 loss_action_cls: 0.0805 2023/03/10 16:58:46 - mmengine - INFO - Epoch(train) [2][3440/4451] lr: 1.2446e-06 eta: 15:32:38 time: 0.6196 data_time: 0.0129 memory: 51970 grad_norm: 0.1509 loss: 0.0788 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.9375 recall@top3: 0.8958 prec@top3: 0.6042 recall@top5: 0.9479 prec@top5: 0.3875 loss_action_cls: 0.0788 2023/03/10 16:59:02 - mmengine - INFO - Epoch(train) [2][3460/4451] lr: 1.2470e-06 eta: 15:32:43 time: 0.7784 data_time: 0.0155 memory: 51970 grad_norm: 0.1526 loss: 0.0857 recall@thr=0.5: 0.5455 prec@thr=0.5: 0.5455 recall@top3: 0.7576 prec@top3: 0.5152 recall@top5: 0.7879 prec@top5: 0.3273 loss_action_cls: 0.0857 2023/03/10 16:59:15 - mmengine - INFO - Epoch(train) [2][3480/4451] lr: 1.2494e-06 eta: 15:32:23 time: 0.6604 data_time: 0.0110 memory: 51970 grad_norm: 0.1477 loss: 0.0740 recall@thr=0.5: 0.6178 prec@thr=0.5: 0.6695 recall@top3: 0.7500 prec@top3: 0.6207 recall@top5: 0.8592 prec@top5: 0.4345 loss_action_cls: 0.0740 2023/03/10 16:59:30 - mmengine - INFO - Epoch(train) [2][3500/4451] lr: 1.2518e-06 eta: 15:32:26 time: 0.7727 data_time: 0.0131 memory: 51970 grad_norm: 0.1533 loss: 0.1020 recall@thr=0.5: 0.3333 prec@thr=0.5: 0.5769 recall@top3: 0.6026 prec@top3: 0.5128 recall@top5: 0.8846 prec@top5: 0.4462 loss_action_cls: 0.1020 2023/03/10 16:59:44 - mmengine - INFO - Epoch(train) [2][3520/4451] lr: 1.2542e-06 eta: 15:32:05 time: 0.6530 data_time: 0.0118 memory: 51970 grad_norm: 0.1470 loss: 0.0920 recall@thr=0.5: 0.4951 prec@thr=0.5: 0.6765 recall@top3: 0.6422 prec@top3: 0.5490 recall@top5: 0.8333 prec@top5: 0.4471 loss_action_cls: 0.0920 2023/03/10 16:59:58 - mmengine - INFO - Epoch(train) [2][3540/4451] lr: 1.2566e-06 eta: 15:32:00 time: 0.7346 data_time: 0.0130 memory: 51970 grad_norm: 0.1442 loss: 0.0731 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6667 recall@top3: 0.7917 prec@top3: 0.5833 recall@top5: 0.9792 prec@top5: 0.4625 loss_action_cls: 0.0731 2023/03/10 17:00:04 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 17:00:12 - mmengine - INFO - Epoch(train) [2][3560/4451] lr: 1.2590e-06 eta: 15:31:45 time: 0.6837 data_time: 0.0128 memory: 51970 grad_norm: 0.1555 loss: 0.0827 recall@thr=0.5: 0.5132 prec@thr=0.5: 0.6096 recall@top3: 0.7588 prec@top3: 0.6667 recall@top5: 0.9298 prec@top5: 0.5053 loss_action_cls: 0.0827 2023/03/10 17:00:28 - mmengine - INFO - Epoch(train) [2][3580/4451] lr: 1.2614e-06 eta: 15:31:54 time: 0.8031 data_time: 0.0133 memory: 51970 grad_norm: 0.1576 loss: 0.0761 recall@thr=0.5: 0.3841 prec@thr=0.5: 0.4928 recall@top3: 0.7029 prec@top3: 0.4638 recall@top5: 0.8623 prec@top5: 0.3391 loss_action_cls: 0.0761 2023/03/10 17:00:41 - mmengine - INFO - Epoch(train) [2][3600/4451] lr: 1.2638e-06 eta: 15:31:31 time: 0.6461 data_time: 0.0117 memory: 51970 grad_norm: 0.1530 loss: 0.0788 recall@thr=0.5: 0.5640 prec@thr=0.5: 0.6344 recall@top3: 0.7441 prec@top3: 0.6344 recall@top5: 0.9102 prec@top5: 0.4903 loss_action_cls: 0.0788 2023/03/10 17:00:57 - mmengine - INFO - Epoch(train) [2][3620/4451] lr: 1.2662e-06 eta: 15:31:37 time: 0.7903 data_time: 0.0127 memory: 51970 grad_norm: 0.1553 loss: 0.0809 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.5556 recall@top3: 0.6167 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.5167 loss_action_cls: 0.0809 2023/03/10 17:01:11 - mmengine - INFO - Epoch(train) [2][3640/4451] lr: 1.2686e-06 eta: 15:31:26 time: 0.7041 data_time: 0.0124 memory: 51970 grad_norm: 0.1548 loss: 0.1002 recall@thr=0.5: 0.4352 prec@thr=0.5: 0.5586 recall@top3: 0.6728 prec@top3: 0.5802 recall@top5: 0.8241 prec@top5: 0.4296 loss_action_cls: 0.1002 2023/03/10 17:01:27 - mmengine - INFO - Epoch(train) [2][3660/4451] lr: 1.2710e-06 eta: 15:31:38 time: 0.8193 data_time: 0.0125 memory: 51970 grad_norm: 0.1537 loss: 0.0836 recall@thr=0.5: 0.3696 prec@thr=0.5: 0.3841 recall@top3: 0.5616 prec@top3: 0.4783 recall@top5: 0.8986 prec@top5: 0.4348 loss_action_cls: 0.0836 2023/03/10 17:01:40 - mmengine - INFO - Epoch(train) [2][3680/4451] lr: 1.2734e-06 eta: 15:31:13 time: 0.6324 data_time: 0.0125 memory: 51970 grad_norm: 0.1553 loss: 0.0734 recall@thr=0.5: 0.4250 prec@thr=0.5: 0.4844 recall@top3: 0.6802 prec@top3: 0.5625 recall@top5: 0.8245 prec@top5: 0.4062 loss_action_cls: 0.0734 2023/03/10 17:01:54 - mmengine - INFO - Epoch(train) [2][3700/4451] lr: 1.2758e-06 eta: 15:31:03 time: 0.7116 data_time: 0.0119 memory: 51970 grad_norm: 0.1541 loss: 0.0715 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.8421 recall@top3: 0.6667 prec@top3: 0.5263 recall@top5: 0.9123 prec@top5: 0.4526 loss_action_cls: 0.0715 2023/03/10 17:02:07 - mmengine - INFO - Epoch(train) [2][3720/4451] lr: 1.2782e-06 eta: 15:30:41 time: 0.6510 data_time: 0.0129 memory: 51970 grad_norm: 0.1560 loss: 0.0840 recall@thr=0.5: 0.5586 prec@thr=0.5: 0.8210 recall@top3: 0.8148 prec@top3: 0.6296 recall@top5: 0.9012 prec@top5: 0.4296 loss_action_cls: 0.0840 2023/03/10 17:02:23 - mmengine - INFO - Epoch(train) [2][3740/4451] lr: 1.2806e-06 eta: 15:30:48 time: 0.7946 data_time: 0.0115 memory: 51970 grad_norm: 0.1529 loss: 0.0790 recall@thr=0.5: 0.3810 prec@thr=0.5: 0.4524 recall@top3: 0.5635 prec@top3: 0.3016 recall@top5: 0.7222 prec@top5: 0.2476 loss_action_cls: 0.0790 2023/03/10 17:02:35 - mmengine - INFO - Epoch(train) [2][3760/4451] lr: 1.2830e-06 eta: 15:30:21 time: 0.6243 data_time: 0.0137 memory: 51970 grad_norm: 0.1531 loss: 0.0748 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6061 recall@top3: 0.7273 prec@top3: 0.5455 recall@top5: 0.8485 prec@top5: 0.3909 loss_action_cls: 0.0748 2023/03/10 17:02:52 - mmengine - INFO - Epoch(train) [2][3780/4451] lr: 1.2854e-06 eta: 15:30:32 time: 0.8183 data_time: 0.0116 memory: 51970 grad_norm: 0.1474 loss: 0.0814 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7745 recall@top3: 0.8627 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4706 loss_action_cls: 0.0814 2023/03/10 17:03:07 - mmengine - INFO - Epoch(train) [2][3800/4451] lr: 1.2878e-06 eta: 15:30:29 time: 0.7457 data_time: 0.0127 memory: 51970 grad_norm: 0.1595 loss: 0.0798 recall@thr=0.5: 0.6868 prec@thr=0.5: 0.6724 recall@top3: 0.7701 prec@top3: 0.4943 recall@top5: 0.9569 prec@top5: 0.3586 loss_action_cls: 0.0798 2023/03/10 17:03:21 - mmengine - INFO - Epoch(train) [2][3820/4451] lr: 1.2902e-06 eta: 15:30:18 time: 0.7056 data_time: 0.0119 memory: 51970 grad_norm: 0.1539 loss: 0.0837 recall@thr=0.5: 0.4479 prec@thr=0.5: 0.5937 recall@top3: 0.8438 prec@top3: 0.5625 recall@top5: 0.9688 prec@top5: 0.3875 loss_action_cls: 0.0837 2023/03/10 17:03:34 - mmengine - INFO - Epoch(train) [2][3840/4451] lr: 1.2926e-06 eta: 15:29:55 time: 0.6451 data_time: 0.0123 memory: 51970 grad_norm: 0.1527 loss: 0.0946 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.8137 recall@top3: 0.7647 prec@top3: 0.6275 recall@top5: 0.8824 prec@top5: 0.4353 loss_action_cls: 0.0946 2023/03/10 17:03:49 - mmengine - INFO - Epoch(train) [2][3860/4451] lr: 1.2950e-06 eta: 15:29:57 time: 0.7684 data_time: 0.0137 memory: 51970 grad_norm: 0.1525 loss: 0.0876 recall@thr=0.5: 0.4306 prec@thr=0.5: 0.7500 recall@top3: 0.5833 prec@top3: 0.4167 recall@top5: 0.6528 prec@top5: 0.2833 loss_action_cls: 0.0876 2023/03/10 17:04:02 - mmengine - INFO - Epoch(train) [2][3880/4451] lr: 1.2974e-06 eta: 15:29:31 time: 0.6298 data_time: 0.0111 memory: 51970 grad_norm: 0.1497 loss: 0.0898 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8993 recall@top3: 0.8694 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5167 loss_action_cls: 0.0898 2023/03/10 17:04:17 - mmengine - INFO - Epoch(train) [2][3900/4451] lr: 1.2998e-06 eta: 15:29:31 time: 0.7648 data_time: 0.0136 memory: 51970 grad_norm: 0.1517 loss: 0.0908 recall@thr=0.5: 0.7610 prec@thr=0.5: 0.7829 recall@top3: 0.7654 prec@top3: 0.8158 recall@top5: 0.9364 prec@top5: 0.6053 loss_action_cls: 0.0908 2023/03/10 17:04:30 - mmengine - INFO - Epoch(train) [2][3920/4451] lr: 1.3022e-06 eta: 15:29:08 time: 0.6417 data_time: 0.0116 memory: 51970 grad_norm: 0.1556 loss: 0.0787 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6111 recall@top3: 0.7698 prec@top3: 0.6508 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0787 2023/03/10 17:04:45 - mmengine - INFO - Epoch(train) [2][3940/4451] lr: 1.3046e-06 eta: 15:29:11 time: 0.7795 data_time: 0.0126 memory: 51970 grad_norm: 0.1557 loss: 0.0847 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.5714 recall@top3: 0.8413 prec@top3: 0.5714 recall@top5: 0.9127 prec@top5: 0.3714 loss_action_cls: 0.0847 2023/03/10 17:04:58 - mmengine - INFO - Epoch(train) [2][3960/4451] lr: 1.3070e-06 eta: 15:28:50 time: 0.6529 data_time: 0.0116 memory: 51970 grad_norm: 0.1494 loss: 0.0796 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.8667 recall@top3: 0.9056 prec@top3: 0.5333 recall@top5: 0.9444 prec@top5: 0.3467 loss_action_cls: 0.0796 2023/03/10 17:05:15 - mmengine - INFO - Epoch(train) [2][3980/4451] lr: 1.3094e-06 eta: 15:28:58 time: 0.8094 data_time: 0.0123 memory: 51970 grad_norm: 0.1437 loss: 0.0858 recall@thr=0.5: 0.4637 prec@thr=0.5: 0.6699 recall@top3: 0.6810 prec@top3: 0.5817 recall@top5: 0.7993 prec@top5: 0.4314 loss_action_cls: 0.0858 2023/03/10 17:05:28 - mmengine - INFO - Epoch(train) [2][4000/4451] lr: 1.3118e-06 eta: 15:28:43 time: 0.6837 data_time: 0.0126 memory: 51970 grad_norm: 0.1562 loss: 0.0821 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8833 recall@top3: 0.7875 prec@top3: 0.7167 recall@top5: 0.9417 prec@top5: 0.5400 loss_action_cls: 0.0821 2023/03/10 17:05:42 - mmengine - INFO - Epoch(train) [2][4020/4451] lr: 1.3142e-06 eta: 15:28:29 time: 0.6890 data_time: 0.0132 memory: 51970 grad_norm: 0.1487 loss: 0.0753 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.7778 recall@top3: 0.8651 prec@top3: 0.7937 recall@top5: 0.9524 prec@top5: 0.5333 loss_action_cls: 0.0753 2023/03/10 17:05:55 - mmengine - INFO - Epoch(train) [2][4040/4451] lr: 1.3166e-06 eta: 15:28:10 time: 0.6682 data_time: 0.0122 memory: 51970 grad_norm: 0.1432 loss: 0.0852 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7143 recall@top3: 0.8810 prec@top3: 0.4762 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0852 2023/03/10 17:06:12 - mmengine - INFO - Epoch(train) [2][4060/4451] lr: 1.3190e-06 eta: 15:28:18 time: 0.8045 data_time: 0.0137 memory: 51970 grad_norm: 0.1545 loss: 0.0769 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5937 recall@top3: 0.7604 prec@top3: 0.4792 recall@top5: 0.9688 prec@top5: 0.3750 loss_action_cls: 0.0769 2023/03/10 17:06:25 - mmengine - INFO - Epoch(train) [2][4080/4451] lr: 1.3214e-06 eta: 15:27:56 time: 0.6495 data_time: 0.0332 memory: 51970 grad_norm: 0.1520 loss: 0.0812 recall@thr=0.5: 0.3824 prec@thr=0.5: 0.3529 recall@top3: 0.5588 prec@top3: 0.3333 recall@top5: 0.8824 prec@top5: 0.3059 loss_action_cls: 0.0812 2023/03/10 17:06:40 - mmengine - INFO - Epoch(train) [2][4100/4451] lr: 1.3238e-06 eta: 15:27:56 time: 0.7638 data_time: 0.0310 memory: 51970 grad_norm: 0.1466 loss: 0.0745 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6491 recall@top3: 0.7982 prec@top3: 0.5263 recall@top5: 0.9693 prec@top5: 0.3895 loss_action_cls: 0.0745 2023/03/10 17:06:54 - mmengine - INFO - Epoch(train) [2][4120/4451] lr: 1.3262e-06 eta: 15:27:44 time: 0.7043 data_time: 0.1079 memory: 51970 grad_norm: 0.1432 loss: 0.0736 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.8091 recall@top3: 0.6818 prec@top3: 0.5455 recall@top5: 0.9545 prec@top5: 0.4455 loss_action_cls: 0.0736 2023/03/10 17:07:09 - mmengine - INFO - Epoch(train) [2][4140/4451] lr: 1.3286e-06 eta: 15:27:44 time: 0.7624 data_time: 0.3051 memory: 51970 grad_norm: 0.1578 loss: 0.0721 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.8333 recall@top3: 0.7963 prec@top3: 0.7222 recall@top5: 0.8843 prec@top5: 0.4778 loss_action_cls: 0.0721 2023/03/10 17:07:23 - mmengine - INFO - Epoch(train) [2][4160/4451] lr: 1.3310e-06 eta: 15:27:27 time: 0.6759 data_time: 0.2129 memory: 51970 grad_norm: 0.1548 loss: 0.0795 recall@thr=0.5: 0.5076 prec@thr=0.5: 0.5606 recall@top3: 0.8598 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0795 2023/03/10 17:07:37 - mmengine - INFO - Epoch(train) [2][4180/4451] lr: 1.3334e-06 eta: 15:27:18 time: 0.7176 data_time: 0.1758 memory: 51970 grad_norm: 0.1559 loss: 0.0870 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7941 recall@top3: 0.9314 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.3647 loss_action_cls: 0.0870 2023/03/10 17:07:51 - mmengine - INFO - Epoch(train) [2][4200/4451] lr: 1.3358e-06 eta: 15:27:04 time: 0.6931 data_time: 0.0807 memory: 51970 grad_norm: 0.1561 loss: 0.0782 recall@thr=0.5: 0.6897 prec@thr=0.5: 0.7069 recall@top3: 0.7787 prec@top3: 0.6207 recall@top5: 0.9310 prec@top5: 0.4276 loss_action_cls: 0.0782 2023/03/10 17:08:05 - mmengine - INFO - Epoch(train) [2][4220/4451] lr: 1.3382e-06 eta: 15:26:50 time: 0.6885 data_time: 0.0126 memory: 51970 grad_norm: 0.1533 loss: 0.1064 recall@thr=0.5: 0.4960 prec@thr=0.5: 0.6782 recall@top3: 0.6569 prec@top3: 0.5057 recall@top5: 0.8115 prec@top5: 0.3931 loss_action_cls: 0.1064 2023/03/10 17:08:19 - mmengine - INFO - Epoch(train) [2][4240/4451] lr: 1.3406e-06 eta: 15:26:39 time: 0.7094 data_time: 0.0106 memory: 51970 grad_norm: 0.1513 loss: 0.0811 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8111 recall@top3: 0.9167 prec@top3: 0.5556 recall@top5: 0.9556 prec@top5: 0.3600 loss_action_cls: 0.0811 2023/03/10 17:08:34 - mmengine - INFO - Epoch(train) [2][4260/4451] lr: 1.3430e-06 eta: 15:26:38 time: 0.7593 data_time: 0.0131 memory: 51970 grad_norm: 0.1461 loss: 0.0819 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7949 recall@top3: 0.7436 prec@top3: 0.5385 recall@top5: 0.7949 prec@top5: 0.3538 loss_action_cls: 0.0819 2023/03/10 17:08:48 - mmengine - INFO - Epoch(train) [2][4280/4451] lr: 1.3454e-06 eta: 15:26:21 time: 0.6777 data_time: 0.0123 memory: 51970 grad_norm: 0.1488 loss: 0.0662 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6000 recall@top3: 1.0000 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3333 loss_action_cls: 0.0662 2023/03/10 17:09:02 - mmengine - INFO - Epoch(train) [2][4300/4451] lr: 1.3478e-06 eta: 15:26:13 time: 0.7218 data_time: 0.0127 memory: 51970 grad_norm: 0.1524 loss: 0.0833 recall@thr=0.5: 0.6392 prec@thr=0.5: 0.5980 recall@top3: 0.6588 prec@top3: 0.4902 recall@top5: 0.8392 prec@top5: 0.3765 loss_action_cls: 0.0833 2023/03/10 17:09:17 - mmengine - INFO - Epoch(train) [2][4320/4451] lr: 1.3502e-06 eta: 15:26:05 time: 0.7259 data_time: 0.0110 memory: 51970 grad_norm: 0.1558 loss: 0.0843 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.4524 recall@top3: 0.6250 prec@top3: 0.5238 recall@top5: 0.7560 prec@top5: 0.3857 loss_action_cls: 0.0843 2023/03/10 17:09:29 - mmengine - INFO - Epoch(train) [2][4340/4451] lr: 1.3526e-06 eta: 15:25:41 time: 0.6360 data_time: 0.0134 memory: 51970 grad_norm: 0.1557 loss: 0.0868 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.6471 recall@top3: 0.7843 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.4118 loss_action_cls: 0.0868 2023/03/10 17:09:45 - mmengine - INFO - Epoch(train) [2][4360/4451] lr: 1.3550e-06 eta: 15:25:42 time: 0.7766 data_time: 0.0278 memory: 51970 grad_norm: 0.1541 loss: 0.0809 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.5648 recall@top3: 0.7778 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.4222 loss_action_cls: 0.0809 2023/03/10 17:09:58 - mmengine - INFO - Epoch(train) [2][4380/4451] lr: 1.3574e-06 eta: 15:25:24 time: 0.6655 data_time: 0.0449 memory: 51970 grad_norm: 0.1535 loss: 0.0908 recall@thr=0.5: 0.7528 prec@thr=0.5: 0.7667 recall@top3: 0.8222 prec@top3: 0.6556 recall@top5: 0.9778 prec@top5: 0.4733 loss_action_cls: 0.0908 2023/03/10 17:10:11 - mmengine - INFO - Epoch(train) [2][4400/4451] lr: 1.3598e-06 eta: 15:25:05 time: 0.6683 data_time: 0.0108 memory: 51970 grad_norm: 0.1524 loss: 0.1034 recall@thr=0.5: 0.5200 prec@thr=0.5: 0.5867 recall@top3: 0.8000 prec@top3: 0.5467 recall@top5: 0.8800 prec@top5: 0.3760 loss_action_cls: 0.1034 2023/03/10 17:10:25 - mmengine - INFO - Epoch(train) [2][4420/4451] lr: 1.3622e-06 eta: 15:24:52 time: 0.6966 data_time: 0.1289 memory: 51970 grad_norm: 0.1477 loss: 0.0743 recall@thr=0.5: 0.6325 prec@thr=0.5: 0.6140 recall@top3: 0.8342 prec@top3: 0.6316 recall@top5: 0.8886 prec@top5: 0.4105 loss_action_cls: 0.0743 2023/03/10 17:10:39 - mmengine - INFO - Epoch(train) [2][4440/4451] lr: 1.3646e-06 eta: 15:24:36 time: 0.6795 data_time: 0.1510 memory: 51970 grad_norm: 0.1454 loss: 0.0655 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.7685 recall@top3: 0.6759 prec@top3: 0.5370 recall@top5: 0.9722 prec@top5: 0.4778 loss_action_cls: 0.0655 2023/03/10 17:10:44 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 17:10:44 - mmengine - INFO - Epoch(train) [2][4451/4451] lr: 1.3660e-06 eta: 15:24:02 time: 0.5322 data_time: 0.0592 memory: 51970 grad_norm: 0.1485 loss: 0.0657 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6875 recall@top3: 0.8958 prec@top3: 0.4583 recall@top5: 0.9583 prec@top5: 0.3000 loss_action_cls: 0.0657 2023/03/10 17:10:44 - mmengine - INFO - Saving checkpoint at 2 epochs 2023/03/10 17:10:50 - mmengine - INFO - Epoch(val) [2][ 20/6282] eta: 0:09:11 time: 0.0881 data_time: 0.0440 memory: 2331 2023/03/10 17:10:51 - mmengine - INFO - Epoch(val) [2][ 40/6282] eta: 0:07:27 time: 0.0553 data_time: 0.0126 memory: 2331 2023/03/10 17:10:53 - mmengine - INFO - Epoch(val) [2][ 60/6282] eta: 0:07:11 time: 0.0648 data_time: 0.0190 memory: 2331 2023/03/10 17:10:54 - mmengine - INFO - Epoch(val) [2][ 80/6282] eta: 0:06:53 time: 0.0581 data_time: 0.0153 memory: 2331 2023/03/10 17:10:55 - mmengine - INFO - Epoch(val) [2][ 100/6282] eta: 0:06:52 time: 0.0672 data_time: 0.0226 memory: 2331 2023/03/10 17:10:56 - mmengine - INFO - Epoch(val) [2][ 120/6282] eta: 0:06:48 time: 0.0641 data_time: 0.0102 memory: 2934 2023/03/10 17:10:58 - mmengine - INFO - Epoch(val) [2][ 140/6282] eta: 0:07:03 time: 0.0852 data_time: 0.0259 memory: 2934 2023/03/10 17:10:59 - mmengine - INFO - Epoch(val) [2][ 160/6282] eta: 0:07:00 time: 0.0663 data_time: 0.0034 memory: 2934 2023/03/10 17:11:01 - mmengine - INFO - Epoch(val) [2][ 180/6282] eta: 0:06:56 time: 0.0648 data_time: 0.0042 memory: 2934 2023/03/10 17:11:02 - mmengine - INFO - Epoch(val) [2][ 200/6282] eta: 0:06:51 time: 0.0631 data_time: 0.0038 memory: 2934 2023/03/10 17:11:03 - mmengine - INFO - Epoch(val) [2][ 220/6282] eta: 0:06:44 time: 0.0566 data_time: 0.0096 memory: 2396 2023/03/10 17:11:04 - mmengine - INFO - Epoch(val) [2][ 240/6282] eta: 0:06:35 time: 0.0511 data_time: 0.0040 memory: 2396 2023/03/10 17:11:05 - mmengine - INFO - Epoch(val) [2][ 260/6282] eta: 0:06:30 time: 0.0587 data_time: 0.0129 memory: 2396 2023/03/10 17:11:06 - mmengine - INFO - Epoch(val) [2][ 280/6282] eta: 0:06:23 time: 0.0513 data_time: 0.0061 memory: 2396 2023/03/10 17:11:08 - mmengine - INFO - Epoch(val) [2][ 300/6282] eta: 0:06:24 time: 0.0690 data_time: 0.0170 memory: 2934 2023/03/10 17:11:09 - mmengine - INFO - Epoch(val) [2][ 320/6282] eta: 0:06:23 time: 0.0648 data_time: 0.0046 memory: 2934 2023/03/10 17:11:10 - mmengine - INFO - Epoch(val) [2][ 340/6282] eta: 0:06:24 time: 0.0721 data_time: 0.0100 memory: 2934 2023/03/10 17:11:12 - mmengine - INFO - Epoch(val) [2][ 360/6282] eta: 0:06:26 time: 0.0726 data_time: 0.0089 memory: 2934 2023/03/10 17:11:13 - mmengine - INFO - Epoch(val) [2][ 380/6282] eta: 0:06:29 time: 0.0802 data_time: 0.0193 memory: 2934 2023/03/10 17:11:15 - mmengine - INFO - Epoch(val) [2][ 400/6282] eta: 0:06:28 time: 0.0661 data_time: 0.0124 memory: 2934 2023/03/10 17:11:16 - mmengine - INFO - Epoch(val) [2][ 420/6282] eta: 0:06:27 time: 0.0670 data_time: 0.0199 memory: 2397 2023/03/10 17:11:18 - mmengine - INFO - Epoch(val) [2][ 440/6282] eta: 0:06:28 time: 0.0772 data_time: 0.0297 memory: 2397 2023/03/10 17:11:19 - mmengine - INFO - Epoch(val) [2][ 460/6282] eta: 0:06:28 time: 0.0692 data_time: 0.0206 memory: 2397 2023/03/10 17:11:20 - mmengine - INFO - Epoch(val) [2][ 480/6282] eta: 0:06:25 time: 0.0612 data_time: 0.0142 memory: 2397 2023/03/10 17:11:22 - mmengine - INFO - Epoch(val) [2][ 500/6282] eta: 0:06:23 time: 0.0632 data_time: 0.0169 memory: 2397 2023/03/10 17:11:23 - mmengine - INFO - Epoch(val) [2][ 520/6282] eta: 0:06:21 time: 0.0635 data_time: 0.0188 memory: 2396 2023/03/10 17:11:24 - mmengine - INFO - Epoch(val) [2][ 540/6282] eta: 0:06:20 time: 0.0705 data_time: 0.0214 memory: 2396 2023/03/10 17:11:26 - mmengine - INFO - Epoch(val) [2][ 560/6282] eta: 0:06:19 time: 0.0633 data_time: 0.0181 memory: 2396 2023/03/10 17:11:27 - mmengine - INFO - Epoch(val) [2][ 580/6282] eta: 0:06:19 time: 0.0747 data_time: 0.0280 memory: 2396 2023/03/10 17:11:28 - mmengine - INFO - Epoch(val) [2][ 600/6282] eta: 0:06:16 time: 0.0606 data_time: 0.0161 memory: 2396 2023/03/10 17:11:30 - mmengine - INFO - Epoch(val) [2][ 620/6282] eta: 0:06:15 time: 0.0660 data_time: 0.0228 memory: 2396 2023/03/10 17:11:30 - mmengine - INFO - Epoch(val) [2][ 640/6282] eta: 0:06:10 time: 0.0462 data_time: 0.0029 memory: 2332 2023/03/10 17:11:31 - mmengine - INFO - Epoch(val) [2][ 660/6282] eta: 0:06:06 time: 0.0488 data_time: 0.0031 memory: 2332 2023/03/10 17:11:32 - mmengine - INFO - Epoch(val) [2][ 680/6282] eta: 0:06:02 time: 0.0482 data_time: 0.0030 memory: 2332 2023/03/10 17:11:33 - mmengine - INFO - Epoch(val) [2][ 700/6282] eta: 0:05:58 time: 0.0476 data_time: 0.0033 memory: 2332 2023/03/10 17:11:35 - mmengine - INFO - Epoch(val) [2][ 720/6282] eta: 0:05:58 time: 0.0764 data_time: 0.0198 memory: 2934 2023/03/10 17:13:16 - mmengine - INFO - Epoch(val) [2][ 740/6282] eta: 0:18:28 time: 5.0759 data_time: 0.0453 memory: 2934 2023/03/10 17:13:19 - mmengine - INFO - Epoch(val) [2][ 760/6282] eta: 0:18:10 time: 0.1064 data_time: 0.0440 memory: 2934 2023/03/10 17:13:21 - mmengine - INFO - Epoch(val) [2][ 780/6282] eta: 0:17:53 time: 0.1037 data_time: 0.0437 memory: 2934 2023/03/10 17:13:22 - mmengine - INFO - Epoch(val) [2][ 800/6282] eta: 0:17:34 time: 0.0881 data_time: 0.0286 memory: 2934 2023/03/10 17:13:24 - mmengine - INFO - Epoch(val) [2][ 820/6282] eta: 0:17:15 time: 0.0755 data_time: 0.0238 memory: 2934 2023/03/10 17:13:25 - mmengine - INFO - Epoch(val) [2][ 840/6282] eta: 0:16:55 time: 0.0612 data_time: 0.0158 memory: 2396 2023/03/10 17:13:26 - mmengine - INFO - Epoch(val) [2][ 860/6282] eta: 0:16:36 time: 0.0670 data_time: 0.0208 memory: 2396 2023/03/10 17:13:28 - mmengine - INFO - Epoch(val) [2][ 880/6282] eta: 0:16:19 time: 0.0795 data_time: 0.0332 memory: 2396 2023/03/10 17:13:29 - mmengine - INFO - Epoch(val) [2][ 900/6282] eta: 0:16:02 time: 0.0692 data_time: 0.0247 memory: 2396 2023/03/10 17:13:31 - mmengine - INFO - Epoch(val) [2][ 920/6282] eta: 0:15:45 time: 0.0597 data_time: 0.0149 memory: 2396 2023/03/10 17:13:32 - mmengine - INFO - Epoch(val) [2][ 940/6282] eta: 0:15:29 time: 0.0696 data_time: 0.0262 memory: 2331 2023/03/10 17:13:33 - mmengine - INFO - Epoch(val) [2][ 960/6282] eta: 0:15:13 time: 0.0610 data_time: 0.0186 memory: 2331 2023/03/10 17:13:35 - mmengine - INFO - Epoch(val) [2][ 980/6282] eta: 0:14:58 time: 0.0640 data_time: 0.0196 memory: 2331 2023/03/10 17:13:36 - mmengine - INFO - Epoch(val) [2][1000/6282] eta: 0:14:43 time: 0.0594 data_time: 0.0150 memory: 2331 2023/03/10 17:13:37 - mmengine - INFO - Epoch(val) [2][1020/6282] eta: 0:14:29 time: 0.0679 data_time: 0.0252 memory: 2396 2023/03/10 17:13:38 - mmengine - INFO - Epoch(val) [2][1040/6282] eta: 0:14:16 time: 0.0634 data_time: 0.0140 memory: 2396 2023/03/10 17:13:40 - mmengine - INFO - Epoch(val) [2][1060/6282] eta: 0:14:03 time: 0.0653 data_time: 0.0181 memory: 2396 2023/03/10 17:13:41 - mmengine - INFO - Epoch(val) [2][1080/6282] eta: 0:13:50 time: 0.0621 data_time: 0.0171 memory: 2396 2023/03/10 17:13:42 - mmengine - INFO - Epoch(val) [2][1100/6282] eta: 0:13:39 time: 0.0754 data_time: 0.0270 memory: 2396 2023/03/10 17:13:44 - mmengine - INFO - Epoch(val) [2][1120/6282] eta: 0:13:27 time: 0.0610 data_time: 0.0155 memory: 2396 2023/03/10 17:13:45 - mmengine - INFO - Epoch(val) [2][1140/6282] eta: 0:13:16 time: 0.0680 data_time: 0.0233 memory: 2396 2023/03/10 17:13:46 - mmengine - INFO - Epoch(val) [2][1160/6282] eta: 0:13:04 time: 0.0585 data_time: 0.0129 memory: 2396 2023/03/10 17:13:47 - mmengine - INFO - Epoch(val) [2][1180/6282] eta: 0:12:52 time: 0.0508 data_time: 0.0045 memory: 2396 2023/03/10 17:13:48 - mmengine - INFO - Epoch(val) [2][1200/6282] eta: 0:12:42 time: 0.0608 data_time: 0.0148 memory: 2396 2023/03/10 17:13:49 - mmengine - INFO - Epoch(val) [2][1220/6282] eta: 0:12:30 time: 0.0502 data_time: 0.0022 memory: 2396 2023/03/10 17:13:51 - mmengine - INFO - Epoch(val) [2][1240/6282] eta: 0:12:23 time: 0.0941 data_time: 0.0330 memory: 2934 2023/03/10 17:13:53 - mmengine - INFO - Epoch(val) [2][1260/6282] eta: 0:12:16 time: 0.0946 data_time: 0.0336 memory: 2934 2023/03/10 17:13:55 - mmengine - INFO - Epoch(val) [2][1280/6282] eta: 0:12:09 time: 0.1005 data_time: 0.0388 memory: 2934 2023/03/10 17:13:57 - mmengine - INFO - Epoch(val) [2][1300/6282] eta: 0:12:03 time: 0.1023 data_time: 0.0407 memory: 2934 2023/03/10 17:13:59 - mmengine - INFO - Epoch(val) [2][1320/6282] eta: 0:11:56 time: 0.0946 data_time: 0.0329 memory: 2934 2023/03/10 17:14:01 - mmengine - INFO - Epoch(val) [2][1340/6282] eta: 0:11:50 time: 0.1018 data_time: 0.0394 memory: 2934 2023/03/10 17:14:03 - mmengine - INFO - Epoch(val) [2][1360/6282] eta: 0:11:44 time: 0.0936 data_time: 0.0310 memory: 2934 2023/03/10 17:14:05 - mmengine - INFO - Epoch(val) [2][1380/6282] eta: 0:11:38 time: 0.1002 data_time: 0.0366 memory: 2934 2023/03/10 17:14:07 - mmengine - INFO - Epoch(val) [2][1400/6282] eta: 0:11:31 time: 0.0842 data_time: 0.0226 memory: 2934 2023/03/10 17:14:09 - mmengine - INFO - Epoch(val) [2][1420/6282] eta: 0:11:26 time: 0.1181 data_time: 0.0573 memory: 2934 2023/03/10 17:14:11 - mmengine - INFO - Epoch(val) [2][1440/6282] eta: 0:11:19 time: 0.0732 data_time: 0.0121 memory: 2934 2023/03/10 17:14:12 - mmengine - INFO - Epoch(val) [2][1460/6282] eta: 0:11:11 time: 0.0653 data_time: 0.0059 memory: 2934 2023/03/10 17:14:13 - mmengine - INFO - Epoch(val) [2][1480/6282] eta: 0:11:04 time: 0.0730 data_time: 0.0121 memory: 2934 2023/03/10 17:14:15 - mmengine - INFO - Epoch(val) [2][1500/6282] eta: 0:10:57 time: 0.0738 data_time: 0.0143 memory: 2934 2023/03/10 17:14:16 - mmengine - INFO - Epoch(val) [2][1520/6282] eta: 0:10:50 time: 0.0641 data_time: 0.0035 memory: 3958 2023/03/10 17:14:18 - mmengine - INFO - Epoch(val) [2][1540/6282] eta: 0:10:44 time: 0.0853 data_time: 0.0022 memory: 3958 2023/03/10 17:14:20 - mmengine - INFO - Epoch(val) [2][1560/6282] eta: 0:10:38 time: 0.0857 data_time: 0.0025 memory: 3958 2023/03/10 17:14:21 - mmengine - INFO - Epoch(val) [2][1580/6282] eta: 0:10:33 time: 0.0854 data_time: 0.0024 memory: 3958 2023/03/10 17:14:23 - mmengine - INFO - Epoch(val) [2][1600/6282] eta: 0:10:27 time: 0.0851 data_time: 0.0023 memory: 3958 2023/03/10 17:14:25 - mmengine - INFO - Epoch(val) [2][1620/6282] eta: 0:10:22 time: 0.0856 data_time: 0.0025 memory: 3958 2023/03/10 17:14:26 - mmengine - INFO - Epoch(val) [2][1640/6282] eta: 0:10:15 time: 0.0634 data_time: 0.0030 memory: 2934 2023/03/10 17:14:27 - mmengine - INFO - Epoch(val) [2][1660/6282] eta: 0:10:08 time: 0.0617 data_time: 0.0023 memory: 2934 2023/03/10 17:14:29 - mmengine - INFO - Epoch(val) [2][1680/6282] eta: 0:10:03 time: 0.0747 data_time: 0.0141 memory: 2934 2023/03/10 17:14:30 - mmengine - INFO - Epoch(val) [2][1700/6282] eta: 0:09:57 time: 0.0759 data_time: 0.0159 memory: 2934 2023/03/10 17:14:32 - mmengine - INFO - Epoch(val) [2][1720/6282] eta: 0:09:51 time: 0.0756 data_time: 0.0152 memory: 2934 2023/03/10 17:14:33 - mmengine - INFO - Epoch(val) [2][1740/6282] eta: 0:09:46 time: 0.0773 data_time: 0.0131 memory: 2934 2023/03/10 17:14:35 - mmengine - INFO - Epoch(val) [2][1760/6282] eta: 0:09:41 time: 0.0744 data_time: 0.0121 memory: 2934 2023/03/10 17:14:36 - mmengine - INFO - Epoch(val) [2][1780/6282] eta: 0:09:35 time: 0.0728 data_time: 0.0119 memory: 2934 2023/03/10 17:14:38 - mmengine - INFO - Epoch(val) [2][1800/6282] eta: 0:09:30 time: 0.0750 data_time: 0.0137 memory: 2934 2023/03/10 17:14:39 - mmengine - INFO - Epoch(val) [2][1820/6282] eta: 0:09:24 time: 0.0644 data_time: 0.0031 memory: 2934 2023/03/10 17:14:40 - mmengine - INFO - Epoch(val) [2][1840/6282] eta: 0:09:19 time: 0.0651 data_time: 0.0035 memory: 2934 2023/03/10 17:14:42 - mmengine - INFO - Epoch(val) [2][1860/6282] eta: 0:09:15 time: 0.1000 data_time: 0.0385 memory: 2934 2023/03/10 17:14:44 - mmengine - INFO - Epoch(val) [2][1880/6282] eta: 0:09:11 time: 0.0922 data_time: 0.0306 memory: 2934 2023/03/10 17:14:46 - mmengine - INFO - Epoch(val) [2][1900/6282] eta: 0:09:08 time: 0.1106 data_time: 0.0442 memory: 2934 2023/03/10 17:14:48 - mmengine - INFO - Epoch(val) [2][1920/6282] eta: 0:09:04 time: 0.1037 data_time: 0.0437 memory: 2934 2023/03/10 17:14:50 - mmengine - INFO - Epoch(val) [2][1940/6282] eta: 0:09:01 time: 0.0956 data_time: 0.0397 memory: 2934 2023/03/10 17:14:52 - mmengine - INFO - Epoch(val) [2][1960/6282] eta: 0:08:56 time: 0.0734 data_time: 0.0260 memory: 2397 2023/03/10 17:14:53 - mmengine - INFO - Epoch(val) [2][1980/6282] eta: 0:08:51 time: 0.0788 data_time: 0.0334 memory: 2397 2023/03/10 17:14:55 - mmengine - INFO - Epoch(val) [2][2000/6282] eta: 0:08:47 time: 0.0673 data_time: 0.0205 memory: 2397 2023/03/10 17:14:56 - mmengine - INFO - Epoch(val) [2][2020/6282] eta: 0:08:43 time: 0.0896 data_time: 0.0432 memory: 2397 2023/03/10 17:14:58 - mmengine - INFO - Epoch(val) [2][2040/6282] eta: 0:08:38 time: 0.0728 data_time: 0.0250 memory: 2397 2023/03/10 17:15:00 - mmengine - INFO - Epoch(val) [2][2060/6282] eta: 0:08:34 time: 0.0814 data_time: 0.0352 memory: 2397 2023/03/10 17:15:01 - mmengine - INFO - Epoch(val) [2][2080/6282] eta: 0:08:30 time: 0.0714 data_time: 0.0261 memory: 2397 2023/03/10 17:15:03 - mmengine - INFO - Epoch(val) [2][2100/6282] eta: 0:08:26 time: 0.0960 data_time: 0.0513 memory: 2397 2023/03/10 17:15:04 - mmengine - INFO - Epoch(val) [2][2120/6282] eta: 0:08:22 time: 0.0709 data_time: 0.0229 memory: 2397 2023/03/10 17:15:06 - mmengine - INFO - Epoch(val) [2][2140/6282] eta: 0:08:18 time: 0.0771 data_time: 0.0298 memory: 2397 2023/03/10 17:15:07 - mmengine - INFO - Epoch(val) [2][2160/6282] eta: 0:08:13 time: 0.0709 data_time: 0.0262 memory: 2396 2023/03/10 17:15:09 - mmengine - INFO - Epoch(val) [2][2180/6282] eta: 0:08:10 time: 0.0814 data_time: 0.0344 memory: 2396 2023/03/10 17:15:10 - mmengine - INFO - Epoch(val) [2][2200/6282] eta: 0:08:05 time: 0.0691 data_time: 0.0223 memory: 2396 2023/03/10 17:15:12 - mmengine - INFO - Epoch(val) [2][2220/6282] eta: 0:08:01 time: 0.0802 data_time: 0.0356 memory: 2396 2023/03/10 17:15:13 - mmengine - INFO - Epoch(val) [2][2240/6282] eta: 0:07:57 time: 0.0709 data_time: 0.0263 memory: 2396 2023/03/10 17:15:15 - mmengine - INFO - Epoch(val) [2][2260/6282] eta: 0:07:54 time: 0.0838 data_time: 0.0350 memory: 2397 2023/03/10 17:15:16 - mmengine - INFO - Epoch(val) [2][2280/6282] eta: 0:07:50 time: 0.0710 data_time: 0.0250 memory: 2397 2023/03/10 17:15:18 - mmengine - INFO - Epoch(val) [2][2300/6282] eta: 0:07:47 time: 0.0940 data_time: 0.0461 memory: 2397 2023/03/10 17:15:20 - mmengine - INFO - Epoch(val) [2][2320/6282] eta: 0:07:43 time: 0.0690 data_time: 0.0237 memory: 2397 2023/03/10 17:15:21 - mmengine - INFO - Epoch(val) [2][2340/6282] eta: 0:07:39 time: 0.0809 data_time: 0.0335 memory: 2397 2023/03/10 17:15:23 - mmengine - INFO - Epoch(val) [2][2360/6282] eta: 0:07:35 time: 0.0706 data_time: 0.0236 memory: 2396 2023/03/10 17:15:24 - mmengine - INFO - Epoch(val) [2][2380/6282] eta: 0:07:32 time: 0.0811 data_time: 0.0336 memory: 2396 2023/03/10 17:15:26 - mmengine - INFO - Epoch(val) [2][2400/6282] eta: 0:07:28 time: 0.0698 data_time: 0.0221 memory: 2396 2023/03/10 17:15:27 - mmengine - INFO - Epoch(val) [2][2420/6282] eta: 0:07:24 time: 0.0794 data_time: 0.0304 memory: 2396 2023/03/10 17:15:29 - mmengine - INFO - Epoch(val) [2][2440/6282] eta: 0:07:21 time: 0.0656 data_time: 0.0198 memory: 2396 2023/03/10 17:15:30 - mmengine - INFO - Epoch(val) [2][2460/6282] eta: 0:07:17 time: 0.0830 data_time: 0.0239 memory: 2934 2023/03/10 17:15:32 - mmengine - INFO - Epoch(val) [2][2480/6282] eta: 0:07:14 time: 0.0740 data_time: 0.0122 memory: 2934 2023/03/10 17:15:33 - mmengine - INFO - Epoch(val) [2][2500/6282] eta: 0:07:10 time: 0.0771 data_time: 0.0153 memory: 2934 2023/03/10 17:15:35 - mmengine - INFO - Epoch(val) [2][2520/6282] eta: 0:07:07 time: 0.0735 data_time: 0.0123 memory: 2934 2023/03/10 17:15:36 - mmengine - INFO - Epoch(val) [2][2540/6282] eta: 0:07:04 time: 0.0825 data_time: 0.0202 memory: 2934 2023/03/10 17:15:39 - mmengine - INFO - Epoch(val) [2][2560/6282] eta: 0:07:01 time: 0.1051 data_time: 0.0428 memory: 2934 2023/03/10 17:15:41 - mmengine - INFO - Epoch(val) [2][2580/6282] eta: 0:06:59 time: 0.1084 data_time: 0.0456 memory: 2934 2023/03/10 17:15:43 - mmengine - INFO - Epoch(val) [2][2600/6282] eta: 0:06:56 time: 0.0988 data_time: 0.0363 memory: 2934 2023/03/10 17:15:45 - mmengine - INFO - Epoch(val) [2][2620/6282] eta: 0:06:54 time: 0.1029 data_time: 0.0406 memory: 2934 2023/03/10 17:15:47 - mmengine - INFO - Epoch(val) [2][2640/6282] eta: 0:06:51 time: 0.0873 data_time: 0.0273 memory: 2934 2023/03/10 17:15:48 - mmengine - INFO - Epoch(val) [2][2660/6282] eta: 0:06:48 time: 0.0876 data_time: 0.0028 memory: 3842 2023/03/10 17:15:50 - mmengine - INFO - Epoch(val) [2][2680/6282] eta: 0:06:45 time: 0.0860 data_time: 0.0024 memory: 3842 2023/03/10 17:15:52 - mmengine - INFO - Epoch(val) [2][2700/6282] eta: 0:06:42 time: 0.0838 data_time: 0.0025 memory: 3842 2023/03/10 17:15:53 - mmengine - INFO - Epoch(val) [2][2720/6282] eta: 0:06:39 time: 0.0844 data_time: 0.0025 memory: 3842 2023/03/10 17:15:55 - mmengine - INFO - Epoch(val) [2][2740/6282] eta: 0:06:36 time: 0.0810 data_time: 0.0025 memory: 3842 2023/03/10 17:15:56 - mmengine - INFO - Epoch(val) [2][2760/6282] eta: 0:06:32 time: 0.0487 data_time: 0.0021 memory: 2397 2023/03/10 17:15:57 - mmengine - INFO - Epoch(val) [2][2780/6282] eta: 0:06:29 time: 0.0747 data_time: 0.0213 memory: 2397 2023/03/10 17:15:59 - mmengine - INFO - Epoch(val) [2][2800/6282] eta: 0:06:26 time: 0.0818 data_time: 0.0355 memory: 2397 2023/03/10 17:16:01 - mmengine - INFO - Epoch(val) [2][2820/6282] eta: 0:06:23 time: 0.0730 data_time: 0.0282 memory: 2397 2023/03/10 17:16:02 - mmengine - INFO - Epoch(val) [2][2840/6282] eta: 0:06:19 time: 0.0746 data_time: 0.0281 memory: 2397 2023/03/10 17:16:04 - mmengine - INFO - Epoch(val) [2][2860/6282] eta: 0:06:17 time: 0.0821 data_time: 0.0239 memory: 2934 2023/03/10 17:16:05 - mmengine - INFO - Epoch(val) [2][2880/6282] eta: 0:06:14 time: 0.0855 data_time: 0.0226 memory: 2934 2023/03/10 17:16:07 - mmengine - INFO - Epoch(val) [2][2900/6282] eta: 0:06:11 time: 0.0831 data_time: 0.0240 memory: 2934 2023/03/10 17:16:09 - mmengine - INFO - Epoch(val) [2][2920/6282] eta: 0:06:08 time: 0.0830 data_time: 0.0290 memory: 2934 2023/03/10 17:16:10 - mmengine - INFO - Epoch(val) [2][2940/6282] eta: 0:06:05 time: 0.0731 data_time: 0.0225 memory: 2609 2023/03/10 17:16:12 - mmengine - INFO - Epoch(val) [2][2960/6282] eta: 0:06:02 time: 0.0807 data_time: 0.0305 memory: 2609 2023/03/10 17:16:13 - mmengine - INFO - Epoch(val) [2][2980/6282] eta: 0:05:59 time: 0.0744 data_time: 0.0238 memory: 2609 2023/03/10 17:16:15 - mmengine - INFO - Epoch(val) [2][3000/6282] eta: 0:05:56 time: 0.0790 data_time: 0.0262 memory: 2609 2023/03/10 17:16:16 - mmengine - INFO - Epoch(val) [2][3020/6282] eta: 0:05:54 time: 0.0766 data_time: 0.0155 memory: 2934 2023/03/10 17:16:18 - mmengine - INFO - Epoch(val) [2][3040/6282] eta: 0:05:51 time: 0.0924 data_time: 0.0331 memory: 2934 2023/03/10 17:16:20 - mmengine - INFO - Epoch(val) [2][3060/6282] eta: 0:05:49 time: 0.1026 data_time: 0.0404 memory: 2934 2023/03/10 17:16:22 - mmengine - INFO - Epoch(val) [2][3080/6282] eta: 0:05:46 time: 0.0725 data_time: 0.0124 memory: 2934 2023/03/10 17:16:23 - mmengine - INFO - Epoch(val) [2][3100/6282] eta: 0:05:43 time: 0.0805 data_time: 0.0269 memory: 2934 2023/03/10 17:16:25 - mmengine - INFO - Epoch(val) [2][3120/6282] eta: 0:05:40 time: 0.0727 data_time: 0.0279 memory: 2397 2023/03/10 17:16:26 - mmengine - INFO - Epoch(val) [2][3140/6282] eta: 0:05:38 time: 0.0783 data_time: 0.0336 memory: 2397 2023/03/10 17:16:28 - mmengine - INFO - Epoch(val) [2][3160/6282] eta: 0:05:35 time: 0.0743 data_time: 0.0293 memory: 2397 2023/03/10 17:16:29 - mmengine - INFO - Epoch(val) [2][3180/6282] eta: 0:05:32 time: 0.0716 data_time: 0.0244 memory: 2397 2023/03/10 17:16:31 - mmengine - INFO - Epoch(val) [2][3200/6282] eta: 0:05:29 time: 0.0750 data_time: 0.0155 memory: 2934 2023/03/10 17:16:32 - mmengine - INFO - Epoch(val) [2][3220/6282] eta: 0:05:26 time: 0.0776 data_time: 0.0168 memory: 2934 2023/03/10 17:16:34 - mmengine - INFO - Epoch(val) [2][3240/6282] eta: 0:05:24 time: 0.0779 data_time: 0.0146 memory: 2934 2023/03/10 17:16:36 - mmengine - INFO - Epoch(val) [2][3260/6282] eta: 0:05:21 time: 0.0880 data_time: 0.0215 memory: 2934 2023/03/10 17:16:37 - mmengine - INFO - Epoch(val) [2][3280/6282] eta: 0:05:19 time: 0.0732 data_time: 0.0109 memory: 2934 2023/03/10 17:16:39 - mmengine - INFO - Epoch(val) [2][3300/6282] eta: 0:05:16 time: 0.0924 data_time: 0.0309 memory: 2934 2023/03/10 17:16:40 - mmengine - INFO - Epoch(val) [2][3320/6282] eta: 0:05:13 time: 0.0724 data_time: 0.0107 memory: 2934 2023/03/10 17:16:42 - mmengine - INFO - Epoch(val) [2][3340/6282] eta: 0:05:11 time: 0.0791 data_time: 0.0159 memory: 2934 2023/03/10 17:16:44 - mmengine - INFO - Epoch(val) [2][3360/6282] eta: 0:05:08 time: 0.0721 data_time: 0.0123 memory: 2934 2023/03/10 17:16:45 - mmengine - INFO - Epoch(val) [2][3380/6282] eta: 0:05:06 time: 0.0773 data_time: 0.0194 memory: 2934 2023/03/10 17:16:46 - mmengine - INFO - Epoch(val) [2][3400/6282] eta: 0:05:03 time: 0.0694 data_time: 0.0246 memory: 2396 2023/03/10 17:16:48 - mmengine - INFO - Epoch(val) [2][3420/6282] eta: 0:05:00 time: 0.0841 data_time: 0.0375 memory: 2396 2023/03/10 17:16:50 - mmengine - INFO - Epoch(val) [2][3440/6282] eta: 0:04:58 time: 0.0693 data_time: 0.0246 memory: 2396 2023/03/10 17:16:51 - mmengine - INFO - Epoch(val) [2][3460/6282] eta: 0:04:55 time: 0.0834 data_time: 0.0387 memory: 2396 2023/03/10 17:16:53 - mmengine - INFO - Epoch(val) [2][3480/6282] eta: 0:04:53 time: 0.0740 data_time: 0.0263 memory: 2396 2023/03/10 17:16:54 - mmengine - INFO - Epoch(val) [2][3500/6282] eta: 0:04:50 time: 0.0809 data_time: 0.0364 memory: 2396 2023/03/10 17:16:56 - mmengine - INFO - Epoch(val) [2][3520/6282] eta: 0:04:48 time: 0.0763 data_time: 0.0259 memory: 2396 2023/03/10 17:16:57 - mmengine - INFO - Epoch(val) [2][3540/6282] eta: 0:04:45 time: 0.0794 data_time: 0.0348 memory: 2396 2023/03/10 17:17:00 - mmengine - INFO - Epoch(val) [2][3560/6282] eta: 0:04:43 time: 0.1251 data_time: 0.0804 memory: 2396 2023/03/10 17:17:01 - mmengine - INFO - Epoch(val) [2][3580/6282] eta: 0:04:41 time: 0.0793 data_time: 0.0267 memory: 2765 2023/03/10 17:17:03 - mmengine - INFO - Epoch(val) [2][3600/6282] eta: 0:04:38 time: 0.0747 data_time: 0.0205 memory: 2765 2023/03/10 17:17:05 - mmengine - INFO - Epoch(val) [2][3620/6282] eta: 0:04:36 time: 0.0780 data_time: 0.0217 memory: 2765 2023/03/10 17:17:06 - mmengine - INFO - Epoch(val) [2][3640/6282] eta: 0:04:33 time: 0.0709 data_time: 0.0134 memory: 2765 2023/03/10 17:17:07 - mmengine - INFO - Epoch(val) [2][3660/6282] eta: 0:04:31 time: 0.0736 data_time: 0.0172 memory: 2765 2023/03/10 17:17:09 - mmengine - INFO - Epoch(val) [2][3680/6282] eta: 0:04:28 time: 0.0656 data_time: 0.0082 memory: 2934 2023/03/10 17:17:10 - mmengine - INFO - Epoch(val) [2][3700/6282] eta: 0:04:26 time: 0.0843 data_time: 0.0242 memory: 2934 2023/03/10 17:17:12 - mmengine - INFO - Epoch(val) [2][3720/6282] eta: 0:04:23 time: 0.0714 data_time: 0.0116 memory: 2934 2023/03/10 17:17:14 - mmengine - INFO - Epoch(val) [2][3740/6282] eta: 0:04:21 time: 0.0821 data_time: 0.0209 memory: 2934 2023/03/10 17:17:15 - mmengine - INFO - Epoch(val) [2][3760/6282] eta: 0:04:19 time: 0.0730 data_time: 0.0131 memory: 2934 2023/03/10 17:17:17 - mmengine - INFO - Epoch(val) [2][3780/6282] eta: 0:04:16 time: 0.0798 data_time: 0.0184 memory: 2934 2023/03/10 17:17:18 - mmengine - INFO - Epoch(val) [2][3800/6282] eta: 0:04:14 time: 0.0875 data_time: 0.0274 memory: 2934 2023/03/10 17:17:20 - mmengine - INFO - Epoch(val) [2][3820/6282] eta: 0:04:12 time: 0.0809 data_time: 0.0209 memory: 2934 2023/03/10 17:17:21 - mmengine - INFO - Epoch(val) [2][3840/6282] eta: 0:04:09 time: 0.0737 data_time: 0.0124 memory: 2934 2023/03/10 17:17:23 - mmengine - INFO - Epoch(val) [2][3860/6282] eta: 0:04:07 time: 0.0837 data_time: 0.0210 memory: 2934 2023/03/10 17:17:25 - mmengine - INFO - Epoch(val) [2][3880/6282] eta: 0:04:05 time: 0.0763 data_time: 0.0143 memory: 2934 2023/03/10 17:17:26 - mmengine - INFO - Epoch(val) [2][3900/6282] eta: 0:04:02 time: 0.0771 data_time: 0.0149 memory: 2934 2023/03/10 17:17:28 - mmengine - INFO - Epoch(val) [2][3920/6282] eta: 0:04:00 time: 0.0766 data_time: 0.0168 memory: 2934 2023/03/10 17:17:29 - mmengine - INFO - Epoch(val) [2][3940/6282] eta: 0:03:58 time: 0.0871 data_time: 0.0276 memory: 2934 2023/03/10 17:17:31 - mmengine - INFO - Epoch(val) [2][3960/6282] eta: 0:03:55 time: 0.0700 data_time: 0.0063 memory: 2934 2023/03/10 17:17:33 - mmengine - INFO - Epoch(val) [2][3980/6282] eta: 0:03:53 time: 0.0836 data_time: 0.0239 memory: 2934 2023/03/10 17:17:34 - mmengine - INFO - Epoch(val) [2][4000/6282] eta: 0:03:51 time: 0.0721 data_time: 0.0129 memory: 2934 2023/03/10 17:17:36 - mmengine - INFO - Epoch(val) [2][4020/6282] eta: 0:03:48 time: 0.0791 data_time: 0.0197 memory: 2934 2023/03/10 17:17:37 - mmengine - INFO - Epoch(val) [2][4040/6282] eta: 0:03:46 time: 0.0756 data_time: 0.0127 memory: 3842 2023/03/10 17:17:39 - mmengine - INFO - Epoch(val) [2][4060/6282] eta: 0:03:44 time: 0.0872 data_time: 0.0029 memory: 3842 2023/03/10 17:17:41 - mmengine - INFO - Epoch(val) [2][4080/6282] eta: 0:03:42 time: 0.0862 data_time: 0.0022 memory: 3842 2023/03/10 17:17:42 - mmengine - INFO - Epoch(val) [2][4100/6282] eta: 0:03:40 time: 0.0833 data_time: 0.0024 memory: 3842 2023/03/10 17:17:44 - mmengine - INFO - Epoch(val) [2][4120/6282] eta: 0:03:37 time: 0.0854 data_time: 0.0025 memory: 3842 2023/03/10 17:17:45 - mmengine - INFO - Epoch(val) [2][4140/6282] eta: 0:03:35 time: 0.0712 data_time: 0.0024 memory: 3842 2023/03/10 17:17:46 - mmengine - INFO - Epoch(val) [2][4160/6282] eta: 0:03:33 time: 0.0522 data_time: 0.0056 memory: 2396 2023/03/10 17:17:48 - mmengine - INFO - Epoch(val) [2][4180/6282] eta: 0:03:30 time: 0.0826 data_time: 0.0357 memory: 2396 2023/03/10 17:17:50 - mmengine - INFO - Epoch(val) [2][4200/6282] eta: 0:03:28 time: 0.0762 data_time: 0.0306 memory: 2396 2023/03/10 17:17:51 - mmengine - INFO - Epoch(val) [2][4220/6282] eta: 0:03:26 time: 0.0742 data_time: 0.0291 memory: 2396 2023/03/10 17:17:53 - mmengine - INFO - Epoch(val) [2][4240/6282] eta: 0:03:24 time: 0.0764 data_time: 0.0301 memory: 2396 2023/03/10 17:17:54 - mmengine - INFO - Epoch(val) [2][4260/6282] eta: 0:03:21 time: 0.0739 data_time: 0.0270 memory: 2396 2023/03/10 17:17:56 - mmengine - INFO - Epoch(val) [2][4280/6282] eta: 0:03:19 time: 0.0780 data_time: 0.0304 memory: 2396 2023/03/10 17:17:57 - mmengine - INFO - Epoch(val) [2][4300/6282] eta: 0:03:17 time: 0.0802 data_time: 0.0353 memory: 2396 2023/03/10 17:17:59 - mmengine - INFO - Epoch(val) [2][4320/6282] eta: 0:03:15 time: 0.0760 data_time: 0.0290 memory: 2396 2023/03/10 17:18:00 - mmengine - INFO - Epoch(val) [2][4340/6282] eta: 0:03:13 time: 0.0795 data_time: 0.0315 memory: 2396 2023/03/10 17:18:02 - mmengine - INFO - Epoch(val) [2][4360/6282] eta: 0:03:10 time: 0.0790 data_time: 0.0187 memory: 2934 2023/03/10 17:18:04 - mmengine - INFO - Epoch(val) 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17:19:13 - mmengine - INFO - Epoch(val) [2][5360/6282] eta: 0:01:26 time: 0.0644 data_time: 0.0184 memory: 2396 2023/03/10 17:19:14 - mmengine - INFO - Epoch(val) [2][5380/6282] eta: 0:01:24 time: 0.0639 data_time: 0.0192 memory: 2396 2023/03/10 17:19:15 - mmengine - INFO - Epoch(val) [2][5400/6282] eta: 0:01:22 time: 0.0669 data_time: 0.0223 memory: 2396 2023/03/10 17:19:17 - mmengine - INFO - Epoch(val) [2][5420/6282] eta: 0:01:20 time: 0.0631 data_time: 0.0169 memory: 2396 2023/03/10 17:19:19 - mmengine - INFO - Epoch(val) [2][5440/6282] eta: 0:01:18 time: 0.1084 data_time: 0.0636 memory: 2396 2023/03/10 17:19:20 - mmengine - INFO - Epoch(val) [2][5460/6282] eta: 0:01:16 time: 0.0666 data_time: 0.0219 memory: 2396 2023/03/10 17:19:21 - mmengine - INFO - Epoch(val) [2][5480/6282] eta: 0:01:15 time: 0.0613 data_time: 0.0165 memory: 2396 2023/03/10 17:19:23 - mmengine - INFO - Epoch(val) [2][5500/6282] eta: 0:01:13 time: 0.0654 data_time: 0.0192 memory: 2396 2023/03/10 17:19:24 - mmengine - INFO - Epoch(val) [2][5520/6282] eta: 0:01:11 time: 0.0652 data_time: 0.0120 memory: 2608 2023/03/10 17:19:25 - mmengine - INFO - Epoch(val) [2][5540/6282] eta: 0:01:09 time: 0.0629 data_time: 0.0121 memory: 2608 2023/03/10 17:19:26 - mmengine - INFO - Epoch(val) [2][5560/6282] eta: 0:01:07 time: 0.0626 data_time: 0.0114 memory: 2608 2023/03/10 17:19:28 - mmengine - INFO - Epoch(val) [2][5580/6282] eta: 0:01:05 time: 0.0689 data_time: 0.0199 memory: 2608 2023/03/10 17:19:29 - mmengine - INFO - Epoch(val) [2][5600/6282] eta: 0:01:03 time: 0.0615 data_time: 0.0101 memory: 2608 2023/03/10 17:19:30 - mmengine - INFO - Epoch(val) [2][5620/6282] eta: 0:01:01 time: 0.0656 data_time: 0.0175 memory: 2608 2023/03/10 17:19:32 - mmengine - INFO - Epoch(val) [2][5640/6282] eta: 0:00:59 time: 0.0648 data_time: 0.0193 memory: 2396 2023/03/10 17:19:33 - mmengine - INFO - Epoch(val) [2][5660/6282] eta: 0:00:57 time: 0.0674 data_time: 0.0228 memory: 2396 2023/03/10 17:19:34 - mmengine - INFO 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eta: 0:00:25 time: 0.0638 data_time: 0.0067 memory: 2934 2023/03/10 17:19:56 - mmengine - INFO - Epoch(val) [2][6020/6282] eta: 0:00:23 time: 0.0632 data_time: 0.0021 memory: 2934 2023/03/10 17:19:58 - mmengine - INFO - Epoch(val) [2][6040/6282] eta: 0:00:21 time: 0.0641 data_time: 0.0023 memory: 2934 2023/03/10 17:19:59 - mmengine - INFO - Epoch(val) [2][6060/6282] eta: 0:00:20 time: 0.0647 data_time: 0.0024 memory: 2934 2023/03/10 17:20:00 - mmengine - INFO - Epoch(val) [2][6080/6282] eta: 0:00:18 time: 0.0646 data_time: 0.0028 memory: 2934 2023/03/10 17:20:02 - mmengine - INFO - Epoch(val) [2][6100/6282] eta: 0:00:16 time: 0.0649 data_time: 0.0029 memory: 2934 2023/03/10 17:20:03 - mmengine - INFO - Epoch(val) [2][6120/6282] eta: 0:00:14 time: 0.0654 data_time: 0.0028 memory: 2934 2023/03/10 17:20:04 - mmengine - INFO - Epoch(val) [2][6140/6282] eta: 0:00:12 time: 0.0643 data_time: 0.0027 memory: 2934 2023/03/10 17:20:06 - mmengine - INFO - Epoch(val) [2][6160/6282] eta: 0:00:11 time: 0.0638 data_time: 0.0024 memory: 2934 2023/03/10 17:20:07 - mmengine - INFO - Epoch(val) [2][6180/6282] eta: 0:00:09 time: 0.0654 data_time: 0.0059 memory: 2934 2023/03/10 17:20:08 - mmengine - INFO - Epoch(val) [2][6200/6282] eta: 0:00:07 time: 0.0666 data_time: 0.0045 memory: 2934 2023/03/10 17:20:10 - mmengine - INFO - Epoch(val) [2][6220/6282] eta: 0:00:05 time: 0.0669 data_time: 0.0046 memory: 2934 2023/03/10 17:20:11 - mmengine - INFO - Epoch(val) [2][6240/6282] eta: 0:00:03 time: 0.0628 data_time: 0.0020 memory: 2934 2023/03/10 17:20:12 - mmengine - INFO - Epoch(val) [2][6260/6282] eta: 0:00:01 time: 0.0609 data_time: 0.0020 memory: 2934 2023/03/10 17:20:13 - mmengine - INFO - Epoch(val) [2][6280/6282] eta: 0:00:00 time: 0.0604 data_time: 0.0017 memory: 2934 2023/03/10 17:24:59 - mmengine - INFO - Epoch(val) [2][6282/6282] mAP/mAP@0.5IOU: 0.2645 2023/03/10 17:24:59 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_1.pth is removed 2023/03/10 17:25:02 - mmengine - INFO - The best checkpoint with 0.2645 mAP/mAP@0.5IOU at 2 epoch is saved to best_mAP/mAP@0.5IOU_epoch_2.pth. 2023/03/10 17:25:22 - mmengine - INFO - Epoch(train) [3][ 20/4451] lr: 1.3684e-06 eta: 15:24:41 time: 0.9882 data_time: 0.5684 memory: 51970 grad_norm: 0.1527 loss: 0.0840 recall@thr=0.5: 0.6543 prec@thr=0.5: 0.5679 recall@top3: 0.7716 prec@top3: 0.3827 recall@top5: 0.9259 prec@top5: 0.2741 loss_action_cls: 0.0840 2023/03/10 17:25:34 - mmengine - INFO - Epoch(train) [3][ 40/4451] lr: 1.3708e-06 eta: 15:24:12 time: 0.6104 data_time: 0.1905 memory: 51970 grad_norm: 0.1489 loss: 0.0726 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.7292 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9028 prec@top5: 0.4417 loss_action_cls: 0.0726 2023/03/10 17:25:49 - mmengine - INFO - Epoch(train) [3][ 60/4451] lr: 1.3732e-06 eta: 15:24:08 time: 0.7440 data_time: 0.3237 memory: 51970 grad_norm: 0.1477 loss: 0.0867 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.8910 recall@top3: 0.7628 prec@top3: 0.7051 recall@top5: 0.9103 prec@top5: 0.5154 loss_action_cls: 0.0867 2023/03/10 17:26:03 - mmengine - INFO - Epoch(train) [3][ 80/4451] lr: 1.3756e-06 eta: 15:24:00 time: 0.7262 data_time: 0.3057 memory: 51970 grad_norm: 0.1467 loss: 0.0810 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7381 recall@top3: 0.9286 prec@top3: 0.5714 recall@top5: 0.9286 prec@top5: 0.3429 loss_action_cls: 0.0810 2023/03/10 17:26:18 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 17:26:19 - mmengine - INFO - Epoch(train) [3][ 100/4451] lr: 1.3780e-06 eta: 15:24:03 time: 0.7893 data_time: 0.3206 memory: 51970 grad_norm: 0.1513 loss: 0.0847 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6523 recall@top3: 0.8563 prec@top3: 0.5287 recall@top5: 0.9483 prec@top5: 0.3586 loss_action_cls: 0.0847 2023/03/10 17:26:33 - mmengine - INFO - Epoch(train) [3][ 120/4451] lr: 1.3804e-06 eta: 15:23:53 time: 0.7137 data_time: 0.2166 memory: 51970 grad_norm: 0.1503 loss: 0.0727 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7542 recall@top3: 0.8375 prec@top3: 0.5500 recall@top5: 0.9542 prec@top5: 0.3900 loss_action_cls: 0.0727 2023/03/10 17:26:47 - mmengine - INFO - Epoch(train) [3][ 140/4451] lr: 1.3828e-06 eta: 15:23:39 time: 0.6928 data_time: 0.2015 memory: 51970 grad_norm: 0.1454 loss: 0.0735 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7451 recall@top3: 0.8137 prec@top3: 0.6471 recall@top5: 0.8824 prec@top5: 0.4235 loss_action_cls: 0.0735 2023/03/10 17:27:02 - mmengine - INFO - Epoch(train) [3][ 160/4451] lr: 1.3852e-06 eta: 15:23:33 time: 0.7368 data_time: 0.0928 memory: 51970 grad_norm: 0.1470 loss: 0.0827 recall@thr=0.5: 0.6424 prec@thr=0.5: 0.7708 recall@top3: 0.7674 prec@top3: 0.7222 recall@top5: 0.8958 prec@top5: 0.5167 loss_action_cls: 0.0827 2023/03/10 17:27:18 - mmengine - INFO - Epoch(train) [3][ 180/4451] lr: 1.3876e-06 eta: 15:23:37 time: 0.7955 data_time: 0.2051 memory: 51970 grad_norm: 0.1485 loss: 0.0860 recall@thr=0.5: 0.4097 prec@thr=0.5: 0.3681 recall@top3: 0.6528 prec@top3: 0.3750 recall@top5: 0.7917 prec@top5: 0.2833 loss_action_cls: 0.0860 2023/03/10 17:27:30 - mmengine - INFO - Epoch(train) [3][ 200/4451] lr: 1.3900e-06 eta: 15:23:05 time: 0.5878 data_time: 0.1641 memory: 51970 grad_norm: 0.1490 loss: 0.0724 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6515 recall@top3: 0.7348 prec@top3: 0.5152 recall@top5: 0.8788 prec@top5: 0.3545 loss_action_cls: 0.0724 2023/03/10 17:27:45 - mmengine - INFO - Epoch(train) [3][ 220/4451] lr: 1.3924e-06 eta: 15:23:01 time: 0.7530 data_time: 0.2344 memory: 51970 grad_norm: 0.1528 loss: 0.0906 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.6515 recall@top3: 0.7348 prec@top3: 0.5152 recall@top5: 0.8485 prec@top5: 0.3727 loss_action_cls: 0.0906 2023/03/10 17:28:00 - mmengine - INFO - Epoch(train) [3][ 240/4451] lr: 1.3948e-06 eta: 15:23:04 time: 0.7854 data_time: 0.0148 memory: 51970 grad_norm: 0.1423 loss: 0.0811 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.5913 recall@top3: 0.7063 prec@top3: 0.6032 recall@top5: 0.8730 prec@top5: 0.4571 loss_action_cls: 0.0811 2023/03/10 17:28:14 - mmengine - INFO - Epoch(train) [3][ 260/4451] lr: 1.3972e-06 eta: 15:22:45 time: 0.6652 data_time: 0.0127 memory: 51970 grad_norm: 0.1486 loss: 0.0733 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5833 recall@top3: 0.6146 prec@top3: 0.4792 recall@top5: 0.8594 prec@top5: 0.4000 loss_action_cls: 0.0733 2023/03/10 17:28:30 - mmengine - INFO - Epoch(train) [3][ 280/4451] lr: 1.3996e-06 eta: 15:22:50 time: 0.8052 data_time: 0.0121 memory: 51970 grad_norm: 0.1561 loss: 0.0764 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6510 recall@top3: 0.7458 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4750 loss_action_cls: 0.0764 2023/03/10 17:28:43 - mmengine - INFO - Epoch(train) [3][ 300/4451] lr: 1.4020e-06 eta: 15:22:30 time: 0.6538 data_time: 0.0128 memory: 51970 grad_norm: 0.1548 loss: 0.0729 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.6692 recall@top3: 0.6667 prec@top3: 0.5253 recall@top5: 0.9293 prec@top5: 0.4545 loss_action_cls: 0.0729 2023/03/10 17:28:59 - mmengine - INFO - Epoch(train) [3][ 320/4451] lr: 1.4044e-06 eta: 15:22:33 time: 0.7926 data_time: 0.0115 memory: 51970 grad_norm: 0.1550 loss: 0.0733 recall@thr=0.5: 0.5350 prec@thr=0.5: 0.6025 recall@top3: 0.6892 prec@top3: 0.6667 recall@top5: 0.8808 prec@top5: 0.4700 loss_action_cls: 0.0733 2023/03/10 17:29:12 - mmengine - INFO - Epoch(train) [3][ 340/4451] lr: 1.4068e-06 eta: 15:22:18 time: 0.6852 data_time: 0.0142 memory: 51970 grad_norm: 0.1483 loss: 0.0842 recall@thr=0.5: 0.5096 prec@thr=0.5: 0.5449 recall@top3: 0.8173 prec@top3: 0.5256 recall@top5: 0.8365 prec@top5: 0.3231 loss_action_cls: 0.0842 2023/03/10 17:29:26 - mmengine - INFO - Epoch(train) [3][ 360/4451] lr: 1.4092e-06 eta: 15:21:59 time: 0.6678 data_time: 0.0121 memory: 51970 grad_norm: 0.1460 loss: 0.0666 recall@thr=0.5: 0.4740 prec@thr=0.5: 0.6875 recall@top3: 0.6927 prec@top3: 0.5625 recall@top5: 0.9792 prec@top5: 0.4500 loss_action_cls: 0.0666 2023/03/10 17:29:41 - mmengine - INFO - Epoch(train) [3][ 380/4451] lr: 1.4116e-06 eta: 15:21:55 time: 0.7489 data_time: 0.0134 memory: 51970 grad_norm: 0.1559 loss: 0.0782 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6750 recall@top3: 0.7833 prec@top3: 0.4833 recall@top5: 0.8583 prec@top5: 0.3300 loss_action_cls: 0.0782 2023/03/10 17:29:55 - mmengine - INFO - Epoch(train) [3][ 400/4451] lr: 1.4140e-06 eta: 15:21:43 time: 0.7069 data_time: 0.0118 memory: 51970 grad_norm: 0.1562 loss: 0.0818 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5114 recall@top3: 0.7311 prec@top3: 0.6061 recall@top5: 0.9015 prec@top5: 0.4455 loss_action_cls: 0.0818 2023/03/10 17:30:08 - mmengine - INFO - Epoch(train) [3][ 420/4451] lr: 1.4164e-06 eta: 15:21:23 time: 0.6559 data_time: 0.0441 memory: 51970 grad_norm: 0.1501 loss: 0.0652 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.6771 recall@top3: 0.7656 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0652 2023/03/10 17:30:22 - mmengine - INFO - Epoch(train) [3][ 440/4451] lr: 1.4188e-06 eta: 15:21:13 time: 0.7140 data_time: 0.0306 memory: 51970 grad_norm: 0.1550 loss: 0.0822 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7812 recall@top3: 0.8438 prec@top3: 0.6042 recall@top5: 0.9583 prec@top5: 0.4125 loss_action_cls: 0.0822 2023/03/10 17:30:37 - mmengine - INFO - Epoch(train) [3][ 460/4451] lr: 1.4212e-06 eta: 15:21:03 time: 0.7204 data_time: 0.0117 memory: 51970 grad_norm: 0.1548 loss: 0.0640 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.7750 recall@top3: 0.8333 prec@top3: 0.6333 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0640 2023/03/10 17:30:52 - mmengine - INFO - Epoch(train) [3][ 480/4451] lr: 1.4236e-06 eta: 15:21:00 time: 0.7551 data_time: 0.1095 memory: 51970 grad_norm: 0.1465 loss: 0.0927 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5952 recall@top3: 0.7857 prec@top3: 0.5238 recall@top5: 0.8214 prec@top5: 0.3286 loss_action_cls: 0.0927 2023/03/10 17:31:05 - mmengine - INFO - Epoch(train) [3][ 500/4451] lr: 1.4260e-06 eta: 15:20:44 time: 0.6810 data_time: 0.1645 memory: 51970 grad_norm: 0.1479 loss: 0.0870 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.8462 recall@top3: 0.9359 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.4769 loss_action_cls: 0.0870 2023/03/10 17:31:21 - mmengine - INFO - Epoch(train) [3][ 520/4451] lr: 1.4284e-06 eta: 15:20:43 time: 0.7726 data_time: 0.0637 memory: 51970 grad_norm: 0.1485 loss: 0.0924 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.5903 recall@top3: 0.6458 prec@top3: 0.5000 recall@top5: 0.7986 prec@top5: 0.3583 loss_action_cls: 0.0924 2023/03/10 17:31:35 - mmengine - INFO - Epoch(train) [3][ 540/4451] lr: 1.4308e-06 eta: 15:20:33 time: 0.7149 data_time: 0.0393 memory: 51970 grad_norm: 0.1532 loss: 0.0843 recall@thr=0.5: 0.3833 prec@thr=0.5: 0.5750 recall@top3: 0.6500 prec@top3: 0.5167 recall@top5: 0.8583 prec@top5: 0.4000 loss_action_cls: 0.0843 2023/03/10 17:31:52 - mmengine - INFO - Epoch(train) [3][ 560/4451] lr: 1.4332e-06 eta: 15:20:43 time: 0.8386 data_time: 0.0115 memory: 51970 grad_norm: 0.1506 loss: 0.0670 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.5784 recall@top3: 0.7647 prec@top3: 0.3922 recall@top5: 0.9412 prec@top5: 0.2824 loss_action_cls: 0.0670 2023/03/10 17:32:06 - mmengine - INFO - Epoch(train) [3][ 580/4451] lr: 1.4356e-06 eta: 15:20:30 time: 0.6974 data_time: 0.0122 memory: 51970 grad_norm: 0.1630 loss: 0.0747 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7063 recall@top3: 0.7619 prec@top3: 0.5714 recall@top5: 0.8889 prec@top5: 0.4190 loss_action_cls: 0.0747 2023/03/10 17:32:21 - mmengine - INFO - Epoch(train) [3][ 600/4451] lr: 1.4380e-06 eta: 15:20:27 time: 0.7576 data_time: 0.0103 memory: 51970 grad_norm: 0.1530 loss: 0.0714 recall@thr=0.5: 0.3367 prec@thr=0.5: 0.5000 recall@top3: 0.5350 prec@top3: 0.4833 recall@top5: 0.7800 prec@top5: 0.4000 loss_action_cls: 0.0714 2023/03/10 17:32:33 - mmengine - INFO - Epoch(train) [3][ 620/4451] lr: 1.4404e-06 eta: 15:19:56 time: 0.5971 data_time: 0.0125 memory: 51970 grad_norm: 0.1453 loss: 0.0891 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.7375 recall@top3: 0.6917 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4900 loss_action_cls: 0.0891 2023/03/10 17:32:49 - mmengine - INFO - Epoch(train) [3][ 640/4451] lr: 1.4428e-06 eta: 15:20:03 time: 0.8182 data_time: 0.0139 memory: 51970 grad_norm: 0.1508 loss: 0.0750 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7273 recall@top3: 0.8333 prec@top3: 0.6818 recall@top5: 0.9394 prec@top5: 0.4636 loss_action_cls: 0.0750 2023/03/10 17:33:02 - mmengine - INFO - Epoch(train) [3][ 660/4451] lr: 1.4452e-06 eta: 15:19:40 time: 0.6416 data_time: 0.0115 memory: 51970 grad_norm: 0.1468 loss: 0.0798 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8529 recall@top3: 0.8333 prec@top3: 0.7451 recall@top5: 0.9706 prec@top5: 0.5294 loss_action_cls: 0.0798 2023/03/10 17:33:17 - mmengine - INFO - Epoch(train) [3][ 680/4451] lr: 1.4476e-06 eta: 15:19:33 time: 0.7314 data_time: 0.0125 memory: 51970 grad_norm: 0.1531 loss: 0.0801 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.6754 recall@top3: 0.8772 prec@top3: 0.7018 recall@top5: 0.9737 prec@top5: 0.4737 loss_action_cls: 0.0801 2023/03/10 17:33:29 - mmengine - INFO - Epoch(train) [3][ 700/4451] lr: 1.4500e-06 eta: 15:19:08 time: 0.6271 data_time: 0.0360 memory: 51970 grad_norm: 0.1501 loss: 0.0786 recall@thr=0.5: 0.6753 prec@thr=0.5: 0.7874 recall@top3: 0.8075 prec@top3: 0.6782 recall@top5: 0.8793 prec@top5: 0.4483 loss_action_cls: 0.0786 2023/03/10 17:33:45 - mmengine - INFO - Epoch(train) [3][ 720/4451] lr: 1.4524e-06 eta: 15:19:12 time: 0.8052 data_time: 0.0122 memory: 51970 grad_norm: 0.1489 loss: 0.0792 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7632 recall@top3: 0.7456 prec@top3: 0.6491 recall@top5: 0.8421 prec@top5: 0.4526 loss_action_cls: 0.0792 2023/03/10 17:33:59 - mmengine - INFO - Epoch(train) [3][ 740/4451] lr: 1.4548e-06 eta: 15:18:58 time: 0.6930 data_time: 0.0121 memory: 51970 grad_norm: 0.1550 loss: 0.0804 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.7738 recall@top3: 0.7262 prec@top3: 0.6190 recall@top5: 0.7619 prec@top5: 0.3857 loss_action_cls: 0.0804 2023/03/10 17:34:15 - mmengine - INFO - Epoch(train) [3][ 760/4451] lr: 1.4572e-06 eta: 15:18:59 time: 0.7867 data_time: 0.0125 memory: 51970 grad_norm: 0.1553 loss: 0.0761 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8437 recall@top3: 0.8438 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0761 2023/03/10 17:34:28 - mmengine - INFO - Epoch(train) [3][ 780/4451] lr: 1.4596e-06 eta: 15:18:40 time: 0.6618 data_time: 0.0115 memory: 51970 grad_norm: 0.1465 loss: 0.0847 recall@thr=0.5: 0.5658 prec@thr=0.5: 0.6930 recall@top3: 0.7807 prec@top3: 0.5439 recall@top5: 0.8640 prec@top5: 0.3789 loss_action_cls: 0.0847 2023/03/10 17:34:44 - mmengine - INFO - Epoch(train) [3][ 800/4451] lr: 1.4621e-06 eta: 15:18:42 time: 0.7949 data_time: 0.0121 memory: 51970 grad_norm: 0.1455 loss: 0.0833 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.6979 recall@top3: 0.7604 prec@top3: 0.5208 recall@top5: 0.9583 prec@top5: 0.3875 loss_action_cls: 0.0833 2023/03/10 17:34:56 - mmengine - INFO - Epoch(train) [3][ 820/4451] lr: 1.4645e-06 eta: 15:18:09 time: 0.5748 data_time: 0.0118 memory: 51970 grad_norm: 0.1573 loss: 0.0764 recall@thr=0.5: 0.4907 prec@thr=0.5: 0.6389 recall@top3: 0.5957 prec@top3: 0.6173 recall@top5: 0.7562 prec@top5: 0.4519 loss_action_cls: 0.0764 2023/03/10 17:35:11 - mmengine - INFO - Epoch(train) [3][ 840/4451] lr: 1.4669e-06 eta: 15:18:04 time: 0.7511 data_time: 0.0136 memory: 51970 grad_norm: 0.1517 loss: 0.0718 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8523 recall@top3: 0.8712 prec@top3: 0.7727 recall@top5: 0.9394 prec@top5: 0.5091 loss_action_cls: 0.0718 2023/03/10 17:35:23 - mmengine - INFO - Epoch(train) [3][ 860/4451] lr: 1.4693e-06 eta: 15:17:37 time: 0.6164 data_time: 0.0122 memory: 51970 grad_norm: 0.1559 loss: 0.0792 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5992 recall@top3: 0.7937 prec@top3: 0.6032 recall@top5: 0.9603 prec@top5: 0.4571 loss_action_cls: 0.0792 2023/03/10 17:35:39 - mmengine - INFO - Epoch(train) [3][ 880/4451] lr: 1.4717e-06 eta: 15:17:37 time: 0.7777 data_time: 0.0125 memory: 51970 grad_norm: 0.1530 loss: 0.0741 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.7500 recall@top3: 0.8100 prec@top3: 0.7500 recall@top5: 0.8992 prec@top5: 0.4900 loss_action_cls: 0.0741 2023/03/10 17:35:52 - mmengine - INFO - Epoch(train) [3][ 900/4451] lr: 1.4741e-06 eta: 15:17:19 time: 0.6702 data_time: 0.0119 memory: 51970 grad_norm: 0.1476 loss: 0.0733 recall@thr=0.5: 0.5690 prec@thr=0.5: 0.6782 recall@top3: 0.7356 prec@top3: 0.5287 recall@top5: 0.8621 prec@top5: 0.3793 loss_action_cls: 0.0733 2023/03/10 17:36:10 - mmengine - INFO - Epoch(train) [3][ 920/4451] lr: 1.4765e-06 eta: 15:17:34 time: 0.8762 data_time: 0.0117 memory: 51970 grad_norm: 0.1583 loss: 0.0785 recall@thr=0.5: 0.4351 prec@thr=0.5: 0.6491 recall@top3: 0.5772 prec@top3: 0.5263 recall@top5: 0.8123 prec@top5: 0.4632 loss_action_cls: 0.0785 2023/03/10 17:36:24 - mmengine - INFO - Epoch(train) [3][ 940/4451] lr: 1.4789e-06 eta: 15:17:29 time: 0.7461 data_time: 0.0121 memory: 51970 grad_norm: 0.1565 loss: 0.0739 recall@thr=0.5: 0.5576 prec@thr=0.5: 0.5606 recall@top3: 0.6152 prec@top3: 0.5303 recall@top5: 0.8985 prec@top5: 0.4455 loss_action_cls: 0.0739 2023/03/10 17:36:40 - mmengine - INFO - Epoch(train) [3][ 960/4451] lr: 1.4813e-06 eta: 15:17:25 time: 0.7602 data_time: 0.0124 memory: 51970 grad_norm: 0.1525 loss: 0.0754 recall@thr=0.5: 0.6080 prec@thr=0.5: 0.6420 recall@top3: 0.7377 prec@top3: 0.6790 recall@top5: 0.9228 prec@top5: 0.5111 loss_action_cls: 0.0754 2023/03/10 17:36:54 - mmengine - INFO - Epoch(train) [3][ 980/4451] lr: 1.4837e-06 eta: 15:17:19 time: 0.7423 data_time: 0.0122 memory: 51970 grad_norm: 0.1501 loss: 0.0817 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.5917 recall@top3: 0.9000 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.3900 loss_action_cls: 0.0817 2023/03/10 17:37:09 - mmengine - INFO - Epoch(train) [3][1000/4451] lr: 1.4861e-06 eta: 15:17:12 time: 0.7411 data_time: 0.0127 memory: 51970 grad_norm: 0.1591 loss: 0.0813 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9271 recall@top3: 0.8438 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4000 loss_action_cls: 0.0813 2023/03/10 17:37:23 - mmengine - INFO - Epoch(train) [3][1020/4451] lr: 1.4885e-06 eta: 15:16:56 time: 0.6835 data_time: 0.0123 memory: 51970 grad_norm: 0.1445 loss: 0.0697 recall@thr=0.5: 0.7552 prec@thr=0.5: 0.7979 recall@top3: 0.8594 prec@top3: 0.6458 recall@top5: 0.9010 prec@top5: 0.4125 loss_action_cls: 0.0697 2023/03/10 17:37:39 - mmengine - INFO - Epoch(train) [3][1040/4451] lr: 1.4909e-06 eta: 15:17:03 time: 0.8259 data_time: 0.0117 memory: 51970 grad_norm: 0.1460 loss: 0.0815 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6389 recall@top3: 0.8241 prec@top3: 0.6481 recall@top5: 0.9722 prec@top5: 0.4444 loss_action_cls: 0.0815 2023/03/10 17:37:54 - mmengine - INFO - Epoch(train) [3][1060/4451] lr: 1.4933e-06 eta: 15:16:50 time: 0.7021 data_time: 0.0127 memory: 51970 grad_norm: 0.1612 loss: 0.0719 recall@thr=0.5: 0.5261 prec@thr=0.5: 0.6304 recall@top3: 0.6174 prec@top3: 0.5507 recall@top5: 0.8449 prec@top5: 0.4783 loss_action_cls: 0.0719 2023/03/10 17:38:10 - mmengine - INFO - Epoch(train) [3][1080/4451] lr: 1.4957e-06 eta: 15:16:54 time: 0.8068 data_time: 0.0121 memory: 51970 grad_norm: 0.1457 loss: 0.0857 recall@thr=0.5: 0.6630 prec@thr=0.5: 0.6993 recall@top3: 0.8007 prec@top3: 0.6087 recall@top5: 0.9058 prec@top5: 0.4261 loss_action_cls: 0.0857 2023/03/10 17:38:22 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 17:38:23 - mmengine - INFO - Epoch(train) [3][1100/4451] lr: 1.4981e-06 eta: 15:16:32 time: 0.6468 data_time: 0.0121 memory: 51970 grad_norm: 0.1451 loss: 0.0869 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.6270 recall@top3: 0.7579 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.5048 loss_action_cls: 0.0869 2023/03/10 17:38:38 - mmengine - INFO - Epoch(train) [3][1120/4451] lr: 1.5005e-06 eta: 15:16:30 time: 0.7713 data_time: 0.0328 memory: 51970 grad_norm: 0.1442 loss: 0.0849 recall@thr=0.5: 0.4714 prec@thr=0.5: 0.6190 recall@top3: 0.6889 prec@top3: 0.6190 recall@top5: 0.8897 prec@top5: 0.4857 loss_action_cls: 0.0849 2023/03/10 17:38:53 - mmengine - INFO - Epoch(train) [3][1140/4451] lr: 1.5029e-06 eta: 15:16:23 time: 0.7381 data_time: 0.0130 memory: 51970 grad_norm: 0.1579 loss: 0.0819 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.9123 recall@top3: 0.8596 prec@top3: 0.6491 recall@top5: 0.9474 prec@top5: 0.4316 loss_action_cls: 0.0819 2023/03/10 17:39:06 - mmengine - INFO - Epoch(train) [3][1160/4451] lr: 1.5053e-06 eta: 15:16:06 time: 0.6795 data_time: 0.0128 memory: 51970 grad_norm: 0.1447 loss: 0.1099 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.6667 recall@top3: 0.7368 prec@top3: 0.5614 recall@top5: 0.8816 prec@top5: 0.4105 loss_action_cls: 0.1099 2023/03/10 17:39:21 - mmengine - INFO - Epoch(train) [3][1180/4451] lr: 1.5077e-06 eta: 15:15:58 time: 0.7309 data_time: 0.0133 memory: 51970 grad_norm: 0.1486 loss: 0.0817 recall@thr=0.5: 0.7097 prec@thr=0.5: 0.7129 recall@top3: 0.8360 prec@top3: 0.6774 recall@top5: 0.9758 prec@top5: 0.4903 loss_action_cls: 0.0817 2023/03/10 17:39:38 - mmengine - INFO - Epoch(train) [3][1200/4451] lr: 1.5101e-06 eta: 15:16:06 time: 0.8398 data_time: 0.0124 memory: 51970 grad_norm: 0.1496 loss: 0.0970 recall@thr=0.5: 0.4107 prec@thr=0.5: 0.5417 recall@top3: 0.6071 prec@top3: 0.3690 recall@top5: 0.8155 prec@top5: 0.3214 loss_action_cls: 0.0970 2023/03/10 17:39:51 - mmengine - INFO - Epoch(train) [3][1220/4451] lr: 1.5125e-06 eta: 15:15:47 time: 0.6641 data_time: 0.0180 memory: 51970 grad_norm: 0.1521 loss: 0.0798 recall@thr=0.5: 0.5049 prec@thr=0.5: 0.6559 recall@top3: 0.6863 prec@top3: 0.6667 recall@top5: 0.8235 prec@top5: 0.4941 loss_action_cls: 0.0798 2023/03/10 17:40:05 - mmengine - INFO - Epoch(train) [3][1240/4451] lr: 1.5149e-06 eta: 15:15:34 time: 0.7001 data_time: 0.0133 memory: 51970 grad_norm: 0.1442 loss: 0.0815 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7947 recall@top3: 0.7211 prec@top3: 0.7368 recall@top5: 0.8728 prec@top5: 0.5579 loss_action_cls: 0.0815 2023/03/10 17:40:19 - mmengine - INFO - Epoch(train) [3][1260/4451] lr: 1.5173e-06 eta: 15:15:18 time: 0.6849 data_time: 0.0126 memory: 51970 grad_norm: 0.1504 loss: 0.0728 recall@thr=0.5: 0.6068 prec@thr=0.5: 0.8021 recall@top3: 0.7630 prec@top3: 0.7083 recall@top5: 0.9479 prec@top5: 0.5187 loss_action_cls: 0.0728 2023/03/10 17:40:33 - mmengine - INFO - Epoch(train) [3][1280/4451] lr: 1.5197e-06 eta: 15:15:09 time: 0.7256 data_time: 0.0189 memory: 51970 grad_norm: 0.1467 loss: 0.0820 recall@thr=0.5: 0.4922 prec@thr=0.5: 0.6889 recall@top3: 0.8078 prec@top3: 0.7333 recall@top5: 0.9000 prec@top5: 0.5200 loss_action_cls: 0.0820 2023/03/10 17:40:49 - mmengine - INFO - Epoch(train) [3][1300/4451] lr: 1.5221e-06 eta: 15:15:08 time: 0.7790 data_time: 0.0129 memory: 51970 grad_norm: 0.1583 loss: 0.0838 recall@thr=0.5: 0.4412 prec@thr=0.5: 0.3922 recall@top3: 0.7255 prec@top3: 0.3529 recall@top5: 0.7745 prec@top5: 0.2353 loss_action_cls: 0.0838 2023/03/10 17:41:03 - mmengine - INFO - Epoch(train) [3][1320/4451] lr: 1.5245e-06 eta: 15:14:53 time: 0.6903 data_time: 0.0133 memory: 51970 grad_norm: 0.1462 loss: 0.0751 recall@thr=0.5: 0.4560 prec@thr=0.5: 0.5536 recall@top3: 0.7631 prec@top3: 0.5357 recall@top5: 0.9083 prec@top5: 0.4000 loss_action_cls: 0.0751 2023/03/10 17:41:19 - mmengine - INFO - Epoch(train) [3][1340/4451] lr: 1.5269e-06 eta: 15:15:00 time: 0.8330 data_time: 0.0129 memory: 51970 grad_norm: 0.1449 loss: 0.0754 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.6111 recall@top3: 0.7183 prec@top3: 0.6984 recall@top5: 0.8849 prec@top5: 0.5143 loss_action_cls: 0.0754 2023/03/10 17:41:32 - mmengine - INFO - Epoch(train) [3][1360/4451] lr: 1.5293e-06 eta: 15:14:39 time: 0.6491 data_time: 0.0122 memory: 51970 grad_norm: 0.1581 loss: 0.0877 recall@thr=0.5: 0.5733 prec@thr=0.5: 0.7420 recall@top3: 0.7700 prec@top3: 0.8000 recall@top5: 0.9800 prec@top5: 0.6160 loss_action_cls: 0.0877 2023/03/10 17:41:48 - mmengine - INFO - Epoch(train) [3][1380/4451] lr: 1.5317e-06 eta: 15:14:40 time: 0.7950 data_time: 0.0133 memory: 51970 grad_norm: 0.1521 loss: 0.0772 recall@thr=0.5: 0.6462 prec@thr=0.5: 0.6731 recall@top3: 0.7494 prec@top3: 0.6923 recall@top5: 0.9212 prec@top5: 0.5308 loss_action_cls: 0.0772 2023/03/10 17:42:02 - mmengine - INFO - Epoch(train) [3][1400/4451] lr: 1.5341e-06 eta: 15:14:27 time: 0.7022 data_time: 0.0110 memory: 51970 grad_norm: 0.1461 loss: 0.0722 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6562 recall@top3: 0.8750 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.3250 loss_action_cls: 0.0722 2023/03/10 17:42:18 - mmengine - INFO - Epoch(train) [3][1420/4451] lr: 1.5365e-06 eta: 15:14:23 time: 0.7627 data_time: 0.0120 memory: 51970 grad_norm: 0.1483 loss: 0.0735 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7333 recall@top3: 0.8125 prec@top3: 0.7500 recall@top5: 0.9250 prec@top5: 0.5400 loss_action_cls: 0.0735 2023/03/10 17:42:30 - mmengine - INFO - Epoch(train) [3][1440/4451] lr: 1.5389e-06 eta: 15:13:56 time: 0.6166 data_time: 0.0145 memory: 51970 grad_norm: 0.1511 loss: 0.0762 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7647 recall@top3: 0.7892 prec@top3: 0.5294 recall@top5: 0.9069 prec@top5: 0.3882 loss_action_cls: 0.0762 2023/03/10 17:42:44 - mmengine - INFO - Epoch(train) [3][1460/4451] lr: 1.5413e-06 eta: 15:13:47 time: 0.7243 data_time: 0.0125 memory: 51970 grad_norm: 0.1470 loss: 0.0692 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6500 recall@top3: 0.7373 prec@top3: 0.6533 recall@top5: 0.8920 prec@top5: 0.5040 loss_action_cls: 0.0692 2023/03/10 17:42:58 - mmengine - INFO - Epoch(train) [3][1480/4451] lr: 1.5437e-06 eta: 15:13:34 time: 0.7061 data_time: 0.0124 memory: 51970 grad_norm: 0.1408 loss: 0.0836 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.6250 recall@top3: 0.7083 prec@top3: 0.4583 recall@top5: 0.8750 prec@top5: 0.3750 loss_action_cls: 0.0836 2023/03/10 17:43:13 - mmengine - INFO - Epoch(train) [3][1500/4451] lr: 1.5461e-06 eta: 15:13:21 time: 0.7050 data_time: 0.0129 memory: 51970 grad_norm: 0.1503 loss: 0.0748 recall@thr=0.5: 0.4048 prec@thr=0.5: 0.5794 recall@top3: 0.6667 prec@top3: 0.4921 recall@top5: 0.8095 prec@top5: 0.4000 loss_action_cls: 0.0748 2023/03/10 17:43:26 - mmengine - INFO - Epoch(train) [3][1520/4451] lr: 1.5485e-06 eta: 15:13:02 time: 0.6610 data_time: 0.0123 memory: 51970 grad_norm: 0.1513 loss: 0.0745 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.9000 recall@top3: 0.7958 prec@top3: 0.7833 recall@top5: 0.9125 prec@top5: 0.5500 loss_action_cls: 0.0745 2023/03/10 17:43:39 - mmengine - INFO - Epoch(train) [3][1540/4451] lr: 1.5509e-06 eta: 15:12:46 time: 0.6829 data_time: 0.0132 memory: 51970 grad_norm: 0.1477 loss: 0.0775 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.3519 recall@top3: 0.6852 prec@top3: 0.4259 recall@top5: 0.8241 prec@top5: 0.3000 loss_action_cls: 0.0775 2023/03/10 17:43:54 - mmengine - INFO - Epoch(train) [3][1560/4451] lr: 1.5533e-06 eta: 15:12:38 time: 0.7365 data_time: 0.0115 memory: 51970 grad_norm: 0.1436 loss: 0.0712 recall@thr=0.5: 0.6993 prec@thr=0.5: 0.8406 recall@top3: 0.7935 prec@top3: 0.7391 recall@top5: 0.8659 prec@top5: 0.4870 loss_action_cls: 0.0712 2023/03/10 17:44:07 - mmengine - INFO - Epoch(train) [3][1580/4451] lr: 1.5557e-06 eta: 15:12:12 time: 0.6180 data_time: 0.0130 memory: 51970 grad_norm: 0.1433 loss: 0.0786 recall@thr=0.5: 0.6495 prec@thr=0.5: 0.6863 recall@top3: 0.8113 prec@top3: 0.7157 recall@top5: 0.9461 prec@top5: 0.5059 loss_action_cls: 0.0786 2023/03/10 17:44:22 - mmengine - INFO - Epoch(train) [3][1600/4451] lr: 1.5581e-06 eta: 15:12:10 time: 0.7781 data_time: 0.0121 memory: 51970 grad_norm: 0.1395 loss: 0.0714 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.6208 recall@top3: 0.7417 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.4300 loss_action_cls: 0.0714 2023/03/10 17:44:35 - mmengine - INFO - Epoch(train) [3][1620/4451] lr: 1.5605e-06 eta: 15:11:49 time: 0.6443 data_time: 0.0120 memory: 51970 grad_norm: 0.1578 loss: 0.0693 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.5494 recall@top3: 0.6389 prec@top3: 0.5802 recall@top5: 0.8580 prec@top5: 0.4593 loss_action_cls: 0.0693 2023/03/10 17:44:51 - mmengine - INFO - Epoch(train) [3][1640/4451] lr: 1.5629e-06 eta: 15:11:47 time: 0.7826 data_time: 0.0124 memory: 51970 grad_norm: 0.1396 loss: 0.0723 recall@thr=0.5: 0.4643 prec@thr=0.5: 0.6369 recall@top3: 0.8393 prec@top3: 0.6190 recall@top5: 0.9702 prec@top5: 0.4143 loss_action_cls: 0.0723 2023/03/10 17:45:03 - mmengine - INFO - Epoch(train) [3][1660/4451] lr: 1.5653e-06 eta: 15:11:22 time: 0.6211 data_time: 0.0117 memory: 51970 grad_norm: 0.1494 loss: 0.0608 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7778 recall@top3: 0.7778 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0608 2023/03/10 17:45:18 - mmengine - INFO - Epoch(train) [3][1680/4451] lr: 1.5677e-06 eta: 15:11:13 time: 0.7267 data_time: 0.0130 memory: 51970 grad_norm: 0.1533 loss: 0.0668 recall@thr=0.5: 0.5764 prec@thr=0.5: 0.5972 recall@top3: 0.6528 prec@top3: 0.5972 recall@top5: 0.9653 prec@top5: 0.5250 loss_action_cls: 0.0668 2023/03/10 17:45:32 - mmengine - INFO - Epoch(train) [3][1700/4451] lr: 1.5701e-06 eta: 15:11:05 time: 0.7416 data_time: 0.0122 memory: 51970 grad_norm: 0.1467 loss: 0.0643 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6354 recall@top3: 0.8490 prec@top3: 0.6667 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0643 2023/03/10 17:45:48 - mmengine - INFO - Epoch(train) [3][1720/4451] lr: 1.5725e-06 eta: 15:11:01 time: 0.7603 data_time: 0.0130 memory: 51970 grad_norm: 0.1554 loss: 0.0808 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6053 recall@top3: 0.8289 prec@top3: 0.5614 recall@top5: 0.9868 prec@top5: 0.4000 loss_action_cls: 0.0808 2023/03/10 17:46:02 - mmengine - INFO - Epoch(train) [3][1740/4451] lr: 1.5749e-06 eta: 15:10:47 time: 0.6995 data_time: 0.0115 memory: 51970 grad_norm: 0.1536 loss: 0.0773 recall@thr=0.5: 0.7048 prec@thr=0.5: 0.8413 recall@top3: 0.8508 prec@top3: 0.5556 recall@top5: 0.9762 prec@top5: 0.4190 loss_action_cls: 0.0773 2023/03/10 17:46:14 - mmengine - INFO - Epoch(train) [3][1760/4451] lr: 1.5773e-06 eta: 15:10:22 time: 0.6244 data_time: 0.0125 memory: 51970 grad_norm: 0.1489 loss: 0.0854 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.6282 recall@top5: 0.9231 prec@top5: 0.4308 loss_action_cls: 0.0854 2023/03/10 17:46:28 - mmengine - INFO - Epoch(train) [3][1780/4451] lr: 1.5797e-06 eta: 15:10:05 time: 0.6731 data_time: 0.0129 memory: 51970 grad_norm: 0.1514 loss: 0.0825 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5370 recall@top3: 0.7222 prec@top3: 0.4630 recall@top5: 0.8704 prec@top5: 0.3444 loss_action_cls: 0.0825 2023/03/10 17:46:41 - mmengine - INFO - Epoch(train) [3][1800/4451] lr: 1.5821e-06 eta: 15:09:48 time: 0.6772 data_time: 0.0126 memory: 51970 grad_norm: 0.1503 loss: 0.0709 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6471 recall@top3: 0.7647 prec@top3: 0.4510 recall@top5: 0.8824 prec@top5: 0.3176 loss_action_cls: 0.0709 2023/03/10 17:46:58 - mmengine - INFO - Epoch(train) [3][1820/4451] lr: 1.5846e-06 eta: 15:09:58 time: 0.8593 data_time: 0.0127 memory: 51970 grad_norm: 0.1491 loss: 0.0749 recall@thr=0.5: 0.5990 prec@thr=0.5: 0.6771 recall@top3: 0.7448 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0749 2023/03/10 17:47:12 - mmengine - INFO - Epoch(train) [3][1840/4451] lr: 1.5870e-06 eta: 15:09:38 time: 0.6588 data_time: 0.0122 memory: 51970 grad_norm: 0.1504 loss: 0.0774 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.8204 recall@top3: 0.8287 prec@top3: 0.6852 recall@top5: 0.9352 prec@top5: 0.4778 loss_action_cls: 0.0774 2023/03/10 17:47:28 - mmengine - INFO - Epoch(train) [3][1860/4451] lr: 1.5894e-06 eta: 15:09:40 time: 0.8040 data_time: 0.0135 memory: 51970 grad_norm: 0.1473 loss: 0.0848 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.5467 recall@top3: 0.8000 prec@top3: 0.5467 recall@top5: 0.9000 prec@top5: 0.3920 loss_action_cls: 0.0848 2023/03/10 17:47:42 - mmengine - INFO - Epoch(train) [3][1880/4451] lr: 1.5918e-06 eta: 15:09:28 time: 0.7105 data_time: 0.0117 memory: 51970 grad_norm: 0.1551 loss: 0.0665 recall@thr=0.5: 0.6094 prec@thr=0.5: 0.9062 recall@top3: 0.9167 prec@top3: 0.6458 recall@top5: 0.9531 prec@top5: 0.4125 loss_action_cls: 0.0665 2023/03/10 17:47:57 - mmengine - INFO - Epoch(train) [3][1900/4451] lr: 1.5942e-06 eta: 15:09:19 time: 0.7362 data_time: 0.0139 memory: 51970 grad_norm: 0.1558 loss: 0.0783 recall@thr=0.5: 0.4778 prec@thr=0.5: 0.4667 recall@top3: 0.6889 prec@top3: 0.5778 recall@top5: 0.8889 prec@top5: 0.4533 loss_action_cls: 0.0783 2023/03/10 17:48:10 - mmengine - INFO - Epoch(train) [3][1920/4451] lr: 1.5966e-06 eta: 15:09:05 time: 0.6925 data_time: 0.0108 memory: 51970 grad_norm: 0.1466 loss: 0.0712 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.6444 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4133 loss_action_cls: 0.0712 2023/03/10 17:48:26 - mmengine - INFO - Epoch(train) [3][1940/4451] lr: 1.5990e-06 eta: 15:09:00 time: 0.7588 data_time: 0.0127 memory: 51970 grad_norm: 0.1475 loss: 0.0814 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.6528 recall@top3: 0.6833 prec@top3: 0.6556 recall@top5: 0.8667 prec@top5: 0.4933 loss_action_cls: 0.0814 2023/03/10 17:48:39 - mmengine - INFO - Epoch(train) [3][1960/4451] lr: 1.6014e-06 eta: 15:08:41 time: 0.6667 data_time: 0.0114 memory: 51970 grad_norm: 0.1449 loss: 0.0684 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7321 recall@top3: 0.7440 prec@top3: 0.5952 recall@top5: 0.8810 prec@top5: 0.4286 loss_action_cls: 0.0684 2023/03/10 17:48:54 - mmengine - INFO - Epoch(train) [3][1980/4451] lr: 1.6038e-06 eta: 15:08:35 time: 0.7531 data_time: 0.0130 memory: 51970 grad_norm: 0.1518 loss: 0.0880 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.6520 recall@top3: 0.6765 prec@top3: 0.4902 recall@top5: 0.7451 prec@top5: 0.3294 loss_action_cls: 0.0880 2023/03/10 17:49:07 - mmengine - INFO - Epoch(train) [3][2000/4451] lr: 1.6062e-06 eta: 15:08:16 time: 0.6615 data_time: 0.0124 memory: 51970 grad_norm: 0.1437 loss: 0.0894 recall@thr=0.5: 0.5525 prec@thr=0.5: 0.5154 recall@top3: 0.6327 prec@top3: 0.4321 recall@top5: 0.8333 prec@top5: 0.3556 loss_action_cls: 0.0894 2023/03/10 17:49:23 - mmengine - INFO - Epoch(train) [3][2020/4451] lr: 1.6086e-06 eta: 15:08:13 time: 0.7764 data_time: 0.0114 memory: 51970 grad_norm: 0.1556 loss: 0.0777 recall@thr=0.5: 0.6731 prec@thr=0.5: 0.6731 recall@top3: 0.9679 prec@top3: 0.6026 recall@top5: 1.0000 prec@top5: 0.3846 loss_action_cls: 0.0777 2023/03/10 17:49:34 - mmengine - INFO - Epoch(train) [3][2040/4451] lr: 1.6110e-06 eta: 15:07:41 time: 0.5659 data_time: 0.0137 memory: 51970 grad_norm: 0.1566 loss: 0.0739 recall@thr=0.5: 0.4940 prec@thr=0.5: 0.5357 recall@top3: 0.6190 prec@top3: 0.4881 recall@top5: 0.7917 prec@top5: 0.4000 loss_action_cls: 0.0739 2023/03/10 17:49:50 - mmengine - INFO - Epoch(train) [3][2060/4451] lr: 1.6134e-06 eta: 15:07:38 time: 0.7786 data_time: 0.0117 memory: 51970 grad_norm: 0.1410 loss: 0.0831 recall@thr=0.5: 0.6867 prec@thr=0.5: 0.8267 recall@top3: 0.8300 prec@top3: 0.8267 recall@top5: 0.9400 prec@top5: 0.5680 loss_action_cls: 0.0831 2023/03/10 17:50:04 - mmengine - INFO - Epoch(train) [3][2080/4451] lr: 1.6158e-06 eta: 15:07:28 time: 0.7216 data_time: 0.0138 memory: 51970 grad_norm: 0.1533 loss: 0.0727 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.7302 recall@top3: 0.8571 prec@top3: 0.6032 recall@top5: 0.9365 prec@top5: 0.4095 loss_action_cls: 0.0727 2023/03/10 17:50:15 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 17:50:18 - mmengine - INFO - Epoch(train) [3][2100/4451] lr: 1.6182e-06 eta: 15:07:13 time: 0.6919 data_time: 0.0122 memory: 51970 grad_norm: 0.1481 loss: 0.0853 recall@thr=0.5: 0.6341 prec@thr=0.5: 0.7424 recall@top3: 0.6727 prec@top3: 0.6212 recall@top5: 0.9273 prec@top5: 0.5182 loss_action_cls: 0.0853 2023/03/10 17:50:32 - mmengine - INFO - Epoch(train) [3][2120/4451] lr: 1.6206e-06 eta: 15:07:03 time: 0.7252 data_time: 0.0126 memory: 51970 grad_norm: 0.1477 loss: 0.0718 recall@thr=0.5: 0.5846 prec@thr=0.5: 0.6474 recall@top3: 0.7462 prec@top3: 0.5897 recall@top5: 0.8333 prec@top5: 0.4308 loss_action_cls: 0.0718 2023/03/10 17:50:47 - mmengine - INFO - Epoch(train) [3][2140/4451] lr: 1.6230e-06 eta: 15:06:53 time: 0.7299 data_time: 0.0126 memory: 51970 grad_norm: 0.1561 loss: 0.0867 recall@thr=0.5: 0.5449 prec@thr=0.5: 0.6667 recall@top3: 0.6731 prec@top3: 0.5769 recall@top5: 0.8814 prec@top5: 0.4615 loss_action_cls: 0.0867 2023/03/10 17:51:01 - mmengine - INFO - Epoch(train) [3][2160/4451] lr: 1.6254e-06 eta: 15:06:38 time: 0.6899 data_time: 0.0131 memory: 51970 grad_norm: 0.1546 loss: 0.0748 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8519 recall@top3: 0.8241 prec@top3: 0.6852 recall@top5: 0.8889 prec@top5: 0.4556 loss_action_cls: 0.0748 2023/03/10 17:51:15 - mmengine - INFO - Epoch(train) [3][2180/4451] lr: 1.6278e-06 eta: 15:06:23 time: 0.6905 data_time: 0.0121 memory: 51970 grad_norm: 0.1523 loss: 0.0759 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.7029 recall@top3: 0.8188 prec@top3: 0.5362 recall@top5: 0.9130 prec@top5: 0.3565 loss_action_cls: 0.0759 2023/03/10 17:51:27 - mmengine - INFO - Epoch(train) [3][2200/4451] lr: 1.6302e-06 eta: 15:05:56 time: 0.6048 data_time: 0.0130 memory: 51970 grad_norm: 0.1465 loss: 0.0762 recall@thr=0.5: 0.5525 prec@thr=0.5: 0.5741 recall@top3: 0.7407 prec@top3: 0.5926 recall@top5: 0.8673 prec@top5: 0.4296 loss_action_cls: 0.0762 2023/03/10 17:51:41 - mmengine - INFO - Epoch(train) [3][2220/4451] lr: 1.6326e-06 eta: 15:05:44 time: 0.7098 data_time: 0.0119 memory: 51970 grad_norm: 0.1457 loss: 0.0709 recall@thr=0.5: 0.2870 prec@thr=0.5: 0.5556 recall@top3: 0.7778 prec@top3: 0.5926 recall@top5: 0.9352 prec@top5: 0.4333 loss_action_cls: 0.0709 2023/03/10 17:51:53 - mmengine - INFO - Epoch(train) [3][2240/4451] lr: 1.6350e-06 eta: 15:05:18 time: 0.6078 data_time: 0.0141 memory: 51970 grad_norm: 0.1463 loss: 0.0701 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.6636 recall@top3: 0.7311 prec@top3: 0.6212 recall@top5: 0.8864 prec@top5: 0.4636 loss_action_cls: 0.0701 2023/03/10 17:52:05 - mmengine - INFO - Epoch(train) [3][2260/4451] lr: 1.6374e-06 eta: 15:04:53 time: 0.6197 data_time: 0.0163 memory: 51970 grad_norm: 0.1483 loss: 0.0734 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.5965 recall@top3: 0.7368 prec@top3: 0.4035 recall@top5: 0.8421 prec@top5: 0.2632 loss_action_cls: 0.0734 2023/03/10 17:52:19 - mmengine - INFO - Epoch(train) [3][2280/4451] lr: 1.6398e-06 eta: 15:04:39 time: 0.6961 data_time: 0.0120 memory: 51970 grad_norm: 0.1512 loss: 0.0721 recall@thr=0.5: 0.6098 prec@thr=0.5: 0.6288 recall@top3: 0.7386 prec@top3: 0.6212 recall@top5: 0.9053 prec@top5: 0.4909 loss_action_cls: 0.0721 2023/03/10 17:52:31 - mmengine - INFO - Epoch(train) [3][2300/4451] lr: 1.6422e-06 eta: 15:04:11 time: 0.5979 data_time: 0.0136 memory: 51970 grad_norm: 0.1536 loss: 0.0739 recall@thr=0.5: 0.3910 prec@thr=0.5: 0.5256 recall@top3: 0.7115 prec@top3: 0.4744 recall@top5: 0.7756 prec@top5: 0.3154 loss_action_cls: 0.0739 2023/03/10 17:52:44 - mmengine - INFO - Epoch(train) [3][2320/4451] lr: 1.6446e-06 eta: 15:03:49 time: 0.6394 data_time: 0.0116 memory: 51970 grad_norm: 0.1505 loss: 0.0654 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6387 recall@top3: 0.6478 prec@top3: 0.5806 recall@top5: 0.8522 prec@top5: 0.4710 loss_action_cls: 0.0654 2023/03/10 17:52:58 - mmengine - INFO - Epoch(train) [3][2340/4451] lr: 1.6470e-06 eta: 15:03:36 time: 0.7048 data_time: 0.0712 memory: 51970 grad_norm: 0.1496 loss: 0.0787 recall@thr=0.5: 0.4783 prec@thr=0.5: 0.5580 recall@top3: 0.7449 prec@top3: 0.5652 recall@top5: 0.9174 prec@top5: 0.4522 loss_action_cls: 0.0787 2023/03/10 17:53:10 - mmengine - INFO - Epoch(train) [3][2360/4451] lr: 1.6494e-06 eta: 15:03:07 time: 0.5895 data_time: 0.0113 memory: 51970 grad_norm: 0.1499 loss: 0.0850 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.8636 recall@top3: 0.8902 prec@top3: 0.8030 recall@top5: 0.9508 prec@top5: 0.5182 loss_action_cls: 0.0850 2023/03/10 17:53:23 - mmengine - INFO - Epoch(train) [3][2380/4451] lr: 1.6518e-06 eta: 15:02:44 time: 0.6253 data_time: 0.0123 memory: 51970 grad_norm: 0.1467 loss: 0.0862 recall@thr=0.5: 0.7796 prec@thr=0.5: 0.8333 recall@top3: 0.9046 prec@top3: 0.6296 recall@top5: 0.9593 prec@top5: 0.4222 loss_action_cls: 0.0862 2023/03/10 17:53:37 - mmengine - INFO - Epoch(train) [3][2400/4451] lr: 1.6542e-06 eta: 15:02:34 time: 0.7269 data_time: 0.0132 memory: 51970 grad_norm: 0.1516 loss: 0.0638 recall@thr=0.5: 0.3056 prec@thr=0.5: 0.5139 recall@top3: 0.4630 prec@top3: 0.4444 recall@top5: 0.7037 prec@top5: 0.3889 loss_action_cls: 0.0638 2023/03/10 17:53:50 - mmengine - INFO - Epoch(train) [3][2420/4451] lr: 1.6566e-06 eta: 15:02:13 time: 0.6494 data_time: 0.0124 memory: 51970 grad_norm: 0.1463 loss: 0.0756 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.6894 recall@top3: 0.7500 prec@top3: 0.7576 recall@top5: 0.9886 prec@top5: 0.5545 loss_action_cls: 0.0756 2023/03/10 17:54:06 - mmengine - INFO - Epoch(train) [3][2440/4451] lr: 1.6590e-06 eta: 15:02:16 time: 0.8202 data_time: 0.0708 memory: 51970 grad_norm: 0.1568 loss: 0.0730 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6491 recall@top3: 0.7675 prec@top3: 0.5614 recall@top5: 0.9035 prec@top5: 0.4105 loss_action_cls: 0.0730 2023/03/10 17:54:18 - mmengine - INFO - Epoch(train) [3][2460/4451] lr: 1.6614e-06 eta: 15:01:48 time: 0.5927 data_time: 0.0114 memory: 51970 grad_norm: 0.1461 loss: 0.0777 recall@thr=0.5: 0.4195 prec@thr=0.5: 0.4598 recall@top3: 0.6006 prec@top3: 0.3908 recall@top5: 0.7672 prec@top5: 0.2966 loss_action_cls: 0.0777 2023/03/10 17:54:34 - mmengine - INFO - Epoch(train) [3][2480/4451] lr: 1.6638e-06 eta: 15:01:43 time: 0.7620 data_time: 0.0130 memory: 51970 grad_norm: 0.1518 loss: 0.0765 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5000 recall@top3: 0.6852 prec@top3: 0.5000 recall@top5: 0.8796 prec@top5: 0.3444 loss_action_cls: 0.0765 2023/03/10 17:54:46 - mmengine - INFO - Epoch(train) [3][2500/4451] lr: 1.6662e-06 eta: 15:01:22 time: 0.6422 data_time: 0.0130 memory: 51970 grad_norm: 0.1483 loss: 0.0752 recall@thr=0.5: 0.8444 prec@thr=0.5: 0.9556 recall@top3: 0.9778 prec@top3: 0.9111 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0752 2023/03/10 17:55:02 - mmengine - INFO - Epoch(train) [3][2520/4451] lr: 1.6686e-06 eta: 15:01:22 time: 0.7998 data_time: 0.0116 memory: 51970 grad_norm: 0.1461 loss: 0.0766 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.8026 recall@top3: 0.8333 prec@top3: 0.7193 recall@top5: 0.9342 prec@top5: 0.4947 loss_action_cls: 0.0766 2023/03/10 17:55:16 - mmengine - INFO - Epoch(train) [3][2540/4451] lr: 1.6710e-06 eta: 15:01:05 time: 0.6780 data_time: 0.0379 memory: 51970 grad_norm: 0.1476 loss: 0.0765 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6373 recall@top3: 0.7549 prec@top3: 0.5686 recall@top5: 0.8922 prec@top5: 0.4000 loss_action_cls: 0.0765 2023/03/10 17:55:30 - mmengine - INFO - Epoch(train) [3][2560/4451] lr: 1.6734e-06 eta: 15:00:55 time: 0.7239 data_time: 0.0123 memory: 51970 grad_norm: 0.1509 loss: 0.0850 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.5882 recall@top3: 0.7745 prec@top3: 0.6078 recall@top5: 0.9510 prec@top5: 0.4471 loss_action_cls: 0.0850 2023/03/10 17:55:43 - mmengine - INFO - Epoch(train) [3][2580/4451] lr: 1.6758e-06 eta: 15:00:29 time: 0.6057 data_time: 0.0125 memory: 51970 grad_norm: 0.1432 loss: 0.0709 recall@thr=0.5: 0.3939 prec@thr=0.5: 0.6364 recall@top3: 0.4424 prec@top3: 0.4242 recall@top5: 0.8121 prec@top5: 0.4364 loss_action_cls: 0.0709 2023/03/10 17:55:58 - mmengine - INFO - Epoch(train) [3][2600/4451] lr: 1.6782e-06 eta: 15:00:24 time: 0.7639 data_time: 0.0123 memory: 51970 grad_norm: 0.1434 loss: 0.0791 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.6316 recall@top3: 0.7105 prec@top3: 0.6140 recall@top5: 0.8421 prec@top5: 0.4526 loss_action_cls: 0.0791 2023/03/10 17:56:10 - mmengine - INFO - Epoch(train) [3][2620/4451] lr: 1.6806e-06 eta: 15:00:01 time: 0.6277 data_time: 0.0129 memory: 51970 grad_norm: 0.1505 loss: 0.0756 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.6184 recall@top3: 0.7807 prec@top3: 0.6491 recall@top5: 0.9825 prec@top5: 0.5053 loss_action_cls: 0.0756 2023/03/10 17:56:26 - mmengine - INFO - Epoch(train) [3][2640/4451] lr: 1.6830e-06 eta: 14:59:55 time: 0.7602 data_time: 0.0121 memory: 51970 grad_norm: 0.1417 loss: 0.0745 recall@thr=0.5: 0.4242 prec@thr=0.5: 0.5682 recall@top3: 0.6818 prec@top3: 0.6061 recall@top5: 0.7500 prec@top5: 0.4091 loss_action_cls: 0.0745 2023/03/10 17:56:38 - mmengine - INFO - Epoch(train) [3][2660/4451] lr: 1.6854e-06 eta: 14:59:29 time: 0.6064 data_time: 0.0133 memory: 51970 grad_norm: 0.1496 loss: 0.0624 recall@thr=0.5: 0.5972 prec@thr=0.5: 0.8056 recall@top3: 0.8438 prec@top3: 0.7361 recall@top5: 0.9514 prec@top5: 0.5083 loss_action_cls: 0.0624 2023/03/10 17:56:52 - mmengine - INFO - Epoch(train) [3][2680/4451] lr: 1.6878e-06 eta: 14:59:17 time: 0.7125 data_time: 0.0128 memory: 51970 grad_norm: 0.1472 loss: 0.0677 recall@thr=0.5: 0.6700 prec@thr=0.5: 0.7533 recall@top3: 0.8400 prec@top3: 0.6533 recall@top5: 0.9667 prec@top5: 0.4480 loss_action_cls: 0.0677 2023/03/10 17:57:06 - mmengine - INFO - Epoch(train) [3][2700/4451] lr: 1.6902e-06 eta: 14:59:02 time: 0.6903 data_time: 0.0136 memory: 51970 grad_norm: 0.1424 loss: 0.0762 recall@thr=0.5: 0.5344 prec@thr=0.5: 0.6720 recall@top3: 0.7409 prec@top3: 0.6774 recall@top5: 0.9194 prec@top5: 0.5290 loss_action_cls: 0.0762 2023/03/10 17:57:24 - mmengine - INFO - Epoch(train) [3][2720/4451] lr: 1.6926e-06 eta: 14:59:19 time: 0.9284 data_time: 0.0121 memory: 51970 grad_norm: 0.1465 loss: 0.0781 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.8571 recall@top3: 0.7460 prec@top3: 0.7460 recall@top5: 0.9048 prec@top5: 0.5429 loss_action_cls: 0.0781 2023/03/10 17:57:37 - mmengine - INFO - Epoch(train) [3][2740/4451] lr: 1.6950e-06 eta: 14:58:54 time: 0.6138 data_time: 0.0132 memory: 51970 grad_norm: 0.1541 loss: 0.0770 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.7460 recall@top3: 0.7857 prec@top3: 0.5079 recall@top5: 0.9127 prec@top5: 0.3714 loss_action_cls: 0.0770 2023/03/10 17:57:50 - mmengine - INFO - Epoch(train) [3][2760/4451] lr: 1.6974e-06 eta: 14:58:40 time: 0.6920 data_time: 0.0126 memory: 51970 grad_norm: 0.1604 loss: 0.0799 recall@thr=0.5: 0.4867 prec@thr=0.5: 0.4727 recall@top3: 0.5867 prec@top3: 0.4133 recall@top5: 0.6900 prec@top5: 0.3040 loss_action_cls: 0.0799 2023/03/10 17:58:05 - mmengine - INFO - Epoch(train) [3][2780/4451] lr: 1.6998e-06 eta: 14:58:27 time: 0.7045 data_time: 0.1226 memory: 51970 grad_norm: 0.1485 loss: 0.0642 recall@thr=0.5: 0.6466 prec@thr=0.5: 0.6552 recall@top3: 0.7931 prec@top3: 0.5632 recall@top5: 0.9454 prec@top5: 0.4276 loss_action_cls: 0.0642 2023/03/10 17:58:19 - mmengine - INFO - Epoch(train) [3][2800/4451] lr: 1.7022e-06 eta: 14:58:13 time: 0.7009 data_time: 0.1037 memory: 51970 grad_norm: 0.1568 loss: 0.0773 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.7833 recall@top3: 0.9010 prec@top3: 0.6875 recall@top5: 0.9844 prec@top5: 0.4750 loss_action_cls: 0.0773 2023/03/10 17:58:32 - mmengine - INFO - Epoch(train) [3][2820/4451] lr: 1.7047e-06 eta: 14:57:56 time: 0.6705 data_time: 0.0148 memory: 51970 grad_norm: 0.1484 loss: 0.0746 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5794 recall@top3: 0.6706 prec@top3: 0.4921 recall@top5: 0.8889 prec@top5: 0.3810 loss_action_cls: 0.0746 2023/03/10 17:58:47 - mmengine - INFO - Epoch(train) [3][2840/4451] lr: 1.7071e-06 eta: 14:57:48 time: 0.7400 data_time: 0.0121 memory: 51970 grad_norm: 0.1454 loss: 0.0648 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.5588 recall@top3: 0.6667 prec@top3: 0.5294 recall@top5: 0.9020 prec@top5: 0.3882 loss_action_cls: 0.0648 2023/03/10 17:59:00 - mmengine - INFO - Epoch(train) [3][2860/4451] lr: 1.7095e-06 eta: 14:57:27 time: 0.6425 data_time: 0.0519 memory: 51970 grad_norm: 0.1492 loss: 0.0824 recall@thr=0.5: 0.7741 prec@thr=0.5: 0.8056 recall@top3: 0.7519 prec@top3: 0.6667 recall@top5: 0.9519 prec@top5: 0.4889 loss_action_cls: 0.0824 2023/03/10 17:59:13 - mmengine - INFO - Epoch(train) [3][2880/4451] lr: 1.7119e-06 eta: 14:57:11 time: 0.6817 data_time: 0.1687 memory: 51970 grad_norm: 0.1543 loss: 0.0849 recall@thr=0.5: 0.4598 prec@thr=0.5: 0.5538 recall@top3: 0.6682 prec@top3: 0.5909 recall@top5: 0.8076 prec@top5: 0.4455 loss_action_cls: 0.0849 2023/03/10 17:59:28 - mmengine - INFO - Epoch(train) [3][2900/4451] lr: 1.7143e-06 eta: 14:57:05 time: 0.7601 data_time: 0.3190 memory: 51970 grad_norm: 0.1402 loss: 0.0693 recall@thr=0.5: 0.7600 prec@thr=0.5: 0.7467 recall@top3: 0.7667 prec@top3: 0.7467 recall@top5: 0.9100 prec@top5: 0.5440 loss_action_cls: 0.0693 2023/03/10 17:59:41 - mmengine - INFO - Epoch(train) [3][2920/4451] lr: 1.7167e-06 eta: 14:56:41 time: 0.6241 data_time: 0.1068 memory: 51970 grad_norm: 0.1507 loss: 0.0857 recall@thr=0.5: 0.4548 prec@thr=0.5: 0.6190 recall@top3: 0.7905 prec@top3: 0.6190 recall@top5: 0.8452 prec@top5: 0.4000 loss_action_cls: 0.0857 2023/03/10 17:59:54 - mmengine - INFO - Epoch(train) [3][2940/4451] lr: 1.7191e-06 eta: 14:56:22 time: 0.6510 data_time: 0.0949 memory: 51970 grad_norm: 0.1521 loss: 0.0715 recall@thr=0.5: 0.6913 prec@thr=0.5: 0.7899 recall@top3: 0.8072 prec@top3: 0.6957 recall@top5: 0.8790 prec@top5: 0.4696 loss_action_cls: 0.0715 2023/03/10 18:00:10 - mmengine - INFO - Epoch(train) [3][2960/4451] lr: 1.7215e-06 eta: 14:56:21 time: 0.7981 data_time: 0.0219 memory: 51970 grad_norm: 0.1453 loss: 0.0552 recall@thr=0.5: 0.5206 prec@thr=0.5: 0.6746 recall@top3: 0.6698 prec@top3: 0.6032 recall@top5: 0.9389 prec@top5: 0.5143 loss_action_cls: 0.0552 2023/03/10 18:00:24 - mmengine - INFO - Epoch(train) [3][2980/4451] lr: 1.7239e-06 eta: 14:56:05 time: 0.6860 data_time: 0.0127 memory: 51970 grad_norm: 0.1488 loss: 0.0709 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.7600 recall@top3: 0.8647 prec@top3: 0.6400 recall@top5: 0.9467 prec@top5: 0.4480 loss_action_cls: 0.0709 2023/03/10 18:00:40 - mmengine - INFO - Epoch(train) [3][3000/4451] lr: 1.7263e-06 eta: 14:56:08 time: 0.8269 data_time: 0.0118 memory: 51970 grad_norm: 0.1484 loss: 0.0735 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8519 recall@top3: 0.8750 prec@top3: 0.5926 recall@top5: 0.9676 prec@top5: 0.4111 loss_action_cls: 0.0735 2023/03/10 18:00:53 - mmengine - INFO - Epoch(train) [3][3020/4451] lr: 1.7287e-06 eta: 14:55:48 time: 0.6505 data_time: 0.0130 memory: 51970 grad_norm: 0.1491 loss: 0.0742 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7500 recall@top3: 0.9167 prec@top3: 0.5833 recall@top5: 0.9792 prec@top5: 0.3750 loss_action_cls: 0.0742 2023/03/10 18:01:07 - mmengine - INFO - Epoch(train) [3][3040/4451] lr: 1.7311e-06 eta: 14:55:30 time: 0.6664 data_time: 0.0122 memory: 51970 grad_norm: 0.1412 loss: 0.0784 recall@thr=0.5: 0.6286 prec@thr=0.5: 0.6508 recall@top3: 0.7000 prec@top3: 0.5556 recall@top5: 0.8857 prec@top5: 0.4381 loss_action_cls: 0.0784 2023/03/10 18:01:19 - mmengine - INFO - Epoch(train) [3][3060/4451] lr: 1.7335e-06 eta: 14:55:08 time: 0.6316 data_time: 0.0133 memory: 51970 grad_norm: 0.1466 loss: 0.0736 recall@thr=0.5: 0.6292 prec@thr=0.5: 0.8542 recall@top3: 0.7021 prec@top3: 0.6250 recall@top5: 0.8292 prec@top5: 0.4500 loss_action_cls: 0.0736 2023/03/10 18:01:36 - mmengine - INFO - Epoch(train) [3][3080/4451] lr: 1.7359e-06 eta: 14:55:11 time: 0.8284 data_time: 0.0112 memory: 51970 grad_norm: 0.1438 loss: 0.0652 recall@thr=0.5: 0.4853 prec@thr=0.5: 0.4902 recall@top3: 0.7696 prec@top3: 0.5686 recall@top5: 0.8824 prec@top5: 0.4235 loss_action_cls: 0.0652 2023/03/10 18:01:49 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 18:01:50 - mmengine - INFO - Epoch(train) [3][3100/4451] lr: 1.7383e-06 eta: 14:54:59 time: 0.7143 data_time: 0.0126 memory: 51970 grad_norm: 0.1537 loss: 0.0801 recall@thr=0.5: 0.8264 prec@thr=0.5: 0.8278 recall@top3: 0.7986 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0801 2023/03/10 18:02:06 - mmengine - INFO - Epoch(train) [3][3120/4451] lr: 1.7407e-06 eta: 14:55:01 time: 0.8229 data_time: 0.0115 memory: 51970 grad_norm: 0.1457 loss: 0.0819 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.7179 recall@top3: 0.8013 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0819 2023/03/10 18:02:19 - mmengine - INFO - Epoch(train) [3][3140/4451] lr: 1.7431e-06 eta: 14:54:41 time: 0.6493 data_time: 0.0123 memory: 51970 grad_norm: 0.1408 loss: 0.0704 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7348 recall@top3: 0.7689 prec@top3: 0.6364 recall@top5: 0.8864 prec@top5: 0.4636 loss_action_cls: 0.0704 2023/03/10 18:02:38 - mmengine - INFO - Epoch(train) [3][3160/4451] lr: 1.7455e-06 eta: 14:54:55 time: 0.9166 data_time: 0.0123 memory: 51970 grad_norm: 0.1498 loss: 0.0868 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.5702 recall@top3: 0.8421 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4421 loss_action_cls: 0.0868 2023/03/10 18:02:50 - mmengine - INFO - Epoch(train) [3][3180/4451] lr: 1.7479e-06 eta: 14:54:29 time: 0.6024 data_time: 0.0133 memory: 51970 grad_norm: 0.1629 loss: 0.0669 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.7807 recall@top3: 0.9123 prec@top3: 0.6316 recall@top5: 0.9298 prec@top5: 0.3895 loss_action_cls: 0.0669 2023/03/10 18:03:07 - mmengine - INFO - Epoch(train) [3][3200/4451] lr: 1.7503e-06 eta: 14:54:38 time: 0.8746 data_time: 0.0132 memory: 51970 grad_norm: 0.1655 loss: 0.0838 recall@thr=0.5: 0.5677 prec@thr=0.5: 0.7396 recall@top3: 0.6927 prec@top3: 0.5833 recall@top5: 0.8854 prec@top5: 0.4625 loss_action_cls: 0.0838 2023/03/10 18:03:22 - mmengine - INFO - Epoch(train) [3][3220/4451] lr: 1.7527e-06 eta: 14:54:27 time: 0.7243 data_time: 0.0128 memory: 51970 grad_norm: 0.1496 loss: 0.0709 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8116 recall@top3: 0.7971 prec@top3: 0.7391 recall@top5: 0.9420 prec@top5: 0.5391 loss_action_cls: 0.0709 2023/03/10 18:03:36 - mmengine - INFO - Epoch(train) [3][3240/4451] lr: 1.7551e-06 eta: 14:54:13 time: 0.6980 data_time: 0.0160 memory: 51970 grad_norm: 0.1478 loss: 0.0744 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.6979 recall@top3: 0.9167 prec@top3: 0.5625 recall@top5: 0.9792 prec@top5: 0.3750 loss_action_cls: 0.0744 2023/03/10 18:03:49 - mmengine - INFO - Epoch(train) [3][3260/4451] lr: 1.7575e-06 eta: 14:53:54 time: 0.6544 data_time: 0.0126 memory: 51970 grad_norm: 0.1522 loss: 0.0645 recall@thr=0.5: 0.5382 prec@thr=0.5: 0.7986 recall@top3: 0.7431 prec@top3: 0.6111 recall@top5: 0.8507 prec@top5: 0.4417 loss_action_cls: 0.0645 2023/03/10 18:04:03 - mmengine - INFO - Epoch(train) [3][3280/4451] lr: 1.7599e-06 eta: 14:53:42 time: 0.7162 data_time: 0.0117 memory: 51970 grad_norm: 0.1502 loss: 0.0660 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7262 recall@top3: 0.8601 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4714 loss_action_cls: 0.0660 2023/03/10 18:04:19 - mmengine - INFO - Epoch(train) [3][3300/4451] lr: 1.7623e-06 eta: 14:53:40 time: 0.7923 data_time: 0.0124 memory: 51970 grad_norm: 0.1472 loss: 0.0736 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.5088 recall@top3: 0.6930 prec@top3: 0.4386 recall@top5: 0.8421 prec@top5: 0.3263 loss_action_cls: 0.0736 2023/03/10 18:04:34 - mmengine - INFO - Epoch(train) [3][3320/4451] lr: 1.7647e-06 eta: 14:53:35 time: 0.7680 data_time: 0.0133 memory: 51970 grad_norm: 0.1540 loss: 0.0754 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.6377 recall@top3: 0.6993 prec@top3: 0.5797 recall@top5: 0.8986 prec@top5: 0.4435 loss_action_cls: 0.0754 2023/03/10 18:04:50 - mmengine - INFO - Epoch(train) [3][3340/4451] lr: 1.7671e-06 eta: 14:53:31 time: 0.7770 data_time: 0.0129 memory: 51970 grad_norm: 0.1430 loss: 0.0767 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.7986 recall@top3: 0.7847 prec@top3: 0.6250 recall@top5: 0.9167 prec@top5: 0.4417 loss_action_cls: 0.0767 2023/03/10 18:05:07 - mmengine - INFO - Epoch(train) [3][3360/4451] lr: 1.7695e-06 eta: 14:53:39 time: 0.8738 data_time: 0.0132 memory: 51970 grad_norm: 0.1456 loss: 0.0806 recall@thr=0.5: 0.6200 prec@thr=0.5: 0.6733 recall@top3: 0.8467 prec@top3: 0.6667 recall@top5: 0.9733 prec@top5: 0.4480 loss_action_cls: 0.0806 2023/03/10 18:05:21 - mmengine - INFO - Epoch(train) [3][3380/4451] lr: 1.7719e-06 eta: 14:53:24 time: 0.6899 data_time: 0.0123 memory: 51970 grad_norm: 0.1488 loss: 0.0730 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.8148 recall@top3: 0.7037 prec@top3: 0.6852 recall@top5: 0.9167 prec@top5: 0.5222 loss_action_cls: 0.0730 2023/03/10 18:05:38 - mmengine - INFO - Epoch(train) [3][3400/4451] lr: 1.7743e-06 eta: 14:53:29 time: 0.8550 data_time: 0.0492 memory: 51970 grad_norm: 0.1519 loss: 0.0834 recall@thr=0.5: 0.3627 prec@thr=0.5: 0.3922 recall@top3: 0.6667 prec@top3: 0.4314 recall@top5: 0.7255 prec@top5: 0.3059 loss_action_cls: 0.0834 2023/03/10 18:05:52 - mmengine - INFO - Epoch(train) [3][3420/4451] lr: 1.7767e-06 eta: 14:53:16 time: 0.7031 data_time: 0.0892 memory: 51970 grad_norm: 0.1507 loss: 0.0764 recall@thr=0.5: 0.6524 prec@thr=0.5: 0.8238 recall@top3: 0.7857 prec@top3: 0.7048 recall@top5: 0.9190 prec@top5: 0.5200 loss_action_cls: 0.0764 2023/03/10 18:06:09 - mmengine - INFO - Epoch(train) [3][3440/4451] lr: 1.7791e-06 eta: 14:53:18 time: 0.8290 data_time: 0.0642 memory: 51970 grad_norm: 0.1531 loss: 0.0812 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7569 recall@top3: 0.8229 prec@top3: 0.6528 recall@top5: 0.9340 prec@top5: 0.4583 loss_action_cls: 0.0812 2023/03/10 18:06:23 - mmengine - INFO - Epoch(train) [3][3460/4451] lr: 1.7815e-06 eta: 14:53:03 time: 0.6904 data_time: 0.0112 memory: 51970 grad_norm: 0.1469 loss: 0.0747 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6111 recall@top3: 0.6111 prec@top3: 0.5370 recall@top5: 0.7824 prec@top5: 0.4222 loss_action_cls: 0.0747 2023/03/10 18:06:39 - mmengine - INFO - Epoch(train) [3][3480/4451] lr: 1.7839e-06 eta: 14:53:01 time: 0.7988 data_time: 0.0136 memory: 51970 grad_norm: 0.1508 loss: 0.0806 recall@thr=0.5: 0.2059 prec@thr=0.5: 0.3824 recall@top3: 0.7255 prec@top3: 0.4706 recall@top5: 0.9118 prec@top5: 0.3647 loss_action_cls: 0.0806 2023/03/10 18:06:53 - mmengine - INFO - Epoch(train) [3][3500/4451] lr: 1.7863e-06 eta: 14:52:50 time: 0.7237 data_time: 0.0109 memory: 51970 grad_norm: 0.1456 loss: 0.0799 recall@thr=0.5: 0.3444 prec@thr=0.5: 0.5667 recall@top3: 0.7111 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.4000 loss_action_cls: 0.0799 2023/03/10 18:07:07 - mmengine - INFO - Epoch(train) [3][3520/4451] lr: 1.7887e-06 eta: 14:52:37 time: 0.7013 data_time: 0.0115 memory: 51970 grad_norm: 0.1521 loss: 0.0720 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.9048 recall@top3: 0.8810 prec@top3: 0.4286 recall@top5: 0.8810 prec@top5: 0.2571 loss_action_cls: 0.0720 2023/03/10 18:07:20 - mmengine - INFO - Epoch(train) [3][3540/4451] lr: 1.7911e-06 eta: 14:52:13 time: 0.6189 data_time: 0.0135 memory: 51970 grad_norm: 0.1466 loss: 0.0725 recall@thr=0.5: 0.4804 prec@thr=0.5: 0.5588 recall@top3: 0.6863 prec@top3: 0.4314 recall@top5: 0.8137 prec@top5: 0.3059 loss_action_cls: 0.0725 2023/03/10 18:07:35 - mmengine - INFO - Epoch(train) [3][3560/4451] lr: 1.7935e-06 eta: 14:52:10 time: 0.7890 data_time: 0.0293 memory: 51970 grad_norm: 0.1455 loss: 0.0758 recall@thr=0.5: 0.7588 prec@thr=0.5: 0.8158 recall@top3: 0.9342 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.4105 loss_action_cls: 0.0758 2023/03/10 18:07:48 - mmengine - INFO - Epoch(train) [3][3580/4451] lr: 1.7959e-06 eta: 14:51:50 time: 0.6536 data_time: 0.0221 memory: 51970 grad_norm: 0.1474 loss: 0.0835 recall@thr=0.5: 0.5357 prec@thr=0.5: 0.5714 recall@top3: 0.7659 prec@top3: 0.6190 recall@top5: 0.9246 prec@top5: 0.4762 loss_action_cls: 0.0835 2023/03/10 18:08:03 - mmengine - INFO - Epoch(train) [3][3600/4451] lr: 1.7983e-06 eta: 14:51:42 time: 0.7482 data_time: 0.1093 memory: 51970 grad_norm: 0.1455 loss: 0.0658 recall@thr=0.5: 0.8222 prec@thr=0.5: 0.6889 recall@top3: 0.9111 prec@top3: 0.5556 recall@top5: 0.9556 prec@top5: 0.3600 loss_action_cls: 0.0658 2023/03/10 18:08:18 - mmengine - INFO - Epoch(train) [3][3620/4451] lr: 1.8007e-06 eta: 14:51:29 time: 0.7034 data_time: 0.0593 memory: 51970 grad_norm: 0.1491 loss: 0.0780 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7685 recall@top3: 0.6806 prec@top3: 0.6481 recall@top5: 0.8194 prec@top5: 0.4889 loss_action_cls: 0.0780 2023/03/10 18:08:33 - mmengine - INFO - Epoch(train) [3][3640/4451] lr: 1.8031e-06 eta: 14:51:27 time: 0.7963 data_time: 0.0129 memory: 51970 grad_norm: 0.1428 loss: 0.0786 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.7462 recall@top3: 0.8106 prec@top3: 0.5758 recall@top5: 0.9015 prec@top5: 0.3909 loss_action_cls: 0.0786 2023/03/10 18:08:47 - mmengine - INFO - Epoch(train) [3][3660/4451] lr: 1.8055e-06 eta: 14:51:11 time: 0.6833 data_time: 0.0125 memory: 51970 grad_norm: 0.1491 loss: 0.0702 recall@thr=0.5: 0.5764 prec@thr=0.5: 0.7049 recall@top3: 0.7764 prec@top3: 0.7361 recall@top5: 0.9208 prec@top5: 0.5250 loss_action_cls: 0.0702 2023/03/10 18:09:03 - mmengine - INFO - Epoch(train) [3][3680/4451] lr: 1.8079e-06 eta: 14:51:09 time: 0.8024 data_time: 0.0324 memory: 51970 grad_norm: 0.1504 loss: 0.0705 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8437 recall@top3: 0.8125 prec@top3: 0.6042 recall@top5: 0.8438 prec@top5: 0.3875 loss_action_cls: 0.0705 2023/03/10 18:09:19 - mmengine - INFO - Epoch(train) [3][3700/4451] lr: 1.8103e-06 eta: 14:51:04 time: 0.7722 data_time: 0.0128 memory: 51970 grad_norm: 0.1433 loss: 0.0672 recall@thr=0.5: 0.4545 prec@thr=0.5: 0.4924 recall@top3: 0.6136 prec@top3: 0.5303 recall@top5: 0.8409 prec@top5: 0.4182 loss_action_cls: 0.0672 2023/03/10 18:09:32 - mmengine - INFO - Epoch(train) [3][3720/4451] lr: 1.8127e-06 eta: 14:50:49 time: 0.6921 data_time: 0.1891 memory: 51970 grad_norm: 0.1523 loss: 0.0666 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6491 recall@top3: 0.7544 prec@top3: 0.4912 recall@top5: 0.7982 prec@top5: 0.3263 loss_action_cls: 0.0666 2023/03/10 18:09:48 - mmengine - INFO - Epoch(train) [3][3740/4451] lr: 1.8151e-06 eta: 14:50:43 time: 0.7604 data_time: 0.0503 memory: 51970 grad_norm: 0.1458 loss: 0.0693 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6618 recall@top3: 0.7451 prec@top3: 0.6078 recall@top5: 0.9216 prec@top5: 0.4471 loss_action_cls: 0.0693 2023/03/10 18:10:03 - mmengine - INFO - Epoch(train) [3][3760/4451] lr: 1.8175e-06 eta: 14:50:39 time: 0.7866 data_time: 0.0139 memory: 51970 grad_norm: 0.1515 loss: 0.0641 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6575 recall@top3: 0.7250 prec@top3: 0.5333 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0641 2023/03/10 18:10:17 - mmengine - INFO - Epoch(train) [3][3780/4451] lr: 1.8199e-06 eta: 14:50:21 time: 0.6684 data_time: 0.0296 memory: 51970 grad_norm: 0.1418 loss: 0.0548 recall@thr=0.5: 0.9298 prec@thr=0.5: 0.8333 recall@top3: 0.9298 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4000 loss_action_cls: 0.0548 2023/03/10 18:10:34 - mmengine - INFO - Epoch(train) [3][3800/4451] lr: 1.8223e-06 eta: 14:50:26 time: 0.8560 data_time: 0.1059 memory: 51970 grad_norm: 0.1493 loss: 0.0563 recall@thr=0.5: 0.5044 prec@thr=0.5: 0.7105 recall@top3: 0.6404 prec@top3: 0.5263 recall@top5: 0.8860 prec@top5: 0.4316 loss_action_cls: 0.0563 2023/03/10 18:10:49 - mmengine - INFO - Epoch(train) [3][3820/4451] lr: 1.8248e-06 eta: 14:50:17 time: 0.7433 data_time: 0.1421 memory: 51970 grad_norm: 0.1517 loss: 0.0709 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.5556 recall@top3: 0.8519 prec@top3: 0.5000 recall@top5: 0.8519 prec@top5: 0.3000 loss_action_cls: 0.0709 2023/03/10 18:11:05 - mmengine - INFO - Epoch(train) [3][3840/4451] lr: 1.8272e-06 eta: 14:50:15 time: 0.7979 data_time: 0.0530 memory: 51970 grad_norm: 0.1506 loss: 0.0768 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.7157 recall@top3: 0.7784 prec@top3: 0.6667 recall@top5: 0.8490 prec@top5: 0.4471 loss_action_cls: 0.0768 2023/03/10 18:11:18 - mmengine - INFO - Epoch(train) [3][3860/4451] lr: 1.8296e-06 eta: 14:49:57 time: 0.6715 data_time: 0.0834 memory: 51970 grad_norm: 0.1546 loss: 0.0618 recall@thr=0.5: 0.8427 prec@thr=0.5: 0.8673 recall@top3: 0.8527 prec@top3: 0.8133 recall@top5: 0.9787 prec@top5: 0.5760 loss_action_cls: 0.0618 2023/03/10 18:11:35 - mmengine - INFO - Epoch(train) [3][3880/4451] lr: 1.8320e-06 eta: 14:49:58 time: 0.8190 data_time: 0.3129 memory: 51970 grad_norm: 0.1449 loss: 0.0711 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.5965 recall@top3: 0.7105 prec@top3: 0.4386 recall@top5: 0.9035 prec@top5: 0.3579 loss_action_cls: 0.0711 2023/03/10 18:11:48 - mmengine - INFO - Epoch(train) [3][3900/4451] lr: 1.8344e-06 eta: 14:49:43 time: 0.6977 data_time: 0.2644 memory: 51970 grad_norm: 0.1434 loss: 0.0769 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5000 recall@top3: 0.6250 prec@top3: 0.5694 recall@top5: 0.7604 prec@top5: 0.4250 loss_action_cls: 0.0769 2023/03/10 18:12:05 - mmengine - INFO - Epoch(train) [3][3920/4451] lr: 1.8368e-06 eta: 14:49:42 time: 0.8032 data_time: 0.3670 memory: 51970 grad_norm: 0.1455 loss: 0.0580 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.8287 recall@top3: 0.7593 prec@top3: 0.7222 recall@top5: 0.9269 prec@top5: 0.5444 loss_action_cls: 0.0580 2023/03/10 18:12:18 - mmengine - INFO - Epoch(train) [3][3940/4451] lr: 1.8392e-06 eta: 14:49:22 time: 0.6531 data_time: 0.2271 memory: 51970 grad_norm: 0.1473 loss: 0.0612 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.8016 recall@top3: 0.8492 prec@top3: 0.6825 recall@top5: 0.8968 prec@top5: 0.4190 loss_action_cls: 0.0612 2023/03/10 18:12:34 - mmengine - INFO - Epoch(train) [3][3960/4451] lr: 1.8416e-06 eta: 14:49:20 time: 0.8024 data_time: 0.3740 memory: 51970 grad_norm: 0.1448 loss: 0.0700 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7759 recall@top3: 0.9074 prec@top3: 0.7778 recall@top5: 0.9491 prec@top5: 0.5000 loss_action_cls: 0.0700 2023/03/10 18:12:45 - mmengine - INFO - Epoch(train) [3][3980/4451] lr: 1.8440e-06 eta: 14:48:53 time: 0.5877 data_time: 0.1650 memory: 51970 grad_norm: 0.1482 loss: 0.0661 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7982 recall@top3: 0.7193 prec@top3: 0.6316 recall@top5: 0.9298 prec@top5: 0.5053 loss_action_cls: 0.0661 2023/03/10 18:13:03 - mmengine - INFO - Epoch(train) [3][4000/4451] lr: 1.8464e-06 eta: 14:49:02 time: 0.8956 data_time: 0.1460 memory: 51970 grad_norm: 0.1472 loss: 0.0613 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.7222 recall@top3: 0.7698 prec@top3: 0.5714 recall@top5: 0.9127 prec@top5: 0.4190 loss_action_cls: 0.0613 2023/03/10 18:13:17 - mmengine - INFO - Epoch(train) [3][4020/4451] lr: 1.8488e-06 eta: 14:48:47 time: 0.6952 data_time: 0.0124 memory: 51970 grad_norm: 0.1368 loss: 0.0632 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.9118 recall@top3: 0.8490 prec@top3: 0.8431 recall@top5: 0.8902 prec@top5: 0.5412 loss_action_cls: 0.0632 2023/03/10 18:13:33 - mmengine - INFO - Epoch(train) [3][4040/4451] lr: 1.8512e-06 eta: 14:48:41 time: 0.7710 data_time: 0.0119 memory: 51970 grad_norm: 0.1530 loss: 0.0779 recall@thr=0.5: 0.4561 prec@thr=0.5: 0.4386 recall@top3: 0.6842 prec@top3: 0.4561 recall@top5: 0.9123 prec@top5: 0.3895 loss_action_cls: 0.0779 2023/03/10 18:13:45 - mmengine - INFO - Epoch(train) [3][4060/4451] lr: 1.8536e-06 eta: 14:48:18 time: 0.6253 data_time: 0.0121 memory: 51970 grad_norm: 0.1373 loss: 0.0782 recall@thr=0.5: 0.7069 prec@thr=0.5: 0.7672 recall@top3: 0.7989 prec@top3: 0.7126 recall@top5: 0.9253 prec@top5: 0.5103 loss_action_cls: 0.0782 2023/03/10 18:14:01 - mmengine - INFO - Epoch(train) [3][4080/4451] lr: 1.8560e-06 eta: 14:48:16 time: 0.8008 data_time: 0.0551 memory: 51970 grad_norm: 0.1483 loss: 0.0638 recall@thr=0.5: 0.6328 prec@thr=0.5: 0.7083 recall@top3: 0.8125 prec@top3: 0.6042 recall@top5: 0.9089 prec@top5: 0.4187 loss_action_cls: 0.0638 2023/03/10 18:14:14 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 18:14:15 - mmengine - INFO - Epoch(train) [3][4100/4451] lr: 1.8584e-06 eta: 14:48:00 time: 0.6814 data_time: 0.0762 memory: 51970 grad_norm: 0.1386 loss: 0.0638 recall@thr=0.5: 0.4280 prec@thr=0.5: 0.5379 recall@top3: 0.6364 prec@top3: 0.4545 recall@top5: 0.8712 prec@top5: 0.3455 loss_action_cls: 0.0638 2023/03/10 18:14:29 - mmengine - INFO - Epoch(train) [3][4120/4451] lr: 1.8608e-06 eta: 14:47:48 time: 0.7245 data_time: 0.0125 memory: 51970 grad_norm: 0.1460 loss: 0.0637 recall@thr=0.5: 0.6007 prec@thr=0.5: 0.5243 recall@top3: 0.8368 prec@top3: 0.5972 recall@top5: 0.9792 prec@top5: 0.4417 loss_action_cls: 0.0637 2023/03/10 18:14:42 - mmengine - INFO - Epoch(train) [3][4140/4451] lr: 1.8632e-06 eta: 14:47:29 time: 0.6565 data_time: 0.0137 memory: 51970 grad_norm: 0.1462 loss: 0.0637 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7235 recall@top3: 0.8492 prec@top3: 0.6515 recall@top5: 0.9886 prec@top5: 0.4909 loss_action_cls: 0.0637 2023/03/10 18:14:58 - mmengine - INFO - Epoch(train) [3][4160/4451] lr: 1.8656e-06 eta: 14:47:25 time: 0.7820 data_time: 0.0266 memory: 51970 grad_norm: 0.1429 loss: 0.0716 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7917 recall@top3: 0.7917 prec@top3: 0.6667 recall@top5: 0.9028 prec@top5: 0.4667 loss_action_cls: 0.0716 2023/03/10 18:15:13 - mmengine - INFO - Epoch(train) [3][4180/4451] lr: 1.8680e-06 eta: 14:47:17 time: 0.7524 data_time: 0.0131 memory: 51970 grad_norm: 0.1456 loss: 0.0714 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7130 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9630 prec@top5: 0.4222 loss_action_cls: 0.0714 2023/03/10 18:15:25 - mmengine - INFO - Epoch(train) [3][4200/4451] lr: 1.8704e-06 eta: 14:46:51 time: 0.5972 data_time: 0.0103 memory: 51970 grad_norm: 0.1463 loss: 0.0781 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5873 recall@top3: 0.8571 prec@top3: 0.4603 recall@top5: 0.9524 prec@top5: 0.3143 loss_action_cls: 0.0781 2023/03/10 18:15:38 - mmengine - INFO - Epoch(train) [3][4220/4451] lr: 1.8728e-06 eta: 14:46:33 time: 0.6701 data_time: 0.0131 memory: 51970 grad_norm: 0.1496 loss: 0.0693 recall@thr=0.5: 0.4375 prec@thr=0.5: 0.7083 recall@top3: 0.7708 prec@top3: 0.6458 recall@top5: 0.8958 prec@top5: 0.4375 loss_action_cls: 0.0693 2023/03/10 18:15:54 - mmengine - INFO - Epoch(train) [3][4240/4451] lr: 1.8752e-06 eta: 14:46:26 time: 0.7613 data_time: 0.0192 memory: 51970 grad_norm: 0.1481 loss: 0.0673 recall@thr=0.5: 0.3860 prec@thr=0.5: 0.6053 recall@top3: 0.6930 prec@top3: 0.4737 recall@top5: 0.8333 prec@top5: 0.3263 loss_action_cls: 0.0673 2023/03/10 18:16:07 - mmengine - INFO - Epoch(train) [3][4260/4451] lr: 1.8776e-06 eta: 14:46:07 time: 0.6564 data_time: 0.0134 memory: 51970 grad_norm: 0.1508 loss: 0.0682 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7879 recall@top3: 0.8955 prec@top3: 0.7121 recall@top5: 0.9439 prec@top5: 0.4636 loss_action_cls: 0.0682 2023/03/10 18:16:21 - mmengine - INFO - Epoch(train) [3][4280/4451] lr: 1.8800e-06 eta: 14:45:56 time: 0.7325 data_time: 0.0126 memory: 51970 grad_norm: 0.1493 loss: 0.0676 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8021 recall@top3: 0.8333 prec@top3: 0.5417 recall@top5: 0.9375 prec@top5: 0.3625 loss_action_cls: 0.0676 2023/03/10 18:16:34 - mmengine - INFO - Epoch(train) [3][4300/4451] lr: 1.8824e-06 eta: 14:45:36 time: 0.6414 data_time: 0.0114 memory: 51970 grad_norm: 0.1454 loss: 0.0684 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6713 recall@top3: 0.7731 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4556 loss_action_cls: 0.0684 2023/03/10 18:16:49 - mmengine - INFO - Epoch(train) [3][4320/4451] lr: 1.8848e-06 eta: 14:45:24 time: 0.7189 data_time: 0.0128 memory: 51970 grad_norm: 0.1473 loss: 0.0639 recall@thr=0.5: 0.6422 prec@thr=0.5: 0.6961 recall@top3: 0.6716 prec@top3: 0.5294 recall@top5: 0.8824 prec@top5: 0.4235 loss_action_cls: 0.0639 2023/03/10 18:17:04 - mmengine - INFO - Epoch(train) [3][4340/4451] lr: 1.8872e-06 eta: 14:45:20 time: 0.7882 data_time: 0.0120 memory: 51970 grad_norm: 0.1407 loss: 0.0649 recall@thr=0.5: 0.6435 prec@thr=0.5: 0.7315 recall@top3: 0.7361 prec@top3: 0.5741 recall@top5: 0.8843 prec@top5: 0.4222 loss_action_cls: 0.0649 2023/03/10 18:17:17 - mmengine - INFO - Epoch(train) [3][4360/4451] lr: 1.8896e-06 eta: 14:44:59 time: 0.6392 data_time: 0.0132 memory: 51970 grad_norm: 0.1459 loss: 0.0715 recall@thr=0.5: 0.6129 prec@thr=0.5: 0.5914 recall@top3: 0.8898 prec@top3: 0.6022 recall@top5: 0.9355 prec@top5: 0.3935 loss_action_cls: 0.0715 2023/03/10 18:17:31 - mmengine - INFO - Epoch(train) [3][4380/4451] lr: 1.8920e-06 eta: 14:44:44 time: 0.6942 data_time: 0.0124 memory: 51970 grad_norm: 0.1431 loss: 0.0717 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8148 recall@top3: 0.8287 prec@top3: 0.7407 recall@top5: 0.9444 prec@top5: 0.5222 loss_action_cls: 0.0717 2023/03/10 18:17:45 - mmengine - INFO - Epoch(train) [3][4400/4451] lr: 1.8944e-06 eta: 14:44:31 time: 0.7108 data_time: 0.0129 memory: 51970 grad_norm: 0.1490 loss: 0.0754 recall@thr=0.5: 0.5905 prec@thr=0.5: 0.6286 recall@top3: 0.6810 prec@top3: 0.4381 recall@top5: 0.8667 prec@top5: 0.3543 loss_action_cls: 0.0754 2023/03/10 18:17:59 - mmengine - INFO - Epoch(train) [3][4420/4451] lr: 1.8968e-06 eta: 14:44:13 time: 0.6692 data_time: 0.0131 memory: 51970 grad_norm: 0.1485 loss: 0.0730 recall@thr=0.5: 0.6265 prec@thr=0.5: 0.7346 recall@top3: 0.6679 prec@top3: 0.5926 recall@top5: 0.8981 prec@top5: 0.5037 loss_action_cls: 0.0730 2023/03/10 18:18:13 - mmengine - INFO - Epoch(train) [3][4440/4451] lr: 1.8992e-06 eta: 14:44:03 time: 0.7381 data_time: 0.0132 memory: 51970 grad_norm: 0.1512 loss: 0.0701 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.6032 recall@top3: 0.8095 prec@top3: 0.6667 recall@top5: 0.9603 prec@top5: 0.4667 loss_action_cls: 0.0701 2023/03/10 18:18:18 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 18:18:18 - mmengine - INFO - Epoch(train) [3][4451/4451] lr: 1.9005e-06 eta: 14:43:38 time: 0.5271 data_time: 0.0119 memory: 51970 grad_norm: 0.1553 loss: 0.0734 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.9091 recall@top3: 0.8485 prec@top3: 0.5152 recall@top5: 1.0000 prec@top5: 0.3818 loss_action_cls: 0.0734 2023/03/10 18:18:18 - mmengine - INFO - Saving checkpoint at 3 epochs 2023/03/10 18:18:25 - mmengine - INFO - Epoch(val) [3][ 20/6282] eta: 0:08:35 time: 0.0823 data_time: 0.0373 memory: 2331 2023/03/10 18:18:26 - mmengine - INFO - Epoch(val) [3][ 40/6282] eta: 0:07:15 time: 0.0574 data_time: 0.0136 memory: 2331 2023/03/10 18:18:27 - mmengine - INFO - Epoch(val) [3][ 60/6282] eta: 0:07:01 time: 0.0638 data_time: 0.0210 memory: 2331 2023/03/10 18:18:28 - mmengine - INFO - Epoch(val) [3][ 80/6282] eta: 0:06:52 time: 0.0627 data_time: 0.0202 memory: 2331 2023/03/10 18:18:30 - mmengine - INFO - Epoch(val) [3][ 100/6282] eta: 0:06:54 time: 0.0690 data_time: 0.0258 memory: 2331 2023/03/10 18:18:31 - mmengine - INFO - Epoch(val) [3][ 120/6282] eta: 0:06:53 time: 0.0673 data_time: 0.0129 memory: 2934 2023/03/10 18:18:32 - mmengine - INFO - Epoch(val) [3][ 140/6282] eta: 0:06:49 time: 0.0642 data_time: 0.0032 memory: 2934 2023/03/10 18:18:34 - mmengine - INFO - Epoch(val) [3][ 160/6282] eta: 0:06:46 time: 0.0641 data_time: 0.0038 memory: 2934 2023/03/10 18:18:35 - mmengine - INFO - Epoch(val) [3][ 180/6282] eta: 0:06:54 time: 0.0809 data_time: 0.0202 memory: 2934 2023/03/10 18:18:37 - mmengine - INFO - Epoch(val) [3][ 200/6282] eta: 0:06:49 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/10 18:18:38 - mmengine - INFO - Epoch(val) [3][ 220/6282] eta: 0:06:38 time: 0.0496 data_time: 0.0025 memory: 2396 2023/03/10 18:18:39 - mmengine - INFO - Epoch(val) [3][ 240/6282] eta: 0:06:30 time: 0.0532 data_time: 0.0078 memory: 2396 2023/03/10 18:18:40 - mmengine - INFO - Epoch(val) [3][ 260/6282] eta: 0:06:24 time: 0.0544 data_time: 0.0075 memory: 2396 2023/03/10 18:18:41 - mmengine - INFO - Epoch(val) [3][ 280/6282] eta: 0:06:18 time: 0.0514 data_time: 0.0037 memory: 2396 2023/03/10 18:18:42 - mmengine - INFO - Epoch(val) [3][ 300/6282] eta: 0:06:17 time: 0.0651 data_time: 0.0118 memory: 2934 2023/03/10 18:18:43 - mmengine - INFO - Epoch(val) [3][ 320/6282] eta: 0:06:18 time: 0.0677 data_time: 0.0076 memory: 2934 2023/03/10 18:18:45 - mmengine - INFO - Epoch(val) [3][ 340/6282] eta: 0:06:20 time: 0.0747 data_time: 0.0150 memory: 2934 2023/03/10 18:18:46 - mmengine - INFO - Epoch(val) [3][ 360/6282] eta: 0:06:22 time: 0.0738 data_time: 0.0113 memory: 2934 2023/03/10 18:18:48 - 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eta: 0:06:06 time: 0.0655 data_time: 0.0204 memory: 2396 2023/03/10 18:19:22 - mmengine - INFO - Epoch(val) [3][ 880/6282] eta: 0:06:03 time: 0.0620 data_time: 0.0171 memory: 2396 2023/03/10 18:19:24 - mmengine - INFO - Epoch(val) [3][ 900/6282] eta: 0:06:03 time: 0.0751 data_time: 0.0302 memory: 2396 2023/03/10 18:19:25 - mmengine - INFO - Epoch(val) [3][ 920/6282] eta: 0:06:01 time: 0.0632 data_time: 0.0131 memory: 2396 2023/03/10 18:19:26 - mmengine - INFO - Epoch(val) [3][ 940/6282] eta: 0:05:59 time: 0.0606 data_time: 0.0164 memory: 2331 2023/03/10 18:19:28 - mmengine - INFO - Epoch(val) [3][ 960/6282] eta: 0:05:57 time: 0.0611 data_time: 0.0185 memory: 2331 2023/03/10 18:19:29 - mmengine - INFO - Epoch(val) [3][ 980/6282] eta: 0:05:56 time: 0.0656 data_time: 0.0229 memory: 2331 2023/03/10 18:19:30 - mmengine - INFO - Epoch(val) [3][1000/6282] eta: 0:05:53 time: 0.0588 data_time: 0.0162 memory: 2331 2023/03/10 18:19:31 - mmengine - INFO - Epoch(val) [3][1020/6282] eta: 0:05:52 time: 0.0648 data_time: 0.0210 memory: 2396 2023/03/10 18:19:33 - mmengine - INFO - Epoch(val) [3][1040/6282] eta: 0:05:50 time: 0.0589 data_time: 0.0141 memory: 2396 2023/03/10 18:19:34 - mmengine - INFO - Epoch(val) [3][1060/6282] eta: 0:05:49 time: 0.0760 data_time: 0.0296 memory: 2396 2023/03/10 18:19:35 - mmengine - INFO - Epoch(val) [3][1080/6282] eta: 0:05:47 time: 0.0593 data_time: 0.0142 memory: 2396 2023/03/10 18:19:37 - mmengine - INFO - Epoch(val) [3][1100/6282] eta: 0:05:46 time: 0.0649 data_time: 0.0189 memory: 2396 2023/03/10 18:19:38 - mmengine - INFO - Epoch(val) [3][1120/6282] eta: 0:05:45 time: 0.0700 data_time: 0.0170 memory: 2396 2023/03/10 18:19:40 - mmengine - INFO - Epoch(val) [3][1140/6282] eta: 0:05:45 time: 0.0859 data_time: 0.0367 memory: 2396 2023/03/10 18:19:41 - mmengine - INFO - Epoch(val) [3][1160/6282] eta: 0:05:42 time: 0.0516 data_time: 0.0060 memory: 2396 2023/03/10 18:19:42 - mmengine - INFO - Epoch(val) [3][1180/6282] eta: 0:05:39 time: 0.0505 data_time: 0.0034 memory: 2396 2023/03/10 18:19:43 - mmengine - INFO - Epoch(val) [3][1200/6282] eta: 0:05:37 time: 0.0503 data_time: 0.0029 memory: 2396 2023/03/10 18:19:44 - mmengine - INFO - Epoch(val) [3][1220/6282] eta: 0:05:34 time: 0.0543 data_time: 0.0074 memory: 2396 2023/03/10 18:19:46 - mmengine - INFO - Epoch(val) [3][1240/6282] eta: 0:05:35 time: 0.0914 data_time: 0.0306 memory: 2934 2023/03/10 18:19:48 - mmengine - INFO - Epoch(val) [3][1260/6282] eta: 0:05:36 time: 0.0892 data_time: 0.0271 memory: 2934 2023/03/10 18:19:50 - mmengine - INFO - Epoch(val) [3][1280/6282] eta: 0:05:37 time: 0.1072 data_time: 0.0454 memory: 2934 2023/03/10 18:19:51 - mmengine - INFO - Epoch(val) [3][1300/6282] eta: 0:05:38 time: 0.0885 data_time: 0.0266 memory: 2934 2023/03/10 18:19:54 - mmengine - INFO - Epoch(val) [3][1320/6282] eta: 0:05:39 time: 0.1064 data_time: 0.0448 memory: 2934 2023/03/10 18:19:55 - mmengine - INFO - Epoch(val) [3][1340/6282] eta: 0:05:40 time: 0.0922 data_time: 0.0299 memory: 2934 2023/03/10 18:19:57 - mmengine - INFO - Epoch(val) [3][1360/6282] eta: 0:05:41 time: 0.1036 data_time: 0.0409 memory: 2934 2023/03/10 18:19:59 - mmengine - INFO - Epoch(val) [3][1380/6282] eta: 0:05:41 time: 0.0926 data_time: 0.0309 memory: 2934 2023/03/10 18:20:01 - mmengine - INFO - Epoch(val) [3][1400/6282] eta: 0:05:41 time: 0.0864 data_time: 0.0258 memory: 2934 2023/03/10 18:20:03 - mmengine - INFO - Epoch(val) [3][1420/6282] eta: 0:05:41 time: 0.0887 data_time: 0.0290 memory: 2934 2023/03/10 18:20:04 - mmengine - INFO - Epoch(val) [3][1440/6282] eta: 0:05:40 time: 0.0773 data_time: 0.0150 memory: 2934 2023/03/10 18:20:06 - mmengine - INFO - Epoch(val) [3][1460/6282] eta: 0:05:38 time: 0.0639 data_time: 0.0021 memory: 2934 2023/03/10 18:20:07 - mmengine - INFO - Epoch(val) [3][1480/6282] eta: 0:05:36 time: 0.0635 data_time: 0.0025 memory: 2934 2023/03/10 18:20:08 - mmengine - INFO - Epoch(val) [3][1500/6282] eta: 0:05:34 time: 0.0622 data_time: 0.0024 memory: 2934 2023/03/10 18:20:09 - mmengine - INFO - Epoch(val) [3][1520/6282] eta: 0:05:32 time: 0.0631 data_time: 0.0023 memory: 3958 2023/03/10 18:20:11 - mmengine - INFO - Epoch(val) [3][1540/6282] eta: 0:05:32 time: 0.0861 data_time: 0.0026 memory: 3958 2023/03/10 18:20:13 - mmengine - INFO - Epoch(val) [3][1560/6282] eta: 0:05:32 time: 0.0865 data_time: 0.0029 memory: 3958 2023/03/10 18:20:15 - mmengine - INFO - Epoch(val) [3][1580/6282] eta: 0:05:31 time: 0.0857 data_time: 0.0026 memory: 3958 2023/03/10 18:20:16 - mmengine - INFO - Epoch(val) [3][1600/6282] eta: 0:05:31 time: 0.0855 data_time: 0.0024 memory: 3958 2023/03/10 18:20:18 - mmengine - INFO - Epoch(val) [3][1620/6282] eta: 0:05:30 time: 0.0862 data_time: 0.0027 memory: 3958 2023/03/10 18:20:19 - mmengine - INFO - Epoch(val) [3][1640/6282] eta: 0:05:28 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/10 18:20:21 - mmengine - INFO - Epoch(val) [3][1660/6282] eta: 0:05:26 time: 0.0631 data_time: 0.0025 memory: 2934 2023/03/10 18:20:22 - mmengine - INFO - Epoch(val) [3][1680/6282] eta: 0:05:24 time: 0.0638 data_time: 0.0023 memory: 2934 2023/03/10 18:20:23 - mmengine - INFO - Epoch(val) [3][1700/6282] eta: 0:05:23 time: 0.0626 data_time: 0.0023 memory: 2934 2023/03/10 18:20:24 - mmengine - INFO - Epoch(val) [3][1720/6282] eta: 0:05:21 time: 0.0637 data_time: 0.0040 memory: 2934 2023/03/10 18:20:26 - mmengine - INFO - Epoch(val) [3][1740/6282] eta: 0:05:19 time: 0.0626 data_time: 0.0022 memory: 2934 2023/03/10 18:20:27 - mmengine - INFO - Epoch(val) [3][1760/6282] eta: 0:05:17 time: 0.0629 data_time: 0.0022 memory: 2934 2023/03/10 18:20:28 - mmengine - INFO - Epoch(val) [3][1780/6282] eta: 0:05:16 time: 0.0646 data_time: 0.0027 memory: 2934 2023/03/10 18:20:30 - mmengine - INFO - Epoch(val) [3][1800/6282] eta: 0:05:14 time: 0.0652 data_time: 0.0036 memory: 2934 2023/03/10 18:20:31 - mmengine - INFO - Epoch(val) [3][1820/6282] eta: 0:05:12 time: 0.0665 data_time: 0.0039 memory: 2934 2023/03/10 18:20:32 - mmengine - INFO - Epoch(val) [3][1840/6282] eta: 0:05:11 time: 0.0655 data_time: 0.0038 memory: 2934 2023/03/10 18:20:34 - mmengine - INFO - Epoch(val) [3][1860/6282] eta: 0:05:10 time: 0.0916 data_time: 0.0300 memory: 2934 2023/03/10 18:20:36 - mmengine - INFO - Epoch(val) [3][1880/6282] eta: 0:05:10 time: 0.0905 data_time: 0.0291 memory: 2934 2023/03/10 18:20:38 - mmengine - INFO - Epoch(val) [3][1900/6282] eta: 0:05:10 time: 0.0954 data_time: 0.0349 memory: 2934 2023/03/10 18:20:40 - mmengine - INFO - Epoch(val) [3][1920/6282] eta: 0:05:09 time: 0.0901 data_time: 0.0305 memory: 2934 2023/03/10 18:20:41 - mmengine - INFO - Epoch(val) [3][1940/6282] eta: 0:05:08 time: 0.0804 data_time: 0.0246 memory: 2934 2023/03/10 18:20:42 - mmengine - INFO - Epoch(val) [3][1960/6282] eta: 0:05:06 time: 0.0672 data_time: 0.0224 memory: 2397 2023/03/10 18:20:44 - mmengine - INFO - Epoch(val) [3][1980/6282] eta: 0:05:05 time: 0.0642 data_time: 0.0194 memory: 2397 2023/03/10 18:20:45 - mmengine - INFO - Epoch(val) [3][2000/6282] eta: 0:05:03 time: 0.0682 data_time: 0.0234 memory: 2397 2023/03/10 18:20:46 - mmengine - INFO - Epoch(val) [3][2020/6282] eta: 0:05:01 time: 0.0589 data_time: 0.0133 memory: 2397 2023/03/10 18:20:48 - mmengine - INFO - Epoch(val) [3][2040/6282] eta: 0:05:00 time: 0.0688 data_time: 0.0241 memory: 2397 2023/03/10 18:20:49 - mmengine - INFO - Epoch(val) [3][2060/6282] eta: 0:04:58 time: 0.0602 data_time: 0.0152 memory: 2397 2023/03/10 18:20:51 - mmengine - INFO - Epoch(val) [3][2080/6282] eta: 0:04:58 time: 0.1033 data_time: 0.0584 memory: 2397 2023/03/10 18:20:52 - mmengine - INFO - Epoch(val) [3][2100/6282] eta: 0:04:56 time: 0.0593 data_time: 0.0134 memory: 2397 2023/03/10 18:20:54 - mmengine - INFO - Epoch(val) [3][2120/6282] eta: 0:04:54 time: 0.0703 data_time: 0.0230 memory: 2397 2023/03/10 18:20:55 - mmengine - INFO - Epoch(val) [3][2140/6282] eta: 0:04:53 time: 0.0756 data_time: 0.0308 memory: 2397 2023/03/10 18:20:56 - mmengine - INFO - Epoch(val) [3][2160/6282] eta: 0:04:52 time: 0.0676 data_time: 0.0227 memory: 2396 2023/03/10 18:20:58 - mmengine - INFO - Epoch(val) [3][2180/6282] eta: 0:04:50 time: 0.0610 data_time: 0.0145 memory: 2396 2023/03/10 18:20:59 - mmengine - INFO - Epoch(val) [3][2200/6282] eta: 0:04:48 time: 0.0675 data_time: 0.0191 memory: 2396 2023/03/10 18:21:00 - mmengine - INFO - Epoch(val) [3][2220/6282] eta: 0:04:47 time: 0.0604 data_time: 0.0126 memory: 2396 2023/03/10 18:21:01 - mmengine - INFO - Epoch(val) [3][2240/6282] eta: 0:04:45 time: 0.0600 data_time: 0.0135 memory: 2396 2023/03/10 18:21:03 - mmengine - INFO - Epoch(val) [3][2260/6282] eta: 0:04:43 time: 0.0612 data_time: 0.0144 memory: 2397 2023/03/10 18:21:04 - mmengine - INFO - Epoch(val) [3][2280/6282] eta: 0:04:42 time: 0.0697 data_time: 0.0229 memory: 2397 2023/03/10 18:21:05 - mmengine - INFO - Epoch(val) [3][2300/6282] eta: 0:04:40 time: 0.0640 data_time: 0.0141 memory: 2397 2023/03/10 18:21:07 - mmengine - INFO - Epoch(val) [3][2320/6282] eta: 0:04:38 time: 0.0645 data_time: 0.0162 memory: 2397 2023/03/10 18:21:08 - mmengine - INFO - Epoch(val) [3][2340/6282] eta: 0:04:37 time: 0.0618 data_time: 0.0158 memory: 2397 2023/03/10 18:21:09 - mmengine - INFO - Epoch(val) [3][2360/6282] eta: 0:04:35 time: 0.0652 data_time: 0.0184 memory: 2396 2023/03/10 18:21:10 - mmengine - INFO - Epoch(val) [3][2380/6282] eta: 0:04:33 time: 0.0614 data_time: 0.0140 memory: 2396 2023/03/10 18:21:12 - mmengine - INFO - Epoch(val) [3][2400/6282] eta: 0:04:32 time: 0.0582 data_time: 0.0102 memory: 2396 2023/03/10 18:21:13 - mmengine - INFO - Epoch(val) [3][2420/6282] eta: 0:04:30 time: 0.0530 data_time: 0.0047 memory: 2396 2023/03/10 18:21:14 - mmengine - INFO - Epoch(val) [3][2440/6282] eta: 0:04:28 time: 0.0539 data_time: 0.0081 memory: 2396 2023/03/10 18:21:15 - mmengine - INFO - Epoch(val) [3][2460/6282] eta: 0:04:27 time: 0.0775 data_time: 0.0179 memory: 2934 2023/03/10 18:21:17 - mmengine - INFO - Epoch(val) [3][2480/6282] eta: 0:04:25 time: 0.0636 data_time: 0.0030 memory: 2934 2023/03/10 18:21:18 - mmengine - INFO - Epoch(val) [3][2500/6282] eta: 0:04:23 time: 0.0667 data_time: 0.0057 memory: 2934 2023/03/10 18:21:19 - mmengine - INFO - Epoch(val) [3][2520/6282] eta: 0:04:22 time: 0.0648 data_time: 0.0045 memory: 2934 2023/03/10 18:21:21 - mmengine - INFO - Epoch(val) [3][2540/6282] eta: 0:04:21 time: 0.0805 data_time: 0.0175 memory: 2934 2023/03/10 18:21:23 - mmengine - INFO - Epoch(val) [3][2560/6282] eta: 0:04:20 time: 0.0950 data_time: 0.0332 memory: 2934 2023/03/10 18:21:25 - mmengine - INFO - Epoch(val) [3][2580/6282] eta: 0:04:20 time: 0.1070 data_time: 0.0456 memory: 2934 2023/03/10 18:21:27 - mmengine - INFO - Epoch(val) [3][2600/6282] eta: 0:04:19 time: 0.0890 data_time: 0.0277 memory: 2934 2023/03/10 18:21:28 - mmengine - INFO - Epoch(val) [3][2620/6282] eta: 0:04:18 time: 0.0904 data_time: 0.0296 memory: 2934 2023/03/10 18:21:30 - mmengine - INFO - Epoch(val) [3][2640/6282] eta: 0:04:17 time: 0.0677 data_time: 0.0073 memory: 2934 2023/03/10 18:21:31 - mmengine - INFO - Epoch(val) [3][2660/6282] eta: 0:04:16 time: 0.0842 data_time: 0.0023 memory: 3842 2023/03/10 18:21:33 - mmengine - INFO - Epoch(val) [3][2680/6282] eta: 0:04:15 time: 0.0842 data_time: 0.0027 memory: 3842 2023/03/10 18:21:35 - mmengine - INFO - Epoch(val) [3][2700/6282] eta: 0:04:13 time: 0.0842 data_time: 0.0028 memory: 3842 2023/03/10 18:21:36 - mmengine - INFO - Epoch(val) [3][2720/6282] eta: 0:04:12 time: 0.0835 data_time: 0.0024 memory: 3842 2023/03/10 18:21:38 - mmengine - INFO - Epoch(val) [3][2740/6282] eta: 0:04:11 time: 0.0797 data_time: 0.0024 memory: 3842 2023/03/10 18:21:39 - mmengine - INFO - Epoch(val) [3][2760/6282] eta: 0:04:09 time: 0.0492 data_time: 0.0021 memory: 2397 2023/03/10 18:21:40 - mmengine - INFO - Epoch(val) [3][2780/6282] eta: 0:04:07 time: 0.0517 data_time: 0.0066 memory: 2397 2023/03/10 18:21:41 - mmengine - INFO - Epoch(val) [3][2800/6282] eta: 0:04:06 time: 0.0636 data_time: 0.0187 memory: 2397 2023/03/10 18:21:43 - mmengine - INFO - Epoch(val) [3][2820/6282] eta: 0:04:04 time: 0.0656 data_time: 0.0187 memory: 2397 2023/03/10 18:21:44 - mmengine - INFO - Epoch(val) [3][2840/6282] eta: 0:04:02 time: 0.0556 data_time: 0.0090 memory: 2397 2023/03/10 18:21:45 - mmengine - INFO - Epoch(val) [3][2860/6282] eta: 0:04:01 time: 0.0720 data_time: 0.0158 memory: 2934 2023/03/10 18:21:47 - mmengine - INFO - Epoch(val) [3][2880/6282] eta: 0:04:00 time: 0.0664 data_time: 0.0063 memory: 2934 2023/03/10 18:21:48 - mmengine - INFO - Epoch(val) [3][2900/6282] eta: 0:03:58 time: 0.0830 data_time: 0.0193 memory: 2934 2023/03/10 18:21:49 - mmengine - INFO - Epoch(val) [3][2920/6282] eta: 0:03:57 time: 0.0596 data_time: 0.0078 memory: 2934 2023/03/10 18:21:51 - mmengine - INFO - Epoch(val) [3][2940/6282] eta: 0:03:55 time: 0.0613 data_time: 0.0107 memory: 2609 2023/03/10 18:21:52 - mmengine - INFO - Epoch(val) [3][2960/6282] eta: 0:03:54 time: 0.0636 data_time: 0.0145 memory: 2609 2023/03/10 18:21:53 - mmengine - INFO - Epoch(val) [3][2980/6282] eta: 0:03:52 time: 0.0686 data_time: 0.0154 memory: 2609 2023/03/10 18:21:55 - mmengine - INFO - Epoch(val) [3][3000/6282] eta: 0:03:51 time: 0.0751 data_time: 0.0238 memory: 2609 2023/03/10 18:21:56 - mmengine - INFO - Epoch(val) [3][3020/6282] eta: 0:03:49 time: 0.0734 data_time: 0.0118 memory: 2934 2023/03/10 18:21:58 - mmengine - INFO - Epoch(val) [3][3040/6282] eta: 0:03:48 time: 0.0673 data_time: 0.0078 memory: 2934 2023/03/10 18:21:59 - mmengine - INFO - Epoch(val) [3][3060/6282] eta: 0:03:47 time: 0.0701 data_time: 0.0087 memory: 2934 2023/03/10 18:22:00 - mmengine - INFO - Epoch(val) [3][3080/6282] eta: 0:03:45 time: 0.0629 data_time: 0.0020 memory: 2934 2023/03/10 18:22:01 - mmengine - INFO - Epoch(val) [3][3100/6282] eta: 0:03:43 time: 0.0583 data_time: 0.0044 memory: 2934 2023/03/10 18:22:03 - mmengine - INFO - Epoch(val) [3][3120/6282] eta: 0:03:42 time: 0.0622 data_time: 0.0152 memory: 2397 2023/03/10 18:22:04 - mmengine - INFO - Epoch(val) [3][3140/6282] eta: 0:03:40 time: 0.0753 data_time: 0.0274 memory: 2397 2023/03/10 18:22:05 - mmengine - INFO - Epoch(val) [3][3160/6282] eta: 0:03:39 time: 0.0592 data_time: 0.0142 memory: 2397 2023/03/10 18:22:07 - mmengine - INFO - Epoch(val) [3][3180/6282] eta: 0:03:37 time: 0.0576 data_time: 0.0097 memory: 2397 2023/03/10 18:22:08 - mmengine - INFO - Epoch(val) [3][3200/6282] eta: 0:03:36 time: 0.0620 data_time: 0.0061 memory: 2934 2023/03/10 18:22:10 - mmengine - INFO - Epoch(val) [3][3220/6282] eta: 0:03:35 time: 0.0999 data_time: 0.0154 memory: 2934 2023/03/10 18:22:11 - mmengine - INFO - Epoch(val) [3][3240/6282] eta: 0:03:33 time: 0.0695 data_time: 0.0047 memory: 2934 2023/03/10 18:22:13 - mmengine - INFO - Epoch(val) [3][3260/6282] eta: 0:03:32 time: 0.0715 data_time: 0.0096 memory: 2934 2023/03/10 18:22:14 - mmengine - INFO - Epoch(val) [3][3280/6282] eta: 0:03:31 time: 0.0678 data_time: 0.0078 memory: 2934 2023/03/10 18:22:15 - mmengine - INFO - Epoch(val) [3][3300/6282] eta: 0:03:29 time: 0.0701 data_time: 0.0087 memory: 2934 2023/03/10 18:22:17 - mmengine - INFO - Epoch(val) [3][3320/6282] eta: 0:03:28 time: 0.0662 data_time: 0.0046 memory: 2934 2023/03/10 18:22:18 - mmengine - INFO - Epoch(val) [3][3340/6282] eta: 0:03:26 time: 0.0665 data_time: 0.0023 memory: 2934 2023/03/10 18:22:19 - mmengine - INFO - Epoch(val) [3][3360/6282] eta: 0:03:25 time: 0.0641 data_time: 0.0020 memory: 2934 2023/03/10 18:22:21 - mmengine - INFO - Epoch(val) [3][3380/6282] eta: 0:03:23 time: 0.0619 data_time: 0.0052 memory: 2934 2023/03/10 18:22:22 - mmengine - INFO - Epoch(val) [3][3400/6282] eta: 0:03:22 time: 0.0587 data_time: 0.0135 memory: 2396 2023/03/10 18:22:23 - mmengine - INFO - Epoch(val) [3][3420/6282] eta: 0:03:20 time: 0.0666 data_time: 0.0203 memory: 2396 2023/03/10 18:22:24 - mmengine - INFO - Epoch(val) [3][3440/6282] eta: 0:03:19 time: 0.0649 data_time: 0.0173 memory: 2396 2023/03/10 18:22:26 - mmengine - INFO 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eta: 0:02:54 time: 0.0656 data_time: 0.0049 memory: 2934 2023/03/10 18:22:48 - mmengine - INFO - Epoch(val) [3][3800/6282] eta: 0:02:52 time: 0.0719 data_time: 0.0113 memory: 2934 2023/03/10 18:22:49 - mmengine - INFO - Epoch(val) [3][3820/6282] eta: 0:02:51 time: 0.0673 data_time: 0.0067 memory: 2934 2023/03/10 18:22:51 - mmengine - INFO - Epoch(val) [3][3840/6282] eta: 0:02:49 time: 0.0643 data_time: 0.0036 memory: 2934 2023/03/10 18:22:52 - mmengine - INFO - Epoch(val) [3][3860/6282] eta: 0:02:48 time: 0.0665 data_time: 0.0047 memory: 2934 2023/03/10 18:22:53 - mmengine - INFO - Epoch(val) [3][3880/6282] eta: 0:02:47 time: 0.0668 data_time: 0.0061 memory: 2934 2023/03/10 18:22:55 - mmengine - INFO - Epoch(val) [3][3900/6282] eta: 0:02:45 time: 0.0695 data_time: 0.0089 memory: 2934 2023/03/10 18:22:56 - mmengine - INFO - Epoch(val) [3][3920/6282] eta: 0:02:44 time: 0.0677 data_time: 0.0051 memory: 2934 2023/03/10 18:22:58 - mmengine - INFO - Epoch(val) [3][3940/6282] eta: 0:02:42 time: 0.0687 data_time: 0.0091 memory: 2934 2023/03/10 18:22:59 - mmengine - INFO - Epoch(val) [3][3960/6282] eta: 0:02:41 time: 0.0655 data_time: 0.0039 memory: 2934 2023/03/10 18:23:00 - mmengine - INFO - Epoch(val) [3][3980/6282] eta: 0:02:40 time: 0.0642 data_time: 0.0027 memory: 2934 2023/03/10 18:23:01 - mmengine - INFO - Epoch(val) [3][4000/6282] eta: 0:02:38 time: 0.0656 data_time: 0.0021 memory: 2934 2023/03/10 18:23:03 - mmengine - INFO - Epoch(val) [3][4020/6282] eta: 0:02:37 time: 0.0638 data_time: 0.0021 memory: 2934 2023/03/10 18:23:04 - mmengine - INFO - Epoch(val) [3][4040/6282] eta: 0:02:35 time: 0.0644 data_time: 0.0019 memory: 3842 2023/03/10 18:23:06 - mmengine - INFO - Epoch(val) [3][4060/6282] eta: 0:02:34 time: 0.0841 data_time: 0.0031 memory: 3842 2023/03/10 18:23:07 - mmengine - INFO - Epoch(val) [3][4080/6282] eta: 0:02:33 time: 0.0834 data_time: 0.0024 memory: 3842 2023/03/10 18:23:09 - mmengine - INFO - Epoch(val) [3][4100/6282] eta: 0:02:31 time: 0.0833 data_time: 0.0024 memory: 3842 2023/03/10 18:23:11 - mmengine - INFO - Epoch(val) [3][4120/6282] eta: 0:02:30 time: 0.0837 data_time: 0.0026 memory: 3842 2023/03/10 18:23:12 - mmengine - INFO - Epoch(val) [3][4140/6282] eta: 0:02:29 time: 0.0694 data_time: 0.0023 memory: 3842 2023/03/10 18:23:13 - mmengine - INFO - Epoch(val) [3][4160/6282] eta: 0:02:27 time: 0.0508 data_time: 0.0021 memory: 2396 2023/03/10 18:23:14 - mmengine - INFO - Epoch(val) [3][4180/6282] eta: 0:02:26 time: 0.0649 data_time: 0.0189 memory: 2396 2023/03/10 18:23:16 - mmengine - INFO - Epoch(val) [3][4200/6282] eta: 0:02:24 time: 0.0718 data_time: 0.0268 memory: 2396 2023/03/10 18:23:17 - mmengine - INFO - Epoch(val) [3][4220/6282] eta: 0:02:23 time: 0.0600 data_time: 0.0150 memory: 2396 2023/03/10 18:23:19 - mmengine - INFO - Epoch(val) [3][4240/6282] eta: 0:02:22 time: 0.0731 data_time: 0.0280 memory: 2396 2023/03/10 18:23:20 - mmengine - INFO - Epoch(val) [3][4260/6282] eta: 0:02:20 time: 0.0623 data_time: 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2934 2023/03/10 18:23:32 - mmengine - INFO - Epoch(val) [3][4440/6282] eta: 0:02:07 time: 0.0643 data_time: 0.0021 memory: 3023 2023/03/10 18:23:33 - mmengine - INFO - Epoch(val) [3][4460/6282] eta: 0:02:06 time: 0.0669 data_time: 0.0022 memory: 3023 2023/03/10 18:23:34 - mmengine - INFO - Epoch(val) [3][4480/6282] eta: 0:02:05 time: 0.0661 data_time: 0.0023 memory: 3023 2023/03/10 18:23:36 - mmengine - INFO - Epoch(val) [3][4500/6282] eta: 0:02:03 time: 0.0646 data_time: 0.0025 memory: 3023 2023/03/10 18:23:37 - mmengine - INFO - Epoch(val) [3][4520/6282] eta: 0:02:02 time: 0.0616 data_time: 0.0020 memory: 3023 2023/03/10 18:23:38 - mmengine - INFO - Epoch(val) [3][4540/6282] eta: 0:02:00 time: 0.0650 data_time: 0.0191 memory: 2464 2023/03/10 18:23:39 - mmengine - INFO - Epoch(val) [3][4560/6282] eta: 0:01:59 time: 0.0595 data_time: 0.0106 memory: 2464 2023/03/10 18:23:41 - mmengine - INFO - Epoch(val) [3][4580/6282] eta: 0:01:57 time: 0.0662 data_time: 0.0178 memory: 2464 2023/03/10 18:23:42 - mmengine - INFO - Epoch(val) [3][4600/6282] eta: 0:01:56 time: 0.0592 data_time: 0.0123 memory: 2464 2023/03/10 18:23:43 - mmengine - INFO - Epoch(val) [3][4620/6282] eta: 0:01:55 time: 0.0664 data_time: 0.0201 memory: 2464 2023/03/10 18:23:45 - mmengine - INFO - Epoch(val) [3][4640/6282] eta: 0:01:53 time: 0.0682 data_time: 0.0057 memory: 3023 2023/03/10 18:23:46 - mmengine - INFO - Epoch(val) [3][4660/6282] eta: 0:01:52 time: 0.0727 data_time: 0.0060 memory: 3023 2023/03/10 18:23:48 - mmengine - INFO - Epoch(val) [3][4680/6282] eta: 0:01:50 time: 0.0751 data_time: 0.0114 memory: 3023 2023/03/10 18:23:49 - mmengine - INFO - Epoch(val) [3][4700/6282] eta: 0:01:49 time: 0.0837 data_time: 0.0209 memory: 3023 2023/03/10 18:23:51 - mmengine - INFO - Epoch(val) [3][4720/6282] eta: 0:01:48 time: 0.0649 data_time: 0.0050 memory: 3023 2023/03/10 18:23:52 - mmengine - INFO - Epoch(val) [3][4740/6282] eta: 0:01:46 time: 0.0662 data_time: 0.0144 memory: 2609 2023/03/10 18:23:53 - mmengine - INFO - Epoch(val) [3][4760/6282] eta: 0:01:45 time: 0.0679 data_time: 0.0131 memory: 2609 2023/03/10 18:23:55 - mmengine - INFO - Epoch(val) [3][4780/6282] eta: 0:01:44 time: 0.0704 data_time: 0.0203 memory: 2609 2023/03/10 18:23:56 - mmengine - INFO - Epoch(val) [3][4800/6282] eta: 0:01:42 time: 0.0581 data_time: 0.0074 memory: 2609 2023/03/10 18:23:57 - mmengine - INFO - Epoch(val) [3][4820/6282] eta: 0:01:41 time: 0.0636 data_time: 0.0113 memory: 2934 2023/03/10 18:23:58 - mmengine - INFO - Epoch(val) [3][4840/6282] eta: 0:01:39 time: 0.0670 data_time: 0.0067 memory: 2934 2023/03/10 18:24:00 - mmengine - INFO - Epoch(val) [3][4860/6282] eta: 0:01:38 time: 0.0651 data_time: 0.0024 memory: 2934 2023/03/10 18:24:01 - mmengine - INFO - Epoch(val) [3][4880/6282] eta: 0:01:36 time: 0.0644 data_time: 0.0023 memory: 2934 2023/03/10 18:24:02 - mmengine - INFO - Epoch(val) [3][4900/6282] eta: 0:01:35 time: 0.0639 data_time: 0.0023 memory: 2934 2023/03/10 18:24:04 - mmengine - INFO - Epoch(val) [3][4920/6282] eta: 0:01:34 time: 0.0683 data_time: 0.0029 memory: 2934 2023/03/10 18:24:05 - mmengine - INFO - Epoch(val) [3][4940/6282] eta: 0:01:32 time: 0.0695 data_time: 0.0079 memory: 2934 2023/03/10 18:24:06 - mmengine - INFO - Epoch(val) [3][4960/6282] eta: 0:01:31 time: 0.0662 data_time: 0.0049 memory: 2934 2023/03/10 18:24:08 - mmengine - INFO - Epoch(val) [3][4980/6282] eta: 0:01:29 time: 0.0645 data_time: 0.0048 memory: 2934 2023/03/10 18:24:09 - mmengine - INFO - Epoch(val) [3][5000/6282] eta: 0:01:28 time: 0.0675 data_time: 0.0062 memory: 2934 2023/03/10 18:24:10 - mmengine - INFO - Epoch(val) [3][5020/6282] eta: 0:01:27 time: 0.0598 data_time: 0.0085 memory: 2934 2023/03/10 18:24:12 - mmengine - INFO - Epoch(val) [3][5040/6282] eta: 0:01:25 time: 0.0665 data_time: 0.0189 memory: 2397 2023/03/10 18:24:13 - mmengine - INFO - Epoch(val) [3][5060/6282] eta: 0:01:24 time: 0.0673 data_time: 0.0185 memory: 2397 2023/03/10 18:24:14 - mmengine - INFO - Epoch(val) 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eta: 0:01:11 time: 0.0713 data_time: 0.0255 memory: 2396 2023/03/10 18:24:26 - mmengine - INFO - Epoch(val) [3][5260/6282] eta: 0:01:10 time: 0.0614 data_time: 0.0165 memory: 2396 2023/03/10 18:24:28 - mmengine - INFO - Epoch(val) [3][5280/6282] eta: 0:01:09 time: 0.0716 data_time: 0.0265 memory: 2396 2023/03/10 18:24:29 - mmengine - INFO - Epoch(val) [3][5300/6282] eta: 0:01:07 time: 0.0612 data_time: 0.0164 memory: 2396 2023/03/10 18:24:30 - mmengine - INFO - Epoch(val) [3][5320/6282] eta: 0:01:06 time: 0.0653 data_time: 0.0204 memory: 2396 2023/03/10 18:24:31 - mmengine - INFO - Epoch(val) [3][5340/6282] eta: 0:01:04 time: 0.0604 data_time: 0.0158 memory: 2396 2023/03/10 18:24:33 - mmengine - INFO - Epoch(val) [3][5360/6282] eta: 0:01:03 time: 0.0719 data_time: 0.0271 memory: 2396 2023/03/10 18:24:34 - mmengine - INFO - Epoch(val) [3][5380/6282] eta: 0:01:02 time: 0.0598 data_time: 0.0136 memory: 2396 2023/03/10 18:24:35 - mmengine - INFO - Epoch(val) [3][5400/6282] eta: 0:01:00 time: 0.0633 data_time: 0.0145 memory: 2396 2023/03/10 18:24:36 - mmengine - INFO - Epoch(val) [3][5420/6282] eta: 0:00:59 time: 0.0603 data_time: 0.0108 memory: 2396 2023/03/10 18:24:38 - mmengine - INFO - Epoch(val) [3][5440/6282] eta: 0:00:57 time: 0.0724 data_time: 0.0233 memory: 2396 2023/03/10 18:24:39 - mmengine - INFO - Epoch(val) [3][5460/6282] eta: 0:00:56 time: 0.0589 data_time: 0.0140 memory: 2396 2023/03/10 18:24:40 - mmengine - INFO - Epoch(val) [3][5480/6282] eta: 0:00:55 time: 0.0642 data_time: 0.0167 memory: 2396 2023/03/10 18:24:42 - mmengine - INFO - Epoch(val) [3][5500/6282] eta: 0:00:53 time: 0.0575 data_time: 0.0119 memory: 2396 2023/03/10 18:24:43 - mmengine - INFO - Epoch(val) [3][5520/6282] eta: 0:00:52 time: 0.0684 data_time: 0.0201 memory: 2608 2023/03/10 18:24:44 - mmengine - INFO - Epoch(val) [3][5540/6282] eta: 0:00:50 time: 0.0620 data_time: 0.0102 memory: 2608 2023/03/10 18:24:45 - mmengine - INFO - Epoch(val) [3][5560/6282] eta: 0:00:49 time: 0.0663 data_time: 0.0154 memory: 2608 2023/03/10 18:24:47 - mmengine - INFO - Epoch(val) [3][5580/6282] eta: 0:00:48 time: 0.0606 data_time: 0.0087 memory: 2608 2023/03/10 18:24:48 - mmengine - INFO - Epoch(val) [3][5600/6282] eta: 0:00:46 time: 0.0657 data_time: 0.0167 memory: 2608 2023/03/10 18:24:49 - mmengine - INFO - Epoch(val) [3][5620/6282] eta: 0:00:45 time: 0.0577 data_time: 0.0096 memory: 2608 2023/03/10 18:24:50 - mmengine - INFO - Epoch(val) [3][5640/6282] eta: 0:00:44 time: 0.0607 data_time: 0.0159 memory: 2396 2023/03/10 18:24:52 - mmengine - INFO - Epoch(val) [3][5660/6282] eta: 0:00:42 time: 0.0590 data_time: 0.0142 memory: 2396 2023/03/10 18:24:53 - mmengine - INFO - Epoch(val) [3][5680/6282] eta: 0:00:41 time: 0.0680 data_time: 0.0218 memory: 2396 2023/03/10 18:24:54 - mmengine - INFO - Epoch(val) [3][5700/6282] eta: 0:00:39 time: 0.0595 data_time: 0.0135 memory: 2396 2023/03/10 18:24:56 - mmengine - INFO - Epoch(val) [3][5720/6282] eta: 0:00:38 time: 0.0792 data_time: 0.0299 memory: 2686 2023/03/10 18:24:57 - mmengine - INFO - Epoch(val) [3][5740/6282] eta: 0:00:37 time: 0.0640 data_time: 0.0113 memory: 2686 2023/03/10 18:24:58 - mmengine - INFO - Epoch(val) [3][5760/6282] eta: 0:00:35 time: 0.0666 data_time: 0.0121 memory: 2686 2023/03/10 18:25:00 - mmengine - INFO - Epoch(val) [3][5780/6282] eta: 0:00:34 time: 0.0652 data_time: 0.0094 memory: 2686 2023/03/10 18:25:01 - mmengine - INFO - Epoch(val) [3][5800/6282] eta: 0:00:33 time: 0.0653 data_time: 0.0124 memory: 2686 2023/03/10 18:25:03 - mmengine - INFO - Epoch(val) [3][5820/6282] eta: 0:00:31 time: 0.1109 data_time: 0.0600 memory: 2686 2023/03/10 18:25:04 - mmengine - INFO - Epoch(val) [3][5840/6282] eta: 0:00:30 time: 0.0674 data_time: 0.0179 memory: 2608 2023/03/10 18:25:06 - mmengine - INFO - Epoch(val) [3][5860/6282] eta: 0:00:28 time: 0.0643 data_time: 0.0149 memory: 2608 2023/03/10 18:25:07 - mmengine - INFO - Epoch(val) [3][5880/6282] eta: 0:00:27 time: 0.0608 data_time: 0.0116 memory: 2608 2023/03/10 18:25:08 - mmengine - INFO - Epoch(val) [3][5900/6282] eta: 0:00:26 time: 0.0664 data_time: 0.0152 memory: 2608 2023/03/10 18:25:10 - mmengine - INFO - Epoch(val) [3][5920/6282] eta: 0:00:24 time: 0.0601 data_time: 0.0107 memory: 2608 2023/03/10 18:25:11 - mmengine - INFO - Epoch(val) [3][5940/6282] eta: 0:00:23 time: 0.0644 data_time: 0.0198 memory: 2396 2023/03/10 18:25:12 - mmengine - INFO - Epoch(val) [3][5960/6282] eta: 0:00:22 time: 0.0606 data_time: 0.0141 memory: 2396 2023/03/10 18:25:13 - mmengine - INFO - Epoch(val) [3][5980/6282] eta: 0:00:20 time: 0.0692 data_time: 0.0217 memory: 2396 2023/03/10 18:25:15 - mmengine - INFO - Epoch(val) [3][6000/6282] eta: 0:00:19 time: 0.0689 data_time: 0.0113 memory: 2934 2023/03/10 18:25:16 - mmengine - INFO - Epoch(val) [3][6020/6282] eta: 0:00:17 time: 0.0643 data_time: 0.0032 memory: 2934 2023/03/10 18:25:17 - mmengine - INFO - Epoch(val) [3][6040/6282] eta: 0:00:16 time: 0.0639 data_time: 0.0023 memory: 2934 2023/03/10 18:25:19 - mmengine - INFO - Epoch(val) [3][6060/6282] eta: 0:00:15 time: 0.0639 data_time: 0.0025 memory: 2934 2023/03/10 18:25:20 - mmengine - INFO - Epoch(val) [3][6080/6282] eta: 0:00:13 time: 0.0671 data_time: 0.0029 memory: 2934 2023/03/10 18:25:21 - mmengine - INFO - Epoch(val) [3][6100/6282] eta: 0:00:12 time: 0.0641 data_time: 0.0032 memory: 2934 2023/03/10 18:25:23 - mmengine - INFO - Epoch(val) [3][6120/6282] eta: 0:00:11 time: 0.0641 data_time: 0.0029 memory: 2934 2023/03/10 18:25:24 - mmengine - INFO - Epoch(val) [3][6140/6282] eta: 0:00:09 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/10 18:25:25 - mmengine - INFO - Epoch(val) [3][6160/6282] eta: 0:00:08 time: 0.0676 data_time: 0.0078 memory: 2934 2023/03/10 18:25:27 - mmengine - INFO - Epoch(val) [3][6180/6282] eta: 0:00:06 time: 0.0714 data_time: 0.0120 memory: 2934 2023/03/10 18:25:28 - mmengine - INFO - Epoch(val) [3][6200/6282] eta: 0:00:05 time: 0.0658 data_time: 0.0045 memory: 2934 2023/03/10 18:25:29 - mmengine - INFO - Epoch(val) [3][6220/6282] eta: 0:00:04 time: 0.0627 data_time: 0.0021 memory: 2934 2023/03/10 18:25:30 - mmengine - INFO - Epoch(val) [3][6240/6282] eta: 0:00:02 time: 0.0635 data_time: 0.0021 memory: 2934 2023/03/10 18:25:32 - mmengine - INFO - Epoch(val) [3][6260/6282] eta: 0:00:01 time: 0.0611 data_time: 0.0020 memory: 2934 2023/03/10 18:25:33 - mmengine - INFO - Epoch(val) [3][6280/6282] eta: 0:00:00 time: 0.0605 data_time: 0.0017 memory: 2934 2023/03/10 18:30:08 - mmengine - INFO - Epoch(val) [3][6282/6282] mAP/mAP@0.5IOU: 0.2953 2023/03/10 18:30:08 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_2.pth is removed 2023/03/10 18:30:11 - mmengine - INFO - The best checkpoint with 0.2953 mAP/mAP@0.5IOU at 3 epoch is saved to best_mAP/mAP@0.5IOU_epoch_3.pth. 2023/03/10 18:30:29 - mmengine - INFO - Epoch(train) [4][ 20/4451] lr: 1.9029e-06 eta: 14:43:49 time: 0.9192 data_time: 0.4983 memory: 51970 grad_norm: 0.1445 loss: 0.0749 recall@thr=0.5: 0.5531 prec@thr=0.5: 0.7083 recall@top3: 0.7094 prec@top3: 0.6042 recall@top5: 0.8885 prec@top5: 0.4750 loss_action_cls: 0.0749 2023/03/10 18:30:43 - mmengine - INFO - Epoch(train) [4][ 40/4451] lr: 1.9053e-06 eta: 14:43:32 time: 0.6733 data_time: 0.2516 memory: 51970 grad_norm: 0.1455 loss: 0.0671 recall@thr=0.5: 0.5317 prec@thr=0.5: 0.5476 recall@top3: 0.6746 prec@top3: 0.5397 recall@top5: 0.8889 prec@top5: 0.4190 loss_action_cls: 0.0671 2023/03/10 18:30:57 - mmengine - INFO - Epoch(train) [4][ 60/4451] lr: 1.9077e-06 eta: 14:43:21 time: 0.7318 data_time: 0.3098 memory: 51970 grad_norm: 0.1530 loss: 0.0681 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6574 recall@top3: 0.7500 prec@top3: 0.6111 recall@top5: 0.9398 prec@top5: 0.4556 loss_action_cls: 0.0681 2023/03/10 18:31:10 - mmengine - INFO - Epoch(train) [4][ 80/4451] lr: 1.9101e-06 eta: 14:42:58 time: 0.6171 data_time: 0.1944 memory: 51970 grad_norm: 0.1505 loss: 0.0715 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.4375 recall@top3: 0.7292 prec@top3: 0.4792 recall@top5: 0.9375 prec@top5: 0.3500 loss_action_cls: 0.0715 2023/03/10 18:31:25 - mmengine - INFO - Epoch(train) [4][ 100/4451] lr: 1.9125e-06 eta: 14:42:50 time: 0.7599 data_time: 0.3344 memory: 51970 grad_norm: 0.1513 loss: 0.0726 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7462 recall@top3: 0.7955 prec@top3: 0.6515 recall@top5: 0.9091 prec@top5: 0.4727 loss_action_cls: 0.0726 2023/03/10 18:31:37 - mmengine - INFO - Epoch(train) [4][ 120/4451] lr: 1.9149e-06 eta: 14:42:26 time: 0.6051 data_time: 0.1766 memory: 51970 grad_norm: 0.1527 loss: 0.0646 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8333 recall@top3: 0.8159 prec@top3: 0.6032 recall@top5: 0.8825 prec@top5: 0.4095 loss_action_cls: 0.0646 2023/03/10 18:31:51 - mmengine - INFO - Epoch(train) [4][ 140/4451] lr: 1.9173e-06 eta: 14:42:12 time: 0.7054 data_time: 0.2810 memory: 51970 grad_norm: 0.1582 loss: 0.0745 recall@thr=0.5: 0.6488 prec@thr=0.5: 0.7143 recall@top3: 0.7351 prec@top3: 0.6310 recall@top5: 0.9464 prec@top5: 0.5071 loss_action_cls: 0.0745 2023/03/10 18:32:06 - mmengine - INFO - Epoch(train) [4][ 160/4451] lr: 1.9197e-06 eta: 14:42:03 time: 0.7494 data_time: 0.0601 memory: 51970 grad_norm: 0.1422 loss: 0.0627 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.7174 recall@top3: 0.7174 prec@top3: 0.6232 recall@top5: 0.9130 prec@top5: 0.4783 loss_action_cls: 0.0627 2023/03/10 18:32:20 - mmengine - INFO - Epoch(train) [4][ 180/4451] lr: 1.9222e-06 eta: 14:41:48 time: 0.6919 data_time: 0.0132 memory: 51970 grad_norm: 0.1510 loss: 0.0866 recall@thr=0.5: 0.5568 prec@thr=0.5: 0.6045 recall@top3: 0.7083 prec@top3: 0.5455 recall@top5: 0.8712 prec@top5: 0.4182 loss_action_cls: 0.0866 2023/03/10 18:32:34 - mmengine - INFO - Epoch(train) [4][ 200/4451] lr: 1.9246e-06 eta: 14:41:38 time: 0.7344 data_time: 0.0110 memory: 51970 grad_norm: 0.1453 loss: 0.0680 recall@thr=0.5: 0.3478 prec@thr=0.5: 0.4058 recall@top3: 0.6957 prec@top3: 0.4928 recall@top5: 0.7681 prec@top5: 0.3304 loss_action_cls: 0.0680 2023/03/10 18:32:48 - mmengine - INFO - Epoch(train) [4][ 220/4451] lr: 1.9270e-06 eta: 14:41:22 time: 0.6785 data_time: 0.0501 memory: 51970 grad_norm: 0.1445 loss: 0.0679 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.5417 recall@top3: 0.7500 prec@top3: 0.5556 recall@top5: 0.7917 prec@top5: 0.3500 loss_action_cls: 0.0679 2023/03/10 18:33:02 - mmengine - INFO - Epoch(train) [4][ 240/4451] lr: 1.9294e-06 eta: 14:41:09 time: 0.7165 data_time: 0.0552 memory: 51970 grad_norm: 0.1596 loss: 0.0688 recall@thr=0.5: 0.5324 prec@thr=0.5: 0.6111 recall@top3: 0.6528 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0688 2023/03/10 18:33:17 - mmengine - INFO - Epoch(train) [4][ 260/4451] lr: 1.9318e-06 eta: 14:40:56 time: 0.7076 data_time: 0.1690 memory: 51970 grad_norm: 0.1487 loss: 0.0708 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7407 recall@top3: 0.7963 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0708 2023/03/10 18:33:31 - mmengine - INFO - Epoch(train) [4][ 280/4451] lr: 1.9342e-06 eta: 14:40:45 time: 0.7238 data_time: 0.0822 memory: 51970 grad_norm: 0.1420 loss: 0.0694 recall@thr=0.5: 0.6422 prec@thr=0.5: 0.7745 recall@top3: 0.8529 prec@top3: 0.5294 recall@top5: 0.9216 prec@top5: 0.3647 loss_action_cls: 0.0694 2023/03/10 18:33:46 - mmengine - INFO - Epoch(train) [4][ 300/4451] lr: 1.9366e-06 eta: 14:40:36 time: 0.7495 data_time: 0.1994 memory: 51970 grad_norm: 0.1460 loss: 0.0607 recall@thr=0.5: 0.7574 prec@thr=0.5: 0.8603 recall@top3: 0.8015 prec@top3: 0.8039 recall@top5: 0.9118 prec@top5: 0.5529 loss_action_cls: 0.0607 2023/03/10 18:34:00 - mmengine - INFO - Epoch(train) [4][ 320/4451] lr: 1.9390e-06 eta: 14:40:22 time: 0.6996 data_time: 0.1203 memory: 51970 grad_norm: 0.1479 loss: 0.0750 recall@thr=0.5: 0.5655 prec@thr=0.5: 0.6190 recall@top3: 0.7381 prec@top3: 0.6310 recall@top5: 0.9315 prec@top5: 0.4571 loss_action_cls: 0.0750 2023/03/10 18:34:13 - mmengine - INFO - Epoch(train) [4][ 340/4451] lr: 1.9414e-06 eta: 14:40:01 time: 0.6421 data_time: 0.1079 memory: 51970 grad_norm: 0.1380 loss: 0.0676 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.7754 recall@top3: 0.8188 prec@top3: 0.5797 recall@top5: 0.8841 prec@top5: 0.3826 loss_action_cls: 0.0676 2023/03/10 18:34:27 - mmengine - INFO - Epoch(train) [4][ 360/4451] lr: 1.9438e-06 eta: 14:39:49 time: 0.7184 data_time: 0.0501 memory: 51970 grad_norm: 0.1475 loss: 0.0599 recall@thr=0.5: 0.5072 prec@thr=0.5: 0.4819 recall@top3: 0.6884 prec@top3: 0.3623 recall@top5: 0.8986 prec@top5: 0.3043 loss_action_cls: 0.0599 2023/03/10 18:34:42 - mmengine - INFO - Epoch(train) [4][ 380/4451] lr: 1.9462e-06 eta: 14:39:40 time: 0.7437 data_time: 0.1383 memory: 51970 grad_norm: 0.1484 loss: 0.0657 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.5769 recall@top3: 0.7308 prec@top3: 0.4359 recall@top5: 0.8846 prec@top5: 0.3077 loss_action_cls: 0.0657 2023/03/10 18:34:58 - mmengine - INFO - Epoch(train) [4][ 400/4451] lr: 1.9486e-06 eta: 14:39:38 time: 0.8109 data_time: 0.2363 memory: 51970 grad_norm: 0.1399 loss: 0.0643 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.9111 recall@top3: 0.7889 prec@top3: 0.7111 recall@top5: 0.8889 prec@top5: 0.4933 loss_action_cls: 0.0643 2023/03/10 18:35:13 - mmengine - INFO - Epoch(train) [4][ 420/4451] lr: 1.9510e-06 eta: 14:39:28 time: 0.7405 data_time: 0.1969 memory: 51970 grad_norm: 0.1437 loss: 0.0742 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7917 recall@top3: 0.7833 prec@top3: 0.5333 recall@top5: 0.9167 prec@top5: 0.3600 loss_action_cls: 0.0742 2023/03/10 18:35:29 - mmengine - INFO - Epoch(train) [4][ 440/4451] lr: 1.9534e-06 eta: 14:39:24 time: 0.7921 data_time: 0.0424 memory: 51970 grad_norm: 0.1437 loss: 0.0675 recall@thr=0.5: 0.6012 prec@thr=0.5: 0.7143 recall@top3: 0.6310 prec@top3: 0.5238 recall@top5: 0.8333 prec@top5: 0.4286 loss_action_cls: 0.0675 2023/03/10 18:35:42 - mmengine - INFO - Epoch(train) [4][ 460/4451] lr: 1.9558e-06 eta: 14:39:03 time: 0.6381 data_time: 0.0130 memory: 51970 grad_norm: 0.1503 loss: 0.0646 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7500 recall@top3: 0.9583 prec@top3: 0.6296 recall@top5: 0.9861 prec@top5: 0.4000 loss_action_cls: 0.0646 2023/03/10 18:35:56 - mmengine - INFO - Epoch(train) [4][ 480/4451] lr: 1.9582e-06 eta: 14:38:50 time: 0.7144 data_time: 0.0717 memory: 51970 grad_norm: 0.1427 loss: 0.0706 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8194 recall@top3: 0.8472 prec@top3: 0.7361 recall@top5: 0.9583 prec@top5: 0.5250 loss_action_cls: 0.0706 2023/03/10 18:36:11 - mmengine - INFO - Epoch(train) [4][ 500/4451] lr: 1.9606e-06 eta: 14:38:43 time: 0.7648 data_time: 0.0439 memory: 51970 grad_norm: 0.1483 loss: 0.0525 recall@thr=0.5: 0.6613 prec@thr=0.5: 0.6867 recall@top3: 0.7693 prec@top3: 0.6933 recall@top5: 0.9320 prec@top5: 0.5040 loss_action_cls: 0.0525 2023/03/10 18:36:25 - mmengine - INFO - Epoch(train) [4][ 520/4451] lr: 1.9630e-06 eta: 14:38:29 time: 0.6963 data_time: 0.0212 memory: 51970 grad_norm: 0.1489 loss: 0.0863 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.8778 recall@top3: 0.8472 prec@top3: 0.7778 recall@top5: 0.9667 prec@top5: 0.5400 loss_action_cls: 0.0863 2023/03/10 18:36:42 - mmengine - INFO - Epoch(train) [4][ 540/4451] lr: 1.9654e-06 eta: 14:38:27 time: 0.8195 data_time: 0.0134 memory: 51970 grad_norm: 0.1429 loss: 0.0754 recall@thr=0.5: 0.2833 prec@thr=0.5: 0.3250 recall@top3: 0.6333 prec@top3: 0.4333 recall@top5: 0.9250 prec@top5: 0.3800 loss_action_cls: 0.0754 2023/03/10 18:36:54 - mmengine - INFO - Epoch(train) [4][ 560/4451] lr: 1.9678e-06 eta: 14:38:04 time: 0.6190 data_time: 0.0113 memory: 51970 grad_norm: 0.1496 loss: 0.0732 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.7246 recall@top3: 0.7029 prec@top3: 0.5652 recall@top5: 0.9275 prec@top5: 0.4348 loss_action_cls: 0.0732 2023/03/10 18:37:09 - mmengine - INFO - Epoch(train) [4][ 580/4451] lr: 1.9702e-06 eta: 14:37:55 time: 0.7444 data_time: 0.0124 memory: 51970 grad_norm: 0.1452 loss: 0.0710 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.6136 recall@top3: 0.5909 prec@top3: 0.3939 recall@top5: 0.8864 prec@top5: 0.3273 loss_action_cls: 0.0710 2023/03/10 18:37:24 - mmengine - INFO - Epoch(train) [4][ 600/4451] lr: 1.9726e-06 eta: 14:37:48 time: 0.7623 data_time: 0.0138 memory: 51970 grad_norm: 0.1377 loss: 0.0644 recall@thr=0.5: 0.7724 prec@thr=0.5: 0.9712 recall@top3: 0.8173 prec@top3: 0.6538 recall@top5: 0.9423 prec@top5: 0.4692 loss_action_cls: 0.0644 2023/03/10 18:37:36 - mmengine - INFO - Epoch(train) [4][ 620/4451] lr: 1.9750e-06 eta: 14:37:23 time: 0.6039 data_time: 0.0163 memory: 51970 grad_norm: 0.1395 loss: 0.0770 recall@thr=0.5: 0.7782 prec@thr=0.5: 0.7989 recall@top3: 0.8414 prec@top3: 0.7356 recall@top5: 0.9546 prec@top5: 0.5172 loss_action_cls: 0.0770 2023/03/10 18:37:50 - mmengine - INFO - Epoch(train) [4][ 640/4451] lr: 1.9774e-06 eta: 14:37:10 time: 0.7066 data_time: 0.0139 memory: 51970 grad_norm: 0.1452 loss: 0.0660 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6339 recall@top3: 0.6131 prec@top3: 0.5238 recall@top5: 0.8095 prec@top5: 0.4286 loss_action_cls: 0.0660 2023/03/10 18:37:56 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 18:38:04 - mmengine - INFO - Epoch(train) [4][ 660/4451] lr: 1.9798e-06 eta: 14:36:53 time: 0.6818 data_time: 0.0120 memory: 51970 grad_norm: 0.1532 loss: 0.0694 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.5556 recall@top3: 0.5926 prec@top3: 0.3704 recall@top5: 0.8472 prec@top5: 0.3333 loss_action_cls: 0.0694 2023/03/10 18:38:20 - mmengine - INFO - Epoch(train) [4][ 680/4451] lr: 1.9822e-06 eta: 14:36:50 time: 0.7965 data_time: 0.0127 memory: 51970 grad_norm: 0.1431 loss: 0.0739 recall@thr=0.5: 0.3833 prec@thr=0.5: 0.5303 recall@top3: 0.5894 prec@top3: 0.5303 recall@top5: 0.7061 prec@top5: 0.3909 loss_action_cls: 0.0739 2023/03/10 18:38:32 - mmengine - INFO - Epoch(train) [4][ 700/4451] lr: 1.9846e-06 eta: 14:36:26 time: 0.6155 data_time: 0.0118 memory: 51970 grad_norm: 0.1520 loss: 0.0781 recall@thr=0.5: 0.5044 prec@thr=0.5: 0.4912 recall@top3: 0.6842 prec@top3: 0.4912 recall@top5: 0.7368 prec@top5: 0.3263 loss_action_cls: 0.0781 2023/03/10 18:38:46 - mmengine - INFO - Epoch(train) [4][ 720/4451] lr: 1.9870e-06 eta: 14:36:11 time: 0.6901 data_time: 0.0119 memory: 51970 grad_norm: 0.1459 loss: 0.0664 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7933 recall@top3: 0.7733 prec@top3: 0.6267 recall@top5: 0.8900 prec@top5: 0.4400 loss_action_cls: 0.0664 2023/03/10 18:39:01 - mmengine - INFO - Epoch(train) [4][ 740/4451] lr: 1.9894e-06 eta: 14:36:01 time: 0.7371 data_time: 0.0130 memory: 51970 grad_norm: 0.1574 loss: 0.0660 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.7059 recall@top3: 0.6275 prec@top3: 0.5882 recall@top5: 0.8137 prec@top5: 0.4588 loss_action_cls: 0.0660 2023/03/10 18:39:16 - mmengine - INFO - Epoch(train) [4][ 760/4451] lr: 1.9918e-06 eta: 14:35:52 time: 0.7491 data_time: 0.0129 memory: 51970 grad_norm: 0.1520 loss: 0.0693 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7500 recall@top3: 0.8500 prec@top3: 0.5667 recall@top5: 0.8500 prec@top5: 0.3400 loss_action_cls: 0.0693 2023/03/10 18:39:29 - mmengine - INFO - Epoch(train) [4][ 780/4451] lr: 1.9942e-06 eta: 14:35:35 time: 0.6795 data_time: 0.0128 memory: 51970 grad_norm: 0.1474 loss: 0.0649 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7083 recall@top3: 0.7589 prec@top3: 0.5952 recall@top5: 0.8929 prec@top5: 0.4286 loss_action_cls: 0.0649 2023/03/10 18:39:44 - mmengine - INFO - Epoch(train) [4][ 800/4451] lr: 1.9966e-06 eta: 14:35:26 time: 0.7465 data_time: 0.0129 memory: 51970 grad_norm: 0.1486 loss: 0.0699 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7556 recall@top3: 0.7889 prec@top3: 0.6000 recall@top5: 0.9111 prec@top5: 0.4267 loss_action_cls: 0.0699 2023/03/10 18:39:57 - mmengine - INFO - Epoch(train) [4][ 820/4451] lr: 1.9990e-06 eta: 14:35:05 time: 0.6299 data_time: 0.0184 memory: 51970 grad_norm: 0.1442 loss: 0.0693 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7273 recall@top3: 0.8674 prec@top3: 0.6667 recall@top5: 0.9470 prec@top5: 0.4545 loss_action_cls: 0.0693 2023/03/10 18:40:10 - mmengine - INFO - Epoch(train) [4][ 840/4451] lr: 2.0014e-06 eta: 14:34:47 time: 0.6684 data_time: 0.1829 memory: 51970 grad_norm: 0.1400 loss: 0.0612 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.7391 recall@top3: 0.8261 prec@top3: 0.6812 recall@top5: 0.9565 prec@top5: 0.4348 loss_action_cls: 0.0612 2023/03/10 18:40:27 - mmengine - INFO - Epoch(train) [4][ 860/4451] lr: 2.0038e-06 eta: 14:34:45 time: 0.8122 data_time: 0.3155 memory: 51970 grad_norm: 0.1485 loss: 0.0739 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6571 recall@top3: 0.7076 prec@top3: 0.5048 recall@top5: 0.8952 prec@top5: 0.3714 loss_action_cls: 0.0739 2023/03/10 18:40:39 - mmengine - INFO - Epoch(train) [4][ 880/4451] lr: 2.0062e-06 eta: 14:34:24 time: 0.6399 data_time: 0.2120 memory: 51970 grad_norm: 0.1537 loss: 0.0677 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7937 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9206 prec@top5: 0.4190 loss_action_cls: 0.0677 2023/03/10 18:40:53 - mmengine - INFO - Epoch(train) [4][ 900/4451] lr: 2.0086e-06 eta: 14:34:09 time: 0.6926 data_time: 0.2330 memory: 51970 grad_norm: 0.1467 loss: 0.0674 recall@thr=0.5: 0.3512 prec@thr=0.5: 0.4643 recall@top3: 0.6429 prec@top3: 0.5595 recall@top5: 0.8214 prec@top5: 0.4500 loss_action_cls: 0.0674 2023/03/10 18:41:08 - mmengine - INFO - Epoch(train) [4][ 920/4451] lr: 2.0110e-06 eta: 14:34:01 time: 0.7605 data_time: 0.1790 memory: 51970 grad_norm: 0.1486 loss: 0.0743 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.7246 recall@top3: 0.8768 prec@top3: 0.6812 recall@top5: 0.9565 prec@top5: 0.4522 loss_action_cls: 0.0743 2023/03/10 18:41:22 - mmengine - INFO - Epoch(train) [4][ 940/4451] lr: 2.0134e-06 eta: 14:33:44 time: 0.6706 data_time: 0.0422 memory: 51970 grad_norm: 0.1457 loss: 0.0601 recall@thr=0.5: 0.3214 prec@thr=0.5: 0.3571 recall@top3: 0.6071 prec@top3: 0.3810 recall@top5: 0.8929 prec@top5: 0.3429 loss_action_cls: 0.0601 2023/03/10 18:41:37 - mmengine - INFO - Epoch(train) [4][ 960/4451] lr: 2.0158e-06 eta: 14:33:37 time: 0.7650 data_time: 0.0133 memory: 51970 grad_norm: 0.1518 loss: 0.0721 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8958 recall@top3: 0.8333 prec@top3: 0.6250 recall@top5: 0.8750 prec@top5: 0.3917 loss_action_cls: 0.0721 2023/03/10 18:41:51 - mmengine - INFO - Epoch(train) [4][ 980/4451] lr: 2.0182e-06 eta: 14:33:21 time: 0.6810 data_time: 0.0121 memory: 51970 grad_norm: 0.1410 loss: 0.0708 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8437 recall@top3: 0.8958 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0708 2023/03/10 18:42:08 - mmengine - INFO - Epoch(train) [4][1000/4451] lr: 2.0206e-06 eta: 14:33:21 time: 0.8410 data_time: 0.0149 memory: 51970 grad_norm: 0.1426 loss: 0.0668 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9231 recall@top3: 0.8333 prec@top3: 0.7179 recall@top5: 0.9615 prec@top5: 0.5077 loss_action_cls: 0.0668 2023/03/10 18:42:21 - mmengine - INFO - Epoch(train) [4][1020/4451] lr: 2.0230e-06 eta: 14:33:03 time: 0.6650 data_time: 0.1497 memory: 51970 grad_norm: 0.1457 loss: 0.0605 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.7899 recall@top3: 0.7971 prec@top3: 0.7536 recall@top5: 0.9493 prec@top5: 0.5478 loss_action_cls: 0.0605 2023/03/10 18:42:37 - mmengine - INFO - Epoch(train) [4][1040/4451] lr: 2.0254e-06 eta: 14:32:59 time: 0.7962 data_time: 0.3328 memory: 51970 grad_norm: 0.1413 loss: 0.0788 recall@thr=0.5: 0.5747 prec@thr=0.5: 0.5517 recall@top3: 0.7414 prec@top3: 0.4713 recall@top5: 0.8448 prec@top5: 0.3310 loss_action_cls: 0.0788 2023/03/10 18:42:52 - mmengine - INFO - Epoch(train) [4][1060/4451] lr: 2.0278e-06 eta: 14:32:50 time: 0.7508 data_time: 0.3226 memory: 51970 grad_norm: 0.1444 loss: 0.0730 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.7708 recall@top3: 0.7431 prec@top3: 0.6528 recall@top5: 0.8264 prec@top5: 0.4333 loss_action_cls: 0.0730 2023/03/10 18:43:05 - mmengine - INFO - Epoch(train) [4][1080/4451] lr: 2.0302e-06 eta: 14:32:34 time: 0.6791 data_time: 0.2557 memory: 51970 grad_norm: 0.1467 loss: 0.0825 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6607 recall@top3: 0.8571 prec@top3: 0.6667 recall@top5: 0.9643 prec@top5: 0.4714 loss_action_cls: 0.0825 2023/03/10 18:43:20 - mmengine - INFO - Epoch(train) [4][1100/4451] lr: 2.0326e-06 eta: 14:32:22 time: 0.7217 data_time: 0.2932 memory: 51970 grad_norm: 0.1475 loss: 0.0712 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7540 recall@top3: 0.8889 prec@top3: 0.6825 recall@top5: 0.9524 prec@top5: 0.4476 loss_action_cls: 0.0712 2023/03/10 18:43:34 - mmengine - INFO - Epoch(train) [4][1120/4451] lr: 2.0350e-06 eta: 14:32:06 time: 0.6856 data_time: 0.1131 memory: 51970 grad_norm: 0.1522 loss: 0.0562 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6471 recall@top3: 0.7402 prec@top3: 0.6275 recall@top5: 0.8873 prec@top5: 0.4588 loss_action_cls: 0.0562 2023/03/10 18:43:46 - mmengine - INFO - Epoch(train) [4][1140/4451] lr: 2.0374e-06 eta: 14:31:45 time: 0.6407 data_time: 0.0476 memory: 51970 grad_norm: 0.1433 loss: 0.0678 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7063 recall@top3: 0.6825 prec@top3: 0.5873 recall@top5: 0.8254 prec@top5: 0.4286 loss_action_cls: 0.0678 2023/03/10 18:44:00 - mmengine - INFO - Epoch(train) [4][1160/4451] lr: 2.0398e-06 eta: 14:31:32 time: 0.7078 data_time: 0.0724 memory: 51970 grad_norm: 0.1438 loss: 0.0663 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.8639 recall@top3: 0.7722 prec@top3: 0.7889 recall@top5: 0.9378 prec@top5: 0.6000 loss_action_cls: 0.0663 2023/03/10 18:44:16 - mmengine - INFO - Epoch(train) [4][1180/4451] lr: 2.0423e-06 eta: 14:31:24 time: 0.7600 data_time: 0.2953 memory: 51970 grad_norm: 0.1473 loss: 0.0617 recall@thr=0.5: 0.6350 prec@thr=0.5: 0.8750 recall@top3: 0.8017 prec@top3: 0.7167 recall@top5: 0.9550 prec@top5: 0.5300 loss_action_cls: 0.0617 2023/03/10 18:44:30 - mmengine - INFO - Epoch(train) [4][1200/4451] lr: 2.0447e-06 eta: 14:31:09 time: 0.6921 data_time: 0.2608 memory: 51970 grad_norm: 0.1418 loss: 0.0742 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.6250 recall@top3: 0.7833 prec@top3: 0.6000 recall@top5: 0.8875 prec@top5: 0.4200 loss_action_cls: 0.0742 2023/03/10 18:44:44 - mmengine - INFO - Epoch(train) [4][1220/4451] lr: 2.0471e-06 eta: 14:30:57 time: 0.7180 data_time: 0.2630 memory: 51970 grad_norm: 0.1487 loss: 0.0672 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7292 recall@top3: 0.8819 prec@top3: 0.5000 recall@top5: 0.8819 prec@top5: 0.3000 loss_action_cls: 0.0672 2023/03/10 18:44:57 - mmengine - INFO - Epoch(train) [4][1240/4451] lr: 2.0495e-06 eta: 14:30:40 time: 0.6747 data_time: 0.2071 memory: 51970 grad_norm: 0.1451 loss: 0.0809 recall@thr=0.5: 0.3949 prec@thr=0.5: 0.4130 recall@top3: 0.7283 prec@top3: 0.5797 recall@top5: 0.9130 prec@top5: 0.4348 loss_action_cls: 0.0809 2023/03/10 18:45:14 - mmengine - INFO - Epoch(train) [4][1260/4451] lr: 2.0519e-06 eta: 14:30:40 time: 0.8381 data_time: 0.4071 memory: 51970 grad_norm: 0.1486 loss: 0.0641 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.6912 recall@top3: 0.6961 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0641 2023/03/10 18:45:27 - mmengine - INFO - Epoch(train) [4][1280/4451] lr: 2.0543e-06 eta: 14:30:20 time: 0.6461 data_time: 0.2209 memory: 51970 grad_norm: 0.1466 loss: 0.0580 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6422 recall@top3: 0.9118 prec@top3: 0.6863 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0580 2023/03/10 18:45:42 - mmengine - INFO - Epoch(train) [4][1300/4451] lr: 2.0567e-06 eta: 14:30:11 time: 0.7559 data_time: 0.3210 memory: 51970 grad_norm: 0.1485 loss: 0.0677 recall@thr=0.5: 0.4842 prec@thr=0.5: 0.6360 recall@top3: 0.6719 prec@top3: 0.4912 recall@top5: 0.7719 prec@top5: 0.3579 loss_action_cls: 0.0677 2023/03/10 18:45:56 - mmengine - INFO - Epoch(train) [4][1320/4451] lr: 2.0591e-06 eta: 14:29:54 time: 0.6753 data_time: 0.1767 memory: 51970 grad_norm: 0.1443 loss: 0.0618 recall@thr=0.5: 0.6524 prec@thr=0.5: 0.7746 recall@top3: 0.7119 prec@top3: 0.5556 recall@top5: 0.9127 prec@top5: 0.4667 loss_action_cls: 0.0618 2023/03/10 18:46:11 - mmengine - INFO - Epoch(train) [4][1340/4451] lr: 2.0615e-06 eta: 14:29:46 time: 0.7523 data_time: 0.1001 memory: 51970 grad_norm: 0.1523 loss: 0.0784 recall@thr=0.5: 0.2576 prec@thr=0.5: 0.4318 recall@top3: 0.4341 prec@top3: 0.3939 recall@top5: 0.5379 prec@top5: 0.3000 loss_action_cls: 0.0784 2023/03/10 18:46:25 - mmengine - INFO - Epoch(train) [4][1360/4451] lr: 2.0639e-06 eta: 14:29:31 time: 0.7015 data_time: 0.1423 memory: 51970 grad_norm: 0.1397 loss: 0.0630 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.7143 recall@top3: 0.9286 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0630 2023/03/10 18:46:40 - mmengine - INFO - Epoch(train) [4][1380/4451] lr: 2.0663e-06 eta: 14:29:26 time: 0.7835 data_time: 0.0137 memory: 51970 grad_norm: 0.1475 loss: 0.0616 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7470 recall@top3: 0.6758 prec@top3: 0.5909 recall@top5: 0.9182 prec@top5: 0.5000 loss_action_cls: 0.0616 2023/03/10 18:46:53 - mmengine - INFO - Epoch(train) [4][1400/4451] lr: 2.0687e-06 eta: 14:29:02 time: 0.6042 data_time: 0.0112 memory: 51970 grad_norm: 0.1476 loss: 0.0708 recall@thr=0.5: 0.4484 prec@thr=0.5: 0.5488 recall@top3: 0.7447 prec@top3: 0.5285 recall@top5: 0.8455 prec@top5: 0.3659 loss_action_cls: 0.0708 2023/03/10 18:47:08 - mmengine - INFO - Epoch(train) [4][1420/4451] lr: 2.0711e-06 eta: 14:28:56 time: 0.7868 data_time: 0.0138 memory: 51970 grad_norm: 0.1464 loss: 0.0786 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7302 recall@top3: 0.8413 prec@top3: 0.6825 recall@top5: 0.9127 prec@top5: 0.4476 loss_action_cls: 0.0786 2023/03/10 18:47:23 - mmengine - INFO - Epoch(train) [4][1440/4451] lr: 2.0735e-06 eta: 14:28:43 time: 0.7120 data_time: 0.0417 memory: 51970 grad_norm: 0.1591 loss: 0.0682 recall@thr=0.5: 0.3944 prec@thr=0.5: 0.4627 recall@top3: 0.6008 prec@top3: 0.6349 recall@top5: 0.8302 prec@top5: 0.5333 loss_action_cls: 0.0682 2023/03/10 18:47:38 - mmengine - INFO - Epoch(train) [4][1460/4451] lr: 2.0759e-06 eta: 14:28:36 time: 0.7702 data_time: 0.0136 memory: 51970 grad_norm: 0.1469 loss: 0.0676 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.7083 recall@top3: 0.7708 prec@top3: 0.6458 recall@top5: 0.8906 prec@top5: 0.4750 loss_action_cls: 0.0676 2023/03/10 18:47:50 - mmengine - INFO - Epoch(train) [4][1480/4451] lr: 2.0783e-06 eta: 14:28:14 time: 0.6281 data_time: 0.0128 memory: 51970 grad_norm: 0.1404 loss: 0.0678 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6222 recall@top3: 0.7111 prec@top3: 0.5111 recall@top5: 0.8556 prec@top5: 0.3867 loss_action_cls: 0.0678 2023/03/10 18:48:06 - mmengine - INFO - Epoch(train) [4][1500/4451] lr: 2.0807e-06 eta: 14:28:09 time: 0.7897 data_time: 0.0127 memory: 51970 grad_norm: 0.1567 loss: 0.0809 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.6402 recall@top3: 0.7273 prec@top3: 0.5303 recall@top5: 0.8106 prec@top5: 0.3636 loss_action_cls: 0.0809 2023/03/10 18:48:18 - mmengine - INFO - Epoch(train) [4][1520/4451] lr: 2.0831e-06 eta: 14:27:44 time: 0.5911 data_time: 0.0183 memory: 51970 grad_norm: 0.1458 loss: 0.0835 recall@thr=0.5: 0.6061 prec@thr=0.5: 0.8232 recall@top3: 0.8485 prec@top3: 0.7071 recall@top5: 0.9343 prec@top5: 0.4727 loss_action_cls: 0.0835 2023/03/10 18:48:34 - mmengine - INFO - Epoch(train) [4][1540/4451] lr: 2.0855e-06 eta: 14:27:39 time: 0.7930 data_time: 0.0129 memory: 51970 grad_norm: 0.1483 loss: 0.0672 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5463 recall@top3: 0.8333 prec@top3: 0.5000 recall@top5: 0.8889 prec@top5: 0.3222 loss_action_cls: 0.0672 2023/03/10 18:48:47 - mmengine - INFO - Epoch(train) [4][1560/4451] lr: 2.0879e-06 eta: 14:27:21 time: 0.6664 data_time: 0.0128 memory: 51970 grad_norm: 0.1398 loss: 0.0733 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.7400 recall@top3: 0.9267 prec@top3: 0.6133 recall@top5: 0.9900 prec@top5: 0.4080 loss_action_cls: 0.0733 2023/03/10 18:49:04 - mmengine - INFO - Epoch(train) [4][1580/4451] lr: 2.0903e-06 eta: 14:27:22 time: 0.8489 data_time: 0.0129 memory: 51970 grad_norm: 0.1422 loss: 0.0751 recall@thr=0.5: 0.7841 prec@thr=0.5: 0.9091 recall@top3: 0.8371 prec@top3: 0.7727 recall@top5: 0.9167 prec@top5: 0.5273 loss_action_cls: 0.0751 2023/03/10 18:49:17 - mmengine - INFO - Epoch(train) [4][1600/4451] lr: 2.0927e-06 eta: 14:27:02 time: 0.6451 data_time: 0.0126 memory: 51970 grad_norm: 0.1410 loss: 0.0662 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5489 recall@top3: 0.7778 prec@top3: 0.5111 recall@top5: 0.9667 prec@top5: 0.4267 loss_action_cls: 0.0662 2023/03/10 18:49:31 - mmengine - INFO - Epoch(train) [4][1620/4451] lr: 2.0951e-06 eta: 14:26:46 time: 0.6777 data_time: 0.0189 memory: 51970 grad_norm: 0.1572 loss: 0.0648 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8704 recall@top3: 0.9630 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0648 2023/03/10 18:49:47 - mmengine - INFO - Epoch(train) [4][1640/4451] lr: 2.0975e-06 eta: 14:26:40 time: 0.7904 data_time: 0.2844 memory: 51970 grad_norm: 0.1416 loss: 0.0680 recall@thr=0.5: 0.5471 prec@thr=0.5: 0.7826 recall@top3: 0.7391 prec@top3: 0.7391 recall@top5: 0.8841 prec@top5: 0.5391 loss_action_cls: 0.0680 2023/03/10 18:49:53 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 18:50:03 - mmengine - INFO - Epoch(train) [4][1660/4451] lr: 2.0999e-06 eta: 14:26:38 time: 0.8212 data_time: 0.3967 memory: 51970 grad_norm: 0.1478 loss: 0.0611 recall@thr=0.5: 0.6719 prec@thr=0.5: 0.7812 recall@top3: 0.8385 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.3750 loss_action_cls: 0.0611 2023/03/10 18:50:18 - mmengine - INFO - Epoch(train) [4][1680/4451] lr: 2.1023e-06 eta: 14:26:26 time: 0.7284 data_time: 0.2697 memory: 51970 grad_norm: 0.1449 loss: 0.0705 recall@thr=0.5: 0.5038 prec@thr=0.5: 0.5909 recall@top3: 0.6856 prec@top3: 0.5909 recall@top5: 0.9091 prec@top5: 0.5000 loss_action_cls: 0.0705 2023/03/10 18:50:34 - mmengine - INFO - Epoch(train) [4][1700/4451] lr: 2.1047e-06 eta: 14:26:23 time: 0.8080 data_time: 0.3786 memory: 51970 grad_norm: 0.1462 loss: 0.0528 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.8492 recall@top3: 0.8849 prec@top3: 0.7460 recall@top5: 0.9206 prec@top5: 0.4762 loss_action_cls: 0.0528 2023/03/10 18:50:47 - mmengine - INFO - Epoch(train) [4][1720/4451] lr: 2.1071e-06 eta: 14:26:04 time: 0.6521 data_time: 0.1980 memory: 51970 grad_norm: 0.1399 loss: 0.0614 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7841 recall@top3: 0.7976 prec@top3: 0.6667 recall@top5: 0.9286 prec@top5: 0.4857 loss_action_cls: 0.0614 2023/03/10 18:51:03 - mmengine - INFO - Epoch(train) [4][1740/4451] lr: 2.1095e-06 eta: 14:26:00 time: 0.8081 data_time: 0.3544 memory: 51970 grad_norm: 0.1519 loss: 0.0736 recall@thr=0.5: 0.6451 prec@thr=0.5: 0.8039 recall@top3: 0.8686 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.5412 loss_action_cls: 0.0736 2023/03/10 18:51:17 - mmengine - INFO - Epoch(train) [4][1760/4451] lr: 2.1119e-06 eta: 14:25:48 time: 0.7286 data_time: 0.2320 memory: 51970 grad_norm: 0.1397 loss: 0.0571 recall@thr=0.5: 0.7460 prec@thr=0.5: 0.8095 recall@top3: 0.8175 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4286 loss_action_cls: 0.0571 2023/03/10 18:51:33 - mmengine - INFO - Epoch(train) [4][1780/4451] lr: 2.1143e-06 eta: 14:25:40 time: 0.7658 data_time: 0.3324 memory: 51970 grad_norm: 0.1477 loss: 0.0723 recall@thr=0.5: 0.3712 prec@thr=0.5: 0.5530 recall@top3: 0.5795 prec@top3: 0.5000 recall@top5: 0.9167 prec@top5: 0.4818 loss_action_cls: 0.0723 2023/03/10 18:51:47 - mmengine - INFO - Epoch(train) [4][1800/4451] lr: 2.1167e-06 eta: 14:25:28 time: 0.7239 data_time: 0.2438 memory: 51970 grad_norm: 0.1403 loss: 0.0563 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7333 recall@top3: 0.8556 prec@top3: 0.6444 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0563 2023/03/10 18:52:01 - mmengine - INFO - Epoch(train) [4][1820/4451] lr: 2.1191e-06 eta: 14:25:13 time: 0.6883 data_time: 0.1102 memory: 51970 grad_norm: 0.1451 loss: 0.0665 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5702 recall@top3: 0.8333 prec@top3: 0.5789 recall@top5: 0.9649 prec@top5: 0.4105 loss_action_cls: 0.0665 2023/03/10 18:52:15 - mmengine - INFO - Epoch(train) [4][1840/4451] lr: 2.1215e-06 eta: 14:24:58 time: 0.6939 data_time: 0.2109 memory: 51970 grad_norm: 0.1442 loss: 0.0600 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.6667 recall@top3: 0.7917 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0600 2023/03/10 18:52:31 - mmengine - INFO - Epoch(train) [4][1860/4451] lr: 2.1239e-06 eta: 14:24:52 time: 0.7837 data_time: 0.3587 memory: 51970 grad_norm: 0.1409 loss: 0.0838 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.5833 recall@top3: 0.7727 prec@top3: 0.3636 recall@top5: 0.8182 prec@top5: 0.2273 loss_action_cls: 0.0838 2023/03/10 18:52:45 - mmengine - INFO - Epoch(train) [4][1880/4451] lr: 2.1263e-06 eta: 14:24:41 time: 0.7359 data_time: 0.2929 memory: 51970 grad_norm: 0.1363 loss: 0.0619 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.6032 recall@top5: 0.9365 prec@top5: 0.4190 loss_action_cls: 0.0619 2023/03/10 18:52:59 - mmengine - INFO - Epoch(train) [4][1900/4451] lr: 2.1287e-06 eta: 14:24:23 time: 0.6595 data_time: 0.1892 memory: 51970 grad_norm: 0.1433 loss: 0.0636 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6354 recall@top3: 0.7917 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0636 2023/03/10 18:53:14 - mmengine - INFO - Epoch(train) [4][1920/4451] lr: 2.1311e-06 eta: 14:24:17 time: 0.7901 data_time: 0.2351 memory: 51970 grad_norm: 0.1551 loss: 0.0685 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7870 recall@top3: 0.7130 prec@top3: 0.6481 recall@top5: 0.8704 prec@top5: 0.4889 loss_action_cls: 0.0685 2023/03/10 18:53:32 - mmengine - INFO - Epoch(train) [4][1940/4451] lr: 2.1335e-06 eta: 14:24:19 time: 0.8664 data_time: 0.4387 memory: 51970 grad_norm: 0.1525 loss: 0.0553 recall@thr=0.5: 0.7897 prec@thr=0.5: 0.8810 recall@top3: 0.9286 prec@top3: 0.9048 recall@top5: 1.0000 prec@top5: 0.5905 loss_action_cls: 0.0553 2023/03/10 18:53:45 - mmengine - INFO - Epoch(train) [4][1960/4451] lr: 2.1359e-06 eta: 14:23:59 time: 0.6504 data_time: 0.1947 memory: 51970 grad_norm: 0.1399 loss: 0.0693 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6932 recall@top3: 0.7386 prec@top3: 0.5909 recall@top5: 0.8826 prec@top5: 0.4455 loss_action_cls: 0.0693 2023/03/10 18:54:00 - mmengine - INFO - Epoch(train) [4][1980/4451] lr: 2.1383e-06 eta: 14:23:50 time: 0.7554 data_time: 0.0828 memory: 51970 grad_norm: 0.1414 loss: 0.0641 recall@thr=0.5: 0.4405 prec@thr=0.5: 0.7381 recall@top3: 0.6429 prec@top3: 0.5952 recall@top5: 0.7857 prec@top5: 0.4571 loss_action_cls: 0.0641 2023/03/10 18:54:14 - mmengine - INFO - Epoch(train) [4][2000/4451] lr: 2.1407e-06 eta: 14:23:37 time: 0.7052 data_time: 0.0123 memory: 51970 grad_norm: 0.1399 loss: 0.0666 recall@thr=0.5: 0.5720 prec@thr=0.5: 0.6970 recall@top3: 0.7955 prec@top3: 0.6818 recall@top5: 0.9545 prec@top5: 0.5182 loss_action_cls: 0.0666 2023/03/10 18:54:27 - mmengine - INFO - Epoch(train) [4][2020/4451] lr: 2.1431e-06 eta: 14:23:17 time: 0.6507 data_time: 0.0140 memory: 51970 grad_norm: 0.1477 loss: 0.0638 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8098 recall@top3: 0.7647 prec@top3: 0.7059 recall@top5: 0.9118 prec@top5: 0.4941 loss_action_cls: 0.0638 2023/03/10 18:54:43 - mmengine - INFO - Epoch(train) [4][2040/4451] lr: 2.1455e-06 eta: 14:23:12 time: 0.7973 data_time: 0.0108 memory: 51970 grad_norm: 0.1428 loss: 0.0787 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6190 recall@top3: 0.8175 prec@top3: 0.5238 recall@top5: 0.8968 prec@top5: 0.3524 loss_action_cls: 0.0787 2023/03/10 18:54:57 - mmengine - INFO - Epoch(train) [4][2060/4451] lr: 2.1479e-06 eta: 14:23:00 time: 0.7171 data_time: 0.0126 memory: 51970 grad_norm: 0.1470 loss: 0.0728 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7333 recall@top3: 0.8333 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0728 2023/03/10 18:55:12 - mmengine - INFO - Epoch(train) [4][2080/4451] lr: 2.1503e-06 eta: 14:22:48 time: 0.7284 data_time: 0.0124 memory: 51970 grad_norm: 0.1494 loss: 0.0587 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.6508 recall@top3: 0.7857 prec@top3: 0.6667 recall@top5: 0.9048 prec@top5: 0.4667 loss_action_cls: 0.0587 2023/03/10 18:55:27 - mmengine - INFO - Epoch(train) [4][2100/4451] lr: 2.1527e-06 eta: 14:22:38 time: 0.7478 data_time: 0.0129 memory: 51970 grad_norm: 0.1407 loss: 0.0560 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7135 recall@top3: 0.8542 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0560 2023/03/10 18:55:42 - mmengine - INFO - Epoch(train) [4][2120/4451] lr: 2.1551e-06 eta: 14:22:29 time: 0.7612 data_time: 0.0130 memory: 51970 grad_norm: 0.1416 loss: 0.0766 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8500 recall@top3: 0.8833 prec@top3: 0.7667 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0766 2023/03/10 18:55:56 - mmengine - INFO - Epoch(train) [4][2140/4451] lr: 2.1575e-06 eta: 14:22:14 time: 0.6895 data_time: 0.0123 memory: 51970 grad_norm: 0.1472 loss: 0.0608 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9020 recall@top3: 0.8627 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0608 2023/03/10 18:56:10 - mmengine - INFO - Epoch(train) [4][2160/4451] lr: 2.1599e-06 eta: 14:22:03 time: 0.7374 data_time: 0.0122 memory: 51970 grad_norm: 0.1410 loss: 0.0685 recall@thr=0.5: 0.5088 prec@thr=0.5: 0.4561 recall@top3: 0.7281 prec@top3: 0.4386 recall@top5: 0.8509 prec@top5: 0.3053 loss_action_cls: 0.0685 2023/03/10 18:56:24 - mmengine - INFO - Epoch(train) [4][2180/4451] lr: 2.1623e-06 eta: 14:21:46 time: 0.6709 data_time: 0.0133 memory: 51970 grad_norm: 0.1470 loss: 0.0664 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7105 recall@top3: 0.7105 prec@top3: 0.5965 recall@top5: 0.8816 prec@top5: 0.4632 loss_action_cls: 0.0664 2023/03/10 18:56:40 - mmengine - INFO - Epoch(train) [4][2200/4451] lr: 2.1648e-06 eta: 14:21:41 time: 0.7958 data_time: 0.0126 memory: 51970 grad_norm: 0.1442 loss: 0.0628 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.7000 recall@top3: 0.8600 prec@top3: 0.7067 recall@top5: 0.9067 prec@top5: 0.4480 loss_action_cls: 0.0628 2023/03/10 18:56:54 - mmengine - INFO - Epoch(train) [4][2220/4451] lr: 2.1672e-06 eta: 14:21:28 time: 0.7226 data_time: 0.0221 memory: 51970 grad_norm: 0.1444 loss: 0.0665 recall@thr=0.5: 0.5762 prec@thr=0.5: 0.6605 recall@top3: 0.6929 prec@top3: 0.5333 recall@top5: 0.8814 prec@top5: 0.4171 loss_action_cls: 0.0665 2023/03/10 18:57:10 - mmengine - INFO - Epoch(train) [4][2240/4451] lr: 2.1696e-06 eta: 14:21:23 time: 0.8022 data_time: 0.0124 memory: 51970 grad_norm: 0.1392 loss: 0.0705 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.6282 recall@top3: 0.8462 prec@top3: 0.5128 recall@top5: 0.9359 prec@top5: 0.3538 loss_action_cls: 0.0705 2023/03/10 18:57:24 - mmengine - INFO - Epoch(train) [4][2260/4451] lr: 2.1720e-06 eta: 14:21:10 time: 0.7089 data_time: 0.0135 memory: 51970 grad_norm: 0.1411 loss: 0.0683 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8000 recall@top3: 0.8111 prec@top3: 0.6444 recall@top5: 0.9111 prec@top5: 0.4400 loss_action_cls: 0.0683 2023/03/10 18:57:39 - mmengine - INFO - Epoch(train) [4][2280/4451] lr: 2.1744e-06 eta: 14:21:00 time: 0.7455 data_time: 0.0120 memory: 51970 grad_norm: 0.1483 loss: 0.0657 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.6457 recall@top3: 0.7464 prec@top3: 0.6087 recall@top5: 0.9130 prec@top5: 0.4261 loss_action_cls: 0.0657 2023/03/10 18:57:52 - mmengine - INFO - Epoch(train) [4][2300/4451] lr: 2.1768e-06 eta: 14:20:36 time: 0.6063 data_time: 0.0130 memory: 51970 grad_norm: 0.1426 loss: 0.0561 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.7647 recall@top3: 0.8382 prec@top3: 0.7059 recall@top5: 0.9265 prec@top5: 0.4824 loss_action_cls: 0.0561 2023/03/10 18:58:09 - mmengine - INFO - Epoch(train) [4][2320/4451] lr: 2.1792e-06 eta: 14:20:37 time: 0.8621 data_time: 0.0118 memory: 51970 grad_norm: 0.1435 loss: 0.0640 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6296 recall@top3: 0.6944 prec@top3: 0.5556 recall@top5: 0.8056 prec@top5: 0.3889 loss_action_cls: 0.0640 2023/03/10 18:58:21 - mmengine - INFO - Epoch(train) [4][2340/4451] lr: 2.1816e-06 eta: 14:20:17 time: 0.6337 data_time: 0.0141 memory: 51970 grad_norm: 0.1475 loss: 0.0470 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.8000 recall@top3: 0.7042 prec@top3: 0.5333 recall@top5: 0.8833 prec@top5: 0.4300 loss_action_cls: 0.0470 2023/03/10 18:58:37 - mmengine - INFO - Epoch(train) [4][2360/4451] lr: 2.1840e-06 eta: 14:20:09 time: 0.7741 data_time: 0.0130 memory: 51970 grad_norm: 0.1449 loss: 0.0676 recall@thr=0.5: 0.7741 prec@thr=0.5: 0.8395 recall@top3: 0.8556 prec@top3: 0.7901 recall@top5: 0.9340 prec@top5: 0.5333 loss_action_cls: 0.0676 2023/03/10 18:58:51 - mmengine - INFO - Epoch(train) [4][2380/4451] lr: 2.1864e-06 eta: 14:19:56 time: 0.7145 data_time: 0.0123 memory: 51970 grad_norm: 0.1471 loss: 0.0715 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.7045 recall@top3: 0.7992 prec@top3: 0.6667 recall@top5: 0.9697 prec@top5: 0.5000 loss_action_cls: 0.0715 2023/03/10 18:59:05 - mmengine - INFO - Epoch(train) [4][2400/4451] lr: 2.1888e-06 eta: 14:19:41 time: 0.6995 data_time: 0.0120 memory: 51970 grad_norm: 0.1431 loss: 0.0632 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.8393 recall@top3: 0.7500 prec@top3: 0.5476 recall@top5: 0.8690 prec@top5: 0.3929 loss_action_cls: 0.0632 2023/03/10 18:59:20 - mmengine - INFO - Epoch(train) [4][2420/4451] lr: 2.1912e-06 eta: 14:19:29 time: 0.7217 data_time: 0.0746 memory: 51970 grad_norm: 0.1418 loss: 0.0616 recall@thr=0.5: 0.5377 prec@thr=0.5: 0.6594 recall@top3: 0.7116 prec@top3: 0.6232 recall@top5: 0.9130 prec@top5: 0.5043 loss_action_cls: 0.0616 2023/03/10 18:59:38 - mmengine - INFO - Epoch(train) [4][2440/4451] lr: 2.1936e-06 eta: 14:19:35 time: 0.9217 data_time: 0.0121 memory: 51970 grad_norm: 0.1295 loss: 0.0611 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6458 recall@top3: 0.9583 prec@top3: 0.6875 recall@top5: 0.9583 prec@top5: 0.4125 loss_action_cls: 0.0611 2023/03/10 18:59:51 - mmengine - INFO - Epoch(train) [4][2460/4451] lr: 2.1960e-06 eta: 14:19:17 time: 0.6643 data_time: 0.0121 memory: 51970 grad_norm: 0.1411 loss: 0.0736 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.5294 recall@top3: 0.7157 prec@top3: 0.4314 recall@top5: 0.7451 prec@top5: 0.2824 loss_action_cls: 0.0736 2023/03/10 19:00:05 - mmengine - INFO - Epoch(train) [4][2480/4451] lr: 2.1984e-06 eta: 14:19:03 time: 0.7020 data_time: 0.0141 memory: 51970 grad_norm: 0.1437 loss: 0.0659 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7593 recall@top3: 0.7315 prec@top3: 0.5926 recall@top5: 0.9259 prec@top5: 0.4667 loss_action_cls: 0.0659 2023/03/10 19:00:24 - mmengine - INFO - Epoch(train) [4][2500/4451] lr: 2.2008e-06 eta: 14:19:08 time: 0.9151 data_time: 0.0132 memory: 51970 grad_norm: 0.1484 loss: 0.0682 recall@thr=0.5: 0.4231 prec@thr=0.5: 0.5000 recall@top3: 0.6282 prec@top3: 0.4615 recall@top5: 0.9231 prec@top5: 0.3692 loss_action_cls: 0.0682 2023/03/10 19:00:37 - mmengine - INFO - Epoch(train) [4][2520/4451] lr: 2.2032e-06 eta: 14:18:52 time: 0.6849 data_time: 0.0115 memory: 51970 grad_norm: 0.1511 loss: 0.0681 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.8571 recall@top3: 0.8571 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.5048 loss_action_cls: 0.0681 2023/03/10 19:00:54 - mmengine - INFO - Epoch(train) [4][2540/4451] lr: 2.2056e-06 eta: 14:18:49 time: 0.8160 data_time: 0.0134 memory: 51970 grad_norm: 0.1442 loss: 0.0672 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6500 recall@top3: 0.7750 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4200 loss_action_cls: 0.0672 2023/03/10 19:01:06 - mmengine - INFO - Epoch(train) [4][2560/4451] lr: 2.2080e-06 eta: 14:18:24 time: 0.5946 data_time: 0.0123 memory: 51970 grad_norm: 0.1458 loss: 0.0740 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.7778 recall@top3: 0.7381 prec@top3: 0.5714 recall@top5: 0.8730 prec@top5: 0.4095 loss_action_cls: 0.0740 2023/03/10 19:01:21 - mmengine - INFO - Epoch(train) [4][2580/4451] lr: 2.2104e-06 eta: 14:18:17 time: 0.7771 data_time: 0.0137 memory: 51970 grad_norm: 0.1456 loss: 0.0720 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.5794 recall@top3: 0.8651 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0720 2023/03/10 19:01:33 - mmengine - INFO - Epoch(train) [4][2600/4451] lr: 2.2128e-06 eta: 14:17:55 time: 0.6156 data_time: 0.0122 memory: 51970 grad_norm: 0.1433 loss: 0.0680 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.6833 recall@top3: 0.7833 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.4200 loss_action_cls: 0.0680 2023/03/10 19:01:50 - mmengine - INFO - Epoch(train) [4][2620/4451] lr: 2.2152e-06 eta: 14:17:53 time: 0.8401 data_time: 0.0128 memory: 51970 grad_norm: 0.1385 loss: 0.0795 recall@thr=0.5: 0.5216 prec@thr=0.5: 0.5556 recall@top3: 0.7130 prec@top3: 0.5679 recall@top5: 0.8920 prec@top5: 0.4519 loss_action_cls: 0.0795 2023/03/10 19:02:04 - mmengine - INFO - Epoch(train) [4][2640/4451] lr: 2.2176e-06 eta: 14:17:38 time: 0.6958 data_time: 0.0119 memory: 51970 grad_norm: 0.1413 loss: 0.0642 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.6447 recall@top3: 0.7895 prec@top3: 0.6316 recall@top5: 0.9298 prec@top5: 0.4526 loss_action_cls: 0.0642 2023/03/10 19:02:10 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 19:02:22 - mmengine - INFO - Epoch(train) [4][2660/4451] lr: 2.2200e-06 eta: 14:17:42 time: 0.9008 data_time: 0.0126 memory: 51970 grad_norm: 0.1380 loss: 0.0644 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.9365 recall@top3: 0.9286 prec@top3: 0.8254 recall@top5: 0.9683 prec@top5: 0.5238 loss_action_cls: 0.0644 2023/03/10 19:02:35 - mmengine - INFO - Epoch(train) [4][2680/4451] lr: 2.2224e-06 eta: 14:17:22 time: 0.6362 data_time: 0.0117 memory: 51970 grad_norm: 0.1426 loss: 0.0655 recall@thr=0.5: 0.6433 prec@thr=0.5: 0.7867 recall@top3: 0.7600 prec@top3: 0.7333 recall@top5: 0.8667 prec@top5: 0.5200 loss_action_cls: 0.0655 2023/03/10 19:02:51 - mmengine - INFO - Epoch(train) [4][2700/4451] lr: 2.2248e-06 eta: 14:17:15 time: 0.7832 data_time: 0.0178 memory: 51970 grad_norm: 0.1562 loss: 0.0656 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7941 recall@top3: 0.9706 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0656 2023/03/10 19:03:05 - mmengine - INFO - Epoch(train) [4][2720/4451] lr: 2.2272e-06 eta: 14:17:00 time: 0.6964 data_time: 0.0682 memory: 51970 grad_norm: 0.1464 loss: 0.0696 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7375 recall@top3: 0.8583 prec@top3: 0.6500 recall@top5: 0.9167 prec@top5: 0.4300 loss_action_cls: 0.0696 2023/03/10 19:03:20 - mmengine - INFO - Epoch(train) [4][2740/4451] lr: 2.2296e-06 eta: 14:16:53 time: 0.7882 data_time: 0.0135 memory: 51970 grad_norm: 0.1454 loss: 0.0643 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.9608 recall@top3: 0.8922 prec@top3: 0.7059 recall@top5: 0.9510 prec@top5: 0.4588 loss_action_cls: 0.0643 2023/03/10 19:03:33 - mmengine - INFO - Epoch(train) [4][2760/4451] lr: 2.2320e-06 eta: 14:16:34 time: 0.6456 data_time: 0.0268 memory: 51970 grad_norm: 0.1457 loss: 0.0683 recall@thr=0.5: 0.6952 prec@thr=0.5: 0.8143 recall@top3: 0.8810 prec@top3: 0.7143 recall@top5: 0.9000 prec@top5: 0.4400 loss_action_cls: 0.0683 2023/03/10 19:03:49 - mmengine - INFO - Epoch(train) [4][2780/4451] lr: 2.2344e-06 eta: 14:16:27 time: 0.7869 data_time: 0.0138 memory: 51970 grad_norm: 0.1424 loss: 0.0607 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7250 recall@top3: 0.8250 prec@top3: 0.6500 recall@top5: 0.9250 prec@top5: 0.4500 loss_action_cls: 0.0607 2023/03/10 19:04:02 - mmengine - INFO - Epoch(train) [4][2800/4451] lr: 2.2368e-06 eta: 14:16:08 time: 0.6488 data_time: 0.0117 memory: 51970 grad_norm: 0.1480 loss: 0.0656 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.5909 recall@top3: 0.6811 prec@top3: 0.6212 recall@top5: 0.8015 prec@top5: 0.4545 loss_action_cls: 0.0656 2023/03/10 19:04:19 - mmengine - INFO - Epoch(train) [4][2820/4451] lr: 2.2392e-06 eta: 14:16:06 time: 0.8455 data_time: 0.0699 memory: 51970 grad_norm: 0.1471 loss: 0.0581 recall@thr=0.5: 0.4449 prec@thr=0.5: 0.6957 recall@top3: 0.7290 prec@top3: 0.6087 recall@top5: 0.9246 prec@top5: 0.4609 loss_action_cls: 0.0581 2023/03/10 19:04:33 - mmengine - INFO - Epoch(train) [4][2840/4451] lr: 2.2416e-06 eta: 14:15:51 time: 0.6880 data_time: 0.0687 memory: 51970 grad_norm: 0.1427 loss: 0.0661 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8070 recall@top3: 0.7807 prec@top3: 0.5789 recall@top5: 0.9123 prec@top5: 0.3895 loss_action_cls: 0.0661 2023/03/10 19:04:49 - mmengine - INFO - Epoch(train) [4][2860/4451] lr: 2.2440e-06 eta: 14:15:46 time: 0.8105 data_time: 0.0134 memory: 51970 grad_norm: 0.1407 loss: 0.0579 recall@thr=0.5: 0.6215 prec@thr=0.5: 0.6528 recall@top3: 0.8125 prec@top3: 0.6111 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0579 2023/03/10 19:05:01 - mmengine - INFO - Epoch(train) [4][2880/4451] lr: 2.2464e-06 eta: 14:15:22 time: 0.5959 data_time: 0.0112 memory: 51970 grad_norm: 0.1478 loss: 0.0677 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.7225 recall@top3: 0.7050 prec@top3: 0.6333 recall@top5: 0.9150 prec@top5: 0.5200 loss_action_cls: 0.0677 2023/03/10 19:05:17 - mmengine - INFO - Epoch(train) [4][2900/4451] lr: 2.2488e-06 eta: 14:15:16 time: 0.7903 data_time: 0.0138 memory: 51970 grad_norm: 0.1364 loss: 0.0644 recall@thr=0.5: 0.4091 prec@thr=0.5: 0.4962 recall@top3: 0.6288 prec@top3: 0.4697 recall@top5: 0.7841 prec@top5: 0.3636 loss_action_cls: 0.0644 2023/03/10 19:05:31 - mmengine - INFO - Epoch(train) [4][2920/4451] lr: 2.2512e-06 eta: 14:15:03 time: 0.7165 data_time: 0.0121 memory: 51970 grad_norm: 0.1439 loss: 0.0575 recall@thr=0.5: 0.7473 prec@thr=0.5: 0.7312 recall@top3: 0.9328 prec@top3: 0.6237 recall@top5: 1.0000 prec@top5: 0.4129 loss_action_cls: 0.0575 2023/03/10 19:05:45 - mmengine - INFO - Epoch(train) [4][2940/4451] lr: 2.2536e-06 eta: 14:14:51 time: 0.7305 data_time: 0.0124 memory: 51970 grad_norm: 0.1437 loss: 0.0596 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.8651 recall@top3: 0.7143 prec@top3: 0.6190 recall@top5: 0.9206 prec@top5: 0.4762 loss_action_cls: 0.0596 2023/03/10 19:05:58 - mmengine - INFO - Epoch(train) [4][2960/4451] lr: 2.2560e-06 eta: 14:14:29 time: 0.6213 data_time: 0.0121 memory: 51970 grad_norm: 0.1435 loss: 0.0645 recall@thr=0.5: 0.7798 prec@thr=0.5: 0.7827 recall@top3: 0.7708 prec@top3: 0.7262 recall@top5: 0.8869 prec@top5: 0.5286 loss_action_cls: 0.0645 2023/03/10 19:06:12 - mmengine - INFO - Epoch(train) [4][2980/4451] lr: 2.2584e-06 eta: 14:14:15 time: 0.7067 data_time: 0.0132 memory: 51970 grad_norm: 0.1430 loss: 0.0565 recall@thr=0.5: 0.5615 prec@thr=0.5: 0.7179 recall@top3: 0.7058 prec@top3: 0.6923 recall@top5: 0.9006 prec@top5: 0.5077 loss_action_cls: 0.0565 2023/03/10 19:06:26 - mmengine - INFO - Epoch(train) [4][3000/4451] lr: 2.2608e-06 eta: 14:13:59 time: 0.6793 data_time: 0.0115 memory: 51970 grad_norm: 0.1570 loss: 0.0565 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.5637 recall@top3: 0.7941 prec@top3: 0.5490 recall@top5: 0.9314 prec@top5: 0.4000 loss_action_cls: 0.0565 2023/03/10 19:06:41 - mmengine - INFO - Epoch(train) [4][3020/4451] lr: 2.2632e-06 eta: 14:13:50 time: 0.7589 data_time: 0.0125 memory: 51970 grad_norm: 0.1418 loss: 0.0547 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7955 recall@top3: 0.8561 prec@top3: 0.6515 recall@top5: 0.9394 prec@top5: 0.4455 loss_action_cls: 0.0547 2023/03/10 19:06:53 - mmengine - INFO - Epoch(train) [4][3040/4451] lr: 2.2656e-06 eta: 14:13:27 time: 0.6048 data_time: 0.0161 memory: 51970 grad_norm: 0.1370 loss: 0.0602 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.7812 recall@top3: 0.7604 prec@top3: 0.6042 recall@top5: 0.9271 prec@top5: 0.4375 loss_action_cls: 0.0602 2023/03/10 19:07:09 - mmengine - INFO - Epoch(train) [4][3060/4451] lr: 2.2680e-06 eta: 14:13:21 time: 0.7985 data_time: 0.0134 memory: 51970 grad_norm: 0.1501 loss: 0.0617 recall@thr=0.5: 0.5568 prec@thr=0.5: 0.7273 recall@top3: 0.6402 prec@top3: 0.5455 recall@top5: 0.8864 prec@top5: 0.4636 loss_action_cls: 0.0617 2023/03/10 19:07:21 - mmengine - INFO - Epoch(train) [4][3080/4451] lr: 2.2704e-06 eta: 14:12:56 time: 0.5905 data_time: 0.0128 memory: 51970 grad_norm: 0.1359 loss: 0.0648 recall@thr=0.5: 0.6914 prec@thr=0.5: 0.6852 recall@top3: 0.9444 prec@top3: 0.5926 recall@top5: 0.9568 prec@top5: 0.3630 loss_action_cls: 0.0648 2023/03/10 19:07:36 - mmengine - INFO - Epoch(train) [4][3100/4451] lr: 2.2728e-06 eta: 14:12:46 time: 0.7469 data_time: 0.0661 memory: 51970 grad_norm: 0.1415 loss: 0.0641 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8333 recall@top3: 0.9444 prec@top3: 0.5185 recall@top5: 0.9722 prec@top5: 0.3222 loss_action_cls: 0.0641 2023/03/10 19:07:49 - mmengine - INFO - Epoch(train) [4][3120/4451] lr: 2.2752e-06 eta: 14:12:28 time: 0.6562 data_time: 0.1306 memory: 51970 grad_norm: 0.1459 loss: 0.0549 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.9167 recall@top3: 0.7778 prec@top3: 0.7037 recall@top5: 0.9028 prec@top5: 0.4889 loss_action_cls: 0.0549 2023/03/10 19:08:03 - mmengine - INFO - Epoch(train) [4][3140/4451] lr: 2.2776e-06 eta: 14:12:14 time: 0.7100 data_time: 0.1869 memory: 51970 grad_norm: 0.1482 loss: 0.0528 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7593 recall@top3: 0.7809 prec@top3: 0.6173 recall@top5: 0.9167 prec@top5: 0.4593 loss_action_cls: 0.0528 2023/03/10 19:08:18 - mmengine - INFO - Epoch(train) [4][3160/4451] lr: 2.2800e-06 eta: 14:12:03 time: 0.7454 data_time: 0.1054 memory: 51970 grad_norm: 0.1448 loss: 0.0642 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.5573 recall@top3: 0.6562 prec@top3: 0.5000 recall@top5: 0.8229 prec@top5: 0.3875 loss_action_cls: 0.0642 2023/03/10 19:08:33 - mmengine - INFO - Epoch(train) [4][3180/4451] lr: 2.2824e-06 eta: 14:11:53 time: 0.7443 data_time: 0.2895 memory: 51970 grad_norm: 0.1484 loss: 0.0547 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.8596 recall@top3: 0.7632 prec@top3: 0.5614 recall@top5: 0.8596 prec@top5: 0.3895 loss_action_cls: 0.0547 2023/03/10 19:08:46 - mmengine - INFO - Epoch(train) [4][3200/4451] lr: 2.2849e-06 eta: 14:11:36 time: 0.6778 data_time: 0.1886 memory: 51970 grad_norm: 0.1466 loss: 0.0650 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.5778 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0650 2023/03/10 19:09:02 - mmengine - INFO - Epoch(train) [4][3220/4451] lr: 2.2873e-06 eta: 14:11:28 time: 0.7708 data_time: 0.2097 memory: 51970 grad_norm: 0.1432 loss: 0.0584 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.6515 recall@top3: 0.8333 prec@top3: 0.5303 recall@top5: 0.9242 prec@top5: 0.3545 loss_action_cls: 0.0584 2023/03/10 19:09:16 - mmengine - INFO - Epoch(train) [4][3240/4451] lr: 2.2897e-06 eta: 14:11:14 time: 0.7030 data_time: 0.2731 memory: 51970 grad_norm: 0.1429 loss: 0.0561 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.8167 recall@top3: 0.7389 prec@top3: 0.6889 recall@top5: 0.9833 prec@top5: 0.5467 loss_action_cls: 0.0561 2023/03/10 19:09:34 - mmengine - INFO - Epoch(train) [4][3260/4451] lr: 2.2921e-06 eta: 14:11:16 time: 0.8944 data_time: 0.4603 memory: 51970 grad_norm: 0.1355 loss: 0.0531 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.7812 recall@top3: 0.9115 prec@top3: 0.7083 recall@top5: 0.9844 prec@top5: 0.4750 loss_action_cls: 0.0531 2023/03/10 19:09:46 - mmengine - INFO - Epoch(train) [4][3280/4451] lr: 2.2945e-06 eta: 14:10:55 time: 0.6223 data_time: 0.1955 memory: 51970 grad_norm: 0.1447 loss: 0.0653 recall@thr=0.5: 0.3991 prec@thr=0.5: 0.5439 recall@top3: 0.6009 prec@top3: 0.4912 recall@top5: 0.8246 prec@top5: 0.4105 loss_action_cls: 0.0653 2023/03/10 19:10:04 - mmengine - INFO - Epoch(train) [4][3300/4451] lr: 2.2969e-06 eta: 14:10:55 time: 0.8703 data_time: 0.4409 memory: 51970 grad_norm: 0.1385 loss: 0.0674 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5417 recall@top3: 0.6542 prec@top3: 0.5667 recall@top5: 0.8917 prec@top5: 0.5100 loss_action_cls: 0.0674 2023/03/10 19:10:18 - mmengine - INFO - Epoch(train) [4][3320/4451] lr: 2.2993e-06 eta: 14:10:43 time: 0.7329 data_time: 0.3072 memory: 51970 grad_norm: 0.1392 loss: 0.0736 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8788 recall@top3: 0.8864 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.5455 loss_action_cls: 0.0736 2023/03/10 19:10:33 - mmengine - INFO - Epoch(train) [4][3340/4451] lr: 2.3017e-06 eta: 14:10:31 time: 0.7245 data_time: 0.3006 memory: 51970 grad_norm: 0.1377 loss: 0.0552 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7255 recall@top3: 0.9118 prec@top3: 0.5882 recall@top5: 0.9314 prec@top5: 0.3647 loss_action_cls: 0.0552 2023/03/10 19:10:45 - mmengine - INFO - Epoch(train) [4][3360/4451] lr: 2.3041e-06 eta: 14:10:08 time: 0.6015 data_time: 0.1775 memory: 51970 grad_norm: 0.1387 loss: 0.0524 recall@thr=0.5: 0.7717 prec@thr=0.5: 0.7464 recall@top3: 0.7246 prec@top3: 0.4783 recall@top5: 0.8913 prec@top5: 0.4000 loss_action_cls: 0.0524 2023/03/10 19:11:00 - mmengine - INFO - Epoch(train) [4][3380/4451] lr: 2.3065e-06 eta: 14:09:57 time: 0.7441 data_time: 0.3105 memory: 51970 grad_norm: 0.1440 loss: 0.0579 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.6892 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4471 loss_action_cls: 0.0579 2023/03/10 19:11:12 - mmengine - INFO - Epoch(train) [4][3400/4451] lr: 2.3089e-06 eta: 14:09:37 time: 0.6383 data_time: 0.2047 memory: 51970 grad_norm: 0.1499 loss: 0.0566 recall@thr=0.5: 0.6763 prec@thr=0.5: 0.7006 recall@top3: 0.7628 prec@top3: 0.6795 recall@top5: 0.8333 prec@top5: 0.4615 loss_action_cls: 0.0566 2023/03/10 19:11:28 - mmengine - INFO - Epoch(train) [4][3420/4451] lr: 2.3113e-06 eta: 14:09:31 time: 0.7948 data_time: 0.3474 memory: 51970 grad_norm: 0.1396 loss: 0.0626 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.6667 recall@top3: 0.8095 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.4095 loss_action_cls: 0.0626 2023/03/10 19:11:42 - mmengine - INFO - Epoch(train) [4][3440/4451] lr: 2.3137e-06 eta: 14:09:13 time: 0.6645 data_time: 0.1975 memory: 51970 grad_norm: 0.1364 loss: 0.0626 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.6310 recall@top3: 0.8175 prec@top3: 0.6349 recall@top5: 0.9683 prec@top5: 0.4762 loss_action_cls: 0.0626 2023/03/10 19:11:57 - mmengine - INFO - Epoch(train) [4][3460/4451] lr: 2.3161e-06 eta: 14:09:05 time: 0.7801 data_time: 0.1099 memory: 51970 grad_norm: 0.1466 loss: 0.0644 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.6970 recall@top3: 0.7765 prec@top3: 0.7121 recall@top5: 0.9015 prec@top5: 0.5182 loss_action_cls: 0.0644 2023/03/10 19:12:11 - mmengine - INFO - Epoch(train) [4][3480/4451] lr: 2.3185e-06 eta: 14:08:50 time: 0.6916 data_time: 0.0125 memory: 51970 grad_norm: 0.1436 loss: 0.0555 recall@thr=0.5: 0.6922 prec@thr=0.5: 0.7647 recall@top3: 0.7471 prec@top3: 0.6078 recall@top5: 0.9167 prec@top5: 0.4588 loss_action_cls: 0.0555 2023/03/10 19:12:27 - mmengine - INFO - Epoch(train) [4][3500/4451] lr: 2.3209e-06 eta: 14:08:43 time: 0.7863 data_time: 0.0130 memory: 51970 grad_norm: 0.1472 loss: 0.0659 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.8627 recall@top3: 0.8137 prec@top3: 0.6471 recall@top5: 0.9078 prec@top5: 0.4706 loss_action_cls: 0.0659 2023/03/10 19:12:40 - mmengine - INFO - Epoch(train) [4][3520/4451] lr: 2.3233e-06 eta: 14:08:25 time: 0.6634 data_time: 0.0123 memory: 51970 grad_norm: 0.1400 loss: 0.0605 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6319 recall@top3: 0.8056 prec@top3: 0.4722 recall@top5: 0.8681 prec@top5: 0.3083 loss_action_cls: 0.0605 2023/03/10 19:12:55 - mmengine - INFO - Epoch(train) [4][3540/4451] lr: 2.3257e-06 eta: 14:08:14 time: 0.7433 data_time: 0.0121 memory: 51970 grad_norm: 0.1381 loss: 0.0664 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.6508 recall@top3: 0.8492 prec@top3: 0.6984 recall@top5: 0.9484 prec@top5: 0.4857 loss_action_cls: 0.0664 2023/03/10 19:13:06 - mmengine - INFO - Epoch(train) [4][3560/4451] lr: 2.3281e-06 eta: 14:07:48 time: 0.5706 data_time: 0.0128 memory: 51970 grad_norm: 0.1468 loss: 0.0589 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7982 recall@top3: 0.8377 prec@top3: 0.7018 recall@top5: 0.9649 prec@top5: 0.5053 loss_action_cls: 0.0589 2023/03/10 19:13:21 - mmengine - INFO - Epoch(train) [4][3580/4451] lr: 2.3305e-06 eta: 14:07:36 time: 0.7273 data_time: 0.0130 memory: 51970 grad_norm: 0.1406 loss: 0.0539 recall@thr=0.5: 0.7552 prec@thr=0.5: 0.8854 recall@top3: 0.8802 prec@top3: 0.8333 recall@top5: 0.9375 prec@top5: 0.5375 loss_action_cls: 0.0539 2023/03/10 19:13:34 - mmengine - INFO - Epoch(train) [4][3600/4451] lr: 2.3329e-06 eta: 14:07:18 time: 0.6622 data_time: 0.0120 memory: 51970 grad_norm: 0.1434 loss: 0.0601 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8202 recall@top3: 0.8816 prec@top3: 0.7895 recall@top5: 0.9868 prec@top5: 0.5474 loss_action_cls: 0.0601 2023/03/10 19:13:48 - mmengine - INFO - Epoch(train) [4][3620/4451] lr: 2.3353e-06 eta: 14:07:02 time: 0.6822 data_time: 0.1377 memory: 51970 grad_norm: 0.1384 loss: 0.0657 recall@thr=0.5: 0.5428 prec@thr=0.5: 0.5856 recall@top3: 0.6757 prec@top3: 0.5045 recall@top5: 0.8851 prec@top5: 0.3946 loss_action_cls: 0.0657 2023/03/10 19:14:02 - mmengine - INFO - Epoch(train) [4][3640/4451] lr: 2.3377e-06 eta: 14:06:50 time: 0.7215 data_time: 0.0949 memory: 51970 grad_norm: 0.1408 loss: 0.0662 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.7632 recall@top3: 0.7456 prec@top3: 0.5263 recall@top5: 0.8465 prec@top5: 0.3684 loss_action_cls: 0.0662 2023/03/10 19:14:07 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 19:14:17 - mmengine - INFO - Epoch(train) [4][3660/4451] lr: 2.3401e-06 eta: 14:06:38 time: 0.7310 data_time: 0.1419 memory: 51970 grad_norm: 0.1465 loss: 0.0586 recall@thr=0.5: 0.7283 prec@thr=0.5: 0.8333 recall@top3: 0.8116 prec@top3: 0.7391 recall@top5: 0.9239 prec@top5: 0.5130 loss_action_cls: 0.0586 2023/03/10 19:14:32 - mmengine - INFO - Epoch(train) [4][3680/4451] lr: 2.3425e-06 eta: 14:06:30 time: 0.7842 data_time: 0.3189 memory: 51970 grad_norm: 0.1476 loss: 0.0562 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7602 recall@top3: 0.8704 prec@top3: 0.6296 recall@top5: 0.9537 prec@top5: 0.4444 loss_action_cls: 0.0562 2023/03/10 19:14:47 - mmengine - INFO - Epoch(train) [4][3700/4451] lr: 2.3449e-06 eta: 14:06:16 time: 0.7052 data_time: 0.1561 memory: 51970 grad_norm: 0.1434 loss: 0.0660 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8542 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0660 2023/03/10 19:15:02 - mmengine - INFO - Epoch(train) [4][3720/4451] lr: 2.3473e-06 eta: 14:06:06 time: 0.7510 data_time: 0.2586 memory: 51970 grad_norm: 0.1467 loss: 0.0720 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6875 recall@top3: 0.7604 prec@top3: 0.5104 recall@top5: 0.8646 prec@top5: 0.3562 loss_action_cls: 0.0720 2023/03/10 19:15:16 - mmengine - INFO - Epoch(train) [4][3740/4451] lr: 2.3497e-06 eta: 14:05:53 time: 0.7260 data_time: 0.1108 memory: 51970 grad_norm: 0.1488 loss: 0.0592 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7708 recall@top3: 0.7292 prec@top3: 0.6000 recall@top5: 0.8833 prec@top5: 0.4600 loss_action_cls: 0.0592 2023/03/10 19:15:32 - mmengine - INFO - Epoch(train) [4][3760/4451] lr: 2.3521e-06 eta: 14:05:47 time: 0.7947 data_time: 0.2912 memory: 51970 grad_norm: 0.1438 loss: 0.0566 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.8095 recall@top3: 0.8095 prec@top3: 0.5952 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0566 2023/03/10 19:15:44 - mmengine - INFO - Epoch(train) [4][3780/4451] lr: 2.3545e-06 eta: 14:05:24 time: 0.6051 data_time: 0.1088 memory: 51970 grad_norm: 0.1539 loss: 0.0654 recall@thr=0.5: 0.4912 prec@thr=0.5: 0.4737 recall@top3: 0.6667 prec@top3: 0.5439 recall@top5: 0.7281 prec@top5: 0.3579 loss_action_cls: 0.0654 2023/03/10 19:15:59 - mmengine - INFO - Epoch(train) [4][3800/4451] lr: 2.3569e-06 eta: 14:05:12 time: 0.7283 data_time: 0.0136 memory: 51970 grad_norm: 0.1457 loss: 0.0556 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.7719 recall@top3: 0.8947 prec@top3: 0.7193 recall@top5: 0.9298 prec@top5: 0.4526 loss_action_cls: 0.0556 2023/03/10 19:16:12 - mmengine - INFO - Epoch(train) [4][3820/4451] lr: 2.3593e-06 eta: 14:04:53 time: 0.6508 data_time: 0.0118 memory: 51970 grad_norm: 0.1403 loss: 0.0662 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.6250 recall@top3: 0.8167 prec@top3: 0.4500 recall@top5: 0.9583 prec@top5: 0.3200 loss_action_cls: 0.0662 2023/03/10 19:16:27 - mmengine - INFO - Epoch(train) [4][3840/4451] lr: 2.3617e-06 eta: 14:04:42 time: 0.7412 data_time: 0.0340 memory: 51970 grad_norm: 0.1465 loss: 0.0614 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8333 recall@top3: 0.8125 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.3625 loss_action_cls: 0.0614 2023/03/10 19:16:41 - mmengine - INFO - Epoch(train) [4][3860/4451] lr: 2.3641e-06 eta: 14:04:29 time: 0.7224 data_time: 0.1020 memory: 51970 grad_norm: 0.1418 loss: 0.0642 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.5530 recall@top3: 0.9167 prec@top3: 0.5758 recall@top5: 1.0000 prec@top5: 0.3727 loss_action_cls: 0.0642 2023/03/10 19:16:55 - mmengine - INFO - Epoch(train) [4][3880/4451] lr: 2.3665e-06 eta: 14:04:16 time: 0.7141 data_time: 0.0697 memory: 51970 grad_norm: 0.1395 loss: 0.0568 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8929 recall@top3: 0.9127 prec@top3: 0.6825 recall@top5: 0.9683 prec@top5: 0.4476 loss_action_cls: 0.0568 2023/03/10 19:17:11 - mmengine - INFO - Epoch(train) [4][3900/4451] lr: 2.3689e-06 eta: 14:04:08 time: 0.7791 data_time: 0.1063 memory: 51970 grad_norm: 0.1409 loss: 0.0595 recall@thr=0.5: 0.7989 prec@thr=0.5: 0.8908 recall@top3: 0.8966 prec@top3: 0.7241 recall@top5: 0.9540 prec@top5: 0.4759 loss_action_cls: 0.0595 2023/03/10 19:17:25 - mmengine - INFO - Epoch(train) [4][3920/4451] lr: 2.3713e-06 eta: 14:03:53 time: 0.6945 data_time: 0.1186 memory: 51970 grad_norm: 0.1407 loss: 0.0626 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8125 recall@top3: 0.9167 prec@top3: 0.6042 recall@top5: 0.9792 prec@top5: 0.3875 loss_action_cls: 0.0626 2023/03/10 19:17:39 - mmengine - INFO - Epoch(train) [4][3940/4451] lr: 2.3737e-06 eta: 14:03:39 time: 0.7040 data_time: 0.2086 memory: 51970 grad_norm: 0.1398 loss: 0.0690 recall@thr=0.5: 0.5889 prec@thr=0.5: 0.7000 recall@top3: 0.7778 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0690 2023/03/10 19:17:54 - mmengine - INFO - Epoch(train) [4][3960/4451] lr: 2.3761e-06 eta: 14:03:30 time: 0.7676 data_time: 0.3339 memory: 51970 grad_norm: 0.1395 loss: 0.0676 recall@thr=0.5: 0.2722 prec@thr=0.5: 0.4889 recall@top3: 0.6444 prec@top3: 0.5333 recall@top5: 0.8333 prec@top5: 0.4000 loss_action_cls: 0.0676 2023/03/10 19:18:07 - mmengine - INFO - Epoch(train) [4][3980/4451] lr: 2.3785e-06 eta: 14:03:11 time: 0.6545 data_time: 0.2239 memory: 51970 grad_norm: 0.1390 loss: 0.0707 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.6471 recall@top3: 0.7843 prec@top3: 0.6275 recall@top5: 0.9020 prec@top5: 0.4353 loss_action_cls: 0.0707 2023/03/10 19:18:23 - mmengine - INFO - Epoch(train) [4][4000/4451] lr: 2.3809e-06 eta: 14:03:06 time: 0.8111 data_time: 0.3561 memory: 51970 grad_norm: 0.1399 loss: 0.0554 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6481 recall@top3: 0.8704 prec@top3: 0.7037 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0554 2023/03/10 19:18:36 - mmengine - INFO - Epoch(train) [4][4020/4451] lr: 2.3833e-06 eta: 14:02:46 time: 0.6409 data_time: 0.1272 memory: 51970 grad_norm: 0.1392 loss: 0.0605 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8437 recall@top3: 0.9062 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0605 2023/03/10 19:18:51 - mmengine - INFO - Epoch(train) [4][4040/4451] lr: 2.3857e-06 eta: 14:02:34 time: 0.7238 data_time: 0.2738 memory: 51970 grad_norm: 0.1442 loss: 0.0617 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8030 recall@top3: 0.8864 prec@top3: 0.5606 recall@top5: 0.9394 prec@top5: 0.3636 loss_action_cls: 0.0617 2023/03/10 19:19:05 - mmengine - INFO - Epoch(train) [4][4060/4451] lr: 2.3881e-06 eta: 14:02:20 time: 0.7121 data_time: 0.1198 memory: 51970 grad_norm: 0.1440 loss: 0.0576 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.5944 recall@top3: 0.6204 prec@top3: 0.5741 recall@top5: 0.8472 prec@top5: 0.4889 loss_action_cls: 0.0576 2023/03/10 19:19:20 - mmengine - INFO - Epoch(train) [4][4080/4451] lr: 2.3905e-06 eta: 14:02:09 time: 0.7364 data_time: 0.0967 memory: 51970 grad_norm: 0.1403 loss: 0.0669 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.8684 recall@top3: 0.7939 prec@top3: 0.4912 recall@top5: 0.9474 prec@top5: 0.3579 loss_action_cls: 0.0669 2023/03/10 19:19:34 - mmengine - INFO - Epoch(train) [4][4100/4451] lr: 2.3929e-06 eta: 14:01:53 time: 0.6892 data_time: 0.0867 memory: 51970 grad_norm: 0.1443 loss: 0.0719 recall@thr=0.5: 0.7992 prec@thr=0.5: 0.8447 recall@top3: 0.9508 prec@top3: 0.5606 recall@top5: 1.0000 prec@top5: 0.3636 loss_action_cls: 0.0719 2023/03/10 19:19:48 - mmengine - INFO - Epoch(train) [4][4120/4451] lr: 2.3953e-06 eta: 14:01:39 time: 0.7001 data_time: 0.1902 memory: 51970 grad_norm: 0.1429 loss: 0.0601 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8646 recall@top3: 0.8115 prec@top3: 0.5625 recall@top5: 0.8271 prec@top5: 0.3500 loss_action_cls: 0.0601 2023/03/10 19:20:02 - mmengine - INFO - Epoch(train) [4][4140/4451] lr: 2.3977e-06 eta: 14:01:28 time: 0.7443 data_time: 0.2001 memory: 51970 grad_norm: 0.1387 loss: 0.0597 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.8030 recall@top3: 0.8030 prec@top3: 0.5455 recall@top5: 0.8636 prec@top5: 0.3545 loss_action_cls: 0.0597 2023/03/10 19:20:15 - mmengine - INFO - Epoch(train) [4][4160/4451] lr: 2.4001e-06 eta: 14:01:08 time: 0.6395 data_time: 0.0845 memory: 51970 grad_norm: 0.1355 loss: 0.0549 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.6905 recall@top3: 0.7857 prec@top3: 0.4762 recall@top5: 0.8571 prec@top5: 0.3286 loss_action_cls: 0.0549 2023/03/10 19:20:31 - mmengine - INFO - Epoch(train) [4][4180/4451] lr: 2.4025e-06 eta: 14:01:00 time: 0.7781 data_time: 0.0319 memory: 51970 grad_norm: 0.1347 loss: 0.0614 recall@thr=0.5: 0.5250 prec@thr=0.5: 0.7667 recall@top3: 0.8542 prec@top3: 0.6833 recall@top5: 0.9875 prec@top5: 0.5000 loss_action_cls: 0.0614 2023/03/10 19:20:45 - mmengine - INFO - Epoch(train) [4][4200/4451] lr: 2.4050e-06 eta: 14:00:47 time: 0.7246 data_time: 0.2045 memory: 51970 grad_norm: 0.1446 loss: 0.0679 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5977 recall@top3: 0.8793 prec@top3: 0.5862 recall@top5: 0.9483 prec@top5: 0.3724 loss_action_cls: 0.0679 2023/03/10 19:20:59 - mmengine - INFO - Epoch(train) [4][4220/4451] lr: 2.4074e-06 eta: 14:00:32 time: 0.6878 data_time: 0.2413 memory: 51970 grad_norm: 0.1459 loss: 0.0656 recall@thr=0.5: 0.6344 prec@thr=0.5: 0.7000 recall@top3: 0.7511 prec@top3: 0.6444 recall@top5: 0.9444 prec@top5: 0.5067 loss_action_cls: 0.0656 2023/03/10 19:21:14 - mmengine - INFO - Epoch(train) [4][4240/4451] lr: 2.4098e-06 eta: 14:00:20 time: 0.7394 data_time: 0.1122 memory: 51970 grad_norm: 0.1515 loss: 0.0550 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.7464 recall@top3: 0.8333 prec@top3: 0.8116 recall@top5: 1.0000 prec@top5: 0.5913 loss_action_cls: 0.0550 2023/03/10 19:21:28 - mmengine - INFO - Epoch(train) [4][4260/4451] lr: 2.4122e-06 eta: 14:00:07 time: 0.7167 data_time: 0.2211 memory: 51970 grad_norm: 0.1330 loss: 0.0575 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6471 recall@top3: 0.6176 prec@top3: 0.4902 recall@top5: 0.8824 prec@top5: 0.4118 loss_action_cls: 0.0575 2023/03/10 19:21:43 - mmengine - INFO - Epoch(train) [4][4280/4451] lr: 2.4146e-06 eta: 13:59:56 time: 0.7392 data_time: 0.3131 memory: 51970 grad_norm: 0.1428 loss: 0.0606 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.6650 recall@top3: 0.7108 prec@top3: 0.6333 recall@top5: 0.8933 prec@top5: 0.4900 loss_action_cls: 0.0606 2023/03/10 19:21:58 - mmengine - INFO - Epoch(train) [4][4300/4451] lr: 2.4170e-06 eta: 13:59:44 time: 0.7367 data_time: 0.3138 memory: 51970 grad_norm: 0.1444 loss: 0.0692 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8509 recall@top3: 0.8596 prec@top3: 0.4912 recall@top5: 1.0000 prec@top5: 0.3474 loss_action_cls: 0.0692 2023/03/10 19:22:10 - mmengine - INFO - Epoch(train) [4][4320/4451] lr: 2.4194e-06 eta: 13:59:23 time: 0.6167 data_time: 0.1957 memory: 51970 grad_norm: 0.1409 loss: 0.0618 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7193 recall@top3: 0.8684 prec@top3: 0.7018 recall@top5: 0.9211 prec@top5: 0.4421 loss_action_cls: 0.0618 2023/03/10 19:22:25 - mmengine - INFO - Epoch(train) [4][4340/4451] lr: 2.4218e-06 eta: 13:59:11 time: 0.7353 data_time: 0.3139 memory: 51970 grad_norm: 0.1493 loss: 0.0702 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7407 recall@top3: 0.7315 prec@top3: 0.5741 recall@top5: 0.9074 prec@top5: 0.4667 loss_action_cls: 0.0702 2023/03/10 19:22:40 - mmengine - INFO - Epoch(train) [4][4360/4451] lr: 2.4242e-06 eta: 13:59:00 time: 0.7495 data_time: 0.3219 memory: 51970 grad_norm: 0.1423 loss: 0.0531 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.5762 recall@top3: 0.7817 prec@top3: 0.6825 recall@top5: 0.8968 prec@top5: 0.4667 loss_action_cls: 0.0531 2023/03/10 19:22:54 - mmengine - INFO - Epoch(train) [4][4380/4451] lr: 2.4266e-06 eta: 13:58:48 time: 0.7304 data_time: 0.3076 memory: 51970 grad_norm: 0.1379 loss: 0.0570 recall@thr=0.5: 0.8478 prec@thr=0.5: 0.7935 recall@top3: 0.8696 prec@top3: 0.6377 recall@top5: 0.9348 prec@top5: 0.4174 loss_action_cls: 0.0570 2023/03/10 19:23:10 - mmengine - INFO - Epoch(train) [4][4400/4451] lr: 2.4290e-06 eta: 13:58:41 time: 0.7880 data_time: 0.3627 memory: 51970 grad_norm: 0.1396 loss: 0.0497 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8750 recall@top3: 0.8500 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.5100 loss_action_cls: 0.0497 2023/03/10 19:23:23 - mmengine - INFO - Epoch(train) [4][4420/4451] lr: 2.4314e-06 eta: 13:58:23 time: 0.6634 data_time: 0.2309 memory: 51970 grad_norm: 0.1429 loss: 0.0620 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.9259 recall@top3: 0.9167 prec@top3: 0.7037 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0620 2023/03/10 19:23:38 - mmengine - INFO - Epoch(train) [4][4440/4451] lr: 2.4338e-06 eta: 13:58:11 time: 0.7377 data_time: 0.3124 memory: 51970 grad_norm: 0.1374 loss: 0.0602 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7708 recall@top3: 0.8833 prec@top3: 0.6833 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0602 2023/03/10 19:23:43 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 19:23:43 - mmengine - INFO - Epoch(train) [4][4451/4451] lr: 2.4351e-06 eta: 13:57:51 time: 0.4942 data_time: 0.0792 memory: 51970 grad_norm: 0.1477 loss: 0.0658 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7889 recall@top3: 0.8111 prec@top3: 0.7556 recall@top5: 0.8111 prec@top5: 0.4533 loss_action_cls: 0.0658 2023/03/10 19:23:43 - mmengine - INFO - Saving checkpoint at 4 epochs 2023/03/10 19:23:49 - mmengine - INFO - Epoch(val) [4][ 20/6282] eta: 0:09:38 time: 0.0923 data_time: 0.0456 memory: 2331 2023/03/10 19:23:51 - mmengine - INFO - Epoch(val) [4][ 40/6282] eta: 0:07:53 time: 0.0594 data_time: 0.0167 memory: 2331 2023/03/10 19:23:52 - mmengine - INFO - Epoch(val) [4][ 60/6282] eta: 0:07:34 time: 0.0673 data_time: 0.0227 memory: 2331 2023/03/10 19:23:53 - mmengine - INFO - Epoch(val) [4][ 80/6282] eta: 0:07:11 time: 0.0594 data_time: 0.0166 memory: 2331 2023/03/10 19:23:54 - mmengine - INFO - Epoch(val) [4][ 100/6282] eta: 0:07:07 time: 0.0672 data_time: 0.0241 memory: 2331 2023/03/10 19:23:56 - mmengine - INFO - Epoch(val) [4][ 120/6282] eta: 0:07:04 time: 0.0677 data_time: 0.0138 memory: 2934 2023/03/10 19:23:57 - mmengine - INFO - Epoch(val) [4][ 140/6282] eta: 0:07:00 time: 0.0661 data_time: 0.0066 memory: 2934 2023/03/10 19:23:59 - mmengine - INFO - Epoch(val) [4][ 160/6282] eta: 0:06:57 time: 0.0667 data_time: 0.0054 memory: 2934 2023/03/10 19:24:00 - mmengine - INFO - Epoch(val) [4][ 180/6282] eta: 0:06:59 time: 0.0728 data_time: 0.0116 memory: 2934 2023/03/10 19:24:03 - mmengine - INFO - Epoch(val) [4][ 200/6282] eta: 0:07:33 time: 0.1271 data_time: 0.0674 memory: 2934 2023/03/10 19:24:04 - mmengine - INFO - Epoch(val) [4][ 220/6282] eta: 0:07:25 time: 0.0632 data_time: 0.0178 memory: 2396 2023/03/10 19:24:05 - mmengine - INFO - Epoch(val) [4][ 240/6282] eta: 0:07:13 time: 0.0520 data_time: 0.0039 memory: 2396 2023/03/10 19:24:06 - mmengine - INFO - Epoch(val) [4][ 260/6282] eta: 0:07:03 time: 0.0541 data_time: 0.0063 memory: 2396 2023/03/10 19:24:07 - mmengine - INFO - Epoch(val) [4][ 280/6282] eta: 0:06:56 time: 0.0563 data_time: 0.0106 memory: 2396 2023/03/10 19:24:08 - mmengine - INFO - Epoch(val) [4][ 300/6282] eta: 0:06:54 time: 0.0671 data_time: 0.0141 memory: 2934 2023/03/10 19:24:10 - mmengine - INFO - Epoch(val) [4][ 320/6282] eta: 0:06:52 time: 0.0675 data_time: 0.0061 memory: 2934 2023/03/10 19:24:11 - mmengine - INFO - Epoch(val) [4][ 340/6282] eta: 0:06:51 time: 0.0722 data_time: 0.0105 memory: 2934 2023/03/10 19:24:13 - mmengine - INFO - Epoch(val) [4][ 360/6282] eta: 0:06:52 time: 0.0739 data_time: 0.0104 memory: 2934 2023/03/10 19:24:14 - mmengine - INFO - Epoch(val) [4][ 380/6282] eta: 0:06:54 time: 0.0818 data_time: 0.0222 memory: 2934 2023/03/10 19:24:16 - mmengine - INFO - Epoch(val) [4][ 400/6282] eta: 0:06:53 time: 0.0713 data_time: 0.0158 memory: 2934 2023/03/10 19:24:17 - mmengine - INFO - Epoch(val) [4][ 420/6282] eta: 0:06:49 time: 0.0622 data_time: 0.0152 memory: 2397 2023/03/10 19:24:18 - mmengine - INFO - Epoch(val) [4][ 440/6282] eta: 0:06:47 time: 0.0666 data_time: 0.0211 memory: 2397 2023/03/10 19:24:20 - mmengine - INFO - Epoch(val) [4][ 460/6282] eta: 0:06:44 time: 0.0636 data_time: 0.0188 memory: 2397 2023/03/10 19:24:21 - mmengine - INFO - Epoch(val) [4][ 480/6282] eta: 0:06:44 time: 0.0766 data_time: 0.0294 memory: 2397 2023/03/10 19:24:22 - mmengine - INFO - Epoch(val) [4][ 500/6282] eta: 0:06:41 time: 0.0622 data_time: 0.0162 memory: 2397 2023/03/10 19:24:24 - mmengine - INFO - Epoch(val) [4][ 520/6282] eta: 0:06:40 time: 0.0692 data_time: 0.0243 memory: 2396 2023/03/10 19:24:25 - mmengine - INFO - Epoch(val) [4][ 540/6282] eta: 0:06:38 time: 0.0659 data_time: 0.0188 memory: 2396 2023/03/10 19:24:26 - mmengine - INFO - Epoch(val) [4][ 560/6282] eta: 0:06:36 time: 0.0696 data_time: 0.0205 memory: 2396 2023/03/10 19:24:28 - mmengine - INFO - Epoch(val) [4][ 580/6282] eta: 0:06:34 time: 0.0673 data_time: 0.0224 memory: 2396 2023/03/10 19:24:29 - mmengine - INFO - Epoch(val) [4][ 600/6282] eta: 0:06:33 time: 0.0682 data_time: 0.0208 memory: 2396 2023/03/10 19:24:31 - mmengine - INFO - Epoch(val) [4][ 620/6282] eta: 0:06:31 time: 0.0685 data_time: 0.0229 memory: 2396 2023/03/10 19:24:32 - mmengine - INFO - Epoch(val) [4][ 640/6282] eta: 0:06:26 time: 0.0491 data_time: 0.0046 memory: 2332 2023/03/10 19:24:32 - mmengine - INFO - Epoch(val) [4][ 660/6282] eta: 0:06:21 time: 0.0475 data_time: 0.0030 memory: 2332 2023/03/10 19:24:33 - mmengine - INFO - Epoch(val) [4][ 680/6282] eta: 0:06:17 time: 0.0473 data_time: 0.0027 memory: 2332 2023/03/10 19:24:34 - mmengine - INFO - Epoch(val) [4][ 700/6282] eta: 0:06:12 time: 0.0467 data_time: 0.0028 memory: 2332 2023/03/10 19:24:36 - mmengine - INFO - Epoch(val) [4][ 720/6282] eta: 0:06:13 time: 0.0809 data_time: 0.0231 memory: 2934 2023/03/10 19:24:38 - mmengine - INFO - Epoch(val) [4][ 740/6282] eta: 0:06:18 time: 0.1121 data_time: 0.0494 memory: 2934 2023/03/10 19:24:41 - mmengine - INFO - Epoch(val) [4][ 760/6282] eta: 0:06:25 time: 0.1210 data_time: 0.0601 memory: 2934 2023/03/10 19:24:43 - mmengine - INFO - Epoch(val) [4][ 780/6282] eta: 0:06:28 time: 0.1066 data_time: 0.0451 memory: 2934 2023/03/10 19:24:45 - mmengine - INFO - Epoch(val) [4][ 800/6282] eta: 0:06:30 time: 0.0934 data_time: 0.0317 memory: 2934 2023/03/10 19:24:46 - mmengine - INFO - Epoch(val) [4][ 820/6282] eta: 0:06:29 time: 0.0709 data_time: 0.0179 memory: 2934 2023/03/10 19:24:47 - mmengine - INFO - Epoch(val) [4][ 840/6282] eta: 0:06:25 time: 0.0579 data_time: 0.0108 memory: 2396 2023/03/10 19:24:49 - mmengine - INFO - Epoch(val) [4][ 860/6282] eta: 0:06:24 time: 0.0708 data_time: 0.0259 memory: 2396 2023/03/10 19:24:50 - mmengine - INFO - Epoch(val) [4][ 880/6282] eta: 0:06:21 time: 0.0608 data_time: 0.0161 memory: 2396 2023/03/10 19:24:51 - mmengine - INFO - Epoch(val) [4][ 900/6282] eta: 0:06:19 time: 0.0656 data_time: 0.0207 memory: 2396 2023/03/10 19:24:52 - mmengine - INFO - Epoch(val) [4][ 920/6282] eta: 0:06:17 time: 0.0603 data_time: 0.0155 memory: 2396 2023/03/10 19:24:54 - mmengine - INFO - Epoch(val) [4][ 940/6282] eta: 0:06:15 time: 0.0702 data_time: 0.0274 memory: 2331 2023/03/10 19:24:55 - mmengine - INFO - Epoch(val) [4][ 960/6282] eta: 0:06:13 time: 0.0590 data_time: 0.0161 memory: 2331 2023/03/10 19:24:56 - mmengine - INFO - Epoch(val) [4][ 980/6282] eta: 0:06:11 time: 0.0646 data_time: 0.0221 memory: 2331 2023/03/10 19:24:57 - mmengine - INFO - Epoch(val) [4][1000/6282] eta: 0:06:08 time: 0.0585 data_time: 0.0162 memory: 2331 2023/03/10 19:24:59 - mmengine - INFO - Epoch(val) [4][1020/6282] eta: 0:06:07 time: 0.0730 data_time: 0.0305 memory: 2396 2023/03/10 19:25:00 - mmengine - INFO - Epoch(val) [4][1040/6282] eta: 0:06:06 time: 0.0772 data_time: 0.0323 memory: 2396 2023/03/10 19:25:02 - mmengine - INFO - Epoch(val) [4][1060/6282] eta: 0:06:05 time: 0.0673 data_time: 0.0214 memory: 2396 2023/03/10 19:25:03 - mmengine - INFO - Epoch(val) [4][1080/6282] eta: 0:06:02 time: 0.0595 data_time: 0.0136 memory: 2396 2023/03/10 19:25:04 - mmengine - INFO - Epoch(val) [4][1100/6282] eta: 0:06:01 time: 0.0676 data_time: 0.0226 memory: 2396 2023/03/10 19:25:06 - mmengine - INFO - Epoch(val) [4][1120/6282] eta: 0:05:58 time: 0.0615 data_time: 0.0153 memory: 2396 2023/03/10 19:25:07 - mmengine - INFO - Epoch(val) [4][1140/6282] eta: 0:05:57 time: 0.0669 data_time: 0.0215 memory: 2396 2023/03/10 19:25:08 - mmengine - INFO - Epoch(val) [4][1160/6282] eta: 0:05:55 time: 0.0629 data_time: 0.0170 memory: 2396 2023/03/10 19:25:09 - mmengine - INFO - Epoch(val) [4][1180/6282] eta: 0:05:52 time: 0.0532 data_time: 0.0046 memory: 2396 2023/03/10 19:25:10 - mmengine - INFO - Epoch(val) [4][1200/6282] eta: 0:05:49 time: 0.0492 data_time: 0.0022 memory: 2396 2023/03/10 19:25:11 - mmengine - INFO - Epoch(val) [4][1220/6282] eta: 0:05:46 time: 0.0477 data_time: 0.0023 memory: 2396 2023/03/10 19:25:13 - mmengine - INFO - Epoch(val) [4][1240/6282] eta: 0:05:47 time: 0.0933 data_time: 0.0325 memory: 2934 2023/03/10 19:25:15 - mmengine - INFO - Epoch(val) [4][1260/6282] eta: 0:05:47 time: 0.0962 data_time: 0.0331 memory: 2934 2023/03/10 19:25:17 - mmengine - INFO - Epoch(val) [4][1280/6282] eta: 0:05:48 time: 0.1015 data_time: 0.0392 memory: 2934 2023/03/10 19:25:19 - mmengine - INFO - Epoch(val) [4][1300/6282] eta: 0:05:49 time: 0.0988 data_time: 0.0369 memory: 2934 2023/03/10 19:25:21 - mmengine - INFO - Epoch(val) [4][1320/6282] eta: 0:05:52 time: 0.1196 data_time: 0.0566 memory: 2934 2023/03/10 19:25:23 - mmengine - INFO - Epoch(val) [4][1340/6282] eta: 0:05:52 time: 0.0958 data_time: 0.0343 memory: 2934 2023/03/10 19:25:25 - mmengine - INFO - Epoch(val) [4][1360/6282] eta: 0:05:53 time: 0.1057 data_time: 0.0446 memory: 2934 2023/03/10 19:25:27 - mmengine - INFO - Epoch(val) [4][1380/6282] eta: 0:05:53 time: 0.0893 data_time: 0.0278 memory: 2934 2023/03/10 19:25:29 - mmengine - INFO - Epoch(val) [4][1400/6282] eta: 0:05:53 time: 0.0929 data_time: 0.0324 memory: 2934 2023/03/10 19:25:31 - mmengine - INFO - Epoch(val) [4][1420/6282] eta: 0:05:53 time: 0.0926 data_time: 0.0328 memory: 2934 2023/03/10 19:25:32 - mmengine - INFO - Epoch(val) [4][1440/6282] eta: 0:05:51 time: 0.0655 data_time: 0.0031 memory: 2934 2023/03/10 19:25:34 - mmengine - INFO - Epoch(val) [4][1460/6282] eta: 0:05:49 time: 0.0668 data_time: 0.0056 memory: 2934 2023/03/10 19:25:35 - mmengine - INFO - Epoch(val) [4][1480/6282] eta: 0:05:47 time: 0.0642 data_time: 0.0025 memory: 2934 2023/03/10 19:25:36 - mmengine - INFO - Epoch(val) [4][1500/6282] eta: 0:05:45 time: 0.0626 data_time: 0.0024 memory: 2934 2023/03/10 19:25:37 - mmengine - INFO - Epoch(val) [4][1520/6282] eta: 0:05:43 time: 0.0643 data_time: 0.0024 memory: 3958 2023/03/10 19:25:39 - mmengine - INFO - Epoch(val) [4][1540/6282] eta: 0:05:43 time: 0.0861 data_time: 0.0027 memory: 3958 2023/03/10 19:25:41 - mmengine - INFO - Epoch(val) [4][1560/6282] eta: 0:05:42 time: 0.0863 data_time: 0.0029 memory: 3958 2023/03/10 19:25:43 - mmengine - INFO - Epoch(val) [4][1580/6282] eta: 0:05:41 time: 0.0860 data_time: 0.0026 memory: 3958 2023/03/10 19:25:44 - mmengine - INFO - Epoch(val) [4][1600/6282] eta: 0:05:41 time: 0.0856 data_time: 0.0026 memory: 3958 2023/03/10 19:25:46 - mmengine - INFO - Epoch(val) [4][1620/6282] eta: 0:05:40 time: 0.0858 data_time: 0.0026 memory: 3958 2023/03/10 19:25:47 - mmengine - INFO - Epoch(val) [4][1640/6282] eta: 0:05:38 time: 0.0623 data_time: 0.0022 memory: 2934 2023/03/10 19:25:49 - mmengine - INFO - Epoch(val) [4][1660/6282] eta: 0:05:36 time: 0.0640 data_time: 0.0028 memory: 2934 2023/03/10 19:25:50 - mmengine - INFO - Epoch(val) [4][1680/6282] eta: 0:05:34 time: 0.0639 data_time: 0.0025 memory: 2934 2023/03/10 19:25:51 - mmengine - INFO - Epoch(val) [4][1700/6282] eta: 0:05:32 time: 0.0634 data_time: 0.0024 memory: 2934 2023/03/10 19:25:52 - mmengine - INFO - Epoch(val) [4][1720/6282] eta: 0:05:30 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 19:25:54 - mmengine - INFO - Epoch(val) [4][1740/6282] eta: 0:05:28 time: 0.0634 data_time: 0.0025 memory: 2934 2023/03/10 19:25:55 - mmengine - INFO - Epoch(val) [4][1760/6282] eta: 0:05:26 time: 0.0638 data_time: 0.0026 memory: 2934 2023/03/10 19:25:56 - mmengine - INFO - Epoch(val) [4][1780/6282] eta: 0:05:24 time: 0.0640 data_time: 0.0028 memory: 2934 2023/03/10 19:25:58 - mmengine - INFO - Epoch(val) [4][1800/6282] eta: 0:05:23 time: 0.0681 data_time: 0.0039 memory: 2934 2023/03/10 19:25:59 - mmengine - INFO - Epoch(val) [4][1820/6282] eta: 0:05:21 time: 0.0661 data_time: 0.0037 memory: 2934 2023/03/10 19:26:00 - mmengine - INFO - Epoch(val) [4][1840/6282] eta: 0:05:19 time: 0.0660 data_time: 0.0046 memory: 2934 2023/03/10 19:26:02 - mmengine - INFO - Epoch(val) [4][1860/6282] eta: 0:05:19 time: 0.1000 data_time: 0.0373 memory: 2934 2023/03/10 19:26:04 - mmengine - INFO - Epoch(val) [4][1880/6282] eta: 0:05:19 time: 0.0923 data_time: 0.0304 memory: 2934 2023/03/10 19:26:06 - mmengine - INFO - Epoch(val) [4][1900/6282] eta: 0:05:18 time: 0.1009 data_time: 0.0387 memory: 2934 2023/03/10 19:26:08 - mmengine - INFO - Epoch(val) [4][1920/6282] eta: 0:05:17 time: 0.0818 data_time: 0.0207 memory: 2934 2023/03/10 19:26:10 - mmengine - INFO - Epoch(val) [4][1940/6282] eta: 0:05:17 time: 0.0889 data_time: 0.0329 memory: 2934 2023/03/10 19:26:11 - mmengine - INFO - Epoch(val) [4][1960/6282] eta: 0:05:15 time: 0.0638 data_time: 0.0173 memory: 2397 2023/03/10 19:26:12 - mmengine - INFO - Epoch(val) [4][1980/6282] eta: 0:05:13 time: 0.0662 data_time: 0.0191 memory: 2397 2023/03/10 19:26:13 - mmengine - INFO - Epoch(val) [4][2000/6282] eta: 0:05:11 time: 0.0634 data_time: 0.0179 memory: 2397 2023/03/10 19:26:15 - mmengine - INFO - Epoch(val) [4][2020/6282] eta: 0:05:09 time: 0.0663 data_time: 0.0201 memory: 2397 2023/03/10 19:26:16 - mmengine - INFO - Epoch(val) [4][2040/6282] eta: 0:05:07 time: 0.0621 data_time: 0.0167 memory: 2397 2023/03/10 19:26:17 - mmengine - INFO - Epoch(val) [4][2060/6282] eta: 0:05:06 time: 0.0648 data_time: 0.0183 memory: 2397 2023/03/10 19:26:19 - mmengine - INFO - Epoch(val) [4][2080/6282] eta: 0:05:04 time: 0.0612 data_time: 0.0164 memory: 2397 2023/03/10 19:26:20 - mmengine - INFO - Epoch(val) [4][2100/6282] eta: 0:05:02 time: 0.0674 data_time: 0.0218 memory: 2397 2023/03/10 19:26:21 - mmengine - INFO - Epoch(val) [4][2120/6282] eta: 0:05:01 time: 0.0695 data_time: 0.0213 memory: 2397 2023/03/10 19:26:23 - mmengine - INFO - Epoch(val) [4][2140/6282] eta: 0:04:59 time: 0.0654 data_time: 0.0188 memory: 2397 2023/03/10 19:26:24 - mmengine - INFO - Epoch(val) [4][2160/6282] eta: 0:04:57 time: 0.0631 data_time: 0.0160 memory: 2396 2023/03/10 19:26:25 - mmengine - INFO - Epoch(val) [4][2180/6282] eta: 0:04:55 time: 0.0680 data_time: 0.0214 memory: 2396 2023/03/10 19:26:26 - mmengine - INFO - Epoch(val) [4][2200/6282] eta: 0:04:53 time: 0.0566 data_time: 0.0104 memory: 2396 2023/03/10 19:26:28 - mmengine - INFO - Epoch(val) [4][2220/6282] eta: 0:04:52 time: 0.0662 data_time: 0.0187 memory: 2396 2023/03/10 19:26:29 - mmengine - INFO - Epoch(val) [4][2240/6282] eta: 0:04:50 time: 0.0639 data_time: 0.0188 memory: 2396 2023/03/10 19:26:30 - mmengine - INFO - Epoch(val) [4][2260/6282] eta: 0:04:48 time: 0.0654 data_time: 0.0205 memory: 2397 2023/03/10 19:26:32 - mmengine - INFO - Epoch(val) [4][2280/6282] eta: 0:04:47 time: 0.0638 data_time: 0.0189 memory: 2397 2023/03/10 19:26:33 - mmengine - INFO - Epoch(val) [4][2300/6282] eta: 0:04:45 time: 0.0639 data_time: 0.0170 memory: 2397 2023/03/10 19:26:34 - mmengine - INFO - Epoch(val) [4][2320/6282] eta: 0:04:43 time: 0.0685 data_time: 0.0208 memory: 2397 2023/03/10 19:26:36 - mmengine - INFO - Epoch(val) [4][2340/6282] eta: 0:04:42 time: 0.0671 data_time: 0.0209 memory: 2397 2023/03/10 19:26:37 - mmengine - INFO - Epoch(val) [4][2360/6282] eta: 0:04:40 time: 0.0615 data_time: 0.0166 memory: 2396 2023/03/10 19:26:38 - mmengine - INFO - Epoch(val) [4][2380/6282] eta: 0:04:39 time: 0.0693 data_time: 0.0245 memory: 2396 2023/03/10 19:26:39 - mmengine - INFO - Epoch(val) [4][2400/6282] eta: 0:04:37 time: 0.0606 data_time: 0.0144 memory: 2396 2023/03/10 19:26:41 - mmengine - INFO - Epoch(val) [4][2420/6282] eta: 0:04:35 time: 0.0656 data_time: 0.0201 memory: 2396 2023/03/10 19:26:42 - mmengine - INFO - Epoch(val) [4][2440/6282] eta: 0:04:33 time: 0.0519 data_time: 0.0053 memory: 2396 2023/03/10 19:26:43 - mmengine - INFO - Epoch(val) [4][2460/6282] eta: 0:04:32 time: 0.0766 data_time: 0.0170 memory: 2934 2023/03/10 19:26:45 - mmengine - INFO - Epoch(val) [4][2480/6282] eta: 0:04:30 time: 0.0642 data_time: 0.0037 memory: 2934 2023/03/10 19:26:46 - mmengine - INFO - Epoch(val) [4][2500/6282] eta: 0:04:29 time: 0.0682 data_time: 0.0054 memory: 2934 2023/03/10 19:26:47 - mmengine - INFO - Epoch(val) [4][2520/6282] eta: 0:04:27 time: 0.0661 data_time: 0.0044 memory: 2934 2023/03/10 19:26:49 - mmengine - INFO - Epoch(val) [4][2540/6282] eta: 0:04:26 time: 0.0831 data_time: 0.0218 memory: 2934 2023/03/10 19:26:51 - mmengine - INFO - Epoch(val) [4][2560/6282] eta: 0:04:25 time: 0.0938 data_time: 0.0324 memory: 2934 2023/03/10 19:26:53 - mmengine - INFO - Epoch(val) [4][2580/6282] eta: 0:04:25 time: 0.1058 data_time: 0.0442 memory: 2934 2023/03/10 19:26:55 - mmengine - INFO - Epoch(val) [4][2600/6282] eta: 0:04:24 time: 0.0942 data_time: 0.0325 memory: 2934 2023/03/10 19:26:57 - mmengine - INFO - Epoch(val) [4][2620/6282] eta: 0:04:23 time: 0.0971 data_time: 0.0357 memory: 2934 2023/03/10 19:26:58 - mmengine - INFO - Epoch(val) [4][2640/6282] eta: 0:04:22 time: 0.0684 data_time: 0.0082 memory: 2934 2023/03/10 19:27:00 - mmengine - INFO - Epoch(val) [4][2660/6282] eta: 0:04:21 time: 0.0845 data_time: 0.0029 memory: 3842 2023/03/10 19:27:01 - mmengine - INFO - Epoch(val) [4][2680/6282] eta: 0:04:20 time: 0.0841 data_time: 0.0027 memory: 3842 2023/03/10 19:27:03 - mmengine - INFO - Epoch(val) [4][2700/6282] eta: 0:04:18 time: 0.0841 data_time: 0.0026 memory: 3842 2023/03/10 19:27:05 - mmengine - INFO - Epoch(val) 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eta: 0:04:04 time: 0.0691 data_time: 0.0087 memory: 2934 2023/03/10 19:27:16 - mmengine - INFO - Epoch(val) [4][2900/6282] eta: 0:04:02 time: 0.0743 data_time: 0.0133 memory: 2934 2023/03/10 19:27:18 - mmengine - INFO - Epoch(val) [4][2920/6282] eta: 0:04:01 time: 0.0679 data_time: 0.0151 memory: 2934 2023/03/10 19:27:19 - mmengine - INFO - Epoch(val) [4][2940/6282] eta: 0:03:59 time: 0.0673 data_time: 0.0156 memory: 2609 2023/03/10 19:27:20 - mmengine - INFO - Epoch(val) [4][2960/6282] eta: 0:03:58 time: 0.0772 data_time: 0.0267 memory: 2609 2023/03/10 19:27:22 - mmengine - INFO - Epoch(val) [4][2980/6282] eta: 0:03:56 time: 0.0646 data_time: 0.0156 memory: 2609 2023/03/10 19:27:23 - mmengine - INFO - Epoch(val) [4][3000/6282] eta: 0:03:55 time: 0.0679 data_time: 0.0188 memory: 2609 2023/03/10 19:27:24 - mmengine - INFO - Epoch(val) [4][3020/6282] eta: 0:03:53 time: 0.0640 data_time: 0.0045 memory: 2934 2023/03/10 19:27:26 - mmengine - INFO - Epoch(val) [4][3040/6282] eta: 0:03:52 time: 0.0643 data_time: 0.0049 memory: 2934 2023/03/10 19:27:27 - mmengine - INFO - Epoch(val) [4][3060/6282] eta: 0:03:50 time: 0.0635 data_time: 0.0023 memory: 2934 2023/03/10 19:27:28 - mmengine - INFO - Epoch(val) [4][3080/6282] eta: 0:03:48 time: 0.0676 data_time: 0.0046 memory: 2934 2023/03/10 19:27:29 - mmengine - INFO - Epoch(val) [4][3100/6282] eta: 0:03:47 time: 0.0594 data_time: 0.0073 memory: 2934 2023/03/10 19:27:31 - mmengine - INFO - Epoch(val) [4][3120/6282] eta: 0:03:45 time: 0.0656 data_time: 0.0207 memory: 2397 2023/03/10 19:27:32 - mmengine - INFO - Epoch(val) [4][3140/6282] eta: 0:03:44 time: 0.0580 data_time: 0.0117 memory: 2397 2023/03/10 19:27:33 - mmengine - INFO - Epoch(val) [4][3160/6282] eta: 0:03:42 time: 0.0666 data_time: 0.0201 memory: 2397 2023/03/10 19:27:34 - mmengine - INFO - Epoch(val) [4][3180/6282] eta: 0:03:40 time: 0.0526 data_time: 0.0064 memory: 2397 2023/03/10 19:27:36 - mmengine - INFO - Epoch(val) [4][3200/6282] eta: 0:03:39 time: 0.0655 data_time: 0.0065 memory: 2934 2023/03/10 19:27:37 - mmengine - INFO - Epoch(val) [4][3220/6282] eta: 0:03:37 time: 0.0654 data_time: 0.0048 memory: 2934 2023/03/10 19:27:38 - mmengine - INFO - Epoch(val) [4][3240/6282] eta: 0:03:36 time: 0.0686 data_time: 0.0072 memory: 2934 2023/03/10 19:27:40 - mmengine - INFO - Epoch(val) [4][3260/6282] eta: 0:03:34 time: 0.0702 data_time: 0.0076 memory: 2934 2023/03/10 19:27:41 - mmengine - INFO - Epoch(val) [4][3280/6282] eta: 0:03:33 time: 0.0722 data_time: 0.0113 memory: 2934 2023/03/10 19:27:42 - mmengine - INFO - Epoch(val) [4][3300/6282] eta: 0:03:31 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/10 19:27:44 - mmengine - INFO - Epoch(val) [4][3320/6282] eta: 0:03:30 time: 0.0656 data_time: 0.0039 memory: 2934 2023/03/10 19:27:45 - mmengine - INFO - Epoch(val) [4][3340/6282] eta: 0:03:28 time: 0.0641 data_time: 0.0024 memory: 2934 2023/03/10 19:27:46 - mmengine - INFO - Epoch(val) [4][3360/6282] eta: 0:03:27 time: 0.0640 data_time: 0.0024 memory: 2934 2023/03/10 19:27:47 - mmengine - INFO - Epoch(val) [4][3380/6282] eta: 0:03:25 time: 0.0586 data_time: 0.0021 memory: 2934 2023/03/10 19:27:49 - mmengine - INFO - Epoch(val) [4][3400/6282] eta: 0:03:24 time: 0.0641 data_time: 0.0169 memory: 2396 2023/03/10 19:27:50 - mmengine - INFO - Epoch(val) [4][3420/6282] eta: 0:03:22 time: 0.0610 data_time: 0.0130 memory: 2396 2023/03/10 19:27:51 - mmengine - INFO - Epoch(val) [4][3440/6282] eta: 0:03:20 time: 0.0593 data_time: 0.0125 memory: 2396 2023/03/10 19:27:52 - mmengine - INFO - Epoch(val) [4][3460/6282] eta: 0:03:19 time: 0.0630 data_time: 0.0174 memory: 2396 2023/03/10 19:27:54 - mmengine - INFO - Epoch(val) [4][3480/6282] eta: 0:03:17 time: 0.0711 data_time: 0.0253 memory: 2396 2023/03/10 19:27:55 - mmengine - INFO - Epoch(val) [4][3500/6282] eta: 0:03:16 time: 0.0588 data_time: 0.0132 memory: 2396 2023/03/10 19:27:56 - mmengine - INFO - Epoch(val) [4][3520/6282] eta: 0:03:14 time: 0.0655 data_time: 0.0196 memory: 2396 2023/03/10 19:27:58 - mmengine - INFO - Epoch(val) [4][3540/6282] eta: 0:03:13 time: 0.0594 data_time: 0.0147 memory: 2396 2023/03/10 19:27:59 - mmengine - INFO - Epoch(val) [4][3560/6282] eta: 0:03:11 time: 0.0646 data_time: 0.0199 memory: 2396 2023/03/10 19:28:00 - mmengine - INFO - Epoch(val) [4][3580/6282] eta: 0:03:10 time: 0.0638 data_time: 0.0147 memory: 2765 2023/03/10 19:28:02 - mmengine - INFO - Epoch(val) [4][3600/6282] eta: 0:03:08 time: 0.0767 data_time: 0.0220 memory: 2765 2023/03/10 19:28:03 - mmengine - INFO - Epoch(val) [4][3620/6282] eta: 0:03:07 time: 0.0596 data_time: 0.0026 memory: 2765 2023/03/10 19:28:04 - mmengine - INFO - Epoch(val) [4][3640/6282] eta: 0:03:05 time: 0.0643 data_time: 0.0087 memory: 2765 2023/03/10 19:28:05 - mmengine - INFO - Epoch(val) [4][3660/6282] eta: 0:03:04 time: 0.0601 data_time: 0.0030 memory: 2765 2023/03/10 19:28:07 - mmengine - INFO - Epoch(val) [4][3680/6282] eta: 0:03:02 time: 0.0616 data_time: 0.0028 memory: 2934 2023/03/10 19:28:08 - mmengine - INFO - Epoch(val) [4][3700/6282] eta: 0:03:01 time: 0.0640 data_time: 0.0028 memory: 2934 2023/03/10 19:28:09 - mmengine - INFO - Epoch(val) [4][3720/6282] eta: 0:02:59 time: 0.0633 data_time: 0.0030 memory: 2934 2023/03/10 19:28:10 - mmengine - INFO - Epoch(val) [4][3740/6282] eta: 0:02:58 time: 0.0635 data_time: 0.0030 memory: 2934 2023/03/10 19:28:12 - mmengine - INFO - Epoch(val) [4][3760/6282] eta: 0:02:56 time: 0.0645 data_time: 0.0031 memory: 2934 2023/03/10 19:28:13 - mmengine - INFO - Epoch(val) [4][3780/6282] eta: 0:02:55 time: 0.0643 data_time: 0.0033 memory: 2934 2023/03/10 19:28:14 - mmengine - INFO - Epoch(val) [4][3800/6282] eta: 0:02:53 time: 0.0641 data_time: 0.0032 memory: 2934 2023/03/10 19:28:16 - mmengine - INFO - Epoch(val) [4][3820/6282] eta: 0:02:52 time: 0.0639 data_time: 0.0033 memory: 2934 2023/03/10 19:28:17 - mmengine - INFO - Epoch(val) [4][3840/6282] eta: 0:02:50 time: 0.0665 data_time: 0.0058 memory: 2934 2023/03/10 19:28:18 - mmengine - INFO - Epoch(val) [4][3860/6282] eta: 0:02:49 time: 0.0644 data_time: 0.0033 memory: 2934 2023/03/10 19:28:20 - mmengine - INFO - Epoch(val) [4][3880/6282] eta: 0:02:48 time: 0.0729 data_time: 0.0103 memory: 2934 2023/03/10 19:28:21 - mmengine - INFO - Epoch(val) [4][3900/6282] eta: 0:02:46 time: 0.0753 data_time: 0.0146 memory: 2934 2023/03/10 19:28:22 - mmengine - INFO - Epoch(val) [4][3920/6282] eta: 0:02:45 time: 0.0640 data_time: 0.0030 memory: 2934 2023/03/10 19:28:24 - mmengine - INFO - Epoch(val) [4][3940/6282] eta: 0:02:43 time: 0.0699 data_time: 0.0087 memory: 2934 2023/03/10 19:28:25 - mmengine - INFO - Epoch(val) [4][3960/6282] eta: 0:02:42 time: 0.0705 data_time: 0.0080 memory: 2934 2023/03/10 19:28:27 - mmengine - INFO - Epoch(val) [4][3980/6282] eta: 0:02:41 time: 0.0639 data_time: 0.0022 memory: 2934 2023/03/10 19:28:28 - mmengine - INFO - Epoch(val) [4][4000/6282] eta: 0:02:39 time: 0.0639 data_time: 0.0025 memory: 2934 2023/03/10 19:28:29 - mmengine - INFO - Epoch(val) [4][4020/6282] eta: 0:02:38 time: 0.0669 data_time: 0.0020 memory: 2934 2023/03/10 19:28:30 - mmengine - INFO - Epoch(val) [4][4040/6282] eta: 0:02:36 time: 0.0650 data_time: 0.0022 memory: 3842 2023/03/10 19:28:32 - mmengine - INFO - Epoch(val) [4][4060/6282] eta: 0:02:35 time: 0.0833 data_time: 0.0021 memory: 3842 2023/03/10 19:28:34 - mmengine - INFO - Epoch(val) [4][4080/6282] eta: 0:02:34 time: 0.0834 data_time: 0.0023 memory: 3842 2023/03/10 19:28:35 - mmengine - INFO - Epoch(val) [4][4100/6282] eta: 0:02:32 time: 0.0838 data_time: 0.0025 memory: 3842 2023/03/10 19:28:37 - mmengine - INFO - Epoch(val) [4][4120/6282] eta: 0:02:31 time: 0.0839 data_time: 0.0024 memory: 3842 2023/03/10 19:28:39 - mmengine - INFO - Epoch(val) [4][4140/6282] eta: 0:02:30 time: 0.0716 data_time: 0.0024 memory: 3842 2023/03/10 19:28:40 - mmengine - INFO - Epoch(val) [4][4160/6282] eta: 0:02:28 time: 0.0501 data_time: 0.0020 memory: 2396 2023/03/10 19:28:41 - mmengine - INFO - Epoch(val) [4][4180/6282] eta: 0:02:27 time: 0.0677 data_time: 0.0228 memory: 2396 2023/03/10 19:28:42 - mmengine - INFO - Epoch(val) [4][4200/6282] eta: 0:02:25 time: 0.0699 data_time: 0.0226 memory: 2396 2023/03/10 19:28:44 - mmengine - INFO - Epoch(val) [4][4220/6282] eta: 0:02:24 time: 0.0659 data_time: 0.0186 memory: 2396 2023/03/10 19:28:45 - mmengine - INFO - Epoch(val) [4][4240/6282] eta: 0:02:22 time: 0.0644 data_time: 0.0170 memory: 2396 2023/03/10 19:28:46 - mmengine - INFO - Epoch(val) [4][4260/6282] eta: 0:02:21 time: 0.0592 data_time: 0.0144 memory: 2396 2023/03/10 19:28:47 - mmengine - INFO - Epoch(val) [4][4280/6282] eta: 0:02:19 time: 0.0646 data_time: 0.0172 memory: 2396 2023/03/10 19:28:49 - mmengine - INFO - Epoch(val) [4][4300/6282] eta: 0:02:18 time: 0.0644 data_time: 0.0190 memory: 2396 2023/03/10 19:28:50 - mmengine - INFO - Epoch(val) [4][4320/6282] eta: 0:02:17 time: 0.0689 data_time: 0.0242 memory: 2396 2023/03/10 19:28:51 - mmengine - INFO - Epoch(val) [4][4340/6282] eta: 0:02:15 time: 0.0608 data_time: 0.0160 memory: 2396 2023/03/10 19:28:53 - mmengine - INFO - Epoch(val) [4][4360/6282] eta: 0:02:14 time: 0.0673 data_time: 0.0078 memory: 2934 2023/03/10 19:28:54 - mmengine - INFO - Epoch(val) [4][4380/6282] eta: 0:02:12 time: 0.0684 data_time: 0.0090 memory: 2934 2023/03/10 19:28:55 - mmengine - INFO - Epoch(val) [4][4400/6282] eta: 0:02:11 time: 0.0638 data_time: 0.0043 memory: 2934 2023/03/10 19:28:57 - mmengine - INFO - Epoch(val) [4][4420/6282] eta: 0:02:09 time: 0.0631 data_time: 0.0021 memory: 2934 2023/03/10 19:28:58 - mmengine - INFO - Epoch(val) [4][4440/6282] eta: 0:02:08 time: 0.0648 data_time: 0.0026 memory: 3023 2023/03/10 19:28:59 - mmengine - INFO - Epoch(val) [4][4460/6282] eta: 0:02:07 time: 0.0672 data_time: 0.0024 memory: 3023 2023/03/10 19:29:01 - mmengine - INFO - Epoch(val) [4][4480/6282] eta: 0:02:05 time: 0.0668 data_time: 0.0030 memory: 3023 2023/03/10 19:29:02 - mmengine - INFO - Epoch(val) [4][4500/6282] eta: 0:02:04 time: 0.0658 data_time: 0.0037 memory: 3023 2023/03/10 19:29:03 - mmengine - INFO - Epoch(val) [4][4520/6282] eta: 0:02:02 time: 0.0666 data_time: 0.0040 memory: 3023 2023/03/10 19:29:04 - mmengine - INFO - Epoch(val) [4][4540/6282] eta: 0:02:01 time: 0.0584 data_time: 0.0114 memory: 2464 2023/03/10 19:29:06 - mmengine - INFO - Epoch(val) [4][4560/6282] eta: 0:01:59 time: 0.0703 data_time: 0.0222 memory: 2464 2023/03/10 19:29:07 - mmengine - INFO - Epoch(val) [4][4580/6282] eta: 0:01:58 time: 0.0596 data_time: 0.0138 memory: 2464 2023/03/10 19:29:08 - mmengine - INFO - Epoch(val) [4][4600/6282] eta: 0:01:57 time: 0.0701 data_time: 0.0192 memory: 2464 2023/03/10 19:29:10 - mmengine - INFO - Epoch(val) [4][4620/6282] eta: 0:01:55 time: 0.0619 data_time: 0.0133 memory: 2464 2023/03/10 19:29:11 - mmengine - INFO - Epoch(val) [4][4640/6282] eta: 0:01:54 time: 0.0693 data_time: 0.0055 memory: 3023 2023/03/10 19:29:12 - mmengine - INFO - Epoch(val) [4][4660/6282] eta: 0:01:52 time: 0.0658 data_time: 0.0022 memory: 3023 2023/03/10 19:29:14 - mmengine - INFO - Epoch(val) [4][4680/6282] eta: 0:01:51 time: 0.0684 data_time: 0.0025 memory: 3023 2023/03/10 19:29:15 - mmengine - INFO - Epoch(val) [4][4700/6282] eta: 0:01:49 time: 0.0648 data_time: 0.0019 memory: 3023 2023/03/10 19:29:16 - mmengine - INFO - Epoch(val) [4][4720/6282] eta: 0:01:48 time: 0.0621 data_time: 0.0024 memory: 3023 2023/03/10 19:29:17 - mmengine - INFO - Epoch(val) [4][4740/6282] eta: 0:01:47 time: 0.0536 data_time: 0.0031 memory: 2609 2023/03/10 19:29:19 - mmengine - INFO - Epoch(val) [4][4760/6282] eta: 0:01:45 time: 0.0693 data_time: 0.0187 memory: 2609 2023/03/10 19:29:20 - mmengine - INFO - Epoch(val) [4][4780/6282] eta: 0:01:44 time: 0.0589 data_time: 0.0065 memory: 2609 2023/03/10 19:29:21 - mmengine - INFO - Epoch(val) [4][4800/6282] eta: 0:01:42 time: 0.0775 data_time: 0.0260 memory: 2609 2023/03/10 19:29:23 - mmengine - INFO - Epoch(val) [4][4820/6282] eta: 0:01:41 time: 0.0618 data_time: 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2934 2023/03/10 19:29:35 - mmengine - INFO - Epoch(val) [4][5000/6282] eta: 0:01:28 time: 0.0635 data_time: 0.0023 memory: 2934 2023/03/10 19:29:36 - mmengine - INFO - Epoch(val) [4][5020/6282] eta: 0:01:27 time: 0.0552 data_time: 0.0034 memory: 2934 2023/03/10 19:29:38 - mmengine - INFO - Epoch(val) [4][5040/6282] eta: 0:01:26 time: 0.0653 data_time: 0.0188 memory: 2397 2023/03/10 19:29:39 - mmengine - INFO - Epoch(val) [4][5060/6282] eta: 0:01:24 time: 0.0637 data_time: 0.0163 memory: 2397 2023/03/10 19:29:41 - mmengine - INFO - Epoch(val) [4][5080/6282] eta: 0:01:23 time: 0.1230 data_time: 0.0761 memory: 2397 2023/03/10 19:29:42 - mmengine - INFO - Epoch(val) [4][5100/6282] eta: 0:01:22 time: 0.0622 data_time: 0.0153 memory: 2397 2023/03/10 19:29:44 - mmengine - INFO - Epoch(val) [4][5120/6282] eta: 0:01:20 time: 0.0681 data_time: 0.0232 memory: 2397 2023/03/10 19:29:45 - mmengine - INFO - Epoch(val) [4][5140/6282] eta: 0:01:19 time: 0.0579 data_time: 0.0109 memory: 2396 2023/03/10 19:29:46 - mmengine - INFO - Epoch(val) [4][5160/6282] eta: 0:01:17 time: 0.0644 data_time: 0.0169 memory: 2396 2023/03/10 19:29:48 - mmengine - INFO - Epoch(val) [4][5180/6282] eta: 0:01:16 time: 0.0612 data_time: 0.0148 memory: 2396 2023/03/10 19:29:49 - mmengine - INFO - Epoch(val) [4][5200/6282] eta: 0:01:15 time: 0.0698 data_time: 0.0224 memory: 2396 2023/03/10 19:29:50 - mmengine - INFO - Epoch(val) [4][5220/6282] eta: 0:01:13 time: 0.0609 data_time: 0.0137 memory: 2396 2023/03/10 19:29:51 - mmengine - INFO - Epoch(val) [4][5240/6282] eta: 0:01:12 time: 0.0662 data_time: 0.0196 memory: 2396 2023/03/10 19:29:53 - mmengine - INFO - Epoch(val) [4][5260/6282] eta: 0:01:10 time: 0.0606 data_time: 0.0122 memory: 2396 2023/03/10 19:29:54 - mmengine - INFO - Epoch(val) [4][5280/6282] eta: 0:01:09 time: 0.0683 data_time: 0.0224 memory: 2396 2023/03/10 19:29:55 - mmengine - INFO - Epoch(val) [4][5300/6282] eta: 0:01:07 time: 0.0605 data_time: 0.0138 memory: 2396 2023/03/10 19:29:57 - mmengine - INFO - Epoch(val) [4][5320/6282] eta: 0:01:06 time: 0.0669 data_time: 0.0211 memory: 2396 2023/03/10 19:29:58 - mmengine - INFO - Epoch(val) [4][5340/6282] eta: 0:01:05 time: 0.0596 data_time: 0.0131 memory: 2396 2023/03/10 19:29:59 - mmengine - INFO - Epoch(val) [4][5360/6282] eta: 0:01:03 time: 0.0687 data_time: 0.0217 memory: 2396 2023/03/10 19:30:00 - mmengine - INFO - Epoch(val) [4][5380/6282] eta: 0:01:02 time: 0.0624 data_time: 0.0177 memory: 2396 2023/03/10 19:30:02 - mmengine - INFO - Epoch(val) [4][5400/6282] eta: 0:01:01 time: 0.0831 data_time: 0.0347 memory: 2396 2023/03/10 19:30:03 - mmengine - INFO - Epoch(val) [4][5420/6282] eta: 0:00:59 time: 0.0652 data_time: 0.0178 memory: 2396 2023/03/10 19:30:05 - mmengine - INFO - Epoch(val) [4][5440/6282] eta: 0:00:58 time: 0.0653 data_time: 0.0179 memory: 2396 2023/03/10 19:30:06 - mmengine - INFO - Epoch(val) [4][5460/6282] eta: 0:00:56 time: 0.0589 data_time: 0.0136 memory: 2396 2023/03/10 19:30:07 - mmengine - INFO 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eta: 0:00:33 time: 0.0696 data_time: 0.0164 memory: 2686 2023/03/10 19:30:30 - mmengine - INFO - Epoch(val) [4][5820/6282] eta: 0:00:31 time: 0.0615 data_time: 0.0086 memory: 2686 2023/03/10 19:30:31 - mmengine - INFO - Epoch(val) [4][5840/6282] eta: 0:00:30 time: 0.0642 data_time: 0.0150 memory: 2608 2023/03/10 19:30:32 - mmengine - INFO - Epoch(val) [4][5860/6282] eta: 0:00:29 time: 0.0601 data_time: 0.0100 memory: 2608 2023/03/10 19:30:34 - mmengine - INFO - Epoch(val) [4][5880/6282] eta: 0:00:27 time: 0.0703 data_time: 0.0189 memory: 2608 2023/03/10 19:30:35 - mmengine - INFO - Epoch(val) [4][5900/6282] eta: 0:00:26 time: 0.0617 data_time: 0.0121 memory: 2608 2023/03/10 19:30:36 - mmengine - INFO - Epoch(val) [4][5920/6282] eta: 0:00:24 time: 0.0655 data_time: 0.0168 memory: 2608 2023/03/10 19:30:37 - mmengine - INFO - Epoch(val) [4][5940/6282] eta: 0:00:23 time: 0.0587 data_time: 0.0111 memory: 2396 2023/03/10 19:30:39 - mmengine - INFO - Epoch(val) [4][5960/6282] eta: 0:00:22 time: 0.0716 data_time: 0.0228 memory: 2396 2023/03/10 19:30:40 - mmengine - INFO - Epoch(val) [4][5980/6282] eta: 0:00:20 time: 0.0593 data_time: 0.0140 memory: 2396 2023/03/10 19:30:42 - mmengine - INFO - Epoch(val) [4][6000/6282] eta: 0:00:19 time: 0.0889 data_time: 0.0329 memory: 2934 2023/03/10 19:30:43 - mmengine - INFO - Epoch(val) [4][6020/6282] eta: 0:00:18 time: 0.0637 data_time: 0.0019 memory: 2934 2023/03/10 19:30:44 - mmengine - INFO - Epoch(val) [4][6040/6282] eta: 0:00:16 time: 0.0652 data_time: 0.0058 memory: 2934 2023/03/10 19:30:46 - mmengine - INFO - Epoch(val) [4][6060/6282] eta: 0:00:15 time: 0.0638 data_time: 0.0022 memory: 2934 2023/03/10 19:30:47 - mmengine - INFO - Epoch(val) [4][6080/6282] eta: 0:00:13 time: 0.0644 data_time: 0.0029 memory: 2934 2023/03/10 19:30:48 - mmengine - INFO - Epoch(val) [4][6100/6282] eta: 0:00:12 time: 0.0643 data_time: 0.0026 memory: 2934 2023/03/10 19:30:49 - mmengine - INFO - Epoch(val) [4][6120/6282] eta: 0:00:11 time: 0.0655 data_time: 0.0032 memory: 2934 2023/03/10 19:30:51 - mmengine - INFO - Epoch(val) [4][6140/6282] eta: 0:00:09 time: 0.0638 data_time: 0.0030 memory: 2934 2023/03/10 19:30:52 - mmengine - INFO - Epoch(val) [4][6160/6282] eta: 0:00:08 time: 0.0647 data_time: 0.0028 memory: 2934 2023/03/10 19:30:53 - mmengine - INFO - Epoch(val) [4][6180/6282] eta: 0:00:07 time: 0.0693 data_time: 0.0094 memory: 2934 2023/03/10 19:30:55 - mmengine - INFO - Epoch(val) [4][6200/6282] eta: 0:00:05 time: 0.0649 data_time: 0.0056 memory: 2934 2023/03/10 19:30:56 - mmengine - INFO - Epoch(val) [4][6220/6282] eta: 0:00:04 time: 0.0655 data_time: 0.0062 memory: 2934 2023/03/10 19:30:57 - mmengine - INFO - Epoch(val) [4][6240/6282] eta: 0:00:02 time: 0.0635 data_time: 0.0030 memory: 2934 2023/03/10 19:30:58 - mmengine - INFO - Epoch(val) [4][6260/6282] eta: 0:00:01 time: 0.0613 data_time: 0.0018 memory: 2934 2023/03/10 19:31:00 - mmengine - INFO - Epoch(val) [4][6280/6282] eta: 0:00:00 time: 0.0607 data_time: 0.0017 memory: 2934 2023/03/10 19:35:25 - mmengine - INFO - Epoch(val) [4][6282/6282] mAP/mAP@0.5IOU: 0.3072 2023/03/10 19:35:25 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_3.pth is removed 2023/03/10 19:35:28 - mmengine - INFO - The best checkpoint with 0.3072 mAP/mAP@0.5IOU at 4 epoch is saved to best_mAP/mAP@0.5IOU_epoch_4.pth. 2023/03/10 19:35:46 - mmengine - INFO - Epoch(train) [5][ 20/4451] lr: 2.4375e-06 eta: 13:57:52 time: 0.8904 data_time: 0.4709 memory: 51970 grad_norm: 0.1371 loss: 0.0586 recall@thr=0.5: 0.7523 prec@thr=0.5: 0.7523 recall@top3: 0.9054 prec@top3: 0.7207 recall@top5: 0.9797 prec@top5: 0.4811 loss_action_cls: 0.0586 2023/03/10 19:35:59 - mmengine - INFO - Epoch(train) [5][ 40/4451] lr: 2.4399e-06 eta: 13:57:34 time: 0.6619 data_time: 0.2386 memory: 51970 grad_norm: 0.1398 loss: 0.0577 recall@thr=0.5: 0.5138 prec@thr=0.5: 0.6264 recall@top3: 0.7420 prec@top3: 0.5287 recall@top5: 0.8667 prec@top5: 0.3724 loss_action_cls: 0.0577 2023/03/10 19:36:13 - mmengine - INFO - Epoch(train) [5][ 60/4451] lr: 2.4423e-06 eta: 13:57:18 time: 0.6847 data_time: 0.2597 memory: 51970 grad_norm: 0.1438 loss: 0.0620 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6012 recall@top3: 0.7440 prec@top3: 0.5952 recall@top5: 0.8929 prec@top5: 0.4571 loss_action_cls: 0.0620 2023/03/10 19:36:27 - mmengine - INFO - Epoch(train) [5][ 80/4451] lr: 2.4447e-06 eta: 13:57:05 time: 0.7153 data_time: 0.2945 memory: 51970 grad_norm: 0.1397 loss: 0.0640 recall@thr=0.5: 0.8204 prec@thr=0.5: 0.8148 recall@top3: 0.8778 prec@top3: 0.7778 recall@top5: 0.9778 prec@top5: 0.5333 loss_action_cls: 0.0640 2023/03/10 19:36:41 - mmengine - INFO - Epoch(train) [5][ 100/4451] lr: 2.4471e-06 eta: 13:56:51 time: 0.7118 data_time: 0.2907 memory: 51970 grad_norm: 0.1421 loss: 0.0553 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.8056 recall@top3: 0.8194 prec@top3: 0.6806 recall@top5: 0.8889 prec@top5: 0.4417 loss_action_cls: 0.0553 2023/03/10 19:36:54 - mmengine - INFO - Epoch(train) [5][ 120/4451] lr: 2.4495e-06 eta: 13:56:33 time: 0.6612 data_time: 0.2355 memory: 51970 grad_norm: 0.1400 loss: 0.0532 recall@thr=0.5: 0.7216 prec@thr=0.5: 0.7480 recall@top3: 0.7765 prec@top3: 0.5294 recall@top5: 0.8588 prec@top5: 0.3765 loss_action_cls: 0.0532 2023/03/10 19:37:08 - mmengine - INFO - Epoch(train) [5][ 140/4451] lr: 2.4519e-06 eta: 13:56:16 time: 0.6705 data_time: 0.2412 memory: 51970 grad_norm: 0.1455 loss: 0.0625 recall@thr=0.5: 0.6367 prec@thr=0.5: 0.7000 recall@top3: 0.7567 prec@top3: 0.6667 recall@top5: 0.8900 prec@top5: 0.4880 loss_action_cls: 0.0625 2023/03/10 19:37:24 - mmengine - INFO - Epoch(train) [5][ 160/4451] lr: 2.4543e-06 eta: 13:56:10 time: 0.8059 data_time: 0.3470 memory: 51970 grad_norm: 0.1413 loss: 0.0585 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.6439 recall@top3: 0.8409 prec@top3: 0.5606 recall@top5: 0.8409 prec@top5: 0.3364 loss_action_cls: 0.0585 2023/03/10 19:37:37 - mmengine - INFO - Epoch(train) [5][ 180/4451] lr: 2.4567e-06 eta: 13:55:50 time: 0.6316 data_time: 0.2055 memory: 51970 grad_norm: 0.1438 loss: 0.0495 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6500 recall@top3: 0.8833 prec@top3: 0.5000 recall@top5: 0.8833 prec@top5: 0.3000 loss_action_cls: 0.0495 2023/03/10 19:37:48 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 19:37:51 - mmengine - INFO - Epoch(train) [5][ 200/4451] lr: 2.4591e-06 eta: 13:55:38 time: 0.7347 data_time: 0.2728 memory: 51970 grad_norm: 0.1401 loss: 0.0626 recall@thr=0.5: 0.6343 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: 0.0626 2023/03/10 19:38:05 - mmengine - INFO - Epoch(train) [5][ 220/4451] lr: 2.4615e-06 eta: 13:55:22 time: 0.6747 data_time: 0.1130 memory: 51970 grad_norm: 0.1391 loss: 0.0629 recall@thr=0.5: 0.6580 prec@thr=0.5: 0.6574 recall@top3: 0.8481 prec@top3: 0.5926 recall@top5: 0.9370 prec@top5: 0.4148 loss_action_cls: 0.0629 2023/03/10 19:38:19 - mmengine - INFO - Epoch(train) [5][ 240/4451] lr: 2.4639e-06 eta: 13:55:06 time: 0.6898 data_time: 0.0785 memory: 51970 grad_norm: 0.1453 loss: 0.0642 recall@thr=0.5: 0.4475 prec@thr=0.5: 0.5185 recall@top3: 0.7901 prec@top3: 0.6173 recall@top5: 0.9228 prec@top5: 0.4667 loss_action_cls: 0.0642 2023/03/10 19:38:33 - mmengine - INFO - Epoch(train) [5][ 260/4451] lr: 2.4663e-06 eta: 13:54:55 time: 0.7430 data_time: 0.1948 memory: 51970 grad_norm: 0.1423 loss: 0.0589 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8205 recall@top3: 0.8397 prec@top3: 0.6667 recall@top5: 0.9423 prec@top5: 0.4692 loss_action_cls: 0.0589 2023/03/10 19:38:48 - mmengine - INFO - Epoch(train) [5][ 280/4451] lr: 2.4687e-06 eta: 13:54:41 time: 0.7041 data_time: 0.1092 memory: 51970 grad_norm: 0.1366 loss: 0.0609 recall@thr=0.5: 0.3667 prec@thr=0.5: 0.4600 recall@top3: 0.6200 prec@top3: 0.4267 recall@top5: 0.8600 prec@top5: 0.3680 loss_action_cls: 0.0609 2023/03/10 19:39:01 - mmengine - INFO - Epoch(train) [5][ 300/4451] lr: 2.4711e-06 eta: 13:54:24 time: 0.6755 data_time: 0.0126 memory: 51970 grad_norm: 0.1424 loss: 0.0673 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.7899 recall@top3: 0.8478 prec@top3: 0.6957 recall@top5: 0.9565 prec@top5: 0.4783 loss_action_cls: 0.0673 2023/03/10 19:39:16 - mmengine - INFO - Epoch(train) [5][ 320/4451] lr: 2.4735e-06 eta: 13:54:13 time: 0.7378 data_time: 0.0113 memory: 51970 grad_norm: 0.1373 loss: 0.0558 recall@thr=0.5: 0.6983 prec@thr=0.5: 0.7356 recall@top3: 0.8305 prec@top3: 0.7356 recall@top5: 0.9569 prec@top5: 0.5310 loss_action_cls: 0.0558 2023/03/10 19:39:31 - mmengine - INFO - Epoch(train) [5][ 340/4451] lr: 2.4759e-06 eta: 13:54:03 time: 0.7586 data_time: 0.0134 memory: 51970 grad_norm: 0.1410 loss: 0.0557 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.7778 recall@top3: 0.8810 prec@top3: 0.6825 recall@top5: 0.9841 prec@top5: 0.4667 loss_action_cls: 0.0557 2023/03/10 19:39:47 - mmengine - INFO - Epoch(train) [5][ 360/4451] lr: 2.4783e-06 eta: 13:53:55 time: 0.7897 data_time: 0.0122 memory: 51970 grad_norm: 0.1365 loss: 0.0578 recall@thr=0.5: 0.5290 prec@thr=0.5: 0.7681 recall@top3: 0.8007 prec@top3: 0.6667 recall@top5: 0.8696 prec@top5: 0.4522 loss_action_cls: 0.0578 2023/03/10 19:39:59 - mmengine - INFO - Epoch(train) [5][ 380/4451] lr: 2.4807e-06 eta: 13:53:34 time: 0.6156 data_time: 0.0134 memory: 51970 grad_norm: 0.1471 loss: 0.0524 recall@thr=0.5: 0.5802 prec@thr=0.5: 0.8214 recall@top3: 0.7032 prec@top3: 0.5397 recall@top5: 0.9071 prec@top5: 0.4571 loss_action_cls: 0.0524 2023/03/10 19:40:14 - mmengine - INFO - Epoch(train) [5][ 400/4451] lr: 2.4831e-06 eta: 13:53:23 time: 0.7454 data_time: 0.0116 memory: 51970 grad_norm: 0.1446 loss: 0.0572 recall@thr=0.5: 0.5362 prec@thr=0.5: 0.7391 recall@top3: 0.7174 prec@top3: 0.5942 recall@top5: 0.9783 prec@top5: 0.4696 loss_action_cls: 0.0572 2023/03/10 19:40:28 - mmengine - INFO - Epoch(train) [5][ 420/4451] lr: 2.4855e-06 eta: 13:53:07 time: 0.6882 data_time: 0.0128 memory: 51970 grad_norm: 0.1405 loss: 0.0609 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.5722 recall@top3: 0.6889 prec@top3: 0.4778 recall@top5: 0.8389 prec@top5: 0.3667 loss_action_cls: 0.0609 2023/03/10 19:40:42 - mmengine - INFO - Epoch(train) [5][ 440/4451] lr: 2.4879e-06 eta: 13:52:52 time: 0.6946 data_time: 0.0127 memory: 51970 grad_norm: 0.1370 loss: 0.0579 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7667 recall@top3: 0.9556 prec@top3: 0.6889 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0579 2023/03/10 19:40:57 - mmengine - INFO - Epoch(train) [5][ 460/4451] lr: 2.4903e-06 eta: 13:52:42 time: 0.7497 data_time: 0.0120 memory: 51970 grad_norm: 0.1421 loss: 0.0557 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.8437 recall@top3: 0.8333 prec@top3: 0.5417 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0557 2023/03/10 19:41:11 - mmengine - INFO - Epoch(train) [5][ 480/4451] lr: 2.4927e-06 eta: 13:52:27 time: 0.6935 data_time: 0.0131 memory: 51970 grad_norm: 0.1398 loss: 0.0571 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7130 recall@top3: 0.7824 prec@top3: 0.6296 recall@top5: 0.8750 prec@top5: 0.4444 loss_action_cls: 0.0571 2023/03/10 19:41:24 - mmengine - INFO - Epoch(train) [5][ 500/4451] lr: 2.4951e-06 eta: 13:52:11 time: 0.6833 data_time: 0.0114 memory: 51970 grad_norm: 0.1342 loss: 0.0615 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.7841 recall@top3: 0.7348 prec@top3: 0.7424 recall@top5: 0.8712 prec@top5: 0.5364 loss_action_cls: 0.0615 2023/03/10 19:41:40 - mmengine - INFO - Epoch(train) [5][ 520/4451] lr: 2.4975e-06 eta: 13:52:01 time: 0.7654 data_time: 0.0128 memory: 51970 grad_norm: 0.1398 loss: 0.0594 recall@thr=0.5: 0.5370 prec@thr=0.5: 0.6019 recall@top3: 0.7037 prec@top3: 0.5185 recall@top5: 0.8148 prec@top5: 0.3778 loss_action_cls: 0.0594 2023/03/10 19:41:54 - mmengine - INFO - Epoch(train) [5][ 540/4451] lr: 2.4999e-06 eta: 13:51:47 time: 0.7086 data_time: 0.0118 memory: 51970 grad_norm: 0.1442 loss: 0.0545 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.7000 recall@top3: 0.8500 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4300 loss_action_cls: 0.0545 2023/03/10 19:42:08 - mmengine - INFO - Epoch(train) [5][ 560/4451] lr: 2.5024e-06 eta: 13:51:32 time: 0.6910 data_time: 0.0162 memory: 51970 grad_norm: 0.1476 loss: 0.0727 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6863 recall@top3: 0.8039 prec@top3: 0.5294 recall@top5: 0.8824 prec@top5: 0.3529 loss_action_cls: 0.0727 2023/03/10 19:42:23 - mmengine - INFO - Epoch(train) [5][ 580/4451] lr: 2.5048e-06 eta: 13:51:24 time: 0.7842 data_time: 0.0318 memory: 51970 grad_norm: 0.1448 loss: 0.0547 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7951 recall@top3: 0.8014 prec@top3: 0.7222 recall@top5: 0.9257 prec@top5: 0.5083 loss_action_cls: 0.0547 2023/03/10 19:42:36 - mmengine - INFO - Epoch(train) [5][ 600/4451] lr: 2.5072e-06 eta: 13:51:07 time: 0.6649 data_time: 0.0130 memory: 51970 grad_norm: 0.1461 loss: 0.0636 recall@thr=0.5: 0.5524 prec@thr=0.5: 0.6786 recall@top3: 0.6675 prec@top3: 0.6349 recall@top5: 0.9135 prec@top5: 0.5238 loss_action_cls: 0.0636 2023/03/10 19:42:52 - mmengine - INFO - Epoch(train) [5][ 620/4451] lr: 2.5096e-06 eta: 13:50:57 time: 0.7702 data_time: 0.0117 memory: 51970 grad_norm: 0.1457 loss: 0.0609 recall@thr=0.5: 0.5111 prec@thr=0.5: 0.5667 recall@top3: 0.8000 prec@top3: 0.5111 recall@top5: 0.9111 prec@top5: 0.3600 loss_action_cls: 0.0609 2023/03/10 19:43:05 - mmengine - INFO - Epoch(train) [5][ 640/4451] lr: 2.5120e-06 eta: 13:50:40 time: 0.6675 data_time: 0.0119 memory: 51970 grad_norm: 0.1375 loss: 0.0568 recall@thr=0.5: 0.8046 prec@thr=0.5: 0.7989 recall@top3: 0.9195 prec@top3: 0.6552 recall@top5: 0.9368 prec@top5: 0.4000 loss_action_cls: 0.0568 2023/03/10 19:43:21 - mmengine - INFO - Epoch(train) [5][ 660/4451] lr: 2.5144e-06 eta: 13:50:31 time: 0.7691 data_time: 0.0117 memory: 51970 grad_norm: 0.1491 loss: 0.0541 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.8864 recall@top3: 0.9053 prec@top3: 0.8788 recall@top5: 0.9735 prec@top5: 0.5727 loss_action_cls: 0.0541 2023/03/10 19:43:33 - mmengine - INFO - Epoch(train) [5][ 680/4451] lr: 2.5168e-06 eta: 13:50:12 time: 0.6407 data_time: 0.0128 memory: 51970 grad_norm: 0.1333 loss: 0.0545 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.7812 recall@top3: 0.8542 prec@top3: 0.6667 recall@top5: 0.8854 prec@top5: 0.4125 loss_action_cls: 0.0545 2023/03/10 19:43:50 - mmengine - INFO - Epoch(train) [5][ 700/4451] lr: 2.5192e-06 eta: 13:50:06 time: 0.8119 data_time: 0.0124 memory: 51970 grad_norm: 0.1469 loss: 0.0708 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7698 recall@top3: 0.8095 prec@top3: 0.4921 recall@top5: 0.8690 prec@top5: 0.3238 loss_action_cls: 0.0708 2023/03/10 19:44:08 - mmengine - INFO - Epoch(train) [5][ 720/4451] lr: 2.5216e-06 eta: 13:50:06 time: 0.8959 data_time: 0.0130 memory: 51970 grad_norm: 0.1468 loss: 0.0601 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6136 recall@top3: 0.7023 prec@top3: 0.6667 recall@top5: 0.9205 prec@top5: 0.5364 loss_action_cls: 0.0601 2023/03/10 19:44:21 - mmengine - INFO - Epoch(train) [5][ 740/4451] lr: 2.5240e-06 eta: 13:49:51 time: 0.6925 data_time: 0.0118 memory: 51970 grad_norm: 0.1425 loss: 0.0573 recall@thr=0.5: 0.7509 prec@thr=0.5: 0.7684 recall@top3: 0.8351 prec@top3: 0.7895 recall@top5: 0.9175 prec@top5: 0.5368 loss_action_cls: 0.0573 2023/03/10 19:44:36 - mmengine - INFO - Epoch(train) [5][ 760/4451] lr: 2.5264e-06 eta: 13:49:39 time: 0.7332 data_time: 0.0135 memory: 51970 grad_norm: 0.1431 loss: 0.0647 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.8077 recall@top3: 0.8846 prec@top3: 0.5641 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0647 2023/03/10 19:44:50 - mmengine - INFO - Epoch(train) [5][ 780/4451] lr: 2.5288e-06 eta: 13:49:25 time: 0.7168 data_time: 0.0116 memory: 51970 grad_norm: 0.1400 loss: 0.0487 recall@thr=0.5: 0.4761 prec@thr=0.5: 0.5942 recall@top3: 0.7043 prec@top3: 0.5942 recall@top5: 0.8594 prec@top5: 0.4522 loss_action_cls: 0.0487 2023/03/10 19:45:05 - mmengine - INFO - Epoch(train) [5][ 800/4451] lr: 2.5312e-06 eta: 13:49:11 time: 0.7023 data_time: 0.0178 memory: 51970 grad_norm: 0.1490 loss: 0.0593 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7632 recall@top3: 0.7807 prec@top3: 0.6667 recall@top5: 0.8465 prec@top5: 0.4526 loss_action_cls: 0.0593 2023/03/10 19:45:19 - mmengine - INFO - Epoch(train) [5][ 820/4451] lr: 2.5336e-06 eta: 13:48:58 time: 0.7288 data_time: 0.0129 memory: 51970 grad_norm: 0.1393 loss: 0.0603 recall@thr=0.5: 0.7746 prec@thr=0.5: 0.8032 recall@top3: 0.8270 prec@top3: 0.7619 recall@top5: 0.9254 prec@top5: 0.5238 loss_action_cls: 0.0603 2023/03/10 19:45:32 - mmengine - INFO - Epoch(train) [5][ 840/4451] lr: 2.5360e-06 eta: 13:48:40 time: 0.6535 data_time: 0.0124 memory: 51970 grad_norm: 0.1400 loss: 0.0623 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.7955 recall@top3: 0.7008 prec@top3: 0.6212 recall@top5: 0.8636 prec@top5: 0.4818 loss_action_cls: 0.0623 2023/03/10 19:45:48 - mmengine - INFO - Epoch(train) [5][ 860/4451] lr: 2.5384e-06 eta: 13:48:33 time: 0.7924 data_time: 0.0134 memory: 51970 grad_norm: 0.1391 loss: 0.0589 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7202 recall@top3: 0.8452 prec@top3: 0.5714 recall@top5: 0.9286 prec@top5: 0.3857 loss_action_cls: 0.0589 2023/03/10 19:46:03 - mmengine - INFO - Epoch(train) [5][ 880/4451] lr: 2.5408e-06 eta: 13:48:20 time: 0.7263 data_time: 0.0708 memory: 51970 grad_norm: 0.1391 loss: 0.0582 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7544 recall@top3: 0.7588 prec@top3: 0.5965 recall@top5: 0.9123 prec@top5: 0.4421 loss_action_cls: 0.0582 2023/03/10 19:46:17 - mmengine - INFO - Epoch(train) [5][ 900/4451] lr: 2.5432e-06 eta: 13:48:09 time: 0.7479 data_time: 0.0119 memory: 51970 grad_norm: 0.1363 loss: 0.0614 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.6923 recall@top3: 0.9423 prec@top3: 0.7179 recall@top5: 0.9551 prec@top5: 0.4462 loss_action_cls: 0.0614 2023/03/10 19:46:32 - mmengine - INFO - Epoch(train) [5][ 920/4451] lr: 2.5456e-06 eta: 13:47:58 time: 0.7461 data_time: 0.0187 memory: 51970 grad_norm: 0.1341 loss: 0.0560 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8889 recall@top3: 0.9074 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4333 loss_action_cls: 0.0560 2023/03/10 19:46:47 - mmengine - INFO - Epoch(train) [5][ 940/4451] lr: 2.5480e-06 eta: 13:47:45 time: 0.7277 data_time: 0.0116 memory: 51970 grad_norm: 0.1415 loss: 0.0561 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6667 recall@top3: 0.9405 prec@top3: 0.7619 recall@top5: 0.9405 prec@top5: 0.4571 loss_action_cls: 0.0561 2023/03/10 19:47:00 - mmengine - INFO - Epoch(train) [5][ 960/4451] lr: 2.5504e-06 eta: 13:47:28 time: 0.6696 data_time: 0.0477 memory: 51970 grad_norm: 0.1425 loss: 0.0643 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.6667 recall@top3: 0.7465 prec@top3: 0.7361 recall@top5: 0.8958 prec@top5: 0.5333 loss_action_cls: 0.0643 2023/03/10 19:47:17 - mmengine - INFO - Epoch(train) [5][ 980/4451] lr: 2.5528e-06 eta: 13:47:25 time: 0.8558 data_time: 0.0321 memory: 51970 grad_norm: 0.1428 loss: 0.0636 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.7632 recall@top3: 0.8772 prec@top3: 0.5789 recall@top5: 0.9825 prec@top5: 0.4105 loss_action_cls: 0.0636 2023/03/10 19:47:30 - mmengine - INFO - Epoch(train) [5][1000/4451] lr: 2.5552e-06 eta: 13:47:06 time: 0.6370 data_time: 0.0951 memory: 51970 grad_norm: 0.1384 loss: 0.0642 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7632 recall@top3: 0.8904 prec@top3: 0.5439 recall@top5: 0.9298 prec@top5: 0.3474 loss_action_cls: 0.0642 2023/03/10 19:47:44 - mmengine - INFO - Epoch(train) [5][1020/4451] lr: 2.5576e-06 eta: 13:46:50 time: 0.6799 data_time: 0.1057 memory: 51970 grad_norm: 0.1426 loss: 0.0635 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6667 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.9792 prec@top5: 0.4625 loss_action_cls: 0.0635 2023/03/10 19:47:57 - mmengine - INFO - Epoch(train) [5][1040/4451] lr: 2.5600e-06 eta: 13:46:31 time: 0.6481 data_time: 0.0405 memory: 51970 grad_norm: 0.1419 loss: 0.0613 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7857 recall@top3: 0.8810 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.3429 loss_action_cls: 0.0613 2023/03/10 19:48:13 - mmengine - INFO - Epoch(train) [5][1060/4451] lr: 2.5624e-06 eta: 13:46:26 time: 0.8242 data_time: 0.0403 memory: 51970 grad_norm: 0.1385 loss: 0.0520 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8542 recall@top3: 0.8542 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0520 2023/03/10 19:48:27 - mmengine - INFO - Epoch(train) [5][1080/4451] lr: 2.5648e-06 eta: 13:46:09 time: 0.6665 data_time: 0.0121 memory: 51970 grad_norm: 0.1459 loss: 0.0667 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8611 recall@top3: 0.8241 prec@top3: 0.6111 recall@top5: 0.8796 prec@top5: 0.4000 loss_action_cls: 0.0667 2023/03/10 19:48:41 - mmengine - INFO - Epoch(train) [5][1100/4451] lr: 2.5672e-06 eta: 13:45:55 time: 0.7129 data_time: 0.0116 memory: 51970 grad_norm: 0.1394 loss: 0.0601 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6667 recall@top3: 0.7500 prec@top3: 0.5965 recall@top5: 0.9474 prec@top5: 0.4632 loss_action_cls: 0.0601 2023/03/10 19:48:54 - mmengine - INFO - Epoch(train) [5][1120/4451] lr: 2.5696e-06 eta: 13:45:36 time: 0.6340 data_time: 0.0231 memory: 51970 grad_norm: 0.1513 loss: 0.0528 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6786 recall@top3: 0.7857 prec@top3: 0.5000 recall@top5: 0.8214 prec@top5: 0.3143 loss_action_cls: 0.0528 2023/03/10 19:49:09 - mmengine - INFO - Epoch(train) [5][1140/4451] lr: 2.5720e-06 eta: 13:45:26 time: 0.7653 data_time: 0.0126 memory: 51970 grad_norm: 0.1327 loss: 0.0553 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.9042 recall@top3: 0.8083 prec@top3: 0.7000 recall@top5: 0.9833 prec@top5: 0.5200 loss_action_cls: 0.0553 2023/03/10 19:49:23 - mmengine - INFO - Epoch(train) [5][1160/4451] lr: 2.5744e-06 eta: 13:45:12 time: 0.7129 data_time: 0.0122 memory: 51970 grad_norm: 0.1385 loss: 0.0608 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.4917 recall@top3: 0.6458 prec@top3: 0.5167 recall@top5: 0.7125 prec@top5: 0.3500 loss_action_cls: 0.0608 2023/03/10 19:49:39 - mmengine - INFO - Epoch(train) [5][1180/4451] lr: 2.5768e-06 eta: 13:45:05 time: 0.7960 data_time: 0.0128 memory: 51970 grad_norm: 0.1396 loss: 0.0565 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8025 recall@top3: 0.8426 prec@top3: 0.7037 recall@top5: 0.9599 prec@top5: 0.4889 loss_action_cls: 0.0565 2023/03/10 19:49:50 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 19:49:53 - mmengine - INFO - Epoch(train) [5][1200/4451] lr: 2.5792e-06 eta: 13:44:49 time: 0.6926 data_time: 0.0121 memory: 51970 grad_norm: 0.1271 loss: 0.0584 recall@thr=0.5: 0.5787 prec@thr=0.5: 0.7685 recall@top3: 0.6806 prec@top3: 0.6481 recall@top5: 0.8565 prec@top5: 0.4778 loss_action_cls: 0.0584 2023/03/10 19:50:08 - mmengine - INFO - Epoch(train) [5][1220/4451] lr: 2.5816e-06 eta: 13:44:38 time: 0.7479 data_time: 0.0151 memory: 51970 grad_norm: 0.1430 loss: 0.0658 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.5714 recall@top3: 0.7167 prec@top3: 0.5119 recall@top5: 0.8619 prec@top5: 0.3786 loss_action_cls: 0.0658 2023/03/10 19:50:23 - mmengine - INFO - Epoch(train) [5][1240/4451] lr: 2.5840e-06 eta: 13:44:27 time: 0.7424 data_time: 0.0192 memory: 51970 grad_norm: 0.1407 loss: 0.0507 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.8611 recall@top3: 0.8571 prec@top3: 0.7302 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0507 2023/03/10 19:50:37 - mmengine - INFO - Epoch(train) [5][1260/4451] lr: 2.5864e-06 eta: 13:44:13 time: 0.7055 data_time: 0.0128 memory: 51970 grad_norm: 0.1363 loss: 0.0605 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7381 recall@top3: 0.8770 prec@top3: 0.7302 recall@top5: 0.9841 prec@top5: 0.4857 loss_action_cls: 0.0605 2023/03/10 19:50:50 - mmengine - INFO - Epoch(train) [5][1280/4451] lr: 2.5888e-06 eta: 13:43:56 time: 0.6753 data_time: 0.0372 memory: 51970 grad_norm: 0.1462 loss: 0.0601 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.6667 recall@top3: 0.6375 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.5250 loss_action_cls: 0.0601 2023/03/10 19:51:07 - mmengine - INFO - Epoch(train) [5][1300/4451] lr: 2.5912e-06 eta: 13:43:51 time: 0.8284 data_time: 0.1989 memory: 51970 grad_norm: 0.1448 loss: 0.0650 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.6701 recall@top3: 0.8576 prec@top3: 0.6528 recall@top5: 0.9757 prec@top5: 0.4417 loss_action_cls: 0.0650 2023/03/10 19:51:21 - mmengine - INFO - Epoch(train) [5][1320/4451] lr: 2.5936e-06 eta: 13:43:35 time: 0.6834 data_time: 0.1718 memory: 51970 grad_norm: 0.1425 loss: 0.0591 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.7464 recall@top3: 0.7609 prec@top3: 0.6812 recall@top5: 0.9565 prec@top5: 0.5043 loss_action_cls: 0.0591 2023/03/10 19:51:35 - mmengine - INFO - Epoch(train) [5][1340/4451] lr: 2.5960e-06 eta: 13:43:22 time: 0.7237 data_time: 0.2788 memory: 51970 grad_norm: 0.1436 loss: 0.0584 recall@thr=0.5: 0.6897 prec@thr=0.5: 0.7011 recall@top3: 0.7845 prec@top3: 0.5862 recall@top5: 0.8477 prec@top5: 0.3931 loss_action_cls: 0.0584 2023/03/10 19:51:48 - mmengine - INFO - Epoch(train) [5][1360/4451] lr: 2.5984e-06 eta: 13:43:03 time: 0.6465 data_time: 0.1988 memory: 51970 grad_norm: 0.1411 loss: 0.0552 recall@thr=0.5: 0.5885 prec@thr=0.5: 0.7396 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.9427 prec@top5: 0.4375 loss_action_cls: 0.0552 2023/03/10 19:52:02 - mmengine - INFO - Epoch(train) [5][1380/4451] lr: 2.6008e-06 eta: 13:42:50 time: 0.7199 data_time: 0.2516 memory: 51970 grad_norm: 0.1466 loss: 0.0480 recall@thr=0.5: 0.5568 prec@thr=0.5: 0.6288 recall@top3: 0.7689 prec@top3: 0.6667 recall@top5: 0.9848 prec@top5: 0.5182 loss_action_cls: 0.0480 2023/03/10 19:52:17 - mmengine - INFO - Epoch(train) [5][1400/4451] lr: 2.6032e-06 eta: 13:42:37 time: 0.7210 data_time: 0.2343 memory: 51970 grad_norm: 0.1381 loss: 0.0612 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7333 recall@top3: 0.8750 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0612 2023/03/10 19:52:31 - mmengine - INFO - Epoch(train) [5][1420/4451] lr: 2.6056e-06 eta: 13:42:23 time: 0.7113 data_time: 0.1794 memory: 51970 grad_norm: 0.1422 loss: 0.0561 recall@thr=0.5: 0.8077 prec@thr=0.5: 0.8077 recall@top3: 0.8462 prec@top3: 0.5897 recall@top5: 0.9231 prec@top5: 0.4000 loss_action_cls: 0.0561 2023/03/10 19:52:44 - mmengine - INFO - Epoch(train) [5][1440/4451] lr: 2.6080e-06 eta: 13:42:05 time: 0.6515 data_time: 0.0253 memory: 51970 grad_norm: 0.1422 loss: 0.0522 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7857 recall@top3: 0.7976 prec@top3: 0.5476 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0522 2023/03/10 19:52:58 - mmengine - INFO - Epoch(train) [5][1460/4451] lr: 2.6104e-06 eta: 13:41:51 time: 0.7067 data_time: 0.0571 memory: 51970 grad_norm: 0.1391 loss: 0.0545 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7000 recall@top3: 0.7532 prec@top3: 0.6923 recall@top5: 0.8878 prec@top5: 0.5077 loss_action_cls: 0.0545 2023/03/10 19:53:10 - mmengine - INFO - Epoch(train) [5][1480/4451] lr: 2.6128e-06 eta: 13:41:30 time: 0.6150 data_time: 0.1387 memory: 51970 grad_norm: 0.1414 loss: 0.0576 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7143 recall@top3: 0.7619 prec@top3: 0.5238 recall@top5: 0.9048 prec@top5: 0.4000 loss_action_cls: 0.0576 2023/03/10 19:53:25 - mmengine - INFO - Epoch(train) [5][1500/4451] lr: 2.6152e-06 eta: 13:41:18 time: 0.7366 data_time: 0.3043 memory: 51970 grad_norm: 0.1392 loss: 0.0558 recall@thr=0.5: 0.3700 prec@thr=0.5: 0.6000 recall@top3: 0.7433 prec@top3: 0.5733 recall@top5: 0.8800 prec@top5: 0.4240 loss_action_cls: 0.0558 2023/03/10 19:53:38 - mmengine - INFO - Epoch(train) [5][1520/4451] lr: 2.6176e-06 eta: 13:40:58 time: 0.6286 data_time: 0.2010 memory: 51970 grad_norm: 0.1421 loss: 0.0602 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.6367 recall@top3: 0.8017 prec@top3: 0.5667 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0602 2023/03/10 19:53:52 - mmengine - INFO - Epoch(train) [5][1540/4451] lr: 2.6200e-06 eta: 13:40:44 time: 0.6973 data_time: 0.2721 memory: 51970 grad_norm: 0.1423 loss: 0.0615 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.6987 recall@top3: 0.8269 prec@top3: 0.6923 recall@top5: 0.9551 prec@top5: 0.5000 loss_action_cls: 0.0615 2023/03/10 19:54:03 - mmengine - INFO - Epoch(train) [5][1560/4451] lr: 2.6225e-06 eta: 13:40:20 time: 0.5756 data_time: 0.1497 memory: 51970 grad_norm: 0.1491 loss: 0.0638 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6375 recall@top3: 0.7250 prec@top3: 0.4500 recall@top5: 0.8083 prec@top5: 0.3100 loss_action_cls: 0.0638 2023/03/10 19:54:15 - mmengine - INFO - Epoch(train) [5][1580/4451] lr: 2.6249e-06 eta: 13:39:58 time: 0.6021 data_time: 0.1797 memory: 51970 grad_norm: 0.1432 loss: 0.0546 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6562 recall@top3: 0.7750 prec@top3: 0.7500 recall@top5: 0.9417 prec@top5: 0.5333 loss_action_cls: 0.0546 2023/03/10 19:54:28 - mmengine - INFO - Epoch(train) [5][1600/4451] lr: 2.6273e-06 eta: 13:39:38 time: 0.6230 data_time: 0.1988 memory: 51970 grad_norm: 0.1359 loss: 0.0549 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.6840 recall@top3: 0.7444 prec@top3: 0.5694 recall@top5: 0.8583 prec@top5: 0.3833 loss_action_cls: 0.0549 2023/03/10 19:54:43 - mmengine - INFO - Epoch(train) [5][1620/4451] lr: 2.6297e-06 eta: 13:39:29 time: 0.7717 data_time: 0.3393 memory: 51970 grad_norm: 0.1400 loss: 0.0557 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8519 recall@top3: 0.8056 prec@top3: 0.6296 recall@top5: 0.8704 prec@top5: 0.4222 loss_action_cls: 0.0557 2023/03/10 19:54:53 - mmengine - INFO - Epoch(train) [5][1640/4451] lr: 2.6321e-06 eta: 13:38:58 time: 0.4737 data_time: 0.0483 memory: 51970 grad_norm: 0.1334 loss: 0.0536 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7593 recall@top3: 0.8333 prec@top3: 0.5679 recall@top5: 0.9630 prec@top5: 0.4074 loss_action_cls: 0.0536 2023/03/10 19:55:06 - mmengine - INFO - Epoch(train) [5][1660/4451] lr: 2.6345e-06 eta: 13:38:43 time: 0.6883 data_time: 0.2620 memory: 51970 grad_norm: 0.1417 loss: 0.0590 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7870 recall@top3: 0.8148 prec@top3: 0.6296 recall@top5: 0.9167 prec@top5: 0.4111 loss_action_cls: 0.0590 2023/03/10 19:55:18 - mmengine - INFO - Epoch(train) [5][1680/4451] lr: 2.6369e-06 eta: 13:38:19 time: 0.5738 data_time: 0.1482 memory: 51970 grad_norm: 0.1384 loss: 0.0548 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7000 recall@top3: 0.9500 prec@top3: 0.6500 recall@top5: 1.0000 prec@top5: 0.4200 loss_action_cls: 0.0548 2023/03/10 19:55:32 - mmengine - INFO - Epoch(train) [5][1700/4451] lr: 2.6393e-06 eta: 13:38:06 time: 0.7209 data_time: 0.2940 memory: 51970 grad_norm: 0.1464 loss: 0.0539 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.5815 recall@top3: 0.6759 prec@top3: 0.5309 recall@top5: 0.7685 prec@top5: 0.3778 loss_action_cls: 0.0539 2023/03/10 19:55:43 - mmengine - INFO - Epoch(train) [5][1720/4451] lr: 2.6417e-06 eta: 13:37:39 time: 0.5241 data_time: 0.0997 memory: 51970 grad_norm: 0.1401 loss: 0.0614 recall@thr=0.5: 0.6123 prec@thr=0.5: 0.8043 recall@top3: 0.8442 prec@top3: 0.6667 recall@top5: 0.9420 prec@top5: 0.4609 loss_action_cls: 0.0614 2023/03/10 19:55:57 - mmengine - INFO - Epoch(train) [5][1740/4451] lr: 2.6441e-06 eta: 13:37:26 time: 0.7208 data_time: 0.2870 memory: 51970 grad_norm: 0.1356 loss: 0.0559 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8333 recall@top3: 0.9111 prec@top3: 0.6444 recall@top5: 0.9778 prec@top5: 0.4133 loss_action_cls: 0.0559 2023/03/10 19:56:09 - mmengine - INFO - Epoch(train) [5][1760/4451] lr: 2.6465e-06 eta: 13:37:03 time: 0.5767 data_time: 0.1529 memory: 51970 grad_norm: 0.1386 loss: 0.0696 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.5185 recall@top3: 0.8241 prec@top3: 0.6111 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0696 2023/03/10 19:56:23 - mmengine - INFO - Epoch(train) [5][1780/4451] lr: 2.6489e-06 eta: 13:36:48 time: 0.6959 data_time: 0.2722 memory: 51970 grad_norm: 0.1391 loss: 0.0602 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.7500 recall@top3: 0.8141 prec@top3: 0.7308 recall@top5: 0.9551 prec@top5: 0.5000 loss_action_cls: 0.0602 2023/03/10 19:56:35 - mmengine - INFO - Epoch(train) [5][1800/4451] lr: 2.6513e-06 eta: 13:36:28 time: 0.6193 data_time: 0.1667 memory: 51970 grad_norm: 0.1361 loss: 0.0570 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.4537 recall@top3: 0.7222 prec@top3: 0.4630 recall@top5: 0.8333 prec@top5: 0.3222 loss_action_cls: 0.0570 2023/03/10 19:56:49 - mmengine - INFO - Epoch(train) [5][1820/4451] lr: 2.6537e-06 eta: 13:36:11 time: 0.6777 data_time: 0.1650 memory: 51970 grad_norm: 0.1394 loss: 0.0518 recall@thr=0.5: 0.6284 prec@thr=0.5: 0.7598 recall@top3: 0.8353 prec@top3: 0.6275 recall@top5: 0.8882 prec@top5: 0.4235 loss_action_cls: 0.0518 2023/03/10 19:57:02 - mmengine - INFO - Epoch(train) [5][1840/4451] lr: 2.6561e-06 eta: 13:35:56 time: 0.6884 data_time: 0.0824 memory: 51970 grad_norm: 0.1386 loss: 0.0576 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.7583 recall@top3: 0.7333 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4600 loss_action_cls: 0.0576 2023/03/10 19:57:17 - mmengine - INFO - Epoch(train) [5][1860/4451] lr: 2.6585e-06 eta: 13:35:43 time: 0.7142 data_time: 0.0132 memory: 51970 grad_norm: 0.1389 loss: 0.0546 recall@thr=0.5: 0.5312 prec@thr=0.5: 0.7708 recall@top3: 0.7604 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0546 2023/03/10 19:57:30 - mmengine - INFO - Epoch(train) [5][1880/4451] lr: 2.6609e-06 eta: 13:35:25 time: 0.6631 data_time: 0.0116 memory: 51970 grad_norm: 0.1429 loss: 0.0565 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.6439 recall@top3: 0.6515 prec@top3: 0.5606 recall@top5: 0.7576 prec@top5: 0.4182 loss_action_cls: 0.0565 2023/03/10 19:57:43 - mmengine - INFO - Epoch(train) [5][1900/4451] lr: 2.6633e-06 eta: 13:35:06 time: 0.6321 data_time: 0.0129 memory: 51970 grad_norm: 0.1401 loss: 0.0571 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.5079 recall@top3: 0.6167 prec@top3: 0.4921 recall@top5: 0.7976 prec@top5: 0.4190 loss_action_cls: 0.0571 2023/03/10 19:57:56 - mmengine - INFO - Epoch(train) [5][1920/4451] lr: 2.6657e-06 eta: 13:34:50 time: 0.6695 data_time: 0.0125 memory: 51970 grad_norm: 0.1347 loss: 0.0563 recall@thr=0.5: 0.5606 prec@thr=0.5: 0.6970 recall@top3: 0.7348 prec@top3: 0.5303 recall@top5: 0.9394 prec@top5: 0.4091 loss_action_cls: 0.0563 2023/03/10 19:58:08 - mmengine - INFO - Epoch(train) [5][1940/4451] lr: 2.6681e-06 eta: 13:34:29 time: 0.6190 data_time: 0.0122 memory: 51970 grad_norm: 0.1360 loss: 0.0575 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.6538 recall@top3: 0.7949 prec@top3: 0.5385 recall@top5: 0.8397 prec@top5: 0.3462 loss_action_cls: 0.0575 2023/03/10 19:58:21 - mmengine - INFO - Epoch(train) [5][1960/4451] lr: 2.6705e-06 eta: 13:34:10 time: 0.6314 data_time: 0.0133 memory: 51970 grad_norm: 0.1432 loss: 0.0565 recall@thr=0.5: 0.4062 prec@thr=0.5: 0.7708 recall@top3: 0.7812 prec@top3: 0.6042 recall@top5: 0.9219 prec@top5: 0.4375 loss_action_cls: 0.0565 2023/03/10 19:58:34 - mmengine - INFO - Epoch(train) [5][1980/4451] lr: 2.6729e-06 eta: 13:33:52 time: 0.6454 data_time: 0.0130 memory: 51970 grad_norm: 0.1390 loss: 0.0454 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.5417 recall@top3: 0.7750 prec@top3: 0.4333 recall@top5: 0.8000 prec@top5: 0.2700 loss_action_cls: 0.0454 2023/03/10 19:58:45 - mmengine - INFO - Epoch(train) [5][2000/4451] lr: 2.6753e-06 eta: 13:33:28 time: 0.5656 data_time: 0.0131 memory: 51970 grad_norm: 0.1369 loss: 0.0578 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.8000 recall@top3: 0.7722 prec@top3: 0.6667 recall@top5: 0.8667 prec@top5: 0.4533 loss_action_cls: 0.0578 2023/03/10 19:58:59 - mmengine - INFO - Epoch(train) [5][2020/4451] lr: 2.6777e-06 eta: 13:33:12 time: 0.6756 data_time: 0.0118 memory: 51970 grad_norm: 0.1427 loss: 0.0592 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8125 recall@top3: 0.7969 prec@top3: 0.6667 recall@top5: 0.8438 prec@top5: 0.4250 loss_action_cls: 0.0592 2023/03/10 19:59:12 - mmengine - INFO - Epoch(train) [5][2040/4451] lr: 2.6801e-06 eta: 13:32:56 time: 0.6815 data_time: 0.0137 memory: 51970 grad_norm: 0.1421 loss: 0.0536 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7059 recall@top3: 0.8627 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4235 loss_action_cls: 0.0536 2023/03/10 19:59:27 - mmengine - INFO - Epoch(train) [5][2060/4451] lr: 2.6825e-06 eta: 13:32:42 time: 0.7097 data_time: 0.0118 memory: 51970 grad_norm: 0.1422 loss: 0.0553 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6964 recall@top3: 0.8690 prec@top3: 0.6667 recall@top5: 0.9048 prec@top5: 0.4143 loss_action_cls: 0.0553 2023/03/10 19:59:39 - mmengine - INFO - Epoch(train) [5][2080/4451] lr: 2.6849e-06 eta: 13:32:23 time: 0.6320 data_time: 0.0120 memory: 51970 grad_norm: 0.1378 loss: 0.0539 recall@thr=0.5: 0.7754 prec@thr=0.5: 0.8913 recall@top3: 0.8478 prec@top3: 0.6957 recall@top5: 0.9638 prec@top5: 0.5043 loss_action_cls: 0.0539 2023/03/10 19:59:53 - mmengine - INFO - Epoch(train) [5][2100/4451] lr: 2.6873e-06 eta: 13:32:08 time: 0.6907 data_time: 0.0138 memory: 51970 grad_norm: 0.1383 loss: 0.0596 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.6739 recall@top3: 0.9130 prec@top3: 0.4638 recall@top5: 1.0000 prec@top5: 0.3130 loss_action_cls: 0.0596 2023/03/10 20:00:05 - mmengine - INFO - Epoch(train) [5][2120/4451] lr: 2.6897e-06 eta: 13:31:46 time: 0.5876 data_time: 0.0124 memory: 51970 grad_norm: 0.1379 loss: 0.0542 recall@thr=0.5: 0.6956 prec@thr=0.5: 0.7149 recall@top3: 0.8360 prec@top3: 0.6491 recall@top5: 0.9228 prec@top5: 0.4526 loss_action_cls: 0.0542 2023/03/10 20:00:18 - mmengine - INFO - Epoch(train) [5][2140/4451] lr: 2.6921e-06 eta: 13:31:30 time: 0.6796 data_time: 0.0118 memory: 51970 grad_norm: 0.1410 loss: 0.0572 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.8860 recall@top3: 0.7439 prec@top3: 0.7544 recall@top5: 0.9035 prec@top5: 0.5789 loss_action_cls: 0.0572 2023/03/10 20:00:30 - mmengine - INFO - Epoch(train) [5][2160/4451] lr: 2.6945e-06 eta: 13:31:07 time: 0.5818 data_time: 0.0126 memory: 51970 grad_norm: 0.1379 loss: 0.0568 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7917 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9861 prec@top5: 0.4500 loss_action_cls: 0.0568 2023/03/10 20:00:43 - mmengine - INFO - Epoch(train) [5][2180/4451] lr: 2.6969e-06 eta: 13:30:49 time: 0.6475 data_time: 0.0433 memory: 51970 grad_norm: 0.1451 loss: 0.0545 recall@thr=0.5: 0.7212 prec@thr=0.5: 0.7308 recall@top3: 0.7981 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4615 loss_action_cls: 0.0545 2023/03/10 20:00:53 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 20:00:56 - mmengine - INFO - Epoch(train) [5][2200/4451] lr: 2.6993e-06 eta: 13:30:31 time: 0.6461 data_time: 0.0221 memory: 51970 grad_norm: 0.1414 loss: 0.0516 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.8625 recall@top3: 0.7542 prec@top3: 0.7500 recall@top5: 0.9333 prec@top5: 0.5700 loss_action_cls: 0.0516 2023/03/10 20:01:11 - mmengine - INFO - Epoch(train) [5][2220/4451] lr: 2.7017e-06 eta: 13:30:19 time: 0.7366 data_time: 0.0126 memory: 51970 grad_norm: 0.1467 loss: 0.0516 recall@thr=0.5: 0.7233 prec@thr=0.5: 0.8933 recall@top3: 0.8167 prec@top3: 0.6400 recall@top5: 0.9700 prec@top5: 0.4800 loss_action_cls: 0.0516 2023/03/10 20:01:25 - mmengine - INFO - Epoch(train) [5][2240/4451] lr: 2.7041e-06 eta: 13:30:06 time: 0.7247 data_time: 0.0126 memory: 51970 grad_norm: 0.1407 loss: 0.0598 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7063 recall@top3: 0.8095 prec@top3: 0.4921 recall@top5: 0.8968 prec@top5: 0.3333 loss_action_cls: 0.0598 2023/03/10 20:01:37 - mmengine - INFO - Epoch(train) [5][2260/4451] lr: 2.7065e-06 eta: 13:29:46 time: 0.6118 data_time: 0.0124 memory: 51970 grad_norm: 0.1396 loss: 0.0610 recall@thr=0.5: 0.4706 prec@thr=0.5: 0.5588 recall@top3: 0.7010 prec@top3: 0.5098 recall@top5: 0.9167 prec@top5: 0.3882 loss_action_cls: 0.0610 2023/03/10 20:01:51 - mmengine - INFO - Epoch(train) [5][2280/4451] lr: 2.7089e-06 eta: 13:29:29 time: 0.6681 data_time: 0.0133 memory: 51970 grad_norm: 0.1387 loss: 0.0560 recall@thr=0.5: 0.5033 prec@thr=0.5: 0.6067 recall@top3: 0.6867 prec@top3: 0.5733 recall@top5: 0.8433 prec@top5: 0.4240 loss_action_cls: 0.0560 2023/03/10 20:02:02 - mmengine - INFO - Epoch(train) [5][2300/4451] lr: 2.7113e-06 eta: 13:29:07 time: 0.5784 data_time: 0.0135 memory: 51970 grad_norm: 0.1392 loss: 0.0636 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8106 recall@top3: 0.8826 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0636 2023/03/10 20:02:16 - mmengine - INFO - Epoch(train) [5][2320/4451] lr: 2.7137e-06 eta: 13:28:51 time: 0.6776 data_time: 0.0497 memory: 51970 grad_norm: 0.1449 loss: 0.0544 recall@thr=0.5: 0.8026 prec@thr=0.5: 0.8553 recall@top3: 0.8509 prec@top3: 0.6842 recall@top5: 0.9386 prec@top5: 0.4737 loss_action_cls: 0.0544 2023/03/10 20:02:29 - mmengine - INFO - Epoch(train) [5][2340/4451] lr: 2.7161e-06 eta: 13:28:32 time: 0.6419 data_time: 0.0126 memory: 51970 grad_norm: 0.1356 loss: 0.0492 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8465 recall@top3: 0.8772 prec@top3: 0.7193 recall@top5: 0.9123 prec@top5: 0.4526 loss_action_cls: 0.0492 2023/03/10 20:02:43 - mmengine - INFO - Epoch(train) [5][2360/4451] lr: 2.7185e-06 eta: 13:28:18 time: 0.6987 data_time: 0.0117 memory: 51970 grad_norm: 0.1475 loss: 0.0567 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8860 recall@top3: 0.8149 prec@top3: 0.6316 recall@top5: 0.9526 prec@top5: 0.4842 loss_action_cls: 0.0567 2023/03/10 20:02:55 - mmengine - INFO - Epoch(train) [5][2380/4451] lr: 2.7209e-06 eta: 13:27:59 time: 0.6377 data_time: 0.0129 memory: 51970 grad_norm: 0.1406 loss: 0.0567 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7857 recall@top3: 0.7540 prec@top3: 0.3968 recall@top5: 0.9524 prec@top5: 0.2952 loss_action_cls: 0.0567 2023/03/10 20:03:09 - mmengine - INFO - Epoch(train) [5][2400/4451] lr: 2.7233e-06 eta: 13:27:42 time: 0.6634 data_time: 0.0118 memory: 51970 grad_norm: 0.1543 loss: 0.0637 recall@thr=0.5: 0.6318 prec@thr=0.5: 0.7803 recall@top3: 0.8045 prec@top3: 0.6515 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0637 2023/03/10 20:03:22 - mmengine - INFO - Epoch(train) [5][2420/4451] lr: 2.7257e-06 eta: 13:27:24 time: 0.6469 data_time: 0.0124 memory: 51970 grad_norm: 0.1440 loss: 0.0518 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.6083 recall@top3: 0.7667 prec@top3: 0.5000 recall@top5: 0.9250 prec@top5: 0.3500 loss_action_cls: 0.0518 2023/03/10 20:03:35 - mmengine - INFO - Epoch(train) [5][2440/4451] lr: 2.7281e-06 eta: 13:27:08 time: 0.6667 data_time: 0.0126 memory: 51970 grad_norm: 0.1417 loss: 0.0552 recall@thr=0.5: 0.7415 prec@thr=0.5: 0.7991 recall@top3: 0.7842 prec@top3: 0.6325 recall@top5: 0.9359 prec@top5: 0.4769 loss_action_cls: 0.0552 2023/03/10 20:03:49 - mmengine - INFO - Epoch(train) [5][2460/4451] lr: 2.7305e-06 eta: 13:26:53 time: 0.6973 data_time: 0.0118 memory: 51970 grad_norm: 0.1538 loss: 0.0649 recall@thr=0.5: 0.5397 prec@thr=0.5: 0.5119 recall@top3: 0.8175 prec@top3: 0.4921 recall@top5: 0.8889 prec@top5: 0.3238 loss_action_cls: 0.0649 2023/03/10 20:03:59 - mmengine - INFO - Epoch(train) [5][2480/4451] lr: 2.7329e-06 eta: 13:26:27 time: 0.5281 data_time: 0.0126 memory: 51970 grad_norm: 0.1474 loss: 0.0486 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.7167 recall@top3: 0.7278 prec@top3: 0.4667 recall@top5: 0.8444 prec@top5: 0.3467 loss_action_cls: 0.0486 2023/03/10 20:04:14 - mmengine - INFO - Epoch(train) [5][2500/4451] lr: 2.7353e-06 eta: 13:26:16 time: 0.7453 data_time: 0.0132 memory: 51970 grad_norm: 0.1322 loss: 0.0617 recall@thr=0.5: 0.5227 prec@thr=0.5: 0.6616 recall@top3: 0.6768 prec@top3: 0.6970 recall@top5: 0.9318 prec@top5: 0.5818 loss_action_cls: 0.0617 2023/03/10 20:04:25 - mmengine - INFO - Epoch(train) [5][2520/4451] lr: 2.7377e-06 eta: 13:25:49 time: 0.5182 data_time: 0.0120 memory: 51970 grad_norm: 0.1431 loss: 0.0557 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.7812 recall@top3: 0.8542 prec@top3: 0.6875 recall@top5: 0.9479 prec@top5: 0.4750 loss_action_cls: 0.0557 2023/03/10 20:04:39 - mmengine - INFO - Epoch(train) [5][2540/4451] lr: 2.7401e-06 eta: 13:25:35 time: 0.6990 data_time: 0.0124 memory: 51970 grad_norm: 0.1428 loss: 0.0570 recall@thr=0.5: 0.3158 prec@thr=0.5: 0.4561 recall@top3: 0.5491 prec@top3: 0.4386 recall@top5: 0.7877 prec@top5: 0.3789 loss_action_cls: 0.0570 2023/03/10 20:04:50 - mmengine - INFO - Epoch(train) [5][2560/4451] lr: 2.7426e-06 eta: 13:25:13 time: 0.5826 data_time: 0.0119 memory: 51970 grad_norm: 0.1427 loss: 0.0563 recall@thr=0.5: 0.5019 prec@thr=0.5: 0.7840 recall@top3: 0.6599 prec@top3: 0.6790 recall@top5: 0.8556 prec@top5: 0.5481 loss_action_cls: 0.0563 2023/03/10 20:05:03 - mmengine - INFO - Epoch(train) [5][2580/4451] lr: 2.7450e-06 eta: 13:24:53 time: 0.6274 data_time: 0.0169 memory: 51970 grad_norm: 0.1389 loss: 0.0500 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7500 recall@top3: 0.9688 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.3625 loss_action_cls: 0.0500 2023/03/10 20:05:15 - mmengine - INFO - Epoch(train) [5][2600/4451] lr: 2.7474e-06 eta: 13:24:33 time: 0.6153 data_time: 0.0124 memory: 51970 grad_norm: 0.1415 loss: 0.0431 recall@thr=0.5: 0.5913 prec@thr=0.5: 0.6746 recall@top3: 0.6746 prec@top3: 0.5397 recall@top5: 0.8571 prec@top5: 0.4095 loss_action_cls: 0.0431 2023/03/10 20:05:28 - mmengine - INFO - Epoch(train) [5][2620/4451] lr: 2.7498e-06 eta: 13:24:16 time: 0.6592 data_time: 0.0123 memory: 51970 grad_norm: 0.1457 loss: 0.0610 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.8395 recall@top3: 0.8247 prec@top3: 0.7284 recall@top5: 0.9012 prec@top5: 0.4889 loss_action_cls: 0.0610 2023/03/10 20:05:43 - mmengine - INFO - Epoch(train) [5][2640/4451] lr: 2.7522e-06 eta: 13:24:03 time: 0.7080 data_time: 0.0136 memory: 51970 grad_norm: 0.1439 loss: 0.0542 recall@thr=0.5: 0.7760 prec@thr=0.5: 0.7526 recall@top3: 0.8073 prec@top3: 0.7187 recall@top5: 0.9323 prec@top5: 0.5125 loss_action_cls: 0.0542 2023/03/10 20:05:54 - mmengine - INFO - Epoch(train) [5][2660/4451] lr: 2.7546e-06 eta: 13:23:40 time: 0.5783 data_time: 0.0119 memory: 51970 grad_norm: 0.1348 loss: 0.0584 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.7937 recall@top3: 0.8770 prec@top3: 0.6190 recall@top5: 0.9206 prec@top5: 0.4000 loss_action_cls: 0.0584 2023/03/10 20:06:07 - mmengine - INFO - Epoch(train) [5][2680/4451] lr: 2.7570e-06 eta: 13:23:22 time: 0.6420 data_time: 0.0120 memory: 51970 grad_norm: 0.1341 loss: 0.0506 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.9167 recall@top3: 0.8571 prec@top3: 0.8413 recall@top5: 0.9286 prec@top5: 0.5619 loss_action_cls: 0.0506 2023/03/10 20:06:18 - mmengine - INFO - Epoch(train) [5][2700/4451] lr: 2.7594e-06 eta: 13:22:56 time: 0.5330 data_time: 0.0125 memory: 51970 grad_norm: 0.1439 loss: 0.0534 recall@thr=0.5: 0.5060 prec@thr=0.5: 0.5595 recall@top3: 0.6131 prec@top3: 0.4286 recall@top5: 0.8214 prec@top5: 0.3571 loss_action_cls: 0.0534 2023/03/10 20:06:31 - mmengine - INFO - Epoch(train) [5][2720/4451] lr: 2.7618e-06 eta: 13:22:39 time: 0.6531 data_time: 0.0135 memory: 51970 grad_norm: 0.1486 loss: 0.0621 recall@thr=0.5: 0.5507 prec@thr=0.5: 0.6232 recall@top3: 0.7536 prec@top3: 0.5072 recall@top5: 0.9022 prec@top5: 0.4000 loss_action_cls: 0.0621 2023/03/10 20:06:44 - mmengine - INFO - Epoch(train) [5][2740/4451] lr: 2.7642e-06 eta: 13:22:21 time: 0.6433 data_time: 0.0122 memory: 51970 grad_norm: 0.1418 loss: 0.0574 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6825 recall@top3: 0.7460 prec@top3: 0.6349 recall@top5: 0.9206 prec@top5: 0.4762 loss_action_cls: 0.0574 2023/03/10 20:06:56 - mmengine - INFO - Epoch(train) [5][2760/4451] lr: 2.7666e-06 eta: 13:22:00 time: 0.6004 data_time: 0.0138 memory: 51970 grad_norm: 0.1412 loss: 0.0533 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.5370 recall@top3: 0.7500 prec@top3: 0.5370 recall@top5: 0.8333 prec@top5: 0.3556 loss_action_cls: 0.0533 2023/03/10 20:07:08 - mmengine - INFO - Epoch(train) [5][2780/4451] lr: 2.7690e-06 eta: 13:21:41 time: 0.6233 data_time: 0.0125 memory: 51970 grad_norm: 0.1387 loss: 0.0642 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.6667 recall@top3: 0.7632 prec@top3: 0.5088 recall@top5: 0.8684 prec@top5: 0.3368 loss_action_cls: 0.0642 2023/03/10 20:07:22 - mmengine - INFO - Epoch(train) [5][2800/4451] lr: 2.7714e-06 eta: 13:21:26 time: 0.6970 data_time: 0.0262 memory: 51970 grad_norm: 0.1396 loss: 0.0688 recall@thr=0.5: 0.3854 prec@thr=0.5: 0.4531 recall@top3: 0.7208 prec@top3: 0.5521 recall@top5: 0.9000 prec@top5: 0.3937 loss_action_cls: 0.0688 2023/03/10 20:07:36 - mmengine - INFO - Epoch(train) [5][2820/4451] lr: 2.7738e-06 eta: 13:21:12 time: 0.7048 data_time: 0.0256 memory: 51970 grad_norm: 0.1391 loss: 0.0565 recall@thr=0.5: 0.5594 prec@thr=0.5: 0.6159 recall@top3: 0.7181 prec@top3: 0.7101 recall@top5: 0.8935 prec@top5: 0.5478 loss_action_cls: 0.0565 2023/03/10 20:07:49 - mmengine - INFO - Epoch(train) [5][2840/4451] lr: 2.7762e-06 eta: 13:20:53 time: 0.6255 data_time: 0.0183 memory: 51970 grad_norm: 0.1391 loss: 0.0492 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8241 recall@top3: 0.8611 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.4333 loss_action_cls: 0.0492 2023/03/10 20:08:01 - mmengine - INFO - Epoch(train) [5][2860/4451] lr: 2.7786e-06 eta: 13:20:34 time: 0.6318 data_time: 0.0124 memory: 51970 grad_norm: 0.1378 loss: 0.0513 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7544 recall@top3: 0.8947 prec@top3: 0.5789 recall@top5: 0.8947 prec@top5: 0.3474 loss_action_cls: 0.0513 2023/03/10 20:08:16 - mmengine - INFO - Epoch(train) [5][2880/4451] lr: 2.7810e-06 eta: 13:20:21 time: 0.7155 data_time: 0.0120 memory: 51970 grad_norm: 0.1317 loss: 0.0565 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6404 recall@top3: 0.8640 prec@top3: 0.5614 recall@top5: 0.9737 prec@top5: 0.4000 loss_action_cls: 0.0565 2023/03/10 20:08:27 - mmengine - INFO - Epoch(train) [5][2900/4451] lr: 2.7834e-06 eta: 13:19:59 time: 0.5767 data_time: 0.0340 memory: 51970 grad_norm: 0.1437 loss: 0.0525 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6404 recall@top3: 0.6754 prec@top3: 0.4035 recall@top5: 0.9211 prec@top5: 0.3158 loss_action_cls: 0.0525 2023/03/10 20:08:40 - mmengine - INFO - Epoch(train) [5][2920/4451] lr: 2.7858e-06 eta: 13:19:41 time: 0.6516 data_time: 0.0462 memory: 51970 grad_norm: 0.1386 loss: 0.0492 recall@thr=0.5: 0.7020 prec@thr=0.5: 0.8235 recall@top3: 0.7569 prec@top3: 0.6863 recall@top5: 0.8343 prec@top5: 0.4706 loss_action_cls: 0.0492 2023/03/10 20:08:53 - mmengine - INFO - Epoch(train) [5][2940/4451] lr: 2.7882e-06 eta: 13:19:25 time: 0.6606 data_time: 0.0130 memory: 51970 grad_norm: 0.1437 loss: 0.0652 recall@thr=0.5: 0.5241 prec@thr=0.5: 0.5519 recall@top3: 0.6824 prec@top3: 0.5556 recall@top5: 0.8944 prec@top5: 0.4444 loss_action_cls: 0.0652 2023/03/10 20:09:06 - mmengine - INFO - Epoch(train) [5][2960/4451] lr: 2.7906e-06 eta: 13:19:06 time: 0.6329 data_time: 0.0122 memory: 51970 grad_norm: 0.1444 loss: 0.0604 recall@thr=0.5: 0.5495 prec@thr=0.5: 0.6747 recall@top3: 0.6855 prec@top3: 0.6882 recall@top5: 0.8538 prec@top5: 0.5355 loss_action_cls: 0.0604 2023/03/10 20:09:18 - mmengine - INFO - Epoch(train) [5][2980/4451] lr: 2.7930e-06 eta: 13:18:46 time: 0.6164 data_time: 0.0134 memory: 51970 grad_norm: 0.1422 loss: 0.0559 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6000 recall@top3: 0.6200 prec@top3: 0.4800 recall@top5: 0.8333 prec@top5: 0.3920 loss_action_cls: 0.0559 2023/03/10 20:09:32 - mmengine - INFO - Epoch(train) [5][3000/4451] lr: 2.7954e-06 eta: 13:18:31 time: 0.6784 data_time: 0.0122 memory: 51970 grad_norm: 0.1391 loss: 0.0607 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7778 recall@top3: 0.8413 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4381 loss_action_cls: 0.0607 2023/03/10 20:09:44 - mmengine - INFO - Epoch(train) [5][3020/4451] lr: 2.7978e-06 eta: 13:18:09 time: 0.5811 data_time: 0.0132 memory: 51970 grad_norm: 0.1418 loss: 0.0624 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5278 recall@top3: 0.6042 prec@top3: 0.4583 recall@top5: 0.7118 prec@top5: 0.3333 loss_action_cls: 0.0624 2023/03/10 20:09:58 - mmengine - INFO - Epoch(train) [5][3040/4451] lr: 2.8002e-06 eta: 13:17:55 time: 0.6999 data_time: 0.0131 memory: 51970 grad_norm: 0.1378 loss: 0.0504 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7556 recall@top3: 0.7333 prec@top3: 0.4000 recall@top5: 0.9000 prec@top5: 0.2933 loss_action_cls: 0.0504 2023/03/10 20:10:09 - mmengine - INFO - Epoch(train) [5][3060/4451] lr: 2.8026e-06 eta: 13:17:33 time: 0.5928 data_time: 0.0121 memory: 51970 grad_norm: 0.1387 loss: 0.0488 recall@thr=0.5: 0.6096 prec@thr=0.5: 0.7105 recall@top3: 0.8114 prec@top3: 0.5965 recall@top5: 0.8904 prec@top5: 0.4000 loss_action_cls: 0.0488 2023/03/10 20:10:23 - mmengine - INFO - Epoch(train) [5][3080/4451] lr: 2.8050e-06 eta: 13:17:17 time: 0.6687 data_time: 0.0126 memory: 51970 grad_norm: 0.1386 loss: 0.0563 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.7302 recall@top3: 0.8073 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4750 loss_action_cls: 0.0563 2023/03/10 20:10:36 - mmengine - INFO - Epoch(train) [5][3100/4451] lr: 2.8074e-06 eta: 13:16:59 time: 0.6438 data_time: 0.0132 memory: 51970 grad_norm: 0.1405 loss: 0.0587 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.7157 recall@top3: 0.7892 prec@top3: 0.4902 recall@top5: 0.8824 prec@top5: 0.3412 loss_action_cls: 0.0587 2023/03/10 20:10:49 - mmengine - INFO - Epoch(train) [5][3120/4451] lr: 2.8098e-06 eta: 13:16:43 time: 0.6647 data_time: 0.0125 memory: 51970 grad_norm: 0.1427 loss: 0.0495 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7879 recall@top3: 0.8008 prec@top3: 0.6061 recall@top5: 0.9439 prec@top5: 0.4455 loss_action_cls: 0.0495 2023/03/10 20:11:00 - mmengine - INFO - Epoch(train) [5][3140/4451] lr: 2.8122e-06 eta: 13:16:20 time: 0.5638 data_time: 0.0159 memory: 51970 grad_norm: 0.1490 loss: 0.0541 recall@thr=0.5: 0.4533 prec@thr=0.5: 0.5200 recall@top3: 0.7400 prec@top3: 0.5467 recall@top5: 0.8400 prec@top5: 0.3840 loss_action_cls: 0.0541 2023/03/10 20:11:14 - mmengine - INFO - Epoch(train) [5][3160/4451] lr: 2.8146e-06 eta: 13:16:06 time: 0.7013 data_time: 0.0123 memory: 51970 grad_norm: 0.1322 loss: 0.0609 recall@thr=0.5: 0.7108 prec@thr=0.5: 0.8333 recall@top3: 0.7794 prec@top3: 0.6275 recall@top5: 0.9461 prec@top5: 0.4824 loss_action_cls: 0.0609 2023/03/10 20:11:26 - mmengine - INFO - Epoch(train) [5][3180/4451] lr: 2.8170e-06 eta: 13:15:45 time: 0.5930 data_time: 0.0144 memory: 51970 grad_norm: 0.1335 loss: 0.0525 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6667 recall@top3: 0.7604 prec@top3: 0.6250 recall@top5: 0.8438 prec@top5: 0.4250 loss_action_cls: 0.0525 2023/03/10 20:11:37 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 20:11:40 - mmengine - INFO - Epoch(train) [5][3200/4451] lr: 2.8194e-06 eta: 13:15:29 time: 0.6839 data_time: 0.0123 memory: 51970 grad_norm: 0.1444 loss: 0.0568 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.7857 recall@top3: 0.9167 prec@top3: 0.6905 recall@top5: 0.9167 prec@top5: 0.4143 loss_action_cls: 0.0568 2023/03/10 20:11:53 - mmengine - INFO - Epoch(train) [5][3220/4451] lr: 2.8218e-06 eta: 13:15:13 time: 0.6695 data_time: 0.0636 memory: 51970 grad_norm: 0.1354 loss: 0.0622 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.5317 recall@top3: 0.7698 prec@top3: 0.5079 recall@top5: 0.9841 prec@top5: 0.4095 loss_action_cls: 0.0622 2023/03/10 20:12:08 - mmengine - INFO - Epoch(train) [5][3240/4451] lr: 2.8242e-06 eta: 13:15:00 time: 0.7165 data_time: 0.0128 memory: 51970 grad_norm: 0.1356 loss: 0.0538 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8583 recall@top3: 0.9500 prec@top3: 0.6833 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0538 2023/03/10 20:12:21 - mmengine - INFO - Epoch(train) [5][3260/4451] lr: 2.8266e-06 eta: 13:14:45 time: 0.6768 data_time: 0.0120 memory: 51970 grad_norm: 0.1338 loss: 0.0457 recall@thr=0.5: 0.4271 prec@thr=0.5: 0.5972 recall@top3: 0.6562 prec@top3: 0.5000 recall@top5: 0.7500 prec@top5: 0.3417 loss_action_cls: 0.0457 2023/03/10 20:12:35 - mmengine - INFO - Epoch(train) [5][3280/4451] lr: 2.8290e-06 eta: 13:14:30 time: 0.6904 data_time: 0.0137 memory: 51970 grad_norm: 0.1351 loss: 0.0490 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7474 recall@top3: 0.8947 prec@top3: 0.6842 recall@top5: 0.9737 prec@top5: 0.4526 loss_action_cls: 0.0490 2023/03/10 20:12:47 - mmengine - INFO - Epoch(train) [5][3300/4451] lr: 2.8314e-06 eta: 13:14:11 time: 0.6261 data_time: 0.0131 memory: 51970 grad_norm: 0.1302 loss: 0.0627 recall@thr=0.5: 0.7788 prec@thr=0.5: 0.6897 recall@top3: 0.8013 prec@top3: 0.6026 recall@top5: 0.9103 prec@top5: 0.4308 loss_action_cls: 0.0627 2023/03/10 20:13:02 - mmengine - INFO - Epoch(train) [5][3320/4451] lr: 2.8338e-06 eta: 13:13:59 time: 0.7324 data_time: 0.0140 memory: 51970 grad_norm: 0.1495 loss: 0.0459 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.5196 recall@top3: 0.7353 prec@top3: 0.5686 recall@top5: 0.8922 prec@top5: 0.4235 loss_action_cls: 0.0459 2023/03/10 20:13:14 - mmengine - INFO - Epoch(train) [5][3340/4451] lr: 2.8362e-06 eta: 13:13:39 time: 0.6161 data_time: 0.0115 memory: 51970 grad_norm: 0.1363 loss: 0.0533 recall@thr=0.5: 0.5048 prec@thr=0.5: 0.6905 recall@top3: 0.6714 prec@top3: 0.5556 recall@top5: 0.8635 prec@top5: 0.4381 loss_action_cls: 0.0533 2023/03/10 20:13:28 - mmengine - INFO - Epoch(train) [5][3360/4451] lr: 2.8386e-06 eta: 13:13:24 time: 0.6792 data_time: 0.0118 memory: 51970 grad_norm: 0.1390 loss: 0.0513 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.8824 recall@top3: 0.7745 prec@top3: 0.6471 recall@top5: 0.8824 prec@top5: 0.4471 loss_action_cls: 0.0513 2023/03/10 20:13:39 - mmengine - INFO - Epoch(train) [5][3380/4451] lr: 2.8410e-06 eta: 13:13:01 time: 0.5713 data_time: 0.0137 memory: 51970 grad_norm: 0.1405 loss: 0.0535 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7708 recall@top3: 0.7396 prec@top3: 0.5625 recall@top5: 0.9167 prec@top5: 0.3875 loss_action_cls: 0.0535 2023/03/10 20:13:54 - mmengine - INFO - Epoch(train) [5][3400/4451] lr: 2.8434e-06 eta: 13:12:50 time: 0.7402 data_time: 0.0118 memory: 51970 grad_norm: 0.1441 loss: 0.0509 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8000 recall@top3: 0.7917 prec@top3: 0.6333 recall@top5: 0.9375 prec@top5: 0.4700 loss_action_cls: 0.0509 2023/03/10 20:14:05 - mmengine - INFO - Epoch(train) [5][3420/4451] lr: 2.8458e-06 eta: 13:12:25 time: 0.5293 data_time: 0.0118 memory: 51970 grad_norm: 0.1320 loss: 0.0572 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.6212 recall@top3: 0.8864 prec@top3: 0.6970 recall@top5: 0.9280 prec@top5: 0.4455 loss_action_cls: 0.0572 2023/03/10 20:14:19 - mmengine - INFO - Epoch(train) [5][3440/4451] lr: 2.8482e-06 eta: 13:12:11 time: 0.6962 data_time: 0.0122 memory: 51970 grad_norm: 0.1387 loss: 0.0607 recall@thr=0.5: 0.5437 prec@thr=0.5: 0.6905 recall@top3: 0.8730 prec@top3: 0.6032 recall@top5: 0.9524 prec@top5: 0.4190 loss_action_cls: 0.0607 2023/03/10 20:14:35 - mmengine - INFO - Epoch(train) [5][3460/4451] lr: 2.8506e-06 eta: 13:12:05 time: 0.8387 data_time: 0.0126 memory: 51970 grad_norm: 0.1351 loss: 0.0589 recall@thr=0.5: 0.7230 prec@thr=0.5: 0.7034 recall@top3: 0.7696 prec@top3: 0.6471 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0589 2023/03/10 20:14:50 - mmengine - INFO - Epoch(train) [5][3480/4451] lr: 2.8530e-06 eta: 13:11:52 time: 0.7075 data_time: 0.0118 memory: 51970 grad_norm: 0.1438 loss: 0.0510 recall@thr=0.5: 0.6992 prec@thr=0.5: 0.7349 recall@top3: 0.7556 prec@top3: 0.6984 recall@top5: 0.9254 prec@top5: 0.5143 loss_action_cls: 0.0510 2023/03/10 20:15:01 - mmengine - INFO - Epoch(train) [5][3500/4451] lr: 2.8554e-06 eta: 13:11:29 time: 0.5634 data_time: 0.0123 memory: 51970 grad_norm: 0.1373 loss: 0.0538 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.6852 recall@top3: 0.8194 prec@top3: 0.6667 recall@top5: 0.9074 prec@top5: 0.4556 loss_action_cls: 0.0538 2023/03/10 20:15:15 - mmengine - INFO - Epoch(train) [5][3520/4451] lr: 2.8578e-06 eta: 13:11:16 time: 0.7203 data_time: 0.0126 memory: 51970 grad_norm: 0.1413 loss: 0.0522 recall@thr=0.5: 0.4059 prec@thr=0.5: 0.5588 recall@top3: 0.7196 prec@top3: 0.5098 recall@top5: 0.9490 prec@top5: 0.4235 loss_action_cls: 0.0522 2023/03/10 20:15:28 - mmengine - INFO - Epoch(train) [5][3540/4451] lr: 2.8602e-06 eta: 13:10:58 time: 0.6406 data_time: 0.0125 memory: 51970 grad_norm: 0.1433 loss: 0.0548 recall@thr=0.5: 0.7325 prec@thr=0.5: 0.7698 recall@top3: 0.7294 prec@top3: 0.6508 recall@top5: 0.8413 prec@top5: 0.4952 loss_action_cls: 0.0548 2023/03/10 20:15:41 - mmengine - INFO - Epoch(train) [5][3560/4451] lr: 2.8626e-06 eta: 13:10:40 time: 0.6297 data_time: 0.0126 memory: 51970 grad_norm: 0.1319 loss: 0.0579 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7639 recall@top3: 0.7963 prec@top3: 0.6296 recall@top5: 0.9213 prec@top5: 0.4778 loss_action_cls: 0.0579 2023/03/10 20:15:54 - mmengine - INFO - Epoch(train) [5][3580/4451] lr: 2.8651e-06 eta: 13:10:22 time: 0.6450 data_time: 0.0134 memory: 51970 grad_norm: 0.1414 loss: 0.0457 recall@thr=0.5: 0.7040 prec@thr=0.5: 0.8333 recall@top3: 0.7730 prec@top3: 0.6092 recall@top5: 0.9310 prec@top5: 0.4483 loss_action_cls: 0.0457 2023/03/10 20:16:08 - mmengine - INFO - Epoch(train) [5][3600/4451] lr: 2.8675e-06 eta: 13:10:09 time: 0.7200 data_time: 0.0576 memory: 51970 grad_norm: 0.1304 loss: 0.0533 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7222 recall@top3: 0.8272 prec@top3: 0.4938 recall@top5: 0.9259 prec@top5: 0.3481 loss_action_cls: 0.0533 2023/03/10 20:16:20 - mmengine - INFO - Epoch(train) [5][3620/4451] lr: 2.8699e-06 eta: 13:09:48 time: 0.5833 data_time: 0.0120 memory: 51970 grad_norm: 0.1531 loss: 0.0474 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6429 recall@top3: 0.8413 prec@top3: 0.6984 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0474 2023/03/10 20:16:32 - mmengine - INFO - Epoch(train) [5][3640/4451] lr: 2.8723e-06 eta: 13:09:29 time: 0.6331 data_time: 0.0132 memory: 51970 grad_norm: 0.1344 loss: 0.0548 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7803 recall@top3: 0.8258 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.5455 loss_action_cls: 0.0548 2023/03/10 20:16:46 - mmengine - INFO - Epoch(train) [5][3660/4451] lr: 2.8747e-06 eta: 13:09:16 time: 0.7055 data_time: 0.0130 memory: 51970 grad_norm: 0.1361 loss: 0.0494 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8148 recall@top3: 0.9444 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4000 loss_action_cls: 0.0494 2023/03/10 20:16:59 - mmengine - INFO - Epoch(train) [5][3680/4451] lr: 2.8771e-06 eta: 13:08:57 time: 0.6284 data_time: 0.0128 memory: 51970 grad_norm: 0.1327 loss: 0.0580 recall@thr=0.5: 0.5133 prec@thr=0.5: 0.5733 recall@top3: 0.6667 prec@top3: 0.4133 recall@top5: 0.8600 prec@top5: 0.3280 loss_action_cls: 0.0580 2023/03/10 20:17:13 - mmengine - INFO - Epoch(train) [5][3700/4451] lr: 2.8795e-06 eta: 13:08:42 time: 0.6865 data_time: 0.0134 memory: 51970 grad_norm: 0.1305 loss: 0.0559 recall@thr=0.5: 0.5458 prec@thr=0.5: 0.7500 recall@top3: 0.9167 prec@top3: 0.7667 recall@top5: 0.9417 prec@top5: 0.4800 loss_action_cls: 0.0559 2023/03/10 20:17:24 - mmengine - INFO - Epoch(train) [5][3720/4451] lr: 2.8819e-06 eta: 13:08:19 time: 0.5502 data_time: 0.0190 memory: 51970 grad_norm: 0.1430 loss: 0.0540 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.7692 recall@top3: 0.9231 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.3846 loss_action_cls: 0.0540 2023/03/10 20:17:39 - mmengine - INFO - Epoch(train) [5][3740/4451] lr: 2.8843e-06 eta: 13:08:08 time: 0.7502 data_time: 0.0969 memory: 51970 grad_norm: 0.1477 loss: 0.0494 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.7083 recall@top3: 0.9444 prec@top3: 0.7222 recall@top5: 0.9861 prec@top5: 0.4583 loss_action_cls: 0.0494 2023/03/10 20:17:50 - mmengine - INFO - Epoch(train) [5][3760/4451] lr: 2.8867e-06 eta: 13:07:46 time: 0.5826 data_time: 0.0543 memory: 51970 grad_norm: 0.1396 loss: 0.0587 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8070 recall@top3: 0.8158 prec@top3: 0.6491 recall@top5: 0.9298 prec@top5: 0.4526 loss_action_cls: 0.0587 2023/03/10 20:18:05 - mmengine - INFO - Epoch(train) [5][3780/4451] lr: 2.8891e-06 eta: 13:07:33 time: 0.7144 data_time: 0.1275 memory: 51970 grad_norm: 0.1300 loss: 0.0536 recall@thr=0.5: 0.7117 prec@thr=0.5: 0.7358 recall@top3: 0.7300 prec@top3: 0.7167 recall@top5: 0.8750 prec@top5: 0.5200 loss_action_cls: 0.0536 2023/03/10 20:18:17 - mmengine - INFO - Epoch(train) [5][3800/4451] lr: 2.8915e-06 eta: 13:07:13 time: 0.6030 data_time: 0.0284 memory: 51970 grad_norm: 0.1407 loss: 0.0576 recall@thr=0.5: 0.5507 prec@thr=0.5: 0.5761 recall@top3: 0.7254 prec@top3: 0.6522 recall@top5: 0.8500 prec@top5: 0.4783 loss_action_cls: 0.0576 2023/03/10 20:18:30 - mmengine - INFO - Epoch(train) [5][3820/4451] lr: 2.8939e-06 eta: 13:06:57 time: 0.6708 data_time: 0.0307 memory: 51970 grad_norm: 0.1356 loss: 0.0497 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6471 recall@top3: 0.8725 prec@top3: 0.6275 recall@top5: 0.9216 prec@top5: 0.4000 loss_action_cls: 0.0497 2023/03/10 20:18:42 - mmengine - INFO - Epoch(train) [5][3840/4451] lr: 2.8963e-06 eta: 13:06:37 time: 0.6056 data_time: 0.0775 memory: 51970 grad_norm: 0.1373 loss: 0.0643 recall@thr=0.5: 0.7189 prec@thr=0.5: 0.7576 recall@top3: 0.8061 prec@top3: 0.6970 recall@top5: 0.9795 prec@top5: 0.5182 loss_action_cls: 0.0643 2023/03/10 20:18:54 - mmengine - INFO - Epoch(train) [5][3860/4451] lr: 2.8987e-06 eta: 13:06:17 time: 0.6061 data_time: 0.0119 memory: 51970 grad_norm: 0.1368 loss: 0.0543 recall@thr=0.5: 0.7932 prec@thr=0.5: 0.8395 recall@top3: 0.7870 prec@top3: 0.6667 recall@top5: 0.9383 prec@top5: 0.4815 loss_action_cls: 0.0543 2023/03/10 20:19:08 - mmengine - INFO - Epoch(train) [5][3880/4451] lr: 2.9011e-06 eta: 13:06:01 time: 0.6656 data_time: 0.1446 memory: 51970 grad_norm: 0.1355 loss: 0.0537 recall@thr=0.5: 0.5341 prec@thr=0.5: 0.6288 recall@top3: 0.7083 prec@top3: 0.5152 recall@top5: 0.8712 prec@top5: 0.4091 loss_action_cls: 0.0537 2023/03/10 20:19:20 - mmengine - INFO - Epoch(train) [5][3900/4451] lr: 2.9035e-06 eta: 13:05:43 time: 0.6254 data_time: 0.1869 memory: 51970 grad_norm: 0.1492 loss: 0.0566 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6491 recall@top3: 0.7456 prec@top3: 0.4912 recall@top5: 0.9211 prec@top5: 0.3579 loss_action_cls: 0.0566 2023/03/10 20:19:33 - mmengine - INFO - Epoch(train) [5][3920/4451] lr: 2.9059e-06 eta: 13:05:24 time: 0.6285 data_time: 0.1008 memory: 51970 grad_norm: 0.1396 loss: 0.0541 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.6826 recall@top3: 0.8406 prec@top3: 0.6667 recall@top5: 0.9058 prec@top5: 0.4348 loss_action_cls: 0.0541 2023/03/10 20:19:48 - mmengine - INFO - Epoch(train) [5][3940/4451] lr: 2.9083e-06 eta: 13:05:13 time: 0.7475 data_time: 0.3224 memory: 51970 grad_norm: 0.1425 loss: 0.0524 recall@thr=0.5: 0.5241 prec@thr=0.5: 0.6852 recall@top3: 0.6815 prec@top3: 0.5000 recall@top5: 0.7944 prec@top5: 0.3778 loss_action_cls: 0.0524 2023/03/10 20:19:59 - mmengine - INFO - Epoch(train) [5][3960/4451] lr: 2.9107e-06 eta: 13:04:52 time: 0.5832 data_time: 0.1587 memory: 51970 grad_norm: 0.1354 loss: 0.0541 recall@thr=0.5: 0.6533 prec@thr=0.5: 0.6933 recall@top3: 0.7867 prec@top3: 0.5067 recall@top5: 0.9200 prec@top5: 0.3760 loss_action_cls: 0.0541 2023/03/10 20:20:13 - mmengine - INFO - Epoch(train) [5][3980/4451] lr: 2.9131e-06 eta: 13:04:36 time: 0.6644 data_time: 0.0748 memory: 51970 grad_norm: 0.1358 loss: 0.0557 recall@thr=0.5: 0.6174 prec@thr=0.5: 0.7083 recall@top3: 0.7386 prec@top3: 0.6212 recall@top5: 0.8977 prec@top5: 0.4545 loss_action_cls: 0.0557 2023/03/10 20:20:25 - mmengine - INFO - Epoch(train) [5][4000/4451] lr: 2.9155e-06 eta: 13:04:18 time: 0.6356 data_time: 0.1714 memory: 51970 grad_norm: 0.1434 loss: 0.0492 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8824 recall@top3: 0.9216 prec@top3: 0.6275 recall@top5: 0.9510 prec@top5: 0.3882 loss_action_cls: 0.0492 2023/03/10 20:20:40 - mmengine - INFO - Epoch(train) [5][4020/4451] lr: 2.9179e-06 eta: 13:04:05 time: 0.7214 data_time: 0.2942 memory: 51970 grad_norm: 0.1328 loss: 0.0592 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.6944 recall@top3: 0.5796 prec@top3: 0.5185 recall@top5: 0.7917 prec@top5: 0.4333 loss_action_cls: 0.0592 2023/03/10 20:20:52 - mmengine - INFO - Epoch(train) [5][4040/4451] lr: 2.9203e-06 eta: 13:03:46 time: 0.6260 data_time: 0.1707 memory: 51970 grad_norm: 0.1405 loss: 0.0615 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7778 recall@top3: 0.9676 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0615 2023/03/10 20:21:06 - mmengine - INFO - Epoch(train) [5][4060/4451] lr: 2.9227e-06 eta: 13:03:32 time: 0.6915 data_time: 0.2580 memory: 51970 grad_norm: 0.1347 loss: 0.0552 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.6667 recall@top3: 0.7273 prec@top3: 0.6061 recall@top5: 0.8788 prec@top5: 0.4364 loss_action_cls: 0.0552 2023/03/10 20:21:18 - mmengine - INFO - Epoch(train) [5][4080/4451] lr: 2.9251e-06 eta: 13:03:10 time: 0.5699 data_time: 0.1300 memory: 51970 grad_norm: 0.1346 loss: 0.0528 recall@thr=0.5: 0.6271 prec@thr=0.5: 0.7917 recall@top3: 0.6924 prec@top3: 0.6389 recall@top5: 0.8722 prec@top5: 0.4917 loss_action_cls: 0.0528 2023/03/10 20:21:32 - mmengine - INFO - Epoch(train) [5][4100/4451] lr: 2.9275e-06 eta: 13:02:57 time: 0.7149 data_time: 0.2520 memory: 51970 grad_norm: 0.1382 loss: 0.0536 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6944 recall@top3: 0.7222 prec@top3: 0.6296 recall@top5: 0.8519 prec@top5: 0.4333 loss_action_cls: 0.0536 2023/03/10 20:21:46 - mmengine - INFO - Epoch(train) [5][4120/4451] lr: 2.9299e-06 eta: 13:02:41 time: 0.6782 data_time: 0.1672 memory: 51970 grad_norm: 0.1391 loss: 0.0455 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.5759 recall@top3: 0.8056 prec@top3: 0.5000 recall@top5: 0.9722 prec@top5: 0.3556 loss_action_cls: 0.0455 2023/03/10 20:21:58 - mmengine - INFO - Epoch(train) [5][4140/4451] lr: 2.9323e-06 eta: 13:02:24 time: 0.6427 data_time: 0.0529 memory: 51970 grad_norm: 0.1337 loss: 0.0514 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7500 recall@top3: 0.8598 prec@top3: 0.7424 recall@top5: 0.9280 prec@top5: 0.5000 loss_action_cls: 0.0514 2023/03/10 20:22:11 - mmengine - INFO - Epoch(train) [5][4160/4451] lr: 2.9347e-06 eta: 13:02:05 time: 0.6220 data_time: 0.0127 memory: 51970 grad_norm: 0.1443 loss: 0.0533 recall@thr=0.5: 0.8467 prec@thr=0.5: 0.8667 recall@top3: 0.8467 prec@top3: 0.6800 recall@top5: 0.9333 prec@top5: 0.4720 loss_action_cls: 0.0533 2023/03/10 20:22:25 - mmengine - INFO - Epoch(train) [5][4180/4451] lr: 2.9371e-06 eta: 13:01:51 time: 0.6931 data_time: 0.0118 memory: 51970 grad_norm: 0.1388 loss: 0.0557 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8241 recall@top3: 0.7963 prec@top3: 0.6111 recall@top5: 0.8519 prec@top5: 0.4000 loss_action_cls: 0.0557 2023/03/10 20:22:34 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 20:22:37 - mmengine - INFO - Epoch(train) [5][4200/4451] lr: 2.9395e-06 eta: 13:01:33 time: 0.6298 data_time: 0.0124 memory: 51970 grad_norm: 0.1402 loss: 0.0510 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6667 recall@top3: 0.7821 prec@top3: 0.5769 recall@top5: 0.8718 prec@top5: 0.3923 loss_action_cls: 0.0510 2023/03/10 20:22:49 - mmengine - INFO - Epoch(train) [5][4220/4451] lr: 2.9419e-06 eta: 13:01:12 time: 0.5952 data_time: 0.0119 memory: 51970 grad_norm: 0.1360 loss: 0.0547 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5556 recall@top3: 0.6667 prec@top3: 0.4630 recall@top5: 0.8796 prec@top5: 0.3667 loss_action_cls: 0.0547 2023/03/10 20:23:03 - mmengine - INFO - Epoch(train) [5][4240/4451] lr: 2.9443e-06 eta: 13:00:56 time: 0.6662 data_time: 0.0115 memory: 51970 grad_norm: 0.1337 loss: 0.0437 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8542 recall@top3: 0.8750 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0437 2023/03/10 20:23:14 - mmengine - INFO - Epoch(train) [5][4260/4451] lr: 2.9467e-06 eta: 13:00:36 time: 0.5934 data_time: 0.0123 memory: 51970 grad_norm: 0.1389 loss: 0.0552 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.6444 recall@top3: 0.7037 prec@top3: 0.5926 recall@top5: 0.9815 prec@top5: 0.5111 loss_action_cls: 0.0552 2023/03/10 20:23:28 - mmengine - INFO - Epoch(train) [5][4280/4451] lr: 2.9491e-06 eta: 13:00:19 time: 0.6588 data_time: 0.0125 memory: 51970 grad_norm: 0.1355 loss: 0.0467 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7417 recall@top3: 0.9167 prec@top3: 0.7667 recall@top5: 0.9417 prec@top5: 0.4700 loss_action_cls: 0.0467 2023/03/10 20:23:40 - mmengine - INFO - Epoch(train) [5][4300/4451] lr: 2.9515e-06 eta: 13:00:02 time: 0.6434 data_time: 0.0765 memory: 51970 grad_norm: 0.1392 loss: 0.0501 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.8704 recall@top3: 0.8981 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0501 2023/03/10 20:23:52 - mmengine - INFO - Epoch(train) [5][4320/4451] lr: 2.9539e-06 eta: 12:59:41 time: 0.5786 data_time: 0.1539 memory: 51970 grad_norm: 0.1367 loss: 0.0517 recall@thr=0.5: 0.5921 prec@thr=0.5: 0.8904 recall@top3: 0.7632 prec@top3: 0.7544 recall@top5: 0.9474 prec@top5: 0.5895 loss_action_cls: 0.0517 2023/03/10 20:24:05 - mmengine - INFO - Epoch(train) [5][4340/4451] lr: 2.9563e-06 eta: 12:59:24 time: 0.6593 data_time: 0.2179 memory: 51970 grad_norm: 0.1457 loss: 0.0497 recall@thr=0.5: 0.4198 prec@thr=0.5: 0.6605 recall@top3: 0.5926 prec@top3: 0.4815 recall@top5: 0.8519 prec@top5: 0.4296 loss_action_cls: 0.0497 2023/03/10 20:24:17 - mmengine - INFO - Epoch(train) [5][4360/4451] lr: 2.9587e-06 eta: 12:59:04 time: 0.5935 data_time: 0.1149 memory: 51970 grad_norm: 0.1391 loss: 0.0451 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.6275 recall@top3: 0.9510 prec@top3: 0.5490 recall@top5: 0.9510 prec@top5: 0.3294 loss_action_cls: 0.0451 2023/03/10 20:24:30 - mmengine - INFO - Epoch(train) [5][4380/4451] lr: 2.9611e-06 eta: 12:58:47 time: 0.6517 data_time: 0.0144 memory: 51970 grad_norm: 0.1356 loss: 0.0609 recall@thr=0.5: 0.6101 prec@thr=0.5: 0.6250 recall@top3: 0.7351 prec@top3: 0.5714 recall@top5: 0.8929 prec@top5: 0.4429 loss_action_cls: 0.0609 2023/03/10 20:24:43 - mmengine - INFO - Epoch(train) [5][4400/4451] lr: 2.9635e-06 eta: 12:58:29 time: 0.6299 data_time: 0.0119 memory: 51970 grad_norm: 0.1426 loss: 0.0566 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7018 recall@top3: 0.7807 prec@top3: 0.4035 recall@top5: 0.9167 prec@top5: 0.2947 loss_action_cls: 0.0566 2023/03/10 20:24:55 - mmengine - INFO - Epoch(train) [5][4420/4451] lr: 2.9659e-06 eta: 12:58:11 time: 0.6321 data_time: 0.0126 memory: 51970 grad_norm: 0.1385 loss: 0.0554 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.6771 recall@top3: 0.7743 prec@top3: 0.6806 recall@top5: 0.9444 prec@top5: 0.5000 loss_action_cls: 0.0554 2023/03/10 20:25:08 - mmengine - INFO - Epoch(train) [5][4440/4451] lr: 2.9683e-06 eta: 12:57:52 time: 0.6223 data_time: 0.0122 memory: 51970 grad_norm: 0.1301 loss: 0.0502 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.9306 recall@top3: 0.8785 prec@top3: 0.7639 recall@top5: 0.9757 prec@top5: 0.5250 loss_action_cls: 0.0502 2023/03/10 20:25:12 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 20:25:12 - mmengine - INFO - Epoch(train) [5][4451/4451] lr: 2.9697e-06 eta: 12:57:35 time: 0.4941 data_time: 0.0119 memory: 51970 grad_norm: 0.1310 loss: 0.0521 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5000 recall@top3: 0.6944 prec@top3: 0.3333 recall@top5: 0.7500 prec@top5: 0.2333 loss_action_cls: 0.0521 2023/03/10 20:25:12 - mmengine - INFO - Saving checkpoint at 5 epochs 2023/03/10 20:25:19 - mmengine - INFO - Epoch(val) [5][ 20/6282] eta: 0:08:24 time: 0.0806 data_time: 0.0350 memory: 2331 2023/03/10 20:25:20 - mmengine - INFO - Epoch(val) [5][ 40/6282] eta: 0:07:05 time: 0.0557 data_time: 0.0119 memory: 2331 2023/03/10 20:25:21 - mmengine - INFO - Epoch(val) [5][ 60/6282] eta: 0:06:39 time: 0.0563 data_time: 0.0127 memory: 2331 2023/03/10 20:25:22 - mmengine - INFO - Epoch(val) [5][ 80/6282] eta: 0:06:23 time: 0.0546 data_time: 0.0118 memory: 2331 2023/03/10 20:25:24 - mmengine - INFO - Epoch(val) [5][ 100/6282] eta: 0:07:22 time: 0.1106 data_time: 0.0679 memory: 2331 2023/03/10 20:25:26 - mmengine - INFO - Epoch(val) [5][ 120/6282] eta: 0:07:10 time: 0.0617 data_time: 0.0043 memory: 2934 2023/03/10 20:25:27 - mmengine - INFO - Epoch(val) [5][ 140/6282] eta: 0:07:03 time: 0.0632 data_time: 0.0023 memory: 2934 2023/03/10 20:25:28 - mmengine - INFO - Epoch(val) [5][ 160/6282] eta: 0:06:56 time: 0.0617 data_time: 0.0021 memory: 2934 2023/03/10 20:25:29 - mmengine - INFO - Epoch(val) [5][ 180/6282] eta: 0:06:52 time: 0.0641 data_time: 0.0022 memory: 2934 2023/03/10 20:25:31 - mmengine - INFO - Epoch(val) [5][ 200/6282] eta: 0:06:48 time: 0.0631 data_time: 0.0026 memory: 2934 2023/03/10 20:25:32 - mmengine - INFO - Epoch(val) [5][ 220/6282] eta: 0:06:36 time: 0.0485 data_time: 0.0028 memory: 2396 2023/03/10 20:25:33 - mmengine - INFO - Epoch(val) [5][ 240/6282] eta: 0:06:27 time: 0.0493 data_time: 0.0032 memory: 2396 2023/03/10 20:25:34 - mmengine - INFO - Epoch(val) [5][ 260/6282] eta: 0:06:19 time: 0.0492 data_time: 0.0029 memory: 2396 2023/03/10 20:25:35 - mmengine - INFO - Epoch(val) [5][ 280/6282] eta: 0:06:12 time: 0.0491 data_time: 0.0031 memory: 2396 2023/03/10 20:25:36 - mmengine - INFO - Epoch(val) [5][ 300/6282] eta: 0:06:09 time: 0.0576 data_time: 0.0034 memory: 2934 2023/03/10 20:25:37 - mmengine - INFO - Epoch(val) [5][ 320/6282] eta: 0:06:08 time: 0.0632 data_time: 0.0027 memory: 2934 2023/03/10 20:25:38 - mmengine - INFO - Epoch(val) [5][ 340/6282] eta: 0:06:08 time: 0.0670 data_time: 0.0064 memory: 2934 2023/03/10 20:25:40 - mmengine - INFO - Epoch(val) [5][ 360/6282] eta: 0:06:08 time: 0.0650 data_time: 0.0055 memory: 2934 2023/03/10 20:25:41 - mmengine - INFO - Epoch(val) [5][ 380/6282] eta: 0:06:09 time: 0.0690 data_time: 0.0076 memory: 2934 2023/03/10 20:25:42 - mmengine - INFO - Epoch(val) [5][ 400/6282] eta: 0:06:07 time: 0.0603 data_time: 0.0073 memory: 2934 2023/03/10 20:25:43 - mmengine - INFO - Epoch(val) [5][ 420/6282] eta: 0:06:06 time: 0.0633 data_time: 0.0156 memory: 2397 2023/03/10 20:25:45 - mmengine - INFO - Epoch(val) [5][ 440/6282] eta: 0:06:04 time: 0.0590 data_time: 0.0141 memory: 2397 2023/03/10 20:25:46 - mmengine - INFO - Epoch(val) [5][ 460/6282] eta: 0:06:02 time: 0.0606 data_time: 0.0142 memory: 2397 2023/03/10 20:25:47 - mmengine - INFO - Epoch(val) [5][ 480/6282] eta: 0:06:00 time: 0.0599 data_time: 0.0126 memory: 2397 2023/03/10 20:25:48 - mmengine - INFO - Epoch(val) [5][ 500/6282] eta: 0:05:59 time: 0.0612 data_time: 0.0150 memory: 2397 2023/03/10 20:25:49 - mmengine - INFO - Epoch(val) [5][ 520/6282] eta: 0:05:57 time: 0.0589 data_time: 0.0125 memory: 2396 2023/03/10 20:25:51 - mmengine - INFO - Epoch(val) [5][ 540/6282] eta: 0:05:55 time: 0.0568 data_time: 0.0120 memory: 2396 2023/03/10 20:25:52 - mmengine - INFO - Epoch(val) [5][ 560/6282] eta: 0:05:54 time: 0.0654 data_time: 0.0207 memory: 2396 2023/03/10 20:25:53 - mmengine - INFO - Epoch(val) [5][ 580/6282] eta: 0:05:52 time: 0.0594 data_time: 0.0137 memory: 2396 2023/03/10 20:25:54 - mmengine - INFO - Epoch(val) [5][ 600/6282] eta: 0:05:52 time: 0.0653 data_time: 0.0184 memory: 2396 2023/03/10 20:25:55 - mmengine - INFO - Epoch(val) [5][ 620/6282] eta: 0:05:49 time: 0.0532 data_time: 0.0096 memory: 2396 2023/03/10 20:25:57 - mmengine - INFO - Epoch(val) [5][ 640/6282] eta: 0:05:47 time: 0.0565 data_time: 0.0126 memory: 2332 2023/03/10 20:25:58 - mmengine - INFO - Epoch(val) [5][ 660/6282] eta: 0:05:43 time: 0.0467 data_time: 0.0024 memory: 2332 2023/03/10 20:25:58 - mmengine - INFO - Epoch(val) [5][ 680/6282] eta: 0:05:39 time: 0.0463 data_time: 0.0027 memory: 2332 2023/03/10 20:25:59 - mmengine - INFO - Epoch(val) [5][ 700/6282] eta: 0:05:36 time: 0.0473 data_time: 0.0028 memory: 2332 2023/03/10 20:26:01 - mmengine - INFO - Epoch(val) [5][ 720/6282] eta: 0:05:37 time: 0.0771 data_time: 0.0209 memory: 2934 2023/03/10 20:26:04 - mmengine - INFO - Epoch(val) [5][ 740/6282] eta: 0:05:51 time: 0.1611 data_time: 0.0994 memory: 2934 2023/03/10 20:26:06 - mmengine - INFO - Epoch(val) [5][ 760/6282] eta: 0:05:54 time: 0.0924 data_time: 0.0290 memory: 2934 2023/03/10 20:26:08 - mmengine - INFO - Epoch(val) [5][ 780/6282] eta: 0:05:57 time: 0.0940 data_time: 0.0340 memory: 2934 2023/03/10 20:26:10 - mmengine - INFO - Epoch(val) [5][ 800/6282] eta: 0:05:59 time: 0.0874 data_time: 0.0276 memory: 2934 2023/03/10 20:26:11 - mmengine - INFO - Epoch(val) [5][ 820/6282] eta: 0:05:58 time: 0.0707 data_time: 0.0181 memory: 2934 2023/03/10 20:26:13 - mmengine - INFO - Epoch(val) [5][ 840/6282] eta: 0:05:59 time: 0.0784 data_time: 0.0336 memory: 2396 2023/03/10 20:26:14 - mmengine - INFO - Epoch(val) [5][ 860/6282] eta: 0:05:57 time: 0.0644 data_time: 0.0163 memory: 2396 2023/03/10 20:26:15 - mmengine - INFO - Epoch(val) [5][ 880/6282] eta: 0:05:54 time: 0.0556 data_time: 0.0105 memory: 2396 2023/03/10 20:26:16 - mmengine - INFO - Epoch(val) [5][ 900/6282] eta: 0:05:54 time: 0.0693 data_time: 0.0245 memory: 2396 2023/03/10 20:26:18 - mmengine - INFO - Epoch(val) [5][ 920/6282] eta: 0:05:51 time: 0.0548 data_time: 0.0100 memory: 2396 2023/03/10 20:26:19 - mmengine - INFO - Epoch(val) [5][ 940/6282] eta: 0:05:49 time: 0.0620 data_time: 0.0181 memory: 2331 2023/03/10 20:26:20 - mmengine - INFO - Epoch(val) [5][ 960/6282] eta: 0:05:47 time: 0.0553 data_time: 0.0110 memory: 2331 2023/03/10 20:26:21 - mmengine - INFO - Epoch(val) [5][ 980/6282] eta: 0:05:45 time: 0.0597 data_time: 0.0169 memory: 2331 2023/03/10 20:26:22 - mmengine - INFO - Epoch(val) [5][1000/6282] eta: 0:05:43 time: 0.0575 data_time: 0.0138 memory: 2331 2023/03/10 20:26:24 - mmengine - INFO - Epoch(val) [5][1020/6282] eta: 0:05:41 time: 0.0630 data_time: 0.0199 memory: 2396 2023/03/10 20:26:25 - mmengine - INFO - Epoch(val) [5][1040/6282] eta: 0:05:39 time: 0.0546 data_time: 0.0076 memory: 2396 2023/03/10 20:26:26 - mmengine - INFO - Epoch(val) [5][1060/6282] eta: 0:05:37 time: 0.0605 data_time: 0.0137 memory: 2396 2023/03/10 20:26:27 - mmengine - INFO - Epoch(val) [5][1080/6282] eta: 0:05:35 time: 0.0560 data_time: 0.0109 memory: 2396 2023/03/10 20:26:28 - mmengine - INFO - Epoch(val) [5][1100/6282] eta: 0:05:34 time: 0.0657 data_time: 0.0170 memory: 2396 2023/03/10 20:26:29 - mmengine - INFO - Epoch(val) [5][1120/6282] eta: 0:05:32 time: 0.0532 data_time: 0.0084 memory: 2396 2023/03/10 20:26:31 - mmengine - INFO - Epoch(val) [5][1140/6282] eta: 0:05:30 time: 0.0592 data_time: 0.0121 memory: 2396 2023/03/10 20:26:32 - mmengine - INFO 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eta: 0:05:28 time: 0.0677 data_time: 0.0025 memory: 2934 2023/03/10 20:27:00 - mmengine - INFO - Epoch(val) [5][1500/6282] eta: 0:05:26 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 20:27:01 - mmengine - INFO - Epoch(val) [5][1520/6282] eta: 0:05:25 time: 0.0627 data_time: 0.0023 memory: 3958 2023/03/10 20:27:03 - mmengine - INFO - Epoch(val) [5][1540/6282] eta: 0:05:24 time: 0.0856 data_time: 0.0026 memory: 3958 2023/03/10 20:27:05 - mmengine - INFO - Epoch(val) [5][1560/6282] eta: 0:05:24 time: 0.0860 data_time: 0.0029 memory: 3958 2023/03/10 20:27:06 - mmengine - INFO - Epoch(val) [5][1580/6282] eta: 0:05:24 time: 0.0870 data_time: 0.0027 memory: 3958 2023/03/10 20:27:08 - mmengine - INFO - Epoch(val) [5][1600/6282] eta: 0:05:23 time: 0.0857 data_time: 0.0026 memory: 3958 2023/03/10 20:27:10 - mmengine - INFO - Epoch(val) [5][1620/6282] eta: 0:05:23 time: 0.0864 data_time: 0.0028 memory: 3958 2023/03/10 20:27:11 - mmengine - INFO - Epoch(val) [5][1640/6282] eta: 0:05:21 time: 0.0619 data_time: 0.0027 memory: 2934 2023/03/10 20:27:12 - mmengine - INFO - Epoch(val) [5][1660/6282] eta: 0:05:19 time: 0.0619 data_time: 0.0024 memory: 2934 2023/03/10 20:27:14 - mmengine - INFO - Epoch(val) [5][1680/6282] eta: 0:05:18 time: 0.0616 data_time: 0.0024 memory: 2934 2023/03/10 20:27:15 - mmengine - INFO - Epoch(val) [5][1700/6282] eta: 0:05:16 time: 0.0623 data_time: 0.0023 memory: 2934 2023/03/10 20:27:16 - mmengine - INFO - Epoch(val) [5][1720/6282] eta: 0:05:14 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 20:27:17 - mmengine - INFO - Epoch(val) [5][1740/6282] eta: 0:05:12 time: 0.0629 data_time: 0.0022 memory: 2934 2023/03/10 20:27:19 - mmengine - INFO - Epoch(val) [5][1760/6282] eta: 0:05:11 time: 0.0617 data_time: 0.0024 memory: 2934 2023/03/10 20:27:20 - mmengine - INFO - Epoch(val) [5][1780/6282] eta: 0:05:09 time: 0.0613 data_time: 0.0023 memory: 2934 2023/03/10 20:27:21 - mmengine - INFO - Epoch(val) [5][1800/6282] eta: 0:05:07 time: 0.0640 data_time: 0.0028 memory: 2934 2023/03/10 20:27:22 - mmengine - INFO - Epoch(val) [5][1820/6282] eta: 0:05:06 time: 0.0626 data_time: 0.0028 memory: 2934 2023/03/10 20:27:24 - mmengine - INFO - Epoch(val) [5][1840/6282] eta: 0:05:04 time: 0.0634 data_time: 0.0026 memory: 2934 2023/03/10 20:27:25 - mmengine - INFO - Epoch(val) [5][1860/6282] eta: 0:05:04 time: 0.0933 data_time: 0.0324 memory: 2934 2023/03/10 20:27:27 - mmengine - INFO - Epoch(val) [5][1880/6282] eta: 0:05:04 time: 0.0941 data_time: 0.0332 memory: 2934 2023/03/10 20:27:29 - mmengine - INFO - Epoch(val) [5][1900/6282] eta: 0:05:03 time: 0.0953 data_time: 0.0350 memory: 2934 2023/03/10 20:27:31 - mmengine - INFO - Epoch(val) [5][1920/6282] eta: 0:05:03 time: 0.0816 data_time: 0.0215 memory: 2934 2023/03/10 20:27:33 - mmengine - INFO - Epoch(val) [5][1940/6282] eta: 0:05:03 time: 0.1211 data_time: 0.0648 memory: 2934 2023/03/10 20:27:34 - mmengine - INFO - Epoch(val) [5][1960/6282] eta: 0:05:02 time: 0.0597 data_time: 0.0145 memory: 2397 2023/03/10 20:27:36 - mmengine - INFO - Epoch(val) [5][1980/6282] eta: 0:05:00 time: 0.0547 data_time: 0.0087 memory: 2397 2023/03/10 20:27:37 - mmengine - INFO - Epoch(val) [5][2000/6282] eta: 0:04:58 time: 0.0749 data_time: 0.0264 memory: 2397 2023/03/10 20:27:38 - mmengine - INFO - Epoch(val) [5][2020/6282] eta: 0:04:56 time: 0.0542 data_time: 0.0072 memory: 2397 2023/03/10 20:27:39 - mmengine - INFO - Epoch(val) [5][2040/6282] eta: 0:04:55 time: 0.0615 data_time: 0.0152 memory: 2397 2023/03/10 20:27:41 - mmengine - INFO - Epoch(val) [5][2060/6282] eta: 0:04:53 time: 0.0557 data_time: 0.0096 memory: 2397 2023/03/10 20:27:42 - mmengine - INFO - Epoch(val) [5][2080/6282] eta: 0:04:51 time: 0.0598 data_time: 0.0149 memory: 2397 2023/03/10 20:27:43 - mmengine - INFO - Epoch(val) [5][2100/6282] eta: 0:04:49 time: 0.0579 data_time: 0.0130 memory: 2397 2023/03/10 20:27:44 - mmengine - INFO - Epoch(val) [5][2120/6282] eta: 0:04:47 time: 0.0633 data_time: 0.0122 memory: 2397 2023/03/10 20:27:45 - mmengine - INFO - Epoch(val) [5][2140/6282] eta: 0:04:46 time: 0.0565 data_time: 0.0094 memory: 2397 2023/03/10 20:27:46 - mmengine - INFO - Epoch(val) [5][2160/6282] eta: 0:04:44 time: 0.0558 data_time: 0.0107 memory: 2396 2023/03/10 20:27:48 - mmengine - INFO - Epoch(val) [5][2180/6282] eta: 0:04:42 time: 0.0612 data_time: 0.0155 memory: 2396 2023/03/10 20:27:49 - mmengine - INFO - Epoch(val) [5][2200/6282] eta: 0:04:40 time: 0.0594 data_time: 0.0144 memory: 2396 2023/03/10 20:27:50 - mmengine - INFO - Epoch(val) [5][2220/6282] eta: 0:04:38 time: 0.0575 data_time: 0.0113 memory: 2396 2023/03/10 20:27:51 - mmengine - INFO - Epoch(val) [5][2240/6282] eta: 0:04:37 time: 0.0557 data_time: 0.0087 memory: 2396 2023/03/10 20:27:52 - mmengine - INFO - Epoch(val) [5][2260/6282] eta: 0:04:35 time: 0.0580 data_time: 0.0129 memory: 2397 2023/03/10 20:27:53 - mmengine - INFO - Epoch(val) [5][2280/6282] eta: 0:04:33 time: 0.0590 data_time: 0.0120 memory: 2397 2023/03/10 20:27:55 - mmengine - INFO - Epoch(val) [5][2300/6282] eta: 0:04:31 time: 0.0576 data_time: 0.0103 memory: 2397 2023/03/10 20:27:56 - mmengine - INFO - Epoch(val) [5][2320/6282] eta: 0:04:30 time: 0.0590 data_time: 0.0142 memory: 2397 2023/03/10 20:27:57 - mmengine - INFO - Epoch(val) [5][2340/6282] eta: 0:04:28 time: 0.0659 data_time: 0.0195 memory: 2397 2023/03/10 20:27:58 - mmengine - INFO - Epoch(val) [5][2360/6282] eta: 0:04:27 time: 0.0597 data_time: 0.0127 memory: 2396 2023/03/10 20:27:59 - mmengine - INFO - Epoch(val) [5][2380/6282] eta: 0:04:25 time: 0.0574 data_time: 0.0116 memory: 2396 2023/03/10 20:28:00 - mmengine - INFO - Epoch(val) [5][2400/6282] eta: 0:04:23 time: 0.0516 data_time: 0.0037 memory: 2396 2023/03/10 20:28:01 - mmengine - INFO - Epoch(val) [5][2420/6282] eta: 0:04:21 time: 0.0508 data_time: 0.0025 memory: 2396 2023/03/10 20:28:02 - mmengine - INFO - Epoch(val) [5][2440/6282] eta: 0:04:19 time: 0.0489 data_time: 0.0026 memory: 2396 2023/03/10 20:28:04 - mmengine - INFO - Epoch(val) [5][2460/6282] eta: 0:04:18 time: 0.0627 data_time: 0.0029 memory: 2934 2023/03/10 20:28:05 - mmengine - INFO - Epoch(val) [5][2480/6282] eta: 0:04:16 time: 0.0644 data_time: 0.0028 memory: 2934 2023/03/10 20:28:06 - mmengine - INFO - Epoch(val) [5][2500/6282] eta: 0:04:15 time: 0.0648 data_time: 0.0032 memory: 2934 2023/03/10 20:28:08 - mmengine - INFO - Epoch(val) [5][2520/6282] eta: 0:04:13 time: 0.0673 data_time: 0.0040 memory: 2934 2023/03/10 20:28:09 - mmengine - INFO - Epoch(val) [5][2540/6282] eta: 0:04:12 time: 0.0669 data_time: 0.0037 memory: 2934 2023/03/10 20:28:11 - mmengine - INFO - Epoch(val) [5][2560/6282] eta: 0:04:12 time: 0.0956 data_time: 0.0343 memory: 2934 2023/03/10 20:28:13 - mmengine - INFO - Epoch(val) [5][2580/6282] eta: 0:04:11 time: 0.0982 data_time: 0.0368 memory: 2934 2023/03/10 20:28:15 - mmengine - INFO - Epoch(val) [5][2600/6282] eta: 0:04:11 time: 0.0980 data_time: 0.0361 memory: 2934 2023/03/10 20:28:17 - mmengine - INFO - Epoch(val) [5][2620/6282] eta: 0:04:10 time: 0.0978 data_time: 0.0378 memory: 2934 2023/03/10 20:28:18 - mmengine - INFO - Epoch(val) [5][2640/6282] eta: 0:04:09 time: 0.0682 data_time: 0.0086 memory: 2934 2023/03/10 20:28:20 - mmengine - INFO - Epoch(val) [5][2660/6282] eta: 0:04:08 time: 0.0831 data_time: 0.0022 memory: 3842 2023/03/10 20:28:22 - mmengine - INFO - Epoch(val) [5][2680/6282] eta: 0:04:07 time: 0.0838 data_time: 0.0027 memory: 3842 2023/03/10 20:28:23 - mmengine - INFO - Epoch(val) [5][2700/6282] eta: 0:04:06 time: 0.0844 data_time: 0.0029 memory: 3842 2023/03/10 20:28:25 - mmengine - INFO - Epoch(val) [5][2720/6282] eta: 0:04:05 time: 0.0839 data_time: 0.0026 memory: 3842 2023/03/10 20:28:26 - mmengine - INFO - Epoch(val) [5][2740/6282] eta: 0:04:04 time: 0.0788 data_time: 0.0027 memory: 3842 2023/03/10 20:28:27 - mmengine - INFO - Epoch(val) [5][2760/6282] eta: 0:04:02 time: 0.0487 data_time: 0.0022 memory: 2397 2023/03/10 20:28:28 - mmengine - INFO - Epoch(val) [5][2780/6282] eta: 0:04:00 time: 0.0489 data_time: 0.0023 memory: 2397 2023/03/10 20:28:29 - mmengine - INFO - Epoch(val) [5][2800/6282] eta: 0:03:58 time: 0.0510 data_time: 0.0058 memory: 2397 2023/03/10 20:28:31 - mmengine - INFO - Epoch(val) [5][2820/6282] eta: 0:03:56 time: 0.0545 data_time: 0.0082 memory: 2397 2023/03/10 20:28:32 - mmengine - INFO - Epoch(val) [5][2840/6282] eta: 0:03:55 time: 0.0491 data_time: 0.0028 memory: 2397 2023/03/10 20:28:33 - mmengine - INFO - Epoch(val) [5][2860/6282] eta: 0:03:53 time: 0.0607 data_time: 0.0035 memory: 2934 2023/03/10 20:28:34 - mmengine - INFO - Epoch(val) [5][2880/6282] eta: 0:03:52 time: 0.0649 data_time: 0.0052 memory: 2934 2023/03/10 20:28:35 - mmengine - INFO - Epoch(val) [5][2900/6282] eta: 0:03:50 time: 0.0708 data_time: 0.0105 memory: 2934 2023/03/10 20:28:37 - mmengine - INFO - Epoch(val) [5][2920/6282] eta: 0:03:49 time: 0.0742 data_time: 0.0214 memory: 2934 2023/03/10 20:28:38 - mmengine - INFO - Epoch(val) [5][2940/6282] eta: 0:03:47 time: 0.0577 data_time: 0.0063 memory: 2609 2023/03/10 20:28:39 - mmengine - INFO - Epoch(val) [5][2960/6282] eta: 0:03:46 time: 0.0580 data_time: 0.0079 memory: 2609 2023/03/10 20:28:40 - mmengine - INFO - Epoch(val) [5][2980/6282] eta: 0:03:44 time: 0.0595 data_time: 0.0076 memory: 2609 2023/03/10 20:28:42 - mmengine - INFO - Epoch(val) [5][3000/6282] eta: 0:03:43 time: 0.0539 data_time: 0.0029 memory: 2609 2023/03/10 20:28:43 - mmengine - INFO - Epoch(val) [5][3020/6282] eta: 0:03:41 time: 0.0611 data_time: 0.0021 memory: 2934 2023/03/10 20:28:44 - mmengine - INFO - Epoch(val) [5][3040/6282] eta: 0:03:40 time: 0.0627 data_time: 0.0033 memory: 2934 2023/03/10 20:28:45 - mmengine - INFO - Epoch(val) [5][3060/6282] eta: 0:03:38 time: 0.0614 data_time: 0.0021 memory: 2934 2023/03/10 20:28:47 - mmengine - INFO - Epoch(val) [5][3080/6282] eta: 0:03:37 time: 0.0637 data_time: 0.0023 memory: 2934 2023/03/10 20:28:48 - mmengine - INFO - Epoch(val) [5][3100/6282] eta: 0:03:35 time: 0.0579 data_time: 0.0021 memory: 2934 2023/03/10 20:28:49 - mmengine - INFO - Epoch(val) [5][3120/6282] eta: 0:03:33 time: 0.0496 data_time: 0.0021 memory: 2397 2023/03/10 20:28:50 - mmengine - INFO - Epoch(val) [5][3140/6282] eta: 0:03:32 time: 0.0538 data_time: 0.0063 memory: 2397 2023/03/10 20:28:51 - mmengine - INFO - Epoch(val) [5][3160/6282] eta: 0:03:30 time: 0.0534 data_time: 0.0075 memory: 2397 2023/03/10 20:28:52 - mmengine - INFO - Epoch(val) [5][3180/6282] eta: 0:03:28 time: 0.0492 data_time: 0.0034 memory: 2397 2023/03/10 20:28:53 - mmengine - INFO - Epoch(val) [5][3200/6282] eta: 0:03:27 time: 0.0615 data_time: 0.0051 memory: 2934 2023/03/10 20:28:54 - mmengine - INFO - Epoch(val) [5][3220/6282] eta: 0:03:26 time: 0.0679 data_time: 0.0073 memory: 2934 2023/03/10 20:28:56 - mmengine - INFO - Epoch(val) [5][3240/6282] eta: 0:03:24 time: 0.0631 data_time: 0.0027 memory: 2934 2023/03/10 20:28:57 - mmengine - INFO - Epoch(val) [5][3260/6282] eta: 0:03:23 time: 0.0777 data_time: 0.0151 memory: 2934 2023/03/10 20:28:59 - mmengine - INFO - Epoch(val) [5][3280/6282] eta: 0:03:22 time: 0.0670 data_time: 0.0023 memory: 2934 2023/03/10 20:29:00 - mmengine - INFO - Epoch(val) [5][3300/6282] eta: 0:03:20 time: 0.0640 data_time: 0.0021 memory: 2934 2023/03/10 20:29:01 - mmengine - INFO - Epoch(val) [5][3320/6282] eta: 0:03:19 time: 0.0660 data_time: 0.0024 memory: 2934 2023/03/10 20:29:02 - mmengine - INFO - Epoch(val) [5][3340/6282] eta: 0:03:17 time: 0.0617 data_time: 0.0023 memory: 2934 2023/03/10 20:29:04 - mmengine - INFO - Epoch(val) [5][3360/6282] eta: 0:03:16 time: 0.0618 data_time: 0.0024 memory: 2934 2023/03/10 20:29:05 - mmengine - INFO - Epoch(val) [5][3380/6282] eta: 0:03:15 time: 0.0587 data_time: 0.0022 memory: 2934 2023/03/10 20:29:06 - mmengine - INFO - Epoch(val) [5][3400/6282] eta: 0:03:13 time: 0.0486 data_time: 0.0021 memory: 2396 2023/03/10 20:29:07 - mmengine - INFO - Epoch(val) [5][3420/6282] eta: 0:03:11 time: 0.0543 data_time: 0.0081 memory: 2396 2023/03/10 20:29:08 - mmengine - INFO - Epoch(val) [5][3440/6282] eta: 0:03:10 time: 0.0588 data_time: 0.0119 memory: 2396 2023/03/10 20:29:09 - mmengine - INFO - Epoch(val) [5][3460/6282] eta: 0:03:08 time: 0.0590 data_time: 0.0108 memory: 2396 2023/03/10 20:29:11 - mmengine - INFO - Epoch(val) [5][3480/6282] eta: 0:03:07 time: 0.0608 data_time: 0.0119 memory: 2396 2023/03/10 20:29:12 - mmengine - INFO - Epoch(val) [5][3500/6282] eta: 0:03:05 time: 0.0544 data_time: 0.0086 memory: 2396 2023/03/10 20:29:13 - mmengine - INFO - Epoch(val) [5][3520/6282] eta: 0:03:04 time: 0.0596 data_time: 0.0149 memory: 2396 2023/03/10 20:29:14 - mmengine - INFO - Epoch(val) [5][3540/6282] eta: 0:03:03 time: 0.0703 data_time: 0.0255 memory: 2396 2023/03/10 20:29:15 - mmengine - INFO - Epoch(val) [5][3560/6282] eta: 0:03:01 time: 0.0620 data_time: 0.0172 memory: 2396 2023/03/10 20:29:17 - mmengine - INFO - Epoch(val) [5][3580/6282] eta: 0:03:00 time: 0.0739 data_time: 0.0242 memory: 2765 2023/03/10 20:29:18 - mmengine - INFO - Epoch(val) [5][3600/6282] eta: 0:02:59 time: 0.0592 data_time: 0.0026 memory: 2765 2023/03/10 20:29:19 - mmengine - INFO - Epoch(val) [5][3620/6282] eta: 0:02:57 time: 0.0597 data_time: 0.0031 memory: 2765 2023/03/10 20:29:20 - mmengine - INFO - Epoch(val) [5][3640/6282] eta: 0:02:56 time: 0.0574 data_time: 0.0024 memory: 2765 2023/03/10 20:29:22 - mmengine - INFO - Epoch(val) [5][3660/6282] eta: 0:02:54 time: 0.0581 data_time: 0.0026 memory: 2765 2023/03/10 20:29:23 - mmengine - INFO - Epoch(val) [5][3680/6282] eta: 0:02:53 time: 0.0610 data_time: 0.0030 memory: 2934 2023/03/10 20:29:24 - mmengine - INFO - Epoch(val) [5][3700/6282] eta: 0:02:51 time: 0.0647 data_time: 0.0037 memory: 2934 2023/03/10 20:29:25 - mmengine - INFO - Epoch(val) [5][3720/6282] eta: 0:02:50 time: 0.0643 data_time: 0.0034 memory: 2934 2023/03/10 20:29:27 - mmengine - INFO - Epoch(val) [5][3740/6282] eta: 0:02:49 time: 0.0632 data_time: 0.0029 memory: 2934 2023/03/10 20:29:28 - mmengine - INFO - Epoch(val) [5][3760/6282] eta: 0:02:47 time: 0.0698 data_time: 0.0038 memory: 2934 2023/03/10 20:29:29 - mmengine - INFO - Epoch(val) [5][3780/6282] eta: 0:02:46 time: 0.0646 data_time: 0.0030 memory: 2934 2023/03/10 20:29:31 - mmengine - INFO - Epoch(val) [5][3800/6282] eta: 0:02:45 time: 0.0644 data_time: 0.0032 memory: 2934 2023/03/10 20:29:32 - mmengine - INFO - Epoch(val) [5][3820/6282] eta: 0:02:43 time: 0.0647 data_time: 0.0034 memory: 2934 2023/03/10 20:29:33 - mmengine - INFO - Epoch(val) [5][3840/6282] eta: 0:02:42 time: 0.0636 data_time: 0.0029 memory: 2934 2023/03/10 20:29:35 - mmengine - INFO - Epoch(val) [5][3860/6282] eta: 0:02:41 time: 0.0637 data_time: 0.0031 memory: 2934 2023/03/10 20:29:36 - mmengine - INFO - Epoch(val) [5][3880/6282] eta: 0:02:39 time: 0.0637 data_time: 0.0031 memory: 2934 2023/03/10 20:29:37 - mmengine - INFO - Epoch(val) [5][3900/6282] eta: 0:02:38 time: 0.0626 data_time: 0.0027 memory: 2934 2023/03/10 20:29:38 - mmengine - INFO - Epoch(val) [5][3920/6282] eta: 0:02:37 time: 0.0637 data_time: 0.0028 memory: 2934 2023/03/10 20:29:40 - mmengine - INFO - Epoch(val) [5][3940/6282] eta: 0:02:35 time: 0.0635 data_time: 0.0027 memory: 2934 2023/03/10 20:29:41 - mmengine - INFO - Epoch(val) [5][3960/6282] eta: 0:02:34 time: 0.0624 data_time: 0.0025 memory: 2934 2023/03/10 20:29:42 - mmengine - INFO - Epoch(val) [5][3980/6282] eta: 0:02:32 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 20:29:43 - mmengine - INFO - Epoch(val) [5][4000/6282] eta: 0:02:31 time: 0.0617 data_time: 0.0021 memory: 2934 2023/03/10 20:29:45 - mmengine - INFO - Epoch(val) [5][4020/6282] eta: 0:02:30 time: 0.0614 data_time: 0.0021 memory: 2934 2023/03/10 20:29:46 - mmengine - INFO - Epoch(val) [5][4040/6282] eta: 0:02:28 time: 0.0650 data_time: 0.0022 memory: 3842 2023/03/10 20:29:48 - mmengine - INFO - Epoch(val) [5][4060/6282] eta: 0:02:27 time: 0.0833 data_time: 0.0023 memory: 3842 2023/03/10 20:29:49 - mmengine - INFO 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eta: 0:02:04 time: 0.0624 data_time: 0.0023 memory: 2934 2023/03/10 20:30:11 - mmengine - INFO - Epoch(val) [5][4420/6282] eta: 0:02:03 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/10 20:30:12 - mmengine - INFO - Epoch(val) [5][4440/6282] eta: 0:02:02 time: 0.0632 data_time: 0.0023 memory: 3023 2023/03/10 20:30:14 - mmengine - INFO - Epoch(val) [5][4460/6282] eta: 0:02:00 time: 0.0641 data_time: 0.0023 memory: 3023 2023/03/10 20:30:15 - mmengine - INFO - Epoch(val) [5][4480/6282] eta: 0:01:59 time: 0.0641 data_time: 0.0023 memory: 3023 2023/03/10 20:30:16 - mmengine - INFO - Epoch(val) [5][4500/6282] eta: 0:01:58 time: 0.0646 data_time: 0.0024 memory: 3023 2023/03/10 20:30:17 - mmengine - INFO - Epoch(val) [5][4520/6282] eta: 0:01:56 time: 0.0610 data_time: 0.0021 memory: 3023 2023/03/10 20:30:18 - mmengine - INFO - Epoch(val) [5][4540/6282] eta: 0:01:55 time: 0.0484 data_time: 0.0021 memory: 2464 2023/03/10 20:30:20 - mmengine - INFO - Epoch(val) [5][4560/6282] eta: 0:01:53 time: 0.0561 data_time: 0.0091 memory: 2464 2023/03/10 20:30:21 - mmengine - INFO - Epoch(val) [5][4580/6282] eta: 0:01:52 time: 0.0589 data_time: 0.0122 memory: 2464 2023/03/10 20:30:22 - mmengine - INFO - Epoch(val) [5][4600/6282] eta: 0:01:51 time: 0.0557 data_time: 0.0096 memory: 2464 2023/03/10 20:30:23 - mmengine - INFO - Epoch(val) [5][4620/6282] eta: 0:01:49 time: 0.0563 data_time: 0.0086 memory: 2464 2023/03/10 20:30:24 - mmengine - INFO - Epoch(val) [5][4640/6282] eta: 0:01:48 time: 0.0676 data_time: 0.0045 memory: 3023 2023/03/10 20:30:26 - mmengine - INFO - Epoch(val) [5][4660/6282] eta: 0:01:47 time: 0.0642 data_time: 0.0023 memory: 3023 2023/03/10 20:30:27 - mmengine - INFO - Epoch(val) [5][4680/6282] eta: 0:01:45 time: 0.0639 data_time: 0.0021 memory: 3023 2023/03/10 20:30:28 - mmengine - INFO - Epoch(val) [5][4700/6282] eta: 0:01:44 time: 0.0637 data_time: 0.0021 memory: 3023 2023/03/10 20:30:29 - mmengine - INFO - Epoch(val) [5][4720/6282] eta: 0:01:43 time: 0.0644 data_time: 0.0022 memory: 3023 2023/03/10 20:30:31 - mmengine - INFO - Epoch(val) [5][4740/6282] eta: 0:01:41 time: 0.0535 data_time: 0.0022 memory: 2609 2023/03/10 20:30:32 - mmengine - INFO - Epoch(val) [5][4760/6282] eta: 0:01:40 time: 0.0512 data_time: 0.0021 memory: 2609 2023/03/10 20:30:33 - mmengine - INFO - Epoch(val) [5][4780/6282] eta: 0:01:38 time: 0.0515 data_time: 0.0021 memory: 2609 2023/03/10 20:30:34 - mmengine - INFO - Epoch(val) [5][4800/6282] eta: 0:01:37 time: 0.0514 data_time: 0.0021 memory: 2609 2023/03/10 20:30:35 - mmengine - INFO - Epoch(val) [5][4820/6282] eta: 0:01:36 time: 0.0557 data_time: 0.0023 memory: 2934 2023/03/10 20:30:36 - mmengine - INFO - Epoch(val) [5][4840/6282] eta: 0:01:34 time: 0.0643 data_time: 0.0024 memory: 2934 2023/03/10 20:30:37 - mmengine - INFO - Epoch(val) [5][4860/6282] eta: 0:01:33 time: 0.0689 data_time: 0.0066 memory: 2934 2023/03/10 20:30:39 - mmengine - INFO - Epoch(val) [5][4880/6282] eta: 0:01:32 time: 0.0928 data_time: 0.0325 memory: 2934 2023/03/10 20:30:41 - mmengine - INFO - Epoch(val) [5][4900/6282] eta: 0:01:30 time: 0.0638 data_time: 0.0023 memory: 2934 2023/03/10 20:30:42 - mmengine - INFO - Epoch(val) [5][4920/6282] eta: 0:01:29 time: 0.0653 data_time: 0.0023 memory: 2934 2023/03/10 20:30:43 - mmengine - INFO - Epoch(val) [5][4940/6282] eta: 0:01:28 time: 0.0638 data_time: 0.0022 memory: 2934 2023/03/10 20:30:44 - mmengine - INFO - Epoch(val) [5][4960/6282] eta: 0:01:27 time: 0.0666 data_time: 0.0024 memory: 2934 2023/03/10 20:30:46 - mmengine - INFO - Epoch(val) [5][4980/6282] eta: 0:01:25 time: 0.0639 data_time: 0.0022 memory: 2934 2023/03/10 20:30:47 - mmengine - INFO - Epoch(val) [5][5000/6282] eta: 0:01:24 time: 0.0648 data_time: 0.0027 memory: 2934 2023/03/10 20:30:48 - mmengine - INFO - Epoch(val) [5][5020/6282] eta: 0:01:23 time: 0.0553 data_time: 0.0021 memory: 2934 2023/03/10 20:30:49 - mmengine - INFO - Epoch(val) [5][5040/6282] eta: 0:01:21 time: 0.0487 data_time: 0.0022 memory: 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20:31:00 - mmengine - INFO - Epoch(val) [5][5220/6282] eta: 0:01:09 time: 0.0577 data_time: 0.0127 memory: 2396 2023/03/10 20:31:02 - mmengine - INFO - Epoch(val) [5][5240/6282] eta: 0:01:08 time: 0.0610 data_time: 0.0144 memory: 2396 2023/03/10 20:31:03 - mmengine - INFO - Epoch(val) [5][5260/6282] eta: 0:01:06 time: 0.0570 data_time: 0.0103 memory: 2396 2023/03/10 20:31:04 - mmengine - INFO - Epoch(val) [5][5280/6282] eta: 0:01:05 time: 0.0655 data_time: 0.0205 memory: 2396 2023/03/10 20:31:05 - mmengine - INFO - Epoch(val) [5][5300/6282] eta: 0:01:04 time: 0.0571 data_time: 0.0103 memory: 2396 2023/03/10 20:31:06 - mmengine - INFO - Epoch(val) [5][5320/6282] eta: 0:01:02 time: 0.0632 data_time: 0.0159 memory: 2396 2023/03/10 20:31:08 - mmengine - INFO - Epoch(val) [5][5340/6282] eta: 0:01:01 time: 0.0600 data_time: 0.0136 memory: 2396 2023/03/10 20:31:09 - mmengine - INFO - Epoch(val) [5][5360/6282] eta: 0:01:00 time: 0.0579 data_time: 0.0119 memory: 2396 2023/03/10 20:31:10 - mmengine - INFO - Epoch(val) [5][5380/6282] eta: 0:00:59 time: 0.0616 data_time: 0.0145 memory: 2396 2023/03/10 20:31:12 - mmengine - INFO - Epoch(val) [5][5400/6282] eta: 0:00:57 time: 0.0951 data_time: 0.0503 memory: 2396 2023/03/10 20:31:13 - mmengine - INFO - Epoch(val) [5][5420/6282] eta: 0:00:56 time: 0.0582 data_time: 0.0102 memory: 2396 2023/03/10 20:31:14 - mmengine - INFO - Epoch(val) [5][5440/6282] eta: 0:00:55 time: 0.0664 data_time: 0.0198 memory: 2396 2023/03/10 20:31:16 - mmengine - INFO - Epoch(val) [5][5460/6282] eta: 0:00:53 time: 0.0604 data_time: 0.0127 memory: 2396 2023/03/10 20:31:17 - mmengine - INFO - Epoch(val) [5][5480/6282] eta: 0:00:52 time: 0.0689 data_time: 0.0229 memory: 2396 2023/03/10 20:31:18 - mmengine - INFO - Epoch(val) [5][5500/6282] eta: 0:00:51 time: 0.0567 data_time: 0.0094 memory: 2396 2023/03/10 20:31:20 - mmengine - INFO - Epoch(val) [5][5520/6282] eta: 0:00:49 time: 0.0673 data_time: 0.0172 memory: 2608 2023/03/10 20:31:21 - mmengine - INFO 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[5][5700/6282] eta: 0:00:38 time: 0.0594 data_time: 0.0130 memory: 2396 2023/03/10 20:31:32 - mmengine - INFO - Epoch(val) [5][5720/6282] eta: 0:00:36 time: 0.0619 data_time: 0.0133 memory: 2686 2023/03/10 20:31:33 - mmengine - INFO - Epoch(val) [5][5740/6282] eta: 0:00:35 time: 0.0583 data_time: 0.0041 memory: 2686 2023/03/10 20:31:34 - mmengine - INFO - Epoch(val) [5][5760/6282] eta: 0:00:34 time: 0.0624 data_time: 0.0021 memory: 2686 2023/03/10 20:31:35 - mmengine - INFO - Epoch(val) [5][5780/6282] eta: 0:00:32 time: 0.0568 data_time: 0.0019 memory: 2686 2023/03/10 20:31:37 - mmengine - INFO - Epoch(val) [5][5800/6282] eta: 0:00:31 time: 0.0641 data_time: 0.0086 memory: 2686 2023/03/10 20:31:38 - mmengine - INFO - Epoch(val) [5][5820/6282] eta: 0:00:30 time: 0.0575 data_time: 0.0062 memory: 2686 2023/03/10 20:31:39 - mmengine - INFO - Epoch(val) [5][5840/6282] eta: 0:00:28 time: 0.0632 data_time: 0.0112 memory: 2608 2023/03/10 20:31:40 - mmengine - INFO - Epoch(val) [5][5860/6282] eta: 0:00:27 time: 0.0599 data_time: 0.0104 memory: 2608 2023/03/10 20:31:41 - mmengine - INFO - Epoch(val) [5][5880/6282] eta: 0:00:26 time: 0.0611 data_time: 0.0093 memory: 2608 2023/03/10 20:31:43 - mmengine - INFO - Epoch(val) [5][5900/6282] eta: 0:00:24 time: 0.0598 data_time: 0.0093 memory: 2608 2023/03/10 20:31:44 - mmengine - INFO - Epoch(val) [5][5920/6282] eta: 0:00:23 time: 0.0623 data_time: 0.0146 memory: 2608 2023/03/10 20:31:45 - mmengine - INFO - Epoch(val) [5][5940/6282] eta: 0:00:22 time: 0.0590 data_time: 0.0123 memory: 2396 2023/03/10 20:31:46 - mmengine - INFO - Epoch(val) [5][5960/6282] eta: 0:00:20 time: 0.0590 data_time: 0.0126 memory: 2396 2023/03/10 20:31:47 - mmengine - INFO - Epoch(val) [5][5980/6282] eta: 0:00:19 time: 0.0607 data_time: 0.0158 memory: 2396 2023/03/10 20:31:49 - mmengine - INFO - Epoch(val) [5][6000/6282] eta: 0:00:18 time: 0.0645 data_time: 0.0064 memory: 2934 2023/03/10 20:31:50 - mmengine - INFO - Epoch(val) [5][6020/6282] eta: 0:00:17 time: 0.0640 data_time: 0.0024 memory: 2934 2023/03/10 20:31:51 - mmengine - INFO - Epoch(val) [5][6040/6282] eta: 0:00:15 time: 0.0646 data_time: 0.0030 memory: 2934 2023/03/10 20:31:53 - mmengine - INFO - Epoch(val) [5][6060/6282] eta: 0:00:14 time: 0.0634 data_time: 0.0029 memory: 2934 2023/03/10 20:31:54 - mmengine - INFO - Epoch(val) [5][6080/6282] eta: 0:00:13 time: 0.0647 data_time: 0.0036 memory: 2934 2023/03/10 20:31:55 - mmengine - INFO - Epoch(val) [5][6100/6282] eta: 0:00:11 time: 0.0646 data_time: 0.0033 memory: 2934 2023/03/10 20:31:56 - mmengine - INFO - Epoch(val) [5][6120/6282] eta: 0:00:10 time: 0.0636 data_time: 0.0031 memory: 2934 2023/03/10 20:31:58 - mmengine - INFO - Epoch(val) [5][6140/6282] eta: 0:00:09 time: 0.0622 data_time: 0.0026 memory: 2934 2023/03/10 20:31:59 - mmengine - INFO - Epoch(val) [5][6160/6282] eta: 0:00:07 time: 0.0656 data_time: 0.0022 memory: 2934 2023/03/10 20:32:00 - mmengine - INFO - Epoch(val) [5][6180/6282] eta: 0:00:06 time: 0.0640 data_time: 0.0023 memory: 2934 2023/03/10 20:32:02 - mmengine - INFO - Epoch(val) [5][6200/6282] eta: 0:00:05 time: 0.0632 data_time: 0.0024 memory: 2934 2023/03/10 20:32:03 - mmengine - INFO - Epoch(val) [5][6220/6282] eta: 0:00:04 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 20:32:04 - mmengine - INFO - Epoch(val) [5][6240/6282] eta: 0:00:02 time: 0.0614 data_time: 0.0021 memory: 2934 2023/03/10 20:32:05 - mmengine - INFO - Epoch(val) [5][6260/6282] eta: 0:00:01 time: 0.0610 data_time: 0.0019 memory: 2934 2023/03/10 20:32:07 - mmengine - INFO - Epoch(val) [5][6280/6282] eta: 0:00:00 time: 0.0612 data_time: 0.0018 memory: 2934 2023/03/10 20:36:12 - mmengine - INFO - Epoch(val) [5][6282/6282] mAP/mAP@0.5IOU: 0.3176 2023/03/10 20:36:12 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_4.pth is removed 2023/03/10 20:36:15 - mmengine - INFO - The best checkpoint with 0.3176 mAP/mAP@0.5IOU at 5 epoch is saved to best_mAP/mAP@0.5IOU_epoch_5.pth. 2023/03/10 20:36:32 - mmengine - INFO - Epoch(train) [6][ 20/4451] lr: 2.9697e-06 eta: 12:57:30 time: 0.8329 data_time: 0.4175 memory: 51970 grad_norm: 0.1408 loss: 0.0464 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8148 recall@top3: 0.8704 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4778 loss_action_cls: 0.0464 2023/03/10 20:36:43 - mmengine - INFO - Epoch(train) [6][ 40/4451] lr: 2.9697e-06 eta: 12:57:07 time: 0.5567 data_time: 0.1390 memory: 51970 grad_norm: 0.1385 loss: 0.0528 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.9375 recall@top3: 0.8594 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0528 2023/03/10 20:36:57 - mmengine - INFO - Epoch(train) [6][ 60/4451] lr: 2.9697e-06 eta: 12:56:53 time: 0.6987 data_time: 0.2781 memory: 51970 grad_norm: 0.1388 loss: 0.0520 recall@thr=0.5: 0.7204 prec@thr=0.5: 0.7849 recall@top3: 0.8333 prec@top3: 0.6022 recall@top5: 0.8925 prec@top5: 0.3871 loss_action_cls: 0.0520 2023/03/10 20:37:10 - mmengine - INFO - Epoch(train) [6][ 80/4451] lr: 2.9696e-06 eta: 12:56:37 time: 0.6597 data_time: 0.2389 memory: 51970 grad_norm: 0.1356 loss: 0.0490 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7292 recall@top3: 0.7833 prec@top3: 0.7000 recall@top5: 0.9250 prec@top5: 0.5000 loss_action_cls: 0.0490 2023/03/10 20:37:23 - mmengine - INFO - Epoch(train) [6][ 100/4451] lr: 2.9696e-06 eta: 12:56:20 time: 0.6445 data_time: 0.2214 memory: 51970 grad_norm: 0.1506 loss: 0.0472 recall@thr=0.5: 0.6200 prec@thr=0.5: 0.6733 recall@top3: 0.7867 prec@top3: 0.5867 recall@top5: 0.9267 prec@top5: 0.4240 loss_action_cls: 0.0472 2023/03/10 20:37:35 - mmengine - INFO - Epoch(train) [6][ 120/4451] lr: 2.9696e-06 eta: 12:55:59 time: 0.5935 data_time: 0.1698 memory: 51970 grad_norm: 0.1343 loss: 0.0603 recall@thr=0.5: 0.4785 prec@thr=0.5: 0.5484 recall@top3: 0.7177 prec@top3: 0.4839 recall@top5: 0.8925 prec@top5: 0.3677 loss_action_cls: 0.0603 2023/03/10 20:37:48 - mmengine - INFO - Epoch(train) [6][ 140/4451] lr: 2.9696e-06 eta: 12:55:43 time: 0.6572 data_time: 0.2311 memory: 51970 grad_norm: 0.1403 loss: 0.0497 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.5769 recall@top3: 0.8077 prec@top3: 0.3333 recall@top5: 0.9615 prec@top5: 0.2308 loss_action_cls: 0.0497 2023/03/10 20:38:00 - mmengine - INFO - Epoch(train) [6][ 160/4451] lr: 2.9696e-06 eta: 12:55:23 time: 0.6012 data_time: 0.1537 memory: 51970 grad_norm: 0.1380 loss: 0.0464 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.9020 recall@top3: 0.8431 prec@top3: 0.5686 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0464 2023/03/10 20:38:13 - mmengine - INFO - Epoch(train) [6][ 180/4451] lr: 2.9696e-06 eta: 12:55:05 time: 0.6337 data_time: 0.1255 memory: 51970 grad_norm: 0.1378 loss: 0.0488 recall@thr=0.5: 0.6367 prec@thr=0.5: 0.7250 recall@top3: 0.8050 prec@top3: 0.6000 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0488 2023/03/10 20:38:25 - mmengine - INFO - Epoch(train) [6][ 200/4451] lr: 2.9696e-06 eta: 12:54:45 time: 0.5914 data_time: 0.0894 memory: 51970 grad_norm: 0.1461 loss: 0.0454 recall@thr=0.5: 0.6712 prec@thr=0.5: 0.8153 recall@top3: 0.8356 prec@top3: 0.6486 recall@top5: 0.9550 prec@top5: 0.4541 loss_action_cls: 0.0454 2023/03/10 20:38:38 - mmengine - INFO - Epoch(train) [6][ 220/4451] lr: 2.9696e-06 eta: 12:54:30 time: 0.6740 data_time: 0.2193 memory: 51970 grad_norm: 0.1358 loss: 0.0561 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.7386 recall@top3: 0.8068 prec@top3: 0.5606 recall@top5: 0.8864 prec@top5: 0.3818 loss_action_cls: 0.0561 2023/03/10 20:38:50 - mmengine - INFO - Epoch(train) [6][ 240/4451] lr: 2.9696e-06 eta: 12:54:10 time: 0.6059 data_time: 0.1438 memory: 51970 grad_norm: 0.1339 loss: 0.0530 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.9259 recall@top3: 0.8657 prec@top3: 0.7778 recall@top5: 0.9722 prec@top5: 0.5444 loss_action_cls: 0.0530 2023/03/10 20:39:04 - mmengine - INFO - Epoch(train) [6][ 260/4451] lr: 2.9695e-06 eta: 12:53:54 time: 0.6622 data_time: 0.1893 memory: 51970 grad_norm: 0.1455 loss: 0.0475 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.8636 recall@top3: 0.8636 prec@top3: 0.7727 recall@top5: 0.9545 prec@top5: 0.5273 loss_action_cls: 0.0475 2023/03/10 20:39:17 - mmengine - INFO - Epoch(train) [6][ 280/4451] lr: 2.9695e-06 eta: 12:53:39 time: 0.6845 data_time: 0.0236 memory: 51970 grad_norm: 0.1406 loss: 0.0556 recall@thr=0.5: 0.5409 prec@thr=0.5: 0.8144 recall@top3: 0.6886 prec@top3: 0.6061 recall@top5: 0.9068 prec@top5: 0.4909 loss_action_cls: 0.0556 2023/03/10 20:39:30 - mmengine - INFO - Epoch(train) [6][ 300/4451] lr: 2.9695e-06 eta: 12:53:21 time: 0.6185 data_time: 0.0892 memory: 51970 grad_norm: 0.1332 loss: 0.0444 recall@thr=0.5: 0.8917 prec@thr=0.5: 0.8167 recall@top3: 0.9083 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.3900 loss_action_cls: 0.0444 2023/03/10 20:39:43 - mmengine - INFO - Epoch(train) [6][ 320/4451] lr: 2.9695e-06 eta: 12:53:05 time: 0.6710 data_time: 0.1705 memory: 51970 grad_norm: 0.1370 loss: 0.0547 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.7000 recall@top3: 0.7500 prec@top3: 0.6333 recall@top5: 0.8917 prec@top5: 0.4500 loss_action_cls: 0.0547 2023/03/10 20:39:55 - mmengine - INFO - Epoch(train) [6][ 340/4451] lr: 2.9695e-06 eta: 12:52:44 time: 0.5802 data_time: 0.0894 memory: 51970 grad_norm: 0.1431 loss: 0.0460 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8125 recall@top3: 0.8125 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0460 2023/03/10 20:40:10 - mmengine - INFO - Epoch(train) [6][ 360/4451] lr: 2.9694e-06 eta: 12:52:34 time: 0.7582 data_time: 0.0426 memory: 51970 grad_norm: 0.1394 loss: 0.0486 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.8307 recall@top3: 0.8667 prec@top3: 0.8400 recall@top5: 0.9700 prec@top5: 0.5760 loss_action_cls: 0.0486 2023/03/10 20:40:22 - mmengine - INFO - Epoch(train) [6][ 380/4451] lr: 2.9694e-06 eta: 12:52:15 time: 0.6208 data_time: 0.0587 memory: 51970 grad_norm: 0.1345 loss: 0.0545 recall@thr=0.5: 0.5437 prec@thr=0.5: 0.7500 recall@top3: 0.6905 prec@top3: 0.6349 recall@top5: 0.8413 prec@top5: 0.4857 loss_action_cls: 0.0545 2023/03/10 20:40:37 - mmengine - INFO - Epoch(train) [6][ 400/4451] lr: 2.9694e-06 eta: 12:52:03 time: 0.7227 data_time: 0.1266 memory: 51970 grad_norm: 0.1364 loss: 0.0521 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.6000 recall@top3: 0.7615 prec@top3: 0.5111 recall@top5: 0.8715 prec@top5: 0.3467 loss_action_cls: 0.0521 2023/03/10 20:40:49 - mmengine - INFO - Epoch(train) [6][ 420/4451] lr: 2.9694e-06 eta: 12:51:43 time: 0.6068 data_time: 0.0779 memory: 51970 grad_norm: 0.1356 loss: 0.0560 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5000 recall@top3: 0.8222 prec@top3: 0.4444 recall@top5: 0.9333 prec@top5: 0.3333 loss_action_cls: 0.0560 2023/03/10 20:41:04 - mmengine - INFO - Epoch(train) [6][ 440/4451] lr: 2.9693e-06 eta: 12:51:32 time: 0.7377 data_time: 0.0848 memory: 51970 grad_norm: 0.1404 loss: 0.0482 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6404 recall@top3: 0.7632 prec@top3: 0.4211 recall@top5: 0.9298 prec@top5: 0.3158 loss_action_cls: 0.0482 2023/03/10 20:41:16 - mmengine - INFO - Epoch(train) [6][ 460/4451] lr: 2.9693e-06 eta: 12:51:12 time: 0.6009 data_time: 0.0167 memory: 51970 grad_norm: 0.1417 loss: 0.0540 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.7653 recall@top3: 0.8160 prec@top3: 0.7222 recall@top5: 0.9792 prec@top5: 0.5417 loss_action_cls: 0.0540 2023/03/10 20:41:28 - mmengine - INFO - Epoch(train) [6][ 480/4451] lr: 2.9693e-06 eta: 12:50:53 time: 0.6156 data_time: 0.0143 memory: 51970 grad_norm: 0.1431 loss: 0.0463 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.6754 recall@top3: 0.7544 prec@top3: 0.5614 recall@top5: 0.8596 prec@top5: 0.3895 loss_action_cls: 0.0463 2023/03/10 20:41:41 - mmengine - INFO - Epoch(train) [6][ 500/4451] lr: 2.9692e-06 eta: 12:50:36 time: 0.6364 data_time: 0.0709 memory: 51970 grad_norm: 0.1349 loss: 0.0555 recall@thr=0.5: 0.5049 prec@thr=0.5: 0.7059 recall@top3: 0.6667 prec@top3: 0.5882 recall@top5: 0.8922 prec@top5: 0.4824 loss_action_cls: 0.0555 2023/03/10 20:41:53 - mmengine - INFO - Epoch(train) [6][ 520/4451] lr: 2.9692e-06 eta: 12:50:17 time: 0.6186 data_time: 0.1108 memory: 51970 grad_norm: 0.1421 loss: 0.0489 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9083 recall@top3: 0.9583 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4700 loss_action_cls: 0.0489 2023/03/10 20:42:06 - mmengine - INFO - Epoch(train) [6][ 540/4451] lr: 2.9692e-06 eta: 12:50:01 time: 0.6554 data_time: 0.2045 memory: 51970 grad_norm: 0.1320 loss: 0.0491 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7421 recall@top3: 0.7540 prec@top3: 0.6349 recall@top5: 0.8452 prec@top5: 0.4476 loss_action_cls: 0.0491 2023/03/10 20:42:20 - mmengine - INFO - Epoch(train) [6][ 560/4451] lr: 2.9691e-06 eta: 12:49:46 time: 0.6901 data_time: 0.1255 memory: 51970 grad_norm: 0.1359 loss: 0.0511 recall@thr=0.5: 0.8578 prec@thr=0.5: 0.8039 recall@top3: 0.8431 prec@top3: 0.6275 recall@top5: 0.9412 prec@top5: 0.4353 loss_action_cls: 0.0511 2023/03/10 20:42:33 - mmengine - INFO - Epoch(train) [6][ 580/4451] lr: 2.9691e-06 eta: 12:49:29 time: 0.6287 data_time: 0.0242 memory: 51970 grad_norm: 0.1379 loss: 0.0515 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6106 recall@top3: 0.8371 prec@top3: 0.5303 recall@top5: 0.9318 prec@top5: 0.3909 loss_action_cls: 0.0515 2023/03/10 20:42:46 - mmengine - INFO - Epoch(train) [6][ 600/4451] lr: 2.9691e-06 eta: 12:49:12 time: 0.6528 data_time: 0.0231 memory: 51970 grad_norm: 0.1404 loss: 0.0493 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8889 recall@top3: 0.8889 prec@top3: 0.6349 recall@top5: 0.8889 prec@top5: 0.3810 loss_action_cls: 0.0493 2023/03/10 20:42:57 - mmengine - INFO - Epoch(train) [6][ 620/4451] lr: 2.9690e-06 eta: 12:48:52 time: 0.5925 data_time: 0.0585 memory: 51970 grad_norm: 0.1344 loss: 0.0536 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.7549 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.9216 prec@top5: 0.4235 loss_action_cls: 0.0536 2023/03/10 20:43:11 - mmengine - INFO - Epoch(train) [6][ 640/4451] lr: 2.9690e-06 eta: 12:48:36 time: 0.6686 data_time: 0.0727 memory: 51970 grad_norm: 0.1396 loss: 0.0570 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7778 recall@top3: 0.7812 prec@top3: 0.6806 recall@top5: 0.9271 prec@top5: 0.4917 loss_action_cls: 0.0570 2023/03/10 20:43:23 - mmengine - INFO - Epoch(train) [6][ 660/4451] lr: 2.9689e-06 eta: 12:48:18 time: 0.6229 data_time: 0.0141 memory: 51970 grad_norm: 0.1410 loss: 0.0490 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6754 recall@top3: 0.7982 prec@top3: 0.6140 recall@top5: 0.9035 prec@top5: 0.4211 loss_action_cls: 0.0490 2023/03/10 20:43:36 - mmengine - INFO - Epoch(train) [6][ 680/4451] lr: 2.9689e-06 eta: 12:48:00 time: 0.6213 data_time: 0.0119 memory: 51970 grad_norm: 0.1393 loss: 0.0539 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8016 recall@top3: 0.7500 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.5333 loss_action_cls: 0.0539 2023/03/10 20:43:48 - mmengine - INFO - Epoch(train) [6][ 700/4451] lr: 2.9689e-06 eta: 12:47:41 time: 0.6054 data_time: 0.0514 memory: 51970 grad_norm: 0.1447 loss: 0.0518 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.8551 recall@top3: 0.7971 prec@top3: 0.6812 recall@top5: 0.9275 prec@top5: 0.4870 loss_action_cls: 0.0518 2023/03/10 20:44:01 - mmengine - INFO - Epoch(train) [6][ 720/4451] lr: 2.9688e-06 eta: 12:47:24 time: 0.6595 data_time: 0.0735 memory: 51970 grad_norm: 0.1385 loss: 0.0444 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7745 recall@top3: 0.8235 prec@top3: 0.6078 recall@top5: 0.9608 prec@top5: 0.4118 loss_action_cls: 0.0444 2023/03/10 20:44:13 - mmengine - INFO - Epoch(train) [6][ 740/4451] lr: 2.9688e-06 eta: 12:47:06 time: 0.6182 data_time: 0.0784 memory: 51970 grad_norm: 0.1375 loss: 0.0511 recall@thr=0.5: 0.5957 prec@thr=0.5: 0.5860 recall@top3: 0.5957 prec@top3: 0.5376 recall@top5: 0.8301 prec@top5: 0.4387 loss_action_cls: 0.0511 2023/03/10 20:44:18 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 20:44:26 - mmengine - INFO - Epoch(train) [6][ 760/4451] lr: 2.9687e-06 eta: 12:46:48 time: 0.6251 data_time: 0.1526 memory: 51970 grad_norm: 0.1463 loss: 0.0507 recall@thr=0.5: 0.5475 prec@thr=0.5: 0.5960 recall@top3: 0.6404 prec@top3: 0.5758 recall@top5: 0.7808 prec@top5: 0.4545 loss_action_cls: 0.0507 2023/03/10 20:44:39 - mmengine - INFO - Epoch(train) [6][ 780/4451] lr: 2.9687e-06 eta: 12:46:31 time: 0.6527 data_time: 0.2263 memory: 51970 grad_norm: 0.1350 loss: 0.0471 recall@thr=0.5: 0.6196 prec@thr=0.5: 0.6761 recall@top3: 0.6957 prec@top3: 0.7391 recall@top5: 0.9457 prec@top5: 0.5913 loss_action_cls: 0.0471 2023/03/10 20:44:52 - mmengine - INFO - Epoch(train) [6][ 800/4451] lr: 2.9686e-06 eta: 12:46:15 time: 0.6480 data_time: 0.0574 memory: 51970 grad_norm: 0.1419 loss: 0.0577 recall@thr=0.5: 0.4744 prec@thr=0.5: 0.4487 recall@top3: 0.8590 prec@top3: 0.5641 recall@top5: 0.9359 prec@top5: 0.3846 loss_action_cls: 0.0577 2023/03/10 20:45:05 - mmengine - INFO - Epoch(train) [6][ 820/4451] lr: 2.9686e-06 eta: 12:45:57 time: 0.6388 data_time: 0.0215 memory: 51970 grad_norm: 0.1386 loss: 0.0460 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.8175 recall@top3: 0.9603 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0460 2023/03/10 20:45:17 - mmengine - INFO - Epoch(train) [6][ 840/4451] lr: 2.9685e-06 eta: 12:45:38 time: 0.6007 data_time: 0.0121 memory: 51970 grad_norm: 0.1458 loss: 0.0534 recall@thr=0.5: 0.5030 prec@thr=0.5: 0.5714 recall@top3: 0.7768 prec@top3: 0.5476 recall@top5: 0.9226 prec@top5: 0.4071 loss_action_cls: 0.0534 2023/03/10 20:45:29 - mmengine - INFO - Epoch(train) [6][ 860/4451] lr: 2.9684e-06 eta: 12:45:19 time: 0.6147 data_time: 0.0134 memory: 51970 grad_norm: 0.1446 loss: 0.0537 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7157 recall@top3: 0.9118 prec@top3: 0.5294 recall@top5: 1.0000 prec@top5: 0.3647 loss_action_cls: 0.0537 2023/03/10 20:45:44 - mmengine - INFO - Epoch(train) [6][ 880/4451] lr: 2.9684e-06 eta: 12:45:09 time: 0.7640 data_time: 0.0118 memory: 51970 grad_norm: 0.1328 loss: 0.0549 recall@thr=0.5: 0.7148 prec@thr=0.5: 0.7562 recall@top3: 0.7920 prec@top3: 0.7160 recall@top5: 0.9198 prec@top5: 0.5037 loss_action_cls: 0.0549 2023/03/10 20:45:55 - mmengine - INFO - Epoch(train) [6][ 900/4451] lr: 2.9683e-06 eta: 12:44:47 time: 0.5504 data_time: 0.0133 memory: 51970 grad_norm: 0.1363 loss: 0.0460 recall@thr=0.5: 0.4630 prec@thr=0.5: 0.5926 recall@top3: 0.7593 prec@top3: 0.6667 recall@top5: 0.8148 prec@top5: 0.4333 loss_action_cls: 0.0460 2023/03/10 20:46:09 - mmengine - INFO - Epoch(train) [6][ 920/4451] lr: 2.9683e-06 eta: 12:44:32 time: 0.6857 data_time: 0.0130 memory: 51970 grad_norm: 0.1337 loss: 0.0511 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.8782 recall@top3: 0.8397 prec@top3: 0.7308 recall@top5: 0.9679 prec@top5: 0.5154 loss_action_cls: 0.0511 2023/03/10 20:46:21 - mmengine - INFO - Epoch(train) [6][ 940/4451] lr: 2.9682e-06 eta: 12:44:13 time: 0.6080 data_time: 0.0144 memory: 51970 grad_norm: 0.1409 loss: 0.0520 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7402 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9559 prec@top5: 0.4235 loss_action_cls: 0.0520 2023/03/10 20:46:35 - mmengine - INFO - Epoch(train) [6][ 960/4451] lr: 2.9681e-06 eta: 12:43:59 time: 0.6885 data_time: 0.0127 memory: 51970 grad_norm: 0.1339 loss: 0.0450 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8556 recall@top3: 0.8889 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0450 2023/03/10 20:46:47 - mmengine - INFO - Epoch(train) [6][ 980/4451] lr: 2.9681e-06 eta: 12:43:40 time: 0.5986 data_time: 0.0131 memory: 51970 grad_norm: 0.1298 loss: 0.0470 recall@thr=0.5: 0.5870 prec@thr=0.5: 0.6884 recall@top3: 0.7101 prec@top3: 0.6087 recall@top5: 0.9130 prec@top5: 0.4696 loss_action_cls: 0.0470 2023/03/10 20:46:59 - mmengine - INFO - Epoch(train) [6][1000/4451] lr: 2.9680e-06 eta: 12:43:20 time: 0.6005 data_time: 0.0123 memory: 51970 grad_norm: 0.1341 loss: 0.0572 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7941 recall@top3: 0.7402 prec@top3: 0.5490 recall@top5: 0.8480 prec@top5: 0.3882 loss_action_cls: 0.0572 2023/03/10 20:47:11 - mmengine - INFO - Epoch(train) [6][1020/4451] lr: 2.9680e-06 eta: 12:43:00 time: 0.5930 data_time: 0.0143 memory: 51970 grad_norm: 0.1374 loss: 0.0521 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6708 recall@top3: 0.7750 prec@top3: 0.6167 recall@top5: 0.8458 prec@top5: 0.4200 loss_action_cls: 0.0521 2023/03/10 20:47:24 - mmengine - INFO - Epoch(train) [6][1040/4451] lr: 2.9679e-06 eta: 12:42:43 time: 0.6389 data_time: 0.0120 memory: 51970 grad_norm: 0.1406 loss: 0.0487 recall@thr=0.5: 0.4341 prec@thr=0.5: 0.6061 recall@top3: 0.6917 prec@top3: 0.5000 recall@top5: 0.8341 prec@top5: 0.3909 loss_action_cls: 0.0487 2023/03/10 20:47:36 - mmengine - INFO - Epoch(train) [6][1060/4451] lr: 2.9678e-06 eta: 12:42:25 time: 0.6144 data_time: 0.0130 memory: 51970 grad_norm: 0.1369 loss: 0.0450 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8519 recall@top3: 0.8148 prec@top3: 0.5741 recall@top5: 0.9259 prec@top5: 0.3778 loss_action_cls: 0.0450 2023/03/10 20:47:48 - mmengine - INFO - Epoch(train) [6][1080/4451] lr: 2.9677e-06 eta: 12:42:06 time: 0.6073 data_time: 0.0123 memory: 51970 grad_norm: 0.1306 loss: 0.0472 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8030 recall@top3: 0.8636 prec@top3: 0.7121 recall@top5: 0.9432 prec@top5: 0.4636 loss_action_cls: 0.0472 2023/03/10 20:48:02 - mmengine - INFO - Epoch(train) [6][1100/4451] lr: 2.9677e-06 eta: 12:41:51 time: 0.6844 data_time: 0.0146 memory: 51970 grad_norm: 0.1369 loss: 0.0532 recall@thr=0.5: 0.6707 prec@thr=0.5: 0.8820 recall@top3: 0.7460 prec@top3: 0.6267 recall@top5: 0.9173 prec@top5: 0.4800 loss_action_cls: 0.0532 2023/03/10 20:48:15 - mmengine - INFO - Epoch(train) [6][1120/4451] lr: 2.9676e-06 eta: 12:41:37 time: 0.6887 data_time: 0.0126 memory: 51970 grad_norm: 0.1335 loss: 0.0463 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7857 recall@top3: 0.8016 prec@top3: 0.7460 recall@top5: 0.9048 prec@top5: 0.4952 loss_action_cls: 0.0463 2023/03/10 20:48:28 - mmengine - INFO - Epoch(train) [6][1140/4451] lr: 2.9675e-06 eta: 12:41:19 time: 0.6301 data_time: 0.0130 memory: 51970 grad_norm: 0.1368 loss: 0.0490 recall@thr=0.5: 0.7413 prec@thr=0.5: 0.7667 recall@top3: 0.8857 prec@top3: 0.7778 recall@top5: 0.9365 prec@top5: 0.5048 loss_action_cls: 0.0490 2023/03/10 20:48:40 - mmengine - INFO - Epoch(train) [6][1160/4451] lr: 2.9675e-06 eta: 12:40:59 time: 0.5875 data_time: 0.0150 memory: 51970 grad_norm: 0.1400 loss: 0.0484 recall@thr=0.5: 0.7659 prec@thr=0.5: 0.9206 recall@top3: 0.8254 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.4952 loss_action_cls: 0.0484 2023/03/10 20:48:54 - mmengine - INFO - Epoch(train) [6][1180/4451] lr: 2.9674e-06 eta: 12:40:45 time: 0.6843 data_time: 0.0132 memory: 51970 grad_norm: 0.1401 loss: 0.0506 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.7955 recall@top3: 0.8288 prec@top3: 0.7576 recall@top5: 0.9530 prec@top5: 0.5455 loss_action_cls: 0.0506 2023/03/10 20:49:06 - mmengine - INFO - Epoch(train) [6][1200/4451] lr: 2.9673e-06 eta: 12:40:27 time: 0.6320 data_time: 0.0126 memory: 51970 grad_norm: 0.1368 loss: 0.0448 recall@thr=0.5: 0.8269 prec@thr=0.5: 0.8269 recall@top3: 0.9231 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.4769 loss_action_cls: 0.0448 2023/03/10 20:49:19 - mmengine - INFO - Epoch(train) [6][1220/4451] lr: 2.9672e-06 eta: 12:40:11 time: 0.6476 data_time: 0.0135 memory: 51970 grad_norm: 0.1479 loss: 0.0455 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.7464 recall@top3: 0.8188 prec@top3: 0.5797 recall@top5: 0.9275 prec@top5: 0.4087 loss_action_cls: 0.0455 2023/03/10 20:49:31 - mmengine - INFO - Epoch(train) [6][1240/4451] lr: 2.9671e-06 eta: 12:39:51 time: 0.5968 data_time: 0.0119 memory: 51970 grad_norm: 0.1278 loss: 0.0471 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6222 recall@top3: 0.8167 prec@top3: 0.5556 recall@top5: 0.9833 prec@top5: 0.4133 loss_action_cls: 0.0471 2023/03/10 20:49:45 - mmengine - INFO - Epoch(train) [6][1260/4451] lr: 2.9671e-06 eta: 12:39:38 time: 0.7018 data_time: 0.0139 memory: 51970 grad_norm: 0.1303 loss: 0.0486 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7500 recall@top3: 0.7917 prec@top3: 0.5000 recall@top5: 0.9688 prec@top5: 0.3500 loss_action_cls: 0.0486 2023/03/10 20:49:58 - mmengine - INFO - Epoch(train) [6][1280/4451] lr: 2.9670e-06 eta: 12:39:21 time: 0.6451 data_time: 0.0127 memory: 51970 grad_norm: 0.1366 loss: 0.0450 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.6667 recall@top3: 0.8889 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3667 loss_action_cls: 0.0450 2023/03/10 20:50:12 - mmengine - INFO - Epoch(train) [6][1300/4451] lr: 2.9669e-06 eta: 12:39:06 time: 0.6805 data_time: 0.0297 memory: 51970 grad_norm: 0.1338 loss: 0.0476 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6667 recall@top3: 0.7167 prec@top3: 0.5500 recall@top5: 0.8583 prec@top5: 0.3900 loss_action_cls: 0.0476 2023/03/10 20:50:24 - mmengine - INFO - Epoch(train) [6][1320/4451] lr: 2.9668e-06 eta: 12:38:49 time: 0.6320 data_time: 0.0136 memory: 51970 grad_norm: 0.1388 loss: 0.0492 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.6491 recall@top3: 0.8421 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4632 loss_action_cls: 0.0492 2023/03/10 20:50:37 - mmengine - INFO - Epoch(train) [6][1340/4451] lr: 2.9667e-06 eta: 12:38:32 time: 0.6497 data_time: 0.0132 memory: 51970 grad_norm: 0.1345 loss: 0.0525 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6275 recall@top3: 0.6225 prec@top3: 0.4902 recall@top5: 0.8333 prec@top5: 0.4118 loss_action_cls: 0.0525 2023/03/10 20:50:50 - mmengine - INFO - Epoch(train) [6][1360/4451] lr: 2.9666e-06 eta: 12:38:15 time: 0.6298 data_time: 0.0118 memory: 51970 grad_norm: 0.1404 loss: 0.0458 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8241 recall@top3: 0.8750 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0458 2023/03/10 20:51:04 - mmengine - INFO - Epoch(train) [6][1380/4451] lr: 2.9665e-06 eta: 12:38:01 time: 0.7059 data_time: 0.0128 memory: 51970 grad_norm: 0.1359 loss: 0.0489 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7143 recall@top3: 0.8214 prec@top3: 0.6508 recall@top5: 0.9286 prec@top5: 0.4381 loss_action_cls: 0.0489 2023/03/10 20:51:15 - mmengine - INFO - Epoch(train) [6][1400/4451] lr: 2.9664e-06 eta: 12:37:39 time: 0.5430 data_time: 0.0124 memory: 51970 grad_norm: 0.1331 loss: 0.0501 recall@thr=0.5: 0.6839 prec@thr=0.5: 0.7414 recall@top3: 0.7989 prec@top3: 0.4598 recall@top5: 0.9253 prec@top5: 0.3448 loss_action_cls: 0.0501 2023/03/10 20:51:29 - mmengine - INFO - Epoch(train) [6][1420/4451] lr: 2.9663e-06 eta: 12:37:26 time: 0.7127 data_time: 0.0125 memory: 51970 grad_norm: 0.1354 loss: 0.0550 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.7902 recall@top3: 0.7961 prec@top3: 0.7451 recall@top5: 0.9412 prec@top5: 0.5412 loss_action_cls: 0.0550 2023/03/10 20:51:42 - mmengine - INFO - Epoch(train) [6][1440/4451] lr: 2.9663e-06 eta: 12:37:09 time: 0.6464 data_time: 0.0126 memory: 51970 grad_norm: 0.1355 loss: 0.0421 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.7222 recall@top3: 0.8333 prec@top3: 0.5778 recall@top5: 0.9111 prec@top5: 0.3867 loss_action_cls: 0.0421 2023/03/10 20:51:56 - mmengine - INFO - Epoch(train) [6][1460/4451] lr: 2.9662e-06 eta: 12:36:55 time: 0.6884 data_time: 0.0119 memory: 51970 grad_norm: 0.1325 loss: 0.0460 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.9231 recall@top3: 0.9808 prec@top3: 0.7436 recall@top5: 0.9808 prec@top5: 0.4462 loss_action_cls: 0.0460 2023/03/10 20:52:07 - mmengine - INFO - Epoch(train) [6][1480/4451] lr: 2.9661e-06 eta: 12:36:35 time: 0.5759 data_time: 0.0125 memory: 51970 grad_norm: 0.1311 loss: 0.0520 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7130 recall@top3: 0.9722 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0520 2023/03/10 20:52:21 - mmengine - INFO - Epoch(train) [6][1500/4451] lr: 2.9660e-06 eta: 12:36:20 time: 0.6825 data_time: 0.0124 memory: 51970 grad_norm: 0.1315 loss: 0.0512 recall@thr=0.5: 0.4568 prec@thr=0.5: 0.5679 recall@top3: 0.7654 prec@top3: 0.5185 recall@top5: 0.9506 prec@top5: 0.3778 loss_action_cls: 0.0512 2023/03/10 20:52:33 - mmengine - INFO - Epoch(train) [6][1520/4451] lr: 2.9659e-06 eta: 12:36:01 time: 0.6027 data_time: 0.0122 memory: 51970 grad_norm: 0.1351 loss: 0.0517 recall@thr=0.5: 0.6925 prec@thr=0.5: 0.7443 recall@top3: 0.8333 prec@top3: 0.6897 recall@top5: 0.9598 prec@top5: 0.4897 loss_action_cls: 0.0517 2023/03/10 20:52:47 - mmengine - INFO - Epoch(train) [6][1540/4451] lr: 2.9658e-06 eta: 12:35:47 time: 0.7000 data_time: 0.0128 memory: 51970 grad_norm: 0.1323 loss: 0.0539 recall@thr=0.5: 0.4359 prec@thr=0.5: 0.4615 recall@top3: 0.6923 prec@top3: 0.4744 recall@top5: 0.7821 prec@top5: 0.3154 loss_action_cls: 0.0539 2023/03/10 20:53:00 - mmengine - INFO - Epoch(train) [6][1560/4451] lr: 2.9657e-06 eta: 12:35:30 time: 0.6266 data_time: 0.0121 memory: 51970 grad_norm: 0.1358 loss: 0.0635 recall@thr=0.5: 0.5379 prec@thr=0.5: 0.6136 recall@top3: 0.8030 prec@top3: 0.5758 recall@top5: 0.8636 prec@top5: 0.3818 loss_action_cls: 0.0635 2023/03/10 20:53:13 - mmengine - INFO - Epoch(train) [6][1580/4451] lr: 2.9656e-06 eta: 12:35:14 time: 0.6597 data_time: 0.0121 memory: 51970 grad_norm: 0.1352 loss: 0.0562 recall@thr=0.5: 0.6975 prec@thr=0.5: 0.7160 recall@top3: 0.8086 prec@top3: 0.6543 recall@top5: 0.8951 prec@top5: 0.4370 loss_action_cls: 0.0562 2023/03/10 20:53:24 - mmengine - INFO - Epoch(train) [6][1600/4451] lr: 2.9655e-06 eta: 12:34:53 time: 0.5788 data_time: 0.0132 memory: 51970 grad_norm: 0.1381 loss: 0.0461 recall@thr=0.5: 0.6056 prec@thr=0.5: 0.7569 recall@top3: 0.7035 prec@top3: 0.5972 recall@top5: 0.9368 prec@top5: 0.4833 loss_action_cls: 0.0461 2023/03/10 20:53:38 - mmengine - INFO - Epoch(train) [6][1620/4451] lr: 2.9654e-06 eta: 12:34:39 time: 0.6799 data_time: 0.0126 memory: 51970 grad_norm: 0.1449 loss: 0.0517 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8860 recall@top3: 0.8509 prec@top3: 0.6316 recall@top5: 0.8904 prec@top5: 0.4105 loss_action_cls: 0.0517 2023/03/10 20:53:52 - mmengine - INFO - Epoch(train) [6][1640/4451] lr: 2.9652e-06 eta: 12:34:27 time: 0.7278 data_time: 0.0147 memory: 51970 grad_norm: 0.1419 loss: 0.0571 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7222 recall@top3: 0.8009 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0571 2023/03/10 20:54:05 - mmengine - INFO - Epoch(train) [6][1660/4451] lr: 2.9651e-06 eta: 12:34:09 time: 0.6213 data_time: 0.0124 memory: 51970 grad_norm: 0.1394 loss: 0.0464 recall@thr=0.5: 0.5273 prec@thr=0.5: 0.7197 recall@top3: 0.7818 prec@top3: 0.6970 recall@top5: 0.9061 prec@top5: 0.5000 loss_action_cls: 0.0464 2023/03/10 20:54:18 - mmengine - INFO - Epoch(train) [6][1680/4451] lr: 2.9650e-06 eta: 12:33:52 time: 0.6371 data_time: 0.0122 memory: 51970 grad_norm: 0.1346 loss: 0.0472 recall@thr=0.5: 0.6910 prec@thr=0.5: 0.7500 recall@top3: 0.7743 prec@top3: 0.6111 recall@top5: 0.9097 prec@top5: 0.4417 loss_action_cls: 0.0472 2023/03/10 20:54:29 - mmengine - INFO - Epoch(train) [6][1700/4451] lr: 2.9649e-06 eta: 12:33:32 time: 0.5847 data_time: 0.0129 memory: 51970 grad_norm: 0.1385 loss: 0.0430 recall@thr=0.5: 0.7190 prec@thr=0.5: 0.7329 recall@top3: 0.9012 prec@top3: 0.6899 recall@top5: 0.9690 prec@top5: 0.4605 loss_action_cls: 0.0430 2023/03/10 20:54:43 - mmengine - INFO - Epoch(train) [6][1720/4451] lr: 2.9648e-06 eta: 12:33:17 time: 0.6710 data_time: 0.0141 memory: 51970 grad_norm: 0.1404 loss: 0.0491 recall@thr=0.5: 0.7654 prec@thr=0.5: 0.6784 recall@top3: 0.7623 prec@top3: 0.6173 recall@top5: 0.9383 prec@top5: 0.4667 loss_action_cls: 0.0491 2023/03/10 20:54:54 - mmengine - INFO - Epoch(train) [6][1740/4451] lr: 2.9647e-06 eta: 12:32:56 time: 0.5767 data_time: 0.0127 memory: 51970 grad_norm: 0.1367 loss: 0.0495 recall@thr=0.5: 0.7005 prec@thr=0.5: 0.7342 recall@top3: 0.8018 prec@top3: 0.6306 recall@top5: 0.9369 prec@top5: 0.4486 loss_action_cls: 0.0495 2023/03/10 20:54:58 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 20:55:08 - mmengine - INFO - Epoch(train) [6][1760/4451] lr: 2.9646e-06 eta: 12:32:41 time: 0.6767 data_time: 0.0136 memory: 51970 grad_norm: 0.1369 loss: 0.0601 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.8258 recall@top3: 0.8182 prec@top3: 0.5758 recall@top5: 0.9318 prec@top5: 0.4273 loss_action_cls: 0.0601 2023/03/10 20:55:19 - mmengine - INFO - Epoch(train) [6][1780/4451] lr: 2.9645e-06 eta: 12:32:20 time: 0.5478 data_time: 0.0123 memory: 51970 grad_norm: 0.1430 loss: 0.0483 recall@thr=0.5: 0.7325 prec@thr=0.5: 0.9298 recall@top3: 0.9342 prec@top3: 0.6842 recall@top5: 0.9868 prec@top5: 0.4421 loss_action_cls: 0.0483 2023/03/10 20:55:32 - mmengine - INFO - Epoch(train) [6][1800/4451] lr: 2.9643e-06 eta: 12:32:05 time: 0.6824 data_time: 0.0129 memory: 51970 grad_norm: 0.1396 loss: 0.0463 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8021 recall@top3: 0.8750 prec@top3: 0.5625 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0463 2023/03/10 20:55:44 - mmengine - INFO - Epoch(train) [6][1820/4451] lr: 2.9642e-06 eta: 12:31:46 time: 0.5982 data_time: 0.0124 memory: 51970 grad_norm: 0.1358 loss: 0.0469 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.6786 recall@top3: 0.8601 prec@top3: 0.7381 recall@top5: 0.9583 prec@top5: 0.5143 loss_action_cls: 0.0469 2023/03/10 20:55:58 - mmengine - INFO - Epoch(train) [6][1840/4451] lr: 2.9641e-06 eta: 12:31:30 time: 0.6592 data_time: 0.0195 memory: 51970 grad_norm: 0.1368 loss: 0.0514 recall@thr=0.5: 0.5222 prec@thr=0.5: 0.6667 recall@top3: 0.8722 prec@top3: 0.7333 recall@top5: 0.9472 prec@top5: 0.4933 loss_action_cls: 0.0514 2023/03/10 20:56:10 - mmengine - INFO - Epoch(train) [6][1860/4451] lr: 2.9640e-06 eta: 12:31:12 time: 0.6175 data_time: 0.0122 memory: 51970 grad_norm: 0.1303 loss: 0.0485 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7273 recall@top3: 0.7008 prec@top3: 0.6364 recall@top5: 0.8106 prec@top5: 0.4455 loss_action_cls: 0.0485 2023/03/10 20:56:24 - mmengine - INFO - Epoch(train) [6][1880/4451] lr: 2.9639e-06 eta: 12:30:58 time: 0.6989 data_time: 0.0128 memory: 51970 grad_norm: 0.1384 loss: 0.0532 recall@thr=0.5: 0.5799 prec@thr=0.5: 0.6389 recall@top3: 0.8403 prec@top3: 0.5139 recall@top5: 0.9167 prec@top5: 0.3500 loss_action_cls: 0.0532 2023/03/10 20:56:36 - mmengine - INFO - Epoch(train) [6][1900/4451] lr: 2.9637e-06 eta: 12:30:40 time: 0.6037 data_time: 0.0154 memory: 51970 grad_norm: 0.1351 loss: 0.0506 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.7157 recall@top3: 0.8922 prec@top3: 0.5686 recall@top5: 0.9804 prec@top5: 0.3765 loss_action_cls: 0.0506 2023/03/10 20:56:49 - mmengine - INFO - Epoch(train) [6][1920/4451] lr: 2.9636e-06 eta: 12:30:23 time: 0.6366 data_time: 0.0129 memory: 51970 grad_norm: 0.1327 loss: 0.0526 recall@thr=0.5: 0.6009 prec@thr=0.5: 0.7193 recall@top3: 0.6579 prec@top3: 0.4035 recall@top5: 0.8421 prec@top5: 0.3474 loss_action_cls: 0.0526 2023/03/10 20:57:01 - mmengine - INFO - Epoch(train) [6][1940/4451] lr: 2.9635e-06 eta: 12:30:05 time: 0.6280 data_time: 0.0127 memory: 51970 grad_norm: 0.1358 loss: 0.0453 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8750 recall@top3: 0.8423 prec@top3: 0.7262 recall@top5: 0.9494 prec@top5: 0.5071 loss_action_cls: 0.0453 2023/03/10 20:57:16 - mmengine - INFO - Epoch(train) [6][1960/4451] lr: 2.9634e-06 eta: 12:29:53 time: 0.7175 data_time: 0.0124 memory: 51970 grad_norm: 0.1377 loss: 0.0499 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5125 recall@top3: 0.5917 prec@top3: 0.4500 recall@top5: 0.7333 prec@top5: 0.3100 loss_action_cls: 0.0499 2023/03/10 20:57:28 - mmengine - INFO - Epoch(train) [6][1980/4451] lr: 2.9632e-06 eta: 12:29:35 time: 0.6179 data_time: 0.0122 memory: 51970 grad_norm: 0.1337 loss: 0.0507 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6917 recall@top3: 0.7417 prec@top3: 0.7000 recall@top5: 0.8333 prec@top5: 0.4700 loss_action_cls: 0.0507 2023/03/10 20:57:42 - mmengine - INFO - Epoch(train) [6][2000/4451] lr: 2.9631e-06 eta: 12:29:20 time: 0.6807 data_time: 0.0132 memory: 51970 grad_norm: 0.1427 loss: 0.0456 recall@thr=0.5: 0.6744 prec@thr=0.5: 0.9107 recall@top3: 0.7839 prec@top3: 0.6905 recall@top5: 0.8756 prec@top5: 0.4714 loss_action_cls: 0.0456 2023/03/10 20:57:53 - mmengine - INFO - Epoch(train) [6][2020/4451] lr: 2.9630e-06 eta: 12:28:58 time: 0.5474 data_time: 0.0137 memory: 51970 grad_norm: 0.1374 loss: 0.0474 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.7424 recall@top3: 0.9242 prec@top3: 0.5909 recall@top5: 1.0000 prec@top5: 0.3909 loss_action_cls: 0.0474 2023/03/10 20:58:06 - mmengine - INFO - Epoch(train) [6][2040/4451] lr: 2.9628e-06 eta: 12:28:44 time: 0.6890 data_time: 0.0124 memory: 51970 grad_norm: 0.1339 loss: 0.0463 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.8438 prec@top3: 0.7500 recall@top5: 0.9306 prec@top5: 0.5083 loss_action_cls: 0.0463 2023/03/10 20:58:18 - mmengine - INFO - Epoch(train) [6][2060/4451] lr: 2.9627e-06 eta: 12:28:25 time: 0.5908 data_time: 0.0130 memory: 51970 grad_norm: 0.1393 loss: 0.0606 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.6111 recall@top3: 0.6574 prec@top3: 0.4815 recall@top5: 0.9259 prec@top5: 0.3667 loss_action_cls: 0.0606 2023/03/10 20:58:31 - mmengine - INFO - Epoch(train) [6][2080/4451] lr: 2.9626e-06 eta: 12:28:09 time: 0.6631 data_time: 0.0116 memory: 51970 grad_norm: 0.1329 loss: 0.0491 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8542 recall@top3: 0.8958 prec@top3: 0.6042 recall@top5: 0.9583 prec@top5: 0.3875 loss_action_cls: 0.0491 2023/03/10 20:58:42 - mmengine - INFO - Epoch(train) [6][2100/4451] lr: 2.9624e-06 eta: 12:27:48 time: 0.5506 data_time: 0.0121 memory: 51970 grad_norm: 0.1414 loss: 0.0440 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7937 recall@top3: 0.8532 prec@top3: 0.6508 recall@top5: 0.9603 prec@top5: 0.4571 loss_action_cls: 0.0440 2023/03/10 20:58:56 - mmengine - INFO - Epoch(train) [6][2120/4451] lr: 2.9623e-06 eta: 12:27:33 time: 0.6703 data_time: 0.0118 memory: 51970 grad_norm: 0.1352 loss: 0.0539 recall@thr=0.5: 0.4325 prec@thr=0.5: 0.6190 recall@top3: 0.7857 prec@top3: 0.5556 recall@top5: 0.8929 prec@top5: 0.3810 loss_action_cls: 0.0539 2023/03/10 20:59:08 - mmengine - INFO - Epoch(train) [6][2140/4451] lr: 2.9621e-06 eta: 12:27:14 time: 0.6115 data_time: 0.0177 memory: 51970 grad_norm: 0.1348 loss: 0.0453 recall@thr=0.5: 0.5233 prec@thr=0.5: 0.6000 recall@top3: 0.7800 prec@top3: 0.6222 recall@top5: 0.9500 prec@top5: 0.4933 loss_action_cls: 0.0453 2023/03/10 20:59:21 - mmengine - INFO - Epoch(train) [6][2160/4451] lr: 2.9620e-06 eta: 12:26:59 time: 0.6653 data_time: 0.0118 memory: 51970 grad_norm: 0.1343 loss: 0.0483 recall@thr=0.5: 0.6127 prec@thr=0.5: 0.5809 recall@top3: 0.7525 prec@top3: 0.3824 recall@top5: 0.8456 prec@top5: 0.2765 loss_action_cls: 0.0483 2023/03/10 20:59:33 - mmengine - INFO - Epoch(train) [6][2180/4451] lr: 2.9619e-06 eta: 12:26:40 time: 0.6020 data_time: 0.0131 memory: 51970 grad_norm: 0.1385 loss: 0.0467 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.6884 recall@top3: 0.8804 prec@top3: 0.6957 recall@top5: 0.9855 prec@top5: 0.4696 loss_action_cls: 0.0467 2023/03/10 20:59:48 - mmengine - INFO - Epoch(train) [6][2200/4451] lr: 2.9617e-06 eta: 12:26:28 time: 0.7167 data_time: 0.0124 memory: 51970 grad_norm: 0.1381 loss: 0.0500 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8175 recall@top3: 0.8492 prec@top3: 0.7460 recall@top5: 0.9524 prec@top5: 0.5238 loss_action_cls: 0.0500 2023/03/10 21:00:00 - mmengine - INFO - Epoch(train) [6][2220/4451] lr: 2.9616e-06 eta: 12:26:09 time: 0.6115 data_time: 0.0127 memory: 51970 grad_norm: 0.1482 loss: 0.0508 recall@thr=0.5: 0.4792 prec@thr=0.5: 0.5833 recall@top3: 0.6736 prec@top3: 0.5139 recall@top5: 0.7917 prec@top5: 0.3667 loss_action_cls: 0.0508 2023/03/10 21:00:14 - mmengine - INFO - Epoch(train) [6][2240/4451] lr: 2.9614e-06 eta: 12:25:56 time: 0.7071 data_time: 0.0115 memory: 51970 grad_norm: 0.1390 loss: 0.0551 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7659 recall@top3: 0.8492 prec@top3: 0.7778 recall@top5: 0.9127 prec@top5: 0.5048 loss_action_cls: 0.0551 2023/03/10 21:00:26 - mmengine - INFO - Epoch(train) [6][2260/4451] lr: 2.9613e-06 eta: 12:25:37 time: 0.5841 data_time: 0.0135 memory: 51970 grad_norm: 0.1483 loss: 0.0441 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9211 recall@top3: 0.9211 prec@top3: 0.5263 recall@top5: 0.9737 prec@top5: 0.3368 loss_action_cls: 0.0441 2023/03/10 21:00:39 - mmengine - INFO - Epoch(train) [6][2280/4451] lr: 2.9611e-06 eta: 12:25:22 time: 0.6734 data_time: 0.0125 memory: 51970 grad_norm: 0.1428 loss: 0.0495 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7556 recall@top3: 0.7889 prec@top3: 0.6444 recall@top5: 0.9333 prec@top5: 0.4667 loss_action_cls: 0.0495 2023/03/10 21:00:51 - mmengine - INFO - Epoch(train) [6][2300/4451] lr: 2.9610e-06 eta: 12:25:01 time: 0.5669 data_time: 0.0133 memory: 51970 grad_norm: 0.1341 loss: 0.0522 recall@thr=0.5: 0.3796 prec@thr=0.5: 0.5278 recall@top3: 0.8241 prec@top3: 0.5370 recall@top5: 0.9722 prec@top5: 0.3889 loss_action_cls: 0.0522 2023/03/10 21:01:04 - mmengine - INFO - Epoch(train) [6][2320/4451] lr: 2.9608e-06 eta: 12:24:47 time: 0.6856 data_time: 0.0126 memory: 51970 grad_norm: 0.1387 loss: 0.0505 recall@thr=0.5: 0.7433 prec@thr=0.5: 0.8583 recall@top3: 0.7992 prec@top3: 0.7167 recall@top5: 0.9525 prec@top5: 0.5200 loss_action_cls: 0.0505 2023/03/10 21:01:16 - mmengine - INFO - Epoch(train) [6][2340/4451] lr: 2.9607e-06 eta: 12:24:26 time: 0.5639 data_time: 0.0129 memory: 51970 grad_norm: 0.1332 loss: 0.0450 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7063 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.4190 loss_action_cls: 0.0450 2023/03/10 21:01:28 - mmengine - INFO - Epoch(train) [6][2360/4451] lr: 2.9605e-06 eta: 12:24:08 time: 0.6141 data_time: 0.0130 memory: 51970 grad_norm: 0.1311 loss: 0.0469 recall@thr=0.5: 0.5364 prec@thr=0.5: 0.5871 recall@top3: 0.6758 prec@top3: 0.5758 recall@top5: 0.8750 prec@top5: 0.4727 loss_action_cls: 0.0469 2023/03/10 21:01:41 - mmengine - INFO - Epoch(train) [6][2380/4451] lr: 2.9604e-06 eta: 12:23:51 time: 0.6280 data_time: 0.0132 memory: 51970 grad_norm: 0.1271 loss: 0.0498 recall@thr=0.5: 0.7264 prec@thr=0.5: 0.7222 recall@top3: 0.8625 prec@top3: 0.6759 recall@top5: 0.9583 prec@top5: 0.4667 loss_action_cls: 0.0498 2023/03/10 21:01:54 - mmengine - INFO - Epoch(train) [6][2400/4451] lr: 2.9602e-06 eta: 12:23:36 time: 0.6700 data_time: 0.0122 memory: 51970 grad_norm: 0.1448 loss: 0.0511 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8375 recall@top3: 0.8750 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0511 2023/03/10 21:02:06 - mmengine - INFO - Epoch(train) [6][2420/4451] lr: 2.9600e-06 eta: 12:23:17 time: 0.5956 data_time: 0.0139 memory: 51970 grad_norm: 0.1317 loss: 0.0484 recall@thr=0.5: 0.6402 prec@thr=0.5: 0.6439 recall@top3: 0.7614 prec@top3: 0.6212 recall@top5: 0.9394 prec@top5: 0.4727 loss_action_cls: 0.0484 2023/03/10 21:02:19 - mmengine - INFO - Epoch(train) [6][2440/4451] lr: 2.9599e-06 eta: 12:23:02 time: 0.6706 data_time: 0.0131 memory: 51970 grad_norm: 0.1391 loss: 0.0469 recall@thr=0.5: 0.5702 prec@thr=0.5: 0.6491 recall@top3: 0.7544 prec@top3: 0.5789 recall@top5: 0.9298 prec@top5: 0.4421 loss_action_cls: 0.0469 2023/03/10 21:02:31 - mmengine - INFO - Epoch(train) [6][2460/4451] lr: 2.9597e-06 eta: 12:22:43 time: 0.5998 data_time: 0.0141 memory: 51970 grad_norm: 0.1357 loss: 0.0421 recall@thr=0.5: 0.6029 prec@thr=0.5: 0.6471 recall@top3: 0.7941 prec@top3: 0.5686 recall@top5: 0.8971 prec@top5: 0.3882 loss_action_cls: 0.0421 2023/03/10 21:02:46 - mmengine - INFO - Epoch(train) [6][2480/4451] lr: 2.9596e-06 eta: 12:22:31 time: 0.7318 data_time: 0.0133 memory: 51970 grad_norm: 0.1364 loss: 0.0455 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.7899 recall@top3: 0.8420 prec@top3: 0.7101 recall@top5: 0.9413 prec@top5: 0.4870 loss_action_cls: 0.0455 2023/03/10 21:02:58 - mmengine - INFO - Epoch(train) [6][2500/4451] lr: 2.9594e-06 eta: 12:22:13 time: 0.6150 data_time: 0.0135 memory: 51970 grad_norm: 0.1374 loss: 0.0509 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6750 recall@top3: 0.7500 prec@top3: 0.5667 recall@top5: 0.9250 prec@top5: 0.4100 loss_action_cls: 0.0509 2023/03/10 21:03:12 - mmengine - INFO - Epoch(train) [6][2520/4451] lr: 2.9592e-06 eta: 12:22:00 time: 0.6952 data_time: 0.0125 memory: 51970 grad_norm: 0.1440 loss: 0.0442 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6190 recall@top3: 0.8214 prec@top3: 0.4444 recall@top5: 0.9048 prec@top5: 0.3143 loss_action_cls: 0.0442 2023/03/10 21:03:25 - mmengine - INFO - Epoch(train) [6][2540/4451] lr: 2.9591e-06 eta: 12:21:43 time: 0.6413 data_time: 0.0122 memory: 51970 grad_norm: 0.1483 loss: 0.0494 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.6140 recall@top3: 0.8070 prec@top3: 0.5789 recall@top5: 0.8421 prec@top5: 0.3684 loss_action_cls: 0.0494 2023/03/10 21:03:36 - mmengine - INFO - Epoch(train) [6][2560/4451] lr: 2.9589e-06 eta: 12:21:22 time: 0.5515 data_time: 0.0137 memory: 51970 grad_norm: 0.1413 loss: 0.0432 recall@thr=0.5: 0.4292 prec@thr=0.5: 0.5677 recall@top3: 0.6938 prec@top3: 0.6250 recall@top5: 0.9417 prec@top5: 0.5000 loss_action_cls: 0.0432 2023/03/10 21:03:50 - mmengine - INFO - Epoch(train) [6][2580/4451] lr: 2.9587e-06 eta: 12:21:08 time: 0.6860 data_time: 0.0123 memory: 51970 grad_norm: 0.1367 loss: 0.0465 recall@thr=0.5: 0.2770 prec@thr=0.5: 0.4683 recall@top3: 0.5548 prec@top3: 0.4921 recall@top5: 0.8778 prec@top5: 0.4190 loss_action_cls: 0.0465 2023/03/10 21:04:01 - mmengine - INFO - Epoch(train) [6][2600/4451] lr: 2.9586e-06 eta: 12:20:48 time: 0.5870 data_time: 0.0126 memory: 51970 grad_norm: 0.1359 loss: 0.0395 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.7391 recall@top3: 0.6971 prec@top3: 0.5942 recall@top5: 0.9464 prec@top5: 0.4870 loss_action_cls: 0.0395 2023/03/10 21:04:15 - mmengine - INFO - Epoch(train) [6][2620/4451] lr: 2.9584e-06 eta: 12:20:35 time: 0.6966 data_time: 0.0126 memory: 51970 grad_norm: 0.1368 loss: 0.0460 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.6056 recall@top3: 0.7833 prec@top3: 0.4889 recall@top5: 0.9111 prec@top5: 0.3400 loss_action_cls: 0.0460 2023/03/10 21:04:27 - mmengine - INFO - Epoch(train) [6][2640/4451] lr: 2.9582e-06 eta: 12:20:15 time: 0.5761 data_time: 0.0121 memory: 51970 grad_norm: 0.1336 loss: 0.0496 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.7870 recall@top3: 0.8426 prec@top3: 0.6481 recall@top5: 0.9074 prec@top5: 0.4333 loss_action_cls: 0.0496 2023/03/10 21:04:41 - mmengine - INFO - Epoch(train) [6][2660/4451] lr: 2.9581e-06 eta: 12:20:01 time: 0.6857 data_time: 0.0193 memory: 51970 grad_norm: 0.1405 loss: 0.0519 recall@thr=0.5: 0.7240 prec@thr=0.5: 0.9427 recall@top3: 0.8646 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0519 2023/03/10 21:04:52 - mmengine - INFO - Epoch(train) [6][2680/4451] lr: 2.9579e-06 eta: 12:19:41 time: 0.5829 data_time: 0.0121 memory: 51970 grad_norm: 0.1346 loss: 0.0481 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.7037 recall@top3: 0.7222 prec@top3: 0.4630 recall@top5: 0.8333 prec@top5: 0.3222 loss_action_cls: 0.0481 2023/03/10 21:05:07 - mmengine - INFO - Epoch(train) [6][2700/4451] lr: 2.9577e-06 eta: 12:19:31 time: 0.7555 data_time: 0.0128 memory: 51970 grad_norm: 0.1384 loss: 0.0527 recall@thr=0.5: 0.8428 prec@thr=0.5: 0.7466 recall@top3: 0.8750 prec@top3: 0.6742 recall@top5: 0.9451 prec@top5: 0.4455 loss_action_cls: 0.0527 2023/03/10 21:05:19 - mmengine - INFO - Epoch(train) [6][2720/4451] lr: 2.9575e-06 eta: 12:19:11 time: 0.5751 data_time: 0.0127 memory: 51970 grad_norm: 0.1325 loss: 0.0460 recall@thr=0.5: 0.8728 prec@thr=0.5: 0.8947 recall@top3: 0.9868 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0460 2023/03/10 21:05:33 - mmengine - INFO - Epoch(train) [6][2740/4451] lr: 2.9573e-06 eta: 12:18:58 time: 0.7224 data_time: 0.0126 memory: 51970 grad_norm: 0.1365 loss: 0.0516 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.7963 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0516 2023/03/10 21:05:35 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 21:05:45 - mmengine - INFO - Epoch(train) [6][2760/4451] lr: 2.9572e-06 eta: 12:18:39 time: 0.5915 data_time: 0.0119 memory: 51970 grad_norm: 0.1371 loss: 0.0486 recall@thr=0.5: 0.7429 prec@thr=0.5: 0.6786 recall@top3: 0.8127 prec@top3: 0.6032 recall@top5: 0.9270 prec@top5: 0.4286 loss_action_cls: 0.0486 2023/03/10 21:05:58 - mmengine - INFO - Epoch(train) [6][2780/4451] lr: 2.9570e-06 eta: 12:18:24 time: 0.6598 data_time: 0.0130 memory: 51970 grad_norm: 0.1330 loss: 0.0566 recall@thr=0.5: 0.4211 prec@thr=0.5: 0.6316 recall@top3: 0.8070 prec@top3: 0.5263 recall@top5: 0.8684 prec@top5: 0.3474 loss_action_cls: 0.0566 2023/03/10 21:06:10 - mmengine - INFO - Epoch(train) [6][2800/4451] lr: 2.9568e-06 eta: 12:18:03 time: 0.5630 data_time: 0.0269 memory: 51970 grad_norm: 0.1363 loss: 0.0487 recall@thr=0.5: 0.5057 prec@thr=0.5: 0.5862 recall@top3: 0.8218 prec@top3: 0.5287 recall@top5: 0.9138 prec@top5: 0.3586 loss_action_cls: 0.0487 2023/03/10 21:06:24 - mmengine - INFO - Epoch(train) [6][2820/4451] lr: 2.9566e-06 eta: 12:17:50 time: 0.6961 data_time: 0.0134 memory: 51970 grad_norm: 0.1399 loss: 0.0541 recall@thr=0.5: 0.7913 prec@thr=0.5: 0.8437 recall@top3: 0.8217 prec@top3: 0.7000 recall@top5: 0.9158 prec@top5: 0.4950 loss_action_cls: 0.0541 2023/03/10 21:06:36 - mmengine - INFO - Epoch(train) [6][2840/4451] lr: 2.9564e-06 eta: 12:17:33 time: 0.6369 data_time: 0.0120 memory: 51970 grad_norm: 0.1300 loss: 0.0474 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.6520 recall@top3: 0.9265 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0474 2023/03/10 21:06:50 - mmengine - INFO - Epoch(train) [6][2860/4451] lr: 2.9562e-06 eta: 12:17:19 time: 0.6957 data_time: 0.0134 memory: 51970 grad_norm: 0.1420 loss: 0.0495 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6000 recall@top3: 0.7037 prec@top3: 0.6111 recall@top5: 0.8426 prec@top5: 0.4444 loss_action_cls: 0.0495 2023/03/10 21:07:02 - mmengine - INFO - Epoch(train) [6][2880/4451] lr: 2.9561e-06 eta: 12:17:01 time: 0.6072 data_time: 0.0118 memory: 51970 grad_norm: 0.1438 loss: 0.0499 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.6500 recall@top3: 0.7917 prec@top3: 0.5167 recall@top5: 0.9833 prec@top5: 0.4200 loss_action_cls: 0.0499 2023/03/10 21:07:15 - mmengine - INFO - Epoch(train) [6][2900/4451] lr: 2.9559e-06 eta: 12:16:45 time: 0.6499 data_time: 0.0142 memory: 51970 grad_norm: 0.1340 loss: 0.0460 recall@thr=0.5: 0.5259 prec@thr=0.5: 0.6083 recall@top3: 0.6070 prec@top3: 0.5175 recall@top5: 0.8307 prec@top5: 0.4263 loss_action_cls: 0.0460 2023/03/10 21:07:27 - mmengine - INFO - Epoch(train) [6][2920/4451] lr: 2.9557e-06 eta: 12:16:26 time: 0.5909 data_time: 0.0252 memory: 51970 grad_norm: 0.1392 loss: 0.0451 recall@thr=0.5: 0.5903 prec@thr=0.5: 0.5694 recall@top3: 0.7708 prec@top3: 0.4861 recall@top5: 0.9375 prec@top5: 0.3667 loss_action_cls: 0.0451 2023/03/10 21:07:41 - mmengine - INFO - Epoch(train) [6][2940/4451] lr: 2.9555e-06 eta: 12:16:12 time: 0.6829 data_time: 0.0143 memory: 51970 grad_norm: 0.1323 loss: 0.0468 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.7843 recall@top3: 0.9706 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0468 2023/03/10 21:07:52 - mmengine - INFO - Epoch(train) [6][2960/4451] lr: 2.9553e-06 eta: 12:15:51 time: 0.5556 data_time: 0.0120 memory: 51970 grad_norm: 0.1318 loss: 0.0479 recall@thr=0.5: 0.6437 prec@thr=0.5: 0.6897 recall@top3: 0.7644 prec@top3: 0.6897 recall@top5: 0.8563 prec@top5: 0.4759 loss_action_cls: 0.0479 2023/03/10 21:08:06 - mmengine - INFO - Epoch(train) [6][2980/4451] lr: 2.9551e-06 eta: 12:15:37 time: 0.6926 data_time: 0.0146 memory: 51970 grad_norm: 0.1463 loss: 0.0510 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8684 recall@top3: 0.9386 prec@top3: 0.7544 recall@top5: 0.9825 prec@top5: 0.4842 loss_action_cls: 0.0510 2023/03/10 21:08:19 - mmengine - INFO - Epoch(train) [6][3000/4451] lr: 2.9549e-06 eta: 12:15:21 time: 0.6422 data_time: 0.0114 memory: 51970 grad_norm: 0.1394 loss: 0.0471 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.8922 recall@top3: 0.8235 prec@top3: 0.7255 recall@top5: 0.9657 prec@top5: 0.5294 loss_action_cls: 0.0471 2023/03/10 21:08:33 - mmengine - INFO - Epoch(train) [6][3020/4451] lr: 2.9547e-06 eta: 12:15:09 time: 0.7355 data_time: 0.0131 memory: 51970 grad_norm: 0.1385 loss: 0.0485 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.6754 recall@top3: 0.8465 prec@top3: 0.5789 recall@top5: 0.9825 prec@top5: 0.4316 loss_action_cls: 0.0485 2023/03/10 21:08:45 - mmengine - INFO - Epoch(train) [6][3040/4451] lr: 2.9545e-06 eta: 12:14:51 time: 0.5913 data_time: 0.0119 memory: 51970 grad_norm: 0.1355 loss: 0.0478 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.7652 recall@top3: 0.8182 prec@top3: 0.5758 recall@top5: 0.9091 prec@top5: 0.3909 loss_action_cls: 0.0478 2023/03/10 21:09:00 - mmengine - INFO - Epoch(train) [6][3060/4451] lr: 2.9543e-06 eta: 12:14:40 time: 0.7600 data_time: 0.0759 memory: 51970 grad_norm: 0.1339 loss: 0.0536 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8730 recall@top3: 0.9524 prec@top3: 0.6032 recall@top5: 1.0000 prec@top5: 0.3905 loss_action_cls: 0.0536 2023/03/10 21:09:12 - mmengine - INFO - Epoch(train) [6][3080/4451] lr: 2.9541e-06 eta: 12:14:20 time: 0.5597 data_time: 0.0386 memory: 51970 grad_norm: 0.1286 loss: 0.0454 recall@thr=0.5: 0.4363 prec@thr=0.5: 0.5588 recall@top3: 0.7549 prec@top3: 0.5686 recall@top5: 0.7892 prec@top5: 0.3647 loss_action_cls: 0.0454 2023/03/10 21:09:25 - mmengine - INFO - Epoch(train) [6][3100/4451] lr: 2.9539e-06 eta: 12:14:04 time: 0.6638 data_time: 0.0901 memory: 51970 grad_norm: 0.1435 loss: 0.0447 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7240 recall@top3: 0.8542 prec@top3: 0.6146 recall@top5: 0.9375 prec@top5: 0.4187 loss_action_cls: 0.0447 2023/03/10 21:09:38 - mmengine - INFO - Epoch(train) [6][3120/4451] lr: 2.9537e-06 eta: 12:13:49 time: 0.6644 data_time: 0.0125 memory: 51970 grad_norm: 0.1319 loss: 0.0522 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.6556 recall@top3: 0.8778 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0522 2023/03/10 21:09:53 - mmengine - INFO - Epoch(train) [6][3140/4451] lr: 2.9535e-06 eta: 12:13:37 time: 0.7210 data_time: 0.0138 memory: 51970 grad_norm: 0.1411 loss: 0.0458 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7895 recall@top3: 0.8070 prec@top3: 0.5088 recall@top5: 0.8772 prec@top5: 0.3368 loss_action_cls: 0.0458 2023/03/10 21:10:06 - mmengine - INFO - Epoch(train) [6][3160/4451] lr: 2.9533e-06 eta: 12:13:21 time: 0.6585 data_time: 0.0119 memory: 51970 grad_norm: 0.1374 loss: 0.0505 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8397 recall@top3: 0.8462 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4308 loss_action_cls: 0.0505 2023/03/10 21:10:18 - mmengine - INFO - Epoch(train) [6][3180/4451] lr: 2.9531e-06 eta: 12:13:05 time: 0.6329 data_time: 0.0125 memory: 51970 grad_norm: 0.1376 loss: 0.0433 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.7250 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 0.9083 prec@top5: 0.3900 loss_action_cls: 0.0433 2023/03/10 21:10:30 - mmengine - INFO - Epoch(train) [6][3200/4451] lr: 2.9529e-06 eta: 12:12:46 time: 0.5973 data_time: 0.0120 memory: 51970 grad_norm: 0.1398 loss: 0.0488 recall@thr=0.5: 0.5242 prec@thr=0.5: 0.7124 recall@top3: 0.7124 prec@top3: 0.5806 recall@top5: 0.9086 prec@top5: 0.4710 loss_action_cls: 0.0488 2023/03/10 21:10:44 - mmengine - INFO - Epoch(train) [6][3220/4451] lr: 2.9527e-06 eta: 12:12:32 time: 0.6878 data_time: 0.0117 memory: 51970 grad_norm: 0.1347 loss: 0.0485 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.7059 recall@top3: 0.7010 prec@top3: 0.6078 recall@top5: 0.9461 prec@top5: 0.5294 loss_action_cls: 0.0485 2023/03/10 21:10:56 - mmengine - INFO - Epoch(train) [6][3240/4451] lr: 2.9524e-06 eta: 12:12:14 time: 0.6009 data_time: 0.0138 memory: 51970 grad_norm: 0.1423 loss: 0.0444 recall@thr=0.5: 0.6912 prec@thr=0.5: 0.8824 recall@top3: 0.7941 prec@top3: 0.7255 recall@top5: 0.8824 prec@top5: 0.5059 loss_action_cls: 0.0444 2023/03/10 21:11:08 - mmengine - INFO - Epoch(train) [6][3260/4451] lr: 2.9522e-06 eta: 12:11:56 time: 0.6159 data_time: 0.0121 memory: 51970 grad_norm: 0.1345 loss: 0.0412 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7500 recall@top3: 0.8917 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0412 2023/03/10 21:11:21 - mmengine - INFO - Epoch(train) [6][3280/4451] lr: 2.9520e-06 eta: 12:11:40 time: 0.6448 data_time: 0.0277 memory: 51970 grad_norm: 0.1340 loss: 0.0492 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7976 recall@top3: 0.8571 prec@top3: 0.5714 recall@top5: 0.8810 prec@top5: 0.3571 loss_action_cls: 0.0492 2023/03/10 21:11:38 - mmengine - INFO - Epoch(train) [6][3300/4451] lr: 2.9518e-06 eta: 12:11:32 time: 0.8136 data_time: 0.1886 memory: 51970 grad_norm: 0.1352 loss: 0.0511 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.5841 recall@top3: 0.7029 prec@top3: 0.5942 recall@top5: 0.7971 prec@top5: 0.4000 loss_action_cls: 0.0511 2023/03/10 21:11:50 - mmengine - INFO - Epoch(train) [6][3320/4451] lr: 2.9516e-06 eta: 12:11:15 time: 0.6274 data_time: 0.1099 memory: 51970 grad_norm: 0.1357 loss: 0.0415 recall@thr=0.5: 0.7470 prec@thr=0.5: 0.8107 recall@top3: 0.8155 prec@top3: 0.7976 recall@top5: 0.9464 prec@top5: 0.5500 loss_action_cls: 0.0415 2023/03/10 21:12:05 - mmengine - INFO - Epoch(train) [6][3340/4451] lr: 2.9514e-06 eta: 12:11:05 time: 0.7647 data_time: 0.0114 memory: 51970 grad_norm: 0.1403 loss: 0.0491 recall@thr=0.5: 0.5920 prec@thr=0.5: 0.6782 recall@top3: 0.9282 prec@top3: 0.5402 recall@top5: 0.9368 prec@top5: 0.3310 loss_action_cls: 0.0491 2023/03/10 21:12:18 - mmengine - INFO - Epoch(train) [6][3360/4451] lr: 2.9511e-06 eta: 12:10:47 time: 0.6180 data_time: 0.0144 memory: 51970 grad_norm: 0.1459 loss: 0.0404 recall@thr=0.5: 0.6162 prec@thr=0.5: 0.8232 recall@top3: 0.7778 prec@top3: 0.6364 recall@top5: 0.9141 prec@top5: 0.4545 loss_action_cls: 0.0404 2023/03/10 21:12:31 - mmengine - INFO - Epoch(train) [6][3380/4451] lr: 2.9509e-06 eta: 12:10:33 time: 0.6733 data_time: 0.0116 memory: 51970 grad_norm: 0.1396 loss: 0.0523 recall@thr=0.5: 0.7938 prec@thr=0.5: 0.8426 recall@top3: 0.8710 prec@top3: 0.7037 recall@top5: 0.9636 prec@top5: 0.4815 loss_action_cls: 0.0523 2023/03/10 21:12:45 - mmengine - INFO - Epoch(train) [6][3400/4451] lr: 2.9507e-06 eta: 12:10:19 time: 0.6928 data_time: 0.1177 memory: 51970 grad_norm: 0.1336 loss: 0.0434 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6944 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 0.9306 prec@top5: 0.4000 loss_action_cls: 0.0434 2023/03/10 21:12:57 - mmengine - INFO - Epoch(train) [6][3420/4451] lr: 2.9505e-06 eta: 12:10:01 time: 0.6170 data_time: 0.0534 memory: 51970 grad_norm: 0.1316 loss: 0.0471 recall@thr=0.5: 0.7576 prec@thr=0.5: 0.7727 recall@top3: 0.8939 prec@top3: 0.5909 recall@top5: 0.9773 prec@top5: 0.4000 loss_action_cls: 0.0471 2023/03/10 21:13:10 - mmengine - INFO - Epoch(train) [6][3440/4451] lr: 2.9503e-06 eta: 12:09:44 time: 0.6263 data_time: 0.0570 memory: 51970 grad_norm: 0.1325 loss: 0.0498 recall@thr=0.5: 0.7643 prec@thr=0.5: 0.8254 recall@top3: 0.9071 prec@top3: 0.6190 recall@top5: 0.9381 prec@top5: 0.4000 loss_action_cls: 0.0498 2023/03/10 21:13:22 - mmengine - INFO - Epoch(train) [6][3460/4451] lr: 2.9500e-06 eta: 12:09:26 time: 0.6022 data_time: 0.1278 memory: 51970 grad_norm: 0.1341 loss: 0.0469 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8000 recall@top3: 0.8667 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0469 2023/03/10 21:13:35 - mmengine - INFO - Epoch(train) [6][3480/4451] lr: 2.9498e-06 eta: 12:09:09 time: 0.6277 data_time: 0.2014 memory: 51970 grad_norm: 0.1283 loss: 0.0428 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.7381 recall@top3: 0.8413 prec@top3: 0.6825 recall@top5: 0.9762 prec@top5: 0.4857 loss_action_cls: 0.0428 2023/03/10 21:13:48 - mmengine - INFO - Epoch(train) [6][3500/4451] lr: 2.9496e-06 eta: 12:08:53 time: 0.6502 data_time: 0.0349 memory: 51970 grad_norm: 0.1400 loss: 0.0446 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7157 recall@top3: 0.7794 prec@top3: 0.6078 recall@top5: 0.9706 prec@top5: 0.4706 loss_action_cls: 0.0446 2023/03/10 21:14:00 - mmengine - INFO - Epoch(train) [6][3520/4451] lr: 2.9493e-06 eta: 12:08:37 time: 0.6323 data_time: 0.1192 memory: 51970 grad_norm: 0.1361 loss: 0.0507 recall@thr=0.5: 0.5761 prec@thr=0.5: 0.6667 recall@top3: 0.7645 prec@top3: 0.5362 recall@top5: 0.8152 prec@top5: 0.3478 loss_action_cls: 0.0507 2023/03/10 21:14:13 - mmengine - INFO - Epoch(train) [6][3540/4451] lr: 2.9491e-06 eta: 12:08:20 time: 0.6305 data_time: 0.0727 memory: 51970 grad_norm: 0.1331 loss: 0.0479 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.6296 recall@top3: 0.7130 prec@top3: 0.4074 recall@top5: 0.8843 prec@top5: 0.3333 loss_action_cls: 0.0479 2023/03/10 21:14:25 - mmengine - INFO - Epoch(train) [6][3560/4451] lr: 2.9489e-06 eta: 12:08:02 time: 0.6178 data_time: 0.0135 memory: 51970 grad_norm: 0.1352 loss: 0.0503 recall@thr=0.5: 0.6803 prec@thr=0.5: 0.7197 recall@top3: 0.7326 prec@top3: 0.6818 recall@top5: 0.9432 prec@top5: 0.5000 loss_action_cls: 0.0503 2023/03/10 21:14:38 - mmengine - INFO - Epoch(train) [6][3580/4451] lr: 2.9487e-06 eta: 12:07:46 time: 0.6344 data_time: 0.0119 memory: 51970 grad_norm: 0.1466 loss: 0.0427 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.8175 recall@top3: 0.9127 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4476 loss_action_cls: 0.0427 2023/03/10 21:14:52 - mmengine - INFO - Epoch(train) [6][3600/4451] lr: 2.9484e-06 eta: 12:07:32 time: 0.6885 data_time: 0.0135 memory: 51970 grad_norm: 0.1277 loss: 0.0539 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.6979 recall@top3: 0.6875 prec@top3: 0.5000 recall@top5: 0.8854 prec@top5: 0.3750 loss_action_cls: 0.0539 2023/03/10 21:15:04 - mmengine - INFO - Epoch(train) [6][3620/4451] lr: 2.9482e-06 eta: 12:07:15 time: 0.6276 data_time: 0.0126 memory: 51970 grad_norm: 0.1403 loss: 0.0465 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6587 recall@top3: 0.8611 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.4095 loss_action_cls: 0.0465 2023/03/10 21:15:17 - mmengine - INFO - Epoch(train) [6][3640/4451] lr: 2.9479e-06 eta: 12:06:59 time: 0.6521 data_time: 0.0133 memory: 51970 grad_norm: 0.1275 loss: 0.0472 recall@thr=0.5: 0.5062 prec@thr=0.5: 0.6025 recall@top3: 0.6698 prec@top3: 0.4568 recall@top5: 0.8827 prec@top5: 0.3630 loss_action_cls: 0.0472 2023/03/10 21:15:30 - mmengine - INFO - Epoch(train) [6][3660/4451] lr: 2.9477e-06 eta: 12:06:42 time: 0.6250 data_time: 0.0124 memory: 51970 grad_norm: 0.1303 loss: 0.0473 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.6759 recall@top3: 0.7593 prec@top3: 0.5000 recall@top5: 0.9630 prec@top5: 0.3778 loss_action_cls: 0.0473 2023/03/10 21:15:42 - mmengine - INFO - Epoch(train) [6][3680/4451] lr: 2.9475e-06 eta: 12:06:25 time: 0.6282 data_time: 0.0120 memory: 51970 grad_norm: 0.1369 loss: 0.0489 recall@thr=0.5: 0.6620 prec@thr=0.5: 0.8843 recall@top3: 0.7778 prec@top3: 0.7593 recall@top5: 0.9028 prec@top5: 0.5333 loss_action_cls: 0.0489 2023/03/10 21:15:55 - mmengine - INFO - Epoch(train) [6][3700/4451] lr: 2.9472e-06 eta: 12:06:08 time: 0.6244 data_time: 0.0129 memory: 51970 grad_norm: 0.1299 loss: 0.0465 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8889 recall@top3: 0.8413 prec@top3: 0.6190 recall@top5: 0.9683 prec@top5: 0.4476 loss_action_cls: 0.0465 2023/03/10 21:16:08 - mmengine - INFO - Epoch(train) [6][3720/4451] lr: 2.9470e-06 eta: 12:05:53 time: 0.6572 data_time: 0.0126 memory: 51970 grad_norm: 0.1320 loss: 0.0437 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7353 recall@top3: 0.8235 prec@top3: 0.7059 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0437 2023/03/10 21:16:20 - mmengine - INFO - Epoch(train) [6][3740/4451] lr: 2.9467e-06 eta: 12:05:34 time: 0.5818 data_time: 0.0158 memory: 51970 grad_norm: 0.1341 loss: 0.0497 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.8095 recall@top3: 0.7778 prec@top3: 0.7143 recall@top5: 0.9286 prec@top5: 0.5333 loss_action_cls: 0.0497 2023/03/10 21:16:23 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 21:16:32 - mmengine - INFO - Epoch(train) [6][3760/4451] lr: 2.9465e-06 eta: 12:05:16 time: 0.6149 data_time: 0.0136 memory: 51970 grad_norm: 0.1337 loss: 0.0473 recall@thr=0.5: 0.7364 prec@thr=0.5: 0.7323 recall@top3: 0.8323 prec@top3: 0.6566 recall@top5: 0.9566 prec@top5: 0.4788 loss_action_cls: 0.0473 2023/03/10 21:16:45 - mmengine - INFO - Epoch(train) [6][3780/4451] lr: 2.9462e-06 eta: 12:04:59 time: 0.6317 data_time: 0.0148 memory: 51970 grad_norm: 0.1346 loss: 0.0449 recall@thr=0.5: 0.4298 prec@thr=0.5: 0.6579 recall@top3: 0.7368 prec@top3: 0.5614 recall@top5: 0.8640 prec@top5: 0.4000 loss_action_cls: 0.0449 2023/03/10 21:16:57 - mmengine - INFO - Epoch(train) [6][3800/4451] lr: 2.9460e-06 eta: 12:04:43 time: 0.6445 data_time: 0.0155 memory: 51970 grad_norm: 0.1371 loss: 0.0537 recall@thr=0.5: 0.5694 prec@thr=0.5: 0.6667 recall@top3: 0.7917 prec@top3: 0.5556 recall@top5: 0.8750 prec@top5: 0.3667 loss_action_cls: 0.0537 2023/03/10 21:17:11 - mmengine - INFO - Epoch(train) [6][3820/4451] lr: 2.9457e-06 eta: 12:04:29 time: 0.6851 data_time: 0.0230 memory: 51970 grad_norm: 0.1287 loss: 0.0465 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.8056 recall@top3: 0.8287 prec@top3: 0.5556 recall@top5: 0.9537 prec@top5: 0.4000 loss_action_cls: 0.0465 2023/03/10 21:17:24 - mmengine - INFO - Epoch(train) [6][3840/4451] lr: 2.9455e-06 eta: 12:04:13 time: 0.6341 data_time: 0.0373 memory: 51970 grad_norm: 0.1268 loss: 0.0469 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7870 recall@top3: 0.8611 prec@top3: 0.7407 recall@top5: 0.9074 prec@top5: 0.4778 loss_action_cls: 0.0469 2023/03/10 21:17:37 - mmengine - INFO - Epoch(train) [6][3860/4451] lr: 2.9452e-06 eta: 12:03:57 time: 0.6418 data_time: 0.0153 memory: 51970 grad_norm: 0.1361 loss: 0.0471 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.7826 recall@top3: 0.8551 prec@top3: 0.6087 recall@top5: 0.9348 prec@top5: 0.4174 loss_action_cls: 0.0471 2023/03/10 21:17:50 - mmengine - INFO - Epoch(train) [6][3880/4451] lr: 2.9450e-06 eta: 12:03:41 time: 0.6522 data_time: 0.0114 memory: 51970 grad_norm: 0.1319 loss: 0.0442 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.6667 recall@top3: 0.8426 prec@top3: 0.4630 recall@top5: 0.8981 prec@top5: 0.3111 loss_action_cls: 0.0442 2023/03/10 21:18:02 - mmengine - INFO - Epoch(train) [6][3900/4451] lr: 2.9447e-06 eta: 12:03:24 time: 0.6267 data_time: 0.0449 memory: 51970 grad_norm: 0.1336 loss: 0.0530 recall@thr=0.5: 0.7108 prec@thr=0.5: 0.8235 recall@top3: 0.8873 prec@top3: 0.6078 recall@top5: 0.9804 prec@top5: 0.4118 loss_action_cls: 0.0530 2023/03/10 21:18:15 - mmengine - INFO - Epoch(train) [6][3920/4451] lr: 2.9445e-06 eta: 12:03:08 time: 0.6383 data_time: 0.1208 memory: 51970 grad_norm: 0.1388 loss: 0.0442 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.6389 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 0.9048 prec@top5: 0.4000 loss_action_cls: 0.0442 2023/03/10 21:18:27 - mmengine - INFO - Epoch(train) [6][3940/4451] lr: 2.9442e-06 eta: 12:02:49 time: 0.5924 data_time: 0.0793 memory: 51970 grad_norm: 0.1308 loss: 0.0476 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8000 recall@top3: 0.8068 prec@top3: 0.6970 recall@top5: 0.8939 prec@top5: 0.4818 loss_action_cls: 0.0476 2023/03/10 21:18:42 - mmengine - INFO - Epoch(train) [6][3960/4451] lr: 2.9440e-06 eta: 12:02:38 time: 0.7502 data_time: 0.0123 memory: 51970 grad_norm: 0.1334 loss: 0.0483 recall@thr=0.5: 0.4911 prec@thr=0.5: 0.7202 recall@top3: 0.6488 prec@top3: 0.6548 recall@top5: 0.8482 prec@top5: 0.5214 loss_action_cls: 0.0483 2023/03/10 21:18:55 - mmengine - INFO - Epoch(train) [6][3980/4451] lr: 2.9437e-06 eta: 12:02:23 time: 0.6555 data_time: 0.0130 memory: 51970 grad_norm: 0.1295 loss: 0.0446 recall@thr=0.5: 0.8681 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.6250 recall@top5: 0.9861 prec@top5: 0.4167 loss_action_cls: 0.0446 2023/03/10 21:19:08 - mmengine - INFO - Epoch(train) [6][4000/4451] lr: 2.9434e-06 eta: 12:02:08 time: 0.6652 data_time: 0.0124 memory: 51970 grad_norm: 0.1305 loss: 0.0426 recall@thr=0.5: 0.6367 prec@thr=0.5: 0.6233 recall@top3: 0.7267 prec@top3: 0.6000 recall@top5: 0.9133 prec@top5: 0.4560 loss_action_cls: 0.0426 2023/03/10 21:19:20 - mmengine - INFO - Epoch(train) [6][4020/4451] lr: 2.9432e-06 eta: 12:01:49 time: 0.5746 data_time: 0.0134 memory: 51970 grad_norm: 0.1389 loss: 0.0481 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8929 recall@top3: 0.9286 prec@top3: 0.5476 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0481 2023/03/10 21:19:32 - mmengine - INFO - Epoch(train) [6][4040/4451] lr: 2.9429e-06 eta: 12:01:30 time: 0.6007 data_time: 0.0115 memory: 51970 grad_norm: 0.1406 loss: 0.0479 recall@thr=0.5: 0.6688 prec@thr=0.5: 0.8653 recall@top3: 0.7514 prec@top3: 0.7639 recall@top5: 0.8764 prec@top5: 0.5667 loss_action_cls: 0.0479 2023/03/10 21:19:45 - mmengine - INFO - Epoch(train) [6][4060/4451] lr: 2.9427e-06 eta: 12:01:15 time: 0.6505 data_time: 0.1575 memory: 51970 grad_norm: 0.1327 loss: 0.0417 recall@thr=0.5: 0.6360 prec@thr=0.5: 0.6404 recall@top3: 0.8246 prec@top3: 0.6140 recall@top5: 0.9211 prec@top5: 0.4105 loss_action_cls: 0.0417 2023/03/10 21:19:57 - mmengine - INFO - Epoch(train) [6][4080/4451] lr: 2.9424e-06 eta: 12:00:57 time: 0.6086 data_time: 0.0506 memory: 51970 grad_norm: 0.1370 loss: 0.0468 recall@thr=0.5: 0.5609 prec@thr=0.5: 0.5885 recall@top3: 0.6167 prec@top3: 0.4583 recall@top5: 0.6943 prec@top5: 0.3250 loss_action_cls: 0.0468 2023/03/10 21:20:11 - mmengine - INFO - Epoch(train) [6][4100/4451] lr: 2.9421e-06 eta: 12:00:44 time: 0.7064 data_time: 0.1480 memory: 51970 grad_norm: 0.1336 loss: 0.0487 recall@thr=0.5: 0.5192 prec@thr=0.5: 0.6474 recall@top3: 0.8077 prec@top3: 0.5641 recall@top5: 0.8942 prec@top5: 0.3923 loss_action_cls: 0.0487 2023/03/10 21:20:24 - mmengine - INFO - Epoch(train) [6][4120/4451] lr: 2.9419e-06 eta: 12:00:27 time: 0.6186 data_time: 0.1026 memory: 51970 grad_norm: 0.1334 loss: 0.0443 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7544 recall@top3: 0.8421 prec@top3: 0.5789 recall@top5: 0.9737 prec@top5: 0.4105 loss_action_cls: 0.0443 2023/03/10 21:20:36 - mmengine - INFO - Epoch(train) [6][4140/4451] lr: 2.9416e-06 eta: 12:00:10 time: 0.6346 data_time: 0.1215 memory: 51970 grad_norm: 0.1293 loss: 0.0483 recall@thr=0.5: 0.5867 prec@thr=0.5: 0.7400 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.8600 prec@top5: 0.4720 loss_action_cls: 0.0483 2023/03/10 21:20:50 - mmengine - INFO - Epoch(train) [6][4160/4451] lr: 2.9413e-06 eta: 11:59:56 time: 0.6687 data_time: 0.0536 memory: 51970 grad_norm: 0.1284 loss: 0.0489 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7281 recall@top3: 0.8640 prec@top3: 0.7193 recall@top5: 0.9649 prec@top5: 0.4947 loss_action_cls: 0.0489 2023/03/10 21:21:03 - mmengine - INFO - Epoch(train) [6][4180/4451] lr: 2.9410e-06 eta: 11:59:40 time: 0.6587 data_time: 0.1478 memory: 51970 grad_norm: 0.1317 loss: 0.0462 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6579 recall@top3: 0.7544 prec@top3: 0.5789 recall@top5: 0.8684 prec@top5: 0.4105 loss_action_cls: 0.0462 2023/03/10 21:21:15 - mmengine - INFO - Epoch(train) [6][4200/4451] lr: 2.9408e-06 eta: 11:59:23 time: 0.6094 data_time: 0.1694 memory: 51970 grad_norm: 0.1368 loss: 0.0439 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.7262 recall@top3: 0.8274 prec@top3: 0.5238 recall@top5: 0.9107 prec@top5: 0.3714 loss_action_cls: 0.0439 2023/03/10 21:21:28 - mmengine - INFO - Epoch(train) [6][4220/4451] lr: 2.9405e-06 eta: 11:59:08 time: 0.6755 data_time: 0.1147 memory: 51970 grad_norm: 0.1322 loss: 0.0561 recall@thr=0.5: 0.5324 prec@thr=0.5: 0.6667 recall@top3: 0.8787 prec@top3: 0.5926 recall@top5: 0.9194 prec@top5: 0.3889 loss_action_cls: 0.0561 2023/03/10 21:21:42 - mmengine - INFO - Epoch(train) [6][4240/4451] lr: 2.9402e-06 eta: 11:58:53 time: 0.6641 data_time: 0.0354 memory: 51970 grad_norm: 0.1342 loss: 0.0449 recall@thr=0.5: 0.6115 prec@thr=0.5: 0.7604 recall@top3: 0.7583 prec@top3: 0.6875 recall@top5: 0.8896 prec@top5: 0.4812 loss_action_cls: 0.0449 2023/03/10 21:21:54 - mmengine - INFO - Epoch(train) [6][4260/4451] lr: 2.9399e-06 eta: 11:58:36 time: 0.6135 data_time: 0.0136 memory: 51970 grad_norm: 0.1300 loss: 0.0473 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7197 recall@top3: 0.7576 prec@top3: 0.6364 recall@top5: 0.8939 prec@top5: 0.4364 loss_action_cls: 0.0473 2023/03/10 21:22:07 - mmengine - INFO - Epoch(train) [6][4280/4451] lr: 2.9397e-06 eta: 11:58:19 time: 0.6257 data_time: 0.0120 memory: 51970 grad_norm: 0.1321 loss: 0.0428 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.8333 recall@top3: 0.8306 prec@top3: 0.6296 recall@top5: 0.8722 prec@top5: 0.4000 loss_action_cls: 0.0428 2023/03/10 21:22:19 - mmengine - INFO - Epoch(train) [6][4300/4451] lr: 2.9394e-06 eta: 11:58:03 time: 0.6408 data_time: 0.0137 memory: 51970 grad_norm: 0.1293 loss: 0.0470 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6508 recall@top3: 0.9206 prec@top3: 0.5873 recall@top5: 0.9762 prec@top5: 0.3810 loss_action_cls: 0.0470 2023/03/10 21:22:33 - mmengine - INFO - Epoch(train) [6][4320/4451] lr: 2.9391e-06 eta: 11:57:48 time: 0.6735 data_time: 0.0118 memory: 51970 grad_norm: 0.1340 loss: 0.0475 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.7456 recall@top3: 0.8596 prec@top3: 0.6842 recall@top5: 0.9123 prec@top5: 0.4421 loss_action_cls: 0.0475 2023/03/10 21:22:45 - mmengine - INFO - Epoch(train) [6][4340/4451] lr: 2.9388e-06 eta: 11:57:30 time: 0.5933 data_time: 0.0121 memory: 51970 grad_norm: 0.1351 loss: 0.0449 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.9167 recall@top3: 0.9389 prec@top3: 0.7222 recall@top5: 0.9833 prec@top5: 0.4667 loss_action_cls: 0.0449 2023/03/10 21:22:58 - mmengine - INFO - Epoch(train) [6][4360/4451] lr: 2.9385e-06 eta: 11:57:16 time: 0.6873 data_time: 0.0133 memory: 51970 grad_norm: 0.1308 loss: 0.0489 recall@thr=0.5: 0.5519 prec@thr=0.5: 0.6667 recall@top3: 0.8111 prec@top3: 0.6667 recall@top5: 0.9889 prec@top5: 0.5111 loss_action_cls: 0.0489 2023/03/10 21:23:11 - mmengine - INFO - Epoch(train) [6][4380/4451] lr: 2.9382e-06 eta: 11:56:59 time: 0.6089 data_time: 0.0121 memory: 51970 grad_norm: 0.1321 loss: 0.0429 recall@thr=0.5: 0.6951 prec@thr=0.5: 0.7083 recall@top3: 0.7472 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.5333 loss_action_cls: 0.0429 2023/03/10 21:23:23 - mmengine - INFO - Epoch(train) [6][4400/4451] lr: 2.9380e-06 eta: 11:56:41 time: 0.6049 data_time: 0.0122 memory: 51970 grad_norm: 0.1302 loss: 0.0439 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8250 recall@top3: 0.8125 prec@top3: 0.7167 recall@top5: 0.8917 prec@top5: 0.4900 loss_action_cls: 0.0439 2023/03/10 21:23:36 - mmengine - INFO - Epoch(train) [6][4420/4451] lr: 2.9377e-06 eta: 11:56:26 time: 0.6640 data_time: 0.0127 memory: 51970 grad_norm: 0.1329 loss: 0.0493 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.7468 recall@top3: 0.7917 prec@top3: 0.7692 recall@top5: 0.9744 prec@top5: 0.5615 loss_action_cls: 0.0493 2023/03/10 21:23:48 - mmengine - INFO - Epoch(train) [6][4440/4451] lr: 2.9374e-06 eta: 11:56:08 time: 0.5998 data_time: 0.0123 memory: 51970 grad_norm: 0.1467 loss: 0.0471 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.5897 recall@top3: 0.8910 prec@top3: 0.4744 recall@top5: 0.9487 prec@top5: 0.3154 loss_action_cls: 0.0471 2023/03/10 21:23:53 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 21:23:53 - mmengine - INFO - Epoch(train) [6][4451/4451] lr: 2.9372e-06 eta: 11:55:53 time: 0.5109 data_time: 0.0110 memory: 51970 grad_norm: 0.1347 loss: 0.0451 recall@thr=0.5: 0.9722 prec@thr=0.5: 0.9583 recall@top3: 0.9097 prec@top3: 0.8611 recall@top5: 0.9722 prec@top5: 0.5667 loss_action_cls: 0.0451 2023/03/10 21:23:53 - mmengine - INFO - Saving checkpoint at 6 epochs 2023/03/10 21:23:59 - mmengine - INFO - Epoch(val) [6][ 20/6282] eta: 0:08:43 time: 0.0836 data_time: 0.0380 memory: 2331 2023/03/10 21:24:00 - mmengine - INFO - Epoch(val) [6][ 40/6282] eta: 0:07:14 time: 0.0556 data_time: 0.0129 memory: 2331 2023/03/10 21:24:02 - mmengine - INFO - Epoch(val) [6][ 60/6282] eta: 0:07:24 time: 0.0751 data_time: 0.0322 memory: 2331 2023/03/10 21:24:03 - mmengine - INFO - Epoch(val) [6][ 80/6282] eta: 0:06:57 time: 0.0548 data_time: 0.0105 memory: 2331 2023/03/10 21:24:04 - mmengine - INFO - Epoch(val) [6][ 100/6282] eta: 0:06:49 time: 0.0619 data_time: 0.0178 memory: 2331 2023/03/10 21:24:05 - mmengine - INFO - Epoch(val) [6][ 120/6282] eta: 0:06:42 time: 0.0605 data_time: 0.0069 memory: 2934 2023/03/10 21:24:07 - mmengine - INFO - Epoch(val) [6][ 140/6282] eta: 0:06:37 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 21:24:08 - mmengine - INFO - Epoch(val) [6][ 160/6282] eta: 0:06:34 time: 0.0617 data_time: 0.0021 memory: 2934 2023/03/10 21:24:09 - mmengine - INFO - Epoch(val) [6][ 180/6282] eta: 0:06:31 time: 0.0628 data_time: 0.0023 memory: 2934 2023/03/10 21:24:10 - mmengine - INFO - Epoch(val) [6][ 200/6282] eta: 0:06:28 time: 0.0610 data_time: 0.0021 memory: 2934 2023/03/10 21:24:12 - mmengine - INFO - Epoch(val) [6][ 220/6282] eta: 0:06:36 time: 0.0812 data_time: 0.0021 memory: 2396 2023/03/10 21:24:13 - mmengine - INFO - Epoch(val) [6][ 240/6282] eta: 0:06:26 time: 0.0484 data_time: 0.0022 memory: 2396 2023/03/10 21:24:14 - mmengine - INFO 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eta: 0:05:57 time: 0.0612 data_time: 0.0146 memory: 2396 2023/03/10 21:24:35 - mmengine - INFO - Epoch(val) [6][ 600/6282] eta: 0:05:55 time: 0.0592 data_time: 0.0128 memory: 2396 2023/03/10 21:24:36 - mmengine - INFO - Epoch(val) [6][ 620/6282] eta: 0:05:53 time: 0.0561 data_time: 0.0104 memory: 2396 2023/03/10 21:24:37 - mmengine - INFO - Epoch(val) [6][ 640/6282] eta: 0:05:49 time: 0.0475 data_time: 0.0029 memory: 2332 2023/03/10 21:24:38 - mmengine - INFO - Epoch(val) [6][ 660/6282] eta: 0:05:45 time: 0.0482 data_time: 0.0032 memory: 2332 2023/03/10 21:24:39 - mmengine - INFO - Epoch(val) [6][ 680/6282] eta: 0:05:42 time: 0.0493 data_time: 0.0037 memory: 2332 2023/03/10 21:24:40 - mmengine - INFO - Epoch(val) [6][ 700/6282] eta: 0:05:39 time: 0.0490 data_time: 0.0037 memory: 2332 2023/03/10 21:24:42 - mmengine - INFO - Epoch(val) [6][ 720/6282] eta: 0:05:41 time: 0.0819 data_time: 0.0242 memory: 2934 2023/03/10 21:24:44 - mmengine - INFO - Epoch(val) [6][ 740/6282] eta: 0:05:46 time: 0.1031 data_time: 0.0410 memory: 2934 2023/03/10 21:24:46 - mmengine - INFO - Epoch(val) [6][ 760/6282] eta: 0:05:49 time: 0.0920 data_time: 0.0305 memory: 2934 2023/03/10 21:24:48 - mmengine - INFO - Epoch(val) [6][ 780/6282] eta: 0:05:52 time: 0.0909 data_time: 0.0289 memory: 2934 2023/03/10 21:24:49 - mmengine - INFO - Epoch(val) [6][ 800/6282] eta: 0:05:54 time: 0.0886 data_time: 0.0262 memory: 2934 2023/03/10 21:24:51 - mmengine - INFO - Epoch(val) [6][ 820/6282] eta: 0:05:53 time: 0.0708 data_time: 0.0184 memory: 2934 2023/03/10 21:24:52 - mmengine - INFO - Epoch(val) [6][ 840/6282] eta: 0:05:51 time: 0.0610 data_time: 0.0139 memory: 2396 2023/03/10 21:24:53 - mmengine - INFO - Epoch(val) [6][ 860/6282] eta: 0:05:50 time: 0.0615 data_time: 0.0129 memory: 2396 2023/03/10 21:24:54 - mmengine - INFO - Epoch(val) [6][ 880/6282] eta: 0:05:48 time: 0.0591 data_time: 0.0132 memory: 2396 2023/03/10 21:24:56 - mmengine - INFO - Epoch(val) [6][ 900/6282] eta: 0:05:46 time: 0.0638 data_time: 0.0190 memory: 2396 2023/03/10 21:24:57 - mmengine - INFO - Epoch(val) [6][ 920/6282] eta: 0:05:45 time: 0.0605 data_time: 0.0156 memory: 2396 2023/03/10 21:24:58 - mmengine - INFO - Epoch(val) [6][ 940/6282] eta: 0:05:43 time: 0.0585 data_time: 0.0160 memory: 2331 2023/03/10 21:24:59 - mmengine - INFO - Epoch(val) [6][ 960/6282] eta: 0:05:42 time: 0.0666 data_time: 0.0224 memory: 2331 2023/03/10 21:25:01 - mmengine - INFO - Epoch(val) [6][ 980/6282] eta: 0:05:39 time: 0.0556 data_time: 0.0130 memory: 2331 2023/03/10 21:25:02 - mmengine - INFO - Epoch(val) [6][1000/6282] eta: 0:05:39 time: 0.0753 data_time: 0.0326 memory: 2331 2023/03/10 21:25:03 - mmengine - INFO - Epoch(val) [6][1020/6282] eta: 0:05:37 time: 0.0550 data_time: 0.0124 memory: 2396 2023/03/10 21:25:05 - mmengine - INFO - Epoch(val) [6][1040/6282] eta: 0:05:41 time: 0.1132 data_time: 0.0658 memory: 2396 2023/03/10 21:25:07 - mmengine - INFO - Epoch(val) [6][1060/6282] eta: 0:05:39 time: 0.0578 data_time: 0.0131 memory: 2396 2023/03/10 21:25:08 - mmengine - INFO - Epoch(val) [6][1080/6282] eta: 0:05:37 time: 0.0609 data_time: 0.0159 memory: 2396 2023/03/10 21:25:09 - mmengine - INFO - Epoch(val) [6][1100/6282] eta: 0:05:35 time: 0.0587 data_time: 0.0108 memory: 2396 2023/03/10 21:25:10 - mmengine - INFO - Epoch(val) [6][1120/6282] eta: 0:05:34 time: 0.0613 data_time: 0.0155 memory: 2396 2023/03/10 21:25:11 - mmengine - INFO - Epoch(val) [6][1140/6282] eta: 0:05:32 time: 0.0575 data_time: 0.0127 memory: 2396 2023/03/10 21:25:13 - mmengine - INFO - Epoch(val) [6][1160/6282] eta: 0:05:30 time: 0.0625 data_time: 0.0164 memory: 2396 2023/03/10 21:25:14 - mmengine - INFO - Epoch(val) [6][1180/6282] eta: 0:05:28 time: 0.0491 data_time: 0.0025 memory: 2396 2023/03/10 21:25:15 - mmengine - INFO - Epoch(val) [6][1200/6282] eta: 0:05:25 time: 0.0511 data_time: 0.0033 memory: 2396 2023/03/10 21:25:16 - mmengine - INFO - Epoch(val) [6][1220/6282] eta: 0:05:23 time: 0.0503 data_time: 0.0031 memory: 2396 2023/03/10 21:25:17 - mmengine - INFO - Epoch(val) [6][1240/6282] eta: 0:05:23 time: 0.0892 data_time: 0.0288 memory: 2934 2023/03/10 21:25:19 - mmengine - INFO - Epoch(val) [6][1260/6282] eta: 0:05:25 time: 0.0941 data_time: 0.0328 memory: 2934 2023/03/10 21:25:21 - mmengine - INFO - Epoch(val) [6][1280/6282] eta: 0:05:27 time: 0.1064 data_time: 0.0448 memory: 2934 2023/03/10 21:25:23 - mmengine - INFO - Epoch(val) [6][1300/6282] eta: 0:05:27 time: 0.0882 data_time: 0.0269 memory: 2934 2023/03/10 21:25:25 - mmengine - INFO - Epoch(val) [6][1320/6282] eta: 0:05:28 time: 0.0991 data_time: 0.0362 memory: 2934 2023/03/10 21:25:27 - mmengine - INFO - Epoch(val) [6][1340/6282] eta: 0:05:28 time: 0.0869 data_time: 0.0264 memory: 2934 2023/03/10 21:25:29 - mmengine - INFO - Epoch(val) [6][1360/6282] eta: 0:05:30 time: 0.1041 data_time: 0.0433 memory: 2934 2023/03/10 21:25:31 - mmengine - INFO - Epoch(val) [6][1380/6282] eta: 0:05:30 time: 0.0838 data_time: 0.0235 memory: 2934 2023/03/10 21:25:33 - mmengine - INFO - Epoch(val) [6][1400/6282] eta: 0:05:31 time: 0.1050 data_time: 0.0431 memory: 2934 2023/03/10 21:25:34 - mmengine - INFO - Epoch(val) [6][1420/6282] eta: 0:05:30 time: 0.0795 data_time: 0.0197 memory: 2934 2023/03/10 21:25:36 - mmengine - INFO - Epoch(val) [6][1440/6282] eta: 0:05:29 time: 0.0671 data_time: 0.0063 memory: 2934 2023/03/10 21:25:37 - mmengine - INFO - Epoch(val) [6][1460/6282] eta: 0:05:27 time: 0.0638 data_time: 0.0024 memory: 2934 2023/03/10 21:25:38 - mmengine - INFO - Epoch(val) [6][1480/6282] eta: 0:05:25 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/10 21:25:39 - mmengine - INFO - Epoch(val) [6][1500/6282] eta: 0:05:24 time: 0.0616 data_time: 0.0022 memory: 2934 2023/03/10 21:25:41 - mmengine - INFO - Epoch(val) [6][1520/6282] eta: 0:05:22 time: 0.0631 data_time: 0.0024 memory: 3958 2023/03/10 21:25:42 - mmengine - INFO - Epoch(val) [6][1540/6282] eta: 0:05:22 time: 0.0861 data_time: 0.0026 memory: 3958 2023/03/10 21:25:44 - mmengine - INFO - Epoch(val) [6][1560/6282] eta: 0:05:22 time: 0.0862 data_time: 0.0027 memory: 3958 2023/03/10 21:25:46 - mmengine - INFO - Epoch(val) [6][1580/6282] eta: 0:05:21 time: 0.0860 data_time: 0.0027 memory: 3958 2023/03/10 21:25:48 - mmengine - INFO - Epoch(val) [6][1600/6282] eta: 0:05:21 time: 0.0858 data_time: 0.0026 memory: 3958 2023/03/10 21:25:49 - mmengine - INFO - Epoch(val) [6][1620/6282] eta: 0:05:21 time: 0.0859 data_time: 0.0026 memory: 3958 2023/03/10 21:25:51 - mmengine - INFO - Epoch(val) [6][1640/6282] eta: 0:05:19 time: 0.0623 data_time: 0.0023 memory: 2934 2023/03/10 21:25:52 - mmengine - INFO - Epoch(val) [6][1660/6282] eta: 0:05:17 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/10 21:25:53 - mmengine - INFO - Epoch(val) [6][1680/6282] eta: 0:05:15 time: 0.0636 data_time: 0.0024 memory: 2934 2023/03/10 21:25:54 - mmengine - INFO - Epoch(val) [6][1700/6282] eta: 0:05:14 time: 0.0642 data_time: 0.0024 memory: 2934 2023/03/10 21:25:56 - mmengine - INFO - Epoch(val) [6][1720/6282] eta: 0:05:12 time: 0.0629 data_time: 0.0023 memory: 2934 2023/03/10 21:25:57 - mmengine - INFO - Epoch(val) [6][1740/6282] eta: 0:05:10 time: 0.0618 data_time: 0.0024 memory: 2934 2023/03/10 21:25:58 - mmengine - INFO - Epoch(val) [6][1760/6282] eta: 0:05:09 time: 0.0614 data_time: 0.0022 memory: 2934 2023/03/10 21:25:59 - mmengine - INFO - Epoch(val) [6][1780/6282] eta: 0:05:07 time: 0.0629 data_time: 0.0027 memory: 2934 2023/03/10 21:26:01 - mmengine - INFO - Epoch(val) [6][1800/6282] eta: 0:05:06 time: 0.0663 data_time: 0.0039 memory: 2934 2023/03/10 21:26:02 - mmengine - INFO - Epoch(val) [6][1820/6282] eta: 0:05:04 time: 0.0671 data_time: 0.0041 memory: 2934 2023/03/10 21:26:03 - mmengine - INFO - Epoch(val) [6][1840/6282] eta: 0:05:03 time: 0.0669 data_time: 0.0040 memory: 2934 2023/03/10 21:26:05 - mmengine - INFO - Epoch(val) [6][1860/6282] eta: 0:05:02 time: 0.0897 data_time: 0.0274 memory: 2934 2023/03/10 21:26:07 - mmengine - INFO - Epoch(val) [6][1880/6282] eta: 0:05:02 time: 0.0925 data_time: 0.0303 memory: 2934 2023/03/10 21:26:09 - mmengine - INFO - Epoch(val) [6][1900/6282] eta: 0:05:02 time: 0.0903 data_time: 0.0301 memory: 2934 2023/03/10 21:26:11 - mmengine - INFO - Epoch(val) [6][1920/6282] eta: 0:05:01 time: 0.0864 data_time: 0.0267 memory: 2934 2023/03/10 21:26:12 - mmengine - INFO - Epoch(val) [6][1940/6282] eta: 0:05:01 time: 0.0912 data_time: 0.0339 memory: 2934 2023/03/10 21:26:14 - mmengine - INFO - Epoch(val) [6][1960/6282] eta: 0:04:59 time: 0.0587 data_time: 0.0121 memory: 2397 2023/03/10 21:26:15 - mmengine - INFO - Epoch(val) [6][1980/6282] eta: 0:04:57 time: 0.0594 data_time: 0.0147 memory: 2397 2023/03/10 21:26:16 - mmengine - INFO - Epoch(val) [6][2000/6282] eta: 0:04:55 time: 0.0564 data_time: 0.0092 memory: 2397 2023/03/10 21:26:17 - mmengine - INFO - Epoch(val) [6][2020/6282] eta: 0:04:53 time: 0.0611 data_time: 0.0162 memory: 2397 2023/03/10 21:26:18 - mmengine - INFO - Epoch(val) [6][2040/6282] eta: 0:04:51 time: 0.0545 data_time: 0.0071 memory: 2397 2023/03/10 21:26:20 - mmengine - INFO - Epoch(val) [6][2060/6282] eta: 0:04:50 time: 0.0631 data_time: 0.0160 memory: 2397 2023/03/10 21:26:21 - mmengine - INFO - Epoch(val) [6][2080/6282] eta: 0:04:48 time: 0.0582 data_time: 0.0111 memory: 2397 2023/03/10 21:26:22 - mmengine - INFO - Epoch(val) [6][2100/6282] eta: 0:04:46 time: 0.0635 data_time: 0.0169 memory: 2397 2023/03/10 21:26:23 - mmengine - INFO - Epoch(val) [6][2120/6282] eta: 0:04:45 time: 0.0560 data_time: 0.0112 memory: 2397 2023/03/10 21:26:24 - mmengine - INFO - Epoch(val) [6][2140/6282] eta: 0:04:43 time: 0.0618 data_time: 0.0169 memory: 2397 2023/03/10 21:26:26 - mmengine - INFO - Epoch(val) [6][2160/6282] eta: 0:04:41 time: 0.0569 data_time: 0.0114 memory: 2396 2023/03/10 21:26:27 - mmengine - INFO - Epoch(val) [6][2180/6282] eta: 0:04:40 time: 0.0630 data_time: 0.0165 memory: 2396 2023/03/10 21:26:28 - mmengine - INFO - Epoch(val) [6][2200/6282] eta: 0:04:38 time: 0.0563 data_time: 0.0106 memory: 2396 2023/03/10 21:26:29 - mmengine - INFO - Epoch(val) [6][2220/6282] eta: 0:04:36 time: 0.0639 data_time: 0.0188 memory: 2396 2023/03/10 21:26:30 - mmengine - INFO - Epoch(val) [6][2240/6282] eta: 0:04:35 time: 0.0577 data_time: 0.0128 memory: 2396 2023/03/10 21:26:32 - mmengine - INFO - Epoch(val) [6][2260/6282] eta: 0:04:33 time: 0.0699 data_time: 0.0243 memory: 2397 2023/03/10 21:26:33 - mmengine - INFO - Epoch(val) [6][2280/6282] eta: 0:04:31 time: 0.0578 data_time: 0.0130 memory: 2397 2023/03/10 21:26:34 - mmengine - INFO - Epoch(val) [6][2300/6282] eta: 0:04:30 time: 0.0658 data_time: 0.0185 memory: 2397 2023/03/10 21:26:35 - mmengine - INFO - Epoch(val) [6][2320/6282] eta: 0:04:28 time: 0.0590 data_time: 0.0124 memory: 2397 2023/03/10 21:26:37 - mmengine - INFO - Epoch(val) [6][2340/6282] eta: 0:04:27 time: 0.0600 data_time: 0.0132 memory: 2397 2023/03/10 21:26:38 - mmengine - INFO - Epoch(val) [6][2360/6282] eta: 0:04:25 time: 0.0558 data_time: 0.0109 memory: 2396 2023/03/10 21:26:39 - mmengine - INFO - Epoch(val) [6][2380/6282] eta: 0:04:23 time: 0.0574 data_time: 0.0121 memory: 2396 2023/03/10 21:26:40 - mmengine - INFO - Epoch(val) [6][2400/6282] eta: 0:04:21 time: 0.0488 data_time: 0.0021 memory: 2396 2023/03/10 21:26:41 - mmengine - INFO - Epoch(val) [6][2420/6282] eta: 0:04:19 time: 0.0500 data_time: 0.0025 memory: 2396 2023/03/10 21:26:42 - mmengine - INFO - Epoch(val) [6][2440/6282] eta: 0:04:18 time: 0.0527 data_time: 0.0023 memory: 2396 2023/03/10 21:26:43 - mmengine - INFO - Epoch(val) [6][2460/6282] eta: 0:04:16 time: 0.0636 data_time: 0.0029 memory: 2934 2023/03/10 21:26:45 - mmengine - INFO - Epoch(val) [6][2480/6282] eta: 0:04:15 time: 0.0658 data_time: 0.0031 memory: 2934 2023/03/10 21:26:46 - mmengine - INFO - Epoch(val) [6][2500/6282] eta: 0:04:13 time: 0.0655 data_time: 0.0036 memory: 2934 2023/03/10 21:26:47 - mmengine - INFO - Epoch(val) [6][2520/6282] eta: 0:04:12 time: 0.0653 data_time: 0.0042 memory: 2934 2023/03/10 21:26:48 - mmengine - INFO - Epoch(val) [6][2540/6282] eta: 0:04:11 time: 0.0645 data_time: 0.0038 memory: 2934 2023/03/10 21:26:50 - mmengine - INFO - Epoch(val) [6][2560/6282] eta: 0:04:10 time: 0.0839 data_time: 0.0226 memory: 2934 2023/03/10 21:26:52 - mmengine - INFO - Epoch(val) [6][2580/6282] eta: 0:04:10 time: 0.1125 data_time: 0.0506 memory: 2934 2023/03/10 21:26:54 - mmengine - INFO - Epoch(val) [6][2600/6282] eta: 0:04:09 time: 0.0944 data_time: 0.0326 memory: 2934 2023/03/10 21:26:56 - mmengine - INFO - Epoch(val) [6][2620/6282] eta: 0:04:08 time: 0.0835 data_time: 0.0212 memory: 2934 2023/03/10 21:26:57 - mmengine - INFO - Epoch(val) [6][2640/6282] eta: 0:04:07 time: 0.0629 data_time: 0.0027 memory: 2934 2023/03/10 21:26:59 - mmengine - INFO - Epoch(val) [6][2660/6282] eta: 0:04:06 time: 0.0838 data_time: 0.0025 memory: 3842 2023/03/10 21:27:01 - mmengine - INFO - Epoch(val) [6][2680/6282] eta: 0:04:05 time: 0.0840 data_time: 0.0027 memory: 3842 2023/03/10 21:27:02 - mmengine - INFO - Epoch(val) [6][2700/6282] eta: 0:04:04 time: 0.0840 data_time: 0.0027 memory: 3842 2023/03/10 21:27:04 - mmengine - INFO - Epoch(val) [6][2720/6282] eta: 0:04:03 time: 0.0838 data_time: 0.0025 memory: 3842 2023/03/10 21:27:06 - mmengine - INFO - Epoch(val) [6][2740/6282] eta: 0:04:02 time: 0.0788 data_time: 0.0025 memory: 3842 2023/03/10 21:27:07 - mmengine - INFO - Epoch(val) [6][2760/6282] eta: 0:04:00 time: 0.0485 data_time: 0.0021 memory: 2397 2023/03/10 21:27:07 - mmengine - INFO - Epoch(val) [6][2780/6282] eta: 0:03:58 time: 0.0492 data_time: 0.0020 memory: 2397 2023/03/10 21:27:09 - mmengine - INFO - Epoch(val) [6][2800/6282] eta: 0:03:57 time: 0.0595 data_time: 0.0114 memory: 2397 2023/03/10 21:27:10 - mmengine - INFO - Epoch(val) [6][2820/6282] eta: 0:03:55 time: 0.0539 data_time: 0.0049 memory: 2397 2023/03/10 21:27:11 - mmengine - INFO - Epoch(val) [6][2840/6282] eta: 0:03:53 time: 0.0480 data_time: 0.0024 memory: 2397 2023/03/10 21:27:12 - mmengine - INFO - Epoch(val) [6][2860/6282] eta: 0:03:52 time: 0.0767 data_time: 0.0204 memory: 2934 2023/03/10 21:27:14 - mmengine - INFO - Epoch(val) [6][2880/6282] eta: 0:03:51 time: 0.0691 data_time: 0.0073 memory: 2934 2023/03/10 21:27:15 - mmengine - INFO - Epoch(val) [6][2900/6282] eta: 0:03:49 time: 0.0739 data_time: 0.0100 memory: 2934 2023/03/10 21:27:16 - mmengine - INFO - Epoch(val) [6][2920/6282] eta: 0:03:48 time: 0.0606 data_time: 0.0090 memory: 2934 2023/03/10 21:27:17 - mmengine - INFO - Epoch(val) [6][2940/6282] eta: 0:03:46 time: 0.0561 data_time: 0.0070 memory: 2609 2023/03/10 21:27:19 - mmengine - INFO - Epoch(val) [6][2960/6282] eta: 0:03:45 time: 0.0622 data_time: 0.0093 memory: 2609 2023/03/10 21:27:20 - mmengine - INFO - Epoch(val) [6][2980/6282] eta: 0:03:43 time: 0.0574 data_time: 0.0066 memory: 2609 2023/03/10 21:27:21 - mmengine - INFO - Epoch(val) [6][3000/6282] eta: 0:03:42 time: 0.0587 data_time: 0.0094 memory: 2609 2023/03/10 21:27:22 - mmengine - INFO - Epoch(val) [6][3020/6282] eta: 0:03:40 time: 0.0696 data_time: 0.0078 memory: 2934 2023/03/10 21:27:24 - mmengine - INFO - Epoch(val) [6][3040/6282] eta: 0:03:39 time: 0.0637 data_time: 0.0020 memory: 2934 2023/03/10 21:27:25 - mmengine - INFO - Epoch(val) [6][3060/6282] eta: 0:03:37 time: 0.0623 data_time: 0.0026 memory: 2934 2023/03/10 21:27:26 - mmengine - INFO - Epoch(val) [6][3080/6282] eta: 0:03:36 time: 0.0640 data_time: 0.0023 memory: 2934 2023/03/10 21:27:27 - mmengine - INFO - Epoch(val) [6][3100/6282] eta: 0:03:34 time: 0.0567 data_time: 0.0022 memory: 2934 2023/03/10 21:27:28 - mmengine - INFO - Epoch(val) [6][3120/6282] eta: 0:03:33 time: 0.0482 data_time: 0.0022 memory: 2397 2023/03/10 21:27:30 - mmengine - INFO - Epoch(val) [6][3140/6282] eta: 0:03:31 time: 0.0563 data_time: 0.0092 memory: 2397 2023/03/10 21:27:31 - mmengine - INFO - Epoch(val) [6][3160/6282] eta: 0:03:29 time: 0.0496 data_time: 0.0025 memory: 2397 2023/03/10 21:27:32 - mmengine - INFO - Epoch(val) [6][3180/6282] eta: 0:03:28 time: 0.0507 data_time: 0.0037 memory: 2397 2023/03/10 21:27:33 - mmengine - INFO - Epoch(val) [6][3200/6282] eta: 0:03:26 time: 0.0776 data_time: 0.0220 memory: 2934 2023/03/10 21:27:34 - mmengine - INFO - Epoch(val) [6][3220/6282] eta: 0:03:25 time: 0.0681 data_time: 0.0061 memory: 2934 2023/03/10 21:27:36 - mmengine - INFO - Epoch(val) [6][3240/6282] eta: 0:03:24 time: 0.0669 data_time: 0.0046 memory: 2934 2023/03/10 21:27:37 - mmengine - INFO - Epoch(val) [6][3260/6282] eta: 0:03:22 time: 0.0672 data_time: 0.0067 memory: 2934 2023/03/10 21:27:38 - mmengine - INFO - Epoch(val) [6][3280/6282] eta: 0:03:21 time: 0.0642 data_time: 0.0028 memory: 2934 2023/03/10 21:27:40 - mmengine - INFO - Epoch(val) [6][3300/6282] eta: 0:03:20 time: 0.0641 data_time: 0.0024 memory: 2934 2023/03/10 21:27:41 - mmengine - INFO - Epoch(val) [6][3320/6282] eta: 0:03:18 time: 0.0672 data_time: 0.0025 memory: 2934 2023/03/10 21:27:42 - mmengine - INFO - Epoch(val) 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eta: 0:03:05 time: 0.0568 data_time: 0.0113 memory: 2396 2023/03/10 21:27:53 - mmengine - INFO - Epoch(val) [6][3520/6282] eta: 0:03:04 time: 0.0694 data_time: 0.0247 memory: 2396 2023/03/10 21:27:54 - mmengine - INFO - Epoch(val) [6][3540/6282] eta: 0:03:02 time: 0.0598 data_time: 0.0147 memory: 2396 2023/03/10 21:27:55 - mmengine - INFO - Epoch(val) [6][3560/6282] eta: 0:03:01 time: 0.0596 data_time: 0.0128 memory: 2396 2023/03/10 21:27:57 - mmengine - INFO - Epoch(val) [6][3580/6282] eta: 0:02:59 time: 0.0587 data_time: 0.0095 memory: 2765 2023/03/10 21:27:58 - mmengine - INFO - Epoch(val) [6][3600/6282] eta: 0:02:58 time: 0.0582 data_time: 0.0026 memory: 2765 2023/03/10 21:27:59 - mmengine - INFO - Epoch(val) [6][3620/6282] eta: 0:02:56 time: 0.0606 data_time: 0.0059 memory: 2765 2023/03/10 21:28:00 - mmengine - INFO - Epoch(val) [6][3640/6282] eta: 0:02:55 time: 0.0575 data_time: 0.0023 memory: 2765 2023/03/10 21:28:01 - mmengine - INFO - Epoch(val) [6][3660/6282] eta: 0:02:54 time: 0.0581 data_time: 0.0027 memory: 2765 2023/03/10 21:28:02 - mmengine - INFO - Epoch(val) [6][3680/6282] eta: 0:02:52 time: 0.0613 data_time: 0.0035 memory: 2934 2023/03/10 21:28:04 - mmengine - INFO - Epoch(val) [6][3700/6282] eta: 0:02:51 time: 0.0665 data_time: 0.0030 memory: 2934 2023/03/10 21:28:05 - mmengine - INFO - Epoch(val) [6][3720/6282] eta: 0:02:49 time: 0.0644 data_time: 0.0036 memory: 2934 2023/03/10 21:28:06 - mmengine - INFO - Epoch(val) [6][3740/6282] eta: 0:02:48 time: 0.0650 data_time: 0.0028 memory: 2934 2023/03/10 21:28:08 - mmengine - INFO - Epoch(val) [6][3760/6282] eta: 0:02:47 time: 0.0651 data_time: 0.0031 memory: 2934 2023/03/10 21:28:09 - mmengine - INFO - Epoch(val) [6][3780/6282] eta: 0:02:45 time: 0.0631 data_time: 0.0028 memory: 2934 2023/03/10 21:28:10 - mmengine - INFO - Epoch(val) [6][3800/6282] eta: 0:02:44 time: 0.0631 data_time: 0.0028 memory: 2934 2023/03/10 21:28:12 - mmengine - INFO - Epoch(val) [6][3820/6282] eta: 0:02:43 time: 0.0636 data_time: 0.0030 memory: 2934 2023/03/10 21:28:13 - mmengine - INFO - Epoch(val) [6][3840/6282] eta: 0:02:41 time: 0.0629 data_time: 0.0028 memory: 2934 2023/03/10 21:28:14 - mmengine - INFO - Epoch(val) [6][3860/6282] eta: 0:02:40 time: 0.0646 data_time: 0.0030 memory: 2934 2023/03/10 21:28:15 - mmengine - INFO - Epoch(val) [6][3880/6282] eta: 0:02:39 time: 0.0685 data_time: 0.0072 memory: 2934 2023/03/10 21:28:17 - mmengine - INFO - Epoch(val) [6][3900/6282] eta: 0:02:37 time: 0.0629 data_time: 0.0028 memory: 2934 2023/03/10 21:28:18 - mmengine - INFO - Epoch(val) [6][3920/6282] eta: 0:02:36 time: 0.0634 data_time: 0.0026 memory: 2934 2023/03/10 21:28:19 - mmengine - INFO - Epoch(val) [6][3940/6282] eta: 0:02:35 time: 0.0636 data_time: 0.0026 memory: 2934 2023/03/10 21:28:21 - mmengine - INFO - Epoch(val) [6][3960/6282] eta: 0:02:33 time: 0.0628 data_time: 0.0024 memory: 2934 2023/03/10 21:28:22 - mmengine - INFO - Epoch(val) [6][3980/6282] eta: 0:02:32 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/10 21:28:23 - mmengine - INFO - Epoch(val) [6][4000/6282] eta: 0:02:30 time: 0.0616 data_time: 0.0022 memory: 2934 2023/03/10 21:28:24 - mmengine - INFO - Epoch(val) [6][4020/6282] eta: 0:02:29 time: 0.0612 data_time: 0.0021 memory: 2934 2023/03/10 21:28:26 - mmengine - INFO - Epoch(val) [6][4040/6282] eta: 0:02:28 time: 0.0647 data_time: 0.0022 memory: 3842 2023/03/10 21:28:27 - mmengine - INFO - Epoch(val) [6][4060/6282] eta: 0:02:27 time: 0.0835 data_time: 0.0023 memory: 3842 2023/03/10 21:28:29 - mmengine - INFO - Epoch(val) [6][4080/6282] eta: 0:02:26 time: 0.0844 data_time: 0.0026 memory: 3842 2023/03/10 21:28:31 - mmengine - INFO - Epoch(val) [6][4100/6282] eta: 0:02:24 time: 0.0839 data_time: 0.0027 memory: 3842 2023/03/10 21:28:32 - mmengine - INFO - Epoch(val) [6][4120/6282] eta: 0:02:23 time: 0.0857 data_time: 0.0024 memory: 3842 2023/03/10 21:28:34 - mmengine - INFO - Epoch(val) [6][4140/6282] eta: 0:02:22 time: 0.0699 data_time: 0.0024 memory: 3842 2023/03/10 21:28:35 - mmengine - INFO - Epoch(val) [6][4160/6282] eta: 0:02:20 time: 0.0478 data_time: 0.0021 memory: 2396 2023/03/10 21:28:36 - mmengine - INFO - Epoch(val) [6][4180/6282] eta: 0:02:19 time: 0.0505 data_time: 0.0028 memory: 2396 2023/03/10 21:28:37 - mmengine - INFO - Epoch(val) [6][4200/6282] eta: 0:02:18 time: 0.0614 data_time: 0.0158 memory: 2396 2023/03/10 21:28:38 - mmengine - INFO - Epoch(val) [6][4220/6282] eta: 0:02:16 time: 0.0577 data_time: 0.0109 memory: 2396 2023/03/10 21:28:39 - mmengine - INFO - Epoch(val) [6][4240/6282] eta: 0:02:15 time: 0.0646 data_time: 0.0184 memory: 2396 2023/03/10 21:28:40 - mmengine - INFO - Epoch(val) [6][4260/6282] eta: 0:02:13 time: 0.0567 data_time: 0.0087 memory: 2396 2023/03/10 21:28:42 - mmengine - INFO - Epoch(val) [6][4280/6282] eta: 0:02:12 time: 0.0622 data_time: 0.0168 memory: 2396 2023/03/10 21:28:43 - mmengine - INFO - Epoch(val) [6][4300/6282] eta: 0:02:11 time: 0.0568 data_time: 0.0093 memory: 2396 2023/03/10 21:28:44 - mmengine - INFO - Epoch(val) [6][4320/6282] eta: 0:02:09 time: 0.0595 data_time: 0.0146 memory: 2396 2023/03/10 21:28:45 - mmengine - INFO - Epoch(val) [6][4340/6282] eta: 0:02:08 time: 0.0586 data_time: 0.0119 memory: 2396 2023/03/10 21:28:47 - mmengine - INFO - Epoch(val) [6][4360/6282] eta: 0:02:07 time: 0.0652 data_time: 0.0052 memory: 2934 2023/03/10 21:28:48 - mmengine - INFO - Epoch(val) [6][4380/6282] eta: 0:02:05 time: 0.0659 data_time: 0.0021 memory: 2934 2023/03/10 21:28:49 - mmengine - INFO - Epoch(val) [6][4400/6282] eta: 0:02:04 time: 0.0627 data_time: 0.0023 memory: 2934 2023/03/10 21:28:50 - mmengine - INFO - Epoch(val) [6][4420/6282] eta: 0:02:02 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/10 21:28:52 - mmengine - INFO - Epoch(val) [6][4440/6282] eta: 0:02:01 time: 0.0631 data_time: 0.0023 memory: 3023 2023/03/10 21:28:53 - mmengine - INFO - Epoch(val) [6][4460/6282] eta: 0:02:00 time: 0.0641 data_time: 0.0022 memory: 3023 2023/03/10 21:28:54 - mmengine - INFO - Epoch(val) [6][4480/6282] eta: 0:01:58 time: 0.0646 data_time: 0.0025 memory: 3023 2023/03/10 21:28:56 - mmengine - INFO - Epoch(val) [6][4500/6282] eta: 0:01:57 time: 0.0649 data_time: 0.0028 memory: 3023 2023/03/10 21:28:57 - mmengine - INFO - Epoch(val) [6][4520/6282] eta: 0:01:56 time: 0.0630 data_time: 0.0021 memory: 3023 2023/03/10 21:28:58 - mmengine - INFO - Epoch(val) [6][4540/6282] eta: 0:01:54 time: 0.0499 data_time: 0.0022 memory: 2464 2023/03/10 21:28:59 - mmengine - INFO - Epoch(val) [6][4560/6282] eta: 0:01:53 time: 0.0486 data_time: 0.0020 memory: 2464 2023/03/10 21:29:00 - mmengine - INFO - Epoch(val) [6][4580/6282] eta: 0:01:52 time: 0.0601 data_time: 0.0141 memory: 2464 2023/03/10 21:29:01 - mmengine - INFO - Epoch(val) [6][4600/6282] eta: 0:01:50 time: 0.0567 data_time: 0.0095 memory: 2464 2023/03/10 21:29:02 - mmengine - INFO - Epoch(val) [6][4620/6282] eta: 0:01:49 time: 0.0602 data_time: 0.0142 memory: 2464 2023/03/10 21:29:04 - mmengine - INFO - Epoch(val) [6][4640/6282] eta: 0:01:48 time: 0.0702 data_time: 0.0040 memory: 3023 2023/03/10 21:29:05 - mmengine - INFO - Epoch(val) [6][4660/6282] eta: 0:01:46 time: 0.0666 data_time: 0.0025 memory: 3023 2023/03/10 21:29:06 - mmengine - INFO - Epoch(val) [6][4680/6282] eta: 0:01:45 time: 0.0642 data_time: 0.0023 memory: 3023 2023/03/10 21:29:08 - mmengine - INFO - Epoch(val) [6][4700/6282] eta: 0:01:44 time: 0.0640 data_time: 0.0022 memory: 3023 2023/03/10 21:29:09 - mmengine - INFO - Epoch(val) [6][4720/6282] eta: 0:01:42 time: 0.0646 data_time: 0.0022 memory: 3023 2023/03/10 21:29:10 - mmengine - INFO - Epoch(val) [6][4740/6282] eta: 0:01:41 time: 0.0516 data_time: 0.0023 memory: 2609 2023/03/10 21:29:11 - mmengine - INFO - Epoch(val) [6][4760/6282] eta: 0:01:39 time: 0.0535 data_time: 0.0022 memory: 2609 2023/03/10 21:29:12 - mmengine - INFO - Epoch(val) [6][4780/6282] eta: 0:01:38 time: 0.0569 data_time: 0.0077 memory: 2609 2023/03/10 21:29:13 - mmengine - INFO - Epoch(val) [6][4800/6282] eta: 0:01:37 time: 0.0618 data_time: 0.0098 memory: 2609 2023/03/10 21:29:15 - mmengine - INFO - Epoch(val) [6][4820/6282] eta: 0:01:35 time: 0.0600 data_time: 0.0054 memory: 2934 2023/03/10 21:29:16 - mmengine - INFO - Epoch(val) [6][4840/6282] eta: 0:01:34 time: 0.0641 data_time: 0.0025 memory: 2934 2023/03/10 21:29:17 - mmengine - INFO - Epoch(val) [6][4860/6282] eta: 0:01:33 time: 0.0642 data_time: 0.0024 memory: 2934 2023/03/10 21:29:18 - mmengine - INFO - Epoch(val) [6][4880/6282] eta: 0:01:31 time: 0.0634 data_time: 0.0024 memory: 2934 2023/03/10 21:29:20 - mmengine - INFO - Epoch(val) [6][4900/6282] eta: 0:01:30 time: 0.0639 data_time: 0.0024 memory: 2934 2023/03/10 21:29:21 - mmengine - INFO - Epoch(val) [6][4920/6282] eta: 0:01:29 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/10 21:29:22 - mmengine - INFO - Epoch(val) [6][4940/6282] eta: 0:01:27 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 21:29:23 - mmengine - INFO - Epoch(val) [6][4960/6282] eta: 0:01:26 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/10 21:29:25 - mmengine - INFO - Epoch(val) [6][4980/6282] eta: 0:01:25 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/10 21:29:26 - mmengine - INFO - Epoch(val) [6][5000/6282] eta: 0:01:23 time: 0.0635 data_time: 0.0023 memory: 2934 2023/03/10 21:29:27 - mmengine - INFO - Epoch(val) [6][5020/6282] eta: 0:01:22 time: 0.0563 data_time: 0.0023 memory: 2934 2023/03/10 21:29:28 - mmengine - INFO - Epoch(val) [6][5040/6282] eta: 0:01:21 time: 0.0492 data_time: 0.0022 memory: 2397 2023/03/10 21:29:29 - mmengine - INFO - Epoch(val) [6][5060/6282] eta: 0:01:19 time: 0.0516 data_time: 0.0061 memory: 2397 2023/03/10 21:29:30 - mmengine - INFO - Epoch(val) [6][5080/6282] eta: 0:01:18 time: 0.0594 data_time: 0.0115 memory: 2397 2023/03/10 21:29:32 - mmengine - INFO - Epoch(val) [6][5100/6282] eta: 0:01:17 time: 0.0606 data_time: 0.0140 memory: 2397 2023/03/10 21:29:33 - mmengine - INFO - Epoch(val) [6][5120/6282] eta: 0:01:15 time: 0.0827 data_time: 0.0361 memory: 2397 2023/03/10 21:29:34 - mmengine - INFO - Epoch(val) [6][5140/6282] eta: 0:01:14 time: 0.0638 data_time: 0.0172 memory: 2396 2023/03/10 21:29:36 - mmengine - INFO - Epoch(val) [6][5160/6282] eta: 0:01:13 time: 0.0546 data_time: 0.0098 memory: 2396 2023/03/10 21:29:37 - mmengine - INFO - Epoch(val) [6][5180/6282] eta: 0:01:11 time: 0.0604 data_time: 0.0145 memory: 2396 2023/03/10 21:29:38 - mmengine - INFO - Epoch(val) [6][5200/6282] eta: 0:01:10 time: 0.0580 data_time: 0.0132 memory: 2396 2023/03/10 21:29:39 - mmengine - INFO - Epoch(val) [6][5220/6282] eta: 0:01:09 time: 0.0627 data_time: 0.0178 memory: 2396 2023/03/10 21:29:40 - mmengine - INFO - Epoch(val) [6][5240/6282] eta: 0:01:07 time: 0.0560 data_time: 0.0102 memory: 2396 2023/03/10 21:29:42 - mmengine - INFO - Epoch(val) [6][5260/6282] eta: 0:01:06 time: 0.0598 data_time: 0.0143 memory: 2396 2023/03/10 21:29:43 - mmengine - INFO - Epoch(val) [6][5280/6282] eta: 0:01:05 time: 0.0577 data_time: 0.0114 memory: 2396 2023/03/10 21:29:44 - mmengine - INFO - Epoch(val) [6][5300/6282] eta: 0:01:03 time: 0.0614 data_time: 0.0152 memory: 2396 2023/03/10 21:29:45 - mmengine - INFO - Epoch(val) [6][5320/6282] eta: 0:01:02 time: 0.0602 data_time: 0.0146 memory: 2396 2023/03/10 21:29:46 - mmengine - INFO - Epoch(val) [6][5340/6282] eta: 0:01:01 time: 0.0605 data_time: 0.0135 memory: 2396 2023/03/10 21:29:47 - mmengine - INFO - Epoch(val) [6][5360/6282] eta: 0:01:00 time: 0.0567 data_time: 0.0118 memory: 2396 2023/03/10 21:29:49 - mmengine - INFO - Epoch(val) [6][5380/6282] eta: 0:00:58 time: 0.0653 data_time: 0.0204 memory: 2396 2023/03/10 21:29:50 - mmengine - INFO - Epoch(val) [6][5400/6282] eta: 0:00:57 time: 0.0595 data_time: 0.0146 memory: 2396 2023/03/10 21:29:51 - mmengine - INFO - Epoch(val) [6][5420/6282] eta: 0:00:56 time: 0.0589 data_time: 0.0138 memory: 2396 2023/03/10 21:29:53 - mmengine - INFO - Epoch(val) [6][5440/6282] eta: 0:00:54 time: 0.0731 data_time: 0.0283 memory: 2396 2023/03/10 21:29:54 - mmengine - INFO - Epoch(val) [6][5460/6282] eta: 0:00:53 time: 0.0633 data_time: 0.0180 memory: 2396 2023/03/10 21:29:55 - mmengine - INFO - Epoch(val) [6][5480/6282] eta: 0:00:52 time: 0.0587 data_time: 0.0136 memory: 2396 2023/03/10 21:29:56 - mmengine - INFO - Epoch(val) [6][5500/6282] eta: 0:00:50 time: 0.0591 data_time: 0.0132 memory: 2396 2023/03/10 21:29:57 - mmengine - INFO - Epoch(val) [6][5520/6282] eta: 0:00:49 time: 0.0602 data_time: 0.0118 memory: 2608 2023/03/10 21:29:59 - mmengine - INFO - Epoch(val) [6][5540/6282] eta: 0:00:48 time: 0.0636 data_time: 0.0131 memory: 2608 2023/03/10 21:30:00 - mmengine - INFO - Epoch(val) [6][5560/6282] eta: 0:00:46 time: 0.0611 data_time: 0.0084 memory: 2608 2023/03/10 21:30:01 - mmengine - INFO - Epoch(val) [6][5580/6282] eta: 0:00:45 time: 0.0596 data_time: 0.0089 memory: 2608 2023/03/10 21:30:02 - mmengine - INFO - Epoch(val) [6][5600/6282] eta: 0:00:44 time: 0.0615 data_time: 0.0123 memory: 2608 2023/03/10 21:30:04 - mmengine - INFO - Epoch(val) [6][5620/6282] eta: 0:00:42 time: 0.0621 data_time: 0.0146 memory: 2608 2023/03/10 21:30:05 - mmengine - INFO - Epoch(val) [6][5640/6282] eta: 0:00:41 time: 0.0574 data_time: 0.0110 memory: 2396 2023/03/10 21:30:06 - mmengine - INFO - Epoch(val) [6][5660/6282] eta: 0:00:40 time: 0.0565 data_time: 0.0116 memory: 2396 2023/03/10 21:30:07 - mmengine - INFO - Epoch(val) [6][5680/6282] eta: 0:00:39 time: 0.0615 data_time: 0.0155 memory: 2396 2023/03/10 21:30:08 - mmengine - INFO - Epoch(val) [6][5700/6282] eta: 0:00:37 time: 0.0597 data_time: 0.0140 memory: 2396 2023/03/10 21:30:10 - mmengine - INFO - Epoch(val) [6][5720/6282] eta: 0:00:36 time: 0.0611 data_time: 0.0110 memory: 2686 2023/03/10 21:30:11 - mmengine - INFO - Epoch(val) [6][5740/6282] eta: 0:00:35 time: 0.0570 data_time: 0.0034 memory: 2686 2023/03/10 21:30:12 - mmengine - INFO - Epoch(val) [6][5760/6282] eta: 0:00:33 time: 0.0599 data_time: 0.0026 memory: 2686 2023/03/10 21:30:13 - mmengine - INFO - Epoch(val) [6][5780/6282] eta: 0:00:32 time: 0.0570 data_time: 0.0020 memory: 2686 2023/03/10 21:30:14 - mmengine - INFO - Epoch(val) [6][5800/6282] eta: 0:00:31 time: 0.0569 data_time: 0.0021 memory: 2686 2023/03/10 21:30:15 - mmengine - INFO - Epoch(val) [6][5820/6282] eta: 0:00:29 time: 0.0550 data_time: 0.0021 memory: 2686 2023/03/10 21:30:17 - mmengine - INFO - Epoch(val) [6][5840/6282] eta: 0:00:28 time: 0.0650 data_time: 0.0136 memory: 2608 2023/03/10 21:30:18 - mmengine - INFO - Epoch(val) [6][5860/6282] eta: 0:00:27 time: 0.0552 data_time: 0.0060 memory: 2608 2023/03/10 21:30:19 - mmengine - INFO - Epoch(val) [6][5880/6282] eta: 0:00:26 time: 0.0624 data_time: 0.0121 memory: 2608 2023/03/10 21:30:20 - mmengine - INFO - Epoch(val) [6][5900/6282] eta: 0:00:24 time: 0.0567 data_time: 0.0062 memory: 2608 2023/03/10 21:30:21 - mmengine - INFO - Epoch(val) [6][5920/6282] eta: 0:00:23 time: 0.0609 data_time: 0.0120 memory: 2608 2023/03/10 21:30:23 - mmengine - INFO - Epoch(val) [6][5940/6282] eta: 0:00:22 time: 0.0785 data_time: 0.0301 memory: 2396 2023/03/10 21:30:24 - mmengine - INFO - Epoch(val) [6][5960/6282] eta: 0:00:20 time: 0.0598 data_time: 0.0141 memory: 2396 2023/03/10 21:30:25 - mmengine - INFO - Epoch(val) [6][5980/6282] eta: 0:00:19 time: 0.0554 data_time: 0.0099 memory: 2396 2023/03/10 21:30:27 - mmengine - INFO - Epoch(val) [6][6000/6282] eta: 0:00:18 time: 0.0626 data_time: 0.0051 memory: 2934 2023/03/10 21:30:28 - mmengine - INFO - Epoch(val) [6][6020/6282] eta: 0:00:16 time: 0.0637 data_time: 0.0022 memory: 2934 2023/03/10 21:30:29 - mmengine - INFO - Epoch(val) [6][6040/6282] eta: 0:00:15 time: 0.0638 data_time: 0.0032 memory: 2934 2023/03/10 21:30:30 - mmengine - INFO - Epoch(val) [6][6060/6282] eta: 0:00:14 time: 0.0634 data_time: 0.0028 memory: 2934 2023/03/10 21:30:32 - mmengine - INFO - Epoch(val) [6][6080/6282] eta: 0:00:13 time: 0.0634 data_time: 0.0028 memory: 2934 2023/03/10 21:30:33 - mmengine - INFO - Epoch(val) [6][6100/6282] eta: 0:00:11 time: 0.0631 data_time: 0.0027 memory: 2934 2023/03/10 21:30:34 - mmengine - INFO - Epoch(val) [6][6120/6282] eta: 0:00:10 time: 0.0634 data_time: 0.0028 memory: 2934 2023/03/10 21:30:35 - mmengine - INFO - Epoch(val) [6][6140/6282] eta: 0:00:09 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/10 21:30:37 - mmengine - INFO - Epoch(val) [6][6160/6282] eta: 0:00:07 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/10 21:30:38 - mmengine - INFO - Epoch(val) [6][6180/6282] eta: 0:00:06 time: 0.0619 data_time: 0.0021 memory: 2934 2023/03/10 21:30:39 - mmengine - INFO - Epoch(val) [6][6200/6282] eta: 0:00:05 time: 0.0616 data_time: 0.0022 memory: 2934 2023/03/10 21:30:40 - mmengine - INFO - Epoch(val) [6][6220/6282] eta: 0:00:04 time: 0.0617 data_time: 0.0023 memory: 2934 2023/03/10 21:30:42 - mmengine - INFO - Epoch(val) [6][6240/6282] eta: 0:00:02 time: 0.0617 data_time: 0.0023 memory: 2934 2023/03/10 21:30:43 - mmengine - INFO - Epoch(val) [6][6260/6282] eta: 0:00:01 time: 0.0609 data_time: 0.0019 memory: 2934 2023/03/10 21:30:44 - mmengine - INFO - Epoch(val) [6][6280/6282] eta: 0:00:00 time: 0.0606 data_time: 0.0017 memory: 2934 2023/03/10 21:34:29 - mmengine - INFO - Epoch(val) [6][6282/6282] mAP/mAP@0.5IOU: 0.3196 2023/03/10 21:34:29 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_5.pth is removed 2023/03/10 21:34:32 - mmengine - INFO - The best checkpoint with 0.3196 mAP/mAP@0.5IOU at 6 epoch is saved to best_mAP/mAP@0.5IOU_epoch_6.pth. 2023/03/10 21:34:49 - mmengine - INFO - Epoch(train) [7][ 20/4451] lr: 2.9369e-06 eta: 11:55:48 time: 0.8599 data_time: 0.4406 memory: 51970 grad_norm: 0.1316 loss: 0.0452 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6667 recall@top3: 0.7293 prec@top3: 0.5333 recall@top5: 0.7840 prec@top5: 0.3520 loss_action_cls: 0.0452 2023/03/10 21:35:01 - mmengine - INFO - Epoch(train) [7][ 40/4451] lr: 2.9366e-06 eta: 11:55:30 time: 0.5994 data_time: 0.1787 memory: 51970 grad_norm: 0.1330 loss: 0.0462 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.6548 recall@top3: 0.8333 prec@top3: 0.6905 recall@top5: 0.8571 prec@top5: 0.4286 loss_action_cls: 0.0462 2023/03/10 21:35:15 - mmengine - INFO - Epoch(train) [7][ 60/4451] lr: 2.9363e-06 eta: 11:55:17 time: 0.7094 data_time: 0.2918 memory: 51970 grad_norm: 0.1402 loss: 0.0532 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.6993 recall@top3: 0.7761 prec@top3: 0.6522 recall@top5: 0.9043 prec@top5: 0.4696 loss_action_cls: 0.0532 2023/03/10 21:35:27 - mmengine - INFO - Epoch(train) [7][ 80/4451] lr: 2.9361e-06 eta: 11:54:58 time: 0.5907 data_time: 0.1691 memory: 51970 grad_norm: 0.1329 loss: 0.0459 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.6471 recall@top3: 0.8529 prec@top3: 0.5294 recall@top5: 0.9412 prec@top5: 0.3647 loss_action_cls: 0.0459 2023/03/10 21:35:41 - mmengine - INFO - Epoch(train) [7][ 100/4451] lr: 2.9358e-06 eta: 11:54:45 time: 0.6973 data_time: 0.2743 memory: 51970 grad_norm: 0.1358 loss: 0.0413 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.6389 recall@top3: 0.8102 prec@top3: 0.5926 recall@top5: 0.9167 prec@top5: 0.4222 loss_action_cls: 0.0413 2023/03/10 21:35:54 - mmengine - INFO - Epoch(train) [7][ 120/4451] lr: 2.9355e-06 eta: 11:54:29 time: 0.6518 data_time: 0.2224 memory: 51970 grad_norm: 0.1343 loss: 0.0426 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7593 recall@top3: 0.8827 prec@top3: 0.6173 recall@top5: 0.9630 prec@top5: 0.4000 loss_action_cls: 0.0426 2023/03/10 21:36:09 - mmengine - INFO - Epoch(train) [7][ 140/4451] lr: 2.9352e-06 eta: 11:54:17 time: 0.7137 data_time: 0.2899 memory: 51970 grad_norm: 0.1341 loss: 0.0427 recall@thr=0.5: 0.6070 prec@thr=0.5: 0.7018 recall@top3: 0.7912 prec@top3: 0.6316 recall@top5: 0.8474 prec@top5: 0.4211 loss_action_cls: 0.0427 2023/03/10 21:36:21 - mmengine - INFO - Epoch(train) [7][ 160/4451] lr: 2.9349e-06 eta: 11:54:00 time: 0.6211 data_time: 0.1931 memory: 51970 grad_norm: 0.1394 loss: 0.0471 recall@thr=0.5: 0.6096 prec@thr=0.5: 0.8289 recall@top3: 0.8000 prec@top3: 0.8070 recall@top5: 0.9737 prec@top5: 0.6000 loss_action_cls: 0.0471 2023/03/10 21:36:35 - mmengine - INFO - Epoch(train) [7][ 180/4451] lr: 2.9346e-06 eta: 11:53:46 time: 0.6954 data_time: 0.2664 memory: 51970 grad_norm: 0.1428 loss: 0.0508 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7778 recall@top3: 0.8889 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0508 2023/03/10 21:36:48 - mmengine - INFO - Epoch(train) [7][ 200/4451] lr: 2.9343e-06 eta: 11:53:30 time: 0.6404 data_time: 0.2152 memory: 51970 grad_norm: 0.1332 loss: 0.0415 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.6800 recall@top3: 0.8200 prec@top3: 0.6133 recall@top5: 0.8400 prec@top5: 0.3840 loss_action_cls: 0.0415 2023/03/10 21:37:01 - mmengine - INFO - Epoch(train) [7][ 220/4451] lr: 2.9340e-06 eta: 11:53:16 time: 0.6846 data_time: 0.2620 memory: 51970 grad_norm: 0.1417 loss: 0.0492 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.5458 recall@top3: 0.7083 prec@top3: 0.5500 recall@top5: 0.8875 prec@top5: 0.4300 loss_action_cls: 0.0492 2023/03/10 21:37:13 - mmengine - INFO - Epoch(train) [7][ 240/4451] lr: 2.9336e-06 eta: 11:52:58 time: 0.6035 data_time: 0.1756 memory: 51970 grad_norm: 0.1424 loss: 0.0445 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.6429 recall@top3: 0.8095 prec@top3: 0.5238 recall@top5: 0.9405 prec@top5: 0.3857 loss_action_cls: 0.0445 2023/03/10 21:37:25 - mmengine - INFO - Epoch(train) [7][ 260/4451] lr: 2.9333e-06 eta: 11:52:40 time: 0.5783 data_time: 0.1541 memory: 51970 grad_norm: 0.1417 loss: 0.0416 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.5952 recall@top3: 0.7976 prec@top3: 0.4762 recall@top5: 0.8690 prec@top5: 0.3143 loss_action_cls: 0.0416 2023/03/10 21:37:36 - mmengine - INFO - Epoch(train) [7][ 280/4451] lr: 2.9330e-06 eta: 11:52:20 time: 0.5523 data_time: 0.1049 memory: 51970 grad_norm: 0.1425 loss: 0.0479 recall@thr=0.5: 0.4848 prec@thr=0.5: 0.5909 recall@top3: 0.7121 prec@top3: 0.6364 recall@top5: 0.8485 prec@top5: 0.4545 loss_action_cls: 0.0479 2023/03/10 21:37:45 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 21:37:50 - mmengine - INFO - Epoch(train) [7][ 300/4451] lr: 2.9327e-06 eta: 11:52:06 time: 0.6886 data_time: 0.0961 memory: 51970 grad_norm: 0.1248 loss: 0.0489 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.6786 recall@top3: 0.8631 prec@top3: 0.7143 recall@top5: 0.9315 prec@top5: 0.4714 loss_action_cls: 0.0489 2023/03/10 21:38:02 - mmengine - INFO - Epoch(train) [7][ 320/4451] lr: 2.9324e-06 eta: 11:51:49 time: 0.6196 data_time: 0.0105 memory: 51970 grad_norm: 0.1328 loss: 0.0435 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.9420 recall@top3: 0.8623 prec@top3: 0.8116 recall@top5: 1.0000 prec@top5: 0.5826 loss_action_cls: 0.0435 2023/03/10 21:38:14 - mmengine - INFO - Epoch(train) [7][ 340/4451] lr: 2.9321e-06 eta: 11:51:30 time: 0.5814 data_time: 0.0132 memory: 51970 grad_norm: 0.1361 loss: 0.0501 recall@thr=0.5: 0.6941 prec@thr=0.5: 0.6559 recall@top3: 0.8204 prec@top3: 0.5591 recall@top5: 0.9022 prec@top5: 0.3871 loss_action_cls: 0.0501 2023/03/10 21:38:27 - mmengine - INFO - Epoch(train) [7][ 360/4451] lr: 2.9318e-06 eta: 11:51:16 time: 0.6743 data_time: 0.0113 memory: 51970 grad_norm: 0.1307 loss: 0.0443 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7467 recall@top3: 0.8250 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0443 2023/03/10 21:38:40 - mmengine - INFO - Epoch(train) [7][ 380/4451] lr: 2.9315e-06 eta: 11:50:58 time: 0.6092 data_time: 0.0127 memory: 51970 grad_norm: 0.1417 loss: 0.0422 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.6538 recall@top3: 0.7885 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4231 loss_action_cls: 0.0422 2023/03/10 21:38:52 - mmengine - INFO - Epoch(train) [7][ 400/4451] lr: 2.9312e-06 eta: 11:50:41 time: 0.6203 data_time: 0.0122 memory: 51970 grad_norm: 0.1370 loss: 0.0487 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6812 recall@top3: 0.8080 prec@top3: 0.4928 recall@top5: 0.8841 prec@top5: 0.3304 loss_action_cls: 0.0487 2023/03/10 21:39:05 - mmengine - INFO - Epoch(train) [7][ 420/4451] lr: 2.9308e-06 eta: 11:50:25 time: 0.6387 data_time: 0.1581 memory: 51970 grad_norm: 0.1353 loss: 0.0396 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8492 recall@top3: 0.8730 prec@top3: 0.6825 recall@top5: 0.9286 prec@top5: 0.4476 loss_action_cls: 0.0396 2023/03/10 21:39:18 - mmengine - INFO - Epoch(train) [7][ 440/4451] lr: 2.9305e-06 eta: 11:50:10 time: 0.6665 data_time: 0.0340 memory: 51970 grad_norm: 0.1385 loss: 0.0405 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.5929 recall@top3: 0.7692 prec@top3: 0.5385 recall@top5: 0.8782 prec@top5: 0.4000 loss_action_cls: 0.0405 2023/03/10 21:39:32 - mmengine - INFO - Epoch(train) [7][ 460/4451] lr: 2.9302e-06 eta: 11:49:57 time: 0.6895 data_time: 0.1161 memory: 51970 grad_norm: 0.1351 loss: 0.0485 recall@thr=0.5: 0.6024 prec@thr=0.5: 0.6952 recall@top3: 0.8548 prec@top3: 0.7143 recall@top5: 0.9929 prec@top5: 0.5086 loss_action_cls: 0.0485 2023/03/10 21:39:46 - mmengine - INFO - Epoch(train) [7][ 480/4451] lr: 2.9299e-06 eta: 11:49:43 time: 0.6850 data_time: 0.0247 memory: 51970 grad_norm: 0.1267 loss: 0.0445 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8426 recall@top3: 0.9352 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0445 2023/03/10 21:39:57 - mmengine - INFO - Epoch(train) [7][ 500/4451] lr: 2.9296e-06 eta: 11:49:24 time: 0.5787 data_time: 0.0123 memory: 51970 grad_norm: 0.1376 loss: 0.0460 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8553 recall@top3: 0.7652 prec@top3: 0.6970 recall@top5: 0.9848 prec@top5: 0.5636 loss_action_cls: 0.0460 2023/03/10 21:40:11 - mmengine - INFO - Epoch(train) [7][ 520/4451] lr: 2.9292e-06 eta: 11:49:10 time: 0.6778 data_time: 0.0120 memory: 51970 grad_norm: 0.1340 loss: 0.0440 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.7143 recall@top3: 0.8810 prec@top3: 0.4762 recall@top5: 0.9524 prec@top5: 0.3143 loss_action_cls: 0.0440 2023/03/10 21:40:22 - mmengine - INFO - Epoch(train) [7][ 540/4451] lr: 2.9289e-06 eta: 11:48:51 time: 0.5889 data_time: 0.0137 memory: 51970 grad_norm: 0.1359 loss: 0.0421 recall@thr=0.5: 0.5722 prec@thr=0.5: 0.7000 recall@top3: 0.7778 prec@top3: 0.5333 recall@top5: 0.9333 prec@top5: 0.4267 loss_action_cls: 0.0421 2023/03/10 21:40:35 - mmengine - INFO - Epoch(train) [7][ 560/4451] lr: 2.9286e-06 eta: 11:48:34 time: 0.6178 data_time: 0.0115 memory: 51970 grad_norm: 0.1373 loss: 0.0483 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.7391 recall@top3: 0.7935 prec@top3: 0.6522 recall@top5: 0.8478 prec@top5: 0.4261 loss_action_cls: 0.0483 2023/03/10 21:40:47 - mmengine - INFO - Epoch(train) [7][ 580/4451] lr: 2.9283e-06 eta: 11:48:17 time: 0.6108 data_time: 0.0206 memory: 51970 grad_norm: 0.1357 loss: 0.0459 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.6852 recall@top3: 0.8241 prec@top3: 0.4444 recall@top5: 0.9815 prec@top5: 0.3444 loss_action_cls: 0.0459 2023/03/10 21:41:02 - mmengine - INFO - Epoch(train) [7][ 600/4451] lr: 2.9279e-06 eta: 11:48:05 time: 0.7333 data_time: 0.0165 memory: 51970 grad_norm: 0.1351 loss: 0.0411 recall@thr=0.5: 0.5868 prec@thr=0.5: 0.7187 recall@top3: 0.6528 prec@top3: 0.6528 recall@top5: 0.9306 prec@top5: 0.5417 loss_action_cls: 0.0411 2023/03/10 21:41:14 - mmengine - INFO - Epoch(train) [7][ 620/4451] lr: 2.9276e-06 eta: 11:47:49 time: 0.6230 data_time: 0.0144 memory: 51970 grad_norm: 0.1379 loss: 0.0424 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7083 recall@top3: 0.9792 prec@top3: 0.5417 recall@top5: 0.9792 prec@top5: 0.3250 loss_action_cls: 0.0424 2023/03/10 21:41:27 - mmengine - INFO - Epoch(train) [7][ 640/4451] lr: 2.9273e-06 eta: 11:47:33 time: 0.6422 data_time: 0.0182 memory: 51970 grad_norm: 0.1446 loss: 0.0415 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6012 recall@top3: 0.7000 prec@top3: 0.6190 recall@top5: 0.8351 prec@top5: 0.4857 loss_action_cls: 0.0415 2023/03/10 21:41:39 - mmengine - INFO - Epoch(train) [7][ 660/4451] lr: 2.9269e-06 eta: 11:47:15 time: 0.5914 data_time: 0.0126 memory: 51970 grad_norm: 0.1387 loss: 0.0459 recall@thr=0.5: 0.9608 prec@thr=0.5: 0.8725 recall@top3: 0.9804 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0459 2023/03/10 21:41:52 - mmengine - INFO - Epoch(train) [7][ 680/4451] lr: 2.9266e-06 eta: 11:47:00 time: 0.6581 data_time: 0.0129 memory: 51970 grad_norm: 0.1323 loss: 0.0445 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6225 recall@top3: 0.7549 prec@top3: 0.6471 recall@top5: 0.8873 prec@top5: 0.4588 loss_action_cls: 0.0445 2023/03/10 21:42:05 - mmengine - INFO - Epoch(train) [7][ 700/4451] lr: 2.9263e-06 eta: 11:46:44 time: 0.6502 data_time: 0.0128 memory: 51970 grad_norm: 0.1350 loss: 0.0457 recall@thr=0.5: 0.6185 prec@thr=0.5: 0.7284 recall@top3: 0.7451 prec@top3: 0.5556 recall@top5: 0.9296 prec@top5: 0.4222 loss_action_cls: 0.0457 2023/03/10 21:42:17 - mmengine - INFO - Epoch(train) [7][ 720/4451] lr: 2.9259e-06 eta: 11:46:26 time: 0.5960 data_time: 0.0137 memory: 51970 grad_norm: 0.1371 loss: 0.0431 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.7083 recall@top3: 0.8333 prec@top3: 0.5278 recall@top5: 0.9306 prec@top5: 0.3833 loss_action_cls: 0.0431 2023/03/10 21:42:30 - mmengine - INFO - Epoch(train) [7][ 740/4451] lr: 2.9256e-06 eta: 11:46:11 time: 0.6469 data_time: 0.0124 memory: 51970 grad_norm: 0.1379 loss: 0.0500 recall@thr=0.5: 0.6625 prec@thr=0.5: 0.8167 recall@top3: 0.7708 prec@top3: 0.6333 recall@top5: 0.9000 prec@top5: 0.4600 loss_action_cls: 0.0500 2023/03/10 21:42:41 - mmengine - INFO - Epoch(train) [7][ 760/4451] lr: 2.9253e-06 eta: 11:45:52 time: 0.5773 data_time: 0.0200 memory: 51970 grad_norm: 0.1289 loss: 0.0466 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6562 recall@top3: 0.8542 prec@top3: 0.3958 recall@top5: 0.8854 prec@top5: 0.2500 loss_action_cls: 0.0466 2023/03/10 21:42:54 - mmengine - INFO - Epoch(train) [7][ 780/4451] lr: 2.9249e-06 eta: 11:45:36 time: 0.6445 data_time: 0.1226 memory: 51970 grad_norm: 0.1283 loss: 0.0419 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.9118 recall@top3: 0.9020 prec@top3: 0.7647 recall@top5: 0.9804 prec@top5: 0.5059 loss_action_cls: 0.0419 2023/03/10 21:43:08 - mmengine - INFO - Epoch(train) [7][ 800/4451] lr: 2.9246e-06 eta: 11:45:21 time: 0.6606 data_time: 0.2305 memory: 51970 grad_norm: 0.1333 loss: 0.0458 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8137 recall@top3: 0.7941 prec@top3: 0.5882 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0458 2023/03/10 21:43:19 - mmengine - INFO - Epoch(train) [7][ 820/4451] lr: 2.9242e-06 eta: 11:45:02 time: 0.5690 data_time: 0.1435 memory: 51970 grad_norm: 0.1343 loss: 0.0459 recall@thr=0.5: 0.7905 prec@thr=0.5: 0.8770 recall@top3: 0.8619 prec@top3: 0.6508 recall@top5: 0.9238 prec@top5: 0.4381 loss_action_cls: 0.0459 2023/03/10 21:43:31 - mmengine - INFO - Epoch(train) [7][ 840/4451] lr: 2.9239e-06 eta: 11:44:45 time: 0.6062 data_time: 0.1789 memory: 51970 grad_norm: 0.1345 loss: 0.0447 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.7083 recall@top3: 0.7833 prec@top3: 0.6833 recall@top5: 0.9250 prec@top5: 0.4900 loss_action_cls: 0.0447 2023/03/10 21:43:43 - mmengine - INFO - Epoch(train) [7][ 860/4451] lr: 2.9235e-06 eta: 11:44:28 time: 0.6227 data_time: 0.1981 memory: 51970 grad_norm: 0.1278 loss: 0.0450 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.6950 recall@top3: 0.8583 prec@top3: 0.5333 recall@top5: 0.9667 prec@top5: 0.3700 loss_action_cls: 0.0450 2023/03/10 21:43:56 - mmengine - INFO - Epoch(train) [7][ 880/4451] lr: 2.9232e-06 eta: 11:44:11 time: 0.6165 data_time: 0.1919 memory: 51970 grad_norm: 0.1306 loss: 0.0472 recall@thr=0.5: 0.5375 prec@thr=0.5: 0.6417 recall@top3: 0.8125 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4100 loss_action_cls: 0.0472 2023/03/10 21:44:09 - mmengine - INFO - Epoch(train) [7][ 900/4451] lr: 2.9229e-06 eta: 11:43:57 time: 0.6751 data_time: 0.2492 memory: 51970 grad_norm: 0.1309 loss: 0.0436 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8333 recall@top3: 0.9286 prec@top3: 0.5952 recall@top5: 0.9762 prec@top5: 0.3857 loss_action_cls: 0.0436 2023/03/10 21:44:21 - mmengine - INFO - Epoch(train) [7][ 920/4451] lr: 2.9225e-06 eta: 11:43:38 time: 0.5771 data_time: 0.0941 memory: 51970 grad_norm: 0.1378 loss: 0.0410 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.8167 recall@top3: 0.8250 prec@top3: 0.6167 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0410 2023/03/10 21:44:34 - mmengine - INFO - Epoch(train) [7][ 940/4451] lr: 2.9222e-06 eta: 11:43:22 time: 0.6351 data_time: 0.1799 memory: 51970 grad_norm: 0.1359 loss: 0.0494 recall@thr=0.5: 0.5567 prec@thr=0.5: 0.6733 recall@top3: 0.7400 prec@top3: 0.4667 recall@top5: 0.8000 prec@top5: 0.3040 loss_action_cls: 0.0494 2023/03/10 21:44:47 - mmengine - INFO - Epoch(train) [7][ 960/4451] lr: 2.9218e-06 eta: 11:43:07 time: 0.6533 data_time: 0.1129 memory: 51970 grad_norm: 0.1373 loss: 0.0442 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.8958 recall@top3: 0.9583 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0442 2023/03/10 21:45:00 - mmengine - INFO - Epoch(train) [7][ 980/4451] lr: 2.9215e-06 eta: 11:42:51 time: 0.6535 data_time: 0.1724 memory: 51970 grad_norm: 0.1385 loss: 0.0461 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.7955 recall@top3: 0.7955 prec@top3: 0.6818 recall@top5: 0.9318 prec@top5: 0.4909 loss_action_cls: 0.0461 2023/03/10 21:45:12 - mmengine - INFO - Epoch(train) [7][1000/4451] lr: 2.9211e-06 eta: 11:42:34 time: 0.5963 data_time: 0.0272 memory: 51970 grad_norm: 0.1319 loss: 0.0465 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.4896 recall@top3: 0.7917 prec@top3: 0.5417 recall@top5: 0.8958 prec@top5: 0.3750 loss_action_cls: 0.0465 2023/03/10 21:45:24 - mmengine - INFO - Epoch(train) [7][1020/4451] lr: 2.9207e-06 eta: 11:42:16 time: 0.5964 data_time: 0.0354 memory: 51970 grad_norm: 0.1437 loss: 0.0471 recall@thr=0.5: 0.8144 prec@thr=0.5: 0.7803 recall@top3: 0.8523 prec@top3: 0.5606 recall@top5: 0.9545 prec@top5: 0.3909 loss_action_cls: 0.0471 2023/03/10 21:45:36 - mmengine - INFO - Epoch(train) [7][1040/4451] lr: 2.9204e-06 eta: 11:41:59 time: 0.6214 data_time: 0.0120 memory: 51970 grad_norm: 0.1300 loss: 0.0470 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5714 recall@top3: 0.7341 prec@top3: 0.6032 recall@top5: 0.9246 prec@top5: 0.4667 loss_action_cls: 0.0470 2023/03/10 21:45:48 - mmengine - INFO - Epoch(train) [7][1060/4451] lr: 2.9200e-06 eta: 11:41:42 time: 0.6080 data_time: 0.0130 memory: 51970 grad_norm: 0.1309 loss: 0.0377 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9259 recall@top3: 0.9352 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0377 2023/03/10 21:46:01 - mmengine - INFO - Epoch(train) [7][1080/4451] lr: 2.9197e-06 eta: 11:41:26 time: 0.6377 data_time: 0.0129 memory: 51970 grad_norm: 0.1361 loss: 0.0440 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.5044 recall@top3: 0.7807 prec@top3: 0.5965 recall@top5: 0.8728 prec@top5: 0.4211 loss_action_cls: 0.0440 2023/03/10 21:46:15 - mmengine - INFO - Epoch(train) [7][1100/4451] lr: 2.9193e-06 eta: 11:41:13 time: 0.6941 data_time: 0.0145 memory: 51970 grad_norm: 0.1396 loss: 0.0407 recall@thr=0.5: 0.6994 prec@thr=0.5: 0.7155 recall@top3: 0.8379 prec@top3: 0.7011 recall@top5: 0.9086 prec@top5: 0.4828 loss_action_cls: 0.0407 2023/03/10 21:46:26 - mmengine - INFO - Epoch(train) [7][1120/4451] lr: 2.9190e-06 eta: 11:40:53 time: 0.5530 data_time: 0.0482 memory: 51970 grad_norm: 0.1314 loss: 0.0435 recall@thr=0.5: 0.7625 prec@thr=0.5: 0.7917 recall@top3: 0.9292 prec@top3: 0.7083 recall@top5: 0.9750 prec@top5: 0.4625 loss_action_cls: 0.0435 2023/03/10 21:46:39 - mmengine - INFO - Epoch(train) [7][1140/4451] lr: 2.9186e-06 eta: 11:40:38 time: 0.6567 data_time: 0.0739 memory: 51970 grad_norm: 0.1375 loss: 0.0469 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.8824 recall@top3: 0.7990 prec@top3: 0.6078 recall@top5: 0.8824 prec@top5: 0.4235 loss_action_cls: 0.0469 2023/03/10 21:46:51 - mmengine - INFO - Epoch(train) [7][1160/4451] lr: 2.9182e-06 eta: 11:40:20 time: 0.6026 data_time: 0.1687 memory: 51970 grad_norm: 0.1297 loss: 0.0442 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8125 recall@top3: 0.9375 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.3500 loss_action_cls: 0.0442 2023/03/10 21:47:03 - mmengine - INFO - Epoch(train) [7][1180/4451] lr: 2.9179e-06 eta: 11:40:03 time: 0.6126 data_time: 0.1279 memory: 51970 grad_norm: 0.1282 loss: 0.0486 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.9062 recall@top3: 0.8750 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0486 2023/03/10 21:47:17 - mmengine - INFO - Epoch(train) [7][1200/4451] lr: 2.9175e-06 eta: 11:39:49 time: 0.6657 data_time: 0.0645 memory: 51970 grad_norm: 0.1362 loss: 0.0454 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8750 recall@top3: 0.8542 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5100 loss_action_cls: 0.0454 2023/03/10 21:47:29 - mmengine - INFO - Epoch(train) [7][1220/4451] lr: 2.9171e-06 eta: 11:39:31 time: 0.5967 data_time: 0.0557 memory: 51970 grad_norm: 0.1354 loss: 0.0469 recall@thr=0.5: 0.4427 prec@thr=0.5: 0.4583 recall@top3: 0.5677 prec@top3: 0.4167 recall@top5: 0.7344 prec@top5: 0.3250 loss_action_cls: 0.0469 2023/03/10 21:47:41 - mmengine - INFO - Epoch(train) [7][1240/4451] lr: 2.9168e-06 eta: 11:39:14 time: 0.6197 data_time: 0.0302 memory: 51970 grad_norm: 0.1332 loss: 0.0423 recall@thr=0.5: 0.7598 prec@thr=0.5: 0.8382 recall@top3: 0.8431 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.5176 loss_action_cls: 0.0423 2023/03/10 21:47:53 - mmengine - INFO - Epoch(train) [7][1260/4451] lr: 2.9164e-06 eta: 11:38:58 time: 0.6157 data_time: 0.0131 memory: 51970 grad_norm: 0.1428 loss: 0.0437 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7560 recall@top3: 0.7649 prec@top3: 0.6548 recall@top5: 0.9435 prec@top5: 0.5071 loss_action_cls: 0.0437 2023/03/10 21:48:06 - mmengine - INFO - Epoch(train) [7][1280/4451] lr: 2.9160e-06 eta: 11:38:42 time: 0.6501 data_time: 0.0127 memory: 51970 grad_norm: 0.1355 loss: 0.0431 recall@thr=0.5: 0.7718 prec@thr=0.5: 0.8077 recall@top3: 0.8256 prec@top3: 0.5641 recall@top5: 0.9077 prec@top5: 0.4000 loss_action_cls: 0.0431 2023/03/10 21:48:16 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 21:48:19 - mmengine - INFO - Epoch(train) [7][1300/4451] lr: 2.9156e-06 eta: 11:38:26 time: 0.6412 data_time: 0.0119 memory: 51970 grad_norm: 0.1368 loss: 0.0422 recall@thr=0.5: 0.6308 prec@thr=0.5: 0.7269 recall@top3: 0.7346 prec@top3: 0.6667 recall@top5: 0.8462 prec@top5: 0.4846 loss_action_cls: 0.0422 2023/03/10 21:48:32 - mmengine - INFO - Epoch(train) [7][1320/4451] lr: 2.9153e-06 eta: 11:38:10 time: 0.6295 data_time: 0.0128 memory: 51970 grad_norm: 0.1358 loss: 0.0443 recall@thr=0.5: 0.7257 prec@thr=0.5: 0.8125 recall@top3: 0.8090 prec@top3: 0.6389 recall@top5: 0.9514 prec@top5: 0.4667 loss_action_cls: 0.0443 2023/03/10 21:48:44 - mmengine - INFO - Epoch(train) [7][1340/4451] lr: 2.9149e-06 eta: 11:37:53 time: 0.6079 data_time: 0.0183 memory: 51970 grad_norm: 0.1302 loss: 0.0434 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.6961 recall@top3: 0.9118 prec@top3: 0.5294 recall@top5: 0.9118 prec@top5: 0.3176 loss_action_cls: 0.0434 2023/03/10 21:48:56 - mmengine - INFO - Epoch(train) [7][1360/4451] lr: 2.9145e-06 eta: 11:37:36 time: 0.6084 data_time: 0.1378 memory: 51970 grad_norm: 0.1341 loss: 0.0406 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7284 recall@top3: 0.7963 prec@top3: 0.6914 recall@top5: 0.9352 prec@top5: 0.4963 loss_action_cls: 0.0406 2023/03/10 21:49:08 - mmengine - INFO - Epoch(train) [7][1380/4451] lr: 2.9141e-06 eta: 11:37:18 time: 0.5901 data_time: 0.1225 memory: 51970 grad_norm: 0.1304 loss: 0.0461 recall@thr=0.5: 0.6694 prec@thr=0.5: 0.7728 recall@top3: 0.8556 prec@top3: 0.6556 recall@top5: 0.9528 prec@top5: 0.4467 loss_action_cls: 0.0461 2023/03/10 21:49:21 - mmengine - INFO - Epoch(train) [7][1400/4451] lr: 2.9138e-06 eta: 11:37:03 time: 0.6608 data_time: 0.0247 memory: 51970 grad_norm: 0.1363 loss: 0.0391 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8507 recall@top3: 0.8611 prec@top3: 0.6944 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0391 2023/03/10 21:49:34 - mmengine - INFO - Epoch(train) [7][1420/4451] lr: 2.9134e-06 eta: 11:36:47 time: 0.6413 data_time: 0.0121 memory: 51970 grad_norm: 0.1388 loss: 0.0427 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.7424 recall@top3: 0.8068 prec@top3: 0.6818 recall@top5: 0.8864 prec@top5: 0.4636 loss_action_cls: 0.0427 2023/03/10 21:49:47 - mmengine - INFO - Epoch(train) [7][1440/4451] lr: 2.9130e-06 eta: 11:36:33 time: 0.6735 data_time: 0.0128 memory: 51970 grad_norm: 0.1371 loss: 0.0487 recall@thr=0.5: 0.6225 prec@thr=0.5: 0.7843 recall@top3: 0.7108 prec@top3: 0.6078 recall@top5: 0.7402 prec@top5: 0.3882 loss_action_cls: 0.0487 2023/03/10 21:50:00 - mmengine - INFO - Epoch(train) [7][1460/4451] lr: 2.9126e-06 eta: 11:36:18 time: 0.6462 data_time: 0.0122 memory: 51970 grad_norm: 0.1335 loss: 0.0405 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6176 recall@top3: 0.7598 prec@top3: 0.5882 recall@top5: 0.8922 prec@top5: 0.4118 loss_action_cls: 0.0405 2023/03/10 21:50:13 - mmengine - INFO - Epoch(train) [7][1480/4451] lr: 2.9122e-06 eta: 11:36:03 time: 0.6553 data_time: 0.0115 memory: 51970 grad_norm: 0.1325 loss: 0.0453 recall@thr=0.5: 0.4545 prec@thr=0.5: 0.4091 recall@top3: 0.7273 prec@top3: 0.3333 recall@top5: 0.8182 prec@top5: 0.2364 loss_action_cls: 0.0453 2023/03/10 21:50:25 - mmengine - INFO - Epoch(train) [7][1500/4451] lr: 2.9118e-06 eta: 11:35:43 time: 0.5580 data_time: 0.0163 memory: 51970 grad_norm: 0.1392 loss: 0.0453 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9067 recall@top3: 0.8389 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5200 loss_action_cls: 0.0453 2023/03/10 21:50:38 - mmengine - INFO - Epoch(train) [7][1520/4451] lr: 2.9115e-06 eta: 11:35:30 time: 0.6901 data_time: 0.0123 memory: 51970 grad_norm: 0.1373 loss: 0.0418 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.7902 recall@top3: 0.8627 prec@top3: 0.7255 recall@top5: 0.9118 prec@top5: 0.4706 loss_action_cls: 0.0418 2023/03/10 21:50:50 - mmengine - INFO - Epoch(train) [7][1540/4451] lr: 2.9111e-06 eta: 11:35:11 time: 0.5636 data_time: 0.0133 memory: 51970 grad_norm: 0.1322 loss: 0.0411 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7407 recall@top3: 0.7778 prec@top3: 0.6111 recall@top5: 0.9352 prec@top5: 0.4444 loss_action_cls: 0.0411 2023/03/10 21:51:02 - mmengine - INFO - Epoch(train) [7][1560/4451] lr: 2.9107e-06 eta: 11:34:54 time: 0.6205 data_time: 0.0276 memory: 51970 grad_norm: 0.1283 loss: 0.0432 recall@thr=0.5: 0.4755 prec@thr=0.5: 0.6176 recall@top3: 0.5980 prec@top3: 0.3725 recall@top5: 0.8529 prec@top5: 0.3529 loss_action_cls: 0.0432 2023/03/10 21:51:16 - mmengine - INFO - Epoch(train) [7][1580/4451] lr: 2.9103e-06 eta: 11:34:42 time: 0.7211 data_time: 0.2384 memory: 51970 grad_norm: 0.1331 loss: 0.0479 recall@thr=0.5: 0.8825 prec@thr=0.5: 0.9737 recall@top3: 0.9579 prec@top3: 0.8246 recall@top5: 0.9789 prec@top5: 0.5158 loss_action_cls: 0.0479 2023/03/10 21:51:29 - mmengine - INFO - Epoch(train) [7][1600/4451] lr: 2.9099e-06 eta: 11:34:25 time: 0.6143 data_time: 0.0987 memory: 51970 grad_norm: 0.1301 loss: 0.0487 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7133 recall@top3: 0.7433 prec@top3: 0.5733 recall@top5: 0.8800 prec@top5: 0.4000 loss_action_cls: 0.0487 2023/03/10 21:51:42 - mmengine - INFO - Epoch(train) [7][1620/4451] lr: 2.9095e-06 eta: 11:34:11 time: 0.6813 data_time: 0.0175 memory: 51970 grad_norm: 0.1353 loss: 0.0473 recall@thr=0.5: 0.6241 prec@thr=0.5: 0.5926 recall@top3: 0.7602 prec@top3: 0.5556 recall@top5: 0.8917 prec@top5: 0.3889 loss_action_cls: 0.0473 2023/03/10 21:51:55 - mmengine - INFO - Epoch(train) [7][1640/4451] lr: 2.9091e-06 eta: 11:33:56 time: 0.6408 data_time: 0.0125 memory: 51970 grad_norm: 0.1296 loss: 0.0425 recall@thr=0.5: 0.7350 prec@thr=0.5: 0.7292 recall@top3: 0.7933 prec@top3: 0.8000 recall@top5: 0.8833 prec@top5: 0.5600 loss_action_cls: 0.0425 2023/03/10 21:52:08 - mmengine - INFO - Epoch(train) [7][1660/4451] lr: 2.9087e-06 eta: 11:33:40 time: 0.6544 data_time: 0.0118 memory: 51970 grad_norm: 0.1360 loss: 0.0426 recall@thr=0.5: 0.6161 prec@thr=0.5: 0.8333 recall@top3: 0.8321 prec@top3: 0.7262 recall@top5: 0.8875 prec@top5: 0.4857 loss_action_cls: 0.0426 2023/03/10 21:52:21 - mmengine - INFO - Epoch(train) [7][1680/4451] lr: 2.9083e-06 eta: 11:33:24 time: 0.6246 data_time: 0.0131 memory: 51970 grad_norm: 0.1366 loss: 0.0484 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.9211 recall@top3: 0.8289 prec@top3: 0.7193 recall@top5: 0.9079 prec@top5: 0.4737 loss_action_cls: 0.0484 2023/03/10 21:52:33 - mmengine - INFO - Epoch(train) [7][1700/4451] lr: 2.9079e-06 eta: 11:33:07 time: 0.6096 data_time: 0.0124 memory: 51970 grad_norm: 0.1283 loss: 0.0463 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.8667 recall@top3: 0.8150 prec@top3: 0.6000 recall@top5: 0.9444 prec@top5: 0.4533 loss_action_cls: 0.0463 2023/03/10 21:52:47 - mmengine - INFO - Epoch(train) [7][1720/4451] lr: 2.9075e-06 eta: 11:32:54 time: 0.6943 data_time: 0.0137 memory: 51970 grad_norm: 0.1347 loss: 0.0377 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.8397 recall@top3: 0.8590 prec@top3: 0.6282 recall@top5: 0.9615 prec@top5: 0.4308 loss_action_cls: 0.0377 2023/03/10 21:52:59 - mmengine - INFO - Epoch(train) [7][1740/4451] lr: 2.9071e-06 eta: 11:32:37 time: 0.6056 data_time: 0.0127 memory: 51970 grad_norm: 0.1345 loss: 0.0388 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8861 recall@top3: 0.9222 prec@top3: 0.6778 recall@top5: 0.9806 prec@top5: 0.4400 loss_action_cls: 0.0388 2023/03/10 21:53:12 - mmengine - INFO - Epoch(train) [7][1760/4451] lr: 2.9067e-06 eta: 11:32:21 time: 0.6388 data_time: 0.0141 memory: 51970 grad_norm: 0.1446 loss: 0.0412 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.7708 recall@top3: 0.8750 prec@top3: 0.7917 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0412 2023/03/10 21:53:25 - mmengine - INFO - Epoch(train) [7][1780/4451] lr: 2.9063e-06 eta: 11:32:06 time: 0.6602 data_time: 0.0128 memory: 51970 grad_norm: 0.1347 loss: 0.0503 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6520 recall@top3: 0.8775 prec@top3: 0.6471 recall@top5: 0.8922 prec@top5: 0.4000 loss_action_cls: 0.0503 2023/03/10 21:53:37 - mmengine - INFO - Epoch(train) [7][1800/4451] lr: 2.9059e-06 eta: 11:31:49 time: 0.6147 data_time: 0.0123 memory: 51970 grad_norm: 0.1413 loss: 0.0375 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.7619 recall@top3: 0.8492 prec@top3: 0.7302 recall@top5: 0.9524 prec@top5: 0.5048 loss_action_cls: 0.0375 2023/03/10 21:53:51 - mmengine - INFO - Epoch(train) [7][1820/4451] lr: 2.9055e-06 eta: 11:31:35 time: 0.6758 data_time: 0.0124 memory: 51970 grad_norm: 0.1295 loss: 0.0466 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.8013 recall@top3: 0.8590 prec@top3: 0.7179 recall@top5: 0.9295 prec@top5: 0.4769 loss_action_cls: 0.0466 2023/03/10 21:54:04 - mmengine - INFO - Epoch(train) [7][1840/4451] lr: 2.9051e-06 eta: 11:31:20 time: 0.6429 data_time: 0.0123 memory: 51970 grad_norm: 0.1478 loss: 0.0416 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.7407 recall@top3: 0.7454 prec@top3: 0.5926 recall@top5: 0.8796 prec@top5: 0.4444 loss_action_cls: 0.0416 2023/03/10 21:54:17 - mmengine - INFO - Epoch(train) [7][1860/4451] lr: 2.9047e-06 eta: 11:31:04 time: 0.6438 data_time: 0.0130 memory: 51970 grad_norm: 0.1386 loss: 0.0452 recall@thr=0.5: 0.7935 prec@thr=0.5: 0.6703 recall@top3: 0.8478 prec@top3: 0.6232 recall@top5: 0.9457 prec@top5: 0.4261 loss_action_cls: 0.0452 2023/03/10 21:54:30 - mmengine - INFO - Epoch(train) [7][1880/4451] lr: 2.9043e-06 eta: 11:30:49 time: 0.6639 data_time: 0.0122 memory: 51970 grad_norm: 0.1361 loss: 0.0370 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8000 recall@top3: 0.8000 prec@top3: 0.5867 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0370 2023/03/10 21:54:43 - mmengine - INFO - Epoch(train) [7][1900/4451] lr: 2.9039e-06 eta: 11:30:34 time: 0.6431 data_time: 0.0125 memory: 51970 grad_norm: 0.1366 loss: 0.0404 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.5980 recall@top3: 0.8431 prec@top3: 0.5686 recall@top5: 0.9020 prec@top5: 0.3529 loss_action_cls: 0.0404 2023/03/10 21:54:56 - mmengine - INFO - Epoch(train) [7][1920/4451] lr: 2.9035e-06 eta: 11:30:19 time: 0.6541 data_time: 0.0127 memory: 51970 grad_norm: 0.1363 loss: 0.0411 recall@thr=0.5: 0.7370 prec@thr=0.5: 0.8009 recall@top3: 0.8389 prec@top3: 0.6296 recall@top5: 0.9454 prec@top5: 0.4444 loss_action_cls: 0.0411 2023/03/10 21:55:08 - mmengine - INFO - Epoch(train) [7][1940/4451] lr: 2.9030e-06 eta: 11:30:03 time: 0.6243 data_time: 0.0125 memory: 51970 grad_norm: 0.1360 loss: 0.0388 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.6667 recall@top3: 0.7311 prec@top3: 0.6061 recall@top5: 0.9432 prec@top5: 0.4636 loss_action_cls: 0.0388 2023/03/10 21:55:21 - mmengine - INFO - Epoch(train) [7][1960/4451] lr: 2.9026e-06 eta: 11:29:48 time: 0.6557 data_time: 0.0132 memory: 51970 grad_norm: 0.1293 loss: 0.0464 recall@thr=0.5: 0.6122 prec@thr=0.5: 0.7115 recall@top3: 0.7179 prec@top3: 0.6282 recall@top5: 0.8782 prec@top5: 0.4846 loss_action_cls: 0.0464 2023/03/10 21:55:34 - mmengine - INFO - Epoch(train) [7][1980/4451] lr: 2.9022e-06 eta: 11:29:31 time: 0.6120 data_time: 0.0121 memory: 51970 grad_norm: 0.1418 loss: 0.0404 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7708 recall@top3: 0.8083 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.5300 loss_action_cls: 0.0404 2023/03/10 21:55:47 - mmengine - INFO - Epoch(train) [7][2000/4451] lr: 2.9018e-06 eta: 11:29:16 time: 0.6623 data_time: 0.0132 memory: 51970 grad_norm: 0.1372 loss: 0.0403 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.7619 recall@top3: 0.9286 prec@top3: 0.6905 recall@top5: 0.9762 prec@top5: 0.4429 loss_action_cls: 0.0403 2023/03/10 21:55:59 - mmengine - INFO - Epoch(train) [7][2020/4451] lr: 2.9014e-06 eta: 11:28:59 time: 0.5997 data_time: 0.0120 memory: 51970 grad_norm: 0.1359 loss: 0.0403 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7941 recall@top3: 0.8235 prec@top3: 0.5294 recall@top5: 0.8824 prec@top5: 0.3412 loss_action_cls: 0.0403 2023/03/10 21:56:12 - mmengine - INFO - Epoch(train) [7][2040/4451] lr: 2.9010e-06 eta: 11:28:43 time: 0.6384 data_time: 0.0127 memory: 51970 grad_norm: 0.1310 loss: 0.0419 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7685 recall@top3: 0.8426 prec@top3: 0.6852 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0419 2023/03/10 21:56:24 - mmengine - INFO - Epoch(train) [7][2060/4451] lr: 2.9005e-06 eta: 11:28:26 time: 0.6007 data_time: 0.0129 memory: 51970 grad_norm: 0.1337 loss: 0.0419 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.4889 recall@top3: 0.7611 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.5067 loss_action_cls: 0.0419 2023/03/10 21:56:37 - mmengine - INFO - Epoch(train) [7][2080/4451] lr: 2.9001e-06 eta: 11:28:12 time: 0.6862 data_time: 0.0131 memory: 51970 grad_norm: 0.1294 loss: 0.0387 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.7604 recall@top3: 0.7951 prec@top3: 0.6667 recall@top5: 0.9271 prec@top5: 0.4750 loss_action_cls: 0.0387 2023/03/10 21:56:48 - mmengine - INFO - Epoch(train) [7][2100/4451] lr: 2.8997e-06 eta: 11:27:52 time: 0.5419 data_time: 0.0125 memory: 51970 grad_norm: 0.1326 loss: 0.0405 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.8472 recall@top3: 0.8750 prec@top3: 0.6806 recall@top5: 0.9236 prec@top5: 0.4417 loss_action_cls: 0.0405 2023/03/10 21:57:03 - mmengine - INFO - Epoch(train) [7][2120/4451] lr: 2.8993e-06 eta: 11:27:40 time: 0.7252 data_time: 0.0142 memory: 51970 grad_norm: 0.1337 loss: 0.0430 recall@thr=0.5: 0.7155 prec@thr=0.5: 0.6488 recall@top3: 0.7750 prec@top3: 0.7143 recall@top5: 0.9411 prec@top5: 0.5286 loss_action_cls: 0.0430 2023/03/10 21:57:14 - mmengine - INFO - Epoch(train) [7][2140/4451] lr: 2.8988e-06 eta: 11:27:21 time: 0.5506 data_time: 0.0129 memory: 51970 grad_norm: 0.1290 loss: 0.0397 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.5952 recall@top3: 0.9167 prec@top3: 0.4762 recall@top5: 1.0000 prec@top5: 0.3286 loss_action_cls: 0.0397 2023/03/10 21:57:27 - mmengine - INFO - Epoch(train) [7][2160/4451] lr: 2.8984e-06 eta: 11:27:06 time: 0.6481 data_time: 0.0158 memory: 51970 grad_norm: 0.1429 loss: 0.0451 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8750 recall@top3: 0.9744 prec@top3: 0.8462 recall@top5: 1.0000 prec@top5: 0.5231 loss_action_cls: 0.0451 2023/03/10 21:57:38 - mmengine - INFO - Epoch(train) [7][2180/4451] lr: 2.8980e-06 eta: 11:26:48 time: 0.5877 data_time: 0.0127 memory: 51970 grad_norm: 0.1361 loss: 0.0461 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8772 recall@top3: 0.7807 prec@top3: 0.6140 recall@top5: 0.8904 prec@top5: 0.4316 loss_action_cls: 0.0461 2023/03/10 21:57:52 - mmengine - INFO - Epoch(train) [7][2200/4451] lr: 2.8976e-06 eta: 11:26:34 time: 0.6848 data_time: 0.0140 memory: 51970 grad_norm: 0.1307 loss: 0.0395 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.9231 recall@top3: 0.8974 prec@top3: 0.7179 recall@top5: 0.9487 prec@top5: 0.4615 loss_action_cls: 0.0395 2023/03/10 21:58:04 - mmengine - INFO - Epoch(train) [7][2220/4451] lr: 2.8971e-06 eta: 11:26:16 time: 0.5772 data_time: 0.0108 memory: 51970 grad_norm: 0.1363 loss: 0.0428 recall@thr=0.5: 0.6142 prec@thr=0.5: 0.6914 recall@top3: 0.6858 prec@top3: 0.5926 recall@top5: 0.8704 prec@top5: 0.4370 loss_action_cls: 0.0428 2023/03/10 21:58:17 - mmengine - INFO - Epoch(train) [7][2240/4451] lr: 2.8967e-06 eta: 11:26:02 time: 0.6749 data_time: 0.0133 memory: 51970 grad_norm: 0.1367 loss: 0.0454 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.7257 recall@top3: 0.8576 prec@top3: 0.6389 recall@top5: 0.9167 prec@top5: 0.4250 loss_action_cls: 0.0454 2023/03/10 21:58:30 - mmengine - INFO - Epoch(train) [7][2260/4451] lr: 2.8963e-06 eta: 11:25:46 time: 0.6347 data_time: 0.0122 memory: 51970 grad_norm: 0.1360 loss: 0.0465 recall@thr=0.5: 0.8981 prec@thr=0.5: 0.7870 recall@top3: 1.0000 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.3556 loss_action_cls: 0.0465 2023/03/10 21:58:42 - mmengine - INFO - Epoch(train) [7][2280/4451] lr: 2.8958e-06 eta: 11:25:29 time: 0.5957 data_time: 0.0128 memory: 51970 grad_norm: 0.1368 loss: 0.0424 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.6852 recall@top3: 0.8889 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0424 2023/03/10 21:58:50 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 21:58:54 - mmengine - INFO - Epoch(train) [7][2300/4451] lr: 2.8954e-06 eta: 11:25:13 time: 0.6338 data_time: 0.1295 memory: 51970 grad_norm: 0.1346 loss: 0.0455 recall@thr=0.5: 0.7772 prec@thr=0.5: 0.8947 recall@top3: 0.8088 prec@top3: 0.7368 recall@top5: 0.9167 prec@top5: 0.5053 loss_action_cls: 0.0455 2023/03/10 21:59:08 - mmengine - INFO - Epoch(train) [7][2320/4451] lr: 2.8950e-06 eta: 11:24:59 time: 0.6922 data_time: 0.0198 memory: 51970 grad_norm: 0.1288 loss: 0.0408 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.6491 recall@top3: 0.7895 prec@top3: 0.6140 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0408 2023/03/10 21:59:21 - mmengine - INFO - Epoch(train) [7][2340/4451] lr: 2.8945e-06 eta: 11:24:44 time: 0.6314 data_time: 0.0231 memory: 51970 grad_norm: 0.1371 loss: 0.0462 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6354 recall@top3: 0.7708 prec@top3: 0.5278 recall@top5: 0.8056 prec@top5: 0.3417 loss_action_cls: 0.0462 2023/03/10 21:59:33 - mmengine - INFO - Epoch(train) [7][2360/4451] lr: 2.8941e-06 eta: 11:24:27 time: 0.6228 data_time: 0.0516 memory: 51970 grad_norm: 0.1366 loss: 0.0409 recall@thr=0.5: 0.5720 prec@thr=0.5: 0.6894 recall@top3: 0.7955 prec@top3: 0.6515 recall@top5: 0.9735 prec@top5: 0.5091 loss_action_cls: 0.0409 2023/03/10 21:59:46 - mmengine - INFO - Epoch(train) [7][2380/4451] lr: 2.8936e-06 eta: 11:24:11 time: 0.6237 data_time: 0.0182 memory: 51970 grad_norm: 0.1328 loss: 0.0443 recall@thr=0.5: 0.5933 prec@thr=0.5: 0.7333 recall@top3: 0.8200 prec@top3: 0.6667 recall@top5: 0.9600 prec@top5: 0.4880 loss_action_cls: 0.0443 2023/03/10 21:59:58 - mmengine - INFO - Epoch(train) [7][2400/4451] lr: 2.8932e-06 eta: 11:23:55 time: 0.6253 data_time: 0.0118 memory: 51970 grad_norm: 0.1340 loss: 0.0397 recall@thr=0.5: 0.6051 prec@thr=0.5: 0.7717 recall@top3: 0.7246 prec@top3: 0.6957 recall@top5: 0.9239 prec@top5: 0.5478 loss_action_cls: 0.0397 2023/03/10 22:00:10 - mmengine - INFO - Epoch(train) [7][2420/4451] lr: 2.8927e-06 eta: 11:23:38 time: 0.5956 data_time: 0.0235 memory: 51970 grad_norm: 0.1349 loss: 0.0428 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7583 recall@top3: 0.8875 prec@top3: 0.7000 recall@top5: 0.9500 prec@top5: 0.4600 loss_action_cls: 0.0428 2023/03/10 22:00:25 - mmengine - INFO - Epoch(train) [7][2440/4451] lr: 2.8923e-06 eta: 11:23:25 time: 0.7123 data_time: 0.0128 memory: 51970 grad_norm: 0.1320 loss: 0.0455 recall@thr=0.5: 0.7926 prec@thr=0.5: 0.8148 recall@top3: 0.8815 prec@top3: 0.8148 recall@top5: 1.0000 prec@top5: 0.5889 loss_action_cls: 0.0455 2023/03/10 22:00:36 - mmengine - INFO - Epoch(train) [7][2460/4451] lr: 2.8919e-06 eta: 11:23:07 time: 0.5801 data_time: 0.0127 memory: 51970 grad_norm: 0.1310 loss: 0.0428 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.8377 recall@top3: 0.8026 prec@top3: 0.7368 recall@top5: 0.9342 prec@top5: 0.5158 loss_action_cls: 0.0428 2023/03/10 22:00:50 - mmengine - INFO - Epoch(train) [7][2480/4451] lr: 2.8914e-06 eta: 11:22:54 time: 0.7092 data_time: 0.0118 memory: 51970 grad_norm: 0.1341 loss: 0.0463 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.7028 recall@top3: 0.7428 prec@top3: 0.7222 recall@top5: 0.8856 prec@top5: 0.5400 loss_action_cls: 0.0463 2023/03/10 22:01:02 - mmengine - INFO - Epoch(train) [7][2500/4451] lr: 2.8910e-06 eta: 11:22:37 time: 0.6020 data_time: 0.0136 memory: 51970 grad_norm: 0.1324 loss: 0.0401 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.7000 recall@top3: 0.8667 prec@top3: 0.6500 recall@top5: 0.9667 prec@top5: 0.4300 loss_action_cls: 0.0401 2023/03/10 22:01:16 - mmengine - INFO - Epoch(train) [7][2520/4451] lr: 2.8905e-06 eta: 11:22:23 time: 0.6717 data_time: 0.0125 memory: 51970 grad_norm: 0.1393 loss: 0.0443 recall@thr=0.5: 0.5013 prec@thr=0.5: 0.6007 recall@top3: 0.6680 prec@top3: 0.6133 recall@top5: 0.7867 prec@top5: 0.4560 loss_action_cls: 0.0443 2023/03/10 22:01:28 - mmengine - INFO - Epoch(train) [7][2540/4451] lr: 2.8901e-06 eta: 11:22:05 time: 0.5916 data_time: 0.0122 memory: 51970 grad_norm: 0.1342 loss: 0.0444 recall@thr=0.5: 0.3833 prec@thr=0.5: 0.4233 recall@top3: 0.6767 prec@top3: 0.5067 recall@top5: 0.7767 prec@top5: 0.3520 loss_action_cls: 0.0444 2023/03/10 22:01:41 - mmengine - INFO - Epoch(train) [7][2560/4451] lr: 2.8896e-06 eta: 11:21:50 time: 0.6506 data_time: 0.0130 memory: 51970 grad_norm: 0.1254 loss: 0.0462 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6825 recall@top3: 0.7341 prec@top3: 0.5556 recall@top5: 0.9286 prec@top5: 0.4476 loss_action_cls: 0.0462 2023/03/10 22:01:53 - mmengine - INFO - Epoch(train) [7][2580/4451] lr: 2.8892e-06 eta: 11:21:35 time: 0.6356 data_time: 0.0133 memory: 51970 grad_norm: 0.1359 loss: 0.0416 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7944 recall@top3: 0.8667 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0416 2023/03/10 22:02:07 - mmengine - INFO - Epoch(train) [7][2600/4451] lr: 2.8887e-06 eta: 11:21:21 time: 0.6730 data_time: 0.0127 memory: 51970 grad_norm: 0.1420 loss: 0.0454 recall@thr=0.5: 0.6184 prec@thr=0.5: 0.6908 recall@top3: 0.7640 prec@top3: 0.6579 recall@top5: 0.9610 prec@top5: 0.5158 loss_action_cls: 0.0454 2023/03/10 22:02:19 - mmengine - INFO - Epoch(train) [7][2620/4451] lr: 2.8882e-06 eta: 11:21:03 time: 0.5992 data_time: 0.0120 memory: 51970 grad_norm: 0.1362 loss: 0.0421 recall@thr=0.5: 0.5136 prec@thr=0.5: 0.7611 recall@top3: 0.6955 prec@top3: 0.7879 recall@top5: 0.9571 prec@top5: 0.6545 loss_action_cls: 0.0421 2023/03/10 22:02:32 - mmengine - INFO - Epoch(train) [7][2640/4451] lr: 2.8878e-06 eta: 11:20:48 time: 0.6481 data_time: 0.0139 memory: 51970 grad_norm: 0.1338 loss: 0.0446 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7167 recall@top3: 0.8917 prec@top3: 0.4833 recall@top5: 0.8917 prec@top5: 0.2900 loss_action_cls: 0.0446 2023/03/10 22:02:43 - mmengine - INFO - Epoch(train) [7][2660/4451] lr: 2.8873e-06 eta: 11:20:30 time: 0.5780 data_time: 0.0702 memory: 51970 grad_norm: 0.1345 loss: 0.0468 recall@thr=0.5: 0.7241 prec@thr=0.5: 0.6494 recall@top3: 0.8989 prec@top3: 0.6667 recall@top5: 0.9759 prec@top5: 0.4483 loss_action_cls: 0.0468 2023/03/10 22:02:58 - mmengine - INFO - Epoch(train) [7][2680/4451] lr: 2.8869e-06 eta: 11:20:19 time: 0.7527 data_time: 0.2636 memory: 51970 grad_norm: 0.1304 loss: 0.0468 recall@thr=0.5: 0.7288 prec@thr=0.5: 0.5841 recall@top3: 0.7288 prec@top3: 0.6061 recall@top5: 0.9136 prec@top5: 0.4727 loss_action_cls: 0.0468 2023/03/10 22:03:10 - mmengine - INFO - Epoch(train) [7][2700/4451] lr: 2.8864e-06 eta: 11:20:01 time: 0.5640 data_time: 0.1316 memory: 51970 grad_norm: 0.1287 loss: 0.0398 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8810 recall@top3: 0.9286 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0398 2023/03/10 22:03:24 - mmengine - INFO - Epoch(train) [7][2720/4451] lr: 2.8860e-06 eta: 11:19:48 time: 0.7171 data_time: 0.2556 memory: 51970 grad_norm: 0.1342 loss: 0.0458 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.6711 recall@top3: 0.8333 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0458 2023/03/10 22:03:35 - mmengine - INFO - Epoch(train) [7][2740/4451] lr: 2.8855e-06 eta: 11:19:29 time: 0.5496 data_time: 0.1251 memory: 51970 grad_norm: 0.1392 loss: 0.0469 recall@thr=0.5: 0.4877 prec@thr=0.5: 0.6728 recall@top3: 0.7444 prec@top3: 0.6296 recall@top5: 0.8660 prec@top5: 0.4519 loss_action_cls: 0.0469 2023/03/10 22:03:47 - mmengine - INFO - Epoch(train) [7][2760/4451] lr: 2.8850e-06 eta: 11:19:13 time: 0.6156 data_time: 0.1917 memory: 51970 grad_norm: 0.1298 loss: 0.0381 recall@thr=0.5: 0.6690 prec@thr=0.5: 0.7529 recall@top3: 0.7776 prec@top3: 0.5862 recall@top5: 0.8983 prec@top5: 0.4414 loss_action_cls: 0.0381 2023/03/10 22:04:01 - mmengine - INFO - Epoch(train) [7][2780/4451] lr: 2.8846e-06 eta: 11:18:59 time: 0.6744 data_time: 0.1469 memory: 51970 grad_norm: 0.1303 loss: 0.0437 recall@thr=0.5: 0.5375 prec@thr=0.5: 0.5750 recall@top3: 0.7917 prec@top3: 0.5167 recall@top5: 0.8833 prec@top5: 0.3500 loss_action_cls: 0.0437 2023/03/10 22:04:13 - mmengine - INFO - Epoch(train) [7][2800/4451] lr: 2.8841e-06 eta: 11:18:42 time: 0.6104 data_time: 0.0422 memory: 51970 grad_norm: 0.1320 loss: 0.0445 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7667 recall@top3: 0.8778 prec@top3: 0.5556 recall@top5: 0.9667 prec@top5: 0.3600 loss_action_cls: 0.0445 2023/03/10 22:04:25 - mmengine - INFO - Epoch(train) [7][2820/4451] lr: 2.8836e-06 eta: 11:18:25 time: 0.5957 data_time: 0.1242 memory: 51970 grad_norm: 0.1297 loss: 0.0389 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8981 recall@top3: 0.8333 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0389 2023/03/10 22:04:39 - mmengine - INFO - Epoch(train) [7][2840/4451] lr: 2.8832e-06 eta: 11:18:11 time: 0.6828 data_time: 0.1247 memory: 51970 grad_norm: 0.1314 loss: 0.0468 recall@thr=0.5: 0.4283 prec@thr=0.5: 0.7250 recall@top3: 0.7200 prec@top3: 0.6333 recall@top5: 0.8317 prec@top5: 0.4500 loss_action_cls: 0.0468 2023/03/10 22:04:51 - mmengine - INFO - Epoch(train) [7][2860/4451] lr: 2.8827e-06 eta: 11:17:54 time: 0.6032 data_time: 0.1254 memory: 51970 grad_norm: 0.1332 loss: 0.0423 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.5882 recall@top3: 1.0000 prec@top3: 0.4902 recall@top5: 1.0000 prec@top5: 0.2941 loss_action_cls: 0.0423 2023/03/10 22:05:03 - mmengine - INFO - Epoch(train) [7][2880/4451] lr: 2.8822e-06 eta: 11:17:38 time: 0.6198 data_time: 0.0899 memory: 51970 grad_norm: 0.1316 loss: 0.0391 recall@thr=0.5: 0.6696 prec@thr=0.5: 0.6488 recall@top3: 0.7411 prec@top3: 0.5595 recall@top5: 0.8244 prec@top5: 0.3714 loss_action_cls: 0.0391 2023/03/10 22:05:16 - mmengine - INFO - Epoch(train) [7][2900/4451] lr: 2.8817e-06 eta: 11:17:23 time: 0.6517 data_time: 0.1696 memory: 51970 grad_norm: 0.1417 loss: 0.0466 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8833 recall@top3: 0.8667 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0466 2023/03/10 22:05:29 - mmengine - INFO - Epoch(train) [7][2920/4451] lr: 2.8813e-06 eta: 11:17:06 time: 0.6203 data_time: 0.1568 memory: 51970 grad_norm: 0.1355 loss: 0.0391 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.7843 recall@top3: 0.7510 prec@top3: 0.7255 recall@top5: 0.9882 prec@top5: 0.5412 loss_action_cls: 0.0391 2023/03/10 22:05:40 - mmengine - INFO - Epoch(train) [7][2940/4451] lr: 2.8808e-06 eta: 11:16:49 time: 0.5832 data_time: 0.1322 memory: 51970 grad_norm: 0.1354 loss: 0.0437 recall@thr=0.5: 0.5589 prec@thr=0.5: 0.8056 recall@top3: 0.7567 prec@top3: 0.7111 recall@top5: 0.9506 prec@top5: 0.5467 loss_action_cls: 0.0437 2023/03/10 22:05:52 - mmengine - INFO - Epoch(train) [7][2960/4451] lr: 2.8803e-06 eta: 11:16:32 time: 0.6110 data_time: 0.1086 memory: 51970 grad_norm: 0.1351 loss: 0.0400 recall@thr=0.5: 0.6442 prec@thr=0.5: 0.6814 recall@top3: 0.7885 prec@top3: 0.7179 recall@top5: 0.9135 prec@top5: 0.5077 loss_action_cls: 0.0400 2023/03/10 22:06:05 - mmengine - INFO - Epoch(train) [7][2980/4451] lr: 2.8798e-06 eta: 11:16:17 time: 0.6373 data_time: 0.0122 memory: 51970 grad_norm: 0.1388 loss: 0.0448 recall@thr=0.5: 0.6567 prec@thr=0.5: 0.7107 recall@top3: 0.7167 prec@top3: 0.6800 recall@top5: 0.9467 prec@top5: 0.5520 loss_action_cls: 0.0448 2023/03/10 22:06:18 - mmengine - INFO - Epoch(train) [7][3000/4451] lr: 2.8794e-06 eta: 11:16:01 time: 0.6359 data_time: 0.0132 memory: 51970 grad_norm: 0.1321 loss: 0.0457 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.7368 recall@top3: 0.7982 prec@top3: 0.7018 recall@top5: 0.9474 prec@top5: 0.5158 loss_action_cls: 0.0457 2023/03/10 22:06:30 - mmengine - INFO - Epoch(train) [7][3020/4451] lr: 2.8789e-06 eta: 11:15:44 time: 0.6057 data_time: 0.0289 memory: 51970 grad_norm: 0.1368 loss: 0.0428 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.7222 recall@top3: 0.8148 prec@top3: 0.6667 recall@top5: 0.9630 prec@top5: 0.4778 loss_action_cls: 0.0428 2023/03/10 22:06:43 - mmengine - INFO - Epoch(train) [7][3040/4451] lr: 2.8784e-06 eta: 11:15:29 time: 0.6509 data_time: 0.0136 memory: 51970 grad_norm: 0.1427 loss: 0.0410 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6215 recall@top3: 0.6583 prec@top3: 0.6528 recall@top5: 0.8750 prec@top5: 0.5500 loss_action_cls: 0.0410 2023/03/10 22:06:57 - mmengine - INFO - Epoch(train) [7][3060/4451] lr: 2.8779e-06 eta: 11:15:15 time: 0.6756 data_time: 0.0117 memory: 51970 grad_norm: 0.1346 loss: 0.0389 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7308 recall@top3: 0.8077 prec@top3: 0.7179 recall@top5: 0.9615 prec@top5: 0.5385 loss_action_cls: 0.0389 2023/03/10 22:07:09 - mmengine - INFO - Epoch(train) [7][3080/4451] lr: 2.8774e-06 eta: 11:15:00 time: 0.6365 data_time: 0.0131 memory: 51970 grad_norm: 0.1301 loss: 0.0400 recall@thr=0.5: 0.7386 prec@thr=0.5: 0.8333 recall@top3: 0.7211 prec@top3: 0.6316 recall@top5: 0.8807 prec@top5: 0.4842 loss_action_cls: 0.0400 2023/03/10 22:07:21 - mmengine - INFO - Epoch(train) [7][3100/4451] lr: 2.8769e-06 eta: 11:14:42 time: 0.5792 data_time: 0.0123 memory: 51970 grad_norm: 0.1313 loss: 0.0478 recall@thr=0.5: 0.6553 prec@thr=0.5: 0.7955 recall@top3: 0.8788 prec@top3: 0.7121 recall@top5: 0.9470 prec@top5: 0.4818 loss_action_cls: 0.0478 2023/03/10 22:07:35 - mmengine - INFO - Epoch(train) [7][3120/4451] lr: 2.8765e-06 eta: 11:14:29 time: 0.6972 data_time: 0.0136 memory: 51970 grad_norm: 0.1281 loss: 0.0397 recall@thr=0.5: 0.6136 prec@thr=0.5: 0.6970 recall@top3: 0.8333 prec@top3: 0.5455 recall@top5: 0.9697 prec@top5: 0.4000 loss_action_cls: 0.0397 2023/03/10 22:07:46 - mmengine - INFO - Epoch(train) [7][3140/4451] lr: 2.8760e-06 eta: 11:14:11 time: 0.5698 data_time: 0.0119 memory: 51970 grad_norm: 0.1363 loss: 0.0441 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.9417 recall@top3: 0.8292 prec@top3: 0.6833 recall@top5: 0.9250 prec@top5: 0.4800 loss_action_cls: 0.0441 2023/03/10 22:07:59 - mmengine - INFO - Epoch(train) [7][3160/4451] lr: 2.8755e-06 eta: 11:13:55 time: 0.6457 data_time: 0.0146 memory: 51970 grad_norm: 0.1362 loss: 0.0423 recall@thr=0.5: 0.5647 prec@thr=0.5: 0.7147 recall@top3: 0.7013 prec@top3: 0.6538 recall@top5: 0.8519 prec@top5: 0.4923 loss_action_cls: 0.0423 2023/03/10 22:08:12 - mmengine - INFO - Epoch(train) [7][3180/4451] lr: 2.8750e-06 eta: 11:13:39 time: 0.6187 data_time: 0.0139 memory: 51970 grad_norm: 0.1306 loss: 0.0386 recall@thr=0.5: 0.6635 prec@thr=0.5: 0.7179 recall@top3: 0.7724 prec@top3: 0.6538 recall@top5: 0.9231 prec@top5: 0.4538 loss_action_cls: 0.0386 2023/03/10 22:08:23 - mmengine - INFO - Epoch(train) [7][3200/4451] lr: 2.8745e-06 eta: 11:13:21 time: 0.5741 data_time: 0.0140 memory: 51970 grad_norm: 0.1358 loss: 0.0481 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8500 recall@top3: 0.8125 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5300 loss_action_cls: 0.0481 2023/03/10 22:08:36 - mmengine - INFO - Epoch(train) [7][3220/4451] lr: 2.8740e-06 eta: 11:13:06 time: 0.6537 data_time: 0.0124 memory: 51970 grad_norm: 0.1289 loss: 0.0410 recall@thr=0.5: 0.5516 prec@thr=0.5: 0.6429 recall@top3: 0.7897 prec@top3: 0.6032 recall@top5: 0.8690 prec@top5: 0.4095 loss_action_cls: 0.0410 2023/03/10 22:08:48 - mmengine - INFO - Epoch(train) [7][3240/4451] lr: 2.8735e-06 eta: 11:12:49 time: 0.5993 data_time: 0.0121 memory: 51970 grad_norm: 0.1375 loss: 0.0397 recall@thr=0.5: 0.8065 prec@thr=0.5: 0.8148 recall@top3: 0.8444 prec@top3: 0.8333 recall@top5: 0.9056 prec@top5: 0.5556 loss_action_cls: 0.0397 2023/03/10 22:09:01 - mmengine - INFO - Epoch(train) [7][3260/4451] lr: 2.8730e-06 eta: 11:12:34 time: 0.6541 data_time: 0.0136 memory: 51970 grad_norm: 0.1310 loss: 0.0391 recall@thr=0.5: 0.7957 prec@thr=0.5: 0.7849 recall@top3: 0.8710 prec@top3: 0.6667 recall@top5: 0.9677 prec@top5: 0.4581 loss_action_cls: 0.0391 2023/03/10 22:09:14 - mmengine - INFO - Epoch(train) [7][3280/4451] lr: 2.8725e-06 eta: 11:12:19 time: 0.6278 data_time: 0.0150 memory: 51970 grad_norm: 0.1248 loss: 0.0385 recall@thr=0.5: 0.5660 prec@thr=0.5: 0.5903 recall@top3: 0.7500 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4500 loss_action_cls: 0.0385 2023/03/10 22:09:23 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 22:09:26 - mmengine - INFO - Epoch(train) [7][3300/4451] lr: 2.8720e-06 eta: 11:12:02 time: 0.6131 data_time: 0.0130 memory: 51970 grad_norm: 0.1435 loss: 0.0424 recall@thr=0.5: 0.4679 prec@thr=0.5: 0.6090 recall@top3: 0.7756 prec@top3: 0.5000 recall@top5: 0.8333 prec@top5: 0.3308 loss_action_cls: 0.0424 2023/03/10 22:09:39 - mmengine - INFO - Epoch(train) [7][3320/4451] lr: 2.8715e-06 eta: 11:11:48 time: 0.6681 data_time: 0.0135 memory: 51970 grad_norm: 0.1388 loss: 0.0423 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7143 recall@top3: 0.7143 prec@top3: 0.4524 recall@top5: 0.9286 prec@top5: 0.3857 loss_action_cls: 0.0423 2023/03/10 22:09:52 - mmengine - INFO - Epoch(train) [7][3340/4451] lr: 2.8710e-06 eta: 11:11:33 time: 0.6397 data_time: 0.0142 memory: 51970 grad_norm: 0.1360 loss: 0.0457 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.8125 recall@top3: 0.8500 prec@top3: 0.7000 recall@top5: 0.9250 prec@top5: 0.4500 loss_action_cls: 0.0457 2023/03/10 22:10:05 - mmengine - INFO - Epoch(train) [7][3360/4451] lr: 2.8705e-06 eta: 11:11:17 time: 0.6338 data_time: 0.0120 memory: 51970 grad_norm: 0.1344 loss: 0.0403 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.9074 recall@top3: 0.8935 prec@top3: 0.6296 recall@top5: 0.9074 prec@top5: 0.3889 loss_action_cls: 0.0403 2023/03/10 22:10:16 - mmengine - INFO - Epoch(train) [7][3380/4451] lr: 2.8700e-06 eta: 11:10:59 time: 0.5771 data_time: 0.0127 memory: 51970 grad_norm: 0.1316 loss: 0.0450 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8250 recall@top3: 0.8500 prec@top3: 0.5833 recall@top5: 0.9500 prec@top5: 0.3800 loss_action_cls: 0.0450 2023/03/10 22:10:30 - mmengine - INFO - Epoch(train) [7][3400/4451] lr: 2.8695e-06 eta: 11:10:46 time: 0.6912 data_time: 0.0129 memory: 51970 grad_norm: 0.1277 loss: 0.0434 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6667 recall@top3: 0.7583 prec@top3: 0.6000 recall@top5: 0.8000 prec@top5: 0.3867 loss_action_cls: 0.0434 2023/03/10 22:10:42 - mmengine - INFO - Epoch(train) [7][3420/4451] lr: 2.8690e-06 eta: 11:10:29 time: 0.6019 data_time: 0.0134 memory: 51970 grad_norm: 0.1355 loss: 0.0449 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6833 recall@top3: 0.7889 prec@top3: 0.5556 recall@top5: 0.8444 prec@top5: 0.3667 loss_action_cls: 0.0449 2023/03/10 22:10:54 - mmengine - INFO - Epoch(train) [7][3440/4451] lr: 2.8685e-06 eta: 11:10:12 time: 0.5860 data_time: 0.0125 memory: 51970 grad_norm: 0.1313 loss: 0.0451 recall@thr=0.5: 0.6392 prec@thr=0.5: 0.8431 recall@top3: 0.6980 prec@top3: 0.6863 recall@top5: 0.9020 prec@top5: 0.5294 loss_action_cls: 0.0451 2023/03/10 22:11:07 - mmengine - INFO - Epoch(train) [7][3460/4451] lr: 2.8680e-06 eta: 11:09:56 time: 0.6366 data_time: 0.0140 memory: 51970 grad_norm: 0.1403 loss: 0.0384 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8667 recall@top3: 0.9667 prec@top3: 0.8000 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0384 2023/03/10 22:11:20 - mmengine - INFO - Epoch(train) [7][3480/4451] lr: 2.8675e-06 eta: 11:09:42 time: 0.6854 data_time: 0.0125 memory: 51970 grad_norm: 0.1340 loss: 0.0448 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4107 recall@top3: 0.9286 prec@top3: 0.5952 recall@top5: 0.9286 prec@top5: 0.3571 loss_action_cls: 0.0448 2023/03/10 22:11:32 - mmengine - INFO - Epoch(train) [7][3500/4451] lr: 2.8670e-06 eta: 11:09:24 time: 0.5586 data_time: 0.0125 memory: 51970 grad_norm: 0.1308 loss: 0.0380 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7976 recall@top3: 0.8750 prec@top3: 0.5714 recall@top5: 1.0000 prec@top5: 0.3857 loss_action_cls: 0.0380 2023/03/10 22:11:44 - mmengine - INFO - Epoch(train) [7][3520/4451] lr: 2.8665e-06 eta: 11:09:07 time: 0.6063 data_time: 0.0135 memory: 51970 grad_norm: 0.1362 loss: 0.0429 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.6632 recall@top3: 0.8681 prec@top3: 0.5833 recall@top5: 0.9132 prec@top5: 0.3833 loss_action_cls: 0.0429 2023/03/10 22:11:57 - mmengine - INFO - Epoch(train) [7][3540/4451] lr: 2.8659e-06 eta: 11:08:53 time: 0.6669 data_time: 0.0131 memory: 51970 grad_norm: 0.1350 loss: 0.0368 recall@thr=0.5: 0.5737 prec@thr=0.5: 0.5877 recall@top3: 0.8825 prec@top3: 0.6316 recall@top5: 0.9632 prec@top5: 0.4211 loss_action_cls: 0.0368 2023/03/10 22:12:10 - mmengine - INFO - Epoch(train) [7][3560/4451] lr: 2.8654e-06 eta: 11:08:39 time: 0.6627 data_time: 0.0138 memory: 51970 grad_norm: 0.1308 loss: 0.0401 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.6961 recall@top3: 0.8333 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0401 2023/03/10 22:12:23 - mmengine - INFO - Epoch(train) [7][3580/4451] lr: 2.8649e-06 eta: 11:08:24 time: 0.6521 data_time: 0.0134 memory: 51970 grad_norm: 0.1376 loss: 0.0406 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.6667 recall@top3: 0.8857 prec@top3: 0.6762 recall@top5: 0.9714 prec@top5: 0.4400 loss_action_cls: 0.0406 2023/03/10 22:12:34 - mmengine - INFO - Epoch(train) [7][3600/4451] lr: 2.8644e-06 eta: 11:08:05 time: 0.5386 data_time: 0.0126 memory: 51970 grad_norm: 0.1319 loss: 0.0375 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8125 recall@top3: 0.8281 prec@top3: 0.6042 recall@top5: 0.9479 prec@top5: 0.4250 loss_action_cls: 0.0375 2023/03/10 22:12:46 - mmengine - INFO - Epoch(train) [7][3620/4451] lr: 2.8639e-06 eta: 11:07:48 time: 0.6150 data_time: 0.0126 memory: 51970 grad_norm: 0.1217 loss: 0.0410 recall@thr=0.5: 0.6897 prec@thr=0.5: 0.6667 recall@top3: 0.8448 prec@top3: 0.5287 recall@top5: 0.8966 prec@top5: 0.3310 loss_action_cls: 0.0410 2023/03/10 22:12:59 - mmengine - INFO - Epoch(train) [7][3640/4451] lr: 2.8634e-06 eta: 11:07:33 time: 0.6435 data_time: 0.0130 memory: 51970 grad_norm: 0.1358 loss: 0.0425 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.8025 recall@top3: 0.7099 prec@top3: 0.6543 recall@top5: 0.8611 prec@top5: 0.4963 loss_action_cls: 0.0425 2023/03/10 22:13:11 - mmengine - INFO - Epoch(train) [7][3660/4451] lr: 2.8628e-06 eta: 11:07:16 time: 0.6012 data_time: 0.0126 memory: 51970 grad_norm: 0.1359 loss: 0.0392 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8077 recall@top3: 0.7462 prec@top3: 0.5128 recall@top5: 0.8282 prec@top5: 0.3692 loss_action_cls: 0.0392 2023/03/10 22:13:24 - mmengine - INFO - Epoch(train) [7][3680/4451] lr: 2.8623e-06 eta: 11:07:01 time: 0.6511 data_time: 0.0145 memory: 51970 grad_norm: 0.1362 loss: 0.0409 recall@thr=0.5: 0.7470 prec@thr=0.5: 0.7679 recall@top3: 0.8363 prec@top3: 0.7738 recall@top5: 0.9167 prec@top5: 0.5286 loss_action_cls: 0.0409 2023/03/10 22:13:38 - mmengine - INFO - Epoch(train) [7][3700/4451] lr: 2.8618e-06 eta: 11:06:48 time: 0.6773 data_time: 0.0152 memory: 51970 grad_norm: 0.1280 loss: 0.0435 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7255 recall@top3: 0.8529 prec@top3: 0.5882 recall@top5: 0.8922 prec@top5: 0.3765 loss_action_cls: 0.0435 2023/03/10 22:13:51 - mmengine - INFO - Epoch(train) [7][3720/4451] lr: 2.8613e-06 eta: 11:06:34 time: 0.6794 data_time: 0.0137 memory: 51970 grad_norm: 0.1312 loss: 0.0436 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8095 recall@top3: 0.8095 prec@top3: 0.6190 recall@top5: 0.8929 prec@top5: 0.4143 loss_action_cls: 0.0436 2023/03/10 22:14:03 - mmengine - INFO - Epoch(train) [7][3740/4451] lr: 2.8608e-06 eta: 11:06:15 time: 0.5545 data_time: 0.0108 memory: 51970 grad_norm: 0.1328 loss: 0.0468 recall@thr=0.5: 0.4365 prec@thr=0.5: 0.5714 recall@top3: 0.5635 prec@top3: 0.4603 recall@top5: 0.8175 prec@top5: 0.4190 loss_action_cls: 0.0468 2023/03/10 22:14:15 - mmengine - INFO - Epoch(train) [7][3760/4451] lr: 2.8602e-06 eta: 11:06:00 time: 0.6349 data_time: 0.0137 memory: 51970 grad_norm: 0.1335 loss: 0.0409 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7130 recall@top3: 0.7685 prec@top3: 0.5926 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0409 2023/03/10 22:14:27 - mmengine - INFO - Epoch(train) [7][3780/4451] lr: 2.8597e-06 eta: 11:05:43 time: 0.6045 data_time: 0.0695 memory: 51970 grad_norm: 0.1304 loss: 0.0419 recall@thr=0.5: 0.8564 prec@thr=0.5: 0.8558 recall@top3: 0.8667 prec@top3: 0.8205 recall@top5: 0.9744 prec@top5: 0.5769 loss_action_cls: 0.0419 2023/03/10 22:14:40 - mmengine - INFO - Epoch(train) [7][3800/4451] lr: 2.8592e-06 eta: 11:05:28 time: 0.6508 data_time: 0.1640 memory: 51970 grad_norm: 0.1325 loss: 0.0397 recall@thr=0.5: 0.7727 prec@thr=0.5: 0.8333 recall@top3: 0.7879 prec@top3: 0.7424 recall@top5: 0.9659 prec@top5: 0.5455 loss_action_cls: 0.0397 2023/03/10 22:14:53 - mmengine - INFO - Epoch(train) [7][3820/4451] lr: 2.8586e-06 eta: 11:05:12 time: 0.6264 data_time: 0.0373 memory: 51970 grad_norm: 0.1362 loss: 0.0434 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7843 recall@top3: 0.8922 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0434 2023/03/10 22:15:05 - mmengine - INFO - Epoch(train) [7][3840/4451] lr: 2.8581e-06 eta: 11:04:55 time: 0.5908 data_time: 0.0145 memory: 51970 grad_norm: 0.1289 loss: 0.0387 recall@thr=0.5: 0.6237 prec@thr=0.5: 0.7719 recall@top3: 0.7825 prec@top3: 0.7368 recall@top5: 0.8509 prec@top5: 0.5053 loss_action_cls: 0.0387 2023/03/10 22:15:18 - mmengine - INFO - Epoch(train) [7][3860/4451] lr: 2.8576e-06 eta: 11:04:41 time: 0.6695 data_time: 0.0395 memory: 51970 grad_norm: 0.1323 loss: 0.0396 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.8750 recall@top3: 0.8646 prec@top3: 0.5833 recall@top5: 0.9271 prec@top5: 0.3750 loss_action_cls: 0.0396 2023/03/10 22:15:30 - mmengine - INFO - Epoch(train) [7][3880/4451] lr: 2.8570e-06 eta: 11:04:25 time: 0.6187 data_time: 0.1294 memory: 51970 grad_norm: 0.1279 loss: 0.0419 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8083 recall@top3: 0.8417 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0419 2023/03/10 22:15:44 - mmengine - INFO - Epoch(train) [7][3900/4451] lr: 2.8565e-06 eta: 11:04:11 time: 0.6825 data_time: 0.0823 memory: 51970 grad_norm: 0.1305 loss: 0.0442 recall@thr=0.5: 0.5568 prec@thr=0.5: 0.7008 recall@top3: 0.8523 prec@top3: 0.6364 recall@top5: 0.9205 prec@top5: 0.4182 loss_action_cls: 0.0442 2023/03/10 22:15:56 - mmengine - INFO - Epoch(train) [7][3920/4451] lr: 2.8560e-06 eta: 11:03:54 time: 0.5958 data_time: 0.1052 memory: 51970 grad_norm: 0.1198 loss: 0.0415 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.9020 recall@top3: 0.9020 prec@top3: 0.7059 recall@top5: 0.9706 prec@top5: 0.4706 loss_action_cls: 0.0415 2023/03/10 22:16:09 - mmengine - INFO - Epoch(train) [7][3940/4451] lr: 2.8554e-06 eta: 11:03:40 time: 0.6653 data_time: 0.1022 memory: 51970 grad_norm: 0.1339 loss: 0.0431 recall@thr=0.5: 0.7559 prec@thr=0.5: 0.8578 recall@top3: 0.8196 prec@top3: 0.6863 recall@top5: 0.9882 prec@top5: 0.5176 loss_action_cls: 0.0431 2023/03/10 22:16:23 - mmengine - INFO - Epoch(train) [7][3960/4451] lr: 2.8549e-06 eta: 11:03:27 time: 0.7043 data_time: 0.0649 memory: 51970 grad_norm: 0.1316 loss: 0.0443 recall@thr=0.5: 0.5375 prec@thr=0.5: 0.7333 recall@top3: 0.6583 prec@top3: 0.5833 recall@top5: 0.8917 prec@top5: 0.5100 loss_action_cls: 0.0443 2023/03/10 22:16:37 - mmengine - INFO - Epoch(train) [7][3980/4451] lr: 2.8544e-06 eta: 11:03:13 time: 0.6641 data_time: 0.0178 memory: 51970 grad_norm: 0.1345 loss: 0.0411 recall@thr=0.5: 0.7951 prec@thr=0.5: 0.8333 recall@top3: 0.8304 prec@top3: 0.6471 recall@top5: 0.9471 prec@top5: 0.4706 loss_action_cls: 0.0411 2023/03/10 22:16:51 - mmengine - INFO - Epoch(train) [7][4000/4451] lr: 2.8538e-06 eta: 11:03:01 time: 0.7240 data_time: 0.0141 memory: 51970 grad_norm: 0.1368 loss: 0.0448 recall@thr=0.5: 0.6951 prec@thr=0.5: 0.7917 recall@top3: 0.7549 prec@top3: 0.6389 recall@top5: 0.9896 prec@top5: 0.5250 loss_action_cls: 0.0448 2023/03/10 22:17:03 - mmengine - INFO - Epoch(train) [7][4020/4451] lr: 2.8533e-06 eta: 11:02:43 time: 0.5781 data_time: 0.0120 memory: 51970 grad_norm: 0.1377 loss: 0.0413 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7937 recall@top3: 0.9048 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0413 2023/03/10 22:17:17 - mmengine - INFO - Epoch(train) [7][4040/4451] lr: 2.8527e-06 eta: 11:02:31 time: 0.7107 data_time: 0.0128 memory: 51970 grad_norm: 0.1361 loss: 0.0397 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.6765 recall@top3: 0.8284 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4824 loss_action_cls: 0.0397 2023/03/10 22:17:30 - mmengine - INFO - Epoch(train) [7][4060/4451] lr: 2.8522e-06 eta: 11:02:16 time: 0.6450 data_time: 0.0124 memory: 51970 grad_norm: 0.1315 loss: 0.0400 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7157 recall@top3: 0.9314 prec@top3: 0.6471 recall@top5: 0.9510 prec@top5: 0.4000 loss_action_cls: 0.0400 2023/03/10 22:17:42 - mmengine - INFO - Epoch(train) [7][4080/4451] lr: 2.8517e-06 eta: 11:01:59 time: 0.6018 data_time: 0.0175 memory: 51970 grad_norm: 0.1333 loss: 0.0412 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8500 recall@top3: 0.8167 prec@top3: 0.6833 recall@top5: 0.9250 prec@top5: 0.4600 loss_action_cls: 0.0412 2023/03/10 22:17:53 - mmengine - INFO - Epoch(train) [7][4100/4451] lr: 2.8511e-06 eta: 11:01:41 time: 0.5668 data_time: 0.0131 memory: 51970 grad_norm: 0.1338 loss: 0.0467 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.9271 recall@top3: 0.9375 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.4625 loss_action_cls: 0.0467 2023/03/10 22:18:07 - mmengine - INFO - Epoch(train) [7][4120/4451] lr: 2.8506e-06 eta: 11:01:27 time: 0.6717 data_time: 0.0124 memory: 51970 grad_norm: 0.1362 loss: 0.0446 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.8452 recall@top3: 0.6746 prec@top3: 0.6032 recall@top5: 0.9444 prec@top5: 0.5048 loss_action_cls: 0.0446 2023/03/10 22:18:21 - mmengine - INFO - Epoch(train) [7][4140/4451] lr: 2.8500e-06 eta: 11:01:14 time: 0.6954 data_time: 0.0155 memory: 51970 grad_norm: 0.1346 loss: 0.0405 recall@thr=0.5: 0.6447 prec@thr=0.5: 0.6404 recall@top3: 0.7939 prec@top3: 0.5263 recall@top5: 0.8991 prec@top5: 0.3789 loss_action_cls: 0.0405 2023/03/10 22:18:33 - mmengine - INFO - Epoch(train) [7][4160/4451] lr: 2.8495e-06 eta: 11:00:57 time: 0.5944 data_time: 0.0123 memory: 51970 grad_norm: 0.1316 loss: 0.0386 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7667 recall@top3: 0.8800 prec@top3: 0.4667 recall@top5: 0.9200 prec@top5: 0.3040 loss_action_cls: 0.0386 2023/03/10 22:18:46 - mmengine - INFO - Epoch(train) [7][4180/4451] lr: 2.8489e-06 eta: 11:00:44 time: 0.6962 data_time: 0.0128 memory: 51970 grad_norm: 0.1301 loss: 0.0447 recall@thr=0.5: 0.6974 prec@thr=0.5: 0.7719 recall@top3: 0.7588 prec@top3: 0.7018 recall@top5: 0.8860 prec@top5: 0.5158 loss_action_cls: 0.0447 2023/03/10 22:18:59 - mmengine - INFO - Epoch(train) [7][4200/4451] lr: 2.8484e-06 eta: 11:00:29 time: 0.6403 data_time: 0.0143 memory: 51970 grad_norm: 0.1365 loss: 0.0421 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.7318 recall@top3: 0.8240 prec@top3: 0.6458 recall@top5: 0.9115 prec@top5: 0.4375 loss_action_cls: 0.0421 2023/03/10 22:19:12 - mmengine - INFO - Epoch(train) [7][4220/4451] lr: 2.8478e-06 eta: 11:00:13 time: 0.6256 data_time: 0.0129 memory: 51970 grad_norm: 0.1325 loss: 0.0367 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.9091 recall@top3: 0.8182 prec@top3: 0.8485 recall@top5: 0.9848 prec@top5: 0.6000 loss_action_cls: 0.0367 2023/03/10 22:19:23 - mmengine - INFO - Epoch(train) [7][4240/4451] lr: 2.8472e-06 eta: 10:59:55 time: 0.5764 data_time: 0.0111 memory: 51970 grad_norm: 0.1363 loss: 0.0415 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.7826 recall@top3: 0.8333 prec@top3: 0.6522 recall@top5: 0.9167 prec@top5: 0.4435 loss_action_cls: 0.0415 2023/03/10 22:19:36 - mmengine - INFO - Epoch(train) [7][4260/4451] lr: 2.8467e-06 eta: 10:59:40 time: 0.6469 data_time: 0.0132 memory: 51970 grad_norm: 0.1315 loss: 0.0441 recall@thr=0.5: 0.4969 prec@thr=0.5: 0.6111 recall@top3: 0.6481 prec@top3: 0.5802 recall@top5: 0.9537 prec@top5: 0.5037 loss_action_cls: 0.0441 2023/03/10 22:19:48 - mmengine - INFO - Epoch(train) [7][4280/4451] lr: 2.8461e-06 eta: 10:59:23 time: 0.5768 data_time: 0.0118 memory: 51970 grad_norm: 0.1253 loss: 0.0406 recall@thr=0.5: 0.6694 prec@thr=0.5: 0.6556 recall@top3: 0.7528 prec@top3: 0.6444 recall@top5: 0.9583 prec@top5: 0.5067 loss_action_cls: 0.0406 2023/03/10 22:19:57 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 22:20:02 - mmengine - INFO - Epoch(train) [7][4300/4451] lr: 2.8456e-06 eta: 10:59:10 time: 0.7074 data_time: 0.0448 memory: 51970 grad_norm: 0.1300 loss: 0.0454 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.8214 recall@top3: 0.7619 prec@top3: 0.5952 recall@top5: 0.8988 prec@top5: 0.4571 loss_action_cls: 0.0454 2023/03/10 22:20:14 - mmengine - INFO - Epoch(train) [7][4320/4451] lr: 2.8450e-06 eta: 10:58:54 time: 0.6061 data_time: 0.0117 memory: 51970 grad_norm: 0.1273 loss: 0.0421 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.6920 recall@top3: 0.7971 prec@top3: 0.7246 recall@top5: 0.9348 prec@top5: 0.5043 loss_action_cls: 0.0421 2023/03/10 22:20:26 - mmengine - INFO - Epoch(train) [7][4340/4451] lr: 2.8445e-06 eta: 10:58:38 time: 0.6206 data_time: 0.0692 memory: 51970 grad_norm: 0.1350 loss: 0.0418 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.7847 recall@top3: 0.8333 prec@top3: 0.6528 recall@top5: 0.9792 prec@top5: 0.4750 loss_action_cls: 0.0418 2023/03/10 22:20:39 - mmengine - INFO - Epoch(train) [7][4360/4451] lr: 2.8439e-06 eta: 10:58:22 time: 0.6354 data_time: 0.0978 memory: 51970 grad_norm: 0.1279 loss: 0.0399 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8095 recall@top3: 0.7817 prec@top3: 0.6190 recall@top5: 0.9683 prec@top5: 0.4762 loss_action_cls: 0.0399 2023/03/10 22:20:52 - mmengine - INFO - Epoch(train) [7][4380/4451] lr: 2.8433e-06 eta: 10:58:07 time: 0.6367 data_time: 0.0718 memory: 51970 grad_norm: 0.1301 loss: 0.0415 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7647 recall@top3: 0.8922 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0415 2023/03/10 22:21:04 - mmengine - INFO - Epoch(train) [7][4400/4451] lr: 2.8428e-06 eta: 10:57:50 time: 0.5933 data_time: 0.1192 memory: 51970 grad_norm: 0.1236 loss: 0.0356 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.6863 recall@top3: 0.9020 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.4000 loss_action_cls: 0.0356 2023/03/10 22:21:17 - mmengine - INFO - Epoch(train) [7][4420/4451] lr: 2.8422e-06 eta: 10:57:35 time: 0.6384 data_time: 0.2115 memory: 51970 grad_norm: 0.1326 loss: 0.0399 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6000 recall@top3: 0.7000 prec@top3: 0.5000 recall@top5: 0.9333 prec@top5: 0.4200 loss_action_cls: 0.0399 2023/03/10 22:21:28 - mmengine - INFO - Epoch(train) [7][4440/4451] lr: 2.8416e-06 eta: 10:57:17 time: 0.5717 data_time: 0.1460 memory: 51970 grad_norm: 0.1302 loss: 0.0421 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.8333 recall@top3: 0.8772 prec@top3: 0.5789 recall@top5: 0.9123 prec@top5: 0.3684 loss_action_cls: 0.0421 2023/03/10 22:21:33 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 22:21:33 - mmengine - INFO - Epoch(train) [7][4451/4451] lr: 2.8413e-06 eta: 10:57:05 time: 0.5105 data_time: 0.0910 memory: 51970 grad_norm: 0.1354 loss: 0.0464 recall@thr=0.5: 0.5863 prec@thr=0.5: 0.6577 recall@top3: 0.8065 prec@top3: 0.7143 recall@top5: 0.9464 prec@top5: 0.5214 loss_action_cls: 0.0464 2023/03/10 22:21:33 - mmengine - INFO - Saving checkpoint at 7 epochs 2023/03/10 22:21:39 - mmengine - INFO - Epoch(val) [7][ 20/6282] eta: 0:08:36 time: 0.0825 data_time: 0.0366 memory: 2331 2023/03/10 22:21:40 - mmengine - INFO - Epoch(val) [7][ 40/6282] eta: 0:07:10 time: 0.0554 data_time: 0.0108 memory: 2331 2023/03/10 22:21:41 - mmengine - INFO - Epoch(val) [7][ 60/6282] eta: 0:06:40 time: 0.0554 data_time: 0.0124 memory: 2331 2023/03/10 22:21:42 - mmengine - INFO - Epoch(val) [7][ 80/6282] eta: 0:06:16 time: 0.0495 data_time: 0.0066 memory: 2331 2023/03/10 22:21:43 - mmengine - INFO - Epoch(val) [7][ 100/6282] eta: 0:05:57 time: 0.0467 data_time: 0.0038 memory: 2331 2023/03/10 22:21:45 - mmengine - INFO - Epoch(val) [7][ 120/6282] eta: 0:05:59 time: 0.0609 data_time: 0.0072 memory: 2934 2023/03/10 22:21:46 - mmengine - INFO - Epoch(val) [7][ 140/6282] eta: 0:06:01 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/10 22:21:47 - mmengine - INFO - Epoch(val) [7][ 160/6282] eta: 0:06:02 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/10 22:21:48 - mmengine - INFO - Epoch(val) [7][ 180/6282] eta: 0:06:04 time: 0.0631 data_time: 0.0023 memory: 2934 2023/03/10 22:21:50 - mmengine - INFO - Epoch(val) [7][ 200/6282] eta: 0:06:03 time: 0.0607 data_time: 0.0023 memory: 2934 2023/03/10 22:21:51 - mmengine - INFO - Epoch(val) [7][ 220/6282] eta: 0:05:56 time: 0.0487 data_time: 0.0029 memory: 2396 2023/03/10 22:21:52 - mmengine - INFO - Epoch(val) [7][ 240/6282] eta: 0:05:50 time: 0.0498 data_time: 0.0031 memory: 2396 2023/03/10 22:21:53 - mmengine - INFO - Epoch(val) [7][ 260/6282] eta: 0:05:45 time: 0.0494 data_time: 0.0028 memory: 2396 2023/03/10 22:21:54 - mmengine - INFO - Epoch(val) [7][ 280/6282] eta: 0:05:40 time: 0.0493 data_time: 0.0029 memory: 2396 2023/03/10 22:21:55 - mmengine - INFO - Epoch(val) [7][ 300/6282] eta: 0:05:39 time: 0.0560 data_time: 0.0029 memory: 2934 2023/03/10 22:21:56 - mmengine - INFO - Epoch(val) [7][ 320/6282] eta: 0:05:41 time: 0.0646 data_time: 0.0028 memory: 2934 2023/03/10 22:21:57 - mmengine - INFO - Epoch(val) [7][ 340/6282] eta: 0:05:46 time: 0.0750 data_time: 0.0133 memory: 2934 2023/03/10 22:21:59 - mmengine - INFO - Epoch(val) [7][ 360/6282] eta: 0:05:47 time: 0.0643 data_time: 0.0025 memory: 2934 2023/03/10 22:22:00 - mmengine - INFO - Epoch(val) [7][ 380/6282] eta: 0:05:47 time: 0.0643 data_time: 0.0047 memory: 2934 2023/03/10 22:22:02 - mmengine - INFO - Epoch(val) [7][ 400/6282] eta: 0:05:59 time: 0.1019 data_time: 0.0497 memory: 2934 2023/03/10 22:22:03 - mmengine - INFO - Epoch(val) [7][ 420/6282] eta: 0:05:56 time: 0.0568 data_time: 0.0116 memory: 2397 2023/03/10 22:22:04 - mmengine - INFO - Epoch(val) [7][ 440/6282] eta: 0:05:55 time: 0.0609 data_time: 0.0142 memory: 2397 2023/03/10 22:22:06 - mmengine - INFO - Epoch(val) [7][ 460/6282] eta: 0:05:53 time: 0.0582 data_time: 0.0104 memory: 2397 2023/03/10 22:22:07 - mmengine - INFO - Epoch(val) [7][ 480/6282] eta: 0:05:52 time: 0.0591 data_time: 0.0117 memory: 2397 2023/03/10 22:22:08 - mmengine - INFO - Epoch(val) [7][ 500/6282] eta: 0:05:49 time: 0.0564 data_time: 0.0097 memory: 2397 2023/03/10 22:22:09 - mmengine - INFO - Epoch(val) [7][ 520/6282] eta: 0:05:48 time: 0.0598 data_time: 0.0138 memory: 2396 2023/03/10 22:22:10 - mmengine - INFO - Epoch(val) [7][ 540/6282] eta: 0:05:46 time: 0.0579 data_time: 0.0129 memory: 2396 2023/03/10 22:22:12 - mmengine - INFO - Epoch(val) [7][ 560/6282] eta: 0:05:46 time: 0.0669 data_time: 0.0207 memory: 2396 2023/03/10 22:22:13 - mmengine - INFO - Epoch(val) [7][ 580/6282] eta: 0:05:45 time: 0.0598 data_time: 0.0151 memory: 2396 2023/03/10 22:22:14 - mmengine - INFO - Epoch(val) [7][ 600/6282] eta: 0:05:45 time: 0.0645 data_time: 0.0196 memory: 2396 2023/03/10 22:22:15 - mmengine - INFO - Epoch(val) [7][ 620/6282] eta: 0:05:42 time: 0.0535 data_time: 0.0099 memory: 2396 2023/03/10 22:22:16 - mmengine - INFO - Epoch(val) [7][ 640/6282] eta: 0:05:39 time: 0.0480 data_time: 0.0036 memory: 2332 2023/03/10 22:22:17 - mmengine - INFO - Epoch(val) [7][ 660/6282] eta: 0:05:35 time: 0.0478 data_time: 0.0039 memory: 2332 2023/03/10 22:22:18 - mmengine - INFO - Epoch(val) [7][ 680/6282] eta: 0:05:32 time: 0.0479 data_time: 0.0036 memory: 2332 2023/03/10 22:22:19 - mmengine - INFO - Epoch(val) [7][ 700/6282] eta: 0:05:29 time: 0.0475 data_time: 0.0033 memory: 2332 2023/03/10 22:22:21 - mmengine - INFO - Epoch(val) [7][ 720/6282] eta: 0:05:30 time: 0.0755 data_time: 0.0182 memory: 2934 2023/03/10 22:22:23 - mmengine - INFO - Epoch(val) [7][ 740/6282] eta: 0:05:36 time: 0.1017 data_time: 0.0395 memory: 2934 2023/03/10 22:22:24 - mmengine - INFO - Epoch(val) [7][ 760/6282] eta: 0:05:39 time: 0.0919 data_time: 0.0298 memory: 2934 2023/03/10 22:22:26 - mmengine - INFO - Epoch(val) [7][ 780/6282] eta: 0:05:42 time: 0.0910 data_time: 0.0306 memory: 2934 2023/03/10 22:22:28 - mmengine - INFO - Epoch(val) [7][ 800/6282] eta: 0:05:43 time: 0.0820 data_time: 0.0223 memory: 2934 2023/03/10 22:22:29 - mmengine - INFO - Epoch(val) [7][ 820/6282] eta: 0:05:43 time: 0.0681 data_time: 0.0167 memory: 2934 2023/03/10 22:22:30 - mmengine - INFO - Epoch(val) [7][ 840/6282] eta: 0:05:41 time: 0.0600 data_time: 0.0137 memory: 2396 2023/03/10 22:22:32 - mmengine - INFO - Epoch(val) [7][ 860/6282] eta: 0:05:40 time: 0.0644 data_time: 0.0181 memory: 2396 2023/03/10 22:22:33 - mmengine - INFO - Epoch(val) [7][ 880/6282] eta: 0:05:38 time: 0.0572 data_time: 0.0100 memory: 2396 2023/03/10 22:22:34 - mmengine - INFO - Epoch(val) [7][ 900/6282] eta: 0:05:37 time: 0.0638 data_time: 0.0173 memory: 2396 2023/03/10 22:22:35 - mmengine - INFO - Epoch(val) [7][ 920/6282] eta: 0:05:35 time: 0.0596 data_time: 0.0121 memory: 2396 2023/03/10 22:22:37 - mmengine - INFO - Epoch(val) [7][ 940/6282] eta: 0:05:34 time: 0.0598 data_time: 0.0152 memory: 2331 2023/03/10 22:22:38 - mmengine - INFO - Epoch(val) [7][ 960/6282] eta: 0:05:34 time: 0.0750 data_time: 0.0322 memory: 2331 2023/03/10 22:22:39 - mmengine - INFO - Epoch(val) [7][ 980/6282] eta: 0:05:33 time: 0.0662 data_time: 0.0232 memory: 2331 2023/03/10 22:22:41 - mmengine - INFO - Epoch(val) [7][1000/6282] eta: 0:05:31 time: 0.0556 data_time: 0.0112 memory: 2331 2023/03/10 22:22:42 - mmengine - INFO - Epoch(val) [7][1020/6282] eta: 0:05:30 time: 0.0615 data_time: 0.0175 memory: 2396 2023/03/10 22:22:43 - mmengine - INFO - Epoch(val) [7][1040/6282] eta: 0:05:28 time: 0.0560 data_time: 0.0110 memory: 2396 2023/03/10 22:22:44 - mmengine - INFO - Epoch(val) [7][1060/6282] eta: 0:05:26 time: 0.0625 data_time: 0.0175 memory: 2396 2023/03/10 22:22:45 - mmengine - INFO - Epoch(val) [7][1080/6282] eta: 0:05:25 time: 0.0558 data_time: 0.0110 memory: 2396 2023/03/10 22:22:46 - mmengine - INFO - Epoch(val) [7][1100/6282] eta: 0:05:23 time: 0.0594 data_time: 0.0141 memory: 2396 2023/03/10 22:22:48 - mmengine - INFO - Epoch(val) [7][1120/6282] eta: 0:05:21 time: 0.0539 data_time: 0.0086 memory: 2396 2023/03/10 22:22:49 - mmengine - INFO - Epoch(val) [7][1140/6282] eta: 0:05:20 time: 0.0629 data_time: 0.0141 memory: 2396 2023/03/10 22:22:50 - mmengine - INFO - Epoch(val) [7][1160/6282] eta: 0:05:18 time: 0.0549 data_time: 0.0096 memory: 2396 2023/03/10 22:22:51 - mmengine - INFO - Epoch(val) [7][1180/6282] eta: 0:05:16 time: 0.0519 data_time: 0.0048 memory: 2396 2023/03/10 22:22:52 - mmengine - INFO - Epoch(val) [7][1200/6282] eta: 0:05:13 time: 0.0482 data_time: 0.0022 memory: 2396 2023/03/10 22:22:53 - mmengine - INFO - Epoch(val) [7][1220/6282] eta: 0:05:11 time: 0.0492 data_time: 0.0027 memory: 2396 2023/03/10 22:22:55 - mmengine - INFO - Epoch(val) [7][1240/6282] eta: 0:05:12 time: 0.0898 data_time: 0.0290 memory: 2934 2023/03/10 22:22:56 - mmengine - INFO - Epoch(val) [7][1260/6282] eta: 0:05:13 time: 0.0862 data_time: 0.0228 memory: 2934 2023/03/10 22:22:59 - mmengine - INFO - Epoch(val) [7][1280/6282] eta: 0:05:16 time: 0.1135 data_time: 0.0522 memory: 2934 2023/03/10 22:23:00 - mmengine - INFO - Epoch(val) [7][1300/6282] eta: 0:05:16 time: 0.0870 data_time: 0.0258 memory: 2934 2023/03/10 22:23:02 - mmengine - INFO - Epoch(val) [7][1320/6282] eta: 0:05:17 time: 0.0981 data_time: 0.0353 memory: 2934 2023/03/10 22:23:04 - mmengine - INFO - Epoch(val) [7][1340/6282] eta: 0:05:18 time: 0.0931 data_time: 0.0318 memory: 2934 2023/03/10 22:23:06 - mmengine - INFO - Epoch(val) [7][1360/6282] eta: 0:05:19 time: 0.0977 data_time: 0.0359 memory: 2934 2023/03/10 22:23:08 - mmengine - INFO - Epoch(val) [7][1380/6282] eta: 0:05:20 time: 0.0842 data_time: 0.0216 memory: 2934 2023/03/10 22:23:10 - mmengine - INFO - Epoch(val) [7][1400/6282] eta: 0:05:20 time: 0.0946 data_time: 0.0343 memory: 2934 2023/03/10 22:23:11 - mmengine - INFO - Epoch(val) [7][1420/6282] eta: 0:05:19 time: 0.0727 data_time: 0.0129 memory: 2934 2023/03/10 22:23:13 - mmengine - INFO - Epoch(val) [7][1440/6282] eta: 0:05:18 time: 0.0662 data_time: 0.0066 memory: 2934 2023/03/10 22:23:14 - mmengine - INFO - Epoch(val) [7][1460/6282] eta: 0:05:17 time: 0.0620 data_time: 0.0025 memory: 2934 2023/03/10 22:23:15 - mmengine - INFO - Epoch(val) [7][1480/6282] eta: 0:05:15 time: 0.0627 data_time: 0.0029 memory: 2934 2023/03/10 22:23:16 - mmengine - INFO - Epoch(val) [7][1500/6282] eta: 0:05:14 time: 0.0624 data_time: 0.0026 memory: 2934 2023/03/10 22:23:18 - mmengine - INFO - Epoch(val) [7][1520/6282] eta: 0:05:12 time: 0.0631 data_time: 0.0024 memory: 3958 2023/03/10 22:23:19 - mmengine - INFO - Epoch(val) [7][1540/6282] eta: 0:05:12 time: 0.0875 data_time: 0.0029 memory: 3958 2023/03/10 22:23:21 - mmengine - INFO - Epoch(val) [7][1560/6282] eta: 0:05:12 time: 0.0866 data_time: 0.0029 memory: 3958 2023/03/10 22:23:23 - mmengine - INFO - Epoch(val) [7][1580/6282] eta: 0:05:12 time: 0.0870 data_time: 0.0031 memory: 3958 2023/03/10 22:23:25 - mmengine - INFO - Epoch(val) [7][1600/6282] eta: 0:05:12 time: 0.0862 data_time: 0.0028 memory: 3958 2023/03/10 22:23:26 - mmengine - INFO - Epoch(val) [7][1620/6282] eta: 0:05:12 time: 0.0870 data_time: 0.0028 memory: 3958 2023/03/10 22:23:28 - mmengine - INFO - Epoch(val) [7][1640/6282] eta: 0:05:10 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/10 22:23:29 - mmengine - INFO - Epoch(val) [7][1660/6282] eta: 0:05:08 time: 0.0619 data_time: 0.0025 memory: 2934 2023/03/10 22:23:30 - mmengine - INFO - Epoch(val) [7][1680/6282] eta: 0:05:07 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/10 22:23:31 - mmengine - INFO - Epoch(val) [7][1700/6282] eta: 0:05:05 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/10 22:23:33 - mmengine - INFO - Epoch(val) [7][1720/6282] eta: 0:05:04 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/10 22:23:34 - mmengine - INFO - Epoch(val) [7][1740/6282] eta: 0:05:02 time: 0.0616 data_time: 0.0023 memory: 2934 2023/03/10 22:23:35 - mmengine - INFO - Epoch(val) [7][1760/6282] eta: 0:05:00 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/10 22:23:36 - mmengine - INFO - Epoch(val) [7][1780/6282] eta: 0:04:59 time: 0.0617 data_time: 0.0023 memory: 2934 2023/03/10 22:23:38 - mmengine - INFO - Epoch(val) [7][1800/6282] eta: 0:04:57 time: 0.0628 data_time: 0.0027 memory: 2934 2023/03/10 22:23:39 - mmengine - INFO - Epoch(val) [7][1820/6282] eta: 0:04:56 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/10 22:23:40 - mmengine - INFO - Epoch(val) [7][1840/6282] eta: 0:04:54 time: 0.0634 data_time: 0.0029 memory: 2934 2023/03/10 22:23:42 - mmengine - INFO - Epoch(val) [7][1860/6282] eta: 0:04:54 time: 0.0837 data_time: 0.0226 memory: 2934 2023/03/10 22:23:44 - mmengine - INFO - Epoch(val) [7][1880/6282] eta: 0:04:54 time: 0.0899 data_time: 0.0276 memory: 2934 2023/03/10 22:23:46 - mmengine - INFO - Epoch(val) [7][1900/6282] eta: 0:04:53 time: 0.0936 data_time: 0.0324 memory: 2934 2023/03/10 22:23:47 - mmengine - INFO - Epoch(val) [7][1920/6282] eta: 0:04:53 time: 0.0754 data_time: 0.0135 memory: 2934 2023/03/10 22:23:49 - mmengine - INFO - Epoch(val) [7][1940/6282] eta: 0:04:52 time: 0.0801 data_time: 0.0202 memory: 2934 2023/03/10 22:23:50 - mmengine - INFO - Epoch(val) [7][1960/6282] eta: 0:04:50 time: 0.0543 data_time: 0.0089 memory: 2397 2023/03/10 22:23:51 - mmengine - INFO - Epoch(val) [7][1980/6282] eta: 0:04:48 time: 0.0571 data_time: 0.0120 memory: 2397 2023/03/10 22:23:52 - mmengine - INFO - Epoch(val) [7][2000/6282] eta: 0:04:46 time: 0.0540 data_time: 0.0089 memory: 2397 2023/03/10 22:23:53 - mmengine - INFO - Epoch(val) [7][2020/6282] eta: 0:04:44 time: 0.0585 data_time: 0.0132 memory: 2397 2023/03/10 22:23:54 - mmengine - INFO - Epoch(val) [7][2040/6282] eta: 0:04:43 time: 0.0578 data_time: 0.0126 memory: 2397 2023/03/10 22:23:56 - mmengine - INFO - Epoch(val) [7][2060/6282] eta: 0:04:41 time: 0.0647 data_time: 0.0172 memory: 2397 2023/03/10 22:23:57 - mmengine - INFO - Epoch(val) [7][2080/6282] eta: 0:04:40 time: 0.0561 data_time: 0.0103 memory: 2397 2023/03/10 22:23:58 - mmengine - INFO - Epoch(val) [7][2100/6282] eta: 0:04:38 time: 0.0637 data_time: 0.0185 memory: 2397 2023/03/10 22:23:59 - mmengine - INFO - Epoch(val) [7][2120/6282] eta: 0:04:36 time: 0.0581 data_time: 0.0121 memory: 2397 2023/03/10 22:24:00 - mmengine - INFO - Epoch(val) [7][2140/6282] eta: 0:04:35 time: 0.0589 data_time: 0.0115 memory: 2397 2023/03/10 22:24:02 - mmengine - INFO - Epoch(val) [7][2160/6282] eta: 0:04:33 time: 0.0579 data_time: 0.0126 memory: 2396 2023/03/10 22:24:03 - mmengine - INFO - Epoch(val) [7][2180/6282] eta: 0:04:31 time: 0.0574 data_time: 0.0124 memory: 2396 2023/03/10 22:24:04 - mmengine - INFO - Epoch(val) [7][2200/6282] eta: 0:04:30 time: 0.0675 data_time: 0.0191 memory: 2396 2023/03/10 22:24:05 - mmengine - INFO - Epoch(val) [7][2220/6282] eta: 0:04:28 time: 0.0549 data_time: 0.0075 memory: 2396 2023/03/10 22:24:06 - mmengine - INFO - Epoch(val) [7][2240/6282] eta: 0:04:27 time: 0.0585 data_time: 0.0123 memory: 2396 2023/03/10 22:24:07 - mmengine - INFO - Epoch(val) [7][2260/6282] eta: 0:04:25 time: 0.0564 data_time: 0.0114 memory: 2397 2023/03/10 22:24:09 - mmengine - INFO - Epoch(val) [7][2280/6282] eta: 0:04:24 time: 0.0635 data_time: 0.0184 memory: 2397 2023/03/10 22:24:10 - mmengine - INFO - Epoch(val) [7][2300/6282] eta: 0:04:22 time: 0.0565 data_time: 0.0101 memory: 2397 2023/03/10 22:24:11 - mmengine - INFO - Epoch(val) [7][2320/6282] eta: 0:04:21 time: 0.0629 data_time: 0.0180 memory: 2397 2023/03/10 22:24:12 - mmengine - INFO - Epoch(val) [7][2340/6282] eta: 0:04:19 time: 0.0582 data_time: 0.0102 memory: 2397 2023/03/10 22:24:13 - mmengine - INFO - Epoch(val) [7][2360/6282] eta: 0:04:18 time: 0.0586 data_time: 0.0117 memory: 2396 2023/03/10 22:24:15 - mmengine - INFO - Epoch(val) [7][2380/6282] eta: 0:04:16 time: 0.0567 data_time: 0.0118 memory: 2396 2023/03/10 22:24:16 - mmengine - INFO - Epoch(val) [7][2400/6282] eta: 0:04:14 time: 0.0588 data_time: 0.0121 memory: 2396 2023/03/10 22:24:17 - mmengine - INFO - Epoch(val) [7][2420/6282] eta: 0:04:13 time: 0.0486 data_time: 0.0026 memory: 2396 2023/03/10 22:24:18 - mmengine - INFO - Epoch(val) [7][2440/6282] eta: 0:04:11 time: 0.0560 data_time: 0.0092 memory: 2396 2023/03/10 22:24:19 - mmengine - INFO - Epoch(val) [7][2460/6282] eta: 0:04:10 time: 0.0671 data_time: 0.0064 memory: 2934 2023/03/10 22:24:21 - mmengine - INFO - Epoch(val) [7][2480/6282] eta: 0:04:08 time: 0.0650 data_time: 0.0031 memory: 2934 2023/03/10 22:24:22 - mmengine - INFO - Epoch(val) [7][2500/6282] eta: 0:04:07 time: 0.0654 data_time: 0.0034 memory: 2934 2023/03/10 22:24:23 - mmengine - INFO - Epoch(val) [7][2520/6282] eta: 0:04:06 time: 0.0628 data_time: 0.0026 memory: 2934 2023/03/10 22:24:24 - mmengine - INFO - Epoch(val) [7][2540/6282] eta: 0:04:04 time: 0.0642 data_time: 0.0035 memory: 2934 2023/03/10 22:24:26 - mmengine - INFO - Epoch(val) [7][2560/6282] eta: 0:04:04 time: 0.0971 data_time: 0.0340 memory: 2934 2023/03/10 22:24:28 - mmengine - INFO - Epoch(val) [7][2580/6282] eta: 0:04:03 time: 0.0932 data_time: 0.0317 memory: 2934 2023/03/10 22:24:30 - mmengine - INFO - Epoch(val) [7][2600/6282] eta: 0:04:03 time: 0.0912 data_time: 0.0295 memory: 2934 2023/03/10 22:24:32 - mmengine - INFO - Epoch(val) [7][2620/6282] eta: 0:04:02 time: 0.0932 data_time: 0.0296 memory: 2934 2023/03/10 22:24:33 - mmengine - INFO - Epoch(val) [7][2640/6282] eta: 0:04:01 time: 0.0717 data_time: 0.0106 memory: 2934 2023/03/10 22:24:35 - mmengine - INFO - Epoch(val) [7][2660/6282] eta: 0:04:00 time: 0.0838 data_time: 0.0024 memory: 3842 2023/03/10 22:24:37 - mmengine - INFO - Epoch(val) [7][2680/6282] eta: 0:03:59 time: 0.0842 data_time: 0.0027 memory: 3842 2023/03/10 22:24:38 - mmengine - INFO - Epoch(val) [7][2700/6282] eta: 0:03:59 time: 0.0856 data_time: 0.0029 memory: 3842 2023/03/10 22:24:40 - mmengine - INFO - Epoch(val) [7][2720/6282] eta: 0:03:58 time: 0.0849 data_time: 0.0029 memory: 3842 2023/03/10 22:24:42 - mmengine - INFO - Epoch(val) [7][2740/6282] eta: 0:03:57 time: 0.0787 data_time: 0.0026 memory: 3842 2023/03/10 22:24:43 - mmengine - INFO - Epoch(val) [7][2760/6282] eta: 0:03:55 time: 0.0479 data_time: 0.0020 memory: 2397 2023/03/10 22:24:44 - mmengine - INFO - Epoch(val) [7][2780/6282] eta: 0:03:53 time: 0.0470 data_time: 0.0021 memory: 2397 2023/03/10 22:24:45 - mmengine - INFO - Epoch(val) [7][2800/6282] eta: 0:03:52 time: 0.0604 data_time: 0.0142 memory: 2397 2023/03/10 22:24:46 - mmengine - INFO - Epoch(val) [7][2820/6282] eta: 0:03:50 time: 0.0552 data_time: 0.0075 memory: 2397 2023/03/10 22:24:47 - mmengine - INFO - Epoch(val) [7][2840/6282] eta: 0:03:48 time: 0.0483 data_time: 0.0026 memory: 2397 2023/03/10 22:24:48 - mmengine - INFO - Epoch(val) [7][2860/6282] eta: 0:03:47 time: 0.0620 data_time: 0.0055 memory: 2934 2023/03/10 22:24:49 - mmengine - INFO - Epoch(val) [7][2880/6282] eta: 0:03:45 time: 0.0640 data_time: 0.0025 memory: 2934 2023/03/10 22:24:51 - mmengine - INFO - Epoch(val) [7][2900/6282] eta: 0:03:45 time: 0.0991 data_time: 0.0084 memory: 2934 2023/03/10 22:24:53 - mmengine - INFO - Epoch(val) [7][2920/6282] eta: 0:03:43 time: 0.0601 data_time: 0.0082 memory: 2934 2023/03/10 22:24:54 - mmengine - INFO - Epoch(val) [7][2940/6282] eta: 0:03:42 time: 0.0615 data_time: 0.0075 memory: 2609 2023/03/10 22:24:55 - mmengine - INFO - Epoch(val) [7][2960/6282] eta: 0:03:40 time: 0.0540 data_time: 0.0033 memory: 2609 2023/03/10 22:24:56 - mmengine - INFO - Epoch(val) [7][2980/6282] eta: 0:03:39 time: 0.0544 data_time: 0.0053 memory: 2609 2023/03/10 22:24:57 - mmengine - INFO - Epoch(val) [7][3000/6282] eta: 0:03:37 time: 0.0584 data_time: 0.0078 memory: 2609 2023/03/10 22:24:59 - mmengine - INFO - Epoch(val) [7][3020/6282] eta: 0:03:36 time: 0.0778 data_time: 0.0190 memory: 2934 2023/03/10 22:25:00 - mmengine - INFO - Epoch(val) [7][3040/6282] eta: 0:03:35 time: 0.0654 data_time: 0.0022 memory: 2934 2023/03/10 22:25:01 - mmengine - INFO - Epoch(val) [7][3060/6282] eta: 0:03:33 time: 0.0642 data_time: 0.0022 memory: 2934 2023/03/10 22:25:03 - mmengine - INFO - Epoch(val) [7][3080/6282] eta: 0:03:32 time: 0.0637 data_time: 0.0021 memory: 2934 2023/03/10 22:25:04 - mmengine - INFO - Epoch(val) [7][3100/6282] eta: 0:03:30 time: 0.0572 data_time: 0.0023 memory: 2934 2023/03/10 22:25:05 - mmengine - INFO - Epoch(val) [7][3120/6282] eta: 0:03:29 time: 0.0484 data_time: 0.0023 memory: 2397 2023/03/10 22:25:06 - mmengine - INFO - Epoch(val) [7][3140/6282] eta: 0:03:27 time: 0.0492 data_time: 0.0020 memory: 2397 2023/03/10 22:25:07 - mmengine - INFO - Epoch(val) [7][3160/6282] eta: 0:03:25 time: 0.0516 data_time: 0.0064 memory: 2397 2023/03/10 22:25:08 - mmengine - INFO - Epoch(val) [7][3180/6282] eta: 0:03:24 time: 0.0511 data_time: 0.0033 memory: 2397 2023/03/10 22:25:09 - mmengine - INFO - Epoch(val) [7][3200/6282] eta: 0:03:22 time: 0.0598 data_time: 0.0033 memory: 2934 2023/03/10 22:25:10 - mmengine - INFO - Epoch(val) [7][3220/6282] eta: 0:03:21 time: 0.0641 data_time: 0.0028 memory: 2934 2023/03/10 22:25:12 - mmengine - INFO - Epoch(val) [7][3240/6282] eta: 0:03:20 time: 0.0646 data_time: 0.0027 memory: 2934 2023/03/10 22:25:13 - mmengine - INFO - Epoch(val) [7][3260/6282] eta: 0:03:18 time: 0.0640 data_time: 0.0026 memory: 2934 2023/03/10 22:25:14 - mmengine - INFO - Epoch(val) [7][3280/6282] eta: 0:03:17 time: 0.0638 data_time: 0.0023 memory: 2934 2023/03/10 22:25:15 - mmengine - INFO - Epoch(val) [7][3300/6282] eta: 0:03:16 time: 0.0622 data_time: 0.0022 memory: 2934 2023/03/10 22:25:17 - mmengine - INFO - Epoch(val) [7][3320/6282] eta: 0:03:14 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/10 22:25:18 - mmengine - INFO - Epoch(val) [7][3340/6282] eta: 0:03:13 time: 0.0615 data_time: 0.0022 memory: 2934 2023/03/10 22:25:19 - mmengine - INFO - Epoch(val) [7][3360/6282] eta: 0:03:11 time: 0.0630 data_time: 0.0024 memory: 2934 2023/03/10 22:25:20 - mmengine - INFO - Epoch(val) [7][3380/6282] eta: 0:03:10 time: 0.0598 data_time: 0.0022 memory: 2934 2023/03/10 22:25:21 - mmengine - INFO - Epoch(val) [7][3400/6282] eta: 0:03:08 time: 0.0492 data_time: 0.0024 memory: 2396 2023/03/10 22:25:22 - mmengine - INFO - Epoch(val) [7][3420/6282] eta: 0:03:07 time: 0.0485 data_time: 0.0021 memory: 2396 2023/03/10 22:25:23 - mmengine - INFO - Epoch(val) [7][3440/6282] eta: 0:03:05 time: 0.0512 data_time: 0.0043 memory: 2396 2023/03/10 22:25:25 - mmengine - INFO - Epoch(val) [7][3460/6282] eta: 0:03:04 time: 0.0678 data_time: 0.0202 memory: 2396 2023/03/10 22:25:26 - mmengine - INFO - Epoch(val) [7][3480/6282] eta: 0:03:03 time: 0.0576 data_time: 0.0115 memory: 2396 2023/03/10 22:25:27 - mmengine - INFO - Epoch(val) [7][3500/6282] eta: 0:03:01 time: 0.0586 data_time: 0.0128 memory: 2396 2023/03/10 22:25:28 - mmengine - INFO - Epoch(val) [7][3520/6282] eta: 0:03:00 time: 0.0602 data_time: 0.0142 memory: 2396 2023/03/10 22:25:29 - mmengine - INFO - Epoch(val) [7][3540/6282] eta: 0:02:58 time: 0.0616 data_time: 0.0168 memory: 2396 2023/03/10 22:25:31 - mmengine - INFO - Epoch(val) [7][3560/6282] eta: 0:02:57 time: 0.0549 data_time: 0.0075 memory: 2396 2023/03/10 22:25:32 - mmengine - INFO - Epoch(val) [7][3580/6282] eta: 0:02:56 time: 0.0583 data_time: 0.0091 memory: 2765 2023/03/10 22:25:33 - mmengine - INFO - Epoch(val) [7][3600/6282] eta: 0:02:54 time: 0.0565 data_time: 0.0020 memory: 2765 2023/03/10 22:25:34 - mmengine - INFO - Epoch(val) [7][3620/6282] eta: 0:02:53 time: 0.0623 data_time: 0.0051 memory: 2765 2023/03/10 22:25:35 - mmengine - INFO - Epoch(val) [7][3640/6282] eta: 0:02:51 time: 0.0587 data_time: 0.0022 memory: 2765 2023/03/10 22:25:37 - mmengine - INFO - Epoch(val) [7][3660/6282] eta: 0:02:50 time: 0.0601 data_time: 0.0027 memory: 2765 2023/03/10 22:25:38 - mmengine - INFO - Epoch(val) [7][3680/6282] eta: 0:02:49 time: 0.0627 data_time: 0.0031 memory: 2934 2023/03/10 22:25:39 - mmengine - INFO - Epoch(val) [7][3700/6282] eta: 0:02:47 time: 0.0635 data_time: 0.0030 memory: 2934 2023/03/10 22:25:40 - mmengine - INFO - Epoch(val) [7][3720/6282] eta: 0:02:46 time: 0.0672 data_time: 0.0030 memory: 2934 2023/03/10 22:25:42 - mmengine - INFO - Epoch(val) [7][3740/6282] eta: 0:02:45 time: 0.0664 data_time: 0.0032 memory: 2934 2023/03/10 22:25:43 - mmengine - INFO - Epoch(val) [7][3760/6282] eta: 0:02:44 time: 0.0655 data_time: 0.0032 memory: 2934 2023/03/10 22:25:44 - mmengine - INFO - Epoch(val) [7][3780/6282] eta: 0:02:42 time: 0.0641 data_time: 0.0032 memory: 2934 2023/03/10 22:25:46 - mmengine - INFO - Epoch(val) [7][3800/6282] eta: 0:02:41 time: 0.0635 data_time: 0.0030 memory: 2934 2023/03/10 22:25:47 - mmengine - INFO - Epoch(val) [7][3820/6282] eta: 0:02:40 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/10 22:25:48 - mmengine - INFO - Epoch(val) [7][3840/6282] eta: 0:02:38 time: 0.0637 data_time: 0.0030 memory: 2934 2023/03/10 22:25:49 - mmengine - INFO - Epoch(val) [7][3860/6282] eta: 0:02:37 time: 0.0630 data_time: 0.0027 memory: 2934 2023/03/10 22:25:51 - mmengine - INFO - Epoch(val) [7][3880/6282] eta: 0:02:36 time: 0.0633 data_time: 0.0029 memory: 2934 2023/03/10 22:25:52 - mmengine - INFO - Epoch(val) [7][3900/6282] eta: 0:02:34 time: 0.0634 data_time: 0.0029 memory: 2934 2023/03/10 22:25:53 - mmengine - INFO - Epoch(val) [7][3920/6282] eta: 0:02:33 time: 0.0623 data_time: 0.0025 memory: 2934 2023/03/10 22:25:55 - mmengine - INFO - Epoch(val) [7][3940/6282] eta: 0:02:32 time: 0.0640 data_time: 0.0024 memory: 2934 2023/03/10 22:25:56 - mmengine - INFO - Epoch(val) [7][3960/6282] eta: 0:02:30 time: 0.0628 data_time: 0.0024 memory: 2934 2023/03/10 22:25:57 - mmengine - INFO - Epoch(val) [7][3980/6282] eta: 0:02:29 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/10 22:25:58 - mmengine - INFO - Epoch(val) [7][4000/6282] eta: 0:02:28 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/10 22:26:00 - mmengine - INFO - Epoch(val) [7][4020/6282] eta: 0:02:26 time: 0.0615 data_time: 0.0022 memory: 2934 2023/03/10 22:26:01 - mmengine - INFO - Epoch(val) [7][4040/6282] eta: 0:02:25 time: 0.0648 data_time: 0.0021 memory: 3842 2023/03/10 22:26:02 - mmengine - INFO - Epoch(val) [7][4060/6282] eta: 0:02:24 time: 0.0833 data_time: 0.0023 memory: 3842 2023/03/10 22:26:04 - mmengine - INFO - Epoch(val) [7][4080/6282] eta: 0:02:23 time: 0.0833 data_time: 0.0024 memory: 3842 2023/03/10 22:26:06 - mmengine - INFO - Epoch(val) [7][4100/6282] eta: 0:02:22 time: 0.0835 data_time: 0.0024 memory: 3842 2023/03/10 22:26:08 - mmengine - INFO - Epoch(val) [7][4120/6282] eta: 0:02:21 time: 0.0837 data_time: 0.0025 memory: 3842 2023/03/10 22:26:09 - mmengine - INFO - Epoch(val) [7][4140/6282] eta: 0:02:19 time: 0.0712 data_time: 0.0024 memory: 3842 2023/03/10 22:26:10 - mmengine - INFO - Epoch(val) [7][4160/6282] eta: 0:02:18 time: 0.0492 data_time: 0.0021 memory: 2396 2023/03/10 22:26:11 - mmengine - INFO - Epoch(val) [7][4180/6282] eta: 0:02:16 time: 0.0491 data_time: 0.0023 memory: 2396 2023/03/10 22:26:12 - mmengine - INFO - Epoch(val) [7][4200/6282] eta: 0:02:15 time: 0.0516 data_time: 0.0048 memory: 2396 2023/03/10 22:26:13 - mmengine - INFO - Epoch(val) [7][4220/6282] eta: 0:02:14 time: 0.0588 data_time: 0.0114 memory: 2396 2023/03/10 22:26:14 - mmengine - INFO - Epoch(val) [7][4240/6282] eta: 0:02:12 time: 0.0614 data_time: 0.0147 memory: 2396 2023/03/10 22:26:16 - mmengine - INFO - Epoch(val) [7][4260/6282] eta: 0:02:11 time: 0.0617 data_time: 0.0159 memory: 2396 2023/03/10 22:26:17 - mmengine - INFO - Epoch(val) [7][4280/6282] eta: 0:02:10 time: 0.0590 data_time: 0.0115 memory: 2396 2023/03/10 22:26:18 - mmengine - INFO - Epoch(val) [7][4300/6282] eta: 0:02:08 time: 0.0670 data_time: 0.0200 memory: 2396 2023/03/10 22:26:19 - mmengine - INFO - Epoch(val) [7][4320/6282] eta: 0:02:07 time: 0.0611 data_time: 0.0160 memory: 2396 2023/03/10 22:26:21 - mmengine - INFO - Epoch(val) [7][4340/6282] eta: 0:02:06 time: 0.0581 data_time: 0.0129 memory: 2396 2023/03/10 22:26:22 - mmengine - INFO - Epoch(val) [7][4360/6282] eta: 0:02:04 time: 0.0659 data_time: 0.0031 memory: 2934 2023/03/10 22:26:23 - mmengine - INFO - Epoch(val) [7][4380/6282] eta: 0:02:03 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/10 22:26:24 - mmengine - INFO - Epoch(val) [7][4400/6282] eta: 0:02:02 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/10 22:26:26 - mmengine - INFO - Epoch(val) [7][4420/6282] eta: 0:02:00 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/10 22:26:27 - mmengine - INFO - Epoch(val) [7][4440/6282] eta: 0:01:59 time: 0.0663 data_time: 0.0023 memory: 3023 2023/03/10 22:26:28 - mmengine - INFO - Epoch(val) [7][4460/6282] eta: 0:01:58 time: 0.0650 data_time: 0.0026 memory: 3023 2023/03/10 22:26:30 - mmengine - INFO - Epoch(val) [7][4480/6282] eta: 0:01:56 time: 0.0646 data_time: 0.0023 memory: 3023 2023/03/10 22:26:31 - mmengine - INFO - Epoch(val) [7][4500/6282] eta: 0:01:55 time: 0.0643 data_time: 0.0023 memory: 3023 2023/03/10 22:26:32 - mmengine - INFO - Epoch(val) [7][4520/6282] eta: 0:01:54 time: 0.0608 data_time: 0.0023 memory: 3023 2023/03/10 22:26:33 - mmengine - INFO - Epoch(val) [7][4540/6282] eta: 0:01:52 time: 0.0504 data_time: 0.0021 memory: 2464 2023/03/10 22:26:34 - mmengine - INFO - Epoch(val) [7][4560/6282] eta: 0:01:51 time: 0.0531 data_time: 0.0022 memory: 2464 2023/03/10 22:26:35 - mmengine - INFO - Epoch(val) [7][4580/6282] eta: 0:01:50 time: 0.0482 data_time: 0.0022 memory: 2464 2023/03/10 22:26:36 - mmengine - INFO - Epoch(val) [7][4600/6282] eta: 0:01:48 time: 0.0561 data_time: 0.0103 memory: 2464 2023/03/10 22:26:37 - mmengine - INFO - Epoch(val) [7][4620/6282] eta: 0:01:47 time: 0.0601 data_time: 0.0136 memory: 2464 2023/03/10 22:26:39 - mmengine - INFO - Epoch(val) [7][4640/6282] eta: 0:01:46 time: 0.0735 data_time: 0.0101 memory: 3023 2023/03/10 22:26:40 - mmengine - INFO - Epoch(val) [7][4660/6282] eta: 0:01:44 time: 0.0681 data_time: 0.0028 memory: 3023 2023/03/10 22:26:42 - mmengine - INFO - Epoch(val) [7][4680/6282] eta: 0:01:43 time: 0.0641 data_time: 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22:27:02 - mmengine - INFO - Epoch(val) [7][5020/6282] eta: 0:01:21 time: 0.0560 data_time: 0.0022 memory: 2934 2023/03/10 22:27:03 - mmengine - INFO - Epoch(val) [7][5040/6282] eta: 0:01:19 time: 0.0478 data_time: 0.0021 memory: 2397 2023/03/10 22:27:04 - mmengine - INFO - Epoch(val) [7][5060/6282] eta: 0:01:18 time: 0.0501 data_time: 0.0024 memory: 2397 2023/03/10 22:27:05 - mmengine - INFO - Epoch(val) [7][5080/6282] eta: 0:01:17 time: 0.0537 data_time: 0.0071 memory: 2397 2023/03/10 22:27:06 - mmengine - INFO - Epoch(val) [7][5100/6282] eta: 0:01:15 time: 0.0582 data_time: 0.0132 memory: 2397 2023/03/10 22:27:07 - mmengine - INFO - Epoch(val) [7][5120/6282] eta: 0:01:14 time: 0.0570 data_time: 0.0097 memory: 2397 2023/03/10 22:27:08 - mmengine - INFO - Epoch(val) [7][5140/6282] eta: 0:01:13 time: 0.0571 data_time: 0.0110 memory: 2396 2023/03/10 22:27:10 - mmengine - INFO - Epoch(val) [7][5160/6282] eta: 0:01:11 time: 0.0572 data_time: 0.0105 memory: 2396 2023/03/10 22:27:11 - 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eta: 0:00:39 time: 0.0625 data_time: 0.0160 memory: 2396 2023/03/10 22:27:40 - mmengine - INFO - Epoch(val) [7][5680/6282] eta: 0:00:38 time: 0.0645 data_time: 0.0196 memory: 2396 2023/03/10 22:27:41 - mmengine - INFO - Epoch(val) [7][5700/6282] eta: 0:00:36 time: 0.0574 data_time: 0.0111 memory: 2396 2023/03/10 22:27:42 - mmengine - INFO - Epoch(val) [7][5720/6282] eta: 0:00:35 time: 0.0598 data_time: 0.0114 memory: 2686 2023/03/10 22:27:43 - mmengine - INFO - Epoch(val) [7][5740/6282] eta: 0:00:34 time: 0.0593 data_time: 0.0036 memory: 2686 2023/03/10 22:27:45 - mmengine - INFO - Epoch(val) [7][5760/6282] eta: 0:00:33 time: 0.0570 data_time: 0.0039 memory: 2686 2023/03/10 22:27:46 - mmengine - INFO - Epoch(val) [7][5780/6282] eta: 0:00:31 time: 0.0591 data_time: 0.0039 memory: 2686 2023/03/10 22:27:47 - mmengine - INFO - Epoch(val) [7][5800/6282] eta: 0:00:30 time: 0.0576 data_time: 0.0023 memory: 2686 2023/03/10 22:27:48 - mmengine - INFO - Epoch(val) [7][5820/6282] eta: 0:00:29 time: 0.0559 data_time: 0.0044 memory: 2686 2023/03/10 22:27:49 - mmengine - INFO - Epoch(val) [7][5840/6282] eta: 0:00:28 time: 0.0629 data_time: 0.0136 memory: 2608 2023/03/10 22:27:50 - mmengine - INFO - Epoch(val) [7][5860/6282] eta: 0:00:26 time: 0.0566 data_time: 0.0064 memory: 2608 2023/03/10 22:27:52 - mmengine - INFO - Epoch(val) [7][5880/6282] eta: 0:00:25 time: 0.0590 data_time: 0.0057 memory: 2608 2023/03/10 22:27:53 - mmengine - INFO - Epoch(val) [7][5900/6282] eta: 0:00:24 time: 0.0578 data_time: 0.0084 memory: 2608 2023/03/10 22:27:54 - mmengine - INFO - Epoch(val) [7][5920/6282] eta: 0:00:22 time: 0.0619 data_time: 0.0140 memory: 2608 2023/03/10 22:27:55 - mmengine - INFO - Epoch(val) [7][5940/6282] eta: 0:00:21 time: 0.0576 data_time: 0.0122 memory: 2396 2023/03/10 22:27:56 - mmengine - INFO - Epoch(val) [7][5960/6282] eta: 0:00:20 time: 0.0580 data_time: 0.0095 memory: 2396 2023/03/10 22:27:57 - mmengine - INFO - Epoch(val) [7][5980/6282] eta: 0:00:19 time: 0.0541 data_time: 0.0093 memory: 2396 2023/03/10 22:27:59 - mmengine - INFO - Epoch(val) [7][6000/6282] eta: 0:00:17 time: 0.0608 data_time: 0.0046 memory: 2934 2023/03/10 22:28:00 - mmengine - INFO - Epoch(val) [7][6020/6282] eta: 0:00:16 time: 0.0631 data_time: 0.0021 memory: 2934 2023/03/10 22:28:01 - mmengine - INFO - Epoch(val) [7][6040/6282] eta: 0:00:15 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/10 22:28:03 - mmengine - INFO - Epoch(val) [7][6060/6282] eta: 0:00:14 time: 0.0650 data_time: 0.0027 memory: 2934 2023/03/10 22:28:04 - mmengine - INFO - Epoch(val) [7][6080/6282] eta: 0:00:12 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/10 22:28:06 - mmengine - INFO - Epoch(val) [7][6100/6282] eta: 0:00:11 time: 0.0894 data_time: 0.0148 memory: 2934 2023/03/10 22:28:07 - mmengine - INFO - Epoch(val) [7][6120/6282] eta: 0:00:10 time: 0.0666 data_time: 0.0036 memory: 2934 2023/03/10 22:28:08 - mmengine - INFO - Epoch(val) [7][6140/6282] eta: 0:00:08 time: 0.0643 data_time: 0.0025 memory: 2934 2023/03/10 22:28:09 - mmengine - INFO - Epoch(val) [7][6160/6282] eta: 0:00:07 time: 0.0654 data_time: 0.0025 memory: 2934 2023/03/10 22:28:11 - mmengine - INFO - Epoch(val) [7][6180/6282] eta: 0:00:06 time: 0.0622 data_time: 0.0021 memory: 2934 2023/03/10 22:28:12 - mmengine - INFO - Epoch(val) [7][6200/6282] eta: 0:00:05 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/10 22:28:13 - mmengine - INFO - Epoch(val) [7][6220/6282] eta: 0:00:03 time: 0.0617 data_time: 0.0021 memory: 2934 2023/03/10 22:28:14 - mmengine - INFO - Epoch(val) [7][6240/6282] eta: 0:00:02 time: 0.0615 data_time: 0.0022 memory: 2934 2023/03/10 22:28:16 - mmengine - INFO - Epoch(val) [7][6260/6282] eta: 0:00:01 time: 0.0609 data_time: 0.0019 memory: 2934 2023/03/10 22:28:17 - mmengine - INFO - Epoch(val) [7][6280/6282] eta: 0:00:00 time: 0.0606 data_time: 0.0018 memory: 2934 2023/03/10 22:31:48 - mmengine - INFO - Epoch(val) [7][6282/6282] mAP/mAP@0.5IOU: 0.3278 2023/03/10 22:31:48 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_6.pth is removed 2023/03/10 22:31:51 - mmengine - INFO - The best checkpoint with 0.3278 mAP/mAP@0.5IOU at 7 epoch is saved to best_mAP/mAP@0.5IOU_epoch_7.pth. 2023/03/10 22:32:06 - mmengine - INFO - Epoch(train) [8][ 20/4451] lr: 2.8407e-06 eta: 10:56:55 time: 0.7765 data_time: 0.3539 memory: 51970 grad_norm: 0.1278 loss: 0.0401 recall@thr=0.5: 0.5685 prec@thr=0.5: 0.7037 recall@top3: 0.7630 prec@top3: 0.5556 recall@top5: 0.9056 prec@top5: 0.4222 loss_action_cls: 0.0401 2023/03/10 22:32:19 - mmengine - INFO - Epoch(train) [8][ 40/4451] lr: 2.8402e-06 eta: 10:56:40 time: 0.6599 data_time: 0.2385 memory: 51970 grad_norm: 0.1364 loss: 0.0422 recall@thr=0.5: 0.8214 prec@thr=0.5: 0.9167 recall@top3: 0.8929 prec@top3: 0.6667 recall@top5: 0.9643 prec@top5: 0.4286 loss_action_cls: 0.0422 2023/03/10 22:32:32 - mmengine - INFO - Epoch(train) [8][ 60/4451] lr: 2.8396e-06 eta: 10:56:25 time: 0.6261 data_time: 0.2042 memory: 51970 grad_norm: 0.1273 loss: 0.0408 recall@thr=0.5: 0.4403 prec@thr=0.5: 0.4771 recall@top3: 0.5847 prec@top3: 0.5139 recall@top5: 0.6694 prec@top5: 0.3750 loss_action_cls: 0.0408 2023/03/10 22:32:44 - mmengine - INFO - Epoch(train) [8][ 80/4451] lr: 2.8390e-06 eta: 10:56:08 time: 0.5994 data_time: 0.1790 memory: 51970 grad_norm: 0.1392 loss: 0.0395 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.9259 recall@top3: 0.9444 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0395 2023/03/10 22:32:57 - mmengine - INFO - Epoch(train) [8][ 100/4451] lr: 2.8385e-06 eta: 10:55:54 time: 0.6746 data_time: 0.2527 memory: 51970 grad_norm: 0.1288 loss: 0.0411 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9394 recall@top3: 0.8977 prec@top3: 0.5606 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0411 2023/03/10 22:33:11 - mmengine - INFO - Epoch(train) [8][ 120/4451] lr: 2.8379e-06 eta: 10:55:40 time: 0.6660 data_time: 0.1287 memory: 51970 grad_norm: 0.1330 loss: 0.0377 recall@thr=0.5: 0.9286 prec@thr=0.5: 0.8571 recall@top3: 1.0000 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.3571 loss_action_cls: 0.0377 2023/03/10 22:33:25 - mmengine - INFO - Epoch(train) [8][ 140/4451] lr: 2.8373e-06 eta: 10:55:27 time: 0.6961 data_time: 0.1779 memory: 51970 grad_norm: 0.1435 loss: 0.0368 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.9167 recall@top3: 0.8810 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.3714 loss_action_cls: 0.0368 2023/03/10 22:33:37 - mmengine - INFO - Epoch(train) [8][ 160/4451] lr: 2.8367e-06 eta: 10:55:10 time: 0.5989 data_time: 0.1152 memory: 51970 grad_norm: 0.1266 loss: 0.0392 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7348 recall@top3: 0.7727 prec@top3: 0.5303 recall@top5: 0.9015 prec@top5: 0.3909 loss_action_cls: 0.0392 2023/03/10 22:33:51 - mmengine - INFO - Epoch(train) [8][ 180/4451] lr: 2.8362e-06 eta: 10:54:57 time: 0.7028 data_time: 0.2004 memory: 51970 grad_norm: 0.1383 loss: 0.0375 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7556 recall@top3: 0.8333 prec@top3: 0.6222 recall@top5: 0.9778 prec@top5: 0.4533 loss_action_cls: 0.0375 2023/03/10 22:34:04 - mmengine - INFO - Epoch(train) [8][ 200/4451] lr: 2.8356e-06 eta: 10:54:43 time: 0.6588 data_time: 0.0720 memory: 51970 grad_norm: 0.1358 loss: 0.0431 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7130 recall@top3: 0.7593 prec@top3: 0.6111 recall@top5: 0.9815 prec@top5: 0.4556 loss_action_cls: 0.0431 2023/03/10 22:34:18 - mmengine - INFO - Epoch(train) [8][ 220/4451] lr: 2.8350e-06 eta: 10:54:30 time: 0.7047 data_time: 0.2294 memory: 51970 grad_norm: 0.1272 loss: 0.0377 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.7767 recall@top3: 0.8467 prec@top3: 0.5867 recall@top5: 0.9067 prec@top5: 0.3760 loss_action_cls: 0.0377 2023/03/10 22:34:30 - mmengine - INFO - Epoch(train) [8][ 240/4451] lr: 2.8344e-06 eta: 10:54:14 time: 0.6120 data_time: 0.1521 memory: 51970 grad_norm: 0.1294 loss: 0.0405 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6542 recall@top3: 0.7083 prec@top3: 0.6333 recall@top5: 0.9333 prec@top5: 0.4900 loss_action_cls: 0.0405 2023/03/10 22:34:43 - mmengine - INFO - Epoch(train) [8][ 260/4451] lr: 2.8338e-06 eta: 10:53:58 time: 0.6192 data_time: 0.0663 memory: 51970 grad_norm: 0.1370 loss: 0.0427 recall@thr=0.5: 0.4314 prec@thr=0.5: 0.5196 recall@top3: 0.6324 prec@top3: 0.5490 recall@top5: 0.8725 prec@top5: 0.4353 loss_action_cls: 0.0427 2023/03/10 22:34:55 - mmengine - INFO - Epoch(train) [8][ 280/4451] lr: 2.8332e-06 eta: 10:53:42 time: 0.6237 data_time: 0.1003 memory: 51970 grad_norm: 0.1311 loss: 0.0421 recall@thr=0.5: 0.4111 prec@thr=0.5: 0.5556 recall@top3: 0.6000 prec@top3: 0.4000 recall@top5: 0.7944 prec@top5: 0.3467 loss_action_cls: 0.0421 2023/03/10 22:35:09 - mmengine - INFO - Epoch(train) [8][ 300/4451] lr: 2.8327e-06 eta: 10:53:29 time: 0.6877 data_time: 0.2251 memory: 51970 grad_norm: 0.1330 loss: 0.0383 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.6967 recall@top3: 0.6717 prec@top3: 0.5833 recall@top5: 0.9650 prec@top5: 0.4900 loss_action_cls: 0.0383 2023/03/10 22:35:21 - mmengine - INFO - Epoch(train) [8][ 320/4451] lr: 2.8321e-06 eta: 10:53:13 time: 0.6136 data_time: 0.0485 memory: 51970 grad_norm: 0.1390 loss: 0.0414 recall@thr=0.5: 0.6349 prec@thr=0.5: 0.5952 recall@top3: 0.7540 prec@top3: 0.5714 recall@top5: 0.8651 prec@top5: 0.4095 loss_action_cls: 0.0414 2023/03/10 22:35:34 - mmengine - INFO - Epoch(train) [8][ 340/4451] lr: 2.8315e-06 eta: 10:52:58 time: 0.6350 data_time: 0.0549 memory: 51970 grad_norm: 0.1328 loss: 0.0397 recall@thr=0.5: 0.5810 prec@thr=0.5: 0.7063 recall@top3: 0.6016 prec@top3: 0.6032 recall@top5: 0.8103 prec@top5: 0.5143 loss_action_cls: 0.0397 2023/03/10 22:35:48 - mmengine - INFO - Epoch(train) [8][ 360/4451] lr: 2.8309e-06 eta: 10:52:45 time: 0.7101 data_time: 0.0297 memory: 51970 grad_norm: 0.1334 loss: 0.0414 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7097 recall@top3: 0.6875 prec@top3: 0.5278 recall@top5: 0.8125 prec@top5: 0.3917 loss_action_cls: 0.0414 2023/03/10 22:36:01 - mmengine - INFO - Epoch(train) [8][ 380/4451] lr: 2.8303e-06 eta: 10:52:30 time: 0.6438 data_time: 0.0691 memory: 51970 grad_norm: 0.1264 loss: 0.0422 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.9035 recall@top3: 0.9079 prec@top3: 0.7193 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0422 2023/03/10 22:36:13 - mmengine - INFO - Epoch(train) [8][ 400/4451] lr: 2.8297e-06 eta: 10:52:14 time: 0.6167 data_time: 0.0686 memory: 51970 grad_norm: 0.1371 loss: 0.0415 recall@thr=0.5: 0.6647 prec@thr=0.5: 0.8269 recall@top3: 0.8090 prec@top3: 0.7179 recall@top5: 0.9205 prec@top5: 0.5077 loss_action_cls: 0.0415 2023/03/10 22:36:26 - mmengine - INFO - Epoch(train) [8][ 420/4451] lr: 2.8291e-06 eta: 10:51:59 time: 0.6411 data_time: 0.1280 memory: 51970 grad_norm: 0.1367 loss: 0.0417 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.8667 recall@top3: 0.7889 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0417 2023/03/10 22:36:39 - mmengine - INFO - Epoch(train) [8][ 440/4451] lr: 2.8285e-06 eta: 10:51:43 time: 0.6287 data_time: 0.1794 memory: 51970 grad_norm: 0.1305 loss: 0.0359 recall@thr=0.5: 0.8561 prec@thr=0.5: 0.8561 recall@top3: 0.9545 prec@top3: 0.7121 recall@top5: 0.9773 prec@top5: 0.4364 loss_action_cls: 0.0359 2023/03/10 22:36:53 - mmengine - INFO - Epoch(train) [8][ 460/4451] lr: 2.8279e-06 eta: 10:51:31 time: 0.7070 data_time: 0.2817 memory: 51970 grad_norm: 0.1355 loss: 0.0437 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8036 recall@top3: 0.7619 prec@top3: 0.7143 recall@top5: 0.9048 prec@top5: 0.5143 loss_action_cls: 0.0437 2023/03/10 22:37:05 - mmengine - INFO - Epoch(train) [8][ 480/4451] lr: 2.8273e-06 eta: 10:51:15 time: 0.6070 data_time: 0.1830 memory: 51970 grad_norm: 0.1388 loss: 0.0404 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7406 recall@top3: 0.7500 prec@top3: 0.6042 recall@top5: 0.9219 prec@top5: 0.4375 loss_action_cls: 0.0404 2023/03/10 22:37:18 - mmengine - INFO - Epoch(train) [8][ 500/4451] lr: 2.8267e-06 eta: 10:51:01 time: 0.6771 data_time: 0.2236 memory: 51970 grad_norm: 0.1358 loss: 0.0444 recall@thr=0.5: 0.6285 prec@thr=0.5: 0.7014 recall@top3: 0.7604 prec@top3: 0.6528 recall@top5: 0.8368 prec@top5: 0.4333 loss_action_cls: 0.0444 2023/03/10 22:37:31 - mmengine - INFO - Epoch(train) [8][ 520/4451] lr: 2.8261e-06 eta: 10:50:46 time: 0.6497 data_time: 0.1842 memory: 51970 grad_norm: 0.1335 loss: 0.0409 recall@thr=0.5: 0.6369 prec@thr=0.5: 0.6464 recall@top3: 0.8155 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0409 2023/03/10 22:37:45 - mmengine - INFO - Epoch(train) [8][ 540/4451] lr: 2.8255e-06 eta: 10:50:32 time: 0.6610 data_time: 0.2340 memory: 51970 grad_norm: 0.1324 loss: 0.0357 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8750 recall@top3: 0.8333 prec@top3: 0.7000 recall@top5: 0.9125 prec@top5: 0.4700 loss_action_cls: 0.0357 2023/03/10 22:37:56 - mmengine - INFO - Epoch(train) [8][ 560/4451] lr: 2.8249e-06 eta: 10:50:14 time: 0.5578 data_time: 0.1326 memory: 51970 grad_norm: 0.1363 loss: 0.0405 recall@thr=0.5: 0.5929 prec@thr=0.5: 0.7404 recall@top3: 0.7115 prec@top3: 0.7436 recall@top5: 0.8910 prec@top5: 0.5692 loss_action_cls: 0.0405 2023/03/10 22:38:08 - mmengine - INFO - Epoch(train) [8][ 580/4451] lr: 2.8243e-06 eta: 10:49:58 time: 0.6129 data_time: 0.1854 memory: 51970 grad_norm: 0.1374 loss: 0.0423 recall@thr=0.5: 0.5243 prec@thr=0.5: 0.4924 recall@top3: 0.7049 prec@top3: 0.6111 recall@top5: 0.8194 prec@top5: 0.4500 loss_action_cls: 0.0423 2023/03/10 22:38:20 - mmengine - INFO - Epoch(train) [8][ 600/4451] lr: 2.8237e-06 eta: 10:49:41 time: 0.5989 data_time: 0.1738 memory: 51970 grad_norm: 0.1324 loss: 0.0410 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7237 recall@top3: 0.6842 prec@top3: 0.6667 recall@top5: 0.9737 prec@top5: 0.5263 loss_action_cls: 0.0410 2023/03/10 22:38:34 - mmengine - INFO - Epoch(train) [8][ 620/4451] lr: 2.8231e-06 eta: 10:49:29 time: 0.7185 data_time: 0.2950 memory: 51970 grad_norm: 0.1303 loss: 0.0392 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.7500 recall@top3: 0.8205 prec@top3: 0.7051 recall@top5: 0.9744 prec@top5: 0.5231 loss_action_cls: 0.0392 2023/03/10 22:38:45 - mmengine - INFO - Epoch(train) [8][ 640/4451] lr: 2.8225e-06 eta: 10:49:10 time: 0.5482 data_time: 0.1265 memory: 51970 grad_norm: 0.1325 loss: 0.0413 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6815 recall@top3: 0.7583 prec@top3: 0.6310 recall@top5: 0.8589 prec@top5: 0.4429 loss_action_cls: 0.0413 2023/03/10 22:38:59 - mmengine - INFO - Epoch(train) [8][ 660/4451] lr: 2.8219e-06 eta: 10:48:57 time: 0.6775 data_time: 0.2307 memory: 51970 grad_norm: 0.1417 loss: 0.0393 recall@thr=0.5: 0.6782 prec@thr=0.5: 0.6724 recall@top3: 0.9195 prec@top3: 0.7356 recall@top5: 1.0000 prec@top5: 0.4828 loss_action_cls: 0.0393 2023/03/10 22:39:09 - mmengine - INFO - Epoch(train) [8][ 680/4451] lr: 2.8213e-06 eta: 10:48:37 time: 0.5280 data_time: 0.0855 memory: 51970 grad_norm: 0.1344 loss: 0.0394 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.6905 recall@top3: 0.8651 prec@top3: 0.6190 recall@top5: 0.9444 prec@top5: 0.4095 loss_action_cls: 0.0394 2023/03/10 22:39:23 - mmengine - INFO - Epoch(train) [8][ 700/4451] lr: 2.8207e-06 eta: 10:48:24 time: 0.6958 data_time: 0.2081 memory: 51970 grad_norm: 0.1379 loss: 0.0433 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7500 recall@top3: 0.8250 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0433 2023/03/10 22:39:36 - mmengine - INFO - Epoch(train) [8][ 720/4451] lr: 2.8201e-06 eta: 10:48:10 time: 0.6493 data_time: 0.1765 memory: 51970 grad_norm: 0.1326 loss: 0.0421 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8833 recall@top3: 0.8167 prec@top3: 0.7833 recall@top5: 0.9417 prec@top5: 0.5600 loss_action_cls: 0.0421 2023/03/10 22:39:50 - mmengine - INFO - Epoch(train) [8][ 740/4451] lr: 2.8195e-06 eta: 10:47:56 time: 0.6803 data_time: 0.2591 memory: 51970 grad_norm: 0.1351 loss: 0.0396 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.8013 recall@top3: 0.8013 prec@top3: 0.6795 recall@top5: 0.8846 prec@top5: 0.4538 loss_action_cls: 0.0396 2023/03/10 22:40:03 - mmengine - INFO - Epoch(train) [8][ 760/4451] lr: 2.8189e-06 eta: 10:47:41 time: 0.6368 data_time: 0.2121 memory: 51970 grad_norm: 0.1381 loss: 0.0430 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.6333 recall@top3: 0.6250 prec@top3: 0.4000 recall@top5: 0.7292 prec@top5: 0.2900 loss_action_cls: 0.0430 2023/03/10 22:40:17 - mmengine - INFO - Epoch(train) [8][ 780/4451] lr: 2.8182e-06 eta: 10:47:28 time: 0.6950 data_time: 0.2735 memory: 51970 grad_norm: 0.1304 loss: 0.0393 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7897 recall@top3: 0.8333 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5905 loss_action_cls: 0.0393 2023/03/10 22:40:29 - mmengine - INFO - Epoch(train) [8][ 800/4451] lr: 2.8176e-06 eta: 10:47:12 time: 0.6311 data_time: 0.2042 memory: 51970 grad_norm: 0.1350 loss: 0.0388 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.9091 recall@top3: 0.7955 prec@top3: 0.5455 recall@top5: 0.9318 prec@top5: 0.4091 loss_action_cls: 0.0388 2023/03/10 22:40:41 - mmengine - INFO - Epoch(train) [8][ 820/4451] lr: 2.8170e-06 eta: 10:46:55 time: 0.5631 data_time: 0.1386 memory: 51970 grad_norm: 0.1326 loss: 0.0400 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.6923 recall@top3: 0.8590 prec@top3: 0.5641 recall@top5: 0.9808 prec@top5: 0.4000 loss_action_cls: 0.0400 2023/03/10 22:40:53 - mmengine - INFO - Epoch(train) [8][ 840/4451] lr: 2.8164e-06 eta: 10:46:39 time: 0.6291 data_time: 0.0810 memory: 51970 grad_norm: 0.1347 loss: 0.0362 recall@thr=0.5: 0.7099 prec@thr=0.5: 0.7469 recall@top3: 0.8580 prec@top3: 0.7284 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0362 2023/03/10 22:40:55 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 22:41:06 - mmengine - INFO - Epoch(train) [8][ 860/4451] lr: 2.8158e-06 eta: 10:46:25 time: 0.6608 data_time: 0.2378 memory: 51970 grad_norm: 0.1306 loss: 0.0463 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8241 recall@top3: 0.8519 prec@top3: 0.6667 recall@top5: 0.9630 prec@top5: 0.4778 loss_action_cls: 0.0463 2023/03/10 22:41:19 - mmengine - INFO - Epoch(train) [8][ 880/4451] lr: 2.8152e-06 eta: 10:46:09 time: 0.6259 data_time: 0.1118 memory: 51970 grad_norm: 0.1310 loss: 0.0408 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7770 recall@top3: 0.8534 prec@top3: 0.7157 recall@top5: 0.9657 prec@top5: 0.4882 loss_action_cls: 0.0408 2023/03/10 22:41:31 - mmengine - INFO - Epoch(train) [8][ 900/4451] lr: 2.8145e-06 eta: 10:45:54 time: 0.6263 data_time: 0.0288 memory: 51970 grad_norm: 0.1363 loss: 0.0402 recall@thr=0.5: 0.7730 prec@thr=0.5: 0.7471 recall@top3: 0.8247 prec@top3: 0.5862 recall@top5: 0.9310 prec@top5: 0.4069 loss_action_cls: 0.0402 2023/03/10 22:41:45 - mmengine - INFO - Epoch(train) [8][ 920/4451] lr: 2.8139e-06 eta: 10:45:40 time: 0.6873 data_time: 0.0110 memory: 51970 grad_norm: 0.1338 loss: 0.0377 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.6833 recall@top3: 0.7667 prec@top3: 0.5667 recall@top5: 0.9417 prec@top5: 0.4300 loss_action_cls: 0.0377 2023/03/10 22:41:57 - mmengine - INFO - Epoch(train) [8][ 940/4451] lr: 2.8133e-06 eta: 10:45:24 time: 0.6089 data_time: 0.0359 memory: 51970 grad_norm: 0.1362 loss: 0.0395 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.6975 recall@top3: 0.7346 prec@top3: 0.5185 recall@top5: 0.9136 prec@top5: 0.4148 loss_action_cls: 0.0395 2023/03/10 22:42:10 - mmengine - INFO - Epoch(train) [8][ 960/4451] lr: 2.8127e-06 eta: 10:45:09 time: 0.6216 data_time: 0.0576 memory: 51970 grad_norm: 0.1317 loss: 0.0378 recall@thr=0.5: 0.5754 prec@thr=0.5: 0.7381 recall@top3: 0.7381 prec@top3: 0.6667 recall@top5: 0.8492 prec@top5: 0.4762 loss_action_cls: 0.0378 2023/03/10 22:42:23 - mmengine - INFO - Epoch(train) [8][ 980/4451] lr: 2.8120e-06 eta: 10:44:54 time: 0.6487 data_time: 0.1279 memory: 51970 grad_norm: 0.1324 loss: 0.0367 recall@thr=0.5: 0.6862 prec@thr=0.5: 0.7500 recall@top3: 0.8511 prec@top3: 0.6897 recall@top5: 0.9500 prec@top5: 0.4828 loss_action_cls: 0.0367 2023/03/10 22:42:35 - mmengine - INFO - Epoch(train) [8][1000/4451] lr: 2.8114e-06 eta: 10:44:39 time: 0.6344 data_time: 0.0588 memory: 51970 grad_norm: 0.1383 loss: 0.0457 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7281 recall@top3: 0.8246 prec@top3: 0.5965 recall@top5: 0.9211 prec@top5: 0.4211 loss_action_cls: 0.0457 2023/03/10 22:42:48 - mmengine - INFO - Epoch(train) [8][1020/4451] lr: 2.8108e-06 eta: 10:44:23 time: 0.6190 data_time: 0.0303 memory: 51970 grad_norm: 0.1356 loss: 0.0352 recall@thr=0.5: 0.7049 prec@thr=0.5: 0.7840 recall@top3: 0.8469 prec@top3: 0.6420 recall@top5: 0.9235 prec@top5: 0.4370 loss_action_cls: 0.0352 2023/03/10 22:43:02 - mmengine - INFO - Epoch(train) [8][1040/4451] lr: 2.8102e-06 eta: 10:44:10 time: 0.7111 data_time: 0.0125 memory: 51970 grad_norm: 0.1329 loss: 0.0382 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.4667 recall@top3: 0.6667 prec@top3: 0.4333 recall@top5: 0.8667 prec@top5: 0.3600 loss_action_cls: 0.0382 2023/03/10 22:43:13 - mmengine - INFO - Epoch(train) [8][1060/4451] lr: 2.8095e-06 eta: 10:43:52 time: 0.5402 data_time: 0.0127 memory: 51970 grad_norm: 0.1378 loss: 0.0353 recall@thr=0.5: 0.8144 prec@thr=0.5: 0.9091 recall@top3: 0.9280 prec@top3: 0.8333 recall@top5: 0.9886 prec@top5: 0.5364 loss_action_cls: 0.0353 2023/03/10 22:43:26 - mmengine - INFO - Epoch(train) [8][1080/4451] lr: 2.8089e-06 eta: 10:43:37 time: 0.6440 data_time: 0.0124 memory: 51970 grad_norm: 0.1279 loss: 0.0401 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.9211 recall@top3: 0.8921 prec@top3: 0.7895 recall@top5: 0.9868 prec@top5: 0.5579 loss_action_cls: 0.0401 2023/03/10 22:43:38 - mmengine - INFO - Epoch(train) [8][1100/4451] lr: 2.8083e-06 eta: 10:43:21 time: 0.5997 data_time: 0.0132 memory: 51970 grad_norm: 0.1360 loss: 0.0424 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7218 recall@top3: 0.8141 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4385 loss_action_cls: 0.0424 2023/03/10 22:43:51 - mmengine - INFO - Epoch(train) [8][1120/4451] lr: 2.8076e-06 eta: 10:43:07 time: 0.6806 data_time: 0.0129 memory: 51970 grad_norm: 0.1240 loss: 0.0391 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.7396 recall@top3: 0.7708 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.4000 loss_action_cls: 0.0391 2023/03/10 22:44:04 - mmengine - INFO - Epoch(train) [8][1140/4451] lr: 2.8070e-06 eta: 10:42:51 time: 0.6268 data_time: 0.0128 memory: 51970 grad_norm: 0.1307 loss: 0.0414 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7544 recall@top3: 0.9386 prec@top3: 0.7193 recall@top5: 0.9561 prec@top5: 0.4421 loss_action_cls: 0.0414 2023/03/10 22:44:16 - mmengine - INFO - Epoch(train) [8][1160/4451] lr: 2.8064e-06 eta: 10:42:35 time: 0.5937 data_time: 0.0120 memory: 51970 grad_norm: 0.1280 loss: 0.0384 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8148 recall@top3: 0.9148 prec@top3: 0.5556 recall@top5: 0.9778 prec@top5: 0.3889 loss_action_cls: 0.0384 2023/03/10 22:44:30 - mmengine - INFO - Epoch(train) [8][1180/4451] lr: 2.8057e-06 eta: 10:42:22 time: 0.6936 data_time: 0.0127 memory: 51970 grad_norm: 0.1353 loss: 0.0395 recall@thr=0.5: 0.5098 prec@thr=0.5: 0.6471 recall@top3: 0.8431 prec@top3: 0.4706 recall@top5: 0.9706 prec@top5: 0.3294 loss_action_cls: 0.0395 2023/03/10 22:44:41 - mmengine - INFO - Epoch(train) [8][1200/4451] lr: 2.8051e-06 eta: 10:42:03 time: 0.5462 data_time: 0.0120 memory: 51970 grad_norm: 0.1363 loss: 0.0356 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7604 recall@top3: 0.8160 prec@top3: 0.7083 recall@top5: 0.9097 prec@top5: 0.4833 loss_action_cls: 0.0356 2023/03/10 22:44:53 - mmengine - INFO - Epoch(train) [8][1220/4451] lr: 2.8044e-06 eta: 10:41:49 time: 0.6445 data_time: 0.0127 memory: 51970 grad_norm: 0.1372 loss: 0.0374 recall@thr=0.5: 0.7608 prec@thr=0.5: 0.6961 recall@top3: 0.8255 prec@top3: 0.6275 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0374 2023/03/10 22:45:06 - mmengine - INFO - Epoch(train) [8][1240/4451] lr: 2.8038e-06 eta: 10:41:33 time: 0.6171 data_time: 0.0129 memory: 51970 grad_norm: 0.1289 loss: 0.0353 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8016 recall@top3: 0.8810 prec@top3: 0.7460 recall@top5: 0.9762 prec@top5: 0.5143 loss_action_cls: 0.0353 2023/03/10 22:45:18 - mmengine - INFO - Epoch(train) [8][1260/4451] lr: 2.8032e-06 eta: 10:41:18 time: 0.6347 data_time: 0.0125 memory: 51970 grad_norm: 0.1339 loss: 0.0409 recall@thr=0.5: 0.7031 prec@thr=0.5: 0.8854 recall@top3: 0.8229 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0409 2023/03/10 22:45:32 - mmengine - INFO - Epoch(train) [8][1280/4451] lr: 2.8025e-06 eta: 10:41:04 time: 0.6873 data_time: 0.0139 memory: 51970 grad_norm: 0.1304 loss: 0.0413 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.5877 recall@top3: 0.8421 prec@top3: 0.5088 recall@top5: 0.9298 prec@top5: 0.3579 loss_action_cls: 0.0413 2023/03/10 22:45:45 - mmengine - INFO - Epoch(train) [8][1300/4451] lr: 2.8019e-06 eta: 10:40:49 time: 0.6399 data_time: 0.0125 memory: 51970 grad_norm: 0.1307 loss: 0.0379 recall@thr=0.5: 0.6347 prec@thr=0.5: 0.6944 recall@top3: 0.7319 prec@top3: 0.5417 recall@top5: 0.8764 prec@top5: 0.4083 loss_action_cls: 0.0379 2023/03/10 22:45:58 - mmengine - INFO - Epoch(train) [8][1320/4451] lr: 2.8012e-06 eta: 10:40:35 time: 0.6466 data_time: 0.0127 memory: 51970 grad_norm: 0.1266 loss: 0.0367 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7658 recall@top3: 0.9583 prec@top3: 0.6500 recall@top5: 0.9833 prec@top5: 0.4000 loss_action_cls: 0.0367 2023/03/10 22:46:11 - mmengine - INFO - Epoch(train) [8][1340/4451] lr: 2.8006e-06 eta: 10:40:21 time: 0.6701 data_time: 0.0123 memory: 51970 grad_norm: 0.1288 loss: 0.0371 recall@thr=0.5: 0.6774 prec@thr=0.5: 0.6909 recall@top3: 0.8387 prec@top3: 0.6237 recall@top5: 0.8548 prec@top5: 0.3871 loss_action_cls: 0.0371 2023/03/10 22:46:24 - mmengine - INFO - Epoch(train) [8][1360/4451] lr: 2.7999e-06 eta: 10:40:05 time: 0.6231 data_time: 0.0125 memory: 51970 grad_norm: 0.1304 loss: 0.0380 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.8438 prec@top3: 0.7292 recall@top5: 0.9688 prec@top5: 0.5000 loss_action_cls: 0.0380 2023/03/10 22:46:35 - mmengine - INFO - Epoch(train) [8][1380/4451] lr: 2.7993e-06 eta: 10:39:47 time: 0.5590 data_time: 0.0130 memory: 51970 grad_norm: 0.1370 loss: 0.0375 recall@thr=0.5: 0.5533 prec@thr=0.5: 0.6500 recall@top3: 0.6967 prec@top3: 0.5500 recall@top5: 0.8567 prec@top5: 0.4300 loss_action_cls: 0.0375 2023/03/10 22:46:50 - mmengine - INFO - Epoch(train) [8][1400/4451] lr: 2.7986e-06 eta: 10:39:36 time: 0.7314 data_time: 0.0134 memory: 51970 grad_norm: 0.1261 loss: 0.0369 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8207 recall@top3: 0.8788 prec@top3: 0.8081 recall@top5: 0.9369 prec@top5: 0.5273 loss_action_cls: 0.0369 2023/03/10 22:47:02 - mmengine - INFO - Epoch(train) [8][1420/4451] lr: 2.7980e-06 eta: 10:39:19 time: 0.6096 data_time: 0.0119 memory: 51970 grad_norm: 0.1271 loss: 0.0410 recall@thr=0.5: 0.5439 prec@thr=0.5: 0.6140 recall@top3: 0.8070 prec@top3: 0.5789 recall@top5: 0.9825 prec@top5: 0.4211 loss_action_cls: 0.0410 2023/03/10 22:47:15 - mmengine - INFO - Epoch(train) [8][1440/4451] lr: 2.7973e-06 eta: 10:39:06 time: 0.6807 data_time: 0.0126 memory: 51970 grad_norm: 0.1288 loss: 0.0399 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.6739 recall@top3: 0.7464 prec@top3: 0.4928 recall@top5: 0.8768 prec@top5: 0.3478 loss_action_cls: 0.0399 2023/03/10 22:47:28 - mmengine - INFO - Epoch(train) [8][1460/4451] lr: 2.7967e-06 eta: 10:38:51 time: 0.6454 data_time: 0.0132 memory: 51970 grad_norm: 0.1405 loss: 0.0395 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7222 recall@top3: 0.8704 prec@top3: 0.4815 recall@top5: 0.9722 prec@top5: 0.3333 loss_action_cls: 0.0395 2023/03/10 22:47:42 - mmengine - INFO - Epoch(train) [8][1480/4451] lr: 2.7960e-06 eta: 10:38:37 time: 0.6668 data_time: 0.0127 memory: 51970 grad_norm: 0.1370 loss: 0.0408 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8431 recall@top3: 0.9216 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0408 2023/03/10 22:47:54 - mmengine - INFO - Epoch(train) [8][1500/4451] lr: 2.7954e-06 eta: 10:38:21 time: 0.6016 data_time: 0.0130 memory: 51970 grad_norm: 0.1360 loss: 0.0398 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8958 recall@top3: 0.8708 prec@top3: 0.8333 recall@top5: 0.9688 prec@top5: 0.5750 loss_action_cls: 0.0398 2023/03/10 22:48:06 - mmengine - INFO - Epoch(train) [8][1520/4451] lr: 2.7947e-06 eta: 10:38:05 time: 0.6277 data_time: 0.0121 memory: 51970 grad_norm: 0.1298 loss: 0.0397 recall@thr=0.5: 0.6065 prec@thr=0.5: 0.7139 recall@top3: 0.6759 prec@top3: 0.7037 recall@top5: 0.9167 prec@top5: 0.5778 loss_action_cls: 0.0397 2023/03/10 22:48:17 - mmengine - INFO - Epoch(train) [8][1540/4451] lr: 2.7940e-06 eta: 10:37:48 time: 0.5578 data_time: 0.0593 memory: 51970 grad_norm: 0.1326 loss: 0.0426 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7647 recall@top3: 0.9510 prec@top3: 0.7059 recall@top5: 0.9657 prec@top5: 0.4353 loss_action_cls: 0.0426 2023/03/10 22:48:30 - mmengine - INFO - Epoch(train) [8][1560/4451] lr: 2.7934e-06 eta: 10:37:33 time: 0.6380 data_time: 0.0229 memory: 51970 grad_norm: 0.1333 loss: 0.0426 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8333 recall@top3: 0.7843 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4941 loss_action_cls: 0.0426 2023/03/10 22:48:42 - mmengine - INFO - Epoch(train) [8][1580/4451] lr: 2.7927e-06 eta: 10:37:17 time: 0.6057 data_time: 0.1330 memory: 51970 grad_norm: 0.1301 loss: 0.0398 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6230 recall@top3: 0.8175 prec@top3: 0.5556 recall@top5: 0.9444 prec@top5: 0.3905 loss_action_cls: 0.0398 2023/03/10 22:48:57 - mmengine - INFO - Epoch(train) [8][1600/4451] lr: 2.7921e-06 eta: 10:37:04 time: 0.7151 data_time: 0.0732 memory: 51970 grad_norm: 0.1328 loss: 0.0396 recall@thr=0.5: 0.5213 prec@thr=0.5: 0.7407 recall@top3: 0.6602 prec@top3: 0.6481 recall@top5: 0.8259 prec@top5: 0.5111 loss_action_cls: 0.0396 2023/03/10 22:49:08 - mmengine - INFO - Epoch(train) [8][1620/4451] lr: 2.7914e-06 eta: 10:36:47 time: 0.5856 data_time: 0.0134 memory: 51970 grad_norm: 0.1320 loss: 0.0472 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.8039 recall@top3: 0.7010 prec@top3: 0.7059 recall@top5: 0.8676 prec@top5: 0.5176 loss_action_cls: 0.0472 2023/03/10 22:49:23 - mmengine - INFO - Epoch(train) [8][1640/4451] lr: 2.7907e-06 eta: 10:36:35 time: 0.7156 data_time: 0.0142 memory: 51970 grad_norm: 0.1335 loss: 0.0409 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7794 recall@top3: 0.8676 prec@top3: 0.7059 recall@top5: 0.9118 prec@top5: 0.4588 loss_action_cls: 0.0409 2023/03/10 22:49:35 - mmengine - INFO - Epoch(train) [8][1660/4451] lr: 2.7901e-06 eta: 10:36:20 time: 0.6314 data_time: 0.0114 memory: 51970 grad_norm: 0.1306 loss: 0.0403 recall@thr=0.5: 0.7125 prec@thr=0.5: 0.7833 recall@top3: 0.8583 prec@top3: 0.6167 recall@top5: 0.9167 prec@top5: 0.4100 loss_action_cls: 0.0403 2023/03/10 22:49:48 - mmengine - INFO - Epoch(train) [8][1680/4451] lr: 2.7894e-06 eta: 10:36:05 time: 0.6488 data_time: 0.0134 memory: 51970 grad_norm: 0.1335 loss: 0.0398 recall@thr=0.5: 0.5430 prec@thr=0.5: 0.6789 recall@top3: 0.5868 prec@top3: 0.6316 recall@top5: 0.7570 prec@top5: 0.5053 loss_action_cls: 0.0398 2023/03/10 22:50:02 - mmengine - INFO - Epoch(train) [8][1700/4451] lr: 2.7887e-06 eta: 10:35:51 time: 0.6622 data_time: 0.0126 memory: 51970 grad_norm: 0.1310 loss: 0.0388 recall@thr=0.5: 0.5787 prec@thr=0.5: 0.6991 recall@top3: 0.7407 prec@top3: 0.6574 recall@top5: 0.9005 prec@top5: 0.4944 loss_action_cls: 0.0388 2023/03/10 22:50:14 - mmengine - INFO - Epoch(train) [8][1720/4451] lr: 2.7881e-06 eta: 10:35:35 time: 0.6053 data_time: 0.0126 memory: 51970 grad_norm: 0.1387 loss: 0.0415 recall@thr=0.5: 0.6295 prec@thr=0.5: 0.8846 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.8846 prec@top5: 0.4769 loss_action_cls: 0.0415 2023/03/10 22:50:29 - mmengine - INFO - Epoch(train) [8][1740/4451] lr: 2.7874e-06 eta: 10:35:24 time: 0.7644 data_time: 0.0128 memory: 51970 grad_norm: 0.1292 loss: 0.0398 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.8986 recall@top3: 0.8659 prec@top3: 0.7391 recall@top5: 0.9312 prec@top5: 0.4957 loss_action_cls: 0.0398 2023/03/10 22:50:41 - mmengine - INFO - Epoch(train) [8][1760/4451] lr: 2.7867e-06 eta: 10:35:09 time: 0.6203 data_time: 0.0130 memory: 51970 grad_norm: 0.1415 loss: 0.0376 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7187 recall@top3: 0.7847 prec@top3: 0.6389 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0376 2023/03/10 22:50:54 - mmengine - INFO - Epoch(train) [8][1780/4451] lr: 2.7860e-06 eta: 10:34:54 time: 0.6501 data_time: 0.0143 memory: 51970 grad_norm: 0.1352 loss: 0.0430 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.6444 recall@top5: 0.8333 prec@top5: 0.3867 loss_action_cls: 0.0430 2023/03/10 22:51:05 - mmengine - INFO - Epoch(train) [8][1800/4451] lr: 2.7854e-06 eta: 10:34:36 time: 0.5489 data_time: 0.0124 memory: 51970 grad_norm: 0.1355 loss: 0.0399 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7500 recall@top3: 0.8148 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0399 2023/03/10 22:51:20 - mmengine - INFO - Epoch(train) [8][1820/4451] lr: 2.7847e-06 eta: 10:34:24 time: 0.7257 data_time: 0.0121 memory: 51970 grad_norm: 0.1347 loss: 0.0390 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.8077 recall@top3: 0.9231 prec@top3: 0.5897 recall@top5: 0.9615 prec@top5: 0.3692 loss_action_cls: 0.0390 2023/03/10 22:51:31 - mmengine - INFO - Epoch(train) [8][1840/4451] lr: 2.7840e-06 eta: 10:34:07 time: 0.5803 data_time: 0.0132 memory: 51970 grad_norm: 0.1352 loss: 0.0378 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5167 recall@top3: 0.7685 prec@top3: 0.4815 recall@top5: 0.9630 prec@top5: 0.3889 loss_action_cls: 0.0378 2023/03/10 22:51:35 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 22:51:45 - mmengine - INFO - Epoch(train) [8][1860/4451] lr: 2.7833e-06 eta: 10:33:53 time: 0.6789 data_time: 0.0184 memory: 51970 grad_norm: 0.1378 loss: 0.0395 recall@thr=0.5: 0.6456 prec@thr=0.5: 0.7368 recall@top3: 0.6509 prec@top3: 0.6140 recall@top5: 0.9561 prec@top5: 0.5368 loss_action_cls: 0.0395 2023/03/10 22:51:55 - mmengine - INFO - Epoch(train) [8][1880/4451] lr: 2.7827e-06 eta: 10:33:35 time: 0.5208 data_time: 0.0127 memory: 51970 grad_norm: 0.1296 loss: 0.0377 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7500 recall@top3: 0.7083 prec@top3: 0.5625 recall@top5: 0.9583 prec@top5: 0.4750 loss_action_cls: 0.0377 2023/03/10 22:52:11 - mmengine - INFO - Epoch(train) [8][1900/4451] lr: 2.7820e-06 eta: 10:33:24 time: 0.7653 data_time: 0.0463 memory: 51970 grad_norm: 0.1308 loss: 0.0387 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7368 recall@top3: 0.8386 prec@top3: 0.7193 recall@top5: 0.9500 prec@top5: 0.4842 loss_action_cls: 0.0387 2023/03/10 22:52:23 - mmengine - INFO - Epoch(train) [8][1920/4451] lr: 2.7813e-06 eta: 10:33:08 time: 0.6106 data_time: 0.0468 memory: 51970 grad_norm: 0.1338 loss: 0.0390 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8431 recall@top3: 0.9020 prec@top3: 0.7451 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0390 2023/03/10 22:52:36 - mmengine - INFO - Epoch(train) [8][1940/4451] lr: 2.7806e-06 eta: 10:32:53 time: 0.6422 data_time: 0.1345 memory: 51970 grad_norm: 0.1332 loss: 0.0375 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.8792 recall@top3: 0.9375 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4100 loss_action_cls: 0.0375 2023/03/10 22:52:49 - mmengine - INFO - Epoch(train) [8][1960/4451] lr: 2.7799e-06 eta: 10:32:39 time: 0.6493 data_time: 0.1477 memory: 51970 grad_norm: 0.1327 loss: 0.0423 recall@thr=0.5: 0.8310 prec@thr=0.5: 0.8333 recall@top3: 0.9149 prec@top3: 0.7241 recall@top5: 1.0000 prec@top5: 0.4897 loss_action_cls: 0.0423 2023/03/10 22:53:03 - mmengine - INFO - Epoch(train) [8][1980/4451] lr: 2.7793e-06 eta: 10:32:26 time: 0.7047 data_time: 0.2762 memory: 51970 grad_norm: 0.1340 loss: 0.0434 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.7500 recall@top3: 0.7250 prec@top3: 0.6833 recall@top5: 0.9500 prec@top5: 0.5100 loss_action_cls: 0.0434 2023/03/10 22:53:15 - mmengine - INFO - Epoch(train) [8][2000/4451] lr: 2.7786e-06 eta: 10:32:10 time: 0.6119 data_time: 0.1862 memory: 51970 grad_norm: 0.1307 loss: 0.0414 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.6728 recall@top3: 0.7778 prec@top3: 0.7531 recall@top5: 0.8827 prec@top5: 0.5259 loss_action_cls: 0.0414 2023/03/10 22:53:28 - mmengine - INFO - Epoch(train) [8][2020/4451] lr: 2.7779e-06 eta: 10:31:55 time: 0.6383 data_time: 0.2138 memory: 51970 grad_norm: 0.1341 loss: 0.0394 recall@thr=0.5: 0.8338 prec@thr=0.5: 0.8018 recall@top3: 0.8101 prec@top3: 0.7895 recall@top5: 0.9544 prec@top5: 0.5737 loss_action_cls: 0.0394 2023/03/10 22:53:41 - mmengine - INFO - Epoch(train) [8][2040/4451] lr: 2.7772e-06 eta: 10:31:41 time: 0.6512 data_time: 0.2249 memory: 51970 grad_norm: 0.1429 loss: 0.0393 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.6859 recall@top3: 0.8205 prec@top3: 0.5385 recall@top5: 0.8910 prec@top5: 0.3538 loss_action_cls: 0.0393 2023/03/10 22:53:55 - mmengine - INFO - Epoch(train) [8][2060/4451] lr: 2.7765e-06 eta: 10:31:27 time: 0.6881 data_time: 0.2633 memory: 51970 grad_norm: 0.1333 loss: 0.0374 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8214 recall@top3: 0.8750 prec@top3: 0.4881 recall@top5: 0.9464 prec@top5: 0.3143 loss_action_cls: 0.0374 2023/03/10 22:54:07 - mmengine - INFO - Epoch(train) [8][2080/4451] lr: 2.7758e-06 eta: 10:31:12 time: 0.6185 data_time: 0.1928 memory: 51970 grad_norm: 0.1334 loss: 0.0400 recall@thr=0.5: 0.6493 prec@thr=0.5: 0.8667 recall@top3: 0.7187 prec@top3: 0.8267 recall@top5: 0.8747 prec@top5: 0.6240 loss_action_cls: 0.0400 2023/03/10 22:54:22 - mmengine - INFO - Epoch(train) [8][2100/4451] lr: 2.7751e-06 eta: 10:31:01 time: 0.7662 data_time: 0.3372 memory: 51970 grad_norm: 0.1294 loss: 0.0423 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8333 recall@top3: 0.8507 prec@top3: 0.6806 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0423 2023/03/10 22:54:37 - mmengine - INFO - Epoch(train) [8][2120/4451] lr: 2.7744e-06 eta: 10:30:48 time: 0.7048 data_time: 0.2792 memory: 51970 grad_norm: 0.1343 loss: 0.0380 recall@thr=0.5: 0.7800 prec@thr=0.5: 0.7733 recall@top3: 0.8400 prec@top3: 0.5200 recall@top5: 0.9667 prec@top5: 0.3840 loss_action_cls: 0.0380 2023/03/10 22:54:50 - mmengine - INFO - Epoch(train) [8][2140/4451] lr: 2.7737e-06 eta: 10:30:35 time: 0.6768 data_time: 0.2525 memory: 51970 grad_norm: 0.1357 loss: 0.0354 recall@thr=0.5: 0.6212 prec@thr=0.5: 0.7008 recall@top3: 0.8333 prec@top3: 0.6212 recall@top5: 0.9545 prec@top5: 0.4364 loss_action_cls: 0.0354 2023/03/10 22:55:01 - mmengine - INFO - Epoch(train) [8][2160/4451] lr: 2.7730e-06 eta: 10:30:17 time: 0.5622 data_time: 0.1146 memory: 51970 grad_norm: 0.1378 loss: 0.0422 recall@thr=0.5: 0.3667 prec@thr=0.5: 0.5111 recall@top3: 0.7111 prec@top3: 0.4889 recall@top5: 0.8889 prec@top5: 0.3867 loss_action_cls: 0.0422 2023/03/10 22:55:15 - mmengine - INFO - Epoch(train) [8][2180/4451] lr: 2.7723e-06 eta: 10:30:03 time: 0.6670 data_time: 0.1086 memory: 51970 grad_norm: 0.1338 loss: 0.0380 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.7895 recall@top3: 0.9035 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.4737 loss_action_cls: 0.0380 2023/03/10 22:55:28 - mmengine - INFO - Epoch(train) [8][2200/4451] lr: 2.7717e-06 eta: 10:29:48 time: 0.6456 data_time: 0.1811 memory: 51970 grad_norm: 0.1336 loss: 0.0448 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.6478 recall@top3: 0.7556 prec@top3: 0.6000 recall@top5: 0.9111 prec@top5: 0.4667 loss_action_cls: 0.0448 2023/03/10 22:55:42 - mmengine - INFO - Epoch(train) [8][2220/4451] lr: 2.7710e-06 eta: 10:29:36 time: 0.7090 data_time: 0.2297 memory: 51970 grad_norm: 0.1407 loss: 0.0400 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.8267 recall@top3: 0.7767 prec@top3: 0.7067 recall@top5: 0.9000 prec@top5: 0.5040 loss_action_cls: 0.0400 2023/03/10 22:55:54 - mmengine - INFO - Epoch(train) [8][2240/4451] lr: 2.7703e-06 eta: 10:29:20 time: 0.6170 data_time: 0.1928 memory: 51970 grad_norm: 0.1432 loss: 0.0401 recall@thr=0.5: 0.6351 prec@thr=0.5: 0.8095 recall@top3: 0.7899 prec@top3: 0.6667 recall@top5: 0.9196 prec@top5: 0.4857 loss_action_cls: 0.0401 2023/03/10 22:56:06 - mmengine - INFO - Epoch(train) [8][2260/4451] lr: 2.7696e-06 eta: 10:29:04 time: 0.6107 data_time: 0.1876 memory: 51970 grad_norm: 0.1223 loss: 0.0441 recall@thr=0.5: 0.5027 prec@thr=0.5: 0.5767 recall@top3: 0.6360 prec@top3: 0.5867 recall@top5: 0.8353 prec@top5: 0.4640 loss_action_cls: 0.0441 2023/03/10 22:56:19 - mmengine - INFO - Epoch(train) [8][2280/4451] lr: 2.7689e-06 eta: 10:28:50 time: 0.6552 data_time: 0.2345 memory: 51970 grad_norm: 0.1370 loss: 0.0433 recall@thr=0.5: 0.5046 prec@thr=0.5: 0.5833 recall@top3: 0.7130 prec@top3: 0.6111 recall@top5: 0.7778 prec@top5: 0.4111 loss_action_cls: 0.0433 2023/03/10 22:56:32 - mmengine - INFO - Epoch(train) [8][2300/4451] lr: 2.7682e-06 eta: 10:28:35 time: 0.6260 data_time: 0.1980 memory: 51970 grad_norm: 0.1325 loss: 0.0392 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.6842 recall@top3: 0.7632 prec@top3: 0.6140 recall@top5: 0.7982 prec@top5: 0.3895 loss_action_cls: 0.0392 2023/03/10 22:56:44 - mmengine - INFO - Epoch(train) [8][2320/4451] lr: 2.7674e-06 eta: 10:28:19 time: 0.6223 data_time: 0.1382 memory: 51970 grad_norm: 0.1363 loss: 0.0369 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.7544 recall@top3: 0.8596 prec@top3: 0.7719 recall@top5: 0.9561 prec@top5: 0.5158 loss_action_cls: 0.0369 2023/03/10 22:56:57 - mmengine - INFO - Epoch(train) [8][2340/4451] lr: 2.7667e-06 eta: 10:28:04 time: 0.6411 data_time: 0.2174 memory: 51970 grad_norm: 0.1348 loss: 0.0383 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7833 recall@top3: 0.8500 prec@top3: 0.6167 recall@top5: 0.9333 prec@top5: 0.4100 loss_action_cls: 0.0383 2023/03/10 22:57:09 - mmengine - INFO - Epoch(train) [8][2360/4451] lr: 2.7660e-06 eta: 10:27:49 time: 0.6081 data_time: 0.1841 memory: 51970 grad_norm: 0.1318 loss: 0.0417 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.5714 recall@top3: 0.7302 prec@top3: 0.5556 recall@top5: 0.8492 prec@top5: 0.3905 loss_action_cls: 0.0417 2023/03/10 22:57:22 - mmengine - INFO - Epoch(train) [8][2380/4451] lr: 2.7653e-06 eta: 10:27:33 time: 0.6277 data_time: 0.2080 memory: 51970 grad_norm: 0.1363 loss: 0.0413 recall@thr=0.5: 0.5217 prec@thr=0.5: 0.4783 recall@top3: 0.8043 prec@top3: 0.4203 recall@top5: 0.9130 prec@top5: 0.2783 loss_action_cls: 0.0413 2023/03/10 22:57:34 - mmengine - INFO - Epoch(train) [8][2400/4451] lr: 2.7646e-06 eta: 10:27:18 time: 0.6174 data_time: 0.1969 memory: 51970 grad_norm: 0.1400 loss: 0.0414 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8250 recall@top3: 0.8083 prec@top3: 0.6500 recall@top5: 0.8875 prec@top5: 0.4500 loss_action_cls: 0.0414 2023/03/10 22:57:48 - mmengine - INFO - Epoch(train) [8][2420/4451] lr: 2.7639e-06 eta: 10:27:04 time: 0.6754 data_time: 0.2269 memory: 51970 grad_norm: 0.1390 loss: 0.0414 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8437 recall@top3: 0.7135 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.5375 loss_action_cls: 0.0414 2023/03/10 22:58:00 - mmengine - INFO - Epoch(train) [8][2440/4451] lr: 2.7632e-06 eta: 10:26:49 time: 0.6295 data_time: 0.1016 memory: 51970 grad_norm: 0.1332 loss: 0.0412 recall@thr=0.5: 0.6214 prec@thr=0.5: 0.7778 recall@top3: 0.8389 prec@top3: 0.7143 recall@top5: 0.9246 prec@top5: 0.4952 loss_action_cls: 0.0412 2023/03/10 22:58:13 - mmengine - INFO - Epoch(train) [8][2460/4451] lr: 2.7625e-06 eta: 10:26:34 time: 0.6466 data_time: 0.1090 memory: 51970 grad_norm: 0.1314 loss: 0.0386 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7302 recall@top3: 0.8889 prec@top3: 0.6349 recall@top5: 0.9206 prec@top5: 0.4000 loss_action_cls: 0.0386 2023/03/10 22:58:27 - mmengine - INFO - Epoch(train) [8][2480/4451] lr: 2.7618e-06 eta: 10:26:22 time: 0.7058 data_time: 0.0397 memory: 51970 grad_norm: 0.1389 loss: 0.0405 recall@thr=0.5: 0.7759 prec@thr=0.5: 0.7529 recall@top3: 0.8649 prec@top3: 0.7356 recall@top5: 0.9914 prec@top5: 0.5310 loss_action_cls: 0.0405 2023/03/10 22:58:39 - mmengine - INFO - Epoch(train) [8][2500/4451] lr: 2.7611e-06 eta: 10:26:05 time: 0.5806 data_time: 0.0118 memory: 51970 grad_norm: 0.1297 loss: 0.0401 recall@thr=0.5: 0.7743 prec@thr=0.5: 0.7986 recall@top3: 0.8576 prec@top3: 0.7083 recall@top5: 0.9792 prec@top5: 0.5083 loss_action_cls: 0.0401 2023/03/10 22:58:53 - mmengine - INFO - Epoch(train) [8][2520/4451] lr: 2.7604e-06 eta: 10:25:53 time: 0.7201 data_time: 0.0157 memory: 51970 grad_norm: 0.1301 loss: 0.0423 recall@thr=0.5: 0.6196 prec@thr=0.5: 0.6123 recall@top3: 0.8152 prec@top3: 0.5797 recall@top5: 1.0000 prec@top5: 0.4609 loss_action_cls: 0.0423 2023/03/10 22:59:05 - mmengine - INFO - Epoch(train) [8][2540/4451] lr: 2.7596e-06 eta: 10:25:36 time: 0.5985 data_time: 0.0128 memory: 51970 grad_norm: 0.1347 loss: 0.0399 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8590 recall@top3: 0.8974 prec@top3: 0.6410 recall@top5: 0.9744 prec@top5: 0.4308 loss_action_cls: 0.0399 2023/03/10 22:59:18 - mmengine - INFO - Epoch(train) [8][2560/4451] lr: 2.7589e-06 eta: 10:25:22 time: 0.6514 data_time: 0.0118 memory: 51970 grad_norm: 0.1349 loss: 0.0356 recall@thr=0.5: 0.6859 prec@thr=0.5: 0.7981 recall@top3: 0.7596 prec@top3: 0.6667 recall@top5: 0.8365 prec@top5: 0.4538 loss_action_cls: 0.0356 2023/03/10 22:59:31 - mmengine - INFO - Epoch(train) [8][2580/4451] lr: 2.7582e-06 eta: 10:25:07 time: 0.6430 data_time: 0.0193 memory: 51970 grad_norm: 0.1342 loss: 0.0381 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8214 recall@top3: 0.9286 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.3857 loss_action_cls: 0.0381 2023/03/10 22:59:44 - mmengine - INFO - Epoch(train) [8][2600/4451] lr: 2.7575e-06 eta: 10:24:53 time: 0.6571 data_time: 0.0449 memory: 51970 grad_norm: 0.1330 loss: 0.0394 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8222 recall@top3: 0.8333 prec@top3: 0.7111 recall@top5: 0.9444 prec@top5: 0.4933 loss_action_cls: 0.0394 2023/03/10 22:59:58 - mmengine - INFO - Epoch(train) [8][2620/4451] lr: 2.7568e-06 eta: 10:24:40 time: 0.6968 data_time: 0.2535 memory: 51970 grad_norm: 0.1295 loss: 0.0365 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7632 recall@top3: 0.8421 prec@top3: 0.5965 recall@top5: 0.9298 prec@top5: 0.4000 loss_action_cls: 0.0365 2023/03/10 23:00:10 - mmengine - INFO - Epoch(train) [8][2640/4451] lr: 2.7560e-06 eta: 10:24:24 time: 0.5997 data_time: 0.1569 memory: 51970 grad_norm: 0.1373 loss: 0.0346 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.5463 recall@top3: 0.7037 prec@top3: 0.4444 recall@top5: 0.7778 prec@top5: 0.3111 loss_action_cls: 0.0346 2023/03/10 23:00:24 - mmengine - INFO - Epoch(train) [8][2660/4451] lr: 2.7553e-06 eta: 10:24:11 time: 0.6957 data_time: 0.2685 memory: 51970 grad_norm: 0.1378 loss: 0.0432 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7572 recall@top3: 0.8406 prec@top3: 0.6957 recall@top5: 0.8913 prec@top5: 0.4522 loss_action_cls: 0.0432 2023/03/10 23:00:37 - mmengine - INFO - Epoch(train) [8][2680/4451] lr: 2.7546e-06 eta: 10:23:56 time: 0.6422 data_time: 0.1302 memory: 51970 grad_norm: 0.1319 loss: 0.0378 recall@thr=0.5: 0.4545 prec@thr=0.5: 0.5076 recall@top3: 0.6894 prec@top3: 0.4091 recall@top5: 0.8636 prec@top5: 0.3273 loss_action_cls: 0.0378 2023/03/10 23:00:49 - mmengine - INFO - Epoch(train) [8][2700/4451] lr: 2.7539e-06 eta: 10:23:39 time: 0.5871 data_time: 0.0691 memory: 51970 grad_norm: 0.1333 loss: 0.0399 recall@thr=0.5: 0.6233 prec@thr=0.5: 0.6833 recall@top3: 0.7567 prec@top3: 0.6267 recall@top5: 0.9633 prec@top5: 0.4800 loss_action_cls: 0.0399 2023/03/10 23:01:04 - mmengine - INFO - Epoch(train) [8][2720/4451] lr: 2.7531e-06 eta: 10:23:29 time: 0.7708 data_time: 0.0245 memory: 51970 grad_norm: 0.1307 loss: 0.0380 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6875 recall@top3: 0.8542 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4625 loss_action_cls: 0.0380 2023/03/10 23:01:16 - mmengine - INFO - Epoch(train) [8][2740/4451] lr: 2.7524e-06 eta: 10:23:12 time: 0.5679 data_time: 0.0136 memory: 51970 grad_norm: 0.1308 loss: 0.0373 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6806 recall@top3: 0.7593 prec@top3: 0.6111 recall@top5: 0.8426 prec@top5: 0.4111 loss_action_cls: 0.0373 2023/03/10 23:01:31 - mmengine - INFO - Epoch(train) [8][2760/4451] lr: 2.7517e-06 eta: 10:23:02 time: 0.7900 data_time: 0.0123 memory: 51970 grad_norm: 0.1355 loss: 0.0431 recall@thr=0.5: 0.6886 prec@thr=0.5: 0.8816 recall@top3: 0.6798 prec@top3: 0.5789 recall@top5: 0.8904 prec@top5: 0.4632 loss_action_cls: 0.0431 2023/03/10 23:01:45 - mmengine - INFO - Epoch(train) [8][2780/4451] lr: 2.7510e-06 eta: 10:22:48 time: 0.6652 data_time: 0.0132 memory: 51970 grad_norm: 0.1386 loss: 0.0380 recall@thr=0.5: 0.5343 prec@thr=0.5: 0.6667 recall@top3: 0.8186 prec@top3: 0.6471 recall@top5: 0.9657 prec@top5: 0.4588 loss_action_cls: 0.0380 2023/03/10 23:01:58 - mmengine - INFO - Epoch(train) [8][2800/4451] lr: 2.7502e-06 eta: 10:22:33 time: 0.6399 data_time: 0.0135 memory: 51970 grad_norm: 0.1345 loss: 0.0394 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7308 recall@top3: 0.9615 prec@top3: 0.5897 recall@top5: 1.0000 prec@top5: 0.3692 loss_action_cls: 0.0394 2023/03/10 23:02:11 - mmengine - INFO - Epoch(train) [8][2820/4451] lr: 2.7495e-06 eta: 10:22:19 time: 0.6782 data_time: 0.0122 memory: 51970 grad_norm: 0.1365 loss: 0.0366 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9167 recall@top3: 0.8981 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0366 2023/03/10 23:02:27 - mmengine - INFO - Epoch(train) [8][2840/4451] lr: 2.7488e-06 eta: 10:22:09 time: 0.7686 data_time: 0.0135 memory: 51970 grad_norm: 0.1370 loss: 0.0409 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8409 recall@top3: 0.8333 prec@top3: 0.7273 recall@top5: 0.9091 prec@top5: 0.4909 loss_action_cls: 0.0409 2023/03/10 23:02:28 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 23:02:40 - mmengine - INFO - Epoch(train) [8][2860/4451] lr: 2.7480e-06 eta: 10:21:55 time: 0.6734 data_time: 0.0130 memory: 51970 grad_norm: 0.1415 loss: 0.0381 recall@thr=0.5: 0.4321 prec@thr=0.5: 0.6420 recall@top3: 0.6728 prec@top3: 0.6049 recall@top5: 0.8179 prec@top5: 0.4444 loss_action_cls: 0.0381 2023/03/10 23:02:53 - mmengine - INFO - Epoch(train) [8][2880/4451] lr: 2.7473e-06 eta: 10:21:41 time: 0.6554 data_time: 0.0128 memory: 51970 grad_norm: 0.1355 loss: 0.0398 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6865 recall@top3: 0.8770 prec@top3: 0.6349 recall@top5: 0.9881 prec@top5: 0.4286 loss_action_cls: 0.0398 2023/03/10 23:03:42 - mmengine - INFO - Epoch(train) [8][2900/4451] lr: 2.7466e-06 eta: 10:22:24 time: 2.4358 data_time: 0.0142 memory: 51970 grad_norm: 0.1379 loss: 0.0435 recall@thr=0.5: 0.7087 prec@thr=0.5: 0.9033 recall@top3: 0.7993 prec@top3: 0.8267 recall@top5: 0.9600 prec@top5: 0.6240 loss_action_cls: 0.0435 2023/03/10 23:03:56 - mmengine - INFO - Epoch(train) [8][2920/4451] lr: 2.7458e-06 eta: 10:22:11 time: 0.7151 data_time: 0.0121 memory: 51970 grad_norm: 0.1328 loss: 0.0387 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9250 recall@top3: 0.9500 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0387 2023/03/10 23:04:08 - mmengine - INFO - Epoch(train) [8][2940/4451] lr: 2.7451e-06 eta: 10:21:55 time: 0.6059 data_time: 0.0123 memory: 51970 grad_norm: 0.1396 loss: 0.0386 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6500 recall@top3: 0.7250 prec@top3: 0.6167 recall@top5: 0.8625 prec@top5: 0.4500 loss_action_cls: 0.0386 2023/03/10 23:04:25 - mmengine - INFO - Epoch(train) [8][2960/4451] lr: 2.7443e-06 eta: 10:21:47 time: 0.8259 data_time: 0.0120 memory: 51970 grad_norm: 0.1311 loss: 0.0394 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7667 recall@top3: 0.9000 prec@top3: 0.5167 recall@top5: 0.9750 prec@top5: 0.3500 loss_action_cls: 0.0394 2023/03/10 23:04:35 - mmengine - INFO - Epoch(train) [8][2980/4451] lr: 2.7436e-06 eta: 10:21:27 time: 0.5050 data_time: 0.0121 memory: 51970 grad_norm: 0.1320 loss: 0.0376 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8512 recall@top3: 0.7976 prec@top3: 0.7619 recall@top5: 0.9464 prec@top5: 0.5571 loss_action_cls: 0.0376 2023/03/10 23:04:48 - mmengine - INFO - Epoch(train) [8][3000/4451] lr: 2.7429e-06 eta: 10:21:13 time: 0.6590 data_time: 0.0127 memory: 51970 grad_norm: 0.1324 loss: 0.0396 recall@thr=0.5: 0.5877 prec@thr=0.5: 0.7763 recall@top3: 0.7675 prec@top3: 0.7018 recall@top5: 0.8904 prec@top5: 0.4947 loss_action_cls: 0.0396 2023/03/10 23:05:02 - mmengine - INFO - Epoch(train) [8][3020/4451] lr: 2.7421e-06 eta: 10:21:01 time: 0.7208 data_time: 0.0124 memory: 51970 grad_norm: 0.1283 loss: 0.0367 recall@thr=0.5: 0.6354 prec@thr=0.5: 0.6979 recall@top3: 0.8021 prec@top3: 0.4792 recall@top5: 0.9062 prec@top5: 0.3375 loss_action_cls: 0.0367 2023/03/10 23:05:15 - mmengine - INFO - Epoch(train) [8][3040/4451] lr: 2.7414e-06 eta: 10:20:45 time: 0.6129 data_time: 0.0130 memory: 51970 grad_norm: 0.1379 loss: 0.0418 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7533 recall@top3: 0.7667 prec@top3: 0.6133 recall@top5: 0.9000 prec@top5: 0.4560 loss_action_cls: 0.0418 2023/03/10 23:05:29 - mmengine - INFO - Epoch(train) [8][3060/4451] lr: 2.7406e-06 eta: 10:20:33 time: 0.7266 data_time: 0.0155 memory: 51970 grad_norm: 0.1264 loss: 0.0393 recall@thr=0.5: 0.5231 prec@thr=0.5: 0.6296 recall@top3: 0.8287 prec@top3: 0.4444 recall@top5: 0.9444 prec@top5: 0.3333 loss_action_cls: 0.0393 2023/03/10 23:05:41 - mmengine - INFO - Epoch(train) [8][3080/4451] lr: 2.7399e-06 eta: 10:20:17 time: 0.5928 data_time: 0.0123 memory: 51970 grad_norm: 0.1328 loss: 0.0403 recall@thr=0.5: 0.7196 prec@thr=0.5: 0.7645 recall@top3: 0.8275 prec@top3: 0.7101 recall@top5: 0.9464 prec@top5: 0.5043 loss_action_cls: 0.0403 2023/03/10 23:05:55 - mmengine - INFO - Epoch(train) [8][3100/4451] lr: 2.7391e-06 eta: 10:20:04 time: 0.6989 data_time: 0.0136 memory: 51970 grad_norm: 0.1273 loss: 0.0402 recall@thr=0.5: 0.8718 prec@thr=0.5: 0.7949 recall@top3: 0.9231 prec@top3: 0.6410 recall@top5: 0.9487 prec@top5: 0.4000 loss_action_cls: 0.0402 2023/03/10 23:06:08 - mmengine - INFO - Epoch(train) [8][3120/4451] lr: 2.7384e-06 eta: 10:19:49 time: 0.6324 data_time: 0.0120 memory: 51970 grad_norm: 0.1342 loss: 0.0376 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.8500 recall@top3: 0.7625 prec@top3: 0.6333 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0376 2023/03/10 23:06:21 - mmengine - INFO - Epoch(train) [8][3140/4451] lr: 2.7376e-06 eta: 10:19:35 time: 0.6704 data_time: 0.0129 memory: 51970 grad_norm: 0.1301 loss: 0.0393 recall@thr=0.5: 0.7522 prec@thr=0.5: 0.7464 recall@top3: 0.7986 prec@top3: 0.6522 recall@top5: 0.9565 prec@top5: 0.4870 loss_action_cls: 0.0393 2023/03/10 23:06:33 - mmengine - INFO - Epoch(train) [8][3160/4451] lr: 2.7369e-06 eta: 10:19:18 time: 0.5712 data_time: 0.0128 memory: 51970 grad_norm: 0.1370 loss: 0.0372 recall@thr=0.5: 0.6406 prec@thr=0.5: 0.6979 recall@top3: 0.7969 prec@top3: 0.5625 recall@top5: 0.9062 prec@top5: 0.4000 loss_action_cls: 0.0372 2023/03/10 23:06:45 - mmengine - INFO - Epoch(train) [8][3180/4451] lr: 2.7361e-06 eta: 10:19:03 time: 0.6291 data_time: 0.0130 memory: 51970 grad_norm: 0.1393 loss: 0.0395 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8250 recall@top3: 0.9167 prec@top3: 0.6833 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0395 2023/03/10 23:06:57 - mmengine - INFO - Epoch(train) [8][3200/4451] lr: 2.7354e-06 eta: 10:18:46 time: 0.5814 data_time: 0.0119 memory: 51970 grad_norm: 0.1329 loss: 0.0418 recall@thr=0.5: 0.8269 prec@thr=0.5: 0.8237 recall@top3: 0.9327 prec@top3: 0.6026 recall@top5: 1.0000 prec@top5: 0.3923 loss_action_cls: 0.0418 2023/03/10 23:07:11 - mmengine - INFO - Epoch(train) [8][3220/4451] lr: 2.7346e-06 eta: 10:18:33 time: 0.6892 data_time: 0.0124 memory: 51970 grad_norm: 0.1382 loss: 0.0368 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6742 recall@top3: 0.7417 prec@top3: 0.7000 recall@top5: 0.9833 prec@top5: 0.5800 loss_action_cls: 0.0368 2023/03/10 23:07:23 - mmengine - INFO - Epoch(train) [8][3240/4451] lr: 2.7339e-06 eta: 10:18:18 time: 0.6368 data_time: 0.0124 memory: 51970 grad_norm: 0.1382 loss: 0.0402 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.7833 recall@top3: 0.8311 prec@top3: 0.7778 recall@top5: 0.9156 prec@top5: 0.5133 loss_action_cls: 0.0402 2023/03/10 23:07:38 - mmengine - INFO - Epoch(train) [8][3260/4451] lr: 2.7331e-06 eta: 10:18:06 time: 0.7500 data_time: 0.0125 memory: 51970 grad_norm: 0.1352 loss: 0.0380 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7917 recall@top3: 0.9083 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0380 2023/03/10 23:07:50 - mmengine - INFO - Epoch(train) [8][3280/4451] lr: 2.7324e-06 eta: 10:17:50 time: 0.6031 data_time: 0.0129 memory: 51970 grad_norm: 0.1387 loss: 0.0359 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6333 recall@top3: 0.8167 prec@top3: 0.5667 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0359 2023/03/10 23:08:04 - mmengine - INFO - Epoch(train) [8][3300/4451] lr: 2.7316e-06 eta: 10:17:37 time: 0.6959 data_time: 0.0123 memory: 51970 grad_norm: 0.1302 loss: 0.0427 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.7941 recall@top3: 0.9608 prec@top3: 0.5882 recall@top5: 1.0000 prec@top5: 0.3765 loss_action_cls: 0.0427 2023/03/10 23:08:16 - mmengine - INFO - Epoch(train) [8][3320/4451] lr: 2.7308e-06 eta: 10:17:21 time: 0.5816 data_time: 0.0130 memory: 51970 grad_norm: 0.1254 loss: 0.0418 recall@thr=0.5: 0.3519 prec@thr=0.5: 0.4630 recall@top3: 0.6620 prec@top3: 0.4630 recall@top5: 0.7269 prec@top5: 0.3111 loss_action_cls: 0.0418 2023/03/10 23:08:30 - mmengine - INFO - Epoch(train) [8][3340/4451] lr: 2.7301e-06 eta: 10:17:08 time: 0.6945 data_time: 0.0118 memory: 51970 grad_norm: 0.1357 loss: 0.0421 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7778 recall@top3: 0.8056 prec@top3: 0.5000 recall@top5: 0.8426 prec@top5: 0.3222 loss_action_cls: 0.0421 2023/03/10 23:08:43 - mmengine - INFO - Epoch(train) [8][3360/4451] lr: 2.7293e-06 eta: 10:16:54 time: 0.6688 data_time: 0.0134 memory: 51970 grad_norm: 0.1293 loss: 0.0412 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.4667 recall@top3: 0.7333 prec@top3: 0.3778 recall@top5: 0.9000 prec@top5: 0.2667 loss_action_cls: 0.0412 2023/03/10 23:08:58 - mmengine - INFO - Epoch(train) [8][3380/4451] lr: 2.7286e-06 eta: 10:16:42 time: 0.7248 data_time: 0.0134 memory: 51970 grad_norm: 0.1322 loss: 0.0369 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.7609 recall@top3: 0.7899 prec@top3: 0.6522 recall@top5: 0.8841 prec@top5: 0.4522 loss_action_cls: 0.0369 2023/03/10 23:09:10 - mmengine - INFO - Epoch(train) [8][3400/4451] lr: 2.7278e-06 eta: 10:16:25 time: 0.5917 data_time: 0.0158 memory: 51970 grad_norm: 0.1208 loss: 0.0398 recall@thr=0.5: 0.6877 prec@thr=0.5: 0.7391 recall@top3: 0.7949 prec@top3: 0.6957 recall@top5: 0.8783 prec@top5: 0.4870 loss_action_cls: 0.0398 2023/03/10 23:09:23 - mmengine - INFO - Epoch(train) [8][3420/4451] lr: 2.7270e-06 eta: 10:16:11 time: 0.6557 data_time: 0.0132 memory: 51970 grad_norm: 0.1301 loss: 0.0377 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.7222 recall@top3: 0.8657 prec@top3: 0.6667 recall@top5: 0.9815 prec@top5: 0.4778 loss_action_cls: 0.0377 2023/03/10 23:09:35 - mmengine - INFO - Epoch(train) [8][3440/4451] lr: 2.7263e-06 eta: 10:15:55 time: 0.5928 data_time: 0.0359 memory: 51970 grad_norm: 0.1290 loss: 0.0374 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6250 recall@top3: 0.7500 prec@top3: 0.5139 recall@top5: 0.8125 prec@top5: 0.3500 loss_action_cls: 0.0374 2023/03/10 23:09:48 - mmengine - INFO - Epoch(train) [8][3460/4451] lr: 2.7255e-06 eta: 10:15:40 time: 0.6519 data_time: 0.1315 memory: 51970 grad_norm: 0.1362 loss: 0.0356 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8860 recall@top3: 0.8947 prec@top3: 0.8070 recall@top5: 0.9737 prec@top5: 0.5368 loss_action_cls: 0.0356 2023/03/10 23:10:00 - mmengine - INFO - Epoch(train) [8][3480/4451] lr: 2.7247e-06 eta: 10:15:24 time: 0.6116 data_time: 0.0398 memory: 51970 grad_norm: 0.1252 loss: 0.0378 recall@thr=0.5: 0.6360 prec@thr=0.5: 0.6316 recall@top3: 0.7412 prec@top3: 0.6491 recall@top5: 0.8947 prec@top5: 0.4947 loss_action_cls: 0.0378 2023/03/10 23:10:13 - mmengine - INFO - Epoch(train) [8][3500/4451] lr: 2.7240e-06 eta: 10:15:10 time: 0.6645 data_time: 0.0125 memory: 51970 grad_norm: 0.1378 loss: 0.0397 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8542 recall@top3: 0.8646 prec@top3: 0.6042 recall@top5: 0.9479 prec@top5: 0.4125 loss_action_cls: 0.0397 2023/03/10 23:10:26 - mmengine - INFO - Epoch(train) [8][3520/4451] lr: 2.7232e-06 eta: 10:14:56 time: 0.6385 data_time: 0.0125 memory: 51970 grad_norm: 0.1314 loss: 0.0380 recall@thr=0.5: 0.6775 prec@thr=0.5: 0.7319 recall@top3: 0.7790 prec@top3: 0.5797 recall@top5: 0.8986 prec@top5: 0.4174 loss_action_cls: 0.0380 2023/03/10 23:10:39 - mmengine - INFO - Epoch(train) [8][3540/4451] lr: 2.7224e-06 eta: 10:14:41 time: 0.6416 data_time: 0.0225 memory: 51970 grad_norm: 0.1370 loss: 0.0367 recall@thr=0.5: 0.9216 prec@thr=0.5: 0.8922 recall@top3: 0.8922 prec@top3: 0.6078 recall@top5: 0.9804 prec@top5: 0.4353 loss_action_cls: 0.0367 2023/03/10 23:10:52 - mmengine - INFO - Epoch(train) [8][3560/4451] lr: 2.7216e-06 eta: 10:14:26 time: 0.6506 data_time: 0.0284 memory: 51970 grad_norm: 0.1313 loss: 0.0415 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8889 recall@top3: 0.8259 prec@top3: 0.7407 recall@top5: 0.9444 prec@top5: 0.5333 loss_action_cls: 0.0415 2023/03/10 23:11:06 - mmengine - INFO - Epoch(train) [8][3580/4451] lr: 2.7209e-06 eta: 10:14:14 time: 0.7310 data_time: 0.0406 memory: 51970 grad_norm: 0.1359 loss: 0.0395 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8950 recall@top3: 0.8250 prec@top3: 0.6500 recall@top5: 0.9583 prec@top5: 0.4600 loss_action_cls: 0.0395 2023/03/10 23:11:18 - mmengine - INFO - Epoch(train) [8][3600/4451] lr: 2.7201e-06 eta: 10:13:58 time: 0.5750 data_time: 0.0122 memory: 51970 grad_norm: 0.1330 loss: 0.0430 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7083 recall@top3: 0.7167 prec@top3: 0.5000 recall@top5: 0.8250 prec@top5: 0.3700 loss_action_cls: 0.0430 2023/03/10 23:11:31 - mmengine - INFO - Epoch(train) [8][3620/4451] lr: 2.7193e-06 eta: 10:13:43 time: 0.6606 data_time: 0.0137 memory: 51970 grad_norm: 0.1429 loss: 0.0406 recall@thr=0.5: 0.4333 prec@thr=0.5: 0.5750 recall@top3: 0.6125 prec@top3: 0.4333 recall@top5: 0.8500 prec@top5: 0.3600 loss_action_cls: 0.0406 2023/03/10 23:11:43 - mmengine - INFO - Epoch(train) [8][3640/4451] lr: 2.7185e-06 eta: 10:13:27 time: 0.5815 data_time: 0.0128 memory: 51970 grad_norm: 0.1288 loss: 0.0385 recall@thr=0.5: 0.7513 prec@thr=0.5: 0.8077 recall@top3: 0.7897 prec@top3: 0.7436 recall@top5: 0.8859 prec@top5: 0.5154 loss_action_cls: 0.0385 2023/03/10 23:11:56 - mmengine - INFO - Epoch(train) [8][3660/4451] lr: 2.7178e-06 eta: 10:13:13 time: 0.6713 data_time: 0.0235 memory: 51970 grad_norm: 0.1391 loss: 0.0393 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.8696 recall@top3: 0.6957 prec@top3: 0.5942 recall@top5: 0.9348 prec@top5: 0.4870 loss_action_cls: 0.0393 2023/03/10 23:13:14 - mmengine - INFO - Epoch(train) [8][3680/4451] lr: 2.7170e-06 eta: 10:14:39 time: 3.8714 data_time: 0.0121 memory: 51970 grad_norm: 0.1334 loss: 0.0381 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8704 recall@top3: 0.8333 prec@top3: 0.6852 recall@top5: 0.9167 prec@top5: 0.4556 loss_action_cls: 0.0381 2023/03/10 23:13:27 - mmengine - INFO - Epoch(train) [8][3700/4451] lr: 2.7162e-06 eta: 10:14:25 time: 0.6745 data_time: 0.0368 memory: 51970 grad_norm: 0.1296 loss: 0.0366 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.5875 recall@top3: 0.8500 prec@top3: 0.6333 recall@top5: 0.9500 prec@top5: 0.4300 loss_action_cls: 0.0366 2023/03/10 23:13:41 - mmengine - INFO - Epoch(train) [8][3720/4451] lr: 2.7154e-06 eta: 10:14:12 time: 0.7116 data_time: 0.0551 memory: 51970 grad_norm: 0.1351 loss: 0.0396 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7353 recall@top3: 0.7549 prec@top3: 0.5098 recall@top5: 0.9706 prec@top5: 0.3882 loss_action_cls: 0.0396 2023/03/10 23:13:53 - mmengine - INFO - Epoch(train) [8][3740/4451] lr: 2.7146e-06 eta: 10:13:56 time: 0.6054 data_time: 0.0129 memory: 51970 grad_norm: 0.1416 loss: 0.0384 recall@thr=0.5: 0.5139 prec@thr=0.5: 0.6898 recall@top3: 0.7546 prec@top3: 0.5556 recall@top5: 0.9028 prec@top5: 0.4000 loss_action_cls: 0.0384 2023/03/10 23:14:07 - mmengine - INFO - Epoch(train) [8][3760/4451] lr: 2.7139e-06 eta: 10:13:43 time: 0.6984 data_time: 0.0128 memory: 51970 grad_norm: 0.1233 loss: 0.0379 recall@thr=0.5: 0.3327 prec@thr=0.5: 0.4583 recall@top3: 0.6538 prec@top3: 0.5256 recall@top5: 0.8244 prec@top5: 0.4154 loss_action_cls: 0.0379 2023/03/10 23:14:20 - mmengine - INFO - Epoch(train) [8][3780/4451] lr: 2.7131e-06 eta: 10:13:27 time: 0.6069 data_time: 0.0305 memory: 51970 grad_norm: 0.1336 loss: 0.0388 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.8824 recall@top3: 0.9314 prec@top3: 0.7451 recall@top5: 0.9608 prec@top5: 0.4706 loss_action_cls: 0.0388 2023/03/10 23:14:34 - mmengine - INFO - Epoch(train) [8][3800/4451] lr: 2.7123e-06 eta: 10:13:15 time: 0.7162 data_time: 0.0199 memory: 51970 grad_norm: 0.1326 loss: 0.0372 recall@thr=0.5: 0.6375 prec@thr=0.5: 0.8208 recall@top3: 0.8542 prec@top3: 0.7167 recall@top5: 0.9375 prec@top5: 0.4800 loss_action_cls: 0.0372 2023/03/10 23:14:47 - mmengine - INFO - Epoch(train) [8][3820/4451] lr: 2.7115e-06 eta: 10:13:00 time: 0.6489 data_time: 0.0127 memory: 51970 grad_norm: 0.1334 loss: 0.0395 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7037 recall@top3: 0.8457 prec@top3: 0.5432 recall@top5: 0.8889 prec@top5: 0.3481 loss_action_cls: 0.0395 2023/03/10 23:15:00 - mmengine - INFO - Epoch(train) [8][3840/4451] lr: 2.7107e-06 eta: 10:12:46 time: 0.6550 data_time: 0.0129 memory: 51970 grad_norm: 0.1349 loss: 0.0409 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7059 recall@top3: 0.8775 prec@top3: 0.6471 recall@top5: 0.9363 prec@top5: 0.4235 loss_action_cls: 0.0409 2023/03/10 23:15:01 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 23:15:13 - mmengine - INFO - Epoch(train) [8][3860/4451] lr: 2.7099e-06 eta: 10:12:32 time: 0.6624 data_time: 0.0126 memory: 51970 grad_norm: 0.1301 loss: 0.0380 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6508 recall@top3: 0.7738 prec@top3: 0.5397 recall@top5: 0.9127 prec@top5: 0.3905 loss_action_cls: 0.0380 2023/03/10 23:15:26 - mmengine - INFO - Epoch(train) [8][3880/4451] lr: 2.7091e-06 eta: 10:12:16 time: 0.6246 data_time: 0.0129 memory: 51970 grad_norm: 0.1303 loss: 0.0397 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.7917 recall@top3: 0.9621 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0397 2023/03/10 23:15:38 - mmengine - INFO - Epoch(train) [8][3900/4451] lr: 2.7083e-06 eta: 10:12:01 time: 0.6249 data_time: 0.0135 memory: 51970 grad_norm: 0.1338 loss: 0.0370 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8561 recall@top3: 0.8333 prec@top3: 0.6970 recall@top5: 0.9182 prec@top5: 0.4909 loss_action_cls: 0.0370 2023/03/10 23:15:51 - mmengine - INFO - Epoch(train) [8][3920/4451] lr: 2.7076e-06 eta: 10:11:47 time: 0.6621 data_time: 0.0126 memory: 51970 grad_norm: 0.1331 loss: 0.0404 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7963 recall@top3: 0.8565 prec@top3: 0.6481 recall@top5: 0.9213 prec@top5: 0.4333 loss_action_cls: 0.0404 2023/03/10 23:16:06 - mmengine - INFO - Epoch(train) [8][3940/4451] lr: 2.7068e-06 eta: 10:11:34 time: 0.7208 data_time: 0.0124 memory: 51970 grad_norm: 0.1340 loss: 0.0376 recall@thr=0.5: 0.6544 prec@thr=0.5: 0.7450 recall@top3: 0.7317 prec@top3: 0.8000 recall@top5: 0.9500 prec@top5: 0.6200 loss_action_cls: 0.0376 2023/03/10 23:16:18 - mmengine - INFO - Epoch(train) [8][3960/4451] lr: 2.7060e-06 eta: 10:11:19 time: 0.6186 data_time: 0.0121 memory: 51970 grad_norm: 0.1262 loss: 0.0349 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.8116 recall@top3: 0.9203 prec@top3: 0.5797 recall@top5: 0.9783 prec@top5: 0.3739 loss_action_cls: 0.0349 2023/03/10 23:16:32 - mmengine - INFO - Epoch(train) [8][3980/4451] lr: 2.7052e-06 eta: 10:11:06 time: 0.6884 data_time: 0.0181 memory: 51970 grad_norm: 0.1344 loss: 0.0325 recall@thr=0.5: 0.7951 prec@thr=0.5: 0.9444 recall@top3: 0.8889 prec@top3: 0.7639 recall@top5: 0.9618 prec@top5: 0.5083 loss_action_cls: 0.0325 2023/03/10 23:16:44 - mmengine - INFO - Epoch(train) [8][4000/4451] lr: 2.7044e-06 eta: 10:10:50 time: 0.6117 data_time: 0.0520 memory: 51970 grad_norm: 0.1290 loss: 0.0386 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7625 recall@top3: 0.8583 prec@top3: 0.6833 recall@top5: 0.9833 prec@top5: 0.4400 loss_action_cls: 0.0386 2023/03/10 23:16:58 - mmengine - INFO - Epoch(train) [8][4020/4451] lr: 2.7036e-06 eta: 10:10:36 time: 0.6625 data_time: 0.1354 memory: 51970 grad_norm: 0.1359 loss: 0.0414 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6019 recall@top3: 0.8426 prec@top3: 0.6481 recall@top5: 0.9815 prec@top5: 0.4778 loss_action_cls: 0.0414 2023/03/10 23:17:11 - mmengine - INFO - Epoch(train) [8][4040/4451] lr: 2.7028e-06 eta: 10:10:22 time: 0.6626 data_time: 0.0113 memory: 51970 grad_norm: 0.1370 loss: 0.0425 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7000 recall@top3: 0.8042 prec@top3: 0.6333 recall@top5: 0.9375 prec@top5: 0.4600 loss_action_cls: 0.0425 2023/03/10 23:17:24 - mmengine - INFO - Epoch(train) [8][4060/4451] lr: 2.7020e-06 eta: 10:10:08 time: 0.6690 data_time: 0.0137 memory: 51970 grad_norm: 0.1399 loss: 0.0379 recall@thr=0.5: 0.5978 prec@thr=0.5: 0.8261 recall@top3: 0.7862 prec@top3: 0.5797 recall@top5: 0.8225 prec@top5: 0.3652 loss_action_cls: 0.0379 2023/03/10 23:17:51 - mmengine - INFO - Epoch(train) [8][4080/4451] lr: 2.7012e-06 eta: 10:10:14 time: 1.3210 data_time: 0.0122 memory: 51970 grad_norm: 0.1252 loss: 0.0383 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.6275 recall@top3: 0.8824 prec@top3: 0.6471 recall@top5: 0.8824 prec@top5: 0.3882 loss_action_cls: 0.0383 2023/03/10 23:18:05 - mmengine - INFO - Epoch(train) [8][4100/4451] lr: 2.7004e-06 eta: 10:10:01 time: 0.7063 data_time: 0.0124 memory: 51970 grad_norm: 0.1400 loss: 0.0385 recall@thr=0.5: 0.7241 prec@thr=0.5: 0.6839 recall@top3: 0.8448 prec@top3: 0.5747 recall@top5: 0.9540 prec@top5: 0.3862 loss_action_cls: 0.0385 2023/03/10 23:18:19 - mmengine - INFO - Epoch(train) [8][4120/4451] lr: 2.6996e-06 eta: 10:09:48 time: 0.6953 data_time: 0.0127 memory: 51970 grad_norm: 0.1371 loss: 0.0393 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.7750 recall@top3: 0.9167 prec@top3: 0.7667 recall@top5: 0.9667 prec@top5: 0.5000 loss_action_cls: 0.0393 2023/03/10 23:18:33 - mmengine - INFO - Epoch(train) [8][4140/4451] lr: 2.6988e-06 eta: 10:09:35 time: 0.7067 data_time: 0.0124 memory: 51970 grad_norm: 0.1400 loss: 0.0345 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.8106 recall@top3: 0.8674 prec@top3: 0.7576 recall@top5: 0.9318 prec@top5: 0.5000 loss_action_cls: 0.0345 2023/03/10 23:18:46 - mmengine - INFO - Epoch(train) [8][4160/4451] lr: 2.6980e-06 eta: 10:09:20 time: 0.6467 data_time: 0.0117 memory: 51970 grad_norm: 0.1354 loss: 0.0367 recall@thr=0.5: 0.6693 prec@thr=0.5: 0.7267 recall@top3: 0.7453 prec@top3: 0.6533 recall@top5: 0.9600 prec@top5: 0.4800 loss_action_cls: 0.0367 2023/03/10 23:18:58 - mmengine - INFO - Epoch(train) [8][4180/4451] lr: 2.6972e-06 eta: 10:09:04 time: 0.6142 data_time: 0.0122 memory: 51970 grad_norm: 0.1329 loss: 0.0368 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7576 recall@top3: 0.8864 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.4818 loss_action_cls: 0.0368 2023/03/10 23:19:09 - mmengine - INFO - Epoch(train) [8][4200/4451] lr: 2.6963e-06 eta: 10:08:47 time: 0.5503 data_time: 0.0129 memory: 51970 grad_norm: 0.1351 loss: 0.0437 recall@thr=0.5: 0.6424 prec@thr=0.5: 0.6528 recall@top3: 0.7951 prec@top3: 0.6944 recall@top5: 0.9410 prec@top5: 0.5167 loss_action_cls: 0.0437 2023/03/10 23:19:24 - mmengine - INFO - Epoch(train) [8][4220/4451] lr: 2.6955e-06 eta: 10:08:35 time: 0.7309 data_time: 0.0296 memory: 51970 grad_norm: 0.1350 loss: 0.0411 recall@thr=0.5: 0.9352 prec@thr=0.5: 0.8519 recall@top3: 0.9537 prec@top3: 0.6481 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0411 2023/03/10 23:19:36 - mmengine - INFO - Epoch(train) [8][4240/4451] lr: 2.6947e-06 eta: 10:08:19 time: 0.6131 data_time: 0.0139 memory: 51970 grad_norm: 0.1303 loss: 0.0369 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6583 recall@top3: 0.8167 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.3800 loss_action_cls: 0.0369 2023/03/10 23:19:50 - mmengine - INFO - Epoch(train) [8][4260/4451] lr: 2.6939e-06 eta: 10:08:06 time: 0.7028 data_time: 0.0130 memory: 51970 grad_norm: 0.1350 loss: 0.0396 recall@thr=0.5: 0.6895 prec@thr=0.5: 0.7939 recall@top3: 0.8474 prec@top3: 0.7018 recall@top5: 0.9763 prec@top5: 0.5053 loss_action_cls: 0.0396 2023/03/10 23:20:03 - mmengine - INFO - Epoch(train) [8][4280/4451] lr: 2.6931e-06 eta: 10:07:52 time: 0.6594 data_time: 0.0139 memory: 51970 grad_norm: 0.1387 loss: 0.0346 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7656 recall@top3: 0.9375 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.3875 loss_action_cls: 0.0346 2023/03/10 23:20:17 - mmengine - INFO - Epoch(train) [8][4300/4451] lr: 2.6923e-06 eta: 10:07:38 time: 0.6749 data_time: 0.0127 memory: 51970 grad_norm: 0.1313 loss: 0.0343 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8788 recall@top3: 0.8068 prec@top3: 0.6364 recall@top5: 0.9394 prec@top5: 0.4636 loss_action_cls: 0.0343 2023/03/10 23:20:31 - mmengine - INFO - Epoch(train) [8][4320/4451] lr: 2.6915e-06 eta: 10:07:26 time: 0.7282 data_time: 0.0524 memory: 51970 grad_norm: 0.1389 loss: 0.0409 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7981 recall@top3: 0.7853 prec@top3: 0.6410 recall@top5: 0.9295 prec@top5: 0.4615 loss_action_cls: 0.0409 2023/03/10 23:20:44 - mmengine - INFO - Epoch(train) [8][4340/4451] lr: 2.6907e-06 eta: 10:07:11 time: 0.6350 data_time: 0.0114 memory: 51970 grad_norm: 0.1334 loss: 0.0358 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8333 recall@top3: 0.9271 prec@top3: 0.5417 recall@top5: 0.9688 prec@top5: 0.3500 loss_action_cls: 0.0358 2023/03/10 23:20:57 - mmengine - INFO - Epoch(train) [8][4360/4451] lr: 2.6898e-06 eta: 10:06:57 time: 0.6558 data_time: 0.0130 memory: 51970 grad_norm: 0.1396 loss: 0.0425 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7130 recall@top3: 0.7222 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.4111 loss_action_cls: 0.0425 2023/03/10 23:21:10 - mmengine - INFO - Epoch(train) [8][4380/4451] lr: 2.6890e-06 eta: 10:06:42 time: 0.6574 data_time: 0.0132 memory: 51970 grad_norm: 0.1372 loss: 0.0343 recall@thr=0.5: 0.6140 prec@thr=0.5: 0.8421 recall@top3: 0.6930 prec@top3: 0.5439 recall@top5: 0.8684 prec@top5: 0.4316 loss_action_cls: 0.0343 2023/03/10 23:21:24 - mmengine - INFO - Epoch(train) [8][4400/4451] lr: 2.6882e-06 eta: 10:06:29 time: 0.6799 data_time: 0.0527 memory: 51970 grad_norm: 0.1383 loss: 0.0389 recall@thr=0.5: 0.5655 prec@thr=0.5: 0.7143 recall@top3: 0.7798 prec@top3: 0.5714 recall@top5: 0.9464 prec@top5: 0.4000 loss_action_cls: 0.0389 2023/03/10 23:21:35 - mmengine - INFO - Epoch(train) [8][4420/4451] lr: 2.6874e-06 eta: 10:06:12 time: 0.5846 data_time: 0.0504 memory: 51970 grad_norm: 0.1310 loss: 0.0362 recall@thr=0.5: 0.6963 prec@thr=0.5: 0.8519 recall@top3: 0.8213 prec@top3: 0.7778 recall@top5: 0.9889 prec@top5: 0.5889 loss_action_cls: 0.0362 2023/03/10 23:21:48 - mmengine - INFO - Epoch(train) [8][4440/4451] lr: 2.6866e-06 eta: 10:05:57 time: 0.6458 data_time: 0.1932 memory: 51970 grad_norm: 0.1279 loss: 0.0369 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8373 recall@top3: 0.8333 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0369 2023/03/10 23:21:53 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 23:21:53 - mmengine - INFO - Epoch(train) [8][4451/4451] lr: 2.6861e-06 eta: 10:05:46 time: 0.5126 data_time: 0.0788 memory: 51970 grad_norm: 0.1267 loss: 0.0381 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8611 recall@top3: 0.8264 prec@top3: 0.8472 recall@top5: 0.9097 prec@top5: 0.5667 loss_action_cls: 0.0381 2023/03/10 23:21:53 - mmengine - INFO - Saving checkpoint at 8 epochs 2023/03/10 23:22:00 - mmengine - INFO - Epoch(val) [8][ 20/6282] eta: 0:08:52 time: 0.0850 data_time: 0.0397 memory: 2331 2023/03/10 23:22:01 - mmengine - INFO - Epoch(val) [8][ 40/6282] eta: 0:07:10 time: 0.0531 data_time: 0.0092 memory: 2331 2023/03/10 23:22:02 - mmengine - INFO - Epoch(val) [8][ 60/6282] eta: 0:06:46 time: 0.0577 data_time: 0.0136 memory: 2331 2023/03/10 23:22:03 - mmengine - INFO - Epoch(val) [8][ 80/6282] eta: 0:06:34 time: 0.0586 data_time: 0.0158 memory: 2331 2023/03/10 23:22:04 - mmengine - INFO - Epoch(val) [8][ 100/6282] eta: 0:06:26 time: 0.0584 data_time: 0.0148 memory: 2331 2023/03/10 23:22:05 - mmengine - INFO - Epoch(val) [8][ 120/6282] eta: 0:06:21 time: 0.0589 data_time: 0.0046 memory: 2934 2023/03/10 23:22:07 - mmengine - INFO - Epoch(val) [8][ 140/6282] eta: 0:06:20 time: 0.0619 data_time: 0.0024 memory: 2934 2023/03/10 23:22:08 - mmengine - INFO - Epoch(val) [8][ 160/6282] eta: 0:06:19 time: 0.0627 data_time: 0.0022 memory: 2934 2023/03/10 23:22:09 - mmengine - INFO - Epoch(val) [8][ 180/6282] eta: 0:06:18 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/10 23:22:10 - mmengine - INFO - Epoch(val) [8][ 200/6282] eta: 0:06:16 time: 0.0605 data_time: 0.0023 memory: 2934 2023/03/10 23:22:11 - mmengine - INFO - Epoch(val) [8][ 220/6282] eta: 0:06:08 time: 0.0491 data_time: 0.0030 memory: 2396 2023/03/10 23:22:12 - mmengine - INFO - Epoch(val) [8][ 240/6282] eta: 0:06:00 time: 0.0488 data_time: 0.0026 memory: 2396 2023/03/10 23:22:13 - mmengine - INFO - Epoch(val) [8][ 260/6282] eta: 0:05:54 time: 0.0480 data_time: 0.0024 memory: 2396 2023/03/10 23:22:14 - mmengine - INFO - Epoch(val) [8][ 280/6282] eta: 0:05:48 time: 0.0489 data_time: 0.0028 memory: 2396 2023/03/10 23:22:15 - mmengine - INFO - Epoch(val) [8][ 300/6282] eta: 0:05:46 time: 0.0555 data_time: 0.0028 memory: 2934 2023/03/10 23:22:17 - mmengine - INFO - Epoch(val) [8][ 320/6282] eta: 0:05:48 time: 0.0648 data_time: 0.0029 memory: 2934 2023/03/10 23:22:18 - mmengine - INFO - Epoch(val) [8][ 340/6282] eta: 0:05:48 time: 0.0632 data_time: 0.0024 memory: 2934 2023/03/10 23:22:19 - mmengine - INFO - Epoch(val) [8][ 360/6282] eta: 0:05:50 time: 0.0685 data_time: 0.0083 memory: 2934 2023/03/10 23:22:21 - mmengine - INFO - Epoch(val) [8][ 380/6282] eta: 0:05:52 time: 0.0698 data_time: 0.0101 memory: 2934 2023/03/10 23:22:22 - mmengine - INFO - Epoch(val) [8][ 400/6282] eta: 0:05:51 time: 0.0595 data_time: 0.0067 memory: 2934 2023/03/10 23:22:23 - mmengine - INFO - Epoch(val) [8][ 420/6282] eta: 0:05:51 time: 0.0650 data_time: 0.0186 memory: 2397 2023/03/10 23:22:24 - mmengine - INFO - Epoch(val) [8][ 440/6282] eta: 0:05:50 time: 0.0605 data_time: 0.0143 memory: 2397 2023/03/10 23:22:26 - mmengine - INFO - Epoch(val) [8][ 460/6282] eta: 0:05:49 time: 0.0613 data_time: 0.0153 memory: 2397 2023/03/10 23:22:27 - mmengine - INFO - Epoch(val) [8][ 480/6282] eta: 0:05:48 time: 0.0615 data_time: 0.0153 memory: 2397 2023/03/10 23:22:28 - mmengine - INFO - Epoch(val) [8][ 500/6282] eta: 0:05:47 time: 0.0603 data_time: 0.0135 memory: 2397 2023/03/10 23:22:29 - mmengine - INFO - Epoch(val) [8][ 520/6282] eta: 0:05:47 time: 0.0638 data_time: 0.0175 memory: 2396 2023/03/10 23:22:31 - mmengine - INFO 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eta: 0:05:46 time: 0.0669 data_time: 0.0219 memory: 2396 2023/03/10 23:22:54 - mmengine - INFO - Epoch(val) [8][ 880/6282] eta: 0:05:44 time: 0.0613 data_time: 0.0163 memory: 2396 2023/03/10 23:22:56 - mmengine - INFO - Epoch(val) [8][ 900/6282] eta: 0:05:43 time: 0.0586 data_time: 0.0132 memory: 2396 2023/03/10 23:22:57 - mmengine - INFO - Epoch(val) [8][ 920/6282] eta: 0:05:40 time: 0.0571 data_time: 0.0112 memory: 2396 2023/03/10 23:22:58 - mmengine - INFO - Epoch(val) [8][ 940/6282] eta: 0:05:39 time: 0.0593 data_time: 0.0138 memory: 2331 2023/03/10 23:22:59 - mmengine - INFO - Epoch(val) [8][ 960/6282] eta: 0:05:37 time: 0.0579 data_time: 0.0142 memory: 2331 2023/03/10 23:23:00 - mmengine - INFO - Epoch(val) [8][ 980/6282] eta: 0:05:36 time: 0.0630 data_time: 0.0172 memory: 2331 2023/03/10 23:23:01 - mmengine - INFO - Epoch(val) [8][1000/6282] eta: 0:05:34 time: 0.0597 data_time: 0.0130 memory: 2331 2023/03/10 23:23:03 - mmengine - INFO - Epoch(val) [8][1020/6282] eta: 0:05:32 time: 0.0575 data_time: 0.0147 memory: 2396 2023/03/10 23:23:04 - mmengine - INFO - Epoch(val) [8][1040/6282] eta: 0:05:31 time: 0.0702 data_time: 0.0253 memory: 2396 2023/03/10 23:23:05 - mmengine - INFO - Epoch(val) [8][1060/6282] eta: 0:05:30 time: 0.0576 data_time: 0.0101 memory: 2396 2023/03/10 23:23:06 - mmengine - INFO - Epoch(val) [8][1080/6282] eta: 0:05:27 time: 0.0541 data_time: 0.0090 memory: 2396 2023/03/10 23:23:07 - mmengine - INFO - Epoch(val) [8][1100/6282] eta: 0:05:26 time: 0.0591 data_time: 0.0129 memory: 2396 2023/03/10 23:23:09 - mmengine - INFO - Epoch(val) [8][1120/6282] eta: 0:05:24 time: 0.0593 data_time: 0.0107 memory: 2396 2023/03/10 23:23:10 - mmengine - INFO - Epoch(val) [8][1140/6282] eta: 0:05:23 time: 0.0624 data_time: 0.0148 memory: 2396 2023/03/10 23:23:11 - mmengine - INFO - Epoch(val) [8][1160/6282] eta: 0:05:21 time: 0.0510 data_time: 0.0042 memory: 2396 2023/03/10 23:23:12 - mmengine - INFO - Epoch(val) [8][1180/6282] eta: 0:05:18 time: 0.0504 data_time: 0.0030 memory: 2396 2023/03/10 23:23:13 - mmengine - INFO - Epoch(val) [8][1200/6282] eta: 0:05:16 time: 0.0546 data_time: 0.0079 memory: 2396 2023/03/10 23:23:14 - mmengine - INFO - Epoch(val) [8][1220/6282] eta: 0:05:14 time: 0.0528 data_time: 0.0040 memory: 2396 2023/03/10 23:23:16 - mmengine - INFO - Epoch(val) [8][1240/6282] eta: 0:05:15 time: 0.0886 data_time: 0.0273 memory: 2934 2023/03/10 23:23:18 - mmengine - INFO - Epoch(val) [8][1260/6282] eta: 0:05:16 time: 0.0858 data_time: 0.0227 memory: 2934 2023/03/10 23:23:20 - mmengine - INFO - Epoch(val) [8][1280/6282] eta: 0:05:18 time: 0.1081 data_time: 0.0467 memory: 2934 2023/03/10 23:23:22 - mmengine - INFO - Epoch(val) [8][1300/6282] eta: 0:05:19 time: 0.0909 data_time: 0.0288 memory: 2934 2023/03/10 23:23:24 - mmengine - INFO - Epoch(val) [8][1320/6282] eta: 0:05:21 time: 0.1051 data_time: 0.0433 memory: 2934 2023/03/10 23:23:26 - mmengine - INFO - Epoch(val) [8][1340/6282] eta: 0:05:21 time: 0.0900 data_time: 0.0277 memory: 2934 2023/03/10 23:23:28 - mmengine - INFO - Epoch(val) [8][1360/6282] eta: 0:05:23 time: 0.1039 data_time: 0.0425 memory: 2934 2023/03/10 23:23:29 - mmengine - INFO - Epoch(val) [8][1380/6282] eta: 0:05:23 time: 0.0853 data_time: 0.0227 memory: 2934 2023/03/10 23:23:31 - mmengine - INFO - Epoch(val) [8][1400/6282] eta: 0:05:23 time: 0.0873 data_time: 0.0270 memory: 2934 2023/03/10 23:23:32 - mmengine - INFO - Epoch(val) [8][1420/6282] eta: 0:05:22 time: 0.0682 data_time: 0.0084 memory: 2934 2023/03/10 23:23:34 - mmengine - INFO - Epoch(val) [8][1440/6282] eta: 0:05:20 time: 0.0625 data_time: 0.0023 memory: 2934 2023/03/10 23:23:35 - mmengine - INFO - Epoch(val) [8][1460/6282] eta: 0:05:19 time: 0.0643 data_time: 0.0027 memory: 2934 2023/03/10 23:23:36 - mmengine - INFO - Epoch(val) [8][1480/6282] eta: 0:05:17 time: 0.0624 data_time: 0.0026 memory: 2934 2023/03/10 23:23:38 - mmengine - INFO - Epoch(val) [8][1500/6282] eta: 0:05:16 time: 0.0625 data_time: 0.0027 memory: 2934 2023/03/10 23:23:39 - mmengine - INFO - Epoch(val) [8][1520/6282] eta: 0:05:14 time: 0.0637 data_time: 0.0025 memory: 3958 2023/03/10 23:23:41 - mmengine - INFO - Epoch(val) [8][1540/6282] eta: 0:05:14 time: 0.0862 data_time: 0.0027 memory: 3958 2023/03/10 23:23:42 - mmengine - INFO - Epoch(val) [8][1560/6282] eta: 0:05:14 time: 0.0867 data_time: 0.0029 memory: 3958 2023/03/10 23:23:44 - mmengine - INFO - Epoch(val) [8][1580/6282] eta: 0:05:14 time: 0.0863 data_time: 0.0027 memory: 3958 2023/03/10 23:23:46 - mmengine - INFO - Epoch(val) [8][1600/6282] eta: 0:05:14 time: 0.0867 data_time: 0.0033 memory: 3958 2023/03/10 23:23:47 - mmengine - INFO - Epoch(val) [8][1620/6282] eta: 0:05:13 time: 0.0863 data_time: 0.0025 memory: 3958 2023/03/10 23:23:49 - mmengine - INFO - Epoch(val) [8][1640/6282] eta: 0:05:12 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/10 23:23:50 - mmengine - INFO - Epoch(val) [8][1660/6282] eta: 0:05:10 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/10 23:23:51 - mmengine - INFO - Epoch(val) [8][1680/6282] eta: 0:05:09 time: 0.0629 data_time: 0.0024 memory: 2934 2023/03/10 23:23:52 - mmengine - INFO - Epoch(val) [8][1700/6282] eta: 0:05:07 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/10 23:23:54 - mmengine - INFO - Epoch(val) [8][1720/6282] eta: 0:05:05 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/10 23:23:55 - mmengine - INFO - Epoch(val) [8][1740/6282] eta: 0:05:04 time: 0.0632 data_time: 0.0024 memory: 2934 2023/03/10 23:23:56 - mmengine - INFO - Epoch(val) [8][1760/6282] eta: 0:05:02 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/10 23:23:58 - mmengine - INFO - Epoch(val) [8][1780/6282] eta: 0:05:01 time: 0.0647 data_time: 0.0025 memory: 2934 2023/03/10 23:23:59 - mmengine - INFO - Epoch(val) [8][1800/6282] eta: 0:04:59 time: 0.0654 data_time: 0.0037 memory: 2934 2023/03/10 23:24:00 - mmengine - INFO - Epoch(val) [8][1820/6282] eta: 0:04:58 time: 0.0663 data_time: 0.0041 memory: 2934 2023/03/10 23:24:02 - mmengine - INFO - Epoch(val) [8][1840/6282] eta: 0:04:58 time: 0.0991 data_time: 0.0039 memory: 2934 2023/03/10 23:24:04 - mmengine - INFO - Epoch(val) [8][1860/6282] eta: 0:04:58 time: 0.0809 data_time: 0.0192 memory: 2934 2023/03/10 23:24:06 - mmengine - INFO - Epoch(val) [8][1880/6282] eta: 0:04:57 time: 0.0921 data_time: 0.0294 memory: 2934 2023/03/10 23:24:07 - mmengine - INFO - Epoch(val) [8][1900/6282] eta: 0:04:57 time: 0.0857 data_time: 0.0235 memory: 2934 2023/03/10 23:24:09 - mmengine - INFO - Epoch(val) [8][1920/6282] eta: 0:04:56 time: 0.0908 data_time: 0.0303 memory: 2934 2023/03/10 23:24:11 - mmengine - INFO - Epoch(val) [8][1940/6282] eta: 0:04:55 time: 0.0747 data_time: 0.0175 memory: 2934 2023/03/10 23:24:12 - mmengine - INFO - Epoch(val) [8][1960/6282] eta: 0:04:54 time: 0.0566 data_time: 0.0093 memory: 2397 2023/03/10 23:24:13 - mmengine - INFO - Epoch(val) [8][1980/6282] eta: 0:04:52 time: 0.0573 data_time: 0.0123 memory: 2397 2023/03/10 23:24:14 - mmengine - INFO - Epoch(val) [8][2000/6282] eta: 0:04:50 time: 0.0661 data_time: 0.0187 memory: 2397 2023/03/10 23:24:15 - mmengine - INFO - Epoch(val) [8][2020/6282] eta: 0:04:48 time: 0.0544 data_time: 0.0078 memory: 2397 2023/03/10 23:24:17 - mmengine - INFO - Epoch(val) [8][2040/6282] eta: 0:04:47 time: 0.0619 data_time: 0.0156 memory: 2397 2023/03/10 23:24:18 - mmengine - INFO - Epoch(val) [8][2060/6282] eta: 0:04:45 time: 0.0597 data_time: 0.0147 memory: 2397 2023/03/10 23:24:19 - mmengine - INFO - Epoch(val) [8][2080/6282] eta: 0:04:44 time: 0.0657 data_time: 0.0192 memory: 2397 2023/03/10 23:24:20 - mmengine - INFO - Epoch(val) [8][2100/6282] eta: 0:04:42 time: 0.0568 data_time: 0.0103 memory: 2397 2023/03/10 23:24:22 - mmengine - INFO - Epoch(val) [8][2120/6282] eta: 0:04:40 time: 0.0647 data_time: 0.0197 memory: 2397 2023/03/10 23:24:23 - mmengine - INFO - Epoch(val) [8][2140/6282] eta: 0:04:39 time: 0.0598 data_time: 0.0115 memory: 2397 2023/03/10 23:24:25 - mmengine - INFO - Epoch(val) [8][2160/6282] eta: 0:04:39 time: 0.1060 data_time: 0.0612 memory: 2396 2023/03/10 23:24:26 - mmengine - INFO - Epoch(val) [8][2180/6282] eta: 0:04:37 time: 0.0591 data_time: 0.0139 memory: 2396 2023/03/10 23:24:27 - mmengine - INFO - Epoch(val) [8][2200/6282] eta: 0:04:36 time: 0.0648 data_time: 0.0173 memory: 2396 2023/03/10 23:24:29 - mmengine - INFO - Epoch(val) [8][2220/6282] eta: 0:04:34 time: 0.0560 data_time: 0.0071 memory: 2396 2023/03/10 23:24:30 - mmengine - INFO - Epoch(val) [8][2240/6282] eta: 0:04:33 time: 0.0654 data_time: 0.0206 memory: 2396 2023/03/10 23:24:31 - mmengine - INFO - Epoch(val) [8][2260/6282] eta: 0:04:31 time: 0.0543 data_time: 0.0083 memory: 2397 2023/03/10 23:24:32 - mmengine - INFO - Epoch(val) [8][2280/6282] eta: 0:04:29 time: 0.0664 data_time: 0.0214 memory: 2397 2023/03/10 23:24:33 - mmengine - INFO - Epoch(val) [8][2300/6282] eta: 0:04:28 time: 0.0569 data_time: 0.0118 memory: 2397 2023/03/10 23:24:35 - mmengine - INFO - Epoch(val) [8][2320/6282] eta: 0:04:26 time: 0.0687 data_time: 0.0222 memory: 2397 2023/03/10 23:24:36 - mmengine - INFO - Epoch(val) [8][2340/6282] eta: 0:04:25 time: 0.0579 data_time: 0.0114 memory: 2397 2023/03/10 23:24:37 - mmengine - INFO - Epoch(val) [8][2360/6282] eta: 0:04:23 time: 0.0589 data_time: 0.0138 memory: 2396 2023/03/10 23:24:38 - mmengine - INFO - Epoch(val) [8][2380/6282] eta: 0:04:21 time: 0.0585 data_time: 0.0105 memory: 2396 2023/03/10 23:24:40 - mmengine - INFO - Epoch(val) [8][2400/6282] eta: 0:04:20 time: 0.0575 data_time: 0.0121 memory: 2396 2023/03/10 23:24:41 - mmengine - INFO - Epoch(val) [8][2420/6282] eta: 0:04:18 time: 0.0512 data_time: 0.0031 memory: 2396 2023/03/10 23:24:41 - mmengine - INFO - Epoch(val) [8][2440/6282] eta: 0:04:16 time: 0.0490 data_time: 0.0026 memory: 2396 2023/03/10 23:24:43 - mmengine - INFO - Epoch(val) [8][2460/6282] eta: 0:04:15 time: 0.0630 data_time: 0.0029 memory: 2934 2023/03/10 23:24:44 - mmengine - INFO - Epoch(val) [8][2480/6282] eta: 0:04:13 time: 0.0716 data_time: 0.0096 memory: 2934 2023/03/10 23:24:46 - mmengine - INFO - Epoch(val) [8][2500/6282] eta: 0:04:12 time: 0.0653 data_time: 0.0036 memory: 2934 2023/03/10 23:24:47 - mmengine - INFO - Epoch(val) [8][2520/6282] eta: 0:04:11 time: 0.0660 data_time: 0.0039 memory: 2934 2023/03/10 23:24:48 - mmengine - INFO - Epoch(val) [8][2540/6282] eta: 0:04:09 time: 0.0669 data_time: 0.0038 memory: 2934 2023/03/10 23:24:50 - mmengine - INFO - Epoch(val) [8][2560/6282] eta: 0:04:09 time: 0.0973 data_time: 0.0351 memory: 2934 2023/03/10 23:24:52 - mmengine - INFO - Epoch(val) [8][2580/6282] eta: 0:04:08 time: 0.0998 data_time: 0.0375 memory: 2934 2023/03/10 23:24:54 - mmengine - INFO - Epoch(val) [8][2600/6282] eta: 0:04:08 time: 0.0981 data_time: 0.0368 memory: 2934 2023/03/10 23:24:56 - mmengine - INFO - Epoch(val) [8][2620/6282] eta: 0:04:07 time: 0.0844 data_time: 0.0240 memory: 2934 2023/03/10 23:24:57 - mmengine - INFO - Epoch(val) [8][2640/6282] eta: 0:04:06 time: 0.0641 data_time: 0.0024 memory: 2934 2023/03/10 23:24:59 - mmengine - INFO - Epoch(val) [8][2660/6282] eta: 0:04:05 time: 0.0842 data_time: 0.0025 memory: 3842 2023/03/10 23:25:00 - mmengine - INFO - Epoch(val) [8][2680/6282] eta: 0:04:04 time: 0.0845 data_time: 0.0027 memory: 3842 2023/03/10 23:25:02 - mmengine - INFO - Epoch(val) [8][2700/6282] eta: 0:04:03 time: 0.0873 data_time: 0.0027 memory: 3842 2023/03/10 23:25:04 - mmengine - INFO - Epoch(val) [8][2720/6282] eta: 0:04:02 time: 0.0844 data_time: 0.0028 memory: 3842 2023/03/10 23:25:06 - mmengine - INFO - Epoch(val) [8][2740/6282] eta: 0:04:01 time: 0.0805 data_time: 0.0025 memory: 3842 2023/03/10 23:25:07 - mmengine - INFO - Epoch(val) [8][2760/6282] eta: 0:03:59 time: 0.0486 data_time: 0.0022 memory: 2397 2023/03/10 23:25:08 - mmengine - INFO - Epoch(val) [8][2780/6282] eta: 0:03:57 time: 0.0494 data_time: 0.0022 memory: 2397 2023/03/10 23:25:09 - mmengine - INFO - Epoch(val) [8][2800/6282] eta: 0:03:56 time: 0.0541 data_time: 0.0074 memory: 2397 2023/03/10 23:25:10 - mmengine - INFO - Epoch(val) [8][2820/6282] eta: 0:03:54 time: 0.0618 data_time: 0.0145 memory: 2397 2023/03/10 23:25:11 - mmengine - INFO - Epoch(val) [8][2840/6282] eta: 0:03:52 time: 0.0536 data_time: 0.0062 memory: 2397 2023/03/10 23:25:12 - mmengine - INFO - Epoch(val) [8][2860/6282] eta: 0:03:51 time: 0.0630 data_time: 0.0064 memory: 2934 2023/03/10 23:25:14 - mmengine - INFO - Epoch(val) [8][2880/6282] eta: 0:03:50 time: 0.0748 data_time: 0.0132 memory: 2934 2023/03/10 23:25:15 - mmengine - INFO - Epoch(val) [8][2900/6282] eta: 0:03:49 time: 0.0806 data_time: 0.0194 memory: 2934 2023/03/10 23:25:16 - mmengine - INFO - Epoch(val) [8][2920/6282] eta: 0:03:47 time: 0.0598 data_time: 0.0059 memory: 2934 2023/03/10 23:25:18 - mmengine - INFO - Epoch(val) [8][2940/6282] eta: 0:03:46 time: 0.0622 data_time: 0.0107 memory: 2609 2023/03/10 23:25:19 - mmengine - INFO - Epoch(val) [8][2960/6282] eta: 0:03:44 time: 0.0596 data_time: 0.0087 memory: 2609 2023/03/10 23:25:20 - mmengine - INFO - Epoch(val) [8][2980/6282] eta: 0:03:43 time: 0.0605 data_time: 0.0114 memory: 2609 2023/03/10 23:25:21 - mmengine - INFO - Epoch(val) [8][3000/6282] eta: 0:03:41 time: 0.0580 data_time: 0.0071 memory: 2609 2023/03/10 23:25:23 - mmengine - INFO - Epoch(val) [8][3020/6282] eta: 0:03:40 time: 0.0630 data_time: 0.0024 memory: 2934 2023/03/10 23:25:24 - mmengine - INFO - Epoch(val) [8][3040/6282] eta: 0:03:38 time: 0.0639 data_time: 0.0020 memory: 2934 2023/03/10 23:25:25 - mmengine - INFO - Epoch(val) [8][3060/6282] eta: 0:03:37 time: 0.0662 data_time: 0.0022 memory: 2934 2023/03/10 23:25:27 - mmengine - INFO - Epoch(val) [8][3080/6282] eta: 0:03:35 time: 0.0651 data_time: 0.0025 memory: 2934 2023/03/10 23:25:28 - mmengine - INFO - Epoch(val) [8][3100/6282] eta: 0:03:34 time: 0.0568 data_time: 0.0022 memory: 2934 2023/03/10 23:25:29 - mmengine - INFO - Epoch(val) [8][3120/6282] eta: 0:03:32 time: 0.0479 data_time: 0.0021 memory: 2397 2023/03/10 23:25:30 - mmengine - INFO - Epoch(val) [8][3140/6282] eta: 0:03:31 time: 0.0585 data_time: 0.0102 memory: 2397 2023/03/10 23:25:31 - mmengine - INFO - Epoch(val) [8][3160/6282] eta: 0:03:29 time: 0.0536 data_time: 0.0079 memory: 2397 2023/03/10 23:25:32 - mmengine - INFO - Epoch(val) [8][3180/6282] eta: 0:03:27 time: 0.0502 data_time: 0.0024 memory: 2397 2023/03/10 23:25:33 - mmengine - INFO - Epoch(val) [8][3200/6282] eta: 0:03:26 time: 0.0612 data_time: 0.0037 memory: 2934 2023/03/10 23:25:34 - mmengine - INFO - Epoch(val) [8][3220/6282] eta: 0:03:24 time: 0.0643 data_time: 0.0028 memory: 2934 2023/03/10 23:25:36 - mmengine - INFO - Epoch(val) [8][3240/6282] eta: 0:03:23 time: 0.0670 data_time: 0.0026 memory: 2934 2023/03/10 23:25:37 - mmengine - INFO - Epoch(val) [8][3260/6282] eta: 0:03:22 time: 0.0640 data_time: 0.0021 memory: 2934 2023/03/10 23:25:38 - mmengine - INFO - Epoch(val) [8][3280/6282] eta: 0:03:20 time: 0.0636 data_time: 0.0022 memory: 2934 2023/03/10 23:25:40 - mmengine - INFO - Epoch(val) [8][3300/6282] eta: 0:03:19 time: 0.0625 data_time: 0.0024 memory: 2934 2023/03/10 23:25:41 - mmengine - INFO - Epoch(val) [8][3320/6282] eta: 0:03:18 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/10 23:25:42 - mmengine - INFO - Epoch(val) [8][3340/6282] eta: 0:03:16 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/10 23:25:43 - mmengine - INFO - Epoch(val) [8][3360/6282] eta: 0:03:15 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/10 23:25:44 - mmengine - INFO - Epoch(val) [8][3380/6282] eta: 0:03:13 time: 0.0590 data_time: 0.0021 memory: 2934 2023/03/10 23:25:45 - mmengine - INFO - Epoch(val) [8][3400/6282] eta: 0:03:12 time: 0.0487 data_time: 0.0021 memory: 2396 2023/03/10 23:25:46 - mmengine - INFO - Epoch(val) [8][3420/6282] eta: 0:03:10 time: 0.0495 data_time: 0.0021 memory: 2396 2023/03/10 23:25:48 - mmengine - INFO - Epoch(val) [8][3440/6282] eta: 0:03:08 time: 0.0550 data_time: 0.0081 memory: 2396 2023/03/10 23:25:49 - mmengine - INFO - Epoch(val) [8][3460/6282] eta: 0:03:07 time: 0.0616 data_time: 0.0154 memory: 2396 2023/03/10 23:25:50 - mmengine - INFO - Epoch(val) [8][3480/6282] eta: 0:03:06 time: 0.0629 data_time: 0.0156 memory: 2396 2023/03/10 23:25:51 - mmengine - INFO - Epoch(val) [8][3500/6282] eta: 0:03:04 time: 0.0535 data_time: 0.0087 memory: 2396 2023/03/10 23:25:52 - mmengine - INFO - Epoch(val) [8][3520/6282] eta: 0:03:03 time: 0.0564 data_time: 0.0103 memory: 2396 2023/03/10 23:25:54 - mmengine - INFO - Epoch(val) [8][3540/6282] eta: 0:03:01 time: 0.0633 data_time: 0.0183 memory: 2396 2023/03/10 23:25:55 - mmengine - INFO - Epoch(val) [8][3560/6282] eta: 0:03:00 time: 0.0583 data_time: 0.0113 memory: 2396 2023/03/10 23:25:56 - mmengine - INFO - Epoch(val) [8][3580/6282] eta: 0:02:58 time: 0.0607 data_time: 0.0108 memory: 2765 2023/03/10 23:25:57 - mmengine - INFO - Epoch(val) [8][3600/6282] eta: 0:02:57 time: 0.0587 data_time: 0.0042 memory: 2765 2023/03/10 23:25:58 - mmengine - INFO - Epoch(val) [8][3620/6282] eta: 0:02:56 time: 0.0611 data_time: 0.0038 memory: 2765 2023/03/10 23:26:00 - mmengine - INFO - Epoch(val) [8][3640/6282] eta: 0:02:54 time: 0.0597 data_time: 0.0050 memory: 2765 2023/03/10 23:26:01 - mmengine - INFO - Epoch(val) [8][3660/6282] eta: 0:02:53 time: 0.0594 data_time: 0.0026 memory: 2765 2023/03/10 23:26:02 - mmengine - INFO - Epoch(val) [8][3680/6282] eta: 0:02:51 time: 0.0614 data_time: 0.0028 memory: 2934 2023/03/10 23:26:03 - mmengine - INFO - Epoch(val) [8][3700/6282] eta: 0:02:50 time: 0.0671 data_time: 0.0036 memory: 2934 2023/03/10 23:26:05 - mmengine - INFO - Epoch(val) [8][3720/6282] eta: 0:02:49 time: 0.0662 data_time: 0.0031 memory: 2934 2023/03/10 23:26:06 - mmengine - INFO - Epoch(val) [8][3740/6282] eta: 0:02:47 time: 0.0653 data_time: 0.0034 memory: 2934 2023/03/10 23:26:07 - mmengine - INFO - Epoch(val) [8][3760/6282] eta: 0:02:46 time: 0.0641 data_time: 0.0033 memory: 2934 2023/03/10 23:26:09 - mmengine - INFO - Epoch(val) [8][3780/6282] eta: 0:02:45 time: 0.0646 data_time: 0.0032 memory: 2934 2023/03/10 23:26:10 - mmengine - INFO - Epoch(val) [8][3800/6282] eta: 0:02:43 time: 0.0654 data_time: 0.0030 memory: 2934 2023/03/10 23:26:11 - mmengine - INFO - Epoch(val) [8][3820/6282] eta: 0:02:42 time: 0.0634 data_time: 0.0029 memory: 2934 2023/03/10 23:26:12 - mmengine - INFO - Epoch(val) [8][3840/6282] eta: 0:02:41 time: 0.0637 data_time: 0.0032 memory: 2934 2023/03/10 23:26:14 - mmengine - INFO - Epoch(val) [8][3860/6282] eta: 0:02:39 time: 0.0632 data_time: 0.0027 memory: 2934 2023/03/10 23:26:15 - mmengine - INFO - Epoch(val) [8][3880/6282] eta: 0:02:38 time: 0.0639 data_time: 0.0030 memory: 2934 2023/03/10 23:26:16 - mmengine - INFO - Epoch(val) [8][3900/6282] eta: 0:02:37 time: 0.0628 data_time: 0.0026 memory: 2934 2023/03/10 23:26:18 - mmengine - INFO - Epoch(val) [8][3920/6282] eta: 0:02:36 time: 0.1021 data_time: 0.0026 memory: 2934 2023/03/10 23:26:20 - mmengine - INFO - Epoch(val) [8][3940/6282] eta: 0:02:34 time: 0.0648 data_time: 0.0025 memory: 2934 2023/03/10 23:26:21 - mmengine - INFO - Epoch(val) [8][3960/6282] eta: 0:02:33 time: 0.0639 data_time: 0.0025 memory: 2934 2023/03/10 23:26:22 - mmengine - INFO - Epoch(val) [8][3980/6282] eta: 0:02:32 time: 0.0622 data_time: 0.0025 memory: 2934 2023/03/10 23:26:23 - mmengine - INFO - Epoch(val) [8][4000/6282] eta: 0:02:30 time: 0.0626 data_time: 0.0024 memory: 2934 2023/03/10 23:26:25 - mmengine - INFO - Epoch(val) [8][4020/6282] eta: 0:02:29 time: 0.0643 data_time: 0.0023 memory: 2934 2023/03/10 23:26:26 - mmengine - INFO - Epoch(val) [8][4040/6282] eta: 0:02:28 time: 0.0646 data_time: 0.0021 memory: 3842 2023/03/10 23:26:28 - mmengine - INFO - Epoch(val) [8][4060/6282] eta: 0:02:26 time: 0.0834 data_time: 0.0023 memory: 3842 2023/03/10 23:26:29 - mmengine - INFO - Epoch(val) [8][4080/6282] eta: 0:02:25 time: 0.0841 data_time: 0.0025 memory: 3842 2023/03/10 23:26:31 - mmengine - INFO - Epoch(val) [8][4100/6282] eta: 0:02:24 time: 0.0835 data_time: 0.0023 memory: 3842 2023/03/10 23:26:33 - mmengine - INFO - Epoch(val) [8][4120/6282] eta: 0:02:23 time: 0.0838 data_time: 0.0025 memory: 3842 2023/03/10 23:26:34 - mmengine - INFO - Epoch(val) [8][4140/6282] eta: 0:02:22 time: 0.0714 data_time: 0.0024 memory: 3842 2023/03/10 23:26:35 - mmengine - INFO - Epoch(val) [8][4160/6282] eta: 0:02:20 time: 0.0487 data_time: 0.0021 memory: 2396 2023/03/10 23:26:36 - mmengine - INFO - Epoch(val) [8][4180/6282] eta: 0:02:19 time: 0.0501 data_time: 0.0053 memory: 2396 2023/03/10 23:26:37 - mmengine - INFO - Epoch(val) [8][4200/6282] eta: 0:02:17 time: 0.0602 data_time: 0.0153 memory: 2396 2023/03/10 23:26:39 - mmengine - INFO - Epoch(val) [8][4220/6282] eta: 0:02:16 time: 0.0632 data_time: 0.0156 memory: 2396 2023/03/10 23:26:40 - mmengine - INFO - Epoch(val) [8][4240/6282] eta: 0:02:15 time: 0.0670 data_time: 0.0218 memory: 2396 2023/03/10 23:26:41 - mmengine - INFO - Epoch(val) [8][4260/6282] eta: 0:02:13 time: 0.0612 data_time: 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2934 2023/03/10 23:26:53 - mmengine - INFO - Epoch(val) [8][4440/6282] eta: 0:02:02 time: 0.0633 data_time: 0.0024 memory: 3023 2023/03/10 23:26:55 - mmengine - INFO - Epoch(val) [8][4460/6282] eta: 0:02:00 time: 0.0645 data_time: 0.0024 memory: 3023 2023/03/10 23:26:56 - mmengine - INFO - Epoch(val) [8][4480/6282] eta: 0:01:59 time: 0.0645 data_time: 0.0025 memory: 3023 2023/03/10 23:26:57 - mmengine - INFO - Epoch(val) [8][4500/6282] eta: 0:01:58 time: 0.0642 data_time: 0.0023 memory: 3023 2023/03/10 23:26:58 - mmengine - INFO - Epoch(val) [8][4520/6282] eta: 0:01:56 time: 0.0607 data_time: 0.0023 memory: 3023 2023/03/10 23:26:59 - mmengine - INFO - Epoch(val) [8][4540/6282] eta: 0:01:55 time: 0.0505 data_time: 0.0021 memory: 2464 2023/03/10 23:27:01 - mmengine - INFO - Epoch(val) [8][4560/6282] eta: 0:01:53 time: 0.0556 data_time: 0.0096 memory: 2464 2023/03/10 23:27:02 - mmengine - INFO - Epoch(val) [8][4580/6282] eta: 0:01:52 time: 0.0632 data_time: 0.0131 memory: 2464 2023/03/10 23:27:03 - mmengine - INFO - Epoch(val) [8][4600/6282] eta: 0:01:51 time: 0.0560 data_time: 0.0100 memory: 2464 2023/03/10 23:27:05 - mmengine - INFO - Epoch(val) [8][4620/6282] eta: 0:01:50 time: 0.1214 data_time: 0.0754 memory: 2464 2023/03/10 23:27:07 - mmengine - INFO - Epoch(val) [8][4640/6282] eta: 0:01:48 time: 0.0697 data_time: 0.0048 memory: 3023 2023/03/10 23:27:08 - mmengine - INFO - Epoch(val) [8][4660/6282] eta: 0:01:47 time: 0.0644 data_time: 0.0023 memory: 3023 2023/03/10 23:27:09 - mmengine - INFO - Epoch(val) [8][4680/6282] eta: 0:01:46 time: 0.0657 data_time: 0.0023 memory: 3023 2023/03/10 23:27:11 - mmengine - INFO - Epoch(val) [8][4700/6282] eta: 0:01:44 time: 0.0662 data_time: 0.0022 memory: 3023 2023/03/10 23:27:12 - mmengine - INFO - Epoch(val) [8][4720/6282] eta: 0:01:43 time: 0.0620 data_time: 0.0022 memory: 3023 2023/03/10 23:27:13 - mmengine - INFO - Epoch(val) [8][4740/6282] eta: 0:01:42 time: 0.0516 data_time: 0.0019 memory: 2609 2023/03/10 23:27:14 - mmengine - INFO - Epoch(val) [8][4760/6282] eta: 0:01:40 time: 0.0515 data_time: 0.0022 memory: 2609 2023/03/10 23:27:15 - mmengine - INFO - Epoch(val) [8][4780/6282] eta: 0:01:39 time: 0.0568 data_time: 0.0062 memory: 2609 2023/03/10 23:27:17 - mmengine - INFO - Epoch(val) [8][4800/6282] eta: 0:01:38 time: 0.1076 data_time: 0.0568 memory: 2609 2023/03/10 23:27:19 - mmengine - INFO - Epoch(val) [8][4820/6282] eta: 0:01:36 time: 0.0616 data_time: 0.0081 memory: 2934 2023/03/10 23:27:20 - mmengine - INFO - Epoch(val) [8][4840/6282] eta: 0:01:35 time: 0.0672 data_time: 0.0059 memory: 2934 2023/03/10 23:27:21 - mmengine - INFO - Epoch(val) [8][4860/6282] eta: 0:01:34 time: 0.0642 data_time: 0.0025 memory: 2934 2023/03/10 23:27:23 - mmengine - INFO - Epoch(val) [8][4880/6282] eta: 0:01:32 time: 0.0667 data_time: 0.0022 memory: 2934 2023/03/10 23:27:24 - mmengine - INFO - Epoch(val) [8][4900/6282] eta: 0:01:31 time: 0.0706 data_time: 0.0085 memory: 2934 2023/03/10 23:27:25 - mmengine - INFO - Epoch(val) [8][4920/6282] eta: 0:01:30 time: 0.0637 data_time: 0.0023 memory: 2934 2023/03/10 23:27:27 - mmengine - INFO - Epoch(val) [8][4940/6282] eta: 0:01:28 time: 0.0648 data_time: 0.0023 memory: 2934 2023/03/10 23:27:28 - mmengine - INFO - Epoch(val) [8][4960/6282] eta: 0:01:27 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/10 23:27:29 - mmengine - INFO - Epoch(val) [8][4980/6282] eta: 0:01:26 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/10 23:27:30 - mmengine - INFO - Epoch(val) [8][5000/6282] eta: 0:01:24 time: 0.0645 data_time: 0.0026 memory: 2934 2023/03/10 23:27:31 - mmengine - INFO - Epoch(val) [8][5020/6282] eta: 0:01:23 time: 0.0562 data_time: 0.0023 memory: 2934 2023/03/10 23:27:32 - mmengine - INFO - Epoch(val) [8][5040/6282] eta: 0:01:22 time: 0.0484 data_time: 0.0021 memory: 2397 2023/03/10 23:27:33 - mmengine - INFO - Epoch(val) [8][5060/6282] eta: 0:01:20 time: 0.0524 data_time: 0.0048 memory: 2397 2023/03/10 23:27:35 - mmengine - INFO - Epoch(val) 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eta: 0:01:08 time: 0.0622 data_time: 0.0152 memory: 2396 2023/03/10 23:27:46 - mmengine - INFO - Epoch(val) [8][5260/6282] eta: 0:01:07 time: 0.0582 data_time: 0.0114 memory: 2396 2023/03/10 23:27:47 - mmengine - INFO - Epoch(val) [8][5280/6282] eta: 0:01:06 time: 0.0578 data_time: 0.0105 memory: 2396 2023/03/10 23:27:49 - mmengine - INFO - Epoch(val) [8][5300/6282] eta: 0:01:04 time: 0.0590 data_time: 0.0132 memory: 2396 2023/03/10 23:27:50 - mmengine - INFO - Epoch(val) [8][5320/6282] eta: 0:01:03 time: 0.0607 data_time: 0.0146 memory: 2396 2023/03/10 23:27:51 - mmengine - INFO - Epoch(val) [8][5340/6282] eta: 0:01:02 time: 0.0583 data_time: 0.0105 memory: 2396 2023/03/10 23:27:52 - mmengine - INFO - Epoch(val) [8][5360/6282] eta: 0:01:00 time: 0.0557 data_time: 0.0102 memory: 2396 2023/03/10 23:27:53 - mmengine - INFO - Epoch(val) [8][5380/6282] eta: 0:00:59 time: 0.0588 data_time: 0.0123 memory: 2396 2023/03/10 23:27:55 - mmengine - INFO - Epoch(val) [8][5400/6282] eta: 0:00:58 time: 0.0662 data_time: 0.0192 memory: 2396 2023/03/10 23:27:56 - mmengine - INFO - Epoch(val) [8][5420/6282] eta: 0:00:56 time: 0.0603 data_time: 0.0139 memory: 2396 2023/03/10 23:27:57 - mmengine - INFO - Epoch(val) [8][5440/6282] eta: 0:00:55 time: 0.0609 data_time: 0.0118 memory: 2396 2023/03/10 23:27:58 - mmengine - INFO - Epoch(val) [8][5460/6282] eta: 0:00:54 time: 0.0544 data_time: 0.0095 memory: 2396 2023/03/10 23:27:59 - mmengine - INFO - Epoch(val) [8][5480/6282] eta: 0:00:52 time: 0.0624 data_time: 0.0168 memory: 2396 2023/03/10 23:28:01 - mmengine - INFO - Epoch(val) [8][5500/6282] eta: 0:00:51 time: 0.0887 data_time: 0.0437 memory: 2396 2023/03/10 23:28:02 - mmengine - INFO - Epoch(val) [8][5520/6282] eta: 0:00:50 time: 0.0638 data_time: 0.0131 memory: 2608 2023/03/10 23:28:04 - mmengine - INFO - Epoch(val) [8][5540/6282] eta: 0:00:48 time: 0.0753 data_time: 0.0263 memory: 2608 2023/03/10 23:28:05 - mmengine - INFO - Epoch(val) [8][5560/6282] eta: 0:00:47 time: 0.0605 data_time: 0.0093 memory: 2608 2023/03/10 23:28:06 - mmengine - INFO - Epoch(val) [8][5580/6282] eta: 0:00:46 time: 0.0637 data_time: 0.0072 memory: 2608 2023/03/10 23:28:08 - mmengine - INFO - Epoch(val) [8][5600/6282] eta: 0:00:44 time: 0.0580 data_time: 0.0068 memory: 2608 2023/03/10 23:28:09 - mmengine - INFO - Epoch(val) [8][5620/6282] eta: 0:00:43 time: 0.0605 data_time: 0.0127 memory: 2608 2023/03/10 23:28:10 - mmengine - INFO - Epoch(val) [8][5640/6282] eta: 0:00:42 time: 0.0603 data_time: 0.0151 memory: 2396 2023/03/10 23:28:11 - mmengine - INFO - Epoch(val) [8][5660/6282] eta: 0:00:40 time: 0.0601 data_time: 0.0150 memory: 2396 2023/03/10 23:28:13 - mmengine - INFO - Epoch(val) [8][5680/6282] eta: 0:00:39 time: 0.0636 data_time: 0.0152 memory: 2396 2023/03/10 23:28:15 - mmengine - INFO - Epoch(val) [8][5700/6282] eta: 0:00:38 time: 0.0982 data_time: 0.0535 memory: 2396 2023/03/10 23:28:16 - mmengine - INFO - Epoch(val) [8][5720/6282] eta: 0:00:36 time: 0.0624 data_time: 0.0092 memory: 2686 2023/03/10 23:28:17 - mmengine - INFO - Epoch(val) [8][5740/6282] eta: 0:00:35 time: 0.0578 data_time: 0.0021 memory: 2686 2023/03/10 23:28:18 - mmengine - INFO - Epoch(val) [8][5760/6282] eta: 0:00:34 time: 0.0572 data_time: 0.0020 memory: 2686 2023/03/10 23:28:19 - mmengine - INFO - Epoch(val) [8][5780/6282] eta: 0:00:32 time: 0.0573 data_time: 0.0029 memory: 2686 2023/03/10 23:28:20 - mmengine - INFO - Epoch(val) [8][5800/6282] eta: 0:00:31 time: 0.0569 data_time: 0.0020 memory: 2686 2023/03/10 23:28:22 - mmengine - INFO - Epoch(val) [8][5820/6282] eta: 0:00:30 time: 0.0558 data_time: 0.0030 memory: 2686 2023/03/10 23:28:23 - mmengine - INFO - Epoch(val) [8][5840/6282] eta: 0:00:29 time: 0.0592 data_time: 0.0085 memory: 2608 2023/03/10 23:28:24 - mmengine - INFO - Epoch(val) [8][5860/6282] eta: 0:00:27 time: 0.0851 data_time: 0.0242 memory: 2608 2023/03/10 23:28:26 - mmengine - INFO - Epoch(val) [8][5880/6282] eta: 0:00:26 time: 0.0574 data_time: 0.0066 memory: 2608 2023/03/10 23:28:27 - mmengine - INFO - Epoch(val) [8][5900/6282] eta: 0:00:25 time: 0.0580 data_time: 0.0080 memory: 2608 2023/03/10 23:28:28 - mmengine - INFO - Epoch(val) [8][5920/6282] eta: 0:00:23 time: 0.0574 data_time: 0.0090 memory: 2608 2023/03/10 23:28:29 - mmengine - INFO - Epoch(val) [8][5940/6282] eta: 0:00:22 time: 0.0669 data_time: 0.0195 memory: 2396 2023/03/10 23:28:30 - mmengine - INFO - Epoch(val) [8][5960/6282] eta: 0:00:21 time: 0.0543 data_time: 0.0048 memory: 2396 2023/03/10 23:28:31 - mmengine - INFO - Epoch(val) [8][5980/6282] eta: 0:00:19 time: 0.0575 data_time: 0.0107 memory: 2396 2023/03/10 23:28:33 - mmengine - INFO - Epoch(val) [8][6000/6282] eta: 0:00:18 time: 0.0658 data_time: 0.0074 memory: 2934 2023/03/10 23:28:34 - mmengine - INFO - Epoch(val) [8][6020/6282] eta: 0:00:17 time: 0.0642 data_time: 0.0024 memory: 2934 2023/03/10 23:28:35 - mmengine - INFO - Epoch(val) [8][6040/6282] eta: 0:00:15 time: 0.0647 data_time: 0.0025 memory: 2934 2023/03/10 23:28:37 - mmengine - INFO - Epoch(val) [8][6060/6282] eta: 0:00:14 time: 0.0633 data_time: 0.0029 memory: 2934 2023/03/10 23:28:38 - mmengine - INFO - Epoch(val) [8][6080/6282] eta: 0:00:13 time: 0.0633 data_time: 0.0029 memory: 2934 2023/03/10 23:28:39 - mmengine - INFO - Epoch(val) [8][6100/6282] eta: 0:00:11 time: 0.0631 data_time: 0.0027 memory: 2934 2023/03/10 23:28:40 - mmengine - INFO - Epoch(val) [8][6120/6282] eta: 0:00:10 time: 0.0635 data_time: 0.0029 memory: 2934 2023/03/10 23:28:42 - mmengine - INFO - Epoch(val) [8][6140/6282] eta: 0:00:09 time: 0.0632 data_time: 0.0027 memory: 2934 2023/03/10 23:28:43 - mmengine - INFO - Epoch(val) [8][6160/6282] eta: 0:00:07 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/10 23:28:44 - mmengine - INFO - Epoch(val) [8][6180/6282] eta: 0:00:06 time: 0.0615 data_time: 0.0023 memory: 2934 2023/03/10 23:28:45 - mmengine - INFO - Epoch(val) [8][6200/6282] eta: 0:00:05 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/10 23:28:47 - mmengine - INFO - Epoch(val) [8][6220/6282] eta: 0:00:04 time: 0.0639 data_time: 0.0024 memory: 2934 2023/03/10 23:28:48 - mmengine - INFO - Epoch(val) [8][6240/6282] eta: 0:00:02 time: 0.0614 data_time: 0.0021 memory: 2934 2023/03/10 23:28:49 - mmengine - INFO - Epoch(val) [8][6260/6282] eta: 0:00:01 time: 0.0621 data_time: 0.0019 memory: 2934 2023/03/10 23:28:50 - mmengine - INFO - Epoch(val) [8][6280/6282] eta: 0:00:00 time: 0.0606 data_time: 0.0018 memory: 2934 2023/03/10 23:32:02 - mmengine - INFO - Epoch(val) [8][6282/6282] mAP/mAP@0.5IOU: 0.3299 2023/03/10 23:32:02 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_7.pth is removed 2023/03/10 23:32:04 - mmengine - INFO - The best checkpoint with 0.3299 mAP/mAP@0.5IOU at 8 epoch is saved to best_mAP/mAP@0.5IOU_epoch_8.pth. 2023/03/10 23:32:21 - mmengine - INFO - Epoch(train) [9][ 20/4451] lr: 2.6853e-06 eta: 10:05:37 time: 0.8321 data_time: 0.4121 memory: 51970 grad_norm: 0.1307 loss: 0.0332 recall@thr=0.5: 0.8733 prec@thr=0.5: 0.9083 recall@top3: 0.9100 prec@top3: 0.7667 recall@top5: 0.9833 prec@top5: 0.5200 loss_action_cls: 0.0332 2023/03/10 23:32:34 - mmengine - INFO - Epoch(train) [9][ 40/4451] lr: 2.6845e-06 eta: 10:05:22 time: 0.6288 data_time: 0.2067 memory: 51970 grad_norm: 0.1249 loss: 0.0395 recall@thr=0.5: 0.6102 prec@thr=0.5: 0.6559 recall@top3: 0.7608 prec@top3: 0.5376 recall@top5: 0.8441 prec@top5: 0.3548 loss_action_cls: 0.0395 2023/03/10 23:32:49 - mmengine - INFO - Epoch(train) [9][ 60/4451] lr: 2.6837e-06 eta: 10:05:10 time: 0.7582 data_time: 0.3342 memory: 51970 grad_norm: 0.1368 loss: 0.0360 recall@thr=0.5: 0.7630 prec@thr=0.5: 0.9583 recall@top3: 0.8944 prec@top3: 0.6296 recall@top5: 0.9704 prec@top5: 0.4222 loss_action_cls: 0.0360 2023/03/10 23:33:02 - mmengine - INFO - Epoch(train) [9][ 80/4451] lr: 2.6828e-06 eta: 10:04:56 time: 0.6709 data_time: 0.2468 memory: 51970 grad_norm: 0.1291 loss: 0.0359 recall@thr=0.5: 0.4776 prec@thr=0.5: 0.5977 recall@top3: 0.6931 prec@top3: 0.4253 recall@top5: 0.7690 prec@top5: 0.3034 loss_action_cls: 0.0359 2023/03/10 23:33:18 - mmengine - INFO - Epoch(train) [9][ 100/4451] lr: 2.6820e-06 eta: 10:04:45 time: 0.7638 data_time: 0.3351 memory: 51970 grad_norm: 0.1355 loss: 0.0357 recall@thr=0.5: 0.5756 prec@thr=0.5: 0.5833 recall@top3: 0.7288 prec@top3: 0.4231 recall@top5: 0.8590 prec@top5: 0.3385 loss_action_cls: 0.0357 2023/03/10 23:33:29 - mmengine - INFO - Epoch(train) [9][ 120/4451] lr: 2.6812e-06 eta: 10:04:28 time: 0.5476 data_time: 0.1240 memory: 51970 grad_norm: 0.1308 loss: 0.0435 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8667 recall@top3: 0.8556 prec@top3: 0.7778 recall@top5: 0.9333 prec@top5: 0.5200 loss_action_cls: 0.0435 2023/03/10 23:33:43 - mmengine - INFO - Epoch(train) [9][ 140/4451] lr: 2.6803e-06 eta: 10:04:16 time: 0.7460 data_time: 0.3174 memory: 51970 grad_norm: 0.1373 loss: 0.0398 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.7174 recall@top3: 0.8188 prec@top3: 0.4928 recall@top5: 0.9348 prec@top5: 0.3391 loss_action_cls: 0.0398 2023/03/10 23:33:55 - mmengine - INFO - Epoch(train) [9][ 160/4451] lr: 2.6795e-06 eta: 10:04:00 time: 0.5940 data_time: 0.1693 memory: 51970 grad_norm: 0.1365 loss: 0.0360 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.6759 recall@top3: 0.7315 prec@top3: 0.5741 recall@top5: 0.8426 prec@top5: 0.4111 loss_action_cls: 0.0360 2023/03/10 23:34:08 - mmengine - INFO - Epoch(train) [9][ 180/4451] lr: 2.6787e-06 eta: 10:03:45 time: 0.6278 data_time: 0.1942 memory: 51970 grad_norm: 0.1301 loss: 0.0396 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.7200 recall@top3: 0.7500 prec@top3: 0.6133 recall@top5: 0.9067 prec@top5: 0.4560 loss_action_cls: 0.0396 2023/03/10 23:34:20 - mmengine - INFO - Epoch(train) [9][ 200/4451] lr: 2.6779e-06 eta: 10:03:29 time: 0.6242 data_time: 0.1971 memory: 51970 grad_norm: 0.1331 loss: 0.0376 recall@thr=0.5: 0.5958 prec@thr=0.5: 0.7417 recall@top3: 0.7458 prec@top3: 0.6667 recall@top5: 0.8750 prec@top5: 0.4700 loss_action_cls: 0.0376 2023/03/10 23:34:34 - mmengine - INFO - Epoch(train) [9][ 220/4451] lr: 2.6770e-06 eta: 10:03:16 time: 0.6772 data_time: 0.2449 memory: 51970 grad_norm: 0.1374 loss: 0.0353 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8864 recall@top3: 0.8636 prec@top3: 0.7727 recall@top5: 0.9848 prec@top5: 0.5273 loss_action_cls: 0.0353 2023/03/10 23:34:46 - mmengine - INFO - Epoch(train) [9][ 240/4451] lr: 2.6762e-06 eta: 10:03:00 time: 0.6159 data_time: 0.1857 memory: 51970 grad_norm: 0.1312 loss: 0.0344 recall@thr=0.5: 0.6780 prec@thr=0.5: 0.7576 recall@top3: 0.7576 prec@top3: 0.5152 recall@top5: 0.8636 prec@top5: 0.3818 loss_action_cls: 0.0344 2023/03/10 23:34:59 - mmengine - INFO - Epoch(train) [9][ 260/4451] lr: 2.6754e-06 eta: 10:02:46 time: 0.6547 data_time: 0.1748 memory: 51970 grad_norm: 0.1322 loss: 0.0362 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.6222 recall@top5: 0.9833 prec@top5: 0.4533 loss_action_cls: 0.0362 2023/03/10 23:35:13 - mmengine - INFO - Epoch(train) [9][ 280/4451] lr: 2.6745e-06 eta: 10:02:32 time: 0.6901 data_time: 0.1466 memory: 51970 grad_norm: 0.1375 loss: 0.0339 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8444 recall@top3: 0.9333 prec@top3: 0.7778 recall@top5: 0.9833 prec@top5: 0.5067 loss_action_cls: 0.0339 2023/03/10 23:35:27 - mmengine - INFO - Epoch(train) [9][ 300/4451] lr: 2.6737e-06 eta: 10:02:19 time: 0.6975 data_time: 0.0730 memory: 51970 grad_norm: 0.1290 loss: 0.0393 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.6481 recall@top3: 0.8519 prec@top3: 0.5370 recall@top5: 0.9259 prec@top5: 0.3667 loss_action_cls: 0.0393 2023/03/10 23:35:40 - mmengine - INFO - Epoch(train) [9][ 320/4451] lr: 2.6728e-06 eta: 10:02:04 time: 0.6393 data_time: 0.0150 memory: 51970 grad_norm: 0.1437 loss: 0.0389 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7051 recall@top3: 0.8077 prec@top3: 0.5641 recall@top5: 0.9231 prec@top5: 0.3846 loss_action_cls: 0.0389 2023/03/10 23:35:53 - mmengine - INFO - Epoch(train) [9][ 340/4451] lr: 2.6720e-06 eta: 10:01:50 time: 0.6645 data_time: 0.0131 memory: 51970 grad_norm: 0.1421 loss: 0.0391 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.7692 recall@top3: 0.8622 prec@top3: 0.6923 recall@top5: 0.9359 prec@top5: 0.4615 loss_action_cls: 0.0391 2023/03/10 23:36:06 - mmengine - INFO - Epoch(train) [9][ 360/4451] lr: 2.6712e-06 eta: 10:01:36 time: 0.6607 data_time: 0.0121 memory: 51970 grad_norm: 0.1280 loss: 0.0369 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.5333 recall@top3: 0.7542 prec@top3: 0.4833 recall@top5: 0.8667 prec@top5: 0.3500 loss_action_cls: 0.0369 2023/03/10 23:36:21 - mmengine - INFO - Epoch(train) [9][ 380/4451] lr: 2.6703e-06 eta: 10:01:24 time: 0.7329 data_time: 0.0117 memory: 51970 grad_norm: 0.1380 loss: 0.0365 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8333 recall@top3: 0.9020 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4235 loss_action_cls: 0.0365 2023/03/10 23:36:29 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 23:36:35 - mmengine - INFO - Epoch(train) [9][ 400/4451] lr: 2.6695e-06 eta: 10:01:11 time: 0.6963 data_time: 0.0121 memory: 51970 grad_norm: 0.1285 loss: 0.0341 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8125 recall@top3: 0.8958 prec@top3: 0.6667 recall@top5: 0.9479 prec@top5: 0.4375 loss_action_cls: 0.0341 2023/03/10 23:36:49 - mmengine - INFO - Epoch(train) [9][ 420/4451] lr: 2.6686e-06 eta: 10:00:57 time: 0.6841 data_time: 0.0117 memory: 51970 grad_norm: 0.1354 loss: 0.0374 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7917 recall@top3: 0.8125 prec@top3: 0.6250 recall@top5: 0.9306 prec@top5: 0.4500 loss_action_cls: 0.0374 2023/03/10 23:37:00 - mmengine - INFO - Epoch(train) [9][ 440/4451] lr: 2.6678e-06 eta: 10:00:41 time: 0.5786 data_time: 0.0147 memory: 51970 grad_norm: 0.1386 loss: 0.0396 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.6667 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9630 prec@top5: 0.4000 loss_action_cls: 0.0396 2023/03/10 23:37:15 - mmengine - INFO - Epoch(train) [9][ 460/4451] lr: 2.6670e-06 eta: 10:00:28 time: 0.7161 data_time: 0.0118 memory: 51970 grad_norm: 0.1357 loss: 0.0412 recall@thr=0.5: 0.6994 prec@thr=0.5: 0.7372 recall@top3: 0.8276 prec@top3: 0.6154 recall@top5: 0.9551 prec@top5: 0.4462 loss_action_cls: 0.0412 2023/03/10 23:37:25 - mmengine - INFO - Epoch(train) [9][ 480/4451] lr: 2.6661e-06 eta: 10:00:11 time: 0.5449 data_time: 0.0125 memory: 51970 grad_norm: 0.1320 loss: 0.0350 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.5833 recall@top3: 0.7333 prec@top3: 0.5667 recall@top5: 0.8667 prec@top5: 0.4200 loss_action_cls: 0.0350 2023/03/10 23:37:40 - mmengine - INFO - Epoch(train) [9][ 500/4451] lr: 2.6653e-06 eta: 9:59:58 time: 0.7205 data_time: 0.0159 memory: 51970 grad_norm: 0.1343 loss: 0.0364 recall@thr=0.5: 0.7206 prec@thr=0.5: 0.8333 recall@top3: 0.7402 prec@top3: 0.4902 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0364 2023/03/10 23:37:53 - mmengine - INFO - Epoch(train) [9][ 520/4451] lr: 2.6644e-06 eta: 9:59:44 time: 0.6406 data_time: 0.0133 memory: 51970 grad_norm: 0.1317 loss: 0.0375 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6429 recall@top3: 0.7976 prec@top3: 0.5714 recall@top5: 0.9405 prec@top5: 0.4143 loss_action_cls: 0.0375 2023/03/10 23:38:08 - mmengine - INFO - Epoch(train) [9][ 540/4451] lr: 2.6636e-06 eta: 9:59:33 time: 0.7818 data_time: 0.0109 memory: 51970 grad_norm: 0.1332 loss: 0.0372 recall@thr=0.5: 0.6897 prec@thr=0.5: 0.8621 recall@top3: 0.8276 prec@top3: 0.5862 recall@top5: 0.9052 prec@top5: 0.4000 loss_action_cls: 0.0372 2023/03/10 23:38:21 - mmengine - INFO - Epoch(train) [9][ 560/4451] lr: 2.6627e-06 eta: 9:59:18 time: 0.6287 data_time: 0.0123 memory: 51970 grad_norm: 0.1296 loss: 0.0382 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.8182 recall@top3: 0.8295 prec@top3: 0.6970 recall@top5: 0.9318 prec@top5: 0.4818 loss_action_cls: 0.0382 2023/03/10 23:38:34 - mmengine - INFO - Epoch(train) [9][ 580/4451] lr: 2.6619e-06 eta: 9:59:03 time: 0.6545 data_time: 0.0120 memory: 51970 grad_norm: 0.1310 loss: 0.0376 recall@thr=0.5: 0.8739 prec@thr=0.5: 0.8768 recall@top3: 0.8891 prec@top3: 0.7536 recall@top5: 0.9391 prec@top5: 0.4870 loss_action_cls: 0.0376 2023/03/10 23:38:47 - mmengine - INFO - Epoch(train) [9][ 600/4451] lr: 2.6610e-06 eta: 9:58:49 time: 0.6544 data_time: 0.0128 memory: 51970 grad_norm: 0.1367 loss: 0.0364 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.8667 prec@top5: 0.3600 loss_action_cls: 0.0364 2023/03/10 23:38:59 - mmengine - INFO - Epoch(train) [9][ 620/4451] lr: 2.6602e-06 eta: 9:58:33 time: 0.6137 data_time: 0.0123 memory: 51970 grad_norm: 0.1310 loss: 0.0395 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.8526 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9872 prec@top5: 0.4846 loss_action_cls: 0.0395 2023/03/10 23:39:11 - mmengine - INFO - Epoch(train) [9][ 640/4451] lr: 2.6593e-06 eta: 9:58:17 time: 0.5729 data_time: 0.0130 memory: 51970 grad_norm: 0.1320 loss: 0.0388 recall@thr=0.5: 0.7956 prec@thr=0.5: 0.8556 recall@top3: 0.8956 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0388 2023/03/10 23:39:24 - mmengine - INFO - Epoch(train) [9][ 660/4451] lr: 2.6584e-06 eta: 9:58:03 time: 0.6663 data_time: 0.0121 memory: 51970 grad_norm: 0.1328 loss: 0.0401 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7230 recall@top3: 0.7381 prec@top3: 0.6349 recall@top5: 0.9048 prec@top5: 0.4762 loss_action_cls: 0.0401 2023/03/10 23:39:37 - mmengine - INFO - Epoch(train) [9][ 680/4451] lr: 2.6576e-06 eta: 9:57:49 time: 0.6593 data_time: 0.0126 memory: 51970 grad_norm: 0.1293 loss: 0.0378 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8333 recall@top3: 0.8611 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.3833 loss_action_cls: 0.0378 2023/03/10 23:39:52 - mmengine - INFO - Epoch(train) [9][ 700/4451] lr: 2.6567e-06 eta: 9:57:37 time: 0.7344 data_time: 0.0899 memory: 51970 grad_norm: 0.1308 loss: 0.0374 recall@thr=0.5: 0.5611 prec@thr=0.5: 0.6778 recall@top3: 0.8111 prec@top3: 0.6444 recall@top5: 0.9722 prec@top5: 0.4800 loss_action_cls: 0.0374 2023/03/10 23:40:06 - mmengine - INFO - Epoch(train) [9][ 720/4451] lr: 2.6559e-06 eta: 9:57:23 time: 0.6934 data_time: 0.0116 memory: 51970 grad_norm: 0.1335 loss: 0.0368 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.7500 recall@top3: 0.7821 prec@top3: 0.6538 recall@top5: 0.8365 prec@top5: 0.4308 loss_action_cls: 0.0368 2023/03/10 23:40:20 - mmengine - INFO - Epoch(train) [9][ 740/4451] lr: 2.6550e-06 eta: 9:57:10 time: 0.6887 data_time: 0.0464 memory: 51970 grad_norm: 0.1410 loss: 0.0409 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7308 recall@top3: 0.8846 prec@top3: 0.5641 recall@top5: 0.9615 prec@top5: 0.3846 loss_action_cls: 0.0409 2023/03/10 23:40:34 - mmengine - INFO - Epoch(train) [9][ 760/4451] lr: 2.6542e-06 eta: 9:56:57 time: 0.6905 data_time: 0.2672 memory: 51970 grad_norm: 0.1423 loss: 0.0385 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7540 recall@top3: 0.9127 prec@top3: 0.6508 recall@top5: 0.9683 prec@top5: 0.4190 loss_action_cls: 0.0385 2023/03/10 23:40:47 - mmengine - INFO - Epoch(train) [9][ 780/4451] lr: 2.6533e-06 eta: 9:56:43 time: 0.6712 data_time: 0.1688 memory: 51970 grad_norm: 0.1328 loss: 0.0407 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.6875 recall@top3: 0.6771 prec@top3: 0.5208 recall@top5: 0.8177 prec@top5: 0.4000 loss_action_cls: 0.0407 2023/03/10 23:41:01 - mmengine - INFO - Epoch(train) [9][ 800/4451] lr: 2.6524e-06 eta: 9:56:30 time: 0.7264 data_time: 0.0346 memory: 51970 grad_norm: 0.1285 loss: 0.0402 recall@thr=0.5: 0.9037 prec@thr=0.5: 0.8389 recall@top3: 0.8259 prec@top3: 0.7963 recall@top5: 1.0000 prec@top5: 0.6222 loss_action_cls: 0.0402 2023/03/10 23:41:14 - mmengine - INFO - Epoch(train) [9][ 820/4451] lr: 2.6516e-06 eta: 9:56:15 time: 0.6091 data_time: 0.0761 memory: 51970 grad_norm: 0.1431 loss: 0.0380 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.7250 recall@top3: 0.9667 prec@top3: 0.4833 recall@top5: 1.0000 prec@top5: 0.3100 loss_action_cls: 0.0380 2023/03/10 23:41:27 - mmengine - INFO - Epoch(train) [9][ 840/4451] lr: 2.6507e-06 eta: 9:56:01 time: 0.6738 data_time: 0.1862 memory: 51970 grad_norm: 0.1300 loss: 0.0382 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7121 recall@top3: 0.8030 prec@top3: 0.7121 recall@top5: 0.9697 prec@top5: 0.5091 loss_action_cls: 0.0382 2023/03/10 23:41:42 - mmengine - INFO - Epoch(train) [9][ 860/4451] lr: 2.6498e-06 eta: 9:55:50 time: 0.7619 data_time: 0.3019 memory: 51970 grad_norm: 0.1330 loss: 0.0389 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6429 recall@top3: 0.6667 prec@top3: 0.4762 recall@top5: 0.8452 prec@top5: 0.3571 loss_action_cls: 0.0389 2023/03/10 23:41:56 - mmengine - INFO - Epoch(train) [9][ 880/4451] lr: 2.6490e-06 eta: 9:55:37 time: 0.6952 data_time: 0.2609 memory: 51970 grad_norm: 0.1319 loss: 0.0408 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6944 recall@top3: 0.6639 prec@top3: 0.5139 recall@top5: 0.7958 prec@top5: 0.3833 loss_action_cls: 0.0408 2023/03/10 23:42:11 - mmengine - INFO - Epoch(train) [9][ 900/4451] lr: 2.6481e-06 eta: 9:55:24 time: 0.7209 data_time: 0.2921 memory: 51970 grad_norm: 0.1324 loss: 0.0406 recall@thr=0.5: 0.6326 prec@thr=0.5: 0.6364 recall@top3: 0.8598 prec@top3: 0.6818 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0406 2023/03/10 23:42:24 - mmengine - INFO - Epoch(train) [9][ 920/4451] lr: 2.6472e-06 eta: 9:55:10 time: 0.6446 data_time: 0.2131 memory: 51970 grad_norm: 0.1330 loss: 0.0366 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7857 recall@top3: 0.8750 prec@top3: 0.5714 recall@top5: 0.9821 prec@top5: 0.4000 loss_action_cls: 0.0366 2023/03/10 23:42:37 - mmengine - INFO - Epoch(train) [9][ 940/4451] lr: 2.6464e-06 eta: 9:54:56 time: 0.6688 data_time: 0.2434 memory: 51970 grad_norm: 0.1420 loss: 0.0367 recall@thr=0.5: 0.7944 prec@thr=0.5: 0.8373 recall@top3: 0.8389 prec@top3: 0.6984 recall@top5: 0.9603 prec@top5: 0.5143 loss_action_cls: 0.0367 2023/03/10 23:42:49 - mmengine - INFO - Epoch(train) [9][ 960/4451] lr: 2.6455e-06 eta: 9:54:39 time: 0.5833 data_time: 0.1533 memory: 51970 grad_norm: 0.1285 loss: 0.0375 recall@thr=0.5: 0.9120 prec@thr=0.5: 0.8519 recall@top3: 0.8981 prec@top3: 0.6852 recall@top5: 0.9491 prec@top5: 0.4444 loss_action_cls: 0.0375 2023/03/10 23:43:02 - mmengine - INFO - Epoch(train) [9][ 980/4451] lr: 2.6446e-06 eta: 9:54:25 time: 0.6762 data_time: 0.2515 memory: 51970 grad_norm: 0.1345 loss: 0.0394 recall@thr=0.5: 0.8741 prec@thr=0.5: 0.9259 recall@top3: 0.8864 prec@top3: 0.7778 recall@top5: 0.9741 prec@top5: 0.5185 loss_action_cls: 0.0394 2023/03/10 23:43:14 - mmengine - INFO - Epoch(train) [9][1000/4451] lr: 2.6437e-06 eta: 9:54:09 time: 0.5867 data_time: 0.1626 memory: 51970 grad_norm: 0.1335 loss: 0.0366 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.7583 recall@top3: 0.7467 prec@top3: 0.5833 recall@top5: 0.8867 prec@top5: 0.4300 loss_action_cls: 0.0366 2023/03/10 23:43:30 - mmengine - INFO - Epoch(train) [9][1020/4451] lr: 2.6429e-06 eta: 9:53:59 time: 0.7877 data_time: 0.3619 memory: 51970 grad_norm: 0.1381 loss: 0.0366 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.9278 recall@top3: 0.9222 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0366 2023/03/10 23:43:42 - mmengine - INFO - Epoch(train) [9][1040/4451] lr: 2.6420e-06 eta: 9:53:43 time: 0.6077 data_time: 0.1795 memory: 51970 grad_norm: 0.1278 loss: 0.0387 recall@thr=0.5: 0.4211 prec@thr=0.5: 0.4035 recall@top3: 0.6228 prec@top3: 0.4211 recall@top5: 0.7544 prec@top5: 0.3158 loss_action_cls: 0.0387 2023/03/10 23:43:55 - mmengine - INFO - Epoch(train) [9][1060/4451] lr: 2.6411e-06 eta: 9:53:29 time: 0.6662 data_time: 0.2403 memory: 51970 grad_norm: 0.1329 loss: 0.0398 recall@thr=0.5: 0.6891 prec@thr=0.5: 0.7276 recall@top3: 0.7917 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0398 2023/03/10 23:44:08 - mmengine - INFO - Epoch(train) [9][1080/4451] lr: 2.6402e-06 eta: 9:53:14 time: 0.6250 data_time: 0.1964 memory: 51970 grad_norm: 0.1390 loss: 0.0370 recall@thr=0.5: 0.8261 prec@thr=0.5: 0.8478 recall@top3: 0.8514 prec@top3: 0.6232 recall@top5: 1.0000 prec@top5: 0.4609 loss_action_cls: 0.0370 2023/03/10 23:44:22 - mmengine - INFO - Epoch(train) [9][1100/4451] lr: 2.6394e-06 eta: 9:53:01 time: 0.7104 data_time: 0.2695 memory: 51970 grad_norm: 0.1366 loss: 0.0339 recall@thr=0.5: 0.6380 prec@thr=0.5: 0.7593 recall@top3: 0.8102 prec@top3: 0.6481 recall@top5: 0.9361 prec@top5: 0.4778 loss_action_cls: 0.0339 2023/03/10 23:44:34 - mmengine - INFO - Epoch(train) [9][1120/4451] lr: 2.6385e-06 eta: 9:52:46 time: 0.6259 data_time: 0.1480 memory: 51970 grad_norm: 0.1414 loss: 0.0373 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7639 recall@top3: 0.7824 prec@top3: 0.6667 recall@top5: 0.8519 prec@top5: 0.4444 loss_action_cls: 0.0373 2023/03/10 23:44:49 - mmengine - INFO - Epoch(train) [9][1140/4451] lr: 2.6376e-06 eta: 9:52:34 time: 0.7275 data_time: 0.1629 memory: 51970 grad_norm: 0.1375 loss: 0.0359 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.7576 recall@top3: 0.9201 prec@top3: 0.7361 recall@top5: 0.9861 prec@top5: 0.4833 loss_action_cls: 0.0359 2023/03/10 23:45:03 - mmengine - INFO - Epoch(train) [9][1160/4451] lr: 2.6367e-06 eta: 9:52:20 time: 0.6812 data_time: 0.0124 memory: 51970 grad_norm: 0.1349 loss: 0.0325 recall@thr=0.5: 0.8036 prec@thr=0.5: 0.8393 recall@top3: 0.8393 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0325 2023/03/10 23:45:16 - mmengine - INFO - Epoch(train) [9][1180/4451] lr: 2.6358e-06 eta: 9:52:06 time: 0.6523 data_time: 0.0257 memory: 51970 grad_norm: 0.1330 loss: 0.0400 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9444 recall@top3: 0.8806 prec@top3: 0.7407 recall@top5: 0.9241 prec@top5: 0.4778 loss_action_cls: 0.0400 2023/03/10 23:45:28 - mmengine - INFO - Epoch(train) [9][1200/4451] lr: 2.6350e-06 eta: 9:51:51 time: 0.6329 data_time: 0.0126 memory: 51970 grad_norm: 0.1360 loss: 0.0362 recall@thr=0.5: 0.6181 prec@thr=0.5: 0.7569 recall@top3: 0.8611 prec@top3: 0.4722 recall@top5: 0.9861 prec@top5: 0.3500 loss_action_cls: 0.0362 2023/03/10 23:45:41 - mmengine - INFO - Epoch(train) [9][1220/4451] lr: 2.6341e-06 eta: 9:51:36 time: 0.6514 data_time: 0.0132 memory: 51970 grad_norm: 0.1294 loss: 0.0370 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.8796 recall@top3: 0.8676 prec@top3: 0.7778 recall@top5: 0.9481 prec@top5: 0.5222 loss_action_cls: 0.0370 2023/03/10 23:45:54 - mmengine - INFO - Epoch(train) [9][1240/4451] lr: 2.6332e-06 eta: 9:51:21 time: 0.6329 data_time: 0.0124 memory: 51970 grad_norm: 0.1264 loss: 0.0400 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8000 recall@top3: 0.8467 prec@top3: 0.7200 recall@top5: 0.9600 prec@top5: 0.4960 loss_action_cls: 0.0400 2023/03/10 23:46:10 - mmengine - INFO - Epoch(train) [9][1260/4451] lr: 2.6323e-06 eta: 9:51:11 time: 0.7780 data_time: 0.0134 memory: 51970 grad_norm: 0.1417 loss: 0.0349 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8542 recall@top3: 0.9077 prec@top3: 0.6429 recall@top5: 0.9583 prec@top5: 0.4214 loss_action_cls: 0.0349 2023/03/10 23:46:21 - mmengine - INFO - Epoch(train) [9][1280/4451] lr: 2.6314e-06 eta: 9:50:55 time: 0.5933 data_time: 0.0128 memory: 51970 grad_norm: 0.1369 loss: 0.0360 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6458 recall@top3: 0.7847 prec@top3: 0.5278 recall@top5: 0.8056 prec@top5: 0.3333 loss_action_cls: 0.0360 2023/03/10 23:46:37 - mmengine - INFO - Epoch(train) [9][1300/4451] lr: 2.6305e-06 eta: 9:50:43 time: 0.7557 data_time: 0.0144 memory: 51970 grad_norm: 0.1361 loss: 0.0390 recall@thr=0.5: 0.6991 prec@thr=0.5: 0.8102 recall@top3: 0.7593 prec@top3: 0.7222 recall@top5: 0.8472 prec@top5: 0.5000 loss_action_cls: 0.0390 2023/03/10 23:46:48 - mmengine - INFO - Epoch(train) [9][1320/4451] lr: 2.6296e-06 eta: 9:50:26 time: 0.5620 data_time: 0.0122 memory: 51970 grad_norm: 0.1248 loss: 0.0359 recall@thr=0.5: 0.8509 prec@thr=0.5: 1.0000 recall@top3: 0.9254 prec@top3: 0.8246 recall@top5: 0.9649 prec@top5: 0.5263 loss_action_cls: 0.0359 2023/03/10 23:47:03 - mmengine - INFO - Epoch(train) [9][1340/4451] lr: 2.6287e-06 eta: 9:50:15 time: 0.7779 data_time: 0.0293 memory: 51970 grad_norm: 0.1346 loss: 0.0377 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.8182 recall@top3: 0.7833 prec@top3: 0.5000 recall@top5: 0.8644 prec@top5: 0.3636 loss_action_cls: 0.0377 2023/03/10 23:47:16 - mmengine - INFO - Epoch(train) [9][1360/4451] lr: 2.6279e-06 eta: 9:50:00 time: 0.6315 data_time: 0.0117 memory: 51970 grad_norm: 0.1301 loss: 0.0386 recall@thr=0.5: 0.5463 prec@thr=0.5: 0.5833 recall@top3: 0.8148 prec@top3: 0.5556 recall@top5: 0.9722 prec@top5: 0.4111 loss_action_cls: 0.0386 2023/03/10 23:47:28 - mmengine - INFO - Epoch(train) [9][1380/4451] lr: 2.6270e-06 eta: 9:49:45 time: 0.6218 data_time: 0.0309 memory: 51970 grad_norm: 0.1360 loss: 0.0334 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7540 recall@top3: 0.8333 prec@top3: 0.5714 recall@top5: 0.9762 prec@top5: 0.4286 loss_action_cls: 0.0334 2023/03/10 23:47:36 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 23:47:40 - mmengine - INFO - Epoch(train) [9][1400/4451] lr: 2.6261e-06 eta: 9:49:29 time: 0.6039 data_time: 0.0766 memory: 51970 grad_norm: 0.1299 loss: 0.0398 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7596 recall@top3: 0.7577 prec@top3: 0.7308 recall@top5: 0.8910 prec@top5: 0.5231 loss_action_cls: 0.0398 2023/03/10 23:47:56 - mmengine - INFO - Epoch(train) [9][1420/4451] lr: 2.6252e-06 eta: 9:49:18 time: 0.7736 data_time: 0.1256 memory: 51970 grad_norm: 0.1365 loss: 0.0321 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7778 recall@top3: 0.8611 prec@top3: 0.6852 recall@top5: 0.9537 prec@top5: 0.4556 loss_action_cls: 0.0321 2023/03/10 23:48:08 - mmengine - INFO - Epoch(train) [9][1440/4451] lr: 2.6243e-06 eta: 9:49:02 time: 0.5816 data_time: 0.1205 memory: 51970 grad_norm: 0.1313 loss: 0.0340 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6961 recall@top3: 0.8333 prec@top3: 0.6863 recall@top5: 0.9118 prec@top5: 0.4588 loss_action_cls: 0.0340 2023/03/10 23:48:21 - mmengine - INFO - Epoch(train) [9][1460/4451] lr: 2.6234e-06 eta: 9:48:49 time: 0.6935 data_time: 0.2372 memory: 51970 grad_norm: 0.1360 loss: 0.0424 recall@thr=0.5: 0.6442 prec@thr=0.5: 0.6923 recall@top3: 0.8109 prec@top3: 0.5897 recall@top5: 0.9423 prec@top5: 0.4385 loss_action_cls: 0.0424 2023/03/10 23:48:34 - mmengine - INFO - Epoch(train) [9][1480/4451] lr: 2.6225e-06 eta: 9:48:34 time: 0.6284 data_time: 0.1831 memory: 51970 grad_norm: 0.1433 loss: 0.0396 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8272 recall@top3: 0.8426 prec@top3: 0.8025 recall@top5: 0.9444 prec@top5: 0.5481 loss_action_cls: 0.0396 2023/03/10 23:48:47 - mmengine - INFO - Epoch(train) [9][1500/4451] lr: 2.6216e-06 eta: 9:48:19 time: 0.6369 data_time: 0.2109 memory: 51970 grad_norm: 0.1339 loss: 0.0364 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6583 recall@top3: 0.7958 prec@top3: 0.6167 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0364 2023/03/10 23:48:59 - mmengine - INFO - Epoch(train) [9][1520/4451] lr: 2.6207e-06 eta: 9:48:03 time: 0.6113 data_time: 0.1316 memory: 51970 grad_norm: 0.1342 loss: 0.0335 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6667 recall@top3: 0.8485 prec@top3: 0.6818 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0335 2023/03/10 23:49:14 - mmengine - INFO - Epoch(train) [9][1540/4451] lr: 2.6198e-06 eta: 9:47:52 time: 0.7472 data_time: 0.2672 memory: 51970 grad_norm: 0.1332 loss: 0.0365 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.4889 recall@top3: 0.6500 prec@top3: 0.4889 recall@top5: 0.8667 prec@top5: 0.4000 loss_action_cls: 0.0365 2023/03/10 23:49:25 - mmengine - INFO - Epoch(train) [9][1560/4451] lr: 2.6189e-06 eta: 9:47:35 time: 0.5743 data_time: 0.1475 memory: 51970 grad_norm: 0.1309 loss: 0.0376 recall@thr=0.5: 0.6698 prec@thr=0.5: 0.6605 recall@top3: 0.7037 prec@top3: 0.4938 recall@top5: 0.8920 prec@top5: 0.3704 loss_action_cls: 0.0376 2023/03/10 23:49:41 - mmengine - INFO - Epoch(train) [9][1580/4451] lr: 2.6180e-06 eta: 9:47:24 time: 0.7646 data_time: 0.3389 memory: 51970 grad_norm: 0.1340 loss: 0.0339 recall@thr=0.5: 0.6609 prec@thr=0.5: 0.6954 recall@top3: 0.8276 prec@top3: 0.7586 recall@top5: 0.9598 prec@top5: 0.5241 loss_action_cls: 0.0339 2023/03/10 23:49:54 - mmengine - INFO - Epoch(train) [9][1600/4451] lr: 2.6171e-06 eta: 9:47:09 time: 0.6513 data_time: 0.2212 memory: 51970 grad_norm: 0.1347 loss: 0.0377 recall@thr=0.5: 0.8229 prec@thr=0.5: 0.8500 recall@top3: 0.7990 prec@top3: 0.7083 recall@top5: 0.9479 prec@top5: 0.5375 loss_action_cls: 0.0377 2023/03/10 23:50:07 - mmengine - INFO - Epoch(train) [9][1620/4451] lr: 2.6162e-06 eta: 9:46:56 time: 0.6771 data_time: 0.2389 memory: 51970 grad_norm: 0.1359 loss: 0.0426 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8922 recall@top3: 0.8529 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4353 loss_action_cls: 0.0426 2023/03/10 23:50:20 - mmengine - INFO - Epoch(train) [9][1640/4451] lr: 2.6153e-06 eta: 9:46:40 time: 0.6139 data_time: 0.1604 memory: 51970 grad_norm: 0.1366 loss: 0.0381 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.7187 recall@top3: 0.7448 prec@top3: 0.6250 recall@top5: 0.8281 prec@top5: 0.4250 loss_action_cls: 0.0381 2023/03/10 23:50:33 - mmengine - INFO - Epoch(train) [9][1660/4451] lr: 2.6144e-06 eta: 9:46:26 time: 0.6527 data_time: 0.1759 memory: 51970 grad_norm: 0.1327 loss: 0.0357 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.6884 recall@top3: 0.8841 prec@top3: 0.7246 recall@top5: 0.9457 prec@top5: 0.4696 loss_action_cls: 0.0357 2023/03/10 23:50:46 - mmengine - INFO - Epoch(train) [9][1680/4451] lr: 2.6135e-06 eta: 9:46:12 time: 0.6518 data_time: 0.1633 memory: 51970 grad_norm: 0.1294 loss: 0.0369 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8000 recall@top3: 0.8450 prec@top3: 0.7167 recall@top5: 0.9650 prec@top5: 0.5100 loss_action_cls: 0.0369 2023/03/10 23:50:59 - mmengine - INFO - Epoch(train) [9][1700/4451] lr: 2.6125e-06 eta: 9:45:58 time: 0.6638 data_time: 0.2367 memory: 51970 grad_norm: 0.1328 loss: 0.0374 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8681 recall@top3: 0.9028 prec@top3: 0.5972 recall@top5: 1.0000 prec@top5: 0.4083 loss_action_cls: 0.0374 2023/03/10 23:51:12 - mmengine - INFO - Epoch(train) [9][1720/4451] lr: 2.6116e-06 eta: 9:45:43 time: 0.6380 data_time: 0.1973 memory: 51970 grad_norm: 0.1342 loss: 0.0388 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6204 recall@top3: 0.7963 prec@top3: 0.4444 recall@top5: 0.8981 prec@top5: 0.3111 loss_action_cls: 0.0388 2023/03/10 23:51:24 - mmengine - INFO - Epoch(train) [9][1740/4451] lr: 2.6107e-06 eta: 9:45:28 time: 0.6297 data_time: 0.0931 memory: 51970 grad_norm: 0.1376 loss: 0.0379 recall@thr=0.5: 0.8183 prec@thr=0.5: 0.7325 recall@top3: 0.8063 prec@top3: 0.6349 recall@top5: 0.9524 prec@top5: 0.4952 loss_action_cls: 0.0379 2023/03/10 23:51:37 - mmengine - INFO - Epoch(train) [9][1760/4451] lr: 2.6098e-06 eta: 9:45:13 time: 0.6274 data_time: 0.0132 memory: 51970 grad_norm: 0.1307 loss: 0.0364 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8529 recall@top3: 0.8333 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0364 2023/03/10 23:51:50 - mmengine - INFO - Epoch(train) [9][1780/4451] lr: 2.6089e-06 eta: 9:44:59 time: 0.6585 data_time: 0.0437 memory: 51970 grad_norm: 0.1348 loss: 0.0356 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.7037 recall@top3: 0.7778 prec@top3: 0.6296 recall@top5: 0.9444 prec@top5: 0.4556 loss_action_cls: 0.0356 2023/03/10 23:52:05 - mmengine - INFO - Epoch(train) [9][1800/4451] lr: 2.6080e-06 eta: 9:44:47 time: 0.7569 data_time: 0.0382 memory: 51970 grad_norm: 0.1413 loss: 0.0347 recall@thr=0.5: 0.6912 prec@thr=0.5: 0.7807 recall@top3: 0.8035 prec@top3: 0.6491 recall@top5: 0.9719 prec@top5: 0.4737 loss_action_cls: 0.0347 2023/03/10 23:52:19 - mmengine - INFO - Epoch(train) [9][1820/4451] lr: 2.6071e-06 eta: 9:44:34 time: 0.6826 data_time: 0.0123 memory: 51970 grad_norm: 0.1295 loss: 0.0359 recall@thr=0.5: 0.4071 prec@thr=0.5: 0.4551 recall@top3: 0.6827 prec@top3: 0.4872 recall@top5: 0.7276 prec@top5: 0.3231 loss_action_cls: 0.0359 2023/03/10 23:52:31 - mmengine - INFO - Epoch(train) [9][1840/4451] lr: 2.6062e-06 eta: 9:44:19 time: 0.6273 data_time: 0.0134 memory: 51970 grad_norm: 0.1424 loss: 0.0401 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7500 recall@top3: 0.8380 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.4222 loss_action_cls: 0.0401 2023/03/10 23:52:45 - mmengine - INFO - Epoch(train) [9][1860/4451] lr: 2.6052e-06 eta: 9:44:04 time: 0.6573 data_time: 0.0116 memory: 51970 grad_norm: 0.1305 loss: 0.0375 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6556 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9278 prec@top5: 0.3867 loss_action_cls: 0.0375 2023/03/10 23:52:57 - mmengine - INFO - Epoch(train) [9][1880/4451] lr: 2.6043e-06 eta: 9:43:50 time: 0.6384 data_time: 0.0127 memory: 51970 grad_norm: 0.1313 loss: 0.0393 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.7949 recall@top3: 0.8462 prec@top3: 0.4103 recall@top5: 0.9231 prec@top5: 0.2769 loss_action_cls: 0.0393 2023/03/10 23:53:10 - mmengine - INFO - Epoch(train) [9][1900/4451] lr: 2.6034e-06 eta: 9:43:34 time: 0.6085 data_time: 0.0123 memory: 51970 grad_norm: 0.1281 loss: 0.0323 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7685 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.8889 prec@top5: 0.4444 loss_action_cls: 0.0323 2023/03/10 23:53:24 - mmengine - INFO - Epoch(train) [9][1920/4451] lr: 2.6025e-06 eta: 9:43:21 time: 0.7051 data_time: 0.0134 memory: 51970 grad_norm: 0.1289 loss: 0.0365 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.8725 recall@top3: 0.8294 prec@top3: 0.7059 recall@top5: 0.8902 prec@top5: 0.4588 loss_action_cls: 0.0365 2023/03/10 23:53:35 - mmengine - INFO - Epoch(train) [9][1940/4451] lr: 2.6016e-06 eta: 9:43:04 time: 0.5540 data_time: 0.0124 memory: 51970 grad_norm: 0.1281 loss: 0.0367 recall@thr=0.5: 0.4960 prec@thr=0.5: 0.7381 recall@top3: 0.7540 prec@top3: 0.5714 recall@top5: 0.8492 prec@top5: 0.3810 loss_action_cls: 0.0367 2023/03/10 23:53:48 - mmengine - INFO - Epoch(train) [9][1960/4451] lr: 2.6006e-06 eta: 9:42:50 time: 0.6566 data_time: 0.0130 memory: 51970 grad_norm: 0.1416 loss: 0.0326 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.7353 recall@top3: 0.8456 prec@top3: 0.6961 recall@top5: 0.9559 prec@top5: 0.4824 loss_action_cls: 0.0326 2023/03/10 23:54:00 - mmengine - INFO - Epoch(train) [9][1980/4451] lr: 2.5997e-06 eta: 9:42:35 time: 0.6178 data_time: 0.0121 memory: 51970 grad_norm: 0.1333 loss: 0.0347 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9524 recall@top3: 0.9345 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0347 2023/03/10 23:54:14 - mmengine - INFO - Epoch(train) [9][2000/4451] lr: 2.5988e-06 eta: 9:42:22 time: 0.7064 data_time: 0.0128 memory: 51970 grad_norm: 0.1385 loss: 0.0382 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.6204 recall@top3: 0.9074 prec@top3: 0.5000 recall@top5: 0.9444 prec@top5: 0.3222 loss_action_cls: 0.0382 2023/03/10 23:54:26 - mmengine - INFO - Epoch(train) [9][2020/4451] lr: 2.5979e-06 eta: 9:42:05 time: 0.5808 data_time: 0.0135 memory: 51970 grad_norm: 0.1330 loss: 0.0401 recall@thr=0.5: 0.6343 prec@thr=0.5: 0.7593 recall@top3: 0.7176 prec@top3: 0.5185 recall@top5: 0.9259 prec@top5: 0.4222 loss_action_cls: 0.0401 2023/03/10 23:54:41 - mmengine - INFO - Epoch(train) [9][2040/4451] lr: 2.5969e-06 eta: 9:41:54 time: 0.7693 data_time: 0.0134 memory: 51970 grad_norm: 0.1288 loss: 0.0396 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.7302 recall@top3: 0.7944 prec@top3: 0.6984 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0396 2023/03/10 23:54:53 - mmengine - INFO - Epoch(train) [9][2060/4451] lr: 2.5960e-06 eta: 9:41:38 time: 0.5648 data_time: 0.0368 memory: 51970 grad_norm: 0.1354 loss: 0.0332 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.7500 recall@top3: 0.8292 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5100 loss_action_cls: 0.0332 2023/03/10 23:55:05 - mmengine - INFO - Epoch(train) [9][2080/4451] lr: 2.5951e-06 eta: 9:41:23 time: 0.6415 data_time: 0.0199 memory: 51970 grad_norm: 0.1274 loss: 0.0404 recall@thr=0.5: 0.6151 prec@thr=0.5: 0.6905 recall@top3: 0.7460 prec@top3: 0.6667 recall@top5: 0.9603 prec@top5: 0.5048 loss_action_cls: 0.0404 2023/03/10 23:55:20 - mmengine - INFO - Epoch(train) [9][2100/4451] lr: 2.5942e-06 eta: 9:41:10 time: 0.7090 data_time: 0.1605 memory: 51970 grad_norm: 0.1327 loss: 0.0365 recall@thr=0.5: 0.6868 prec@thr=0.5: 0.7701 recall@top3: 0.7989 prec@top3: 0.7356 recall@top5: 0.9224 prec@top5: 0.5241 loss_action_cls: 0.0365 2023/03/10 23:55:35 - mmengine - INFO - Epoch(train) [9][2120/4451] lr: 2.5932e-06 eta: 9:40:59 time: 0.7778 data_time: 0.0129 memory: 51970 grad_norm: 0.1344 loss: 0.0361 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7167 recall@top3: 0.7583 prec@top3: 0.5500 recall@top5: 0.9083 prec@top5: 0.4100 loss_action_cls: 0.0361 2023/03/10 23:55:48 - mmengine - INFO - Epoch(train) [9][2140/4451] lr: 2.5923e-06 eta: 9:40:45 time: 0.6373 data_time: 0.0127 memory: 51970 grad_norm: 0.1300 loss: 0.0334 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8175 recall@top3: 0.9048 prec@top3: 0.6984 recall@top5: 0.9841 prec@top5: 0.4667 loss_action_cls: 0.0334 2023/03/10 23:56:01 - mmengine - INFO - Epoch(train) [9][2160/4451] lr: 2.5914e-06 eta: 9:40:30 time: 0.6378 data_time: 0.0144 memory: 51970 grad_norm: 0.1343 loss: 0.0361 recall@thr=0.5: 0.4823 prec@thr=0.5: 0.6452 recall@top3: 0.7376 prec@top3: 0.6129 recall@top5: 0.9462 prec@top5: 0.5097 loss_action_cls: 0.0361 2023/03/10 23:56:12 - mmengine - INFO - Epoch(train) [9][2180/4451] lr: 2.5904e-06 eta: 9:40:14 time: 0.5845 data_time: 0.0511 memory: 51970 grad_norm: 0.1302 loss: 0.0349 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.7500 recall@top3: 0.8403 prec@top3: 0.6944 recall@top5: 0.9236 prec@top5: 0.4750 loss_action_cls: 0.0349 2023/03/10 23:56:26 - mmengine - INFO - Epoch(train) [9][2200/4451] lr: 2.5895e-06 eta: 9:40:00 time: 0.6856 data_time: 0.1221 memory: 51970 grad_norm: 0.1388 loss: 0.0372 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8444 recall@top3: 0.9405 prec@top3: 0.8254 recall@top5: 1.0000 prec@top5: 0.5429 loss_action_cls: 0.0372 2023/03/10 23:56:40 - mmengine - INFO - Epoch(train) [9][2220/4451] lr: 2.5886e-06 eta: 9:39:47 time: 0.6988 data_time: 0.1404 memory: 51970 grad_norm: 0.1323 loss: 0.0358 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7486 recall@top3: 0.7257 prec@top3: 0.7222 recall@top5: 0.9000 prec@top5: 0.5750 loss_action_cls: 0.0358 2023/03/10 23:56:53 - mmengine - INFO - Epoch(train) [9][2240/4451] lr: 2.5876e-06 eta: 9:39:33 time: 0.6521 data_time: 0.0923 memory: 51970 grad_norm: 0.1303 loss: 0.0362 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8333 recall@top3: 0.8864 prec@top3: 0.6212 recall@top5: 0.9205 prec@top5: 0.4000 loss_action_cls: 0.0362 2023/03/10 23:57:07 - mmengine - INFO - Epoch(train) [9][2260/4451] lr: 2.5867e-06 eta: 9:39:20 time: 0.7125 data_time: 0.0856 memory: 51970 grad_norm: 0.1336 loss: 0.0384 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7353 recall@top3: 0.8431 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0384 2023/03/10 23:57:20 - mmengine - INFO - Epoch(train) [9][2280/4451] lr: 2.5858e-06 eta: 9:39:06 time: 0.6543 data_time: 0.0131 memory: 51970 grad_norm: 0.1339 loss: 0.0403 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.9074 recall@top3: 0.8889 prec@top3: 0.6481 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0403 2023/03/10 23:57:34 - mmengine - INFO - Epoch(train) [9][2300/4451] lr: 2.5848e-06 eta: 9:38:53 time: 0.6961 data_time: 0.0257 memory: 51970 grad_norm: 0.1386 loss: 0.0361 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8068 recall@top3: 0.8636 prec@top3: 0.5909 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0361 2023/03/10 23:57:47 - mmengine - INFO - Epoch(train) [9][2320/4451] lr: 2.5839e-06 eta: 9:38:38 time: 0.6541 data_time: 0.0535 memory: 51970 grad_norm: 0.1319 loss: 0.0358 recall@thr=0.5: 0.7184 prec@thr=0.5: 0.7040 recall@top3: 0.8276 prec@top3: 0.5977 recall@top5: 0.9080 prec@top5: 0.4069 loss_action_cls: 0.0358 2023/03/10 23:58:00 - mmengine - INFO - Epoch(train) [9][2340/4451] lr: 2.5830e-06 eta: 9:38:23 time: 0.6183 data_time: 0.0128 memory: 51970 grad_norm: 0.1323 loss: 0.0373 recall@thr=0.5: 0.8558 prec@thr=0.5: 0.7821 recall@top3: 0.8462 prec@top3: 0.8462 recall@top5: 0.9615 prec@top5: 0.5846 loss_action_cls: 0.0373 2023/03/10 23:58:12 - mmengine - INFO - Epoch(train) [9][2360/4451] lr: 2.5820e-06 eta: 9:38:08 time: 0.6227 data_time: 0.0557 memory: 51970 grad_norm: 0.1319 loss: 0.0367 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.6410 recall@top3: 0.8718 prec@top3: 0.5641 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0367 2023/03/10 23:58:25 - mmengine - INFO - Epoch(train) [9][2380/4451] lr: 2.5811e-06 eta: 9:37:53 time: 0.6286 data_time: 0.0469 memory: 51970 grad_norm: 0.1369 loss: 0.0344 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8056 recall@top3: 0.9167 prec@top3: 0.6296 recall@top5: 0.9630 prec@top5: 0.4000 loss_action_cls: 0.0344 2023/03/10 23:58:33 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/10 23:58:39 - mmengine - INFO - Epoch(train) [9][2400/4451] lr: 2.5801e-06 eta: 9:37:40 time: 0.6835 data_time: 0.0131 memory: 51970 grad_norm: 0.1352 loss: 0.0373 recall@thr=0.5: 0.6703 prec@thr=0.5: 0.6812 recall@top3: 0.8587 prec@top3: 0.6087 recall@top5: 0.9203 prec@top5: 0.4087 loss_action_cls: 0.0373 2023/03/10 23:58:51 - mmengine - INFO - Epoch(train) [9][2420/4451] lr: 2.5792e-06 eta: 9:37:25 time: 0.6249 data_time: 0.0121 memory: 51970 grad_norm: 0.1341 loss: 0.0400 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7647 recall@top3: 0.8039 prec@top3: 0.5686 recall@top5: 0.8824 prec@top5: 0.3882 loss_action_cls: 0.0400 2023/03/10 23:59:04 - mmengine - INFO - Epoch(train) [9][2440/4451] lr: 2.5782e-06 eta: 9:37:10 time: 0.6289 data_time: 0.1336 memory: 51970 grad_norm: 0.1371 loss: 0.0373 recall@thr=0.5: 0.6980 prec@thr=0.5: 0.8133 recall@top3: 0.7080 prec@top3: 0.6400 recall@top5: 0.9000 prec@top5: 0.5040 loss_action_cls: 0.0373 2023/03/10 23:59:16 - mmengine - INFO - Epoch(train) [9][2460/4451] lr: 2.5773e-06 eta: 9:36:54 time: 0.6046 data_time: 0.0591 memory: 51970 grad_norm: 0.1266 loss: 0.0351 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8241 recall@top3: 0.8009 prec@top3: 0.6111 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0351 2023/03/10 23:59:30 - mmengine - INFO - Epoch(train) [9][2480/4451] lr: 2.5763e-06 eta: 9:36:42 time: 0.7350 data_time: 0.0717 memory: 51970 grad_norm: 0.1374 loss: 0.0389 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.8810 recall@top3: 0.9762 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5048 loss_action_cls: 0.0389 2023/03/10 23:59:44 - mmengine - INFO - Epoch(train) [9][2500/4451] lr: 2.5754e-06 eta: 9:36:28 time: 0.6753 data_time: 0.1483 memory: 51970 grad_norm: 0.1334 loss: 0.0347 recall@thr=0.5: 0.3533 prec@thr=0.5: 0.4867 recall@top3: 0.7733 prec@top3: 0.4533 recall@top5: 0.8133 prec@top5: 0.2800 loss_action_cls: 0.0347 2023/03/10 23:59:56 - mmengine - INFO - Epoch(train) [9][2520/4451] lr: 2.5744e-06 eta: 9:36:13 time: 0.6003 data_time: 0.0952 memory: 51970 grad_norm: 0.1362 loss: 0.0373 recall@thr=0.5: 0.4762 prec@thr=0.5: 0.6508 recall@top3: 0.6349 prec@top3: 0.6032 recall@top5: 0.8175 prec@top5: 0.4571 loss_action_cls: 0.0373 2023/03/11 00:00:08 - mmengine - INFO - Epoch(train) [9][2540/4451] lr: 2.5735e-06 eta: 9:35:57 time: 0.6116 data_time: 0.1030 memory: 51970 grad_norm: 0.1293 loss: 0.0358 recall@thr=0.5: 0.4968 prec@thr=0.5: 0.7841 recall@top3: 0.7198 prec@top3: 0.7302 recall@top5: 0.8460 prec@top5: 0.5333 loss_action_cls: 0.0358 2023/03/11 00:00:23 - mmengine - INFO - Epoch(train) [9][2560/4451] lr: 2.5725e-06 eta: 9:35:45 time: 0.7167 data_time: 0.0589 memory: 51970 grad_norm: 0.1306 loss: 0.0376 recall@thr=0.5: 0.6402 prec@thr=0.5: 0.5909 recall@top3: 0.7856 prec@top3: 0.5758 recall@top5: 0.9250 prec@top5: 0.4364 loss_action_cls: 0.0376 2023/03/11 00:00:37 - mmengine - INFO - Epoch(train) [9][2580/4451] lr: 2.5716e-06 eta: 9:35:32 time: 0.7006 data_time: 0.1088 memory: 51970 grad_norm: 0.1325 loss: 0.0370 recall@thr=0.5: 0.7754 prec@thr=0.5: 0.7391 recall@top3: 0.8696 prec@top3: 0.5362 recall@top5: 0.8913 prec@top5: 0.3304 loss_action_cls: 0.0370 2023/03/11 00:00:51 - mmengine - INFO - Epoch(train) [9][2600/4451] lr: 2.5706e-06 eta: 9:35:19 time: 0.7010 data_time: 0.1132 memory: 51970 grad_norm: 0.1323 loss: 0.0356 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6667 recall@top3: 0.8246 prec@top3: 0.6667 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0356 2023/03/11 00:01:04 - mmengine - INFO - Epoch(train) [9][2620/4451] lr: 2.5697e-06 eta: 9:35:05 time: 0.6718 data_time: 0.0221 memory: 51970 grad_norm: 0.1291 loss: 0.0341 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.8986 recall@top3: 0.9493 prec@top3: 0.7536 recall@top5: 1.0000 prec@top5: 0.4870 loss_action_cls: 0.0341 2023/03/11 00:01:18 - mmengine - INFO - Epoch(train) [9][2640/4451] lr: 2.5687e-06 eta: 9:34:51 time: 0.6761 data_time: 0.0293 memory: 51970 grad_norm: 0.1293 loss: 0.0361 recall@thr=0.5: 0.7013 prec@thr=0.5: 0.7440 recall@top3: 0.7440 prec@top3: 0.7867 recall@top5: 0.9667 prec@top5: 0.6560 loss_action_cls: 0.0361 2023/03/11 00:01:30 - mmengine - INFO - Epoch(train) [9][2660/4451] lr: 2.5678e-06 eta: 9:34:36 time: 0.6345 data_time: 0.0431 memory: 51970 grad_norm: 0.1305 loss: 0.0382 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7083 recall@top3: 0.8611 prec@top3: 0.4861 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0382 2023/03/11 00:01:45 - mmengine - INFO - Epoch(train) [9][2680/4451] lr: 2.5668e-06 eta: 9:34:25 time: 0.7597 data_time: 0.0275 memory: 51970 grad_norm: 0.1261 loss: 0.0341 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8947 recall@top3: 0.8772 prec@top3: 0.6667 recall@top5: 0.9649 prec@top5: 0.4526 loss_action_cls: 0.0341 2023/03/11 00:01:57 - mmengine - INFO - Epoch(train) [9][2700/4451] lr: 2.5659e-06 eta: 9:34:09 time: 0.5955 data_time: 0.0182 memory: 51970 grad_norm: 0.1319 loss: 0.0385 recall@thr=0.5: 0.8088 prec@thr=0.5: 0.7745 recall@top3: 0.8088 prec@top3: 0.5882 recall@top5: 0.8824 prec@top5: 0.4000 loss_action_cls: 0.0385 2023/03/11 00:02:12 - mmengine - INFO - Epoch(train) [9][2720/4451] lr: 2.5649e-06 eta: 9:33:57 time: 0.7486 data_time: 0.0137 memory: 51970 grad_norm: 0.1380 loss: 0.0341 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.8114 recall@top3: 0.9474 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.0341 2023/03/11 00:02:25 - mmengine - INFO - Epoch(train) [9][2740/4451] lr: 2.5639e-06 eta: 9:33:43 time: 0.6473 data_time: 0.0119 memory: 51970 grad_norm: 0.1321 loss: 0.0367 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7833 recall@top3: 0.9333 prec@top3: 0.5333 recall@top5: 0.9667 prec@top5: 0.3400 loss_action_cls: 0.0367 2023/03/11 00:02:38 - mmengine - INFO - Epoch(train) [9][2760/4451] lr: 2.5630e-06 eta: 9:33:28 time: 0.6194 data_time: 0.0126 memory: 51970 grad_norm: 0.1372 loss: 0.0375 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.7667 recall@top3: 0.7889 prec@top3: 0.6444 recall@top5: 0.9556 prec@top5: 0.4667 loss_action_cls: 0.0375 2023/03/11 00:02:51 - mmengine - INFO - Epoch(train) [9][2780/4451] lr: 2.5620e-06 eta: 9:33:13 time: 0.6451 data_time: 0.0138 memory: 51970 grad_norm: 0.1298 loss: 0.0330 recall@thr=0.5: 0.8202 prec@thr=0.5: 0.7982 recall@top3: 0.8684 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0330 2023/03/11 00:03:04 - mmengine - INFO - Epoch(train) [9][2800/4451] lr: 2.5611e-06 eta: 9:32:59 time: 0.6725 data_time: 0.0113 memory: 51970 grad_norm: 0.1285 loss: 0.0347 recall@thr=0.5: 0.8205 prec@thr=0.5: 0.8333 recall@top3: 0.8718 prec@top3: 0.6795 recall@top5: 0.9038 prec@top5: 0.4308 loss_action_cls: 0.0347 2023/03/11 00:03:16 - mmengine - INFO - Epoch(train) [9][2820/4451] lr: 2.5601e-06 eta: 9:32:43 time: 0.5843 data_time: 0.0134 memory: 51970 grad_norm: 0.1313 loss: 0.0366 recall@thr=0.5: 0.6596 prec@thr=0.5: 0.9123 recall@top3: 0.7561 prec@top3: 0.7544 recall@top5: 0.8772 prec@top5: 0.5579 loss_action_cls: 0.0366 2023/03/11 00:03:29 - mmengine - INFO - Epoch(train) [9][2840/4451] lr: 2.5591e-06 eta: 9:32:29 time: 0.6468 data_time: 0.0122 memory: 51970 grad_norm: 0.1340 loss: 0.0421 recall@thr=0.5: 0.7878 prec@thr=0.5: 0.7656 recall@top3: 0.8339 prec@top3: 0.6000 recall@top5: 0.9389 prec@top5: 0.4067 loss_action_cls: 0.0421 2023/03/11 00:03:40 - mmengine - INFO - Epoch(train) [9][2860/4451] lr: 2.5582e-06 eta: 9:32:13 time: 0.5861 data_time: 0.0135 memory: 51970 grad_norm: 0.1318 loss: 0.0371 recall@thr=0.5: 0.6903 prec@thr=0.5: 0.6424 recall@top3: 0.8125 prec@top3: 0.6806 recall@top5: 0.9194 prec@top5: 0.4750 loss_action_cls: 0.0371 2023/03/11 00:03:54 - mmengine - INFO - Epoch(train) [9][2880/4451] lr: 2.5572e-06 eta: 9:31:59 time: 0.6644 data_time: 0.0124 memory: 51970 grad_norm: 0.1347 loss: 0.0362 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.7222 recall@top3: 0.9444 prec@top3: 0.7778 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0362 2023/03/11 00:04:07 - mmengine - INFO - Epoch(train) [9][2900/4451] lr: 2.5562e-06 eta: 9:31:45 time: 0.6494 data_time: 0.0136 memory: 51970 grad_norm: 0.1351 loss: 0.0369 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.7500 recall@top3: 0.7841 prec@top3: 0.5758 recall@top5: 0.9091 prec@top5: 0.4182 loss_action_cls: 0.0369 2023/03/11 00:04:20 - mmengine - INFO - Epoch(train) [9][2920/4451] lr: 2.5553e-06 eta: 9:31:31 time: 0.6845 data_time: 0.0117 memory: 51970 grad_norm: 0.1296 loss: 0.0346 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7222 recall@top3: 0.9167 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4267 loss_action_cls: 0.0346 2023/03/11 00:04:31 - mmengine - INFO - Epoch(train) [9][2940/4451] lr: 2.5543e-06 eta: 9:31:13 time: 0.5236 data_time: 0.0127 memory: 51970 grad_norm: 0.1296 loss: 0.0362 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7812 recall@top3: 0.8542 prec@top3: 0.6875 recall@top5: 0.9271 prec@top5: 0.4500 loss_action_cls: 0.0362 2023/03/11 00:04:45 - mmengine - INFO - Epoch(train) [9][2960/4451] lr: 2.5533e-06 eta: 9:31:01 time: 0.7140 data_time: 0.0128 memory: 51970 grad_norm: 0.1308 loss: 0.0394 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6667 recall@top3: 0.7619 prec@top3: 0.5476 recall@top5: 0.8333 prec@top5: 0.3429 loss_action_cls: 0.0394 2023/03/11 00:04:58 - mmengine - INFO - Epoch(train) [9][2980/4451] lr: 2.5524e-06 eta: 9:30:46 time: 0.6368 data_time: 0.0125 memory: 51970 grad_norm: 0.1342 loss: 0.0320 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8636 recall@top3: 0.9545 prec@top3: 0.7273 recall@top5: 0.9545 prec@top5: 0.4364 loss_action_cls: 0.0320 2023/03/11 00:05:12 - mmengine - INFO - Epoch(train) [9][3000/4451] lr: 2.5514e-06 eta: 9:30:33 time: 0.7032 data_time: 0.0118 memory: 51970 grad_norm: 0.1326 loss: 0.0332 recall@thr=0.5: 0.7121 prec@thr=0.5: 0.8864 recall@top3: 0.8864 prec@top3: 0.6061 recall@top5: 0.9167 prec@top5: 0.3818 loss_action_cls: 0.0332 2023/03/11 00:05:24 - mmengine - INFO - Epoch(train) [9][3020/4451] lr: 2.5504e-06 eta: 9:30:17 time: 0.5992 data_time: 0.0130 memory: 51970 grad_norm: 0.1303 loss: 0.0419 recall@thr=0.5: 0.5020 prec@thr=0.5: 0.6078 recall@top3: 0.7176 prec@top3: 0.6078 recall@top5: 0.8745 prec@top5: 0.4118 loss_action_cls: 0.0419 2023/03/11 00:05:36 - mmengine - INFO - Epoch(train) [9][3040/4451] lr: 2.5494e-06 eta: 9:30:02 time: 0.6151 data_time: 0.0115 memory: 51970 grad_norm: 0.1325 loss: 0.0390 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7167 recall@top3: 0.8000 prec@top3: 0.5111 recall@top5: 0.8667 prec@top5: 0.3600 loss_action_cls: 0.0390 2023/03/11 00:05:50 - mmengine - INFO - Epoch(train) [9][3060/4451] lr: 2.5485e-06 eta: 9:29:48 time: 0.6661 data_time: 0.0141 memory: 51970 grad_norm: 0.1408 loss: 0.0352 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.8261 recall@top3: 0.8478 prec@top3: 0.6957 recall@top5: 0.8696 prec@top5: 0.4348 loss_action_cls: 0.0352 2023/03/11 00:06:02 - mmengine - INFO - Epoch(train) [9][3080/4451] lr: 2.5475e-06 eta: 9:29:33 time: 0.6055 data_time: 0.0122 memory: 51970 grad_norm: 0.1282 loss: 0.0345 recall@thr=0.5: 0.8681 prec@thr=0.5: 0.6917 recall@top3: 0.9097 prec@top3: 0.5417 recall@top5: 0.9236 prec@top5: 0.3333 loss_action_cls: 0.0345 2023/03/11 00:06:17 - mmengine - INFO - Epoch(train) [9][3100/4451] lr: 2.5465e-06 eta: 9:29:21 time: 0.7441 data_time: 0.0468 memory: 51970 grad_norm: 0.1373 loss: 0.0359 recall@thr=0.5: 0.8292 prec@thr=0.5: 0.8092 recall@top3: 0.8292 prec@top3: 0.7500 recall@top5: 0.9750 prec@top5: 0.5400 loss_action_cls: 0.0359 2023/03/11 00:06:29 - mmengine - INFO - Epoch(train) [9][3120/4451] lr: 2.5455e-06 eta: 9:29:05 time: 0.6073 data_time: 0.0135 memory: 51970 grad_norm: 0.1301 loss: 0.0353 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.9524 recall@top3: 0.9643 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0353 2023/03/11 00:06:42 - mmengine - INFO - Epoch(train) [9][3140/4451] lr: 2.5446e-06 eta: 9:28:52 time: 0.6734 data_time: 0.0126 memory: 51970 grad_norm: 0.1307 loss: 0.0364 recall@thr=0.5: 0.6398 prec@thr=0.5: 0.6237 recall@top3: 0.9032 prec@top3: 0.6344 recall@top5: 0.9462 prec@top5: 0.4065 loss_action_cls: 0.0364 2023/03/11 00:06:56 - mmengine - INFO - Epoch(train) [9][3160/4451] lr: 2.5436e-06 eta: 9:28:39 time: 0.7014 data_time: 0.0120 memory: 51970 grad_norm: 0.1317 loss: 0.0339 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.7206 recall@top3: 0.7843 prec@top3: 0.5098 recall@top5: 0.9706 prec@top5: 0.3647 loss_action_cls: 0.0339 2023/03/11 00:07:08 - mmengine - INFO - Epoch(train) [9][3180/4451] lr: 2.5426e-06 eta: 9:28:23 time: 0.5775 data_time: 0.0132 memory: 51970 grad_norm: 0.1314 loss: 0.0454 recall@thr=0.5: 0.7355 prec@thr=0.5: 0.7971 recall@top3: 0.7862 prec@top3: 0.6232 recall@top5: 0.8913 prec@top5: 0.4435 loss_action_cls: 0.0454 2023/03/11 00:07:21 - mmengine - INFO - Epoch(train) [9][3200/4451] lr: 2.5416e-06 eta: 9:28:08 time: 0.6388 data_time: 0.0127 memory: 51970 grad_norm: 0.1340 loss: 0.0349 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7157 recall@top3: 0.7843 prec@top3: 0.5490 recall@top5: 0.9020 prec@top5: 0.4000 loss_action_cls: 0.0349 2023/03/11 00:07:34 - mmengine - INFO - Epoch(train) [9][3220/4451] lr: 2.5406e-06 eta: 9:27:54 time: 0.6693 data_time: 0.0135 memory: 51970 grad_norm: 0.1334 loss: 0.0356 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.5521 recall@top3: 0.6562 prec@top3: 0.6042 recall@top5: 0.9375 prec@top5: 0.5250 loss_action_cls: 0.0356 2023/03/11 00:07:46 - mmengine - INFO - Epoch(train) [9][3240/4451] lr: 2.5397e-06 eta: 9:27:38 time: 0.5855 data_time: 0.0113 memory: 51970 grad_norm: 0.1287 loss: 0.0389 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.7353 recall@top3: 0.9314 prec@top3: 0.6275 recall@top5: 0.9804 prec@top5: 0.4118 loss_action_cls: 0.0389 2023/03/11 00:08:00 - mmengine - INFO - Epoch(train) [9][3260/4451] lr: 2.5387e-06 eta: 9:27:26 time: 0.7178 data_time: 0.0638 memory: 51970 grad_norm: 0.1358 loss: 0.0340 recall@thr=0.5: 0.7232 prec@thr=0.5: 0.8393 recall@top3: 0.8125 prec@top3: 0.7976 recall@top5: 0.9375 prec@top5: 0.5571 loss_action_cls: 0.0340 2023/03/11 00:08:12 - mmengine - INFO - Epoch(train) [9][3280/4451] lr: 2.5377e-06 eta: 9:27:10 time: 0.6223 data_time: 0.0725 memory: 51970 grad_norm: 0.1368 loss: 0.0369 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.7302 recall@top5: 0.9722 prec@top5: 0.5238 loss_action_cls: 0.0369 2023/03/11 00:08:26 - mmengine - INFO - Epoch(train) [9][3300/4451] lr: 2.5367e-06 eta: 9:26:57 time: 0.6744 data_time: 0.0135 memory: 51970 grad_norm: 0.1335 loss: 0.0356 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.6667 recall@top3: 0.7157 prec@top3: 0.5686 recall@top5: 0.8235 prec@top5: 0.3882 loss_action_cls: 0.0356 2023/03/11 00:08:38 - mmengine - INFO - Epoch(train) [9][3320/4451] lr: 2.5357e-06 eta: 9:26:42 time: 0.6190 data_time: 0.0114 memory: 51970 grad_norm: 0.1292 loss: 0.0374 recall@thr=0.5: 0.5093 prec@thr=0.5: 0.6019 recall@top3: 0.8148 prec@top3: 0.6852 recall@top5: 0.9815 prec@top5: 0.5000 loss_action_cls: 0.0374 2023/03/11 00:08:50 - mmengine - INFO - Epoch(train) [9][3340/4451] lr: 2.5347e-06 eta: 9:26:26 time: 0.5899 data_time: 0.0132 memory: 51970 grad_norm: 0.1319 loss: 0.0356 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7647 recall@top3: 0.9216 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0356 2023/03/11 00:09:02 - mmengine - INFO - Epoch(train) [9][3360/4451] lr: 2.5337e-06 eta: 9:26:10 time: 0.6081 data_time: 0.0115 memory: 51970 grad_norm: 0.1296 loss: 0.0365 recall@thr=0.5: 0.8535 prec@thr=0.5: 0.7904 recall@top3: 0.9545 prec@top3: 0.7172 recall@top5: 0.9848 prec@top5: 0.4424 loss_action_cls: 0.0365 2023/03/11 00:09:15 - mmengine - INFO - Epoch(train) [9][3380/4451] lr: 2.5327e-06 eta: 9:25:55 time: 0.6143 data_time: 0.0135 memory: 51970 grad_norm: 0.1347 loss: 0.0378 recall@thr=0.5: 0.5179 prec@thr=0.5: 0.6071 recall@top3: 0.7143 prec@top3: 0.5476 recall@top5: 0.9643 prec@top5: 0.4714 loss_action_cls: 0.0378 2023/03/11 00:09:22 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 00:09:28 - mmengine - INFO - Epoch(train) [9][3400/4451] lr: 2.5318e-06 eta: 9:25:41 time: 0.6595 data_time: 0.0121 memory: 51970 grad_norm: 0.1288 loss: 0.0375 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7609 recall@top3: 0.8225 prec@top3: 0.6522 recall@top5: 0.8913 prec@top5: 0.4261 loss_action_cls: 0.0375 2023/03/11 00:09:41 - mmengine - INFO - Epoch(train) [9][3420/4451] lr: 2.5308e-06 eta: 9:25:27 time: 0.6589 data_time: 0.0193 memory: 51970 grad_norm: 0.1328 loss: 0.0363 recall@thr=0.5: 0.7276 prec@thr=0.5: 0.8301 recall@top3: 0.8686 prec@top3: 0.7179 recall@top5: 0.9551 prec@top5: 0.4923 loss_action_cls: 0.0363 2023/03/11 00:09:54 - mmengine - INFO - Epoch(train) [9][3440/4451] lr: 2.5298e-06 eta: 9:25:13 time: 0.6648 data_time: 0.0115 memory: 51970 grad_norm: 0.1311 loss: 0.0364 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7000 recall@top3: 0.8333 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0364 2023/03/11 00:10:08 - mmengine - INFO - Epoch(train) [9][3460/4451] lr: 2.5288e-06 eta: 9:25:00 time: 0.6840 data_time: 0.0131 memory: 51970 grad_norm: 0.1322 loss: 0.0362 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8601 recall@top3: 0.9226 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0362 2023/03/11 00:10:19 - mmengine - INFO - Epoch(train) [9][3480/4451] lr: 2.5278e-06 eta: 9:24:43 time: 0.5599 data_time: 0.0113 memory: 51970 grad_norm: 0.1315 loss: 0.0339 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6667 recall@top3: 0.8333 prec@top3: 0.6349 recall@top5: 0.9603 prec@top5: 0.4381 loss_action_cls: 0.0339 2023/03/11 00:10:34 - mmengine - INFO - Epoch(train) [9][3500/4451] lr: 2.5268e-06 eta: 9:24:31 time: 0.7191 data_time: 0.0911 memory: 51970 grad_norm: 0.1347 loss: 0.0379 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7451 recall@top3: 0.6324 prec@top3: 0.6471 recall@top5: 0.7647 prec@top5: 0.4706 loss_action_cls: 0.0379 2023/03/11 00:10:46 - mmengine - INFO - Epoch(train) [9][3520/4451] lr: 2.5258e-06 eta: 9:24:16 time: 0.6377 data_time: 0.0110 memory: 51970 grad_norm: 0.1295 loss: 0.0357 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8796 recall@top3: 0.9491 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0357 2023/03/11 00:11:00 - mmengine - INFO - Epoch(train) [9][3540/4451] lr: 2.5248e-06 eta: 9:24:02 time: 0.6625 data_time: 0.0128 memory: 51970 grad_norm: 0.1383 loss: 0.0368 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.7160 recall@top3: 0.8067 prec@top3: 0.6133 recall@top5: 0.8667 prec@top5: 0.4080 loss_action_cls: 0.0368 2023/03/11 00:11:11 - mmengine - INFO - Epoch(train) [9][3560/4451] lr: 2.5238e-06 eta: 9:23:46 time: 0.5738 data_time: 0.0123 memory: 51970 grad_norm: 0.1295 loss: 0.0371 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7353 recall@top3: 0.6912 prec@top3: 0.6078 recall@top5: 0.8824 prec@top5: 0.4706 loss_action_cls: 0.0371 2023/03/11 00:11:24 - mmengine - INFO - Epoch(train) [9][3580/4451] lr: 2.5228e-06 eta: 9:23:31 time: 0.6470 data_time: 0.0159 memory: 51970 grad_norm: 0.1376 loss: 0.0384 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.5714 recall@top3: 0.6349 prec@top3: 0.5873 recall@top5: 0.8810 prec@top5: 0.4762 loss_action_cls: 0.0384 2023/03/11 00:11:37 - mmengine - INFO - Epoch(train) [9][3600/4451] lr: 2.5218e-06 eta: 9:23:17 time: 0.6340 data_time: 0.0322 memory: 51970 grad_norm: 0.1338 loss: 0.0362 recall@thr=0.5: 0.8280 prec@thr=0.5: 0.8244 recall@top3: 0.8518 prec@top3: 0.7976 recall@top5: 0.9661 prec@top5: 0.5500 loss_action_cls: 0.0362 2023/03/11 00:11:49 - mmengine - INFO - Epoch(train) [9][3620/4451] lr: 2.5208e-06 eta: 9:23:01 time: 0.6100 data_time: 0.0132 memory: 51970 grad_norm: 0.1359 loss: 0.0345 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8968 recall@top3: 0.8571 prec@top3: 0.7619 recall@top5: 0.9841 prec@top5: 0.5143 loss_action_cls: 0.0345 2023/03/11 00:12:01 - mmengine - INFO - Epoch(train) [9][3640/4451] lr: 2.5198e-06 eta: 9:22:46 time: 0.6250 data_time: 0.0134 memory: 51970 grad_norm: 0.1321 loss: 0.0344 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6867 recall@top3: 0.8833 prec@top3: 0.7067 recall@top5: 0.9600 prec@top5: 0.4720 loss_action_cls: 0.0344 2023/03/11 00:12:15 - mmengine - INFO - Epoch(train) [9][3660/4451] lr: 2.5188e-06 eta: 9:22:33 time: 0.6994 data_time: 0.0135 memory: 51970 grad_norm: 0.1377 loss: 0.0364 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.6939 recall@top3: 0.7614 prec@top3: 0.7121 recall@top5: 0.9242 prec@top5: 0.5182 loss_action_cls: 0.0364 2023/03/11 00:12:29 - mmengine - INFO - Epoch(train) [9][3680/4451] lr: 2.5178e-06 eta: 9:22:19 time: 0.6640 data_time: 0.0134 memory: 51970 grad_norm: 0.1353 loss: 0.0345 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.8095 recall@top3: 0.8135 prec@top3: 0.6825 recall@top5: 0.9286 prec@top5: 0.4952 loss_action_cls: 0.0345 2023/03/11 00:12:41 - mmengine - INFO - Epoch(train) [9][3700/4451] lr: 2.5168e-06 eta: 9:22:04 time: 0.6142 data_time: 0.0120 memory: 51970 grad_norm: 0.1288 loss: 0.0341 recall@thr=0.5: 0.9365 prec@thr=0.5: 0.9603 recall@top3: 0.8333 prec@top3: 0.7937 recall@top5: 1.0000 prec@top5: 0.6190 loss_action_cls: 0.0341 2023/03/11 00:12:54 - mmengine - INFO - Epoch(train) [9][3720/4451] lr: 2.5158e-06 eta: 9:21:50 time: 0.6321 data_time: 0.0128 memory: 51970 grad_norm: 0.1271 loss: 0.0380 recall@thr=0.5: 0.6855 prec@thr=0.5: 0.7391 recall@top3: 0.8130 prec@top3: 0.7246 recall@top5: 0.9565 prec@top5: 0.5391 loss_action_cls: 0.0380 2023/03/11 00:13:07 - mmengine - INFO - Epoch(train) [9][3740/4451] lr: 2.5148e-06 eta: 9:21:35 time: 0.6610 data_time: 0.0126 memory: 51970 grad_norm: 0.1312 loss: 0.0364 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8036 prec@top3: 0.5714 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0364 2023/03/11 00:13:20 - mmengine - INFO - Epoch(train) [9][3760/4451] lr: 2.5138e-06 eta: 9:21:21 time: 0.6532 data_time: 0.0136 memory: 51970 grad_norm: 0.1321 loss: 0.0369 recall@thr=0.5: 0.8661 prec@thr=0.5: 0.8869 recall@top3: 0.9256 prec@top3: 0.7262 recall@top5: 0.9702 prec@top5: 0.4643 loss_action_cls: 0.0369 2023/03/11 00:13:32 - mmengine - INFO - Epoch(train) [9][3780/4451] lr: 2.5128e-06 eta: 9:21:06 time: 0.5909 data_time: 0.0127 memory: 51970 grad_norm: 0.1323 loss: 0.0399 recall@thr=0.5: 0.7951 prec@thr=0.5: 0.8039 recall@top3: 0.8490 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.5176 loss_action_cls: 0.0399 2023/03/11 00:13:45 - mmengine - INFO - Epoch(train) [9][3800/4451] lr: 2.5118e-06 eta: 9:20:51 time: 0.6438 data_time: 0.0125 memory: 51970 grad_norm: 0.1236 loss: 0.0334 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.9444 recall@top3: 0.9444 prec@top3: 0.5556 recall@top5: 0.9722 prec@top5: 0.3556 loss_action_cls: 0.0334 2023/03/11 00:13:58 - mmengine - INFO - Epoch(train) [9][3820/4451] lr: 2.5107e-06 eta: 9:20:37 time: 0.6544 data_time: 0.0135 memory: 51970 grad_norm: 0.1405 loss: 0.0401 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8254 recall@top3: 0.8016 prec@top3: 0.5556 recall@top5: 0.8571 prec@top5: 0.3619 loss_action_cls: 0.0401 2023/03/11 00:14:11 - mmengine - INFO - Epoch(train) [9][3840/4451] lr: 2.5097e-06 eta: 9:20:23 time: 0.6634 data_time: 0.0116 memory: 51970 grad_norm: 0.1305 loss: 0.0361 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.7440 recall@top3: 0.8155 prec@top3: 0.5476 recall@top5: 0.9226 prec@top5: 0.3929 loss_action_cls: 0.0361 2023/03/11 00:14:23 - mmengine - INFO - Epoch(train) [9][3860/4451] lr: 2.5087e-06 eta: 9:20:07 time: 0.5858 data_time: 0.0128 memory: 51970 grad_norm: 0.1348 loss: 0.0375 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.7130 recall@top3: 0.8287 prec@top3: 0.7222 recall@top5: 0.9352 prec@top5: 0.5000 loss_action_cls: 0.0375 2023/03/11 00:14:38 - mmengine - INFO - Epoch(train) [9][3880/4451] lr: 2.5077e-06 eta: 9:19:56 time: 0.7724 data_time: 0.0127 memory: 51970 grad_norm: 0.1371 loss: 0.0314 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8000 recall@top3: 0.8556 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.3600 loss_action_cls: 0.0314 2023/03/11 00:14:49 - mmengine - INFO - Epoch(train) [9][3900/4451] lr: 2.5067e-06 eta: 9:19:40 time: 0.5675 data_time: 0.0159 memory: 51970 grad_norm: 0.1286 loss: 0.0376 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5833 recall@top3: 0.8704 prec@top3: 0.5556 recall@top5: 0.8704 prec@top5: 0.3333 loss_action_cls: 0.0376 2023/03/11 00:15:04 - mmengine - INFO - Epoch(train) [9][3920/4451] lr: 2.5057e-06 eta: 9:19:27 time: 0.7368 data_time: 0.0134 memory: 51970 grad_norm: 0.1340 loss: 0.0346 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.7609 recall@top3: 0.8841 prec@top3: 0.5652 recall@top5: 0.9710 prec@top5: 0.3826 loss_action_cls: 0.0346 2023/03/11 00:15:15 - mmengine - INFO - Epoch(train) [9][3940/4451] lr: 2.5047e-06 eta: 9:19:11 time: 0.5580 data_time: 0.0123 memory: 51970 grad_norm: 0.1367 loss: 0.0383 recall@thr=0.5: 0.7213 prec@thr=0.5: 0.8276 recall@top3: 0.8649 prec@top3: 0.7586 recall@top5: 0.9454 prec@top5: 0.5103 loss_action_cls: 0.0383 2023/03/11 00:15:31 - mmengine - INFO - Epoch(train) [9][3960/4451] lr: 2.5037e-06 eta: 9:18:59 time: 0.7624 data_time: 0.0126 memory: 51970 grad_norm: 0.1313 loss: 0.0369 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8480 recall@top3: 0.8824 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0369 2023/03/11 00:15:43 - mmengine - INFO - Epoch(train) [9][3980/4451] lr: 2.5026e-06 eta: 9:18:44 time: 0.5987 data_time: 0.0125 memory: 51970 grad_norm: 0.1392 loss: 0.0410 recall@thr=0.5: 0.8403 prec@thr=0.5: 0.7882 recall@top3: 0.9444 prec@top3: 0.6528 recall@top5: 0.9896 prec@top5: 0.4250 loss_action_cls: 0.0410 2023/03/11 00:15:57 - mmengine - INFO - Epoch(train) [9][4000/4451] lr: 2.5016e-06 eta: 9:18:32 time: 0.7393 data_time: 0.0128 memory: 51970 grad_norm: 0.1370 loss: 0.0370 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6000 recall@top3: 0.8250 prec@top3: 0.5833 recall@top5: 0.9000 prec@top5: 0.3800 loss_action_cls: 0.0370 2023/03/11 00:16:09 - mmengine - INFO - Epoch(train) [9][4020/4451] lr: 2.5006e-06 eta: 9:18:16 time: 0.5910 data_time: 0.0122 memory: 51970 grad_norm: 0.1277 loss: 0.0303 recall@thr=0.5: 0.7865 prec@thr=0.5: 0.9062 recall@top3: 0.8594 prec@top3: 0.7292 recall@top5: 0.8750 prec@top5: 0.4500 loss_action_cls: 0.0303 2023/03/11 00:16:24 - mmengine - INFO - Epoch(train) [9][4040/4451] lr: 2.4996e-06 eta: 9:18:04 time: 0.7278 data_time: 0.0125 memory: 51970 grad_norm: 0.1287 loss: 0.0368 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.8222 recall@top3: 0.7421 prec@top3: 0.7302 recall@top5: 0.9048 prec@top5: 0.5333 loss_action_cls: 0.0368 2023/03/11 00:16:36 - mmengine - INFO - Epoch(train) [9][4060/4451] lr: 2.4986e-06 eta: 9:17:48 time: 0.6009 data_time: 0.0126 memory: 51970 grad_norm: 0.1305 loss: 0.0358 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.6667 recall@top3: 0.8458 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4400 loss_action_cls: 0.0358 2023/03/11 00:16:49 - mmengine - INFO - Epoch(train) [9][4080/4451] lr: 2.4975e-06 eta: 9:17:35 time: 0.6802 data_time: 0.0131 memory: 51970 grad_norm: 0.1371 loss: 0.0336 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.9444 recall@top3: 0.9491 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0336 2023/03/11 00:17:03 - mmengine - INFO - Epoch(train) [9][4100/4451] lr: 2.4965e-06 eta: 9:17:21 time: 0.6586 data_time: 0.0121 memory: 51970 grad_norm: 0.1294 loss: 0.0302 recall@thr=0.5: 0.6792 prec@thr=0.5: 0.8500 recall@top3: 0.9875 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0302 2023/03/11 00:17:16 - mmengine - INFO - Epoch(train) [9][4120/4451] lr: 2.4955e-06 eta: 9:17:08 time: 0.6978 data_time: 0.0125 memory: 51970 grad_norm: 0.1291 loss: 0.0336 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.8409 recall@top3: 0.8826 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.5273 loss_action_cls: 0.0336 2023/03/11 00:17:28 - mmengine - INFO - Epoch(train) [9][4140/4451] lr: 2.4945e-06 eta: 9:16:52 time: 0.5894 data_time: 0.0147 memory: 51970 grad_norm: 0.1358 loss: 0.0350 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7743 recall@top3: 0.7639 prec@top3: 0.6944 recall@top5: 0.8333 prec@top5: 0.4667 loss_action_cls: 0.0350 2023/03/11 00:17:42 - mmengine - INFO - Epoch(train) [9][4160/4451] lr: 2.4934e-06 eta: 9:16:39 time: 0.6906 data_time: 0.0130 memory: 51970 grad_norm: 0.1398 loss: 0.0338 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8317 recall@top3: 0.8042 prec@top3: 0.6167 recall@top5: 0.9833 prec@top5: 0.4700 loss_action_cls: 0.0338 2023/03/11 00:17:55 - mmengine - INFO - Epoch(train) [9][4180/4451] lr: 2.4924e-06 eta: 9:16:24 time: 0.6269 data_time: 0.0147 memory: 51970 grad_norm: 0.1305 loss: 0.0385 recall@thr=0.5: 0.8271 prec@thr=0.5: 0.8698 recall@top3: 0.8687 prec@top3: 0.7292 recall@top5: 0.9438 prec@top5: 0.4875 loss_action_cls: 0.0385 2023/03/11 00:18:07 - mmengine - INFO - Epoch(train) [9][4200/4451] lr: 2.4914e-06 eta: 9:16:09 time: 0.6357 data_time: 0.0122 memory: 51970 grad_norm: 0.1291 loss: 0.0364 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.6905 recall@top3: 0.6865 prec@top3: 0.6032 recall@top5: 0.8889 prec@top5: 0.4381 loss_action_cls: 0.0364 2023/03/11 00:18:19 - mmengine - INFO - Epoch(train) [9][4220/4451] lr: 2.4904e-06 eta: 9:15:54 time: 0.5983 data_time: 0.0133 memory: 51970 grad_norm: 0.1319 loss: 0.0388 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7121 recall@top3: 0.7652 prec@top3: 0.6212 recall@top5: 0.8712 prec@top5: 0.4000 loss_action_cls: 0.0388 2023/03/11 00:18:34 - mmengine - INFO - Epoch(train) [9][4240/4451] lr: 2.4893e-06 eta: 9:15:42 time: 0.7455 data_time: 0.0134 memory: 51970 grad_norm: 0.1309 loss: 0.0390 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8386 recall@top3: 0.8158 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4526 loss_action_cls: 0.0390 2023/03/11 00:18:47 - mmengine - INFO - Epoch(train) [9][4260/4451] lr: 2.4883e-06 eta: 9:15:27 time: 0.6163 data_time: 0.0120 memory: 51970 grad_norm: 0.1307 loss: 0.0360 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.7019 recall@top3: 0.7628 prec@top3: 0.6667 recall@top5: 0.8782 prec@top5: 0.4538 loss_action_cls: 0.0360 2023/03/11 00:19:01 - mmengine - INFO - Epoch(train) [9][4280/4451] lr: 2.4873e-06 eta: 9:15:14 time: 0.7022 data_time: 0.0141 memory: 51970 grad_norm: 0.1310 loss: 0.0391 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.8623 recall@top3: 0.8558 prec@top3: 0.7536 recall@top5: 0.9696 prec@top5: 0.5304 loss_action_cls: 0.0391 2023/03/11 00:19:12 - mmengine - INFO - Epoch(train) [9][4300/4451] lr: 2.4862e-06 eta: 9:14:58 time: 0.5941 data_time: 0.0125 memory: 51970 grad_norm: 0.1378 loss: 0.0303 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8000 recall@top3: 0.8889 prec@top3: 0.7778 recall@top5: 0.9667 prec@top5: 0.5200 loss_action_cls: 0.0303 2023/03/11 00:19:28 - mmengine - INFO - Epoch(train) [9][4320/4451] lr: 2.4852e-06 eta: 9:14:46 time: 0.7517 data_time: 0.0145 memory: 51970 grad_norm: 0.1314 loss: 0.0382 recall@thr=0.5: 0.6203 prec@thr=0.5: 0.7464 recall@top3: 0.8130 prec@top3: 0.6812 recall@top5: 0.9203 prec@top5: 0.4870 loss_action_cls: 0.0382 2023/03/11 00:19:38 - mmengine - INFO - Epoch(train) [9][4340/4451] lr: 2.4842e-06 eta: 9:14:29 time: 0.5161 data_time: 0.0120 memory: 51970 grad_norm: 0.1298 loss: 0.0388 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.5926 recall@top3: 0.6636 prec@top3: 0.5802 recall@top5: 0.8735 prec@top5: 0.4815 loss_action_cls: 0.0388 2023/03/11 00:19:51 - mmengine - INFO - Epoch(train) [9][4360/4451] lr: 2.4831e-06 eta: 9:14:14 time: 0.6341 data_time: 0.0132 memory: 51970 grad_norm: 0.1307 loss: 0.0353 recall@thr=0.5: 0.7573 prec@thr=0.5: 0.7867 recall@top3: 0.8307 prec@top3: 0.8133 recall@top5: 0.9740 prec@top5: 0.6080 loss_action_cls: 0.0353 2023/03/11 00:20:04 - mmengine - INFO - Epoch(train) [9][4380/4451] lr: 2.4821e-06 eta: 9:14:00 time: 0.6682 data_time: 0.0133 memory: 51970 grad_norm: 0.1325 loss: 0.0378 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8421 recall@top3: 0.9649 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0378 2023/03/11 00:20:11 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 00:20:16 - mmengine - INFO - Epoch(train) [9][4400/4451] lr: 2.4811e-06 eta: 9:13:45 time: 0.6197 data_time: 0.0136 memory: 51970 grad_norm: 0.1390 loss: 0.0366 recall@thr=0.5: 0.8867 prec@thr=0.5: 0.8640 recall@top3: 0.9433 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0366 2023/03/11 00:20:30 - mmengine - INFO - Epoch(train) [9][4420/4451] lr: 2.4800e-06 eta: 9:13:32 time: 0.6906 data_time: 0.0124 memory: 51970 grad_norm: 0.1271 loss: 0.0340 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.7647 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 0.9314 prec@top5: 0.4235 loss_action_cls: 0.0340 2023/03/11 00:20:42 - mmengine - INFO - Epoch(train) [9][4440/4451] lr: 2.4790e-06 eta: 9:13:17 time: 0.6065 data_time: 0.0133 memory: 51970 grad_norm: 0.1382 loss: 0.0397 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7353 recall@top3: 0.8431 prec@top3: 0.5490 recall@top5: 0.8922 prec@top5: 0.3529 loss_action_cls: 0.0397 2023/03/11 00:20:47 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 00:20:47 - mmengine - INFO - Epoch(train) [9][4451/4451] lr: 2.4784e-06 eta: 9:13:06 time: 0.5271 data_time: 0.0114 memory: 51970 grad_norm: 0.1372 loss: 0.0385 recall@thr=0.5: 0.6690 prec@thr=0.5: 0.8810 recall@top3: 0.7226 prec@top3: 0.7857 recall@top5: 0.8762 prec@top5: 0.5714 loss_action_cls: 0.0385 2023/03/11 00:20:47 - mmengine - INFO - Saving checkpoint at 9 epochs 2023/03/11 00:20:54 - mmengine - INFO - Epoch(val) [9][ 20/6282] eta: 0:08:25 time: 0.0808 data_time: 0.0347 memory: 2331 2023/03/11 00:20:55 - mmengine - INFO - Epoch(val) [9][ 40/6282] eta: 0:07:14 time: 0.0585 data_time: 0.0157 memory: 2331 2023/03/11 00:20:56 - mmengine - INFO - Epoch(val) [9][ 60/6282] eta: 0:06:55 time: 0.0611 data_time: 0.0182 memory: 2331 2023/03/11 00:20:57 - mmengine - INFO - Epoch(val) [9][ 80/6282] eta: 0:06:35 time: 0.0546 data_time: 0.0104 memory: 2331 2023/03/11 00:20:59 - mmengine - INFO - Epoch(val) [9][ 100/6282] eta: 0:06:47 time: 0.0747 data_time: 0.0319 memory: 2331 2023/03/11 00:21:00 - mmengine - INFO - Epoch(val) [9][ 120/6282] eta: 0:06:45 time: 0.0654 data_time: 0.0103 memory: 2934 2023/03/11 00:21:01 - mmengine - INFO - Epoch(val) [9][ 140/6282] eta: 0:06:41 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/11 00:21:03 - mmengine - INFO - Epoch(val) [9][ 160/6282] eta: 0:06:37 time: 0.0625 data_time: 0.0019 memory: 2934 2023/03/11 00:21:04 - mmengine - INFO - Epoch(val) [9][ 180/6282] eta: 0:06:34 time: 0.0622 data_time: 0.0025 memory: 2934 2023/03/11 00:21:05 - mmengine - INFO - Epoch(val) [9][ 200/6282] eta: 0:06:31 time: 0.0616 data_time: 0.0028 memory: 2934 2023/03/11 00:21:06 - mmengine - INFO - Epoch(val) [9][ 220/6282] eta: 0:06:21 time: 0.0491 data_time: 0.0026 memory: 2396 2023/03/11 00:21:07 - mmengine - INFO - Epoch(val) [9][ 240/6282] eta: 0:06:13 time: 0.0494 data_time: 0.0021 memory: 2396 2023/03/11 00:21:08 - mmengine - INFO - Epoch(val) [9][ 260/6282] eta: 0:06:07 time: 0.0504 data_time: 0.0028 memory: 2396 2023/03/11 00:21:09 - mmengine - INFO - Epoch(val) [9][ 280/6282] eta: 0:06:01 time: 0.0504 data_time: 0.0026 memory: 2396 2023/03/11 00:21:10 - mmengine - INFO - Epoch(val) [9][ 300/6282] eta: 0:06:01 time: 0.0648 data_time: 0.0096 memory: 2934 2023/03/11 00:21:12 - mmengine - INFO - Epoch(val) [9][ 320/6282] eta: 0:06:02 time: 0.0641 data_time: 0.0022 memory: 2934 2023/03/11 00:21:13 - mmengine - INFO - Epoch(val) [9][ 340/6282] eta: 0:06:02 time: 0.0654 data_time: 0.0039 memory: 2934 2023/03/11 00:21:14 - mmengine - INFO - Epoch(val) [9][ 360/6282] eta: 0:06:04 time: 0.0711 data_time: 0.0103 memory: 2934 2023/03/11 00:21:16 - mmengine - INFO - Epoch(val) [9][ 380/6282] eta: 0:06:06 time: 0.0721 data_time: 0.0124 memory: 2934 2023/03/11 00:21:17 - mmengine - INFO - Epoch(val) [9][ 400/6282] eta: 0:06:05 time: 0.0614 data_time: 0.0051 memory: 2934 2023/03/11 00:21:19 - mmengine - INFO - Epoch(val) [9][ 420/6282] eta: 0:06:07 time: 0.0734 data_time: 0.0284 memory: 2397 2023/03/11 00:21:20 - mmengine - INFO - Epoch(val) [9][ 440/6282] eta: 0:06:05 time: 0.0603 data_time: 0.0124 memory: 2397 2023/03/11 00:21:21 - mmengine - INFO - Epoch(val) [9][ 460/6282] eta: 0:06:04 time: 0.0641 data_time: 0.0184 memory: 2397 2023/03/11 00:21:22 - mmengine - INFO - Epoch(val) [9][ 480/6282] eta: 0:06:02 time: 0.0615 data_time: 0.0121 memory: 2397 2023/03/11 00:21:24 - mmengine - INFO - Epoch(val) [9][ 500/6282] eta: 0:06:01 time: 0.0632 data_time: 0.0177 memory: 2397 2023/03/11 00:21:25 - mmengine - INFO - Epoch(val) [9][ 520/6282] eta: 0:05:59 time: 0.0587 data_time: 0.0118 memory: 2396 2023/03/11 00:21:26 - mmengine - INFO - Epoch(val) [9][ 540/6282] eta: 0:05:59 time: 0.0667 data_time: 0.0203 memory: 2396 2023/03/11 00:21:27 - mmengine - INFO - Epoch(val) [9][ 560/6282] eta: 0:05:56 time: 0.0574 data_time: 0.0125 memory: 2396 2023/03/11 00:21:29 - mmengine - INFO - Epoch(val) [9][ 580/6282] eta: 0:05:56 time: 0.0660 data_time: 0.0162 memory: 2396 2023/03/11 00:21:30 - mmengine - INFO - Epoch(val) [9][ 600/6282] eta: 0:05:55 time: 0.0634 data_time: 0.0180 memory: 2396 2023/03/11 00:21:31 - mmengine - INFO - Epoch(val) [9][ 620/6282] eta: 0:05:53 time: 0.0565 data_time: 0.0108 memory: 2396 2023/03/11 00:21:32 - mmengine - INFO - Epoch(val) [9][ 640/6282] eta: 0:05:49 time: 0.0486 data_time: 0.0031 memory: 2332 2023/03/11 00:21:33 - mmengine - INFO - Epoch(val) [9][ 660/6282] eta: 0:05:45 time: 0.0492 data_time: 0.0042 memory: 2332 2023/03/11 00:21:34 - mmengine - INFO - Epoch(val) [9][ 680/6282] eta: 0:05:42 time: 0.0471 data_time: 0.0029 memory: 2332 2023/03/11 00:21:35 - mmengine - INFO - Epoch(val) [9][ 700/6282] eta: 0:05:38 time: 0.0478 data_time: 0.0029 memory: 2332 2023/03/11 00:21:36 - mmengine - INFO - Epoch(val) [9][ 720/6282] eta: 0:05:40 time: 0.0760 data_time: 0.0180 memory: 2934 2023/03/11 00:21:39 - mmengine - INFO - Epoch(val) [9][ 740/6282] eta: 0:05:46 time: 0.1131 data_time: 0.0504 memory: 2934 2023/03/11 00:21:40 - mmengine - INFO - Epoch(val) [9][ 760/6282] eta: 0:05:49 time: 0.0902 data_time: 0.0285 memory: 2934 2023/03/11 00:21:42 - mmengine - INFO - Epoch(val) [9][ 780/6282] eta: 0:05:52 time: 0.0970 data_time: 0.0356 memory: 2934 2023/03/11 00:21:44 - mmengine - INFO - Epoch(val) [9][ 800/6282] eta: 0:05:54 time: 0.0834 data_time: 0.0221 memory: 2934 2023/03/11 00:21:46 - mmengine - INFO - Epoch(val) [9][ 820/6282] eta: 0:05:53 time: 0.0708 data_time: 0.0172 memory: 2934 2023/03/11 00:21:47 - mmengine - INFO - Epoch(val) [9][ 840/6282] eta: 0:05:51 time: 0.0551 data_time: 0.0092 memory: 2396 2023/03/11 00:21:48 - mmengine - INFO - Epoch(val) [9][ 860/6282] eta: 0:05:49 time: 0.0625 data_time: 0.0170 memory: 2396 2023/03/11 00:21:49 - mmengine - INFO - Epoch(val) [9][ 880/6282] eta: 0:05:48 time: 0.0610 data_time: 0.0120 memory: 2396 2023/03/11 00:21:50 - mmengine - INFO - Epoch(val) [9][ 900/6282] eta: 0:05:46 time: 0.0622 data_time: 0.0165 memory: 2396 2023/03/11 00:21:51 - mmengine - INFO - Epoch(val) [9][ 920/6282] eta: 0:05:44 time: 0.0554 data_time: 0.0088 memory: 2396 2023/03/11 00:21:53 - mmengine - INFO - Epoch(val) [9][ 940/6282] eta: 0:05:42 time: 0.0620 data_time: 0.0192 memory: 2331 2023/03/11 00:21:54 - mmengine - INFO - Epoch(val) [9][ 960/6282] eta: 0:05:40 time: 0.0534 data_time: 0.0106 memory: 2331 2023/03/11 00:21:55 - mmengine - INFO - Epoch(val) [9][ 980/6282] eta: 0:05:38 time: 0.0637 data_time: 0.0209 memory: 2331 2023/03/11 00:21:56 - mmengine - INFO - Epoch(val) [9][1000/6282] eta: 0:05:36 time: 0.0587 data_time: 0.0107 memory: 2331 2023/03/11 00:21:59 - mmengine - INFO - Epoch(val) [9][1020/6282] eta: 0:05:42 time: 0.1311 data_time: 0.0882 memory: 2396 2023/03/11 00:22:00 - mmengine - INFO - Epoch(val) [9][1040/6282] eta: 0:05:40 time: 0.0575 data_time: 0.0125 memory: 2396 2023/03/11 00:22:01 - mmengine - INFO - Epoch(val) [9][1060/6282] eta: 0:05:39 time: 0.0635 data_time: 0.0185 memory: 2396 2023/03/11 00:22:02 - mmengine - INFO - Epoch(val) [9][1080/6282] eta: 0:05:37 time: 0.0572 data_time: 0.0105 memory: 2396 2023/03/11 00:22:04 - mmengine - INFO - Epoch(val) [9][1100/6282] eta: 0:05:35 time: 0.0641 data_time: 0.0176 memory: 2396 2023/03/11 00:22:05 - mmengine - INFO - Epoch(val) [9][1120/6282] eta: 0:05:33 time: 0.0592 data_time: 0.0125 memory: 2396 2023/03/11 00:22:06 - mmengine - INFO - Epoch(val) [9][1140/6282] eta: 0:05:32 time: 0.0592 data_time: 0.0128 memory: 2396 2023/03/11 00:22:07 - mmengine - INFO - Epoch(val) [9][1160/6282] eta: 0:05:29 time: 0.0500 data_time: 0.0030 memory: 2396 2023/03/11 00:22:08 - mmengine - INFO - Epoch(val) [9][1180/6282] eta: 0:05:27 time: 0.0503 data_time: 0.0026 memory: 2396 2023/03/11 00:22:09 - mmengine - INFO - Epoch(val) [9][1200/6282] eta: 0:05:24 time: 0.0514 data_time: 0.0032 memory: 2396 2023/03/11 00:22:10 - mmengine - INFO - Epoch(val) [9][1220/6282] eta: 0:05:22 time: 0.0507 data_time: 0.0037 memory: 2396 2023/03/11 00:22:12 - mmengine - INFO - Epoch(val) [9][1240/6282] eta: 0:05:23 time: 0.0885 data_time: 0.0268 memory: 2934 2023/03/11 00:22:14 - mmengine - INFO - Epoch(val) [9][1260/6282] eta: 0:05:24 time: 0.0943 data_time: 0.0306 memory: 2934 2023/03/11 00:22:16 - mmengine - INFO - Epoch(val) [9][1280/6282] eta: 0:05:26 time: 0.1057 data_time: 0.0439 memory: 2934 2023/03/11 00:22:18 - mmengine - INFO - Epoch(val) [9][1300/6282] eta: 0:05:26 time: 0.0921 data_time: 0.0298 memory: 2934 2023/03/11 00:22:20 - mmengine - INFO - Epoch(val) [9][1320/6282] eta: 0:05:29 time: 0.1117 data_time: 0.0497 memory: 2934 2023/03/11 00:22:22 - mmengine - INFO - Epoch(val) [9][1340/6282] eta: 0:05:29 time: 0.0872 data_time: 0.0256 memory: 2934 2023/03/11 00:22:24 - mmengine - INFO - Epoch(val) [9][1360/6282] eta: 0:05:30 time: 0.0992 data_time: 0.0368 memory: 2934 2023/03/11 00:22:26 - mmengine - INFO - Epoch(val) [9][1380/6282] eta: 0:05:30 time: 0.0860 data_time: 0.0230 memory: 2934 2023/03/11 00:22:27 - mmengine - INFO - Epoch(val) [9][1400/6282] eta: 0:05:30 time: 0.0867 data_time: 0.0266 memory: 2934 2023/03/11 00:22:29 - mmengine - INFO - Epoch(val) [9][1420/6282] eta: 0:05:30 time: 0.0858 data_time: 0.0219 memory: 2934 2023/03/11 00:22:31 - mmengine - INFO - Epoch(val) [9][1440/6282] eta: 0:05:29 time: 0.0738 data_time: 0.0128 memory: 2934 2023/03/11 00:22:32 - mmengine - INFO - Epoch(val) [9][1460/6282] eta: 0:05:27 time: 0.0638 data_time: 0.0019 memory: 2934 2023/03/11 00:22:33 - mmengine - INFO - Epoch(val) [9][1480/6282] eta: 0:05:25 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/11 00:22:34 - mmengine - INFO - Epoch(val) [9][1500/6282] eta: 0:05:24 time: 0.0616 data_time: 0.0022 memory: 2934 2023/03/11 00:22:36 - mmengine - INFO - Epoch(val) [9][1520/6282] eta: 0:05:22 time: 0.0629 data_time: 0.0022 memory: 3958 2023/03/11 00:22:37 - mmengine - INFO - Epoch(val) [9][1540/6282] eta: 0:05:22 time: 0.0860 data_time: 0.0026 memory: 3958 2023/03/11 00:22:39 - mmengine - INFO - Epoch(val) [9][1560/6282] eta: 0:05:21 time: 0.0859 data_time: 0.0026 memory: 3958 2023/03/11 00:22:41 - mmengine - INFO - Epoch(val) [9][1580/6282] eta: 0:05:21 time: 0.0865 data_time: 0.0029 memory: 3958 2023/03/11 00:22:42 - mmengine - INFO - Epoch(val) [9][1600/6282] eta: 0:05:21 time: 0.0862 data_time: 0.0027 memory: 3958 2023/03/11 00:22:44 - mmengine - INFO - Epoch(val) [9][1620/6282] eta: 0:05:20 time: 0.0860 data_time: 0.0026 memory: 3958 2023/03/11 00:22:45 - mmengine - INFO - Epoch(val) [9][1640/6282] eta: 0:05:19 time: 0.0635 data_time: 0.0025 memory: 2934 2023/03/11 00:22:47 - mmengine - INFO - Epoch(val) [9][1660/6282] eta: 0:05:17 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/11 00:22:48 - mmengine - INFO - Epoch(val) [9][1680/6282] eta: 0:05:15 time: 0.0634 data_time: 0.0024 memory: 2934 2023/03/11 00:22:49 - mmengine - INFO - Epoch(val) [9][1700/6282] eta: 0:05:14 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/11 00:22:51 - mmengine - INFO - Epoch(val) [9][1720/6282] eta: 0:05:12 time: 0.0654 data_time: 0.0024 memory: 2934 2023/03/11 00:22:52 - mmengine - INFO - Epoch(val) [9][1740/6282] eta: 0:05:10 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 00:22:53 - mmengine - INFO - Epoch(val) [9][1760/6282] eta: 0:05:09 time: 0.0622 data_time: 0.0025 memory: 2934 2023/03/11 00:22:54 - mmengine - INFO - Epoch(val) [9][1780/6282] eta: 0:05:07 time: 0.0645 data_time: 0.0033 memory: 2934 2023/03/11 00:22:56 - mmengine - INFO - Epoch(val) [9][1800/6282] eta: 0:05:06 time: 0.0658 data_time: 0.0038 memory: 2934 2023/03/11 00:22:57 - mmengine - INFO - Epoch(val) [9][1820/6282] eta: 0:05:04 time: 0.0671 data_time: 0.0039 memory: 2934 2023/03/11 00:22:58 - mmengine - INFO - Epoch(val) [9][1840/6282] eta: 0:05:03 time: 0.0666 data_time: 0.0041 memory: 2934 2023/03/11 00:23:00 - mmengine - INFO - Epoch(val) [9][1860/6282] eta: 0:05:03 time: 0.0930 data_time: 0.0288 memory: 2934 2023/03/11 00:23:02 - mmengine - INFO - Epoch(val) [9][1880/6282] eta: 0:05:02 time: 0.0882 data_time: 0.0265 memory: 2934 2023/03/11 00:23:04 - mmengine - INFO - Epoch(val) [9][1900/6282] eta: 0:05:02 time: 0.0891 data_time: 0.0289 memory: 2934 2023/03/11 00:23:06 - mmengine - INFO - Epoch(val) [9][1920/6282] eta: 0:05:02 time: 0.0947 data_time: 0.0311 memory: 2934 2023/03/11 00:23:07 - mmengine - INFO - Epoch(val) [9][1940/6282] eta: 0:05:00 time: 0.0766 data_time: 0.0206 memory: 2934 2023/03/11 00:23:08 - mmengine - INFO - Epoch(val) [9][1960/6282] eta: 0:04:59 time: 0.0627 data_time: 0.0170 memory: 2397 2023/03/11 00:23:10 - mmengine - INFO - Epoch(val) [9][1980/6282] eta: 0:04:57 time: 0.0648 data_time: 0.0198 memory: 2397 2023/03/11 00:23:11 - mmengine - INFO - Epoch(val) [9][2000/6282] eta: 0:04:56 time: 0.0634 data_time: 0.0185 memory: 2397 2023/03/11 00:23:12 - mmengine - INFO - Epoch(val) [9][2020/6282] eta: 0:04:54 time: 0.0607 data_time: 0.0157 memory: 2397 2023/03/11 00:23:13 - mmengine - INFO - Epoch(val) [9][2040/6282] eta: 0:04:52 time: 0.0597 data_time: 0.0122 memory: 2397 2023/03/11 00:23:15 - mmengine - INFO - Epoch(val) [9][2060/6282] eta: 0:04:51 time: 0.0666 data_time: 0.0216 memory: 2397 2023/03/11 00:23:16 - mmengine - INFO - Epoch(val) [9][2080/6282] eta: 0:04:49 time: 0.0612 data_time: 0.0140 memory: 2397 2023/03/11 00:23:17 - mmengine - INFO - Epoch(val) [9][2100/6282] eta: 0:04:47 time: 0.0612 data_time: 0.0146 memory: 2397 2023/03/11 00:23:18 - mmengine - INFO - Epoch(val) [9][2120/6282] eta: 0:04:45 time: 0.0585 data_time: 0.0114 memory: 2397 2023/03/11 00:23:20 - mmengine - INFO - Epoch(val) [9][2140/6282] eta: 0:04:44 time: 0.0801 data_time: 0.0352 memory: 2397 2023/03/11 00:23:21 - mmengine - INFO - Epoch(val) [9][2160/6282] eta: 0:04:43 time: 0.0575 data_time: 0.0117 memory: 2396 2023/03/11 00:23:22 - mmengine - INFO - Epoch(val) [9][2180/6282] eta: 0:04:41 time: 0.0592 data_time: 0.0129 memory: 2396 2023/03/11 00:23:24 - mmengine - INFO - Epoch(val) [9][2200/6282] eta: 0:04:39 time: 0.0579 data_time: 0.0127 memory: 2396 2023/03/11 00:23:25 - mmengine - INFO - Epoch(val) [9][2220/6282] eta: 0:04:38 time: 0.0680 data_time: 0.0219 memory: 2396 2023/03/11 00:23:26 - mmengine - INFO - Epoch(val) [9][2240/6282] eta: 0:04:36 time: 0.0574 data_time: 0.0124 memory: 2396 2023/03/11 00:23:27 - mmengine - INFO - Epoch(val) [9][2260/6282] eta: 0:04:34 time: 0.0630 data_time: 0.0158 memory: 2397 2023/03/11 00:23:29 - mmengine - INFO - Epoch(val) [9][2280/6282] eta: 0:04:33 time: 0.0579 data_time: 0.0131 memory: 2397 2023/03/11 00:23:30 - mmengine - INFO - Epoch(val) [9][2300/6282] eta: 0:04:31 time: 0.0709 data_time: 0.0260 memory: 2397 2023/03/11 00:23:31 - mmengine - INFO - Epoch(val) [9][2320/6282] eta: 0:04:30 time: 0.0562 data_time: 0.0112 memory: 2397 2023/03/11 00:23:32 - mmengine - INFO - Epoch(val) [9][2340/6282] eta: 0:04:28 time: 0.0674 data_time: 0.0199 memory: 2397 2023/03/11 00:23:34 - mmengine - INFO - Epoch(val) [9][2360/6282] eta: 0:04:26 time: 0.0551 data_time: 0.0087 memory: 2396 2023/03/11 00:23:35 - mmengine - INFO - Epoch(val) [9][2380/6282] eta: 0:04:25 time: 0.0578 data_time: 0.0116 memory: 2396 2023/03/11 00:23:36 - mmengine - INFO - Epoch(val) [9][2400/6282] eta: 0:04:23 time: 0.0527 data_time: 0.0036 memory: 2396 2023/03/11 00:23:37 - mmengine - INFO - Epoch(val) [9][2420/6282] eta: 0:04:21 time: 0.0490 data_time: 0.0024 memory: 2396 2023/03/11 00:23:38 - mmengine - INFO - Epoch(val) [9][2440/6282] eta: 0:04:19 time: 0.0483 data_time: 0.0023 memory: 2396 2023/03/11 00:23:39 - mmengine - INFO - Epoch(val) [9][2460/6282] eta: 0:04:18 time: 0.0755 data_time: 0.0156 memory: 2934 2023/03/11 00:23:41 - mmengine - INFO - Epoch(val) [9][2480/6282] eta: 0:04:17 time: 0.0693 data_time: 0.0050 memory: 2934 2023/03/11 00:23:42 - mmengine - INFO - Epoch(val) [9][2500/6282] eta: 0:04:15 time: 0.0658 data_time: 0.0037 memory: 2934 2023/03/11 00:23:43 - mmengine - INFO - Epoch(val) [9][2520/6282] eta: 0:04:14 time: 0.0655 data_time: 0.0037 memory: 2934 2023/03/11 00:23:45 - mmengine - INFO - Epoch(val) [9][2540/6282] eta: 0:04:13 time: 0.0711 data_time: 0.0098 memory: 2934 2023/03/11 00:23:47 - mmengine - INFO - Epoch(val) [9][2560/6282] eta: 0:04:12 time: 0.0962 data_time: 0.0338 memory: 2934 2023/03/11 00:23:49 - mmengine - INFO - Epoch(val) [9][2580/6282] eta: 0:04:12 time: 0.1088 data_time: 0.0459 memory: 2934 2023/03/11 00:23:51 - mmengine - INFO - Epoch(val) [9][2600/6282] eta: 0:04:11 time: 0.0895 data_time: 0.0276 memory: 2934 2023/03/11 00:23:52 - mmengine - INFO - Epoch(val) [9][2620/6282] eta: 0:04:10 time: 0.0733 data_time: 0.0119 memory: 2934 2023/03/11 00:23:53 - mmengine - INFO - Epoch(val) [9][2640/6282] eta: 0:04:08 time: 0.0624 data_time: 0.0023 memory: 2934 2023/03/11 00:23:55 - mmengine - INFO - Epoch(val) [9][2660/6282] eta: 0:04:07 time: 0.0847 data_time: 0.0027 memory: 3842 2023/03/11 00:23:57 - mmengine - INFO - Epoch(val) [9][2680/6282] eta: 0:04:06 time: 0.0843 data_time: 0.0028 memory: 3842 2023/03/11 00:23:58 - mmengine - INFO - Epoch(val) [9][2700/6282] eta: 0:04:05 time: 0.0839 data_time: 0.0026 memory: 3842 2023/03/11 00:24:00 - mmengine - INFO - Epoch(val) [9][2720/6282] eta: 0:04:05 time: 0.0837 data_time: 0.0025 memory: 3842 2023/03/11 00:24:02 - mmengine - INFO - Epoch(val) [9][2740/6282] eta: 0:04:03 time: 0.0796 data_time: 0.0026 memory: 3842 2023/03/11 00:24:03 - mmengine - INFO - Epoch(val) [9][2760/6282] eta: 0:04:02 time: 0.0485 data_time: 0.0023 memory: 2397 2023/03/11 00:24:04 - mmengine - INFO - Epoch(val) [9][2780/6282] eta: 0:04:00 time: 0.0473 data_time: 0.0021 memory: 2397 2023/03/11 00:24:05 - mmengine - INFO - Epoch(val) [9][2800/6282] eta: 0:03:58 time: 0.0624 data_time: 0.0174 memory: 2397 2023/03/11 00:24:06 - mmengine - INFO - Epoch(val) [9][2820/6282] eta: 0:03:56 time: 0.0542 data_time: 0.0087 memory: 2397 2023/03/11 00:24:07 - mmengine - INFO - Epoch(val) [9][2840/6282] eta: 0:03:55 time: 0.0502 data_time: 0.0027 memory: 2397 2023/03/11 00:24:08 - mmengine - INFO - Epoch(val) [9][2860/6282] eta: 0:03:53 time: 0.0634 data_time: 0.0046 memory: 2934 2023/03/11 00:24:10 - mmengine - INFO - Epoch(val) [9][2880/6282] eta: 0:03:52 time: 0.0707 data_time: 0.0109 memory: 2934 2023/03/11 00:24:11 - mmengine - INFO - Epoch(val) [9][2900/6282] eta: 0:03:51 time: 0.0768 data_time: 0.0172 memory: 2934 2023/03/11 00:24:12 - mmengine - INFO - Epoch(val) [9][2920/6282] eta: 0:03:49 time: 0.0597 data_time: 0.0069 memory: 2934 2023/03/11 00:24:14 - mmengine - INFO - Epoch(val) [9][2940/6282] eta: 0:03:47 time: 0.0585 data_time: 0.0083 memory: 2609 2023/03/11 00:24:15 - mmengine - INFO - Epoch(val) [9][2960/6282] eta: 0:03:46 time: 0.0686 data_time: 0.0196 memory: 2609 2023/03/11 00:24:16 - mmengine - INFO - Epoch(val) [9][2980/6282] eta: 0:03:44 time: 0.0578 data_time: 0.0074 memory: 2609 2023/03/11 00:24:17 - mmengine - INFO - Epoch(val) [9][3000/6282] eta: 0:03:43 time: 0.0583 data_time: 0.0092 memory: 2609 2023/03/11 00:24:19 - mmengine - INFO - Epoch(val) [9][3020/6282] eta: 0:03:41 time: 0.0648 data_time: 0.0020 memory: 2934 2023/03/11 00:24:20 - mmengine - INFO - Epoch(val) [9][3040/6282] eta: 0:03:40 time: 0.0639 data_time: 0.0022 memory: 2934 2023/03/11 00:24:21 - mmengine - INFO - Epoch(val) [9][3060/6282] eta: 0:03:39 time: 0.0642 data_time: 0.0021 memory: 2934 2023/03/11 00:24:22 - mmengine - INFO 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eta: 0:03:13 time: 0.0557 data_time: 0.0101 memory: 2396 2023/03/11 00:24:43 - mmengine - INFO - Epoch(val) [9][3420/6282] eta: 0:03:12 time: 0.0607 data_time: 0.0146 memory: 2396 2023/03/11 00:24:44 - mmengine - INFO - Epoch(val) [9][3440/6282] eta: 0:03:10 time: 0.0571 data_time: 0.0123 memory: 2396 2023/03/11 00:24:46 - mmengine - INFO - Epoch(val) [9][3460/6282] eta: 0:03:09 time: 0.0693 data_time: 0.0246 memory: 2396 2023/03/11 00:24:47 - mmengine - INFO - Epoch(val) [9][3480/6282] eta: 0:03:08 time: 0.0592 data_time: 0.0143 memory: 2396 2023/03/11 00:24:48 - mmengine - INFO - Epoch(val) [9][3500/6282] eta: 0:03:06 time: 0.0608 data_time: 0.0130 memory: 2396 2023/03/11 00:24:49 - mmengine - INFO - Epoch(val) [9][3520/6282] eta: 0:03:05 time: 0.0608 data_time: 0.0137 memory: 2396 2023/03/11 00:24:50 - mmengine - INFO - Epoch(val) [9][3540/6282] eta: 0:03:03 time: 0.0627 data_time: 0.0160 memory: 2396 2023/03/11 00:24:52 - mmengine - INFO - Epoch(val) [9][3560/6282] eta: 0:03:02 time: 0.0604 data_time: 0.0127 memory: 2396 2023/03/11 00:24:53 - mmengine - INFO - Epoch(val) [9][3580/6282] eta: 0:03:00 time: 0.0623 data_time: 0.0121 memory: 2765 2023/03/11 00:24:54 - mmengine - INFO - Epoch(val) [9][3600/6282] eta: 0:02:59 time: 0.0599 data_time: 0.0054 memory: 2765 2023/03/11 00:24:55 - mmengine - INFO - Epoch(val) [9][3620/6282] eta: 0:02:58 time: 0.0643 data_time: 0.0077 memory: 2765 2023/03/11 00:24:57 - mmengine - INFO - Epoch(val) [9][3640/6282] eta: 0:02:56 time: 0.0588 data_time: 0.0040 memory: 2765 2023/03/11 00:24:58 - mmengine - INFO - Epoch(val) [9][3660/6282] eta: 0:02:55 time: 0.0594 data_time: 0.0029 memory: 2765 2023/03/11 00:24:59 - mmengine - INFO - Epoch(val) [9][3680/6282] eta: 0:02:53 time: 0.0673 data_time: 0.0093 memory: 2934 2023/03/11 00:25:00 - mmengine - INFO - Epoch(val) [9][3700/6282] eta: 0:02:52 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/11 00:25:02 - mmengine - INFO - Epoch(val) [9][3720/6282] eta: 0:02:51 time: 0.0648 data_time: 0.0027 memory: 2934 2023/03/11 00:25:03 - mmengine - INFO - Epoch(val) [9][3740/6282] eta: 0:02:49 time: 0.0671 data_time: 0.0030 memory: 2934 2023/03/11 00:25:04 - mmengine - INFO - Epoch(val) [9][3760/6282] eta: 0:02:48 time: 0.0658 data_time: 0.0029 memory: 2934 2023/03/11 00:25:06 - mmengine - INFO - Epoch(val) [9][3780/6282] eta: 0:02:47 time: 0.0645 data_time: 0.0035 memory: 2934 2023/03/11 00:25:07 - mmengine - INFO - Epoch(val) [9][3800/6282] eta: 0:02:45 time: 0.0651 data_time: 0.0033 memory: 2934 2023/03/11 00:25:08 - mmengine - INFO - Epoch(val) [9][3820/6282] eta: 0:02:44 time: 0.0629 data_time: 0.0027 memory: 2934 2023/03/11 00:25:10 - mmengine - INFO - Epoch(val) [9][3840/6282] eta: 0:02:42 time: 0.0632 data_time: 0.0028 memory: 2934 2023/03/11 00:25:11 - mmengine - INFO - Epoch(val) [9][3860/6282] eta: 0:02:41 time: 0.0635 data_time: 0.0030 memory: 2934 2023/03/11 00:25:12 - mmengine - INFO - Epoch(val) [9][3880/6282] eta: 0:02:40 time: 0.0632 data_time: 0.0028 memory: 2934 2023/03/11 00:25:13 - mmengine - INFO - Epoch(val) [9][3900/6282] eta: 0:02:38 time: 0.0632 data_time: 0.0027 memory: 2934 2023/03/11 00:25:15 - mmengine - INFO - Epoch(val) [9][3920/6282] eta: 0:02:37 time: 0.0624 data_time: 0.0025 memory: 2934 2023/03/11 00:25:16 - mmengine - INFO - Epoch(val) [9][3940/6282] eta: 0:02:36 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/11 00:25:17 - mmengine - INFO - Epoch(val) [9][3960/6282] eta: 0:02:34 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 00:25:18 - mmengine - INFO - Epoch(val) [9][3980/6282] eta: 0:02:33 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 00:25:20 - mmengine - INFO - Epoch(val) [9][4000/6282] eta: 0:02:31 time: 0.0635 data_time: 0.0023 memory: 2934 2023/03/11 00:25:21 - mmengine - INFO - Epoch(val) [9][4020/6282] eta: 0:02:30 time: 0.0630 data_time: 0.0021 memory: 2934 2023/03/11 00:25:22 - mmengine - INFO - Epoch(val) [9][4040/6282] eta: 0:02:29 time: 0.0647 data_time: 0.0021 memory: 3842 2023/03/11 00:25:24 - mmengine - INFO - Epoch(val) [9][4060/6282] eta: 0:02:28 time: 0.0840 data_time: 0.0026 memory: 3842 2023/03/11 00:25:26 - mmengine - INFO - Epoch(val) [9][4080/6282] eta: 0:02:26 time: 0.0845 data_time: 0.0025 memory: 3842 2023/03/11 00:25:27 - mmengine - INFO - Epoch(val) [9][4100/6282] eta: 0:02:25 time: 0.0841 data_time: 0.0025 memory: 3842 2023/03/11 00:25:29 - mmengine - INFO - Epoch(val) [9][4120/6282] eta: 0:02:24 time: 0.0840 data_time: 0.0025 memory: 3842 2023/03/11 00:25:30 - mmengine - INFO - Epoch(val) [9][4140/6282] eta: 0:02:23 time: 0.0706 data_time: 0.0026 memory: 3842 2023/03/11 00:25:31 - mmengine - INFO - Epoch(val) [9][4160/6282] eta: 0:02:21 time: 0.0480 data_time: 0.0022 memory: 2396 2023/03/11 00:25:32 - mmengine - INFO - Epoch(val) [9][4180/6282] eta: 0:02:20 time: 0.0490 data_time: 0.0025 memory: 2396 2023/03/11 00:25:33 - mmengine - INFO - Epoch(val) [9][4200/6282] eta: 0:02:18 time: 0.0583 data_time: 0.0117 memory: 2396 2023/03/11 00:25:35 - mmengine - INFO - Epoch(val) [9][4220/6282] eta: 0:02:17 time: 0.0643 data_time: 0.0175 memory: 2396 2023/03/11 00:25:36 - mmengine - INFO - Epoch(val) [9][4240/6282] eta: 0:02:16 time: 0.0628 data_time: 0.0174 memory: 2396 2023/03/11 00:25:37 - mmengine - INFO - Epoch(val) [9][4260/6282] eta: 0:02:14 time: 0.0554 data_time: 0.0075 memory: 2396 2023/03/11 00:25:38 - mmengine - INFO - Epoch(val) [9][4280/6282] eta: 0:02:13 time: 0.0586 data_time: 0.0127 memory: 2396 2023/03/11 00:25:40 - mmengine - INFO - Epoch(val) [9][4300/6282] eta: 0:02:11 time: 0.0648 data_time: 0.0199 memory: 2396 2023/03/11 00:25:41 - mmengine - INFO - Epoch(val) [9][4320/6282] eta: 0:02:10 time: 0.0632 data_time: 0.0167 memory: 2396 2023/03/11 00:25:42 - mmengine - INFO - Epoch(val) [9][4340/6282] eta: 0:02:09 time: 0.0567 data_time: 0.0098 memory: 2396 2023/03/11 00:25:43 - mmengine - INFO - Epoch(val) [9][4360/6282] eta: 0:02:07 time: 0.0638 data_time: 0.0040 memory: 2934 2023/03/11 00:25:45 - mmengine - INFO - Epoch(val) [9][4380/6282] eta: 0:02:06 time: 0.0635 data_time: 0.0021 memory: 2934 2023/03/11 00:25:46 - mmengine - INFO - Epoch(val) [9][4400/6282] eta: 0:02:05 time: 0.0651 data_time: 0.0029 memory: 2934 2023/03/11 00:25:47 - mmengine - INFO - Epoch(val) [9][4420/6282] eta: 0:02:03 time: 0.0644 data_time: 0.0022 memory: 2934 2023/03/11 00:25:49 - mmengine - INFO - Epoch(val) [9][4440/6282] eta: 0:02:02 time: 0.0669 data_time: 0.0025 memory: 3023 2023/03/11 00:25:50 - mmengine - INFO - Epoch(val) [9][4460/6282] eta: 0:02:01 time: 0.0646 data_time: 0.0024 memory: 3023 2023/03/11 00:25:51 - mmengine - INFO - Epoch(val) [9][4480/6282] eta: 0:01:59 time: 0.0642 data_time: 0.0023 memory: 3023 2023/03/11 00:25:52 - mmengine - INFO - Epoch(val) [9][4500/6282] eta: 0:01:58 time: 0.0639 data_time: 0.0022 memory: 3023 2023/03/11 00:25:54 - mmengine - INFO - Epoch(val) [9][4520/6282] eta: 0:01:57 time: 0.0626 data_time: 0.0022 memory: 3023 2023/03/11 00:25:55 - mmengine - INFO - Epoch(val) [9][4540/6282] eta: 0:01:55 time: 0.0489 data_time: 0.0020 memory: 2464 2023/03/11 00:25:56 - mmengine - INFO - Epoch(val) [9][4560/6282] eta: 0:01:54 time: 0.0488 data_time: 0.0022 memory: 2464 2023/03/11 00:25:57 - mmengine - INFO - Epoch(val) [9][4580/6282] eta: 0:01:52 time: 0.0579 data_time: 0.0097 memory: 2464 2023/03/11 00:25:58 - mmengine - INFO - Epoch(val) [9][4600/6282] eta: 0:01:51 time: 0.0590 data_time: 0.0106 memory: 2464 2023/03/11 00:25:59 - mmengine - INFO - Epoch(val) [9][4620/6282] eta: 0:01:50 time: 0.0722 data_time: 0.0236 memory: 2464 2023/03/11 00:26:01 - mmengine - INFO - Epoch(val) [9][4640/6282] eta: 0:01:48 time: 0.0656 data_time: 0.0024 memory: 3023 2023/03/11 00:26:02 - mmengine - INFO - Epoch(val) [9][4660/6282] eta: 0:01:47 time: 0.0671 data_time: 0.0024 memory: 3023 2023/03/11 00:26:04 - mmengine - INFO - Epoch(val) [9][4680/6282] eta: 0:01:46 time: 0.0927 data_time: 0.0312 memory: 3023 2023/03/11 00:26:05 - mmengine - INFO - Epoch(val) 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eta: 0:01:34 time: 0.0644 data_time: 0.0026 memory: 2934 2023/03/11 00:26:16 - mmengine - INFO - Epoch(val) [9][4880/6282] eta: 0:01:32 time: 0.0667 data_time: 0.0027 memory: 2934 2023/03/11 00:26:18 - mmengine - INFO - Epoch(val) [9][4900/6282] eta: 0:01:31 time: 0.0639 data_time: 0.0024 memory: 2934 2023/03/11 00:26:19 - mmengine - INFO - Epoch(val) [9][4920/6282] eta: 0:01:30 time: 0.0635 data_time: 0.0022 memory: 2934 2023/03/11 00:26:20 - mmengine - INFO - Epoch(val) [9][4940/6282] eta: 0:01:28 time: 0.0645 data_time: 0.0024 memory: 2934 2023/03/11 00:26:22 - mmengine - INFO - Epoch(val) [9][4960/6282] eta: 0:01:27 time: 0.0681 data_time: 0.0028 memory: 2934 2023/03/11 00:26:23 - mmengine - INFO - Epoch(val) [9][4980/6282] eta: 0:01:26 time: 0.0621 data_time: 0.0022 memory: 2934 2023/03/11 00:26:24 - mmengine - INFO - Epoch(val) [9][5000/6282] eta: 0:01:24 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/11 00:26:25 - mmengine - INFO - Epoch(val) [9][5020/6282] eta: 0:01:23 time: 0.0544 data_time: 0.0023 memory: 2934 2023/03/11 00:26:26 - mmengine - INFO - Epoch(val) [9][5040/6282] eta: 0:01:21 time: 0.0492 data_time: 0.0022 memory: 2397 2023/03/11 00:26:27 - mmengine - INFO - Epoch(val) [9][5060/6282] eta: 0:01:20 time: 0.0506 data_time: 0.0021 memory: 2397 2023/03/11 00:26:28 - mmengine - INFO - Epoch(val) [9][5080/6282] eta: 0:01:19 time: 0.0613 data_time: 0.0142 memory: 2397 2023/03/11 00:26:30 - mmengine - INFO - Epoch(val) [9][5100/6282] eta: 0:01:17 time: 0.0602 data_time: 0.0134 memory: 2397 2023/03/11 00:26:31 - mmengine - INFO - Epoch(val) [9][5120/6282] eta: 0:01:16 time: 0.0641 data_time: 0.0191 memory: 2397 2023/03/11 00:26:32 - mmengine - INFO - Epoch(val) [9][5140/6282] eta: 0:01:15 time: 0.0599 data_time: 0.0125 memory: 2396 2023/03/11 00:26:33 - mmengine - INFO - Epoch(val) [9][5160/6282] eta: 0:01:13 time: 0.0623 data_time: 0.0159 memory: 2396 2023/03/11 00:26:35 - mmengine - INFO - Epoch(val) [9][5180/6282] eta: 0:01:12 time: 0.0595 data_time: 0.0144 memory: 2396 2023/03/11 00:26:36 - mmengine - INFO - Epoch(val) [9][5200/6282] eta: 0:01:11 time: 0.0661 data_time: 0.0186 memory: 2396 2023/03/11 00:26:37 - mmengine - INFO - Epoch(val) [9][5220/6282] eta: 0:01:09 time: 0.0565 data_time: 0.0099 memory: 2396 2023/03/11 00:26:38 - mmengine - INFO - Epoch(val) [9][5240/6282] eta: 0:01:08 time: 0.0603 data_time: 0.0142 memory: 2396 2023/03/11 00:26:40 - mmengine - INFO - Epoch(val) [9][5260/6282] eta: 0:01:07 time: 0.0632 data_time: 0.0181 memory: 2396 2023/03/11 00:26:41 - mmengine - INFO - Epoch(val) [9][5280/6282] eta: 0:01:05 time: 0.0609 data_time: 0.0138 memory: 2396 2023/03/11 00:26:42 - mmengine - INFO - Epoch(val) [9][5300/6282] eta: 0:01:04 time: 0.0575 data_time: 0.0109 memory: 2396 2023/03/11 00:26:43 - mmengine - INFO - Epoch(val) [9][5320/6282] eta: 0:01:03 time: 0.0622 data_time: 0.0148 memory: 2396 2023/03/11 00:26:44 - mmengine - INFO - Epoch(val) [9][5340/6282] eta: 0:01:01 time: 0.0577 data_time: 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2396 2023/03/11 00:26:55 - mmengine - INFO - Epoch(val) [9][5520/6282] eta: 0:00:49 time: 0.0625 data_time: 0.0129 memory: 2608 2023/03/11 00:26:56 - mmengine - INFO - Epoch(val) [9][5540/6282] eta: 0:00:48 time: 0.0568 data_time: 0.0062 memory: 2608 2023/03/11 00:26:58 - mmengine - INFO - Epoch(val) [9][5560/6282] eta: 0:00:47 time: 0.0612 data_time: 0.0118 memory: 2608 2023/03/11 00:26:59 - mmengine - INFO - Epoch(val) [9][5580/6282] eta: 0:00:45 time: 0.0565 data_time: 0.0069 memory: 2608 2023/03/11 00:27:00 - mmengine - INFO - Epoch(val) [9][5600/6282] eta: 0:00:44 time: 0.0659 data_time: 0.0146 memory: 2608 2023/03/11 00:27:01 - mmengine - INFO - Epoch(val) [9][5620/6282] eta: 0:00:43 time: 0.0548 data_time: 0.0078 memory: 2608 2023/03/11 00:27:02 - mmengine - INFO - Epoch(val) [9][5640/6282] eta: 0:00:41 time: 0.0602 data_time: 0.0141 memory: 2396 2023/03/11 00:27:03 - mmengine - INFO - Epoch(val) [9][5660/6282] eta: 0:00:40 time: 0.0571 data_time: 0.0123 memory: 2396 2023/03/11 00:27:05 - mmengine - INFO - Epoch(val) [9][5680/6282] eta: 0:00:39 time: 0.0677 data_time: 0.0202 memory: 2396 2023/03/11 00:27:06 - mmengine - INFO - Epoch(val) [9][5700/6282] eta: 0:00:38 time: 0.0619 data_time: 0.0166 memory: 2396 2023/03/11 00:27:07 - mmengine - INFO - Epoch(val) [9][5720/6282] eta: 0:00:36 time: 0.0647 data_time: 0.0162 memory: 2686 2023/03/11 00:27:09 - mmengine - INFO - Epoch(val) [9][5740/6282] eta: 0:00:35 time: 0.0583 data_time: 0.0045 memory: 2686 2023/03/11 00:27:10 - mmengine - INFO - Epoch(val) [9][5760/6282] eta: 0:00:34 time: 0.0700 data_time: 0.0164 memory: 2686 2023/03/11 00:27:12 - mmengine - INFO - Epoch(val) [9][5780/6282] eta: 0:00:32 time: 0.0899 data_time: 0.0369 memory: 2686 2023/03/11 00:27:13 - mmengine - INFO - Epoch(val) [9][5800/6282] eta: 0:00:31 time: 0.0596 data_time: 0.0036 memory: 2686 2023/03/11 00:27:14 - mmengine - INFO - Epoch(val) [9][5820/6282] eta: 0:00:30 time: 0.0553 data_time: 0.0025 memory: 2686 2023/03/11 00:27:15 - mmengine - INFO - Epoch(val) [9][5840/6282] eta: 0:00:28 time: 0.0681 data_time: 0.0160 memory: 2608 2023/03/11 00:27:17 - mmengine - INFO - Epoch(val) [9][5860/6282] eta: 0:00:27 time: 0.0570 data_time: 0.0062 memory: 2608 2023/03/11 00:27:18 - mmengine - INFO - Epoch(val) [9][5880/6282] eta: 0:00:26 time: 0.0615 data_time: 0.0097 memory: 2608 2023/03/11 00:27:19 - mmengine - INFO - Epoch(val) [9][5900/6282] eta: 0:00:24 time: 0.0568 data_time: 0.0075 memory: 2608 2023/03/11 00:27:20 - mmengine - INFO - Epoch(val) [9][5920/6282] eta: 0:00:23 time: 0.0668 data_time: 0.0186 memory: 2608 2023/03/11 00:27:21 - mmengine - INFO - Epoch(val) [9][5940/6282] eta: 0:00:22 time: 0.0566 data_time: 0.0116 memory: 2396 2023/03/11 00:27:23 - mmengine - INFO - Epoch(val) [9][5960/6282] eta: 0:00:21 time: 0.0610 data_time: 0.0136 memory: 2396 2023/03/11 00:27:24 - mmengine - INFO - Epoch(val) [9][5980/6282] eta: 0:00:19 time: 0.0556 data_time: 0.0093 memory: 2396 2023/03/11 00:27:25 - mmengine - INFO - Epoch(val) [9][6000/6282] eta: 0:00:18 time: 0.0695 data_time: 0.0090 memory: 2934 2023/03/11 00:27:26 - mmengine - INFO - Epoch(val) [9][6020/6282] eta: 0:00:17 time: 0.0646 data_time: 0.0020 memory: 2934 2023/03/11 00:27:28 - mmengine - INFO - Epoch(val) [9][6040/6282] eta: 0:00:15 time: 0.0644 data_time: 0.0026 memory: 2934 2023/03/11 00:27:29 - mmengine - INFO - Epoch(val) [9][6060/6282] eta: 0:00:14 time: 0.0687 data_time: 0.0026 memory: 2934 2023/03/11 00:27:30 - mmengine - INFO - Epoch(val) [9][6080/6282] eta: 0:00:13 time: 0.0650 data_time: 0.0030 memory: 2934 2023/03/11 00:27:32 - mmengine - INFO - Epoch(val) [9][6100/6282] eta: 0:00:11 time: 0.0637 data_time: 0.0031 memory: 2934 2023/03/11 00:27:33 - mmengine - INFO - Epoch(val) [9][6120/6282] eta: 0:00:10 time: 0.0638 data_time: 0.0030 memory: 2934 2023/03/11 00:27:34 - mmengine - INFO - Epoch(val) [9][6140/6282] eta: 0:00:09 time: 0.0636 data_time: 0.0026 memory: 2934 2023/03/11 00:27:36 - mmengine - INFO - Epoch(val) [9][6160/6282] eta: 0:00:07 time: 0.0649 data_time: 0.0026 memory: 2934 2023/03/11 00:27:37 - mmengine - INFO - Epoch(val) [9][6180/6282] eta: 0:00:06 time: 0.0624 data_time: 0.0023 memory: 2934 2023/03/11 00:27:38 - mmengine - INFO - Epoch(val) [9][6200/6282] eta: 0:00:05 time: 0.0613 data_time: 0.0021 memory: 2934 2023/03/11 00:27:40 - mmengine - INFO - Epoch(val) [9][6220/6282] eta: 0:00:04 time: 0.0925 data_time: 0.0150 memory: 2934 2023/03/11 00:27:41 - mmengine - INFO - Epoch(val) [9][6240/6282] eta: 0:00:02 time: 0.0636 data_time: 0.0022 memory: 2934 2023/03/11 00:27:42 - mmengine - INFO - Epoch(val) [9][6260/6282] eta: 0:00:01 time: 0.0618 data_time: 0.0020 memory: 2934 2023/03/11 00:27:44 - mmengine - INFO - Epoch(val) [9][6280/6282] eta: 0:00:00 time: 0.0616 data_time: 0.0018 memory: 2934 2023/03/11 00:30:33 - mmengine - INFO - Epoch(val) [9][6282/6282] mAP/mAP@0.5IOU: 0.3280 2023/03/11 00:30:51 - mmengine - INFO - Epoch(train) [10][ 20/4451] lr: 2.4774e-06 eta: 9:12:58 time: 0.9042 data_time: 0.3692 memory: 51970 grad_norm: 0.1320 loss: 0.0369 recall@thr=0.5: 0.6184 prec@thr=0.5: 0.7193 recall@top3: 0.9079 prec@top3: 0.7018 recall@top5: 0.9386 prec@top5: 0.4421 loss_action_cls: 0.0369 2023/03/11 00:31:03 - mmengine - INFO - Epoch(train) [10][ 40/4451] lr: 2.4763e-06 eta: 9:12:42 time: 0.5943 data_time: 0.1104 memory: 51970 grad_norm: 0.1283 loss: 0.0338 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7500 recall@top3: 0.9259 prec@top3: 0.5926 recall@top5: 0.9630 prec@top5: 0.3778 loss_action_cls: 0.0338 2023/03/11 00:31:17 - mmengine - INFO - Epoch(train) [10][ 60/4451] lr: 2.4753e-06 eta: 9:12:30 time: 0.7324 data_time: 0.2247 memory: 51970 grad_norm: 0.1234 loss: 0.0370 recall@thr=0.5: 0.5437 prec@thr=0.5: 0.7381 recall@top3: 0.8373 prec@top3: 0.6825 recall@top5: 0.9484 prec@top5: 0.4857 loss_action_cls: 0.0370 2023/03/11 00:31:30 - mmengine - INFO - Epoch(train) [10][ 80/4451] lr: 2.4743e-06 eta: 9:12:15 time: 0.6242 data_time: 0.1338 memory: 51970 grad_norm: 0.1319 loss: 0.0355 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7204 recall@top3: 0.7269 prec@top3: 0.6852 recall@top5: 0.9259 prec@top5: 0.5222 loss_action_cls: 0.0355 2023/03/11 00:31:44 - mmengine - INFO - Epoch(train) [10][ 100/4451] lr: 2.4732e-06 eta: 9:12:02 time: 0.6994 data_time: 0.0997 memory: 51970 grad_norm: 0.1342 loss: 0.0403 recall@thr=0.5: 0.5635 prec@thr=0.5: 0.8254 recall@top3: 0.8175 prec@top3: 0.7143 recall@top5: 0.8532 prec@top5: 0.4571 loss_action_cls: 0.0403 2023/03/11 00:31:56 - mmengine - INFO - Epoch(train) [10][ 120/4451] lr: 2.4722e-06 eta: 9:11:48 time: 0.6375 data_time: 0.0562 memory: 51970 grad_norm: 0.1292 loss: 0.0345 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.8000 recall@top3: 0.7700 prec@top3: 0.6400 recall@top5: 0.9200 prec@top5: 0.4560 loss_action_cls: 0.0345 2023/03/11 00:32:09 - mmengine - INFO - Epoch(train) [10][ 140/4451] lr: 2.4711e-06 eta: 9:11:34 time: 0.6511 data_time: 0.1145 memory: 51970 grad_norm: 0.1269 loss: 0.0350 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7870 recall@top3: 0.7963 prec@top3: 0.5556 recall@top5: 0.8333 prec@top5: 0.3556 loss_action_cls: 0.0350 2023/03/11 00:32:22 - mmengine - INFO - Epoch(train) [10][ 160/4451] lr: 2.4701e-06 eta: 9:11:19 time: 0.6361 data_time: 0.1738 memory: 51970 grad_norm: 0.1324 loss: 0.0356 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7037 recall@top3: 0.8704 prec@top3: 0.5741 recall@top5: 0.8981 prec@top5: 0.3667 loss_action_cls: 0.0356 2023/03/11 00:32:35 - mmengine - INFO - Epoch(train) [10][ 180/4451] lr: 2.4690e-06 eta: 9:11:05 time: 0.6549 data_time: 0.2005 memory: 51970 grad_norm: 0.1380 loss: 0.0354 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8800 recall@top3: 0.8733 prec@top3: 0.7333 recall@top5: 0.9800 prec@top5: 0.5200 loss_action_cls: 0.0354 2023/03/11 00:32:48 - mmengine - INFO - Epoch(train) [10][ 200/4451] lr: 2.4680e-06 eta: 9:10:51 time: 0.6446 data_time: 0.1460 memory: 51970 grad_norm: 0.1291 loss: 0.0379 recall@thr=0.5: 0.6130 prec@thr=0.5: 0.6979 recall@top3: 0.8260 prec@top3: 0.7292 recall@top5: 0.9312 prec@top5: 0.5062 loss_action_cls: 0.0379 2023/03/11 00:33:02 - mmengine - INFO - Epoch(train) [10][ 220/4451] lr: 2.4670e-06 eta: 9:10:37 time: 0.6695 data_time: 0.1753 memory: 51970 grad_norm: 0.1334 loss: 0.0376 recall@thr=0.5: 0.5600 prec@thr=0.5: 0.6467 recall@top3: 0.7867 prec@top3: 0.5200 recall@top5: 0.8867 prec@top5: 0.3680 loss_action_cls: 0.0376 2023/03/11 00:33:15 - mmengine - INFO - Epoch(train) [10][ 240/4451] lr: 2.4659e-06 eta: 9:10:23 time: 0.6646 data_time: 0.0594 memory: 51970 grad_norm: 0.1422 loss: 0.0394 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.6310 recall@top3: 0.7857 prec@top3: 0.5238 recall@top5: 0.8810 prec@top5: 0.3571 loss_action_cls: 0.0394 2023/03/11 00:33:29 - mmengine - INFO - Epoch(train) [10][ 260/4451] lr: 2.4649e-06 eta: 9:10:11 time: 0.7289 data_time: 0.1148 memory: 51970 grad_norm: 0.1383 loss: 0.0369 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.6875 recall@top3: 0.7396 prec@top3: 0.4583 recall@top5: 0.9427 prec@top5: 0.3875 loss_action_cls: 0.0369 2023/03/11 00:33:42 - mmengine - INFO - Epoch(train) [10][ 280/4451] lr: 2.4638e-06 eta: 9:09:56 time: 0.6145 data_time: 0.1436 memory: 51970 grad_norm: 0.1303 loss: 0.0385 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.7609 recall@top3: 0.8913 prec@top3: 0.6232 recall@top5: 0.9420 prec@top5: 0.4000 loss_action_cls: 0.0385 2023/03/11 00:33:57 - mmengine - INFO - Epoch(train) [10][ 300/4451] lr: 2.4628e-06 eta: 9:09:44 time: 0.7575 data_time: 0.0907 memory: 51970 grad_norm: 0.1346 loss: 0.0314 recall@thr=0.5: 0.7065 prec@thr=0.5: 0.8623 recall@top3: 0.8080 prec@top3: 0.7536 recall@top5: 0.9493 prec@top5: 0.5391 loss_action_cls: 0.0314 2023/03/11 00:34:08 - mmengine - INFO - Epoch(train) [10][ 320/4451] lr: 2.4617e-06 eta: 9:09:28 time: 0.5608 data_time: 0.0112 memory: 51970 grad_norm: 0.1329 loss: 0.0346 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.6867 recall@top3: 0.7400 prec@top3: 0.6133 recall@top5: 0.8867 prec@top5: 0.4640 loss_action_cls: 0.0346 2023/03/11 00:34:23 - mmengine - INFO - Epoch(train) [10][ 340/4451] lr: 2.4606e-06 eta: 9:09:15 time: 0.7218 data_time: 0.2226 memory: 51970 grad_norm: 0.1248 loss: 0.0360 recall@thr=0.5: 0.5435 prec@thr=0.5: 0.5870 recall@top3: 0.6304 prec@top3: 0.4638 recall@top5: 0.9348 prec@top5: 0.4174 loss_action_cls: 0.0360 2023/03/11 00:34:35 - mmengine - INFO - Epoch(train) [10][ 360/4451] lr: 2.4596e-06 eta: 9:09:01 time: 0.6459 data_time: 0.2209 memory: 51970 grad_norm: 0.1387 loss: 0.0361 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8250 recall@top3: 0.8750 prec@top3: 0.6500 recall@top5: 0.9875 prec@top5: 0.4600 loss_action_cls: 0.0361 2023/03/11 00:34:51 - mmengine - INFO - Epoch(train) [10][ 380/4451] lr: 2.4585e-06 eta: 9:08:49 time: 0.7716 data_time: 0.3435 memory: 51970 grad_norm: 0.1351 loss: 0.0363 recall@thr=0.5: 0.6686 prec@thr=0.5: 0.7412 recall@top3: 0.8824 prec@top3: 0.5882 recall@top5: 0.9333 prec@top5: 0.3882 loss_action_cls: 0.0363 2023/03/11 00:35:03 - mmengine - INFO - Epoch(train) [10][ 400/4451] lr: 2.4575e-06 eta: 9:08:34 time: 0.6170 data_time: 0.1922 memory: 51970 grad_norm: 0.1384 loss: 0.0332 recall@thr=0.5: 0.7733 prec@thr=0.5: 0.7733 recall@top3: 0.8533 prec@top3: 0.6933 recall@top5: 0.9600 prec@top5: 0.4720 loss_action_cls: 0.0332 2023/03/11 00:35:17 - mmengine - INFO - Epoch(train) [10][ 420/4451] lr: 2.4564e-06 eta: 9:08:20 time: 0.6634 data_time: 0.2372 memory: 51970 grad_norm: 0.1353 loss: 0.0374 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8300 recall@top3: 0.8900 prec@top3: 0.7333 recall@top5: 0.9267 prec@top5: 0.4640 loss_action_cls: 0.0374 2023/03/11 00:35:28 - mmengine - INFO - Epoch(train) [10][ 440/4451] lr: 2.4554e-06 eta: 9:08:04 time: 0.5606 data_time: 0.1129 memory: 51970 grad_norm: 0.1369 loss: 0.0395 recall@thr=0.5: 0.8567 prec@thr=0.5: 0.9200 recall@top3: 0.8700 prec@top3: 0.7067 recall@top5: 0.9133 prec@top5: 0.4560 loss_action_cls: 0.0395 2023/03/11 00:35:42 - mmengine - INFO - Epoch(train) [10][ 460/4451] lr: 2.4543e-06 eta: 9:07:52 time: 0.7324 data_time: 0.2224 memory: 51970 grad_norm: 0.1343 loss: 0.0343 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.8095 recall@top3: 0.7679 prec@top3: 0.5238 recall@top5: 0.8750 prec@top5: 0.3571 loss_action_cls: 0.0343 2023/03/11 00:35:54 - mmengine - INFO - Epoch(train) [10][ 480/4451] lr: 2.4533e-06 eta: 9:07:36 time: 0.5957 data_time: 0.1493 memory: 51970 grad_norm: 0.1279 loss: 0.0357 recall@thr=0.5: 0.7311 prec@thr=0.5: 0.7750 recall@top3: 0.7121 prec@top3: 0.4697 recall@top5: 0.9356 prec@top5: 0.3909 loss_action_cls: 0.0357 2023/03/11 00:36:08 - mmengine - INFO - Epoch(train) [10][ 500/4451] lr: 2.4522e-06 eta: 9:07:23 time: 0.6815 data_time: 0.2483 memory: 51970 grad_norm: 0.1354 loss: 0.0376 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.8750 recall@top3: 0.7958 prec@top3: 0.8167 recall@top5: 0.9583 prec@top5: 0.6000 loss_action_cls: 0.0376 2023/03/11 00:36:21 - mmengine - INFO - Epoch(train) [10][ 520/4451] lr: 2.4511e-06 eta: 9:07:08 time: 0.6377 data_time: 0.2078 memory: 51970 grad_norm: 0.1314 loss: 0.0351 recall@thr=0.5: 0.7839 prec@thr=0.5: 0.7396 recall@top3: 0.8021 prec@top3: 0.6979 recall@top5: 1.0000 prec@top5: 0.5250 loss_action_cls: 0.0351 2023/03/11 00:36:34 - mmengine - INFO - Epoch(train) [10][ 540/4451] lr: 2.4501e-06 eta: 9:06:54 time: 0.6639 data_time: 0.2364 memory: 51970 grad_norm: 0.1304 loss: 0.0342 recall@thr=0.5: 0.6348 prec@thr=0.5: 0.7391 recall@top3: 0.7906 prec@top3: 0.6957 recall@top5: 0.9167 prec@top5: 0.5043 loss_action_cls: 0.0342 2023/03/11 00:36:46 - mmengine - INFO - Epoch(train) [10][ 560/4451] lr: 2.4490e-06 eta: 9:06:39 time: 0.5857 data_time: 0.1591 memory: 51970 grad_norm: 0.1356 loss: 0.0340 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.7536 recall@top3: 0.8007 prec@top3: 0.6957 recall@top5: 0.9710 prec@top5: 0.5304 loss_action_cls: 0.0340 2023/03/11 00:36:59 - mmengine - INFO - Epoch(train) [10][ 580/4451] lr: 2.4479e-06 eta: 9:06:25 time: 0.6704 data_time: 0.1722 memory: 51970 grad_norm: 0.1360 loss: 0.0366 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.9762 recall@top3: 0.8571 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4857 loss_action_cls: 0.0366 2023/03/11 00:37:12 - mmengine - INFO - Epoch(train) [10][ 600/4451] lr: 2.4469e-06 eta: 9:06:11 time: 0.6375 data_time: 0.1828 memory: 51970 grad_norm: 0.1343 loss: 0.0385 recall@thr=0.5: 0.8386 prec@thr=0.5: 0.7939 recall@top3: 0.8263 prec@top3: 0.7018 recall@top5: 0.9737 prec@top5: 0.5368 loss_action_cls: 0.0385 2023/03/11 00:37:26 - mmengine - INFO - Epoch(train) [10][ 620/4451] lr: 2.4458e-06 eta: 9:05:58 time: 0.7294 data_time: 0.1097 memory: 51970 grad_norm: 0.1381 loss: 0.0328 recall@thr=0.5: 0.7767 prec@thr=0.5: 0.7600 recall@top3: 0.8833 prec@top3: 0.6933 recall@top5: 0.9800 prec@top5: 0.4720 loss_action_cls: 0.0328 2023/03/11 00:37:38 - mmengine - INFO - Epoch(train) [10][ 640/4451] lr: 2.4448e-06 eta: 9:05:42 time: 0.5772 data_time: 0.0501 memory: 51970 grad_norm: 0.1356 loss: 0.0358 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8125 recall@top3: 0.8542 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0358 2023/03/11 00:37:53 - mmengine - INFO - Epoch(train) [10][ 660/4451] lr: 2.4437e-06 eta: 9:05:30 time: 0.7513 data_time: 0.0821 memory: 51970 grad_norm: 0.1385 loss: 0.0341 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8464 recall@top3: 0.8906 prec@top3: 0.7708 recall@top5: 0.9896 prec@top5: 0.5187 loss_action_cls: 0.0341 2023/03/11 00:38:05 - mmengine - INFO - Epoch(train) [10][ 680/4451] lr: 2.4426e-06 eta: 9:05:15 time: 0.6127 data_time: 0.0310 memory: 51970 grad_norm: 0.1398 loss: 0.0358 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.6863 recall@top3: 0.7451 prec@top3: 0.5490 recall@top5: 0.8725 prec@top5: 0.3882 loss_action_cls: 0.0358 2023/03/11 00:38:20 - mmengine - INFO - Epoch(train) [10][ 700/4451] lr: 2.4415e-06 eta: 9:05:03 time: 0.7159 data_time: 0.0148 memory: 51970 grad_norm: 0.1327 loss: 0.0358 recall@thr=0.5: 0.4722 prec@thr=0.5: 0.5000 recall@top3: 0.6458 prec@top3: 0.4167 recall@top5: 0.8333 prec@top5: 0.3000 loss_action_cls: 0.0358 2023/03/11 00:38:32 - mmengine - INFO - Epoch(train) [10][ 720/4451] lr: 2.4405e-06 eta: 9:04:48 time: 0.6134 data_time: 0.0162 memory: 51970 grad_norm: 0.1348 loss: 0.0350 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6961 recall@top3: 0.7647 prec@top3: 0.5686 recall@top5: 0.9216 prec@top5: 0.4235 loss_action_cls: 0.0350 2023/03/11 00:38:46 - mmengine - INFO - Epoch(train) [10][ 740/4451] lr: 2.4394e-06 eta: 9:04:34 time: 0.6888 data_time: 0.0583 memory: 51970 grad_norm: 0.1310 loss: 0.0342 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.7083 recall@top3: 0.7992 prec@top3: 0.5455 recall@top5: 0.8750 prec@top5: 0.3545 loss_action_cls: 0.0342 2023/03/11 00:39:01 - mmengine - INFO - Epoch(train) [10][ 760/4451] lr: 2.4383e-06 eta: 9:04:23 time: 0.7769 data_time: 0.0342 memory: 51970 grad_norm: 0.1315 loss: 0.0338 recall@thr=0.5: 0.6967 prec@thr=0.5: 0.7267 recall@top3: 0.8367 prec@top3: 0.4933 recall@top5: 0.9500 prec@top5: 0.3680 loss_action_cls: 0.0338 2023/03/11 00:39:14 - mmengine - INFO - Epoch(train) [10][ 780/4451] lr: 2.4373e-06 eta: 9:04:09 time: 0.6594 data_time: 0.0135 memory: 51970 grad_norm: 0.1381 loss: 0.0348 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7895 recall@top3: 0.9474 prec@top3: 0.6842 recall@top5: 0.9825 prec@top5: 0.4316 loss_action_cls: 0.0348 2023/03/11 00:39:28 - mmengine - INFO - Epoch(train) [10][ 800/4451] lr: 2.4362e-06 eta: 9:03:55 time: 0.6615 data_time: 0.0113 memory: 51970 grad_norm: 0.1316 loss: 0.0354 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.6159 recall@top3: 0.8623 prec@top3: 0.6812 recall@top5: 0.9348 prec@top5: 0.4522 loss_action_cls: 0.0354 2023/03/11 00:39:40 - mmengine - INFO - Epoch(train) [10][ 820/4451] lr: 2.4351e-06 eta: 9:03:41 time: 0.6288 data_time: 0.0142 memory: 51970 grad_norm: 0.1303 loss: 0.0359 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8070 recall@top3: 0.9474 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0359 2023/03/11 00:39:54 - mmengine - INFO - Epoch(train) [10][ 840/4451] lr: 2.4340e-06 eta: 9:03:27 time: 0.6725 data_time: 0.0115 memory: 51970 grad_norm: 0.1365 loss: 0.0332 recall@thr=0.5: 0.8178 prec@thr=0.5: 0.9389 recall@top3: 0.8822 prec@top3: 0.7333 recall@top5: 0.9867 prec@top5: 0.5200 loss_action_cls: 0.0332 2023/03/11 00:40:06 - mmengine - INFO - Epoch(train) [10][ 860/4451] lr: 2.4330e-06 eta: 9:03:12 time: 0.6056 data_time: 0.0125 memory: 51970 grad_norm: 0.1333 loss: 0.0360 recall@thr=0.5: 0.8775 prec@thr=0.5: 0.8824 recall@top3: 0.9069 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0360 2023/03/11 00:40:18 - mmengine - INFO - Epoch(train) [10][ 880/4451] lr: 2.4319e-06 eta: 9:02:56 time: 0.6015 data_time: 0.0148 memory: 51970 grad_norm: 0.1310 loss: 0.0373 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.8704 recall@top3: 0.8009 prec@top3: 0.7593 recall@top5: 0.9306 prec@top5: 0.5444 loss_action_cls: 0.0373 2023/03/11 00:40:30 - mmengine - INFO - Epoch(train) [10][ 900/4451] lr: 2.4308e-06 eta: 9:02:42 time: 0.6278 data_time: 0.0120 memory: 51970 grad_norm: 0.1360 loss: 0.0348 recall@thr=0.5: 0.6725 prec@thr=0.5: 0.7892 recall@top3: 0.6637 prec@top3: 0.7059 recall@top5: 0.9363 prec@top5: 0.6000 loss_action_cls: 0.0348 2023/03/11 00:40:45 - mmengine - INFO - Epoch(train) [10][ 920/4451] lr: 2.4297e-06 eta: 9:02:29 time: 0.7207 data_time: 0.0127 memory: 51970 grad_norm: 0.1317 loss: 0.0350 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9375 recall@top3: 0.9062 prec@top3: 0.7292 recall@top5: 0.9583 prec@top5: 0.4625 loss_action_cls: 0.0350 2023/03/11 00:40:58 - mmengine - INFO - Epoch(train) [10][ 940/4451] lr: 2.4287e-06 eta: 9:02:15 time: 0.6457 data_time: 0.0129 memory: 51970 grad_norm: 0.1381 loss: 0.0378 recall@thr=0.5: 0.6147 prec@thr=0.5: 0.6760 recall@top3: 0.7060 prec@top3: 0.6267 recall@top5: 0.9420 prec@top5: 0.5200 loss_action_cls: 0.0378 2023/03/11 00:40:58 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 00:41:11 - mmengine - INFO - Epoch(train) [10][ 960/4451] lr: 2.4276e-06 eta: 9:02:01 time: 0.6744 data_time: 0.0126 memory: 51970 grad_norm: 0.1411 loss: 0.0338 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8986 recall@top3: 0.8768 prec@top3: 0.5362 recall@top5: 0.9565 prec@top5: 0.3652 loss_action_cls: 0.0338 2023/03/11 00:41:24 - mmengine - INFO - Epoch(train) [10][ 980/4451] lr: 2.4265e-06 eta: 9:01:47 time: 0.6612 data_time: 0.0131 memory: 51970 grad_norm: 0.1339 loss: 0.0350 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7381 recall@top3: 0.8095 prec@top3: 0.5000 recall@top5: 0.9048 prec@top5: 0.3429 loss_action_cls: 0.0350 2023/03/11 00:41:37 - mmengine - INFO - Epoch(train) [10][1000/4451] lr: 2.4254e-06 eta: 9:01:32 time: 0.6136 data_time: 0.0125 memory: 51970 grad_norm: 0.1350 loss: 0.0324 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8056 recall@top3: 0.9722 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0324 2023/03/11 00:41:50 - mmengine - INFO - Epoch(train) [10][1020/4451] lr: 2.4243e-06 eta: 9:01:18 time: 0.6599 data_time: 0.0428 memory: 51970 grad_norm: 0.1308 loss: 0.0344 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7917 recall@top3: 0.8750 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.4800 loss_action_cls: 0.0344 2023/03/11 00:42:04 - mmengine - INFO - Epoch(train) [10][1040/4451] lr: 2.4233e-06 eta: 9:01:05 time: 0.6891 data_time: 0.0194 memory: 51970 grad_norm: 0.1297 loss: 0.0390 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8725 recall@top3: 1.0000 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0390 2023/03/11 00:42:16 - mmengine - INFO - Epoch(train) [10][1060/4451] lr: 2.4222e-06 eta: 9:00:50 time: 0.6260 data_time: 0.0119 memory: 51970 grad_norm: 0.1404 loss: 0.0374 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.8292 recall@top3: 0.8333 prec@top3: 0.6667 recall@top5: 0.9083 prec@top5: 0.4400 loss_action_cls: 0.0374 2023/03/11 00:42:31 - mmengine - INFO - Epoch(train) [10][1080/4451] lr: 2.4211e-06 eta: 9:00:38 time: 0.7336 data_time: 0.0614 memory: 51970 grad_norm: 0.1369 loss: 0.0353 recall@thr=0.5: 0.5385 prec@thr=0.5: 0.7179 recall@top3: 0.8397 prec@top3: 0.7051 recall@top5: 0.9615 prec@top5: 0.4923 loss_action_cls: 0.0353 2023/03/11 00:42:42 - mmengine - INFO - Epoch(train) [10][1100/4451] lr: 2.4200e-06 eta: 9:00:22 time: 0.5657 data_time: 0.0119 memory: 51970 grad_norm: 0.1363 loss: 0.0369 recall@thr=0.5: 0.8587 prec@thr=0.5: 0.8261 recall@top3: 0.8804 prec@top3: 0.7246 recall@top5: 0.9130 prec@top5: 0.4609 loss_action_cls: 0.0369 2023/03/11 00:42:57 - mmengine - INFO - Epoch(train) [10][1120/4451] lr: 2.4189e-06 eta: 9:00:10 time: 0.7509 data_time: 0.0130 memory: 51970 grad_norm: 0.1355 loss: 0.0354 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7843 recall@top3: 0.7843 prec@top3: 0.5686 recall@top5: 0.8824 prec@top5: 0.3882 loss_action_cls: 0.0354 2023/03/11 00:43:08 - mmengine - INFO - Epoch(train) [10][1140/4451] lr: 2.4178e-06 eta: 8:59:54 time: 0.5629 data_time: 0.0121 memory: 51970 grad_norm: 0.1261 loss: 0.0361 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7222 recall@top3: 0.8333 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4095 loss_action_cls: 0.0361 2023/03/11 00:43:22 - mmengine - INFO - Epoch(train) [10][1160/4451] lr: 2.4167e-06 eta: 8:59:40 time: 0.6858 data_time: 0.0127 memory: 51970 grad_norm: 0.1318 loss: 0.0382 recall@thr=0.5: 0.6741 prec@thr=0.5: 0.6111 recall@top3: 0.7370 prec@top3: 0.5926 recall@top5: 0.8500 prec@top5: 0.4222 loss_action_cls: 0.0382 2023/03/11 00:43:35 - mmengine - INFO - Epoch(train) [10][1180/4451] lr: 2.4157e-06 eta: 8:59:26 time: 0.6639 data_time: 0.0127 memory: 51970 grad_norm: 0.1357 loss: 0.0342 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8636 recall@top3: 0.8864 prec@top3: 0.7424 recall@top5: 0.9697 prec@top5: 0.5000 loss_action_cls: 0.0342 2023/03/11 00:43:48 - mmengine - INFO - Epoch(train) [10][1200/4451] lr: 2.4146e-06 eta: 8:59:12 time: 0.6494 data_time: 0.0120 memory: 51970 grad_norm: 0.1401 loss: 0.0355 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7647 recall@top3: 0.8529 prec@top3: 0.5686 recall@top5: 0.9314 prec@top5: 0.3882 loss_action_cls: 0.0355 2023/03/11 00:44:01 - mmengine - INFO - Epoch(train) [10][1220/4451] lr: 2.4135e-06 eta: 8:58:58 time: 0.6269 data_time: 0.0134 memory: 51970 grad_norm: 0.1217 loss: 0.0336 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7292 recall@top3: 0.8750 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0336 2023/03/11 00:44:14 - mmengine - INFO - Epoch(train) [10][1240/4451] lr: 2.4124e-06 eta: 8:58:43 time: 0.6328 data_time: 0.0118 memory: 51970 grad_norm: 0.1369 loss: 0.0369 recall@thr=0.5: 0.7341 prec@thr=0.5: 0.8294 recall@top3: 0.8056 prec@top3: 0.7302 recall@top5: 0.9167 prec@top5: 0.5143 loss_action_cls: 0.0369 2023/03/11 00:44:25 - mmengine - INFO - Epoch(train) [10][1260/4451] lr: 2.4113e-06 eta: 8:58:27 time: 0.5891 data_time: 0.0128 memory: 51970 grad_norm: 0.1357 loss: 0.0375 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.7949 recall@top3: 0.8974 prec@top3: 0.6667 recall@top5: 0.9551 prec@top5: 0.4308 loss_action_cls: 0.0375 2023/03/11 00:44:40 - mmengine - INFO - Epoch(train) [10][1280/4451] lr: 2.4102e-06 eta: 8:58:15 time: 0.7279 data_time: 0.0129 memory: 51970 grad_norm: 0.1345 loss: 0.0361 recall@thr=0.5: 0.7778 prec@thr=0.5: 1.0000 recall@top3: 1.0000 prec@top3: 0.6222 recall@top5: 1.0000 prec@top5: 0.3733 loss_action_cls: 0.0361 2023/03/11 00:44:52 - mmengine - INFO - Epoch(train) [10][1300/4451] lr: 2.4091e-06 eta: 8:58:00 time: 0.6027 data_time: 0.0122 memory: 51970 grad_norm: 0.1336 loss: 0.0382 recall@thr=0.5: 0.8551 prec@thr=0.5: 0.9493 recall@top3: 0.9130 prec@top3: 0.7826 recall@top5: 0.9710 prec@top5: 0.5130 loss_action_cls: 0.0382 2023/03/11 00:45:05 - mmengine - INFO - Epoch(train) [10][1320/4451] lr: 2.4080e-06 eta: 8:57:46 time: 0.6663 data_time: 0.0117 memory: 51970 grad_norm: 0.1396 loss: 0.0373 recall@thr=0.5: 0.7933 prec@thr=0.5: 0.8833 recall@top3: 0.8378 prec@top3: 0.6444 recall@top5: 0.9089 prec@top5: 0.4400 loss_action_cls: 0.0373 2023/03/11 00:45:17 - mmengine - INFO - Epoch(train) [10][1340/4451] lr: 2.4069e-06 eta: 8:57:30 time: 0.5672 data_time: 0.0130 memory: 51970 grad_norm: 0.1318 loss: 0.0343 recall@thr=0.5: 0.7510 prec@thr=0.5: 0.7843 recall@top3: 0.9235 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0343 2023/03/11 00:45:31 - mmengine - INFO - Epoch(train) [10][1360/4451] lr: 2.4058e-06 eta: 8:57:17 time: 0.7264 data_time: 0.0126 memory: 51970 grad_norm: 0.1408 loss: 0.0340 recall@thr=0.5: 0.7792 prec@thr=0.5: 0.9250 recall@top3: 0.9333 prec@top3: 0.7500 recall@top5: 0.9333 prec@top5: 0.4500 loss_action_cls: 0.0340 2023/03/11 00:45:44 - mmengine - INFO - Epoch(train) [10][1380/4451] lr: 2.4047e-06 eta: 8:57:03 time: 0.6175 data_time: 0.0132 memory: 51970 grad_norm: 0.1340 loss: 0.0361 recall@thr=0.5: 0.7551 prec@thr=0.5: 0.7986 recall@top3: 0.7877 prec@top3: 0.7246 recall@top5: 0.9217 prec@top5: 0.5043 loss_action_cls: 0.0361 2023/03/11 00:45:58 - mmengine - INFO - Epoch(train) [10][1400/4451] lr: 2.4036e-06 eta: 8:56:50 time: 0.7371 data_time: 0.0126 memory: 51970 grad_norm: 0.1303 loss: 0.0379 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.9474 recall@top3: 0.7412 prec@top3: 0.6491 recall@top5: 0.8728 prec@top5: 0.4947 loss_action_cls: 0.0379 2023/03/11 00:46:11 - mmengine - INFO - Epoch(train) [10][1420/4451] lr: 2.4025e-06 eta: 8:56:35 time: 0.6184 data_time: 0.0133 memory: 51970 grad_norm: 0.1307 loss: 0.0382 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.6574 recall@top3: 0.7546 prec@top3: 0.4630 recall@top5: 0.9722 prec@top5: 0.3556 loss_action_cls: 0.0382 2023/03/11 00:46:24 - mmengine - INFO - Epoch(train) [10][1440/4451] lr: 2.4014e-06 eta: 8:56:21 time: 0.6428 data_time: 0.0117 memory: 51970 grad_norm: 0.1307 loss: 0.0361 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9083 recall@top3: 0.9000 prec@top3: 0.5667 recall@top5: 0.9500 prec@top5: 0.3700 loss_action_cls: 0.0361 2023/03/11 00:46:34 - mmengine - INFO - Epoch(train) [10][1460/4451] lr: 2.4003e-06 eta: 8:56:04 time: 0.5332 data_time: 0.0132 memory: 51970 grad_norm: 0.1406 loss: 0.0350 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7222 recall@top3: 0.8843 prec@top3: 0.5370 recall@top5: 0.9676 prec@top5: 0.3667 loss_action_cls: 0.0350 2023/03/11 00:46:47 - mmengine - INFO - Epoch(train) [10][1480/4451] lr: 2.3992e-06 eta: 8:55:50 time: 0.6614 data_time: 0.0123 memory: 51970 grad_norm: 0.1375 loss: 0.0335 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7870 recall@top3: 0.8241 prec@top3: 0.5741 recall@top5: 0.9537 prec@top5: 0.4222 loss_action_cls: 0.0335 2023/03/11 00:47:00 - mmengine - INFO - Epoch(train) [10][1500/4451] lr: 2.3981e-06 eta: 8:55:36 time: 0.6426 data_time: 0.0133 memory: 51970 grad_norm: 0.1339 loss: 0.0367 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.7754 recall@top3: 0.8478 prec@top3: 0.6377 recall@top5: 0.9420 prec@top5: 0.4261 loss_action_cls: 0.0367 2023/03/11 00:47:13 - mmengine - INFO - Epoch(train) [10][1520/4451] lr: 2.3970e-06 eta: 8:55:21 time: 0.6152 data_time: 0.0120 memory: 51970 grad_norm: 0.1249 loss: 0.0309 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8947 recall@top3: 0.9167 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0309 2023/03/11 00:47:26 - mmengine - INFO - Epoch(train) [10][1540/4451] lr: 2.3959e-06 eta: 8:55:07 time: 0.6642 data_time: 0.0134 memory: 51970 grad_norm: 0.1323 loss: 0.0374 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8667 recall@top3: 0.9667 prec@top3: 0.7111 recall@top5: 0.9667 prec@top5: 0.4267 loss_action_cls: 0.0374 2023/03/11 00:47:38 - mmengine - INFO - Epoch(train) [10][1560/4451] lr: 2.3948e-06 eta: 8:54:52 time: 0.6222 data_time: 0.0130 memory: 51970 grad_norm: 0.1306 loss: 0.0333 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8148 recall@top3: 0.7963 prec@top3: 0.5185 recall@top5: 0.8889 prec@top5: 0.3667 loss_action_cls: 0.0333 2023/03/11 00:47:53 - mmengine - INFO - Epoch(train) [10][1580/4451] lr: 2.3937e-06 eta: 8:54:40 time: 0.7316 data_time: 0.0130 memory: 51970 grad_norm: 0.1346 loss: 0.0334 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.8704 recall@top3: 0.8102 prec@top3: 0.6852 recall@top5: 0.9120 prec@top5: 0.4778 loss_action_cls: 0.0334 2023/03/11 00:48:05 - mmengine - INFO - Epoch(train) [10][1600/4451] lr: 2.3926e-06 eta: 8:54:25 time: 0.6011 data_time: 0.0118 memory: 51970 grad_norm: 0.1297 loss: 0.0346 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7396 recall@top3: 0.8958 prec@top3: 0.5417 recall@top5: 0.9167 prec@top5: 0.3375 loss_action_cls: 0.0346 2023/03/11 00:48:17 - mmengine - INFO - Epoch(train) [10][1620/4451] lr: 2.3915e-06 eta: 8:54:10 time: 0.6169 data_time: 0.0128 memory: 51970 grad_norm: 0.1308 loss: 0.0338 recall@thr=0.5: 0.4554 prec@thr=0.5: 0.5323 recall@top3: 0.6892 prec@top3: 0.5054 recall@top5: 0.8097 prec@top5: 0.3806 loss_action_cls: 0.0338 2023/03/11 00:48:31 - mmengine - INFO - Epoch(train) [10][1640/4451] lr: 2.3904e-06 eta: 8:53:57 time: 0.6960 data_time: 0.0138 memory: 51970 grad_norm: 0.1325 loss: 0.0387 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6750 recall@top3: 0.8083 prec@top3: 0.6167 recall@top5: 0.9167 prec@top5: 0.4300 loss_action_cls: 0.0387 2023/03/11 00:48:43 - mmengine - INFO - Epoch(train) [10][1660/4451] lr: 2.3893e-06 eta: 8:53:42 time: 0.5949 data_time: 0.0131 memory: 51970 grad_norm: 0.1343 loss: 0.0332 recall@thr=0.5: 0.7660 prec@thr=0.5: 0.8718 recall@top3: 0.8397 prec@top3: 0.7692 recall@top5: 0.9583 prec@top5: 0.5538 loss_action_cls: 0.0332 2023/03/11 00:48:56 - mmengine - INFO - Epoch(train) [10][1680/4451] lr: 2.3882e-06 eta: 8:53:28 time: 0.6635 data_time: 0.0122 memory: 51970 grad_norm: 0.1339 loss: 0.0360 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7833 recall@top3: 0.9333 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0360 2023/03/11 00:49:09 - mmengine - INFO - Epoch(train) [10][1700/4451] lr: 2.3871e-06 eta: 8:53:13 time: 0.6297 data_time: 0.0143 memory: 51970 grad_norm: 0.1374 loss: 0.0386 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.7963 recall@top3: 0.8102 prec@top3: 0.4815 recall@top5: 0.9491 prec@top5: 0.3667 loss_action_cls: 0.0386 2023/03/11 00:49:23 - mmengine - INFO - Epoch(train) [10][1720/4451] lr: 2.3860e-06 eta: 8:53:00 time: 0.6958 data_time: 0.0137 memory: 51970 grad_norm: 0.1296 loss: 0.0345 recall@thr=0.5: 0.6275 prec@thr=0.5: 0.7843 recall@top3: 0.8725 prec@top3: 0.6275 recall@top5: 0.9363 prec@top5: 0.4118 loss_action_cls: 0.0345 2023/03/11 00:49:38 - mmengine - INFO - Epoch(train) [10][1740/4451] lr: 2.3849e-06 eta: 8:52:48 time: 0.7511 data_time: 0.0121 memory: 51970 grad_norm: 0.1435 loss: 0.0345 recall@thr=0.5: 0.6528 prec@thr=0.5: 0.7708 recall@top3: 0.7708 prec@top3: 0.5417 recall@top5: 0.9062 prec@top5: 0.3833 loss_action_cls: 0.0345 2023/03/11 00:49:51 - mmengine - INFO - Epoch(train) [10][1760/4451] lr: 2.3837e-06 eta: 8:52:34 time: 0.6316 data_time: 0.0123 memory: 51970 grad_norm: 0.1303 loss: 0.0355 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6719 recall@top3: 0.8333 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0355 2023/03/11 00:50:04 - mmengine - INFO - Epoch(train) [10][1780/4451] lr: 2.3826e-06 eta: 8:52:20 time: 0.6835 data_time: 0.0130 memory: 51970 grad_norm: 0.1368 loss: 0.0334 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8611 recall@top3: 0.8611 prec@top3: 0.5926 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0334 2023/03/11 00:50:17 - mmengine - INFO - Epoch(train) [10][1800/4451] lr: 2.3815e-06 eta: 8:52:05 time: 0.6085 data_time: 0.0124 memory: 51970 grad_norm: 0.1327 loss: 0.0385 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7250 recall@top3: 0.8583 prec@top3: 0.6000 recall@top5: 0.8583 prec@top5: 0.3600 loss_action_cls: 0.0385 2023/03/11 00:50:31 - mmengine - INFO - Epoch(train) [10][1820/4451] lr: 2.3804e-06 eta: 8:51:52 time: 0.7020 data_time: 0.0135 memory: 51970 grad_norm: 0.1346 loss: 0.0317 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.8725 recall@top3: 0.8922 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0317 2023/03/11 00:50:43 - mmengine - INFO - Epoch(train) [10][1840/4451] lr: 2.3793e-06 eta: 8:51:37 time: 0.5998 data_time: 0.0206 memory: 51970 grad_norm: 0.1353 loss: 0.0394 recall@thr=0.5: 0.5267 prec@thr=0.5: 0.5800 recall@top3: 0.7100 prec@top3: 0.4667 recall@top5: 0.8833 prec@top5: 0.3600 loss_action_cls: 0.0394 2023/03/11 00:50:56 - mmengine - INFO - Epoch(train) [10][1860/4451] lr: 2.3782e-06 eta: 8:51:23 time: 0.6813 data_time: 0.0122 memory: 51970 grad_norm: 0.1293 loss: 0.0342 recall@thr=0.5: 0.5747 prec@thr=0.5: 0.7069 recall@top3: 0.7328 prec@top3: 0.6092 recall@top5: 0.9253 prec@top5: 0.4759 loss_action_cls: 0.0342 2023/03/11 00:51:08 - mmengine - INFO - Epoch(train) [10][1880/4451] lr: 2.3771e-06 eta: 8:51:08 time: 0.5911 data_time: 0.0127 memory: 51970 grad_norm: 0.1389 loss: 0.0342 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7143 recall@top3: 0.7143 prec@top3: 0.7048 recall@top5: 0.8905 prec@top5: 0.5371 loss_action_cls: 0.0342 2023/03/11 00:51:21 - mmengine - INFO - Epoch(train) [10][1900/4451] lr: 2.3759e-06 eta: 8:50:54 time: 0.6720 data_time: 0.0128 memory: 51970 grad_norm: 0.1368 loss: 0.0411 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6435 recall@top3: 0.6812 prec@top3: 0.6232 recall@top5: 0.8732 prec@top5: 0.5043 loss_action_cls: 0.0411 2023/03/11 00:51:33 - mmengine - INFO - Epoch(train) [10][1920/4451] lr: 2.3748e-06 eta: 8:50:39 time: 0.5981 data_time: 0.0124 memory: 51970 grad_norm: 0.1350 loss: 0.0341 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.9583 recall@top3: 0.8500 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0341 2023/03/11 00:51:46 - mmengine - INFO - Epoch(train) [10][1940/4451] lr: 2.3737e-06 eta: 8:50:25 time: 0.6385 data_time: 0.0130 memory: 51970 grad_norm: 0.1348 loss: 0.0364 recall@thr=0.5: 0.6022 prec@thr=0.5: 0.6989 recall@top3: 0.6828 prec@top3: 0.6237 recall@top5: 0.8710 prec@top5: 0.4903 loss_action_cls: 0.0364 2023/03/11 00:51:47 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 00:52:01 - mmengine - INFO - Epoch(train) [10][1960/4451] lr: 2.3726e-06 eta: 8:50:12 time: 0.7204 data_time: 0.0117 memory: 51970 grad_norm: 0.1284 loss: 0.0366 recall@thr=0.5: 0.5404 prec@thr=0.5: 0.6162 recall@top3: 0.7652 prec@top3: 0.4545 recall@top5: 0.8788 prec@top5: 0.3333 loss_action_cls: 0.0366 2023/03/11 00:52:13 - mmengine - INFO - Epoch(train) [10][1980/4451] lr: 2.3715e-06 eta: 8:49:57 time: 0.6184 data_time: 0.0128 memory: 51970 grad_norm: 0.1291 loss: 0.0379 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8889 recall@top3: 0.7708 prec@top3: 0.6528 recall@top5: 0.9792 prec@top5: 0.5167 loss_action_cls: 0.0379 2023/03/11 00:52:27 - mmengine - INFO - Epoch(train) [10][2000/4451] lr: 2.3703e-06 eta: 8:49:44 time: 0.7139 data_time: 0.0137 memory: 51970 grad_norm: 0.1304 loss: 0.0351 recall@thr=0.5: 0.6909 prec@thr=0.5: 0.6882 recall@top3: 0.8172 prec@top3: 0.6452 recall@top5: 0.9758 prec@top5: 0.4645 loss_action_cls: 0.0351 2023/03/11 00:52:39 - mmengine - INFO - Epoch(train) [10][2020/4451] lr: 2.3692e-06 eta: 8:49:29 time: 0.5855 data_time: 0.0130 memory: 51970 grad_norm: 0.1452 loss: 0.0351 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6667 recall@top3: 0.9167 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0351 2023/03/11 00:52:53 - mmengine - INFO - Epoch(train) [10][2040/4451] lr: 2.3681e-06 eta: 8:49:16 time: 0.6972 data_time: 0.0127 memory: 51970 grad_norm: 0.1284 loss: 0.0314 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.7500 recall@top3: 0.8556 prec@top3: 0.6528 recall@top5: 1.0000 prec@top5: 0.4917 loss_action_cls: 0.0314 2023/03/11 00:53:06 - mmengine - INFO - Epoch(train) [10][2060/4451] lr: 2.3670e-06 eta: 8:49:02 time: 0.6488 data_time: 0.0127 memory: 51970 grad_norm: 0.1313 loss: 0.0364 recall@thr=0.5: 0.5609 prec@thr=0.5: 0.8205 recall@top3: 0.8013 prec@top3: 0.7949 recall@top5: 0.9263 prec@top5: 0.5538 loss_action_cls: 0.0364 2023/03/11 00:53:19 - mmengine - INFO - Epoch(train) [10][2080/4451] lr: 2.3658e-06 eta: 8:48:48 time: 0.6643 data_time: 0.0126 memory: 51970 grad_norm: 0.1329 loss: 0.0292 recall@thr=0.5: 0.8886 prec@thr=0.5: 0.9175 recall@top3: 0.9000 prec@top3: 0.8596 recall@top5: 0.9868 prec@top5: 0.5895 loss_action_cls: 0.0292 2023/03/11 00:53:32 - mmengine - INFO - Epoch(train) [10][2100/4451] lr: 2.3647e-06 eta: 8:48:34 time: 0.6546 data_time: 0.0176 memory: 51970 grad_norm: 0.1287 loss: 0.0333 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.8509 recall@top3: 0.9825 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0333 2023/03/11 00:53:44 - mmengine - INFO - Epoch(train) [10][2120/4451] lr: 2.3636e-06 eta: 8:48:18 time: 0.5923 data_time: 0.0124 memory: 51970 grad_norm: 0.1315 loss: 0.0369 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6667 recall@top3: 0.8571 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0369 2023/03/11 00:53:58 - mmengine - INFO - Epoch(train) [10][2140/4451] lr: 2.3625e-06 eta: 8:48:05 time: 0.7072 data_time: 0.0159 memory: 51970 grad_norm: 0.1329 loss: 0.0392 recall@thr=0.5: 0.7175 prec@thr=0.5: 0.7857 recall@top3: 0.8143 prec@top3: 0.6825 recall@top5: 0.9127 prec@top5: 0.4857 loss_action_cls: 0.0392 2023/03/11 00:54:11 - mmengine - INFO - Epoch(train) [10][2160/4451] lr: 2.3613e-06 eta: 8:47:51 time: 0.6411 data_time: 0.0124 memory: 51970 grad_norm: 0.1303 loss: 0.0332 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8036 recall@top3: 0.8690 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0332 2023/03/11 00:54:25 - mmengine - INFO - Epoch(train) [10][2180/4451] lr: 2.3602e-06 eta: 8:47:38 time: 0.6801 data_time: 0.0140 memory: 51970 grad_norm: 0.1385 loss: 0.0365 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6471 recall@top3: 0.7549 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.4353 loss_action_cls: 0.0365 2023/03/11 00:54:37 - mmengine - INFO - Epoch(train) [10][2200/4451] lr: 2.3591e-06 eta: 8:47:23 time: 0.6135 data_time: 0.0129 memory: 51970 grad_norm: 0.1411 loss: 0.0350 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7746 recall@top3: 0.8413 prec@top3: 0.7143 recall@top5: 0.9524 prec@top5: 0.4857 loss_action_cls: 0.0350 2023/03/11 00:54:50 - mmengine - INFO - Epoch(train) [10][2220/4451] lr: 2.3580e-06 eta: 8:47:09 time: 0.6515 data_time: 0.0138 memory: 51970 grad_norm: 0.1275 loss: 0.0349 recall@thr=0.5: 0.7674 prec@thr=0.5: 0.7986 recall@top3: 0.8924 prec@top3: 0.8472 recall@top5: 0.9896 prec@top5: 0.5750 loss_action_cls: 0.0349 2023/03/11 00:55:03 - mmengine - INFO - Epoch(train) [10][2240/4451] lr: 2.3568e-06 eta: 8:46:54 time: 0.6304 data_time: 0.0111 memory: 51970 grad_norm: 0.1266 loss: 0.0376 recall@thr=0.5: 0.6864 prec@thr=0.5: 0.6818 recall@top3: 0.8955 prec@top3: 0.6818 recall@top5: 0.9515 prec@top5: 0.4545 loss_action_cls: 0.0376 2023/03/11 00:55:16 - mmengine - INFO - Epoch(train) [10][2260/4451] lr: 2.3557e-06 eta: 8:46:41 time: 0.6810 data_time: 0.0132 memory: 51970 grad_norm: 0.1360 loss: 0.0396 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7719 recall@top3: 0.8860 prec@top3: 0.7544 recall@top5: 0.9561 prec@top5: 0.4947 loss_action_cls: 0.0396 2023/03/11 00:55:28 - mmengine - INFO - Epoch(train) [10][2280/4451] lr: 2.3546e-06 eta: 8:46:25 time: 0.5924 data_time: 0.0122 memory: 51970 grad_norm: 0.1287 loss: 0.0382 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6319 recall@top3: 0.7778 prec@top3: 0.6528 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0382 2023/03/11 00:55:43 - mmengine - INFO - Epoch(train) [10][2300/4451] lr: 2.3534e-06 eta: 8:46:13 time: 0.7504 data_time: 0.0130 memory: 51970 grad_norm: 0.1329 loss: 0.0336 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8750 recall@top3: 0.8750 prec@top3: 0.5833 recall@top5: 0.9531 prec@top5: 0.4000 loss_action_cls: 0.0336 2023/03/11 00:55:57 - mmengine - INFO - Epoch(train) [10][2320/4451] lr: 2.3523e-06 eta: 8:46:00 time: 0.6881 data_time: 0.0678 memory: 51970 grad_norm: 0.1360 loss: 0.0368 recall@thr=0.5: 0.6647 prec@thr=0.5: 0.7740 recall@top3: 0.7620 prec@top3: 0.6667 recall@top5: 0.9147 prec@top5: 0.5040 loss_action_cls: 0.0368 2023/03/11 00:56:11 - mmengine - INFO - Epoch(train) [10][2340/4451] lr: 2.3512e-06 eta: 8:45:47 time: 0.7169 data_time: 0.0531 memory: 51970 grad_norm: 0.1297 loss: 0.0334 recall@thr=0.5: 0.5522 prec@thr=0.5: 0.5833 recall@top3: 0.8856 prec@top3: 0.6889 recall@top5: 0.9122 prec@top5: 0.4400 loss_action_cls: 0.0334 2023/03/11 00:56:23 - mmengine - INFO - Epoch(train) [10][2360/4451] lr: 2.3500e-06 eta: 8:45:32 time: 0.5990 data_time: 0.1311 memory: 51970 grad_norm: 0.1325 loss: 0.0359 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.6442 recall@top3: 0.7724 prec@top3: 0.6154 recall@top5: 0.8718 prec@top5: 0.4308 loss_action_cls: 0.0359 2023/03/11 00:56:37 - mmengine - INFO - Epoch(train) [10][2380/4451] lr: 2.3489e-06 eta: 8:45:19 time: 0.7074 data_time: 0.0615 memory: 51970 grad_norm: 0.1348 loss: 0.0315 recall@thr=0.5: 0.8587 prec@thr=0.5: 0.7630 recall@top3: 0.9783 prec@top3: 0.7681 recall@top5: 1.0000 prec@top5: 0.4783 loss_action_cls: 0.0315 2023/03/11 00:56:50 - mmengine - INFO - Epoch(train) [10][2400/4451] lr: 2.3478e-06 eta: 8:45:05 time: 0.6198 data_time: 0.0139 memory: 51970 grad_norm: 0.1317 loss: 0.0351 recall@thr=0.5: 0.5159 prec@thr=0.5: 0.5317 recall@top3: 0.6349 prec@top3: 0.4127 recall@top5: 0.8016 prec@top5: 0.3238 loss_action_cls: 0.0351 2023/03/11 00:57:05 - mmengine - INFO - Epoch(train) [10][2420/4451] lr: 2.3466e-06 eta: 8:44:53 time: 0.7476 data_time: 0.0123 memory: 51970 grad_norm: 0.1290 loss: 0.0366 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.7659 recall@top3: 0.8968 prec@top3: 0.7143 recall@top5: 0.9683 prec@top5: 0.4571 loss_action_cls: 0.0366 2023/03/11 00:57:18 - mmengine - INFO - Epoch(train) [10][2440/4451] lr: 2.3455e-06 eta: 8:44:38 time: 0.6415 data_time: 0.0123 memory: 51970 grad_norm: 0.1350 loss: 0.0343 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6429 recall@top3: 0.8452 prec@top3: 0.5952 recall@top5: 0.9286 prec@top5: 0.4000 loss_action_cls: 0.0343 2023/03/11 00:57:31 - mmengine - INFO - Epoch(train) [10][2460/4451] lr: 2.3443e-06 eta: 8:44:25 time: 0.6776 data_time: 0.0123 memory: 51970 grad_norm: 0.1401 loss: 0.0370 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7619 recall@top3: 0.8730 prec@top3: 0.7143 recall@top5: 0.9405 prec@top5: 0.4762 loss_action_cls: 0.0370 2023/03/11 00:57:44 - mmengine - INFO - Epoch(train) [10][2480/4451] lr: 2.3432e-06 eta: 8:44:10 time: 0.6261 data_time: 0.0122 memory: 51970 grad_norm: 0.1339 loss: 0.0334 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6000 recall@top3: 0.8167 prec@top3: 0.5667 recall@top5: 0.9500 prec@top5: 0.3800 loss_action_cls: 0.0334 2023/03/11 00:57:58 - mmengine - INFO - Epoch(train) [10][2500/4451] lr: 2.3421e-06 eta: 8:43:58 time: 0.7403 data_time: 0.0122 memory: 51970 grad_norm: 0.1361 loss: 0.0360 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8417 recall@top3: 0.9125 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0360 2023/03/11 00:58:10 - mmengine - INFO - Epoch(train) [10][2520/4451] lr: 2.3409e-06 eta: 8:43:43 time: 0.5902 data_time: 0.0130 memory: 51970 grad_norm: 0.1421 loss: 0.0363 recall@thr=0.5: 0.4063 prec@thr=0.5: 0.6270 recall@top3: 0.6405 prec@top3: 0.5873 recall@top5: 0.8151 prec@top5: 0.4857 loss_action_cls: 0.0363 2023/03/11 00:58:23 - mmengine - INFO - Epoch(train) [10][2540/4451] lr: 2.3398e-06 eta: 8:43:28 time: 0.6381 data_time: 0.0118 memory: 51970 grad_norm: 0.1352 loss: 0.0330 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.7833 recall@top3: 0.8917 prec@top3: 0.7833 recall@top5: 0.9750 prec@top5: 0.5200 loss_action_cls: 0.0330 2023/03/11 00:58:35 - mmengine - INFO - Epoch(train) [10][2560/4451] lr: 2.3386e-06 eta: 8:43:13 time: 0.6207 data_time: 0.0131 memory: 51970 grad_norm: 0.1331 loss: 0.0361 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8056 recall@top3: 0.8704 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4556 loss_action_cls: 0.0361 2023/03/11 00:58:50 - mmengine - INFO - Epoch(train) [10][2580/4451] lr: 2.3375e-06 eta: 8:43:01 time: 0.7037 data_time: 0.0121 memory: 51970 grad_norm: 0.1323 loss: 0.0348 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7396 recall@top3: 0.8229 prec@top3: 0.6042 recall@top5: 0.9583 prec@top5: 0.4250 loss_action_cls: 0.0348 2023/03/11 00:59:02 - mmengine - INFO - Epoch(train) [10][2600/4451] lr: 2.3363e-06 eta: 8:42:45 time: 0.6005 data_time: 0.0142 memory: 51970 grad_norm: 0.1333 loss: 0.0308 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8000 recall@top3: 0.9000 prec@top3: 0.7111 recall@top5: 0.9333 prec@top5: 0.4533 loss_action_cls: 0.0308 2023/03/11 00:59:15 - mmengine - INFO - Epoch(train) [10][2620/4451] lr: 2.3352e-06 eta: 8:42:32 time: 0.6838 data_time: 0.0133 memory: 51970 grad_norm: 0.1354 loss: 0.0350 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.8417 recall@top3: 0.8417 prec@top3: 0.6500 recall@top5: 0.9083 prec@top5: 0.4200 loss_action_cls: 0.0350 2023/03/11 00:59:27 - mmengine - INFO - Epoch(train) [10][2640/4451] lr: 2.3341e-06 eta: 8:42:16 time: 0.5748 data_time: 0.0130 memory: 51970 grad_norm: 0.1361 loss: 0.0351 recall@thr=0.5: 0.8026 prec@thr=0.5: 0.8167 recall@top3: 0.8377 prec@top3: 0.5965 recall@top5: 0.9474 prec@top5: 0.4211 loss_action_cls: 0.0351 2023/03/11 00:59:41 - mmengine - INFO - Epoch(train) [10][2660/4451] lr: 2.3329e-06 eta: 8:42:03 time: 0.6959 data_time: 0.0131 memory: 51970 grad_norm: 0.1346 loss: 0.0337 recall@thr=0.5: 0.6486 prec@thr=0.5: 0.6391 recall@top3: 0.7935 prec@top3: 0.5942 recall@top5: 0.9348 prec@top5: 0.4348 loss_action_cls: 0.0337 2023/03/11 00:59:53 - mmengine - INFO - Epoch(train) [10][2680/4451] lr: 2.3318e-06 eta: 8:41:49 time: 0.6376 data_time: 0.0124 memory: 51970 grad_norm: 0.1311 loss: 0.0361 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.7833 recall@top3: 0.7500 prec@top3: 0.6667 recall@top5: 0.8913 prec@top5: 0.4783 loss_action_cls: 0.0361 2023/03/11 01:00:08 - mmengine - INFO - Epoch(train) [10][2700/4451] lr: 2.3306e-06 eta: 8:41:36 time: 0.7348 data_time: 0.0128 memory: 51970 grad_norm: 0.1306 loss: 0.0367 recall@thr=0.5: 0.6048 prec@thr=0.5: 0.7679 recall@top3: 0.7512 prec@top3: 0.6429 recall@top5: 0.9167 prec@top5: 0.4857 loss_action_cls: 0.0367 2023/03/11 01:00:20 - mmengine - INFO - Epoch(train) [10][2720/4451] lr: 2.3295e-06 eta: 8:41:21 time: 0.5845 data_time: 0.0130 memory: 51970 grad_norm: 0.1310 loss: 0.0375 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7889 recall@top3: 0.6528 prec@top3: 0.6389 recall@top5: 0.9410 prec@top5: 0.5750 loss_action_cls: 0.0375 2023/03/11 01:00:33 - mmengine - INFO - Epoch(train) [10][2740/4451] lr: 2.3283e-06 eta: 8:41:07 time: 0.6646 data_time: 0.0137 memory: 51970 grad_norm: 0.1334 loss: 0.0331 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.7333 recall@top3: 0.7600 prec@top3: 0.5867 recall@top5: 0.9200 prec@top5: 0.4400 loss_action_cls: 0.0331 2023/03/11 01:00:46 - mmengine - INFO - Epoch(train) [10][2760/4451] lr: 2.3272e-06 eta: 8:40:53 time: 0.6697 data_time: 0.0126 memory: 51970 grad_norm: 0.1303 loss: 0.0308 recall@thr=0.5: 0.8409 prec@thr=0.5: 0.8409 recall@top3: 0.8750 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0308 2023/03/11 01:00:59 - mmengine - INFO - Epoch(train) [10][2780/4451] lr: 2.3260e-06 eta: 8:40:39 time: 0.6107 data_time: 0.0131 memory: 51970 grad_norm: 0.1362 loss: 0.0335 recall@thr=0.5: 0.5413 prec@thr=0.5: 0.6508 recall@top3: 0.6563 prec@top3: 0.6349 recall@top5: 0.9135 prec@top5: 0.5238 loss_action_cls: 0.0335 2023/03/11 01:01:11 - mmengine - INFO - Epoch(train) [10][2800/4451] lr: 2.3249e-06 eta: 8:40:24 time: 0.6400 data_time: 0.0136 memory: 51970 grad_norm: 0.1342 loss: 0.0313 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8889 recall@top3: 1.0000 prec@top3: 0.5185 recall@top5: 1.0000 prec@top5: 0.3111 loss_action_cls: 0.0313 2023/03/11 01:01:25 - mmengine - INFO - Epoch(train) [10][2820/4451] lr: 2.3237e-06 eta: 8:40:11 time: 0.6813 data_time: 0.0129 memory: 51970 grad_norm: 0.1380 loss: 0.0338 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6533 recall@top3: 0.7367 prec@top3: 0.5867 recall@top5: 0.8233 prec@top5: 0.4080 loss_action_cls: 0.0338 2023/03/11 01:01:37 - mmengine - INFO - Epoch(train) [10][2840/4451] lr: 2.3226e-06 eta: 8:39:56 time: 0.6172 data_time: 0.0128 memory: 51970 grad_norm: 0.1328 loss: 0.0386 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6728 recall@top3: 0.6895 prec@top3: 0.6420 recall@top5: 0.8772 prec@top5: 0.4963 loss_action_cls: 0.0386 2023/03/11 01:01:52 - mmengine - INFO - Epoch(train) [10][2860/4451] lr: 2.3214e-06 eta: 8:39:43 time: 0.7086 data_time: 0.0125 memory: 51970 grad_norm: 0.1273 loss: 0.0323 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5312 recall@top3: 0.7396 prec@top3: 0.5208 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0323 2023/03/11 01:02:05 - mmengine - INFO - Epoch(train) [10][2880/4451] lr: 2.3202e-06 eta: 8:39:29 time: 0.6685 data_time: 0.0135 memory: 51970 grad_norm: 0.1402 loss: 0.0354 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8359 recall@top3: 0.8568 prec@top3: 0.6562 recall@top5: 0.9688 prec@top5: 0.4562 loss_action_cls: 0.0354 2023/03/11 01:02:19 - mmengine - INFO - Epoch(train) [10][2900/4451] lr: 2.3191e-06 eta: 8:39:16 time: 0.7011 data_time: 0.0124 memory: 51970 grad_norm: 0.1268 loss: 0.0344 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7381 recall@top3: 0.8452 prec@top3: 0.7381 recall@top5: 0.9643 prec@top5: 0.5143 loss_action_cls: 0.0344 2023/03/11 01:02:31 - mmengine - INFO - Epoch(train) [10][2920/4451] lr: 2.3179e-06 eta: 8:39:02 time: 0.6211 data_time: 0.0130 memory: 51970 grad_norm: 0.1419 loss: 0.0338 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.6716 recall@top3: 0.7255 prec@top3: 0.6863 recall@top5: 0.8971 prec@top5: 0.5294 loss_action_cls: 0.0338 2023/03/11 01:02:45 - mmengine - INFO - Epoch(train) [10][2940/4451] lr: 2.3168e-06 eta: 8:38:48 time: 0.6530 data_time: 0.0128 memory: 51970 grad_norm: 0.1316 loss: 0.0316 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.6944 recall@top3: 0.7731 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0316 2023/03/11 01:02:45 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 01:02:58 - mmengine - INFO - Epoch(train) [10][2960/4451] lr: 2.3156e-06 eta: 8:38:34 time: 0.6552 data_time: 0.0130 memory: 51970 grad_norm: 0.1333 loss: 0.0344 recall@thr=0.5: 0.5944 prec@thr=0.5: 0.6000 recall@top3: 0.8250 prec@top3: 0.5667 recall@top5: 0.9222 prec@top5: 0.4000 loss_action_cls: 0.0344 2023/03/11 01:03:10 - mmengine - INFO - Epoch(train) [10][2980/4451] lr: 2.3145e-06 eta: 8:38:19 time: 0.6290 data_time: 0.0127 memory: 51970 grad_norm: 0.1278 loss: 0.0344 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.9375 recall@top3: 0.8125 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.5125 loss_action_cls: 0.0344 2023/03/11 01:03:24 - mmengine - INFO - Epoch(train) [10][3000/4451] lr: 2.3133e-06 eta: 8:38:06 time: 0.6718 data_time: 0.0127 memory: 51970 grad_norm: 0.1283 loss: 0.0304 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8070 recall@top3: 0.8377 prec@top3: 0.6667 recall@top5: 0.9474 prec@top5: 0.4737 loss_action_cls: 0.0304 2023/03/11 01:03:36 - mmengine - INFO - Epoch(train) [10][3020/4451] lr: 2.3121e-06 eta: 8:37:51 time: 0.6242 data_time: 0.0143 memory: 51970 grad_norm: 0.1350 loss: 0.0377 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7193 recall@top3: 0.7544 prec@top3: 0.5439 recall@top5: 0.9211 prec@top5: 0.4211 loss_action_cls: 0.0377 2023/03/11 01:03:48 - mmengine - INFO - Epoch(train) [10][3040/4451] lr: 2.3110e-06 eta: 8:37:36 time: 0.5942 data_time: 0.0130 memory: 51970 grad_norm: 0.1326 loss: 0.0374 recall@thr=0.5: 0.6042 prec@thr=0.5: 0.6285 recall@top3: 0.8125 prec@top3: 0.4306 recall@top5: 0.8958 prec@top5: 0.2917 loss_action_cls: 0.0374 2023/03/11 01:04:01 - mmengine - INFO - Epoch(train) [10][3060/4451] lr: 2.3098e-06 eta: 8:37:22 time: 0.6667 data_time: 0.0133 memory: 51970 grad_norm: 0.1320 loss: 0.0356 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.7368 recall@top3: 0.7368 prec@top3: 0.5263 recall@top5: 0.8421 prec@top5: 0.3684 loss_action_cls: 0.0356 2023/03/11 01:04:14 - mmengine - INFO - Epoch(train) [10][3080/4451] lr: 2.3087e-06 eta: 8:37:08 time: 0.6482 data_time: 0.0124 memory: 51970 grad_norm: 0.1274 loss: 0.0348 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.8651 recall@top3: 0.8651 prec@top3: 0.5397 recall@top5: 0.9365 prec@top5: 0.3524 loss_action_cls: 0.0348 2023/03/11 01:04:27 - mmengine - INFO - Epoch(train) [10][3100/4451] lr: 2.3075e-06 eta: 8:36:53 time: 0.6347 data_time: 0.0127 memory: 51970 grad_norm: 0.1270 loss: 0.0338 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7222 recall@top3: 0.9286 prec@top3: 0.6032 recall@top5: 0.9762 prec@top5: 0.3714 loss_action_cls: 0.0338 2023/03/11 01:04:41 - mmengine - INFO - Epoch(train) [10][3120/4451] lr: 2.3063e-06 eta: 8:36:40 time: 0.6913 data_time: 0.0139 memory: 51970 grad_norm: 0.1262 loss: 0.0351 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8480 recall@top3: 0.9216 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0351 2023/03/11 01:04:55 - mmengine - INFO - Epoch(train) [10][3140/4451] lr: 2.3052e-06 eta: 8:36:27 time: 0.6995 data_time: 0.0117 memory: 51970 grad_norm: 0.1340 loss: 0.0334 recall@thr=0.5: 0.9583 prec@thr=0.5: 0.9375 recall@top3: 0.9583 prec@top3: 0.7292 recall@top5: 0.9792 prec@top5: 0.4500 loss_action_cls: 0.0334 2023/03/11 01:05:07 - mmengine - INFO - Epoch(train) [10][3160/4451] lr: 2.3040e-06 eta: 8:36:12 time: 0.6190 data_time: 0.0145 memory: 51970 grad_norm: 0.1357 loss: 0.0401 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.7614 recall@top3: 0.8864 prec@top3: 0.5455 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0401 2023/03/11 01:05:22 - mmengine - INFO - Epoch(train) [10][3180/4451] lr: 2.3028e-06 eta: 8:36:00 time: 0.7140 data_time: 0.0112 memory: 51970 grad_norm: 0.1305 loss: 0.0335 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.7778 recall@top3: 0.9074 prec@top3: 0.6111 recall@top5: 0.9444 prec@top5: 0.3889 loss_action_cls: 0.0335 2023/03/11 01:05:34 - mmengine - INFO - Epoch(train) [10][3200/4451] lr: 2.3017e-06 eta: 8:35:45 time: 0.6033 data_time: 0.0160 memory: 51970 grad_norm: 0.1387 loss: 0.0357 recall@thr=0.5: 0.6716 prec@thr=0.5: 0.6275 recall@top3: 0.7745 prec@top3: 0.5686 recall@top5: 0.8627 prec@top5: 0.4000 loss_action_cls: 0.0357 2023/03/11 01:05:47 - mmengine - INFO - Epoch(train) [10][3220/4451] lr: 2.3005e-06 eta: 8:35:31 time: 0.6942 data_time: 0.0407 memory: 51970 grad_norm: 0.1301 loss: 0.0372 recall@thr=0.5: 0.7067 prec@thr=0.5: 0.7800 recall@top3: 0.8400 prec@top3: 0.6533 recall@top5: 0.9900 prec@top5: 0.4640 loss_action_cls: 0.0372 2023/03/11 01:06:00 - mmengine - INFO - Epoch(train) [10][3240/4451] lr: 2.2993e-06 eta: 8:35:17 time: 0.6103 data_time: 0.1002 memory: 51970 grad_norm: 0.1379 loss: 0.0314 recall@thr=0.5: 0.7397 prec@thr=0.5: 0.7952 recall@top3: 0.8190 prec@top3: 0.7937 recall@top5: 0.9730 prec@top5: 0.5905 loss_action_cls: 0.0314 2023/03/11 01:06:13 - mmengine - INFO - Epoch(train) [10][3260/4451] lr: 2.2982e-06 eta: 8:35:03 time: 0.6821 data_time: 0.0235 memory: 51970 grad_norm: 0.1380 loss: 0.0372 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.7853 recall@top3: 0.8718 prec@top3: 0.5897 recall@top5: 0.9135 prec@top5: 0.3769 loss_action_cls: 0.0372 2023/03/11 01:06:25 - mmengine - INFO - Epoch(train) [10][3280/4451] lr: 2.2970e-06 eta: 8:34:48 time: 0.6041 data_time: 0.0135 memory: 51970 grad_norm: 0.1319 loss: 0.0376 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9722 recall@top3: 0.9792 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4167 loss_action_cls: 0.0376 2023/03/11 01:06:39 - mmengine - INFO - Epoch(train) [10][3300/4451] lr: 2.2958e-06 eta: 8:34:34 time: 0.6562 data_time: 0.0115 memory: 51970 grad_norm: 0.1357 loss: 0.0332 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7167 recall@top3: 0.7667 prec@top3: 0.6333 recall@top5: 0.9583 prec@top5: 0.4700 loss_action_cls: 0.0332 2023/03/11 01:06:51 - mmengine - INFO - Epoch(train) [10][3320/4451] lr: 2.2947e-06 eta: 8:34:20 time: 0.6443 data_time: 0.0143 memory: 51970 grad_norm: 0.1408 loss: 0.0298 recall@thr=0.5: 0.8382 prec@thr=0.5: 0.9412 recall@top3: 0.8922 prec@top3: 0.8431 recall@top5: 0.9706 prec@top5: 0.5647 loss_action_cls: 0.0298 2023/03/11 01:07:04 - mmengine - INFO - Epoch(train) [10][3340/4451] lr: 2.2935e-06 eta: 8:34:06 time: 0.6434 data_time: 0.0119 memory: 51970 grad_norm: 0.1326 loss: 0.0329 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.6429 recall@top3: 0.8452 prec@top3: 0.5714 recall@top5: 0.8929 prec@top5: 0.3714 loss_action_cls: 0.0329 2023/03/11 01:07:16 - mmengine - INFO - Epoch(train) [10][3360/4451] lr: 2.2923e-06 eta: 8:33:50 time: 0.5806 data_time: 0.0138 memory: 51970 grad_norm: 0.1380 loss: 0.0326 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8750 recall@top3: 0.8438 prec@top3: 0.5417 recall@top5: 0.9531 prec@top5: 0.3875 loss_action_cls: 0.0326 2023/03/11 01:07:30 - mmengine - INFO - Epoch(train) [10][3380/4451] lr: 2.2911e-06 eta: 8:33:37 time: 0.6878 data_time: 0.0123 memory: 51970 grad_norm: 0.1306 loss: 0.0323 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8750 recall@top3: 0.9083 prec@top3: 0.5333 recall@top5: 0.9833 prec@top5: 0.3400 loss_action_cls: 0.0323 2023/03/11 01:07:41 - mmengine - INFO - Epoch(train) [10][3400/4451] lr: 2.2900e-06 eta: 8:33:21 time: 0.5537 data_time: 0.0127 memory: 51970 grad_norm: 0.1314 loss: 0.0307 recall@thr=0.5: 0.8208 prec@thr=0.5: 0.8375 recall@top3: 0.8042 prec@top3: 0.6167 recall@top5: 0.9625 prec@top5: 0.4900 loss_action_cls: 0.0307 2023/03/11 01:07:55 - mmengine - INFO - Epoch(train) [10][3420/4451] lr: 2.2888e-06 eta: 8:33:08 time: 0.7055 data_time: 0.0127 memory: 51970 grad_norm: 0.1349 loss: 0.0339 recall@thr=0.5: 0.8296 prec@thr=0.5: 1.0000 recall@top3: 0.8426 prec@top3: 0.7593 recall@top5: 0.9222 prec@top5: 0.5222 loss_action_cls: 0.0339 2023/03/11 01:08:07 - mmengine - INFO - Epoch(train) [10][3440/4451] lr: 2.2876e-06 eta: 8:32:53 time: 0.6065 data_time: 0.0130 memory: 51970 grad_norm: 0.1405 loss: 0.0357 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.7353 recall@top3: 0.9216 prec@top3: 0.6471 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0357 2023/03/11 01:08:20 - mmengine - INFO - Epoch(train) [10][3460/4451] lr: 2.2864e-06 eta: 8:32:39 time: 0.6679 data_time: 0.0127 memory: 51970 grad_norm: 0.1368 loss: 0.0330 recall@thr=0.5: 0.9583 prec@thr=0.5: 0.8148 recall@top3: 0.9583 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0330 2023/03/11 01:08:33 - mmengine - INFO - Epoch(train) [10][3480/4451] lr: 2.2853e-06 eta: 8:32:24 time: 0.6106 data_time: 0.0134 memory: 51970 grad_norm: 0.1337 loss: 0.0334 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.5972 recall@top3: 0.7963 prec@top3: 0.5926 recall@top5: 0.9167 prec@top5: 0.4333 loss_action_cls: 0.0334 2023/03/11 01:08:47 - mmengine - INFO - Epoch(train) [10][3500/4451] lr: 2.2841e-06 eta: 8:32:12 time: 0.7149 data_time: 0.0120 memory: 51970 grad_norm: 0.1369 loss: 0.0388 recall@thr=0.5: 0.6596 prec@thr=0.5: 0.7895 recall@top3: 0.8588 prec@top3: 0.5614 recall@top5: 0.9351 prec@top5: 0.3789 loss_action_cls: 0.0388 2023/03/11 01:08:58 - mmengine - INFO - Epoch(train) [10][3520/4451] lr: 2.2829e-06 eta: 8:31:56 time: 0.5729 data_time: 0.0248 memory: 51970 grad_norm: 0.1347 loss: 0.0400 recall@thr=0.5: 0.4400 prec@thr=0.5: 0.6467 recall@top3: 0.7667 prec@top3: 0.6133 recall@top5: 0.8733 prec@top5: 0.4240 loss_action_cls: 0.0400 2023/03/11 01:09:11 - mmengine - INFO - Epoch(train) [10][3540/4451] lr: 2.2817e-06 eta: 8:31:42 time: 0.6574 data_time: 0.0596 memory: 51970 grad_norm: 0.1319 loss: 0.0320 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.8021 recall@top3: 0.8698 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5500 loss_action_cls: 0.0320 2023/03/11 01:09:23 - mmengine - INFO - Epoch(train) [10][3560/4451] lr: 2.2805e-06 eta: 8:31:27 time: 0.5754 data_time: 0.0228 memory: 51970 grad_norm: 0.1325 loss: 0.0343 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8235 recall@top3: 0.9020 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0343 2023/03/11 01:09:37 - mmengine - INFO - Epoch(train) [10][3580/4451] lr: 2.2794e-06 eta: 8:31:13 time: 0.6903 data_time: 0.0146 memory: 51970 grad_norm: 0.1386 loss: 0.0414 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7536 recall@top3: 0.7790 prec@top3: 0.6522 recall@top5: 0.9457 prec@top5: 0.5043 loss_action_cls: 0.0414 2023/03/11 01:09:50 - mmengine - INFO - Epoch(train) [10][3600/4451] lr: 2.2782e-06 eta: 8:30:59 time: 0.6590 data_time: 0.0322 memory: 51970 grad_norm: 0.1335 loss: 0.0348 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.7246 recall@top3: 0.8214 prec@top3: 0.6984 recall@top5: 0.8889 prec@top5: 0.4667 loss_action_cls: 0.0348 2023/03/11 01:10:04 - mmengine - INFO - Epoch(train) [10][3620/4451] lr: 2.2770e-06 eta: 8:30:46 time: 0.6907 data_time: 0.0128 memory: 51970 grad_norm: 0.1308 loss: 0.0379 recall@thr=0.5: 0.5761 prec@thr=0.5: 0.6522 recall@top3: 0.8333 prec@top3: 0.5797 recall@top5: 0.9783 prec@top5: 0.4174 loss_action_cls: 0.0379 2023/03/11 01:10:16 - mmengine - INFO - Epoch(train) [10][3640/4451] lr: 2.2758e-06 eta: 8:30:31 time: 0.6033 data_time: 0.0130 memory: 51970 grad_norm: 0.1400 loss: 0.0328 recall@thr=0.5: 0.7892 prec@thr=0.5: 0.8549 recall@top3: 0.9265 prec@top3: 0.7647 recall@top5: 0.9804 prec@top5: 0.4941 loss_action_cls: 0.0328 2023/03/11 01:10:29 - mmengine - INFO - Epoch(train) [10][3660/4451] lr: 2.2746e-06 eta: 8:30:17 time: 0.6584 data_time: 0.0128 memory: 51970 grad_norm: 0.1300 loss: 0.0337 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8333 recall@top3: 0.8333 prec@top3: 0.5333 recall@top5: 0.9000 prec@top5: 0.3467 loss_action_cls: 0.0337 2023/03/11 01:10:41 - mmengine - INFO - Epoch(train) [10][3680/4451] lr: 2.2735e-06 eta: 8:30:03 time: 0.6152 data_time: 0.0136 memory: 51970 grad_norm: 0.1350 loss: 0.0344 recall@thr=0.5: 0.7951 prec@thr=0.5: 0.7986 recall@top3: 0.7951 prec@top3: 0.5556 recall@top5: 0.8750 prec@top5: 0.3833 loss_action_cls: 0.0344 2023/03/11 01:10:55 - mmengine - INFO - Epoch(train) [10][3700/4451] lr: 2.2723e-06 eta: 8:29:49 time: 0.6813 data_time: 0.0346 memory: 51970 grad_norm: 0.1250 loss: 0.0342 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.8013 recall@top3: 0.8013 prec@top3: 0.6795 recall@top5: 0.8910 prec@top5: 0.4692 loss_action_cls: 0.0342 2023/03/11 01:11:07 - mmengine - INFO - Epoch(train) [10][3720/4451] lr: 2.2711e-06 eta: 8:29:34 time: 0.5858 data_time: 0.0495 memory: 51970 grad_norm: 0.1319 loss: 0.0316 recall@thr=0.5: 0.5567 prec@thr=0.5: 0.5800 recall@top3: 0.8467 prec@top3: 0.6133 recall@top5: 0.8867 prec@top5: 0.3840 loss_action_cls: 0.0316 2023/03/11 01:11:21 - mmengine - INFO - Epoch(train) [10][3740/4451] lr: 2.2699e-06 eta: 8:29:21 time: 0.6977 data_time: 0.0577 memory: 51970 grad_norm: 0.1285 loss: 0.0350 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.9804 recall@top3: 0.9608 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.3765 loss_action_cls: 0.0350 2023/03/11 01:11:34 - mmengine - INFO - Epoch(train) [10][3760/4451] lr: 2.2687e-06 eta: 8:29:07 time: 0.6799 data_time: 0.0132 memory: 51970 grad_norm: 0.1300 loss: 0.0343 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7031 recall@top3: 0.8438 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.4750 loss_action_cls: 0.0343 2023/03/11 01:11:48 - mmengine - INFO - Epoch(train) [10][3780/4451] lr: 2.2675e-06 eta: 8:28:54 time: 0.6803 data_time: 0.0191 memory: 51970 grad_norm: 0.1358 loss: 0.0333 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.6667 recall@top3: 0.7451 prec@top3: 0.5490 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0333 2023/03/11 01:12:01 - mmengine - INFO - Epoch(train) [10][3800/4451] lr: 2.2663e-06 eta: 8:28:40 time: 0.6431 data_time: 0.0148 memory: 51970 grad_norm: 0.1305 loss: 0.0341 recall@thr=0.5: 0.6218 prec@thr=0.5: 0.7276 recall@top3: 0.8013 prec@top3: 0.6923 recall@top5: 1.0000 prec@top5: 0.5308 loss_action_cls: 0.0341 2023/03/11 01:12:14 - mmengine - INFO - Epoch(train) [10][3820/4451] lr: 2.2652e-06 eta: 8:28:26 time: 0.6463 data_time: 0.0129 memory: 51970 grad_norm: 0.1314 loss: 0.0335 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6000 recall@top3: 0.6167 prec@top3: 0.4667 recall@top5: 0.8542 prec@top5: 0.3600 loss_action_cls: 0.0335 2023/03/11 01:12:29 - mmengine - INFO - Epoch(train) [10][3840/4451] lr: 2.2640e-06 eta: 8:28:14 time: 0.7518 data_time: 0.0126 memory: 51970 grad_norm: 0.1394 loss: 0.0388 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.8077 recall@top3: 0.7949 prec@top3: 0.5897 recall@top5: 0.8205 prec@top5: 0.3692 loss_action_cls: 0.0388 2023/03/11 01:12:42 - mmengine - INFO - Epoch(train) [10][3860/4451] lr: 2.2628e-06 eta: 8:28:00 time: 0.6823 data_time: 0.0125 memory: 51970 grad_norm: 0.1339 loss: 0.0343 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6190 recall@top3: 0.7778 prec@top3: 0.5873 recall@top5: 0.8810 prec@top5: 0.4095 loss_action_cls: 0.0343 2023/03/11 01:12:53 - mmengine - INFO - Epoch(train) [10][3880/4451] lr: 2.2616e-06 eta: 8:27:43 time: 0.5070 data_time: 0.0131 memory: 51970 grad_norm: 0.1374 loss: 0.0363 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.7014 recall@top3: 0.7778 prec@top3: 0.5556 recall@top5: 0.8611 prec@top5: 0.3833 loss_action_cls: 0.0363 2023/03/11 01:13:08 - mmengine - INFO - Epoch(train) [10][3900/4451] lr: 2.2604e-06 eta: 8:27:31 time: 0.7628 data_time: 0.0135 memory: 51970 grad_norm: 0.1285 loss: 0.0318 recall@thr=0.5: 0.8968 prec@thr=0.5: 0.8016 recall@top3: 1.0000 prec@top3: 0.6984 recall@top5: 1.0000 prec@top5: 0.4190 loss_action_cls: 0.0318 2023/03/11 01:13:20 - mmengine - INFO - Epoch(train) [10][3920/4451] lr: 2.2592e-06 eta: 8:27:16 time: 0.5894 data_time: 0.0124 memory: 51970 grad_norm: 0.1292 loss: 0.0368 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.7428 recall@top3: 0.7319 prec@top3: 0.5362 recall@top5: 0.9022 prec@top5: 0.4261 loss_action_cls: 0.0368 2023/03/11 01:13:33 - mmengine - INFO - Epoch(train) [10][3940/4451] lr: 2.2580e-06 eta: 8:27:02 time: 0.6549 data_time: 0.0131 memory: 51970 grad_norm: 0.1426 loss: 0.0344 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.6923 recall@top3: 0.9288 prec@top3: 0.5385 recall@top5: 0.9365 prec@top5: 0.3308 loss_action_cls: 0.0344 2023/03/11 01:13:33 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 01:13:45 - mmengine - INFO - Epoch(train) [10][3960/4451] lr: 2.2568e-06 eta: 8:26:47 time: 0.5964 data_time: 0.0128 memory: 51970 grad_norm: 0.1377 loss: 0.0363 recall@thr=0.5: 0.7581 prec@thr=0.5: 0.8860 recall@top3: 0.8500 prec@top3: 0.9032 recall@top5: 0.9935 prec@top5: 0.6581 loss_action_cls: 0.0363 2023/03/11 01:13:59 - mmengine - INFO - Epoch(train) [10][3980/4451] lr: 2.2556e-06 eta: 8:26:34 time: 0.7193 data_time: 0.0135 memory: 51970 grad_norm: 0.1309 loss: 0.0390 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.6316 recall@top3: 0.9211 prec@top3: 0.5088 recall@top5: 1.0000 prec@top5: 0.3368 loss_action_cls: 0.0390 2023/03/11 01:14:11 - mmengine - INFO - Epoch(train) [10][4000/4451] lr: 2.2544e-06 eta: 8:26:20 time: 0.6082 data_time: 0.0185 memory: 51970 grad_norm: 0.1315 loss: 0.0343 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7396 recall@top3: 0.9688 prec@top3: 0.7083 recall@top5: 0.9688 prec@top5: 0.4250 loss_action_cls: 0.0343 2023/03/11 01:14:24 - mmengine - INFO - Epoch(train) [10][4020/4451] lr: 2.2532e-06 eta: 8:26:05 time: 0.6274 data_time: 0.0326 memory: 51970 grad_norm: 0.1351 loss: 0.0387 recall@thr=0.5: 0.5944 prec@thr=0.5: 0.6667 recall@top3: 0.7444 prec@top3: 0.6852 recall@top5: 0.9389 prec@top5: 0.5444 loss_action_cls: 0.0387 2023/03/11 01:14:39 - mmengine - INFO - Epoch(train) [10][4040/4451] lr: 2.2520e-06 eta: 8:25:54 time: 0.7780 data_time: 0.0347 memory: 51970 grad_norm: 0.1368 loss: 0.0376 recall@thr=0.5: 0.7696 prec@thr=0.5: 0.9025 recall@top3: 0.8431 prec@top3: 0.7843 recall@top5: 0.9608 prec@top5: 0.5529 loss_action_cls: 0.0376 2023/03/11 01:14:53 - mmengine - INFO - Epoch(train) [10][4060/4451] lr: 2.2508e-06 eta: 8:25:40 time: 0.6895 data_time: 0.0188 memory: 51970 grad_norm: 0.1306 loss: 0.0372 recall@thr=0.5: 0.6174 prec@thr=0.5: 0.7091 recall@top3: 0.8220 prec@top3: 0.7121 recall@top5: 0.9167 prec@top5: 0.5000 loss_action_cls: 0.0372 2023/03/11 01:15:06 - mmengine - INFO - Epoch(train) [10][4080/4451] lr: 2.2496e-06 eta: 8:25:26 time: 0.6452 data_time: 0.0601 memory: 51970 grad_norm: 0.1355 loss: 0.0402 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.6771 recall@top3: 0.9271 prec@top3: 0.4583 recall@top5: 0.9792 prec@top5: 0.3000 loss_action_cls: 0.0402 2023/03/11 01:15:20 - mmengine - INFO - Epoch(train) [10][4100/4451] lr: 2.2484e-06 eta: 8:25:13 time: 0.6827 data_time: 0.0227 memory: 51970 grad_norm: 0.1318 loss: 0.0375 recall@thr=0.5: 0.7039 prec@thr=0.5: 0.8137 recall@top3: 0.6627 prec@top3: 0.8039 recall@top5: 0.8549 prec@top5: 0.6471 loss_action_cls: 0.0375 2023/03/11 01:15:33 - mmengine - INFO - Epoch(train) [10][4120/4451] lr: 2.2472e-06 eta: 8:24:59 time: 0.6498 data_time: 0.0622 memory: 51970 grad_norm: 0.1365 loss: 0.0340 recall@thr=0.5: 0.6402 prec@thr=0.5: 0.8824 recall@top3: 0.8069 prec@top3: 0.7059 recall@top5: 0.9765 prec@top5: 0.5412 loss_action_cls: 0.0340 2023/03/11 01:15:48 - mmengine - INFO - Epoch(train) [10][4140/4451] lr: 2.2460e-06 eta: 8:24:47 time: 0.7637 data_time: 0.0119 memory: 51970 grad_norm: 0.1336 loss: 0.0392 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.6930 recall@top3: 0.7807 prec@top3: 0.4386 recall@top5: 0.8684 prec@top5: 0.3053 loss_action_cls: 0.0392 2023/03/11 01:16:01 - mmengine - INFO - Epoch(train) [10][4160/4451] lr: 2.2448e-06 eta: 8:24:33 time: 0.6522 data_time: 0.0131 memory: 51970 grad_norm: 0.1277 loss: 0.0364 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.7889 recall@top3: 0.9630 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0364 2023/03/11 01:16:16 - mmengine - INFO - Epoch(train) [10][4180/4451] lr: 2.2436e-06 eta: 8:24:21 time: 0.7462 data_time: 0.0131 memory: 51970 grad_norm: 0.1322 loss: 0.0349 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8730 recall@top3: 0.9484 prec@top3: 0.6984 recall@top5: 0.9881 prec@top5: 0.4476 loss_action_cls: 0.0349 2023/03/11 01:16:28 - mmengine - INFO - Epoch(train) [10][4200/4451] lr: 2.2424e-06 eta: 8:24:07 time: 0.6280 data_time: 0.0128 memory: 51970 grad_norm: 0.1325 loss: 0.0361 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7500 recall@top3: 0.8698 prec@top3: 0.7083 recall@top5: 0.9375 prec@top5: 0.4750 loss_action_cls: 0.0361 2023/03/11 01:16:41 - mmengine - INFO - Epoch(train) [10][4220/4451] lr: 2.2412e-06 eta: 8:23:52 time: 0.6424 data_time: 0.0121 memory: 51970 grad_norm: 0.1277 loss: 0.0363 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.6833 recall@top3: 0.8375 prec@top3: 0.6333 recall@top5: 0.9833 prec@top5: 0.4600 loss_action_cls: 0.0363 2023/03/11 01:16:53 - mmengine - INFO - Epoch(train) [10][4240/4451] lr: 2.2400e-06 eta: 8:23:37 time: 0.5793 data_time: 0.0131 memory: 51970 grad_norm: 0.1297 loss: 0.0355 recall@thr=0.5: 0.4938 prec@thr=0.5: 0.7407 recall@top3: 0.7191 prec@top3: 0.6914 recall@top5: 0.9136 prec@top5: 0.5407 loss_action_cls: 0.0355 2023/03/11 01:17:04 - mmengine - INFO - Epoch(train) [10][4260/4451] lr: 2.2388e-06 eta: 8:23:21 time: 0.5690 data_time: 0.0124 memory: 51970 grad_norm: 0.1249 loss: 0.0331 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6556 recall@top3: 0.8750 prec@top3: 0.5000 recall@top5: 0.8889 prec@top5: 0.3111 loss_action_cls: 0.0331 2023/03/11 01:17:17 - mmengine - INFO - Epoch(train) [10][4280/4451] lr: 2.2376e-06 eta: 8:23:07 time: 0.6306 data_time: 0.0134 memory: 51970 grad_norm: 0.1252 loss: 0.0303 recall@thr=0.5: 0.7722 prec@thr=0.5: 1.0000 recall@top3: 0.9500 prec@top3: 0.6444 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0303 2023/03/11 01:17:31 - mmengine - INFO - Epoch(train) [10][4300/4451] lr: 2.2364e-06 eta: 8:22:54 time: 0.7140 data_time: 0.2236 memory: 51970 grad_norm: 0.1402 loss: 0.0335 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8526 recall@top3: 0.8590 prec@top3: 0.6026 recall@top5: 0.8974 prec@top5: 0.3692 loss_action_cls: 0.0335 2023/03/11 01:17:43 - mmengine - INFO - Epoch(train) [10][4320/4451] lr: 2.2352e-06 eta: 8:22:39 time: 0.5777 data_time: 0.1462 memory: 51970 grad_norm: 0.1294 loss: 0.0321 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.7255 recall@top3: 0.8333 prec@top3: 0.6078 recall@top5: 0.9216 prec@top5: 0.4118 loss_action_cls: 0.0321 2023/03/11 01:17:56 - mmengine - INFO - Epoch(train) [10][4340/4451] lr: 2.2340e-06 eta: 8:22:25 time: 0.6629 data_time: 0.2302 memory: 51970 grad_norm: 0.1248 loss: 0.0361 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.7778 recall@top3: 0.7722 prec@top3: 0.6250 recall@top5: 0.9375 prec@top5: 0.4667 loss_action_cls: 0.0361 2023/03/11 01:18:09 - mmengine - INFO - Epoch(train) [10][4360/4451] lr: 2.2328e-06 eta: 8:22:10 time: 0.6291 data_time: 0.0823 memory: 51970 grad_norm: 0.1335 loss: 0.0348 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7955 recall@top3: 0.7803 prec@top3: 0.6212 recall@top5: 0.9470 prec@top5: 0.4636 loss_action_cls: 0.0348 2023/03/11 01:18:22 - mmengine - INFO - Epoch(train) [10][4380/4451] lr: 2.2316e-06 eta: 8:21:57 time: 0.6854 data_time: 0.0454 memory: 51970 grad_norm: 0.1274 loss: 0.0330 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7963 recall@top3: 0.9074 prec@top3: 0.7037 recall@top5: 0.9259 prec@top5: 0.4333 loss_action_cls: 0.0330 2023/03/11 01:18:35 - mmengine - INFO - Epoch(train) [10][4400/4451] lr: 2.2304e-06 eta: 8:21:43 time: 0.6328 data_time: 0.0122 memory: 51970 grad_norm: 0.1338 loss: 0.0315 recall@thr=0.5: 0.7817 prec@thr=0.5: 0.8500 recall@top3: 0.8858 prec@top3: 0.6833 recall@top5: 0.9550 prec@top5: 0.4700 loss_action_cls: 0.0315 2023/03/11 01:18:47 - mmengine - INFO - Epoch(train) [10][4420/4451] lr: 2.2292e-06 eta: 8:21:28 time: 0.6132 data_time: 0.0127 memory: 51970 grad_norm: 0.1379 loss: 0.0360 recall@thr=0.5: 0.8902 prec@thr=0.5: 0.8674 recall@top3: 0.9205 prec@top3: 0.7424 recall@top5: 0.9886 prec@top5: 0.4909 loss_action_cls: 0.0360 2023/03/11 01:19:00 - mmengine - INFO - Epoch(train) [10][4440/4451] lr: 2.2280e-06 eta: 8:21:14 time: 0.6394 data_time: 0.0141 memory: 51970 grad_norm: 0.1350 loss: 0.0366 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6852 recall@top3: 0.9167 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0366 2023/03/11 01:19:05 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 01:19:05 - mmengine - INFO - Epoch(train) [10][4451/4451] lr: 2.2273e-06 eta: 8:21:04 time: 0.5279 data_time: 0.0115 memory: 51970 grad_norm: 0.1382 loss: 0.0362 recall@thr=0.5: 0.9500 prec@thr=0.5: 0.9389 recall@top3: 0.9500 prec@top3: 0.8444 recall@top5: 1.0000 prec@top5: 0.5467 loss_action_cls: 0.0362 2023/03/11 01:19:05 - mmengine - INFO - Saving checkpoint at 10 epochs 2023/03/11 01:19:11 - mmengine - INFO - Epoch(val) [10][ 20/6282] eta: 0:08:14 time: 0.0789 data_time: 0.0328 memory: 2331 2023/03/11 01:19:12 - mmengine - INFO - Epoch(val) [10][ 40/6282] eta: 0:06:52 time: 0.0533 data_time: 0.0104 memory: 2331 2023/03/11 01:19:13 - mmengine - INFO - Epoch(val) [10][ 60/6282] eta: 0:06:35 time: 0.0586 data_time: 0.0156 memory: 2331 2023/03/11 01:19:15 - mmengine - INFO - Epoch(val) [10][ 80/6282] eta: 0:06:50 time: 0.0740 data_time: 0.0312 memory: 2331 2023/03/11 01:19:16 - mmengine - INFO - Epoch(val) [10][ 100/6282] eta: 0:06:41 time: 0.0597 data_time: 0.0159 memory: 2331 2023/03/11 01:19:17 - mmengine - INFO - Epoch(val) [10][ 120/6282] eta: 0:06:36 time: 0.0617 data_time: 0.0077 memory: 2934 2023/03/11 01:19:19 - mmengine - INFO - Epoch(val) [10][ 140/6282] eta: 0:06:34 time: 0.0636 data_time: 0.0031 memory: 2934 2023/03/11 01:19:20 - mmengine - INFO - Epoch(val) [10][ 160/6282] eta: 0:06:31 time: 0.0618 data_time: 0.0020 memory: 2934 2023/03/11 01:19:21 - mmengine - INFO - Epoch(val) [10][ 180/6282] eta: 0:06:30 time: 0.0640 data_time: 0.0040 memory: 2934 2023/03/11 01:19:22 - mmengine - INFO - Epoch(val) [10][ 200/6282] eta: 0:06:29 time: 0.0653 data_time: 0.0023 memory: 2934 2023/03/11 01:19:23 - mmengine - INFO - Epoch(val) [10][ 220/6282] eta: 0:06:20 time: 0.0498 data_time: 0.0026 memory: 2396 2023/03/11 01:19:24 - mmengine - INFO - Epoch(val) [10][ 240/6282] eta: 0:06:13 time: 0.0511 data_time: 0.0026 memory: 2396 2023/03/11 01:19:25 - mmengine - INFO - Epoch(val) [10][ 260/6282] eta: 0:06:06 time: 0.0491 data_time: 0.0027 memory: 2396 2023/03/11 01:19:26 - mmengine - INFO - Epoch(val) [10][ 280/6282] eta: 0:06:00 time: 0.0494 data_time: 0.0033 memory: 2396 2023/03/11 01:19:28 - mmengine - INFO - Epoch(val) [10][ 300/6282] eta: 0:05:57 time: 0.0560 data_time: 0.0033 memory: 2934 2023/03/11 01:19:29 - mmengine - INFO - Epoch(val) [10][ 320/6282] eta: 0:05:57 time: 0.0631 data_time: 0.0025 memory: 2934 2023/03/11 01:19:30 - mmengine - INFO - Epoch(val) [10][ 340/6282] eta: 0:05:57 time: 0.0643 data_time: 0.0024 memory: 2934 2023/03/11 01:19:31 - mmengine - INFO - Epoch(val) [10][ 360/6282] eta: 0:05:57 time: 0.0637 data_time: 0.0022 memory: 2934 2023/03/11 01:19:33 - mmengine - INFO - Epoch(val) [10][ 380/6282] eta: 0:05:59 time: 0.0698 data_time: 0.0043 memory: 2934 2023/03/11 01:19:34 - mmengine - INFO - Epoch(val) [10][ 400/6282] eta: 0:06:01 time: 0.0732 data_time: 0.0208 memory: 2934 2023/03/11 01:19:36 - mmengine - INFO - Epoch(val) [10][ 420/6282] eta: 0:06:00 time: 0.0626 data_time: 0.0176 memory: 2397 2023/03/11 01:19:37 - mmengine - INFO - Epoch(val) [10][ 440/6282] eta: 0:05:59 time: 0.0625 data_time: 0.0150 memory: 2397 2023/03/11 01:19:38 - mmengine - INFO - Epoch(val) [10][ 460/6282] eta: 0:05:57 time: 0.0583 data_time: 0.0130 memory: 2397 2023/03/11 01:19:39 - mmengine - INFO - Epoch(val) [10][ 480/6282] eta: 0:05:55 time: 0.0567 data_time: 0.0093 memory: 2397 2023/03/11 01:19:40 - mmengine - INFO - Epoch(val) [10][ 500/6282] eta: 0:05:54 time: 0.0624 data_time: 0.0154 memory: 2397 2023/03/11 01:19:42 - mmengine - INFO - Epoch(val) [10][ 520/6282] eta: 0:05:52 time: 0.0558 data_time: 0.0089 memory: 2396 2023/03/11 01:19:43 - mmengine - INFO - Epoch(val) [10][ 540/6282] eta: 0:05:50 time: 0.0613 data_time: 0.0150 memory: 2396 2023/03/11 01:19:44 - mmengine - INFO - Epoch(val) [10][ 560/6282] eta: 0:05:48 time: 0.0563 data_time: 0.0113 memory: 2396 2023/03/11 01:19:45 - mmengine - INFO - Epoch(val) [10][ 580/6282] eta: 0:05:49 time: 0.0691 data_time: 0.0204 memory: 2396 2023/03/11 01:19:46 - mmengine - INFO - Epoch(val) [10][ 600/6282] eta: 0:05:47 time: 0.0582 data_time: 0.0115 memory: 2396 2023/03/11 01:19:48 - mmengine - INFO - Epoch(val) [10][ 620/6282] eta: 0:05:44 time: 0.0537 data_time: 0.0085 memory: 2396 2023/03/11 01:19:48 - mmengine - INFO - Epoch(val) [10][ 640/6282] eta: 0:05:41 time: 0.0482 data_time: 0.0030 memory: 2332 2023/03/11 01:19:49 - mmengine - INFO - Epoch(val) [10][ 660/6282] eta: 0:05:37 time: 0.0478 data_time: 0.0031 memory: 2332 2023/03/11 01:19:50 - mmengine - INFO - Epoch(val) [10][ 680/6282] eta: 0:05:34 time: 0.0489 data_time: 0.0033 memory: 2332 2023/03/11 01:19:51 - mmengine - INFO - Epoch(val) [10][ 700/6282] eta: 0:05:31 time: 0.0486 data_time: 0.0035 memory: 2332 2023/03/11 01:19:53 - mmengine - INFO - Epoch(val) [10][ 720/6282] eta: 0:05:32 time: 0.0732 data_time: 0.0164 memory: 2934 2023/03/11 01:19:55 - mmengine - INFO - Epoch(val) [10][ 740/6282] eta: 0:05:40 time: 0.1163 data_time: 0.0534 memory: 2934 2023/03/11 01:19:57 - mmengine - INFO - Epoch(val) [10][ 760/6282] eta: 0:05:43 time: 0.0942 data_time: 0.0330 memory: 2934 2023/03/11 01:19:59 - mmengine - INFO - Epoch(val) [10][ 780/6282] eta: 0:05:45 time: 0.0876 data_time: 0.0279 memory: 2934 2023/03/11 01:20:01 - mmengine - INFO - Epoch(val) [10][ 800/6282] eta: 0:05:48 time: 0.0916 data_time: 0.0304 memory: 2934 2023/03/11 01:20:02 - mmengine - INFO - Epoch(val) [10][ 820/6282] eta: 0:05:47 time: 0.0648 data_time: 0.0105 memory: 2934 2023/03/11 01:20:03 - mmengine - INFO - Epoch(val) [10][ 840/6282] eta: 0:05:46 time: 0.0618 data_time: 0.0168 memory: 2396 2023/03/11 01:20:04 - mmengine - INFO - Epoch(val) [10][ 860/6282] eta: 0:05:43 time: 0.0575 data_time: 0.0120 memory: 2396 2023/03/11 01:20:06 - mmengine - INFO - Epoch(val) [10][ 880/6282] eta: 0:05:42 time: 0.0640 data_time: 0.0156 memory: 2396 2023/03/11 01:20:07 - mmengine - INFO - Epoch(val) [10][ 900/6282] eta: 0:05:40 time: 0.0555 data_time: 0.0105 memory: 2396 2023/03/11 01:20:08 - mmengine - INFO - Epoch(val) [10][ 920/6282] eta: 0:05:38 time: 0.0586 data_time: 0.0098 memory: 2396 2023/03/11 01:20:09 - mmengine - INFO - Epoch(val) [10][ 940/6282] eta: 0:05:36 time: 0.0562 data_time: 0.0109 memory: 2331 2023/03/11 01:20:10 - mmengine - INFO - Epoch(val) [10][ 960/6282] eta: 0:05:35 time: 0.0620 data_time: 0.0178 memory: 2331 2023/03/11 01:20:11 - mmengine - INFO - Epoch(val) [10][ 980/6282] eta: 0:05:33 time: 0.0541 data_time: 0.0092 memory: 2331 2023/03/11 01:20:13 - mmengine - INFO - Epoch(val) [10][1000/6282] eta: 0:05:31 time: 0.0618 data_time: 0.0164 memory: 2331 2023/03/11 01:20:14 - mmengine - INFO - Epoch(val) [10][1020/6282] eta: 0:05:29 time: 0.0541 data_time: 0.0098 memory: 2396 2023/03/11 01:20:15 - mmengine - INFO - Epoch(val) [10][1040/6282] eta: 0:05:30 time: 0.0849 data_time: 0.0394 memory: 2396 2023/03/11 01:20:17 - mmengine - INFO - Epoch(val) [10][1060/6282] eta: 0:05:28 time: 0.0585 data_time: 0.0109 memory: 2396 2023/03/11 01:20:18 - mmengine - INFO - Epoch(val) [10][1080/6282] eta: 0:05:27 time: 0.0603 data_time: 0.0140 memory: 2396 2023/03/11 01:20:19 - mmengine - INFO - Epoch(val) [10][1100/6282] eta: 0:05:25 time: 0.0594 data_time: 0.0115 memory: 2396 2023/03/11 01:20:20 - mmengine - INFO - Epoch(val) [10][1120/6282] eta: 0:05:24 time: 0.0610 data_time: 0.0161 memory: 2396 2023/03/11 01:20:21 - mmengine - INFO - Epoch(val) [10][1140/6282] eta: 0:05:22 time: 0.0578 data_time: 0.0106 memory: 2396 2023/03/11 01:20:22 - mmengine - INFO - Epoch(val) [10][1160/6282] eta: 0:05:20 time: 0.0499 data_time: 0.0031 memory: 2396 2023/03/11 01:20:23 - mmengine - INFO - Epoch(val) [10][1180/6282] eta: 0:05:17 time: 0.0497 data_time: 0.0028 memory: 2396 2023/03/11 01:20:24 - mmengine - INFO - Epoch(val) [10][1200/6282] eta: 0:05:15 time: 0.0513 data_time: 0.0034 memory: 2396 2023/03/11 01:20:26 - mmengine - INFO - Epoch(val) [10][1220/6282] eta: 0:05:13 time: 0.0500 data_time: 0.0031 memory: 2396 2023/03/11 01:20:27 - mmengine - INFO - Epoch(val) [10][1240/6282] eta: 0:05:14 time: 0.0938 data_time: 0.0317 memory: 2934 2023/03/11 01:20:29 - mmengine - INFO - Epoch(val) [10][1260/6282] eta: 0:05:15 time: 0.0900 data_time: 0.0270 memory: 2934 2023/03/11 01:20:31 - mmengine - INFO - Epoch(val) [10][1280/6282] eta: 0:05:17 time: 0.1056 data_time: 0.0438 memory: 2934 2023/03/11 01:20:33 - mmengine - INFO - Epoch(val) [10][1300/6282] eta: 0:05:18 time: 0.0870 data_time: 0.0247 memory: 2934 2023/03/11 01:20:36 - mmengine - INFO - Epoch(val) [10][1320/6282] eta: 0:05:21 time: 0.1216 data_time: 0.0590 memory: 2934 2023/03/11 01:20:37 - mmengine - INFO - Epoch(val) [10][1340/6282] eta: 0:05:21 time: 0.0888 data_time: 0.0260 memory: 2934 2023/03/11 01:20:39 - mmengine - INFO - Epoch(val) [10][1360/6282] eta: 0:05:23 time: 0.1024 data_time: 0.0410 memory: 2934 2023/03/11 01:20:41 - mmengine - INFO - Epoch(val) [10][1380/6282] eta: 0:05:23 time: 0.0894 data_time: 0.0273 memory: 2934 2023/03/11 01:20:43 - mmengine - INFO - Epoch(val) [10][1400/6282] eta: 0:05:23 time: 0.0856 data_time: 0.0252 memory: 2934 2023/03/11 01:20:44 - mmengine - INFO - Epoch(val) [10][1420/6282] eta: 0:05:22 time: 0.0712 data_time: 0.0114 memory: 2934 2023/03/11 01:20:46 - mmengine - INFO - Epoch(val) [10][1440/6282] eta: 0:05:21 time: 0.0638 data_time: 0.0026 memory: 2934 2023/03/11 01:20:47 - mmengine - INFO - Epoch(val) [10][1460/6282] eta: 0:05:19 time: 0.0637 data_time: 0.0025 memory: 2934 2023/03/11 01:20:48 - mmengine - INFO - Epoch(val) [10][1480/6282] eta: 0:05:18 time: 0.0628 data_time: 0.0027 memory: 2934 2023/03/11 01:20:49 - mmengine - INFO - Epoch(val) [10][1500/6282] eta: 0:05:16 time: 0.0622 data_time: 0.0025 memory: 2934 2023/03/11 01:20:51 - mmengine - INFO - Epoch(val) [10][1520/6282] eta: 0:05:15 time: 0.0639 data_time: 0.0026 memory: 3958 2023/03/11 01:20:52 - mmengine - INFO - Epoch(val) [10][1540/6282] eta: 0:05:15 time: 0.0863 data_time: 0.0028 memory: 3958 2023/03/11 01:20:54 - mmengine - INFO - Epoch(val) [10][1560/6282] eta: 0:05:14 time: 0.0864 data_time: 0.0028 memory: 3958 2023/03/11 01:20:56 - mmengine - INFO - Epoch(val) [10][1580/6282] eta: 0:05:14 time: 0.0866 data_time: 0.0027 memory: 3958 2023/03/11 01:20:58 - mmengine - INFO - Epoch(val) [10][1600/6282] eta: 0:05:14 time: 0.0864 data_time: 0.0027 memory: 3958 2023/03/11 01:20:59 - mmengine - INFO - Epoch(val) [10][1620/6282] eta: 0:05:14 time: 0.0860 data_time: 0.0026 memory: 3958 2023/03/11 01:21:01 - mmengine - INFO - Epoch(val) [10][1640/6282] eta: 0:05:12 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/11 01:21:02 - mmengine - INFO - Epoch(val) [10][1660/6282] eta: 0:05:10 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 01:21:03 - mmengine - INFO - Epoch(val) [10][1680/6282] eta: 0:05:09 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/11 01:21:04 - mmengine - INFO - Epoch(val) [10][1700/6282] eta: 0:05:07 time: 0.0616 data_time: 0.0022 memory: 2934 2023/03/11 01:21:06 - mmengine - INFO - Epoch(val) [10][1720/6282] eta: 0:05:06 time: 0.0623 data_time: 0.0022 memory: 2934 2023/03/11 01:21:07 - mmengine - INFO - Epoch(val) [10][1740/6282] eta: 0:05:04 time: 0.0616 data_time: 0.0022 memory: 2934 2023/03/11 01:21:08 - mmengine - INFO - Epoch(val) [10][1760/6282] eta: 0:05:02 time: 0.0618 data_time: 0.0023 memory: 2934 2023/03/11 01:21:09 - mmengine - INFO - Epoch(val) [10][1780/6282] eta: 0:05:01 time: 0.0626 data_time: 0.0026 memory: 2934 2023/03/11 01:21:11 - mmengine - INFO - Epoch(val) [10][1800/6282] eta: 0:04:59 time: 0.0645 data_time: 0.0034 memory: 2934 2023/03/11 01:21:12 - mmengine - INFO - Epoch(val) [10][1820/6282] eta: 0:04:58 time: 0.0665 data_time: 0.0038 memory: 2934 2023/03/11 01:21:13 - mmengine - INFO - Epoch(val) [10][1840/6282] eta: 0:04:57 time: 0.0661 data_time: 0.0040 memory: 2934 2023/03/11 01:21:15 - mmengine - INFO - Epoch(val) [10][1860/6282] eta: 0:04:57 time: 0.0941 data_time: 0.0311 memory: 2934 2023/03/11 01:21:17 - mmengine - INFO - Epoch(val) [10][1880/6282] eta: 0:04:56 time: 0.0924 data_time: 0.0296 memory: 2934 2023/03/11 01:21:19 - mmengine - INFO - Epoch(val) [10][1900/6282] eta: 0:04:56 time: 0.0920 data_time: 0.0307 memory: 2934 2023/03/11 01:21:21 - mmengine - INFO - Epoch(val) [10][1920/6282] eta: 0:04:56 time: 0.0880 data_time: 0.0269 memory: 2934 2023/03/11 01:21:22 - mmengine - INFO - Epoch(val) [10][1940/6282] eta: 0:04:55 time: 0.0777 data_time: 0.0217 memory: 2934 2023/03/11 01:21:23 - mmengine - INFO - Epoch(val) [10][1960/6282] eta: 0:04:53 time: 0.0576 data_time: 0.0110 memory: 2397 2023/03/11 01:21:25 - mmengine - INFO - Epoch(val) [10][1980/6282] eta: 0:04:51 time: 0.0625 data_time: 0.0174 memory: 2397 2023/03/11 01:21:26 - mmengine - INFO - Epoch(val) [10][2000/6282] eta: 0:04:50 time: 0.0569 data_time: 0.0109 memory: 2397 2023/03/11 01:21:27 - mmengine - INFO - Epoch(val) [10][2020/6282] eta: 0:04:48 time: 0.0586 data_time: 0.0110 memory: 2397 2023/03/11 01:21:28 - mmengine - INFO - Epoch(val) [10][2040/6282] eta: 0:04:46 time: 0.0625 data_time: 0.0154 memory: 2397 2023/03/11 01:21:29 - mmengine - INFO - Epoch(val) [10][2060/6282] eta: 0:04:45 time: 0.0599 data_time: 0.0137 memory: 2397 2023/03/11 01:21:31 - mmengine - INFO - Epoch(val) [10][2080/6282] eta: 0:04:43 time: 0.0704 data_time: 0.0246 memory: 2397 2023/03/11 01:21:32 - mmengine - INFO - Epoch(val) [10][2100/6282] eta: 0:04:42 time: 0.0580 data_time: 0.0115 memory: 2397 2023/03/11 01:21:33 - mmengine - INFO - Epoch(val) [10][2120/6282] eta: 0:04:40 time: 0.0641 data_time: 0.0183 memory: 2397 2023/03/11 01:21:35 - mmengine - INFO - Epoch(val) [10][2140/6282] eta: 0:04:39 time: 0.0736 data_time: 0.0244 memory: 2397 2023/03/11 01:21:36 - mmengine - INFO - Epoch(val) [10][2160/6282] eta: 0:04:38 time: 0.0627 data_time: 0.0178 memory: 2396 2023/03/11 01:21:37 - mmengine - INFO - Epoch(val) [10][2180/6282] eta: 0:04:36 time: 0.0552 data_time: 0.0077 memory: 2396 2023/03/11 01:21:39 - mmengine - INFO - Epoch(val) [10][2200/6282] eta: 0:04:35 time: 0.0900 data_time: 0.0442 memory: 2396 2023/03/11 01:21:40 - mmengine - INFO - Epoch(val) [10][2220/6282] eta: 0:04:34 time: 0.0596 data_time: 0.0146 memory: 2396 2023/03/11 01:21:41 - mmengine - INFO - Epoch(val) [10][2240/6282] eta: 0:04:32 time: 0.0622 data_time: 0.0172 memory: 2396 2023/03/11 01:21:42 - mmengine - INFO - Epoch(val) [10][2260/6282] eta: 0:04:30 time: 0.0568 data_time: 0.0095 memory: 2397 2023/03/11 01:21:44 - mmengine - INFO - Epoch(val) [10][2280/6282] eta: 0:04:29 time: 0.0628 data_time: 0.0151 memory: 2397 2023/03/11 01:21:45 - mmengine - INFO - Epoch(val) [10][2300/6282] eta: 0:04:27 time: 0.0611 data_time: 0.0127 memory: 2397 2023/03/11 01:21:46 - mmengine - INFO - Epoch(val) [10][2320/6282] eta: 0:04:26 time: 0.0682 data_time: 0.0232 memory: 2397 2023/03/11 01:21:47 - mmengine - INFO - Epoch(val) [10][2340/6282] eta: 0:04:24 time: 0.0546 data_time: 0.0079 memory: 2397 2023/03/11 01:21:49 - mmengine - INFO - Epoch(val) [10][2360/6282] eta: 0:04:23 time: 0.0633 data_time: 0.0183 memory: 2396 2023/03/11 01:21:50 - mmengine - INFO - Epoch(val) [10][2380/6282] eta: 0:04:21 time: 0.0596 data_time: 0.0143 memory: 2396 2023/03/11 01:21:51 - mmengine - INFO - Epoch(val) [10][2400/6282] eta: 0:04:19 time: 0.0511 data_time: 0.0052 memory: 2396 2023/03/11 01:21:52 - mmengine - INFO - Epoch(val) [10][2420/6282] eta: 0:04:17 time: 0.0493 data_time: 0.0022 memory: 2396 2023/03/11 01:21:53 - mmengine - INFO - Epoch(val) [10][2440/6282] eta: 0:04:15 time: 0.0506 data_time: 0.0030 memory: 2396 2023/03/11 01:21:54 - mmengine - INFO - Epoch(val) [10][2460/6282] eta: 0:04:14 time: 0.0723 data_time: 0.0115 memory: 2934 2023/03/11 01:21:56 - mmengine - INFO - Epoch(val) [10][2480/6282] eta: 0:04:13 time: 0.0687 data_time: 0.0077 memory: 2934 2023/03/11 01:21:57 - mmengine - INFO - Epoch(val) [10][2500/6282] eta: 0:04:12 time: 0.0641 data_time: 0.0031 memory: 2934 2023/03/11 01:21:58 - mmengine - INFO - Epoch(val) [10][2520/6282] eta: 0:04:10 time: 0.0684 data_time: 0.0038 memory: 2934 2023/03/11 01:22:00 - mmengine - INFO - Epoch(val) [10][2540/6282] eta: 0:04:09 time: 0.0642 data_time: 0.0029 memory: 2934 2023/03/11 01:22:02 - mmengine - INFO - Epoch(val) [10][2560/6282] eta: 0:04:09 time: 0.1106 data_time: 0.0471 memory: 2934 2023/03/11 01:22:04 - mmengine - INFO - Epoch(val) [10][2580/6282] eta: 0:04:08 time: 0.0929 data_time: 0.0318 memory: 2934 2023/03/11 01:22:06 - mmengine - INFO - Epoch(val) [10][2600/6282] eta: 0:04:08 time: 0.1017 data_time: 0.0374 memory: 2934 2023/03/11 01:22:07 - mmengine - INFO - Epoch(val) [10][2620/6282] eta: 0:04:07 time: 0.0796 data_time: 0.0188 memory: 2934 2023/03/11 01:22:09 - mmengine - INFO - Epoch(val) [10][2640/6282] eta: 0:04:06 time: 0.0937 data_time: 0.0058 memory: 2934 2023/03/11 01:22:11 - mmengine - INFO - Epoch(val) [10][2660/6282] eta: 0:04:05 time: 0.0841 data_time: 0.0022 memory: 3842 2023/03/11 01:22:13 - mmengine - INFO - Epoch(val) [10][2680/6282] eta: 0:04:04 time: 0.0847 data_time: 0.0027 memory: 3842 2023/03/11 01:22:14 - mmengine - INFO - Epoch(val) [10][2700/6282] eta: 0:04:04 time: 0.0847 data_time: 0.0027 memory: 3842 2023/03/11 01:22:16 - mmengine - INFO - Epoch(val) [10][2720/6282] eta: 0:04:03 time: 0.0848 data_time: 0.0033 memory: 3842 2023/03/11 01:22:18 - mmengine - INFO - Epoch(val) [10][2740/6282] eta: 0:04:02 time: 0.0803 data_time: 0.0025 memory: 3842 2023/03/11 01:22:19 - mmengine - INFO - Epoch(val) [10][2760/6282] eta: 0:04:00 time: 0.0490 data_time: 0.0023 memory: 2397 2023/03/11 01:22:20 - mmengine - INFO - Epoch(val) [10][2780/6282] eta: 0:03:58 time: 0.0525 data_time: 0.0020 memory: 2397 2023/03/11 01:22:21 - mmengine - INFO - Epoch(val) [10][2800/6282] eta: 0:03:56 time: 0.0606 data_time: 0.0133 memory: 2397 2023/03/11 01:22:22 - mmengine - INFO - Epoch(val) [10][2820/6282] eta: 0:03:55 time: 0.0531 data_time: 0.0054 memory: 2397 2023/03/11 01:22:23 - mmengine - INFO - Epoch(val) [10][2840/6282] eta: 0:03:53 time: 0.0509 data_time: 0.0030 memory: 2397 2023/03/11 01:22:24 - mmengine - INFO - Epoch(val) [10][2860/6282] eta: 0:03:51 time: 0.0625 data_time: 0.0055 memory: 2934 2023/03/11 01:22:26 - mmengine - INFO - Epoch(val) [10][2880/6282] eta: 0:03:50 time: 0.0724 data_time: 0.0111 memory: 2934 2023/03/11 01:22:27 - mmengine - INFO - Epoch(val) [10][2900/6282] eta: 0:03:49 time: 0.0690 data_time: 0.0088 memory: 2934 2023/03/11 01:22:28 - mmengine - INFO - Epoch(val) [10][2920/6282] eta: 0:03:47 time: 0.0626 data_time: 0.0092 memory: 2934 2023/03/11 01:22:30 - mmengine - INFO - Epoch(val) [10][2940/6282] eta: 0:03:46 time: 0.0665 data_time: 0.0137 memory: 2609 2023/03/11 01:22:31 - mmengine - INFO - Epoch(val) [10][2960/6282] eta: 0:03:45 time: 0.0618 data_time: 0.0104 memory: 2609 2023/03/11 01:22:32 - mmengine - INFO - Epoch(val) [10][2980/6282] eta: 0:03:43 time: 0.0571 data_time: 0.0078 memory: 2609 2023/03/11 01:22:33 - mmengine - INFO - Epoch(val) [10][3000/6282] eta: 0:03:41 time: 0.0597 data_time: 0.0104 memory: 2609 2023/03/11 01:22:35 - mmengine - INFO - Epoch(val) [10][3020/6282] eta: 0:03:40 time: 0.0736 data_time: 0.0130 memory: 2934 2023/03/11 01:22:37 - mmengine - INFO - Epoch(val) [10][3040/6282] eta: 0:03:40 time: 0.1105 data_time: 0.0500 memory: 2934 2023/03/11 01:22:38 - mmengine - INFO - Epoch(val) [10][3060/6282] eta: 0:03:38 time: 0.0614 data_time: 0.0019 memory: 2934 2023/03/11 01:22:40 - mmengine - INFO - Epoch(val) [10][3080/6282] eta: 0:03:37 time: 0.0663 data_time: 0.0021 memory: 2934 2023/03/11 01:22:41 - mmengine - INFO - Epoch(val) [10][3100/6282] eta: 0:03:35 time: 0.0560 data_time: 0.0021 memory: 2934 2023/03/11 01:22:42 - mmengine - INFO - Epoch(val) [10][3120/6282] eta: 0:03:34 time: 0.0560 data_time: 0.0095 memory: 2397 2023/03/11 01:22:43 - mmengine - INFO - Epoch(val) [10][3140/6282] eta: 0:03:32 time: 0.0567 data_time: 0.0100 memory: 2397 2023/03/11 01:22:44 - mmengine - INFO - Epoch(val) [10][3160/6282] eta: 0:03:30 time: 0.0541 data_time: 0.0080 memory: 2397 2023/03/11 01:22:45 - mmengine - INFO - Epoch(val) [10][3180/6282] eta: 0:03:29 time: 0.0555 data_time: 0.0087 memory: 2397 2023/03/11 01:22:47 - mmengine - INFO - Epoch(val) [10][3200/6282] eta: 0:03:28 time: 0.0685 data_time: 0.0125 memory: 2934 2023/03/11 01:22:49 - mmengine - INFO - Epoch(val) [10][3220/6282] eta: 0:03:28 time: 0.1389 data_time: 0.0762 memory: 2934 2023/03/11 01:22:51 - mmengine - INFO - Epoch(val) [10][3240/6282] eta: 0:03:26 time: 0.0652 data_time: 0.0027 memory: 2934 2023/03/11 01:22:52 - mmengine - INFO - Epoch(val) [10][3260/6282] eta: 0:03:25 time: 0.0659 data_time: 0.0024 memory: 2934 2023/03/11 01:22:53 - mmengine - INFO - Epoch(val) [10][3280/6282] eta: 0:03:23 time: 0.0643 data_time: 0.0024 memory: 2934 2023/03/11 01:22:55 - mmengine - INFO - Epoch(val) [10][3300/6282] eta: 0:03:22 time: 0.0705 data_time: 0.0088 memory: 2934 2023/03/11 01:22:56 - mmengine - INFO - Epoch(val) [10][3320/6282] eta: 0:03:21 time: 0.0660 data_time: 0.0022 memory: 2934 2023/03/11 01:22:57 - mmengine - INFO - Epoch(val) [10][3340/6282] eta: 0:03:19 time: 0.0645 data_time: 0.0021 memory: 2934 2023/03/11 01:22:59 - mmengine - INFO - Epoch(val) [10][3360/6282] eta: 0:03:18 time: 0.0676 data_time: 0.0022 memory: 2934 2023/03/11 01:23:00 - mmengine - INFO - Epoch(val) [10][3380/6282] eta: 0:03:16 time: 0.0592 data_time: 0.0021 memory: 2934 2023/03/11 01:23:01 - mmengine - INFO - Epoch(val) [10][3400/6282] eta: 0:03:15 time: 0.0486 data_time: 0.0020 memory: 2396 2023/03/11 01:23:02 - mmengine - INFO - Epoch(val) [10][3420/6282] eta: 0:03:13 time: 0.0574 data_time: 0.0105 memory: 2396 2023/03/11 01:23:04 - mmengine - INFO - Epoch(val) [10][3440/6282] eta: 0:03:13 time: 0.1127 data_time: 0.0645 memory: 2396 2023/03/11 01:23:06 - mmengine - INFO - Epoch(val) [10][3460/6282] eta: 0:03:11 time: 0.0701 data_time: 0.0249 memory: 2396 2023/03/11 01:23:07 - mmengine - INFO - Epoch(val) [10][3480/6282] eta: 0:03:10 time: 0.0640 data_time: 0.0175 memory: 2396 2023/03/11 01:23:08 - mmengine - INFO - Epoch(val) [10][3500/6282] eta: 0:03:08 time: 0.0599 data_time: 0.0130 memory: 2396 2023/03/11 01:23:09 - mmengine - INFO - Epoch(val) [10][3520/6282] eta: 0:03:07 time: 0.0618 data_time: 0.0155 memory: 2396 2023/03/11 01:23:11 - mmengine - INFO - Epoch(val) [10][3540/6282] eta: 0:03:05 time: 0.0625 data_time: 0.0167 memory: 2396 2023/03/11 01:23:12 - mmengine - INFO - Epoch(val) [10][3560/6282] eta: 0:03:04 time: 0.0631 data_time: 0.0181 memory: 2396 2023/03/11 01:23:13 - mmengine - INFO - Epoch(val) [10][3580/6282] eta: 0:03:03 time: 0.0615 data_time: 0.0122 memory: 2765 2023/03/11 01:23:14 - mmengine - INFO - Epoch(val) [10][3600/6282] eta: 0:03:01 time: 0.0666 data_time: 0.0120 memory: 2765 2023/03/11 01:23:16 - mmengine - INFO - Epoch(val) [10][3620/6282] eta: 0:03:00 time: 0.0631 data_time: 0.0056 memory: 2765 2023/03/11 01:23:17 - mmengine - INFO - Epoch(val) [10][3640/6282] eta: 0:02:58 time: 0.0601 data_time: 0.0026 memory: 2765 2023/03/11 01:23:18 - mmengine - INFO - Epoch(val) [10][3660/6282] eta: 0:02:57 time: 0.0592 data_time: 0.0024 memory: 2765 2023/03/11 01:23:21 - mmengine - INFO - Epoch(val) [10][3680/6282] eta: 0:02:56 time: 0.1193 data_time: 0.0027 memory: 2934 2023/03/11 01:23:22 - mmengine - INFO - Epoch(val) [10][3700/6282] eta: 0:02:55 time: 0.0644 data_time: 0.0034 memory: 2934 2023/03/11 01:23:23 - mmengine - INFO - Epoch(val) [10][3720/6282] eta: 0:02:53 time: 0.0649 data_time: 0.0030 memory: 2934 2023/03/11 01:23:24 - mmengine - INFO - Epoch(val) [10][3740/6282] eta: 0:02:52 time: 0.0640 data_time: 0.0031 memory: 2934 2023/03/11 01:23:26 - mmengine - INFO - Epoch(val) [10][3760/6282] eta: 0:02:51 time: 0.0655 data_time: 0.0035 memory: 2934 2023/03/11 01:23:27 - mmengine - INFO - Epoch(val) [10][3780/6282] eta: 0:02:49 time: 0.0637 data_time: 0.0030 memory: 2934 2023/03/11 01:23:28 - mmengine - INFO - Epoch(val) [10][3800/6282] eta: 0:02:48 time: 0.0647 data_time: 0.0032 memory: 2934 2023/03/11 01:23:30 - mmengine - INFO - Epoch(val) [10][3820/6282] eta: 0:02:46 time: 0.0638 data_time: 0.0030 memory: 2934 2023/03/11 01:23:31 - mmengine - INFO - Epoch(val) [10][3840/6282] eta: 0:02:45 time: 0.0654 data_time: 0.0033 memory: 2934 2023/03/11 01:23:32 - mmengine - INFO - Epoch(val) [10][3860/6282] eta: 0:02:44 time: 0.0642 data_time: 0.0032 memory: 2934 2023/03/11 01:23:34 - mmengine - INFO - Epoch(val) [10][3880/6282] eta: 0:02:42 time: 0.0634 data_time: 0.0030 memory: 2934 2023/03/11 01:23:35 - mmengine - INFO - Epoch(val) [10][3900/6282] eta: 0:02:41 time: 0.0626 data_time: 0.0028 memory: 2934 2023/03/11 01:23:36 - mmengine - INFO - Epoch(val) [10][3920/6282] eta: 0:02:39 time: 0.0660 data_time: 0.0025 memory: 2934 2023/03/11 01:23:37 - mmengine - INFO - Epoch(val) [10][3940/6282] eta: 0:02:38 time: 0.0628 data_time: 0.0026 memory: 2934 2023/03/11 01:23:39 - mmengine - INFO - Epoch(val) [10][3960/6282] eta: 0:02:37 time: 0.0622 data_time: 0.0024 memory: 2934 2023/03/11 01:23:40 - mmengine - INFO - Epoch(val) [10][3980/6282] eta: 0:02:35 time: 0.0623 data_time: 0.0023 memory: 2934 2023/03/11 01:23:41 - mmengine - INFO - Epoch(val) [10][4000/6282] eta: 0:02:34 time: 0.0636 data_time: 0.0023 memory: 2934 2023/03/11 01:23:42 - mmengine - INFO - Epoch(val) [10][4020/6282] eta: 0:02:32 time: 0.0613 data_time: 0.0021 memory: 2934 2023/03/11 01:23:44 - mmengine - INFO - Epoch(val) [10][4040/6282] eta: 0:02:31 time: 0.0647 data_time: 0.0021 memory: 3842 2023/03/11 01:23:45 - mmengine - INFO - Epoch(val) [10][4060/6282] eta: 0:02:30 time: 0.0835 data_time: 0.0023 memory: 3842 2023/03/11 01:23:47 - mmengine - INFO - Epoch(val) [10][4080/6282] eta: 0:02:29 time: 0.0835 data_time: 0.0024 memory: 3842 2023/03/11 01:23:49 - mmengine - INFO - Epoch(val) [10][4100/6282] eta: 0:02:27 time: 0.0854 data_time: 0.0026 memory: 3842 2023/03/11 01:23:50 - mmengine - INFO - Epoch(val) [10][4120/6282] eta: 0:02:26 time: 0.0839 data_time: 0.0026 memory: 3842 2023/03/11 01:23:52 - mmengine - INFO - Epoch(val) [10][4140/6282] eta: 0:02:25 time: 0.0692 data_time: 0.0024 memory: 3842 2023/03/11 01:23:53 - mmengine - INFO - Epoch(val) [10][4160/6282] eta: 0:02:23 time: 0.0487 data_time: 0.0022 memory: 2396 2023/03/11 01:23:54 - mmengine - INFO - Epoch(val) [10][4180/6282] eta: 0:02:22 time: 0.0503 data_time: 0.0022 memory: 2396 2023/03/11 01:23:55 - mmengine - INFO - Epoch(val) [10][4200/6282] eta: 0:02:20 time: 0.0732 data_time: 0.0237 memory: 2396 2023/03/11 01:23:56 - mmengine - INFO - Epoch(val) [10][4220/6282] eta: 0:02:19 time: 0.0585 data_time: 0.0136 memory: 2396 2023/03/11 01:23:58 - mmengine - INFO - Epoch(val) [10][4240/6282] eta: 0:02:18 time: 0.0564 data_time: 0.0105 memory: 2396 2023/03/11 01:23:59 - mmengine - INFO - Epoch(val) [10][4260/6282] eta: 0:02:16 time: 0.0689 data_time: 0.0214 memory: 2396 2023/03/11 01:24:00 - mmengine - INFO - Epoch(val) [10][4280/6282] eta: 0:02:15 time: 0.0662 data_time: 0.0213 memory: 2396 2023/03/11 01:24:02 - mmengine - INFO - Epoch(val) [10][4300/6282] eta: 0:02:13 time: 0.0658 data_time: 0.0209 memory: 2396 2023/03/11 01:24:03 - mmengine - INFO - Epoch(val) [10][4320/6282] eta: 0:02:12 time: 0.0586 data_time: 0.0113 memory: 2396 2023/03/11 01:24:04 - mmengine - INFO - Epoch(val) [10][4340/6282] eta: 0:02:11 time: 0.0586 data_time: 0.0106 memory: 2396 2023/03/11 01:24:05 - mmengine - INFO - Epoch(val) [10][4360/6282] eta: 0:02:09 time: 0.0662 data_time: 0.0051 memory: 2934 2023/03/11 01:24:07 - mmengine - INFO - Epoch(val) [10][4380/6282] eta: 0:02:08 time: 0.0662 data_time: 0.0048 memory: 2934 2023/03/11 01:24:08 - mmengine - INFO - Epoch(val) [10][4400/6282] eta: 0:02:07 time: 0.0623 data_time: 0.0025 memory: 2934 2023/03/11 01:24:09 - mmengine - INFO - Epoch(val) [10][4420/6282] eta: 0:02:05 time: 0.0619 data_time: 0.0021 memory: 2934 2023/03/11 01:24:10 - mmengine - INFO - Epoch(val) [10][4440/6282] eta: 0:02:04 time: 0.0635 data_time: 0.0024 memory: 3023 2023/03/11 01:24:12 - mmengine - INFO - Epoch(val) [10][4460/6282] eta: 0:02:02 time: 0.0643 data_time: 0.0023 memory: 3023 2023/03/11 01:24:13 - mmengine - INFO - Epoch(val) [10][4480/6282] eta: 0:02:01 time: 0.0639 data_time: 0.0022 memory: 3023 2023/03/11 01:24:14 - mmengine - INFO - Epoch(val) [10][4500/6282] eta: 0:02:00 time: 0.0643 data_time: 0.0024 memory: 3023 2023/03/11 01:24:15 - mmengine - INFO - Epoch(val) [10][4520/6282] eta: 0:01:58 time: 0.0603 data_time: 0.0023 memory: 3023 2023/03/11 01:24:16 - mmengine - INFO - Epoch(val) [10][4540/6282] eta: 0:01:57 time: 0.0482 data_time: 0.0022 memory: 2464 2023/03/11 01:24:17 - mmengine - INFO - Epoch(val) [10][4560/6282] eta: 0:01:55 time: 0.0515 data_time: 0.0042 memory: 2464 2023/03/11 01:24:19 - mmengine - INFO - Epoch(val) [10][4580/6282] eta: 0:01:54 time: 0.0588 data_time: 0.0099 memory: 2464 2023/03/11 01:24:20 - mmengine - INFO - Epoch(val) [10][4600/6282] eta: 0:01:52 time: 0.0610 data_time: 0.0108 memory: 2464 2023/03/11 01:24:21 - mmengine - INFO - Epoch(val) [10][4620/6282] eta: 0:01:51 time: 0.0584 data_time: 0.0123 memory: 2464 2023/03/11 01:24:22 - mmengine - INFO - Epoch(val) [10][4640/6282] eta: 0:01:50 time: 0.0642 data_time: 0.0022 memory: 3023 2023/03/11 01:24:24 - mmengine - INFO - Epoch(val) [10][4660/6282] eta: 0:01:48 time: 0.0672 data_time: 0.0027 memory: 3023 2023/03/11 01:24:25 - mmengine - INFO - Epoch(val) [10][4680/6282] eta: 0:01:47 time: 0.0655 data_time: 0.0022 memory: 3023 2023/03/11 01:24:26 - mmengine - INFO - Epoch(val) [10][4700/6282] eta: 0:01:46 time: 0.0642 data_time: 0.0023 memory: 3023 2023/03/11 01:24:28 - mmengine - INFO - Epoch(val) [10][4720/6282] eta: 0:01:44 time: 0.0641 data_time: 0.0024 memory: 3023 2023/03/11 01:24:29 - mmengine - INFO - Epoch(val) [10][4740/6282] eta: 0:01:43 time: 0.0531 data_time: 0.0024 memory: 2609 2023/03/11 01:24:30 - mmengine - INFO - Epoch(val) [10][4760/6282] eta: 0:01:41 time: 0.0514 data_time: 0.0021 memory: 2609 2023/03/11 01:24:31 - mmengine - INFO - Epoch(val) [10][4780/6282] eta: 0:01:40 time: 0.0527 data_time: 0.0022 memory: 2609 2023/03/11 01:24:32 - mmengine - INFO - Epoch(val) [10][4800/6282] eta: 0:01:39 time: 0.0516 data_time: 0.0022 memory: 2609 2023/03/11 01:24:33 - mmengine - INFO - Epoch(val) [10][4820/6282] eta: 0:01:37 time: 0.0571 data_time: 0.0023 memory: 2934 2023/03/11 01:24:34 - mmengine - INFO - Epoch(val) [10][4840/6282] eta: 0:01:36 time: 0.0633 data_time: 0.0023 memory: 2934 2023/03/11 01:24:36 - mmengine - INFO - Epoch(val) [10][4860/6282] eta: 0:01:34 time: 0.0663 data_time: 0.0024 memory: 2934 2023/03/11 01:24:37 - mmengine - INFO - Epoch(val) [10][4880/6282] eta: 0:01:33 time: 0.0639 data_time: 0.0027 memory: 2934 2023/03/11 01:24:38 - mmengine - INFO - Epoch(val) [10][4900/6282] eta: 0:01:32 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 01:24:39 - mmengine - INFO - Epoch(val) [10][4920/6282] eta: 0:01:30 time: 0.0627 data_time: 0.0024 memory: 2934 2023/03/11 01:24:41 - mmengine - INFO - Epoch(val) [10][4940/6282] eta: 0:01:29 time: 0.0632 data_time: 0.0025 memory: 2934 2023/03/11 01:24:42 - mmengine - INFO - Epoch(val) [10][4960/6282] eta: 0:01:28 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 01:24:43 - mmengine - INFO - Epoch(val) [10][4980/6282] eta: 0:01:26 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/11 01:24:44 - mmengine - INFO - Epoch(val) [10][5000/6282] eta: 0:01:25 time: 0.0636 data_time: 0.0024 memory: 2934 2023/03/11 01:24:46 - mmengine - INFO - Epoch(val) [10][5020/6282] eta: 0:01:24 time: 0.0590 data_time: 0.0044 memory: 2934 2023/03/11 01:24:47 - mmengine - INFO - Epoch(val) [10][5040/6282] eta: 0:01:22 time: 0.0820 data_time: 0.0357 memory: 2397 2023/03/11 01:24:48 - mmengine - INFO - Epoch(val) [10][5060/6282] eta: 0:01:21 time: 0.0557 data_time: 0.0099 memory: 2397 2023/03/11 01:24:49 - mmengine - INFO - Epoch(val) [10][5080/6282] eta: 0:01:20 time: 0.0581 data_time: 0.0105 memory: 2397 2023/03/11 01:24:51 - mmengine - INFO - Epoch(val) [10][5100/6282] eta: 0:01:18 time: 0.0605 data_time: 0.0151 memory: 2397 2023/03/11 01:24:52 - mmengine - INFO - Epoch(val) [10][5120/6282] eta: 0:01:17 time: 0.0589 data_time: 0.0139 memory: 2397 2023/03/11 01:24:53 - mmengine - INFO - Epoch(val) [10][5140/6282] eta: 0:01:15 time: 0.0568 data_time: 0.0091 memory: 2396 2023/03/11 01:24:54 - mmengine - INFO - Epoch(val) [10][5160/6282] eta: 0:01:14 time: 0.0615 data_time: 0.0165 memory: 2396 2023/03/11 01:24:55 - mmengine - INFO - Epoch(val) [10][5180/6282] eta: 0:01:13 time: 0.0567 data_time: 0.0092 memory: 2396 2023/03/11 01:24:57 - mmengine - INFO - Epoch(val) [10][5200/6282] eta: 0:01:11 time: 0.0572 data_time: 0.0122 memory: 2396 2023/03/11 01:24:58 - mmengine - INFO - Epoch(val) [10][5220/6282] eta: 0:01:10 time: 0.0552 data_time: 0.0102 memory: 2396 2023/03/11 01:24:59 - mmengine - INFO - Epoch(val) [10][5240/6282] eta: 0:01:09 time: 0.0610 data_time: 0.0149 memory: 2396 2023/03/11 01:25:00 - mmengine - INFO - Epoch(val) [10][5260/6282] eta: 0:01:07 time: 0.0623 data_time: 0.0157 memory: 2396 2023/03/11 01:25:02 - mmengine - INFO - Epoch(val) [10][5280/6282] eta: 0:01:06 time: 0.0837 data_time: 0.0369 memory: 2396 2023/03/11 01:25:03 - mmengine - INFO - Epoch(val) [10][5300/6282] eta: 0:01:05 time: 0.0573 data_time: 0.0122 memory: 2396 2023/03/11 01:25:04 - mmengine - INFO - Epoch(val) [10][5320/6282] eta: 0:01:03 time: 0.0633 data_time: 0.0183 memory: 2396 2023/03/11 01:25:05 - mmengine - INFO - Epoch(val) [10][5340/6282] eta: 0:01:02 time: 0.0575 data_time: 0.0125 memory: 2396 2023/03/11 01:25:07 - mmengine - INFO - Epoch(val) [10][5360/6282] eta: 0:01:01 time: 0.0612 data_time: 0.0154 memory: 2396 2023/03/11 01:25:08 - mmengine - INFO - Epoch(val) [10][5380/6282] eta: 0:00:59 time: 0.0539 data_time: 0.0085 memory: 2396 2023/03/11 01:25:09 - mmengine - INFO - Epoch(val) [10][5400/6282] eta: 0:00:58 time: 0.0611 data_time: 0.0150 memory: 2396 2023/03/11 01:25:10 - mmengine - INFO - Epoch(val) [10][5420/6282] eta: 0:00:57 time: 0.0590 data_time: 0.0139 memory: 2396 2023/03/11 01:25:11 - mmengine - INFO - Epoch(val) [10][5440/6282] eta: 0:00:55 time: 0.0605 data_time: 0.0137 memory: 2396 2023/03/11 01:25:12 - mmengine - INFO - Epoch(val) [10][5460/6282] eta: 0:00:54 time: 0.0558 data_time: 0.0080 memory: 2396 2023/03/11 01:25:14 - mmengine - INFO - Epoch(val) [10][5480/6282] eta: 0:00:53 time: 0.0617 data_time: 0.0165 memory: 2396 2023/03/11 01:25:15 - mmengine - INFO - Epoch(val) [10][5500/6282] eta: 0:00:51 time: 0.0776 data_time: 0.0285 memory: 2396 2023/03/11 01:25:16 - mmengine - INFO - Epoch(val) [10][5520/6282] eta: 0:00:50 time: 0.0595 data_time: 0.0094 memory: 2608 2023/03/11 01:25:18 - mmengine - INFO - Epoch(val) [10][5540/6282] eta: 0:00:49 time: 0.0587 data_time: 0.0083 memory: 2608 2023/03/11 01:25:19 - mmengine - INFO - Epoch(val) [10][5560/6282] eta: 0:00:47 time: 0.0622 data_time: 0.0113 memory: 2608 2023/03/11 01:25:20 - mmengine - INFO - Epoch(val) [10][5580/6282] eta: 0:00:46 time: 0.0596 data_time: 0.0096 memory: 2608 2023/03/11 01:25:21 - mmengine - INFO - Epoch(val) [10][5600/6282] eta: 0:00:45 time: 0.0626 data_time: 0.0133 memory: 2608 2023/03/11 01:25:22 - mmengine - INFO - Epoch(val) [10][5620/6282] eta: 0:00:43 time: 0.0558 data_time: 0.0094 memory: 2608 2023/03/11 01:25:24 - mmengine - INFO - Epoch(val) [10][5640/6282] eta: 0:00:42 time: 0.0636 data_time: 0.0178 memory: 2396 2023/03/11 01:25:25 - mmengine - INFO - Epoch(val) [10][5660/6282] eta: 0:00:41 time: 0.0601 data_time: 0.0123 memory: 2396 2023/03/11 01:25:26 - mmengine - INFO - Epoch(val) [10][5680/6282] eta: 0:00:39 time: 0.0642 data_time: 0.0167 memory: 2396 2023/03/11 01:25:27 - mmengine - INFO - Epoch(val) [10][5700/6282] eta: 0:00:38 time: 0.0632 data_time: 0.0138 memory: 2396 2023/03/11 01:25:29 - mmengine - INFO - Epoch(val) [10][5720/6282] eta: 0:00:37 time: 0.0637 data_time: 0.0145 memory: 2686 2023/03/11 01:25:30 - mmengine - INFO - Epoch(val) [10][5740/6282] eta: 0:00:35 time: 0.0630 data_time: 0.0083 memory: 2686 2023/03/11 01:25:31 - mmengine - INFO - Epoch(val) [10][5760/6282] eta: 0:00:34 time: 0.0639 data_time: 0.0109 memory: 2686 2023/03/11 01:25:32 - mmengine - INFO - Epoch(val) [10][5780/6282] eta: 0:00:33 time: 0.0574 data_time: 0.0019 memory: 2686 2023/03/11 01:25:34 - mmengine - INFO - Epoch(val) [10][5800/6282] eta: 0:00:31 time: 0.0585 data_time: 0.0031 memory: 2686 2023/03/11 01:25:35 - mmengine - INFO - Epoch(val) [10][5820/6282] eta: 0:00:30 time: 0.0724 data_time: 0.0213 memory: 2686 2023/03/11 01:25:36 - mmengine - INFO - Epoch(val) [10][5840/6282] eta: 0:00:29 time: 0.0617 data_time: 0.0101 memory: 2608 2023/03/11 01:25:38 - mmengine - INFO - Epoch(val) [10][5860/6282] eta: 0:00:27 time: 0.0600 data_time: 0.0096 memory: 2608 2023/03/11 01:25:39 - mmengine - INFO - Epoch(val) [10][5880/6282] eta: 0:00:26 time: 0.0656 data_time: 0.0118 memory: 2608 2023/03/11 01:25:40 - mmengine - INFO - Epoch(val) [10][5900/6282] eta: 0:00:25 time: 0.0640 data_time: 0.0144 memory: 2608 2023/03/11 01:25:41 - mmengine - INFO - Epoch(val) [10][5920/6282] eta: 0:00:23 time: 0.0581 data_time: 0.0094 memory: 2608 2023/03/11 01:25:43 - mmengine - INFO - Epoch(val) [10][5940/6282] eta: 0:00:22 time: 0.0597 data_time: 0.0133 memory: 2396 2023/03/11 01:25:44 - mmengine - INFO - Epoch(val) [10][5960/6282] eta: 0:00:21 time: 0.0605 data_time: 0.0154 memory: 2396 2023/03/11 01:25:45 - mmengine - INFO - Epoch(val) [10][5980/6282] eta: 0:00:19 time: 0.0654 data_time: 0.0164 memory: 2396 2023/03/11 01:25:46 - mmengine - INFO - Epoch(val) [10][6000/6282] eta: 0:00:18 time: 0.0681 data_time: 0.0091 memory: 2934 2023/03/11 01:25:48 - mmengine - INFO - Epoch(val) [10][6020/6282] eta: 0:00:17 time: 0.0662 data_time: 0.0023 memory: 2934 2023/03/11 01:25:49 - mmengine - INFO - Epoch(val) [10][6040/6282] eta: 0:00:15 time: 0.0644 data_time: 0.0027 memory: 2934 2023/03/11 01:25:50 - mmengine - INFO - Epoch(val) [10][6060/6282] eta: 0:00:14 time: 0.0668 data_time: 0.0028 memory: 2934 2023/03/11 01:25:52 - mmengine - INFO - Epoch(val) [10][6080/6282] eta: 0:00:13 time: 0.0635 data_time: 0.0029 memory: 2934 2023/03/11 01:25:53 - mmengine - INFO - Epoch(val) [10][6100/6282] eta: 0:00:11 time: 0.0651 data_time: 0.0029 memory: 2934 2023/03/11 01:25:54 - mmengine - INFO - Epoch(val) [10][6120/6282] eta: 0:00:10 time: 0.0646 data_time: 0.0029 memory: 2934 2023/03/11 01:25:56 - mmengine - INFO - Epoch(val) [10][6140/6282] eta: 0:00:09 time: 0.0696 data_time: 0.0029 memory: 2934 2023/03/11 01:25:57 - mmengine - INFO - Epoch(val) [10][6160/6282] eta: 0:00:08 time: 0.0660 data_time: 0.0039 memory: 2934 2023/03/11 01:25:58 - mmengine - INFO - Epoch(val) [10][6180/6282] eta: 0:00:06 time: 0.0667 data_time: 0.0072 memory: 2934 2023/03/11 01:26:00 - mmengine - INFO - Epoch(val) [10][6200/6282] eta: 0:00:05 time: 0.0617 data_time: 0.0021 memory: 2934 2023/03/11 01:26:01 - mmengine - INFO - Epoch(val) [10][6220/6282] eta: 0:00:04 time: 0.0635 data_time: 0.0021 memory: 2934 2023/03/11 01:26:02 - mmengine - INFO - Epoch(val) [10][6240/6282] eta: 0:00:02 time: 0.0614 data_time: 0.0021 memory: 2934 2023/03/11 01:26:03 - mmengine - INFO - Epoch(val) [10][6260/6282] eta: 0:00:01 time: 0.0633 data_time: 0.0019 memory: 2934 2023/03/11 01:26:05 - mmengine - INFO - Epoch(val) [10][6280/6282] eta: 0:00:00 time: 0.0607 data_time: 0.0018 memory: 2934 2023/03/11 01:28:45 - mmengine - INFO - Epoch(val) [10][6282/6282] mAP/mAP@0.5IOU: 0.3300 2023/03/11 01:28:45 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_8.pth is removed 2023/03/11 01:28:48 - mmengine - INFO - The best checkpoint with 0.3300 mAP/mAP@0.5IOU at 10 epoch is saved to best_mAP/mAP@0.5IOU_epoch_10.pth. 2023/03/11 01:29:06 - mmengine - INFO - Epoch(train) [11][ 20/4451] lr: 2.2261e-06 eta: 8:20:54 time: 0.8709 data_time: 0.4513 memory: 51970 grad_norm: 0.1370 loss: 0.0373 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.5926 recall@top3: 0.7963 prec@top3: 0.5741 recall@top5: 0.9074 prec@top5: 0.3889 loss_action_cls: 0.0373 2023/03/11 01:29:18 - mmengine - INFO - Epoch(train) [11][ 40/4451] lr: 2.2249e-06 eta: 8:20:40 time: 0.6453 data_time: 0.2210 memory: 51970 grad_norm: 0.1315 loss: 0.0348 recall@thr=0.5: 0.7867 prec@thr=0.5: 0.8133 recall@top3: 0.8467 prec@top3: 0.6400 recall@top5: 0.8967 prec@top5: 0.4160 loss_action_cls: 0.0348 2023/03/11 01:29:32 - mmengine - INFO - Epoch(train) [11][ 60/4451] lr: 2.2237e-06 eta: 8:20:26 time: 0.6808 data_time: 0.2576 memory: 51970 grad_norm: 0.1389 loss: 0.0358 recall@thr=0.5: 0.6012 prec@thr=0.5: 0.6190 recall@top3: 0.7857 prec@top3: 0.4881 recall@top5: 0.8214 prec@top5: 0.3071 loss_action_cls: 0.0358 2023/03/11 01:29:45 - mmengine - INFO - Epoch(train) [11][ 80/4451] lr: 2.2225e-06 eta: 8:20:12 time: 0.6463 data_time: 0.2218 memory: 51970 grad_norm: 0.1331 loss: 0.0303 recall@thr=0.5: 0.6544 prec@thr=0.5: 0.8772 recall@top3: 0.7333 prec@top3: 0.6842 recall@top5: 0.9281 prec@top5: 0.5684 loss_action_cls: 0.0303 2023/03/11 01:29:59 - mmengine - INFO - Epoch(train) [11][ 100/4451] lr: 2.2212e-06 eta: 8:19:59 time: 0.7067 data_time: 0.2576 memory: 51970 grad_norm: 0.1328 loss: 0.0302 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7708 recall@top3: 0.9375 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.3875 loss_action_cls: 0.0302 2023/03/11 01:30:11 - mmengine - INFO - Epoch(train) [11][ 120/4451] lr: 2.2200e-06 eta: 8:19:45 time: 0.6155 data_time: 0.1321 memory: 51970 grad_norm: 0.1346 loss: 0.0350 recall@thr=0.5: 0.6402 prec@thr=0.5: 0.7386 recall@top3: 0.8598 prec@top3: 0.7273 recall@top5: 0.9394 prec@top5: 0.4909 loss_action_cls: 0.0350 2023/03/11 01:30:26 - mmengine - INFO - Epoch(train) [11][ 140/4451] lr: 2.2188e-06 eta: 8:19:32 time: 0.7322 data_time: 0.1059 memory: 51970 grad_norm: 0.1375 loss: 0.0344 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7778 recall@top3: 0.8519 prec@top3: 0.7593 recall@top5: 0.9537 prec@top5: 0.5000 loss_action_cls: 0.0344 2023/03/11 01:30:38 - mmengine - INFO - Epoch(train) [11][ 160/4451] lr: 2.2176e-06 eta: 8:19:18 time: 0.6180 data_time: 0.1377 memory: 51970 grad_norm: 0.1405 loss: 0.0323 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.8043 recall@top3: 0.7899 prec@top3: 0.5652 recall@top5: 0.9384 prec@top5: 0.4174 loss_action_cls: 0.0323 2023/03/11 01:30:53 - mmengine - INFO - Epoch(train) [11][ 180/4451] lr: 2.2164e-06 eta: 8:19:05 time: 0.7012 data_time: 0.1112 memory: 51970 grad_norm: 0.1325 loss: 0.0328 recall@thr=0.5: 0.6989 prec@thr=0.5: 0.8278 recall@top3: 0.8622 prec@top3: 0.6222 recall@top5: 0.9289 prec@top5: 0.4133 loss_action_cls: 0.0328 2023/03/11 01:31:04 - mmengine - INFO - Epoch(train) [11][ 200/4451] lr: 2.2152e-06 eta: 8:18:49 time: 0.5754 data_time: 0.0469 memory: 51970 grad_norm: 0.1347 loss: 0.0365 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7593 recall@top3: 0.8704 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0365 2023/03/11 01:31:16 - mmengine - INFO - Epoch(train) [11][ 220/4451] lr: 2.2140e-06 eta: 8:18:35 time: 0.6179 data_time: 0.1550 memory: 51970 grad_norm: 0.1359 loss: 0.0348 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.6701 recall@top3: 0.7056 prec@top3: 0.6528 recall@top5: 0.8715 prec@top5: 0.5083 loss_action_cls: 0.0348 2023/03/11 01:31:29 - mmengine - INFO - Epoch(train) [11][ 240/4451] lr: 2.2127e-06 eta: 8:18:20 time: 0.6290 data_time: 0.2020 memory: 51970 grad_norm: 0.1346 loss: 0.0357 recall@thr=0.5: 0.6065 prec@thr=0.5: 0.7037 recall@top3: 0.6435 prec@top3: 0.5556 recall@top5: 0.7870 prec@top5: 0.4222 loss_action_cls: 0.0357 2023/03/11 01:31:43 - mmengine - INFO - Epoch(train) [11][ 260/4451] lr: 2.2115e-06 eta: 8:18:07 time: 0.7135 data_time: 0.2832 memory: 51970 grad_norm: 0.1358 loss: 0.0340 recall@thr=0.5: 0.7298 prec@thr=0.5: 0.7377 recall@top3: 0.8140 prec@top3: 0.6842 recall@top5: 0.8702 prec@top5: 0.4526 loss_action_cls: 0.0340 2023/03/11 01:31:57 - mmengine - INFO - Epoch(train) [11][ 280/4451] lr: 2.2103e-06 eta: 8:17:54 time: 0.6655 data_time: 0.2386 memory: 51970 grad_norm: 0.1301 loss: 0.0337 recall@thr=0.5: 0.9537 prec@thr=0.5: 0.9352 recall@top3: 0.9537 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0337 2023/03/11 01:32:09 - mmengine - INFO - Epoch(train) [11][ 300/4451] lr: 2.2091e-06 eta: 8:17:39 time: 0.6420 data_time: 0.2155 memory: 51970 grad_norm: 0.1375 loss: 0.0338 recall@thr=0.5: 0.4917 prec@thr=0.5: 0.6000 recall@top3: 0.5917 prec@top3: 0.4667 recall@top5: 0.8167 prec@top5: 0.3900 loss_action_cls: 0.0338 2023/03/11 01:32:22 - mmengine - INFO - Epoch(train) [11][ 320/4451] lr: 2.2079e-06 eta: 8:17:25 time: 0.6046 data_time: 0.1751 memory: 51970 grad_norm: 0.1311 loss: 0.0375 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.6667 recall@top3: 0.7719 prec@top3: 0.5263 recall@top5: 0.8947 prec@top5: 0.3684 loss_action_cls: 0.0375 2023/03/11 01:32:36 - mmengine - INFO - Epoch(train) [11][ 340/4451] lr: 2.2066e-06 eta: 8:17:12 time: 0.7150 data_time: 0.2274 memory: 51970 grad_norm: 0.1388 loss: 0.0366 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.7619 recall@top3: 0.8690 prec@top3: 0.7143 recall@top5: 0.9583 prec@top5: 0.4857 loss_action_cls: 0.0366 2023/03/11 01:32:47 - mmengine - INFO - Epoch(train) [11][ 360/4451] lr: 2.2054e-06 eta: 8:16:57 time: 0.5839 data_time: 0.1204 memory: 51970 grad_norm: 0.1364 loss: 0.0288 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8442 recall@top3: 0.8623 prec@top3: 0.7826 recall@top5: 1.0000 prec@top5: 0.5478 loss_action_cls: 0.0288 2023/03/11 01:33:00 - mmengine - INFO - Epoch(train) [11][ 380/4451] lr: 2.2042e-06 eta: 8:16:42 time: 0.6257 data_time: 0.1836 memory: 51970 grad_norm: 0.1327 loss: 0.0328 recall@thr=0.5: 0.7844 prec@thr=0.5: 0.8444 recall@top3: 0.9078 prec@top3: 0.7778 recall@top5: 0.9733 prec@top5: 0.5200 loss_action_cls: 0.0328 2023/03/11 01:33:13 - mmengine - INFO - Epoch(train) [11][ 400/4451] lr: 2.2030e-06 eta: 8:16:28 time: 0.6301 data_time: 0.0942 memory: 51970 grad_norm: 0.1397 loss: 0.0368 recall@thr=0.5: 0.6373 prec@thr=0.5: 0.8431 recall@top3: 0.8039 prec@top3: 0.6863 recall@top5: 0.8873 prec@top5: 0.4588 loss_action_cls: 0.0368 2023/03/11 01:33:26 - mmengine - INFO - Epoch(train) [11][ 420/4451] lr: 2.2017e-06 eta: 8:16:14 time: 0.6557 data_time: 0.0381 memory: 51970 grad_norm: 0.1305 loss: 0.0325 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.7428 recall@top3: 0.7935 prec@top3: 0.6377 recall@top5: 0.8696 prec@top5: 0.4348 loss_action_cls: 0.0325 2023/03/11 01:33:39 - mmengine - INFO - Epoch(train) [11][ 440/4451] lr: 2.2005e-06 eta: 8:16:00 time: 0.6397 data_time: 0.0336 memory: 51970 grad_norm: 0.1314 loss: 0.0334 recall@thr=0.5: 0.5571 prec@thr=0.5: 0.6429 recall@top3: 0.7190 prec@top3: 0.5619 recall@top5: 0.8571 prec@top5: 0.4114 loss_action_cls: 0.0334 2023/03/11 01:33:53 - mmengine - INFO - Epoch(train) [11][ 460/4451] lr: 2.1993e-06 eta: 8:15:47 time: 0.7298 data_time: 0.0141 memory: 51970 grad_norm: 0.1366 loss: 0.0320 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.5476 recall@top3: 0.7262 prec@top3: 0.5000 recall@top5: 0.8214 prec@top5: 0.3286 loss_action_cls: 0.0320 2023/03/11 01:34:05 - mmengine - INFO - Epoch(train) [11][ 480/4451] lr: 2.1981e-06 eta: 8:15:32 time: 0.5951 data_time: 0.0122 memory: 51970 grad_norm: 0.1351 loss: 0.0363 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.9107 recall@top3: 0.9167 prec@top3: 0.7143 recall@top5: 0.9405 prec@top5: 0.4429 loss_action_cls: 0.0363 2023/03/11 01:34:13 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 01:34:20 - mmengine - INFO - Epoch(train) [11][ 500/4451] lr: 2.1968e-06 eta: 8:15:20 time: 0.7503 data_time: 0.0115 memory: 51970 grad_norm: 0.1337 loss: 0.0338 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7118 recall@top3: 0.8507 prec@top3: 0.5556 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0338 2023/03/11 01:34:33 - mmengine - INFO - Epoch(train) [11][ 520/4451] lr: 2.1956e-06 eta: 8:15:06 time: 0.6408 data_time: 0.0488 memory: 51970 grad_norm: 0.1341 loss: 0.0321 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.8730 recall@top3: 0.8571 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4952 loss_action_cls: 0.0321 2023/03/11 01:34:46 - mmengine - INFO - Epoch(train) [11][ 540/4451] lr: 2.1944e-06 eta: 8:14:52 time: 0.6382 data_time: 0.0854 memory: 51970 grad_norm: 0.1360 loss: 0.0332 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7135 recall@top3: 0.9323 prec@top3: 0.6771 recall@top5: 0.9792 prec@top5: 0.4375 loss_action_cls: 0.0332 2023/03/11 01:34:58 - mmengine - INFO - Epoch(train) [11][ 560/4451] lr: 2.1932e-06 eta: 8:14:37 time: 0.6430 data_time: 0.0872 memory: 51970 grad_norm: 0.1373 loss: 0.0316 recall@thr=0.5: 0.8117 prec@thr=0.5: 0.8500 recall@top3: 0.7983 prec@top3: 0.6333 recall@top5: 0.9233 prec@top5: 0.4700 loss_action_cls: 0.0316 2023/03/11 01:35:13 - mmengine - INFO - Epoch(train) [11][ 580/4451] lr: 2.1919e-06 eta: 8:14:25 time: 0.7379 data_time: 0.0387 memory: 51970 grad_norm: 0.1419 loss: 0.0347 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.6795 recall@top3: 0.8077 prec@top3: 0.6026 recall@top5: 0.9487 prec@top5: 0.4308 loss_action_cls: 0.0347 2023/03/11 01:35:25 - mmengine - INFO - Epoch(train) [11][ 600/4451] lr: 2.1907e-06 eta: 8:14:10 time: 0.5907 data_time: 0.0165 memory: 51970 grad_norm: 0.1299 loss: 0.0352 recall@thr=0.5: 0.6322 prec@thr=0.5: 0.6207 recall@top3: 0.8305 prec@top3: 0.6552 recall@top5: 0.9052 prec@top5: 0.4345 loss_action_cls: 0.0352 2023/03/11 01:35:38 - mmengine - INFO - Epoch(train) [11][ 620/4451] lr: 2.1895e-06 eta: 8:13:56 time: 0.6485 data_time: 0.0120 memory: 51970 grad_norm: 0.1328 loss: 0.0348 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7333 recall@top3: 0.8000 prec@top3: 0.7222 recall@top5: 0.9167 prec@top5: 0.5133 loss_action_cls: 0.0348 2023/03/11 01:35:53 - mmengine - INFO - Epoch(train) [11][ 640/4451] lr: 2.1882e-06 eta: 8:13:44 time: 0.7274 data_time: 0.0129 memory: 51970 grad_norm: 0.1374 loss: 0.0311 recall@thr=0.5: 0.7924 prec@thr=0.5: 0.7727 recall@top3: 0.7167 prec@top3: 0.6818 recall@top5: 0.8909 prec@top5: 0.5455 loss_action_cls: 0.0311 2023/03/11 01:36:06 - mmengine - INFO - Epoch(train) [11][ 660/4451] lr: 2.1870e-06 eta: 8:13:30 time: 0.6534 data_time: 0.0128 memory: 51970 grad_norm: 0.1376 loss: 0.0351 recall@thr=0.5: 0.7373 prec@thr=0.5: 0.7941 recall@top3: 0.8745 prec@top3: 0.7255 recall@top5: 0.9765 prec@top5: 0.4941 loss_action_cls: 0.0351 2023/03/11 01:36:17 - mmengine - INFO - Epoch(train) [11][ 680/4451] lr: 2.1858e-06 eta: 8:13:14 time: 0.5879 data_time: 0.0155 memory: 51970 grad_norm: 0.1310 loss: 0.0343 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8333 recall@top3: 0.8137 prec@top3: 0.7059 recall@top5: 0.9608 prec@top5: 0.5059 loss_action_cls: 0.0343 2023/03/11 01:36:30 - mmengine - INFO - Epoch(train) [11][ 700/4451] lr: 2.1846e-06 eta: 8:13:00 time: 0.6213 data_time: 0.0711 memory: 51970 grad_norm: 0.1359 loss: 0.0352 recall@thr=0.5: 0.7706 prec@thr=0.5: 0.8235 recall@top3: 0.8353 prec@top3: 0.7451 recall@top5: 0.8882 prec@top5: 0.4824 loss_action_cls: 0.0352 2023/03/11 01:36:45 - mmengine - INFO - Epoch(train) [11][ 720/4451] lr: 2.1833e-06 eta: 8:12:48 time: 0.7540 data_time: 0.1119 memory: 51970 grad_norm: 0.1305 loss: 0.0335 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8056 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0335 2023/03/11 01:36:57 - mmengine - INFO - Epoch(train) [11][ 740/4451] lr: 2.1821e-06 eta: 8:12:33 time: 0.6054 data_time: 0.1226 memory: 51970 grad_norm: 0.1333 loss: 0.0339 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.7500 recall@top3: 0.8205 prec@top3: 0.6923 recall@top5: 0.9231 prec@top5: 0.4769 loss_action_cls: 0.0339 2023/03/11 01:37:10 - mmengine - INFO - Epoch(train) [11][ 760/4451] lr: 2.1809e-06 eta: 8:12:19 time: 0.6615 data_time: 0.1782 memory: 51970 grad_norm: 0.1302 loss: 0.0366 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6267 recall@top3: 0.8467 prec@top3: 0.6933 recall@top5: 0.9333 prec@top5: 0.4560 loss_action_cls: 0.0366 2023/03/11 01:37:24 - mmengine - INFO - Epoch(train) [11][ 780/4451] lr: 2.1796e-06 eta: 8:12:06 time: 0.6733 data_time: 0.0292 memory: 51970 grad_norm: 0.1257 loss: 0.0279 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.9167 recall@top3: 0.9314 prec@top3: 0.7255 recall@top5: 0.9314 prec@top5: 0.4353 loss_action_cls: 0.0279 2023/03/11 01:37:37 - mmengine - INFO - Epoch(train) [11][ 800/4451] lr: 2.1784e-06 eta: 8:11:52 time: 0.6604 data_time: 0.0910 memory: 51970 grad_norm: 0.1329 loss: 0.0331 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7333 recall@top3: 0.7833 prec@top3: 0.6333 recall@top5: 0.8583 prec@top5: 0.4100 loss_action_cls: 0.0331 2023/03/11 01:37:50 - mmengine - INFO - Epoch(train) [11][ 820/4451] lr: 2.1771e-06 eta: 8:11:38 time: 0.6720 data_time: 0.0382 memory: 51970 grad_norm: 0.1313 loss: 0.0330 recall@thr=0.5: 0.7939 prec@thr=0.5: 0.8333 recall@top3: 0.9079 prec@top3: 0.7544 recall@top5: 0.9474 prec@top5: 0.4842 loss_action_cls: 0.0330 2023/03/11 01:38:03 - mmengine - INFO - Epoch(train) [11][ 840/4451] lr: 2.1759e-06 eta: 8:11:24 time: 0.6140 data_time: 0.0163 memory: 51970 grad_norm: 0.1361 loss: 0.0350 recall@thr=0.5: 0.8174 prec@thr=0.5: 0.8318 recall@top3: 0.7523 prec@top3: 0.8030 recall@top5: 0.9106 prec@top5: 0.6091 loss_action_cls: 0.0350 2023/03/11 01:38:16 - mmengine - INFO - Epoch(train) [11][ 860/4451] lr: 2.1747e-06 eta: 8:11:10 time: 0.6546 data_time: 0.0117 memory: 51970 grad_norm: 0.1433 loss: 0.0359 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7167 recall@top3: 0.8542 prec@top3: 0.5167 recall@top5: 0.9167 prec@top5: 0.3300 loss_action_cls: 0.0359 2023/03/11 01:38:29 - mmengine - INFO - Epoch(train) [11][ 880/4451] lr: 2.1734e-06 eta: 8:10:56 time: 0.6490 data_time: 0.0141 memory: 51970 grad_norm: 0.1340 loss: 0.0385 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8646 recall@top3: 0.8255 prec@top3: 0.5104 recall@top5: 0.9062 prec@top5: 0.3500 loss_action_cls: 0.0385 2023/03/11 01:38:42 - mmengine - INFO - Epoch(train) [11][ 900/4451] lr: 2.1722e-06 eta: 8:10:42 time: 0.6699 data_time: 0.0124 memory: 51970 grad_norm: 0.1360 loss: 0.0358 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8889 recall@top3: 0.8611 prec@top3: 0.8148 recall@top5: 0.9028 prec@top5: 0.5222 loss_action_cls: 0.0358 2023/03/11 01:38:55 - mmengine - INFO - Epoch(train) [11][ 920/4451] lr: 2.1710e-06 eta: 8:10:28 time: 0.6419 data_time: 0.0136 memory: 51970 grad_norm: 0.1275 loss: 0.0336 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7500 recall@top3: 0.6875 prec@top3: 0.5208 recall@top5: 0.7500 prec@top5: 0.3625 loss_action_cls: 0.0336 2023/03/11 01:39:09 - mmengine - INFO - Epoch(train) [11][ 940/4451] lr: 2.1697e-06 eta: 8:10:15 time: 0.7096 data_time: 0.0119 memory: 51970 grad_norm: 0.1348 loss: 0.0366 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7302 recall@top3: 0.8492 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0366 2023/03/11 01:39:22 - mmengine - INFO - Epoch(train) [11][ 960/4451] lr: 2.1685e-06 eta: 8:10:01 time: 0.6311 data_time: 0.0130 memory: 51970 grad_norm: 0.1304 loss: 0.0332 recall@thr=0.5: 0.9118 prec@thr=0.5: 0.8922 recall@top3: 0.9706 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4000 loss_action_cls: 0.0332 2023/03/11 01:39:35 - mmengine - INFO - Epoch(train) [11][ 980/4451] lr: 2.1672e-06 eta: 8:09:47 time: 0.6530 data_time: 0.0115 memory: 51970 grad_norm: 0.1323 loss: 0.0315 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8824 recall@top3: 0.8725 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.5059 loss_action_cls: 0.0315 2023/03/11 01:39:46 - mmengine - INFO - Epoch(train) [11][1000/4451] lr: 2.1660e-06 eta: 8:09:31 time: 0.5428 data_time: 0.0138 memory: 51970 grad_norm: 0.1351 loss: 0.0373 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8182 prec@top3: 0.6515 recall@top5: 0.9242 prec@top5: 0.4455 loss_action_cls: 0.0373 2023/03/11 01:39:59 - mmengine - INFO - Epoch(train) [11][1020/4451] lr: 2.1648e-06 eta: 8:09:17 time: 0.6615 data_time: 0.0122 memory: 51970 grad_norm: 0.1342 loss: 0.0337 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7576 recall@top3: 0.8561 prec@top3: 0.5758 recall@top5: 0.9394 prec@top5: 0.3727 loss_action_cls: 0.0337 2023/03/11 01:40:11 - mmengine - INFO - Epoch(train) [11][1040/4451] lr: 2.1635e-06 eta: 8:09:02 time: 0.6115 data_time: 0.0135 memory: 51970 grad_norm: 0.1367 loss: 0.0356 recall@thr=0.5: 0.6887 prec@thr=0.5: 0.8713 recall@top3: 0.7387 prec@top3: 0.7467 recall@top5: 0.9060 prec@top5: 0.5760 loss_action_cls: 0.0356 2023/03/11 01:40:26 - mmengine - INFO - Epoch(train) [11][1060/4451] lr: 2.1623e-06 eta: 8:08:50 time: 0.7256 data_time: 0.0118 memory: 51970 grad_norm: 0.1310 loss: 0.0352 recall@thr=0.5: 0.4844 prec@thr=0.5: 0.7500 recall@top3: 0.8385 prec@top3: 0.6875 recall@top5: 0.9219 prec@top5: 0.4625 loss_action_cls: 0.0352 2023/03/11 01:40:38 - mmengine - INFO - Epoch(train) [11][1080/4451] lr: 2.1610e-06 eta: 8:08:35 time: 0.5921 data_time: 0.0135 memory: 51970 grad_norm: 0.1310 loss: 0.0414 recall@thr=0.5: 0.5309 prec@thr=0.5: 0.6759 recall@top3: 0.6667 prec@top3: 0.6420 recall@top5: 0.8210 prec@top5: 0.4667 loss_action_cls: 0.0414 2023/03/11 01:40:51 - mmengine - INFO - Epoch(train) [11][1100/4451] lr: 2.1598e-06 eta: 8:08:22 time: 0.6942 data_time: 0.0119 memory: 51970 grad_norm: 0.1305 loss: 0.0331 recall@thr=0.5: 0.6857 prec@thr=0.5: 0.8175 recall@top3: 0.6675 prec@top3: 0.7460 recall@top5: 0.7762 prec@top5: 0.5429 loss_action_cls: 0.0331 2023/03/11 01:41:04 - mmengine - INFO - Epoch(train) [11][1120/4451] lr: 2.1585e-06 eta: 8:08:08 time: 0.6471 data_time: 0.0157 memory: 51970 grad_norm: 0.1339 loss: 0.0358 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7857 recall@top3: 0.8661 prec@top3: 0.6071 recall@top5: 0.9018 prec@top5: 0.3929 loss_action_cls: 0.0358 2023/03/11 01:41:17 - mmengine - INFO - Epoch(train) [11][1140/4451] lr: 2.1573e-06 eta: 8:07:54 time: 0.6438 data_time: 0.0163 memory: 51970 grad_norm: 0.1316 loss: 0.0343 recall@thr=0.5: 0.9100 prec@thr=0.5: 0.8933 recall@top3: 0.9400 prec@top3: 0.7867 recall@top5: 1.0000 prec@top5: 0.5120 loss_action_cls: 0.0343 2023/03/11 01:41:29 - mmengine - INFO - Epoch(train) [11][1160/4451] lr: 2.1560e-06 eta: 8:07:38 time: 0.5738 data_time: 0.0136 memory: 51970 grad_norm: 0.1297 loss: 0.0288 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.5694 recall@top3: 0.7870 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.5111 loss_action_cls: 0.0288 2023/03/11 01:41:43 - mmengine - INFO - Epoch(train) [11][1180/4451] lr: 2.1548e-06 eta: 8:07:25 time: 0.7188 data_time: 0.0114 memory: 51970 grad_norm: 0.1395 loss: 0.0322 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6667 recall@top3: 0.6667 prec@top3: 0.5000 recall@top5: 0.8561 prec@top5: 0.3818 loss_action_cls: 0.0322 2023/03/11 01:41:54 - mmengine - INFO - Epoch(train) [11][1200/4451] lr: 2.1536e-06 eta: 8:07:10 time: 0.5569 data_time: 0.0139 memory: 51970 grad_norm: 0.1333 loss: 0.0346 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7500 recall@top3: 0.8080 prec@top3: 0.6957 recall@top5: 0.9167 prec@top5: 0.4957 loss_action_cls: 0.0346 2023/03/11 01:42:06 - mmengine - INFO - Epoch(train) [11][1220/4451] lr: 2.1523e-06 eta: 8:06:54 time: 0.5628 data_time: 0.0128 memory: 51970 grad_norm: 0.1386 loss: 0.0344 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.8487 recall@top3: 0.8500 prec@top3: 0.8267 recall@top5: 0.9200 prec@top5: 0.5440 loss_action_cls: 0.0344 2023/03/11 01:42:18 - mmengine - INFO - Epoch(train) [11][1240/4451] lr: 2.1511e-06 eta: 8:06:40 time: 0.6213 data_time: 0.0291 memory: 51970 grad_norm: 0.1417 loss: 0.0307 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7632 recall@top3: 0.9474 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0307 2023/03/11 01:42:30 - mmengine - INFO - Epoch(train) [11][1260/4451] lr: 2.1498e-06 eta: 8:06:25 time: 0.6008 data_time: 0.0686 memory: 51970 grad_norm: 0.1337 loss: 0.0368 recall@thr=0.5: 0.7060 prec@thr=0.5: 0.6624 recall@top3: 0.8321 prec@top3: 0.6239 recall@top5: 0.9321 prec@top5: 0.4359 loss_action_cls: 0.0368 2023/03/11 01:42:44 - mmengine - INFO - Epoch(train) [11][1280/4451] lr: 2.1486e-06 eta: 8:06:11 time: 0.6759 data_time: 0.0911 memory: 51970 grad_norm: 0.1299 loss: 0.0334 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7895 recall@top3: 0.7895 prec@top3: 0.6667 recall@top5: 0.8860 prec@top5: 0.4421 loss_action_cls: 0.0334 2023/03/11 01:42:56 - mmengine - INFO - Epoch(train) [11][1300/4451] lr: 2.1473e-06 eta: 8:05:57 time: 0.6270 data_time: 0.1579 memory: 51970 grad_norm: 0.1331 loss: 0.0340 recall@thr=0.5: 0.6198 prec@thr=0.5: 0.5781 recall@top3: 0.7500 prec@top3: 0.5104 recall@top5: 0.8490 prec@top5: 0.3437 loss_action_cls: 0.0340 2023/03/11 01:43:08 - mmengine - INFO - Epoch(train) [11][1320/4451] lr: 2.1461e-06 eta: 8:05:42 time: 0.6192 data_time: 0.0583 memory: 51970 grad_norm: 0.1305 loss: 0.0357 recall@thr=0.5: 0.5802 prec@thr=0.5: 0.6852 recall@top3: 0.6605 prec@top3: 0.4568 recall@top5: 0.7222 prec@top5: 0.3185 loss_action_cls: 0.0357 2023/03/11 01:43:22 - mmengine - INFO - Epoch(train) [11][1340/4451] lr: 2.1448e-06 eta: 8:05:29 time: 0.6900 data_time: 0.0486 memory: 51970 grad_norm: 0.1358 loss: 0.0374 recall@thr=0.5: 0.6375 prec@thr=0.5: 0.6792 recall@top3: 0.8708 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0374 2023/03/11 01:43:36 - mmengine - INFO - Epoch(train) [11][1360/4451] lr: 2.1436e-06 eta: 8:05:15 time: 0.6677 data_time: 0.0657 memory: 51970 grad_norm: 0.1378 loss: 0.0341 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.6964 recall@top3: 0.8690 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4143 loss_action_cls: 0.0341 2023/03/11 01:43:48 - mmengine - INFO - Epoch(train) [11][1380/4451] lr: 2.1423e-06 eta: 8:05:01 time: 0.6238 data_time: 0.0131 memory: 51970 grad_norm: 0.1311 loss: 0.0379 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8556 recall@top3: 0.8889 prec@top3: 0.6889 recall@top5: 0.9111 prec@top5: 0.4267 loss_action_cls: 0.0379 2023/03/11 01:44:00 - mmengine - INFO - Epoch(train) [11][1400/4451] lr: 2.1410e-06 eta: 8:04:46 time: 0.5927 data_time: 0.0272 memory: 51970 grad_norm: 0.1299 loss: 0.0305 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.9314 recall@top3: 0.9216 prec@top3: 0.7451 recall@top5: 0.9608 prec@top5: 0.4706 loss_action_cls: 0.0305 2023/03/11 01:44:12 - mmengine - INFO - Epoch(train) [11][1420/4451] lr: 2.1398e-06 eta: 8:04:31 time: 0.5926 data_time: 0.0779 memory: 51970 grad_norm: 0.1341 loss: 0.0349 recall@thr=0.5: 0.8062 prec@thr=0.5: 0.8229 recall@top3: 0.8792 prec@top3: 0.7292 recall@top5: 0.9542 prec@top5: 0.4875 loss_action_cls: 0.0349 2023/03/11 01:44:25 - mmengine - INFO - Epoch(train) [11][1440/4451] lr: 2.1385e-06 eta: 8:04:17 time: 0.6628 data_time: 0.0459 memory: 51970 grad_norm: 0.1309 loss: 0.0355 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.7652 recall@top3: 0.8636 prec@top3: 0.7273 recall@top5: 0.9545 prec@top5: 0.4909 loss_action_cls: 0.0355 2023/03/11 01:44:39 - mmengine - INFO - Epoch(train) [11][1460/4451] lr: 2.1373e-06 eta: 8:04:04 time: 0.6734 data_time: 0.0134 memory: 51970 grad_norm: 0.1359 loss: 0.0341 recall@thr=0.5: 0.8175 prec@thr=0.5: 0.9286 recall@top3: 0.9683 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0341 2023/03/11 01:44:51 - mmengine - INFO - Epoch(train) [11][1480/4451] lr: 2.1360e-06 eta: 8:03:49 time: 0.6272 data_time: 0.0127 memory: 51970 grad_norm: 0.1327 loss: 0.0346 recall@thr=0.5: 0.6065 prec@thr=0.5: 0.6667 recall@top3: 0.6204 prec@top3: 0.5741 recall@top5: 0.8611 prec@top5: 0.4778 loss_action_cls: 0.0346 2023/03/11 01:44:57 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 01:45:03 - mmengine - INFO - Epoch(train) [11][1500/4451] lr: 2.1348e-06 eta: 8:03:35 time: 0.6153 data_time: 0.0131 memory: 51970 grad_norm: 0.1352 loss: 0.0348 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7778 recall@top3: 0.7937 prec@top3: 0.6667 recall@top5: 0.9365 prec@top5: 0.4857 loss_action_cls: 0.0348 2023/03/11 01:45:16 - mmengine - INFO - Epoch(train) [11][1520/4451] lr: 2.1335e-06 eta: 8:03:20 time: 0.6289 data_time: 0.0124 memory: 51970 grad_norm: 0.1356 loss: 0.0354 recall@thr=0.5: 0.7933 prec@thr=0.5: 0.9000 recall@top3: 0.9733 prec@top3: 0.6800 recall@top5: 0.9733 prec@top5: 0.4080 loss_action_cls: 0.0354 2023/03/11 01:45:27 - mmengine - INFO - Epoch(train) [11][1540/4451] lr: 2.1323e-06 eta: 8:03:05 time: 0.5653 data_time: 0.0133 memory: 51970 grad_norm: 0.1406 loss: 0.0338 recall@thr=0.5: 0.6950 prec@thr=0.5: 0.8433 recall@top3: 0.8800 prec@top3: 0.6167 recall@top5: 0.9150 prec@top5: 0.4000 loss_action_cls: 0.0338 2023/03/11 01:45:40 - mmengine - INFO - Epoch(train) [11][1560/4451] lr: 2.1310e-06 eta: 8:02:51 time: 0.6343 data_time: 0.0123 memory: 51970 grad_norm: 0.1310 loss: 0.0342 recall@thr=0.5: 0.6633 prec@thr=0.5: 0.7600 recall@top3: 0.7807 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4640 loss_action_cls: 0.0342 2023/03/11 01:45:51 - mmengine - INFO - Epoch(train) [11][1580/4451] lr: 2.1297e-06 eta: 8:02:35 time: 0.5725 data_time: 0.0132 memory: 51970 grad_norm: 0.1374 loss: 0.0345 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.7500 recall@top3: 0.8485 prec@top3: 0.6212 recall@top5: 0.9242 prec@top5: 0.4273 loss_action_cls: 0.0345 2023/03/11 01:46:07 - mmengine - INFO - Epoch(train) [11][1600/4451] lr: 2.1285e-06 eta: 8:02:24 time: 0.8011 data_time: 0.0126 memory: 51970 grad_norm: 0.1370 loss: 0.0335 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8519 recall@top3: 0.9259 prec@top3: 0.8519 recall@top5: 0.9630 prec@top5: 0.5333 loss_action_cls: 0.0335 2023/03/11 01:46:20 - mmengine - INFO - Epoch(train) [11][1620/4451] lr: 2.1272e-06 eta: 8:02:09 time: 0.6075 data_time: 0.0126 memory: 51970 grad_norm: 0.1367 loss: 0.0351 recall@thr=0.5: 0.6607 prec@thr=0.5: 0.8571 recall@top3: 0.7500 prec@top3: 0.5952 recall@top5: 0.8036 prec@top5: 0.4000 loss_action_cls: 0.0351 2023/03/11 01:46:32 - mmengine - INFO - Epoch(train) [11][1640/4451] lr: 2.1260e-06 eta: 8:01:55 time: 0.6349 data_time: 0.0174 memory: 51970 grad_norm: 0.1347 loss: 0.0343 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.7745 recall@top3: 0.8971 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4471 loss_action_cls: 0.0343 2023/03/11 01:46:45 - mmengine - INFO - Epoch(train) [11][1660/4451] lr: 2.1247e-06 eta: 8:01:40 time: 0.6084 data_time: 0.0125 memory: 51970 grad_norm: 0.1332 loss: 0.0308 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9500 recall@top3: 0.9750 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0308 2023/03/11 01:46:58 - mmengine - INFO - Epoch(train) [11][1680/4451] lr: 2.1234e-06 eta: 8:01:27 time: 0.6643 data_time: 0.0120 memory: 51970 grad_norm: 0.1369 loss: 0.0332 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6429 recall@top3: 0.7579 prec@top3: 0.6349 recall@top5: 0.8929 prec@top5: 0.4571 loss_action_cls: 0.0332 2023/03/11 01:47:10 - mmengine - INFO - Epoch(train) [11][1700/4451] lr: 2.1222e-06 eta: 8:01:12 time: 0.6164 data_time: 0.0135 memory: 51970 grad_norm: 0.1262 loss: 0.0330 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.6875 recall@top3: 0.8750 prec@top3: 0.5208 recall@top5: 0.9375 prec@top5: 0.3250 loss_action_cls: 0.0330 2023/03/11 01:47:24 - mmengine - INFO - Epoch(train) [11][1720/4451] lr: 2.1209e-06 eta: 8:00:59 time: 0.6828 data_time: 0.0144 memory: 51970 grad_norm: 0.1414 loss: 0.0367 recall@thr=0.5: 0.7402 prec@thr=0.5: 0.8039 recall@top3: 0.8799 prec@top3: 0.7353 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0367 2023/03/11 01:47:35 - mmengine - INFO - Epoch(train) [11][1740/4451] lr: 2.1197e-06 eta: 8:00:43 time: 0.5483 data_time: 0.0138 memory: 51970 grad_norm: 0.1266 loss: 0.0302 recall@thr=0.5: 0.8295 prec@thr=0.5: 0.8409 recall@top3: 0.9129 prec@top3: 0.6515 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0302 2023/03/11 01:47:47 - mmengine - INFO - Epoch(train) [11][1760/4451] lr: 2.1184e-06 eta: 8:00:28 time: 0.6196 data_time: 0.1737 memory: 51970 grad_norm: 0.1337 loss: 0.0330 recall@thr=0.5: 0.6019 prec@thr=0.5: 0.7593 recall@top3: 0.8241 prec@top3: 0.5926 recall@top5: 0.8704 prec@top5: 0.3778 loss_action_cls: 0.0330 2023/03/11 01:48:00 - mmengine - INFO - Epoch(train) [11][1780/4451] lr: 2.1171e-06 eta: 8:00:14 time: 0.6188 data_time: 0.1374 memory: 51970 grad_norm: 0.1377 loss: 0.0334 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8667 recall@top3: 0.8917 prec@top3: 0.6333 recall@top5: 0.9333 prec@top5: 0.4100 loss_action_cls: 0.0334 2023/03/11 01:48:11 - mmengine - INFO - Epoch(train) [11][1800/4451] lr: 2.1159e-06 eta: 7:59:59 time: 0.5971 data_time: 0.1632 memory: 51970 grad_norm: 0.1324 loss: 0.0329 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8627 recall@top3: 0.8529 prec@top3: 0.7059 recall@top5: 0.8824 prec@top5: 0.4471 loss_action_cls: 0.0329 2023/03/11 01:48:26 - mmengine - INFO - Epoch(train) [11][1820/4451] lr: 2.1146e-06 eta: 7:59:46 time: 0.7029 data_time: 0.2628 memory: 51970 grad_norm: 0.1385 loss: 0.0355 recall@thr=0.5: 0.6552 prec@thr=0.5: 0.6437 recall@top3: 0.7931 prec@top3: 0.5977 recall@top5: 0.8908 prec@top5: 0.4000 loss_action_cls: 0.0355 2023/03/11 01:48:38 - mmengine - INFO - Epoch(train) [11][1840/4451] lr: 2.1133e-06 eta: 7:59:31 time: 0.6149 data_time: 0.0398 memory: 51970 grad_norm: 0.1340 loss: 0.0313 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7222 recall@top3: 0.8519 prec@top3: 0.7222 recall@top5: 0.9167 prec@top5: 0.4778 loss_action_cls: 0.0313 2023/03/11 01:48:50 - mmengine - INFO - Epoch(train) [11][1860/4451] lr: 2.1121e-06 eta: 7:59:17 time: 0.6242 data_time: 0.0204 memory: 51970 grad_norm: 0.1396 loss: 0.0366 recall@thr=0.5: 0.7208 prec@thr=0.5: 0.7583 recall@top3: 0.8125 prec@top3: 0.6167 recall@top5: 0.9625 prec@top5: 0.4700 loss_action_cls: 0.0366 2023/03/11 01:49:06 - mmengine - INFO - Epoch(train) [11][1880/4451] lr: 2.1108e-06 eta: 7:59:06 time: 0.7835 data_time: 0.0381 memory: 51970 grad_norm: 0.1341 loss: 0.0324 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.7971 recall@top3: 0.8696 prec@top3: 0.5942 recall@top5: 0.9565 prec@top5: 0.4087 loss_action_cls: 0.0324 2023/03/11 01:49:18 - mmengine - INFO - Epoch(train) [11][1900/4451] lr: 2.1095e-06 eta: 7:58:51 time: 0.5885 data_time: 0.0123 memory: 51970 grad_norm: 0.1311 loss: 0.0362 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7460 recall@top3: 0.8651 prec@top3: 0.6349 recall@top5: 0.9881 prec@top5: 0.4667 loss_action_cls: 0.0362 2023/03/11 01:49:31 - mmengine - INFO - Epoch(train) [11][1920/4451] lr: 2.1083e-06 eta: 7:58:37 time: 0.6453 data_time: 0.0269 memory: 51970 grad_norm: 0.1356 loss: 0.0335 recall@thr=0.5: 0.5028 prec@thr=0.5: 0.6354 recall@top3: 0.6653 prec@top3: 0.6250 recall@top5: 0.8069 prec@top5: 0.4667 loss_action_cls: 0.0335 2023/03/11 01:49:45 - mmengine - INFO - Epoch(train) [11][1940/4451] lr: 2.1070e-06 eta: 7:58:24 time: 0.7240 data_time: 0.2873 memory: 51970 grad_norm: 0.1323 loss: 0.0355 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6429 recall@top3: 0.7183 prec@top3: 0.5714 recall@top5: 0.9048 prec@top5: 0.4190 loss_action_cls: 0.0355 2023/03/11 01:49:57 - mmengine - INFO - Epoch(train) [11][1960/4451] lr: 2.1057e-06 eta: 7:58:09 time: 0.5883 data_time: 0.1565 memory: 51970 grad_norm: 0.1241 loss: 0.0326 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8684 recall@top3: 0.9079 prec@top3: 0.7018 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0326 2023/03/11 01:50:10 - mmengine - INFO - Epoch(train) [11][1980/4451] lr: 2.1045e-06 eta: 7:57:55 time: 0.6558 data_time: 0.2275 memory: 51970 grad_norm: 0.1321 loss: 0.0326 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9062 recall@top3: 0.9583 prec@top3: 0.6042 recall@top5: 0.9792 prec@top5: 0.3750 loss_action_cls: 0.0326 2023/03/11 01:50:21 - mmengine - INFO - Epoch(train) [11][2000/4451] lr: 2.1032e-06 eta: 7:57:39 time: 0.5402 data_time: 0.0988 memory: 51970 grad_norm: 0.1321 loss: 0.0372 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.5486 recall@top3: 0.6806 prec@top3: 0.4444 recall@top5: 0.8854 prec@top5: 0.3667 loss_action_cls: 0.0372 2023/03/11 01:50:34 - mmengine - INFO - Epoch(train) [11][2020/4451] lr: 2.1019e-06 eta: 7:57:25 time: 0.6568 data_time: 0.2000 memory: 51970 grad_norm: 0.1342 loss: 0.0314 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.8333 recall@top3: 0.7160 prec@top3: 0.5926 recall@top5: 0.9012 prec@top5: 0.4815 loss_action_cls: 0.0314 2023/03/11 01:50:45 - mmengine - INFO - Epoch(train) [11][2040/4451] lr: 2.1006e-06 eta: 7:57:10 time: 0.5669 data_time: 0.1212 memory: 51970 grad_norm: 0.1323 loss: 0.0336 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.7500 recall@top3: 0.7750 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4400 loss_action_cls: 0.0336 2023/03/11 01:51:00 - mmengine - INFO - Epoch(train) [11][2060/4451] lr: 2.0994e-06 eta: 7:56:58 time: 0.7532 data_time: 0.2852 memory: 51970 grad_norm: 0.1340 loss: 0.0341 recall@thr=0.5: 0.4444 prec@thr=0.5: 0.4537 recall@top3: 0.8981 prec@top3: 0.5000 recall@top5: 0.9167 prec@top5: 0.3111 loss_action_cls: 0.0341 2023/03/11 01:51:12 - mmengine - INFO - Epoch(train) [11][2080/4451] lr: 2.0981e-06 eta: 7:56:43 time: 0.5829 data_time: 0.1446 memory: 51970 grad_norm: 0.1416 loss: 0.0331 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7308 recall@top3: 0.7885 prec@top3: 0.5385 recall@top5: 0.8462 prec@top5: 0.3692 loss_action_cls: 0.0331 2023/03/11 01:51:26 - mmengine - INFO - Epoch(train) [11][2100/4451] lr: 2.0968e-06 eta: 7:56:29 time: 0.6811 data_time: 0.2367 memory: 51970 grad_norm: 0.1308 loss: 0.0335 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.5949 recall@top3: 0.8077 prec@top3: 0.5513 recall@top5: 0.9808 prec@top5: 0.4154 loss_action_cls: 0.0335 2023/03/11 01:51:37 - mmengine - INFO - Epoch(train) [11][2120/4451] lr: 2.0956e-06 eta: 7:56:14 time: 0.5548 data_time: 0.1290 memory: 51970 grad_norm: 0.1395 loss: 0.0355 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.6123 recall@top3: 0.6826 prec@top3: 0.6957 recall@top5: 0.9391 prec@top5: 0.5652 loss_action_cls: 0.0355 2023/03/11 01:51:51 - mmengine - INFO - Epoch(train) [11][2140/4451] lr: 2.0943e-06 eta: 7:56:01 time: 0.7063 data_time: 0.1547 memory: 51970 grad_norm: 0.1330 loss: 0.0349 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.6667 recall@top3: 0.7857 prec@top3: 0.5952 recall@top5: 0.9167 prec@top5: 0.4357 loss_action_cls: 0.0349 2023/03/11 01:52:03 - mmengine - INFO - Epoch(train) [11][2160/4451] lr: 2.0930e-06 eta: 7:55:46 time: 0.6050 data_time: 0.1629 memory: 51970 grad_norm: 0.1297 loss: 0.0353 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.7853 recall@top3: 0.7910 prec@top3: 0.5641 recall@top5: 0.9923 prec@top5: 0.4308 loss_action_cls: 0.0353 2023/03/11 01:52:18 - mmengine - INFO - Epoch(train) [11][2180/4451] lr: 2.0917e-06 eta: 7:55:34 time: 0.7293 data_time: 0.2992 memory: 51970 grad_norm: 0.1350 loss: 0.0356 recall@thr=0.5: 0.9028 prec@thr=0.5: 0.8792 recall@top3: 0.9167 prec@top3: 0.7917 recall@top5: 0.9792 prec@top5: 0.5250 loss_action_cls: 0.0356 2023/03/11 01:52:29 - mmengine - INFO - Epoch(train) [11][2200/4451] lr: 2.0905e-06 eta: 7:55:19 time: 0.5927 data_time: 0.1665 memory: 51970 grad_norm: 0.1333 loss: 0.0295 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.6733 recall@top3: 0.7800 prec@top3: 0.4933 recall@top5: 0.8533 prec@top5: 0.3360 loss_action_cls: 0.0295 2023/03/11 01:52:41 - mmengine - INFO - Epoch(train) [11][2220/4451] lr: 2.0892e-06 eta: 7:55:04 time: 0.5984 data_time: 0.1343 memory: 51970 grad_norm: 0.1346 loss: 0.0371 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.6431 recall@top3: 0.7255 prec@top3: 0.6275 recall@top5: 0.8235 prec@top5: 0.4471 loss_action_cls: 0.0371 2023/03/11 01:52:54 - mmengine - INFO - Epoch(train) [11][2240/4451] lr: 2.0879e-06 eta: 7:54:50 time: 0.6377 data_time: 0.0329 memory: 51970 grad_norm: 0.1253 loss: 0.0323 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.8116 recall@top3: 0.8696 prec@top3: 0.5362 recall@top5: 0.9348 prec@top5: 0.3478 loss_action_cls: 0.0323 2023/03/11 01:53:08 - mmengine - INFO - Epoch(train) [11][2260/4451] lr: 2.0866e-06 eta: 7:54:36 time: 0.6909 data_time: 0.0133 memory: 51970 grad_norm: 0.1338 loss: 0.0337 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7889 recall@top3: 0.9222 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.3867 loss_action_cls: 0.0337 2023/03/11 01:53:20 - mmengine - INFO - Epoch(train) [11][2280/4451] lr: 2.0853e-06 eta: 7:54:22 time: 0.5967 data_time: 0.0122 memory: 51970 grad_norm: 0.1283 loss: 0.0324 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8137 recall@top3: 0.9412 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0324 2023/03/11 01:53:33 - mmengine - INFO - Epoch(train) [11][2300/4451] lr: 2.0841e-06 eta: 7:54:08 time: 0.6700 data_time: 0.0129 memory: 51970 grad_norm: 0.1241 loss: 0.0334 recall@thr=0.5: 0.5947 prec@thr=0.5: 0.8182 recall@top3: 0.7235 prec@top3: 0.6515 recall@top5: 0.9318 prec@top5: 0.4909 loss_action_cls: 0.0334 2023/03/11 01:53:46 - mmengine - INFO - Epoch(train) [11][2320/4451] lr: 2.0828e-06 eta: 7:53:54 time: 0.6409 data_time: 0.0131 memory: 51970 grad_norm: 0.1355 loss: 0.0312 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.6389 recall@top3: 0.7198 prec@top3: 0.6508 recall@top5: 0.8968 prec@top5: 0.5048 loss_action_cls: 0.0312 2023/03/11 01:53:58 - mmengine - INFO - Epoch(train) [11][2340/4451] lr: 2.0815e-06 eta: 7:53:39 time: 0.6052 data_time: 0.0127 memory: 51970 grad_norm: 0.1303 loss: 0.0356 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8125 recall@top3: 0.8281 prec@top3: 0.7917 recall@top5: 0.9531 prec@top5: 0.5500 loss_action_cls: 0.0356 2023/03/11 01:54:09 - mmengine - INFO - Epoch(train) [11][2360/4451] lr: 2.0802e-06 eta: 7:53:23 time: 0.5336 data_time: 0.0137 memory: 51970 grad_norm: 0.1337 loss: 0.0343 recall@thr=0.5: 0.9100 prec@thr=0.5: 0.8467 recall@top3: 0.8200 prec@top3: 0.5833 recall@top5: 0.9500 prec@top5: 0.4700 loss_action_cls: 0.0343 2023/03/11 01:54:23 - mmengine - INFO - Epoch(train) [11][2380/4451] lr: 2.0790e-06 eta: 7:53:10 time: 0.6902 data_time: 0.0121 memory: 51970 grad_norm: 0.1314 loss: 0.0305 recall@thr=0.5: 0.6154 prec@thr=0.5: 0.8462 recall@top3: 0.8205 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0305 2023/03/11 01:54:35 - mmengine - INFO - Epoch(train) [11][2400/4451] lr: 2.0777e-06 eta: 7:52:56 time: 0.6267 data_time: 0.0131 memory: 51970 grad_norm: 0.1305 loss: 0.0341 recall@thr=0.5: 0.4855 prec@thr=0.5: 0.6449 recall@top3: 0.8913 prec@top3: 0.5797 recall@top5: 0.9783 prec@top5: 0.4087 loss_action_cls: 0.0341 2023/03/11 01:54:49 - mmengine - INFO - Epoch(train) [11][2420/4451] lr: 2.0764e-06 eta: 7:52:43 time: 0.7047 data_time: 0.0122 memory: 51970 grad_norm: 0.1347 loss: 0.0333 recall@thr=0.5: 0.7433 prec@thr=0.5: 0.8600 recall@top3: 0.8300 prec@top3: 0.6933 recall@top5: 0.9133 prec@top5: 0.4560 loss_action_cls: 0.0333 2023/03/11 01:55:01 - mmengine - INFO - Epoch(train) [11][2440/4451] lr: 2.0751e-06 eta: 7:52:28 time: 0.5991 data_time: 0.0130 memory: 51970 grad_norm: 0.1302 loss: 0.0339 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.9048 recall@top3: 0.8929 prec@top3: 0.6825 recall@top5: 0.9405 prec@top5: 0.4381 loss_action_cls: 0.0339 2023/03/11 01:55:14 - mmengine - INFO - Epoch(train) [11][2460/4451] lr: 2.0738e-06 eta: 7:52:14 time: 0.6392 data_time: 0.0132 memory: 51970 grad_norm: 0.1398 loss: 0.0330 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8222 recall@top3: 0.8222 prec@top3: 0.6889 recall@top5: 0.9333 prec@top5: 0.4667 loss_action_cls: 0.0330 2023/03/11 01:55:27 - mmengine - INFO - Epoch(train) [11][2480/4451] lr: 2.0725e-06 eta: 7:51:59 time: 0.6200 data_time: 0.0128 memory: 51970 grad_norm: 0.1287 loss: 0.0315 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7250 recall@top3: 0.7708 prec@top3: 0.7000 recall@top5: 0.8750 prec@top5: 0.4800 loss_action_cls: 0.0315 2023/03/11 01:55:32 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 01:55:40 - mmengine - INFO - Epoch(train) [11][2500/4451] lr: 2.0713e-06 eta: 7:51:46 time: 0.6513 data_time: 0.0132 memory: 51970 grad_norm: 0.1368 loss: 0.0348 recall@thr=0.5: 0.5533 prec@thr=0.5: 0.6333 recall@top3: 0.7000 prec@top3: 0.4400 recall@top5: 0.7267 prec@top5: 0.2800 loss_action_cls: 0.0348 2023/03/11 01:55:51 - mmengine - INFO - Epoch(train) [11][2520/4451] lr: 2.0700e-06 eta: 7:51:30 time: 0.5835 data_time: 0.0122 memory: 51970 grad_norm: 0.1333 loss: 0.0357 recall@thr=0.5: 0.4685 prec@thr=0.5: 0.5821 recall@top3: 0.7333 prec@top3: 0.5952 recall@top5: 0.9321 prec@top5: 0.4429 loss_action_cls: 0.0357 2023/03/11 01:56:04 - mmengine - INFO - Epoch(train) [11][2540/4451] lr: 2.0687e-06 eta: 7:51:17 time: 0.6581 data_time: 0.0130 memory: 51970 grad_norm: 0.1304 loss: 0.0340 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.8770 recall@top3: 0.8968 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4286 loss_action_cls: 0.0340 2023/03/11 01:56:16 - mmengine - INFO - Epoch(train) [11][2560/4451] lr: 2.0674e-06 eta: 7:51:01 time: 0.5728 data_time: 0.0129 memory: 51970 grad_norm: 0.1360 loss: 0.0360 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8431 recall@top3: 0.8980 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0360 2023/03/11 01:56:29 - mmengine - INFO - Epoch(train) [11][2580/4451] lr: 2.0661e-06 eta: 7:50:47 time: 0.6440 data_time: 0.0127 memory: 51970 grad_norm: 0.1328 loss: 0.0321 recall@thr=0.5: 0.7216 prec@thr=0.5: 0.7039 recall@top3: 0.7696 prec@top3: 0.7255 recall@top5: 0.9667 prec@top5: 0.5529 loss_action_cls: 0.0321 2023/03/11 01:56:40 - mmengine - INFO - Epoch(train) [11][2600/4451] lr: 2.0648e-06 eta: 7:50:32 time: 0.5722 data_time: 0.0122 memory: 51970 grad_norm: 0.1258 loss: 0.0318 recall@thr=0.5: 0.7436 prec@thr=0.5: 0.8462 recall@top3: 0.8333 prec@top3: 0.5897 recall@top5: 0.9359 prec@top5: 0.4000 loss_action_cls: 0.0318 2023/03/11 01:56:53 - mmengine - INFO - Epoch(train) [11][2620/4451] lr: 2.0635e-06 eta: 7:50:18 time: 0.6533 data_time: 0.0132 memory: 51970 grad_norm: 0.1276 loss: 0.0335 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.5985 recall@top3: 0.9470 prec@top3: 0.6212 recall@top5: 0.9470 prec@top5: 0.3727 loss_action_cls: 0.0335 2023/03/11 01:57:05 - mmengine - INFO - Epoch(train) [11][2640/4451] lr: 2.0623e-06 eta: 7:50:03 time: 0.5704 data_time: 0.0127 memory: 51970 grad_norm: 0.1394 loss: 0.0311 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8377 recall@top3: 0.8772 prec@top3: 0.7544 recall@top5: 0.9298 prec@top5: 0.4842 loss_action_cls: 0.0311 2023/03/11 01:57:18 - mmengine - INFO - Epoch(train) [11][2660/4451] lr: 2.0610e-06 eta: 7:49:50 time: 0.6754 data_time: 0.0135 memory: 51970 grad_norm: 0.1358 loss: 0.0378 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.7197 recall@top3: 0.8561 prec@top3: 0.5303 recall@top5: 0.9318 prec@top5: 0.3636 loss_action_cls: 0.0378 2023/03/11 01:57:29 - mmengine - INFO - Epoch(train) [11][2680/4451] lr: 2.0597e-06 eta: 7:49:34 time: 0.5590 data_time: 0.0128 memory: 51970 grad_norm: 0.1361 loss: 0.0319 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.8514 recall@top3: 0.9130 prec@top3: 0.6957 recall@top5: 0.9565 prec@top5: 0.4261 loss_action_cls: 0.0319 2023/03/11 01:57:41 - mmengine - INFO - Epoch(train) [11][2700/4451] lr: 2.0584e-06 eta: 7:49:19 time: 0.5708 data_time: 0.0133 memory: 51970 grad_norm: 0.1338 loss: 0.0299 recall@thr=0.5: 0.7270 prec@thr=0.5: 0.8333 recall@top3: 0.8132 prec@top3: 0.6897 recall@top5: 0.9195 prec@top5: 0.4897 loss_action_cls: 0.0299 2023/03/11 01:57:53 - mmengine - INFO - Epoch(train) [11][2720/4451] lr: 2.0571e-06 eta: 7:49:04 time: 0.6138 data_time: 0.0127 memory: 51970 grad_norm: 0.1298 loss: 0.0330 recall@thr=0.5: 0.6408 prec@thr=0.5: 0.7471 recall@top3: 0.7902 prec@top3: 0.6897 recall@top5: 0.9253 prec@top5: 0.4759 loss_action_cls: 0.0330 2023/03/11 01:58:06 - mmengine - INFO - Epoch(train) [11][2740/4451] lr: 2.0558e-06 eta: 7:48:50 time: 0.6390 data_time: 0.0262 memory: 51970 grad_norm: 0.1427 loss: 0.0285 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5556 recall@top3: 0.9333 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0285 2023/03/11 01:58:18 - mmengine - INFO - Epoch(train) [11][2760/4451] lr: 2.0545e-06 eta: 7:48:35 time: 0.6007 data_time: 0.0124 memory: 51970 grad_norm: 0.1311 loss: 0.0353 recall@thr=0.5: 0.5661 prec@thr=0.5: 0.6437 recall@top3: 0.7213 prec@top3: 0.4943 recall@top5: 0.7989 prec@top5: 0.3448 loss_action_cls: 0.0353 2023/03/11 01:58:33 - mmengine - INFO - Epoch(train) [11][2780/4451] lr: 2.0532e-06 eta: 7:48:23 time: 0.7430 data_time: 0.0143 memory: 51970 grad_norm: 0.1368 loss: 0.0379 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7955 recall@top3: 0.8523 prec@top3: 0.6970 recall@top5: 0.9886 prec@top5: 0.4909 loss_action_cls: 0.0379 2023/03/11 01:58:45 - mmengine - INFO - Epoch(train) [11][2800/4451] lr: 2.0519e-06 eta: 7:48:09 time: 0.6056 data_time: 0.0445 memory: 51970 grad_norm: 0.1275 loss: 0.0354 recall@thr=0.5: 0.5686 prec@thr=0.5: 0.7353 recall@top3: 0.7647 prec@top3: 0.4706 recall@top5: 0.9020 prec@top5: 0.3647 loss_action_cls: 0.0354 2023/03/11 01:58:57 - mmengine - INFO - Epoch(train) [11][2820/4451] lr: 2.0507e-06 eta: 7:47:54 time: 0.6263 data_time: 0.0595 memory: 51970 grad_norm: 0.1301 loss: 0.0345 recall@thr=0.5: 0.6824 prec@thr=0.5: 0.7206 recall@top3: 0.7863 prec@top3: 0.7059 recall@top5: 0.9020 prec@top5: 0.5176 loss_action_cls: 0.0345 2023/03/11 01:59:10 - mmengine - INFO - Epoch(train) [11][2840/4451] lr: 2.0494e-06 eta: 7:47:40 time: 0.6174 data_time: 0.0237 memory: 51970 grad_norm: 0.1366 loss: 0.0312 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.7361 recall@top3: 0.8438 prec@top3: 0.6528 recall@top5: 0.9618 prec@top5: 0.4500 loss_action_cls: 0.0312 2023/03/11 01:59:24 - mmengine - INFO - Epoch(train) [11][2860/4451] lr: 2.0481e-06 eta: 7:47:27 time: 0.7149 data_time: 0.0184 memory: 51970 grad_norm: 0.1313 loss: 0.0332 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.6583 recall@top3: 0.9167 prec@top3: 0.5833 recall@top5: 0.9167 prec@top5: 0.3500 loss_action_cls: 0.0332 2023/03/11 01:59:37 - mmengine - INFO - Epoch(train) [11][2880/4451] lr: 2.0468e-06 eta: 7:47:13 time: 0.6360 data_time: 0.0122 memory: 51970 grad_norm: 0.1299 loss: 0.0347 recall@thr=0.5: 0.5992 prec@thr=0.5: 0.7302 recall@top3: 0.8790 prec@top3: 0.6429 recall@top5: 0.9325 prec@top5: 0.4095 loss_action_cls: 0.0347 2023/03/11 01:59:50 - mmengine - INFO - Epoch(train) [11][2900/4451] lr: 2.0455e-06 eta: 7:46:59 time: 0.6369 data_time: 0.0134 memory: 51970 grad_norm: 0.1359 loss: 0.0302 recall@thr=0.5: 0.7992 prec@thr=0.5: 0.9091 recall@top3: 0.9091 prec@top3: 0.7879 recall@top5: 0.9697 prec@top5: 0.5182 loss_action_cls: 0.0302 2023/03/11 02:00:02 - mmengine - INFO - Epoch(train) [11][2920/4451] lr: 2.0442e-06 eta: 7:46:44 time: 0.6186 data_time: 0.0140 memory: 51970 grad_norm: 0.1358 loss: 0.0341 recall@thr=0.5: 0.5264 prec@thr=0.5: 0.5361 recall@top3: 0.7271 prec@top3: 0.6111 recall@top5: 0.9208 prec@top5: 0.4917 loss_action_cls: 0.0341 2023/03/11 02:00:17 - mmengine - INFO - Epoch(train) [11][2940/4451] lr: 2.0429e-06 eta: 7:46:32 time: 0.7617 data_time: 0.0118 memory: 51970 grad_norm: 0.1350 loss: 0.0332 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7727 recall@top3: 0.8485 prec@top3: 0.7273 recall@top5: 0.9508 prec@top5: 0.5000 loss_action_cls: 0.0332 2023/03/11 02:00:29 - mmengine - INFO - Epoch(train) [11][2960/4451] lr: 2.0416e-06 eta: 7:46:17 time: 0.5715 data_time: 0.0134 memory: 51970 grad_norm: 0.1352 loss: 0.0311 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7619 recall@top3: 0.8095 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3571 loss_action_cls: 0.0311 2023/03/11 02:00:45 - mmengine - INFO - Epoch(train) [11][2980/4451] lr: 2.0403e-06 eta: 7:46:06 time: 0.8085 data_time: 0.0116 memory: 51970 grad_norm: 0.1310 loss: 0.0322 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8431 recall@top3: 0.8333 prec@top3: 0.6471 recall@top5: 0.9216 prec@top5: 0.4471 loss_action_cls: 0.0322 2023/03/11 02:00:57 - mmengine - INFO - Epoch(train) [11][3000/4451] lr: 2.0390e-06 eta: 7:45:52 time: 0.6324 data_time: 0.0175 memory: 51970 grad_norm: 0.1332 loss: 0.0320 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.7500 recall@top3: 0.9375 prec@top3: 0.5694 recall@top5: 0.9792 prec@top5: 0.3500 loss_action_cls: 0.0320 2023/03/11 02:01:12 - mmengine - INFO - Epoch(train) [11][3020/4451] lr: 2.0377e-06 eta: 7:45:39 time: 0.7288 data_time: 0.0683 memory: 51970 grad_norm: 0.1391 loss: 0.0361 recall@thr=0.5: 0.5920 prec@thr=0.5: 0.7644 recall@top3: 0.7500 prec@top3: 0.7126 recall@top5: 0.8793 prec@top5: 0.5172 loss_action_cls: 0.0361 2023/03/11 02:01:25 - mmengine - INFO - Epoch(train) [11][3040/4451] lr: 2.0364e-06 eta: 7:45:25 time: 0.6356 data_time: 0.0784 memory: 51970 grad_norm: 0.1360 loss: 0.0357 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.7500 recall@top3: 0.6979 prec@top3: 0.4583 recall@top5: 0.8281 prec@top5: 0.3500 loss_action_cls: 0.0357 2023/03/11 02:01:40 - mmengine - INFO - Epoch(train) [11][3060/4451] lr: 2.0351e-06 eta: 7:45:13 time: 0.7555 data_time: 0.1710 memory: 51970 grad_norm: 0.1291 loss: 0.0329 recall@thr=0.5: 0.6789 prec@thr=0.5: 0.7667 recall@top3: 0.8133 prec@top3: 0.8000 recall@top5: 0.9556 prec@top5: 0.5867 loss_action_cls: 0.0329 2023/03/11 02:01:53 - mmengine - INFO - Epoch(train) [11][3080/4451] lr: 2.0338e-06 eta: 7:44:59 time: 0.6344 data_time: 0.2068 memory: 51970 grad_norm: 0.1274 loss: 0.0314 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.5762 recall@top3: 0.8095 prec@top3: 0.5429 recall@top5: 0.9619 prec@top5: 0.3943 loss_action_cls: 0.0314 2023/03/11 02:02:07 - mmengine - INFO - Epoch(train) [11][3100/4451] lr: 2.0325e-06 eta: 7:44:47 time: 0.7333 data_time: 0.1551 memory: 51970 grad_norm: 0.1343 loss: 0.0354 recall@thr=0.5: 0.7241 prec@thr=0.5: 0.7098 recall@top3: 0.7931 prec@top3: 0.7586 recall@top5: 0.9770 prec@top5: 0.5793 loss_action_cls: 0.0354 2023/03/11 02:02:19 - mmengine - INFO - Epoch(train) [11][3120/4451] lr: 2.0312e-06 eta: 7:44:32 time: 0.5951 data_time: 0.0265 memory: 51970 grad_norm: 0.1315 loss: 0.0376 recall@thr=0.5: 0.6023 prec@thr=0.5: 0.6591 recall@top3: 0.8636 prec@top3: 0.6061 recall@top5: 0.9545 prec@top5: 0.4182 loss_action_cls: 0.0376 2023/03/11 02:02:33 - mmengine - INFO - Epoch(train) [11][3140/4451] lr: 2.0299e-06 eta: 7:44:19 time: 0.6960 data_time: 0.1874 memory: 51970 grad_norm: 0.1330 loss: 0.0314 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.8864 recall@top3: 0.9318 prec@top3: 0.6818 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0314 2023/03/11 02:02:45 - mmengine - INFO - Epoch(train) [11][3160/4451] lr: 2.0286e-06 eta: 7:44:04 time: 0.6101 data_time: 0.1435 memory: 51970 grad_norm: 0.1386 loss: 0.0334 recall@thr=0.5: 0.7694 prec@thr=0.5: 0.8611 recall@top3: 0.8250 prec@top3: 0.8333 recall@top5: 0.9472 prec@top5: 0.5778 loss_action_cls: 0.0334 2023/03/11 02:03:00 - mmengine - INFO - Epoch(train) [11][3180/4451] lr: 2.0273e-06 eta: 7:43:52 time: 0.7576 data_time: 0.0448 memory: 51970 grad_norm: 0.1350 loss: 0.0337 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.9118 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.4353 loss_action_cls: 0.0337 2023/03/11 02:03:12 - mmengine - INFO - Epoch(train) [11][3200/4451] lr: 2.0260e-06 eta: 7:43:37 time: 0.5700 data_time: 0.0122 memory: 51970 grad_norm: 0.1338 loss: 0.0364 recall@thr=0.5: 0.6109 prec@thr=0.5: 0.7899 recall@top3: 0.7493 prec@top3: 0.7101 recall@top5: 0.8630 prec@top5: 0.5217 loss_action_cls: 0.0364 2023/03/11 02:03:25 - mmengine - INFO - Epoch(train) [11][3220/4451] lr: 2.0247e-06 eta: 7:43:24 time: 0.6805 data_time: 0.0128 memory: 51970 grad_norm: 0.1307 loss: 0.0309 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.7636 recall@top3: 0.8889 prec@top3: 0.7407 recall@top5: 0.9691 prec@top5: 0.4963 loss_action_cls: 0.0309 2023/03/11 02:03:38 - mmengine - INFO - Epoch(train) [11][3240/4451] lr: 2.0234e-06 eta: 7:43:09 time: 0.6184 data_time: 0.0121 memory: 51970 grad_norm: 0.1343 loss: 0.0342 recall@thr=0.5: 0.7725 prec@thr=0.5: 0.7745 recall@top3: 0.8784 prec@top3: 0.5490 recall@top5: 0.9882 prec@top5: 0.3882 loss_action_cls: 0.0342 2023/03/11 02:03:53 - mmengine - INFO - Epoch(train) [11][3260/4451] lr: 2.0221e-06 eta: 7:42:57 time: 0.7714 data_time: 0.0118 memory: 51970 grad_norm: 0.1273 loss: 0.0345 recall@thr=0.5: 0.4648 prec@thr=0.5: 0.6667 recall@top3: 0.7102 prec@top3: 0.7037 recall@top5: 0.9074 prec@top5: 0.5333 loss_action_cls: 0.0345 2023/03/11 02:04:06 - mmengine - INFO - Epoch(train) [11][3280/4451] lr: 2.0208e-06 eta: 7:42:43 time: 0.6439 data_time: 0.0222 memory: 51970 grad_norm: 0.1386 loss: 0.0346 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7544 recall@top3: 0.8816 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4316 loss_action_cls: 0.0346 2023/03/11 02:04:21 - mmengine - INFO - Epoch(train) [11][3300/4451] lr: 2.0195e-06 eta: 7:42:31 time: 0.7384 data_time: 0.0130 memory: 51970 grad_norm: 0.1325 loss: 0.0350 recall@thr=0.5: 0.6127 prec@thr=0.5: 0.6324 recall@top3: 0.7353 prec@top3: 0.6078 recall@top5: 0.9167 prec@top5: 0.4588 loss_action_cls: 0.0350 2023/03/11 02:04:32 - mmengine - INFO - Epoch(train) [11][3320/4451] lr: 2.0182e-06 eta: 7:42:16 time: 0.5682 data_time: 0.0125 memory: 51970 grad_norm: 0.1302 loss: 0.0360 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8529 recall@top3: 0.7745 prec@top3: 0.5098 recall@top5: 0.9608 prec@top5: 0.3647 loss_action_cls: 0.0360 2023/03/11 02:04:46 - mmengine - INFO - Epoch(train) [11][3340/4451] lr: 2.0169e-06 eta: 7:42:02 time: 0.6714 data_time: 0.0124 memory: 51970 grad_norm: 0.1268 loss: 0.0324 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8594 recall@top3: 0.9062 prec@top3: 0.8333 recall@top5: 0.9792 prec@top5: 0.5500 loss_action_cls: 0.0324 2023/03/11 02:04:58 - mmengine - INFO - Epoch(train) [11][3360/4451] lr: 2.0156e-06 eta: 7:41:48 time: 0.6320 data_time: 0.0134 memory: 51970 grad_norm: 0.1394 loss: 0.0342 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7604 recall@top3: 0.8802 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0342 2023/03/11 02:05:11 - mmengine - INFO - Epoch(train) [11][3380/4451] lr: 2.0143e-06 eta: 7:41:34 time: 0.6224 data_time: 0.0198 memory: 51970 grad_norm: 0.1293 loss: 0.0316 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6574 recall@top3: 0.7500 prec@top3: 0.5000 recall@top5: 0.9722 prec@top5: 0.3556 loss_action_cls: 0.0316 2023/03/11 02:05:24 - mmengine - INFO - Epoch(train) [11][3400/4451] lr: 2.0130e-06 eta: 7:41:20 time: 0.6631 data_time: 0.0124 memory: 51970 grad_norm: 0.1390 loss: 0.0346 recall@thr=0.5: 0.6789 prec@thr=0.5: 0.7667 recall@top3: 0.8239 prec@top3: 0.5111 recall@top5: 0.9117 prec@top5: 0.3600 loss_action_cls: 0.0346 2023/03/11 02:05:37 - mmengine - INFO - Epoch(train) [11][3420/4451] lr: 2.0117e-06 eta: 7:41:07 time: 0.6671 data_time: 0.0130 memory: 51970 grad_norm: 0.1282 loss: 0.0331 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7500 recall@top3: 0.7917 prec@top3: 0.6250 recall@top5: 0.9219 prec@top5: 0.4625 loss_action_cls: 0.0331 2023/03/11 02:05:49 - mmengine - INFO - Epoch(train) [11][3440/4451] lr: 2.0104e-06 eta: 7:40:51 time: 0.5601 data_time: 0.0114 memory: 51970 grad_norm: 0.1363 loss: 0.0366 recall@thr=0.5: 0.6767 prec@thr=0.5: 0.8133 recall@top3: 0.8667 prec@top3: 0.6133 recall@top5: 0.9000 prec@top5: 0.3920 loss_action_cls: 0.0366 2023/03/11 02:06:02 - mmengine - INFO - Epoch(train) [11][3460/4451] lr: 2.0091e-06 eta: 7:40:37 time: 0.6497 data_time: 0.0132 memory: 51970 grad_norm: 0.1339 loss: 0.0311 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7917 recall@top3: 0.8042 prec@top3: 0.7500 recall@top5: 0.9417 prec@top5: 0.5400 loss_action_cls: 0.0311 2023/03/11 02:06:14 - mmengine - INFO - Epoch(train) [11][3480/4451] lr: 2.0078e-06 eta: 7:40:23 time: 0.6012 data_time: 0.0134 memory: 51970 grad_norm: 0.1330 loss: 0.0310 recall@thr=0.5: 0.6987 prec@thr=0.5: 0.6987 recall@top3: 0.8301 prec@top3: 0.6667 recall@top5: 0.9231 prec@top5: 0.4615 loss_action_cls: 0.0310 2023/03/11 02:06:20 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 02:06:28 - mmengine - INFO - Epoch(train) [11][3500/4451] lr: 2.0064e-06 eta: 7:40:10 time: 0.6972 data_time: 0.0124 memory: 51970 grad_norm: 0.1381 loss: 0.0337 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.7460 recall@top3: 0.8968 prec@top3: 0.6190 recall@top5: 0.9841 prec@top5: 0.4286 loss_action_cls: 0.0337 2023/03/11 02:06:39 - mmengine - INFO - Epoch(train) [11][3520/4451] lr: 2.0051e-06 eta: 7:39:55 time: 0.5847 data_time: 0.0123 memory: 51970 grad_norm: 0.1293 loss: 0.0304 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8090 recall@top3: 0.9444 prec@top3: 0.6389 recall@top5: 0.9583 prec@top5: 0.3917 loss_action_cls: 0.0304 2023/03/11 02:06:51 - mmengine - INFO - Epoch(train) [11][3540/4451] lr: 2.0038e-06 eta: 7:39:39 time: 0.5714 data_time: 0.0134 memory: 51970 grad_norm: 0.1337 loss: 0.0325 recall@thr=0.5: 0.7784 prec@thr=0.5: 0.8824 recall@top3: 0.9333 prec@top3: 0.8627 recall@top5: 0.9686 prec@top5: 0.5529 loss_action_cls: 0.0325 2023/03/11 02:07:03 - mmengine - INFO - Epoch(train) [11][3560/4451] lr: 2.0025e-06 eta: 7:39:25 time: 0.6067 data_time: 0.0140 memory: 51970 grad_norm: 0.1291 loss: 0.0351 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8509 recall@top3: 0.8509 prec@top3: 0.7018 recall@top5: 0.9561 prec@top5: 0.4842 loss_action_cls: 0.0351 2023/03/11 02:07:17 - mmengine - INFO - Epoch(train) [11][3580/4451] lr: 2.0012e-06 eta: 7:39:12 time: 0.6933 data_time: 0.0131 memory: 51970 grad_norm: 0.1330 loss: 0.0324 recall@thr=0.5: 0.5750 prec@thr=0.5: 0.7000 recall@top3: 0.8500 prec@top3: 0.6500 recall@top5: 0.9167 prec@top5: 0.4300 loss_action_cls: 0.0324 2023/03/11 02:07:28 - mmengine - INFO - Epoch(train) [11][3600/4451] lr: 1.9999e-06 eta: 7:38:57 time: 0.5861 data_time: 0.0133 memory: 51970 grad_norm: 0.1351 loss: 0.0345 recall@thr=0.5: 0.6424 prec@thr=0.5: 0.6250 recall@top3: 0.7091 prec@top3: 0.5758 recall@top5: 0.8773 prec@top5: 0.4364 loss_action_cls: 0.0345 2023/03/11 02:07:42 - mmengine - INFO - Epoch(train) [11][3620/4451] lr: 1.9986e-06 eta: 7:38:43 time: 0.6553 data_time: 0.0126 memory: 51970 grad_norm: 0.1332 loss: 0.0314 recall@thr=0.5: 0.6672 prec@thr=0.5: 0.7760 recall@top3: 0.8286 prec@top3: 0.6979 recall@top5: 0.9052 prec@top5: 0.4625 loss_action_cls: 0.0314 2023/03/11 02:07:53 - mmengine - INFO - Epoch(train) [11][3640/4451] lr: 1.9973e-06 eta: 7:38:27 time: 0.5554 data_time: 0.0124 memory: 51970 grad_norm: 0.1304 loss: 0.0354 recall@thr=0.5: 0.3712 prec@thr=0.5: 0.4583 recall@top3: 0.7538 prec@top3: 0.5303 recall@top5: 0.8409 prec@top5: 0.3545 loss_action_cls: 0.0354 2023/03/11 02:08:06 - mmengine - INFO - Epoch(train) [11][3660/4451] lr: 1.9960e-06 eta: 7:38:14 time: 0.6483 data_time: 0.0131 memory: 51970 grad_norm: 0.1381 loss: 0.0331 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.8627 recall@top3: 0.8382 prec@top3: 0.7255 recall@top5: 0.9265 prec@top5: 0.5059 loss_action_cls: 0.0331 2023/03/11 02:08:17 - mmengine - INFO - Epoch(train) [11][3680/4451] lr: 1.9947e-06 eta: 7:37:58 time: 0.5730 data_time: 0.0128 memory: 51970 grad_norm: 0.1299 loss: 0.0317 recall@thr=0.5: 0.6233 prec@thr=0.5: 0.7200 recall@top3: 0.8933 prec@top3: 0.6667 recall@top5: 0.9767 prec@top5: 0.4400 loss_action_cls: 0.0317 2023/03/11 02:08:30 - mmengine - INFO - Epoch(train) [11][3700/4451] lr: 1.9933e-06 eta: 7:37:44 time: 0.6288 data_time: 0.0130 memory: 51970 grad_norm: 0.1373 loss: 0.0328 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6146 recall@top3: 0.8125 prec@top3: 0.4583 recall@top5: 0.8750 prec@top5: 0.3000 loss_action_cls: 0.0328 2023/03/11 02:08:42 - mmengine - INFO - Epoch(train) [11][3720/4451] lr: 1.9920e-06 eta: 7:37:30 time: 0.6348 data_time: 0.0122 memory: 51970 grad_norm: 0.1344 loss: 0.0321 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.6944 recall@top3: 0.7639 prec@top3: 0.5185 recall@top5: 0.9167 prec@top5: 0.3778 loss_action_cls: 0.0321 2023/03/11 02:08:56 - mmengine - INFO - Epoch(train) [11][3740/4451] lr: 1.9907e-06 eta: 7:37:17 time: 0.6905 data_time: 0.0125 memory: 51970 grad_norm: 0.1293 loss: 0.0328 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.9062 recall@top3: 0.8750 prec@top3: 0.8333 recall@top5: 0.9375 prec@top5: 0.5500 loss_action_cls: 0.0328 2023/03/11 02:09:10 - mmengine - INFO - Epoch(train) [11][3760/4451] lr: 1.9894e-06 eta: 7:37:04 time: 0.6830 data_time: 0.0126 memory: 51970 grad_norm: 0.1340 loss: 0.0335 recall@thr=0.5: 0.7064 prec@thr=0.5: 0.7756 recall@top3: 0.8833 prec@top3: 0.7949 recall@top5: 0.9288 prec@top5: 0.5154 loss_action_cls: 0.0335 2023/03/11 02:09:23 - mmengine - INFO - Epoch(train) [11][3780/4451] lr: 1.9881e-06 eta: 7:36:50 time: 0.6787 data_time: 0.0133 memory: 51970 grad_norm: 0.1373 loss: 0.0348 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.7867 recall@top3: 0.8333 prec@top3: 0.5733 recall@top5: 0.9800 prec@top5: 0.3840 loss_action_cls: 0.0348 2023/03/11 02:09:36 - mmengine - INFO - Epoch(train) [11][3800/4451] lr: 1.9868e-06 eta: 7:36:36 time: 0.6333 data_time: 0.0131 memory: 51970 grad_norm: 0.1320 loss: 0.0343 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8889 recall@top3: 0.8556 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0343 2023/03/11 02:09:48 - mmengine - INFO - Epoch(train) [11][3820/4451] lr: 1.9855e-06 eta: 7:36:22 time: 0.6119 data_time: 0.0133 memory: 51970 grad_norm: 0.1370 loss: 0.0347 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.7778 recall@top3: 0.9167 prec@top3: 0.5926 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0347 2023/03/11 02:10:01 - mmengine - INFO - Epoch(train) [11][3840/4451] lr: 1.9841e-06 eta: 7:36:08 time: 0.6548 data_time: 0.0131 memory: 51970 grad_norm: 0.1353 loss: 0.0329 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7917 recall@top3: 0.8175 prec@top3: 0.7833 recall@top5: 0.8925 prec@top5: 0.5200 loss_action_cls: 0.0329 2023/03/11 02:10:12 - mmengine - INFO - Epoch(train) [11][3860/4451] lr: 1.9828e-06 eta: 7:35:52 time: 0.5364 data_time: 0.0125 memory: 51970 grad_norm: 0.1330 loss: 0.0307 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7436 recall@top3: 0.8718 prec@top3: 0.7179 recall@top5: 0.8718 prec@top5: 0.4308 loss_action_cls: 0.0307 2023/03/11 02:10:26 - mmengine - INFO - Epoch(train) [11][3880/4451] lr: 1.9815e-06 eta: 7:35:39 time: 0.6728 data_time: 0.0113 memory: 51970 grad_norm: 0.1412 loss: 0.0368 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6875 recall@top3: 0.8229 prec@top3: 0.6250 recall@top5: 0.8958 prec@top5: 0.4250 loss_action_cls: 0.0368 2023/03/11 02:10:40 - mmengine - INFO - Epoch(train) [11][3900/4451] lr: 1.9802e-06 eta: 7:35:26 time: 0.7104 data_time: 0.0138 memory: 51970 grad_norm: 0.1307 loss: 0.0349 recall@thr=0.5: 0.8133 prec@thr=0.5: 0.7667 recall@top3: 0.8067 prec@top3: 0.5733 recall@top5: 0.9567 prec@top5: 0.4320 loss_action_cls: 0.0349 2023/03/11 02:10:52 - mmengine - INFO - Epoch(train) [11][3920/4451] lr: 1.9789e-06 eta: 7:35:12 time: 0.6272 data_time: 0.0131 memory: 51970 grad_norm: 0.1359 loss: 0.0378 recall@thr=0.5: 0.5509 prec@thr=0.5: 0.6620 recall@top3: 0.7639 prec@top3: 0.5926 recall@top5: 0.9167 prec@top5: 0.4444 loss_action_cls: 0.0378 2023/03/11 02:11:04 - mmengine - INFO - Epoch(train) [11][3940/4451] lr: 1.9776e-06 eta: 7:34:57 time: 0.6032 data_time: 0.0135 memory: 51970 grad_norm: 0.1336 loss: 0.0336 recall@thr=0.5: 0.4474 prec@thr=0.5: 0.6140 recall@top3: 0.8246 prec@top3: 0.5439 recall@top5: 0.9737 prec@top5: 0.3895 loss_action_cls: 0.0336 2023/03/11 02:11:18 - mmengine - INFO - Epoch(train) [11][3960/4451] lr: 1.9762e-06 eta: 7:34:44 time: 0.6958 data_time: 0.0119 memory: 51970 grad_norm: 0.1398 loss: 0.0336 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.9333 recall@top3: 0.9083 prec@top3: 0.6333 recall@top5: 0.9667 prec@top5: 0.4200 loss_action_cls: 0.0336 2023/03/11 02:11:31 - mmengine - INFO - Epoch(train) [11][3980/4451] lr: 1.9749e-06 eta: 7:34:30 time: 0.6338 data_time: 0.0134 memory: 51970 grad_norm: 0.1324 loss: 0.0332 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.5885 recall@top3: 0.8021 prec@top3: 0.5208 recall@top5: 0.8333 prec@top5: 0.3250 loss_action_cls: 0.0332 2023/03/11 02:11:45 - mmengine - INFO - Epoch(train) [11][4000/4451] lr: 1.9736e-06 eta: 7:34:17 time: 0.7122 data_time: 0.0121 memory: 51970 grad_norm: 0.1374 loss: 0.0346 recall@thr=0.5: 0.8290 prec@thr=0.5: 0.8623 recall@top3: 0.8348 prec@top3: 0.7681 recall@top5: 0.9493 prec@top5: 0.5478 loss_action_cls: 0.0346 2023/03/11 02:11:57 - mmengine - INFO - Epoch(train) [11][4020/4451] lr: 1.9723e-06 eta: 7:34:02 time: 0.5886 data_time: 0.0127 memory: 51970 grad_norm: 0.1353 loss: 0.0392 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7778 recall@top3: 0.7407 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.5556 loss_action_cls: 0.0392 2023/03/11 02:12:10 - mmengine - INFO - Epoch(train) [11][4040/4451] lr: 1.9710e-06 eta: 7:33:48 time: 0.6412 data_time: 0.0112 memory: 51970 grad_norm: 0.1377 loss: 0.0337 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.6914 recall@top3: 0.7531 prec@top3: 0.6296 recall@top5: 0.8333 prec@top5: 0.4370 loss_action_cls: 0.0337 2023/03/11 02:12:23 - mmengine - INFO - Epoch(train) [11][4060/4451] lr: 1.9696e-06 eta: 7:33:35 time: 0.6622 data_time: 0.0124 memory: 51970 grad_norm: 0.1355 loss: 0.0302 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.7319 recall@top3: 0.8370 prec@top3: 0.6812 recall@top5: 0.9493 prec@top5: 0.4783 loss_action_cls: 0.0302 2023/03/11 02:12:38 - mmengine - INFO - Epoch(train) [11][4080/4451] lr: 1.9683e-06 eta: 7:33:23 time: 0.7632 data_time: 0.0124 memory: 51970 grad_norm: 0.1336 loss: 0.0348 recall@thr=0.5: 0.6231 prec@thr=0.5: 0.6704 recall@top3: 0.8574 prec@top3: 0.6667 recall@top5: 0.8963 prec@top5: 0.4333 loss_action_cls: 0.0348 2023/03/11 02:12:50 - mmengine - INFO - Epoch(train) [11][4100/4451] lr: 1.9670e-06 eta: 7:33:08 time: 0.5993 data_time: 0.0121 memory: 51970 grad_norm: 0.1356 loss: 0.0350 recall@thr=0.5: 0.6939 prec@thr=0.5: 0.7889 recall@top3: 0.7389 prec@top3: 0.7667 recall@top5: 0.9450 prec@top5: 0.6200 loss_action_cls: 0.0350 2023/03/11 02:13:03 - mmengine - INFO - Epoch(train) [11][4120/4451] lr: 1.9657e-06 eta: 7:32:54 time: 0.6456 data_time: 0.0125 memory: 51970 grad_norm: 0.1316 loss: 0.0377 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8929 recall@top3: 0.9405 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4714 loss_action_cls: 0.0377 2023/03/11 02:13:15 - mmengine - INFO - Epoch(train) [11][4140/4451] lr: 1.9643e-06 eta: 7:32:39 time: 0.5850 data_time: 0.0130 memory: 51970 grad_norm: 0.1323 loss: 0.0367 recall@thr=0.5: 0.7177 prec@thr=0.5: 0.8441 recall@top3: 0.8710 prec@top3: 0.7634 recall@top5: 0.9543 prec@top5: 0.5097 loss_action_cls: 0.0367 2023/03/11 02:13:28 - mmengine - INFO - Epoch(train) [11][4160/4451] lr: 1.9630e-06 eta: 7:32:25 time: 0.6269 data_time: 0.0141 memory: 51970 grad_norm: 0.1398 loss: 0.0355 recall@thr=0.5: 0.5452 prec@thr=0.5: 0.6905 recall@top3: 0.7524 prec@top3: 0.7143 recall@top5: 0.9238 prec@top5: 0.5429 loss_action_cls: 0.0355 2023/03/11 02:13:38 - mmengine - INFO - Epoch(train) [11][4180/4451] lr: 1.9617e-06 eta: 7:32:09 time: 0.5358 data_time: 0.0117 memory: 51970 grad_norm: 0.1403 loss: 0.0353 recall@thr=0.5: 0.7853 prec@thr=0.5: 0.8137 recall@top3: 0.7569 prec@top3: 0.7843 recall@top5: 0.9412 prec@top5: 0.5882 loss_action_cls: 0.0353 2023/03/11 02:13:52 - mmengine - INFO - Epoch(train) [11][4200/4451] lr: 1.9604e-06 eta: 7:31:56 time: 0.6976 data_time: 0.0137 memory: 51970 grad_norm: 0.1340 loss: 0.0346 recall@thr=0.5: 0.5600 prec@thr=0.5: 0.8267 recall@top3: 0.8600 prec@top3: 0.7733 recall@top5: 0.9733 prec@top5: 0.5280 loss_action_cls: 0.0346 2023/03/11 02:14:03 - mmengine - INFO - Epoch(train) [11][4220/4451] lr: 1.9591e-06 eta: 7:31:41 time: 0.5560 data_time: 0.0129 memory: 51970 grad_norm: 0.1343 loss: 0.0324 recall@thr=0.5: 0.9118 prec@thr=0.5: 0.9216 recall@top3: 0.9706 prec@top3: 0.8235 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0324 2023/03/11 02:14:17 - mmengine - INFO - Epoch(train) [11][4240/4451] lr: 1.9577e-06 eta: 7:31:27 time: 0.6703 data_time: 0.0138 memory: 51970 grad_norm: 0.1335 loss: 0.0342 recall@thr=0.5: 0.5729 prec@thr=0.5: 0.7187 recall@top3: 0.8090 prec@top3: 0.6250 recall@top5: 0.8750 prec@top5: 0.4167 loss_action_cls: 0.0342 2023/03/11 02:14:29 - mmengine - INFO - Epoch(train) [11][4260/4451] lr: 1.9564e-06 eta: 7:31:13 time: 0.6042 data_time: 0.0119 memory: 51970 grad_norm: 0.1365 loss: 0.0303 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7183 recall@top3: 0.7738 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.5143 loss_action_cls: 0.0303 2023/03/11 02:14:42 - mmengine - INFO - Epoch(train) [11][4280/4451] lr: 1.9551e-06 eta: 7:30:59 time: 0.6442 data_time: 0.0137 memory: 51970 grad_norm: 0.1345 loss: 0.0306 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7353 recall@top3: 0.7941 prec@top3: 0.6667 recall@top5: 0.9216 prec@top5: 0.4706 loss_action_cls: 0.0306 2023/03/11 02:14:52 - mmengine - INFO - Epoch(train) [11][4300/4451] lr: 1.9538e-06 eta: 7:30:43 time: 0.5110 data_time: 0.0183 memory: 51970 grad_norm: 0.1292 loss: 0.0313 recall@thr=0.5: 0.6157 prec@thr=0.5: 0.8241 recall@top3: 0.8843 prec@top3: 0.6481 recall@top5: 0.9815 prec@top5: 0.4444 loss_action_cls: 0.0313 2023/03/11 02:15:06 - mmengine - INFO - Epoch(train) [11][4320/4451] lr: 1.9524e-06 eta: 7:30:30 time: 0.6958 data_time: 0.0121 memory: 51970 grad_norm: 0.1324 loss: 0.0345 recall@thr=0.5: 0.7616 prec@thr=0.5: 0.7212 recall@top3: 0.8424 prec@top3: 0.7374 recall@top5: 0.9227 prec@top5: 0.4970 loss_action_cls: 0.0345 2023/03/11 02:15:19 - mmengine - INFO - Epoch(train) [11][4340/4451] lr: 1.9511e-06 eta: 7:30:16 time: 0.6387 data_time: 0.0130 memory: 51970 grad_norm: 0.1344 loss: 0.0352 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8958 recall@top3: 0.8542 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0352 2023/03/11 02:15:32 - mmengine - INFO - Epoch(train) [11][4360/4451] lr: 1.9498e-06 eta: 7:30:02 time: 0.6803 data_time: 0.0177 memory: 51970 grad_norm: 0.1291 loss: 0.0288 recall@thr=0.5: 0.7302 prec@thr=0.5: 0.7103 recall@top3: 0.8730 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4952 loss_action_cls: 0.0288 2023/03/11 02:15:45 - mmengine - INFO - Epoch(train) [11][4380/4451] lr: 1.9484e-06 eta: 7:29:48 time: 0.6470 data_time: 0.0138 memory: 51970 grad_norm: 0.1343 loss: 0.0356 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.7174 recall@top3: 0.7971 prec@top3: 0.5507 recall@top5: 0.9130 prec@top5: 0.3826 loss_action_cls: 0.0356 2023/03/11 02:15:58 - mmengine - INFO - Epoch(train) [11][4400/4451] lr: 1.9471e-06 eta: 7:29:34 time: 0.6309 data_time: 0.0122 memory: 51970 grad_norm: 0.1385 loss: 0.0329 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7262 recall@top3: 0.7857 prec@top3: 0.7619 recall@top5: 0.9048 prec@top5: 0.5286 loss_action_cls: 0.0329 2023/03/11 02:16:12 - mmengine - INFO - Epoch(train) [11][4420/4451] lr: 1.9458e-06 eta: 7:29:21 time: 0.7146 data_time: 0.0129 memory: 51970 grad_norm: 0.1277 loss: 0.0317 recall@thr=0.5: 0.8768 prec@thr=0.5: 0.8986 recall@top3: 0.9783 prec@top3: 0.7536 recall@top5: 1.0000 prec@top5: 0.4696 loss_action_cls: 0.0317 2023/03/11 02:16:25 - mmengine - INFO - Epoch(train) [11][4440/4451] lr: 1.9445e-06 eta: 7:29:08 time: 0.6520 data_time: 0.0134 memory: 51970 grad_norm: 0.1342 loss: 0.0314 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8452 recall@top3: 0.8889 prec@top3: 0.6032 recall@top5: 0.9286 prec@top5: 0.3905 loss_action_cls: 0.0314 2023/03/11 02:16:30 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 02:16:30 - mmengine - INFO - Epoch(train) [11][4451/4451] lr: 1.9437e-06 eta: 7:28:58 time: 0.5945 data_time: 0.0112 memory: 51970 grad_norm: 0.1356 loss: 0.0309 recall@thr=0.5: 0.8681 prec@thr=0.5: 0.9236 recall@top3: 0.8681 prec@top3: 0.5833 recall@top5: 0.9236 prec@top5: 0.3833 loss_action_cls: 0.0309 2023/03/11 02:16:30 - mmengine - INFO - Saving checkpoint at 11 epochs 2023/03/11 02:16:36 - mmengine - INFO - Epoch(val) [11][ 20/6282] eta: 0:08:00 time: 0.0767 data_time: 0.0317 memory: 2331 2023/03/11 02:16:38 - mmengine - INFO - Epoch(val) [11][ 40/6282] eta: 0:06:45 time: 0.0531 data_time: 0.0078 memory: 2331 2023/03/11 02:16:39 - mmengine - INFO - Epoch(val) [11][ 60/6282] eta: 0:06:32 time: 0.0595 data_time: 0.0164 memory: 2331 2023/03/11 02:16:40 - mmengine - INFO - Epoch(val) [11][ 80/6282] eta: 0:06:43 time: 0.0709 data_time: 0.0281 memory: 2331 2023/03/11 02:16:41 - mmengine - INFO - Epoch(val) [11][ 100/6282] eta: 0:06:34 time: 0.0588 data_time: 0.0152 memory: 2331 2023/03/11 02:16:43 - mmengine - INFO - Epoch(val) [11][ 120/6282] eta: 0:06:29 time: 0.0608 data_time: 0.0068 memory: 2934 2023/03/11 02:16:44 - mmengine - INFO - Epoch(val) [11][ 140/6282] eta: 0:06:28 time: 0.0626 data_time: 0.0022 memory: 2934 2023/03/11 02:16:45 - mmengine - INFO - Epoch(val) [11][ 160/6282] eta: 0:06:27 time: 0.0647 data_time: 0.0021 memory: 2934 2023/03/11 02:16:46 - mmengine - INFO - Epoch(val) [11][ 180/6282] eta: 0:06:25 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/11 02:16:48 - mmengine - INFO - Epoch(val) [11][ 200/6282] eta: 0:06:22 time: 0.0605 data_time: 0.0024 memory: 2934 2023/03/11 02:16:49 - mmengine - INFO - Epoch(val) [11][ 220/6282] eta: 0:06:13 time: 0.0485 data_time: 0.0027 memory: 2396 2023/03/11 02:16:50 - mmengine - INFO - Epoch(val) [11][ 240/6282] eta: 0:06:05 time: 0.0484 data_time: 0.0026 memory: 2396 2023/03/11 02:16:51 - mmengine - INFO - Epoch(val) [11][ 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[11][5700/6282] eta: 0:00:37 time: 0.0678 data_time: 0.0221 memory: 2396 2023/03/11 02:22:42 - mmengine - INFO - Epoch(val) [11][5720/6282] eta: 0:00:35 time: 0.0629 data_time: 0.0112 memory: 2686 2023/03/11 02:22:43 - mmengine - INFO - Epoch(val) [11][5740/6282] eta: 0:00:34 time: 0.0583 data_time: 0.0025 memory: 2686 2023/03/11 02:22:45 - mmengine - INFO - Epoch(val) [11][5760/6282] eta: 0:00:33 time: 0.0576 data_time: 0.0023 memory: 2686 2023/03/11 02:22:46 - mmengine - INFO - Epoch(val) [11][5780/6282] eta: 0:00:32 time: 0.0596 data_time: 0.0025 memory: 2686 2023/03/11 02:22:47 - mmengine - INFO - Epoch(val) [11][5800/6282] eta: 0:00:30 time: 0.0575 data_time: 0.0020 memory: 2686 2023/03/11 02:22:48 - mmengine - INFO - Epoch(val) [11][5820/6282] eta: 0:00:29 time: 0.0538 data_time: 0.0019 memory: 2686 2023/03/11 02:22:49 - mmengine - INFO - Epoch(val) [11][5840/6282] eta: 0:00:28 time: 0.0582 data_time: 0.0088 memory: 2608 2023/03/11 02:22:50 - mmengine - INFO - Epoch(val) [11][5860/6282] eta: 0:00:26 time: 0.0597 data_time: 0.0087 memory: 2608 2023/03/11 02:22:52 - mmengine - INFO - Epoch(val) [11][5880/6282] eta: 0:00:25 time: 0.0607 data_time: 0.0096 memory: 2608 2023/03/11 02:22:53 - mmengine - INFO - Epoch(val) [11][5900/6282] eta: 0:00:24 time: 0.0570 data_time: 0.0055 memory: 2608 2023/03/11 02:22:54 - mmengine - INFO - Epoch(val) [11][5920/6282] eta: 0:00:23 time: 0.0599 data_time: 0.0112 memory: 2608 2023/03/11 02:22:55 - mmengine - INFO - Epoch(val) [11][5940/6282] eta: 0:00:21 time: 0.0567 data_time: 0.0104 memory: 2396 2023/03/11 02:22:56 - mmengine - INFO - Epoch(val) [11][5960/6282] eta: 0:00:20 time: 0.0702 data_time: 0.0230 memory: 2396 2023/03/11 02:22:58 - mmengine - INFO - Epoch(val) [11][5980/6282] eta: 0:00:19 time: 0.0548 data_time: 0.0080 memory: 2396 2023/03/11 02:22:59 - mmengine - INFO - Epoch(val) [11][6000/6282] eta: 0:00:17 time: 0.0608 data_time: 0.0024 memory: 2934 2023/03/11 02:23:00 - mmengine - INFO - Epoch(val) [11][6020/6282] eta: 0:00:16 time: 0.0625 data_time: 0.0024 memory: 2934 2023/03/11 02:23:01 - mmengine - INFO - Epoch(val) [11][6040/6282] eta: 0:00:15 time: 0.0642 data_time: 0.0030 memory: 2934 2023/03/11 02:23:03 - mmengine - INFO - Epoch(val) [11][6060/6282] eta: 0:00:14 time: 0.0638 data_time: 0.0030 memory: 2934 2023/03/11 02:23:04 - mmengine - INFO - Epoch(val) [11][6080/6282] eta: 0:00:12 time: 0.0640 data_time: 0.0031 memory: 2934 2023/03/11 02:23:05 - mmengine - INFO - Epoch(val) [11][6100/6282] eta: 0:00:11 time: 0.0641 data_time: 0.0027 memory: 2934 2023/03/11 02:23:07 - mmengine - INFO - Epoch(val) [11][6120/6282] eta: 0:00:10 time: 0.0631 data_time: 0.0026 memory: 2934 2023/03/11 02:23:08 - mmengine - INFO - Epoch(val) [11][6140/6282] eta: 0:00:09 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/11 02:23:09 - mmengine - INFO - Epoch(val) [11][6160/6282] eta: 0:00:07 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/11 02:23:10 - mmengine - INFO - Epoch(val) [11][6180/6282] eta: 0:00:06 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/11 02:23:12 - mmengine - INFO - Epoch(val) [11][6200/6282] eta: 0:00:05 time: 0.0622 data_time: 0.0022 memory: 2934 2023/03/11 02:23:13 - mmengine - INFO - Epoch(val) [11][6220/6282] eta: 0:00:03 time: 0.0617 data_time: 0.0023 memory: 2934 2023/03/11 02:23:14 - mmengine - INFO - Epoch(val) [11][6240/6282] eta: 0:00:02 time: 0.0612 data_time: 0.0020 memory: 2934 2023/03/11 02:23:15 - mmengine - INFO - Epoch(val) [11][6260/6282] eta: 0:00:01 time: 0.0609 data_time: 0.0019 memory: 2934 2023/03/11 02:23:16 - mmengine - INFO - Epoch(val) [11][6280/6282] eta: 0:00:00 time: 0.0607 data_time: 0.0018 memory: 2934 2023/03/11 02:25:51 - mmengine - INFO - Epoch(val) [11][6282/6282] mAP/mAP@0.5IOU: 0.3353 2023/03/11 02:25:51 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_10.pth is removed 2023/03/11 02:25:55 - mmengine - INFO - The best checkpoint with 0.3353 mAP/mAP@0.5IOU at 11 epoch is saved to best_mAP/mAP@0.5IOU_epoch_11.pth. 2023/03/11 02:26:11 - mmengine - INFO - Epoch(train) [12][ 20/4451] lr: 1.9424e-06 eta: 7:28:47 time: 0.8003 data_time: 0.3830 memory: 51970 grad_norm: 0.1339 loss: 0.0314 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.6944 recall@top3: 0.7685 prec@top3: 0.5185 recall@top5: 0.8889 prec@top5: 0.3556 loss_action_cls: 0.0314 2023/03/11 02:26:22 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 02:26:22 - mmengine - INFO - Epoch(train) [12][ 40/4451] lr: 1.9411e-06 eta: 7:28:32 time: 0.5805 data_time: 0.1577 memory: 51970 grad_norm: 0.1279 loss: 0.0343 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6914 recall@top3: 0.8389 prec@top3: 0.5926 recall@top5: 0.9802 prec@top5: 0.4370 loss_action_cls: 0.0343 2023/03/11 02:26:36 - mmengine - INFO - Epoch(train) [12][ 60/4451] lr: 1.9397e-06 eta: 7:28:19 time: 0.7006 data_time: 0.2764 memory: 51970 grad_norm: 0.1290 loss: 0.0317 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9444 recall@top3: 0.9074 prec@top3: 0.7222 recall@top5: 0.9815 prec@top5: 0.4889 loss_action_cls: 0.0317 2023/03/11 02:26:47 - mmengine - INFO - Epoch(train) [12][ 80/4451] lr: 1.9384e-06 eta: 7:28:04 time: 0.5595 data_time: 0.1074 memory: 51970 grad_norm: 0.1340 loss: 0.0329 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8490 recall@top3: 0.8490 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4750 loss_action_cls: 0.0329 2023/03/11 02:27:00 - mmengine - INFO - Epoch(train) [12][ 100/4451] lr: 1.9371e-06 eta: 7:27:50 time: 0.6471 data_time: 0.1963 memory: 51970 grad_norm: 0.1335 loss: 0.0377 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.6333 recall@top3: 0.8778 prec@top3: 0.6333 recall@top5: 0.9472 prec@top5: 0.4267 loss_action_cls: 0.0377 2023/03/11 02:27:12 - mmengine - INFO - Epoch(train) [12][ 120/4451] lr: 1.9358e-06 eta: 7:27:35 time: 0.6040 data_time: 0.1758 memory: 51970 grad_norm: 0.1359 loss: 0.0295 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.9167 recall@top3: 0.9306 prec@top3: 0.5972 recall@top5: 0.9583 prec@top5: 0.3750 loss_action_cls: 0.0295 2023/03/11 02:27:26 - mmengine - INFO - Epoch(train) [12][ 140/4451] lr: 1.9344e-06 eta: 7:27:22 time: 0.6607 data_time: 0.2378 memory: 51970 grad_norm: 0.1346 loss: 0.0338 recall@thr=0.5: 0.6781 prec@thr=0.5: 0.8246 recall@top3: 0.7947 prec@top3: 0.7018 recall@top5: 0.9526 prec@top5: 0.5158 loss_action_cls: 0.0338 2023/03/11 02:27:38 - mmengine - INFO - Epoch(train) [12][ 160/4451] lr: 1.9331e-06 eta: 7:27:07 time: 0.6046 data_time: 0.1708 memory: 51970 grad_norm: 0.1352 loss: 0.0326 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.6942 recall@top3: 0.8375 prec@top3: 0.6833 recall@top5: 0.9708 prec@top5: 0.5100 loss_action_cls: 0.0326 2023/03/11 02:27:50 - mmengine - INFO - Epoch(train) [12][ 180/4451] lr: 1.9318e-06 eta: 7:26:53 time: 0.6337 data_time: 0.2009 memory: 51970 grad_norm: 0.1324 loss: 0.0319 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7045 recall@top3: 0.8333 prec@top3: 0.7273 recall@top5: 0.9848 prec@top5: 0.5273 loss_action_cls: 0.0319 2023/03/11 02:28:02 - mmengine - INFO - Epoch(train) [12][ 200/4451] lr: 1.9304e-06 eta: 7:26:38 time: 0.5640 data_time: 0.1373 memory: 51970 grad_norm: 0.1386 loss: 0.0362 recall@thr=0.5: 0.8646 prec@thr=0.5: 0.7521 recall@top3: 0.8472 prec@top3: 0.6806 recall@top5: 0.9167 prec@top5: 0.4583 loss_action_cls: 0.0362 2023/03/11 02:28:15 - mmengine - INFO - Epoch(train) [12][ 220/4451] lr: 1.9291e-06 eta: 7:26:24 time: 0.6571 data_time: 0.2318 memory: 51970 grad_norm: 0.1343 loss: 0.0317 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9074 recall@top3: 0.8935 prec@top3: 0.8148 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0317 2023/03/11 02:28:28 - mmengine - INFO - Epoch(train) [12][ 240/4451] lr: 1.9278e-06 eta: 7:26:11 time: 0.6808 data_time: 0.1197 memory: 51970 grad_norm: 0.1312 loss: 0.0376 recall@thr=0.5: 0.5625 prec@thr=0.5: 0.6625 recall@top3: 0.7958 prec@top3: 0.6833 recall@top5: 0.8917 prec@top5: 0.4700 loss_action_cls: 0.0376 2023/03/11 02:28:42 - mmengine - INFO - Epoch(train) [12][ 260/4451] lr: 1.9264e-06 eta: 7:25:58 time: 0.6958 data_time: 0.0474 memory: 51970 grad_norm: 0.1325 loss: 0.0288 recall@thr=0.5: 0.7308 prec@thr=0.5: 0.7051 recall@top3: 0.8205 prec@top3: 0.4872 recall@top5: 0.8846 prec@top5: 0.3231 loss_action_cls: 0.0288 2023/03/11 02:28:54 - mmengine - INFO - Epoch(train) [12][ 280/4451] lr: 1.9251e-06 eta: 7:25:43 time: 0.5858 data_time: 0.0113 memory: 51970 grad_norm: 0.1335 loss: 0.0305 recall@thr=0.5: 0.8267 prec@thr=0.5: 0.9200 recall@top3: 0.8933 prec@top3: 0.6800 recall@top5: 1.0000 prec@top5: 0.4720 loss_action_cls: 0.0305 2023/03/11 02:29:08 - mmengine - INFO - Epoch(train) [12][ 300/4451] lr: 1.9238e-06 eta: 7:25:30 time: 0.6965 data_time: 0.0127 memory: 51970 grad_norm: 0.1240 loss: 0.0297 recall@thr=0.5: 0.6425 prec@thr=0.5: 0.6828 recall@top3: 0.8656 prec@top3: 0.5806 recall@top5: 0.9597 prec@top5: 0.4000 loss_action_cls: 0.0297 2023/03/11 02:29:19 - mmengine - INFO - Epoch(train) [12][ 320/4451] lr: 1.9224e-06 eta: 7:25:15 time: 0.5547 data_time: 0.0119 memory: 51970 grad_norm: 0.1299 loss: 0.0306 recall@thr=0.5: 0.7108 prec@thr=0.5: 0.8529 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0306 2023/03/11 02:29:32 - mmengine - INFO - Epoch(train) [12][ 340/4451] lr: 1.9211e-06 eta: 7:25:01 time: 0.6432 data_time: 0.0129 memory: 51970 grad_norm: 0.1363 loss: 0.0371 recall@thr=0.5: 0.7540 prec@thr=0.5: 0.7778 recall@top3: 0.8968 prec@top3: 0.8095 recall@top5: 0.9683 prec@top5: 0.5333 loss_action_cls: 0.0371 2023/03/11 02:29:44 - mmengine - INFO - Epoch(train) [12][ 360/4451] lr: 1.9197e-06 eta: 7:24:46 time: 0.6087 data_time: 0.0139 memory: 51970 grad_norm: 0.1363 loss: 0.0331 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.6562 recall@top3: 0.8750 prec@top3: 0.4792 recall@top5: 0.9062 prec@top5: 0.3125 loss_action_cls: 0.0331 2023/03/11 02:29:58 - mmengine - INFO - Epoch(train) [12][ 380/4451] lr: 1.9184e-06 eta: 7:24:33 time: 0.6845 data_time: 0.0420 memory: 51970 grad_norm: 0.1298 loss: 0.0318 recall@thr=0.5: 0.5513 prec@thr=0.5: 0.5897 recall@top3: 0.8590 prec@top3: 0.5897 recall@top5: 0.9231 prec@top5: 0.4000 loss_action_cls: 0.0318 2023/03/11 02:30:09 - mmengine - INFO - Epoch(train) [12][ 400/4451] lr: 1.9171e-06 eta: 7:24:18 time: 0.5786 data_time: 0.0129 memory: 51970 grad_norm: 0.1366 loss: 0.0279 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8417 recall@top3: 0.8000 prec@top3: 0.6000 recall@top5: 0.9250 prec@top5: 0.4200 loss_action_cls: 0.0279 2023/03/11 02:30:22 - mmengine - INFO - Epoch(train) [12][ 420/4451] lr: 1.9157e-06 eta: 7:24:04 time: 0.6529 data_time: 0.0120 memory: 51970 grad_norm: 0.1385 loss: 0.0303 recall@thr=0.5: 0.5980 prec@thr=0.5: 0.6373 recall@top3: 0.7598 prec@top3: 0.7255 recall@top5: 0.9853 prec@top5: 0.5647 loss_action_cls: 0.0303 2023/03/11 02:30:34 - mmengine - INFO - Epoch(train) [12][ 440/4451] lr: 1.9144e-06 eta: 7:23:49 time: 0.5808 data_time: 0.0139 memory: 51970 grad_norm: 0.1384 loss: 0.0334 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.8667 recall@top3: 0.8611 prec@top3: 0.8444 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0334 2023/03/11 02:30:46 - mmengine - INFO - Epoch(train) [12][ 460/4451] lr: 1.9131e-06 eta: 7:23:35 time: 0.5941 data_time: 0.0125 memory: 51970 grad_norm: 0.1321 loss: 0.0309 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.9118 recall@top3: 0.8431 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.4000 loss_action_cls: 0.0309 2023/03/11 02:30:59 - mmengine - INFO - Epoch(train) [12][ 480/4451] lr: 1.9117e-06 eta: 7:23:21 time: 0.6457 data_time: 0.0158 memory: 51970 grad_norm: 0.1325 loss: 0.0303 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9833 recall@top3: 0.9500 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.3900 loss_action_cls: 0.0303 2023/03/11 02:31:12 - mmengine - INFO - Epoch(train) [12][ 500/4451] lr: 1.9104e-06 eta: 7:23:07 time: 0.6705 data_time: 0.0127 memory: 51970 grad_norm: 0.1334 loss: 0.0352 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7448 recall@top3: 0.8438 prec@top3: 0.4583 recall@top5: 0.9583 prec@top5: 0.3375 loss_action_cls: 0.0352 2023/03/11 02:31:23 - mmengine - INFO - Epoch(train) [12][ 520/4451] lr: 1.9090e-06 eta: 7:22:52 time: 0.5581 data_time: 0.0121 memory: 51970 grad_norm: 0.1380 loss: 0.0301 recall@thr=0.5: 0.6474 prec@thr=0.5: 0.8205 recall@top3: 0.8333 prec@top3: 0.7436 recall@top5: 0.9359 prec@top5: 0.5231 loss_action_cls: 0.0301 2023/03/11 02:31:37 - mmengine - INFO - Epoch(train) [12][ 540/4451] lr: 1.9077e-06 eta: 7:22:39 time: 0.6795 data_time: 0.0141 memory: 51970 grad_norm: 0.1340 loss: 0.0270 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8095 recall@top3: 0.8125 prec@top3: 0.7024 recall@top5: 0.9196 prec@top5: 0.4786 loss_action_cls: 0.0270 2023/03/11 02:31:49 - mmengine - INFO - Epoch(train) [12][ 560/4451] lr: 1.9064e-06 eta: 7:22:24 time: 0.5843 data_time: 0.0122 memory: 51970 grad_norm: 0.1313 loss: 0.0324 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8133 recall@top3: 0.9000 prec@top3: 0.7200 recall@top5: 0.9467 prec@top5: 0.4640 loss_action_cls: 0.0324 2023/03/11 02:32:00 - mmengine - INFO - Epoch(train) [12][ 580/4451] lr: 1.9050e-06 eta: 7:22:09 time: 0.5845 data_time: 0.0135 memory: 51970 grad_norm: 0.1302 loss: 0.0305 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.7708 recall@top3: 0.8333 prec@top3: 0.5139 recall@top5: 0.9514 prec@top5: 0.3583 loss_action_cls: 0.0305 2023/03/11 02:32:13 - mmengine - INFO - Epoch(train) [12][ 600/4451] lr: 1.9037e-06 eta: 7:21:55 time: 0.6332 data_time: 0.0126 memory: 51970 grad_norm: 0.1423 loss: 0.0300 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.7208 recall@top3: 0.9225 prec@top3: 0.7167 recall@top5: 0.9750 prec@top5: 0.4800 loss_action_cls: 0.0300 2023/03/11 02:32:26 - mmengine - INFO - Epoch(train) [12][ 620/4451] lr: 1.9023e-06 eta: 7:21:41 time: 0.6227 data_time: 0.0135 memory: 51970 grad_norm: 0.1318 loss: 0.0310 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.9167 recall@top3: 0.8438 prec@top3: 0.7083 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0310 2023/03/11 02:32:38 - mmengine - INFO - Epoch(train) [12][ 640/4451] lr: 1.9010e-06 eta: 7:21:26 time: 0.6054 data_time: 0.0118 memory: 51970 grad_norm: 0.1365 loss: 0.0307 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7667 recall@top3: 0.8083 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4600 loss_action_cls: 0.0307 2023/03/11 02:32:51 - mmengine - INFO - Epoch(train) [12][ 660/4451] lr: 1.8997e-06 eta: 7:21:13 time: 0.6707 data_time: 0.0155 memory: 51970 grad_norm: 0.1317 loss: 0.0320 recall@thr=0.5: 0.7049 prec@thr=0.5: 0.6632 recall@top3: 0.7674 prec@top3: 0.5833 recall@top5: 0.8646 prec@top5: 0.3917 loss_action_cls: 0.0320 2023/03/11 02:33:04 - mmengine - INFO - Epoch(train) [12][ 680/4451] lr: 1.8983e-06 eta: 7:20:59 time: 0.6306 data_time: 0.0120 memory: 51970 grad_norm: 0.1310 loss: 0.0340 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8824 recall@top3: 0.9118 prec@top3: 0.7255 recall@top5: 0.9314 prec@top5: 0.4471 loss_action_cls: 0.0340 2023/03/11 02:33:17 - mmengine - INFO - Epoch(train) [12][ 700/4451] lr: 1.8970e-06 eta: 7:20:45 time: 0.6571 data_time: 0.0165 memory: 51970 grad_norm: 0.1427 loss: 0.0297 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8571 recall@top3: 0.9286 prec@top3: 0.6190 recall@top5: 0.9881 prec@top5: 0.4095 loss_action_cls: 0.0297 2023/03/11 02:33:29 - mmengine - INFO - Epoch(train) [12][ 720/4451] lr: 1.8956e-06 eta: 7:20:31 time: 0.6265 data_time: 0.0121 memory: 51970 grad_norm: 0.1391 loss: 0.0390 recall@thr=0.5: 0.6840 prec@thr=0.5: 0.7917 recall@top3: 0.8403 prec@top3: 0.5694 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0390 2023/03/11 02:33:41 - mmengine - INFO - Epoch(train) [12][ 740/4451] lr: 1.8943e-06 eta: 7:20:16 time: 0.5569 data_time: 0.0125 memory: 51970 grad_norm: 0.1317 loss: 0.0305 recall@thr=0.5: 0.7792 prec@thr=0.5: 0.8833 recall@top3: 0.8708 prec@top3: 0.7667 recall@top5: 0.9708 prec@top5: 0.5200 loss_action_cls: 0.0305 2023/03/11 02:33:54 - mmengine - INFO - Epoch(train) [12][ 760/4451] lr: 1.8930e-06 eta: 7:20:02 time: 0.6580 data_time: 0.0162 memory: 51970 grad_norm: 0.1311 loss: 0.0317 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8016 recall@top3: 0.8810 prec@top3: 0.6349 recall@top5: 0.9206 prec@top5: 0.4095 loss_action_cls: 0.0317 2023/03/11 02:34:07 - mmengine - INFO - Epoch(train) [12][ 780/4451] lr: 1.8916e-06 eta: 7:19:48 time: 0.6425 data_time: 0.0122 memory: 51970 grad_norm: 0.1304 loss: 0.0327 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8137 recall@top3: 0.9118 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.4706 loss_action_cls: 0.0327 2023/03/11 02:34:19 - mmengine - INFO - Epoch(train) [12][ 800/4451] lr: 1.8903e-06 eta: 7:19:34 time: 0.6168 data_time: 0.0131 memory: 51970 grad_norm: 0.1303 loss: 0.0332 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7692 recall@top3: 0.9487 prec@top3: 0.5128 recall@top5: 0.9744 prec@top5: 0.3231 loss_action_cls: 0.0332 2023/03/11 02:34:31 - mmengine - INFO - Epoch(train) [12][ 820/4451] lr: 1.8889e-06 eta: 7:19:20 time: 0.6285 data_time: 0.0128 memory: 51970 grad_norm: 0.1322 loss: 0.0352 recall@thr=0.5: 0.6378 prec@thr=0.5: 0.7833 recall@top3: 0.8367 prec@top3: 0.8000 recall@top5: 0.9750 prec@top5: 0.5867 loss_action_cls: 0.0352 2023/03/11 02:34:44 - mmengine - INFO - Epoch(train) [12][ 840/4451] lr: 1.8876e-06 eta: 7:19:06 time: 0.6351 data_time: 0.0169 memory: 51970 grad_norm: 0.1315 loss: 0.0333 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7396 recall@top3: 0.8403 prec@top3: 0.6250 recall@top5: 0.9618 prec@top5: 0.4583 loss_action_cls: 0.0333 2023/03/11 02:34:57 - mmengine - INFO - Epoch(train) [12][ 860/4451] lr: 1.8862e-06 eta: 7:18:52 time: 0.6516 data_time: 0.0118 memory: 51970 grad_norm: 0.1342 loss: 0.0339 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7895 recall@top3: 0.8509 prec@top3: 0.5789 recall@top5: 0.9211 prec@top5: 0.3895 loss_action_cls: 0.0339 2023/03/11 02:35:09 - mmengine - INFO - Epoch(train) [12][ 880/4451] lr: 1.8849e-06 eta: 7:18:38 time: 0.6100 data_time: 0.0129 memory: 51970 grad_norm: 0.1239 loss: 0.0323 recall@thr=0.5: 0.6500 prec@thr=0.5: 0.6583 recall@top3: 0.9375 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3700 loss_action_cls: 0.0323 2023/03/11 02:35:22 - mmengine - INFO - Epoch(train) [12][ 900/4451] lr: 1.8835e-06 eta: 7:18:23 time: 0.6262 data_time: 0.0127 memory: 51970 grad_norm: 0.1371 loss: 0.0314 recall@thr=0.5: 0.6508 prec@thr=0.5: 0.8333 recall@top3: 0.7738 prec@top3: 0.6508 recall@top5: 0.9127 prec@top5: 0.4762 loss_action_cls: 0.0314 2023/03/11 02:35:35 - mmengine - INFO - Epoch(train) [12][ 920/4451] lr: 1.8822e-06 eta: 7:18:09 time: 0.6416 data_time: 0.0131 memory: 51970 grad_norm: 0.1369 loss: 0.0299 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.9687 recall@top3: 0.9271 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0299 2023/03/11 02:35:47 - mmengine - INFO - Epoch(train) [12][ 940/4451] lr: 1.8808e-06 eta: 7:17:55 time: 0.5979 data_time: 0.0412 memory: 51970 grad_norm: 0.1308 loss: 0.0316 recall@thr=0.5: 0.6914 prec@thr=0.5: 0.6420 recall@top3: 0.8302 prec@top3: 0.6914 recall@top5: 0.9444 prec@top5: 0.4889 loss_action_cls: 0.0316 2023/03/11 02:36:01 - mmengine - INFO - Epoch(train) [12][ 960/4451] lr: 1.8795e-06 eta: 7:17:42 time: 0.7071 data_time: 0.0251 memory: 51970 grad_norm: 0.1416 loss: 0.0324 recall@thr=0.5: 0.7694 prec@thr=0.5: 0.8333 recall@top3: 0.7722 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.5167 loss_action_cls: 0.0324 2023/03/11 02:36:12 - mmengine - INFO - Epoch(train) [12][ 980/4451] lr: 1.8781e-06 eta: 7:17:27 time: 0.5712 data_time: 0.1046 memory: 51970 grad_norm: 0.1366 loss: 0.0321 recall@thr=0.5: 0.8297 prec@thr=0.5: 0.7826 recall@top3: 0.8732 prec@top3: 0.6667 recall@top5: 0.9891 prec@top5: 0.4609 loss_action_cls: 0.0321 2023/03/11 02:36:25 - mmengine - INFO - Epoch(train) [12][1000/4451] lr: 1.8768e-06 eta: 7:17:13 time: 0.6117 data_time: 0.0578 memory: 51970 grad_norm: 0.1394 loss: 0.0335 recall@thr=0.5: 0.7875 prec@thr=0.5: 0.8437 recall@top3: 0.7625 prec@top3: 0.7500 recall@top5: 0.9563 prec@top5: 0.6125 loss_action_cls: 0.0335 2023/03/11 02:36:36 - mmengine - INFO - Epoch(train) [12][1020/4451] lr: 1.8755e-06 eta: 7:16:57 time: 0.5620 data_time: 0.0137 memory: 51970 grad_norm: 0.1383 loss: 0.0335 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.9744 recall@top3: 0.9551 prec@top3: 0.7949 recall@top5: 0.9744 prec@top5: 0.4923 loss_action_cls: 0.0335 2023/03/11 02:36:49 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 02:36:49 - mmengine - INFO - Epoch(train) [12][1040/4451] lr: 1.8741e-06 eta: 7:16:44 time: 0.6732 data_time: 0.0877 memory: 51970 grad_norm: 0.1328 loss: 0.0345 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7745 recall@top3: 0.8725 prec@top3: 0.5686 recall@top5: 0.9510 prec@top5: 0.3882 loss_action_cls: 0.0345 2023/03/11 02:37:04 - mmengine - INFO - Epoch(train) [12][1060/4451] lr: 1.8728e-06 eta: 7:16:32 time: 0.7396 data_time: 0.2145 memory: 51970 grad_norm: 0.1374 loss: 0.0331 recall@thr=0.5: 0.6127 prec@thr=0.5: 0.7745 recall@top3: 0.8382 prec@top3: 0.7255 recall@top5: 0.9804 prec@top5: 0.5176 loss_action_cls: 0.0331 2023/03/11 02:37:17 - mmengine - INFO - Epoch(train) [12][1080/4451] lr: 1.8714e-06 eta: 7:16:17 time: 0.6227 data_time: 0.1683 memory: 51970 grad_norm: 0.1365 loss: 0.0317 recall@thr=0.5: 0.7035 prec@thr=0.5: 0.6974 recall@top3: 0.8088 prec@top3: 0.5263 recall@top5: 0.9737 prec@top5: 0.4000 loss_action_cls: 0.0317 2023/03/11 02:37:31 - mmengine - INFO - Epoch(train) [12][1100/4451] lr: 1.8701e-06 eta: 7:16:05 time: 0.7240 data_time: 0.2594 memory: 51970 grad_norm: 0.1308 loss: 0.0322 recall@thr=0.5: 0.8860 prec@thr=0.5: 0.9035 recall@top3: 0.9474 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0322 2023/03/11 02:37:45 - mmengine - INFO - Epoch(train) [12][1120/4451] lr: 1.8687e-06 eta: 7:15:52 time: 0.6806 data_time: 0.2118 memory: 51970 grad_norm: 0.1460 loss: 0.0315 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.8039 recall@top3: 0.7917 prec@top3: 0.7353 recall@top5: 0.8971 prec@top5: 0.5059 loss_action_cls: 0.0315 2023/03/11 02:37:57 - mmengine - INFO - Epoch(train) [12][1140/4451] lr: 1.8674e-06 eta: 7:15:37 time: 0.6292 data_time: 0.2024 memory: 51970 grad_norm: 0.1326 loss: 0.0295 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8073 recall@top3: 0.9531 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.4250 loss_action_cls: 0.0295 2023/03/11 02:38:11 - mmengine - INFO - Epoch(train) [12][1160/4451] lr: 1.8660e-06 eta: 7:15:24 time: 0.6748 data_time: 0.1505 memory: 51970 grad_norm: 0.1338 loss: 0.0320 recall@thr=0.5: 0.7278 prec@thr=0.5: 0.7322 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4933 loss_action_cls: 0.0320 2023/03/11 02:38:23 - mmengine - INFO - Epoch(train) [12][1180/4451] lr: 1.8647e-06 eta: 7:15:10 time: 0.6190 data_time: 0.0555 memory: 51970 grad_norm: 0.1317 loss: 0.0324 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8667 recall@top3: 0.8583 prec@top3: 0.6000 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0324 2023/03/11 02:38:35 - mmengine - INFO - Epoch(train) [12][1200/4451] lr: 1.8633e-06 eta: 7:14:56 time: 0.6112 data_time: 0.1407 memory: 51970 grad_norm: 0.1403 loss: 0.0348 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9118 recall@top3: 0.9853 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4118 loss_action_cls: 0.0348 2023/03/11 02:38:48 - mmengine - INFO - Epoch(train) [12][1220/4451] lr: 1.8620e-06 eta: 7:14:41 time: 0.6157 data_time: 0.0461 memory: 51970 grad_norm: 0.1348 loss: 0.0316 recall@thr=0.5: 0.8844 prec@thr=0.5: 0.8511 recall@top3: 0.9011 prec@top3: 0.7742 recall@top5: 0.9935 prec@top5: 0.5290 loss_action_cls: 0.0316 2023/03/11 02:39:01 - mmengine - INFO - Epoch(train) [12][1240/4451] lr: 1.8606e-06 eta: 7:14:28 time: 0.6747 data_time: 0.0127 memory: 51970 grad_norm: 0.1283 loss: 0.0340 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7593 recall@top3: 0.8704 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.4333 loss_action_cls: 0.0340 2023/03/11 02:39:13 - mmengine - INFO - Epoch(train) [12][1260/4451] lr: 1.8593e-06 eta: 7:14:13 time: 0.5923 data_time: 0.0124 memory: 51970 grad_norm: 0.1381 loss: 0.0330 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7843 recall@top3: 0.9118 prec@top3: 0.6863 recall@top5: 0.9314 prec@top5: 0.4235 loss_action_cls: 0.0330 2023/03/11 02:39:24 - mmengine - INFO - Epoch(train) [12][1280/4451] lr: 1.8579e-06 eta: 7:13:58 time: 0.5305 data_time: 0.0127 memory: 51970 grad_norm: 0.1360 loss: 0.0307 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7803 recall@top3: 0.7500 prec@top3: 0.5758 recall@top5: 0.8182 prec@top5: 0.3909 loss_action_cls: 0.0307 2023/03/11 02:39:38 - mmengine - INFO - Epoch(train) [12][1300/4451] lr: 1.8565e-06 eta: 7:13:44 time: 0.6951 data_time: 0.0128 memory: 51970 grad_norm: 0.1382 loss: 0.0300 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8730 recall@top3: 0.9048 prec@top3: 0.6667 recall@top5: 0.9048 prec@top5: 0.4000 loss_action_cls: 0.0300 2023/03/11 02:39:50 - mmengine - INFO - Epoch(train) [12][1320/4451] lr: 1.8552e-06 eta: 7:13:30 time: 0.6061 data_time: 0.0124 memory: 51970 grad_norm: 0.1334 loss: 0.0320 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8424 recall@top3: 0.8750 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5333 loss_action_cls: 0.0320 2023/03/11 02:40:02 - mmengine - INFO - Epoch(train) [12][1340/4451] lr: 1.8538e-06 eta: 7:13:16 time: 0.6170 data_time: 0.0136 memory: 51970 grad_norm: 0.1282 loss: 0.0329 recall@thr=0.5: 0.6194 prec@thr=0.5: 0.7167 recall@top3: 0.7583 prec@top3: 0.6111 recall@top5: 0.8750 prec@top5: 0.4067 loss_action_cls: 0.0329 2023/03/11 02:40:16 - mmengine - INFO - Epoch(train) [12][1360/4451] lr: 1.8525e-06 eta: 7:13:03 time: 0.6832 data_time: 0.0117 memory: 51970 grad_norm: 0.1338 loss: 0.0326 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.8667 recall@top3: 0.9250 prec@top3: 0.8333 recall@top5: 0.9833 prec@top5: 0.5400 loss_action_cls: 0.0326 2023/03/11 02:40:27 - mmengine - INFO - Epoch(train) [12][1380/4451] lr: 1.8511e-06 eta: 7:12:47 time: 0.5617 data_time: 0.0127 memory: 51970 grad_norm: 0.1352 loss: 0.0311 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8030 recall@top3: 0.8788 prec@top3: 0.6667 recall@top5: 0.8788 prec@top5: 0.4000 loss_action_cls: 0.0311 2023/03/11 02:40:41 - mmengine - INFO - Epoch(train) [12][1400/4451] lr: 1.8498e-06 eta: 7:12:34 time: 0.6937 data_time: 0.0124 memory: 51970 grad_norm: 0.1428 loss: 0.0317 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6667 recall@top3: 0.7143 prec@top3: 0.4921 recall@top5: 0.7937 prec@top5: 0.3429 loss_action_cls: 0.0317 2023/03/11 02:40:53 - mmengine - INFO - Epoch(train) [12][1420/4451] lr: 1.8484e-06 eta: 7:12:20 time: 0.6008 data_time: 0.0135 memory: 51970 grad_norm: 0.1358 loss: 0.0324 recall@thr=0.5: 0.6790 prec@thr=0.5: 0.7160 recall@top3: 0.7531 prec@top3: 0.5926 recall@top5: 0.8981 prec@top5: 0.4370 loss_action_cls: 0.0324 2023/03/11 02:41:06 - mmengine - INFO - Epoch(train) [12][1440/4451] lr: 1.8471e-06 eta: 7:12:06 time: 0.6406 data_time: 0.0119 memory: 51970 grad_norm: 0.1341 loss: 0.0334 recall@thr=0.5: 0.8846 prec@thr=0.5: 0.8077 recall@top3: 0.8846 prec@top3: 0.3846 recall@top5: 0.9231 prec@top5: 0.2462 loss_action_cls: 0.0334 2023/03/11 02:41:18 - mmengine - INFO - Epoch(train) [12][1460/4451] lr: 1.8457e-06 eta: 7:11:52 time: 0.6059 data_time: 0.0129 memory: 51970 grad_norm: 0.1309 loss: 0.0318 recall@thr=0.5: 0.6605 prec@thr=0.5: 0.6975 recall@top3: 0.8951 prec@top3: 0.5432 recall@top5: 0.9630 prec@top5: 0.3556 loss_action_cls: 0.0318 2023/03/11 02:41:30 - mmengine - INFO - Epoch(train) [12][1480/4451] lr: 1.8444e-06 eta: 7:11:37 time: 0.6167 data_time: 0.0126 memory: 51970 grad_norm: 0.1325 loss: 0.0331 recall@thr=0.5: 0.5905 prec@thr=0.5: 0.8254 recall@top3: 0.8460 prec@top3: 0.7143 recall@top5: 0.9810 prec@top5: 0.5238 loss_action_cls: 0.0331 2023/03/11 02:41:43 - mmengine - INFO - Epoch(train) [12][1500/4451] lr: 1.8430e-06 eta: 7:11:24 time: 0.6556 data_time: 0.0138 memory: 51970 grad_norm: 0.1315 loss: 0.0282 recall@thr=0.5: 0.7806 prec@thr=0.5: 0.7333 recall@top3: 0.8561 prec@top3: 0.6778 recall@top5: 0.9544 prec@top5: 0.4600 loss_action_cls: 0.0282 2023/03/11 02:41:56 - mmengine - INFO - Epoch(train) [12][1520/4451] lr: 1.8416e-06 eta: 7:11:09 time: 0.6195 data_time: 0.0119 memory: 51970 grad_norm: 0.1390 loss: 0.0332 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.7111 recall@top3: 0.8778 prec@top3: 0.5111 recall@top5: 0.9556 prec@top5: 0.3600 loss_action_cls: 0.0332 2023/03/11 02:42:08 - mmengine - INFO - Epoch(train) [12][1540/4451] lr: 1.8403e-06 eta: 7:10:55 time: 0.6337 data_time: 0.0134 memory: 51970 grad_norm: 0.1322 loss: 0.0336 recall@thr=0.5: 0.6495 prec@thr=0.5: 0.7348 recall@top3: 0.8364 prec@top3: 0.7576 recall@top5: 0.9141 prec@top5: 0.5091 loss_action_cls: 0.0336 2023/03/11 02:42:20 - mmengine - INFO - Epoch(train) [12][1560/4451] lr: 1.8389e-06 eta: 7:10:40 time: 0.5690 data_time: 0.0125 memory: 51970 grad_norm: 0.1294 loss: 0.0309 recall@thr=0.5: 0.8873 prec@thr=0.5: 0.9461 recall@top3: 0.9853 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0309 2023/03/11 02:42:31 - mmengine - INFO - Epoch(train) [12][1580/4451] lr: 1.8376e-06 eta: 7:10:26 time: 0.5854 data_time: 0.0132 memory: 51970 grad_norm: 0.1327 loss: 0.0343 recall@thr=0.5: 0.6505 prec@thr=0.5: 0.6389 recall@top3: 0.8380 prec@top3: 0.6481 recall@top5: 0.9722 prec@top5: 0.4667 loss_action_cls: 0.0343 2023/03/11 02:42:44 - mmengine - INFO - Epoch(train) [12][1600/4451] lr: 1.8362e-06 eta: 7:10:12 time: 0.6485 data_time: 0.0636 memory: 51970 grad_norm: 0.1351 loss: 0.0287 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7944 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.9753 prec@top5: 0.4889 loss_action_cls: 0.0287 2023/03/11 02:42:57 - mmengine - INFO - Epoch(train) [12][1620/4451] lr: 1.8349e-06 eta: 7:09:58 time: 0.6265 data_time: 0.1338 memory: 51970 grad_norm: 0.1300 loss: 0.0337 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7150 recall@top3: 0.7833 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4700 loss_action_cls: 0.0337 2023/03/11 02:43:10 - mmengine - INFO - Epoch(train) [12][1640/4451] lr: 1.8335e-06 eta: 7:09:44 time: 0.6577 data_time: 0.0384 memory: 51970 grad_norm: 0.1410 loss: 0.0333 recall@thr=0.5: 0.6368 prec@thr=0.5: 0.6623 recall@top3: 0.8737 prec@top3: 0.6842 recall@top5: 0.9237 prec@top5: 0.4526 loss_action_cls: 0.0333 2023/03/11 02:43:24 - mmengine - INFO - Epoch(train) [12][1660/4451] lr: 1.8321e-06 eta: 7:09:31 time: 0.6897 data_time: 0.1568 memory: 51970 grad_norm: 0.1252 loss: 0.0347 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.7685 recall@top3: 0.8056 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.4556 loss_action_cls: 0.0347 2023/03/11 02:43:36 - mmengine - INFO - Epoch(train) [12][1680/4451] lr: 1.8308e-06 eta: 7:09:17 time: 0.6191 data_time: 0.0829 memory: 51970 grad_norm: 0.1333 loss: 0.0340 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.5635 recall@top3: 0.8651 prec@top3: 0.6349 recall@top5: 0.9127 prec@top5: 0.4095 loss_action_cls: 0.0340 2023/03/11 02:43:49 - mmengine - INFO - Epoch(train) [12][1700/4451] lr: 1.8294e-06 eta: 7:09:03 time: 0.6391 data_time: 0.0794 memory: 51970 grad_norm: 0.1342 loss: 0.0345 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7963 recall@top3: 0.7840 prec@top3: 0.6173 recall@top5: 0.8148 prec@top5: 0.3926 loss_action_cls: 0.0345 2023/03/11 02:44:02 - mmengine - INFO - Epoch(train) [12][1720/4451] lr: 1.8281e-06 eta: 7:08:49 time: 0.6708 data_time: 0.0134 memory: 51970 grad_norm: 0.1341 loss: 0.0300 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8036 recall@top3: 0.8929 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0300 2023/03/11 02:44:14 - mmengine - INFO - Epoch(train) [12][1740/4451] lr: 1.8267e-06 eta: 7:08:35 time: 0.5759 data_time: 0.0120 memory: 51970 grad_norm: 0.1357 loss: 0.0324 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.9491 recall@top3: 0.8796 prec@top3: 0.7778 recall@top5: 0.9167 prec@top5: 0.4889 loss_action_cls: 0.0324 2023/03/11 02:44:27 - mmengine - INFO - Epoch(train) [12][1760/4451] lr: 1.8253e-06 eta: 7:08:21 time: 0.6354 data_time: 0.0316 memory: 51970 grad_norm: 0.1359 loss: 0.0348 recall@thr=0.5: 0.5400 prec@thr=0.5: 0.6333 recall@top3: 0.7933 prec@top3: 0.6267 recall@top5: 0.9000 prec@top5: 0.4320 loss_action_cls: 0.0348 2023/03/11 02:44:42 - mmengine - INFO - Epoch(train) [12][1780/4451] lr: 1.8240e-06 eta: 7:08:09 time: 0.7564 data_time: 0.0551 memory: 51970 grad_norm: 0.1376 loss: 0.0300 recall@thr=0.5: 0.8406 prec@thr=0.5: 0.8841 recall@top3: 0.9203 prec@top3: 0.6667 recall@top5: 0.9638 prec@top5: 0.4261 loss_action_cls: 0.0300 2023/03/11 02:44:54 - mmengine - INFO - Epoch(train) [12][1800/4451] lr: 1.8226e-06 eta: 7:07:54 time: 0.5898 data_time: 0.0123 memory: 51970 grad_norm: 0.1365 loss: 0.0337 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7143 recall@top3: 0.8036 prec@top3: 0.5714 recall@top5: 0.9107 prec@top5: 0.3857 loss_action_cls: 0.0337 2023/03/11 02:45:07 - mmengine - INFO - Epoch(train) [12][1820/4451] lr: 1.8213e-06 eta: 7:07:41 time: 0.6829 data_time: 0.0130 memory: 51970 grad_norm: 0.1322 loss: 0.0338 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.7738 recall@top3: 0.8651 prec@top3: 0.6825 recall@top5: 0.9365 prec@top5: 0.4286 loss_action_cls: 0.0338 2023/03/11 02:45:19 - mmengine - INFO - Epoch(train) [12][1840/4451] lr: 1.8199e-06 eta: 7:07:26 time: 0.6046 data_time: 0.0131 memory: 51970 grad_norm: 0.1272 loss: 0.0321 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8611 recall@top3: 0.8333 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0321 2023/03/11 02:45:32 - mmengine - INFO - Epoch(train) [12][1860/4451] lr: 1.8185e-06 eta: 7:07:12 time: 0.6244 data_time: 0.0127 memory: 51970 grad_norm: 0.1259 loss: 0.0314 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.9412 recall@top3: 0.9216 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.3882 loss_action_cls: 0.0314 2023/03/11 02:45:44 - mmengine - INFO - Epoch(train) [12][1880/4451] lr: 1.8172e-06 eta: 7:06:58 time: 0.6172 data_time: 0.0132 memory: 51970 grad_norm: 0.1295 loss: 0.0326 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7210 recall@top3: 0.8406 prec@top3: 0.6812 recall@top5: 0.9384 prec@top5: 0.4783 loss_action_cls: 0.0326 2023/03/11 02:45:58 - mmengine - INFO - Epoch(train) [12][1900/4451] lr: 1.8158e-06 eta: 7:06:45 time: 0.6834 data_time: 0.0126 memory: 51970 grad_norm: 0.1385 loss: 0.0326 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.7143 recall@top3: 0.8651 prec@top3: 0.7302 recall@top5: 0.9444 prec@top5: 0.4857 loss_action_cls: 0.0326 2023/03/11 02:46:10 - mmengine - INFO - Epoch(train) [12][1920/4451] lr: 1.8145e-06 eta: 7:06:30 time: 0.5845 data_time: 0.0131 memory: 51970 grad_norm: 0.1321 loss: 0.0303 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7963 recall@top3: 0.9630 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0303 2023/03/11 02:46:25 - mmengine - INFO - Epoch(train) [12][1940/4451] lr: 1.8131e-06 eta: 7:06:18 time: 0.7584 data_time: 0.0117 memory: 51970 grad_norm: 0.1267 loss: 0.0348 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.8590 recall@top3: 0.8782 prec@top3: 0.6154 recall@top5: 0.9487 prec@top5: 0.4000 loss_action_cls: 0.0348 2023/03/11 02:46:36 - mmengine - INFO - Epoch(train) [12][1960/4451] lr: 1.8117e-06 eta: 7:06:02 time: 0.5386 data_time: 0.0135 memory: 51970 grad_norm: 0.1407 loss: 0.0330 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6222 recall@top3: 0.8389 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.4000 loss_action_cls: 0.0330 2023/03/11 02:46:49 - mmengine - INFO - Epoch(train) [12][1980/4451] lr: 1.8104e-06 eta: 7:05:49 time: 0.6910 data_time: 0.0553 memory: 51970 grad_norm: 0.1298 loss: 0.0297 recall@thr=0.5: 0.8465 prec@thr=0.5: 0.9649 recall@top3: 0.9430 prec@top3: 0.8421 recall@top5: 0.9868 prec@top5: 0.5368 loss_action_cls: 0.0297 2023/03/11 02:47:02 - mmengine - INFO - Epoch(train) [12][2000/4451] lr: 1.8090e-06 eta: 7:05:36 time: 0.6502 data_time: 0.0378 memory: 51970 grad_norm: 0.1323 loss: 0.0279 recall@thr=0.5: 0.6971 prec@thr=0.5: 0.7391 recall@top3: 0.7710 prec@top3: 0.5217 recall@top5: 0.8536 prec@top5: 0.3739 loss_action_cls: 0.0279 2023/03/11 02:47:15 - mmengine - INFO - Epoch(train) [12][2020/4451] lr: 1.8076e-06 eta: 7:05:22 time: 0.6474 data_time: 0.0124 memory: 51970 grad_norm: 0.1322 loss: 0.0340 recall@thr=0.5: 0.8119 prec@thr=0.5: 0.8571 recall@top3: 0.8421 prec@top3: 0.6984 recall@top5: 0.9246 prec@top5: 0.4857 loss_action_cls: 0.0340 2023/03/11 02:47:27 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 02:47:27 - mmengine - INFO - Epoch(train) [12][2040/4451] lr: 1.8063e-06 eta: 7:05:07 time: 0.5922 data_time: 0.0140 memory: 51970 grad_norm: 0.1365 loss: 0.0323 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7000 recall@top3: 0.8056 prec@top3: 0.6111 recall@top5: 0.8889 prec@top5: 0.4111 loss_action_cls: 0.0323 2023/03/11 02:47:40 - mmengine - INFO - Epoch(train) [12][2060/4451] lr: 1.8049e-06 eta: 7:04:54 time: 0.6544 data_time: 0.0117 memory: 51970 grad_norm: 0.1352 loss: 0.0316 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.8188 recall@top3: 0.8841 prec@top3: 0.7826 recall@top5: 1.0000 prec@top5: 0.5304 loss_action_cls: 0.0316 2023/03/11 02:47:52 - mmengine - INFO - Epoch(train) [12][2080/4451] lr: 1.8035e-06 eta: 7:04:39 time: 0.5738 data_time: 0.0124 memory: 51970 grad_norm: 0.1370 loss: 0.0321 recall@thr=0.5: 0.5477 prec@thr=0.5: 0.6629 recall@top3: 0.7992 prec@top3: 0.7273 recall@top5: 0.9136 prec@top5: 0.5273 loss_action_cls: 0.0321 2023/03/11 02:48:06 - mmengine - INFO - Epoch(train) [12][2100/4451] lr: 1.8022e-06 eta: 7:04:26 time: 0.7133 data_time: 0.0124 memory: 51970 grad_norm: 0.1362 loss: 0.0284 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.7018 recall@top3: 0.8860 prec@top3: 0.6667 recall@top5: 0.9737 prec@top5: 0.4526 loss_action_cls: 0.0284 2023/03/11 02:48:18 - mmengine - INFO - Epoch(train) [12][2120/4451] lr: 1.8008e-06 eta: 7:04:11 time: 0.5933 data_time: 0.0126 memory: 51970 grad_norm: 0.1368 loss: 0.0324 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.7905 recall@top3: 0.8254 prec@top3: 0.7143 recall@top5: 0.9722 prec@top5: 0.5143 loss_action_cls: 0.0324 2023/03/11 02:48:29 - mmengine - INFO - Epoch(train) [12][2140/4451] lr: 1.7995e-06 eta: 7:03:56 time: 0.5750 data_time: 0.0122 memory: 51970 grad_norm: 0.1308 loss: 0.0311 recall@thr=0.5: 0.8912 prec@thr=0.5: 0.9342 recall@top3: 0.8439 prec@top3: 0.8246 recall@top5: 0.9693 prec@top5: 0.6000 loss_action_cls: 0.0311 2023/03/11 02:48:42 - mmengine - INFO - Epoch(train) [12][2160/4451] lr: 1.7981e-06 eta: 7:03:43 time: 0.6458 data_time: 0.0132 memory: 51970 grad_norm: 0.1336 loss: 0.0296 recall@thr=0.5: 0.8935 prec@thr=0.5: 0.9537 recall@top3: 0.8704 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0296 2023/03/11 02:48:54 - mmengine - INFO - Epoch(train) [12][2180/4451] lr: 1.7967e-06 eta: 7:03:28 time: 0.5961 data_time: 0.0121 memory: 51970 grad_norm: 0.1351 loss: 0.0277 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.8167 recall@top3: 0.8000 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4700 loss_action_cls: 0.0277 2023/03/11 02:49:08 - mmengine - INFO - Epoch(train) [12][2200/4451] lr: 1.7954e-06 eta: 7:03:15 time: 0.7034 data_time: 0.0130 memory: 51970 grad_norm: 0.1317 loss: 0.0313 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.7319 recall@top3: 0.9058 prec@top3: 0.6232 recall@top5: 0.9783 prec@top5: 0.4000 loss_action_cls: 0.0313 2023/03/11 02:49:22 - mmengine - INFO - Epoch(train) [12][2220/4451] lr: 1.7940e-06 eta: 7:03:02 time: 0.6961 data_time: 0.0121 memory: 51970 grad_norm: 0.1343 loss: 0.0316 recall@thr=0.5: 0.7190 prec@thr=0.5: 0.9365 recall@top3: 0.9571 prec@top3: 0.7302 recall@top5: 0.9905 prec@top5: 0.4571 loss_action_cls: 0.0316 2023/03/11 02:49:35 - mmengine - INFO - Epoch(train) [12][2240/4451] lr: 1.7926e-06 eta: 7:02:48 time: 0.6341 data_time: 0.0126 memory: 51970 grad_norm: 0.1371 loss: 0.0336 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8033 recall@top3: 0.8847 prec@top3: 0.8400 recall@top5: 0.9600 prec@top5: 0.5680 loss_action_cls: 0.0336 2023/03/11 02:49:48 - mmengine - INFO - Epoch(train) [12][2260/4451] lr: 1.7913e-06 eta: 7:02:34 time: 0.6342 data_time: 0.0126 memory: 51970 grad_norm: 0.1375 loss: 0.0311 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.7460 recall@top3: 0.8810 prec@top3: 0.6984 recall@top5: 0.9762 prec@top5: 0.4762 loss_action_cls: 0.0311 2023/03/11 02:50:01 - mmengine - INFO - Epoch(train) [12][2280/4451] lr: 1.7899e-06 eta: 7:02:21 time: 0.6490 data_time: 0.0127 memory: 51970 grad_norm: 0.1398 loss: 0.0322 recall@thr=0.5: 0.6889 prec@thr=0.5: 0.8000 recall@top3: 0.7556 prec@top3: 0.4444 recall@top5: 0.9333 prec@top5: 0.3333 loss_action_cls: 0.0322 2023/03/11 02:50:15 - mmengine - INFO - Epoch(train) [12][2300/4451] lr: 1.7885e-06 eta: 7:02:08 time: 0.7070 data_time: 0.0117 memory: 51970 grad_norm: 0.1299 loss: 0.0346 recall@thr=0.5: 0.9267 prec@thr=0.5: 0.9333 recall@top3: 0.9600 prec@top3: 0.8400 recall@top5: 1.0000 prec@top5: 0.5360 loss_action_cls: 0.0346 2023/03/11 02:50:28 - mmengine - INFO - Epoch(train) [12][2320/4451] lr: 1.7871e-06 eta: 7:01:54 time: 0.6490 data_time: 0.0145 memory: 51970 grad_norm: 0.1343 loss: 0.0321 recall@thr=0.5: 0.6324 prec@thr=0.5: 0.7745 recall@top3: 0.7549 prec@top3: 0.5686 recall@top5: 0.9461 prec@top5: 0.4353 loss_action_cls: 0.0321 2023/03/11 02:50:42 - mmengine - INFO - Epoch(train) [12][2340/4451] lr: 1.7858e-06 eta: 7:01:41 time: 0.7076 data_time: 0.0130 memory: 51970 grad_norm: 0.1361 loss: 0.0320 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8235 recall@top3: 0.7941 prec@top3: 0.5098 recall@top5: 0.8824 prec@top5: 0.3412 loss_action_cls: 0.0320 2023/03/11 02:50:56 - mmengine - INFO - Epoch(train) [12][2360/4451] lr: 1.7844e-06 eta: 7:01:28 time: 0.7033 data_time: 0.0124 memory: 51970 grad_norm: 0.1346 loss: 0.0316 recall@thr=0.5: 0.9118 prec@thr=0.5: 0.8627 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0316 2023/03/11 02:51:09 - mmengine - INFO - Epoch(train) [12][2380/4451] lr: 1.7830e-06 eta: 7:01:14 time: 0.6456 data_time: 0.0129 memory: 51970 grad_norm: 0.1312 loss: 0.0305 recall@thr=0.5: 0.7550 prec@thr=0.5: 0.7800 recall@top3: 0.8350 prec@top3: 0.7333 recall@top5: 0.8675 prec@top5: 0.4700 loss_action_cls: 0.0305 2023/03/11 02:51:22 - mmengine - INFO - Epoch(train) [12][2400/4451] lr: 1.7817e-06 eta: 7:01:00 time: 0.6378 data_time: 0.0131 memory: 51970 grad_norm: 0.1302 loss: 0.0292 recall@thr=0.5: 0.6975 prec@thr=0.5: 0.7677 recall@top3: 0.8086 prec@top3: 0.7677 recall@top5: 0.9485 prec@top5: 0.5636 loss_action_cls: 0.0292 2023/03/11 02:51:36 - mmengine - INFO - Epoch(train) [12][2420/4451] lr: 1.7803e-06 eta: 7:00:48 time: 0.7098 data_time: 0.0132 memory: 51970 grad_norm: 0.1306 loss: 0.0315 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7941 recall@top3: 0.7647 prec@top3: 0.5294 recall@top5: 0.8529 prec@top5: 0.3647 loss_action_cls: 0.0315 2023/03/11 02:51:50 - mmengine - INFO - Epoch(train) [12][2440/4451] lr: 1.7789e-06 eta: 7:00:35 time: 0.7085 data_time: 0.0119 memory: 51970 grad_norm: 0.1289 loss: 0.0346 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8000 recall@top3: 0.8889 prec@top3: 0.6222 recall@top5: 0.9111 prec@top5: 0.3867 loss_action_cls: 0.0346 2023/03/11 02:52:03 - mmengine - INFO - Epoch(train) [12][2460/4451] lr: 1.7776e-06 eta: 7:00:21 time: 0.6274 data_time: 0.0130 memory: 51970 grad_norm: 0.1342 loss: 0.0309 recall@thr=0.5: 0.8565 prec@thr=0.5: 0.9815 recall@top3: 0.9074 prec@top3: 0.6481 recall@top5: 0.9583 prec@top5: 0.4222 loss_action_cls: 0.0309 2023/03/11 02:52:15 - mmengine - INFO - Epoch(train) [12][2480/4451] lr: 1.7762e-06 eta: 7:00:07 time: 0.6236 data_time: 0.0121 memory: 51970 grad_norm: 0.1326 loss: 0.0313 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.7841 recall@top3: 0.9015 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.4636 loss_action_cls: 0.0313 2023/03/11 02:52:28 - mmengine - INFO - Epoch(train) [12][2500/4451] lr: 1.7748e-06 eta: 6:59:53 time: 0.6379 data_time: 0.0139 memory: 51970 grad_norm: 0.1322 loss: 0.0357 recall@thr=0.5: 0.7095 prec@thr=0.5: 0.7976 recall@top3: 0.8524 prec@top3: 0.6786 recall@top5: 0.9107 prec@top5: 0.4571 loss_action_cls: 0.0357 2023/03/11 02:52:41 - mmengine - INFO - Epoch(train) [12][2520/4451] lr: 1.7735e-06 eta: 6:59:39 time: 0.6747 data_time: 0.0117 memory: 51970 grad_norm: 0.1378 loss: 0.0316 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7500 recall@top3: 0.8792 prec@top3: 0.6667 recall@top5: 0.9833 prec@top5: 0.4600 loss_action_cls: 0.0316 2023/03/11 02:52:54 - mmengine - INFO - Epoch(train) [12][2540/4451] lr: 1.7721e-06 eta: 6:59:25 time: 0.6275 data_time: 0.0175 memory: 51970 grad_norm: 0.1291 loss: 0.0322 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8889 recall@top3: 0.8981 prec@top3: 0.5556 recall@top5: 0.9722 prec@top5: 0.3889 loss_action_cls: 0.0322 2023/03/11 02:53:07 - mmengine - INFO - Epoch(train) [12][2560/4451] lr: 1.7707e-06 eta: 6:59:12 time: 0.6786 data_time: 0.0111 memory: 51970 grad_norm: 0.1240 loss: 0.0316 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.6053 recall@top3: 0.7719 prec@top3: 0.5263 recall@top5: 0.8421 prec@top5: 0.3368 loss_action_cls: 0.0316 2023/03/11 02:53:21 - mmengine - INFO - Epoch(train) [12][2580/4451] lr: 1.7693e-06 eta: 6:58:59 time: 0.6905 data_time: 0.1967 memory: 51970 grad_norm: 0.1376 loss: 0.0324 recall@thr=0.5: 0.7383 prec@thr=0.5: 0.8092 recall@top3: 0.8175 prec@top3: 0.8333 recall@top5: 0.9442 prec@top5: 0.5900 loss_action_cls: 0.0324 2023/03/11 02:53:34 - mmengine - INFO - Epoch(train) [12][2600/4451] lr: 1.7680e-06 eta: 6:58:45 time: 0.6410 data_time: 0.0749 memory: 51970 grad_norm: 0.1299 loss: 0.0339 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.8981 recall@top3: 0.7917 prec@top3: 0.6481 recall@top5: 0.9167 prec@top5: 0.4556 loss_action_cls: 0.0339 2023/03/11 02:53:48 - mmengine - INFO - Epoch(train) [12][2620/4451] lr: 1.7666e-06 eta: 6:58:32 time: 0.7066 data_time: 0.0620 memory: 51970 grad_norm: 0.1356 loss: 0.0357 recall@thr=0.5: 0.7040 prec@thr=0.5: 0.7467 recall@top3: 0.6707 prec@top3: 0.5067 recall@top5: 0.7920 prec@top5: 0.3760 loss_action_cls: 0.0357 2023/03/11 02:53:59 - mmengine - INFO - Epoch(train) [12][2640/4451] lr: 1.7652e-06 eta: 6:58:17 time: 0.5611 data_time: 0.0206 memory: 51970 grad_norm: 0.1322 loss: 0.0325 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.6587 recall@top3: 0.8571 prec@top3: 0.5714 recall@top5: 0.9127 prec@top5: 0.3714 loss_action_cls: 0.0325 2023/03/11 02:54:14 - mmengine - INFO - Epoch(train) [12][2660/4451] lr: 1.7639e-06 eta: 6:58:05 time: 0.7491 data_time: 0.0308 memory: 51970 grad_norm: 0.1354 loss: 0.0328 recall@thr=0.5: 0.3406 prec@thr=0.5: 0.3913 recall@top3: 0.6812 prec@top3: 0.4348 recall@top5: 0.8551 prec@top5: 0.3043 loss_action_cls: 0.0328 2023/03/11 02:54:26 - mmengine - INFO - Epoch(train) [12][2680/4451] lr: 1.7625e-06 eta: 6:57:50 time: 0.5941 data_time: 0.0109 memory: 51970 grad_norm: 0.1322 loss: 0.0315 recall@thr=0.5: 0.7160 prec@thr=0.5: 0.7531 recall@top3: 0.8704 prec@top3: 0.6543 recall@top5: 1.0000 prec@top5: 0.4519 loss_action_cls: 0.0315 2023/03/11 02:54:42 - mmengine - INFO - Epoch(train) [12][2700/4451] lr: 1.7611e-06 eta: 6:57:38 time: 0.7754 data_time: 0.0234 memory: 51970 grad_norm: 0.1300 loss: 0.0292 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8333 recall@top3: 1.0000 prec@top3: 0.5556 recall@top5: 1.0000 prec@top5: 0.3333 loss_action_cls: 0.0292 2023/03/11 02:54:53 - mmengine - INFO - Epoch(train) [12][2720/4451] lr: 1.7597e-06 eta: 6:57:24 time: 0.5853 data_time: 0.0128 memory: 51970 grad_norm: 0.1388 loss: 0.0309 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8929 recall@top3: 0.8730 prec@top3: 0.6984 recall@top5: 0.9841 prec@top5: 0.4762 loss_action_cls: 0.0309 2023/03/11 02:55:09 - mmengine - INFO - Epoch(train) [12][2740/4451] lr: 1.7584e-06 eta: 6:57:12 time: 0.7847 data_time: 0.0128 memory: 51970 grad_norm: 0.1411 loss: 0.0306 recall@thr=0.5: 0.6463 prec@thr=0.5: 0.6620 recall@top3: 0.7185 prec@top3: 0.6296 recall@top5: 0.8611 prec@top5: 0.4667 loss_action_cls: 0.0306 2023/03/11 02:55:22 - mmengine - INFO - Epoch(train) [12][2760/4451] lr: 1.7570e-06 eta: 6:56:58 time: 0.6336 data_time: 0.0116 memory: 51970 grad_norm: 0.1407 loss: 0.0338 recall@thr=0.5: 0.7473 prec@thr=0.5: 0.7747 recall@top3: 0.8011 prec@top3: 0.7634 recall@top5: 0.9355 prec@top5: 0.5613 loss_action_cls: 0.0338 2023/03/11 02:55:35 - mmengine - INFO - Epoch(train) [12][2780/4451] lr: 1.7556e-06 eta: 6:56:44 time: 0.6536 data_time: 0.0287 memory: 51970 grad_norm: 0.1373 loss: 0.0315 recall@thr=0.5: 0.8068 prec@thr=0.5: 0.7242 recall@top3: 0.7917 prec@top3: 0.6061 recall@top5: 0.9167 prec@top5: 0.4455 loss_action_cls: 0.0315 2023/03/11 02:55:47 - mmengine - INFO - Epoch(train) [12][2800/4451] lr: 1.7542e-06 eta: 6:56:30 time: 0.6213 data_time: 0.0130 memory: 51970 grad_norm: 0.1305 loss: 0.0302 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.9123 recall@top3: 0.8684 prec@top3: 0.7719 recall@top5: 0.9737 prec@top5: 0.5368 loss_action_cls: 0.0302 2023/03/11 02:56:00 - mmengine - INFO - Epoch(train) [12][2820/4451] lr: 1.7529e-06 eta: 6:56:16 time: 0.6263 data_time: 0.0124 memory: 51970 grad_norm: 0.1392 loss: 0.0332 recall@thr=0.5: 0.5870 prec@thr=0.5: 0.7101 recall@top3: 0.7754 prec@top3: 0.5797 recall@top5: 0.9565 prec@top5: 0.4522 loss_action_cls: 0.0332 2023/03/11 02:56:13 - mmengine - INFO - Epoch(train) [12][2840/4451] lr: 1.7515e-06 eta: 6:56:02 time: 0.6409 data_time: 0.0130 memory: 51970 grad_norm: 0.1315 loss: 0.0319 recall@thr=0.5: 0.5871 prec@thr=0.5: 0.6970 recall@top3: 0.8705 prec@top3: 0.6667 recall@top5: 0.9591 prec@top5: 0.4636 loss_action_cls: 0.0319 2023/03/11 02:56:27 - mmengine - INFO - Epoch(train) [12][2860/4451] lr: 1.7501e-06 eta: 6:55:49 time: 0.7046 data_time: 0.0127 memory: 51970 grad_norm: 0.1278 loss: 0.0313 recall@thr=0.5: 0.6348 prec@thr=0.5: 0.8030 recall@top3: 0.7894 prec@top3: 0.6818 recall@top5: 0.8788 prec@top5: 0.4818 loss_action_cls: 0.0313 2023/03/11 02:56:39 - mmengine - INFO - Epoch(train) [12][2880/4451] lr: 1.7487e-06 eta: 6:55:35 time: 0.5953 data_time: 0.0144 memory: 51970 grad_norm: 0.1337 loss: 0.0365 recall@thr=0.5: 0.7847 prec@thr=0.5: 0.8472 recall@top3: 0.8958 prec@top3: 0.7083 recall@top5: 0.9444 prec@top5: 0.4500 loss_action_cls: 0.0365 2023/03/11 02:56:54 - mmengine - INFO - Epoch(train) [12][2900/4451] lr: 1.7474e-06 eta: 6:55:23 time: 0.7559 data_time: 0.0130 memory: 51970 grad_norm: 0.1374 loss: 0.0358 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8160 recall@top3: 0.8486 prec@top3: 0.7778 recall@top5: 0.9694 prec@top5: 0.5500 loss_action_cls: 0.0358 2023/03/11 02:57:06 - mmengine - INFO - Epoch(train) [12][2920/4451] lr: 1.7460e-06 eta: 6:55:08 time: 0.6064 data_time: 0.0129 memory: 51970 grad_norm: 0.1309 loss: 0.0313 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7857 recall@top3: 0.8571 prec@top3: 0.7143 recall@top5: 0.9643 prec@top5: 0.5000 loss_action_cls: 0.0313 2023/03/11 02:57:20 - mmengine - INFO - Epoch(train) [12][2940/4451] lr: 1.7446e-06 eta: 6:54:55 time: 0.6896 data_time: 0.0136 memory: 51970 grad_norm: 0.1338 loss: 0.0355 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.7292 recall@top3: 0.7917 prec@top3: 0.6111 recall@top5: 0.8889 prec@top5: 0.4167 loss_action_cls: 0.0355 2023/03/11 02:57:32 - mmengine - INFO - Epoch(train) [12][2960/4451] lr: 1.7432e-06 eta: 6:54:41 time: 0.6174 data_time: 0.0128 memory: 51970 grad_norm: 0.1430 loss: 0.0316 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.6349 recall@top3: 0.7103 prec@top3: 0.5238 recall@top5: 0.8175 prec@top5: 0.3905 loss_action_cls: 0.0316 2023/03/11 02:57:47 - mmengine - INFO - Epoch(train) [12][2980/4451] lr: 1.7419e-06 eta: 6:54:28 time: 0.7256 data_time: 0.0123 memory: 51970 grad_norm: 0.1300 loss: 0.0315 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.7583 recall@top3: 0.8144 prec@top3: 0.6212 recall@top5: 0.8864 prec@top5: 0.4182 loss_action_cls: 0.0315 2023/03/11 02:58:00 - mmengine - INFO - Epoch(train) [12][3000/4451] lr: 1.7405e-06 eta: 6:54:15 time: 0.6843 data_time: 0.0130 memory: 51970 grad_norm: 0.1339 loss: 0.0316 recall@thr=0.5: 0.7644 prec@thr=0.5: 0.8103 recall@top3: 0.8506 prec@top3: 0.5402 recall@top5: 0.9080 prec@top5: 0.3517 loss_action_cls: 0.0316 2023/03/11 02:58:15 - mmengine - INFO - Epoch(train) [12][3020/4451] lr: 1.7391e-06 eta: 6:54:02 time: 0.7092 data_time: 0.0132 memory: 51970 grad_norm: 0.1328 loss: 0.0325 recall@thr=0.5: 0.5868 prec@thr=0.5: 0.7708 recall@top3: 0.8125 prec@top3: 0.6806 recall@top5: 0.9410 prec@top5: 0.4833 loss_action_cls: 0.0325 2023/03/11 02:58:26 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 02:58:26 - mmengine - INFO - Epoch(train) [12][3040/4451] lr: 1.7377e-06 eta: 6:53:48 time: 0.5802 data_time: 0.0142 memory: 51970 grad_norm: 0.1287 loss: 0.0345 recall@thr=0.5: 0.5417 prec@thr=0.5: 0.7250 recall@top3: 0.7125 prec@top3: 0.6833 recall@top5: 0.8750 prec@top5: 0.5000 loss_action_cls: 0.0345 2023/03/11 02:58:40 - mmengine - INFO - Epoch(train) [12][3060/4451] lr: 1.7364e-06 eta: 6:53:35 time: 0.7130 data_time: 0.0132 memory: 51970 grad_norm: 0.1393 loss: 0.0309 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.7576 recall@top3: 0.8333 prec@top3: 0.7121 recall@top5: 1.0000 prec@top5: 0.5364 loss_action_cls: 0.0309 2023/03/11 02:58:51 - mmengine - INFO - Epoch(train) [12][3080/4451] lr: 1.7350e-06 eta: 6:53:20 time: 0.5490 data_time: 0.0125 memory: 51970 grad_norm: 0.1408 loss: 0.0322 recall@thr=0.5: 0.8492 prec@thr=0.5: 0.8079 recall@top3: 0.8849 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.4571 loss_action_cls: 0.0322 2023/03/11 02:59:05 - mmengine - INFO - Epoch(train) [12][3100/4451] lr: 1.7336e-06 eta: 6:53:06 time: 0.6589 data_time: 0.0122 memory: 51970 grad_norm: 0.1314 loss: 0.0308 recall@thr=0.5: 0.7990 prec@thr=0.5: 0.8137 recall@top3: 0.8775 prec@top3: 0.7451 recall@top5: 0.9216 prec@top5: 0.4765 loss_action_cls: 0.0308 2023/03/11 02:59:17 - mmengine - INFO - Epoch(train) [12][3120/4451] lr: 1.7322e-06 eta: 6:52:52 time: 0.6329 data_time: 0.0141 memory: 51970 grad_norm: 0.1414 loss: 0.0318 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7879 recall@top3: 0.8295 prec@top3: 0.7424 recall@top5: 0.9773 prec@top5: 0.5364 loss_action_cls: 0.0318 2023/03/11 02:59:30 - mmengine - INFO - Epoch(train) [12][3140/4451] lr: 1.7308e-06 eta: 6:52:38 time: 0.6212 data_time: 0.0119 memory: 51970 grad_norm: 0.1368 loss: 0.0330 recall@thr=0.5: 0.7699 prec@thr=0.5: 0.8590 recall@top3: 0.8673 prec@top3: 0.7821 recall@top5: 0.9750 prec@top5: 0.5538 loss_action_cls: 0.0330 2023/03/11 02:59:41 - mmengine - INFO - Epoch(train) [12][3160/4451] lr: 1.7295e-06 eta: 6:52:23 time: 0.5749 data_time: 0.0122 memory: 51970 grad_norm: 0.1332 loss: 0.0331 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8796 recall@top3: 0.9444 prec@top3: 0.7407 recall@top5: 0.9630 prec@top5: 0.4556 loss_action_cls: 0.0331 2023/03/11 02:59:55 - mmengine - INFO - Epoch(train) [12][3180/4451] lr: 1.7281e-06 eta: 6:52:10 time: 0.6760 data_time: 0.0127 memory: 51970 grad_norm: 0.1315 loss: 0.0335 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8106 recall@top3: 0.8220 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.4545 loss_action_cls: 0.0335 2023/03/11 03:00:06 - mmengine - INFO - Epoch(train) [12][3200/4451] lr: 1.7267e-06 eta: 6:51:55 time: 0.5562 data_time: 0.0125 memory: 51970 grad_norm: 0.1333 loss: 0.0320 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5741 recall@top3: 0.7963 prec@top3: 0.4630 recall@top5: 0.8704 prec@top5: 0.3000 loss_action_cls: 0.0320 2023/03/11 03:00:20 - mmengine - INFO - Epoch(train) [12][3220/4451] lr: 1.7253e-06 eta: 6:51:42 time: 0.7178 data_time: 0.0125 memory: 51970 grad_norm: 0.1343 loss: 0.0324 recall@thr=0.5: 0.6865 prec@thr=0.5: 0.6825 recall@top3: 0.7817 prec@top3: 0.6190 recall@top5: 0.9841 prec@top5: 0.4857 loss_action_cls: 0.0324 2023/03/11 03:00:33 - mmengine - INFO - Epoch(train) [12][3240/4451] lr: 1.7240e-06 eta: 6:51:28 time: 0.6477 data_time: 0.0130 memory: 51970 grad_norm: 0.1341 loss: 0.0336 recall@thr=0.5: 0.7901 prec@thr=0.5: 0.8333 recall@top3: 0.8889 prec@top3: 0.6049 recall@top5: 0.9506 prec@top5: 0.3926 loss_action_cls: 0.0336 2023/03/11 03:00:46 - mmengine - INFO - Epoch(train) [12][3260/4451] lr: 1.7226e-06 eta: 6:51:15 time: 0.6438 data_time: 0.0128 memory: 51970 grad_norm: 0.1314 loss: 0.0314 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.7895 recall@top3: 0.8421 prec@top3: 0.7544 recall@top5: 0.8684 prec@top5: 0.4737 loss_action_cls: 0.0314 2023/03/11 03:00:59 - mmengine - INFO - Epoch(train) [12][3280/4451] lr: 1.7212e-06 eta: 6:51:01 time: 0.6474 data_time: 0.0140 memory: 51970 grad_norm: 0.1404 loss: 0.0353 recall@thr=0.5: 0.7646 prec@thr=0.5: 0.8125 recall@top3: 0.7958 prec@top3: 0.5208 recall@top5: 0.9062 prec@top5: 0.3875 loss_action_cls: 0.0353 2023/03/11 03:01:13 - mmengine - INFO - Epoch(train) [12][3300/4451] lr: 1.7198e-06 eta: 6:50:48 time: 0.6932 data_time: 0.0832 memory: 51970 grad_norm: 0.1365 loss: 0.0366 recall@thr=0.5: 0.5500 prec@thr=0.5: 0.6083 recall@top3: 0.7750 prec@top3: 0.6500 recall@top5: 0.9417 prec@top5: 0.4700 loss_action_cls: 0.0366 2023/03/11 03:01:26 - mmengine - INFO - Epoch(train) [12][3320/4451] lr: 1.7184e-06 eta: 6:50:34 time: 0.6690 data_time: 0.2263 memory: 51970 grad_norm: 0.1290 loss: 0.0347 recall@thr=0.5: 0.9254 prec@thr=0.5: 0.9298 recall@top3: 0.9386 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0347 2023/03/11 03:01:40 - mmengine - INFO - Epoch(train) [12][3340/4451] lr: 1.7171e-06 eta: 6:50:21 time: 0.6710 data_time: 0.0905 memory: 51970 grad_norm: 0.1319 loss: 0.0321 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8258 recall@top3: 0.8788 prec@top3: 0.8182 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0321 2023/03/11 03:01:52 - mmengine - INFO - Epoch(train) [12][3360/4451] lr: 1.7157e-06 eta: 6:50:07 time: 0.6038 data_time: 0.0354 memory: 51970 grad_norm: 0.1306 loss: 0.0317 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.6212 recall@top3: 0.7538 prec@top3: 0.5606 recall@top5: 0.8712 prec@top5: 0.4000 loss_action_cls: 0.0317 2023/03/11 03:02:06 - mmengine - INFO - Epoch(train) [12][3380/4451] lr: 1.7143e-06 eta: 6:49:54 time: 0.7077 data_time: 0.0342 memory: 51970 grad_norm: 0.1391 loss: 0.0336 recall@thr=0.5: 0.8712 prec@thr=0.5: 0.8561 recall@top3: 1.0000 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0336 2023/03/11 03:02:18 - mmengine - INFO - Epoch(train) [12][3400/4451] lr: 1.7129e-06 eta: 6:49:39 time: 0.5921 data_time: 0.0320 memory: 51970 grad_norm: 0.1343 loss: 0.0289 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.7821 recall@top3: 0.8718 prec@top3: 0.6923 recall@top5: 0.9615 prec@top5: 0.4385 loss_action_cls: 0.0289 2023/03/11 03:02:31 - mmengine - INFO - Epoch(train) [12][3420/4451] lr: 1.7115e-06 eta: 6:49:26 time: 0.6829 data_time: 0.0108 memory: 51970 grad_norm: 0.1306 loss: 0.0333 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.6750 recall@top3: 0.8167 prec@top3: 0.6000 recall@top5: 0.8750 prec@top5: 0.4000 loss_action_cls: 0.0333 2023/03/11 03:02:42 - mmengine - INFO - Epoch(train) [12][3440/4451] lr: 1.7102e-06 eta: 6:49:11 time: 0.5458 data_time: 0.0132 memory: 51970 grad_norm: 0.1279 loss: 0.0326 recall@thr=0.5: 0.5781 prec@thr=0.5: 0.7187 recall@top3: 0.7031 prec@top3: 0.5000 recall@top5: 0.8802 prec@top5: 0.4000 loss_action_cls: 0.0326 2023/03/11 03:02:55 - mmengine - INFO - Epoch(train) [12][3460/4451] lr: 1.7088e-06 eta: 6:48:57 time: 0.6600 data_time: 0.0122 memory: 51970 grad_norm: 0.1358 loss: 0.0314 recall@thr=0.5: 0.8161 prec@thr=0.5: 0.8046 recall@top3: 0.8937 prec@top3: 0.7126 recall@top5: 0.9655 prec@top5: 0.4690 loss_action_cls: 0.0314 2023/03/11 03:03:07 - mmengine - INFO - Epoch(train) [12][3480/4451] lr: 1.7074e-06 eta: 6:48:43 time: 0.5919 data_time: 0.0129 memory: 51970 grad_norm: 0.1267 loss: 0.0300 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.7500 recall@top3: 0.7273 prec@top3: 0.7424 recall@top5: 0.8712 prec@top5: 0.5273 loss_action_cls: 0.0300 2023/03/11 03:03:21 - mmengine - INFO - Epoch(train) [12][3500/4451] lr: 1.7060e-06 eta: 6:48:30 time: 0.6849 data_time: 0.0124 memory: 51970 grad_norm: 0.1269 loss: 0.0315 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.6842 recall@top3: 0.8333 prec@top3: 0.5263 recall@top5: 0.9211 prec@top5: 0.3579 loss_action_cls: 0.0315 2023/03/11 03:03:34 - mmengine - INFO - Epoch(train) [12][3520/4451] lr: 1.7046e-06 eta: 6:48:16 time: 0.6250 data_time: 0.0294 memory: 51970 grad_norm: 0.1374 loss: 0.0351 recall@thr=0.5: 0.8067 prec@thr=0.5: 0.8333 recall@top3: 0.9400 prec@top3: 0.7333 recall@top5: 0.9533 prec@top5: 0.4480 loss_action_cls: 0.0351 2023/03/11 03:03:46 - mmengine - INFO - Epoch(train) [12][3540/4451] lr: 1.7032e-06 eta: 6:48:01 time: 0.6183 data_time: 0.0128 memory: 51970 grad_norm: 0.1314 loss: 0.0367 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.8397 recall@top3: 0.8269 prec@top3: 0.7051 recall@top5: 0.9615 prec@top5: 0.5000 loss_action_cls: 0.0367 2023/03/11 03:03:58 - mmengine - INFO - Epoch(train) [12][3560/4451] lr: 1.7019e-06 eta: 6:47:47 time: 0.5978 data_time: 0.0131 memory: 51970 grad_norm: 0.1363 loss: 0.0326 recall@thr=0.5: 0.6724 prec@thr=0.5: 0.6839 recall@top3: 0.8448 prec@top3: 0.5862 recall@top5: 0.9253 prec@top5: 0.3862 loss_action_cls: 0.0326 2023/03/11 03:04:10 - mmengine - INFO - Epoch(train) [12][3580/4451] lr: 1.7005e-06 eta: 6:47:33 time: 0.6192 data_time: 0.0131 memory: 51970 grad_norm: 0.1257 loss: 0.0335 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8333 recall@top3: 0.8500 prec@top3: 0.7167 recall@top5: 0.9667 prec@top5: 0.5000 loss_action_cls: 0.0335 2023/03/11 03:04:22 - mmengine - INFO - Epoch(train) [12][3600/4451] lr: 1.6991e-06 eta: 6:47:19 time: 0.6045 data_time: 0.0125 memory: 51970 grad_norm: 0.1318 loss: 0.0340 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7778 recall@top3: 0.8135 prec@top3: 0.7302 recall@top5: 0.9365 prec@top5: 0.4952 loss_action_cls: 0.0340 2023/03/11 03:04:36 - mmengine - INFO - Epoch(train) [12][3620/4451] lr: 1.6977e-06 eta: 6:47:06 time: 0.7047 data_time: 0.0204 memory: 51970 grad_norm: 0.1368 loss: 0.0303 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.7174 recall@top3: 0.9275 prec@top3: 0.6667 recall@top5: 0.9601 prec@top5: 0.4174 loss_action_cls: 0.0303 2023/03/11 03:04:47 - mmengine - INFO - Epoch(train) [12][3640/4451] lr: 1.6963e-06 eta: 6:46:50 time: 0.5462 data_time: 0.0129 memory: 51970 grad_norm: 0.1353 loss: 0.0364 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7111 recall@top3: 0.7667 prec@top3: 0.6222 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0364 2023/03/11 03:05:01 - mmengine - INFO - Epoch(train) [12][3660/4451] lr: 1.6949e-06 eta: 6:46:38 time: 0.7031 data_time: 0.0136 memory: 51970 grad_norm: 0.1379 loss: 0.0311 recall@thr=0.5: 0.6852 prec@thr=0.5: 0.7454 recall@top3: 0.7870 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0311 2023/03/11 03:05:13 - mmengine - INFO - Epoch(train) [12][3680/4451] lr: 1.6936e-06 eta: 6:46:23 time: 0.5566 data_time: 0.0128 memory: 51970 grad_norm: 0.1378 loss: 0.0348 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8889 recall@top3: 0.8750 prec@top3: 0.6250 recall@top5: 0.9514 prec@top5: 0.4250 loss_action_cls: 0.0348 2023/03/11 03:05:26 - mmengine - INFO - Epoch(train) [12][3700/4451] lr: 1.6922e-06 eta: 6:46:09 time: 0.6698 data_time: 0.0129 memory: 51970 grad_norm: 0.1291 loss: 0.0264 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.9231 recall@top3: 0.9231 prec@top3: 0.6410 recall@top5: 1.0000 prec@top5: 0.4308 loss_action_cls: 0.0264 2023/03/11 03:05:38 - mmengine - INFO - Epoch(train) [12][3720/4451] lr: 1.6908e-06 eta: 6:45:55 time: 0.6226 data_time: 0.0142 memory: 51970 grad_norm: 0.1380 loss: 0.0349 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7778 recall@top3: 0.8611 prec@top3: 0.6806 recall@top5: 0.9271 prec@top5: 0.4583 loss_action_cls: 0.0349 2023/03/11 03:05:52 - mmengine - INFO - Epoch(train) [12][3740/4451] lr: 1.6894e-06 eta: 6:45:42 time: 0.6622 data_time: 0.0140 memory: 51970 grad_norm: 0.1360 loss: 0.0344 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.9444 recall@top3: 0.8722 prec@top3: 0.6667 recall@top5: 0.9111 prec@top5: 0.4333 loss_action_cls: 0.0344 2023/03/11 03:06:04 - mmengine - INFO - Epoch(train) [12][3760/4451] lr: 1.6880e-06 eta: 6:45:28 time: 0.6303 data_time: 0.0131 memory: 51970 grad_norm: 0.1366 loss: 0.0343 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7807 recall@top3: 0.8421 prec@top3: 0.5789 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0343 2023/03/11 03:06:17 - mmengine - INFO - Epoch(train) [12][3780/4451] lr: 1.6866e-06 eta: 6:45:14 time: 0.6223 data_time: 0.0142 memory: 51970 grad_norm: 0.1289 loss: 0.0305 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8431 recall@top3: 0.8922 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4118 loss_action_cls: 0.0305 2023/03/11 03:06:28 - mmengine - INFO - Epoch(train) [12][3800/4451] lr: 1.6853e-06 eta: 6:44:59 time: 0.5630 data_time: 0.0124 memory: 51970 grad_norm: 0.1279 loss: 0.0305 recall@thr=0.5: 0.6059 prec@thr=0.5: 0.8235 recall@top3: 0.8294 prec@top3: 0.5490 recall@top5: 0.9000 prec@top5: 0.3647 loss_action_cls: 0.0305 2023/03/11 03:06:41 - mmengine - INFO - Epoch(train) [12][3820/4451] lr: 1.6839e-06 eta: 6:44:45 time: 0.6546 data_time: 0.0127 memory: 51970 grad_norm: 0.1355 loss: 0.0362 recall@thr=0.5: 0.7537 prec@thr=0.5: 0.8380 recall@top3: 0.7741 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.6111 loss_action_cls: 0.0362 2023/03/11 03:06:53 - mmengine - INFO - Epoch(train) [12][3840/4451] lr: 1.6825e-06 eta: 6:44:31 time: 0.6177 data_time: 0.0144 memory: 51970 grad_norm: 0.1394 loss: 0.0350 recall@thr=0.5: 0.8276 prec@thr=0.5: 0.8506 recall@top3: 0.8391 prec@top3: 0.7931 recall@top5: 0.9598 prec@top5: 0.5586 loss_action_cls: 0.0350 2023/03/11 03:07:08 - mmengine - INFO - Epoch(train) [12][3860/4451] lr: 1.6811e-06 eta: 6:44:18 time: 0.7139 data_time: 0.0116 memory: 51970 grad_norm: 0.1260 loss: 0.0338 recall@thr=0.5: 0.7348 prec@thr=0.5: 0.7045 recall@top3: 0.9394 prec@top3: 0.6818 recall@top5: 0.9848 prec@top5: 0.4364 loss_action_cls: 0.0338 2023/03/11 03:07:20 - mmengine - INFO - Epoch(train) [12][3880/4451] lr: 1.6797e-06 eta: 6:44:04 time: 0.6262 data_time: 0.0129 memory: 51970 grad_norm: 0.1340 loss: 0.0316 recall@thr=0.5: 0.8550 prec@thr=0.5: 0.9042 recall@top3: 0.8517 prec@top3: 0.8000 recall@top5: 0.9750 prec@top5: 0.5800 loss_action_cls: 0.0316 2023/03/11 03:07:32 - mmengine - INFO - Epoch(train) [12][3900/4451] lr: 1.6783e-06 eta: 6:43:49 time: 0.5726 data_time: 0.0137 memory: 51970 grad_norm: 0.1293 loss: 0.0299 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8070 recall@top3: 0.8421 prec@top3: 0.6491 recall@top5: 0.9123 prec@top5: 0.4211 loss_action_cls: 0.0299 2023/03/11 03:07:45 - mmengine - INFO - Epoch(train) [12][3920/4451] lr: 1.6769e-06 eta: 6:43:36 time: 0.6666 data_time: 0.0129 memory: 51970 grad_norm: 0.1265 loss: 0.0312 recall@thr=0.5: 0.4902 prec@thr=0.5: 0.5294 recall@top3: 0.6569 prec@top3: 0.5098 recall@top5: 0.8824 prec@top5: 0.4235 loss_action_cls: 0.0312 2023/03/11 03:07:59 - mmengine - INFO - Epoch(train) [12][3940/4451] lr: 1.6756e-06 eta: 6:43:23 time: 0.6950 data_time: 0.0131 memory: 51970 grad_norm: 0.1359 loss: 0.0337 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7018 recall@top3: 0.7895 prec@top3: 0.7018 recall@top5: 0.9474 prec@top5: 0.5158 loss_action_cls: 0.0337 2023/03/11 03:08:11 - mmengine - INFO - Epoch(train) [12][3960/4451] lr: 1.6742e-06 eta: 6:43:08 time: 0.5870 data_time: 0.0123 memory: 51970 grad_norm: 0.1362 loss: 0.0288 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8409 recall@top3: 0.8636 prec@top3: 0.5455 recall@top5: 0.8636 prec@top5: 0.3273 loss_action_cls: 0.0288 2023/03/11 03:08:25 - mmengine - INFO - Epoch(train) [12][3980/4451] lr: 1.6728e-06 eta: 6:42:56 time: 0.7329 data_time: 0.0123 memory: 51970 grad_norm: 0.1364 loss: 0.0345 recall@thr=0.5: 0.8200 prec@thr=0.5: 0.7400 recall@top3: 0.7880 prec@top3: 0.7200 recall@top5: 0.9067 prec@top5: 0.5120 loss_action_cls: 0.0345 2023/03/11 03:08:38 - mmengine - INFO - Epoch(train) [12][4000/4451] lr: 1.6714e-06 eta: 6:42:42 time: 0.6148 data_time: 0.0129 memory: 51970 grad_norm: 0.1348 loss: 0.0303 recall@thr=0.5: 0.7679 prec@thr=0.5: 0.8214 recall@top3: 0.8393 prec@top3: 0.5476 recall@top5: 0.9464 prec@top5: 0.3857 loss_action_cls: 0.0303 2023/03/11 03:08:49 - mmengine - INFO - Epoch(train) [12][4020/4451] lr: 1.6700e-06 eta: 6:42:27 time: 0.5765 data_time: 0.0126 memory: 51970 grad_norm: 0.1422 loss: 0.0360 recall@thr=0.5: 0.7138 prec@thr=0.5: 0.7196 recall@top3: 0.8333 prec@top3: 0.6812 recall@top5: 0.9783 prec@top5: 0.4870 loss_action_cls: 0.0360 2023/03/11 03:09:00 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 03:09:00 - mmengine - INFO - Epoch(train) [12][4040/4451] lr: 1.6686e-06 eta: 6:42:12 time: 0.5498 data_time: 0.0135 memory: 51970 grad_norm: 0.1289 loss: 0.0331 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6250 recall@top3: 0.7222 prec@top3: 0.6250 recall@top5: 0.8750 prec@top5: 0.4750 loss_action_cls: 0.0331 2023/03/11 03:09:14 - mmengine - INFO - Epoch(train) [12][4060/4451] lr: 1.6672e-06 eta: 6:41:59 time: 0.6777 data_time: 0.0127 memory: 51970 grad_norm: 0.1364 loss: 0.0336 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7451 recall@top3: 0.8529 prec@top3: 0.6667 recall@top5: 0.9608 prec@top5: 0.4471 loss_action_cls: 0.0336 2023/03/11 03:09:26 - mmengine - INFO - Epoch(train) [12][4080/4451] lr: 1.6659e-06 eta: 6:41:45 time: 0.6335 data_time: 0.0137 memory: 51970 grad_norm: 0.1297 loss: 0.0328 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.8718 recall@top3: 0.8269 prec@top3: 0.6154 recall@top5: 0.9744 prec@top5: 0.4538 loss_action_cls: 0.0328 2023/03/11 03:09:38 - mmengine - INFO - Epoch(train) [12][4100/4451] lr: 1.6645e-06 eta: 6:41:30 time: 0.5960 data_time: 0.0123 memory: 51970 grad_norm: 0.1319 loss: 0.0308 recall@thr=0.5: 0.5588 prec@thr=0.5: 0.7647 recall@top3: 0.8186 prec@top3: 0.6863 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0308 2023/03/11 03:09:51 - mmengine - INFO - Epoch(train) [12][4120/4451] lr: 1.6631e-06 eta: 6:41:16 time: 0.6177 data_time: 0.0134 memory: 51970 grad_norm: 0.1281 loss: 0.0314 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7333 recall@top3: 0.8100 prec@top3: 0.6533 recall@top5: 0.8533 prec@top5: 0.4240 loss_action_cls: 0.0314 2023/03/11 03:10:04 - mmengine - INFO - Epoch(train) [12][4140/4451] lr: 1.6617e-06 eta: 6:41:03 time: 0.6616 data_time: 0.0790 memory: 51970 grad_norm: 0.1346 loss: 0.0333 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8364 recall@top3: 0.8328 prec@top3: 0.7475 recall@top5: 0.9283 prec@top5: 0.5333 loss_action_cls: 0.0333 2023/03/11 03:10:17 - mmengine - INFO - Epoch(train) [12][4160/4451] lr: 1.6603e-06 eta: 6:40:49 time: 0.6722 data_time: 0.0788 memory: 51970 grad_norm: 0.1353 loss: 0.0323 recall@thr=0.5: 0.9219 prec@thr=0.5: 0.8646 recall@top3: 0.9219 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0323 2023/03/11 03:10:30 - mmengine - INFO - Epoch(train) [12][4180/4451] lr: 1.6589e-06 eta: 6:40:36 time: 0.6530 data_time: 0.0124 memory: 51970 grad_norm: 0.1347 loss: 0.0301 recall@thr=0.5: 0.8106 prec@thr=0.5: 0.9192 recall@top3: 0.8838 prec@top3: 0.7172 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0301 2023/03/11 03:10:43 - mmengine - INFO - Epoch(train) [12][4200/4451] lr: 1.6575e-06 eta: 6:40:21 time: 0.6023 data_time: 0.0133 memory: 51970 grad_norm: 0.1331 loss: 0.0309 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.7375 recall@top3: 0.8417 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4100 loss_action_cls: 0.0309 2023/03/11 03:10:55 - mmengine - INFO - Epoch(train) [12][4220/4451] lr: 1.6561e-06 eta: 6:40:07 time: 0.6234 data_time: 0.0122 memory: 51970 grad_norm: 0.1334 loss: 0.0349 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7544 recall@top3: 0.8860 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4105 loss_action_cls: 0.0349 2023/03/11 03:11:07 - mmengine - INFO - Epoch(train) [12][4240/4451] lr: 1.6548e-06 eta: 6:39:53 time: 0.6137 data_time: 0.0136 memory: 51970 grad_norm: 0.1351 loss: 0.0292 recall@thr=0.5: 0.6020 prec@thr=0.5: 0.5784 recall@top3: 0.6804 prec@top3: 0.4510 recall@top5: 0.9294 prec@top5: 0.3765 loss_action_cls: 0.0292 2023/03/11 03:11:20 - mmengine - INFO - Epoch(train) [12][4260/4451] lr: 1.6534e-06 eta: 6:39:39 time: 0.6243 data_time: 0.0135 memory: 51970 grad_norm: 0.1329 loss: 0.0362 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8039 recall@top3: 0.8529 prec@top3: 0.4314 recall@top5: 0.9314 prec@top5: 0.3059 loss_action_cls: 0.0362 2023/03/11 03:11:32 - mmengine - INFO - Epoch(train) [12][4280/4451] lr: 1.6520e-06 eta: 6:39:25 time: 0.6291 data_time: 0.0131 memory: 51970 grad_norm: 0.1290 loss: 0.0284 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.6562 recall@top3: 0.8448 prec@top3: 0.5937 recall@top5: 0.9427 prec@top5: 0.4250 loss_action_cls: 0.0284 2023/03/11 03:11:45 - mmengine - INFO - Epoch(train) [12][4300/4451] lr: 1.6506e-06 eta: 6:39:12 time: 0.6529 data_time: 0.0121 memory: 51970 grad_norm: 0.1364 loss: 0.0339 recall@thr=0.5: 0.6636 prec@thr=0.5: 0.7741 recall@top3: 0.8117 prec@top3: 0.7407 recall@top5: 0.9475 prec@top5: 0.5185 loss_action_cls: 0.0339 2023/03/11 03:11:59 - mmengine - INFO - Epoch(train) [12][4320/4451] lr: 1.6492e-06 eta: 6:38:58 time: 0.6561 data_time: 0.0141 memory: 51970 grad_norm: 0.1366 loss: 0.0338 recall@thr=0.5: 0.5853 prec@thr=0.5: 0.6373 recall@top3: 0.8324 prec@top3: 0.7255 recall@top5: 0.9471 prec@top5: 0.5176 loss_action_cls: 0.0338 2023/03/11 03:12:11 - mmengine - INFO - Epoch(train) [12][4340/4451] lr: 1.6478e-06 eta: 6:38:44 time: 0.6278 data_time: 0.0118 memory: 51970 grad_norm: 0.1339 loss: 0.0295 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.6667 recall@top3: 0.8000 prec@top3: 0.6444 recall@top5: 0.8778 prec@top5: 0.4267 loss_action_cls: 0.0295 2023/03/11 03:12:25 - mmengine - INFO - Epoch(train) [12][4360/4451] lr: 1.6464e-06 eta: 6:38:31 time: 0.6976 data_time: 0.0138 memory: 51970 grad_norm: 0.1382 loss: 0.0296 recall@thr=0.5: 0.5392 prec@thr=0.5: 0.5588 recall@top3: 0.7549 prec@top3: 0.6863 recall@top5: 0.9853 prec@top5: 0.5294 loss_action_cls: 0.0296 2023/03/11 03:12:38 - mmengine - INFO - Epoch(train) [12][4380/4451] lr: 1.6450e-06 eta: 6:38:18 time: 0.6610 data_time: 0.0237 memory: 51970 grad_norm: 0.1323 loss: 0.0304 recall@thr=0.5: 0.8426 prec@thr=0.5: 0.9889 recall@top3: 0.9074 prec@top3: 0.6667 recall@top5: 0.9630 prec@top5: 0.4333 loss_action_cls: 0.0304 2023/03/11 03:12:52 - mmengine - INFO - Epoch(train) [12][4400/4451] lr: 1.6436e-06 eta: 6:38:04 time: 0.6724 data_time: 0.0133 memory: 51970 grad_norm: 0.1310 loss: 0.0288 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.6964 recall@top3: 0.9167 prec@top3: 0.6429 recall@top5: 0.9524 prec@top5: 0.4071 loss_action_cls: 0.0288 2023/03/11 03:13:05 - mmengine - INFO - Epoch(train) [12][4420/4451] lr: 1.6423e-06 eta: 6:37:51 time: 0.6600 data_time: 0.0129 memory: 51970 grad_norm: 0.1335 loss: 0.0322 recall@thr=0.5: 0.7981 prec@thr=0.5: 0.8558 recall@top3: 0.9071 prec@top3: 0.8205 recall@top5: 0.9551 prec@top5: 0.5308 loss_action_cls: 0.0322 2023/03/11 03:13:18 - mmengine - INFO - Epoch(train) [12][4440/4451] lr: 1.6409e-06 eta: 6:37:37 time: 0.6616 data_time: 0.0323 memory: 51970 grad_norm: 0.1309 loss: 0.0309 recall@thr=0.5: 0.7754 prec@thr=0.5: 0.7681 recall@top3: 0.8333 prec@top3: 0.7681 recall@top5: 0.9348 prec@top5: 0.5217 loss_action_cls: 0.0309 2023/03/11 03:13:23 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 03:13:23 - mmengine - INFO - Epoch(train) [12][4451/4451] lr: 1.6401e-06 eta: 6:37:28 time: 0.5212 data_time: 0.0294 memory: 51970 grad_norm: 0.1357 loss: 0.0336 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8889 recall@top3: 0.9444 prec@top3: 0.4074 recall@top5: 0.9444 prec@top5: 0.2444 loss_action_cls: 0.0336 2023/03/11 03:13:23 - mmengine - INFO - Saving checkpoint at 12 epochs 2023/03/11 03:13:29 - mmengine - INFO - Epoch(val) [12][ 20/6282] eta: 0:07:46 time: 0.0745 data_time: 0.0303 memory: 2331 2023/03/11 03:13:30 - mmengine - INFO - Epoch(val) [12][ 40/6282] eta: 0:06:46 time: 0.0559 data_time: 0.0108 memory: 2331 2023/03/11 03:13:31 - mmengine - INFO - Epoch(val) [12][ 60/6282] eta: 0:06:21 time: 0.0537 data_time: 0.0106 memory: 2331 2023/03/11 03:13:32 - mmengine - INFO - Epoch(val) [12][ 80/6282] eta: 0:06:04 time: 0.0509 data_time: 0.0076 memory: 2331 2023/03/11 03:13:33 - mmengine - INFO - Epoch(val) [12][ 100/6282] eta: 0:05:51 time: 0.0494 data_time: 0.0043 memory: 2331 2023/03/11 03:13:34 - mmengine - INFO - Epoch(val) [12][ 120/6282] eta: 0:05:49 time: 0.0562 data_time: 0.0021 memory: 2934 2023/03/11 03:13:36 - mmengine - INFO - Epoch(val) [12][ 140/6282] eta: 0:05:53 time: 0.0627 data_time: 0.0023 memory: 2934 2023/03/11 03:13:37 - mmengine - INFO - Epoch(val) [12][ 160/6282] eta: 0:05:56 time: 0.0629 data_time: 0.0024 memory: 2934 2023/03/11 03:13:38 - mmengine - INFO - Epoch(val) [12][ 180/6282] eta: 0:06:00 time: 0.0657 data_time: 0.0024 memory: 2934 2023/03/11 03:13:40 - mmengine - INFO - Epoch(val) [12][ 200/6282] eta: 0:06:01 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/11 03:13:41 - mmengine - INFO - Epoch(val) [12][ 220/6282] eta: 0:05:55 time: 0.0502 data_time: 0.0024 memory: 2396 2023/03/11 03:13:42 - mmengine - INFO - Epoch(val) [12][ 240/6282] eta: 0:05:49 time: 0.0491 data_time: 0.0029 memory: 2396 2023/03/11 03:13:43 - mmengine - INFO - Epoch(val) [12][ 260/6282] eta: 0:05:44 time: 0.0499 data_time: 0.0027 memory: 2396 2023/03/11 03:13:44 - mmengine - INFO - Epoch(val) [12][ 280/6282] eta: 0:05:40 time: 0.0496 data_time: 0.0030 memory: 2396 2023/03/11 03:13:45 - mmengine - INFO - Epoch(val) [12][ 300/6282] eta: 0:05:38 time: 0.0564 data_time: 0.0030 memory: 2934 2023/03/11 03:13:46 - mmengine - INFO - Epoch(val) [12][ 320/6282] eta: 0:05:42 time: 0.0700 data_time: 0.0056 memory: 2934 2023/03/11 03:13:47 - mmengine - INFO - Epoch(val) [12][ 340/6282] eta: 0:05:43 time: 0.0632 data_time: 0.0025 memory: 2934 2023/03/11 03:13:49 - mmengine - INFO - Epoch(val) [12][ 360/6282] eta: 0:05:45 time: 0.0665 data_time: 0.0023 memory: 2934 2023/03/11 03:13:50 - mmengine - INFO - Epoch(val) [12][ 380/6282] eta: 0:05:45 time: 0.0640 data_time: 0.0025 memory: 2934 2023/03/11 03:13:51 - mmengine - INFO - Epoch(val) [12][ 400/6282] eta: 0:05:43 time: 0.0564 data_time: 0.0021 memory: 2934 2023/03/11 03:13:52 - mmengine - INFO - Epoch(val) [12][ 420/6282] eta: 0:05:40 time: 0.0520 data_time: 0.0059 memory: 2397 2023/03/11 03:13:53 - mmengine - INFO - Epoch(val) [12][ 440/6282] eta: 0:05:40 time: 0.0591 data_time: 0.0140 memory: 2397 2023/03/11 03:13:55 - mmengine - INFO - Epoch(val) [12][ 460/6282] eta: 0:05:40 time: 0.0653 data_time: 0.0184 memory: 2397 2023/03/11 03:13:56 - mmengine - INFO - Epoch(val) [12][ 480/6282] eta: 0:05:41 time: 0.0656 data_time: 0.0190 memory: 2397 2023/03/11 03:13:57 - mmengine - INFO - Epoch(val) [12][ 500/6282] eta: 0:05:39 time: 0.0569 data_time: 0.0105 memory: 2397 2023/03/11 03:13:58 - mmengine - INFO - Epoch(val) [12][ 520/6282] eta: 0:05:37 time: 0.0536 data_time: 0.0084 memory: 2396 2023/03/11 03:13:59 - mmengine - INFO - Epoch(val) [12][ 540/6282] eta: 0:05:36 time: 0.0624 data_time: 0.0152 memory: 2396 2023/03/11 03:14:01 - mmengine - INFO - Epoch(val) [12][ 560/6282] eta: 0:05:36 time: 0.0640 data_time: 0.0167 memory: 2396 2023/03/11 03:14:03 - mmengine - INFO - Epoch(val) [12][ 580/6282] eta: 0:05:46 time: 0.1152 data_time: 0.0704 memory: 2396 2023/03/11 03:14:04 - mmengine - INFO - Epoch(val) [12][ 600/6282] eta: 0:05:44 time: 0.0571 data_time: 0.0104 memory: 2396 2023/03/11 03:14:05 - mmengine - INFO - Epoch(val) [12][ 620/6282] eta: 0:05:44 time: 0.0637 data_time: 0.0202 memory: 2396 2023/03/11 03:14:06 - mmengine - INFO - Epoch(val) [12][ 640/6282] eta: 0:05:40 time: 0.0484 data_time: 0.0038 memory: 2332 2023/03/11 03:14:07 - mmengine - INFO - Epoch(val) [12][ 660/6282] eta: 0:05:37 time: 0.0486 data_time: 0.0036 memory: 2332 2023/03/11 03:14:08 - mmengine - INFO - Epoch(val) [12][ 680/6282] eta: 0:05:34 time: 0.0502 data_time: 0.0039 memory: 2332 2023/03/11 03:14:09 - mmengine - INFO - Epoch(val) [12][ 700/6282] eta: 0:05:31 time: 0.0483 data_time: 0.0036 memory: 2332 2023/03/11 03:14:11 - mmengine - INFO - Epoch(val) [12][ 720/6282] eta: 0:05:33 time: 0.0778 data_time: 0.0202 memory: 2934 2023/03/11 03:14:13 - mmengine - INFO - Epoch(val) [12][ 740/6282] eta: 0:05:38 time: 0.1029 data_time: 0.0411 memory: 2934 2023/03/11 03:14:15 - mmengine - INFO - Epoch(val) [12][ 760/6282] eta: 0:05:41 time: 0.0924 data_time: 0.0307 memory: 2934 2023/03/11 03:14:17 - mmengine - INFO - Epoch(val) [12][ 780/6282] eta: 0:05:45 time: 0.0959 data_time: 0.0351 memory: 2934 2023/03/11 03:14:18 - mmengine - INFO - Epoch(val) [12][ 800/6282] eta: 0:05:46 time: 0.0800 data_time: 0.0181 memory: 2934 2023/03/11 03:14:20 - mmengine - INFO - Epoch(val) [12][ 820/6282] eta: 0:05:46 time: 0.0687 data_time: 0.0172 memory: 2934 2023/03/11 03:14:21 - mmengine - INFO - Epoch(val) [12][ 840/6282] eta: 0:05:44 time: 0.0580 data_time: 0.0125 memory: 2396 2023/03/11 03:14:22 - mmengine - INFO - Epoch(val) [12][ 860/6282] eta: 0:05:42 time: 0.0615 data_time: 0.0139 memory: 2396 2023/03/11 03:14:23 - mmengine - INFO - Epoch(val) [12][ 880/6282] eta: 0:05:40 time: 0.0560 data_time: 0.0092 memory: 2396 2023/03/11 03:14:25 - mmengine - INFO - Epoch(val) [12][ 900/6282] eta: 0:05:38 time: 0.0588 data_time: 0.0125 memory: 2396 2023/03/11 03:14:26 - mmengine - INFO - Epoch(val) [12][ 920/6282] eta: 0:05:37 time: 0.0642 data_time: 0.0175 memory: 2396 2023/03/11 03:14:27 - mmengine - INFO - Epoch(val) [12][ 940/6282] eta: 0:05:35 time: 0.0599 data_time: 0.0169 memory: 2331 2023/03/11 03:14:28 - mmengine - INFO - Epoch(val) [12][ 960/6282] eta: 0:05:33 time: 0.0544 data_time: 0.0094 memory: 2331 2023/03/11 03:14:29 - mmengine - INFO - Epoch(val) [12][ 980/6282] eta: 0:05:31 time: 0.0574 data_time: 0.0125 memory: 2331 2023/03/11 03:14:31 - mmengine - INFO - Epoch(val) [12][1000/6282] eta: 0:05:30 time: 0.0638 data_time: 0.0167 memory: 2331 2023/03/11 03:14:32 - mmengine - INFO - Epoch(val) [12][1020/6282] eta: 0:05:29 time: 0.0592 data_time: 0.0138 memory: 2396 2023/03/11 03:14:33 - mmengine - INFO - Epoch(val) [12][1040/6282] eta: 0:05:27 time: 0.0567 data_time: 0.0094 memory: 2396 2023/03/11 03:14:34 - mmengine - INFO - Epoch(val) [12][1060/6282] eta: 0:05:25 time: 0.0609 data_time: 0.0152 memory: 2396 2023/03/11 03:14:36 - mmengine - INFO - Epoch(val) [12][1080/6282] eta: 0:05:25 time: 0.0724 data_time: 0.0252 memory: 2396 2023/03/11 03:14:37 - mmengine - INFO - Epoch(val) [12][1100/6282] eta: 0:05:23 time: 0.0579 data_time: 0.0104 memory: 2396 2023/03/11 03:14:38 - mmengine - INFO - Epoch(val) [12][1120/6282] eta: 0:05:22 time: 0.0552 data_time: 0.0102 memory: 2396 2023/03/11 03:14:39 - mmengine - INFO - Epoch(val) [12][1140/6282] eta: 0:05:20 time: 0.0585 data_time: 0.0101 memory: 2396 2023/03/11 03:14:40 - mmengine - INFO - Epoch(val) [12][1160/6282] eta: 0:05:18 time: 0.0555 data_time: 0.0076 memory: 2396 2023/03/11 03:14:41 - mmengine - INFO - Epoch(val) [12][1180/6282] eta: 0:05:16 time: 0.0508 data_time: 0.0035 memory: 2396 2023/03/11 03:14:42 - mmengine - INFO - Epoch(val) [12][1200/6282] eta: 0:05:14 time: 0.0521 data_time: 0.0034 memory: 2396 2023/03/11 03:14:43 - mmengine - INFO - Epoch(val) [12][1220/6282] eta: 0:05:12 time: 0.0508 data_time: 0.0035 memory: 2396 2023/03/11 03:14:45 - mmengine - INFO - Epoch(val) [12][1240/6282] eta: 0:05:13 time: 0.0901 data_time: 0.0292 memory: 2934 2023/03/11 03:14:47 - mmengine - INFO - Epoch(val) [12][1260/6282] eta: 0:05:14 time: 0.0878 data_time: 0.0262 memory: 2934 2023/03/11 03:14:49 - mmengine - INFO - Epoch(val) [12][1280/6282] eta: 0:05:16 time: 0.1050 data_time: 0.0433 memory: 2934 2023/03/11 03:14:51 - mmengine - INFO - Epoch(val) [12][1300/6282] eta: 0:05:17 time: 0.0923 data_time: 0.0293 memory: 2934 2023/03/11 03:14:53 - mmengine - INFO - Epoch(val) [12][1320/6282] eta: 0:05:18 time: 0.0958 data_time: 0.0329 memory: 2934 2023/03/11 03:14:55 - mmengine - INFO - Epoch(val) [12][1340/6282] eta: 0:05:18 time: 0.0905 data_time: 0.0280 memory: 2934 2023/03/11 03:14:57 - mmengine - INFO - Epoch(val) [12][1360/6282] eta: 0:05:20 time: 0.0986 data_time: 0.0344 memory: 2934 2023/03/11 03:14:58 - mmengine - INFO - Epoch(val) [12][1380/6282] eta: 0:05:20 time: 0.0881 data_time: 0.0254 memory: 2934 2023/03/11 03:15:00 - mmengine - INFO - Epoch(val) [12][1400/6282] eta: 0:05:20 time: 0.0907 data_time: 0.0299 memory: 2934 2023/03/11 03:15:02 - mmengine - INFO - Epoch(val) [12][1420/6282] eta: 0:05:20 time: 0.0800 data_time: 0.0189 memory: 2934 2023/03/11 03:15:03 - mmengine - INFO - Epoch(val) [12][1440/6282] eta: 0:05:19 time: 0.0724 data_time: 0.0118 memory: 2934 2023/03/11 03:15:05 - mmengine - INFO - Epoch(val) [12][1460/6282] eta: 0:05:18 time: 0.0636 data_time: 0.0023 memory: 2934 2023/03/11 03:15:06 - mmengine - INFO - Epoch(val) [12][1480/6282] eta: 0:05:16 time: 0.0648 data_time: 0.0026 memory: 2934 2023/03/11 03:15:07 - mmengine - INFO - Epoch(val) [12][1500/6282] eta: 0:05:15 time: 0.0626 data_time: 0.0025 memory: 2934 2023/03/11 03:15:08 - mmengine - INFO - Epoch(val) [12][1520/6282] eta: 0:05:13 time: 0.0640 data_time: 0.0031 memory: 3958 2023/03/11 03:15:10 - mmengine - INFO - Epoch(val) [12][1540/6282] eta: 0:05:13 time: 0.0861 data_time: 0.0027 memory: 3958 2023/03/11 03:15:12 - mmengine - INFO - Epoch(val) [12][1560/6282] eta: 0:05:13 time: 0.0866 data_time: 0.0029 memory: 3958 2023/03/11 03:15:14 - mmengine - INFO - Epoch(val) [12][1580/6282] eta: 0:05:13 time: 0.0864 data_time: 0.0028 memory: 3958 2023/03/11 03:15:15 - mmengine - INFO - Epoch(val) [12][1600/6282] eta: 0:05:13 time: 0.0864 data_time: 0.0027 memory: 3958 2023/03/11 03:15:17 - mmengine - INFO - Epoch(val) [12][1620/6282] eta: 0:05:13 time: 0.0866 data_time: 0.0028 memory: 3958 2023/03/11 03:15:18 - mmengine - INFO - Epoch(val) [12][1640/6282] eta: 0:05:11 time: 0.0620 data_time: 0.0025 memory: 2934 2023/03/11 03:15:20 - mmengine - INFO - Epoch(val) [12][1660/6282] eta: 0:05:09 time: 0.0624 data_time: 0.0025 memory: 2934 2023/03/11 03:15:21 - mmengine - INFO - Epoch(val) [12][1680/6282] eta: 0:05:08 time: 0.0646 data_time: 0.0026 memory: 2934 2023/03/11 03:15:22 - mmengine - INFO - Epoch(val) [12][1700/6282] eta: 0:05:06 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/11 03:15:23 - mmengine - INFO - Epoch(val) [12][1720/6282] eta: 0:05:05 time: 0.0622 data_time: 0.0025 memory: 2934 2023/03/11 03:15:25 - mmengine - INFO - Epoch(val) [12][1740/6282] eta: 0:05:03 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 03:15:26 - mmengine - INFO - Epoch(val) [12][1760/6282] eta: 0:05:02 time: 0.0630 data_time: 0.0023 memory: 2934 2023/03/11 03:15:27 - mmengine - INFO - Epoch(val) [12][1780/6282] eta: 0:05:00 time: 0.0652 data_time: 0.0028 memory: 2934 2023/03/11 03:15:28 - mmengine - INFO - Epoch(val) [12][1800/6282] eta: 0:04:59 time: 0.0634 data_time: 0.0029 memory: 2934 2023/03/11 03:15:30 - mmengine - INFO - Epoch(val) [12][1820/6282] eta: 0:04:57 time: 0.0654 data_time: 0.0028 memory: 2934 2023/03/11 03:15:31 - mmengine - INFO - Epoch(val) [12][1840/6282] eta: 0:04:56 time: 0.0637 data_time: 0.0031 memory: 2934 2023/03/11 03:15:33 - mmengine - INFO - Epoch(val) [12][1860/6282] eta: 0:04:55 time: 0.0841 data_time: 0.0214 memory: 2934 2023/03/11 03:15:35 - mmengine - INFO - Epoch(val) [12][1880/6282] eta: 0:04:55 time: 0.0886 data_time: 0.0280 memory: 2934 2023/03/11 03:15:36 - mmengine - INFO - Epoch(val) [12][1900/6282] eta: 0:04:55 time: 0.0949 data_time: 0.0327 memory: 2934 2023/03/11 03:15:38 - mmengine - INFO - Epoch(val) [12][1920/6282] eta: 0:04:54 time: 0.0864 data_time: 0.0238 memory: 2934 2023/03/11 03:15:40 - mmengine - INFO - Epoch(val) [12][1940/6282] eta: 0:04:54 time: 0.0797 data_time: 0.0232 memory: 2934 2023/03/11 03:15:41 - mmengine - INFO - Epoch(val) [12][1960/6282] eta: 0:04:52 time: 0.0613 data_time: 0.0135 memory: 2397 2023/03/11 03:15:42 - mmengine - INFO - Epoch(val) [12][1980/6282] eta: 0:04:50 time: 0.0561 data_time: 0.0093 memory: 2397 2023/03/11 03:15:43 - mmengine - INFO - Epoch(val) [12][2000/6282] eta: 0:04:48 time: 0.0561 data_time: 0.0100 memory: 2397 2023/03/11 03:15:44 - mmengine - INFO - Epoch(val) [12][2020/6282] eta: 0:04:46 time: 0.0560 data_time: 0.0109 memory: 2397 2023/03/11 03:15:46 - mmengine - INFO - Epoch(val) [12][2040/6282] eta: 0:04:45 time: 0.0766 data_time: 0.0316 memory: 2397 2023/03/11 03:15:47 - mmengine - INFO - Epoch(val) [12][2060/6282] eta: 0:04:44 time: 0.0539 data_time: 0.0082 memory: 2397 2023/03/11 03:15:48 - mmengine - INFO - Epoch(val) [12][2080/6282] eta: 0:04:42 time: 0.0576 data_time: 0.0098 memory: 2397 2023/03/11 03:15:49 - mmengine - INFO - Epoch(val) [12][2100/6282] eta: 0:04:40 time: 0.0576 data_time: 0.0109 memory: 2397 2023/03/11 03:15:51 - mmengine - INFO - Epoch(val) [12][2120/6282] eta: 0:04:38 time: 0.0595 data_time: 0.0124 memory: 2397 2023/03/11 03:15:52 - mmengine - INFO - Epoch(val) [12][2140/6282] eta: 0:04:37 time: 0.0548 data_time: 0.0079 memory: 2397 2023/03/11 03:15:53 - mmengine - INFO - Epoch(val) [12][2160/6282] eta: 0:04:35 time: 0.0567 data_time: 0.0112 memory: 2396 2023/03/11 03:15:54 - mmengine - INFO - Epoch(val) [12][2180/6282] eta: 0:04:33 time: 0.0553 data_time: 0.0085 memory: 2396 2023/03/11 03:15:55 - mmengine - INFO - Epoch(val) [12][2200/6282] eta: 0:04:32 time: 0.0645 data_time: 0.0192 memory: 2396 2023/03/11 03:15:56 - mmengine - INFO - Epoch(val) [12][2220/6282] eta: 0:04:30 time: 0.0574 data_time: 0.0087 memory: 2396 2023/03/11 03:15:58 - mmengine - INFO - Epoch(val) [12][2240/6282] eta: 0:04:28 time: 0.0566 data_time: 0.0114 memory: 2396 2023/03/11 03:15:59 - mmengine - INFO - Epoch(val) [12][2260/6282] eta: 0:04:27 time: 0.0559 data_time: 0.0079 memory: 2397 2023/03/11 03:16:00 - mmengine - INFO - Epoch(val) [12][2280/6282] eta: 0:04:25 time: 0.0594 data_time: 0.0139 memory: 2397 2023/03/11 03:16:01 - mmengine - INFO - Epoch(val) [12][2300/6282] eta: 0:04:23 time: 0.0561 data_time: 0.0091 memory: 2397 2023/03/11 03:16:02 - mmengine - INFO - Epoch(val) [12][2320/6282] eta: 0:04:22 time: 0.0575 data_time: 0.0106 memory: 2397 2023/03/11 03:16:03 - mmengine - INFO - Epoch(val) [12][2340/6282] eta: 0:04:20 time: 0.0541 data_time: 0.0077 memory: 2397 2023/03/11 03:16:04 - mmengine - INFO - Epoch(val) [12][2360/6282] eta: 0:04:18 time: 0.0576 data_time: 0.0123 memory: 2396 2023/03/11 03:16:06 - mmengine - INFO - Epoch(val) [12][2380/6282] eta: 0:04:17 time: 0.0550 data_time: 0.0081 memory: 2396 2023/03/11 03:16:07 - mmengine - INFO - Epoch(val) [12][2400/6282] eta: 0:04:15 time: 0.0496 data_time: 0.0026 memory: 2396 2023/03/11 03:16:07 - mmengine - INFO - Epoch(val) [12][2420/6282] eta: 0:04:13 time: 0.0482 data_time: 0.0024 memory: 2396 2023/03/11 03:16:08 - mmengine - INFO - Epoch(val) [12][2440/6282] eta: 0:04:11 time: 0.0492 data_time: 0.0026 memory: 2396 2023/03/11 03:16:10 - mmengine - INFO - Epoch(val) [12][2460/6282] eta: 0:04:10 time: 0.0641 data_time: 0.0038 memory: 2934 2023/03/11 03:16:11 - mmengine - INFO - Epoch(val) [12][2480/6282] eta: 0:04:09 time: 0.0652 data_time: 0.0032 memory: 2934 2023/03/11 03:16:12 - mmengine - INFO - Epoch(val) [12][2500/6282] eta: 0:04:07 time: 0.0668 data_time: 0.0043 memory: 2934 2023/03/11 03:16:14 - mmengine - INFO - Epoch(val) [12][2520/6282] eta: 0:04:06 time: 0.0662 data_time: 0.0041 memory: 2934 2023/03/11 03:16:15 - mmengine - INFO - Epoch(val) [12][2540/6282] eta: 0:04:05 time: 0.0663 data_time: 0.0036 memory: 2934 2023/03/11 03:16:17 - mmengine - INFO - Epoch(val) [12][2560/6282] eta: 0:04:04 time: 0.0832 data_time: 0.0210 memory: 2934 2023/03/11 03:16:19 - mmengine - INFO - Epoch(val) [12][2580/6282] eta: 0:04:04 time: 0.1005 data_time: 0.0379 memory: 2934 2023/03/11 03:16:21 - mmengine - INFO - Epoch(val) [12][2600/6282] eta: 0:04:03 time: 0.0964 data_time: 0.0344 memory: 2934 2023/03/11 03:16:22 - mmengine - INFO - Epoch(val) [12][2620/6282] eta: 0:04:02 time: 0.0771 data_time: 0.0157 memory: 2934 2023/03/11 03:16:24 - mmengine - INFO - Epoch(val) [12][2640/6282] eta: 0:04:01 time: 0.0633 data_time: 0.0031 memory: 2934 2023/03/11 03:16:25 - mmengine - INFO - Epoch(val) [12][2660/6282] eta: 0:04:00 time: 0.0842 data_time: 0.0026 memory: 3842 2023/03/11 03:16:27 - mmengine - INFO - Epoch(val) [12][2680/6282] eta: 0:03:59 time: 0.0846 data_time: 0.0028 memory: 3842 2023/03/11 03:16:29 - mmengine - INFO - Epoch(val) [12][2700/6282] eta: 0:03:58 time: 0.0844 data_time: 0.0029 memory: 3842 2023/03/11 03:16:30 - mmengine - INFO - Epoch(val) [12][2720/6282] eta: 0:03:57 time: 0.0839 data_time: 0.0026 memory: 3842 2023/03/11 03:16:32 - mmengine - INFO - Epoch(val) [12][2740/6282] eta: 0:03:56 time: 0.0796 data_time: 0.0027 memory: 3842 2023/03/11 03:16:33 - mmengine - INFO - Epoch(val) [12][2760/6282] eta: 0:03:54 time: 0.0490 data_time: 0.0023 memory: 2397 2023/03/11 03:16:34 - mmengine - INFO - Epoch(val) [12][2780/6282] eta: 0:03:53 time: 0.0494 data_time: 0.0023 memory: 2397 2023/03/11 03:16:35 - mmengine - INFO - Epoch(val) [12][2800/6282] eta: 0:03:51 time: 0.0494 data_time: 0.0038 memory: 2397 2023/03/11 03:16:37 - mmengine - INFO - Epoch(val) [12][2820/6282] eta: 0:03:50 time: 0.0807 data_time: 0.0349 memory: 2397 2023/03/11 03:16:38 - mmengine - INFO - Epoch(val) [12][2840/6282] eta: 0:03:48 time: 0.0483 data_time: 0.0028 memory: 2397 2023/03/11 03:16:39 - mmengine - INFO - Epoch(val) [12][2860/6282] eta: 0:03:47 time: 0.0617 data_time: 0.0032 memory: 2934 2023/03/11 03:16:40 - mmengine - INFO - Epoch(val) [12][2880/6282] eta: 0:03:45 time: 0.0654 data_time: 0.0026 memory: 2934 2023/03/11 03:16:41 - mmengine - INFO - Epoch(val) [12][2900/6282] eta: 0:03:44 time: 0.0669 data_time: 0.0047 memory: 2934 2023/03/11 03:16:43 - mmengine - INFO - Epoch(val) [12][2920/6282] eta: 0:03:43 time: 0.0558 data_time: 0.0022 memory: 2934 2023/03/11 03:16:44 - mmengine - INFO - Epoch(val) [12][2940/6282] eta: 0:03:41 time: 0.0534 data_time: 0.0022 memory: 2609 2023/03/11 03:16:45 - mmengine - INFO - Epoch(val) [12][2960/6282] eta: 0:03:39 time: 0.0532 data_time: 0.0023 memory: 2609 2023/03/11 03:16:46 - mmengine - INFO - Epoch(val) [12][2980/6282] eta: 0:03:38 time: 0.0811 data_time: 0.0314 memory: 2609 2023/03/11 03:16:48 - mmengine - INFO - Epoch(val) [12][3000/6282] eta: 0:03:37 time: 0.0576 data_time: 0.0082 memory: 2609 2023/03/11 03:16:49 - mmengine - INFO - Epoch(val) [12][3020/6282] eta: 0:03:35 time: 0.0639 data_time: 0.0042 memory: 2934 2023/03/11 03:16:50 - mmengine - INFO - Epoch(val) [12][3040/6282] eta: 0:03:34 time: 0.0658 data_time: 0.0022 memory: 2934 2023/03/11 03:16:51 - mmengine - INFO - Epoch(val) [12][3060/6282] eta: 0:03:33 time: 0.0656 data_time: 0.0024 memory: 2934 2023/03/11 03:16:53 - mmengine - INFO - Epoch(val) [12][3080/6282] eta: 0:03:31 time: 0.0636 data_time: 0.0025 memory: 2934 2023/03/11 03:16:54 - mmengine - INFO - Epoch(val) [12][3100/6282] eta: 0:03:30 time: 0.0573 data_time: 0.0025 memory: 2934 2023/03/11 03:16:55 - mmengine - INFO - Epoch(val) [12][3120/6282] eta: 0:03:28 time: 0.0493 data_time: 0.0021 memory: 2397 2023/03/11 03:16:56 - mmengine - INFO - Epoch(val) [12][3140/6282] eta: 0:03:26 time: 0.0477 data_time: 0.0023 memory: 2397 2023/03/11 03:16:57 - mmengine - INFO - Epoch(val) [12][3160/6282] eta: 0:03:25 time: 0.0508 data_time: 0.0043 memory: 2397 2023/03/11 03:16:58 - mmengine - INFO - Epoch(val) [12][3180/6282] eta: 0:03:23 time: 0.0482 data_time: 0.0024 memory: 2397 2023/03/11 03:16:59 - mmengine - INFO - Epoch(val) [12][3200/6282] eta: 0:03:22 time: 0.0612 data_time: 0.0041 memory: 2934 2023/03/11 03:17:00 - mmengine - INFO - Epoch(val) [12][3220/6282] eta: 0:03:20 time: 0.0644 data_time: 0.0029 memory: 2934 2023/03/11 03:17:02 - mmengine - INFO - Epoch(val) [12][3240/6282] eta: 0:03:19 time: 0.0642 data_time: 0.0026 memory: 2934 2023/03/11 03:17:03 - mmengine - INFO - Epoch(val) [12][3260/6282] eta: 0:03:18 time: 0.0645 data_time: 0.0026 memory: 2934 2023/03/11 03:17:04 - mmengine - INFO - Epoch(val) [12][3280/6282] eta: 0:03:16 time: 0.0627 data_time: 0.0026 memory: 2934 2023/03/11 03:17:05 - mmengine - INFO - Epoch(val) [12][3300/6282] eta: 0:03:15 time: 0.0623 data_time: 0.0025 memory: 2934 2023/03/11 03:17:07 - mmengine - INFO - Epoch(val) [12][3320/6282] eta: 0:03:14 time: 0.0635 data_time: 0.0027 memory: 2934 2023/03/11 03:17:08 - mmengine - INFO - Epoch(val) [12][3340/6282] eta: 0:03:12 time: 0.0620 data_time: 0.0024 memory: 2934 2023/03/11 03:17:09 - mmengine - INFO - Epoch(val) [12][3360/6282] eta: 0:03:11 time: 0.0642 data_time: 0.0024 memory: 2934 2023/03/11 03:17:11 - mmengine - INFO - Epoch(val) [12][3380/6282] eta: 0:03:10 time: 0.0603 data_time: 0.0025 memory: 2934 2023/03/11 03:17:12 - mmengine - INFO - Epoch(val) [12][3400/6282] eta: 0:03:08 time: 0.0492 data_time: 0.0022 memory: 2396 2023/03/11 03:17:13 - mmengine - INFO - Epoch(val) [12][3420/6282] eta: 0:03:06 time: 0.0490 data_time: 0.0021 memory: 2396 2023/03/11 03:17:14 - mmengine - INFO - Epoch(val) [12][3440/6282] eta: 0:03:05 time: 0.0495 data_time: 0.0028 memory: 2396 2023/03/11 03:17:15 - mmengine - INFO - Epoch(val) [12][3460/6282] eta: 0:03:04 time: 0.0618 data_time: 0.0142 memory: 2396 2023/03/11 03:17:16 - mmengine - INFO - Epoch(val) [12][3480/6282] eta: 0:03:02 time: 0.0699 data_time: 0.0239 memory: 2396 2023/03/11 03:17:17 - mmengine - INFO - Epoch(val) [12][3500/6282] eta: 0:03:01 time: 0.0569 data_time: 0.0101 memory: 2396 2023/03/11 03:17:18 - mmengine - INFO - Epoch(val) [12][3520/6282] eta: 0:02:59 time: 0.0563 data_time: 0.0098 memory: 2396 2023/03/11 03:17:20 - mmengine - INFO - Epoch(val) [12][3540/6282] eta: 0:02:58 time: 0.0555 data_time: 0.0088 memory: 2396 2023/03/11 03:17:21 - mmengine - INFO - Epoch(val) [12][3560/6282] eta: 0:02:57 time: 0.0571 data_time: 0.0097 memory: 2396 2023/03/11 03:17:22 - mmengine - INFO - Epoch(val) [12][3580/6282] eta: 0:02:55 time: 0.0569 data_time: 0.0073 memory: 2765 2023/03/11 03:17:23 - mmengine - INFO - Epoch(val) [12][3600/6282] eta: 0:02:54 time: 0.0596 data_time: 0.0022 memory: 2765 2023/03/11 03:17:24 - mmengine - INFO - Epoch(val) [12][3620/6282] eta: 0:02:52 time: 0.0594 data_time: 0.0024 memory: 2765 2023/03/11 03:17:26 - mmengine - INFO - Epoch(val) [12][3640/6282] eta: 0:02:51 time: 0.0638 data_time: 0.0073 memory: 2765 2023/03/11 03:17:27 - mmengine - INFO - Epoch(val) [12][3660/6282] eta: 0:02:50 time: 0.0598 data_time: 0.0029 memory: 2765 2023/03/11 03:17:28 - mmengine - INFO - Epoch(val) [12][3680/6282] eta: 0:02:48 time: 0.0625 data_time: 0.0031 memory: 2934 2023/03/11 03:17:30 - mmengine - INFO - Epoch(val) [12][3700/6282] eta: 0:02:47 time: 0.0804 data_time: 0.0030 memory: 2934 2023/03/11 03:17:31 - mmengine - INFO - Epoch(val) [12][3720/6282] eta: 0:02:46 time: 0.0634 data_time: 0.0028 memory: 2934 2023/03/11 03:17:32 - mmengine - INFO - Epoch(val) [12][3740/6282] eta: 0:02:45 time: 0.0639 data_time: 0.0030 memory: 2934 2023/03/11 03:17:33 - mmengine - INFO - Epoch(val) [12][3760/6282] eta: 0:02:43 time: 0.0628 data_time: 0.0026 memory: 2934 2023/03/11 03:17:35 - mmengine - INFO - Epoch(val) [12][3780/6282] eta: 0:02:42 time: 0.0633 data_time: 0.0031 memory: 2934 2023/03/11 03:17:36 - mmengine - INFO - Epoch(val) [12][3800/6282] eta: 0:02:41 time: 0.0628 data_time: 0.0026 memory: 2934 2023/03/11 03:17:37 - mmengine - INFO - Epoch(val) [12][3820/6282] eta: 0:02:39 time: 0.0633 data_time: 0.0029 memory: 2934 2023/03/11 03:17:39 - mmengine - INFO - Epoch(val) [12][3840/6282] eta: 0:02:38 time: 0.0629 data_time: 0.0028 memory: 2934 2023/03/11 03:17:40 - mmengine - INFO - Epoch(val) [12][3860/6282] eta: 0:02:37 time: 0.0625 data_time: 0.0026 memory: 2934 2023/03/11 03:17:41 - mmengine - INFO - Epoch(val) [12][3880/6282] eta: 0:02:35 time: 0.0628 data_time: 0.0027 memory: 2934 2023/03/11 03:17:42 - mmengine - INFO - Epoch(val) [12][3900/6282] eta: 0:02:34 time: 0.0622 data_time: 0.0026 memory: 2934 2023/03/11 03:17:44 - mmengine - INFO - Epoch(val) [12][3920/6282] eta: 0:02:33 time: 0.0618 data_time: 0.0024 memory: 2934 2023/03/11 03:17:45 - mmengine - INFO - Epoch(val) [12][3940/6282] eta: 0:02:31 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/11 03:17:46 - mmengine - INFO - Epoch(val) [12][3960/6282] eta: 0:02:30 time: 0.0619 data_time: 0.0024 memory: 2934 2023/03/11 03:17:47 - mmengine - INFO - Epoch(val) [12][3980/6282] eta: 0:02:29 time: 0.0638 data_time: 0.0025 memory: 2934 2023/03/11 03:17:49 - mmengine - INFO - Epoch(val) [12][4000/6282] eta: 0:02:27 time: 0.0621 data_time: 0.0025 memory: 2934 2023/03/11 03:17:50 - mmengine - INFO - Epoch(val) [12][4020/6282] eta: 0:02:26 time: 0.0619 data_time: 0.0024 memory: 2934 2023/03/11 03:17:51 - mmengine - INFO - Epoch(val) [12][4040/6282] eta: 0:02:25 time: 0.0651 data_time: 0.0023 memory: 3842 2023/03/11 03:17:53 - mmengine - INFO - Epoch(val) [12][4060/6282] eta: 0:02:24 time: 0.1004 data_time: 0.0027 memory: 3842 2023/03/11 03:17:55 - mmengine - INFO - Epoch(val) [12][4080/6282] eta: 0:02:23 time: 0.0839 data_time: 0.0027 memory: 3842 2023/03/11 03:17:57 - mmengine - INFO - Epoch(val) [12][4100/6282] eta: 0:02:22 time: 0.0843 data_time: 0.0028 memory: 3842 2023/03/11 03:17:58 - mmengine - INFO - Epoch(val) [12][4120/6282] eta: 0:02:21 time: 0.0844 data_time: 0.0028 memory: 3842 2023/03/11 03:18:00 - mmengine - INFO - Epoch(val) [12][4140/6282] eta: 0:02:19 time: 0.0724 data_time: 0.0027 memory: 3842 2023/03/11 03:18:01 - mmengine - INFO - Epoch(val) [12][4160/6282] eta: 0:02:18 time: 0.0490 data_time: 0.0022 memory: 2396 2023/03/11 03:18:02 - mmengine - INFO - Epoch(val) [12][4180/6282] eta: 0:02:16 time: 0.0476 data_time: 0.0022 memory: 2396 2023/03/11 03:18:03 - mmengine - INFO - Epoch(val) [12][4200/6282] eta: 0:02:15 time: 0.0536 data_time: 0.0080 memory: 2396 2023/03/11 03:18:04 - mmengine - INFO - Epoch(val) [12][4220/6282] eta: 0:02:14 time: 0.0586 data_time: 0.0124 memory: 2396 2023/03/11 03:18:05 - mmengine - INFO - Epoch(val) [12][4240/6282] eta: 0:02:12 time: 0.0552 data_time: 0.0097 memory: 2396 2023/03/11 03:18:06 - mmengine - INFO - Epoch(val) [12][4260/6282] eta: 0:02:11 time: 0.0674 data_time: 0.0209 memory: 2396 2023/03/11 03:18:07 - mmengine - INFO - Epoch(val) [12][4280/6282] eta: 0:02:10 time: 0.0548 data_time: 0.0092 memory: 2396 2023/03/11 03:18:09 - mmengine - INFO - Epoch(val) [12][4300/6282] eta: 0:02:08 time: 0.0577 data_time: 0.0125 memory: 2396 2023/03/11 03:18:10 - mmengine - INFO - Epoch(val) [12][4320/6282] eta: 0:02:07 time: 0.0552 data_time: 0.0088 memory: 2396 2023/03/11 03:18:11 - mmengine - INFO - Epoch(val) [12][4340/6282] eta: 0:02:05 time: 0.0579 data_time: 0.0118 memory: 2396 2023/03/11 03:18:12 - mmengine - INFO - Epoch(val) [12][4360/6282] eta: 0:02:04 time: 0.0631 data_time: 0.0023 memory: 2934 2023/03/11 03:18:13 - mmengine - INFO - Epoch(val) [12][4380/6282] eta: 0:02:03 time: 0.0625 data_time: 0.0026 memory: 2934 2023/03/11 03:18:15 - mmengine - INFO - Epoch(val) [12][4400/6282] eta: 0:02:01 time: 0.0624 data_time: 0.0026 memory: 2934 2023/03/11 03:18:16 - mmengine - INFO - Epoch(val) [12][4420/6282] eta: 0:02:00 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 03:18:18 - mmengine - INFO - Epoch(val) [12][4440/6282] eta: 0:01:59 time: 0.0992 data_time: 0.0118 memory: 3023 2023/03/11 03:18:19 - mmengine - INFO - Epoch(val) [12][4460/6282] eta: 0:01:58 time: 0.0646 data_time: 0.0023 memory: 3023 2023/03/11 03:18:21 - mmengine - INFO - Epoch(val) [12][4480/6282] eta: 0:01:57 time: 0.0652 data_time: 0.0025 memory: 3023 2023/03/11 03:18:22 - mmengine - INFO - Epoch(val) [12][4500/6282] eta: 0:01:55 time: 0.0654 data_time: 0.0024 memory: 3023 2023/03/11 03:18:23 - mmengine - INFO - Epoch(val) [12][4520/6282] eta: 0:01:54 time: 0.0615 data_time: 0.0024 memory: 3023 2023/03/11 03:18:24 - mmengine - INFO - Epoch(val) [12][4540/6282] eta: 0:01:53 time: 0.0505 data_time: 0.0022 memory: 2464 2023/03/11 03:18:25 - mmengine - INFO - Epoch(val) [12][4560/6282] eta: 0:01:51 time: 0.0503 data_time: 0.0023 memory: 2464 2023/03/11 03:18:26 - mmengine - INFO - Epoch(val) [12][4580/6282] eta: 0:01:50 time: 0.0493 data_time: 0.0028 memory: 2464 2023/03/11 03:18:27 - mmengine - INFO - Epoch(val) [12][4600/6282] eta: 0:01:48 time: 0.0563 data_time: 0.0067 memory: 2464 2023/03/11 03:18:28 - mmengine - INFO - Epoch(val) [12][4620/6282] eta: 0:01:47 time: 0.0541 data_time: 0.0077 memory: 2464 2023/03/11 03:18:30 - mmengine - INFO - Epoch(val) [12][4640/6282] eta: 0:01:46 time: 0.0656 data_time: 0.0024 memory: 3023 2023/03/11 03:18:31 - mmengine - INFO - Epoch(val) [12][4660/6282] eta: 0:01:44 time: 0.0661 data_time: 0.0024 memory: 3023 2023/03/11 03:18:32 - mmengine - INFO - Epoch(val) [12][4680/6282] eta: 0:01:43 time: 0.0649 data_time: 0.0026 memory: 3023 2023/03/11 03:18:34 - mmengine - INFO - Epoch(val) [12][4700/6282] eta: 0:01:42 time: 0.0643 data_time: 0.0024 memory: 3023 2023/03/11 03:18:35 - mmengine - INFO - Epoch(val) [12][4720/6282] eta: 0:01:40 time: 0.0626 data_time: 0.0024 memory: 3023 2023/03/11 03:18:36 - mmengine - INFO - Epoch(val) [12][4740/6282] eta: 0:01:39 time: 0.0644 data_time: 0.0133 memory: 2609 2023/03/11 03:18:37 - mmengine - INFO - Epoch(val) [12][4760/6282] eta: 0:01:38 time: 0.0540 data_time: 0.0023 memory: 2609 2023/03/11 03:18:38 - mmengine - INFO - Epoch(val) [12][4780/6282] eta: 0:01:36 time: 0.0520 data_time: 0.0025 memory: 2609 2023/03/11 03:18:39 - mmengine - INFO - Epoch(val) [12][4800/6282] eta: 0:01:35 time: 0.0532 data_time: 0.0023 memory: 2609 2023/03/11 03:18:41 - mmengine - INFO - Epoch(val) [12][4820/6282] eta: 0:01:34 time: 0.0570 data_time: 0.0025 memory: 2934 2023/03/11 03:18:42 - mmengine - INFO - Epoch(val) [12][4840/6282] eta: 0:01:32 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/11 03:18:43 - mmengine - INFO - Epoch(val) [12][4860/6282] eta: 0:01:31 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/11 03:18:44 - mmengine - INFO - Epoch(val) [12][4880/6282] eta: 0:01:30 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 03:18:46 - mmengine - INFO - Epoch(val) [12][4900/6282] eta: 0:01:29 time: 0.0631 data_time: 0.0024 memory: 2934 2023/03/11 03:18:47 - mmengine - INFO - Epoch(val) [12][4920/6282] eta: 0:01:27 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 03:18:48 - mmengine - INFO - Epoch(val) [12][4940/6282] eta: 0:01:26 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/11 03:18:49 - mmengine - INFO - Epoch(val) [12][4960/6282] eta: 0:01:25 time: 0.0634 data_time: 0.0024 memory: 2934 2023/03/11 03:18:51 - mmengine - INFO - Epoch(val) [12][4980/6282] eta: 0:01:23 time: 0.0660 data_time: 0.0024 memory: 2934 2023/03/11 03:18:52 - mmengine - INFO - Epoch(val) [12][5000/6282] eta: 0:01:22 time: 0.0641 data_time: 0.0024 memory: 2934 2023/03/11 03:18:53 - mmengine - INFO - Epoch(val) [12][5020/6282] eta: 0:01:21 time: 0.0562 data_time: 0.0025 memory: 2934 2023/03/11 03:18:54 - mmengine - INFO - Epoch(val) [12][5040/6282] eta: 0:01:19 time: 0.0497 data_time: 0.0023 memory: 2397 2023/03/11 03:18:55 - mmengine - INFO - Epoch(val) [12][5060/6282] eta: 0:01:18 time: 0.0489 data_time: 0.0023 memory: 2397 2023/03/11 03:18:56 - mmengine - INFO - Epoch(val) [12][5080/6282] eta: 0:01:17 time: 0.0606 data_time: 0.0147 memory: 2397 2023/03/11 03:18:57 - mmengine - INFO - Epoch(val) [12][5100/6282] eta: 0:01:15 time: 0.0561 data_time: 0.0100 memory: 2397 2023/03/11 03:18:59 - mmengine - INFO - Epoch(val) [12][5120/6282] eta: 0:01:14 time: 0.0588 data_time: 0.0114 memory: 2397 2023/03/11 03:19:00 - mmengine - INFO - Epoch(val) [12][5140/6282] eta: 0:01:13 time: 0.0555 data_time: 0.0083 memory: 2396 2023/03/11 03:19:01 - mmengine - INFO - Epoch(val) [12][5160/6282] eta: 0:01:11 time: 0.0593 data_time: 0.0138 memory: 2396 2023/03/11 03:19:02 - mmengine - INFO - Epoch(val) [12][5180/6282] eta: 0:01:10 time: 0.0538 data_time: 0.0084 memory: 2396 2023/03/11 03:19:03 - mmengine - INFO - Epoch(val) [12][5200/6282] eta: 0:01:09 time: 0.0593 data_time: 0.0132 memory: 2396 2023/03/11 03:19:04 - mmengine - INFO - Epoch(val) [12][5220/6282] eta: 0:01:08 time: 0.0541 data_time: 0.0084 memory: 2396 2023/03/11 03:19:06 - mmengine - INFO - Epoch(val) [12][5240/6282] eta: 0:01:06 time: 0.0651 data_time: 0.0169 memory: 2396 2023/03/11 03:19:07 - mmengine - INFO - Epoch(val) [12][5260/6282] eta: 0:01:05 time: 0.0530 data_time: 0.0071 memory: 2396 2023/03/11 03:19:08 - mmengine - INFO - Epoch(val) [12][5280/6282] eta: 0:01:04 time: 0.0601 data_time: 0.0117 memory: 2396 2023/03/11 03:19:09 - mmengine - INFO - Epoch(val) [12][5300/6282] eta: 0:01:02 time: 0.0556 data_time: 0.0084 memory: 2396 2023/03/11 03:19:10 - mmengine - INFO - Epoch(val) [12][5320/6282] eta: 0:01:01 time: 0.0590 data_time: 0.0140 memory: 2396 2023/03/11 03:19:11 - mmengine - INFO - Epoch(val) [12][5340/6282] eta: 0:01:00 time: 0.0574 data_time: 0.0122 memory: 2396 2023/03/11 03:19:13 - mmengine - INFO - Epoch(val) [12][5360/6282] eta: 0:00:58 time: 0.0574 data_time: 0.0101 memory: 2396 2023/03/11 03:19:14 - mmengine - INFO - Epoch(val) [12][5380/6282] eta: 0:00:57 time: 0.0544 data_time: 0.0070 memory: 2396 2023/03/11 03:19:15 - mmengine - INFO - Epoch(val) [12][5400/6282] eta: 0:00:56 time: 0.0588 data_time: 0.0113 memory: 2396 2023/03/11 03:19:16 - mmengine - INFO - Epoch(val) [12][5420/6282] eta: 0:00:55 time: 0.0608 data_time: 0.0156 memory: 2396 2023/03/11 03:19:17 - mmengine - INFO - Epoch(val) [12][5440/6282] eta: 0:00:53 time: 0.0577 data_time: 0.0104 memory: 2396 2023/03/11 03:19:18 - mmengine - INFO - Epoch(val) [12][5460/6282] eta: 0:00:52 time: 0.0509 data_time: 0.0056 memory: 2396 2023/03/11 03:19:19 - mmengine - INFO - Epoch(val) [12][5480/6282] eta: 0:00:51 time: 0.0560 data_time: 0.0107 memory: 2396 2023/03/11 03:19:21 - mmengine - INFO - Epoch(val) [12][5500/6282] eta: 0:00:49 time: 0.0574 data_time: 0.0123 memory: 2396 2023/03/11 03:19:22 - mmengine - INFO - Epoch(val) [12][5520/6282] eta: 0:00:48 time: 0.0604 data_time: 0.0120 memory: 2608 2023/03/11 03:19:23 - mmengine - INFO - Epoch(val) [12][5540/6282] eta: 0:00:47 time: 0.0547 data_time: 0.0051 memory: 2608 2023/03/11 03:19:24 - mmengine - INFO - Epoch(val) [12][5560/6282] eta: 0:00:45 time: 0.0579 data_time: 0.0087 memory: 2608 2023/03/11 03:19:25 - mmengine - INFO - Epoch(val) [12][5580/6282] eta: 0:00:44 time: 0.0559 data_time: 0.0065 memory: 2608 2023/03/11 03:19:26 - mmengine - INFO - Epoch(val) [12][5600/6282] eta: 0:00:43 time: 0.0619 data_time: 0.0092 memory: 2608 2023/03/11 03:19:28 - mmengine - INFO - Epoch(val) [12][5620/6282] eta: 0:00:42 time: 0.0560 data_time: 0.0092 memory: 2608 2023/03/11 03:19:29 - mmengine - INFO - Epoch(val) [12][5640/6282] eta: 0:00:40 time: 0.0577 data_time: 0.0122 memory: 2396 2023/03/11 03:19:30 - mmengine - INFO - Epoch(val) [12][5660/6282] eta: 0:00:39 time: 0.0547 data_time: 0.0096 memory: 2396 2023/03/11 03:19:31 - mmengine - INFO - Epoch(val) [12][5680/6282] eta: 0:00:38 time: 0.0631 data_time: 0.0166 memory: 2396 2023/03/11 03:19:32 - mmengine - INFO - Epoch(val) [12][5700/6282] eta: 0:00:36 time: 0.0562 data_time: 0.0102 memory: 2396 2023/03/11 03:19:33 - mmengine - INFO - Epoch(val) [12][5720/6282] eta: 0:00:35 time: 0.0597 data_time: 0.0108 memory: 2686 2023/03/11 03:19:35 - mmengine - INFO - Epoch(val) [12][5740/6282] eta: 0:00:34 time: 0.0566 data_time: 0.0019 memory: 2686 2023/03/11 03:19:36 - mmengine - INFO - Epoch(val) [12][5760/6282] eta: 0:00:33 time: 0.0713 data_time: 0.0159 memory: 2686 2023/03/11 03:19:37 - mmengine - INFO - Epoch(val) [12][5780/6282] eta: 0:00:31 time: 0.0563 data_time: 0.0019 memory: 2686 2023/03/11 03:19:38 - mmengine - INFO - Epoch(val) [12][5800/6282] eta: 0:00:30 time: 0.0578 data_time: 0.0023 memory: 2686 2023/03/11 03:19:39 - mmengine - INFO - Epoch(val) [12][5820/6282] eta: 0:00:29 time: 0.0552 data_time: 0.0021 memory: 2686 2023/03/11 03:19:40 - mmengine - INFO - Epoch(val) [12][5840/6282] eta: 0:00:28 time: 0.0547 data_time: 0.0022 memory: 2608 2023/03/11 03:19:42 - mmengine - INFO - Epoch(val) [12][5860/6282] eta: 0:00:26 time: 0.0523 data_time: 0.0019 memory: 2608 2023/03/11 03:19:43 - mmengine - INFO - Epoch(val) [12][5880/6282] eta: 0:00:25 time: 0.0596 data_time: 0.0103 memory: 2608 2023/03/11 03:19:44 - mmengine - INFO - Epoch(val) [12][5900/6282] eta: 0:00:24 time: 0.0557 data_time: 0.0046 memory: 2608 2023/03/11 03:19:45 - mmengine - INFO - Epoch(val) [12][5920/6282] eta: 0:00:22 time: 0.0549 data_time: 0.0068 memory: 2608 2023/03/11 03:19:46 - mmengine - INFO - Epoch(val) [12][5940/6282] eta: 0:00:21 time: 0.0581 data_time: 0.0077 memory: 2396 2023/03/11 03:19:47 - mmengine - INFO - Epoch(val) [12][5960/6282] eta: 0:00:20 time: 0.0536 data_time: 0.0066 memory: 2396 2023/03/11 03:19:48 - mmengine - INFO - Epoch(val) [12][5980/6282] eta: 0:00:19 time: 0.0492 data_time: 0.0020 memory: 2396 2023/03/11 03:19:49 - mmengine - INFO - Epoch(val) [12][6000/6282] eta: 0:00:17 time: 0.0584 data_time: 0.0022 memory: 2934 2023/03/11 03:19:51 - mmengine - INFO - Epoch(val) [12][6020/6282] eta: 0:00:16 time: 0.0633 data_time: 0.0025 memory: 2934 2023/03/11 03:19:52 - mmengine - INFO - Epoch(val) [12][6040/6282] eta: 0:00:15 time: 0.0630 data_time: 0.0026 memory: 2934 2023/03/11 03:19:53 - mmengine - INFO - Epoch(val) [12][6060/6282] eta: 0:00:14 time: 0.0631 data_time: 0.0028 memory: 2934 2023/03/11 03:19:54 - mmengine - INFO - Epoch(val) [12][6080/6282] eta: 0:00:12 time: 0.0636 data_time: 0.0029 memory: 2934 2023/03/11 03:19:56 - mmengine - INFO - Epoch(val) [12][6100/6282] eta: 0:00:11 time: 0.0636 data_time: 0.0029 memory: 2934 2023/03/11 03:19:57 - mmengine - INFO - Epoch(val) [12][6120/6282] eta: 0:00:10 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/11 03:19:58 - mmengine - INFO - Epoch(val) [12][6140/6282] eta: 0:00:08 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/11 03:20:00 - mmengine - INFO - Epoch(val) [12][6160/6282] eta: 0:00:07 time: 0.0621 data_time: 0.0022 memory: 2934 2023/03/11 03:20:01 - mmengine - INFO - Epoch(val) [12][6180/6282] eta: 0:00:06 time: 0.0619 data_time: 0.0022 memory: 2934 2023/03/11 03:20:02 - mmengine - INFO - Epoch(val) [12][6200/6282] eta: 0:00:05 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/11 03:20:03 - mmengine - INFO - Epoch(val) [12][6220/6282] eta: 0:00:03 time: 0.0615 data_time: 0.0021 memory: 2934 2023/03/11 03:20:05 - mmengine - INFO - Epoch(val) [12][6240/6282] eta: 0:00:02 time: 0.0634 data_time: 0.0021 memory: 2934 2023/03/11 03:20:06 - mmengine - INFO - Epoch(val) [12][6260/6282] eta: 0:00:01 time: 0.0633 data_time: 0.0020 memory: 2934 2023/03/11 03:20:07 - mmengine - INFO - Epoch(val) [12][6280/6282] eta: 0:00:00 time: 0.0608 data_time: 0.0018 memory: 2934 2023/03/11 03:22:31 - mmengine - INFO - Epoch(val) [12][6282/6282] mAP/mAP@0.5IOU: 0.3345 2023/03/11 03:22:49 - mmengine - INFO - Epoch(train) [13][ 20/4451] lr: 1.6387e-06 eta: 6:37:17 time: 0.8757 data_time: 0.4135 memory: 51970 grad_norm: 0.1312 loss: 0.0343 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.7428 recall@top3: 0.8514 prec@top3: 0.6812 recall@top5: 0.9891 prec@top5: 0.5043 loss_action_cls: 0.0343 2023/03/11 03:23:01 - mmengine - INFO - Epoch(train) [13][ 40/4451] lr: 1.6373e-06 eta: 6:37:03 time: 0.6041 data_time: 0.0237 memory: 51970 grad_norm: 0.1320 loss: 0.0303 recall@thr=0.5: 0.8359 prec@thr=0.5: 0.8333 recall@top3: 0.8672 prec@top3: 0.6458 recall@top5: 0.9766 prec@top5: 0.4562 loss_action_cls: 0.0303 2023/03/11 03:23:14 - mmengine - INFO - Epoch(train) [13][ 60/4451] lr: 1.6359e-06 eta: 6:36:49 time: 0.6542 data_time: 0.0909 memory: 51970 grad_norm: 0.1331 loss: 0.0299 recall@thr=0.5: 0.4904 prec@thr=0.5: 0.5991 recall@top3: 0.6158 prec@top3: 0.5965 recall@top5: 0.8693 prec@top5: 0.5158 loss_action_cls: 0.0299 2023/03/11 03:23:27 - mmengine - INFO - Epoch(train) [13][ 80/4451] lr: 1.6345e-06 eta: 6:36:36 time: 0.6452 data_time: 0.0378 memory: 51970 grad_norm: 0.1315 loss: 0.0333 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8137 recall@top3: 0.9412 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0333 2023/03/11 03:23:39 - mmengine - INFO - Epoch(train) [13][ 100/4451] lr: 1.6332e-06 eta: 6:36:22 time: 0.6230 data_time: 0.0259 memory: 51970 grad_norm: 0.1373 loss: 0.0337 recall@thr=0.5: 0.8281 prec@thr=0.5: 0.7396 recall@top3: 0.8438 prec@top3: 0.7292 recall@top5: 0.9844 prec@top5: 0.5375 loss_action_cls: 0.0337 2023/03/11 03:23:52 - mmengine - INFO - Epoch(train) [13][ 120/4451] lr: 1.6318e-06 eta: 6:36:08 time: 0.6311 data_time: 0.0906 memory: 51970 grad_norm: 0.1333 loss: 0.0301 recall@thr=0.5: 0.7276 prec@thr=0.5: 0.7744 recall@top3: 0.8910 prec@top3: 0.7821 recall@top5: 1.0000 prec@top5: 0.5462 loss_action_cls: 0.0301 2023/03/11 03:24:06 - mmengine - INFO - Epoch(train) [13][ 140/4451] lr: 1.6304e-06 eta: 6:35:55 time: 0.6996 data_time: 0.1062 memory: 51970 grad_norm: 0.1336 loss: 0.0303 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.8933 recall@top3: 0.8933 prec@top3: 0.5333 recall@top5: 0.9600 prec@top5: 0.3440 loss_action_cls: 0.0303 2023/03/11 03:24:18 - mmengine - INFO - Epoch(train) [13][ 160/4451] lr: 1.6290e-06 eta: 6:35:41 time: 0.6023 data_time: 0.0730 memory: 51970 grad_norm: 0.1351 loss: 0.0324 recall@thr=0.5: 0.9042 prec@thr=0.5: 0.9083 recall@top3: 0.9042 prec@top3: 0.6333 recall@top5: 1.0000 prec@top5: 0.4300 loss_action_cls: 0.0324 2023/03/11 03:24:31 - mmengine - INFO - Epoch(train) [13][ 180/4451] lr: 1.6276e-06 eta: 6:35:27 time: 0.6446 data_time: 0.1036 memory: 51970 grad_norm: 0.1356 loss: 0.0286 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.9118 recall@top3: 0.9412 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4235 loss_action_cls: 0.0286 2023/03/11 03:24:42 - mmengine - INFO - Epoch(train) [13][ 200/4451] lr: 1.6262e-06 eta: 6:35:12 time: 0.5687 data_time: 0.1105 memory: 51970 grad_norm: 0.1300 loss: 0.0295 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.8080 recall@top3: 0.8478 prec@top3: 0.7681 recall@top5: 0.9783 prec@top5: 0.5304 loss_action_cls: 0.0295 2023/03/11 03:24:56 - mmengine - INFO - Epoch(train) [13][ 220/4451] lr: 1.6248e-06 eta: 6:34:59 time: 0.6781 data_time: 0.1997 memory: 51970 grad_norm: 0.1358 loss: 0.0291 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6282 recall@top3: 0.8718 prec@top3: 0.6410 recall@top5: 0.9744 prec@top5: 0.4308 loss_action_cls: 0.0291 2023/03/11 03:25:09 - mmengine - INFO - Epoch(train) [13][ 240/4451] lr: 1.6234e-06 eta: 6:34:45 time: 0.6540 data_time: 0.1326 memory: 51970 grad_norm: 0.1334 loss: 0.0340 recall@thr=0.5: 0.5907 prec@thr=0.5: 0.7267 recall@top3: 0.7113 prec@top3: 0.7600 recall@top5: 0.8867 prec@top5: 0.5840 loss_action_cls: 0.0340 2023/03/11 03:25:21 - mmengine - INFO - Epoch(train) [13][ 260/4451] lr: 1.6220e-06 eta: 6:34:31 time: 0.6233 data_time: 0.0372 memory: 51970 grad_norm: 0.1352 loss: 0.0321 recall@thr=0.5: 0.9583 prec@thr=0.5: 0.8715 recall@top3: 0.9479 prec@top3: 0.8056 recall@top5: 0.9792 prec@top5: 0.5083 loss_action_cls: 0.0321 2023/03/11 03:25:34 - mmengine - INFO - Epoch(train) [13][ 280/4451] lr: 1.6206e-06 eta: 6:34:18 time: 0.6549 data_time: 0.0112 memory: 51970 grad_norm: 0.1318 loss: 0.0326 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6667 recall@top3: 0.8095 prec@top3: 0.6190 recall@top5: 0.9325 prec@top5: 0.4381 loss_action_cls: 0.0326 2023/03/11 03:25:48 - mmengine - INFO - Epoch(train) [13][ 300/4451] lr: 1.6192e-06 eta: 6:34:04 time: 0.6692 data_time: 0.0217 memory: 51970 grad_norm: 0.1337 loss: 0.0314 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7460 recall@top3: 0.8175 prec@top3: 0.5714 recall@top5: 0.8968 prec@top5: 0.3810 loss_action_cls: 0.0314 2023/03/11 03:26:01 - mmengine - INFO - Epoch(train) [13][ 320/4451] lr: 1.6179e-06 eta: 6:33:51 time: 0.6680 data_time: 0.0111 memory: 51970 grad_norm: 0.1297 loss: 0.0315 recall@thr=0.5: 0.7456 prec@thr=0.5: 0.8553 recall@top3: 0.8509 prec@top3: 0.6316 recall@top5: 0.9649 prec@top5: 0.4316 loss_action_cls: 0.0315 2023/03/11 03:26:14 - mmengine - INFO - Epoch(train) [13][ 340/4451] lr: 1.6165e-06 eta: 6:33:37 time: 0.6541 data_time: 0.0131 memory: 51970 grad_norm: 0.1308 loss: 0.0294 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.8533 recall@top3: 0.8800 prec@top3: 0.5600 recall@top5: 0.9200 prec@top5: 0.3520 loss_action_cls: 0.0294 2023/03/11 03:26:28 - mmengine - INFO - Epoch(train) [13][ 360/4451] lr: 1.6151e-06 eta: 6:33:24 time: 0.6743 data_time: 0.0119 memory: 51970 grad_norm: 0.1287 loss: 0.0292 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7193 recall@top3: 0.7281 prec@top3: 0.6491 recall@top5: 0.8246 prec@top5: 0.4421 loss_action_cls: 0.0292 2023/03/11 03:26:40 - mmengine - INFO - Epoch(train) [13][ 380/4451] lr: 1.6137e-06 eta: 6:33:10 time: 0.6134 data_time: 0.0126 memory: 51970 grad_norm: 0.1310 loss: 0.0267 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5729 recall@top3: 0.8438 prec@top3: 0.6667 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0267 2023/03/11 03:26:52 - mmengine - INFO - Epoch(train) [13][ 400/4451] lr: 1.6123e-06 eta: 6:32:56 time: 0.6260 data_time: 0.0117 memory: 51970 grad_norm: 0.1352 loss: 0.0310 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7143 recall@top3: 0.7857 prec@top3: 0.5476 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0310 2023/03/11 03:27:05 - mmengine - INFO - Epoch(train) [13][ 420/4451] lr: 1.6109e-06 eta: 6:32:42 time: 0.6330 data_time: 0.0140 memory: 51970 grad_norm: 0.1336 loss: 0.0303 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.7193 recall@top3: 0.8816 prec@top3: 0.6842 recall@top5: 0.9649 prec@top5: 0.4421 loss_action_cls: 0.0303 2023/03/11 03:27:17 - mmengine - INFO - Epoch(train) [13][ 440/4451] lr: 1.6095e-06 eta: 6:32:28 time: 0.6146 data_time: 0.0122 memory: 51970 grad_norm: 0.1287 loss: 0.0325 recall@thr=0.5: 0.7696 prec@thr=0.5: 0.8431 recall@top3: 0.8775 prec@top3: 0.7059 recall@top5: 0.9510 prec@top5: 0.4706 loss_action_cls: 0.0325 2023/03/11 03:27:30 - mmengine - INFO - Epoch(train) [13][ 460/4451] lr: 1.6081e-06 eta: 6:32:14 time: 0.6275 data_time: 0.0133 memory: 51970 grad_norm: 0.1385 loss: 0.0321 recall@thr=0.5: 0.6643 prec@thr=0.5: 0.8143 recall@top3: 0.6857 prec@top3: 0.5238 recall@top5: 0.8429 prec@top5: 0.4286 loss_action_cls: 0.0321 2023/03/11 03:27:44 - mmengine - INFO - Epoch(train) [13][ 480/4451] lr: 1.6067e-06 eta: 6:32:01 time: 0.7004 data_time: 0.0128 memory: 51970 grad_norm: 0.1287 loss: 0.0301 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8444 recall@top3: 0.8556 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0301 2023/03/11 03:27:58 - mmengine - INFO - Epoch(train) [13][ 500/4451] lr: 1.6053e-06 eta: 6:31:48 time: 0.6954 data_time: 0.0131 memory: 51970 grad_norm: 0.1347 loss: 0.0333 recall@thr=0.5: 0.9510 prec@thr=0.5: 0.8824 recall@top3: 0.9039 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0333 2023/03/11 03:28:11 - mmengine - INFO - Epoch(train) [13][ 520/4451] lr: 1.6039e-06 eta: 6:31:34 time: 0.6672 data_time: 0.0118 memory: 51970 grad_norm: 0.1345 loss: 0.0325 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.6927 recall@top3: 0.8438 prec@top3: 0.6771 recall@top5: 0.9635 prec@top5: 0.4812 loss_action_cls: 0.0325 2023/03/11 03:28:23 - mmengine - INFO - Epoch(train) [13][ 540/4451] lr: 1.6025e-06 eta: 6:31:20 time: 0.6133 data_time: 0.0134 memory: 51970 grad_norm: 0.1334 loss: 0.0336 recall@thr=0.5: 0.6707 prec@thr=0.5: 0.6748 recall@top3: 0.8659 prec@top3: 0.6098 recall@top5: 0.9390 prec@top5: 0.4049 loss_action_cls: 0.0336 2023/03/11 03:28:37 - mmengine - INFO - Epoch(train) [13][ 560/4451] lr: 1.6011e-06 eta: 6:31:07 time: 0.6701 data_time: 0.0122 memory: 51970 grad_norm: 0.1360 loss: 0.0313 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7667 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.9000 prec@top5: 0.3867 loss_action_cls: 0.0313 2023/03/11 03:28:49 - mmengine - INFO - Epoch(train) [13][ 580/4451] lr: 1.5998e-06 eta: 6:30:52 time: 0.5825 data_time: 0.0129 memory: 51970 grad_norm: 0.1315 loss: 0.0312 recall@thr=0.5: 0.6370 prec@thr=0.5: 0.6852 recall@top3: 0.7944 prec@top3: 0.7160 recall@top5: 0.9352 prec@top5: 0.5333 loss_action_cls: 0.0312 2023/03/11 03:28:54 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 03:29:02 - mmengine - INFO - Epoch(train) [13][ 600/4451] lr: 1.5984e-06 eta: 6:30:39 time: 0.6792 data_time: 0.0116 memory: 51970 grad_norm: 0.1360 loss: 0.0343 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8333 recall@top3: 0.7546 prec@top3: 0.7407 recall@top5: 0.9537 prec@top5: 0.5556 loss_action_cls: 0.0343 2023/03/11 03:29:14 - mmengine - INFO - Epoch(train) [13][ 620/4451] lr: 1.5970e-06 eta: 6:30:25 time: 0.5916 data_time: 0.0135 memory: 51970 grad_norm: 0.1369 loss: 0.0322 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8529 recall@top3: 0.8382 prec@top3: 0.7059 recall@top5: 0.9167 prec@top5: 0.4706 loss_action_cls: 0.0322 2023/03/11 03:29:28 - mmengine - INFO - Epoch(train) [13][ 640/4451] lr: 1.5956e-06 eta: 6:30:11 time: 0.6862 data_time: 0.0183 memory: 51970 grad_norm: 0.1342 loss: 0.0307 recall@thr=0.5: 0.8672 prec@thr=0.5: 0.9222 recall@top3: 0.8733 prec@top3: 0.8111 recall@top5: 0.9833 prec@top5: 0.5733 loss_action_cls: 0.0307 2023/03/11 03:29:41 - mmengine - INFO - Epoch(train) [13][ 660/4451] lr: 1.5942e-06 eta: 6:29:58 time: 0.6634 data_time: 0.0132 memory: 51970 grad_norm: 0.1382 loss: 0.0323 recall@thr=0.5: 0.6975 prec@thr=0.5: 0.6883 recall@top3: 0.8889 prec@top3: 0.6543 recall@top5: 0.9630 prec@top5: 0.4370 loss_action_cls: 0.0323 2023/03/11 03:29:54 - mmengine - INFO - Epoch(train) [13][ 680/4451] lr: 1.5928e-06 eta: 6:29:44 time: 0.6309 data_time: 0.0128 memory: 51970 grad_norm: 0.1361 loss: 0.0340 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.8434 recall@top3: 0.7788 prec@top3: 0.6970 recall@top5: 0.9106 prec@top5: 0.5212 loss_action_cls: 0.0340 2023/03/11 03:30:06 - mmengine - INFO - Epoch(train) [13][ 700/4451] lr: 1.5914e-06 eta: 6:29:30 time: 0.6083 data_time: 0.0126 memory: 51970 grad_norm: 0.1347 loss: 0.0349 recall@thr=0.5: 0.7756 prec@thr=0.5: 0.8109 recall@top3: 0.8397 prec@top3: 0.7051 recall@top5: 0.9519 prec@top5: 0.4923 loss_action_cls: 0.0349 2023/03/11 03:30:20 - mmengine - INFO - Epoch(train) [13][ 720/4451] lr: 1.5900e-06 eta: 6:29:17 time: 0.7051 data_time: 0.0129 memory: 51970 grad_norm: 0.1386 loss: 0.0305 recall@thr=0.5: 0.6025 prec@thr=0.5: 0.6583 recall@top3: 0.7183 prec@top3: 0.5167 recall@top5: 0.8175 prec@top5: 0.3700 loss_action_cls: 0.0305 2023/03/11 03:30:33 - mmengine - INFO - Epoch(train) [13][ 740/4451] lr: 1.5886e-06 eta: 6:29:03 time: 0.6531 data_time: 0.0125 memory: 51970 grad_norm: 0.1307 loss: 0.0297 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8039 recall@top3: 0.8529 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0297 2023/03/11 03:30:46 - mmengine - INFO - Epoch(train) [13][ 760/4451] lr: 1.5872e-06 eta: 6:28:50 time: 0.6633 data_time: 0.0566 memory: 51970 grad_norm: 0.1341 loss: 0.0311 recall@thr=0.5: 0.8476 prec@thr=0.5: 0.9048 recall@top3: 0.8476 prec@top3: 0.6190 recall@top5: 0.9048 prec@top5: 0.4286 loss_action_cls: 0.0311 2023/03/11 03:31:00 - mmengine - INFO - Epoch(train) [13][ 780/4451] lr: 1.5858e-06 eta: 6:28:37 time: 0.7113 data_time: 0.0114 memory: 51970 grad_norm: 0.1339 loss: 0.0336 recall@thr=0.5: 0.6326 prec@thr=0.5: 0.6515 recall@top3: 0.7273 prec@top3: 0.6364 recall@top5: 0.8144 prec@top5: 0.4364 loss_action_cls: 0.0336 2023/03/11 03:31:13 - mmengine - INFO - Epoch(train) [13][ 800/4451] lr: 1.5844e-06 eta: 6:28:23 time: 0.6081 data_time: 0.0132 memory: 51970 grad_norm: 0.1364 loss: 0.0305 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8492 recall@top3: 0.8889 prec@top3: 0.5079 recall@top5: 1.0000 prec@top5: 0.3619 loss_action_cls: 0.0305 2023/03/11 03:31:28 - mmengine - INFO - Epoch(train) [13][ 820/4451] lr: 1.5830e-06 eta: 6:28:11 time: 0.7864 data_time: 0.0119 memory: 51970 grad_norm: 0.1366 loss: 0.0323 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7625 recall@top3: 0.8208 prec@top3: 0.7167 recall@top5: 0.9458 prec@top5: 0.4900 loss_action_cls: 0.0323 2023/03/11 03:31:40 - mmengine - INFO - Epoch(train) [13][ 840/4451] lr: 1.5816e-06 eta: 6:27:56 time: 0.5711 data_time: 0.0128 memory: 51970 grad_norm: 0.1440 loss: 0.0351 recall@thr=0.5: 0.6413 prec@thr=0.5: 0.7319 recall@top3: 0.8623 prec@top3: 0.7536 recall@top5: 0.9420 prec@top5: 0.5043 loss_action_cls: 0.0351 2023/03/11 03:31:55 - mmengine - INFO - Epoch(train) [13][ 860/4451] lr: 1.5802e-06 eta: 6:27:44 time: 0.7755 data_time: 0.0127 memory: 51970 grad_norm: 0.1291 loss: 0.0318 recall@thr=0.5: 0.7589 prec@thr=0.5: 0.8452 recall@top3: 0.8899 prec@top3: 0.7619 recall@top5: 0.9673 prec@top5: 0.5143 loss_action_cls: 0.0318 2023/03/11 03:32:08 - mmengine - INFO - Epoch(train) [13][ 880/4451] lr: 1.5788e-06 eta: 6:27:31 time: 0.6372 data_time: 0.0134 memory: 51970 grad_norm: 0.1335 loss: 0.0318 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7045 recall@top3: 0.8977 prec@top3: 0.6970 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0318 2023/03/11 03:32:23 - mmengine - INFO - Epoch(train) [13][ 900/4451] lr: 1.5774e-06 eta: 6:27:18 time: 0.7367 data_time: 0.0123 memory: 51970 grad_norm: 0.1364 loss: 0.0303 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8981 recall@top3: 0.8898 prec@top3: 0.8519 recall@top5: 1.0000 prec@top5: 0.5778 loss_action_cls: 0.0303 2023/03/11 03:32:36 - mmengine - INFO - Epoch(train) [13][ 920/4451] lr: 1.5761e-06 eta: 6:27:05 time: 0.6889 data_time: 0.0128 memory: 51970 grad_norm: 0.1343 loss: 0.0295 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8899 recall@top3: 0.9203 prec@top3: 0.7246 recall@top5: 0.9710 prec@top5: 0.4696 loss_action_cls: 0.0295 2023/03/11 03:32:51 - mmengine - INFO - Epoch(train) [13][ 940/4451] lr: 1.5747e-06 eta: 6:26:52 time: 0.7491 data_time: 0.0126 memory: 51970 grad_norm: 0.1329 loss: 0.0305 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.8667 recall@top3: 0.8371 prec@top3: 0.7121 recall@top5: 0.9773 prec@top5: 0.5182 loss_action_cls: 0.0305 2023/03/11 03:33:05 - mmengine - INFO - Epoch(train) [13][ 960/4451] lr: 1.5733e-06 eta: 6:26:39 time: 0.6937 data_time: 0.0130 memory: 51970 grad_norm: 0.1387 loss: 0.0293 recall@thr=0.5: 0.6711 prec@thr=0.5: 0.7193 recall@top3: 0.8640 prec@top3: 0.6842 recall@top5: 0.9605 prec@top5: 0.4632 loss_action_cls: 0.0293 2023/03/11 03:33:18 - mmengine - INFO - Epoch(train) [13][ 980/4451] lr: 1.5719e-06 eta: 6:26:26 time: 0.6373 data_time: 0.0117 memory: 51970 grad_norm: 0.1325 loss: 0.0290 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8889 recall@top3: 0.9352 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0290 2023/03/11 03:33:30 - mmengine - INFO - Epoch(train) [13][1000/4451] lr: 1.5705e-06 eta: 6:26:11 time: 0.6029 data_time: 0.0126 memory: 51970 grad_norm: 0.1291 loss: 0.0322 recall@thr=0.5: 0.5114 prec@thr=0.5: 0.5606 recall@top3: 0.8220 prec@top3: 0.6364 recall@top5: 0.9356 prec@top5: 0.4364 loss_action_cls: 0.0322 2023/03/11 03:33:44 - mmengine - INFO - Epoch(train) [13][1020/4451] lr: 1.5691e-06 eta: 6:25:58 time: 0.6971 data_time: 0.0118 memory: 51970 grad_norm: 0.1387 loss: 0.0335 recall@thr=0.5: 0.6026 prec@thr=0.5: 0.7436 recall@top3: 0.7821 prec@top3: 0.6410 recall@top5: 0.8077 prec@top5: 0.4000 loss_action_cls: 0.0335 2023/03/11 03:33:55 - mmengine - INFO - Epoch(train) [13][1040/4451] lr: 1.5677e-06 eta: 6:25:44 time: 0.5606 data_time: 0.0132 memory: 51970 grad_norm: 0.1262 loss: 0.0304 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.6667 recall@top3: 0.8796 prec@top3: 0.6111 recall@top5: 0.8981 prec@top5: 0.3778 loss_action_cls: 0.0304 2023/03/11 03:34:10 - mmengine - INFO - Epoch(train) [13][1060/4451] lr: 1.5663e-06 eta: 6:25:31 time: 0.7276 data_time: 0.0129 memory: 51970 grad_norm: 0.1280 loss: 0.0300 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7889 recall@top3: 0.9222 prec@top3: 0.4889 recall@top5: 0.9222 prec@top5: 0.2933 loss_action_cls: 0.0300 2023/03/11 03:34:22 - mmengine - INFO - Epoch(train) [13][1080/4451] lr: 1.5649e-06 eta: 6:25:17 time: 0.6161 data_time: 0.0137 memory: 51970 grad_norm: 0.1369 loss: 0.0299 recall@thr=0.5: 0.7069 prec@thr=0.5: 0.7701 recall@top3: 0.8506 prec@top3: 0.6552 recall@top5: 0.9368 prec@top5: 0.4414 loss_action_cls: 0.0299 2023/03/11 03:34:34 - mmengine - INFO - Epoch(train) [13][1100/4451] lr: 1.5635e-06 eta: 6:25:02 time: 0.5653 data_time: 0.0123 memory: 51970 grad_norm: 0.1330 loss: 0.0344 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.8333 recall@top3: 0.9444 prec@top3: 0.6296 recall@top5: 0.9722 prec@top5: 0.3889 loss_action_cls: 0.0344 2023/03/11 03:34:44 - mmengine - INFO - Epoch(train) [13][1120/4451] lr: 1.5621e-06 eta: 6:24:47 time: 0.5442 data_time: 0.0131 memory: 51970 grad_norm: 0.1322 loss: 0.0322 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7604 recall@top3: 0.8819 prec@top3: 0.7500 recall@top5: 0.9514 prec@top5: 0.5000 loss_action_cls: 0.0322 2023/03/11 03:34:59 - mmengine - INFO - Epoch(train) [13][1140/4451] lr: 1.5607e-06 eta: 6:24:35 time: 0.7408 data_time: 0.0364 memory: 51970 grad_norm: 0.1310 loss: 0.0341 recall@thr=0.5: 0.6238 prec@thr=0.5: 0.6111 recall@top3: 0.7278 prec@top3: 0.5714 recall@top5: 0.9048 prec@top5: 0.4476 loss_action_cls: 0.0341 2023/03/11 03:35:11 - mmengine - INFO - Epoch(train) [13][1160/4451] lr: 1.5593e-06 eta: 6:24:21 time: 0.6110 data_time: 0.0357 memory: 51970 grad_norm: 0.1386 loss: 0.0332 recall@thr=0.5: 0.8114 prec@thr=0.5: 0.8772 recall@top3: 0.8684 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0332 2023/03/11 03:35:25 - mmengine - INFO - Epoch(train) [13][1180/4451] lr: 1.5579e-06 eta: 6:24:07 time: 0.6714 data_time: 0.1038 memory: 51970 grad_norm: 0.1396 loss: 0.0329 recall@thr=0.5: 0.7767 prec@thr=0.5: 0.7700 recall@top3: 0.9267 prec@top3: 0.6933 recall@top5: 0.9867 prec@top5: 0.4640 loss_action_cls: 0.0329 2023/03/11 03:35:39 - mmengine - INFO - Epoch(train) [13][1200/4451] lr: 1.5565e-06 eta: 6:23:54 time: 0.7185 data_time: 0.2073 memory: 51970 grad_norm: 0.1336 loss: 0.0314 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.9375 recall@top3: 1.0000 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4250 loss_action_cls: 0.0314 2023/03/11 03:35:52 - mmengine - INFO - Epoch(train) [13][1220/4451] lr: 1.5551e-06 eta: 6:23:41 time: 0.6401 data_time: 0.2091 memory: 51970 grad_norm: 0.1389 loss: 0.0317 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8667 recall@top3: 0.8556 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4667 loss_action_cls: 0.0317 2023/03/11 03:36:06 - mmengine - INFO - Epoch(train) [13][1240/4451] lr: 1.5537e-06 eta: 6:23:27 time: 0.6788 data_time: 0.2532 memory: 51970 grad_norm: 0.1387 loss: 0.0346 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.8824 recall@top3: 0.9706 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.3882 loss_action_cls: 0.0346 2023/03/11 03:36:18 - mmengine - INFO - Epoch(train) [13][1260/4451] lr: 1.5523e-06 eta: 6:23:13 time: 0.6154 data_time: 0.1882 memory: 51970 grad_norm: 0.1315 loss: 0.0308 recall@thr=0.5: 0.8441 prec@thr=0.5: 0.9706 recall@top3: 0.9186 prec@top3: 0.6667 recall@top5: 0.9765 prec@top5: 0.4471 loss_action_cls: 0.0308 2023/03/11 03:36:29 - mmengine - INFO - Epoch(train) [13][1280/4451] lr: 1.5509e-06 eta: 6:22:59 time: 0.5606 data_time: 0.1347 memory: 51970 grad_norm: 0.1365 loss: 0.0310 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6000 recall@top3: 0.7667 prec@top3: 0.4000 recall@top5: 0.8556 prec@top5: 0.2667 loss_action_cls: 0.0310 2023/03/11 03:36:43 - mmengine - INFO - Epoch(train) [13][1300/4451] lr: 1.5495e-06 eta: 6:22:45 time: 0.6730 data_time: 0.2394 memory: 51970 grad_norm: 0.1314 loss: 0.0292 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.6765 recall@top3: 0.9510 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0292 2023/03/11 03:36:56 - mmengine - INFO - Epoch(train) [13][1320/4451] lr: 1.5481e-06 eta: 6:22:32 time: 0.6663 data_time: 0.2421 memory: 51970 grad_norm: 0.1356 loss: 0.0303 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9010 recall@top3: 0.8750 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0303 2023/03/11 03:37:07 - mmengine - INFO - Epoch(train) [13][1340/4451] lr: 1.5467e-06 eta: 6:22:17 time: 0.5421 data_time: 0.1149 memory: 51970 grad_norm: 0.1272 loss: 0.0319 recall@thr=0.5: 0.8030 prec@thr=0.5: 0.9167 recall@top3: 0.9015 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0319 2023/03/11 03:37:19 - mmengine - INFO - Epoch(train) [13][1360/4451] lr: 1.5454e-06 eta: 6:22:03 time: 0.6114 data_time: 0.1898 memory: 51970 grad_norm: 0.1408 loss: 0.0287 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8833 recall@top3: 0.9375 prec@top3: 0.8000 recall@top5: 0.9750 prec@top5: 0.5100 loss_action_cls: 0.0287 2023/03/11 03:37:31 - mmengine - INFO - Epoch(train) [13][1380/4451] lr: 1.5440e-06 eta: 6:21:48 time: 0.6052 data_time: 0.0850 memory: 51970 grad_norm: 0.1393 loss: 0.0282 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.7862 recall@top3: 0.8913 prec@top3: 0.7681 recall@top5: 1.0000 prec@top5: 0.5478 loss_action_cls: 0.0282 2023/03/11 03:37:45 - mmengine - INFO - Epoch(train) [13][1400/4451] lr: 1.5426e-06 eta: 6:21:36 time: 0.7142 data_time: 0.0128 memory: 51970 grad_norm: 0.1284 loss: 0.0346 recall@thr=0.5: 0.7126 prec@thr=0.5: 0.7471 recall@top3: 0.8218 prec@top3: 0.7241 recall@top5: 0.9425 prec@top5: 0.5034 loss_action_cls: 0.0346 2023/03/11 03:37:58 - mmengine - INFO - Epoch(train) [13][1420/4451] lr: 1.5412e-06 eta: 6:21:22 time: 0.6405 data_time: 0.0136 memory: 51970 grad_norm: 0.1298 loss: 0.0281 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.8056 recall@top3: 0.8333 prec@top3: 0.5556 recall@top5: 0.8889 prec@top5: 0.3667 loss_action_cls: 0.0281 2023/03/11 03:38:12 - mmengine - INFO - Epoch(train) [13][1440/4451] lr: 1.5398e-06 eta: 6:21:09 time: 0.7077 data_time: 0.0128 memory: 51970 grad_norm: 0.1408 loss: 0.0355 recall@thr=0.5: 0.6772 prec@thr=0.5: 0.6930 recall@top3: 0.7526 prec@top3: 0.5439 recall@top5: 0.9614 prec@top5: 0.4737 loss_action_cls: 0.0355 2023/03/11 03:38:25 - mmengine - INFO - Epoch(train) [13][1460/4451] lr: 1.5384e-06 eta: 6:20:55 time: 0.6413 data_time: 0.0134 memory: 51970 grad_norm: 0.1314 loss: 0.0330 recall@thr=0.5: 0.6713 prec@thr=0.5: 0.7407 recall@top3: 0.8241 prec@top3: 0.6852 recall@top5: 0.8889 prec@top5: 0.4556 loss_action_cls: 0.0330 2023/03/11 03:38:40 - mmengine - INFO - Epoch(train) [13][1480/4451] lr: 1.5370e-06 eta: 6:20:43 time: 0.7284 data_time: 0.0114 memory: 51970 grad_norm: 0.1350 loss: 0.0321 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.9242 recall@top3: 0.8258 prec@top3: 0.7424 recall@top5: 0.9394 prec@top5: 0.5273 loss_action_cls: 0.0321 2023/03/11 03:38:52 - mmengine - INFO - Epoch(train) [13][1500/4451] lr: 1.5356e-06 eta: 6:20:28 time: 0.5965 data_time: 0.0144 memory: 51970 grad_norm: 0.1362 loss: 0.0303 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8431 recall@top3: 0.9020 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4235 loss_action_cls: 0.0303 2023/03/11 03:39:06 - mmengine - INFO - Epoch(train) [13][1520/4451] lr: 1.5342e-06 eta: 6:20:15 time: 0.6958 data_time: 0.0116 memory: 51970 grad_norm: 0.1368 loss: 0.0310 recall@thr=0.5: 0.8152 prec@thr=0.5: 0.8478 recall@top3: 0.8225 prec@top3: 0.7536 recall@top5: 0.9674 prec@top5: 0.5391 loss_action_cls: 0.0310 2023/03/11 03:39:19 - mmengine - INFO - Epoch(train) [13][1540/4451] lr: 1.5328e-06 eta: 6:20:02 time: 0.6898 data_time: 0.0175 memory: 51970 grad_norm: 0.1398 loss: 0.0338 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.7647 recall@top3: 0.7647 prec@top3: 0.6275 recall@top5: 0.7941 prec@top5: 0.4000 loss_action_cls: 0.0338 2023/03/11 03:39:34 - mmengine - INFO - Epoch(train) [13][1560/4451] lr: 1.5314e-06 eta: 6:19:49 time: 0.7234 data_time: 0.0125 memory: 51970 grad_norm: 0.1389 loss: 0.0309 recall@thr=0.5: 0.8278 prec@thr=0.5: 0.9667 recall@top3: 0.9667 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0309 2023/03/11 03:39:46 - mmengine - INFO - Epoch(train) [13][1580/4451] lr: 1.5300e-06 eta: 6:19:35 time: 0.5787 data_time: 0.0132 memory: 51970 grad_norm: 0.1422 loss: 0.0327 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.7857 recall@top3: 0.9048 prec@top3: 0.5238 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0327 2023/03/11 03:39:52 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 03:40:01 - mmengine - INFO - Epoch(train) [13][1600/4451] lr: 1.5286e-06 eta: 6:19:23 time: 0.7492 data_time: 0.0122 memory: 51970 grad_norm: 0.1309 loss: 0.0328 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.5812 recall@top3: 0.6875 prec@top3: 0.6458 recall@top5: 0.8958 prec@top5: 0.5125 loss_action_cls: 0.0328 2023/03/11 03:40:13 - mmengine - INFO - Epoch(train) [13][1620/4451] lr: 1.5272e-06 eta: 6:19:08 time: 0.6156 data_time: 0.0133 memory: 51970 grad_norm: 0.1409 loss: 0.0319 recall@thr=0.5: 0.8509 prec@thr=0.5: 0.8333 recall@top3: 0.9123 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0319 2023/03/11 03:40:28 - mmengine - INFO - Epoch(train) [13][1640/4451] lr: 1.5258e-06 eta: 6:18:56 time: 0.7455 data_time: 0.0120 memory: 51970 grad_norm: 0.1305 loss: 0.0318 recall@thr=0.5: 0.6549 prec@thr=0.5: 0.7529 recall@top3: 0.8539 prec@top3: 0.6078 recall@top5: 0.9392 prec@top5: 0.4000 loss_action_cls: 0.0318 2023/03/11 03:40:40 - mmengine - INFO - Epoch(train) [13][1660/4451] lr: 1.5244e-06 eta: 6:18:42 time: 0.6274 data_time: 0.0135 memory: 51970 grad_norm: 0.1289 loss: 0.0329 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.8333 recall@top3: 0.8981 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0329 2023/03/11 03:40:56 - mmengine - INFO - Epoch(train) [13][1680/4451] lr: 1.5230e-06 eta: 6:18:30 time: 0.7800 data_time: 0.0121 memory: 51970 grad_norm: 0.1366 loss: 0.0304 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7882 recall@top3: 0.7569 prec@top3: 0.5694 recall@top5: 0.8750 prec@top5: 0.4167 loss_action_cls: 0.0304 2023/03/11 03:41:08 - mmengine - INFO - Epoch(train) [13][1700/4451] lr: 1.5216e-06 eta: 6:18:16 time: 0.5951 data_time: 0.0131 memory: 51970 grad_norm: 0.1438 loss: 0.0302 recall@thr=0.5: 0.6873 prec@thr=0.5: 0.7778 recall@top3: 0.7905 prec@top3: 0.7778 recall@top5: 0.9683 prec@top5: 0.5905 loss_action_cls: 0.0302 2023/03/11 03:41:23 - mmengine - INFO - Epoch(train) [13][1720/4451] lr: 1.5202e-06 eta: 6:18:03 time: 0.7462 data_time: 0.0117 memory: 51970 grad_norm: 0.1346 loss: 0.0263 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7917 recall@top3: 0.8194 prec@top3: 0.6944 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0263 2023/03/11 03:41:34 - mmengine - INFO - Epoch(train) [13][1740/4451] lr: 1.5188e-06 eta: 6:17:49 time: 0.5560 data_time: 0.0130 memory: 51970 grad_norm: 0.1300 loss: 0.0302 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.8250 recall@top3: 0.9250 prec@top3: 0.6833 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0302 2023/03/11 03:41:47 - mmengine - INFO - Epoch(train) [13][1760/4451] lr: 1.5174e-06 eta: 6:17:35 time: 0.6784 data_time: 0.0128 memory: 51970 grad_norm: 0.1315 loss: 0.0322 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.7847 recall@top3: 0.8090 prec@top3: 0.5694 recall@top5: 0.8611 prec@top5: 0.3750 loss_action_cls: 0.0322 2023/03/11 03:42:01 - mmengine - INFO - Epoch(train) [13][1780/4451] lr: 1.5160e-06 eta: 6:17:22 time: 0.6530 data_time: 0.0114 memory: 51970 grad_norm: 0.1294 loss: 0.0320 recall@thr=0.5: 0.6785 prec@thr=0.5: 0.8333 recall@top3: 0.7688 prec@top3: 0.7083 recall@top5: 0.8979 prec@top5: 0.5167 loss_action_cls: 0.0320 2023/03/11 03:42:12 - mmengine - INFO - Epoch(train) [13][1800/4451] lr: 1.5146e-06 eta: 6:17:07 time: 0.5984 data_time: 0.0421 memory: 51970 grad_norm: 0.1328 loss: 0.0355 recall@thr=0.5: 0.6381 prec@thr=0.5: 0.7738 recall@top3: 0.7821 prec@top3: 0.6786 recall@top5: 0.8738 prec@top5: 0.4714 loss_action_cls: 0.0355 2023/03/11 03:42:27 - mmengine - INFO - Epoch(train) [13][1820/4451] lr: 1.5132e-06 eta: 6:16:54 time: 0.7018 data_time: 0.0219 memory: 51970 grad_norm: 0.1387 loss: 0.0322 recall@thr=0.5: 0.6422 prec@thr=0.5: 0.7353 recall@top3: 0.6912 prec@top3: 0.6275 recall@top5: 0.9265 prec@top5: 0.5176 loss_action_cls: 0.0322 2023/03/11 03:42:39 - mmengine - INFO - Epoch(train) [13][1840/4451] lr: 1.5118e-06 eta: 6:16:41 time: 0.6458 data_time: 0.0758 memory: 51970 grad_norm: 0.1326 loss: 0.0298 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.7070 recall@top3: 0.7895 prec@top3: 0.6140 recall@top5: 0.8553 prec@top5: 0.4105 loss_action_cls: 0.0298 2023/03/11 03:42:53 - mmengine - INFO - Epoch(train) [13][1860/4451] lr: 1.5104e-06 eta: 6:16:27 time: 0.6649 data_time: 0.0118 memory: 51970 grad_norm: 0.1326 loss: 0.0299 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.5729 recall@top3: 0.7708 prec@top3: 0.5417 recall@top5: 0.8750 prec@top5: 0.3625 loss_action_cls: 0.0299 2023/03/11 03:43:04 - mmengine - INFO - Epoch(train) [13][1880/4451] lr: 1.5090e-06 eta: 6:16:13 time: 0.5704 data_time: 0.0160 memory: 51970 grad_norm: 0.1339 loss: 0.0315 recall@thr=0.5: 0.6222 prec@thr=0.5: 0.6778 recall@top3: 0.9000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0315 2023/03/11 03:43:18 - mmengine - INFO - Epoch(train) [13][1900/4451] lr: 1.5076e-06 eta: 6:16:00 time: 0.6964 data_time: 0.0110 memory: 51970 grad_norm: 0.1380 loss: 0.0326 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.8030 recall@top3: 0.8068 prec@top3: 0.5455 recall@top5: 0.9129 prec@top5: 0.3818 loss_action_cls: 0.0326 2023/03/11 03:43:30 - mmengine - INFO - Epoch(train) [13][1920/4451] lr: 1.5062e-06 eta: 6:15:46 time: 0.6145 data_time: 0.0467 memory: 51970 grad_norm: 0.1370 loss: 0.0326 recall@thr=0.5: 0.4359 prec@thr=0.5: 0.6538 recall@top3: 0.6282 prec@top3: 0.5385 recall@top5: 0.8077 prec@top5: 0.4308 loss_action_cls: 0.0326 2023/03/11 03:43:45 - mmengine - INFO - Epoch(train) [13][1940/4451] lr: 1.5048e-06 eta: 6:15:33 time: 0.7186 data_time: 0.0127 memory: 51970 grad_norm: 0.1358 loss: 0.0313 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.5294 recall@top3: 0.6961 prec@top3: 0.4510 recall@top5: 0.9608 prec@top5: 0.3647 loss_action_cls: 0.0313 2023/03/11 03:43:56 - mmengine - INFO - Epoch(train) [13][1960/4451] lr: 1.5034e-06 eta: 6:15:18 time: 0.5812 data_time: 0.0125 memory: 51970 grad_norm: 0.1336 loss: 0.0313 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.7536 recall@top3: 0.8551 prec@top3: 0.5797 recall@top5: 0.9239 prec@top5: 0.3913 loss_action_cls: 0.0313 2023/03/11 03:44:09 - mmengine - INFO - Epoch(train) [13][1980/4451] lr: 1.5021e-06 eta: 6:15:05 time: 0.6523 data_time: 0.0122 memory: 51970 grad_norm: 0.1304 loss: 0.0343 recall@thr=0.5: 0.5451 prec@thr=0.5: 0.7222 recall@top3: 0.7986 prec@top3: 0.6111 recall@top5: 0.9132 prec@top5: 0.4333 loss_action_cls: 0.0343 2023/03/11 03:44:22 - mmengine - INFO - Epoch(train) [13][2000/4451] lr: 1.5007e-06 eta: 6:14:51 time: 0.6205 data_time: 0.0128 memory: 51970 grad_norm: 0.1420 loss: 0.0302 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.7246 recall@top3: 0.8478 prec@top3: 0.6377 recall@top5: 0.9855 prec@top5: 0.4348 loss_action_cls: 0.0302 2023/03/11 03:44:34 - mmengine - INFO - Epoch(train) [13][2020/4451] lr: 1.4993e-06 eta: 6:14:37 time: 0.6187 data_time: 0.0134 memory: 51970 grad_norm: 0.1356 loss: 0.0306 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8561 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9394 prec@top5: 0.4455 loss_action_cls: 0.0306 2023/03/11 03:44:46 - mmengine - INFO - Epoch(train) [13][2040/4451] lr: 1.4979e-06 eta: 6:14:23 time: 0.5983 data_time: 0.0123 memory: 51970 grad_norm: 0.1362 loss: 0.0318 recall@thr=0.5: 0.6083 prec@thr=0.5: 0.6964 recall@top3: 0.7607 prec@top3: 0.6190 recall@top5: 0.8881 prec@top5: 0.4500 loss_action_cls: 0.0318 2023/03/11 03:45:00 - mmengine - INFO - Epoch(train) [13][2060/4451] lr: 1.4965e-06 eta: 6:14:09 time: 0.6825 data_time: 0.0139 memory: 51970 grad_norm: 0.1320 loss: 0.0303 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7778 recall@top3: 0.8889 prec@top3: 0.5370 recall@top5: 0.9444 prec@top5: 0.3444 loss_action_cls: 0.0303 2023/03/11 03:45:12 - mmengine - INFO - Epoch(train) [13][2080/4451] lr: 1.4951e-06 eta: 6:13:55 time: 0.5970 data_time: 0.0130 memory: 51970 grad_norm: 0.1367 loss: 0.0366 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8598 recall@top3: 0.8636 prec@top3: 0.6970 recall@top5: 0.9318 prec@top5: 0.4545 loss_action_cls: 0.0366 2023/03/11 03:45:24 - mmengine - INFO - Epoch(train) [13][2100/4451] lr: 1.4937e-06 eta: 6:13:41 time: 0.5951 data_time: 0.0138 memory: 51970 grad_norm: 0.1328 loss: 0.0298 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8000 recall@top3: 0.9383 prec@top3: 0.6167 recall@top5: 0.9483 prec@top5: 0.3800 loss_action_cls: 0.0298 2023/03/11 03:45:36 - mmengine - INFO - Epoch(train) [13][2120/4451] lr: 1.4923e-06 eta: 6:13:27 time: 0.6245 data_time: 0.0128 memory: 51970 grad_norm: 0.1344 loss: 0.0344 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.8810 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 0.9643 prec@top5: 0.4571 loss_action_cls: 0.0344 2023/03/11 03:45:50 - mmengine - INFO - Epoch(train) [13][2140/4451] lr: 1.4909e-06 eta: 6:13:14 time: 0.6731 data_time: 0.0120 memory: 51970 grad_norm: 0.1369 loss: 0.0357 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.6842 recall@top3: 0.7456 prec@top3: 0.5614 recall@top5: 0.8596 prec@top5: 0.4105 loss_action_cls: 0.0357 2023/03/11 03:46:02 - mmengine - INFO - Epoch(train) [13][2160/4451] lr: 1.4895e-06 eta: 6:13:00 time: 0.6155 data_time: 0.0128 memory: 51970 grad_norm: 0.1358 loss: 0.0292 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8229 recall@top3: 0.8333 prec@top3: 0.5417 recall@top5: 0.9688 prec@top5: 0.3875 loss_action_cls: 0.0292 2023/03/11 03:46:16 - mmengine - INFO - Epoch(train) [13][2180/4451] lr: 1.4881e-06 eta: 6:12:47 time: 0.7056 data_time: 0.0124 memory: 51970 grad_norm: 0.1351 loss: 0.0329 recall@thr=0.5: 0.6246 prec@thr=0.5: 0.7609 recall@top3: 0.7928 prec@top3: 0.6232 recall@top5: 0.8812 prec@top5: 0.4261 loss_action_cls: 0.0329 2023/03/11 03:46:28 - mmengine - INFO - Epoch(train) [13][2200/4451] lr: 1.4867e-06 eta: 6:12:32 time: 0.5706 data_time: 0.0131 memory: 51970 grad_norm: 0.1318 loss: 0.0329 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8800 recall@top3: 0.8200 prec@top3: 0.6933 recall@top5: 0.9333 prec@top5: 0.4880 loss_action_cls: 0.0329 2023/03/11 03:46:41 - mmengine - INFO - Epoch(train) [13][2220/4451] lr: 1.4853e-06 eta: 6:12:19 time: 0.6890 data_time: 0.0117 memory: 51970 grad_norm: 0.1324 loss: 0.0302 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.8056 recall@top3: 0.7963 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.4000 loss_action_cls: 0.0302 2023/03/11 03:46:53 - mmengine - INFO - Epoch(train) [13][2240/4451] lr: 1.4839e-06 eta: 6:12:04 time: 0.5618 data_time: 0.0139 memory: 51970 grad_norm: 0.1296 loss: 0.0327 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8268 recall@top3: 0.8531 prec@top3: 0.7719 recall@top5: 0.9298 prec@top5: 0.5211 loss_action_cls: 0.0327 2023/03/11 03:47:05 - mmengine - INFO - Epoch(train) [13][2260/4451] lr: 1.4825e-06 eta: 6:11:50 time: 0.6338 data_time: 0.0124 memory: 51970 grad_norm: 0.1304 loss: 0.0288 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7639 recall@top3: 0.8403 prec@top3: 0.7500 recall@top5: 0.9861 prec@top5: 0.5417 loss_action_cls: 0.0288 2023/03/11 03:47:17 - mmengine - INFO - Epoch(train) [13][2280/4451] lr: 1.4811e-06 eta: 6:11:36 time: 0.6121 data_time: 0.0134 memory: 51970 grad_norm: 0.1332 loss: 0.0291 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.7436 recall@top3: 0.7564 prec@top3: 0.4615 recall@top5: 0.8910 prec@top5: 0.3462 loss_action_cls: 0.0291 2023/03/11 03:47:30 - mmengine - INFO - Epoch(train) [13][2300/4451] lr: 1.4797e-06 eta: 6:11:23 time: 0.6446 data_time: 0.0131 memory: 51970 grad_norm: 0.1292 loss: 0.0344 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.7745 recall@top3: 0.9167 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.3765 loss_action_cls: 0.0344 2023/03/11 03:47:44 - mmengine - INFO - Epoch(train) [13][2320/4451] lr: 1.4783e-06 eta: 6:11:09 time: 0.6635 data_time: 0.0136 memory: 51970 grad_norm: 0.1359 loss: 0.0325 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.8137 recall@top3: 0.8039 prec@top3: 0.5686 recall@top5: 0.8725 prec@top5: 0.3882 loss_action_cls: 0.0325 2023/03/11 03:47:56 - mmengine - INFO - Epoch(train) [13][2340/4451] lr: 1.4769e-06 eta: 6:10:55 time: 0.6104 data_time: 0.0122 memory: 51970 grad_norm: 0.1331 loss: 0.0286 recall@thr=0.5: 0.7454 prec@thr=0.5: 0.8241 recall@top3: 0.8565 prec@top3: 0.7222 recall@top5: 0.9259 prec@top5: 0.4778 loss_action_cls: 0.0286 2023/03/11 03:48:09 - mmengine - INFO - Epoch(train) [13][2360/4451] lr: 1.4755e-06 eta: 6:10:42 time: 0.6642 data_time: 0.0141 memory: 51970 grad_norm: 0.1299 loss: 0.0278 recall@thr=0.5: 0.7097 prec@thr=0.5: 0.7917 recall@top3: 0.8625 prec@top3: 0.5139 recall@top5: 0.9583 prec@top5: 0.3667 loss_action_cls: 0.0278 2023/03/11 03:48:21 - mmengine - INFO - Epoch(train) [13][2380/4451] lr: 1.4741e-06 eta: 6:10:27 time: 0.5683 data_time: 0.0126 memory: 51970 grad_norm: 0.1372 loss: 0.0329 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8444 recall@top3: 0.9222 prec@top3: 0.4889 recall@top5: 1.0000 prec@top5: 0.3333 loss_action_cls: 0.0329 2023/03/11 03:48:34 - mmengine - INFO - Epoch(train) [13][2400/4451] lr: 1.4727e-06 eta: 6:10:14 time: 0.6719 data_time: 0.0128 memory: 51970 grad_norm: 0.1331 loss: 0.0297 recall@thr=0.5: 0.6590 prec@thr=0.5: 0.7257 recall@top3: 0.8486 prec@top3: 0.6389 recall@top5: 0.9236 prec@top5: 0.4417 loss_action_cls: 0.0297 2023/03/11 03:48:46 - mmengine - INFO - Epoch(train) [13][2420/4451] lr: 1.4713e-06 eta: 6:10:00 time: 0.6139 data_time: 0.0132 memory: 51970 grad_norm: 0.1300 loss: 0.0303 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7941 recall@top3: 0.8824 prec@top3: 0.6078 recall@top5: 0.8824 prec@top5: 0.3647 loss_action_cls: 0.0303 2023/03/11 03:48:59 - mmengine - INFO - Epoch(train) [13][2440/4451] lr: 1.4699e-06 eta: 6:09:46 time: 0.6248 data_time: 0.0133 memory: 51970 grad_norm: 0.1238 loss: 0.0323 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7579 recall@top3: 0.8770 prec@top3: 0.6190 recall@top5: 0.9206 prec@top5: 0.4000 loss_action_cls: 0.0323 2023/03/11 03:49:10 - mmengine - INFO - Epoch(train) [13][2460/4451] lr: 1.4685e-06 eta: 6:09:31 time: 0.5796 data_time: 0.0130 memory: 51970 grad_norm: 0.1329 loss: 0.0339 recall@thr=0.5: 0.6510 prec@thr=0.5: 0.8437 recall@top3: 0.8906 prec@top3: 0.6042 recall@top5: 0.9792 prec@top5: 0.4125 loss_action_cls: 0.0339 2023/03/11 03:49:24 - mmengine - INFO - Epoch(train) [13][2480/4451] lr: 1.4671e-06 eta: 6:09:18 time: 0.6754 data_time: 0.0135 memory: 51970 grad_norm: 0.1283 loss: 0.0309 recall@thr=0.5: 0.7780 prec@thr=0.5: 0.8712 recall@top3: 0.8780 prec@top3: 0.7424 recall@top5: 0.9439 prec@top5: 0.5091 loss_action_cls: 0.0309 2023/03/11 03:49:36 - mmengine - INFO - Epoch(train) [13][2500/4451] lr: 1.4657e-06 eta: 6:09:04 time: 0.6002 data_time: 0.0136 memory: 51970 grad_norm: 0.1423 loss: 0.0298 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.8590 recall@top3: 0.8590 prec@top3: 0.6923 recall@top5: 0.9487 prec@top5: 0.4769 loss_action_cls: 0.0298 2023/03/11 03:49:50 - mmengine - INFO - Epoch(train) [13][2520/4451] lr: 1.4643e-06 eta: 6:08:51 time: 0.7032 data_time: 0.0141 memory: 51970 grad_norm: 0.1379 loss: 0.0309 recall@thr=0.5: 0.9583 prec@thr=0.5: 0.9687 recall@top3: 1.0000 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.3750 loss_action_cls: 0.0309 2023/03/11 03:50:01 - mmengine - INFO - Epoch(train) [13][2540/4451] lr: 1.4629e-06 eta: 6:08:36 time: 0.5678 data_time: 0.0123 memory: 51970 grad_norm: 0.1319 loss: 0.0308 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.8500 recall@top3: 0.8850 prec@top3: 0.7833 recall@top5: 0.9750 prec@top5: 0.5300 loss_action_cls: 0.0308 2023/03/11 03:50:15 - mmengine - INFO - Epoch(train) [13][2560/4451] lr: 1.4615e-06 eta: 6:08:23 time: 0.6855 data_time: 0.0148 memory: 51970 grad_norm: 0.1407 loss: 0.0307 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.7549 recall@top3: 0.9069 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.4353 loss_action_cls: 0.0307 2023/03/11 03:50:27 - mmengine - INFO - Epoch(train) [13][2580/4451] lr: 1.4601e-06 eta: 6:08:09 time: 0.5836 data_time: 0.0118 memory: 51970 grad_norm: 0.1279 loss: 0.0327 recall@thr=0.5: 0.6264 prec@thr=0.5: 0.7069 recall@top3: 0.7299 prec@top3: 0.6092 recall@top5: 0.9282 prec@top5: 0.4828 loss_action_cls: 0.0327 2023/03/11 03:50:32 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 03:50:40 - mmengine - INFO - Epoch(train) [13][2600/4451] lr: 1.4587e-06 eta: 6:07:56 time: 0.6782 data_time: 0.0145 memory: 51970 grad_norm: 0.1319 loss: 0.0306 recall@thr=0.5: 0.3922 prec@thr=0.5: 0.3922 recall@top3: 0.6373 prec@top3: 0.3529 recall@top5: 0.8235 prec@top5: 0.3059 loss_action_cls: 0.0306 2023/03/11 03:50:53 - mmengine - INFO - Epoch(train) [13][2620/4451] lr: 1.4573e-06 eta: 6:07:42 time: 0.6230 data_time: 0.0115 memory: 51970 grad_norm: 0.1345 loss: 0.0300 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7870 recall@top3: 0.8750 prec@top3: 0.7222 recall@top5: 0.9630 prec@top5: 0.4889 loss_action_cls: 0.0300 2023/03/11 03:51:06 - mmengine - INFO - Epoch(train) [13][2640/4451] lr: 1.4559e-06 eta: 6:07:28 time: 0.6629 data_time: 0.0133 memory: 51970 grad_norm: 0.1353 loss: 0.0320 recall@thr=0.5: 0.5444 prec@thr=0.5: 0.5556 recall@top3: 0.8528 prec@top3: 0.5185 recall@top5: 0.8639 prec@top5: 0.3222 loss_action_cls: 0.0320 2023/03/11 03:51:17 - mmengine - INFO - Epoch(train) [13][2660/4451] lr: 1.4545e-06 eta: 6:07:13 time: 0.5511 data_time: 0.0119 memory: 51970 grad_norm: 0.1312 loss: 0.0318 recall@thr=0.5: 0.6923 prec@thr=0.5: 0.8269 recall@top3: 0.7917 prec@top3: 0.6154 recall@top5: 0.8910 prec@top5: 0.4231 loss_action_cls: 0.0318 2023/03/11 03:51:31 - mmengine - INFO - Epoch(train) [13][2680/4451] lr: 1.4531e-06 eta: 6:07:00 time: 0.6914 data_time: 0.0128 memory: 51970 grad_norm: 0.1331 loss: 0.0321 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7125 recall@top3: 0.7986 prec@top3: 0.5972 recall@top5: 0.9583 prec@top5: 0.4583 loss_action_cls: 0.0321 2023/03/11 03:51:43 - mmengine - INFO - Epoch(train) [13][2700/4451] lr: 1.4517e-06 eta: 6:06:46 time: 0.5921 data_time: 0.0121 memory: 51970 grad_norm: 0.1320 loss: 0.0302 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9000 recall@top3: 0.8625 prec@top3: 0.6333 recall@top5: 0.9875 prec@top5: 0.4300 loss_action_cls: 0.0302 2023/03/11 03:51:57 - mmengine - INFO - Epoch(train) [13][2720/4451] lr: 1.4504e-06 eta: 6:06:33 time: 0.7152 data_time: 0.0127 memory: 51970 grad_norm: 0.1321 loss: 0.0339 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.9412 recall@top3: 0.8971 prec@top3: 0.6078 recall@top5: 0.9118 prec@top5: 0.3765 loss_action_cls: 0.0339 2023/03/11 03:52:08 - mmengine - INFO - Epoch(train) [13][2740/4451] lr: 1.4490e-06 eta: 6:06:19 time: 0.5549 data_time: 0.0120 memory: 51970 grad_norm: 0.1400 loss: 0.0337 recall@thr=0.5: 0.5942 prec@thr=0.5: 0.6268 recall@top3: 0.7899 prec@top3: 0.6522 recall@top5: 0.9565 prec@top5: 0.4609 loss_action_cls: 0.0337 2023/03/11 03:52:21 - mmengine - INFO - Epoch(train) [13][2760/4451] lr: 1.4476e-06 eta: 6:06:05 time: 0.6284 data_time: 0.0137 memory: 51970 grad_norm: 0.1296 loss: 0.0331 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.8922 recall@top3: 0.8353 prec@top3: 0.8039 recall@top5: 0.9804 prec@top5: 0.5882 loss_action_cls: 0.0331 2023/03/11 03:52:33 - mmengine - INFO - Epoch(train) [13][2780/4451] lr: 1.4462e-06 eta: 6:05:51 time: 0.6379 data_time: 0.0126 memory: 51970 grad_norm: 0.1391 loss: 0.0294 recall@thr=0.5: 0.5467 prec@thr=0.5: 0.5400 recall@top3: 0.7467 prec@top3: 0.5867 recall@top5: 0.9067 prec@top5: 0.4400 loss_action_cls: 0.0294 2023/03/11 03:52:48 - mmengine - INFO - Epoch(train) [13][2800/4451] lr: 1.4448e-06 eta: 6:05:38 time: 0.7370 data_time: 0.0129 memory: 51970 grad_norm: 0.1338 loss: 0.0351 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7353 recall@top3: 0.8167 prec@top3: 0.6078 recall@top5: 0.9191 prec@top5: 0.4353 loss_action_cls: 0.0351 2023/03/11 03:53:00 - mmengine - INFO - Epoch(train) [13][2820/4451] lr: 1.4434e-06 eta: 6:05:24 time: 0.5687 data_time: 0.0125 memory: 51970 grad_norm: 0.1282 loss: 0.0299 recall@thr=0.5: 0.6200 prec@thr=0.5: 0.7400 recall@top3: 0.8000 prec@top3: 0.6933 recall@top5: 0.9467 prec@top5: 0.5040 loss_action_cls: 0.0299 2023/03/11 03:53:13 - mmengine - INFO - Epoch(train) [13][2840/4451] lr: 1.4420e-06 eta: 6:05:10 time: 0.6710 data_time: 0.0131 memory: 51970 grad_norm: 0.1393 loss: 0.0291 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.6737 recall@top3: 0.7456 prec@top3: 0.5263 recall@top5: 0.8947 prec@top5: 0.4211 loss_action_cls: 0.0291 2023/03/11 03:53:25 - mmengine - INFO - Epoch(train) [13][2860/4451] lr: 1.4406e-06 eta: 6:04:56 time: 0.5973 data_time: 0.0130 memory: 51970 grad_norm: 0.1323 loss: 0.0297 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.7500 recall@top3: 0.7604 prec@top3: 0.6389 recall@top5: 0.9167 prec@top5: 0.4750 loss_action_cls: 0.0297 2023/03/11 03:53:39 - mmengine - INFO - Epoch(train) [13][2880/4451] lr: 1.4392e-06 eta: 6:04:43 time: 0.7118 data_time: 0.0128 memory: 51970 grad_norm: 0.1275 loss: 0.0300 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.6000 recall@top3: 0.8000 prec@top3: 0.3778 recall@top5: 0.9333 prec@top5: 0.2667 loss_action_cls: 0.0300 2023/03/11 03:53:50 - mmengine - INFO - Epoch(train) [13][2900/4451] lr: 1.4378e-06 eta: 6:04:29 time: 0.5484 data_time: 0.0135 memory: 51970 grad_norm: 0.1300 loss: 0.0290 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6579 recall@top3: 0.8333 prec@top3: 0.7018 recall@top5: 0.9561 prec@top5: 0.4842 loss_action_cls: 0.0290 2023/03/11 03:54:05 - mmengine - INFO - Epoch(train) [13][2920/4451] lr: 1.4364e-06 eta: 6:04:16 time: 0.7198 data_time: 0.0128 memory: 51970 grad_norm: 0.1354 loss: 0.0318 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8744 recall@top3: 0.8512 prec@top3: 0.7619 recall@top5: 0.9524 prec@top5: 0.5286 loss_action_cls: 0.0318 2023/03/11 03:54:16 - mmengine - INFO - Epoch(train) [13][2940/4451] lr: 1.4350e-06 eta: 6:04:01 time: 0.5582 data_time: 0.0128 memory: 51970 grad_norm: 0.1346 loss: 0.0310 recall@thr=0.5: 0.7326 prec@thr=0.5: 0.8182 recall@top3: 0.7727 prec@top3: 0.6515 recall@top5: 0.8924 prec@top5: 0.4818 loss_action_cls: 0.0310 2023/03/11 03:54:30 - mmengine - INFO - Epoch(train) [13][2960/4451] lr: 1.4336e-06 eta: 6:03:48 time: 0.6958 data_time: 0.0128 memory: 51970 grad_norm: 0.1385 loss: 0.0291 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.8481 recall@top3: 0.7694 prec@top3: 0.8148 recall@top5: 0.9194 prec@top5: 0.6000 loss_action_cls: 0.0291 2023/03/11 03:54:43 - mmengine - INFO - Epoch(train) [13][2980/4451] lr: 1.4322e-06 eta: 6:03:35 time: 0.6514 data_time: 0.0128 memory: 51970 grad_norm: 0.1313 loss: 0.0318 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8750 recall@top3: 0.9167 prec@top3: 0.6250 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0318 2023/03/11 03:54:54 - mmengine - INFO - Epoch(train) [13][3000/4451] lr: 1.4308e-06 eta: 6:03:20 time: 0.5917 data_time: 0.0132 memory: 51970 grad_norm: 0.1349 loss: 0.0332 recall@thr=0.5: 0.9035 prec@thr=0.5: 0.8596 recall@top3: 0.9737 prec@top3: 0.8070 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0332 2023/03/11 03:55:06 - mmengine - INFO - Epoch(train) [13][3020/4451] lr: 1.4294e-06 eta: 6:03:06 time: 0.5969 data_time: 0.0133 memory: 51970 grad_norm: 0.1291 loss: 0.0289 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8056 recall@top3: 0.9352 prec@top3: 0.6111 recall@top5: 0.9630 prec@top5: 0.3889 loss_action_cls: 0.0289 2023/03/11 03:55:20 - mmengine - INFO - Epoch(train) [13][3040/4451] lr: 1.4280e-06 eta: 6:02:53 time: 0.6793 data_time: 0.0120 memory: 51970 grad_norm: 0.1312 loss: 0.0300 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8704 recall@top3: 0.8519 prec@top3: 0.5926 recall@top5: 0.9444 prec@top5: 0.4111 loss_action_cls: 0.0300 2023/03/11 03:55:32 - mmengine - INFO - Epoch(train) [13][3060/4451] lr: 1.4266e-06 eta: 6:02:39 time: 0.5936 data_time: 0.0132 memory: 51970 grad_norm: 0.1336 loss: 0.0350 recall@thr=0.5: 0.7640 prec@thr=0.5: 0.7633 recall@top3: 0.7847 prec@top3: 0.7333 recall@top5: 0.9307 prec@top5: 0.5280 loss_action_cls: 0.0350 2023/03/11 03:55:45 - mmengine - INFO - Epoch(train) [13][3080/4451] lr: 1.4252e-06 eta: 6:02:25 time: 0.6489 data_time: 0.0123 memory: 51970 grad_norm: 0.1289 loss: 0.0335 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8947 recall@top3: 0.9386 prec@top3: 0.7193 recall@top5: 0.9825 prec@top5: 0.4632 loss_action_cls: 0.0335 2023/03/11 03:55:56 - mmengine - INFO - Epoch(train) [13][3100/4451] lr: 1.4238e-06 eta: 6:02:10 time: 0.5572 data_time: 0.0120 memory: 51970 grad_norm: 0.1417 loss: 0.0336 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7897 recall@top3: 0.8690 prec@top3: 0.7937 recall@top5: 0.9881 prec@top5: 0.5429 loss_action_cls: 0.0336 2023/03/11 03:56:09 - mmengine - INFO - Epoch(train) [13][3120/4451] lr: 1.4224e-06 eta: 6:01:57 time: 0.6576 data_time: 0.0122 memory: 51970 grad_norm: 0.1293 loss: 0.0352 recall@thr=0.5: 0.8231 prec@thr=0.5: 0.9583 recall@top3: 0.8343 prec@top3: 0.7593 recall@top5: 0.9676 prec@top5: 0.5333 loss_action_cls: 0.0352 2023/03/11 03:56:22 - mmengine - INFO - Epoch(train) [13][3140/4451] lr: 1.4210e-06 eta: 6:01:43 time: 0.6296 data_time: 0.0148 memory: 51970 grad_norm: 0.1323 loss: 0.0334 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.8077 recall@top3: 0.8205 prec@top3: 0.5897 recall@top5: 0.8974 prec@top5: 0.4000 loss_action_cls: 0.0334 2023/03/11 03:56:34 - mmengine - INFO - Epoch(train) [13][3160/4451] lr: 1.4196e-06 eta: 6:01:29 time: 0.6117 data_time: 0.0124 memory: 51970 grad_norm: 0.1345 loss: 0.0269 recall@thr=0.5: 0.8788 prec@thr=0.5: 0.9167 recall@top3: 0.8712 prec@top3: 0.7576 recall@top5: 0.9848 prec@top5: 0.5273 loss_action_cls: 0.0269 2023/03/11 03:56:45 - mmengine - INFO - Epoch(train) [13][3180/4451] lr: 1.4182e-06 eta: 6:01:15 time: 0.5666 data_time: 0.0131 memory: 51970 grad_norm: 0.1341 loss: 0.0293 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8810 recall@top3: 0.9286 prec@top3: 0.7143 recall@top5: 0.9821 prec@top5: 0.4571 loss_action_cls: 0.0293 2023/03/11 03:56:58 - mmengine - INFO - Epoch(train) [13][3200/4451] lr: 1.4168e-06 eta: 6:01:01 time: 0.6406 data_time: 0.0123 memory: 51970 grad_norm: 0.1376 loss: 0.0305 recall@thr=0.5: 0.8025 prec@thr=0.5: 0.7778 recall@top3: 0.8074 prec@top3: 0.5926 recall@top5: 0.9506 prec@top5: 0.4519 loss_action_cls: 0.0305 2023/03/11 03:57:11 - mmengine - INFO - Epoch(train) [13][3220/4451] lr: 1.4154e-06 eta: 6:00:47 time: 0.6612 data_time: 0.0122 memory: 51970 grad_norm: 0.1331 loss: 0.0301 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7262 recall@top3: 0.8730 prec@top3: 0.6984 recall@top5: 0.9087 prec@top5: 0.4476 loss_action_cls: 0.0301 2023/03/11 03:57:23 - mmengine - INFO - Epoch(train) [13][3240/4451] lr: 1.4140e-06 eta: 6:00:33 time: 0.5961 data_time: 0.0120 memory: 51970 grad_norm: 0.1349 loss: 0.0292 recall@thr=0.5: 0.9412 prec@thr=0.5: 1.0000 recall@top3: 0.9412 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.5294 loss_action_cls: 0.0292 2023/03/11 03:57:36 - mmengine - INFO - Epoch(train) [13][3260/4451] lr: 1.4126e-06 eta: 6:00:19 time: 0.6345 data_time: 0.0136 memory: 51970 grad_norm: 0.1282 loss: 0.0314 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.8316 recall@top3: 0.8202 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5579 loss_action_cls: 0.0314 2023/03/11 03:57:50 - mmengine - INFO - Epoch(train) [13][3280/4451] lr: 1.4113e-06 eta: 6:00:06 time: 0.6830 data_time: 0.0127 memory: 51970 grad_norm: 0.1364 loss: 0.0330 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8235 recall@top3: 0.8353 prec@top3: 0.6667 recall@top5: 0.9804 prec@top5: 0.5059 loss_action_cls: 0.0330 2023/03/11 03:58:02 - mmengine - INFO - Epoch(train) [13][3300/4451] lr: 1.4099e-06 eta: 5:59:52 time: 0.6284 data_time: 0.0133 memory: 51970 grad_norm: 0.1313 loss: 0.0304 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7167 recall@top3: 0.8000 prec@top3: 0.5111 recall@top5: 0.8000 prec@top5: 0.3067 loss_action_cls: 0.0304 2023/03/11 03:58:15 - mmengine - INFO - Epoch(train) [13][3320/4451] lr: 1.4085e-06 eta: 5:59:39 time: 0.6318 data_time: 0.0124 memory: 51970 grad_norm: 0.1395 loss: 0.0307 recall@thr=0.5: 0.8465 prec@thr=0.5: 0.8553 recall@top3: 0.8991 prec@top3: 0.7544 recall@top5: 0.9386 prec@top5: 0.4842 loss_action_cls: 0.0307 2023/03/11 03:58:29 - mmengine - INFO - Epoch(train) [13][3340/4451] lr: 1.4071e-06 eta: 5:59:26 time: 0.6933 data_time: 0.0141 memory: 51970 grad_norm: 0.1318 loss: 0.0329 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8000 recall@top3: 0.9250 prec@top3: 0.4833 recall@top5: 0.9750 prec@top5: 0.3100 loss_action_cls: 0.0329 2023/03/11 03:58:41 - mmengine - INFO - Epoch(train) [13][3360/4451] lr: 1.4057e-06 eta: 5:59:11 time: 0.5922 data_time: 0.0121 memory: 51970 grad_norm: 0.1367 loss: 0.0324 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8611 recall@top3: 0.9111 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0324 2023/03/11 03:58:53 - mmengine - INFO - Epoch(train) [13][3380/4451] lr: 1.4043e-06 eta: 5:58:58 time: 0.6432 data_time: 0.0126 memory: 51970 grad_norm: 0.1300 loss: 0.0334 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7302 recall@top3: 0.8889 prec@top3: 0.6190 recall@top5: 0.9683 prec@top5: 0.4000 loss_action_cls: 0.0334 2023/03/11 03:59:06 - mmengine - INFO - Epoch(train) [13][3400/4451] lr: 1.4029e-06 eta: 5:58:44 time: 0.6294 data_time: 0.0124 memory: 51970 grad_norm: 0.1301 loss: 0.0352 recall@thr=0.5: 0.7446 prec@thr=0.5: 0.6774 recall@top3: 0.8414 prec@top3: 0.6237 recall@top5: 0.9489 prec@top5: 0.4258 loss_action_cls: 0.0352 2023/03/11 03:59:19 - mmengine - INFO - Epoch(train) [13][3420/4451] lr: 1.4015e-06 eta: 5:58:30 time: 0.6398 data_time: 0.0125 memory: 51970 grad_norm: 0.1394 loss: 0.0311 recall@thr=0.5: 0.7537 prec@thr=0.5: 0.7870 recall@top3: 0.8556 prec@top3: 0.6667 recall@top5: 0.9704 prec@top5: 0.4889 loss_action_cls: 0.0311 2023/03/11 03:59:30 - mmengine - INFO - Epoch(train) [13][3440/4451] lr: 1.4001e-06 eta: 5:58:16 time: 0.5528 data_time: 0.0128 memory: 51970 grad_norm: 0.1324 loss: 0.0310 recall@thr=0.5: 0.7992 prec@thr=0.5: 0.8106 recall@top3: 0.9053 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.4182 loss_action_cls: 0.0310 2023/03/11 03:59:44 - mmengine - INFO - Epoch(train) [13][3460/4451] lr: 1.3987e-06 eta: 5:58:02 time: 0.6946 data_time: 0.0133 memory: 51970 grad_norm: 0.1352 loss: 0.0281 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.9375 recall@top3: 0.8958 prec@top3: 0.7083 recall@top5: 0.9722 prec@top5: 0.4750 loss_action_cls: 0.0281 2023/03/11 03:59:56 - mmengine - INFO - Epoch(train) [13][3480/4451] lr: 1.3973e-06 eta: 5:57:48 time: 0.6083 data_time: 0.0124 memory: 51970 grad_norm: 0.1390 loss: 0.0340 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8250 recall@top3: 0.8917 prec@top3: 0.6333 recall@top5: 0.9750 prec@top5: 0.4200 loss_action_cls: 0.0340 2023/03/11 04:00:10 - mmengine - INFO - Epoch(train) [13][3500/4451] lr: 1.3959e-06 eta: 5:57:35 time: 0.6790 data_time: 0.0129 memory: 51970 grad_norm: 0.1315 loss: 0.0315 recall@thr=0.5: 0.5952 prec@thr=0.5: 0.6429 recall@top3: 0.8452 prec@top3: 0.5238 recall@top5: 0.9286 prec@top5: 0.3571 loss_action_cls: 0.0315 2023/03/11 04:00:22 - mmengine - INFO - Epoch(train) [13][3520/4451] lr: 1.3945e-06 eta: 5:57:21 time: 0.6024 data_time: 0.0123 memory: 51970 grad_norm: 0.1300 loss: 0.0320 recall@thr=0.5: 0.8917 prec@thr=0.5: 0.9000 recall@top3: 0.8958 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0320 2023/03/11 04:00:35 - mmengine - INFO - Epoch(train) [13][3540/4451] lr: 1.3931e-06 eta: 5:57:08 time: 0.6912 data_time: 0.0128 memory: 51970 grad_norm: 0.1298 loss: 0.0298 recall@thr=0.5: 0.6267 prec@thr=0.5: 0.7833 recall@top3: 0.8367 prec@top3: 0.6400 recall@top5: 0.9067 prec@top5: 0.4320 loss_action_cls: 0.0298 2023/03/11 04:00:46 - mmengine - INFO - Epoch(train) [13][3560/4451] lr: 1.3917e-06 eta: 5:56:53 time: 0.5384 data_time: 0.0119 memory: 51970 grad_norm: 0.1347 loss: 0.0306 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6493 recall@top3: 0.7609 prec@top3: 0.5797 recall@top5: 0.9783 prec@top5: 0.4348 loss_action_cls: 0.0306 2023/03/11 04:01:00 - mmengine - INFO - Epoch(train) [13][3580/4451] lr: 1.3903e-06 eta: 5:56:40 time: 0.6674 data_time: 0.0125 memory: 51970 grad_norm: 0.1286 loss: 0.0295 recall@thr=0.5: 0.8767 prec@thr=0.5: 0.8853 recall@top3: 0.9100 prec@top3: 0.8000 recall@top5: 0.9633 prec@top5: 0.5200 loss_action_cls: 0.0295 2023/03/11 04:01:04 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 04:01:11 - mmengine - INFO - Epoch(train) [13][3600/4451] lr: 1.3889e-06 eta: 5:56:25 time: 0.5869 data_time: 0.0132 memory: 51970 grad_norm: 0.1377 loss: 0.0310 recall@thr=0.5: 0.9667 prec@thr=0.5: 0.8222 recall@top3: 1.0000 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.3867 loss_action_cls: 0.0310 2023/03/11 04:01:24 - mmengine - INFO - Epoch(train) [13][3620/4451] lr: 1.3875e-06 eta: 5:56:12 time: 0.6554 data_time: 0.0134 memory: 51970 grad_norm: 0.1335 loss: 0.0319 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.9643 recall@top3: 0.9643 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0319 2023/03/11 04:01:38 - mmengine - INFO - Epoch(train) [13][3640/4451] lr: 1.3861e-06 eta: 5:55:58 time: 0.6590 data_time: 0.0126 memory: 51970 grad_norm: 0.1413 loss: 0.0291 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.6849 recall@top3: 0.7812 prec@top3: 0.6771 recall@top5: 0.9167 prec@top5: 0.4937 loss_action_cls: 0.0291 2023/03/11 04:01:50 - mmengine - INFO - Epoch(train) [13][3660/4451] lr: 1.3847e-06 eta: 5:55:45 time: 0.6381 data_time: 0.0126 memory: 51970 grad_norm: 0.1288 loss: 0.0267 recall@thr=0.5: 0.8715 prec@thr=0.5: 0.9375 recall@top3: 0.9340 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4167 loss_action_cls: 0.0267 2023/03/11 04:02:01 - mmengine - INFO - Epoch(train) [13][3680/4451] lr: 1.3834e-06 eta: 5:55:30 time: 0.5405 data_time: 0.0126 memory: 51970 grad_norm: 0.1359 loss: 0.0293 recall@thr=0.5: 0.7372 prec@thr=0.5: 0.7692 recall@top3: 0.8782 prec@top3: 0.6795 recall@top5: 0.9231 prec@top5: 0.4385 loss_action_cls: 0.0293 2023/03/11 04:02:14 - mmengine - INFO - Epoch(train) [13][3700/4451] lr: 1.3820e-06 eta: 5:55:16 time: 0.6186 data_time: 0.0120 memory: 51970 grad_norm: 0.1333 loss: 0.0316 recall@thr=0.5: 0.6736 prec@thr=0.5: 0.6319 recall@top3: 0.7951 prec@top3: 0.6528 recall@top5: 0.8889 prec@top5: 0.4417 loss_action_cls: 0.0316 2023/03/11 04:02:26 - mmengine - INFO - Epoch(train) [13][3720/4451] lr: 1.3806e-06 eta: 5:55:02 time: 0.6419 data_time: 0.0123 memory: 51970 grad_norm: 0.1390 loss: 0.0299 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.6921 recall@top3: 0.8151 prec@top3: 0.6508 recall@top5: 0.9254 prec@top5: 0.4667 loss_action_cls: 0.0299 2023/03/11 04:02:39 - mmengine - INFO - Epoch(train) [13][3740/4451] lr: 1.3792e-06 eta: 5:54:48 time: 0.6125 data_time: 0.0130 memory: 51970 grad_norm: 0.1344 loss: 0.0331 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7193 recall@top3: 0.8289 prec@top3: 0.6491 recall@top5: 0.9386 prec@top5: 0.4632 loss_action_cls: 0.0331 2023/03/11 04:02:51 - mmengine - INFO - Epoch(train) [13][3760/4451] lr: 1.3778e-06 eta: 5:54:35 time: 0.6298 data_time: 0.0123 memory: 51970 grad_norm: 0.1310 loss: 0.0309 recall@thr=0.5: 0.7717 prec@thr=0.5: 0.9275 recall@top3: 0.8406 prec@top3: 0.7826 recall@top5: 1.0000 prec@top5: 0.5826 loss_action_cls: 0.0309 2023/03/11 04:03:04 - mmengine - INFO - Epoch(train) [13][3780/4451] lr: 1.3764e-06 eta: 5:54:21 time: 0.6123 data_time: 0.0133 memory: 51970 grad_norm: 0.1364 loss: 0.0304 recall@thr=0.5: 0.7057 prec@thr=0.5: 0.8125 recall@top3: 0.9167 prec@top3: 0.6250 recall@top5: 0.9505 prec@top5: 0.3937 loss_action_cls: 0.0304 2023/03/11 04:03:15 - mmengine - INFO - Epoch(train) [13][3800/4451] lr: 1.3750e-06 eta: 5:54:06 time: 0.5717 data_time: 0.0117 memory: 51970 grad_norm: 0.1447 loss: 0.0331 recall@thr=0.5: 0.8552 prec@thr=0.5: 0.9385 recall@top3: 0.8240 prec@top3: 0.8333 recall@top5: 0.9177 prec@top5: 0.5875 loss_action_cls: 0.0331 2023/03/11 04:03:30 - mmengine - INFO - Epoch(train) [13][3820/4451] lr: 1.3736e-06 eta: 5:53:54 time: 0.7333 data_time: 0.0224 memory: 51970 grad_norm: 0.1439 loss: 0.0317 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.7667 recall@top3: 0.8556 prec@top3: 0.5333 recall@top5: 0.9778 prec@top5: 0.3733 loss_action_cls: 0.0317 2023/03/11 04:03:41 - mmengine - INFO - Epoch(train) [13][3840/4451] lr: 1.3722e-06 eta: 5:53:39 time: 0.5555 data_time: 0.0120 memory: 51970 grad_norm: 0.1349 loss: 0.0330 recall@thr=0.5: 0.7955 prec@thr=0.5: 0.8788 recall@top3: 0.8258 prec@top3: 0.5909 recall@top5: 0.9318 prec@top5: 0.4182 loss_action_cls: 0.0330 2023/03/11 04:03:54 - mmengine - INFO - Epoch(train) [13][3860/4451] lr: 1.3708e-06 eta: 5:53:26 time: 0.6710 data_time: 0.0138 memory: 51970 grad_norm: 0.1330 loss: 0.0266 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.8000 recall@top3: 0.9556 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.3733 loss_action_cls: 0.0266 2023/03/11 04:04:05 - mmengine - INFO - Epoch(train) [13][3880/4451] lr: 1.3694e-06 eta: 5:53:11 time: 0.5649 data_time: 0.0118 memory: 51970 grad_norm: 0.1347 loss: 0.0263 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.8750 recall@top3: 0.8463 prec@top3: 0.6852 recall@top5: 0.9500 prec@top5: 0.5000 loss_action_cls: 0.0263 2023/03/11 04:04:19 - mmengine - INFO - Epoch(train) [13][3900/4451] lr: 1.3680e-06 eta: 5:52:58 time: 0.6695 data_time: 0.0132 memory: 51970 grad_norm: 0.1361 loss: 0.0304 recall@thr=0.5: 0.8704 prec@thr=0.5: 1.0000 recall@top3: 0.9259 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0304 2023/03/11 04:04:31 - mmengine - INFO - Epoch(train) [13][3920/4451] lr: 1.3666e-06 eta: 5:52:44 time: 0.5993 data_time: 0.0119 memory: 51970 grad_norm: 0.1324 loss: 0.0301 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.7222 recall@top3: 0.9213 prec@top3: 0.6852 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0301 2023/03/11 04:04:44 - mmengine - INFO - Epoch(train) [13][3940/4451] lr: 1.3652e-06 eta: 5:52:30 time: 0.6541 data_time: 0.0127 memory: 51970 grad_norm: 0.1345 loss: 0.0325 recall@thr=0.5: 0.6417 prec@thr=0.5: 0.7417 recall@top3: 0.8500 prec@top3: 0.7000 recall@top5: 0.9250 prec@top5: 0.4600 loss_action_cls: 0.0325 2023/03/11 04:04:56 - mmengine - INFO - Epoch(train) [13][3960/4451] lr: 1.3638e-06 eta: 5:52:16 time: 0.5793 data_time: 0.0136 memory: 51970 grad_norm: 0.1316 loss: 0.0327 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.7065 recall@top3: 0.8514 prec@top3: 0.6087 recall@top5: 0.9783 prec@top5: 0.4087 loss_action_cls: 0.0327 2023/03/11 04:05:08 - mmengine - INFO - Epoch(train) [13][3980/4451] lr: 1.3625e-06 eta: 5:52:02 time: 0.6375 data_time: 0.0117 memory: 51970 grad_norm: 0.1384 loss: 0.0342 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8553 recall@top3: 0.8947 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0342 2023/03/11 04:05:20 - mmengine - INFO - Epoch(train) [13][4000/4451] lr: 1.3611e-06 eta: 5:51:48 time: 0.6089 data_time: 0.0139 memory: 51970 grad_norm: 0.1373 loss: 0.0312 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.6825 recall@top3: 0.7698 prec@top3: 0.5397 recall@top5: 0.8333 prec@top5: 0.3429 loss_action_cls: 0.0312 2023/03/11 04:05:33 - mmengine - INFO - Epoch(train) [13][4020/4451] lr: 1.3597e-06 eta: 5:51:34 time: 0.6165 data_time: 0.0127 memory: 51970 grad_norm: 0.1310 loss: 0.0313 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.8167 recall@top3: 0.7875 prec@top3: 0.7000 recall@top5: 0.9250 prec@top5: 0.4700 loss_action_cls: 0.0313 2023/03/11 04:05:43 - mmengine - INFO - Epoch(train) [13][4040/4451] lr: 1.3583e-06 eta: 5:51:19 time: 0.5305 data_time: 0.0132 memory: 51970 grad_norm: 0.1321 loss: 0.0290 recall@thr=0.5: 0.9688 prec@thr=0.5: 0.8750 recall@top3: 1.0000 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0290 2023/03/11 04:05:57 - mmengine - INFO - Epoch(train) [13][4060/4451] lr: 1.3569e-06 eta: 5:51:06 time: 0.6704 data_time: 0.0123 memory: 51970 grad_norm: 0.1317 loss: 0.0306 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.7990 recall@top3: 0.8725 prec@top3: 0.7255 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0306 2023/03/11 04:06:09 - mmengine - INFO - Epoch(train) [13][4080/4451] lr: 1.3555e-06 eta: 5:50:52 time: 0.5946 data_time: 0.0128 memory: 51970 grad_norm: 0.1314 loss: 0.0354 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.7647 recall@top3: 0.7941 prec@top3: 0.7647 recall@top5: 0.9216 prec@top5: 0.5412 loss_action_cls: 0.0354 2023/03/11 04:06:21 - mmengine - INFO - Epoch(train) [13][4100/4451] lr: 1.3541e-06 eta: 5:50:38 time: 0.6232 data_time: 0.0124 memory: 51970 grad_norm: 0.1317 loss: 0.0299 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9375 recall@top3: 0.8542 prec@top3: 0.6250 recall@top5: 0.9062 prec@top5: 0.4000 loss_action_cls: 0.0299 2023/03/11 04:06:32 - mmengine - INFO - Epoch(train) [13][4120/4451] lr: 1.3527e-06 eta: 5:50:23 time: 0.5460 data_time: 0.0146 memory: 51970 grad_norm: 0.1367 loss: 0.0298 recall@thr=0.5: 0.6389 prec@thr=0.5: 0.6759 recall@top3: 0.8241 prec@top3: 0.5370 recall@top5: 1.0000 prec@top5: 0.4111 loss_action_cls: 0.0298 2023/03/11 04:06:48 - mmengine - INFO - Epoch(train) [13][4140/4451] lr: 1.3513e-06 eta: 5:50:11 time: 0.7698 data_time: 0.0126 memory: 51970 grad_norm: 0.1408 loss: 0.0335 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7408 recall@top3: 0.7542 prec@top3: 0.6000 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0335 2023/03/11 04:07:01 - mmengine - INFO - Epoch(train) [13][4160/4451] lr: 1.3499e-06 eta: 5:49:58 time: 0.6630 data_time: 0.0150 memory: 51970 grad_norm: 0.1331 loss: 0.0294 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.8217 recall@top3: 0.7883 prec@top3: 0.8000 recall@top5: 0.9008 prec@top5: 0.5600 loss_action_cls: 0.0294 2023/03/11 04:07:12 - mmengine - INFO - Epoch(train) [13][4180/4451] lr: 1.3485e-06 eta: 5:49:43 time: 0.5748 data_time: 0.0115 memory: 51970 grad_norm: 0.1269 loss: 0.0321 recall@thr=0.5: 0.6018 prec@thr=0.5: 0.7763 recall@top3: 0.6860 prec@top3: 0.7018 recall@top5: 0.8956 prec@top5: 0.5368 loss_action_cls: 0.0321 2023/03/11 04:07:24 - mmengine - INFO - Epoch(train) [13][4200/4451] lr: 1.3471e-06 eta: 5:49:29 time: 0.5675 data_time: 0.0132 memory: 51970 grad_norm: 0.1400 loss: 0.0294 recall@thr=0.5: 0.4689 prec@thr=0.5: 0.6333 recall@top3: 0.9133 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0294 2023/03/11 04:07:36 - mmengine - INFO - Epoch(train) [13][4220/4451] lr: 1.3458e-06 eta: 5:49:15 time: 0.6194 data_time: 0.0128 memory: 51970 grad_norm: 0.1391 loss: 0.0319 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8235 recall@top3: 0.9216 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.4706 loss_action_cls: 0.0319 2023/03/11 04:07:49 - mmengine - INFO - Epoch(train) [13][4240/4451] lr: 1.3444e-06 eta: 5:49:02 time: 0.6646 data_time: 0.0131 memory: 51970 grad_norm: 0.1351 loss: 0.0305 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.9130 recall@top3: 0.9022 prec@top3: 0.5362 recall@top5: 0.9565 prec@top5: 0.3478 loss_action_cls: 0.0305 2023/03/11 04:08:01 - mmengine - INFO - Epoch(train) [13][4260/4451] lr: 1.3430e-06 eta: 5:48:47 time: 0.5858 data_time: 0.0120 memory: 51970 grad_norm: 0.1307 loss: 0.0270 recall@thr=0.5: 0.6954 prec@thr=0.5: 0.7989 recall@top3: 0.8276 prec@top3: 0.6322 recall@top5: 0.9483 prec@top5: 0.4483 loss_action_cls: 0.0270 2023/03/11 04:08:13 - mmengine - INFO - Epoch(train) [13][4280/4451] lr: 1.3416e-06 eta: 5:48:33 time: 0.6015 data_time: 0.0130 memory: 51970 grad_norm: 0.1330 loss: 0.0350 recall@thr=0.5: 0.7425 prec@thr=0.5: 0.7688 recall@top3: 0.7978 prec@top3: 0.8387 recall@top5: 0.9253 prec@top5: 0.6000 loss_action_cls: 0.0350 2023/03/11 04:08:25 - mmengine - INFO - Epoch(train) [13][4300/4451] lr: 1.3402e-06 eta: 5:48:19 time: 0.6117 data_time: 0.0127 memory: 51970 grad_norm: 0.1300 loss: 0.0328 recall@thr=0.5: 0.7817 prec@thr=0.5: 0.8333 recall@top3: 0.8214 prec@top3: 0.7460 recall@top5: 0.9524 prec@top5: 0.5238 loss_action_cls: 0.0328 2023/03/11 04:08:38 - mmengine - INFO - Epoch(train) [13][4320/4451] lr: 1.3388e-06 eta: 5:48:06 time: 0.6320 data_time: 0.0126 memory: 51970 grad_norm: 0.1368 loss: 0.0309 recall@thr=0.5: 0.9364 prec@thr=0.5: 0.9212 recall@top3: 0.9030 prec@top3: 0.8636 recall@top5: 0.9886 prec@top5: 0.5909 loss_action_cls: 0.0309 2023/03/11 04:08:50 - mmengine - INFO - Epoch(train) [13][4340/4451] lr: 1.3374e-06 eta: 5:47:52 time: 0.6087 data_time: 0.0467 memory: 51970 grad_norm: 0.1352 loss: 0.0343 recall@thr=0.5: 0.6264 prec@thr=0.5: 0.7361 recall@top3: 0.9000 prec@top3: 0.6389 recall@top5: 0.9292 prec@top5: 0.4000 loss_action_cls: 0.0343 2023/03/11 04:09:02 - mmengine - INFO - Epoch(train) [13][4360/4451] lr: 1.3360e-06 eta: 5:47:38 time: 0.6150 data_time: 0.1411 memory: 51970 grad_norm: 0.1383 loss: 0.0294 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.8220 recall@top3: 0.8839 prec@top3: 0.7262 recall@top5: 0.9643 prec@top5: 0.4857 loss_action_cls: 0.0294 2023/03/11 04:09:16 - mmengine - INFO - Epoch(train) [13][4380/4451] lr: 1.3346e-06 eta: 5:47:25 time: 0.6824 data_time: 0.1626 memory: 51970 grad_norm: 0.1317 loss: 0.0320 recall@thr=0.5: 0.9074 prec@thr=0.5: 0.9630 recall@top3: 1.0000 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0320 2023/03/11 04:09:28 - mmengine - INFO - Epoch(train) [13][4400/4451] lr: 1.3332e-06 eta: 5:47:10 time: 0.5796 data_time: 0.1274 memory: 51970 grad_norm: 0.1342 loss: 0.0337 recall@thr=0.5: 0.5648 prec@thr=0.5: 0.4815 recall@top3: 0.7407 prec@top3: 0.4815 recall@top5: 0.8148 prec@top5: 0.3222 loss_action_cls: 0.0337 2023/03/11 04:09:41 - mmengine - INFO - Epoch(train) [13][4420/4451] lr: 1.3318e-06 eta: 5:46:57 time: 0.6671 data_time: 0.1158 memory: 51970 grad_norm: 0.1290 loss: 0.0304 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8437 recall@top3: 0.7656 prec@top3: 0.7292 recall@top5: 0.8906 prec@top5: 0.5000 loss_action_cls: 0.0304 2023/03/11 04:09:53 - mmengine - INFO - Epoch(train) [13][4440/4451] lr: 1.3305e-06 eta: 5:46:43 time: 0.5981 data_time: 0.0642 memory: 51970 grad_norm: 0.1307 loss: 0.0312 recall@thr=0.5: 0.6609 prec@thr=0.5: 0.6724 recall@top3: 0.7701 prec@top3: 0.5287 recall@top5: 0.9655 prec@top5: 0.4069 loss_action_cls: 0.0312 2023/03/11 04:09:58 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 04:09:58 - mmengine - INFO - Epoch(train) [13][4451/4451] lr: 1.3297e-06 eta: 5:46:34 time: 0.5167 data_time: 0.0280 memory: 51970 grad_norm: 0.1296 loss: 0.0342 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.6410 recall@top3: 0.6590 prec@top3: 0.5897 recall@top5: 0.9179 prec@top5: 0.4923 loss_action_cls: 0.0342 2023/03/11 04:09:58 - mmengine - INFO - Saving checkpoint at 13 epochs 2023/03/11 04:10:04 - mmengine - INFO - Epoch(val) [13][ 20/6282] eta: 0:07:33 time: 0.0724 data_time: 0.0275 memory: 2331 2023/03/11 04:10:05 - mmengine - INFO - Epoch(val) [13][ 40/6282] eta: 0:06:32 time: 0.0533 data_time: 0.0090 memory: 2331 2023/03/11 04:10:06 - mmengine - INFO - Epoch(val) [13][ 60/6282] eta: 0:06:12 time: 0.0541 data_time: 0.0106 memory: 2331 2023/03/11 04:10:07 - mmengine - INFO - Epoch(val) [13][ 80/6282] eta: 0:06:02 time: 0.0539 data_time: 0.0101 memory: 2331 2023/03/11 04:10:08 - mmengine - INFO - Epoch(val) [13][ 100/6282] eta: 0:05:45 time: 0.0458 data_time: 0.0022 memory: 2331 2023/03/11 04:10:09 - mmengine - INFO - Epoch(val) [13][ 120/6282] eta: 0:05:44 time: 0.0562 data_time: 0.0022 memory: 2934 2023/03/11 04:10:11 - mmengine - INFO - Epoch(val) [13][ 140/6282] eta: 0:05:48 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 04:10:12 - mmengine - INFO - Epoch(val) [13][ 160/6282] eta: 0:06:10 time: 0.0860 data_time: 0.0253 memory: 2934 2023/03/11 04:10:14 - mmengine - INFO - Epoch(val) [13][ 180/6282] eta: 0:06:11 time: 0.0645 data_time: 0.0039 memory: 2934 2023/03/11 04:10:15 - mmengine - INFO - Epoch(val) [13][ 200/6282] eta: 0:06:11 time: 0.0632 data_time: 0.0024 memory: 2934 2023/03/11 04:10:16 - mmengine - INFO - Epoch(val) [13][ 220/6282] eta: 0:06:04 time: 0.0508 data_time: 0.0029 memory: 2396 2023/03/11 04:10:17 - mmengine - INFO - Epoch(val) [13][ 240/6282] eta: 0:05:59 time: 0.0511 data_time: 0.0030 memory: 2396 2023/03/11 04:10:18 - mmengine - INFO - Epoch(val) [13][ 260/6282] eta: 0:05:53 time: 0.0491 data_time: 0.0028 memory: 2396 2023/03/11 04:10:19 - mmengine - INFO - Epoch(val) [13][ 280/6282] eta: 0:05:49 time: 0.0525 data_time: 0.0031 memory: 2396 2023/03/11 04:10:20 - mmengine - INFO - Epoch(val) [13][ 300/6282] eta: 0:05:47 time: 0.0560 data_time: 0.0028 memory: 2934 2023/03/11 04:10:21 - mmengine - INFO - Epoch(val) [13][ 320/6282] eta: 0:05:47 time: 0.0630 data_time: 0.0029 memory: 2934 2023/03/11 04:10:23 - mmengine - INFO - Epoch(val) [13][ 340/6282] eta: 0:05:49 time: 0.0655 data_time: 0.0046 memory: 2934 2023/03/11 04:10:24 - mmengine - INFO - Epoch(val) [13][ 360/6282] eta: 0:05:51 time: 0.0679 data_time: 0.0078 memory: 2934 2023/03/11 04:10:26 - mmengine - INFO - Epoch(val) [13][ 380/6282] eta: 0:05:52 time: 0.0688 data_time: 0.0091 memory: 2934 2023/03/11 04:10:27 - mmengine - INFO - Epoch(val) [13][ 400/6282] eta: 0:05:51 time: 0.0603 data_time: 0.0079 memory: 2934 2023/03/11 04:10:28 - mmengine - INFO - Epoch(val) [13][ 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[13][1060/6282] eta: 0:05:17 time: 0.0540 data_time: 0.0072 memory: 2396 2023/03/11 04:11:09 - mmengine - INFO - Epoch(val) [13][1080/6282] eta: 0:05:16 time: 0.0583 data_time: 0.0132 memory: 2396 2023/03/11 04:11:10 - mmengine - INFO - Epoch(val) [13][1100/6282] eta: 0:05:14 time: 0.0566 data_time: 0.0097 memory: 2396 2023/03/11 04:11:11 - mmengine - INFO - Epoch(val) [13][1120/6282] eta: 0:05:13 time: 0.0619 data_time: 0.0168 memory: 2396 2023/03/11 04:11:12 - mmengine - INFO - Epoch(val) [13][1140/6282] eta: 0:05:11 time: 0.0542 data_time: 0.0091 memory: 2396 2023/03/11 04:11:13 - mmengine - INFO - Epoch(val) [13][1160/6282] eta: 0:05:09 time: 0.0503 data_time: 0.0047 memory: 2396 2023/03/11 04:11:14 - mmengine - INFO - Epoch(val) [13][1180/6282] eta: 0:05:07 time: 0.0501 data_time: 0.0029 memory: 2396 2023/03/11 04:11:15 - mmengine - INFO - Epoch(val) [13][1200/6282] eta: 0:05:05 time: 0.0507 data_time: 0.0036 memory: 2396 2023/03/11 04:11:16 - mmengine - INFO - Epoch(val) 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[13][3780/6282] eta: 0:02:40 time: 0.0687 data_time: 0.0083 memory: 2934 2023/03/11 04:14:08 - mmengine - INFO - Epoch(val) [13][3800/6282] eta: 0:02:38 time: 0.0653 data_time: 0.0031 memory: 2934 2023/03/11 04:14:09 - mmengine - INFO - Epoch(val) [13][3820/6282] eta: 0:02:37 time: 0.0656 data_time: 0.0035 memory: 2934 2023/03/11 04:14:10 - mmengine - INFO - Epoch(val) [13][3840/6282] eta: 0:02:36 time: 0.0636 data_time: 0.0029 memory: 2934 2023/03/11 04:14:12 - mmengine - INFO - Epoch(val) [13][3860/6282] eta: 0:02:35 time: 0.0644 data_time: 0.0031 memory: 2934 2023/03/11 04:14:13 - mmengine - INFO - Epoch(val) [13][3880/6282] eta: 0:02:33 time: 0.0641 data_time: 0.0030 memory: 2934 2023/03/11 04:14:14 - mmengine - INFO - Epoch(val) [13][3900/6282] eta: 0:02:32 time: 0.0631 data_time: 0.0026 memory: 2934 2023/03/11 04:14:15 - mmengine - INFO - Epoch(val) [13][3920/6282] eta: 0:02:31 time: 0.0630 data_time: 0.0024 memory: 2934 2023/03/11 04:14:17 - mmengine - INFO - Epoch(val) 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[13][6020/6282] eta: 0:00:16 time: 0.0856 data_time: 0.0264 memory: 2934 2023/03/11 04:16:26 - mmengine - INFO - Epoch(val) [13][6040/6282] eta: 0:00:15 time: 0.0713 data_time: 0.0107 memory: 2934 2023/03/11 04:16:28 - mmengine - INFO - Epoch(val) [13][6060/6282] eta: 0:00:14 time: 0.0652 data_time: 0.0032 memory: 2934 2023/03/11 04:16:29 - mmengine - INFO - Epoch(val) [13][6080/6282] eta: 0:00:12 time: 0.0649 data_time: 0.0031 memory: 2934 2023/03/11 04:16:30 - mmengine - INFO - Epoch(val) [13][6100/6282] eta: 0:00:11 time: 0.0642 data_time: 0.0030 memory: 2934 2023/03/11 04:16:32 - mmengine - INFO - Epoch(val) [13][6120/6282] eta: 0:00:10 time: 0.0631 data_time: 0.0025 memory: 2934 2023/03/11 04:16:33 - mmengine - INFO - Epoch(val) [13][6140/6282] eta: 0:00:08 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 04:16:34 - mmengine - INFO - Epoch(val) [13][6160/6282] eta: 0:00:07 time: 0.0625 data_time: 0.0025 memory: 2934 2023/03/11 04:16:35 - mmengine - INFO - Epoch(val) [13][6180/6282] eta: 0:00:06 time: 0.0633 data_time: 0.0023 memory: 2934 2023/03/11 04:16:37 - mmengine - INFO - Epoch(val) [13][6200/6282] eta: 0:00:05 time: 0.0622 data_time: 0.0024 memory: 2934 2023/03/11 04:16:38 - mmengine - INFO - Epoch(val) [13][6220/6282] eta: 0:00:03 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/11 04:16:39 - mmengine - INFO - Epoch(val) [13][6240/6282] eta: 0:00:02 time: 0.0614 data_time: 0.0020 memory: 2934 2023/03/11 04:16:41 - mmengine - INFO - Epoch(val) [13][6260/6282] eta: 0:00:01 time: 0.0937 data_time: 0.0019 memory: 2934 2023/03/11 04:16:42 - mmengine - INFO - Epoch(val) [13][6280/6282] eta: 0:00:00 time: 0.0607 data_time: 0.0018 memory: 2934 2023/03/11 04:19:02 - mmengine - INFO - Epoch(val) [13][6282/6282] mAP/mAP@0.5IOU: 0.3330 2023/03/11 04:19:19 - mmengine - INFO - Epoch(train) [14][ 20/4451] lr: 1.3283e-06 eta: 5:46:23 time: 0.8370 data_time: 0.2285 memory: 51970 grad_norm: 0.1281 loss: 0.0299 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.8250 recall@top3: 0.8833 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0299 2023/03/11 04:19:31 - mmengine - INFO - Epoch(train) [14][ 40/4451] lr: 1.3269e-06 eta: 5:46:09 time: 0.6183 data_time: 0.0134 memory: 51970 grad_norm: 0.1249 loss: 0.0257 recall@thr=0.5: 0.7788 prec@thr=0.5: 0.8523 recall@top3: 0.8076 prec@top3: 0.8182 recall@top5: 0.9848 prec@top5: 0.6091 loss_action_cls: 0.0257 2023/03/11 04:19:44 - mmengine - INFO - Epoch(train) [14][ 60/4451] lr: 1.3255e-06 eta: 5:45:55 time: 0.6330 data_time: 0.0133 memory: 51970 grad_norm: 0.1359 loss: 0.0325 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7444 recall@top3: 0.6444 prec@top3: 0.4444 recall@top5: 0.7778 prec@top5: 0.3467 loss_action_cls: 0.0325 2023/03/11 04:19:56 - mmengine - INFO - Epoch(train) [14][ 80/4451] lr: 1.3241e-06 eta: 5:45:41 time: 0.6159 data_time: 0.0123 memory: 51970 grad_norm: 0.1312 loss: 0.0313 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.9211 recall@top3: 0.9298 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0313 2023/03/11 04:20:09 - mmengine - INFO - Epoch(train) [14][ 100/4451] lr: 1.3227e-06 eta: 5:45:28 time: 0.6534 data_time: 0.0140 memory: 51970 grad_norm: 0.1323 loss: 0.0350 recall@thr=0.5: 0.5741 prec@thr=0.5: 0.6944 recall@top3: 0.7963 prec@top3: 0.6481 recall@top5: 0.8981 prec@top5: 0.4556 loss_action_cls: 0.0350 2023/03/11 04:20:21 - mmengine - INFO - Epoch(train) [14][ 120/4451] lr: 1.3214e-06 eta: 5:45:13 time: 0.5848 data_time: 0.0111 memory: 51970 grad_norm: 0.1344 loss: 0.0314 recall@thr=0.5: 0.7246 prec@thr=0.5: 0.7632 recall@top3: 0.9263 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4316 loss_action_cls: 0.0314 2023/03/11 04:20:32 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 04:20:33 - mmengine - INFO - Epoch(train) [14][ 140/4451] lr: 1.3200e-06 eta: 5:45:00 time: 0.6325 data_time: 0.0135 memory: 51970 grad_norm: 0.1351 loss: 0.0306 recall@thr=0.5: 0.5860 prec@thr=0.5: 0.8246 recall@top3: 0.8053 prec@top3: 0.7368 recall@top5: 0.9579 prec@top5: 0.5368 loss_action_cls: 0.0306 2023/03/11 04:20:46 - mmengine - INFO - Epoch(train) [14][ 160/4451] lr: 1.3186e-06 eta: 5:44:46 time: 0.6179 data_time: 0.0118 memory: 51970 grad_norm: 0.1302 loss: 0.0357 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6783 recall@top3: 0.7609 prec@top3: 0.5362 recall@top5: 0.9457 prec@top5: 0.3913 loss_action_cls: 0.0357 2023/03/11 04:20:59 - mmengine - INFO - Epoch(train) [14][ 180/4451] lr: 1.3172e-06 eta: 5:44:32 time: 0.6820 data_time: 0.0131 memory: 51970 grad_norm: 0.1320 loss: 0.0275 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.9079 recall@top3: 0.8816 prec@top3: 0.8421 recall@top5: 0.9737 prec@top5: 0.5789 loss_action_cls: 0.0275 2023/03/11 04:21:11 - mmengine - INFO - Epoch(train) [14][ 200/4451] lr: 1.3158e-06 eta: 5:44:18 time: 0.6001 data_time: 0.0120 memory: 51970 grad_norm: 0.1313 loss: 0.0313 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.7826 recall@top3: 0.8406 prec@top3: 0.6377 recall@top5: 0.9420 prec@top5: 0.4348 loss_action_cls: 0.0313 2023/03/11 04:21:24 - mmengine - INFO - Epoch(train) [14][ 220/4451] lr: 1.3144e-06 eta: 5:44:05 time: 0.6558 data_time: 0.0141 memory: 51970 grad_norm: 0.1349 loss: 0.0274 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8431 recall@top3: 0.8333 prec@top3: 0.7059 recall@top5: 0.9608 prec@top5: 0.4941 loss_action_cls: 0.0274 2023/03/11 04:21:36 - mmengine - INFO - Epoch(train) [14][ 240/4451] lr: 1.3130e-06 eta: 5:43:50 time: 0.5628 data_time: 0.1042 memory: 51970 grad_norm: 0.1316 loss: 0.0336 recall@thr=0.5: 0.7544 prec@thr=0.5: 0.8246 recall@top3: 0.9123 prec@top3: 0.7895 recall@top5: 0.9825 prec@top5: 0.5263 loss_action_cls: 0.0336 2023/03/11 04:21:50 - mmengine - INFO - Epoch(train) [14][ 260/4451] lr: 1.3116e-06 eta: 5:43:37 time: 0.6922 data_time: 0.0358 memory: 51970 grad_norm: 0.1341 loss: 0.0263 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8571 recall@top3: 0.9048 prec@top3: 0.6825 recall@top5: 0.9524 prec@top5: 0.4381 loss_action_cls: 0.0263 2023/03/11 04:22:02 - mmengine - INFO - Epoch(train) [14][ 280/4451] lr: 1.3102e-06 eta: 5:43:23 time: 0.6129 data_time: 0.0122 memory: 51970 grad_norm: 0.1353 loss: 0.0327 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.7803 recall@top3: 0.7576 prec@top3: 0.6818 recall@top5: 0.9280 prec@top5: 0.5091 loss_action_cls: 0.0327 2023/03/11 04:22:14 - mmengine - INFO - Epoch(train) [14][ 300/4451] lr: 1.3089e-06 eta: 5:43:09 time: 0.6008 data_time: 0.0130 memory: 51970 grad_norm: 0.1276 loss: 0.0309 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8421 recall@top3: 0.8947 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0309 2023/03/11 04:22:25 - mmengine - INFO - Epoch(train) [14][ 320/4451] lr: 1.3075e-06 eta: 5:42:55 time: 0.5773 data_time: 0.0119 memory: 51970 grad_norm: 0.1361 loss: 0.0304 recall@thr=0.5: 0.7644 prec@thr=0.5: 0.8161 recall@top3: 0.8506 prec@top3: 0.7356 recall@top5: 0.9655 prec@top5: 0.5241 loss_action_cls: 0.0304 2023/03/11 04:22:39 - mmengine - INFO - Epoch(train) [14][ 340/4451] lr: 1.3061e-06 eta: 5:42:42 time: 0.6640 data_time: 0.0241 memory: 51970 grad_norm: 0.1356 loss: 0.0345 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8667 recall@top3: 0.8500 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0345 2023/03/11 04:22:54 - mmengine - INFO - Epoch(train) [14][ 360/4451] lr: 1.3047e-06 eta: 5:42:29 time: 0.7593 data_time: 0.0129 memory: 51970 grad_norm: 0.1288 loss: 0.0291 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.7407 recall@top3: 0.8519 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0291 2023/03/11 04:23:05 - mmengine - INFO - Epoch(train) [14][ 380/4451] lr: 1.3033e-06 eta: 5:42:15 time: 0.5411 data_time: 0.0148 memory: 51970 grad_norm: 0.1370 loss: 0.0324 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7250 recall@top3: 0.7500 prec@top3: 0.5833 recall@top5: 0.8625 prec@top5: 0.4100 loss_action_cls: 0.0324 2023/03/11 04:23:17 - mmengine - INFO - Epoch(train) [14][ 400/4451] lr: 1.3019e-06 eta: 5:42:01 time: 0.6271 data_time: 0.0374 memory: 51970 grad_norm: 0.1319 loss: 0.0277 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7462 recall@top3: 0.8068 prec@top3: 0.6818 recall@top5: 1.0000 prec@top5: 0.5091 loss_action_cls: 0.0277 2023/03/11 04:23:30 - mmengine - INFO - Epoch(train) [14][ 420/4451] lr: 1.3005e-06 eta: 5:41:47 time: 0.6557 data_time: 0.2283 memory: 51970 grad_norm: 0.1310 loss: 0.0265 recall@thr=0.5: 0.7157 prec@thr=0.5: 0.8431 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.9020 prec@top5: 0.4118 loss_action_cls: 0.0265 2023/03/11 04:23:42 - mmengine - INFO - Epoch(train) [14][ 440/4451] lr: 1.2992e-06 eta: 5:41:33 time: 0.5870 data_time: 0.1312 memory: 51970 grad_norm: 0.1313 loss: 0.0315 recall@thr=0.5: 0.8690 prec@thr=0.5: 0.7143 recall@top3: 0.9405 prec@top3: 0.6071 recall@top5: 0.9643 prec@top5: 0.3786 loss_action_cls: 0.0315 2023/03/11 04:23:55 - mmengine - INFO - Epoch(train) [14][ 460/4451] lr: 1.2978e-06 eta: 5:41:20 time: 0.6443 data_time: 0.1468 memory: 51970 grad_norm: 0.1331 loss: 0.0314 recall@thr=0.5: 0.5307 prec@thr=0.5: 0.6886 recall@top3: 0.6579 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.5579 loss_action_cls: 0.0314 2023/03/11 04:24:07 - mmengine - INFO - Epoch(train) [14][ 480/4451] lr: 1.2964e-06 eta: 5:41:06 time: 0.6126 data_time: 0.1096 memory: 51970 grad_norm: 0.1294 loss: 0.0304 recall@thr=0.5: 0.8778 prec@thr=0.5: 0.7111 recall@top3: 0.9333 prec@top3: 0.5667 recall@top5: 0.9667 prec@top5: 0.3667 loss_action_cls: 0.0304 2023/03/11 04:24:20 - mmengine - INFO - Epoch(train) [14][ 500/4451] lr: 1.2950e-06 eta: 5:40:52 time: 0.6444 data_time: 0.1926 memory: 51970 grad_norm: 0.1339 loss: 0.0301 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8125 recall@top3: 0.8958 prec@top3: 0.7292 recall@top5: 0.9792 prec@top5: 0.4875 loss_action_cls: 0.0301 2023/03/11 04:24:33 - mmengine - INFO - Epoch(train) [14][ 520/4451] lr: 1.2936e-06 eta: 5:40:38 time: 0.6212 data_time: 0.1677 memory: 51970 grad_norm: 0.1333 loss: 0.0308 recall@thr=0.5: 0.7200 prec@thr=0.5: 0.8000 recall@top3: 0.9400 prec@top3: 0.6444 recall@top5: 0.9867 prec@top5: 0.4267 loss_action_cls: 0.0308 2023/03/11 04:24:45 - mmengine - INFO - Epoch(train) [14][ 540/4451] lr: 1.2922e-06 eta: 5:40:24 time: 0.6072 data_time: 0.1324 memory: 51970 grad_norm: 0.1401 loss: 0.0282 recall@thr=0.5: 0.5542 prec@thr=0.5: 0.6333 recall@top3: 0.8708 prec@top3: 0.5000 recall@top5: 0.9417 prec@top5: 0.3400 loss_action_cls: 0.0282 2023/03/11 04:24:57 - mmengine - INFO - Epoch(train) [14][ 560/4451] lr: 1.2908e-06 eta: 5:40:10 time: 0.6115 data_time: 0.1229 memory: 51970 grad_norm: 0.1386 loss: 0.0289 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8869 recall@top3: 0.8571 prec@top3: 0.5476 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0289 2023/03/11 04:25:09 - mmengine - INFO - Epoch(train) [14][ 580/4451] lr: 1.2895e-06 eta: 5:39:56 time: 0.6050 data_time: 0.1647 memory: 51970 grad_norm: 0.1370 loss: 0.0318 recall@thr=0.5: 0.5167 prec@thr=0.5: 0.4583 recall@top3: 0.6333 prec@top3: 0.4833 recall@top5: 0.7083 prec@top5: 0.3400 loss_action_cls: 0.0318 2023/03/11 04:25:23 - mmengine - INFO - Epoch(train) [14][ 600/4451] lr: 1.2881e-06 eta: 5:39:43 time: 0.6763 data_time: 0.2398 memory: 51970 grad_norm: 0.1352 loss: 0.0338 recall@thr=0.5: 0.4872 prec@thr=0.5: 0.5385 recall@top3: 0.7083 prec@top3: 0.6026 recall@top5: 0.8750 prec@top5: 0.4538 loss_action_cls: 0.0338 2023/03/11 04:25:35 - mmengine - INFO - Epoch(train) [14][ 620/4451] lr: 1.2867e-06 eta: 5:39:29 time: 0.5957 data_time: 0.1672 memory: 51970 grad_norm: 0.1298 loss: 0.0296 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7174 recall@top3: 0.8442 prec@top3: 0.6957 recall@top5: 0.9275 prec@top5: 0.4696 loss_action_cls: 0.0296 2023/03/11 04:25:48 - mmengine - INFO - Epoch(train) [14][ 640/4451] lr: 1.2853e-06 eta: 5:39:16 time: 0.6806 data_time: 0.2495 memory: 51970 grad_norm: 0.1324 loss: 0.0283 recall@thr=0.5: 0.7556 prec@thr=0.5: 0.8000 recall@top3: 0.8889 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.3867 loss_action_cls: 0.0283 2023/03/11 04:26:00 - mmengine - INFO - Epoch(train) [14][ 660/4451] lr: 1.2839e-06 eta: 5:39:02 time: 0.5954 data_time: 0.1189 memory: 51970 grad_norm: 0.1337 loss: 0.0358 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.8889 recall@top3: 0.8368 prec@top3: 0.7500 recall@top5: 0.8889 prec@top5: 0.4917 loss_action_cls: 0.0358 2023/03/11 04:26:14 - mmengine - INFO - Epoch(train) [14][ 680/4451] lr: 1.2825e-06 eta: 5:38:49 time: 0.6863 data_time: 0.2559 memory: 51970 grad_norm: 0.1372 loss: 0.0275 recall@thr=0.5: 0.7160 prec@thr=0.5: 0.8642 recall@top3: 0.8951 prec@top3: 0.6543 recall@top5: 0.9691 prec@top5: 0.4370 loss_action_cls: 0.0275 2023/03/11 04:26:27 - mmengine - INFO - Epoch(train) [14][ 700/4451] lr: 1.2811e-06 eta: 5:38:35 time: 0.6640 data_time: 0.2058 memory: 51970 grad_norm: 0.1345 loss: 0.0328 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8444 recall@top3: 0.8111 prec@top3: 0.6667 recall@top5: 0.8778 prec@top5: 0.4400 loss_action_cls: 0.0328 2023/03/11 04:26:41 - mmengine - INFO - Epoch(train) [14][ 720/4451] lr: 1.2798e-06 eta: 5:38:22 time: 0.6793 data_time: 0.2508 memory: 51970 grad_norm: 0.1374 loss: 0.0280 recall@thr=0.5: 0.8802 prec@thr=0.5: 0.8646 recall@top3: 0.8490 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0280 2023/03/11 04:26:53 - mmengine - INFO - Epoch(train) [14][ 740/4451] lr: 1.2784e-06 eta: 5:38:08 time: 0.6077 data_time: 0.1799 memory: 51970 grad_norm: 0.1297 loss: 0.0335 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7368 recall@top3: 0.8772 prec@top3: 0.7018 recall@top5: 0.9211 prec@top5: 0.4526 loss_action_cls: 0.0335 2023/03/11 04:27:05 - mmengine - INFO - Epoch(train) [14][ 760/4451] lr: 1.2770e-06 eta: 5:37:54 time: 0.6224 data_time: 0.1836 memory: 51970 grad_norm: 0.1331 loss: 0.0294 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8368 recall@top3: 0.8368 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4667 loss_action_cls: 0.0294 2023/03/11 04:27:19 - mmengine - INFO - Epoch(train) [14][ 780/4451] lr: 1.2756e-06 eta: 5:37:41 time: 0.6904 data_time: 0.2036 memory: 51970 grad_norm: 0.1315 loss: 0.0318 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8500 recall@top3: 0.8417 prec@top3: 0.6333 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0318 2023/03/11 04:27:33 - mmengine - INFO - Epoch(train) [14][ 800/4451] lr: 1.2742e-06 eta: 5:37:28 time: 0.6855 data_time: 0.2548 memory: 51970 grad_norm: 0.1431 loss: 0.0293 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9792 recall@top3: 0.9062 prec@top3: 0.6875 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0293 2023/03/11 04:27:47 - mmengine - INFO - Epoch(train) [14][ 820/4451] lr: 1.2728e-06 eta: 5:37:15 time: 0.7325 data_time: 0.2561 memory: 51970 grad_norm: 0.1381 loss: 0.0303 recall@thr=0.5: 0.7070 prec@thr=0.5: 0.7903 recall@top3: 0.8495 prec@top3: 0.6559 recall@top5: 0.8656 prec@top5: 0.4065 loss_action_cls: 0.0303 2023/03/11 04:27:59 - mmengine - INFO - Epoch(train) [14][ 840/4451] lr: 1.2715e-06 eta: 5:37:01 time: 0.5644 data_time: 0.1303 memory: 51970 grad_norm: 0.1381 loss: 0.0321 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8750 recall@top3: 0.8125 prec@top3: 0.6042 recall@top5: 0.8750 prec@top5: 0.3875 loss_action_cls: 0.0321 2023/03/11 04:28:12 - mmengine - INFO - Epoch(train) [14][ 860/4451] lr: 1.2701e-06 eta: 5:36:48 time: 0.6575 data_time: 0.2211 memory: 51970 grad_norm: 0.1414 loss: 0.0288 recall@thr=0.5: 0.6410 prec@thr=0.5: 0.7628 recall@top3: 0.7468 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.5385 loss_action_cls: 0.0288 2023/03/11 04:28:24 - mmengine - INFO - Epoch(train) [14][ 880/4451] lr: 1.2687e-06 eta: 5:36:34 time: 0.6030 data_time: 0.1246 memory: 51970 grad_norm: 0.1347 loss: 0.0331 recall@thr=0.5: 0.6823 prec@thr=0.5: 0.8125 recall@top3: 0.8229 prec@top3: 0.5625 recall@top5: 0.8854 prec@top5: 0.3625 loss_action_cls: 0.0331 2023/03/11 04:28:36 - mmengine - INFO - Epoch(train) [14][ 900/4451] lr: 1.2673e-06 eta: 5:36:20 time: 0.5995 data_time: 0.0384 memory: 51970 grad_norm: 0.1401 loss: 0.0289 recall@thr=0.5: 0.4367 prec@thr=0.5: 0.5500 recall@top3: 0.7967 prec@top3: 0.5667 recall@top5: 0.9067 prec@top5: 0.4100 loss_action_cls: 0.0289 2023/03/11 04:28:49 - mmengine - INFO - Epoch(train) [14][ 920/4451] lr: 1.2659e-06 eta: 5:36:06 time: 0.6734 data_time: 0.0150 memory: 51970 grad_norm: 0.1322 loss: 0.0331 recall@thr=0.5: 0.6706 prec@thr=0.5: 0.7857 recall@top3: 0.7976 prec@top3: 0.6984 recall@top5: 0.9087 prec@top5: 0.4952 loss_action_cls: 0.0331 2023/03/11 04:29:02 - mmengine - INFO - Epoch(train) [14][ 940/4451] lr: 1.2645e-06 eta: 5:35:53 time: 0.6511 data_time: 0.0757 memory: 51970 grad_norm: 0.1401 loss: 0.0307 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7857 recall@top3: 0.7619 prec@top3: 0.5556 recall@top5: 0.8254 prec@top5: 0.3714 loss_action_cls: 0.0307 2023/03/11 04:29:17 - mmengine - INFO - Epoch(train) [14][ 960/4451] lr: 1.2632e-06 eta: 5:35:40 time: 0.7195 data_time: 0.0121 memory: 51970 grad_norm: 0.1403 loss: 0.0295 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.5312 recall@top3: 0.7500 prec@top3: 0.5208 recall@top5: 0.9375 prec@top5: 0.3625 loss_action_cls: 0.0295 2023/03/11 04:29:31 - mmengine - INFO - Epoch(train) [14][ 980/4451] lr: 1.2618e-06 eta: 5:35:27 time: 0.6845 data_time: 0.0127 memory: 51970 grad_norm: 0.1419 loss: 0.0301 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8426 recall@top3: 0.9722 prec@top3: 0.6481 recall@top5: 0.9722 prec@top5: 0.3889 loss_action_cls: 0.0301 2023/03/11 04:29:43 - mmengine - INFO - Epoch(train) [14][1000/4451] lr: 1.2604e-06 eta: 5:35:13 time: 0.6115 data_time: 0.0136 memory: 51970 grad_norm: 0.1350 loss: 0.0296 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.9804 recall@top3: 0.8725 prec@top3: 0.7255 recall@top5: 0.9412 prec@top5: 0.4824 loss_action_cls: 0.0296 2023/03/11 04:29:56 - mmengine - INFO - Epoch(train) [14][1020/4451] lr: 1.2590e-06 eta: 5:34:59 time: 0.6507 data_time: 0.0117 memory: 51970 grad_norm: 0.1383 loss: 0.0313 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.8333 recall@top3: 0.7963 prec@top3: 0.5741 recall@top5: 0.9167 prec@top5: 0.4111 loss_action_cls: 0.0313 2023/03/11 04:30:08 - mmengine - INFO - Epoch(train) [14][1040/4451] lr: 1.2576e-06 eta: 5:34:46 time: 0.6154 data_time: 0.0138 memory: 51970 grad_norm: 0.1306 loss: 0.0313 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.8406 recall@top3: 0.8297 prec@top3: 0.6522 recall@top5: 0.9275 prec@top5: 0.4609 loss_action_cls: 0.0313 2023/03/11 04:30:21 - mmengine - INFO - Epoch(train) [14][1060/4451] lr: 1.2563e-06 eta: 5:34:32 time: 0.6442 data_time: 0.0117 memory: 51970 grad_norm: 0.1383 loss: 0.0320 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7647 recall@top3: 0.8824 prec@top3: 0.6471 recall@top5: 0.9118 prec@top5: 0.4118 loss_action_cls: 0.0320 2023/03/11 04:30:33 - mmengine - INFO - Epoch(train) [14][1080/4451] lr: 1.2549e-06 eta: 5:34:18 time: 0.5962 data_time: 0.0149 memory: 51970 grad_norm: 0.1347 loss: 0.0294 recall@thr=0.5: 0.7994 prec@thr=0.5: 0.9198 recall@top3: 0.8457 prec@top3: 0.6543 recall@top5: 0.9012 prec@top5: 0.4296 loss_action_cls: 0.0294 2023/03/11 04:30:45 - mmengine - INFO - Epoch(train) [14][1100/4451] lr: 1.2535e-06 eta: 5:34:04 time: 0.6255 data_time: 0.0116 memory: 51970 grad_norm: 0.1335 loss: 0.0332 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6863 recall@top3: 0.8431 prec@top3: 0.6667 recall@top5: 0.9510 prec@top5: 0.4471 loss_action_cls: 0.0332 2023/03/11 04:30:58 - mmengine - INFO - Epoch(train) [14][1120/4451] lr: 1.2521e-06 eta: 5:33:50 time: 0.6307 data_time: 0.0459 memory: 51970 grad_norm: 0.1367 loss: 0.0349 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8437 recall@top3: 0.8438 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0349 2023/03/11 04:31:09 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 04:31:11 - mmengine - INFO - Epoch(train) [14][1140/4451] lr: 1.2507e-06 eta: 5:33:37 time: 0.6336 data_time: 0.0120 memory: 51970 grad_norm: 0.1340 loss: 0.0289 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.7708 recall@top3: 0.8750 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0289 2023/03/11 04:31:23 - mmengine - INFO - Epoch(train) [14][1160/4451] lr: 1.2494e-06 eta: 5:33:23 time: 0.6321 data_time: 0.0125 memory: 51970 grad_norm: 0.1389 loss: 0.0299 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7879 recall@top3: 0.8409 prec@top3: 0.5909 recall@top5: 0.9773 prec@top5: 0.4273 loss_action_cls: 0.0299 2023/03/11 04:31:36 - mmengine - INFO - Epoch(train) [14][1180/4451] lr: 1.2480e-06 eta: 5:33:09 time: 0.6112 data_time: 0.0121 memory: 51970 grad_norm: 0.1381 loss: 0.0319 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.6056 recall@top3: 0.7361 prec@top3: 0.5741 recall@top5: 0.9306 prec@top5: 0.4667 loss_action_cls: 0.0319 2023/03/11 04:31:48 - mmengine - INFO - Epoch(train) [14][1200/4451] lr: 1.2466e-06 eta: 5:32:55 time: 0.6158 data_time: 0.0132 memory: 51970 grad_norm: 0.1369 loss: 0.0296 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.9222 recall@top3: 0.9000 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.3867 loss_action_cls: 0.0296 2023/03/11 04:32:02 - mmengine - INFO - Epoch(train) [14][1220/4451] lr: 1.2452e-06 eta: 5:32:42 time: 0.7051 data_time: 0.0117 memory: 51970 grad_norm: 0.1325 loss: 0.0307 recall@thr=0.5: 0.7349 prec@thr=0.5: 0.7738 recall@top3: 0.8167 prec@top3: 0.6349 recall@top5: 0.9230 prec@top5: 0.4571 loss_action_cls: 0.0307 2023/03/11 04:32:15 - mmengine - INFO - Epoch(train) [14][1240/4451] lr: 1.2438e-06 eta: 5:32:29 time: 0.6537 data_time: 0.0142 memory: 51970 grad_norm: 0.1312 loss: 0.0284 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.8070 recall@top3: 0.8246 prec@top3: 0.5965 recall@top5: 0.8596 prec@top5: 0.3789 loss_action_cls: 0.0284 2023/03/11 04:32:27 - mmengine - INFO - Epoch(train) [14][1260/4451] lr: 1.2425e-06 eta: 5:32:15 time: 0.5951 data_time: 0.0119 memory: 51970 grad_norm: 0.1313 loss: 0.0247 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8148 recall@top3: 0.9259 prec@top3: 0.6111 recall@top5: 0.9259 prec@top5: 0.3667 loss_action_cls: 0.0247 2023/03/11 04:32:39 - mmengine - INFO - Epoch(train) [14][1280/4451] lr: 1.2411e-06 eta: 5:32:01 time: 0.6191 data_time: 0.0142 memory: 51970 grad_norm: 0.1426 loss: 0.0350 recall@thr=0.5: 0.6111 prec@thr=0.5: 0.6944 recall@top3: 0.7021 prec@top3: 0.5972 recall@top5: 0.7979 prec@top5: 0.4333 loss_action_cls: 0.0350 2023/03/11 04:32:51 - mmengine - INFO - Epoch(train) [14][1300/4451] lr: 1.2397e-06 eta: 5:31:47 time: 0.5784 data_time: 0.0161 memory: 51970 grad_norm: 0.1370 loss: 0.0292 recall@thr=0.5: 0.6246 prec@thr=0.5: 0.7778 recall@top3: 0.7437 prec@top3: 0.6667 recall@top5: 0.9333 prec@top5: 0.5238 loss_action_cls: 0.0292 2023/03/11 04:33:04 - mmengine - INFO - Epoch(train) [14][1320/4451] lr: 1.2383e-06 eta: 5:31:33 time: 0.6333 data_time: 0.0134 memory: 51970 grad_norm: 0.1359 loss: 0.0303 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6979 recall@top3: 0.9531 prec@top3: 0.6458 recall@top5: 0.9844 prec@top5: 0.4000 loss_action_cls: 0.0303 2023/03/11 04:33:17 - mmengine - INFO - Epoch(train) [14][1340/4451] lr: 1.2370e-06 eta: 5:31:20 time: 0.6564 data_time: 0.0119 memory: 51970 grad_norm: 0.1342 loss: 0.0306 recall@thr=0.5: 0.9242 prec@thr=0.5: 0.8417 recall@top3: 0.8902 prec@top3: 0.8182 recall@top5: 0.9621 prec@top5: 0.5455 loss_action_cls: 0.0306 2023/03/11 04:33:28 - mmengine - INFO - Epoch(train) [14][1360/4451] lr: 1.2356e-06 eta: 5:31:05 time: 0.5674 data_time: 0.0162 memory: 51970 grad_norm: 0.1395 loss: 0.0328 recall@thr=0.5: 0.8109 prec@thr=0.5: 0.8109 recall@top3: 0.9006 prec@top3: 0.6795 recall@top5: 0.9776 prec@top5: 0.4538 loss_action_cls: 0.0328 2023/03/11 04:33:40 - mmengine - INFO - Epoch(train) [14][1380/4451] lr: 1.2342e-06 eta: 5:30:52 time: 0.6171 data_time: 0.0120 memory: 51970 grad_norm: 0.1356 loss: 0.0311 recall@thr=0.5: 0.5792 prec@thr=0.5: 0.7000 recall@top3: 0.7375 prec@top3: 0.5333 recall@top5: 0.9750 prec@top5: 0.4100 loss_action_cls: 0.0311 2023/03/11 04:33:53 - mmengine - INFO - Epoch(train) [14][1400/4451] lr: 1.2328e-06 eta: 5:30:38 time: 0.6208 data_time: 0.0133 memory: 51970 grad_norm: 0.1398 loss: 0.0305 recall@thr=0.5: 0.9762 prec@thr=0.5: 0.8929 recall@top3: 1.0000 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0305 2023/03/11 04:34:07 - mmengine - INFO - Epoch(train) [14][1420/4451] lr: 1.2314e-06 eta: 5:30:25 time: 0.6946 data_time: 0.0113 memory: 51970 grad_norm: 0.1311 loss: 0.0287 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8684 recall@top3: 0.9474 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4000 loss_action_cls: 0.0287 2023/03/11 04:34:19 - mmengine - INFO - Epoch(train) [14][1440/4451] lr: 1.2301e-06 eta: 5:30:11 time: 0.5880 data_time: 0.0134 memory: 51970 grad_norm: 0.1316 loss: 0.0343 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.7407 recall@top3: 0.9259 prec@top3: 0.5926 recall@top5: 0.9537 prec@top5: 0.3778 loss_action_cls: 0.0343 2023/03/11 04:34:31 - mmengine - INFO - Epoch(train) [14][1460/4451] lr: 1.2287e-06 eta: 5:29:57 time: 0.6186 data_time: 0.0118 memory: 51970 grad_norm: 0.1307 loss: 0.0304 recall@thr=0.5: 0.5740 prec@thr=0.5: 0.6140 recall@top3: 0.7880 prec@top3: 0.6533 recall@top5: 0.8873 prec@top5: 0.4560 loss_action_cls: 0.0304 2023/03/11 04:34:44 - mmengine - INFO - Epoch(train) [14][1480/4451] lr: 1.2273e-06 eta: 5:29:43 time: 0.6364 data_time: 0.0130 memory: 51970 grad_norm: 0.1323 loss: 0.0257 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.7302 recall@top3: 0.8016 prec@top3: 0.6032 recall@top5: 0.9603 prec@top5: 0.4571 loss_action_cls: 0.0257 2023/03/11 04:34:57 - mmengine - INFO - Epoch(train) [14][1500/4451] lr: 1.2259e-06 eta: 5:29:30 time: 0.6608 data_time: 0.0122 memory: 51970 grad_norm: 0.1340 loss: 0.0305 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9053 recall@top3: 0.9508 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.4545 loss_action_cls: 0.0305 2023/03/11 04:35:10 - mmengine - INFO - Epoch(train) [14][1520/4451] lr: 1.2246e-06 eta: 5:29:16 time: 0.6541 data_time: 0.0127 memory: 51970 grad_norm: 0.1319 loss: 0.0313 recall@thr=0.5: 0.8179 prec@thr=0.5: 0.7857 recall@top3: 0.8893 prec@top3: 0.5476 recall@top5: 0.9607 prec@top5: 0.3714 loss_action_cls: 0.0313 2023/03/11 04:35:23 - mmengine - INFO - Epoch(train) [14][1540/4451] lr: 1.2232e-06 eta: 5:29:03 time: 0.6426 data_time: 0.0133 memory: 51970 grad_norm: 0.1340 loss: 0.0297 recall@thr=0.5: 0.7099 prec@thr=0.5: 0.8519 recall@top3: 0.8889 prec@top3: 0.5679 recall@top5: 0.8889 prec@top5: 0.3407 loss_action_cls: 0.0297 2023/03/11 04:35:35 - mmengine - INFO - Epoch(train) [14][1560/4451] lr: 1.2218e-06 eta: 5:28:49 time: 0.6140 data_time: 0.0131 memory: 51970 grad_norm: 0.1258 loss: 0.0311 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.9167 recall@top3: 0.8889 prec@top3: 0.6852 recall@top5: 0.9352 prec@top5: 0.4444 loss_action_cls: 0.0311 2023/03/11 04:35:48 - mmengine - INFO - Epoch(train) [14][1580/4451] lr: 1.2204e-06 eta: 5:28:35 time: 0.6499 data_time: 0.0123 memory: 51970 grad_norm: 0.1352 loss: 0.0290 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8750 recall@top3: 0.8854 prec@top3: 0.5833 recall@top5: 0.9688 prec@top5: 0.3875 loss_action_cls: 0.0290 2023/03/11 04:36:01 - mmengine - INFO - Epoch(train) [14][1600/4451] lr: 1.2191e-06 eta: 5:28:22 time: 0.6278 data_time: 0.0121 memory: 51970 grad_norm: 0.1333 loss: 0.0309 recall@thr=0.5: 0.6957 prec@thr=0.5: 0.6928 recall@top3: 0.7587 prec@top3: 0.5942 recall@top5: 0.8978 prec@top5: 0.4348 loss_action_cls: 0.0309 2023/03/11 04:36:13 - mmengine - INFO - Epoch(train) [14][1620/4451] lr: 1.2177e-06 eta: 5:28:08 time: 0.6081 data_time: 0.0124 memory: 51970 grad_norm: 0.1407 loss: 0.0325 recall@thr=0.5: 0.5803 prec@thr=0.5: 0.7311 recall@top3: 0.8121 prec@top3: 0.6212 recall@top5: 0.9288 prec@top5: 0.4455 loss_action_cls: 0.0325 2023/03/11 04:36:24 - mmengine - INFO - Epoch(train) [14][1640/4451] lr: 1.2163e-06 eta: 5:27:53 time: 0.5743 data_time: 0.0120 memory: 51970 grad_norm: 0.1412 loss: 0.0325 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.9792 recall@top3: 0.9167 prec@top3: 0.8750 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0325 2023/03/11 04:36:37 - mmengine - INFO - Epoch(train) [14][1660/4451] lr: 1.2149e-06 eta: 5:27:40 time: 0.6239 data_time: 0.0122 memory: 51970 grad_norm: 0.1326 loss: 0.0337 recall@thr=0.5: 0.5254 prec@thr=0.5: 0.6667 recall@top3: 0.7319 prec@top3: 0.5797 recall@top5: 0.8551 prec@top5: 0.4261 loss_action_cls: 0.0337 2023/03/11 04:36:50 - mmengine - INFO - Epoch(train) [14][1680/4451] lr: 1.2136e-06 eta: 5:27:27 time: 0.6764 data_time: 0.0131 memory: 51970 grad_norm: 0.1301 loss: 0.0295 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.8947 recall@top3: 0.9474 prec@top3: 0.7544 recall@top5: 1.0000 prec@top5: 0.4842 loss_action_cls: 0.0295 2023/03/11 04:37:04 - mmengine - INFO - Epoch(train) [14][1700/4451] lr: 1.2122e-06 eta: 5:27:13 time: 0.6576 data_time: 0.0119 memory: 51970 grad_norm: 0.1387 loss: 0.0316 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.8889 recall@top3: 0.9206 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0316 2023/03/11 04:37:15 - mmengine - INFO - Epoch(train) [14][1720/4451] lr: 1.2108e-06 eta: 5:26:59 time: 0.5688 data_time: 0.0119 memory: 51970 grad_norm: 0.1342 loss: 0.0310 recall@thr=0.5: 0.5579 prec@thr=0.5: 0.5880 recall@top3: 0.6759 prec@top3: 0.5926 recall@top5: 0.8519 prec@top5: 0.4500 loss_action_cls: 0.0310 2023/03/11 04:37:26 - mmengine - INFO - Epoch(train) [14][1740/4451] lr: 1.2094e-06 eta: 5:26:45 time: 0.5716 data_time: 0.0126 memory: 51970 grad_norm: 0.1313 loss: 0.0288 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.9474 recall@top3: 0.8684 prec@top3: 0.7719 recall@top5: 0.9737 prec@top5: 0.5368 loss_action_cls: 0.0288 2023/03/11 04:37:41 - mmengine - INFO - Epoch(train) [14][1760/4451] lr: 1.2081e-06 eta: 5:26:32 time: 0.7168 data_time: 0.0121 memory: 51970 grad_norm: 0.1351 loss: 0.0303 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.7361 recall@top3: 0.8333 prec@top3: 0.6296 recall@top5: 0.8935 prec@top5: 0.4111 loss_action_cls: 0.0303 2023/03/11 04:37:52 - mmengine - INFO - Epoch(train) [14][1780/4451] lr: 1.2067e-06 eta: 5:26:17 time: 0.5425 data_time: 0.0123 memory: 51970 grad_norm: 0.1331 loss: 0.0312 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.6852 recall@top3: 0.7130 prec@top3: 0.6111 recall@top5: 0.8611 prec@top5: 0.4556 loss_action_cls: 0.0312 2023/03/11 04:38:04 - mmengine - INFO - Epoch(train) [14][1800/4451] lr: 1.2053e-06 eta: 5:26:03 time: 0.6287 data_time: 0.0126 memory: 51970 grad_norm: 0.1370 loss: 0.0306 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.7917 recall@top3: 0.8958 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0306 2023/03/11 04:38:17 - mmengine - INFO - Epoch(train) [14][1820/4451] lr: 1.2040e-06 eta: 5:25:50 time: 0.6472 data_time: 0.0136 memory: 51970 grad_norm: 0.1307 loss: 0.0313 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.8889 recall@top3: 0.9683 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0313 2023/03/11 04:38:29 - mmengine - INFO - Epoch(train) [14][1840/4451] lr: 1.2026e-06 eta: 5:25:36 time: 0.5759 data_time: 0.0122 memory: 51970 grad_norm: 0.1408 loss: 0.0321 recall@thr=0.5: 0.6778 prec@thr=0.5: 0.7083 recall@top3: 0.8528 prec@top3: 0.6333 recall@top5: 0.9417 prec@top5: 0.4267 loss_action_cls: 0.0321 2023/03/11 04:38:42 - mmengine - INFO - Epoch(train) [14][1860/4451] lr: 1.2012e-06 eta: 5:25:22 time: 0.6470 data_time: 0.0133 memory: 51970 grad_norm: 0.1340 loss: 0.0318 recall@thr=0.5: 0.5476 prec@thr=0.5: 0.6746 recall@top3: 0.7421 prec@top3: 0.6032 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0318 2023/03/11 04:38:54 - mmengine - INFO - Epoch(train) [14][1880/4451] lr: 1.1998e-06 eta: 5:25:08 time: 0.6093 data_time: 0.0121 memory: 51970 grad_norm: 0.1355 loss: 0.0263 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.8750 recall@top3: 0.9375 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.4125 loss_action_cls: 0.0263 2023/03/11 04:39:06 - mmengine - INFO - Epoch(train) [14][1900/4451] lr: 1.1985e-06 eta: 5:24:55 time: 0.6350 data_time: 0.0134 memory: 51970 grad_norm: 0.1400 loss: 0.0360 recall@thr=0.5: 0.6812 prec@thr=0.5: 0.6449 recall@top3: 0.7645 prec@top3: 0.5652 recall@top5: 0.8913 prec@top5: 0.4174 loss_action_cls: 0.0360 2023/03/11 04:39:18 - mmengine - INFO - Epoch(train) [14][1920/4451] lr: 1.1971e-06 eta: 5:24:41 time: 0.5918 data_time: 0.0117 memory: 51970 grad_norm: 0.1369 loss: 0.0323 recall@thr=0.5: 0.6683 prec@thr=0.5: 0.7083 recall@top3: 0.8133 prec@top3: 0.5833 recall@top5: 0.9400 prec@top5: 0.4400 loss_action_cls: 0.0323 2023/03/11 04:39:34 - mmengine - INFO - Epoch(train) [14][1940/4451] lr: 1.1957e-06 eta: 5:24:28 time: 0.7774 data_time: 0.0134 memory: 51970 grad_norm: 0.1334 loss: 0.0278 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8233 recall@top3: 0.9433 prec@top3: 0.8267 recall@top5: 1.0000 prec@top5: 0.5360 loss_action_cls: 0.0278 2023/03/11 04:39:44 - mmengine - INFO - Epoch(train) [14][1960/4451] lr: 1.1944e-06 eta: 5:24:13 time: 0.4899 data_time: 0.0125 memory: 51970 grad_norm: 0.1374 loss: 0.0327 recall@thr=0.5: 0.4074 prec@thr=0.5: 0.5432 recall@top3: 0.8519 prec@top3: 0.5432 recall@top5: 0.9568 prec@top5: 0.3556 loss_action_cls: 0.0327 2023/03/11 04:39:57 - mmengine - INFO - Epoch(train) [14][1980/4451] lr: 1.1930e-06 eta: 5:24:00 time: 0.6579 data_time: 0.0120 memory: 51970 grad_norm: 0.1308 loss: 0.0298 recall@thr=0.5: 0.7538 prec@thr=0.5: 0.9167 recall@top3: 0.9015 prec@top3: 0.8182 recall@top5: 0.9621 prec@top5: 0.5364 loss_action_cls: 0.0298 2023/03/11 04:40:09 - mmengine - INFO - Epoch(train) [14][2000/4451] lr: 1.1916e-06 eta: 5:23:46 time: 0.6103 data_time: 0.0128 memory: 51970 grad_norm: 0.1423 loss: 0.0316 recall@thr=0.5: 0.5517 prec@thr=0.5: 0.6207 recall@top3: 0.8420 prec@top3: 0.5402 recall@top5: 0.9138 prec@top5: 0.3724 loss_action_cls: 0.0316 2023/03/11 04:40:23 - mmengine - INFO - Epoch(train) [14][2020/4451] lr: 1.1902e-06 eta: 5:23:33 time: 0.6920 data_time: 0.0136 memory: 51970 grad_norm: 0.1386 loss: 0.0311 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6905 recall@top3: 0.8294 prec@top3: 0.6032 recall@top5: 0.9524 prec@top5: 0.4286 loss_action_cls: 0.0311 2023/03/11 04:40:34 - mmengine - INFO - Epoch(train) [14][2040/4451] lr: 1.1889e-06 eta: 5:23:19 time: 0.5666 data_time: 0.0689 memory: 51970 grad_norm: 0.1347 loss: 0.0309 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8889 recall@top3: 0.9028 prec@top3: 0.7407 recall@top5: 0.9444 prec@top5: 0.4778 loss_action_cls: 0.0309 2023/03/11 04:40:48 - mmengine - INFO - Epoch(train) [14][2060/4451] lr: 1.1875e-06 eta: 5:23:06 time: 0.6855 data_time: 0.1478 memory: 51970 grad_norm: 0.1375 loss: 0.0303 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.9545 recall@top3: 0.9659 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.3727 loss_action_cls: 0.0303 2023/03/11 04:41:01 - mmengine - INFO - Epoch(train) [14][2080/4451] lr: 1.1861e-06 eta: 5:22:52 time: 0.6437 data_time: 0.1404 memory: 51970 grad_norm: 0.1436 loss: 0.0310 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.6845 recall@top3: 0.8393 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5571 loss_action_cls: 0.0310 2023/03/11 04:41:15 - mmengine - INFO - Epoch(train) [14][2100/4451] lr: 1.1848e-06 eta: 5:22:39 time: 0.6890 data_time: 0.1676 memory: 51970 grad_norm: 0.1285 loss: 0.0283 recall@thr=0.5: 0.7509 prec@thr=0.5: 0.8935 recall@top3: 0.8065 prec@top3: 0.7963 recall@top5: 0.9333 prec@top5: 0.5778 loss_action_cls: 0.0283 2023/03/11 04:41:26 - mmengine - INFO - Epoch(train) [14][2120/4451] lr: 1.1834e-06 eta: 5:22:25 time: 0.5778 data_time: 0.1085 memory: 51970 grad_norm: 0.1383 loss: 0.0305 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.7800 recall@top3: 0.8133 prec@top3: 0.6667 recall@top5: 0.9000 prec@top5: 0.4480 loss_action_cls: 0.0305 2023/03/11 04:41:38 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 04:41:41 - mmengine - INFO - Epoch(train) [14][2140/4451] lr: 1.1820e-06 eta: 5:22:12 time: 0.7366 data_time: 0.2804 memory: 51970 grad_norm: 0.1315 loss: 0.0294 recall@thr=0.5: 0.6542 prec@thr=0.5: 0.6583 recall@top3: 0.8375 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3900 loss_action_cls: 0.0294 2023/03/11 04:41:53 - mmengine - INFO - Epoch(train) [14][2160/4451] lr: 1.1807e-06 eta: 5:21:58 time: 0.5952 data_time: 0.1457 memory: 51970 grad_norm: 0.1375 loss: 0.0287 recall@thr=0.5: 0.9420 prec@thr=0.5: 0.9384 recall@top3: 0.9783 prec@top3: 0.8261 recall@top5: 1.0000 prec@top5: 0.5130 loss_action_cls: 0.0287 2023/03/11 04:42:05 - mmengine - INFO - Epoch(train) [14][2180/4451] lr: 1.1793e-06 eta: 5:21:44 time: 0.6369 data_time: 0.1663 memory: 51970 grad_norm: 0.1295 loss: 0.0279 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9683 recall@top3: 0.8730 prec@top3: 0.8413 recall@top5: 1.0000 prec@top5: 0.5905 loss_action_cls: 0.0279 2023/03/11 04:42:17 - mmengine - INFO - Epoch(train) [14][2200/4451] lr: 1.1779e-06 eta: 5:21:30 time: 0.5868 data_time: 0.0938 memory: 51970 grad_norm: 0.1298 loss: 0.0307 recall@thr=0.5: 0.8767 prec@thr=0.5: 0.9583 recall@top3: 0.9183 prec@top3: 0.7333 recall@top5: 0.9675 prec@top5: 0.4800 loss_action_cls: 0.0307 2023/03/11 04:42:31 - mmengine - INFO - Epoch(train) [14][2220/4451] lr: 1.1766e-06 eta: 5:21:17 time: 0.6645 data_time: 0.0949 memory: 51970 grad_norm: 0.1345 loss: 0.0320 recall@thr=0.5: 0.7125 prec@thr=0.5: 0.7958 recall@top3: 0.7417 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4900 loss_action_cls: 0.0320 2023/03/11 04:42:43 - mmengine - INFO - Epoch(train) [14][2240/4451] lr: 1.1752e-06 eta: 5:21:03 time: 0.6338 data_time: 0.2048 memory: 51970 grad_norm: 0.1347 loss: 0.0314 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.8220 recall@top3: 0.7955 prec@top3: 0.7273 recall@top5: 0.9545 prec@top5: 0.5273 loss_action_cls: 0.0314 2023/03/11 04:42:57 - mmengine - INFO - Epoch(train) [14][2260/4451] lr: 1.1738e-06 eta: 5:20:50 time: 0.6989 data_time: 0.2195 memory: 51970 grad_norm: 0.1406 loss: 0.0325 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.7500 recall@top3: 0.8824 prec@top3: 0.6471 recall@top5: 0.9706 prec@top5: 0.4353 loss_action_cls: 0.0325 2023/03/11 04:43:07 - mmengine - INFO - Epoch(train) [14][2280/4451] lr: 1.1725e-06 eta: 5:20:35 time: 0.5014 data_time: 0.0729 memory: 51970 grad_norm: 0.1396 loss: 0.0312 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9000 recall@top3: 0.8556 prec@top3: 0.7556 recall@top5: 0.9778 prec@top5: 0.5067 loss_action_cls: 0.0312 2023/03/11 04:43:20 - mmengine - INFO - Epoch(train) [14][2300/4451] lr: 1.1711e-06 eta: 5:20:22 time: 0.6221 data_time: 0.1723 memory: 51970 grad_norm: 0.1394 loss: 0.0297 recall@thr=0.5: 0.7574 prec@thr=0.5: 0.7963 recall@top3: 0.9361 prec@top3: 0.6296 recall@top5: 0.9907 prec@top5: 0.4167 loss_action_cls: 0.0297 2023/03/11 04:43:33 - mmengine - INFO - Epoch(train) [14][2320/4451] lr: 1.1697e-06 eta: 5:20:08 time: 0.6645 data_time: 0.1027 memory: 51970 grad_norm: 0.1309 loss: 0.0306 recall@thr=0.5: 0.6912 prec@thr=0.5: 0.7941 recall@top3: 0.8382 prec@top3: 0.7451 recall@top5: 0.9559 prec@top5: 0.5294 loss_action_cls: 0.0306 2023/03/11 04:43:46 - mmengine - INFO - Epoch(train) [14][2340/4451] lr: 1.1684e-06 eta: 5:19:55 time: 0.6428 data_time: 0.0390 memory: 51970 grad_norm: 0.1356 loss: 0.0301 recall@thr=0.5: 0.8773 prec@thr=0.5: 0.8682 recall@top3: 0.8720 prec@top3: 0.6515 recall@top5: 0.9697 prec@top5: 0.4636 loss_action_cls: 0.0301 2023/03/11 04:43:59 - mmengine - INFO - Epoch(train) [14][2360/4451] lr: 1.1670e-06 eta: 5:19:42 time: 0.6813 data_time: 0.0138 memory: 51970 grad_norm: 0.1418 loss: 0.0301 recall@thr=0.5: 0.7532 prec@thr=0.5: 0.7801 recall@top3: 0.8718 prec@top3: 0.7564 recall@top5: 0.9519 prec@top5: 0.5000 loss_action_cls: 0.0301 2023/03/11 04:44:11 - mmengine - INFO - Epoch(train) [14][2380/4451] lr: 1.1656e-06 eta: 5:19:27 time: 0.5614 data_time: 0.0135 memory: 51970 grad_norm: 0.1337 loss: 0.0300 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.9474 recall@top3: 0.8728 prec@top3: 0.8421 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0300 2023/03/11 04:44:23 - mmengine - INFO - Epoch(train) [14][2400/4451] lr: 1.1643e-06 eta: 5:19:14 time: 0.6372 data_time: 0.0122 memory: 51970 grad_norm: 0.1357 loss: 0.0256 recall@thr=0.5: 0.7660 prec@thr=0.5: 0.9231 recall@top3: 0.8494 prec@top3: 0.6667 recall@top5: 0.9615 prec@top5: 0.4692 loss_action_cls: 0.0256 2023/03/11 04:44:37 - mmengine - INFO - Epoch(train) [14][2420/4451] lr: 1.1629e-06 eta: 5:19:00 time: 0.6741 data_time: 0.0175 memory: 51970 grad_norm: 0.1413 loss: 0.0315 recall@thr=0.5: 0.5758 prec@thr=0.5: 0.5152 recall@top3: 0.8008 prec@top3: 0.5606 recall@top5: 0.9364 prec@top5: 0.4091 loss_action_cls: 0.0315 2023/03/11 04:44:49 - mmengine - INFO - Epoch(train) [14][2440/4451] lr: 1.1615e-06 eta: 5:18:47 time: 0.6235 data_time: 0.0121 memory: 51970 grad_norm: 0.1386 loss: 0.0352 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7222 recall@top3: 0.8704 prec@top3: 0.6790 recall@top5: 0.9444 prec@top5: 0.4519 loss_action_cls: 0.0352 2023/03/11 04:45:02 - mmengine - INFO - Epoch(train) [14][2460/4451] lr: 1.1602e-06 eta: 5:18:33 time: 0.6434 data_time: 0.0137 memory: 51970 grad_norm: 0.1352 loss: 0.0308 recall@thr=0.5: 0.7070 prec@thr=0.5: 0.8605 recall@top3: 0.7912 prec@top3: 0.7544 recall@top5: 0.8947 prec@top5: 0.5368 loss_action_cls: 0.0308 2023/03/11 04:45:14 - mmengine - INFO - Epoch(train) [14][2480/4451] lr: 1.1588e-06 eta: 5:18:19 time: 0.5986 data_time: 0.0120 memory: 51970 grad_norm: 0.1327 loss: 0.0328 recall@thr=0.5: 0.5152 prec@thr=0.5: 0.7159 recall@top3: 0.7879 prec@top3: 0.6515 recall@top5: 0.9470 prec@top5: 0.5000 loss_action_cls: 0.0328 2023/03/11 04:45:29 - mmengine - INFO - Epoch(train) [14][2500/4451] lr: 1.1575e-06 eta: 5:18:07 time: 0.7279 data_time: 0.0134 memory: 51970 grad_norm: 0.1396 loss: 0.0302 recall@thr=0.5: 0.7193 prec@thr=0.5: 0.7719 recall@top3: 0.8553 prec@top3: 0.6316 recall@top5: 0.9386 prec@top5: 0.4105 loss_action_cls: 0.0302 2023/03/11 04:45:41 - mmengine - INFO - Epoch(train) [14][2520/4451] lr: 1.1561e-06 eta: 5:17:52 time: 0.5854 data_time: 0.0121 memory: 51970 grad_norm: 0.1293 loss: 0.0301 recall@thr=0.5: 0.8179 prec@thr=0.5: 0.9228 recall@top3: 0.8796 prec@top3: 0.7778 recall@top5: 0.9198 prec@top5: 0.4963 loss_action_cls: 0.0301 2023/03/11 04:45:53 - mmengine - INFO - Epoch(train) [14][2540/4451] lr: 1.1547e-06 eta: 5:17:39 time: 0.6353 data_time: 0.0133 memory: 51970 grad_norm: 0.1329 loss: 0.0323 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.8452 recall@top3: 0.9524 prec@top3: 0.5476 recall@top5: 0.9524 prec@top5: 0.3286 loss_action_cls: 0.0323 2023/03/11 04:46:05 - mmengine - INFO - Epoch(train) [14][2560/4451] lr: 1.1534e-06 eta: 5:17:25 time: 0.5973 data_time: 0.1183 memory: 51970 grad_norm: 0.1366 loss: 0.0326 recall@thr=0.5: 0.6649 prec@thr=0.5: 0.7544 recall@top3: 0.7246 prec@top3: 0.6316 recall@top5: 0.9298 prec@top5: 0.5053 loss_action_cls: 0.0326 2023/03/11 04:46:17 - mmengine - INFO - Epoch(train) [14][2580/4451] lr: 1.1520e-06 eta: 5:17:11 time: 0.5993 data_time: 0.0498 memory: 51970 grad_norm: 0.1422 loss: 0.0295 recall@thr=0.5: 0.8478 prec@thr=0.5: 0.9239 recall@top3: 0.8696 prec@top3: 0.7681 recall@top5: 0.9565 prec@top5: 0.5217 loss_action_cls: 0.0295 2023/03/11 04:46:29 - mmengine - INFO - Epoch(train) [14][2600/4451] lr: 1.1506e-06 eta: 5:16:57 time: 0.5959 data_time: 0.0568 memory: 51970 grad_norm: 0.1306 loss: 0.0327 recall@thr=0.5: 0.6316 prec@thr=0.5: 0.6228 recall@top3: 0.8421 prec@top3: 0.5439 recall@top5: 1.0000 prec@top5: 0.4105 loss_action_cls: 0.0327 2023/03/11 04:46:43 - mmengine - INFO - Epoch(train) [14][2620/4451] lr: 1.1493e-06 eta: 5:16:44 time: 0.6837 data_time: 0.0141 memory: 51970 grad_norm: 0.1351 loss: 0.0269 recall@thr=0.5: 0.9444 prec@thr=0.5: 0.9722 recall@top3: 0.9861 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0269 2023/03/11 04:46:56 - mmengine - INFO - Epoch(train) [14][2640/4451] lr: 1.1479e-06 eta: 5:16:31 time: 0.6731 data_time: 0.0493 memory: 51970 grad_norm: 0.1345 loss: 0.0285 recall@thr=0.5: 0.6014 prec@thr=0.5: 0.7391 recall@top3: 0.8261 prec@top3: 0.6377 recall@top5: 0.8913 prec@top5: 0.4174 loss_action_cls: 0.0285 2023/03/11 04:47:08 - mmengine - INFO - Epoch(train) [14][2660/4451] lr: 1.1466e-06 eta: 5:16:16 time: 0.5783 data_time: 0.0206 memory: 51970 grad_norm: 0.1400 loss: 0.0309 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7667 recall@top3: 0.7111 prec@top3: 0.5778 recall@top5: 0.9444 prec@top5: 0.4667 loss_action_cls: 0.0309 2023/03/11 04:47:21 - mmengine - INFO - Epoch(train) [14][2680/4451] lr: 1.1452e-06 eta: 5:16:03 time: 0.6659 data_time: 0.0576 memory: 51970 grad_norm: 0.1339 loss: 0.0347 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8583 recall@top3: 0.8167 prec@top3: 0.7000 recall@top5: 0.9750 prec@top5: 0.5400 loss_action_cls: 0.0347 2023/03/11 04:47:35 - mmengine - INFO - Epoch(train) [14][2700/4451] lr: 1.1438e-06 eta: 5:15:50 time: 0.6881 data_time: 0.1738 memory: 51970 grad_norm: 0.1314 loss: 0.0306 recall@thr=0.5: 0.7632 prec@thr=0.5: 0.8421 recall@top3: 0.9298 prec@top3: 0.7368 recall@top5: 0.9561 prec@top5: 0.4632 loss_action_cls: 0.0306 2023/03/11 04:47:46 - mmengine - INFO - Epoch(train) [14][2720/4451] lr: 1.1425e-06 eta: 5:15:36 time: 0.5657 data_time: 0.0705 memory: 51970 grad_norm: 0.1305 loss: 0.0322 recall@thr=0.5: 0.6133 prec@thr=0.5: 0.6967 recall@top3: 0.8667 prec@top3: 0.6533 recall@top5: 0.9267 prec@top5: 0.4240 loss_action_cls: 0.0322 2023/03/11 04:47:58 - mmengine - INFO - Epoch(train) [14][2740/4451] lr: 1.1411e-06 eta: 5:15:22 time: 0.5870 data_time: 0.0175 memory: 51970 grad_norm: 0.1350 loss: 0.0278 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7549 recall@top3: 0.7402 prec@top3: 0.7059 recall@top5: 0.9020 prec@top5: 0.5294 loss_action_cls: 0.0278 2023/03/11 04:48:12 - mmengine - INFO - Epoch(train) [14][2760/4451] lr: 1.1398e-06 eta: 5:15:09 time: 0.6882 data_time: 0.0374 memory: 51970 grad_norm: 0.1348 loss: 0.0295 recall@thr=0.5: 0.8514 prec@thr=0.5: 0.8768 recall@top3: 0.9022 prec@top3: 0.7246 recall@top5: 1.0000 prec@top5: 0.5043 loss_action_cls: 0.0295 2023/03/11 04:48:24 - mmengine - INFO - Epoch(train) [14][2780/4451] lr: 1.1384e-06 eta: 5:14:55 time: 0.5935 data_time: 0.0124 memory: 51970 grad_norm: 0.1329 loss: 0.0310 recall@thr=0.5: 0.9028 prec@thr=0.5: 0.9722 recall@top3: 0.9861 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0310 2023/03/11 04:48:38 - mmengine - INFO - Epoch(train) [14][2800/4451] lr: 1.1370e-06 eta: 5:14:42 time: 0.7423 data_time: 0.0122 memory: 51970 grad_norm: 0.1360 loss: 0.0326 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7917 recall@top3: 0.9167 prec@top3: 0.6458 recall@top5: 0.9583 prec@top5: 0.4125 loss_action_cls: 0.0326 2023/03/11 04:48:51 - mmengine - INFO - Epoch(train) [14][2820/4451] lr: 1.1357e-06 eta: 5:14:28 time: 0.6209 data_time: 0.0133 memory: 51970 grad_norm: 0.1390 loss: 0.0347 recall@thr=0.5: 0.9069 prec@thr=0.5: 0.9306 recall@top3: 0.8833 prec@top3: 0.6528 recall@top5: 0.9500 prec@top5: 0.4500 loss_action_cls: 0.0347 2023/03/11 04:49:05 - mmengine - INFO - Epoch(train) [14][2840/4451] lr: 1.1343e-06 eta: 5:14:15 time: 0.6896 data_time: 0.0121 memory: 51970 grad_norm: 0.1359 loss: 0.0308 recall@thr=0.5: 0.6548 prec@thr=0.5: 0.7143 recall@top3: 0.8294 prec@top3: 0.5079 recall@top5: 0.9524 prec@top5: 0.3714 loss_action_cls: 0.0308 2023/03/11 04:49:17 - mmengine - INFO - Epoch(train) [14][2860/4451] lr: 1.1330e-06 eta: 5:14:01 time: 0.6266 data_time: 0.0136 memory: 51970 grad_norm: 0.1420 loss: 0.0365 recall@thr=0.5: 0.3647 prec@thr=0.5: 0.4733 recall@top3: 0.7660 prec@top3: 0.5067 recall@top5: 0.9373 prec@top5: 0.3680 loss_action_cls: 0.0365 2023/03/11 04:49:29 - mmengine - INFO - Epoch(train) [14][2880/4451] lr: 1.1316e-06 eta: 5:13:48 time: 0.6098 data_time: 0.0115 memory: 51970 grad_norm: 0.1382 loss: 0.0291 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8333 recall@top3: 0.7937 prec@top3: 0.6042 recall@top5: 0.9500 prec@top5: 0.4625 loss_action_cls: 0.0291 2023/03/11 04:49:43 - mmengine - INFO - Epoch(train) [14][2900/4451] lr: 1.1303e-06 eta: 5:13:34 time: 0.6606 data_time: 0.0893 memory: 51970 grad_norm: 0.1325 loss: 0.0290 recall@thr=0.5: 0.6619 prec@thr=0.5: 0.8810 recall@top3: 0.8583 prec@top3: 0.7619 recall@top5: 0.9738 prec@top5: 0.5429 loss_action_cls: 0.0290 2023/03/11 04:49:57 - mmengine - INFO - Epoch(train) [14][2920/4451] lr: 1.1289e-06 eta: 5:13:21 time: 0.6994 data_time: 0.0422 memory: 51970 grad_norm: 0.1352 loss: 0.0289 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.8333 recall@top3: 1.0000 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.3667 loss_action_cls: 0.0289 2023/03/11 04:50:09 - mmengine - INFO - Epoch(train) [14][2940/4451] lr: 1.1275e-06 eta: 5:13:07 time: 0.6108 data_time: 0.1183 memory: 51970 grad_norm: 0.1345 loss: 0.0342 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7083 recall@top3: 0.8750 prec@top3: 0.5694 recall@top5: 0.9375 prec@top5: 0.3750 loss_action_cls: 0.0342 2023/03/11 04:50:21 - mmengine - INFO - Epoch(train) [14][2960/4451] lr: 1.1262e-06 eta: 5:12:54 time: 0.6083 data_time: 0.1568 memory: 51970 grad_norm: 0.1324 loss: 0.0313 recall@thr=0.5: 0.7524 prec@thr=0.5: 0.7429 recall@top3: 0.8333 prec@top3: 0.7810 recall@top5: 0.9357 prec@top5: 0.5429 loss_action_cls: 0.0313 2023/03/11 04:50:34 - mmengine - INFO - Epoch(train) [14][2980/4451] lr: 1.1248e-06 eta: 5:12:40 time: 0.6699 data_time: 0.2426 memory: 51970 grad_norm: 0.1403 loss: 0.0333 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.6250 recall@top3: 0.8917 prec@top3: 0.5667 recall@top5: 0.9250 prec@top5: 0.3600 loss_action_cls: 0.0333 2023/03/11 04:50:46 - mmengine - INFO - Epoch(train) [14][3000/4451] lr: 1.1235e-06 eta: 5:12:26 time: 0.5863 data_time: 0.1562 memory: 51970 grad_norm: 0.1355 loss: 0.0260 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7433 recall@top3: 0.7667 prec@top3: 0.6800 recall@top5: 0.9800 prec@top5: 0.5440 loss_action_cls: 0.0260 2023/03/11 04:51:01 - mmengine - INFO - Epoch(train) [14][3020/4451] lr: 1.1221e-06 eta: 5:12:13 time: 0.7314 data_time: 0.2967 memory: 51970 grad_norm: 0.1353 loss: 0.0293 recall@thr=0.5: 0.5769 prec@thr=0.5: 0.5769 recall@top3: 0.9231 prec@top3: 0.4872 recall@top5: 0.9231 prec@top5: 0.2923 loss_action_cls: 0.0293 2023/03/11 04:51:13 - mmengine - INFO - Epoch(train) [14][3040/4451] lr: 1.1208e-06 eta: 5:11:59 time: 0.5889 data_time: 0.1131 memory: 51970 grad_norm: 0.1359 loss: 0.0305 recall@thr=0.5: 0.5746 prec@thr=0.5: 0.7544 recall@top3: 0.8355 prec@top3: 0.6316 recall@top5: 0.9803 prec@top5: 0.4684 loss_action_cls: 0.0305 2023/03/11 04:51:27 - mmengine - INFO - Epoch(train) [14][3060/4451] lr: 1.1194e-06 eta: 5:11:46 time: 0.7016 data_time: 0.0231 memory: 51970 grad_norm: 0.1330 loss: 0.0314 recall@thr=0.5: 0.8545 prec@thr=0.5: 0.8636 recall@top3: 0.9250 prec@top3: 0.7273 recall@top5: 0.9886 prec@top5: 0.4909 loss_action_cls: 0.0314 2023/03/11 04:51:38 - mmengine - INFO - Epoch(train) [14][3080/4451] lr: 1.1181e-06 eta: 5:11:32 time: 0.5657 data_time: 0.0116 memory: 51970 grad_norm: 0.1409 loss: 0.0315 recall@thr=0.5: 0.8733 prec@thr=0.5: 0.8787 recall@top3: 0.8900 prec@top3: 0.8133 recall@top5: 0.9533 prec@top5: 0.5360 loss_action_cls: 0.0315 2023/03/11 04:51:52 - mmengine - INFO - Epoch(train) [14][3100/4451] lr: 1.1167e-06 eta: 5:11:19 time: 0.7070 data_time: 0.0143 memory: 51970 grad_norm: 0.1456 loss: 0.0309 recall@thr=0.5: 0.8600 prec@thr=0.5: 0.9733 recall@top3: 0.8800 prec@top3: 0.7333 recall@top5: 0.9533 prec@top5: 0.4960 loss_action_cls: 0.0309 2023/03/11 04:52:04 - mmengine - INFO - Epoch(train) [14][3120/4451] lr: 1.1153e-06 eta: 5:11:05 time: 0.6057 data_time: 0.0124 memory: 51970 grad_norm: 0.1312 loss: 0.0317 recall@thr=0.5: 0.5938 prec@thr=0.5: 0.6250 recall@top3: 0.7917 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0317 2023/03/11 04:52:14 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 04:52:17 - mmengine - INFO - Epoch(train) [14][3140/4451] lr: 1.1140e-06 eta: 5:10:52 time: 0.6422 data_time: 0.0114 memory: 51970 grad_norm: 0.1323 loss: 0.0308 recall@thr=0.5: 0.8389 prec@thr=0.5: 0.8000 recall@top3: 0.9278 prec@top3: 0.5778 recall@top5: 0.9667 prec@top5: 0.3733 loss_action_cls: 0.0308 2023/03/11 04:52:29 - mmengine - INFO - Epoch(train) [14][3160/4451] lr: 1.1126e-06 eta: 5:10:38 time: 0.5812 data_time: 0.0130 memory: 51970 grad_norm: 0.1306 loss: 0.0277 recall@thr=0.5: 0.7812 prec@thr=0.5: 0.8437 recall@top3: 0.8854 prec@top3: 0.6875 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0277 2023/03/11 04:52:41 - mmengine - INFO - Epoch(train) [14][3180/4451] lr: 1.1113e-06 eta: 5:10:24 time: 0.6040 data_time: 0.0131 memory: 51970 grad_norm: 0.1393 loss: 0.0307 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.6632 recall@top3: 0.8438 prec@top3: 0.5556 recall@top5: 0.9479 prec@top5: 0.3833 loss_action_cls: 0.0307 2023/03/11 04:52:56 - mmengine - INFO - Epoch(train) [14][3200/4451] lr: 1.1099e-06 eta: 5:10:11 time: 0.7416 data_time: 0.0123 memory: 51970 grad_norm: 0.1344 loss: 0.0288 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.9167 recall@top3: 0.9667 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0288 2023/03/11 04:53:10 - mmengine - INFO - Epoch(train) [14][3220/4451] lr: 1.1086e-06 eta: 5:09:59 time: 0.7438 data_time: 0.0127 memory: 51970 grad_norm: 0.1452 loss: 0.0307 recall@thr=0.5: 0.9400 prec@thr=0.5: 0.8933 recall@top3: 0.8833 prec@top3: 0.8533 recall@top5: 1.0000 prec@top5: 0.5920 loss_action_cls: 0.0307 2023/03/11 04:53:21 - mmengine - INFO - Epoch(train) [14][3240/4451] lr: 1.1072e-06 eta: 5:09:44 time: 0.5461 data_time: 0.0120 memory: 51970 grad_norm: 0.1424 loss: 0.0284 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6417 recall@top3: 0.8833 prec@top3: 0.5167 recall@top5: 0.9500 prec@top5: 0.3500 loss_action_cls: 0.0284 2023/03/11 04:53:35 - mmengine - INFO - Epoch(train) [14][3260/4451] lr: 1.1059e-06 eta: 5:09:31 time: 0.6738 data_time: 0.0129 memory: 51970 grad_norm: 0.1387 loss: 0.0280 recall@thr=0.5: 0.7692 prec@thr=0.5: 0.8846 recall@top3: 0.8718 prec@top3: 0.5897 recall@top5: 0.9231 prec@top5: 0.3846 loss_action_cls: 0.0280 2023/03/11 04:53:47 - mmengine - INFO - Epoch(train) [14][3280/4451] lr: 1.1045e-06 eta: 5:09:17 time: 0.5857 data_time: 0.0136 memory: 51970 grad_norm: 0.1366 loss: 0.0303 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9537 recall@top3: 0.8352 prec@top3: 0.8889 recall@top5: 0.9676 prec@top5: 0.6444 loss_action_cls: 0.0303 2023/03/11 04:53:58 - mmengine - INFO - Epoch(train) [14][3300/4451] lr: 1.1032e-06 eta: 5:09:03 time: 0.5927 data_time: 0.0127 memory: 51970 grad_norm: 0.1287 loss: 0.0300 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.8083 recall@top3: 0.8958 prec@top3: 0.8167 recall@top5: 0.9667 prec@top5: 0.5300 loss_action_cls: 0.0300 2023/03/11 04:54:12 - mmengine - INFO - Epoch(train) [14][3320/4451] lr: 1.1018e-06 eta: 5:08:50 time: 0.6718 data_time: 0.0140 memory: 51970 grad_norm: 0.1326 loss: 0.0304 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.9123 recall@top3: 0.9737 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.4737 loss_action_cls: 0.0304 2023/03/11 04:54:24 - mmengine - INFO - Epoch(train) [14][3340/4451] lr: 1.1005e-06 eta: 5:08:36 time: 0.6109 data_time: 0.0128 memory: 51970 grad_norm: 0.1315 loss: 0.0316 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.6961 recall@top3: 0.9216 prec@top3: 0.5686 recall@top5: 0.9706 prec@top5: 0.3647 loss_action_cls: 0.0316 2023/03/11 04:54:36 - mmengine - INFO - Epoch(train) [14][3360/4451] lr: 1.0991e-06 eta: 5:08:22 time: 0.6142 data_time: 0.0131 memory: 51970 grad_norm: 0.1383 loss: 0.0256 recall@thr=0.5: 0.9762 prec@thr=0.5: 0.9286 recall@top3: 0.9762 prec@top3: 0.5476 recall@top5: 1.0000 prec@top5: 0.3429 loss_action_cls: 0.0256 2023/03/11 04:54:50 - mmengine - INFO - Epoch(train) [14][3380/4451] lr: 1.0978e-06 eta: 5:08:09 time: 0.6697 data_time: 0.0191 memory: 51970 grad_norm: 0.1309 loss: 0.0307 recall@thr=0.5: 0.8725 prec@thr=0.5: 0.8529 recall@top3: 0.8922 prec@top3: 0.7647 recall@top5: 0.9118 prec@top5: 0.4706 loss_action_cls: 0.0307 2023/03/11 04:55:02 - mmengine - INFO - Epoch(train) [14][3400/4451] lr: 1.0964e-06 eta: 5:07:55 time: 0.6172 data_time: 0.0125 memory: 51970 grad_norm: 0.1344 loss: 0.0269 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.6944 recall@top3: 0.8819 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.4083 loss_action_cls: 0.0269 2023/03/11 04:55:14 - mmengine - INFO - Epoch(train) [14][3420/4451] lr: 1.0951e-06 eta: 5:07:41 time: 0.5957 data_time: 0.0135 memory: 51970 grad_norm: 0.1321 loss: 0.0322 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8833 recall@top3: 0.8225 prec@top3: 0.7333 recall@top5: 0.9500 prec@top5: 0.5500 loss_action_cls: 0.0322 2023/03/11 04:55:27 - mmengine - INFO - Epoch(train) [14][3440/4451] lr: 1.0937e-06 eta: 5:07:28 time: 0.6296 data_time: 0.0127 memory: 51970 grad_norm: 0.1411 loss: 0.0294 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8810 recall@top3: 0.8571 prec@top3: 0.5952 recall@top5: 0.9762 prec@top5: 0.4143 loss_action_cls: 0.0294 2023/03/11 04:55:41 - mmengine - INFO - Epoch(train) [14][3460/4451] lr: 1.0924e-06 eta: 5:07:15 time: 0.7104 data_time: 0.1537 memory: 51970 grad_norm: 0.1383 loss: 0.0299 recall@thr=0.5: 0.6930 prec@thr=0.5: 0.8070 recall@top3: 0.7763 prec@top3: 0.7193 recall@top5: 0.8684 prec@top5: 0.4842 loss_action_cls: 0.0299 2023/03/11 04:55:53 - mmengine - INFO - Epoch(train) [14][3480/4451] lr: 1.0910e-06 eta: 5:07:01 time: 0.5995 data_time: 0.1196 memory: 51970 grad_norm: 0.1360 loss: 0.0290 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7745 recall@top3: 0.8824 prec@top3: 0.7451 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0290 2023/03/11 04:56:07 - mmengine - INFO - Epoch(train) [14][3500/4451] lr: 1.0897e-06 eta: 5:06:48 time: 0.6866 data_time: 0.2598 memory: 51970 grad_norm: 0.1411 loss: 0.0311 recall@thr=0.5: 0.6324 prec@thr=0.5: 0.6176 recall@top3: 0.8186 prec@top3: 0.6471 recall@top5: 0.9118 prec@top5: 0.4353 loss_action_cls: 0.0311 2023/03/11 04:56:18 - mmengine - INFO - Epoch(train) [14][3520/4451] lr: 1.0883e-06 eta: 5:06:34 time: 0.5824 data_time: 0.1053 memory: 51970 grad_norm: 0.1321 loss: 0.0256 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7222 recall@top3: 0.8333 prec@top3: 0.7111 recall@top5: 0.9778 prec@top5: 0.5200 loss_action_cls: 0.0256 2023/03/11 04:56:31 - mmengine - INFO - Epoch(train) [14][3540/4451] lr: 1.0870e-06 eta: 5:06:20 time: 0.6253 data_time: 0.1967 memory: 51970 grad_norm: 0.1381 loss: 0.0332 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7500 recall@top3: 0.8409 prec@top3: 0.6818 recall@top5: 0.9318 prec@top5: 0.4727 loss_action_cls: 0.0332 2023/03/11 04:56:43 - mmengine - INFO - Epoch(train) [14][3560/4451] lr: 1.0857e-06 eta: 5:06:06 time: 0.5969 data_time: 0.1670 memory: 51970 grad_norm: 0.1361 loss: 0.0307 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.9020 recall@top3: 0.9706 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0307 2023/03/11 04:56:56 - mmengine - INFO - Epoch(train) [14][3580/4451] lr: 1.0843e-06 eta: 5:05:53 time: 0.6674 data_time: 0.0583 memory: 51970 grad_norm: 0.1393 loss: 0.0367 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8300 recall@top3: 0.8500 prec@top3: 0.6500 recall@top5: 0.9750 prec@top5: 0.4700 loss_action_cls: 0.0367 2023/03/11 04:57:08 - mmengine - INFO - Epoch(train) [14][3600/4451] lr: 1.0830e-06 eta: 5:05:39 time: 0.5917 data_time: 0.0124 memory: 51970 grad_norm: 0.1367 loss: 0.0319 recall@thr=0.5: 0.7304 prec@thr=0.5: 0.8631 recall@top3: 0.8792 prec@top3: 0.7262 recall@top5: 0.9881 prec@top5: 0.5143 loss_action_cls: 0.0319 2023/03/11 04:57:22 - mmengine - INFO - Epoch(train) [14][3620/4451] lr: 1.0816e-06 eta: 5:05:26 time: 0.7157 data_time: 0.0134 memory: 51970 grad_norm: 0.1348 loss: 0.0334 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8750 recall@top3: 0.8917 prec@top3: 0.6500 recall@top5: 0.9500 prec@top5: 0.4200 loss_action_cls: 0.0334 2023/03/11 04:57:34 - mmengine - INFO - Epoch(train) [14][3640/4451] lr: 1.0803e-06 eta: 5:05:12 time: 0.5667 data_time: 0.0126 memory: 51970 grad_norm: 0.1334 loss: 0.0308 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.4744 recall@top3: 0.8462 prec@top3: 0.4872 recall@top5: 0.8654 prec@top5: 0.3077 loss_action_cls: 0.0308 2023/03/11 04:57:46 - mmengine - INFO - Epoch(train) [14][3660/4451] lr: 1.0789e-06 eta: 5:04:58 time: 0.6420 data_time: 0.0120 memory: 51970 grad_norm: 0.1301 loss: 0.0283 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8542 recall@top3: 0.8750 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0283 2023/03/11 04:57:59 - mmengine - INFO - Epoch(train) [14][3680/4451] lr: 1.0776e-06 eta: 5:04:44 time: 0.6084 data_time: 0.0126 memory: 51970 grad_norm: 0.1347 loss: 0.0283 recall@thr=0.5: 0.5185 prec@thr=0.5: 0.5833 recall@top3: 0.8426 prec@top3: 0.5556 recall@top5: 0.9167 prec@top5: 0.3778 loss_action_cls: 0.0283 2023/03/11 04:58:11 - mmengine - INFO - Epoch(train) [14][3700/4451] lr: 1.0762e-06 eta: 5:04:31 time: 0.6095 data_time: 0.0126 memory: 51970 grad_norm: 0.1319 loss: 0.0319 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8194 recall@top3: 0.9306 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0319 2023/03/11 04:58:24 - mmengine - INFO - Epoch(train) [14][3720/4451] lr: 1.0749e-06 eta: 5:04:17 time: 0.6472 data_time: 0.0138 memory: 51970 grad_norm: 0.1299 loss: 0.0311 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.8333 recall@top3: 0.8913 prec@top3: 0.7971 recall@top5: 0.9638 prec@top5: 0.5304 loss_action_cls: 0.0311 2023/03/11 04:58:37 - mmengine - INFO - Epoch(train) [14][3740/4451] lr: 1.0736e-06 eta: 5:04:04 time: 0.6687 data_time: 0.0133 memory: 51970 grad_norm: 0.1382 loss: 0.0288 recall@thr=0.5: 0.6886 prec@thr=0.5: 0.8860 recall@top3: 0.8114 prec@top3: 0.7368 recall@top5: 0.9167 prec@top5: 0.5263 loss_action_cls: 0.0288 2023/03/11 04:58:50 - mmengine - INFO - Epoch(train) [14][3760/4451] lr: 1.0722e-06 eta: 5:03:50 time: 0.6248 data_time: 0.0493 memory: 51970 grad_norm: 0.1346 loss: 0.0276 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8958 recall@top3: 0.9583 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.3875 loss_action_cls: 0.0276 2023/03/11 04:59:02 - mmengine - INFO - Epoch(train) [14][3780/4451] lr: 1.0709e-06 eta: 5:03:36 time: 0.6254 data_time: 0.0392 memory: 51970 grad_norm: 0.1388 loss: 0.0331 recall@thr=0.5: 0.6095 prec@thr=0.5: 0.7976 recall@top3: 0.7524 prec@top3: 0.6667 recall@top5: 0.9119 prec@top5: 0.5143 loss_action_cls: 0.0331 2023/03/11 04:59:15 - mmengine - INFO - Epoch(train) [14][3800/4451] lr: 1.0695e-06 eta: 5:03:23 time: 0.6231 data_time: 0.1438 memory: 51970 grad_norm: 0.1381 loss: 0.0343 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7604 recall@top3: 0.6927 prec@top3: 0.6042 recall@top5: 0.9062 prec@top5: 0.4625 loss_action_cls: 0.0343 2023/03/11 04:59:28 - mmengine - INFO - Epoch(train) [14][3820/4451] lr: 1.0682e-06 eta: 5:03:10 time: 0.6765 data_time: 0.0845 memory: 51970 grad_norm: 0.1319 loss: 0.0309 recall@thr=0.5: 0.6869 prec@thr=0.5: 0.6465 recall@top3: 0.7545 prec@top3: 0.6061 recall@top5: 0.8525 prec@top5: 0.4242 loss_action_cls: 0.0309 2023/03/11 04:59:41 - mmengine - INFO - Epoch(train) [14][3840/4451] lr: 1.0668e-06 eta: 5:02:56 time: 0.6323 data_time: 0.0131 memory: 51970 grad_norm: 0.1326 loss: 0.0309 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8533 recall@top3: 0.8867 prec@top3: 0.6667 recall@top5: 0.9800 prec@top5: 0.4480 loss_action_cls: 0.0309 2023/03/11 04:59:54 - mmengine - INFO - Epoch(train) [14][3860/4451] lr: 1.0655e-06 eta: 5:02:43 time: 0.6600 data_time: 0.0127 memory: 51970 grad_norm: 0.1352 loss: 0.0304 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8235 recall@top3: 0.9314 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0304 2023/03/11 05:00:07 - mmengine - INFO - Epoch(train) [14][3880/4451] lr: 1.0642e-06 eta: 5:02:29 time: 0.6621 data_time: 0.0128 memory: 51970 grad_norm: 0.1350 loss: 0.0327 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.7361 recall@top3: 0.7694 prec@top3: 0.5926 recall@top5: 0.9333 prec@top5: 0.4556 loss_action_cls: 0.0327 2023/03/11 05:00:21 - mmengine - INFO - Epoch(train) [14][3900/4451] lr: 1.0628e-06 eta: 5:02:16 time: 0.7027 data_time: 0.0130 memory: 51970 grad_norm: 0.1416 loss: 0.0318 recall@thr=0.5: 0.7546 prec@thr=0.5: 0.7083 recall@top3: 0.7963 prec@top3: 0.6481 recall@top5: 0.9861 prec@top5: 0.4667 loss_action_cls: 0.0318 2023/03/11 05:00:33 - mmengine - INFO - Epoch(train) [14][3920/4451] lr: 1.0615e-06 eta: 5:02:02 time: 0.6108 data_time: 0.0127 memory: 51970 grad_norm: 0.1313 loss: 0.0276 recall@thr=0.5: 0.8315 prec@thr=0.5: 0.8519 recall@top3: 0.8481 prec@top3: 0.7222 recall@top5: 0.9028 prec@top5: 0.4778 loss_action_cls: 0.0276 2023/03/11 05:00:46 - mmengine - INFO - Epoch(train) [14][3940/4451] lr: 1.0601e-06 eta: 5:01:49 time: 0.6227 data_time: 0.0748 memory: 51970 grad_norm: 0.1339 loss: 0.0289 recall@thr=0.5: 0.6790 prec@thr=0.5: 0.7016 recall@top3: 0.7656 prec@top3: 0.7419 recall@top5: 0.9570 prec@top5: 0.5935 loss_action_cls: 0.0289 2023/03/11 05:01:00 - mmengine - INFO - Epoch(train) [14][3960/4451] lr: 1.0588e-06 eta: 5:01:36 time: 0.6978 data_time: 0.2662 memory: 51970 grad_norm: 0.1339 loss: 0.0311 recall@thr=0.5: 0.7470 prec@thr=0.5: 0.8674 recall@top3: 0.7811 prec@top3: 0.7879 recall@top5: 0.9076 prec@top5: 0.5455 loss_action_cls: 0.0311 2023/03/11 05:01:12 - mmengine - INFO - Epoch(train) [14][3980/4451] lr: 1.0575e-06 eta: 5:01:22 time: 0.6028 data_time: 0.1771 memory: 51970 grad_norm: 0.1314 loss: 0.0291 recall@thr=0.5: 0.7563 prec@thr=0.5: 0.7344 recall@top3: 0.7521 prec@top3: 0.5417 recall@top5: 0.9542 prec@top5: 0.4000 loss_action_cls: 0.0291 2023/03/11 05:01:24 - mmengine - INFO - Epoch(train) [14][4000/4451] lr: 1.0561e-06 eta: 5:01:08 time: 0.6081 data_time: 0.1828 memory: 51970 grad_norm: 0.1318 loss: 0.0285 recall@thr=0.5: 0.9083 prec@thr=0.5: 0.9208 recall@top3: 0.9542 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.4500 loss_action_cls: 0.0285 2023/03/11 05:01:37 - mmengine - INFO - Epoch(train) [14][4020/4451] lr: 1.0548e-06 eta: 5:00:54 time: 0.6226 data_time: 0.1932 memory: 51970 grad_norm: 0.1348 loss: 0.0312 recall@thr=0.5: 0.7803 prec@thr=0.5: 0.8447 recall@top3: 0.8409 prec@top3: 0.6515 recall@top5: 0.9848 prec@top5: 0.4636 loss_action_cls: 0.0312 2023/03/11 05:01:49 - mmengine - INFO - Epoch(train) [14][4040/4451] lr: 1.0535e-06 eta: 5:00:41 time: 0.6361 data_time: 0.2081 memory: 51970 grad_norm: 0.1324 loss: 0.0314 recall@thr=0.5: 0.7536 prec@thr=0.5: 0.6449 recall@top3: 0.7899 prec@top3: 0.6957 recall@top5: 0.9348 prec@top5: 0.5217 loss_action_cls: 0.0314 2023/03/11 05:02:01 - mmengine - INFO - Epoch(train) [14][4060/4451] lr: 1.0521e-06 eta: 5:00:27 time: 0.5898 data_time: 0.1492 memory: 51970 grad_norm: 0.1370 loss: 0.0334 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7321 recall@top3: 0.7228 prec@top3: 0.6667 recall@top5: 0.9309 prec@top5: 0.5333 loss_action_cls: 0.0334 2023/03/11 05:02:15 - mmengine - INFO - Epoch(train) [14][4080/4451] lr: 1.0508e-06 eta: 5:00:14 time: 0.6792 data_time: 0.0566 memory: 51970 grad_norm: 0.1399 loss: 0.0305 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.9062 recall@top3: 0.9062 prec@top3: 0.7500 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0305 2023/03/11 05:02:26 - mmengine - INFO - Epoch(train) [14][4100/4451] lr: 1.0494e-06 eta: 5:00:00 time: 0.5865 data_time: 0.0117 memory: 51970 grad_norm: 0.1335 loss: 0.0303 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8827 recall@top3: 0.9167 prec@top3: 0.7901 recall@top5: 0.9630 prec@top5: 0.5111 loss_action_cls: 0.0303 2023/03/11 05:02:39 - mmengine - INFO - Epoch(train) [14][4120/4451] lr: 1.0481e-06 eta: 4:59:46 time: 0.6088 data_time: 0.0215 memory: 51970 grad_norm: 0.1323 loss: 0.0291 recall@thr=0.5: 0.8640 prec@thr=0.5: 0.8158 recall@top3: 0.9079 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0291 2023/03/11 05:02:49 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 05:02:51 - mmengine - INFO - Epoch(train) [14][4140/4451] lr: 1.0468e-06 eta: 4:59:32 time: 0.6349 data_time: 0.0310 memory: 51970 grad_norm: 0.1377 loss: 0.0332 recall@thr=0.5: 0.5294 prec@thr=0.5: 0.5196 recall@top3: 0.7765 prec@top3: 0.5490 recall@top5: 0.9324 prec@top5: 0.4471 loss_action_cls: 0.0332 2023/03/11 05:03:04 - mmengine - INFO - Epoch(train) [14][4160/4451] lr: 1.0454e-06 eta: 4:59:19 time: 0.6293 data_time: 0.0258 memory: 51970 grad_norm: 0.1438 loss: 0.0290 recall@thr=0.5: 0.7652 prec@thr=0.5: 0.8333 recall@top3: 0.8409 prec@top3: 0.6364 recall@top5: 0.9773 prec@top5: 0.4545 loss_action_cls: 0.0290 2023/03/11 05:03:16 - mmengine - INFO - Epoch(train) [14][4180/4451] lr: 1.0441e-06 eta: 4:59:05 time: 0.6219 data_time: 0.0124 memory: 51970 grad_norm: 0.1354 loss: 0.0269 recall@thr=0.5: 0.7455 prec@thr=0.5: 0.8005 recall@top3: 0.8495 prec@top3: 0.7273 recall@top5: 0.9788 prec@top5: 0.5212 loss_action_cls: 0.0269 2023/03/11 05:03:29 - mmengine - INFO - Epoch(train) [14][4200/4451] lr: 1.0428e-06 eta: 4:58:51 time: 0.6353 data_time: 0.0133 memory: 51970 grad_norm: 0.1354 loss: 0.0294 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.7240 recall@top3: 0.9062 prec@top3: 0.6458 recall@top5: 0.9688 prec@top5: 0.4250 loss_action_cls: 0.0294 2023/03/11 05:03:42 - mmengine - INFO - Epoch(train) [14][4220/4451] lr: 1.0414e-06 eta: 4:58:38 time: 0.6279 data_time: 0.0117 memory: 51970 grad_norm: 0.1352 loss: 0.0310 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.9333 recall@top3: 0.8778 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4133 loss_action_cls: 0.0310 2023/03/11 05:03:54 - mmengine - INFO - Epoch(train) [14][4240/4451] lr: 1.0401e-06 eta: 4:58:24 time: 0.6000 data_time: 0.0125 memory: 51970 grad_norm: 0.1368 loss: 0.0300 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.8704 recall@top3: 0.8519 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0300 2023/03/11 05:04:05 - mmengine - INFO - Epoch(train) [14][4260/4451] lr: 1.0388e-06 eta: 4:58:10 time: 0.5654 data_time: 0.0128 memory: 51970 grad_norm: 0.1326 loss: 0.0285 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8125 recall@top3: 1.0000 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3500 loss_action_cls: 0.0285 2023/03/11 05:04:17 - mmengine - INFO - Epoch(train) [14][4280/4451] lr: 1.0374e-06 eta: 4:57:56 time: 0.6139 data_time: 0.0126 memory: 51970 grad_norm: 0.1360 loss: 0.0306 recall@thr=0.5: 0.7542 prec@thr=0.5: 0.8417 recall@top3: 0.8333 prec@top3: 0.6833 recall@top5: 0.9167 prec@top5: 0.4600 loss_action_cls: 0.0306 2023/03/11 05:04:31 - mmengine - INFO - Epoch(train) [14][4300/4451] lr: 1.0361e-06 eta: 4:57:43 time: 0.6653 data_time: 0.0132 memory: 51970 grad_norm: 0.1322 loss: 0.0292 recall@thr=0.5: 0.5333 prec@thr=0.5: 0.6811 recall@top3: 0.9333 prec@top3: 0.6889 recall@top5: 0.9833 prec@top5: 0.4533 loss_action_cls: 0.0292 2023/03/11 05:04:45 - mmengine - INFO - Epoch(train) [14][4320/4451] lr: 1.0348e-06 eta: 4:57:30 time: 0.7146 data_time: 0.0585 memory: 51970 grad_norm: 0.1331 loss: 0.0309 recall@thr=0.5: 0.8342 prec@thr=0.5: 0.8386 recall@top3: 0.7825 prec@top3: 0.7544 recall@top5: 0.9719 prec@top5: 0.6000 loss_action_cls: 0.0309 2023/03/11 05:04:57 - mmengine - INFO - Epoch(train) [14][4340/4451] lr: 1.0334e-06 eta: 4:57:16 time: 0.6268 data_time: 0.0147 memory: 51970 grad_norm: 0.1394 loss: 0.0304 recall@thr=0.5: 0.7197 prec@thr=0.5: 0.8030 recall@top3: 0.7879 prec@top3: 0.7121 recall@top5: 0.8712 prec@top5: 0.4818 loss_action_cls: 0.0304 2023/03/11 05:05:11 - mmengine - INFO - Epoch(train) [14][4360/4451] lr: 1.0321e-06 eta: 4:57:03 time: 0.6952 data_time: 0.0117 memory: 51970 grad_norm: 0.1437 loss: 0.0301 recall@thr=0.5: 0.9667 prec@thr=0.5: 0.9667 recall@top3: 0.9500 prec@top3: 0.5778 recall@top5: 1.0000 prec@top5: 0.3867 loss_action_cls: 0.0301 2023/03/11 05:05:23 - mmengine - INFO - Epoch(train) [14][4380/4451] lr: 1.0308e-06 eta: 4:56:49 time: 0.6035 data_time: 0.0134 memory: 51970 grad_norm: 0.1431 loss: 0.0276 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9091 recall@top3: 0.7955 prec@top3: 0.7424 recall@top5: 0.9697 prec@top5: 0.5636 loss_action_cls: 0.0276 2023/03/11 05:05:36 - mmengine - INFO - Epoch(train) [14][4400/4451] lr: 1.0294e-06 eta: 4:56:36 time: 0.6544 data_time: 0.0120 memory: 51970 grad_norm: 0.1366 loss: 0.0293 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7708 recall@top3: 0.8438 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0293 2023/03/11 05:05:47 - mmengine - INFO - Epoch(train) [14][4420/4451] lr: 1.0281e-06 eta: 4:56:22 time: 0.5299 data_time: 0.0129 memory: 51970 grad_norm: 0.1330 loss: 0.0322 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8854 recall@top3: 0.8750 prec@top3: 0.6042 recall@top5: 1.0000 prec@top5: 0.4375 loss_action_cls: 0.0322 2023/03/11 05:06:00 - mmengine - INFO - Epoch(train) [14][4440/4451] lr: 1.0268e-06 eta: 4:56:08 time: 0.6490 data_time: 0.0139 memory: 51970 grad_norm: 0.1390 loss: 0.0333 recall@thr=0.5: 0.5556 prec@thr=0.5: 0.5694 recall@top3: 0.7292 prec@top3: 0.5833 recall@top5: 0.8264 prec@top5: 0.4083 loss_action_cls: 0.0333 2023/03/11 05:06:05 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 05:06:05 - mmengine - INFO - Epoch(train) [14][4451/4451] lr: 1.0261e-06 eta: 4:56:00 time: 0.4882 data_time: 0.0113 memory: 51970 grad_norm: 0.1368 loss: 0.0336 recall@thr=0.5: 0.6204 prec@thr=0.5: 0.7963 recall@top3: 0.8148 prec@top3: 0.7222 recall@top5: 0.9491 prec@top5: 0.5222 loss_action_cls: 0.0336 2023/03/11 05:06:05 - mmengine - INFO - Saving checkpoint at 14 epochs 2023/03/11 05:06:11 - mmengine - INFO - Epoch(val) [14][ 20/6282] eta: 0:08:53 time: 0.0853 data_time: 0.0396 memory: 2331 2023/03/11 05:06:12 - mmengine - INFO - Epoch(val) [14][ 40/6282] eta: 0:07:15 time: 0.0542 data_time: 0.0101 memory: 2331 2023/03/11 05:06:14 - mmengine - INFO - Epoch(val) [14][ 60/6282] eta: 0:06:44 time: 0.0558 data_time: 0.0127 memory: 2331 2023/03/11 05:06:15 - mmengine - INFO - Epoch(val) [14][ 80/6282] eta: 0:06:21 time: 0.0509 data_time: 0.0073 memory: 2331 2023/03/11 05:06:16 - mmengine - INFO - Epoch(val) [14][ 100/6282] eta: 0:06:04 time: 0.0486 data_time: 0.0056 memory: 2331 2023/03/11 05:06:17 - mmengine - INFO - Epoch(val) [14][ 120/6282] eta: 0:06:20 time: 0.0759 data_time: 0.0222 memory: 2934 2023/03/11 05:06:18 - mmengine - INFO - Epoch(val) [14][ 140/6282] eta: 0:06:21 time: 0.0642 data_time: 0.0022 memory: 2934 2023/03/11 05:06:20 - mmengine - INFO - Epoch(val) [14][ 160/6282] eta: 0:06:20 time: 0.0621 data_time: 0.0022 memory: 2934 2023/03/11 05:06:21 - mmengine - INFO - Epoch(val) [14][ 180/6282] eta: 0:06:20 time: 0.0635 data_time: 0.0023 memory: 2934 2023/03/11 05:06:22 - mmengine - INFO - Epoch(val) [14][ 200/6282] eta: 0:06:18 time: 0.0625 data_time: 0.0032 memory: 2934 2023/03/11 05:06:23 - mmengine - INFO - Epoch(val) [14][ 220/6282] eta: 0:06:10 time: 0.0490 data_time: 0.0027 memory: 2396 2023/03/11 05:06:24 - mmengine - INFO - Epoch(val) [14][ 240/6282] eta: 0:06:03 time: 0.0508 data_time: 0.0030 memory: 2396 2023/03/11 05:06:26 - mmengine - INFO - Epoch(val) [14][ 260/6282] eta: 0:06:15 time: 0.0877 data_time: 0.0038 memory: 2396 2023/03/11 05:06:27 - mmengine - INFO - Epoch(val) [14][ 280/6282] eta: 0:06:08 time: 0.0496 data_time: 0.0036 memory: 2396 2023/03/11 05:06:28 - mmengine - INFO - Epoch(val) [14][ 300/6282] eta: 0:06:05 time: 0.0574 data_time: 0.0033 memory: 2934 2023/03/11 05:06:29 - mmengine - INFO - Epoch(val) [14][ 320/6282] eta: 0:06:06 time: 0.0658 data_time: 0.0028 memory: 2934 2023/03/11 05:06:31 - mmengine - INFO - Epoch(val) [14][ 340/6282] eta: 0:06:06 time: 0.0641 data_time: 0.0024 memory: 2934 2023/03/11 05:06:32 - mmengine - INFO - Epoch(val) [14][ 360/6282] eta: 0:06:05 time: 0.0640 data_time: 0.0024 memory: 2934 2023/03/11 05:06:33 - mmengine - INFO - Epoch(val) [14][ 380/6282] eta: 0:06:05 time: 0.0657 data_time: 0.0023 memory: 2934 2023/03/11 05:06:34 - mmengine - INFO - Epoch(val) [14][ 400/6282] eta: 0:06:02 time: 0.0554 data_time: 0.0022 memory: 2934 2023/03/11 05:06:36 - mmengine - INFO - Epoch(val) [14][ 420/6282] eta: 0:05:59 time: 0.0539 data_time: 0.0073 memory: 2397 2023/03/11 05:06:37 - mmengine - INFO - Epoch(val) [14][ 440/6282] eta: 0:06:02 time: 0.0787 data_time: 0.0308 memory: 2397 2023/03/11 05:06:38 - mmengine - INFO - Epoch(val) [14][ 460/6282] eta: 0:05:59 time: 0.0560 data_time: 0.0110 memory: 2397 2023/03/11 05:06:39 - mmengine - INFO - Epoch(val) [14][ 480/6282] eta: 0:05:57 time: 0.0595 data_time: 0.0145 memory: 2397 2023/03/11 05:06:41 - mmengine - INFO - Epoch(val) [14][ 500/6282] eta: 0:05:55 time: 0.0553 data_time: 0.0080 memory: 2397 2023/03/11 05:06:42 - mmengine - INFO - Epoch(val) [14][ 520/6282] eta: 0:05:53 time: 0.0603 data_time: 0.0154 memory: 2396 2023/03/11 05:06:43 - mmengine - INFO - Epoch(val) [14][ 540/6282] eta: 0:05:52 time: 0.0594 data_time: 0.0116 memory: 2396 2023/03/11 05:06:44 - mmengine - INFO - Epoch(val) [14][ 560/6282] eta: 0:05:50 time: 0.0587 data_time: 0.0116 memory: 2396 2023/03/11 05:06:45 - mmengine - INFO - Epoch(val) [14][ 580/6282] eta: 0:05:48 time: 0.0566 data_time: 0.0096 memory: 2396 2023/03/11 05:06:47 - mmengine - INFO - Epoch(val) [14][ 600/6282] eta: 0:05:48 time: 0.0689 data_time: 0.0237 memory: 2396 2023/03/11 05:06:48 - mmengine - INFO - Epoch(val) [14][ 620/6282] eta: 0:05:45 time: 0.0507 data_time: 0.0036 memory: 2396 2023/03/11 05:06:49 - mmengine - INFO - Epoch(val) [14][ 640/6282] eta: 0:05:41 time: 0.0474 data_time: 0.0031 memory: 2332 2023/03/11 05:06:50 - mmengine - INFO - Epoch(val) [14][ 660/6282] eta: 0:05:37 time: 0.0458 data_time: 0.0024 memory: 2332 2023/03/11 05:06:50 - mmengine - INFO - Epoch(val) [14][ 680/6282] eta: 0:05:34 time: 0.0458 data_time: 0.0024 memory: 2332 2023/03/11 05:06:51 - mmengine - INFO - Epoch(val) [14][ 700/6282] eta: 0:05:30 time: 0.0455 data_time: 0.0023 memory: 2332 2023/03/11 05:06:53 - mmengine - INFO - Epoch(val) [14][ 720/6282] eta: 0:05:32 time: 0.0800 data_time: 0.0238 memory: 2934 2023/03/11 05:06:56 - mmengine - INFO - Epoch(val) [14][ 740/6282] eta: 0:05:47 time: 0.1633 data_time: 0.0993 memory: 2934 2023/03/11 05:06:58 - mmengine - INFO - Epoch(val) [14][ 760/6282] eta: 0:05:49 time: 0.0873 data_time: 0.0265 memory: 2934 2023/03/11 05:07:00 - mmengine - INFO - Epoch(val) [14][ 780/6282] eta: 0:05:52 time: 0.0932 data_time: 0.0326 memory: 2934 2023/03/11 05:07:02 - mmengine - INFO - Epoch(val) [14][ 800/6282] eta: 0:05:54 time: 0.0877 data_time: 0.0254 memory: 2934 2023/03/11 05:07:03 - mmengine - INFO - Epoch(val) [14][ 820/6282] eta: 0:05:53 time: 0.0702 data_time: 0.0159 memory: 2934 2023/03/11 05:07:04 - mmengine - INFO - Epoch(val) [14][ 840/6282] eta: 0:05:51 time: 0.0569 data_time: 0.0094 memory: 2396 2023/03/11 05:07:06 - mmengine - INFO - Epoch(val) [14][ 860/6282] eta: 0:05:50 time: 0.0645 data_time: 0.0179 memory: 2396 2023/03/11 05:07:07 - mmengine - INFO - Epoch(val) [14][ 880/6282] eta: 0:05:48 time: 0.0614 data_time: 0.0135 memory: 2396 2023/03/11 05:07:08 - mmengine - INFO - Epoch(val) [14][ 900/6282] eta: 0:05:46 time: 0.0585 data_time: 0.0108 memory: 2396 2023/03/11 05:07:10 - mmengine - INFO - Epoch(val) [14][ 920/6282] eta: 0:05:49 time: 0.0976 data_time: 0.0158 memory: 2396 2023/03/11 05:07:11 - mmengine - INFO - Epoch(val) [14][ 940/6282] eta: 0:05:47 time: 0.0650 data_time: 0.0215 memory: 2331 2023/03/11 05:07:12 - mmengine - INFO - Epoch(val) [14][ 960/6282] eta: 0:05:45 time: 0.0567 data_time: 0.0125 memory: 2331 2023/03/11 05:07:14 - mmengine - INFO - Epoch(val) [14][ 980/6282] eta: 0:05:44 time: 0.0641 data_time: 0.0210 memory: 2331 2023/03/11 05:07:15 - mmengine - INFO - Epoch(val) [14][1000/6282] eta: 0:05:41 time: 0.0557 data_time: 0.0129 memory: 2331 2023/03/11 05:07:16 - mmengine - INFO - Epoch(val) [14][1020/6282] eta: 0:05:41 time: 0.0737 data_time: 0.0310 memory: 2396 2023/03/11 05:07:17 - mmengine - INFO - Epoch(val) [14][1040/6282] eta: 0:05:39 time: 0.0548 data_time: 0.0073 memory: 2396 2023/03/11 05:07:19 - mmengine - INFO - Epoch(val) [14][1060/6282] eta: 0:05:37 time: 0.0588 data_time: 0.0137 memory: 2396 2023/03/11 05:07:20 - mmengine - INFO - Epoch(val) [14][1080/6282] eta: 0:05:35 time: 0.0581 data_time: 0.0100 memory: 2396 2023/03/11 05:07:21 - mmengine - INFO - Epoch(val) [14][1100/6282] eta: 0:05:33 time: 0.0606 data_time: 0.0156 memory: 2396 2023/03/11 05:07:22 - mmengine - INFO - Epoch(val) [14][1120/6282] eta: 0:05:31 time: 0.0563 data_time: 0.0105 memory: 2396 2023/03/11 05:07:23 - mmengine - INFO - Epoch(val) [14][1140/6282] eta: 0:05:29 time: 0.0578 data_time: 0.0123 memory: 2396 2023/03/11 05:07:24 - mmengine - INFO - Epoch(val) [14][1160/6282] eta: 0:05:27 time: 0.0502 data_time: 0.0030 memory: 2396 2023/03/11 05:07:25 - mmengine - INFO - Epoch(val) [14][1180/6282] eta: 0:05:25 time: 0.0509 data_time: 0.0034 memory: 2396 2023/03/11 05:07:26 - mmengine - INFO - Epoch(val) [14][1200/6282] eta: 0:05:22 time: 0.0501 data_time: 0.0030 memory: 2396 2023/03/11 05:07:27 - mmengine - INFO - Epoch(val) [14][1220/6282] eta: 0:05:20 time: 0.0481 data_time: 0.0027 memory: 2396 2023/03/11 05:07:29 - mmengine - INFO - Epoch(val) [14][1240/6282] eta: 0:05:21 time: 0.0922 data_time: 0.0310 memory: 2934 2023/03/11 05:07:32 - mmengine - INFO - Epoch(val) [14][1260/6282] eta: 0:05:24 time: 0.1196 data_time: 0.0574 memory: 2934 2023/03/11 05:07:34 - mmengine - INFO - Epoch(val) [14][1280/6282] eta: 0:05:25 time: 0.0985 data_time: 0.0367 memory: 2934 2023/03/11 05:07:35 - mmengine - INFO - Epoch(val) [14][1300/6282] eta: 0:05:26 time: 0.0956 data_time: 0.0332 memory: 2934 2023/03/11 05:07:38 - mmengine - INFO - Epoch(val) [14][1320/6282] eta: 0:05:29 time: 0.1174 data_time: 0.0555 memory: 2934 2023/03/11 05:07:40 - mmengine - INFO - Epoch(val) [14][1340/6282] eta: 0:05:29 time: 0.0935 data_time: 0.0309 memory: 2934 2023/03/11 05:07:42 - mmengine - INFO - Epoch(val) [14][1360/6282] eta: 0:05:31 time: 0.1049 data_time: 0.0428 memory: 2934 2023/03/11 05:07:44 - mmengine - INFO - Epoch(val) [14][1380/6282] eta: 0:05:31 time: 0.0909 data_time: 0.0276 memory: 2934 2023/03/11 05:07:45 - mmengine - INFO - Epoch(val) [14][1400/6282] eta: 0:05:31 time: 0.0827 data_time: 0.0223 memory: 2934 2023/03/11 05:07:47 - mmengine - INFO - Epoch(val) [14][1420/6282] eta: 0:05:30 time: 0.0806 data_time: 0.0199 memory: 2934 2023/03/11 05:07:48 - mmengine - INFO - Epoch(val) [14][1440/6282] eta: 0:05:29 time: 0.0637 data_time: 0.0023 memory: 2934 2023/03/11 05:07:49 - mmengine - INFO - Epoch(val) [14][1460/6282] eta: 0:05:27 time: 0.0619 data_time: 0.0022 memory: 2934 2023/03/11 05:07:51 - mmengine - INFO - Epoch(val) [14][1480/6282] eta: 0:05:25 time: 0.0638 data_time: 0.0032 memory: 2934 2023/03/11 05:07:53 - mmengine - INFO - Epoch(val) [14][1500/6282] eta: 0:05:25 time: 0.0891 data_time: 0.0023 memory: 2934 2023/03/11 05:07:54 - mmengine - INFO - Epoch(val) [14][1520/6282] eta: 0:05:24 time: 0.0636 data_time: 0.0023 memory: 3958 2023/03/11 05:07:56 - mmengine - INFO - Epoch(val) [14][1540/6282] eta: 0:05:24 time: 0.0868 data_time: 0.0027 memory: 3958 2023/03/11 05:07:57 - mmengine - INFO - Epoch(val) [14][1560/6282] eta: 0:05:23 time: 0.0875 data_time: 0.0029 memory: 3958 2023/03/11 05:07:59 - mmengine - INFO - Epoch(val) [14][1580/6282] eta: 0:05:23 time: 0.0862 data_time: 0.0026 memory: 3958 2023/03/11 05:08:01 - mmengine - INFO - Epoch(val) [14][1600/6282] eta: 0:05:23 time: 0.0860 data_time: 0.0025 memory: 3958 2023/03/11 05:08:03 - mmengine - INFO - Epoch(val) [14][1620/6282] eta: 0:05:22 time: 0.0866 data_time: 0.0027 memory: 3958 2023/03/11 05:08:04 - mmengine - INFO - Epoch(val) [14][1640/6282] eta: 0:05:20 time: 0.0624 data_time: 0.0025 memory: 2934 2023/03/11 05:08:05 - mmengine - INFO - Epoch(val) [14][1660/6282] eta: 0:05:19 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/11 05:08:06 - mmengine - INFO - Epoch(val) [14][1680/6282] eta: 0:05:17 time: 0.0627 data_time: 0.0025 memory: 2934 2023/03/11 05:08:08 - mmengine - INFO - Epoch(val) [14][1700/6282] eta: 0:05:15 time: 0.0627 data_time: 0.0024 memory: 2934 2023/03/11 05:08:09 - mmengine - INFO - Epoch(val) [14][1720/6282] eta: 0:05:14 time: 0.0656 data_time: 0.0045 memory: 2934 2023/03/11 05:08:10 - mmengine - INFO - Epoch(val) [14][1740/6282] eta: 0:05:12 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 05:08:11 - mmengine - INFO - Epoch(val) [14][1760/6282] eta: 0:05:10 time: 0.0637 data_time: 0.0021 memory: 2934 2023/03/11 05:08:13 - mmengine - INFO - Epoch(val) [14][1780/6282] eta: 0:05:09 time: 0.0666 data_time: 0.0033 memory: 2934 2023/03/11 05:08:14 - mmengine - INFO - Epoch(val) [14][1800/6282] eta: 0:05:07 time: 0.0670 data_time: 0.0039 memory: 2934 2023/03/11 05:08:15 - mmengine - INFO - Epoch(val) [14][1820/6282] eta: 0:05:06 time: 0.0657 data_time: 0.0039 memory: 2934 2023/03/11 05:08:17 - mmengine - INFO - Epoch(val) [14][1840/6282] eta: 0:05:05 time: 0.0772 data_time: 0.0134 memory: 2934 2023/03/11 05:08:19 - mmengine - INFO - Epoch(val) [14][1860/6282] eta: 0:05:05 time: 0.0959 data_time: 0.0338 memory: 2934 2023/03/11 05:08:21 - mmengine - INFO - Epoch(val) [14][1880/6282] eta: 0:05:05 time: 0.0939 data_time: 0.0283 memory: 2934 2023/03/11 05:08:23 - mmengine - INFO - Epoch(val) [14][1900/6282] eta: 0:05:04 time: 0.0879 data_time: 0.0269 memory: 2934 2023/03/11 05:08:24 - mmengine - INFO - Epoch(val) [14][1920/6282] eta: 0:05:03 time: 0.0781 data_time: 0.0167 memory: 2934 2023/03/11 05:08:26 - mmengine - INFO - Epoch(val) [14][1940/6282] eta: 0:05:02 time: 0.0801 data_time: 0.0220 memory: 2934 2023/03/11 05:08:27 - mmengine - INFO - Epoch(val) [14][1960/6282] eta: 0:05:00 time: 0.0565 data_time: 0.0088 memory: 2397 2023/03/11 05:08:28 - mmengine - INFO - Epoch(val) [14][1980/6282] eta: 0:04:58 time: 0.0553 data_time: 0.0101 memory: 2397 2023/03/11 05:08:29 - mmengine - INFO - Epoch(val) [14][2000/6282] eta: 0:04:56 time: 0.0535 data_time: 0.0083 memory: 2397 2023/03/11 05:08:30 - mmengine - INFO - Epoch(val) [14][2020/6282] eta: 0:04:54 time: 0.0574 data_time: 0.0095 memory: 2397 2023/03/11 05:08:31 - mmengine - INFO - Epoch(val) [14][2040/6282] eta: 0:04:52 time: 0.0592 data_time: 0.0142 memory: 2397 2023/03/11 05:08:33 - mmengine - INFO - Epoch(val) [14][2060/6282] eta: 0:04:51 time: 0.0571 data_time: 0.0106 memory: 2397 2023/03/11 05:08:34 - mmengine - INFO - Epoch(val) [14][2080/6282] eta: 0:04:49 time: 0.0533 data_time: 0.0071 memory: 2397 2023/03/11 05:08:36 - mmengine - INFO - Epoch(val) [14][2100/6282] eta: 0:04:49 time: 0.1228 data_time: 0.0770 memory: 2397 2023/03/11 05:08:37 - mmengine - INFO - Epoch(val) [14][2120/6282] eta: 0:04:47 time: 0.0579 data_time: 0.0093 memory: 2397 2023/03/11 05:08:38 - mmengine - INFO - Epoch(val) [14][2140/6282] eta: 0:04:46 time: 0.0568 data_time: 0.0095 memory: 2397 2023/03/11 05:08:40 - mmengine - INFO - Epoch(val) [14][2160/6282] eta: 0:04:44 time: 0.0557 data_time: 0.0106 memory: 2396 2023/03/11 05:08:41 - mmengine - INFO - Epoch(val) [14][2180/6282] eta: 0:04:42 time: 0.0627 data_time: 0.0168 memory: 2396 2023/03/11 05:08:42 - mmengine - INFO - Epoch(val) [14][2200/6282] eta: 0:04:40 time: 0.0539 data_time: 0.0088 memory: 2396 2023/03/11 05:08:43 - mmengine - INFO - Epoch(val) [14][2220/6282] eta: 0:04:38 time: 0.0566 data_time: 0.0106 memory: 2396 2023/03/11 05:08:44 - mmengine - INFO - Epoch(val) [14][2240/6282] eta: 0:04:36 time: 0.0527 data_time: 0.0073 memory: 2396 2023/03/11 05:08:45 - mmengine - INFO - Epoch(val) [14][2260/6282] eta: 0:04:35 time: 0.0571 data_time: 0.0095 memory: 2397 2023/03/11 05:08:47 - mmengine - INFO - Epoch(val) [14][2280/6282] eta: 0:04:34 time: 0.0764 data_time: 0.0304 memory: 2397 2023/03/11 05:08:48 - mmengine - INFO - Epoch(val) [14][2300/6282] eta: 0:04:32 time: 0.0566 data_time: 0.0100 memory: 2397 2023/03/11 05:08:49 - mmengine - INFO - Epoch(val) [14][2320/6282] eta: 0:04:30 time: 0.0537 data_time: 0.0073 memory: 2397 2023/03/11 05:08:50 - mmengine - INFO - Epoch(val) [14][2340/6282] eta: 0:04:28 time: 0.0588 data_time: 0.0134 memory: 2397 2023/03/11 05:08:51 - mmengine - INFO - Epoch(val) [14][2360/6282] eta: 0:04:26 time: 0.0570 data_time: 0.0119 memory: 2396 2023/03/11 05:08:53 - mmengine - INFO - Epoch(val) [14][2380/6282] eta: 0:04:25 time: 0.0567 data_time: 0.0101 memory: 2396 2023/03/11 05:08:53 - mmengine - INFO - Epoch(val) [14][2400/6282] eta: 0:04:23 time: 0.0492 data_time: 0.0031 memory: 2396 2023/03/11 05:08:55 - mmengine - INFO - Epoch(val) [14][2420/6282] eta: 0:04:21 time: 0.0514 data_time: 0.0027 memory: 2396 2023/03/11 05:08:56 - mmengine - INFO - Epoch(val) [14][2440/6282] eta: 0:04:19 time: 0.0501 data_time: 0.0024 memory: 2396 2023/03/11 05:08:57 - mmengine - INFO - Epoch(val) [14][2460/6282] eta: 0:04:18 time: 0.0689 data_time: 0.0083 memory: 2934 2023/03/11 05:08:58 - mmengine - INFO - Epoch(val) [14][2480/6282] eta: 0:04:16 time: 0.0645 data_time: 0.0031 memory: 2934 2023/03/11 05:08:59 - mmengine - INFO - Epoch(val) [14][2500/6282] eta: 0:04:15 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/11 05:09:01 - mmengine - INFO - Epoch(val) [14][2520/6282] eta: 0:04:13 time: 0.0648 data_time: 0.0028 memory: 2934 2023/03/11 05:09:02 - mmengine - INFO - Epoch(val) [14][2540/6282] eta: 0:04:12 time: 0.0786 data_time: 0.0171 memory: 2934 2023/03/11 05:09:04 - mmengine - INFO - Epoch(val) [14][2560/6282] eta: 0:04:12 time: 0.0950 data_time: 0.0293 memory: 2934 2023/03/11 05:09:06 - mmengine - INFO - Epoch(val) [14][2580/6282] eta: 0:04:11 time: 0.0991 data_time: 0.0374 memory: 2934 2023/03/11 05:09:08 - mmengine - INFO - Epoch(val) [14][2600/6282] eta: 0:04:11 time: 0.0961 data_time: 0.0347 memory: 2934 2023/03/11 05:09:10 - mmengine - INFO - Epoch(val) [14][2620/6282] eta: 0:04:10 time: 0.0856 data_time: 0.0230 memory: 2934 2023/03/11 05:09:11 - mmengine - INFO - Epoch(val) [14][2640/6282] eta: 0:04:08 time: 0.0656 data_time: 0.0049 memory: 2934 2023/03/11 05:09:13 - mmengine - INFO - Epoch(val) [14][2660/6282] eta: 0:04:07 time: 0.0842 data_time: 0.0023 memory: 3842 2023/03/11 05:09:15 - mmengine - INFO - Epoch(val) [14][2680/6282] eta: 0:04:07 time: 0.0849 data_time: 0.0026 memory: 3842 2023/03/11 05:09:16 - mmengine - INFO - Epoch(val) [14][2700/6282] eta: 0:04:06 time: 0.0851 data_time: 0.0028 memory: 3842 2023/03/11 05:09:19 - mmengine - INFO - Epoch(val) [14][2720/6282] eta: 0:04:05 time: 0.1099 data_time: 0.0027 memory: 3842 2023/03/11 05:09:20 - mmengine - INFO - Epoch(val) [14][2740/6282] eta: 0:04:04 time: 0.0817 data_time: 0.0026 memory: 3842 2023/03/11 05:09:21 - mmengine - INFO - Epoch(val) [14][2760/6282] eta: 0:04:02 time: 0.0495 data_time: 0.0022 memory: 2397 2023/03/11 05:09:22 - mmengine - INFO - Epoch(val) [14][2780/6282] eta: 0:04:01 time: 0.0503 data_time: 0.0021 memory: 2397 2023/03/11 05:09:23 - mmengine - INFO - Epoch(val) [14][2800/6282] eta: 0:03:59 time: 0.0474 data_time: 0.0022 memory: 2397 2023/03/11 05:09:24 - mmengine - INFO - Epoch(val) [14][2820/6282] eta: 0:03:57 time: 0.0507 data_time: 0.0037 memory: 2397 2023/03/11 05:09:25 - mmengine - INFO - Epoch(val) [14][2840/6282] eta: 0:03:55 time: 0.0489 data_time: 0.0028 memory: 2397 2023/03/11 05:09:26 - mmengine - INFO - Epoch(val) [14][2860/6282] eta: 0:03:53 time: 0.0628 data_time: 0.0049 memory: 2934 2023/03/11 05:09:28 - mmengine - INFO - Epoch(val) [14][2880/6282] eta: 0:03:52 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/11 05:09:29 - mmengine - INFO - Epoch(val) [14][2900/6282] eta: 0:03:51 time: 0.0675 data_time: 0.0079 memory: 2934 2023/03/11 05:09:30 - mmengine - INFO - Epoch(val) [14][2920/6282] eta: 0:03:49 time: 0.0578 data_time: 0.0058 memory: 2934 2023/03/11 05:09:32 - mmengine - INFO - Epoch(val) [14][2940/6282] eta: 0:03:47 time: 0.0628 data_time: 0.0118 memory: 2609 2023/03/11 05:09:33 - mmengine - INFO - Epoch(val) [14][2960/6282] eta: 0:03:46 time: 0.0544 data_time: 0.0036 memory: 2609 2023/03/11 05:09:34 - mmengine - INFO - Epoch(val) [14][2980/6282] eta: 0:03:44 time: 0.0551 data_time: 0.0046 memory: 2609 2023/03/11 05:09:35 - mmengine - INFO - Epoch(val) [14][3000/6282] eta: 0:03:42 time: 0.0555 data_time: 0.0060 memory: 2609 2023/03/11 05:09:36 - mmengine - INFO - Epoch(val) [14][3020/6282] eta: 0:03:41 time: 0.0659 data_time: 0.0065 memory: 2934 2023/03/11 05:09:38 - mmengine - INFO - Epoch(val) [14][3040/6282] eta: 0:03:41 time: 0.1069 data_time: 0.0443 memory: 2934 2023/03/11 05:09:40 - mmengine - INFO - Epoch(val) [14][3060/6282] eta: 0:03:39 time: 0.0647 data_time: 0.0021 memory: 2934 2023/03/11 05:09:41 - mmengine - INFO - Epoch(val) [14][3080/6282] eta: 0:03:38 time: 0.0661 data_time: 0.0026 memory: 2934 2023/03/11 05:09:42 - mmengine - INFO - Epoch(val) [14][3100/6282] eta: 0:03:36 time: 0.0578 data_time: 0.0023 memory: 2934 2023/03/11 05:09:43 - mmengine - INFO - Epoch(val) [14][3120/6282] eta: 0:03:34 time: 0.0478 data_time: 0.0022 memory: 2397 2023/03/11 05:09:44 - mmengine - INFO - Epoch(val) [14][3140/6282] eta: 0:03:33 time: 0.0487 data_time: 0.0022 memory: 2397 2023/03/11 05:09:45 - mmengine - INFO - Epoch(val) [14][3160/6282] eta: 0:03:31 time: 0.0490 data_time: 0.0028 memory: 2397 2023/03/11 05:09:46 - mmengine - INFO - Epoch(val) [14][3180/6282] eta: 0:03:29 time: 0.0493 data_time: 0.0027 memory: 2397 2023/03/11 05:09:47 - mmengine - INFO - Epoch(val) [14][3200/6282] eta: 0:03:28 time: 0.0591 data_time: 0.0027 memory: 2934 2023/03/11 05:09:49 - mmengine - INFO - Epoch(val) [14][3220/6282] eta: 0:03:26 time: 0.0638 data_time: 0.0030 memory: 2934 2023/03/11 05:09:50 - mmengine - INFO - Epoch(val) [14][3240/6282] eta: 0:03:25 time: 0.0631 data_time: 0.0026 memory: 2934 2023/03/11 05:09:51 - mmengine - INFO - Epoch(val) [14][3260/6282] eta: 0:03:23 time: 0.0630 data_time: 0.0024 memory: 2934 2023/03/11 05:09:52 - mmengine - INFO - Epoch(val) [14][3280/6282] eta: 0:03:22 time: 0.0629 data_time: 0.0023 memory: 2934 2023/03/11 05:09:54 - mmengine - INFO - Epoch(val) [14][3300/6282] eta: 0:03:20 time: 0.0622 data_time: 0.0025 memory: 2934 2023/03/11 05:09:55 - mmengine - INFO - Epoch(val) [14][3320/6282] eta: 0:03:19 time: 0.0631 data_time: 0.0030 memory: 2934 2023/03/11 05:09:56 - mmengine - INFO - Epoch(val) [14][3340/6282] eta: 0:03:18 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/11 05:09:57 - mmengine - INFO - Epoch(val) [14][3360/6282] eta: 0:03:16 time: 0.0640 data_time: 0.0027 memory: 2934 2023/03/11 05:09:59 - mmengine - INFO - Epoch(val) [14][3380/6282] eta: 0:03:15 time: 0.0603 data_time: 0.0022 memory: 2934 2023/03/11 05:10:00 - mmengine - INFO - Epoch(val) [14][3400/6282] eta: 0:03:13 time: 0.0508 data_time: 0.0021 memory: 2396 2023/03/11 05:10:01 - mmengine - INFO - Epoch(val) [14][3420/6282] eta: 0:03:11 time: 0.0480 data_time: 0.0020 memory: 2396 2023/03/11 05:10:02 - mmengine - INFO - Epoch(val) [14][3440/6282] eta: 0:03:10 time: 0.0898 data_time: 0.0447 memory: 2396 2023/03/11 05:10:04 - mmengine - INFO - Epoch(val) [14][3460/6282] eta: 0:03:09 time: 0.0604 data_time: 0.0132 memory: 2396 2023/03/11 05:10:05 - mmengine - INFO - Epoch(val) [14][3480/6282] eta: 0:03:08 time: 0.0585 data_time: 0.0119 memory: 2396 2023/03/11 05:10:06 - mmengine - INFO - Epoch(val) [14][3500/6282] eta: 0:03:06 time: 0.0571 data_time: 0.0094 memory: 2396 2023/03/11 05:10:07 - mmengine - INFO - Epoch(val) [14][3520/6282] eta: 0:03:05 time: 0.0578 data_time: 0.0126 memory: 2396 2023/03/11 05:10:08 - mmengine - INFO - Epoch(val) [14][3540/6282] eta: 0:03:03 time: 0.0552 data_time: 0.0102 memory: 2396 2023/03/11 05:10:09 - mmengine - INFO - Epoch(val) [14][3560/6282] eta: 0:03:02 time: 0.0591 data_time: 0.0119 memory: 2396 2023/03/11 05:10:11 - mmengine - INFO - Epoch(val) [14][3580/6282] eta: 0:03:00 time: 0.0562 data_time: 0.0063 memory: 2765 2023/03/11 05:10:12 - mmengine - INFO - Epoch(val) [14][3600/6282] eta: 0:02:59 time: 0.0599 data_time: 0.0049 memory: 2765 2023/03/11 05:10:13 - mmengine - INFO - Epoch(val) [14][3620/6282] eta: 0:02:57 time: 0.0570 data_time: 0.0022 memory: 2765 2023/03/11 05:10:14 - mmengine - INFO - Epoch(val) [14][3640/6282] eta: 0:02:56 time: 0.0585 data_time: 0.0023 memory: 2765 2023/03/11 05:10:15 - mmengine - INFO - Epoch(val) [14][3660/6282] eta: 0:02:54 time: 0.0603 data_time: 0.0029 memory: 2765 2023/03/11 05:10:17 - mmengine - INFO - Epoch(val) [14][3680/6282] eta: 0:02:53 time: 0.0623 data_time: 0.0030 memory: 2934 2023/03/11 05:10:18 - mmengine - INFO - Epoch(val) [14][3700/6282] eta: 0:02:52 time: 0.0649 data_time: 0.0031 memory: 2934 2023/03/11 05:10:19 - mmengine - INFO - Epoch(val) [14][3720/6282] eta: 0:02:50 time: 0.0642 data_time: 0.0032 memory: 2934 2023/03/11 05:10:21 - mmengine - INFO - Epoch(val) [14][3740/6282] eta: 0:02:49 time: 0.0659 data_time: 0.0037 memory: 2934 2023/03/11 05:10:22 - mmengine - INFO - Epoch(val) [14][3760/6282] eta: 0:02:47 time: 0.0652 data_time: 0.0039 memory: 2934 2023/03/11 05:10:23 - mmengine - INFO - Epoch(val) [14][3780/6282] eta: 0:02:46 time: 0.0652 data_time: 0.0031 memory: 2934 2023/03/11 05:10:24 - mmengine - INFO - Epoch(val) [14][3800/6282] eta: 0:02:45 time: 0.0637 data_time: 0.0029 memory: 2934 2023/03/11 05:10:26 - mmengine - INFO - Epoch(val) [14][3820/6282] eta: 0:02:43 time: 0.0639 data_time: 0.0030 memory: 2934 2023/03/11 05:10:27 - mmengine - INFO - Epoch(val) [14][3840/6282] eta: 0:02:42 time: 0.0646 data_time: 0.0033 memory: 2934 2023/03/11 05:10:28 - mmengine - INFO - Epoch(val) [14][3860/6282] eta: 0:02:41 time: 0.0633 data_time: 0.0027 memory: 2934 2023/03/11 05:10:30 - mmengine - INFO - Epoch(val) [14][3880/6282] eta: 0:02:39 time: 0.0635 data_time: 0.0029 memory: 2934 2023/03/11 05:10:31 - mmengine - INFO - Epoch(val) [14][3900/6282] eta: 0:02:38 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/11 05:10:32 - mmengine - INFO - Epoch(val) [14][3920/6282] eta: 0:02:37 time: 0.0626 data_time: 0.0025 memory: 2934 2023/03/11 05:10:33 - mmengine - INFO - Epoch(val) [14][3940/6282] eta: 0:02:35 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 05:10:35 - mmengine - INFO - Epoch(val) [14][3960/6282] eta: 0:02:34 time: 0.0623 data_time: 0.0023 memory: 2934 2023/03/11 05:10:36 - mmengine - INFO - Epoch(val) [14][3980/6282] eta: 0:02:32 time: 0.0624 data_time: 0.0027 memory: 2934 2023/03/11 05:10:37 - mmengine - INFO - Epoch(val) [14][4000/6282] eta: 0:02:31 time: 0.0660 data_time: 0.0031 memory: 2934 2023/03/11 05:10:38 - mmengine - INFO - Epoch(val) [14][4020/6282] eta: 0:02:30 time: 0.0621 data_time: 0.0021 memory: 2934 2023/03/11 05:10:40 - mmengine - INFO - Epoch(val) [14][4040/6282] eta: 0:02:28 time: 0.0651 data_time: 0.0022 memory: 3842 2023/03/11 05:10:41 - mmengine - INFO - Epoch(val) [14][4060/6282] eta: 0:02:27 time: 0.0842 data_time: 0.0025 memory: 3842 2023/03/11 05:10:43 - mmengine - INFO - Epoch(val) [14][4080/6282] eta: 0:02:26 time: 0.0838 data_time: 0.0023 memory: 3842 2023/03/11 05:10:45 - mmengine - INFO - Epoch(val) [14][4100/6282] eta: 0:02:25 time: 0.0837 data_time: 0.0025 memory: 3842 2023/03/11 05:10:47 - mmengine - INFO - Epoch(val) [14][4120/6282] eta: 0:02:24 time: 0.0847 data_time: 0.0024 memory: 3842 2023/03/11 05:10:48 - mmengine - INFO - Epoch(val) [14][4140/6282] eta: 0:02:22 time: 0.0705 data_time: 0.0027 memory: 3842 2023/03/11 05:10:49 - mmengine - INFO - Epoch(val) [14][4160/6282] eta: 0:02:21 time: 0.0495 data_time: 0.0023 memory: 2396 2023/03/11 05:10:50 - mmengine - INFO - Epoch(val) [14][4180/6282] eta: 0:02:20 time: 0.0521 data_time: 0.0021 memory: 2396 2023/03/11 05:10:51 - mmengine - INFO - Epoch(val) [14][4200/6282] eta: 0:02:18 time: 0.0493 data_time: 0.0022 memory: 2396 2023/03/11 05:10:52 - mmengine - INFO - Epoch(val) [14][4220/6282] eta: 0:02:17 time: 0.0548 data_time: 0.0097 memory: 2396 2023/03/11 05:10:53 - mmengine - INFO - Epoch(val) [14][4240/6282] eta: 0:02:15 time: 0.0575 data_time: 0.0123 memory: 2396 2023/03/11 05:10:54 - mmengine - INFO - Epoch(val) [14][4260/6282] eta: 0:02:14 time: 0.0571 data_time: 0.0103 memory: 2396 2023/03/11 05:10:56 - mmengine - INFO - Epoch(val) [14][4280/6282] eta: 0:02:12 time: 0.0575 data_time: 0.0111 memory: 2396 2023/03/11 05:10:57 - mmengine - INFO - Epoch(val) [14][4300/6282] eta: 0:02:11 time: 0.0699 data_time: 0.0226 memory: 2396 2023/03/11 05:10:58 - mmengine - INFO - Epoch(val) [14][4320/6282] eta: 0:02:10 time: 0.0574 data_time: 0.0106 memory: 2396 2023/03/11 05:10:59 - mmengine - INFO - Epoch(val) [14][4340/6282] eta: 0:02:08 time: 0.0568 data_time: 0.0118 memory: 2396 2023/03/11 05:11:01 - mmengine - INFO - Epoch(val) [14][4360/6282] eta: 0:02:07 time: 0.0677 data_time: 0.0047 memory: 2934 2023/03/11 05:11:02 - mmengine - INFO - Epoch(val) [14][4380/6282] eta: 0:02:06 time: 0.0657 data_time: 0.0022 memory: 2934 2023/03/11 05:11:03 - mmengine - INFO - Epoch(val) [14][4400/6282] eta: 0:02:04 time: 0.0637 data_time: 0.0024 memory: 2934 2023/03/11 05:11:04 - mmengine - INFO - Epoch(val) [14][4420/6282] eta: 0:02:03 time: 0.0619 data_time: 0.0022 memory: 2934 2023/03/11 05:11:06 - mmengine - INFO - Epoch(val) [14][4440/6282] eta: 0:02:01 time: 0.0638 data_time: 0.0024 memory: 3023 2023/03/11 05:11:07 - mmengine - INFO - Epoch(val) [14][4460/6282] eta: 0:02:00 time: 0.0648 data_time: 0.0024 memory: 3023 2023/03/11 05:11:08 - mmengine - INFO - Epoch(val) [14][4480/6282] eta: 0:01:59 time: 0.0644 data_time: 0.0023 memory: 3023 2023/03/11 05:11:10 - mmengine - INFO - Epoch(val) [14][4500/6282] eta: 0:01:57 time: 0.0646 data_time: 0.0024 memory: 3023 2023/03/11 05:11:11 - mmengine - INFO - Epoch(val) [14][4520/6282] eta: 0:01:56 time: 0.0625 data_time: 0.0023 memory: 3023 2023/03/11 05:11:12 - mmengine - INFO - Epoch(val) [14][4540/6282] eta: 0:01:55 time: 0.0483 data_time: 0.0022 memory: 2464 2023/03/11 05:11:13 - mmengine - INFO - Epoch(val) [14][4560/6282] eta: 0:01:53 time: 0.0486 data_time: 0.0023 memory: 2464 2023/03/11 05:11:14 - mmengine - INFO - Epoch(val) [14][4580/6282] eta: 0:01:52 time: 0.0497 data_time: 0.0022 memory: 2464 2023/03/11 05:11:15 - mmengine - INFO - Epoch(val) [14][4600/6282] eta: 0:01:50 time: 0.0498 data_time: 0.0028 memory: 2464 2023/03/11 05:11:16 - mmengine - INFO - Epoch(val) [14][4620/6282] eta: 0:01:49 time: 0.0542 data_time: 0.0071 memory: 2464 2023/03/11 05:11:18 - mmengine - INFO - Epoch(val) [14][4640/6282] eta: 0:01:48 time: 0.0823 data_time: 0.0176 memory: 3023 2023/03/11 05:11:19 - mmengine - INFO - Epoch(val) [14][4660/6282] eta: 0:01:46 time: 0.0647 data_time: 0.0025 memory: 3023 2023/03/11 05:11:20 - mmengine - INFO - Epoch(val) [14][4680/6282] eta: 0:01:45 time: 0.0640 data_time: 0.0021 memory: 3023 2023/03/11 05:11:22 - mmengine - INFO - Epoch(val) [14][4700/6282] eta: 0:01:44 time: 0.0650 data_time: 0.0023 memory: 3023 2023/03/11 05:11:23 - mmengine - INFO - Epoch(val) [14][4720/6282] eta: 0:01:42 time: 0.0625 data_time: 0.0023 memory: 3023 2023/03/11 05:11:24 - mmengine - INFO - Epoch(val) [14][4740/6282] eta: 0:01:41 time: 0.0548 data_time: 0.0027 memory: 2609 2023/03/11 05:11:25 - mmengine - INFO - Epoch(val) [14][4760/6282] eta: 0:01:40 time: 0.0568 data_time: 0.0025 memory: 2609 2023/03/11 05:11:26 - mmengine - INFO - Epoch(val) [14][4780/6282] eta: 0:01:38 time: 0.0522 data_time: 0.0025 memory: 2609 2023/03/11 05:11:27 - mmengine - INFO - Epoch(val) [14][4800/6282] eta: 0:01:37 time: 0.0552 data_time: 0.0026 memory: 2609 2023/03/11 05:11:28 - mmengine - INFO - Epoch(val) [14][4820/6282] eta: 0:01:35 time: 0.0554 data_time: 0.0024 memory: 2934 2023/03/11 05:11:30 - mmengine - INFO - Epoch(val) [14][4840/6282] eta: 0:01:34 time: 0.0623 data_time: 0.0025 memory: 2934 2023/03/11 05:11:31 - mmengine - INFO - Epoch(val) [14][4860/6282] eta: 0:01:33 time: 0.0619 data_time: 0.0022 memory: 2934 2023/03/11 05:11:32 - mmengine - INFO - Epoch(val) [14][4880/6282] eta: 0:01:31 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/11 05:11:33 - mmengine - INFO - Epoch(val) [14][4900/6282] eta: 0:01:30 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/11 05:11:35 - mmengine - INFO - Epoch(val) [14][4920/6282] eta: 0:01:29 time: 0.0840 data_time: 0.0023 memory: 2934 2023/03/11 05:11:36 - mmengine - INFO - Epoch(val) [14][4940/6282] eta: 0:01:28 time: 0.0665 data_time: 0.0046 memory: 2934 2023/03/11 05:11:38 - mmengine - INFO - Epoch(val) [14][4960/6282] eta: 0:01:26 time: 0.0663 data_time: 0.0025 memory: 2934 2023/03/11 05:11:39 - mmengine - INFO - Epoch(val) [14][4980/6282] eta: 0:01:25 time: 0.0644 data_time: 0.0021 memory: 2934 2023/03/11 05:11:40 - mmengine - INFO - Epoch(val) [14][5000/6282] eta: 0:01:24 time: 0.0626 data_time: 0.0025 memory: 2934 2023/03/11 05:11:41 - mmengine - INFO - Epoch(val) [14][5020/6282] eta: 0:01:22 time: 0.0557 data_time: 0.0023 memory: 2934 2023/03/11 05:11:42 - mmengine - INFO - Epoch(val) [14][5040/6282] eta: 0:01:21 time: 0.0486 data_time: 0.0022 memory: 2397 2023/03/11 05:11:43 - mmengine - INFO - Epoch(val) [14][5060/6282] eta: 0:01:20 time: 0.0500 data_time: 0.0022 memory: 2397 2023/03/11 05:11:44 - mmengine - INFO - Epoch(val) [14][5080/6282] eta: 0:01:18 time: 0.0540 data_time: 0.0062 memory: 2397 2023/03/11 05:11:46 - mmengine - INFO - Epoch(val) [14][5100/6282] eta: 0:01:17 time: 0.0584 data_time: 0.0115 memory: 2397 2023/03/11 05:11:47 - mmengine - INFO - Epoch(val) [14][5120/6282] eta: 0:01:16 time: 0.0630 data_time: 0.0160 memory: 2397 2023/03/11 05:11:48 - mmengine - INFO - Epoch(val) [14][5140/6282] eta: 0:01:14 time: 0.0533 data_time: 0.0069 memory: 2396 2023/03/11 05:11:49 - mmengine - INFO - Epoch(val) [14][5160/6282] eta: 0:01:13 time: 0.0574 data_time: 0.0114 memory: 2396 2023/03/11 05:11:50 - mmengine - INFO - Epoch(val) [14][5180/6282] eta: 0:01:11 time: 0.0543 data_time: 0.0089 memory: 2396 2023/03/11 05:11:51 - mmengine - INFO - Epoch(val) [14][5200/6282] eta: 0:01:10 time: 0.0621 data_time: 0.0170 memory: 2396 2023/03/11 05:11:53 - mmengine - INFO - Epoch(val) [14][5220/6282] eta: 0:01:09 time: 0.0543 data_time: 0.0092 memory: 2396 2023/03/11 05:11:54 - mmengine - INFO - Epoch(val) [14][5240/6282] eta: 0:01:07 time: 0.0552 data_time: 0.0072 memory: 2396 2023/03/11 05:11:55 - mmengine - INFO - Epoch(val) [14][5260/6282] eta: 0:01:06 time: 0.0564 data_time: 0.0103 memory: 2396 2023/03/11 05:11:56 - mmengine - INFO - Epoch(val) [14][5280/6282] eta: 0:01:05 time: 0.0613 data_time: 0.0142 memory: 2396 2023/03/11 05:11:57 - mmengine - INFO - Epoch(val) [14][5300/6282] eta: 0:01:03 time: 0.0688 data_time: 0.0236 memory: 2396 2023/03/11 05:11:59 - mmengine - INFO - Epoch(val) [14][5320/6282] eta: 0:01:02 time: 0.0569 data_time: 0.0097 memory: 2396 2023/03/11 05:12:00 - mmengine - INFO - Epoch(val) [14][5340/6282] eta: 0:01:01 time: 0.0560 data_time: 0.0078 memory: 2396 2023/03/11 05:12:01 - mmengine - INFO - Epoch(val) [14][5360/6282] eta: 0:01:00 time: 0.0604 data_time: 0.0145 memory: 2396 2023/03/11 05:12:02 - mmengine - INFO - Epoch(val) [14][5380/6282] eta: 0:00:58 time: 0.0545 data_time: 0.0071 memory: 2396 2023/03/11 05:12:03 - mmengine - INFO - Epoch(val) [14][5400/6282] eta: 0:00:57 time: 0.0588 data_time: 0.0117 memory: 2396 2023/03/11 05:12:05 - mmengine - INFO - Epoch(val) [14][5420/6282] eta: 0:00:56 time: 0.0863 data_time: 0.0402 memory: 2396 2023/03/11 05:12:06 - mmengine - INFO - Epoch(val) [14][5440/6282] eta: 0:00:54 time: 0.0592 data_time: 0.0140 memory: 2396 2023/03/11 05:12:07 - mmengine - INFO - Epoch(val) [14][5460/6282] eta: 0:00:53 time: 0.0550 data_time: 0.0091 memory: 2396 2023/03/11 05:12:08 - mmengine - INFO - Epoch(val) [14][5480/6282] eta: 0:00:52 time: 0.0559 data_time: 0.0091 memory: 2396 2023/03/11 05:12:09 - mmengine - INFO - Epoch(val) [14][5500/6282] eta: 0:00:50 time: 0.0537 data_time: 0.0085 memory: 2396 2023/03/11 05:12:11 - mmengine - INFO - Epoch(val) [14][5520/6282] eta: 0:00:49 time: 0.0612 data_time: 0.0127 memory: 2608 2023/03/11 05:12:12 - mmengine - INFO - Epoch(val) [14][5540/6282] eta: 0:00:48 time: 0.0555 data_time: 0.0062 memory: 2608 2023/03/11 05:12:13 - mmengine - INFO - Epoch(val) [14][5560/6282] eta: 0:00:46 time: 0.0570 data_time: 0.0065 memory: 2608 2023/03/11 05:12:14 - mmengine - INFO - Epoch(val) [14][5580/6282] eta: 0:00:45 time: 0.0539 data_time: 0.0027 memory: 2608 2023/03/11 05:12:15 - mmengine - INFO - Epoch(val) [14][5600/6282] eta: 0:00:44 time: 0.0593 data_time: 0.0062 memory: 2608 2023/03/11 05:12:17 - mmengine - INFO - Epoch(val) [14][5620/6282] eta: 0:00:42 time: 0.0722 data_time: 0.0253 memory: 2608 2023/03/11 05:12:18 - mmengine - INFO - Epoch(val) [14][5640/6282] eta: 0:00:41 time: 0.0596 data_time: 0.0134 memory: 2396 2023/03/11 05:12:20 - mmengine - INFO - Epoch(val) [14][5660/6282] eta: 0:00:40 time: 0.1066 data_time: 0.0597 memory: 2396 2023/03/11 05:12:21 - mmengine - INFO - Epoch(val) [14][5680/6282] eta: 0:00:39 time: 0.0604 data_time: 0.0124 memory: 2396 2023/03/11 05:12:22 - mmengine - INFO - Epoch(val) [14][5700/6282] eta: 0:00:37 time: 0.0565 data_time: 0.0083 memory: 2396 2023/03/11 05:12:24 - mmengine - INFO - Epoch(val) [14][5720/6282] eta: 0:00:36 time: 0.0618 data_time: 0.0131 memory: 2686 2023/03/11 05:12:25 - mmengine - INFO - Epoch(val) [14][5740/6282] eta: 0:00:35 time: 0.0553 data_time: 0.0021 memory: 2686 2023/03/11 05:12:26 - mmengine - INFO - Epoch(val) [14][5760/6282] eta: 0:00:33 time: 0.0569 data_time: 0.0020 memory: 2686 2023/03/11 05:12:27 - mmengine - INFO - Epoch(val) [14][5780/6282] eta: 0:00:32 time: 0.0571 data_time: 0.0022 memory: 2686 2023/03/11 05:12:29 - mmengine - INFO - Epoch(val) [14][5800/6282] eta: 0:00:31 time: 0.0822 data_time: 0.0270 memory: 2686 2023/03/11 05:12:30 - mmengine - INFO - Epoch(val) [14][5820/6282] eta: 0:00:29 time: 0.0549 data_time: 0.0022 memory: 2686 2023/03/11 05:12:31 - mmengine - INFO - Epoch(val) [14][5840/6282] eta: 0:00:28 time: 0.0636 data_time: 0.0119 memory: 2608 2023/03/11 05:12:32 - mmengine - INFO - Epoch(val) [14][5860/6282] eta: 0:00:27 time: 0.0556 data_time: 0.0057 memory: 2608 2023/03/11 05:12:33 - mmengine - INFO - Epoch(val) [14][5880/6282] eta: 0:00:26 time: 0.0589 data_time: 0.0086 memory: 2608 2023/03/11 05:12:34 - mmengine - INFO - Epoch(val) [14][5900/6282] eta: 0:00:24 time: 0.0541 data_time: 0.0046 memory: 2608 2023/03/11 05:12:36 - mmengine - INFO - Epoch(val) [14][5920/6282] eta: 0:00:23 time: 0.0579 data_time: 0.0082 memory: 2608 2023/03/11 05:12:37 - mmengine - INFO - Epoch(val) [14][5940/6282] eta: 0:00:22 time: 0.0680 data_time: 0.0227 memory: 2396 2023/03/11 05:12:38 - mmengine - INFO - Epoch(val) [14][5960/6282] eta: 0:00:20 time: 0.0554 data_time: 0.0087 memory: 2396 2023/03/11 05:12:39 - mmengine - INFO - Epoch(val) [14][5980/6282] eta: 0:00:19 time: 0.0535 data_time: 0.0072 memory: 2396 2023/03/11 05:12:40 - mmengine - INFO - Epoch(val) [14][6000/6282] eta: 0:00:18 time: 0.0622 data_time: 0.0044 memory: 2934 2023/03/11 05:12:42 - mmengine - INFO - Epoch(val) [14][6020/6282] eta: 0:00:16 time: 0.0630 data_time: 0.0022 memory: 2934 2023/03/11 05:12:43 - mmengine - INFO - Epoch(val) [14][6040/6282] eta: 0:00:15 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/11 05:12:44 - mmengine - INFO - Epoch(val) [14][6060/6282] eta: 0:00:14 time: 0.0631 data_time: 0.0027 memory: 2934 2023/03/11 05:12:46 - mmengine - INFO - Epoch(val) [14][6080/6282] eta: 0:00:13 time: 0.0635 data_time: 0.0029 memory: 2934 2023/03/11 05:12:47 - mmengine - INFO - Epoch(val) [14][6100/6282] eta: 0:00:11 time: 0.0637 data_time: 0.0028 memory: 2934 2023/03/11 05:12:48 - mmengine - INFO - Epoch(val) [14][6120/6282] eta: 0:00:10 time: 0.0633 data_time: 0.0027 memory: 2934 2023/03/11 05:12:49 - mmengine - INFO - Epoch(val) [14][6140/6282] eta: 0:00:09 time: 0.0617 data_time: 0.0022 memory: 2934 2023/03/11 05:12:51 - mmengine - INFO - Epoch(val) [14][6160/6282] eta: 0:00:07 time: 0.0616 data_time: 0.0021 memory: 2934 2023/03/11 05:12:52 - mmengine - INFO - Epoch(val) [14][6180/6282] eta: 0:00:06 time: 0.0626 data_time: 0.0023 memory: 2934 2023/03/11 05:12:53 - mmengine - INFO - Epoch(val) [14][6200/6282] eta: 0:00:05 time: 0.0619 data_time: 0.0023 memory: 2934 2023/03/11 05:12:54 - mmengine - INFO - Epoch(val) [14][6220/6282] eta: 0:00:04 time: 0.0619 data_time: 0.0022 memory: 2934 2023/03/11 05:12:56 - mmengine - INFO - Epoch(val) [14][6240/6282] eta: 0:00:02 time: 0.0614 data_time: 0.0019 memory: 2934 2023/03/11 05:12:57 - mmengine - INFO - Epoch(val) [14][6260/6282] eta: 0:00:01 time: 0.0615 data_time: 0.0019 memory: 2934 2023/03/11 05:12:58 - mmengine - INFO - Epoch(val) [14][6280/6282] eta: 0:00:00 time: 0.0609 data_time: 0.0018 memory: 2934 2023/03/11 05:15:14 - mmengine - INFO - Epoch(val) [14][6282/6282] mAP/mAP@0.5IOU: 0.3358 2023/03/11 05:15:14 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_11.pth is removed 2023/03/11 05:15:16 - mmengine - INFO - The best checkpoint with 0.3358 mAP/mAP@0.5IOU at 14 epoch is saved to best_mAP/mAP@0.5IOU_epoch_14.pth. 2023/03/11 05:15:32 - mmengine - INFO - Epoch(train) [15][ 20/4451] lr: 1.0247e-06 eta: 4:55:47 time: 0.7539 data_time: 0.3323 memory: 51970 grad_norm: 0.1306 loss: 0.0299 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.8571 recall@top3: 0.9484 prec@top3: 0.7619 recall@top5: 0.9881 prec@top5: 0.4762 loss_action_cls: 0.0299 2023/03/11 05:15:45 - mmengine - INFO - Epoch(train) [15][ 40/4451] lr: 1.0234e-06 eta: 4:55:34 time: 0.6628 data_time: 0.2418 memory: 51970 grad_norm: 0.1368 loss: 0.0283 recall@thr=0.5: 0.4473 prec@thr=0.5: 0.6022 recall@top3: 0.6839 prec@top3: 0.5054 recall@top5: 0.8495 prec@top5: 0.3871 loss_action_cls: 0.0283 2023/03/11 05:15:59 - mmengine - INFO - Epoch(train) [15][ 60/4451] lr: 1.0221e-06 eta: 4:55:21 time: 0.6845 data_time: 0.2601 memory: 51970 grad_norm: 0.1325 loss: 0.0303 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.8667 recall@top3: 0.8111 prec@top3: 0.4889 recall@top5: 0.9111 prec@top5: 0.3467 loss_action_cls: 0.0303 2023/03/11 05:16:10 - mmengine - INFO - Epoch(train) [15][ 80/4451] lr: 1.0207e-06 eta: 4:55:07 time: 0.5805 data_time: 0.1574 memory: 51970 grad_norm: 0.1363 loss: 0.0282 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.7143 recall@top3: 0.9048 prec@top3: 0.6190 recall@top5: 0.9762 prec@top5: 0.3905 loss_action_cls: 0.0282 2023/03/11 05:16:24 - mmengine - INFO - Epoch(train) [15][ 100/4451] lr: 1.0194e-06 eta: 4:54:54 time: 0.6858 data_time: 0.2001 memory: 51970 grad_norm: 0.1405 loss: 0.0307 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7708 recall@top3: 0.8125 prec@top3: 0.5625 recall@top5: 0.8125 prec@top5: 0.3375 loss_action_cls: 0.0307 2023/03/11 05:16:35 - mmengine - INFO - Epoch(train) [15][ 120/4451] lr: 1.0181e-06 eta: 4:54:39 time: 0.5606 data_time: 0.0218 memory: 51970 grad_norm: 0.1384 loss: 0.0298 recall@thr=0.5: 0.8867 prec@thr=0.5: 0.8667 recall@top3: 0.9175 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0298 2023/03/11 05:16:48 - mmengine - INFO - Epoch(train) [15][ 140/4451] lr: 1.0168e-06 eta: 4:54:26 time: 0.6579 data_time: 0.0534 memory: 51970 grad_norm: 0.1478 loss: 0.0281 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.8056 recall@top3: 0.9537 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4222 loss_action_cls: 0.0281 2023/03/11 05:17:02 - mmengine - INFO - Epoch(train) [15][ 160/4451] lr: 1.0154e-06 eta: 4:54:13 time: 0.6847 data_time: 0.0127 memory: 51970 grad_norm: 0.1372 loss: 0.0326 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.8333 recall@top3: 0.7685 prec@top3: 0.7037 recall@top5: 0.9259 prec@top5: 0.5111 loss_action_cls: 0.0326 2023/03/11 05:17:15 - mmengine - INFO - Epoch(train) [15][ 180/4451] lr: 1.0141e-06 eta: 4:53:59 time: 0.6414 data_time: 0.0128 memory: 51970 grad_norm: 0.1364 loss: 0.0337 recall@thr=0.5: 0.7509 prec@thr=0.5: 0.7596 recall@top3: 0.7474 prec@top3: 0.6667 recall@top5: 0.9526 prec@top5: 0.5053 loss_action_cls: 0.0337 2023/03/11 05:17:28 - mmengine - INFO - Epoch(train) [15][ 200/4451] lr: 1.0128e-06 eta: 4:53:46 time: 0.6702 data_time: 0.0322 memory: 51970 grad_norm: 0.1355 loss: 0.0301 recall@thr=0.5: 0.6296 prec@thr=0.5: 0.7130 recall@top3: 0.8889 prec@top3: 0.6481 recall@top5: 0.9537 prec@top5: 0.4222 loss_action_cls: 0.0301 2023/03/11 05:17:41 - mmengine - INFO - Epoch(train) [15][ 220/4451] lr: 1.0115e-06 eta: 4:53:32 time: 0.6213 data_time: 0.0124 memory: 51970 grad_norm: 0.1484 loss: 0.0321 recall@thr=0.5: 0.5799 prec@thr=0.5: 0.6146 recall@top3: 0.9097 prec@top3: 0.7639 recall@top5: 0.9896 prec@top5: 0.5083 loss_action_cls: 0.0321 2023/03/11 05:17:53 - mmengine - INFO - Epoch(train) [15][ 240/4451] lr: 1.0101e-06 eta: 4:53:19 time: 0.6364 data_time: 0.0120 memory: 51970 grad_norm: 0.1308 loss: 0.0302 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6957 recall@top3: 0.8768 prec@top3: 0.5797 recall@top5: 0.9783 prec@top5: 0.4000 loss_action_cls: 0.0302 2023/03/11 05:18:06 - mmengine - INFO - Epoch(train) [15][ 260/4451] lr: 1.0088e-06 eta: 4:53:05 time: 0.6083 data_time: 0.0126 memory: 51970 grad_norm: 0.1370 loss: 0.0313 recall@thr=0.5: 0.7784 prec@thr=0.5: 0.7086 recall@top3: 0.8130 prec@top3: 0.6543 recall@top5: 0.9537 prec@top5: 0.4963 loss_action_cls: 0.0313 2023/03/11 05:18:18 - mmengine - INFO - Epoch(train) [15][ 280/4451] lr: 1.0075e-06 eta: 4:52:52 time: 0.6468 data_time: 0.0124 memory: 51970 grad_norm: 0.1368 loss: 0.0291 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7255 recall@top3: 0.7745 prec@top3: 0.5098 recall@top5: 0.9412 prec@top5: 0.3529 loss_action_cls: 0.0291 2023/03/11 05:18:31 - mmengine - INFO - Epoch(train) [15][ 300/4451] lr: 1.0062e-06 eta: 4:52:38 time: 0.6119 data_time: 0.0121 memory: 51970 grad_norm: 0.1305 loss: 0.0291 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.9348 recall@top3: 0.9420 prec@top3: 0.6232 recall@top5: 0.9565 prec@top5: 0.3826 loss_action_cls: 0.0291 2023/03/11 05:18:43 - mmengine - INFO - Epoch(train) [15][ 320/4451] lr: 1.0048e-06 eta: 4:52:24 time: 0.6112 data_time: 0.0142 memory: 51970 grad_norm: 0.1389 loss: 0.0276 recall@thr=0.5: 0.5521 prec@thr=0.5: 0.7917 recall@top3: 0.7500 prec@top3: 0.7083 recall@top5: 0.8958 prec@top5: 0.5125 loss_action_cls: 0.0276 2023/03/11 05:18:54 - mmengine - INFO - Epoch(train) [15][ 340/4451] lr: 1.0035e-06 eta: 4:52:10 time: 0.5635 data_time: 0.0126 memory: 51970 grad_norm: 0.1312 loss: 0.0295 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.7361 recall@top3: 0.8194 prec@top3: 0.6389 recall@top5: 0.9028 prec@top5: 0.4250 loss_action_cls: 0.0295 2023/03/11 05:19:08 - mmengine - INFO - Epoch(train) [15][ 360/4451] lr: 1.0022e-06 eta: 4:51:57 time: 0.6768 data_time: 0.0133 memory: 51970 grad_norm: 0.1347 loss: 0.0301 recall@thr=0.5: 0.5238 prec@thr=0.5: 0.5714 recall@top3: 0.8333 prec@top3: 0.5714 recall@top5: 0.9643 prec@top5: 0.4143 loss_action_cls: 0.0301 2023/03/11 05:19:20 - mmengine - INFO - Epoch(train) [15][ 380/4451] lr: 1.0009e-06 eta: 4:51:43 time: 0.6216 data_time: 0.0134 memory: 51970 grad_norm: 0.1389 loss: 0.0292 recall@thr=0.5: 0.6884 prec@thr=0.5: 0.7246 recall@top3: 0.8188 prec@top3: 0.5797 recall@top5: 0.9348 prec@top5: 0.4174 loss_action_cls: 0.0292 2023/03/11 05:19:32 - mmengine - INFO - Epoch(train) [15][ 400/4451] lr: 9.9956e-07 eta: 4:51:29 time: 0.6112 data_time: 0.0136 memory: 51970 grad_norm: 0.1370 loss: 0.0300 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7059 recall@top3: 0.8725 prec@top3: 0.6275 recall@top5: 0.9314 prec@top5: 0.4000 loss_action_cls: 0.0300 2023/03/11 05:19:46 - mmengine - INFO - Epoch(train) [15][ 420/4451] lr: 9.9824e-07 eta: 4:51:16 time: 0.6557 data_time: 0.0688 memory: 51970 grad_norm: 0.1286 loss: 0.0312 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.7647 recall@top3: 0.7647 prec@top3: 0.6078 recall@top5: 0.8627 prec@top5: 0.4235 loss_action_cls: 0.0312 2023/03/11 05:19:58 - mmengine - INFO - Epoch(train) [15][ 440/4451] lr: 9.9692e-07 eta: 4:51:02 time: 0.6067 data_time: 0.0414 memory: 51970 grad_norm: 0.1341 loss: 0.0275 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.9412 recall@top3: 0.9706 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0275 2023/03/11 05:20:11 - mmengine - INFO - Epoch(train) [15][ 460/4451] lr: 9.9560e-07 eta: 4:50:49 time: 0.6423 data_time: 0.0286 memory: 51970 grad_norm: 0.1456 loss: 0.0304 recall@thr=0.5: 0.6176 prec@thr=0.5: 0.5392 recall@top3: 0.8039 prec@top3: 0.4314 recall@top5: 0.9216 prec@top5: 0.3059 loss_action_cls: 0.0304 2023/03/11 05:20:24 - mmengine - INFO - Epoch(train) [15][ 480/4451] lr: 9.9428e-07 eta: 4:50:35 time: 0.6598 data_time: 0.2156 memory: 51970 grad_norm: 0.1282 loss: 0.0281 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8444 recall@top3: 0.9111 prec@top3: 0.5333 recall@top5: 1.0000 prec@top5: 0.3733 loss_action_cls: 0.0281 2023/03/11 05:20:35 - mmengine - INFO - Epoch(train) [15][ 500/4451] lr: 9.9296e-07 eta: 4:50:21 time: 0.5613 data_time: 0.1372 memory: 51970 grad_norm: 0.1339 loss: 0.0323 recall@thr=0.5: 0.8150 prec@thr=0.5: 0.7617 recall@top3: 0.8511 prec@top3: 0.7000 recall@top5: 0.9617 prec@top5: 0.4933 loss_action_cls: 0.0323 2023/03/11 05:20:50 - mmengine - INFO - Epoch(train) [15][ 520/4451] lr: 9.9165e-07 eta: 4:50:08 time: 0.7285 data_time: 0.0596 memory: 51970 grad_norm: 0.1413 loss: 0.0289 recall@thr=0.5: 0.8730 prec@thr=0.5: 0.8770 recall@top3: 0.8889 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0289 2023/03/11 05:21:02 - mmengine - INFO - Epoch(train) [15][ 540/4451] lr: 9.9033e-07 eta: 4:49:55 time: 0.6471 data_time: 0.0124 memory: 51970 grad_norm: 0.1341 loss: 0.0299 recall@thr=0.5: 0.8143 prec@thr=0.5: 0.8571 recall@top3: 0.9000 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4429 loss_action_cls: 0.0299 2023/03/11 05:21:15 - mmengine - INFO - Epoch(train) [15][ 560/4451] lr: 9.8901e-07 eta: 4:49:41 time: 0.6026 data_time: 0.0130 memory: 51970 grad_norm: 0.1350 loss: 0.0319 recall@thr=0.5: 0.6558 prec@thr=0.5: 0.7319 recall@top3: 0.8261 prec@top3: 0.7246 recall@top5: 0.9638 prec@top5: 0.5304 loss_action_cls: 0.0319 2023/03/11 05:21:27 - mmengine - INFO - Epoch(train) [15][ 580/4451] lr: 9.8769e-07 eta: 4:49:28 time: 0.6245 data_time: 0.0119 memory: 51970 grad_norm: 0.1377 loss: 0.0299 recall@thr=0.5: 0.7042 prec@thr=0.5: 0.6583 recall@top3: 0.9125 prec@top3: 0.6333 recall@top5: 0.9375 prec@top5: 0.3900 loss_action_cls: 0.0299 2023/03/11 05:21:40 - mmengine - INFO - Epoch(train) [15][ 600/4451] lr: 9.8638e-07 eta: 4:49:14 time: 0.6268 data_time: 0.0129 memory: 51970 grad_norm: 0.1305 loss: 0.0302 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.8939 recall@top3: 0.8106 prec@top3: 0.7121 recall@top5: 0.9242 prec@top5: 0.5000 loss_action_cls: 0.0302 2023/03/11 05:21:53 - mmengine - INFO - Epoch(train) [15][ 620/4451] lr: 9.8506e-07 eta: 4:49:01 time: 0.6793 data_time: 0.0120 memory: 51970 grad_norm: 0.1368 loss: 0.0322 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.5725 recall@top3: 0.8043 prec@top3: 0.4783 recall@top5: 0.9130 prec@top5: 0.3304 loss_action_cls: 0.0322 2023/03/11 05:22:05 - mmengine - INFO - Epoch(train) [15][ 640/4451] lr: 9.8374e-07 eta: 4:48:47 time: 0.6083 data_time: 0.0120 memory: 51970 grad_norm: 0.1359 loss: 0.0326 recall@thr=0.5: 0.8860 prec@thr=0.5: 0.8333 recall@top3: 0.9211 prec@top3: 0.6842 recall@top5: 0.9825 prec@top5: 0.4526 loss_action_cls: 0.0326 2023/03/11 05:22:18 - mmengine - INFO - Epoch(train) [15][ 660/4451] lr: 9.8243e-07 eta: 4:48:33 time: 0.6214 data_time: 0.0120 memory: 51970 grad_norm: 0.1284 loss: 0.0274 recall@thr=0.5: 0.7982 prec@thr=0.5: 0.7368 recall@top3: 0.8947 prec@top3: 0.7018 recall@top5: 0.9693 prec@top5: 0.4737 loss_action_cls: 0.0274 2023/03/11 05:22:30 - mmengine - INFO - Epoch(train) [15][ 680/4451] lr: 9.8112e-07 eta: 4:48:20 time: 0.6106 data_time: 0.0122 memory: 51970 grad_norm: 0.1275 loss: 0.0303 recall@thr=0.5: 0.8141 prec@thr=0.5: 0.8692 recall@top3: 0.7853 prec@top3: 0.7564 recall@top5: 0.9487 prec@top5: 0.5692 loss_action_cls: 0.0303 2023/03/11 05:22:34 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 05:22:42 - mmengine - INFO - Epoch(train) [15][ 700/4451] lr: 9.7980e-07 eta: 4:48:06 time: 0.6170 data_time: 0.0128 memory: 51970 grad_norm: 0.1393 loss: 0.0307 recall@thr=0.5: 0.4928 prec@thr=0.5: 0.5072 recall@top3: 0.8768 prec@top3: 0.6232 recall@top5: 0.9312 prec@top5: 0.4087 loss_action_cls: 0.0307 2023/03/11 05:22:55 - mmengine - INFO - Epoch(train) [15][ 720/4451] lr: 9.7849e-07 eta: 4:47:53 time: 0.6556 data_time: 0.0121 memory: 51970 grad_norm: 0.1350 loss: 0.0298 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.8611 recall@top3: 0.8400 prec@top3: 0.8111 recall@top5: 0.9778 prec@top5: 0.5933 loss_action_cls: 0.0298 2023/03/11 05:23:09 - mmengine - INFO - Epoch(train) [15][ 740/4451] lr: 9.7717e-07 eta: 4:47:39 time: 0.6897 data_time: 0.0453 memory: 51970 grad_norm: 0.1405 loss: 0.0300 recall@thr=0.5: 0.8922 prec@thr=0.5: 0.9069 recall@top3: 0.9314 prec@top3: 0.8039 recall@top5: 1.0000 prec@top5: 0.5294 loss_action_cls: 0.0300 2023/03/11 05:23:19 - mmengine - INFO - Epoch(train) [15][ 760/4451] lr: 9.7586e-07 eta: 4:47:25 time: 0.5109 data_time: 0.0124 memory: 51970 grad_norm: 0.1316 loss: 0.0314 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.9649 recall@top3: 0.8860 prec@top3: 0.7193 recall@top5: 0.9737 prec@top5: 0.4947 loss_action_cls: 0.0314 2023/03/11 05:23:34 - mmengine - INFO - Epoch(train) [15][ 780/4451] lr: 9.7455e-07 eta: 4:47:12 time: 0.7080 data_time: 0.0830 memory: 51970 grad_norm: 0.1367 loss: 0.0289 recall@thr=0.5: 0.6167 prec@thr=0.5: 0.7417 recall@top3: 0.8042 prec@top3: 0.6000 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0289 2023/03/11 05:23:48 - mmengine - INFO - Epoch(train) [15][ 800/4451] lr: 9.7324e-07 eta: 4:46:59 time: 0.7321 data_time: 0.0328 memory: 51970 grad_norm: 0.1312 loss: 0.0293 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.8043 recall@top3: 0.8116 prec@top3: 0.5072 recall@top5: 0.9203 prec@top5: 0.3478 loss_action_cls: 0.0293 2023/03/11 05:24:01 - mmengine - INFO - Epoch(train) [15][ 820/4451] lr: 9.7192e-07 eta: 4:46:46 time: 0.6367 data_time: 0.0361 memory: 51970 grad_norm: 0.1395 loss: 0.0294 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.6958 recall@top3: 0.8097 prec@top3: 0.7639 recall@top5: 0.9187 prec@top5: 0.5333 loss_action_cls: 0.0294 2023/03/11 05:24:14 - mmengine - INFO - Epoch(train) [15][ 840/4451] lr: 9.7061e-07 eta: 4:46:32 time: 0.6460 data_time: 0.0249 memory: 51970 grad_norm: 0.1357 loss: 0.0297 recall@thr=0.5: 0.7731 prec@thr=0.5: 0.8148 recall@top3: 0.8565 prec@top3: 0.6296 recall@top5: 0.9630 prec@top5: 0.4333 loss_action_cls: 0.0297 2023/03/11 05:24:28 - mmengine - INFO - Epoch(train) [15][ 860/4451] lr: 9.6930e-07 eta: 4:46:19 time: 0.6962 data_time: 0.0123 memory: 51970 grad_norm: 0.1351 loss: 0.0322 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.8208 recall@top3: 0.9083 prec@top3: 0.6333 recall@top5: 0.9833 prec@top5: 0.4300 loss_action_cls: 0.0322 2023/03/11 05:24:40 - mmengine - INFO - Epoch(train) [15][ 880/4451] lr: 9.6799e-07 eta: 4:46:05 time: 0.6042 data_time: 0.0387 memory: 51970 grad_norm: 0.1374 loss: 0.0357 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.7647 recall@top3: 0.8382 prec@top3: 0.7255 recall@top5: 0.9510 prec@top5: 0.5059 loss_action_cls: 0.0357 2023/03/11 05:24:53 - mmengine - INFO - Epoch(train) [15][ 900/4451] lr: 9.6668e-07 eta: 4:45:52 time: 0.6533 data_time: 0.0232 memory: 51970 grad_norm: 0.1299 loss: 0.0293 recall@thr=0.5: 0.6854 prec@thr=0.5: 0.7234 recall@top3: 0.7516 prec@top3: 0.6562 recall@top5: 0.9458 prec@top5: 0.5000 loss_action_cls: 0.0293 2023/03/11 05:25:05 - mmengine - INFO - Epoch(train) [15][ 920/4451] lr: 9.6537e-07 eta: 4:45:38 time: 0.5959 data_time: 0.0522 memory: 51970 grad_norm: 0.1309 loss: 0.0302 recall@thr=0.5: 0.6264 prec@thr=0.5: 0.7586 recall@top3: 0.8161 prec@top3: 0.6782 recall@top5: 0.8966 prec@top5: 0.4483 loss_action_cls: 0.0302 2023/03/11 05:25:18 - mmengine - INFO - Epoch(train) [15][ 940/4451] lr: 9.6406e-07 eta: 4:45:25 time: 0.6719 data_time: 0.0123 memory: 51970 grad_norm: 0.1439 loss: 0.0290 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6429 recall@top3: 0.9107 prec@top3: 0.5238 recall@top5: 0.9821 prec@top5: 0.3714 loss_action_cls: 0.0290 2023/03/11 05:25:30 - mmengine - INFO - Epoch(train) [15][ 960/4451] lr: 9.6276e-07 eta: 4:45:11 time: 0.5764 data_time: 0.0131 memory: 51970 grad_norm: 0.1299 loss: 0.0272 recall@thr=0.5: 0.6087 prec@thr=0.5: 0.7857 recall@top3: 0.7929 prec@top3: 0.6984 recall@top5: 0.9159 prec@top5: 0.5143 loss_action_cls: 0.0272 2023/03/11 05:25:44 - mmengine - INFO - Epoch(train) [15][ 980/4451] lr: 9.6145e-07 eta: 4:44:58 time: 0.7010 data_time: 0.0124 memory: 51970 grad_norm: 0.1369 loss: 0.0298 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.6667 recall@top3: 0.8667 prec@top3: 0.5867 recall@top5: 0.9267 prec@top5: 0.3840 loss_action_cls: 0.0298 2023/03/11 05:25:56 - mmengine - INFO - Epoch(train) [15][1000/4451] lr: 9.6014e-07 eta: 4:44:44 time: 0.6044 data_time: 0.0120 memory: 51970 grad_norm: 0.1292 loss: 0.0333 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8088 recall@top3: 1.0000 prec@top3: 0.7451 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0333 2023/03/11 05:26:08 - mmengine - INFO - Epoch(train) [15][1020/4451] lr: 9.5883e-07 eta: 4:44:30 time: 0.5834 data_time: 0.0125 memory: 51970 grad_norm: 0.1362 loss: 0.0351 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8175 recall@top3: 0.7579 prec@top3: 0.5079 recall@top5: 0.8452 prec@top5: 0.3524 loss_action_cls: 0.0351 2023/03/11 05:26:21 - mmengine - INFO - Epoch(train) [15][1040/4451] lr: 9.5753e-07 eta: 4:44:17 time: 0.6735 data_time: 0.0121 memory: 51970 grad_norm: 0.1378 loss: 0.0334 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9583 recall@top3: 0.8333 prec@top3: 0.7222 recall@top5: 0.9583 prec@top5: 0.5250 loss_action_cls: 0.0334 2023/03/11 05:26:34 - mmengine - INFO - Epoch(train) [15][1060/4451] lr: 9.5622e-07 eta: 4:44:03 time: 0.6179 data_time: 0.0128 memory: 51970 grad_norm: 0.1325 loss: 0.0278 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7598 recall@top3: 0.8235 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.4118 loss_action_cls: 0.0278 2023/03/11 05:26:47 - mmengine - INFO - Epoch(train) [15][1080/4451] lr: 9.5492e-07 eta: 4:43:50 time: 0.6859 data_time: 0.0121 memory: 51970 grad_norm: 0.1402 loss: 0.0288 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6250 recall@top3: 0.7812 prec@top3: 0.4375 recall@top5: 0.7812 prec@top5: 0.2625 loss_action_cls: 0.0288 2023/03/11 05:26:59 - mmengine - INFO - Epoch(train) [15][1100/4451] lr: 9.5361e-07 eta: 4:43:36 time: 0.5972 data_time: 0.0129 memory: 51970 grad_norm: 0.1317 loss: 0.0320 recall@thr=0.5: 0.6753 prec@thr=0.5: 0.6790 recall@top3: 0.9037 prec@top3: 0.6173 recall@top5: 0.9802 prec@top5: 0.4222 loss_action_cls: 0.0320 2023/03/11 05:27:13 - mmengine - INFO - Epoch(train) [15][1120/4451] lr: 9.5231e-07 eta: 4:43:23 time: 0.6962 data_time: 0.0127 memory: 51970 grad_norm: 0.1327 loss: 0.0335 recall@thr=0.5: 0.6750 prec@thr=0.5: 0.7167 recall@top3: 0.8583 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4000 loss_action_cls: 0.0335 2023/03/11 05:27:27 - mmengine - INFO - Epoch(train) [15][1140/4451] lr: 9.5100e-07 eta: 4:43:10 time: 0.7078 data_time: 0.0123 memory: 51970 grad_norm: 0.1376 loss: 0.0302 recall@thr=0.5: 0.5208 prec@thr=0.5: 0.5625 recall@top3: 0.6927 prec@top3: 0.5000 recall@top5: 0.9427 prec@top5: 0.4000 loss_action_cls: 0.0302 2023/03/11 05:27:40 - mmengine - INFO - Epoch(train) [15][1160/4451] lr: 9.4970e-07 eta: 4:42:57 time: 0.6231 data_time: 0.0187 memory: 51970 grad_norm: 0.1370 loss: 0.0286 recall@thr=0.5: 0.7847 prec@thr=0.5: 0.8819 recall@top3: 0.8681 prec@top3: 0.7222 recall@top5: 0.9167 prec@top5: 0.4667 loss_action_cls: 0.0286 2023/03/11 05:27:54 - mmengine - INFO - Epoch(train) [15][1180/4451] lr: 9.4840e-07 eta: 4:42:44 time: 0.7009 data_time: 0.0134 memory: 51970 grad_norm: 0.1351 loss: 0.0307 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8958 recall@top3: 0.7604 prec@top3: 0.6458 recall@top5: 0.9792 prec@top5: 0.5125 loss_action_cls: 0.0307 2023/03/11 05:28:05 - mmengine - INFO - Epoch(train) [15][1200/4451] lr: 9.4709e-07 eta: 4:42:30 time: 0.5517 data_time: 0.0122 memory: 51970 grad_norm: 0.1366 loss: 0.0304 recall@thr=0.5: 0.6535 prec@thr=0.5: 0.6404 recall@top3: 0.8465 prec@top3: 0.6491 recall@top5: 0.9298 prec@top5: 0.4526 loss_action_cls: 0.0304 2023/03/11 05:28:18 - mmengine - INFO - Epoch(train) [15][1220/4451] lr: 9.4579e-07 eta: 4:42:16 time: 0.6680 data_time: 0.0126 memory: 51970 grad_norm: 0.1285 loss: 0.0292 recall@thr=0.5: 0.6764 prec@thr=0.5: 0.8194 recall@top3: 0.8069 prec@top3: 0.5139 recall@top5: 0.9139 prec@top5: 0.3667 loss_action_cls: 0.0292 2023/03/11 05:28:29 - mmengine - INFO - Epoch(train) [15][1240/4451] lr: 9.4449e-07 eta: 4:42:02 time: 0.5473 data_time: 0.0129 memory: 51970 grad_norm: 0.1445 loss: 0.0330 recall@thr=0.5: 0.7072 prec@thr=0.5: 0.8043 recall@top3: 0.9029 prec@top3: 0.8261 recall@top5: 0.9855 prec@top5: 0.5565 loss_action_cls: 0.0330 2023/03/11 05:28:43 - mmengine - INFO - Epoch(train) [15][1260/4451] lr: 9.4319e-07 eta: 4:41:49 time: 0.6712 data_time: 0.0144 memory: 51970 grad_norm: 0.1357 loss: 0.0290 recall@thr=0.5: 0.8102 prec@thr=0.5: 0.7917 recall@top3: 0.9259 prec@top3: 0.5556 recall@top5: 0.9583 prec@top5: 0.3556 loss_action_cls: 0.0290 2023/03/11 05:28:55 - mmengine - INFO - Epoch(train) [15][1280/4451] lr: 9.4189e-07 eta: 4:41:35 time: 0.6336 data_time: 0.0138 memory: 51970 grad_norm: 0.1315 loss: 0.0309 recall@thr=0.5: 0.7183 prec@thr=0.5: 0.6944 recall@top3: 0.8135 prec@top3: 0.7302 recall@top5: 0.9206 prec@top5: 0.5238 loss_action_cls: 0.0309 2023/03/11 05:29:08 - mmengine - INFO - Epoch(train) [15][1300/4451] lr: 9.4059e-07 eta: 4:41:22 time: 0.6491 data_time: 0.0263 memory: 51970 grad_norm: 0.1405 loss: 0.0309 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6495 recall@top3: 0.8211 prec@top3: 0.4706 recall@top5: 0.9363 prec@top5: 0.3412 loss_action_cls: 0.0309 2023/03/11 05:29:21 - mmengine - INFO - Epoch(train) [15][1320/4451] lr: 9.3929e-07 eta: 4:41:08 time: 0.6291 data_time: 0.0152 memory: 51970 grad_norm: 0.1348 loss: 0.0301 recall@thr=0.5: 0.4649 prec@thr=0.5: 0.6053 recall@top3: 0.8158 prec@top3: 0.7018 recall@top5: 0.9825 prec@top5: 0.5158 loss_action_cls: 0.0301 2023/03/11 05:29:35 - mmengine - INFO - Epoch(train) [15][1340/4451] lr: 9.3799e-07 eta: 4:40:55 time: 0.7154 data_time: 0.0126 memory: 51970 grad_norm: 0.1378 loss: 0.0311 recall@thr=0.5: 0.7804 prec@thr=0.5: 0.7706 recall@top3: 0.7863 prec@top3: 0.6471 recall@top5: 0.8784 prec@top5: 0.4588 loss_action_cls: 0.0311 2023/03/11 05:29:49 - mmengine - INFO - Epoch(train) [15][1360/4451] lr: 9.3669e-07 eta: 4:40:42 time: 0.7048 data_time: 0.0244 memory: 51970 grad_norm: 0.1411 loss: 0.0274 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7857 recall@top3: 0.8690 prec@top3: 0.6905 recall@top5: 0.9643 prec@top5: 0.4571 loss_action_cls: 0.0274 2023/03/11 05:30:03 - mmengine - INFO - Epoch(train) [15][1380/4451] lr: 9.3539e-07 eta: 4:40:29 time: 0.6754 data_time: 0.0129 memory: 51970 grad_norm: 0.1335 loss: 0.0345 recall@thr=0.5: 0.5049 prec@thr=0.5: 0.6863 recall@top3: 0.7598 prec@top3: 0.4902 recall@top5: 0.9020 prec@top5: 0.3647 loss_action_cls: 0.0345 2023/03/11 05:30:16 - mmengine - INFO - Epoch(train) [15][1400/4451] lr: 9.3409e-07 eta: 4:40:16 time: 0.6502 data_time: 0.0132 memory: 51970 grad_norm: 0.1371 loss: 0.0301 recall@thr=0.5: 0.5367 prec@thr=0.5: 0.6700 recall@top3: 0.8067 prec@top3: 0.5467 recall@top5: 0.9800 prec@top5: 0.3920 loss_action_cls: 0.0301 2023/03/11 05:30:28 - mmengine - INFO - Epoch(train) [15][1420/4451] lr: 9.3279e-07 eta: 4:40:02 time: 0.6077 data_time: 0.0147 memory: 51970 grad_norm: 0.1371 loss: 0.0287 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8413 recall@top3: 0.8889 prec@top3: 0.7302 recall@top5: 0.9841 prec@top5: 0.4857 loss_action_cls: 0.0287 2023/03/11 05:30:42 - mmengine - INFO - Epoch(train) [15][1440/4451] lr: 9.3150e-07 eta: 4:39:49 time: 0.7188 data_time: 0.0126 memory: 51970 grad_norm: 0.1414 loss: 0.0289 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7018 recall@top3: 0.7675 prec@top3: 0.5439 recall@top5: 0.9079 prec@top5: 0.3684 loss_action_cls: 0.0289 2023/03/11 05:30:55 - mmengine - INFO - Epoch(train) [15][1460/4451] lr: 9.3020e-07 eta: 4:39:36 time: 0.6199 data_time: 0.0121 memory: 51970 grad_norm: 0.1366 loss: 0.0280 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8750 recall@top3: 0.8667 prec@top3: 0.6833 recall@top5: 0.9417 prec@top5: 0.4500 loss_action_cls: 0.0280 2023/03/11 05:31:08 - mmengine - INFO - Epoch(train) [15][1480/4451] lr: 9.2890e-07 eta: 4:39:22 time: 0.6793 data_time: 0.0138 memory: 51970 grad_norm: 0.1393 loss: 0.0314 recall@thr=0.5: 0.5909 prec@thr=0.5: 0.7159 recall@top3: 0.6970 prec@top3: 0.6364 recall@top5: 0.8485 prec@top5: 0.4818 loss_action_cls: 0.0314 2023/03/11 05:31:19 - mmengine - INFO - Epoch(train) [15][1500/4451] lr: 9.2761e-07 eta: 4:39:08 time: 0.5507 data_time: 0.0134 memory: 51970 grad_norm: 0.1422 loss: 0.0296 recall@thr=0.5: 0.6900 prec@thr=0.5: 0.7467 recall@top3: 0.9000 prec@top3: 0.5333 recall@top5: 0.9200 prec@top5: 0.3360 loss_action_cls: 0.0296 2023/03/11 05:31:32 - mmengine - INFO - Epoch(train) [15][1520/4451] lr: 9.2631e-07 eta: 4:38:55 time: 0.6532 data_time: 0.0128 memory: 51970 grad_norm: 0.1478 loss: 0.0298 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.7326 recall@top3: 0.8333 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5750 loss_action_cls: 0.0298 2023/03/11 05:31:45 - mmengine - INFO - Epoch(train) [15][1540/4451] lr: 9.2502e-07 eta: 4:38:41 time: 0.6337 data_time: 0.0131 memory: 51970 grad_norm: 0.1382 loss: 0.0288 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.9412 recall@top3: 0.9118 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4824 loss_action_cls: 0.0288 2023/03/11 05:31:56 - mmengine - INFO - Epoch(train) [15][1560/4451] lr: 9.2373e-07 eta: 4:38:27 time: 0.5683 data_time: 0.0127 memory: 51970 grad_norm: 0.1367 loss: 0.0233 recall@thr=0.5: 0.9167 prec@thr=0.5: 0.7708 recall@top3: 0.9375 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.3750 loss_action_cls: 0.0233 2023/03/11 05:32:09 - mmengine - INFO - Epoch(train) [15][1580/4451] lr: 9.2243e-07 eta: 4:38:14 time: 0.6515 data_time: 0.0129 memory: 51970 grad_norm: 0.1397 loss: 0.0291 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.9375 recall@top3: 0.9688 prec@top3: 0.7708 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0291 2023/03/11 05:32:22 - mmengine - INFO - Epoch(train) [15][1600/4451] lr: 9.2114e-07 eta: 4:38:00 time: 0.6285 data_time: 0.0197 memory: 51970 grad_norm: 0.1360 loss: 0.0266 recall@thr=0.5: 0.7103 prec@thr=0.5: 0.7540 recall@top3: 0.7976 prec@top3: 0.6349 recall@top5: 0.9603 prec@top5: 0.4762 loss_action_cls: 0.0266 2023/03/11 05:32:34 - mmengine - INFO - Epoch(train) [15][1620/4451] lr: 9.1985e-07 eta: 4:37:47 time: 0.6131 data_time: 0.0846 memory: 51970 grad_norm: 0.1461 loss: 0.0298 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.8125 recall@top3: 0.9062 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0298 2023/03/11 05:32:47 - mmengine - INFO - Epoch(train) [15][1640/4451] lr: 9.1855e-07 eta: 4:37:33 time: 0.6323 data_time: 0.0702 memory: 51970 grad_norm: 0.1364 loss: 0.0303 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8222 recall@top3: 0.9398 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0303 2023/03/11 05:32:59 - mmengine - INFO - Epoch(train) [15][1660/4451] lr: 9.1726e-07 eta: 4:37:20 time: 0.6247 data_time: 0.0134 memory: 51970 grad_norm: 0.1354 loss: 0.0303 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.7389 recall@top3: 0.7444 prec@top3: 0.6222 recall@top5: 0.8333 prec@top5: 0.4267 loss_action_cls: 0.0303 2023/03/11 05:33:11 - mmengine - INFO - Epoch(train) [15][1680/4451] lr: 9.1597e-07 eta: 4:37:05 time: 0.5680 data_time: 0.0137 memory: 51970 grad_norm: 0.1398 loss: 0.0303 recall@thr=0.5: 0.6933 prec@thr=0.5: 0.7500 recall@top3: 0.8067 prec@top3: 0.6167 recall@top5: 0.9467 prec@top5: 0.4700 loss_action_cls: 0.0303 2023/03/11 05:33:15 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 05:33:25 - mmengine - INFO - Epoch(train) [15][1700/4451] lr: 9.1468e-07 eta: 4:36:53 time: 0.7149 data_time: 0.0129 memory: 51970 grad_norm: 0.1343 loss: 0.0294 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.9259 recall@top3: 0.8657 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0294 2023/03/11 05:33:38 - mmengine - INFO - Epoch(train) [15][1720/4451] lr: 9.1339e-07 eta: 4:36:39 time: 0.6479 data_time: 0.0124 memory: 51970 grad_norm: 0.1340 loss: 0.0318 recall@thr=0.5: 0.6280 prec@thr=0.5: 0.6667 recall@top3: 0.8065 prec@top3: 0.6429 recall@top5: 0.9286 prec@top5: 0.4500 loss_action_cls: 0.0318 2023/03/11 05:33:53 - mmengine - INFO - Epoch(train) [15][1740/4451] lr: 9.1210e-07 eta: 4:36:26 time: 0.7382 data_time: 0.0123 memory: 51970 grad_norm: 0.1356 loss: 0.0302 recall@thr=0.5: 0.5821 prec@thr=0.5: 0.6595 recall@top3: 0.7119 prec@top3: 0.5952 recall@top5: 0.8321 prec@top5: 0.4286 loss_action_cls: 0.0302 2023/03/11 05:34:05 - mmengine - INFO - Epoch(train) [15][1760/4451] lr: 9.1081e-07 eta: 4:36:13 time: 0.6127 data_time: 0.0133 memory: 51970 grad_norm: 0.1373 loss: 0.0275 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7843 recall@top3: 0.8382 prec@top3: 0.6275 recall@top5: 0.9069 prec@top5: 0.4235 loss_action_cls: 0.0275 2023/03/11 05:34:18 - mmengine - INFO - Epoch(train) [15][1780/4451] lr: 9.0952e-07 eta: 4:35:59 time: 0.6583 data_time: 0.0125 memory: 51970 grad_norm: 0.1385 loss: 0.0321 recall@thr=0.5: 0.7792 prec@thr=0.5: 0.8125 recall@top3: 0.7514 prec@top3: 0.6944 recall@top5: 0.9583 prec@top5: 0.5500 loss_action_cls: 0.0321 2023/03/11 05:34:32 - mmengine - INFO - Epoch(train) [15][1800/4451] lr: 9.0824e-07 eta: 4:35:46 time: 0.6668 data_time: 0.0121 memory: 51970 grad_norm: 0.1343 loss: 0.0294 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.8175 recall@top3: 0.8365 prec@top3: 0.8413 recall@top5: 0.9690 prec@top5: 0.6095 loss_action_cls: 0.0294 2023/03/11 05:34:43 - mmengine - INFO - Epoch(train) [15][1820/4451] lr: 9.0695e-07 eta: 4:35:32 time: 0.5726 data_time: 0.0124 memory: 51970 grad_norm: 0.1355 loss: 0.0324 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8971 recall@top3: 0.8431 prec@top3: 0.7451 recall@top5: 0.9804 prec@top5: 0.5294 loss_action_cls: 0.0324 2023/03/11 05:34:56 - mmengine - INFO - Epoch(train) [15][1840/4451] lr: 9.0566e-07 eta: 4:35:19 time: 0.6633 data_time: 0.0128 memory: 51970 grad_norm: 0.1328 loss: 0.0297 recall@thr=0.5: 0.7640 prec@thr=0.5: 0.8933 recall@top3: 0.8447 prec@top3: 0.6933 recall@top5: 0.9720 prec@top5: 0.4880 loss_action_cls: 0.0297 2023/03/11 05:35:07 - mmengine - INFO - Epoch(train) [15][1860/4451] lr: 9.0438e-07 eta: 4:35:05 time: 0.5509 data_time: 0.0123 memory: 51970 grad_norm: 0.1405 loss: 0.0304 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8310 recall@top3: 0.8869 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.4143 loss_action_cls: 0.0304 2023/03/11 05:35:20 - mmengine - INFO - Epoch(train) [15][1880/4451] lr: 9.0309e-07 eta: 4:34:51 time: 0.6485 data_time: 0.0244 memory: 51970 grad_norm: 0.1452 loss: 0.0287 recall@thr=0.5: 0.6139 prec@thr=0.5: 0.6472 recall@top3: 0.7850 prec@top3: 0.5778 recall@top5: 0.8700 prec@top5: 0.4067 loss_action_cls: 0.0287 2023/03/11 05:35:32 - mmengine - INFO - Epoch(train) [15][1900/4451] lr: 9.0180e-07 eta: 4:34:37 time: 0.5724 data_time: 0.0943 memory: 51970 grad_norm: 0.1437 loss: 0.0307 recall@thr=0.5: 0.8700 prec@thr=0.5: 0.9167 recall@top3: 0.9133 prec@top3: 0.6667 recall@top5: 0.9900 prec@top5: 0.4600 loss_action_cls: 0.0307 2023/03/11 05:35:46 - mmengine - INFO - Epoch(train) [15][1920/4451] lr: 9.0052e-07 eta: 4:34:24 time: 0.7091 data_time: 0.2857 memory: 51970 grad_norm: 0.1394 loss: 0.0331 recall@thr=0.5: 0.5303 prec@thr=0.5: 0.6818 recall@top3: 0.8712 prec@top3: 0.5152 recall@top5: 0.9394 prec@top5: 0.3273 loss_action_cls: 0.0331 2023/03/11 05:35:58 - mmengine - INFO - Epoch(train) [15][1940/4451] lr: 8.9924e-07 eta: 4:34:11 time: 0.6023 data_time: 0.1783 memory: 51970 grad_norm: 0.1349 loss: 0.0292 recall@thr=0.5: 0.6618 prec@thr=0.5: 0.7108 recall@top3: 0.8260 prec@top3: 0.7647 recall@top5: 0.9118 prec@top5: 0.5176 loss_action_cls: 0.0292 2023/03/11 05:36:12 - mmengine - INFO - Epoch(train) [15][1960/4451] lr: 8.9795e-07 eta: 4:33:58 time: 0.7161 data_time: 0.2874 memory: 51970 grad_norm: 0.1382 loss: 0.0328 recall@thr=0.5: 0.7719 prec@thr=0.5: 0.7895 recall@top3: 0.8246 prec@top3: 0.6491 recall@top5: 0.9825 prec@top5: 0.4737 loss_action_cls: 0.0328 2023/03/11 05:36:23 - mmengine - INFO - Epoch(train) [15][1980/4451] lr: 8.9667e-07 eta: 4:33:43 time: 0.5286 data_time: 0.1030 memory: 51970 grad_norm: 0.1352 loss: 0.0292 recall@thr=0.5: 0.6375 prec@thr=0.5: 0.7042 recall@top3: 0.7958 prec@top3: 0.6500 recall@top5: 0.9104 prec@top5: 0.4450 loss_action_cls: 0.0292 2023/03/11 05:36:36 - mmengine - INFO - Epoch(train) [15][2000/4451] lr: 8.9539e-07 eta: 4:33:30 time: 0.6650 data_time: 0.2382 memory: 51970 grad_norm: 0.1303 loss: 0.0350 recall@thr=0.5: 0.6506 prec@thr=0.5: 0.6410 recall@top3: 0.7660 prec@top3: 0.7308 recall@top5: 0.9071 prec@top5: 0.5308 loss_action_cls: 0.0350 2023/03/11 05:36:48 - mmengine - INFO - Epoch(train) [15][2020/4451] lr: 8.9410e-07 eta: 4:33:16 time: 0.5786 data_time: 0.1511 memory: 51970 grad_norm: 0.1522 loss: 0.0294 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7895 recall@top3: 0.8947 prec@top3: 0.7193 recall@top5: 0.9737 prec@top5: 0.4737 loss_action_cls: 0.0294 2023/03/11 05:37:01 - mmengine - INFO - Epoch(train) [15][2040/4451] lr: 8.9282e-07 eta: 4:33:03 time: 0.6690 data_time: 0.1960 memory: 51970 grad_norm: 0.1300 loss: 0.0302 recall@thr=0.5: 0.8370 prec@thr=0.5: 0.8623 recall@top3: 0.8877 prec@top3: 0.7246 recall@top5: 0.9746 prec@top5: 0.4870 loss_action_cls: 0.0302 2023/03/11 05:37:12 - mmengine - INFO - Epoch(train) [15][2060/4451] lr: 8.9154e-07 eta: 4:32:49 time: 0.5618 data_time: 0.1036 memory: 51970 grad_norm: 0.1413 loss: 0.0299 recall@thr=0.5: 0.9021 prec@thr=0.5: 0.9583 recall@top3: 0.9083 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.4000 loss_action_cls: 0.0299 2023/03/11 05:37:25 - mmengine - INFO - Epoch(train) [15][2080/4451] lr: 8.9026e-07 eta: 4:32:35 time: 0.6502 data_time: 0.1939 memory: 51970 grad_norm: 0.1364 loss: 0.0304 recall@thr=0.5: 0.8590 prec@thr=0.5: 0.7885 recall@top3: 0.8846 prec@top3: 0.4872 recall@top5: 0.9615 prec@top5: 0.3077 loss_action_cls: 0.0304 2023/03/11 05:37:37 - mmengine - INFO - Epoch(train) [15][2100/4451] lr: 8.8898e-07 eta: 4:32:22 time: 0.5780 data_time: 0.1020 memory: 51970 grad_norm: 0.1360 loss: 0.0313 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.8333 recall@top3: 0.8102 prec@top3: 0.6296 recall@top5: 0.9074 prec@top5: 0.4333 loss_action_cls: 0.0313 2023/03/11 05:37:50 - mmengine - INFO - Epoch(train) [15][2120/4451] lr: 8.8770e-07 eta: 4:32:08 time: 0.6233 data_time: 0.0820 memory: 51970 grad_norm: 0.1396 loss: 0.0325 recall@thr=0.5: 0.8877 prec@thr=0.5: 0.8826 recall@top3: 0.9457 prec@top3: 0.8261 recall@top5: 1.0000 prec@top5: 0.5391 loss_action_cls: 0.0325 2023/03/11 05:38:01 - mmengine - INFO - Epoch(train) [15][2140/4451] lr: 8.8642e-07 eta: 4:31:54 time: 0.5923 data_time: 0.0644 memory: 51970 grad_norm: 0.1355 loss: 0.0337 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8889 recall@top3: 0.8344 prec@top3: 0.6222 recall@top5: 0.9056 prec@top5: 0.4267 loss_action_cls: 0.0337 2023/03/11 05:38:14 - mmengine - INFO - Epoch(train) [15][2160/4451] lr: 8.8514e-07 eta: 4:31:41 time: 0.6398 data_time: 0.1645 memory: 51970 grad_norm: 0.1332 loss: 0.0315 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7719 recall@top3: 0.9211 prec@top3: 0.6316 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.0315 2023/03/11 05:38:27 - mmengine - INFO - Epoch(train) [15][2180/4451] lr: 8.8386e-07 eta: 4:31:27 time: 0.6265 data_time: 0.0317 memory: 51970 grad_norm: 0.1318 loss: 0.0285 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8611 recall@top3: 0.9028 prec@top3: 0.7222 recall@top5: 0.9722 prec@top5: 0.4833 loss_action_cls: 0.0285 2023/03/11 05:38:38 - mmengine - INFO - Epoch(train) [15][2200/4451] lr: 8.8259e-07 eta: 4:31:13 time: 0.5693 data_time: 0.0254 memory: 51970 grad_norm: 0.1364 loss: 0.0304 recall@thr=0.5: 0.7892 prec@thr=0.5: 0.7157 recall@top3: 0.8284 prec@top3: 0.7255 recall@top5: 0.9559 prec@top5: 0.5059 loss_action_cls: 0.0304 2023/03/11 05:38:51 - mmengine - INFO - Epoch(train) [15][2220/4451] lr: 8.8131e-07 eta: 4:31:00 time: 0.6527 data_time: 0.0306 memory: 51970 grad_norm: 0.1379 loss: 0.0312 recall@thr=0.5: 0.8500 prec@thr=0.5: 0.8625 recall@top3: 0.9083 prec@top3: 0.7333 recall@top5: 0.9875 prec@top5: 0.4800 loss_action_cls: 0.0312 2023/03/11 05:39:03 - mmengine - INFO - Epoch(train) [15][2240/4451] lr: 8.8003e-07 eta: 4:30:46 time: 0.6031 data_time: 0.0132 memory: 51970 grad_norm: 0.1345 loss: 0.0302 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6667 recall@top3: 0.7542 prec@top3: 0.7000 recall@top5: 0.8833 prec@top5: 0.4900 loss_action_cls: 0.0302 2023/03/11 05:39:16 - mmengine - INFO - Epoch(train) [15][2260/4451] lr: 8.7876e-07 eta: 4:30:33 time: 0.6516 data_time: 0.0116 memory: 51970 grad_norm: 0.1369 loss: 0.0306 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5909 recall@top3: 0.7273 prec@top3: 0.5303 recall@top5: 0.9205 prec@top5: 0.4182 loss_action_cls: 0.0306 2023/03/11 05:39:28 - mmengine - INFO - Epoch(train) [15][2280/4451] lr: 8.7748e-07 eta: 4:30:19 time: 0.5992 data_time: 0.0148 memory: 51970 grad_norm: 0.1335 loss: 0.0277 recall@thr=0.5: 0.7233 prec@thr=0.5: 0.7587 recall@top3: 0.6633 prec@top3: 0.4533 recall@top5: 0.8233 prec@top5: 0.3680 loss_action_cls: 0.0277 2023/03/11 05:39:41 - mmengine - INFO - Epoch(train) [15][2300/4451] lr: 8.7621e-07 eta: 4:30:05 time: 0.6491 data_time: 0.0123 memory: 51970 grad_norm: 0.1320 loss: 0.0290 recall@thr=0.5: 0.5420 prec@thr=0.5: 0.6232 recall@top3: 0.8014 prec@top3: 0.6087 recall@top5: 0.8826 prec@top5: 0.4087 loss_action_cls: 0.0290 2023/03/11 05:39:53 - mmengine - INFO - Epoch(train) [15][2320/4451] lr: 8.7493e-07 eta: 4:29:52 time: 0.5871 data_time: 0.0132 memory: 51970 grad_norm: 0.1375 loss: 0.0277 recall@thr=0.5: 0.6184 prec@thr=0.5: 0.6632 recall@top3: 0.8158 prec@top3: 0.6842 recall@top5: 0.9211 prec@top5: 0.4737 loss_action_cls: 0.0277 2023/03/11 05:40:06 - mmengine - INFO - Epoch(train) [15][2340/4451] lr: 8.7366e-07 eta: 4:29:38 time: 0.6468 data_time: 0.0141 memory: 51970 grad_norm: 0.1373 loss: 0.0242 recall@thr=0.5: 0.6491 prec@thr=0.5: 0.7018 recall@top3: 0.7561 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.5789 loss_action_cls: 0.0242 2023/03/11 05:40:17 - mmengine - INFO - Epoch(train) [15][2360/4451] lr: 8.7239e-07 eta: 4:29:24 time: 0.5693 data_time: 0.0131 memory: 51970 grad_norm: 0.1346 loss: 0.0311 recall@thr=0.5: 0.7908 prec@thr=0.5: 0.8276 recall@top3: 0.8632 prec@top3: 0.6897 recall@top5: 0.9655 prec@top5: 0.4828 loss_action_cls: 0.0311 2023/03/11 05:40:30 - mmengine - INFO - Epoch(train) [15][2380/4451] lr: 8.7111e-07 eta: 4:29:11 time: 0.6261 data_time: 0.0121 memory: 51970 grad_norm: 0.1377 loss: 0.0288 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.7174 recall@top3: 0.8478 prec@top3: 0.5217 recall@top5: 0.9565 prec@top5: 0.3652 loss_action_cls: 0.0288 2023/03/11 05:40:42 - mmengine - INFO - Epoch(train) [15][2400/4451] lr: 8.6984e-07 eta: 4:28:57 time: 0.5976 data_time: 0.0127 memory: 51970 grad_norm: 0.1330 loss: 0.0342 recall@thr=0.5: 0.5931 prec@thr=0.5: 0.6397 recall@top3: 0.7794 prec@top3: 0.6176 recall@top5: 0.8358 prec@top5: 0.4118 loss_action_cls: 0.0342 2023/03/11 05:40:55 - mmengine - INFO - Epoch(train) [15][2420/4451] lr: 8.6857e-07 eta: 4:28:44 time: 0.6624 data_time: 0.0138 memory: 51970 grad_norm: 0.1303 loss: 0.0280 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7222 recall@top3: 0.8796 prec@top3: 0.6481 recall@top5: 0.9074 prec@top5: 0.4000 loss_action_cls: 0.0280 2023/03/11 05:41:07 - mmengine - INFO - Epoch(train) [15][2440/4451] lr: 8.6730e-07 eta: 4:28:30 time: 0.6126 data_time: 0.0132 memory: 51970 grad_norm: 0.1298 loss: 0.0261 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7536 recall@top3: 0.8370 prec@top3: 0.7391 recall@top5: 0.9384 prec@top5: 0.5130 loss_action_cls: 0.0261 2023/03/11 05:41:20 - mmengine - INFO - Epoch(train) [15][2460/4451] lr: 8.6603e-07 eta: 4:28:16 time: 0.6411 data_time: 0.0114 memory: 51970 grad_norm: 0.1355 loss: 0.0315 recall@thr=0.5: 0.8383 prec@thr=0.5: 0.9500 recall@top3: 0.9100 prec@top3: 0.8167 recall@top5: 0.9625 prec@top5: 0.5400 loss_action_cls: 0.0315 2023/03/11 05:41:32 - mmengine - INFO - Epoch(train) [15][2480/4451] lr: 8.6476e-07 eta: 4:28:02 time: 0.5805 data_time: 0.0140 memory: 51970 grad_norm: 0.1420 loss: 0.0351 recall@thr=0.5: 0.4091 prec@thr=0.5: 0.5909 recall@top3: 0.6667 prec@top3: 0.5152 recall@top5: 0.8636 prec@top5: 0.4182 loss_action_cls: 0.0351 2023/03/11 05:41:46 - mmengine - INFO - Epoch(train) [15][2500/4451] lr: 8.6349e-07 eta: 4:27:50 time: 0.7286 data_time: 0.0116 memory: 51970 grad_norm: 0.1406 loss: 0.0307 recall@thr=0.5: 0.7010 prec@thr=0.5: 0.9216 recall@top3: 0.9363 prec@top3: 0.7647 recall@top5: 0.9657 prec@top5: 0.4706 loss_action_cls: 0.0307 2023/03/11 05:41:58 - mmengine - INFO - Epoch(train) [15][2520/4451] lr: 8.6222e-07 eta: 4:27:36 time: 0.5740 data_time: 0.0131 memory: 51970 grad_norm: 0.1429 loss: 0.0296 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.8542 recall@top3: 0.9250 prec@top3: 0.6333 recall@top5: 0.9833 prec@top5: 0.4100 loss_action_cls: 0.0296 2023/03/11 05:42:12 - mmengine - INFO - Epoch(train) [15][2540/4451] lr: 8.6095e-07 eta: 4:27:23 time: 0.6908 data_time: 0.0114 memory: 51970 grad_norm: 0.1338 loss: 0.0295 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7598 recall@top3: 0.8431 prec@top3: 0.5490 recall@top5: 0.9412 prec@top5: 0.3765 loss_action_cls: 0.0295 2023/03/11 05:42:23 - mmengine - INFO - Epoch(train) [15][2560/4451] lr: 8.5968e-07 eta: 4:27:09 time: 0.5609 data_time: 0.0128 memory: 51970 grad_norm: 0.1342 loss: 0.0312 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8371 recall@top3: 0.8864 prec@top3: 0.7576 recall@top5: 0.9773 prec@top5: 0.5091 loss_action_cls: 0.0312 2023/03/11 05:42:36 - mmengine - INFO - Epoch(train) [15][2580/4451] lr: 8.5842e-07 eta: 4:26:55 time: 0.6392 data_time: 0.0123 memory: 51970 grad_norm: 0.1330 loss: 0.0351 recall@thr=0.5: 0.3958 prec@thr=0.5: 0.4583 recall@top3: 0.7188 prec@top3: 0.4792 recall@top5: 0.8438 prec@top5: 0.3625 loss_action_cls: 0.0351 2023/03/11 05:42:48 - mmengine - INFO - Epoch(train) [15][2600/4451] lr: 8.5715e-07 eta: 4:26:41 time: 0.6080 data_time: 0.0122 memory: 51970 grad_norm: 0.1325 loss: 0.0290 recall@thr=0.5: 0.6506 prec@thr=0.5: 0.7436 recall@top3: 0.8205 prec@top3: 0.7179 recall@top5: 0.9295 prec@top5: 0.5077 loss_action_cls: 0.0290 2023/03/11 05:43:00 - mmengine - INFO - Epoch(train) [15][2620/4451] lr: 8.5588e-07 eta: 4:26:28 time: 0.6049 data_time: 0.0133 memory: 51970 grad_norm: 0.1386 loss: 0.0303 recall@thr=0.5: 0.7698 prec@thr=0.5: 0.7619 recall@top3: 0.7341 prec@top3: 0.5714 recall@top5: 0.9365 prec@top5: 0.4286 loss_action_cls: 0.0303 2023/03/11 05:43:13 - mmengine - INFO - Epoch(train) [15][2640/4451] lr: 8.5462e-07 eta: 4:26:15 time: 0.6759 data_time: 0.0141 memory: 51970 grad_norm: 0.1369 loss: 0.0331 recall@thr=0.5: 0.4950 prec@thr=0.5: 0.6500 recall@top3: 0.6575 prec@top3: 0.6667 recall@top5: 0.7425 prec@top5: 0.4400 loss_action_cls: 0.0331 2023/03/11 05:43:26 - mmengine - INFO - Epoch(train) [15][2660/4451] lr: 8.5335e-07 eta: 4:26:01 time: 0.6227 data_time: 0.0118 memory: 51970 grad_norm: 0.1304 loss: 0.0274 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9348 recall@top3: 0.9565 prec@top3: 0.7246 recall@top5: 1.0000 prec@top5: 0.4609 loss_action_cls: 0.0274 2023/03/11 05:43:40 - mmengine - INFO - Epoch(train) [15][2680/4451] lr: 8.5209e-07 eta: 4:25:48 time: 0.6924 data_time: 0.0458 memory: 51970 grad_norm: 0.1324 loss: 0.0299 recall@thr=0.5: 0.8186 prec@thr=0.5: 0.8627 recall@top3: 0.9020 prec@top3: 0.7647 recall@top5: 0.9804 prec@top5: 0.5176 loss_action_cls: 0.0299 2023/03/11 05:43:42 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 05:43:51 - mmengine - INFO - Epoch(train) [15][2700/4451] lr: 8.5082e-07 eta: 4:25:34 time: 0.5754 data_time: 0.0115 memory: 51970 grad_norm: 0.1334 loss: 0.0299 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9333 recall@top3: 0.8778 prec@top3: 0.7333 recall@top5: 0.9333 prec@top5: 0.4800 loss_action_cls: 0.0299 2023/03/11 05:44:03 - mmengine - INFO - Epoch(train) [15][2720/4451] lr: 8.4956e-07 eta: 4:25:20 time: 0.5969 data_time: 0.0499 memory: 51970 grad_norm: 0.1303 loss: 0.0278 recall@thr=0.5: 0.8196 prec@thr=0.5: 0.8869 recall@top3: 0.9143 prec@top3: 0.7500 recall@top5: 0.9625 prec@top5: 0.4929 loss_action_cls: 0.0278 2023/03/11 05:44:16 - mmengine - INFO - Epoch(train) [15][2740/4451] lr: 8.4830e-07 eta: 4:25:07 time: 0.6361 data_time: 0.0898 memory: 51970 grad_norm: 0.1282 loss: 0.0311 recall@thr=0.5: 0.8622 prec@thr=0.5: 0.8974 recall@top3: 0.8436 prec@top3: 0.7308 recall@top5: 0.9551 prec@top5: 0.5231 loss_action_cls: 0.0311 2023/03/11 05:44:28 - mmengine - INFO - Epoch(train) [15][2760/4451] lr: 8.4704e-07 eta: 4:24:53 time: 0.6195 data_time: 0.0454 memory: 51970 grad_norm: 0.1377 loss: 0.0300 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8079 recall@top3: 0.9211 prec@top3: 0.7368 recall@top5: 0.9561 prec@top5: 0.4632 loss_action_cls: 0.0300 2023/03/11 05:44:41 - mmengine - INFO - Epoch(train) [15][2780/4451] lr: 8.4577e-07 eta: 4:24:40 time: 0.6391 data_time: 0.0389 memory: 51970 grad_norm: 0.1376 loss: 0.0304 recall@thr=0.5: 0.6273 prec@thr=0.5: 0.6833 recall@top3: 0.6540 prec@top3: 0.5733 recall@top5: 0.8087 prec@top5: 0.4560 loss_action_cls: 0.0304 2023/03/11 05:44:55 - mmengine - INFO - Epoch(train) [15][2800/4451] lr: 8.4451e-07 eta: 4:24:26 time: 0.6715 data_time: 0.2008 memory: 51970 grad_norm: 0.1375 loss: 0.0289 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6970 recall@top3: 0.7803 prec@top3: 0.6212 recall@top5: 1.0000 prec@top5: 0.4636 loss_action_cls: 0.0289 2023/03/11 05:45:08 - mmengine - INFO - Epoch(train) [15][2820/4451] lr: 8.4325e-07 eta: 4:24:13 time: 0.6518 data_time: 0.0959 memory: 51970 grad_norm: 0.1379 loss: 0.0311 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.8519 recall@top3: 0.8333 prec@top3: 0.5926 recall@top5: 0.8889 prec@top5: 0.3889 loss_action_cls: 0.0311 2023/03/11 05:45:20 - mmengine - INFO - Epoch(train) [15][2840/4451] lr: 8.4199e-07 eta: 4:23:59 time: 0.6014 data_time: 0.0130 memory: 51970 grad_norm: 0.1437 loss: 0.0295 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.7778 recall@top3: 0.8778 prec@top3: 0.6000 recall@top5: 0.9000 prec@top5: 0.3733 loss_action_cls: 0.0295 2023/03/11 05:45:32 - mmengine - INFO - Epoch(train) [15][2860/4451] lr: 8.4073e-07 eta: 4:23:46 time: 0.6239 data_time: 0.1159 memory: 51970 grad_norm: 0.1332 loss: 0.0266 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6852 recall@top3: 0.7222 prec@top3: 0.5185 recall@top5: 0.8750 prec@top5: 0.3778 loss_action_cls: 0.0266 2023/03/11 05:45:46 - mmengine - INFO - Epoch(train) [15][2880/4451] lr: 8.3948e-07 eta: 4:23:33 time: 0.6907 data_time: 0.0266 memory: 51970 grad_norm: 0.1337 loss: 0.0282 recall@thr=0.5: 0.9688 prec@thr=0.5: 0.8958 recall@top3: 0.9688 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0282 2023/03/11 05:45:59 - mmengine - INFO - Epoch(train) [15][2900/4451] lr: 8.3822e-07 eta: 4:23:19 time: 0.6426 data_time: 0.0142 memory: 51970 grad_norm: 0.1420 loss: 0.0277 recall@thr=0.5: 0.6143 prec@thr=0.5: 0.7167 recall@top3: 0.6921 prec@top3: 0.6667 recall@top5: 0.9444 prec@top5: 0.5238 loss_action_cls: 0.0277 2023/03/11 05:46:12 - mmengine - INFO - Epoch(train) [15][2920/4451] lr: 8.3696e-07 eta: 4:23:06 time: 0.6439 data_time: 0.0130 memory: 51970 grad_norm: 0.1406 loss: 0.0307 recall@thr=0.5: 0.6908 prec@thr=0.5: 0.8583 recall@top3: 0.7742 prec@top3: 0.7500 recall@top5: 0.9275 prec@top5: 0.5500 loss_action_cls: 0.0307 2023/03/11 05:46:23 - mmengine - INFO - Epoch(train) [15][2940/4451] lr: 8.3570e-07 eta: 4:22:52 time: 0.5918 data_time: 0.0133 memory: 51970 grad_norm: 0.1342 loss: 0.0295 recall@thr=0.5: 0.7448 prec@thr=0.5: 0.8698 recall@top3: 0.9010 prec@top3: 0.7083 recall@top5: 0.9844 prec@top5: 0.4750 loss_action_cls: 0.0295 2023/03/11 05:46:36 - mmengine - INFO - Epoch(train) [15][2960/4451] lr: 8.3445e-07 eta: 4:22:38 time: 0.6163 data_time: 0.0125 memory: 51970 grad_norm: 0.1422 loss: 0.0297 recall@thr=0.5: 0.6633 prec@thr=0.5: 0.8400 recall@top3: 0.7933 prec@top3: 0.7867 recall@top5: 0.9267 prec@top5: 0.5440 loss_action_cls: 0.0297 2023/03/11 05:46:49 - mmengine - INFO - Epoch(train) [15][2980/4451] lr: 8.3319e-07 eta: 4:22:25 time: 0.6431 data_time: 0.0180 memory: 51970 grad_norm: 0.1404 loss: 0.0278 recall@thr=0.5: 0.8598 prec@thr=0.5: 0.9394 recall@top3: 0.9053 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0278 2023/03/11 05:47:03 - mmengine - INFO - Epoch(train) [15][3000/4451] lr: 8.3193e-07 eta: 4:22:12 time: 0.7066 data_time: 0.0117 memory: 51970 grad_norm: 0.1276 loss: 0.0297 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8417 recall@top3: 0.9333 prec@top3: 0.7333 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0297 2023/03/11 05:47:15 - mmengine - INFO - Epoch(train) [15][3020/4451] lr: 8.3068e-07 eta: 4:21:59 time: 0.6199 data_time: 0.0467 memory: 51970 grad_norm: 0.1361 loss: 0.0297 recall@thr=0.5: 0.5965 prec@thr=0.5: 0.8158 recall@top3: 0.7719 prec@top3: 0.6140 recall@top5: 0.9211 prec@top5: 0.4211 loss_action_cls: 0.0297 2023/03/11 05:47:28 - mmengine - INFO - Epoch(train) [15][3040/4451] lr: 8.2943e-07 eta: 4:21:45 time: 0.6480 data_time: 0.0120 memory: 51970 grad_norm: 0.1392 loss: 0.0322 recall@thr=0.5: 0.5968 prec@thr=0.5: 0.7419 recall@top3: 0.8441 prec@top3: 0.7204 recall@top5: 0.9301 prec@top5: 0.4903 loss_action_cls: 0.0322 2023/03/11 05:47:41 - mmengine - INFO - Epoch(train) [15][3060/4451] lr: 8.2817e-07 eta: 4:21:32 time: 0.6397 data_time: 0.0325 memory: 51970 grad_norm: 0.1361 loss: 0.0325 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.8013 recall@top3: 0.8654 prec@top3: 0.6026 recall@top5: 0.9231 prec@top5: 0.3923 loss_action_cls: 0.0325 2023/03/11 05:47:54 - mmengine - INFO - Epoch(train) [15][3080/4451] lr: 8.2692e-07 eta: 4:21:18 time: 0.6697 data_time: 0.0124 memory: 51970 grad_norm: 0.1378 loss: 0.0320 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8571 recall@top3: 0.9762 prec@top3: 0.6825 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0320 2023/03/11 05:48:07 - mmengine - INFO - Epoch(train) [15][3100/4451] lr: 8.2567e-07 eta: 4:21:05 time: 0.6127 data_time: 0.0134 memory: 51970 grad_norm: 0.1346 loss: 0.0302 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.8571 recall@top3: 0.8889 prec@top3: 0.5873 recall@top5: 0.9524 prec@top5: 0.3905 loss_action_cls: 0.0302 2023/03/11 05:48:19 - mmengine - INFO - Epoch(train) [15][3120/4451] lr: 8.2442e-07 eta: 4:20:51 time: 0.6243 data_time: 0.0126 memory: 51970 grad_norm: 0.1325 loss: 0.0270 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.7778 recall@top3: 0.8148 prec@top3: 0.5185 recall@top5: 0.8611 prec@top5: 0.3444 loss_action_cls: 0.0270 2023/03/11 05:48:33 - mmengine - INFO - Epoch(train) [15][3140/4451] lr: 8.2316e-07 eta: 4:20:38 time: 0.6968 data_time: 0.0127 memory: 51970 grad_norm: 0.1335 loss: 0.0315 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.7639 recall@top3: 0.9630 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0315 2023/03/11 05:48:45 - mmengine - INFO - Epoch(train) [15][3160/4451] lr: 8.2191e-07 eta: 4:20:24 time: 0.5740 data_time: 0.0136 memory: 51970 grad_norm: 0.1313 loss: 0.0306 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6190 recall@top3: 0.7976 prec@top3: 0.5238 recall@top5: 0.9048 prec@top5: 0.3429 loss_action_cls: 0.0306 2023/03/11 05:48:59 - mmengine - INFO - Epoch(train) [15][3180/4451] lr: 8.2066e-07 eta: 4:20:11 time: 0.7070 data_time: 0.0130 memory: 51970 grad_norm: 0.1299 loss: 0.0275 recall@thr=0.5: 0.8375 prec@thr=0.5: 0.9000 recall@top3: 0.8875 prec@top3: 0.7667 recall@top5: 0.9875 prec@top5: 0.5300 loss_action_cls: 0.0275 2023/03/11 05:49:08 - mmengine - INFO - Epoch(train) [15][3200/4451] lr: 8.1941e-07 eta: 4:19:57 time: 0.4874 data_time: 0.0126 memory: 51970 grad_norm: 0.1349 loss: 0.0343 recall@thr=0.5: 0.8733 prec@thr=0.5: 0.9533 recall@top3: 0.9267 prec@top3: 0.8000 recall@top5: 1.0000 prec@top5: 0.5360 loss_action_cls: 0.0343 2023/03/11 05:49:22 - mmengine - INFO - Epoch(train) [15][3220/4451] lr: 8.1816e-07 eta: 4:19:44 time: 0.6774 data_time: 0.0131 memory: 51970 grad_norm: 0.1355 loss: 0.0322 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7969 recall@top3: 0.7865 prec@top3: 0.5833 recall@top5: 0.8438 prec@top5: 0.3875 loss_action_cls: 0.0322 2023/03/11 05:49:34 - mmengine - INFO - Epoch(train) [15][3240/4451] lr: 8.1692e-07 eta: 4:19:30 time: 0.6009 data_time: 0.0119 memory: 51970 grad_norm: 0.1356 loss: 0.0310 recall@thr=0.5: 0.8333 prec@thr=0.5: 1.0000 recall@top3: 0.9630 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0310 2023/03/11 05:49:46 - mmengine - INFO - Epoch(train) [15][3260/4451] lr: 8.1567e-07 eta: 4:19:16 time: 0.6165 data_time: 0.0133 memory: 51970 grad_norm: 0.1352 loss: 0.0308 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.7576 recall@top3: 0.7970 prec@top3: 0.6818 recall@top5: 0.9288 prec@top5: 0.4909 loss_action_cls: 0.0308 2023/03/11 05:50:00 - mmengine - INFO - Epoch(train) [15][3280/4451] lr: 8.1442e-07 eta: 4:19:03 time: 0.6635 data_time: 0.0121 memory: 51970 grad_norm: 0.1340 loss: 0.0327 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7917 recall@top3: 0.8910 prec@top3: 0.7051 recall@top5: 0.9519 prec@top5: 0.4538 loss_action_cls: 0.0327 2023/03/11 05:50:14 - mmengine - INFO - Epoch(train) [15][3300/4451] lr: 8.1318e-07 eta: 4:18:50 time: 0.7017 data_time: 0.0131 memory: 51970 grad_norm: 0.1418 loss: 0.0303 recall@thr=0.5: 0.8939 prec@thr=0.5: 0.8712 recall@top3: 0.9697 prec@top3: 0.7879 recall@top5: 1.0000 prec@top5: 0.4909 loss_action_cls: 0.0303 2023/03/11 05:50:26 - mmengine - INFO - Epoch(train) [15][3320/4451] lr: 8.1193e-07 eta: 4:18:36 time: 0.6239 data_time: 0.0121 memory: 51970 grad_norm: 0.1368 loss: 0.0270 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.8235 recall@top3: 0.8529 prec@top3: 0.5490 recall@top5: 0.8824 prec@top5: 0.3529 loss_action_cls: 0.0270 2023/03/11 05:50:39 - mmengine - INFO - Epoch(train) [15][3340/4451] lr: 8.1068e-07 eta: 4:18:23 time: 0.6502 data_time: 0.0133 memory: 51970 grad_norm: 0.1368 loss: 0.0284 recall@thr=0.5: 0.6818 prec@thr=0.5: 0.7727 recall@top3: 0.7538 prec@top3: 0.6970 recall@top5: 0.9583 prec@top5: 0.5455 loss_action_cls: 0.0284 2023/03/11 05:50:50 - mmengine - INFO - Epoch(train) [15][3360/4451] lr: 8.0944e-07 eta: 4:18:09 time: 0.5443 data_time: 0.0131 memory: 51970 grad_norm: 0.1371 loss: 0.0303 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8312 recall@top3: 0.8090 prec@top3: 0.7500 recall@top5: 0.9653 prec@top5: 0.5500 loss_action_cls: 0.0303 2023/03/11 05:51:03 - mmengine - INFO - Epoch(train) [15][3380/4451] lr: 8.0820e-07 eta: 4:17:56 time: 0.6388 data_time: 0.0129 memory: 51970 grad_norm: 0.1363 loss: 0.0265 recall@thr=0.5: 0.5789 prec@thr=0.5: 0.7368 recall@top3: 0.7982 prec@top3: 0.5263 recall@top5: 0.8158 prec@top5: 0.3263 loss_action_cls: 0.0265 2023/03/11 05:51:16 - mmengine - INFO - Epoch(train) [15][3400/4451] lr: 8.0695e-07 eta: 4:17:42 time: 0.6342 data_time: 0.0126 memory: 51970 grad_norm: 0.1386 loss: 0.0269 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8431 recall@top3: 0.7941 prec@top3: 0.6667 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0269 2023/03/11 05:51:29 - mmengine - INFO - Epoch(train) [15][3420/4451] lr: 8.0571e-07 eta: 4:17:29 time: 0.6541 data_time: 0.0137 memory: 51970 grad_norm: 0.1332 loss: 0.0280 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.7451 recall@top3: 0.8431 prec@top3: 0.6471 recall@top5: 0.9412 prec@top5: 0.4471 loss_action_cls: 0.0280 2023/03/11 05:51:41 - mmengine - INFO - Epoch(train) [15][3440/4451] lr: 8.0447e-07 eta: 4:17:15 time: 0.6064 data_time: 0.0123 memory: 51970 grad_norm: 0.1418 loss: 0.0298 recall@thr=0.5: 0.8722 prec@thr=0.5: 1.0000 recall@top3: 0.9333 prec@top3: 0.7556 recall@top5: 0.9667 prec@top5: 0.4667 loss_action_cls: 0.0298 2023/03/11 05:51:54 - mmengine - INFO - Epoch(train) [15][3460/4451] lr: 8.0322e-07 eta: 4:17:02 time: 0.6605 data_time: 0.0127 memory: 51970 grad_norm: 0.1363 loss: 0.0315 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.7879 recall@top3: 0.8409 prec@top3: 0.6515 recall@top5: 0.9659 prec@top5: 0.4727 loss_action_cls: 0.0315 2023/03/11 05:52:06 - mmengine - INFO - Epoch(train) [15][3480/4451] lr: 8.0198e-07 eta: 4:16:48 time: 0.6142 data_time: 0.0125 memory: 51970 grad_norm: 0.1351 loss: 0.0290 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.8939 recall@top3: 0.8598 prec@top3: 0.6970 recall@top5: 0.9129 prec@top5: 0.4545 loss_action_cls: 0.0290 2023/03/11 05:52:19 - mmengine - INFO - Epoch(train) [15][3500/4451] lr: 8.0074e-07 eta: 4:16:35 time: 0.6230 data_time: 0.0133 memory: 51970 grad_norm: 0.1410 loss: 0.0309 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.6491 recall@top3: 0.9035 prec@top3: 0.5789 recall@top5: 0.9211 prec@top5: 0.3579 loss_action_cls: 0.0309 2023/03/11 05:52:32 - mmengine - INFO - Epoch(train) [15][3520/4451] lr: 7.9950e-07 eta: 4:16:21 time: 0.6528 data_time: 0.0126 memory: 51970 grad_norm: 0.1408 loss: 0.0330 recall@thr=0.5: 0.6583 prec@thr=0.5: 0.5917 recall@top3: 0.7667 prec@top3: 0.4333 recall@top5: 0.9000 prec@top5: 0.3200 loss_action_cls: 0.0330 2023/03/11 05:52:45 - mmengine - INFO - Epoch(train) [15][3540/4451] lr: 7.9826e-07 eta: 4:16:08 time: 0.6441 data_time: 0.0139 memory: 51970 grad_norm: 0.1402 loss: 0.0293 recall@thr=0.5: 0.8264 prec@thr=0.5: 0.8507 recall@top3: 0.8431 prec@top3: 0.7917 recall@top5: 0.9625 prec@top5: 0.5667 loss_action_cls: 0.0293 2023/03/11 05:52:56 - mmengine - INFO - Epoch(train) [15][3560/4451] lr: 7.9703e-07 eta: 4:15:54 time: 0.5816 data_time: 0.0121 memory: 51970 grad_norm: 0.1341 loss: 0.0295 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.9259 recall@top3: 0.8287 prec@top3: 0.7037 recall@top5: 0.8704 prec@top5: 0.4556 loss_action_cls: 0.0295 2023/03/11 05:53:09 - mmengine - INFO - Epoch(train) [15][3580/4451] lr: 7.9579e-07 eta: 4:15:40 time: 0.6213 data_time: 0.0130 memory: 51970 grad_norm: 0.1348 loss: 0.0326 recall@thr=0.5: 0.6190 prec@thr=0.5: 0.8036 recall@top3: 0.7917 prec@top3: 0.5714 recall@top5: 0.8155 prec@top5: 0.3571 loss_action_cls: 0.0326 2023/03/11 05:53:20 - mmengine - INFO - Epoch(train) [15][3600/4451] lr: 7.9455e-07 eta: 4:15:26 time: 0.5637 data_time: 0.0127 memory: 51970 grad_norm: 0.1319 loss: 0.0291 recall@thr=0.5: 0.6302 prec@thr=0.5: 0.7093 recall@top3: 0.8080 prec@top3: 0.7778 recall@top5: 0.9432 prec@top5: 0.5407 loss_action_cls: 0.0291 2023/03/11 05:53:34 - mmengine - INFO - Epoch(train) [15][3620/4451] lr: 7.9331e-07 eta: 4:15:14 time: 0.7123 data_time: 0.0613 memory: 51970 grad_norm: 0.1299 loss: 0.0273 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9618 recall@top3: 0.9097 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0273 2023/03/11 05:53:46 - mmengine - INFO - Epoch(train) [15][3640/4451] lr: 7.9208e-07 eta: 4:15:00 time: 0.6070 data_time: 0.0121 memory: 51970 grad_norm: 0.1344 loss: 0.0314 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8529 recall@top3: 0.9412 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.3529 loss_action_cls: 0.0314 2023/03/11 05:54:00 - mmengine - INFO - Epoch(train) [15][3660/4451] lr: 7.9084e-07 eta: 4:14:47 time: 0.6736 data_time: 0.0129 memory: 51970 grad_norm: 0.1333 loss: 0.0302 recall@thr=0.5: 0.7565 prec@thr=0.5: 0.8913 recall@top3: 0.8464 prec@top3: 0.7101 recall@top5: 0.9500 prec@top5: 0.5043 loss_action_cls: 0.0302 2023/03/11 05:54:12 - mmengine - INFO - Epoch(train) [15][3680/4451] lr: 7.8961e-07 eta: 4:14:33 time: 0.5970 data_time: 0.0134 memory: 51970 grad_norm: 0.1406 loss: 0.0314 recall@thr=0.5: 0.6726 prec@thr=0.5: 0.9107 recall@top3: 0.7857 prec@top3: 0.7381 recall@top5: 0.9524 prec@top5: 0.5429 loss_action_cls: 0.0314 2023/03/11 05:54:15 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 05:54:24 - mmengine - INFO - Epoch(train) [15][3700/4451] lr: 7.8837e-07 eta: 4:14:19 time: 0.6306 data_time: 0.0139 memory: 51970 grad_norm: 0.1417 loss: 0.0303 recall@thr=0.5: 0.7768 prec@thr=0.5: 0.8750 recall@top3: 0.8095 prec@top3: 0.7619 recall@top5: 0.9524 prec@top5: 0.5429 loss_action_cls: 0.0303 2023/03/11 05:54:38 - mmengine - INFO - Epoch(train) [15][3720/4451] lr: 7.8714e-07 eta: 4:14:06 time: 0.6633 data_time: 0.0122 memory: 51970 grad_norm: 0.1338 loss: 0.0254 recall@thr=0.5: 0.9630 prec@thr=0.5: 0.8565 recall@top3: 0.9074 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.3778 loss_action_cls: 0.0254 2023/03/11 05:54:51 - mmengine - INFO - Epoch(train) [15][3740/4451] lr: 7.8590e-07 eta: 4:13:53 time: 0.6415 data_time: 0.0132 memory: 51970 grad_norm: 0.1343 loss: 0.0291 recall@thr=0.5: 0.6765 prec@thr=0.5: 0.7647 recall@top3: 0.9216 prec@top3: 0.5098 recall@top5: 1.0000 prec@top5: 0.3294 loss_action_cls: 0.0291 2023/03/11 05:55:02 - mmengine - INFO - Epoch(train) [15][3760/4451] lr: 7.8467e-07 eta: 4:13:39 time: 0.5548 data_time: 0.0168 memory: 51970 grad_norm: 0.1349 loss: 0.0269 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8596 recall@top3: 0.7772 prec@top3: 0.7544 recall@top5: 1.0000 prec@top5: 0.5579 loss_action_cls: 0.0269 2023/03/11 05:55:15 - mmengine - INFO - Epoch(train) [15][3780/4451] lr: 7.8344e-07 eta: 4:13:26 time: 0.6887 data_time: 0.0158 memory: 51970 grad_norm: 0.1434 loss: 0.0304 recall@thr=0.5: 0.7969 prec@thr=0.5: 0.7812 recall@top3: 0.9010 prec@top3: 0.5625 recall@top5: 0.9635 prec@top5: 0.3750 loss_action_cls: 0.0304 2023/03/11 05:55:27 - mmengine - INFO - Epoch(train) [15][3800/4451] lr: 7.8221e-07 eta: 4:13:12 time: 0.5805 data_time: 0.0120 memory: 51970 grad_norm: 0.1341 loss: 0.0301 recall@thr=0.5: 0.5486 prec@thr=0.5: 0.6562 recall@top3: 0.7444 prec@top3: 0.6944 recall@top5: 0.8889 prec@top5: 0.5250 loss_action_cls: 0.0301 2023/03/11 05:55:39 - mmengine - INFO - Epoch(train) [15][3820/4451] lr: 7.8098e-07 eta: 4:12:58 time: 0.5915 data_time: 0.0129 memory: 51970 grad_norm: 0.1334 loss: 0.0317 recall@thr=0.5: 0.9278 prec@thr=0.5: 0.9278 recall@top3: 0.9056 prec@top3: 0.8333 recall@top5: 0.9667 prec@top5: 0.5400 loss_action_cls: 0.0317 2023/03/11 05:55:52 - mmengine - INFO - Epoch(train) [15][3840/4451] lr: 7.7975e-07 eta: 4:12:45 time: 0.6416 data_time: 0.0135 memory: 51970 grad_norm: 0.1296 loss: 0.0329 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.7381 recall@top3: 0.8095 prec@top3: 0.5556 recall@top5: 0.9841 prec@top5: 0.4095 loss_action_cls: 0.0329 2023/03/11 05:56:04 - mmengine - INFO - Epoch(train) [15][3860/4451] lr: 7.7852e-07 eta: 4:12:31 time: 0.6256 data_time: 0.0501 memory: 51970 grad_norm: 0.1309 loss: 0.0367 recall@thr=0.5: 0.8007 prec@thr=0.5: 0.8304 recall@top3: 0.7935 prec@top3: 0.7681 recall@top5: 0.9348 prec@top5: 0.5565 loss_action_cls: 0.0367 2023/03/11 05:56:17 - mmengine - INFO - Epoch(train) [15][3880/4451] lr: 7.7729e-07 eta: 4:12:18 time: 0.6457 data_time: 0.0120 memory: 51970 grad_norm: 0.1340 loss: 0.0302 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7308 recall@top3: 0.8846 prec@top3: 0.5897 recall@top5: 0.9615 prec@top5: 0.3769 loss_action_cls: 0.0302 2023/03/11 05:56:29 - mmengine - INFO - Epoch(train) [15][3900/4451] lr: 7.7606e-07 eta: 4:12:04 time: 0.5776 data_time: 0.0127 memory: 51970 grad_norm: 0.1344 loss: 0.0281 recall@thr=0.5: 0.6964 prec@thr=0.5: 0.7232 recall@top3: 0.7768 prec@top3: 0.5714 recall@top5: 0.9167 prec@top5: 0.4071 loss_action_cls: 0.0281 2023/03/11 05:56:41 - mmengine - INFO - Epoch(train) [15][3920/4451] lr: 7.7483e-07 eta: 4:11:50 time: 0.6356 data_time: 0.0123 memory: 51970 grad_norm: 0.1345 loss: 0.0282 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7632 recall@top3: 0.8596 prec@top3: 0.6491 recall@top5: 0.9386 prec@top5: 0.4316 loss_action_cls: 0.0282 2023/03/11 05:56:55 - mmengine - INFO - Epoch(train) [15][3940/4451] lr: 7.7361e-07 eta: 4:11:37 time: 0.6756 data_time: 0.0116 memory: 51970 grad_norm: 0.1375 loss: 0.0315 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8000 recall@top3: 0.8500 prec@top3: 0.7333 recall@top5: 0.9833 prec@top5: 0.5100 loss_action_cls: 0.0315 2023/03/11 05:57:06 - mmengine - INFO - Epoch(train) [15][3960/4451] lr: 7.7238e-07 eta: 4:11:23 time: 0.5611 data_time: 0.0126 memory: 51970 grad_norm: 0.1334 loss: 0.0294 recall@thr=0.5: 0.5536 prec@thr=0.5: 0.7143 recall@top3: 0.9464 prec@top3: 0.6429 recall@top5: 0.9643 prec@top5: 0.4000 loss_action_cls: 0.0294 2023/03/11 05:57:20 - mmengine - INFO - Epoch(train) [15][3980/4451] lr: 7.7115e-07 eta: 4:11:10 time: 0.6668 data_time: 0.0120 memory: 51970 grad_norm: 0.1349 loss: 0.0336 recall@thr=0.5: 0.6739 prec@thr=0.5: 0.7174 recall@top3: 0.7935 prec@top3: 0.7391 recall@top5: 0.8841 prec@top5: 0.5130 loss_action_cls: 0.0336 2023/03/11 05:57:31 - mmengine - INFO - Epoch(train) [15][4000/4451] lr: 7.6993e-07 eta: 4:10:56 time: 0.5810 data_time: 0.0134 memory: 51970 grad_norm: 0.1384 loss: 0.0282 recall@thr=0.5: 0.9722 prec@thr=0.5: 0.9444 recall@top3: 0.9722 prec@top3: 0.9074 recall@top5: 1.0000 prec@top5: 0.5667 loss_action_cls: 0.0282 2023/03/11 05:57:44 - mmengine - INFO - Epoch(train) [15][4020/4451] lr: 7.6871e-07 eta: 4:10:43 time: 0.6355 data_time: 0.0121 memory: 51970 grad_norm: 0.1340 loss: 0.0321 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.6842 recall@top3: 0.9649 prec@top3: 0.5088 recall@top5: 0.9649 prec@top5: 0.3053 loss_action_cls: 0.0321 2023/03/11 05:57:55 - mmengine - INFO - Epoch(train) [15][4040/4451] lr: 7.6748e-07 eta: 4:10:29 time: 0.5590 data_time: 0.0148 memory: 51970 grad_norm: 0.1455 loss: 0.0294 recall@thr=0.5: 0.7422 prec@thr=0.5: 0.8286 recall@top3: 0.8646 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4875 loss_action_cls: 0.0294 2023/03/11 05:58:09 - mmengine - INFO - Epoch(train) [15][4060/4451] lr: 7.6626e-07 eta: 4:10:16 time: 0.7016 data_time: 0.0127 memory: 51970 grad_norm: 0.1368 loss: 0.0307 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8627 recall@top3: 0.8627 prec@top3: 0.6275 recall@top5: 0.9657 prec@top5: 0.4353 loss_action_cls: 0.0307 2023/03/11 05:58:21 - mmengine - INFO - Epoch(train) [15][4080/4451] lr: 7.6504e-07 eta: 4:10:02 time: 0.5764 data_time: 0.0130 memory: 51970 grad_norm: 0.1360 loss: 0.0309 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.9167 recall@top3: 0.8833 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.4900 loss_action_cls: 0.0309 2023/03/11 05:58:34 - mmengine - INFO - Epoch(train) [15][4100/4451] lr: 7.6381e-07 eta: 4:09:49 time: 0.6690 data_time: 0.0129 memory: 51970 grad_norm: 0.1370 loss: 0.0302 recall@thr=0.5: 0.7315 prec@thr=0.5: 0.7500 recall@top3: 0.8981 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.5111 loss_action_cls: 0.0302 2023/03/11 05:58:45 - mmengine - INFO - Epoch(train) [15][4120/4451] lr: 7.6259e-07 eta: 4:09:35 time: 0.5679 data_time: 0.0129 memory: 51970 grad_norm: 0.1444 loss: 0.0347 recall@thr=0.5: 0.8417 prec@thr=0.5: 0.7958 recall@top3: 0.8750 prec@top3: 0.7000 recall@top5: 0.9875 prec@top5: 0.4900 loss_action_cls: 0.0347 2023/03/11 05:58:59 - mmengine - INFO - Epoch(train) [15][4140/4451] lr: 7.6137e-07 eta: 4:09:22 time: 0.6693 data_time: 0.0127 memory: 51970 grad_norm: 0.1365 loss: 0.0289 recall@thr=0.5: 0.6481 prec@thr=0.5: 0.7571 recall@top3: 0.7890 prec@top3: 0.7048 recall@top5: 0.9148 prec@top5: 0.5143 loss_action_cls: 0.0289 2023/03/11 05:59:11 - mmengine - INFO - Epoch(train) [15][4160/4451] lr: 7.6015e-07 eta: 4:09:08 time: 0.6181 data_time: 0.0125 memory: 51970 grad_norm: 0.1360 loss: 0.0314 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.9500 recall@top3: 0.9500 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5400 loss_action_cls: 0.0314 2023/03/11 05:59:25 - mmengine - INFO - Epoch(train) [15][4180/4451] lr: 7.5893e-07 eta: 4:08:55 time: 0.6993 data_time: 0.0131 memory: 51970 grad_norm: 0.1384 loss: 0.0291 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.6783 recall@top3: 0.7138 prec@top3: 0.5942 recall@top5: 0.9855 prec@top5: 0.4783 loss_action_cls: 0.0291 2023/03/11 05:59:37 - mmengine - INFO - Epoch(train) [15][4200/4451] lr: 7.5771e-07 eta: 4:08:41 time: 0.5912 data_time: 0.0124 memory: 51970 grad_norm: 0.1402 loss: 0.0309 recall@thr=0.5: 0.7063 prec@thr=0.5: 0.8294 recall@top3: 0.8492 prec@top3: 0.6349 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0309 2023/03/11 05:59:51 - mmengine - INFO - Epoch(train) [15][4220/4451] lr: 7.5650e-07 eta: 4:08:28 time: 0.6991 data_time: 0.0130 memory: 51970 grad_norm: 0.1333 loss: 0.0314 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8397 recall@top3: 0.7571 prec@top3: 0.7051 recall@top5: 0.9205 prec@top5: 0.5231 loss_action_cls: 0.0314 2023/03/11 06:00:03 - mmengine - INFO - Epoch(train) [15][4240/4451] lr: 7.5528e-07 eta: 4:08:14 time: 0.5813 data_time: 0.0122 memory: 51970 grad_norm: 0.1353 loss: 0.0293 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7222 recall@top3: 0.8056 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4583 loss_action_cls: 0.0293 2023/03/11 06:00:17 - mmengine - INFO - Epoch(train) [15][4260/4451] lr: 7.5406e-07 eta: 4:08:02 time: 0.7308 data_time: 0.0129 memory: 51970 grad_norm: 0.1374 loss: 0.0309 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.7608 recall@top3: 0.9569 prec@top3: 0.7059 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0309 2023/03/11 06:00:29 - mmengine - INFO - Epoch(train) [15][4280/4451] lr: 7.5285e-07 eta: 4:07:48 time: 0.5680 data_time: 0.0129 memory: 51970 grad_norm: 0.1385 loss: 0.0309 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.8700 recall@top3: 0.9300 prec@top3: 0.7467 recall@top5: 1.0000 prec@top5: 0.4960 loss_action_cls: 0.0309 2023/03/11 06:00:42 - mmengine - INFO - Epoch(train) [15][4300/4451] lr: 7.5163e-07 eta: 4:07:35 time: 0.6813 data_time: 0.0150 memory: 51970 grad_norm: 0.1354 loss: 0.0318 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.8421 recall@top3: 0.8070 prec@top3: 0.6491 recall@top5: 0.9123 prec@top5: 0.4421 loss_action_cls: 0.0318 2023/03/11 06:00:55 - mmengine - INFO - Epoch(train) [15][4320/4451] lr: 7.5042e-07 eta: 4:07:21 time: 0.6271 data_time: 0.0128 memory: 51970 grad_norm: 0.1346 loss: 0.0295 recall@thr=0.5: 0.5985 prec@thr=0.5: 0.7045 recall@top3: 0.7273 prec@top3: 0.6364 recall@top5: 0.9167 prec@top5: 0.4636 loss_action_cls: 0.0295 2023/03/11 06:01:07 - mmengine - INFO - Epoch(train) [15][4340/4451] lr: 7.4920e-07 eta: 4:07:08 time: 0.6290 data_time: 0.0138 memory: 51970 grad_norm: 0.1411 loss: 0.0312 recall@thr=0.5: 0.7587 prec@thr=0.5: 0.9524 recall@top3: 0.8579 prec@top3: 0.8571 recall@top5: 0.9603 prec@top5: 0.5905 loss_action_cls: 0.0312 2023/03/11 06:01:19 - mmengine - INFO - Epoch(train) [15][4360/4451] lr: 7.4799e-07 eta: 4:06:54 time: 0.5958 data_time: 0.0145 memory: 51970 grad_norm: 0.1356 loss: 0.0278 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.7544 recall@top3: 0.8289 prec@top3: 0.6316 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0278 2023/03/11 06:01:32 - mmengine - INFO - Epoch(train) [15][4380/4451] lr: 7.4678e-07 eta: 4:06:41 time: 0.6499 data_time: 0.0126 memory: 51970 grad_norm: 0.1327 loss: 0.0282 recall@thr=0.5: 0.7083 prec@thr=0.5: 0.7708 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9306 prec@top5: 0.4167 loss_action_cls: 0.0282 2023/03/11 06:01:45 - mmengine - INFO - Epoch(train) [15][4400/4451] lr: 7.4556e-07 eta: 4:06:27 time: 0.6586 data_time: 0.0127 memory: 51970 grad_norm: 0.1318 loss: 0.0305 recall@thr=0.5: 0.8220 prec@thr=0.5: 0.7159 recall@top3: 0.9394 prec@top3: 0.6667 recall@top5: 0.9773 prec@top5: 0.4273 loss_action_cls: 0.0305 2023/03/11 06:01:58 - mmengine - INFO - Epoch(train) [15][4420/4451] lr: 7.4435e-07 eta: 4:06:14 time: 0.6111 data_time: 0.0115 memory: 51970 grad_norm: 0.1397 loss: 0.0291 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8583 recall@top3: 0.9750 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4700 loss_action_cls: 0.0291 2023/03/11 06:02:10 - mmengine - INFO - Epoch(train) [15][4440/4451] lr: 7.4314e-07 eta: 4:06:00 time: 0.6022 data_time: 0.0123 memory: 51970 grad_norm: 0.1344 loss: 0.0295 recall@thr=0.5: 0.6773 prec@thr=0.5: 0.7318 recall@top3: 0.7682 prec@top3: 0.6515 recall@top5: 0.9909 prec@top5: 0.5273 loss_action_cls: 0.0295 2023/03/11 06:02:14 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 06:02:14 - mmengine - INFO - Epoch(train) [15][4451/4451] lr: 7.4248e-07 eta: 4:05:52 time: 0.5191 data_time: 0.0109 memory: 51970 grad_norm: 0.1370 loss: 0.0308 recall@thr=0.5: 0.5714 prec@thr=0.5: 0.6429 recall@top3: 0.9286 prec@top3: 0.5952 recall@top5: 0.9524 prec@top5: 0.3714 loss_action_cls: 0.0308 2023/03/11 06:02:14 - mmengine - INFO - Saving checkpoint at 15 epochs 2023/03/11 06:02:21 - mmengine - INFO - Epoch(val) [15][ 20/6282] eta: 0:07:55 time: 0.0759 data_time: 0.0316 memory: 2331 2023/03/11 06:02:22 - mmengine - INFO - Epoch(val) [15][ 40/6282] eta: 0:07:18 time: 0.0647 data_time: 0.0216 memory: 2331 2023/03/11 06:02:23 - mmengine - INFO - Epoch(val) [15][ 60/6282] eta: 0:06:46 time: 0.0553 data_time: 0.0121 memory: 2331 2023/03/11 06:02:24 - mmengine - INFO - Epoch(val) [15][ 80/6282] eta: 0:06:22 time: 0.0511 data_time: 0.0068 memory: 2331 2023/03/11 06:02:25 - mmengine - INFO - Epoch(val) [15][ 100/6282] eta: 0:06:01 time: 0.0453 data_time: 0.0022 memory: 2331 2023/03/11 06:02:26 - mmengine - INFO - Epoch(val) [15][ 120/6282] eta: 0:05:58 time: 0.0568 data_time: 0.0020 memory: 2934 2023/03/11 06:02:28 - mmengine - INFO - Epoch(val) [15][ 140/6282] eta: 0:06:02 time: 0.0637 data_time: 0.0024 memory: 2934 2023/03/11 06:02:29 - mmengine - INFO - Epoch(val) [15][ 160/6282] eta: 0:06:04 time: 0.0633 data_time: 0.0023 memory: 2934 2023/03/11 06:02:30 - mmengine - INFO - Epoch(val) [15][ 180/6282] eta: 0:06:05 time: 0.0626 data_time: 0.0024 memory: 2934 2023/03/11 06:02:31 - mmengine - INFO - Epoch(val) [15][ 200/6282] eta: 0:06:05 time: 0.0627 data_time: 0.0029 memory: 2934 2023/03/11 06:02:32 - mmengine - INFO - Epoch(val) [15][ 220/6282] eta: 0:05:58 time: 0.0490 data_time: 0.0028 memory: 2396 2023/03/11 06:02:33 - mmengine - INFO - Epoch(val) [15][ 240/6282] eta: 0:05:52 time: 0.0491 data_time: 0.0027 memory: 2396 2023/03/11 06:02:34 - mmengine - INFO - Epoch(val) [15][ 260/6282] eta: 0:05:47 time: 0.0514 data_time: 0.0028 memory: 2396 2023/03/11 06:02:35 - mmengine - INFO - Epoch(val) [15][ 280/6282] eta: 0:05:43 time: 0.0494 data_time: 0.0026 memory: 2396 2023/03/11 06:02:37 - mmengine - INFO - Epoch(val) [15][ 300/6282] eta: 0:05:41 time: 0.0570 data_time: 0.0027 memory: 2934 2023/03/11 06:02:38 - mmengine - INFO - Epoch(val) [15][ 320/6282] eta: 0:05:42 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 06:02:39 - mmengine - INFO - Epoch(val) [15][ 340/6282] eta: 0:05:43 time: 0.0642 data_time: 0.0024 memory: 2934 2023/03/11 06:02:40 - mmengine - INFO - Epoch(val) [15][ 360/6282] eta: 0:05:45 time: 0.0667 data_time: 0.0025 memory: 2934 2023/03/11 06:02:42 - mmengine - INFO - Epoch(val) [15][ 380/6282] eta: 0:05:47 time: 0.0672 data_time: 0.0071 memory: 2934 2023/03/11 06:02:43 - mmengine - INFO - Epoch(val) [15][ 400/6282] eta: 0:05:44 time: 0.0554 data_time: 0.0021 memory: 2934 2023/03/11 06:02:44 - mmengine - INFO - Epoch(val) [15][ 420/6282] eta: 0:05:41 time: 0.0492 data_time: 0.0021 memory: 2397 2023/03/11 06:02:45 - mmengine - INFO - Epoch(val) [15][ 440/6282] eta: 0:05:38 time: 0.0523 data_time: 0.0068 memory: 2397 2023/03/11 06:02:46 - mmengine - INFO - Epoch(val) [15][ 460/6282] eta: 0:05:37 time: 0.0608 data_time: 0.0156 memory: 2397 2023/03/11 06:02:47 - mmengine - INFO - Epoch(val) [15][ 480/6282] eta: 0:05:36 time: 0.0583 data_time: 0.0118 memory: 2397 2023/03/11 06:02:49 - mmengine - INFO - Epoch(val) [15][ 500/6282] eta: 0:05:35 time: 0.0564 data_time: 0.0094 memory: 2397 2023/03/11 06:02:50 - mmengine - INFO - Epoch(val) [15][ 520/6282] eta: 0:05:33 time: 0.0551 data_time: 0.0099 memory: 2396 2023/03/11 06:02:51 - mmengine - INFO - Epoch(val) [15][ 540/6282] eta: 0:05:32 time: 0.0585 data_time: 0.0118 memory: 2396 2023/03/11 06:02:52 - mmengine - INFO - Epoch(val) [15][ 560/6282] eta: 0:05:32 time: 0.0615 data_time: 0.0149 memory: 2396 2023/03/11 06:02:53 - mmengine - INFO - Epoch(val) [15][ 580/6282] eta: 0:05:31 time: 0.0597 data_time: 0.0132 memory: 2396 2023/03/11 06:02:54 - mmengine - INFO - Epoch(val) [15][ 600/6282] eta: 0:05:29 time: 0.0563 data_time: 0.0112 memory: 2396 2023/03/11 06:02:55 - mmengine - INFO - Epoch(val) [15][ 620/6282] eta: 0:05:26 time: 0.0492 data_time: 0.0036 memory: 2396 2023/03/11 06:02:56 - mmengine - INFO - Epoch(val) [15][ 640/6282] eta: 0:05:24 time: 0.0492 data_time: 0.0036 memory: 2332 2023/03/11 06:02:57 - mmengine - INFO - Epoch(val) [15][ 660/6282] eta: 0:05:21 time: 0.0480 data_time: 0.0031 memory: 2332 2023/03/11 06:02:58 - mmengine - INFO - Epoch(val) [15][ 680/6282] eta: 0:05:18 time: 0.0483 data_time: 0.0029 memory: 2332 2023/03/11 06:02:59 - mmengine - INFO - Epoch(val) [15][ 700/6282] eta: 0:05:16 time: 0.0488 data_time: 0.0035 memory: 2332 2023/03/11 06:03:01 - mmengine - INFO - Epoch(val) [15][ 720/6282] eta: 0:05:19 time: 0.0811 data_time: 0.0221 memory: 2934 2023/03/11 06:03:03 - mmengine - INFO - Epoch(val) [15][ 740/6282] eta: 0:05:26 time: 0.1174 data_time: 0.0553 memory: 2934 2023/03/11 06:03:05 - mmengine - INFO - Epoch(val) [15][ 760/6282] eta: 0:05:29 time: 0.0881 data_time: 0.0268 memory: 2934 2023/03/11 06:03:07 - mmengine - INFO - Epoch(val) [15][ 780/6282] eta: 0:05:33 time: 0.0906 data_time: 0.0308 memory: 2934 2023/03/11 06:03:09 - mmengine - INFO - Epoch(val) [15][ 800/6282] eta: 0:05:36 time: 0.0907 data_time: 0.0310 memory: 2934 2023/03/11 06:03:10 - mmengine - INFO - Epoch(val) [15][ 820/6282] eta: 0:05:35 time: 0.0638 data_time: 0.0122 memory: 2934 2023/03/11 06:03:11 - mmengine - INFO - Epoch(val) [15][ 840/6282] eta: 0:05:33 time: 0.0599 data_time: 0.0138 memory: 2396 2023/03/11 06:03:12 - mmengine - INFO - Epoch(val) [15][ 860/6282] eta: 0:05:31 time: 0.0559 data_time: 0.0087 memory: 2396 2023/03/11 06:03:13 - mmengine - INFO - Epoch(val) [15][ 880/6282] eta: 0:05:29 time: 0.0557 data_time: 0.0081 memory: 2396 2023/03/11 06:03:15 - mmengine - INFO - Epoch(val) [15][ 900/6282] eta: 0:05:28 time: 0.0561 data_time: 0.0110 memory: 2396 2023/03/11 06:03:16 - mmengine - INFO - Epoch(val) [15][ 920/6282] eta: 0:05:26 time: 0.0590 data_time: 0.0124 memory: 2396 2023/03/11 06:03:17 - mmengine - INFO - Epoch(val) [15][ 940/6282] eta: 0:05:25 time: 0.0570 data_time: 0.0130 memory: 2331 2023/03/11 06:03:18 - mmengine - INFO - Epoch(val) [15][ 960/6282] eta: 0:05:23 time: 0.0574 data_time: 0.0128 memory: 2331 2023/03/11 06:03:19 - mmengine - INFO - Epoch(val) [15][ 980/6282] eta: 0:05:21 time: 0.0578 data_time: 0.0149 memory: 2331 2023/03/11 06:03:21 - mmengine - INFO - Epoch(val) [15][1000/6282] eta: 0:05:23 time: 0.0849 data_time: 0.0393 memory: 2331 2023/03/11 06:03:22 - mmengine - INFO - Epoch(val) [15][1020/6282] eta: 0:05:22 time: 0.0705 data_time: 0.0265 memory: 2396 2023/03/11 06:03:24 - mmengine - INFO - Epoch(val) [15][1040/6282] eta: 0:05:21 time: 0.0542 data_time: 0.0082 memory: 2396 2023/03/11 06:03:25 - mmengine - INFO - Epoch(val) [15][1060/6282] eta: 0:05:19 time: 0.0620 data_time: 0.0153 memory: 2396 2023/03/11 06:03:26 - mmengine - INFO - Epoch(val) [15][1080/6282] eta: 0:05:17 time: 0.0529 data_time: 0.0070 memory: 2396 2023/03/11 06:03:27 - mmengine - INFO - Epoch(val) [15][1100/6282] eta: 0:05:16 time: 0.0616 data_time: 0.0163 memory: 2396 2023/03/11 06:03:28 - mmengine - INFO - Epoch(val) [15][1120/6282] eta: 0:05:14 time: 0.0546 data_time: 0.0094 memory: 2396 2023/03/11 06:03:29 - mmengine - INFO - Epoch(val) [15][1140/6282] eta: 0:05:13 time: 0.0566 data_time: 0.0103 memory: 2396 2023/03/11 06:03:30 - mmengine - INFO - Epoch(val) [15][1160/6282] eta: 0:05:11 time: 0.0514 data_time: 0.0029 memory: 2396 2023/03/11 06:03:31 - mmengine - INFO - Epoch(val) [15][1180/6282] eta: 0:05:08 time: 0.0497 data_time: 0.0025 memory: 2396 2023/03/11 06:03:32 - mmengine - INFO - Epoch(val) [15][1200/6282] eta: 0:05:06 time: 0.0479 data_time: 0.0023 memory: 2396 2023/03/11 06:03:33 - mmengine - INFO - Epoch(val) [15][1220/6282] eta: 0:05:04 time: 0.0511 data_time: 0.0032 memory: 2396 2023/03/11 06:03:35 - mmengine - INFO - Epoch(val) [15][1240/6282] eta: 0:05:05 time: 0.0904 data_time: 0.0296 memory: 2934 2023/03/11 06:03:37 - mmengine - INFO - Epoch(val) [15][1260/6282] eta: 0:05:07 time: 0.0932 data_time: 0.0309 memory: 2934 2023/03/11 06:03:39 - mmengine - INFO - Epoch(val) [15][1280/6282] eta: 0:05:09 time: 0.1064 data_time: 0.0429 memory: 2934 2023/03/11 06:03:41 - mmengine - INFO - Epoch(val) [15][1300/6282] eta: 0:05:10 time: 0.0850 data_time: 0.0234 memory: 2934 2023/03/11 06:03:43 - mmengine - INFO - Epoch(val) [15][1320/6282] eta: 0:05:12 time: 0.1122 data_time: 0.0506 memory: 2934 2023/03/11 06:03:45 - mmengine - INFO - Epoch(val) [15][1340/6282] eta: 0:05:13 time: 0.0869 data_time: 0.0239 memory: 2934 2023/03/11 06:03:47 - mmengine - INFO - Epoch(val) [15][1360/6282] eta: 0:05:14 time: 0.1039 data_time: 0.0424 memory: 2934 2023/03/11 06:03:49 - mmengine - INFO - Epoch(val) [15][1380/6282] eta: 0:05:15 time: 0.0859 data_time: 0.0239 memory: 2934 2023/03/11 06:03:50 - mmengine - INFO - Epoch(val) [15][1400/6282] eta: 0:05:14 time: 0.0730 data_time: 0.0118 memory: 2934 2023/03/11 06:03:51 - mmengine - INFO - Epoch(val) [15][1420/6282] eta: 0:05:13 time: 0.0622 data_time: 0.0022 memory: 2934 2023/03/11 06:03:53 - mmengine - INFO - Epoch(val) [15][1440/6282] eta: 0:05:11 time: 0.0628 data_time: 0.0024 memory: 2934 2023/03/11 06:03:54 - mmengine - INFO - Epoch(val) [15][1460/6282] eta: 0:05:10 time: 0.0622 data_time: 0.0023 memory: 2934 2023/03/11 06:03:55 - mmengine - INFO - Epoch(val) [15][1480/6282] eta: 0:05:08 time: 0.0626 data_time: 0.0025 memory: 2934 2023/03/11 06:03:57 - mmengine - INFO - Epoch(val) [15][1500/6282] eta: 0:05:07 time: 0.0626 data_time: 0.0025 memory: 2934 2023/03/11 06:03:58 - mmengine - INFO - Epoch(val) [15][1520/6282] eta: 0:05:06 time: 0.0636 data_time: 0.0025 memory: 3958 2023/03/11 06:04:00 - mmengine - INFO - Epoch(val) [15][1540/6282] eta: 0:05:06 time: 0.0860 data_time: 0.0026 memory: 3958 2023/03/11 06:04:01 - mmengine - INFO - Epoch(val) [15][1560/6282] eta: 0:05:06 time: 0.0860 data_time: 0.0025 memory: 3958 2023/03/11 06:04:03 - mmengine - INFO - Epoch(val) [15][1580/6282] eta: 0:05:06 time: 0.0869 data_time: 0.0032 memory: 3958 2023/03/11 06:04:05 - mmengine - INFO - Epoch(val) [15][1600/6282] eta: 0:05:06 time: 0.0860 data_time: 0.0026 memory: 3958 2023/03/11 06:04:06 - mmengine - INFO - Epoch(val) [15][1620/6282] eta: 0:05:05 time: 0.0859 data_time: 0.0025 memory: 3958 2023/03/11 06:04:08 - mmengine - INFO - Epoch(val) [15][1640/6282] eta: 0:05:04 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 06:04:09 - mmengine - INFO - Epoch(val) [15][1660/6282] eta: 0:05:02 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/11 06:04:10 - mmengine - INFO - Epoch(val) [15][1680/6282] eta: 0:05:01 time: 0.0619 data_time: 0.0022 memory: 2934 2023/03/11 06:04:11 - mmengine - INFO - Epoch(val) [15][1700/6282] eta: 0:04:59 time: 0.0620 data_time: 0.0022 memory: 2934 2023/03/11 06:04:13 - mmengine - INFO - Epoch(val) [15][1720/6282] eta: 0:04:58 time: 0.0620 data_time: 0.0022 memory: 2934 2023/03/11 06:04:14 - mmengine - INFO - Epoch(val) [15][1740/6282] eta: 0:04:56 time: 0.0617 data_time: 0.0021 memory: 2934 2023/03/11 06:04:15 - mmengine - INFO - Epoch(val) [15][1760/6282] eta: 0:04:55 time: 0.0618 data_time: 0.0022 memory: 2934 2023/03/11 06:04:16 - mmengine - INFO - Epoch(val) [15][1780/6282] eta: 0:04:54 time: 0.0632 data_time: 0.0027 memory: 2934 2023/03/11 06:04:18 - mmengine - INFO - Epoch(val) [15][1800/6282] eta: 0:04:52 time: 0.0649 data_time: 0.0032 memory: 2934 2023/03/11 06:04:19 - mmengine - INFO - Epoch(val) [15][1820/6282] eta: 0:04:51 time: 0.0659 data_time: 0.0036 memory: 2934 2023/03/11 06:04:20 - mmengine - INFO - Epoch(val) [15][1840/6282] eta: 0:04:50 time: 0.0668 data_time: 0.0041 memory: 2934 2023/03/11 06:04:22 - mmengine - INFO - Epoch(val) [15][1860/6282] eta: 0:04:50 time: 0.0959 data_time: 0.0337 memory: 2934 2023/03/11 06:04:24 - mmengine - INFO - Epoch(val) [15][1880/6282] eta: 0:04:50 time: 0.0886 data_time: 0.0264 memory: 2934 2023/03/11 06:04:27 - mmengine - INFO - Epoch(val) [15][1900/6282] eta: 0:04:51 time: 0.1247 data_time: 0.0341 memory: 2934 2023/03/11 06:04:28 - mmengine - INFO - Epoch(val) [15][1920/6282] eta: 0:04:50 time: 0.0793 data_time: 0.0184 memory: 2934 2023/03/11 06:04:30 - mmengine - INFO - Epoch(val) [15][1940/6282] eta: 0:04:49 time: 0.0800 data_time: 0.0224 memory: 2934 2023/03/11 06:04:31 - mmengine - INFO - Epoch(val) [15][1960/6282] eta: 0:04:47 time: 0.0508 data_time: 0.0035 memory: 2397 2023/03/11 06:04:32 - mmengine - INFO - Epoch(val) [15][1980/6282] eta: 0:04:46 time: 0.0589 data_time: 0.0113 memory: 2397 2023/03/11 06:04:33 - mmengine - INFO - Epoch(val) [15][2000/6282] eta: 0:04:44 time: 0.0559 data_time: 0.0106 memory: 2397 2023/03/11 06:04:34 - mmengine - INFO - Epoch(val) [15][2020/6282] eta: 0:04:42 time: 0.0554 data_time: 0.0088 memory: 2397 2023/03/11 06:04:36 - mmengine - INFO - Epoch(val) [15][2040/6282] eta: 0:04:41 time: 0.0588 data_time: 0.0121 memory: 2397 2023/03/11 06:04:37 - mmengine - INFO - Epoch(val) [15][2060/6282] eta: 0:04:39 time: 0.0622 data_time: 0.0154 memory: 2397 2023/03/11 06:04:38 - mmengine - INFO - Epoch(val) [15][2080/6282] eta: 0:04:37 time: 0.0549 data_time: 0.0097 memory: 2397 2023/03/11 06:04:39 - mmengine - INFO - Epoch(val) [15][2100/6282] eta: 0:04:36 time: 0.0570 data_time: 0.0109 memory: 2397 2023/03/11 06:04:40 - mmengine - INFO - Epoch(val) [15][2120/6282] eta: 0:04:34 time: 0.0549 data_time: 0.0096 memory: 2397 2023/03/11 06:04:42 - mmengine - INFO - Epoch(val) [15][2140/6282] eta: 0:04:33 time: 0.0806 data_time: 0.0324 memory: 2397 2023/03/11 06:04:43 - mmengine - INFO - Epoch(val) [15][2160/6282] eta: 0:04:31 time: 0.0532 data_time: 0.0074 memory: 2396 2023/03/11 06:04:44 - mmengine - INFO - Epoch(val) [15][2180/6282] eta: 0:04:30 time: 0.0566 data_time: 0.0108 memory: 2396 2023/03/11 06:04:45 - mmengine - INFO - Epoch(val) [15][2200/6282] eta: 0:04:28 time: 0.0571 data_time: 0.0089 memory: 2396 2023/03/11 06:04:46 - mmengine - INFO - Epoch(val) [15][2220/6282] eta: 0:04:26 time: 0.0602 data_time: 0.0151 memory: 2396 2023/03/11 06:04:47 - mmengine - INFO - Epoch(val) [15][2240/6282] eta: 0:04:25 time: 0.0547 data_time: 0.0077 memory: 2396 2023/03/11 06:04:49 - mmengine - INFO - Epoch(val) [15][2260/6282] eta: 0:04:23 time: 0.0588 data_time: 0.0119 memory: 2397 2023/03/11 06:04:50 - mmengine - INFO - Epoch(val) [15][2280/6282] eta: 0:04:21 time: 0.0530 data_time: 0.0078 memory: 2397 2023/03/11 06:04:51 - mmengine - INFO - Epoch(val) [15][2300/6282] eta: 0:04:20 time: 0.0595 data_time: 0.0126 memory: 2397 2023/03/11 06:04:52 - mmengine - INFO - Epoch(val) [15][2320/6282] eta: 0:04:18 time: 0.0536 data_time: 0.0084 memory: 2397 2023/03/11 06:04:53 - mmengine - INFO - Epoch(val) [15][2340/6282] eta: 0:04:17 time: 0.0607 data_time: 0.0127 memory: 2397 2023/03/11 06:04:54 - mmengine - INFO - Epoch(val) [15][2360/6282] eta: 0:04:15 time: 0.0537 data_time: 0.0069 memory: 2396 2023/03/11 06:04:55 - mmengine - INFO - Epoch(val) [15][2380/6282] eta: 0:04:13 time: 0.0547 data_time: 0.0086 memory: 2396 2023/03/11 06:04:56 - mmengine - INFO - Epoch(val) [15][2400/6282] eta: 0:04:12 time: 0.0541 data_time: 0.0063 memory: 2396 2023/03/11 06:04:57 - mmengine - INFO - Epoch(val) [15][2420/6282] eta: 0:04:10 time: 0.0496 data_time: 0.0026 memory: 2396 2023/03/11 06:04:58 - mmengine - INFO - Epoch(val) [15][2440/6282] eta: 0:04:08 time: 0.0508 data_time: 0.0026 memory: 2396 2023/03/11 06:05:00 - mmengine - INFO - Epoch(val) [15][2460/6282] eta: 0:04:07 time: 0.0667 data_time: 0.0036 memory: 2934 2023/03/11 06:05:01 - mmengine - INFO - Epoch(val) [15][2480/6282] eta: 0:04:06 time: 0.0645 data_time: 0.0028 memory: 2934 2023/03/11 06:05:03 - mmengine - INFO - Epoch(val) [15][2500/6282] eta: 0:04:05 time: 0.0750 data_time: 0.0133 memory: 2934 2023/03/11 06:05:04 - mmengine - INFO - Epoch(val) [15][2520/6282] eta: 0:04:03 time: 0.0658 data_time: 0.0037 memory: 2934 2023/03/11 06:05:05 - mmengine - INFO - Epoch(val) [15][2540/6282] eta: 0:04:02 time: 0.0651 data_time: 0.0037 memory: 2934 2023/03/11 06:05:07 - mmengine - INFO - Epoch(val) [15][2560/6282] eta: 0:04:01 time: 0.0871 data_time: 0.0246 memory: 2934 2023/03/11 06:05:09 - mmengine - INFO - Epoch(val) [15][2580/6282] eta: 0:04:01 time: 0.0988 data_time: 0.0370 memory: 2934 2023/03/11 06:05:11 - mmengine - INFO - Epoch(val) [15][2600/6282] eta: 0:04:01 time: 0.0977 data_time: 0.0352 memory: 2934 2023/03/11 06:05:13 - mmengine - INFO - Epoch(val) [15][2620/6282] eta: 0:04:00 time: 0.0876 data_time: 0.0263 memory: 2934 2023/03/11 06:05:14 - mmengine - INFO - Epoch(val) [15][2640/6282] eta: 0:03:59 time: 0.0644 data_time: 0.0041 memory: 2934 2023/03/11 06:05:16 - mmengine - INFO - Epoch(val) [15][2660/6282] eta: 0:03:58 time: 0.0844 data_time: 0.0024 memory: 3842 2023/03/11 06:05:17 - mmengine - INFO - Epoch(val) [15][2680/6282] eta: 0:03:57 time: 0.0843 data_time: 0.0026 memory: 3842 2023/03/11 06:05:19 - mmengine - INFO - Epoch(val) [15][2700/6282] eta: 0:03:56 time: 0.0844 data_time: 0.0026 memory: 3842 2023/03/11 06:05:21 - mmengine - INFO - Epoch(val) [15][2720/6282] eta: 0:03:55 time: 0.0841 data_time: 0.0026 memory: 3842 2023/03/11 06:05:22 - mmengine - INFO - Epoch(val) [15][2740/6282] eta: 0:03:54 time: 0.0796 data_time: 0.0024 memory: 3842 2023/03/11 06:05:23 - mmengine - INFO - Epoch(val) [15][2760/6282] eta: 0:03:53 time: 0.0490 data_time: 0.0023 memory: 2397 2023/03/11 06:05:24 - mmengine - INFO - Epoch(val) [15][2780/6282] eta: 0:03:51 time: 0.0473 data_time: 0.0021 memory: 2397 2023/03/11 06:05:25 - mmengine - INFO - Epoch(val) [15][2800/6282] eta: 0:03:49 time: 0.0506 data_time: 0.0035 memory: 2397 2023/03/11 06:05:27 - mmengine - INFO - Epoch(val) [15][2820/6282] eta: 0:03:48 time: 0.0557 data_time: 0.0092 memory: 2397 2023/03/11 06:05:28 - mmengine - INFO - Epoch(val) [15][2840/6282] eta: 0:03:46 time: 0.0504 data_time: 0.0027 memory: 2397 2023/03/11 06:05:29 - mmengine - INFO - Epoch(val) [15][2860/6282] eta: 0:03:44 time: 0.0616 data_time: 0.0049 memory: 2934 2023/03/11 06:05:30 - mmengine - INFO - Epoch(val) [15][2880/6282] eta: 0:03:43 time: 0.0641 data_time: 0.0025 memory: 2934 2023/03/11 06:05:32 - mmengine - INFO - Epoch(val) [15][2900/6282] eta: 0:03:42 time: 0.0713 data_time: 0.0114 memory: 2934 2023/03/11 06:05:33 - mmengine - INFO - Epoch(val) [15][2920/6282] eta: 0:03:40 time: 0.0548 data_time: 0.0029 memory: 2934 2023/03/11 06:05:34 - mmengine - INFO - Epoch(val) [15][2940/6282] eta: 0:03:39 time: 0.0593 data_time: 0.0079 memory: 2609 2023/03/11 06:05:35 - mmengine - INFO - Epoch(val) [15][2960/6282] eta: 0:03:37 time: 0.0561 data_time: 0.0047 memory: 2609 2023/03/11 06:05:37 - mmengine - INFO - Epoch(val) [15][2980/6282] eta: 0:03:37 time: 0.0972 data_time: 0.0465 memory: 2609 2023/03/11 06:05:38 - mmengine - INFO - Epoch(val) [15][3000/6282] eta: 0:03:35 time: 0.0585 data_time: 0.0082 memory: 2609 2023/03/11 06:05:39 - mmengine - INFO - Epoch(val) [15][3020/6282] eta: 0:03:34 time: 0.0642 data_time: 0.0034 memory: 2934 2023/03/11 06:05:41 - mmengine - INFO - Epoch(val) [15][3040/6282] eta: 0:03:33 time: 0.0646 data_time: 0.0023 memory: 2934 2023/03/11 06:05:42 - mmengine - INFO - Epoch(val) [15][3060/6282] eta: 0:03:31 time: 0.0657 data_time: 0.0027 memory: 2934 2023/03/11 06:05:43 - mmengine - INFO - Epoch(val) [15][3080/6282] eta: 0:03:30 time: 0.0640 data_time: 0.0025 memory: 2934 2023/03/11 06:05:44 - mmengine - INFO - Epoch(val) [15][3100/6282] eta: 0:03:28 time: 0.0561 data_time: 0.0022 memory: 2934 2023/03/11 06:05:45 - mmengine - INFO - Epoch(val) [15][3120/6282] eta: 0:03:27 time: 0.0477 data_time: 0.0022 memory: 2397 2023/03/11 06:05:46 - mmengine - INFO - Epoch(val) [15][3140/6282] eta: 0:03:25 time: 0.0534 data_time: 0.0067 memory: 2397 2023/03/11 06:05:48 - mmengine - INFO - Epoch(val) [15][3160/6282] eta: 0:03:24 time: 0.0551 data_time: 0.0072 memory: 2397 2023/03/11 06:05:49 - mmengine - INFO - Epoch(val) [15][3180/6282] eta: 0:03:22 time: 0.0486 data_time: 0.0027 memory: 2397 2023/03/11 06:05:50 - mmengine - INFO - Epoch(val) [15][3200/6282] eta: 0:03:21 time: 0.0630 data_time: 0.0061 memory: 2934 2023/03/11 06:05:51 - mmengine - INFO - Epoch(val) [15][3220/6282] eta: 0:03:19 time: 0.0643 data_time: 0.0027 memory: 2934 2023/03/11 06:05:52 - mmengine - INFO - Epoch(val) [15][3240/6282] eta: 0:03:18 time: 0.0657 data_time: 0.0028 memory: 2934 2023/03/11 06:05:54 - mmengine - INFO - Epoch(val) [15][3260/6282] eta: 0:03:17 time: 0.0641 data_time: 0.0025 memory: 2934 2023/03/11 06:05:55 - mmengine - INFO - Epoch(val) [15][3280/6282] eta: 0:03:15 time: 0.0628 data_time: 0.0023 memory: 2934 2023/03/11 06:05:56 - mmengine - INFO - Epoch(val) [15][3300/6282] eta: 0:03:14 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/11 06:05:58 - mmengine - INFO - Epoch(val) [15][3320/6282] eta: 0:03:13 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/11 06:05:59 - mmengine - INFO - Epoch(val) [15][3340/6282] eta: 0:03:11 time: 0.0623 data_time: 0.0025 memory: 2934 2023/03/11 06:06:00 - mmengine - INFO - Epoch(val) [15][3360/6282] eta: 0:03:10 time: 0.0622 data_time: 0.0024 memory: 2934 2023/03/11 06:06:01 - mmengine - INFO - Epoch(val) [15][3380/6282] eta: 0:03:09 time: 0.0593 data_time: 0.0026 memory: 2934 2023/03/11 06:06:02 - mmengine - INFO - Epoch(val) [15][3400/6282] eta: 0:03:07 time: 0.0510 data_time: 0.0059 memory: 2396 2023/03/11 06:06:03 - mmengine - INFO - Epoch(val) [15][3420/6282] eta: 0:03:06 time: 0.0564 data_time: 0.0098 memory: 2396 2023/03/11 06:06:04 - mmengine - INFO - Epoch(val) [15][3440/6282] eta: 0:03:04 time: 0.0561 data_time: 0.0094 memory: 2396 2023/03/11 06:06:06 - mmengine - INFO - Epoch(val) [15][3460/6282] eta: 0:03:03 time: 0.0641 data_time: 0.0184 memory: 2396 2023/03/11 06:06:07 - mmengine - INFO - Epoch(val) [15][3480/6282] eta: 0:03:01 time: 0.0577 data_time: 0.0112 memory: 2396 2023/03/11 06:06:08 - mmengine - INFO - Epoch(val) [15][3500/6282] eta: 0:03:00 time: 0.0582 data_time: 0.0132 memory: 2396 2023/03/11 06:06:09 - mmengine - INFO - Epoch(val) [15][3520/6282] eta: 0:02:59 time: 0.0566 data_time: 0.0104 memory: 2396 2023/03/11 06:06:10 - mmengine - INFO - Epoch(val) [15][3540/6282] eta: 0:02:57 time: 0.0605 data_time: 0.0134 memory: 2396 2023/03/11 06:06:12 - mmengine - INFO - Epoch(val) [15][3560/6282] eta: 0:02:56 time: 0.0592 data_time: 0.0123 memory: 2396 2023/03/11 06:06:13 - mmengine - INFO - Epoch(val) [15][3580/6282] eta: 0:02:54 time: 0.0607 data_time: 0.0088 memory: 2765 2023/03/11 06:06:14 - mmengine - INFO - Epoch(val) [15][3600/6282] eta: 0:02:53 time: 0.0569 data_time: 0.0022 memory: 2765 2023/03/11 06:06:16 - mmengine - INFO - Epoch(val) [15][3620/6282] eta: 0:02:52 time: 0.1116 data_time: 0.0570 memory: 2765 2023/03/11 06:06:18 - mmengine - INFO - Epoch(val) [15][3640/6282] eta: 0:02:51 time: 0.0606 data_time: 0.0041 memory: 2765 2023/03/11 06:06:19 - mmengine - INFO - Epoch(val) [15][3660/6282] eta: 0:02:50 time: 0.0603 data_time: 0.0026 memory: 2765 2023/03/11 06:06:20 - mmengine - INFO - Epoch(val) [15][3680/6282] eta: 0:02:48 time: 0.0636 data_time: 0.0036 memory: 2934 2023/03/11 06:06:21 - mmengine - INFO - Epoch(val) [15][3700/6282] eta: 0:02:47 time: 0.0655 data_time: 0.0028 memory: 2934 2023/03/11 06:06:23 - mmengine - INFO - Epoch(val) [15][3720/6282] eta: 0:02:46 time: 0.0638 data_time: 0.0033 memory: 2934 2023/03/11 06:06:24 - mmengine - INFO - Epoch(val) [15][3740/6282] eta: 0:02:45 time: 0.0650 data_time: 0.0032 memory: 2934 2023/03/11 06:06:25 - mmengine - INFO - Epoch(val) [15][3760/6282] eta: 0:02:43 time: 0.0637 data_time: 0.0029 memory: 2934 2023/03/11 06:06:27 - mmengine - INFO - Epoch(val) [15][3780/6282] eta: 0:02:42 time: 0.0655 data_time: 0.0029 memory: 2934 2023/03/11 06:06:28 - mmengine - INFO - Epoch(val) [15][3800/6282] eta: 0:02:41 time: 0.0640 data_time: 0.0031 memory: 2934 2023/03/11 06:06:29 - mmengine - INFO - Epoch(val) [15][3820/6282] eta: 0:02:39 time: 0.0670 data_time: 0.0032 memory: 2934 2023/03/11 06:06:30 - mmengine - INFO - Epoch(val) [15][3840/6282] eta: 0:02:38 time: 0.0638 data_time: 0.0030 memory: 2934 2023/03/11 06:06:32 - mmengine - INFO - Epoch(val) [15][3860/6282] eta: 0:02:37 time: 0.0634 data_time: 0.0027 memory: 2934 2023/03/11 06:06:33 - mmengine - INFO - Epoch(val) [15][3880/6282] eta: 0:02:35 time: 0.0649 data_time: 0.0029 memory: 2934 2023/03/11 06:06:34 - mmengine - INFO - Epoch(val) [15][3900/6282] eta: 0:02:34 time: 0.0695 data_time: 0.0031 memory: 2934 2023/03/11 06:06:36 - mmengine - INFO - Epoch(val) [15][3920/6282] eta: 0:02:33 time: 0.0646 data_time: 0.0027 memory: 2934 2023/03/11 06:06:37 - mmengine - INFO - Epoch(val) [15][3940/6282] eta: 0:02:32 time: 0.0654 data_time: 0.0033 memory: 2934 2023/03/11 06:06:38 - mmengine - INFO - Epoch(val) [15][3960/6282] eta: 0:02:30 time: 0.0626 data_time: 0.0026 memory: 2934 2023/03/11 06:06:40 - mmengine - INFO - Epoch(val) [15][3980/6282] eta: 0:02:29 time: 0.0626 data_time: 0.0024 memory: 2934 2023/03/11 06:06:41 - mmengine - INFO - Epoch(val) [15][4000/6282] eta: 0:02:28 time: 0.0622 data_time: 0.0024 memory: 2934 2023/03/11 06:06:42 - mmengine - INFO - Epoch(val) [15][4020/6282] eta: 0:02:26 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 06:06:43 - mmengine - INFO - Epoch(val) [15][4040/6282] eta: 0:02:25 time: 0.0651 data_time: 0.0022 memory: 3842 2023/03/11 06:06:45 - mmengine - INFO - Epoch(val) [15][4060/6282] eta: 0:02:24 time: 0.0835 data_time: 0.0023 memory: 3842 2023/03/11 06:06:47 - mmengine - INFO - Epoch(val) [15][4080/6282] eta: 0:02:23 time: 0.0851 data_time: 0.0024 memory: 3842 2023/03/11 06:06:48 - mmengine - INFO - Epoch(val) [15][4100/6282] eta: 0:02:22 time: 0.0838 data_time: 0.0026 memory: 3842 2023/03/11 06:06:50 - mmengine - INFO - Epoch(val) [15][4120/6282] eta: 0:02:21 time: 0.0838 data_time: 0.0024 memory: 3842 2023/03/11 06:06:52 - mmengine - INFO - Epoch(val) [15][4140/6282] eta: 0:02:19 time: 0.0700 data_time: 0.0025 memory: 3842 2023/03/11 06:06:53 - mmengine - INFO - Epoch(val) [15][4160/6282] eta: 0:02:18 time: 0.0473 data_time: 0.0021 memory: 2396 2023/03/11 06:06:54 - mmengine - INFO - Epoch(val) [15][4180/6282] eta: 0:02:16 time: 0.0511 data_time: 0.0038 memory: 2396 2023/03/11 06:06:55 - mmengine - INFO - Epoch(val) [15][4200/6282] eta: 0:02:15 time: 0.0618 data_time: 0.0141 memory: 2396 2023/03/11 06:06:56 - mmengine - INFO - Epoch(val) [15][4220/6282] eta: 0:02:14 time: 0.0619 data_time: 0.0154 memory: 2396 2023/03/11 06:06:57 - mmengine - INFO - Epoch(val) [15][4240/6282] eta: 0:02:12 time: 0.0624 data_time: 0.0162 memory: 2396 2023/03/11 06:06:59 - mmengine - INFO - Epoch(val) [15][4260/6282] eta: 0:02:11 time: 0.0903 data_time: 0.0442 memory: 2396 2023/03/11 06:07:00 - mmengine - INFO - Epoch(val) [15][4280/6282] eta: 0:02:10 time: 0.0624 data_time: 0.0158 memory: 2396 2023/03/11 06:07:02 - mmengine - INFO - Epoch(val) [15][4300/6282] eta: 0:02:09 time: 0.0765 data_time: 0.0304 memory: 2396 2023/03/11 06:07:03 - mmengine - INFO - Epoch(val) [15][4320/6282] eta: 0:02:07 time: 0.0631 data_time: 0.0152 memory: 2396 2023/03/11 06:07:04 - mmengine - INFO - Epoch(val) [15][4340/6282] eta: 0:02:06 time: 0.0631 data_time: 0.0145 memory: 2396 2023/03/11 06:07:06 - mmengine - INFO - Epoch(val) [15][4360/6282] eta: 0:02:05 time: 0.0649 data_time: 0.0053 memory: 2934 2023/03/11 06:07:07 - mmengine - INFO - Epoch(val) [15][4380/6282] eta: 0:02:04 time: 0.0644 data_time: 0.0046 memory: 2934 2023/03/11 06:07:08 - mmengine - INFO - Epoch(val) [15][4400/6282] eta: 0:02:02 time: 0.0642 data_time: 0.0022 memory: 2934 2023/03/11 06:07:10 - mmengine - INFO - Epoch(val) [15][4420/6282] eta: 0:02:01 time: 0.1052 data_time: 0.0416 memory: 2934 2023/03/11 06:07:12 - mmengine - INFO - Epoch(val) [15][4440/6282] eta: 0:02:00 time: 0.0684 data_time: 0.0023 memory: 3023 2023/03/11 06:07:13 - mmengine - INFO - Epoch(val) [15][4460/6282] eta: 0:01:59 time: 0.0664 data_time: 0.0022 memory: 3023 2023/03/11 06:07:15 - mmengine - INFO - Epoch(val) [15][4480/6282] eta: 0:01:57 time: 0.0660 data_time: 0.0026 memory: 3023 2023/03/11 06:07:16 - mmengine - INFO - Epoch(val) [15][4500/6282] eta: 0:01:56 time: 0.0650 data_time: 0.0022 memory: 3023 2023/03/11 06:07:17 - mmengine - INFO - Epoch(val) [15][4520/6282] eta: 0:01:55 time: 0.0609 data_time: 0.0023 memory: 3023 2023/03/11 06:07:18 - mmengine - INFO - Epoch(val) [15][4540/6282] eta: 0:01:53 time: 0.0484 data_time: 0.0022 memory: 2464 2023/03/11 06:07:19 - mmengine - INFO - Epoch(val) [15][4560/6282] eta: 0:01:52 time: 0.0511 data_time: 0.0044 memory: 2464 2023/03/11 06:07:20 - mmengine - INFO - Epoch(val) [15][4580/6282] eta: 0:01:51 time: 0.0596 data_time: 0.0106 memory: 2464 2023/03/11 06:07:22 - mmengine - INFO - Epoch(val) [15][4600/6282] eta: 0:01:49 time: 0.0769 data_time: 0.0294 memory: 2464 2023/03/11 06:07:23 - mmengine - INFO - Epoch(val) [15][4620/6282] eta: 0:01:48 time: 0.0582 data_time: 0.0096 memory: 2464 2023/03/11 06:07:24 - mmengine - INFO - Epoch(val) [15][4640/6282] eta: 0:01:47 time: 0.0705 data_time: 0.0043 memory: 3023 2023/03/11 06:07:26 - mmengine - INFO - Epoch(val) [15][4660/6282] eta: 0:01:45 time: 0.0662 data_time: 0.0023 memory: 3023 2023/03/11 06:07:27 - mmengine - INFO - Epoch(val) [15][4680/6282] eta: 0:01:44 time: 0.0650 data_time: 0.0027 memory: 3023 2023/03/11 06:07:28 - mmengine - INFO - Epoch(val) [15][4700/6282] eta: 0:01:43 time: 0.0651 data_time: 0.0023 memory: 3023 2023/03/11 06:07:30 - mmengine - INFO - Epoch(val) [15][4720/6282] eta: 0:01:41 time: 0.0641 data_time: 0.0022 memory: 3023 2023/03/11 06:07:31 - mmengine - INFO - Epoch(val) [15][4740/6282] eta: 0:01:40 time: 0.0533 data_time: 0.0022 memory: 2609 2023/03/11 06:07:32 - mmengine - INFO - Epoch(val) [15][4760/6282] eta: 0:01:39 time: 0.0546 data_time: 0.0025 memory: 2609 2023/03/11 06:07:33 - mmengine - INFO - Epoch(val) [15][4780/6282] eta: 0:01:37 time: 0.0543 data_time: 0.0021 memory: 2609 2023/03/11 06:07:34 - mmengine - INFO - Epoch(val) [15][4800/6282] eta: 0:01:36 time: 0.0524 data_time: 0.0023 memory: 2609 2023/03/11 06:07:35 - mmengine - INFO - Epoch(val) [15][4820/6282] eta: 0:01:35 time: 0.0570 data_time: 0.0022 memory: 2934 2023/03/11 06:07:36 - mmengine - INFO - Epoch(val) [15][4840/6282] eta: 0:01:33 time: 0.0642 data_time: 0.0024 memory: 2934 2023/03/11 06:07:38 - mmengine - INFO - Epoch(val) [15][4860/6282] eta: 0:01:32 time: 0.0663 data_time: 0.0025 memory: 2934 2023/03/11 06:07:39 - mmengine - INFO - Epoch(val) [15][4880/6282] eta: 0:01:31 time: 0.0642 data_time: 0.0024 memory: 2934 2023/03/11 06:07:40 - mmengine - INFO - Epoch(val) [15][4900/6282] eta: 0:01:29 time: 0.0652 data_time: 0.0027 memory: 2934 2023/03/11 06:07:42 - mmengine - INFO - Epoch(val) [15][4920/6282] eta: 0:01:28 time: 0.0640 data_time: 0.0026 memory: 2934 2023/03/11 06:07:43 - mmengine - INFO - Epoch(val) [15][4940/6282] eta: 0:01:27 time: 0.0665 data_time: 0.0027 memory: 2934 2023/03/11 06:07:44 - mmengine - INFO - Epoch(val) [15][4960/6282] eta: 0:01:25 time: 0.0646 data_time: 0.0024 memory: 2934 2023/03/11 06:07:46 - mmengine - INFO - Epoch(val) [15][4980/6282] eta: 0:01:24 time: 0.0623 data_time: 0.0024 memory: 2934 2023/03/11 06:07:47 - mmengine - INFO - Epoch(val) [15][5000/6282] eta: 0:01:23 time: 0.0647 data_time: 0.0025 memory: 2934 2023/03/11 06:07:48 - mmengine - INFO - Epoch(val) [15][5020/6282] eta: 0:01:22 time: 0.0562 data_time: 0.0025 memory: 2934 2023/03/11 06:07:49 - mmengine - INFO - Epoch(val) [15][5040/6282] eta: 0:01:20 time: 0.0495 data_time: 0.0022 memory: 2397 2023/03/11 06:07:50 - mmengine - INFO - Epoch(val) [15][5060/6282] eta: 0:01:19 time: 0.0498 data_time: 0.0027 memory: 2397 2023/03/11 06:07:51 - mmengine - INFO - Epoch(val) [15][5080/6282] eta: 0:01:17 time: 0.0666 data_time: 0.0215 memory: 2397 2023/03/11 06:07:53 - mmengine - INFO - Epoch(val) [15][5100/6282] eta: 0:01:16 time: 0.0591 data_time: 0.0119 memory: 2397 2023/03/11 06:07:54 - mmengine - INFO - Epoch(val) [15][5120/6282] eta: 0:01:15 time: 0.0593 data_time: 0.0139 memory: 2397 2023/03/11 06:07:55 - mmengine - INFO - Epoch(val) [15][5140/6282] eta: 0:01:14 time: 0.0577 data_time: 0.0122 memory: 2396 2023/03/11 06:07:56 - mmengine - INFO - Epoch(val) [15][5160/6282] eta: 0:01:12 time: 0.0639 data_time: 0.0183 memory: 2396 2023/03/11 06:07:57 - mmengine - INFO - Epoch(val) [15][5180/6282] eta: 0:01:11 time: 0.0568 data_time: 0.0101 memory: 2396 2023/03/11 06:07:59 - mmengine - INFO - Epoch(val) [15][5200/6282] eta: 0:01:10 time: 0.0646 data_time: 0.0179 memory: 2396 2023/03/11 06:08:00 - mmengine - INFO - Epoch(val) [15][5220/6282] eta: 0:01:08 time: 0.0572 data_time: 0.0122 memory: 2396 2023/03/11 06:08:01 - mmengine - INFO - Epoch(val) [15][5240/6282] eta: 0:01:07 time: 0.0633 data_time: 0.0183 memory: 2396 2023/03/11 06:08:02 - mmengine - INFO - Epoch(val) [15][5260/6282] eta: 0:01:06 time: 0.0706 data_time: 0.0248 memory: 2396 2023/03/11 06:08:04 - mmengine - INFO - Epoch(val) [15][5280/6282] eta: 0:01:04 time: 0.0638 data_time: 0.0172 memory: 2396 2023/03/11 06:08:05 - mmengine - INFO - Epoch(val) [15][5300/6282] eta: 0:01:03 time: 0.0575 data_time: 0.0124 memory: 2396 2023/03/11 06:08:06 - mmengine - INFO - Epoch(val) [15][5320/6282] eta: 0:01:02 time: 0.0684 data_time: 0.0217 memory: 2396 2023/03/11 06:08:07 - mmengine - INFO - Epoch(val) [15][5340/6282] eta: 0:01:00 time: 0.0538 data_time: 0.0075 memory: 2396 2023/03/11 06:08:09 - mmengine - INFO - Epoch(val) [15][5360/6282] eta: 0:00:59 time: 0.0596 data_time: 0.0131 memory: 2396 2023/03/11 06:08:10 - mmengine - INFO - Epoch(val) [15][5380/6282] eta: 0:00:58 time: 0.0561 data_time: 0.0092 memory: 2396 2023/03/11 06:08:11 - mmengine - INFO - Epoch(val) [15][5400/6282] eta: 0:00:57 time: 0.0647 data_time: 0.0177 memory: 2396 2023/03/11 06:08:12 - mmengine - INFO - Epoch(val) [15][5420/6282] eta: 0:00:55 time: 0.0570 data_time: 0.0092 memory: 2396 2023/03/11 06:08:13 - mmengine - INFO - Epoch(val) [15][5440/6282] eta: 0:00:54 time: 0.0597 data_time: 0.0120 memory: 2396 2023/03/11 06:08:14 - mmengine - INFO - Epoch(val) [15][5460/6282] eta: 0:00:53 time: 0.0514 data_time: 0.0057 memory: 2396 2023/03/11 06:08:16 - mmengine - INFO - Epoch(val) [15][5480/6282] eta: 0:00:51 time: 0.0567 data_time: 0.0101 memory: 2396 2023/03/11 06:08:17 - mmengine - INFO - Epoch(val) [15][5500/6282] eta: 0:00:50 time: 0.0582 data_time: 0.0108 memory: 2396 2023/03/11 06:08:18 - mmengine - INFO - Epoch(val) [15][5520/6282] eta: 0:00:49 time: 0.0597 data_time: 0.0091 memory: 2608 2023/03/11 06:08:19 - mmengine - INFO - Epoch(val) [15][5540/6282] eta: 0:00:47 time: 0.0554 data_time: 0.0057 memory: 2608 2023/03/11 06:08:20 - mmengine - INFO - Epoch(val) [15][5560/6282] eta: 0:00:46 time: 0.0559 data_time: 0.0039 memory: 2608 2023/03/11 06:08:21 - mmengine - INFO - Epoch(val) [15][5580/6282] eta: 0:00:45 time: 0.0581 data_time: 0.0071 memory: 2608 2023/03/11 06:08:23 - mmengine - INFO - Epoch(val) [15][5600/6282] eta: 0:00:43 time: 0.0753 data_time: 0.0260 memory: 2608 2023/03/11 06:08:24 - mmengine - INFO - Epoch(val) [15][5620/6282] eta: 0:00:42 time: 0.0554 data_time: 0.0075 memory: 2608 2023/03/11 06:08:25 - mmengine - INFO - Epoch(val) [15][5640/6282] eta: 0:00:41 time: 0.0541 data_time: 0.0088 memory: 2396 2023/03/11 06:08:26 - mmengine - INFO - Epoch(val) [15][5660/6282] eta: 0:00:40 time: 0.0582 data_time: 0.0105 memory: 2396 2023/03/11 06:08:27 - mmengine - INFO - Epoch(val) [15][5680/6282] eta: 0:00:38 time: 0.0560 data_time: 0.0087 memory: 2396 2023/03/11 06:08:29 - mmengine - INFO - Epoch(val) [15][5700/6282] eta: 0:00:37 time: 0.0581 data_time: 0.0103 memory: 2396 2023/03/11 06:08:30 - mmengine - INFO - Epoch(val) [15][5720/6282] eta: 0:00:36 time: 0.0579 data_time: 0.0076 memory: 2686 2023/03/11 06:08:31 - mmengine - INFO - Epoch(val) [15][5740/6282] eta: 0:00:34 time: 0.0574 data_time: 0.0020 memory: 2686 2023/03/11 06:08:32 - mmengine - INFO - Epoch(val) [15][5760/6282] eta: 0:00:33 time: 0.0570 data_time: 0.0020 memory: 2686 2023/03/11 06:08:33 - mmengine - INFO - Epoch(val) [15][5780/6282] eta: 0:00:32 time: 0.0574 data_time: 0.0024 memory: 2686 2023/03/11 06:08:34 - mmengine - INFO - Epoch(val) [15][5800/6282] eta: 0:00:30 time: 0.0573 data_time: 0.0025 memory: 2686 2023/03/11 06:08:35 - mmengine - INFO - Epoch(val) [15][5820/6282] eta: 0:00:29 time: 0.0541 data_time: 0.0019 memory: 2686 2023/03/11 06:08:37 - mmengine - INFO - Epoch(val) [15][5840/6282] eta: 0:00:28 time: 0.0589 data_time: 0.0079 memory: 2608 2023/03/11 06:08:38 - mmengine - INFO - Epoch(val) [15][5860/6282] eta: 0:00:27 time: 0.0548 data_time: 0.0037 memory: 2608 2023/03/11 06:08:39 - mmengine - INFO - Epoch(val) [15][5880/6282] eta: 0:00:25 time: 0.0560 data_time: 0.0066 memory: 2608 2023/03/11 06:08:40 - mmengine - INFO - Epoch(val) [15][5900/6282] eta: 0:00:24 time: 0.0588 data_time: 0.0079 memory: 2608 2023/03/11 06:08:41 - mmengine - INFO - Epoch(val) [15][5920/6282] eta: 0:00:23 time: 0.0559 data_time: 0.0064 memory: 2608 2023/03/11 06:08:43 - mmengine - INFO - Epoch(val) [15][5940/6282] eta: 0:00:21 time: 0.0713 data_time: 0.0248 memory: 2396 2023/03/11 06:08:44 - mmengine - INFO - Epoch(val) [15][5960/6282] eta: 0:00:20 time: 0.0540 data_time: 0.0088 memory: 2396 2023/03/11 06:08:45 - mmengine - INFO - Epoch(val) [15][5980/6282] eta: 0:00:19 time: 0.0523 data_time: 0.0070 memory: 2396 2023/03/11 06:08:46 - mmengine - INFO - Epoch(val) [15][6000/6282] eta: 0:00:18 time: 0.0614 data_time: 0.0040 memory: 2934 2023/03/11 06:08:47 - mmengine - INFO - Epoch(val) [15][6020/6282] eta: 0:00:16 time: 0.0671 data_time: 0.0022 memory: 2934 2023/03/11 06:08:49 - mmengine - INFO - Epoch(val) [15][6040/6282] eta: 0:00:15 time: 0.0628 data_time: 0.0024 memory: 2934 2023/03/11 06:08:50 - mmengine - INFO - Epoch(val) [15][6060/6282] eta: 0:00:14 time: 0.0633 data_time: 0.0028 memory: 2934 2023/03/11 06:08:51 - mmengine - INFO - Epoch(val) [15][6080/6282] eta: 0:00:12 time: 0.0635 data_time: 0.0029 memory: 2934 2023/03/11 06:08:52 - mmengine - INFO - Epoch(val) [15][6100/6282] eta: 0:00:11 time: 0.0640 data_time: 0.0030 memory: 2934 2023/03/11 06:08:54 - mmengine - INFO - Epoch(val) [15][6120/6282] eta: 0:00:10 time: 0.0639 data_time: 0.0030 memory: 2934 2023/03/11 06:08:55 - mmengine - INFO - Epoch(val) [15][6140/6282] eta: 0:00:09 time: 0.0637 data_time: 0.0026 memory: 2934 2023/03/11 06:08:56 - mmengine - INFO - Epoch(val) [15][6160/6282] eta: 0:00:07 time: 0.0629 data_time: 0.0023 memory: 2934 2023/03/11 06:08:58 - mmengine - INFO - Epoch(val) [15][6180/6282] eta: 0:00:06 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/11 06:08:59 - mmengine - INFO - Epoch(val) [15][6200/6282] eta: 0:00:05 time: 0.0621 data_time: 0.0024 memory: 2934 2023/03/11 06:09:00 - mmengine - INFO - Epoch(val) [15][6220/6282] eta: 0:00:03 time: 0.0620 data_time: 0.0023 memory: 2934 2023/03/11 06:09:01 - mmengine - INFO - Epoch(val) [15][6240/6282] eta: 0:00:02 time: 0.0621 data_time: 0.0023 memory: 2934 2023/03/11 06:09:02 - mmengine - INFO - Epoch(val) [15][6260/6282] eta: 0:00:01 time: 0.0615 data_time: 0.0020 memory: 2934 2023/03/11 06:09:04 - mmengine - INFO - Epoch(val) [15][6280/6282] eta: 0:00:00 time: 0.0608 data_time: 0.0018 memory: 2934 2023/03/11 06:11:18 - mmengine - INFO - Epoch(val) [15][6282/6282] mAP/mAP@0.5IOU: 0.3384 2023/03/11 06:11:18 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/hukai/mmaction2/work_dirs/vit-b_16x4/best_mAP/mAP@0.5IOU_epoch_14.pth is removed 2023/03/11 06:11:21 - mmengine - INFO - The best checkpoint with 0.3384 mAP/mAP@0.5IOU at 15 epoch is saved to best_mAP/mAP@0.5IOU_epoch_15.pth. 2023/03/11 06:11:36 - mmengine - INFO - Epoch(train) [16][ 20/4451] lr: 7.4127e-07 eta: 4:05:39 time: 0.7458 data_time: 0.3218 memory: 51970 grad_norm: 0.1320 loss: 0.0295 recall@thr=0.5: 0.4474 prec@thr=0.5: 0.6272 recall@top3: 0.7368 prec@top3: 0.4912 recall@top5: 0.9825 prec@top5: 0.4211 loss_action_cls: 0.0295 2023/03/11 06:11:48 - mmengine - INFO - Epoch(train) [16][ 40/4451] lr: 7.4006e-07 eta: 4:05:26 time: 0.6119 data_time: 0.1895 memory: 51970 grad_norm: 0.1350 loss: 0.0337 recall@thr=0.5: 0.8025 prec@thr=0.5: 0.8556 recall@top3: 0.7611 prec@top3: 0.7901 recall@top5: 0.9228 prec@top5: 0.5926 loss_action_cls: 0.0337 2023/03/11 06:12:01 - mmengine - INFO - Epoch(train) [16][ 60/4451] lr: 7.3885e-07 eta: 4:05:12 time: 0.6304 data_time: 0.2079 memory: 51970 grad_norm: 0.1433 loss: 0.0335 recall@thr=0.5: 0.6152 prec@thr=0.5: 0.6530 recall@top3: 0.6833 prec@top3: 0.7121 recall@top5: 0.8152 prec@top5: 0.5182 loss_action_cls: 0.0335 2023/03/11 06:12:12 - mmengine - INFO - Epoch(train) [16][ 80/4451] lr: 7.3764e-07 eta: 4:04:58 time: 0.5736 data_time: 0.1501 memory: 51970 grad_norm: 0.1382 loss: 0.0263 recall@thr=0.5: 0.6118 prec@thr=0.5: 0.5490 recall@top3: 0.7098 prec@top3: 0.5490 recall@top5: 0.8980 prec@top5: 0.3882 loss_action_cls: 0.0263 2023/03/11 06:12:26 - mmengine - INFO - Epoch(train) [16][ 100/4451] lr: 7.3643e-07 eta: 4:04:45 time: 0.6867 data_time: 0.2272 memory: 51970 grad_norm: 0.1346 loss: 0.0282 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.7619 recall@top3: 0.8929 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.3857 loss_action_cls: 0.0282 2023/03/11 06:12:50 - mmengine - INFO - Epoch(train) [16][ 120/4451] lr: 7.3523e-07 eta: 4:04:36 time: 1.2182 data_time: 0.1327 memory: 51970 grad_norm: 0.1336 loss: 0.0269 recall@thr=0.5: 0.8571 prec@thr=0.5: 0.8040 recall@top3: 0.7897 prec@top3: 0.6984 recall@top5: 0.9127 prec@top5: 0.5143 loss_action_cls: 0.0269 2023/03/11 06:13:04 - mmengine - INFO - Epoch(train) [16][ 140/4451] lr: 7.3402e-07 eta: 4:04:23 time: 0.6982 data_time: 0.2749 memory: 51970 grad_norm: 0.1388 loss: 0.0283 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7862 recall@top3: 0.8986 prec@top3: 0.7101 recall@top5: 0.9348 prec@top5: 0.4522 loss_action_cls: 0.0283 2023/03/11 06:13:18 - mmengine - INFO - Epoch(train) [16][ 160/4451] lr: 7.3281e-07 eta: 4:04:09 time: 0.6914 data_time: 0.1290 memory: 51970 grad_norm: 0.1367 loss: 0.0293 recall@thr=0.5: 0.6833 prec@thr=0.5: 0.7833 recall@top3: 0.8708 prec@top3: 0.7167 recall@top5: 0.9083 prec@top5: 0.4600 loss_action_cls: 0.0293 2023/03/11 06:13:30 - mmengine - INFO - Epoch(train) [16][ 180/4451] lr: 7.3161e-07 eta: 4:03:56 time: 0.6134 data_time: 0.0326 memory: 51970 grad_norm: 0.1422 loss: 0.0307 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8437 recall@top3: 0.9219 prec@top3: 0.7083 recall@top5: 0.9740 prec@top5: 0.4750 loss_action_cls: 0.0307 2023/03/11 06:13:43 - mmengine - INFO - Epoch(train) [16][ 200/4451] lr: 7.3041e-07 eta: 4:03:43 time: 0.6507 data_time: 0.0492 memory: 51970 grad_norm: 0.1318 loss: 0.0291 recall@thr=0.5: 0.8858 prec@thr=0.5: 0.8673 recall@top3: 0.9259 prec@top3: 0.8395 recall@top5: 0.9691 prec@top5: 0.5333 loss_action_cls: 0.0291 2023/03/11 06:13:56 - mmengine - INFO - Epoch(train) [16][ 220/4451] lr: 7.2920e-07 eta: 4:03:29 time: 0.6378 data_time: 0.2124 memory: 51970 grad_norm: 0.1375 loss: 0.0305 recall@thr=0.5: 0.6932 prec@thr=0.5: 0.7348 recall@top3: 0.8492 prec@top3: 0.7273 recall@top5: 0.9098 prec@top5: 0.4818 loss_action_cls: 0.0305 2023/03/11 06:14:05 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 06:14:08 - mmengine - INFO - Epoch(train) [16][ 240/4451] lr: 7.2800e-07 eta: 4:03:15 time: 0.5993 data_time: 0.1705 memory: 51970 grad_norm: 0.1347 loss: 0.0308 recall@thr=0.5: 0.7174 prec@thr=0.5: 0.8623 recall@top3: 0.8478 prec@top3: 0.6812 recall@top5: 0.9565 prec@top5: 0.4696 loss_action_cls: 0.0308 2023/03/11 06:14:23 - mmengine - INFO - Epoch(train) [16][ 260/4451] lr: 7.2680e-07 eta: 4:03:03 time: 0.7332 data_time: 0.3050 memory: 51970 grad_norm: 0.1417 loss: 0.0338 recall@thr=0.5: 0.7894 prec@thr=0.5: 0.8122 recall@top3: 0.7900 prec@top3: 0.7778 recall@top5: 0.9667 prec@top5: 0.6000 loss_action_cls: 0.0338 2023/03/11 06:14:34 - mmengine - INFO - Epoch(train) [16][ 280/4451] lr: 7.2560e-07 eta: 4:02:49 time: 0.5788 data_time: 0.1520 memory: 51970 grad_norm: 0.1384 loss: 0.0265 recall@thr=0.5: 0.8177 prec@thr=0.5: 0.9094 recall@top3: 0.8750 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0265 2023/03/11 06:14:47 - mmengine - INFO - Epoch(train) [16][ 300/4451] lr: 7.2440e-07 eta: 4:02:36 time: 0.6526 data_time: 0.2269 memory: 51970 grad_norm: 0.1398 loss: 0.0312 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7308 recall@top3: 0.9744 prec@top3: 0.6795 recall@top5: 1.0000 prec@top5: 0.4231 loss_action_cls: 0.0312 2023/03/11 06:14:58 - mmengine - INFO - Epoch(train) [16][ 320/4451] lr: 7.2320e-07 eta: 4:02:22 time: 0.5506 data_time: 0.1250 memory: 51970 grad_norm: 0.1402 loss: 0.0301 recall@thr=0.5: 0.6786 prec@thr=0.5: 0.6825 recall@top3: 0.8056 prec@top3: 0.5873 recall@top5: 1.0000 prec@top5: 0.4571 loss_action_cls: 0.0301 2023/03/11 06:15:11 - mmengine - INFO - Epoch(train) [16][ 340/4451] lr: 7.2200e-07 eta: 4:02:08 time: 0.6181 data_time: 0.1938 memory: 51970 grad_norm: 0.1344 loss: 0.0274 recall@thr=0.5: 0.4583 prec@thr=0.5: 0.7500 recall@top3: 0.8438 prec@top3: 0.6875 recall@top5: 0.9271 prec@top5: 0.4625 loss_action_cls: 0.0274 2023/03/11 06:15:23 - mmengine - INFO - Epoch(train) [16][ 360/4451] lr: 7.2080e-07 eta: 4:01:54 time: 0.5906 data_time: 0.1466 memory: 51970 grad_norm: 0.1413 loss: 0.0303 recall@thr=0.5: 0.7788 prec@thr=0.5: 0.8000 recall@top3: 0.8622 prec@top3: 0.7436 recall@top5: 1.0000 prec@top5: 0.5231 loss_action_cls: 0.0303 2023/03/11 06:15:37 - mmengine - INFO - Epoch(train) [16][ 380/4451] lr: 7.1960e-07 eta: 4:01:41 time: 0.6955 data_time: 0.2091 memory: 51970 grad_norm: 0.1389 loss: 0.0343 recall@thr=0.5: 0.6471 prec@thr=0.5: 0.6373 recall@top3: 0.8039 prec@top3: 0.4902 recall@top5: 0.9020 prec@top5: 0.3412 loss_action_cls: 0.0343 2023/03/11 06:15:48 - mmengine - INFO - Epoch(train) [16][ 400/4451] lr: 7.1840e-07 eta: 4:01:27 time: 0.5814 data_time: 0.1048 memory: 51970 grad_norm: 0.1315 loss: 0.0267 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8241 recall@top3: 0.8611 prec@top3: 0.6111 recall@top5: 0.9259 prec@top5: 0.4111 loss_action_cls: 0.0267 2023/03/11 06:16:01 - mmengine - INFO - Epoch(train) [16][ 420/4451] lr: 7.1721e-07 eta: 4:01:14 time: 0.6457 data_time: 0.1332 memory: 51970 grad_norm: 0.1385 loss: 0.0266 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.9048 recall@top3: 0.8690 prec@top3: 0.7460 recall@top5: 0.9524 prec@top5: 0.5048 loss_action_cls: 0.0266 2023/03/11 06:16:13 - mmengine - INFO - Epoch(train) [16][ 440/4451] lr: 7.1601e-07 eta: 4:01:00 time: 0.5819 data_time: 0.0144 memory: 51970 grad_norm: 0.1348 loss: 0.0311 recall@thr=0.5: 0.4750 prec@thr=0.5: 0.5750 recall@top3: 0.6875 prec@top3: 0.4500 recall@top5: 0.7833 prec@top5: 0.3200 loss_action_cls: 0.0311 2023/03/11 06:16:26 - mmengine - INFO - Epoch(train) [16][ 460/4451] lr: 7.1482e-07 eta: 4:00:47 time: 0.6715 data_time: 0.0136 memory: 51970 grad_norm: 0.1411 loss: 0.0313 recall@thr=0.5: 0.5784 prec@thr=0.5: 0.7549 recall@top3: 0.8431 prec@top3: 0.6863 recall@top5: 0.9510 prec@top5: 0.4588 loss_action_cls: 0.0313 2023/03/11 06:16:38 - mmengine - INFO - Epoch(train) [16][ 480/4451] lr: 7.1362e-07 eta: 4:00:33 time: 0.5661 data_time: 0.0114 memory: 51970 grad_norm: 0.1310 loss: 0.0273 recall@thr=0.5: 0.6763 prec@thr=0.5: 0.7404 recall@top3: 0.8590 prec@top3: 0.6795 recall@top5: 0.8686 prec@top5: 0.4154 loss_action_cls: 0.0273 2023/03/11 06:16:51 - mmengine - INFO - Epoch(train) [16][ 500/4451] lr: 7.1243e-07 eta: 4:00:20 time: 0.6912 data_time: 0.0410 memory: 51970 grad_norm: 0.1418 loss: 0.0268 recall@thr=0.5: 0.9750 prec@thr=0.5: 0.9633 recall@top3: 0.9250 prec@top3: 0.8333 recall@top5: 1.0000 prec@top5: 0.5600 loss_action_cls: 0.0268 2023/03/11 06:17:03 - mmengine - INFO - Epoch(train) [16][ 520/4451] lr: 7.1124e-07 eta: 4:00:06 time: 0.5885 data_time: 0.0122 memory: 51970 grad_norm: 0.1338 loss: 0.0321 recall@thr=0.5: 0.4608 prec@thr=0.5: 0.5882 recall@top3: 0.6814 prec@top3: 0.6667 recall@top5: 0.9314 prec@top5: 0.5059 loss_action_cls: 0.0321 2023/03/11 06:17:16 - mmengine - INFO - Epoch(train) [16][ 540/4451] lr: 7.1004e-07 eta: 3:59:53 time: 0.6175 data_time: 0.0360 memory: 51970 grad_norm: 0.1313 loss: 0.0286 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7292 recall@top3: 0.8333 prec@top3: 0.4583 recall@top5: 0.8958 prec@top5: 0.3125 loss_action_cls: 0.0286 2023/03/11 06:17:29 - mmengine - INFO - Epoch(train) [16][ 560/4451] lr: 7.0885e-07 eta: 3:59:40 time: 0.6751 data_time: 0.0960 memory: 51970 grad_norm: 0.1390 loss: 0.0306 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.6471 recall@top3: 0.9020 prec@top3: 0.6667 recall@top5: 0.9412 prec@top5: 0.4235 loss_action_cls: 0.0306 2023/03/11 06:17:43 - mmengine - INFO - Epoch(train) [16][ 580/4451] lr: 7.0766e-07 eta: 3:59:27 time: 0.6918 data_time: 0.1100 memory: 51970 grad_norm: 0.1336 loss: 0.0299 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7833 recall@top3: 0.8958 prec@top3: 0.5500 recall@top5: 0.9250 prec@top5: 0.3500 loss_action_cls: 0.0299 2023/03/11 06:17:55 - mmengine - INFO - Epoch(train) [16][ 600/4451] lr: 7.0647e-07 eta: 3:59:13 time: 0.6194 data_time: 0.0440 memory: 51970 grad_norm: 0.1264 loss: 0.0299 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8437 recall@top3: 0.9062 prec@top3: 0.7083 recall@top5: 0.9635 prec@top5: 0.4562 loss_action_cls: 0.0299 2023/03/11 06:18:07 - mmengine - INFO - Epoch(train) [16][ 620/4451] lr: 7.0528e-07 eta: 3:58:59 time: 0.6004 data_time: 0.1223 memory: 51970 grad_norm: 0.1315 loss: 0.0315 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7368 recall@top3: 0.8947 prec@top3: 0.6140 recall@top5: 0.9868 prec@top5: 0.4105 loss_action_cls: 0.0315 2023/03/11 06:18:21 - mmengine - INFO - Epoch(train) [16][ 640/4451] lr: 7.0409e-07 eta: 3:58:46 time: 0.6721 data_time: 0.0354 memory: 51970 grad_norm: 0.1417 loss: 0.0287 recall@thr=0.5: 0.6310 prec@thr=0.5: 0.8214 recall@top3: 0.7738 prec@top3: 0.8095 recall@top5: 0.9643 prec@top5: 0.5857 loss_action_cls: 0.0287 2023/03/11 06:18:33 - mmengine - INFO - Epoch(train) [16][ 660/4451] lr: 7.0290e-07 eta: 3:58:33 time: 0.6086 data_time: 0.0943 memory: 51970 grad_norm: 0.1410 loss: 0.0303 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.8070 recall@top3: 0.9474 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.4632 loss_action_cls: 0.0303 2023/03/11 06:18:46 - mmengine - INFO - Epoch(train) [16][ 680/4451] lr: 7.0172e-07 eta: 3:58:19 time: 0.6425 data_time: 0.0812 memory: 51970 grad_norm: 0.1321 loss: 0.0265 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.9375 recall@top3: 1.0000 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0265 2023/03/11 06:18:59 - mmengine - INFO - Epoch(train) [16][ 700/4451] lr: 7.0053e-07 eta: 3:58:06 time: 0.6522 data_time: 0.2090 memory: 51970 grad_norm: 0.1338 loss: 0.0274 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.7895 recall@top3: 0.9474 prec@top3: 0.5614 recall@top5: 1.0000 prec@top5: 0.3474 loss_action_cls: 0.0274 2023/03/11 06:19:11 - mmengine - INFO - Epoch(train) [16][ 720/4451] lr: 6.9934e-07 eta: 3:57:52 time: 0.5953 data_time: 0.1461 memory: 51970 grad_norm: 0.1321 loss: 0.0286 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8594 recall@top3: 0.8125 prec@top3: 0.6667 recall@top5: 0.9688 prec@top5: 0.4875 loss_action_cls: 0.0286 2023/03/11 06:19:23 - mmengine - INFO - Epoch(train) [16][ 740/4451] lr: 6.9816e-07 eta: 3:57:38 time: 0.5977 data_time: 0.1029 memory: 51970 grad_norm: 0.1400 loss: 0.0321 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8421 recall@top3: 0.9211 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.4632 loss_action_cls: 0.0321 2023/03/11 06:19:38 - mmengine - INFO - Epoch(train) [16][ 760/4451] lr: 6.9697e-07 eta: 3:57:26 time: 0.7826 data_time: 0.0114 memory: 51970 grad_norm: 0.1306 loss: 0.0285 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.6765 recall@top3: 0.8627 prec@top3: 0.5686 recall@top5: 0.9657 prec@top5: 0.4000 loss_action_cls: 0.0285 2023/03/11 06:19:50 - mmengine - INFO - Epoch(train) [16][ 780/4451] lr: 6.9579e-07 eta: 3:57:12 time: 0.6050 data_time: 0.0130 memory: 51970 grad_norm: 0.1388 loss: 0.0314 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8426 recall@top3: 0.8981 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0314 2023/03/11 06:20:04 - mmengine - INFO - Epoch(train) [16][ 800/4451] lr: 6.9461e-07 eta: 3:56:59 time: 0.6934 data_time: 0.0134 memory: 51970 grad_norm: 0.1375 loss: 0.0339 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7778 recall@top3: 0.8889 prec@top3: 0.6444 recall@top5: 0.8889 prec@top5: 0.3867 loss_action_cls: 0.0339 2023/03/11 06:20:17 - mmengine - INFO - Epoch(train) [16][ 820/4451] lr: 6.9342e-07 eta: 3:56:46 time: 0.6158 data_time: 0.0127 memory: 51970 grad_norm: 0.1354 loss: 0.0329 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7500 recall@top3: 0.7917 prec@top3: 0.5833 recall@top5: 0.8958 prec@top5: 0.3875 loss_action_cls: 0.0329 2023/03/11 06:20:31 - mmengine - INFO - Epoch(train) [16][ 840/4451] lr: 6.9224e-07 eta: 3:56:33 time: 0.7123 data_time: 0.0124 memory: 51970 grad_norm: 0.1364 loss: 0.0303 recall@thr=0.5: 0.6304 prec@thr=0.5: 0.7826 recall@top3: 0.8152 prec@top3: 0.5942 recall@top5: 0.9275 prec@top5: 0.4174 loss_action_cls: 0.0303 2023/03/11 06:20:43 - mmengine - INFO - Epoch(train) [16][ 860/4451] lr: 6.9106e-07 eta: 3:56:19 time: 0.6005 data_time: 0.0140 memory: 51970 grad_norm: 0.1337 loss: 0.0264 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.7833 recall@top3: 0.9333 prec@top3: 0.6667 recall@top5: 0.9500 prec@top5: 0.4100 loss_action_cls: 0.0264 2023/03/11 06:20:57 - mmengine - INFO - Epoch(train) [16][ 880/4451] lr: 6.8988e-07 eta: 3:56:06 time: 0.6819 data_time: 0.0125 memory: 51970 grad_norm: 0.1434 loss: 0.0297 recall@thr=0.5: 0.8375 prec@thr=0.5: 0.9375 recall@top3: 0.9000 prec@top3: 0.6042 recall@top5: 0.9312 prec@top5: 0.3875 loss_action_cls: 0.0297 2023/03/11 06:21:09 - mmengine - INFO - Epoch(train) [16][ 900/4451] lr: 6.8870e-07 eta: 3:55:52 time: 0.6136 data_time: 0.0139 memory: 51970 grad_norm: 0.1381 loss: 0.0314 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.6515 recall@top3: 0.7879 prec@top3: 0.4545 recall@top5: 1.0000 prec@top5: 0.3636 loss_action_cls: 0.0314 2023/03/11 06:21:22 - mmengine - INFO - Epoch(train) [16][ 920/4451] lr: 6.8752e-07 eta: 3:55:39 time: 0.6606 data_time: 0.0224 memory: 51970 grad_norm: 0.1281 loss: 0.0288 recall@thr=0.5: 0.5797 prec@thr=0.5: 0.7826 recall@top3: 0.7935 prec@top3: 0.5362 recall@top5: 0.9275 prec@top5: 0.3913 loss_action_cls: 0.0288 2023/03/11 06:21:35 - mmengine - INFO - Epoch(train) [16][ 940/4451] lr: 6.8634e-07 eta: 3:55:26 time: 0.6602 data_time: 0.0117 memory: 51970 grad_norm: 0.1337 loss: 0.0322 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8333 recall@top3: 0.7743 prec@top3: 0.5972 recall@top5: 0.9549 prec@top5: 0.4583 loss_action_cls: 0.0322 2023/03/11 06:21:47 - mmengine - INFO - Epoch(train) [16][ 960/4451] lr: 6.8516e-07 eta: 3:55:12 time: 0.6022 data_time: 0.0132 memory: 51970 grad_norm: 0.1410 loss: 0.0302 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.8596 recall@top3: 0.9123 prec@top3: 0.7719 recall@top5: 1.0000 prec@top5: 0.5263 loss_action_cls: 0.0302 2023/03/11 06:21:59 - mmengine - INFO - Epoch(train) [16][ 980/4451] lr: 6.8399e-07 eta: 3:54:59 time: 0.5935 data_time: 0.0194 memory: 51970 grad_norm: 0.1304 loss: 0.0291 recall@thr=0.5: 0.7417 prec@thr=0.5: 0.8917 recall@top3: 0.8500 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5700 loss_action_cls: 0.0291 2023/03/11 06:22:12 - mmengine - INFO - Epoch(train) [16][1000/4451] lr: 6.8281e-07 eta: 3:54:45 time: 0.6568 data_time: 0.0130 memory: 51970 grad_norm: 0.1303 loss: 0.0295 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.9123 recall@top3: 0.9561 prec@top3: 0.5789 recall@top5: 1.0000 prec@top5: 0.3684 loss_action_cls: 0.0295 2023/03/11 06:22:25 - mmengine - INFO - Epoch(train) [16][1020/4451] lr: 6.8163e-07 eta: 3:54:32 time: 0.6149 data_time: 0.0564 memory: 51970 grad_norm: 0.1370 loss: 0.0307 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.7667 recall@top3: 1.0000 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.4700 loss_action_cls: 0.0307 2023/03/11 06:22:38 - mmengine - INFO - Epoch(train) [16][1040/4451] lr: 6.8046e-07 eta: 3:54:18 time: 0.6586 data_time: 0.0128 memory: 51970 grad_norm: 0.1353 loss: 0.0333 recall@thr=0.5: 0.7908 prec@thr=0.5: 0.7931 recall@top3: 0.8201 prec@top3: 0.7586 recall@top5: 0.9282 prec@top5: 0.5448 loss_action_cls: 0.0333 2023/03/11 06:22:49 - mmengine - INFO - Epoch(train) [16][1060/4451] lr: 6.7929e-07 eta: 3:54:05 time: 0.5566 data_time: 0.0130 memory: 51970 grad_norm: 0.1293 loss: 0.0303 recall@thr=0.5: 0.7731 prec@thr=0.5: 0.8426 recall@top3: 0.9269 prec@top3: 0.7593 recall@top5: 0.9889 prec@top5: 0.5000 loss_action_cls: 0.0303 2023/03/11 06:23:02 - mmengine - INFO - Epoch(train) [16][1080/4451] lr: 6.7811e-07 eta: 3:53:51 time: 0.6359 data_time: 0.0119 memory: 51970 grad_norm: 0.1317 loss: 0.0292 recall@thr=0.5: 0.7600 prec@thr=0.5: 0.8200 recall@top3: 0.9133 prec@top3: 0.7333 recall@top5: 0.9600 prec@top5: 0.4720 loss_action_cls: 0.0292 2023/03/11 06:23:14 - mmengine - INFO - Epoch(train) [16][1100/4451] lr: 6.7694e-07 eta: 3:53:38 time: 0.6407 data_time: 0.1825 memory: 51970 grad_norm: 0.1385 loss: 0.0282 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.7197 recall@top3: 0.7303 prec@top3: 0.6061 recall@top5: 0.9515 prec@top5: 0.5000 loss_action_cls: 0.0282 2023/03/11 06:23:28 - mmengine - INFO - Epoch(train) [16][1120/4451] lr: 6.7577e-07 eta: 3:53:25 time: 0.6704 data_time: 0.0318 memory: 51970 grad_norm: 0.1372 loss: 0.0314 recall@thr=0.5: 0.7235 prec@thr=0.5: 0.7773 recall@top3: 0.8258 prec@top3: 0.7576 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0314 2023/03/11 06:23:41 - mmengine - INFO - Epoch(train) [16][1140/4451] lr: 6.7460e-07 eta: 3:53:11 time: 0.6483 data_time: 0.0127 memory: 51970 grad_norm: 0.1329 loss: 0.0304 recall@thr=0.5: 0.5862 prec@thr=0.5: 0.5632 recall@top3: 0.8448 prec@top3: 0.5862 recall@top5: 0.9397 prec@top5: 0.4069 loss_action_cls: 0.0304 2023/03/11 06:23:53 - mmengine - INFO - Epoch(train) [16][1160/4451] lr: 6.7343e-07 eta: 3:52:58 time: 0.6209 data_time: 0.0177 memory: 51970 grad_norm: 0.1398 loss: 0.0281 recall@thr=0.5: 0.8452 prec@thr=0.5: 0.8214 recall@top3: 0.9048 prec@top3: 0.6429 recall@top5: 1.0000 prec@top5: 0.4429 loss_action_cls: 0.0281 2023/03/11 06:24:06 - mmengine - INFO - Epoch(train) [16][1180/4451] lr: 6.7226e-07 eta: 3:52:44 time: 0.6342 data_time: 0.0137 memory: 51970 grad_norm: 0.1348 loss: 0.0258 recall@thr=0.5: 0.4167 prec@thr=0.5: 0.5972 recall@top3: 0.7222 prec@top3: 0.5972 recall@top5: 0.8472 prec@top5: 0.4333 loss_action_cls: 0.0258 2023/03/11 06:24:19 - mmengine - INFO - Epoch(train) [16][1200/4451] lr: 6.7109e-07 eta: 3:52:31 time: 0.6378 data_time: 0.1146 memory: 51970 grad_norm: 0.1309 loss: 0.0336 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.7632 recall@top3: 0.8070 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4421 loss_action_cls: 0.0336 2023/03/11 06:24:32 - mmengine - INFO - Epoch(train) [16][1220/4451] lr: 6.6992e-07 eta: 3:52:18 time: 0.6567 data_time: 0.1578 memory: 51970 grad_norm: 0.1440 loss: 0.0250 recall@thr=0.5: 0.6875 prec@thr=0.5: 0.6771 recall@top3: 0.7708 prec@top3: 0.5972 recall@top5: 0.9028 prec@top5: 0.4333 loss_action_cls: 0.0250 2023/03/11 06:24:41 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 06:24:45 - mmengine - INFO - Epoch(train) [16][1240/4451] lr: 6.6875e-07 eta: 3:52:04 time: 0.6595 data_time: 0.0746 memory: 51970 grad_norm: 0.1443 loss: 0.0303 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.7439 recall@top3: 0.8596 prec@top3: 0.7544 recall@top5: 0.9868 prec@top5: 0.5474 loss_action_cls: 0.0303 2023/03/11 06:24:57 - mmengine - INFO - Epoch(train) [16][1260/4451] lr: 6.6758e-07 eta: 3:51:51 time: 0.6205 data_time: 0.1747 memory: 51970 grad_norm: 0.1423 loss: 0.0314 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8205 recall@top3: 0.9487 prec@top3: 0.6923 recall@top5: 0.9744 prec@top5: 0.4308 loss_action_cls: 0.0314 2023/03/11 06:25:09 - mmengine - INFO - Epoch(train) [16][1280/4451] lr: 6.6642e-07 eta: 3:51:37 time: 0.5913 data_time: 0.1478 memory: 51970 grad_norm: 0.1426 loss: 0.0281 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.7266 recall@top3: 0.8047 prec@top3: 0.7812 recall@top5: 0.9219 prec@top5: 0.5500 loss_action_cls: 0.0281 2023/03/11 06:25:22 - mmengine - INFO - Epoch(train) [16][1300/4451] lr: 6.6525e-07 eta: 3:51:24 time: 0.6458 data_time: 0.1083 memory: 51970 grad_norm: 0.1350 loss: 0.0290 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8854 recall@top3: 0.9583 prec@top3: 0.7708 recall@top5: 0.9792 prec@top5: 0.4750 loss_action_cls: 0.0290 2023/03/11 06:25:35 - mmengine - INFO - Epoch(train) [16][1320/4451] lr: 6.6409e-07 eta: 3:51:10 time: 0.6487 data_time: 0.0962 memory: 51970 grad_norm: 0.1375 loss: 0.0315 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8311 recall@top3: 0.8523 prec@top3: 0.7424 recall@top5: 0.9773 prec@top5: 0.5364 loss_action_cls: 0.0315 2023/03/11 06:25:47 - mmengine - INFO - Epoch(train) [16][1340/4451] lr: 6.6292e-07 eta: 3:50:57 time: 0.6057 data_time: 0.0471 memory: 51970 grad_norm: 0.1316 loss: 0.0299 recall@thr=0.5: 0.7630 prec@thr=0.5: 0.7901 recall@top3: 0.8222 prec@top3: 0.5926 recall@top5: 0.9630 prec@top5: 0.4370 loss_action_cls: 0.0299 2023/03/11 06:26:00 - mmengine - INFO - Epoch(train) [16][1360/4451] lr: 6.6176e-07 eta: 3:50:43 time: 0.6317 data_time: 0.0465 memory: 51970 grad_norm: 0.1318 loss: 0.0292 recall@thr=0.5: 0.5682 prec@thr=0.5: 0.6288 recall@top3: 0.8788 prec@top3: 0.5758 recall@top5: 0.9394 prec@top5: 0.3818 loss_action_cls: 0.0292 2023/03/11 06:26:11 - mmengine - INFO - Epoch(train) [16][1380/4451] lr: 6.6060e-07 eta: 3:50:29 time: 0.5552 data_time: 0.0642 memory: 51970 grad_norm: 0.1302 loss: 0.0284 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.9231 recall@top3: 0.8846 prec@top3: 0.5641 recall@top5: 1.0000 prec@top5: 0.3846 loss_action_cls: 0.0284 2023/03/11 06:26:22 - mmengine - INFO - Epoch(train) [16][1400/4451] lr: 6.5943e-07 eta: 3:50:16 time: 0.5548 data_time: 0.0569 memory: 51970 grad_norm: 0.1323 loss: 0.0271 recall@thr=0.5: 0.7179 prec@thr=0.5: 0.7564 recall@top3: 0.8077 prec@top3: 0.6154 recall@top5: 0.9231 prec@top5: 0.4308 loss_action_cls: 0.0271 2023/03/11 06:26:35 - mmengine - INFO - Epoch(train) [16][1420/4451] lr: 6.5827e-07 eta: 3:50:02 time: 0.6554 data_time: 0.2031 memory: 51970 grad_norm: 0.1352 loss: 0.0327 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7197 recall@top3: 0.8295 prec@top3: 0.6212 recall@top5: 0.9394 prec@top5: 0.4455 loss_action_cls: 0.0327 2023/03/11 06:26:48 - mmengine - INFO - Epoch(train) [16][1440/4451] lr: 6.5711e-07 eta: 3:49:49 time: 0.6501 data_time: 0.1367 memory: 51970 grad_norm: 0.1359 loss: 0.0293 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8775 recall@top3: 0.9118 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5176 loss_action_cls: 0.0293 2023/03/11 06:27:01 - mmengine - INFO - Epoch(train) [16][1460/4451] lr: 6.5595e-07 eta: 3:49:36 time: 0.6383 data_time: 0.0228 memory: 51970 grad_norm: 0.1314 loss: 0.0297 recall@thr=0.5: 0.7118 prec@thr=0.5: 0.7843 recall@top3: 0.8833 prec@top3: 0.5686 recall@top5: 0.9412 prec@top5: 0.3882 loss_action_cls: 0.0297 2023/03/11 06:27:15 - mmengine - INFO - Epoch(train) [16][1480/4451] lr: 6.5479e-07 eta: 3:49:23 time: 0.7033 data_time: 0.0126 memory: 51970 grad_norm: 0.1401 loss: 0.0287 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8246 recall@top3: 0.8684 prec@top3: 0.7719 recall@top5: 0.9474 prec@top5: 0.5158 loss_action_cls: 0.0287 2023/03/11 06:27:27 - mmengine - INFO - Epoch(train) [16][1500/4451] lr: 6.5364e-07 eta: 3:49:09 time: 0.5990 data_time: 0.0142 memory: 51970 grad_norm: 0.1334 loss: 0.0277 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.9074 recall@top3: 0.9444 prec@top3: 0.6111 recall@top5: 1.0000 prec@top5: 0.3889 loss_action_cls: 0.0277 2023/03/11 06:27:40 - mmengine - INFO - Epoch(train) [16][1520/4451] lr: 6.5248e-07 eta: 3:48:55 time: 0.6333 data_time: 0.0117 memory: 51970 grad_norm: 0.1346 loss: 0.0300 recall@thr=0.5: 0.6520 prec@thr=0.5: 0.8108 recall@top3: 0.6765 prec@top3: 0.7059 recall@top5: 0.8922 prec@top5: 0.5412 loss_action_cls: 0.0300 2023/03/11 06:27:52 - mmengine - INFO - Epoch(train) [16][1540/4451] lr: 6.5132e-07 eta: 3:48:42 time: 0.6183 data_time: 0.0134 memory: 51970 grad_norm: 0.1347 loss: 0.0301 recall@thr=0.5: 0.6034 prec@thr=0.5: 0.6494 recall@top3: 0.7989 prec@top3: 0.5977 recall@top5: 0.9138 prec@top5: 0.4138 loss_action_cls: 0.0301 2023/03/11 06:28:06 - mmengine - INFO - Epoch(train) [16][1560/4451] lr: 6.5016e-07 eta: 3:48:29 time: 0.6722 data_time: 0.0122 memory: 51970 grad_norm: 0.1412 loss: 0.0273 recall@thr=0.5: 0.6270 prec@thr=0.5: 0.7857 recall@top3: 0.8095 prec@top3: 0.6349 recall@top5: 0.9603 prec@top5: 0.4381 loss_action_cls: 0.0273 2023/03/11 06:28:18 - mmengine - INFO - Epoch(train) [16][1580/4451] lr: 6.4901e-07 eta: 3:48:15 time: 0.5950 data_time: 0.0142 memory: 51970 grad_norm: 0.1330 loss: 0.0281 recall@thr=0.5: 0.8728 prec@thr=0.5: 0.9649 recall@top3: 0.9167 prec@top3: 0.7719 recall@top5: 0.9737 prec@top5: 0.5053 loss_action_cls: 0.0281 2023/03/11 06:28:30 - mmengine - INFO - Epoch(train) [16][1600/4451] lr: 6.4785e-07 eta: 3:48:02 time: 0.6466 data_time: 0.0123 memory: 51970 grad_norm: 0.1364 loss: 0.0293 recall@thr=0.5: 0.7444 prec@thr=0.5: 0.8000 recall@top3: 0.8333 prec@top3: 0.6222 recall@top5: 0.9778 prec@top5: 0.4667 loss_action_cls: 0.0293 2023/03/11 06:28:43 - mmengine - INFO - Epoch(train) [16][1620/4451] lr: 6.4670e-07 eta: 3:47:48 time: 0.6033 data_time: 0.0139 memory: 51970 grad_norm: 0.1413 loss: 0.0300 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.6818 recall@top3: 0.8182 prec@top3: 0.5606 recall@top5: 0.8712 prec@top5: 0.3727 loss_action_cls: 0.0300 2023/03/11 06:28:55 - mmengine - INFO - Epoch(train) [16][1640/4451] lr: 6.4555e-07 eta: 3:47:35 time: 0.6243 data_time: 0.1109 memory: 51970 grad_norm: 0.1348 loss: 0.0283 recall@thr=0.5: 0.6067 prec@thr=0.5: 0.6933 recall@top3: 0.8267 prec@top3: 0.7067 recall@top5: 0.9467 prec@top5: 0.5120 loss_action_cls: 0.0283 2023/03/11 06:29:08 - mmengine - INFO - Epoch(train) [16][1660/4451] lr: 6.4440e-07 eta: 3:47:21 time: 0.6330 data_time: 0.0287 memory: 51970 grad_norm: 0.1379 loss: 0.0276 recall@thr=0.5: 0.7817 prec@thr=0.5: 0.8175 recall@top3: 0.8373 prec@top3: 0.6667 recall@top5: 0.9524 prec@top5: 0.4762 loss_action_cls: 0.0276 2023/03/11 06:29:19 - mmengine - INFO - Epoch(train) [16][1680/4451] lr: 6.4324e-07 eta: 3:47:07 time: 0.5703 data_time: 0.0123 memory: 51970 grad_norm: 0.1411 loss: 0.0290 recall@thr=0.5: 0.8239 prec@thr=0.5: 0.9239 recall@top3: 0.8457 prec@top3: 0.7826 recall@top5: 0.9891 prec@top5: 0.5652 loss_action_cls: 0.0290 2023/03/11 06:29:32 - mmengine - INFO - Epoch(train) [16][1700/4451] lr: 6.4209e-07 eta: 3:46:54 time: 0.6430 data_time: 0.0141 memory: 51970 grad_norm: 0.1414 loss: 0.0289 recall@thr=0.5: 0.8182 prec@thr=0.5: 0.8561 recall@top3: 0.9167 prec@top3: 0.7273 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0289 2023/03/11 06:29:45 - mmengine - INFO - Epoch(train) [16][1720/4451] lr: 6.4094e-07 eta: 3:46:41 time: 0.6477 data_time: 0.0121 memory: 51970 grad_norm: 0.1375 loss: 0.0308 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.9132 recall@top3: 0.7826 prec@top3: 0.7361 recall@top5: 0.9792 prec@top5: 0.5833 loss_action_cls: 0.0308 2023/03/11 06:29:59 - mmengine - INFO - Epoch(train) [16][1740/4451] lr: 6.3979e-07 eta: 3:46:28 time: 0.6831 data_time: 0.0133 memory: 51970 grad_norm: 0.1355 loss: 0.0281 recall@thr=0.5: 0.8158 prec@thr=0.5: 0.8421 recall@top3: 0.8158 prec@top3: 0.6842 recall@top5: 0.9474 prec@top5: 0.4947 loss_action_cls: 0.0281 2023/03/11 06:30:09 - mmengine - INFO - Epoch(train) [16][1760/4451] lr: 6.3865e-07 eta: 3:46:14 time: 0.5344 data_time: 0.0132 memory: 51970 grad_norm: 0.1333 loss: 0.0305 recall@thr=0.5: 0.7079 prec@thr=0.5: 0.8095 recall@top3: 0.7675 prec@top3: 0.7302 recall@top5: 0.9056 prec@top5: 0.5333 loss_action_cls: 0.0305 2023/03/11 06:30:23 - mmengine - INFO - Epoch(train) [16][1780/4451] lr: 6.3750e-07 eta: 3:46:00 time: 0.6637 data_time: 0.0298 memory: 51970 grad_norm: 0.1388 loss: 0.0275 recall@thr=0.5: 0.7759 prec@thr=0.5: 0.8046 recall@top3: 0.8793 prec@top3: 0.6092 recall@top5: 0.9540 prec@top5: 0.4000 loss_action_cls: 0.0275 2023/03/11 06:30:35 - mmengine - INFO - Epoch(train) [16][1800/4451] lr: 6.3635e-07 eta: 3:45:47 time: 0.6210 data_time: 0.0719 memory: 51970 grad_norm: 0.1397 loss: 0.0289 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.6244 recall@top3: 0.7500 prec@top3: 0.5385 recall@top5: 0.9487 prec@top5: 0.3923 loss_action_cls: 0.0289 2023/03/11 06:30:48 - mmengine - INFO - Epoch(train) [16][1820/4451] lr: 6.3520e-07 eta: 3:45:34 time: 0.6463 data_time: 0.0990 memory: 51970 grad_norm: 0.1441 loss: 0.0295 recall@thr=0.5: 0.6458 prec@thr=0.5: 0.7202 recall@top3: 0.8363 prec@top3: 0.6905 recall@top5: 0.9167 prec@top5: 0.4714 loss_action_cls: 0.0295 2023/03/11 06:31:00 - mmengine - INFO - Epoch(train) [16][1840/4451] lr: 6.3406e-07 eta: 3:45:20 time: 0.6125 data_time: 0.0560 memory: 51970 grad_norm: 0.1356 loss: 0.0295 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8083 recall@top3: 0.8917 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4600 loss_action_cls: 0.0295 2023/03/11 06:31:14 - mmengine - INFO - Epoch(train) [16][1860/4451] lr: 6.3291e-07 eta: 3:45:07 time: 0.6684 data_time: 0.0146 memory: 51970 grad_norm: 0.1345 loss: 0.0290 recall@thr=0.5: 0.8413 prec@thr=0.5: 0.8492 recall@top3: 0.9286 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4190 loss_action_cls: 0.0290 2023/03/11 06:31:25 - mmengine - INFO - Epoch(train) [16][1880/4451] lr: 6.3177e-07 eta: 3:44:53 time: 0.5672 data_time: 0.0114 memory: 51970 grad_norm: 0.1352 loss: 0.0267 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.6136 recall@top3: 0.8636 prec@top3: 0.5303 recall@top5: 0.9773 prec@top5: 0.3455 loss_action_cls: 0.0267 2023/03/11 06:31:37 - mmengine - INFO - Epoch(train) [16][1900/4451] lr: 6.3063e-07 eta: 3:44:40 time: 0.6287 data_time: 0.0136 memory: 51970 grad_norm: 0.1453 loss: 0.0358 recall@thr=0.5: 0.6159 prec@thr=0.5: 0.6884 recall@top3: 0.8188 prec@top3: 0.6522 recall@top5: 0.9167 prec@top5: 0.4435 loss_action_cls: 0.0358 2023/03/11 06:31:49 - mmengine - INFO - Epoch(train) [16][1920/4451] lr: 6.2948e-07 eta: 3:44:26 time: 0.5780 data_time: 0.0560 memory: 51970 grad_norm: 0.1400 loss: 0.0281 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.8158 recall@top3: 0.7895 prec@top3: 0.6316 recall@top5: 0.9474 prec@top5: 0.4632 loss_action_cls: 0.0281 2023/03/11 06:32:03 - mmengine - INFO - Epoch(train) [16][1940/4451] lr: 6.2834e-07 eta: 3:44:13 time: 0.6890 data_time: 0.0644 memory: 51970 grad_norm: 0.1458 loss: 0.0304 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8056 recall@top3: 0.8083 prec@top3: 0.6556 recall@top5: 0.8861 prec@top5: 0.4467 loss_action_cls: 0.0304 2023/03/11 06:32:14 - mmengine - INFO - Epoch(train) [16][1960/4451] lr: 6.2720e-07 eta: 3:43:59 time: 0.5788 data_time: 0.1463 memory: 51970 grad_norm: 0.1383 loss: 0.0301 recall@thr=0.5: 0.9792 prec@thr=0.5: 0.9635 recall@top3: 0.8979 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0301 2023/03/11 06:32:27 - mmengine - INFO - Epoch(train) [16][1980/4451] lr: 6.2606e-07 eta: 3:43:45 time: 0.6191 data_time: 0.1752 memory: 51970 grad_norm: 0.1348 loss: 0.0299 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.9211 recall@top3: 0.8684 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.4211 loss_action_cls: 0.0299 2023/03/11 06:32:39 - mmengine - INFO - Epoch(train) [16][2000/4451] lr: 6.2492e-07 eta: 3:43:32 time: 0.6013 data_time: 0.1167 memory: 51970 grad_norm: 0.1362 loss: 0.0294 recall@thr=0.5: 0.7980 prec@thr=0.5: 0.8533 recall@top3: 0.8847 prec@top3: 0.8000 recall@top5: 0.9440 prec@top5: 0.5280 loss_action_cls: 0.0294 2023/03/11 06:32:50 - mmengine - INFO - Epoch(train) [16][2020/4451] lr: 6.2378e-07 eta: 3:43:18 time: 0.5834 data_time: 0.0130 memory: 51970 grad_norm: 0.1313 loss: 0.0327 recall@thr=0.5: 0.6288 prec@thr=0.5: 0.7462 recall@top3: 0.7424 prec@top3: 0.5758 recall@top5: 0.9242 prec@top5: 0.4182 loss_action_cls: 0.0327 2023/03/11 06:33:03 - mmengine - INFO - Epoch(train) [16][2040/4451] lr: 6.2264e-07 eta: 3:43:05 time: 0.6294 data_time: 0.0350 memory: 51970 grad_norm: 0.1370 loss: 0.0302 recall@thr=0.5: 0.6856 prec@thr=0.5: 0.8333 recall@top3: 0.7576 prec@top3: 0.6515 recall@top5: 0.8826 prec@top5: 0.4818 loss_action_cls: 0.0302 2023/03/11 06:33:17 - mmengine - INFO - Epoch(train) [16][2060/4451] lr: 6.2151e-07 eta: 3:42:52 time: 0.6855 data_time: 0.0498 memory: 51970 grad_norm: 0.1321 loss: 0.0258 recall@thr=0.5: 0.8542 prec@thr=0.5: 0.9167 recall@top3: 0.9514 prec@top3: 0.5833 recall@top5: 0.9861 prec@top5: 0.3667 loss_action_cls: 0.0258 2023/03/11 06:33:29 - mmengine - INFO - Epoch(train) [16][2080/4451] lr: 6.2037e-07 eta: 3:42:38 time: 0.5922 data_time: 0.0562 memory: 51970 grad_norm: 0.1302 loss: 0.0286 recall@thr=0.5: 0.8939 prec@thr=0.5: 0.8636 recall@top3: 0.9735 prec@top3: 0.7727 recall@top5: 1.0000 prec@top5: 0.4818 loss_action_cls: 0.0286 2023/03/11 06:33:43 - mmengine - INFO - Epoch(train) [16][2100/4451] lr: 6.1923e-07 eta: 3:42:25 time: 0.6968 data_time: 0.2378 memory: 51970 grad_norm: 0.1440 loss: 0.0295 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7742 recall@top3: 0.7652 prec@top3: 0.7879 recall@top5: 0.9886 prec@top5: 0.6091 loss_action_cls: 0.0295 2023/03/11 06:33:55 - mmengine - INFO - Epoch(train) [16][2120/4451] lr: 6.1810e-07 eta: 3:42:11 time: 0.6026 data_time: 0.0131 memory: 51970 grad_norm: 0.1330 loss: 0.0272 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8947 recall@top3: 1.0000 prec@top3: 0.6491 recall@top5: 1.0000 prec@top5: 0.3895 loss_action_cls: 0.0272 2023/03/11 06:34:08 - mmengine - INFO - Epoch(train) [16][2140/4451] lr: 6.1696e-07 eta: 3:41:58 time: 0.6550 data_time: 0.0965 memory: 51970 grad_norm: 0.1301 loss: 0.0284 recall@thr=0.5: 0.5786 prec@thr=0.5: 0.6508 recall@top3: 0.7278 prec@top3: 0.5397 recall@top5: 0.9135 prec@top5: 0.4095 loss_action_cls: 0.0284 2023/03/11 06:34:21 - mmengine - INFO - Epoch(train) [16][2160/4451] lr: 6.1583e-07 eta: 3:41:45 time: 0.6414 data_time: 0.0549 memory: 51970 grad_norm: 0.1314 loss: 0.0283 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7708 recall@top3: 0.8646 prec@top3: 0.6458 recall@top5: 0.9375 prec@top5: 0.4375 loss_action_cls: 0.0283 2023/03/11 06:34:33 - mmengine - INFO - Epoch(train) [16][2180/4451] lr: 6.1470e-07 eta: 3:41:31 time: 0.6444 data_time: 0.1943 memory: 51970 grad_norm: 0.1336 loss: 0.0293 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8182 recall@top3: 0.9318 prec@top3: 0.5606 recall@top5: 1.0000 prec@top5: 0.3636 loss_action_cls: 0.0293 2023/03/11 06:34:45 - mmengine - INFO - Epoch(train) [16][2200/4451] lr: 6.1357e-07 eta: 3:41:18 time: 0.5761 data_time: 0.1200 memory: 51970 grad_norm: 0.1374 loss: 0.0324 recall@thr=0.5: 0.7061 prec@thr=0.5: 0.7895 recall@top3: 0.7281 prec@top3: 0.5439 recall@top5: 0.9035 prec@top5: 0.4211 loss_action_cls: 0.0324 2023/03/11 06:34:57 - mmengine - INFO - Epoch(train) [16][2220/4451] lr: 6.1244e-07 eta: 3:41:04 time: 0.6071 data_time: 0.1786 memory: 51970 grad_norm: 0.1381 loss: 0.0345 recall@thr=0.5: 0.7611 prec@thr=0.5: 0.9074 recall@top3: 0.7889 prec@top3: 0.5741 recall@top5: 0.9630 prec@top5: 0.4667 loss_action_cls: 0.0345 2023/03/11 06:35:06 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 06:35:09 - mmengine - INFO - Epoch(train) [16][2240/4451] lr: 6.1131e-07 eta: 3:40:50 time: 0.5702 data_time: 0.1407 memory: 51970 grad_norm: 0.1392 loss: 0.0315 recall@thr=0.5: 0.6863 prec@thr=0.5: 0.5686 recall@top3: 0.8431 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4471 loss_action_cls: 0.0315 2023/03/11 06:35:22 - mmengine - INFO - Epoch(train) [16][2260/4451] lr: 6.1018e-07 eta: 3:40:37 time: 0.6677 data_time: 0.2073 memory: 51970 grad_norm: 0.1368 loss: 0.0291 recall@thr=0.5: 0.9129 prec@thr=0.5: 0.8727 recall@top3: 0.9280 prec@top3: 0.8636 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0291 2023/03/11 06:35:34 - mmengine - INFO - Epoch(train) [16][2280/4451] lr: 6.0905e-07 eta: 3:40:24 time: 0.6293 data_time: 0.1959 memory: 51970 grad_norm: 0.1385 loss: 0.0300 recall@thr=0.5: 0.6759 prec@thr=0.5: 0.8241 recall@top3: 0.7824 prec@top3: 0.6481 recall@top5: 1.0000 prec@top5: 0.5222 loss_action_cls: 0.0300 2023/03/11 06:35:49 - mmengine - INFO - Epoch(train) [16][2300/4451] lr: 6.0792e-07 eta: 3:40:11 time: 0.7245 data_time: 0.2962 memory: 51970 grad_norm: 0.1400 loss: 0.0283 recall@thr=0.5: 0.7679 prec@thr=0.5: 0.7827 recall@top3: 0.8571 prec@top3: 0.6429 recall@top5: 0.9345 prec@top5: 0.4357 loss_action_cls: 0.0283 2023/03/11 06:36:01 - mmengine - INFO - Epoch(train) [16][2320/4451] lr: 6.0679e-07 eta: 3:39:57 time: 0.6088 data_time: 0.1793 memory: 51970 grad_norm: 0.1377 loss: 0.0280 recall@thr=0.5: 0.6053 prec@thr=0.5: 0.6579 recall@top3: 0.9167 prec@top3: 0.6842 recall@top5: 0.9342 prec@top5: 0.4211 loss_action_cls: 0.0280 2023/03/11 06:36:14 - mmengine - INFO - Epoch(train) [16][2340/4451] lr: 6.0567e-07 eta: 3:39:44 time: 0.6530 data_time: 0.2263 memory: 51970 grad_norm: 0.1329 loss: 0.0301 recall@thr=0.5: 0.5705 prec@thr=0.5: 0.6250 recall@top3: 0.7436 prec@top3: 0.6026 recall@top5: 0.9423 prec@top5: 0.4308 loss_action_cls: 0.0301 2023/03/11 06:36:25 - mmengine - INFO - Epoch(train) [16][2360/4451] lr: 6.0454e-07 eta: 3:39:30 time: 0.5265 data_time: 0.1011 memory: 51970 grad_norm: 0.1362 loss: 0.0295 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.9091 recall@top3: 0.9545 prec@top3: 0.7879 recall@top5: 0.9773 prec@top5: 0.4909 loss_action_cls: 0.0295 2023/03/11 06:36:38 - mmengine - INFO - Epoch(train) [16][2380/4451] lr: 6.0341e-07 eta: 3:39:17 time: 0.6798 data_time: 0.2533 memory: 51970 grad_norm: 0.1331 loss: 0.0266 recall@thr=0.5: 0.8462 prec@thr=0.5: 0.8462 recall@top3: 0.9231 prec@top3: 0.5897 recall@top5: 0.9615 prec@top5: 0.3692 loss_action_cls: 0.0266 2023/03/11 06:36:51 - mmengine - INFO - Epoch(train) [16][2400/4451] lr: 6.0229e-07 eta: 3:39:03 time: 0.6445 data_time: 0.2170 memory: 51970 grad_norm: 0.1425 loss: 0.0309 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.8889 recall@top3: 0.8160 prec@top3: 0.8333 recall@top5: 0.9583 prec@top5: 0.6000 loss_action_cls: 0.0309 2023/03/11 06:37:33 - mmengine - INFO - Epoch(train) [16][2420/4451] lr: 6.0117e-07 eta: 3:38:58 time: 2.0774 data_time: 1.6506 memory: 51970 grad_norm: 0.1374 loss: 0.0305 recall@thr=0.5: 0.7250 prec@thr=0.5: 0.6633 recall@top3: 0.8750 prec@top3: 0.7167 recall@top5: 0.9500 prec@top5: 0.4800 loss_action_cls: 0.0305 2023/03/11 06:38:07 - mmengine - INFO - Epoch(train) [16][2440/4451] lr: 6.0004e-07 eta: 3:38:51 time: 1.7216 data_time: 1.2965 memory: 51970 grad_norm: 0.1413 loss: 0.0316 recall@thr=0.5: 0.8438 prec@thr=0.5: 0.8542 recall@top3: 0.8854 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0316 2023/03/11 06:38:47 - mmengine - INFO - Epoch(train) [16][2460/4451] lr: 5.9892e-07 eta: 3:38:45 time: 1.9679 data_time: 1.5394 memory: 51970 grad_norm: 0.1391 loss: 0.0271 recall@thr=0.5: 0.8485 prec@thr=0.5: 0.9773 recall@top3: 0.9394 prec@top3: 0.8788 recall@top5: 1.0000 prec@top5: 0.5727 loss_action_cls: 0.0271 2023/03/11 06:39:18 - mmengine - INFO - Epoch(train) [16][2480/4451] lr: 5.9780e-07 eta: 3:38:37 time: 1.5911 data_time: 1.1249 memory: 51970 grad_norm: 0.1342 loss: 0.0292 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.7611 recall@top3: 0.8403 prec@top3: 0.7361 recall@top5: 0.9479 prec@top5: 0.5083 loss_action_cls: 0.0292 2023/03/11 06:40:02 - mmengine - INFO - Epoch(train) [16][2500/4451] lr: 5.9668e-07 eta: 3:38:33 time: 2.1984 data_time: 1.7395 memory: 51970 grad_norm: 0.1366 loss: 0.0307 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.8125 recall@top3: 0.8458 prec@top3: 0.7500 recall@top5: 0.9333 prec@top5: 0.5125 loss_action_cls: 0.0307 2023/03/11 06:40:36 - mmengine - INFO - Epoch(train) [16][2520/4451] lr: 5.9556e-07 eta: 3:38:25 time: 1.6814 data_time: 0.9058 memory: 51970 grad_norm: 0.1396 loss: 0.0287 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8574 recall@top3: 0.8935 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4778 loss_action_cls: 0.0287 2023/03/11 06:41:21 - mmengine - INFO - Epoch(train) [16][2540/4451] lr: 5.9444e-07 eta: 3:38:21 time: 2.2420 data_time: 1.3007 memory: 51970 grad_norm: 0.1373 loss: 0.0324 recall@thr=0.5: 0.4815 prec@thr=0.5: 0.6667 recall@top3: 0.7870 prec@top3: 0.5000 recall@top5: 0.8889 prec@top5: 0.3333 loss_action_cls: 0.0324 2023/03/11 06:41:52 - mmengine - INFO - Epoch(train) [16][2560/4451] lr: 5.9333e-07 eta: 3:38:13 time: 1.5729 data_time: 0.4416 memory: 51970 grad_norm: 0.1363 loss: 0.0278 recall@thr=0.5: 0.8507 prec@thr=0.5: 0.8933 recall@top3: 0.8880 prec@top3: 0.7600 recall@top5: 0.9733 prec@top5: 0.5200 loss_action_cls: 0.0278 2023/03/11 06:42:35 - mmengine - INFO - Epoch(train) [16][2580/4451] lr: 5.9221e-07 eta: 3:38:08 time: 2.1202 data_time: 0.7746 memory: 51970 grad_norm: 0.1330 loss: 0.0276 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.7381 recall@top3: 0.9167 prec@top3: 0.5833 recall@top5: 0.9286 prec@top5: 0.3571 loss_action_cls: 0.0276 2023/03/11 06:43:08 - mmengine - INFO - Epoch(train) [16][2600/4451] lr: 5.9109e-07 eta: 3:38:00 time: 1.6746 data_time: 0.4513 memory: 51970 grad_norm: 0.1329 loss: 0.0333 recall@thr=0.5: 0.8034 prec@thr=0.5: 0.8563 recall@top3: 0.8914 prec@top3: 0.7126 recall@top5: 1.0000 prec@top5: 0.5103 loss_action_cls: 0.0333 2023/03/11 06:43:53 - mmengine - INFO - Epoch(train) [16][2620/4451] lr: 5.8998e-07 eta: 3:37:56 time: 2.2255 data_time: 0.6271 memory: 51970 grad_norm: 0.1336 loss: 0.0316 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8437 recall@top3: 0.8281 prec@top3: 0.7083 recall@top5: 0.9010 prec@top5: 0.4687 loss_action_cls: 0.0316 2023/03/11 06:44:26 - mmengine - INFO - Epoch(train) [16][2640/4451] lr: 5.8886e-07 eta: 3:37:48 time: 1.6834 data_time: 0.0943 memory: 51970 grad_norm: 0.1431 loss: 0.0271 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9250 recall@top3: 0.9250 prec@top3: 0.7333 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0271 2023/03/11 06:45:05 - mmengine - INFO - Epoch(train) [16][2660/4451] lr: 5.8775e-07 eta: 3:37:42 time: 1.9291 data_time: 0.0134 memory: 51970 grad_norm: 0.1331 loss: 0.0303 recall@thr=0.5: 0.9298 prec@thr=0.5: 0.8947 recall@top3: 0.9561 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.4632 loss_action_cls: 0.0303 2023/03/11 06:45:44 - mmengine - INFO - Epoch(train) [16][2680/4451] lr: 5.8664e-07 eta: 3:37:36 time: 1.9288 data_time: 0.4483 memory: 51970 grad_norm: 0.1382 loss: 0.0333 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8551 recall@top3: 0.8333 prec@top3: 0.8406 recall@top5: 0.9638 prec@top5: 0.6174 loss_action_cls: 0.0333 2023/03/11 06:46:21 - mmengine - INFO - Epoch(train) [16][2700/4451] lr: 5.8552e-07 eta: 3:37:29 time: 1.8673 data_time: 0.4524 memory: 51970 grad_norm: 0.1413 loss: 0.0301 recall@thr=0.5: 0.8208 prec@thr=0.5: 0.9250 recall@top3: 0.8542 prec@top3: 0.7833 recall@top5: 0.9583 prec@top5: 0.5400 loss_action_cls: 0.0301 2023/03/11 06:47:04 - mmengine - INFO - Epoch(train) [16][2720/4451] lr: 5.8441e-07 eta: 3:37:24 time: 2.1334 data_time: 1.6653 memory: 51970 grad_norm: 0.1376 loss: 0.0332 recall@thr=0.5: 0.6346 prec@thr=0.5: 0.7179 recall@top3: 0.8205 prec@top3: 0.6667 recall@top5: 0.8526 prec@top5: 0.4231 loss_action_cls: 0.0332 2023/03/11 06:47:37 - mmengine - INFO - Epoch(train) [16][2740/4451] lr: 5.8330e-07 eta: 3:37:16 time: 1.6486 data_time: 0.7289 memory: 51970 grad_norm: 0.1394 loss: 0.0282 recall@thr=0.5: 0.7194 prec@thr=0.5: 0.8556 recall@top3: 0.9000 prec@top3: 0.7778 recall@top5: 0.9694 prec@top5: 0.5067 loss_action_cls: 0.0282 2023/03/11 06:48:16 - mmengine - INFO - Epoch(train) [16][2760/4451] lr: 5.8219e-07 eta: 3:37:10 time: 1.9466 data_time: 0.7162 memory: 51970 grad_norm: 0.1356 loss: 0.0309 recall@thr=0.5: 0.7937 prec@thr=0.5: 0.8333 recall@top3: 0.8889 prec@top3: 0.7143 recall@top5: 0.9683 prec@top5: 0.4762 loss_action_cls: 0.0309 2023/03/11 06:48:49 - mmengine - INFO - Epoch(train) [16][2780/4451] lr: 5.8108e-07 eta: 3:37:02 time: 1.6878 data_time: 0.8513 memory: 51970 grad_norm: 0.1329 loss: 0.0271 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7870 recall@top3: 0.8981 prec@top3: 0.6111 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0271 2023/03/11 06:49:33 - mmengine - INFO - Epoch(train) [16][2800/4451] lr: 5.7997e-07 eta: 3:36:58 time: 2.1741 data_time: 1.4904 memory: 51970 grad_norm: 0.1333 loss: 0.0301 recall@thr=0.5: 0.7933 prec@thr=0.5: 0.7600 recall@top3: 0.8867 prec@top3: 0.5600 recall@top5: 0.9267 prec@top5: 0.3600 loss_action_cls: 0.0301 2023/03/11 06:50:09 - mmengine - INFO - Epoch(train) [16][2820/4451] lr: 5.7887e-07 eta: 3:36:51 time: 1.8134 data_time: 0.9452 memory: 51970 grad_norm: 0.1373 loss: 0.0288 recall@thr=0.5: 0.6984 prec@thr=0.5: 0.7460 recall@top3: 0.8214 prec@top3: 0.7143 recall@top5: 0.9841 prec@top5: 0.5333 loss_action_cls: 0.0288 2023/03/11 06:50:48 - mmengine - INFO - Epoch(train) [16][2840/4451] lr: 5.7776e-07 eta: 3:36:44 time: 1.9450 data_time: 0.6870 memory: 51970 grad_norm: 0.1387 loss: 0.0313 recall@thr=0.5: 0.6632 prec@thr=0.5: 0.7431 recall@top3: 0.7882 prec@top3: 0.5833 recall@top5: 0.9375 prec@top5: 0.4250 loss_action_cls: 0.0313 2023/03/11 06:51:25 - mmengine - INFO - Epoch(train) [16][2860/4451] lr: 5.7665e-07 eta: 3:36:37 time: 1.8574 data_time: 0.7612 memory: 51970 grad_norm: 0.1368 loss: 0.0266 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.7674 recall@top3: 0.8021 prec@top3: 0.6806 recall@top5: 0.8542 prec@top5: 0.4500 loss_action_cls: 0.0266 2023/03/11 06:52:11 - mmengine - INFO - Epoch(train) [16][2880/4451] lr: 5.7555e-07 eta: 3:36:33 time: 2.2868 data_time: 1.0903 memory: 51970 grad_norm: 0.1364 loss: 0.0265 recall@thr=0.5: 0.9306 prec@thr=0.5: 0.9028 recall@top3: 0.9861 prec@top3: 0.7593 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0265 2023/03/11 06:52:50 - mmengine - INFO - Epoch(train) [16][2900/4451] lr: 5.7444e-07 eta: 3:36:27 time: 1.9478 data_time: 0.3170 memory: 51970 grad_norm: 0.1369 loss: 0.0331 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.7308 recall@top3: 0.8205 prec@top3: 0.5385 recall@top5: 0.8974 prec@top5: 0.3538 loss_action_cls: 0.0331 2023/03/11 06:53:28 - mmengine - INFO - Epoch(train) [16][2920/4451] lr: 5.7334e-07 eta: 3:36:20 time: 1.8902 data_time: 0.9999 memory: 51970 grad_norm: 0.1351 loss: 0.0334 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9412 recall@top3: 0.9314 prec@top3: 0.8235 recall@top5: 0.9804 prec@top5: 0.5294 loss_action_cls: 0.0334 2023/03/11 06:54:02 - mmengine - INFO - Epoch(train) [16][2940/4451] lr: 5.7224e-07 eta: 3:36:13 time: 1.7394 data_time: 0.6998 memory: 51970 grad_norm: 0.1352 loss: 0.0286 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.8467 recall@top3: 0.9000 prec@top3: 0.8000 recall@top5: 0.9708 prec@top5: 0.5300 loss_action_cls: 0.0286 2023/03/11 06:54:42 - mmengine - INFO - Epoch(train) [16][2960/4451] lr: 5.7114e-07 eta: 3:36:06 time: 1.9877 data_time: 1.4078 memory: 51970 grad_norm: 0.1403 loss: 0.0303 recall@thr=0.5: 0.5995 prec@thr=0.5: 0.8333 recall@top3: 0.7824 prec@top3: 0.6111 recall@top5: 0.8866 prec@top5: 0.4333 loss_action_cls: 0.0303 2023/03/11 06:55:17 - mmengine - INFO - Epoch(train) [16][2980/4451] lr: 5.7003e-07 eta: 3:35:59 time: 1.7533 data_time: 1.1218 memory: 51970 grad_norm: 0.1331 loss: 0.0267 recall@thr=0.5: 0.7899 prec@thr=0.5: 0.8696 recall@top3: 0.8478 prec@top3: 0.6232 recall@top5: 0.9130 prec@top5: 0.4087 loss_action_cls: 0.0267 2023/03/11 06:55:57 - mmengine - INFO - Epoch(train) [16][3000/4451] lr: 5.6893e-07 eta: 3:35:53 time: 1.9896 data_time: 1.1911 memory: 51970 grad_norm: 0.1349 loss: 0.0262 recall@thr=0.5: 0.7750 prec@thr=0.5: 0.8192 recall@top3: 0.7917 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5600 loss_action_cls: 0.0262 2023/03/11 06:56:37 - mmengine - INFO - Epoch(train) [16][3020/4451] lr: 5.6784e-07 eta: 3:35:47 time: 2.0161 data_time: 0.7658 memory: 51970 grad_norm: 0.1355 loss: 0.0291 recall@thr=0.5: 0.6246 prec@thr=0.5: 0.7717 recall@top3: 0.7587 prec@top3: 0.7246 recall@top5: 0.9130 prec@top5: 0.5652 loss_action_cls: 0.0291 2023/03/11 06:57:12 - mmengine - INFO - Epoch(train) [16][3040/4451] lr: 5.6674e-07 eta: 3:35:39 time: 1.7396 data_time: 0.7568 memory: 51970 grad_norm: 0.1288 loss: 0.0297 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8806 recall@top3: 0.8056 prec@top3: 0.7500 recall@top5: 0.9583 prec@top5: 0.5333 loss_action_cls: 0.0297 2023/03/11 06:57:55 - mmengine - INFO - Epoch(train) [16][3060/4451] lr: 5.6564e-07 eta: 3:35:34 time: 2.1318 data_time: 1.5804 memory: 51970 grad_norm: 0.1374 loss: 0.0271 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8269 recall@top3: 0.8667 prec@top3: 0.7436 recall@top5: 0.9410 prec@top5: 0.4923 loss_action_cls: 0.0271 2023/03/11 06:58:26 - mmengine - INFO - Epoch(train) [16][3080/4451] lr: 5.6454e-07 eta: 3:35:25 time: 1.5743 data_time: 0.8999 memory: 51970 grad_norm: 0.1444 loss: 0.0308 recall@thr=0.5: 0.8380 prec@thr=0.5: 1.0000 recall@top3: 0.8935 prec@top3: 0.7963 recall@top5: 1.0000 prec@top5: 0.5444 loss_action_cls: 0.0308 2023/03/11 06:59:08 - mmengine - INFO - Epoch(train) [16][3100/4451] lr: 5.6345e-07 eta: 3:35:19 time: 2.0904 data_time: 1.2723 memory: 51970 grad_norm: 0.1405 loss: 0.0294 recall@thr=0.5: 0.6174 prec@thr=0.5: 0.8258 recall@top3: 0.8598 prec@top3: 0.7424 recall@top5: 0.9318 prec@top5: 0.4909 loss_action_cls: 0.0294 2023/03/11 06:59:43 - mmengine - INFO - Epoch(train) [16][3120/4451] lr: 5.6235e-07 eta: 3:35:12 time: 1.7366 data_time: 0.6146 memory: 51970 grad_norm: 0.1388 loss: 0.0320 recall@thr=0.5: 0.8070 prec@thr=0.5: 0.8772 recall@top3: 0.9035 prec@top3: 0.6491 recall@top5: 0.9211 prec@top5: 0.4105 loss_action_cls: 0.0320 2023/03/11 07:00:19 - mmengine - INFO - Epoch(train) [16][3140/4451] lr: 5.6126e-07 eta: 3:35:05 time: 1.8290 data_time: 0.9318 memory: 51970 grad_norm: 0.1384 loss: 0.0262 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8333 recall@top3: 0.9722 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4000 loss_action_cls: 0.0262 2023/03/11 07:01:02 - mmengine - INFO - Epoch(train) [16][3160/4451] lr: 5.6016e-07 eta: 3:34:59 time: 2.1499 data_time: 0.2717 memory: 51970 grad_norm: 0.1360 loss: 0.0306 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.9111 recall@top3: 0.8389 prec@top3: 0.7111 recall@top5: 0.9889 prec@top5: 0.5467 loss_action_cls: 0.0306 2023/03/11 07:01:35 - mmengine - INFO - Epoch(train) [16][3180/4451] lr: 5.5907e-07 eta: 3:34:51 time: 1.6249 data_time: 0.0920 memory: 51970 grad_norm: 0.1459 loss: 0.0289 recall@thr=0.5: 0.6605 prec@thr=0.5: 0.6790 recall@top3: 0.9259 prec@top3: 0.5802 recall@top5: 0.9259 prec@top5: 0.3481 loss_action_cls: 0.0289 2023/03/11 07:02:15 - mmengine - INFO - Epoch(train) [16][3200/4451] lr: 5.5798e-07 eta: 3:34:44 time: 1.9813 data_time: 0.3242 memory: 51970 grad_norm: 0.1403 loss: 0.0302 recall@thr=0.5: 0.9062 prec@thr=0.5: 0.8750 recall@top3: 0.9375 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4125 loss_action_cls: 0.0302 2023/03/11 07:02:46 - mmengine - INFO - Epoch(train) [16][3220/4451] lr: 5.5689e-07 eta: 3:34:36 time: 1.5489 data_time: 0.3104 memory: 51970 grad_norm: 0.1336 loss: 0.0352 recall@thr=0.5: 0.7108 prec@thr=0.5: 0.7676 recall@top3: 0.8382 prec@top3: 0.5882 recall@top5: 0.9265 prec@top5: 0.4118 loss_action_cls: 0.0352 2023/03/11 07:03:16 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 07:03:29 - mmengine - INFO - Epoch(train) [16][3240/4451] lr: 5.5580e-07 eta: 3:34:30 time: 2.1612 data_time: 1.1075 memory: 51970 grad_norm: 0.1364 loss: 0.0295 recall@thr=0.5: 0.8137 prec@thr=0.5: 0.8431 recall@top3: 0.8922 prec@top3: 0.7451 recall@top5: 0.9706 prec@top5: 0.4941 loss_action_cls: 0.0295 2023/03/11 07:04:01 - mmengine - INFO - Epoch(train) [16][3260/4451] lr: 5.5471e-07 eta: 3:34:22 time: 1.6101 data_time: 0.6758 memory: 51970 grad_norm: 0.1448 loss: 0.0322 recall@thr=0.5: 0.5778 prec@thr=0.5: 0.7333 recall@top3: 0.9056 prec@top3: 0.6889 recall@top5: 0.9500 prec@top5: 0.4400 loss_action_cls: 0.0322 2023/03/11 07:04:48 - mmengine - INFO - Epoch(train) [16][3280/4451] lr: 5.5362e-07 eta: 3:34:17 time: 2.3392 data_time: 0.6358 memory: 51970 grad_norm: 0.1344 loss: 0.0280 recall@thr=0.5: 0.8600 prec@thr=0.5: 0.8400 recall@top3: 0.8400 prec@top3: 0.7867 recall@top5: 0.9900 prec@top5: 0.5840 loss_action_cls: 0.0280 2023/03/11 07:05:18 - mmengine - INFO - Epoch(train) [16][3300/4451] lr: 5.5253e-07 eta: 3:34:08 time: 1.5328 data_time: 0.0907 memory: 51970 grad_norm: 0.1419 loss: 0.0316 recall@thr=0.5: 0.6771 prec@thr=0.5: 0.6562 recall@top3: 0.8958 prec@top3: 0.5833 recall@top5: 0.9583 prec@top5: 0.3875 loss_action_cls: 0.0316 2023/03/11 07:06:01 - mmengine - INFO - Epoch(train) [16][3320/4451] lr: 5.5144e-07 eta: 3:34:02 time: 2.1097 data_time: 0.0143 memory: 51970 grad_norm: 0.1370 loss: 0.0292 recall@thr=0.5: 0.8619 prec@thr=0.5: 0.8413 recall@top3: 0.9460 prec@top3: 0.7460 recall@top5: 0.9746 prec@top5: 0.4762 loss_action_cls: 0.0292 2023/03/11 07:06:36 - mmengine - INFO - Epoch(train) [16][3340/4451] lr: 5.5036e-07 eta: 3:33:55 time: 1.7780 data_time: 0.0127 memory: 51970 grad_norm: 0.1445 loss: 0.0291 recall@thr=0.5: 0.7889 prec@thr=0.5: 0.7667 recall@top3: 0.8000 prec@top3: 0.5778 recall@top5: 0.8944 prec@top5: 0.4133 loss_action_cls: 0.0291 2023/03/11 07:07:18 - mmengine - INFO - Epoch(train) [16][3360/4451] lr: 5.4927e-07 eta: 3:33:49 time: 2.0863 data_time: 0.0140 memory: 51970 grad_norm: 0.1419 loss: 0.0306 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.6471 recall@top3: 0.9853 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.3882 loss_action_cls: 0.0306 2023/03/11 07:07:51 - mmengine - INFO - Epoch(train) [16][3380/4451] lr: 5.4818e-07 eta: 3:33:41 time: 1.6728 data_time: 0.0117 memory: 51970 grad_norm: 0.1321 loss: 0.0300 recall@thr=0.5: 0.6146 prec@thr=0.5: 0.7500 recall@top3: 0.8333 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.4125 loss_action_cls: 0.0300 2023/03/11 07:08:24 - mmengine - INFO - Epoch(train) [16][3400/4451] lr: 5.4710e-07 eta: 3:33:32 time: 1.6107 data_time: 0.0127 memory: 51970 grad_norm: 0.1350 loss: 0.0308 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.7807 recall@top3: 0.8158 prec@top3: 0.7018 recall@top5: 0.9868 prec@top5: 0.5474 loss_action_cls: 0.0308 2023/03/11 07:09:10 - mmengine - INFO - Epoch(train) [16][3420/4451] lr: 5.4602e-07 eta: 3:33:27 time: 2.3180 data_time: 0.0210 memory: 51970 grad_norm: 0.1357 loss: 0.0280 recall@thr=0.5: 0.7099 prec@thr=0.5: 0.6852 recall@top3: 0.8148 prec@top3: 0.6420 recall@top5: 0.8735 prec@top5: 0.4222 loss_action_cls: 0.0280 2023/03/11 07:09:42 - mmengine - INFO - Epoch(train) [16][3440/4451] lr: 5.4494e-07 eta: 3:33:18 time: 1.5853 data_time: 0.0238 memory: 51970 grad_norm: 0.1391 loss: 0.0287 recall@thr=0.5: 0.7188 prec@thr=0.5: 0.8021 recall@top3: 0.8854 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.4625 loss_action_cls: 0.0287 2023/03/11 07:10:25 - mmengine - INFO - Epoch(train) [16][3460/4451] lr: 5.4385e-07 eta: 3:33:13 time: 2.1466 data_time: 0.0153 memory: 51970 grad_norm: 0.1352 loss: 0.0275 recall@thr=0.5: 0.6000 prec@thr=0.5: 0.7778 recall@top3: 0.7778 prec@top3: 0.5111 recall@top5: 1.0000 prec@top5: 0.4267 loss_action_cls: 0.0275 2023/03/11 07:10:57 - mmengine - INFO - Epoch(train) [16][3480/4451] lr: 5.4277e-07 eta: 3:33:04 time: 1.6392 data_time: 0.0117 memory: 51970 grad_norm: 0.1306 loss: 0.0282 recall@thr=0.5: 0.8299 prec@thr=0.5: 0.9444 recall@top3: 0.8715 prec@top3: 0.6528 recall@top5: 0.9340 prec@top5: 0.4333 loss_action_cls: 0.0282 2023/03/11 07:11:37 - mmengine - INFO - Epoch(train) [16][3500/4451] lr: 5.4169e-07 eta: 3:32:57 time: 1.9640 data_time: 0.0173 memory: 51970 grad_norm: 0.1370 loss: 0.0297 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8333 recall@top3: 0.8819 prec@top3: 0.5833 recall@top5: 0.9444 prec@top5: 0.3917 loss_action_cls: 0.0297 2023/03/11 07:12:13 - mmengine - INFO - Epoch(train) [16][3520/4451] lr: 5.4062e-07 eta: 3:32:50 time: 1.8245 data_time: 0.0127 memory: 51970 grad_norm: 0.1410 loss: 0.0269 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7353 recall@top3: 0.8725 prec@top3: 0.7451 recall@top5: 0.9706 prec@top5: 0.5176 loss_action_cls: 0.0269 2023/03/11 07:12:57 - mmengine - INFO - Epoch(train) [16][3540/4451] lr: 5.3954e-07 eta: 3:32:44 time: 2.1870 data_time: 0.0135 memory: 51970 grad_norm: 0.1403 loss: 0.0353 recall@thr=0.5: 0.7153 prec@thr=0.5: 0.7500 recall@top3: 0.8819 prec@top3: 0.5556 recall@top5: 0.9653 prec@top5: 0.3667 loss_action_cls: 0.0353 2023/03/11 07:13:28 - mmengine - INFO - Epoch(train) [16][3560/4451] lr: 5.3846e-07 eta: 3:32:35 time: 1.5537 data_time: 0.0126 memory: 51970 grad_norm: 0.1333 loss: 0.0318 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.7745 recall@top3: 0.8480 prec@top3: 0.5882 recall@top5: 0.9363 prec@top5: 0.4000 loss_action_cls: 0.0318 2023/03/11 07:14:09 - mmengine - INFO - Epoch(train) [16][3580/4451] lr: 5.3738e-07 eta: 3:32:29 time: 2.0728 data_time: 0.0128 memory: 51970 grad_norm: 0.1339 loss: 0.0290 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.8500 recall@top3: 0.8417 prec@top3: 0.7333 recall@top5: 0.9667 prec@top5: 0.5200 loss_action_cls: 0.0290 2023/03/11 07:14:40 - mmengine - INFO - Epoch(train) [16][3600/4451] lr: 5.3631e-07 eta: 3:32:20 time: 1.5237 data_time: 0.0130 memory: 51970 grad_norm: 0.1358 loss: 0.0293 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7833 recall@top3: 0.8889 prec@top3: 0.6481 recall@top5: 0.9583 prec@top5: 0.4444 loss_action_cls: 0.0293 2023/03/11 07:14:58 - mmengine - INFO - Epoch(train) [16][3620/4451] lr: 5.3523e-07 eta: 3:32:07 time: 0.9178 data_time: 0.0135 memory: 51970 grad_norm: 0.1366 loss: 0.0288 recall@thr=0.5: 0.9649 prec@thr=0.5: 0.9474 recall@top3: 0.9649 prec@top3: 0.7193 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0288 2023/03/11 07:15:21 - mmengine - INFO - Epoch(train) [16][3640/4451] lr: 5.3416e-07 eta: 3:31:56 time: 1.1083 data_time: 0.0131 memory: 51970 grad_norm: 0.1379 loss: 0.0277 recall@thr=0.5: 0.6574 prec@thr=0.5: 0.7778 recall@top3: 0.8935 prec@top3: 0.6667 recall@top5: 0.9213 prec@top5: 0.4111 loss_action_cls: 0.0277 2023/03/11 07:16:22 - mmengine - INFO - Epoch(train) [16][3660/4451] lr: 5.3309e-07 eta: 3:31:55 time: 3.0557 data_time: 0.0139 memory: 51970 grad_norm: 0.1446 loss: 0.0310 recall@thr=0.5: 0.6754 prec@thr=0.5: 0.7895 recall@top3: 0.7719 prec@top3: 0.6316 recall@top5: 0.8596 prec@top5: 0.4316 loss_action_cls: 0.0310 2023/03/11 07:17:00 - mmengine - INFO - Epoch(train) [16][3680/4451] lr: 5.3201e-07 eta: 3:31:48 time: 1.9298 data_time: 0.0160 memory: 51970 grad_norm: 0.1436 loss: 0.0293 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.8333 recall@top3: 0.8492 prec@top3: 0.6508 recall@top5: 0.9524 prec@top5: 0.4381 loss_action_cls: 0.0293 2023/03/11 07:17:59 - mmengine - INFO - Epoch(train) [16][3700/4451] lr: 5.3094e-07 eta: 3:31:46 time: 2.9243 data_time: 0.0627 memory: 51970 grad_norm: 0.1367 loss: 0.0325 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.8676 recall@top3: 0.8235 prec@top3: 0.5490 recall@top5: 0.9804 prec@top5: 0.4353 loss_action_cls: 0.0325 2023/03/11 07:18:48 - mmengine - INFO - Epoch(train) [16][3720/4451] lr: 5.2987e-07 eta: 3:31:42 time: 2.4747 data_time: 0.3065 memory: 51970 grad_norm: 0.1437 loss: 0.0292 recall@thr=0.5: 0.8067 prec@thr=0.5: 0.8067 recall@top3: 0.9333 prec@top3: 0.6667 recall@top5: 0.9867 prec@top5: 0.4320 loss_action_cls: 0.0292 2023/03/11 07:19:42 - mmengine - INFO - Epoch(train) [16][3740/4451] lr: 5.2880e-07 eta: 3:31:38 time: 2.6671 data_time: 0.0288 memory: 51970 grad_norm: 0.1281 loss: 0.0306 recall@thr=0.5: 0.6283 prec@thr=0.5: 0.6087 recall@top3: 0.7442 prec@top3: 0.6812 recall@top5: 0.8993 prec@top5: 0.5043 loss_action_cls: 0.0306 2023/03/11 07:19:53 - mmengine - INFO - Epoch(train) [16][3760/4451] lr: 5.2773e-07 eta: 3:31:24 time: 0.5964 data_time: 0.0132 memory: 51970 grad_norm: 0.1302 loss: 0.0292 recall@thr=0.5: 0.8735 prec@thr=0.5: 0.9259 recall@top3: 0.9290 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4370 loss_action_cls: 0.0292 2023/03/11 07:20:06 - mmengine - INFO - Epoch(train) [16][3780/4451] lr: 5.2667e-07 eta: 3:31:10 time: 0.6070 data_time: 0.0124 memory: 51970 grad_norm: 0.1388 loss: 0.0309 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.7639 recall@top3: 0.9120 prec@top3: 0.7222 recall@top5: 0.9815 prec@top5: 0.4889 loss_action_cls: 0.0309 2023/03/11 07:20:17 - mmengine - INFO - Epoch(train) [16][3800/4451] lr: 5.2560e-07 eta: 3:30:56 time: 0.5698 data_time: 0.0131 memory: 51970 grad_norm: 0.1385 loss: 0.0286 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8958 recall@top3: 0.8854 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.4125 loss_action_cls: 0.0286 2023/03/11 07:20:30 - mmengine - INFO - Epoch(train) [16][3820/4451] lr: 5.2453e-07 eta: 3:30:42 time: 0.6436 data_time: 0.0133 memory: 51970 grad_norm: 0.1269 loss: 0.0315 recall@thr=0.5: 0.6982 prec@thr=0.5: 0.6544 recall@top3: 0.8825 prec@top3: 0.5439 recall@top5: 0.9895 prec@top5: 0.3895 loss_action_cls: 0.0315 2023/03/11 07:20:44 - mmengine - INFO - Epoch(train) [16][3840/4451] lr: 5.2347e-07 eta: 3:30:28 time: 0.6807 data_time: 0.0134 memory: 51970 grad_norm: 0.1352 loss: 0.0266 recall@thr=0.5: 0.8958 prec@thr=0.5: 0.8958 recall@top3: 0.9635 prec@top3: 0.7083 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0266 2023/03/11 07:20:56 - mmengine - INFO - Epoch(train) [16][3860/4451] lr: 5.2240e-07 eta: 3:30:14 time: 0.6197 data_time: 0.0241 memory: 51970 grad_norm: 0.1354 loss: 0.0323 recall@thr=0.5: 0.6728 prec@thr=0.5: 0.7253 recall@top3: 0.9012 prec@top3: 0.6667 recall@top5: 0.9815 prec@top5: 0.4519 loss_action_cls: 0.0323 2023/03/11 07:21:09 - mmengine - INFO - Epoch(train) [16][3880/4451] lr: 5.2134e-07 eta: 3:30:00 time: 0.6523 data_time: 0.1331 memory: 51970 grad_norm: 0.1360 loss: 0.0268 recall@thr=0.5: 0.7099 prec@thr=0.5: 0.8148 recall@top3: 0.9012 prec@top3: 0.5679 recall@top5: 0.9444 prec@top5: 0.3704 loss_action_cls: 0.0268 2023/03/11 07:21:22 - mmengine - INFO - Epoch(train) [16][3900/4451] lr: 5.2028e-07 eta: 3:29:46 time: 0.6556 data_time: 0.0718 memory: 51970 grad_norm: 0.1388 loss: 0.0277 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8111 recall@top3: 0.8389 prec@top3: 0.6444 recall@top5: 0.9611 prec@top5: 0.4533 loss_action_cls: 0.0277 2023/03/11 07:21:35 - mmengine - INFO - Epoch(train) [16][3920/4451] lr: 5.1922e-07 eta: 3:29:32 time: 0.6565 data_time: 0.0145 memory: 51970 grad_norm: 0.1379 loss: 0.0262 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.7560 recall@top3: 0.9286 prec@top3: 0.6905 recall@top5: 0.9821 prec@top5: 0.4500 loss_action_cls: 0.0262 2023/03/11 07:21:47 - mmengine - INFO - Epoch(train) [16][3940/4451] lr: 5.1815e-07 eta: 3:29:18 time: 0.6005 data_time: 0.0192 memory: 51970 grad_norm: 0.1371 loss: 0.0286 recall@thr=0.5: 0.4202 prec@thr=0.5: 0.4732 recall@top3: 0.6494 prec@top3: 0.5833 recall@top5: 0.9125 prec@top5: 0.5000 loss_action_cls: 0.0286 2023/03/11 07:22:00 - mmengine - INFO - Epoch(train) [16][3960/4451] lr: 5.1709e-07 eta: 3:29:04 time: 0.6386 data_time: 0.0283 memory: 51970 grad_norm: 0.1382 loss: 0.0295 recall@thr=0.5: 0.8594 prec@thr=0.5: 0.8125 recall@top3: 0.8906 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0295 2023/03/11 07:22:12 - mmengine - INFO - Epoch(train) [16][3980/4451] lr: 5.1603e-07 eta: 3:28:50 time: 0.5852 data_time: 0.0202 memory: 51970 grad_norm: 0.1333 loss: 0.0266 recall@thr=0.5: 0.9470 prec@thr=0.5: 0.8636 recall@top3: 1.0000 prec@top3: 0.6061 recall@top5: 1.0000 prec@top5: 0.3636 loss_action_cls: 0.0266 2023/03/11 07:22:24 - mmengine - INFO - Epoch(train) [16][4000/4451] lr: 5.1498e-07 eta: 3:28:36 time: 0.6058 data_time: 0.0128 memory: 51970 grad_norm: 0.1398 loss: 0.0322 recall@thr=0.5: 0.7411 prec@thr=0.5: 0.7619 recall@top3: 0.8244 prec@top3: 0.6905 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0322 2023/03/11 07:22:36 - mmengine - INFO - Epoch(train) [16][4020/4451] lr: 5.1392e-07 eta: 3:28:22 time: 0.6159 data_time: 0.0125 memory: 51970 grad_norm: 0.1423 loss: 0.0296 recall@thr=0.5: 0.8111 prec@thr=0.5: 0.9000 recall@top3: 0.8111 prec@top3: 0.6889 recall@top5: 0.9667 prec@top5: 0.4800 loss_action_cls: 0.0296 2023/03/11 07:22:49 - mmengine - INFO - Epoch(train) [16][4040/4451] lr: 5.1286e-07 eta: 3:28:08 time: 0.6607 data_time: 0.0133 memory: 51970 grad_norm: 0.1403 loss: 0.0280 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8039 recall@top3: 0.9020 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4353 loss_action_cls: 0.0280 2023/03/11 07:23:01 - mmengine - INFO - Epoch(train) [16][4060/4451] lr: 5.1181e-07 eta: 3:27:54 time: 0.5557 data_time: 0.0127 memory: 51970 grad_norm: 0.1306 loss: 0.0302 recall@thr=0.5: 0.6470 prec@thr=0.5: 0.8409 recall@top3: 0.8568 prec@top3: 0.7121 recall@top5: 0.9341 prec@top5: 0.4818 loss_action_cls: 0.0302 2023/03/11 07:23:13 - mmengine - INFO - Epoch(train) [16][4080/4451] lr: 5.1075e-07 eta: 3:27:39 time: 0.6190 data_time: 0.0139 memory: 51970 grad_norm: 0.1371 loss: 0.0276 recall@thr=0.5: 0.7892 prec@thr=0.5: 0.8284 recall@top3: 0.8725 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0276 2023/03/11 07:23:25 - mmengine - INFO - Epoch(train) [16][4100/4451] lr: 5.0970e-07 eta: 3:27:25 time: 0.6145 data_time: 0.0127 memory: 51970 grad_norm: 0.1332 loss: 0.0288 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8750 recall@top3: 0.8646 prec@top3: 0.7292 recall@top5: 0.9479 prec@top5: 0.4875 loss_action_cls: 0.0288 2023/03/11 07:23:37 - mmengine - INFO - Epoch(train) [16][4120/4451] lr: 5.0864e-07 eta: 3:27:11 time: 0.6075 data_time: 0.0319 memory: 51970 grad_norm: 0.1399 loss: 0.0289 recall@thr=0.5: 0.6630 prec@thr=0.5: 0.7761 recall@top3: 0.9130 prec@top3: 0.7101 recall@top5: 0.9891 prec@top5: 0.4870 loss_action_cls: 0.0289 2023/03/11 07:23:52 - mmengine - INFO - Epoch(train) [16][4140/4451] lr: 5.0759e-07 eta: 3:26:58 time: 0.7120 data_time: 0.0236 memory: 51970 grad_norm: 0.1376 loss: 0.0290 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.8175 recall@top3: 0.8413 prec@top3: 0.7619 recall@top5: 0.9444 prec@top5: 0.5143 loss_action_cls: 0.0290 2023/03/11 07:24:04 - mmengine - INFO - Epoch(train) [16][4160/4451] lr: 5.0654e-07 eta: 3:26:44 time: 0.6229 data_time: 0.0123 memory: 51970 grad_norm: 0.1361 loss: 0.0271 recall@thr=0.5: 0.5530 prec@thr=0.5: 0.5884 recall@top3: 0.7551 prec@top3: 0.5556 recall@top5: 0.8712 prec@top5: 0.3879 loss_action_cls: 0.0271 2023/03/11 07:24:16 - mmengine - INFO - Epoch(train) [16][4180/4451] lr: 5.0549e-07 eta: 3:26:30 time: 0.6051 data_time: 0.0135 memory: 51970 grad_norm: 0.1437 loss: 0.0255 recall@thr=0.5: 0.8244 prec@thr=0.5: 0.9286 recall@top3: 0.8929 prec@top3: 0.5952 recall@top5: 0.9286 prec@top5: 0.3786 loss_action_cls: 0.0255 2023/03/11 07:24:28 - mmengine - INFO - Epoch(train) [16][4200/4451] lr: 5.0444e-07 eta: 3:26:15 time: 0.6024 data_time: 0.0135 memory: 51970 grad_norm: 0.1423 loss: 0.0300 recall@thr=0.5: 0.8258 prec@thr=0.5: 0.8182 recall@top3: 0.8371 prec@top3: 0.6667 recall@top5: 0.9697 prec@top5: 0.4727 loss_action_cls: 0.0300 2023/03/11 07:24:43 - mmengine - INFO - Epoch(train) [16][4220/4451] lr: 5.0339e-07 eta: 3:26:02 time: 0.7151 data_time: 0.0130 memory: 51970 grad_norm: 0.1374 loss: 0.0250 recall@thr=0.5: 0.6591 prec@thr=0.5: 0.7197 recall@top3: 0.8636 prec@top3: 0.6061 recall@top5: 0.9318 prec@top5: 0.3909 loss_action_cls: 0.0250 2023/03/11 07:24:50 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 07:24:54 - mmengine - INFO - Epoch(train) [16][4240/4451] lr: 5.0234e-07 eta: 3:25:48 time: 0.5619 data_time: 0.0162 memory: 51970 grad_norm: 0.1423 loss: 0.0337 recall@thr=0.5: 0.8490 prec@thr=0.5: 0.8229 recall@top3: 0.9062 prec@top3: 0.6250 recall@top5: 0.9635 prec@top5: 0.4125 loss_action_cls: 0.0337 2023/03/11 07:25:29 - mmengine - INFO - Epoch(train) [16][4260/4451] lr: 5.0129e-07 eta: 3:25:39 time: 1.7852 data_time: 0.0129 memory: 51970 grad_norm: 0.1393 loss: 0.0273 recall@thr=0.5: 0.6825 prec@thr=0.5: 0.7778 recall@top3: 0.8492 prec@top3: 0.6349 recall@top5: 0.9524 prec@top5: 0.4571 loss_action_cls: 0.0273 2023/03/11 07:26:00 - mmengine - INFO - Epoch(train) [16][4280/4451] lr: 5.0025e-07 eta: 3:25:30 time: 1.5093 data_time: 0.0126 memory: 51970 grad_norm: 0.1385 loss: 0.0273 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.6373 recall@top3: 0.9314 prec@top3: 0.6275 recall@top5: 0.9706 prec@top5: 0.4000 loss_action_cls: 0.0273 2023/03/11 07:26:44 - mmengine - INFO - Epoch(train) [16][4300/4451] lr: 4.9920e-07 eta: 3:25:24 time: 2.2041 data_time: 0.0137 memory: 51970 grad_norm: 0.1390 loss: 0.0281 recall@thr=0.5: 0.7029 prec@thr=0.5: 0.8587 recall@top3: 0.8116 prec@top3: 0.6377 recall@top5: 0.9710 prec@top5: 0.4696 loss_action_cls: 0.0281 2023/03/11 07:27:17 - mmengine - INFO - Epoch(train) [16][4320/4451] lr: 4.9816e-07 eta: 3:25:15 time: 1.6784 data_time: 0.0129 memory: 51970 grad_norm: 0.1332 loss: 0.0319 recall@thr=0.5: 0.7804 prec@thr=0.5: 0.8824 recall@top3: 0.8784 prec@top3: 0.7843 recall@top5: 0.9412 prec@top5: 0.5176 loss_action_cls: 0.0319 2023/03/11 07:27:59 - mmengine - INFO - Epoch(train) [16][4340/4451] lr: 4.9711e-07 eta: 3:25:08 time: 2.0753 data_time: 0.0119 memory: 51970 grad_norm: 0.1370 loss: 0.0292 recall@thr=0.5: 0.8039 prec@thr=0.5: 0.7843 recall@top3: 0.8431 prec@top3: 0.7647 recall@top5: 0.9118 prec@top5: 0.5059 loss_action_cls: 0.0292 2023/03/11 07:28:29 - mmengine - INFO - Epoch(train) [16][4360/4451] lr: 4.9607e-07 eta: 3:24:59 time: 1.5012 data_time: 0.0142 memory: 51970 grad_norm: 0.1400 loss: 0.0301 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7674 recall@top3: 0.8472 prec@top3: 0.6528 recall@top5: 0.9236 prec@top5: 0.4417 loss_action_cls: 0.0301 2023/03/11 07:29:07 - mmengine - INFO - Epoch(train) [16][4380/4451] lr: 4.9503e-07 eta: 3:24:51 time: 1.8985 data_time: 0.0133 memory: 51970 grad_norm: 0.1417 loss: 0.0284 recall@thr=0.5: 0.9722 prec@thr=0.5: 0.9815 recall@top3: 1.0000 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4444 loss_action_cls: 0.0284 2023/03/11 07:29:47 - mmengine - INFO - Epoch(train) [16][4400/4451] lr: 4.9399e-07 eta: 3:24:44 time: 1.9841 data_time: 0.1065 memory: 51970 grad_norm: 0.1460 loss: 0.0316 recall@thr=0.5: 0.5875 prec@thr=0.5: 0.5125 recall@top3: 0.7500 prec@top3: 0.5333 recall@top5: 0.9083 prec@top5: 0.4100 loss_action_cls: 0.0316 2023/03/11 07:30:21 - mmengine - INFO - Epoch(train) [16][4420/4451] lr: 4.9295e-07 eta: 3:24:35 time: 1.6984 data_time: 0.0128 memory: 51970 grad_norm: 0.1371 loss: 0.0279 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7273 recall@top3: 0.7765 prec@top3: 0.6212 recall@top5: 0.9318 prec@top5: 0.4636 loss_action_cls: 0.0279 2023/03/11 07:31:04 - mmengine - INFO - Epoch(train) [16][4440/4451] lr: 4.9191e-07 eta: 3:24:29 time: 2.1911 data_time: 0.0429 memory: 51970 grad_norm: 0.1340 loss: 0.0304 recall@thr=0.5: 0.6506 prec@thr=0.5: 0.6410 recall@top3: 0.9006 prec@top3: 0.6923 recall@top5: 0.9615 prec@top5: 0.4538 loss_action_cls: 0.0304 2023/03/11 07:31:10 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 07:31:10 - mmengine - INFO - Epoch(train) [16][4451/4451] lr: 4.9134e-07 eta: 3:24:21 time: 1.1372 data_time: 0.0125 memory: 51970 grad_norm: 0.1402 loss: 0.0275 recall@thr=0.5: 0.8141 prec@thr=0.5: 0.8462 recall@top3: 0.8558 prec@top3: 0.7308 recall@top5: 0.9615 prec@top5: 0.5077 loss_action_cls: 0.0275 2023/03/11 07:31:10 - mmengine - INFO - Saving checkpoint at 16 epochs 2023/03/11 07:31:18 - mmengine - INFO - Epoch(val) [16][ 20/6282] eta: 0:20:01 time: 0.1919 data_time: 0.1474 memory: 2331 2023/03/11 07:31:21 - mmengine - INFO - Epoch(val) [16][ 40/6282] eta: 0:17:19 time: 0.1412 data_time: 0.0985 memory: 2331 2023/03/11 07:31:24 - mmengine - INFO - Epoch(val) [16][ 60/6282] eta: 0:17:18 time: 0.1675 data_time: 0.1249 memory: 2331 2023/03/11 07:31:27 - mmengine - INFO - Epoch(val) [16][ 80/6282] eta: 0:15:55 time: 0.1157 data_time: 0.0729 memory: 2331 2023/03/11 07:31:30 - mmengine - INFO - Epoch(val) [16][ 100/6282] eta: 0:15:58 time: 0.1588 data_time: 0.1160 memory: 2331 2023/03/11 07:31:32 - mmengine - INFO - Epoch(val) [16][ 120/6282] eta: 0:15:25 time: 0.1262 data_time: 0.0725 memory: 2934 2023/03/11 07:31:36 - mmengine - INFO - Epoch(val) [16][ 140/6282] eta: 0:15:37 time: 0.1671 data_time: 0.1076 memory: 2934 2023/03/11 07:31:38 - mmengine - INFO - Epoch(val) [16][ 160/6282] eta: 0:15:19 time: 0.1334 data_time: 0.0721 memory: 2934 2023/03/11 07:31:42 - mmengine - INFO - Epoch(val) [16][ 180/6282] eta: 0:15:28 time: 0.1677 data_time: 0.1005 memory: 2934 2023/03/11 07:31:44 - mmengine - INFO - Epoch(val) [16][ 200/6282] eta: 0:15:05 time: 0.1187 data_time: 0.0550 memory: 2934 2023/03/11 07:31:47 - mmengine - INFO - Epoch(val) [16][ 220/6282] eta: 0:15:04 time: 0.1528 data_time: 0.1021 memory: 2396 2023/03/11 07:31:49 - mmengine - INFO - Epoch(val) [16][ 240/6282] eta: 0:14:44 time: 0.1158 data_time: 0.0709 memory: 2396 2023/03/11 07:31:53 - mmengine - INFO - Epoch(val) [16][ 260/6282] eta: 0:14:50 time: 0.1650 data_time: 0.1198 memory: 2396 2023/03/11 07:31:55 - mmengine - INFO - Epoch(val) [16][ 280/6282] eta: 0:14:38 time: 0.1264 data_time: 0.0812 memory: 2396 2023/03/11 07:31:58 - mmengine - INFO - Epoch(val) [16][ 300/6282] eta: 0:14:35 time: 0.1470 data_time: 0.0908 memory: 2934 2023/03/11 07:32:01 - mmengine - INFO - Epoch(val) [16][ 320/6282] eta: 0:14:28 time: 0.1342 data_time: 0.0724 memory: 2934 2023/03/11 07:32:04 - mmengine - INFO - Epoch(val) [16][ 340/6282] eta: 0:14:33 time: 0.1684 data_time: 0.1086 memory: 2934 2023/03/11 07:32:07 - mmengine - INFO - Epoch(val) [16][ 360/6282] eta: 0:14:24 time: 0.1303 data_time: 0.0702 memory: 2934 2023/03/11 07:32:11 - mmengine - INFO - Epoch(val) [16][ 380/6282] eta: 0:14:32 time: 0.1793 data_time: 0.1198 memory: 2934 2023/03/11 07:32:13 - mmengine - INFO - Epoch(val) [16][ 400/6282] eta: 0:14:23 time: 0.1291 data_time: 0.0769 memory: 2934 2023/03/11 07:32:16 - mmengine - INFO - Epoch(val) [16][ 420/6282] eta: 0:14:24 time: 0.1621 data_time: 0.1171 memory: 2397 2023/03/11 07:32:19 - mmengine - INFO - Epoch(val) [16][ 440/6282] eta: 0:14:17 time: 0.1301 data_time: 0.0786 memory: 2397 2023/03/11 07:32:22 - mmengine - INFO - Epoch(val) [16][ 460/6282] eta: 0:14:19 time: 0.1671 data_time: 0.1117 memory: 2397 2023/03/11 07:32:25 - mmengine - INFO - Epoch(val) [16][ 480/6282] eta: 0:14:09 time: 0.1190 data_time: 0.0740 memory: 2397 2023/03/11 07:32:28 - mmengine - INFO - Epoch(val) [16][ 500/6282] eta: 0:14:09 time: 0.1594 data_time: 0.1144 memory: 2397 2023/03/11 07:32:31 - mmengine - INFO - Epoch(val) [16][ 520/6282] eta: 0:14:04 time: 0.1343 data_time: 0.0893 memory: 2396 2023/03/11 07:32:34 - mmengine - INFO - Epoch(val) [16][ 540/6282] eta: 0:14:01 time: 0.1501 data_time: 0.1053 memory: 2396 2023/03/11 07:32:36 - mmengine - INFO - Epoch(val) [16][ 560/6282] eta: 0:13:55 time: 0.1315 data_time: 0.0866 memory: 2396 2023/03/11 07:32:40 - mmengine - INFO - Epoch(val) [16][ 580/6282] eta: 0:13:56 time: 0.1648 data_time: 0.1174 memory: 2396 2023/03/11 07:32:42 - mmengine - INFO - Epoch(val) [16][ 600/6282] eta: 0:13:52 time: 0.1394 data_time: 0.0880 memory: 2396 2023/03/11 07:32:45 - mmengine - INFO - Epoch(val) [16][ 620/6282] eta: 0:13:50 time: 0.1528 data_time: 0.1095 memory: 2396 2023/03/11 07:32:48 - mmengine - INFO - Epoch(val) [16][ 640/6282] eta: 0:13:42 time: 0.1180 data_time: 0.0753 memory: 2332 2023/03/11 07:32:51 - mmengine - INFO - Epoch(val) [16][ 660/6282] eta: 0:13:39 time: 0.1462 data_time: 0.1003 memory: 2332 2023/03/11 07:32:53 - mmengine - INFO - Epoch(val) [16][ 680/6282] eta: 0:13:29 time: 0.1014 data_time: 0.0546 memory: 2332 2023/03/11 07:32:55 - mmengine - INFO - Epoch(val) [16][ 700/6282] eta: 0:13:24 time: 0.1299 data_time: 0.0865 memory: 2332 2023/03/11 07:32:58 - mmengine - INFO - Epoch(val) [16][ 720/6282] eta: 0:13:18 time: 0.1285 data_time: 0.0687 memory: 2934 2023/03/11 07:33:01 - mmengine - INFO - Epoch(val) [16][ 740/6282] eta: 0:13:20 time: 0.1745 data_time: 0.1139 memory: 2934 2023/03/11 07:33:04 - mmengine - INFO - Epoch(val) [16][ 760/6282] eta: 0:13:16 time: 0.1329 data_time: 0.0702 memory: 2934 2023/03/11 07:33:08 - mmengine - INFO - Epoch(val) [16][ 780/6282] eta: 0:13:17 time: 0.1737 data_time: 0.1136 memory: 2934 2023/03/11 07:33:11 - mmengine - INFO - Epoch(val) [16][ 800/6282] eta: 0:13:15 time: 0.1535 data_time: 0.0882 memory: 2934 2023/03/11 07:33:14 - mmengine - INFO - Epoch(val) [16][ 820/6282] eta: 0:13:13 time: 0.1533 data_time: 0.1018 memory: 2934 2023/03/11 07:33:16 - mmengine - INFO - Epoch(val) [16][ 840/6282] eta: 0:13:09 time: 0.1373 data_time: 0.0887 memory: 2396 2023/03/11 07:33:20 - mmengine - INFO - Epoch(val) [16][ 860/6282] eta: 0:13:07 time: 0.1502 data_time: 0.0962 memory: 2396 2023/03/11 07:33:22 - mmengine - INFO - Epoch(val) [16][ 880/6282] eta: 0:13:04 time: 0.1453 data_time: 0.0984 memory: 2396 2023/03/11 07:33:25 - mmengine - INFO - Epoch(val) [16][ 900/6282] eta: 0:13:02 time: 0.1519 data_time: 0.1069 memory: 2396 2023/03/11 07:33:28 - mmengine - INFO - Epoch(val) [16][ 920/6282] eta: 0:12:58 time: 0.1331 data_time: 0.0882 memory: 2396 2023/03/11 07:33:31 - mmengine - INFO - Epoch(val) [16][ 940/6282] eta: 0:12:55 time: 0.1461 data_time: 0.1001 memory: 2331 2023/03/11 07:33:34 - mmengine - INFO - Epoch(val) [16][ 960/6282] eta: 0:12:50 time: 0.1252 data_time: 0.0756 memory: 2331 2023/03/11 07:33:37 - mmengine - INFO - Epoch(val) [16][ 980/6282] eta: 0:12:48 time: 0.1570 data_time: 0.1103 memory: 2331 2023/03/11 07:33:39 - mmengine - INFO - Epoch(val) [16][1000/6282] eta: 0:12:44 time: 0.1272 data_time: 0.0813 memory: 2331 2023/03/11 07:33:43 - mmengine - INFO - Epoch(val) [16][1020/6282] eta: 0:12:43 time: 0.1700 data_time: 0.1271 memory: 2396 2023/03/11 07:33:45 - mmengine - INFO - Epoch(val) [16][1040/6282] eta: 0:12:39 time: 0.1338 data_time: 0.0889 memory: 2396 2023/03/11 07:33:48 - mmengine - INFO - Epoch(val) [16][1060/6282] eta: 0:12:37 time: 0.1525 data_time: 0.1075 memory: 2396 2023/03/11 07:33:51 - mmengine - INFO - Epoch(val) [16][1080/6282] eta: 0:12:33 time: 0.1343 data_time: 0.0826 memory: 2396 2023/03/11 07:33:54 - mmengine - INFO - Epoch(val) [16][1100/6282] eta: 0:12:31 time: 0.1534 data_time: 0.1084 memory: 2396 2023/03/11 07:33:57 - mmengine - INFO - Epoch(val) [16][1120/6282] eta: 0:12:27 time: 0.1311 data_time: 0.0818 memory: 2396 2023/03/11 07:34:00 - mmengine - INFO - Epoch(val) [16][1140/6282] eta: 0:12:27 time: 0.1762 data_time: 0.1313 memory: 2396 2023/03/11 07:34:03 - mmengine - INFO - Epoch(val) [16][1160/6282] eta: 0:12:23 time: 0.1389 data_time: 0.0905 memory: 2396 2023/03/11 07:34:06 - mmengine - INFO - Epoch(val) [16][1180/6282] eta: 0:12:21 time: 0.1499 data_time: 0.0979 memory: 2396 2023/03/11 07:34:09 - mmengine - INFO - Epoch(val) [16][1200/6282] eta: 0:12:16 time: 0.1175 data_time: 0.0667 memory: 2396 2023/03/11 07:34:11 - mmengine - INFO - Epoch(val) [16][1220/6282] eta: 0:12:12 time: 0.1376 data_time: 0.0862 memory: 2396 2023/03/11 07:34:14 - mmengine - INFO - Epoch(val) [16][1240/6282] eta: 0:12:09 time: 0.1484 data_time: 0.0861 memory: 2934 2023/03/11 07:34:17 - mmengine - INFO - Epoch(val) [16][1260/6282] eta: 0:12:08 time: 0.1582 data_time: 0.0979 memory: 2934 2023/03/11 07:34:21 - mmengine - INFO - Epoch(val) [16][1280/6282] eta: 0:12:07 time: 0.1705 data_time: 0.1104 memory: 2934 2023/03/11 07:34:24 - mmengine - INFO - Epoch(val) [16][1300/6282] eta: 0:12:05 time: 0.1546 data_time: 0.0922 memory: 2934 2023/03/11 07:34:27 - mmengine - INFO - Epoch(val) [16][1320/6282] eta: 0:12:02 time: 0.1505 data_time: 0.0866 memory: 2934 2023/03/11 07:34:30 - mmengine - INFO - Epoch(val) [16][1340/6282] eta: 0:12:00 time: 0.1576 data_time: 0.0929 memory: 2934 2023/03/11 07:34:33 - mmengine - INFO - Epoch(val) [16][1360/6282] eta: 0:11:57 time: 0.1498 data_time: 0.0872 memory: 2934 2023/03/11 07:34:36 - mmengine - INFO - Epoch(val) [16][1380/6282] eta: 0:11:55 time: 0.1604 data_time: 0.0942 memory: 2934 2023/03/11 07:34:39 - mmengine - INFO - Epoch(val) [16][1400/6282] eta: 0:11:52 time: 0.1443 data_time: 0.0824 memory: 2934 2023/03/11 07:34:43 - mmengine - INFO - Epoch(val) [16][1420/6282] eta: 0:11:53 time: 0.2045 data_time: 0.1417 memory: 2934 2023/03/11 07:34:46 - mmengine - INFO - Epoch(val) [16][1440/6282] eta: 0:11:50 time: 0.1414 data_time: 0.0752 memory: 2934 2023/03/11 07:34:49 - mmengine - INFO - Epoch(val) [16][1460/6282] eta: 0:11:48 time: 0.1540 data_time: 0.0944 memory: 2934 2023/03/11 07:34:52 - mmengine - INFO - Epoch(val) [16][1480/6282] eta: 0:11:45 time: 0.1443 data_time: 0.0848 memory: 2934 2023/03/11 07:34:55 - mmengine - INFO - Epoch(val) [16][1500/6282] eta: 0:11:42 time: 0.1540 data_time: 0.0834 memory: 2934 2023/03/11 07:34:58 - mmengine - INFO - Epoch(val) [16][1520/6282] eta: 0:11:39 time: 0.1413 data_time: 0.0779 memory: 3958 2023/03/11 07:35:02 - mmengine - INFO - Epoch(val) [16][1540/6282] eta: 0:11:38 time: 0.1729 data_time: 0.0863 memory: 3958 2023/03/11 07:35:04 - mmengine - INFO - Epoch(val) [16][1560/6282] eta: 0:11:34 time: 0.1416 data_time: 0.0541 memory: 3958 2023/03/11 07:35:08 - mmengine - INFO - Epoch(val) [16][1580/6282] eta: 0:11:32 time: 0.1549 data_time: 0.0692 memory: 3958 2023/03/11 07:35:10 - mmengine - INFO - Epoch(val) [16][1600/6282] eta: 0:11:28 time: 0.1335 data_time: 0.0503 memory: 3958 2023/03/11 07:35:13 - mmengine - INFO - Epoch(val) [16][1620/6282] eta: 0:11:26 time: 0.1617 data_time: 0.0786 memory: 3958 2023/03/11 07:35:16 - mmengine - INFO - Epoch(val) [16][1640/6282] eta: 0:11:22 time: 0.1331 data_time: 0.0700 memory: 2934 2023/03/11 07:35:19 - mmengine - INFO - Epoch(val) [16][1660/6282] eta: 0:11:20 time: 0.1563 data_time: 0.0912 memory: 2934 2023/03/11 07:35:22 - mmengine - INFO - Epoch(val) [16][1680/6282] eta: 0:11:16 time: 0.1288 data_time: 0.0688 memory: 2934 2023/03/11 07:35:25 - mmengine - INFO - Epoch(val) [16][1700/6282] eta: 0:11:13 time: 0.1475 data_time: 0.0879 memory: 2934 2023/03/11 07:35:27 - mmengine - INFO - Epoch(val) [16][1720/6282] eta: 0:11:09 time: 0.1316 data_time: 0.0721 memory: 2934 2023/03/11 07:35:30 - mmengine - INFO - Epoch(val) [16][1740/6282] eta: 0:11:06 time: 0.1511 data_time: 0.0887 memory: 2934 2023/03/11 07:35:33 - mmengine - INFO - Epoch(val) [16][1760/6282] eta: 0:11:03 time: 0.1429 data_time: 0.0724 memory: 2934 2023/03/11 07:35:36 - mmengine - INFO - Epoch(val) [16][1780/6282] eta: 0:11:00 time: 0.1403 data_time: 0.0757 memory: 2934 2023/03/11 07:35:39 - mmengine - INFO - Epoch(val) [16][1800/6282] eta: 0:10:56 time: 0.1325 data_time: 0.0672 memory: 2934 2023/03/11 07:35:41 - mmengine - INFO - Epoch(val) [16][1820/6282] eta: 0:10:52 time: 0.1245 data_time: 0.0638 memory: 2934 2023/03/11 07:35:44 - mmengine - INFO - Epoch(val) [16][1840/6282] eta: 0:10:48 time: 0.1169 data_time: 0.0545 memory: 2934 2023/03/11 07:35:47 - mmengine - INFO - Epoch(val) [16][1860/6282] eta: 0:10:46 time: 0.1684 data_time: 0.1055 memory: 2934 2023/03/11 07:35:50 - mmengine - INFO - Epoch(val) [16][1880/6282] eta: 0:10:43 time: 0.1425 data_time: 0.0783 memory: 2934 2023/03/11 07:35:53 - mmengine - INFO - Epoch(val) [16][1900/6282] eta: 0:10:41 time: 0.1744 data_time: 0.1098 memory: 2934 2023/03/11 07:35:56 - mmengine - INFO - Epoch(val) [16][1920/6282] eta: 0:10:38 time: 0.1454 data_time: 0.0832 memory: 2934 2023/03/11 07:36:00 - mmengine - INFO - Epoch(val) [16][1940/6282] eta: 0:10:37 time: 0.1839 data_time: 0.1215 memory: 2934 2023/03/11 07:36:03 - mmengine - INFO - Epoch(val) [16][1960/6282] eta: 0:10:34 time: 0.1402 data_time: 0.0948 memory: 2397 2023/03/11 07:36:06 - mmengine - INFO - Epoch(val) [16][1980/6282] eta: 0:10:31 time: 0.1521 data_time: 0.1071 memory: 2397 2023/03/11 07:36:08 - mmengine - INFO - Epoch(val) [16][2000/6282] eta: 0:10:28 time: 0.1298 data_time: 0.0786 memory: 2397 2023/03/11 07:36:12 - mmengine - INFO - Epoch(val) [16][2020/6282] eta: 0:10:25 time: 0.1533 data_time: 0.1003 memory: 2397 2023/03/11 07:36:14 - mmengine - INFO - Epoch(val) [16][2040/6282] eta: 0:10:21 time: 0.1253 data_time: 0.0746 memory: 2397 2023/03/11 07:36:17 - mmengine - INFO - Epoch(val) [16][2060/6282] eta: 0:10:18 time: 0.1518 data_time: 0.1017 memory: 2397 2023/03/11 07:36:20 - mmengine - INFO - Epoch(val) [16][2080/6282] eta: 0:10:15 time: 0.1280 data_time: 0.0831 memory: 2397 2023/03/11 07:36:23 - mmengine - INFO - Epoch(val) [16][2100/6282] eta: 0:10:13 time: 0.1657 data_time: 0.1208 memory: 2397 2023/03/11 07:36:26 - mmengine - INFO - Epoch(val) [16][2120/6282] eta: 0:10:09 time: 0.1269 data_time: 0.0752 memory: 2397 2023/03/11 07:36:29 - mmengine - INFO - Epoch(val) [16][2140/6282] eta: 0:10:07 time: 0.1669 data_time: 0.1092 memory: 2397 2023/03/11 07:36:31 - mmengine - INFO - Epoch(val) [16][2160/6282] eta: 0:10:03 time: 0.1191 data_time: 0.0681 memory: 2396 2023/03/11 07:36:35 - mmengine - INFO - Epoch(val) [16][2180/6282] eta: 0:10:01 time: 0.1722 data_time: 0.1273 memory: 2396 2023/03/11 07:36:37 - mmengine - INFO - Epoch(val) [16][2200/6282] eta: 0:09:58 time: 0.1376 data_time: 0.0853 memory: 2396 2023/03/11 07:36:41 - mmengine - INFO - Epoch(val) [16][2220/6282] eta: 0:09:55 time: 0.1711 data_time: 0.1209 memory: 2396 2023/03/11 07:36:44 - mmengine - INFO - Epoch(val) [16][2240/6282] eta: 0:09:52 time: 0.1312 data_time: 0.0864 memory: 2396 2023/03/11 07:36:47 - mmengine - INFO - Epoch(val) [16][2260/6282] eta: 0:09:49 time: 0.1516 data_time: 0.1065 memory: 2397 2023/03/11 07:36:49 - mmengine - INFO - Epoch(val) [16][2280/6282] eta: 0:09:46 time: 0.1280 data_time: 0.0787 memory: 2397 2023/03/11 07:36:52 - mmengine - INFO - Epoch(val) [16][2300/6282] eta: 0:09:43 time: 0.1582 data_time: 0.1089 memory: 2397 2023/03/11 07:36:55 - mmengine - INFO - Epoch(val) [16][2320/6282] eta: 0:09:39 time: 0.1178 data_time: 0.0728 memory: 2397 2023/03/11 07:36:58 - mmengine - INFO - Epoch(val) [16][2340/6282] eta: 0:09:37 time: 0.1574 data_time: 0.1124 memory: 2397 2023/03/11 07:37:01 - mmengine - INFO - Epoch(val) [16][2360/6282] eta: 0:09:34 time: 0.1399 data_time: 0.0949 memory: 2396 2023/03/11 07:37:04 - mmengine - INFO - Epoch(val) [16][2380/6282] eta: 0:09:31 time: 0.1541 data_time: 0.1000 memory: 2396 2023/03/11 07:37:06 - mmengine - INFO - Epoch(val) [16][2400/6282] eta: 0:09:27 time: 0.1113 data_time: 0.0633 memory: 2396 2023/03/11 07:37:09 - mmengine - INFO - Epoch(val) [16][2420/6282] eta: 0:09:24 time: 0.1625 data_time: 0.1127 memory: 2396 2023/03/11 07:37:12 - mmengine - INFO - Epoch(val) [16][2440/6282] eta: 0:09:21 time: 0.1238 data_time: 0.0684 memory: 2396 2023/03/11 07:37:15 - mmengine - INFO - Epoch(val) [16][2460/6282] eta: 0:09:18 time: 0.1648 data_time: 0.1055 memory: 2934 2023/03/11 07:37:18 - mmengine - INFO - Epoch(val) [16][2480/6282] eta: 0:09:15 time: 0.1315 data_time: 0.0716 memory: 2934 2023/03/11 07:37:21 - mmengine - INFO - Epoch(val) [16][2500/6282] eta: 0:09:13 time: 0.1805 data_time: 0.1183 memory: 2934 2023/03/11 07:37:24 - mmengine - INFO - Epoch(val) [16][2520/6282] eta: 0:09:09 time: 0.1194 data_time: 0.0591 memory: 2934 2023/03/11 07:37:27 - mmengine - INFO - Epoch(val) [16][2540/6282] eta: 0:09:07 time: 0.1520 data_time: 0.0916 memory: 2934 2023/03/11 07:37:30 - mmengine - INFO - Epoch(val) [16][2560/6282] eta: 0:09:05 time: 0.1859 data_time: 0.1255 memory: 2934 2023/03/11 07:37:34 - mmengine - INFO - Epoch(val) [16][2580/6282] eta: 0:09:03 time: 0.1807 data_time: 0.1153 memory: 2934 2023/03/11 07:37:37 - mmengine - INFO - Epoch(val) [16][2600/6282] eta: 0:09:00 time: 0.1309 data_time: 0.0698 memory: 2934 2023/03/11 07:37:41 - mmengine - INFO - Epoch(val) [16][2620/6282] eta: 0:08:58 time: 0.1934 data_time: 0.1326 memory: 2934 2023/03/11 07:37:44 - mmengine - INFO - Epoch(val) [16][2640/6282] eta: 0:08:55 time: 0.1496 data_time: 0.0899 memory: 2934 2023/03/11 07:37:47 - mmengine - INFO - Epoch(val) [16][2660/6282] eta: 0:08:52 time: 0.1580 data_time: 0.0685 memory: 3842 2023/03/11 07:37:49 - mmengine - INFO - Epoch(val) [16][2680/6282] eta: 0:08:49 time: 0.1355 data_time: 0.0462 memory: 3842 2023/03/11 07:37:52 - mmengine - INFO - Epoch(val) [16][2700/6282] eta: 0:08:46 time: 0.1499 data_time: 0.0672 memory: 3842 2023/03/11 07:37:55 - mmengine - INFO - Epoch(val) [16][2720/6282] eta: 0:08:43 time: 0.1379 data_time: 0.0565 memory: 3842 2023/03/11 07:37:58 - mmengine - INFO - Epoch(val) [16][2740/6282] eta: 0:08:40 time: 0.1408 data_time: 0.0650 memory: 3842 2023/03/11 07:38:01 - mmengine - INFO - Epoch(val) [16][2760/6282] eta: 0:08:37 time: 0.1454 data_time: 0.0916 memory: 2397 2023/03/11 07:38:04 - mmengine - INFO - Epoch(val) [16][2780/6282] eta: 0:08:34 time: 0.1399 data_time: 0.0948 memory: 2397 2023/03/11 07:38:07 - mmengine - INFO - Epoch(val) [16][2800/6282] eta: 0:08:31 time: 0.1405 data_time: 0.0897 memory: 2397 2023/03/11 07:38:10 - mmengine - INFO - Epoch(val) [16][2820/6282] eta: 0:08:28 time: 0.1454 data_time: 0.0991 memory: 2397 2023/03/11 07:38:12 - mmengine - INFO - Epoch(val) [16][2840/6282] eta: 0:08:25 time: 0.1456 data_time: 0.1003 memory: 2397 2023/03/11 07:38:15 - mmengine - INFO - Epoch(val) [16][2860/6282] eta: 0:08:22 time: 0.1445 data_time: 0.0889 memory: 2934 2023/03/11 07:38:19 - mmengine - INFO - Epoch(val) [16][2880/6282] eta: 0:08:19 time: 0.1570 data_time: 0.0914 memory: 2934 2023/03/11 07:38:22 - mmengine - INFO - Epoch(val) [16][2900/6282] eta: 0:08:17 time: 0.1748 data_time: 0.1151 memory: 2934 2023/03/11 07:38:25 - mmengine - INFO - Epoch(val) [16][2920/6282] eta: 0:08:14 time: 0.1356 data_time: 0.0840 memory: 2934 2023/03/11 07:38:27 - mmengine - INFO - Epoch(val) [16][2940/6282] eta: 0:08:10 time: 0.1351 data_time: 0.0859 memory: 2609 2023/03/11 07:38:30 - mmengine - INFO - Epoch(val) [16][2960/6282] eta: 0:08:07 time: 0.1249 data_time: 0.0757 memory: 2609 2023/03/11 07:38:33 - mmengine - INFO - Epoch(val) [16][2980/6282] eta: 0:08:04 time: 0.1408 data_time: 0.0917 memory: 2609 2023/03/11 07:38:36 - mmengine - INFO - Epoch(val) [16][3000/6282] eta: 0:08:01 time: 0.1447 data_time: 0.0956 memory: 2609 2023/03/11 07:38:38 - mmengine - INFO - Epoch(val) [16][3020/6282] eta: 0:07:58 time: 0.1364 data_time: 0.0689 memory: 2934 2023/03/11 07:38:41 - mmengine - INFO - Epoch(val) [16][3040/6282] eta: 0:07:55 time: 0.1509 data_time: 0.0844 memory: 2934 2023/03/11 07:38:44 - mmengine - INFO - Epoch(val) [16][3060/6282] eta: 0:07:52 time: 0.1468 data_time: 0.0871 memory: 2934 2023/03/11 07:38:47 - mmengine - INFO - Epoch(val) [16][3080/6282] eta: 0:07:49 time: 0.1252 data_time: 0.0643 memory: 2934 2023/03/11 07:38:50 - mmengine - INFO - Epoch(val) [16][3100/6282] eta: 0:07:46 time: 0.1418 data_time: 0.0852 memory: 2934 2023/03/11 07:38:52 - mmengine - INFO - Epoch(val) [16][3120/6282] eta: 0:07:42 time: 0.1297 data_time: 0.0847 memory: 2397 2023/03/11 07:38:55 - mmengine - INFO - Epoch(val) [16][3140/6282] eta: 0:07:39 time: 0.1367 data_time: 0.0886 memory: 2397 2023/03/11 07:38:58 - mmengine - INFO - Epoch(val) [16][3160/6282] eta: 0:07:36 time: 0.1381 data_time: 0.0915 memory: 2397 2023/03/11 07:39:01 - mmengine - INFO - Epoch(val) [16][3180/6282] eta: 0:07:33 time: 0.1463 data_time: 0.1009 memory: 2397 2023/03/11 07:39:04 - mmengine - INFO - Epoch(val) [16][3200/6282] eta: 0:07:30 time: 0.1356 data_time: 0.0801 memory: 2934 2023/03/11 07:39:07 - mmengine - INFO - Epoch(val) [16][3220/6282] eta: 0:07:27 time: 0.1514 data_time: 0.0883 memory: 2934 2023/03/11 07:39:09 - mmengine - INFO - Epoch(val) [16][3240/6282] eta: 0:07:24 time: 0.1442 data_time: 0.0817 memory: 2934 2023/03/11 07:39:13 - mmengine - INFO - Epoch(val) [16][3260/6282] eta: 0:07:22 time: 0.1618 data_time: 0.1023 memory: 2934 2023/03/11 07:39:15 - mmengine - INFO - Epoch(val) [16][3280/6282] eta: 0:07:19 time: 0.1363 data_time: 0.0736 memory: 2934 2023/03/11 07:39:19 - mmengine - INFO - Epoch(val) [16][3300/6282] eta: 0:07:16 time: 0.1600 data_time: 0.0939 memory: 2934 2023/03/11 07:39:21 - mmengine - INFO - Epoch(val) [16][3320/6282] eta: 0:07:13 time: 0.1299 data_time: 0.0645 memory: 2934 2023/03/11 07:39:24 - mmengine - INFO - Epoch(val) [16][3340/6282] eta: 0:07:10 time: 0.1481 data_time: 0.0809 memory: 2934 2023/03/11 07:39:27 - mmengine - INFO - Epoch(val) [16][3360/6282] eta: 0:07:07 time: 0.1425 data_time: 0.0805 memory: 2934 2023/03/11 07:39:30 - mmengine - INFO - Epoch(val) [16][3380/6282] eta: 0:07:04 time: 0.1312 data_time: 0.0762 memory: 2934 2023/03/11 07:39:33 - mmengine - INFO - Epoch(val) [16][3400/6282] eta: 0:07:01 time: 0.1483 data_time: 0.0959 memory: 2396 2023/03/11 07:39:35 - mmengine - INFO - Epoch(val) [16][3420/6282] eta: 0:06:58 time: 0.1326 data_time: 0.0822 memory: 2396 2023/03/11 07:39:38 - mmengine - INFO - Epoch(val) [16][3440/6282] eta: 0:06:55 time: 0.1420 data_time: 0.0868 memory: 2396 2023/03/11 07:39:41 - mmengine - INFO - Epoch(val) [16][3460/6282] eta: 0:06:52 time: 0.1448 data_time: 0.0999 memory: 2396 2023/03/11 07:39:44 - mmengine - INFO - Epoch(val) [16][3480/6282] eta: 0:06:49 time: 0.1313 data_time: 0.0864 memory: 2396 2023/03/11 07:39:46 - mmengine - INFO - Epoch(val) [16][3500/6282] eta: 0:06:45 time: 0.1300 data_time: 0.0851 memory: 2396 2023/03/11 07:39:49 - mmengine - INFO - Epoch(val) [16][3520/6282] eta: 0:06:42 time: 0.1337 data_time: 0.0889 memory: 2396 2023/03/11 07:39:52 - mmengine - INFO - Epoch(val) [16][3540/6282] eta: 0:06:39 time: 0.1237 data_time: 0.0788 memory: 2396 2023/03/11 07:39:54 - mmengine - INFO - Epoch(val) [16][3560/6282] eta: 0:06:36 time: 0.1443 data_time: 0.0994 memory: 2396 2023/03/11 07:39:57 - mmengine - INFO - Epoch(val) [16][3580/6282] eta: 0:06:33 time: 0.1132 data_time: 0.0621 memory: 2765 2023/03/11 07:40:00 - mmengine - INFO - Epoch(val) [16][3600/6282] eta: 0:06:30 time: 0.1560 data_time: 0.1013 memory: 2765 2023/03/11 07:40:02 - mmengine - INFO - Epoch(val) [16][3620/6282] eta: 0:06:27 time: 0.1317 data_time: 0.0770 memory: 2765 2023/03/11 07:40:05 - mmengine - INFO - Epoch(val) [16][3640/6282] eta: 0:06:24 time: 0.1456 data_time: 0.0909 memory: 2765 2023/03/11 07:40:08 - mmengine - INFO - Epoch(val) [16][3660/6282] eta: 0:06:21 time: 0.1233 data_time: 0.0683 memory: 2765 2023/03/11 07:40:11 - mmengine - INFO - Epoch(val) [16][3680/6282] eta: 0:06:18 time: 0.1673 data_time: 0.1035 memory: 2934 2023/03/11 07:40:14 - mmengine - INFO - Epoch(val) [16][3700/6282] eta: 0:06:15 time: 0.1356 data_time: 0.0745 memory: 2934 2023/03/11 07:40:17 - mmengine - INFO - Epoch(val) [16][3720/6282] eta: 0:06:12 time: 0.1639 data_time: 0.1042 memory: 2934 2023/03/11 07:40:20 - mmengine - INFO - Epoch(val) [16][3740/6282] eta: 0:06:09 time: 0.1341 data_time: 0.0694 memory: 2934 2023/03/11 07:40:23 - mmengine - INFO - Epoch(val) [16][3760/6282] eta: 0:06:07 time: 0.1628 data_time: 0.0991 memory: 2934 2023/03/11 07:40:26 - mmengine - INFO - Epoch(val) [16][3780/6282] eta: 0:06:03 time: 0.1312 data_time: 0.0714 memory: 2934 2023/03/11 07:40:30 - mmengine - INFO - Epoch(val) [16][3800/6282] eta: 0:06:01 time: 0.2157 data_time: 0.1558 memory: 2934 2023/03/11 07:40:33 - mmengine - INFO - Epoch(val) [16][3820/6282] eta: 0:05:58 time: 0.1340 data_time: 0.0742 memory: 2934 2023/03/11 07:40:36 - mmengine - INFO - Epoch(val) [16][3840/6282] eta: 0:05:56 time: 0.1533 data_time: 0.0888 memory: 2934 2023/03/11 07:40:38 - mmengine - INFO - Epoch(val) [16][3860/6282] eta: 0:05:52 time: 0.1290 data_time: 0.0656 memory: 2934 2023/03/11 07:40:42 - mmengine - INFO - Epoch(val) [16][3880/6282] eta: 0:05:50 time: 0.1637 data_time: 0.0986 memory: 2934 2023/03/11 07:40:45 - mmengine - INFO - Epoch(val) [16][3900/6282] eta: 0:05:47 time: 0.1426 data_time: 0.0801 memory: 2934 2023/03/11 07:40:48 - mmengine - INFO - Epoch(val) [16][3920/6282] eta: 0:05:44 time: 0.1499 data_time: 0.0894 memory: 2934 2023/03/11 07:40:50 - mmengine - INFO - Epoch(val) [16][3940/6282] eta: 0:05:41 time: 0.1338 data_time: 0.0668 memory: 2934 2023/03/11 07:40:54 - mmengine - INFO - Epoch(val) [16][3960/6282] eta: 0:05:38 time: 0.1616 data_time: 0.1021 memory: 2934 2023/03/11 07:40:57 - mmengine - INFO - Epoch(val) [16][3980/6282] eta: 0:05:35 time: 0.1588 data_time: 0.0965 memory: 2934 2023/03/11 07:41:00 - mmengine - INFO - Epoch(val) [16][4000/6282] eta: 0:05:33 time: 0.1706 data_time: 0.1038 memory: 2934 2023/03/11 07:41:03 - mmengine - INFO - Epoch(val) [16][4020/6282] eta: 0:05:30 time: 0.1285 data_time: 0.0691 memory: 2934 2023/03/11 07:41:06 - mmengine - INFO - Epoch(val) [16][4040/6282] eta: 0:05:27 time: 0.1489 data_time: 0.0863 memory: 3842 2023/03/11 07:41:08 - mmengine - INFO - Epoch(val) [16][4060/6282] eta: 0:05:24 time: 0.1322 data_time: 0.0511 memory: 3842 2023/03/11 07:41:11 - mmengine - INFO - Epoch(val) [16][4080/6282] eta: 0:05:21 time: 0.1516 data_time: 0.0663 memory: 3842 2023/03/11 07:41:14 - mmengine - INFO - Epoch(val) [16][4100/6282] eta: 0:05:18 time: 0.1326 data_time: 0.0433 memory: 3842 2023/03/11 07:41:17 - mmengine - INFO - Epoch(val) [16][4120/6282] eta: 0:05:15 time: 0.1370 data_time: 0.0485 memory: 3842 2023/03/11 07:41:19 - mmengine - INFO - Epoch(val) [16][4140/6282] eta: 0:05:12 time: 0.1139 data_time: 0.0425 memory: 3842 2023/03/11 07:41:23 - mmengine - INFO - Epoch(val) [16][4160/6282] eta: 0:05:09 time: 0.1702 data_time: 0.1209 memory: 2396 2023/03/11 07:41:25 - mmengine - INFO - Epoch(val) [16][4180/6282] eta: 0:05:06 time: 0.1227 data_time: 0.0732 memory: 2396 2023/03/11 07:41:28 - mmengine - INFO - Epoch(val) [16][4200/6282] eta: 0:05:03 time: 0.1659 data_time: 0.1210 memory: 2396 2023/03/11 07:41:31 - mmengine - INFO - Epoch(val) [16][4220/6282] eta: 0:05:00 time: 0.1286 data_time: 0.0836 memory: 2396 2023/03/11 07:41:34 - mmengine - INFO - Epoch(val) [16][4240/6282] eta: 0:04:57 time: 0.1551 data_time: 0.1040 memory: 2396 2023/03/11 07:41:37 - mmengine - INFO - Epoch(val) [16][4260/6282] eta: 0:04:54 time: 0.1312 data_time: 0.0769 memory: 2396 2023/03/11 07:41:40 - mmengine - INFO - Epoch(val) [16][4280/6282] eta: 0:04:51 time: 0.1497 data_time: 0.0973 memory: 2396 2023/03/11 07:41:42 - mmengine - INFO - Epoch(val) [16][4300/6282] eta: 0:04:48 time: 0.1224 data_time: 0.0760 memory: 2396 2023/03/11 07:41:45 - mmengine - INFO - Epoch(val) [16][4320/6282] eta: 0:04:45 time: 0.1574 data_time: 0.1126 memory: 2396 2023/03/11 07:41:48 - mmengine - INFO - Epoch(val) [16][4340/6282] eta: 0:04:42 time: 0.1185 data_time: 0.0736 memory: 2396 2023/03/11 07:41:51 - mmengine - INFO - Epoch(val) [16][4360/6282] eta: 0:04:39 time: 0.1610 data_time: 0.1015 memory: 2934 2023/03/11 07:41:53 - mmengine - INFO - Epoch(val) [16][4380/6282] eta: 0:04:36 time: 0.1190 data_time: 0.0596 memory: 2934 2023/03/11 07:41:56 - mmengine - INFO - Epoch(val) [16][4400/6282] eta: 0:04:33 time: 0.1594 data_time: 0.0968 memory: 2934 2023/03/11 07:41:59 - mmengine - INFO - Epoch(val) [16][4420/6282] eta: 0:04:30 time: 0.1232 data_time: 0.0524 memory: 2934 2023/03/11 07:42:02 - mmengine - INFO - Epoch(val) [16][4440/6282] eta: 0:04:28 time: 0.1776 data_time: 0.1146 memory: 3023 2023/03/11 07:42:05 - mmengine - INFO - Epoch(val) [16][4460/6282] eta: 0:04:25 time: 0.1252 data_time: 0.0634 memory: 3023 2023/03/11 07:42:08 - mmengine - INFO - Epoch(val) [16][4480/6282] eta: 0:04:22 time: 0.1535 data_time: 0.0916 memory: 3023 2023/03/11 07:42:11 - mmengine - INFO - Epoch(val) [16][4500/6282] eta: 0:04:19 time: 0.1313 data_time: 0.0646 memory: 3023 2023/03/11 07:42:14 - mmengine - INFO - Epoch(val) [16][4520/6282] eta: 0:04:16 time: 0.1709 data_time: 0.1130 memory: 3023 2023/03/11 07:42:17 - mmengine - INFO - Epoch(val) [16][4540/6282] eta: 0:04:13 time: 0.1239 data_time: 0.0779 memory: 2464 2023/03/11 07:42:20 - mmengine - INFO - Epoch(val) [16][4560/6282] eta: 0:04:10 time: 0.1762 data_time: 0.1246 memory: 2464 2023/03/11 07:42:23 - mmengine - INFO - Epoch(val) [16][4580/6282] eta: 0:04:07 time: 0.1334 data_time: 0.0875 memory: 2464 2023/03/11 07:42:26 - mmengine - INFO - Epoch(val) [16][4600/6282] eta: 0:04:04 time: 0.1493 data_time: 0.1032 memory: 2464 2023/03/11 07:42:28 - mmengine - INFO - Epoch(val) [16][4620/6282] eta: 0:04:01 time: 0.1206 data_time: 0.0746 memory: 2464 2023/03/11 07:42:32 - mmengine - INFO - Epoch(val) [16][4640/6282] eta: 0:03:58 time: 0.1660 data_time: 0.1037 memory: 3023 2023/03/11 07:42:34 - mmengine - INFO - Epoch(val) [16][4660/6282] eta: 0:03:55 time: 0.1306 data_time: 0.0659 memory: 3023 2023/03/11 07:42:37 - mmengine - INFO - Epoch(val) [16][4680/6282] eta: 0:03:53 time: 0.1501 data_time: 0.0832 memory: 3023 2023/03/11 07:42:40 - mmengine - INFO - Epoch(val) [16][4700/6282] eta: 0:03:50 time: 0.1231 data_time: 0.0519 memory: 3023 2023/03/11 07:42:43 - mmengine - INFO - Epoch(val) [16][4720/6282] eta: 0:03:47 time: 0.1584 data_time: 0.0954 memory: 3023 2023/03/11 07:42:45 - mmengine - INFO - Epoch(val) [16][4740/6282] eta: 0:03:44 time: 0.1167 data_time: 0.0677 memory: 2609 2023/03/11 07:42:48 - mmengine - INFO - Epoch(val) [16][4760/6282] eta: 0:03:41 time: 0.1568 data_time: 0.1078 memory: 2609 2023/03/11 07:42:51 - mmengine - INFO - Epoch(val) [16][4780/6282] eta: 0:03:38 time: 0.1216 data_time: 0.0724 memory: 2609 2023/03/11 07:42:54 - mmengine - INFO - Epoch(val) [16][4800/6282] eta: 0:03:35 time: 0.1467 data_time: 0.0975 memory: 2609 2023/03/11 07:42:56 - mmengine - INFO - Epoch(val) [16][4820/6282] eta: 0:03:32 time: 0.1219 data_time: 0.0695 memory: 2934 2023/03/11 07:43:00 - mmengine - INFO - Epoch(val) [16][4840/6282] eta: 0:03:29 time: 0.1697 data_time: 0.1100 memory: 2934 2023/03/11 07:43:02 - mmengine - INFO - Epoch(val) [16][4860/6282] eta: 0:03:26 time: 0.1354 data_time: 0.0756 memory: 2934 2023/03/11 07:43:06 - mmengine - INFO - Epoch(val) [16][4880/6282] eta: 0:03:23 time: 0.1623 data_time: 0.1027 memory: 2934 2023/03/11 07:43:08 - mmengine - INFO - Epoch(val) [16][4900/6282] eta: 0:03:20 time: 0.1249 data_time: 0.0656 memory: 2934 2023/03/11 07:43:11 - mmengine - INFO - Epoch(val) [16][4920/6282] eta: 0:03:17 time: 0.1476 data_time: 0.0878 memory: 2934 2023/03/11 07:43:14 - mmengine - INFO - Epoch(val) [16][4940/6282] eta: 0:03:14 time: 0.1433 data_time: 0.0788 memory: 2934 2023/03/11 07:43:17 - mmengine - INFO - Epoch(val) [16][4960/6282] eta: 0:03:12 time: 0.1547 data_time: 0.0891 memory: 2934 2023/03/11 07:43:19 - mmengine - INFO - Epoch(val) [16][4980/6282] eta: 0:03:09 time: 0.1248 data_time: 0.0652 memory: 2934 2023/03/11 07:43:23 - mmengine - INFO - Epoch(val) [16][5000/6282] eta: 0:03:06 time: 0.1829 data_time: 0.1209 memory: 2934 2023/03/11 07:43:26 - mmengine - INFO - Epoch(val) [16][5020/6282] eta: 0:03:03 time: 0.1215 data_time: 0.0627 memory: 2934 2023/03/11 07:43:29 - mmengine - INFO - Epoch(val) [16][5040/6282] eta: 0:03:00 time: 0.1595 data_time: 0.1111 memory: 2397 2023/03/11 07:43:31 - mmengine - INFO - Epoch(val) [16][5060/6282] eta: 0:02:57 time: 0.1205 data_time: 0.0754 memory: 2397 2023/03/11 07:43:34 - mmengine - INFO - Epoch(val) [16][5080/6282] eta: 0:02:54 time: 0.1567 data_time: 0.1114 memory: 2397 2023/03/11 07:43:38 - mmengine - INFO - Epoch(val) [16][5100/6282] eta: 0:02:51 time: 0.1701 data_time: 0.1226 memory: 2397 2023/03/11 07:43:41 - mmengine - INFO - Epoch(val) [16][5120/6282] eta: 0:02:49 time: 0.1704 data_time: 0.1253 memory: 2397 2023/03/11 07:43:44 - mmengine - INFO - Epoch(val) [16][5140/6282] eta: 0:02:46 time: 0.1244 data_time: 0.0794 memory: 2396 2023/03/11 07:43:47 - mmengine - INFO - Epoch(val) [16][5160/6282] eta: 0:02:43 time: 0.1528 data_time: 0.1077 memory: 2396 2023/03/11 07:43:49 - mmengine - INFO - Epoch(val) [16][5180/6282] eta: 0:02:40 time: 0.1270 data_time: 0.0749 memory: 2396 2023/03/11 07:43:52 - mmengine - INFO - Epoch(val) [16][5200/6282] eta: 0:02:37 time: 0.1474 data_time: 0.0989 memory: 2396 2023/03/11 07:43:55 - mmengine - INFO - Epoch(val) [16][5220/6282] eta: 0:02:34 time: 0.1221 data_time: 0.0710 memory: 2396 2023/03/11 07:43:58 - mmengine - INFO - Epoch(val) [16][5240/6282] eta: 0:02:31 time: 0.1573 data_time: 0.1027 memory: 2396 2023/03/11 07:44:00 - mmengine - INFO - Epoch(val) [16][5260/6282] eta: 0:02:28 time: 0.1098 data_time: 0.0580 memory: 2396 2023/03/11 07:44:03 - mmengine - INFO - Epoch(val) [16][5280/6282] eta: 0:02:25 time: 0.1686 data_time: 0.1236 memory: 2396 2023/03/11 07:44:06 - mmengine - INFO - Epoch(val) [16][5300/6282] eta: 0:02:22 time: 0.1256 data_time: 0.0806 memory: 2396 2023/03/11 07:44:09 - mmengine - INFO - Epoch(val) [16][5320/6282] eta: 0:02:19 time: 0.1671 data_time: 0.1222 memory: 2396 2023/03/11 07:44:12 - mmengine - INFO - Epoch(val) [16][5340/6282] eta: 0:02:16 time: 0.1161 data_time: 0.0712 memory: 2396 2023/03/11 07:44:15 - mmengine - INFO - Epoch(val) [16][5360/6282] eta: 0:02:13 time: 0.1586 data_time: 0.1085 memory: 2396 2023/03/11 07:44:17 - mmengine - INFO - Epoch(val) [16][5380/6282] eta: 0:02:10 time: 0.1254 data_time: 0.0692 memory: 2396 2023/03/11 07:44:21 - mmengine - INFO - Epoch(val) [16][5400/6282] eta: 0:02:08 time: 0.1603 data_time: 0.1109 memory: 2396 2023/03/11 07:44:23 - mmengine - INFO - Epoch(val) [16][5420/6282] eta: 0:02:05 time: 0.1339 data_time: 0.0889 memory: 2396 2023/03/11 07:44:26 - mmengine - INFO - Epoch(val) [16][5440/6282] eta: 0:02:02 time: 0.1509 data_time: 0.1059 memory: 2396 2023/03/11 07:44:29 - mmengine - INFO - Epoch(val) [16][5460/6282] eta: 0:01:59 time: 0.1321 data_time: 0.0847 memory: 2396 2023/03/11 07:44:32 - mmengine - INFO - Epoch(val) [16][5480/6282] eta: 0:01:56 time: 0.1582 data_time: 0.1058 memory: 2396 2023/03/11 07:44:34 - mmengine - INFO - Epoch(val) [16][5500/6282] eta: 0:01:53 time: 0.1188 data_time: 0.0734 memory: 2396 2023/03/11 07:44:38 - mmengine - INFO - Epoch(val) [16][5520/6282] eta: 0:01:50 time: 0.1529 data_time: 0.1043 memory: 2608 2023/03/11 07:44:40 - mmengine - INFO - Epoch(val) [16][5540/6282] eta: 0:01:47 time: 0.1208 data_time: 0.0715 memory: 2608 2023/03/11 07:44:43 - mmengine - INFO - Epoch(val) [16][5560/6282] eta: 0:01:44 time: 0.1644 data_time: 0.1151 memory: 2608 2023/03/11 07:44:46 - mmengine - INFO - Epoch(val) [16][5580/6282] eta: 0:01:41 time: 0.1234 data_time: 0.0741 memory: 2608 2023/03/11 07:44:49 - mmengine - INFO - Epoch(val) [16][5600/6282] eta: 0:01:38 time: 0.1604 data_time: 0.1060 memory: 2608 2023/03/11 07:44:51 - mmengine - INFO - Epoch(val) [16][5620/6282] eta: 0:01:35 time: 0.1157 data_time: 0.0621 memory: 2608 2023/03/11 07:44:55 - mmengine - INFO - Epoch(val) [16][5640/6282] eta: 0:01:33 time: 0.1671 data_time: 0.1164 memory: 2396 2023/03/11 07:44:57 - mmengine - INFO - Epoch(val) [16][5660/6282] eta: 0:01:30 time: 0.1247 data_time: 0.0799 memory: 2396 2023/03/11 07:45:00 - mmengine - INFO - Epoch(val) [16][5680/6282] eta: 0:01:27 time: 0.1661 data_time: 0.1212 memory: 2396 2023/03/11 07:45:03 - mmengine - INFO - Epoch(val) [16][5700/6282] eta: 0:01:24 time: 0.1477 data_time: 0.1029 memory: 2396 2023/03/11 07:45:06 - mmengine - INFO - Epoch(val) [16][5720/6282] eta: 0:01:21 time: 0.1522 data_time: 0.1036 memory: 2686 2023/03/11 07:45:09 - mmengine - INFO - Epoch(val) [16][5740/6282] eta: 0:01:18 time: 0.1202 data_time: 0.0673 memory: 2686 2023/03/11 07:45:12 - mmengine - INFO - Epoch(val) [16][5760/6282] eta: 0:01:15 time: 0.1522 data_time: 0.0990 memory: 2686 2023/03/11 07:45:14 - mmengine - INFO - Epoch(val) [16][5780/6282] eta: 0:01:12 time: 0.1217 data_time: 0.0687 memory: 2686 2023/03/11 07:45:17 - mmengine - INFO - Epoch(val) [16][5800/6282] eta: 0:01:09 time: 0.1351 data_time: 0.0777 memory: 2686 2023/03/11 07:45:19 - mmengine - INFO - Epoch(val) [16][5820/6282] eta: 0:01:06 time: 0.1182 data_time: 0.0670 memory: 2686 2023/03/11 07:45:23 - mmengine - INFO - Epoch(val) [16][5840/6282] eta: 0:01:04 time: 0.1715 data_time: 0.1222 memory: 2608 2023/03/11 07:45:25 - mmengine - INFO - Epoch(val) [16][5860/6282] eta: 0:01:01 time: 0.1154 data_time: 0.0662 memory: 2608 2023/03/11 07:45:28 - mmengine - INFO - Epoch(val) [16][5880/6282] eta: 0:00:58 time: 0.1525 data_time: 0.1030 memory: 2608 2023/03/11 07:45:31 - mmengine - INFO - Epoch(val) [16][5900/6282] eta: 0:00:55 time: 0.1155 data_time: 0.0664 memory: 2608 2023/03/11 07:45:34 - mmengine - INFO - Epoch(val) [16][5920/6282] eta: 0:00:52 time: 0.1499 data_time: 0.1033 memory: 2608 2023/03/11 07:45:36 - mmengine - INFO - Epoch(val) [16][5940/6282] eta: 0:00:49 time: 0.1121 data_time: 0.0673 memory: 2396 2023/03/11 07:45:39 - mmengine - INFO - Epoch(val) [16][5960/6282] eta: 0:00:46 time: 0.1500 data_time: 0.1049 memory: 2396 2023/03/11 07:45:42 - mmengine - INFO - Epoch(val) [16][5980/6282] eta: 0:00:43 time: 0.1378 data_time: 0.0891 memory: 2396 2023/03/11 07:45:45 - mmengine - INFO - Epoch(val) [16][6000/6282] eta: 0:00:40 time: 0.1628 data_time: 0.0998 memory: 2934 2023/03/11 07:45:47 - mmengine - INFO - Epoch(val) [16][6020/6282] eta: 0:00:37 time: 0.1231 data_time: 0.0634 memory: 2934 2023/03/11 07:45:50 - mmengine - INFO - Epoch(val) [16][6040/6282] eta: 0:00:34 time: 0.1514 data_time: 0.0919 memory: 2934 2023/03/11 07:45:53 - mmengine - INFO - Epoch(val) [16][6060/6282] eta: 0:00:32 time: 0.1288 data_time: 0.0691 memory: 2934 2023/03/11 07:45:56 - mmengine - INFO - Epoch(val) [16][6080/6282] eta: 0:00:29 time: 0.1595 data_time: 0.0997 memory: 2934 2023/03/11 07:45:59 - mmengine - INFO - Epoch(val) [16][6100/6282] eta: 0:00:26 time: 0.1269 data_time: 0.0611 memory: 2934 2023/03/11 07:46:02 - mmengine - INFO - Epoch(val) [16][6120/6282] eta: 0:00:23 time: 0.1698 data_time: 0.1071 memory: 2934 2023/03/11 07:46:05 - mmengine - INFO - Epoch(val) [16][6140/6282] eta: 0:00:20 time: 0.1395 data_time: 0.0767 memory: 2934 2023/03/11 07:46:08 - mmengine - INFO - Epoch(val) [16][6160/6282] eta: 0:00:17 time: 0.1659 data_time: 0.0982 memory: 2934 2023/03/11 07:46:11 - mmengine - INFO - Epoch(val) [16][6180/6282] eta: 0:00:14 time: 0.1284 data_time: 0.0685 memory: 2934 2023/03/11 07:46:14 - mmengine - INFO - Epoch(val) [16][6200/6282] eta: 0:00:11 time: 0.1623 data_time: 0.1028 memory: 2934 2023/03/11 07:46:16 - mmengine - INFO - Epoch(val) [16][6220/6282] eta: 0:00:08 time: 0.1113 data_time: 0.0520 memory: 2934 2023/03/11 07:46:19 - mmengine - INFO - Epoch(val) [16][6240/6282] eta: 0:00:06 time: 0.1512 data_time: 0.0919 memory: 2934 2023/03/11 07:46:22 - mmengine - INFO - Epoch(val) [16][6260/6282] eta: 0:00:03 time: 0.1202 data_time: 0.0608 memory: 2934 2023/03/11 07:46:23 - mmengine - INFO - Epoch(val) [16][6280/6282] eta: 0:00:00 time: 0.0609 data_time: 0.0019 memory: 2934 2023/03/11 07:48:34 - mmengine - INFO - Epoch(val) [16][6282/6282] mAP/mAP@0.5IOU: 0.3369 2023/03/11 07:49:27 - mmengine - INFO - Epoch(train) [17][ 20/4451] lr: 4.9030e-07 eta: 3:24:17 time: 2.6453 data_time: 1.7084 memory: 51970 grad_norm: 0.1387 loss: 0.0311 recall@thr=0.5: 0.8558 prec@thr=0.5: 0.8558 recall@top3: 0.8268 prec@top3: 0.8261 recall@top5: 0.9891 prec@top5: 0.6261 loss_action_cls: 0.0311 2023/03/11 07:50:00 - mmengine - INFO - Epoch(train) [17][ 40/4451] lr: 4.8926e-07 eta: 3:24:08 time: 1.6281 data_time: 0.8161 memory: 51970 grad_norm: 0.1347 loss: 0.0292 recall@thr=0.5: 0.9271 prec@thr=0.5: 0.9583 recall@top3: 0.9375 prec@top3: 0.8125 recall@top5: 1.0000 prec@top5: 0.5375 loss_action_cls: 0.0292 2023/03/11 07:50:45 - mmengine - INFO - Epoch(train) [17][ 60/4451] lr: 4.8822e-07 eta: 3:24:02 time: 2.2600 data_time: 1.1450 memory: 51970 grad_norm: 0.1342 loss: 0.0309 recall@thr=0.5: 0.8254 prec@thr=0.5: 0.7937 recall@top3: 0.8730 prec@top3: 0.7143 recall@top5: 1.0000 prec@top5: 0.4952 loss_action_cls: 0.0309 2023/03/11 07:51:16 - mmengine - INFO - Epoch(train) [17][ 80/4451] lr: 4.8719e-07 eta: 3:23:52 time: 1.5603 data_time: 0.7100 memory: 51970 grad_norm: 0.1448 loss: 0.0277 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.6944 recall@top3: 0.9008 prec@top3: 0.5397 recall@top5: 0.9643 prec@top5: 0.3619 loss_action_cls: 0.0277 2023/03/11 07:52:03 - mmengine - INFO - Epoch(train) [17][ 100/4451] lr: 4.8615e-07 eta: 3:23:47 time: 2.3554 data_time: 1.3250 memory: 51970 grad_norm: 0.1393 loss: 0.0259 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8333 recall@top3: 0.9091 prec@top3: 0.6212 recall@top5: 0.9697 prec@top5: 0.4091 loss_action_cls: 0.0259 2023/03/11 07:52:32 - mmengine - INFO - Epoch(train) [17][ 120/4451] lr: 4.8512e-07 eta: 3:23:37 time: 1.4486 data_time: 0.7941 memory: 51970 grad_norm: 0.1342 loss: 0.0316 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.6883 recall@top3: 0.9333 prec@top3: 0.7000 recall@top5: 0.9667 prec@top5: 0.4400 loss_action_cls: 0.0316 2023/03/11 07:53:17 - mmengine - INFO - Epoch(train) [17][ 140/4451] lr: 4.8409e-07 eta: 3:23:30 time: 2.2257 data_time: 1.3782 memory: 51970 grad_norm: 0.1422 loss: 0.0308 recall@thr=0.5: 0.6795 prec@thr=0.5: 0.7273 recall@top3: 0.7477 prec@top3: 0.4697 recall@top5: 0.8114 prec@top5: 0.3273 loss_action_cls: 0.0308 2023/03/11 07:53:53 - mmengine - INFO - Epoch(train) [17][ 160/4451] lr: 4.8306e-07 eta: 3:23:22 time: 1.8174 data_time: 0.6312 memory: 51970 grad_norm: 0.1398 loss: 0.0309 recall@thr=0.5: 0.7674 prec@thr=0.5: 0.7292 recall@top3: 0.8160 prec@top3: 0.5000 recall@top5: 0.9514 prec@top5: 0.3750 loss_action_cls: 0.0309 2023/03/11 07:54:34 - mmengine - INFO - Epoch(train) [17][ 180/4451] lr: 4.8203e-07 eta: 3:23:15 time: 2.0606 data_time: 0.1268 memory: 51970 grad_norm: 0.1318 loss: 0.0286 recall@thr=0.5: 0.7190 prec@thr=0.5: 0.7381 recall@top3: 0.8270 prec@top3: 0.6825 recall@top5: 0.8778 prec@top5: 0.4476 loss_action_cls: 0.0286 2023/03/11 07:55:09 - mmengine - INFO - Epoch(train) [17][ 200/4451] lr: 4.8100e-07 eta: 3:23:06 time: 1.7395 data_time: 0.1296 memory: 51970 grad_norm: 0.1371 loss: 0.0307 recall@thr=0.5: 0.7400 prec@thr=0.5: 0.8000 recall@top3: 0.8400 prec@top3: 0.6667 recall@top5: 0.9600 prec@top5: 0.4880 loss_action_cls: 0.0307 2023/03/11 07:55:53 - mmengine - INFO - Epoch(train) [17][ 220/4451] lr: 4.7997e-07 eta: 3:23:00 time: 2.1986 data_time: 0.0166 memory: 51970 grad_norm: 0.1331 loss: 0.0285 recall@thr=0.5: 0.5652 prec@thr=0.5: 0.5652 recall@top3: 0.8913 prec@top3: 0.5652 recall@top5: 0.9565 prec@top5: 0.3739 loss_action_cls: 0.0285 2023/03/11 07:56:26 - mmengine - INFO - Epoch(train) [17][ 240/4451] lr: 4.7894e-07 eta: 3:22:51 time: 1.6582 data_time: 0.0120 memory: 51970 grad_norm: 0.1419 loss: 0.0274 recall@thr=0.5: 0.7368 prec@thr=0.5: 0.6667 recall@top3: 0.7982 prec@top3: 0.5965 recall@top5: 0.9561 prec@top5: 0.4316 loss_action_cls: 0.0274 2023/03/11 07:57:07 - mmengine - INFO - Epoch(train) [17][ 260/4451] lr: 4.7791e-07 eta: 3:22:43 time: 2.0154 data_time: 0.0147 memory: 51970 grad_norm: 0.1361 loss: 0.0289 recall@thr=0.5: 0.5667 prec@thr=0.5: 0.7333 recall@top3: 0.8111 prec@top3: 0.5333 recall@top5: 0.8667 prec@top5: 0.3600 loss_action_cls: 0.0289 2023/03/11 07:57:38 - mmengine - INFO - Epoch(train) [17][ 280/4451] lr: 4.7688e-07 eta: 3:22:34 time: 1.5459 data_time: 0.0128 memory: 51970 grad_norm: 0.1345 loss: 0.0287 recall@thr=0.5: 0.7210 prec@thr=0.5: 0.7609 recall@top3: 0.8043 prec@top3: 0.5942 recall@top5: 0.9783 prec@top5: 0.4435 loss_action_cls: 0.0287 2023/03/11 07:58:22 - mmengine - INFO - Epoch(train) [17][ 300/4451] lr: 4.7586e-07 eta: 3:22:27 time: 2.2383 data_time: 0.0157 memory: 51970 grad_norm: 0.1331 loss: 0.0315 recall@thr=0.5: 0.7821 prec@thr=0.5: 0.8269 recall@top3: 0.8846 prec@top3: 0.7051 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0315 2023/03/11 07:58:59 - mmengine - INFO - Epoch(train) [17][ 320/4451] lr: 4.7483e-07 eta: 3:22:19 time: 1.8164 data_time: 0.0222 memory: 51970 grad_norm: 0.1408 loss: 0.0272 recall@thr=0.5: 0.7736 prec@thr=0.5: 0.8161 recall@top3: 0.8920 prec@top3: 0.8046 recall@top5: 1.0000 prec@top5: 0.5655 loss_action_cls: 0.0272 2023/03/11 07:59:43 - mmengine - INFO - Epoch(train) [17][ 340/4451] lr: 4.7381e-07 eta: 3:22:13 time: 2.2067 data_time: 0.0143 memory: 51970 grad_norm: 0.1371 loss: 0.0291 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8000 recall@top3: 0.9167 prec@top3: 0.5500 recall@top5: 0.9583 prec@top5: 0.3600 loss_action_cls: 0.0291 2023/03/11 08:00:16 - mmengine - INFO - Epoch(train) [17][ 360/4451] lr: 4.7279e-07 eta: 3:22:03 time: 1.6768 data_time: 0.0269 memory: 51970 grad_norm: 0.1383 loss: 0.0310 recall@thr=0.5: 0.7014 prec@thr=0.5: 0.7500 recall@top3: 0.7674 prec@top3: 0.5000 recall@top5: 0.9410 prec@top5: 0.3833 loss_action_cls: 0.0310 2023/03/11 08:00:55 - mmengine - INFO - Epoch(train) [17][ 380/4451] lr: 4.7177e-07 eta: 3:21:55 time: 1.9229 data_time: 0.0640 memory: 51970 grad_norm: 0.1357 loss: 0.0272 recall@thr=0.5: 0.7619 prec@thr=0.5: 0.8810 recall@top3: 0.9524 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0272 2023/03/11 08:01:30 - mmengine - INFO - Epoch(train) [17][ 400/4451] lr: 4.7074e-07 eta: 3:21:47 time: 1.7494 data_time: 0.0886 memory: 51970 grad_norm: 0.1413 loss: 0.0292 recall@thr=0.5: 0.9048 prec@thr=0.5: 0.8929 recall@top3: 1.0000 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.3571 loss_action_cls: 0.0292 2023/03/11 08:02:14 - mmengine - INFO - Epoch(train) [17][ 420/4451] lr: 4.6972e-07 eta: 3:21:40 time: 2.2307 data_time: 0.0140 memory: 51970 grad_norm: 0.1336 loss: 0.0289 recall@thr=0.5: 0.7609 prec@thr=0.5: 0.8007 recall@top3: 0.8370 prec@top3: 0.7246 recall@top5: 0.9638 prec@top5: 0.5217 loss_action_cls: 0.0289 2023/03/11 08:02:47 - mmengine - INFO - Epoch(train) [17][ 440/4451] lr: 4.6870e-07 eta: 3:21:31 time: 1.6496 data_time: 0.1709 memory: 51970 grad_norm: 0.1328 loss: 0.0326 recall@thr=0.5: 0.5595 prec@thr=0.5: 0.6964 recall@top3: 0.7655 prec@top3: 0.6905 recall@top5: 0.9440 prec@top5: 0.5071 loss_action_cls: 0.0326 2023/03/11 08:03:19 - mmengine - INFO - Epoch(train) [17][ 460/4451] lr: 4.6769e-07 eta: 3:21:21 time: 1.5914 data_time: 0.3840 memory: 51970 grad_norm: 0.1431 loss: 0.0339 recall@thr=0.5: 0.9020 prec@thr=0.5: 0.8873 recall@top3: 0.9020 prec@top3: 0.8235 recall@top5: 0.9706 prec@top5: 0.5412 loss_action_cls: 0.0339 2023/03/11 08:03:50 - mmengine - INFO - Epoch(train) [17][ 480/4451] lr: 4.6667e-07 eta: 3:21:11 time: 1.5357 data_time: 0.0315 memory: 51970 grad_norm: 0.1388 loss: 0.0305 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8917 recall@top3: 0.8917 prec@top3: 0.7167 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0305 2023/03/11 08:04:45 - mmengine - INFO - Epoch(train) [17][ 500/4451] lr: 4.6565e-07 eta: 3:21:07 time: 2.7362 data_time: 0.0156 memory: 51970 grad_norm: 0.1385 loss: 0.0287 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.8030 recall@top3: 0.7727 prec@top3: 0.5758 recall@top5: 0.9053 prec@top5: 0.4182 loss_action_cls: 0.0287 2023/03/11 08:05:31 - mmengine - INFO - Epoch(train) [17][ 520/4451] lr: 4.6464e-07 eta: 3:21:01 time: 2.3085 data_time: 0.1965 memory: 51970 grad_norm: 0.1386 loss: 0.0298 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8452 recall@top3: 0.8611 prec@top3: 0.7619 recall@top5: 1.0000 prec@top5: 0.5524 loss_action_cls: 0.0298 2023/03/11 08:06:23 - mmengine - INFO - Epoch(train) [17][ 540/4451] lr: 4.6362e-07 eta: 3:20:56 time: 2.5943 data_time: 0.6484 memory: 51970 grad_norm: 0.1362 loss: 0.0311 recall@thr=0.5: 0.7326 prec@thr=0.5: 0.7556 recall@top3: 0.7951 prec@top3: 0.7222 recall@top5: 0.9410 prec@top5: 0.5250 loss_action_cls: 0.0311 2023/03/11 08:07:14 - mmengine - INFO - Epoch(train) [17][ 560/4451] lr: 4.6261e-07 eta: 3:20:51 time: 2.5406 data_time: 0.8325 memory: 51970 grad_norm: 0.1403 loss: 0.0277 recall@thr=0.5: 0.7700 prec@thr=0.5: 0.8000 recall@top3: 0.8300 prec@top3: 0.7000 recall@top5: 0.9050 prec@top5: 0.4600 loss_action_cls: 0.0277 2023/03/11 08:08:05 - mmengine - INFO - Epoch(train) [17][ 580/4451] lr: 4.6159e-07 eta: 3:20:46 time: 2.5915 data_time: 1.3383 memory: 51970 grad_norm: 0.1323 loss: 0.0299 recall@thr=0.5: 0.8095 prec@thr=0.5: 0.8810 recall@top3: 0.8968 prec@top3: 0.6984 recall@top5: 0.9563 prec@top5: 0.4571 loss_action_cls: 0.0299 2023/03/11 08:08:18 - mmengine - INFO - Epoch(train) [17][ 600/4451] lr: 4.6058e-07 eta: 3:20:32 time: 0.6230 data_time: 0.1395 memory: 51970 grad_norm: 0.1417 loss: 0.0324 recall@thr=0.5: 0.6823 prec@thr=0.5: 0.8229 recall@top3: 0.8177 prec@top3: 0.6354 recall@top5: 0.9896 prec@top5: 0.4812 loss_action_cls: 0.0324 2023/03/11 08:08:31 - mmengine - INFO - Epoch(train) [17][ 620/4451] lr: 4.5957e-07 eta: 3:20:18 time: 0.6660 data_time: 0.1220 memory: 51970 grad_norm: 0.1320 loss: 0.0301 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.6746 recall@top3: 0.8810 prec@top3: 0.4603 recall@top5: 0.9841 prec@top5: 0.3143 loss_action_cls: 0.0301 2023/03/11 08:08:45 - mmengine - INFO - Epoch(train) [17][ 640/4451] lr: 4.5856e-07 eta: 3:20:04 time: 0.7088 data_time: 0.0829 memory: 51970 grad_norm: 0.1297 loss: 0.0311 recall@thr=0.5: 0.7787 prec@thr=0.5: 0.8056 recall@top3: 0.8769 prec@top3: 0.7407 recall@top5: 0.9352 prec@top5: 0.5000 loss_action_cls: 0.0311 2023/03/11 08:08:59 - mmengine - INFO - Epoch(train) [17][ 660/4451] lr: 4.5755e-07 eta: 3:19:50 time: 0.6882 data_time: 0.0129 memory: 51970 grad_norm: 0.1331 loss: 0.0258 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.8781 recall@top3: 0.8596 prec@top3: 0.8596 recall@top5: 0.9737 prec@top5: 0.6000 loss_action_cls: 0.0258 2023/03/11 08:09:11 - mmengine - INFO - Epoch(train) [17][ 680/4451] lr: 4.5654e-07 eta: 3:19:35 time: 0.6098 data_time: 0.0132 memory: 51970 grad_norm: 0.1391 loss: 0.0264 recall@thr=0.5: 0.8772 prec@thr=0.5: 0.8509 recall@top3: 0.8561 prec@top3: 0.6842 recall@top5: 0.9649 prec@top5: 0.4632 loss_action_cls: 0.0264 2023/03/11 08:09:25 - mmengine - INFO - Epoch(train) [17][ 700/4451] lr: 4.5553e-07 eta: 3:19:21 time: 0.6795 data_time: 0.0131 memory: 51970 grad_norm: 0.1386 loss: 0.0306 recall@thr=0.5: 0.6961 prec@thr=0.5: 0.6618 recall@top3: 0.8824 prec@top3: 0.4706 recall@top5: 0.9412 prec@top5: 0.3059 loss_action_cls: 0.0306 2023/03/11 08:09:37 - mmengine - INFO - Epoch(train) [17][ 720/4451] lr: 4.5453e-07 eta: 3:19:07 time: 0.5972 data_time: 0.0114 memory: 51970 grad_norm: 0.1332 loss: 0.0272 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8500 recall@top3: 0.9125 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0272 2023/03/11 08:09:50 - mmengine - INFO - Epoch(train) [17][ 740/4451] lr: 4.5352e-07 eta: 3:18:53 time: 0.6417 data_time: 0.0139 memory: 51970 grad_norm: 0.1369 loss: 0.0298 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7619 recall@top3: 0.8690 prec@top3: 0.5873 recall@top5: 0.9683 prec@top5: 0.4000 loss_action_cls: 0.0298 2023/03/11 08:10:02 - mmengine - INFO - Epoch(train) [17][ 760/4451] lr: 4.5252e-07 eta: 3:18:38 time: 0.5929 data_time: 0.0122 memory: 51970 grad_norm: 0.1369 loss: 0.0299 recall@thr=0.5: 0.6810 prec@thr=0.5: 0.7241 recall@top3: 0.8247 prec@top3: 0.6667 recall@top5: 0.9569 prec@top5: 0.4690 loss_action_cls: 0.0299 2023/03/11 08:10:14 - mmengine - INFO - Epoch(train) [17][ 780/4451] lr: 4.5151e-07 eta: 3:18:24 time: 0.6005 data_time: 0.0129 memory: 51970 grad_norm: 0.1324 loss: 0.0322 recall@thr=0.5: 0.8297 prec@thr=0.5: 0.8406 recall@top3: 0.9167 prec@top3: 0.6232 recall@top5: 1.0000 prec@top5: 0.4261 loss_action_cls: 0.0322 2023/03/11 08:10:16 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 08:10:27 - mmengine - INFO - Epoch(train) [17][ 800/4451] lr: 4.5051e-07 eta: 3:18:09 time: 0.6493 data_time: 0.0127 memory: 51970 grad_norm: 0.1395 loss: 0.0255 recall@thr=0.5: 0.8125 prec@thr=0.5: 0.8417 recall@top3: 0.9208 prec@top3: 0.7000 recall@top5: 0.9333 prec@top5: 0.4300 loss_action_cls: 0.0255 2023/03/11 08:10:40 - mmengine - INFO - Epoch(train) [17][ 820/4451] lr: 4.4951e-07 eta: 3:17:55 time: 0.6690 data_time: 0.0136 memory: 51970 grad_norm: 0.1306 loss: 0.0279 recall@thr=0.5: 0.6360 prec@thr=0.5: 0.6579 recall@top3: 0.7649 prec@top3: 0.6053 recall@top5: 0.8697 prec@top5: 0.4421 loss_action_cls: 0.0279 2023/03/11 08:10:52 - mmengine - INFO - Epoch(train) [17][ 840/4451] lr: 4.4851e-07 eta: 3:17:41 time: 0.5840 data_time: 0.0122 memory: 51970 grad_norm: 0.1454 loss: 0.0296 recall@thr=0.5: 0.8241 prec@thr=0.5: 0.7870 recall@top3: 0.9630 prec@top3: 0.7222 recall@top5: 1.0000 prec@top5: 0.4556 loss_action_cls: 0.0296 2023/03/11 08:11:05 - mmengine - INFO - Epoch(train) [17][ 860/4451] lr: 4.4751e-07 eta: 3:17:27 time: 0.6504 data_time: 0.0879 memory: 51970 grad_norm: 0.1348 loss: 0.0304 recall@thr=0.5: 0.8063 prec@thr=0.5: 0.8413 recall@top3: 0.8619 prec@top3: 0.6508 recall@top5: 0.9905 prec@top5: 0.4667 loss_action_cls: 0.0304 2023/03/11 08:11:17 - mmengine - INFO - Epoch(train) [17][ 880/4451] lr: 4.4651e-07 eta: 3:17:12 time: 0.6296 data_time: 0.0133 memory: 51970 grad_norm: 0.1324 loss: 0.0302 recall@thr=0.5: 0.8750 prec@thr=0.5: 0.8083 recall@top3: 0.9000 prec@top3: 0.7333 recall@top5: 0.9250 prec@top5: 0.4600 loss_action_cls: 0.0302 2023/03/11 08:11:31 - mmengine - INFO - Epoch(train) [17][ 900/4451] lr: 4.4551e-07 eta: 3:16:58 time: 0.6732 data_time: 0.0289 memory: 51970 grad_norm: 0.1398 loss: 0.0285 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8067 recall@top3: 0.9333 prec@top3: 0.7200 recall@top5: 0.9633 prec@top5: 0.4480 loss_action_cls: 0.0285 2023/03/11 08:11:43 - mmengine - INFO - Epoch(train) [17][ 920/4451] lr: 4.4451e-07 eta: 3:16:44 time: 0.6101 data_time: 0.0185 memory: 51970 grad_norm: 0.1471 loss: 0.0340 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7333 recall@top3: 0.9333 prec@top3: 0.7067 recall@top5: 0.9733 prec@top5: 0.4480 loss_action_cls: 0.0340 2023/03/11 08:11:56 - mmengine - INFO - Epoch(train) [17][ 940/4451] lr: 4.4352e-07 eta: 3:16:29 time: 0.6293 data_time: 0.0231 memory: 51970 grad_norm: 0.1320 loss: 0.0292 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.5351 recall@top3: 0.6140 prec@top3: 0.3860 recall@top5: 0.8421 prec@top5: 0.3368 loss_action_cls: 0.0292 2023/03/11 08:12:09 - mmengine - INFO - Epoch(train) [17][ 960/4451] lr: 4.4252e-07 eta: 3:16:15 time: 0.6590 data_time: 0.0119 memory: 51970 grad_norm: 0.1360 loss: 0.0274 recall@thr=0.5: 0.8159 prec@thr=0.5: 0.9841 recall@top3: 0.8841 prec@top3: 0.8571 recall@top5: 0.9810 prec@top5: 0.6000 loss_action_cls: 0.0274 2023/03/11 08:12:21 - mmengine - INFO - Epoch(train) [17][ 980/4451] lr: 4.4152e-07 eta: 3:16:01 time: 0.5945 data_time: 0.0128 memory: 51970 grad_norm: 0.1286 loss: 0.0271 recall@thr=0.5: 0.7396 prec@thr=0.5: 0.8056 recall@top3: 0.8507 prec@top3: 0.5694 recall@top5: 0.9167 prec@top5: 0.3750 loss_action_cls: 0.0271 2023/03/11 08:12:32 - mmengine - INFO - Epoch(train) [17][1000/4451] lr: 4.4053e-07 eta: 3:15:46 time: 0.5729 data_time: 0.0134 memory: 51970 grad_norm: 0.1337 loss: 0.0286 recall@thr=0.5: 0.6562 prec@thr=0.5: 0.7396 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9583 prec@top5: 0.4500 loss_action_cls: 0.0286 2023/03/11 08:12:45 - mmengine - INFO - Epoch(train) [17][1020/4451] lr: 4.3954e-07 eta: 3:15:32 time: 0.6460 data_time: 0.0134 memory: 51970 grad_norm: 0.1374 loss: 0.0284 recall@thr=0.5: 0.8361 prec@thr=0.5: 0.7750 recall@top3: 0.9333 prec@top3: 0.6111 recall@top5: 0.9500 prec@top5: 0.3800 loss_action_cls: 0.0284 2023/03/11 08:12:56 - mmengine - INFO - Epoch(train) [17][1040/4451] lr: 4.3855e-07 eta: 3:15:17 time: 0.5574 data_time: 0.0211 memory: 51970 grad_norm: 0.1387 loss: 0.0282 recall@thr=0.5: 0.7176 prec@thr=0.5: 0.9074 recall@top3: 0.8148 prec@top3: 0.7222 recall@top5: 0.9444 prec@top5: 0.5333 loss_action_cls: 0.0282 2023/03/11 08:13:09 - mmengine - INFO - Epoch(train) [17][1060/4451] lr: 4.3756e-07 eta: 3:15:03 time: 0.6455 data_time: 0.0523 memory: 51970 grad_norm: 0.1343 loss: 0.0268 recall@thr=0.5: 0.8116 prec@thr=0.5: 0.8261 recall@top3: 0.8297 prec@top3: 0.6667 recall@top5: 0.9710 prec@top5: 0.4870 loss_action_cls: 0.0268 2023/03/11 08:13:50 - mmengine - INFO - Epoch(train) [17][1080/4451] lr: 4.3657e-07 eta: 3:14:55 time: 2.0500 data_time: 0.8193 memory: 51970 grad_norm: 0.1366 loss: 0.0290 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.5897 recall@top3: 0.8077 prec@top3: 0.4615 recall@top5: 0.9231 prec@top5: 0.3231 loss_action_cls: 0.0290 2023/03/11 08:14:29 - mmengine - INFO - Epoch(train) [17][1100/4451] lr: 4.3558e-07 eta: 3:14:47 time: 1.9313 data_time: 0.8435 memory: 51970 grad_norm: 0.1367 loss: 0.0312 recall@thr=0.5: 0.8684 prec@thr=0.5: 0.9474 recall@top3: 0.9737 prec@top3: 0.7895 recall@top5: 1.0000 prec@top5: 0.4947 loss_action_cls: 0.0312 2023/03/11 08:15:06 - mmengine - INFO - Epoch(train) [17][1120/4451] lr: 4.3459e-07 eta: 3:14:38 time: 1.8455 data_time: 1.1619 memory: 51970 grad_norm: 0.1425 loss: 0.0296 recall@thr=0.5: 0.8523 prec@thr=0.5: 0.8561 recall@top3: 0.9129 prec@top3: 0.7424 recall@top5: 0.9621 prec@top5: 0.4818 loss_action_cls: 0.0296 2023/03/11 08:15:43 - mmengine - INFO - Epoch(train) [17][1140/4451] lr: 4.3360e-07 eta: 3:14:30 time: 1.8554 data_time: 0.5723 memory: 51970 grad_norm: 0.1353 loss: 0.0292 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6354 recall@top3: 0.7344 prec@top3: 0.5833 recall@top5: 0.8750 prec@top5: 0.4375 loss_action_cls: 0.0292 2023/03/11 08:16:20 - mmengine - INFO - Epoch(train) [17][1160/4451] lr: 4.3261e-07 eta: 3:14:21 time: 1.8514 data_time: 0.7011 memory: 51970 grad_norm: 0.1403 loss: 0.0304 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8889 recall@top3: 0.8333 prec@top3: 0.6296 recall@top5: 0.8889 prec@top5: 0.4111 loss_action_cls: 0.0304 2023/03/11 08:16:59 - mmengine - INFO - Epoch(train) [17][1180/4451] lr: 4.3163e-07 eta: 3:14:13 time: 1.9561 data_time: 0.4898 memory: 51970 grad_norm: 0.1478 loss: 0.0333 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8389 recall@top3: 0.8356 prec@top3: 0.5778 recall@top5: 0.9144 prec@top5: 0.4000 loss_action_cls: 0.0333 2023/03/11 08:17:37 - mmengine - INFO - Epoch(train) [17][1200/4451] lr: 4.3064e-07 eta: 3:14:04 time: 1.8925 data_time: 0.3960 memory: 51970 grad_norm: 0.1388 loss: 0.0276 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.7824 recall@top3: 0.8611 prec@top3: 0.7593 recall@top5: 0.9259 prec@top5: 0.5000 loss_action_cls: 0.0276 2023/03/11 08:18:16 - mmengine - INFO - Epoch(train) [17][1220/4451] lr: 4.2966e-07 eta: 3:13:56 time: 1.9726 data_time: 0.1404 memory: 51970 grad_norm: 0.1442 loss: 0.0323 recall@thr=0.5: 0.5926 prec@thr=0.5: 0.6852 recall@top3: 0.8796 prec@top3: 0.6481 recall@top5: 0.9352 prec@top5: 0.4222 loss_action_cls: 0.0323 2023/03/11 08:18:54 - mmengine - INFO - Epoch(train) [17][1240/4451] lr: 4.2868e-07 eta: 3:13:47 time: 1.8927 data_time: 0.0138 memory: 51970 grad_norm: 0.1307 loss: 0.0265 recall@thr=0.5: 0.8068 prec@thr=0.5: 0.9061 recall@top3: 0.8447 prec@top3: 0.7727 recall@top5: 0.9886 prec@top5: 0.5636 loss_action_cls: 0.0265 2023/03/11 08:19:31 - mmengine - INFO - Epoch(train) [17][1260/4451] lr: 4.2770e-07 eta: 3:13:39 time: 1.8394 data_time: 0.0339 memory: 51970 grad_norm: 0.1401 loss: 0.0276 recall@thr=0.5: 0.7660 prec@thr=0.5: 0.8000 recall@top3: 0.8013 prec@top3: 0.8333 recall@top5: 0.9167 prec@top5: 0.5769 loss_action_cls: 0.0276 2023/03/11 08:20:05 - mmengine - INFO - Epoch(train) [17][1280/4451] lr: 4.2672e-07 eta: 3:13:29 time: 1.7259 data_time: 0.0133 memory: 51970 grad_norm: 0.1381 loss: 0.0270 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.6535 recall@top3: 0.9342 prec@top3: 0.5789 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0270 2023/03/11 08:20:48 - mmengine - INFO - Epoch(train) [17][1300/4451] lr: 4.2574e-07 eta: 3:13:22 time: 2.1170 data_time: 0.0134 memory: 51970 grad_norm: 0.1386 loss: 0.0265 recall@thr=0.5: 0.5873 prec@thr=0.5: 0.7619 recall@top3: 0.8444 prec@top3: 0.6032 recall@top5: 0.9016 prec@top5: 0.4000 loss_action_cls: 0.0265 2023/03/11 08:21:21 - mmengine - INFO - Epoch(train) [17][1320/4451] lr: 4.2476e-07 eta: 3:13:12 time: 1.6581 data_time: 0.0136 memory: 51970 grad_norm: 0.1333 loss: 0.0312 recall@thr=0.5: 0.6449 prec@thr=0.5: 0.6928 recall@top3: 0.7935 prec@top3: 0.7101 recall@top5: 0.8877 prec@top5: 0.4957 loss_action_cls: 0.0312 2023/03/11 08:21:59 - mmengine - INFO - Epoch(train) [17][1340/4451] lr: 4.2378e-07 eta: 3:13:03 time: 1.9225 data_time: 0.0139 memory: 51970 grad_norm: 0.1411 loss: 0.0358 recall@thr=0.5: 0.7244 prec@thr=0.5: 0.7096 recall@top3: 0.8423 prec@top3: 0.7436 recall@top5: 0.9526 prec@top5: 0.5154 loss_action_cls: 0.0358 2023/03/11 08:22:32 - mmengine - INFO - Epoch(train) [17][1360/4451] lr: 4.2280e-07 eta: 3:12:53 time: 1.6173 data_time: 0.0133 memory: 51970 grad_norm: 0.1371 loss: 0.0292 recall@thr=0.5: 0.8406 prec@thr=0.5: 0.8739 recall@top3: 0.8116 prec@top3: 0.7681 recall@top5: 0.9891 prec@top5: 0.5652 loss_action_cls: 0.0292 2023/03/11 08:23:10 - mmengine - INFO - Epoch(train) [17][1380/4451] lr: 4.2183e-07 eta: 3:12:45 time: 1.9248 data_time: 0.0137 memory: 51970 grad_norm: 0.1420 loss: 0.0307 recall@thr=0.5: 0.5000 prec@thr=0.5: 0.5687 recall@top3: 0.6979 prec@top3: 0.5833 recall@top5: 0.9062 prec@top5: 0.4750 loss_action_cls: 0.0307 2023/03/11 08:23:46 - mmengine - INFO - Epoch(train) [17][1400/4451] lr: 4.2085e-07 eta: 3:12:36 time: 1.7995 data_time: 0.3882 memory: 51970 grad_norm: 0.1388 loss: 0.0298 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6754 recall@top3: 0.8246 prec@top3: 0.6316 recall@top5: 0.9474 prec@top5: 0.4526 loss_action_cls: 0.0298 2023/03/11 08:24:29 - mmengine - INFO - Epoch(train) [17][1420/4451] lr: 4.1988e-07 eta: 3:12:28 time: 2.1641 data_time: 0.0141 memory: 51970 grad_norm: 0.1328 loss: 0.0316 recall@thr=0.5: 0.7146 prec@thr=0.5: 0.7969 recall@top3: 0.8396 prec@top3: 0.6875 recall@top5: 0.9406 prec@top5: 0.4750 loss_action_cls: 0.0316 2023/03/11 08:25:06 - mmengine - INFO - Epoch(train) [17][1440/4451] lr: 4.1890e-07 eta: 3:12:19 time: 1.8299 data_time: 0.0128 memory: 51970 grad_norm: 0.1361 loss: 0.0306 recall@thr=0.5: 0.7361 prec@thr=0.5: 0.7500 recall@top3: 0.8889 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4167 loss_action_cls: 0.0306 2023/03/11 08:25:45 - mmengine - INFO - Epoch(train) [17][1460/4451] lr: 4.1793e-07 eta: 3:12:11 time: 1.9475 data_time: 0.0128 memory: 51970 grad_norm: 0.1335 loss: 0.0280 recall@thr=0.5: 0.7111 prec@thr=0.5: 0.8444 recall@top3: 0.8556 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0280 2023/03/11 08:26:16 - mmengine - INFO - Epoch(train) [17][1480/4451] lr: 4.1696e-07 eta: 3:12:00 time: 1.5618 data_time: 0.0131 memory: 51970 grad_norm: 0.1371 loss: 0.0277 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7333 recall@top3: 0.8625 prec@top3: 0.7000 recall@top5: 0.9000 prec@top5: 0.4500 loss_action_cls: 0.0277 2023/03/11 08:26:59 - mmengine - INFO - Epoch(train) [17][1500/4451] lr: 4.1599e-07 eta: 3:11:53 time: 2.1246 data_time: 0.0141 memory: 51970 grad_norm: 0.1357 loss: 0.0266 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6250 recall@top3: 0.8500 prec@top3: 0.5500 recall@top5: 0.9000 prec@top5: 0.3500 loss_action_cls: 0.0266 2023/03/11 08:27:33 - mmengine - INFO - Epoch(train) [17][1520/4451] lr: 4.1502e-07 eta: 3:11:43 time: 1.7199 data_time: 0.0144 memory: 51970 grad_norm: 0.1438 loss: 0.0295 recall@thr=0.5: 0.5119 prec@thr=0.5: 0.8571 recall@top3: 0.8254 prec@top3: 0.6667 recall@top5: 0.9643 prec@top5: 0.4762 loss_action_cls: 0.0295 2023/03/11 08:28:16 - mmengine - INFO - Epoch(train) [17][1540/4451] lr: 4.1405e-07 eta: 3:11:35 time: 2.1507 data_time: 0.0131 memory: 51970 grad_norm: 0.1286 loss: 0.0256 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8333 recall@top3: 0.9111 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0256 2023/03/11 08:28:49 - mmengine - INFO - Epoch(train) [17][1560/4451] lr: 4.1308e-07 eta: 3:11:25 time: 1.6203 data_time: 0.0139 memory: 51970 grad_norm: 0.1355 loss: 0.0300 recall@thr=0.5: 0.7468 prec@thr=0.5: 0.7564 recall@top3: 0.8558 prec@top3: 0.7051 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0300 2023/03/11 08:29:34 - mmengine - INFO - Epoch(train) [17][1580/4451] lr: 4.1212e-07 eta: 3:11:18 time: 2.2636 data_time: 0.0138 memory: 51970 grad_norm: 0.1336 loss: 0.0272 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.7083 recall@top3: 0.9722 prec@top3: 0.5833 recall@top5: 0.9722 prec@top5: 0.3500 loss_action_cls: 0.0272 2023/03/11 08:30:04 - mmengine - INFO - Epoch(train) [17][1600/4451] lr: 4.1115e-07 eta: 3:11:08 time: 1.5083 data_time: 0.0135 memory: 51970 grad_norm: 0.1325 loss: 0.0296 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.7841 recall@top3: 0.6818 prec@top3: 0.5758 recall@top5: 0.8788 prec@top5: 0.4636 loss_action_cls: 0.0296 2023/03/11 08:30:49 - mmengine - INFO - Epoch(train) [17][1620/4451] lr: 4.1019e-07 eta: 3:11:00 time: 2.2578 data_time: 0.0127 memory: 51970 grad_norm: 0.1355 loss: 0.0262 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8421 recall@top3: 1.0000 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.3579 loss_action_cls: 0.0262 2023/03/11 08:31:24 - mmengine - INFO - Epoch(train) [17][1640/4451] lr: 4.0922e-07 eta: 3:10:51 time: 1.7259 data_time: 0.0137 memory: 51970 grad_norm: 0.1327 loss: 0.0285 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8172 recall@top3: 0.8194 prec@top3: 0.6022 recall@top5: 0.8753 prec@top5: 0.4000 loss_action_cls: 0.0285 2023/03/11 08:32:08 - mmengine - INFO - Epoch(train) [17][1660/4451] lr: 4.0826e-07 eta: 3:10:43 time: 2.2025 data_time: 0.0148 memory: 51970 grad_norm: 0.1482 loss: 0.0284 recall@thr=0.5: 0.5725 prec@thr=0.5: 0.5652 recall@top3: 0.7681 prec@top3: 0.3913 recall@top5: 0.7935 prec@top5: 0.2522 loss_action_cls: 0.0284 2023/03/11 08:32:36 - mmengine - INFO - Epoch(train) [17][1680/4451] lr: 4.0730e-07 eta: 3:10:32 time: 1.4053 data_time: 0.0120 memory: 51970 grad_norm: 0.1426 loss: 0.0285 recall@thr=0.5: 0.5321 prec@thr=0.5: 0.5247 recall@top3: 0.7296 prec@top3: 0.5926 recall@top5: 0.9012 prec@top5: 0.4667 loss_action_cls: 0.0285 2023/03/11 08:33:21 - mmengine - INFO - Epoch(train) [17][1700/4451] lr: 4.0634e-07 eta: 3:10:25 time: 2.2465 data_time: 0.0137 memory: 51970 grad_norm: 0.1385 loss: 0.0295 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.6750 recall@top3: 0.8500 prec@top3: 0.5667 recall@top5: 0.9167 prec@top5: 0.3800 loss_action_cls: 0.0295 2023/03/11 08:33:56 - mmengine - INFO - Epoch(train) [17][1720/4451] lr: 4.0538e-07 eta: 3:10:15 time: 1.7635 data_time: 0.0161 memory: 51970 grad_norm: 0.1360 loss: 0.0270 recall@thr=0.5: 0.7823 prec@thr=0.5: 0.7740 recall@top3: 0.8344 prec@top3: 0.7917 recall@top5: 0.9615 prec@top5: 0.5562 loss_action_cls: 0.0270 2023/03/11 08:34:35 - mmengine - INFO - Epoch(train) [17][1740/4451] lr: 4.0442e-07 eta: 3:10:06 time: 1.9602 data_time: 0.0130 memory: 51970 grad_norm: 0.1329 loss: 0.0271 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7583 recall@top3: 0.8750 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4200 loss_action_cls: 0.0271 2023/03/11 08:35:08 - mmengine - INFO - Epoch(train) [17][1760/4451] lr: 4.0346e-07 eta: 3:09:56 time: 1.6552 data_time: 0.0138 memory: 51970 grad_norm: 0.1386 loss: 0.0294 recall@thr=0.5: 0.8704 prec@thr=0.5: 0.8519 recall@top3: 0.8704 prec@top3: 0.5741 recall@top5: 0.8981 prec@top5: 0.3556 loss_action_cls: 0.0294 2023/03/11 08:35:47 - mmengine - INFO - Epoch(train) [17][1780/4451] lr: 4.0250e-07 eta: 3:09:48 time: 1.9519 data_time: 0.0136 memory: 51970 grad_norm: 0.1402 loss: 0.0277 recall@thr=0.5: 0.5526 prec@thr=0.5: 0.7237 recall@top3: 0.7675 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4632 loss_action_cls: 0.0277 2023/03/11 08:35:54 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 08:36:23 - mmengine - INFO - Epoch(train) [17][1800/4451] lr: 4.0155e-07 eta: 3:09:38 time: 1.7817 data_time: 0.0144 memory: 51970 grad_norm: 0.1361 loss: 0.0297 recall@thr=0.5: 0.6569 prec@thr=0.5: 0.6078 recall@top3: 0.9118 prec@top3: 0.6275 recall@top5: 0.9608 prec@top5: 0.4000 loss_action_cls: 0.0297 2023/03/11 08:37:00 - mmengine - INFO - Epoch(train) [17][1820/4451] lr: 4.0059e-07 eta: 3:09:29 time: 1.8674 data_time: 0.0140 memory: 51970 grad_norm: 0.1468 loss: 0.0283 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.9375 recall@top3: 0.9167 prec@top3: 0.6250 recall@top5: 0.9583 prec@top5: 0.3917 loss_action_cls: 0.0283 2023/03/11 08:37:36 - mmengine - INFO - Epoch(train) [17][1840/4451] lr: 3.9964e-07 eta: 3:09:19 time: 1.7590 data_time: 0.5376 memory: 51970 grad_norm: 0.1359 loss: 0.0297 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.8182 recall@top3: 0.7841 prec@top3: 0.7273 recall@top5: 0.9621 prec@top5: 0.5636 loss_action_cls: 0.0297 2023/03/11 08:38:14 - mmengine - INFO - Epoch(train) [17][1860/4451] lr: 3.9868e-07 eta: 3:09:10 time: 1.9087 data_time: 0.4392 memory: 51970 grad_norm: 0.1385 loss: 0.0289 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.8421 recall@top3: 0.8772 prec@top3: 0.6140 recall@top5: 0.9211 prec@top5: 0.3895 loss_action_cls: 0.0289 2023/03/11 08:38:51 - mmengine - INFO - Epoch(train) [17][1880/4451] lr: 3.9773e-07 eta: 3:09:01 time: 1.8677 data_time: 0.0153 memory: 51970 grad_norm: 0.1369 loss: 0.0289 recall@thr=0.5: 0.7716 prec@thr=0.5: 0.8272 recall@top3: 0.8525 prec@top3: 0.8272 recall@top5: 0.9617 prec@top5: 0.5704 loss_action_cls: 0.0289 2023/03/11 08:39:32 - mmengine - INFO - Epoch(train) [17][1900/4451] lr: 3.9678e-07 eta: 3:08:53 time: 2.0321 data_time: 0.0150 memory: 51970 grad_norm: 0.1416 loss: 0.0329 recall@thr=0.5: 0.6282 prec@thr=0.5: 0.7436 recall@top3: 0.8718 prec@top3: 0.6154 recall@top5: 0.9359 prec@top5: 0.4000 loss_action_cls: 0.0329 2023/03/11 08:40:13 - mmengine - INFO - Epoch(train) [17][1920/4451] lr: 3.9583e-07 eta: 3:08:44 time: 2.0427 data_time: 0.0144 memory: 51970 grad_norm: 0.1403 loss: 0.0301 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.5635 recall@top3: 0.8254 prec@top3: 0.5714 recall@top5: 0.9524 prec@top5: 0.4190 loss_action_cls: 0.0301 2023/03/11 08:40:47 - mmengine - INFO - Epoch(train) [17][1940/4451] lr: 3.9488e-07 eta: 3:08:34 time: 1.7372 data_time: 0.0117 memory: 51970 grad_norm: 0.1272 loss: 0.0273 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8841 recall@top3: 0.9022 prec@top3: 0.7971 recall@top5: 0.9565 prec@top5: 0.5217 loss_action_cls: 0.0273 2023/03/11 08:41:29 - mmengine - INFO - Epoch(train) [17][1960/4451] lr: 3.9393e-07 eta: 3:08:26 time: 2.0779 data_time: 0.0138 memory: 51970 grad_norm: 0.1394 loss: 0.0289 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.9271 recall@top3: 0.8646 prec@top3: 0.7917 recall@top5: 0.9688 prec@top5: 0.5500 loss_action_cls: 0.0289 2023/03/11 08:42:01 - mmengine - INFO - Epoch(train) [17][1980/4451] lr: 3.9298e-07 eta: 3:08:15 time: 1.5937 data_time: 0.0132 memory: 51970 grad_norm: 0.1381 loss: 0.0322 recall@thr=0.5: 0.6025 prec@thr=0.5: 0.7500 recall@top3: 0.6658 prec@top3: 0.7167 recall@top5: 0.9633 prec@top5: 0.6600 loss_action_cls: 0.0322 2023/03/11 08:42:47 - mmengine - INFO - Epoch(train) [17][2000/4451] lr: 3.9204e-07 eta: 3:08:08 time: 2.2840 data_time: 0.0150 memory: 51970 grad_norm: 0.1423 loss: 0.0307 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.8583 recall@top3: 0.8250 prec@top3: 0.7333 recall@top5: 0.9833 prec@top5: 0.5400 loss_action_cls: 0.0307 2023/03/11 08:43:20 - mmengine - INFO - Epoch(train) [17][2020/4451] lr: 3.9109e-07 eta: 3:07:58 time: 1.6494 data_time: 0.0146 memory: 51970 grad_norm: 0.1315 loss: 0.0294 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8833 recall@top3: 0.8292 prec@top3: 0.6667 recall@top5: 0.9167 prec@top5: 0.4500 loss_action_cls: 0.0294 2023/03/11 08:44:04 - mmengine - INFO - Epoch(train) [17][2040/4451] lr: 3.9015e-07 eta: 3:07:50 time: 2.2021 data_time: 0.0137 memory: 51970 grad_norm: 0.1359 loss: 0.0296 recall@thr=0.5: 0.5794 prec@thr=0.5: 0.6667 recall@top3: 0.8095 prec@top3: 0.6349 recall@top5: 0.9048 prec@top5: 0.4476 loss_action_cls: 0.0296 2023/03/11 08:44:30 - mmengine - INFO - Epoch(train) [17][2060/4451] lr: 3.8920e-07 eta: 3:07:38 time: 1.3302 data_time: 0.0129 memory: 51970 grad_norm: 0.1332 loss: 0.0281 recall@thr=0.5: 0.7273 prec@thr=0.5: 0.7045 recall@top3: 0.8030 prec@top3: 0.5455 recall@top5: 0.9394 prec@top5: 0.3909 loss_action_cls: 0.0281 2023/03/11 08:45:11 - mmengine - INFO - Epoch(train) [17][2080/4451] lr: 3.8826e-07 eta: 3:07:30 time: 2.0511 data_time: 0.0133 memory: 51970 grad_norm: 0.1374 loss: 0.0294 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.9074 recall@top3: 0.9213 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0294 2023/03/11 08:45:47 - mmengine - INFO - Epoch(train) [17][2100/4451] lr: 3.8732e-07 eta: 3:07:20 time: 1.7870 data_time: 0.0151 memory: 51970 grad_norm: 0.1328 loss: 0.0290 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.8235 recall@top3: 0.7500 prec@top3: 0.7255 recall@top5: 0.8529 prec@top5: 0.5176 loss_action_cls: 0.0290 2023/03/11 08:46:27 - mmengine - INFO - Epoch(train) [17][2120/4451] lr: 3.8638e-07 eta: 3:07:11 time: 2.0152 data_time: 0.0143 memory: 51970 grad_norm: 0.1386 loss: 0.0272 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.8035 recall@top3: 0.8947 prec@top3: 0.7368 recall@top5: 0.9474 prec@top5: 0.4842 loss_action_cls: 0.0272 2023/03/11 08:47:01 - mmengine - INFO - Epoch(train) [17][2140/4451] lr: 3.8544e-07 eta: 3:07:01 time: 1.6846 data_time: 0.0127 memory: 51970 grad_norm: 0.1367 loss: 0.0298 recall@thr=0.5: 0.9000 prec@thr=0.5: 1.0000 recall@top3: 0.8778 prec@top3: 0.8444 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0298 2023/03/11 08:47:46 - mmengine - INFO - Epoch(train) [17][2160/4451] lr: 3.8450e-07 eta: 3:06:53 time: 2.2563 data_time: 0.0147 memory: 51970 grad_norm: 0.1334 loss: 0.0332 recall@thr=0.5: 0.8947 prec@thr=0.5: 0.9825 recall@top3: 0.9825 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4105 loss_action_cls: 0.0332 2023/03/11 08:48:17 - mmengine - INFO - Epoch(train) [17][2180/4451] lr: 3.8356e-07 eta: 3:06:42 time: 1.5474 data_time: 0.0405 memory: 51970 grad_norm: 0.1334 loss: 0.0292 recall@thr=0.5: 0.6439 prec@thr=0.5: 0.7424 recall@top3: 0.8106 prec@top3: 0.4697 recall@top5: 0.8258 prec@top5: 0.2909 loss_action_cls: 0.0292 2023/03/11 08:48:59 - mmengine - INFO - Epoch(train) [17][2200/4451] lr: 3.8263e-07 eta: 3:06:34 time: 2.0700 data_time: 0.0135 memory: 51970 grad_norm: 0.1292 loss: 0.0274 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8333 recall@top3: 0.8114 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.4526 loss_action_cls: 0.0274 2023/03/11 08:49:32 - mmengine - INFO - Epoch(train) [17][2220/4451] lr: 3.8169e-07 eta: 3:06:23 time: 1.6802 data_time: 0.0129 memory: 51970 grad_norm: 0.1339 loss: 0.0304 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.8467 recall@top3: 0.8467 prec@top3: 0.7067 recall@top5: 0.9867 prec@top5: 0.4960 loss_action_cls: 0.0304 2023/03/11 08:50:14 - mmengine - INFO - Epoch(train) [17][2240/4451] lr: 3.8076e-07 eta: 3:06:15 time: 2.1136 data_time: 0.0152 memory: 51970 grad_norm: 0.1315 loss: 0.0270 recall@thr=0.5: 0.6939 prec@thr=0.5: 0.8636 recall@top3: 0.8803 prec@top3: 0.6818 recall@top5: 0.9167 prec@top5: 0.4455 loss_action_cls: 0.0270 2023/03/11 08:50:52 - mmengine - INFO - Epoch(train) [17][2260/4451] lr: 3.7982e-07 eta: 3:06:06 time: 1.8763 data_time: 0.0125 memory: 51970 grad_norm: 0.1379 loss: 0.0264 recall@thr=0.5: 0.6522 prec@thr=0.5: 0.6812 recall@top3: 0.7826 prec@top3: 0.5362 recall@top5: 0.8913 prec@top5: 0.3565 loss_action_cls: 0.0264 2023/03/11 08:51:19 - mmengine - INFO - Epoch(train) [17][2280/4451] lr: 3.7889e-07 eta: 3:05:54 time: 1.3442 data_time: 0.0142 memory: 51970 grad_norm: 0.1429 loss: 0.0287 recall@thr=0.5: 0.7843 prec@thr=0.5: 0.8235 recall@top3: 0.9510 prec@top3: 0.7647 recall@top5: 1.0000 prec@top5: 0.4941 loss_action_cls: 0.0287 2023/03/11 08:51:56 - mmengine - INFO - Epoch(train) [17][2300/4451] lr: 3.7796e-07 eta: 3:05:44 time: 1.8387 data_time: 0.0124 memory: 51970 grad_norm: 0.1275 loss: 0.0293 recall@thr=0.5: 0.7024 prec@thr=0.5: 0.7500 recall@top3: 0.8095 prec@top3: 0.5476 recall@top5: 0.9167 prec@top5: 0.3714 loss_action_cls: 0.0293 2023/03/11 08:52:55 - mmengine - INFO - Epoch(train) [17][2320/4451] lr: 3.7703e-07 eta: 3:05:39 time: 2.9752 data_time: 0.0147 memory: 51970 grad_norm: 0.1336 loss: 0.0323 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.6417 recall@top3: 0.9042 prec@top3: 0.7167 recall@top5: 0.9750 prec@top5: 0.4800 loss_action_cls: 0.0323 2023/03/11 08:53:40 - mmengine - INFO - Epoch(train) [17][2340/4451] lr: 3.7610e-07 eta: 3:05:31 time: 2.2441 data_time: 0.0127 memory: 51970 grad_norm: 0.1347 loss: 0.0296 recall@thr=0.5: 0.8819 prec@thr=0.5: 0.8750 recall@top3: 0.8333 prec@top3: 0.7778 recall@top5: 0.9167 prec@top5: 0.5333 loss_action_cls: 0.0296 2023/03/11 08:54:29 - mmengine - INFO - Epoch(train) [17][2360/4451] lr: 3.7517e-07 eta: 3:05:24 time: 2.4490 data_time: 0.0145 memory: 51970 grad_norm: 0.1344 loss: 0.0323 recall@thr=0.5: 0.6278 prec@thr=0.5: 0.6722 recall@top3: 0.8389 prec@top3: 0.6667 recall@top5: 0.8722 prec@top5: 0.4267 loss_action_cls: 0.0323 2023/03/11 08:55:24 - mmengine - INFO - Epoch(train) [17][2380/4451] lr: 3.7424e-07 eta: 3:05:18 time: 2.7414 data_time: 0.5140 memory: 51970 grad_norm: 0.1402 loss: 0.0285 recall@thr=0.5: 0.8043 prec@thr=0.5: 0.8696 recall@top3: 0.8406 prec@top3: 0.8261 recall@top5: 0.9275 prec@top5: 0.5652 loss_action_cls: 0.0285 2023/03/11 08:56:01 - mmengine - INFO - Epoch(train) [17][2400/4451] lr: 3.7331e-07 eta: 3:05:09 time: 1.8782 data_time: 0.2933 memory: 51970 grad_norm: 0.1356 loss: 0.0303 recall@thr=0.5: 0.5614 prec@thr=0.5: 0.8070 recall@top3: 0.8333 prec@top3: 0.6316 recall@top5: 0.9825 prec@top5: 0.4526 loss_action_cls: 0.0303 2023/03/11 08:56:14 - mmengine - INFO - Epoch(train) [17][2420/4451] lr: 3.7239e-07 eta: 3:04:54 time: 0.6212 data_time: 0.1455 memory: 51970 grad_norm: 0.1350 loss: 0.0250 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7552 recall@top3: 0.8229 prec@top3: 0.5833 recall@top5: 0.9844 prec@top5: 0.4000 loss_action_cls: 0.0250 2023/03/11 08:56:26 - mmengine - INFO - Epoch(train) [17][2440/4451] lr: 3.7146e-07 eta: 3:04:39 time: 0.6078 data_time: 0.0849 memory: 51970 grad_norm: 0.1385 loss: 0.0290 recall@thr=0.5: 0.9000 prec@thr=0.5: 0.9500 recall@top3: 0.9667 prec@top3: 0.6833 recall@top5: 1.0000 prec@top5: 0.4300 loss_action_cls: 0.0290 2023/03/11 08:56:37 - mmengine - INFO - Epoch(train) [17][2460/4451] lr: 3.7054e-07 eta: 3:04:24 time: 0.5613 data_time: 0.0563 memory: 51970 grad_norm: 0.1399 loss: 0.0293 recall@thr=0.5: 0.6579 prec@thr=0.5: 0.7412 recall@top3: 0.8737 prec@top3: 0.6667 recall@top5: 0.8947 prec@top5: 0.4211 loss_action_cls: 0.0293 2023/03/11 08:56:50 - mmengine - INFO - Epoch(train) [17][2480/4451] lr: 3.6961e-07 eta: 3:04:09 time: 0.6458 data_time: 0.2122 memory: 51970 grad_norm: 0.1384 loss: 0.0304 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.9375 recall@top3: 0.9792 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0304 2023/03/11 08:57:04 - mmengine - INFO - Epoch(train) [17][2500/4451] lr: 3.6869e-07 eta: 3:03:55 time: 0.6761 data_time: 0.2485 memory: 51970 grad_norm: 0.1364 loss: 0.0274 recall@thr=0.5: 0.7857 prec@thr=0.5: 0.8254 recall@top3: 0.8294 prec@top3: 0.6508 recall@top5: 0.9841 prec@top5: 0.4762 loss_action_cls: 0.0274 2023/03/11 08:57:16 - mmengine - INFO - Epoch(train) [17][2520/4451] lr: 3.6777e-07 eta: 3:03:40 time: 0.6038 data_time: 0.1760 memory: 51970 grad_norm: 0.1362 loss: 0.0266 recall@thr=0.5: 0.8000 prec@thr=0.5: 0.8975 recall@top3: 0.8125 prec@top3: 0.6500 recall@top5: 0.8750 prec@top5: 0.4300 loss_action_cls: 0.0266 2023/03/11 08:57:28 - mmengine - INFO - Epoch(train) [17][2540/4451] lr: 3.6685e-07 eta: 3:03:25 time: 0.6330 data_time: 0.2073 memory: 51970 grad_norm: 0.1448 loss: 0.0301 recall@thr=0.5: 0.7108 prec@thr=0.5: 0.7941 recall@top3: 0.9069 prec@top3: 0.5490 recall@top5: 0.9706 prec@top5: 0.3647 loss_action_cls: 0.0301 2023/03/11 08:57:40 - mmengine - INFO - Epoch(train) [17][2560/4451] lr: 3.6593e-07 eta: 3:03:10 time: 0.6004 data_time: 0.1731 memory: 51970 grad_norm: 0.1447 loss: 0.0295 recall@thr=0.5: 0.8167 prec@thr=0.5: 0.8717 recall@top3: 0.8125 prec@top3: 0.7833 recall@top5: 0.9333 prec@top5: 0.5500 loss_action_cls: 0.0295 2023/03/11 08:57:54 - mmengine - INFO - Epoch(train) [17][2580/4451] lr: 3.6501e-07 eta: 3:02:55 time: 0.6659 data_time: 0.1934 memory: 51970 grad_norm: 0.1398 loss: 0.0291 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.7258 recall@top3: 0.7317 prec@top3: 0.7204 recall@top5: 0.9140 prec@top5: 0.5677 loss_action_cls: 0.0291 2023/03/11 08:58:06 - mmengine - INFO - Epoch(train) [17][2600/4451] lr: 3.6410e-07 eta: 3:02:40 time: 0.6267 data_time: 0.0621 memory: 51970 grad_norm: 0.1343 loss: 0.0312 recall@thr=0.5: 0.6893 prec@thr=0.5: 0.8125 recall@top3: 0.7929 prec@top3: 0.6667 recall@top5: 0.9143 prec@top5: 0.4857 loss_action_cls: 0.0312 2023/03/11 08:58:19 - mmengine - INFO - Epoch(train) [17][2620/4451] lr: 3.6318e-07 eta: 3:02:26 time: 0.6304 data_time: 0.1733 memory: 51970 grad_norm: 0.1334 loss: 0.0281 recall@thr=0.5: 0.6927 prec@thr=0.5: 0.8229 recall@top3: 0.8333 prec@top3: 0.7083 recall@top5: 0.9271 prec@top5: 0.4875 loss_action_cls: 0.0281 2023/03/11 08:58:33 - mmengine - INFO - Epoch(train) [17][2640/4451] lr: 3.6226e-07 eta: 3:02:11 time: 0.6945 data_time: 0.0520 memory: 51970 grad_norm: 0.1362 loss: 0.0275 recall@thr=0.5: 0.8021 prec@thr=0.5: 0.9687 recall@top3: 0.9271 prec@top3: 0.6875 recall@top5: 0.9688 prec@top5: 0.4375 loss_action_cls: 0.0275 2023/03/11 08:58:45 - mmengine - INFO - Epoch(train) [17][2660/4451] lr: 3.6135e-07 eta: 3:01:56 time: 0.6022 data_time: 0.0136 memory: 51970 grad_norm: 0.1345 loss: 0.0262 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8333 recall@top3: 0.8667 prec@top3: 0.7000 recall@top5: 1.0000 prec@top5: 0.4900 loss_action_cls: 0.0262 2023/03/11 08:58:58 - mmengine - INFO - Epoch(train) [17][2680/4451] lr: 3.6044e-07 eta: 3:01:42 time: 0.6816 data_time: 0.0109 memory: 51970 grad_norm: 0.1317 loss: 0.0300 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.7679 recall@top3: 0.8452 prec@top3: 0.6429 recall@top5: 0.9107 prec@top5: 0.4214 loss_action_cls: 0.0300 2023/03/11 08:59:11 - mmengine - INFO - Epoch(train) [17][2700/4451] lr: 3.5953e-07 eta: 3:01:27 time: 0.6092 data_time: 0.0135 memory: 51970 grad_norm: 0.1364 loss: 0.0264 recall@thr=0.5: 0.8206 prec@thr=0.5: 0.8095 recall@top3: 0.8302 prec@top3: 0.4921 recall@top5: 0.8952 prec@top5: 0.3429 loss_action_cls: 0.0264 2023/03/11 08:59:24 - mmengine - INFO - Epoch(train) [17][2720/4451] lr: 3.5861e-07 eta: 3:01:12 time: 0.6697 data_time: 0.0125 memory: 51970 grad_norm: 0.1370 loss: 0.0259 recall@thr=0.5: 0.8819 prec@thr=0.5: 0.8889 recall@top3: 0.9028 prec@top3: 0.7361 recall@top5: 1.0000 prec@top5: 0.5083 loss_action_cls: 0.0259 2023/03/11 08:59:35 - mmengine - INFO - Epoch(train) [17][2740/4451] lr: 3.5770e-07 eta: 3:00:57 time: 0.5248 data_time: 0.0122 memory: 51970 grad_norm: 0.1381 loss: 0.0314 recall@thr=0.5: 0.6883 prec@thr=0.5: 0.6068 recall@top3: 0.7840 prec@top3: 0.6049 recall@top5: 0.9043 prec@top5: 0.4370 loss_action_cls: 0.0314 2023/03/11 08:59:48 - mmengine - INFO - Epoch(train) [17][2760/4451] lr: 3.5679e-07 eta: 3:00:42 time: 0.6615 data_time: 0.0131 memory: 51970 grad_norm: 0.1367 loss: 0.0284 recall@thr=0.5: 0.7375 prec@thr=0.5: 0.7875 recall@top3: 0.9375 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0284 2023/03/11 08:59:59 - mmengine - INFO - Epoch(train) [17][2780/4451] lr: 3.5589e-07 eta: 3:00:27 time: 0.5755 data_time: 0.0127 memory: 51970 grad_norm: 0.1353 loss: 0.0285 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8333 recall@top3: 1.0000 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0285 2023/03/11 09:00:03 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 09:00:14 - mmengine - INFO - Epoch(train) [17][2800/4451] lr: 3.5498e-07 eta: 3:00:13 time: 0.7462 data_time: 0.0135 memory: 51970 grad_norm: 0.1334 loss: 0.0316 recall@thr=0.5: 0.6742 prec@thr=0.5: 0.6500 recall@top3: 0.8750 prec@top3: 0.5758 recall@top5: 0.9318 prec@top5: 0.3727 loss_action_cls: 0.0316 2023/03/11 09:00:25 - mmengine - INFO - Epoch(train) [17][2820/4451] lr: 3.5407e-07 eta: 2:59:58 time: 0.5188 data_time: 0.0128 memory: 51970 grad_norm: 0.1344 loss: 0.0334 recall@thr=0.5: 0.6894 prec@thr=0.5: 0.7348 recall@top3: 0.7765 prec@top3: 0.6061 recall@top5: 0.9773 prec@top5: 0.4727 loss_action_cls: 0.0334 2023/03/11 09:00:37 - mmengine - INFO - Epoch(train) [17][2840/4451] lr: 3.5317e-07 eta: 2:59:43 time: 0.6434 data_time: 0.0130 memory: 51970 grad_norm: 0.1358 loss: 0.0247 recall@thr=0.5: 0.9298 prec@thr=0.5: 0.8114 recall@top3: 0.9561 prec@top3: 0.7368 recall@top5: 0.9737 prec@top5: 0.4526 loss_action_cls: 0.0247 2023/03/11 09:00:50 - mmengine - INFO - Epoch(train) [17][2860/4451] lr: 3.5226e-07 eta: 2:59:28 time: 0.6418 data_time: 0.0125 memory: 51970 grad_norm: 0.1401 loss: 0.0301 recall@thr=0.5: 0.7133 prec@thr=0.5: 0.8000 recall@top3: 0.8600 prec@top3: 0.7067 recall@top5: 0.9600 prec@top5: 0.4880 loss_action_cls: 0.0301 2023/03/11 09:01:34 - mmengine - INFO - Epoch(train) [17][2880/4451] lr: 3.5136e-07 eta: 2:59:20 time: 2.1817 data_time: 0.0748 memory: 51970 grad_norm: 0.1368 loss: 0.0294 recall@thr=0.5: 0.8551 prec@thr=0.5: 0.7754 recall@top3: 0.9710 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4174 loss_action_cls: 0.0294 2023/03/11 09:02:10 - mmengine - INFO - Epoch(train) [17][2900/4451] lr: 3.5046e-07 eta: 2:59:10 time: 1.8109 data_time: 0.0138 memory: 51970 grad_norm: 0.1413 loss: 0.0274 recall@thr=0.5: 0.8250 prec@thr=0.5: 0.8417 recall@top3: 0.9500 prec@top3: 0.6833 recall@top5: 0.9833 prec@top5: 0.4300 loss_action_cls: 0.0274 2023/03/11 09:02:48 - mmengine - INFO - Epoch(train) [17][2920/4451] lr: 3.4956e-07 eta: 2:59:00 time: 1.9135 data_time: 0.0950 memory: 51970 grad_norm: 0.1413 loss: 0.0308 recall@thr=0.5: 0.8676 prec@thr=0.5: 0.9118 recall@top3: 0.9069 prec@top3: 0.6275 recall@top5: 0.9657 prec@top5: 0.4118 loss_action_cls: 0.0308 2023/03/11 09:03:22 - mmengine - INFO - Epoch(train) [17][2940/4451] lr: 3.4866e-07 eta: 2:58:49 time: 1.6754 data_time: 0.0721 memory: 51970 grad_norm: 0.1339 loss: 0.0276 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8571 recall@top3: 0.9484 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4381 loss_action_cls: 0.0276 2023/03/11 09:04:01 - mmengine - INFO - Epoch(train) [17][2960/4451] lr: 3.4776e-07 eta: 2:58:40 time: 1.9602 data_time: 0.0391 memory: 51970 grad_norm: 0.1372 loss: 0.0283 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.6190 recall@top3: 0.8254 prec@top3: 0.5397 recall@top5: 0.8651 prec@top5: 0.3524 loss_action_cls: 0.0283 2023/03/11 09:04:38 - mmengine - INFO - Epoch(train) [17][2980/4451] lr: 3.4686e-07 eta: 2:58:30 time: 1.8186 data_time: 0.0813 memory: 51970 grad_norm: 0.1380 loss: 0.0278 recall@thr=0.5: 0.8235 prec@thr=0.5: 0.8235 recall@top3: 0.9804 prec@top3: 0.6471 recall@top5: 0.9804 prec@top5: 0.3882 loss_action_cls: 0.0278 2023/03/11 09:05:26 - mmengine - INFO - Epoch(train) [17][3000/4451] lr: 3.4596e-07 eta: 2:58:22 time: 2.4058 data_time: 0.0797 memory: 51970 grad_norm: 0.1330 loss: 0.0317 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.7969 recall@top3: 0.7708 prec@top3: 0.6250 recall@top5: 0.9688 prec@top5: 0.4750 loss_action_cls: 0.0317 2023/03/11 09:05:58 - mmengine - INFO - Epoch(train) [17][3020/4451] lr: 3.4507e-07 eta: 2:58:11 time: 1.6285 data_time: 0.0126 memory: 51970 grad_norm: 0.1432 loss: 0.0286 recall@thr=0.5: 0.7656 prec@thr=0.5: 0.8490 recall@top3: 0.9271 prec@top3: 0.6458 recall@top5: 0.9479 prec@top5: 0.4000 loss_action_cls: 0.0286 2023/03/11 09:06:43 - mmengine - INFO - Epoch(train) [17][3040/4451] lr: 3.4417e-07 eta: 2:58:03 time: 2.2368 data_time: 0.0129 memory: 51970 grad_norm: 0.1300 loss: 0.0284 recall@thr=0.5: 0.8596 prec@thr=0.5: 0.9430 recall@top3: 0.9035 prec@top3: 0.8772 recall@top5: 1.0000 prec@top5: 0.6000 loss_action_cls: 0.0284 2023/03/11 09:07:14 - mmengine - INFO - Epoch(train) [17][3060/4451] lr: 3.4328e-07 eta: 2:57:52 time: 1.5658 data_time: 0.0123 memory: 51970 grad_norm: 0.1325 loss: 0.0283 recall@thr=0.5: 0.7874 prec@thr=0.5: 0.8333 recall@top3: 0.9052 prec@top3: 0.7471 recall@top5: 0.9885 prec@top5: 0.5241 loss_action_cls: 0.0283 2023/03/11 09:07:56 - mmengine - INFO - Epoch(train) [17][3080/4451] lr: 3.4238e-07 eta: 2:57:43 time: 2.0909 data_time: 0.0130 memory: 51970 grad_norm: 0.1362 loss: 0.0353 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7315 recall@top3: 0.7778 prec@top3: 0.6667 recall@top5: 0.9722 prec@top5: 0.4889 loss_action_cls: 0.0353 2023/03/11 09:08:23 - mmengine - INFO - Epoch(train) [17][3100/4451] lr: 3.4149e-07 eta: 2:57:31 time: 1.3599 data_time: 0.0153 memory: 51970 grad_norm: 0.1377 loss: 0.0270 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8241 recall@top3: 0.9722 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0270 2023/03/11 09:09:07 - mmengine - INFO - Epoch(train) [17][3120/4451] lr: 3.4060e-07 eta: 2:57:22 time: 2.1922 data_time: 0.0136 memory: 51970 grad_norm: 0.1382 loss: 0.0319 recall@thr=0.5: 0.8810 prec@thr=0.5: 0.9762 recall@top3: 0.9762 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.4952 loss_action_cls: 0.0319 2023/03/11 09:09:38 - mmengine - INFO - Epoch(train) [17][3140/4451] lr: 3.3971e-07 eta: 2:57:11 time: 1.5582 data_time: 0.0150 memory: 51970 grad_norm: 0.1322 loss: 0.0281 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.4649 recall@top3: 0.6754 prec@top3: 0.3860 recall@top5: 0.7895 prec@top5: 0.2842 loss_action_cls: 0.0281 2023/03/11 09:10:21 - mmengine - INFO - Epoch(train) [17][3160/4451] lr: 3.3882e-07 eta: 2:57:02 time: 2.1216 data_time: 0.0136 memory: 51970 grad_norm: 0.1378 loss: 0.0279 recall@thr=0.5: 0.7941 prec@thr=0.5: 0.7696 recall@top3: 0.8824 prec@top3: 0.6863 recall@top5: 0.9706 prec@top5: 0.4706 loss_action_cls: 0.0279 2023/03/11 09:10:59 - mmengine - INFO - Epoch(train) [17][3180/4451] lr: 3.3793e-07 eta: 2:56:52 time: 1.9062 data_time: 0.0134 memory: 51970 grad_norm: 0.1308 loss: 0.0312 recall@thr=0.5: 0.5583 prec@thr=0.5: 0.6894 recall@top3: 0.8652 prec@top3: 0.7424 recall@top5: 0.9212 prec@top5: 0.4909 loss_action_cls: 0.0312 2023/03/11 09:11:40 - mmengine - INFO - Epoch(train) [17][3200/4451] lr: 3.3705e-07 eta: 2:56:43 time: 2.0554 data_time: 0.0136 memory: 51970 grad_norm: 0.1390 loss: 0.0300 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.9058 recall@top3: 0.9565 prec@top3: 0.8116 recall@top5: 1.0000 prec@top5: 0.5130 loss_action_cls: 0.0300 2023/03/11 09:12:10 - mmengine - INFO - Epoch(train) [17][3220/4451] lr: 3.3616e-07 eta: 2:56:31 time: 1.5184 data_time: 0.0150 memory: 51970 grad_norm: 0.1347 loss: 0.0281 recall@thr=0.5: 0.8038 prec@thr=0.5: 0.7417 recall@top3: 0.7402 prec@top3: 0.7576 recall@top5: 0.9591 prec@top5: 0.6273 loss_action_cls: 0.0281 2023/03/11 09:12:54 - mmengine - INFO - Epoch(train) [17][3240/4451] lr: 3.3528e-07 eta: 2:56:22 time: 2.1876 data_time: 0.0118 memory: 51970 grad_norm: 0.1379 loss: 0.0317 recall@thr=0.5: 0.7340 prec@thr=0.5: 0.7707 recall@top3: 0.7467 prec@top3: 0.6800 recall@top5: 0.8607 prec@top5: 0.5120 loss_action_cls: 0.0317 2023/03/11 09:13:28 - mmengine - INFO - Epoch(train) [17][3260/4451] lr: 3.3439e-07 eta: 2:56:12 time: 1.6985 data_time: 0.0156 memory: 51970 grad_norm: 0.1356 loss: 0.0264 recall@thr=0.5: 0.6944 prec@thr=0.5: 0.8843 recall@top3: 0.7176 prec@top3: 0.7037 recall@top5: 0.9537 prec@top5: 0.5778 loss_action_cls: 0.0264 2023/03/11 09:14:08 - mmengine - INFO - Epoch(train) [17][3280/4451] lr: 3.3351e-07 eta: 2:56:02 time: 2.0003 data_time: 0.0128 memory: 51970 grad_norm: 0.1324 loss: 0.0302 recall@thr=0.5: 0.6250 prec@thr=0.5: 0.6875 recall@top3: 0.8611 prec@top3: 0.5417 recall@top5: 0.9479 prec@top5: 0.3583 loss_action_cls: 0.0302 2023/03/11 09:14:44 - mmengine - INFO - Epoch(train) [17][3300/4451] lr: 3.3263e-07 eta: 2:55:52 time: 1.7796 data_time: 0.0160 memory: 51970 grad_norm: 0.1361 loss: 0.0283 recall@thr=0.5: 0.8636 prec@thr=0.5: 0.8864 recall@top3: 0.9242 prec@top3: 0.6515 recall@top5: 1.0000 prec@top5: 0.4364 loss_action_cls: 0.0283 2023/03/11 09:15:19 - mmengine - INFO - Epoch(train) [17][3320/4451] lr: 3.3175e-07 eta: 2:55:41 time: 1.7523 data_time: 0.0113 memory: 51970 grad_norm: 0.1346 loss: 0.0281 recall@thr=0.5: 0.8299 prec@thr=0.5: 0.8285 recall@top3: 0.8854 prec@top3: 0.7917 recall@top5: 0.9583 prec@top5: 0.5333 loss_action_cls: 0.0281 2023/03/11 09:15:59 - mmengine - INFO - Epoch(train) [17][3340/4451] lr: 3.3087e-07 eta: 2:55:32 time: 2.0165 data_time: 0.0134 memory: 51970 grad_norm: 0.1395 loss: 0.0322 recall@thr=0.5: 0.8274 prec@thr=0.5: 0.9583 recall@top3: 0.8571 prec@top3: 0.6190 recall@top5: 0.9524 prec@top5: 0.4429 loss_action_cls: 0.0322 2023/03/11 09:16:31 - mmengine - INFO - Epoch(train) [17][3360/4451] lr: 3.2999e-07 eta: 2:55:20 time: 1.6158 data_time: 0.0138 memory: 51970 grad_norm: 0.1387 loss: 0.0281 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.8889 recall@top3: 0.9074 prec@top3: 0.6296 recall@top5: 0.9074 prec@top5: 0.3778 loss_action_cls: 0.0281 2023/03/11 09:17:15 - mmengine - INFO - Epoch(train) [17][3380/4451] lr: 3.2911e-07 eta: 2:55:11 time: 2.1563 data_time: 0.0134 memory: 51970 grad_norm: 0.1402 loss: 0.0313 recall@thr=0.5: 0.8431 prec@thr=0.5: 0.8725 recall@top3: 0.9020 prec@top3: 0.8431 recall@top5: 0.9804 prec@top5: 0.5412 loss_action_cls: 0.0313 2023/03/11 09:17:47 - mmengine - INFO - Epoch(train) [17][3400/4451] lr: 3.2823e-07 eta: 2:55:00 time: 1.6290 data_time: 0.0145 memory: 51970 grad_norm: 0.1304 loss: 0.0277 recall@thr=0.5: 0.8482 prec@thr=0.5: 0.8155 recall@top3: 0.9315 prec@top3: 0.7619 recall@top5: 0.9405 prec@top5: 0.4643 loss_action_cls: 0.0277 2023/03/11 09:18:28 - mmengine - INFO - Epoch(train) [17][3420/4451] lr: 3.2736e-07 eta: 2:54:51 time: 2.0376 data_time: 0.0134 memory: 51970 grad_norm: 0.1359 loss: 0.0287 recall@thr=0.5: 0.6746 prec@thr=0.5: 0.8810 recall@top3: 0.8730 prec@top3: 0.7619 recall@top5: 0.9365 prec@top5: 0.4952 loss_action_cls: 0.0287 2023/03/11 09:18:59 - mmengine - INFO - Epoch(train) [17][3440/4451] lr: 3.2648e-07 eta: 2:54:39 time: 1.5484 data_time: 0.0136 memory: 51970 grad_norm: 0.1359 loss: 0.0286 recall@thr=0.5: 0.6714 prec@thr=0.5: 0.7024 recall@top3: 0.8302 prec@top3: 0.5079 recall@top5: 0.9032 prec@top5: 0.3333 loss_action_cls: 0.0286 2023/03/11 09:19:43 - mmengine - INFO - Epoch(train) [17][3460/4451] lr: 3.2561e-07 eta: 2:54:30 time: 2.2012 data_time: 0.0136 memory: 51970 grad_norm: 0.1419 loss: 0.0328 recall@thr=0.5: 0.6722 prec@thr=0.5: 0.6000 recall@top3: 0.8944 prec@top3: 0.7111 recall@top5: 0.9556 prec@top5: 0.4667 loss_action_cls: 0.0328 2023/03/11 09:20:16 - mmengine - INFO - Epoch(train) [17][3480/4451] lr: 3.2474e-07 eta: 2:54:19 time: 1.6357 data_time: 0.0140 memory: 51970 grad_norm: 0.1346 loss: 0.0272 recall@thr=0.5: 0.9286 prec@thr=0.5: 0.8929 recall@top3: 0.9286 prec@top3: 0.6984 recall@top5: 0.9881 prec@top5: 0.4571 loss_action_cls: 0.0272 2023/03/11 09:21:00 - mmengine - INFO - Epoch(train) [17][3500/4451] lr: 3.2387e-07 eta: 2:54:10 time: 2.1999 data_time: 0.0127 memory: 51970 grad_norm: 0.1404 loss: 0.0269 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.7685 recall@top3: 0.8889 prec@top3: 0.6296 recall@top5: 0.9815 prec@top5: 0.4222 loss_action_cls: 0.0269 2023/03/11 09:21:31 - mmengine - INFO - Epoch(train) [17][3520/4451] lr: 3.2299e-07 eta: 2:53:59 time: 1.5884 data_time: 0.0138 memory: 51970 grad_norm: 0.1359 loss: 0.0256 recall@thr=0.5: 0.8906 prec@thr=0.5: 0.8698 recall@top3: 0.8750 prec@top3: 0.6771 recall@top5: 0.9375 prec@top5: 0.4500 loss_action_cls: 0.0256 2023/03/11 09:22:12 - mmengine - INFO - Epoch(train) [17][3540/4451] lr: 3.2212e-07 eta: 2:53:49 time: 2.0295 data_time: 0.0133 memory: 51970 grad_norm: 0.1375 loss: 0.0291 recall@thr=0.5: 0.6958 prec@thr=0.5: 0.6417 recall@top3: 0.8042 prec@top3: 0.5000 recall@top5: 1.0000 prec@top5: 0.3600 loss_action_cls: 0.0291 2023/03/11 09:22:42 - mmengine - INFO - Epoch(train) [17][3560/4451] lr: 3.2126e-07 eta: 2:53:38 time: 1.5060 data_time: 0.0133 memory: 51970 grad_norm: 0.1363 loss: 0.0276 recall@thr=0.5: 0.7059 prec@thr=0.5: 0.7059 recall@top3: 0.7255 prec@top3: 0.6863 recall@top5: 0.8088 prec@top5: 0.4706 loss_action_cls: 0.0276 2023/03/11 09:23:27 - mmengine - INFO - Epoch(train) [17][3580/4451] lr: 3.2039e-07 eta: 2:53:29 time: 2.2388 data_time: 0.0142 memory: 51970 grad_norm: 0.1326 loss: 0.0282 recall@thr=0.5: 0.7895 prec@thr=0.5: 0.7544 recall@top3: 0.8947 prec@top3: 0.6140 recall@top5: 0.9211 prec@top5: 0.3789 loss_action_cls: 0.0282 2023/03/11 09:23:58 - mmengine - INFO - Epoch(train) [17][3600/4451] lr: 3.1952e-07 eta: 2:53:17 time: 1.5744 data_time: 0.0132 memory: 51970 grad_norm: 0.1448 loss: 0.0295 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8684 recall@top3: 0.8772 prec@top3: 0.7018 recall@top5: 0.9298 prec@top5: 0.4526 loss_action_cls: 0.0295 2023/03/11 09:24:41 - mmengine - INFO - Epoch(train) [17][3620/4451] lr: 3.1866e-07 eta: 2:53:08 time: 2.1378 data_time: 0.0140 memory: 51970 grad_norm: 0.1368 loss: 0.0246 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.9292 recall@top3: 0.9083 prec@top3: 0.7833 recall@top5: 1.0000 prec@top5: 0.5200 loss_action_cls: 0.0246 2023/03/11 09:25:16 - mmengine - INFO - Epoch(train) [17][3640/4451] lr: 3.1779e-07 eta: 2:52:57 time: 1.7565 data_time: 0.0127 memory: 51970 grad_norm: 0.1473 loss: 0.0317 recall@thr=0.5: 0.5263 prec@thr=0.5: 0.6404 recall@top3: 0.8333 prec@top3: 0.5614 recall@top5: 0.9474 prec@top5: 0.4000 loss_action_cls: 0.0317 2023/03/11 09:25:58 - mmengine - INFO - Epoch(train) [17][3660/4451] lr: 3.1693e-07 eta: 2:52:48 time: 2.0749 data_time: 0.0155 memory: 51970 grad_norm: 0.1376 loss: 0.0302 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7778 recall@top3: 0.8413 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4952 loss_action_cls: 0.0302 2023/03/11 09:26:30 - mmengine - INFO - Epoch(train) [17][3680/4451] lr: 3.1607e-07 eta: 2:52:36 time: 1.6117 data_time: 0.0140 memory: 51970 grad_norm: 0.1327 loss: 0.0248 recall@thr=0.5: 0.6848 prec@thr=0.5: 0.7727 recall@top3: 0.7909 prec@top3: 0.5909 recall@top5: 0.8811 prec@top5: 0.4091 loss_action_cls: 0.0248 2023/03/11 09:27:10 - mmengine - INFO - Epoch(train) [17][3700/4451] lr: 3.1521e-07 eta: 2:52:26 time: 1.9735 data_time: 0.0126 memory: 51970 grad_norm: 0.1343 loss: 0.0292 recall@thr=0.5: 0.7893 prec@thr=0.5: 0.8571 recall@top3: 0.8792 prec@top3: 0.6071 recall@top5: 0.9286 prec@top5: 0.4071 loss_action_cls: 0.0292 2023/03/11 09:27:45 - mmengine - INFO - Epoch(train) [17][3720/4451] lr: 3.1434e-07 eta: 2:52:16 time: 1.7909 data_time: 0.0134 memory: 51970 grad_norm: 0.1344 loss: 0.0349 recall@thr=0.5: 0.5679 prec@thr=0.5: 0.7244 recall@top3: 0.6795 prec@top3: 0.7051 recall@top5: 0.8538 prec@top5: 0.5385 loss_action_cls: 0.0349 2023/03/11 09:28:19 - mmengine - INFO - Epoch(train) [17][3740/4451] lr: 3.1349e-07 eta: 2:52:04 time: 1.6800 data_time: 0.0132 memory: 51970 grad_norm: 0.1359 loss: 0.0311 recall@thr=0.5: 0.7738 prec@thr=0.5: 0.8810 recall@top3: 1.0000 prec@top3: 0.6905 recall@top5: 1.0000 prec@top5: 0.4143 loss_action_cls: 0.0311 2023/03/11 09:28:58 - mmengine - INFO - Epoch(train) [17][3760/4451] lr: 3.1263e-07 eta: 2:51:54 time: 1.9491 data_time: 0.0137 memory: 51970 grad_norm: 0.1341 loss: 0.0238 recall@thr=0.5: 0.7424 prec@thr=0.5: 0.7727 recall@top3: 0.8939 prec@top3: 0.5758 recall@top5: 0.9242 prec@top5: 0.3636 loss_action_cls: 0.0238 2023/03/11 09:29:37 - mmengine - INFO - Epoch(train) [17][3780/4451] lr: 3.1177e-07 eta: 2:51:44 time: 1.9340 data_time: 0.1602 memory: 51970 grad_norm: 0.1386 loss: 0.0314 recall@thr=0.5: 0.7870 prec@thr=0.5: 0.7454 recall@top3: 0.8981 prec@top3: 0.5370 recall@top5: 0.9167 prec@top5: 0.3333 loss_action_cls: 0.0314 2023/03/11 09:29:45 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 09:30:13 - mmengine - INFO - Epoch(train) [17][3800/4451] lr: 3.1091e-07 eta: 2:51:33 time: 1.8062 data_time: 0.0974 memory: 51970 grad_norm: 0.1317 loss: 0.0316 recall@thr=0.5: 0.7404 prec@thr=0.5: 0.8202 recall@top3: 0.7947 prec@top3: 0.6667 recall@top5: 0.8754 prec@top5: 0.4526 loss_action_cls: 0.0316 2023/03/11 09:30:51 - mmengine - INFO - Epoch(train) [17][3820/4451] lr: 3.1006e-07 eta: 2:51:23 time: 1.8856 data_time: 0.0835 memory: 51970 grad_norm: 0.1393 loss: 0.0286 recall@thr=0.5: 0.9737 prec@thr=0.5: 0.9123 recall@top3: 0.9737 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0286 2023/03/11 09:31:23 - mmengine - INFO - Epoch(train) [17][3840/4451] lr: 3.0920e-07 eta: 2:51:12 time: 1.6360 data_time: 0.1919 memory: 51970 grad_norm: 0.1307 loss: 0.0290 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6782 recall@top3: 0.7931 prec@top3: 0.5862 recall@top5: 0.9569 prec@top5: 0.4207 loss_action_cls: 0.0290 2023/03/11 09:32:03 - mmengine - INFO - Epoch(train) [17][3860/4451] lr: 3.0835e-07 eta: 2:51:02 time: 1.9888 data_time: 0.0135 memory: 51970 grad_norm: 0.1316 loss: 0.0288 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8417 recall@top3: 0.8583 prec@top3: 0.7167 recall@top5: 0.9417 prec@top5: 0.4600 loss_action_cls: 0.0288 2023/03/11 09:32:34 - mmengine - INFO - Epoch(train) [17][3880/4451] lr: 3.0750e-07 eta: 2:50:50 time: 1.5248 data_time: 0.0151 memory: 51970 grad_norm: 0.1363 loss: 0.0326 recall@thr=0.5: 0.9333 prec@thr=0.5: 0.9778 recall@top3: 0.9556 prec@top3: 0.8000 recall@top5: 1.0000 prec@top5: 0.5067 loss_action_cls: 0.0326 2023/03/11 09:33:16 - mmengine - INFO - Epoch(train) [17][3900/4451] lr: 3.0665e-07 eta: 2:50:40 time: 2.1305 data_time: 0.0132 memory: 51970 grad_norm: 0.1430 loss: 0.0295 recall@thr=0.5: 0.9101 prec@thr=0.5: 0.9696 recall@top3: 0.8710 prec@top3: 0.9130 recall@top5: 1.0000 prec@top5: 0.6522 loss_action_cls: 0.0295 2023/03/11 09:33:46 - mmengine - INFO - Epoch(train) [17][3920/4451] lr: 3.0580e-07 eta: 2:50:28 time: 1.5075 data_time: 0.1245 memory: 51970 grad_norm: 0.1357 loss: 0.0283 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.7460 recall@top3: 0.9365 prec@top3: 0.5397 recall@top5: 0.9762 prec@top5: 0.3429 loss_action_cls: 0.0283 2023/03/11 09:34:29 - mmengine - INFO - Epoch(train) [17][3940/4451] lr: 3.0495e-07 eta: 2:50:19 time: 2.1290 data_time: 0.0479 memory: 51970 grad_norm: 0.1350 loss: 0.0265 recall@thr=0.5: 0.7685 prec@thr=0.5: 0.8025 recall@top3: 0.8426 prec@top3: 0.5802 recall@top5: 0.9198 prec@top5: 0.3852 loss_action_cls: 0.0265 2023/03/11 09:35:03 - mmengine - INFO - Epoch(train) [17][3960/4451] lr: 3.0410e-07 eta: 2:50:08 time: 1.6906 data_time: 0.0160 memory: 51970 grad_norm: 0.1366 loss: 0.0275 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.9236 recall@top3: 0.8264 prec@top3: 0.6528 recall@top5: 0.9792 prec@top5: 0.4917 loss_action_cls: 0.0275 2023/03/11 09:35:44 - mmengine - INFO - Epoch(train) [17][3980/4451] lr: 3.0326e-07 eta: 2:49:58 time: 2.0478 data_time: 0.0130 memory: 51970 grad_norm: 0.1436 loss: 0.0287 recall@thr=0.5: 0.6444 prec@thr=0.5: 0.8333 recall@top3: 0.8278 prec@top3: 0.7333 recall@top5: 0.9611 prec@top5: 0.5333 loss_action_cls: 0.0287 2023/03/11 09:36:19 - mmengine - INFO - Epoch(train) [17][4000/4451] lr: 3.0241e-07 eta: 2:49:47 time: 1.7465 data_time: 0.0136 memory: 51970 grad_norm: 0.1403 loss: 0.0302 recall@thr=0.5: 0.7549 prec@thr=0.5: 0.7647 recall@top3: 0.9510 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0302 2023/03/11 09:37:00 - mmengine - INFO - Epoch(train) [17][4020/4451] lr: 3.0157e-07 eta: 2:49:37 time: 2.0883 data_time: 0.0124 memory: 51970 grad_norm: 0.1372 loss: 0.0278 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.6754 recall@top3: 0.8860 prec@top3: 0.5439 recall@top5: 0.9298 prec@top5: 0.3579 loss_action_cls: 0.0278 2023/03/11 09:37:38 - mmengine - INFO - Epoch(train) [17][4040/4451] lr: 3.0072e-07 eta: 2:49:26 time: 1.8592 data_time: 0.0133 memory: 51970 grad_norm: 0.1388 loss: 0.0300 recall@thr=0.5: 0.8768 prec@thr=0.5: 0.9275 recall@top3: 0.9348 prec@top3: 0.7391 recall@top5: 1.0000 prec@top5: 0.4957 loss_action_cls: 0.0300 2023/03/11 09:38:17 - mmengine - INFO - Epoch(train) [17][4060/4451] lr: 2.9988e-07 eta: 2:49:16 time: 1.9727 data_time: 0.0138 memory: 51970 grad_norm: 0.1369 loss: 0.0300 recall@thr=0.5: 0.7593 prec@thr=0.5: 0.7870 recall@top3: 0.8889 prec@top3: 0.7593 recall@top5: 0.9815 prec@top5: 0.5111 loss_action_cls: 0.0300 2023/03/11 09:38:35 - mmengine - INFO - Epoch(train) [17][4080/4451] lr: 2.9904e-07 eta: 2:49:02 time: 0.8982 data_time: 0.0136 memory: 51970 grad_norm: 0.1397 loss: 0.0281 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.8684 recall@top3: 0.8509 prec@top3: 0.4912 recall@top5: 1.0000 prec@top5: 0.3684 loss_action_cls: 0.0281 2023/03/11 09:39:19 - mmengine - INFO - Epoch(train) [17][4100/4451] lr: 2.9820e-07 eta: 2:48:52 time: 2.2027 data_time: 0.0136 memory: 51970 grad_norm: 0.1323 loss: 0.0294 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7500 recall@top3: 0.7976 prec@top3: 0.5833 recall@top5: 0.9018 prec@top5: 0.4071 loss_action_cls: 0.0294 2023/03/11 09:40:16 - mmengine - INFO - Epoch(train) [17][4120/4451] lr: 2.9736e-07 eta: 2:48:45 time: 2.8558 data_time: 0.0144 memory: 51970 grad_norm: 0.1413 loss: 0.0279 recall@thr=0.5: 0.6556 prec@thr=0.5: 0.6867 recall@top3: 0.8667 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4800 loss_action_cls: 0.0279 2023/03/11 09:41:06 - mmengine - INFO - Epoch(train) [17][4140/4451] lr: 2.9652e-07 eta: 2:48:37 time: 2.5170 data_time: 0.0132 memory: 51970 grad_norm: 0.1439 loss: 0.0300 recall@thr=0.5: 0.6783 prec@thr=0.5: 0.8250 recall@top3: 0.7933 prec@top3: 0.6333 recall@top5: 0.9417 prec@top5: 0.4700 loss_action_cls: 0.0300 2023/03/11 09:41:55 - mmengine - INFO - Epoch(train) [17][4160/4451] lr: 2.9568e-07 eta: 2:48:28 time: 2.4015 data_time: 0.0144 memory: 51970 grad_norm: 0.1318 loss: 0.0287 recall@thr=0.5: 0.7681 prec@thr=0.5: 0.7681 recall@top3: 0.8551 prec@top3: 0.4783 recall@top5: 0.9239 prec@top5: 0.3217 loss_action_cls: 0.0287 2023/03/11 09:42:46 - mmengine - INFO - Epoch(train) [17][4180/4451] lr: 2.9485e-07 eta: 2:48:20 time: 2.5544 data_time: 0.0134 memory: 51970 grad_norm: 0.1352 loss: 0.0299 recall@thr=0.5: 0.5897 prec@thr=0.5: 0.7628 recall@top3: 0.8269 prec@top3: 0.5385 recall@top5: 0.9231 prec@top5: 0.3615 loss_action_cls: 0.0299 2023/03/11 09:43:20 - mmengine - INFO - Epoch(train) [17][4200/4451] lr: 2.9401e-07 eta: 2:48:08 time: 1.6955 data_time: 0.0151 memory: 51970 grad_norm: 0.1403 loss: 0.0283 recall@thr=0.5: 0.7464 prec@thr=0.5: 0.7609 recall@top3: 0.7428 prec@top3: 0.6377 recall@top5: 0.9130 prec@top5: 0.4696 loss_action_cls: 0.0283 2023/03/11 09:43:31 - mmengine - INFO - Epoch(train) [17][4220/4451] lr: 2.9318e-07 eta: 2:47:53 time: 0.5873 data_time: 0.0130 memory: 51970 grad_norm: 0.1354 loss: 0.0284 recall@thr=0.5: 0.8667 prec@thr=0.5: 0.8733 recall@top3: 0.8833 prec@top3: 0.7667 recall@top5: 0.9417 prec@top5: 0.4900 loss_action_cls: 0.0284 2023/03/11 09:43:44 - mmengine - INFO - Epoch(train) [17][4240/4451] lr: 2.9234e-07 eta: 2:47:38 time: 0.6215 data_time: 0.0177 memory: 51970 grad_norm: 0.1370 loss: 0.0295 recall@thr=0.5: 0.7776 prec@thr=0.5: 0.8305 recall@top3: 0.7902 prec@top3: 0.8276 recall@top5: 0.9713 prec@top5: 0.6552 loss_action_cls: 0.0295 2023/03/11 09:43:56 - mmengine - INFO - Epoch(train) [17][4260/4451] lr: 2.9151e-07 eta: 2:47:22 time: 0.6055 data_time: 0.0115 memory: 51970 grad_norm: 0.1393 loss: 0.0301 recall@thr=0.5: 0.6515 prec@thr=0.5: 0.7576 recall@top3: 0.8826 prec@top3: 0.7121 recall@top5: 0.9659 prec@top5: 0.4818 loss_action_cls: 0.0301 2023/03/11 09:44:10 - mmengine - INFO - Epoch(train) [17][4280/4451] lr: 2.9068e-07 eta: 2:47:07 time: 0.6944 data_time: 0.0138 memory: 51970 grad_norm: 0.1474 loss: 0.0308 recall@thr=0.5: 0.7319 prec@thr=0.5: 0.7681 recall@top3: 0.7862 prec@top3: 0.7391 recall@top5: 0.9783 prec@top5: 0.5565 loss_action_cls: 0.0308 2023/03/11 09:44:22 - mmengine - INFO - Epoch(train) [17][4300/4451] lr: 2.8985e-07 eta: 2:46:52 time: 0.6025 data_time: 0.0121 memory: 51970 grad_norm: 0.1433 loss: 0.0318 recall@thr=0.5: 0.5109 prec@thr=0.5: 0.5833 recall@top3: 0.8587 prec@top3: 0.5797 recall@top5: 0.9783 prec@top5: 0.4000 loss_action_cls: 0.0318 2023/03/11 09:44:36 - mmengine - INFO - Epoch(train) [17][4320/4451] lr: 2.8902e-07 eta: 2:46:37 time: 0.6939 data_time: 0.0120 memory: 51970 grad_norm: 0.1358 loss: 0.0251 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.9333 recall@top3: 0.8889 prec@top3: 0.6222 recall@top5: 0.9333 prec@top5: 0.4000 loss_action_cls: 0.0251 2023/03/11 09:44:46 - mmengine - INFO - Epoch(train) [17][4340/4451] lr: 2.8819e-07 eta: 2:46:21 time: 0.5087 data_time: 0.0124 memory: 51970 grad_norm: 0.1388 loss: 0.0253 recall@thr=0.5: 0.8673 prec@thr=0.5: 0.8400 recall@top3: 0.9080 prec@top3: 0.7867 recall@top5: 1.0000 prec@top5: 0.5520 loss_action_cls: 0.0253 2023/03/11 09:45:00 - mmengine - INFO - Epoch(train) [17][4360/4451] lr: 2.8737e-07 eta: 2:46:06 time: 0.7021 data_time: 0.0124 memory: 51970 grad_norm: 0.1312 loss: 0.0287 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8043 recall@top3: 0.8913 prec@top3: 0.6377 recall@top5: 0.8913 prec@top5: 0.3826 loss_action_cls: 0.0287 2023/03/11 09:45:11 - mmengine - INFO - Epoch(train) [17][4380/4451] lr: 2.8654e-07 eta: 2:45:51 time: 0.5755 data_time: 0.0132 memory: 51970 grad_norm: 0.1334 loss: 0.0294 recall@thr=0.5: 0.6538 prec@thr=0.5: 0.7692 recall@top3: 0.8686 prec@top3: 0.5897 recall@top5: 0.9776 prec@top5: 0.3923 loss_action_cls: 0.0294 2023/03/11 09:45:25 - mmengine - INFO - Epoch(train) [17][4400/4451] lr: 2.8572e-07 eta: 2:45:36 time: 0.6553 data_time: 0.0141 memory: 51970 grad_norm: 0.1383 loss: 0.0288 recall@thr=0.5: 0.7564 prec@thr=0.5: 0.7692 recall@top3: 0.9551 prec@top3: 0.7179 recall@top5: 1.0000 prec@top5: 0.4615 loss_action_cls: 0.0288 2023/03/11 09:45:35 - mmengine - INFO - Epoch(train) [17][4420/4451] lr: 2.8489e-07 eta: 2:45:20 time: 0.5349 data_time: 0.0121 memory: 51970 grad_norm: 0.1366 loss: 0.0289 recall@thr=0.5: 0.6333 prec@thr=0.5: 0.7500 recall@top3: 0.8417 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.5300 loss_action_cls: 0.0289 2023/03/11 09:45:48 - mmengine - INFO - Epoch(train) [17][4440/4451] lr: 2.8407e-07 eta: 2:45:05 time: 0.6302 data_time: 0.0130 memory: 51970 grad_norm: 0.1340 loss: 0.0312 recall@thr=0.5: 0.6798 prec@thr=0.5: 0.7675 recall@top3: 0.9035 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4632 loss_action_cls: 0.0312 2023/03/11 09:45:52 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 09:45:52 - mmengine - INFO - Epoch(train) [17][4451/4451] lr: 2.8362e-07 eta: 2:44:56 time: 0.5025 data_time: 0.0113 memory: 51970 grad_norm: 0.1404 loss: 0.0298 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7917 recall@top3: 0.7812 prec@top3: 0.6458 recall@top5: 1.0000 prec@top5: 0.4750 loss_action_cls: 0.0298 2023/03/11 09:45:53 - mmengine - INFO - Saving checkpoint at 17 epochs 2023/03/11 09:45:59 - mmengine - INFO - Epoch(val) [17][ 20/6282] eta: 0:08:09 time: 0.0781 data_time: 0.0310 memory: 2331 2023/03/11 09:46:00 - mmengine - INFO - Epoch(val) [17][ 40/6282] eta: 0:06:42 time: 0.0508 data_time: 0.0073 memory: 2331 2023/03/11 09:46:01 - mmengine - INFO - Epoch(val) [17][ 60/6282] eta: 0:06:14 time: 0.0515 data_time: 0.0084 memory: 2331 2023/03/11 09:46:02 - mmengine - INFO - Epoch(val) [17][ 80/6282] eta: 0:05:49 time: 0.0447 data_time: 0.0018 memory: 2331 2023/03/11 09:46:03 - mmengine - INFO - Epoch(val) [17][ 100/6282] eta: 0:05:34 time: 0.0455 data_time: 0.0020 memory: 2331 2023/03/11 09:46:04 - mmengine - INFO - Epoch(val) [17][ 120/6282] eta: 0:05:35 time: 0.0564 data_time: 0.0023 memory: 2934 2023/03/11 09:46:05 - mmengine - INFO - Epoch(val) [17][ 140/6282] eta: 0:05:41 time: 0.0626 data_time: 0.0023 memory: 2934 2023/03/11 09:46:06 - mmengine - INFO - Epoch(val) [17][ 160/6282] eta: 0:05:46 time: 0.0638 data_time: 0.0024 memory: 2934 2023/03/11 09:46:08 - mmengine - INFO - Epoch(val) [17][ 180/6282] eta: 0:05:49 time: 0.0624 data_time: 0.0025 memory: 2934 2023/03/11 09:46:09 - mmengine - INFO - Epoch(val) [17][ 200/6282] eta: 0:05:50 time: 0.0608 data_time: 0.0023 memory: 2934 2023/03/11 09:46:10 - mmengine - INFO - Epoch(val) [17][ 220/6282] eta: 0:05:45 time: 0.0504 data_time: 0.0028 memory: 2396 2023/03/11 09:46:11 - mmengine - INFO - Epoch(val) [17][ 240/6282] eta: 0:05:40 time: 0.0494 data_time: 0.0029 memory: 2396 2023/03/11 09:46:12 - mmengine - INFO - Epoch(val) [17][ 260/6282] eta: 0:05:36 time: 0.0496 data_time: 0.0026 memory: 2396 2023/03/11 09:46:13 - mmengine - INFO - Epoch(val) [17][ 280/6282] eta: 0:05:34 time: 0.0550 data_time: 0.0089 memory: 2396 2023/03/11 09:46:14 - mmengine - INFO - Epoch(val) [17][ 300/6282] eta: 0:05:34 time: 0.0578 data_time: 0.0036 memory: 2934 2023/03/11 09:46:15 - mmengine - INFO - Epoch(val) [17][ 320/6282] eta: 0:05:36 time: 0.0629 data_time: 0.0025 memory: 2934 2023/03/11 09:46:17 - mmengine - INFO - Epoch(val) [17][ 340/6282] eta: 0:05:37 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/11 09:46:18 - mmengine - INFO - Epoch(val) [17][ 360/6282] eta: 0:05:38 time: 0.0636 data_time: 0.0024 memory: 2934 2023/03/11 09:46:19 - mmengine - INFO - Epoch(val) [17][ 380/6282] eta: 0:05:38 time: 0.0633 data_time: 0.0025 memory: 2934 2023/03/11 09:46:20 - mmengine - INFO - Epoch(val) [17][ 400/6282] eta: 0:05:37 time: 0.0573 data_time: 0.0023 memory: 2934 2023/03/11 09:46:21 - mmengine - INFO - Epoch(val) [17][ 420/6282] eta: 0:05:33 time: 0.0480 data_time: 0.0021 memory: 2397 2023/03/11 09:46:22 - mmengine - INFO - Epoch(val) [17][ 440/6282] eta: 0:05:30 time: 0.0475 data_time: 0.0022 memory: 2397 2023/03/11 09:46:23 - mmengine - INFO - Epoch(val) [17][ 460/6282] eta: 0:05:29 time: 0.0578 data_time: 0.0108 memory: 2397 2023/03/11 09:46:25 - mmengine - INFO - Epoch(val) [17][ 480/6282] eta: 0:05:27 time: 0.0548 data_time: 0.0097 memory: 2397 2023/03/11 09:46:26 - mmengine - INFO - Epoch(val) [17][ 500/6282] eta: 0:05:26 time: 0.0557 data_time: 0.0097 memory: 2397 2023/03/11 09:46:27 - mmengine - INFO - Epoch(val) [17][ 520/6282] eta: 0:05:25 time: 0.0569 data_time: 0.0103 memory: 2396 2023/03/11 09:46:28 - mmengine - INFO - Epoch(val) [17][ 540/6282] eta: 0:05:25 time: 0.0600 data_time: 0.0146 memory: 2396 2023/03/11 09:46:29 - mmengine - INFO - Epoch(val) [17][ 560/6282] eta: 0:05:24 time: 0.0592 data_time: 0.0136 memory: 2396 2023/03/11 09:46:30 - mmengine - INFO - Epoch(val) [17][ 580/6282] eta: 0:05:23 time: 0.0562 data_time: 0.0111 memory: 2396 2023/03/11 09:46:32 - mmengine - INFO - Epoch(val) [17][ 600/6282] eta: 0:05:23 time: 0.0611 data_time: 0.0161 memory: 2396 2023/03/11 09:46:33 - mmengine - INFO - Epoch(val) [17][ 620/6282] eta: 0:05:21 time: 0.0544 data_time: 0.0083 memory: 2396 2023/03/11 09:46:34 - mmengine - INFO - Epoch(val) [17][ 640/6282] eta: 0:05:18 time: 0.0480 data_time: 0.0032 memory: 2332 2023/03/11 09:46:35 - mmengine - INFO - Epoch(val) [17][ 660/6282] eta: 0:05:15 time: 0.0462 data_time: 0.0025 memory: 2332 2023/03/11 09:46:36 - mmengine - INFO - Epoch(val) [17][ 680/6282] eta: 0:05:13 time: 0.0496 data_time: 0.0035 memory: 2332 2023/03/11 09:46:37 - mmengine - INFO - Epoch(val) [17][ 700/6282] eta: 0:05:11 time: 0.0486 data_time: 0.0034 memory: 2332 2023/03/11 09:46:38 - mmengine - INFO - Epoch(val) [17][ 720/6282] eta: 0:05:13 time: 0.0778 data_time: 0.0210 memory: 2934 2023/03/11 09:46:40 - mmengine - INFO - Epoch(val) [17][ 740/6282] eta: 0:05:20 time: 0.1090 data_time: 0.0458 memory: 2934 2023/03/11 09:46:42 - mmengine - INFO - Epoch(val) [17][ 760/6282] eta: 0:05:24 time: 0.0925 data_time: 0.0307 memory: 2934 2023/03/11 09:46:44 - mmengine - INFO - Epoch(val) [17][ 780/6282] eta: 0:05:27 time: 0.0907 data_time: 0.0289 memory: 2934 2023/03/11 09:46:46 - mmengine - INFO - Epoch(val) [17][ 800/6282] eta: 0:05:29 time: 0.0834 data_time: 0.0217 memory: 2934 2023/03/11 09:46:47 - mmengine - INFO - Epoch(val) [17][ 820/6282] eta: 0:05:29 time: 0.0655 data_time: 0.0139 memory: 2934 2023/03/11 09:46:48 - mmengine - INFO - Epoch(val) [17][ 840/6282] eta: 0:05:27 time: 0.0572 data_time: 0.0104 memory: 2396 2023/03/11 09:46:49 - mmengine - INFO - Epoch(val) [17][ 860/6282] eta: 0:05:25 time: 0.0532 data_time: 0.0059 memory: 2396 2023/03/11 09:46:50 - mmengine - INFO - Epoch(val) [17][ 880/6282] eta: 0:05:23 time: 0.0551 data_time: 0.0097 memory: 2396 2023/03/11 09:46:51 - mmengine - INFO - Epoch(val) [17][ 900/6282] eta: 0:05:21 time: 0.0543 data_time: 0.0091 memory: 2396 2023/03/11 09:46:53 - mmengine - INFO - Epoch(val) [17][ 920/6282] eta: 0:05:21 time: 0.0671 data_time: 0.0216 memory: 2396 2023/03/11 09:46:54 - mmengine - INFO - Epoch(val) [17][ 940/6282] eta: 0:05:19 time: 0.0541 data_time: 0.0105 memory: 2331 2023/03/11 09:46:55 - mmengine - INFO - Epoch(val) [17][ 960/6282] eta: 0:05:18 time: 0.0569 data_time: 0.0136 memory: 2331 2023/03/11 09:46:56 - mmengine - INFO - Epoch(val) [17][ 980/6282] eta: 0:05:16 time: 0.0555 data_time: 0.0108 memory: 2331 2023/03/11 09:46:57 - mmengine - INFO - Epoch(val) [17][1000/6282] eta: 0:05:15 time: 0.0609 data_time: 0.0164 memory: 2331 2023/03/11 09:46:59 - mmengine - INFO - Epoch(val) [17][1020/6282] eta: 0:05:13 time: 0.0552 data_time: 0.0108 memory: 2396 2023/03/11 09:47:00 - mmengine - INFO - Epoch(val) [17][1040/6282] eta: 0:05:12 time: 0.0555 data_time: 0.0094 memory: 2396 2023/03/11 09:47:01 - mmengine - INFO - Epoch(val) [17][1060/6282] eta: 0:05:10 time: 0.0537 data_time: 0.0061 memory: 2396 2023/03/11 09:47:02 - mmengine - INFO - Epoch(val) [17][1080/6282] eta: 0:05:08 time: 0.0530 data_time: 0.0062 memory: 2396 2023/03/11 09:47:03 - mmengine - INFO - Epoch(val) [17][1100/6282] eta: 0:05:07 time: 0.0567 data_time: 0.0098 memory: 2396 2023/03/11 09:47:04 - mmengine - INFO - Epoch(val) [17][1120/6282] eta: 0:05:05 time: 0.0524 data_time: 0.0065 memory: 2396 2023/03/11 09:47:05 - mmengine - INFO - Epoch(val) [17][1140/6282] eta: 0:05:03 time: 0.0565 data_time: 0.0107 memory: 2396 2023/03/11 09:47:06 - mmengine - INFO - Epoch(val) [17][1160/6282] eta: 0:05:02 time: 0.0523 data_time: 0.0041 memory: 2396 2023/03/11 09:47:07 - mmengine - INFO - Epoch(val) [17][1180/6282] eta: 0:05:00 time: 0.0507 data_time: 0.0035 memory: 2396 2023/03/11 09:47:08 - mmengine - INFO - Epoch(val) [17][1200/6282] eta: 0:04:58 time: 0.0509 data_time: 0.0035 memory: 2396 2023/03/11 09:47:09 - mmengine - INFO - Epoch(val) [17][1220/6282] eta: 0:04:56 time: 0.0507 data_time: 0.0029 memory: 2396 2023/03/11 09:47:11 - mmengine - INFO - Epoch(val) [17][1240/6282] eta: 0:04:57 time: 0.0847 data_time: 0.0227 memory: 2934 2023/03/11 09:47:13 - mmengine - INFO - Epoch(val) [17][1260/6282] eta: 0:04:59 time: 0.0957 data_time: 0.0345 memory: 2934 2023/03/11 09:47:15 - mmengine - INFO - Epoch(val) [17][1280/6282] eta: 0:05:01 time: 0.0980 data_time: 0.0364 memory: 2934 2023/03/11 09:47:17 - mmengine - INFO - Epoch(val) [17][1300/6282] eta: 0:05:02 time: 0.0922 data_time: 0.0308 memory: 2934 2023/03/11 09:47:20 - mmengine - INFO - Epoch(val) [17][1320/6282] eta: 0:05:07 time: 0.1451 data_time: 0.0300 memory: 2934 2023/03/11 09:47:21 - mmengine - INFO - Epoch(val) [17][1340/6282] eta: 0:05:07 time: 0.0795 data_time: 0.0169 memory: 2934 2023/03/11 09:47:23 - mmengine - INFO - Epoch(val) [17][1360/6282] eta: 0:05:09 time: 0.1042 data_time: 0.0413 memory: 2934 2023/03/11 09:47:25 - mmengine - INFO - Epoch(val) [17][1380/6282] eta: 0:05:09 time: 0.0885 data_time: 0.0260 memory: 2934 2023/03/11 09:47:27 - mmengine - INFO - Epoch(val) [17][1400/6282] eta: 0:05:10 time: 0.0902 data_time: 0.0297 memory: 2934 2023/03/11 09:47:28 - mmengine - INFO - Epoch(val) [17][1420/6282] eta: 0:05:09 time: 0.0624 data_time: 0.0023 memory: 2934 2023/03/11 09:47:30 - mmengine - INFO - Epoch(val) [17][1440/6282] eta: 0:05:07 time: 0.0625 data_time: 0.0024 memory: 2934 2023/03/11 09:47:31 - mmengine - INFO - Epoch(val) [17][1460/6282] eta: 0:05:06 time: 0.0624 data_time: 0.0024 memory: 2934 2023/03/11 09:47:32 - mmengine - INFO - Epoch(val) [17][1480/6282] eta: 0:05:05 time: 0.0628 data_time: 0.0026 memory: 2934 2023/03/11 09:47:33 - mmengine - INFO - Epoch(val) [17][1500/6282] eta: 0:05:03 time: 0.0624 data_time: 0.0023 memory: 2934 2023/03/11 09:47:35 - mmengine - INFO - Epoch(val) [17][1520/6282] eta: 0:05:02 time: 0.0636 data_time: 0.0024 memory: 3958 2023/03/11 09:47:36 - mmengine - INFO - Epoch(val) [17][1540/6282] eta: 0:05:02 time: 0.0864 data_time: 0.0026 memory: 3958 2023/03/11 09:47:38 - mmengine - INFO - Epoch(val) [17][1560/6282] eta: 0:05:02 time: 0.0863 data_time: 0.0027 memory: 3958 2023/03/11 09:47:40 - mmengine - INFO - Epoch(val) [17][1580/6282] eta: 0:05:02 time: 0.0860 data_time: 0.0026 memory: 3958 2023/03/11 09:47:42 - mmengine - INFO - Epoch(val) [17][1600/6282] eta: 0:05:04 time: 0.1204 data_time: 0.0313 memory: 3958 2023/03/11 09:47:45 - mmengine - INFO - Epoch(val) [17][1620/6282] eta: 0:05:08 time: 0.1503 data_time: 0.0666 memory: 3958 2023/03/11 09:47:48 - mmengine - INFO - Epoch(val) [17][1640/6282] eta: 0:05:11 time: 0.1415 data_time: 0.0791 memory: 2934 2023/03/11 09:47:51 - mmengine - INFO - Epoch(val) [17][1660/6282] eta: 0:05:13 time: 0.1320 data_time: 0.0676 memory: 2934 2023/03/11 09:47:54 - mmengine - INFO - Epoch(val) [17][1680/6282] eta: 0:05:18 time: 0.1762 data_time: 0.1100 memory: 2934 2023/03/11 09:47:57 - mmengine - INFO - Epoch(val) [17][1700/6282] eta: 0:05:20 time: 0.1461 data_time: 0.0865 memory: 2934 2023/03/11 09:48:00 - mmengine - INFO - Epoch(val) [17][1720/6282] eta: 0:05:23 time: 0.1459 data_time: 0.0848 memory: 2934 2023/03/11 09:48:03 - mmengine - INFO - Epoch(val) [17][1740/6282] eta: 0:05:25 time: 0.1426 data_time: 0.0770 memory: 2934 2023/03/11 09:48:06 - mmengine - INFO - Epoch(val) [17][1760/6282] eta: 0:05:27 time: 0.1417 data_time: 0.0780 memory: 2934 2023/03/11 09:48:09 - mmengine - INFO - Epoch(val) [17][1780/6282] eta: 0:05:30 time: 0.1430 data_time: 0.0833 memory: 2934 2023/03/11 09:48:11 - mmengine - INFO - Epoch(val) [17][1800/6282] eta: 0:05:31 time: 0.1324 data_time: 0.0703 memory: 2934 2023/03/11 09:48:14 - mmengine - INFO - Epoch(val) [17][1820/6282] eta: 0:05:33 time: 0.1367 data_time: 0.0764 memory: 2934 2023/03/11 09:48:17 - mmengine - INFO - Epoch(val) [17][1840/6282] eta: 0:05:34 time: 0.1310 data_time: 0.0644 memory: 2934 2023/03/11 09:48:20 - mmengine - INFO - Epoch(val) [17][1860/6282] eta: 0:05:37 time: 0.1620 data_time: 0.1020 memory: 2934 2023/03/11 09:48:23 - mmengine - INFO - Epoch(val) [17][1880/6282] eta: 0:05:38 time: 0.1439 data_time: 0.0802 memory: 2934 2023/03/11 09:48:26 - mmengine - INFO - Epoch(val) [17][1900/6282] eta: 0:05:41 time: 0.1821 data_time: 0.1218 memory: 2934 2023/03/11 09:48:29 - mmengine - INFO - Epoch(val) [17][1920/6282] eta: 0:05:43 time: 0.1445 data_time: 0.0817 memory: 2934 2023/03/11 09:48:33 - mmengine - INFO - Epoch(val) [17][1940/6282] eta: 0:05:46 time: 0.1928 data_time: 0.1313 memory: 2934 2023/03/11 09:48:36 - mmengine - INFO - Epoch(val) [17][1960/6282] eta: 0:05:46 time: 0.1167 data_time: 0.0659 memory: 2397 2023/03/11 09:48:39 - mmengine - INFO - Epoch(val) [17][1980/6282] eta: 0:05:48 time: 0.1555 data_time: 0.1040 memory: 2397 2023/03/11 09:48:41 - mmengine - INFO - Epoch(val) [17][2000/6282] eta: 0:05:48 time: 0.1247 data_time: 0.0763 memory: 2397 2023/03/11 09:48:44 - mmengine - INFO - Epoch(val) [17][2020/6282] eta: 0:05:49 time: 0.1461 data_time: 0.0994 memory: 2397 2023/03/11 09:48:47 - mmengine - INFO - Epoch(val) [17][2040/6282] eta: 0:05:50 time: 0.1395 data_time: 0.0944 memory: 2397 2023/03/11 09:48:50 - mmengine - INFO - Epoch(val) [17][2060/6282] eta: 0:05:51 time: 0.1434 data_time: 0.0914 memory: 2397 2023/03/11 09:48:53 - mmengine - INFO - Epoch(val) [17][2080/6282] eta: 0:05:52 time: 0.1368 data_time: 0.0808 memory: 2397 2023/03/11 09:48:56 - mmengine - INFO - Epoch(val) [17][2100/6282] eta: 0:05:53 time: 0.1596 data_time: 0.1116 memory: 2397 2023/03/11 09:48:58 - mmengine - INFO - Epoch(val) [17][2120/6282] eta: 0:05:53 time: 0.1233 data_time: 0.0724 memory: 2397 2023/03/11 09:49:01 - mmengine - INFO - Epoch(val) [17][2140/6282] eta: 0:05:54 time: 0.1508 data_time: 0.1012 memory: 2397 2023/03/11 09:49:04 - mmengine - INFO - Epoch(val) [17][2160/6282] eta: 0:05:54 time: 0.1439 data_time: 0.0991 memory: 2396 2023/03/11 09:49:07 - mmengine - INFO - Epoch(val) [17][2180/6282] eta: 0:05:54 time: 0.1388 data_time: 0.0938 memory: 2396 2023/03/11 09:49:10 - mmengine - INFO - Epoch(val) [17][2200/6282] eta: 0:05:55 time: 0.1394 data_time: 0.0927 memory: 2396 2023/03/11 09:49:12 - mmengine - INFO - Epoch(val) [17][2220/6282] eta: 0:05:55 time: 0.1361 data_time: 0.0869 memory: 2396 2023/03/11 09:49:15 - mmengine - INFO - Epoch(val) [17][2240/6282] eta: 0:05:55 time: 0.1455 data_time: 0.0972 memory: 2396 2023/03/11 09:49:18 - mmengine - INFO - Epoch(val) [17][2260/6282] eta: 0:05:55 time: 0.1480 data_time: 0.1002 memory: 2397 2023/03/11 09:49:21 - mmengine - INFO - Epoch(val) [17][2280/6282] eta: 0:05:55 time: 0.1408 data_time: 0.0959 memory: 2397 2023/03/11 09:49:24 - mmengine - INFO - Epoch(val) [17][2300/6282] eta: 0:05:56 time: 0.1432 data_time: 0.0983 memory: 2397 2023/03/11 09:49:27 - mmengine - INFO - Epoch(val) [17][2320/6282] eta: 0:05:56 time: 0.1425 data_time: 0.0929 memory: 2397 2023/03/11 09:49:30 - mmengine - INFO - Epoch(val) [17][2340/6282] eta: 0:05:56 time: 0.1463 data_time: 0.1014 memory: 2397 2023/03/11 09:49:33 - mmengine - INFO - Epoch(val) [17][2360/6282] eta: 0:05:55 time: 0.1355 data_time: 0.0907 memory: 2396 2023/03/11 09:49:35 - mmengine - INFO - Epoch(val) [17][2380/6282] eta: 0:05:55 time: 0.1449 data_time: 0.0999 memory: 2396 2023/03/11 09:49:38 - mmengine - INFO - Epoch(val) [17][2400/6282] eta: 0:05:55 time: 0.1242 data_time: 0.0793 memory: 2396 2023/03/11 09:49:41 - mmengine - INFO - Epoch(val) [17][2420/6282] eta: 0:05:55 time: 0.1470 data_time: 0.0974 memory: 2396 2023/03/11 09:49:43 - mmengine - INFO - Epoch(val) [17][2440/6282] eta: 0:05:54 time: 0.1221 data_time: 0.0737 memory: 2396 2023/03/11 09:49:47 - mmengine - INFO - Epoch(val) [17][2460/6282] eta: 0:05:54 time: 0.1634 data_time: 0.1022 memory: 2934 2023/03/11 09:49:49 - mmengine - INFO - Epoch(val) [17][2480/6282] eta: 0:05:54 time: 0.1380 data_time: 0.0692 memory: 2934 2023/03/11 09:49:52 - mmengine - INFO - Epoch(val) [17][2500/6282] eta: 0:05:53 time: 0.1501 data_time: 0.0865 memory: 2934 2023/03/11 09:49:55 - mmengine - INFO - Epoch(val) [17][2520/6282] eta: 0:05:53 time: 0.1341 data_time: 0.0718 memory: 2934 2023/03/11 09:49:58 - mmengine - INFO - Epoch(val) [17][2540/6282] eta: 0:05:53 time: 0.1550 data_time: 0.0946 memory: 2934 2023/03/11 09:50:01 - mmengine - INFO - Epoch(val) [17][2560/6282] eta: 0:05:52 time: 0.1290 data_time: 0.0682 memory: 2934 2023/03/11 09:50:04 - mmengine - INFO - Epoch(val) [17][2580/6282] eta: 0:05:52 time: 0.1678 data_time: 0.1007 memory: 2934 2023/03/11 09:50:07 - mmengine - INFO - Epoch(val) [17][2600/6282] eta: 0:05:51 time: 0.1419 data_time: 0.0780 memory: 2934 2023/03/11 09:50:10 - mmengine - INFO - Epoch(val) [17][2620/6282] eta: 0:05:51 time: 0.1641 data_time: 0.1005 memory: 2934 2023/03/11 09:50:14 - mmengine - INFO - Epoch(val) [17][2640/6282] eta: 0:05:52 time: 0.1771 data_time: 0.1108 memory: 2934 2023/03/11 09:50:17 - mmengine - INFO - Epoch(val) [17][2660/6282] eta: 0:05:51 time: 0.1341 data_time: 0.0504 memory: 3842 2023/03/11 09:50:20 - mmengine - INFO - Epoch(val) [17][2680/6282] eta: 0:05:50 time: 0.1513 data_time: 0.0690 memory: 3842 2023/03/11 09:50:23 - mmengine - INFO - Epoch(val) [17][2700/6282] eta: 0:05:50 time: 0.1434 data_time: 0.0551 memory: 3842 2023/03/11 09:50:25 - mmengine - INFO - Epoch(val) [17][2720/6282] eta: 0:05:49 time: 0.1454 data_time: 0.0623 memory: 3842 2023/03/11 09:50:28 - mmengine - INFO - Epoch(val) [17][2740/6282] eta: 0:05:48 time: 0.1276 data_time: 0.0443 memory: 3842 2023/03/11 09:50:31 - mmengine - INFO - Epoch(val) [17][2760/6282] eta: 0:05:47 time: 0.1589 data_time: 0.1109 memory: 2397 2023/03/11 09:50:34 - mmengine - INFO - Epoch(val) [17][2780/6282] eta: 0:05:46 time: 0.1395 data_time: 0.0942 memory: 2397 2023/03/11 09:50:37 - mmengine - INFO - Epoch(val) [17][2800/6282] eta: 0:05:46 time: 0.1541 data_time: 0.1091 memory: 2397 2023/03/11 09:50:40 - mmengine - INFO - Epoch(val) [17][2820/6282] eta: 0:05:45 time: 0.1325 data_time: 0.0836 memory: 2397 2023/03/11 09:50:43 - mmengine - INFO - Epoch(val) [17][2840/6282] eta: 0:05:44 time: 0.1496 data_time: 0.0982 memory: 2397 2023/03/11 09:50:46 - mmengine - INFO - Epoch(val) [17][2860/6282] eta: 0:05:43 time: 0.1395 data_time: 0.0819 memory: 2934 2023/03/11 09:50:49 - mmengine - INFO - Epoch(val) [17][2880/6282] eta: 0:05:42 time: 0.1577 data_time: 0.0939 memory: 2934 2023/03/11 09:50:51 - mmengine - INFO - Epoch(val) [17][2900/6282] eta: 0:05:41 time: 0.1321 data_time: 0.0718 memory: 2934 2023/03/11 09:50:55 - mmengine - INFO - Epoch(val) [17][2920/6282] eta: 0:05:40 time: 0.1691 data_time: 0.1105 memory: 2934 2023/03/11 09:50:57 - mmengine - INFO - Epoch(val) [17][2940/6282] eta: 0:05:39 time: 0.1156 data_time: 0.0664 memory: 2609 2023/03/11 09:51:00 - mmengine - INFO - Epoch(val) [17][2960/6282] eta: 0:05:38 time: 0.1607 data_time: 0.1116 memory: 2609 2023/03/11 09:51:03 - mmengine - INFO - Epoch(val) [17][2980/6282] eta: 0:05:36 time: 0.1274 data_time: 0.0783 memory: 2609 2023/03/11 09:51:06 - mmengine - INFO - Epoch(val) [17][3000/6282] eta: 0:05:36 time: 0.1639 data_time: 0.1129 memory: 2609 2023/03/11 09:51:09 - mmengine - INFO - Epoch(val) [17][3020/6282] eta: 0:05:34 time: 0.1219 data_time: 0.0564 memory: 2934 2023/03/11 09:51:12 - mmengine - INFO - Epoch(val) [17][3040/6282] eta: 0:05:33 time: 0.1560 data_time: 0.0962 memory: 2934 2023/03/11 09:51:14 - mmengine - INFO - Epoch(val) [17][3060/6282] eta: 0:05:32 time: 0.1316 data_time: 0.0695 memory: 2934 2023/03/11 09:51:18 - mmengine - INFO - Epoch(val) [17][3080/6282] eta: 0:05:31 time: 0.1651 data_time: 0.1055 memory: 2934 2023/03/11 09:51:20 - mmengine - INFO - Epoch(val) [17][3100/6282] eta: 0:05:29 time: 0.1144 data_time: 0.0564 memory: 2934 2023/03/11 09:51:23 - mmengine - INFO - Epoch(val) [17][3120/6282] eta: 0:05:28 time: 0.1582 data_time: 0.1084 memory: 2397 2023/03/11 09:51:26 - mmengine - INFO - Epoch(val) [17][3140/6282] eta: 0:05:26 time: 0.1193 data_time: 0.0743 memory: 2397 2023/03/11 09:51:29 - mmengine - INFO - Epoch(val) [17][3160/6282] eta: 0:05:25 time: 0.1597 data_time: 0.1103 memory: 2397 2023/03/11 09:51:31 - mmengine - INFO - Epoch(val) [17][3180/6282] eta: 0:05:24 time: 0.1186 data_time: 0.0651 memory: 2397 2023/03/11 09:51:34 - mmengine - INFO - Epoch(val) [17][3200/6282] eta: 0:05:23 time: 0.1665 data_time: 0.1079 memory: 2934 2023/03/11 09:51:37 - mmengine - INFO - Epoch(val) [17][3220/6282] eta: 0:05:21 time: 0.1298 data_time: 0.0648 memory: 2934 2023/03/11 09:51:40 - mmengine - INFO - Epoch(val) [17][3240/6282] eta: 0:05:20 time: 0.1653 data_time: 0.1054 memory: 2934 2023/03/11 09:51:43 - mmengine - INFO - Epoch(val) [17][3260/6282] eta: 0:05:19 time: 0.1360 data_time: 0.0720 memory: 2934 2023/03/11 09:51:46 - mmengine - INFO - Epoch(val) [17][3280/6282] eta: 0:05:18 time: 0.1642 data_time: 0.0990 memory: 2934 2023/03/11 09:51:49 - mmengine - INFO - Epoch(val) [17][3300/6282] eta: 0:05:16 time: 0.1347 data_time: 0.0701 memory: 2934 2023/03/11 09:51:53 - mmengine - INFO - Epoch(val) [17][3320/6282] eta: 0:05:15 time: 0.1718 data_time: 0.1052 memory: 2934 2023/03/11 09:51:55 - mmengine - INFO - Epoch(val) [17][3340/6282] eta: 0:05:13 time: 0.1311 data_time: 0.0693 memory: 2934 2023/03/11 09:51:58 - mmengine - INFO - Epoch(val) [17][3360/6282] eta: 0:05:12 time: 0.1522 data_time: 0.0836 memory: 2934 2023/03/11 09:52:01 - mmengine - INFO - Epoch(val) [17][3380/6282] eta: 0:05:10 time: 0.1213 data_time: 0.0600 memory: 2934 2023/03/11 09:52:04 - mmengine - INFO - Epoch(val) [17][3400/6282] eta: 0:05:09 time: 0.1489 data_time: 0.0964 memory: 2396 2023/03/11 09:52:06 - mmengine - INFO - Epoch(val) [17][3420/6282] eta: 0:05:07 time: 0.1186 data_time: 0.0668 memory: 2396 2023/03/11 09:52:09 - mmengine - INFO - Epoch(val) [17][3440/6282] eta: 0:05:05 time: 0.1602 data_time: 0.1062 memory: 2396 2023/03/11 09:52:12 - mmengine - INFO - Epoch(val) [17][3460/6282] eta: 0:05:04 time: 0.1273 data_time: 0.0823 memory: 2396 2023/03/11 09:52:15 - mmengine - INFO - Epoch(val) [17][3480/6282] eta: 0:05:02 time: 0.1671 data_time: 0.1195 memory: 2396 2023/03/11 09:52:18 - mmengine - INFO - Epoch(val) [17][3500/6282] eta: 0:05:00 time: 0.1231 data_time: 0.0784 memory: 2396 2023/03/11 09:52:21 - mmengine - INFO - Epoch(val) [17][3520/6282] eta: 0:04:59 time: 0.1519 data_time: 0.1069 memory: 2396 2023/03/11 09:52:23 - mmengine - INFO - Epoch(val) [17][3540/6282] eta: 0:04:57 time: 0.1265 data_time: 0.0816 memory: 2396 2023/03/11 09:52:26 - mmengine - INFO - Epoch(val) [17][3560/6282] eta: 0:04:56 time: 0.1475 data_time: 0.1026 memory: 2396 2023/03/11 09:52:29 - mmengine - INFO - Epoch(val) [17][3580/6282] eta: 0:04:54 time: 0.1229 data_time: 0.0704 memory: 2765 2023/03/11 09:52:32 - mmengine - INFO - Epoch(val) [17][3600/6282] eta: 0:04:52 time: 0.1518 data_time: 0.0925 memory: 2765 2023/03/11 09:52:35 - mmengine - INFO - Epoch(val) [17][3620/6282] eta: 0:04:50 time: 0.1428 data_time: 0.0804 memory: 2765 2023/03/11 09:52:38 - mmengine - INFO - Epoch(val) [17][3640/6282] eta: 0:04:49 time: 0.1532 data_time: 0.0961 memory: 2765 2023/03/11 09:52:40 - mmengine - INFO - Epoch(val) [17][3660/6282] eta: 0:04:47 time: 0.1167 data_time: 0.0512 memory: 2765 2023/03/11 09:52:43 - mmengine - INFO - Epoch(val) [17][3680/6282] eta: 0:04:45 time: 0.1587 data_time: 0.0976 memory: 2934 2023/03/11 09:52:46 - mmengine - INFO - Epoch(val) [17][3700/6282] eta: 0:04:43 time: 0.1311 data_time: 0.0712 memory: 2934 2023/03/11 09:52:49 - mmengine - INFO - Epoch(val) [17][3720/6282] eta: 0:04:42 time: 0.1675 data_time: 0.1058 memory: 2934 2023/03/11 09:52:52 - mmengine - INFO - Epoch(val) [17][3740/6282] eta: 0:04:40 time: 0.1365 data_time: 0.0693 memory: 2934 2023/03/11 09:52:55 - mmengine - INFO - Epoch(val) [17][3760/6282] eta: 0:04:39 time: 0.1673 data_time: 0.1049 memory: 2934 2023/03/11 09:52:58 - mmengine - INFO - Epoch(val) [17][3780/6282] eta: 0:04:37 time: 0.1360 data_time: 0.0734 memory: 2934 2023/03/11 09:53:01 - mmengine - INFO - Epoch(val) [17][3800/6282] eta: 0:04:35 time: 0.1643 data_time: 0.0987 memory: 2934 2023/03/11 09:53:04 - mmengine - INFO - Epoch(val) [17][3820/6282] eta: 0:04:33 time: 0.1265 data_time: 0.0666 memory: 2934 2023/03/11 09:53:07 - mmengine - INFO - Epoch(val) [17][3840/6282] eta: 0:04:32 time: 0.1738 data_time: 0.1112 memory: 2934 2023/03/11 09:53:10 - mmengine - INFO - Epoch(val) [17][3860/6282] eta: 0:04:30 time: 0.1324 data_time: 0.0654 memory: 2934 2023/03/11 09:53:14 - mmengine - INFO - Epoch(val) [17][3880/6282] eta: 0:04:28 time: 0.1782 data_time: 0.1156 memory: 2934 2023/03/11 09:53:16 - mmengine - INFO - Epoch(val) [17][3900/6282] eta: 0:04:26 time: 0.1281 data_time: 0.0658 memory: 2934 2023/03/11 09:53:20 - mmengine - INFO - Epoch(val) [17][3920/6282] eta: 0:04:25 time: 0.1731 data_time: 0.1086 memory: 2934 2023/03/11 09:53:22 - mmengine - INFO - Epoch(val) [17][3940/6282] eta: 0:04:23 time: 0.1412 data_time: 0.0778 memory: 2934 2023/03/11 09:53:26 - mmengine - INFO - Epoch(val) [17][3960/6282] eta: 0:04:21 time: 0.1736 data_time: 0.1056 memory: 2934 2023/03/11 09:53:28 - mmengine - INFO - Epoch(val) [17][3980/6282] eta: 0:04:19 time: 0.1298 data_time: 0.0703 memory: 2934 2023/03/11 09:53:32 - mmengine - INFO - Epoch(val) [17][4000/6282] eta: 0:04:18 time: 0.1586 data_time: 0.0991 memory: 2934 2023/03/11 09:53:34 - mmengine - INFO - Epoch(val) [17][4020/6282] eta: 0:04:16 time: 0.1421 data_time: 0.0826 memory: 2934 2023/03/11 09:53:38 - mmengine - INFO - Epoch(val) [17][4040/6282] eta: 0:04:14 time: 0.1620 data_time: 0.0904 memory: 3842 2023/03/11 09:53:40 - mmengine - INFO - Epoch(val) [17][4060/6282] eta: 0:04:12 time: 0.1275 data_time: 0.0378 memory: 3842 2023/03/11 09:53:43 - mmengine - INFO - Epoch(val) [17][4080/6282] eta: 0:04:10 time: 0.1378 data_time: 0.0521 memory: 3842 2023/03/11 09:53:46 - mmengine - INFO - Epoch(val) [17][4100/6282] eta: 0:04:08 time: 0.1350 data_time: 0.0447 memory: 3842 2023/03/11 09:53:49 - mmengine - INFO - Epoch(val) [17][4120/6282] eta: 0:04:06 time: 0.1430 data_time: 0.0553 memory: 3842 2023/03/11 09:53:51 - mmengine - INFO - Epoch(val) [17][4140/6282] eta: 0:04:04 time: 0.1177 data_time: 0.0450 memory: 3842 2023/03/11 09:53:55 - mmengine - INFO - Epoch(val) [17][4160/6282] eta: 0:04:02 time: 0.1818 data_time: 0.1328 memory: 2396 2023/03/11 09:53:57 - mmengine - INFO - Epoch(val) [17][4180/6282] eta: 0:04:00 time: 0.1378 data_time: 0.0899 memory: 2396 2023/03/11 09:54:01 - mmengine - INFO - Epoch(val) [17][4200/6282] eta: 0:03:58 time: 0.1617 data_time: 0.1167 memory: 2396 2023/03/11 09:54:03 - mmengine - INFO - Epoch(val) [17][4220/6282] eta: 0:03:56 time: 0.1240 data_time: 0.0791 memory: 2396 2023/03/11 09:54:06 - mmengine - INFO - Epoch(val) [17][4240/6282] eta: 0:03:54 time: 0.1635 data_time: 0.1153 memory: 2396 2023/03/11 09:54:09 - mmengine - INFO - Epoch(val) [17][4260/6282] eta: 0:03:52 time: 0.1194 data_time: 0.0746 memory: 2396 2023/03/11 09:54:12 - mmengine - INFO - Epoch(val) [17][4280/6282] eta: 0:03:50 time: 0.1633 data_time: 0.1101 memory: 2396 2023/03/11 09:54:15 - mmengine - INFO - Epoch(val) [17][4300/6282] eta: 0:03:48 time: 0.1248 data_time: 0.0772 memory: 2396 2023/03/11 09:54:18 - mmengine - INFO - Epoch(val) [17][4320/6282] eta: 0:03:46 time: 0.1513 data_time: 0.1065 memory: 2396 2023/03/11 09:54:20 - mmengine - INFO - Epoch(val) [17][4340/6282] eta: 0:03:44 time: 0.1208 data_time: 0.0758 memory: 2396 2023/03/11 09:54:23 - mmengine - INFO - Epoch(val) [17][4360/6282] eta: 0:03:42 time: 0.1623 data_time: 0.0992 memory: 2934 2023/03/11 09:54:26 - mmengine - INFO - Epoch(val) [17][4380/6282] eta: 0:03:39 time: 0.1300 data_time: 0.0630 memory: 2934 2023/03/11 09:54:29 - mmengine - INFO - Epoch(val) [17][4400/6282] eta: 0:03:37 time: 0.1524 data_time: 0.0910 memory: 2934 2023/03/11 09:54:31 - mmengine - INFO - Epoch(val) [17][4420/6282] eta: 0:03:35 time: 0.1186 data_time: 0.0525 memory: 2934 2023/03/11 09:54:35 - mmengine - INFO - Epoch(val) [17][4440/6282] eta: 0:03:33 time: 0.1705 data_time: 0.1000 memory: 3023 2023/03/11 09:54:37 - mmengine - INFO - Epoch(val) [17][4460/6282] eta: 0:03:31 time: 0.1314 data_time: 0.0694 memory: 3023 2023/03/11 09:54:41 - mmengine - INFO - Epoch(val) [17][4480/6282] eta: 0:03:29 time: 0.1591 data_time: 0.0935 memory: 3023 2023/03/11 09:54:43 - mmengine - INFO - Epoch(val) [17][4500/6282] eta: 0:03:27 time: 0.1206 data_time: 0.0550 memory: 3023 2023/03/11 09:54:46 - mmengine - INFO - Epoch(val) [17][4520/6282] eta: 0:03:25 time: 0.1513 data_time: 0.0898 memory: 3023 2023/03/11 09:54:49 - mmengine - INFO - Epoch(val) [17][4540/6282] eta: 0:03:23 time: 0.1255 data_time: 0.0745 memory: 2464 2023/03/11 09:54:52 - mmengine - INFO - Epoch(val) [17][4560/6282] eta: 0:03:21 time: 0.1655 data_time: 0.1112 memory: 2464 2023/03/11 09:54:55 - mmengine - INFO - Epoch(val) [17][4580/6282] eta: 0:03:18 time: 0.1295 data_time: 0.0833 memory: 2464 2023/03/11 09:54:58 - mmengine - INFO - Epoch(val) [17][4600/6282] eta: 0:03:16 time: 0.1585 data_time: 0.1125 memory: 2464 2023/03/11 09:55:00 - mmengine - INFO - Epoch(val) [17][4620/6282] eta: 0:03:14 time: 0.1266 data_time: 0.0776 memory: 2464 2023/03/11 09:55:04 - mmengine - INFO - Epoch(val) [17][4640/6282] eta: 0:03:12 time: 0.1669 data_time: 0.1006 memory: 3023 2023/03/11 09:55:06 - mmengine - INFO - Epoch(val) [17][4660/6282] eta: 0:03:10 time: 0.1282 data_time: 0.0621 memory: 3023 2023/03/11 09:55:09 - mmengine - INFO - Epoch(val) [17][4680/6282] eta: 0:03:08 time: 0.1573 data_time: 0.0952 memory: 3023 2023/03/11 09:55:12 - mmengine - INFO - Epoch(val) [17][4700/6282] eta: 0:03:05 time: 0.1264 data_time: 0.0639 memory: 3023 2023/03/11 09:55:15 - mmengine - INFO - Epoch(val) [17][4720/6282] eta: 0:03:03 time: 0.1724 data_time: 0.1102 memory: 3023 2023/03/11 09:55:17 - mmengine - INFO - Epoch(val) [17][4740/6282] eta: 0:03:01 time: 0.1051 data_time: 0.0528 memory: 2609 2023/03/11 09:55:20 - mmengine - INFO - Epoch(val) [17][4760/6282] eta: 0:02:59 time: 0.1495 data_time: 0.0953 memory: 2609 2023/03/11 09:55:23 - mmengine - INFO - Epoch(val) [17][4780/6282] eta: 0:02:56 time: 0.1130 data_time: 0.0599 memory: 2609 2023/03/11 09:55:26 - mmengine - INFO - Epoch(val) [17][4800/6282] eta: 0:02:54 time: 0.1449 data_time: 0.0903 memory: 2609 2023/03/11 09:55:28 - mmengine - INFO - Epoch(val) [17][4820/6282] eta: 0:02:52 time: 0.1295 data_time: 0.0700 memory: 2934 2023/03/11 09:55:31 - mmengine - INFO - Epoch(val) [17][4840/6282] eta: 0:02:50 time: 0.1635 data_time: 0.1007 memory: 2934 2023/03/11 09:55:34 - mmengine - INFO - Epoch(val) [17][4860/6282] eta: 0:02:48 time: 0.1438 data_time: 0.0843 memory: 2934 2023/03/11 09:55:38 - mmengine - INFO - Epoch(val) [17][4880/6282] eta: 0:02:46 time: 0.1632 data_time: 0.1001 memory: 2934 2023/03/11 09:55:40 - mmengine - INFO - Epoch(val) [17][4900/6282] eta: 0:02:43 time: 0.1292 data_time: 0.0623 memory: 2934 2023/03/11 09:55:43 - mmengine - INFO - Epoch(val) [17][4920/6282] eta: 0:02:41 time: 0.1516 data_time: 0.0871 memory: 2934 2023/03/11 09:55:46 - mmengine - INFO - Epoch(val) [17][4940/6282] eta: 0:02:39 time: 0.1296 data_time: 0.0701 memory: 2934 2023/03/11 09:55:49 - mmengine - INFO - Epoch(val) [17][4960/6282] eta: 0:02:37 time: 0.1660 data_time: 0.1065 memory: 2934 2023/03/11 09:55:52 - mmengine - INFO - Epoch(val) [17][4980/6282] eta: 0:02:34 time: 0.1188 data_time: 0.0567 memory: 2934 2023/03/11 09:55:55 - mmengine - INFO - Epoch(val) [17][5000/6282] eta: 0:02:32 time: 0.1754 data_time: 0.1086 memory: 2934 2023/03/11 09:55:58 - mmengine - INFO - Epoch(val) [17][5020/6282] eta: 0:02:30 time: 0.1242 data_time: 0.0727 memory: 2934 2023/03/11 09:56:01 - mmengine - INFO - Epoch(val) [17][5040/6282] eta: 0:02:28 time: 0.1575 data_time: 0.1124 memory: 2397 2023/03/11 09:56:03 - mmengine - INFO - Epoch(val) [17][5060/6282] eta: 0:02:25 time: 0.1168 data_time: 0.0716 memory: 2397 2023/03/11 09:56:06 - mmengine - INFO - Epoch(val) [17][5080/6282] eta: 0:02:23 time: 0.1485 data_time: 0.1032 memory: 2397 2023/03/11 09:56:08 - mmengine - INFO - Epoch(val) [17][5100/6282] eta: 0:02:21 time: 0.1169 data_time: 0.0719 memory: 2397 2023/03/11 09:56:12 - mmengine - INFO - Epoch(val) [17][5120/6282] eta: 0:02:18 time: 0.1548 data_time: 0.1096 memory: 2397 2023/03/11 09:56:14 - mmengine - INFO - Epoch(val) [17][5140/6282] eta: 0:02:16 time: 0.1370 data_time: 0.0920 memory: 2396 2023/03/11 09:56:17 - mmengine - INFO - Epoch(val) [17][5160/6282] eta: 0:02:14 time: 0.1538 data_time: 0.0999 memory: 2396 2023/03/11 09:56:20 - mmengine - INFO - Epoch(val) [17][5180/6282] eta: 0:02:11 time: 0.1287 data_time: 0.0727 memory: 2396 2023/03/11 09:56:23 - mmengine - INFO - Epoch(val) [17][5200/6282] eta: 0:02:09 time: 0.1518 data_time: 0.1015 memory: 2396 2023/03/11 09:56:25 - mmengine - INFO - Epoch(val) [17][5220/6282] eta: 0:02:07 time: 0.1225 data_time: 0.0775 memory: 2396 2023/03/11 09:56:29 - mmengine - INFO - Epoch(val) [17][5240/6282] eta: 0:02:05 time: 0.1668 data_time: 0.1217 memory: 2396 2023/03/11 09:56:31 - mmengine - INFO - Epoch(val) [17][5260/6282] eta: 0:02:02 time: 0.1171 data_time: 0.0720 memory: 2396 2023/03/11 09:56:34 - mmengine - INFO - Epoch(val) [17][5280/6282] eta: 0:02:00 time: 0.1609 data_time: 0.1157 memory: 2396 2023/03/11 09:56:37 - mmengine - INFO - Epoch(val) [17][5300/6282] eta: 0:01:58 time: 0.1203 data_time: 0.0752 memory: 2396 2023/03/11 09:56:40 - mmengine - INFO - Epoch(val) [17][5320/6282] eta: 0:01:55 time: 0.1642 data_time: 0.1190 memory: 2396 2023/03/11 09:56:42 - mmengine - INFO - Epoch(val) [17][5340/6282] eta: 0:01:53 time: 0.1116 data_time: 0.0665 memory: 2396 2023/03/11 09:56:45 - mmengine - INFO - Epoch(val) [17][5360/6282] eta: 0:01:51 time: 0.1546 data_time: 0.1094 memory: 2396 2023/03/11 09:56:48 - mmengine - INFO - Epoch(val) [17][5380/6282] eta: 0:01:48 time: 0.1245 data_time: 0.0795 memory: 2396 2023/03/11 09:56:51 - mmengine - INFO - Epoch(val) [17][5400/6282] eta: 0:01:46 time: 0.1507 data_time: 0.1057 memory: 2396 2023/03/11 09:56:53 - mmengine - INFO - Epoch(val) [17][5420/6282] eta: 0:01:43 time: 0.1233 data_time: 0.0784 memory: 2396 2023/03/11 09:56:57 - mmengine - INFO - Epoch(val) [17][5440/6282] eta: 0:01:41 time: 0.1734 data_time: 0.1195 memory: 2396 2023/03/11 09:56:59 - mmengine - INFO - Epoch(val) [17][5460/6282] eta: 0:01:39 time: 0.1189 data_time: 0.0646 memory: 2396 2023/03/11 09:57:02 - mmengine - INFO - Epoch(val) [17][5480/6282] eta: 0:01:36 time: 0.1446 data_time: 0.0946 memory: 2396 2023/03/11 09:57:05 - mmengine - INFO - Epoch(val) [17][5500/6282] eta: 0:01:34 time: 0.1236 data_time: 0.0703 memory: 2396 2023/03/11 09:57:08 - mmengine - INFO - Epoch(val) [17][5520/6282] eta: 0:01:32 time: 0.1544 data_time: 0.1014 memory: 2608 2023/03/11 09:57:10 - mmengine - INFO - Epoch(val) [17][5540/6282] eta: 0:01:29 time: 0.1146 data_time: 0.0610 memory: 2608 2023/03/11 09:57:13 - mmengine - INFO - Epoch(val) [17][5560/6282] eta: 0:01:27 time: 0.1561 data_time: 0.1060 memory: 2608 2023/03/11 09:57:16 - mmengine - INFO - Epoch(val) [17][5580/6282] eta: 0:01:25 time: 0.1326 data_time: 0.0834 memory: 2608 2023/03/11 09:57:19 - mmengine - INFO - Epoch(val) [17][5600/6282] eta: 0:01:22 time: 0.1526 data_time: 0.1034 memory: 2608 2023/03/11 09:57:21 - mmengine - INFO - Epoch(val) [17][5620/6282] eta: 0:01:20 time: 0.1192 data_time: 0.0728 memory: 2608 2023/03/11 09:57:25 - mmengine - INFO - Epoch(val) [17][5640/6282] eta: 0:01:17 time: 0.1638 data_time: 0.1143 memory: 2396 2023/03/11 09:57:27 - mmengine - INFO - Epoch(val) [17][5660/6282] eta: 0:01:15 time: 0.1241 data_time: 0.0717 memory: 2396 2023/03/11 09:57:30 - mmengine - INFO - Epoch(val) [17][5680/6282] eta: 0:01:13 time: 0.1518 data_time: 0.1004 memory: 2396 2023/03/11 09:57:32 - mmengine - INFO - Epoch(val) [17][5700/6282] eta: 0:01:10 time: 0.1084 data_time: 0.0582 memory: 2396 2023/03/11 09:57:36 - mmengine - INFO - Epoch(val) [17][5720/6282] eta: 0:01:08 time: 0.1668 data_time: 0.1160 memory: 2686 2023/03/11 09:57:38 - mmengine - INFO - Epoch(val) [17][5740/6282] eta: 0:01:05 time: 0.1188 data_time: 0.0657 memory: 2686 2023/03/11 09:57:41 - mmengine - INFO - Epoch(val) [17][5760/6282] eta: 0:01:03 time: 0.1457 data_time: 0.0927 memory: 2686 2023/03/11 09:57:43 - mmengine - INFO - Epoch(val) [17][5780/6282] eta: 0:01:01 time: 0.1252 data_time: 0.0723 memory: 2686 2023/03/11 09:57:47 - mmengine - INFO - Epoch(val) [17][5800/6282] eta: 0:00:58 time: 0.1517 data_time: 0.0986 memory: 2686 2023/03/11 09:57:49 - mmengine - INFO - Epoch(val) [17][5820/6282] eta: 0:00:56 time: 0.1181 data_time: 0.0671 memory: 2686 2023/03/11 09:57:52 - mmengine - INFO - Epoch(val) [17][5840/6282] eta: 0:00:53 time: 0.1486 data_time: 0.0993 memory: 2608 2023/03/11 09:57:55 - mmengine - INFO - Epoch(val) [17][5860/6282] eta: 0:00:51 time: 0.1450 data_time: 0.0935 memory: 2608 2023/03/11 09:57:57 - mmengine - INFO - Epoch(val) [17][5880/6282] eta: 0:00:49 time: 0.1213 data_time: 0.0683 memory: 2608 2023/03/11 09:58:00 - mmengine - INFO - Epoch(val) [17][5900/6282] eta: 0:00:46 time: 0.1187 data_time: 0.0694 memory: 2608 2023/03/11 09:58:03 - mmengine - INFO - Epoch(val) [17][5920/6282] eta: 0:00:44 time: 0.1647 data_time: 0.1160 memory: 2608 2023/03/11 09:58:05 - mmengine - INFO - Epoch(val) [17][5940/6282] eta: 0:00:41 time: 0.1183 data_time: 0.0675 memory: 2396 2023/03/11 09:58:08 - mmengine - INFO - Epoch(val) [17][5960/6282] eta: 0:00:39 time: 0.1562 data_time: 0.1047 memory: 2396 2023/03/11 09:58:11 - mmengine - INFO - Epoch(val) [17][5980/6282] eta: 0:00:36 time: 0.1174 data_time: 0.0640 memory: 2396 2023/03/11 09:58:14 - mmengine - INFO - Epoch(val) [17][6000/6282] eta: 0:00:34 time: 0.1671 data_time: 0.1047 memory: 2934 2023/03/11 09:58:17 - mmengine - INFO - Epoch(val) [17][6020/6282] eta: 0:00:32 time: 0.1222 data_time: 0.0626 memory: 2934 2023/03/11 09:58:20 - mmengine - INFO - Epoch(val) [17][6040/6282] eta: 0:00:29 time: 0.1727 data_time: 0.1132 memory: 2934 2023/03/11 09:58:23 - mmengine - INFO - Epoch(val) [17][6060/6282] eta: 0:00:27 time: 0.1291 data_time: 0.0571 memory: 2934 2023/03/11 09:58:26 - mmengine - INFO - Epoch(val) [17][6080/6282] eta: 0:00:24 time: 0.1606 data_time: 0.0951 memory: 2934 2023/03/11 09:58:29 - mmengine - INFO - Epoch(val) [17][6100/6282] eta: 0:00:22 time: 0.1338 data_time: 0.0740 memory: 2934 2023/03/11 09:58:32 - mmengine - INFO - Epoch(val) [17][6120/6282] eta: 0:00:19 time: 0.1698 data_time: 0.1080 memory: 2934 2023/03/11 09:58:35 - mmengine - INFO - Epoch(val) [17][6140/6282] eta: 0:00:17 time: 0.1474 data_time: 0.0817 memory: 2934 2023/03/11 09:58:38 - mmengine - INFO - Epoch(val) [17][6160/6282] eta: 0:00:15 time: 0.1772 data_time: 0.1175 memory: 2934 2023/03/11 09:58:41 - mmengine - INFO - Epoch(val) [17][6180/6282] eta: 0:00:12 time: 0.1350 data_time: 0.0661 memory: 2934 2023/03/11 09:58:44 - mmengine - INFO - Epoch(val) [17][6200/6282] eta: 0:00:10 time: 0.1580 data_time: 0.0986 memory: 2934 2023/03/11 09:58:47 - mmengine - INFO - Epoch(val) [17][6220/6282] eta: 0:00:07 time: 0.1166 data_time: 0.0571 memory: 2934 2023/03/11 09:58:50 - mmengine - INFO - Epoch(val) [17][6240/6282] eta: 0:00:05 time: 0.1508 data_time: 0.0914 memory: 2934 2023/03/11 09:58:52 - mmengine - INFO - Epoch(val) [17][6260/6282] eta: 0:00:02 time: 0.0915 data_time: 0.0318 memory: 2934 2023/03/11 09:58:53 - mmengine - INFO - Epoch(val) [17][6280/6282] eta: 0:00:00 time: 0.0607 data_time: 0.0017 memory: 2934 2023/03/11 10:01:02 - mmengine - INFO - Epoch(val) [17][6282/6282] mAP/mAP@0.5IOU: 0.3358 2023/03/11 10:01:51 - mmengine - INFO - Epoch(train) [18][ 20/4451] lr: 2.8280e-07 eta: 2:44:48 time: 2.4649 data_time: 1.8230 memory: 51970 grad_norm: 0.1355 loss: 0.0278 recall@thr=0.5: 0.8013 prec@thr=0.5: 0.8814 recall@top3: 0.8494 prec@top3: 0.7821 recall@top5: 1.0000 prec@top5: 0.5769 loss_action_cls: 0.0278 2023/03/11 10:02:25 - mmengine - INFO - Epoch(train) [18][ 40/4451] lr: 2.8198e-07 eta: 2:44:36 time: 1.6929 data_time: 1.1014 memory: 51970 grad_norm: 0.1420 loss: 0.0316 recall@thr=0.5: 0.6364 prec@thr=0.5: 0.6818 recall@top3: 0.9318 prec@top3: 0.6818 recall@top5: 0.9773 prec@top5: 0.4273 loss_action_cls: 0.0316 2023/03/11 10:03:11 - mmengine - INFO - Epoch(train) [18][ 60/4451] lr: 2.8116e-07 eta: 2:44:27 time: 2.3265 data_time: 0.9652 memory: 51970 grad_norm: 0.1361 loss: 0.0260 recall@thr=0.5: 0.7971 prec@thr=0.5: 0.8043 recall@top3: 0.8913 prec@top3: 0.7101 recall@top5: 0.9565 prec@top5: 0.4522 loss_action_cls: 0.0260 2023/03/11 10:03:41 - mmengine - INFO - Epoch(train) [18][ 80/4451] lr: 2.8034e-07 eta: 2:44:15 time: 1.4840 data_time: 0.3404 memory: 51970 grad_norm: 0.1327 loss: 0.0299 recall@thr=0.5: 0.7115 prec@thr=0.5: 0.7885 recall@top3: 0.8077 prec@top3: 0.6410 recall@top5: 0.8846 prec@top5: 0.4231 loss_action_cls: 0.0299 2023/03/11 10:04:23 - mmengine - INFO - Epoch(train) [18][ 100/4451] lr: 2.7952e-07 eta: 2:44:04 time: 2.1047 data_time: 0.1324 memory: 51970 grad_norm: 0.1424 loss: 0.0304 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7304 recall@top3: 0.8431 prec@top3: 0.5490 recall@top5: 0.9706 prec@top5: 0.3882 loss_action_cls: 0.0304 2023/03/11 10:04:54 - mmengine - INFO - Epoch(train) [18][ 120/4451] lr: 2.7871e-07 eta: 2:43:52 time: 1.5461 data_time: 0.0133 memory: 51970 grad_norm: 0.1386 loss: 0.0302 recall@thr=0.5: 0.7412 prec@thr=0.5: 0.7892 recall@top3: 0.8059 prec@top3: 0.7451 recall@top5: 0.9373 prec@top5: 0.5412 loss_action_cls: 0.0302 2023/03/11 10:05:39 - mmengine - INFO - Epoch(train) [18][ 140/4451] lr: 2.7789e-07 eta: 2:43:43 time: 2.2418 data_time: 0.0131 memory: 51970 grad_norm: 0.1331 loss: 0.0254 recall@thr=0.5: 1.0000 prec@thr=0.5: 0.9246 recall@top3: 0.9841 prec@top3: 0.7937 recall@top5: 1.0000 prec@top5: 0.4857 loss_action_cls: 0.0254 2023/03/11 10:06:08 - mmengine - INFO - Epoch(train) [18][ 160/4451] lr: 2.7708e-07 eta: 2:43:30 time: 1.4624 data_time: 0.0128 memory: 51970 grad_norm: 0.1404 loss: 0.0318 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.8728 recall@top3: 0.8053 prec@top3: 0.7719 recall@top5: 0.9000 prec@top5: 0.5474 loss_action_cls: 0.0318 2023/03/11 10:06:53 - mmengine - INFO - Epoch(train) [18][ 180/4451] lr: 2.7627e-07 eta: 2:43:21 time: 2.2544 data_time: 0.0148 memory: 51970 grad_norm: 0.1311 loss: 0.0285 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7895 recall@top3: 0.9298 prec@top3: 0.6667 recall@top5: 0.9737 prec@top5: 0.4211 loss_action_cls: 0.0285 2023/03/11 10:07:22 - mmengine - INFO - Epoch(train) [18][ 200/4451] lr: 2.7546e-07 eta: 2:43:08 time: 1.4334 data_time: 0.0134 memory: 51970 grad_norm: 0.1316 loss: 0.0285 recall@thr=0.5: 0.7567 prec@thr=0.5: 0.7667 recall@top3: 0.8933 prec@top3: 0.6133 recall@top5: 0.9867 prec@top5: 0.4240 loss_action_cls: 0.0285 2023/03/11 10:08:05 - mmengine - INFO - Epoch(train) [18][ 220/4451] lr: 2.7465e-07 eta: 2:42:58 time: 2.1540 data_time: 0.2299 memory: 51970 grad_norm: 0.1375 loss: 0.0280 recall@thr=0.5: 0.8944 prec@thr=0.5: 0.9144 recall@top3: 0.8778 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4933 loss_action_cls: 0.0280 2023/03/11 10:08:37 - mmengine - INFO - Epoch(train) [18][ 240/4451] lr: 2.7384e-07 eta: 2:42:46 time: 1.5693 data_time: 0.2635 memory: 51970 grad_norm: 0.1334 loss: 0.0294 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8159 recall@top3: 0.9365 prec@top3: 0.6667 recall@top5: 0.9841 prec@top5: 0.4286 loss_action_cls: 0.0294 2023/03/11 10:09:21 - mmengine - INFO - Epoch(train) [18][ 260/4451] lr: 2.7303e-07 eta: 2:42:36 time: 2.2006 data_time: 0.3589 memory: 51970 grad_norm: 0.1357 loss: 0.0293 recall@thr=0.5: 0.7467 prec@thr=0.5: 0.7133 recall@top3: 0.8000 prec@top3: 0.6533 recall@top5: 0.9400 prec@top5: 0.4800 loss_action_cls: 0.0293 2023/03/11 10:09:50 - mmengine - INFO - Epoch(train) [18][ 280/4451] lr: 2.7222e-07 eta: 2:42:24 time: 1.4825 data_time: 0.5614 memory: 51970 grad_norm: 0.1447 loss: 0.0306 recall@thr=0.5: 0.7647 prec@thr=0.5: 0.6863 recall@top3: 0.8137 prec@top3: 0.5294 recall@top5: 0.9118 prec@top5: 0.3765 loss_action_cls: 0.0306 2023/03/11 10:10:30 - mmengine - INFO - Epoch(train) [18][ 300/4451] lr: 2.7142e-07 eta: 2:42:13 time: 2.0034 data_time: 1.0522 memory: 51970 grad_norm: 0.1354 loss: 0.0270 recall@thr=0.5: 0.6979 prec@thr=0.5: 0.8542 recall@top3: 0.8160 prec@top3: 0.7500 recall@top5: 0.9722 prec@top5: 0.5417 loss_action_cls: 0.0270 2023/03/11 10:11:08 - mmengine - INFO - Epoch(train) [18][ 320/4451] lr: 2.7061e-07 eta: 2:42:02 time: 1.8991 data_time: 1.3186 memory: 51970 grad_norm: 0.1348 loss: 0.0252 recall@thr=0.5: 0.7965 prec@thr=0.5: 0.8982 recall@top3: 0.8211 prec@top3: 0.7544 recall@top5: 0.9719 prec@top5: 0.5474 loss_action_cls: 0.0252 2023/03/11 10:11:30 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 10:11:43 - mmengine - INFO - Epoch(train) [18][ 340/4451] lr: 2.6981e-07 eta: 2:41:51 time: 1.7254 data_time: 0.8594 memory: 51970 grad_norm: 0.1319 loss: 0.0282 recall@thr=0.5: 0.7949 prec@thr=0.5: 0.9615 recall@top3: 0.9487 prec@top3: 0.6410 recall@top5: 0.9487 prec@top5: 0.3846 loss_action_cls: 0.0282 2023/03/11 10:12:20 - mmengine - INFO - Epoch(train) [18][ 360/4451] lr: 2.6901e-07 eta: 2:41:40 time: 1.8677 data_time: 0.5097 memory: 51970 grad_norm: 0.1356 loss: 0.0289 recall@thr=0.5: 0.6603 prec@thr=0.5: 0.6923 recall@top3: 0.8846 prec@top3: 0.6538 recall@top5: 1.0000 prec@top5: 0.4538 loss_action_cls: 0.0289 2023/03/11 10:12:59 - mmengine - INFO - Epoch(train) [18][ 380/4451] lr: 2.6820e-07 eta: 2:41:29 time: 1.9308 data_time: 0.7979 memory: 51970 grad_norm: 0.1357 loss: 0.0296 recall@thr=0.5: 0.6938 prec@thr=0.5: 0.7708 recall@top3: 0.7979 prec@top3: 0.6042 recall@top5: 0.9688 prec@top5: 0.4500 loss_action_cls: 0.0296 2023/03/11 10:13:35 - mmengine - INFO - Epoch(train) [18][ 400/4451] lr: 2.6740e-07 eta: 2:41:17 time: 1.7869 data_time: 0.9621 memory: 51970 grad_norm: 0.1377 loss: 0.0318 recall@thr=0.5: 0.7525 prec@thr=0.5: 0.8384 recall@top3: 0.8586 prec@top3: 0.7576 recall@top5: 0.9848 prec@top5: 0.5333 loss_action_cls: 0.0318 2023/03/11 10:14:18 - mmengine - INFO - Epoch(train) [18][ 420/4451] lr: 2.6660e-07 eta: 2:41:07 time: 2.1550 data_time: 1.7171 memory: 51970 grad_norm: 0.1347 loss: 0.0265 recall@thr=0.5: 0.8860 prec@thr=0.5: 1.0000 recall@top3: 0.9035 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0265 2023/03/11 10:14:50 - mmengine - INFO - Epoch(train) [18][ 440/4451] lr: 2.6581e-07 eta: 2:40:55 time: 1.6078 data_time: 1.1594 memory: 51970 grad_norm: 0.1420 loss: 0.0314 recall@thr=0.5: 0.5936 prec@thr=0.5: 0.7500 recall@top3: 0.7224 prec@top3: 0.5128 recall@top5: 0.9122 prec@top5: 0.4154 loss_action_cls: 0.0314 2023/03/11 10:15:30 - mmengine - INFO - Epoch(train) [18][ 460/4451] lr: 2.6501e-07 eta: 2:40:45 time: 2.0290 data_time: 1.4820 memory: 51970 grad_norm: 0.1350 loss: 0.0278 recall@thr=0.5: 0.6594 prec@thr=0.5: 0.7391 recall@top3: 0.8986 prec@top3: 0.6957 recall@top5: 0.9565 prec@top5: 0.4435 loss_action_cls: 0.0278 2023/03/11 10:16:03 - mmengine - INFO - Epoch(train) [18][ 480/4451] lr: 2.6421e-07 eta: 2:40:33 time: 1.6287 data_time: 1.2080 memory: 51970 grad_norm: 0.1353 loss: 0.0283 recall@thr=0.5: 0.5882 prec@thr=0.5: 0.5882 recall@top3: 0.7451 prec@top3: 0.5882 recall@top5: 0.8824 prec@top5: 0.4000 loss_action_cls: 0.0283 2023/03/11 10:16:44 - mmengine - INFO - Epoch(train) [18][ 500/4451] lr: 2.6342e-07 eta: 2:40:22 time: 2.0501 data_time: 1.6247 memory: 51970 grad_norm: 0.1369 loss: 0.0270 recall@thr=0.5: 0.6228 prec@thr=0.5: 0.7237 recall@top3: 0.8070 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.5158 loss_action_cls: 0.0270 2023/03/11 10:17:14 - mmengine - INFO - Epoch(train) [18][ 520/4451] lr: 2.6262e-07 eta: 2:40:10 time: 1.4903 data_time: 1.0680 memory: 51970 grad_norm: 0.1393 loss: 0.0296 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.6296 recall@top3: 0.9167 prec@top3: 0.5185 recall@top5: 0.9167 prec@top5: 0.3111 loss_action_cls: 0.0296 2023/03/11 10:17:56 - mmengine - INFO - Epoch(train) [18][ 540/4451] lr: 2.6183e-07 eta: 2:39:59 time: 2.1152 data_time: 1.6250 memory: 51970 grad_norm: 0.1376 loss: 0.0311 recall@thr=0.5: 0.8026 prec@thr=0.5: 0.9105 recall@top3: 0.8640 prec@top3: 0.7368 recall@top5: 0.9693 prec@top5: 0.5158 loss_action_cls: 0.0311 2023/03/11 10:18:30 - mmengine - INFO - Epoch(train) [18][ 560/4451] lr: 2.6104e-07 eta: 2:39:47 time: 1.6928 data_time: 1.1483 memory: 51970 grad_norm: 0.1389 loss: 0.0287 recall@thr=0.5: 0.8611 prec@thr=0.5: 0.7778 recall@top3: 0.8757 prec@top3: 0.7222 recall@top5: 0.9514 prec@top5: 0.4833 loss_action_cls: 0.0287 2023/03/11 10:19:14 - mmengine - INFO - Epoch(train) [18][ 580/4451] lr: 2.6025e-07 eta: 2:39:37 time: 2.2007 data_time: 1.7753 memory: 51970 grad_norm: 0.1371 loss: 0.0313 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8889 recall@top3: 0.9259 prec@top3: 0.8333 recall@top5: 0.9861 prec@top5: 0.5444 loss_action_cls: 0.0313 2023/03/11 10:19:46 - mmengine - INFO - Epoch(train) [18][ 600/4451] lr: 2.5946e-07 eta: 2:39:25 time: 1.5891 data_time: 1.1667 memory: 51970 grad_norm: 0.1439 loss: 0.0277 recall@thr=0.5: 0.6490 prec@thr=0.5: 0.7641 recall@top3: 0.8510 prec@top3: 0.7980 recall@top5: 0.9293 prec@top5: 0.5394 loss_action_cls: 0.0277 2023/03/11 10:20:23 - mmengine - INFO - Epoch(train) [18][ 620/4451] lr: 2.5867e-07 eta: 2:39:14 time: 1.8398 data_time: 1.4145 memory: 51970 grad_norm: 0.1435 loss: 0.0279 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.8667 recall@top3: 0.9292 prec@top3: 0.5833 recall@top5: 0.9875 prec@top5: 0.3800 loss_action_cls: 0.0279 2023/03/11 10:20:55 - mmengine - INFO - Epoch(train) [18][ 640/4451] lr: 2.5788e-07 eta: 2:39:02 time: 1.6205 data_time: 0.9224 memory: 51970 grad_norm: 0.1424 loss: 0.0317 recall@thr=0.5: 0.7407 prec@thr=0.5: 0.8241 recall@top3: 0.9630 prec@top3: 0.7593 recall@top5: 0.9815 prec@top5: 0.4667 loss_action_cls: 0.0317 2023/03/11 10:21:37 - mmengine - INFO - Epoch(train) [18][ 660/4451] lr: 2.5710e-07 eta: 2:38:51 time: 2.1267 data_time: 1.6821 memory: 51970 grad_norm: 0.1390 loss: 0.0316 recall@thr=0.5: 0.8107 prec@thr=0.5: 0.8233 recall@top3: 0.8713 prec@top3: 0.6667 recall@top5: 0.9667 prec@top5: 0.4720 loss_action_cls: 0.0316 2023/03/11 10:22:10 - mmengine - INFO - Epoch(train) [18][ 680/4451] lr: 2.5631e-07 eta: 2:38:39 time: 1.6287 data_time: 1.1674 memory: 51970 grad_norm: 0.1363 loss: 0.0306 recall@thr=0.5: 0.8272 prec@thr=0.5: 0.8920 recall@top3: 0.9321 prec@top3: 0.7407 recall@top5: 1.0000 prec@top5: 0.4815 loss_action_cls: 0.0306 2023/03/11 10:22:50 - mmengine - INFO - Epoch(train) [18][ 700/4451] lr: 2.5553e-07 eta: 2:38:28 time: 2.0021 data_time: 1.3094 memory: 51970 grad_norm: 0.1363 loss: 0.0260 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.7593 recall@top3: 0.8750 prec@top3: 0.6111 recall@top5: 0.9815 prec@top5: 0.4444 loss_action_cls: 0.0260 2023/03/11 10:23:25 - mmengine - INFO - Epoch(train) [18][ 720/4451] lr: 2.5474e-07 eta: 2:38:16 time: 1.7460 data_time: 0.9920 memory: 51970 grad_norm: 0.1407 loss: 0.0269 recall@thr=0.5: 0.6630 prec@thr=0.5: 0.7870 recall@top3: 0.8296 prec@top3: 0.6296 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0269 2023/03/11 10:24:05 - mmengine - INFO - Epoch(train) [18][ 740/4451] lr: 2.5396e-07 eta: 2:38:06 time: 1.9792 data_time: 0.8914 memory: 51970 grad_norm: 0.1380 loss: 0.0286 recall@thr=0.5: 0.8712 prec@thr=0.5: 0.9545 recall@top3: 0.9318 prec@top3: 0.6970 recall@top5: 0.9886 prec@top5: 0.4364 loss_action_cls: 0.0286 2023/03/11 10:24:43 - mmengine - INFO - Epoch(train) [18][ 760/4451] lr: 2.5318e-07 eta: 2:37:54 time: 1.8939 data_time: 0.7737 memory: 51970 grad_norm: 0.1355 loss: 0.0314 recall@thr=0.5: 0.7391 prec@thr=0.5: 0.7138 recall@top3: 0.8587 prec@top3: 0.6957 recall@top5: 0.9674 prec@top5: 0.4783 loss_action_cls: 0.0314 2023/03/11 10:25:14 - mmengine - INFO - Epoch(train) [18][ 780/4451] lr: 2.5240e-07 eta: 2:37:42 time: 1.5775 data_time: 0.7251 memory: 51970 grad_norm: 0.1382 loss: 0.0267 recall@thr=0.5: 0.6806 prec@thr=0.5: 0.6944 recall@top3: 0.8472 prec@top3: 0.6481 recall@top5: 0.9259 prec@top5: 0.4444 loss_action_cls: 0.0267 2023/03/11 10:25:37 - mmengine - INFO - Epoch(train) [18][ 800/4451] lr: 2.5162e-07 eta: 2:37:28 time: 1.1456 data_time: 0.1828 memory: 51970 grad_norm: 0.1365 loss: 0.0281 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.8000 recall@top3: 0.9267 prec@top3: 0.6133 recall@top5: 0.9867 prec@top5: 0.4080 loss_action_cls: 0.0281 2023/03/11 10:26:32 - mmengine - INFO - Epoch(train) [18][ 820/4451] lr: 2.5084e-07 eta: 2:37:20 time: 2.7725 data_time: 0.5474 memory: 51970 grad_norm: 0.1330 loss: 0.0283 recall@thr=0.5: 0.7237 prec@thr=0.5: 0.8509 recall@top3: 0.8596 prec@top3: 0.6842 recall@top5: 0.9386 prec@top5: 0.4632 loss_action_cls: 0.0283 2023/03/11 10:27:23 - mmengine - INFO - Epoch(train) [18][ 840/4451] lr: 2.5007e-07 eta: 2:37:10 time: 2.5420 data_time: 0.4488 memory: 51970 grad_norm: 0.1358 loss: 0.0265 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8889 recall@top3: 0.7963 prec@top3: 0.7593 recall@top5: 0.8704 prec@top5: 0.5111 loss_action_cls: 0.0265 2023/03/11 10:28:15 - mmengine - INFO - Epoch(train) [18][ 860/4451] lr: 2.4929e-07 eta: 2:37:01 time: 2.5765 data_time: 0.2178 memory: 51970 grad_norm: 0.1310 loss: 0.0287 recall@thr=0.5: 0.7745 prec@thr=0.5: 0.8186 recall@top3: 0.9020 prec@top3: 0.6078 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0287 2023/03/11 10:29:11 - mmengine - INFO - Epoch(train) [18][ 880/4451] lr: 2.4852e-07 eta: 2:36:53 time: 2.8006 data_time: 1.3946 memory: 51970 grad_norm: 0.1378 loss: 0.0271 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7879 recall@top3: 0.9470 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0271 2023/03/11 10:29:57 - mmengine - INFO - Epoch(train) [18][ 900/4451] lr: 2.4774e-07 eta: 2:36:43 time: 2.2856 data_time: 1.2141 memory: 51970 grad_norm: 0.1399 loss: 0.0309 recall@thr=0.5: 0.7431 prec@thr=0.5: 0.8627 recall@top3: 0.8245 prec@top3: 0.7059 recall@top5: 0.9588 prec@top5: 0.5176 loss_action_cls: 0.0309 2023/03/11 10:30:11 - mmengine - INFO - Epoch(train) [18][ 920/4451] lr: 2.4697e-07 eta: 2:36:28 time: 0.7072 data_time: 0.2698 memory: 51970 grad_norm: 0.1391 loss: 0.0294 recall@thr=0.5: 0.7242 prec@thr=0.5: 0.7053 recall@top3: 0.7667 prec@top3: 0.6667 recall@top5: 0.9356 prec@top5: 0.5000 loss_action_cls: 0.0294 2023/03/11 10:30:21 - mmengine - INFO - Epoch(train) [18][ 940/4451] lr: 2.4620e-07 eta: 2:36:12 time: 0.5202 data_time: 0.0769 memory: 51970 grad_norm: 0.1388 loss: 0.0267 recall@thr=0.5: 0.8529 prec@thr=0.5: 0.8333 recall@top3: 0.8922 prec@top3: 0.6471 recall@top5: 1.0000 prec@top5: 0.4588 loss_action_cls: 0.0267 2023/03/11 10:30:36 - mmengine - INFO - Epoch(train) [18][ 960/4451] lr: 2.4543e-07 eta: 2:35:57 time: 0.7188 data_time: 0.1208 memory: 51970 grad_norm: 0.1453 loss: 0.0297 recall@thr=0.5: 0.6377 prec@thr=0.5: 0.7319 recall@top3: 0.8116 prec@top3: 0.6087 recall@top5: 0.9565 prec@top5: 0.4435 loss_action_cls: 0.0297 2023/03/11 10:30:47 - mmengine - INFO - Epoch(train) [18][ 980/4451] lr: 2.4466e-07 eta: 2:35:41 time: 0.5746 data_time: 0.0385 memory: 51970 grad_norm: 0.1385 loss: 0.0262 recall@thr=0.5: 0.7045 prec@thr=0.5: 0.7500 recall@top3: 0.9470 prec@top3: 0.6970 recall@top5: 0.9848 prec@top5: 0.4364 loss_action_cls: 0.0262 2023/03/11 10:31:01 - mmengine - INFO - Epoch(train) [18][1000/4451] lr: 2.4389e-07 eta: 2:35:26 time: 0.7015 data_time: 0.0914 memory: 51970 grad_norm: 0.1354 loss: 0.0282 recall@thr=0.5: 0.6272 prec@thr=0.5: 0.7383 recall@top3: 0.7469 prec@top3: 0.7407 recall@top5: 0.9759 prec@top5: 0.5556 loss_action_cls: 0.0282 2023/03/11 10:31:13 - mmengine - INFO - Epoch(train) [18][1020/4451] lr: 2.4313e-07 eta: 2:35:10 time: 0.5734 data_time: 0.0179 memory: 51970 grad_norm: 0.1355 loss: 0.0268 recall@thr=0.5: 0.7583 prec@thr=0.5: 0.9083 recall@top3: 0.8750 prec@top3: 0.7333 recall@top5: 0.9750 prec@top5: 0.5000 loss_action_cls: 0.0268 2023/03/11 10:31:24 - mmengine - INFO - Epoch(train) [18][1040/4451] lr: 2.4236e-07 eta: 2:34:54 time: 0.5895 data_time: 0.0678 memory: 51970 grad_norm: 0.1406 loss: 0.0296 recall@thr=0.5: 0.7381 prec@thr=0.5: 0.8333 recall@top3: 0.8512 prec@top3: 0.7143 recall@top5: 0.9405 prec@top5: 0.4714 loss_action_cls: 0.0296 2023/03/11 10:31:37 - mmengine - INFO - Epoch(train) [18][1060/4451] lr: 2.4160e-07 eta: 2:34:39 time: 0.6438 data_time: 0.0834 memory: 51970 grad_norm: 0.1469 loss: 0.0306 recall@thr=0.5: 0.6700 prec@thr=0.5: 0.7500 recall@top3: 0.8592 prec@top3: 0.7167 recall@top5: 0.9125 prec@top5: 0.4700 loss_action_cls: 0.0306 2023/03/11 10:31:49 - mmengine - INFO - Epoch(train) [18][1080/4451] lr: 2.4083e-07 eta: 2:34:23 time: 0.5885 data_time: 0.0494 memory: 51970 grad_norm: 0.1362 loss: 0.0279 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.8125 recall@top3: 0.8875 prec@top3: 0.5208 recall@top5: 0.9688 prec@top5: 0.3750 loss_action_cls: 0.0279 2023/03/11 10:32:02 - mmengine - INFO - Epoch(train) [18][1100/4451] lr: 2.4007e-07 eta: 2:34:08 time: 0.6398 data_time: 0.0193 memory: 51970 grad_norm: 0.1360 loss: 0.0284 recall@thr=0.5: 0.8472 prec@thr=0.5: 0.8194 recall@top3: 0.9278 prec@top3: 0.7037 recall@top5: 1.0000 prec@top5: 0.4889 loss_action_cls: 0.0284 2023/03/11 10:32:14 - mmengine - INFO - Epoch(train) [18][1120/4451] lr: 2.3931e-07 eta: 2:33:52 time: 0.6176 data_time: 0.0286 memory: 51970 grad_norm: 0.1360 loss: 0.0248 recall@thr=0.5: 0.7879 prec@thr=0.5: 0.8636 recall@top3: 0.9280 prec@top3: 0.6061 recall@top5: 0.9394 prec@top5: 0.3727 loss_action_cls: 0.0248 2023/03/11 10:32:26 - mmengine - INFO - Epoch(train) [18][1140/4451] lr: 2.3855e-07 eta: 2:33:36 time: 0.5745 data_time: 0.0146 memory: 51970 grad_norm: 0.1412 loss: 0.0282 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8667 recall@top3: 0.8500 prec@top3: 0.6833 recall@top5: 0.9250 prec@top5: 0.4600 loss_action_cls: 0.0282 2023/03/11 10:32:40 - mmengine - INFO - Epoch(train) [18][1160/4451] lr: 2.3779e-07 eta: 2:33:21 time: 0.7117 data_time: 0.0139 memory: 51970 grad_norm: 0.1304 loss: 0.0275 recall@thr=0.5: 0.7353 prec@thr=0.5: 0.9461 recall@top3: 0.8431 prec@top3: 0.7255 recall@top5: 1.0000 prec@top5: 0.5412 loss_action_cls: 0.0275 2023/03/11 10:32:52 - mmengine - INFO - Epoch(train) [18][1180/4451] lr: 2.3703e-07 eta: 2:33:06 time: 0.5860 data_time: 0.0117 memory: 51970 grad_norm: 0.1414 loss: 0.0306 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.8833 recall@top3: 0.9028 prec@top3: 0.7778 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0306 2023/03/11 10:33:04 - mmengine - INFO - Epoch(train) [18][1200/4451] lr: 2.3627e-07 eta: 2:32:50 time: 0.6070 data_time: 0.0144 memory: 51970 grad_norm: 0.1359 loss: 0.0272 recall@thr=0.5: 0.7667 prec@thr=0.5: 0.7944 recall@top3: 0.9389 prec@top3: 0.7000 recall@top5: 0.9611 prec@top5: 0.4333 loss_action_cls: 0.0272 2023/03/11 10:33:17 - mmengine - INFO - Epoch(train) [18][1220/4451] lr: 2.3552e-07 eta: 2:32:35 time: 0.6638 data_time: 0.0127 memory: 51970 grad_norm: 0.1348 loss: 0.0337 recall@thr=0.5: 0.5278 prec@thr=0.5: 0.5952 recall@top3: 0.7381 prec@top3: 0.5556 recall@top5: 0.8571 prec@top5: 0.4095 loss_action_cls: 0.0337 2023/03/11 10:33:29 - mmengine - INFO - Epoch(train) [18][1240/4451] lr: 2.3476e-07 eta: 2:32:19 time: 0.6051 data_time: 0.0240 memory: 51970 grad_norm: 0.1416 loss: 0.0317 recall@thr=0.5: 0.6032 prec@thr=0.5: 0.6905 recall@top3: 0.7857 prec@top3: 0.4921 recall@top5: 0.8571 prec@top5: 0.3333 loss_action_cls: 0.0317 2023/03/11 10:33:41 - mmengine - INFO - Epoch(train) [18][1260/4451] lr: 2.3401e-07 eta: 2:32:04 time: 0.6147 data_time: 0.0111 memory: 51970 grad_norm: 0.1439 loss: 0.0290 recall@thr=0.5: 0.7262 prec@thr=0.5: 0.8690 recall@top3: 0.8958 prec@top3: 0.8452 recall@top5: 0.9643 prec@top5: 0.5500 loss_action_cls: 0.0290 2023/03/11 10:33:54 - mmengine - INFO - Epoch(train) [18][1280/4451] lr: 2.3326e-07 eta: 2:31:48 time: 0.6180 data_time: 0.0136 memory: 51970 grad_norm: 0.1413 loss: 0.0275 recall@thr=0.5: 0.9375 prec@thr=0.5: 0.8667 recall@top3: 0.9875 prec@top3: 0.6500 recall@top5: 0.9875 prec@top5: 0.3900 loss_action_cls: 0.0275 2023/03/11 10:34:06 - mmengine - INFO - Epoch(train) [18][1300/4451] lr: 2.3251e-07 eta: 2:31:32 time: 0.5923 data_time: 0.0117 memory: 51970 grad_norm: 0.1419 loss: 0.0258 recall@thr=0.5: 0.7569 prec@thr=0.5: 0.7961 recall@top3: 0.8451 prec@top3: 0.7843 recall@top5: 1.0000 prec@top5: 0.5882 loss_action_cls: 0.0258 2023/03/11 10:34:17 - mmengine - INFO - Epoch(train) [18][1320/4451] lr: 2.3176e-07 eta: 2:31:17 time: 0.5904 data_time: 0.0592 memory: 51970 grad_norm: 0.1381 loss: 0.0307 recall@thr=0.5: 0.7841 prec@thr=0.5: 0.7538 recall@top3: 0.8068 prec@top3: 0.6970 recall@top5: 0.9205 prec@top5: 0.4545 loss_action_cls: 0.0307 2023/03/11 10:34:42 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 10:34:51 - mmengine - INFO - Epoch(train) [18][1340/4451] lr: 2.3101e-07 eta: 2:31:05 time: 1.6652 data_time: 0.2193 memory: 51970 grad_norm: 0.1434 loss: 0.0284 recall@thr=0.5: 0.7958 prec@thr=0.5: 0.8333 recall@top3: 0.8833 prec@top3: 0.6333 recall@top5: 0.9083 prec@top5: 0.4000 loss_action_cls: 0.0284 2023/03/11 10:35:33 - mmengine - INFO - Epoch(train) [18][1360/4451] lr: 2.3026e-07 eta: 2:30:54 time: 2.0982 data_time: 0.9542 memory: 51970 grad_norm: 0.1359 loss: 0.0303 recall@thr=0.5: 0.7091 prec@thr=0.5: 0.7318 recall@top3: 0.8773 prec@top3: 0.5758 recall@top5: 0.9364 prec@top5: 0.4000 loss_action_cls: 0.0303 2023/03/11 10:36:08 - mmengine - INFO - Epoch(train) [18][1380/4451] lr: 2.2951e-07 eta: 2:30:42 time: 1.7791 data_time: 0.7915 memory: 51970 grad_norm: 0.1335 loss: 0.0260 recall@thr=0.5: 0.8079 prec@thr=0.5: 0.9139 recall@top3: 0.8912 prec@top3: 0.7037 recall@top5: 0.9537 prec@top5: 0.4667 loss_action_cls: 0.0260 2023/03/11 10:36:52 - mmengine - INFO - Epoch(train) [18][1400/4451] lr: 2.2877e-07 eta: 2:30:31 time: 2.2025 data_time: 1.2797 memory: 51970 grad_norm: 0.1377 loss: 0.0321 recall@thr=0.5: 0.5196 prec@thr=0.5: 0.8627 recall@top3: 0.8578 prec@top3: 0.6863 recall@top5: 0.9412 prec@top5: 0.4706 loss_action_cls: 0.0321 2023/03/11 10:37:23 - mmengine - INFO - Epoch(train) [18][1420/4451] lr: 2.2802e-07 eta: 2:30:18 time: 1.5116 data_time: 0.8529 memory: 51970 grad_norm: 0.1414 loss: 0.0314 recall@thr=0.5: 0.6905 prec@thr=0.5: 0.7679 recall@top3: 0.9405 prec@top3: 0.7619 recall@top5: 0.9821 prec@top5: 0.4857 loss_action_cls: 0.0314 2023/03/11 10:38:05 - mmengine - INFO - Epoch(train) [18][1440/4451] lr: 2.2728e-07 eta: 2:30:08 time: 2.1318 data_time: 0.9868 memory: 51970 grad_norm: 0.1377 loss: 0.0287 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.8796 recall@top3: 0.8981 prec@top3: 0.7593 recall@top5: 0.9722 prec@top5: 0.5000 loss_action_cls: 0.0287 2023/03/11 10:38:36 - mmengine - INFO - Epoch(train) [18][1460/4451] lr: 2.2654e-07 eta: 2:29:55 time: 1.5406 data_time: 0.7461 memory: 51970 grad_norm: 0.1389 loss: 0.0311 recall@thr=0.5: 0.4896 prec@thr=0.5: 0.6458 recall@top3: 0.7135 prec@top3: 0.7292 recall@top5: 0.9219 prec@top5: 0.5750 loss_action_cls: 0.0311 2023/03/11 10:39:19 - mmengine - INFO - Epoch(train) [18][1480/4451] lr: 2.2580e-07 eta: 2:29:44 time: 2.1476 data_time: 1.5434 memory: 51970 grad_norm: 0.1359 loss: 0.0286 recall@thr=0.5: 0.6974 prec@thr=0.5: 0.8377 recall@top3: 0.8596 prec@top3: 0.7193 recall@top5: 0.9605 prec@top5: 0.5053 loss_action_cls: 0.0286 2023/03/11 10:39:52 - mmengine - INFO - Epoch(train) [18][1500/4451] lr: 2.2506e-07 eta: 2:29:32 time: 1.6299 data_time: 1.2039 memory: 51970 grad_norm: 0.1377 loss: 0.0307 recall@thr=0.5: 0.6179 prec@thr=0.5: 0.6923 recall@top3: 0.7833 prec@top3: 0.6154 recall@top5: 0.8308 prec@top5: 0.4077 loss_action_cls: 0.0307 2023/03/11 10:40:34 - mmengine - INFO - Epoch(train) [18][1520/4451] lr: 2.2432e-07 eta: 2:29:21 time: 2.1342 data_time: 1.7042 memory: 51970 grad_norm: 0.1365 loss: 0.0295 recall@thr=0.5: 0.7255 prec@thr=0.5: 0.7353 recall@top3: 0.8431 prec@top3: 0.5490 recall@top5: 0.8627 prec@top5: 0.3412 loss_action_cls: 0.0295 2023/03/11 10:41:02 - mmengine - INFO - Epoch(train) [18][1540/4451] lr: 2.2358e-07 eta: 2:29:07 time: 1.3993 data_time: 0.9739 memory: 51970 grad_norm: 0.1326 loss: 0.0279 recall@thr=0.5: 0.5917 prec@thr=0.5: 0.6750 recall@top3: 0.6808 prec@top3: 0.6333 recall@top5: 0.8783 prec@top5: 0.5000 loss_action_cls: 0.0279 2023/03/11 10:41:47 - mmengine - INFO - Epoch(train) [18][1560/4451] lr: 2.2284e-07 eta: 2:28:57 time: 2.2520 data_time: 1.8241 memory: 51970 grad_norm: 0.1419 loss: 0.0263 recall@thr=0.5: 0.6800 prec@thr=0.5: 0.7333 recall@top3: 0.8367 prec@top3: 0.6933 recall@top5: 0.9800 prec@top5: 0.5120 loss_action_cls: 0.0263 2023/03/11 10:42:20 - mmengine - INFO - Epoch(train) [18][1580/4451] lr: 2.2211e-07 eta: 2:28:44 time: 1.6498 data_time: 1.2246 memory: 51970 grad_norm: 0.1275 loss: 0.0286 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.8125 recall@top3: 0.9271 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0286 2023/03/11 10:43:03 - mmengine - INFO - Epoch(train) [18][1600/4451] lr: 2.2137e-07 eta: 2:28:34 time: 2.1472 data_time: 1.7184 memory: 51970 grad_norm: 0.1398 loss: 0.0292 recall@thr=0.5: 0.4833 prec@thr=0.5: 0.7628 recall@top3: 0.6372 prec@top3: 0.6282 recall@top5: 0.9077 prec@top5: 0.5385 loss_action_cls: 0.0292 2023/03/11 10:43:36 - mmengine - INFO - Epoch(train) [18][1620/4451] lr: 2.2064e-07 eta: 2:28:21 time: 1.6250 data_time: 1.1991 memory: 51970 grad_norm: 0.1450 loss: 0.0308 recall@thr=0.5: 0.7778 prec@thr=0.5: 0.8333 recall@top3: 0.9286 prec@top3: 0.6349 recall@top5: 0.9643 prec@top5: 0.4095 loss_action_cls: 0.0308 2023/03/11 10:44:20 - mmengine - INFO - Epoch(train) [18][1640/4451] lr: 2.1991e-07 eta: 2:28:10 time: 2.2013 data_time: 1.7741 memory: 51970 grad_norm: 0.1381 loss: 0.0295 recall@thr=0.5: 0.8583 prec@thr=0.5: 0.8250 recall@top3: 0.9000 prec@top3: 0.5667 recall@top5: 1.0000 prec@top5: 0.3900 loss_action_cls: 0.0295 2023/03/11 10:44:48 - mmengine - INFO - Epoch(train) [18][1660/4451] lr: 2.1917e-07 eta: 2:27:57 time: 1.4253 data_time: 0.9979 memory: 51970 grad_norm: 0.1358 loss: 0.0289 recall@thr=0.5: 0.8968 prec@thr=0.5: 0.9524 recall@top3: 0.9524 prec@top3: 0.8095 recall@top5: 1.0000 prec@top5: 0.5238 loss_action_cls: 0.0289 2023/03/11 10:45:35 - mmengine - INFO - Epoch(train) [18][1680/4451] lr: 2.1844e-07 eta: 2:27:47 time: 2.3337 data_time: 1.9035 memory: 51970 grad_norm: 0.1352 loss: 0.0299 recall@thr=0.5: 0.9493 prec@thr=0.5: 0.9094 recall@top3: 0.9565 prec@top3: 0.8406 recall@top5: 1.0000 prec@top5: 0.5304 loss_action_cls: 0.0299 2023/03/11 10:46:02 - mmengine - INFO - Epoch(train) [18][1700/4451] lr: 2.1771e-07 eta: 2:27:33 time: 1.3574 data_time: 0.9303 memory: 51970 grad_norm: 0.1386 loss: 0.0307 recall@thr=0.5: 0.7976 prec@thr=0.5: 0.8805 recall@top3: 0.8548 prec@top3: 0.8762 recall@top5: 0.9643 prec@top5: 0.6057 loss_action_cls: 0.0307 2023/03/11 10:46:47 - mmengine - INFO - Epoch(train) [18][1720/4451] lr: 2.1699e-07 eta: 2:27:22 time: 2.2410 data_time: 1.8061 memory: 51970 grad_norm: 0.1372 loss: 0.0302 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8596 recall@top3: 0.8377 prec@top3: 0.6140 recall@top5: 0.9649 prec@top5: 0.4526 loss_action_cls: 0.0302 2023/03/11 10:47:18 - mmengine - INFO - Epoch(train) [18][1740/4451] lr: 2.1626e-07 eta: 2:27:10 time: 1.5273 data_time: 1.1012 memory: 51970 grad_norm: 0.1393 loss: 0.0295 recall@thr=0.5: 0.8789 prec@thr=0.5: 0.9649 recall@top3: 0.9579 prec@top3: 0.5263 recall@top5: 1.0000 prec@top5: 0.3579 loss_action_cls: 0.0295 2023/03/11 10:48:05 - mmengine - INFO - Epoch(train) [18][1760/4451] lr: 2.1553e-07 eta: 2:26:59 time: 2.3573 data_time: 1.9278 memory: 51970 grad_norm: 0.1328 loss: 0.0301 recall@thr=0.5: 0.6708 prec@thr=0.5: 0.8083 recall@top3: 0.8458 prec@top3: 0.7333 recall@top5: 0.9250 prec@top5: 0.5000 loss_action_cls: 0.0301 2023/03/11 10:48:39 - mmengine - INFO - Epoch(train) [18][1780/4451] lr: 2.1481e-07 eta: 2:26:47 time: 1.6907 data_time: 1.2663 memory: 51970 grad_norm: 0.1398 loss: 0.0301 recall@thr=0.5: 0.5247 prec@thr=0.5: 0.6451 recall@top3: 0.7840 prec@top3: 0.5926 recall@top5: 0.9691 prec@top5: 0.4593 loss_action_cls: 0.0301 2023/03/11 10:49:19 - mmengine - INFO - Epoch(train) [18][1800/4451] lr: 2.1409e-07 eta: 2:26:35 time: 2.0184 data_time: 1.5907 memory: 51970 grad_norm: 0.1348 loss: 0.0302 recall@thr=0.5: 0.5104 prec@thr=0.5: 0.5750 recall@top3: 0.7396 prec@top3: 0.5208 recall@top5: 0.9271 prec@top5: 0.4062 loss_action_cls: 0.0302 2023/03/11 10:49:50 - mmengine - INFO - Epoch(train) [18][1820/4451] lr: 2.1336e-07 eta: 2:26:22 time: 1.5440 data_time: 1.1160 memory: 51970 grad_norm: 0.1411 loss: 0.0284 recall@thr=0.5: 0.6078 prec@thr=0.5: 0.7059 recall@top3: 0.8235 prec@top3: 0.5882 recall@top5: 0.9412 prec@top5: 0.3882 loss_action_cls: 0.0284 2023/03/11 10:50:32 - mmengine - INFO - Epoch(train) [18][1840/4451] lr: 2.1264e-07 eta: 2:26:11 time: 2.0921 data_time: 1.6601 memory: 51970 grad_norm: 0.1326 loss: 0.0256 recall@thr=0.5: 0.8519 prec@thr=0.5: 0.8796 recall@top3: 0.9722 prec@top3: 0.5741 recall@top5: 1.0000 prec@top5: 0.3556 loss_action_cls: 0.0256 2023/03/11 10:51:07 - mmengine - INFO - Epoch(train) [18][1860/4451] lr: 2.1192e-07 eta: 2:25:59 time: 1.7484 data_time: 1.3205 memory: 51970 grad_norm: 0.1467 loss: 0.0320 recall@thr=0.5: 0.7963 prec@thr=0.5: 0.7593 recall@top3: 0.7593 prec@top3: 0.5556 recall@top5: 0.8472 prec@top5: 0.3889 loss_action_cls: 0.0320 2023/03/11 10:51:49 - mmengine - INFO - Epoch(train) [18][1880/4451] lr: 2.1120e-07 eta: 2:25:47 time: 2.0952 data_time: 1.5674 memory: 51970 grad_norm: 0.1364 loss: 0.0262 recall@thr=0.5: 0.7018 prec@thr=0.5: 0.7570 recall@top3: 0.7632 prec@top3: 0.6491 recall@top5: 0.8991 prec@top5: 0.4842 loss_action_cls: 0.0262 2023/03/11 10:52:21 - mmengine - INFO - Epoch(train) [18][1900/4451] lr: 2.1049e-07 eta: 2:25:35 time: 1.6138 data_time: 1.0848 memory: 51970 grad_norm: 0.1430 loss: 0.0322 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.6978 recall@top3: 0.9278 prec@top3: 0.7111 recall@top5: 1.0000 prec@top5: 0.4667 loss_action_cls: 0.0322 2023/03/11 10:53:07 - mmengine - INFO - Epoch(train) [18][1920/4451] lr: 2.0977e-07 eta: 2:25:24 time: 2.2936 data_time: 1.1081 memory: 51970 grad_norm: 0.1319 loss: 0.0282 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.8500 recall@top3: 1.0000 prec@top3: 0.5667 recall@top5: 1.0000 prec@top5: 0.3400 loss_action_cls: 0.0282 2023/03/11 10:53:40 - mmengine - INFO - Epoch(train) [18][1940/4451] lr: 2.0905e-07 eta: 2:25:11 time: 1.6424 data_time: 0.4832 memory: 51970 grad_norm: 0.1385 loss: 0.0289 recall@thr=0.5: 0.8434 prec@thr=0.5: 0.8434 recall@top3: 0.8838 prec@top3: 0.8182 recall@top5: 0.9924 prec@top5: 0.5515 loss_action_cls: 0.0289 2023/03/11 10:54:19 - mmengine - INFO - Epoch(train) [18][1960/4451] lr: 2.0834e-07 eta: 2:25:00 time: 1.9876 data_time: 0.6782 memory: 51970 grad_norm: 0.1358 loss: 0.0324 recall@thr=0.5: 0.7588 prec@thr=0.5: 0.8070 recall@top3: 0.7632 prec@top3: 0.6842 recall@top5: 0.8640 prec@top5: 0.4947 loss_action_cls: 0.0324 2023/03/11 10:54:48 - mmengine - INFO - Epoch(train) [18][1980/4451] lr: 2.0763e-07 eta: 2:24:46 time: 1.4487 data_time: 0.6778 memory: 51970 grad_norm: 0.1407 loss: 0.0275 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.8125 recall@top3: 0.8594 prec@top3: 0.7812 recall@top5: 0.9688 prec@top5: 0.5375 loss_action_cls: 0.0275 2023/03/11 10:55:30 - mmengine - INFO - Epoch(train) [18][2000/4451] lr: 2.0691e-07 eta: 2:24:35 time: 2.0775 data_time: 1.4543 memory: 51970 grad_norm: 0.1405 loss: 0.0311 recall@thr=0.5: 0.8269 prec@thr=0.5: 0.7949 recall@top3: 0.8622 prec@top3: 0.6410 recall@top5: 0.9615 prec@top5: 0.4462 loss_action_cls: 0.0311 2023/03/11 10:56:05 - mmengine - INFO - Epoch(train) [18][2020/4451] lr: 2.0620e-07 eta: 2:24:22 time: 1.7350 data_time: 1.2916 memory: 51970 grad_norm: 0.1316 loss: 0.0232 recall@thr=0.5: 0.8681 prec@thr=0.5: 0.8958 recall@top3: 0.9097 prec@top3: 0.7222 recall@top5: 0.9514 prec@top5: 0.4583 loss_action_cls: 0.0232 2023/03/11 10:56:48 - mmengine - INFO - Epoch(train) [18][2040/4451] lr: 2.0549e-07 eta: 2:24:11 time: 2.1856 data_time: 1.6794 memory: 51970 grad_norm: 0.1411 loss: 0.0322 recall@thr=0.5: 0.5216 prec@thr=0.5: 0.5494 recall@top3: 0.6975 prec@top3: 0.4568 recall@top5: 0.8488 prec@top5: 0.3481 loss_action_cls: 0.0322 2023/03/11 10:57:21 - mmengine - INFO - Epoch(train) [18][2060/4451] lr: 2.0479e-07 eta: 2:23:59 time: 1.6623 data_time: 1.0528 memory: 51970 grad_norm: 0.1361 loss: 0.0260 recall@thr=0.5: 0.7986 prec@thr=0.5: 0.8542 recall@top3: 0.8715 prec@top3: 0.6806 recall@top5: 0.9479 prec@top5: 0.4583 loss_action_cls: 0.0260 2023/03/11 10:58:05 - mmengine - INFO - Epoch(train) [18][2080/4451] lr: 2.0408e-07 eta: 2:23:47 time: 2.1715 data_time: 1.7374 memory: 51970 grad_norm: 0.1384 loss: 0.0261 recall@thr=0.5: 0.7833 prec@thr=0.5: 0.7983 recall@top3: 0.8958 prec@top3: 0.5500 recall@top5: 0.9583 prec@top5: 0.3700 loss_action_cls: 0.0261 2023/03/11 10:58:36 - mmengine - INFO - Epoch(train) [18][2100/4451] lr: 2.0337e-07 eta: 2:23:34 time: 1.5594 data_time: 1.1286 memory: 51970 grad_norm: 0.1374 loss: 0.0310 recall@thr=0.5: 0.8841 prec@thr=0.5: 0.8768 recall@top3: 0.9203 prec@top3: 0.7536 recall@top5: 0.9855 prec@top5: 0.5043 loss_action_cls: 0.0310 2023/03/11 10:59:22 - mmengine - INFO - Epoch(train) [18][2120/4451] lr: 2.0267e-07 eta: 2:23:23 time: 2.2929 data_time: 1.8343 memory: 51970 grad_norm: 0.1345 loss: 0.0245 recall@thr=0.5: 0.8722 prec@thr=0.5: 0.8889 recall@top3: 0.9222 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0245 2023/03/11 10:59:49 - mmengine - INFO - Epoch(train) [18][2140/4451] lr: 2.0196e-07 eta: 2:23:10 time: 1.3659 data_time: 0.9394 memory: 51970 grad_norm: 0.1387 loss: 0.0281 recall@thr=0.5: 0.6970 prec@thr=0.5: 0.8750 recall@top3: 0.8371 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4727 loss_action_cls: 0.0281 2023/03/11 11:00:32 - mmengine - INFO - Epoch(train) [18][2160/4451] lr: 2.0126e-07 eta: 2:22:58 time: 2.1264 data_time: 1.6969 memory: 51970 grad_norm: 0.1355 loss: 0.0309 recall@thr=0.5: 0.5699 prec@thr=0.5: 0.6403 recall@top3: 0.7231 prec@top3: 0.6344 recall@top5: 0.8817 prec@top5: 0.4839 loss_action_cls: 0.0309 2023/03/11 11:01:04 - mmengine - INFO - Epoch(train) [18][2180/4451] lr: 2.0056e-07 eta: 2:22:46 time: 1.5949 data_time: 1.0902 memory: 51970 grad_norm: 0.1405 loss: 0.0278 recall@thr=0.5: 0.5974 prec@thr=0.5: 0.6579 recall@top3: 0.8219 prec@top3: 0.7018 recall@top5: 0.9386 prec@top5: 0.5053 loss_action_cls: 0.0278 2023/03/11 11:01:48 - mmengine - INFO - Epoch(train) [18][2200/4451] lr: 1.9986e-07 eta: 2:22:34 time: 2.2121 data_time: 1.7653 memory: 51970 grad_norm: 0.1314 loss: 0.0319 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.7941 recall@top3: 0.8294 prec@top3: 0.6275 recall@top5: 0.9588 prec@top5: 0.4588 loss_action_cls: 0.0319 2023/03/11 11:02:19 - mmengine - INFO - Epoch(train) [18][2220/4451] lr: 1.9916e-07 eta: 2:22:21 time: 1.5397 data_time: 1.1100 memory: 51970 grad_norm: 0.1413 loss: 0.0258 recall@thr=0.5: 0.8016 prec@thr=0.5: 0.7778 recall@top3: 0.8571 prec@top3: 0.5873 recall@top5: 0.9762 prec@top5: 0.3810 loss_action_cls: 0.0258 2023/03/11 11:03:03 - mmengine - INFO - Epoch(train) [18][2240/4451] lr: 1.9846e-07 eta: 2:22:10 time: 2.2323 data_time: 1.8006 memory: 51970 grad_norm: 0.1376 loss: 0.0316 recall@thr=0.5: 0.5192 prec@thr=0.5: 0.6282 recall@top3: 0.8494 prec@top3: 0.5769 recall@top5: 0.9487 prec@top5: 0.4077 loss_action_cls: 0.0316 2023/03/11 11:03:36 - mmengine - INFO - Epoch(train) [18][2260/4451] lr: 1.9776e-07 eta: 2:21:57 time: 1.6063 data_time: 1.1805 memory: 51970 grad_norm: 0.1442 loss: 0.0303 recall@thr=0.5: 0.6237 prec@thr=0.5: 0.6962 recall@top3: 0.6828 prec@top3: 0.4409 recall@top5: 0.8226 prec@top5: 0.3290 loss_action_cls: 0.0303 2023/03/11 11:04:19 - mmengine - INFO - Epoch(train) [18][2280/4451] lr: 1.9706e-07 eta: 2:21:46 time: 2.1837 data_time: 1.7522 memory: 51970 grad_norm: 0.1359 loss: 0.0286 recall@thr=0.5: 0.8447 prec@thr=0.5: 0.8864 recall@top3: 0.8500 prec@top3: 0.7879 recall@top5: 0.9545 prec@top5: 0.5455 loss_action_cls: 0.0286 2023/03/11 11:04:49 - mmengine - INFO - Epoch(train) [18][2300/4451] lr: 1.9637e-07 eta: 2:21:32 time: 1.4888 data_time: 0.9318 memory: 51970 grad_norm: 0.1367 loss: 0.0274 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8889 recall@top3: 0.9278 prec@top3: 0.7111 recall@top5: 0.9444 prec@top5: 0.4400 loss_action_cls: 0.0274 2023/03/11 11:05:34 - mmengine - INFO - Epoch(train) [18][2320/4451] lr: 1.9568e-07 eta: 2:21:21 time: 2.2240 data_time: 1.4832 memory: 51970 grad_norm: 0.1374 loss: 0.0295 recall@thr=0.5: 0.7897 prec@thr=0.5: 0.8651 recall@top3: 0.8929 prec@top3: 0.6190 recall@top5: 1.0000 prec@top5: 0.4190 loss_action_cls: 0.0295 2023/03/11 11:05:53 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 11:06:10 - mmengine - INFO - Epoch(train) [18][2340/4451] lr: 1.9498e-07 eta: 2:21:09 time: 1.8190 data_time: 1.0706 memory: 51970 grad_norm: 0.1351 loss: 0.0267 recall@thr=0.5: 0.8246 prec@thr=0.5: 0.8421 recall@top3: 0.9298 prec@top3: 0.6140 recall@top5: 0.9474 prec@top5: 0.3789 loss_action_cls: 0.0267 2023/03/11 11:06:48 - mmengine - INFO - Epoch(train) [18][2360/4451] lr: 1.9429e-07 eta: 2:20:57 time: 1.9098 data_time: 0.9834 memory: 51970 grad_norm: 0.1357 loss: 0.0260 recall@thr=0.5: 0.8421 prec@thr=0.5: 0.9211 recall@top3: 0.9211 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4421 loss_action_cls: 0.0260 2023/03/11 11:07:22 - mmengine - INFO - Epoch(train) [18][2380/4451] lr: 1.9360e-07 eta: 2:20:44 time: 1.7174 data_time: 0.9742 memory: 51970 grad_norm: 0.1463 loss: 0.0315 recall@thr=0.5: 0.7342 prec@thr=0.5: 0.6842 recall@top3: 0.8018 prec@top3: 0.6842 recall@top5: 0.9456 prec@top5: 0.4947 loss_action_cls: 0.0315 2023/03/11 11:08:06 - mmengine - INFO - Epoch(train) [18][2400/4451] lr: 1.9291e-07 eta: 2:20:32 time: 2.1860 data_time: 1.3465 memory: 51970 grad_norm: 0.1388 loss: 0.0293 recall@thr=0.5: 0.6842 prec@thr=0.5: 0.5965 recall@top3: 0.9211 prec@top3: 0.5965 recall@top5: 0.9649 prec@top5: 0.3789 loss_action_cls: 0.0293 2023/03/11 11:08:38 - mmengine - INFO - Epoch(train) [18][2420/4451] lr: 1.9222e-07 eta: 2:20:19 time: 1.6003 data_time: 0.9721 memory: 51970 grad_norm: 0.1413 loss: 0.0274 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.7667 recall@top3: 0.8889 prec@top3: 0.6000 recall@top5: 0.9667 prec@top5: 0.4000 loss_action_cls: 0.0274 2023/03/11 11:09:25 - mmengine - INFO - Epoch(train) [18][2440/4451] lr: 1.9154e-07 eta: 2:20:08 time: 2.3351 data_time: 1.4011 memory: 51970 grad_norm: 0.1407 loss: 0.0283 recall@thr=0.5: 0.9605 prec@thr=0.5: 0.8640 recall@top3: 0.9868 prec@top3: 0.7018 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0283 2023/03/11 11:09:58 - mmengine - INFO - Epoch(train) [18][2460/4451] lr: 1.9085e-07 eta: 2:19:55 time: 1.6469 data_time: 0.9150 memory: 51970 grad_norm: 0.1416 loss: 0.0271 recall@thr=0.5: 0.8194 prec@thr=0.5: 0.9444 recall@top3: 0.8426 prec@top3: 0.7778 recall@top5: 1.0000 prec@top5: 0.5778 loss_action_cls: 0.0271 2023/03/11 11:10:44 - mmengine - INFO - Epoch(train) [18][2480/4451] lr: 1.9017e-07 eta: 2:19:44 time: 2.3258 data_time: 0.9234 memory: 51970 grad_norm: 0.1427 loss: 0.0275 recall@thr=0.5: 0.8148 prec@thr=0.5: 0.6667 recall@top3: 0.7963 prec@top3: 0.5000 recall@top5: 0.8796 prec@top5: 0.3556 loss_action_cls: 0.0275 2023/03/11 11:11:18 - mmengine - INFO - Epoch(train) [18][2500/4451] lr: 1.8948e-07 eta: 2:19:31 time: 1.6650 data_time: 0.4294 memory: 51970 grad_norm: 0.1353 loss: 0.0283 recall@thr=0.5: 0.7189 prec@thr=0.5: 0.8222 recall@top3: 0.7589 prec@top3: 0.7111 recall@top5: 0.9067 prec@top5: 0.5467 loss_action_cls: 0.0283 2023/03/11 11:12:01 - mmengine - INFO - Epoch(train) [18][2520/4451] lr: 1.8880e-07 eta: 2:19:20 time: 2.1756 data_time: 0.1071 memory: 51970 grad_norm: 0.1332 loss: 0.0293 recall@thr=0.5: 0.7051 prec@thr=0.5: 0.7885 recall@top3: 0.8429 prec@top3: 0.5128 recall@top5: 0.9199 prec@top5: 0.3538 loss_action_cls: 0.0293 2023/03/11 11:12:13 - mmengine - INFO - Epoch(train) [18][2540/4451] lr: 1.8812e-07 eta: 2:19:04 time: 0.5657 data_time: 0.0130 memory: 51970 grad_norm: 0.1355 loss: 0.0278 recall@thr=0.5: 0.7763 prec@thr=0.5: 0.7895 recall@top3: 0.9605 prec@top3: 0.6316 recall@top5: 0.9737 prec@top5: 0.3895 loss_action_cls: 0.0278 2023/03/11 11:13:07 - mmengine - INFO - Epoch(train) [18][2560/4451] lr: 1.8744e-07 eta: 2:18:54 time: 2.7122 data_time: 0.0581 memory: 51970 grad_norm: 0.1361 loss: 0.0261 recall@thr=0.5: 0.8068 prec@thr=0.5: 0.8674 recall@top3: 0.9356 prec@top3: 0.7121 recall@top5: 0.9583 prec@top5: 0.4455 loss_action_cls: 0.0261 2023/03/11 11:13:50 - mmengine - INFO - Epoch(train) [18][2580/4451] lr: 1.8676e-07 eta: 2:18:42 time: 2.1624 data_time: 0.1930 memory: 51970 grad_norm: 0.1402 loss: 0.0285 recall@thr=0.5: 0.9111 prec@thr=0.5: 0.9000 recall@top3: 1.0000 prec@top3: 0.6444 recall@top5: 1.0000 prec@top5: 0.3867 loss_action_cls: 0.0285 2023/03/11 11:14:40 - mmengine - INFO - Epoch(train) [18][2600/4451] lr: 1.8608e-07 eta: 2:18:31 time: 2.4749 data_time: 0.0853 memory: 51970 grad_norm: 0.1347 loss: 0.0290 recall@thr=0.5: 0.6600 prec@thr=0.5: 0.5733 recall@top3: 0.9067 prec@top3: 0.5067 recall@top5: 1.0000 prec@top5: 0.3520 loss_action_cls: 0.0290 2023/03/11 11:15:32 - mmengine - INFO - Epoch(train) [18][2620/4451] lr: 1.8540e-07 eta: 2:18:21 time: 2.6147 data_time: 0.2196 memory: 51970 grad_norm: 0.1367 loss: 0.0289 recall@thr=0.5: 0.6463 prec@thr=0.5: 0.8354 recall@top3: 0.7825 prec@top3: 0.6829 recall@top5: 0.9756 prec@top5: 0.5317 loss_action_cls: 0.0289 2023/03/11 11:16:31 - mmengine - INFO - Epoch(train) [18][2640/4451] lr: 1.8473e-07 eta: 2:18:11 time: 2.9394 data_time: 0.0130 memory: 51970 grad_norm: 0.1361 loss: 0.0298 recall@thr=0.5: 0.8188 prec@thr=0.5: 0.8841 recall@top3: 0.9000 prec@top3: 0.8406 recall@top5: 1.0000 prec@top5: 0.5826 loss_action_cls: 0.0298 2023/03/11 11:16:52 - mmengine - INFO - Epoch(train) [18][2660/4451] lr: 1.8405e-07 eta: 2:17:57 time: 1.0665 data_time: 0.0169 memory: 51970 grad_norm: 0.1446 loss: 0.0330 recall@thr=0.5: 0.5833 prec@thr=0.5: 0.5347 recall@top3: 0.8264 prec@top3: 0.5694 recall@top5: 0.9132 prec@top5: 0.4083 loss_action_cls: 0.0330 2023/03/11 11:17:04 - mmengine - INFO - Epoch(train) [18][2680/4451] lr: 1.8338e-07 eta: 2:17:41 time: 0.5832 data_time: 0.0131 memory: 51970 grad_norm: 0.1330 loss: 0.0262 recall@thr=0.5: 0.7947 prec@thr=0.5: 0.7456 recall@top3: 0.8702 prec@top3: 0.6842 recall@top5: 0.9123 prec@top5: 0.4526 loss_action_cls: 0.0262 2023/03/11 11:17:15 - mmengine - INFO - Epoch(train) [18][2700/4451] lr: 1.8271e-07 eta: 2:17:25 time: 0.5627 data_time: 0.0127 memory: 51970 grad_norm: 0.1430 loss: 0.0287 recall@thr=0.5: 0.6429 prec@thr=0.5: 0.7857 recall@top3: 0.8810 prec@top3: 0.5952 recall@top5: 1.0000 prec@top5: 0.4286 loss_action_cls: 0.0287 2023/03/11 11:17:26 - mmengine - INFO - Epoch(train) [18][2720/4451] lr: 1.8204e-07 eta: 2:17:09 time: 0.5696 data_time: 0.0131 memory: 51970 grad_norm: 0.1305 loss: 0.0308 recall@thr=0.5: 0.7000 prec@thr=0.5: 0.8125 recall@top3: 0.7600 prec@top3: 0.6833 recall@top5: 0.9633 prec@top5: 0.5200 loss_action_cls: 0.0308 2023/03/11 11:17:40 - mmengine - INFO - Epoch(train) [18][2740/4451] lr: 1.8137e-07 eta: 2:16:53 time: 0.6771 data_time: 0.0134 memory: 51970 grad_norm: 0.1428 loss: 0.0321 recall@thr=0.5: 0.7008 prec@thr=0.5: 0.6970 recall@top3: 0.8106 prec@top3: 0.6818 recall@top5: 0.9091 prec@top5: 0.4727 loss_action_cls: 0.0321 2023/03/11 11:17:51 - mmengine - INFO - Epoch(train) [18][2760/4451] lr: 1.8070e-07 eta: 2:16:37 time: 0.5804 data_time: 0.0125 memory: 51970 grad_norm: 0.1404 loss: 0.0333 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.7847 recall@top3: 0.8472 prec@top3: 0.6528 recall@top5: 0.9583 prec@top5: 0.4583 loss_action_cls: 0.0333 2023/03/11 11:18:04 - mmengine - INFO - Epoch(train) [18][2780/4451] lr: 1.8003e-07 eta: 2:16:21 time: 0.6290 data_time: 0.0133 memory: 51970 grad_norm: 0.1407 loss: 0.0291 recall@thr=0.5: 0.5490 prec@thr=0.5: 0.6667 recall@top3: 0.7353 prec@top3: 0.7059 recall@top5: 0.9608 prec@top5: 0.5176 loss_action_cls: 0.0291 2023/03/11 11:18:16 - mmengine - INFO - Epoch(train) [18][2800/4451] lr: 1.7937e-07 eta: 2:16:05 time: 0.6128 data_time: 0.0117 memory: 51970 grad_norm: 0.1378 loss: 0.0287 recall@thr=0.5: 0.8380 prec@thr=0.5: 0.8009 recall@top3: 0.9074 prec@top3: 0.6481 recall@top5: 0.9491 prec@top5: 0.4111 loss_action_cls: 0.0287 2023/03/11 11:18:30 - mmengine - INFO - Epoch(train) [18][2820/4451] lr: 1.7870e-07 eta: 2:15:49 time: 0.6650 data_time: 0.0133 memory: 51970 grad_norm: 0.1331 loss: 0.0308 recall@thr=0.5: 0.7639 prec@thr=0.5: 0.8306 recall@top3: 0.8278 prec@top3: 0.7111 recall@top5: 0.9917 prec@top5: 0.5200 loss_action_cls: 0.0308 2023/03/11 11:18:41 - mmengine - INFO - Epoch(train) [18][2840/4451] lr: 1.7804e-07 eta: 2:15:33 time: 0.5550 data_time: 0.0133 memory: 51970 grad_norm: 0.1341 loss: 0.0291 recall@thr=0.5: 0.6955 prec@thr=0.5: 0.7803 recall@top3: 0.8000 prec@top3: 0.6212 recall@top5: 0.8394 prec@top5: 0.4000 loss_action_cls: 0.0291 2023/03/11 11:18:53 - mmengine - INFO - Epoch(train) [18][2860/4451] lr: 1.7737e-07 eta: 2:15:17 time: 0.6312 data_time: 0.0143 memory: 51970 grad_norm: 0.1464 loss: 0.0264 recall@thr=0.5: 0.7604 prec@thr=0.5: 0.9583 recall@top3: 0.9167 prec@top3: 0.7500 recall@top5: 1.0000 prec@top5: 0.5000 loss_action_cls: 0.0264 2023/03/11 11:19:06 - mmengine - INFO - Epoch(train) [18][2880/4451] lr: 1.7671e-07 eta: 2:15:02 time: 0.6253 data_time: 0.0117 memory: 51970 grad_norm: 0.1323 loss: 0.0290 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.8478 recall@top3: 0.8406 prec@top3: 0.5942 recall@top5: 0.9493 prec@top5: 0.4261 loss_action_cls: 0.0290 2023/03/11 11:19:20 - mmengine - INFO - Epoch(train) [18][2900/4451] lr: 1.7605e-07 eta: 2:14:46 time: 0.6883 data_time: 0.0132 memory: 51970 grad_norm: 0.1384 loss: 0.0317 recall@thr=0.5: 0.7769 prec@thr=0.5: 0.7949 recall@top3: 0.8615 prec@top3: 0.6410 recall@top5: 0.9231 prec@top5: 0.4462 loss_action_cls: 0.0317 2023/03/11 11:19:31 - mmengine - INFO - Epoch(train) [18][2920/4451] lr: 1.7539e-07 eta: 2:14:30 time: 0.5937 data_time: 0.0214 memory: 51970 grad_norm: 0.1381 loss: 0.0301 recall@thr=0.5: 0.9091 prec@thr=0.5: 0.8636 recall@top3: 0.9394 prec@top3: 0.6970 recall@top5: 1.0000 prec@top5: 0.4545 loss_action_cls: 0.0301 2023/03/11 11:19:45 - mmengine - INFO - Epoch(train) [18][2940/4451] lr: 1.7473e-07 eta: 2:14:14 time: 0.6760 data_time: 0.0126 memory: 51970 grad_norm: 0.1357 loss: 0.0310 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7760 recall@top3: 0.9375 prec@top3: 0.6875 recall@top5: 1.0000 prec@top5: 0.4500 loss_action_cls: 0.0310 2023/03/11 11:19:55 - mmengine - INFO - Epoch(train) [18][2960/4451] lr: 1.7408e-07 eta: 2:13:58 time: 0.4929 data_time: 0.0128 memory: 51970 grad_norm: 0.1365 loss: 0.0289 recall@thr=0.5: 0.6705 prec@thr=0.5: 0.9091 recall@top3: 0.9394 prec@top3: 0.7273 recall@top5: 1.0000 prec@top5: 0.4818 loss_action_cls: 0.0289 2023/03/11 11:20:09 - mmengine - INFO - Epoch(train) [18][2980/4451] lr: 1.7342e-07 eta: 2:13:42 time: 0.6903 data_time: 0.0185 memory: 51970 grad_norm: 0.1395 loss: 0.0302 recall@thr=0.5: 0.6071 prec@thr=0.5: 0.7381 recall@top3: 0.8929 prec@top3: 0.6190 recall@top5: 0.9286 prec@top5: 0.4000 loss_action_cls: 0.0302 2023/03/11 11:20:20 - mmengine - INFO - Epoch(train) [18][3000/4451] lr: 1.7277e-07 eta: 2:13:26 time: 0.5705 data_time: 0.0134 memory: 51970 grad_norm: 0.1400 loss: 0.0292 recall@thr=0.5: 0.7533 prec@thr=0.5: 0.7400 recall@top3: 0.8200 prec@top3: 0.5733 recall@top5: 0.8867 prec@top5: 0.3920 loss_action_cls: 0.0292 2023/03/11 11:20:33 - mmengine - INFO - Epoch(train) [18][3020/4451] lr: 1.7211e-07 eta: 2:13:10 time: 0.6209 data_time: 0.0171 memory: 51970 grad_norm: 0.1415 loss: 0.0300 recall@thr=0.5: 0.8507 prec@thr=0.5: 0.8778 recall@top3: 0.8299 prec@top3: 0.8194 recall@top5: 0.9375 prec@top5: 0.5750 loss_action_cls: 0.0300 2023/03/11 11:20:50 - mmengine - INFO - Epoch(train) [18][3040/4451] lr: 1.7146e-07 eta: 2:12:55 time: 0.8635 data_time: 0.0124 memory: 51970 grad_norm: 0.1359 loss: 0.0263 recall@thr=0.5: 0.8506 prec@thr=0.5: 0.8638 recall@top3: 0.9626 prec@top3: 0.7241 recall@top5: 1.0000 prec@top5: 0.4621 loss_action_cls: 0.0263 2023/03/11 11:21:37 - mmengine - INFO - Epoch(train) [18][3060/4451] lr: 1.7081e-07 eta: 2:12:44 time: 2.3733 data_time: 0.0141 memory: 51970 grad_norm: 0.1426 loss: 0.0314 recall@thr=0.5: 0.6667 prec@thr=0.5: 0.5855 recall@top3: 0.9094 prec@top3: 0.5507 recall@top5: 0.9783 prec@top5: 0.3739 loss_action_cls: 0.0314 2023/03/11 11:22:07 - mmengine - INFO - Epoch(train) [18][3080/4451] lr: 1.7016e-07 eta: 2:12:30 time: 1.5019 data_time: 0.0138 memory: 51970 grad_norm: 0.1420 loss: 0.0328 recall@thr=0.5: 0.8974 prec@thr=0.5: 1.0000 recall@top3: 0.9231 prec@top3: 0.5128 recall@top5: 1.0000 prec@top5: 0.3538 loss_action_cls: 0.0328 2023/03/11 11:22:52 - mmengine - INFO - Epoch(train) [18][3100/4451] lr: 1.6951e-07 eta: 2:12:19 time: 2.2171 data_time: 0.0134 memory: 51970 grad_norm: 0.1386 loss: 0.0304 recall@thr=0.5: 0.6080 prec@thr=0.5: 0.7654 recall@top3: 0.7130 prec@top3: 0.6049 recall@top5: 0.8642 prec@top5: 0.4296 loss_action_cls: 0.0304 2023/03/11 11:23:27 - mmengine - INFO - Epoch(train) [18][3120/4451] lr: 1.6886e-07 eta: 2:12:06 time: 1.7440 data_time: 0.0136 memory: 51970 grad_norm: 0.1344 loss: 0.0293 recall@thr=0.5: 0.8100 prec@thr=0.5: 0.8375 recall@top3: 0.8517 prec@top3: 0.6500 recall@top5: 0.9217 prec@top5: 0.4400 loss_action_cls: 0.0293 2023/03/11 11:24:05 - mmengine - INFO - Epoch(train) [18][3140/4451] lr: 1.6821e-07 eta: 2:11:53 time: 1.9395 data_time: 0.0139 memory: 51970 grad_norm: 0.1393 loss: 0.0276 recall@thr=0.5: 0.7101 prec@thr=0.5: 0.8768 recall@top3: 0.8804 prec@top3: 0.7971 recall@top5: 0.9565 prec@top5: 0.5304 loss_action_cls: 0.0276 2023/03/11 11:24:36 - mmengine - INFO - Epoch(train) [18][3160/4451] lr: 1.6757e-07 eta: 2:11:40 time: 1.5398 data_time: 0.0140 memory: 51970 grad_norm: 0.1387 loss: 0.0272 recall@thr=0.5: 0.7222 prec@thr=0.5: 0.6667 recall@top3: 0.8194 prec@top3: 0.6944 recall@top5: 0.9583 prec@top5: 0.5000 loss_action_cls: 0.0272 2023/03/11 11:25:21 - mmengine - INFO - Epoch(train) [18][3180/4451] lr: 1.6693e-07 eta: 2:11:28 time: 2.2354 data_time: 0.0131 memory: 51970 grad_norm: 0.1408 loss: 0.0316 recall@thr=0.5: 0.7281 prec@thr=0.5: 0.8158 recall@top3: 0.8509 prec@top3: 0.7895 recall@top5: 0.9474 prec@top5: 0.5368 loss_action_cls: 0.0316 2023/03/11 11:25:52 - mmengine - INFO - Epoch(train) [18][3200/4451] lr: 1.6628e-07 eta: 2:11:14 time: 1.5399 data_time: 0.0147 memory: 51970 grad_norm: 0.1349 loss: 0.0293 recall@thr=0.5: 0.7333 prec@thr=0.5: 0.8333 recall@top3: 0.9000 prec@top3: 0.8222 recall@top5: 0.9556 prec@top5: 0.5333 loss_action_cls: 0.0293 2023/03/11 11:26:38 - mmengine - INFO - Epoch(train) [18][3220/4451] lr: 1.6564e-07 eta: 2:11:03 time: 2.3003 data_time: 0.0131 memory: 51970 grad_norm: 0.1372 loss: 0.0304 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7870 recall@top3: 0.7315 prec@top3: 0.7037 recall@top5: 0.8889 prec@top5: 0.5333 loss_action_cls: 0.0304 2023/03/11 11:27:08 - mmengine - INFO - Epoch(train) [18][3240/4451] lr: 1.6500e-07 eta: 2:10:49 time: 1.4940 data_time: 0.0141 memory: 51970 grad_norm: 0.1462 loss: 0.0313 recall@thr=0.5: 0.7071 prec@thr=0.5: 0.7121 recall@top3: 0.8283 prec@top3: 0.5556 recall@top5: 0.9242 prec@top5: 0.3939 loss_action_cls: 0.0313 2023/03/11 11:27:53 - mmengine - INFO - Epoch(train) [18][3260/4451] lr: 1.6436e-07 eta: 2:10:37 time: 2.2624 data_time: 0.0144 memory: 51970 grad_norm: 0.1384 loss: 0.0308 recall@thr=0.5: 0.9386 prec@thr=0.5: 0.9474 recall@top3: 0.9386 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.4000 loss_action_cls: 0.0308 2023/03/11 11:28:23 - mmengine - INFO - Epoch(train) [18][3280/4451] lr: 1.6372e-07 eta: 2:10:24 time: 1.5274 data_time: 0.0134 memory: 51970 grad_norm: 0.1369 loss: 0.0304 recall@thr=0.5: 0.5175 prec@thr=0.5: 0.5789 recall@top3: 0.8246 prec@top3: 0.4912 recall@top5: 0.9211 prec@top5: 0.3474 loss_action_cls: 0.0304 2023/03/11 11:29:04 - mmengine - INFO - Epoch(train) [18][3300/4451] lr: 1.6308e-07 eta: 2:10:11 time: 2.0465 data_time: 0.0130 memory: 51970 grad_norm: 0.1322 loss: 0.0278 recall@thr=0.5: 0.7167 prec@thr=0.5: 0.8000 recall@top3: 0.7500 prec@top3: 0.6222 recall@top5: 0.8722 prec@top5: 0.4667 loss_action_cls: 0.0278 2023/03/11 11:29:31 - mmengine - INFO - Epoch(train) [18][3320/4451] lr: 1.6245e-07 eta: 2:09:57 time: 1.3327 data_time: 0.0930 memory: 51970 grad_norm: 0.1349 loss: 0.0264 recall@thr=0.5: 0.8824 prec@thr=0.5: 0.9216 recall@top3: 0.9706 prec@top3: 0.7647 recall@top5: 0.9706 prec@top5: 0.4588 loss_action_cls: 0.0264 2023/03/11 11:29:58 - mmengine - INFO - Exp name: vit-b_16x4_20230310_151429 2023/03/11 11:30:15 - mmengine - INFO - Epoch(train) [18][3340/4451] lr: 1.6181e-07 eta: 2:09:45 time: 2.1986 data_time: 0.1916 memory: 51970 grad_norm: 0.1348 loss: 0.0278 recall@thr=0.5: 0.5616 prec@thr=0.5: 0.6739 recall@top3: 0.7138 prec@top3: 0.5652 recall@top5: 0.8623 prec@top5: 0.4000 loss_action_cls: 0.0278 2023/03/11 11:30:51 - mmengine - INFO - Epoch(train) [18][3360/4451] lr: 1.6118e-07 eta: 2:09:32 time: 1.8022 data_time: 0.0159 memory: 51970 grad_norm: 0.1371 loss: 0.0303 recall@thr=0.5: 0.8218 prec@thr=0.5: 0.7500 recall@top3: 0.8908 prec@top3: 0.7126 recall@top5: 0.9885 prec@top5: 0.4690 loss_action_cls: 0.0303 2023/03/11 11:31:30 - mmengine - INFO - Epoch(train) [18][3380/4451] lr: 1.6055e-07 eta: 2:09:20 time: 1.9412 data_time: 0.0131 memory: 51970 grad_norm: 0.1402 loss: 0.0288 recall@thr=0.5: 0.6917 prec@thr=0.5: 0.7833 recall@top3: 0.8417 prec@top3: 0.6333 recall@top5: 0.9417 prec@top5: 0.4300 loss_action_cls: 0.0288 2023/03/11 11:32:01 - mmengine - INFO - Epoch(train) [18][3400/4451] lr: 1.5992e-07 eta: 2:09:06 time: 1.5703 data_time: 0.1780 memory: 51970 grad_norm: 0.1359 loss: 0.0302 recall@thr=0.5: 0.6629 prec@thr=0.5: 0.7045 recall@top3: 0.8447 prec@top3: 0.6061 recall@top5: 0.9848 prec@top5: 0.4455 loss_action_cls: 0.0302 2023/03/11 11:32:37 - mmengine - INFO - Epoch(train) [18][3420/4451] lr: 1.5928e-07 eta: 2:08:53 time: 1.7715 data_time: 0.4263 memory: 51970 grad_norm: 0.1304 loss: 0.0268 recall@thr=0.5: 0.7130 prec@thr=0.5: 0.6944 recall@top3: 0.8556 prec@top3: 0.6790 recall@top5: 0.9432 prec@top5: 0.4667 loss_action_cls: 0.0268 2023/03/11 11:33:13 - mmengine - INFO - Epoch(train) [18][3440/4451] lr: 1.5866e-07 eta: 2:08:40 time: 1.8314 data_time: 0.7611 memory: 51970 grad_norm: 0.1392 loss: 0.0283 recall@thr=0.5: 0.8056 prec@thr=0.5: 0.8241 recall@top3: 0.9722 prec@top3: 0.6852 recall@top5: 1.0000 prec@top5: 0.4333 loss_action_cls: 0.0283 2023/03/11 11:33:49 - mmengine - INFO - Epoch(train) [18][3460/4451] lr: 1.5803e-07 eta: 2:08:27 time: 1.7800 data_time: 0.4376 memory: 51970 grad_norm: 0.1351 loss: 0.0310 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.8596 recall@top3: 0.9035 prec@top3: 0.7368 recall@top5: 1.0000 prec@top5: 0.5053 loss_action_cls: 0.0310 2023/03/11 11:34:29 - mmengine - INFO - Epoch(train) [18][3480/4451] lr: 1.5740e-07 eta: 2:08:15 time: 1.9955 data_time: 0.7244 memory: 51970 grad_norm: 0.1345 loss: 0.0322 recall@thr=0.5: 0.8889 prec@thr=0.5: 0.8444 recall@top3: 1.0000 prec@top3: 0.7556 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0322 2023/03/11 11:35:06 - mmengine - INFO - Epoch(train) [18][3500/4451] lr: 1.5678e-07 eta: 2:08:02 time: 1.8771 data_time: 0.4814 memory: 51970 grad_norm: 0.1305 loss: 0.0279 recall@thr=0.5: 0.7708 prec@thr=0.5: 0.9375 recall@top3: 0.9479 prec@top3: 0.7708 recall@top5: 0.9688 prec@top5: 0.4750 loss_action_cls: 0.0279 2023/03/11 11:35:45 - mmengine - INFO - Epoch(train) [18][3520/4451] lr: 1.5615e-07 eta: 2:07:49 time: 1.9091 data_time: 0.8049 memory: 51970 grad_norm: 0.1301 loss: 0.0302 recall@thr=0.5: 0.7214 prec@thr=0.5: 0.6643 recall@top3: 0.8548 prec@top3: 0.6190 recall@top5: 0.9619 prec@top5: 0.4229 loss_action_cls: 0.0302 2023/03/11 11:36:20 - mmengine - INFO - Epoch(train) [18][3540/4451] lr: 1.5553e-07 eta: 2:07:36 time: 1.7840 data_time: 1.0051 memory: 51970 grad_norm: 0.1421 loss: 0.0303 recall@thr=0.5: 0.7269 prec@thr=0.5: 0.7646 recall@top3: 0.7769 prec@top3: 0.7407 recall@top5: 0.9269 prec@top5: 0.5444 loss_action_cls: 0.0303 2023/03/11 11:36:54 - mmengine - INFO - Epoch(train) [18][3560/4451] lr: 1.5491e-07 eta: 2:07:22 time: 1.6669 data_time: 0.6975 memory: 51970 grad_norm: 0.1376 loss: 0.0288 recall@thr=0.5: 0.7037 prec@thr=0.5: 0.6204 recall@top3: 0.8981 prec@top3: 0.6667 recall@top5: 0.9630 prec@top5: 0.4444 loss_action_cls: 0.0288 2023/03/11 11:37:35 - mmengine - INFO - Epoch(train) [18][3580/4451] lr: 1.5429e-07 eta: 2:07:10 time: 2.0613 data_time: 0.7022 memory: 51970 grad_norm: 0.1304 loss: 0.0301 recall@thr=0.5: 0.6873 prec@thr=0.5: 0.7032 recall@top3: 0.7325 prec@top3: 0.6032 recall@top5: 0.9095 prec@top5: 0.4762 loss_action_cls: 0.0301 2023/03/11 11:38:08 - mmengine - INFO - Epoch(train) [18][3600/4451] lr: 1.5367e-07 eta: 2:06:56 time: 1.6373 data_time: 0.4258 memory: 51970 grad_norm: 0.1316 loss: 0.0259 recall@thr=0.5: 0.7451 prec@thr=0.5: 0.8235 recall@top3: 0.8824 prec@top3: 0.6275 recall@top5: 1.0000 prec@top5: 0.4235 loss_action_cls: 0.0259 2023/03/11 11:38:51 - mmengine - INFO - Epoch(train) [18][3620/4451] lr: 1.5305e-07 eta: 2:06:44 time: 2.1733 data_time: 0.6597 memory: 51970 grad_norm: 0.1352 loss: 0.0322 recall@thr=0.5: 0.7917 prec@thr=0.5: 0.8750 recall@top3: 0.8542 prec@top3: 0.7292 recall@top5: 1.0000 prec@top5: 0.5125 loss_action_cls: 0.0322 2023/03/11 11:39:21 - mmengine - INFO - Epoch(train) [18][3640/4451] lr: 1.5243e-07 eta: 2:06:30 time: 1.5090 data_time: 0.2321 memory: 51970 grad_norm: 0.1420 loss: 0.0305 recall@thr=0.5: 0.6597 prec@thr=0.5: 0.6667 recall@top3: 0.8611 prec@top3: 0.5417 recall@top5: 0.8819 prec@top5: 0.3333 loss_action_cls: 0.0305 2023/03/11 11:40:04 - mmengine - INFO - Epoch(train) [18][3660/4451] lr: 1.5181e-07 eta: 2:06:18 time: 2.1306 data_time: 0.3569 memory: 51970 grad_norm: 0.1356 loss: 0.0284 recall@thr=0.5: 0.9123 prec@thr=0.5: 0.8421 recall@top3: 0.9474 prec@top3: 0.5439 recall@top5: 1.0000 prec@top5: 0.3579 loss_action_cls: 0.0284 2023/03/11 11:40:35 - mmengine - INFO - Epoch(train) [18][3680/4451] lr: 1.5120e-07 eta: 2:06:04 time: 1.5348 data_time: 0.0411 memory: 51970 grad_norm: 0.1342 loss: 0.0283 recall@thr=0.5: 0.7487 prec@thr=0.5: 0.9231 recall@top3: 0.8122 prec@top3: 0.7564 recall@top5: 0.9365 prec@top5: 0.5538 loss_action_cls: 0.0283 2023/03/11 11:41:16 - mmengine - INFO - Epoch(train) [18][3700/4451] lr: 1.5059e-07 eta: 2:05:52 time: 2.0603 data_time: 0.1823 memory: 51970 grad_norm: 0.1406 loss: 0.0272 recall@thr=0.5: 0.8333 prec@thr=0.5: 0.7750 recall@top3: 0.9333 prec@top3: 0.5833 recall@top5: 1.0000 prec@top5: 0.3800 loss_action_cls: 0.0272 2023/03/11 11:41:48 - mmengine - INFO - Epoch(train) [18][3720/4451] lr: 1.4997e-07 eta: 2:05:38 time: 1.6181 data_time: 0.1390 memory: 51970 grad_norm: 0.1410 loss: 0.0300 recall@thr=0.5: 0.6232 prec@thr=0.5: 0.7246 recall@top3: 0.8043 prec@top3: 0.6812 recall@top5: 0.9710 prec@top5: 0.5043 loss_action_cls: 0.0300 2023/03/11 11:42:31 - mmengine - INFO - Epoch(train) [18][3740/4451] lr: 1.4936e-07 eta: 2:05:26 time: 2.1196 data_time: 0.0139 memory: 51970 grad_norm: 0.1348 loss: 0.0304 recall@thr=0.5: 0.7321 prec@thr=0.5: 0.7857 recall@top3: 0.8571 prec@top3: 0.5476 recall@top5: 0.9464 prec@top5: 0.3714 loss_action_cls: 0.0304 2023/03/11 11:43:01 - mmengine - INFO - Epoch(train) [18][3760/4451] lr: 1.4875e-07 eta: 2:05:12 time: 1.5309 data_time: 0.0131 memory: 51970 grad_norm: 0.1369 loss: 0.0289 recall@thr=0.5: 0.9352 prec@thr=0.5: 0.8426 recall@top3: 0.9815 prec@top3: 0.7222 recall@top5: 0.9815 prec@top5: 0.4333 loss_action_cls: 0.0289 2023/03/11 11:43:45 - mmengine - INFO - Epoch(train) [18][3780/4451] lr: 1.4814e-07 eta: 2:05:00 time: 2.2078 data_time: 0.0156 memory: 51970 grad_norm: 0.1294 loss: 0.0282 recall@thr=0.5: 0.7500 prec@thr=0.5: 0.7719 recall@top3: 0.8553 prec@top3: 0.7895 recall@top5: 1.0000 prec@top5: 0.5684 loss_action_cls: 0.0282 2023/03/11 11:44:16 - mmengine - INFO - Epoch(train) [18][3800/4451] lr: 1.4753e-07 eta: 2:04:46 time: 1.5313 data_time: 0.0122 memory: 51970 grad_norm: 0.1334 loss: 0.0298 recall@thr=0.5: 0.7824 prec@thr=0.5: 0.7778 recall@top3: 0.7824 prec@top3: 0.5741 recall@top5: 0.8333 prec@top5: 0.3778 loss_action_cls: 0.0298 2023/03/11 11:44:57 - mmengine - INFO - Epoch(train) [18][3820/4451] lr: 1.4693e-07 eta: 2:04:33 time: 2.0564 data_time: 0.0144 memory: 51970 grad_norm: 0.1330 loss: 0.0281 recall@thr=0.5: 0.7160 prec@thr=0.5: 0.7500 recall@top3: 0.7826 prec@top3: 0.5833 recall@top5: 0.8688 prec@top5: 0.4000 loss_action_cls: 0.0281 2023/03/11 11:45:31 - mmengine - INFO - Epoch(train) [18][3840/4451] lr: 1.4632e-07 eta: 2:04:20 time: 1.6734 data_time: 0.0126 memory: 51970 grad_norm: 0.1434 loss: 0.0292 recall@thr=0.5: 0.9035 prec@thr=0.5: 0.9561 recall@top3: 0.9561 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4316 loss_action_cls: 0.0292 2023/03/11 11:46:10 - mmengine - INFO - Epoch(train) [18][3860/4451] lr: 1.4572e-07 eta: 2:04:07 time: 1.9802 data_time: 0.0136 memory: 51970 grad_norm: 0.1399 loss: 0.0291 recall@thr=0.5: 0.8556 prec@thr=0.5: 0.8778 recall@top3: 0.9444 prec@top3: 0.7556 recall@top5: 0.9778 prec@top5: 0.4800 loss_action_cls: 0.0291 2023/03/11 11:46:48 - mmengine - INFO - Epoch(train) [18][3880/4451] lr: 1.4511e-07 eta: 2:03:54 time: 1.8943 data_time: 0.0129 memory: 51970 grad_norm: 0.1385 loss: 0.0306 recall@thr=0.5: 0.7226 prec@thr=0.5: 0.7452 recall@top3: 0.8631 prec@top3: 0.7857 recall@top5: 0.9429 prec@top5: 0.5286 loss_action_cls: 0.0306 2023/03/11 11:47:31 - mmengine - INFO - Epoch(train) [18][3900/4451] lr: 1.4451e-07 eta: 2:03:41 time: 2.1320 data_time: 0.0142 memory: 51970 grad_norm: 0.1371 loss: 0.0285 recall@thr=0.5: 0.7675 prec@thr=0.5: 0.8509 recall@top3: 0.9430 prec@top3: 0.6140 recall@top5: 0.9737 prec@top5: 0.3895 loss_action_cls: 0.0285 2023/03/11 11:48:04 - mmengine - INFO - Epoch(train) [18][3920/4451] lr: 1.4391e-07 eta: 2:03:28 time: 1.6616 data_time: 0.0131 memory: 51970 grad_norm: 0.1387 loss: 0.0279 recall@thr=0.5: 0.7292 prec@thr=0.5: 0.7208 recall@top3: 0.8292 prec@top3: 0.4833 recall@top5: 0.8667 prec@top5: 0.3100 loss_action_cls: 0.0279 2023/03/11 11:48:48 - mmengine - INFO - Epoch(train) [18][3940/4451] lr: 1.4331e-07 eta: 2:03:15 time: 2.2009 data_time: 0.0136 memory: 51970 grad_norm: 0.1381 loss: 0.0298 recall@thr=0.5: 0.7897 prec@thr=0.5: 0.8492 recall@top3: 0.7857 prec@top3: 0.7302 recall@top5: 0.9841 prec@top5: 0.5714 loss_action_cls: 0.0298 2023/03/11 11:49:19 - mmengine - INFO - Epoch(train) [18][3960/4451] lr: 1.4271e-07 eta: 2:03:01 time: 1.5460 data_time: 0.0155 memory: 51970 grad_norm: 0.1379 loss: 0.0277 recall@thr=0.5: 0.6611 prec@thr=0.5: 0.7333 recall@top3: 0.8278 prec@top3: 0.6000 recall@top5: 1.0000 prec@top5: 0.4400 loss_action_cls: 0.0277 2023/03/11 11:49:57 - mmengine - INFO - Epoch(train) [18][3980/4451] lr: 1.4212e-07 eta: 2:02:48 time: 1.9220 data_time: 0.0140 memory: 51970 grad_norm: 0.1367 loss: 0.0293 recall@thr=0.5: 0.8400 prec@thr=0.5: 0.9000 recall@top3: 0.9467 prec@top3: 0.6667 recall@top5: 1.0000 prec@top5: 0.4533 loss_action_cls: 0.0293 2023/03/11 11:50:32 - mmengine - INFO - Epoch(train) [18][4000/4451] lr: 1.4152e-07 eta: 2:02:35 time: 1.7347 data_time: 0.0130 memory: 51970 grad_norm: 0.1297 loss: 0.0290 recall@thr=0.5: 0.7700 prec@thr=0.5: 0.7667 recall@top3: 0.8513 prec@top3: 0.7067 recall@top5: 0.9767 prec@top5: 0.5200 loss_action_cls: 0.0290 2023/03/11 11:51:09 - mmengine - INFO - Epoch(train) [18][4020/4451] lr: 1.4093e-07 eta: 2:02:22 time: 1.8532 data_time: 0.0142 memory: 51970 grad_norm: 0.1382 loss: 0.0258 recall@thr=0.5: 0.7143 prec@thr=0.5: 0.6984 recall@top3: 0.8333 prec@top3: 0.4286 recall@top5: 0.9841 prec@top5: 0.3333 loss_action_cls: 0.0258 2023/03/11 11:51:47 - mmengine - INFO - Epoch(train) [18][4040/4451] lr: 1.4033e-07 eta: 2:02:08 time: 1.9051 data_time: 0.4282 memory: 51970 grad_norm: 0.1328 loss: 0.0263 recall@thr=0.5: 0.8627 prec@thr=0.5: 0.8529 recall@top3: 0.9510 prec@top3: 0.7255 recall@top5: 0.9804 prec@top5: 0.4588 loss_action_cls: 0.0263 2023/03/11 11:52:23 - mmengine - INFO - Epoch(train) [18][4060/4451] lr: 1.3974e-07 eta: 2:01:55 time: 1.7875 data_time: 0.0716 memory: 51970 grad_norm: 0.1360 loss: 0.0281 recall@thr=0.5: 0.8623 prec@thr=0.5: 0.6754 recall@top3: 0.8623 prec@top3: 0.5362 recall@top5: 0.9565 prec@top5: 0.3652 loss_action_cls: 0.0281 2023/03/11 11:53:02 - mmengine - INFO - Epoch(train) [18][4080/4451] lr: 1.3915e-07 eta: 2:01:42 time: 1.9313 data_time: 0.2747 memory: 51970 grad_norm: 0.1369 loss: 0.0286 recall@thr=0.5: 0.8246 prec@thr=0.5: 1.0000 recall@top3: 0.9298 prec@top3: 0.6316 recall@top5: 1.0000 prec@top5: 0.4211 loss_action_cls: 0.0286 2023/03/11 11:53:40 - mmengine - INFO - Epoch(train) [18][4100/4451] lr: 1.3856e-07 eta: 2:01:29 time: 1.9148 data_time: 0.2320 memory: 51970 grad_norm: 0.1360 loss: 0.0292 recall@thr=0.5: 0.6404 prec@thr=0.5: 0.6842 recall@top3: 0.6930 prec@top3: 0.4386 recall@top5: 0.9211 prec@top5: 0.3579 loss_action_cls: 0.0292 2023/03/11 11:54:17 - mmengine - INFO - Epoch(train) [18][4120/4451] lr: 1.3797e-07 eta: 2:01:16 time: 1.8603 data_time: 0.2404 memory: 51970 grad_norm: 0.1303 loss: 0.0318 recall@thr=0.5: 0.7159 prec@thr=0.5: 0.7614 recall@top3: 0.7803 prec@top3: 0.6061 recall@top5: 0.9015 prec@top5: 0.4545 loss_action_cls: 0.0318 2023/03/11 11:54:55 - mmengine - INFO - Epoch(train) [18][4140/4451] lr: 1.3738e-07 eta: 2:01:02 time: 1.9174 data_time: 0.0346 memory: 51970 grad_norm: 0.1367 loss: 0.0279 recall@thr=0.5: 0.6733 prec@thr=0.5: 0.6340 recall@top3: 0.8267 prec@top3: 0.5733 recall@top5: 0.9600 prec@top5: 0.4240 loss_action_cls: 0.0279 2023/03/11 11:55:33 - mmengine - INFO - Epoch(train) [18][4160/4451] lr: 1.3680e-07 eta: 2:00:49 time: 1.8703 data_time: 0.1635 memory: 51970 grad_norm: 0.1376 loss: 0.0262 recall@thr=0.5: 0.7105 prec@thr=0.5: 0.7456 recall@top3: 0.8947 prec@top3: 0.5965 recall@top5: 1.0000 prec@top5: 0.4105 loss_action_cls: 0.0262 2023/03/11 11:56:13 - mmengine - INFO - Epoch(train) [18][4180/4451] lr: 1.3621e-07 eta: 2:00:36 time: 2.0163 data_time: 0.0138 memory: 51970 grad_norm: 0.1398 loss: 0.0271 recall@thr=0.5: 0.7826 prec@thr=0.5: 0.8261 recall@top3: 0.9565 prec@top3: 0.4493 recall@top5: 0.9783 prec@top5: 0.2783 loss_action_cls: 0.0271 2023/03/11 11:56:49 - mmengine - INFO - Epoch(train) [18][4200/4451] lr: 1.3563e-07 eta: 2:00:23 time: 1.8094 data_time: 0.0359 memory: 51970 grad_norm: 0.1382 loss: 0.0306 recall@thr=0.5: 0.7627 prec@thr=0.5: 0.7143 recall@top3: 0.8310 prec@top3: 0.6508 recall@top5: 0.9095 prec@top5: 0.4476 loss_action_cls: 0.0306 2023/03/11 11:57:24 - mmengine - INFO - Epoch(train) [18][4220/4451] lr: 1.3504e-07 eta: 2:00:09 time: 1.7467 data_time: 0.0454 memory: 51970 grad_norm: 0.1390 loss: 0.0258 recall@thr=0.5: 0.7807 prec@thr=0.5: 0.7939 recall@top3: 0.9123 prec@top3: 0.6842 recall@top5: 1.0000 prec@top5: 0.4526 loss_action_cls: 0.0258 2023/03/11 11:57:53 - mmengine - INFO - Epoch(train) [18][4240/4451] lr: 1.3446e-07 eta: 1:59:55 time: 1.4529 data_time: 0.2110 memory: 51970 grad_norm: 0.1324 loss: 0.0304 recall@thr=0.5: 0.8269 prec@thr=0.5: 0.8526 recall@top3: 0.8846 prec@top3: 0.6795 recall@top5: 0.9423 prec@top5: 0.4538 loss_action_cls: 0.0304 2023/03/11 11:58:34 - mmengine - INFO - Epoch(train) [18][4260/4451] lr: 1.3388e-07 eta: 1:59:42 time: 2.0313 data_time: 0.0596 memory: 51970 grad_norm: 0.1361 loss: 0.0282 recall@thr=0.5: 0.7759 prec@thr=0.5: 0.7759 recall@top3: 0.8851 prec@top3: 0.6322 recall@top5: 0.9759 prec@top5: 0.4414 loss_action_cls: 0.0282 2023/03/11 11:59:18 - mmengine - INFO - Epoch(train) [18][4280/4451] lr: 1.3330e-07 eta: 1:59:29 time: 2.1929 data_time: 0.1956 memory: 51970 grad_norm: 0.1371 loss: 0.0244 recall@thr=0.5: 0.8579 prec@thr=0.5: 0.8553 recall@top3: 0.7904 prec@top3: 0.7368 recall@top5: 0.9895 prec@top5: 0.5579 loss_action_cls: 0.0244 2023/03/11 12:00:14 - mmengine - INFO - Epoch(train) [18][4300/4451] lr: 1.3272e-07 eta: 1:59:18 time: 2.8144 data_time: 0.3061 memory: 51970 grad_norm: 0.1428 loss: 0.0271 recall@thr=0.5: 0.6587 prec@thr=0.5: 0.8571 recall@top3: 0.7698 prec@top3: 0.6667 recall@top5: 0.9762 prec@top5: 0.5143 loss_action_cls: 0.0271