2022/10/13 20:19:15 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.8.13 (default, Mar 28 2022, 11:38:47) [GCC 7.5.0] CUDA available: True numpy_random_seed: 798404469 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.2, V11.2.152 GCC: gcc (GCC) 5.4.0 PyTorch: 1.10.0+cu113 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - 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 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, 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+cu113 OpenCV: 4.6.0 MMEngine: 0.1.0 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 8 ------------------------------------------------------------ 2022/10/13 20:19:16 - mmengine - INFO - Config: model = dict( type='Recognizer2D', backbone=dict( type='ResNet', pretrained='https://download.pytorch.org/models/resnet101-cd907fc2.pth', depth=101, norm_eval=False), cls_head=dict( type='TSNHead', num_classes=400, in_channels=2048, spatial_type='avg', consensus=dict(type='AvgConsensus', dim=1), dropout_ratio=0.4, init_std=0.01, average_clips=None), data_preprocessor=dict( type='ActionDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], format_shape='NCHW'), train_cfg=None, test_cfg=None) train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=100, val_begin=1, val_interval=1) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict( type='MultiStepLR', begin=0, end=100, by_epoch=True, milestones=[40, 80], gamma=0.1) ] optim_wrapper = dict( optimizer=dict(type='SGD', lr=0.01, momentum=0.9, weight_decay=0.0001), clip_grad=dict(max_norm=40, norm_type=2)) 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=3, save_best='auto', max_keep_ckpts=3), sampler_seed=dict(type='DistSamplerSeedHook')) 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 dataset_type = 'VideoDataset' data_root = 'data/kinetics400/videos_train' data_root_val = 'data/kinetics400/videos_val' ann_file_train = 'data/kinetics400/kinetics400_train_list_videos.txt' ann_file_val = 'data/kinetics400/kinetics400_val_list_videos.txt' file_client_args = dict( io_backend='petrel', path_mapping=dict( {'data/kinetics400': 's3://openmmlab/datasets/action/Kinetics400'})) train_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict( {'data/kinetics400': 's3://openmmlab/datasets/action/Kinetics400'})), dict(type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict( type='MultiScaleCrop', input_size=224, scales=(1, 0.875, 0.75, 0.66), random_crop=False, max_wh_scale_gap=1), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ] val_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict( {'data/kinetics400': 's3://openmmlab/datasets/action/Kinetics400'})), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ] test_pipeline = [ dict( type='DecordInit', io_backend='petrel', path_mapping=dict( {'data/kinetics400': 's3://openmmlab/datasets/action/Kinetics400'})), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=10, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 224)), dict(type='ThreeCrop', crop_size=224), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ] train_dataloader = dict( batch_size=32, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_train_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_train'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's3://openmmlab/datasets/action/Kinetics400' })), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict( type='MultiScaleCrop', input_size=224, scales=(1, 0.875, 0.75, 0.66), random_crop=False, max_wh_scale_gap=1), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ])) val_dataloader = dict( batch_size=32, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's3://openmmlab/datasets/action/Kinetics400' })), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=1, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ], test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=8, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='VideoDataset', ann_file='data/kinetics400/kinetics400_val_list_videos.txt', data_prefix=dict(video='data/kinetics400/videos_val'), pipeline=[ dict( type='DecordInit', io_backend='petrel', path_mapping=dict({ 'data/kinetics400': 's3://openmmlab/datasets/action/Kinetics400' })), dict( type='SampleFrames', clip_len=8, frame_interval=8, num_clips=10, test_mode=True), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 224)), dict(type='ThreeCrop', crop_size=224), dict(type='FormatShape', input_format='NCHW'), dict(type='PackActionInputs') ], test_mode=True)) val_evaluator = dict(type='AccMetric') test_evaluator = dict(type='AccMetric') auto_scale_lr = dict(enable=False, base_batch_size=256) launcher = 'slurm' work_dir = './work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb' 2022/10/13 20:19:18 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/10/13 20:19:18 - mmengine - INFO - Checkpoints will be saved to /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb. 2022/10/13 20:19:39 - mmengine - INFO - Epoch(train) [1][20/940] lr: 1.0000e-02 eta: 1 day, 2:23:41 time: 1.0111 data_time: 0.4204 memory: 31836 grad_norm: 1.1674 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9635 loss: 5.9635 2022/10/13 20:19:50 - mmengine - INFO - Epoch(train) [1][40/940] lr: 1.0000e-02 eta: 20:43:31 time: 0.5771 data_time: 0.0326 memory: 31836 grad_norm: 1.2359 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8553 loss: 5.8553 2022/10/13 20:20:01 - mmengine - INFO - Epoch(train) [1][60/940] lr: 1.0000e-02 eta: 18:36:35 time: 0.5514 data_time: 0.0285 memory: 31836 grad_norm: 1.5038 top1_acc: 0.0625 top5_acc: 0.2812 loss_cls: 5.6439 loss: 5.6439 2022/10/13 20:20:12 - mmengine - INFO - Epoch(train) [1][80/940] lr: 1.0000e-02 eta: 17:28:02 time: 0.5386 data_time: 0.0281 memory: 31836 grad_norm: 1.8655 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.3418 loss: 5.3418 2022/10/13 20:20:24 - mmengine - INFO - Epoch(train) [1][100/940] lr: 1.0000e-02 eta: 16:58:19 time: 0.5753 data_time: 0.0243 memory: 31836 grad_norm: 2.1678 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.8926 loss: 4.8926 2022/10/13 20:20:34 - mmengine - INFO - Epoch(train) [1][120/940] lr: 1.0000e-02 eta: 16:30:17 time: 0.5440 data_time: 0.0274 memory: 31836 grad_norm: 2.4332 top1_acc: 0.1562 top5_acc: 0.2812 loss_cls: 4.4235 loss: 4.4235 2022/10/13 20:20:45 - mmengine - INFO - Epoch(train) [1][140/940] lr: 1.0000e-02 eta: 16:10:52 time: 0.5470 data_time: 0.0357 memory: 31836 grad_norm: 2.6195 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 4.1813 loss: 4.1813 2022/10/13 20:20:56 - mmengine - INFO - Epoch(train) [1][160/940] lr: 1.0000e-02 eta: 15:56:28 time: 0.5480 data_time: 0.0225 memory: 31836 grad_norm: 2.7404 top1_acc: 0.1875 top5_acc: 0.4062 loss_cls: 3.9507 loss: 3.9507 2022/10/13 20:21:07 - mmengine - INFO - Epoch(train) [1][180/940] lr: 1.0000e-02 eta: 15:44:14 time: 0.5424 data_time: 0.0288 memory: 31836 grad_norm: 2.8604 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.7394 loss: 3.7394 2022/10/13 20:21:18 - mmengine - INFO - Epoch(train) [1][200/940] lr: 1.0000e-02 eta: 15:35:36 time: 0.5500 data_time: 0.0308 memory: 31836 grad_norm: 2.9338 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.7184 loss: 3.7184 2022/10/13 20:21:29 - mmengine - INFO - Epoch(train) [1][220/940] lr: 1.0000e-02 eta: 15:28:16 time: 0.5482 data_time: 0.0332 memory: 31836 grad_norm: 3.0230 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5591 loss: 3.5591 2022/10/13 20:21:40 - mmengine - INFO - Epoch(train) [1][240/940] lr: 1.0000e-02 eta: 15:21:30 time: 0.5434 data_time: 0.0331 memory: 31836 grad_norm: 3.0473 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.5306 loss: 3.5306 2022/10/13 20:21:51 - mmengine - INFO - Epoch(train) [1][260/940] lr: 1.0000e-02 eta: 15:15:27 time: 0.5411 data_time: 0.0343 memory: 31836 grad_norm: 3.0638 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 3.3233 loss: 3.3233 2022/10/13 20:22:02 - mmengine - INFO - Epoch(train) [1][280/940] lr: 1.0000e-02 eta: 15:09:54 time: 0.5379 data_time: 0.0287 memory: 31836 grad_norm: 3.0901 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 3.1525 loss: 3.1525 2022/10/13 20:22:13 - mmengine - INFO - Epoch(train) [1][300/940] lr: 1.0000e-02 eta: 15:06:07 time: 0.5481 data_time: 0.0315 memory: 31836 grad_norm: 3.1382 top1_acc: 0.1250 top5_acc: 0.5312 loss_cls: 3.0868 loss: 3.0868 2022/10/13 20:22:23 - mmengine - INFO - Epoch(train) [1][320/940] lr: 1.0000e-02 eta: 15:02:24 time: 0.5440 data_time: 0.0235 memory: 31836 grad_norm: 3.1223 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 3.0202 loss: 3.0202 2022/10/13 20:22:34 - mmengine - INFO - Epoch(train) [1][340/940] lr: 1.0000e-02 eta: 14:58:51 time: 0.5415 data_time: 0.0269 memory: 31836 grad_norm: 3.1998 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.1634 loss: 3.1634 2022/10/13 20:22:45 - mmengine - INFO - Epoch(train) [1][360/940] lr: 1.0000e-02 eta: 14:55:55 time: 0.5441 data_time: 0.0245 memory: 31836 grad_norm: 3.1880 top1_acc: 0.2188 top5_acc: 0.5625 loss_cls: 2.9011 loss: 2.9011 2022/10/13 20:22:56 - mmengine - INFO - Epoch(train) [1][380/940] lr: 1.0000e-02 eta: 14:52:47 time: 0.5383 data_time: 0.0259 memory: 31836 grad_norm: 3.1784 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.9988 loss: 2.9988 2022/10/13 20:23:07 - mmengine - INFO - Epoch(train) [1][400/940] lr: 1.0000e-02 eta: 14:50:28 time: 0.5450 data_time: 0.0280 memory: 31836 grad_norm: 3.2015 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.8199 loss: 2.8199 2022/10/13 20:23:18 - mmengine - INFO - Epoch(train) [1][420/940] lr: 1.0000e-02 eta: 14:48:22 time: 0.5451 data_time: 0.0302 memory: 31836 grad_norm: 3.2254 top1_acc: 0.2188 top5_acc: 0.5625 loss_cls: 2.8838 loss: 2.8838 2022/10/13 20:23:29 - mmengine - INFO - Epoch(train) [1][440/940] lr: 1.0000e-02 eta: 14:46:14 time: 0.5420 data_time: 0.0296 memory: 31836 grad_norm: 3.2135 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.8869 loss: 2.8869 2022/10/13 20:23:39 - mmengine - INFO - Epoch(train) [1][460/940] lr: 1.0000e-02 eta: 14:44:38 time: 0.5476 data_time: 0.0294 memory: 31836 grad_norm: 3.2378 top1_acc: 0.2188 top5_acc: 0.5312 loss_cls: 2.7557 loss: 2.7557 2022/10/13 20:23:50 - mmengine - INFO - Epoch(train) [1][480/940] lr: 1.0000e-02 eta: 14:42:25 time: 0.5362 data_time: 0.0287 memory: 31836 grad_norm: 3.2708 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.8597 loss: 2.8597 2022/10/13 20:24:01 - mmengine - INFO - Epoch(train) [1][500/940] lr: 1.0000e-02 eta: 14:40:33 time: 0.5394 data_time: 0.0296 memory: 31836 grad_norm: 3.2507 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8181 loss: 2.8181 2022/10/13 20:24:12 - mmengine - INFO - Epoch(train) [1][520/940] lr: 1.0000e-02 eta: 14:38:59 time: 0.5418 data_time: 0.0276 memory: 31836 grad_norm: 3.2360 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.7755 loss: 2.7755 2022/10/13 20:24:23 - mmengine - INFO - Epoch(train) [1][540/940] lr: 1.0000e-02 eta: 14:38:01 time: 0.5509 data_time: 0.0249 memory: 31836 grad_norm: 3.2273 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.7093 loss: 2.7093 2022/10/13 20:24:34 - mmengine - INFO - Epoch(train) [1][560/940] lr: 1.0000e-02 eta: 14:36:35 time: 0.5413 data_time: 0.0261 memory: 31836 grad_norm: 3.2636 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9276 loss: 2.9276 2022/10/13 20:24:45 - mmengine - INFO - Epoch(train) [1][580/940] lr: 1.0000e-02 eta: 14:35:22 time: 0.5437 data_time: 0.0243 memory: 31836 grad_norm: 3.2822 top1_acc: 0.2500 top5_acc: 0.6562 loss_cls: 2.8271 loss: 2.8271 2022/10/13 20:24:55 - mmengine - INFO - Epoch(train) [1][600/940] lr: 1.0000e-02 eta: 14:34:15 time: 0.5442 data_time: 0.0355 memory: 31836 grad_norm: 3.2617 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.6948 loss: 2.6948 2022/10/13 20:25:06 - mmengine - INFO - Epoch(train) [1][620/940] lr: 1.0000e-02 eta: 14:32:48 time: 0.5364 data_time: 0.0233 memory: 31836 grad_norm: 3.3114 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.7480 loss: 2.7480 2022/10/13 20:25:17 - mmengine - INFO - Epoch(train) [1][640/940] lr: 1.0000e-02 eta: 14:31:38 time: 0.5407 data_time: 0.0276 memory: 31836 grad_norm: 3.3139 top1_acc: 0.2188 top5_acc: 0.5312 loss_cls: 2.8043 loss: 2.8043 2022/10/13 20:25:28 - mmengine - INFO - Epoch(train) [1][660/940] lr: 1.0000e-02 eta: 14:30:41 time: 0.5440 data_time: 0.0269 memory: 31836 grad_norm: 3.2981 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.6830 loss: 2.6830 2022/10/13 20:25:39 - mmengine - INFO - Epoch(train) [1][680/940] lr: 1.0000e-02 eta: 14:29:40 time: 0.5416 data_time: 0.0285 memory: 31836 grad_norm: 3.2973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6659 loss: 2.6659 2022/10/13 20:25:50 - mmengine - INFO - Epoch(train) [1][700/940] lr: 1.0000e-02 eta: 14:29:09 time: 0.5519 data_time: 0.0226 memory: 31836 grad_norm: 3.3193 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.8247 loss: 2.8247 2022/10/13 20:26:01 - mmengine - INFO - Epoch(train) [1][720/940] lr: 1.0000e-02 eta: 14:28:30 time: 0.5481 data_time: 0.0278 memory: 31836 grad_norm: 3.2989 top1_acc: 0.4688 top5_acc: 0.5938 loss_cls: 2.6156 loss: 2.6156 2022/10/13 20:26:12 - mmengine - INFO - Epoch(train) [1][740/940] lr: 1.0000e-02 eta: 14:27:43 time: 0.5443 data_time: 0.0292 memory: 31836 grad_norm: 3.3172 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.6794 loss: 2.6794 2022/10/13 20:26:22 - mmengine - INFO - Epoch(train) [1][760/940] lr: 1.0000e-02 eta: 14:26:46 time: 0.5395 data_time: 0.0263 memory: 31836 grad_norm: 3.3124 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.6232 loss: 2.6232 2022/10/13 20:26:33 - mmengine - INFO - Epoch(train) [1][780/940] lr: 1.0000e-02 eta: 14:26:05 time: 0.5453 data_time: 0.0231 memory: 31836 grad_norm: 3.2836 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.7123 loss: 2.7123 2022/10/13 20:26:44 - mmengine - INFO - Epoch(train) [1][800/940] lr: 1.0000e-02 eta: 14:25:44 time: 0.5534 data_time: 0.0243 memory: 31836 grad_norm: 3.2955 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5190 loss: 2.5190 2022/10/13 20:26:55 - mmengine - INFO - Epoch(train) [1][820/940] lr: 1.0000e-02 eta: 14:25:06 time: 0.5454 data_time: 0.0241 memory: 31836 grad_norm: 3.3116 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.6756 loss: 2.6756 2022/10/13 20:27:06 - mmengine - INFO - Epoch(train) [1][840/940] lr: 1.0000e-02 eta: 14:24:37 time: 0.5492 data_time: 0.0274 memory: 31836 grad_norm: 3.2949 top1_acc: 0.3750 top5_acc: 0.5312 loss_cls: 2.7056 loss: 2.7056 2022/10/13 20:27:17 - mmengine - INFO - Epoch(train) [1][860/940] lr: 1.0000e-02 eta: 14:23:53 time: 0.5417 data_time: 0.0314 memory: 31836 grad_norm: 3.3705 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6490 loss: 2.6490 2022/10/13 20:27:28 - mmengine - INFO - Epoch(train) [1][880/940] lr: 1.0000e-02 eta: 14:23:24 time: 0.5480 data_time: 0.0252 memory: 31836 grad_norm: 3.3117 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.5830 loss: 2.5830 2022/10/13 20:27:39 - mmengine - INFO - Epoch(train) [1][900/940] lr: 1.0000e-02 eta: 14:22:41 time: 0.5410 data_time: 0.0283 memory: 31836 grad_norm: 3.3362 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6015 loss: 2.6015 2022/10/13 20:27:50 - mmengine - INFO - Epoch(train) [1][920/940] lr: 1.0000e-02 eta: 14:22:03 time: 0.5428 data_time: 0.0326 memory: 31836 grad_norm: 3.3477 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.3769 loss: 2.3769 2022/10/13 20:28:00 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:28:00 - mmengine - INFO - Epoch(train) [1][940/940] lr: 1.0000e-02 eta: 14:20:44 time: 0.5211 data_time: 0.0255 memory: 31836 grad_norm: 3.5067 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.7215 loss: 2.7215 2022/10/13 20:28:17 - mmengine - INFO - Epoch(val) [1][20/78] eta: 0:00:50 time: 0.8621 data_time: 0.7123 memory: 3561 2022/10/13 20:28:27 - mmengine - INFO - Epoch(val) [1][40/78] eta: 0:00:17 time: 0.4663 data_time: 0.3153 memory: 3561 2022/10/13 20:28:39 - mmengine - INFO - Epoch(val) [1][60/78] eta: 0:00:10 time: 0.6064 data_time: 0.4567 memory: 3561 2022/10/13 20:28:49 - mmengine - INFO - Epoch(val) [1][78/78] acc/top1: 0.5103 acc/top5: 0.7745 acc/mean1: 0.5100 2022/10/13 20:28:49 - mmengine - INFO - The best checkpoint with 0.5103 acc/top1 at 1 epoch is saved to best_acc/top1_epoch_1.pth. 2022/10/13 20:29:04 - mmengine - INFO - Epoch(train) [2][20/940] lr: 1.0000e-02 eta: 14:26:13 time: 0.7306 data_time: 0.1785 memory: 31836 grad_norm: 3.3261 top1_acc: 0.1875 top5_acc: 0.5938 loss_cls: 2.4659 loss: 2.4659 2022/10/13 20:29:15 - mmengine - INFO - Epoch(train) [2][40/940] lr: 1.0000e-02 eta: 14:26:02 time: 0.5589 data_time: 0.0242 memory: 31836 grad_norm: 3.3355 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.4913 loss: 2.4913 2022/10/13 20:29:26 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:29:26 - mmengine - INFO - Epoch(train) [2][60/940] lr: 1.0000e-02 eta: 14:25:31 time: 0.5475 data_time: 0.0316 memory: 31836 grad_norm: 3.3395 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.3531 loss: 2.3531 2022/10/13 20:29:37 - mmengine - INFO - Epoch(train) [2][80/940] lr: 1.0000e-02 eta: 14:24:51 time: 0.5427 data_time: 0.0290 memory: 31836 grad_norm: 3.3672 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.4224 loss: 2.4224 2022/10/13 20:29:48 - mmengine - INFO - Epoch(train) [2][100/940] lr: 1.0000e-02 eta: 14:24:26 time: 0.5504 data_time: 0.0331 memory: 31836 grad_norm: 3.3382 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.4386 loss: 2.4386 2022/10/13 20:29:59 - mmengine - INFO - Epoch(train) [2][120/940] lr: 1.0000e-02 eta: 14:24:02 time: 0.5510 data_time: 0.0272 memory: 31836 grad_norm: 3.3422 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.4636 loss: 2.4636 2022/10/13 20:30:10 - mmengine - INFO - Epoch(train) [2][140/940] lr: 1.0000e-02 eta: 14:23:21 time: 0.5402 data_time: 0.0231 memory: 31836 grad_norm: 3.3967 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.5466 loss: 2.5466 2022/10/13 20:30:21 - mmengine - INFO - Epoch(train) [2][160/940] lr: 1.0000e-02 eta: 14:22:50 time: 0.5458 data_time: 0.0328 memory: 31836 grad_norm: 3.3566 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4200 loss: 2.4200 2022/10/13 20:30:32 - mmengine - INFO - Epoch(train) [2][180/940] lr: 1.0000e-02 eta: 14:22:15 time: 0.5430 data_time: 0.0260 memory: 31836 grad_norm: 3.4092 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3706 loss: 2.3706 2022/10/13 20:30:42 - mmengine - INFO - Epoch(train) [2][200/940] lr: 1.0000e-02 eta: 14:21:28 time: 0.5348 data_time: 0.0225 memory: 31836 grad_norm: 3.3436 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5419 loss: 2.5419 2022/10/13 20:30:53 - mmengine - INFO - Epoch(train) [2][220/940] lr: 1.0000e-02 eta: 14:21:08 time: 0.5512 data_time: 0.0280 memory: 31836 grad_norm: 3.3938 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.4960 loss: 2.4960 2022/10/13 20:31:04 - mmengine - INFO - Epoch(train) [2][240/940] lr: 1.0000e-02 eta: 14:20:49 time: 0.5515 data_time: 0.0296 memory: 31836 grad_norm: 3.3256 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5424 loss: 2.5424 2022/10/13 20:31:15 - mmengine - INFO - Epoch(train) [2][260/940] lr: 1.0000e-02 eta: 14:20:24 time: 0.5471 data_time: 0.0234 memory: 31836 grad_norm: 3.4131 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4356 loss: 2.4356 2022/10/13 20:31:26 - mmengine - INFO - Epoch(train) [2][280/940] lr: 1.0000e-02 eta: 14:19:42 time: 0.5365 data_time: 0.0298 memory: 31836 grad_norm: 3.3914 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.5799 loss: 2.5799 2022/10/13 20:31:37 - mmengine - INFO - Epoch(train) [2][300/940] lr: 1.0000e-02 eta: 14:19:13 time: 0.5436 data_time: 0.0299 memory: 31836 grad_norm: 3.4184 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.5368 loss: 2.5368 2022/10/13 20:31:48 - mmengine - INFO - Epoch(train) [2][320/940] lr: 1.0000e-02 eta: 14:18:43 time: 0.5429 data_time: 0.0282 memory: 31836 grad_norm: 3.3861 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.4966 loss: 2.4966 2022/10/13 20:31:59 - mmengine - INFO - Epoch(train) [2][340/940] lr: 1.0000e-02 eta: 14:18:10 time: 0.5407 data_time: 0.0235 memory: 31836 grad_norm: 3.4407 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.3533 loss: 2.3533 2022/10/13 20:32:09 - mmengine - INFO - Epoch(train) [2][360/940] lr: 1.0000e-02 eta: 14:17:39 time: 0.5413 data_time: 0.0275 memory: 31836 grad_norm: 3.4619 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.3208 loss: 2.3208 2022/10/13 20:32:20 - mmengine - INFO - Epoch(train) [2][380/940] lr: 1.0000e-02 eta: 14:17:07 time: 0.5405 data_time: 0.0248 memory: 31836 grad_norm: 3.3535 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3931 loss: 2.3931 2022/10/13 20:32:31 - mmengine - INFO - Epoch(train) [2][400/940] lr: 1.0000e-02 eta: 14:16:45 time: 0.5468 data_time: 0.0249 memory: 31836 grad_norm: 3.4174 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.5265 loss: 2.5265 2022/10/13 20:32:42 - mmengine - INFO - Epoch(train) [2][420/940] lr: 1.0000e-02 eta: 14:16:24 time: 0.5471 data_time: 0.0246 memory: 31836 grad_norm: 3.4409 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.3831 loss: 2.3831 2022/10/13 20:32:53 - mmengine - INFO - Epoch(train) [2][440/940] lr: 1.0000e-02 eta: 14:16:02 time: 0.5472 data_time: 0.0246 memory: 31836 grad_norm: 3.4107 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.3693 loss: 2.3693 2022/10/13 20:33:04 - mmengine - INFO - Epoch(train) [2][460/940] lr: 1.0000e-02 eta: 14:15:36 time: 0.5431 data_time: 0.0261 memory: 31836 grad_norm: 3.3754 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5119 loss: 2.5119 2022/10/13 20:33:15 - mmengine - INFO - Epoch(train) [2][480/940] lr: 1.0000e-02 eta: 14:15:19 time: 0.5496 data_time: 0.0230 memory: 31836 grad_norm: 3.3788 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3663 loss: 2.3663 2022/10/13 20:33:26 - mmengine - INFO - Epoch(train) [2][500/940] lr: 1.0000e-02 eta: 14:14:42 time: 0.5345 data_time: 0.0256 memory: 31836 grad_norm: 3.3416 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.4786 loss: 2.4786 2022/10/13 20:33:37 - mmengine - INFO - Epoch(train) [2][520/940] lr: 1.0000e-02 eta: 14:14:21 time: 0.5462 data_time: 0.0261 memory: 31836 grad_norm: 3.3726 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.4686 loss: 2.4686 2022/10/13 20:33:48 - mmengine - INFO - Epoch(train) [2][540/940] lr: 1.0000e-02 eta: 14:14:06 time: 0.5505 data_time: 0.0364 memory: 31836 grad_norm: 3.3664 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.2851 loss: 2.2851 2022/10/13 20:33:59 - mmengine - INFO - Epoch(train) [2][560/940] lr: 1.0000e-02 eta: 14:13:59 time: 0.5571 data_time: 0.0308 memory: 31836 grad_norm: 3.3536 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.1683 loss: 2.1683 2022/10/13 20:34:10 - mmengine - INFO - Epoch(train) [2][580/940] lr: 1.0000e-02 eta: 14:13:43 time: 0.5503 data_time: 0.0243 memory: 31836 grad_norm: 3.3647 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3941 loss: 2.3941 2022/10/13 20:34:21 - mmengine - INFO - Epoch(train) [2][600/940] lr: 1.0000e-02 eta: 14:13:23 time: 0.5460 data_time: 0.0240 memory: 31836 grad_norm: 3.3806 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2744 loss: 2.2744 2022/10/13 20:34:32 - mmengine - INFO - Epoch(train) [2][620/940] lr: 1.0000e-02 eta: 14:13:02 time: 0.5454 data_time: 0.0323 memory: 31836 grad_norm: 3.4116 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.3801 loss: 2.3801 2022/10/13 20:34:42 - mmengine - INFO - Epoch(train) [2][640/940] lr: 1.0000e-02 eta: 14:12:39 time: 0.5437 data_time: 0.0220 memory: 31836 grad_norm: 3.3839 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.2912 loss: 2.2912 2022/10/13 20:34:53 - mmengine - INFO - Epoch(train) [2][660/940] lr: 1.0000e-02 eta: 14:12:13 time: 0.5411 data_time: 0.0257 memory: 31836 grad_norm: 3.3843 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2936 loss: 2.2936 2022/10/13 20:35:04 - mmengine - INFO - Epoch(train) [2][680/940] lr: 1.0000e-02 eta: 14:11:53 time: 0.5451 data_time: 0.0289 memory: 31836 grad_norm: 3.4556 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.4518 loss: 2.4518 2022/10/13 20:35:15 - mmengine - INFO - Epoch(train) [2][700/940] lr: 1.0000e-02 eta: 14:11:38 time: 0.5497 data_time: 0.0257 memory: 31836 grad_norm: 3.3981 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.3440 loss: 2.3440 2022/10/13 20:35:26 - mmengine - INFO - Epoch(train) [2][720/940] lr: 1.0000e-02 eta: 14:11:18 time: 0.5455 data_time: 0.0216 memory: 31836 grad_norm: 3.4453 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3883 loss: 2.3883 2022/10/13 20:35:37 - mmengine - INFO - Epoch(train) [2][740/940] lr: 1.0000e-02 eta: 14:11:04 time: 0.5508 data_time: 0.0260 memory: 31836 grad_norm: 3.4737 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.3650 loss: 2.3650 2022/10/13 20:35:48 - mmengine - INFO - Epoch(train) [2][760/940] lr: 1.0000e-02 eta: 14:10:46 time: 0.5461 data_time: 0.0302 memory: 31836 grad_norm: 3.4013 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3548 loss: 2.3548 2022/10/13 20:35:59 - mmengine - INFO - Epoch(train) [2][780/940] lr: 1.0000e-02 eta: 14:10:23 time: 0.5420 data_time: 0.0311 memory: 31836 grad_norm: 3.4491 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4275 loss: 2.4275 2022/10/13 20:36:10 - mmengine - INFO - Epoch(train) [2][800/940] lr: 1.0000e-02 eta: 14:09:59 time: 0.5407 data_time: 0.0303 memory: 31836 grad_norm: 3.4339 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3298 loss: 2.3298 2022/10/13 20:36:21 - mmengine - INFO - Epoch(train) [2][820/940] lr: 1.0000e-02 eta: 14:09:39 time: 0.5448 data_time: 0.0252 memory: 31836 grad_norm: 3.4971 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.3247 loss: 2.3247 2022/10/13 20:36:31 - mmengine - INFO - Epoch(train) [2][840/940] lr: 1.0000e-02 eta: 14:09:16 time: 0.5407 data_time: 0.0323 memory: 31836 grad_norm: 3.4322 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.3135 loss: 2.3135 2022/10/13 20:36:42 - mmengine - INFO - Epoch(train) [2][860/940] lr: 1.0000e-02 eta: 14:08:53 time: 0.5414 data_time: 0.0335 memory: 31836 grad_norm: 3.4801 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.3735 loss: 2.3735 2022/10/13 20:36:53 - mmengine - INFO - Epoch(train) [2][880/940] lr: 1.0000e-02 eta: 14:08:26 time: 0.5363 data_time: 0.0246 memory: 31836 grad_norm: 3.4542 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.2010 loss: 2.2010 2022/10/13 20:37:04 - mmengine - INFO - Epoch(train) [2][900/940] lr: 1.0000e-02 eta: 14:07:59 time: 0.5367 data_time: 0.0273 memory: 31836 grad_norm: 3.4664 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1879 loss: 2.1879 2022/10/13 20:37:14 - mmengine - INFO - Epoch(train) [2][920/940] lr: 1.0000e-02 eta: 14:07:37 time: 0.5403 data_time: 0.0348 memory: 31836 grad_norm: 3.4325 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.3584 loss: 2.3584 2022/10/13 20:37:25 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:37:25 - mmengine - INFO - Epoch(train) [2][940/940] lr: 1.0000e-02 eta: 14:06:42 time: 0.5077 data_time: 0.0212 memory: 31836 grad_norm: 3.5922 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.3336 loss: 2.3336 2022/10/13 20:37:37 - mmengine - INFO - Epoch(val) [2][20/78] eta: 0:00:35 time: 0.6126 data_time: 0.4600 memory: 3561 2022/10/13 20:37:46 - mmengine - INFO - Epoch(val) [2][40/78] eta: 0:00:17 time: 0.4578 data_time: 0.3096 memory: 3561 2022/10/13 20:37:57 - mmengine - INFO - Epoch(val) [2][60/78] eta: 0:00:10 time: 0.5657 data_time: 0.4176 memory: 3561 2022/10/13 20:38:08 - mmengine - INFO - Epoch(val) [2][78/78] acc/top1: 0.5567 acc/top5: 0.8008 acc/mean1: 0.5564 2022/10/13 20:38:08 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_1.pth is removed 2022/10/13 20:38:09 - mmengine - INFO - The best checkpoint with 0.5567 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/10/13 20:38:24 - mmengine - INFO - Epoch(train) [3][20/940] lr: 1.0000e-02 eta: 14:09:46 time: 0.7522 data_time: 0.2329 memory: 31836 grad_norm: 3.3627 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0867 loss: 2.0867 2022/10/13 20:38:35 - mmengine - INFO - Epoch(train) [3][40/940] lr: 1.0000e-02 eta: 14:09:56 time: 0.5758 data_time: 0.0247 memory: 31836 grad_norm: 3.4261 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 2.1588 loss: 2.1588 2022/10/13 20:38:46 - mmengine - INFO - Epoch(train) [3][60/940] lr: 1.0000e-02 eta: 14:09:47 time: 0.5558 data_time: 0.0313 memory: 31836 grad_norm: 3.4076 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1661 loss: 2.1661 2022/10/13 20:38:57 - mmengine - INFO - Epoch(train) [3][80/940] lr: 1.0000e-02 eta: 14:09:27 time: 0.5440 data_time: 0.0287 memory: 31836 grad_norm: 3.4525 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1413 loss: 2.1413 2022/10/13 20:39:08 - mmengine - INFO - Epoch(train) [3][100/940] lr: 1.0000e-02 eta: 14:09:08 time: 0.5454 data_time: 0.0283 memory: 31836 grad_norm: 3.4516 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1841 loss: 2.1841 2022/10/13 20:39:19 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:39:19 - mmengine - INFO - Epoch(train) [3][120/940] lr: 1.0000e-02 eta: 14:08:46 time: 0.5418 data_time: 0.0248 memory: 31836 grad_norm: 3.4475 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.2771 loss: 2.2771 2022/10/13 20:39:30 - mmengine - INFO - Epoch(train) [3][140/940] lr: 1.0000e-02 eta: 14:08:30 time: 0.5480 data_time: 0.0304 memory: 31836 grad_norm: 3.4085 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.3149 loss: 2.3149 2022/10/13 20:39:41 - mmengine - INFO - Epoch(train) [3][160/940] lr: 1.0000e-02 eta: 14:08:06 time: 0.5392 data_time: 0.0238 memory: 31836 grad_norm: 3.3415 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1415 loss: 2.1415 2022/10/13 20:39:52 - mmengine - INFO - Epoch(train) [3][180/940] lr: 1.0000e-02 eta: 14:07:46 time: 0.5435 data_time: 0.0299 memory: 31836 grad_norm: 3.4359 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.3089 loss: 2.3089 2022/10/13 20:40:02 - mmengine - INFO - Epoch(train) [3][200/940] lr: 1.0000e-02 eta: 14:07:21 time: 0.5376 data_time: 0.0232 memory: 31836 grad_norm: 3.4068 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1355 loss: 2.1355 2022/10/13 20:40:13 - mmengine - INFO - Epoch(train) [3][220/940] lr: 1.0000e-02 eta: 14:07:04 time: 0.5462 data_time: 0.0288 memory: 31836 grad_norm: 3.4738 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.3365 loss: 2.3365 2022/10/13 20:40:24 - mmengine - INFO - Epoch(train) [3][240/940] lr: 1.0000e-02 eta: 14:06:45 time: 0.5444 data_time: 0.0248 memory: 31836 grad_norm: 3.4379 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1122 loss: 2.1122 2022/10/13 20:40:35 - mmengine - INFO - Epoch(train) [3][260/940] lr: 1.0000e-02 eta: 14:06:25 time: 0.5420 data_time: 0.0272 memory: 31836 grad_norm: 3.4974 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2067 loss: 2.2067 2022/10/13 20:40:46 - mmengine - INFO - Epoch(train) [3][280/940] lr: 1.0000e-02 eta: 14:06:07 time: 0.5454 data_time: 0.0233 memory: 31836 grad_norm: 3.4764 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2440 loss: 2.2440 2022/10/13 20:40:57 - mmengine - INFO - Epoch(train) [3][300/940] lr: 1.0000e-02 eta: 14:05:43 time: 0.5367 data_time: 0.0261 memory: 31836 grad_norm: 3.4535 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1425 loss: 2.1425 2022/10/13 20:41:08 - mmengine - INFO - Epoch(train) [3][320/940] lr: 1.0000e-02 eta: 14:05:29 time: 0.5495 data_time: 0.0271 memory: 31836 grad_norm: 3.4659 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2046 loss: 2.2046 2022/10/13 20:41:19 - mmengine - INFO - Epoch(train) [3][340/940] lr: 1.0000e-02 eta: 14:05:16 time: 0.5498 data_time: 0.0307 memory: 31836 grad_norm: 3.4226 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1234 loss: 2.1234 2022/10/13 20:41:30 - mmengine - INFO - Epoch(train) [3][360/940] lr: 1.0000e-02 eta: 14:04:57 time: 0.5428 data_time: 0.0229 memory: 31836 grad_norm: 3.4132 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1305 loss: 2.1305 2022/10/13 20:41:40 - mmengine - INFO - Epoch(train) [3][380/940] lr: 1.0000e-02 eta: 14:04:41 time: 0.5471 data_time: 0.0245 memory: 31836 grad_norm: 3.4512 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1336 loss: 2.1336 2022/10/13 20:41:51 - mmengine - INFO - Epoch(train) [3][400/940] lr: 1.0000e-02 eta: 14:04:22 time: 0.5421 data_time: 0.0227 memory: 31836 grad_norm: 3.4704 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.2200 loss: 2.2200 2022/10/13 20:42:02 - mmengine - INFO - Epoch(train) [3][420/940] lr: 1.0000e-02 eta: 14:03:58 time: 0.5366 data_time: 0.0227 memory: 31836 grad_norm: 3.4755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1932 loss: 2.1932 2022/10/13 20:42:13 - mmengine - INFO - Epoch(train) [3][440/940] lr: 1.0000e-02 eta: 14:03:38 time: 0.5406 data_time: 0.0331 memory: 31836 grad_norm: 3.5020 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.2935 loss: 2.2935 2022/10/13 20:42:24 - mmengine - INFO - Epoch(train) [3][460/940] lr: 1.0000e-02 eta: 14:03:19 time: 0.5420 data_time: 0.0231 memory: 31836 grad_norm: 3.4849 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3090 loss: 2.3090 2022/10/13 20:42:35 - mmengine - INFO - Epoch(train) [3][480/940] lr: 1.0000e-02 eta: 14:03:01 time: 0.5429 data_time: 0.0347 memory: 31836 grad_norm: 3.4556 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2187 loss: 2.2187 2022/10/13 20:42:45 - mmengine - INFO - Epoch(train) [3][500/940] lr: 1.0000e-02 eta: 14:02:37 time: 0.5356 data_time: 0.0281 memory: 31836 grad_norm: 3.4535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3296 loss: 2.3296 2022/10/13 20:42:56 - mmengine - INFO - Epoch(train) [3][520/940] lr: 1.0000e-02 eta: 14:02:13 time: 0.5350 data_time: 0.0304 memory: 31836 grad_norm: 3.4767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0877 loss: 2.0877 2022/10/13 20:43:07 - mmengine - INFO - Epoch(train) [3][540/940] lr: 1.0000e-02 eta: 14:02:00 time: 0.5484 data_time: 0.0313 memory: 31836 grad_norm: 3.4560 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.2016 loss: 2.2016 2022/10/13 20:43:18 - mmengine - INFO - Epoch(train) [3][560/940] lr: 1.0000e-02 eta: 14:01:46 time: 0.5480 data_time: 0.0259 memory: 31836 grad_norm: 3.5081 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1864 loss: 2.1864 2022/10/13 20:43:29 - mmengine - INFO - Epoch(train) [3][580/940] lr: 1.0000e-02 eta: 14:01:25 time: 0.5377 data_time: 0.0271 memory: 31836 grad_norm: 3.4519 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0811 loss: 2.0811 2022/10/13 20:43:40 - mmengine - INFO - Epoch(train) [3][600/940] lr: 1.0000e-02 eta: 14:01:11 time: 0.5477 data_time: 0.0285 memory: 31836 grad_norm: 3.5233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2437 loss: 2.2437 2022/10/13 20:43:50 - mmengine - INFO - Epoch(train) [3][620/940] lr: 1.0000e-02 eta: 14:00:52 time: 0.5403 data_time: 0.0303 memory: 31836 grad_norm: 3.4217 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.2164 loss: 2.2164 2022/10/13 20:44:01 - mmengine - INFO - Epoch(train) [3][640/940] lr: 1.0000e-02 eta: 14:00:40 time: 0.5500 data_time: 0.0245 memory: 31836 grad_norm: 3.4660 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2187 loss: 2.2187 2022/10/13 20:44:12 - mmengine - INFO - Epoch(train) [3][660/940] lr: 1.0000e-02 eta: 14:00:27 time: 0.5488 data_time: 0.0312 memory: 31836 grad_norm: 3.4726 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.1734 loss: 2.1734 2022/10/13 20:44:23 - mmengine - INFO - Epoch(train) [3][680/940] lr: 1.0000e-02 eta: 14:00:05 time: 0.5365 data_time: 0.0267 memory: 31836 grad_norm: 3.4216 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1444 loss: 2.1444 2022/10/13 20:44:34 - mmengine - INFO - Epoch(train) [3][700/940] lr: 1.0000e-02 eta: 13:59:48 time: 0.5433 data_time: 0.0309 memory: 31836 grad_norm: 3.4726 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1040 loss: 2.1040 2022/10/13 20:44:45 - mmengine - INFO - Epoch(train) [3][720/940] lr: 1.0000e-02 eta: 13:59:34 time: 0.5466 data_time: 0.0276 memory: 31836 grad_norm: 3.4937 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1709 loss: 2.1709 2022/10/13 20:44:56 - mmengine - INFO - Epoch(train) [3][740/940] lr: 1.0000e-02 eta: 13:59:20 time: 0.5459 data_time: 0.0302 memory: 31836 grad_norm: 3.5034 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.2410 loss: 2.2410 2022/10/13 20:45:07 - mmengine - INFO - Epoch(train) [3][760/940] lr: 1.0000e-02 eta: 13:59:00 time: 0.5384 data_time: 0.0238 memory: 31836 grad_norm: 3.4697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1611 loss: 2.1611 2022/10/13 20:45:17 - mmengine - INFO - Epoch(train) [3][780/940] lr: 1.0000e-02 eta: 13:58:44 time: 0.5439 data_time: 0.0281 memory: 31836 grad_norm: 3.4160 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0896 loss: 2.0896 2022/10/13 20:45:28 - mmengine - INFO - Epoch(train) [3][800/940] lr: 1.0000e-02 eta: 13:58:29 time: 0.5459 data_time: 0.0370 memory: 31836 grad_norm: 3.5091 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0723 loss: 2.0723 2022/10/13 20:45:39 - mmengine - INFO - Epoch(train) [3][820/940] lr: 1.0000e-02 eta: 13:58:13 time: 0.5432 data_time: 0.0276 memory: 31836 grad_norm: 3.4674 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2391 loss: 2.2391 2022/10/13 20:45:50 - mmengine - INFO - Epoch(train) [3][840/940] lr: 1.0000e-02 eta: 13:57:59 time: 0.5455 data_time: 0.0272 memory: 31836 grad_norm: 3.4814 top1_acc: 0.4062 top5_acc: 0.9062 loss_cls: 2.0132 loss: 2.0132 2022/10/13 20:46:01 - mmengine - INFO - Epoch(train) [3][860/940] lr: 1.0000e-02 eta: 13:57:40 time: 0.5388 data_time: 0.0279 memory: 31836 grad_norm: 3.4406 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1770 loss: 2.1770 2022/10/13 20:46:12 - mmengine - INFO - Epoch(train) [3][880/940] lr: 1.0000e-02 eta: 13:57:23 time: 0.5425 data_time: 0.0256 memory: 31836 grad_norm: 3.4154 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1520 loss: 2.1520 2022/10/13 20:46:23 - mmengine - INFO - Epoch(train) [3][900/940] lr: 1.0000e-02 eta: 13:57:07 time: 0.5430 data_time: 0.0294 memory: 31836 grad_norm: 3.5091 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1452 loss: 2.1452 2022/10/13 20:46:33 - mmengine - INFO - Epoch(train) [3][920/940] lr: 1.0000e-02 eta: 13:56:45 time: 0.5331 data_time: 0.0284 memory: 31836 grad_norm: 3.4679 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1125 loss: 2.1125 2022/10/13 20:46:43 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:46:43 - mmengine - INFO - Epoch(train) [3][940/940] lr: 1.0000e-02 eta: 13:56:06 time: 0.5075 data_time: 0.0218 memory: 31836 grad_norm: 3.6688 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.2375 loss: 2.2375 2022/10/13 20:46:43 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/10/13 20:46:57 - mmengine - INFO - Epoch(val) [3][20/78] eta: 0:00:35 time: 0.6093 data_time: 0.4612 memory: 3561 2022/10/13 20:47:06 - mmengine - INFO - Epoch(val) [3][40/78] eta: 0:00:16 time: 0.4470 data_time: 0.2989 memory: 3561 2022/10/13 20:47:17 - mmengine - INFO - Epoch(val) [3][60/78] eta: 0:00:09 time: 0.5498 data_time: 0.4015 memory: 3561 2022/10/13 20:47:34 - mmengine - INFO - Epoch(val) [3][78/78] acc/top1: 0.5893 acc/top5: 0.8241 acc/mean1: 0.5893 2022/10/13 20:47:34 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_2.pth is removed 2022/10/13 20:47:35 - mmengine - INFO - The best checkpoint with 0.5893 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/10/13 20:47:49 - mmengine - INFO - Epoch(train) [4][20/940] lr: 1.0000e-02 eta: 13:57:42 time: 0.7171 data_time: 0.1897 memory: 31836 grad_norm: 3.3783 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1715 loss: 2.1715 2022/10/13 20:48:00 - mmengine - INFO - Epoch(train) [4][40/940] lr: 1.0000e-02 eta: 13:57:31 time: 0.5513 data_time: 0.0314 memory: 31836 grad_norm: 3.4258 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0698 loss: 2.0698 2022/10/13 20:48:11 - mmengine - INFO - Epoch(train) [4][60/940] lr: 1.0000e-02 eta: 13:57:15 time: 0.5443 data_time: 0.0289 memory: 31836 grad_norm: 3.4005 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1060 loss: 2.1060 2022/10/13 20:48:22 - mmengine - INFO - Epoch(train) [4][80/940] lr: 1.0000e-02 eta: 13:57:04 time: 0.5504 data_time: 0.0283 memory: 31836 grad_norm: 3.4311 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.1822 loss: 2.1822 2022/10/13 20:48:33 - mmengine - INFO - Epoch(train) [4][100/940] lr: 1.0000e-02 eta: 13:56:49 time: 0.5453 data_time: 0.0323 memory: 31836 grad_norm: 3.5139 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 2.1407 loss: 2.1407 2022/10/13 20:48:44 - mmengine - INFO - Epoch(train) [4][120/940] lr: 1.0000e-02 eta: 13:56:43 time: 0.5600 data_time: 0.0322 memory: 31836 grad_norm: 3.4669 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1528 loss: 2.1528 2022/10/13 20:48:55 - mmengine - INFO - Epoch(train) [4][140/940] lr: 1.0000e-02 eta: 13:56:35 time: 0.5553 data_time: 0.0248 memory: 31836 grad_norm: 3.4762 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1356 loss: 2.1356 2022/10/13 20:49:06 - mmengine - INFO - Epoch(train) [4][160/940] lr: 1.0000e-02 eta: 13:56:17 time: 0.5410 data_time: 0.0258 memory: 31836 grad_norm: 3.5214 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1276 loss: 2.1276 2022/10/13 20:49:17 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:49:17 - mmengine - INFO - Epoch(train) [4][180/940] lr: 1.0000e-02 eta: 13:56:12 time: 0.5597 data_time: 0.0420 memory: 31836 grad_norm: 3.4514 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.0004 loss: 2.0004 2022/10/13 20:49:28 - mmengine - INFO - Epoch(train) [4][200/940] lr: 1.0000e-02 eta: 13:55:52 time: 0.5373 data_time: 0.0260 memory: 31836 grad_norm: 3.5611 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0170 loss: 2.0170 2022/10/13 20:49:39 - mmengine - INFO - Epoch(train) [4][220/940] lr: 1.0000e-02 eta: 13:55:34 time: 0.5396 data_time: 0.0254 memory: 31836 grad_norm: 3.5369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1838 loss: 2.1838 2022/10/13 20:49:51 - mmengine - INFO - Epoch(train) [4][240/940] lr: 1.0000e-02 eta: 13:55:44 time: 0.5859 data_time: 0.0273 memory: 31836 grad_norm: 3.5154 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9869 loss: 1.9869 2022/10/13 20:50:02 - mmengine - INFO - Epoch(train) [4][260/940] lr: 1.0000e-02 eta: 13:55:38 time: 0.5601 data_time: 0.0257 memory: 31836 grad_norm: 3.4967 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.2109 loss: 2.2109 2022/10/13 20:50:13 - mmengine - INFO - Epoch(train) [4][280/940] lr: 1.0000e-02 eta: 13:55:30 time: 0.5570 data_time: 0.0404 memory: 31836 grad_norm: 3.4562 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0852 loss: 2.0852 2022/10/13 20:50:24 - mmengine - INFO - Epoch(train) [4][300/940] lr: 1.0000e-02 eta: 13:55:22 time: 0.5564 data_time: 0.0298 memory: 31836 grad_norm: 3.4088 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0618 loss: 2.0618 2022/10/13 20:50:35 - mmengine - INFO - Epoch(train) [4][320/940] lr: 1.0000e-02 eta: 13:55:09 time: 0.5489 data_time: 0.0255 memory: 31836 grad_norm: 3.4946 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1315 loss: 2.1315 2022/10/13 20:50:46 - mmengine - INFO - Epoch(train) [4][340/940] lr: 1.0000e-02 eta: 13:54:58 time: 0.5513 data_time: 0.0282 memory: 31836 grad_norm: 3.4653 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0532 loss: 2.0532 2022/10/13 20:50:57 - mmengine - INFO - Epoch(train) [4][360/940] lr: 1.0000e-02 eta: 13:54:47 time: 0.5518 data_time: 0.0308 memory: 31836 grad_norm: 3.5117 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.2809 loss: 2.2809 2022/10/13 20:51:08 - mmengine - INFO - Epoch(train) [4][380/940] lr: 1.0000e-02 eta: 13:54:45 time: 0.5664 data_time: 0.0291 memory: 31836 grad_norm: 3.4725 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9110 loss: 1.9110 2022/10/13 20:51:19 - mmengine - INFO - Epoch(train) [4][400/940] lr: 1.0000e-02 eta: 13:54:26 time: 0.5381 data_time: 0.0253 memory: 31836 grad_norm: 3.5509 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1740 loss: 2.1740 2022/10/13 20:51:30 - mmengine - INFO - Epoch(train) [4][420/940] lr: 1.0000e-02 eta: 13:54:16 time: 0.5531 data_time: 0.0350 memory: 31836 grad_norm: 3.5096 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/10/13 20:51:41 - mmengine - INFO - Epoch(train) [4][440/940] lr: 1.0000e-02 eta: 13:54:03 time: 0.5487 data_time: 0.0236 memory: 31836 grad_norm: 3.5370 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.0309 loss: 2.0309 2022/10/13 20:51:52 - mmengine - INFO - Epoch(train) [4][460/940] lr: 1.0000e-02 eta: 13:53:44 time: 0.5375 data_time: 0.0286 memory: 31836 grad_norm: 3.4902 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0908 loss: 2.0908 2022/10/13 20:52:03 - mmengine - INFO - Epoch(train) [4][480/940] lr: 1.0000e-02 eta: 13:53:28 time: 0.5412 data_time: 0.0243 memory: 31836 grad_norm: 3.4993 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1563 loss: 2.1563 2022/10/13 20:52:14 - mmengine - INFO - Epoch(train) [4][500/940] lr: 1.0000e-02 eta: 13:53:11 time: 0.5415 data_time: 0.0315 memory: 31836 grad_norm: 3.4590 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9798 loss: 1.9798 2022/10/13 20:52:25 - mmengine - INFO - Epoch(train) [4][520/940] lr: 1.0000e-02 eta: 13:52:56 time: 0.5425 data_time: 0.0330 memory: 31836 grad_norm: 3.4711 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0893 loss: 2.0893 2022/10/13 20:52:35 - mmengine - INFO - Epoch(train) [4][540/940] lr: 1.0000e-02 eta: 13:52:41 time: 0.5454 data_time: 0.0307 memory: 31836 grad_norm: 3.5378 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0530 loss: 2.0530 2022/10/13 20:52:46 - mmengine - INFO - Epoch(train) [4][560/940] lr: 1.0000e-02 eta: 13:52:24 time: 0.5389 data_time: 0.0274 memory: 31836 grad_norm: 3.5254 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1135 loss: 2.1135 2022/10/13 20:52:57 - mmengine - INFO - Epoch(train) [4][580/940] lr: 1.0000e-02 eta: 13:52:07 time: 0.5395 data_time: 0.0251 memory: 31836 grad_norm: 3.4950 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0302 loss: 2.0302 2022/10/13 20:53:08 - mmengine - INFO - Epoch(train) [4][600/940] lr: 1.0000e-02 eta: 13:51:51 time: 0.5430 data_time: 0.0295 memory: 31836 grad_norm: 3.5698 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0271 loss: 2.0271 2022/10/13 20:53:19 - mmengine - INFO - Epoch(train) [4][620/940] lr: 1.0000e-02 eta: 13:51:37 time: 0.5458 data_time: 0.0245 memory: 31836 grad_norm: 3.5635 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0785 loss: 2.0785 2022/10/13 20:53:30 - mmengine - INFO - Epoch(train) [4][640/940] lr: 1.0000e-02 eta: 13:51:25 time: 0.5484 data_time: 0.0371 memory: 31836 grad_norm: 3.5056 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2041 loss: 2.2041 2022/10/13 20:53:41 - mmengine - INFO - Epoch(train) [4][660/940] lr: 1.0000e-02 eta: 13:51:17 time: 0.5571 data_time: 0.0404 memory: 31836 grad_norm: 3.5119 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.0754 loss: 2.0754 2022/10/13 20:53:52 - mmengine - INFO - Epoch(train) [4][680/940] lr: 1.0000e-02 eta: 13:51:01 time: 0.5410 data_time: 0.0261 memory: 31836 grad_norm: 3.5356 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.1713 loss: 2.1713 2022/10/13 20:54:03 - mmengine - INFO - Epoch(train) [4][700/940] lr: 1.0000e-02 eta: 13:50:46 time: 0.5435 data_time: 0.0286 memory: 31836 grad_norm: 3.5255 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 2.0398 loss: 2.0398 2022/10/13 20:54:13 - mmengine - INFO - Epoch(train) [4][720/940] lr: 1.0000e-02 eta: 13:50:32 time: 0.5446 data_time: 0.0300 memory: 31836 grad_norm: 3.5340 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1310 loss: 2.1310 2022/10/13 20:54:24 - mmengine - INFO - Epoch(train) [4][740/940] lr: 1.0000e-02 eta: 13:50:19 time: 0.5476 data_time: 0.0298 memory: 31836 grad_norm: 3.5715 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0722 loss: 2.0722 2022/10/13 20:54:35 - mmengine - INFO - Epoch(train) [4][760/940] lr: 1.0000e-02 eta: 13:50:07 time: 0.5478 data_time: 0.0251 memory: 31836 grad_norm: 3.5568 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0413 loss: 2.0413 2022/10/13 20:54:46 - mmengine - INFO - Epoch(train) [4][780/940] lr: 1.0000e-02 eta: 13:49:49 time: 0.5371 data_time: 0.0299 memory: 31836 grad_norm: 3.5270 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1773 loss: 2.1773 2022/10/13 20:54:57 - mmengine - INFO - Epoch(train) [4][800/940] lr: 1.0000e-02 eta: 13:49:34 time: 0.5423 data_time: 0.0300 memory: 31836 grad_norm: 3.5547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0418 loss: 2.0418 2022/10/13 20:55:08 - mmengine - INFO - Epoch(train) [4][820/940] lr: 1.0000e-02 eta: 13:49:19 time: 0.5429 data_time: 0.0249 memory: 31836 grad_norm: 3.5895 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0363 loss: 2.0363 2022/10/13 20:55:19 - mmengine - INFO - Epoch(train) [4][840/940] lr: 1.0000e-02 eta: 13:49:03 time: 0.5416 data_time: 0.0278 memory: 31836 grad_norm: 3.5950 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9672 loss: 1.9672 2022/10/13 20:55:29 - mmengine - INFO - Epoch(train) [4][860/940] lr: 1.0000e-02 eta: 13:48:47 time: 0.5394 data_time: 0.0297 memory: 31836 grad_norm: 3.5277 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.0333 loss: 2.0333 2022/10/13 20:55:40 - mmengine - INFO - Epoch(train) [4][880/940] lr: 1.0000e-02 eta: 13:48:30 time: 0.5383 data_time: 0.0305 memory: 31836 grad_norm: 3.5405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0047 loss: 2.0047 2022/10/13 20:55:51 - mmengine - INFO - Epoch(train) [4][900/940] lr: 1.0000e-02 eta: 13:48:22 time: 0.5566 data_time: 0.0354 memory: 31836 grad_norm: 3.5808 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0445 loss: 2.0445 2022/10/13 20:56:02 - mmengine - INFO - Epoch(train) [4][920/940] lr: 1.0000e-02 eta: 13:48:08 time: 0.5455 data_time: 0.0250 memory: 31836 grad_norm: 3.5389 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2414 loss: 2.2414 2022/10/13 20:56:12 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:56:12 - mmengine - INFO - Epoch(train) [4][940/940] lr: 1.0000e-02 eta: 13:47:38 time: 0.5095 data_time: 0.0236 memory: 31836 grad_norm: 3.7062 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0726 loss: 2.0726 2022/10/13 20:56:25 - mmengine - INFO - Epoch(val) [4][20/78] eta: 0:00:36 time: 0.6330 data_time: 0.4824 memory: 3561 2022/10/13 20:56:34 - mmengine - INFO - Epoch(val) [4][40/78] eta: 0:00:17 time: 0.4566 data_time: 0.3077 memory: 3561 2022/10/13 20:56:46 - mmengine - INFO - Epoch(val) [4][60/78] eta: 0:00:10 time: 0.5680 data_time: 0.4185 memory: 3561 2022/10/13 20:56:57 - mmengine - INFO - Epoch(val) [4][78/78] acc/top1: 0.5988 acc/top5: 0.8355 acc/mean1: 0.5987 2022/10/13 20:56:57 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_3.pth is removed 2022/10/13 20:56:58 - mmengine - INFO - The best checkpoint with 0.5988 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/10/13 20:57:13 - mmengine - INFO - Epoch(train) [5][20/940] lr: 1.0000e-02 eta: 13:49:00 time: 0.7455 data_time: 0.2169 memory: 31836 grad_norm: 3.5480 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9860 loss: 1.9860 2022/10/13 20:57:24 - mmengine - INFO - Epoch(train) [5][40/940] lr: 1.0000e-02 eta: 13:48:50 time: 0.5546 data_time: 0.0265 memory: 31836 grad_norm: 3.5026 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9198 loss: 1.9198 2022/10/13 20:57:35 - mmengine - INFO - Epoch(train) [5][60/940] lr: 1.0000e-02 eta: 13:48:44 time: 0.5607 data_time: 0.0310 memory: 31836 grad_norm: 3.5404 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/10/13 20:57:46 - mmengine - INFO - Epoch(train) [5][80/940] lr: 1.0000e-02 eta: 13:48:29 time: 0.5446 data_time: 0.0263 memory: 31836 grad_norm: 3.5216 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9919 loss: 1.9919 2022/10/13 20:57:57 - mmengine - INFO - Epoch(train) [5][100/940] lr: 1.0000e-02 eta: 13:48:20 time: 0.5553 data_time: 0.0317 memory: 31836 grad_norm: 3.6303 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0863 loss: 2.0863 2022/10/13 20:58:08 - mmengine - INFO - Epoch(train) [5][120/940] lr: 1.0000e-02 eta: 13:48:09 time: 0.5507 data_time: 0.0318 memory: 31836 grad_norm: 3.5163 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.9231 loss: 1.9231 2022/10/13 20:58:19 - mmengine - INFO - Epoch(train) [5][140/940] lr: 1.0000e-02 eta: 13:48:02 time: 0.5604 data_time: 0.0369 memory: 31836 grad_norm: 3.5033 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0005 loss: 2.0005 2022/10/13 20:58:30 - mmengine - INFO - Epoch(train) [5][160/940] lr: 1.0000e-02 eta: 13:47:51 time: 0.5519 data_time: 0.0322 memory: 31836 grad_norm: 3.5280 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1381 loss: 2.1381 2022/10/13 20:58:41 - mmengine - INFO - Epoch(train) [5][180/940] lr: 1.0000e-02 eta: 13:47:40 time: 0.5516 data_time: 0.0256 memory: 31836 grad_norm: 3.5461 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0171 loss: 2.0171 2022/10/13 20:58:52 - mmengine - INFO - Epoch(train) [5][200/940] lr: 1.0000e-02 eta: 13:47:26 time: 0.5453 data_time: 0.0268 memory: 31836 grad_norm: 3.5443 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9976 loss: 1.9976 2022/10/13 20:59:03 - mmengine - INFO - Epoch(train) [5][220/940] lr: 1.0000e-02 eta: 13:47:16 time: 0.5529 data_time: 0.0310 memory: 31836 grad_norm: 3.5571 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1119 loss: 2.1119 2022/10/13 20:59:14 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 20:59:14 - mmengine - INFO - Epoch(train) [5][240/940] lr: 1.0000e-02 eta: 13:47:06 time: 0.5527 data_time: 0.0268 memory: 31836 grad_norm: 3.6204 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0082 loss: 2.0082 2022/10/13 20:59:25 - mmengine - INFO - Epoch(train) [5][260/940] lr: 1.0000e-02 eta: 13:46:53 time: 0.5484 data_time: 0.0281 memory: 31836 grad_norm: 3.6649 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.9803 loss: 1.9803 2022/10/13 20:59:36 - mmengine - INFO - Epoch(train) [5][280/940] lr: 1.0000e-02 eta: 13:46:43 time: 0.5527 data_time: 0.0274 memory: 31836 grad_norm: 3.4869 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0592 loss: 2.0592 2022/10/13 20:59:48 - mmengine - INFO - Epoch(train) [5][300/940] lr: 1.0000e-02 eta: 13:46:34 time: 0.5558 data_time: 0.0291 memory: 31836 grad_norm: 3.5325 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.9621 loss: 1.9621 2022/10/13 20:59:58 - mmengine - INFO - Epoch(train) [5][320/940] lr: 1.0000e-02 eta: 13:46:21 time: 0.5475 data_time: 0.0263 memory: 31836 grad_norm: 3.5269 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.9492 loss: 1.9492 2022/10/13 21:00:09 - mmengine - INFO - Epoch(train) [5][340/940] lr: 1.0000e-02 eta: 13:46:07 time: 0.5447 data_time: 0.0263 memory: 31836 grad_norm: 3.5269 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0307 loss: 2.0307 2022/10/13 21:00:20 - mmengine - INFO - Epoch(train) [5][360/940] lr: 1.0000e-02 eta: 13:45:52 time: 0.5411 data_time: 0.0291 memory: 31836 grad_norm: 3.5755 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0733 loss: 2.0733 2022/10/13 21:00:32 - mmengine - INFO - Epoch(train) [5][380/940] lr: 1.0000e-02 eta: 13:45:51 time: 0.5757 data_time: 0.0283 memory: 31836 grad_norm: 3.6068 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.8952 loss: 1.8952 2022/10/13 21:00:43 - mmengine - INFO - Epoch(train) [5][400/940] lr: 1.0000e-02 eta: 13:45:40 time: 0.5510 data_time: 0.0286 memory: 31836 grad_norm: 3.5532 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8422 loss: 1.8422 2022/10/13 21:00:54 - mmengine - INFO - Epoch(train) [5][420/940] lr: 1.0000e-02 eta: 13:45:24 time: 0.5401 data_time: 0.0338 memory: 31836 grad_norm: 3.5768 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9665 loss: 1.9665 2022/10/13 21:01:04 - mmengine - INFO - Epoch(train) [5][440/940] lr: 1.0000e-02 eta: 13:45:10 time: 0.5439 data_time: 0.0249 memory: 31836 grad_norm: 3.5628 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1184 loss: 2.1184 2022/10/13 21:01:15 - mmengine - INFO - Epoch(train) [5][460/940] lr: 1.0000e-02 eta: 13:44:59 time: 0.5526 data_time: 0.0318 memory: 31836 grad_norm: 3.6496 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0608 loss: 2.0608 2022/10/13 21:01:26 - mmengine - INFO - Epoch(train) [5][480/940] lr: 1.0000e-02 eta: 13:44:44 time: 0.5422 data_time: 0.0246 memory: 31836 grad_norm: 3.5760 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.0013 loss: 2.0013 2022/10/13 21:01:37 - mmengine - INFO - Epoch(train) [5][500/940] lr: 1.0000e-02 eta: 13:44:35 time: 0.5542 data_time: 0.0248 memory: 31836 grad_norm: 3.4919 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9318 loss: 1.9318 2022/10/13 21:01:48 - mmengine - INFO - Epoch(train) [5][520/940] lr: 1.0000e-02 eta: 13:44:21 time: 0.5450 data_time: 0.0246 memory: 31836 grad_norm: 3.5920 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.9237 loss: 1.9237 2022/10/13 21:01:59 - mmengine - INFO - Epoch(train) [5][540/940] lr: 1.0000e-02 eta: 13:44:08 time: 0.5473 data_time: 0.0267 memory: 31836 grad_norm: 3.5827 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2002 loss: 2.2002 2022/10/13 21:02:10 - mmengine - INFO - Epoch(train) [5][560/940] lr: 1.0000e-02 eta: 13:43:55 time: 0.5463 data_time: 0.0351 memory: 31836 grad_norm: 3.5206 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0082 loss: 2.0082 2022/10/13 21:02:21 - mmengine - INFO - Epoch(train) [5][580/940] lr: 1.0000e-02 eta: 13:43:40 time: 0.5409 data_time: 0.0267 memory: 31836 grad_norm: 3.5734 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9579 loss: 1.9579 2022/10/13 21:02:32 - mmengine - INFO - Epoch(train) [5][600/940] lr: 1.0000e-02 eta: 13:43:24 time: 0.5401 data_time: 0.0299 memory: 31836 grad_norm: 3.6280 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8814 loss: 1.8814 2022/10/13 21:02:43 - mmengine - INFO - Epoch(train) [5][620/940] lr: 1.0000e-02 eta: 13:43:12 time: 0.5474 data_time: 0.0304 memory: 31836 grad_norm: 3.5322 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9792 loss: 1.9792 2022/10/13 21:02:54 - mmengine - INFO - Epoch(train) [5][640/940] lr: 1.0000e-02 eta: 13:42:58 time: 0.5440 data_time: 0.0265 memory: 31836 grad_norm: 3.5812 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.8326 loss: 1.8326 2022/10/13 21:03:05 - mmengine - INFO - Epoch(train) [5][660/940] lr: 1.0000e-02 eta: 13:42:45 time: 0.5476 data_time: 0.0309 memory: 31836 grad_norm: 3.5877 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9322 loss: 1.9322 2022/10/13 21:03:15 - mmengine - INFO - Epoch(train) [5][680/940] lr: 1.0000e-02 eta: 13:42:31 time: 0.5436 data_time: 0.0286 memory: 31836 grad_norm: 3.5549 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0484 loss: 2.0484 2022/10/13 21:03:26 - mmengine - INFO - Epoch(train) [5][700/940] lr: 1.0000e-02 eta: 13:42:18 time: 0.5445 data_time: 0.0255 memory: 31836 grad_norm: 3.6162 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9387 loss: 1.9387 2022/10/13 21:03:37 - mmengine - INFO - Epoch(train) [5][720/940] lr: 1.0000e-02 eta: 13:42:02 time: 0.5382 data_time: 0.0262 memory: 31836 grad_norm: 3.6928 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0212 loss: 2.0212 2022/10/13 21:03:48 - mmengine - INFO - Epoch(train) [5][740/940] lr: 1.0000e-02 eta: 13:41:48 time: 0.5438 data_time: 0.0302 memory: 31836 grad_norm: 3.5681 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.9460 loss: 1.9460 2022/10/13 21:03:59 - mmengine - INFO - Epoch(train) [5][760/940] lr: 1.0000e-02 eta: 13:41:37 time: 0.5509 data_time: 0.0245 memory: 31836 grad_norm: 3.5945 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 1.9803 loss: 1.9803 2022/10/13 21:04:10 - mmengine - INFO - Epoch(train) [5][780/940] lr: 1.0000e-02 eta: 13:41:25 time: 0.5492 data_time: 0.0317 memory: 31836 grad_norm: 3.6968 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9155 loss: 1.9155 2022/10/13 21:04:21 - mmengine - INFO - Epoch(train) [5][800/940] lr: 1.0000e-02 eta: 13:41:12 time: 0.5471 data_time: 0.0238 memory: 31836 grad_norm: 3.6330 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.9913 loss: 1.9913 2022/10/13 21:04:32 - mmengine - INFO - Epoch(train) [5][820/940] lr: 1.0000e-02 eta: 13:40:58 time: 0.5416 data_time: 0.0297 memory: 31836 grad_norm: 3.5815 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.0399 loss: 2.0399 2022/10/13 21:04:43 - mmengine - INFO - Epoch(train) [5][840/940] lr: 1.0000e-02 eta: 13:40:44 time: 0.5433 data_time: 0.0274 memory: 31836 grad_norm: 3.5410 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9215 loss: 1.9215 2022/10/13 21:04:53 - mmengine - INFO - Epoch(train) [5][860/940] lr: 1.0000e-02 eta: 13:40:29 time: 0.5407 data_time: 0.0323 memory: 31836 grad_norm: 3.5838 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9121 loss: 1.9121 2022/10/13 21:05:04 - mmengine - INFO - Epoch(train) [5][880/940] lr: 1.0000e-02 eta: 13:40:19 time: 0.5526 data_time: 0.0310 memory: 31836 grad_norm: 3.5812 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.0508 loss: 2.0508 2022/10/13 21:05:15 - mmengine - INFO - Epoch(train) [5][900/940] lr: 1.0000e-02 eta: 13:40:03 time: 0.5399 data_time: 0.0258 memory: 31836 grad_norm: 3.5854 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0755 loss: 2.0755 2022/10/13 21:05:26 - mmengine - INFO - Epoch(train) [5][920/940] lr: 1.0000e-02 eta: 13:39:50 time: 0.5438 data_time: 0.0314 memory: 31836 grad_norm: 3.5401 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.8996 loss: 1.8996 2022/10/13 21:05:36 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:05:36 - mmengine - INFO - Epoch(train) [5][940/940] lr: 1.0000e-02 eta: 13:39:26 time: 0.5174 data_time: 0.0258 memory: 31836 grad_norm: 3.7344 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.0817 loss: 2.0817 2022/10/13 21:05:50 - mmengine - INFO - Epoch(val) [5][20/78] eta: 0:00:37 time: 0.6524 data_time: 0.5000 memory: 3561 2022/10/13 21:05:59 - mmengine - INFO - Epoch(val) [5][40/78] eta: 0:00:17 time: 0.4501 data_time: 0.3036 memory: 3561 2022/10/13 21:06:10 - mmengine - INFO - Epoch(val) [5][60/78] eta: 0:00:09 time: 0.5531 data_time: 0.4036 memory: 3561 2022/10/13 21:06:21 - mmengine - INFO - Epoch(val) [5][78/78] acc/top1: 0.6121 acc/top5: 0.8399 acc/mean1: 0.6119 2022/10/13 21:06:21 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_4.pth is removed 2022/10/13 21:06:22 - mmengine - INFO - The best checkpoint with 0.6121 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/10/13 21:06:37 - mmengine - INFO - Epoch(train) [6][20/940] lr: 1.0000e-02 eta: 13:40:23 time: 0.7313 data_time: 0.2138 memory: 31836 grad_norm: 3.5404 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8890 loss: 1.8890 2022/10/13 21:06:48 - mmengine - INFO - Epoch(train) [6][40/940] lr: 1.0000e-02 eta: 13:40:17 time: 0.5650 data_time: 0.0296 memory: 31836 grad_norm: 3.5518 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.0261 loss: 2.0261 2022/10/13 21:06:59 - mmengine - INFO - Epoch(train) [6][60/940] lr: 1.0000e-02 eta: 13:40:11 time: 0.5641 data_time: 0.0328 memory: 31836 grad_norm: 3.5517 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.9353 loss: 1.9353 2022/10/13 21:07:10 - mmengine - INFO - Epoch(train) [6][80/940] lr: 1.0000e-02 eta: 13:40:01 time: 0.5524 data_time: 0.0355 memory: 31836 grad_norm: 3.5174 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.0456 loss: 2.0456 2022/10/13 21:07:21 - mmengine - INFO - Epoch(train) [6][100/940] lr: 1.0000e-02 eta: 13:39:47 time: 0.5452 data_time: 0.0318 memory: 31836 grad_norm: 3.5758 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9258 loss: 1.9258 2022/10/13 21:07:32 - mmengine - INFO - Epoch(train) [6][120/940] lr: 1.0000e-02 eta: 13:39:34 time: 0.5454 data_time: 0.0329 memory: 31836 grad_norm: 3.5562 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.8159 loss: 1.8159 2022/10/13 21:07:43 - mmengine - INFO - Epoch(train) [6][140/940] lr: 1.0000e-02 eta: 13:39:19 time: 0.5403 data_time: 0.0333 memory: 31836 grad_norm: 3.6014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9394 loss: 1.9394 2022/10/13 21:07:54 - mmengine - INFO - Epoch(train) [6][160/940] lr: 1.0000e-02 eta: 13:39:09 time: 0.5536 data_time: 0.0310 memory: 31836 grad_norm: 3.5241 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.8221 loss: 1.8221 2022/10/13 21:08:05 - mmengine - INFO - Epoch(train) [6][180/940] lr: 1.0000e-02 eta: 13:38:57 time: 0.5505 data_time: 0.0247 memory: 31836 grad_norm: 3.6029 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9621 loss: 1.9621 2022/10/13 21:08:16 - mmengine - INFO - Epoch(train) [6][200/940] lr: 1.0000e-02 eta: 13:38:46 time: 0.5508 data_time: 0.0278 memory: 31836 grad_norm: 3.5673 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.9193 loss: 1.9193 2022/10/13 21:08:27 - mmengine - INFO - Epoch(train) [6][220/940] lr: 1.0000e-02 eta: 13:38:32 time: 0.5442 data_time: 0.0253 memory: 31836 grad_norm: 3.6187 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.8512 loss: 1.8512 2022/10/13 21:08:38 - mmengine - INFO - Epoch(train) [6][240/940] lr: 1.0000e-02 eta: 13:38:20 time: 0.5471 data_time: 0.0288 memory: 31836 grad_norm: 3.5767 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0223 loss: 2.0223 2022/10/13 21:08:49 - mmengine - INFO - Epoch(train) [6][260/940] lr: 1.0000e-02 eta: 13:38:05 time: 0.5402 data_time: 0.0229 memory: 31836 grad_norm: 3.5526 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.8941 loss: 1.8941 2022/10/13 21:08:59 - mmengine - INFO - Epoch(train) [6][280/940] lr: 1.0000e-02 eta: 13:37:49 time: 0.5392 data_time: 0.0246 memory: 31836 grad_norm: 3.5682 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.8863 loss: 1.8863 2022/10/13 21:09:10 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:09:10 - mmengine - INFO - Epoch(train) [6][300/940] lr: 1.0000e-02 eta: 13:37:39 time: 0.5520 data_time: 0.0339 memory: 31836 grad_norm: 3.5550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8806 loss: 1.8806 2022/10/13 21:09:22 - mmengine - INFO - Epoch(train) [6][320/940] lr: 1.0000e-02 eta: 13:37:30 time: 0.5582 data_time: 0.0321 memory: 31836 grad_norm: 3.6853 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9771 loss: 1.9771 2022/10/13 21:09:33 - mmengine - INFO - Epoch(train) [6][340/940] lr: 1.0000e-02 eta: 13:37:19 time: 0.5501 data_time: 0.0259 memory: 31836 grad_norm: 3.5283 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9034 loss: 1.9034 2022/10/13 21:09:44 - mmengine - INFO - Epoch(train) [6][360/940] lr: 1.0000e-02 eta: 13:37:08 time: 0.5532 data_time: 0.0288 memory: 31836 grad_norm: 3.5515 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.9223 loss: 1.9223 2022/10/13 21:09:55 - mmengine - INFO - Epoch(train) [6][380/940] lr: 1.0000e-02 eta: 13:36:55 time: 0.5438 data_time: 0.0240 memory: 31836 grad_norm: 3.5813 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8725 loss: 1.8725 2022/10/13 21:10:06 - mmengine - INFO - Epoch(train) [6][400/940] lr: 1.0000e-02 eta: 13:36:45 time: 0.5550 data_time: 0.0313 memory: 31836 grad_norm: 3.5785 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7600 loss: 1.7600 2022/10/13 21:10:17 - mmengine - INFO - Epoch(train) [6][420/940] lr: 1.0000e-02 eta: 13:36:32 time: 0.5466 data_time: 0.0295 memory: 31836 grad_norm: 3.5596 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.0796 loss: 2.0796 2022/10/13 21:10:27 - mmengine - INFO - Epoch(train) [6][440/940] lr: 1.0000e-02 eta: 13:36:20 time: 0.5475 data_time: 0.0276 memory: 31836 grad_norm: 3.5406 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.9075 loss: 1.9075 2022/10/13 21:10:38 - mmengine - INFO - Epoch(train) [6][460/940] lr: 1.0000e-02 eta: 13:36:07 time: 0.5447 data_time: 0.0301 memory: 31836 grad_norm: 3.5928 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9884 loss: 1.9884 2022/10/13 21:10:49 - mmengine - INFO - Epoch(train) [6][480/940] lr: 1.0000e-02 eta: 13:35:54 time: 0.5464 data_time: 0.0244 memory: 31836 grad_norm: 3.5811 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8746 loss: 1.8746 2022/10/13 21:11:00 - mmengine - INFO - Epoch(train) [6][500/940] lr: 1.0000e-02 eta: 13:35:41 time: 0.5451 data_time: 0.0328 memory: 31836 grad_norm: 3.6044 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9858 loss: 1.9858 2022/10/13 21:11:11 - mmengine - INFO - Epoch(train) [6][520/940] lr: 1.0000e-02 eta: 13:35:28 time: 0.5464 data_time: 0.0317 memory: 31836 grad_norm: 3.6058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9811 loss: 1.9811 2022/10/13 21:11:22 - mmengine - INFO - Epoch(train) [6][540/940] lr: 1.0000e-02 eta: 13:35:15 time: 0.5442 data_time: 0.0327 memory: 31836 grad_norm: 3.6038 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8998 loss: 1.8998 2022/10/13 21:11:33 - mmengine - INFO - Epoch(train) [6][560/940] lr: 1.0000e-02 eta: 13:35:04 time: 0.5496 data_time: 0.0314 memory: 31836 grad_norm: 3.6883 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0833 loss: 2.0833 2022/10/13 21:11:44 - mmengine - INFO - Epoch(train) [6][580/940] lr: 1.0000e-02 eta: 13:34:50 time: 0.5439 data_time: 0.0309 memory: 31836 grad_norm: 3.5393 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7509 loss: 1.7509 2022/10/13 21:11:55 - mmengine - INFO - Epoch(train) [6][600/940] lr: 1.0000e-02 eta: 13:34:36 time: 0.5423 data_time: 0.0320 memory: 31836 grad_norm: 3.6040 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9677 loss: 1.9677 2022/10/13 21:12:06 - mmengine - INFO - Epoch(train) [6][620/940] lr: 1.0000e-02 eta: 13:34:24 time: 0.5483 data_time: 0.0316 memory: 31836 grad_norm: 3.5877 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9868 loss: 1.9868 2022/10/13 21:12:17 - mmengine - INFO - Epoch(train) [6][640/940] lr: 1.0000e-02 eta: 13:34:13 time: 0.5506 data_time: 0.0321 memory: 31836 grad_norm: 3.6175 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 2.0112 loss: 2.0112 2022/10/13 21:12:28 - mmengine - INFO - Epoch(train) [6][660/940] lr: 1.0000e-02 eta: 13:34:00 time: 0.5441 data_time: 0.0262 memory: 31836 grad_norm: 3.6697 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0243 loss: 2.0243 2022/10/13 21:12:39 - mmengine - INFO - Epoch(train) [6][680/940] lr: 1.0000e-02 eta: 13:33:47 time: 0.5470 data_time: 0.0312 memory: 31836 grad_norm: 3.5631 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9011 loss: 1.9011 2022/10/13 21:12:49 - mmengine - INFO - Epoch(train) [6][700/940] lr: 1.0000e-02 eta: 13:33:33 time: 0.5421 data_time: 0.0290 memory: 31836 grad_norm: 3.5953 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9012 loss: 1.9012 2022/10/13 21:13:00 - mmengine - INFO - Epoch(train) [6][720/940] lr: 1.0000e-02 eta: 13:33:23 time: 0.5535 data_time: 0.0298 memory: 31836 grad_norm: 3.5553 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0984 loss: 2.0984 2022/10/13 21:13:11 - mmengine - INFO - Epoch(train) [6][740/940] lr: 1.0000e-02 eta: 13:33:10 time: 0.5454 data_time: 0.0251 memory: 31836 grad_norm: 3.6005 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1100 loss: 2.1100 2022/10/13 21:13:22 - mmengine - INFO - Epoch(train) [6][760/940] lr: 1.0000e-02 eta: 13:32:56 time: 0.5414 data_time: 0.0275 memory: 31836 grad_norm: 3.5869 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.0231 loss: 2.0231 2022/10/13 21:13:33 - mmengine - INFO - Epoch(train) [6][780/940] lr: 1.0000e-02 eta: 13:32:46 time: 0.5519 data_time: 0.0284 memory: 31836 grad_norm: 3.6022 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.9391 loss: 1.9391 2022/10/13 21:13:44 - mmengine - INFO - Epoch(train) [6][800/940] lr: 1.0000e-02 eta: 13:32:33 time: 0.5452 data_time: 0.0300 memory: 31836 grad_norm: 3.6246 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9877 loss: 1.9877 2022/10/13 21:13:55 - mmengine - INFO - Epoch(train) [6][820/940] lr: 1.0000e-02 eta: 13:32:23 time: 0.5534 data_time: 0.0296 memory: 31836 grad_norm: 3.5939 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.9933 loss: 1.9933 2022/10/13 21:14:06 - mmengine - INFO - Epoch(train) [6][840/940] lr: 1.0000e-02 eta: 13:32:09 time: 0.5440 data_time: 0.0275 memory: 31836 grad_norm: 3.6475 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0139 loss: 2.0139 2022/10/13 21:14:17 - mmengine - INFO - Epoch(train) [6][860/940] lr: 1.0000e-02 eta: 13:31:58 time: 0.5489 data_time: 0.0265 memory: 31836 grad_norm: 3.6810 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9158 loss: 1.9158 2022/10/13 21:14:28 - mmengine - INFO - Epoch(train) [6][880/940] lr: 1.0000e-02 eta: 13:31:45 time: 0.5440 data_time: 0.0245 memory: 31836 grad_norm: 3.6058 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.9535 loss: 1.9535 2022/10/13 21:14:39 - mmengine - INFO - Epoch(train) [6][900/940] lr: 1.0000e-02 eta: 13:31:32 time: 0.5459 data_time: 0.0279 memory: 31836 grad_norm: 3.5232 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7069 loss: 1.7069 2022/10/13 21:14:50 - mmengine - INFO - Epoch(train) [6][920/940] lr: 1.0000e-02 eta: 13:31:18 time: 0.5405 data_time: 0.0240 memory: 31836 grad_norm: 3.5981 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0456 loss: 2.0456 2022/10/13 21:15:00 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:15:00 - mmengine - INFO - Epoch(train) [6][940/940] lr: 1.0000e-02 eta: 13:30:57 time: 0.5183 data_time: 0.0254 memory: 31836 grad_norm: 3.7405 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9015 loss: 1.9015 2022/10/13 21:15:00 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/10/13 21:15:14 - mmengine - INFO - Epoch(val) [6][20/78] eta: 0:00:37 time: 0.6539 data_time: 0.5055 memory: 3561 2022/10/13 21:15:24 - mmengine - INFO - Epoch(val) [6][40/78] eta: 0:00:17 time: 0.4732 data_time: 0.3267 memory: 3561 2022/10/13 21:15:35 - mmengine - INFO - Epoch(val) [6][60/78] eta: 0:00:09 time: 0.5504 data_time: 0.4030 memory: 3561 2022/10/13 21:15:44 - mmengine - INFO - Epoch(val) [6][78/78] acc/top1: 0.6210 acc/top5: 0.8424 acc/mean1: 0.6209 2022/10/13 21:15:44 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_5.pth is removed 2022/10/13 21:15:44 - mmengine - INFO - The best checkpoint with 0.6210 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/10/13 21:16:00 - mmengine - INFO - Epoch(train) [7][20/940] lr: 1.0000e-02 eta: 13:31:53 time: 0.7661 data_time: 0.2408 memory: 31836 grad_norm: 3.6060 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9098 loss: 1.9098 2022/10/13 21:16:11 - mmengine - INFO - Epoch(train) [7][40/940] lr: 1.0000e-02 eta: 13:31:41 time: 0.5487 data_time: 0.0269 memory: 31836 grad_norm: 3.5507 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0541 loss: 2.0541 2022/10/13 21:16:22 - mmengine - INFO - Epoch(train) [7][60/940] lr: 1.0000e-02 eta: 13:31:34 time: 0.5649 data_time: 0.0335 memory: 31836 grad_norm: 3.5596 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9839 loss: 1.9839 2022/10/13 21:16:33 - mmengine - INFO - Epoch(train) [7][80/940] lr: 1.0000e-02 eta: 13:31:26 time: 0.5622 data_time: 0.0304 memory: 31836 grad_norm: 3.5447 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 1.8602 loss: 1.8602 2022/10/13 21:16:44 - mmengine - INFO - Epoch(train) [7][100/940] lr: 1.0000e-02 eta: 13:31:15 time: 0.5510 data_time: 0.0268 memory: 31836 grad_norm: 3.6699 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0074 loss: 2.0074 2022/10/13 21:16:55 - mmengine - INFO - Epoch(train) [7][120/940] lr: 1.0000e-02 eta: 13:31:03 time: 0.5484 data_time: 0.0339 memory: 31836 grad_norm: 3.5291 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7607 loss: 1.7607 2022/10/13 21:17:06 - mmengine - INFO - Epoch(train) [7][140/940] lr: 1.0000e-02 eta: 13:30:52 time: 0.5524 data_time: 0.0331 memory: 31836 grad_norm: 3.5486 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7470 loss: 1.7470 2022/10/13 21:17:17 - mmengine - INFO - Epoch(train) [7][160/940] lr: 1.0000e-02 eta: 13:30:43 time: 0.5579 data_time: 0.0273 memory: 31836 grad_norm: 3.6204 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9476 loss: 1.9476 2022/10/13 21:17:28 - mmengine - INFO - Epoch(train) [7][180/940] lr: 1.0000e-02 eta: 13:30:29 time: 0.5399 data_time: 0.0244 memory: 31836 grad_norm: 3.6267 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8984 loss: 1.8984 2022/10/13 21:17:39 - mmengine - INFO - Epoch(train) [7][200/940] lr: 1.0000e-02 eta: 13:30:19 time: 0.5547 data_time: 0.0305 memory: 31836 grad_norm: 3.6065 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9923 loss: 1.9923 2022/10/13 21:17:50 - mmengine - INFO - Epoch(train) [7][220/940] lr: 1.0000e-02 eta: 13:30:08 time: 0.5523 data_time: 0.0281 memory: 31836 grad_norm: 3.6254 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0633 loss: 2.0633 2022/10/13 21:18:01 - mmengine - INFO - Epoch(train) [7][240/940] lr: 1.0000e-02 eta: 13:29:57 time: 0.5535 data_time: 0.0366 memory: 31836 grad_norm: 3.5639 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.9318 loss: 1.9318 2022/10/13 21:18:12 - mmengine - INFO - Epoch(train) [7][260/940] lr: 1.0000e-02 eta: 13:29:43 time: 0.5406 data_time: 0.0230 memory: 31836 grad_norm: 3.6030 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8847 loss: 1.8847 2022/10/13 21:18:23 - mmengine - INFO - Epoch(train) [7][280/940] lr: 1.0000e-02 eta: 13:29:31 time: 0.5489 data_time: 0.0273 memory: 31836 grad_norm: 3.6008 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6971 loss: 1.6971 2022/10/13 21:18:34 - mmengine - INFO - Epoch(train) [7][300/940] lr: 1.0000e-02 eta: 13:29:21 time: 0.5526 data_time: 0.0261 memory: 31836 grad_norm: 3.5970 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8870 loss: 1.8870 2022/10/13 21:18:45 - mmengine - INFO - Epoch(train) [7][320/940] lr: 1.0000e-02 eta: 13:29:09 time: 0.5476 data_time: 0.0282 memory: 31836 grad_norm: 3.6416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9246 loss: 1.9246 2022/10/13 21:18:56 - mmengine - INFO - Epoch(train) [7][340/940] lr: 1.0000e-02 eta: 13:28:58 time: 0.5543 data_time: 0.0285 memory: 31836 grad_norm: 3.6188 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.9073 loss: 1.9073 2022/10/13 21:19:07 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:19:07 - mmengine - INFO - Epoch(train) [7][360/940] lr: 1.0000e-02 eta: 13:28:44 time: 0.5417 data_time: 0.0299 memory: 31836 grad_norm: 3.6195 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8768 loss: 1.8768 2022/10/13 21:19:18 - mmengine - INFO - Epoch(train) [7][380/940] lr: 1.0000e-02 eta: 13:28:32 time: 0.5461 data_time: 0.0383 memory: 31836 grad_norm: 3.6448 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9399 loss: 1.9399 2022/10/13 21:19:29 - mmengine - INFO - Epoch(train) [7][400/940] lr: 1.0000e-02 eta: 13:28:20 time: 0.5474 data_time: 0.0312 memory: 31836 grad_norm: 3.6340 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.9152 loss: 1.9152 2022/10/13 21:19:40 - mmengine - INFO - Epoch(train) [7][420/940] lr: 1.0000e-02 eta: 13:28:08 time: 0.5477 data_time: 0.0301 memory: 31836 grad_norm: 3.6055 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 1.9554 loss: 1.9554 2022/10/13 21:19:51 - mmengine - INFO - Epoch(train) [7][440/940] lr: 1.0000e-02 eta: 13:27:55 time: 0.5449 data_time: 0.0275 memory: 31836 grad_norm: 3.5994 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 1.8419 loss: 1.8419 2022/10/13 21:20:02 - mmengine - INFO - Epoch(train) [7][460/940] lr: 1.0000e-02 eta: 13:27:41 time: 0.5413 data_time: 0.0257 memory: 31836 grad_norm: 3.6890 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7634 loss: 1.7634 2022/10/13 21:20:13 - mmengine - INFO - Epoch(train) [7][480/940] lr: 1.0000e-02 eta: 13:27:28 time: 0.5452 data_time: 0.0259 memory: 31836 grad_norm: 3.6775 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7513 loss: 1.7513 2022/10/13 21:20:23 - mmengine - INFO - Epoch(train) [7][500/940] lr: 1.0000e-02 eta: 13:27:15 time: 0.5427 data_time: 0.0245 memory: 31836 grad_norm: 3.6570 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8445 loss: 1.8445 2022/10/13 21:20:35 - mmengine - INFO - Epoch(train) [7][520/940] lr: 1.0000e-02 eta: 13:27:04 time: 0.5535 data_time: 0.0287 memory: 31836 grad_norm: 3.6552 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.8129 loss: 1.8129 2022/10/13 21:20:46 - mmengine - INFO - Epoch(train) [7][540/940] lr: 1.0000e-02 eta: 13:26:56 time: 0.5623 data_time: 0.0310 memory: 31836 grad_norm: 3.6703 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0003 loss: 2.0003 2022/10/13 21:20:57 - mmengine - INFO - Epoch(train) [7][560/940] lr: 1.0000e-02 eta: 13:26:47 time: 0.5576 data_time: 0.0259 memory: 31836 grad_norm: 3.5982 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8894 loss: 1.8894 2022/10/13 21:21:08 - mmengine - INFO - Epoch(train) [7][580/940] lr: 1.0000e-02 eta: 13:26:41 time: 0.5706 data_time: 0.0476 memory: 31836 grad_norm: 3.6113 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8498 loss: 1.8498 2022/10/13 21:21:20 - mmengine - INFO - Epoch(train) [7][600/940] lr: 1.0000e-02 eta: 13:26:38 time: 0.5782 data_time: 0.0560 memory: 31836 grad_norm: 3.5882 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9779 loss: 1.9779 2022/10/13 21:21:31 - mmengine - INFO - Epoch(train) [7][620/940] lr: 1.0000e-02 eta: 13:26:26 time: 0.5473 data_time: 0.0223 memory: 31836 grad_norm: 3.6734 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9752 loss: 1.9752 2022/10/13 21:21:42 - mmengine - INFO - Epoch(train) [7][640/940] lr: 1.0000e-02 eta: 13:26:17 time: 0.5584 data_time: 0.0309 memory: 31836 grad_norm: 3.7061 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8424 loss: 1.8424 2022/10/13 21:21:53 - mmengine - INFO - Epoch(train) [7][660/940] lr: 1.0000e-02 eta: 13:26:05 time: 0.5498 data_time: 0.0216 memory: 31836 grad_norm: 3.6754 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8642 loss: 1.8642 2022/10/13 21:22:04 - mmengine - INFO - Epoch(train) [7][680/940] lr: 1.0000e-02 eta: 13:25:51 time: 0.5419 data_time: 0.0277 memory: 31836 grad_norm: 3.6921 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.9545 loss: 1.9545 2022/10/13 21:22:15 - mmengine - INFO - Epoch(train) [7][700/940] lr: 1.0000e-02 eta: 13:25:41 time: 0.5532 data_time: 0.0244 memory: 31836 grad_norm: 3.6575 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1381 loss: 2.1381 2022/10/13 21:22:26 - mmengine - INFO - Epoch(train) [7][720/940] lr: 1.0000e-02 eta: 13:25:30 time: 0.5519 data_time: 0.0297 memory: 31836 grad_norm: 3.6317 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9761 loss: 1.9761 2022/10/13 21:22:37 - mmengine - INFO - Epoch(train) [7][740/940] lr: 1.0000e-02 eta: 13:25:17 time: 0.5446 data_time: 0.0246 memory: 31836 grad_norm: 3.6790 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8871 loss: 1.8871 2022/10/13 21:22:48 - mmengine - INFO - Epoch(train) [7][760/940] lr: 1.0000e-02 eta: 13:25:07 time: 0.5532 data_time: 0.0339 memory: 31836 grad_norm: 3.6633 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9011 loss: 1.9011 2022/10/13 21:22:59 - mmengine - INFO - Epoch(train) [7][780/940] lr: 1.0000e-02 eta: 13:24:53 time: 0.5411 data_time: 0.0261 memory: 31836 grad_norm: 3.5802 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9420 loss: 1.9420 2022/10/13 21:23:10 - mmengine - INFO - Epoch(train) [7][800/940] lr: 1.0000e-02 eta: 13:24:39 time: 0.5429 data_time: 0.0258 memory: 31836 grad_norm: 3.5964 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9158 loss: 1.9158 2022/10/13 21:23:21 - mmengine - INFO - Epoch(train) [7][820/940] lr: 1.0000e-02 eta: 13:24:29 time: 0.5530 data_time: 0.0298 memory: 31836 grad_norm: 3.5983 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9464 loss: 1.9464 2022/10/13 21:23:32 - mmengine - INFO - Epoch(train) [7][840/940] lr: 1.0000e-02 eta: 13:24:16 time: 0.5438 data_time: 0.0266 memory: 31836 grad_norm: 3.6385 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.9759 loss: 1.9759 2022/10/13 21:23:43 - mmengine - INFO - Epoch(train) [7][860/940] lr: 1.0000e-02 eta: 13:24:04 time: 0.5487 data_time: 0.0244 memory: 31836 grad_norm: 3.6711 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8033 loss: 1.8033 2022/10/13 21:23:53 - mmengine - INFO - Epoch(train) [7][880/940] lr: 1.0000e-02 eta: 13:23:50 time: 0.5397 data_time: 0.0280 memory: 31836 grad_norm: 3.7755 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8816 loss: 1.8816 2022/10/13 21:24:04 - mmengine - INFO - Epoch(train) [7][900/940] lr: 1.0000e-02 eta: 13:23:37 time: 0.5466 data_time: 0.0293 memory: 31836 grad_norm: 3.6825 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9328 loss: 1.9328 2022/10/13 21:24:15 - mmengine - INFO - Epoch(train) [7][920/940] lr: 1.0000e-02 eta: 13:23:26 time: 0.5497 data_time: 0.0291 memory: 31836 grad_norm: 3.6299 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.8729 loss: 1.8729 2022/10/13 21:24:26 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:24:26 - mmengine - INFO - Epoch(train) [7][940/940] lr: 1.0000e-02 eta: 13:23:06 time: 0.5184 data_time: 0.0302 memory: 31836 grad_norm: 3.7784 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.8657 loss: 1.8657 2022/10/13 21:24:39 - mmengine - INFO - Epoch(val) [7][20/78] eta: 0:00:37 time: 0.6525 data_time: 0.5027 memory: 3561 2022/10/13 21:24:47 - mmengine - INFO - Epoch(val) [7][40/78] eta: 0:00:16 time: 0.4336 data_time: 0.2836 memory: 3561 2022/10/13 21:24:59 - mmengine - INFO - Epoch(val) [7][60/78] eta: 0:00:10 time: 0.5623 data_time: 0.4125 memory: 3561 2022/10/13 21:25:09 - mmengine - INFO - Epoch(val) [7][78/78] acc/top1: 0.6296 acc/top5: 0.8514 acc/mean1: 0.6295 2022/10/13 21:25:09 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_6.pth is removed 2022/10/13 21:25:10 - mmengine - INFO - The best checkpoint with 0.6296 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/10/13 21:25:26 - mmengine - INFO - Epoch(train) [8][20/940] lr: 1.0000e-02 eta: 13:23:58 time: 0.7890 data_time: 0.2795 memory: 31836 grad_norm: 3.5795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8164 loss: 1.8164 2022/10/13 21:25:37 - mmengine - INFO - Epoch(train) [8][40/940] lr: 1.0000e-02 eta: 13:23:45 time: 0.5439 data_time: 0.0250 memory: 31836 grad_norm: 3.5674 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7737 loss: 1.7737 2022/10/13 21:25:48 - mmengine - INFO - Epoch(train) [8][60/940] lr: 1.0000e-02 eta: 13:23:32 time: 0.5435 data_time: 0.0293 memory: 31836 grad_norm: 3.6786 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8624 loss: 1.8624 2022/10/13 21:25:59 - mmengine - INFO - Epoch(train) [8][80/940] lr: 1.0000e-02 eta: 13:23:20 time: 0.5478 data_time: 0.0296 memory: 31836 grad_norm: 3.7596 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.9013 loss: 1.9013 2022/10/13 21:26:10 - mmengine - INFO - Epoch(train) [8][100/940] lr: 1.0000e-02 eta: 13:23:08 time: 0.5483 data_time: 0.0307 memory: 31836 grad_norm: 3.7003 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7618 loss: 1.7618 2022/10/13 21:26:21 - mmengine - INFO - Epoch(train) [8][120/940] lr: 1.0000e-02 eta: 13:22:55 time: 0.5449 data_time: 0.0283 memory: 31836 grad_norm: 3.7148 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7897 loss: 1.7897 2022/10/13 21:26:32 - mmengine - INFO - Epoch(train) [8][140/940] lr: 1.0000e-02 eta: 13:22:43 time: 0.5476 data_time: 0.0278 memory: 31836 grad_norm: 3.6675 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8864 loss: 1.8864 2022/10/13 21:26:43 - mmengine - INFO - Epoch(train) [8][160/940] lr: 1.0000e-02 eta: 13:22:32 time: 0.5512 data_time: 0.0286 memory: 31836 grad_norm: 3.6441 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9024 loss: 1.9024 2022/10/13 21:26:54 - mmengine - INFO - Epoch(train) [8][180/940] lr: 1.0000e-02 eta: 13:22:18 time: 0.5434 data_time: 0.0354 memory: 31836 grad_norm: 3.6814 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9929 loss: 1.9929 2022/10/13 21:27:05 - mmengine - INFO - Epoch(train) [8][200/940] lr: 1.0000e-02 eta: 13:22:06 time: 0.5477 data_time: 0.0262 memory: 31836 grad_norm: 3.6608 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9681 loss: 1.9681 2022/10/13 21:27:15 - mmengine - INFO - Epoch(train) [8][220/940] lr: 1.0000e-02 eta: 13:21:54 time: 0.5466 data_time: 0.0324 memory: 31836 grad_norm: 3.6201 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.8869 loss: 1.8869 2022/10/13 21:27:27 - mmengine - INFO - Epoch(train) [8][240/940] lr: 1.0000e-02 eta: 13:21:43 time: 0.5538 data_time: 0.0318 memory: 31836 grad_norm: 3.6447 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.8059 loss: 1.8059 2022/10/13 21:27:38 - mmengine - INFO - Epoch(train) [8][260/940] lr: 1.0000e-02 eta: 13:21:32 time: 0.5501 data_time: 0.0261 memory: 31836 grad_norm: 3.5832 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8572 loss: 1.8572 2022/10/13 21:27:49 - mmengine - INFO - Epoch(train) [8][280/940] lr: 1.0000e-02 eta: 13:21:21 time: 0.5507 data_time: 0.0331 memory: 31836 grad_norm: 3.5713 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8843 loss: 1.8843 2022/10/13 21:28:00 - mmengine - INFO - Epoch(train) [8][300/940] lr: 1.0000e-02 eta: 13:21:09 time: 0.5508 data_time: 0.0209 memory: 31836 grad_norm: 3.7339 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7244 loss: 1.7244 2022/10/13 21:28:10 - mmengine - INFO - Epoch(train) [8][320/940] lr: 1.0000e-02 eta: 13:20:56 time: 0.5443 data_time: 0.0253 memory: 31836 grad_norm: 3.7145 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8906 loss: 1.8906 2022/10/13 21:28:21 - mmengine - INFO - Epoch(train) [8][340/940] lr: 1.0000e-02 eta: 13:20:44 time: 0.5460 data_time: 0.0301 memory: 31836 grad_norm: 3.6547 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.9188 loss: 1.9188 2022/10/13 21:28:32 - mmengine - INFO - Epoch(train) [8][360/940] lr: 1.0000e-02 eta: 13:20:32 time: 0.5467 data_time: 0.0283 memory: 31836 grad_norm: 3.6855 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.7056 loss: 1.7056 2022/10/13 21:28:43 - mmengine - INFO - Epoch(train) [8][380/940] lr: 1.0000e-02 eta: 13:20:20 time: 0.5491 data_time: 0.0244 memory: 31836 grad_norm: 3.7081 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9582 loss: 1.9582 2022/10/13 21:28:54 - mmengine - INFO - Epoch(train) [8][400/940] lr: 1.0000e-02 eta: 13:20:08 time: 0.5464 data_time: 0.0265 memory: 31836 grad_norm: 3.6855 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7815 loss: 1.7815 2022/10/13 21:29:05 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:29:05 - mmengine - INFO - Epoch(train) [8][420/940] lr: 1.0000e-02 eta: 13:19:56 time: 0.5502 data_time: 0.0252 memory: 31836 grad_norm: 3.6912 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8531 loss: 1.8531 2022/10/13 21:29:16 - mmengine - INFO - Epoch(train) [8][440/940] lr: 1.0000e-02 eta: 13:19:44 time: 0.5490 data_time: 0.0253 memory: 31836 grad_norm: 3.6693 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/10/13 21:29:27 - mmengine - INFO - Epoch(train) [8][460/940] lr: 1.0000e-02 eta: 13:19:33 time: 0.5505 data_time: 0.0316 memory: 31836 grad_norm: 3.7307 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.8577 loss: 1.8577 2022/10/13 21:29:38 - mmengine - INFO - Epoch(train) [8][480/940] lr: 1.0000e-02 eta: 13:19:22 time: 0.5529 data_time: 0.0260 memory: 31836 grad_norm: 3.6394 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7429 loss: 1.7429 2022/10/13 21:29:49 - mmengine - INFO - Epoch(train) [8][500/940] lr: 1.0000e-02 eta: 13:19:12 time: 0.5553 data_time: 0.0259 memory: 31836 grad_norm: 3.6492 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7895 loss: 1.7895 2022/10/13 21:30:00 - mmengine - INFO - Epoch(train) [8][520/940] lr: 1.0000e-02 eta: 13:18:59 time: 0.5413 data_time: 0.0304 memory: 31836 grad_norm: 3.6410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9005 loss: 1.9005 2022/10/13 21:30:11 - mmengine - INFO - Epoch(train) [8][540/940] lr: 1.0000e-02 eta: 13:18:47 time: 0.5477 data_time: 0.0318 memory: 31836 grad_norm: 3.6995 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.7939 loss: 1.7939 2022/10/13 21:30:22 - mmengine - INFO - Epoch(train) [8][560/940] lr: 1.0000e-02 eta: 13:18:36 time: 0.5511 data_time: 0.0366 memory: 31836 grad_norm: 3.6629 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6688 loss: 1.6688 2022/10/13 21:30:33 - mmengine - INFO - Epoch(train) [8][580/940] lr: 1.0000e-02 eta: 13:18:24 time: 0.5487 data_time: 0.0263 memory: 31836 grad_norm: 3.6918 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7285 loss: 1.7285 2022/10/13 21:30:44 - mmengine - INFO - Epoch(train) [8][600/940] lr: 1.0000e-02 eta: 13:18:10 time: 0.5417 data_time: 0.0307 memory: 31836 grad_norm: 3.7114 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.9108 loss: 1.9108 2022/10/13 21:30:55 - mmengine - INFO - Epoch(train) [8][620/940] lr: 1.0000e-02 eta: 13:17:59 time: 0.5515 data_time: 0.0277 memory: 31836 grad_norm: 3.6630 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8489 loss: 1.8489 2022/10/13 21:31:06 - mmengine - INFO - Epoch(train) [8][640/940] lr: 1.0000e-02 eta: 13:17:47 time: 0.5481 data_time: 0.0348 memory: 31836 grad_norm: 3.5366 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8286 loss: 1.8286 2022/10/13 21:31:17 - mmengine - INFO - Epoch(train) [8][660/940] lr: 1.0000e-02 eta: 13:17:35 time: 0.5442 data_time: 0.0297 memory: 31836 grad_norm: 3.6845 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8934 loss: 1.8934 2022/10/13 21:31:28 - mmengine - INFO - Epoch(train) [8][680/940] lr: 1.0000e-02 eta: 13:17:21 time: 0.5413 data_time: 0.0320 memory: 31836 grad_norm: 3.6701 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7420 loss: 1.7420 2022/10/13 21:31:39 - mmengine - INFO - Epoch(train) [8][700/940] lr: 1.0000e-02 eta: 13:17:09 time: 0.5490 data_time: 0.0300 memory: 31836 grad_norm: 3.7099 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8762 loss: 1.8762 2022/10/13 21:31:50 - mmengine - INFO - Epoch(train) [8][720/940] lr: 1.0000e-02 eta: 13:16:58 time: 0.5488 data_time: 0.0309 memory: 31836 grad_norm: 3.6512 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7941 loss: 1.7941 2022/10/13 21:32:01 - mmengine - INFO - Epoch(train) [8][740/940] lr: 1.0000e-02 eta: 13:16:44 time: 0.5414 data_time: 0.0292 memory: 31836 grad_norm: 3.7407 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8697 loss: 1.8697 2022/10/13 21:32:11 - mmengine - INFO - Epoch(train) [8][760/940] lr: 1.0000e-02 eta: 13:16:33 time: 0.5494 data_time: 0.0350 memory: 31836 grad_norm: 3.6900 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.8412 loss: 1.8412 2022/10/13 21:32:22 - mmengine - INFO - Epoch(train) [8][780/940] lr: 1.0000e-02 eta: 13:16:19 time: 0.5407 data_time: 0.0230 memory: 31836 grad_norm: 3.6824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9354 loss: 1.9354 2022/10/13 21:32:33 - mmengine - INFO - Epoch(train) [8][800/940] lr: 1.0000e-02 eta: 13:16:05 time: 0.5399 data_time: 0.0253 memory: 31836 grad_norm: 3.6633 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8386 loss: 1.8386 2022/10/13 21:32:44 - mmengine - INFO - Epoch(train) [8][820/940] lr: 1.0000e-02 eta: 13:15:53 time: 0.5447 data_time: 0.0298 memory: 31836 grad_norm: 3.7323 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9391 loss: 1.9391 2022/10/13 21:32:55 - mmengine - INFO - Epoch(train) [8][840/940] lr: 1.0000e-02 eta: 13:15:42 time: 0.5499 data_time: 0.0383 memory: 31836 grad_norm: 3.7786 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7766 loss: 1.7766 2022/10/13 21:33:06 - mmengine - INFO - Epoch(train) [8][860/940] lr: 1.0000e-02 eta: 13:15:28 time: 0.5415 data_time: 0.0273 memory: 31836 grad_norm: 3.7313 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6005 loss: 1.6005 2022/10/13 21:33:17 - mmengine - INFO - Epoch(train) [8][880/940] lr: 1.0000e-02 eta: 13:15:16 time: 0.5471 data_time: 0.0299 memory: 31836 grad_norm: 3.6402 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8462 loss: 1.8462 2022/10/13 21:33:28 - mmengine - INFO - Epoch(train) [8][900/940] lr: 1.0000e-02 eta: 13:15:03 time: 0.5441 data_time: 0.0258 memory: 31836 grad_norm: 3.7343 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.8113 loss: 1.8113 2022/10/13 21:33:38 - mmengine - INFO - Epoch(train) [8][920/940] lr: 1.0000e-02 eta: 13:14:49 time: 0.5381 data_time: 0.0290 memory: 31836 grad_norm: 3.7050 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.7451 loss: 1.7451 2022/10/13 21:33:49 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:33:49 - mmengine - INFO - Epoch(train) [8][940/940] lr: 1.0000e-02 eta: 13:14:30 time: 0.5131 data_time: 0.0236 memory: 31836 grad_norm: 3.8230 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.7612 loss: 1.7612 2022/10/13 21:34:02 - mmengine - INFO - Epoch(val) [8][20/78] eta: 0:00:37 time: 0.6444 data_time: 0.4926 memory: 3561 2022/10/13 21:34:10 - mmengine - INFO - Epoch(val) [8][40/78] eta: 0:00:15 time: 0.4072 data_time: 0.2605 memory: 3561 2022/10/13 21:34:21 - mmengine - INFO - Epoch(val) [8][60/78] eta: 0:00:09 time: 0.5538 data_time: 0.4036 memory: 3561 2022/10/13 21:34:32 - mmengine - INFO - Epoch(val) [8][78/78] acc/top1: 0.6293 acc/top5: 0.8445 acc/mean1: 0.6291 2022/10/13 21:34:47 - mmengine - INFO - Epoch(train) [9][20/940] lr: 1.0000e-02 eta: 13:15:07 time: 0.7627 data_time: 0.2223 memory: 31836 grad_norm: 3.5902 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7133 loss: 1.7133 2022/10/13 21:34:58 - mmengine - INFO - Epoch(train) [9][40/940] lr: 1.0000e-02 eta: 13:14:55 time: 0.5492 data_time: 0.0258 memory: 31836 grad_norm: 3.6195 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.8417 loss: 1.8417 2022/10/13 21:35:09 - mmengine - INFO - Epoch(train) [9][60/940] lr: 1.0000e-02 eta: 13:14:46 time: 0.5609 data_time: 0.0288 memory: 31836 grad_norm: 3.6681 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7860 loss: 1.7860 2022/10/13 21:35:20 - mmengine - INFO - Epoch(train) [9][80/940] lr: 1.0000e-02 eta: 13:14:33 time: 0.5400 data_time: 0.0297 memory: 31836 grad_norm: 3.7005 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.8086 loss: 1.8086 2022/10/13 21:35:31 - mmengine - INFO - Epoch(train) [9][100/940] lr: 1.0000e-02 eta: 13:14:20 time: 0.5424 data_time: 0.0236 memory: 31836 grad_norm: 3.5742 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7670 loss: 1.7670 2022/10/13 21:35:42 - mmengine - INFO - Epoch(train) [9][120/940] lr: 1.0000e-02 eta: 13:14:06 time: 0.5396 data_time: 0.0260 memory: 31836 grad_norm: 3.6219 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7944 loss: 1.7944 2022/10/13 21:35:53 - mmengine - INFO - Epoch(train) [9][140/940] lr: 1.0000e-02 eta: 13:13:54 time: 0.5483 data_time: 0.0294 memory: 31836 grad_norm: 3.6890 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8856 loss: 1.8856 2022/10/13 21:36:04 - mmengine - INFO - Epoch(train) [9][160/940] lr: 1.0000e-02 eta: 13:13:40 time: 0.5377 data_time: 0.0262 memory: 31836 grad_norm: 3.7113 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6999 loss: 1.6999 2022/10/13 21:36:15 - mmengine - INFO - Epoch(train) [9][180/940] lr: 1.0000e-02 eta: 13:13:27 time: 0.5439 data_time: 0.0287 memory: 31836 grad_norm: 3.8273 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.7661 loss: 1.7661 2022/10/13 21:36:26 - mmengine - INFO - Epoch(train) [9][200/940] lr: 1.0000e-02 eta: 13:13:16 time: 0.5513 data_time: 0.0235 memory: 31836 grad_norm: 3.7265 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7540 loss: 1.7540 2022/10/13 21:36:36 - mmengine - INFO - Epoch(train) [9][220/940] lr: 1.0000e-02 eta: 13:13:02 time: 0.5381 data_time: 0.0237 memory: 31836 grad_norm: 3.7854 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7799 loss: 1.7799 2022/10/13 21:36:47 - mmengine - INFO - Epoch(train) [9][240/940] lr: 1.0000e-02 eta: 13:12:50 time: 0.5467 data_time: 0.0325 memory: 31836 grad_norm: 3.7027 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8805 loss: 1.8805 2022/10/13 21:36:58 - mmengine - INFO - Epoch(train) [9][260/940] lr: 1.0000e-02 eta: 13:12:38 time: 0.5468 data_time: 0.0281 memory: 31836 grad_norm: 3.7081 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7928 loss: 1.7928 2022/10/13 21:37:09 - mmengine - INFO - Epoch(train) [9][280/940] lr: 1.0000e-02 eta: 13:12:24 time: 0.5383 data_time: 0.0274 memory: 31836 grad_norm: 3.7002 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7983 loss: 1.7983 2022/10/13 21:37:20 - mmengine - INFO - Epoch(train) [9][300/940] lr: 1.0000e-02 eta: 13:12:11 time: 0.5443 data_time: 0.0261 memory: 31836 grad_norm: 3.6940 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.8866 loss: 1.8866 2022/10/13 21:37:31 - mmengine - INFO - Epoch(train) [9][320/940] lr: 1.0000e-02 eta: 13:11:59 time: 0.5452 data_time: 0.0288 memory: 31836 grad_norm: 3.7246 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8394 loss: 1.8394 2022/10/13 21:37:42 - mmengine - INFO - Epoch(train) [9][340/940] lr: 1.0000e-02 eta: 13:11:46 time: 0.5429 data_time: 0.0262 memory: 31836 grad_norm: 3.6575 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.7880 loss: 1.7880 2022/10/13 21:37:52 - mmengine - INFO - Epoch(train) [9][360/940] lr: 1.0000e-02 eta: 13:11:32 time: 0.5414 data_time: 0.0285 memory: 31836 grad_norm: 3.7472 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.8489 loss: 1.8489 2022/10/13 21:38:03 - mmengine - INFO - Epoch(train) [9][380/940] lr: 1.0000e-02 eta: 13:11:20 time: 0.5440 data_time: 0.0280 memory: 31836 grad_norm: 3.7946 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.9893 loss: 1.9893 2022/10/13 21:38:14 - mmengine - INFO - Epoch(train) [9][400/940] lr: 1.0000e-02 eta: 13:11:06 time: 0.5410 data_time: 0.0266 memory: 31836 grad_norm: 3.6783 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7598 loss: 1.7598 2022/10/13 21:38:25 - mmengine - INFO - Epoch(train) [9][420/940] lr: 1.0000e-02 eta: 13:10:55 time: 0.5484 data_time: 0.0247 memory: 31836 grad_norm: 3.6973 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9026 loss: 1.9026 2022/10/13 21:38:36 - mmengine - INFO - Epoch(train) [9][440/940] lr: 1.0000e-02 eta: 13:10:41 time: 0.5371 data_time: 0.0251 memory: 31836 grad_norm: 3.6578 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.8380 loss: 1.8380 2022/10/13 21:38:47 - mmengine - INFO - Epoch(train) [9][460/940] lr: 1.0000e-02 eta: 13:10:27 time: 0.5414 data_time: 0.0257 memory: 31836 grad_norm: 3.7365 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9143 loss: 1.9143 2022/10/13 21:38:58 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:38:58 - mmengine - INFO - Epoch(train) [9][480/940] lr: 1.0000e-02 eta: 13:10:16 time: 0.5471 data_time: 0.0285 memory: 31836 grad_norm: 3.7341 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.7227 loss: 1.7227 2022/10/13 21:39:08 - mmengine - INFO - Epoch(train) [9][500/940] lr: 1.0000e-02 eta: 13:10:03 time: 0.5426 data_time: 0.0329 memory: 31836 grad_norm: 3.6547 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6558 loss: 1.6558 2022/10/13 21:39:19 - mmengine - INFO - Epoch(train) [9][520/940] lr: 1.0000e-02 eta: 13:09:50 time: 0.5444 data_time: 0.0311 memory: 31836 grad_norm: 3.6362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7711 loss: 1.7711 2022/10/13 21:39:30 - mmengine - INFO - Epoch(train) [9][540/940] lr: 1.0000e-02 eta: 13:09:37 time: 0.5403 data_time: 0.0273 memory: 31836 grad_norm: 3.7126 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9422 loss: 1.9422 2022/10/13 21:39:41 - mmengine - INFO - Epoch(train) [9][560/940] lr: 1.0000e-02 eta: 13:09:25 time: 0.5479 data_time: 0.0278 memory: 31836 grad_norm: 3.7626 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9210 loss: 1.9210 2022/10/13 21:39:52 - mmengine - INFO - Epoch(train) [9][580/940] lr: 1.0000e-02 eta: 13:09:12 time: 0.5400 data_time: 0.0243 memory: 31836 grad_norm: 3.6430 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8380 loss: 1.8380 2022/10/13 21:40:03 - mmengine - INFO - Epoch(train) [9][600/940] lr: 1.0000e-02 eta: 13:08:58 time: 0.5382 data_time: 0.0280 memory: 31836 grad_norm: 3.7247 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6452 loss: 1.6452 2022/10/13 21:40:14 - mmengine - INFO - Epoch(train) [9][620/940] lr: 1.0000e-02 eta: 13:08:46 time: 0.5460 data_time: 0.0264 memory: 31836 grad_norm: 3.7345 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8368 loss: 1.8368 2022/10/13 21:40:25 - mmengine - INFO - Epoch(train) [9][640/940] lr: 1.0000e-02 eta: 13:08:33 time: 0.5454 data_time: 0.0271 memory: 31836 grad_norm: 3.6760 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.8565 loss: 1.8565 2022/10/13 21:40:35 - mmengine - INFO - Epoch(train) [9][660/940] lr: 1.0000e-02 eta: 13:08:21 time: 0.5438 data_time: 0.0245 memory: 31836 grad_norm: 3.7027 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.8713 loss: 1.8713 2022/10/13 21:40:46 - mmengine - INFO - Epoch(train) [9][680/940] lr: 1.0000e-02 eta: 13:08:09 time: 0.5492 data_time: 0.0259 memory: 31836 grad_norm: 3.6442 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8043 loss: 1.8043 2022/10/13 21:40:57 - mmengine - INFO - Epoch(train) [9][700/940] lr: 1.0000e-02 eta: 13:07:56 time: 0.5390 data_time: 0.0279 memory: 31836 grad_norm: 3.6716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8160 loss: 1.8160 2022/10/13 21:41:08 - mmengine - INFO - Epoch(train) [9][720/940] lr: 1.0000e-02 eta: 13:07:43 time: 0.5446 data_time: 0.0287 memory: 31836 grad_norm: 3.7095 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8754 loss: 1.8754 2022/10/13 21:41:19 - mmengine - INFO - Epoch(train) [9][740/940] lr: 1.0000e-02 eta: 13:07:33 time: 0.5519 data_time: 0.0334 memory: 31836 grad_norm: 3.7198 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6860 loss: 1.6860 2022/10/13 21:41:30 - mmengine - INFO - Epoch(train) [9][760/940] lr: 1.0000e-02 eta: 13:07:20 time: 0.5447 data_time: 0.0226 memory: 31836 grad_norm: 3.7393 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9061 loss: 1.9061 2022/10/13 21:41:41 - mmengine - INFO - Epoch(train) [9][780/940] lr: 1.0000e-02 eta: 13:07:08 time: 0.5429 data_time: 0.0246 memory: 31836 grad_norm: 3.7438 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7602 loss: 1.7602 2022/10/13 21:41:52 - mmengine - INFO - Epoch(train) [9][800/940] lr: 1.0000e-02 eta: 13:06:54 time: 0.5366 data_time: 0.0245 memory: 31836 grad_norm: 3.7064 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7987 loss: 1.7987 2022/10/13 21:42:02 - mmengine - INFO - Epoch(train) [9][820/940] lr: 1.0000e-02 eta: 13:06:40 time: 0.5397 data_time: 0.0244 memory: 31836 grad_norm: 3.6929 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8165 loss: 1.8165 2022/10/13 21:42:13 - mmengine - INFO - Epoch(train) [9][840/940] lr: 1.0000e-02 eta: 13:06:28 time: 0.5462 data_time: 0.0294 memory: 31836 grad_norm: 3.7411 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7509 loss: 1.7509 2022/10/13 21:42:24 - mmengine - INFO - Epoch(train) [9][860/940] lr: 1.0000e-02 eta: 13:06:17 time: 0.5495 data_time: 0.0338 memory: 31836 grad_norm: 3.7450 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.7957 loss: 1.7957 2022/10/13 21:42:35 - mmengine - INFO - Epoch(train) [9][880/940] lr: 1.0000e-02 eta: 13:06:04 time: 0.5440 data_time: 0.0247 memory: 31836 grad_norm: 3.7640 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8717 loss: 1.8717 2022/10/13 21:42:46 - mmengine - INFO - Epoch(train) [9][900/940] lr: 1.0000e-02 eta: 13:05:52 time: 0.5449 data_time: 0.0317 memory: 31836 grad_norm: 3.7753 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8150 loss: 1.8150 2022/10/13 21:42:57 - mmengine - INFO - Epoch(train) [9][920/940] lr: 1.0000e-02 eta: 13:05:40 time: 0.5461 data_time: 0.0338 memory: 31836 grad_norm: 3.7701 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8536 loss: 1.8536 2022/10/13 21:43:07 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:43:07 - mmengine - INFO - Epoch(train) [9][940/940] lr: 1.0000e-02 eta: 13:05:20 time: 0.5070 data_time: 0.0212 memory: 31836 grad_norm: 4.0149 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.9635 loss: 1.9635 2022/10/13 21:43:07 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/10/13 21:43:21 - mmengine - INFO - Epoch(val) [9][20/78] eta: 0:00:36 time: 0.6230 data_time: 0.4732 memory: 3561 2022/10/13 21:43:31 - mmengine - INFO - Epoch(val) [9][40/78] eta: 0:00:19 time: 0.5040 data_time: 0.3563 memory: 3561 2022/10/13 21:43:42 - mmengine - INFO - Epoch(val) [9][60/78] eta: 0:00:09 time: 0.5341 data_time: 0.3856 memory: 3561 2022/10/13 21:43:54 - mmengine - INFO - Epoch(val) [9][78/78] acc/top1: 0.6361 acc/top5: 0.8515 acc/mean1: 0.6360 2022/10/13 21:43:54 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_7.pth is removed 2022/10/13 21:43:55 - mmengine - INFO - The best checkpoint with 0.6361 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/10/13 21:44:11 - mmengine - INFO - Epoch(train) [10][20/940] lr: 1.0000e-02 eta: 13:06:02 time: 0.8101 data_time: 0.2952 memory: 31836 grad_norm: 3.6167 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7514 loss: 1.7514 2022/10/13 21:44:22 - mmengine - INFO - Epoch(train) [10][40/940] lr: 1.0000e-02 eta: 13:05:48 time: 0.5389 data_time: 0.0242 memory: 31836 grad_norm: 3.6858 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7489 loss: 1.7489 2022/10/13 21:44:33 - mmengine - INFO - Epoch(train) [10][60/940] lr: 1.0000e-02 eta: 13:05:37 time: 0.5509 data_time: 0.0330 memory: 31836 grad_norm: 3.7351 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7618 loss: 1.7618 2022/10/13 21:44:44 - mmengine - INFO - Epoch(train) [10][80/940] lr: 1.0000e-02 eta: 13:05:24 time: 0.5403 data_time: 0.0241 memory: 31836 grad_norm: 3.7031 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7113 loss: 1.7113 2022/10/13 21:44:55 - mmengine - INFO - Epoch(train) [10][100/940] lr: 1.0000e-02 eta: 13:05:12 time: 0.5486 data_time: 0.0284 memory: 31836 grad_norm: 3.6535 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7330 loss: 1.7330 2022/10/13 21:45:06 - mmengine - INFO - Epoch(train) [10][120/940] lr: 1.0000e-02 eta: 13:05:00 time: 0.5461 data_time: 0.0329 memory: 31836 grad_norm: 3.7928 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7726 loss: 1.7726 2022/10/13 21:45:17 - mmengine - INFO - Epoch(train) [10][140/940] lr: 1.0000e-02 eta: 13:04:49 time: 0.5517 data_time: 0.0292 memory: 31836 grad_norm: 3.8432 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.8697 loss: 1.8697 2022/10/13 21:45:28 - mmengine - INFO - Epoch(train) [10][160/940] lr: 1.0000e-02 eta: 13:04:38 time: 0.5516 data_time: 0.0314 memory: 31836 grad_norm: 3.7365 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6695 loss: 1.6695 2022/10/13 21:45:39 - mmengine - INFO - Epoch(train) [10][180/940] lr: 1.0000e-02 eta: 13:04:24 time: 0.5352 data_time: 0.0234 memory: 31836 grad_norm: 3.7243 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6715 loss: 1.6715 2022/10/13 21:45:50 - mmengine - INFO - Epoch(train) [10][200/940] lr: 1.0000e-02 eta: 13:04:13 time: 0.5534 data_time: 0.0270 memory: 31836 grad_norm: 3.7474 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6475 loss: 1.6475 2022/10/13 21:46:01 - mmengine - INFO - Epoch(train) [10][220/940] lr: 1.0000e-02 eta: 13:04:03 time: 0.5557 data_time: 0.0279 memory: 31836 grad_norm: 3.7732 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7360 loss: 1.7360 2022/10/13 21:46:12 - mmengine - INFO - Epoch(train) [10][240/940] lr: 1.0000e-02 eta: 13:03:53 time: 0.5557 data_time: 0.0288 memory: 31836 grad_norm: 3.7518 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.7797 loss: 1.7797 2022/10/13 21:46:23 - mmengine - INFO - Epoch(train) [10][260/940] lr: 1.0000e-02 eta: 13:03:40 time: 0.5452 data_time: 0.0271 memory: 31836 grad_norm: 3.6750 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.7366 loss: 1.7366 2022/10/13 21:46:34 - mmengine - INFO - Epoch(train) [10][280/940] lr: 1.0000e-02 eta: 13:03:32 time: 0.5633 data_time: 0.0407 memory: 31836 grad_norm: 3.7557 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7749 loss: 1.7749 2022/10/13 21:46:45 - mmengine - INFO - Epoch(train) [10][300/940] lr: 1.0000e-02 eta: 13:03:19 time: 0.5437 data_time: 0.0244 memory: 31836 grad_norm: 3.7055 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7325 loss: 1.7325 2022/10/13 21:46:56 - mmengine - INFO - Epoch(train) [10][320/940] lr: 1.0000e-02 eta: 13:03:06 time: 0.5405 data_time: 0.0270 memory: 31836 grad_norm: 3.6804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8859 loss: 1.8859 2022/10/13 21:47:07 - mmengine - INFO - Epoch(train) [10][340/940] lr: 1.0000e-02 eta: 13:02:56 time: 0.5543 data_time: 0.0357 memory: 31836 grad_norm: 3.7218 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8414 loss: 1.8414 2022/10/13 21:47:18 - mmengine - INFO - Epoch(train) [10][360/940] lr: 1.0000e-02 eta: 13:02:44 time: 0.5488 data_time: 0.0259 memory: 31836 grad_norm: 3.7252 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6886 loss: 1.6886 2022/10/13 21:47:29 - mmengine - INFO - Epoch(train) [10][380/940] lr: 1.0000e-02 eta: 13:02:31 time: 0.5394 data_time: 0.0261 memory: 31836 grad_norm: 3.8324 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.8700 loss: 1.8700 2022/10/13 21:47:39 - mmengine - INFO - Epoch(train) [10][400/940] lr: 1.0000e-02 eta: 13:02:19 time: 0.5472 data_time: 0.0310 memory: 31836 grad_norm: 3.7404 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9338 loss: 1.9338 2022/10/13 21:47:50 - mmengine - INFO - Epoch(train) [10][420/940] lr: 1.0000e-02 eta: 13:02:07 time: 0.5461 data_time: 0.0311 memory: 31836 grad_norm: 3.7306 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9154 loss: 1.9154 2022/10/13 21:48:02 - mmengine - INFO - Epoch(train) [10][440/940] lr: 1.0000e-02 eta: 13:01:57 time: 0.5587 data_time: 0.0301 memory: 31836 grad_norm: 3.7350 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.9167 loss: 1.9167 2022/10/13 21:48:12 - mmengine - INFO - Epoch(train) [10][460/940] lr: 1.0000e-02 eta: 13:01:45 time: 0.5432 data_time: 0.0276 memory: 31836 grad_norm: 3.7374 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.7488 loss: 1.7488 2022/10/13 21:48:23 - mmengine - INFO - Epoch(train) [10][480/940] lr: 1.0000e-02 eta: 13:01:33 time: 0.5463 data_time: 0.0270 memory: 31836 grad_norm: 3.7365 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.6532 loss: 1.6532 2022/10/13 21:48:34 - mmengine - INFO - Epoch(train) [10][500/940] lr: 1.0000e-02 eta: 13:01:21 time: 0.5454 data_time: 0.0288 memory: 31836 grad_norm: 3.7145 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6595 loss: 1.6595 2022/10/13 21:48:45 - mmengine - INFO - Epoch(train) [10][520/940] lr: 1.0000e-02 eta: 13:01:09 time: 0.5473 data_time: 0.0287 memory: 31836 grad_norm: 3.7700 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.8798 loss: 1.8798 2022/10/13 21:48:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:48:56 - mmengine - INFO - Epoch(train) [10][540/940] lr: 1.0000e-02 eta: 13:00:57 time: 0.5475 data_time: 0.0327 memory: 31836 grad_norm: 3.7171 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.8599 loss: 1.8599 2022/10/13 21:49:07 - mmengine - INFO - Epoch(train) [10][560/940] lr: 1.0000e-02 eta: 13:00:44 time: 0.5412 data_time: 0.0284 memory: 31836 grad_norm: 3.7062 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7694 loss: 1.7694 2022/10/13 21:49:18 - mmengine - INFO - Epoch(train) [10][580/940] lr: 1.0000e-02 eta: 13:00:33 time: 0.5513 data_time: 0.0282 memory: 31836 grad_norm: 3.7166 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7728 loss: 1.7728 2022/10/13 21:49:29 - mmengine - INFO - Epoch(train) [10][600/940] lr: 1.0000e-02 eta: 13:00:21 time: 0.5458 data_time: 0.0286 memory: 31836 grad_norm: 3.6294 top1_acc: 0.6875 top5_acc: 0.7188 loss_cls: 1.7434 loss: 1.7434 2022/10/13 21:49:40 - mmengine - INFO - Epoch(train) [10][620/940] lr: 1.0000e-02 eta: 13:00:09 time: 0.5466 data_time: 0.0270 memory: 31836 grad_norm: 3.7436 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.8422 loss: 1.8422 2022/10/13 21:49:51 - mmengine - INFO - Epoch(train) [10][640/940] lr: 1.0000e-02 eta: 12:59:59 time: 0.5534 data_time: 0.0293 memory: 31836 grad_norm: 3.7341 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.8428 loss: 1.8428 2022/10/13 21:50:02 - mmengine - INFO - Epoch(train) [10][660/940] lr: 1.0000e-02 eta: 12:59:45 time: 0.5395 data_time: 0.0277 memory: 31836 grad_norm: 3.7662 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9830 loss: 1.9830 2022/10/13 21:50:13 - mmengine - INFO - Epoch(train) [10][680/940] lr: 1.0000e-02 eta: 12:59:33 time: 0.5418 data_time: 0.0294 memory: 31836 grad_norm: 3.7171 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.8735 loss: 1.8735 2022/10/13 21:50:23 - mmengine - INFO - Epoch(train) [10][700/940] lr: 1.0000e-02 eta: 12:59:19 time: 0.5396 data_time: 0.0290 memory: 31836 grad_norm: 3.6972 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6870 loss: 1.6870 2022/10/13 21:50:34 - mmengine - INFO - Epoch(train) [10][720/940] lr: 1.0000e-02 eta: 12:59:08 time: 0.5474 data_time: 0.0294 memory: 31836 grad_norm: 3.8345 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8344 loss: 1.8344 2022/10/13 21:50:45 - mmengine - INFO - Epoch(train) [10][740/940] lr: 1.0000e-02 eta: 12:58:55 time: 0.5418 data_time: 0.0355 memory: 31836 grad_norm: 3.7717 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.7536 loss: 1.7536 2022/10/13 21:50:56 - mmengine - INFO - Epoch(train) [10][760/940] lr: 1.0000e-02 eta: 12:58:43 time: 0.5453 data_time: 0.0308 memory: 31836 grad_norm: 3.6900 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8389 loss: 1.8389 2022/10/13 21:51:07 - mmengine - INFO - Epoch(train) [10][780/940] lr: 1.0000e-02 eta: 12:58:30 time: 0.5410 data_time: 0.0304 memory: 31836 grad_norm: 3.7606 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.8789 loss: 1.8789 2022/10/13 21:51:18 - mmengine - INFO - Epoch(train) [10][800/940] lr: 1.0000e-02 eta: 12:58:20 time: 0.5551 data_time: 0.0313 memory: 31836 grad_norm: 3.7167 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7237 loss: 1.7237 2022/10/13 21:51:29 - mmengine - INFO - Epoch(train) [10][820/940] lr: 1.0000e-02 eta: 12:58:08 time: 0.5496 data_time: 0.0281 memory: 31836 grad_norm: 3.7037 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6247 loss: 1.6247 2022/10/13 21:51:40 - mmengine - INFO - Epoch(train) [10][840/940] lr: 1.0000e-02 eta: 12:57:55 time: 0.5374 data_time: 0.0223 memory: 31836 grad_norm: 3.7391 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7240 loss: 1.7240 2022/10/13 21:51:51 - mmengine - INFO - Epoch(train) [10][860/940] lr: 1.0000e-02 eta: 12:57:44 time: 0.5521 data_time: 0.0365 memory: 31836 grad_norm: 3.7589 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7461 loss: 1.7461 2022/10/13 21:52:02 - mmengine - INFO - Epoch(train) [10][880/940] lr: 1.0000e-02 eta: 12:57:31 time: 0.5381 data_time: 0.0299 memory: 31836 grad_norm: 3.8596 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7883 loss: 1.7883 2022/10/13 21:52:12 - mmengine - INFO - Epoch(train) [10][900/940] lr: 1.0000e-02 eta: 12:57:18 time: 0.5441 data_time: 0.0282 memory: 31836 grad_norm: 3.7316 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7866 loss: 1.7866 2022/10/13 21:52:23 - mmengine - INFO - Epoch(train) [10][920/940] lr: 1.0000e-02 eta: 12:57:07 time: 0.5501 data_time: 0.0332 memory: 31836 grad_norm: 3.7638 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6324 loss: 1.6324 2022/10/13 21:52:34 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:52:34 - mmengine - INFO - Epoch(train) [10][940/940] lr: 1.0000e-02 eta: 12:56:48 time: 0.5073 data_time: 0.0253 memory: 31836 grad_norm: 4.0393 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8557 loss: 1.8557 2022/10/13 21:52:46 - mmengine - INFO - Epoch(val) [10][20/78] eta: 0:00:36 time: 0.6207 data_time: 0.4694 memory: 3561 2022/10/13 21:52:55 - mmengine - INFO - Epoch(val) [10][40/78] eta: 0:00:17 time: 0.4635 data_time: 0.3172 memory: 3561 2022/10/13 21:53:06 - mmengine - INFO - Epoch(val) [10][60/78] eta: 0:00:09 time: 0.5517 data_time: 0.4025 memory: 3561 2022/10/13 21:53:17 - mmengine - INFO - Epoch(val) [10][78/78] acc/top1: 0.6397 acc/top5: 0.8561 acc/mean1: 0.6396 2022/10/13 21:53:17 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_9.pth is removed 2022/10/13 21:53:18 - mmengine - INFO - The best checkpoint with 0.6397 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/10/13 21:53:33 - mmengine - INFO - Epoch(train) [11][20/940] lr: 1.0000e-02 eta: 12:57:14 time: 0.7551 data_time: 0.1833 memory: 31836 grad_norm: 3.7347 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.7203 loss: 1.7203 2022/10/13 21:53:44 - mmengine - INFO - Epoch(train) [11][40/940] lr: 1.0000e-02 eta: 12:57:03 time: 0.5529 data_time: 0.0307 memory: 31836 grad_norm: 3.7934 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7876 loss: 1.7876 2022/10/13 21:53:55 - mmengine - INFO - Epoch(train) [11][60/940] lr: 1.0000e-02 eta: 12:56:52 time: 0.5504 data_time: 0.0286 memory: 31836 grad_norm: 3.7360 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.6568 loss: 1.6568 2022/10/13 21:54:06 - mmengine - INFO - Epoch(train) [11][80/940] lr: 1.0000e-02 eta: 12:56:39 time: 0.5425 data_time: 0.0290 memory: 31836 grad_norm: 3.7475 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.6868 loss: 1.6868 2022/10/13 21:54:17 - mmengine - INFO - Epoch(train) [11][100/940] lr: 1.0000e-02 eta: 12:56:29 time: 0.5538 data_time: 0.0263 memory: 31836 grad_norm: 3.7330 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5954 loss: 1.5954 2022/10/13 21:54:28 - mmengine - INFO - Epoch(train) [11][120/940] lr: 1.0000e-02 eta: 12:56:16 time: 0.5417 data_time: 0.0266 memory: 31836 grad_norm: 3.7991 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7712 loss: 1.7712 2022/10/13 21:54:39 - mmengine - INFO - Epoch(train) [11][140/940] lr: 1.0000e-02 eta: 12:56:04 time: 0.5452 data_time: 0.0258 memory: 31836 grad_norm: 3.8328 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7174 loss: 1.7174 2022/10/13 21:54:50 - mmengine - INFO - Epoch(train) [11][160/940] lr: 1.0000e-02 eta: 12:55:53 time: 0.5521 data_time: 0.0261 memory: 31836 grad_norm: 3.8032 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8818 loss: 1.8818 2022/10/13 21:55:01 - mmengine - INFO - Epoch(train) [11][180/940] lr: 1.0000e-02 eta: 12:55:41 time: 0.5451 data_time: 0.0287 memory: 31836 grad_norm: 3.8596 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7735 loss: 1.7735 2022/10/13 21:55:11 - mmengine - INFO - Epoch(train) [11][200/940] lr: 1.0000e-02 eta: 12:55:28 time: 0.5401 data_time: 0.0284 memory: 31836 grad_norm: 3.6946 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.7064 loss: 1.7064 2022/10/13 21:55:22 - mmengine - INFO - Epoch(train) [11][220/940] lr: 1.0000e-02 eta: 12:55:16 time: 0.5462 data_time: 0.0305 memory: 31836 grad_norm: 3.8170 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7902 loss: 1.7902 2022/10/13 21:55:33 - mmengine - INFO - Epoch(train) [11][240/940] lr: 1.0000e-02 eta: 12:55:05 time: 0.5515 data_time: 0.0350 memory: 31836 grad_norm: 3.7600 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6697 loss: 1.6697 2022/10/13 21:55:44 - mmengine - INFO - Epoch(train) [11][260/940] lr: 1.0000e-02 eta: 12:54:52 time: 0.5387 data_time: 0.0279 memory: 31836 grad_norm: 3.8419 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6990 loss: 1.6990 2022/10/13 21:55:55 - mmengine - INFO - Epoch(train) [11][280/940] lr: 1.0000e-02 eta: 12:54:40 time: 0.5449 data_time: 0.0268 memory: 31836 grad_norm: 3.7715 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.7954 loss: 1.7954 2022/10/13 21:56:06 - mmengine - INFO - Epoch(train) [11][300/940] lr: 1.0000e-02 eta: 12:54:29 time: 0.5515 data_time: 0.0274 memory: 31836 grad_norm: 3.7196 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6075 loss: 1.6075 2022/10/13 21:56:17 - mmengine - INFO - Epoch(train) [11][320/940] lr: 1.0000e-02 eta: 12:54:16 time: 0.5418 data_time: 0.0264 memory: 31836 grad_norm: 3.8111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7536 loss: 1.7536 2022/10/13 21:56:28 - mmengine - INFO - Epoch(train) [11][340/940] lr: 1.0000e-02 eta: 12:54:05 time: 0.5493 data_time: 0.0269 memory: 31836 grad_norm: 3.7777 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7938 loss: 1.7938 2022/10/13 21:56:39 - mmengine - INFO - Epoch(train) [11][360/940] lr: 1.0000e-02 eta: 12:53:53 time: 0.5492 data_time: 0.0289 memory: 31836 grad_norm: 3.7479 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8981 loss: 1.8981 2022/10/13 21:56:50 - mmengine - INFO - Epoch(train) [11][380/940] lr: 1.0000e-02 eta: 12:53:42 time: 0.5470 data_time: 0.0344 memory: 31836 grad_norm: 3.7097 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.6384 loss: 1.6384 2022/10/13 21:57:01 - mmengine - INFO - Epoch(train) [11][400/940] lr: 1.0000e-02 eta: 12:53:28 time: 0.5353 data_time: 0.0311 memory: 31836 grad_norm: 3.7401 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6317 loss: 1.6317 2022/10/13 21:57:11 - mmengine - INFO - Epoch(train) [11][420/940] lr: 1.0000e-02 eta: 12:53:15 time: 0.5405 data_time: 0.0254 memory: 31836 grad_norm: 3.7716 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 1.7435 loss: 1.7435 2022/10/13 21:57:22 - mmengine - INFO - Epoch(train) [11][440/940] lr: 1.0000e-02 eta: 12:53:03 time: 0.5448 data_time: 0.0303 memory: 31836 grad_norm: 3.6844 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6728 loss: 1.6728 2022/10/13 21:57:33 - mmengine - INFO - Epoch(train) [11][460/940] lr: 1.0000e-02 eta: 12:52:50 time: 0.5412 data_time: 0.0298 memory: 31836 grad_norm: 3.8147 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7833 loss: 1.7833 2022/10/13 21:57:44 - mmengine - INFO - Epoch(train) [11][480/940] lr: 1.0000e-02 eta: 12:52:39 time: 0.5502 data_time: 0.0242 memory: 31836 grad_norm: 3.7164 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7638 loss: 1.7638 2022/10/13 21:57:55 - mmengine - INFO - Epoch(train) [11][500/940] lr: 1.0000e-02 eta: 12:52:26 time: 0.5408 data_time: 0.0243 memory: 31836 grad_norm: 3.8421 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6187 loss: 1.6187 2022/10/13 21:58:06 - mmengine - INFO - Epoch(train) [11][520/940] lr: 1.0000e-02 eta: 12:52:15 time: 0.5496 data_time: 0.0303 memory: 31836 grad_norm: 3.7799 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6287 loss: 1.6287 2022/10/13 21:58:17 - mmengine - INFO - Epoch(train) [11][540/940] lr: 1.0000e-02 eta: 12:52:03 time: 0.5436 data_time: 0.0238 memory: 31836 grad_norm: 3.7973 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7973 loss: 1.7973 2022/10/13 21:58:28 - mmengine - INFO - Epoch(train) [11][560/940] lr: 1.0000e-02 eta: 12:51:52 time: 0.5508 data_time: 0.0251 memory: 31836 grad_norm: 3.8024 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7731 loss: 1.7731 2022/10/13 21:58:39 - mmengine - INFO - Epoch(train) [11][580/940] lr: 1.0000e-02 eta: 12:51:40 time: 0.5492 data_time: 0.0284 memory: 31836 grad_norm: 3.7633 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.7019 loss: 1.7019 2022/10/13 21:58:50 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 21:58:50 - mmengine - INFO - Epoch(train) [11][600/940] lr: 1.0000e-02 eta: 12:51:28 time: 0.5415 data_time: 0.0302 memory: 31836 grad_norm: 3.7455 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7497 loss: 1.7497 2022/10/13 21:59:00 - mmengine - INFO - Epoch(train) [11][620/940] lr: 1.0000e-02 eta: 12:51:15 time: 0.5426 data_time: 0.0284 memory: 31836 grad_norm: 3.7150 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8025 loss: 1.8025 2022/10/13 21:59:11 - mmengine - INFO - Epoch(train) [11][640/940] lr: 1.0000e-02 eta: 12:51:03 time: 0.5453 data_time: 0.0286 memory: 31836 grad_norm: 3.7935 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8824 loss: 1.8824 2022/10/13 21:59:22 - mmengine - INFO - Epoch(train) [11][660/940] lr: 1.0000e-02 eta: 12:50:50 time: 0.5377 data_time: 0.0261 memory: 31836 grad_norm: 3.8068 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.8571 loss: 1.8571 2022/10/13 21:59:33 - mmengine - INFO - Epoch(train) [11][680/940] lr: 1.0000e-02 eta: 12:50:39 time: 0.5531 data_time: 0.0298 memory: 31836 grad_norm: 3.7651 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7064 loss: 1.7064 2022/10/13 21:59:45 - mmengine - INFO - Epoch(train) [11][700/940] lr: 1.0000e-02 eta: 12:50:35 time: 0.5919 data_time: 0.0242 memory: 31836 grad_norm: 3.8806 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7823 loss: 1.7823 2022/10/13 21:59:56 - mmengine - INFO - Epoch(train) [11][720/940] lr: 1.0000e-02 eta: 12:50:24 time: 0.5500 data_time: 0.0301 memory: 31836 grad_norm: 3.8412 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7883 loss: 1.7883 2022/10/13 22:00:07 - mmengine - INFO - Epoch(train) [11][740/940] lr: 1.0000e-02 eta: 12:50:10 time: 0.5361 data_time: 0.0263 memory: 31836 grad_norm: 3.7689 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6423 loss: 1.6423 2022/10/13 22:00:18 - mmengine - INFO - Epoch(train) [11][760/940] lr: 1.0000e-02 eta: 12:49:58 time: 0.5395 data_time: 0.0248 memory: 31836 grad_norm: 3.7291 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6766 loss: 1.6766 2022/10/13 22:00:28 - mmengine - INFO - Epoch(train) [11][780/940] lr: 1.0000e-02 eta: 12:49:44 time: 0.5349 data_time: 0.0271 memory: 31836 grad_norm: 3.8281 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7473 loss: 1.7473 2022/10/13 22:00:39 - mmengine - INFO - Epoch(train) [11][800/940] lr: 1.0000e-02 eta: 12:49:33 time: 0.5506 data_time: 0.0303 memory: 31836 grad_norm: 3.7960 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.7850 loss: 1.7850 2022/10/13 22:00:50 - mmengine - INFO - Epoch(train) [11][820/940] lr: 1.0000e-02 eta: 12:49:19 time: 0.5355 data_time: 0.0257 memory: 31836 grad_norm: 3.8634 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.7212 loss: 1.7212 2022/10/13 22:01:01 - mmengine - INFO - Epoch(train) [11][840/940] lr: 1.0000e-02 eta: 12:49:07 time: 0.5459 data_time: 0.0271 memory: 31836 grad_norm: 3.7684 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8266 loss: 1.8266 2022/10/13 22:01:12 - mmengine - INFO - Epoch(train) [11][860/940] lr: 1.0000e-02 eta: 12:48:56 time: 0.5463 data_time: 0.0309 memory: 31836 grad_norm: 3.8039 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.8185 loss: 1.8185 2022/10/13 22:01:23 - mmengine - INFO - Epoch(train) [11][880/940] lr: 1.0000e-02 eta: 12:48:42 time: 0.5372 data_time: 0.0281 memory: 31836 grad_norm: 3.7971 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7117 loss: 1.7117 2022/10/13 22:01:34 - mmengine - INFO - Epoch(train) [11][900/940] lr: 1.0000e-02 eta: 12:48:32 time: 0.5561 data_time: 0.0270 memory: 31836 grad_norm: 3.8277 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.7693 loss: 1.7693 2022/10/13 22:01:45 - mmengine - INFO - Epoch(train) [11][920/940] lr: 1.0000e-02 eta: 12:48:20 time: 0.5430 data_time: 0.0313 memory: 31836 grad_norm: 3.7987 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.8065 loss: 1.8065 2022/10/13 22:01:55 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:01:55 - mmengine - INFO - Epoch(train) [11][940/940] lr: 1.0000e-02 eta: 12:48:03 time: 0.5136 data_time: 0.0242 memory: 31836 grad_norm: 3.9164 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.9150 loss: 1.9150 2022/10/13 22:02:08 - mmengine - INFO - Epoch(val) [11][20/78] eta: 0:00:37 time: 0.6430 data_time: 0.4922 memory: 3561 2022/10/13 22:02:16 - mmengine - INFO - Epoch(val) [11][40/78] eta: 0:00:16 time: 0.4311 data_time: 0.2813 memory: 3561 2022/10/13 22:02:28 - mmengine - INFO - Epoch(val) [11][60/78] eta: 0:00:10 time: 0.5802 data_time: 0.4320 memory: 3561 2022/10/13 22:02:38 - mmengine - INFO - Epoch(val) [11][78/78] acc/top1: 0.6449 acc/top5: 0.8556 acc/mean1: 0.6447 2022/10/13 22:02:38 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_10.pth is removed 2022/10/13 22:02:39 - mmengine - INFO - The best checkpoint with 0.6449 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/10/13 22:02:57 - mmengine - INFO - Epoch(train) [12][20/940] lr: 1.0000e-02 eta: 12:48:45 time: 0.8815 data_time: 0.2137 memory: 31836 grad_norm: 3.7531 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6735 loss: 1.6735 2022/10/13 22:03:08 - mmengine - INFO - Epoch(train) [12][40/940] lr: 1.0000e-02 eta: 12:48:32 time: 0.5391 data_time: 0.0293 memory: 31836 grad_norm: 3.7565 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6785 loss: 1.6785 2022/10/13 22:03:18 - mmengine - INFO - Epoch(train) [12][60/940] lr: 1.0000e-02 eta: 12:48:19 time: 0.5386 data_time: 0.0290 memory: 31836 grad_norm: 3.6988 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7348 loss: 1.7348 2022/10/13 22:03:29 - mmengine - INFO - Epoch(train) [12][80/940] lr: 1.0000e-02 eta: 12:48:06 time: 0.5374 data_time: 0.0306 memory: 31836 grad_norm: 3.7685 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5526 loss: 1.5526 2022/10/13 22:03:40 - mmengine - INFO - Epoch(train) [12][100/940] lr: 1.0000e-02 eta: 12:47:54 time: 0.5465 data_time: 0.0267 memory: 31836 grad_norm: 3.8484 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.8013 loss: 1.8013 2022/10/13 22:03:51 - mmengine - INFO - Epoch(train) [12][120/940] lr: 1.0000e-02 eta: 12:47:42 time: 0.5433 data_time: 0.0229 memory: 31836 grad_norm: 3.7547 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6742 loss: 1.6742 2022/10/13 22:04:02 - mmengine - INFO - Epoch(train) [12][140/940] lr: 1.0000e-02 eta: 12:47:30 time: 0.5458 data_time: 0.0252 memory: 31836 grad_norm: 3.8031 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7963 loss: 1.7963 2022/10/13 22:04:13 - mmengine - INFO - Epoch(train) [12][160/940] lr: 1.0000e-02 eta: 12:47:17 time: 0.5410 data_time: 0.0244 memory: 31836 grad_norm: 3.7973 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7145 loss: 1.7145 2022/10/13 22:04:24 - mmengine - INFO - Epoch(train) [12][180/940] lr: 1.0000e-02 eta: 12:47:07 time: 0.5553 data_time: 0.0263 memory: 31836 grad_norm: 3.6626 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6969 loss: 1.6969 2022/10/13 22:04:35 - mmengine - INFO - Epoch(train) [12][200/940] lr: 1.0000e-02 eta: 12:46:54 time: 0.5438 data_time: 0.0317 memory: 31836 grad_norm: 3.8916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7315 loss: 1.7315 2022/10/13 22:04:46 - mmengine - INFO - Epoch(train) [12][220/940] lr: 1.0000e-02 eta: 12:46:42 time: 0.5428 data_time: 0.0314 memory: 31836 grad_norm: 3.7689 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8147 loss: 1.8147 2022/10/13 22:04:56 - mmengine - INFO - Epoch(train) [12][240/940] lr: 1.0000e-02 eta: 12:46:29 time: 0.5384 data_time: 0.0243 memory: 31836 grad_norm: 3.7392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7158 loss: 1.7158 2022/10/13 22:05:07 - mmengine - INFO - Epoch(train) [12][260/940] lr: 1.0000e-02 eta: 12:46:17 time: 0.5452 data_time: 0.0284 memory: 31836 grad_norm: 3.7798 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7832 loss: 1.7832 2022/10/13 22:05:18 - mmengine - INFO - Epoch(train) [12][280/940] lr: 1.0000e-02 eta: 12:46:05 time: 0.5435 data_time: 0.0255 memory: 31836 grad_norm: 3.8047 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7515 loss: 1.7515 2022/10/13 22:05:29 - mmengine - INFO - Epoch(train) [12][300/940] lr: 1.0000e-02 eta: 12:45:54 time: 0.5511 data_time: 0.0292 memory: 31836 grad_norm: 3.8013 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5894 loss: 1.5894 2022/10/13 22:05:40 - mmengine - INFO - Epoch(train) [12][320/940] lr: 1.0000e-02 eta: 12:45:42 time: 0.5506 data_time: 0.0278 memory: 31836 grad_norm: 3.7668 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6604 loss: 1.6604 2022/10/13 22:05:51 - mmengine - INFO - Epoch(train) [12][340/940] lr: 1.0000e-02 eta: 12:45:30 time: 0.5449 data_time: 0.0246 memory: 31836 grad_norm: 3.8192 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.6830 loss: 1.6830 2022/10/13 22:06:02 - mmengine - INFO - Epoch(train) [12][360/940] lr: 1.0000e-02 eta: 12:45:18 time: 0.5449 data_time: 0.0263 memory: 31836 grad_norm: 3.7354 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8224 loss: 1.8224 2022/10/13 22:06:13 - mmengine - INFO - Epoch(train) [12][380/940] lr: 1.0000e-02 eta: 12:45:07 time: 0.5466 data_time: 0.0276 memory: 31836 grad_norm: 3.8012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6920 loss: 1.6920 2022/10/13 22:06:24 - mmengine - INFO - Epoch(train) [12][400/940] lr: 1.0000e-02 eta: 12:44:54 time: 0.5392 data_time: 0.0287 memory: 31836 grad_norm: 3.8069 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.7428 loss: 1.7428 2022/10/13 22:06:34 - mmengine - INFO - Epoch(train) [12][420/940] lr: 1.0000e-02 eta: 12:44:41 time: 0.5398 data_time: 0.0290 memory: 31836 grad_norm: 3.8263 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.8162 loss: 1.8162 2022/10/13 22:06:45 - mmengine - INFO - Epoch(train) [12][440/940] lr: 1.0000e-02 eta: 12:44:29 time: 0.5460 data_time: 0.0277 memory: 31836 grad_norm: 3.8313 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6587 loss: 1.6587 2022/10/13 22:06:56 - mmengine - INFO - Epoch(train) [12][460/940] lr: 1.0000e-02 eta: 12:44:17 time: 0.5416 data_time: 0.0233 memory: 31836 grad_norm: 3.7679 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7060 loss: 1.7060 2022/10/13 22:07:07 - mmengine - INFO - Epoch(train) [12][480/940] lr: 1.0000e-02 eta: 12:44:04 time: 0.5434 data_time: 0.0331 memory: 31836 grad_norm: 3.8513 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6396 loss: 1.6396 2022/10/13 22:07:18 - mmengine - INFO - Epoch(train) [12][500/940] lr: 1.0000e-02 eta: 12:43:53 time: 0.5476 data_time: 0.0279 memory: 31836 grad_norm: 3.8780 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6432 loss: 1.6432 2022/10/13 22:07:29 - mmengine - INFO - Epoch(train) [12][520/940] lr: 1.0000e-02 eta: 12:43:40 time: 0.5403 data_time: 0.0284 memory: 31836 grad_norm: 3.8188 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7500 loss: 1.7500 2022/10/13 22:07:40 - mmengine - INFO - Epoch(train) [12][540/940] lr: 1.0000e-02 eta: 12:43:28 time: 0.5424 data_time: 0.0277 memory: 31836 grad_norm: 3.8050 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7188 loss: 1.7188 2022/10/13 22:07:50 - mmengine - INFO - Epoch(train) [12][560/940] lr: 1.0000e-02 eta: 12:43:15 time: 0.5375 data_time: 0.0282 memory: 31836 grad_norm: 3.8488 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6097 loss: 1.6097 2022/10/13 22:08:01 - mmengine - INFO - Epoch(train) [12][580/940] lr: 1.0000e-02 eta: 12:43:02 time: 0.5401 data_time: 0.0289 memory: 31836 grad_norm: 3.8756 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7238 loss: 1.7238 2022/10/13 22:08:12 - mmengine - INFO - Epoch(train) [12][600/940] lr: 1.0000e-02 eta: 12:42:50 time: 0.5470 data_time: 0.0282 memory: 31836 grad_norm: 3.8140 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7826 loss: 1.7826 2022/10/13 22:08:23 - mmengine - INFO - Epoch(train) [12][620/940] lr: 1.0000e-02 eta: 12:42:38 time: 0.5432 data_time: 0.0309 memory: 31836 grad_norm: 3.8261 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5972 loss: 1.5972 2022/10/13 22:08:34 - mmengine - INFO - Epoch(train) [12][640/940] lr: 1.0000e-02 eta: 12:42:26 time: 0.5435 data_time: 0.0243 memory: 31836 grad_norm: 3.7797 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6039 loss: 1.6039 2022/10/13 22:08:45 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:08:45 - mmengine - INFO - Epoch(train) [12][660/940] lr: 1.0000e-02 eta: 12:42:13 time: 0.5396 data_time: 0.0248 memory: 31836 grad_norm: 3.7906 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6171 loss: 1.6171 2022/10/13 22:08:56 - mmengine - INFO - Epoch(train) [12][680/940] lr: 1.0000e-02 eta: 12:42:01 time: 0.5454 data_time: 0.0286 memory: 31836 grad_norm: 3.8033 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7201 loss: 1.7201 2022/10/13 22:09:06 - mmengine - INFO - Epoch(train) [12][700/940] lr: 1.0000e-02 eta: 12:41:49 time: 0.5408 data_time: 0.0249 memory: 31836 grad_norm: 3.8777 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/10/13 22:09:17 - mmengine - INFO - Epoch(train) [12][720/940] lr: 1.0000e-02 eta: 12:41:37 time: 0.5432 data_time: 0.0315 memory: 31836 grad_norm: 3.8348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7596 loss: 1.7596 2022/10/13 22:09:28 - mmengine - INFO - Epoch(train) [12][740/940] lr: 1.0000e-02 eta: 12:41:24 time: 0.5425 data_time: 0.0283 memory: 31836 grad_norm: 3.7768 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6980 loss: 1.6980 2022/10/13 22:09:39 - mmengine - INFO - Epoch(train) [12][760/940] lr: 1.0000e-02 eta: 12:41:11 time: 0.5358 data_time: 0.0255 memory: 31836 grad_norm: 3.8854 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9089 loss: 1.9089 2022/10/13 22:09:50 - mmengine - INFO - Epoch(train) [12][780/940] lr: 1.0000e-02 eta: 12:40:59 time: 0.5406 data_time: 0.0306 memory: 31836 grad_norm: 3.7108 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8124 loss: 1.8124 2022/10/13 22:10:00 - mmengine - INFO - Epoch(train) [12][800/940] lr: 1.0000e-02 eta: 12:40:46 time: 0.5391 data_time: 0.0254 memory: 31836 grad_norm: 3.9026 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6898 loss: 1.6898 2022/10/13 22:10:11 - mmengine - INFO - Epoch(train) [12][820/940] lr: 1.0000e-02 eta: 12:40:34 time: 0.5441 data_time: 0.0297 memory: 31836 grad_norm: 3.8786 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.7107 loss: 1.7107 2022/10/13 22:10:22 - mmengine - INFO - Epoch(train) [12][840/940] lr: 1.0000e-02 eta: 12:40:22 time: 0.5448 data_time: 0.0234 memory: 31836 grad_norm: 3.8174 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6617 loss: 1.6617 2022/10/13 22:10:33 - mmengine - INFO - Epoch(train) [12][860/940] lr: 1.0000e-02 eta: 12:40:09 time: 0.5366 data_time: 0.0277 memory: 31836 grad_norm: 3.8163 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7789 loss: 1.7789 2022/10/13 22:10:44 - mmengine - INFO - Epoch(train) [12][880/940] lr: 1.0000e-02 eta: 12:39:57 time: 0.5452 data_time: 0.0268 memory: 31836 grad_norm: 3.8110 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7034 loss: 1.7034 2022/10/13 22:10:55 - mmengine - INFO - Epoch(train) [12][900/940] lr: 1.0000e-02 eta: 12:39:45 time: 0.5426 data_time: 0.0305 memory: 31836 grad_norm: 3.8845 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7527 loss: 1.7527 2022/10/13 22:11:06 - mmengine - INFO - Epoch(train) [12][920/940] lr: 1.0000e-02 eta: 12:39:33 time: 0.5454 data_time: 0.0300 memory: 31836 grad_norm: 3.8256 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.7361 loss: 1.7361 2022/10/13 22:11:16 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:11:16 - mmengine - INFO - Epoch(train) [12][940/940] lr: 1.0000e-02 eta: 12:39:17 time: 0.5155 data_time: 0.0227 memory: 31836 grad_norm: 3.8878 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.7110 loss: 1.7110 2022/10/13 22:11:16 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/10/13 22:11:30 - mmengine - INFO - Epoch(val) [12][20/78] eta: 0:00:37 time: 0.6541 data_time: 0.5053 memory: 3561 2022/10/13 22:11:38 - mmengine - INFO - Epoch(val) [12][40/78] eta: 0:00:15 time: 0.4019 data_time: 0.2524 memory: 3561 2022/10/13 22:11:50 - mmengine - INFO - Epoch(val) [12][60/78] eta: 0:00:10 time: 0.5675 data_time: 0.4199 memory: 3561 2022/10/13 22:12:01 - mmengine - INFO - Epoch(val) [12][78/78] acc/top1: 0.6482 acc/top5: 0.8568 acc/mean1: 0.6480 2022/10/13 22:12:01 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_11.pth is removed 2022/10/13 22:12:02 - mmengine - INFO - The best checkpoint with 0.6482 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/10/13 22:12:17 - mmengine - INFO - Epoch(train) [13][20/940] lr: 1.0000e-02 eta: 12:39:40 time: 0.7855 data_time: 0.2201 memory: 31836 grad_norm: 3.7654 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6746 loss: 1.6746 2022/10/13 22:12:28 - mmengine - INFO - Epoch(train) [13][40/940] lr: 1.0000e-02 eta: 12:39:30 time: 0.5563 data_time: 0.0287 memory: 31836 grad_norm: 3.7714 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8166 loss: 1.8166 2022/10/13 22:12:39 - mmengine - INFO - Epoch(train) [13][60/940] lr: 1.0000e-02 eta: 12:39:18 time: 0.5452 data_time: 0.0315 memory: 31836 grad_norm: 3.7413 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6332 loss: 1.6332 2022/10/13 22:12:50 - mmengine - INFO - Epoch(train) [13][80/940] lr: 1.0000e-02 eta: 12:39:07 time: 0.5502 data_time: 0.0294 memory: 31836 grad_norm: 3.7629 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.5258 loss: 1.5258 2022/10/13 22:13:01 - mmengine - INFO - Epoch(train) [13][100/940] lr: 1.0000e-02 eta: 12:38:54 time: 0.5418 data_time: 0.0287 memory: 31836 grad_norm: 3.9405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6437 loss: 1.6437 2022/10/13 22:13:12 - mmengine - INFO - Epoch(train) [13][120/940] lr: 1.0000e-02 eta: 12:38:43 time: 0.5466 data_time: 0.0277 memory: 31836 grad_norm: 3.6951 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6052 loss: 1.6052 2022/10/13 22:13:23 - mmengine - INFO - Epoch(train) [13][140/940] lr: 1.0000e-02 eta: 12:38:31 time: 0.5458 data_time: 0.0329 memory: 31836 grad_norm: 3.8814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6452 loss: 1.6452 2022/10/13 22:13:34 - mmengine - INFO - Epoch(train) [13][160/940] lr: 1.0000e-02 eta: 12:38:18 time: 0.5386 data_time: 0.0250 memory: 31836 grad_norm: 3.8523 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6710 loss: 1.6710 2022/10/13 22:13:44 - mmengine - INFO - Epoch(train) [13][180/940] lr: 1.0000e-02 eta: 12:38:05 time: 0.5377 data_time: 0.0279 memory: 31836 grad_norm: 3.8638 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.7224 loss: 1.7224 2022/10/13 22:13:55 - mmengine - INFO - Epoch(train) [13][200/940] lr: 1.0000e-02 eta: 12:37:52 time: 0.5404 data_time: 0.0287 memory: 31836 grad_norm: 3.8287 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5862 loss: 1.5862 2022/10/13 22:14:06 - mmengine - INFO - Epoch(train) [13][220/940] lr: 1.0000e-02 eta: 12:37:40 time: 0.5398 data_time: 0.0292 memory: 31836 grad_norm: 3.7910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6987 loss: 1.6987 2022/10/13 22:14:17 - mmengine - INFO - Epoch(train) [13][240/940] lr: 1.0000e-02 eta: 12:37:27 time: 0.5358 data_time: 0.0260 memory: 31836 grad_norm: 3.8881 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7042 loss: 1.7042 2022/10/13 22:14:28 - mmengine - INFO - Epoch(train) [13][260/940] lr: 1.0000e-02 eta: 12:37:15 time: 0.5487 data_time: 0.0247 memory: 31836 grad_norm: 3.8461 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6750 loss: 1.6750 2022/10/13 22:14:39 - mmengine - INFO - Epoch(train) [13][280/940] lr: 1.0000e-02 eta: 12:37:02 time: 0.5372 data_time: 0.0283 memory: 31836 grad_norm: 3.8266 top1_acc: 0.2812 top5_acc: 0.6562 loss_cls: 1.7558 loss: 1.7558 2022/10/13 22:14:49 - mmengine - INFO - Epoch(train) [13][300/940] lr: 1.0000e-02 eta: 12:36:51 time: 0.5480 data_time: 0.0267 memory: 31836 grad_norm: 3.8141 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6566 loss: 1.6566 2022/10/13 22:15:00 - mmengine - INFO - Epoch(train) [13][320/940] lr: 1.0000e-02 eta: 12:36:38 time: 0.5355 data_time: 0.0256 memory: 31836 grad_norm: 3.8560 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6479 loss: 1.6479 2022/10/13 22:15:11 - mmengine - INFO - Epoch(train) [13][340/940] lr: 1.0000e-02 eta: 12:36:26 time: 0.5461 data_time: 0.0354 memory: 31836 grad_norm: 3.8231 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7768 loss: 1.7768 2022/10/13 22:15:22 - mmengine - INFO - Epoch(train) [13][360/940] lr: 1.0000e-02 eta: 12:36:14 time: 0.5451 data_time: 0.0244 memory: 31836 grad_norm: 3.8430 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 1.8306 loss: 1.8306 2022/10/13 22:15:33 - mmengine - INFO - Epoch(train) [13][380/940] lr: 1.0000e-02 eta: 12:36:02 time: 0.5444 data_time: 0.0280 memory: 31836 grad_norm: 3.8599 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7173 loss: 1.7173 2022/10/13 22:15:44 - mmengine - INFO - Epoch(train) [13][400/940] lr: 1.0000e-02 eta: 12:35:49 time: 0.5374 data_time: 0.0251 memory: 31836 grad_norm: 3.8764 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8287 loss: 1.8287 2022/10/13 22:15:55 - mmengine - INFO - Epoch(train) [13][420/940] lr: 1.0000e-02 eta: 12:35:37 time: 0.5451 data_time: 0.0255 memory: 31836 grad_norm: 3.7616 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7087 loss: 1.7087 2022/10/13 22:16:06 - mmengine - INFO - Epoch(train) [13][440/940] lr: 1.0000e-02 eta: 12:35:26 time: 0.5483 data_time: 0.0341 memory: 31836 grad_norm: 3.7684 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5496 loss: 1.5496 2022/10/13 22:16:17 - mmengine - INFO - Epoch(train) [13][460/940] lr: 1.0000e-02 eta: 12:35:15 time: 0.5505 data_time: 0.0330 memory: 31836 grad_norm: 3.8850 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7830 loss: 1.7830 2022/10/13 22:16:27 - mmengine - INFO - Epoch(train) [13][480/940] lr: 1.0000e-02 eta: 12:35:03 time: 0.5419 data_time: 0.0247 memory: 31836 grad_norm: 3.8400 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6968 loss: 1.6968 2022/10/13 22:16:38 - mmengine - INFO - Epoch(train) [13][500/940] lr: 1.0000e-02 eta: 12:34:52 time: 0.5520 data_time: 0.0343 memory: 31836 grad_norm: 3.8513 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6877 loss: 1.6877 2022/10/13 22:16:49 - mmengine - INFO - Epoch(train) [13][520/940] lr: 1.0000e-02 eta: 12:34:40 time: 0.5444 data_time: 0.0241 memory: 31836 grad_norm: 3.8287 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6777 loss: 1.6777 2022/10/13 22:17:00 - mmengine - INFO - Epoch(train) [13][540/940] lr: 1.0000e-02 eta: 12:34:29 time: 0.5486 data_time: 0.0280 memory: 31836 grad_norm: 3.9697 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7888 loss: 1.7888 2022/10/13 22:17:11 - mmengine - INFO - Epoch(train) [13][560/940] lr: 1.0000e-02 eta: 12:34:18 time: 0.5510 data_time: 0.0281 memory: 31836 grad_norm: 3.9067 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6299 loss: 1.6299 2022/10/13 22:17:22 - mmengine - INFO - Epoch(train) [13][580/940] lr: 1.0000e-02 eta: 12:34:07 time: 0.5504 data_time: 0.0351 memory: 31836 grad_norm: 3.8822 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5721 loss: 1.5721 2022/10/13 22:17:33 - mmengine - INFO - Epoch(train) [13][600/940] lr: 1.0000e-02 eta: 12:33:55 time: 0.5465 data_time: 0.0310 memory: 31836 grad_norm: 3.8180 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7134 loss: 1.7134 2022/10/13 22:17:44 - mmengine - INFO - Epoch(train) [13][620/940] lr: 1.0000e-02 eta: 12:33:42 time: 0.5401 data_time: 0.0299 memory: 31836 grad_norm: 3.8296 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.7984 loss: 1.7984 2022/10/13 22:17:55 - mmengine - INFO - Epoch(train) [13][640/940] lr: 1.0000e-02 eta: 12:33:31 time: 0.5449 data_time: 0.0239 memory: 31836 grad_norm: 3.9443 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8568 loss: 1.8568 2022/10/13 22:18:06 - mmengine - INFO - Epoch(train) [13][660/940] lr: 1.0000e-02 eta: 12:33:18 time: 0.5413 data_time: 0.0281 memory: 31836 grad_norm: 3.7956 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5370 loss: 1.5370 2022/10/13 22:18:17 - mmengine - INFO - Epoch(train) [13][680/940] lr: 1.0000e-02 eta: 12:33:06 time: 0.5441 data_time: 0.0272 memory: 31836 grad_norm: 3.8999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8142 loss: 1.8142 2022/10/13 22:18:27 - mmengine - INFO - Epoch(train) [13][700/940] lr: 1.0000e-02 eta: 12:32:54 time: 0.5405 data_time: 0.0302 memory: 31836 grad_norm: 3.8596 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7096 loss: 1.7096 2022/10/13 22:18:38 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:18:38 - mmengine - INFO - Epoch(train) [13][720/940] lr: 1.0000e-02 eta: 12:32:41 time: 0.5400 data_time: 0.0250 memory: 31836 grad_norm: 3.8261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/10/13 22:18:49 - mmengine - INFO - Epoch(train) [13][740/940] lr: 1.0000e-02 eta: 12:32:30 time: 0.5443 data_time: 0.0255 memory: 31836 grad_norm: 3.8336 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7017 loss: 1.7017 2022/10/13 22:19:00 - mmengine - INFO - Epoch(train) [13][760/940] lr: 1.0000e-02 eta: 12:32:18 time: 0.5450 data_time: 0.0321 memory: 31836 grad_norm: 3.8524 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6263 loss: 1.6263 2022/10/13 22:19:11 - mmengine - INFO - Epoch(train) [13][780/940] lr: 1.0000e-02 eta: 12:32:06 time: 0.5454 data_time: 0.0300 memory: 31836 grad_norm: 3.7893 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7022 loss: 1.7022 2022/10/13 22:19:22 - mmengine - INFO - Epoch(train) [13][800/940] lr: 1.0000e-02 eta: 12:31:54 time: 0.5416 data_time: 0.0303 memory: 31836 grad_norm: 3.9049 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7604 loss: 1.7604 2022/10/13 22:19:33 - mmengine - INFO - Epoch(train) [13][820/940] lr: 1.0000e-02 eta: 12:31:42 time: 0.5422 data_time: 0.0248 memory: 31836 grad_norm: 3.8333 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.8416 loss: 1.8416 2022/10/13 22:19:44 - mmengine - INFO - Epoch(train) [13][840/940] lr: 1.0000e-02 eta: 12:31:30 time: 0.5504 data_time: 0.0277 memory: 31836 grad_norm: 3.9116 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.7367 loss: 1.7367 2022/10/13 22:19:55 - mmengine - INFO - Epoch(train) [13][860/940] lr: 1.0000e-02 eta: 12:31:19 time: 0.5450 data_time: 0.0231 memory: 31836 grad_norm: 3.8987 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8724 loss: 1.8724 2022/10/13 22:20:05 - mmengine - INFO - Epoch(train) [13][880/940] lr: 1.0000e-02 eta: 12:31:07 time: 0.5478 data_time: 0.0309 memory: 31836 grad_norm: 3.8711 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6532 loss: 1.6532 2022/10/13 22:20:16 - mmengine - INFO - Epoch(train) [13][900/940] lr: 1.0000e-02 eta: 12:30:55 time: 0.5437 data_time: 0.0262 memory: 31836 grad_norm: 3.8689 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6819 loss: 1.6819 2022/10/13 22:20:27 - mmengine - INFO - Epoch(train) [13][920/940] lr: 1.0000e-02 eta: 12:30:43 time: 0.5406 data_time: 0.0263 memory: 31836 grad_norm: 3.8187 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6755 loss: 1.6755 2022/10/13 22:20:37 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:20:37 - mmengine - INFO - Epoch(train) [13][940/940] lr: 1.0000e-02 eta: 12:30:27 time: 0.5148 data_time: 0.0266 memory: 31836 grad_norm: 4.0340 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.8436 loss: 1.8436 2022/10/13 22:20:51 - mmengine - INFO - Epoch(val) [13][20/78] eta: 0:00:38 time: 0.6603 data_time: 0.5103 memory: 3561 2022/10/13 22:20:59 - mmengine - INFO - Epoch(val) [13][40/78] eta: 0:00:16 time: 0.4393 data_time: 0.2893 memory: 3561 2022/10/13 22:21:11 - mmengine - INFO - Epoch(val) [13][60/78] eta: 0:00:10 time: 0.5628 data_time: 0.4099 memory: 3561 2022/10/13 22:21:25 - mmengine - INFO - Epoch(val) [13][78/78] acc/top1: 0.6492 acc/top5: 0.8574 acc/mean1: 0.6489 2022/10/13 22:21:25 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_12.pth is removed 2022/10/13 22:21:26 - mmengine - INFO - The best checkpoint with 0.6492 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/10/13 22:21:41 - mmengine - INFO - Epoch(train) [14][20/940] lr: 1.0000e-02 eta: 12:30:44 time: 0.7577 data_time: 0.2394 memory: 31836 grad_norm: 3.8733 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.7513 loss: 1.7513 2022/10/13 22:21:52 - mmengine - INFO - Epoch(train) [14][40/940] lr: 1.0000e-02 eta: 12:30:32 time: 0.5421 data_time: 0.0241 memory: 31836 grad_norm: 3.7521 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6712 loss: 1.6712 2022/10/13 22:22:03 - mmengine - INFO - Epoch(train) [14][60/940] lr: 1.0000e-02 eta: 12:30:20 time: 0.5492 data_time: 0.0359 memory: 31836 grad_norm: 3.7675 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5974 loss: 1.5974 2022/10/13 22:22:14 - mmengine - INFO - Epoch(train) [14][80/940] lr: 1.0000e-02 eta: 12:30:09 time: 0.5487 data_time: 0.0290 memory: 31836 grad_norm: 3.8183 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7531 loss: 1.7531 2022/10/13 22:22:25 - mmengine - INFO - Epoch(train) [14][100/940] lr: 1.0000e-02 eta: 12:29:57 time: 0.5459 data_time: 0.0299 memory: 31836 grad_norm: 3.8208 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5577 loss: 1.5577 2022/10/13 22:22:35 - mmengine - INFO - Epoch(train) [14][120/940] lr: 1.0000e-02 eta: 12:29:46 time: 0.5457 data_time: 0.0249 memory: 31836 grad_norm: 3.8425 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7103 loss: 1.7103 2022/10/13 22:22:46 - mmengine - INFO - Epoch(train) [14][140/940] lr: 1.0000e-02 eta: 12:29:34 time: 0.5431 data_time: 0.0294 memory: 31836 grad_norm: 3.8802 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.6704 loss: 1.6704 2022/10/13 22:22:57 - mmengine - INFO - Epoch(train) [14][160/940] lr: 1.0000e-02 eta: 12:29:22 time: 0.5442 data_time: 0.0284 memory: 31836 grad_norm: 3.9056 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.7311 loss: 1.7311 2022/10/13 22:23:08 - mmengine - INFO - Epoch(train) [14][180/940] lr: 1.0000e-02 eta: 12:29:10 time: 0.5443 data_time: 0.0252 memory: 31836 grad_norm: 3.9872 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6273 loss: 1.6273 2022/10/13 22:23:19 - mmengine - INFO - Epoch(train) [14][200/940] lr: 1.0000e-02 eta: 12:29:00 time: 0.5611 data_time: 0.0329 memory: 31836 grad_norm: 3.8458 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6437 loss: 1.6437 2022/10/13 22:23:30 - mmengine - INFO - Epoch(train) [14][220/940] lr: 1.0000e-02 eta: 12:28:49 time: 0.5484 data_time: 0.0287 memory: 31836 grad_norm: 3.9253 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6455 loss: 1.6455 2022/10/13 22:23:41 - mmengine - INFO - Epoch(train) [14][240/940] lr: 1.0000e-02 eta: 12:28:39 time: 0.5585 data_time: 0.0304 memory: 31836 grad_norm: 3.9469 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6227 loss: 1.6227 2022/10/13 22:23:52 - mmengine - INFO - Epoch(train) [14][260/940] lr: 1.0000e-02 eta: 12:28:27 time: 0.5421 data_time: 0.0241 memory: 31836 grad_norm: 3.8394 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.7126 loss: 1.7126 2022/10/13 22:24:03 - mmengine - INFO - Epoch(train) [14][280/940] lr: 1.0000e-02 eta: 12:28:14 time: 0.5404 data_time: 0.0270 memory: 31836 grad_norm: 3.9186 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6461 loss: 1.6461 2022/10/13 22:24:14 - mmengine - INFO - Epoch(train) [14][300/940] lr: 1.0000e-02 eta: 12:28:03 time: 0.5469 data_time: 0.0264 memory: 31836 grad_norm: 3.8849 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6755 loss: 1.6755 2022/10/13 22:24:25 - mmengine - INFO - Epoch(train) [14][320/940] lr: 1.0000e-02 eta: 12:27:51 time: 0.5484 data_time: 0.0387 memory: 31836 grad_norm: 3.7943 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.5413 loss: 1.5413 2022/10/13 22:24:36 - mmengine - INFO - Epoch(train) [14][340/940] lr: 1.0000e-02 eta: 12:27:40 time: 0.5464 data_time: 0.0289 memory: 31836 grad_norm: 3.8795 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.7303 loss: 1.7303 2022/10/13 22:24:47 - mmengine - INFO - Epoch(train) [14][360/940] lr: 1.0000e-02 eta: 12:27:27 time: 0.5358 data_time: 0.0283 memory: 31836 grad_norm: 3.9190 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.5742 loss: 1.5742 2022/10/13 22:24:58 - mmengine - INFO - Epoch(train) [14][380/940] lr: 1.0000e-02 eta: 12:27:16 time: 0.5510 data_time: 0.0252 memory: 31836 grad_norm: 3.8327 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/10/13 22:25:09 - mmengine - INFO - Epoch(train) [14][400/940] lr: 1.0000e-02 eta: 12:27:04 time: 0.5445 data_time: 0.0290 memory: 31836 grad_norm: 3.8638 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5809 loss: 1.5809 2022/10/13 22:25:20 - mmengine - INFO - Epoch(train) [14][420/940] lr: 1.0000e-02 eta: 12:26:52 time: 0.5461 data_time: 0.0238 memory: 31836 grad_norm: 3.9040 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7671 loss: 1.7671 2022/10/13 22:25:30 - mmengine - INFO - Epoch(train) [14][440/940] lr: 1.0000e-02 eta: 12:26:41 time: 0.5443 data_time: 0.0301 memory: 31836 grad_norm: 3.9400 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6123 loss: 1.6123 2022/10/13 22:25:41 - mmengine - INFO - Epoch(train) [14][460/940] lr: 1.0000e-02 eta: 12:26:29 time: 0.5493 data_time: 0.0274 memory: 31836 grad_norm: 3.9400 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7254 loss: 1.7254 2022/10/13 22:25:52 - mmengine - INFO - Epoch(train) [14][480/940] lr: 1.0000e-02 eta: 12:26:17 time: 0.5410 data_time: 0.0272 memory: 31836 grad_norm: 3.8914 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6675 loss: 1.6675 2022/10/13 22:26:03 - mmengine - INFO - Epoch(train) [14][500/940] lr: 1.0000e-02 eta: 12:26:05 time: 0.5412 data_time: 0.0310 memory: 31836 grad_norm: 3.8721 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6201 loss: 1.6201 2022/10/13 22:26:14 - mmengine - INFO - Epoch(train) [14][520/940] lr: 1.0000e-02 eta: 12:25:52 time: 0.5362 data_time: 0.0247 memory: 31836 grad_norm: 3.8812 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6800 loss: 1.6800 2022/10/13 22:26:25 - mmengine - INFO - Epoch(train) [14][540/940] lr: 1.0000e-02 eta: 12:25:40 time: 0.5393 data_time: 0.0264 memory: 31836 grad_norm: 3.8737 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6397 loss: 1.6397 2022/10/13 22:26:35 - mmengine - INFO - Epoch(train) [14][560/940] lr: 1.0000e-02 eta: 12:25:28 time: 0.5432 data_time: 0.0304 memory: 31836 grad_norm: 3.9259 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6007 loss: 1.6007 2022/10/13 22:26:46 - mmengine - INFO - Epoch(train) [14][580/940] lr: 1.0000e-02 eta: 12:25:16 time: 0.5436 data_time: 0.0292 memory: 31836 grad_norm: 3.9075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6996 loss: 1.6996 2022/10/13 22:26:57 - mmengine - INFO - Epoch(train) [14][600/940] lr: 1.0000e-02 eta: 12:25:05 time: 0.5504 data_time: 0.0309 memory: 31836 grad_norm: 3.9345 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.7474 loss: 1.7474 2022/10/13 22:27:08 - mmengine - INFO - Epoch(train) [14][620/940] lr: 1.0000e-02 eta: 12:24:53 time: 0.5441 data_time: 0.0273 memory: 31836 grad_norm: 3.8698 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7394 loss: 1.7394 2022/10/13 22:27:19 - mmengine - INFO - Epoch(train) [14][640/940] lr: 1.0000e-02 eta: 12:24:42 time: 0.5530 data_time: 0.0309 memory: 31836 grad_norm: 3.8027 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.6586 loss: 1.6586 2022/10/13 22:27:30 - mmengine - INFO - Epoch(train) [14][660/940] lr: 1.0000e-02 eta: 12:24:32 time: 0.5577 data_time: 0.0337 memory: 31836 grad_norm: 4.0347 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6175 loss: 1.6175 2022/10/13 22:27:41 - mmengine - INFO - Epoch(train) [14][680/940] lr: 1.0000e-02 eta: 12:24:21 time: 0.5533 data_time: 0.0268 memory: 31836 grad_norm: 3.8643 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5640 loss: 1.5640 2022/10/13 22:27:52 - mmengine - INFO - Epoch(train) [14][700/940] lr: 1.0000e-02 eta: 12:24:09 time: 0.5408 data_time: 0.0260 memory: 31836 grad_norm: 3.7996 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5769 loss: 1.5769 2022/10/13 22:28:03 - mmengine - INFO - Epoch(train) [14][720/940] lr: 1.0000e-02 eta: 12:23:58 time: 0.5524 data_time: 0.0223 memory: 31836 grad_norm: 3.9019 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6243 loss: 1.6243 2022/10/13 22:28:14 - mmengine - INFO - Epoch(train) [14][740/940] lr: 1.0000e-02 eta: 12:23:46 time: 0.5436 data_time: 0.0254 memory: 31836 grad_norm: 3.8677 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6638 loss: 1.6638 2022/10/13 22:28:25 - mmengine - INFO - Epoch(train) [14][760/940] lr: 1.0000e-02 eta: 12:23:34 time: 0.5396 data_time: 0.0248 memory: 31836 grad_norm: 3.9120 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.6940 loss: 1.6940 2022/10/13 22:28:36 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:28:36 - mmengine - INFO - Epoch(train) [14][780/940] lr: 1.0000e-02 eta: 12:23:21 time: 0.5346 data_time: 0.0297 memory: 31836 grad_norm: 3.8133 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7954 loss: 1.7954 2022/10/13 22:28:47 - mmengine - INFO - Epoch(train) [14][800/940] lr: 1.0000e-02 eta: 12:23:09 time: 0.5452 data_time: 0.0312 memory: 31836 grad_norm: 3.9079 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.8492 loss: 1.8492 2022/10/13 22:28:58 - mmengine - INFO - Epoch(train) [14][820/940] lr: 1.0000e-02 eta: 12:22:58 time: 0.5488 data_time: 0.0292 memory: 31836 grad_norm: 3.7648 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5537 loss: 1.5537 2022/10/13 22:29:08 - mmengine - INFO - Epoch(train) [14][840/940] lr: 1.0000e-02 eta: 12:22:46 time: 0.5416 data_time: 0.0357 memory: 31836 grad_norm: 3.7686 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7025 loss: 1.7025 2022/10/13 22:29:19 - mmengine - INFO - Epoch(train) [14][860/940] lr: 1.0000e-02 eta: 12:22:34 time: 0.5444 data_time: 0.0287 memory: 31836 grad_norm: 3.9830 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7141 loss: 1.7141 2022/10/13 22:29:30 - mmengine - INFO - Epoch(train) [14][880/940] lr: 1.0000e-02 eta: 12:22:22 time: 0.5427 data_time: 0.0250 memory: 31836 grad_norm: 3.8986 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4811 loss: 1.4811 2022/10/13 22:29:41 - mmengine - INFO - Epoch(train) [14][900/940] lr: 1.0000e-02 eta: 12:22:11 time: 0.5470 data_time: 0.0320 memory: 31836 grad_norm: 3.8809 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6645 loss: 1.6645 2022/10/13 22:29:52 - mmengine - INFO - Epoch(train) [14][920/940] lr: 1.0000e-02 eta: 12:22:00 time: 0.5521 data_time: 0.0322 memory: 31836 grad_norm: 3.8581 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6163 loss: 1.6163 2022/10/13 22:30:02 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:30:02 - mmengine - INFO - Epoch(train) [14][940/940] lr: 1.0000e-02 eta: 12:21:44 time: 0.5151 data_time: 0.0247 memory: 31836 grad_norm: 4.1126 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6875 loss: 1.6875 2022/10/13 22:30:15 - mmengine - INFO - Epoch(val) [14][20/78] eta: 0:00:35 time: 0.6206 data_time: 0.4692 memory: 3561 2022/10/13 22:30:24 - mmengine - INFO - Epoch(val) [14][40/78] eta: 0:00:17 time: 0.4655 data_time: 0.3147 memory: 3561 2022/10/13 22:30:35 - mmengine - INFO - Epoch(val) [14][60/78] eta: 0:00:10 time: 0.5618 data_time: 0.4124 memory: 3561 2022/10/13 22:30:47 - mmengine - INFO - Epoch(val) [14][78/78] acc/top1: 0.6526 acc/top5: 0.8626 acc/mean1: 0.6524 2022/10/13 22:30:47 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_13.pth is removed 2022/10/13 22:30:47 - mmengine - INFO - The best checkpoint with 0.6526 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/10/13 22:31:03 - mmengine - INFO - Epoch(train) [15][20/940] lr: 1.0000e-02 eta: 12:22:02 time: 0.7822 data_time: 0.2595 memory: 31836 grad_norm: 3.8198 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7026 loss: 1.7026 2022/10/13 22:31:14 - mmengine - INFO - Epoch(train) [15][40/940] lr: 1.0000e-02 eta: 12:21:52 time: 0.5599 data_time: 0.0348 memory: 31836 grad_norm: 3.7877 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5981 loss: 1.5981 2022/10/13 22:31:25 - mmengine - INFO - Epoch(train) [15][60/940] lr: 1.0000e-02 eta: 12:21:42 time: 0.5573 data_time: 0.0312 memory: 31836 grad_norm: 3.7636 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6759 loss: 1.6759 2022/10/13 22:31:36 - mmengine - INFO - Epoch(train) [15][80/940] lr: 1.0000e-02 eta: 12:21:30 time: 0.5459 data_time: 0.0227 memory: 31836 grad_norm: 3.8492 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6241 loss: 1.6241 2022/10/13 22:31:47 - mmengine - INFO - Epoch(train) [15][100/940] lr: 1.0000e-02 eta: 12:21:17 time: 0.5373 data_time: 0.0242 memory: 31836 grad_norm: 3.8489 top1_acc: 0.5312 top5_acc: 0.6250 loss_cls: 1.7403 loss: 1.7403 2022/10/13 22:31:58 - mmengine - INFO - Epoch(train) [15][120/940] lr: 1.0000e-02 eta: 12:21:05 time: 0.5399 data_time: 0.0310 memory: 31836 grad_norm: 3.9059 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.5437 loss: 1.5437 2022/10/13 22:32:09 - mmengine - INFO - Epoch(train) [15][140/940] lr: 1.0000e-02 eta: 12:20:52 time: 0.5390 data_time: 0.0271 memory: 31836 grad_norm: 3.9619 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6129 loss: 1.6129 2022/10/13 22:32:20 - mmengine - INFO - Epoch(train) [15][160/940] lr: 1.0000e-02 eta: 12:20:41 time: 0.5453 data_time: 0.0277 memory: 31836 grad_norm: 3.8616 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.6166 loss: 1.6166 2022/10/13 22:32:31 - mmengine - INFO - Epoch(train) [15][180/940] lr: 1.0000e-02 eta: 12:20:30 time: 0.5488 data_time: 0.0275 memory: 31836 grad_norm: 3.6992 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5383 loss: 1.5383 2022/10/13 22:32:41 - mmengine - INFO - Epoch(train) [15][200/940] lr: 1.0000e-02 eta: 12:20:18 time: 0.5457 data_time: 0.0259 memory: 31836 grad_norm: 3.8442 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4788 loss: 1.4788 2022/10/13 22:32:52 - mmengine - INFO - Epoch(train) [15][220/940] lr: 1.0000e-02 eta: 12:20:07 time: 0.5523 data_time: 0.0307 memory: 31836 grad_norm: 3.8985 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6492 loss: 1.6492 2022/10/13 22:33:03 - mmengine - INFO - Epoch(train) [15][240/940] lr: 1.0000e-02 eta: 12:19:56 time: 0.5467 data_time: 0.0294 memory: 31836 grad_norm: 3.8889 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.6097 loss: 1.6097 2022/10/13 22:33:14 - mmengine - INFO - Epoch(train) [15][260/940] lr: 1.0000e-02 eta: 12:19:44 time: 0.5458 data_time: 0.0268 memory: 31836 grad_norm: 3.9092 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7663 loss: 1.7663 2022/10/13 22:33:25 - mmengine - INFO - Epoch(train) [15][280/940] lr: 1.0000e-02 eta: 12:19:31 time: 0.5367 data_time: 0.0267 memory: 31836 grad_norm: 3.9028 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7170 loss: 1.7170 2022/10/13 22:33:36 - mmengine - INFO - Epoch(train) [15][300/940] lr: 1.0000e-02 eta: 12:19:19 time: 0.5403 data_time: 0.0307 memory: 31836 grad_norm: 3.8540 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5350 loss: 1.5350 2022/10/13 22:33:47 - mmengine - INFO - Epoch(train) [15][320/940] lr: 1.0000e-02 eta: 12:19:08 time: 0.5480 data_time: 0.0277 memory: 31836 grad_norm: 3.9011 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4808 loss: 1.4808 2022/10/13 22:33:58 - mmengine - INFO - Epoch(train) [15][340/940] lr: 1.0000e-02 eta: 12:18:57 time: 0.5509 data_time: 0.0308 memory: 31836 grad_norm: 3.9904 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7272 loss: 1.7272 2022/10/13 22:34:09 - mmengine - INFO - Epoch(train) [15][360/940] lr: 1.0000e-02 eta: 12:18:46 time: 0.5532 data_time: 0.0272 memory: 31836 grad_norm: 3.8320 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6127 loss: 1.6127 2022/10/13 22:34:20 - mmengine - INFO - Epoch(train) [15][380/940] lr: 1.0000e-02 eta: 12:18:35 time: 0.5538 data_time: 0.0288 memory: 31836 grad_norm: 3.8436 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6220 loss: 1.6220 2022/10/13 22:34:31 - mmengine - INFO - Epoch(train) [15][400/940] lr: 1.0000e-02 eta: 12:18:23 time: 0.5407 data_time: 0.0328 memory: 31836 grad_norm: 3.9043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7010 loss: 1.7010 2022/10/13 22:34:42 - mmengine - INFO - Epoch(train) [15][420/940] lr: 1.0000e-02 eta: 12:18:11 time: 0.5446 data_time: 0.0279 memory: 31836 grad_norm: 3.8711 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.5748 loss: 1.5748 2022/10/13 22:34:53 - mmengine - INFO - Epoch(train) [15][440/940] lr: 1.0000e-02 eta: 12:17:59 time: 0.5439 data_time: 0.0266 memory: 31836 grad_norm: 3.8648 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5912 loss: 1.5912 2022/10/13 22:35:03 - mmengine - INFO - Epoch(train) [15][460/940] lr: 1.0000e-02 eta: 12:17:48 time: 0.5444 data_time: 0.0313 memory: 31836 grad_norm: 3.8877 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5612 loss: 1.5612 2022/10/13 22:35:14 - mmengine - INFO - Epoch(train) [15][480/940] lr: 1.0000e-02 eta: 12:17:36 time: 0.5470 data_time: 0.0331 memory: 31836 grad_norm: 3.8838 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6442 loss: 1.6442 2022/10/13 22:35:25 - mmengine - INFO - Epoch(train) [15][500/940] lr: 1.0000e-02 eta: 12:17:24 time: 0.5447 data_time: 0.0259 memory: 31836 grad_norm: 3.8919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7426 loss: 1.7426 2022/10/13 22:35:36 - mmengine - INFO - Epoch(train) [15][520/940] lr: 1.0000e-02 eta: 12:17:12 time: 0.5413 data_time: 0.0251 memory: 31836 grad_norm: 3.8979 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5403 loss: 1.5403 2022/10/13 22:35:47 - mmengine - INFO - Epoch(train) [15][540/940] lr: 1.0000e-02 eta: 12:17:00 time: 0.5405 data_time: 0.0234 memory: 31836 grad_norm: 3.9635 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7017 loss: 1.7017 2022/10/13 22:35:58 - mmengine - INFO - Epoch(train) [15][560/940] lr: 1.0000e-02 eta: 12:16:48 time: 0.5439 data_time: 0.0316 memory: 31836 grad_norm: 3.9255 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6179 loss: 1.6179 2022/10/13 22:36:09 - mmengine - INFO - Epoch(train) [15][580/940] lr: 1.0000e-02 eta: 12:16:36 time: 0.5426 data_time: 0.0294 memory: 31836 grad_norm: 3.9965 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6166 loss: 1.6166 2022/10/13 22:36:20 - mmengine - INFO - Epoch(train) [15][600/940] lr: 1.0000e-02 eta: 12:16:25 time: 0.5453 data_time: 0.0241 memory: 31836 grad_norm: 3.9367 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5949 loss: 1.5949 2022/10/13 22:36:30 - mmengine - INFO - Epoch(train) [15][620/940] lr: 1.0000e-02 eta: 12:16:13 time: 0.5402 data_time: 0.0292 memory: 31836 grad_norm: 3.9078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7151 loss: 1.7151 2022/10/13 22:36:41 - mmengine - INFO - Epoch(train) [15][640/940] lr: 1.0000e-02 eta: 12:16:00 time: 0.5379 data_time: 0.0251 memory: 31836 grad_norm: 3.9658 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6800 loss: 1.6800 2022/10/13 22:36:52 - mmengine - INFO - Epoch(train) [15][660/940] lr: 1.0000e-02 eta: 12:15:48 time: 0.5445 data_time: 0.0247 memory: 31836 grad_norm: 3.9810 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6335 loss: 1.6335 2022/10/13 22:37:03 - mmengine - INFO - Epoch(train) [15][680/940] lr: 1.0000e-02 eta: 12:15:37 time: 0.5454 data_time: 0.0259 memory: 31836 grad_norm: 3.9713 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.6885 loss: 1.6885 2022/10/13 22:37:14 - mmengine - INFO - Epoch(train) [15][700/940] lr: 1.0000e-02 eta: 12:15:24 time: 0.5380 data_time: 0.0242 memory: 31836 grad_norm: 3.8609 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7289 loss: 1.7289 2022/10/13 22:37:25 - mmengine - INFO - Epoch(train) [15][720/940] lr: 1.0000e-02 eta: 12:15:13 time: 0.5455 data_time: 0.0307 memory: 31836 grad_norm: 3.8937 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7856 loss: 1.7856 2022/10/13 22:37:36 - mmengine - INFO - Epoch(train) [15][740/940] lr: 1.0000e-02 eta: 12:15:02 time: 0.5528 data_time: 0.0262 memory: 31836 grad_norm: 3.8811 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6996 loss: 1.6996 2022/10/13 22:37:47 - mmengine - INFO - Epoch(train) [15][760/940] lr: 1.0000e-02 eta: 12:14:50 time: 0.5420 data_time: 0.0262 memory: 31836 grad_norm: 3.8556 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.5780 loss: 1.5780 2022/10/13 22:37:58 - mmengine - INFO - Epoch(train) [15][780/940] lr: 1.0000e-02 eta: 12:14:39 time: 0.5525 data_time: 0.0366 memory: 31836 grad_norm: 4.0269 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5987 loss: 1.5987 2022/10/13 22:38:09 - mmengine - INFO - Epoch(train) [15][800/940] lr: 1.0000e-02 eta: 12:14:29 time: 0.5564 data_time: 0.0333 memory: 31836 grad_norm: 3.8994 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4558 loss: 1.4558 2022/10/13 22:38:20 - mmengine - INFO - Epoch(train) [15][820/940] lr: 1.0000e-02 eta: 12:14:18 time: 0.5549 data_time: 0.0318 memory: 31836 grad_norm: 3.9588 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8496 loss: 1.8496 2022/10/13 22:38:31 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:38:31 - mmengine - INFO - Epoch(train) [15][840/940] lr: 1.0000e-02 eta: 12:14:06 time: 0.5425 data_time: 0.0236 memory: 31836 grad_norm: 3.9489 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6253 loss: 1.6253 2022/10/13 22:38:42 - mmengine - INFO - Epoch(train) [15][860/940] lr: 1.0000e-02 eta: 12:13:54 time: 0.5433 data_time: 0.0299 memory: 31836 grad_norm: 3.9256 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.7174 loss: 1.7174 2022/10/13 22:38:52 - mmengine - INFO - Epoch(train) [15][880/940] lr: 1.0000e-02 eta: 12:13:43 time: 0.5459 data_time: 0.0300 memory: 31836 grad_norm: 4.0478 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5529 loss: 1.5529 2022/10/13 22:39:03 - mmengine - INFO - Epoch(train) [15][900/940] lr: 1.0000e-02 eta: 12:13:31 time: 0.5417 data_time: 0.0270 memory: 31836 grad_norm: 3.9496 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7503 loss: 1.7503 2022/10/13 22:39:14 - mmengine - INFO - Epoch(train) [15][920/940] lr: 1.0000e-02 eta: 12:13:20 time: 0.5514 data_time: 0.0330 memory: 31836 grad_norm: 3.8256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5463 loss: 1.5463 2022/10/13 22:39:24 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:39:24 - mmengine - INFO - Epoch(train) [15][940/940] lr: 1.0000e-02 eta: 12:13:04 time: 0.5107 data_time: 0.0241 memory: 31836 grad_norm: 4.1076 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6691 loss: 1.6691 2022/10/13 22:39:25 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/10/13 22:39:39 - mmengine - INFO - Epoch(val) [15][20/78] eta: 0:00:37 time: 0.6382 data_time: 0.4892 memory: 3561 2022/10/13 22:39:48 - mmengine - INFO - Epoch(val) [15][40/78] eta: 0:00:17 time: 0.4505 data_time: 0.3041 memory: 3561 2022/10/13 22:39:58 - mmengine - INFO - Epoch(val) [15][60/78] eta: 0:00:09 time: 0.5449 data_time: 0.3969 memory: 3561 2022/10/13 22:40:12 - mmengine - INFO - Epoch(val) [15][78/78] acc/top1: 0.6479 acc/top5: 0.8570 acc/mean1: 0.6478 2022/10/13 22:40:28 - mmengine - INFO - Epoch(train) [16][20/940] lr: 1.0000e-02 eta: 12:13:23 time: 0.8082 data_time: 0.2485 memory: 31836 grad_norm: 3.9107 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6379 loss: 1.6379 2022/10/13 22:40:40 - mmengine - INFO - Epoch(train) [16][40/940] lr: 1.0000e-02 eta: 12:13:18 time: 0.6057 data_time: 0.0233 memory: 31836 grad_norm: 3.8699 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4894 loss: 1.4894 2022/10/13 22:40:52 - mmengine - INFO - Epoch(train) [16][60/940] lr: 1.0000e-02 eta: 12:13:10 time: 0.5826 data_time: 0.0274 memory: 31836 grad_norm: 3.8700 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.6444 loss: 1.6444 2022/10/13 22:41:03 - mmengine - INFO - Epoch(train) [16][80/940] lr: 1.0000e-02 eta: 12:12:59 time: 0.5468 data_time: 0.0249 memory: 31836 grad_norm: 3.8453 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5034 loss: 1.5034 2022/10/13 22:41:14 - mmengine - INFO - Epoch(train) [16][100/940] lr: 1.0000e-02 eta: 12:12:49 time: 0.5599 data_time: 0.0266 memory: 31836 grad_norm: 3.8680 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7340 loss: 1.7340 2022/10/13 22:41:25 - mmengine - INFO - Epoch(train) [16][120/940] lr: 1.0000e-02 eta: 12:12:38 time: 0.5513 data_time: 0.0280 memory: 31836 grad_norm: 3.8730 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7603 loss: 1.7603 2022/10/13 22:41:36 - mmengine - INFO - Epoch(train) [16][140/940] lr: 1.0000e-02 eta: 12:12:27 time: 0.5489 data_time: 0.0257 memory: 31836 grad_norm: 4.0168 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5397 loss: 1.5397 2022/10/13 22:41:47 - mmengine - INFO - Epoch(train) [16][160/940] lr: 1.0000e-02 eta: 12:12:14 time: 0.5410 data_time: 0.0300 memory: 31836 grad_norm: 4.0238 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.6610 loss: 1.6610 2022/10/13 22:41:57 - mmengine - INFO - Epoch(train) [16][180/940] lr: 1.0000e-02 eta: 12:12:03 time: 0.5437 data_time: 0.0286 memory: 31836 grad_norm: 4.0113 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6334 loss: 1.6334 2022/10/13 22:42:08 - mmengine - INFO - Epoch(train) [16][200/940] lr: 1.0000e-02 eta: 12:11:51 time: 0.5433 data_time: 0.0251 memory: 31836 grad_norm: 3.9257 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6280 loss: 1.6280 2022/10/13 22:42:19 - mmengine - INFO - Epoch(train) [16][220/940] lr: 1.0000e-02 eta: 12:11:40 time: 0.5498 data_time: 0.0247 memory: 31836 grad_norm: 3.9806 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5688 loss: 1.5688 2022/10/13 22:42:30 - mmengine - INFO - Epoch(train) [16][240/940] lr: 1.0000e-02 eta: 12:11:27 time: 0.5379 data_time: 0.0249 memory: 31836 grad_norm: 3.8563 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6568 loss: 1.6568 2022/10/13 22:42:41 - mmengine - INFO - Epoch(train) [16][260/940] lr: 1.0000e-02 eta: 12:11:16 time: 0.5493 data_time: 0.0236 memory: 31836 grad_norm: 3.8635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5562 loss: 1.5562 2022/10/13 22:42:52 - mmengine - INFO - Epoch(train) [16][280/940] lr: 1.0000e-02 eta: 12:11:04 time: 0.5423 data_time: 0.0266 memory: 31836 grad_norm: 3.9919 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6204 loss: 1.6204 2022/10/13 22:43:03 - mmengine - INFO - Epoch(train) [16][300/940] lr: 1.0000e-02 eta: 12:10:52 time: 0.5473 data_time: 0.0294 memory: 31836 grad_norm: 3.9457 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6130 loss: 1.6130 2022/10/13 22:43:14 - mmengine - INFO - Epoch(train) [16][320/940] lr: 1.0000e-02 eta: 12:10:41 time: 0.5501 data_time: 0.0323 memory: 31836 grad_norm: 3.8890 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.5387 loss: 1.5387 2022/10/13 22:43:25 - mmengine - INFO - Epoch(train) [16][340/940] lr: 1.0000e-02 eta: 12:10:29 time: 0.5412 data_time: 0.0293 memory: 31836 grad_norm: 3.9514 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5888 loss: 1.5888 2022/10/13 22:43:35 - mmengine - INFO - Epoch(train) [16][360/940] lr: 1.0000e-02 eta: 12:10:17 time: 0.5417 data_time: 0.0290 memory: 31836 grad_norm: 3.9848 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5938 loss: 1.5938 2022/10/13 22:43:46 - mmengine - INFO - Epoch(train) [16][380/940] lr: 1.0000e-02 eta: 12:10:06 time: 0.5459 data_time: 0.0320 memory: 31836 grad_norm: 3.9270 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7162 loss: 1.7162 2022/10/13 22:43:57 - mmengine - INFO - Epoch(train) [16][400/940] lr: 1.0000e-02 eta: 12:09:55 time: 0.5526 data_time: 0.0312 memory: 31836 grad_norm: 3.9724 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4714 loss: 1.4714 2022/10/13 22:44:08 - mmengine - INFO - Epoch(train) [16][420/940] lr: 1.0000e-02 eta: 12:09:44 time: 0.5503 data_time: 0.0253 memory: 31836 grad_norm: 4.0384 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5549 loss: 1.5549 2022/10/13 22:44:20 - mmengine - INFO - Epoch(train) [16][440/940] lr: 1.0000e-02 eta: 12:09:33 time: 0.5567 data_time: 0.0314 memory: 31836 grad_norm: 3.8839 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.6985 loss: 1.6985 2022/10/13 22:44:30 - mmengine - INFO - Epoch(train) [16][460/940] lr: 1.0000e-02 eta: 12:09:21 time: 0.5425 data_time: 0.0250 memory: 31836 grad_norm: 3.8913 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7376 loss: 1.7376 2022/10/13 22:44:41 - mmengine - INFO - Epoch(train) [16][480/940] lr: 1.0000e-02 eta: 12:09:11 time: 0.5520 data_time: 0.0304 memory: 31836 grad_norm: 3.9401 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.7175 loss: 1.7175 2022/10/13 22:44:52 - mmengine - INFO - Epoch(train) [16][500/940] lr: 1.0000e-02 eta: 12:08:59 time: 0.5451 data_time: 0.0237 memory: 31836 grad_norm: 3.9656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7944 loss: 1.7944 2022/10/13 22:45:03 - mmengine - INFO - Epoch(train) [16][520/940] lr: 1.0000e-02 eta: 12:08:47 time: 0.5380 data_time: 0.0305 memory: 31836 grad_norm: 3.9831 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.6499 loss: 1.6499 2022/10/13 22:45:14 - mmengine - INFO - Epoch(train) [16][540/940] lr: 1.0000e-02 eta: 12:08:36 time: 0.5511 data_time: 0.0276 memory: 31836 grad_norm: 3.9676 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7553 loss: 1.7553 2022/10/13 22:45:25 - mmengine - INFO - Epoch(train) [16][560/940] lr: 1.0000e-02 eta: 12:08:24 time: 0.5470 data_time: 0.0261 memory: 31836 grad_norm: 3.9747 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6993 loss: 1.6993 2022/10/13 22:45:36 - mmengine - INFO - Epoch(train) [16][580/940] lr: 1.0000e-02 eta: 12:08:12 time: 0.5428 data_time: 0.0299 memory: 31836 grad_norm: 3.9086 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6666 loss: 1.6666 2022/10/13 22:45:47 - mmengine - INFO - Epoch(train) [16][600/940] lr: 1.0000e-02 eta: 12:08:00 time: 0.5419 data_time: 0.0232 memory: 31836 grad_norm: 3.9237 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5339 loss: 1.5339 2022/10/13 22:45:58 - mmengine - INFO - Epoch(train) [16][620/940] lr: 1.0000e-02 eta: 12:07:48 time: 0.5424 data_time: 0.0314 memory: 31836 grad_norm: 3.9203 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6018 loss: 1.6018 2022/10/13 22:46:09 - mmengine - INFO - Epoch(train) [16][640/940] lr: 1.0000e-02 eta: 12:07:36 time: 0.5434 data_time: 0.0302 memory: 31836 grad_norm: 3.9285 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8228 loss: 1.8228 2022/10/13 22:46:19 - mmengine - INFO - Epoch(train) [16][660/940] lr: 1.0000e-02 eta: 12:07:25 time: 0.5460 data_time: 0.0282 memory: 31836 grad_norm: 3.9500 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.5897 loss: 1.5897 2022/10/13 22:46:30 - mmengine - INFO - Epoch(train) [16][680/940] lr: 1.0000e-02 eta: 12:07:13 time: 0.5458 data_time: 0.0340 memory: 31836 grad_norm: 4.0475 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6554 loss: 1.6554 2022/10/13 22:46:41 - mmengine - INFO - Epoch(train) [16][700/940] lr: 1.0000e-02 eta: 12:07:02 time: 0.5451 data_time: 0.0248 memory: 31836 grad_norm: 3.9730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6573 loss: 1.6573 2022/10/13 22:46:52 - mmengine - INFO - Epoch(train) [16][720/940] lr: 1.0000e-02 eta: 12:06:50 time: 0.5423 data_time: 0.0268 memory: 31836 grad_norm: 3.9190 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.7170 loss: 1.7170 2022/10/13 22:47:03 - mmengine - INFO - Epoch(train) [16][740/940] lr: 1.0000e-02 eta: 12:06:39 time: 0.5501 data_time: 0.0292 memory: 31836 grad_norm: 3.9975 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5556 loss: 1.5556 2022/10/13 22:47:14 - mmengine - INFO - Epoch(train) [16][760/940] lr: 1.0000e-02 eta: 12:06:27 time: 0.5470 data_time: 0.0263 memory: 31836 grad_norm: 3.9112 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.7824 loss: 1.7824 2022/10/13 22:47:25 - mmengine - INFO - Epoch(train) [16][780/940] lr: 1.0000e-02 eta: 12:06:16 time: 0.5488 data_time: 0.0306 memory: 31836 grad_norm: 3.8603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6814 loss: 1.6814 2022/10/13 22:47:36 - mmengine - INFO - Epoch(train) [16][800/940] lr: 1.0000e-02 eta: 12:06:04 time: 0.5374 data_time: 0.0307 memory: 31836 grad_norm: 3.9563 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6557 loss: 1.6557 2022/10/13 22:47:47 - mmengine - INFO - Epoch(train) [16][820/940] lr: 1.0000e-02 eta: 12:05:52 time: 0.5442 data_time: 0.0258 memory: 31836 grad_norm: 3.9360 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6735 loss: 1.6735 2022/10/13 22:47:58 - mmengine - INFO - Epoch(train) [16][840/940] lr: 1.0000e-02 eta: 12:05:40 time: 0.5433 data_time: 0.0245 memory: 31836 grad_norm: 3.9645 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5971 loss: 1.5971 2022/10/13 22:48:08 - mmengine - INFO - Epoch(train) [16][860/940] lr: 1.0000e-02 eta: 12:05:28 time: 0.5421 data_time: 0.0332 memory: 31836 grad_norm: 3.9560 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6493 loss: 1.6493 2022/10/13 22:48:19 - mmengine - INFO - Epoch(train) [16][880/940] lr: 1.0000e-02 eta: 12:05:17 time: 0.5522 data_time: 0.0294 memory: 31836 grad_norm: 3.9388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6275 loss: 1.6275 2022/10/13 22:48:30 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:48:30 - mmengine - INFO - Epoch(train) [16][900/940] lr: 1.0000e-02 eta: 12:05:06 time: 0.5503 data_time: 0.0245 memory: 31836 grad_norm: 4.0085 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.7298 loss: 1.7298 2022/10/13 22:48:41 - mmengine - INFO - Epoch(train) [16][920/940] lr: 1.0000e-02 eta: 12:04:54 time: 0.5412 data_time: 0.0325 memory: 31836 grad_norm: 3.9691 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6254 loss: 1.6254 2022/10/13 22:48:51 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:48:51 - mmengine - INFO - Epoch(train) [16][940/940] lr: 1.0000e-02 eta: 12:04:39 time: 0.5117 data_time: 0.0265 memory: 31836 grad_norm: 4.1233 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.5391 loss: 1.5391 2022/10/13 22:49:04 - mmengine - INFO - Epoch(val) [16][20/78] eta: 0:00:36 time: 0.6356 data_time: 0.4838 memory: 3561 2022/10/13 22:49:13 - mmengine - INFO - Epoch(val) [16][40/78] eta: 0:00:16 time: 0.4325 data_time: 0.2852 memory: 3561 2022/10/13 22:49:24 - mmengine - INFO - Epoch(val) [16][60/78] eta: 0:00:10 time: 0.5723 data_time: 0.4227 memory: 3561 2022/10/13 22:49:36 - mmengine - INFO - Epoch(val) [16][78/78] acc/top1: 0.6540 acc/top5: 0.8644 acc/mean1: 0.6539 2022/10/13 22:49:37 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_14.pth is removed 2022/10/13 22:49:37 - mmengine - INFO - The best checkpoint with 0.6540 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/10/13 22:49:52 - mmengine - INFO - Epoch(train) [17][20/940] lr: 1.0000e-02 eta: 12:04:49 time: 0.7540 data_time: 0.2391 memory: 31836 grad_norm: 3.9562 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7043 loss: 1.7043 2022/10/13 22:50:03 - mmengine - INFO - Epoch(train) [17][40/940] lr: 1.0000e-02 eta: 12:04:38 time: 0.5454 data_time: 0.0299 memory: 31836 grad_norm: 3.9823 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6735 loss: 1.6735 2022/10/13 22:50:15 - mmengine - INFO - Epoch(train) [17][60/940] lr: 1.0000e-02 eta: 12:04:28 time: 0.5624 data_time: 0.0428 memory: 31836 grad_norm: 3.8845 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5454 loss: 1.5454 2022/10/13 22:50:26 - mmengine - INFO - Epoch(train) [17][80/940] lr: 1.0000e-02 eta: 12:04:17 time: 0.5489 data_time: 0.0233 memory: 31836 grad_norm: 3.8502 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5380 loss: 1.5380 2022/10/13 22:50:37 - mmengine - INFO - Epoch(train) [17][100/940] lr: 1.0000e-02 eta: 12:04:06 time: 0.5543 data_time: 0.0299 memory: 31836 grad_norm: 4.0681 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5308 loss: 1.5308 2022/10/13 22:50:48 - mmengine - INFO - Epoch(train) [17][120/940] lr: 1.0000e-02 eta: 12:03:56 time: 0.5582 data_time: 0.0319 memory: 31836 grad_norm: 4.0490 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.7333 loss: 1.7333 2022/10/13 22:50:59 - mmengine - INFO - Epoch(train) [17][140/940] lr: 1.0000e-02 eta: 12:03:45 time: 0.5504 data_time: 0.0264 memory: 31836 grad_norm: 3.9632 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6795 loss: 1.6795 2022/10/13 22:51:10 - mmengine - INFO - Epoch(train) [17][160/940] lr: 1.0000e-02 eta: 12:03:33 time: 0.5471 data_time: 0.0283 memory: 31836 grad_norm: 4.0289 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7936 loss: 1.7936 2022/10/13 22:51:21 - mmengine - INFO - Epoch(train) [17][180/940] lr: 1.0000e-02 eta: 12:03:22 time: 0.5495 data_time: 0.0238 memory: 31836 grad_norm: 3.8674 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6470 loss: 1.6470 2022/10/13 22:51:32 - mmengine - INFO - Epoch(train) [17][200/940] lr: 1.0000e-02 eta: 12:03:10 time: 0.5428 data_time: 0.0378 memory: 31836 grad_norm: 3.9900 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5371 loss: 1.5371 2022/10/13 22:51:43 - mmengine - INFO - Epoch(train) [17][220/940] lr: 1.0000e-02 eta: 12:02:59 time: 0.5459 data_time: 0.0351 memory: 31836 grad_norm: 3.7982 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5442 loss: 1.5442 2022/10/13 22:51:53 - mmengine - INFO - Epoch(train) [17][240/940] lr: 1.0000e-02 eta: 12:02:46 time: 0.5365 data_time: 0.0221 memory: 31836 grad_norm: 4.0525 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.6990 loss: 1.6990 2022/10/13 22:52:04 - mmengine - INFO - Epoch(train) [17][260/940] lr: 1.0000e-02 eta: 12:02:35 time: 0.5491 data_time: 0.0265 memory: 31836 grad_norm: 3.9453 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.5497 loss: 1.5497 2022/10/13 22:52:15 - mmengine - INFO - Epoch(train) [17][280/940] lr: 1.0000e-02 eta: 12:02:25 time: 0.5562 data_time: 0.0329 memory: 31836 grad_norm: 3.9397 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5177 loss: 1.5177 2022/10/13 22:52:26 - mmengine - INFO - Epoch(train) [17][300/940] lr: 1.0000e-02 eta: 12:02:14 time: 0.5497 data_time: 0.0280 memory: 31836 grad_norm: 3.9932 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6449 loss: 1.6449 2022/10/13 22:52:37 - mmengine - INFO - Epoch(train) [17][320/940] lr: 1.0000e-02 eta: 12:02:01 time: 0.5366 data_time: 0.0321 memory: 31836 grad_norm: 3.8983 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5765 loss: 1.5765 2022/10/13 22:52:48 - mmengine - INFO - Epoch(train) [17][340/940] lr: 1.0000e-02 eta: 12:01:49 time: 0.5421 data_time: 0.0323 memory: 31836 grad_norm: 4.1098 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5652 loss: 1.5652 2022/10/13 22:52:59 - mmengine - INFO - Epoch(train) [17][360/940] lr: 1.0000e-02 eta: 12:01:38 time: 0.5506 data_time: 0.0270 memory: 31836 grad_norm: 3.9775 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6878 loss: 1.6878 2022/10/13 22:53:10 - mmengine - INFO - Epoch(train) [17][380/940] lr: 1.0000e-02 eta: 12:01:26 time: 0.5423 data_time: 0.0271 memory: 31836 grad_norm: 4.0210 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5455 loss: 1.5455 2022/10/13 22:53:21 - mmengine - INFO - Epoch(train) [17][400/940] lr: 1.0000e-02 eta: 12:01:14 time: 0.5409 data_time: 0.0271 memory: 31836 grad_norm: 4.0140 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6449 loss: 1.6449 2022/10/13 22:53:32 - mmengine - INFO - Epoch(train) [17][420/940] lr: 1.0000e-02 eta: 12:01:02 time: 0.5426 data_time: 0.0309 memory: 31836 grad_norm: 3.9198 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5994 loss: 1.5994 2022/10/13 22:53:42 - mmengine - INFO - Epoch(train) [17][440/940] lr: 1.0000e-02 eta: 12:00:50 time: 0.5352 data_time: 0.0275 memory: 31836 grad_norm: 3.9268 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6570 loss: 1.6570 2022/10/13 22:53:53 - mmengine - INFO - Epoch(train) [17][460/940] lr: 1.0000e-02 eta: 12:00:38 time: 0.5421 data_time: 0.0284 memory: 31836 grad_norm: 4.0831 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5243 loss: 1.5243 2022/10/13 22:54:04 - mmengine - INFO - Epoch(train) [17][480/940] lr: 1.0000e-02 eta: 12:00:27 time: 0.5563 data_time: 0.0419 memory: 31836 grad_norm: 3.9869 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4936 loss: 1.4936 2022/10/13 22:54:15 - mmengine - INFO - Epoch(train) [17][500/940] lr: 1.0000e-02 eta: 12:00:15 time: 0.5380 data_time: 0.0311 memory: 31836 grad_norm: 4.0176 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7842 loss: 1.7842 2022/10/13 22:54:26 - mmengine - INFO - Epoch(train) [17][520/940] lr: 1.0000e-02 eta: 12:00:04 time: 0.5505 data_time: 0.0291 memory: 31836 grad_norm: 3.9448 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5513 loss: 1.5513 2022/10/13 22:54:37 - mmengine - INFO - Epoch(train) [17][540/940] lr: 1.0000e-02 eta: 11:59:53 time: 0.5464 data_time: 0.0299 memory: 31836 grad_norm: 3.9889 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6114 loss: 1.6114 2022/10/13 22:54:48 - mmengine - INFO - Epoch(train) [17][560/940] lr: 1.0000e-02 eta: 11:59:41 time: 0.5423 data_time: 0.0262 memory: 31836 grad_norm: 3.9904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4993 loss: 1.4993 2022/10/13 22:55:00 - mmengine - INFO - Epoch(train) [17][580/940] lr: 1.0000e-02 eta: 11:59:36 time: 0.6147 data_time: 0.0255 memory: 31836 grad_norm: 3.9980 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5765 loss: 1.5765 2022/10/13 22:55:11 - mmengine - INFO - Epoch(train) [17][600/940] lr: 1.0000e-02 eta: 11:59:25 time: 0.5497 data_time: 0.0368 memory: 31836 grad_norm: 3.9581 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/10/13 22:55:22 - mmengine - INFO - Epoch(train) [17][620/940] lr: 1.0000e-02 eta: 11:59:13 time: 0.5455 data_time: 0.0297 memory: 31836 grad_norm: 3.9710 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7276 loss: 1.7276 2022/10/13 22:55:33 - mmengine - INFO - Epoch(train) [17][640/940] lr: 1.0000e-02 eta: 11:59:02 time: 0.5430 data_time: 0.0325 memory: 31836 grad_norm: 3.9901 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4854 loss: 1.4854 2022/10/13 22:55:44 - mmengine - INFO - Epoch(train) [17][660/940] lr: 1.0000e-02 eta: 11:58:49 time: 0.5370 data_time: 0.0265 memory: 31836 grad_norm: 4.0027 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.7850 loss: 1.7850 2022/10/13 22:55:54 - mmengine - INFO - Epoch(train) [17][680/940] lr: 1.0000e-02 eta: 11:58:38 time: 0.5473 data_time: 0.0350 memory: 31836 grad_norm: 3.9875 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6555 loss: 1.6555 2022/10/13 22:56:05 - mmengine - INFO - Epoch(train) [17][700/940] lr: 1.0000e-02 eta: 11:58:26 time: 0.5418 data_time: 0.0224 memory: 31836 grad_norm: 4.0427 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7583 loss: 1.7583 2022/10/13 22:56:16 - mmengine - INFO - Epoch(train) [17][720/940] lr: 1.0000e-02 eta: 11:58:14 time: 0.5393 data_time: 0.0270 memory: 31836 grad_norm: 3.9715 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4989 loss: 1.4989 2022/10/13 22:56:27 - mmengine - INFO - Epoch(train) [17][740/940] lr: 1.0000e-02 eta: 11:58:02 time: 0.5449 data_time: 0.0245 memory: 31836 grad_norm: 3.9226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6426 loss: 1.6426 2022/10/13 22:56:38 - mmengine - INFO - Epoch(train) [17][760/940] lr: 1.0000e-02 eta: 11:57:50 time: 0.5416 data_time: 0.0280 memory: 31836 grad_norm: 4.0078 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5204 loss: 1.5204 2022/10/13 22:56:49 - mmengine - INFO - Epoch(train) [17][780/940] lr: 1.0000e-02 eta: 11:57:39 time: 0.5472 data_time: 0.0267 memory: 31836 grad_norm: 3.9415 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.6427 loss: 1.6427 2022/10/13 22:57:00 - mmengine - INFO - Epoch(train) [17][800/940] lr: 1.0000e-02 eta: 11:57:27 time: 0.5409 data_time: 0.0263 memory: 31836 grad_norm: 4.0362 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6606 loss: 1.6606 2022/10/13 22:57:10 - mmengine - INFO - Epoch(train) [17][820/940] lr: 1.0000e-02 eta: 11:57:15 time: 0.5391 data_time: 0.0294 memory: 31836 grad_norm: 3.9197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5567 loss: 1.5567 2022/10/13 22:57:21 - mmengine - INFO - Epoch(train) [17][840/940] lr: 1.0000e-02 eta: 11:57:03 time: 0.5402 data_time: 0.0248 memory: 31836 grad_norm: 3.9758 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7434 loss: 1.7434 2022/10/13 22:57:32 - mmengine - INFO - Epoch(train) [17][860/940] lr: 1.0000e-02 eta: 11:56:50 time: 0.5387 data_time: 0.0297 memory: 31836 grad_norm: 3.9864 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6722 loss: 1.6722 2022/10/13 22:57:43 - mmengine - INFO - Epoch(train) [17][880/940] lr: 1.0000e-02 eta: 11:56:38 time: 0.5374 data_time: 0.0236 memory: 31836 grad_norm: 3.9589 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6777 loss: 1.6777 2022/10/13 22:57:54 - mmengine - INFO - Epoch(train) [17][900/940] lr: 1.0000e-02 eta: 11:56:27 time: 0.5478 data_time: 0.0259 memory: 31836 grad_norm: 3.9707 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6818 loss: 1.6818 2022/10/13 22:58:05 - mmengine - INFO - Epoch(train) [17][920/940] lr: 1.0000e-02 eta: 11:56:16 time: 0.5539 data_time: 0.0273 memory: 31836 grad_norm: 4.0045 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.6280 loss: 1.6280 2022/10/13 22:58:15 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:58:15 - mmengine - INFO - Epoch(train) [17][940/940] lr: 1.0000e-02 eta: 11:56:02 time: 0.5180 data_time: 0.0233 memory: 31836 grad_norm: 4.1906 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.6963 loss: 1.6963 2022/10/13 22:58:29 - mmengine - INFO - Epoch(val) [17][20/78] eta: 0:00:40 time: 0.6950 data_time: 0.5436 memory: 3561 2022/10/13 22:58:37 - mmengine - INFO - Epoch(val) [17][40/78] eta: 0:00:15 time: 0.4078 data_time: 0.2579 memory: 3561 2022/10/13 22:58:49 - mmengine - INFO - Epoch(val) [17][60/78] eta: 0:00:10 time: 0.5715 data_time: 0.4242 memory: 3561 2022/10/13 22:58:58 - mmengine - INFO - Epoch(val) [17][78/78] acc/top1: 0.6466 acc/top5: 0.8547 acc/mean1: 0.6464 2022/10/13 22:59:14 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 22:59:14 - mmengine - INFO - Epoch(train) [18][20/940] lr: 1.0000e-02 eta: 11:56:13 time: 0.7747 data_time: 0.2076 memory: 31836 grad_norm: 4.0202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6771 loss: 1.6771 2022/10/13 22:59:24 - mmengine - INFO - Epoch(train) [18][40/940] lr: 1.0000e-02 eta: 11:56:01 time: 0.5473 data_time: 0.0290 memory: 31836 grad_norm: 3.9387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6526 loss: 1.6526 2022/10/13 22:59:35 - mmengine - INFO - Epoch(train) [18][60/940] lr: 1.0000e-02 eta: 11:55:50 time: 0.5500 data_time: 0.0298 memory: 31836 grad_norm: 4.1068 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5820 loss: 1.5820 2022/10/13 22:59:47 - mmengine - INFO - Epoch(train) [18][80/940] lr: 1.0000e-02 eta: 11:55:39 time: 0.5515 data_time: 0.0261 memory: 31836 grad_norm: 3.9203 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4828 loss: 1.4828 2022/10/13 22:59:57 - mmengine - INFO - Epoch(train) [18][100/940] lr: 1.0000e-02 eta: 11:55:28 time: 0.5494 data_time: 0.0270 memory: 31836 grad_norm: 3.9881 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6169 loss: 1.6169 2022/10/13 23:00:08 - mmengine - INFO - Epoch(train) [18][120/940] lr: 1.0000e-02 eta: 11:55:16 time: 0.5440 data_time: 0.0327 memory: 31836 grad_norm: 3.9772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5691 loss: 1.5691 2022/10/13 23:00:19 - mmengine - INFO - Epoch(train) [18][140/940] lr: 1.0000e-02 eta: 11:55:05 time: 0.5434 data_time: 0.0263 memory: 31836 grad_norm: 4.1158 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/10/13 23:00:30 - mmengine - INFO - Epoch(train) [18][160/940] lr: 1.0000e-02 eta: 11:54:53 time: 0.5422 data_time: 0.0290 memory: 31836 grad_norm: 3.9759 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6285 loss: 1.6285 2022/10/13 23:00:41 - mmengine - INFO - Epoch(train) [18][180/940] lr: 1.0000e-02 eta: 11:54:42 time: 0.5491 data_time: 0.0325 memory: 31836 grad_norm: 4.0487 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6013 loss: 1.6013 2022/10/13 23:00:52 - mmengine - INFO - Epoch(train) [18][200/940] lr: 1.0000e-02 eta: 11:54:31 time: 0.5521 data_time: 0.0271 memory: 31836 grad_norm: 4.0404 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.6507 loss: 1.6507 2022/10/13 23:01:03 - mmengine - INFO - Epoch(train) [18][220/940] lr: 1.0000e-02 eta: 11:54:20 time: 0.5530 data_time: 0.0239 memory: 31836 grad_norm: 3.9914 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/10/13 23:01:14 - mmengine - INFO - Epoch(train) [18][240/940] lr: 1.0000e-02 eta: 11:54:09 time: 0.5527 data_time: 0.0284 memory: 31836 grad_norm: 4.0817 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5483 loss: 1.5483 2022/10/13 23:01:25 - mmengine - INFO - Epoch(train) [18][260/940] lr: 1.0000e-02 eta: 11:53:58 time: 0.5454 data_time: 0.0229 memory: 31836 grad_norm: 4.0234 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/10/13 23:01:36 - mmengine - INFO - Epoch(train) [18][280/940] lr: 1.0000e-02 eta: 11:53:46 time: 0.5485 data_time: 0.0291 memory: 31836 grad_norm: 3.9865 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6193 loss: 1.6193 2022/10/13 23:01:47 - mmengine - INFO - Epoch(train) [18][300/940] lr: 1.0000e-02 eta: 11:53:35 time: 0.5509 data_time: 0.0265 memory: 31836 grad_norm: 4.0186 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5787 loss: 1.5787 2022/10/13 23:01:58 - mmengine - INFO - Epoch(train) [18][320/940] lr: 1.0000e-02 eta: 11:53:24 time: 0.5477 data_time: 0.0340 memory: 31836 grad_norm: 3.9784 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6500 loss: 1.6500 2022/10/13 23:02:09 - mmengine - INFO - Epoch(train) [18][340/940] lr: 1.0000e-02 eta: 11:53:13 time: 0.5491 data_time: 0.0245 memory: 31836 grad_norm: 3.9824 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4708 loss: 1.4708 2022/10/13 23:02:20 - mmengine - INFO - Epoch(train) [18][360/940] lr: 1.0000e-02 eta: 11:53:01 time: 0.5459 data_time: 0.0313 memory: 31836 grad_norm: 4.0057 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5744 loss: 1.5744 2022/10/13 23:02:31 - mmengine - INFO - Epoch(train) [18][380/940] lr: 1.0000e-02 eta: 11:52:50 time: 0.5469 data_time: 0.0287 memory: 31836 grad_norm: 3.9362 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6392 loss: 1.6392 2022/10/13 23:02:42 - mmengine - INFO - Epoch(train) [18][400/940] lr: 1.0000e-02 eta: 11:52:38 time: 0.5415 data_time: 0.0327 memory: 31836 grad_norm: 4.0905 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6257 loss: 1.6257 2022/10/13 23:02:53 - mmengine - INFO - Epoch(train) [18][420/940] lr: 1.0000e-02 eta: 11:52:27 time: 0.5503 data_time: 0.0258 memory: 31836 grad_norm: 3.9056 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.7760 loss: 1.7760 2022/10/13 23:03:04 - mmengine - INFO - Epoch(train) [18][440/940] lr: 1.0000e-02 eta: 11:52:16 time: 0.5479 data_time: 0.0238 memory: 31836 grad_norm: 3.9018 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6501 loss: 1.6501 2022/10/13 23:03:15 - mmengine - INFO - Epoch(train) [18][460/940] lr: 1.0000e-02 eta: 11:52:04 time: 0.5424 data_time: 0.0282 memory: 31836 grad_norm: 4.0409 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7205 loss: 1.7205 2022/10/13 23:03:26 - mmengine - INFO - Epoch(train) [18][480/940] lr: 1.0000e-02 eta: 11:51:53 time: 0.5492 data_time: 0.0320 memory: 31836 grad_norm: 4.0472 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5970 loss: 1.5970 2022/10/13 23:03:36 - mmengine - INFO - Epoch(train) [18][500/940] lr: 1.0000e-02 eta: 11:51:41 time: 0.5472 data_time: 0.0357 memory: 31836 grad_norm: 4.1081 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5400 loss: 1.5400 2022/10/13 23:03:47 - mmengine - INFO - Epoch(train) [18][520/940] lr: 1.0000e-02 eta: 11:51:29 time: 0.5419 data_time: 0.0282 memory: 31836 grad_norm: 4.0709 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6010 loss: 1.6010 2022/10/13 23:03:58 - mmengine - INFO - Epoch(train) [18][540/940] lr: 1.0000e-02 eta: 11:51:18 time: 0.5416 data_time: 0.0256 memory: 31836 grad_norm: 3.9077 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4760 loss: 1.4760 2022/10/13 23:04:09 - mmengine - INFO - Epoch(train) [18][560/940] lr: 1.0000e-02 eta: 11:51:07 time: 0.5526 data_time: 0.0330 memory: 31836 grad_norm: 4.0009 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5064 loss: 1.5064 2022/10/13 23:04:20 - mmengine - INFO - Epoch(train) [18][580/940] lr: 1.0000e-02 eta: 11:50:56 time: 0.5559 data_time: 0.0261 memory: 31836 grad_norm: 4.0888 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.7299 loss: 1.7299 2022/10/13 23:04:32 - mmengine - INFO - Epoch(train) [18][600/940] lr: 1.0000e-02 eta: 11:50:46 time: 0.5592 data_time: 0.0272 memory: 31836 grad_norm: 4.0944 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5744 loss: 1.5744 2022/10/13 23:04:42 - mmengine - INFO - Epoch(train) [18][620/940] lr: 1.0000e-02 eta: 11:50:34 time: 0.5421 data_time: 0.0302 memory: 31836 grad_norm: 4.1218 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5941 loss: 1.5941 2022/10/13 23:04:53 - mmengine - INFO - Epoch(train) [18][640/940] lr: 1.0000e-02 eta: 11:50:22 time: 0.5433 data_time: 0.0247 memory: 31836 grad_norm: 4.0137 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6601 loss: 1.6601 2022/10/13 23:05:04 - mmengine - INFO - Epoch(train) [18][660/940] lr: 1.0000e-02 eta: 11:50:10 time: 0.5415 data_time: 0.0311 memory: 31836 grad_norm: 4.0313 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5920 loss: 1.5920 2022/10/13 23:05:15 - mmengine - INFO - Epoch(train) [18][680/940] lr: 1.0000e-02 eta: 11:49:59 time: 0.5484 data_time: 0.0277 memory: 31836 grad_norm: 3.9754 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6650 loss: 1.6650 2022/10/13 23:05:26 - mmengine - INFO - Epoch(train) [18][700/940] lr: 1.0000e-02 eta: 11:49:48 time: 0.5443 data_time: 0.0292 memory: 31836 grad_norm: 4.0484 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6779 loss: 1.6779 2022/10/13 23:05:37 - mmengine - INFO - Epoch(train) [18][720/940] lr: 1.0000e-02 eta: 11:49:37 time: 0.5525 data_time: 0.0355 memory: 31836 grad_norm: 4.0335 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.7704 loss: 1.7704 2022/10/13 23:05:48 - mmengine - INFO - Epoch(train) [18][740/940] lr: 1.0000e-02 eta: 11:49:25 time: 0.5446 data_time: 0.0299 memory: 31836 grad_norm: 3.9272 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6177 loss: 1.6177 2022/10/13 23:05:59 - mmengine - INFO - Epoch(train) [18][760/940] lr: 1.0000e-02 eta: 11:49:13 time: 0.5387 data_time: 0.0269 memory: 31836 grad_norm: 4.0367 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6020 loss: 1.6020 2022/10/13 23:06:10 - mmengine - INFO - Epoch(train) [18][780/940] lr: 1.0000e-02 eta: 11:49:02 time: 0.5481 data_time: 0.0290 memory: 31836 grad_norm: 4.0439 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4930 loss: 1.4930 2022/10/13 23:06:20 - mmengine - INFO - Epoch(train) [18][800/940] lr: 1.0000e-02 eta: 11:48:50 time: 0.5376 data_time: 0.0263 memory: 31836 grad_norm: 4.1006 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.6211 loss: 1.6211 2022/10/13 23:06:31 - mmengine - INFO - Epoch(train) [18][820/940] lr: 1.0000e-02 eta: 11:48:38 time: 0.5440 data_time: 0.0278 memory: 31836 grad_norm: 4.0605 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6592 loss: 1.6592 2022/10/13 23:06:42 - mmengine - INFO - Epoch(train) [18][840/940] lr: 1.0000e-02 eta: 11:48:26 time: 0.5423 data_time: 0.0244 memory: 31836 grad_norm: 4.0187 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5776 loss: 1.5776 2022/10/13 23:06:53 - mmengine - INFO - Epoch(train) [18][860/940] lr: 1.0000e-02 eta: 11:48:16 time: 0.5629 data_time: 0.0299 memory: 31836 grad_norm: 4.0652 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5452 loss: 1.5452 2022/10/13 23:07:04 - mmengine - INFO - Epoch(train) [18][880/940] lr: 1.0000e-02 eta: 11:48:05 time: 0.5443 data_time: 0.0269 memory: 31836 grad_norm: 4.0385 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4067 loss: 1.4067 2022/10/13 23:07:15 - mmengine - INFO - Epoch(train) [18][900/940] lr: 1.0000e-02 eta: 11:47:53 time: 0.5424 data_time: 0.0252 memory: 31836 grad_norm: 3.9673 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5758 loss: 1.5758 2022/10/13 23:07:26 - mmengine - INFO - Epoch(train) [18][920/940] lr: 1.0000e-02 eta: 11:47:41 time: 0.5401 data_time: 0.0294 memory: 31836 grad_norm: 4.0004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5862 loss: 1.5862 2022/10/13 23:07:36 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:07:36 - mmengine - INFO - Epoch(train) [18][940/940] lr: 1.0000e-02 eta: 11:47:26 time: 0.5066 data_time: 0.0247 memory: 31836 grad_norm: 4.2858 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7598 loss: 1.7598 2022/10/13 23:07:36 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/10/13 23:07:50 - mmengine - INFO - Epoch(val) [18][20/78] eta: 0:00:35 time: 0.6103 data_time: 0.4615 memory: 3561 2022/10/13 23:07:59 - mmengine - INFO - Epoch(val) [18][40/78] eta: 0:00:17 time: 0.4482 data_time: 0.2982 memory: 3561 2022/10/13 23:08:10 - mmengine - INFO - Epoch(val) [18][60/78] eta: 0:00:10 time: 0.5761 data_time: 0.4273 memory: 3561 2022/10/13 23:08:19 - mmengine - INFO - Epoch(val) [18][78/78] acc/top1: 0.6578 acc/top5: 0.8596 acc/mean1: 0.6577 2022/10/13 23:08:19 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_16.pth is removed 2022/10/13 23:08:20 - mmengine - INFO - The best checkpoint with 0.6578 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/10/13 23:08:35 - mmengine - INFO - Epoch(train) [19][20/940] lr: 1.0000e-02 eta: 11:47:32 time: 0.7346 data_time: 0.2063 memory: 31836 grad_norm: 4.0297 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.6196 loss: 1.6196 2022/10/13 23:08:46 - mmengine - INFO - Epoch(train) [19][40/940] lr: 1.0000e-02 eta: 11:47:20 time: 0.5484 data_time: 0.0302 memory: 31836 grad_norm: 3.9839 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5892 loss: 1.5892 2022/10/13 23:08:57 - mmengine - INFO - Epoch(train) [19][60/940] lr: 1.0000e-02 eta: 11:47:10 time: 0.5595 data_time: 0.0355 memory: 31836 grad_norm: 4.0484 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5359 loss: 1.5359 2022/10/13 23:09:08 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:09:08 - mmengine - INFO - Epoch(train) [19][80/940] lr: 1.0000e-02 eta: 11:46:59 time: 0.5560 data_time: 0.0326 memory: 31836 grad_norm: 3.9060 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5806 loss: 1.5806 2022/10/13 23:09:19 - mmengine - INFO - Epoch(train) [19][100/940] lr: 1.0000e-02 eta: 11:46:49 time: 0.5579 data_time: 0.0325 memory: 31836 grad_norm: 4.0032 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5475 loss: 1.5475 2022/10/13 23:09:30 - mmengine - INFO - Epoch(train) [19][120/940] lr: 1.0000e-02 eta: 11:46:38 time: 0.5492 data_time: 0.0244 memory: 31836 grad_norm: 4.0589 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5401 loss: 1.5401 2022/10/13 23:09:41 - mmengine - INFO - Epoch(train) [19][140/940] lr: 1.0000e-02 eta: 11:46:26 time: 0.5402 data_time: 0.0249 memory: 31836 grad_norm: 4.0692 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4623 loss: 1.4623 2022/10/13 23:09:52 - mmengine - INFO - Epoch(train) [19][160/940] lr: 1.0000e-02 eta: 11:46:14 time: 0.5429 data_time: 0.0270 memory: 31836 grad_norm: 3.9222 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5288 loss: 1.5288 2022/10/13 23:10:03 - mmengine - INFO - Epoch(train) [19][180/940] lr: 1.0000e-02 eta: 11:46:03 time: 0.5470 data_time: 0.0289 memory: 31836 grad_norm: 3.9936 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5014 loss: 1.5014 2022/10/13 23:10:14 - mmengine - INFO - Epoch(train) [19][200/940] lr: 1.0000e-02 eta: 11:45:52 time: 0.5499 data_time: 0.0330 memory: 31836 grad_norm: 4.0044 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6690 loss: 1.6690 2022/10/13 23:10:25 - mmengine - INFO - Epoch(train) [19][220/940] lr: 1.0000e-02 eta: 11:45:40 time: 0.5452 data_time: 0.0343 memory: 31836 grad_norm: 3.9662 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5146 loss: 1.5146 2022/10/13 23:10:36 - mmengine - INFO - Epoch(train) [19][240/940] lr: 1.0000e-02 eta: 11:45:29 time: 0.5455 data_time: 0.0246 memory: 31836 grad_norm: 4.1747 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5972 loss: 1.5972 2022/10/13 23:10:46 - mmengine - INFO - Epoch(train) [19][260/940] lr: 1.0000e-02 eta: 11:45:17 time: 0.5394 data_time: 0.0279 memory: 31836 grad_norm: 4.1037 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6765 loss: 1.6765 2022/10/13 23:10:58 - mmengine - INFO - Epoch(train) [19][280/940] lr: 1.0000e-02 eta: 11:45:06 time: 0.5532 data_time: 0.0247 memory: 31836 grad_norm: 3.9594 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4767 loss: 1.4767 2022/10/13 23:11:08 - mmengine - INFO - Epoch(train) [19][300/940] lr: 1.0000e-02 eta: 11:44:54 time: 0.5394 data_time: 0.0262 memory: 31836 grad_norm: 3.9908 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5385 loss: 1.5385 2022/10/13 23:11:19 - mmengine - INFO - Epoch(train) [19][320/940] lr: 1.0000e-02 eta: 11:44:43 time: 0.5506 data_time: 0.0288 memory: 31836 grad_norm: 3.9777 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6230 loss: 1.6230 2022/10/13 23:11:30 - mmengine - INFO - Epoch(train) [19][340/940] lr: 1.0000e-02 eta: 11:44:31 time: 0.5414 data_time: 0.0292 memory: 31836 grad_norm: 4.0284 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7000 loss: 1.7000 2022/10/13 23:11:41 - mmengine - INFO - Epoch(train) [19][360/940] lr: 1.0000e-02 eta: 11:44:19 time: 0.5407 data_time: 0.0232 memory: 31836 grad_norm: 4.0180 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5364 loss: 1.5364 2022/10/13 23:11:52 - mmengine - INFO - Epoch(train) [19][380/940] lr: 1.0000e-02 eta: 11:44:07 time: 0.5408 data_time: 0.0280 memory: 31836 grad_norm: 4.0662 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6034 loss: 1.6034 2022/10/13 23:12:03 - mmengine - INFO - Epoch(train) [19][400/940] lr: 1.0000e-02 eta: 11:43:55 time: 0.5421 data_time: 0.0306 memory: 31836 grad_norm: 4.0353 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4960 loss: 1.4960 2022/10/13 23:12:14 - mmengine - INFO - Epoch(train) [19][420/940] lr: 1.0000e-02 eta: 11:43:44 time: 0.5505 data_time: 0.0328 memory: 31836 grad_norm: 3.9768 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5044 loss: 1.5044 2022/10/13 23:12:24 - mmengine - INFO - Epoch(train) [19][440/940] lr: 1.0000e-02 eta: 11:43:32 time: 0.5421 data_time: 0.0251 memory: 31836 grad_norm: 4.0479 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6288 loss: 1.6288 2022/10/13 23:12:35 - mmengine - INFO - Epoch(train) [19][460/940] lr: 1.0000e-02 eta: 11:43:21 time: 0.5458 data_time: 0.0307 memory: 31836 grad_norm: 4.1539 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5462 loss: 1.5462 2022/10/13 23:12:46 - mmengine - INFO - Epoch(train) [19][480/940] lr: 1.0000e-02 eta: 11:43:09 time: 0.5425 data_time: 0.0252 memory: 31836 grad_norm: 4.0023 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5588 loss: 1.5588 2022/10/13 23:12:57 - mmengine - INFO - Epoch(train) [19][500/940] lr: 1.0000e-02 eta: 11:42:58 time: 0.5446 data_time: 0.0303 memory: 31836 grad_norm: 4.0424 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6993 loss: 1.6993 2022/10/13 23:13:08 - mmengine - INFO - Epoch(train) [19][520/940] lr: 1.0000e-02 eta: 11:42:47 time: 0.5491 data_time: 0.0255 memory: 31836 grad_norm: 4.0413 top1_acc: 0.4688 top5_acc: 0.9062 loss_cls: 1.5394 loss: 1.5394 2022/10/13 23:13:19 - mmengine - INFO - Epoch(train) [19][540/940] lr: 1.0000e-02 eta: 11:42:36 time: 0.5574 data_time: 0.0249 memory: 31836 grad_norm: 3.9855 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6553 loss: 1.6553 2022/10/13 23:13:30 - mmengine - INFO - Epoch(train) [19][560/940] lr: 1.0000e-02 eta: 11:42:24 time: 0.5374 data_time: 0.0274 memory: 31836 grad_norm: 4.0030 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5494 loss: 1.5494 2022/10/13 23:13:41 - mmengine - INFO - Epoch(train) [19][580/940] lr: 1.0000e-02 eta: 11:42:12 time: 0.5396 data_time: 0.0240 memory: 31836 grad_norm: 4.0999 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5757 loss: 1.5757 2022/10/13 23:13:52 - mmengine - INFO - Epoch(train) [19][600/940] lr: 1.0000e-02 eta: 11:42:01 time: 0.5482 data_time: 0.0288 memory: 31836 grad_norm: 4.1191 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6556 loss: 1.6556 2022/10/13 23:14:03 - mmengine - INFO - Epoch(train) [19][620/940] lr: 1.0000e-02 eta: 11:41:49 time: 0.5380 data_time: 0.0285 memory: 31836 grad_norm: 4.0515 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5215 loss: 1.5215 2022/10/13 23:14:14 - mmengine - INFO - Epoch(train) [19][640/940] lr: 1.0000e-02 eta: 11:41:38 time: 0.5505 data_time: 0.0368 memory: 31836 grad_norm: 3.9953 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4602 loss: 1.4602 2022/10/13 23:14:25 - mmengine - INFO - Epoch(train) [19][660/940] lr: 1.0000e-02 eta: 11:41:27 time: 0.5523 data_time: 0.0343 memory: 31836 grad_norm: 4.0393 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5722 loss: 1.5722 2022/10/13 23:14:36 - mmengine - INFO - Epoch(train) [19][680/940] lr: 1.0000e-02 eta: 11:41:15 time: 0.5474 data_time: 0.0328 memory: 31836 grad_norm: 4.1321 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5325 loss: 1.5325 2022/10/13 23:14:47 - mmengine - INFO - Epoch(train) [19][700/940] lr: 1.0000e-02 eta: 11:41:05 time: 0.5556 data_time: 0.0303 memory: 31836 grad_norm: 4.1086 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6538 loss: 1.6538 2022/10/13 23:14:58 - mmengine - INFO - Epoch(train) [19][720/940] lr: 1.0000e-02 eta: 11:40:54 time: 0.5547 data_time: 0.0242 memory: 31836 grad_norm: 4.1983 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5769 loss: 1.5769 2022/10/13 23:15:09 - mmengine - INFO - Epoch(train) [19][740/940] lr: 1.0000e-02 eta: 11:40:42 time: 0.5424 data_time: 0.0272 memory: 31836 grad_norm: 3.9932 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.5270 loss: 1.5270 2022/10/13 23:15:19 - mmengine - INFO - Epoch(train) [19][760/940] lr: 1.0000e-02 eta: 11:40:31 time: 0.5450 data_time: 0.0290 memory: 31836 grad_norm: 4.1653 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5739 loss: 1.5739 2022/10/13 23:15:31 - mmengine - INFO - Epoch(train) [19][780/940] lr: 1.0000e-02 eta: 11:40:20 time: 0.5512 data_time: 0.0251 memory: 31836 grad_norm: 4.0283 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5564 loss: 1.5564 2022/10/13 23:15:41 - mmengine - INFO - Epoch(train) [19][800/940] lr: 1.0000e-02 eta: 11:40:08 time: 0.5459 data_time: 0.0344 memory: 31836 grad_norm: 3.9759 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5655 loss: 1.5655 2022/10/13 23:15:52 - mmengine - INFO - Epoch(train) [19][820/940] lr: 1.0000e-02 eta: 11:39:57 time: 0.5404 data_time: 0.0306 memory: 31836 grad_norm: 4.0803 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6332 loss: 1.6332 2022/10/13 23:16:03 - mmengine - INFO - Epoch(train) [19][840/940] lr: 1.0000e-02 eta: 11:39:46 time: 0.5518 data_time: 0.0309 memory: 31836 grad_norm: 4.0643 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5187 loss: 1.5187 2022/10/13 23:16:14 - mmengine - INFO - Epoch(train) [19][860/940] lr: 1.0000e-02 eta: 11:39:34 time: 0.5393 data_time: 0.0240 memory: 31836 grad_norm: 4.0194 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5782 loss: 1.5782 2022/10/13 23:16:25 - mmengine - INFO - Epoch(train) [19][880/940] lr: 1.0000e-02 eta: 11:39:22 time: 0.5402 data_time: 0.0316 memory: 31836 grad_norm: 3.9896 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.5024 loss: 1.5024 2022/10/13 23:16:36 - mmengine - INFO - Epoch(train) [19][900/940] lr: 1.0000e-02 eta: 11:39:11 time: 0.5506 data_time: 0.0359 memory: 31836 grad_norm: 4.0363 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6020 loss: 1.6020 2022/10/13 23:16:47 - mmengine - INFO - Epoch(train) [19][920/940] lr: 1.0000e-02 eta: 11:38:59 time: 0.5451 data_time: 0.0333 memory: 31836 grad_norm: 4.1082 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5959 loss: 1.5959 2022/10/13 23:16:57 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:16:57 - mmengine - INFO - Epoch(train) [19][940/940] lr: 1.0000e-02 eta: 11:38:45 time: 0.5105 data_time: 0.0219 memory: 31836 grad_norm: 4.1780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5242 loss: 1.5242 2022/10/13 23:17:11 - mmengine - INFO - Epoch(val) [19][20/78] eta: 0:00:39 time: 0.6801 data_time: 0.5312 memory: 3561 2022/10/13 23:17:19 - mmengine - INFO - Epoch(val) [19][40/78] eta: 0:00:15 time: 0.4115 data_time: 0.2615 memory: 3561 2022/10/13 23:17:30 - mmengine - INFO - Epoch(val) [19][60/78] eta: 0:00:09 time: 0.5545 data_time: 0.4050 memory: 3561 2022/10/13 23:17:41 - mmengine - INFO - Epoch(val) [19][78/78] acc/top1: 0.6600 acc/top5: 0.8644 acc/mean1: 0.6598 2022/10/13 23:17:41 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_18.pth is removed 2022/10/13 23:17:42 - mmengine - INFO - The best checkpoint with 0.6600 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/10/13 23:17:57 - mmengine - INFO - Epoch(train) [20][20/940] lr: 1.0000e-02 eta: 11:38:54 time: 0.7842 data_time: 0.2132 memory: 31836 grad_norm: 3.9451 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5836 loss: 1.5836 2022/10/13 23:18:09 - mmengine - INFO - Epoch(train) [20][40/940] lr: 1.0000e-02 eta: 11:38:44 time: 0.5644 data_time: 0.0249 memory: 31836 grad_norm: 3.9565 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4802 loss: 1.4802 2022/10/13 23:18:20 - mmengine - INFO - Epoch(train) [20][60/940] lr: 1.0000e-02 eta: 11:38:33 time: 0.5563 data_time: 0.0316 memory: 31836 grad_norm: 4.1051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/10/13 23:18:31 - mmengine - INFO - Epoch(train) [20][80/940] lr: 1.0000e-02 eta: 11:38:22 time: 0.5436 data_time: 0.0258 memory: 31836 grad_norm: 4.0698 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3991 loss: 1.3991 2022/10/13 23:18:41 - mmengine - INFO - Epoch(train) [20][100/940] lr: 1.0000e-02 eta: 11:38:10 time: 0.5470 data_time: 0.0289 memory: 31836 grad_norm: 4.1286 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4543 loss: 1.4543 2022/10/13 23:18:52 - mmengine - INFO - Epoch(train) [20][120/940] lr: 1.0000e-02 eta: 11:37:59 time: 0.5449 data_time: 0.0289 memory: 31836 grad_norm: 4.0487 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5428 loss: 1.5428 2022/10/13 23:19:03 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:19:03 - mmengine - INFO - Epoch(train) [20][140/940] lr: 1.0000e-02 eta: 11:37:47 time: 0.5437 data_time: 0.0288 memory: 31836 grad_norm: 3.9489 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.5919 loss: 1.5919 2022/10/13 23:19:14 - mmengine - INFO - Epoch(train) [20][160/940] lr: 1.0000e-02 eta: 11:37:36 time: 0.5485 data_time: 0.0274 memory: 31836 grad_norm: 3.9151 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4580 loss: 1.4580 2022/10/13 23:19:25 - mmengine - INFO - Epoch(train) [20][180/940] lr: 1.0000e-02 eta: 11:37:24 time: 0.5403 data_time: 0.0325 memory: 31836 grad_norm: 4.0731 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7027 loss: 1.7027 2022/10/13 23:19:36 - mmengine - INFO - Epoch(train) [20][200/940] lr: 1.0000e-02 eta: 11:37:12 time: 0.5412 data_time: 0.0269 memory: 31836 grad_norm: 4.0700 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5430 loss: 1.5430 2022/10/13 23:19:47 - mmengine - INFO - Epoch(train) [20][220/940] lr: 1.0000e-02 eta: 11:37:01 time: 0.5474 data_time: 0.0269 memory: 31836 grad_norm: 4.0825 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5140 loss: 1.5140 2022/10/13 23:19:58 - mmengine - INFO - Epoch(train) [20][240/940] lr: 1.0000e-02 eta: 11:36:49 time: 0.5463 data_time: 0.0278 memory: 31836 grad_norm: 4.0059 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5615 loss: 1.5615 2022/10/13 23:20:09 - mmengine - INFO - Epoch(train) [20][260/940] lr: 1.0000e-02 eta: 11:36:37 time: 0.5401 data_time: 0.0257 memory: 31836 grad_norm: 4.0901 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5707 loss: 1.5707 2022/10/13 23:20:20 - mmengine - INFO - Epoch(train) [20][280/940] lr: 1.0000e-02 eta: 11:36:26 time: 0.5504 data_time: 0.0347 memory: 31836 grad_norm: 4.0481 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4462 loss: 1.4462 2022/10/13 23:20:31 - mmengine - INFO - Epoch(train) [20][300/940] lr: 1.0000e-02 eta: 11:36:16 time: 0.5573 data_time: 0.0287 memory: 31836 grad_norm: 4.0789 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6072 loss: 1.6072 2022/10/13 23:20:42 - mmengine - INFO - Epoch(train) [20][320/940] lr: 1.0000e-02 eta: 11:36:06 time: 0.5642 data_time: 0.0301 memory: 31836 grad_norm: 4.1155 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6046 loss: 1.6046 2022/10/13 23:20:53 - mmengine - INFO - Epoch(train) [20][340/940] lr: 1.0000e-02 eta: 11:35:55 time: 0.5459 data_time: 0.0259 memory: 31836 grad_norm: 4.0812 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5612 loss: 1.5612 2022/10/13 23:21:04 - mmengine - INFO - Epoch(train) [20][360/940] lr: 1.0000e-02 eta: 11:35:43 time: 0.5439 data_time: 0.0300 memory: 31836 grad_norm: 4.1086 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.6116 loss: 1.6116 2022/10/13 23:21:15 - mmengine - INFO - Epoch(train) [20][380/940] lr: 1.0000e-02 eta: 11:35:31 time: 0.5421 data_time: 0.0289 memory: 31836 grad_norm: 4.0842 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4552 loss: 1.4552 2022/10/13 23:21:26 - mmengine - INFO - Epoch(train) [20][400/940] lr: 1.0000e-02 eta: 11:35:20 time: 0.5453 data_time: 0.0241 memory: 31836 grad_norm: 3.9993 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6356 loss: 1.6356 2022/10/13 23:21:36 - mmengine - INFO - Epoch(train) [20][420/940] lr: 1.0000e-02 eta: 11:35:08 time: 0.5408 data_time: 0.0269 memory: 31836 grad_norm: 4.0989 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5736 loss: 1.5736 2022/10/13 23:21:47 - mmengine - INFO - Epoch(train) [20][440/940] lr: 1.0000e-02 eta: 11:34:56 time: 0.5414 data_time: 0.0281 memory: 31836 grad_norm: 4.0888 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7631 loss: 1.7631 2022/10/13 23:21:58 - mmengine - INFO - Epoch(train) [20][460/940] lr: 1.0000e-02 eta: 11:34:44 time: 0.5390 data_time: 0.0253 memory: 31836 grad_norm: 3.9982 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4981 loss: 1.4981 2022/10/13 23:22:09 - mmengine - INFO - Epoch(train) [20][480/940] lr: 1.0000e-02 eta: 11:34:32 time: 0.5413 data_time: 0.0271 memory: 31836 grad_norm: 4.0997 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4544 loss: 1.4544 2022/10/13 23:22:20 - mmengine - INFO - Epoch(train) [20][500/940] lr: 1.0000e-02 eta: 11:34:21 time: 0.5461 data_time: 0.0270 memory: 31836 grad_norm: 4.0848 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5920 loss: 1.5920 2022/10/13 23:22:31 - mmengine - INFO - Epoch(train) [20][520/940] lr: 1.0000e-02 eta: 11:34:09 time: 0.5432 data_time: 0.0330 memory: 31836 grad_norm: 4.1518 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5984 loss: 1.5984 2022/10/13 23:22:41 - mmengine - INFO - Epoch(train) [20][540/940] lr: 1.0000e-02 eta: 11:33:57 time: 0.5376 data_time: 0.0252 memory: 31836 grad_norm: 4.1318 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5268 loss: 1.5268 2022/10/13 23:22:52 - mmengine - INFO - Epoch(train) [20][560/940] lr: 1.0000e-02 eta: 11:33:45 time: 0.5418 data_time: 0.0291 memory: 31836 grad_norm: 4.0812 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6791 loss: 1.6791 2022/10/13 23:23:03 - mmengine - INFO - Epoch(train) [20][580/940] lr: 1.0000e-02 eta: 11:33:34 time: 0.5444 data_time: 0.0313 memory: 31836 grad_norm: 3.9799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5559 loss: 1.5559 2022/10/13 23:23:14 - mmengine - INFO - Epoch(train) [20][600/940] lr: 1.0000e-02 eta: 11:33:22 time: 0.5452 data_time: 0.0282 memory: 31836 grad_norm: 4.1273 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6551 loss: 1.6551 2022/10/13 23:23:25 - mmengine - INFO - Epoch(train) [20][620/940] lr: 1.0000e-02 eta: 11:33:11 time: 0.5441 data_time: 0.0307 memory: 31836 grad_norm: 4.0281 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5297 loss: 1.5297 2022/10/13 23:23:36 - mmengine - INFO - Epoch(train) [20][640/940] lr: 1.0000e-02 eta: 11:32:59 time: 0.5404 data_time: 0.0319 memory: 31836 grad_norm: 4.1846 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5739 loss: 1.5739 2022/10/13 23:23:46 - mmengine - INFO - Epoch(train) [20][660/940] lr: 1.0000e-02 eta: 11:32:47 time: 0.5402 data_time: 0.0309 memory: 31836 grad_norm: 4.1655 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6508 loss: 1.6508 2022/10/13 23:23:57 - mmengine - INFO - Epoch(train) [20][680/940] lr: 1.0000e-02 eta: 11:32:36 time: 0.5506 data_time: 0.0272 memory: 31836 grad_norm: 4.0434 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5731 loss: 1.5731 2022/10/13 23:24:08 - mmengine - INFO - Epoch(train) [20][700/940] lr: 1.0000e-02 eta: 11:32:25 time: 0.5496 data_time: 0.0263 memory: 31836 grad_norm: 4.0312 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4920 loss: 1.4920 2022/10/13 23:24:19 - mmengine - INFO - Epoch(train) [20][720/940] lr: 1.0000e-02 eta: 11:32:14 time: 0.5467 data_time: 0.0248 memory: 31836 grad_norm: 4.1328 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6733 loss: 1.6733 2022/10/13 23:24:30 - mmengine - INFO - Epoch(train) [20][740/940] lr: 1.0000e-02 eta: 11:32:02 time: 0.5431 data_time: 0.0289 memory: 31836 grad_norm: 4.0667 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5532 loss: 1.5532 2022/10/13 23:24:41 - mmengine - INFO - Epoch(train) [20][760/940] lr: 1.0000e-02 eta: 11:31:51 time: 0.5477 data_time: 0.0294 memory: 31836 grad_norm: 4.0290 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6766 loss: 1.6766 2022/10/13 23:24:52 - mmengine - INFO - Epoch(train) [20][780/940] lr: 1.0000e-02 eta: 11:31:39 time: 0.5401 data_time: 0.0311 memory: 31836 grad_norm: 4.0663 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7404 loss: 1.7404 2022/10/13 23:25:03 - mmengine - INFO - Epoch(train) [20][800/940] lr: 1.0000e-02 eta: 11:31:27 time: 0.5406 data_time: 0.0250 memory: 31836 grad_norm: 3.9798 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.7063 loss: 1.7063 2022/10/13 23:25:14 - mmengine - INFO - Epoch(train) [20][820/940] lr: 1.0000e-02 eta: 11:31:16 time: 0.5507 data_time: 0.0295 memory: 31836 grad_norm: 4.0946 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4136 loss: 1.4136 2022/10/13 23:25:25 - mmengine - INFO - Epoch(train) [20][840/940] lr: 1.0000e-02 eta: 11:31:04 time: 0.5423 data_time: 0.0219 memory: 31836 grad_norm: 4.0586 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6562 loss: 1.6562 2022/10/13 23:25:35 - mmengine - INFO - Epoch(train) [20][860/940] lr: 1.0000e-02 eta: 11:30:52 time: 0.5373 data_time: 0.0278 memory: 31836 grad_norm: 4.0656 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6710 loss: 1.6710 2022/10/13 23:25:46 - mmengine - INFO - Epoch(train) [20][880/940] lr: 1.0000e-02 eta: 11:30:41 time: 0.5488 data_time: 0.0267 memory: 31836 grad_norm: 4.0381 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6314 loss: 1.6314 2022/10/13 23:25:57 - mmengine - INFO - Epoch(train) [20][900/940] lr: 1.0000e-02 eta: 11:30:30 time: 0.5440 data_time: 0.0290 memory: 31836 grad_norm: 4.0566 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5754 loss: 1.5754 2022/10/13 23:26:08 - mmengine - INFO - Epoch(train) [20][920/940] lr: 1.0000e-02 eta: 11:30:18 time: 0.5403 data_time: 0.0249 memory: 31836 grad_norm: 4.0987 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5774 loss: 1.5774 2022/10/13 23:26:18 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:26:18 - mmengine - INFO - Epoch(train) [20][940/940] lr: 1.0000e-02 eta: 11:30:04 time: 0.5134 data_time: 0.0213 memory: 31836 grad_norm: 4.2930 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.7607 loss: 1.7607 2022/10/13 23:26:31 - mmengine - INFO - Epoch(val) [20][20/78] eta: 0:00:36 time: 0.6333 data_time: 0.4818 memory: 3561 2022/10/13 23:26:40 - mmengine - INFO - Epoch(val) [20][40/78] eta: 0:00:17 time: 0.4488 data_time: 0.2989 memory: 3561 2022/10/13 23:26:51 - mmengine - INFO - Epoch(val) [20][60/78] eta: 0:00:09 time: 0.5382 data_time: 0.3896 memory: 3561 2022/10/13 23:27:01 - mmengine - INFO - Epoch(val) [20][78/78] acc/top1: 0.6561 acc/top5: 0.8642 acc/mean1: 0.6560 2022/10/13 23:27:17 - mmengine - INFO - Epoch(train) [21][20/940] lr: 1.0000e-02 eta: 11:30:12 time: 0.7964 data_time: 0.2275 memory: 31836 grad_norm: 4.0649 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6091 loss: 1.6091 2022/10/13 23:27:29 - mmengine - INFO - Epoch(train) [21][40/940] lr: 1.0000e-02 eta: 11:30:02 time: 0.5550 data_time: 0.0241 memory: 31836 grad_norm: 4.0379 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.4806 loss: 1.4806 2022/10/13 23:27:41 - mmengine - INFO - Epoch(train) [21][60/940] lr: 1.0000e-02 eta: 11:29:58 time: 0.6471 data_time: 0.0280 memory: 31836 grad_norm: 3.9328 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4330 loss: 1.4330 2022/10/13 23:27:53 - mmengine - INFO - Epoch(train) [21][80/940] lr: 1.0000e-02 eta: 11:29:47 time: 0.5528 data_time: 0.0232 memory: 31836 grad_norm: 4.0869 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5199 loss: 1.5199 2022/10/13 23:28:04 - mmengine - INFO - Epoch(train) [21][100/940] lr: 1.0000e-02 eta: 11:29:37 time: 0.5515 data_time: 0.0253 memory: 31836 grad_norm: 4.0361 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5585 loss: 1.5585 2022/10/13 23:28:15 - mmengine - INFO - Epoch(train) [21][120/940] lr: 1.0000e-02 eta: 11:29:25 time: 0.5479 data_time: 0.0276 memory: 31836 grad_norm: 4.1002 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6070 loss: 1.6070 2022/10/13 23:28:25 - mmengine - INFO - Epoch(train) [21][140/940] lr: 1.0000e-02 eta: 11:29:14 time: 0.5457 data_time: 0.0276 memory: 31836 grad_norm: 4.1578 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7099 loss: 1.7099 2022/10/13 23:28:36 - mmengine - INFO - Epoch(train) [21][160/940] lr: 1.0000e-02 eta: 11:29:02 time: 0.5461 data_time: 0.0262 memory: 31836 grad_norm: 4.1153 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5313 loss: 1.5313 2022/10/13 23:28:47 - mmengine - INFO - Epoch(train) [21][180/940] lr: 1.0000e-02 eta: 11:28:51 time: 0.5476 data_time: 0.0271 memory: 31836 grad_norm: 4.0717 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4587 loss: 1.4587 2022/10/13 23:28:58 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:28:58 - mmengine - INFO - Epoch(train) [21][200/940] lr: 1.0000e-02 eta: 11:28:39 time: 0.5422 data_time: 0.0256 memory: 31836 grad_norm: 4.0953 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4779 loss: 1.4779 2022/10/13 23:29:09 - mmengine - INFO - Epoch(train) [21][220/940] lr: 1.0000e-02 eta: 11:28:28 time: 0.5495 data_time: 0.0300 memory: 31836 grad_norm: 4.0478 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4977 loss: 1.4977 2022/10/13 23:29:20 - mmengine - INFO - Epoch(train) [21][240/940] lr: 1.0000e-02 eta: 11:28:18 time: 0.5565 data_time: 0.0281 memory: 31836 grad_norm: 4.0179 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3925 loss: 1.3925 2022/10/13 23:29:31 - mmengine - INFO - Epoch(train) [21][260/940] lr: 1.0000e-02 eta: 11:28:07 time: 0.5559 data_time: 0.0268 memory: 31836 grad_norm: 4.0884 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4627 loss: 1.4627 2022/10/13 23:29:42 - mmengine - INFO - Epoch(train) [21][280/940] lr: 1.0000e-02 eta: 11:27:56 time: 0.5485 data_time: 0.0302 memory: 31836 grad_norm: 4.1122 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.6392 loss: 1.6392 2022/10/13 23:29:53 - mmengine - INFO - Epoch(train) [21][300/940] lr: 1.0000e-02 eta: 11:27:45 time: 0.5530 data_time: 0.0237 memory: 31836 grad_norm: 4.0549 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3916 loss: 1.3916 2022/10/13 23:30:04 - mmengine - INFO - Epoch(train) [21][320/940] lr: 1.0000e-02 eta: 11:27:34 time: 0.5471 data_time: 0.0291 memory: 31836 grad_norm: 4.1113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6664 loss: 1.6664 2022/10/13 23:30:15 - mmengine - INFO - Epoch(train) [21][340/940] lr: 1.0000e-02 eta: 11:27:22 time: 0.5446 data_time: 0.0274 memory: 31836 grad_norm: 4.1924 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.7349 loss: 1.7349 2022/10/13 23:30:26 - mmengine - INFO - Epoch(train) [21][360/940] lr: 1.0000e-02 eta: 11:27:11 time: 0.5492 data_time: 0.0237 memory: 31836 grad_norm: 4.1441 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5949 loss: 1.5949 2022/10/13 23:30:37 - mmengine - INFO - Epoch(train) [21][380/940] lr: 1.0000e-02 eta: 11:26:59 time: 0.5428 data_time: 0.0256 memory: 31836 grad_norm: 4.0796 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5867 loss: 1.5867 2022/10/13 23:30:48 - mmengine - INFO - Epoch(train) [21][400/940] lr: 1.0000e-02 eta: 11:26:48 time: 0.5440 data_time: 0.0261 memory: 31836 grad_norm: 4.1539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5635 loss: 1.5635 2022/10/13 23:30:59 - mmengine - INFO - Epoch(train) [21][420/940] lr: 1.0000e-02 eta: 11:26:37 time: 0.5475 data_time: 0.0351 memory: 31836 grad_norm: 4.2194 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6841 loss: 1.6841 2022/10/13 23:31:10 - mmengine - INFO - Epoch(train) [21][440/940] lr: 1.0000e-02 eta: 11:26:25 time: 0.5447 data_time: 0.0274 memory: 31836 grad_norm: 4.0560 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5584 loss: 1.5584 2022/10/13 23:31:21 - mmengine - INFO - Epoch(train) [21][460/940] lr: 1.0000e-02 eta: 11:26:14 time: 0.5445 data_time: 0.0248 memory: 31836 grad_norm: 4.1296 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5666 loss: 1.5666 2022/10/13 23:31:32 - mmengine - INFO - Epoch(train) [21][480/940] lr: 1.0000e-02 eta: 11:26:03 time: 0.5547 data_time: 0.0311 memory: 31836 grad_norm: 4.1071 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4844 loss: 1.4844 2022/10/13 23:31:43 - mmengine - INFO - Epoch(train) [21][500/940] lr: 1.0000e-02 eta: 11:25:52 time: 0.5505 data_time: 0.0264 memory: 31836 grad_norm: 4.1669 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6166 loss: 1.6166 2022/10/13 23:31:54 - mmengine - INFO - Epoch(train) [21][520/940] lr: 1.0000e-02 eta: 11:25:40 time: 0.5447 data_time: 0.0250 memory: 31836 grad_norm: 4.1084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7151 loss: 1.7151 2022/10/13 23:32:05 - mmengine - INFO - Epoch(train) [21][540/940] lr: 1.0000e-02 eta: 11:25:29 time: 0.5528 data_time: 0.0253 memory: 31836 grad_norm: 4.0360 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4756 loss: 1.4756 2022/10/13 23:32:16 - mmengine - INFO - Epoch(train) [21][560/940] lr: 1.0000e-02 eta: 11:25:18 time: 0.5415 data_time: 0.0278 memory: 31836 grad_norm: 4.0332 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6615 loss: 1.6615 2022/10/13 23:32:27 - mmengine - INFO - Epoch(train) [21][580/940] lr: 1.0000e-02 eta: 11:25:06 time: 0.5471 data_time: 0.0249 memory: 31836 grad_norm: 4.0065 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4474 loss: 1.4474 2022/10/13 23:32:37 - mmengine - INFO - Epoch(train) [21][600/940] lr: 1.0000e-02 eta: 11:24:54 time: 0.5388 data_time: 0.0282 memory: 31836 grad_norm: 4.1105 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4838 loss: 1.4838 2022/10/13 23:32:48 - mmengine - INFO - Epoch(train) [21][620/940] lr: 1.0000e-02 eta: 11:24:43 time: 0.5454 data_time: 0.0264 memory: 31836 grad_norm: 4.1118 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5026 loss: 1.5026 2022/10/13 23:32:59 - mmengine - INFO - Epoch(train) [21][640/940] lr: 1.0000e-02 eta: 11:24:31 time: 0.5409 data_time: 0.0271 memory: 31836 grad_norm: 4.1169 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6769 loss: 1.6769 2022/10/13 23:33:10 - mmengine - INFO - Epoch(train) [21][660/940] lr: 1.0000e-02 eta: 11:24:20 time: 0.5532 data_time: 0.0262 memory: 31836 grad_norm: 4.0884 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5115 loss: 1.5115 2022/10/13 23:33:21 - mmengine - INFO - Epoch(train) [21][680/940] lr: 1.0000e-02 eta: 11:24:09 time: 0.5515 data_time: 0.0325 memory: 31836 grad_norm: 4.1350 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7260 loss: 1.7260 2022/10/13 23:33:32 - mmengine - INFO - Epoch(train) [21][700/940] lr: 1.0000e-02 eta: 11:23:59 time: 0.5581 data_time: 0.0310 memory: 31836 grad_norm: 4.1851 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5503 loss: 1.5503 2022/10/13 23:33:43 - mmengine - INFO - Epoch(train) [21][720/940] lr: 1.0000e-02 eta: 11:23:48 time: 0.5478 data_time: 0.0290 memory: 31836 grad_norm: 4.1068 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4349 loss: 1.4349 2022/10/13 23:33:54 - mmengine - INFO - Epoch(train) [21][740/940] lr: 1.0000e-02 eta: 11:23:36 time: 0.5378 data_time: 0.0339 memory: 31836 grad_norm: 4.1059 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5959 loss: 1.5959 2022/10/13 23:34:05 - mmengine - INFO - Epoch(train) [21][760/940] lr: 1.0000e-02 eta: 11:23:24 time: 0.5371 data_time: 0.0241 memory: 31836 grad_norm: 4.2313 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5473 loss: 1.5473 2022/10/13 23:34:16 - mmengine - INFO - Epoch(train) [21][780/940] lr: 1.0000e-02 eta: 11:23:13 time: 0.5509 data_time: 0.0248 memory: 31836 grad_norm: 4.2112 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6909 loss: 1.6909 2022/10/13 23:34:27 - mmengine - INFO - Epoch(train) [21][800/940] lr: 1.0000e-02 eta: 11:23:01 time: 0.5484 data_time: 0.0332 memory: 31836 grad_norm: 4.0314 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5777 loss: 1.5777 2022/10/13 23:34:38 - mmengine - INFO - Epoch(train) [21][820/940] lr: 1.0000e-02 eta: 11:22:50 time: 0.5402 data_time: 0.0242 memory: 31836 grad_norm: 4.0600 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.5601 loss: 1.5601 2022/10/13 23:34:48 - mmengine - INFO - Epoch(train) [21][840/940] lr: 1.0000e-02 eta: 11:22:38 time: 0.5386 data_time: 0.0259 memory: 31836 grad_norm: 4.0549 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5154 loss: 1.5154 2022/10/13 23:34:59 - mmengine - INFO - Epoch(train) [21][860/940] lr: 1.0000e-02 eta: 11:22:26 time: 0.5472 data_time: 0.0308 memory: 31836 grad_norm: 4.1218 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6038 loss: 1.6038 2022/10/13 23:35:10 - mmengine - INFO - Epoch(train) [21][880/940] lr: 1.0000e-02 eta: 11:22:15 time: 0.5481 data_time: 0.0282 memory: 31836 grad_norm: 4.1334 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4804 loss: 1.4804 2022/10/13 23:35:21 - mmengine - INFO - Epoch(train) [21][900/940] lr: 1.0000e-02 eta: 11:22:04 time: 0.5496 data_time: 0.0318 memory: 31836 grad_norm: 4.1301 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5128 loss: 1.5128 2022/10/13 23:35:32 - mmengine - INFO - Epoch(train) [21][920/940] lr: 1.0000e-02 eta: 11:21:53 time: 0.5471 data_time: 0.0273 memory: 31836 grad_norm: 4.1072 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.5608 loss: 1.5608 2022/10/13 23:35:42 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:35:42 - mmengine - INFO - Epoch(train) [21][940/940] lr: 1.0000e-02 eta: 11:21:39 time: 0.5133 data_time: 0.0217 memory: 31836 grad_norm: 4.3365 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.6565 loss: 1.6565 2022/10/13 23:35:42 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/10/13 23:35:56 - mmengine - INFO - Epoch(val) [21][20/78] eta: 0:00:35 time: 0.6139 data_time: 0.4639 memory: 3561 2022/10/13 23:36:05 - mmengine - INFO - Epoch(val) [21][40/78] eta: 0:00:16 time: 0.4401 data_time: 0.2905 memory: 3561 2022/10/13 23:36:16 - mmengine - INFO - Epoch(val) [21][60/78] eta: 0:00:10 time: 0.5723 data_time: 0.4231 memory: 3561 2022/10/13 23:36:28 - mmengine - INFO - Epoch(val) [21][78/78] acc/top1: 0.6577 acc/top5: 0.8635 acc/mean1: 0.6576 2022/10/13 23:36:44 - mmengine - INFO - Epoch(train) [22][20/940] lr: 1.0000e-02 eta: 11:21:45 time: 0.7784 data_time: 0.1803 memory: 31836 grad_norm: 3.9523 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6089 loss: 1.6089 2022/10/13 23:36:55 - mmengine - INFO - Epoch(train) [22][40/940] lr: 1.0000e-02 eta: 11:21:34 time: 0.5471 data_time: 0.0244 memory: 31836 grad_norm: 4.1026 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5375 loss: 1.5375 2022/10/13 23:37:06 - mmengine - INFO - Epoch(train) [22][60/940] lr: 1.0000e-02 eta: 11:21:23 time: 0.5627 data_time: 0.0292 memory: 31836 grad_norm: 4.0964 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5419 loss: 1.5419 2022/10/13 23:37:17 - mmengine - INFO - Epoch(train) [22][80/940] lr: 1.0000e-02 eta: 11:21:12 time: 0.5509 data_time: 0.0263 memory: 31836 grad_norm: 4.1121 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4488 loss: 1.4488 2022/10/13 23:37:28 - mmengine - INFO - Epoch(train) [22][100/940] lr: 1.0000e-02 eta: 11:21:01 time: 0.5497 data_time: 0.0293 memory: 31836 grad_norm: 4.0839 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4572 loss: 1.4572 2022/10/13 23:37:39 - mmengine - INFO - Epoch(train) [22][120/940] lr: 1.0000e-02 eta: 11:20:50 time: 0.5438 data_time: 0.0243 memory: 31836 grad_norm: 4.1387 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4962 loss: 1.4962 2022/10/13 23:37:50 - mmengine - INFO - Epoch(train) [22][140/940] lr: 1.0000e-02 eta: 11:20:39 time: 0.5551 data_time: 0.0244 memory: 31836 grad_norm: 4.0888 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5896 loss: 1.5896 2022/10/13 23:38:01 - mmengine - INFO - Epoch(train) [22][160/940] lr: 1.0000e-02 eta: 11:20:27 time: 0.5382 data_time: 0.0340 memory: 31836 grad_norm: 3.9646 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3204 loss: 1.3204 2022/10/13 23:38:12 - mmengine - INFO - Epoch(train) [22][180/940] lr: 1.0000e-02 eta: 11:20:15 time: 0.5424 data_time: 0.0313 memory: 31836 grad_norm: 4.0456 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.6260 loss: 1.6260 2022/10/13 23:38:23 - mmengine - INFO - Epoch(train) [22][200/940] lr: 1.0000e-02 eta: 11:20:04 time: 0.5476 data_time: 0.0260 memory: 31836 grad_norm: 4.1145 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5983 loss: 1.5983 2022/10/13 23:38:33 - mmengine - INFO - Epoch(train) [22][220/940] lr: 1.0000e-02 eta: 11:19:53 time: 0.5431 data_time: 0.0229 memory: 31836 grad_norm: 3.9890 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3556 loss: 1.3556 2022/10/13 23:38:44 - mmengine - INFO - Epoch(train) [22][240/940] lr: 1.0000e-02 eta: 11:19:41 time: 0.5477 data_time: 0.0306 memory: 31836 grad_norm: 4.1315 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7518 loss: 1.7518 2022/10/13 23:38:55 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:38:55 - mmengine - INFO - Epoch(train) [22][260/940] lr: 1.0000e-02 eta: 11:19:30 time: 0.5426 data_time: 0.0323 memory: 31836 grad_norm: 4.0670 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5667 loss: 1.5667 2022/10/13 23:39:06 - mmengine - INFO - Epoch(train) [22][280/940] lr: 1.0000e-02 eta: 11:19:18 time: 0.5446 data_time: 0.0310 memory: 31836 grad_norm: 4.1317 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4603 loss: 1.4603 2022/10/13 23:39:17 - mmengine - INFO - Epoch(train) [22][300/940] lr: 1.0000e-02 eta: 11:19:07 time: 0.5449 data_time: 0.0303 memory: 31836 grad_norm: 4.1680 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.5779 loss: 1.5779 2022/10/13 23:39:28 - mmengine - INFO - Epoch(train) [22][320/940] lr: 1.0000e-02 eta: 11:18:55 time: 0.5467 data_time: 0.0267 memory: 31836 grad_norm: 4.1524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5219 loss: 1.5219 2022/10/13 23:39:39 - mmengine - INFO - Epoch(train) [22][340/940] lr: 1.0000e-02 eta: 11:18:45 time: 0.5544 data_time: 0.0292 memory: 31836 grad_norm: 3.9906 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4927 loss: 1.4927 2022/10/13 23:39:50 - mmengine - INFO - Epoch(train) [22][360/940] lr: 1.0000e-02 eta: 11:18:33 time: 0.5447 data_time: 0.0240 memory: 31836 grad_norm: 4.0496 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4113 loss: 1.4113 2022/10/13 23:40:01 - mmengine - INFO - Epoch(train) [22][380/940] lr: 1.0000e-02 eta: 11:18:22 time: 0.5440 data_time: 0.0295 memory: 31836 grad_norm: 4.0773 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4899 loss: 1.4899 2022/10/13 23:40:12 - mmengine - INFO - Epoch(train) [22][400/940] lr: 1.0000e-02 eta: 11:18:11 time: 0.5517 data_time: 0.0317 memory: 31836 grad_norm: 4.1534 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6681 loss: 1.6681 2022/10/13 23:40:23 - mmengine - INFO - Epoch(train) [22][420/940] lr: 1.0000e-02 eta: 11:17:59 time: 0.5406 data_time: 0.0283 memory: 31836 grad_norm: 4.1257 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5694 loss: 1.5694 2022/10/13 23:40:34 - mmengine - INFO - Epoch(train) [22][440/940] lr: 1.0000e-02 eta: 11:17:47 time: 0.5453 data_time: 0.0250 memory: 31836 grad_norm: 4.1150 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5456 loss: 1.5456 2022/10/13 23:40:44 - mmengine - INFO - Epoch(train) [22][460/940] lr: 1.0000e-02 eta: 11:17:36 time: 0.5416 data_time: 0.0321 memory: 31836 grad_norm: 4.1857 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4054 loss: 1.4054 2022/10/13 23:40:55 - mmengine - INFO - Epoch(train) [22][480/940] lr: 1.0000e-02 eta: 11:17:24 time: 0.5461 data_time: 0.0317 memory: 31836 grad_norm: 4.2154 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5420 loss: 1.5420 2022/10/13 23:41:06 - mmengine - INFO - Epoch(train) [22][500/940] lr: 1.0000e-02 eta: 11:17:14 time: 0.5555 data_time: 0.0296 memory: 31836 grad_norm: 4.1280 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4481 loss: 1.4481 2022/10/13 23:41:17 - mmengine - INFO - Epoch(train) [22][520/940] lr: 1.0000e-02 eta: 11:17:02 time: 0.5483 data_time: 0.0267 memory: 31836 grad_norm: 4.1685 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5592 loss: 1.5592 2022/10/13 23:41:28 - mmengine - INFO - Epoch(train) [22][540/940] lr: 1.0000e-02 eta: 11:16:51 time: 0.5458 data_time: 0.0354 memory: 31836 grad_norm: 4.0906 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6027 loss: 1.6027 2022/10/13 23:41:39 - mmengine - INFO - Epoch(train) [22][560/940] lr: 1.0000e-02 eta: 11:16:40 time: 0.5429 data_time: 0.0312 memory: 31836 grad_norm: 4.1093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5517 loss: 1.5517 2022/10/13 23:41:50 - mmengine - INFO - Epoch(train) [22][580/940] lr: 1.0000e-02 eta: 11:16:28 time: 0.5402 data_time: 0.0243 memory: 31836 grad_norm: 4.1278 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3652 loss: 1.3652 2022/10/13 23:42:01 - mmengine - INFO - Epoch(train) [22][600/940] lr: 1.0000e-02 eta: 11:16:16 time: 0.5438 data_time: 0.0270 memory: 31836 grad_norm: 4.1694 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5055 loss: 1.5055 2022/10/13 23:42:12 - mmengine - INFO - Epoch(train) [22][620/940] lr: 1.0000e-02 eta: 11:16:05 time: 0.5516 data_time: 0.0289 memory: 31836 grad_norm: 4.1376 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5260 loss: 1.5260 2022/10/13 23:42:23 - mmengine - INFO - Epoch(train) [22][640/940] lr: 1.0000e-02 eta: 11:15:54 time: 0.5479 data_time: 0.0285 memory: 31836 grad_norm: 4.1309 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.5428 loss: 1.5428 2022/10/13 23:42:34 - mmengine - INFO - Epoch(train) [22][660/940] lr: 1.0000e-02 eta: 11:15:43 time: 0.5445 data_time: 0.0321 memory: 31836 grad_norm: 4.2267 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.6064 loss: 1.6064 2022/10/13 23:42:44 - mmengine - INFO - Epoch(train) [22][680/940] lr: 1.0000e-02 eta: 11:15:30 time: 0.5348 data_time: 0.0228 memory: 31836 grad_norm: 4.1538 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.5379 loss: 1.5379 2022/10/13 23:42:55 - mmengine - INFO - Epoch(train) [22][700/940] lr: 1.0000e-02 eta: 11:15:19 time: 0.5394 data_time: 0.0252 memory: 31836 grad_norm: 4.1367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4089 loss: 1.4089 2022/10/13 23:43:06 - mmengine - INFO - Epoch(train) [22][720/940] lr: 1.0000e-02 eta: 11:15:07 time: 0.5453 data_time: 0.0284 memory: 31836 grad_norm: 4.0543 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4982 loss: 1.4982 2022/10/13 23:43:17 - mmengine - INFO - Epoch(train) [22][740/940] lr: 1.0000e-02 eta: 11:14:56 time: 0.5555 data_time: 0.0341 memory: 31836 grad_norm: 4.1476 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5292 loss: 1.5292 2022/10/13 23:43:28 - mmengine - INFO - Epoch(train) [22][760/940] lr: 1.0000e-02 eta: 11:14:45 time: 0.5461 data_time: 0.0257 memory: 31836 grad_norm: 4.2050 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7650 loss: 1.7650 2022/10/13 23:43:39 - mmengine - INFO - Epoch(train) [22][780/940] lr: 1.0000e-02 eta: 11:14:34 time: 0.5480 data_time: 0.0280 memory: 31836 grad_norm: 4.1240 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4859 loss: 1.4859 2022/10/13 23:43:50 - mmengine - INFO - Epoch(train) [22][800/940] lr: 1.0000e-02 eta: 11:14:22 time: 0.5366 data_time: 0.0282 memory: 31836 grad_norm: 4.1485 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5986 loss: 1.5986 2022/10/13 23:44:01 - mmengine - INFO - Epoch(train) [22][820/940] lr: 1.0000e-02 eta: 11:14:10 time: 0.5455 data_time: 0.0343 memory: 31836 grad_norm: 4.2492 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6030 loss: 1.6030 2022/10/13 23:44:12 - mmengine - INFO - Epoch(train) [22][840/940] lr: 1.0000e-02 eta: 11:13:59 time: 0.5478 data_time: 0.0240 memory: 31836 grad_norm: 4.2478 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4333 loss: 1.4333 2022/10/13 23:44:22 - mmengine - INFO - Epoch(train) [22][860/940] lr: 1.0000e-02 eta: 11:13:47 time: 0.5399 data_time: 0.0271 memory: 31836 grad_norm: 4.1986 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5730 loss: 1.5730 2022/10/13 23:44:33 - mmengine - INFO - Epoch(train) [22][880/940] lr: 1.0000e-02 eta: 11:13:36 time: 0.5396 data_time: 0.0336 memory: 31836 grad_norm: 4.1724 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4751 loss: 1.4751 2022/10/13 23:44:44 - mmengine - INFO - Epoch(train) [22][900/940] lr: 1.0000e-02 eta: 11:13:24 time: 0.5422 data_time: 0.0252 memory: 31836 grad_norm: 4.1923 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5427 loss: 1.5427 2022/10/13 23:44:55 - mmengine - INFO - Epoch(train) [22][920/940] lr: 1.0000e-02 eta: 11:13:13 time: 0.5472 data_time: 0.0281 memory: 31836 grad_norm: 4.2609 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4799 loss: 1.4799 2022/10/13 23:45:05 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:45:05 - mmengine - INFO - Epoch(train) [22][940/940] lr: 1.0000e-02 eta: 11:12:59 time: 0.5136 data_time: 0.0280 memory: 31836 grad_norm: 4.3854 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.4486 loss: 1.4486 2022/10/13 23:45:18 - mmengine - INFO - Epoch(val) [22][20/78] eta: 0:00:36 time: 0.6276 data_time: 0.4777 memory: 3561 2022/10/13 23:45:28 - mmengine - INFO - Epoch(val) [22][40/78] eta: 0:00:17 time: 0.4702 data_time: 0.3233 memory: 3561 2022/10/13 23:45:39 - mmengine - INFO - Epoch(val) [22][60/78] eta: 0:00:09 time: 0.5488 data_time: 0.4014 memory: 3561 2022/10/13 23:45:50 - mmengine - INFO - Epoch(val) [22][78/78] acc/top1: 0.6630 acc/top5: 0.8643 acc/mean1: 0.6629 2022/10/13 23:45:50 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_19.pth is removed 2022/10/13 23:45:51 - mmengine - INFO - The best checkpoint with 0.6630 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/10/13 23:46:06 - mmengine - INFO - Epoch(train) [23][20/940] lr: 1.0000e-02 eta: 11:13:03 time: 0.7590 data_time: 0.2392 memory: 31836 grad_norm: 4.0458 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5450 loss: 1.5450 2022/10/13 23:46:17 - mmengine - INFO - Epoch(train) [23][40/940] lr: 1.0000e-02 eta: 11:12:51 time: 0.5434 data_time: 0.0243 memory: 31836 grad_norm: 4.1146 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4273 loss: 1.4273 2022/10/13 23:46:28 - mmengine - INFO - Epoch(train) [23][60/940] lr: 1.0000e-02 eta: 11:12:40 time: 0.5510 data_time: 0.0318 memory: 31836 grad_norm: 3.9999 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4519 loss: 1.4519 2022/10/13 23:46:39 - mmengine - INFO - Epoch(train) [23][80/940] lr: 1.0000e-02 eta: 11:12:29 time: 0.5505 data_time: 0.0286 memory: 31836 grad_norm: 4.0883 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6838 loss: 1.6838 2022/10/13 23:46:50 - mmengine - INFO - Epoch(train) [23][100/940] lr: 1.0000e-02 eta: 11:12:18 time: 0.5529 data_time: 0.0245 memory: 31836 grad_norm: 4.1960 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5065 loss: 1.5065 2022/10/13 23:47:02 - mmengine - INFO - Epoch(train) [23][120/940] lr: 1.0000e-02 eta: 11:12:11 time: 0.6004 data_time: 0.0236 memory: 31836 grad_norm: 4.0270 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4764 loss: 1.4764 2022/10/13 23:47:13 - mmengine - INFO - Epoch(train) [23][140/940] lr: 1.0000e-02 eta: 11:12:00 time: 0.5518 data_time: 0.0274 memory: 31836 grad_norm: 4.2066 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5096 loss: 1.5096 2022/10/13 23:47:24 - mmengine - INFO - Epoch(train) [23][160/940] lr: 1.0000e-02 eta: 11:11:49 time: 0.5476 data_time: 0.0281 memory: 31836 grad_norm: 4.1782 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5731 loss: 1.5731 2022/10/13 23:47:35 - mmengine - INFO - Epoch(train) [23][180/940] lr: 1.0000e-02 eta: 11:11:37 time: 0.5395 data_time: 0.0278 memory: 31836 grad_norm: 4.1741 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5591 loss: 1.5591 2022/10/13 23:47:45 - mmengine - INFO - Epoch(train) [23][200/940] lr: 1.0000e-02 eta: 11:11:25 time: 0.5463 data_time: 0.0243 memory: 31836 grad_norm: 4.1400 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4768 loss: 1.4768 2022/10/13 23:47:57 - mmengine - INFO - Epoch(train) [23][220/940] lr: 1.0000e-02 eta: 11:11:15 time: 0.5553 data_time: 0.0307 memory: 31836 grad_norm: 4.1351 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5638 loss: 1.5638 2022/10/13 23:48:07 - mmengine - INFO - Epoch(train) [23][240/940] lr: 1.0000e-02 eta: 11:11:03 time: 0.5443 data_time: 0.0275 memory: 31836 grad_norm: 4.1785 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5360 loss: 1.5360 2022/10/13 23:48:18 - mmengine - INFO - Epoch(train) [23][260/940] lr: 1.0000e-02 eta: 11:10:52 time: 0.5450 data_time: 0.0294 memory: 31836 grad_norm: 4.1235 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3484 loss: 1.3484 2022/10/13 23:48:29 - mmengine - INFO - Epoch(train) [23][280/940] lr: 1.0000e-02 eta: 11:10:40 time: 0.5419 data_time: 0.0286 memory: 31836 grad_norm: 4.1429 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6206 loss: 1.6206 2022/10/13 23:48:40 - mmengine - INFO - Epoch(train) [23][300/940] lr: 1.0000e-02 eta: 11:10:28 time: 0.5389 data_time: 0.0276 memory: 31836 grad_norm: 4.1896 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5174 loss: 1.5174 2022/10/13 23:48:51 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:48:51 - mmengine - INFO - Epoch(train) [23][320/940] lr: 1.0000e-02 eta: 11:10:17 time: 0.5487 data_time: 0.0261 memory: 31836 grad_norm: 4.1446 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4610 loss: 1.4610 2022/10/13 23:49:02 - mmengine - INFO - Epoch(train) [23][340/940] lr: 1.0000e-02 eta: 11:10:05 time: 0.5357 data_time: 0.0272 memory: 31836 grad_norm: 4.2335 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4979 loss: 1.4979 2022/10/13 23:49:13 - mmengine - INFO - Epoch(train) [23][360/940] lr: 1.0000e-02 eta: 11:09:54 time: 0.5447 data_time: 0.0291 memory: 31836 grad_norm: 4.1925 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6487 loss: 1.6487 2022/10/13 23:49:23 - mmengine - INFO - Epoch(train) [23][380/940] lr: 1.0000e-02 eta: 11:09:42 time: 0.5446 data_time: 0.0281 memory: 31836 grad_norm: 4.1694 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4616 loss: 1.4616 2022/10/13 23:49:34 - mmengine - INFO - Epoch(train) [23][400/940] lr: 1.0000e-02 eta: 11:09:31 time: 0.5437 data_time: 0.0261 memory: 31836 grad_norm: 4.1687 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5390 loss: 1.5390 2022/10/13 23:49:45 - mmengine - INFO - Epoch(train) [23][420/940] lr: 1.0000e-02 eta: 11:09:19 time: 0.5382 data_time: 0.0226 memory: 31836 grad_norm: 4.2485 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.5645 loss: 1.5645 2022/10/13 23:49:56 - mmengine - INFO - Epoch(train) [23][440/940] lr: 1.0000e-02 eta: 11:09:08 time: 0.5495 data_time: 0.0263 memory: 31836 grad_norm: 4.1722 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4338 loss: 1.4338 2022/10/13 23:50:07 - mmengine - INFO - Epoch(train) [23][460/940] lr: 1.0000e-02 eta: 11:08:56 time: 0.5423 data_time: 0.0250 memory: 31836 grad_norm: 4.2530 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4810 loss: 1.4810 2022/10/13 23:50:18 - mmengine - INFO - Epoch(train) [23][480/940] lr: 1.0000e-02 eta: 11:08:45 time: 0.5454 data_time: 0.0270 memory: 31836 grad_norm: 4.2073 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6431 loss: 1.6431 2022/10/13 23:50:29 - mmengine - INFO - Epoch(train) [23][500/940] lr: 1.0000e-02 eta: 11:08:34 time: 0.5528 data_time: 0.0245 memory: 31836 grad_norm: 4.0850 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5194 loss: 1.5194 2022/10/13 23:50:40 - mmengine - INFO - Epoch(train) [23][520/940] lr: 1.0000e-02 eta: 11:08:22 time: 0.5395 data_time: 0.0249 memory: 31836 grad_norm: 4.1814 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6015 loss: 1.6015 2022/10/13 23:50:51 - mmengine - INFO - Epoch(train) [23][540/940] lr: 1.0000e-02 eta: 11:08:10 time: 0.5419 data_time: 0.0268 memory: 31836 grad_norm: 4.2972 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7111 loss: 1.7111 2022/10/13 23:51:01 - mmengine - INFO - Epoch(train) [23][560/940] lr: 1.0000e-02 eta: 11:07:58 time: 0.5373 data_time: 0.0256 memory: 31836 grad_norm: 4.1669 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.7348 loss: 1.7348 2022/10/13 23:51:12 - mmengine - INFO - Epoch(train) [23][580/940] lr: 1.0000e-02 eta: 11:07:47 time: 0.5512 data_time: 0.0321 memory: 31836 grad_norm: 4.1204 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4722 loss: 1.4722 2022/10/13 23:51:23 - mmengine - INFO - Epoch(train) [23][600/940] lr: 1.0000e-02 eta: 11:07:36 time: 0.5408 data_time: 0.0270 memory: 31836 grad_norm: 4.0469 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5595 loss: 1.5595 2022/10/13 23:51:34 - mmengine - INFO - Epoch(train) [23][620/940] lr: 1.0000e-02 eta: 11:07:25 time: 0.5512 data_time: 0.0274 memory: 31836 grad_norm: 4.2069 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3930 loss: 1.3930 2022/10/13 23:51:45 - mmengine - INFO - Epoch(train) [23][640/940] lr: 1.0000e-02 eta: 11:07:13 time: 0.5415 data_time: 0.0275 memory: 31836 grad_norm: 4.1892 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5785 loss: 1.5785 2022/10/13 23:51:56 - mmengine - INFO - Epoch(train) [23][660/940] lr: 1.0000e-02 eta: 11:07:01 time: 0.5383 data_time: 0.0324 memory: 31836 grad_norm: 4.1780 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5158 loss: 1.5158 2022/10/13 23:52:07 - mmengine - INFO - Epoch(train) [23][680/940] lr: 1.0000e-02 eta: 11:06:50 time: 0.5438 data_time: 0.0259 memory: 31836 grad_norm: 4.2450 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4463 loss: 1.4463 2022/10/13 23:52:17 - mmengine - INFO - Epoch(train) [23][700/940] lr: 1.0000e-02 eta: 11:06:38 time: 0.5379 data_time: 0.0322 memory: 31836 grad_norm: 4.1875 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4463 loss: 1.4463 2022/10/13 23:52:28 - mmengine - INFO - Epoch(train) [23][720/940] lr: 1.0000e-02 eta: 11:06:27 time: 0.5513 data_time: 0.0329 memory: 31836 grad_norm: 4.1671 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4701 loss: 1.4701 2022/10/13 23:52:39 - mmengine - INFO - Epoch(train) [23][740/940] lr: 1.0000e-02 eta: 11:06:15 time: 0.5413 data_time: 0.0248 memory: 31836 grad_norm: 4.2320 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5962 loss: 1.5962 2022/10/13 23:52:50 - mmengine - INFO - Epoch(train) [23][760/940] lr: 1.0000e-02 eta: 11:06:03 time: 0.5426 data_time: 0.0277 memory: 31836 grad_norm: 4.1963 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5167 loss: 1.5167 2022/10/13 23:53:01 - mmengine - INFO - Epoch(train) [23][780/940] lr: 1.0000e-02 eta: 11:05:53 time: 0.5517 data_time: 0.0276 memory: 31836 grad_norm: 4.2923 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4912 loss: 1.4912 2022/10/13 23:53:12 - mmengine - INFO - Epoch(train) [23][800/940] lr: 1.0000e-02 eta: 11:05:42 time: 0.5532 data_time: 0.0272 memory: 31836 grad_norm: 4.1153 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5128 loss: 1.5128 2022/10/13 23:53:23 - mmengine - INFO - Epoch(train) [23][820/940] lr: 1.0000e-02 eta: 11:05:30 time: 0.5482 data_time: 0.0267 memory: 31836 grad_norm: 4.2188 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5755 loss: 1.5755 2022/10/13 23:53:34 - mmengine - INFO - Epoch(train) [23][840/940] lr: 1.0000e-02 eta: 11:05:19 time: 0.5462 data_time: 0.0246 memory: 31836 grad_norm: 4.1975 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4930 loss: 1.4930 2022/10/13 23:53:45 - mmengine - INFO - Epoch(train) [23][860/940] lr: 1.0000e-02 eta: 11:05:07 time: 0.5410 data_time: 0.0236 memory: 31836 grad_norm: 4.1945 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5778 loss: 1.5778 2022/10/13 23:53:56 - mmengine - INFO - Epoch(train) [23][880/940] lr: 1.0000e-02 eta: 11:04:56 time: 0.5508 data_time: 0.0257 memory: 31836 grad_norm: 4.1461 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7470 loss: 1.7470 2022/10/13 23:54:07 - mmengine - INFO - Epoch(train) [23][900/940] lr: 1.0000e-02 eta: 11:04:45 time: 0.5421 data_time: 0.0243 memory: 31836 grad_norm: 4.2030 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4795 loss: 1.4795 2022/10/13 23:54:18 - mmengine - INFO - Epoch(train) [23][920/940] lr: 1.0000e-02 eta: 11:04:34 time: 0.5499 data_time: 0.0288 memory: 31836 grad_norm: 4.1999 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5094 loss: 1.5094 2022/10/13 23:54:28 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:54:28 - mmengine - INFO - Epoch(train) [23][940/940] lr: 1.0000e-02 eta: 11:04:20 time: 0.5161 data_time: 0.0209 memory: 31836 grad_norm: 4.3626 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.5846 loss: 1.5846 2022/10/13 23:54:42 - mmengine - INFO - Epoch(val) [23][20/78] eta: 0:00:40 time: 0.6939 data_time: 0.5432 memory: 3561 2022/10/13 23:54:51 - mmengine - INFO - Epoch(val) [23][40/78] eta: 0:00:16 time: 0.4412 data_time: 0.2964 memory: 3561 2022/10/13 23:55:01 - mmengine - INFO - Epoch(val) [23][60/78] eta: 0:00:09 time: 0.5311 data_time: 0.3850 memory: 3561 2022/10/13 23:55:13 - mmengine - INFO - Epoch(val) [23][78/78] acc/top1: 0.6555 acc/top5: 0.8617 acc/mean1: 0.6554 2022/10/13 23:55:28 - mmengine - INFO - Epoch(train) [24][20/940] lr: 1.0000e-02 eta: 11:04:25 time: 0.7761 data_time: 0.1995 memory: 31836 grad_norm: 4.1413 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4345 loss: 1.4345 2022/10/13 23:55:40 - mmengine - INFO - Epoch(train) [24][40/940] lr: 1.0000e-02 eta: 11:04:14 time: 0.5527 data_time: 0.0280 memory: 31836 grad_norm: 4.0976 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4947 loss: 1.4947 2022/10/13 23:55:51 - mmengine - INFO - Epoch(train) [24][60/940] lr: 1.0000e-02 eta: 11:04:03 time: 0.5535 data_time: 0.0302 memory: 31836 grad_norm: 4.1649 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4517 loss: 1.4517 2022/10/13 23:56:02 - mmengine - INFO - Epoch(train) [24][80/940] lr: 1.0000e-02 eta: 11:03:52 time: 0.5477 data_time: 0.0237 memory: 31836 grad_norm: 4.1469 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.5220 loss: 1.5220 2022/10/13 23:56:12 - mmengine - INFO - Epoch(train) [24][100/940] lr: 1.0000e-02 eta: 11:03:40 time: 0.5450 data_time: 0.0285 memory: 31836 grad_norm: 4.0560 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3695 loss: 1.3695 2022/10/13 23:56:23 - mmengine - INFO - Epoch(train) [24][120/940] lr: 1.0000e-02 eta: 11:03:28 time: 0.5403 data_time: 0.0252 memory: 31836 grad_norm: 4.1748 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4758 loss: 1.4758 2022/10/13 23:56:34 - mmengine - INFO - Epoch(train) [24][140/940] lr: 1.0000e-02 eta: 11:03:17 time: 0.5471 data_time: 0.0279 memory: 31836 grad_norm: 4.0650 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.5335 loss: 1.5335 2022/10/13 23:56:45 - mmengine - INFO - Epoch(train) [24][160/940] lr: 1.0000e-02 eta: 11:03:06 time: 0.5468 data_time: 0.0277 memory: 31836 grad_norm: 4.1847 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4647 loss: 1.4647 2022/10/13 23:56:56 - mmengine - INFO - Epoch(train) [24][180/940] lr: 1.0000e-02 eta: 11:02:54 time: 0.5440 data_time: 0.0303 memory: 31836 grad_norm: 4.1418 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/10/13 23:57:07 - mmengine - INFO - Epoch(train) [24][200/940] lr: 1.0000e-02 eta: 11:02:43 time: 0.5468 data_time: 0.0283 memory: 31836 grad_norm: 4.2137 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.4665 loss: 1.4665 2022/10/13 23:57:18 - mmengine - INFO - Epoch(train) [24][220/940] lr: 1.0000e-02 eta: 11:02:32 time: 0.5498 data_time: 0.0324 memory: 31836 grad_norm: 3.9991 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4884 loss: 1.4884 2022/10/13 23:57:29 - mmengine - INFO - Epoch(train) [24][240/940] lr: 1.0000e-02 eta: 11:02:20 time: 0.5415 data_time: 0.0265 memory: 31836 grad_norm: 4.2001 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5226 loss: 1.5226 2022/10/13 23:57:40 - mmengine - INFO - Epoch(train) [24][260/940] lr: 1.0000e-02 eta: 11:02:09 time: 0.5427 data_time: 0.0283 memory: 31836 grad_norm: 4.1695 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5078 loss: 1.5078 2022/10/13 23:57:51 - mmengine - INFO - Epoch(train) [24][280/940] lr: 1.0000e-02 eta: 11:01:57 time: 0.5442 data_time: 0.0295 memory: 31836 grad_norm: 4.1532 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5564 loss: 1.5564 2022/10/13 23:58:02 - mmengine - INFO - Epoch(train) [24][300/940] lr: 1.0000e-02 eta: 11:01:46 time: 0.5526 data_time: 0.0332 memory: 31836 grad_norm: 4.2951 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6099 loss: 1.6099 2022/10/13 23:58:13 - mmengine - INFO - Epoch(train) [24][320/940] lr: 1.0000e-02 eta: 11:01:35 time: 0.5513 data_time: 0.0334 memory: 31836 grad_norm: 4.2046 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3407 loss: 1.3407 2022/10/13 23:58:23 - mmengine - INFO - Epoch(train) [24][340/940] lr: 1.0000e-02 eta: 11:01:24 time: 0.5432 data_time: 0.0262 memory: 31836 grad_norm: 4.1947 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5479 loss: 1.5479 2022/10/13 23:58:34 - mmengine - INFO - Epoch(train) [24][360/940] lr: 1.0000e-02 eta: 11:01:12 time: 0.5383 data_time: 0.0301 memory: 31836 grad_norm: 4.1682 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5236 loss: 1.5236 2022/10/13 23:58:45 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/13 23:58:45 - mmengine - INFO - Epoch(train) [24][380/940] lr: 1.0000e-02 eta: 11:01:00 time: 0.5416 data_time: 0.0245 memory: 31836 grad_norm: 4.1728 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5181 loss: 1.5181 2022/10/13 23:58:56 - mmengine - INFO - Epoch(train) [24][400/940] lr: 1.0000e-02 eta: 11:00:49 time: 0.5487 data_time: 0.0278 memory: 31836 grad_norm: 4.2951 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5030 loss: 1.5030 2022/10/13 23:59:07 - mmengine - INFO - Epoch(train) [24][420/940] lr: 1.0000e-02 eta: 11:00:38 time: 0.5484 data_time: 0.0258 memory: 31836 grad_norm: 4.2192 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5519 loss: 1.5519 2022/10/13 23:59:18 - mmengine - INFO - Epoch(train) [24][440/940] lr: 1.0000e-02 eta: 11:00:27 time: 0.5425 data_time: 0.0288 memory: 31836 grad_norm: 4.2405 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5134 loss: 1.5134 2022/10/13 23:59:29 - mmengine - INFO - Epoch(train) [24][460/940] lr: 1.0000e-02 eta: 11:00:15 time: 0.5456 data_time: 0.0251 memory: 31836 grad_norm: 4.2353 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3380 loss: 1.3380 2022/10/13 23:59:40 - mmengine - INFO - Epoch(train) [24][480/940] lr: 1.0000e-02 eta: 11:00:04 time: 0.5414 data_time: 0.0255 memory: 31836 grad_norm: 4.2511 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4833 loss: 1.4833 2022/10/13 23:59:51 - mmengine - INFO - Epoch(train) [24][500/940] lr: 1.0000e-02 eta: 10:59:52 time: 0.5467 data_time: 0.0270 memory: 31836 grad_norm: 4.1548 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4893 loss: 1.4893 2022/10/14 00:00:01 - mmengine - INFO - Epoch(train) [24][520/940] lr: 1.0000e-02 eta: 10:59:41 time: 0.5434 data_time: 0.0294 memory: 31836 grad_norm: 4.2094 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3896 loss: 1.3896 2022/10/14 00:00:12 - mmengine - INFO - Epoch(train) [24][540/940] lr: 1.0000e-02 eta: 10:59:29 time: 0.5417 data_time: 0.0293 memory: 31836 grad_norm: 4.2618 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4546 loss: 1.4546 2022/10/14 00:00:23 - mmengine - INFO - Epoch(train) [24][560/940] lr: 1.0000e-02 eta: 10:59:18 time: 0.5472 data_time: 0.0270 memory: 31836 grad_norm: 4.1442 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4681 loss: 1.4681 2022/10/14 00:00:36 - mmengine - INFO - Epoch(train) [24][580/940] lr: 1.0000e-02 eta: 10:59:13 time: 0.6414 data_time: 0.0263 memory: 31836 grad_norm: 4.2184 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4822 loss: 1.4822 2022/10/14 00:00:47 - mmengine - INFO - Epoch(train) [24][600/940] lr: 1.0000e-02 eta: 10:59:02 time: 0.5496 data_time: 0.0266 memory: 31836 grad_norm: 4.3659 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5335 loss: 1.5335 2022/10/14 00:00:58 - mmengine - INFO - Epoch(train) [24][620/940] lr: 1.0000e-02 eta: 10:58:51 time: 0.5565 data_time: 0.0269 memory: 31836 grad_norm: 4.2209 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.6820 loss: 1.6820 2022/10/14 00:01:09 - mmengine - INFO - Epoch(train) [24][640/940] lr: 1.0000e-02 eta: 10:58:40 time: 0.5519 data_time: 0.0287 memory: 31836 grad_norm: 4.1410 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5038 loss: 1.5038 2022/10/14 00:01:20 - mmengine - INFO - Epoch(train) [24][660/940] lr: 1.0000e-02 eta: 10:58:29 time: 0.5471 data_time: 0.0302 memory: 31836 grad_norm: 4.2264 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4757 loss: 1.4757 2022/10/14 00:01:31 - mmengine - INFO - Epoch(train) [24][680/940] lr: 1.0000e-02 eta: 10:58:18 time: 0.5469 data_time: 0.0284 memory: 31836 grad_norm: 4.2100 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5240 loss: 1.5240 2022/10/14 00:01:42 - mmengine - INFO - Epoch(train) [24][700/940] lr: 1.0000e-02 eta: 10:58:06 time: 0.5414 data_time: 0.0316 memory: 31836 grad_norm: 4.1714 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5127 loss: 1.5127 2022/10/14 00:01:53 - mmengine - INFO - Epoch(train) [24][720/940] lr: 1.0000e-02 eta: 10:57:54 time: 0.5418 data_time: 0.0248 memory: 31836 grad_norm: 4.1928 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.6602 loss: 1.6602 2022/10/14 00:02:03 - mmengine - INFO - Epoch(train) [24][740/940] lr: 1.0000e-02 eta: 10:57:43 time: 0.5384 data_time: 0.0246 memory: 31836 grad_norm: 4.2069 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5200 loss: 1.5200 2022/10/14 00:02:14 - mmengine - INFO - Epoch(train) [24][760/940] lr: 1.0000e-02 eta: 10:57:31 time: 0.5492 data_time: 0.0325 memory: 31836 grad_norm: 4.1527 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3398 loss: 1.3398 2022/10/14 00:02:25 - mmengine - INFO - Epoch(train) [24][780/940] lr: 1.0000e-02 eta: 10:57:20 time: 0.5406 data_time: 0.0233 memory: 31836 grad_norm: 4.2127 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5128 loss: 1.5128 2022/10/14 00:02:36 - mmengine - INFO - Epoch(train) [24][800/940] lr: 1.0000e-02 eta: 10:57:09 time: 0.5497 data_time: 0.0258 memory: 31836 grad_norm: 4.1042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4776 loss: 1.4776 2022/10/14 00:02:47 - mmengine - INFO - Epoch(train) [24][820/940] lr: 1.0000e-02 eta: 10:56:57 time: 0.5427 data_time: 0.0253 memory: 31836 grad_norm: 4.1137 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3996 loss: 1.3996 2022/10/14 00:02:58 - mmengine - INFO - Epoch(train) [24][840/940] lr: 1.0000e-02 eta: 10:56:46 time: 0.5447 data_time: 0.0273 memory: 31836 grad_norm: 4.2564 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.5534 loss: 1.5534 2022/10/14 00:03:09 - mmengine - INFO - Epoch(train) [24][860/940] lr: 1.0000e-02 eta: 10:56:34 time: 0.5372 data_time: 0.0257 memory: 31836 grad_norm: 4.1882 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6121 loss: 1.6121 2022/10/14 00:03:20 - mmengine - INFO - Epoch(train) [24][880/940] lr: 1.0000e-02 eta: 10:56:23 time: 0.5529 data_time: 0.0261 memory: 31836 grad_norm: 4.1869 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5540 loss: 1.5540 2022/10/14 00:03:31 - mmengine - INFO - Epoch(train) [24][900/940] lr: 1.0000e-02 eta: 10:56:12 time: 0.5500 data_time: 0.0314 memory: 31836 grad_norm: 4.2437 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6560 loss: 1.6560 2022/10/14 00:03:42 - mmengine - INFO - Epoch(train) [24][920/940] lr: 1.0000e-02 eta: 10:56:02 time: 0.5645 data_time: 0.0248 memory: 31836 grad_norm: 4.2770 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4763 loss: 1.4763 2022/10/14 00:03:52 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:03:52 - mmengine - INFO - Epoch(train) [24][940/940] lr: 1.0000e-02 eta: 10:55:48 time: 0.5151 data_time: 0.0239 memory: 31836 grad_norm: 4.4003 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3601 loss: 1.3601 2022/10/14 00:03:52 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/10/14 00:04:06 - mmengine - INFO - Epoch(val) [24][20/78] eta: 0:00:35 time: 0.6193 data_time: 0.4692 memory: 3561 2022/10/14 00:04:15 - mmengine - INFO - Epoch(val) [24][40/78] eta: 0:00:17 time: 0.4531 data_time: 0.3044 memory: 3561 2022/10/14 00:04:27 - mmengine - INFO - Epoch(val) [24][60/78] eta: 0:00:10 time: 0.5826 data_time: 0.4358 memory: 3561 2022/10/14 00:04:37 - mmengine - INFO - Epoch(val) [24][78/78] acc/top1: 0.6594 acc/top5: 0.8633 acc/mean1: 0.6593 2022/10/14 00:04:53 - mmengine - INFO - Epoch(train) [25][20/940] lr: 1.0000e-02 eta: 10:55:54 time: 0.8153 data_time: 0.1988 memory: 31836 grad_norm: 4.1010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3937 loss: 1.3937 2022/10/14 00:05:04 - mmengine - INFO - Epoch(train) [25][40/940] lr: 1.0000e-02 eta: 10:55:43 time: 0.5484 data_time: 0.0262 memory: 31836 grad_norm: 4.2789 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.4044 loss: 1.4044 2022/10/14 00:05:16 - mmengine - INFO - Epoch(train) [25][60/940] lr: 1.0000e-02 eta: 10:55:33 time: 0.5671 data_time: 0.0295 memory: 31836 grad_norm: 4.0680 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4322 loss: 1.4322 2022/10/14 00:05:27 - mmengine - INFO - Epoch(train) [25][80/940] lr: 1.0000e-02 eta: 10:55:23 time: 0.5616 data_time: 0.0296 memory: 31836 grad_norm: 4.0302 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3358 loss: 1.3358 2022/10/14 00:05:38 - mmengine - INFO - Epoch(train) [25][100/940] lr: 1.0000e-02 eta: 10:55:12 time: 0.5573 data_time: 0.0274 memory: 31836 grad_norm: 4.1883 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5133 loss: 1.5133 2022/10/14 00:05:49 - mmengine - INFO - Epoch(train) [25][120/940] lr: 1.0000e-02 eta: 10:55:01 time: 0.5564 data_time: 0.0293 memory: 31836 grad_norm: 4.1580 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5166 loss: 1.5166 2022/10/14 00:06:00 - mmengine - INFO - Epoch(train) [25][140/940] lr: 1.0000e-02 eta: 10:54:50 time: 0.5393 data_time: 0.0247 memory: 31836 grad_norm: 4.2884 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.4545 loss: 1.4545 2022/10/14 00:06:11 - mmengine - INFO - Epoch(train) [25][160/940] lr: 1.0000e-02 eta: 10:54:38 time: 0.5407 data_time: 0.0235 memory: 31836 grad_norm: 4.1991 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4590 loss: 1.4590 2022/10/14 00:06:22 - mmengine - INFO - Epoch(train) [25][180/940] lr: 1.0000e-02 eta: 10:54:26 time: 0.5441 data_time: 0.0284 memory: 31836 grad_norm: 4.1645 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3336 loss: 1.3336 2022/10/14 00:06:33 - mmengine - INFO - Epoch(train) [25][200/940] lr: 1.0000e-02 eta: 10:54:15 time: 0.5503 data_time: 0.0317 memory: 31836 grad_norm: 4.1699 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4780 loss: 1.4780 2022/10/14 00:06:43 - mmengine - INFO - Epoch(train) [25][220/940] lr: 1.0000e-02 eta: 10:54:04 time: 0.5460 data_time: 0.0248 memory: 31836 grad_norm: 4.1995 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5765 loss: 1.5765 2022/10/14 00:06:54 - mmengine - INFO - Epoch(train) [25][240/940] lr: 1.0000e-02 eta: 10:53:53 time: 0.5459 data_time: 0.0259 memory: 31836 grad_norm: 4.2693 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5157 loss: 1.5157 2022/10/14 00:07:05 - mmengine - INFO - Epoch(train) [25][260/940] lr: 1.0000e-02 eta: 10:53:41 time: 0.5424 data_time: 0.0347 memory: 31836 grad_norm: 4.1942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5473 loss: 1.5473 2022/10/14 00:07:16 - mmengine - INFO - Epoch(train) [25][280/940] lr: 1.0000e-02 eta: 10:53:30 time: 0.5537 data_time: 0.0241 memory: 31836 grad_norm: 4.1232 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4891 loss: 1.4891 2022/10/14 00:07:27 - mmengine - INFO - Epoch(train) [25][300/940] lr: 1.0000e-02 eta: 10:53:19 time: 0.5406 data_time: 0.0262 memory: 31836 grad_norm: 4.1141 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5128 loss: 1.5128 2022/10/14 00:07:38 - mmengine - INFO - Epoch(train) [25][320/940] lr: 1.0000e-02 eta: 10:53:07 time: 0.5407 data_time: 0.0330 memory: 31836 grad_norm: 4.1790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6894 loss: 1.6894 2022/10/14 00:07:49 - mmengine - INFO - Epoch(train) [25][340/940] lr: 1.0000e-02 eta: 10:52:55 time: 0.5417 data_time: 0.0263 memory: 31836 grad_norm: 4.3087 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4836 loss: 1.4836 2022/10/14 00:08:00 - mmengine - INFO - Epoch(train) [25][360/940] lr: 1.0000e-02 eta: 10:52:44 time: 0.5533 data_time: 0.0295 memory: 31836 grad_norm: 4.2595 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3961 loss: 1.3961 2022/10/14 00:08:11 - mmengine - INFO - Epoch(train) [25][380/940] lr: 1.0000e-02 eta: 10:52:33 time: 0.5419 data_time: 0.0253 memory: 31836 grad_norm: 4.1576 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4425 loss: 1.4425 2022/10/14 00:08:21 - mmengine - INFO - Epoch(train) [25][400/940] lr: 1.0000e-02 eta: 10:52:21 time: 0.5393 data_time: 0.0225 memory: 31836 grad_norm: 4.2261 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3788 loss: 1.3788 2022/10/14 00:08:32 - mmengine - INFO - Epoch(train) [25][420/940] lr: 1.0000e-02 eta: 10:52:10 time: 0.5464 data_time: 0.0335 memory: 31836 grad_norm: 4.1770 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3304 loss: 1.3304 2022/10/14 00:08:43 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:08:43 - mmengine - INFO - Epoch(train) [25][440/940] lr: 1.0000e-02 eta: 10:51:58 time: 0.5445 data_time: 0.0269 memory: 31836 grad_norm: 4.2232 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5582 loss: 1.5582 2022/10/14 00:08:54 - mmengine - INFO - Epoch(train) [25][460/940] lr: 1.0000e-02 eta: 10:51:47 time: 0.5444 data_time: 0.0292 memory: 31836 grad_norm: 4.2436 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4470 loss: 1.4470 2022/10/14 00:09:05 - mmengine - INFO - Epoch(train) [25][480/940] lr: 1.0000e-02 eta: 10:51:35 time: 0.5424 data_time: 0.0240 memory: 31836 grad_norm: 4.1768 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4269 loss: 1.4269 2022/10/14 00:09:16 - mmengine - INFO - Epoch(train) [25][500/940] lr: 1.0000e-02 eta: 10:51:25 time: 0.5548 data_time: 0.0293 memory: 31836 grad_norm: 4.2115 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4471 loss: 1.4471 2022/10/14 00:09:27 - mmengine - INFO - Epoch(train) [25][520/940] lr: 1.0000e-02 eta: 10:51:14 time: 0.5497 data_time: 0.0286 memory: 31836 grad_norm: 4.2662 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6213 loss: 1.6213 2022/10/14 00:09:38 - mmengine - INFO - Epoch(train) [25][540/940] lr: 1.0000e-02 eta: 10:51:02 time: 0.5415 data_time: 0.0262 memory: 31836 grad_norm: 4.2576 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4020 loss: 1.4020 2022/10/14 00:09:49 - mmengine - INFO - Epoch(train) [25][560/940] lr: 1.0000e-02 eta: 10:50:50 time: 0.5440 data_time: 0.0283 memory: 31836 grad_norm: 4.2624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4286 loss: 1.4286 2022/10/14 00:10:00 - mmengine - INFO - Epoch(train) [25][580/940] lr: 1.0000e-02 eta: 10:50:39 time: 0.5433 data_time: 0.0280 memory: 31836 grad_norm: 4.2534 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.5282 loss: 1.5282 2022/10/14 00:10:11 - mmengine - INFO - Epoch(train) [25][600/940] lr: 1.0000e-02 eta: 10:50:28 time: 0.5522 data_time: 0.0279 memory: 31836 grad_norm: 4.2211 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5752 loss: 1.5752 2022/10/14 00:10:22 - mmengine - INFO - Epoch(train) [25][620/940] lr: 1.0000e-02 eta: 10:50:17 time: 0.5431 data_time: 0.0235 memory: 31836 grad_norm: 4.2378 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 1.5725 loss: 1.5725 2022/10/14 00:10:34 - mmengine - INFO - Epoch(train) [25][640/940] lr: 1.0000e-02 eta: 10:50:09 time: 0.6043 data_time: 0.0352 memory: 31836 grad_norm: 4.2325 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/10/14 00:10:45 - mmengine - INFO - Epoch(train) [25][660/940] lr: 1.0000e-02 eta: 10:49:59 time: 0.5663 data_time: 0.0219 memory: 31836 grad_norm: 4.1496 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4867 loss: 1.4867 2022/10/14 00:10:56 - mmengine - INFO - Epoch(train) [25][680/940] lr: 1.0000e-02 eta: 10:49:48 time: 0.5559 data_time: 0.0289 memory: 31836 grad_norm: 4.1427 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4314 loss: 1.4314 2022/10/14 00:11:07 - mmengine - INFO - Epoch(train) [25][700/940] lr: 1.0000e-02 eta: 10:49:36 time: 0.5398 data_time: 0.0313 memory: 31836 grad_norm: 4.2465 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4519 loss: 1.4519 2022/10/14 00:11:18 - mmengine - INFO - Epoch(train) [25][720/940] lr: 1.0000e-02 eta: 10:49:24 time: 0.5345 data_time: 0.0260 memory: 31836 grad_norm: 4.3162 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3448 loss: 1.3448 2022/10/14 00:11:28 - mmengine - INFO - Epoch(train) [25][740/940] lr: 1.0000e-02 eta: 10:49:13 time: 0.5404 data_time: 0.0289 memory: 31836 grad_norm: 4.1436 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4635 loss: 1.4635 2022/10/14 00:11:39 - mmengine - INFO - Epoch(train) [25][760/940] lr: 1.0000e-02 eta: 10:49:01 time: 0.5377 data_time: 0.0287 memory: 31836 grad_norm: 4.2781 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5693 loss: 1.5693 2022/10/14 00:11:50 - mmengine - INFO - Epoch(train) [25][780/940] lr: 1.0000e-02 eta: 10:48:49 time: 0.5408 data_time: 0.0282 memory: 31836 grad_norm: 4.2336 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4438 loss: 1.4438 2022/10/14 00:12:01 - mmengine - INFO - Epoch(train) [25][800/940] lr: 1.0000e-02 eta: 10:48:38 time: 0.5508 data_time: 0.0341 memory: 31836 grad_norm: 4.3175 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/10/14 00:12:12 - mmengine - INFO - Epoch(train) [25][820/940] lr: 1.0000e-02 eta: 10:48:27 time: 0.5448 data_time: 0.0283 memory: 31836 grad_norm: 4.2218 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4404 loss: 1.4404 2022/10/14 00:12:23 - mmengine - INFO - Epoch(train) [25][840/940] lr: 1.0000e-02 eta: 10:48:15 time: 0.5452 data_time: 0.0256 memory: 31836 grad_norm: 4.1904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5125 loss: 1.5125 2022/10/14 00:12:34 - mmengine - INFO - Epoch(train) [25][860/940] lr: 1.0000e-02 eta: 10:48:05 time: 0.5554 data_time: 0.0252 memory: 31836 grad_norm: 4.2209 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5724 loss: 1.5724 2022/10/14 00:12:45 - mmengine - INFO - Epoch(train) [25][880/940] lr: 1.0000e-02 eta: 10:47:53 time: 0.5400 data_time: 0.0284 memory: 31836 grad_norm: 4.1688 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4430 loss: 1.4430 2022/10/14 00:12:56 - mmengine - INFO - Epoch(train) [25][900/940] lr: 1.0000e-02 eta: 10:47:42 time: 0.5512 data_time: 0.0330 memory: 31836 grad_norm: 4.2734 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6300 loss: 1.6300 2022/10/14 00:13:07 - mmengine - INFO - Epoch(train) [25][920/940] lr: 1.0000e-02 eta: 10:47:31 time: 0.5455 data_time: 0.0311 memory: 31836 grad_norm: 4.3049 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4102 loss: 1.4102 2022/10/14 00:13:17 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:13:17 - mmengine - INFO - Epoch(train) [25][940/940] lr: 1.0000e-02 eta: 10:47:17 time: 0.5158 data_time: 0.0222 memory: 31836 grad_norm: 4.5587 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5905 loss: 1.5905 2022/10/14 00:13:30 - mmengine - INFO - Epoch(val) [25][20/78] eta: 0:00:36 time: 0.6366 data_time: 0.4873 memory: 3561 2022/10/14 00:13:39 - mmengine - INFO - Epoch(val) [25][40/78] eta: 0:00:16 time: 0.4413 data_time: 0.2908 memory: 3561 2022/10/14 00:13:50 - mmengine - INFO - Epoch(val) [25][60/78] eta: 0:00:09 time: 0.5482 data_time: 0.3998 memory: 3561 2022/10/14 00:14:02 - mmengine - INFO - Epoch(val) [25][78/78] acc/top1: 0.6589 acc/top5: 0.8631 acc/mean1: 0.6588 2022/10/14 00:14:17 - mmengine - INFO - Epoch(train) [26][20/940] lr: 1.0000e-02 eta: 10:47:18 time: 0.7492 data_time: 0.1947 memory: 31836 grad_norm: 4.2067 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4170 loss: 1.4170 2022/10/14 00:14:28 - mmengine - INFO - Epoch(train) [26][40/940] lr: 1.0000e-02 eta: 10:47:07 time: 0.5462 data_time: 0.0273 memory: 31836 grad_norm: 4.1621 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4292 loss: 1.4292 2022/10/14 00:14:39 - mmengine - INFO - Epoch(train) [26][60/940] lr: 1.0000e-02 eta: 10:46:57 time: 0.5601 data_time: 0.0316 memory: 31836 grad_norm: 4.1389 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3824 loss: 1.3824 2022/10/14 00:14:50 - mmengine - INFO - Epoch(train) [26][80/940] lr: 1.0000e-02 eta: 10:46:46 time: 0.5517 data_time: 0.0265 memory: 31836 grad_norm: 4.0536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3470 loss: 1.3470 2022/10/14 00:15:01 - mmengine - INFO - Epoch(train) [26][100/940] lr: 1.0000e-02 eta: 10:46:34 time: 0.5476 data_time: 0.0297 memory: 31836 grad_norm: 4.2335 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4081 loss: 1.4081 2022/10/14 00:15:12 - mmengine - INFO - Epoch(train) [26][120/940] lr: 1.0000e-02 eta: 10:46:23 time: 0.5456 data_time: 0.0297 memory: 31836 grad_norm: 4.1552 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.5222 loss: 1.5222 2022/10/14 00:15:23 - mmengine - INFO - Epoch(train) [26][140/940] lr: 1.0000e-02 eta: 10:46:12 time: 0.5478 data_time: 0.0328 memory: 31836 grad_norm: 4.2384 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5550 loss: 1.5550 2022/10/14 00:15:34 - mmengine - INFO - Epoch(train) [26][160/940] lr: 1.0000e-02 eta: 10:46:01 time: 0.5492 data_time: 0.0247 memory: 31836 grad_norm: 4.3052 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.3868 loss: 1.3868 2022/10/14 00:15:45 - mmengine - INFO - Epoch(train) [26][180/940] lr: 1.0000e-02 eta: 10:45:49 time: 0.5374 data_time: 0.0278 memory: 31836 grad_norm: 4.1188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/10/14 00:15:56 - mmengine - INFO - Epoch(train) [26][200/940] lr: 1.0000e-02 eta: 10:45:38 time: 0.5478 data_time: 0.0233 memory: 31836 grad_norm: 4.2952 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.5187 loss: 1.5187 2022/10/14 00:16:07 - mmengine - INFO - Epoch(train) [26][220/940] lr: 1.0000e-02 eta: 10:45:26 time: 0.5451 data_time: 0.0247 memory: 31836 grad_norm: 4.2040 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5109 loss: 1.5109 2022/10/14 00:16:17 - mmengine - INFO - Epoch(train) [26][240/940] lr: 1.0000e-02 eta: 10:45:15 time: 0.5470 data_time: 0.0243 memory: 31836 grad_norm: 4.2854 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4227 loss: 1.4227 2022/10/14 00:16:28 - mmengine - INFO - Epoch(train) [26][260/940] lr: 1.0000e-02 eta: 10:45:03 time: 0.5421 data_time: 0.0238 memory: 31836 grad_norm: 4.2855 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5086 loss: 1.5086 2022/10/14 00:16:39 - mmengine - INFO - Epoch(train) [26][280/940] lr: 1.0000e-02 eta: 10:44:52 time: 0.5440 data_time: 0.0276 memory: 31836 grad_norm: 4.1635 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4457 loss: 1.4457 2022/10/14 00:16:50 - mmengine - INFO - Epoch(train) [26][300/940] lr: 1.0000e-02 eta: 10:44:41 time: 0.5513 data_time: 0.0278 memory: 31836 grad_norm: 4.2809 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6007 loss: 1.6007 2022/10/14 00:17:01 - mmengine - INFO - Epoch(train) [26][320/940] lr: 1.0000e-02 eta: 10:44:29 time: 0.5379 data_time: 0.0271 memory: 31836 grad_norm: 4.2359 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5538 loss: 1.5538 2022/10/14 00:17:12 - mmengine - INFO - Epoch(train) [26][340/940] lr: 1.0000e-02 eta: 10:44:18 time: 0.5534 data_time: 0.0362 memory: 31836 grad_norm: 4.2021 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4034 loss: 1.4034 2022/10/14 00:17:23 - mmengine - INFO - Epoch(train) [26][360/940] lr: 1.0000e-02 eta: 10:44:07 time: 0.5438 data_time: 0.0240 memory: 31836 grad_norm: 4.2164 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5357 loss: 1.5357 2022/10/14 00:17:34 - mmengine - INFO - Epoch(train) [26][380/940] lr: 1.0000e-02 eta: 10:43:56 time: 0.5549 data_time: 0.0338 memory: 31836 grad_norm: 4.3128 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.6475 loss: 1.6475 2022/10/14 00:17:45 - mmengine - INFO - Epoch(train) [26][400/940] lr: 1.0000e-02 eta: 10:43:45 time: 0.5439 data_time: 0.0251 memory: 31836 grad_norm: 4.2358 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4093 loss: 1.4093 2022/10/14 00:17:56 - mmengine - INFO - Epoch(train) [26][420/940] lr: 1.0000e-02 eta: 10:43:33 time: 0.5440 data_time: 0.0281 memory: 31836 grad_norm: 4.2581 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3899 loss: 1.3899 2022/10/14 00:18:07 - mmengine - INFO - Epoch(train) [26][440/940] lr: 1.0000e-02 eta: 10:43:22 time: 0.5471 data_time: 0.0245 memory: 31836 grad_norm: 4.2065 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4112 loss: 1.4112 2022/10/14 00:18:18 - mmengine - INFO - Epoch(train) [26][460/940] lr: 1.0000e-02 eta: 10:43:11 time: 0.5459 data_time: 0.0270 memory: 31836 grad_norm: 4.1960 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.3745 loss: 1.3745 2022/10/14 00:18:29 - mmengine - INFO - Epoch(train) [26][480/940] lr: 1.0000e-02 eta: 10:42:59 time: 0.5459 data_time: 0.0248 memory: 31836 grad_norm: 4.1781 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3368 loss: 1.3368 2022/10/14 00:18:40 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:18:40 - mmengine - INFO - Epoch(train) [26][500/940] lr: 1.0000e-02 eta: 10:42:48 time: 0.5539 data_time: 0.0283 memory: 31836 grad_norm: 4.2833 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4742 loss: 1.4742 2022/10/14 00:18:51 - mmengine - INFO - Epoch(train) [26][520/940] lr: 1.0000e-02 eta: 10:42:37 time: 0.5474 data_time: 0.0235 memory: 31836 grad_norm: 4.2820 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4489 loss: 1.4489 2022/10/14 00:19:01 - mmengine - INFO - Epoch(train) [26][540/940] lr: 1.0000e-02 eta: 10:42:26 time: 0.5443 data_time: 0.0236 memory: 31836 grad_norm: 4.2301 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3770 loss: 1.3770 2022/10/14 00:19:12 - mmengine - INFO - Epoch(train) [26][560/940] lr: 1.0000e-02 eta: 10:42:15 time: 0.5476 data_time: 0.0274 memory: 31836 grad_norm: 4.3736 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4544 loss: 1.4544 2022/10/14 00:19:23 - mmengine - INFO - Epoch(train) [26][580/940] lr: 1.0000e-02 eta: 10:42:03 time: 0.5415 data_time: 0.0267 memory: 31836 grad_norm: 4.3241 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5383 loss: 1.5383 2022/10/14 00:19:34 - mmengine - INFO - Epoch(train) [26][600/940] lr: 1.0000e-02 eta: 10:41:51 time: 0.5414 data_time: 0.0271 memory: 31836 grad_norm: 4.2762 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5895 loss: 1.5895 2022/10/14 00:19:45 - mmengine - INFO - Epoch(train) [26][620/940] lr: 1.0000e-02 eta: 10:41:40 time: 0.5472 data_time: 0.0277 memory: 31836 grad_norm: 4.3265 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5170 loss: 1.5170 2022/10/14 00:19:56 - mmengine - INFO - Epoch(train) [26][640/940] lr: 1.0000e-02 eta: 10:41:29 time: 0.5398 data_time: 0.0253 memory: 31836 grad_norm: 4.3598 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5297 loss: 1.5297 2022/10/14 00:20:07 - mmengine - INFO - Epoch(train) [26][660/940] lr: 1.0000e-02 eta: 10:41:17 time: 0.5488 data_time: 0.0297 memory: 31836 grad_norm: 4.2919 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/10/14 00:20:18 - mmengine - INFO - Epoch(train) [26][680/940] lr: 1.0000e-02 eta: 10:41:06 time: 0.5449 data_time: 0.0255 memory: 31836 grad_norm: 4.2462 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5921 loss: 1.5921 2022/10/14 00:20:29 - mmengine - INFO - Epoch(train) [26][700/940] lr: 1.0000e-02 eta: 10:40:55 time: 0.5473 data_time: 0.0372 memory: 31836 grad_norm: 4.3386 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5264 loss: 1.5264 2022/10/14 00:20:40 - mmengine - INFO - Epoch(train) [26][720/940] lr: 1.0000e-02 eta: 10:40:45 time: 0.5702 data_time: 0.0264 memory: 31836 grad_norm: 4.2633 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5168 loss: 1.5168 2022/10/14 00:20:51 - mmengine - INFO - Epoch(train) [26][740/940] lr: 1.0000e-02 eta: 10:40:34 time: 0.5489 data_time: 0.0288 memory: 31836 grad_norm: 4.2717 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3641 loss: 1.3641 2022/10/14 00:21:02 - mmengine - INFO - Epoch(train) [26][760/940] lr: 1.0000e-02 eta: 10:40:22 time: 0.5368 data_time: 0.0238 memory: 31836 grad_norm: 4.2757 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5134 loss: 1.5134 2022/10/14 00:21:13 - mmengine - INFO - Epoch(train) [26][780/940] lr: 1.0000e-02 eta: 10:40:11 time: 0.5497 data_time: 0.0335 memory: 31836 grad_norm: 4.2754 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4938 loss: 1.4938 2022/10/14 00:21:24 - mmengine - INFO - Epoch(train) [26][800/940] lr: 1.0000e-02 eta: 10:39:59 time: 0.5443 data_time: 0.0252 memory: 31836 grad_norm: 4.2902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6033 loss: 1.6033 2022/10/14 00:21:35 - mmengine - INFO - Epoch(train) [26][820/940] lr: 1.0000e-02 eta: 10:39:48 time: 0.5483 data_time: 0.0397 memory: 31836 grad_norm: 4.2525 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4865 loss: 1.4865 2022/10/14 00:21:46 - mmengine - INFO - Epoch(train) [26][840/940] lr: 1.0000e-02 eta: 10:39:37 time: 0.5455 data_time: 0.0290 memory: 31836 grad_norm: 4.1867 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5002 loss: 1.5002 2022/10/14 00:21:56 - mmengine - INFO - Epoch(train) [26][860/940] lr: 1.0000e-02 eta: 10:39:25 time: 0.5415 data_time: 0.0305 memory: 31836 grad_norm: 4.2972 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5667 loss: 1.5667 2022/10/14 00:22:07 - mmengine - INFO - Epoch(train) [26][880/940] lr: 1.0000e-02 eta: 10:39:14 time: 0.5435 data_time: 0.0297 memory: 31836 grad_norm: 4.3312 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4487 loss: 1.4487 2022/10/14 00:22:18 - mmengine - INFO - Epoch(train) [26][900/940] lr: 1.0000e-02 eta: 10:39:03 time: 0.5434 data_time: 0.0308 memory: 31836 grad_norm: 4.2670 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5648 loss: 1.5648 2022/10/14 00:22:29 - mmengine - INFO - Epoch(train) [26][920/940] lr: 1.0000e-02 eta: 10:38:51 time: 0.5465 data_time: 0.0284 memory: 31836 grad_norm: 4.1854 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4919 loss: 1.4919 2022/10/14 00:22:39 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:22:39 - mmengine - INFO - Epoch(train) [26][940/940] lr: 1.0000e-02 eta: 10:38:38 time: 0.5130 data_time: 0.0245 memory: 31836 grad_norm: 4.5699 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5494 loss: 1.5494 2022/10/14 00:22:52 - mmengine - INFO - Epoch(val) [26][20/78] eta: 0:00:36 time: 0.6346 data_time: 0.4855 memory: 3561 2022/10/14 00:23:03 - mmengine - INFO - Epoch(val) [26][40/78] eta: 0:00:20 time: 0.5283 data_time: 0.3798 memory: 3561 2022/10/14 00:23:14 - mmengine - INFO - Epoch(val) [26][60/78] eta: 0:00:09 time: 0.5523 data_time: 0.4052 memory: 3561 2022/10/14 00:23:26 - mmengine - INFO - Epoch(val) [26][78/78] acc/top1: 0.6599 acc/top5: 0.8642 acc/mean1: 0.6597 2022/10/14 00:23:42 - mmengine - INFO - Epoch(train) [27][20/940] lr: 1.0000e-02 eta: 10:38:43 time: 0.8311 data_time: 0.2358 memory: 31836 grad_norm: 4.1324 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3521 loss: 1.3521 2022/10/14 00:23:53 - mmengine - INFO - Epoch(train) [27][40/940] lr: 1.0000e-02 eta: 10:38:32 time: 0.5495 data_time: 0.0269 memory: 31836 grad_norm: 4.2131 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4971 loss: 1.4971 2022/10/14 00:24:05 - mmengine - INFO - Epoch(train) [27][60/940] lr: 1.0000e-02 eta: 10:38:22 time: 0.5630 data_time: 0.0262 memory: 31836 grad_norm: 4.0799 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3331 loss: 1.3331 2022/10/14 00:24:16 - mmengine - INFO - Epoch(train) [27][80/940] lr: 1.0000e-02 eta: 10:38:11 time: 0.5575 data_time: 0.0267 memory: 31836 grad_norm: 4.1289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4453 loss: 1.4453 2022/10/14 00:24:27 - mmengine - INFO - Epoch(train) [27][100/940] lr: 1.0000e-02 eta: 10:38:00 time: 0.5451 data_time: 0.0241 memory: 31836 grad_norm: 4.2476 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.5377 loss: 1.5377 2022/10/14 00:24:38 - mmengine - INFO - Epoch(train) [27][120/940] lr: 1.0000e-02 eta: 10:37:48 time: 0.5508 data_time: 0.0272 memory: 31836 grad_norm: 4.2937 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4153 loss: 1.4153 2022/10/14 00:24:49 - mmengine - INFO - Epoch(train) [27][140/940] lr: 1.0000e-02 eta: 10:37:37 time: 0.5414 data_time: 0.0240 memory: 31836 grad_norm: 4.1957 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.5003 loss: 1.5003 2022/10/14 00:24:59 - mmengine - INFO - Epoch(train) [27][160/940] lr: 1.0000e-02 eta: 10:37:25 time: 0.5392 data_time: 0.0240 memory: 31836 grad_norm: 4.1953 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4527 loss: 1.4527 2022/10/14 00:25:10 - mmengine - INFO - Epoch(train) [27][180/940] lr: 1.0000e-02 eta: 10:37:14 time: 0.5498 data_time: 0.0302 memory: 31836 grad_norm: 4.1490 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6549 loss: 1.6549 2022/10/14 00:25:21 - mmengine - INFO - Epoch(train) [27][200/940] lr: 1.0000e-02 eta: 10:37:03 time: 0.5528 data_time: 0.0316 memory: 31836 grad_norm: 4.2422 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3395 loss: 1.3395 2022/10/14 00:25:32 - mmengine - INFO - Epoch(train) [27][220/940] lr: 1.0000e-02 eta: 10:36:52 time: 0.5414 data_time: 0.0304 memory: 31836 grad_norm: 4.2731 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5872 loss: 1.5872 2022/10/14 00:25:43 - mmengine - INFO - Epoch(train) [27][240/940] lr: 1.0000e-02 eta: 10:36:41 time: 0.5503 data_time: 0.0284 memory: 31836 grad_norm: 4.2990 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4942 loss: 1.4942 2022/10/14 00:25:54 - mmengine - INFO - Epoch(train) [27][260/940] lr: 1.0000e-02 eta: 10:36:29 time: 0.5431 data_time: 0.0256 memory: 31836 grad_norm: 4.2301 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4670 loss: 1.4670 2022/10/14 00:26:05 - mmengine - INFO - Epoch(train) [27][280/940] lr: 1.0000e-02 eta: 10:36:17 time: 0.5368 data_time: 0.0251 memory: 31836 grad_norm: 4.2359 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4440 loss: 1.4440 2022/10/14 00:26:16 - mmengine - INFO - Epoch(train) [27][300/940] lr: 1.0000e-02 eta: 10:36:06 time: 0.5425 data_time: 0.0250 memory: 31836 grad_norm: 4.2326 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5211 loss: 1.5211 2022/10/14 00:26:27 - mmengine - INFO - Epoch(train) [27][320/940] lr: 1.0000e-02 eta: 10:35:55 time: 0.5514 data_time: 0.0275 memory: 31836 grad_norm: 4.2697 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.4902 loss: 1.4902 2022/10/14 00:26:38 - mmengine - INFO - Epoch(train) [27][340/940] lr: 1.0000e-02 eta: 10:35:44 time: 0.5496 data_time: 0.0305 memory: 31836 grad_norm: 4.2916 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4757 loss: 1.4757 2022/10/14 00:26:49 - mmengine - INFO - Epoch(train) [27][360/940] lr: 1.0000e-02 eta: 10:35:33 time: 0.5555 data_time: 0.0255 memory: 31836 grad_norm: 4.2026 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4926 loss: 1.4926 2022/10/14 00:27:00 - mmengine - INFO - Epoch(train) [27][380/940] lr: 1.0000e-02 eta: 10:35:22 time: 0.5531 data_time: 0.0305 memory: 31836 grad_norm: 4.1430 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3437 loss: 1.3437 2022/10/14 00:27:11 - mmengine - INFO - Epoch(train) [27][400/940] lr: 1.0000e-02 eta: 10:35:11 time: 0.5481 data_time: 0.0342 memory: 31836 grad_norm: 4.2082 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4686 loss: 1.4686 2022/10/14 00:27:22 - mmengine - INFO - Epoch(train) [27][420/940] lr: 1.0000e-02 eta: 10:34:59 time: 0.5447 data_time: 0.0240 memory: 31836 grad_norm: 4.2378 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3639 loss: 1.3639 2022/10/14 00:27:33 - mmengine - INFO - Epoch(train) [27][440/940] lr: 1.0000e-02 eta: 10:34:48 time: 0.5463 data_time: 0.0280 memory: 31836 grad_norm: 4.2485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5751 loss: 1.5751 2022/10/14 00:27:45 - mmengine - INFO - Epoch(train) [27][460/940] lr: 1.0000e-02 eta: 10:34:41 time: 0.6210 data_time: 0.0267 memory: 31836 grad_norm: 4.2757 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/10/14 00:27:56 - mmengine - INFO - Epoch(train) [27][480/940] lr: 1.0000e-02 eta: 10:34:30 time: 0.5483 data_time: 0.0256 memory: 31836 grad_norm: 4.2238 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4757 loss: 1.4757 2022/10/14 00:28:07 - mmengine - INFO - Epoch(train) [27][500/940] lr: 1.0000e-02 eta: 10:34:19 time: 0.5620 data_time: 0.0238 memory: 31836 grad_norm: 4.3141 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.4462 loss: 1.4462 2022/10/14 00:28:18 - mmengine - INFO - Epoch(train) [27][520/940] lr: 1.0000e-02 eta: 10:34:08 time: 0.5510 data_time: 0.0301 memory: 31836 grad_norm: 4.3079 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4938 loss: 1.4938 2022/10/14 00:28:29 - mmengine - INFO - Epoch(train) [27][540/940] lr: 1.0000e-02 eta: 10:33:57 time: 0.5403 data_time: 0.0228 memory: 31836 grad_norm: 4.1976 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.4573 loss: 1.4573 2022/10/14 00:28:40 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:28:40 - mmengine - INFO - Epoch(train) [27][560/940] lr: 1.0000e-02 eta: 10:33:45 time: 0.5363 data_time: 0.0289 memory: 31836 grad_norm: 4.2448 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4822 loss: 1.4822 2022/10/14 00:28:51 - mmengine - INFO - Epoch(train) [27][580/940] lr: 1.0000e-02 eta: 10:33:34 time: 0.5548 data_time: 0.0280 memory: 31836 grad_norm: 4.2646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4200 loss: 1.4200 2022/10/14 00:29:02 - mmengine - INFO - Epoch(train) [27][600/940] lr: 1.0000e-02 eta: 10:33:23 time: 0.5510 data_time: 0.0268 memory: 31836 grad_norm: 4.3387 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5850 loss: 1.5850 2022/10/14 00:29:13 - mmengine - INFO - Epoch(train) [27][620/940] lr: 1.0000e-02 eta: 10:33:11 time: 0.5408 data_time: 0.0254 memory: 31836 grad_norm: 4.2810 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4391 loss: 1.4391 2022/10/14 00:29:24 - mmengine - INFO - Epoch(train) [27][640/940] lr: 1.0000e-02 eta: 10:33:00 time: 0.5506 data_time: 0.0351 memory: 31836 grad_norm: 4.2889 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4611 loss: 1.4611 2022/10/14 00:29:35 - mmengine - INFO - Epoch(train) [27][660/940] lr: 1.0000e-02 eta: 10:32:49 time: 0.5393 data_time: 0.0238 memory: 31836 grad_norm: 4.2099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4871 loss: 1.4871 2022/10/14 00:29:45 - mmengine - INFO - Epoch(train) [27][680/940] lr: 1.0000e-02 eta: 10:32:37 time: 0.5395 data_time: 0.0284 memory: 31836 grad_norm: 4.2532 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5263 loss: 1.5263 2022/10/14 00:29:56 - mmengine - INFO - Epoch(train) [27][700/940] lr: 1.0000e-02 eta: 10:32:26 time: 0.5507 data_time: 0.0258 memory: 31836 grad_norm: 4.3228 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4361 loss: 1.4361 2022/10/14 00:30:07 - mmengine - INFO - Epoch(train) [27][720/940] lr: 1.0000e-02 eta: 10:32:15 time: 0.5510 data_time: 0.0249 memory: 31836 grad_norm: 4.3995 top1_acc: 0.3438 top5_acc: 0.8438 loss_cls: 1.4765 loss: 1.4765 2022/10/14 00:30:19 - mmengine - INFO - Epoch(train) [27][740/940] lr: 1.0000e-02 eta: 10:32:05 time: 0.5598 data_time: 0.0250 memory: 31836 grad_norm: 4.3635 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3455 loss: 1.3455 2022/10/14 00:30:30 - mmengine - INFO - Epoch(train) [27][760/940] lr: 1.0000e-02 eta: 10:31:53 time: 0.5491 data_time: 0.0226 memory: 31836 grad_norm: 4.3308 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6884 loss: 1.6884 2022/10/14 00:30:41 - mmengine - INFO - Epoch(train) [27][780/940] lr: 1.0000e-02 eta: 10:31:42 time: 0.5485 data_time: 0.0302 memory: 31836 grad_norm: 4.3390 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4890 loss: 1.4890 2022/10/14 00:30:52 - mmengine - INFO - Epoch(train) [27][800/940] lr: 1.0000e-02 eta: 10:31:31 time: 0.5449 data_time: 0.0314 memory: 31836 grad_norm: 4.2527 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4945 loss: 1.4945 2022/10/14 00:31:03 - mmengine - INFO - Epoch(train) [27][820/940] lr: 1.0000e-02 eta: 10:31:20 time: 0.5510 data_time: 0.0250 memory: 31836 grad_norm: 4.4587 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4872 loss: 1.4872 2022/10/14 00:31:14 - mmengine - INFO - Epoch(train) [27][840/940] lr: 1.0000e-02 eta: 10:31:09 time: 0.5542 data_time: 0.0273 memory: 31836 grad_norm: 4.4610 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6302 loss: 1.6302 2022/10/14 00:31:25 - mmengine - INFO - Epoch(train) [27][860/940] lr: 1.0000e-02 eta: 10:30:58 time: 0.5509 data_time: 0.0255 memory: 31836 grad_norm: 4.1895 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4855 loss: 1.4855 2022/10/14 00:31:36 - mmengine - INFO - Epoch(train) [27][880/940] lr: 1.0000e-02 eta: 10:30:47 time: 0.5505 data_time: 0.0248 memory: 31836 grad_norm: 4.3792 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5788 loss: 1.5788 2022/10/14 00:31:47 - mmengine - INFO - Epoch(train) [27][900/940] lr: 1.0000e-02 eta: 10:30:36 time: 0.5463 data_time: 0.0258 memory: 31836 grad_norm: 4.2767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3792 loss: 1.3792 2022/10/14 00:31:57 - mmengine - INFO - Epoch(train) [27][920/940] lr: 1.0000e-02 eta: 10:30:24 time: 0.5427 data_time: 0.0270 memory: 31836 grad_norm: 4.2460 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5237 loss: 1.5237 2022/10/14 00:32:08 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:32:08 - mmengine - INFO - Epoch(train) [27][940/940] lr: 1.0000e-02 eta: 10:30:11 time: 0.5115 data_time: 0.0220 memory: 31836 grad_norm: 4.5556 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4639 loss: 1.4639 2022/10/14 00:32:08 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/10/14 00:32:21 - mmengine - INFO - Epoch(val) [27][20/78] eta: 0:00:36 time: 0.6214 data_time: 0.4731 memory: 3561 2022/10/14 00:32:30 - mmengine - INFO - Epoch(val) [27][40/78] eta: 0:00:16 time: 0.4213 data_time: 0.2706 memory: 3561 2022/10/14 00:32:41 - mmengine - INFO - Epoch(val) [27][60/78] eta: 0:00:10 time: 0.5716 data_time: 0.4221 memory: 3561 2022/10/14 00:32:54 - mmengine - INFO - Epoch(val) [27][78/78] acc/top1: 0.6593 acc/top5: 0.8645 acc/mean1: 0.6591 2022/10/14 00:33:10 - mmengine - INFO - Epoch(train) [28][20/940] lr: 1.0000e-02 eta: 10:30:14 time: 0.8101 data_time: 0.2476 memory: 31836 grad_norm: 4.2361 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4113 loss: 1.4113 2022/10/14 00:33:21 - mmengine - INFO - Epoch(train) [28][40/940] lr: 1.0000e-02 eta: 10:30:03 time: 0.5490 data_time: 0.0307 memory: 31836 grad_norm: 4.2381 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4992 loss: 1.4992 2022/10/14 00:33:32 - mmengine - INFO - Epoch(train) [28][60/940] lr: 1.0000e-02 eta: 10:29:52 time: 0.5511 data_time: 0.0317 memory: 31836 grad_norm: 4.2865 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/10/14 00:33:43 - mmengine - INFO - Epoch(train) [28][80/940] lr: 1.0000e-02 eta: 10:29:40 time: 0.5460 data_time: 0.0258 memory: 31836 grad_norm: 4.2077 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4784 loss: 1.4784 2022/10/14 00:33:54 - mmengine - INFO - Epoch(train) [28][100/940] lr: 1.0000e-02 eta: 10:29:29 time: 0.5481 data_time: 0.0229 memory: 31836 grad_norm: 4.2863 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4127 loss: 1.4127 2022/10/14 00:34:05 - mmengine - INFO - Epoch(train) [28][120/940] lr: 1.0000e-02 eta: 10:29:18 time: 0.5401 data_time: 0.0254 memory: 31836 grad_norm: 4.2825 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4140 loss: 1.4140 2022/10/14 00:34:16 - mmengine - INFO - Epoch(train) [28][140/940] lr: 1.0000e-02 eta: 10:29:07 time: 0.5507 data_time: 0.0280 memory: 31836 grad_norm: 4.2345 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4581 loss: 1.4581 2022/10/14 00:34:27 - mmengine - INFO - Epoch(train) [28][160/940] lr: 1.0000e-02 eta: 10:28:55 time: 0.5461 data_time: 0.0317 memory: 31836 grad_norm: 4.2996 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4737 loss: 1.4737 2022/10/14 00:34:38 - mmengine - INFO - Epoch(train) [28][180/940] lr: 1.0000e-02 eta: 10:28:44 time: 0.5456 data_time: 0.0277 memory: 31836 grad_norm: 4.2525 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5690 loss: 1.5690 2022/10/14 00:34:49 - mmengine - INFO - Epoch(train) [28][200/940] lr: 1.0000e-02 eta: 10:28:33 time: 0.5480 data_time: 0.0300 memory: 31836 grad_norm: 4.2668 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3793 loss: 1.3793 2022/10/14 00:35:00 - mmengine - INFO - Epoch(train) [28][220/940] lr: 1.0000e-02 eta: 10:28:22 time: 0.5519 data_time: 0.0270 memory: 31836 grad_norm: 4.2015 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6244 loss: 1.6244 2022/10/14 00:35:11 - mmengine - INFO - Epoch(train) [28][240/940] lr: 1.0000e-02 eta: 10:28:11 time: 0.5494 data_time: 0.0262 memory: 31836 grad_norm: 4.2026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/10/14 00:35:22 - mmengine - INFO - Epoch(train) [28][260/940] lr: 1.0000e-02 eta: 10:27:59 time: 0.5419 data_time: 0.0219 memory: 31836 grad_norm: 4.2216 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3259 loss: 1.3259 2022/10/14 00:35:33 - mmengine - INFO - Epoch(train) [28][280/940] lr: 1.0000e-02 eta: 10:27:47 time: 0.5391 data_time: 0.0272 memory: 31836 grad_norm: 4.3500 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5618 loss: 1.5618 2022/10/14 00:35:43 - mmengine - INFO - Epoch(train) [28][300/940] lr: 1.0000e-02 eta: 10:27:36 time: 0.5427 data_time: 0.0296 memory: 31836 grad_norm: 4.4019 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5770 loss: 1.5770 2022/10/14 00:35:54 - mmengine - INFO - Epoch(train) [28][320/940] lr: 1.0000e-02 eta: 10:27:25 time: 0.5476 data_time: 0.0283 memory: 31836 grad_norm: 4.3068 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4723 loss: 1.4723 2022/10/14 00:36:05 - mmengine - INFO - Epoch(train) [28][340/940] lr: 1.0000e-02 eta: 10:27:14 time: 0.5490 data_time: 0.0396 memory: 31836 grad_norm: 4.2450 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4060 loss: 1.4060 2022/10/14 00:36:16 - mmengine - INFO - Epoch(train) [28][360/940] lr: 1.0000e-02 eta: 10:27:02 time: 0.5479 data_time: 0.0329 memory: 31836 grad_norm: 4.2934 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5503 loss: 1.5503 2022/10/14 00:36:27 - mmengine - INFO - Epoch(train) [28][380/940] lr: 1.0000e-02 eta: 10:26:52 time: 0.5538 data_time: 0.0282 memory: 31836 grad_norm: 4.2922 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5021 loss: 1.5021 2022/10/14 00:36:38 - mmengine - INFO - Epoch(train) [28][400/940] lr: 1.0000e-02 eta: 10:26:40 time: 0.5478 data_time: 0.0308 memory: 31836 grad_norm: 4.2276 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3774 loss: 1.3774 2022/10/14 00:36:49 - mmengine - INFO - Epoch(train) [28][420/940] lr: 1.0000e-02 eta: 10:26:29 time: 0.5533 data_time: 0.0324 memory: 31836 grad_norm: 4.2397 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4159 loss: 1.4159 2022/10/14 00:37:00 - mmengine - INFO - Epoch(train) [28][440/940] lr: 1.0000e-02 eta: 10:26:18 time: 0.5455 data_time: 0.0317 memory: 31836 grad_norm: 4.2618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3872 loss: 1.3872 2022/10/14 00:37:11 - mmengine - INFO - Epoch(train) [28][460/940] lr: 1.0000e-02 eta: 10:26:07 time: 0.5444 data_time: 0.0293 memory: 31836 grad_norm: 4.2853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4855 loss: 1.4855 2022/10/14 00:37:22 - mmengine - INFO - Epoch(train) [28][480/940] lr: 1.0000e-02 eta: 10:25:55 time: 0.5450 data_time: 0.0297 memory: 31836 grad_norm: 4.4772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5121 loss: 1.5121 2022/10/14 00:37:33 - mmengine - INFO - Epoch(train) [28][500/940] lr: 1.0000e-02 eta: 10:25:44 time: 0.5418 data_time: 0.0249 memory: 31836 grad_norm: 4.3429 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.4830 loss: 1.4830 2022/10/14 00:37:44 - mmengine - INFO - Epoch(train) [28][520/940] lr: 1.0000e-02 eta: 10:25:33 time: 0.5467 data_time: 0.0280 memory: 31836 grad_norm: 4.2565 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/10/14 00:37:55 - mmengine - INFO - Epoch(train) [28][540/940] lr: 1.0000e-02 eta: 10:25:21 time: 0.5482 data_time: 0.0301 memory: 31836 grad_norm: 4.3353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4849 loss: 1.4849 2022/10/14 00:38:06 - mmengine - INFO - Epoch(train) [28][560/940] lr: 1.0000e-02 eta: 10:25:10 time: 0.5499 data_time: 0.0292 memory: 31836 grad_norm: 4.3330 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3859 loss: 1.3859 2022/10/14 00:38:17 - mmengine - INFO - Epoch(train) [28][580/940] lr: 1.0000e-02 eta: 10:24:59 time: 0.5499 data_time: 0.0246 memory: 31836 grad_norm: 4.3207 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5335 loss: 1.5335 2022/10/14 00:38:28 - mmengine - INFO - Epoch(train) [28][600/940] lr: 1.0000e-02 eta: 10:24:48 time: 0.5408 data_time: 0.0282 memory: 31836 grad_norm: 4.2393 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3379 loss: 1.3379 2022/10/14 00:38:38 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:38:38 - mmengine - INFO - Epoch(train) [28][620/940] lr: 1.0000e-02 eta: 10:24:36 time: 0.5426 data_time: 0.0299 memory: 31836 grad_norm: 4.2959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6103 loss: 1.6103 2022/10/14 00:38:49 - mmengine - INFO - Epoch(train) [28][640/940] lr: 1.0000e-02 eta: 10:24:25 time: 0.5466 data_time: 0.0302 memory: 31836 grad_norm: 4.2299 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3677 loss: 1.3677 2022/10/14 00:39:00 - mmengine - INFO - Epoch(train) [28][660/940] lr: 1.0000e-02 eta: 10:24:14 time: 0.5435 data_time: 0.0249 memory: 31836 grad_norm: 4.3353 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3691 loss: 1.3691 2022/10/14 00:39:11 - mmengine - INFO - Epoch(train) [28][680/940] lr: 1.0000e-02 eta: 10:24:03 time: 0.5573 data_time: 0.0270 memory: 31836 grad_norm: 4.3093 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5290 loss: 1.5290 2022/10/14 00:39:22 - mmengine - INFO - Epoch(train) [28][700/940] lr: 1.0000e-02 eta: 10:23:52 time: 0.5468 data_time: 0.0250 memory: 31836 grad_norm: 4.3437 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4194 loss: 1.4194 2022/10/14 00:39:33 - mmengine - INFO - Epoch(train) [28][720/940] lr: 1.0000e-02 eta: 10:23:40 time: 0.5485 data_time: 0.0289 memory: 31836 grad_norm: 4.4186 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4438 loss: 1.4438 2022/10/14 00:39:44 - mmengine - INFO - Epoch(train) [28][740/940] lr: 1.0000e-02 eta: 10:23:29 time: 0.5420 data_time: 0.0250 memory: 31836 grad_norm: 4.3460 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3230 loss: 1.3230 2022/10/14 00:39:56 - mmengine - INFO - Epoch(train) [28][760/940] lr: 1.0000e-02 eta: 10:23:20 time: 0.5815 data_time: 0.0274 memory: 31836 grad_norm: 4.2439 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5911 loss: 1.5911 2022/10/14 00:40:07 - mmengine - INFO - Epoch(train) [28][780/940] lr: 1.0000e-02 eta: 10:23:08 time: 0.5508 data_time: 0.0262 memory: 31836 grad_norm: 4.2961 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4212 loss: 1.4212 2022/10/14 00:40:18 - mmengine - INFO - Epoch(train) [28][800/940] lr: 1.0000e-02 eta: 10:22:58 time: 0.5531 data_time: 0.0260 memory: 31836 grad_norm: 4.3635 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4005 loss: 1.4005 2022/10/14 00:40:30 - mmengine - INFO - Epoch(train) [28][820/940] lr: 1.0000e-02 eta: 10:22:49 time: 0.5912 data_time: 0.0290 memory: 31836 grad_norm: 4.3196 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5027 loss: 1.5027 2022/10/14 00:40:41 - mmengine - INFO - Epoch(train) [28][840/940] lr: 1.0000e-02 eta: 10:22:39 time: 0.5786 data_time: 0.0266 memory: 31836 grad_norm: 4.2749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5071 loss: 1.5071 2022/10/14 00:40:52 - mmengine - INFO - Epoch(train) [28][860/940] lr: 1.0000e-02 eta: 10:22:28 time: 0.5514 data_time: 0.0291 memory: 31836 grad_norm: 4.3029 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4544 loss: 1.4544 2022/10/14 00:41:03 - mmengine - INFO - Epoch(train) [28][880/940] lr: 1.0000e-02 eta: 10:22:17 time: 0.5459 data_time: 0.0265 memory: 31836 grad_norm: 4.3513 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4184 loss: 1.4184 2022/10/14 00:41:14 - mmengine - INFO - Epoch(train) [28][900/940] lr: 1.0000e-02 eta: 10:22:05 time: 0.5465 data_time: 0.0302 memory: 31836 grad_norm: 4.3671 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4181 loss: 1.4181 2022/10/14 00:41:25 - mmengine - INFO - Epoch(train) [28][920/940] lr: 1.0000e-02 eta: 10:21:54 time: 0.5436 data_time: 0.0241 memory: 31836 grad_norm: 4.3116 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5198 loss: 1.5198 2022/10/14 00:41:36 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:41:36 - mmengine - INFO - Epoch(train) [28][940/940] lr: 1.0000e-02 eta: 10:21:42 time: 0.5237 data_time: 0.0323 memory: 31836 grad_norm: 4.5056 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5870 loss: 1.5870 2022/10/14 00:41:48 - mmengine - INFO - Epoch(val) [28][20/78] eta: 0:00:36 time: 0.6304 data_time: 0.4809 memory: 3561 2022/10/14 00:41:57 - mmengine - INFO - Epoch(val) [28][40/78] eta: 0:00:16 time: 0.4450 data_time: 0.2967 memory: 3561 2022/10/14 00:42:08 - mmengine - INFO - Epoch(val) [28][60/78] eta: 0:00:09 time: 0.5545 data_time: 0.4052 memory: 3561 2022/10/14 00:42:19 - mmengine - INFO - Epoch(val) [28][78/78] acc/top1: 0.6612 acc/top5: 0.8634 acc/mean1: 0.6612 2022/10/14 00:42:35 - mmengine - INFO - Epoch(train) [29][20/940] lr: 1.0000e-02 eta: 10:21:43 time: 0.8020 data_time: 0.2398 memory: 31836 grad_norm: 4.1960 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4738 loss: 1.4738 2022/10/14 00:42:46 - mmengine - INFO - Epoch(train) [29][40/940] lr: 1.0000e-02 eta: 10:21:32 time: 0.5502 data_time: 0.0316 memory: 31836 grad_norm: 4.1540 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4628 loss: 1.4628 2022/10/14 00:42:57 - mmengine - INFO - Epoch(train) [29][60/940] lr: 1.0000e-02 eta: 10:21:22 time: 0.5673 data_time: 0.0256 memory: 31836 grad_norm: 4.1902 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3278 loss: 1.3278 2022/10/14 00:43:09 - mmengine - INFO - Epoch(train) [29][80/940] lr: 1.0000e-02 eta: 10:21:11 time: 0.5572 data_time: 0.0314 memory: 31836 grad_norm: 4.2760 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/10/14 00:43:19 - mmengine - INFO - Epoch(train) [29][100/940] lr: 1.0000e-02 eta: 10:21:00 time: 0.5457 data_time: 0.0290 memory: 31836 grad_norm: 4.4013 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4293 loss: 1.4293 2022/10/14 00:43:30 - mmengine - INFO - Epoch(train) [29][120/940] lr: 1.0000e-02 eta: 10:20:49 time: 0.5463 data_time: 0.0293 memory: 31836 grad_norm: 4.2842 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.4592 loss: 1.4592 2022/10/14 00:43:41 - mmengine - INFO - Epoch(train) [29][140/940] lr: 1.0000e-02 eta: 10:20:38 time: 0.5511 data_time: 0.0303 memory: 31836 grad_norm: 4.2559 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3514 loss: 1.3514 2022/10/14 00:43:52 - mmengine - INFO - Epoch(train) [29][160/940] lr: 1.0000e-02 eta: 10:20:27 time: 0.5476 data_time: 0.0343 memory: 31836 grad_norm: 4.3146 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4499 loss: 1.4499 2022/10/14 00:44:03 - mmengine - INFO - Epoch(train) [29][180/940] lr: 1.0000e-02 eta: 10:20:16 time: 0.5526 data_time: 0.0305 memory: 31836 grad_norm: 4.2484 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4289 loss: 1.4289 2022/10/14 00:44:14 - mmengine - INFO - Epoch(train) [29][200/940] lr: 1.0000e-02 eta: 10:20:04 time: 0.5484 data_time: 0.0257 memory: 31836 grad_norm: 4.2107 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4977 loss: 1.4977 2022/10/14 00:44:25 - mmengine - INFO - Epoch(train) [29][220/940] lr: 1.0000e-02 eta: 10:19:53 time: 0.5497 data_time: 0.0264 memory: 31836 grad_norm: 4.2827 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3408 loss: 1.3408 2022/10/14 00:44:36 - mmengine - INFO - Epoch(train) [29][240/940] lr: 1.0000e-02 eta: 10:19:42 time: 0.5531 data_time: 0.0272 memory: 31836 grad_norm: 4.2929 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4198 loss: 1.4198 2022/10/14 00:44:47 - mmengine - INFO - Epoch(train) [29][260/940] lr: 1.0000e-02 eta: 10:19:31 time: 0.5515 data_time: 0.0319 memory: 31836 grad_norm: 4.3585 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3563 loss: 1.3563 2022/10/14 00:44:58 - mmengine - INFO - Epoch(train) [29][280/940] lr: 1.0000e-02 eta: 10:19:20 time: 0.5395 data_time: 0.0268 memory: 31836 grad_norm: 4.2956 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.4573 loss: 1.4573 2022/10/14 00:45:09 - mmengine - INFO - Epoch(train) [29][300/940] lr: 1.0000e-02 eta: 10:19:08 time: 0.5408 data_time: 0.0255 memory: 31836 grad_norm: 4.3308 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4028 loss: 1.4028 2022/10/14 00:45:20 - mmengine - INFO - Epoch(train) [29][320/940] lr: 1.0000e-02 eta: 10:18:57 time: 0.5478 data_time: 0.0251 memory: 31836 grad_norm: 4.3841 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6211 loss: 1.6211 2022/10/14 00:45:31 - mmengine - INFO - Epoch(train) [29][340/940] lr: 1.0000e-02 eta: 10:18:45 time: 0.5403 data_time: 0.0277 memory: 31836 grad_norm: 4.3175 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4602 loss: 1.4602 2022/10/14 00:45:42 - mmengine - INFO - Epoch(train) [29][360/940] lr: 1.0000e-02 eta: 10:18:34 time: 0.5393 data_time: 0.0268 memory: 31836 grad_norm: 4.3876 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3952 loss: 1.3952 2022/10/14 00:45:53 - mmengine - INFO - Epoch(train) [29][380/940] lr: 1.0000e-02 eta: 10:18:23 time: 0.5500 data_time: 0.0296 memory: 31836 grad_norm: 4.2306 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4662 loss: 1.4662 2022/10/14 00:46:04 - mmengine - INFO - Epoch(train) [29][400/940] lr: 1.0000e-02 eta: 10:18:11 time: 0.5481 data_time: 0.0305 memory: 31836 grad_norm: 4.2261 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5902 loss: 1.5902 2022/10/14 00:46:14 - mmengine - INFO - Epoch(train) [29][420/940] lr: 1.0000e-02 eta: 10:18:00 time: 0.5445 data_time: 0.0254 memory: 31836 grad_norm: 4.3377 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3817 loss: 1.3817 2022/10/14 00:46:25 - mmengine - INFO - Epoch(train) [29][440/940] lr: 1.0000e-02 eta: 10:17:49 time: 0.5501 data_time: 0.0357 memory: 31836 grad_norm: 4.3532 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4529 loss: 1.4529 2022/10/14 00:46:36 - mmengine - INFO - Epoch(train) [29][460/940] lr: 1.0000e-02 eta: 10:17:38 time: 0.5515 data_time: 0.0256 memory: 31836 grad_norm: 4.2106 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3236 loss: 1.3236 2022/10/14 00:46:47 - mmengine - INFO - Epoch(train) [29][480/940] lr: 1.0000e-02 eta: 10:17:27 time: 0.5429 data_time: 0.0259 memory: 31836 grad_norm: 4.4546 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4925 loss: 1.4925 2022/10/14 00:46:58 - mmengine - INFO - Epoch(train) [29][500/940] lr: 1.0000e-02 eta: 10:17:15 time: 0.5428 data_time: 0.0264 memory: 31836 grad_norm: 4.2607 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4149 loss: 1.4149 2022/10/14 00:47:09 - mmengine - INFO - Epoch(train) [29][520/940] lr: 1.0000e-02 eta: 10:17:04 time: 0.5397 data_time: 0.0245 memory: 31836 grad_norm: 4.3391 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/10/14 00:47:20 - mmengine - INFO - Epoch(train) [29][540/940] lr: 1.0000e-02 eta: 10:16:52 time: 0.5444 data_time: 0.0234 memory: 31836 grad_norm: 4.1799 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4084 loss: 1.4084 2022/10/14 00:47:31 - mmengine - INFO - Epoch(train) [29][560/940] lr: 1.0000e-02 eta: 10:16:41 time: 0.5436 data_time: 0.0242 memory: 31836 grad_norm: 4.3169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5136 loss: 1.5136 2022/10/14 00:47:42 - mmengine - INFO - Epoch(train) [29][580/940] lr: 1.0000e-02 eta: 10:16:29 time: 0.5469 data_time: 0.0247 memory: 31836 grad_norm: 4.3290 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5193 loss: 1.5193 2022/10/14 00:47:53 - mmengine - INFO - Epoch(train) [29][600/940] lr: 1.0000e-02 eta: 10:16:18 time: 0.5497 data_time: 0.0275 memory: 31836 grad_norm: 4.2952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4078 loss: 1.4078 2022/10/14 00:48:04 - mmengine - INFO - Epoch(train) [29][620/940] lr: 1.0000e-02 eta: 10:16:07 time: 0.5509 data_time: 0.0305 memory: 31836 grad_norm: 4.3266 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4490 loss: 1.4490 2022/10/14 00:48:15 - mmengine - INFO - Epoch(train) [29][640/940] lr: 1.0000e-02 eta: 10:15:56 time: 0.5418 data_time: 0.0234 memory: 31836 grad_norm: 4.3310 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3791 loss: 1.3791 2022/10/14 00:48:25 - mmengine - INFO - Epoch(train) [29][660/940] lr: 1.0000e-02 eta: 10:15:44 time: 0.5445 data_time: 0.0291 memory: 31836 grad_norm: 4.2550 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4557 loss: 1.4557 2022/10/14 00:48:36 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:48:36 - mmengine - INFO - Epoch(train) [29][680/940] lr: 1.0000e-02 eta: 10:15:33 time: 0.5463 data_time: 0.0263 memory: 31836 grad_norm: 4.4170 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3273 loss: 1.3273 2022/10/14 00:48:47 - mmengine - INFO - Epoch(train) [29][700/940] lr: 1.0000e-02 eta: 10:15:22 time: 0.5468 data_time: 0.0247 memory: 31836 grad_norm: 4.3409 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4999 loss: 1.4999 2022/10/14 00:48:58 - mmengine - INFO - Epoch(train) [29][720/940] lr: 1.0000e-02 eta: 10:15:10 time: 0.5409 data_time: 0.0232 memory: 31836 grad_norm: 4.4433 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4709 loss: 1.4709 2022/10/14 00:49:09 - mmengine - INFO - Epoch(train) [29][740/940] lr: 1.0000e-02 eta: 10:14:59 time: 0.5512 data_time: 0.0258 memory: 31836 grad_norm: 4.3838 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5428 loss: 1.5428 2022/10/14 00:49:20 - mmengine - INFO - Epoch(train) [29][760/940] lr: 1.0000e-02 eta: 10:14:48 time: 0.5436 data_time: 0.0252 memory: 31836 grad_norm: 4.3693 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3230 loss: 1.3230 2022/10/14 00:49:31 - mmengine - INFO - Epoch(train) [29][780/940] lr: 1.0000e-02 eta: 10:14:37 time: 0.5434 data_time: 0.0262 memory: 31836 grad_norm: 4.3891 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5473 loss: 1.5473 2022/10/14 00:49:42 - mmengine - INFO - Epoch(train) [29][800/940] lr: 1.0000e-02 eta: 10:14:25 time: 0.5454 data_time: 0.0236 memory: 31836 grad_norm: 4.3470 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4185 loss: 1.4185 2022/10/14 00:49:53 - mmengine - INFO - Epoch(train) [29][820/940] lr: 1.0000e-02 eta: 10:14:14 time: 0.5438 data_time: 0.0254 memory: 31836 grad_norm: 4.4090 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6229 loss: 1.6229 2022/10/14 00:50:04 - mmengine - INFO - Epoch(train) [29][840/940] lr: 1.0000e-02 eta: 10:14:03 time: 0.5512 data_time: 0.0317 memory: 31836 grad_norm: 4.3800 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4408 loss: 1.4408 2022/10/14 00:50:15 - mmengine - INFO - Epoch(train) [29][860/940] lr: 1.0000e-02 eta: 10:13:52 time: 0.5520 data_time: 0.0270 memory: 31836 grad_norm: 4.3430 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4566 loss: 1.4566 2022/10/14 00:50:26 - mmengine - INFO - Epoch(train) [29][880/940] lr: 1.0000e-02 eta: 10:13:41 time: 0.5486 data_time: 0.0269 memory: 31836 grad_norm: 4.3268 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.5045 loss: 1.5045 2022/10/14 00:50:37 - mmengine - INFO - Epoch(train) [29][900/940] lr: 1.0000e-02 eta: 10:13:29 time: 0.5449 data_time: 0.0238 memory: 31836 grad_norm: 4.4468 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5469 loss: 1.5469 2022/10/14 00:50:48 - mmengine - INFO - Epoch(train) [29][920/940] lr: 1.0000e-02 eta: 10:13:18 time: 0.5466 data_time: 0.0283 memory: 31836 grad_norm: 4.3697 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3923 loss: 1.3923 2022/10/14 00:50:58 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:50:58 - mmengine - INFO - Epoch(train) [29][940/940] lr: 1.0000e-02 eta: 10:13:06 time: 0.5184 data_time: 0.0232 memory: 31836 grad_norm: 4.7504 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4261 loss: 1.4261 2022/10/14 00:51:11 - mmengine - INFO - Epoch(val) [29][20/78] eta: 0:00:36 time: 0.6350 data_time: 0.4846 memory: 3561 2022/10/14 00:51:19 - mmengine - INFO - Epoch(val) [29][40/78] eta: 0:00:16 time: 0.4243 data_time: 0.2760 memory: 3561 2022/10/14 00:51:31 - mmengine - INFO - Epoch(val) [29][60/78] eta: 0:00:10 time: 0.5893 data_time: 0.4398 memory: 3561 2022/10/14 00:51:41 - mmengine - INFO - Epoch(val) [29][78/78] acc/top1: 0.6597 acc/top5: 0.8623 acc/mean1: 0.6595 2022/10/14 00:51:57 - mmengine - INFO - Epoch(train) [30][20/940] lr: 1.0000e-02 eta: 10:13:05 time: 0.7666 data_time: 0.2149 memory: 31836 grad_norm: 4.3705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3823 loss: 1.3823 2022/10/14 00:52:08 - mmengine - INFO - Epoch(train) [30][40/940] lr: 1.0000e-02 eta: 10:12:54 time: 0.5561 data_time: 0.0293 memory: 31836 grad_norm: 4.2162 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4052 loss: 1.4052 2022/10/14 00:52:19 - mmengine - INFO - Epoch(train) [30][60/940] lr: 1.0000e-02 eta: 10:12:44 time: 0.5590 data_time: 0.0311 memory: 31836 grad_norm: 4.2313 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.6109 loss: 1.6109 2022/10/14 00:52:30 - mmengine - INFO - Epoch(train) [30][80/940] lr: 1.0000e-02 eta: 10:12:32 time: 0.5480 data_time: 0.0236 memory: 31836 grad_norm: 4.3663 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4090 loss: 1.4090 2022/10/14 00:52:41 - mmengine - INFO - Epoch(train) [30][100/940] lr: 1.0000e-02 eta: 10:12:22 time: 0.5550 data_time: 0.0314 memory: 31836 grad_norm: 4.3371 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/10/14 00:52:52 - mmengine - INFO - Epoch(train) [30][120/940] lr: 1.0000e-02 eta: 10:12:11 time: 0.5546 data_time: 0.0280 memory: 31836 grad_norm: 4.4118 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4013 loss: 1.4013 2022/10/14 00:53:03 - mmengine - INFO - Epoch(train) [30][140/940] lr: 1.0000e-02 eta: 10:11:59 time: 0.5435 data_time: 0.0283 memory: 31836 grad_norm: 4.2892 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3840 loss: 1.3840 2022/10/14 00:53:14 - mmengine - INFO - Epoch(train) [30][160/940] lr: 1.0000e-02 eta: 10:11:48 time: 0.5410 data_time: 0.0249 memory: 31836 grad_norm: 4.2903 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4574 loss: 1.4574 2022/10/14 00:53:25 - mmengine - INFO - Epoch(train) [30][180/940] lr: 1.0000e-02 eta: 10:11:36 time: 0.5407 data_time: 0.0286 memory: 31836 grad_norm: 4.4389 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4884 loss: 1.4884 2022/10/14 00:53:36 - mmengine - INFO - Epoch(train) [30][200/940] lr: 1.0000e-02 eta: 10:11:25 time: 0.5388 data_time: 0.0230 memory: 31836 grad_norm: 4.3796 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4026 loss: 1.4026 2022/10/14 00:53:46 - mmengine - INFO - Epoch(train) [30][220/940] lr: 1.0000e-02 eta: 10:11:13 time: 0.5395 data_time: 0.0301 memory: 31836 grad_norm: 4.3024 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4173 loss: 1.4173 2022/10/14 00:53:57 - mmengine - INFO - Epoch(train) [30][240/940] lr: 1.0000e-02 eta: 10:11:01 time: 0.5405 data_time: 0.0234 memory: 31836 grad_norm: 4.2835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4464 loss: 1.4464 2022/10/14 00:54:08 - mmengine - INFO - Epoch(train) [30][260/940] lr: 1.0000e-02 eta: 10:10:50 time: 0.5482 data_time: 0.0333 memory: 31836 grad_norm: 4.3153 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3243 loss: 1.3243 2022/10/14 00:54:19 - mmengine - INFO - Epoch(train) [30][280/940] lr: 1.0000e-02 eta: 10:10:39 time: 0.5456 data_time: 0.0305 memory: 31836 grad_norm: 4.3423 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4397 loss: 1.4397 2022/10/14 00:54:30 - mmengine - INFO - Epoch(train) [30][300/940] lr: 1.0000e-02 eta: 10:10:28 time: 0.5455 data_time: 0.0237 memory: 31836 grad_norm: 4.3438 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4262 loss: 1.4262 2022/10/14 00:54:41 - mmengine - INFO - Epoch(train) [30][320/940] lr: 1.0000e-02 eta: 10:10:16 time: 0.5471 data_time: 0.0258 memory: 31836 grad_norm: 4.2989 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3951 loss: 1.3951 2022/10/14 00:54:52 - mmengine - INFO - Epoch(train) [30][340/940] lr: 1.0000e-02 eta: 10:10:05 time: 0.5457 data_time: 0.0270 memory: 31836 grad_norm: 4.2152 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4258 loss: 1.4258 2022/10/14 00:55:03 - mmengine - INFO - Epoch(train) [30][360/940] lr: 1.0000e-02 eta: 10:09:54 time: 0.5437 data_time: 0.0277 memory: 31836 grad_norm: 4.4407 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3846 loss: 1.3846 2022/10/14 00:55:14 - mmengine - INFO - Epoch(train) [30][380/940] lr: 1.0000e-02 eta: 10:09:42 time: 0.5433 data_time: 0.0244 memory: 31836 grad_norm: 4.3406 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3893 loss: 1.3893 2022/10/14 00:55:24 - mmengine - INFO - Epoch(train) [30][400/940] lr: 1.0000e-02 eta: 10:09:31 time: 0.5439 data_time: 0.0296 memory: 31836 grad_norm: 4.2397 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4180 loss: 1.4180 2022/10/14 00:55:35 - mmengine - INFO - Epoch(train) [30][420/940] lr: 1.0000e-02 eta: 10:09:19 time: 0.5364 data_time: 0.0247 memory: 31836 grad_norm: 4.3221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2979 loss: 1.2979 2022/10/14 00:55:46 - mmengine - INFO - Epoch(train) [30][440/940] lr: 1.0000e-02 eta: 10:09:08 time: 0.5421 data_time: 0.0263 memory: 31836 grad_norm: 4.4512 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5490 loss: 1.5490 2022/10/14 00:55:57 - mmengine - INFO - Epoch(train) [30][460/940] lr: 1.0000e-02 eta: 10:08:57 time: 0.5530 data_time: 0.0280 memory: 31836 grad_norm: 4.3986 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5156 loss: 1.5156 2022/10/14 00:56:08 - mmengine - INFO - Epoch(train) [30][480/940] lr: 1.0000e-02 eta: 10:08:46 time: 0.5468 data_time: 0.0252 memory: 31836 grad_norm: 4.3909 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5645 loss: 1.5645 2022/10/14 00:56:19 - mmengine - INFO - Epoch(train) [30][500/940] lr: 1.0000e-02 eta: 10:08:34 time: 0.5493 data_time: 0.0246 memory: 31836 grad_norm: 4.3669 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5743 loss: 1.5743 2022/10/14 00:56:30 - mmengine - INFO - Epoch(train) [30][520/940] lr: 1.0000e-02 eta: 10:08:24 time: 0.5536 data_time: 0.0346 memory: 31836 grad_norm: 4.3686 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4709 loss: 1.4709 2022/10/14 00:56:41 - mmengine - INFO - Epoch(train) [30][540/940] lr: 1.0000e-02 eta: 10:08:12 time: 0.5430 data_time: 0.0305 memory: 31836 grad_norm: 4.3924 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3863 loss: 1.3863 2022/10/14 00:56:52 - mmengine - INFO - Epoch(train) [30][560/940] lr: 1.0000e-02 eta: 10:08:00 time: 0.5387 data_time: 0.0238 memory: 31836 grad_norm: 4.3728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4547 loss: 1.4547 2022/10/14 00:57:03 - mmengine - INFO - Epoch(train) [30][580/940] lr: 1.0000e-02 eta: 10:07:49 time: 0.5504 data_time: 0.0284 memory: 31836 grad_norm: 4.2068 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3531 loss: 1.3531 2022/10/14 00:57:14 - mmengine - INFO - Epoch(train) [30][600/940] lr: 1.0000e-02 eta: 10:07:38 time: 0.5468 data_time: 0.0269 memory: 31836 grad_norm: 4.3180 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5652 loss: 1.5652 2022/10/14 00:57:25 - mmengine - INFO - Epoch(train) [30][620/940] lr: 1.0000e-02 eta: 10:07:27 time: 0.5448 data_time: 0.0262 memory: 31836 grad_norm: 4.2895 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4234 loss: 1.4234 2022/10/14 00:57:36 - mmengine - INFO - Epoch(train) [30][640/940] lr: 1.0000e-02 eta: 10:07:16 time: 0.5526 data_time: 0.0299 memory: 31836 grad_norm: 4.3419 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/10/14 00:57:47 - mmengine - INFO - Epoch(train) [30][660/940] lr: 1.0000e-02 eta: 10:07:05 time: 0.5490 data_time: 0.0272 memory: 31836 grad_norm: 4.2807 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.3232 loss: 1.3232 2022/10/14 00:57:57 - mmengine - INFO - Epoch(train) [30][680/940] lr: 1.0000e-02 eta: 10:06:53 time: 0.5457 data_time: 0.0262 memory: 31836 grad_norm: 4.3639 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4221 loss: 1.4221 2022/10/14 00:58:09 - mmengine - INFO - Epoch(train) [30][700/940] lr: 1.0000e-02 eta: 10:06:43 time: 0.5530 data_time: 0.0296 memory: 31836 grad_norm: 4.3811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4099 loss: 1.4099 2022/10/14 00:58:20 - mmengine - INFO - Epoch(train) [30][720/940] lr: 1.0000e-02 eta: 10:06:32 time: 0.5668 data_time: 0.0275 memory: 31836 grad_norm: 4.3678 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4511 loss: 1.4511 2022/10/14 00:58:31 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 00:58:31 - mmengine - INFO - Epoch(train) [30][740/940] lr: 1.0000e-02 eta: 10:06:21 time: 0.5423 data_time: 0.0247 memory: 31836 grad_norm: 4.2752 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.4826 loss: 1.4826 2022/10/14 00:58:42 - mmengine - INFO - Epoch(train) [30][760/940] lr: 1.0000e-02 eta: 10:06:10 time: 0.5537 data_time: 0.0315 memory: 31836 grad_norm: 4.2755 top1_acc: 0.6562 top5_acc: 0.6875 loss_cls: 1.2465 loss: 1.2465 2022/10/14 00:58:53 - mmengine - INFO - Epoch(train) [30][780/940] lr: 1.0000e-02 eta: 10:05:58 time: 0.5372 data_time: 0.0238 memory: 31836 grad_norm: 4.4563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4170 loss: 1.4170 2022/10/14 00:59:04 - mmengine - INFO - Epoch(train) [30][800/940] lr: 1.0000e-02 eta: 10:05:48 time: 0.5632 data_time: 0.0291 memory: 31836 grad_norm: 4.3416 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3538 loss: 1.3538 2022/10/14 00:59:15 - mmengine - INFO - Epoch(train) [30][820/940] lr: 1.0000e-02 eta: 10:05:37 time: 0.5535 data_time: 0.0276 memory: 31836 grad_norm: 4.3299 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5205 loss: 1.5205 2022/10/14 00:59:26 - mmengine - INFO - Epoch(train) [30][840/940] lr: 1.0000e-02 eta: 10:05:26 time: 0.5506 data_time: 0.0231 memory: 31836 grad_norm: 4.4588 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2852 loss: 1.2852 2022/10/14 00:59:37 - mmengine - INFO - Epoch(train) [30][860/940] lr: 1.0000e-02 eta: 10:05:15 time: 0.5627 data_time: 0.0243 memory: 31836 grad_norm: 4.2991 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4756 loss: 1.4756 2022/10/14 00:59:48 - mmengine - INFO - Epoch(train) [30][880/940] lr: 1.0000e-02 eta: 10:05:04 time: 0.5535 data_time: 0.0275 memory: 31836 grad_norm: 4.3757 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4537 loss: 1.4537 2022/10/14 00:59:59 - mmengine - INFO - Epoch(train) [30][900/940] lr: 1.0000e-02 eta: 10:04:54 time: 0.5588 data_time: 0.0369 memory: 31836 grad_norm: 4.3473 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4239 loss: 1.4239 2022/10/14 01:00:10 - mmengine - INFO - Epoch(train) [30][920/940] lr: 1.0000e-02 eta: 10:04:42 time: 0.5455 data_time: 0.0265 memory: 31836 grad_norm: 4.4677 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5278 loss: 1.5278 2022/10/14 01:00:21 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:00:21 - mmengine - INFO - Epoch(train) [30][940/940] lr: 1.0000e-02 eta: 10:04:30 time: 0.5119 data_time: 0.0263 memory: 31836 grad_norm: 4.4991 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4389 loss: 1.4389 2022/10/14 01:00:21 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/10/14 01:00:35 - mmengine - INFO - Epoch(val) [30][20/78] eta: 0:00:37 time: 0.6536 data_time: 0.5037 memory: 3561 2022/10/14 01:00:44 - mmengine - INFO - Epoch(val) [30][40/78] eta: 0:00:17 time: 0.4631 data_time: 0.3160 memory: 3561 2022/10/14 01:00:56 - mmengine - INFO - Epoch(val) [30][60/78] eta: 0:00:10 time: 0.5888 data_time: 0.4414 memory: 3561 2022/10/14 01:01:05 - mmengine - INFO - Epoch(val) [30][78/78] acc/top1: 0.6570 acc/top5: 0.8608 acc/mean1: 0.6568 2022/10/14 01:01:20 - mmengine - INFO - Epoch(train) [31][20/940] lr: 1.0000e-02 eta: 10:04:28 time: 0.7535 data_time: 0.2125 memory: 31836 grad_norm: 4.3280 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5585 loss: 1.5585 2022/10/14 01:01:31 - mmengine - INFO - Epoch(train) [31][40/940] lr: 1.0000e-02 eta: 10:04:17 time: 0.5466 data_time: 0.0278 memory: 31836 grad_norm: 4.3425 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5425 loss: 1.5425 2022/10/14 01:01:42 - mmengine - INFO - Epoch(train) [31][60/940] lr: 1.0000e-02 eta: 10:04:06 time: 0.5638 data_time: 0.0331 memory: 31836 grad_norm: 4.3559 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4396 loss: 1.4396 2022/10/14 01:01:53 - mmengine - INFO - Epoch(train) [31][80/940] lr: 1.0000e-02 eta: 10:03:56 time: 0.5628 data_time: 0.0375 memory: 31836 grad_norm: 4.2943 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3596 loss: 1.3596 2022/10/14 01:02:04 - mmengine - INFO - Epoch(train) [31][100/940] lr: 1.0000e-02 eta: 10:03:45 time: 0.5540 data_time: 0.0254 memory: 31836 grad_norm: 4.3079 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3260 loss: 1.3260 2022/10/14 01:02:16 - mmengine - INFO - Epoch(train) [31][120/940] lr: 1.0000e-02 eta: 10:03:34 time: 0.5560 data_time: 0.0276 memory: 31836 grad_norm: 4.3218 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4389 loss: 1.4389 2022/10/14 01:02:26 - mmengine - INFO - Epoch(train) [31][140/940] lr: 1.0000e-02 eta: 10:03:23 time: 0.5460 data_time: 0.0274 memory: 31836 grad_norm: 4.2932 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4965 loss: 1.4965 2022/10/14 01:02:37 - mmengine - INFO - Epoch(train) [31][160/940] lr: 1.0000e-02 eta: 10:03:11 time: 0.5392 data_time: 0.0283 memory: 31836 grad_norm: 4.3742 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5199 loss: 1.5199 2022/10/14 01:02:48 - mmengine - INFO - Epoch(train) [31][180/940] lr: 1.0000e-02 eta: 10:03:00 time: 0.5556 data_time: 0.0285 memory: 31836 grad_norm: 4.4124 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4894 loss: 1.4894 2022/10/14 01:02:59 - mmengine - INFO - Epoch(train) [31][200/940] lr: 1.0000e-02 eta: 10:02:49 time: 0.5508 data_time: 0.0268 memory: 31836 grad_norm: 4.2762 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3876 loss: 1.3876 2022/10/14 01:03:10 - mmengine - INFO - Epoch(train) [31][220/940] lr: 1.0000e-02 eta: 10:02:38 time: 0.5476 data_time: 0.0228 memory: 31836 grad_norm: 4.3765 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3904 loss: 1.3904 2022/10/14 01:03:21 - mmengine - INFO - Epoch(train) [31][240/940] lr: 1.0000e-02 eta: 10:02:27 time: 0.5448 data_time: 0.0301 memory: 31836 grad_norm: 4.4164 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3457 loss: 1.3457 2022/10/14 01:03:32 - mmengine - INFO - Epoch(train) [31][260/940] lr: 1.0000e-02 eta: 10:02:15 time: 0.5455 data_time: 0.0242 memory: 31836 grad_norm: 4.4192 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4105 loss: 1.4105 2022/10/14 01:03:43 - mmengine - INFO - Epoch(train) [31][280/940] lr: 1.0000e-02 eta: 10:02:04 time: 0.5486 data_time: 0.0275 memory: 31836 grad_norm: 4.3514 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3235 loss: 1.3235 2022/10/14 01:03:54 - mmengine - INFO - Epoch(train) [31][300/940] lr: 1.0000e-02 eta: 10:01:53 time: 0.5458 data_time: 0.0305 memory: 31836 grad_norm: 4.4506 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4654 loss: 1.4654 2022/10/14 01:04:05 - mmengine - INFO - Epoch(train) [31][320/940] lr: 1.0000e-02 eta: 10:01:42 time: 0.5430 data_time: 0.0323 memory: 31836 grad_norm: 4.3480 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4738 loss: 1.4738 2022/10/14 01:04:16 - mmengine - INFO - Epoch(train) [31][340/940] lr: 1.0000e-02 eta: 10:01:30 time: 0.5466 data_time: 0.0284 memory: 31836 grad_norm: 4.4391 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4113 loss: 1.4113 2022/10/14 01:04:27 - mmengine - INFO - Epoch(train) [31][360/940] lr: 1.0000e-02 eta: 10:01:19 time: 0.5480 data_time: 0.0277 memory: 31836 grad_norm: 4.4389 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5321 loss: 1.5321 2022/10/14 01:04:38 - mmengine - INFO - Epoch(train) [31][380/940] lr: 1.0000e-02 eta: 10:01:08 time: 0.5437 data_time: 0.0274 memory: 31836 grad_norm: 4.3561 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3304 loss: 1.3304 2022/10/14 01:04:49 - mmengine - INFO - Epoch(train) [31][400/940] lr: 1.0000e-02 eta: 10:00:56 time: 0.5454 data_time: 0.0278 memory: 31836 grad_norm: 4.3696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3639 loss: 1.3639 2022/10/14 01:04:59 - mmengine - INFO - Epoch(train) [31][420/940] lr: 1.0000e-02 eta: 10:00:45 time: 0.5381 data_time: 0.0230 memory: 31836 grad_norm: 4.3870 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4170 loss: 1.4170 2022/10/14 01:05:10 - mmengine - INFO - Epoch(train) [31][440/940] lr: 1.0000e-02 eta: 10:00:34 time: 0.5475 data_time: 0.0282 memory: 31836 grad_norm: 4.3466 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3621 loss: 1.3621 2022/10/14 01:05:21 - mmengine - INFO - Epoch(train) [31][460/940] lr: 1.0000e-02 eta: 10:00:22 time: 0.5438 data_time: 0.0255 memory: 31836 grad_norm: 4.5103 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4081 loss: 1.4081 2022/10/14 01:05:32 - mmengine - INFO - Epoch(train) [31][480/940] lr: 1.0000e-02 eta: 10:00:11 time: 0.5519 data_time: 0.0238 memory: 31836 grad_norm: 4.3580 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3868 loss: 1.3868 2022/10/14 01:05:43 - mmengine - INFO - Epoch(train) [31][500/940] lr: 1.0000e-02 eta: 10:00:00 time: 0.5495 data_time: 0.0266 memory: 31836 grad_norm: 4.4081 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4358 loss: 1.4358 2022/10/14 01:05:54 - mmengine - INFO - Epoch(train) [31][520/940] lr: 1.0000e-02 eta: 9:59:49 time: 0.5424 data_time: 0.0284 memory: 31836 grad_norm: 4.3878 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/10/14 01:06:05 - mmengine - INFO - Epoch(train) [31][540/940] lr: 1.0000e-02 eta: 9:59:38 time: 0.5517 data_time: 0.0231 memory: 31836 grad_norm: 4.5186 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4979 loss: 1.4979 2022/10/14 01:06:16 - mmengine - INFO - Epoch(train) [31][560/940] lr: 1.0000e-02 eta: 9:59:27 time: 0.5474 data_time: 0.0283 memory: 31836 grad_norm: 4.4469 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.4008 loss: 1.4008 2022/10/14 01:06:27 - mmengine - INFO - Epoch(train) [31][580/940] lr: 1.0000e-02 eta: 9:59:15 time: 0.5419 data_time: 0.0277 memory: 31836 grad_norm: 4.3628 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5232 loss: 1.5232 2022/10/14 01:06:38 - mmengine - INFO - Epoch(train) [31][600/940] lr: 1.0000e-02 eta: 9:59:04 time: 0.5443 data_time: 0.0314 memory: 31836 grad_norm: 4.2969 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4835 loss: 1.4835 2022/10/14 01:06:49 - mmengine - INFO - Epoch(train) [31][620/940] lr: 1.0000e-02 eta: 9:58:52 time: 0.5404 data_time: 0.0240 memory: 31836 grad_norm: 4.4178 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5024 loss: 1.5024 2022/10/14 01:06:59 - mmengine - INFO - Epoch(train) [31][640/940] lr: 1.0000e-02 eta: 9:58:41 time: 0.5442 data_time: 0.0323 memory: 31836 grad_norm: 4.5023 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4588 loss: 1.4588 2022/10/14 01:07:10 - mmengine - INFO - Epoch(train) [31][660/940] lr: 1.0000e-02 eta: 9:58:30 time: 0.5437 data_time: 0.0271 memory: 31836 grad_norm: 4.2286 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2901 loss: 1.2901 2022/10/14 01:07:21 - mmengine - INFO - Epoch(train) [31][680/940] lr: 1.0000e-02 eta: 9:58:18 time: 0.5426 data_time: 0.0333 memory: 31836 grad_norm: 4.3648 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4103 loss: 1.4103 2022/10/14 01:07:32 - mmengine - INFO - Epoch(train) [31][700/940] lr: 1.0000e-02 eta: 9:58:07 time: 0.5446 data_time: 0.0343 memory: 31836 grad_norm: 4.4039 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4164 loss: 1.4164 2022/10/14 01:07:43 - mmengine - INFO - Epoch(train) [31][720/940] lr: 1.0000e-02 eta: 9:57:55 time: 0.5413 data_time: 0.0302 memory: 31836 grad_norm: 4.4209 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6267 loss: 1.6267 2022/10/14 01:07:54 - mmengine - INFO - Epoch(train) [31][740/940] lr: 1.0000e-02 eta: 9:57:44 time: 0.5458 data_time: 0.0261 memory: 31836 grad_norm: 4.3345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4957 loss: 1.4957 2022/10/14 01:08:05 - mmengine - INFO - Epoch(train) [31][760/940] lr: 1.0000e-02 eta: 9:57:33 time: 0.5483 data_time: 0.0301 memory: 31836 grad_norm: 4.3751 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4267 loss: 1.4267 2022/10/14 01:08:16 - mmengine - INFO - Epoch(train) [31][780/940] lr: 1.0000e-02 eta: 9:57:22 time: 0.5439 data_time: 0.0261 memory: 31836 grad_norm: 4.3779 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/10/14 01:08:27 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:08:27 - mmengine - INFO - Epoch(train) [31][800/940] lr: 1.0000e-02 eta: 9:57:10 time: 0.5444 data_time: 0.0280 memory: 31836 grad_norm: 4.4085 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.3871 loss: 1.3871 2022/10/14 01:08:37 - mmengine - INFO - Epoch(train) [31][820/940] lr: 1.0000e-02 eta: 9:56:59 time: 0.5463 data_time: 0.0323 memory: 31836 grad_norm: 4.4359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3370 loss: 1.3370 2022/10/14 01:08:48 - mmengine - INFO - Epoch(train) [31][840/940] lr: 1.0000e-02 eta: 9:56:48 time: 0.5423 data_time: 0.0298 memory: 31836 grad_norm: 4.3951 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2592 loss: 1.2592 2022/10/14 01:08:59 - mmengine - INFO - Epoch(train) [31][860/940] lr: 1.0000e-02 eta: 9:56:36 time: 0.5417 data_time: 0.0249 memory: 31836 grad_norm: 4.3461 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4807 loss: 1.4807 2022/10/14 01:09:10 - mmengine - INFO - Epoch(train) [31][880/940] lr: 1.0000e-02 eta: 9:56:25 time: 0.5435 data_time: 0.0246 memory: 31836 grad_norm: 4.2845 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5038 loss: 1.5038 2022/10/14 01:09:21 - mmengine - INFO - Epoch(train) [31][900/940] lr: 1.0000e-02 eta: 9:56:13 time: 0.5403 data_time: 0.0280 memory: 31836 grad_norm: 4.4681 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4668 loss: 1.4668 2022/10/14 01:09:32 - mmengine - INFO - Epoch(train) [31][920/940] lr: 1.0000e-02 eta: 9:56:02 time: 0.5419 data_time: 0.0231 memory: 31836 grad_norm: 4.4285 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/10/14 01:09:42 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:09:42 - mmengine - INFO - Epoch(train) [31][940/940] lr: 1.0000e-02 eta: 9:55:49 time: 0.5147 data_time: 0.0214 memory: 31836 grad_norm: 4.5751 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3569 loss: 1.3569 2022/10/14 01:09:55 - mmengine - INFO - Epoch(val) [31][20/78] eta: 0:00:37 time: 0.6466 data_time: 0.4953 memory: 3561 2022/10/14 01:10:04 - mmengine - INFO - Epoch(val) [31][40/78] eta: 0:00:17 time: 0.4514 data_time: 0.3043 memory: 3561 2022/10/14 01:10:15 - mmengine - INFO - Epoch(val) [31][60/78] eta: 0:00:09 time: 0.5388 data_time: 0.3891 memory: 3561 2022/10/14 01:10:26 - mmengine - INFO - Epoch(val) [31][78/78] acc/top1: 0.6650 acc/top5: 0.8660 acc/mean1: 0.6649 2022/10/14 01:10:26 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_22.pth is removed 2022/10/14 01:10:26 - mmengine - INFO - The best checkpoint with 0.6650 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/10/14 01:10:41 - mmengine - INFO - Epoch(train) [32][20/940] lr: 1.0000e-02 eta: 9:55:46 time: 0.7260 data_time: 0.2098 memory: 31836 grad_norm: 4.2846 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3931 loss: 1.3931 2022/10/14 01:10:52 - mmengine - INFO - Epoch(train) [32][40/940] lr: 1.0000e-02 eta: 9:55:35 time: 0.5573 data_time: 0.0250 memory: 31836 grad_norm: 4.2960 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4940 loss: 1.4940 2022/10/14 01:11:04 - mmengine - INFO - Epoch(train) [32][60/940] lr: 1.0000e-02 eta: 9:55:25 time: 0.5745 data_time: 0.0335 memory: 31836 grad_norm: 4.2577 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4701 loss: 1.4701 2022/10/14 01:11:15 - mmengine - INFO - Epoch(train) [32][80/940] lr: 1.0000e-02 eta: 9:55:15 time: 0.5625 data_time: 0.0266 memory: 31836 grad_norm: 4.4027 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4563 loss: 1.4563 2022/10/14 01:11:26 - mmengine - INFO - Epoch(train) [32][100/940] lr: 1.0000e-02 eta: 9:55:03 time: 0.5500 data_time: 0.0280 memory: 31836 grad_norm: 4.3516 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4732 loss: 1.4732 2022/10/14 01:11:37 - mmengine - INFO - Epoch(train) [32][120/940] lr: 1.0000e-02 eta: 9:54:52 time: 0.5416 data_time: 0.0268 memory: 31836 grad_norm: 4.4224 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3702 loss: 1.3702 2022/10/14 01:11:48 - mmengine - INFO - Epoch(train) [32][140/940] lr: 1.0000e-02 eta: 9:54:41 time: 0.5423 data_time: 0.0280 memory: 31836 grad_norm: 4.4525 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3162 loss: 1.3162 2022/10/14 01:11:58 - mmengine - INFO - Epoch(train) [32][160/940] lr: 1.0000e-02 eta: 9:54:29 time: 0.5440 data_time: 0.0272 memory: 31836 grad_norm: 4.4408 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3959 loss: 1.3959 2022/10/14 01:12:09 - mmengine - INFO - Epoch(train) [32][180/940] lr: 1.0000e-02 eta: 9:54:18 time: 0.5420 data_time: 0.0218 memory: 31836 grad_norm: 4.4448 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4055 loss: 1.4055 2022/10/14 01:12:20 - mmengine - INFO - Epoch(train) [32][200/940] lr: 1.0000e-02 eta: 9:54:06 time: 0.5387 data_time: 0.0235 memory: 31836 grad_norm: 4.2419 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4583 loss: 1.4583 2022/10/14 01:12:31 - mmengine - INFO - Epoch(train) [32][220/940] lr: 1.0000e-02 eta: 9:53:55 time: 0.5444 data_time: 0.0271 memory: 31836 grad_norm: 4.5029 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4709 loss: 1.4709 2022/10/14 01:12:42 - mmengine - INFO - Epoch(train) [32][240/940] lr: 1.0000e-02 eta: 9:53:44 time: 0.5506 data_time: 0.0268 memory: 31836 grad_norm: 4.2832 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.3791 loss: 1.3791 2022/10/14 01:12:53 - mmengine - INFO - Epoch(train) [32][260/940] lr: 1.0000e-02 eta: 9:53:33 time: 0.5489 data_time: 0.0305 memory: 31836 grad_norm: 4.3888 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5523 loss: 1.5523 2022/10/14 01:13:04 - mmengine - INFO - Epoch(train) [32][280/940] lr: 1.0000e-02 eta: 9:53:22 time: 0.5572 data_time: 0.0346 memory: 31836 grad_norm: 4.4133 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3119 loss: 1.3119 2022/10/14 01:13:15 - mmengine - INFO - Epoch(train) [32][300/940] lr: 1.0000e-02 eta: 9:53:10 time: 0.5417 data_time: 0.0221 memory: 31836 grad_norm: 4.3702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5047 loss: 1.5047 2022/10/14 01:13:26 - mmengine - INFO - Epoch(train) [32][320/940] lr: 1.0000e-02 eta: 9:52:59 time: 0.5506 data_time: 0.0296 memory: 31836 grad_norm: 4.3663 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4648 loss: 1.4648 2022/10/14 01:13:37 - mmengine - INFO - Epoch(train) [32][340/940] lr: 1.0000e-02 eta: 9:52:48 time: 0.5463 data_time: 0.0254 memory: 31836 grad_norm: 4.4646 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.4852 loss: 1.4852 2022/10/14 01:13:48 - mmengine - INFO - Epoch(train) [32][360/940] lr: 1.0000e-02 eta: 9:52:37 time: 0.5383 data_time: 0.0262 memory: 31836 grad_norm: 4.4167 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3637 loss: 1.3637 2022/10/14 01:13:59 - mmengine - INFO - Epoch(train) [32][380/940] lr: 1.0000e-02 eta: 9:52:25 time: 0.5482 data_time: 0.0273 memory: 31836 grad_norm: 4.3925 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4275 loss: 1.4275 2022/10/14 01:14:10 - mmengine - INFO - Epoch(train) [32][400/940] lr: 1.0000e-02 eta: 9:52:14 time: 0.5466 data_time: 0.0243 memory: 31836 grad_norm: 4.4265 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5244 loss: 1.5244 2022/10/14 01:14:20 - mmengine - INFO - Epoch(train) [32][420/940] lr: 1.0000e-02 eta: 9:52:03 time: 0.5451 data_time: 0.0309 memory: 31836 grad_norm: 4.2705 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3524 loss: 1.3524 2022/10/14 01:14:32 - mmengine - INFO - Epoch(train) [32][440/940] lr: 1.0000e-02 eta: 9:51:52 time: 0.5525 data_time: 0.0336 memory: 31836 grad_norm: 4.4176 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4389 loss: 1.4389 2022/10/14 01:14:43 - mmengine - INFO - Epoch(train) [32][460/940] lr: 1.0000e-02 eta: 9:51:41 time: 0.5512 data_time: 0.0303 memory: 31836 grad_norm: 4.4628 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3723 loss: 1.3723 2022/10/14 01:14:53 - mmengine - INFO - Epoch(train) [32][480/940] lr: 1.0000e-02 eta: 9:51:30 time: 0.5447 data_time: 0.0284 memory: 31836 grad_norm: 4.4485 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/10/14 01:15:04 - mmengine - INFO - Epoch(train) [32][500/940] lr: 1.0000e-02 eta: 9:51:18 time: 0.5395 data_time: 0.0289 memory: 31836 grad_norm: 4.4354 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5282 loss: 1.5282 2022/10/14 01:15:15 - mmengine - INFO - Epoch(train) [32][520/940] lr: 1.0000e-02 eta: 9:51:07 time: 0.5440 data_time: 0.0285 memory: 31836 grad_norm: 4.3177 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.4552 loss: 1.4552 2022/10/14 01:15:26 - mmengine - INFO - Epoch(train) [32][540/940] lr: 1.0000e-02 eta: 9:50:55 time: 0.5415 data_time: 0.0253 memory: 31836 grad_norm: 4.5087 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3453 loss: 1.3453 2022/10/14 01:15:37 - mmengine - INFO - Epoch(train) [32][560/940] lr: 1.0000e-02 eta: 9:50:44 time: 0.5429 data_time: 0.0251 memory: 31836 grad_norm: 4.5368 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4450 loss: 1.4450 2022/10/14 01:15:48 - mmengine - INFO - Epoch(train) [32][580/940] lr: 1.0000e-02 eta: 9:50:33 time: 0.5467 data_time: 0.0249 memory: 31836 grad_norm: 4.3483 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3184 loss: 1.3184 2022/10/14 01:15:59 - mmengine - INFO - Epoch(train) [32][600/940] lr: 1.0000e-02 eta: 9:50:22 time: 0.5555 data_time: 0.0238 memory: 31836 grad_norm: 4.3870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3446 loss: 1.3446 2022/10/14 01:16:10 - mmengine - INFO - Epoch(train) [32][620/940] lr: 1.0000e-02 eta: 9:50:11 time: 0.5531 data_time: 0.0284 memory: 31836 grad_norm: 4.4632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3058 loss: 1.3058 2022/10/14 01:16:21 - mmengine - INFO - Epoch(train) [32][640/940] lr: 1.0000e-02 eta: 9:49:59 time: 0.5378 data_time: 0.0294 memory: 31836 grad_norm: 4.4353 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5276 loss: 1.5276 2022/10/14 01:16:32 - mmengine - INFO - Epoch(train) [32][660/940] lr: 1.0000e-02 eta: 9:49:48 time: 0.5523 data_time: 0.0351 memory: 31836 grad_norm: 4.4502 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3330 loss: 1.3330 2022/10/14 01:16:43 - mmengine - INFO - Epoch(train) [32][680/940] lr: 1.0000e-02 eta: 9:49:37 time: 0.5555 data_time: 0.0264 memory: 31836 grad_norm: 4.3591 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.3589 loss: 1.3589 2022/10/14 01:16:54 - mmengine - INFO - Epoch(train) [32][700/940] lr: 1.0000e-02 eta: 9:49:26 time: 0.5394 data_time: 0.0241 memory: 31836 grad_norm: 4.4565 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.3733 loss: 1.3733 2022/10/14 01:17:05 - mmengine - INFO - Epoch(train) [32][720/940] lr: 1.0000e-02 eta: 9:49:15 time: 0.5459 data_time: 0.0282 memory: 31836 grad_norm: 4.4289 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3513 loss: 1.3513 2022/10/14 01:17:15 - mmengine - INFO - Epoch(train) [32][740/940] lr: 1.0000e-02 eta: 9:49:03 time: 0.5457 data_time: 0.0276 memory: 31836 grad_norm: 4.3727 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4756 loss: 1.4756 2022/10/14 01:17:26 - mmengine - INFO - Epoch(train) [32][760/940] lr: 1.0000e-02 eta: 9:48:52 time: 0.5458 data_time: 0.0248 memory: 31836 grad_norm: 4.3661 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3182 loss: 1.3182 2022/10/14 01:17:37 - mmengine - INFO - Epoch(train) [32][780/940] lr: 1.0000e-02 eta: 9:48:41 time: 0.5469 data_time: 0.0298 memory: 31836 grad_norm: 4.3728 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3433 loss: 1.3433 2022/10/14 01:17:48 - mmengine - INFO - Epoch(train) [32][800/940] lr: 1.0000e-02 eta: 9:48:30 time: 0.5481 data_time: 0.0276 memory: 31836 grad_norm: 4.4232 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4544 loss: 1.4544 2022/10/14 01:17:59 - mmengine - INFO - Epoch(train) [32][820/940] lr: 1.0000e-02 eta: 9:48:19 time: 0.5526 data_time: 0.0312 memory: 31836 grad_norm: 4.3936 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3896 loss: 1.3896 2022/10/14 01:18:10 - mmengine - INFO - Epoch(train) [32][840/940] lr: 1.0000e-02 eta: 9:48:08 time: 0.5443 data_time: 0.0280 memory: 31836 grad_norm: 4.4911 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3052 loss: 1.3052 2022/10/14 01:18:21 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:18:21 - mmengine - INFO - Epoch(train) [32][860/940] lr: 1.0000e-02 eta: 9:47:56 time: 0.5469 data_time: 0.0305 memory: 31836 grad_norm: 4.4057 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4641 loss: 1.4641 2022/10/14 01:18:32 - mmengine - INFO - Epoch(train) [32][880/940] lr: 1.0000e-02 eta: 9:47:45 time: 0.5468 data_time: 0.0363 memory: 31836 grad_norm: 4.3899 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4299 loss: 1.4299 2022/10/14 01:18:43 - mmengine - INFO - Epoch(train) [32][900/940] lr: 1.0000e-02 eta: 9:47:33 time: 0.5352 data_time: 0.0221 memory: 31836 grad_norm: 4.3115 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2288 loss: 1.2288 2022/10/14 01:18:54 - mmengine - INFO - Epoch(train) [32][920/940] lr: 1.0000e-02 eta: 9:47:22 time: 0.5448 data_time: 0.0264 memory: 31836 grad_norm: 4.4146 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3192 loss: 1.3192 2022/10/14 01:19:04 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:19:04 - mmengine - INFO - Epoch(train) [32][940/940] lr: 1.0000e-02 eta: 9:47:10 time: 0.5189 data_time: 0.0222 memory: 31836 grad_norm: 4.6166 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3670 loss: 1.3670 2022/10/14 01:19:17 - mmengine - INFO - Epoch(val) [32][20/78] eta: 0:00:38 time: 0.6629 data_time: 0.5081 memory: 3561 2022/10/14 01:19:26 - mmengine - INFO - Epoch(val) [32][40/78] eta: 0:00:17 time: 0.4570 data_time: 0.3098 memory: 3561 2022/10/14 01:19:39 - mmengine - INFO - Epoch(val) [32][60/78] eta: 0:00:11 time: 0.6342 data_time: 0.4862 memory: 3561 2022/10/14 01:19:50 - mmengine - INFO - Epoch(val) [32][78/78] acc/top1: 0.6580 acc/top5: 0.8606 acc/mean1: 0.6579 2022/10/14 01:20:07 - mmengine - INFO - Epoch(train) [33][20/940] lr: 1.0000e-02 eta: 9:47:10 time: 0.8266 data_time: 0.3072 memory: 31836 grad_norm: 4.3777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2691 loss: 1.2691 2022/10/14 01:20:18 - mmengine - INFO - Epoch(train) [33][40/940] lr: 1.0000e-02 eta: 9:46:59 time: 0.5508 data_time: 0.0273 memory: 31836 grad_norm: 4.3888 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4235 loss: 1.4235 2022/10/14 01:20:29 - mmengine - INFO - Epoch(train) [33][60/940] lr: 1.0000e-02 eta: 9:46:48 time: 0.5441 data_time: 0.0330 memory: 31836 grad_norm: 4.4306 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.4273 loss: 1.4273 2022/10/14 01:20:40 - mmengine - INFO - Epoch(train) [33][80/940] lr: 1.0000e-02 eta: 9:46:37 time: 0.5539 data_time: 0.0331 memory: 31836 grad_norm: 4.4153 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3099 loss: 1.3099 2022/10/14 01:20:51 - mmengine - INFO - Epoch(train) [33][100/940] lr: 1.0000e-02 eta: 9:46:26 time: 0.5452 data_time: 0.0238 memory: 31836 grad_norm: 4.4960 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3951 loss: 1.3951 2022/10/14 01:21:02 - mmengine - INFO - Epoch(train) [33][120/940] lr: 1.0000e-02 eta: 9:46:15 time: 0.5512 data_time: 0.0344 memory: 31836 grad_norm: 4.4261 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.4768 loss: 1.4768 2022/10/14 01:21:13 - mmengine - INFO - Epoch(train) [33][140/940] lr: 1.0000e-02 eta: 9:46:04 time: 0.5493 data_time: 0.0255 memory: 31836 grad_norm: 4.4617 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4297 loss: 1.4297 2022/10/14 01:21:26 - mmengine - INFO - Epoch(train) [33][160/940] lr: 1.0000e-02 eta: 9:45:57 time: 0.6591 data_time: 0.0267 memory: 31836 grad_norm: 4.4522 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3219 loss: 1.3219 2022/10/14 01:21:37 - mmengine - INFO - Epoch(train) [33][180/940] lr: 1.0000e-02 eta: 9:45:46 time: 0.5459 data_time: 0.0294 memory: 31836 grad_norm: 4.3581 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4166 loss: 1.4166 2022/10/14 01:21:48 - mmengine - INFO - Epoch(train) [33][200/940] lr: 1.0000e-02 eta: 9:45:35 time: 0.5442 data_time: 0.0249 memory: 31836 grad_norm: 4.5324 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3606 loss: 1.3606 2022/10/14 01:21:59 - mmengine - INFO - Epoch(train) [33][220/940] lr: 1.0000e-02 eta: 9:45:23 time: 0.5457 data_time: 0.0308 memory: 31836 grad_norm: 4.4920 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4055 loss: 1.4055 2022/10/14 01:22:09 - mmengine - INFO - Epoch(train) [33][240/940] lr: 1.0000e-02 eta: 9:45:12 time: 0.5382 data_time: 0.0274 memory: 31836 grad_norm: 4.3885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3161 loss: 1.3161 2022/10/14 01:22:20 - mmengine - INFO - Epoch(train) [33][260/940] lr: 1.0000e-02 eta: 9:45:01 time: 0.5490 data_time: 0.0245 memory: 31836 grad_norm: 4.5179 top1_acc: 0.6875 top5_acc: 0.7188 loss_cls: 1.3730 loss: 1.3730 2022/10/14 01:22:31 - mmengine - INFO - Epoch(train) [33][280/940] lr: 1.0000e-02 eta: 9:44:49 time: 0.5467 data_time: 0.0327 memory: 31836 grad_norm: 4.2796 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4543 loss: 1.4543 2022/10/14 01:22:42 - mmengine - INFO - Epoch(train) [33][300/940] lr: 1.0000e-02 eta: 9:44:38 time: 0.5358 data_time: 0.0248 memory: 31836 grad_norm: 4.4717 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3734 loss: 1.3734 2022/10/14 01:22:53 - mmengine - INFO - Epoch(train) [33][320/940] lr: 1.0000e-02 eta: 9:44:26 time: 0.5434 data_time: 0.0266 memory: 31836 grad_norm: 4.5492 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4413 loss: 1.4413 2022/10/14 01:23:04 - mmengine - INFO - Epoch(train) [33][340/940] lr: 1.0000e-02 eta: 9:44:15 time: 0.5469 data_time: 0.0241 memory: 31836 grad_norm: 4.5214 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4840 loss: 1.4840 2022/10/14 01:23:15 - mmengine - INFO - Epoch(train) [33][360/940] lr: 1.0000e-02 eta: 9:44:04 time: 0.5449 data_time: 0.0280 memory: 31836 grad_norm: 4.3926 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5029 loss: 1.5029 2022/10/14 01:23:26 - mmengine - INFO - Epoch(train) [33][380/940] lr: 1.0000e-02 eta: 9:43:52 time: 0.5440 data_time: 0.0247 memory: 31836 grad_norm: 4.4686 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3779 loss: 1.3779 2022/10/14 01:23:37 - mmengine - INFO - Epoch(train) [33][400/940] lr: 1.0000e-02 eta: 9:43:41 time: 0.5492 data_time: 0.0299 memory: 31836 grad_norm: 4.4602 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/10/14 01:23:48 - mmengine - INFO - Epoch(train) [33][420/940] lr: 1.0000e-02 eta: 9:43:30 time: 0.5450 data_time: 0.0291 memory: 31836 grad_norm: 4.4165 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4921 loss: 1.4921 2022/10/14 01:23:58 - mmengine - INFO - Epoch(train) [33][440/940] lr: 1.0000e-02 eta: 9:43:19 time: 0.5464 data_time: 0.0234 memory: 31836 grad_norm: 4.5492 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.4205 loss: 1.4205 2022/10/14 01:24:09 - mmengine - INFO - Epoch(train) [33][460/940] lr: 1.0000e-02 eta: 9:43:07 time: 0.5427 data_time: 0.0268 memory: 31836 grad_norm: 4.3906 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.3954 loss: 1.3954 2022/10/14 01:24:20 - mmengine - INFO - Epoch(train) [33][480/940] lr: 1.0000e-02 eta: 9:42:56 time: 0.5427 data_time: 0.0305 memory: 31836 grad_norm: 4.4968 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3773 loss: 1.3773 2022/10/14 01:24:31 - mmengine - INFO - Epoch(train) [33][500/940] lr: 1.0000e-02 eta: 9:42:45 time: 0.5547 data_time: 0.0339 memory: 31836 grad_norm: 4.4846 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4231 loss: 1.4231 2022/10/14 01:24:42 - mmengine - INFO - Epoch(train) [33][520/940] lr: 1.0000e-02 eta: 9:42:34 time: 0.5369 data_time: 0.0245 memory: 31836 grad_norm: 4.4882 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/10/14 01:24:53 - mmengine - INFO - Epoch(train) [33][540/940] lr: 1.0000e-02 eta: 9:42:22 time: 0.5434 data_time: 0.0266 memory: 31836 grad_norm: 4.4128 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3460 loss: 1.3460 2022/10/14 01:25:04 - mmengine - INFO - Epoch(train) [33][560/940] lr: 1.0000e-02 eta: 9:42:11 time: 0.5482 data_time: 0.0318 memory: 31836 grad_norm: 4.3651 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3105 loss: 1.3105 2022/10/14 01:25:15 - mmengine - INFO - Epoch(train) [33][580/940] lr: 1.0000e-02 eta: 9:42:00 time: 0.5548 data_time: 0.0246 memory: 31836 grad_norm: 4.4065 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4465 loss: 1.4465 2022/10/14 01:25:26 - mmengine - INFO - Epoch(train) [33][600/940] lr: 1.0000e-02 eta: 9:41:49 time: 0.5402 data_time: 0.0274 memory: 31836 grad_norm: 4.3365 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2711 loss: 1.2711 2022/10/14 01:25:37 - mmengine - INFO - Epoch(train) [33][620/940] lr: 1.0000e-02 eta: 9:41:38 time: 0.5489 data_time: 0.0328 memory: 31836 grad_norm: 4.5218 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4429 loss: 1.4429 2022/10/14 01:25:48 - mmengine - INFO - Epoch(train) [33][640/940] lr: 1.0000e-02 eta: 9:41:26 time: 0.5419 data_time: 0.0326 memory: 31836 grad_norm: 4.5145 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3910 loss: 1.3910 2022/10/14 01:25:59 - mmengine - INFO - Epoch(train) [33][660/940] lr: 1.0000e-02 eta: 9:41:15 time: 0.5528 data_time: 0.0274 memory: 31836 grad_norm: 4.3765 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3402 loss: 1.3402 2022/10/14 01:26:09 - mmengine - INFO - Epoch(train) [33][680/940] lr: 1.0000e-02 eta: 9:41:04 time: 0.5423 data_time: 0.0277 memory: 31836 grad_norm: 4.4585 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3503 loss: 1.3503 2022/10/14 01:26:20 - mmengine - INFO - Epoch(train) [33][700/940] lr: 1.0000e-02 eta: 9:40:53 time: 0.5453 data_time: 0.0267 memory: 31836 grad_norm: 4.4524 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4246 loss: 1.4246 2022/10/14 01:26:31 - mmengine - INFO - Epoch(train) [33][720/940] lr: 1.0000e-02 eta: 9:40:41 time: 0.5472 data_time: 0.0360 memory: 31836 grad_norm: 4.4402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4134 loss: 1.4134 2022/10/14 01:26:42 - mmengine - INFO - Epoch(train) [33][740/940] lr: 1.0000e-02 eta: 9:40:30 time: 0.5416 data_time: 0.0294 memory: 31836 grad_norm: 4.5149 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.5860 loss: 1.5860 2022/10/14 01:26:53 - mmengine - INFO - Epoch(train) [33][760/940] lr: 1.0000e-02 eta: 9:40:19 time: 0.5491 data_time: 0.0225 memory: 31836 grad_norm: 4.4811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/10/14 01:27:04 - mmengine - INFO - Epoch(train) [33][780/940] lr: 1.0000e-02 eta: 9:40:07 time: 0.5422 data_time: 0.0246 memory: 31836 grad_norm: 4.4020 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4506 loss: 1.4506 2022/10/14 01:27:15 - mmengine - INFO - Epoch(train) [33][800/940] lr: 1.0000e-02 eta: 9:39:56 time: 0.5428 data_time: 0.0294 memory: 31836 grad_norm: 4.4350 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4066 loss: 1.4066 2022/10/14 01:27:26 - mmengine - INFO - Epoch(train) [33][820/940] lr: 1.0000e-02 eta: 9:39:45 time: 0.5412 data_time: 0.0232 memory: 31836 grad_norm: 4.3784 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3847 loss: 1.3847 2022/10/14 01:27:37 - mmengine - INFO - Epoch(train) [33][840/940] lr: 1.0000e-02 eta: 9:39:33 time: 0.5466 data_time: 0.0287 memory: 31836 grad_norm: 4.4639 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4832 loss: 1.4832 2022/10/14 01:27:48 - mmengine - INFO - Epoch(train) [33][860/940] lr: 1.0000e-02 eta: 9:39:22 time: 0.5456 data_time: 0.0372 memory: 31836 grad_norm: 4.4744 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3349 loss: 1.3349 2022/10/14 01:27:58 - mmengine - INFO - Epoch(train) [33][880/940] lr: 1.0000e-02 eta: 9:39:11 time: 0.5454 data_time: 0.0246 memory: 31836 grad_norm: 4.4977 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4573 loss: 1.4573 2022/10/14 01:28:09 - mmengine - INFO - Epoch(train) [33][900/940] lr: 1.0000e-02 eta: 9:38:59 time: 0.5359 data_time: 0.0260 memory: 31836 grad_norm: 4.4768 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3602 loss: 1.3602 2022/10/14 01:28:20 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:28:20 - mmengine - INFO - Epoch(train) [33][920/940] lr: 1.0000e-02 eta: 9:38:48 time: 0.5433 data_time: 0.0292 memory: 31836 grad_norm: 4.4061 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2765 loss: 1.2765 2022/10/14 01:28:30 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:28:30 - mmengine - INFO - Epoch(train) [33][940/940] lr: 1.0000e-02 eta: 9:38:35 time: 0.5118 data_time: 0.0250 memory: 31836 grad_norm: 4.6324 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.5675 loss: 1.5675 2022/10/14 01:28:30 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/10/14 01:28:44 - mmengine - INFO - Epoch(val) [33][20/78] eta: 0:00:35 time: 0.6187 data_time: 0.4690 memory: 3561 2022/10/14 01:28:54 - mmengine - INFO - Epoch(val) [33][40/78] eta: 0:00:18 time: 0.4949 data_time: 0.3469 memory: 3561 2022/10/14 01:29:05 - mmengine - INFO - Epoch(val) [33][60/78] eta: 0:00:09 time: 0.5381 data_time: 0.3896 memory: 3561 2022/10/14 01:29:16 - mmengine - INFO - Epoch(val) [33][78/78] acc/top1: 0.6548 acc/top5: 0.8579 acc/mean1: 0.6547 2022/10/14 01:29:32 - mmengine - INFO - Epoch(train) [34][20/940] lr: 1.0000e-02 eta: 9:38:34 time: 0.7989 data_time: 0.2068 memory: 31836 grad_norm: 4.4142 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3499 loss: 1.3499 2022/10/14 01:29:43 - mmengine - INFO - Epoch(train) [34][40/940] lr: 1.0000e-02 eta: 9:38:23 time: 0.5445 data_time: 0.0247 memory: 31836 grad_norm: 4.3410 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4314 loss: 1.4314 2022/10/14 01:29:54 - mmengine - INFO - Epoch(train) [34][60/940] lr: 1.0000e-02 eta: 9:38:12 time: 0.5512 data_time: 0.0357 memory: 31836 grad_norm: 4.3515 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4456 loss: 1.4456 2022/10/14 01:30:05 - mmengine - INFO - Epoch(train) [34][80/940] lr: 1.0000e-02 eta: 9:38:01 time: 0.5485 data_time: 0.0312 memory: 31836 grad_norm: 4.3866 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4349 loss: 1.4349 2022/10/14 01:30:16 - mmengine - INFO - Epoch(train) [34][100/940] lr: 1.0000e-02 eta: 9:37:49 time: 0.5386 data_time: 0.0265 memory: 31836 grad_norm: 4.3262 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3715 loss: 1.3715 2022/10/14 01:30:27 - mmengine - INFO - Epoch(train) [34][120/940] lr: 1.0000e-02 eta: 9:37:38 time: 0.5464 data_time: 0.0249 memory: 31836 grad_norm: 4.4102 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3866 loss: 1.3866 2022/10/14 01:30:38 - mmengine - INFO - Epoch(train) [34][140/940] lr: 1.0000e-02 eta: 9:37:27 time: 0.5424 data_time: 0.0257 memory: 31836 grad_norm: 4.3948 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3586 loss: 1.3586 2022/10/14 01:30:49 - mmengine - INFO - Epoch(train) [34][160/940] lr: 1.0000e-02 eta: 9:37:16 time: 0.5514 data_time: 0.0305 memory: 31836 grad_norm: 4.5103 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3381 loss: 1.3381 2022/10/14 01:31:00 - mmengine - INFO - Epoch(train) [34][180/940] lr: 1.0000e-02 eta: 9:37:05 time: 0.5531 data_time: 0.0260 memory: 31836 grad_norm: 4.3951 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4308 loss: 1.4308 2022/10/14 01:31:11 - mmengine - INFO - Epoch(train) [34][200/940] lr: 1.0000e-02 eta: 9:36:53 time: 0.5462 data_time: 0.0279 memory: 31836 grad_norm: 4.3560 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5282 loss: 1.5282 2022/10/14 01:31:22 - mmengine - INFO - Epoch(train) [34][220/940] lr: 1.0000e-02 eta: 9:36:42 time: 0.5426 data_time: 0.0259 memory: 31836 grad_norm: 4.4681 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4923 loss: 1.4923 2022/10/14 01:31:33 - mmengine - INFO - Epoch(train) [34][240/940] lr: 1.0000e-02 eta: 9:36:31 time: 0.5439 data_time: 0.0269 memory: 31836 grad_norm: 4.4867 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2963 loss: 1.2963 2022/10/14 01:31:43 - mmengine - INFO - Epoch(train) [34][260/940] lr: 1.0000e-02 eta: 9:36:19 time: 0.5435 data_time: 0.0318 memory: 31836 grad_norm: 4.4261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/10/14 01:31:54 - mmengine - INFO - Epoch(train) [34][280/940] lr: 1.0000e-02 eta: 9:36:08 time: 0.5462 data_time: 0.0282 memory: 31836 grad_norm: 4.4379 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4439 loss: 1.4439 2022/10/14 01:32:05 - mmengine - INFO - Epoch(train) [34][300/940] lr: 1.0000e-02 eta: 9:35:57 time: 0.5447 data_time: 0.0246 memory: 31836 grad_norm: 4.4606 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3249 loss: 1.3249 2022/10/14 01:32:16 - mmengine - INFO - Epoch(train) [34][320/940] lr: 1.0000e-02 eta: 9:35:46 time: 0.5482 data_time: 0.0304 memory: 31836 grad_norm: 4.4737 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3262 loss: 1.3262 2022/10/14 01:32:27 - mmengine - INFO - Epoch(train) [34][340/940] lr: 1.0000e-02 eta: 9:35:34 time: 0.5428 data_time: 0.0292 memory: 31836 grad_norm: 4.3677 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3120 loss: 1.3120 2022/10/14 01:32:38 - mmengine - INFO - Epoch(train) [34][360/940] lr: 1.0000e-02 eta: 9:35:23 time: 0.5392 data_time: 0.0242 memory: 31836 grad_norm: 4.5432 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/10/14 01:32:49 - mmengine - INFO - Epoch(train) [34][380/940] lr: 1.0000e-02 eta: 9:35:12 time: 0.5521 data_time: 0.0318 memory: 31836 grad_norm: 4.3461 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4055 loss: 1.4055 2022/10/14 01:33:00 - mmengine - INFO - Epoch(train) [34][400/940] lr: 1.0000e-02 eta: 9:35:01 time: 0.5456 data_time: 0.0269 memory: 31836 grad_norm: 4.3890 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3633 loss: 1.3633 2022/10/14 01:33:11 - mmengine - INFO - Epoch(train) [34][420/940] lr: 1.0000e-02 eta: 9:34:49 time: 0.5477 data_time: 0.0307 memory: 31836 grad_norm: 4.3750 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3512 loss: 1.3512 2022/10/14 01:33:22 - mmengine - INFO - Epoch(train) [34][440/940] lr: 1.0000e-02 eta: 9:34:38 time: 0.5482 data_time: 0.0245 memory: 31836 grad_norm: 4.5666 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3525 loss: 1.3525 2022/10/14 01:33:33 - mmengine - INFO - Epoch(train) [34][460/940] lr: 1.0000e-02 eta: 9:34:28 time: 0.5762 data_time: 0.0305 memory: 31836 grad_norm: 4.5466 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4980 loss: 1.4980 2022/10/14 01:33:44 - mmengine - INFO - Epoch(train) [34][480/940] lr: 1.0000e-02 eta: 9:34:17 time: 0.5559 data_time: 0.0294 memory: 31836 grad_norm: 4.4203 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3855 loss: 1.3855 2022/10/14 01:33:55 - mmengine - INFO - Epoch(train) [34][500/940] lr: 1.0000e-02 eta: 9:34:06 time: 0.5489 data_time: 0.0288 memory: 31836 grad_norm: 4.4050 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3706 loss: 1.3706 2022/10/14 01:34:06 - mmengine - INFO - Epoch(train) [34][520/940] lr: 1.0000e-02 eta: 9:33:55 time: 0.5474 data_time: 0.0256 memory: 31836 grad_norm: 4.4541 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3198 loss: 1.3198 2022/10/14 01:34:17 - mmengine - INFO - Epoch(train) [34][540/940] lr: 1.0000e-02 eta: 9:33:44 time: 0.5463 data_time: 0.0283 memory: 31836 grad_norm: 4.4398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3932 loss: 1.3932 2022/10/14 01:34:28 - mmengine - INFO - Epoch(train) [34][560/940] lr: 1.0000e-02 eta: 9:33:33 time: 0.5609 data_time: 0.0341 memory: 31836 grad_norm: 4.3111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3094 loss: 1.3094 2022/10/14 01:34:39 - mmengine - INFO - Epoch(train) [34][580/940] lr: 1.0000e-02 eta: 9:33:22 time: 0.5524 data_time: 0.0297 memory: 31836 grad_norm: 4.4016 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.3725 loss: 1.3725 2022/10/14 01:34:51 - mmengine - INFO - Epoch(train) [34][600/940] lr: 1.0000e-02 eta: 9:33:11 time: 0.5514 data_time: 0.0296 memory: 31836 grad_norm: 4.5266 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3672 loss: 1.3672 2022/10/14 01:35:01 - mmengine - INFO - Epoch(train) [34][620/940] lr: 1.0000e-02 eta: 9:33:00 time: 0.5483 data_time: 0.0284 memory: 31836 grad_norm: 4.4418 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3867 loss: 1.3867 2022/10/14 01:35:12 - mmengine - INFO - Epoch(train) [34][640/940] lr: 1.0000e-02 eta: 9:32:49 time: 0.5434 data_time: 0.0273 memory: 31836 grad_norm: 4.5169 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3971 loss: 1.3971 2022/10/14 01:35:23 - mmengine - INFO - Epoch(train) [34][660/940] lr: 1.0000e-02 eta: 9:32:38 time: 0.5491 data_time: 0.0277 memory: 31836 grad_norm: 4.4932 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4465 loss: 1.4465 2022/10/14 01:35:34 - mmengine - INFO - Epoch(train) [34][680/940] lr: 1.0000e-02 eta: 9:32:26 time: 0.5396 data_time: 0.0263 memory: 31836 grad_norm: 4.4510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4536 loss: 1.4536 2022/10/14 01:35:45 - mmengine - INFO - Epoch(train) [34][700/940] lr: 1.0000e-02 eta: 9:32:15 time: 0.5508 data_time: 0.0317 memory: 31836 grad_norm: 4.4451 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5593 loss: 1.5593 2022/10/14 01:35:56 - mmengine - INFO - Epoch(train) [34][720/940] lr: 1.0000e-02 eta: 9:32:04 time: 0.5490 data_time: 0.0300 memory: 31836 grad_norm: 4.4854 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4402 loss: 1.4402 2022/10/14 01:36:07 - mmengine - INFO - Epoch(train) [34][740/940] lr: 1.0000e-02 eta: 9:31:53 time: 0.5423 data_time: 0.0232 memory: 31836 grad_norm: 4.4392 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5187 loss: 1.5187 2022/10/14 01:36:18 - mmengine - INFO - Epoch(train) [34][760/940] lr: 1.0000e-02 eta: 9:31:42 time: 0.5524 data_time: 0.0238 memory: 31836 grad_norm: 4.3984 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.4124 loss: 1.4124 2022/10/14 01:36:29 - mmengine - INFO - Epoch(train) [34][780/940] lr: 1.0000e-02 eta: 9:31:30 time: 0.5510 data_time: 0.0302 memory: 31836 grad_norm: 4.4689 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4026 loss: 1.4026 2022/10/14 01:36:40 - mmengine - INFO - Epoch(train) [34][800/940] lr: 1.0000e-02 eta: 9:31:19 time: 0.5486 data_time: 0.0301 memory: 31836 grad_norm: 4.4595 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4086 loss: 1.4086 2022/10/14 01:36:51 - mmengine - INFO - Epoch(train) [34][820/940] lr: 1.0000e-02 eta: 9:31:08 time: 0.5468 data_time: 0.0367 memory: 31836 grad_norm: 4.5194 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5397 loss: 1.5397 2022/10/14 01:37:02 - mmengine - INFO - Epoch(train) [34][840/940] lr: 1.0000e-02 eta: 9:30:57 time: 0.5515 data_time: 0.0274 memory: 31836 grad_norm: 4.4373 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5245 loss: 1.5245 2022/10/14 01:37:13 - mmengine - INFO - Epoch(train) [34][860/940] lr: 1.0000e-02 eta: 9:30:46 time: 0.5476 data_time: 0.0255 memory: 31836 grad_norm: 4.5033 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/10/14 01:37:24 - mmengine - INFO - Epoch(train) [34][880/940] lr: 1.0000e-02 eta: 9:30:35 time: 0.5406 data_time: 0.0260 memory: 31836 grad_norm: 4.4922 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3867 loss: 1.3867 2022/10/14 01:37:35 - mmengine - INFO - Epoch(train) [34][900/940] lr: 1.0000e-02 eta: 9:30:24 time: 0.5563 data_time: 0.0317 memory: 31836 grad_norm: 4.4697 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3735 loss: 1.3735 2022/10/14 01:37:46 - mmengine - INFO - Epoch(train) [34][920/940] lr: 1.0000e-02 eta: 9:30:12 time: 0.5420 data_time: 0.0240 memory: 31836 grad_norm: 4.4046 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.5722 loss: 1.5722 2022/10/14 01:37:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:37:56 - mmengine - INFO - Epoch(train) [34][940/940] lr: 1.0000e-02 eta: 9:30:00 time: 0.5148 data_time: 0.0228 memory: 31836 grad_norm: 4.6782 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4623 loss: 1.4623 2022/10/14 01:38:09 - mmengine - INFO - Epoch(val) [34][20/78] eta: 0:00:37 time: 0.6514 data_time: 0.5011 memory: 3561 2022/10/14 01:38:17 - mmengine - INFO - Epoch(val) [34][40/78] eta: 0:00:16 time: 0.4221 data_time: 0.2723 memory: 3561 2022/10/14 01:38:29 - mmengine - INFO - Epoch(val) [34][60/78] eta: 0:00:10 time: 0.5664 data_time: 0.4163 memory: 3561 2022/10/14 01:38:40 - mmengine - INFO - Epoch(val) [34][78/78] acc/top1: 0.6607 acc/top5: 0.8653 acc/mean1: 0.6606 2022/10/14 01:38:56 - mmengine - INFO - Epoch(train) [35][20/940] lr: 1.0000e-02 eta: 9:29:59 time: 0.8101 data_time: 0.1939 memory: 31836 grad_norm: 4.4937 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3222 loss: 1.3222 2022/10/14 01:39:07 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:39:07 - mmengine - INFO - Epoch(train) [35][40/940] lr: 1.0000e-02 eta: 9:29:48 time: 0.5544 data_time: 0.0290 memory: 31836 grad_norm: 4.4934 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4475 loss: 1.4475 2022/10/14 01:39:18 - mmengine - INFO - Epoch(train) [35][60/940] lr: 1.0000e-02 eta: 9:29:37 time: 0.5503 data_time: 0.0281 memory: 31836 grad_norm: 4.3915 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3545 loss: 1.3545 2022/10/14 01:39:29 - mmengine - INFO - Epoch(train) [35][80/940] lr: 1.0000e-02 eta: 9:29:26 time: 0.5498 data_time: 0.0278 memory: 31836 grad_norm: 4.4943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1759 loss: 1.1759 2022/10/14 01:39:40 - mmengine - INFO - Epoch(train) [35][100/940] lr: 1.0000e-02 eta: 9:29:15 time: 0.5515 data_time: 0.0286 memory: 31836 grad_norm: 4.5099 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3441 loss: 1.3441 2022/10/14 01:39:51 - mmengine - INFO - Epoch(train) [35][120/940] lr: 1.0000e-02 eta: 9:29:04 time: 0.5460 data_time: 0.0263 memory: 31836 grad_norm: 4.3240 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3276 loss: 1.3276 2022/10/14 01:40:02 - mmengine - INFO - Epoch(train) [35][140/940] lr: 1.0000e-02 eta: 9:28:52 time: 0.5502 data_time: 0.0283 memory: 31836 grad_norm: 4.4721 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.3204 loss: 1.3204 2022/10/14 01:40:13 - mmengine - INFO - Epoch(train) [35][160/940] lr: 1.0000e-02 eta: 9:28:42 time: 0.5547 data_time: 0.0281 memory: 31836 grad_norm: 4.4389 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 1.4797 loss: 1.4797 2022/10/14 01:40:24 - mmengine - INFO - Epoch(train) [35][180/940] lr: 1.0000e-02 eta: 9:28:30 time: 0.5454 data_time: 0.0234 memory: 31836 grad_norm: 4.5170 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/10/14 01:40:35 - mmengine - INFO - Epoch(train) [35][200/940] lr: 1.0000e-02 eta: 9:28:19 time: 0.5421 data_time: 0.0294 memory: 31836 grad_norm: 4.4432 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3978 loss: 1.3978 2022/10/14 01:40:46 - mmengine - INFO - Epoch(train) [35][220/940] lr: 1.0000e-02 eta: 9:28:07 time: 0.5371 data_time: 0.0278 memory: 31836 grad_norm: 4.3649 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2372 loss: 1.2372 2022/10/14 01:40:57 - mmengine - INFO - Epoch(train) [35][240/940] lr: 1.0000e-02 eta: 9:27:56 time: 0.5393 data_time: 0.0293 memory: 31836 grad_norm: 4.4346 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.4164 loss: 1.4164 2022/10/14 01:41:07 - mmengine - INFO - Epoch(train) [35][260/940] lr: 1.0000e-02 eta: 9:27:44 time: 0.5433 data_time: 0.0288 memory: 31836 grad_norm: 4.4974 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3941 loss: 1.3941 2022/10/14 01:41:20 - mmengine - INFO - Epoch(train) [35][280/940] lr: 1.0000e-02 eta: 9:27:36 time: 0.6135 data_time: 0.0237 memory: 31836 grad_norm: 4.4382 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2320 loss: 1.2320 2022/10/14 01:41:31 - mmengine - INFO - Epoch(train) [35][300/940] lr: 1.0000e-02 eta: 9:27:25 time: 0.5546 data_time: 0.0306 memory: 31836 grad_norm: 4.5945 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5226 loss: 1.5226 2022/10/14 01:41:42 - mmengine - INFO - Epoch(train) [35][320/940] lr: 1.0000e-02 eta: 9:27:14 time: 0.5408 data_time: 0.0253 memory: 31836 grad_norm: 4.4655 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3324 loss: 1.3324 2022/10/14 01:41:53 - mmengine - INFO - Epoch(train) [35][340/940] lr: 1.0000e-02 eta: 9:27:02 time: 0.5442 data_time: 0.0271 memory: 31836 grad_norm: 4.3952 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5026 loss: 1.5026 2022/10/14 01:42:04 - mmengine - INFO - Epoch(train) [35][360/940] lr: 1.0000e-02 eta: 9:26:51 time: 0.5499 data_time: 0.0307 memory: 31836 grad_norm: 4.5278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4472 loss: 1.4472 2022/10/14 01:42:15 - mmengine - INFO - Epoch(train) [35][380/940] lr: 1.0000e-02 eta: 9:26:40 time: 0.5489 data_time: 0.0278 memory: 31836 grad_norm: 4.5571 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3554 loss: 1.3554 2022/10/14 01:42:26 - mmengine - INFO - Epoch(train) [35][400/940] lr: 1.0000e-02 eta: 9:26:29 time: 0.5535 data_time: 0.0298 memory: 31836 grad_norm: 4.5099 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3449 loss: 1.3449 2022/10/14 01:42:37 - mmengine - INFO - Epoch(train) [35][420/940] lr: 1.0000e-02 eta: 9:26:18 time: 0.5522 data_time: 0.0343 memory: 31836 grad_norm: 4.5375 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3900 loss: 1.3900 2022/10/14 01:42:48 - mmengine - INFO - Epoch(train) [35][440/940] lr: 1.0000e-02 eta: 9:26:07 time: 0.5455 data_time: 0.0245 memory: 31836 grad_norm: 4.4657 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3670 loss: 1.3670 2022/10/14 01:42:58 - mmengine - INFO - Epoch(train) [35][460/940] lr: 1.0000e-02 eta: 9:25:55 time: 0.5435 data_time: 0.0302 memory: 31836 grad_norm: 4.5627 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4317 loss: 1.4317 2022/10/14 01:43:09 - mmengine - INFO - Epoch(train) [35][480/940] lr: 1.0000e-02 eta: 9:25:44 time: 0.5471 data_time: 0.0279 memory: 31836 grad_norm: 4.5064 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4763 loss: 1.4763 2022/10/14 01:43:20 - mmengine - INFO - Epoch(train) [35][500/940] lr: 1.0000e-02 eta: 9:25:33 time: 0.5501 data_time: 0.0283 memory: 31836 grad_norm: 4.4650 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/10/14 01:43:31 - mmengine - INFO - Epoch(train) [35][520/940] lr: 1.0000e-02 eta: 9:25:22 time: 0.5491 data_time: 0.0320 memory: 31836 grad_norm: 4.5861 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4202 loss: 1.4202 2022/10/14 01:43:42 - mmengine - INFO - Epoch(train) [35][540/940] lr: 1.0000e-02 eta: 9:25:11 time: 0.5511 data_time: 0.0280 memory: 31836 grad_norm: 4.4534 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3450 loss: 1.3450 2022/10/14 01:43:53 - mmengine - INFO - Epoch(train) [35][560/940] lr: 1.0000e-02 eta: 9:25:00 time: 0.5441 data_time: 0.0286 memory: 31836 grad_norm: 4.5476 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3547 loss: 1.3547 2022/10/14 01:44:04 - mmengine - INFO - Epoch(train) [35][580/940] lr: 1.0000e-02 eta: 9:24:48 time: 0.5457 data_time: 0.0243 memory: 31836 grad_norm: 4.3860 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3099 loss: 1.3099 2022/10/14 01:44:15 - mmengine - INFO - Epoch(train) [35][600/940] lr: 1.0000e-02 eta: 9:24:37 time: 0.5384 data_time: 0.0254 memory: 31836 grad_norm: 4.5228 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3177 loss: 1.3177 2022/10/14 01:44:26 - mmengine - INFO - Epoch(train) [35][620/940] lr: 1.0000e-02 eta: 9:24:25 time: 0.5367 data_time: 0.0269 memory: 31836 grad_norm: 4.4812 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3409 loss: 1.3409 2022/10/14 01:44:37 - mmengine - INFO - Epoch(train) [35][640/940] lr: 1.0000e-02 eta: 9:24:14 time: 0.5471 data_time: 0.0327 memory: 31836 grad_norm: 4.5033 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5069 loss: 1.5069 2022/10/14 01:44:48 - mmengine - INFO - Epoch(train) [35][660/940] lr: 1.0000e-02 eta: 9:24:03 time: 0.5480 data_time: 0.0263 memory: 31836 grad_norm: 4.5086 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.2735 loss: 1.2735 2022/10/14 01:44:58 - mmengine - INFO - Epoch(train) [35][680/940] lr: 1.0000e-02 eta: 9:23:52 time: 0.5437 data_time: 0.0264 memory: 31836 grad_norm: 4.5261 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2931 loss: 1.2931 2022/10/14 01:45:09 - mmengine - INFO - Epoch(train) [35][700/940] lr: 1.0000e-02 eta: 9:23:40 time: 0.5411 data_time: 0.0242 memory: 31836 grad_norm: 4.4944 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5068 loss: 1.5068 2022/10/14 01:45:20 - mmengine - INFO - Epoch(train) [35][720/940] lr: 1.0000e-02 eta: 9:23:29 time: 0.5392 data_time: 0.0260 memory: 31836 grad_norm: 4.4016 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3435 loss: 1.3435 2022/10/14 01:45:31 - mmengine - INFO - Epoch(train) [35][740/940] lr: 1.0000e-02 eta: 9:23:18 time: 0.5435 data_time: 0.0265 memory: 31836 grad_norm: 4.5222 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3651 loss: 1.3651 2022/10/14 01:45:42 - mmengine - INFO - Epoch(train) [35][760/940] lr: 1.0000e-02 eta: 9:23:06 time: 0.5490 data_time: 0.0323 memory: 31836 grad_norm: 4.5630 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3347 loss: 1.3347 2022/10/14 01:45:53 - mmengine - INFO - Epoch(train) [35][780/940] lr: 1.0000e-02 eta: 9:22:55 time: 0.5468 data_time: 0.0309 memory: 31836 grad_norm: 4.4757 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/10/14 01:46:04 - mmengine - INFO - Epoch(train) [35][800/940] lr: 1.0000e-02 eta: 9:22:44 time: 0.5458 data_time: 0.0256 memory: 31836 grad_norm: 4.5521 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3411 loss: 1.3411 2022/10/14 01:46:15 - mmengine - INFO - Epoch(train) [35][820/940] lr: 1.0000e-02 eta: 9:22:33 time: 0.5498 data_time: 0.0269 memory: 31836 grad_norm: 4.6039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3776 loss: 1.3776 2022/10/14 01:46:26 - mmengine - INFO - Epoch(train) [35][840/940] lr: 1.0000e-02 eta: 9:22:22 time: 0.5438 data_time: 0.0300 memory: 31836 grad_norm: 4.6275 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4131 loss: 1.4131 2022/10/14 01:46:37 - mmengine - INFO - Epoch(train) [35][860/940] lr: 1.0000e-02 eta: 9:22:10 time: 0.5439 data_time: 0.0250 memory: 31836 grad_norm: 4.5250 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4037 loss: 1.4037 2022/10/14 01:46:47 - mmengine - INFO - Epoch(train) [35][880/940] lr: 1.0000e-02 eta: 9:21:59 time: 0.5481 data_time: 0.0277 memory: 31836 grad_norm: 4.4905 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3487 loss: 1.3487 2022/10/14 01:46:58 - mmengine - INFO - Epoch(train) [35][900/940] lr: 1.0000e-02 eta: 9:21:48 time: 0.5434 data_time: 0.0310 memory: 31836 grad_norm: 4.4433 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3886 loss: 1.3886 2022/10/14 01:47:09 - mmengine - INFO - Epoch(train) [35][920/940] lr: 1.0000e-02 eta: 9:21:36 time: 0.5421 data_time: 0.0244 memory: 31836 grad_norm: 4.6084 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4169 loss: 1.4169 2022/10/14 01:47:20 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:47:20 - mmengine - INFO - Epoch(train) [35][940/940] lr: 1.0000e-02 eta: 9:21:24 time: 0.5170 data_time: 0.0258 memory: 31836 grad_norm: 4.8318 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4695 loss: 1.4695 2022/10/14 01:47:37 - mmengine - INFO - Epoch(val) [35][20/78] eta: 0:00:49 time: 0.8613 data_time: 0.7119 memory: 3561 2022/10/14 01:47:47 - mmengine - INFO - Epoch(val) [35][40/78] eta: 0:00:18 time: 0.4955 data_time: 0.3468 memory: 3561 2022/10/14 01:47:57 - mmengine - INFO - Epoch(val) [35][60/78] eta: 0:00:09 time: 0.5287 data_time: 0.3803 memory: 3561 2022/10/14 01:48:13 - mmengine - INFO - Epoch(val) [35][78/78] acc/top1: 0.6519 acc/top5: 0.8584 acc/mean1: 0.6517 2022/10/14 01:48:28 - mmengine - INFO - Epoch(train) [36][20/940] lr: 1.0000e-02 eta: 9:21:21 time: 0.7647 data_time: 0.2424 memory: 31836 grad_norm: 4.4570 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3927 loss: 1.3927 2022/10/14 01:48:39 - mmengine - INFO - Epoch(train) [36][40/940] lr: 1.0000e-02 eta: 9:21:10 time: 0.5589 data_time: 0.0224 memory: 31836 grad_norm: 4.4269 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3310 loss: 1.3310 2022/10/14 01:48:50 - mmengine - INFO - Epoch(train) [36][60/940] lr: 1.0000e-02 eta: 9:20:59 time: 0.5551 data_time: 0.0301 memory: 31836 grad_norm: 4.4497 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3202 loss: 1.3202 2022/10/14 01:49:01 - mmengine - INFO - Epoch(train) [36][80/940] lr: 1.0000e-02 eta: 9:20:48 time: 0.5543 data_time: 0.0267 memory: 31836 grad_norm: 4.5750 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2847 loss: 1.2847 2022/10/14 01:49:12 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:49:12 - mmengine - INFO - Epoch(train) [36][100/940] lr: 1.0000e-02 eta: 9:20:37 time: 0.5484 data_time: 0.0279 memory: 31836 grad_norm: 4.4420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4672 loss: 1.4672 2022/10/14 01:49:24 - mmengine - INFO - Epoch(train) [36][120/940] lr: 1.0000e-02 eta: 9:20:27 time: 0.5734 data_time: 0.0269 memory: 31836 grad_norm: 4.4353 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2786 loss: 1.2786 2022/10/14 01:49:35 - mmengine - INFO - Epoch(train) [36][140/940] lr: 1.0000e-02 eta: 9:20:17 time: 0.5835 data_time: 0.0268 memory: 31836 grad_norm: 4.4466 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3670 loss: 1.3670 2022/10/14 01:49:47 - mmengine - INFO - Epoch(train) [36][160/940] lr: 1.0000e-02 eta: 9:20:07 time: 0.5621 data_time: 0.0355 memory: 31836 grad_norm: 4.3989 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3453 loss: 1.3453 2022/10/14 01:49:58 - mmengine - INFO - Epoch(train) [36][180/940] lr: 1.0000e-02 eta: 9:19:56 time: 0.5762 data_time: 0.0253 memory: 31836 grad_norm: 4.5133 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.3085 loss: 1.3085 2022/10/14 01:50:09 - mmengine - INFO - Epoch(train) [36][200/940] lr: 1.0000e-02 eta: 9:19:45 time: 0.5404 data_time: 0.0297 memory: 31836 grad_norm: 4.3746 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2184 loss: 1.2184 2022/10/14 01:50:20 - mmengine - INFO - Epoch(train) [36][220/940] lr: 1.0000e-02 eta: 9:19:34 time: 0.5490 data_time: 0.0255 memory: 31836 grad_norm: 4.5174 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.3111 loss: 1.3111 2022/10/14 01:50:32 - mmengine - INFO - Epoch(train) [36][240/940] lr: 1.0000e-02 eta: 9:19:24 time: 0.5884 data_time: 0.0237 memory: 31836 grad_norm: 4.6148 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3908 loss: 1.3908 2022/10/14 01:50:46 - mmengine - INFO - Epoch(train) [36][260/940] lr: 1.0000e-02 eta: 9:19:20 time: 0.7237 data_time: 0.2002 memory: 31836 grad_norm: 4.4493 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3953 loss: 1.3953 2022/10/14 01:50:57 - mmengine - INFO - Epoch(train) [36][280/940] lr: 1.0000e-02 eta: 9:19:08 time: 0.5453 data_time: 0.0229 memory: 31836 grad_norm: 4.5710 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4130 loss: 1.4130 2022/10/14 01:51:09 - mmengine - INFO - Epoch(train) [36][300/940] lr: 1.0000e-02 eta: 9:18:59 time: 0.5933 data_time: 0.0266 memory: 31836 grad_norm: 4.4646 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3231 loss: 1.3231 2022/10/14 01:51:39 - mmengine - INFO - Epoch(train) [36][320/940] lr: 1.0000e-02 eta: 9:19:22 time: 1.4994 data_time: 0.0280 memory: 31836 grad_norm: 4.5048 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3308 loss: 1.3308 2022/10/14 01:51:50 - mmengine - INFO - Epoch(train) [36][340/940] lr: 1.0000e-02 eta: 9:19:11 time: 0.5478 data_time: 0.0264 memory: 31836 grad_norm: 4.5702 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3115 loss: 1.3115 2022/10/14 01:52:01 - mmengine - INFO - Epoch(train) [36][360/940] lr: 1.0000e-02 eta: 9:19:00 time: 0.5491 data_time: 0.0242 memory: 31836 grad_norm: 4.3946 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2745 loss: 1.2745 2022/10/14 01:52:12 - mmengine - INFO - Epoch(train) [36][380/940] lr: 1.0000e-02 eta: 9:18:49 time: 0.5533 data_time: 0.0291 memory: 31836 grad_norm: 4.5663 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3481 loss: 1.3481 2022/10/14 01:52:23 - mmengine - INFO - Epoch(train) [36][400/940] lr: 1.0000e-02 eta: 9:18:38 time: 0.5476 data_time: 0.0253 memory: 31836 grad_norm: 4.5022 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3143 loss: 1.3143 2022/10/14 01:52:34 - mmengine - INFO - Epoch(train) [36][420/940] lr: 1.0000e-02 eta: 9:18:27 time: 0.5543 data_time: 0.0235 memory: 31836 grad_norm: 4.5002 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4042 loss: 1.4042 2022/10/14 01:52:45 - mmengine - INFO - Epoch(train) [36][440/940] lr: 1.0000e-02 eta: 9:18:16 time: 0.5437 data_time: 0.0273 memory: 31836 grad_norm: 4.6097 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4597 loss: 1.4597 2022/10/14 01:52:56 - mmengine - INFO - Epoch(train) [36][460/940] lr: 1.0000e-02 eta: 9:18:04 time: 0.5466 data_time: 0.0262 memory: 31836 grad_norm: 4.4821 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4645 loss: 1.4645 2022/10/14 01:53:07 - mmengine - INFO - Epoch(train) [36][480/940] lr: 1.0000e-02 eta: 9:17:53 time: 0.5477 data_time: 0.0229 memory: 31836 grad_norm: 4.4641 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3506 loss: 1.3506 2022/10/14 01:53:18 - mmengine - INFO - Epoch(train) [36][500/940] lr: 1.0000e-02 eta: 9:17:42 time: 0.5554 data_time: 0.0260 memory: 31836 grad_norm: 4.5414 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2550 loss: 1.2550 2022/10/14 01:53:29 - mmengine - INFO - Epoch(train) [36][520/940] lr: 1.0000e-02 eta: 9:17:31 time: 0.5434 data_time: 0.0284 memory: 31836 grad_norm: 4.5821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2919 loss: 1.2919 2022/10/14 01:53:40 - mmengine - INFO - Epoch(train) [36][540/940] lr: 1.0000e-02 eta: 9:17:19 time: 0.5435 data_time: 0.0233 memory: 31836 grad_norm: 4.4763 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.3785 loss: 1.3785 2022/10/14 01:53:51 - mmengine - INFO - Epoch(train) [36][560/940] lr: 1.0000e-02 eta: 9:17:09 time: 0.5704 data_time: 0.0239 memory: 31836 grad_norm: 4.5564 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3878 loss: 1.3878 2022/10/14 01:54:02 - mmengine - INFO - Epoch(train) [36][580/940] lr: 1.0000e-02 eta: 9:16:58 time: 0.5507 data_time: 0.0250 memory: 31836 grad_norm: 4.5826 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3556 loss: 1.3556 2022/10/14 01:54:13 - mmengine - INFO - Epoch(train) [36][600/940] lr: 1.0000e-02 eta: 9:16:47 time: 0.5540 data_time: 0.0284 memory: 31836 grad_norm: 4.6243 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4662 loss: 1.4662 2022/10/14 01:54:24 - mmengine - INFO - Epoch(train) [36][620/940] lr: 1.0000e-02 eta: 9:16:35 time: 0.5406 data_time: 0.0243 memory: 31836 grad_norm: 4.4968 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3758 loss: 1.3758 2022/10/14 01:54:35 - mmengine - INFO - Epoch(train) [36][640/940] lr: 1.0000e-02 eta: 9:16:24 time: 0.5508 data_time: 0.0273 memory: 31836 grad_norm: 4.4825 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3915 loss: 1.3915 2022/10/14 01:54:46 - mmengine - INFO - Epoch(train) [36][660/940] lr: 1.0000e-02 eta: 9:16:13 time: 0.5502 data_time: 0.0330 memory: 31836 grad_norm: 4.4527 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2532 loss: 1.2532 2022/10/14 01:54:57 - mmengine - INFO - Epoch(train) [36][680/940] lr: 1.0000e-02 eta: 9:16:02 time: 0.5434 data_time: 0.0308 memory: 31836 grad_norm: 4.5405 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3952 loss: 1.3952 2022/10/14 01:55:08 - mmengine - INFO - Epoch(train) [36][700/940] lr: 1.0000e-02 eta: 9:15:51 time: 0.5518 data_time: 0.0267 memory: 31836 grad_norm: 4.6110 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/10/14 01:55:19 - mmengine - INFO - Epoch(train) [36][720/940] lr: 1.0000e-02 eta: 9:15:39 time: 0.5409 data_time: 0.0230 memory: 31836 grad_norm: 4.4953 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.4272 loss: 1.4272 2022/10/14 01:55:30 - mmengine - INFO - Epoch(train) [36][740/940] lr: 1.0000e-02 eta: 9:15:28 time: 0.5386 data_time: 0.0256 memory: 31836 grad_norm: 4.6094 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5392 loss: 1.5392 2022/10/14 01:55:41 - mmengine - INFO - Epoch(train) [36][760/940] lr: 1.0000e-02 eta: 9:15:17 time: 0.5507 data_time: 0.0394 memory: 31836 grad_norm: 4.4762 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3800 loss: 1.3800 2022/10/14 01:55:52 - mmengine - INFO - Epoch(train) [36][780/940] lr: 1.0000e-02 eta: 9:15:06 time: 0.5512 data_time: 0.0291 memory: 31836 grad_norm: 4.4990 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3267 loss: 1.3267 2022/10/14 01:56:03 - mmengine - INFO - Epoch(train) [36][800/940] lr: 1.0000e-02 eta: 9:14:54 time: 0.5445 data_time: 0.0239 memory: 31836 grad_norm: 4.5471 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5088 loss: 1.5088 2022/10/14 01:56:13 - mmengine - INFO - Epoch(train) [36][820/940] lr: 1.0000e-02 eta: 9:14:43 time: 0.5441 data_time: 0.0311 memory: 31836 grad_norm: 4.4835 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4863 loss: 1.4863 2022/10/14 01:56:24 - mmengine - INFO - Epoch(train) [36][840/940] lr: 1.0000e-02 eta: 9:14:32 time: 0.5461 data_time: 0.0259 memory: 31836 grad_norm: 4.5082 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4367 loss: 1.4367 2022/10/14 01:56:35 - mmengine - INFO - Epoch(train) [36][860/940] lr: 1.0000e-02 eta: 9:14:21 time: 0.5516 data_time: 0.0323 memory: 31836 grad_norm: 4.5286 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5763 loss: 1.5763 2022/10/14 01:56:46 - mmengine - INFO - Epoch(train) [36][880/940] lr: 1.0000e-02 eta: 9:14:10 time: 0.5468 data_time: 0.0277 memory: 31836 grad_norm: 4.4167 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3583 loss: 1.3583 2022/10/14 01:56:57 - mmengine - INFO - Epoch(train) [36][900/940] lr: 1.0000e-02 eta: 9:13:58 time: 0.5485 data_time: 0.0286 memory: 31836 grad_norm: 4.5757 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4096 loss: 1.4096 2022/10/14 01:57:08 - mmengine - INFO - Epoch(train) [36][920/940] lr: 1.0000e-02 eta: 9:13:47 time: 0.5457 data_time: 0.0291 memory: 31836 grad_norm: 4.5947 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3837 loss: 1.3837 2022/10/14 01:57:19 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:57:19 - mmengine - INFO - Epoch(train) [36][940/940] lr: 1.0000e-02 eta: 9:13:35 time: 0.5198 data_time: 0.0250 memory: 31836 grad_norm: 4.7586 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3572 loss: 1.3572 2022/10/14 01:57:19 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/10/14 01:57:33 - mmengine - INFO - Epoch(val) [36][20/78] eta: 0:00:37 time: 0.6424 data_time: 0.4933 memory: 3561 2022/10/14 01:57:42 - mmengine - INFO - Epoch(val) [36][40/78] eta: 0:00:17 time: 0.4696 data_time: 0.3210 memory: 3561 2022/10/14 01:57:54 - mmengine - INFO - Epoch(val) [36][60/78] eta: 0:00:10 time: 0.5769 data_time: 0.4288 memory: 3561 2022/10/14 01:58:08 - mmengine - INFO - Epoch(val) [36][78/78] acc/top1: 0.6635 acc/top5: 0.8660 acc/mean1: 0.6633 2022/10/14 01:58:23 - mmengine - INFO - Epoch(train) [37][20/940] lr: 1.0000e-02 eta: 9:13:31 time: 0.7593 data_time: 0.2237 memory: 31836 grad_norm: 4.6218 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3805 loss: 1.3805 2022/10/14 01:58:34 - mmengine - INFO - Epoch(train) [37][40/940] lr: 1.0000e-02 eta: 9:13:20 time: 0.5462 data_time: 0.0254 memory: 31836 grad_norm: 4.5399 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3682 loss: 1.3682 2022/10/14 01:58:46 - mmengine - INFO - Epoch(train) [37][60/940] lr: 1.0000e-02 eta: 9:13:10 time: 0.5876 data_time: 0.0360 memory: 31836 grad_norm: 4.3881 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4180 loss: 1.4180 2022/10/14 01:58:57 - mmengine - INFO - Epoch(train) [37][80/940] lr: 1.0000e-02 eta: 9:12:59 time: 0.5459 data_time: 0.0289 memory: 31836 grad_norm: 4.3889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2477 loss: 1.2477 2022/10/14 01:59:08 - mmengine - INFO - Epoch(train) [37][100/940] lr: 1.0000e-02 eta: 9:12:48 time: 0.5554 data_time: 0.0256 memory: 31836 grad_norm: 4.4281 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3579 loss: 1.3579 2022/10/14 01:59:19 - mmengine - INFO - Epoch(train) [37][120/940] lr: 1.0000e-02 eta: 9:12:37 time: 0.5507 data_time: 0.0245 memory: 31836 grad_norm: 4.4579 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.3322 loss: 1.3322 2022/10/14 01:59:30 - mmengine - INFO - Epoch(train) [37][140/940] lr: 1.0000e-02 eta: 9:12:26 time: 0.5493 data_time: 0.0298 memory: 31836 grad_norm: 4.4846 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3989 loss: 1.3989 2022/10/14 01:59:41 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 01:59:41 - mmengine - INFO - Epoch(train) [37][160/940] lr: 1.0000e-02 eta: 9:12:14 time: 0.5423 data_time: 0.0297 memory: 31836 grad_norm: 4.5640 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3747 loss: 1.3747 2022/10/14 01:59:51 - mmengine - INFO - Epoch(train) [37][180/940] lr: 1.0000e-02 eta: 9:12:03 time: 0.5449 data_time: 0.0273 memory: 31836 grad_norm: 4.4340 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2637 loss: 1.2637 2022/10/14 02:00:02 - mmengine - INFO - Epoch(train) [37][200/940] lr: 1.0000e-02 eta: 9:11:52 time: 0.5413 data_time: 0.0292 memory: 31836 grad_norm: 4.5880 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3602 loss: 1.3602 2022/10/14 02:00:13 - mmengine - INFO - Epoch(train) [37][220/940] lr: 1.0000e-02 eta: 9:11:41 time: 0.5567 data_time: 0.0308 memory: 31836 grad_norm: 4.6166 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2900 loss: 1.2900 2022/10/14 02:00:24 - mmengine - INFO - Epoch(train) [37][240/940] lr: 1.0000e-02 eta: 9:11:29 time: 0.5461 data_time: 0.0266 memory: 31836 grad_norm: 4.4793 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2860 loss: 1.2860 2022/10/14 02:00:35 - mmengine - INFO - Epoch(train) [37][260/940] lr: 1.0000e-02 eta: 9:11:18 time: 0.5500 data_time: 0.0389 memory: 31836 grad_norm: 4.4955 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4206 loss: 1.4206 2022/10/14 02:00:46 - mmengine - INFO - Epoch(train) [37][280/940] lr: 1.0000e-02 eta: 9:11:07 time: 0.5488 data_time: 0.0245 memory: 31836 grad_norm: 4.6013 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4536 loss: 1.4536 2022/10/14 02:00:57 - mmengine - INFO - Epoch(train) [37][300/940] lr: 1.0000e-02 eta: 9:10:56 time: 0.5458 data_time: 0.0255 memory: 31836 grad_norm: 4.5510 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3239 loss: 1.3239 2022/10/14 02:01:08 - mmengine - INFO - Epoch(train) [37][320/940] lr: 1.0000e-02 eta: 9:10:44 time: 0.5400 data_time: 0.0288 memory: 31836 grad_norm: 4.5431 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3739 loss: 1.3739 2022/10/14 02:01:20 - mmengine - INFO - Epoch(train) [37][340/940] lr: 1.0000e-02 eta: 9:10:36 time: 0.6165 data_time: 0.0327 memory: 31836 grad_norm: 4.5711 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3849 loss: 1.3849 2022/10/14 02:01:32 - mmengine - INFO - Epoch(train) [37][360/940] lr: 1.0000e-02 eta: 9:10:25 time: 0.5608 data_time: 0.0231 memory: 31836 grad_norm: 4.4626 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2166 loss: 1.2166 2022/10/14 02:01:43 - mmengine - INFO - Epoch(train) [37][380/940] lr: 1.0000e-02 eta: 9:10:14 time: 0.5530 data_time: 0.0296 memory: 31836 grad_norm: 4.6647 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4682 loss: 1.4682 2022/10/14 02:01:54 - mmengine - INFO - Epoch(train) [37][400/940] lr: 1.0000e-02 eta: 9:10:03 time: 0.5513 data_time: 0.0238 memory: 31836 grad_norm: 4.6128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4321 loss: 1.4321 2022/10/14 02:02:05 - mmengine - INFO - Epoch(train) [37][420/940] lr: 1.0000e-02 eta: 9:09:51 time: 0.5424 data_time: 0.0229 memory: 31836 grad_norm: 4.5235 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2459 loss: 1.2459 2022/10/14 02:02:15 - mmengine - INFO - Epoch(train) [37][440/940] lr: 1.0000e-02 eta: 9:09:40 time: 0.5461 data_time: 0.0358 memory: 31836 grad_norm: 4.4986 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3963 loss: 1.3963 2022/10/14 02:02:26 - mmengine - INFO - Epoch(train) [37][460/940] lr: 1.0000e-02 eta: 9:09:29 time: 0.5517 data_time: 0.0270 memory: 31836 grad_norm: 4.5353 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4378 loss: 1.4378 2022/10/14 02:02:37 - mmengine - INFO - Epoch(train) [37][480/940] lr: 1.0000e-02 eta: 9:09:18 time: 0.5462 data_time: 0.0292 memory: 31836 grad_norm: 4.5472 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3704 loss: 1.3704 2022/10/14 02:02:48 - mmengine - INFO - Epoch(train) [37][500/940] lr: 1.0000e-02 eta: 9:09:06 time: 0.5449 data_time: 0.0249 memory: 31836 grad_norm: 4.4679 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3649 loss: 1.3649 2022/10/14 02:02:59 - mmengine - INFO - Epoch(train) [37][520/940] lr: 1.0000e-02 eta: 9:08:55 time: 0.5473 data_time: 0.0306 memory: 31836 grad_norm: 4.5280 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4207 loss: 1.4207 2022/10/14 02:03:10 - mmengine - INFO - Epoch(train) [37][540/940] lr: 1.0000e-02 eta: 9:08:44 time: 0.5393 data_time: 0.0269 memory: 31836 grad_norm: 4.5349 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4602 loss: 1.4602 2022/10/14 02:03:21 - mmengine - INFO - Epoch(train) [37][560/940] lr: 1.0000e-02 eta: 9:08:33 time: 0.5576 data_time: 0.0283 memory: 31836 grad_norm: 4.6403 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5618 loss: 1.5618 2022/10/14 02:03:32 - mmengine - INFO - Epoch(train) [37][580/940] lr: 1.0000e-02 eta: 9:08:22 time: 0.5472 data_time: 0.0312 memory: 31836 grad_norm: 4.4871 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3336 loss: 1.3336 2022/10/14 02:03:43 - mmengine - INFO - Epoch(train) [37][600/940] lr: 1.0000e-02 eta: 9:08:10 time: 0.5455 data_time: 0.0272 memory: 31836 grad_norm: 4.4770 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4291 loss: 1.4291 2022/10/14 02:03:54 - mmengine - INFO - Epoch(train) [37][620/940] lr: 1.0000e-02 eta: 9:07:59 time: 0.5393 data_time: 0.0245 memory: 31836 grad_norm: 4.4891 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3472 loss: 1.3472 2022/10/14 02:04:05 - mmengine - INFO - Epoch(train) [37][640/940] lr: 1.0000e-02 eta: 9:07:48 time: 0.5482 data_time: 0.0319 memory: 31836 grad_norm: 4.7234 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4857 loss: 1.4857 2022/10/14 02:04:16 - mmengine - INFO - Epoch(train) [37][660/940] lr: 1.0000e-02 eta: 9:07:37 time: 0.5469 data_time: 0.0229 memory: 31836 grad_norm: 4.5917 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3642 loss: 1.3642 2022/10/14 02:04:27 - mmengine - INFO - Epoch(train) [37][680/940] lr: 1.0000e-02 eta: 9:07:26 time: 0.5534 data_time: 0.0276 memory: 31836 grad_norm: 4.5351 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3269 loss: 1.3269 2022/10/14 02:04:38 - mmengine - INFO - Epoch(train) [37][700/940] lr: 1.0000e-02 eta: 9:07:14 time: 0.5519 data_time: 0.0337 memory: 31836 grad_norm: 4.6142 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2726 loss: 1.2726 2022/10/14 02:04:49 - mmengine - INFO - Epoch(train) [37][720/940] lr: 1.0000e-02 eta: 9:07:03 time: 0.5467 data_time: 0.0245 memory: 31836 grad_norm: 4.5716 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3265 loss: 1.3265 2022/10/14 02:05:00 - mmengine - INFO - Epoch(train) [37][740/940] lr: 1.0000e-02 eta: 9:06:52 time: 0.5418 data_time: 0.0266 memory: 31836 grad_norm: 4.4848 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3820 loss: 1.3820 2022/10/14 02:05:11 - mmengine - INFO - Epoch(train) [37][760/940] lr: 1.0000e-02 eta: 9:06:41 time: 0.5450 data_time: 0.0308 memory: 31836 grad_norm: 4.5777 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3666 loss: 1.3666 2022/10/14 02:05:21 - mmengine - INFO - Epoch(train) [37][780/940] lr: 1.0000e-02 eta: 9:06:29 time: 0.5403 data_time: 0.0250 memory: 31836 grad_norm: 4.5012 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.4454 loss: 1.4454 2022/10/14 02:05:32 - mmengine - INFO - Epoch(train) [37][800/940] lr: 1.0000e-02 eta: 9:06:18 time: 0.5538 data_time: 0.0245 memory: 31836 grad_norm: 4.5258 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/10/14 02:05:43 - mmengine - INFO - Epoch(train) [37][820/940] lr: 1.0000e-02 eta: 9:06:07 time: 0.5437 data_time: 0.0342 memory: 31836 grad_norm: 4.5652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/10/14 02:05:54 - mmengine - INFO - Epoch(train) [37][840/940] lr: 1.0000e-02 eta: 9:05:55 time: 0.5455 data_time: 0.0253 memory: 31836 grad_norm: 4.5335 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4490 loss: 1.4490 2022/10/14 02:06:05 - mmengine - INFO - Epoch(train) [37][860/940] lr: 1.0000e-02 eta: 9:05:44 time: 0.5517 data_time: 0.0251 memory: 31836 grad_norm: 4.5437 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2659 loss: 1.2659 2022/10/14 02:06:16 - mmengine - INFO - Epoch(train) [37][880/940] lr: 1.0000e-02 eta: 9:05:33 time: 0.5481 data_time: 0.0250 memory: 31836 grad_norm: 4.5789 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2440 loss: 1.2440 2022/10/14 02:06:27 - mmengine - INFO - Epoch(train) [37][900/940] lr: 1.0000e-02 eta: 9:05:22 time: 0.5460 data_time: 0.0234 memory: 31836 grad_norm: 4.5702 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/10/14 02:06:38 - mmengine - INFO - Epoch(train) [37][920/940] lr: 1.0000e-02 eta: 9:05:11 time: 0.5531 data_time: 0.0325 memory: 31836 grad_norm: 4.5213 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4872 loss: 1.4872 2022/10/14 02:06:48 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:06:48 - mmengine - INFO - Epoch(train) [37][940/940] lr: 1.0000e-02 eta: 9:04:59 time: 0.5146 data_time: 0.0226 memory: 31836 grad_norm: 4.7936 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4329 loss: 1.4329 2022/10/14 02:07:02 - mmengine - INFO - Epoch(val) [37][20/78] eta: 0:00:38 time: 0.6698 data_time: 0.5201 memory: 3561 2022/10/14 02:07:10 - mmengine - INFO - Epoch(val) [37][40/78] eta: 0:00:16 time: 0.4284 data_time: 0.2779 memory: 3561 2022/10/14 02:07:23 - mmengine - INFO - Epoch(val) [37][60/78] eta: 0:00:11 time: 0.6202 data_time: 0.4716 memory: 3561 2022/10/14 02:07:32 - mmengine - INFO - Epoch(val) [37][78/78] acc/top1: 0.6596 acc/top5: 0.8628 acc/mean1: 0.6595 2022/10/14 02:07:48 - mmengine - INFO - Epoch(train) [38][20/940] lr: 1.0000e-02 eta: 9:04:56 time: 0.7878 data_time: 0.2126 memory: 31836 grad_norm: 4.4558 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3753 loss: 1.3753 2022/10/14 02:07:59 - mmengine - INFO - Epoch(train) [38][40/940] lr: 1.0000e-02 eta: 9:04:44 time: 0.5499 data_time: 0.0275 memory: 31836 grad_norm: 4.4991 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4188 loss: 1.4188 2022/10/14 02:08:10 - mmengine - INFO - Epoch(train) [38][60/940] lr: 1.0000e-02 eta: 9:04:34 time: 0.5599 data_time: 0.0278 memory: 31836 grad_norm: 4.5053 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3554 loss: 1.3554 2022/10/14 02:08:21 - mmengine - INFO - Epoch(train) [38][80/940] lr: 1.0000e-02 eta: 9:04:22 time: 0.5454 data_time: 0.0314 memory: 31836 grad_norm: 4.4004 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3961 loss: 1.3961 2022/10/14 02:08:32 - mmengine - INFO - Epoch(train) [38][100/940] lr: 1.0000e-02 eta: 9:04:11 time: 0.5537 data_time: 0.0281 memory: 31836 grad_norm: 4.4239 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3413 loss: 1.3413 2022/10/14 02:08:43 - mmengine - INFO - Epoch(train) [38][120/940] lr: 1.0000e-02 eta: 9:04:00 time: 0.5556 data_time: 0.0330 memory: 31836 grad_norm: 4.4620 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2358 loss: 1.2358 2022/10/14 02:08:54 - mmengine - INFO - Epoch(train) [38][140/940] lr: 1.0000e-02 eta: 9:03:49 time: 0.5374 data_time: 0.0246 memory: 31836 grad_norm: 4.5459 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2782 loss: 1.2782 2022/10/14 02:09:05 - mmengine - INFO - Epoch(train) [38][160/940] lr: 1.0000e-02 eta: 9:03:38 time: 0.5424 data_time: 0.0290 memory: 31836 grad_norm: 4.4082 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3084 loss: 1.3084 2022/10/14 02:09:16 - mmengine - INFO - Epoch(train) [38][180/940] lr: 1.0000e-02 eta: 9:03:27 time: 0.5557 data_time: 0.0334 memory: 31836 grad_norm: 4.6203 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4119 loss: 1.4119 2022/10/14 02:09:27 - mmengine - INFO - Epoch(train) [38][200/940] lr: 1.0000e-02 eta: 9:03:15 time: 0.5479 data_time: 0.0291 memory: 31836 grad_norm: 4.6209 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.3590 loss: 1.3590 2022/10/14 02:09:38 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:09:38 - mmengine - INFO - Epoch(train) [38][220/940] lr: 1.0000e-02 eta: 9:03:04 time: 0.5481 data_time: 0.0264 memory: 31836 grad_norm: 4.7090 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3958 loss: 1.3958 2022/10/14 02:09:49 - mmengine - INFO - Epoch(train) [38][240/940] lr: 1.0000e-02 eta: 9:02:53 time: 0.5517 data_time: 0.0269 memory: 31836 grad_norm: 4.5238 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2550 loss: 1.2550 2022/10/14 02:10:01 - mmengine - INFO - Epoch(train) [38][260/940] lr: 1.0000e-02 eta: 9:02:44 time: 0.5999 data_time: 0.0277 memory: 31836 grad_norm: 4.5714 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3623 loss: 1.3623 2022/10/14 02:10:12 - mmengine - INFO - Epoch(train) [38][280/940] lr: 1.0000e-02 eta: 9:02:33 time: 0.5584 data_time: 0.0261 memory: 31836 grad_norm: 4.6056 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4400 loss: 1.4400 2022/10/14 02:10:23 - mmengine - INFO - Epoch(train) [38][300/940] lr: 1.0000e-02 eta: 9:02:22 time: 0.5486 data_time: 0.0240 memory: 31836 grad_norm: 4.6176 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3787 loss: 1.3787 2022/10/14 02:10:34 - mmengine - INFO - Epoch(train) [38][320/940] lr: 1.0000e-02 eta: 9:02:11 time: 0.5509 data_time: 0.0267 memory: 31836 grad_norm: 4.5691 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4327 loss: 1.4327 2022/10/14 02:10:45 - mmengine - INFO - Epoch(train) [38][340/940] lr: 1.0000e-02 eta: 9:01:59 time: 0.5489 data_time: 0.0295 memory: 31836 grad_norm: 4.6373 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1940 loss: 1.1940 2022/10/14 02:10:56 - mmengine - INFO - Epoch(train) [38][360/940] lr: 1.0000e-02 eta: 9:01:49 time: 0.5565 data_time: 0.0251 memory: 31836 grad_norm: 4.5645 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4041 loss: 1.4041 2022/10/14 02:11:07 - mmengine - INFO - Epoch(train) [38][380/940] lr: 1.0000e-02 eta: 9:01:37 time: 0.5438 data_time: 0.0250 memory: 31836 grad_norm: 4.5794 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3187 loss: 1.3187 2022/10/14 02:11:18 - mmengine - INFO - Epoch(train) [38][400/940] lr: 1.0000e-02 eta: 9:01:26 time: 0.5464 data_time: 0.0276 memory: 31836 grad_norm: 4.5109 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4470 loss: 1.4470 2022/10/14 02:11:30 - mmengine - INFO - Epoch(train) [38][420/940] lr: 1.0000e-02 eta: 9:01:16 time: 0.5962 data_time: 0.0724 memory: 31836 grad_norm: 4.5181 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2476 loss: 1.2476 2022/10/14 02:11:41 - mmengine - INFO - Epoch(train) [38][440/940] lr: 1.0000e-02 eta: 9:01:05 time: 0.5448 data_time: 0.0220 memory: 31836 grad_norm: 4.6380 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4016 loss: 1.4016 2022/10/14 02:11:52 - mmengine - INFO - Epoch(train) [38][460/940] lr: 1.0000e-02 eta: 9:00:54 time: 0.5503 data_time: 0.0322 memory: 31836 grad_norm: 4.6131 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.3264 loss: 1.3264 2022/10/14 02:12:03 - mmengine - INFO - Epoch(train) [38][480/940] lr: 1.0000e-02 eta: 9:00:43 time: 0.5494 data_time: 0.0271 memory: 31836 grad_norm: 4.6678 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3773 loss: 1.3773 2022/10/14 02:12:14 - mmengine - INFO - Epoch(train) [38][500/940] lr: 1.0000e-02 eta: 9:00:32 time: 0.5518 data_time: 0.0279 memory: 31836 grad_norm: 4.6390 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2271 loss: 1.2271 2022/10/14 02:12:25 - mmengine - INFO - Epoch(train) [38][520/940] lr: 1.0000e-02 eta: 9:00:21 time: 0.5481 data_time: 0.0254 memory: 31836 grad_norm: 4.5594 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4002 loss: 1.4002 2022/10/14 02:12:37 - mmengine - INFO - Epoch(train) [38][540/940] lr: 1.0000e-02 eta: 9:00:11 time: 0.5841 data_time: 0.0231 memory: 31836 grad_norm: 4.6521 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4395 loss: 1.4395 2022/10/14 02:12:48 - mmengine - INFO - Epoch(train) [38][560/940] lr: 1.0000e-02 eta: 9:00:00 time: 0.5581 data_time: 0.0268 memory: 31836 grad_norm: 4.6016 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4432 loss: 1.4432 2022/10/14 02:12:59 - mmengine - INFO - Epoch(train) [38][580/940] lr: 1.0000e-02 eta: 8:59:49 time: 0.5512 data_time: 0.0326 memory: 31836 grad_norm: 4.6128 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3525 loss: 1.3525 2022/10/14 02:13:10 - mmengine - INFO - Epoch(train) [38][600/940] lr: 1.0000e-02 eta: 8:59:38 time: 0.5581 data_time: 0.0265 memory: 31836 grad_norm: 4.5435 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4361 loss: 1.4361 2022/10/14 02:13:21 - mmengine - INFO - Epoch(train) [38][620/940] lr: 1.0000e-02 eta: 8:59:27 time: 0.5551 data_time: 0.0316 memory: 31836 grad_norm: 4.4865 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3872 loss: 1.3872 2022/10/14 02:13:32 - mmengine - INFO - Epoch(train) [38][640/940] lr: 1.0000e-02 eta: 8:59:16 time: 0.5463 data_time: 0.0278 memory: 31836 grad_norm: 4.5717 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4791 loss: 1.4791 2022/10/14 02:13:43 - mmengine - INFO - Epoch(train) [38][660/940] lr: 1.0000e-02 eta: 8:59:04 time: 0.5475 data_time: 0.0248 memory: 31836 grad_norm: 4.7352 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3862 loss: 1.3862 2022/10/14 02:13:54 - mmengine - INFO - Epoch(train) [38][680/940] lr: 1.0000e-02 eta: 8:58:53 time: 0.5409 data_time: 0.0287 memory: 31836 grad_norm: 4.5423 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3469 loss: 1.3469 2022/10/14 02:14:06 - mmengine - INFO - Epoch(train) [38][700/940] lr: 1.0000e-02 eta: 8:58:43 time: 0.5981 data_time: 0.0333 memory: 31836 grad_norm: 4.5694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3786 loss: 1.3786 2022/10/14 02:14:17 - mmengine - INFO - Epoch(train) [38][720/940] lr: 1.0000e-02 eta: 8:58:32 time: 0.5454 data_time: 0.0254 memory: 31836 grad_norm: 4.4675 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5232 loss: 1.5232 2022/10/14 02:14:28 - mmengine - INFO - Epoch(train) [38][740/940] lr: 1.0000e-02 eta: 8:58:21 time: 0.5484 data_time: 0.0333 memory: 31836 grad_norm: 4.6508 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3073 loss: 1.3073 2022/10/14 02:14:39 - mmengine - INFO - Epoch(train) [38][760/940] lr: 1.0000e-02 eta: 8:58:10 time: 0.5528 data_time: 0.0289 memory: 31836 grad_norm: 4.5727 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.5245 loss: 1.5245 2022/10/14 02:14:50 - mmengine - INFO - Epoch(train) [38][780/940] lr: 1.0000e-02 eta: 8:57:59 time: 0.5484 data_time: 0.0285 memory: 31836 grad_norm: 4.5942 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4733 loss: 1.4733 2022/10/14 02:15:01 - mmengine - INFO - Epoch(train) [38][800/940] lr: 1.0000e-02 eta: 8:57:48 time: 0.5514 data_time: 0.0271 memory: 31836 grad_norm: 4.4958 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2689 loss: 1.2689 2022/10/14 02:15:12 - mmengine - INFO - Epoch(train) [38][820/940] lr: 1.0000e-02 eta: 8:57:36 time: 0.5438 data_time: 0.0265 memory: 31836 grad_norm: 4.6223 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3937 loss: 1.3937 2022/10/14 02:15:23 - mmengine - INFO - Epoch(train) [38][840/940] lr: 1.0000e-02 eta: 8:57:25 time: 0.5488 data_time: 0.0243 memory: 31836 grad_norm: 4.5881 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3922 loss: 1.3922 2022/10/14 02:15:34 - mmengine - INFO - Epoch(train) [38][860/940] lr: 1.0000e-02 eta: 8:57:14 time: 0.5492 data_time: 0.0292 memory: 31836 grad_norm: 4.5710 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3911 loss: 1.3911 2022/10/14 02:15:45 - mmengine - INFO - Epoch(train) [38][880/940] lr: 1.0000e-02 eta: 8:57:03 time: 0.5439 data_time: 0.0281 memory: 31836 grad_norm: 4.6728 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3942 loss: 1.3942 2022/10/14 02:15:55 - mmengine - INFO - Epoch(train) [38][900/940] lr: 1.0000e-02 eta: 8:56:51 time: 0.5420 data_time: 0.0281 memory: 31836 grad_norm: 4.6636 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.2995 loss: 1.2995 2022/10/14 02:16:06 - mmengine - INFO - Epoch(train) [38][920/940] lr: 1.0000e-02 eta: 8:56:40 time: 0.5517 data_time: 0.0250 memory: 31836 grad_norm: 4.6082 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4250 loss: 1.4250 2022/10/14 02:16:17 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:16:17 - mmengine - INFO - Epoch(train) [38][940/940] lr: 1.0000e-02 eta: 8:56:28 time: 0.5175 data_time: 0.0295 memory: 31836 grad_norm: 4.8742 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5829 loss: 1.5829 2022/10/14 02:16:30 - mmengine - INFO - Epoch(val) [38][20/78] eta: 0:00:36 time: 0.6326 data_time: 0.4829 memory: 3561 2022/10/14 02:16:39 - mmengine - INFO - Epoch(val) [38][40/78] eta: 0:00:17 time: 0.4711 data_time: 0.3228 memory: 3561 2022/10/14 02:16:50 - mmengine - INFO - Epoch(val) [38][60/78] eta: 0:00:10 time: 0.5657 data_time: 0.4186 memory: 3561 2022/10/14 02:17:01 - mmengine - INFO - Epoch(val) [38][78/78] acc/top1: 0.6607 acc/top5: 0.8630 acc/mean1: 0.6605 2022/10/14 02:17:17 - mmengine - INFO - Epoch(train) [39][20/940] lr: 1.0000e-02 eta: 8:56:25 time: 0.7842 data_time: 0.2213 memory: 31836 grad_norm: 4.5316 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2362 loss: 1.2362 2022/10/14 02:17:28 - mmengine - INFO - Epoch(train) [39][40/940] lr: 1.0000e-02 eta: 8:56:14 time: 0.5503 data_time: 0.0273 memory: 31836 grad_norm: 4.5081 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3691 loss: 1.3691 2022/10/14 02:17:39 - mmengine - INFO - Epoch(train) [39][60/940] lr: 1.0000e-02 eta: 8:56:03 time: 0.5755 data_time: 0.0293 memory: 31836 grad_norm: 4.4895 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3329 loss: 1.3329 2022/10/14 02:17:50 - mmengine - INFO - Epoch(train) [39][80/940] lr: 1.0000e-02 eta: 8:55:52 time: 0.5495 data_time: 0.0301 memory: 31836 grad_norm: 4.4334 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3221 loss: 1.3221 2022/10/14 02:18:01 - mmengine - INFO - Epoch(train) [39][100/940] lr: 1.0000e-02 eta: 8:55:41 time: 0.5480 data_time: 0.0342 memory: 31836 grad_norm: 4.5432 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4099 loss: 1.4099 2022/10/14 02:18:12 - mmengine - INFO - Epoch(train) [39][120/940] lr: 1.0000e-02 eta: 8:55:30 time: 0.5435 data_time: 0.0291 memory: 31836 grad_norm: 4.5636 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2619 loss: 1.2619 2022/10/14 02:18:23 - mmengine - INFO - Epoch(train) [39][140/940] lr: 1.0000e-02 eta: 8:55:18 time: 0.5476 data_time: 0.0247 memory: 31836 grad_norm: 4.6101 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3930 loss: 1.3930 2022/10/14 02:18:34 - mmengine - INFO - Epoch(train) [39][160/940] lr: 1.0000e-02 eta: 8:55:07 time: 0.5418 data_time: 0.0273 memory: 31836 grad_norm: 4.5673 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3961 loss: 1.3961 2022/10/14 02:18:45 - mmengine - INFO - Epoch(train) [39][180/940] lr: 1.0000e-02 eta: 8:54:56 time: 0.5562 data_time: 0.0294 memory: 31836 grad_norm: 4.5796 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3787 loss: 1.3787 2022/10/14 02:18:56 - mmengine - INFO - Epoch(train) [39][200/940] lr: 1.0000e-02 eta: 8:54:45 time: 0.5433 data_time: 0.0231 memory: 31836 grad_norm: 4.5558 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.4226 loss: 1.4226 2022/10/14 02:19:07 - mmengine - INFO - Epoch(train) [39][220/940] lr: 1.0000e-02 eta: 8:54:33 time: 0.5472 data_time: 0.0289 memory: 31836 grad_norm: 4.5425 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3803 loss: 1.3803 2022/10/14 02:19:18 - mmengine - INFO - Epoch(train) [39][240/940] lr: 1.0000e-02 eta: 8:54:22 time: 0.5465 data_time: 0.0222 memory: 31836 grad_norm: 4.6183 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3947 loss: 1.3947 2022/10/14 02:19:29 - mmengine - INFO - Epoch(train) [39][260/940] lr: 1.0000e-02 eta: 8:54:11 time: 0.5503 data_time: 0.0331 memory: 31836 grad_norm: 4.5494 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2808 loss: 1.2808 2022/10/14 02:19:39 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:19:39 - mmengine - INFO - Epoch(train) [39][280/940] lr: 1.0000e-02 eta: 8:54:00 time: 0.5403 data_time: 0.0324 memory: 31836 grad_norm: 4.6811 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2923 loss: 1.2923 2022/10/14 02:19:50 - mmengine - INFO - Epoch(train) [39][300/940] lr: 1.0000e-02 eta: 8:53:48 time: 0.5386 data_time: 0.0244 memory: 31836 grad_norm: 4.5021 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4239 loss: 1.4239 2022/10/14 02:20:01 - mmengine - INFO - Epoch(train) [39][320/940] lr: 1.0000e-02 eta: 8:53:37 time: 0.5389 data_time: 0.0254 memory: 31836 grad_norm: 4.5710 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.3057 loss: 1.3057 2022/10/14 02:20:12 - mmengine - INFO - Epoch(train) [39][340/940] lr: 1.0000e-02 eta: 8:53:25 time: 0.5411 data_time: 0.0219 memory: 31836 grad_norm: 4.6429 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3803 loss: 1.3803 2022/10/14 02:20:23 - mmengine - INFO - Epoch(train) [39][360/940] lr: 1.0000e-02 eta: 8:53:14 time: 0.5461 data_time: 0.0250 memory: 31836 grad_norm: 4.6346 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3121 loss: 1.3121 2022/10/14 02:20:34 - mmengine - INFO - Epoch(train) [39][380/940] lr: 1.0000e-02 eta: 8:53:03 time: 0.5492 data_time: 0.0286 memory: 31836 grad_norm: 4.5670 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4387 loss: 1.4387 2022/10/14 02:20:45 - mmengine - INFO - Epoch(train) [39][400/940] lr: 1.0000e-02 eta: 8:52:52 time: 0.5467 data_time: 0.0265 memory: 31836 grad_norm: 4.4996 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2639 loss: 1.2639 2022/10/14 02:20:56 - mmengine - INFO - Epoch(train) [39][420/940] lr: 1.0000e-02 eta: 8:52:40 time: 0.5490 data_time: 0.0243 memory: 31836 grad_norm: 4.5045 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3079 loss: 1.3079 2022/10/14 02:21:07 - mmengine - INFO - Epoch(train) [39][440/940] lr: 1.0000e-02 eta: 8:52:29 time: 0.5489 data_time: 0.0298 memory: 31836 grad_norm: 4.6218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3660 loss: 1.3660 2022/10/14 02:21:18 - mmengine - INFO - Epoch(train) [39][460/940] lr: 1.0000e-02 eta: 8:52:18 time: 0.5510 data_time: 0.0273 memory: 31836 grad_norm: 4.6132 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3562 loss: 1.3562 2022/10/14 02:21:29 - mmengine - INFO - Epoch(train) [39][480/940] lr: 1.0000e-02 eta: 8:52:07 time: 0.5496 data_time: 0.0229 memory: 31836 grad_norm: 4.5207 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2643 loss: 1.2643 2022/10/14 02:21:40 - mmengine - INFO - Epoch(train) [39][500/940] lr: 1.0000e-02 eta: 8:51:56 time: 0.5601 data_time: 0.0260 memory: 31836 grad_norm: 4.7179 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4083 loss: 1.4083 2022/10/14 02:21:51 - mmengine - INFO - Epoch(train) [39][520/940] lr: 1.0000e-02 eta: 8:51:45 time: 0.5514 data_time: 0.0312 memory: 31836 grad_norm: 4.5960 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 1.3307 loss: 1.3307 2022/10/14 02:22:02 - mmengine - INFO - Epoch(train) [39][540/940] lr: 1.0000e-02 eta: 8:51:34 time: 0.5483 data_time: 0.0260 memory: 31836 grad_norm: 4.4907 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.3302 loss: 1.3302 2022/10/14 02:22:13 - mmengine - INFO - Epoch(train) [39][560/940] lr: 1.0000e-02 eta: 8:51:23 time: 0.5509 data_time: 0.0255 memory: 31836 grad_norm: 4.5412 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3410 loss: 1.3410 2022/10/14 02:22:24 - mmengine - INFO - Epoch(train) [39][580/940] lr: 1.0000e-02 eta: 8:51:12 time: 0.5480 data_time: 0.0323 memory: 31836 grad_norm: 4.5822 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3470 loss: 1.3470 2022/10/14 02:22:35 - mmengine - INFO - Epoch(train) [39][600/940] lr: 1.0000e-02 eta: 8:51:00 time: 0.5412 data_time: 0.0278 memory: 31836 grad_norm: 4.4696 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.4094 loss: 1.4094 2022/10/14 02:22:45 - mmengine - INFO - Epoch(train) [39][620/940] lr: 1.0000e-02 eta: 8:50:49 time: 0.5438 data_time: 0.0243 memory: 31836 grad_norm: 4.5975 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3299 loss: 1.3299 2022/10/14 02:22:57 - mmengine - INFO - Epoch(train) [39][640/940] lr: 1.0000e-02 eta: 8:50:38 time: 0.5562 data_time: 0.0264 memory: 31836 grad_norm: 4.5787 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4244 loss: 1.4244 2022/10/14 02:23:08 - mmengine - INFO - Epoch(train) [39][660/940] lr: 1.0000e-02 eta: 8:50:27 time: 0.5471 data_time: 0.0281 memory: 31836 grad_norm: 4.6846 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4877 loss: 1.4877 2022/10/14 02:23:18 - mmengine - INFO - Epoch(train) [39][680/940] lr: 1.0000e-02 eta: 8:50:15 time: 0.5411 data_time: 0.0242 memory: 31836 grad_norm: 4.5302 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3239 loss: 1.3239 2022/10/14 02:23:29 - mmengine - INFO - Epoch(train) [39][700/940] lr: 1.0000e-02 eta: 8:50:05 time: 0.5551 data_time: 0.0260 memory: 31836 grad_norm: 4.4789 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.3859 loss: 1.3859 2022/10/14 02:23:40 - mmengine - INFO - Epoch(train) [39][720/940] lr: 1.0000e-02 eta: 8:49:53 time: 0.5483 data_time: 0.0311 memory: 31836 grad_norm: 4.6347 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3510 loss: 1.3510 2022/10/14 02:23:51 - mmengine - INFO - Epoch(train) [39][740/940] lr: 1.0000e-02 eta: 8:49:42 time: 0.5426 data_time: 0.0257 memory: 31836 grad_norm: 4.6294 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3511 loss: 1.3511 2022/10/14 02:24:02 - mmengine - INFO - Epoch(train) [39][760/940] lr: 1.0000e-02 eta: 8:49:31 time: 0.5464 data_time: 0.0267 memory: 31836 grad_norm: 4.5891 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3995 loss: 1.3995 2022/10/14 02:24:13 - mmengine - INFO - Epoch(train) [39][780/940] lr: 1.0000e-02 eta: 8:49:19 time: 0.5420 data_time: 0.0267 memory: 31836 grad_norm: 4.5684 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/10/14 02:24:24 - mmengine - INFO - Epoch(train) [39][800/940] lr: 1.0000e-02 eta: 8:49:08 time: 0.5508 data_time: 0.0321 memory: 31836 grad_norm: 4.6150 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4290 loss: 1.4290 2022/10/14 02:24:35 - mmengine - INFO - Epoch(train) [39][820/940] lr: 1.0000e-02 eta: 8:48:57 time: 0.5427 data_time: 0.0297 memory: 31836 grad_norm: 4.6555 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2610 loss: 1.2610 2022/10/14 02:24:46 - mmengine - INFO - Epoch(train) [39][840/940] lr: 1.0000e-02 eta: 8:48:46 time: 0.5549 data_time: 0.0284 memory: 31836 grad_norm: 4.5241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3545 loss: 1.3545 2022/10/14 02:24:57 - mmengine - INFO - Epoch(train) [39][860/940] lr: 1.0000e-02 eta: 8:48:34 time: 0.5377 data_time: 0.0278 memory: 31836 grad_norm: 4.7428 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3456 loss: 1.3456 2022/10/14 02:25:08 - mmengine - INFO - Epoch(train) [39][880/940] lr: 1.0000e-02 eta: 8:48:24 time: 0.5578 data_time: 0.0327 memory: 31836 grad_norm: 4.6399 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4122 loss: 1.4122 2022/10/14 02:25:19 - mmengine - INFO - Epoch(train) [39][900/940] lr: 1.0000e-02 eta: 8:48:12 time: 0.5488 data_time: 0.0321 memory: 31836 grad_norm: 4.5821 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3121 loss: 1.3121 2022/10/14 02:25:30 - mmengine - INFO - Epoch(train) [39][920/940] lr: 1.0000e-02 eta: 8:48:01 time: 0.5485 data_time: 0.0312 memory: 31836 grad_norm: 4.5322 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3850 loss: 1.3850 2022/10/14 02:25:40 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:25:40 - mmengine - INFO - Epoch(train) [39][940/940] lr: 1.0000e-02 eta: 8:47:49 time: 0.5155 data_time: 0.0225 memory: 31836 grad_norm: 4.7977 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.2057 loss: 1.2057 2022/10/14 02:25:40 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/10/14 02:25:56 - mmengine - INFO - Epoch(val) [39][20/78] eta: 0:00:41 time: 0.7105 data_time: 0.5626 memory: 3561 2022/10/14 02:26:05 - mmengine - INFO - Epoch(val) [39][40/78] eta: 0:00:17 time: 0.4700 data_time: 0.3222 memory: 3561 2022/10/14 02:26:17 - mmengine - INFO - Epoch(val) [39][60/78] eta: 0:00:10 time: 0.5750 data_time: 0.4284 memory: 3561 2022/10/14 02:26:26 - mmengine - INFO - Epoch(val) [39][78/78] acc/top1: 0.6612 acc/top5: 0.8597 acc/mean1: 0.6611 2022/10/14 02:26:41 - mmengine - INFO - Epoch(train) [40][20/940] lr: 1.0000e-02 eta: 8:47:44 time: 0.7453 data_time: 0.2197 memory: 31836 grad_norm: 4.4504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3390 loss: 1.3390 2022/10/14 02:26:52 - mmengine - INFO - Epoch(train) [40][40/940] lr: 1.0000e-02 eta: 8:47:33 time: 0.5557 data_time: 0.0253 memory: 31836 grad_norm: 4.5360 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.4493 loss: 1.4493 2022/10/14 02:27:04 - mmengine - INFO - Epoch(train) [40][60/940] lr: 1.0000e-02 eta: 8:47:23 time: 0.5668 data_time: 0.0348 memory: 31836 grad_norm: 4.5780 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3720 loss: 1.3720 2022/10/14 02:27:15 - mmengine - INFO - Epoch(train) [40][80/940] lr: 1.0000e-02 eta: 8:47:12 time: 0.5570 data_time: 0.0250 memory: 31836 grad_norm: 4.5500 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2868 loss: 1.2868 2022/10/14 02:27:26 - mmengine - INFO - Epoch(train) [40][100/940] lr: 1.0000e-02 eta: 8:47:01 time: 0.5528 data_time: 0.0349 memory: 31836 grad_norm: 4.5851 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4385 loss: 1.4385 2022/10/14 02:27:37 - mmengine - INFO - Epoch(train) [40][120/940] lr: 1.0000e-02 eta: 8:46:49 time: 0.5420 data_time: 0.0245 memory: 31836 grad_norm: 4.6320 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3469 loss: 1.3469 2022/10/14 02:27:48 - mmengine - INFO - Epoch(train) [40][140/940] lr: 1.0000e-02 eta: 8:46:38 time: 0.5531 data_time: 0.0297 memory: 31836 grad_norm: 4.5269 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4429 loss: 1.4429 2022/10/14 02:27:59 - mmengine - INFO - Epoch(train) [40][160/940] lr: 1.0000e-02 eta: 8:46:27 time: 0.5490 data_time: 0.0255 memory: 31836 grad_norm: 4.6742 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4521 loss: 1.4521 2022/10/14 02:28:10 - mmengine - INFO - Epoch(train) [40][180/940] lr: 1.0000e-02 eta: 8:46:16 time: 0.5475 data_time: 0.0307 memory: 31836 grad_norm: 4.5783 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3161 loss: 1.3161 2022/10/14 02:28:20 - mmengine - INFO - Epoch(train) [40][200/940] lr: 1.0000e-02 eta: 8:46:04 time: 0.5436 data_time: 0.0306 memory: 31836 grad_norm: 4.5774 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2584 loss: 1.2584 2022/10/14 02:28:31 - mmengine - INFO - Epoch(train) [40][220/940] lr: 1.0000e-02 eta: 8:45:53 time: 0.5451 data_time: 0.0315 memory: 31836 grad_norm: 4.4652 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2919 loss: 1.2919 2022/10/14 02:28:42 - mmengine - INFO - Epoch(train) [40][240/940] lr: 1.0000e-02 eta: 8:45:42 time: 0.5479 data_time: 0.0292 memory: 31836 grad_norm: 4.6510 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/10/14 02:28:53 - mmengine - INFO - Epoch(train) [40][260/940] lr: 1.0000e-02 eta: 8:45:31 time: 0.5478 data_time: 0.0255 memory: 31836 grad_norm: 4.6513 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3473 loss: 1.3473 2022/10/14 02:29:04 - mmengine - INFO - Epoch(train) [40][280/940] lr: 1.0000e-02 eta: 8:45:19 time: 0.5421 data_time: 0.0281 memory: 31836 grad_norm: 4.5830 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3570 loss: 1.3570 2022/10/14 02:29:15 - mmengine - INFO - Epoch(train) [40][300/940] lr: 1.0000e-02 eta: 8:45:08 time: 0.5439 data_time: 0.0283 memory: 31836 grad_norm: 4.5738 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2716 loss: 1.2716 2022/10/14 02:29:26 - mmengine - INFO - Epoch(train) [40][320/940] lr: 1.0000e-02 eta: 8:44:57 time: 0.5630 data_time: 0.0246 memory: 31836 grad_norm: 4.6048 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/10/14 02:29:37 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:29:37 - mmengine - INFO - Epoch(train) [40][340/940] lr: 1.0000e-02 eta: 8:44:46 time: 0.5515 data_time: 0.0286 memory: 31836 grad_norm: 4.4928 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1938 loss: 1.1938 2022/10/14 02:29:48 - mmengine - INFO - Epoch(train) [40][360/940] lr: 1.0000e-02 eta: 8:44:35 time: 0.5518 data_time: 0.0270 memory: 31836 grad_norm: 4.6196 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4271 loss: 1.4271 2022/10/14 02:29:59 - mmengine - INFO - Epoch(train) [40][380/940] lr: 1.0000e-02 eta: 8:44:24 time: 0.5453 data_time: 0.0272 memory: 31836 grad_norm: 4.6336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2759 loss: 1.2759 2022/10/14 02:30:10 - mmengine - INFO - Epoch(train) [40][400/940] lr: 1.0000e-02 eta: 8:44:13 time: 0.5502 data_time: 0.0258 memory: 31836 grad_norm: 4.5742 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3305 loss: 1.3305 2022/10/14 02:30:21 - mmengine - INFO - Epoch(train) [40][420/940] lr: 1.0000e-02 eta: 8:44:02 time: 0.5477 data_time: 0.0255 memory: 31836 grad_norm: 4.6664 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2992 loss: 1.2992 2022/10/14 02:30:32 - mmengine - INFO - Epoch(train) [40][440/940] lr: 1.0000e-02 eta: 8:43:50 time: 0.5448 data_time: 0.0242 memory: 31836 grad_norm: 4.6784 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2533 loss: 1.2533 2022/10/14 02:30:43 - mmengine - INFO - Epoch(train) [40][460/940] lr: 1.0000e-02 eta: 8:43:39 time: 0.5464 data_time: 0.0262 memory: 31836 grad_norm: 4.5424 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4006 loss: 1.4006 2022/10/14 02:30:54 - mmengine - INFO - Epoch(train) [40][480/940] lr: 1.0000e-02 eta: 8:43:28 time: 0.5483 data_time: 0.0323 memory: 31836 grad_norm: 4.5387 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2943 loss: 1.2943 2022/10/14 02:31:05 - mmengine - INFO - Epoch(train) [40][500/940] lr: 1.0000e-02 eta: 8:43:17 time: 0.5442 data_time: 0.0261 memory: 31836 grad_norm: 4.5301 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2726 loss: 1.2726 2022/10/14 02:31:16 - mmengine - INFO - Epoch(train) [40][520/940] lr: 1.0000e-02 eta: 8:43:06 time: 0.5492 data_time: 0.0321 memory: 31836 grad_norm: 4.4829 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4127 loss: 1.4127 2022/10/14 02:31:27 - mmengine - INFO - Epoch(train) [40][540/940] lr: 1.0000e-02 eta: 8:42:54 time: 0.5473 data_time: 0.0279 memory: 31836 grad_norm: 4.6109 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2839 loss: 1.2839 2022/10/14 02:31:38 - mmengine - INFO - Epoch(train) [40][560/940] lr: 1.0000e-02 eta: 8:42:44 time: 0.5779 data_time: 0.0295 memory: 31836 grad_norm: 4.5804 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3590 loss: 1.3590 2022/10/14 02:31:49 - mmengine - INFO - Epoch(train) [40][580/940] lr: 1.0000e-02 eta: 8:42:33 time: 0.5529 data_time: 0.0260 memory: 31836 grad_norm: 4.7353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4281 loss: 1.4281 2022/10/14 02:32:00 - mmengine - INFO - Epoch(train) [40][600/940] lr: 1.0000e-02 eta: 8:42:22 time: 0.5503 data_time: 0.0271 memory: 31836 grad_norm: 4.6163 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3788 loss: 1.3788 2022/10/14 02:32:11 - mmengine - INFO - Epoch(train) [40][620/940] lr: 1.0000e-02 eta: 8:42:11 time: 0.5487 data_time: 0.0309 memory: 31836 grad_norm: 4.6515 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4672 loss: 1.4672 2022/10/14 02:32:22 - mmengine - INFO - Epoch(train) [40][640/940] lr: 1.0000e-02 eta: 8:42:00 time: 0.5501 data_time: 0.0267 memory: 31836 grad_norm: 4.6347 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3874 loss: 1.3874 2022/10/14 02:32:33 - mmengine - INFO - Epoch(train) [40][660/940] lr: 1.0000e-02 eta: 8:41:48 time: 0.5418 data_time: 0.0291 memory: 31836 grad_norm: 4.7781 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2850 loss: 1.2850 2022/10/14 02:32:44 - mmengine - INFO - Epoch(train) [40][680/940] lr: 1.0000e-02 eta: 8:41:37 time: 0.5455 data_time: 0.0274 memory: 31836 grad_norm: 4.6650 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3031 loss: 1.3031 2022/10/14 02:32:55 - mmengine - INFO - Epoch(train) [40][700/940] lr: 1.0000e-02 eta: 8:41:26 time: 0.5655 data_time: 0.0283 memory: 31836 grad_norm: 4.6954 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3272 loss: 1.3272 2022/10/14 02:33:06 - mmengine - INFO - Epoch(train) [40][720/940] lr: 1.0000e-02 eta: 8:41:15 time: 0.5484 data_time: 0.0301 memory: 31836 grad_norm: 4.7020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3587 loss: 1.3587 2022/10/14 02:33:17 - mmengine - INFO - Epoch(train) [40][740/940] lr: 1.0000e-02 eta: 8:41:04 time: 0.5432 data_time: 0.0297 memory: 31836 grad_norm: 4.5893 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4256 loss: 1.4256 2022/10/14 02:33:28 - mmengine - INFO - Epoch(train) [40][760/940] lr: 1.0000e-02 eta: 8:40:53 time: 0.5414 data_time: 0.0223 memory: 31836 grad_norm: 4.6199 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3270 loss: 1.3270 2022/10/14 02:33:39 - mmengine - INFO - Epoch(train) [40][780/940] lr: 1.0000e-02 eta: 8:40:41 time: 0.5438 data_time: 0.0261 memory: 31836 grad_norm: 4.6489 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3296 loss: 1.3296 2022/10/14 02:33:50 - mmengine - INFO - Epoch(train) [40][800/940] lr: 1.0000e-02 eta: 8:40:30 time: 0.5528 data_time: 0.0301 memory: 31836 grad_norm: 4.6037 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4409 loss: 1.4409 2022/10/14 02:34:01 - mmengine - INFO - Epoch(train) [40][820/940] lr: 1.0000e-02 eta: 8:40:19 time: 0.5526 data_time: 0.0314 memory: 31836 grad_norm: 4.7048 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4155 loss: 1.4155 2022/10/14 02:34:12 - mmengine - INFO - Epoch(train) [40][840/940] lr: 1.0000e-02 eta: 8:40:08 time: 0.5518 data_time: 0.0288 memory: 31836 grad_norm: 4.5770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4393 loss: 1.4393 2022/10/14 02:34:23 - mmengine - INFO - Epoch(train) [40][860/940] lr: 1.0000e-02 eta: 8:39:57 time: 0.5447 data_time: 0.0297 memory: 31836 grad_norm: 4.6423 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3825 loss: 1.3825 2022/10/14 02:34:34 - mmengine - INFO - Epoch(train) [40][880/940] lr: 1.0000e-02 eta: 8:39:46 time: 0.5441 data_time: 0.0230 memory: 31836 grad_norm: 4.6004 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4410 loss: 1.4410 2022/10/14 02:34:45 - mmengine - INFO - Epoch(train) [40][900/940] lr: 1.0000e-02 eta: 8:39:34 time: 0.5420 data_time: 0.0317 memory: 31836 grad_norm: 4.5880 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3959 loss: 1.3959 2022/10/14 02:34:56 - mmengine - INFO - Epoch(train) [40][920/940] lr: 1.0000e-02 eta: 8:39:24 time: 0.5664 data_time: 0.0234 memory: 31836 grad_norm: 4.6941 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4513 loss: 1.4513 2022/10/14 02:35:06 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:35:06 - mmengine - INFO - Epoch(train) [40][940/940] lr: 1.0000e-02 eta: 8:39:11 time: 0.5153 data_time: 0.0247 memory: 31836 grad_norm: 4.8558 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4032 loss: 1.4032 2022/10/14 02:35:19 - mmengine - INFO - Epoch(val) [40][20/78] eta: 0:00:36 time: 0.6274 data_time: 0.4761 memory: 3561 2022/10/14 02:35:29 - mmengine - INFO - Epoch(val) [40][40/78] eta: 0:00:18 time: 0.4787 data_time: 0.3316 memory: 3561 2022/10/14 02:35:40 - mmengine - INFO - Epoch(val) [40][60/78] eta: 0:00:10 time: 0.5658 data_time: 0.4178 memory: 3561 2022/10/14 02:35:51 - mmengine - INFO - Epoch(val) [40][78/78] acc/top1: 0.6553 acc/top5: 0.8584 acc/mean1: 0.6552 2022/10/14 02:36:07 - mmengine - INFO - Epoch(train) [41][20/940] lr: 1.0000e-03 eta: 8:39:07 time: 0.7830 data_time: 0.2168 memory: 31836 grad_norm: 4.4639 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2647 loss: 1.2647 2022/10/14 02:36:18 - mmengine - INFO - Epoch(train) [41][40/940] lr: 1.0000e-03 eta: 8:38:56 time: 0.5519 data_time: 0.0283 memory: 31836 grad_norm: 4.4640 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3222 loss: 1.3222 2022/10/14 02:36:29 - mmengine - INFO - Epoch(train) [41][60/940] lr: 1.0000e-03 eta: 8:38:46 time: 0.5833 data_time: 0.0332 memory: 31836 grad_norm: 4.3251 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3182 loss: 1.3182 2022/10/14 02:36:40 - mmengine - INFO - Epoch(train) [41][80/940] lr: 1.0000e-03 eta: 8:38:35 time: 0.5409 data_time: 0.0314 memory: 31836 grad_norm: 4.2904 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2034 loss: 1.2034 2022/10/14 02:36:52 - mmengine - INFO - Epoch(train) [41][100/940] lr: 1.0000e-03 eta: 8:38:25 time: 0.5962 data_time: 0.0317 memory: 31836 grad_norm: 4.3357 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2648 loss: 1.2648 2022/10/14 02:37:03 - mmengine - INFO - Epoch(train) [41][120/940] lr: 1.0000e-03 eta: 8:38:14 time: 0.5484 data_time: 0.0266 memory: 31836 grad_norm: 4.1430 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2430 loss: 1.2430 2022/10/14 02:37:14 - mmengine - INFO - Epoch(train) [41][140/940] lr: 1.0000e-03 eta: 8:38:03 time: 0.5607 data_time: 0.0242 memory: 31836 grad_norm: 4.3757 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2908 loss: 1.2908 2022/10/14 02:37:25 - mmengine - INFO - Epoch(train) [41][160/940] lr: 1.0000e-03 eta: 8:37:52 time: 0.5518 data_time: 0.0257 memory: 31836 grad_norm: 4.4546 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3014 loss: 1.3014 2022/10/14 02:37:37 - mmengine - INFO - Epoch(train) [41][180/940] lr: 1.0000e-03 eta: 8:37:41 time: 0.5640 data_time: 0.0322 memory: 31836 grad_norm: 4.2332 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3649 loss: 1.3649 2022/10/14 02:37:48 - mmengine - INFO - Epoch(train) [41][200/940] lr: 1.0000e-03 eta: 8:37:30 time: 0.5410 data_time: 0.0257 memory: 31836 grad_norm: 4.3002 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1714 loss: 1.1714 2022/10/14 02:37:59 - mmengine - INFO - Epoch(train) [41][220/940] lr: 1.0000e-03 eta: 8:37:19 time: 0.5573 data_time: 0.0299 memory: 31836 grad_norm: 4.2489 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1965 loss: 1.1965 2022/10/14 02:38:10 - mmengine - INFO - Epoch(train) [41][240/940] lr: 1.0000e-03 eta: 8:37:08 time: 0.5486 data_time: 0.0246 memory: 31836 grad_norm: 4.3009 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1901 loss: 1.1901 2022/10/14 02:38:21 - mmengine - INFO - Epoch(train) [41][260/940] lr: 1.0000e-03 eta: 8:36:56 time: 0.5446 data_time: 0.0239 memory: 31836 grad_norm: 4.2928 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2548 loss: 1.2548 2022/10/14 02:38:31 - mmengine - INFO - Epoch(train) [41][280/940] lr: 1.0000e-03 eta: 8:36:45 time: 0.5462 data_time: 0.0293 memory: 31836 grad_norm: 4.3281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/10/14 02:38:42 - mmengine - INFO - Epoch(train) [41][300/940] lr: 1.0000e-03 eta: 8:36:34 time: 0.5429 data_time: 0.0271 memory: 31836 grad_norm: 4.3632 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/10/14 02:38:53 - mmengine - INFO - Epoch(train) [41][320/940] lr: 1.0000e-03 eta: 8:36:23 time: 0.5485 data_time: 0.0306 memory: 31836 grad_norm: 4.3710 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2826 loss: 1.2826 2022/10/14 02:39:04 - mmengine - INFO - Epoch(train) [41][340/940] lr: 1.0000e-03 eta: 8:36:12 time: 0.5549 data_time: 0.0308 memory: 31836 grad_norm: 4.2387 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1857 loss: 1.1857 2022/10/14 02:39:15 - mmengine - INFO - Epoch(train) [41][360/940] lr: 1.0000e-03 eta: 8:36:01 time: 0.5482 data_time: 0.0299 memory: 31836 grad_norm: 4.3054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/10/14 02:39:26 - mmengine - INFO - Epoch(train) [41][380/940] lr: 1.0000e-03 eta: 8:35:49 time: 0.5497 data_time: 0.0292 memory: 31836 grad_norm: 4.4049 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.2047 loss: 1.2047 2022/10/14 02:39:37 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:39:37 - mmengine - INFO - Epoch(train) [41][400/940] lr: 1.0000e-03 eta: 8:35:38 time: 0.5516 data_time: 0.0296 memory: 31836 grad_norm: 4.1923 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2615 loss: 1.2615 2022/10/14 02:39:48 - mmengine - INFO - Epoch(train) [41][420/940] lr: 1.0000e-03 eta: 8:35:27 time: 0.5476 data_time: 0.0299 memory: 31836 grad_norm: 4.2870 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1540 loss: 1.1540 2022/10/14 02:39:59 - mmengine - INFO - Epoch(train) [41][440/940] lr: 1.0000e-03 eta: 8:35:16 time: 0.5431 data_time: 0.0315 memory: 31836 grad_norm: 4.3371 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2418 loss: 1.2418 2022/10/14 02:40:11 - mmengine - INFO - Epoch(train) [41][460/940] lr: 1.0000e-03 eta: 8:35:06 time: 0.5974 data_time: 0.0281 memory: 31836 grad_norm: 4.3961 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2859 loss: 1.2859 2022/10/14 02:40:22 - mmengine - INFO - Epoch(train) [41][480/940] lr: 1.0000e-03 eta: 8:34:55 time: 0.5409 data_time: 0.0268 memory: 31836 grad_norm: 4.2599 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.1450 loss: 1.1450 2022/10/14 02:40:33 - mmengine - INFO - Epoch(train) [41][500/940] lr: 1.0000e-03 eta: 8:34:44 time: 0.5479 data_time: 0.0296 memory: 31836 grad_norm: 4.2859 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2344 loss: 1.2344 2022/10/14 02:40:44 - mmengine - INFO - Epoch(train) [41][520/940] lr: 1.0000e-03 eta: 8:34:32 time: 0.5432 data_time: 0.0293 memory: 31836 grad_norm: 4.2638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2497 loss: 1.2497 2022/10/14 02:40:55 - mmengine - INFO - Epoch(train) [41][540/940] lr: 1.0000e-03 eta: 8:34:21 time: 0.5464 data_time: 0.0289 memory: 31836 grad_norm: 4.2640 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1534 loss: 1.1534 2022/10/14 02:41:06 - mmengine - INFO - Epoch(train) [41][560/940] lr: 1.0000e-03 eta: 8:34:10 time: 0.5403 data_time: 0.0368 memory: 31836 grad_norm: 4.3496 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1453 loss: 1.1453 2022/10/14 02:41:17 - mmengine - INFO - Epoch(train) [41][580/940] lr: 1.0000e-03 eta: 8:33:59 time: 0.5542 data_time: 0.0266 memory: 31836 grad_norm: 4.2012 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1756 loss: 1.1756 2022/10/14 02:41:28 - mmengine - INFO - Epoch(train) [41][600/940] lr: 1.0000e-03 eta: 8:33:47 time: 0.5457 data_time: 0.0305 memory: 31836 grad_norm: 4.2940 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2945 loss: 1.2945 2022/10/14 02:41:39 - mmengine - INFO - Epoch(train) [41][620/940] lr: 1.0000e-03 eta: 8:33:36 time: 0.5556 data_time: 0.0255 memory: 31836 grad_norm: 4.2446 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1933 loss: 1.1933 2022/10/14 02:41:50 - mmengine - INFO - Epoch(train) [41][640/940] lr: 1.0000e-03 eta: 8:33:25 time: 0.5493 data_time: 0.0321 memory: 31836 grad_norm: 4.2927 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1577 loss: 1.1577 2022/10/14 02:42:00 - mmengine - INFO - Epoch(train) [41][660/940] lr: 1.0000e-03 eta: 8:33:14 time: 0.5374 data_time: 0.0251 memory: 31836 grad_norm: 4.2531 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.2145 loss: 1.2145 2022/10/14 02:42:11 - mmengine - INFO - Epoch(train) [41][680/940] lr: 1.0000e-03 eta: 8:33:03 time: 0.5471 data_time: 0.0285 memory: 31836 grad_norm: 4.3394 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2015 loss: 1.2015 2022/10/14 02:42:23 - mmengine - INFO - Epoch(train) [41][700/940] lr: 1.0000e-03 eta: 8:32:52 time: 0.5616 data_time: 0.0391 memory: 31836 grad_norm: 4.2607 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1952 loss: 1.1952 2022/10/14 02:42:34 - mmengine - INFO - Epoch(train) [41][720/940] lr: 1.0000e-03 eta: 8:32:41 time: 0.5509 data_time: 0.0225 memory: 31836 grad_norm: 4.3094 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2958 loss: 1.2958 2022/10/14 02:42:45 - mmengine - INFO - Epoch(train) [41][740/940] lr: 1.0000e-03 eta: 8:32:29 time: 0.5485 data_time: 0.0300 memory: 31836 grad_norm: 4.2683 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2513 loss: 1.2513 2022/10/14 02:42:56 - mmengine - INFO - Epoch(train) [41][760/940] lr: 1.0000e-03 eta: 8:32:19 time: 0.5555 data_time: 0.0240 memory: 31836 grad_norm: 4.2352 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1815 loss: 1.1815 2022/10/14 02:43:07 - mmengine - INFO - Epoch(train) [41][780/940] lr: 1.0000e-03 eta: 8:32:07 time: 0.5467 data_time: 0.0279 memory: 31836 grad_norm: 4.2440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1750 loss: 1.1750 2022/10/14 02:43:18 - mmengine - INFO - Epoch(train) [41][800/940] lr: 1.0000e-03 eta: 8:31:56 time: 0.5504 data_time: 0.0265 memory: 31836 grad_norm: 4.4929 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1915 loss: 1.1915 2022/10/14 02:43:29 - mmengine - INFO - Epoch(train) [41][820/940] lr: 1.0000e-03 eta: 8:31:45 time: 0.5531 data_time: 0.0347 memory: 31836 grad_norm: 4.3623 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/10/14 02:43:39 - mmengine - INFO - Epoch(train) [41][840/940] lr: 1.0000e-03 eta: 8:31:34 time: 0.5374 data_time: 0.0268 memory: 31836 grad_norm: 4.3766 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0893 loss: 1.0893 2022/10/14 02:43:50 - mmengine - INFO - Epoch(train) [41][860/940] lr: 1.0000e-03 eta: 8:31:22 time: 0.5457 data_time: 0.0292 memory: 31836 grad_norm: 4.3488 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2226 loss: 1.2226 2022/10/14 02:44:01 - mmengine - INFO - Epoch(train) [41][880/940] lr: 1.0000e-03 eta: 8:31:11 time: 0.5431 data_time: 0.0255 memory: 31836 grad_norm: 4.3158 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1768 loss: 1.1768 2022/10/14 02:44:12 - mmengine - INFO - Epoch(train) [41][900/940] lr: 1.0000e-03 eta: 8:31:00 time: 0.5584 data_time: 0.0311 memory: 31836 grad_norm: 4.2065 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 1.2848 loss: 1.2848 2022/10/14 02:44:23 - mmengine - INFO - Epoch(train) [41][920/940] lr: 1.0000e-03 eta: 8:30:49 time: 0.5447 data_time: 0.0273 memory: 31836 grad_norm: 4.2453 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2105 loss: 1.2105 2022/10/14 02:44:33 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:44:33 - mmengine - INFO - Epoch(train) [41][940/940] lr: 1.0000e-03 eta: 8:30:37 time: 0.5119 data_time: 0.0214 memory: 31836 grad_norm: 4.5399 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2173 loss: 1.2173 2022/10/14 02:44:46 - mmengine - INFO - Epoch(val) [41][20/78] eta: 0:00:36 time: 0.6323 data_time: 0.4797 memory: 3561 2022/10/14 02:44:55 - mmengine - INFO - Epoch(val) [41][40/78] eta: 0:00:16 time: 0.4309 data_time: 0.2805 memory: 3561 2022/10/14 02:45:06 - mmengine - INFO - Epoch(val) [41][60/78] eta: 0:00:10 time: 0.5818 data_time: 0.4320 memory: 3561 2022/10/14 02:45:17 - mmengine - INFO - Epoch(val) [41][78/78] acc/top1: 0.6866 acc/top5: 0.8793 acc/mean1: 0.6864 2022/10/14 02:45:17 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_31.pth is removed 2022/10/14 02:45:18 - mmengine - INFO - The best checkpoint with 0.6866 acc/top1 at 41 epoch is saved to best_acc/top1_epoch_41.pth. 2022/10/14 02:45:33 - mmengine - INFO - Epoch(train) [42][20/940] lr: 1.0000e-03 eta: 8:30:32 time: 0.7762 data_time: 0.1965 memory: 31836 grad_norm: 4.3156 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1160 loss: 1.1160 2022/10/14 02:45:44 - mmengine - INFO - Epoch(train) [42][40/940] lr: 1.0000e-03 eta: 8:30:21 time: 0.5473 data_time: 0.0267 memory: 31836 grad_norm: 4.2887 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2292 loss: 1.2292 2022/10/14 02:45:55 - mmengine - INFO - Epoch(train) [42][60/940] lr: 1.0000e-03 eta: 8:30:10 time: 0.5547 data_time: 0.0315 memory: 31836 grad_norm: 4.2779 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2905 loss: 1.2905 2022/10/14 02:46:07 - mmengine - INFO - Epoch(train) [42][80/940] lr: 1.0000e-03 eta: 8:29:59 time: 0.5559 data_time: 0.0314 memory: 31836 grad_norm: 4.2930 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0973 loss: 1.0973 2022/10/14 02:46:17 - mmengine - INFO - Epoch(train) [42][100/940] lr: 1.0000e-03 eta: 8:29:48 time: 0.5453 data_time: 0.0248 memory: 31836 grad_norm: 4.2934 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1246 loss: 1.1246 2022/10/14 02:46:29 - mmengine - INFO - Epoch(train) [42][120/940] lr: 1.0000e-03 eta: 8:29:37 time: 0.5560 data_time: 0.0254 memory: 31836 grad_norm: 4.4588 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3820 loss: 1.3820 2022/10/14 02:46:40 - mmengine - INFO - Epoch(train) [42][140/940] lr: 1.0000e-03 eta: 8:29:26 time: 0.5473 data_time: 0.0253 memory: 31836 grad_norm: 4.3331 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0043 loss: 1.0043 2022/10/14 02:46:51 - mmengine - INFO - Epoch(train) [42][160/940] lr: 1.0000e-03 eta: 8:29:15 time: 0.5551 data_time: 0.0296 memory: 31836 grad_norm: 4.2572 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2854 loss: 1.2854 2022/10/14 02:47:02 - mmengine - INFO - Epoch(train) [42][180/940] lr: 1.0000e-03 eta: 8:29:04 time: 0.5548 data_time: 0.0283 memory: 31836 grad_norm: 4.2892 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3129 loss: 1.3129 2022/10/14 02:47:13 - mmengine - INFO - Epoch(train) [42][200/940] lr: 1.0000e-03 eta: 8:28:53 time: 0.5574 data_time: 0.0271 memory: 31836 grad_norm: 4.3961 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1844 loss: 1.1844 2022/10/14 02:47:24 - mmengine - INFO - Epoch(train) [42][220/940] lr: 1.0000e-03 eta: 8:28:41 time: 0.5449 data_time: 0.0256 memory: 31836 grad_norm: 4.4001 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1430 loss: 1.1430 2022/10/14 02:47:35 - mmengine - INFO - Epoch(train) [42][240/940] lr: 1.0000e-03 eta: 8:28:30 time: 0.5457 data_time: 0.0311 memory: 31836 grad_norm: 4.3013 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2528 loss: 1.2528 2022/10/14 02:47:46 - mmengine - INFO - Epoch(train) [42][260/940] lr: 1.0000e-03 eta: 8:28:19 time: 0.5438 data_time: 0.0275 memory: 31836 grad_norm: 4.3001 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2983 loss: 1.2983 2022/10/14 02:47:57 - mmengine - INFO - Epoch(train) [42][280/940] lr: 1.0000e-03 eta: 8:28:08 time: 0.5466 data_time: 0.0267 memory: 31836 grad_norm: 4.3339 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.1970 loss: 1.1970 2022/10/14 02:48:08 - mmengine - INFO - Epoch(train) [42][300/940] lr: 1.0000e-03 eta: 8:27:57 time: 0.5503 data_time: 0.0237 memory: 31836 grad_norm: 4.2825 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2251 loss: 1.2251 2022/10/14 02:48:18 - mmengine - INFO - Epoch(train) [42][320/940] lr: 1.0000e-03 eta: 8:27:45 time: 0.5418 data_time: 0.0303 memory: 31836 grad_norm: 4.4410 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1399 loss: 1.1399 2022/10/14 02:48:29 - mmengine - INFO - Epoch(train) [42][340/940] lr: 1.0000e-03 eta: 8:27:34 time: 0.5466 data_time: 0.0260 memory: 31836 grad_norm: 4.4099 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1128 loss: 1.1128 2022/10/14 02:48:40 - mmengine - INFO - Epoch(train) [42][360/940] lr: 1.0000e-03 eta: 8:27:23 time: 0.5512 data_time: 0.0298 memory: 31836 grad_norm: 4.3665 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0920 loss: 1.0920 2022/10/14 02:48:51 - mmengine - INFO - Epoch(train) [42][380/940] lr: 1.0000e-03 eta: 8:27:12 time: 0.5499 data_time: 0.0278 memory: 31836 grad_norm: 4.4206 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1894 loss: 1.1894 2022/10/14 02:49:02 - mmengine - INFO - Epoch(train) [42][400/940] lr: 1.0000e-03 eta: 8:27:00 time: 0.5418 data_time: 0.0320 memory: 31836 grad_norm: 4.4624 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1690 loss: 1.1690 2022/10/14 02:49:13 - mmengine - INFO - Epoch(train) [42][420/940] lr: 1.0000e-03 eta: 8:26:49 time: 0.5450 data_time: 0.0239 memory: 31836 grad_norm: 4.2913 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1727 loss: 1.1727 2022/10/14 02:49:24 - mmengine - INFO - Epoch(train) [42][440/940] lr: 1.0000e-03 eta: 8:26:38 time: 0.5545 data_time: 0.0249 memory: 31836 grad_norm: 4.3220 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9650 loss: 0.9650 2022/10/14 02:49:35 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:49:35 - mmengine - INFO - Epoch(train) [42][460/940] lr: 1.0000e-03 eta: 8:26:27 time: 0.5597 data_time: 0.0326 memory: 31836 grad_norm: 4.3562 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0878 loss: 1.0878 2022/10/14 02:49:46 - mmengine - INFO - Epoch(train) [42][480/940] lr: 1.0000e-03 eta: 8:26:16 time: 0.5531 data_time: 0.0244 memory: 31836 grad_norm: 4.4008 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1490 loss: 1.1490 2022/10/14 02:49:58 - mmengine - INFO - Epoch(train) [42][500/940] lr: 1.0000e-03 eta: 8:26:06 time: 0.5627 data_time: 0.0336 memory: 31836 grad_norm: 4.3649 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1173 loss: 1.1173 2022/10/14 02:50:09 - mmengine - INFO - Epoch(train) [42][520/940] lr: 1.0000e-03 eta: 8:25:54 time: 0.5529 data_time: 0.0289 memory: 31836 grad_norm: 4.3098 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1380 loss: 1.1380 2022/10/14 02:50:20 - mmengine - INFO - Epoch(train) [42][540/940] lr: 1.0000e-03 eta: 8:25:43 time: 0.5484 data_time: 0.0315 memory: 31836 grad_norm: 4.3715 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1650 loss: 1.1650 2022/10/14 02:50:31 - mmengine - INFO - Epoch(train) [42][560/940] lr: 1.0000e-03 eta: 8:25:32 time: 0.5478 data_time: 0.0256 memory: 31836 grad_norm: 4.2257 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1360 loss: 1.1360 2022/10/14 02:50:42 - mmengine - INFO - Epoch(train) [42][580/940] lr: 1.0000e-03 eta: 8:25:21 time: 0.5599 data_time: 0.0253 memory: 31836 grad_norm: 4.4185 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1168 loss: 1.1168 2022/10/14 02:50:53 - mmengine - INFO - Epoch(train) [42][600/940] lr: 1.0000e-03 eta: 8:25:10 time: 0.5480 data_time: 0.0263 memory: 31836 grad_norm: 4.4146 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1021 loss: 1.1021 2022/10/14 02:51:04 - mmengine - INFO - Epoch(train) [42][620/940] lr: 1.0000e-03 eta: 8:24:59 time: 0.5436 data_time: 0.0263 memory: 31836 grad_norm: 4.3612 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1378 loss: 1.1378 2022/10/14 02:51:15 - mmengine - INFO - Epoch(train) [42][640/940] lr: 1.0000e-03 eta: 8:24:48 time: 0.5468 data_time: 0.0319 memory: 31836 grad_norm: 4.2900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/10/14 02:51:26 - mmengine - INFO - Epoch(train) [42][660/940] lr: 1.0000e-03 eta: 8:24:36 time: 0.5456 data_time: 0.0282 memory: 31836 grad_norm: 4.3100 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2246 loss: 1.2246 2022/10/14 02:51:36 - mmengine - INFO - Epoch(train) [42][680/940] lr: 1.0000e-03 eta: 8:24:25 time: 0.5427 data_time: 0.0300 memory: 31836 grad_norm: 4.4829 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/10/14 02:51:47 - mmengine - INFO - Epoch(train) [42][700/940] lr: 1.0000e-03 eta: 8:24:14 time: 0.5510 data_time: 0.0258 memory: 31836 grad_norm: 4.3396 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9804 loss: 0.9804 2022/10/14 02:51:58 - mmengine - INFO - Epoch(train) [42][720/940] lr: 1.0000e-03 eta: 8:24:03 time: 0.5480 data_time: 0.0273 memory: 31836 grad_norm: 4.3698 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1738 loss: 1.1738 2022/10/14 02:52:09 - mmengine - INFO - Epoch(train) [42][740/940] lr: 1.0000e-03 eta: 8:23:51 time: 0.5414 data_time: 0.0308 memory: 31836 grad_norm: 4.3202 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0964 loss: 1.0964 2022/10/14 02:52:20 - mmengine - INFO - Epoch(train) [42][760/940] lr: 1.0000e-03 eta: 8:23:40 time: 0.5520 data_time: 0.0282 memory: 31836 grad_norm: 4.2721 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1934 loss: 1.1934 2022/10/14 02:52:32 - mmengine - INFO - Epoch(train) [42][780/940] lr: 1.0000e-03 eta: 8:23:30 time: 0.5634 data_time: 0.0422 memory: 31836 grad_norm: 4.2546 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1056 loss: 1.1056 2022/10/14 02:52:43 - mmengine - INFO - Epoch(train) [42][800/940] lr: 1.0000e-03 eta: 8:23:19 time: 0.5543 data_time: 0.0305 memory: 31836 grad_norm: 4.4671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/10/14 02:52:54 - mmengine - INFO - Epoch(train) [42][820/940] lr: 1.0000e-03 eta: 8:23:08 time: 0.5515 data_time: 0.0262 memory: 31836 grad_norm: 4.3126 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1601 loss: 1.1601 2022/10/14 02:53:05 - mmengine - INFO - Epoch(train) [42][840/940] lr: 1.0000e-03 eta: 8:22:56 time: 0.5526 data_time: 0.0326 memory: 31836 grad_norm: 4.3898 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2232 loss: 1.2232 2022/10/14 02:53:16 - mmengine - INFO - Epoch(train) [42][860/940] lr: 1.0000e-03 eta: 8:22:46 time: 0.5621 data_time: 0.0282 memory: 31836 grad_norm: 4.3815 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1663 loss: 1.1663 2022/10/14 02:53:27 - mmengine - INFO - Epoch(train) [42][880/940] lr: 1.0000e-03 eta: 8:22:35 time: 0.5625 data_time: 0.0238 memory: 31836 grad_norm: 4.3489 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.2071 loss: 1.2071 2022/10/14 02:53:38 - mmengine - INFO - Epoch(train) [42][900/940] lr: 1.0000e-03 eta: 8:22:24 time: 0.5620 data_time: 0.0313 memory: 31836 grad_norm: 4.3668 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1608 loss: 1.1608 2022/10/14 02:53:49 - mmengine - INFO - Epoch(train) [42][920/940] lr: 1.0000e-03 eta: 8:22:13 time: 0.5510 data_time: 0.0239 memory: 31836 grad_norm: 4.3426 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2063 loss: 1.2063 2022/10/14 02:54:00 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:54:00 - mmengine - INFO - Epoch(train) [42][940/940] lr: 1.0000e-03 eta: 8:22:01 time: 0.5173 data_time: 0.0208 memory: 31836 grad_norm: 4.6947 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0919 loss: 1.0919 2022/10/14 02:54:00 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/10/14 02:54:14 - mmengine - INFO - Epoch(val) [42][20/78] eta: 0:00:36 time: 0.6372 data_time: 0.4874 memory: 3561 2022/10/14 02:54:22 - mmengine - INFO - Epoch(val) [42][40/78] eta: 0:00:16 time: 0.4327 data_time: 0.2835 memory: 3561 2022/10/14 02:54:34 - mmengine - INFO - Epoch(val) [42][60/78] eta: 0:00:10 time: 0.5914 data_time: 0.4417 memory: 3561 2022/10/14 02:54:44 - mmengine - INFO - Epoch(val) [42][78/78] acc/top1: 0.6909 acc/top5: 0.8798 acc/mean1: 0.6908 2022/10/14 02:54:44 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_41.pth is removed 2022/10/14 02:54:45 - mmengine - INFO - The best checkpoint with 0.6909 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/10/14 02:54:59 - mmengine - INFO - Epoch(train) [43][20/940] lr: 1.0000e-03 eta: 8:21:55 time: 0.7314 data_time: 0.2057 memory: 31836 grad_norm: 4.3080 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1153 loss: 1.1153 2022/10/14 02:55:11 - mmengine - INFO - Epoch(train) [43][40/940] lr: 1.0000e-03 eta: 8:21:44 time: 0.5532 data_time: 0.0255 memory: 31836 grad_norm: 4.2363 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0841 loss: 1.0841 2022/10/14 02:55:22 - mmengine - INFO - Epoch(train) [43][60/940] lr: 1.0000e-03 eta: 8:21:33 time: 0.5588 data_time: 0.0332 memory: 31836 grad_norm: 4.3781 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2122 loss: 1.2122 2022/10/14 02:55:33 - mmengine - INFO - Epoch(train) [43][80/940] lr: 1.0000e-03 eta: 8:21:22 time: 0.5511 data_time: 0.0241 memory: 31836 grad_norm: 4.4252 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.1873 loss: 1.1873 2022/10/14 02:55:44 - mmengine - INFO - Epoch(train) [43][100/940] lr: 1.0000e-03 eta: 8:21:11 time: 0.5518 data_time: 0.0274 memory: 31836 grad_norm: 4.2712 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0883 loss: 1.0883 2022/10/14 02:55:55 - mmengine - INFO - Epoch(train) [43][120/940] lr: 1.0000e-03 eta: 8:21:00 time: 0.5473 data_time: 0.0291 memory: 31836 grad_norm: 4.3416 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1580 loss: 1.1580 2022/10/14 02:56:06 - mmengine - INFO - Epoch(train) [43][140/940] lr: 1.0000e-03 eta: 8:20:48 time: 0.5413 data_time: 0.0317 memory: 31836 grad_norm: 4.3119 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1566 loss: 1.1566 2022/10/14 02:56:16 - mmengine - INFO - Epoch(train) [43][160/940] lr: 1.0000e-03 eta: 8:20:37 time: 0.5459 data_time: 0.0288 memory: 31836 grad_norm: 4.4154 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/10/14 02:56:27 - mmengine - INFO - Epoch(train) [43][180/940] lr: 1.0000e-03 eta: 8:20:26 time: 0.5470 data_time: 0.0322 memory: 31836 grad_norm: 4.3702 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0494 loss: 1.0494 2022/10/14 02:56:38 - mmengine - INFO - Epoch(train) [43][200/940] lr: 1.0000e-03 eta: 8:20:15 time: 0.5511 data_time: 0.0265 memory: 31836 grad_norm: 4.4398 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.2492 loss: 1.2492 2022/10/14 02:56:50 - mmengine - INFO - Epoch(train) [43][220/940] lr: 1.0000e-03 eta: 8:20:04 time: 0.5646 data_time: 0.0325 memory: 31836 grad_norm: 4.3762 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1656 loss: 1.1656 2022/10/14 02:57:01 - mmengine - INFO - Epoch(train) [43][240/940] lr: 1.0000e-03 eta: 8:19:53 time: 0.5491 data_time: 0.0308 memory: 31836 grad_norm: 4.2409 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9194 loss: 0.9194 2022/10/14 02:57:12 - mmengine - INFO - Epoch(train) [43][260/940] lr: 1.0000e-03 eta: 8:19:42 time: 0.5560 data_time: 0.0403 memory: 31836 grad_norm: 4.3444 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0978 loss: 1.0978 2022/10/14 02:57:23 - mmengine - INFO - Epoch(train) [43][280/940] lr: 1.0000e-03 eta: 8:19:31 time: 0.5430 data_time: 0.0303 memory: 31836 grad_norm: 4.2936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1305 loss: 1.1305 2022/10/14 02:57:34 - mmengine - INFO - Epoch(train) [43][300/940] lr: 1.0000e-03 eta: 8:19:20 time: 0.5518 data_time: 0.0308 memory: 31836 grad_norm: 4.3318 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0942 loss: 1.0942 2022/10/14 02:57:45 - mmengine - INFO - Epoch(train) [43][320/940] lr: 1.0000e-03 eta: 8:19:09 time: 0.5547 data_time: 0.0283 memory: 31836 grad_norm: 4.3596 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2093 loss: 1.2093 2022/10/14 02:57:56 - mmengine - INFO - Epoch(train) [43][340/940] lr: 1.0000e-03 eta: 8:18:57 time: 0.5478 data_time: 0.0249 memory: 31836 grad_norm: 4.3820 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0609 loss: 1.0609 2022/10/14 02:58:07 - mmengine - INFO - Epoch(train) [43][360/940] lr: 1.0000e-03 eta: 8:18:46 time: 0.5450 data_time: 0.0241 memory: 31836 grad_norm: 4.4801 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2373 loss: 1.2373 2022/10/14 02:58:18 - mmengine - INFO - Epoch(train) [43][380/940] lr: 1.0000e-03 eta: 8:18:35 time: 0.5436 data_time: 0.0224 memory: 31836 grad_norm: 4.4056 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1248 loss: 1.1248 2022/10/14 02:58:28 - mmengine - INFO - Epoch(train) [43][400/940] lr: 1.0000e-03 eta: 8:18:24 time: 0.5452 data_time: 0.0301 memory: 31836 grad_norm: 4.2656 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.1448 loss: 1.1448 2022/10/14 02:58:39 - mmengine - INFO - Epoch(train) [43][420/940] lr: 1.0000e-03 eta: 8:18:12 time: 0.5445 data_time: 0.0262 memory: 31836 grad_norm: 4.2805 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1526 loss: 1.1526 2022/10/14 02:58:50 - mmengine - INFO - Epoch(train) [43][440/940] lr: 1.0000e-03 eta: 8:18:01 time: 0.5564 data_time: 0.0256 memory: 31836 grad_norm: 4.3292 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1753 loss: 1.1753 2022/10/14 02:59:01 - mmengine - INFO - Epoch(train) [43][460/940] lr: 1.0000e-03 eta: 8:17:50 time: 0.5439 data_time: 0.0242 memory: 31836 grad_norm: 4.3664 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0884 loss: 1.0884 2022/10/14 02:59:12 - mmengine - INFO - Epoch(train) [43][480/940] lr: 1.0000e-03 eta: 8:17:39 time: 0.5390 data_time: 0.0299 memory: 31836 grad_norm: 4.4464 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2041 loss: 1.2041 2022/10/14 02:59:23 - mmengine - INFO - Epoch(train) [43][500/940] lr: 1.0000e-03 eta: 8:17:27 time: 0.5482 data_time: 0.0243 memory: 31836 grad_norm: 4.3209 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2440 loss: 1.2440 2022/10/14 02:59:34 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 02:59:34 - mmengine - INFO - Epoch(train) [43][520/940] lr: 1.0000e-03 eta: 8:17:16 time: 0.5415 data_time: 0.0272 memory: 31836 grad_norm: 4.4090 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1205 loss: 1.1205 2022/10/14 02:59:45 - mmengine - INFO - Epoch(train) [43][540/940] lr: 1.0000e-03 eta: 8:17:05 time: 0.5365 data_time: 0.0278 memory: 31836 grad_norm: 4.3946 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0887 loss: 1.0887 2022/10/14 02:59:56 - mmengine - INFO - Epoch(train) [43][560/940] lr: 1.0000e-03 eta: 8:16:53 time: 0.5486 data_time: 0.0315 memory: 31836 grad_norm: 4.4238 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0799 loss: 1.0799 2022/10/14 03:00:07 - mmengine - INFO - Epoch(train) [43][580/940] lr: 1.0000e-03 eta: 8:16:43 time: 0.5558 data_time: 0.0280 memory: 31836 grad_norm: 4.3685 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9884 loss: 0.9884 2022/10/14 03:00:18 - mmengine - INFO - Epoch(train) [43][600/940] lr: 1.0000e-03 eta: 8:16:31 time: 0.5527 data_time: 0.0268 memory: 31836 grad_norm: 4.3296 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1646 loss: 1.1646 2022/10/14 03:00:29 - mmengine - INFO - Epoch(train) [43][620/940] lr: 1.0000e-03 eta: 8:16:20 time: 0.5423 data_time: 0.0307 memory: 31836 grad_norm: 4.4605 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1489 loss: 1.1489 2022/10/14 03:00:40 - mmengine - INFO - Epoch(train) [43][640/940] lr: 1.0000e-03 eta: 8:16:09 time: 0.5451 data_time: 0.0252 memory: 31836 grad_norm: 4.4722 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1037 loss: 1.1037 2022/10/14 03:00:50 - mmengine - INFO - Epoch(train) [43][660/940] lr: 1.0000e-03 eta: 8:15:58 time: 0.5452 data_time: 0.0351 memory: 31836 grad_norm: 4.3609 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1047 loss: 1.1047 2022/10/14 03:01:01 - mmengine - INFO - Epoch(train) [43][680/940] lr: 1.0000e-03 eta: 8:15:46 time: 0.5391 data_time: 0.0336 memory: 31836 grad_norm: 4.4107 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1406 loss: 1.1406 2022/10/14 03:01:12 - mmengine - INFO - Epoch(train) [43][700/940] lr: 1.0000e-03 eta: 8:15:35 time: 0.5474 data_time: 0.0237 memory: 31836 grad_norm: 4.3272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/10/14 03:01:23 - mmengine - INFO - Epoch(train) [43][720/940] lr: 1.0000e-03 eta: 8:15:24 time: 0.5412 data_time: 0.0260 memory: 31836 grad_norm: 4.3118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0971 loss: 1.0971 2022/10/14 03:01:39 - mmengine - INFO - Epoch(train) [43][740/940] lr: 1.0000e-03 eta: 8:15:19 time: 0.7974 data_time: 0.2758 memory: 31836 grad_norm: 4.3732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/10/14 03:01:50 - mmengine - INFO - Epoch(train) [43][760/940] lr: 1.0000e-03 eta: 8:15:08 time: 0.5460 data_time: 0.0223 memory: 31836 grad_norm: 4.3226 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1938 loss: 1.1938 2022/10/14 03:02:01 - mmengine - INFO - Epoch(train) [43][780/940] lr: 1.0000e-03 eta: 8:14:57 time: 0.5454 data_time: 0.0324 memory: 31836 grad_norm: 4.4357 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2920 loss: 1.2920 2022/10/14 03:02:12 - mmengine - INFO - Epoch(train) [43][800/940] lr: 1.0000e-03 eta: 8:14:45 time: 0.5447 data_time: 0.0226 memory: 31836 grad_norm: 4.4452 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/10/14 03:02:23 - mmengine - INFO - Epoch(train) [43][820/940] lr: 1.0000e-03 eta: 8:14:34 time: 0.5456 data_time: 0.0270 memory: 31836 grad_norm: 4.2909 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0432 loss: 1.0432 2022/10/14 03:02:34 - mmengine - INFO - Epoch(train) [43][840/940] lr: 1.0000e-03 eta: 8:14:23 time: 0.5469 data_time: 0.0309 memory: 31836 grad_norm: 4.4017 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1859 loss: 1.1859 2022/10/14 03:02:45 - mmengine - INFO - Epoch(train) [43][860/940] lr: 1.0000e-03 eta: 8:14:12 time: 0.5695 data_time: 0.0524 memory: 31836 grad_norm: 4.4571 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2077 loss: 1.2077 2022/10/14 03:02:56 - mmengine - INFO - Epoch(train) [43][880/940] lr: 1.0000e-03 eta: 8:14:01 time: 0.5469 data_time: 0.0263 memory: 31836 grad_norm: 4.2963 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2109 loss: 1.2109 2022/10/14 03:03:07 - mmengine - INFO - Epoch(train) [43][900/940] lr: 1.0000e-03 eta: 8:13:50 time: 0.5430 data_time: 0.0282 memory: 31836 grad_norm: 4.3693 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0478 loss: 1.0478 2022/10/14 03:03:18 - mmengine - INFO - Epoch(train) [43][920/940] lr: 1.0000e-03 eta: 8:13:39 time: 0.5439 data_time: 0.0253 memory: 31836 grad_norm: 4.5121 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/10/14 03:03:28 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:03:28 - mmengine - INFO - Epoch(train) [43][940/940] lr: 1.0000e-03 eta: 8:13:27 time: 0.5149 data_time: 0.0283 memory: 31836 grad_norm: 4.6281 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2067 loss: 1.2067 2022/10/14 03:03:40 - mmengine - INFO - Epoch(val) [43][20/78] eta: 0:00:36 time: 0.6218 data_time: 0.4713 memory: 3561 2022/10/14 03:03:50 - mmengine - INFO - Epoch(val) [43][40/78] eta: 0:00:17 time: 0.4654 data_time: 0.3179 memory: 3561 2022/10/14 03:04:00 - mmengine - INFO - Epoch(val) [43][60/78] eta: 0:00:09 time: 0.5349 data_time: 0.3859 memory: 3561 2022/10/14 03:04:15 - mmengine - INFO - Epoch(val) [43][78/78] acc/top1: 0.6902 acc/top5: 0.8803 acc/mean1: 0.6901 2022/10/14 03:04:30 - mmengine - INFO - Epoch(train) [44][20/940] lr: 1.0000e-03 eta: 8:13:21 time: 0.7626 data_time: 0.2153 memory: 31836 grad_norm: 4.4566 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/10/14 03:04:41 - mmengine - INFO - Epoch(train) [44][40/940] lr: 1.0000e-03 eta: 8:13:10 time: 0.5513 data_time: 0.0288 memory: 31836 grad_norm: 4.3508 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.1411 loss: 1.1411 2022/10/14 03:04:53 - mmengine - INFO - Epoch(train) [44][60/940] lr: 1.0000e-03 eta: 8:12:59 time: 0.5628 data_time: 0.0302 memory: 31836 grad_norm: 4.3346 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1055 loss: 1.1055 2022/10/14 03:05:04 - mmengine - INFO - Epoch(train) [44][80/940] lr: 1.0000e-03 eta: 8:12:48 time: 0.5543 data_time: 0.0269 memory: 31836 grad_norm: 4.3657 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0169 loss: 1.0169 2022/10/14 03:05:15 - mmengine - INFO - Epoch(train) [44][100/940] lr: 1.0000e-03 eta: 8:12:37 time: 0.5514 data_time: 0.0268 memory: 31836 grad_norm: 4.4533 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0529 loss: 1.0529 2022/10/14 03:05:26 - mmengine - INFO - Epoch(train) [44][120/940] lr: 1.0000e-03 eta: 8:12:26 time: 0.5470 data_time: 0.0303 memory: 31836 grad_norm: 4.4619 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0258 loss: 1.0258 2022/10/14 03:05:37 - mmengine - INFO - Epoch(train) [44][140/940] lr: 1.0000e-03 eta: 8:12:15 time: 0.5489 data_time: 0.0277 memory: 31836 grad_norm: 4.3876 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0801 loss: 1.0801 2022/10/14 03:05:48 - mmengine - INFO - Epoch(train) [44][160/940] lr: 1.0000e-03 eta: 8:12:04 time: 0.5483 data_time: 0.0281 memory: 31836 grad_norm: 4.2099 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1201 loss: 1.1201 2022/10/14 03:05:59 - mmengine - INFO - Epoch(train) [44][180/940] lr: 1.0000e-03 eta: 8:11:52 time: 0.5464 data_time: 0.0287 memory: 31836 grad_norm: 4.2369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/10/14 03:06:10 - mmengine - INFO - Epoch(train) [44][200/940] lr: 1.0000e-03 eta: 8:11:41 time: 0.5509 data_time: 0.0284 memory: 31836 grad_norm: 4.4483 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3063 loss: 1.3063 2022/10/14 03:06:21 - mmengine - INFO - Epoch(train) [44][220/940] lr: 1.0000e-03 eta: 8:11:30 time: 0.5463 data_time: 0.0243 memory: 31836 grad_norm: 4.4304 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2244 loss: 1.2244 2022/10/14 03:06:32 - mmengine - INFO - Epoch(train) [44][240/940] lr: 1.0000e-03 eta: 8:11:19 time: 0.5524 data_time: 0.0339 memory: 31836 grad_norm: 4.3716 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.1448 loss: 1.1448 2022/10/14 03:06:43 - mmengine - INFO - Epoch(train) [44][260/940] lr: 1.0000e-03 eta: 8:11:08 time: 0.5577 data_time: 0.0243 memory: 31836 grad_norm: 4.4309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1068 loss: 1.1068 2022/10/14 03:06:54 - mmengine - INFO - Epoch(train) [44][280/940] lr: 1.0000e-03 eta: 8:10:57 time: 0.5544 data_time: 0.0238 memory: 31836 grad_norm: 4.3669 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1360 loss: 1.1360 2022/10/14 03:07:05 - mmengine - INFO - Epoch(train) [44][300/940] lr: 1.0000e-03 eta: 8:10:46 time: 0.5456 data_time: 0.0300 memory: 31836 grad_norm: 4.4265 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1526 loss: 1.1526 2022/10/14 03:07:16 - mmengine - INFO - Epoch(train) [44][320/940] lr: 1.0000e-03 eta: 8:10:35 time: 0.5479 data_time: 0.0230 memory: 31836 grad_norm: 4.3637 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2470 loss: 1.2470 2022/10/14 03:07:27 - mmengine - INFO - Epoch(train) [44][340/940] lr: 1.0000e-03 eta: 8:10:23 time: 0.5470 data_time: 0.0268 memory: 31836 grad_norm: 4.4536 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1118 loss: 1.1118 2022/10/14 03:07:38 - mmengine - INFO - Epoch(train) [44][360/940] lr: 1.0000e-03 eta: 8:10:12 time: 0.5519 data_time: 0.0249 memory: 31836 grad_norm: 4.3209 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1631 loss: 1.1631 2022/10/14 03:07:49 - mmengine - INFO - Epoch(train) [44][380/940] lr: 1.0000e-03 eta: 8:10:01 time: 0.5502 data_time: 0.0293 memory: 31836 grad_norm: 4.4564 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1377 loss: 1.1377 2022/10/14 03:08:00 - mmengine - INFO - Epoch(train) [44][400/940] lr: 1.0000e-03 eta: 8:09:50 time: 0.5493 data_time: 0.0273 memory: 31836 grad_norm: 4.3870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0317 loss: 1.0317 2022/10/14 03:08:11 - mmengine - INFO - Epoch(train) [44][420/940] lr: 1.0000e-03 eta: 8:09:39 time: 0.5409 data_time: 0.0268 memory: 31836 grad_norm: 4.4692 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9516 loss: 0.9516 2022/10/14 03:08:22 - mmengine - INFO - Epoch(train) [44][440/940] lr: 1.0000e-03 eta: 8:09:28 time: 0.5551 data_time: 0.0303 memory: 31836 grad_norm: 4.5216 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2215 loss: 1.2215 2022/10/14 03:08:33 - mmengine - INFO - Epoch(train) [44][460/940] lr: 1.0000e-03 eta: 8:09:17 time: 0.5479 data_time: 0.0333 memory: 31836 grad_norm: 4.4112 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0771 loss: 1.0771 2022/10/14 03:08:44 - mmengine - INFO - Epoch(train) [44][480/940] lr: 1.0000e-03 eta: 8:09:05 time: 0.5502 data_time: 0.0283 memory: 31836 grad_norm: 4.5390 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1852 loss: 1.1852 2022/10/14 03:08:55 - mmengine - INFO - Epoch(train) [44][500/940] lr: 1.0000e-03 eta: 8:08:54 time: 0.5487 data_time: 0.0293 memory: 31836 grad_norm: 4.3744 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0772 loss: 1.0772 2022/10/14 03:09:06 - mmengine - INFO - Epoch(train) [44][520/940] lr: 1.0000e-03 eta: 8:08:43 time: 0.5500 data_time: 0.0281 memory: 31836 grad_norm: 4.5719 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1582 loss: 1.1582 2022/10/14 03:09:16 - mmengine - INFO - Epoch(train) [44][540/940] lr: 1.0000e-03 eta: 8:08:32 time: 0.5440 data_time: 0.0253 memory: 31836 grad_norm: 4.3459 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1331 loss: 1.1331 2022/10/14 03:09:27 - mmengine - INFO - Epoch(train) [44][560/940] lr: 1.0000e-03 eta: 8:08:21 time: 0.5435 data_time: 0.0309 memory: 31836 grad_norm: 4.4101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1682 loss: 1.1682 2022/10/14 03:09:38 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:09:38 - mmengine - INFO - Epoch(train) [44][580/940] lr: 1.0000e-03 eta: 8:08:09 time: 0.5482 data_time: 0.0305 memory: 31836 grad_norm: 4.3448 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0815 loss: 1.0815 2022/10/14 03:09:49 - mmengine - INFO - Epoch(train) [44][600/940] lr: 1.0000e-03 eta: 8:07:58 time: 0.5453 data_time: 0.0295 memory: 31836 grad_norm: 4.5978 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1860 loss: 1.1860 2022/10/14 03:10:00 - mmengine - INFO - Epoch(train) [44][620/940] lr: 1.0000e-03 eta: 8:07:47 time: 0.5464 data_time: 0.0250 memory: 31836 grad_norm: 4.2607 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0308 loss: 1.0308 2022/10/14 03:10:11 - mmengine - INFO - Epoch(train) [44][640/940] lr: 1.0000e-03 eta: 8:07:36 time: 0.5495 data_time: 0.0369 memory: 31836 grad_norm: 4.3991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0563 loss: 1.0563 2022/10/14 03:10:22 - mmengine - INFO - Epoch(train) [44][660/940] lr: 1.0000e-03 eta: 8:07:25 time: 0.5431 data_time: 0.0257 memory: 31836 grad_norm: 4.3382 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.0479 loss: 1.0479 2022/10/14 03:10:33 - mmengine - INFO - Epoch(train) [44][680/940] lr: 1.0000e-03 eta: 8:07:13 time: 0.5461 data_time: 0.0313 memory: 31836 grad_norm: 4.3645 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1000 loss: 1.1000 2022/10/14 03:10:45 - mmengine - INFO - Epoch(train) [44][700/940] lr: 1.0000e-03 eta: 8:07:03 time: 0.5948 data_time: 0.0239 memory: 31836 grad_norm: 4.3272 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0550 loss: 1.0550 2022/10/14 03:10:56 - mmengine - INFO - Epoch(train) [44][720/940] lr: 1.0000e-03 eta: 8:06:52 time: 0.5536 data_time: 0.0278 memory: 31836 grad_norm: 4.4250 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1620 loss: 1.1620 2022/10/14 03:11:07 - mmengine - INFO - Epoch(train) [44][740/940] lr: 1.0000e-03 eta: 8:06:41 time: 0.5562 data_time: 0.0355 memory: 31836 grad_norm: 4.5687 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2126 loss: 1.2126 2022/10/14 03:11:18 - mmengine - INFO - Epoch(train) [44][760/940] lr: 1.0000e-03 eta: 8:06:30 time: 0.5474 data_time: 0.0264 memory: 31836 grad_norm: 4.4104 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0407 loss: 1.0407 2022/10/14 03:11:29 - mmengine - INFO - Epoch(train) [44][780/940] lr: 1.0000e-03 eta: 8:06:19 time: 0.5476 data_time: 0.0266 memory: 31836 grad_norm: 4.4128 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0373 loss: 1.0373 2022/10/14 03:11:49 - mmengine - INFO - Epoch(train) [44][800/940] lr: 1.0000e-03 eta: 8:06:20 time: 1.0269 data_time: 0.0263 memory: 31836 grad_norm: 4.4535 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0950 loss: 1.0950 2022/10/14 03:12:01 - mmengine - INFO - Epoch(train) [44][820/940] lr: 1.0000e-03 eta: 8:06:09 time: 0.5572 data_time: 0.0287 memory: 31836 grad_norm: 4.2578 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0554 loss: 1.0554 2022/10/14 03:12:11 - mmengine - INFO - Epoch(train) [44][840/940] lr: 1.0000e-03 eta: 8:05:58 time: 0.5464 data_time: 0.0249 memory: 31836 grad_norm: 4.4697 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1625 loss: 1.1625 2022/10/14 03:12:22 - mmengine - INFO - Epoch(train) [44][860/940] lr: 1.0000e-03 eta: 8:05:47 time: 0.5424 data_time: 0.0320 memory: 31836 grad_norm: 4.4904 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0951 loss: 1.0951 2022/10/14 03:12:33 - mmengine - INFO - Epoch(train) [44][880/940] lr: 1.0000e-03 eta: 8:05:35 time: 0.5442 data_time: 0.0237 memory: 31836 grad_norm: 4.5110 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0363 loss: 1.0363 2022/10/14 03:12:44 - mmengine - INFO - Epoch(train) [44][900/940] lr: 1.0000e-03 eta: 8:05:24 time: 0.5439 data_time: 0.0284 memory: 31836 grad_norm: 4.3523 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0916 loss: 1.0916 2022/10/14 03:12:55 - mmengine - INFO - Epoch(train) [44][920/940] lr: 1.0000e-03 eta: 8:05:13 time: 0.5459 data_time: 0.0305 memory: 31836 grad_norm: 4.3862 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0189 loss: 1.0189 2022/10/14 03:13:05 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:13:05 - mmengine - INFO - Epoch(train) [44][940/940] lr: 1.0000e-03 eta: 8:05:01 time: 0.5125 data_time: 0.0228 memory: 31836 grad_norm: 4.7763 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0821 loss: 1.0821 2022/10/14 03:13:18 - mmengine - INFO - Epoch(val) [44][20/78] eta: 0:00:35 time: 0.6156 data_time: 0.4636 memory: 3561 2022/10/14 03:13:27 - mmengine - INFO - Epoch(val) [44][40/78] eta: 0:00:17 time: 0.4721 data_time: 0.3250 memory: 3561 2022/10/14 03:13:38 - mmengine - INFO - Epoch(val) [44][60/78] eta: 0:00:10 time: 0.5560 data_time: 0.4049 memory: 3561 2022/10/14 03:13:51 - mmengine - INFO - Epoch(val) [44][78/78] acc/top1: 0.6911 acc/top5: 0.8803 acc/mean1: 0.6910 2022/10/14 03:13:51 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_42.pth is removed 2022/10/14 03:13:52 - mmengine - INFO - The best checkpoint with 0.6911 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/10/14 03:14:07 - mmengine - INFO - Epoch(train) [45][20/940] lr: 1.0000e-03 eta: 8:04:55 time: 0.7509 data_time: 0.2188 memory: 31836 grad_norm: 4.3265 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1297 loss: 1.1297 2022/10/14 03:14:18 - mmengine - INFO - Epoch(train) [45][40/940] lr: 1.0000e-03 eta: 8:04:44 time: 0.5528 data_time: 0.0272 memory: 31836 grad_norm: 4.5251 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1924 loss: 1.1924 2022/10/14 03:14:29 - mmengine - INFO - Epoch(train) [45][60/940] lr: 1.0000e-03 eta: 8:04:33 time: 0.5549 data_time: 0.0278 memory: 31836 grad_norm: 4.3852 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0520 loss: 1.0520 2022/10/14 03:14:41 - mmengine - INFO - Epoch(train) [45][80/940] lr: 1.0000e-03 eta: 8:04:23 time: 0.6200 data_time: 0.1014 memory: 31836 grad_norm: 4.4169 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0679 loss: 1.0679 2022/10/14 03:14:53 - mmengine - INFO - Epoch(train) [45][100/940] lr: 1.0000e-03 eta: 8:04:13 time: 0.5701 data_time: 0.0473 memory: 31836 grad_norm: 4.4313 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0924 loss: 1.0924 2022/10/14 03:15:04 - mmengine - INFO - Epoch(train) [45][120/940] lr: 1.0000e-03 eta: 8:04:02 time: 0.5549 data_time: 0.0284 memory: 31836 grad_norm: 4.4696 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1331 loss: 1.1331 2022/10/14 03:15:15 - mmengine - INFO - Epoch(train) [45][140/940] lr: 1.0000e-03 eta: 8:03:51 time: 0.5527 data_time: 0.0430 memory: 31836 grad_norm: 4.4280 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2134 loss: 1.2134 2022/10/14 03:15:26 - mmengine - INFO - Epoch(train) [45][160/940] lr: 1.0000e-03 eta: 8:03:39 time: 0.5464 data_time: 0.0238 memory: 31836 grad_norm: 4.5323 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/10/14 03:15:37 - mmengine - INFO - Epoch(train) [45][180/940] lr: 1.0000e-03 eta: 8:03:29 time: 0.5624 data_time: 0.0313 memory: 31836 grad_norm: 4.4433 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0638 loss: 1.0638 2022/10/14 03:15:48 - mmengine - INFO - Epoch(train) [45][200/940] lr: 1.0000e-03 eta: 8:03:17 time: 0.5492 data_time: 0.0273 memory: 31836 grad_norm: 4.4205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1951 loss: 1.1951 2022/10/14 03:15:59 - mmengine - INFO - Epoch(train) [45][220/940] lr: 1.0000e-03 eta: 8:03:06 time: 0.5513 data_time: 0.0315 memory: 31836 grad_norm: 4.3447 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1443 loss: 1.1443 2022/10/14 03:16:10 - mmengine - INFO - Epoch(train) [45][240/940] lr: 1.0000e-03 eta: 8:02:55 time: 0.5464 data_time: 0.0242 memory: 31836 grad_norm: 4.4322 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1751 loss: 1.1751 2022/10/14 03:16:21 - mmengine - INFO - Epoch(train) [45][260/940] lr: 1.0000e-03 eta: 8:02:44 time: 0.5429 data_time: 0.0286 memory: 31836 grad_norm: 4.4698 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1140 loss: 1.1140 2022/10/14 03:16:32 - mmengine - INFO - Epoch(train) [45][280/940] lr: 1.0000e-03 eta: 8:02:33 time: 0.5476 data_time: 0.0285 memory: 31836 grad_norm: 4.3449 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1814 loss: 1.1814 2022/10/14 03:16:43 - mmengine - INFO - Epoch(train) [45][300/940] lr: 1.0000e-03 eta: 8:02:21 time: 0.5442 data_time: 0.0234 memory: 31836 grad_norm: 4.4193 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1848 loss: 1.1848 2022/10/14 03:16:54 - mmengine - INFO - Epoch(train) [45][320/940] lr: 1.0000e-03 eta: 8:02:10 time: 0.5472 data_time: 0.0295 memory: 31836 grad_norm: 4.3901 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0060 loss: 1.0060 2022/10/14 03:17:05 - mmengine - INFO - Epoch(train) [45][340/940] lr: 1.0000e-03 eta: 8:01:59 time: 0.5417 data_time: 0.0270 memory: 31836 grad_norm: 4.4561 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0736 loss: 1.0736 2022/10/14 03:17:16 - mmengine - INFO - Epoch(train) [45][360/940] lr: 1.0000e-03 eta: 8:01:48 time: 0.5537 data_time: 0.0268 memory: 31836 grad_norm: 4.4521 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0119 loss: 1.0119 2022/10/14 03:17:27 - mmengine - INFO - Epoch(train) [45][380/940] lr: 1.0000e-03 eta: 8:01:36 time: 0.5458 data_time: 0.0250 memory: 31836 grad_norm: 4.4709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1056 loss: 1.1056 2022/10/14 03:17:38 - mmengine - INFO - Epoch(train) [45][400/940] lr: 1.0000e-03 eta: 8:01:25 time: 0.5456 data_time: 0.0243 memory: 31836 grad_norm: 4.3774 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1372 loss: 1.1372 2022/10/14 03:17:48 - mmengine - INFO - Epoch(train) [45][420/940] lr: 1.0000e-03 eta: 8:01:14 time: 0.5464 data_time: 0.0264 memory: 31836 grad_norm: 4.3866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0995 loss: 1.0995 2022/10/14 03:17:59 - mmengine - INFO - Epoch(train) [45][440/940] lr: 1.0000e-03 eta: 8:01:03 time: 0.5433 data_time: 0.0277 memory: 31836 grad_norm: 4.5943 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1202 loss: 1.1202 2022/10/14 03:18:10 - mmengine - INFO - Epoch(train) [45][460/940] lr: 1.0000e-03 eta: 8:00:51 time: 0.5453 data_time: 0.0265 memory: 31836 grad_norm: 4.4421 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1245 loss: 1.1245 2022/10/14 03:18:21 - mmengine - INFO - Epoch(train) [45][480/940] lr: 1.0000e-03 eta: 8:00:40 time: 0.5494 data_time: 0.0287 memory: 31836 grad_norm: 4.4485 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0119 loss: 1.0119 2022/10/14 03:18:32 - mmengine - INFO - Epoch(train) [45][500/940] lr: 1.0000e-03 eta: 8:00:29 time: 0.5452 data_time: 0.0257 memory: 31836 grad_norm: 4.4757 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1105 loss: 1.1105 2022/10/14 03:18:43 - mmengine - INFO - Epoch(train) [45][520/940] lr: 1.0000e-03 eta: 8:00:18 time: 0.5432 data_time: 0.0302 memory: 31836 grad_norm: 4.5873 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/10/14 03:18:54 - mmengine - INFO - Epoch(train) [45][540/940] lr: 1.0000e-03 eta: 8:00:07 time: 0.5488 data_time: 0.0267 memory: 31836 grad_norm: 4.4224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0535 loss: 1.0535 2022/10/14 03:19:05 - mmengine - INFO - Epoch(train) [45][560/940] lr: 1.0000e-03 eta: 7:59:55 time: 0.5439 data_time: 0.0257 memory: 31836 grad_norm: 4.4888 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1278 loss: 1.1278 2022/10/14 03:19:16 - mmengine - INFO - Epoch(train) [45][580/940] lr: 1.0000e-03 eta: 7:59:44 time: 0.5430 data_time: 0.0265 memory: 31836 grad_norm: 4.5033 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0729 loss: 1.0729 2022/10/14 03:19:27 - mmengine - INFO - Epoch(train) [45][600/940] lr: 1.0000e-03 eta: 7:59:33 time: 0.5416 data_time: 0.0254 memory: 31836 grad_norm: 4.4829 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0701 loss: 1.0701 2022/10/14 03:19:37 - mmengine - INFO - Epoch(train) [45][620/940] lr: 1.0000e-03 eta: 7:59:21 time: 0.5419 data_time: 0.0268 memory: 31836 grad_norm: 4.3808 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0065 loss: 1.0065 2022/10/14 03:19:48 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:19:48 - mmengine - INFO - Epoch(train) [45][640/940] lr: 1.0000e-03 eta: 7:59:10 time: 0.5417 data_time: 0.0254 memory: 31836 grad_norm: 4.4212 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/10/14 03:19:59 - mmengine - INFO - Epoch(train) [45][660/940] lr: 1.0000e-03 eta: 7:58:59 time: 0.5385 data_time: 0.0256 memory: 31836 grad_norm: 4.3566 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9887 loss: 0.9887 2022/10/14 03:20:10 - mmengine - INFO - Epoch(train) [45][680/940] lr: 1.0000e-03 eta: 7:58:47 time: 0.5468 data_time: 0.0256 memory: 31836 grad_norm: 4.4677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1086 loss: 1.1086 2022/10/14 03:20:21 - mmengine - INFO - Epoch(train) [45][700/940] lr: 1.0000e-03 eta: 7:58:36 time: 0.5521 data_time: 0.0250 memory: 31836 grad_norm: 4.5924 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/10/14 03:20:32 - mmengine - INFO - Epoch(train) [45][720/940] lr: 1.0000e-03 eta: 7:58:25 time: 0.5437 data_time: 0.0290 memory: 31836 grad_norm: 4.5282 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1509 loss: 1.1509 2022/10/14 03:20:43 - mmengine - INFO - Epoch(train) [45][740/940] lr: 1.0000e-03 eta: 7:58:14 time: 0.5537 data_time: 0.0242 memory: 31836 grad_norm: 4.5804 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1571 loss: 1.1571 2022/10/14 03:20:54 - mmengine - INFO - Epoch(train) [45][760/940] lr: 1.0000e-03 eta: 7:58:03 time: 0.5461 data_time: 0.0264 memory: 31836 grad_norm: 4.4737 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1742 loss: 1.1742 2022/10/14 03:21:05 - mmengine - INFO - Epoch(train) [45][780/940] lr: 1.0000e-03 eta: 7:57:51 time: 0.5456 data_time: 0.0301 memory: 31836 grad_norm: 4.5293 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1557 loss: 1.1557 2022/10/14 03:21:16 - mmengine - INFO - Epoch(train) [45][800/940] lr: 1.0000e-03 eta: 7:57:40 time: 0.5472 data_time: 0.0249 memory: 31836 grad_norm: 4.4261 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0240 loss: 1.0240 2022/10/14 03:21:27 - mmengine - INFO - Epoch(train) [45][820/940] lr: 1.0000e-03 eta: 7:57:29 time: 0.5500 data_time: 0.0314 memory: 31836 grad_norm: 4.4151 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0047 loss: 1.0047 2022/10/14 03:21:39 - mmengine - INFO - Epoch(train) [45][840/940] lr: 1.0000e-03 eta: 7:57:20 time: 0.6112 data_time: 0.0261 memory: 31836 grad_norm: 4.5409 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1973 loss: 1.1973 2022/10/14 03:21:50 - mmengine - INFO - Epoch(train) [45][860/940] lr: 1.0000e-03 eta: 7:57:09 time: 0.5572 data_time: 0.0304 memory: 31836 grad_norm: 4.4923 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0852 loss: 1.0852 2022/10/14 03:22:01 - mmengine - INFO - Epoch(train) [45][880/940] lr: 1.0000e-03 eta: 7:56:58 time: 0.5521 data_time: 0.0339 memory: 31836 grad_norm: 4.4128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0215 loss: 1.0215 2022/10/14 03:22:12 - mmengine - INFO - Epoch(train) [45][900/940] lr: 1.0000e-03 eta: 7:56:46 time: 0.5455 data_time: 0.0303 memory: 31836 grad_norm: 4.5409 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1158 loss: 1.1158 2022/10/14 03:22:23 - mmengine - INFO - Epoch(train) [45][920/940] lr: 1.0000e-03 eta: 7:56:35 time: 0.5542 data_time: 0.0333 memory: 31836 grad_norm: 4.4734 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/10/14 03:22:33 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:22:33 - mmengine - INFO - Epoch(train) [45][940/940] lr: 1.0000e-03 eta: 7:56:23 time: 0.5117 data_time: 0.0263 memory: 31836 grad_norm: 4.6241 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0518 loss: 1.0518 2022/10/14 03:22:33 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/10/14 03:22:48 - mmengine - INFO - Epoch(val) [45][20/78] eta: 0:00:39 time: 0.6778 data_time: 0.5293 memory: 3561 2022/10/14 03:22:57 - mmengine - INFO - Epoch(val) [45][40/78] eta: 0:00:16 time: 0.4465 data_time: 0.2992 memory: 3561 2022/10/14 03:23:09 - mmengine - INFO - Epoch(val) [45][60/78] eta: 0:00:10 time: 0.5748 data_time: 0.4277 memory: 3561 2022/10/14 03:23:20 - mmengine - INFO - Epoch(val) [45][78/78] acc/top1: 0.6939 acc/top5: 0.8823 acc/mean1: 0.6938 2022/10/14 03:23:20 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_44.pth is removed 2022/10/14 03:23:21 - mmengine - INFO - The best checkpoint with 0.6939 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/10/14 03:23:36 - mmengine - INFO - Epoch(train) [46][20/940] lr: 1.0000e-03 eta: 7:56:17 time: 0.7435 data_time: 0.2236 memory: 31836 grad_norm: 4.4468 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0909 loss: 1.0909 2022/10/14 03:23:47 - mmengine - INFO - Epoch(train) [46][40/940] lr: 1.0000e-03 eta: 7:56:06 time: 0.5623 data_time: 0.0266 memory: 31836 grad_norm: 4.4481 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0603 loss: 1.0603 2022/10/14 03:23:59 - mmengine - INFO - Epoch(train) [46][60/940] lr: 1.0000e-03 eta: 7:55:56 time: 0.5831 data_time: 0.0312 memory: 31836 grad_norm: 4.3187 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0578 loss: 1.0578 2022/10/14 03:24:10 - mmengine - INFO - Epoch(train) [46][80/940] lr: 1.0000e-03 eta: 7:55:45 time: 0.5538 data_time: 0.0264 memory: 31836 grad_norm: 4.4808 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0564 loss: 1.0564 2022/10/14 03:24:21 - mmengine - INFO - Epoch(train) [46][100/940] lr: 1.0000e-03 eta: 7:55:34 time: 0.5598 data_time: 0.0267 memory: 31836 grad_norm: 4.4712 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0414 loss: 1.0414 2022/10/14 03:24:32 - mmengine - INFO - Epoch(train) [46][120/940] lr: 1.0000e-03 eta: 7:55:22 time: 0.5437 data_time: 0.0245 memory: 31836 grad_norm: 4.5006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1031 loss: 1.1031 2022/10/14 03:24:43 - mmengine - INFO - Epoch(train) [46][140/940] lr: 1.0000e-03 eta: 7:55:11 time: 0.5460 data_time: 0.0268 memory: 31836 grad_norm: 4.4761 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0326 loss: 1.0326 2022/10/14 03:24:54 - mmengine - INFO - Epoch(train) [46][160/940] lr: 1.0000e-03 eta: 7:55:00 time: 0.5499 data_time: 0.0256 memory: 31836 grad_norm: 4.4033 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0640 loss: 1.0640 2022/10/14 03:25:05 - mmengine - INFO - Epoch(train) [46][180/940] lr: 1.0000e-03 eta: 7:54:49 time: 0.5489 data_time: 0.0261 memory: 31836 grad_norm: 4.4712 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.1468 loss: 1.1468 2022/10/14 03:25:16 - mmengine - INFO - Epoch(train) [46][200/940] lr: 1.0000e-03 eta: 7:54:38 time: 0.5561 data_time: 0.0257 memory: 31836 grad_norm: 4.5440 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1230 loss: 1.1230 2022/10/14 03:25:27 - mmengine - INFO - Epoch(train) [46][220/940] lr: 1.0000e-03 eta: 7:54:27 time: 0.5518 data_time: 0.0236 memory: 31836 grad_norm: 4.4825 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2105 loss: 1.2105 2022/10/14 03:25:38 - mmengine - INFO - Epoch(train) [46][240/940] lr: 1.0000e-03 eta: 7:54:16 time: 0.5450 data_time: 0.0281 memory: 31836 grad_norm: 4.4652 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1496 loss: 1.1496 2022/10/14 03:25:49 - mmengine - INFO - Epoch(train) [46][260/940] lr: 1.0000e-03 eta: 7:54:04 time: 0.5487 data_time: 0.0286 memory: 31836 grad_norm: 4.4952 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1632 loss: 1.1632 2022/10/14 03:26:00 - mmengine - INFO - Epoch(train) [46][280/940] lr: 1.0000e-03 eta: 7:53:53 time: 0.5421 data_time: 0.0248 memory: 31836 grad_norm: 4.4340 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1098 loss: 1.1098 2022/10/14 03:26:11 - mmengine - INFO - Epoch(train) [46][300/940] lr: 1.0000e-03 eta: 7:53:42 time: 0.5480 data_time: 0.0278 memory: 31836 grad_norm: 4.4831 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1282 loss: 1.1282 2022/10/14 03:26:22 - mmengine - INFO - Epoch(train) [46][320/940] lr: 1.0000e-03 eta: 7:53:31 time: 0.5577 data_time: 0.0332 memory: 31836 grad_norm: 4.4685 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0656 loss: 1.0656 2022/10/14 03:26:33 - mmengine - INFO - Epoch(train) [46][340/940] lr: 1.0000e-03 eta: 7:53:20 time: 0.5406 data_time: 0.0272 memory: 31836 grad_norm: 4.5712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2042 loss: 1.2042 2022/10/14 03:26:44 - mmengine - INFO - Epoch(train) [46][360/940] lr: 1.0000e-03 eta: 7:53:08 time: 0.5436 data_time: 0.0304 memory: 31836 grad_norm: 4.5570 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1665 loss: 1.1665 2022/10/14 03:26:55 - mmengine - INFO - Epoch(train) [46][380/940] lr: 1.0000e-03 eta: 7:52:57 time: 0.5474 data_time: 0.0254 memory: 31836 grad_norm: 4.5569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0717 loss: 1.0717 2022/10/14 03:27:06 - mmengine - INFO - Epoch(train) [46][400/940] lr: 1.0000e-03 eta: 7:52:46 time: 0.5530 data_time: 0.0250 memory: 31836 grad_norm: 4.6410 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1443 loss: 1.1443 2022/10/14 03:27:17 - mmengine - INFO - Epoch(train) [46][420/940] lr: 1.0000e-03 eta: 7:52:35 time: 0.5401 data_time: 0.0236 memory: 31836 grad_norm: 4.4777 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1245 loss: 1.1245 2022/10/14 03:27:28 - mmengine - INFO - Epoch(train) [46][440/940] lr: 1.0000e-03 eta: 7:52:23 time: 0.5443 data_time: 0.0231 memory: 31836 grad_norm: 4.3258 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0362 loss: 1.0362 2022/10/14 03:27:38 - mmengine - INFO - Epoch(train) [46][460/940] lr: 1.0000e-03 eta: 7:52:12 time: 0.5465 data_time: 0.0292 memory: 31836 grad_norm: 4.4355 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0525 loss: 1.0525 2022/10/14 03:27:49 - mmengine - INFO - Epoch(train) [46][480/940] lr: 1.0000e-03 eta: 7:52:01 time: 0.5425 data_time: 0.0248 memory: 31836 grad_norm: 4.4214 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0989 loss: 1.0989 2022/10/14 03:28:00 - mmengine - INFO - Epoch(train) [46][500/940] lr: 1.0000e-03 eta: 7:51:50 time: 0.5453 data_time: 0.0308 memory: 31836 grad_norm: 4.4336 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1074 loss: 1.1074 2022/10/14 03:28:11 - mmengine - INFO - Epoch(train) [46][520/940] lr: 1.0000e-03 eta: 7:51:38 time: 0.5464 data_time: 0.0301 memory: 31836 grad_norm: 4.5204 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2000 loss: 1.2000 2022/10/14 03:28:22 - mmengine - INFO - Epoch(train) [46][540/940] lr: 1.0000e-03 eta: 7:51:27 time: 0.5455 data_time: 0.0257 memory: 31836 grad_norm: 4.4302 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2319 loss: 1.2319 2022/10/14 03:28:33 - mmengine - INFO - Epoch(train) [46][560/940] lr: 1.0000e-03 eta: 7:51:16 time: 0.5446 data_time: 0.0239 memory: 31836 grad_norm: 4.4800 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2489 loss: 1.2489 2022/10/14 03:28:44 - mmengine - INFO - Epoch(train) [46][580/940] lr: 1.0000e-03 eta: 7:51:05 time: 0.5461 data_time: 0.0312 memory: 31836 grad_norm: 4.4837 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0101 loss: 1.0101 2022/10/14 03:28:55 - mmengine - INFO - Epoch(train) [46][600/940] lr: 1.0000e-03 eta: 7:50:54 time: 0.5530 data_time: 0.0300 memory: 31836 grad_norm: 4.4913 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1224 loss: 1.1224 2022/10/14 03:29:06 - mmengine - INFO - Epoch(train) [46][620/940] lr: 1.0000e-03 eta: 7:50:42 time: 0.5430 data_time: 0.0372 memory: 31836 grad_norm: 4.4195 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/10/14 03:29:17 - mmengine - INFO - Epoch(train) [46][640/940] lr: 1.0000e-03 eta: 7:50:31 time: 0.5422 data_time: 0.0284 memory: 31836 grad_norm: 4.5392 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0967 loss: 1.0967 2022/10/14 03:29:28 - mmengine - INFO - Epoch(train) [46][660/940] lr: 1.0000e-03 eta: 7:50:20 time: 0.5479 data_time: 0.0259 memory: 31836 grad_norm: 4.4131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1586 loss: 1.1586 2022/10/14 03:29:39 - mmengine - INFO - Epoch(train) [46][680/940] lr: 1.0000e-03 eta: 7:50:09 time: 0.5479 data_time: 0.0243 memory: 31836 grad_norm: 4.5398 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0602 loss: 1.0602 2022/10/14 03:29:49 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:29:49 - mmengine - INFO - Epoch(train) [46][700/940] lr: 1.0000e-03 eta: 7:49:57 time: 0.5443 data_time: 0.0257 memory: 31836 grad_norm: 4.4949 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0440 loss: 1.0440 2022/10/14 03:30:00 - mmengine - INFO - Epoch(train) [46][720/940] lr: 1.0000e-03 eta: 7:49:46 time: 0.5455 data_time: 0.0300 memory: 31836 grad_norm: 4.6761 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0652 loss: 1.0652 2022/10/14 03:30:11 - mmengine - INFO - Epoch(train) [46][740/940] lr: 1.0000e-03 eta: 7:49:35 time: 0.5374 data_time: 0.0267 memory: 31836 grad_norm: 4.4993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/10/14 03:30:22 - mmengine - INFO - Epoch(train) [46][760/940] lr: 1.0000e-03 eta: 7:49:23 time: 0.5399 data_time: 0.0247 memory: 31836 grad_norm: 4.3684 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0564 loss: 1.0564 2022/10/14 03:30:33 - mmengine - INFO - Epoch(train) [46][780/940] lr: 1.0000e-03 eta: 7:49:12 time: 0.5523 data_time: 0.0328 memory: 31836 grad_norm: 4.6454 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1493 loss: 1.1493 2022/10/14 03:30:44 - mmengine - INFO - Epoch(train) [46][800/940] lr: 1.0000e-03 eta: 7:49:01 time: 0.5525 data_time: 0.0250 memory: 31836 grad_norm: 4.5900 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1046 loss: 1.1046 2022/10/14 03:30:55 - mmengine - INFO - Epoch(train) [46][820/940] lr: 1.0000e-03 eta: 7:48:50 time: 0.5360 data_time: 0.0274 memory: 31836 grad_norm: 4.4993 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1497 loss: 1.1497 2022/10/14 03:31:06 - mmengine - INFO - Epoch(train) [46][840/940] lr: 1.0000e-03 eta: 7:48:39 time: 0.5450 data_time: 0.0328 memory: 31836 grad_norm: 4.4723 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1085 loss: 1.1085 2022/10/14 03:31:16 - mmengine - INFO - Epoch(train) [46][860/940] lr: 1.0000e-03 eta: 7:48:27 time: 0.5428 data_time: 0.0325 memory: 31836 grad_norm: 4.4788 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1618 loss: 1.1618 2022/10/14 03:31:27 - mmengine - INFO - Epoch(train) [46][880/940] lr: 1.0000e-03 eta: 7:48:16 time: 0.5466 data_time: 0.0292 memory: 31836 grad_norm: 4.5320 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1346 loss: 1.1346 2022/10/14 03:31:38 - mmengine - INFO - Epoch(train) [46][900/940] lr: 1.0000e-03 eta: 7:48:05 time: 0.5420 data_time: 0.0323 memory: 31836 grad_norm: 4.5982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0539 loss: 1.0539 2022/10/14 03:31:49 - mmengine - INFO - Epoch(train) [46][920/940] lr: 1.0000e-03 eta: 7:47:54 time: 0.5495 data_time: 0.0278 memory: 31836 grad_norm: 4.6346 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1347 loss: 1.1347 2022/10/14 03:32:00 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:32:00 - mmengine - INFO - Epoch(train) [46][940/940] lr: 1.0000e-03 eta: 7:47:42 time: 0.5414 data_time: 0.0279 memory: 31836 grad_norm: 4.7976 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2161 loss: 1.2161 2022/10/14 03:32:13 - mmengine - INFO - Epoch(val) [46][20/78] eta: 0:00:36 time: 0.6315 data_time: 0.4809 memory: 3561 2022/10/14 03:32:22 - mmengine - INFO - Epoch(val) [46][40/78] eta: 0:00:17 time: 0.4574 data_time: 0.3086 memory: 3561 2022/10/14 03:32:33 - mmengine - INFO - Epoch(val) [46][60/78] eta: 0:00:10 time: 0.5797 data_time: 0.4311 memory: 3561 2022/10/14 03:32:44 - mmengine - INFO - Epoch(val) [46][78/78] acc/top1: 0.6920 acc/top5: 0.8817 acc/mean1: 0.6919 2022/10/14 03:33:00 - mmengine - INFO - Epoch(train) [47][20/940] lr: 1.0000e-03 eta: 7:47:37 time: 0.8040 data_time: 0.2123 memory: 31836 grad_norm: 4.3017 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0557 loss: 1.0557 2022/10/14 03:33:11 - mmengine - INFO - Epoch(train) [47][40/940] lr: 1.0000e-03 eta: 7:47:26 time: 0.5595 data_time: 0.0325 memory: 31836 grad_norm: 4.3329 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/10/14 03:33:22 - mmengine - INFO - Epoch(train) [47][60/940] lr: 1.0000e-03 eta: 7:47:15 time: 0.5603 data_time: 0.0363 memory: 31836 grad_norm: 4.6390 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2950 loss: 1.2950 2022/10/14 03:33:33 - mmengine - INFO - Epoch(train) [47][80/940] lr: 1.0000e-03 eta: 7:47:04 time: 0.5462 data_time: 0.0279 memory: 31836 grad_norm: 4.3704 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0527 loss: 1.0527 2022/10/14 03:33:44 - mmengine - INFO - Epoch(train) [47][100/940] lr: 1.0000e-03 eta: 7:46:53 time: 0.5578 data_time: 0.0305 memory: 31836 grad_norm: 4.4317 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9584 loss: 0.9584 2022/10/14 03:33:55 - mmengine - INFO - Epoch(train) [47][120/940] lr: 1.0000e-03 eta: 7:46:42 time: 0.5511 data_time: 0.0266 memory: 31836 grad_norm: 4.5064 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.1152 loss: 1.1152 2022/10/14 03:34:06 - mmengine - INFO - Epoch(train) [47][140/940] lr: 1.0000e-03 eta: 7:46:31 time: 0.5417 data_time: 0.0256 memory: 31836 grad_norm: 4.5507 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0778 loss: 1.0778 2022/10/14 03:34:17 - mmengine - INFO - Epoch(train) [47][160/940] lr: 1.0000e-03 eta: 7:46:20 time: 0.5489 data_time: 0.0234 memory: 31836 grad_norm: 4.4444 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/10/14 03:34:28 - mmengine - INFO - Epoch(train) [47][180/940] lr: 1.0000e-03 eta: 7:46:08 time: 0.5474 data_time: 0.0245 memory: 31836 grad_norm: 4.4968 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0532 loss: 1.0532 2022/10/14 03:34:39 - mmengine - INFO - Epoch(train) [47][200/940] lr: 1.0000e-03 eta: 7:45:57 time: 0.5481 data_time: 0.0290 memory: 31836 grad_norm: 4.5565 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1748 loss: 1.1748 2022/10/14 03:34:50 - mmengine - INFO - Epoch(train) [47][220/940] lr: 1.0000e-03 eta: 7:45:46 time: 0.5442 data_time: 0.0287 memory: 31836 grad_norm: 4.5470 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1557 loss: 1.1557 2022/10/14 03:35:01 - mmengine - INFO - Epoch(train) [47][240/940] lr: 1.0000e-03 eta: 7:45:35 time: 0.5487 data_time: 0.0280 memory: 31836 grad_norm: 4.5503 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1467 loss: 1.1467 2022/10/14 03:35:12 - mmengine - INFO - Epoch(train) [47][260/940] lr: 1.0000e-03 eta: 7:45:24 time: 0.5512 data_time: 0.0330 memory: 31836 grad_norm: 4.4794 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1341 loss: 1.1341 2022/10/14 03:35:23 - mmengine - INFO - Epoch(train) [47][280/940] lr: 1.0000e-03 eta: 7:45:12 time: 0.5438 data_time: 0.0246 memory: 31836 grad_norm: 4.4443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0805 loss: 1.0805 2022/10/14 03:35:34 - mmengine - INFO - Epoch(train) [47][300/940] lr: 1.0000e-03 eta: 7:45:01 time: 0.5515 data_time: 0.0245 memory: 31836 grad_norm: 4.4880 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0586 loss: 1.0586 2022/10/14 03:35:45 - mmengine - INFO - Epoch(train) [47][320/940] lr: 1.0000e-03 eta: 7:44:50 time: 0.5548 data_time: 0.0329 memory: 31836 grad_norm: 4.5954 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0699 loss: 1.0699 2022/10/14 03:35:56 - mmengine - INFO - Epoch(train) [47][340/940] lr: 1.0000e-03 eta: 7:44:39 time: 0.5481 data_time: 0.0279 memory: 31836 grad_norm: 4.4322 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0325 loss: 1.0325 2022/10/14 03:36:07 - mmengine - INFO - Epoch(train) [47][360/940] lr: 1.0000e-03 eta: 7:44:28 time: 0.5440 data_time: 0.0288 memory: 31836 grad_norm: 4.4817 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.0904 loss: 1.0904 2022/10/14 03:36:18 - mmengine - INFO - Epoch(train) [47][380/940] lr: 1.0000e-03 eta: 7:44:17 time: 0.5508 data_time: 0.0220 memory: 31836 grad_norm: 4.5748 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/10/14 03:36:29 - mmengine - INFO - Epoch(train) [47][400/940] lr: 1.0000e-03 eta: 7:44:06 time: 0.5456 data_time: 0.0293 memory: 31836 grad_norm: 4.5640 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9385 loss: 0.9385 2022/10/14 03:36:40 - mmengine - INFO - Epoch(train) [47][420/940] lr: 1.0000e-03 eta: 7:43:54 time: 0.5525 data_time: 0.0336 memory: 31836 grad_norm: 4.4922 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1380 loss: 1.1380 2022/10/14 03:36:51 - mmengine - INFO - Epoch(train) [47][440/940] lr: 1.0000e-03 eta: 7:43:43 time: 0.5411 data_time: 0.0314 memory: 31836 grad_norm: 4.4051 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0961 loss: 1.0961 2022/10/14 03:37:02 - mmengine - INFO - Epoch(train) [47][460/940] lr: 1.0000e-03 eta: 7:43:32 time: 0.5459 data_time: 0.0299 memory: 31836 grad_norm: 4.5270 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1492 loss: 1.1492 2022/10/14 03:37:12 - mmengine - INFO - Epoch(train) [47][480/940] lr: 1.0000e-03 eta: 7:43:21 time: 0.5416 data_time: 0.0256 memory: 31836 grad_norm: 4.4740 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1019 loss: 1.1019 2022/10/14 03:37:24 - mmengine - INFO - Epoch(train) [47][500/940] lr: 1.0000e-03 eta: 7:43:10 time: 0.5588 data_time: 0.0275 memory: 31836 grad_norm: 4.4820 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/10/14 03:37:35 - mmengine - INFO - Epoch(train) [47][520/940] lr: 1.0000e-03 eta: 7:42:59 time: 0.5505 data_time: 0.0283 memory: 31836 grad_norm: 4.4413 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0695 loss: 1.0695 2022/10/14 03:37:46 - mmengine - INFO - Epoch(train) [47][540/940] lr: 1.0000e-03 eta: 7:42:47 time: 0.5470 data_time: 0.0295 memory: 31836 grad_norm: 4.5683 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0969 loss: 1.0969 2022/10/14 03:37:56 - mmengine - INFO - Epoch(train) [47][560/940] lr: 1.0000e-03 eta: 7:42:36 time: 0.5469 data_time: 0.0287 memory: 31836 grad_norm: 4.4530 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0271 loss: 1.0271 2022/10/14 03:38:07 - mmengine - INFO - Epoch(train) [47][580/940] lr: 1.0000e-03 eta: 7:42:25 time: 0.5438 data_time: 0.0273 memory: 31836 grad_norm: 4.5819 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0801 loss: 1.0801 2022/10/14 03:38:18 - mmengine - INFO - Epoch(train) [47][600/940] lr: 1.0000e-03 eta: 7:42:14 time: 0.5456 data_time: 0.0281 memory: 31836 grad_norm: 4.5410 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1409 loss: 1.1409 2022/10/14 03:38:29 - mmengine - INFO - Epoch(train) [47][620/940] lr: 1.0000e-03 eta: 7:42:02 time: 0.5451 data_time: 0.0270 memory: 31836 grad_norm: 4.5272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0866 loss: 1.0866 2022/10/14 03:38:40 - mmengine - INFO - Epoch(train) [47][640/940] lr: 1.0000e-03 eta: 7:41:51 time: 0.5460 data_time: 0.0260 memory: 31836 grad_norm: 4.4140 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0582 loss: 1.0582 2022/10/14 03:38:51 - mmengine - INFO - Epoch(train) [47][660/940] lr: 1.0000e-03 eta: 7:41:40 time: 0.5520 data_time: 0.0295 memory: 31836 grad_norm: 4.6071 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1028 loss: 1.1028 2022/10/14 03:39:02 - mmengine - INFO - Epoch(train) [47][680/940] lr: 1.0000e-03 eta: 7:41:29 time: 0.5509 data_time: 0.0308 memory: 31836 grad_norm: 4.6016 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1189 loss: 1.1189 2022/10/14 03:39:13 - mmengine - INFO - Epoch(train) [47][700/940] lr: 1.0000e-03 eta: 7:41:18 time: 0.5537 data_time: 0.0247 memory: 31836 grad_norm: 4.5503 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9641 loss: 0.9641 2022/10/14 03:39:24 - mmengine - INFO - Epoch(train) [47][720/940] lr: 1.0000e-03 eta: 7:41:07 time: 0.5437 data_time: 0.0275 memory: 31836 grad_norm: 4.5670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/10/14 03:39:35 - mmengine - INFO - Epoch(train) [47][740/940] lr: 1.0000e-03 eta: 7:40:55 time: 0.5408 data_time: 0.0282 memory: 31836 grad_norm: 4.6013 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0937 loss: 1.0937 2022/10/14 03:39:46 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:39:46 - mmengine - INFO - Epoch(train) [47][760/940] lr: 1.0000e-03 eta: 7:40:44 time: 0.5479 data_time: 0.0265 memory: 31836 grad_norm: 4.5150 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0529 loss: 1.0529 2022/10/14 03:39:57 - mmengine - INFO - Epoch(train) [47][780/940] lr: 1.0000e-03 eta: 7:40:33 time: 0.5527 data_time: 0.0238 memory: 31836 grad_norm: 4.4764 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1692 loss: 1.1692 2022/10/14 03:40:08 - mmengine - INFO - Epoch(train) [47][800/940] lr: 1.0000e-03 eta: 7:40:22 time: 0.5489 data_time: 0.0312 memory: 31836 grad_norm: 4.5055 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1235 loss: 1.1235 2022/10/14 03:40:19 - mmengine - INFO - Epoch(train) [47][820/940] lr: 1.0000e-03 eta: 7:40:11 time: 0.5424 data_time: 0.0243 memory: 31836 grad_norm: 4.5204 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1390 loss: 1.1390 2022/10/14 03:40:30 - mmengine - INFO - Epoch(train) [47][840/940] lr: 1.0000e-03 eta: 7:39:59 time: 0.5402 data_time: 0.0260 memory: 31836 grad_norm: 4.5906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2394 loss: 1.2394 2022/10/14 03:40:41 - mmengine - INFO - Epoch(train) [47][860/940] lr: 1.0000e-03 eta: 7:39:48 time: 0.5464 data_time: 0.0290 memory: 31836 grad_norm: 4.5794 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1437 loss: 1.1437 2022/10/14 03:40:52 - mmengine - INFO - Epoch(train) [47][880/940] lr: 1.0000e-03 eta: 7:39:37 time: 0.5510 data_time: 0.0249 memory: 31836 grad_norm: 4.4691 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0601 loss: 1.0601 2022/10/14 03:41:02 - mmengine - INFO - Epoch(train) [47][900/940] lr: 1.0000e-03 eta: 7:39:26 time: 0.5478 data_time: 0.0257 memory: 31836 grad_norm: 4.4458 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1087 loss: 1.1087 2022/10/14 03:41:13 - mmengine - INFO - Epoch(train) [47][920/940] lr: 1.0000e-03 eta: 7:39:15 time: 0.5488 data_time: 0.0262 memory: 31836 grad_norm: 4.5222 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1274 loss: 1.1274 2022/10/14 03:41:24 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:41:24 - mmengine - INFO - Epoch(train) [47][940/940] lr: 1.0000e-03 eta: 7:39:03 time: 0.5118 data_time: 0.0266 memory: 31836 grad_norm: 4.8595 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2143 loss: 1.2143 2022/10/14 03:41:36 - mmengine - INFO - Epoch(val) [47][20/78] eta: 0:00:35 time: 0.6200 data_time: 0.4723 memory: 3561 2022/10/14 03:41:45 - mmengine - INFO - Epoch(val) [47][40/78] eta: 0:00:16 time: 0.4408 data_time: 0.2913 memory: 3561 2022/10/14 03:41:56 - mmengine - INFO - Epoch(val) [47][60/78] eta: 0:00:10 time: 0.5716 data_time: 0.4228 memory: 3561 2022/10/14 03:42:09 - mmengine - INFO - Epoch(val) [47][78/78] acc/top1: 0.6928 acc/top5: 0.8806 acc/mean1: 0.6927 2022/10/14 03:42:27 - mmengine - INFO - Epoch(train) [48][20/940] lr: 1.0000e-03 eta: 7:39:00 time: 0.9103 data_time: 0.2193 memory: 31836 grad_norm: 4.4875 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0456 loss: 1.0456 2022/10/14 03:42:38 - mmengine - INFO - Epoch(train) [48][40/940] lr: 1.0000e-03 eta: 7:38:49 time: 0.5506 data_time: 0.0227 memory: 31836 grad_norm: 4.4854 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0769 loss: 1.0769 2022/10/14 03:42:49 - mmengine - INFO - Epoch(train) [48][60/940] lr: 1.0000e-03 eta: 7:38:37 time: 0.5426 data_time: 0.0258 memory: 31836 grad_norm: 4.5537 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0685 loss: 1.0685 2022/10/14 03:43:00 - mmengine - INFO - Epoch(train) [48][80/940] lr: 1.0000e-03 eta: 7:38:26 time: 0.5422 data_time: 0.0331 memory: 31836 grad_norm: 4.5735 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9902 loss: 0.9902 2022/10/14 03:43:11 - mmengine - INFO - Epoch(train) [48][100/940] lr: 1.0000e-03 eta: 7:38:15 time: 0.5467 data_time: 0.0284 memory: 31836 grad_norm: 4.4347 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0707 loss: 1.0707 2022/10/14 03:43:22 - mmengine - INFO - Epoch(train) [48][120/940] lr: 1.0000e-03 eta: 7:38:03 time: 0.5378 data_time: 0.0239 memory: 31836 grad_norm: 4.5967 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/10/14 03:43:33 - mmengine - INFO - Epoch(train) [48][140/940] lr: 1.0000e-03 eta: 7:37:52 time: 0.5488 data_time: 0.0273 memory: 31836 grad_norm: 4.6039 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0784 loss: 1.0784 2022/10/14 03:43:43 - mmengine - INFO - Epoch(train) [48][160/940] lr: 1.0000e-03 eta: 7:37:41 time: 0.5446 data_time: 0.0258 memory: 31836 grad_norm: 4.5934 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0580 loss: 1.0580 2022/10/14 03:43:54 - mmengine - INFO - Epoch(train) [48][180/940] lr: 1.0000e-03 eta: 7:37:30 time: 0.5493 data_time: 0.0286 memory: 31836 grad_norm: 4.4933 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0186 loss: 1.0186 2022/10/14 03:44:05 - mmengine - INFO - Epoch(train) [48][200/940] lr: 1.0000e-03 eta: 7:37:19 time: 0.5429 data_time: 0.0333 memory: 31836 grad_norm: 4.6105 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1143 loss: 1.1143 2022/10/14 03:44:16 - mmengine - INFO - Epoch(train) [48][220/940] lr: 1.0000e-03 eta: 7:37:07 time: 0.5409 data_time: 0.0302 memory: 31836 grad_norm: 4.6020 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9750 loss: 0.9750 2022/10/14 03:44:27 - mmengine - INFO - Epoch(train) [48][240/940] lr: 1.0000e-03 eta: 7:36:56 time: 0.5435 data_time: 0.0242 memory: 31836 grad_norm: 4.4573 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1000 loss: 1.1000 2022/10/14 03:44:38 - mmengine - INFO - Epoch(train) [48][260/940] lr: 1.0000e-03 eta: 7:36:45 time: 0.5414 data_time: 0.0277 memory: 31836 grad_norm: 4.5787 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9520 loss: 0.9520 2022/10/14 03:44:49 - mmengine - INFO - Epoch(train) [48][280/940] lr: 1.0000e-03 eta: 7:36:33 time: 0.5443 data_time: 0.0262 memory: 31836 grad_norm: 4.5446 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9897 loss: 0.9897 2022/10/14 03:45:00 - mmengine - INFO - Epoch(train) [48][300/940] lr: 1.0000e-03 eta: 7:36:22 time: 0.5456 data_time: 0.0279 memory: 31836 grad_norm: 4.4947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/10/14 03:45:10 - mmengine - INFO - Epoch(train) [48][320/940] lr: 1.0000e-03 eta: 7:36:11 time: 0.5418 data_time: 0.0233 memory: 31836 grad_norm: 4.5704 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0324 loss: 1.0324 2022/10/14 03:45:21 - mmengine - INFO - Epoch(train) [48][340/940] lr: 1.0000e-03 eta: 7:36:00 time: 0.5368 data_time: 0.0242 memory: 31836 grad_norm: 4.5309 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1166 loss: 1.1166 2022/10/14 03:45:32 - mmengine - INFO - Epoch(train) [48][360/940] lr: 1.0000e-03 eta: 7:35:48 time: 0.5412 data_time: 0.0242 memory: 31836 grad_norm: 4.5027 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1195 loss: 1.1195 2022/10/14 03:45:43 - mmengine - INFO - Epoch(train) [48][380/940] lr: 1.0000e-03 eta: 7:35:37 time: 0.5435 data_time: 0.0272 memory: 31836 grad_norm: 4.4301 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0296 loss: 1.0296 2022/10/14 03:45:54 - mmengine - INFO - Epoch(train) [48][400/940] lr: 1.0000e-03 eta: 7:35:26 time: 0.5491 data_time: 0.0320 memory: 31836 grad_norm: 4.5063 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/10/14 03:46:05 - mmengine - INFO - Epoch(train) [48][420/940] lr: 1.0000e-03 eta: 7:35:15 time: 0.5436 data_time: 0.0262 memory: 31836 grad_norm: 4.4505 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0269 loss: 1.0269 2022/10/14 03:46:17 - mmengine - INFO - Epoch(train) [48][440/940] lr: 1.0000e-03 eta: 7:35:04 time: 0.5937 data_time: 0.0259 memory: 31836 grad_norm: 4.5001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/10/14 03:46:28 - mmengine - INFO - Epoch(train) [48][460/940] lr: 1.0000e-03 eta: 7:34:53 time: 0.5559 data_time: 0.0335 memory: 31836 grad_norm: 4.5521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/10/14 03:46:39 - mmengine - INFO - Epoch(train) [48][480/940] lr: 1.0000e-03 eta: 7:34:42 time: 0.5378 data_time: 0.0249 memory: 31836 grad_norm: 4.5354 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1508 loss: 1.1508 2022/10/14 03:46:49 - mmengine - INFO - Epoch(train) [48][500/940] lr: 1.0000e-03 eta: 7:34:31 time: 0.5443 data_time: 0.0246 memory: 31836 grad_norm: 4.5133 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0338 loss: 1.0338 2022/10/14 03:47:00 - mmengine - INFO - Epoch(train) [48][520/940] lr: 1.0000e-03 eta: 7:34:20 time: 0.5457 data_time: 0.0276 memory: 31836 grad_norm: 4.5201 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1107 loss: 1.1107 2022/10/14 03:47:11 - mmengine - INFO - Epoch(train) [48][540/940] lr: 1.0000e-03 eta: 7:34:08 time: 0.5522 data_time: 0.0257 memory: 31836 grad_norm: 4.5336 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0153 loss: 1.0153 2022/10/14 03:47:22 - mmengine - INFO - Epoch(train) [48][560/940] lr: 1.0000e-03 eta: 7:33:57 time: 0.5487 data_time: 0.0238 memory: 31836 grad_norm: 4.5274 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0759 loss: 1.0759 2022/10/14 03:47:33 - mmengine - INFO - Epoch(train) [48][580/940] lr: 1.0000e-03 eta: 7:33:46 time: 0.5427 data_time: 0.0341 memory: 31836 grad_norm: 4.5219 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0317 loss: 1.0317 2022/10/14 03:47:44 - mmengine - INFO - Epoch(train) [48][600/940] lr: 1.0000e-03 eta: 7:33:35 time: 0.5539 data_time: 0.0306 memory: 31836 grad_norm: 4.6274 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1301 loss: 1.1301 2022/10/14 03:47:55 - mmengine - INFO - Epoch(train) [48][620/940] lr: 1.0000e-03 eta: 7:33:24 time: 0.5477 data_time: 0.0278 memory: 31836 grad_norm: 4.6068 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0259 loss: 1.0259 2022/10/14 03:48:06 - mmengine - INFO - Epoch(train) [48][640/940] lr: 1.0000e-03 eta: 7:33:13 time: 0.5446 data_time: 0.0258 memory: 31836 grad_norm: 4.5418 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.0673 loss: 1.0673 2022/10/14 03:48:17 - mmengine - INFO - Epoch(train) [48][660/940] lr: 1.0000e-03 eta: 7:33:01 time: 0.5441 data_time: 0.0255 memory: 31836 grad_norm: 4.5388 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0058 loss: 1.0058 2022/10/14 03:48:28 - mmengine - INFO - Epoch(train) [48][680/940] lr: 1.0000e-03 eta: 7:32:50 time: 0.5447 data_time: 0.0269 memory: 31836 grad_norm: 4.5881 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1547 loss: 1.1547 2022/10/14 03:48:39 - mmengine - INFO - Epoch(train) [48][700/940] lr: 1.0000e-03 eta: 7:32:39 time: 0.5498 data_time: 0.0345 memory: 31836 grad_norm: 4.4777 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 1.0771 loss: 1.0771 2022/10/14 03:48:50 - mmengine - INFO - Epoch(train) [48][720/940] lr: 1.0000e-03 eta: 7:32:28 time: 0.5416 data_time: 0.0310 memory: 31836 grad_norm: 4.4410 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1037 loss: 1.1037 2022/10/14 03:49:01 - mmengine - INFO - Epoch(train) [48][740/940] lr: 1.0000e-03 eta: 7:32:16 time: 0.5480 data_time: 0.0317 memory: 31836 grad_norm: 4.5666 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0744 loss: 1.0744 2022/10/14 03:49:12 - mmengine - INFO - Epoch(train) [48][760/940] lr: 1.0000e-03 eta: 7:32:05 time: 0.5497 data_time: 0.0293 memory: 31836 grad_norm: 4.6723 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0092 loss: 1.0092 2022/10/14 03:49:23 - mmengine - INFO - Epoch(train) [48][780/940] lr: 1.0000e-03 eta: 7:31:54 time: 0.5423 data_time: 0.0257 memory: 31836 grad_norm: 4.6088 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1155 loss: 1.1155 2022/10/14 03:49:33 - mmengine - INFO - Epoch(train) [48][800/940] lr: 1.0000e-03 eta: 7:31:43 time: 0.5433 data_time: 0.0295 memory: 31836 grad_norm: 4.5345 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0208 loss: 1.0208 2022/10/14 03:49:44 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:49:44 - mmengine - INFO - Epoch(train) [48][820/940] lr: 1.0000e-03 eta: 7:31:32 time: 0.5436 data_time: 0.0270 memory: 31836 grad_norm: 4.5210 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9762 loss: 0.9762 2022/10/14 03:49:55 - mmengine - INFO - Epoch(train) [48][840/940] lr: 1.0000e-03 eta: 7:31:20 time: 0.5442 data_time: 0.0283 memory: 31836 grad_norm: 4.4889 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1218 loss: 1.1218 2022/10/14 03:50:06 - mmengine - INFO - Epoch(train) [48][860/940] lr: 1.0000e-03 eta: 7:31:09 time: 0.5500 data_time: 0.0321 memory: 31836 grad_norm: 4.6601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1443 loss: 1.1443 2022/10/14 03:50:17 - mmengine - INFO - Epoch(train) [48][880/940] lr: 1.0000e-03 eta: 7:30:58 time: 0.5445 data_time: 0.0249 memory: 31836 grad_norm: 4.4457 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0597 loss: 1.0597 2022/10/14 03:50:28 - mmengine - INFO - Epoch(train) [48][900/940] lr: 1.0000e-03 eta: 7:30:47 time: 0.5415 data_time: 0.0266 memory: 31836 grad_norm: 4.6168 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0286 loss: 1.0286 2022/10/14 03:50:39 - mmengine - INFO - Epoch(train) [48][920/940] lr: 1.0000e-03 eta: 7:30:35 time: 0.5495 data_time: 0.0267 memory: 31836 grad_norm: 4.5797 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1169 loss: 1.1169 2022/10/14 03:50:49 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:50:49 - mmengine - INFO - Epoch(train) [48][940/940] lr: 1.0000e-03 eta: 7:30:24 time: 0.5133 data_time: 0.0258 memory: 31836 grad_norm: 4.6471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1726 loss: 1.1726 2022/10/14 03:50:49 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/10/14 03:51:03 - mmengine - INFO - Epoch(val) [48][20/78] eta: 0:00:37 time: 0.6382 data_time: 0.4903 memory: 3561 2022/10/14 03:51:12 - mmengine - INFO - Epoch(val) [48][40/78] eta: 0:00:16 time: 0.4473 data_time: 0.3011 memory: 3561 2022/10/14 03:51:23 - mmengine - INFO - Epoch(val) [48][60/78] eta: 0:00:10 time: 0.5601 data_time: 0.4117 memory: 3561 2022/10/14 03:51:35 - mmengine - INFO - Epoch(val) [48][78/78] acc/top1: 0.6936 acc/top5: 0.8828 acc/mean1: 0.6934 2022/10/14 03:51:50 - mmengine - INFO - Epoch(train) [49][20/940] lr: 1.0000e-03 eta: 7:30:17 time: 0.7686 data_time: 0.2001 memory: 31836 grad_norm: 4.5833 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1157 loss: 1.1157 2022/10/14 03:52:01 - mmengine - INFO - Epoch(train) [49][40/940] lr: 1.0000e-03 eta: 7:30:06 time: 0.5512 data_time: 0.0248 memory: 31836 grad_norm: 4.6354 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0315 loss: 1.0315 2022/10/14 03:52:13 - mmengine - INFO - Epoch(train) [49][60/940] lr: 1.0000e-03 eta: 7:29:55 time: 0.5660 data_time: 0.0311 memory: 31836 grad_norm: 4.4901 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0705 loss: 1.0705 2022/10/14 03:52:24 - mmengine - INFO - Epoch(train) [49][80/940] lr: 1.0000e-03 eta: 7:29:45 time: 0.5677 data_time: 0.0284 memory: 31836 grad_norm: 4.4437 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0002 loss: 1.0002 2022/10/14 03:52:35 - mmengine - INFO - Epoch(train) [49][100/940] lr: 1.0000e-03 eta: 7:29:34 time: 0.5539 data_time: 0.0299 memory: 31836 grad_norm: 4.5061 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9247 loss: 0.9247 2022/10/14 03:52:46 - mmengine - INFO - Epoch(train) [49][120/940] lr: 1.0000e-03 eta: 7:29:22 time: 0.5431 data_time: 0.0270 memory: 31836 grad_norm: 4.4911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/10/14 03:52:57 - mmengine - INFO - Epoch(train) [49][140/940] lr: 1.0000e-03 eta: 7:29:11 time: 0.5438 data_time: 0.0252 memory: 31836 grad_norm: 4.6150 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0802 loss: 1.0802 2022/10/14 03:53:08 - mmengine - INFO - Epoch(train) [49][160/940] lr: 1.0000e-03 eta: 7:29:00 time: 0.5428 data_time: 0.0301 memory: 31836 grad_norm: 4.5899 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0976 loss: 1.0976 2022/10/14 03:53:19 - mmengine - INFO - Epoch(train) [49][180/940] lr: 1.0000e-03 eta: 7:28:48 time: 0.5459 data_time: 0.0252 memory: 31836 grad_norm: 4.5127 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0208 loss: 1.0208 2022/10/14 03:53:29 - mmengine - INFO - Epoch(train) [49][200/940] lr: 1.0000e-03 eta: 7:28:37 time: 0.5377 data_time: 0.0262 memory: 31836 grad_norm: 4.6816 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1622 loss: 1.1622 2022/10/14 03:53:40 - mmengine - INFO - Epoch(train) [49][220/940] lr: 1.0000e-03 eta: 7:28:26 time: 0.5522 data_time: 0.0314 memory: 31836 grad_norm: 4.4909 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9923 loss: 0.9923 2022/10/14 03:53:51 - mmengine - INFO - Epoch(train) [49][240/940] lr: 1.0000e-03 eta: 7:28:15 time: 0.5525 data_time: 0.0289 memory: 31836 grad_norm: 4.5878 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1620 loss: 1.1620 2022/10/14 03:54:02 - mmengine - INFO - Epoch(train) [49][260/940] lr: 1.0000e-03 eta: 7:28:04 time: 0.5463 data_time: 0.0252 memory: 31836 grad_norm: 4.4896 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0773 loss: 1.0773 2022/10/14 03:54:13 - mmengine - INFO - Epoch(train) [49][280/940] lr: 1.0000e-03 eta: 7:27:53 time: 0.5558 data_time: 0.0279 memory: 31836 grad_norm: 4.5176 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0618 loss: 1.0618 2022/10/14 03:54:24 - mmengine - INFO - Epoch(train) [49][300/940] lr: 1.0000e-03 eta: 7:27:41 time: 0.5384 data_time: 0.0269 memory: 31836 grad_norm: 4.6146 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/10/14 03:54:35 - mmengine - INFO - Epoch(train) [49][320/940] lr: 1.0000e-03 eta: 7:27:30 time: 0.5423 data_time: 0.0260 memory: 31836 grad_norm: 4.5297 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1561 loss: 1.1561 2022/10/14 03:54:47 - mmengine - INFO - Epoch(train) [49][340/940] lr: 1.0000e-03 eta: 7:27:20 time: 0.5841 data_time: 0.0236 memory: 31836 grad_norm: 4.5565 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0604 loss: 1.0604 2022/10/14 03:54:58 - mmengine - INFO - Epoch(train) [49][360/940] lr: 1.0000e-03 eta: 7:27:09 time: 0.5463 data_time: 0.0241 memory: 31836 grad_norm: 4.5786 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0490 loss: 1.0490 2022/10/14 03:55:09 - mmengine - INFO - Epoch(train) [49][380/940] lr: 1.0000e-03 eta: 7:26:57 time: 0.5405 data_time: 0.0263 memory: 31836 grad_norm: 4.5451 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0887 loss: 1.0887 2022/10/14 03:55:19 - mmengine - INFO - Epoch(train) [49][400/940] lr: 1.0000e-03 eta: 7:26:46 time: 0.5446 data_time: 0.0333 memory: 31836 grad_norm: 4.6758 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0990 loss: 1.0990 2022/10/14 03:55:30 - mmengine - INFO - Epoch(train) [49][420/940] lr: 1.0000e-03 eta: 7:26:35 time: 0.5416 data_time: 0.0271 memory: 31836 grad_norm: 4.6577 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0451 loss: 1.0451 2022/10/14 03:55:41 - mmengine - INFO - Epoch(train) [49][440/940] lr: 1.0000e-03 eta: 7:26:24 time: 0.5501 data_time: 0.0278 memory: 31836 grad_norm: 4.5710 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0487 loss: 1.0487 2022/10/14 03:55:52 - mmengine - INFO - Epoch(train) [49][460/940] lr: 1.0000e-03 eta: 7:26:12 time: 0.5468 data_time: 0.0264 memory: 31836 grad_norm: 4.4334 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9804 loss: 0.9804 2022/10/14 03:56:03 - mmengine - INFO - Epoch(train) [49][480/940] lr: 1.0000e-03 eta: 7:26:01 time: 0.5411 data_time: 0.0318 memory: 31836 grad_norm: 4.5327 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0235 loss: 1.0235 2022/10/14 03:56:14 - mmengine - INFO - Epoch(train) [49][500/940] lr: 1.0000e-03 eta: 7:25:50 time: 0.5515 data_time: 0.0241 memory: 31836 grad_norm: 4.5963 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0957 loss: 1.0957 2022/10/14 03:56:25 - mmengine - INFO - Epoch(train) [49][520/940] lr: 1.0000e-03 eta: 7:25:39 time: 0.5474 data_time: 0.0246 memory: 31836 grad_norm: 4.4967 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0034 loss: 1.0034 2022/10/14 03:56:36 - mmengine - INFO - Epoch(train) [49][540/940] lr: 1.0000e-03 eta: 7:25:28 time: 0.5467 data_time: 0.0255 memory: 31836 grad_norm: 4.5231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9700 loss: 0.9700 2022/10/14 03:56:47 - mmengine - INFO - Epoch(train) [49][560/940] lr: 1.0000e-03 eta: 7:25:16 time: 0.5489 data_time: 0.0263 memory: 31836 grad_norm: 4.5894 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0946 loss: 1.0946 2022/10/14 03:56:58 - mmengine - INFO - Epoch(train) [49][580/940] lr: 1.0000e-03 eta: 7:25:05 time: 0.5501 data_time: 0.0271 memory: 31836 grad_norm: 4.6409 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 0.9673 loss: 0.9673 2022/10/14 03:57:09 - mmengine - INFO - Epoch(train) [49][600/940] lr: 1.0000e-03 eta: 7:24:54 time: 0.5461 data_time: 0.0338 memory: 31836 grad_norm: 4.7233 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0699 loss: 1.0699 2022/10/14 03:57:20 - mmengine - INFO - Epoch(train) [49][620/940] lr: 1.0000e-03 eta: 7:24:43 time: 0.5443 data_time: 0.0271 memory: 31836 grad_norm: 4.7282 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0732 loss: 1.0732 2022/10/14 03:57:31 - mmengine - INFO - Epoch(train) [49][640/940] lr: 1.0000e-03 eta: 7:24:32 time: 0.5420 data_time: 0.0252 memory: 31836 grad_norm: 4.5411 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.2055 loss: 1.2055 2022/10/14 03:57:42 - mmengine - INFO - Epoch(train) [49][660/940] lr: 1.0000e-03 eta: 7:24:21 time: 0.5645 data_time: 0.0258 memory: 31836 grad_norm: 4.5085 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0192 loss: 1.0192 2022/10/14 03:57:53 - mmengine - INFO - Epoch(train) [49][680/940] lr: 1.0000e-03 eta: 7:24:10 time: 0.5491 data_time: 0.0252 memory: 31836 grad_norm: 4.4943 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9771 loss: 0.9771 2022/10/14 03:58:04 - mmengine - INFO - Epoch(train) [49][700/940] lr: 1.0000e-03 eta: 7:23:58 time: 0.5486 data_time: 0.0237 memory: 31836 grad_norm: 4.5592 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0188 loss: 1.0188 2022/10/14 03:58:15 - mmengine - INFO - Epoch(train) [49][720/940] lr: 1.0000e-03 eta: 7:23:47 time: 0.5428 data_time: 0.0278 memory: 31836 grad_norm: 4.4843 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0222 loss: 1.0222 2022/10/14 03:58:26 - mmengine - INFO - Epoch(train) [49][740/940] lr: 1.0000e-03 eta: 7:23:36 time: 0.5447 data_time: 0.0259 memory: 31836 grad_norm: 4.5692 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9883 loss: 0.9883 2022/10/14 03:58:36 - mmengine - INFO - Epoch(train) [49][760/940] lr: 1.0000e-03 eta: 7:23:25 time: 0.5428 data_time: 0.0226 memory: 31836 grad_norm: 4.5140 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/10/14 03:58:47 - mmengine - INFO - Epoch(train) [49][780/940] lr: 1.0000e-03 eta: 7:23:13 time: 0.5446 data_time: 0.0263 memory: 31836 grad_norm: 4.6349 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/10/14 03:58:58 - mmengine - INFO - Epoch(train) [49][800/940] lr: 1.0000e-03 eta: 7:23:02 time: 0.5427 data_time: 0.0240 memory: 31836 grad_norm: 4.5382 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0060 loss: 1.0060 2022/10/14 03:59:09 - mmengine - INFO - Epoch(train) [49][820/940] lr: 1.0000e-03 eta: 7:22:51 time: 0.5424 data_time: 0.0252 memory: 31836 grad_norm: 4.6205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1333 loss: 1.1333 2022/10/14 03:59:20 - mmengine - INFO - Epoch(train) [49][840/940] lr: 1.0000e-03 eta: 7:22:40 time: 0.5428 data_time: 0.0280 memory: 31836 grad_norm: 4.6580 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1042 loss: 1.1042 2022/10/14 03:59:31 - mmengine - INFO - Epoch(train) [49][860/940] lr: 1.0000e-03 eta: 7:22:28 time: 0.5406 data_time: 0.0270 memory: 31836 grad_norm: 4.5664 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0351 loss: 1.0351 2022/10/14 03:59:42 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 03:59:42 - mmengine - INFO - Epoch(train) [49][880/940] lr: 1.0000e-03 eta: 7:22:17 time: 0.5514 data_time: 0.0247 memory: 31836 grad_norm: 4.4623 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0503 loss: 1.0503 2022/10/14 03:59:53 - mmengine - INFO - Epoch(train) [49][900/940] lr: 1.0000e-03 eta: 7:22:06 time: 0.5461 data_time: 0.0313 memory: 31836 grad_norm: 4.5528 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/10/14 04:00:04 - mmengine - INFO - Epoch(train) [49][920/940] lr: 1.0000e-03 eta: 7:21:55 time: 0.5633 data_time: 0.0261 memory: 31836 grad_norm: 4.4894 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9882 loss: 0.9882 2022/10/14 04:00:15 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:00:15 - mmengine - INFO - Epoch(train) [49][940/940] lr: 1.0000e-03 eta: 7:21:44 time: 0.5540 data_time: 0.0229 memory: 31836 grad_norm: 4.8595 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.1403 loss: 1.1403 2022/10/14 04:00:27 - mmengine - INFO - Epoch(val) [49][20/78] eta: 0:00:35 time: 0.6161 data_time: 0.4649 memory: 3561 2022/10/14 04:00:36 - mmengine - INFO - Epoch(val) [49][40/78] eta: 0:00:17 time: 0.4545 data_time: 0.3043 memory: 3561 2022/10/14 04:00:48 - mmengine - INFO - Epoch(val) [49][60/78] eta: 0:00:10 time: 0.5780 data_time: 0.4284 memory: 3561 2022/10/14 04:01:03 - mmengine - INFO - Epoch(val) [49][78/78] acc/top1: 0.6926 acc/top5: 0.8810 acc/mean1: 0.6925 2022/10/14 04:01:18 - mmengine - INFO - Epoch(train) [50][20/940] lr: 1.0000e-03 eta: 7:21:38 time: 0.7763 data_time: 0.2260 memory: 31836 grad_norm: 4.5431 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0005 loss: 1.0005 2022/10/14 04:01:31 - mmengine - INFO - Epoch(train) [50][40/940] lr: 1.0000e-03 eta: 7:21:28 time: 0.6320 data_time: 0.0237 memory: 31836 grad_norm: 4.5116 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0323 loss: 1.0323 2022/10/14 04:01:42 - mmengine - INFO - Epoch(train) [50][60/940] lr: 1.0000e-03 eta: 7:21:17 time: 0.5570 data_time: 0.0248 memory: 31836 grad_norm: 4.6231 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0819 loss: 1.0819 2022/10/14 04:01:53 - mmengine - INFO - Epoch(train) [50][80/940] lr: 1.0000e-03 eta: 7:21:06 time: 0.5384 data_time: 0.0240 memory: 31836 grad_norm: 4.5150 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9927 loss: 0.9927 2022/10/14 04:02:04 - mmengine - INFO - Epoch(train) [50][100/940] lr: 1.0000e-03 eta: 7:20:55 time: 0.5471 data_time: 0.0304 memory: 31836 grad_norm: 4.5623 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0721 loss: 1.0721 2022/10/14 04:02:15 - mmengine - INFO - Epoch(train) [50][120/940] lr: 1.0000e-03 eta: 7:20:44 time: 0.5509 data_time: 0.0261 memory: 31836 grad_norm: 4.7086 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9437 loss: 0.9437 2022/10/14 04:02:26 - mmengine - INFO - Epoch(train) [50][140/940] lr: 1.0000e-03 eta: 7:20:33 time: 0.5520 data_time: 0.0305 memory: 31836 grad_norm: 4.5054 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.0825 loss: 1.0825 2022/10/14 04:02:37 - mmengine - INFO - Epoch(train) [50][160/940] lr: 1.0000e-03 eta: 7:20:21 time: 0.5446 data_time: 0.0258 memory: 31836 grad_norm: 4.5730 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0385 loss: 1.0385 2022/10/14 04:02:48 - mmengine - INFO - Epoch(train) [50][180/940] lr: 1.0000e-03 eta: 7:20:10 time: 0.5443 data_time: 0.0319 memory: 31836 grad_norm: 4.5533 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0609 loss: 1.0609 2022/10/14 04:02:59 - mmengine - INFO - Epoch(train) [50][200/940] lr: 1.0000e-03 eta: 7:19:59 time: 0.5482 data_time: 0.0248 memory: 31836 grad_norm: 4.5794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0759 loss: 1.0759 2022/10/14 04:03:10 - mmengine - INFO - Epoch(train) [50][220/940] lr: 1.0000e-03 eta: 7:19:48 time: 0.5494 data_time: 0.0278 memory: 31836 grad_norm: 4.5494 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1252 loss: 1.1252 2022/10/14 04:03:20 - mmengine - INFO - Epoch(train) [50][240/940] lr: 1.0000e-03 eta: 7:19:37 time: 0.5406 data_time: 0.0296 memory: 31836 grad_norm: 4.5887 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0240 loss: 1.0240 2022/10/14 04:03:31 - mmengine - INFO - Epoch(train) [50][260/940] lr: 1.0000e-03 eta: 7:19:25 time: 0.5432 data_time: 0.0290 memory: 31836 grad_norm: 4.5729 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1021 loss: 1.1021 2022/10/14 04:03:42 - mmengine - INFO - Epoch(train) [50][280/940] lr: 1.0000e-03 eta: 7:19:14 time: 0.5520 data_time: 0.0309 memory: 31836 grad_norm: 4.6422 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1154 loss: 1.1154 2022/10/14 04:03:53 - mmengine - INFO - Epoch(train) [50][300/940] lr: 1.0000e-03 eta: 7:19:03 time: 0.5424 data_time: 0.0261 memory: 31836 grad_norm: 4.5853 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0002 loss: 1.0002 2022/10/14 04:04:04 - mmengine - INFO - Epoch(train) [50][320/940] lr: 1.0000e-03 eta: 7:18:52 time: 0.5467 data_time: 0.0332 memory: 31836 grad_norm: 4.6172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/10/14 04:04:15 - mmengine - INFO - Epoch(train) [50][340/940] lr: 1.0000e-03 eta: 7:18:40 time: 0.5409 data_time: 0.0292 memory: 31836 grad_norm: 4.5638 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0093 loss: 1.0093 2022/10/14 04:04:26 - mmengine - INFO - Epoch(train) [50][360/940] lr: 1.0000e-03 eta: 7:18:29 time: 0.5412 data_time: 0.0234 memory: 31836 grad_norm: 4.6246 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0616 loss: 1.0616 2022/10/14 04:04:37 - mmengine - INFO - Epoch(train) [50][380/940] lr: 1.0000e-03 eta: 7:18:18 time: 0.5421 data_time: 0.0298 memory: 31836 grad_norm: 4.6202 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0670 loss: 1.0670 2022/10/14 04:04:48 - mmengine - INFO - Epoch(train) [50][400/940] lr: 1.0000e-03 eta: 7:18:07 time: 0.5521 data_time: 0.0227 memory: 31836 grad_norm: 4.5704 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0071 loss: 1.0071 2022/10/14 04:04:59 - mmengine - INFO - Epoch(train) [50][420/940] lr: 1.0000e-03 eta: 7:17:56 time: 0.5493 data_time: 0.0321 memory: 31836 grad_norm: 4.6105 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9882 loss: 0.9882 2022/10/14 04:05:09 - mmengine - INFO - Epoch(train) [50][440/940] lr: 1.0000e-03 eta: 7:17:44 time: 0.5423 data_time: 0.0257 memory: 31836 grad_norm: 4.5187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0029 loss: 1.0029 2022/10/14 04:05:20 - mmengine - INFO - Epoch(train) [50][460/940] lr: 1.0000e-03 eta: 7:17:33 time: 0.5482 data_time: 0.0298 memory: 31836 grad_norm: 4.5928 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2371 loss: 1.2371 2022/10/14 04:05:32 - mmengine - INFO - Epoch(train) [50][480/940] lr: 1.0000e-03 eta: 7:17:22 time: 0.5629 data_time: 0.0322 memory: 31836 grad_norm: 4.5496 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1660 loss: 1.1660 2022/10/14 04:05:43 - mmengine - INFO - Epoch(train) [50][500/940] lr: 1.0000e-03 eta: 7:17:11 time: 0.5581 data_time: 0.0315 memory: 31836 grad_norm: 4.5152 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1357 loss: 1.1357 2022/10/14 04:05:54 - mmengine - INFO - Epoch(train) [50][520/940] lr: 1.0000e-03 eta: 7:17:00 time: 0.5462 data_time: 0.0230 memory: 31836 grad_norm: 4.5387 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0542 loss: 1.0542 2022/10/14 04:06:05 - mmengine - INFO - Epoch(train) [50][540/940] lr: 1.0000e-03 eta: 7:16:49 time: 0.5516 data_time: 0.0265 memory: 31836 grad_norm: 4.4883 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0264 loss: 1.0264 2022/10/14 04:06:16 - mmengine - INFO - Epoch(train) [50][560/940] lr: 1.0000e-03 eta: 7:16:38 time: 0.5450 data_time: 0.0329 memory: 31836 grad_norm: 4.4911 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/10/14 04:06:27 - mmengine - INFO - Epoch(train) [50][580/940] lr: 1.0000e-03 eta: 7:16:27 time: 0.5491 data_time: 0.0288 memory: 31836 grad_norm: 4.5813 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0221 loss: 1.0221 2022/10/14 04:06:38 - mmengine - INFO - Epoch(train) [50][600/940] lr: 1.0000e-03 eta: 7:16:16 time: 0.5565 data_time: 0.0276 memory: 31836 grad_norm: 4.4899 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0836 loss: 1.0836 2022/10/14 04:06:49 - mmengine - INFO - Epoch(train) [50][620/940] lr: 1.0000e-03 eta: 7:16:05 time: 0.5490 data_time: 0.0235 memory: 31836 grad_norm: 4.6180 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1525 loss: 1.1525 2022/10/14 04:07:00 - mmengine - INFO - Epoch(train) [50][640/940] lr: 1.0000e-03 eta: 7:15:54 time: 0.5549 data_time: 0.0303 memory: 31836 grad_norm: 4.5328 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0622 loss: 1.0622 2022/10/14 04:07:11 - mmengine - INFO - Epoch(train) [50][660/940] lr: 1.0000e-03 eta: 7:15:42 time: 0.5466 data_time: 0.0297 memory: 31836 grad_norm: 4.7039 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0011 loss: 1.0011 2022/10/14 04:07:22 - mmengine - INFO - Epoch(train) [50][680/940] lr: 1.0000e-03 eta: 7:15:31 time: 0.5499 data_time: 0.0331 memory: 31836 grad_norm: 4.6975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/10/14 04:07:33 - mmengine - INFO - Epoch(train) [50][700/940] lr: 1.0000e-03 eta: 7:15:20 time: 0.5493 data_time: 0.0276 memory: 31836 grad_norm: 4.5058 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0905 loss: 1.0905 2022/10/14 04:07:44 - mmengine - INFO - Epoch(train) [50][720/940] lr: 1.0000e-03 eta: 7:15:09 time: 0.5511 data_time: 0.0278 memory: 31836 grad_norm: 4.6176 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9950 loss: 0.9950 2022/10/14 04:07:55 - mmengine - INFO - Epoch(train) [50][740/940] lr: 1.0000e-03 eta: 7:14:58 time: 0.5445 data_time: 0.0284 memory: 31836 grad_norm: 4.5384 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9476 loss: 0.9476 2022/10/14 04:08:06 - mmengine - INFO - Epoch(train) [50][760/940] lr: 1.0000e-03 eta: 7:14:47 time: 0.5502 data_time: 0.0273 memory: 31836 grad_norm: 4.5720 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0495 loss: 1.0495 2022/10/14 04:08:17 - mmengine - INFO - Epoch(train) [50][780/940] lr: 1.0000e-03 eta: 7:14:36 time: 0.5521 data_time: 0.0269 memory: 31836 grad_norm: 4.7068 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9741 loss: 0.9741 2022/10/14 04:08:28 - mmengine - INFO - Epoch(train) [50][800/940] lr: 1.0000e-03 eta: 7:14:24 time: 0.5419 data_time: 0.0266 memory: 31836 grad_norm: 4.4712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0060 loss: 1.0060 2022/10/14 04:08:39 - mmengine - INFO - Epoch(train) [50][820/940] lr: 1.0000e-03 eta: 7:14:13 time: 0.5509 data_time: 0.0250 memory: 31836 grad_norm: 4.6898 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1127 loss: 1.1127 2022/10/14 04:08:49 - mmengine - INFO - Epoch(train) [50][840/940] lr: 1.0000e-03 eta: 7:14:02 time: 0.5425 data_time: 0.0237 memory: 31836 grad_norm: 4.5359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0713 loss: 1.0713 2022/10/14 04:09:00 - mmengine - INFO - Epoch(train) [50][860/940] lr: 1.0000e-03 eta: 7:13:51 time: 0.5440 data_time: 0.0238 memory: 31836 grad_norm: 4.6601 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0122 loss: 1.0122 2022/10/14 04:09:11 - mmengine - INFO - Epoch(train) [50][880/940] lr: 1.0000e-03 eta: 7:13:40 time: 0.5468 data_time: 0.0289 memory: 31836 grad_norm: 4.6550 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0974 loss: 1.0974 2022/10/14 04:09:22 - mmengine - INFO - Epoch(train) [50][900/940] lr: 1.0000e-03 eta: 7:13:28 time: 0.5492 data_time: 0.0298 memory: 31836 grad_norm: 4.6292 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9837 loss: 0.9837 2022/10/14 04:09:33 - mmengine - INFO - Epoch(train) [50][920/940] lr: 1.0000e-03 eta: 7:13:17 time: 0.5424 data_time: 0.0265 memory: 31836 grad_norm: 4.5864 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0824 loss: 1.0824 2022/10/14 04:09:43 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:09:43 - mmengine - INFO - Epoch(train) [50][940/940] lr: 1.0000e-03 eta: 7:13:05 time: 0.5101 data_time: 0.0222 memory: 31836 grad_norm: 4.8867 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1136 loss: 1.1136 2022/10/14 04:09:56 - mmengine - INFO - Epoch(val) [50][20/78] eta: 0:00:35 time: 0.6157 data_time: 0.4644 memory: 3561 2022/10/14 04:10:06 - mmengine - INFO - Epoch(val) [50][40/78] eta: 0:00:18 time: 0.4940 data_time: 0.3441 memory: 3561 2022/10/14 04:10:17 - mmengine - INFO - Epoch(val) [50][60/78] eta: 0:00:10 time: 0.5833 data_time: 0.4353 memory: 3561 2022/10/14 04:10:30 - mmengine - INFO - Epoch(val) [50][78/78] acc/top1: 0.6917 acc/top5: 0.8819 acc/mean1: 0.6915 2022/10/14 04:10:46 - mmengine - INFO - Epoch(train) [51][20/940] lr: 1.0000e-03 eta: 7:12:59 time: 0.7964 data_time: 0.1997 memory: 31836 grad_norm: 4.6696 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0965 loss: 1.0965 2022/10/14 04:10:57 - mmengine - INFO - Epoch(train) [51][40/940] lr: 1.0000e-03 eta: 7:12:48 time: 0.5533 data_time: 0.0277 memory: 31836 grad_norm: 4.6112 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0283 loss: 1.0283 2022/10/14 04:11:09 - mmengine - INFO - Epoch(train) [51][60/940] lr: 1.0000e-03 eta: 7:12:37 time: 0.5664 data_time: 0.0319 memory: 31836 grad_norm: 4.3849 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9663 loss: 0.9663 2022/10/14 04:11:20 - mmengine - INFO - Epoch(train) [51][80/940] lr: 1.0000e-03 eta: 7:12:26 time: 0.5559 data_time: 0.0266 memory: 31836 grad_norm: 4.6173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/10/14 04:11:31 - mmengine - INFO - Epoch(train) [51][100/940] lr: 1.0000e-03 eta: 7:12:15 time: 0.5571 data_time: 0.0298 memory: 31836 grad_norm: 4.5953 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0085 loss: 1.0085 2022/10/14 04:11:42 - mmengine - INFO - Epoch(train) [51][120/940] lr: 1.0000e-03 eta: 7:12:04 time: 0.5381 data_time: 0.0274 memory: 31836 grad_norm: 4.5121 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0575 loss: 1.0575 2022/10/14 04:11:53 - mmengine - INFO - Epoch(train) [51][140/940] lr: 1.0000e-03 eta: 7:11:53 time: 0.5441 data_time: 0.0299 memory: 31836 grad_norm: 4.6037 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9763 loss: 0.9763 2022/10/14 04:12:03 - mmengine - INFO - Epoch(train) [51][160/940] lr: 1.0000e-03 eta: 7:11:41 time: 0.5457 data_time: 0.0319 memory: 31836 grad_norm: 4.6284 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0542 loss: 1.0542 2022/10/14 04:12:14 - mmengine - INFO - Epoch(train) [51][180/940] lr: 1.0000e-03 eta: 7:11:30 time: 0.5525 data_time: 0.0261 memory: 31836 grad_norm: 4.5402 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0647 loss: 1.0647 2022/10/14 04:12:25 - mmengine - INFO - Epoch(train) [51][200/940] lr: 1.0000e-03 eta: 7:11:19 time: 0.5499 data_time: 0.0299 memory: 31836 grad_norm: 4.5602 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9846 loss: 0.9846 2022/10/14 04:12:36 - mmengine - INFO - Epoch(train) [51][220/940] lr: 1.0000e-03 eta: 7:11:08 time: 0.5423 data_time: 0.0274 memory: 31836 grad_norm: 4.6714 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0418 loss: 1.0418 2022/10/14 04:12:47 - mmengine - INFO - Epoch(train) [51][240/940] lr: 1.0000e-03 eta: 7:10:57 time: 0.5433 data_time: 0.0290 memory: 31836 grad_norm: 4.5470 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0581 loss: 1.0581 2022/10/14 04:12:58 - mmengine - INFO - Epoch(train) [51][260/940] lr: 1.0000e-03 eta: 7:10:46 time: 0.5449 data_time: 0.0267 memory: 31836 grad_norm: 4.6735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1890 loss: 1.1890 2022/10/14 04:13:09 - mmengine - INFO - Epoch(train) [51][280/940] lr: 1.0000e-03 eta: 7:10:34 time: 0.5472 data_time: 0.0247 memory: 31836 grad_norm: 4.5109 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0369 loss: 1.0369 2022/10/14 04:13:20 - mmengine - INFO - Epoch(train) [51][300/940] lr: 1.0000e-03 eta: 7:10:23 time: 0.5437 data_time: 0.0313 memory: 31836 grad_norm: 4.6053 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0412 loss: 1.0412 2022/10/14 04:13:31 - mmengine - INFO - Epoch(train) [51][320/940] lr: 1.0000e-03 eta: 7:10:12 time: 0.5440 data_time: 0.0250 memory: 31836 grad_norm: 4.5291 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1183 loss: 1.1183 2022/10/14 04:13:42 - mmengine - INFO - Epoch(train) [51][340/940] lr: 1.0000e-03 eta: 7:10:01 time: 0.5513 data_time: 0.0405 memory: 31836 grad_norm: 4.5994 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0389 loss: 1.0389 2022/10/14 04:13:53 - mmengine - INFO - Epoch(train) [51][360/940] lr: 1.0000e-03 eta: 7:09:50 time: 0.5486 data_time: 0.0320 memory: 31836 grad_norm: 4.5416 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0080 loss: 1.0080 2022/10/14 04:14:04 - mmengine - INFO - Epoch(train) [51][380/940] lr: 1.0000e-03 eta: 7:09:39 time: 0.5507 data_time: 0.0309 memory: 31836 grad_norm: 4.6057 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0497 loss: 1.0497 2022/10/14 04:14:15 - mmengine - INFO - Epoch(train) [51][400/940] lr: 1.0000e-03 eta: 7:09:27 time: 0.5436 data_time: 0.0302 memory: 31836 grad_norm: 4.7503 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9341 loss: 0.9341 2022/10/14 04:14:26 - mmengine - INFO - Epoch(train) [51][420/940] lr: 1.0000e-03 eta: 7:09:16 time: 0.5496 data_time: 0.0301 memory: 31836 grad_norm: 4.5994 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0575 loss: 1.0575 2022/10/14 04:14:36 - mmengine - INFO - Epoch(train) [51][440/940] lr: 1.0000e-03 eta: 7:09:05 time: 0.5400 data_time: 0.0295 memory: 31836 grad_norm: 4.5618 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0143 loss: 1.0143 2022/10/14 04:14:47 - mmengine - INFO - Epoch(train) [51][460/940] lr: 1.0000e-03 eta: 7:08:54 time: 0.5400 data_time: 0.0282 memory: 31836 grad_norm: 4.6298 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0434 loss: 1.0434 2022/10/14 04:14:58 - mmengine - INFO - Epoch(train) [51][480/940] lr: 1.0000e-03 eta: 7:08:42 time: 0.5473 data_time: 0.0264 memory: 31836 grad_norm: 4.6345 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0833 loss: 1.0833 2022/10/14 04:15:09 - mmengine - INFO - Epoch(train) [51][500/940] lr: 1.0000e-03 eta: 7:08:31 time: 0.5492 data_time: 0.0257 memory: 31836 grad_norm: 4.6241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0152 loss: 1.0152 2022/10/14 04:15:20 - mmengine - INFO - Epoch(train) [51][520/940] lr: 1.0000e-03 eta: 7:08:20 time: 0.5482 data_time: 0.0324 memory: 31836 grad_norm: 4.6150 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0597 loss: 1.0597 2022/10/14 04:15:31 - mmengine - INFO - Epoch(train) [51][540/940] lr: 1.0000e-03 eta: 7:08:09 time: 0.5444 data_time: 0.0297 memory: 31836 grad_norm: 4.6610 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0954 loss: 1.0954 2022/10/14 04:15:42 - mmengine - INFO - Epoch(train) [51][560/940] lr: 1.0000e-03 eta: 7:07:58 time: 0.5397 data_time: 0.0352 memory: 31836 grad_norm: 4.6225 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1063 loss: 1.1063 2022/10/14 04:15:53 - mmengine - INFO - Epoch(train) [51][580/940] lr: 1.0000e-03 eta: 7:07:46 time: 0.5477 data_time: 0.0255 memory: 31836 grad_norm: 4.5717 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.1623 loss: 1.1623 2022/10/14 04:16:04 - mmengine - INFO - Epoch(train) [51][600/940] lr: 1.0000e-03 eta: 7:07:35 time: 0.5480 data_time: 0.0291 memory: 31836 grad_norm: 4.4886 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9257 loss: 0.9257 2022/10/14 04:16:15 - mmengine - INFO - Epoch(train) [51][620/940] lr: 1.0000e-03 eta: 7:07:24 time: 0.5464 data_time: 0.0297 memory: 31836 grad_norm: 4.6879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0608 loss: 1.0608 2022/10/14 04:16:26 - mmengine - INFO - Epoch(train) [51][640/940] lr: 1.0000e-03 eta: 7:07:13 time: 0.5424 data_time: 0.0266 memory: 31836 grad_norm: 4.6167 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0506 loss: 1.0506 2022/10/14 04:16:37 - mmengine - INFO - Epoch(train) [51][660/940] lr: 1.0000e-03 eta: 7:07:02 time: 0.5490 data_time: 0.0264 memory: 31836 grad_norm: 4.5108 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9248 loss: 0.9248 2022/10/14 04:16:47 - mmengine - INFO - Epoch(train) [51][680/940] lr: 1.0000e-03 eta: 7:06:50 time: 0.5421 data_time: 0.0287 memory: 31836 grad_norm: 4.6517 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/10/14 04:16:58 - mmengine - INFO - Epoch(train) [51][700/940] lr: 1.0000e-03 eta: 7:06:39 time: 0.5466 data_time: 0.0314 memory: 31836 grad_norm: 4.5950 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0786 loss: 1.0786 2022/10/14 04:17:09 - mmengine - INFO - Epoch(train) [51][720/940] lr: 1.0000e-03 eta: 7:06:28 time: 0.5512 data_time: 0.0284 memory: 31836 grad_norm: 4.6921 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0990 loss: 1.0990 2022/10/14 04:17:20 - mmengine - INFO - Epoch(train) [51][740/940] lr: 1.0000e-03 eta: 7:06:17 time: 0.5471 data_time: 0.0305 memory: 31836 grad_norm: 4.6111 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1133 loss: 1.1133 2022/10/14 04:17:31 - mmengine - INFO - Epoch(train) [51][760/940] lr: 1.0000e-03 eta: 7:06:06 time: 0.5479 data_time: 0.0282 memory: 31836 grad_norm: 4.6108 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0066 loss: 1.0066 2022/10/14 04:17:42 - mmengine - INFO - Epoch(train) [51][780/940] lr: 1.0000e-03 eta: 7:05:55 time: 0.5495 data_time: 0.0269 memory: 31836 grad_norm: 4.5954 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.0380 loss: 1.0380 2022/10/14 04:17:53 - mmengine - INFO - Epoch(train) [51][800/940] lr: 1.0000e-03 eta: 7:05:43 time: 0.5448 data_time: 0.0243 memory: 31836 grad_norm: 4.8116 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1804 loss: 1.1804 2022/10/14 04:18:04 - mmengine - INFO - Epoch(train) [51][820/940] lr: 1.0000e-03 eta: 7:05:32 time: 0.5422 data_time: 0.0256 memory: 31836 grad_norm: 4.6151 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0658 loss: 1.0658 2022/10/14 04:18:15 - mmengine - INFO - Epoch(train) [51][840/940] lr: 1.0000e-03 eta: 7:05:21 time: 0.5408 data_time: 0.0272 memory: 31836 grad_norm: 4.6627 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1127 loss: 1.1127 2022/10/14 04:18:26 - mmengine - INFO - Epoch(train) [51][860/940] lr: 1.0000e-03 eta: 7:05:10 time: 0.5441 data_time: 0.0264 memory: 31836 grad_norm: 4.6547 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0477 loss: 1.0477 2022/10/14 04:18:37 - mmengine - INFO - Epoch(train) [51][880/940] lr: 1.0000e-03 eta: 7:04:58 time: 0.5455 data_time: 0.0282 memory: 31836 grad_norm: 4.5200 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9506 loss: 0.9506 2022/10/14 04:18:47 - mmengine - INFO - Epoch(train) [51][900/940] lr: 1.0000e-03 eta: 7:04:47 time: 0.5416 data_time: 0.0244 memory: 31836 grad_norm: 4.6310 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0765 loss: 1.0765 2022/10/14 04:18:58 - mmengine - INFO - Epoch(train) [51][920/940] lr: 1.0000e-03 eta: 7:04:36 time: 0.5428 data_time: 0.0273 memory: 31836 grad_norm: 4.6418 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1188 loss: 1.1188 2022/10/14 04:19:09 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:19:09 - mmengine - INFO - Epoch(train) [51][940/940] lr: 1.0000e-03 eta: 7:04:24 time: 0.5142 data_time: 0.0306 memory: 31836 grad_norm: 4.9670 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1279 loss: 1.1279 2022/10/14 04:19:09 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/10/14 04:19:22 - mmengine - INFO - Epoch(val) [51][20/78] eta: 0:00:35 time: 0.6172 data_time: 0.4691 memory: 3561 2022/10/14 04:19:32 - mmengine - INFO - Epoch(val) [51][40/78] eta: 0:00:18 time: 0.4919 data_time: 0.3446 memory: 3561 2022/10/14 04:19:43 - mmengine - INFO - Epoch(val) [51][60/78] eta: 0:00:10 time: 0.5593 data_time: 0.4112 memory: 3561 2022/10/14 04:19:52 - mmengine - INFO - Epoch(val) [51][78/78] acc/top1: 0.6930 acc/top5: 0.8797 acc/mean1: 0.6929 2022/10/14 04:20:07 - mmengine - INFO - Epoch(train) [52][20/940] lr: 1.0000e-03 eta: 7:04:17 time: 0.7465 data_time: 0.2043 memory: 31836 grad_norm: 4.6906 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9913 loss: 0.9913 2022/10/14 04:20:18 - mmengine - INFO - Epoch(train) [52][40/940] lr: 1.0000e-03 eta: 7:04:06 time: 0.5485 data_time: 0.0253 memory: 31836 grad_norm: 4.4583 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0421 loss: 1.0421 2022/10/14 04:20:30 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:20:30 - mmengine - INFO - Epoch(train) [52][60/940] lr: 1.0000e-03 eta: 7:03:55 time: 0.5852 data_time: 0.0332 memory: 31836 grad_norm: 4.5430 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1346 loss: 1.1346 2022/10/14 04:20:41 - mmengine - INFO - Epoch(train) [52][80/940] lr: 1.0000e-03 eta: 7:03:44 time: 0.5560 data_time: 0.0298 memory: 31836 grad_norm: 4.5808 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9834 loss: 0.9834 2022/10/14 04:20:52 - mmengine - INFO - Epoch(train) [52][100/940] lr: 1.0000e-03 eta: 7:03:33 time: 0.5457 data_time: 0.0266 memory: 31836 grad_norm: 4.5227 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 0.9945 loss: 0.9945 2022/10/14 04:21:03 - mmengine - INFO - Epoch(train) [52][120/940] lr: 1.0000e-03 eta: 7:03:22 time: 0.5432 data_time: 0.0349 memory: 31836 grad_norm: 4.7503 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9886 loss: 0.9886 2022/10/14 04:21:14 - mmengine - INFO - Epoch(train) [52][140/940] lr: 1.0000e-03 eta: 7:03:11 time: 0.5463 data_time: 0.0279 memory: 31836 grad_norm: 4.7240 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1428 loss: 1.1428 2022/10/14 04:21:25 - mmengine - INFO - Epoch(train) [52][160/940] lr: 1.0000e-03 eta: 7:02:59 time: 0.5459 data_time: 0.0276 memory: 31836 grad_norm: 4.6442 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9580 loss: 0.9580 2022/10/14 04:21:36 - mmengine - INFO - Epoch(train) [52][180/940] lr: 1.0000e-03 eta: 7:02:48 time: 0.5368 data_time: 0.0255 memory: 31836 grad_norm: 4.7351 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0275 loss: 1.0275 2022/10/14 04:21:46 - mmengine - INFO - Epoch(train) [52][200/940] lr: 1.0000e-03 eta: 7:02:37 time: 0.5494 data_time: 0.0286 memory: 31836 grad_norm: 4.5995 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0900 loss: 1.0900 2022/10/14 04:21:57 - mmengine - INFO - Epoch(train) [52][220/940] lr: 1.0000e-03 eta: 7:02:26 time: 0.5460 data_time: 0.0245 memory: 31836 grad_norm: 4.6442 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0590 loss: 1.0590 2022/10/14 04:22:08 - mmengine - INFO - Epoch(train) [52][240/940] lr: 1.0000e-03 eta: 7:02:15 time: 0.5472 data_time: 0.0328 memory: 31836 grad_norm: 4.7701 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/10/14 04:22:19 - mmengine - INFO - Epoch(train) [52][260/940] lr: 1.0000e-03 eta: 7:02:03 time: 0.5394 data_time: 0.0326 memory: 31836 grad_norm: 4.6470 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1588 loss: 1.1588 2022/10/14 04:22:30 - mmengine - INFO - Epoch(train) [52][280/940] lr: 1.0000e-03 eta: 7:01:52 time: 0.5504 data_time: 0.0374 memory: 31836 grad_norm: 4.5985 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9822 loss: 0.9822 2022/10/14 04:22:41 - mmengine - INFO - Epoch(train) [52][300/940] lr: 1.0000e-03 eta: 7:01:41 time: 0.5371 data_time: 0.0282 memory: 31836 grad_norm: 4.5742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0531 loss: 1.0531 2022/10/14 04:22:52 - mmengine - INFO - Epoch(train) [52][320/940] lr: 1.0000e-03 eta: 7:01:30 time: 0.5500 data_time: 0.0277 memory: 31836 grad_norm: 4.8056 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0910 loss: 1.0910 2022/10/14 04:23:03 - mmengine - INFO - Epoch(train) [52][340/940] lr: 1.0000e-03 eta: 7:01:18 time: 0.5464 data_time: 0.0278 memory: 31836 grad_norm: 4.6541 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9869 loss: 0.9869 2022/10/14 04:23:14 - mmengine - INFO - Epoch(train) [52][360/940] lr: 1.0000e-03 eta: 7:01:07 time: 0.5417 data_time: 0.0287 memory: 31836 grad_norm: 4.6485 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0428 loss: 1.0428 2022/10/14 04:23:25 - mmengine - INFO - Epoch(train) [52][380/940] lr: 1.0000e-03 eta: 7:00:56 time: 0.5450 data_time: 0.0256 memory: 31836 grad_norm: 4.6435 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0137 loss: 1.0137 2022/10/14 04:23:36 - mmengine - INFO - Epoch(train) [52][400/940] lr: 1.0000e-03 eta: 7:00:45 time: 0.5470 data_time: 0.0239 memory: 31836 grad_norm: 4.7419 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1167 loss: 1.1167 2022/10/14 04:23:46 - mmengine - INFO - Epoch(train) [52][420/940] lr: 1.0000e-03 eta: 7:00:34 time: 0.5457 data_time: 0.0224 memory: 31836 grad_norm: 4.6933 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9958 loss: 0.9958 2022/10/14 04:23:57 - mmengine - INFO - Epoch(train) [52][440/940] lr: 1.0000e-03 eta: 7:00:23 time: 0.5492 data_time: 0.0255 memory: 31836 grad_norm: 4.4998 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/10/14 04:24:08 - mmengine - INFO - Epoch(train) [52][460/940] lr: 1.0000e-03 eta: 7:00:11 time: 0.5473 data_time: 0.0319 memory: 31836 grad_norm: 4.5552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/10/14 04:24:19 - mmengine - INFO - Epoch(train) [52][480/940] lr: 1.0000e-03 eta: 7:00:00 time: 0.5529 data_time: 0.0319 memory: 31836 grad_norm: 4.5446 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9058 loss: 0.9058 2022/10/14 04:24:30 - mmengine - INFO - Epoch(train) [52][500/940] lr: 1.0000e-03 eta: 6:59:49 time: 0.5420 data_time: 0.0292 memory: 31836 grad_norm: 4.6851 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0299 loss: 1.0299 2022/10/14 04:24:41 - mmengine - INFO - Epoch(train) [52][520/940] lr: 1.0000e-03 eta: 6:59:38 time: 0.5476 data_time: 0.0245 memory: 31836 grad_norm: 4.6453 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9730 loss: 0.9730 2022/10/14 04:24:52 - mmengine - INFO - Epoch(train) [52][540/940] lr: 1.0000e-03 eta: 6:59:27 time: 0.5418 data_time: 0.0238 memory: 31836 grad_norm: 4.7214 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0571 loss: 1.0571 2022/10/14 04:25:03 - mmengine - INFO - Epoch(train) [52][560/940] lr: 1.0000e-03 eta: 6:59:15 time: 0.5365 data_time: 0.0257 memory: 31836 grad_norm: 4.6550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/10/14 04:25:14 - mmengine - INFO - Epoch(train) [52][580/940] lr: 1.0000e-03 eta: 6:59:04 time: 0.5449 data_time: 0.0268 memory: 31836 grad_norm: 4.6401 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0703 loss: 1.0703 2022/10/14 04:25:25 - mmengine - INFO - Epoch(train) [52][600/940] lr: 1.0000e-03 eta: 6:58:53 time: 0.5608 data_time: 0.0267 memory: 31836 grad_norm: 4.5135 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0489 loss: 1.0489 2022/10/14 04:25:36 - mmengine - INFO - Epoch(train) [52][620/940] lr: 1.0000e-03 eta: 6:58:42 time: 0.5468 data_time: 0.0349 memory: 31836 grad_norm: 4.7307 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1155 loss: 1.1155 2022/10/14 04:25:47 - mmengine - INFO - Epoch(train) [52][640/940] lr: 1.0000e-03 eta: 6:58:31 time: 0.5495 data_time: 0.0295 memory: 31836 grad_norm: 4.6532 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/10/14 04:25:58 - mmengine - INFO - Epoch(train) [52][660/940] lr: 1.0000e-03 eta: 6:58:20 time: 0.5496 data_time: 0.0292 memory: 31836 grad_norm: 4.6760 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0418 loss: 1.0418 2022/10/14 04:26:10 - mmengine - INFO - Epoch(train) [52][680/940] lr: 1.0000e-03 eta: 6:58:10 time: 0.5983 data_time: 0.0841 memory: 31836 grad_norm: 4.6869 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0830 loss: 1.0830 2022/10/14 04:26:21 - mmengine - INFO - Epoch(train) [52][700/940] lr: 1.0000e-03 eta: 6:57:58 time: 0.5438 data_time: 0.0283 memory: 31836 grad_norm: 4.6145 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9813 loss: 0.9813 2022/10/14 04:26:32 - mmengine - INFO - Epoch(train) [52][720/940] lr: 1.0000e-03 eta: 6:57:47 time: 0.5493 data_time: 0.0287 memory: 31836 grad_norm: 4.6721 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0044 loss: 1.0044 2022/10/14 04:26:43 - mmengine - INFO - Epoch(train) [52][740/940] lr: 1.0000e-03 eta: 6:57:36 time: 0.5422 data_time: 0.0308 memory: 31836 grad_norm: 4.7854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1306 loss: 1.1306 2022/10/14 04:26:53 - mmengine - INFO - Epoch(train) [52][760/940] lr: 1.0000e-03 eta: 6:57:25 time: 0.5402 data_time: 0.0277 memory: 31836 grad_norm: 4.6005 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0420 loss: 1.0420 2022/10/14 04:27:04 - mmengine - INFO - Epoch(train) [52][780/940] lr: 1.0000e-03 eta: 6:57:13 time: 0.5427 data_time: 0.0283 memory: 31836 grad_norm: 4.7320 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1059 loss: 1.1059 2022/10/14 04:27:15 - mmengine - INFO - Epoch(train) [52][800/940] lr: 1.0000e-03 eta: 6:57:02 time: 0.5448 data_time: 0.0231 memory: 31836 grad_norm: 4.6720 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0382 loss: 1.0382 2022/10/14 04:27:26 - mmengine - INFO - Epoch(train) [52][820/940] lr: 1.0000e-03 eta: 6:56:51 time: 0.5515 data_time: 0.0289 memory: 31836 grad_norm: 4.5235 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9569 loss: 0.9569 2022/10/14 04:27:37 - mmengine - INFO - Epoch(train) [52][840/940] lr: 1.0000e-03 eta: 6:56:40 time: 0.5428 data_time: 0.0267 memory: 31836 grad_norm: 4.6718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0919 loss: 1.0919 2022/10/14 04:27:48 - mmengine - INFO - Epoch(train) [52][860/940] lr: 1.0000e-03 eta: 6:56:29 time: 0.5454 data_time: 0.0298 memory: 31836 grad_norm: 4.6601 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 0.9999 loss: 0.9999 2022/10/14 04:27:59 - mmengine - INFO - Epoch(train) [52][880/940] lr: 1.0000e-03 eta: 6:56:17 time: 0.5446 data_time: 0.0300 memory: 31836 grad_norm: 4.5796 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9508 loss: 0.9508 2022/10/14 04:28:10 - mmengine - INFO - Epoch(train) [52][900/940] lr: 1.0000e-03 eta: 6:56:06 time: 0.5487 data_time: 0.0310 memory: 31836 grad_norm: 4.6418 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1649 loss: 1.1649 2022/10/14 04:28:21 - mmengine - INFO - Epoch(train) [52][920/940] lr: 1.0000e-03 eta: 6:55:55 time: 0.5409 data_time: 0.0247 memory: 31836 grad_norm: 4.6244 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1022 loss: 1.1022 2022/10/14 04:28:31 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:28:31 - mmengine - INFO - Epoch(train) [52][940/940] lr: 1.0000e-03 eta: 6:55:43 time: 0.5127 data_time: 0.0248 memory: 31836 grad_norm: 4.8960 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0238 loss: 1.0238 2022/10/14 04:28:44 - mmengine - INFO - Epoch(val) [52][20/78] eta: 0:00:39 time: 0.6801 data_time: 0.5279 memory: 3561 2022/10/14 04:28:53 - mmengine - INFO - Epoch(val) [52][40/78] eta: 0:00:16 time: 0.4270 data_time: 0.2800 memory: 3561 2022/10/14 04:29:05 - mmengine - INFO - Epoch(val) [52][60/78] eta: 0:00:10 time: 0.5949 data_time: 0.4465 memory: 3561 2022/10/14 04:29:14 - mmengine - INFO - Epoch(val) [52][78/78] acc/top1: 0.6925 acc/top5: 0.8808 acc/mean1: 0.6924 2022/10/14 04:29:31 - mmengine - INFO - Epoch(train) [53][20/940] lr: 1.0000e-03 eta: 6:55:37 time: 0.8293 data_time: 0.2095 memory: 31836 grad_norm: 4.6185 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0681 loss: 1.0681 2022/10/14 04:29:42 - mmengine - INFO - Epoch(train) [53][40/940] lr: 1.0000e-03 eta: 6:55:26 time: 0.5555 data_time: 0.0232 memory: 31836 grad_norm: 4.6627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/10/14 04:29:53 - mmengine - INFO - Epoch(train) [53][60/940] lr: 1.0000e-03 eta: 6:55:15 time: 0.5541 data_time: 0.0282 memory: 31836 grad_norm: 4.6338 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9254 loss: 0.9254 2022/10/14 04:30:04 - mmengine - INFO - Epoch(train) [53][80/940] lr: 1.0000e-03 eta: 6:55:04 time: 0.5466 data_time: 0.0235 memory: 31836 grad_norm: 4.6198 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9978 loss: 0.9978 2022/10/14 04:30:15 - mmengine - INFO - Epoch(train) [53][100/940] lr: 1.0000e-03 eta: 6:54:53 time: 0.5448 data_time: 0.0266 memory: 31836 grad_norm: 4.5168 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0447 loss: 1.0447 2022/10/14 04:30:25 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:30:25 - mmengine - INFO - Epoch(train) [53][120/940] lr: 1.0000e-03 eta: 6:54:42 time: 0.5439 data_time: 0.0304 memory: 31836 grad_norm: 4.6899 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0323 loss: 1.0323 2022/10/14 04:30:36 - mmengine - INFO - Epoch(train) [53][140/940] lr: 1.0000e-03 eta: 6:54:30 time: 0.5467 data_time: 0.0297 memory: 31836 grad_norm: 4.7120 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0263 loss: 1.0263 2022/10/14 04:30:47 - mmengine - INFO - Epoch(train) [53][160/940] lr: 1.0000e-03 eta: 6:54:19 time: 0.5464 data_time: 0.0286 memory: 31836 grad_norm: 4.6410 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0991 loss: 1.0991 2022/10/14 04:30:58 - mmengine - INFO - Epoch(train) [53][180/940] lr: 1.0000e-03 eta: 6:54:08 time: 0.5427 data_time: 0.0264 memory: 31836 grad_norm: 4.6128 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1885 loss: 1.1885 2022/10/14 04:31:09 - mmengine - INFO - Epoch(train) [53][200/940] lr: 1.0000e-03 eta: 6:53:57 time: 0.5515 data_time: 0.0310 memory: 31836 grad_norm: 4.5368 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0307 loss: 1.0307 2022/10/14 04:31:20 - mmengine - INFO - Epoch(train) [53][220/940] lr: 1.0000e-03 eta: 6:53:46 time: 0.5462 data_time: 0.0264 memory: 31836 grad_norm: 4.6242 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0335 loss: 1.0335 2022/10/14 04:31:31 - mmengine - INFO - Epoch(train) [53][240/940] lr: 1.0000e-03 eta: 6:53:35 time: 0.5438 data_time: 0.0313 memory: 31836 grad_norm: 4.5577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0145 loss: 1.0145 2022/10/14 04:31:42 - mmengine - INFO - Epoch(train) [53][260/940] lr: 1.0000e-03 eta: 6:53:23 time: 0.5435 data_time: 0.0295 memory: 31836 grad_norm: 4.5389 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9894 loss: 0.9894 2022/10/14 04:31:53 - mmengine - INFO - Epoch(train) [53][280/940] lr: 1.0000e-03 eta: 6:53:12 time: 0.5444 data_time: 0.0305 memory: 31836 grad_norm: 4.5647 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8721 loss: 0.8721 2022/10/14 04:32:04 - mmengine - INFO - Epoch(train) [53][300/940] lr: 1.0000e-03 eta: 6:53:01 time: 0.5495 data_time: 0.0268 memory: 31836 grad_norm: 4.5278 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0017 loss: 1.0017 2022/10/14 04:32:15 - mmengine - INFO - Epoch(train) [53][320/940] lr: 1.0000e-03 eta: 6:52:50 time: 0.5466 data_time: 0.0274 memory: 31836 grad_norm: 4.6300 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/10/14 04:32:26 - mmengine - INFO - Epoch(train) [53][340/940] lr: 1.0000e-03 eta: 6:52:39 time: 0.5436 data_time: 0.0312 memory: 31836 grad_norm: 4.5371 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0276 loss: 1.0276 2022/10/14 04:32:36 - mmengine - INFO - Epoch(train) [53][360/940] lr: 1.0000e-03 eta: 6:52:27 time: 0.5449 data_time: 0.0317 memory: 31836 grad_norm: 4.6598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0581 loss: 1.0581 2022/10/14 04:32:47 - mmengine - INFO - Epoch(train) [53][380/940] lr: 1.0000e-03 eta: 6:52:16 time: 0.5448 data_time: 0.0254 memory: 31836 grad_norm: 4.8873 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0336 loss: 1.0336 2022/10/14 04:32:58 - mmengine - INFO - Epoch(train) [53][400/940] lr: 1.0000e-03 eta: 6:52:05 time: 0.5525 data_time: 0.0272 memory: 31836 grad_norm: 4.6225 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1283 loss: 1.1283 2022/10/14 04:33:09 - mmengine - INFO - Epoch(train) [53][420/940] lr: 1.0000e-03 eta: 6:51:54 time: 0.5404 data_time: 0.0255 memory: 31836 grad_norm: 4.7506 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0691 loss: 1.0691 2022/10/14 04:33:20 - mmengine - INFO - Epoch(train) [53][440/940] lr: 1.0000e-03 eta: 6:51:43 time: 0.5478 data_time: 0.0287 memory: 31836 grad_norm: 4.6831 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0078 loss: 1.0078 2022/10/14 04:33:31 - mmengine - INFO - Epoch(train) [53][460/940] lr: 1.0000e-03 eta: 6:51:31 time: 0.5387 data_time: 0.0255 memory: 31836 grad_norm: 4.7232 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0589 loss: 1.0589 2022/10/14 04:33:42 - mmengine - INFO - Epoch(train) [53][480/940] lr: 1.0000e-03 eta: 6:51:20 time: 0.5404 data_time: 0.0304 memory: 31836 grad_norm: 4.7174 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0017 loss: 1.0017 2022/10/14 04:33:53 - mmengine - INFO - Epoch(train) [53][500/940] lr: 1.0000e-03 eta: 6:51:09 time: 0.5429 data_time: 0.0277 memory: 31836 grad_norm: 4.6194 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9725 loss: 0.9725 2022/10/14 04:34:03 - mmengine - INFO - Epoch(train) [53][520/940] lr: 1.0000e-03 eta: 6:50:57 time: 0.5378 data_time: 0.0267 memory: 31836 grad_norm: 4.6724 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/10/14 04:34:14 - mmengine - INFO - Epoch(train) [53][540/940] lr: 1.0000e-03 eta: 6:50:46 time: 0.5471 data_time: 0.0302 memory: 31836 grad_norm: 4.7715 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0607 loss: 1.0607 2022/10/14 04:34:25 - mmengine - INFO - Epoch(train) [53][560/940] lr: 1.0000e-03 eta: 6:50:35 time: 0.5425 data_time: 0.0269 memory: 31836 grad_norm: 4.8205 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0861 loss: 1.0861 2022/10/14 04:34:36 - mmengine - INFO - Epoch(train) [53][580/940] lr: 1.0000e-03 eta: 6:50:24 time: 0.5432 data_time: 0.0268 memory: 31836 grad_norm: 4.7222 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1760 loss: 1.1760 2022/10/14 04:34:47 - mmengine - INFO - Epoch(train) [53][600/940] lr: 1.0000e-03 eta: 6:50:13 time: 0.5419 data_time: 0.0265 memory: 31836 grad_norm: 4.5676 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.0848 loss: 1.0848 2022/10/14 04:34:58 - mmengine - INFO - Epoch(train) [53][620/940] lr: 1.0000e-03 eta: 6:50:01 time: 0.5417 data_time: 0.0241 memory: 31836 grad_norm: 4.6646 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1331 loss: 1.1331 2022/10/14 04:35:09 - mmengine - INFO - Epoch(train) [53][640/940] lr: 1.0000e-03 eta: 6:49:50 time: 0.5400 data_time: 0.0255 memory: 31836 grad_norm: 4.6469 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.0977 loss: 1.0977 2022/10/14 04:35:19 - mmengine - INFO - Epoch(train) [53][660/940] lr: 1.0000e-03 eta: 6:49:39 time: 0.5401 data_time: 0.0283 memory: 31836 grad_norm: 4.6376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9128 loss: 0.9128 2022/10/14 04:35:30 - mmengine - INFO - Epoch(train) [53][680/940] lr: 1.0000e-03 eta: 6:49:28 time: 0.5522 data_time: 0.0327 memory: 31836 grad_norm: 4.6260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/10/14 04:35:41 - mmengine - INFO - Epoch(train) [53][700/940] lr: 1.0000e-03 eta: 6:49:16 time: 0.5462 data_time: 0.0253 memory: 31836 grad_norm: 4.5497 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/10/14 04:35:52 - mmengine - INFO - Epoch(train) [53][720/940] lr: 1.0000e-03 eta: 6:49:05 time: 0.5501 data_time: 0.0372 memory: 31836 grad_norm: 4.6982 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0946 loss: 1.0946 2022/10/14 04:36:03 - mmengine - INFO - Epoch(train) [53][740/940] lr: 1.0000e-03 eta: 6:48:54 time: 0.5451 data_time: 0.0251 memory: 31836 grad_norm: 4.5900 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9742 loss: 0.9742 2022/10/14 04:36:14 - mmengine - INFO - Epoch(train) [53][760/940] lr: 1.0000e-03 eta: 6:48:43 time: 0.5498 data_time: 0.0252 memory: 31836 grad_norm: 4.6662 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0076 loss: 1.0076 2022/10/14 04:36:25 - mmengine - INFO - Epoch(train) [53][780/940] lr: 1.0000e-03 eta: 6:48:32 time: 0.5441 data_time: 0.0284 memory: 31836 grad_norm: 4.6715 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0184 loss: 1.0184 2022/10/14 04:36:36 - mmengine - INFO - Epoch(train) [53][800/940] lr: 1.0000e-03 eta: 6:48:21 time: 0.5500 data_time: 0.0258 memory: 31836 grad_norm: 4.5837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9877 loss: 0.9877 2022/10/14 04:36:47 - mmengine - INFO - Epoch(train) [53][820/940] lr: 1.0000e-03 eta: 6:48:10 time: 0.5412 data_time: 0.0307 memory: 31836 grad_norm: 4.6620 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0580 loss: 1.0580 2022/10/14 04:36:58 - mmengine - INFO - Epoch(train) [53][840/940] lr: 1.0000e-03 eta: 6:47:58 time: 0.5416 data_time: 0.0292 memory: 31836 grad_norm: 4.5916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0210 loss: 1.0210 2022/10/14 04:37:09 - mmengine - INFO - Epoch(train) [53][860/940] lr: 1.0000e-03 eta: 6:47:47 time: 0.5522 data_time: 0.0262 memory: 31836 grad_norm: 4.5730 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9912 loss: 0.9912 2022/10/14 04:37:20 - mmengine - INFO - Epoch(train) [53][880/940] lr: 1.0000e-03 eta: 6:47:36 time: 0.5389 data_time: 0.0253 memory: 31836 grad_norm: 4.7667 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/10/14 04:37:31 - mmengine - INFO - Epoch(train) [53][900/940] lr: 1.0000e-03 eta: 6:47:25 time: 0.5482 data_time: 0.0266 memory: 31836 grad_norm: 4.6841 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0836 loss: 1.0836 2022/10/14 04:37:42 - mmengine - INFO - Epoch(train) [53][920/940] lr: 1.0000e-03 eta: 6:47:14 time: 0.5488 data_time: 0.0335 memory: 31836 grad_norm: 4.6867 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1226 loss: 1.1226 2022/10/14 04:37:52 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:37:52 - mmengine - INFO - Epoch(train) [53][940/940] lr: 1.0000e-03 eta: 6:47:02 time: 0.5117 data_time: 0.0157 memory: 31836 grad_norm: 4.9876 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0982 loss: 1.0982 2022/10/14 04:38:05 - mmengine - INFO - Epoch(val) [53][20/78] eta: 0:00:38 time: 0.6661 data_time: 0.5152 memory: 3561 2022/10/14 04:38:14 - mmengine - INFO - Epoch(val) [53][40/78] eta: 0:00:16 time: 0.4414 data_time: 0.2925 memory: 3561 2022/10/14 04:38:25 - mmengine - INFO - Epoch(val) [53][60/78] eta: 0:00:09 time: 0.5528 data_time: 0.4037 memory: 3561 2022/10/14 04:38:35 - mmengine - INFO - Epoch(val) [53][78/78] acc/top1: 0.6940 acc/top5: 0.8816 acc/mean1: 0.6939 2022/10/14 04:38:35 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_45.pth is removed 2022/10/14 04:38:36 - mmengine - INFO - The best checkpoint with 0.6940 acc/top1 at 53 epoch is saved to best_acc/top1_epoch_53.pth. 2022/10/14 04:38:51 - mmengine - INFO - Epoch(train) [54][20/940] lr: 1.0000e-03 eta: 6:46:54 time: 0.7554 data_time: 0.2296 memory: 31836 grad_norm: 4.5755 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0124 loss: 1.0124 2022/10/14 04:39:02 - mmengine - INFO - Epoch(train) [54][40/940] lr: 1.0000e-03 eta: 6:46:43 time: 0.5454 data_time: 0.0293 memory: 31836 grad_norm: 4.5882 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9416 loss: 0.9416 2022/10/14 04:39:13 - mmengine - INFO - Epoch(train) [54][60/940] lr: 1.0000e-03 eta: 6:46:32 time: 0.5573 data_time: 0.0293 memory: 31836 grad_norm: 4.5664 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0546 loss: 1.0546 2022/10/14 04:39:24 - mmengine - INFO - Epoch(train) [54][80/940] lr: 1.0000e-03 eta: 6:46:21 time: 0.5480 data_time: 0.0270 memory: 31836 grad_norm: 4.7669 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1497 loss: 1.1497 2022/10/14 04:39:35 - mmengine - INFO - Epoch(train) [54][100/940] lr: 1.0000e-03 eta: 6:46:10 time: 0.5500 data_time: 0.0310 memory: 31836 grad_norm: 4.5893 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9700 loss: 0.9700 2022/10/14 04:39:46 - mmengine - INFO - Epoch(train) [54][120/940] lr: 1.0000e-03 eta: 6:45:59 time: 0.5450 data_time: 0.0263 memory: 31836 grad_norm: 4.7525 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0545 loss: 1.0545 2022/10/14 04:39:57 - mmengine - INFO - Epoch(train) [54][140/940] lr: 1.0000e-03 eta: 6:45:47 time: 0.5373 data_time: 0.0312 memory: 31836 grad_norm: 4.6572 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9245 loss: 0.9245 2022/10/14 04:40:08 - mmengine - INFO - Epoch(train) [54][160/940] lr: 1.0000e-03 eta: 6:45:36 time: 0.5395 data_time: 0.0268 memory: 31836 grad_norm: 4.6221 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1289 loss: 1.1289 2022/10/14 04:40:19 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:40:19 - mmengine - INFO - Epoch(train) [54][180/940] lr: 1.0000e-03 eta: 6:45:25 time: 0.5445 data_time: 0.0280 memory: 31836 grad_norm: 4.6149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9590 loss: 0.9590 2022/10/14 04:40:30 - mmengine - INFO - Epoch(train) [54][200/940] lr: 1.0000e-03 eta: 6:45:14 time: 0.5522 data_time: 0.0292 memory: 31836 grad_norm: 4.6417 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0478 loss: 1.0478 2022/10/14 04:40:40 - mmengine - INFO - Epoch(train) [54][220/940] lr: 1.0000e-03 eta: 6:45:03 time: 0.5374 data_time: 0.0235 memory: 31836 grad_norm: 4.7575 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0825 loss: 1.0825 2022/10/14 04:40:51 - mmengine - INFO - Epoch(train) [54][240/940] lr: 1.0000e-03 eta: 6:44:51 time: 0.5420 data_time: 0.0285 memory: 31836 grad_norm: 4.6142 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9639 loss: 0.9639 2022/10/14 04:41:02 - mmengine - INFO - Epoch(train) [54][260/940] lr: 1.0000e-03 eta: 6:44:40 time: 0.5493 data_time: 0.0394 memory: 31836 grad_norm: 4.5826 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0930 loss: 1.0930 2022/10/14 04:41:13 - mmengine - INFO - Epoch(train) [54][280/940] lr: 1.0000e-03 eta: 6:44:29 time: 0.5458 data_time: 0.0269 memory: 31836 grad_norm: 4.6647 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0654 loss: 1.0654 2022/10/14 04:41:24 - mmengine - INFO - Epoch(train) [54][300/940] lr: 1.0000e-03 eta: 6:44:18 time: 0.5437 data_time: 0.0279 memory: 31836 grad_norm: 4.6435 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0264 loss: 1.0264 2022/10/14 04:41:35 - mmengine - INFO - Epoch(train) [54][320/940] lr: 1.0000e-03 eta: 6:44:07 time: 0.5488 data_time: 0.0270 memory: 31836 grad_norm: 4.6826 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9719 loss: 0.9719 2022/10/14 04:41:46 - mmengine - INFO - Epoch(train) [54][340/940] lr: 1.0000e-03 eta: 6:43:56 time: 0.5515 data_time: 0.0309 memory: 31836 grad_norm: 4.7748 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/10/14 04:41:57 - mmengine - INFO - Epoch(train) [54][360/940] lr: 1.0000e-03 eta: 6:43:44 time: 0.5405 data_time: 0.0262 memory: 31836 grad_norm: 4.6779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0427 loss: 1.0427 2022/10/14 04:42:08 - mmengine - INFO - Epoch(train) [54][380/940] lr: 1.0000e-03 eta: 6:43:33 time: 0.5444 data_time: 0.0286 memory: 31836 grad_norm: 4.7430 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0358 loss: 1.0358 2022/10/14 04:42:19 - mmengine - INFO - Epoch(train) [54][400/940] lr: 1.0000e-03 eta: 6:43:22 time: 0.5488 data_time: 0.0295 memory: 31836 grad_norm: 4.5833 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1371 loss: 1.1371 2022/10/14 04:42:31 - mmengine - INFO - Epoch(train) [54][420/940] lr: 1.0000e-03 eta: 6:43:12 time: 0.6057 data_time: 0.0242 memory: 31836 grad_norm: 4.7339 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/10/14 04:42:42 - mmengine - INFO - Epoch(train) [54][440/940] lr: 1.0000e-03 eta: 6:43:01 time: 0.5480 data_time: 0.0242 memory: 31836 grad_norm: 4.6795 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0637 loss: 1.0637 2022/10/14 04:42:53 - mmengine - INFO - Epoch(train) [54][460/940] lr: 1.0000e-03 eta: 6:42:49 time: 0.5438 data_time: 0.0270 memory: 31836 grad_norm: 4.6581 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0627 loss: 1.0627 2022/10/14 04:43:04 - mmengine - INFO - Epoch(train) [54][480/940] lr: 1.0000e-03 eta: 6:42:38 time: 0.5484 data_time: 0.0249 memory: 31836 grad_norm: 4.6495 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9103 loss: 0.9103 2022/10/14 04:43:15 - mmengine - INFO - Epoch(train) [54][500/940] lr: 1.0000e-03 eta: 6:42:27 time: 0.5459 data_time: 0.0323 memory: 31836 grad_norm: 4.6889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0829 loss: 1.0829 2022/10/14 04:43:26 - mmengine - INFO - Epoch(train) [54][520/940] lr: 1.0000e-03 eta: 6:42:16 time: 0.5549 data_time: 0.0296 memory: 31836 grad_norm: 4.7163 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0634 loss: 1.0634 2022/10/14 04:43:36 - mmengine - INFO - Epoch(train) [54][540/940] lr: 1.0000e-03 eta: 6:42:05 time: 0.5413 data_time: 0.0272 memory: 31836 grad_norm: 4.6814 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0991 loss: 1.0991 2022/10/14 04:43:47 - mmengine - INFO - Epoch(train) [54][560/940] lr: 1.0000e-03 eta: 6:41:54 time: 0.5484 data_time: 0.0260 memory: 31836 grad_norm: 4.6099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0214 loss: 1.0214 2022/10/14 04:43:58 - mmengine - INFO - Epoch(train) [54][580/940] lr: 1.0000e-03 eta: 6:41:43 time: 0.5536 data_time: 0.0271 memory: 31836 grad_norm: 4.6265 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0290 loss: 1.0290 2022/10/14 04:44:09 - mmengine - INFO - Epoch(train) [54][600/940] lr: 1.0000e-03 eta: 6:41:32 time: 0.5473 data_time: 0.0266 memory: 31836 grad_norm: 4.7688 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/10/14 04:44:20 - mmengine - INFO - Epoch(train) [54][620/940] lr: 1.0000e-03 eta: 6:41:20 time: 0.5478 data_time: 0.0265 memory: 31836 grad_norm: 4.7202 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9769 loss: 0.9769 2022/10/14 04:44:31 - mmengine - INFO - Epoch(train) [54][640/940] lr: 1.0000e-03 eta: 6:41:09 time: 0.5472 data_time: 0.0259 memory: 31836 grad_norm: 4.7125 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2649 loss: 1.2649 2022/10/14 04:44:42 - mmengine - INFO - Epoch(train) [54][660/940] lr: 1.0000e-03 eta: 6:40:58 time: 0.5503 data_time: 0.0361 memory: 31836 grad_norm: 4.7458 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1073 loss: 1.1073 2022/10/14 04:44:53 - mmengine - INFO - Epoch(train) [54][680/940] lr: 1.0000e-03 eta: 6:40:47 time: 0.5469 data_time: 0.0272 memory: 31836 grad_norm: 4.6409 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0240 loss: 1.0240 2022/10/14 04:45:04 - mmengine - INFO - Epoch(train) [54][700/940] lr: 1.0000e-03 eta: 6:40:36 time: 0.5555 data_time: 0.0317 memory: 31836 grad_norm: 4.6901 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9459 loss: 0.9459 2022/10/14 04:45:15 - mmengine - INFO - Epoch(train) [54][720/940] lr: 1.0000e-03 eta: 6:40:25 time: 0.5484 data_time: 0.0241 memory: 31836 grad_norm: 4.7606 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1134 loss: 1.1134 2022/10/14 04:45:26 - mmengine - INFO - Epoch(train) [54][740/940] lr: 1.0000e-03 eta: 6:40:14 time: 0.5437 data_time: 0.0314 memory: 31836 grad_norm: 4.8332 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9943 loss: 0.9943 2022/10/14 04:45:37 - mmengine - INFO - Epoch(train) [54][760/940] lr: 1.0000e-03 eta: 6:40:02 time: 0.5387 data_time: 0.0255 memory: 31836 grad_norm: 4.6688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/10/14 04:45:48 - mmengine - INFO - Epoch(train) [54][780/940] lr: 1.0000e-03 eta: 6:39:51 time: 0.5480 data_time: 0.0271 memory: 31836 grad_norm: 4.7823 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9743 loss: 0.9743 2022/10/14 04:46:00 - mmengine - INFO - Epoch(train) [54][800/940] lr: 1.0000e-03 eta: 6:39:41 time: 0.6124 data_time: 0.0276 memory: 31836 grad_norm: 4.7456 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0333 loss: 1.0333 2022/10/14 04:46:11 - mmengine - INFO - Epoch(train) [54][820/940] lr: 1.0000e-03 eta: 6:39:30 time: 0.5507 data_time: 0.0287 memory: 31836 grad_norm: 4.6871 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0312 loss: 1.0312 2022/10/14 04:46:22 - mmengine - INFO - Epoch(train) [54][840/940] lr: 1.0000e-03 eta: 6:39:19 time: 0.5463 data_time: 0.0292 memory: 31836 grad_norm: 4.7312 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0966 loss: 1.0966 2022/10/14 04:46:33 - mmengine - INFO - Epoch(train) [54][860/940] lr: 1.0000e-03 eta: 6:39:08 time: 0.5481 data_time: 0.0254 memory: 31836 grad_norm: 4.7488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/10/14 04:46:44 - mmengine - INFO - Epoch(train) [54][880/940] lr: 1.0000e-03 eta: 6:38:57 time: 0.5480 data_time: 0.0279 memory: 31836 grad_norm: 4.7224 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0249 loss: 1.0249 2022/10/14 04:46:55 - mmengine - INFO - Epoch(train) [54][900/940] lr: 1.0000e-03 eta: 6:38:46 time: 0.5540 data_time: 0.0271 memory: 31836 grad_norm: 4.8044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0432 loss: 1.0432 2022/10/14 04:47:06 - mmengine - INFO - Epoch(train) [54][920/940] lr: 1.0000e-03 eta: 6:38:34 time: 0.5455 data_time: 0.0265 memory: 31836 grad_norm: 4.6676 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9808 loss: 0.9808 2022/10/14 04:47:16 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:47:16 - mmengine - INFO - Epoch(train) [54][940/940] lr: 1.0000e-03 eta: 6:38:23 time: 0.5101 data_time: 0.0222 memory: 31836 grad_norm: 5.1789 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/10/14 04:47:16 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/10/14 04:47:31 - mmengine - INFO - Epoch(val) [54][20/78] eta: 0:00:38 time: 0.6556 data_time: 0.5074 memory: 3561 2022/10/14 04:47:39 - mmengine - INFO - Epoch(val) [54][40/78] eta: 0:00:16 time: 0.4280 data_time: 0.2799 memory: 3561 2022/10/14 04:47:51 - mmengine - INFO - Epoch(val) [54][60/78] eta: 0:00:10 time: 0.5970 data_time: 0.4483 memory: 3561 2022/10/14 04:48:04 - mmengine - INFO - Epoch(val) [54][78/78] acc/top1: 0.6936 acc/top5: 0.8809 acc/mean1: 0.6935 2022/10/14 04:48:20 - mmengine - INFO - Epoch(train) [55][20/940] lr: 1.0000e-03 eta: 6:38:16 time: 0.7863 data_time: 0.2237 memory: 31836 grad_norm: 4.6959 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0390 loss: 1.0390 2022/10/14 04:48:31 - mmengine - INFO - Epoch(train) [55][40/940] lr: 1.0000e-03 eta: 6:38:05 time: 0.5565 data_time: 0.0249 memory: 31836 grad_norm: 4.7386 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0456 loss: 1.0456 2022/10/14 04:48:42 - mmengine - INFO - Epoch(train) [55][60/940] lr: 1.0000e-03 eta: 6:37:54 time: 0.5659 data_time: 0.0298 memory: 31836 grad_norm: 4.6140 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9484 loss: 0.9484 2022/10/14 04:48:53 - mmengine - INFO - Epoch(train) [55][80/940] lr: 1.0000e-03 eta: 6:37:43 time: 0.5499 data_time: 0.0263 memory: 31836 grad_norm: 4.5824 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0411 loss: 1.0411 2022/10/14 04:49:04 - mmengine - INFO - Epoch(train) [55][100/940] lr: 1.0000e-03 eta: 6:37:32 time: 0.5613 data_time: 0.0305 memory: 31836 grad_norm: 4.6783 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/10/14 04:49:15 - mmengine - INFO - Epoch(train) [55][120/940] lr: 1.0000e-03 eta: 6:37:21 time: 0.5463 data_time: 0.0339 memory: 31836 grad_norm: 4.7026 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9353 loss: 0.9353 2022/10/14 04:49:26 - mmengine - INFO - Epoch(train) [55][140/940] lr: 1.0000e-03 eta: 6:37:10 time: 0.5563 data_time: 0.0308 memory: 31836 grad_norm: 4.7836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0010 loss: 1.0010 2022/10/14 04:49:37 - mmengine - INFO - Epoch(train) [55][160/940] lr: 1.0000e-03 eta: 6:36:58 time: 0.5444 data_time: 0.0274 memory: 31836 grad_norm: 4.7166 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/10/14 04:49:48 - mmengine - INFO - Epoch(train) [55][180/940] lr: 1.0000e-03 eta: 6:36:47 time: 0.5504 data_time: 0.0366 memory: 31836 grad_norm: 4.5573 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9985 loss: 0.9985 2022/10/14 04:49:59 - mmengine - INFO - Epoch(train) [55][200/940] lr: 1.0000e-03 eta: 6:36:36 time: 0.5533 data_time: 0.0257 memory: 31836 grad_norm: 4.6303 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0214 loss: 1.0214 2022/10/14 04:50:10 - mmengine - INFO - Epoch(train) [55][220/940] lr: 1.0000e-03 eta: 6:36:25 time: 0.5491 data_time: 0.0278 memory: 31836 grad_norm: 4.7377 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0775 loss: 1.0775 2022/10/14 04:50:21 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:50:21 - mmengine - INFO - Epoch(train) [55][240/940] lr: 1.0000e-03 eta: 6:36:14 time: 0.5471 data_time: 0.0268 memory: 31836 grad_norm: 4.6574 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9910 loss: 0.9910 2022/10/14 04:50:32 - mmengine - INFO - Epoch(train) [55][260/940] lr: 1.0000e-03 eta: 6:36:03 time: 0.5417 data_time: 0.0240 memory: 31836 grad_norm: 4.8357 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0264 loss: 1.0264 2022/10/14 04:50:43 - mmengine - INFO - Epoch(train) [55][280/940] lr: 1.0000e-03 eta: 6:35:52 time: 0.5534 data_time: 0.0312 memory: 31836 grad_norm: 4.6462 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0996 loss: 1.0996 2022/10/14 04:50:54 - mmengine - INFO - Epoch(train) [55][300/940] lr: 1.0000e-03 eta: 6:35:40 time: 0.5450 data_time: 0.0236 memory: 31836 grad_norm: 4.6986 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9057 loss: 0.9057 2022/10/14 04:51:05 - mmengine - INFO - Epoch(train) [55][320/940] lr: 1.0000e-03 eta: 6:35:29 time: 0.5505 data_time: 0.0295 memory: 31836 grad_norm: 4.7560 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9635 loss: 0.9635 2022/10/14 04:51:16 - mmengine - INFO - Epoch(train) [55][340/940] lr: 1.0000e-03 eta: 6:35:18 time: 0.5432 data_time: 0.0331 memory: 31836 grad_norm: 4.6759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/10/14 04:51:27 - mmengine - INFO - Epoch(train) [55][360/940] lr: 1.0000e-03 eta: 6:35:07 time: 0.5493 data_time: 0.0262 memory: 31836 grad_norm: 4.8304 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1108 loss: 1.1108 2022/10/14 04:51:38 - mmengine - INFO - Epoch(train) [55][380/940] lr: 1.0000e-03 eta: 6:34:56 time: 0.5565 data_time: 0.0285 memory: 31836 grad_norm: 4.7521 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0191 loss: 1.0191 2022/10/14 04:51:49 - mmengine - INFO - Epoch(train) [55][400/940] lr: 1.0000e-03 eta: 6:34:45 time: 0.5518 data_time: 0.0304 memory: 31836 grad_norm: 4.5935 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9528 loss: 0.9528 2022/10/14 04:52:00 - mmengine - INFO - Epoch(train) [55][420/940] lr: 1.0000e-03 eta: 6:34:34 time: 0.5525 data_time: 0.0293 memory: 31836 grad_norm: 4.5980 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0272 loss: 1.0272 2022/10/14 04:52:11 - mmengine - INFO - Epoch(train) [55][440/940] lr: 1.0000e-03 eta: 6:34:23 time: 0.5442 data_time: 0.0245 memory: 31836 grad_norm: 4.7377 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0480 loss: 1.0480 2022/10/14 04:52:23 - mmengine - INFO - Epoch(train) [55][460/940] lr: 1.0000e-03 eta: 6:34:12 time: 0.5827 data_time: 0.0263 memory: 31836 grad_norm: 4.6804 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0768 loss: 1.0768 2022/10/14 04:52:34 - mmengine - INFO - Epoch(train) [55][480/940] lr: 1.0000e-03 eta: 6:34:01 time: 0.5520 data_time: 0.0236 memory: 31836 grad_norm: 4.6003 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9807 loss: 0.9807 2022/10/14 04:52:45 - mmengine - INFO - Epoch(train) [55][500/940] lr: 1.0000e-03 eta: 6:33:50 time: 0.5558 data_time: 0.0283 memory: 31836 grad_norm: 4.6226 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0681 loss: 1.0681 2022/10/14 04:52:56 - mmengine - INFO - Epoch(train) [55][520/940] lr: 1.0000e-03 eta: 6:33:39 time: 0.5447 data_time: 0.0286 memory: 31836 grad_norm: 4.6852 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9846 loss: 0.9846 2022/10/14 04:53:07 - mmengine - INFO - Epoch(train) [55][540/940] lr: 1.0000e-03 eta: 6:33:28 time: 0.5434 data_time: 0.0270 memory: 31836 grad_norm: 4.5692 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0387 loss: 1.0387 2022/10/14 04:53:18 - mmengine - INFO - Epoch(train) [55][560/940] lr: 1.0000e-03 eta: 6:33:17 time: 0.5658 data_time: 0.0322 memory: 31836 grad_norm: 4.6498 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0031 loss: 1.0031 2022/10/14 04:53:29 - mmengine - INFO - Epoch(train) [55][580/940] lr: 1.0000e-03 eta: 6:33:06 time: 0.5508 data_time: 0.0345 memory: 31836 grad_norm: 4.7398 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0383 loss: 1.0383 2022/10/14 04:53:40 - mmengine - INFO - Epoch(train) [55][600/940] lr: 1.0000e-03 eta: 6:32:55 time: 0.5518 data_time: 0.0247 memory: 31836 grad_norm: 4.7011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/10/14 04:53:51 - mmengine - INFO - Epoch(train) [55][620/940] lr: 1.0000e-03 eta: 6:32:43 time: 0.5511 data_time: 0.0307 memory: 31836 grad_norm: 4.5855 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8931 loss: 0.8931 2022/10/14 04:54:02 - mmengine - INFO - Epoch(train) [55][640/940] lr: 1.0000e-03 eta: 6:32:32 time: 0.5476 data_time: 0.0370 memory: 31836 grad_norm: 4.6831 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0160 loss: 1.0160 2022/10/14 04:54:13 - mmengine - INFO - Epoch(train) [55][660/940] lr: 1.0000e-03 eta: 6:32:21 time: 0.5479 data_time: 0.0287 memory: 31836 grad_norm: 4.7474 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9951 loss: 0.9951 2022/10/14 04:54:24 - mmengine - INFO - Epoch(train) [55][680/940] lr: 1.0000e-03 eta: 6:32:10 time: 0.5442 data_time: 0.0276 memory: 31836 grad_norm: 4.6129 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0977 loss: 1.0977 2022/10/14 04:54:35 - mmengine - INFO - Epoch(train) [55][700/940] lr: 1.0000e-03 eta: 6:31:59 time: 0.5466 data_time: 0.0263 memory: 31836 grad_norm: 4.7255 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0383 loss: 1.0383 2022/10/14 04:54:46 - mmengine - INFO - Epoch(train) [55][720/940] lr: 1.0000e-03 eta: 6:31:48 time: 0.5510 data_time: 0.0262 memory: 31836 grad_norm: 4.6396 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0244 loss: 1.0244 2022/10/14 04:54:57 - mmengine - INFO - Epoch(train) [55][740/940] lr: 1.0000e-03 eta: 6:31:37 time: 0.5433 data_time: 0.0276 memory: 31836 grad_norm: 4.7327 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9386 loss: 0.9386 2022/10/14 04:55:08 - mmengine - INFO - Epoch(train) [55][760/940] lr: 1.0000e-03 eta: 6:31:25 time: 0.5480 data_time: 0.0313 memory: 31836 grad_norm: 4.6633 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0405 loss: 1.0405 2022/10/14 04:55:19 - mmengine - INFO - Epoch(train) [55][780/940] lr: 1.0000e-03 eta: 6:31:14 time: 0.5492 data_time: 0.0299 memory: 31836 grad_norm: 4.6583 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/10/14 04:55:29 - mmengine - INFO - Epoch(train) [55][800/940] lr: 1.0000e-03 eta: 6:31:03 time: 0.5447 data_time: 0.0266 memory: 31836 grad_norm: 4.7064 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0384 loss: 1.0384 2022/10/14 04:55:40 - mmengine - INFO - Epoch(train) [55][820/940] lr: 1.0000e-03 eta: 6:30:52 time: 0.5397 data_time: 0.0238 memory: 31836 grad_norm: 4.7857 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0747 loss: 1.0747 2022/10/14 04:55:51 - mmengine - INFO - Epoch(train) [55][840/940] lr: 1.0000e-03 eta: 6:30:41 time: 0.5411 data_time: 0.0366 memory: 31836 grad_norm: 4.7922 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0333 loss: 1.0333 2022/10/14 04:56:02 - mmengine - INFO - Epoch(train) [55][860/940] lr: 1.0000e-03 eta: 6:30:29 time: 0.5482 data_time: 0.0289 memory: 31836 grad_norm: 4.6143 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9476 loss: 0.9476 2022/10/14 04:56:13 - mmengine - INFO - Epoch(train) [55][880/940] lr: 1.0000e-03 eta: 6:30:18 time: 0.5459 data_time: 0.0266 memory: 31836 grad_norm: 4.8835 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2219 loss: 1.2219 2022/10/14 04:56:24 - mmengine - INFO - Epoch(train) [55][900/940] lr: 1.0000e-03 eta: 6:30:07 time: 0.5450 data_time: 0.0251 memory: 31836 grad_norm: 4.7330 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0853 loss: 1.0853 2022/10/14 04:56:35 - mmengine - INFO - Epoch(train) [55][920/940] lr: 1.0000e-03 eta: 6:29:56 time: 0.5488 data_time: 0.0320 memory: 31836 grad_norm: 4.7208 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9882 loss: 0.9882 2022/10/14 04:56:45 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 04:56:45 - mmengine - INFO - Epoch(train) [55][940/940] lr: 1.0000e-03 eta: 6:29:44 time: 0.5110 data_time: 0.0252 memory: 31836 grad_norm: 4.7994 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/10/14 04:56:58 - mmengine - INFO - Epoch(val) [55][20/78] eta: 0:00:36 time: 0.6292 data_time: 0.4775 memory: 3561 2022/10/14 04:57:06 - mmengine - INFO - Epoch(val) [55][40/78] eta: 0:00:16 time: 0.4286 data_time: 0.2783 memory: 3561 2022/10/14 04:57:18 - mmengine - INFO - Epoch(val) [55][60/78] eta: 0:00:10 time: 0.5809 data_time: 0.4314 memory: 3561 2022/10/14 04:57:33 - mmengine - INFO - Epoch(val) [55][78/78] acc/top1: 0.6941 acc/top5: 0.8829 acc/mean1: 0.6939 2022/10/14 04:57:33 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_53.pth is removed 2022/10/14 04:57:34 - mmengine - INFO - The best checkpoint with 0.6941 acc/top1 at 55 epoch is saved to best_acc/top1_epoch_55.pth. 2022/10/14 04:57:49 - mmengine - INFO - Epoch(train) [56][20/940] lr: 1.0000e-03 eta: 6:29:36 time: 0.7355 data_time: 0.2134 memory: 31836 grad_norm: 4.5983 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0771 loss: 1.0771 2022/10/14 04:58:00 - mmengine - INFO - Epoch(train) [56][40/940] lr: 1.0000e-03 eta: 6:29:25 time: 0.5512 data_time: 0.0236 memory: 31836 grad_norm: 4.7074 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0107 loss: 1.0107 2022/10/14 04:58:11 - mmengine - INFO - Epoch(train) [56][60/940] lr: 1.0000e-03 eta: 6:29:14 time: 0.5679 data_time: 0.0380 memory: 31836 grad_norm: 4.7282 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0065 loss: 1.0065 2022/10/14 04:58:22 - mmengine - INFO - Epoch(train) [56][80/940] lr: 1.0000e-03 eta: 6:29:03 time: 0.5522 data_time: 0.0230 memory: 31836 grad_norm: 4.8205 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0859 loss: 1.0859 2022/10/14 04:58:33 - mmengine - INFO - Epoch(train) [56][100/940] lr: 1.0000e-03 eta: 6:28:52 time: 0.5541 data_time: 0.0306 memory: 31836 grad_norm: 4.7571 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0211 loss: 1.0211 2022/10/14 04:58:44 - mmengine - INFO - Epoch(train) [56][120/940] lr: 1.0000e-03 eta: 6:28:41 time: 0.5471 data_time: 0.0275 memory: 31836 grad_norm: 4.7200 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0584 loss: 1.0584 2022/10/14 04:58:55 - mmengine - INFO - Epoch(train) [56][140/940] lr: 1.0000e-03 eta: 6:28:30 time: 0.5462 data_time: 0.0285 memory: 31836 grad_norm: 4.7040 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0861 loss: 1.0861 2022/10/14 04:59:06 - mmengine - INFO - Epoch(train) [56][160/940] lr: 1.0000e-03 eta: 6:28:19 time: 0.5400 data_time: 0.0252 memory: 31836 grad_norm: 4.5736 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0282 loss: 1.0282 2022/10/14 04:59:17 - mmengine - INFO - Epoch(train) [56][180/940] lr: 1.0000e-03 eta: 6:28:07 time: 0.5432 data_time: 0.0303 memory: 31836 grad_norm: 4.5953 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0121 loss: 1.0121 2022/10/14 04:59:28 - mmengine - INFO - Epoch(train) [56][200/940] lr: 1.0000e-03 eta: 6:27:56 time: 0.5524 data_time: 0.0240 memory: 31836 grad_norm: 4.6193 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9874 loss: 0.9874 2022/10/14 04:59:39 - mmengine - INFO - Epoch(train) [56][220/940] lr: 1.0000e-03 eta: 6:27:45 time: 0.5424 data_time: 0.0284 memory: 31836 grad_norm: 4.6966 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9321 loss: 0.9321 2022/10/14 04:59:50 - mmengine - INFO - Epoch(train) [56][240/940] lr: 1.0000e-03 eta: 6:27:34 time: 0.5493 data_time: 0.0274 memory: 31836 grad_norm: 4.7014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9194 loss: 0.9194 2022/10/14 05:00:01 - mmengine - INFO - Epoch(train) [56][260/940] lr: 1.0000e-03 eta: 6:27:23 time: 0.5491 data_time: 0.0300 memory: 31836 grad_norm: 4.7750 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1024 loss: 1.1024 2022/10/14 05:00:12 - mmengine - INFO - Epoch(train) [56][280/940] lr: 1.0000e-03 eta: 6:27:12 time: 0.5468 data_time: 0.0321 memory: 31836 grad_norm: 4.7613 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0264 loss: 1.0264 2022/10/14 05:00:23 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:00:23 - mmengine - INFO - Epoch(train) [56][300/940] lr: 1.0000e-03 eta: 6:27:00 time: 0.5446 data_time: 0.0264 memory: 31836 grad_norm: 4.6213 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9980 loss: 0.9980 2022/10/14 05:00:33 - mmengine - INFO - Epoch(train) [56][320/940] lr: 1.0000e-03 eta: 6:26:49 time: 0.5493 data_time: 0.0312 memory: 31836 grad_norm: 4.6261 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9974 loss: 0.9974 2022/10/14 05:00:44 - mmengine - INFO - Epoch(train) [56][340/940] lr: 1.0000e-03 eta: 6:26:38 time: 0.5464 data_time: 0.0332 memory: 31836 grad_norm: 4.6191 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0804 loss: 1.0804 2022/10/14 05:00:55 - mmengine - INFO - Epoch(train) [56][360/940] lr: 1.0000e-03 eta: 6:26:27 time: 0.5491 data_time: 0.0334 memory: 31836 grad_norm: 4.6905 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0050 loss: 1.0050 2022/10/14 05:01:06 - mmengine - INFO - Epoch(train) [56][380/940] lr: 1.0000e-03 eta: 6:26:16 time: 0.5487 data_time: 0.0378 memory: 31836 grad_norm: 4.6656 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0057 loss: 1.0057 2022/10/14 05:01:18 - mmengine - INFO - Epoch(train) [56][400/940] lr: 1.0000e-03 eta: 6:26:05 time: 0.5561 data_time: 0.0321 memory: 31836 grad_norm: 4.7335 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0356 loss: 1.0356 2022/10/14 05:01:28 - mmengine - INFO - Epoch(train) [56][420/940] lr: 1.0000e-03 eta: 6:25:54 time: 0.5474 data_time: 0.0282 memory: 31836 grad_norm: 4.6972 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.1025 loss: 1.1025 2022/10/14 05:01:39 - mmengine - INFO - Epoch(train) [56][440/940] lr: 1.0000e-03 eta: 6:25:42 time: 0.5404 data_time: 0.0244 memory: 31836 grad_norm: 4.6948 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0443 loss: 1.0443 2022/10/14 05:01:50 - mmengine - INFO - Epoch(train) [56][460/940] lr: 1.0000e-03 eta: 6:25:31 time: 0.5470 data_time: 0.0296 memory: 31836 grad_norm: 4.6205 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0005 loss: 1.0005 2022/10/14 05:02:01 - mmengine - INFO - Epoch(train) [56][480/940] lr: 1.0000e-03 eta: 6:25:20 time: 0.5518 data_time: 0.0274 memory: 31836 grad_norm: 4.7640 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0803 loss: 1.0803 2022/10/14 05:02:12 - mmengine - INFO - Epoch(train) [56][500/940] lr: 1.0000e-03 eta: 6:25:09 time: 0.5457 data_time: 0.0291 memory: 31836 grad_norm: 4.8388 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1051 loss: 1.1051 2022/10/14 05:02:23 - mmengine - INFO - Epoch(train) [56][520/940] lr: 1.0000e-03 eta: 6:24:58 time: 0.5436 data_time: 0.0280 memory: 31836 grad_norm: 4.8560 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1457 loss: 1.1457 2022/10/14 05:02:34 - mmengine - INFO - Epoch(train) [56][540/940] lr: 1.0000e-03 eta: 6:24:47 time: 0.5451 data_time: 0.0303 memory: 31836 grad_norm: 4.8025 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0351 loss: 1.0351 2022/10/14 05:02:45 - mmengine - INFO - Epoch(train) [56][560/940] lr: 1.0000e-03 eta: 6:24:36 time: 0.5482 data_time: 0.0236 memory: 31836 grad_norm: 4.6150 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1233 loss: 1.1233 2022/10/14 05:02:56 - mmengine - INFO - Epoch(train) [56][580/940] lr: 1.0000e-03 eta: 6:24:25 time: 0.5526 data_time: 0.0321 memory: 31836 grad_norm: 4.7858 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0466 loss: 1.0466 2022/10/14 05:03:07 - mmengine - INFO - Epoch(train) [56][600/940] lr: 1.0000e-03 eta: 6:24:13 time: 0.5458 data_time: 0.0274 memory: 31836 grad_norm: 4.7018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9668 loss: 0.9668 2022/10/14 05:03:18 - mmengine - INFO - Epoch(train) [56][620/940] lr: 1.0000e-03 eta: 6:24:02 time: 0.5412 data_time: 0.0247 memory: 31836 grad_norm: 4.7265 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0284 loss: 1.0284 2022/10/14 05:03:29 - mmengine - INFO - Epoch(train) [56][640/940] lr: 1.0000e-03 eta: 6:23:51 time: 0.5402 data_time: 0.0235 memory: 31836 grad_norm: 4.7176 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0937 loss: 1.0937 2022/10/14 05:03:39 - mmengine - INFO - Epoch(train) [56][660/940] lr: 1.0000e-03 eta: 6:23:40 time: 0.5482 data_time: 0.0308 memory: 31836 grad_norm: 4.8363 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2101 loss: 1.2101 2022/10/14 05:03:51 - mmengine - INFO - Epoch(train) [56][680/940] lr: 1.0000e-03 eta: 6:23:29 time: 0.5549 data_time: 0.0287 memory: 31836 grad_norm: 4.7103 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9600 loss: 0.9600 2022/10/14 05:04:01 - mmengine - INFO - Epoch(train) [56][700/940] lr: 1.0000e-03 eta: 6:23:17 time: 0.5386 data_time: 0.0244 memory: 31836 grad_norm: 4.6840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9790 loss: 0.9790 2022/10/14 05:04:12 - mmengine - INFO - Epoch(train) [56][720/940] lr: 1.0000e-03 eta: 6:23:06 time: 0.5539 data_time: 0.0360 memory: 31836 grad_norm: 4.6986 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0618 loss: 1.0618 2022/10/14 05:04:23 - mmengine - INFO - Epoch(train) [56][740/940] lr: 1.0000e-03 eta: 6:22:55 time: 0.5376 data_time: 0.0246 memory: 31836 grad_norm: 4.8461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9523 loss: 0.9523 2022/10/14 05:04:34 - mmengine - INFO - Epoch(train) [56][760/940] lr: 1.0000e-03 eta: 6:22:44 time: 0.5505 data_time: 0.0269 memory: 31836 grad_norm: 4.8421 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0147 loss: 1.0147 2022/10/14 05:04:45 - mmengine - INFO - Epoch(train) [56][780/940] lr: 1.0000e-03 eta: 6:22:33 time: 0.5580 data_time: 0.0322 memory: 31836 grad_norm: 4.8807 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0745 loss: 1.0745 2022/10/14 05:04:56 - mmengine - INFO - Epoch(train) [56][800/940] lr: 1.0000e-03 eta: 6:22:22 time: 0.5398 data_time: 0.0254 memory: 31836 grad_norm: 4.7609 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9540 loss: 0.9540 2022/10/14 05:05:07 - mmengine - INFO - Epoch(train) [56][820/940] lr: 1.0000e-03 eta: 6:22:11 time: 0.5415 data_time: 0.0287 memory: 31836 grad_norm: 4.8126 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9917 loss: 0.9917 2022/10/14 05:05:18 - mmengine - INFO - Epoch(train) [56][840/940] lr: 1.0000e-03 eta: 6:21:59 time: 0.5436 data_time: 0.0311 memory: 31836 grad_norm: 4.7524 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/10/14 05:05:29 - mmengine - INFO - Epoch(train) [56][860/940] lr: 1.0000e-03 eta: 6:21:49 time: 0.5790 data_time: 0.0259 memory: 31836 grad_norm: 4.7598 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0161 loss: 1.0161 2022/10/14 05:05:40 - mmengine - INFO - Epoch(train) [56][880/940] lr: 1.0000e-03 eta: 6:21:37 time: 0.5438 data_time: 0.0252 memory: 31836 grad_norm: 4.7937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0459 loss: 1.0459 2022/10/14 05:05:51 - mmengine - INFO - Epoch(train) [56][900/940] lr: 1.0000e-03 eta: 6:21:26 time: 0.5498 data_time: 0.0294 memory: 31836 grad_norm: 4.8606 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1159 loss: 1.1159 2022/10/14 05:06:02 - mmengine - INFO - Epoch(train) [56][920/940] lr: 1.0000e-03 eta: 6:21:15 time: 0.5482 data_time: 0.0330 memory: 31836 grad_norm: 4.6590 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9896 loss: 0.9896 2022/10/14 05:06:13 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:06:13 - mmengine - INFO - Epoch(train) [56][940/940] lr: 1.0000e-03 eta: 6:21:04 time: 0.5119 data_time: 0.0210 memory: 31836 grad_norm: 5.1018 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0357 loss: 1.0357 2022/10/14 05:06:25 - mmengine - INFO - Epoch(val) [56][20/78] eta: 0:00:36 time: 0.6313 data_time: 0.4802 memory: 3561 2022/10/14 05:06:34 - mmengine - INFO - Epoch(val) [56][40/78] eta: 0:00:16 time: 0.4433 data_time: 0.2947 memory: 3561 2022/10/14 05:06:45 - mmengine - INFO - Epoch(val) [56][60/78] eta: 0:00:10 time: 0.5606 data_time: 0.4132 memory: 3561 2022/10/14 05:06:57 - mmengine - INFO - Epoch(val) [56][78/78] acc/top1: 0.6924 acc/top5: 0.8817 acc/mean1: 0.6922 2022/10/14 05:07:12 - mmengine - INFO - Epoch(train) [57][20/940] lr: 1.0000e-03 eta: 6:20:56 time: 0.7708 data_time: 0.1894 memory: 31836 grad_norm: 4.7447 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0178 loss: 1.0178 2022/10/14 05:07:24 - mmengine - INFO - Epoch(train) [57][40/940] lr: 1.0000e-03 eta: 6:20:45 time: 0.5580 data_time: 0.0282 memory: 31836 grad_norm: 4.6850 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0887 loss: 1.0887 2022/10/14 05:07:35 - mmengine - INFO - Epoch(train) [57][60/940] lr: 1.0000e-03 eta: 6:20:34 time: 0.5570 data_time: 0.0366 memory: 31836 grad_norm: 4.7245 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/10/14 05:07:46 - mmengine - INFO - Epoch(train) [57][80/940] lr: 1.0000e-03 eta: 6:20:23 time: 0.5541 data_time: 0.0405 memory: 31836 grad_norm: 4.7566 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0056 loss: 1.0056 2022/10/14 05:07:57 - mmengine - INFO - Epoch(train) [57][100/940] lr: 1.0000e-03 eta: 6:20:12 time: 0.5536 data_time: 0.0329 memory: 31836 grad_norm: 4.6552 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9835 loss: 0.9835 2022/10/14 05:08:08 - mmengine - INFO - Epoch(train) [57][120/940] lr: 1.0000e-03 eta: 6:20:01 time: 0.5459 data_time: 0.0344 memory: 31836 grad_norm: 4.7248 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0443 loss: 1.0443 2022/10/14 05:08:19 - mmengine - INFO - Epoch(train) [57][140/940] lr: 1.0000e-03 eta: 6:19:50 time: 0.5461 data_time: 0.0314 memory: 31836 grad_norm: 4.6101 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9776 loss: 0.9776 2022/10/14 05:08:30 - mmengine - INFO - Epoch(train) [57][160/940] lr: 1.0000e-03 eta: 6:19:38 time: 0.5427 data_time: 0.0251 memory: 31836 grad_norm: 4.7187 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9566 loss: 0.9566 2022/10/14 05:08:41 - mmengine - INFO - Epoch(train) [57][180/940] lr: 1.0000e-03 eta: 6:19:27 time: 0.5497 data_time: 0.0242 memory: 31836 grad_norm: 4.6702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/10/14 05:08:52 - mmengine - INFO - Epoch(train) [57][200/940] lr: 1.0000e-03 eta: 6:19:16 time: 0.5495 data_time: 0.0290 memory: 31836 grad_norm: 4.7690 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/10/14 05:09:02 - mmengine - INFO - Epoch(train) [57][220/940] lr: 1.0000e-03 eta: 6:19:05 time: 0.5459 data_time: 0.0252 memory: 31836 grad_norm: 4.7069 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0412 loss: 1.0412 2022/10/14 05:09:13 - mmengine - INFO - Epoch(train) [57][240/940] lr: 1.0000e-03 eta: 6:18:54 time: 0.5468 data_time: 0.0288 memory: 31836 grad_norm: 4.7956 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0717 loss: 1.0717 2022/10/14 05:09:24 - mmengine - INFO - Epoch(train) [57][260/940] lr: 1.0000e-03 eta: 6:18:43 time: 0.5488 data_time: 0.0285 memory: 31836 grad_norm: 4.5487 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9326 loss: 0.9326 2022/10/14 05:09:35 - mmengine - INFO - Epoch(train) [57][280/940] lr: 1.0000e-03 eta: 6:18:32 time: 0.5489 data_time: 0.0317 memory: 31836 grad_norm: 4.6586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/10/14 05:09:46 - mmengine - INFO - Epoch(train) [57][300/940] lr: 1.0000e-03 eta: 6:18:20 time: 0.5410 data_time: 0.0279 memory: 31836 grad_norm: 4.8412 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1077 loss: 1.1077 2022/10/14 05:09:57 - mmengine - INFO - Epoch(train) [57][320/940] lr: 1.0000e-03 eta: 6:18:09 time: 0.5465 data_time: 0.0311 memory: 31836 grad_norm: 4.6599 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9742 loss: 0.9742 2022/10/14 05:10:08 - mmengine - INFO - Epoch(train) [57][340/940] lr: 1.0000e-03 eta: 6:17:58 time: 0.5420 data_time: 0.0275 memory: 31836 grad_norm: 4.7712 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9254 loss: 0.9254 2022/10/14 05:10:19 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:10:19 - mmengine - INFO - Epoch(train) [57][360/940] lr: 1.0000e-03 eta: 6:17:47 time: 0.5417 data_time: 0.0268 memory: 31836 grad_norm: 4.7861 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0574 loss: 1.0574 2022/10/14 05:10:30 - mmengine - INFO - Epoch(train) [57][380/940] lr: 1.0000e-03 eta: 6:17:36 time: 0.5519 data_time: 0.0283 memory: 31836 grad_norm: 4.6687 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/10/14 05:10:41 - mmengine - INFO - Epoch(train) [57][400/940] lr: 1.0000e-03 eta: 6:17:24 time: 0.5465 data_time: 0.0290 memory: 31836 grad_norm: 4.7089 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9874 loss: 0.9874 2022/10/14 05:10:52 - mmengine - INFO - Epoch(train) [57][420/940] lr: 1.0000e-03 eta: 6:17:13 time: 0.5427 data_time: 0.0264 memory: 31836 grad_norm: 4.7599 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0265 loss: 1.0265 2022/10/14 05:11:03 - mmengine - INFO - Epoch(train) [57][440/940] lr: 1.0000e-03 eta: 6:17:02 time: 0.5543 data_time: 0.0311 memory: 31836 grad_norm: 4.8343 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0563 loss: 1.0563 2022/10/14 05:11:14 - mmengine - INFO - Epoch(train) [57][460/940] lr: 1.0000e-03 eta: 6:16:51 time: 0.5482 data_time: 0.0295 memory: 31836 grad_norm: 4.7304 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0959 loss: 1.0959 2022/10/14 05:11:25 - mmengine - INFO - Epoch(train) [57][480/940] lr: 1.0000e-03 eta: 6:16:40 time: 0.5547 data_time: 0.0343 memory: 31836 grad_norm: 4.6981 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9819 loss: 0.9819 2022/10/14 05:11:36 - mmengine - INFO - Epoch(train) [57][500/940] lr: 1.0000e-03 eta: 6:16:29 time: 0.5394 data_time: 0.0263 memory: 31836 grad_norm: 4.6876 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9451 loss: 0.9451 2022/10/14 05:11:47 - mmengine - INFO - Epoch(train) [57][520/940] lr: 1.0000e-03 eta: 6:16:18 time: 0.5550 data_time: 0.0326 memory: 31836 grad_norm: 4.8155 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9863 loss: 0.9863 2022/10/14 05:11:58 - mmengine - INFO - Epoch(train) [57][540/940] lr: 1.0000e-03 eta: 6:16:07 time: 0.5469 data_time: 0.0253 memory: 31836 grad_norm: 4.6430 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0726 loss: 1.0726 2022/10/14 05:12:09 - mmengine - INFO - Epoch(train) [57][560/940] lr: 1.0000e-03 eta: 6:15:55 time: 0.5491 data_time: 0.0353 memory: 31836 grad_norm: 4.7969 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0517 loss: 1.0517 2022/10/14 05:12:19 - mmengine - INFO - Epoch(train) [57][580/940] lr: 1.0000e-03 eta: 6:15:44 time: 0.5402 data_time: 0.0248 memory: 31836 grad_norm: 4.7014 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9903 loss: 0.9903 2022/10/14 05:12:30 - mmengine - INFO - Epoch(train) [57][600/940] lr: 1.0000e-03 eta: 6:15:33 time: 0.5381 data_time: 0.0283 memory: 31836 grad_norm: 4.7733 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0197 loss: 1.0197 2022/10/14 05:12:41 - mmengine - INFO - Epoch(train) [57][620/940] lr: 1.0000e-03 eta: 6:15:22 time: 0.5375 data_time: 0.0251 memory: 31836 grad_norm: 4.7690 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1613 loss: 1.1613 2022/10/14 05:12:52 - mmengine - INFO - Epoch(train) [57][640/940] lr: 1.0000e-03 eta: 6:15:10 time: 0.5444 data_time: 0.0326 memory: 31836 grad_norm: 4.6869 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0668 loss: 1.0668 2022/10/14 05:13:03 - mmengine - INFO - Epoch(train) [57][660/940] lr: 1.0000e-03 eta: 6:14:59 time: 0.5476 data_time: 0.0295 memory: 31836 grad_norm: 4.6762 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9371 loss: 0.9371 2022/10/14 05:13:14 - mmengine - INFO - Epoch(train) [57][680/940] lr: 1.0000e-03 eta: 6:14:48 time: 0.5398 data_time: 0.0281 memory: 31836 grad_norm: 4.7703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8662 loss: 0.8662 2022/10/14 05:13:24 - mmengine - INFO - Epoch(train) [57][700/940] lr: 1.0000e-03 eta: 6:14:37 time: 0.5403 data_time: 0.0270 memory: 31836 grad_norm: 4.8776 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1261 loss: 1.1261 2022/10/14 05:13:35 - mmengine - INFO - Epoch(train) [57][720/940] lr: 1.0000e-03 eta: 6:14:26 time: 0.5477 data_time: 0.0328 memory: 31836 grad_norm: 4.7812 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0994 loss: 1.0994 2022/10/14 05:13:46 - mmengine - INFO - Epoch(train) [57][740/940] lr: 1.0000e-03 eta: 6:14:15 time: 0.5450 data_time: 0.0277 memory: 31836 grad_norm: 4.6833 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0178 loss: 1.0178 2022/10/14 05:13:57 - mmengine - INFO - Epoch(train) [57][760/940] lr: 1.0000e-03 eta: 6:14:03 time: 0.5468 data_time: 0.0293 memory: 31836 grad_norm: 4.8671 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0657 loss: 1.0657 2022/10/14 05:14:08 - mmengine - INFO - Epoch(train) [57][780/940] lr: 1.0000e-03 eta: 6:13:52 time: 0.5444 data_time: 0.0293 memory: 31836 grad_norm: 4.7963 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0255 loss: 1.0255 2022/10/14 05:14:19 - mmengine - INFO - Epoch(train) [57][800/940] lr: 1.0000e-03 eta: 6:13:41 time: 0.5460 data_time: 0.0265 memory: 31836 grad_norm: 4.6539 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8828 loss: 0.8828 2022/10/14 05:14:30 - mmengine - INFO - Epoch(train) [57][820/940] lr: 1.0000e-03 eta: 6:13:30 time: 0.5611 data_time: 0.0295 memory: 31836 grad_norm: 4.7423 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9875 loss: 0.9875 2022/10/14 05:14:41 - mmengine - INFO - Epoch(train) [57][840/940] lr: 1.0000e-03 eta: 6:13:19 time: 0.5510 data_time: 0.0296 memory: 31836 grad_norm: 4.6955 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0526 loss: 1.0526 2022/10/14 05:14:52 - mmengine - INFO - Epoch(train) [57][860/940] lr: 1.0000e-03 eta: 6:13:08 time: 0.5487 data_time: 0.0282 memory: 31836 grad_norm: 4.8404 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0880 loss: 1.0880 2022/10/14 05:15:03 - mmengine - INFO - Epoch(train) [57][880/940] lr: 1.0000e-03 eta: 6:12:57 time: 0.5450 data_time: 0.0322 memory: 31836 grad_norm: 4.7618 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0642 loss: 1.0642 2022/10/14 05:15:14 - mmengine - INFO - Epoch(train) [57][900/940] lr: 1.0000e-03 eta: 6:12:46 time: 0.5494 data_time: 0.0250 memory: 31836 grad_norm: 4.7962 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1619 loss: 1.1619 2022/10/14 05:15:25 - mmengine - INFO - Epoch(train) [57][920/940] lr: 1.0000e-03 eta: 6:12:34 time: 0.5421 data_time: 0.0246 memory: 31836 grad_norm: 4.6501 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8927 loss: 0.8927 2022/10/14 05:15:35 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:15:35 - mmengine - INFO - Epoch(train) [57][940/940] lr: 1.0000e-03 eta: 6:12:23 time: 0.5190 data_time: 0.0237 memory: 31836 grad_norm: 5.1468 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1349 loss: 1.1349 2022/10/14 05:15:35 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/10/14 05:15:50 - mmengine - INFO - Epoch(val) [57][20/78] eta: 0:00:38 time: 0.6560 data_time: 0.5070 memory: 3561 2022/10/14 05:16:02 - mmengine - INFO - Epoch(val) [57][40/78] eta: 0:00:23 time: 0.6083 data_time: 0.4597 memory: 3561 2022/10/14 05:16:11 - mmengine - INFO - Epoch(val) [57][60/78] eta: 0:00:08 time: 0.4607 data_time: 0.3129 memory: 3561 2022/10/14 05:16:25 - mmengine - INFO - Epoch(val) [57][78/78] acc/top1: 0.6947 acc/top5: 0.8821 acc/mean1: 0.6946 2022/10/14 05:16:25 - mmengine - INFO - The previous best checkpoint /mnt/petrelfs/wangyiqin/open-mmlab/mmaction2/work_dirs/c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb/best_acc/top1_epoch_55.pth is removed 2022/10/14 05:16:26 - mmengine - INFO - The best checkpoint with 0.6947 acc/top1 at 57 epoch is saved to best_acc/top1_epoch_57.pth. 2022/10/14 05:16:42 - mmengine - INFO - Epoch(train) [58][20/940] lr: 1.0000e-03 eta: 6:12:15 time: 0.7845 data_time: 0.2681 memory: 31836 grad_norm: 4.7850 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9936 loss: 0.9936 2022/10/14 05:16:53 - mmengine - INFO - Epoch(train) [58][40/940] lr: 1.0000e-03 eta: 6:12:04 time: 0.5473 data_time: 0.0269 memory: 31836 grad_norm: 4.7015 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9757 loss: 0.9757 2022/10/14 05:17:04 - mmengine - INFO - Epoch(train) [58][60/940] lr: 1.0000e-03 eta: 6:11:53 time: 0.5616 data_time: 0.0387 memory: 31836 grad_norm: 4.8090 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9965 loss: 0.9965 2022/10/14 05:17:15 - mmengine - INFO - Epoch(train) [58][80/940] lr: 1.0000e-03 eta: 6:11:42 time: 0.5554 data_time: 0.0251 memory: 31836 grad_norm: 4.7409 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0274 loss: 1.0274 2022/10/14 05:17:26 - mmengine - INFO - Epoch(train) [58][100/940] lr: 1.0000e-03 eta: 6:11:31 time: 0.5577 data_time: 0.0333 memory: 31836 grad_norm: 4.7690 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1107 loss: 1.1107 2022/10/14 05:17:37 - mmengine - INFO - Epoch(train) [58][120/940] lr: 1.0000e-03 eta: 6:11:20 time: 0.5555 data_time: 0.0249 memory: 31836 grad_norm: 4.5931 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9609 loss: 0.9609 2022/10/14 05:17:48 - mmengine - INFO - Epoch(train) [58][140/940] lr: 1.0000e-03 eta: 6:11:09 time: 0.5525 data_time: 0.0271 memory: 31836 grad_norm: 4.6594 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1078 loss: 1.1078 2022/10/14 05:17:59 - mmengine - INFO - Epoch(train) [58][160/940] lr: 1.0000e-03 eta: 6:10:58 time: 0.5420 data_time: 0.0261 memory: 31836 grad_norm: 4.6892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8932 loss: 0.8932 2022/10/14 05:18:10 - mmengine - INFO - Epoch(train) [58][180/940] lr: 1.0000e-03 eta: 6:10:47 time: 0.5430 data_time: 0.0259 memory: 31836 grad_norm: 4.7482 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9724 loss: 0.9724 2022/10/14 05:18:21 - mmengine - INFO - Epoch(train) [58][200/940] lr: 1.0000e-03 eta: 6:10:36 time: 0.5443 data_time: 0.0289 memory: 31836 grad_norm: 4.6679 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9865 loss: 0.9865 2022/10/14 05:18:32 - mmengine - INFO - Epoch(train) [58][220/940] lr: 1.0000e-03 eta: 6:10:24 time: 0.5439 data_time: 0.0241 memory: 31836 grad_norm: 4.8018 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9812 loss: 0.9812 2022/10/14 05:18:43 - mmengine - INFO - Epoch(train) [58][240/940] lr: 1.0000e-03 eta: 6:10:13 time: 0.5420 data_time: 0.0294 memory: 31836 grad_norm: 4.6640 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9618 loss: 0.9618 2022/10/14 05:18:54 - mmengine - INFO - Epoch(train) [58][260/940] lr: 1.0000e-03 eta: 6:10:02 time: 0.5486 data_time: 0.0326 memory: 31836 grad_norm: 4.8370 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0817 loss: 1.0817 2022/10/14 05:19:05 - mmengine - INFO - Epoch(train) [58][280/940] lr: 1.0000e-03 eta: 6:09:51 time: 0.5534 data_time: 0.0302 memory: 31836 grad_norm: 4.8087 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0535 loss: 1.0535 2022/10/14 05:19:16 - mmengine - INFO - Epoch(train) [58][300/940] lr: 1.0000e-03 eta: 6:09:40 time: 0.5502 data_time: 0.0291 memory: 31836 grad_norm: 4.7864 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0760 loss: 1.0760 2022/10/14 05:19:27 - mmengine - INFO - Epoch(train) [58][320/940] lr: 1.0000e-03 eta: 6:09:29 time: 0.5605 data_time: 0.0411 memory: 31836 grad_norm: 4.8576 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9512 loss: 0.9512 2022/10/14 05:19:38 - mmengine - INFO - Epoch(train) [58][340/940] lr: 1.0000e-03 eta: 6:09:18 time: 0.5485 data_time: 0.0287 memory: 31836 grad_norm: 4.7645 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0876 loss: 1.0876 2022/10/14 05:19:49 - mmengine - INFO - Epoch(train) [58][360/940] lr: 1.0000e-03 eta: 6:09:07 time: 0.5420 data_time: 0.0266 memory: 31836 grad_norm: 4.8397 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1037 loss: 1.1037 2022/10/14 05:20:00 - mmengine - INFO - Epoch(train) [58][380/940] lr: 1.0000e-03 eta: 6:08:55 time: 0.5457 data_time: 0.0357 memory: 31836 grad_norm: 4.7789 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0191 loss: 1.0191 2022/10/14 05:20:11 - mmengine - INFO - Epoch(train) [58][400/940] lr: 1.0000e-03 eta: 6:08:44 time: 0.5584 data_time: 0.0272 memory: 31836 grad_norm: 4.7242 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0522 loss: 1.0522 2022/10/14 05:20:22 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:20:22 - mmengine - INFO - Epoch(train) [58][420/940] lr: 1.0000e-03 eta: 6:08:33 time: 0.5471 data_time: 0.0275 memory: 31836 grad_norm: 4.8534 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0117 loss: 1.0117 2022/10/14 05:20:33 - mmengine - INFO - Epoch(train) [58][440/940] lr: 1.0000e-03 eta: 6:08:22 time: 0.5489 data_time: 0.0251 memory: 31836 grad_norm: 4.8022 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1388 loss: 1.1388 2022/10/14 05:20:44 - mmengine - INFO - Epoch(train) [58][460/940] lr: 1.0000e-03 eta: 6:08:11 time: 0.5446 data_time: 0.0297 memory: 31836 grad_norm: 4.7952 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0760 loss: 1.0760 2022/10/14 05:20:55 - mmengine - INFO - Epoch(train) [58][480/940] lr: 1.0000e-03 eta: 6:08:00 time: 0.5694 data_time: 0.0262 memory: 31836 grad_norm: 4.8215 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0259 loss: 1.0259 2022/10/14 05:21:06 - mmengine - INFO - Epoch(train) [58][500/940] lr: 1.0000e-03 eta: 6:07:49 time: 0.5521 data_time: 0.0312 memory: 31836 grad_norm: 4.8723 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2235 loss: 1.2235 2022/10/14 05:21:17 - mmengine - INFO - Epoch(train) [58][520/940] lr: 1.0000e-03 eta: 6:07:38 time: 0.5465 data_time: 0.0259 memory: 31836 grad_norm: 4.7946 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9804 loss: 0.9804 2022/10/14 05:21:28 - mmengine - INFO - Epoch(train) [58][540/940] lr: 1.0000e-03 eta: 6:07:27 time: 0.5465 data_time: 0.0264 memory: 31836 grad_norm: 4.6891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0101 loss: 1.0101 2022/10/14 05:21:39 - mmengine - INFO - Epoch(train) [58][560/940] lr: 1.0000e-03 eta: 6:07:16 time: 0.5492 data_time: 0.0303 memory: 31836 grad_norm: 4.7753 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0321 loss: 1.0321 2022/10/14 05:21:50 - mmengine - INFO - Epoch(train) [58][580/940] lr: 1.0000e-03 eta: 6:07:05 time: 0.5459 data_time: 0.0268 memory: 31836 grad_norm: 4.7407 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9502 loss: 0.9502 2022/10/14 05:22:01 - mmengine - INFO - Epoch(train) [58][600/940] lr: 1.0000e-03 eta: 6:06:53 time: 0.5408 data_time: 0.0240 memory: 31836 grad_norm: 4.8976 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0202 loss: 1.0202 2022/10/14 05:22:11 - mmengine - INFO - Epoch(train) [58][620/940] lr: 1.0000e-03 eta: 6:06:42 time: 0.5446 data_time: 0.0265 memory: 31836 grad_norm: 4.6197 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0959 loss: 1.0959 2022/10/14 05:22:23 - mmengine - INFO - Epoch(train) [58][640/940] lr: 1.0000e-03 eta: 6:06:31 time: 0.5537 data_time: 0.0255 memory: 31836 grad_norm: 4.8817 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0610 loss: 1.0610 2022/10/14 05:22:34 - mmengine - INFO - Epoch(train) [58][660/940] lr: 1.0000e-03 eta: 6:06:21 time: 0.5952 data_time: 0.0274 memory: 31836 grad_norm: 4.8832 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1208 loss: 1.1208 2022/10/14 05:22:45 - mmengine - INFO - Epoch(train) [58][680/940] lr: 1.0000e-03 eta: 6:06:10 time: 0.5501 data_time: 0.0250 memory: 31836 grad_norm: 4.8003 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0025 loss: 1.0025 2022/10/14 05:22:56 - mmengine - INFO - Epoch(train) [58][700/940] lr: 1.0000e-03 eta: 6:05:58 time: 0.5499 data_time: 0.0278 memory: 31836 grad_norm: 4.7474 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9823 loss: 0.9823 2022/10/14 05:23:07 - mmengine - INFO - Epoch(train) [58][720/940] lr: 1.0000e-03 eta: 6:05:47 time: 0.5501 data_time: 0.0303 memory: 31836 grad_norm: 4.7426 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/10/14 05:23:19 - mmengine - INFO - Epoch(train) [58][740/940] lr: 1.0000e-03 eta: 6:05:36 time: 0.5541 data_time: 0.0284 memory: 31836 grad_norm: 4.7835 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0050 loss: 1.0050 2022/10/14 05:23:30 - mmengine - INFO - Epoch(train) [58][760/940] lr: 1.0000e-03 eta: 6:05:25 time: 0.5502 data_time: 0.0292 memory: 31836 grad_norm: 4.7251 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8949 loss: 0.8949 2022/10/14 05:23:41 - mmengine - INFO - Epoch(train) [58][780/940] lr: 1.0000e-03 eta: 6:05:14 time: 0.5505 data_time: 0.0254 memory: 31836 grad_norm: 4.7823 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1050 loss: 1.1050 2022/10/14 05:23:51 - mmengine - INFO - Epoch(train) [58][800/940] lr: 1.0000e-03 eta: 6:05:03 time: 0.5423 data_time: 0.0281 memory: 31836 grad_norm: 4.6281 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9914 loss: 0.9914 2022/10/14 05:24:02 - mmengine - INFO - Epoch(train) [58][820/940] lr: 1.0000e-03 eta: 6:04:52 time: 0.5378 data_time: 0.0251 memory: 31836 grad_norm: 4.7325 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0452 loss: 1.0452 2022/10/14 05:24:13 - mmengine - INFO - Epoch(train) [58][840/940] lr: 1.0000e-03 eta: 6:04:40 time: 0.5383 data_time: 0.0303 memory: 31836 grad_norm: 4.7948 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9974 loss: 0.9974 2022/10/14 05:24:24 - mmengine - INFO - Epoch(train) [58][860/940] lr: 1.0000e-03 eta: 6:04:29 time: 0.5470 data_time: 0.0282 memory: 31836 grad_norm: 4.8285 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0605 loss: 1.0605 2022/10/14 05:24:35 - mmengine - INFO - Epoch(train) [58][880/940] lr: 1.0000e-03 eta: 6:04:18 time: 0.5500 data_time: 0.0264 memory: 31836 grad_norm: 4.7874 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1364 loss: 1.1364 2022/10/14 05:24:46 - mmengine - INFO - Epoch(train) [58][900/940] lr: 1.0000e-03 eta: 6:04:07 time: 0.5427 data_time: 0.0254 memory: 31836 grad_norm: 4.8055 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9651 loss: 0.9651 2022/10/14 05:24:57 - mmengine - INFO - Epoch(train) [58][920/940] lr: 1.0000e-03 eta: 6:03:56 time: 0.5421 data_time: 0.0293 memory: 31836 grad_norm: 4.7999 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0000 loss: 1.0000 2022/10/14 05:25:07 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:25:07 - mmengine - INFO - Epoch(train) [58][940/940] lr: 1.0000e-03 eta: 6:03:44 time: 0.5168 data_time: 0.0218 memory: 31836 grad_norm: 4.9940 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1204 loss: 1.1204 2022/10/14 05:25:20 - mmengine - INFO - Epoch(val) [58][20/78] eta: 0:00:37 time: 0.6424 data_time: 0.4882 memory: 3561 2022/10/14 05:25:30 - mmengine - INFO - Epoch(val) [58][40/78] eta: 0:00:18 time: 0.4920 data_time: 0.3429 memory: 3561 2022/10/14 05:25:41 - mmengine - INFO - Epoch(val) [58][60/78] eta: 0:00:10 time: 0.5793 data_time: 0.4301 memory: 3561 2022/10/14 05:25:51 - mmengine - INFO - Epoch(val) [58][78/78] acc/top1: 0.6944 acc/top5: 0.8823 acc/mean1: 0.6943 2022/10/14 05:26:06 - mmengine - INFO - Epoch(train) [59][20/940] lr: 1.0000e-03 eta: 6:03:36 time: 0.7605 data_time: 0.2127 memory: 31836 grad_norm: 4.7790 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9646 loss: 0.9646 2022/10/14 05:26:17 - mmengine - INFO - Epoch(train) [59][40/940] lr: 1.0000e-03 eta: 6:03:25 time: 0.5591 data_time: 0.0298 memory: 31836 grad_norm: 4.8762 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0461 loss: 1.0461 2022/10/14 05:26:28 - mmengine - INFO - Epoch(train) [59][60/940] lr: 1.0000e-03 eta: 6:03:14 time: 0.5571 data_time: 0.0341 memory: 31836 grad_norm: 4.8142 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0354 loss: 1.0354 2022/10/14 05:26:39 - mmengine - INFO - Epoch(train) [59][80/940] lr: 1.0000e-03 eta: 6:03:03 time: 0.5481 data_time: 0.0279 memory: 31836 grad_norm: 4.9359 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/10/14 05:26:50 - mmengine - INFO - Epoch(train) [59][100/940] lr: 1.0000e-03 eta: 6:02:52 time: 0.5456 data_time: 0.0265 memory: 31836 grad_norm: 4.8895 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9738 loss: 0.9738 2022/10/14 05:27:01 - mmengine - INFO - Epoch(train) [59][120/940] lr: 1.0000e-03 eta: 6:02:41 time: 0.5468 data_time: 0.0301 memory: 31836 grad_norm: 4.8418 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0783 loss: 1.0783 2022/10/14 05:27:12 - mmengine - INFO - Epoch(train) [59][140/940] lr: 1.0000e-03 eta: 6:02:30 time: 0.5559 data_time: 0.0320 memory: 31836 grad_norm: 4.6534 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8644 loss: 0.8644 2022/10/14 05:27:23 - mmengine - INFO - Epoch(train) [59][160/940] lr: 1.0000e-03 eta: 6:02:19 time: 0.5538 data_time: 0.0242 memory: 31836 grad_norm: 4.8137 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9965 loss: 0.9965 2022/10/14 05:27:34 - mmengine - INFO - Epoch(train) [59][180/940] lr: 1.0000e-03 eta: 6:02:07 time: 0.5452 data_time: 0.0232 memory: 31836 grad_norm: 4.8958 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1526 loss: 1.1526 2022/10/14 05:27:45 - mmengine - INFO - Epoch(train) [59][200/940] lr: 1.0000e-03 eta: 6:01:56 time: 0.5420 data_time: 0.0283 memory: 31836 grad_norm: 4.8640 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0545 loss: 1.0545 2022/10/14 05:27:56 - mmengine - INFO - Epoch(train) [59][220/940] lr: 1.0000e-03 eta: 6:01:45 time: 0.5516 data_time: 0.0291 memory: 31836 grad_norm: 4.7726 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9417 loss: 0.9417 2022/10/14 05:28:07 - mmengine - INFO - Epoch(train) [59][240/940] lr: 1.0000e-03 eta: 6:01:34 time: 0.5482 data_time: 0.0301 memory: 31836 grad_norm: 4.8191 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0161 loss: 1.0161 2022/10/14 05:28:18 - mmengine - INFO - Epoch(train) [59][260/940] lr: 1.0000e-03 eta: 6:01:23 time: 0.5515 data_time: 0.0288 memory: 31836 grad_norm: 4.7182 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9956 loss: 0.9956 2022/10/14 05:28:29 - mmengine - INFO - Epoch(train) [59][280/940] lr: 1.0000e-03 eta: 6:01:12 time: 0.5500 data_time: 0.0272 memory: 31836 grad_norm: 4.7762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/10/14 05:28:40 - mmengine - INFO - Epoch(train) [59][300/940] lr: 1.0000e-03 eta: 6:01:01 time: 0.5451 data_time: 0.0222 memory: 31836 grad_norm: 4.7609 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9915 loss: 0.9915 2022/10/14 05:28:51 - mmengine - INFO - Epoch(train) [59][320/940] lr: 1.0000e-03 eta: 6:00:50 time: 0.5474 data_time: 0.0269 memory: 31836 grad_norm: 4.8594 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/10/14 05:29:02 - mmengine - INFO - Epoch(train) [59][340/940] lr: 1.0000e-03 eta: 6:00:38 time: 0.5504 data_time: 0.0276 memory: 31836 grad_norm: 4.8209 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1436 loss: 1.1436 2022/10/14 05:29:13 - mmengine - INFO - Epoch(train) [59][360/940] lr: 1.0000e-03 eta: 6:00:27 time: 0.5425 data_time: 0.0236 memory: 31836 grad_norm: 4.8286 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9916 loss: 0.9916 2022/10/14 05:29:24 - mmengine - INFO - Epoch(train) [59][380/940] lr: 1.0000e-03 eta: 6:00:16 time: 0.5459 data_time: 0.0282 memory: 31836 grad_norm: 4.8108 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/10/14 05:29:35 - mmengine - INFO - Epoch(train) [59][400/940] lr: 1.0000e-03 eta: 6:00:05 time: 0.5464 data_time: 0.0357 memory: 31836 grad_norm: 4.8108 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.1523 loss: 1.1523 2022/10/14 05:29:46 - mmengine - INFO - Epoch(train) [59][420/940] lr: 1.0000e-03 eta: 5:59:54 time: 0.5452 data_time: 0.0246 memory: 31836 grad_norm: 4.7784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/10/14 05:29:57 - mmengine - INFO - Epoch(train) [59][440/940] lr: 1.0000e-03 eta: 5:59:43 time: 0.5464 data_time: 0.0309 memory: 31836 grad_norm: 4.8194 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0407 loss: 1.0407 2022/10/14 05:30:08 - mmengine - INFO - Epoch(train) [59][460/940] lr: 1.0000e-03 eta: 5:59:32 time: 0.5476 data_time: 0.0258 memory: 31836 grad_norm: 4.9029 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0758 loss: 1.0758 2022/10/14 05:30:19 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:30:19 - mmengine - INFO - Epoch(train) [59][480/940] lr: 1.0000e-03 eta: 5:59:21 time: 0.5557 data_time: 0.0261 memory: 31836 grad_norm: 4.7330 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9893 loss: 0.9893 2022/10/14 05:30:30 - mmengine - INFO - Epoch(train) [59][500/940] lr: 1.0000e-03 eta: 5:59:09 time: 0.5437 data_time: 0.0255 memory: 31836 grad_norm: 4.8706 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0318 loss: 1.0318 2022/10/14 05:30:41 - mmengine - INFO - Epoch(train) [59][520/940] lr: 1.0000e-03 eta: 5:58:58 time: 0.5532 data_time: 0.0289 memory: 31836 grad_norm: 4.8148 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/10/14 05:30:52 - mmengine - INFO - Epoch(train) [59][540/940] lr: 1.0000e-03 eta: 5:58:47 time: 0.5503 data_time: 0.0281 memory: 31836 grad_norm: 4.8123 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0438 loss: 1.0438 2022/10/14 05:31:03 - mmengine - INFO - Epoch(train) [59][560/940] lr: 1.0000e-03 eta: 5:58:36 time: 0.5506 data_time: 0.0295 memory: 31836 grad_norm: 4.8499 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1036 loss: 1.1036 2022/10/14 05:31:14 - mmengine - INFO - Epoch(train) [59][580/940] lr: 1.0000e-03 eta: 5:58:25 time: 0.5478 data_time: 0.0286 memory: 31836 grad_norm: 4.8117 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0332 loss: 1.0332 2022/10/14 05:31:25 - mmengine - INFO - Epoch(train) [59][600/940] lr: 1.0000e-03 eta: 5:58:14 time: 0.5569 data_time: 0.0290 memory: 31836 grad_norm: 4.8765 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0294 loss: 1.0294 2022/10/14 05:31:36 - mmengine - INFO - Epoch(train) [59][620/940] lr: 1.0000e-03 eta: 5:58:03 time: 0.5470 data_time: 0.0244 memory: 31836 grad_norm: 4.7518 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9565 loss: 0.9565 2022/10/14 05:31:47 - mmengine - INFO - Epoch(train) [59][640/940] lr: 1.0000e-03 eta: 5:57:52 time: 0.5465 data_time: 0.0346 memory: 31836 grad_norm: 4.7507 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0207 loss: 1.0207 2022/10/14 05:31:58 - mmengine - INFO - Epoch(train) [59][660/940] lr: 1.0000e-03 eta: 5:57:41 time: 0.5512 data_time: 0.0285 memory: 31836 grad_norm: 4.7791 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9651 loss: 0.9651 2022/10/14 05:32:09 - mmengine - INFO - Epoch(train) [59][680/940] lr: 1.0000e-03 eta: 5:57:29 time: 0.5432 data_time: 0.0254 memory: 31836 grad_norm: 4.7686 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.0229 loss: 1.0229 2022/10/14 05:32:20 - mmengine - INFO - Epoch(train) [59][700/940] lr: 1.0000e-03 eta: 5:57:18 time: 0.5483 data_time: 0.0286 memory: 31836 grad_norm: 4.7441 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9985 loss: 0.9985 2022/10/14 05:32:31 - mmengine - INFO - Epoch(train) [59][720/940] lr: 1.0000e-03 eta: 5:57:07 time: 0.5682 data_time: 0.0275 memory: 31836 grad_norm: 4.7664 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0521 loss: 1.0521 2022/10/14 05:32:42 - mmengine - INFO - Epoch(train) [59][740/940] lr: 1.0000e-03 eta: 5:56:56 time: 0.5522 data_time: 0.0235 memory: 31836 grad_norm: 4.8652 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9605 loss: 0.9605 2022/10/14 05:32:53 - mmengine - INFO - Epoch(train) [59][760/940] lr: 1.0000e-03 eta: 5:56:45 time: 0.5569 data_time: 0.0268 memory: 31836 grad_norm: 4.8130 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9674 loss: 0.9674 2022/10/14 05:33:04 - mmengine - INFO - Epoch(train) [59][780/940] lr: 1.0000e-03 eta: 5:56:34 time: 0.5535 data_time: 0.0244 memory: 31836 grad_norm: 4.8641 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9811 loss: 0.9811 2022/10/14 05:33:15 - mmengine - INFO - Epoch(train) [59][800/940] lr: 1.0000e-03 eta: 5:56:23 time: 0.5518 data_time: 0.0327 memory: 31836 grad_norm: 4.8108 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9533 loss: 0.9533 2022/10/14 05:33:26 - mmengine - INFO - Epoch(train) [59][820/940] lr: 1.0000e-03 eta: 5:56:12 time: 0.5436 data_time: 0.0288 memory: 31836 grad_norm: 4.7761 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/10/14 05:33:37 - mmengine - INFO - Epoch(train) [59][840/940] lr: 1.0000e-03 eta: 5:56:01 time: 0.5501 data_time: 0.0290 memory: 31836 grad_norm: 4.7554 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1133 loss: 1.1133 2022/10/14 05:33:48 - mmengine - INFO - Epoch(train) [59][860/940] lr: 1.0000e-03 eta: 5:55:50 time: 0.5593 data_time: 0.0291 memory: 31836 grad_norm: 4.8939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9239 loss: 0.9239 2022/10/14 05:33:59 - mmengine - INFO - Epoch(train) [59][880/940] lr: 1.0000e-03 eta: 5:55:39 time: 0.5455 data_time: 0.0298 memory: 31836 grad_norm: 4.8076 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.0155 loss: 1.0155 2022/10/14 05:34:10 - mmengine - INFO - Epoch(train) [59][900/940] lr: 1.0000e-03 eta: 5:55:28 time: 0.5560 data_time: 0.0293 memory: 31836 grad_norm: 4.8306 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9443 loss: 0.9443 2022/10/14 05:34:21 - mmengine - INFO - Epoch(train) [59][920/940] lr: 1.0000e-03 eta: 5:55:17 time: 0.5434 data_time: 0.0273 memory: 31836 grad_norm: 4.8461 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9746 loss: 0.9746 2022/10/14 05:34:31 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:34:31 - mmengine - INFO - Epoch(train) [59][940/940] lr: 1.0000e-03 eta: 5:55:05 time: 0.5094 data_time: 0.0220 memory: 31836 grad_norm: 5.1031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/10/14 05:34:44 - mmengine - INFO - Epoch(val) [59][20/78] eta: 0:00:37 time: 0.6472 data_time: 0.4972 memory: 3561 2022/10/14 05:34:53 - mmengine - INFO - Epoch(val) [59][40/78] eta: 0:00:17 time: 0.4521 data_time: 0.3038 memory: 3561 2022/10/14 05:35:05 - mmengine - INFO - Epoch(val) [59][60/78] eta: 0:00:10 time: 0.5911 data_time: 0.4432 memory: 3561 2022/10/14 05:35:17 - mmengine - INFO - Epoch(val) [59][78/78] acc/top1: 0.6925 acc/top5: 0.8816 acc/mean1: 0.6923 2022/10/14 05:35:33 - mmengine - INFO - Epoch(train) [60][20/940] lr: 1.0000e-03 eta: 5:54:58 time: 0.8105 data_time: 0.2102 memory: 31836 grad_norm: 4.7449 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9055 loss: 0.9055 2022/10/14 05:35:44 - mmengine - INFO - Epoch(train) [60][40/940] lr: 1.0000e-03 eta: 5:54:46 time: 0.5516 data_time: 0.0241 memory: 31836 grad_norm: 4.8569 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9458 loss: 0.9458 2022/10/14 05:35:55 - mmengine - INFO - Epoch(train) [60][60/940] lr: 1.0000e-03 eta: 5:54:35 time: 0.5555 data_time: 0.0253 memory: 31836 grad_norm: 4.7732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0516 loss: 1.0516 2022/10/14 05:36:06 - mmengine - INFO - Epoch(train) [60][80/940] lr: 1.0000e-03 eta: 5:54:24 time: 0.5482 data_time: 0.0263 memory: 31836 grad_norm: 4.8089 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9897 loss: 0.9897 2022/10/14 05:36:17 - mmengine - INFO - Epoch(train) [60][100/940] lr: 1.0000e-03 eta: 5:54:13 time: 0.5491 data_time: 0.0276 memory: 31836 grad_norm: 4.8075 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0202 loss: 1.0202 2022/10/14 05:36:28 - mmengine - INFO - Epoch(train) [60][120/940] lr: 1.0000e-03 eta: 5:54:02 time: 0.5486 data_time: 0.0339 memory: 31836 grad_norm: 4.7484 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0259 loss: 1.0259 2022/10/14 05:36:39 - mmengine - INFO - Epoch(train) [60][140/940] lr: 1.0000e-03 eta: 5:53:51 time: 0.5463 data_time: 0.0290 memory: 31836 grad_norm: 4.5510 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9389 loss: 0.9389 2022/10/14 05:36:50 - mmengine - INFO - Epoch(train) [60][160/940] lr: 1.0000e-03 eta: 5:53:40 time: 0.5527 data_time: 0.0238 memory: 31836 grad_norm: 4.7949 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0072 loss: 1.0072 2022/10/14 05:37:01 - mmengine - INFO - Epoch(train) [60][180/940] lr: 1.0000e-03 eta: 5:53:29 time: 0.5456 data_time: 0.0273 memory: 31836 grad_norm: 4.6940 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9613 loss: 0.9613 2022/10/14 05:37:12 - mmengine - INFO - Epoch(train) [60][200/940] lr: 1.0000e-03 eta: 5:53:18 time: 0.5590 data_time: 0.0265 memory: 31836 grad_norm: 4.6451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/10/14 05:37:23 - mmengine - INFO - Epoch(train) [60][220/940] lr: 1.0000e-03 eta: 5:53:07 time: 0.5541 data_time: 0.0289 memory: 31836 grad_norm: 4.8215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0417 loss: 1.0417 2022/10/14 05:37:34 - mmengine - INFO - Epoch(train) [60][240/940] lr: 1.0000e-03 eta: 5:52:55 time: 0.5425 data_time: 0.0298 memory: 31836 grad_norm: 4.9126 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0240 loss: 1.0240 2022/10/14 05:37:45 - mmengine - INFO - Epoch(train) [60][260/940] lr: 1.0000e-03 eta: 5:52:44 time: 0.5399 data_time: 0.0279 memory: 31836 grad_norm: 4.6246 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9554 loss: 0.9554 2022/10/14 05:37:56 - mmengine - INFO - Epoch(train) [60][280/940] lr: 1.0000e-03 eta: 5:52:33 time: 0.5484 data_time: 0.0272 memory: 31836 grad_norm: 4.6972 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9604 loss: 0.9604 2022/10/14 05:38:06 - mmengine - INFO - Epoch(train) [60][300/940] lr: 1.0000e-03 eta: 5:52:22 time: 0.5403 data_time: 0.0256 memory: 31836 grad_norm: 4.7127 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1012 loss: 1.1012 2022/10/14 05:38:17 - mmengine - INFO - Epoch(train) [60][320/940] lr: 1.0000e-03 eta: 5:52:11 time: 0.5507 data_time: 0.0286 memory: 31836 grad_norm: 4.8011 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9214 loss: 0.9214 2022/10/14 05:38:29 - mmengine - INFO - Epoch(train) [60][340/940] lr: 1.0000e-03 eta: 5:52:00 time: 0.5572 data_time: 0.0274 memory: 31836 grad_norm: 4.8318 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1098 loss: 1.1098 2022/10/14 05:38:40 - mmengine - INFO - Epoch(train) [60][360/940] lr: 1.0000e-03 eta: 5:51:49 time: 0.5480 data_time: 0.0269 memory: 31836 grad_norm: 4.8264 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0042 loss: 1.0042 2022/10/14 05:38:50 - mmengine - INFO - Epoch(train) [60][380/940] lr: 1.0000e-03 eta: 5:51:38 time: 0.5441 data_time: 0.0345 memory: 31836 grad_norm: 4.8468 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0022 loss: 1.0022 2022/10/14 05:39:01 - mmengine - INFO - Epoch(train) [60][400/940] lr: 1.0000e-03 eta: 5:51:26 time: 0.5453 data_time: 0.0252 memory: 31836 grad_norm: 4.8288 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9895 loss: 0.9895 2022/10/14 05:39:12 - mmengine - INFO - Epoch(train) [60][420/940] lr: 1.0000e-03 eta: 5:51:15 time: 0.5415 data_time: 0.0254 memory: 31836 grad_norm: 4.7401 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0955 loss: 1.0955 2022/10/14 05:39:23 - mmengine - INFO - Epoch(train) [60][440/940] lr: 1.0000e-03 eta: 5:51:04 time: 0.5437 data_time: 0.0280 memory: 31836 grad_norm: 4.8205 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9277 loss: 0.9277 2022/10/14 05:39:34 - mmengine - INFO - Epoch(train) [60][460/940] lr: 1.0000e-03 eta: 5:50:53 time: 0.5380 data_time: 0.0266 memory: 31836 grad_norm: 4.7831 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9965 loss: 0.9965 2022/10/14 05:39:45 - mmengine - INFO - Epoch(train) [60][480/940] lr: 1.0000e-03 eta: 5:50:41 time: 0.5424 data_time: 0.0272 memory: 31836 grad_norm: 4.8345 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0460 loss: 1.0460 2022/10/14 05:39:56 - mmengine - INFO - Epoch(train) [60][500/940] lr: 1.0000e-03 eta: 5:50:30 time: 0.5554 data_time: 0.0413 memory: 31836 grad_norm: 4.8131 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0766 loss: 1.0766 2022/10/14 05:40:07 - mmengine - INFO - Epoch(train) [60][520/940] lr: 1.0000e-03 eta: 5:50:19 time: 0.5423 data_time: 0.0274 memory: 31836 grad_norm: 4.7168 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0143 loss: 1.0143 2022/10/14 05:40:17 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:40:17 - mmengine - INFO - Epoch(train) [60][540/940] lr: 1.0000e-03 eta: 5:50:08 time: 0.5419 data_time: 0.0348 memory: 31836 grad_norm: 4.7625 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9528 loss: 0.9528 2022/10/14 05:40:28 - mmengine - INFO - Epoch(train) [60][560/940] lr: 1.0000e-03 eta: 5:49:57 time: 0.5412 data_time: 0.0271 memory: 31836 grad_norm: 4.7879 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9572 loss: 0.9572 2022/10/14 05:40:39 - mmengine - INFO - Epoch(train) [60][580/940] lr: 1.0000e-03 eta: 5:49:46 time: 0.5454 data_time: 0.0234 memory: 31836 grad_norm: 4.8800 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9767 loss: 0.9767 2022/10/14 05:40:50 - mmengine - INFO - Epoch(train) [60][600/940] lr: 1.0000e-03 eta: 5:49:35 time: 0.5444 data_time: 0.0249 memory: 31836 grad_norm: 4.8597 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0724 loss: 1.0724 2022/10/14 05:41:01 - mmengine - INFO - Epoch(train) [60][620/940] lr: 1.0000e-03 eta: 5:49:23 time: 0.5504 data_time: 0.0335 memory: 31836 grad_norm: 4.8375 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/10/14 05:41:12 - mmengine - INFO - Epoch(train) [60][640/940] lr: 1.0000e-03 eta: 5:49:12 time: 0.5422 data_time: 0.0236 memory: 31836 grad_norm: 4.7475 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0187 loss: 1.0187 2022/10/14 05:41:23 - mmengine - INFO - Epoch(train) [60][660/940] lr: 1.0000e-03 eta: 5:49:01 time: 0.5459 data_time: 0.0227 memory: 31836 grad_norm: 4.8018 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9949 loss: 0.9949 2022/10/14 05:41:34 - mmengine - INFO - Epoch(train) [60][680/940] lr: 1.0000e-03 eta: 5:48:50 time: 0.5560 data_time: 0.0242 memory: 31836 grad_norm: 4.8544 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0760 loss: 1.0760 2022/10/14 05:41:45 - mmengine - INFO - Epoch(train) [60][700/940] lr: 1.0000e-03 eta: 5:48:39 time: 0.5537 data_time: 0.0242 memory: 31836 grad_norm: 4.8247 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9663 loss: 0.9663 2022/10/14 05:41:56 - mmengine - INFO - Epoch(train) [60][720/940] lr: 1.0000e-03 eta: 5:48:28 time: 0.5493 data_time: 0.0286 memory: 31836 grad_norm: 4.7401 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0719 loss: 1.0719 2022/10/14 05:42:07 - mmengine - INFO - Epoch(train) [60][740/940] lr: 1.0000e-03 eta: 5:48:17 time: 0.5526 data_time: 0.0294 memory: 31836 grad_norm: 4.8340 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0674 loss: 1.0674 2022/10/14 05:42:18 - mmengine - INFO - Epoch(train) [60][760/940] lr: 1.0000e-03 eta: 5:48:06 time: 0.5448 data_time: 0.0328 memory: 31836 grad_norm: 4.9482 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/10/14 05:42:29 - mmengine - INFO - Epoch(train) [60][780/940] lr: 1.0000e-03 eta: 5:47:55 time: 0.5532 data_time: 0.0319 memory: 31836 grad_norm: 4.9021 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0257 loss: 1.0257 2022/10/14 05:42:40 - mmengine - INFO - Epoch(train) [60][800/940] lr: 1.0000e-03 eta: 5:47:43 time: 0.5433 data_time: 0.0271 memory: 31836 grad_norm: 4.8140 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9710 loss: 0.9710 2022/10/14 05:42:51 - mmengine - INFO - Epoch(train) [60][820/940] lr: 1.0000e-03 eta: 5:47:32 time: 0.5490 data_time: 0.0273 memory: 31836 grad_norm: 4.7125 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9729 loss: 0.9729 2022/10/14 05:43:02 - mmengine - INFO - Epoch(train) [60][840/940] lr: 1.0000e-03 eta: 5:47:21 time: 0.5486 data_time: 0.0366 memory: 31836 grad_norm: 4.8004 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1523 loss: 1.1523 2022/10/14 05:43:13 - mmengine - INFO - Epoch(train) [60][860/940] lr: 1.0000e-03 eta: 5:47:10 time: 0.5485 data_time: 0.0221 memory: 31836 grad_norm: 4.8131 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9388 loss: 0.9388 2022/10/14 05:43:24 - mmengine - INFO - Epoch(train) [60][880/940] lr: 1.0000e-03 eta: 5:46:59 time: 0.5470 data_time: 0.0260 memory: 31836 grad_norm: 4.8494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0496 loss: 1.0496 2022/10/14 05:43:35 - mmengine - INFO - Epoch(train) [60][900/940] lr: 1.0000e-03 eta: 5:46:48 time: 0.5454 data_time: 0.0340 memory: 31836 grad_norm: 4.8288 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1155 loss: 1.1155 2022/10/14 05:43:46 - mmengine - INFO - Epoch(train) [60][920/940] lr: 1.0000e-03 eta: 5:46:37 time: 0.5441 data_time: 0.0291 memory: 31836 grad_norm: 4.8555 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0599 loss: 1.0599 2022/10/14 05:43:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:43:56 - mmengine - INFO - Epoch(train) [60][940/940] lr: 1.0000e-03 eta: 5:46:25 time: 0.5272 data_time: 0.0228 memory: 31836 grad_norm: 5.0617 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1087 loss: 1.1087 2022/10/14 05:43:56 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/10/14 05:44:11 - mmengine - INFO - Epoch(val) [60][20/78] eta: 0:00:40 time: 0.6923 data_time: 0.5432 memory: 3561 2022/10/14 05:44:20 - mmengine - INFO - Epoch(val) [60][40/78] eta: 0:00:17 time: 0.4475 data_time: 0.2999 memory: 3561 2022/10/14 05:44:31 - mmengine - INFO - Epoch(val) [60][60/78] eta: 0:00:09 time: 0.5358 data_time: 0.3884 memory: 3561 2022/10/14 05:44:41 - mmengine - INFO - Epoch(val) [60][78/78] acc/top1: 0.6919 acc/top5: 0.8820 acc/mean1: 0.6917 2022/10/14 05:44:56 - mmengine - INFO - Epoch(train) [61][20/940] lr: 1.0000e-03 eta: 5:46:17 time: 0.7635 data_time: 0.2303 memory: 31836 grad_norm: 4.7266 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1105 loss: 1.1105 2022/10/14 05:45:07 - mmengine - INFO - Epoch(train) [61][40/940] lr: 1.0000e-03 eta: 5:46:06 time: 0.5547 data_time: 0.0288 memory: 31836 grad_norm: 4.7803 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/10/14 05:45:19 - mmengine - INFO - Epoch(train) [61][60/940] lr: 1.0000e-03 eta: 5:45:55 time: 0.5662 data_time: 0.0408 memory: 31836 grad_norm: 4.8847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/10/14 05:45:30 - mmengine - INFO - Epoch(train) [61][80/940] lr: 1.0000e-03 eta: 5:45:44 time: 0.5496 data_time: 0.0251 memory: 31836 grad_norm: 4.7842 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9152 loss: 0.9152 2022/10/14 05:45:41 - mmengine - INFO - Epoch(train) [61][100/940] lr: 1.0000e-03 eta: 5:45:33 time: 0.5528 data_time: 0.0313 memory: 31836 grad_norm: 4.8341 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0053 loss: 1.0053 2022/10/14 05:45:52 - mmengine - INFO - Epoch(train) [61][120/940] lr: 1.0000e-03 eta: 5:45:22 time: 0.5485 data_time: 0.0262 memory: 31836 grad_norm: 4.9110 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.0812 loss: 1.0812 2022/10/14 05:46:03 - mmengine - INFO - Epoch(train) [61][140/940] lr: 1.0000e-03 eta: 5:45:11 time: 0.5453 data_time: 0.0291 memory: 31836 grad_norm: 4.8548 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9158 loss: 0.9158 2022/10/14 05:46:14 - mmengine - INFO - Epoch(train) [61][160/940] lr: 1.0000e-03 eta: 5:44:59 time: 0.5434 data_time: 0.0264 memory: 31836 grad_norm: 4.9346 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0571 loss: 1.0571 2022/10/14 05:46:25 - mmengine - INFO - Epoch(train) [61][180/940] lr: 1.0000e-03 eta: 5:44:48 time: 0.5479 data_time: 0.0284 memory: 31836 grad_norm: 4.8096 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9348 loss: 0.9348 2022/10/14 05:46:36 - mmengine - INFO - Epoch(train) [61][200/940] lr: 1.0000e-03 eta: 5:44:37 time: 0.5530 data_time: 0.0261 memory: 31836 grad_norm: 4.7959 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9962 loss: 0.9962 2022/10/14 05:46:47 - mmengine - INFO - Epoch(train) [61][220/940] lr: 1.0000e-03 eta: 5:44:26 time: 0.5456 data_time: 0.0261 memory: 31836 grad_norm: 4.8118 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9603 loss: 0.9603 2022/10/14 05:46:57 - mmengine - INFO - Epoch(train) [61][240/940] lr: 1.0000e-03 eta: 5:44:15 time: 0.5438 data_time: 0.0302 memory: 31836 grad_norm: 4.7802 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/10/14 05:47:08 - mmengine - INFO - Epoch(train) [61][260/940] lr: 1.0000e-03 eta: 5:44:04 time: 0.5468 data_time: 0.0262 memory: 31836 grad_norm: 4.8939 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0175 loss: 1.0175 2022/10/14 05:47:19 - mmengine - INFO - Epoch(train) [61][280/940] lr: 1.0000e-03 eta: 5:43:53 time: 0.5453 data_time: 0.0284 memory: 31836 grad_norm: 4.8622 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0902 loss: 1.0902 2022/10/14 05:47:30 - mmengine - INFO - Epoch(train) [61][300/940] lr: 1.0000e-03 eta: 5:43:41 time: 0.5409 data_time: 0.0252 memory: 31836 grad_norm: 4.8828 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0560 loss: 1.0560 2022/10/14 05:47:41 - mmengine - INFO - Epoch(train) [61][320/940] lr: 1.0000e-03 eta: 5:43:30 time: 0.5504 data_time: 0.0313 memory: 31836 grad_norm: 4.8250 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0866 loss: 1.0866 2022/10/14 05:47:52 - mmengine - INFO - Epoch(train) [61][340/940] lr: 1.0000e-03 eta: 5:43:19 time: 0.5435 data_time: 0.0239 memory: 31836 grad_norm: 4.6777 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0265 loss: 1.0265 2022/10/14 05:48:03 - mmengine - INFO - Epoch(train) [61][360/940] lr: 1.0000e-03 eta: 5:43:08 time: 0.5512 data_time: 0.0290 memory: 31836 grad_norm: 4.8941 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0148 loss: 1.0148 2022/10/14 05:48:14 - mmengine - INFO - Epoch(train) [61][380/940] lr: 1.0000e-03 eta: 5:42:57 time: 0.5435 data_time: 0.0281 memory: 31836 grad_norm: 4.9418 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9561 loss: 0.9561 2022/10/14 05:48:25 - mmengine - INFO - Epoch(train) [61][400/940] lr: 1.0000e-03 eta: 5:42:46 time: 0.5474 data_time: 0.0266 memory: 31836 grad_norm: 5.0384 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0837 loss: 1.0837 2022/10/14 05:48:36 - mmengine - INFO - Epoch(train) [61][420/940] lr: 1.0000e-03 eta: 5:42:35 time: 0.5380 data_time: 0.0239 memory: 31836 grad_norm: 4.8068 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9257 loss: 0.9257 2022/10/14 05:48:47 - mmengine - INFO - Epoch(train) [61][440/940] lr: 1.0000e-03 eta: 5:42:23 time: 0.5502 data_time: 0.0248 memory: 31836 grad_norm: 4.7137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9897 loss: 0.9897 2022/10/14 05:48:58 - mmengine - INFO - Epoch(train) [61][460/940] lr: 1.0000e-03 eta: 5:42:12 time: 0.5467 data_time: 0.0312 memory: 31836 grad_norm: 4.7468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/10/14 05:49:08 - mmengine - INFO - Epoch(train) [61][480/940] lr: 1.0000e-03 eta: 5:42:01 time: 0.5445 data_time: 0.0244 memory: 31836 grad_norm: 4.8562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9568 loss: 0.9568 2022/10/14 05:49:19 - mmengine - INFO - Epoch(train) [61][500/940] lr: 1.0000e-03 eta: 5:41:50 time: 0.5433 data_time: 0.0308 memory: 31836 grad_norm: 4.8534 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/10/14 05:49:30 - mmengine - INFO - Epoch(train) [61][520/940] lr: 1.0000e-03 eta: 5:41:39 time: 0.5406 data_time: 0.0295 memory: 31836 grad_norm: 4.7784 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8793 loss: 0.8793 2022/10/14 05:49:41 - mmengine - INFO - Epoch(train) [61][540/940] lr: 1.0000e-03 eta: 5:41:28 time: 0.5478 data_time: 0.0332 memory: 31836 grad_norm: 4.8481 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0125 loss: 1.0125 2022/10/14 05:49:53 - mmengine - INFO - Epoch(train) [61][560/940] lr: 1.0000e-03 eta: 5:41:17 time: 0.5947 data_time: 0.0304 memory: 31836 grad_norm: 4.8488 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9630 loss: 0.9630 2022/10/14 05:50:04 - mmengine - INFO - Epoch(train) [61][580/940] lr: 1.0000e-03 eta: 5:41:06 time: 0.5523 data_time: 0.0345 memory: 31836 grad_norm: 4.7847 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0097 loss: 1.0097 2022/10/14 05:50:15 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:50:15 - mmengine - INFO - Epoch(train) [61][600/940] lr: 1.0000e-03 eta: 5:40:55 time: 0.5481 data_time: 0.0294 memory: 31836 grad_norm: 4.8964 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0374 loss: 1.0374 2022/10/14 05:50:26 - mmengine - INFO - Epoch(train) [61][620/940] lr: 1.0000e-03 eta: 5:40:44 time: 0.5474 data_time: 0.0340 memory: 31836 grad_norm: 4.8990 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/10/14 05:50:37 - mmengine - INFO - Epoch(train) [61][640/940] lr: 1.0000e-03 eta: 5:40:33 time: 0.5450 data_time: 0.0235 memory: 31836 grad_norm: 5.0738 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0919 loss: 1.0919 2022/10/14 05:50:48 - mmengine - INFO - Epoch(train) [61][660/940] lr: 1.0000e-03 eta: 5:40:21 time: 0.5430 data_time: 0.0284 memory: 31836 grad_norm: 4.9433 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9767 loss: 0.9767 2022/10/14 05:50:58 - mmengine - INFO - Epoch(train) [61][680/940] lr: 1.0000e-03 eta: 5:40:10 time: 0.5398 data_time: 0.0242 memory: 31836 grad_norm: 4.9467 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0855 loss: 1.0855 2022/10/14 05:51:09 - mmengine - INFO - Epoch(train) [61][700/940] lr: 1.0000e-03 eta: 5:39:59 time: 0.5381 data_time: 0.0276 memory: 31836 grad_norm: 4.9668 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9629 loss: 0.9629 2022/10/14 05:51:20 - mmengine - INFO - Epoch(train) [61][720/940] lr: 1.0000e-03 eta: 5:39:48 time: 0.5446 data_time: 0.0314 memory: 31836 grad_norm: 4.7682 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9215 loss: 0.9215 2022/10/14 05:51:31 - mmengine - INFO - Epoch(train) [61][740/940] lr: 1.0000e-03 eta: 5:39:37 time: 0.5454 data_time: 0.0273 memory: 31836 grad_norm: 4.8812 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9923 loss: 0.9923 2022/10/14 05:51:42 - mmengine - INFO - Epoch(train) [61][760/940] lr: 1.0000e-03 eta: 5:39:26 time: 0.5470 data_time: 0.0262 memory: 31836 grad_norm: 4.8836 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0418 loss: 1.0418 2022/10/14 05:51:53 - mmengine - INFO - Epoch(train) [61][780/940] lr: 1.0000e-03 eta: 5:39:14 time: 0.5506 data_time: 0.0319 memory: 31836 grad_norm: 4.9066 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 0.9785 loss: 0.9785 2022/10/14 05:52:04 - mmengine - INFO - Epoch(train) [61][800/940] lr: 1.0000e-03 eta: 5:39:03 time: 0.5448 data_time: 0.0297 memory: 31836 grad_norm: 4.9515 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/10/14 05:52:15 - mmengine - INFO - Epoch(train) [61][820/940] lr: 1.0000e-03 eta: 5:38:52 time: 0.5429 data_time: 0.0292 memory: 31836 grad_norm: 4.8602 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/10/14 05:52:26 - mmengine - INFO - Epoch(train) [61][840/940] lr: 1.0000e-03 eta: 5:38:41 time: 0.5425 data_time: 0.0331 memory: 31836 grad_norm: 4.8007 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9455 loss: 0.9455 2022/10/14 05:52:36 - mmengine - INFO - Epoch(train) [61][860/940] lr: 1.0000e-03 eta: 5:38:30 time: 0.5427 data_time: 0.0258 memory: 31836 grad_norm: 4.7663 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9440 loss: 0.9440 2022/10/14 05:52:47 - mmengine - INFO - Epoch(train) [61][880/940] lr: 1.0000e-03 eta: 5:38:19 time: 0.5495 data_time: 0.0317 memory: 31836 grad_norm: 4.7745 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0706 loss: 1.0706 2022/10/14 05:52:58 - mmengine - INFO - Epoch(train) [61][900/940] lr: 1.0000e-03 eta: 5:38:07 time: 0.5397 data_time: 0.0326 memory: 31836 grad_norm: 4.9025 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1476 loss: 1.1476 2022/10/14 05:53:09 - mmengine - INFO - Epoch(train) [61][920/940] lr: 1.0000e-03 eta: 5:37:56 time: 0.5385 data_time: 0.0251 memory: 31836 grad_norm: 4.8360 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0166 loss: 1.0166 2022/10/14 05:53:19 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 05:53:19 - mmengine - INFO - Epoch(train) [61][940/940] lr: 1.0000e-03 eta: 5:37:45 time: 0.5072 data_time: 0.0222 memory: 31836 grad_norm: 5.1519 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0832 loss: 1.0832 2022/10/14 05:53:32 - mmengine - INFO - Epoch(val) [61][20/78] eta: 0:00:36 time: 0.6265 data_time: 0.4757 memory: 3561 2022/10/14 05:53:40 - mmengine - INFO - Epoch(val) [61][40/78] eta: 0:00:16 time: 0.4232 data_time: 0.2756 memory: 3561 2022/10/14 05:53:52 - mmengine - INFO - Epoch(val) [61][60/78] eta: 0:00:10 time: 0.5838 data_time: 0.4345 memory: 3561 2022/10/14 05:54:03 - mmengine - INFO - Epoch(val) [61][78/78] acc/top1: 0.6941 acc/top5: 0.8811 acc/mean1: 0.6940 2022/10/14 05:54:18 - mmengine - INFO - Epoch(train) [62][20/940] lr: 1.0000e-03 eta: 5:37:36 time: 0.7822 data_time: 0.2115 memory: 31836 grad_norm: 4.7837 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8798 loss: 0.8798 2022/10/14 05:54:30 - mmengine - INFO - Epoch(train) [62][40/940] lr: 1.0000e-03 eta: 5:37:25 time: 0.5565 data_time: 0.0234 memory: 31836 grad_norm: 4.7920 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9842 loss: 0.9842 2022/10/14 05:54:41 - mmengine - INFO - Epoch(train) [62][60/940] lr: 1.0000e-03 eta: 5:37:14 time: 0.5557 data_time: 0.0269 memory: 31836 grad_norm: 4.9021 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/10/14 05:54:52 - mmengine - INFO - Epoch(train) [62][80/940] lr: 1.0000e-03 eta: 5:37:03 time: 0.5589 data_time: 0.0276 memory: 31836 grad_norm: 4.8505 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0296 loss: 1.0296 2022/10/14 05:55:03 - mmengine - INFO - Epoch(train) [62][100/940] lr: 1.0000e-03 eta: 5:36:52 time: 0.5417 data_time: 0.0276 memory: 31836 grad_norm: 4.8158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9450 loss: 0.9450 2022/10/14 05:55:14 - mmengine - INFO - Epoch(train) [62][120/940] lr: 1.0000e-03 eta: 5:36:41 time: 0.5446 data_time: 0.0316 memory: 31836 grad_norm: 4.7989 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9879 loss: 0.9879 2022/10/14 05:55:24 - mmengine - INFO - Epoch(train) [62][140/940] lr: 1.0000e-03 eta: 5:36:30 time: 0.5437 data_time: 0.0243 memory: 31836 grad_norm: 4.9645 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1433 loss: 1.1433 2022/10/14 05:55:35 - mmengine - INFO - Epoch(train) [62][160/940] lr: 1.0000e-03 eta: 5:36:19 time: 0.5485 data_time: 0.0272 memory: 31836 grad_norm: 4.8811 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9480 loss: 0.9480 2022/10/14 05:55:46 - mmengine - INFO - Epoch(train) [62][180/940] lr: 1.0000e-03 eta: 5:36:08 time: 0.5447 data_time: 0.0314 memory: 31836 grad_norm: 4.7287 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0273 loss: 1.0273 2022/10/14 05:55:57 - mmengine - INFO - Epoch(train) [62][200/940] lr: 1.0000e-03 eta: 5:35:56 time: 0.5396 data_time: 0.0291 memory: 31836 grad_norm: 4.8396 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0169 loss: 1.0169 2022/10/14 05:56:08 - mmengine - INFO - Epoch(train) [62][220/940] lr: 1.0000e-03 eta: 5:35:45 time: 0.5411 data_time: 0.0294 memory: 31836 grad_norm: 4.8024 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0127 loss: 1.0127 2022/10/14 05:56:19 - mmengine - INFO - Epoch(train) [62][240/940] lr: 1.0000e-03 eta: 5:35:34 time: 0.5477 data_time: 0.0282 memory: 31836 grad_norm: 4.7965 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9069 loss: 0.9069 2022/10/14 05:56:30 - mmengine - INFO - Epoch(train) [62][260/940] lr: 1.0000e-03 eta: 5:35:23 time: 0.5410 data_time: 0.0269 memory: 31836 grad_norm: 4.9219 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0112 loss: 1.0112 2022/10/14 05:56:41 - mmengine - INFO - Epoch(train) [62][280/940] lr: 1.0000e-03 eta: 5:35:12 time: 0.5467 data_time: 0.0241 memory: 31836 grad_norm: 4.9295 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0176 loss: 1.0176 2022/10/14 05:56:51 - mmengine - INFO - Epoch(train) [62][300/940] lr: 1.0000e-03 eta: 5:35:00 time: 0.5411 data_time: 0.0294 memory: 31836 grad_norm: 4.7891 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9993 loss: 0.9993 2022/10/14 05:57:02 - mmengine - INFO - Epoch(train) [62][320/940] lr: 1.0000e-03 eta: 5:34:49 time: 0.5482 data_time: 0.0271 memory: 31836 grad_norm: 4.8240 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0918 loss: 1.0918 2022/10/14 05:57:13 - mmengine - INFO - Epoch(train) [62][340/940] lr: 1.0000e-03 eta: 5:34:38 time: 0.5457 data_time: 0.0312 memory: 31836 grad_norm: 4.8150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/10/14 05:57:24 - mmengine - INFO - Epoch(train) [62][360/940] lr: 1.0000e-03 eta: 5:34:27 time: 0.5518 data_time: 0.0334 memory: 31836 grad_norm: 5.0171 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0520 loss: 1.0520 2022/10/14 05:57:35 - mmengine - INFO - Epoch(train) [62][380/940] lr: 1.0000e-03 eta: 5:34:16 time: 0.5403 data_time: 0.0239 memory: 31836 grad_norm: 4.9588 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1276 loss: 1.1276 2022/10/14 05:57:46 - mmengine - INFO - Epoch(train) [62][400/940] lr: 1.0000e-03 eta: 5:34:05 time: 0.5500 data_time: 0.0296 memory: 31836 grad_norm: 4.8444 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9315 loss: 0.9315 2022/10/14 05:57:57 - mmengine - INFO - Epoch(train) [62][420/940] lr: 1.0000e-03 eta: 5:33:54 time: 0.5447 data_time: 0.0306 memory: 31836 grad_norm: 4.8473 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9609 loss: 0.9609 2022/10/14 05:58:08 - mmengine - INFO - Epoch(train) [62][440/940] lr: 1.0000e-03 eta: 5:33:43 time: 0.5487 data_time: 0.0258 memory: 31836 grad_norm: 4.9267 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8872 loss: 0.8872 2022/10/14 05:58:19 - mmengine - INFO - Epoch(train) [62][460/940] lr: 1.0000e-03 eta: 5:33:31 time: 0.5438 data_time: 0.0234 memory: 31836 grad_norm: 4.9503 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/10/14 05:58:30 - mmengine - INFO - Epoch(train) [62][480/940] lr: 1.0000e-03 eta: 5:33:20 time: 0.5533 data_time: 0.0285 memory: 31836 grad_norm: 4.7482 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9476 loss: 0.9476 2022/10/14 05:58:41 - mmengine - INFO - Epoch(train) [62][500/940] lr: 1.0000e-03 eta: 5:33:09 time: 0.5459 data_time: 0.0365 memory: 31836 grad_norm: 4.8695 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9449 loss: 0.9449 2022/10/14 05:58:52 - mmengine - INFO - Epoch(train) [62][520/940] lr: 1.0000e-03 eta: 5:32:58 time: 0.5385 data_time: 0.0278 memory: 31836 grad_norm: 4.7187 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9777 loss: 0.9777 2022/10/14 05:59:03 - mmengine - INFO - Epoch(train) [62][540/940] lr: 1.0000e-03 eta: 5:32:47 time: 0.5472 data_time: 0.0294 memory: 31836 grad_norm: 4.9219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9458 loss: 0.9458 2022/10/14 05:59:14 - mmengine - INFO - Epoch(train) [62][560/940] lr: 1.0000e-03 eta: 5:32:36 time: 0.5494 data_time: 0.0307 memory: 31836 grad_norm: 4.8059 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0430 loss: 1.0430 2022/10/14 05:59:24 - mmengine - INFO - Epoch(train) [62][580/940] lr: 1.0000e-03 eta: 5:32:25 time: 0.5413 data_time: 0.0281 memory: 31836 grad_norm: 4.9867 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1804 loss: 1.1804 2022/10/14 05:59:36 - mmengine - INFO - Epoch(train) [62][600/940] lr: 1.0000e-03 eta: 5:32:14 time: 0.5556 data_time: 0.0304 memory: 31836 grad_norm: 4.8698 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1071 loss: 1.1071 2022/10/14 05:59:47 - mmengine - INFO - Epoch(train) [62][620/940] lr: 1.0000e-03 eta: 5:32:03 time: 0.5949 data_time: 0.0248 memory: 31836 grad_norm: 4.8943 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0359 loss: 1.0359 2022/10/14 05:59:59 - mmengine - INFO - Epoch(train) [62][640/940] lr: 1.0000e-03 eta: 5:31:52 time: 0.5879 data_time: 0.0270 memory: 31836 grad_norm: 4.8537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1066 loss: 1.1066 2022/10/14 06:00:10 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:00:10 - mmengine - INFO - Epoch(train) [62][660/940] lr: 1.0000e-03 eta: 5:31:41 time: 0.5546 data_time: 0.0297 memory: 31836 grad_norm: 4.8744 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/10/14 06:00:21 - mmengine - INFO - Epoch(train) [62][680/940] lr: 1.0000e-03 eta: 5:31:30 time: 0.5506 data_time: 0.0253 memory: 31836 grad_norm: 4.9246 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9376 loss: 0.9376 2022/10/14 06:00:33 - mmengine - INFO - Epoch(train) [62][700/940] lr: 1.0000e-03 eta: 5:31:19 time: 0.5741 data_time: 0.0266 memory: 31836 grad_norm: 4.8768 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1094 loss: 1.1094 2022/10/14 06:00:44 - mmengine - INFO - Epoch(train) [62][720/940] lr: 1.0000e-03 eta: 5:31:08 time: 0.5581 data_time: 0.0282 memory: 31836 grad_norm: 4.8601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8894 loss: 0.8894 2022/10/14 06:00:55 - mmengine - INFO - Epoch(train) [62][740/940] lr: 1.0000e-03 eta: 5:30:57 time: 0.5522 data_time: 0.0316 memory: 31836 grad_norm: 4.7934 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0201 loss: 1.0201 2022/10/14 06:01:06 - mmengine - INFO - Epoch(train) [62][760/940] lr: 1.0000e-03 eta: 5:30:46 time: 0.5466 data_time: 0.0252 memory: 31836 grad_norm: 4.8925 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0483 loss: 1.0483 2022/10/14 06:01:17 - mmengine - INFO - Epoch(train) [62][780/940] lr: 1.0000e-03 eta: 5:30:35 time: 0.5459 data_time: 0.0281 memory: 31836 grad_norm: 5.0290 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0780 loss: 1.0780 2022/10/14 06:01:28 - mmengine - INFO - Epoch(train) [62][800/940] lr: 1.0000e-03 eta: 5:30:24 time: 0.5438 data_time: 0.0236 memory: 31836 grad_norm: 4.7887 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0090 loss: 1.0090 2022/10/14 06:01:39 - mmengine - INFO - Epoch(train) [62][820/940] lr: 1.0000e-03 eta: 5:30:13 time: 0.5493 data_time: 0.0330 memory: 31836 grad_norm: 4.9584 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9052 loss: 0.9052 2022/10/14 06:01:50 - mmengine - INFO - Epoch(train) [62][840/940] lr: 1.0000e-03 eta: 5:30:02 time: 0.5441 data_time: 0.0244 memory: 31836 grad_norm: 4.8825 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9453 loss: 0.9453 2022/10/14 06:02:01 - mmengine - INFO - Epoch(train) [62][860/940] lr: 1.0000e-03 eta: 5:29:51 time: 0.5497 data_time: 0.0279 memory: 31836 grad_norm: 4.8381 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9213 loss: 0.9213 2022/10/14 06:02:12 - mmengine - INFO - Epoch(train) [62][880/940] lr: 1.0000e-03 eta: 5:29:40 time: 0.5477 data_time: 0.0246 memory: 31836 grad_norm: 4.7863 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0586 loss: 1.0586 2022/10/14 06:02:23 - mmengine - INFO - Epoch(train) [62][900/940] lr: 1.0000e-03 eta: 5:29:28 time: 0.5489 data_time: 0.0265 memory: 31836 grad_norm: 4.7168 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9135 loss: 0.9135 2022/10/14 06:02:34 - mmengine - INFO - Epoch(train) [62][920/940] lr: 1.0000e-03 eta: 5:29:17 time: 0.5529 data_time: 0.0331 memory: 31836 grad_norm: 4.8704 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0302 loss: 1.0302 2022/10/14 06:02:44 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:02:44 - mmengine - INFO - Epoch(train) [62][940/940] lr: 1.0000e-03 eta: 5:29:06 time: 0.5134 data_time: 0.0233 memory: 31836 grad_norm: 5.2562 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9325 loss: 0.9325 2022/10/14 06:02:59 - mmengine - INFO - Epoch(val) [62][20/78] eta: 0:00:44 time: 0.7653 data_time: 0.6175 memory: 3561 2022/10/14 06:03:11 - mmengine - INFO - Epoch(val) [62][40/78] eta: 0:00:22 time: 0.6016 data_time: 0.4523 memory: 3561 2022/10/14 06:03:20 - mmengine - INFO - Epoch(val) [62][60/78] eta: 0:00:07 time: 0.4272 data_time: 0.2787 memory: 3561 2022/10/14 06:03:29 - mmengine - INFO - Epoch(val) [62][78/78] acc/top1: 0.6928 acc/top5: 0.8803 acc/mean1: 0.6927 2022/10/14 06:03:45 - mmengine - INFO - Epoch(train) [63][20/940] lr: 1.0000e-03 eta: 5:28:58 time: 0.7823 data_time: 0.2075 memory: 31836 grad_norm: 4.8969 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9848 loss: 0.9848 2022/10/14 06:03:56 - mmengine - INFO - Epoch(train) [63][40/940] lr: 1.0000e-03 eta: 5:28:47 time: 0.5601 data_time: 0.0323 memory: 31836 grad_norm: 4.9269 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/10/14 06:04:08 - mmengine - INFO - Epoch(train) [63][60/940] lr: 1.0000e-03 eta: 5:28:36 time: 0.5764 data_time: 0.0266 memory: 31836 grad_norm: 4.8789 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0342 loss: 1.0342 2022/10/14 06:04:19 - mmengine - INFO - Epoch(train) [63][80/940] lr: 1.0000e-03 eta: 5:28:25 time: 0.5601 data_time: 0.0379 memory: 31836 grad_norm: 4.7499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0352 loss: 1.0352 2022/10/14 06:04:30 - mmengine - INFO - Epoch(train) [63][100/940] lr: 1.0000e-03 eta: 5:28:14 time: 0.5593 data_time: 0.0242 memory: 31836 grad_norm: 4.8467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9365 loss: 0.9365 2022/10/14 06:04:41 - mmengine - INFO - Epoch(train) [63][120/940] lr: 1.0000e-03 eta: 5:28:03 time: 0.5440 data_time: 0.0275 memory: 31836 grad_norm: 5.0359 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0924 loss: 1.0924 2022/10/14 06:04:52 - mmengine - INFO - Epoch(train) [63][140/940] lr: 1.0000e-03 eta: 5:27:52 time: 0.5493 data_time: 0.0282 memory: 31836 grad_norm: 4.8552 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0098 loss: 1.0098 2022/10/14 06:05:03 - mmengine - INFO - Epoch(train) [63][160/940] lr: 1.0000e-03 eta: 5:27:40 time: 0.5439 data_time: 0.0261 memory: 31836 grad_norm: 4.8773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9273 loss: 0.9273 2022/10/14 06:05:14 - mmengine - INFO - Epoch(train) [63][180/940] lr: 1.0000e-03 eta: 5:27:29 time: 0.5482 data_time: 0.0291 memory: 31836 grad_norm: 4.9471 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0053 loss: 1.0053 2022/10/14 06:05:24 - mmengine - INFO - Epoch(train) [63][200/940] lr: 1.0000e-03 eta: 5:27:18 time: 0.5342 data_time: 0.0254 memory: 31836 grad_norm: 4.8095 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1426 loss: 1.1426 2022/10/14 06:05:35 - mmengine - INFO - Epoch(train) [63][220/940] lr: 1.0000e-03 eta: 5:27:07 time: 0.5485 data_time: 0.0288 memory: 31836 grad_norm: 5.0118 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0668 loss: 1.0668 2022/10/14 06:05:46 - mmengine - INFO - Epoch(train) [63][240/940] lr: 1.0000e-03 eta: 5:26:56 time: 0.5480 data_time: 0.0303 memory: 31836 grad_norm: 4.8305 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9553 loss: 0.9553 2022/10/14 06:05:57 - mmengine - INFO - Epoch(train) [63][260/940] lr: 1.0000e-03 eta: 5:26:45 time: 0.5450 data_time: 0.0274 memory: 31836 grad_norm: 4.9678 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.0270 loss: 1.0270 2022/10/14 06:06:08 - mmengine - INFO - Epoch(train) [63][280/940] lr: 1.0000e-03 eta: 5:26:33 time: 0.5416 data_time: 0.0327 memory: 31836 grad_norm: 4.9103 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9742 loss: 0.9742 2022/10/14 06:06:19 - mmengine - INFO - Epoch(train) [63][300/940] lr: 1.0000e-03 eta: 5:26:22 time: 0.5465 data_time: 0.0334 memory: 31836 grad_norm: 4.9826 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9470 loss: 0.9470 2022/10/14 06:06:30 - mmengine - INFO - Epoch(train) [63][320/940] lr: 1.0000e-03 eta: 5:26:11 time: 0.5359 data_time: 0.0258 memory: 31836 grad_norm: 4.9560 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0870 loss: 1.0870 2022/10/14 06:06:40 - mmengine - INFO - Epoch(train) [63][340/940] lr: 1.0000e-03 eta: 5:26:00 time: 0.5422 data_time: 0.0255 memory: 31836 grad_norm: 4.8164 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0553 loss: 1.0553 2022/10/14 06:06:51 - mmengine - INFO - Epoch(train) [63][360/940] lr: 1.0000e-03 eta: 5:25:49 time: 0.5450 data_time: 0.0297 memory: 31836 grad_norm: 4.8524 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9437 loss: 0.9437 2022/10/14 06:07:02 - mmengine - INFO - Epoch(train) [63][380/940] lr: 1.0000e-03 eta: 5:25:38 time: 0.5497 data_time: 0.0296 memory: 31836 grad_norm: 4.8916 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0584 loss: 1.0584 2022/10/14 06:07:13 - mmengine - INFO - Epoch(train) [63][400/940] lr: 1.0000e-03 eta: 5:25:26 time: 0.5444 data_time: 0.0298 memory: 31836 grad_norm: 4.8030 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9898 loss: 0.9898 2022/10/14 06:07:24 - mmengine - INFO - Epoch(train) [63][420/940] lr: 1.0000e-03 eta: 5:25:15 time: 0.5480 data_time: 0.0242 memory: 31836 grad_norm: 4.9225 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8956 loss: 0.8956 2022/10/14 06:07:35 - mmengine - INFO - Epoch(train) [63][440/940] lr: 1.0000e-03 eta: 5:25:04 time: 0.5472 data_time: 0.0259 memory: 31836 grad_norm: 4.8315 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.0186 loss: 1.0186 2022/10/14 06:07:46 - mmengine - INFO - Epoch(train) [63][460/940] lr: 1.0000e-03 eta: 5:24:53 time: 0.5445 data_time: 0.0272 memory: 31836 grad_norm: 5.0015 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0032 loss: 1.0032 2022/10/14 06:07:57 - mmengine - INFO - Epoch(train) [63][480/940] lr: 1.0000e-03 eta: 5:24:42 time: 0.5548 data_time: 0.0284 memory: 31836 grad_norm: 4.8107 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0390 loss: 1.0390 2022/10/14 06:08:08 - mmengine - INFO - Epoch(train) [63][500/940] lr: 1.0000e-03 eta: 5:24:31 time: 0.5474 data_time: 0.0273 memory: 31836 grad_norm: 4.7789 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 0.9764 loss: 0.9764 2022/10/14 06:08:19 - mmengine - INFO - Epoch(train) [63][520/940] lr: 1.0000e-03 eta: 5:24:20 time: 0.5560 data_time: 0.0274 memory: 31836 grad_norm: 4.8355 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0022 loss: 1.0022 2022/10/14 06:08:30 - mmengine - INFO - Epoch(train) [63][540/940] lr: 1.0000e-03 eta: 5:24:09 time: 0.5519 data_time: 0.0265 memory: 31836 grad_norm: 4.8807 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9194 loss: 0.9194 2022/10/14 06:08:41 - mmengine - INFO - Epoch(train) [63][560/940] lr: 1.0000e-03 eta: 5:23:58 time: 0.5448 data_time: 0.0253 memory: 31836 grad_norm: 4.8549 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1087 loss: 1.1087 2022/10/14 06:08:52 - mmengine - INFO - Epoch(train) [63][580/940] lr: 1.0000e-03 eta: 5:23:46 time: 0.5432 data_time: 0.0244 memory: 31836 grad_norm: 4.9274 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0017 loss: 1.0017 2022/10/14 06:09:03 - mmengine - INFO - Epoch(train) [63][600/940] lr: 1.0000e-03 eta: 5:23:35 time: 0.5430 data_time: 0.0253 memory: 31836 grad_norm: 4.8370 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9123 loss: 0.9123 2022/10/14 06:09:14 - mmengine - INFO - Epoch(train) [63][620/940] lr: 1.0000e-03 eta: 5:23:24 time: 0.5508 data_time: 0.0332 memory: 31836 grad_norm: 4.9370 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0001 loss: 1.0001 2022/10/14 06:09:25 - mmengine - INFO - Epoch(train) [63][640/940] lr: 1.0000e-03 eta: 5:23:13 time: 0.5451 data_time: 0.0260 memory: 31836 grad_norm: 4.8690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/10/14 06:09:36 - mmengine - INFO - Epoch(train) [63][660/940] lr: 1.0000e-03 eta: 5:23:02 time: 0.5488 data_time: 0.0260 memory: 31836 grad_norm: 4.8992 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9887 loss: 0.9887 2022/10/14 06:09:47 - mmengine - INFO - Epoch(train) [63][680/940] lr: 1.0000e-03 eta: 5:22:51 time: 0.5417 data_time: 0.0317 memory: 31836 grad_norm: 4.8962 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9803 loss: 0.9803 2022/10/14 06:09:58 - mmengine - INFO - Epoch(train) [63][700/940] lr: 1.0000e-03 eta: 5:22:40 time: 0.5508 data_time: 0.0318 memory: 31836 grad_norm: 4.9010 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0137 loss: 1.0137 2022/10/14 06:10:09 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:10:09 - mmengine - INFO - Epoch(train) [63][720/940] lr: 1.0000e-03 eta: 5:22:29 time: 0.5443 data_time: 0.0306 memory: 31836 grad_norm: 4.7944 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9950 loss: 0.9950 2022/10/14 06:10:19 - mmengine - INFO - Epoch(train) [63][740/940] lr: 1.0000e-03 eta: 5:22:17 time: 0.5432 data_time: 0.0323 memory: 31836 grad_norm: 4.8916 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0606 loss: 1.0606 2022/10/14 06:10:30 - mmengine - INFO - Epoch(train) [63][760/940] lr: 1.0000e-03 eta: 5:22:06 time: 0.5495 data_time: 0.0303 memory: 31836 grad_norm: 4.8343 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8646 loss: 0.8646 2022/10/14 06:10:41 - mmengine - INFO - Epoch(train) [63][780/940] lr: 1.0000e-03 eta: 5:21:55 time: 0.5421 data_time: 0.0273 memory: 31836 grad_norm: 4.8492 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1074 loss: 1.1074 2022/10/14 06:10:52 - mmengine - INFO - Epoch(train) [63][800/940] lr: 1.0000e-03 eta: 5:21:44 time: 0.5495 data_time: 0.0325 memory: 31836 grad_norm: 4.9082 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0055 loss: 1.0055 2022/10/14 06:11:03 - mmengine - INFO - Epoch(train) [63][820/940] lr: 1.0000e-03 eta: 5:21:33 time: 0.5460 data_time: 0.0306 memory: 31836 grad_norm: 5.0285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0516 loss: 1.0516 2022/10/14 06:11:14 - mmengine - INFO - Epoch(train) [63][840/940] lr: 1.0000e-03 eta: 5:21:22 time: 0.5559 data_time: 0.0244 memory: 31836 grad_norm: 4.8758 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0332 loss: 1.0332 2022/10/14 06:11:25 - mmengine - INFO - Epoch(train) [63][860/940] lr: 1.0000e-03 eta: 5:21:11 time: 0.5601 data_time: 0.0291 memory: 31836 grad_norm: 4.9244 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9659 loss: 0.9659 2022/10/14 06:11:36 - mmengine - INFO - Epoch(train) [63][880/940] lr: 1.0000e-03 eta: 5:21:00 time: 0.5472 data_time: 0.0296 memory: 31836 grad_norm: 4.9463 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/10/14 06:11:47 - mmengine - INFO - Epoch(train) [63][900/940] lr: 1.0000e-03 eta: 5:20:49 time: 0.5459 data_time: 0.0266 memory: 31836 grad_norm: 4.7821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0075 loss: 1.0075 2022/10/14 06:11:59 - mmengine - INFO - Epoch(train) [63][920/940] lr: 1.0000e-03 eta: 5:20:38 time: 0.5673 data_time: 0.0371 memory: 31836 grad_norm: 4.9299 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9470 loss: 0.9470 2022/10/14 06:12:09 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:12:09 - mmengine - INFO - Epoch(train) [63][940/940] lr: 1.0000e-03 eta: 5:20:26 time: 0.5152 data_time: 0.0204 memory: 31836 grad_norm: 5.1356 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0733 loss: 1.0733 2022/10/14 06:12:09 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/10/14 06:12:23 - mmengine - INFO - Epoch(val) [63][20/78] eta: 0:00:36 time: 0.6218 data_time: 0.4709 memory: 3561 2022/10/14 06:12:32 - mmengine - INFO - Epoch(val) [63][40/78] eta: 0:00:17 time: 0.4521 data_time: 0.3023 memory: 3561 2022/10/14 06:12:43 - mmengine - INFO - Epoch(val) [63][60/78] eta: 0:00:10 time: 0.5779 data_time: 0.4290 memory: 3561 2022/10/14 06:12:53 - mmengine - INFO - Epoch(val) [63][78/78] acc/top1: 0.6940 acc/top5: 0.8835 acc/mean1: 0.6939 2022/10/14 06:13:08 - mmengine - INFO - Epoch(train) [64][20/940] lr: 1.0000e-03 eta: 5:20:18 time: 0.7844 data_time: 0.2203 memory: 31836 grad_norm: 5.1256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/10/14 06:13:19 - mmengine - INFO - Epoch(train) [64][40/940] lr: 1.0000e-03 eta: 5:20:07 time: 0.5517 data_time: 0.0282 memory: 31836 grad_norm: 4.9064 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9825 loss: 0.9825 2022/10/14 06:13:31 - mmengine - INFO - Epoch(train) [64][60/940] lr: 1.0000e-03 eta: 5:19:56 time: 0.6014 data_time: 0.0296 memory: 31836 grad_norm: 4.8980 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/10/14 06:13:42 - mmengine - INFO - Epoch(train) [64][80/940] lr: 1.0000e-03 eta: 5:19:45 time: 0.5475 data_time: 0.0273 memory: 31836 grad_norm: 4.8446 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0827 loss: 1.0827 2022/10/14 06:13:54 - mmengine - INFO - Epoch(train) [64][100/940] lr: 1.0000e-03 eta: 5:19:34 time: 0.5631 data_time: 0.0248 memory: 31836 grad_norm: 4.9542 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9331 loss: 0.9331 2022/10/14 06:14:05 - mmengine - INFO - Epoch(train) [64][120/940] lr: 1.0000e-03 eta: 5:19:23 time: 0.5525 data_time: 0.0306 memory: 31836 grad_norm: 4.8249 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8465 loss: 0.8465 2022/10/14 06:14:16 - mmengine - INFO - Epoch(train) [64][140/940] lr: 1.0000e-03 eta: 5:19:12 time: 0.5559 data_time: 0.0230 memory: 31836 grad_norm: 4.8514 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9547 loss: 0.9547 2022/10/14 06:14:27 - mmengine - INFO - Epoch(train) [64][160/940] lr: 1.0000e-03 eta: 5:19:01 time: 0.5481 data_time: 0.0238 memory: 31836 grad_norm: 4.9952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9356 loss: 0.9356 2022/10/14 06:14:38 - mmengine - INFO - Epoch(train) [64][180/940] lr: 1.0000e-03 eta: 5:18:50 time: 0.5447 data_time: 0.0284 memory: 31836 grad_norm: 4.9423 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0196 loss: 1.0196 2022/10/14 06:14:48 - mmengine - INFO - Epoch(train) [64][200/940] lr: 1.0000e-03 eta: 5:18:39 time: 0.5377 data_time: 0.0247 memory: 31836 grad_norm: 4.9379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/10/14 06:14:59 - mmengine - INFO - Epoch(train) [64][220/940] lr: 1.0000e-03 eta: 5:18:28 time: 0.5433 data_time: 0.0294 memory: 31836 grad_norm: 4.7008 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9447 loss: 0.9447 2022/10/14 06:15:10 - mmengine - INFO - Epoch(train) [64][240/940] lr: 1.0000e-03 eta: 5:18:16 time: 0.5534 data_time: 0.0291 memory: 31836 grad_norm: 4.7484 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9739 loss: 0.9739 2022/10/14 06:15:21 - mmengine - INFO - Epoch(train) [64][260/940] lr: 1.0000e-03 eta: 5:18:05 time: 0.5505 data_time: 0.0389 memory: 31836 grad_norm: 4.9351 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9911 loss: 0.9911 2022/10/14 06:15:32 - mmengine - INFO - Epoch(train) [64][280/940] lr: 1.0000e-03 eta: 5:17:54 time: 0.5487 data_time: 0.0303 memory: 31836 grad_norm: 4.8050 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9688 loss: 0.9688 2022/10/14 06:15:43 - mmengine - INFO - Epoch(train) [64][300/940] lr: 1.0000e-03 eta: 5:17:43 time: 0.5448 data_time: 0.0270 memory: 31836 grad_norm: 4.9480 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0106 loss: 1.0106 2022/10/14 06:15:54 - mmengine - INFO - Epoch(train) [64][320/940] lr: 1.0000e-03 eta: 5:17:32 time: 0.5386 data_time: 0.0251 memory: 31836 grad_norm: 4.9397 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0589 loss: 1.0589 2022/10/14 06:16:05 - mmengine - INFO - Epoch(train) [64][340/940] lr: 1.0000e-03 eta: 5:17:21 time: 0.5446 data_time: 0.0294 memory: 31836 grad_norm: 4.8113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0378 loss: 1.0378 2022/10/14 06:16:16 - mmengine - INFO - Epoch(train) [64][360/940] lr: 1.0000e-03 eta: 5:17:10 time: 0.5532 data_time: 0.0299 memory: 31836 grad_norm: 4.9544 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1154 loss: 1.1154 2022/10/14 06:16:27 - mmengine - INFO - Epoch(train) [64][380/940] lr: 1.0000e-03 eta: 5:16:58 time: 0.5404 data_time: 0.0297 memory: 31836 grad_norm: 4.9291 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9735 loss: 0.9735 2022/10/14 06:16:38 - mmengine - INFO - Epoch(train) [64][400/940] lr: 1.0000e-03 eta: 5:16:47 time: 0.5459 data_time: 0.0255 memory: 31836 grad_norm: 4.8921 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0614 loss: 1.0614 2022/10/14 06:16:49 - mmengine - INFO - Epoch(train) [64][420/940] lr: 1.0000e-03 eta: 5:16:36 time: 0.5467 data_time: 0.0284 memory: 31836 grad_norm: 4.9659 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1174 loss: 1.1174 2022/10/14 06:16:59 - mmengine - INFO - Epoch(train) [64][440/940] lr: 1.0000e-03 eta: 5:16:25 time: 0.5398 data_time: 0.0225 memory: 31836 grad_norm: 4.8853 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9682 loss: 0.9682 2022/10/14 06:17:10 - mmengine - INFO - Epoch(train) [64][460/940] lr: 1.0000e-03 eta: 5:16:14 time: 0.5463 data_time: 0.0327 memory: 31836 grad_norm: 4.8112 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0022 loss: 1.0022 2022/10/14 06:17:21 - mmengine - INFO - Epoch(train) [64][480/940] lr: 1.0000e-03 eta: 5:16:03 time: 0.5481 data_time: 0.0272 memory: 31836 grad_norm: 5.0375 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/10/14 06:17:32 - mmengine - INFO - Epoch(train) [64][500/940] lr: 1.0000e-03 eta: 5:15:52 time: 0.5532 data_time: 0.0264 memory: 31836 grad_norm: 4.8415 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0142 loss: 1.0142 2022/10/14 06:17:43 - mmengine - INFO - Epoch(train) [64][520/940] lr: 1.0000e-03 eta: 5:15:41 time: 0.5531 data_time: 0.0238 memory: 31836 grad_norm: 4.8923 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9084 loss: 0.9084 2022/10/14 06:17:55 - mmengine - INFO - Epoch(train) [64][540/940] lr: 1.0000e-03 eta: 5:15:30 time: 0.5663 data_time: 0.0276 memory: 31836 grad_norm: 4.9508 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0264 loss: 1.0264 2022/10/14 06:18:06 - mmengine - INFO - Epoch(train) [64][560/940] lr: 1.0000e-03 eta: 5:15:19 time: 0.5533 data_time: 0.0300 memory: 31836 grad_norm: 4.7651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8989 loss: 0.8989 2022/10/14 06:18:17 - mmengine - INFO - Epoch(train) [64][580/940] lr: 1.0000e-03 eta: 5:15:08 time: 0.5405 data_time: 0.0259 memory: 31836 grad_norm: 4.8951 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9749 loss: 0.9749 2022/10/14 06:18:28 - mmengine - INFO - Epoch(train) [64][600/940] lr: 1.0000e-03 eta: 5:14:56 time: 0.5423 data_time: 0.0302 memory: 31836 grad_norm: 4.8770 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0184 loss: 1.0184 2022/10/14 06:18:39 - mmengine - INFO - Epoch(train) [64][620/940] lr: 1.0000e-03 eta: 5:14:45 time: 0.5499 data_time: 0.0308 memory: 31836 grad_norm: 4.8386 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9455 loss: 0.9455 2022/10/14 06:18:50 - mmengine - INFO - Epoch(train) [64][640/940] lr: 1.0000e-03 eta: 5:14:34 time: 0.5724 data_time: 0.0295 memory: 31836 grad_norm: 4.8965 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9744 loss: 0.9744 2022/10/14 06:19:01 - mmengine - INFO - Epoch(train) [64][660/940] lr: 1.0000e-03 eta: 5:14:23 time: 0.5481 data_time: 0.0288 memory: 31836 grad_norm: 5.1025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9977 loss: 0.9977 2022/10/14 06:19:12 - mmengine - INFO - Epoch(train) [64][680/940] lr: 1.0000e-03 eta: 5:14:12 time: 0.5484 data_time: 0.0246 memory: 31836 grad_norm: 4.8977 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0311 loss: 1.0311 2022/10/14 06:19:23 - mmengine - INFO - Epoch(train) [64][700/940] lr: 1.0000e-03 eta: 5:14:01 time: 0.5441 data_time: 0.0300 memory: 31836 grad_norm: 4.8477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9245 loss: 0.9245 2022/10/14 06:19:34 - mmengine - INFO - Epoch(train) [64][720/940] lr: 1.0000e-03 eta: 5:13:50 time: 0.5531 data_time: 0.0263 memory: 31836 grad_norm: 5.0258 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0147 loss: 1.0147 2022/10/14 06:19:45 - mmengine - INFO - Epoch(train) [64][740/940] lr: 1.0000e-03 eta: 5:13:39 time: 0.5433 data_time: 0.0328 memory: 31836 grad_norm: 4.9986 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9626 loss: 0.9626 2022/10/14 06:19:56 - mmengine - INFO - Epoch(train) [64][760/940] lr: 1.0000e-03 eta: 5:13:28 time: 0.5819 data_time: 0.0241 memory: 31836 grad_norm: 4.9046 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8972 loss: 0.8972 2022/10/14 06:20:07 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:20:07 - mmengine - INFO - Epoch(train) [64][780/940] lr: 1.0000e-03 eta: 5:13:17 time: 0.5578 data_time: 0.0300 memory: 31836 grad_norm: 4.8734 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9199 loss: 0.9199 2022/10/14 06:20:19 - mmengine - INFO - Epoch(train) [64][800/940] lr: 1.0000e-03 eta: 5:13:06 time: 0.5511 data_time: 0.0259 memory: 31836 grad_norm: 4.9460 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0240 loss: 1.0240 2022/10/14 06:20:29 - mmengine - INFO - Epoch(train) [64][820/940] lr: 1.0000e-03 eta: 5:12:55 time: 0.5463 data_time: 0.0262 memory: 31836 grad_norm: 5.0344 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9314 loss: 0.9314 2022/10/14 06:20:41 - mmengine - INFO - Epoch(train) [64][840/940] lr: 1.0000e-03 eta: 5:12:44 time: 0.5968 data_time: 0.0295 memory: 31836 grad_norm: 4.8870 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0143 loss: 1.0143 2022/10/14 06:20:53 - mmengine - INFO - Epoch(train) [64][860/940] lr: 1.0000e-03 eta: 5:12:33 time: 0.5617 data_time: 0.0245 memory: 31836 grad_norm: 4.9723 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0377 loss: 1.0377 2022/10/14 06:21:04 - mmengine - INFO - Epoch(train) [64][880/940] lr: 1.0000e-03 eta: 5:12:22 time: 0.5550 data_time: 0.0337 memory: 31836 grad_norm: 4.8573 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0146 loss: 1.0146 2022/10/14 06:21:15 - mmengine - INFO - Epoch(train) [64][900/940] lr: 1.0000e-03 eta: 5:12:11 time: 0.5540 data_time: 0.0288 memory: 31836 grad_norm: 4.9678 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0145 loss: 1.0145 2022/10/14 06:21:26 - mmengine - INFO - Epoch(train) [64][920/940] lr: 1.0000e-03 eta: 5:12:00 time: 0.5513 data_time: 0.0280 memory: 31836 grad_norm: 4.9613 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9134 loss: 0.9134 2022/10/14 06:21:36 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:21:36 - mmengine - INFO - Epoch(train) [64][940/940] lr: 1.0000e-03 eta: 5:11:49 time: 0.5185 data_time: 0.0215 memory: 31836 grad_norm: 5.2712 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1379 loss: 1.1379 2022/10/14 06:21:49 - mmengine - INFO - Epoch(val) [64][20/78] eta: 0:00:37 time: 0.6396 data_time: 0.4873 memory: 3561 2022/10/14 06:21:58 - mmengine - INFO - Epoch(val) [64][40/78] eta: 0:00:17 time: 0.4572 data_time: 0.3093 memory: 3561 2022/10/14 06:22:09 - mmengine - INFO - Epoch(val) [64][60/78] eta: 0:00:10 time: 0.5640 data_time: 0.4151 memory: 3561 2022/10/14 06:22:20 - mmengine - INFO - Epoch(val) [64][78/78] acc/top1: 0.6902 acc/top5: 0.8801 acc/mean1: 0.6901 2022/10/14 06:22:36 - mmengine - INFO - Epoch(train) [65][20/940] lr: 1.0000e-03 eta: 5:11:40 time: 0.7697 data_time: 0.1866 memory: 31836 grad_norm: 4.8132 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8882 loss: 0.8882 2022/10/14 06:22:47 - mmengine - INFO - Epoch(train) [65][40/940] lr: 1.0000e-03 eta: 5:11:29 time: 0.5548 data_time: 0.0328 memory: 31836 grad_norm: 4.9684 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0721 loss: 1.0721 2022/10/14 06:22:58 - mmengine - INFO - Epoch(train) [65][60/940] lr: 1.0000e-03 eta: 5:11:18 time: 0.5624 data_time: 0.0310 memory: 31836 grad_norm: 4.8742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9808 loss: 0.9808 2022/10/14 06:23:09 - mmengine - INFO - Epoch(train) [65][80/940] lr: 1.0000e-03 eta: 5:11:07 time: 0.5597 data_time: 0.0249 memory: 31836 grad_norm: 4.9789 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9906 loss: 0.9906 2022/10/14 06:23:21 - mmengine - INFO - Epoch(train) [65][100/940] lr: 1.0000e-03 eta: 5:10:56 time: 0.5613 data_time: 0.0323 memory: 31836 grad_norm: 4.8102 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1416 loss: 1.1416 2022/10/14 06:23:31 - mmengine - INFO - Epoch(train) [65][120/940] lr: 1.0000e-03 eta: 5:10:45 time: 0.5409 data_time: 0.0244 memory: 31836 grad_norm: 4.7905 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9102 loss: 0.9102 2022/10/14 06:23:42 - mmengine - INFO - Epoch(train) [65][140/940] lr: 1.0000e-03 eta: 5:10:34 time: 0.5474 data_time: 0.0315 memory: 31836 grad_norm: 4.8492 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9094 loss: 0.9094 2022/10/14 06:23:53 - mmengine - INFO - Epoch(train) [65][160/940] lr: 1.0000e-03 eta: 5:10:23 time: 0.5542 data_time: 0.0268 memory: 31836 grad_norm: 4.8224 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9624 loss: 0.9624 2022/10/14 06:24:04 - mmengine - INFO - Epoch(train) [65][180/940] lr: 1.0000e-03 eta: 5:10:12 time: 0.5465 data_time: 0.0269 memory: 31836 grad_norm: 4.9608 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9540 loss: 0.9540 2022/10/14 06:24:15 - mmengine - INFO - Epoch(train) [65][200/940] lr: 1.0000e-03 eta: 5:10:01 time: 0.5505 data_time: 0.0281 memory: 31836 grad_norm: 4.9543 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9802 loss: 0.9802 2022/10/14 06:24:26 - mmengine - INFO - Epoch(train) [65][220/940] lr: 1.0000e-03 eta: 5:09:50 time: 0.5498 data_time: 0.0303 memory: 31836 grad_norm: 4.8373 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9289 loss: 0.9289 2022/10/14 06:24:37 - mmengine - INFO - Epoch(train) [65][240/940] lr: 1.0000e-03 eta: 5:09:38 time: 0.5497 data_time: 0.0325 memory: 31836 grad_norm: 4.9952 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9440 loss: 0.9440 2022/10/14 06:24:48 - mmengine - INFO - Epoch(train) [65][260/940] lr: 1.0000e-03 eta: 5:09:27 time: 0.5489 data_time: 0.0268 memory: 31836 grad_norm: 4.8058 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9232 loss: 0.9232 2022/10/14 06:24:59 - mmengine - INFO - Epoch(train) [65][280/940] lr: 1.0000e-03 eta: 5:09:16 time: 0.5421 data_time: 0.0244 memory: 31836 grad_norm: 4.9948 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.0315 loss: 1.0315 2022/10/14 06:25:10 - mmengine - INFO - Epoch(train) [65][300/940] lr: 1.0000e-03 eta: 5:09:05 time: 0.5484 data_time: 0.0266 memory: 31836 grad_norm: 4.9775 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0017 loss: 1.0017 2022/10/14 06:25:21 - mmengine - INFO - Epoch(train) [65][320/940] lr: 1.0000e-03 eta: 5:08:54 time: 0.5540 data_time: 0.0268 memory: 31836 grad_norm: 4.8746 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9414 loss: 0.9414 2022/10/14 06:25:32 - mmengine - INFO - Epoch(train) [65][340/940] lr: 1.0000e-03 eta: 5:08:43 time: 0.5477 data_time: 0.0275 memory: 31836 grad_norm: 4.8934 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8902 loss: 0.8902 2022/10/14 06:25:43 - mmengine - INFO - Epoch(train) [65][360/940] lr: 1.0000e-03 eta: 5:08:32 time: 0.5476 data_time: 0.0287 memory: 31836 grad_norm: 5.0602 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9940 loss: 0.9940 2022/10/14 06:25:54 - mmengine - INFO - Epoch(train) [65][380/940] lr: 1.0000e-03 eta: 5:08:21 time: 0.5437 data_time: 0.0263 memory: 31836 grad_norm: 4.8686 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9494 loss: 0.9494 2022/10/14 06:26:05 - mmengine - INFO - Epoch(train) [65][400/940] lr: 1.0000e-03 eta: 5:08:09 time: 0.5441 data_time: 0.0236 memory: 31836 grad_norm: 5.0105 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1329 loss: 1.1329 2022/10/14 06:26:16 - mmengine - INFO - Epoch(train) [65][420/940] lr: 1.0000e-03 eta: 5:07:58 time: 0.5419 data_time: 0.0232 memory: 31836 grad_norm: 4.9029 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0304 loss: 1.0304 2022/10/14 06:26:27 - mmengine - INFO - Epoch(train) [65][440/940] lr: 1.0000e-03 eta: 5:07:47 time: 0.5541 data_time: 0.0305 memory: 31836 grad_norm: 4.9792 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0246 loss: 1.0246 2022/10/14 06:26:38 - mmengine - INFO - Epoch(train) [65][460/940] lr: 1.0000e-03 eta: 5:07:36 time: 0.5483 data_time: 0.0254 memory: 31836 grad_norm: 5.0748 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/10/14 06:26:49 - mmengine - INFO - Epoch(train) [65][480/940] lr: 1.0000e-03 eta: 5:07:25 time: 0.5367 data_time: 0.0263 memory: 31836 grad_norm: 4.9113 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0337 loss: 1.0337 2022/10/14 06:27:00 - mmengine - INFO - Epoch(train) [65][500/940] lr: 1.0000e-03 eta: 5:07:14 time: 0.5501 data_time: 0.0286 memory: 31836 grad_norm: 4.8482 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0317 loss: 1.0317 2022/10/14 06:27:10 - mmengine - INFO - Epoch(train) [65][520/940] lr: 1.0000e-03 eta: 5:07:03 time: 0.5436 data_time: 0.0289 memory: 31836 grad_norm: 4.9174 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0703 loss: 1.0703 2022/10/14 06:27:21 - mmengine - INFO - Epoch(train) [65][540/940] lr: 1.0000e-03 eta: 5:06:51 time: 0.5453 data_time: 0.0235 memory: 31836 grad_norm: 4.8929 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9623 loss: 0.9623 2022/10/14 06:27:32 - mmengine - INFO - Epoch(train) [65][560/940] lr: 1.0000e-03 eta: 5:06:40 time: 0.5571 data_time: 0.0290 memory: 31836 grad_norm: 4.8337 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0411 loss: 1.0411 2022/10/14 06:27:43 - mmengine - INFO - Epoch(train) [65][580/940] lr: 1.0000e-03 eta: 5:06:29 time: 0.5464 data_time: 0.0262 memory: 31836 grad_norm: 4.8789 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9261 loss: 0.9261 2022/10/14 06:27:54 - mmengine - INFO - Epoch(train) [65][600/940] lr: 1.0000e-03 eta: 5:06:18 time: 0.5495 data_time: 0.0272 memory: 31836 grad_norm: 4.9184 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9203 loss: 0.9203 2022/10/14 06:28:05 - mmengine - INFO - Epoch(train) [65][620/940] lr: 1.0000e-03 eta: 5:06:07 time: 0.5441 data_time: 0.0266 memory: 31836 grad_norm: 5.0088 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0090 loss: 1.0090 2022/10/14 06:28:16 - mmengine - INFO - Epoch(train) [65][640/940] lr: 1.0000e-03 eta: 5:05:56 time: 0.5558 data_time: 0.0301 memory: 31836 grad_norm: 4.9342 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0783 loss: 1.0783 2022/10/14 06:28:27 - mmengine - INFO - Epoch(train) [65][660/940] lr: 1.0000e-03 eta: 5:05:45 time: 0.5478 data_time: 0.0264 memory: 31836 grad_norm: 4.8698 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9040 loss: 0.9040 2022/10/14 06:28:38 - mmengine - INFO - Epoch(train) [65][680/940] lr: 1.0000e-03 eta: 5:05:34 time: 0.5392 data_time: 0.0236 memory: 31836 grad_norm: 4.9126 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8877 loss: 0.8877 2022/10/14 06:28:49 - mmengine - INFO - Epoch(train) [65][700/940] lr: 1.0000e-03 eta: 5:05:23 time: 0.5499 data_time: 0.0283 memory: 31836 grad_norm: 5.0310 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1165 loss: 1.1165 2022/10/14 06:29:00 - mmengine - INFO - Epoch(train) [65][720/940] lr: 1.0000e-03 eta: 5:05:11 time: 0.5420 data_time: 0.0307 memory: 31836 grad_norm: 4.9923 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9437 loss: 0.9437 2022/10/14 06:29:11 - mmengine - INFO - Epoch(train) [65][740/940] lr: 1.0000e-03 eta: 5:05:00 time: 0.5460 data_time: 0.0270 memory: 31836 grad_norm: 4.6468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8821 loss: 0.8821 2022/10/14 06:29:22 - mmengine - INFO - Epoch(train) [65][760/940] lr: 1.0000e-03 eta: 5:04:49 time: 0.5481 data_time: 0.0332 memory: 31836 grad_norm: 5.0247 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/10/14 06:29:33 - mmengine - INFO - Epoch(train) [65][780/940] lr: 1.0000e-03 eta: 5:04:38 time: 0.5422 data_time: 0.0306 memory: 31836 grad_norm: 4.9766 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0031 loss: 1.0031 2022/10/14 06:29:44 - mmengine - INFO - Epoch(train) [65][800/940] lr: 1.0000e-03 eta: 5:04:27 time: 0.5500 data_time: 0.0292 memory: 31836 grad_norm: 4.8685 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9684 loss: 0.9684 2022/10/14 06:29:55 - mmengine - INFO - Epoch(train) [65][820/940] lr: 1.0000e-03 eta: 5:04:16 time: 0.5459 data_time: 0.0241 memory: 31836 grad_norm: 4.9712 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9674 loss: 0.9674 2022/10/14 06:30:05 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:30:05 - mmengine - INFO - Epoch(train) [65][840/940] lr: 1.0000e-03 eta: 5:04:05 time: 0.5429 data_time: 0.0277 memory: 31836 grad_norm: 4.9556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8986 loss: 0.8986 2022/10/14 06:30:16 - mmengine - INFO - Epoch(train) [65][860/940] lr: 1.0000e-03 eta: 5:03:54 time: 0.5455 data_time: 0.0279 memory: 31836 grad_norm: 4.8973 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9922 loss: 0.9922 2022/10/14 06:30:27 - mmengine - INFO - Epoch(train) [65][880/940] lr: 1.0000e-03 eta: 5:03:42 time: 0.5423 data_time: 0.0239 memory: 31836 grad_norm: 4.8956 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0384 loss: 1.0384 2022/10/14 06:30:38 - mmengine - INFO - Epoch(train) [65][900/940] lr: 1.0000e-03 eta: 5:03:31 time: 0.5386 data_time: 0.0317 memory: 31836 grad_norm: 5.0053 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8905 loss: 0.8905 2022/10/14 06:30:49 - mmengine - INFO - Epoch(train) [65][920/940] lr: 1.0000e-03 eta: 5:03:20 time: 0.5426 data_time: 0.0253 memory: 31836 grad_norm: 4.9715 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8577 loss: 0.8577 2022/10/14 06:30:59 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:30:59 - mmengine - INFO - Epoch(train) [65][940/940] lr: 1.0000e-03 eta: 5:03:09 time: 0.5176 data_time: 0.0263 memory: 31836 grad_norm: 5.1173 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0748 loss: 1.0748 2022/10/14 06:31:14 - mmengine - INFO - Epoch(val) [65][20/78] eta: 0:00:42 time: 0.7334 data_time: 0.5822 memory: 3561 2022/10/14 06:31:26 - mmengine - INFO - Epoch(val) [65][40/78] eta: 0:00:23 time: 0.6252 data_time: 0.4771 memory: 3561 2022/10/14 06:31:35 - mmengine - INFO - Epoch(val) [65][60/78] eta: 0:00:07 time: 0.4295 data_time: 0.2803 memory: 3561 2022/10/14 06:31:47 - mmengine - INFO - Epoch(val) [65][78/78] acc/top1: 0.6924 acc/top5: 0.8800 acc/mean1: 0.6923 2022/10/14 06:32:03 - mmengine - INFO - Epoch(train) [66][20/940] lr: 1.0000e-03 eta: 5:03:00 time: 0.7896 data_time: 0.2695 memory: 31836 grad_norm: 4.9854 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9260 loss: 0.9260 2022/10/14 06:32:14 - mmengine - INFO - Epoch(train) [66][40/940] lr: 1.0000e-03 eta: 5:02:49 time: 0.5569 data_time: 0.0268 memory: 31836 grad_norm: 4.7921 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8794 loss: 0.8794 2022/10/14 06:32:25 - mmengine - INFO - Epoch(train) [66][60/940] lr: 1.0000e-03 eta: 5:02:38 time: 0.5643 data_time: 0.0322 memory: 31836 grad_norm: 4.9686 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9664 loss: 0.9664 2022/10/14 06:32:36 - mmengine - INFO - Epoch(train) [66][80/940] lr: 1.0000e-03 eta: 5:02:27 time: 0.5489 data_time: 0.0295 memory: 31836 grad_norm: 4.8225 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9594 loss: 0.9594 2022/10/14 06:32:47 - mmengine - INFO - Epoch(train) [66][100/940] lr: 1.0000e-03 eta: 5:02:16 time: 0.5441 data_time: 0.0292 memory: 31836 grad_norm: 4.9769 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8886 loss: 0.8886 2022/10/14 06:32:58 - mmengine - INFO - Epoch(train) [66][120/940] lr: 1.0000e-03 eta: 5:02:05 time: 0.5432 data_time: 0.0276 memory: 31836 grad_norm: 4.8762 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9845 loss: 0.9845 2022/10/14 06:33:09 - mmengine - INFO - Epoch(train) [66][140/940] lr: 1.0000e-03 eta: 5:01:54 time: 0.5874 data_time: 0.0273 memory: 31836 grad_norm: 4.9969 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9223 loss: 0.9223 2022/10/14 06:33:20 - mmengine - INFO - Epoch(train) [66][160/940] lr: 1.0000e-03 eta: 5:01:43 time: 0.5437 data_time: 0.0283 memory: 31836 grad_norm: 4.9215 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9359 loss: 0.9359 2022/10/14 06:33:31 - mmengine - INFO - Epoch(train) [66][180/940] lr: 1.0000e-03 eta: 5:01:32 time: 0.5497 data_time: 0.0242 memory: 31836 grad_norm: 4.9648 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9673 loss: 0.9673 2022/10/14 06:33:42 - mmengine - INFO - Epoch(train) [66][200/940] lr: 1.0000e-03 eta: 5:01:21 time: 0.5436 data_time: 0.0281 memory: 31836 grad_norm: 5.0444 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9842 loss: 0.9842 2022/10/14 06:33:53 - mmengine - INFO - Epoch(train) [66][220/940] lr: 1.0000e-03 eta: 5:01:09 time: 0.5523 data_time: 0.0314 memory: 31836 grad_norm: 4.9564 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9904 loss: 0.9904 2022/10/14 06:34:04 - mmengine - INFO - Epoch(train) [66][240/940] lr: 1.0000e-03 eta: 5:00:58 time: 0.5491 data_time: 0.0285 memory: 31836 grad_norm: 4.9796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/10/14 06:34:15 - mmengine - INFO - Epoch(train) [66][260/940] lr: 1.0000e-03 eta: 5:00:47 time: 0.5457 data_time: 0.0285 memory: 31836 grad_norm: 4.8742 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0370 loss: 1.0370 2022/10/14 06:34:26 - mmengine - INFO - Epoch(train) [66][280/940] lr: 1.0000e-03 eta: 5:00:36 time: 0.5442 data_time: 0.0233 memory: 31836 grad_norm: 4.8722 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9753 loss: 0.9753 2022/10/14 06:34:37 - mmengine - INFO - Epoch(train) [66][300/940] lr: 1.0000e-03 eta: 5:00:25 time: 0.5558 data_time: 0.0270 memory: 31836 grad_norm: 5.0143 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9338 loss: 0.9338 2022/10/14 06:34:48 - mmengine - INFO - Epoch(train) [66][320/940] lr: 1.0000e-03 eta: 5:00:14 time: 0.5408 data_time: 0.0282 memory: 31836 grad_norm: 4.9012 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9683 loss: 0.9683 2022/10/14 06:34:59 - mmengine - INFO - Epoch(train) [66][340/940] lr: 1.0000e-03 eta: 5:00:03 time: 0.5458 data_time: 0.0237 memory: 31836 grad_norm: 4.7944 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/10/14 06:35:10 - mmengine - INFO - Epoch(train) [66][360/940] lr: 1.0000e-03 eta: 4:59:52 time: 0.5443 data_time: 0.0287 memory: 31836 grad_norm: 4.8584 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9566 loss: 0.9566 2022/10/14 06:35:21 - mmengine - INFO - Epoch(train) [66][380/940] lr: 1.0000e-03 eta: 4:59:40 time: 0.5477 data_time: 0.0329 memory: 31836 grad_norm: 4.8596 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8908 loss: 0.8908 2022/10/14 06:35:33 - mmengine - INFO - Epoch(train) [66][400/940] lr: 1.0000e-03 eta: 4:59:30 time: 0.5922 data_time: 0.0718 memory: 31836 grad_norm: 4.9473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9841 loss: 0.9841 2022/10/14 06:35:44 - mmengine - INFO - Epoch(train) [66][420/940] lr: 1.0000e-03 eta: 4:59:19 time: 0.5526 data_time: 0.0211 memory: 31836 grad_norm: 4.9947 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0441 loss: 1.0441 2022/10/14 06:35:55 - mmengine - INFO - Epoch(train) [66][440/940] lr: 1.0000e-03 eta: 4:59:08 time: 0.5539 data_time: 0.0299 memory: 31836 grad_norm: 4.8539 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9736 loss: 0.9736 2022/10/14 06:36:06 - mmengine - INFO - Epoch(train) [66][460/940] lr: 1.0000e-03 eta: 4:58:57 time: 0.5492 data_time: 0.0255 memory: 31836 grad_norm: 4.9198 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0721 loss: 1.0721 2022/10/14 06:36:17 - mmengine - INFO - Epoch(train) [66][480/940] lr: 1.0000e-03 eta: 4:58:46 time: 0.5481 data_time: 0.0324 memory: 31836 grad_norm: 4.8754 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0304 loss: 1.0304 2022/10/14 06:36:28 - mmengine - INFO - Epoch(train) [66][500/940] lr: 1.0000e-03 eta: 4:58:34 time: 0.5487 data_time: 0.0289 memory: 31836 grad_norm: 4.8837 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9493 loss: 0.9493 2022/10/14 06:36:38 - mmengine - INFO - Epoch(train) [66][520/940] lr: 1.0000e-03 eta: 4:58:23 time: 0.5414 data_time: 0.0268 memory: 31836 grad_norm: 4.9821 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9232 loss: 0.9232 2022/10/14 06:36:49 - mmengine - INFO - Epoch(train) [66][540/940] lr: 1.0000e-03 eta: 4:58:12 time: 0.5424 data_time: 0.0264 memory: 31836 grad_norm: 4.9086 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9444 loss: 0.9444 2022/10/14 06:37:00 - mmengine - INFO - Epoch(train) [66][560/940] lr: 1.0000e-03 eta: 4:58:01 time: 0.5421 data_time: 0.0272 memory: 31836 grad_norm: 4.9398 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0137 loss: 1.0137 2022/10/14 06:37:11 - mmengine - INFO - Epoch(train) [66][580/940] lr: 1.0000e-03 eta: 4:57:50 time: 0.5425 data_time: 0.0254 memory: 31836 grad_norm: 4.8411 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9255 loss: 0.9255 2022/10/14 06:37:22 - mmengine - INFO - Epoch(train) [66][600/940] lr: 1.0000e-03 eta: 4:57:39 time: 0.5398 data_time: 0.0245 memory: 31836 grad_norm: 4.9582 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9446 loss: 0.9446 2022/10/14 06:37:33 - mmengine - INFO - Epoch(train) [66][620/940] lr: 1.0000e-03 eta: 4:57:27 time: 0.5521 data_time: 0.0276 memory: 31836 grad_norm: 4.9495 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0451 loss: 1.0451 2022/10/14 06:37:44 - mmengine - INFO - Epoch(train) [66][640/940] lr: 1.0000e-03 eta: 4:57:16 time: 0.5444 data_time: 0.0255 memory: 31836 grad_norm: 4.8137 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9953 loss: 0.9953 2022/10/14 06:37:55 - mmengine - INFO - Epoch(train) [66][660/940] lr: 1.0000e-03 eta: 4:57:05 time: 0.5517 data_time: 0.0275 memory: 31836 grad_norm: 5.0165 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9633 loss: 0.9633 2022/10/14 06:38:06 - mmengine - INFO - Epoch(train) [66][680/940] lr: 1.0000e-03 eta: 4:56:54 time: 0.5428 data_time: 0.0268 memory: 31836 grad_norm: 4.8003 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9759 loss: 0.9759 2022/10/14 06:38:16 - mmengine - INFO - Epoch(train) [66][700/940] lr: 1.0000e-03 eta: 4:56:43 time: 0.5402 data_time: 0.0249 memory: 31836 grad_norm: 4.9233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9535 loss: 0.9535 2022/10/14 06:38:28 - mmengine - INFO - Epoch(train) [66][720/940] lr: 1.0000e-03 eta: 4:56:32 time: 0.5511 data_time: 0.0270 memory: 31836 grad_norm: 4.9393 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8798 loss: 0.8798 2022/10/14 06:38:38 - mmengine - INFO - Epoch(train) [66][740/940] lr: 1.0000e-03 eta: 4:56:21 time: 0.5409 data_time: 0.0258 memory: 31836 grad_norm: 4.8606 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0984 loss: 1.0984 2022/10/14 06:38:49 - mmengine - INFO - Epoch(train) [66][760/940] lr: 1.0000e-03 eta: 4:56:10 time: 0.5484 data_time: 0.0348 memory: 31836 grad_norm: 4.9778 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0119 loss: 1.0119 2022/10/14 06:39:00 - mmengine - INFO - Epoch(train) [66][780/940] lr: 1.0000e-03 eta: 4:55:58 time: 0.5473 data_time: 0.0252 memory: 31836 grad_norm: 4.9028 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0209 loss: 1.0209 2022/10/14 06:39:11 - mmengine - INFO - Epoch(train) [66][800/940] lr: 1.0000e-03 eta: 4:55:47 time: 0.5519 data_time: 0.0266 memory: 31836 grad_norm: 5.0153 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0629 loss: 1.0629 2022/10/14 06:39:22 - mmengine - INFO - Epoch(train) [66][820/940] lr: 1.0000e-03 eta: 4:55:36 time: 0.5425 data_time: 0.0298 memory: 31836 grad_norm: 4.8663 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/10/14 06:39:33 - mmengine - INFO - Epoch(train) [66][840/940] lr: 1.0000e-03 eta: 4:55:25 time: 0.5446 data_time: 0.0267 memory: 31836 grad_norm: 4.9585 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9554 loss: 0.9554 2022/10/14 06:39:44 - mmengine - INFO - Epoch(train) [66][860/940] lr: 1.0000e-03 eta: 4:55:14 time: 0.5414 data_time: 0.0258 memory: 31836 grad_norm: 4.9470 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9205 loss: 0.9205 2022/10/14 06:39:55 - mmengine - INFO - Epoch(train) [66][880/940] lr: 1.0000e-03 eta: 4:55:03 time: 0.5506 data_time: 0.0251 memory: 31836 grad_norm: 5.0129 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0456 loss: 1.0456 2022/10/14 06:40:06 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:40:06 - mmengine - INFO - Epoch(train) [66][900/940] lr: 1.0000e-03 eta: 4:54:52 time: 0.5426 data_time: 0.0238 memory: 31836 grad_norm: 5.1807 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0287 loss: 1.0287 2022/10/14 06:40:17 - mmengine - INFO - Epoch(train) [66][920/940] lr: 1.0000e-03 eta: 4:54:40 time: 0.5456 data_time: 0.0311 memory: 31836 grad_norm: 4.9525 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9560 loss: 0.9560 2022/10/14 06:40:27 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:40:27 - mmengine - INFO - Epoch(train) [66][940/940] lr: 1.0000e-03 eta: 4:54:29 time: 0.5106 data_time: 0.0222 memory: 31836 grad_norm: 5.3875 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.1467 loss: 1.1467 2022/10/14 06:40:27 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/10/14 06:40:41 - mmengine - INFO - Epoch(val) [66][20/78] eta: 0:00:37 time: 0.6391 data_time: 0.4906 memory: 3561 2022/10/14 06:40:50 - mmengine - INFO - Epoch(val) [66][40/78] eta: 0:00:16 time: 0.4384 data_time: 0.2906 memory: 3561 2022/10/14 06:41:02 - mmengine - INFO - Epoch(val) [66][60/78] eta: 0:00:10 time: 0.6055 data_time: 0.4560 memory: 3561 2022/10/14 06:41:11 - mmengine - INFO - Epoch(val) [66][78/78] acc/top1: 0.6931 acc/top5: 0.8805 acc/mean1: 0.6930 2022/10/14 06:41:27 - mmengine - INFO - Epoch(train) [67][20/940] lr: 1.0000e-03 eta: 4:54:20 time: 0.7835 data_time: 0.2233 memory: 31836 grad_norm: 5.1114 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0025 loss: 1.0025 2022/10/14 06:41:38 - mmengine - INFO - Epoch(train) [67][40/940] lr: 1.0000e-03 eta: 4:54:09 time: 0.5499 data_time: 0.0268 memory: 31836 grad_norm: 4.8627 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0251 loss: 1.0251 2022/10/14 06:41:51 - mmengine - INFO - Epoch(train) [67][60/940] lr: 1.0000e-03 eta: 4:53:59 time: 0.6333 data_time: 0.0254 memory: 31836 grad_norm: 4.9131 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8636 loss: 0.8636 2022/10/14 06:42:02 - mmengine - INFO - Epoch(train) [67][80/940] lr: 1.0000e-03 eta: 4:53:48 time: 0.5559 data_time: 0.0307 memory: 31836 grad_norm: 4.9942 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8938 loss: 0.8938 2022/10/14 06:42:13 - mmengine - INFO - Epoch(train) [67][100/940] lr: 1.0000e-03 eta: 4:53:37 time: 0.5482 data_time: 0.0256 memory: 31836 grad_norm: 4.8750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0329 loss: 1.0329 2022/10/14 06:42:24 - mmengine - INFO - Epoch(train) [67][120/940] lr: 1.0000e-03 eta: 4:53:26 time: 0.5425 data_time: 0.0243 memory: 31836 grad_norm: 4.9357 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9568 loss: 0.9568 2022/10/14 06:42:35 - mmengine - INFO - Epoch(train) [67][140/940] lr: 1.0000e-03 eta: 4:53:15 time: 0.5544 data_time: 0.0323 memory: 31836 grad_norm: 5.0015 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/10/14 06:42:46 - mmengine - INFO - Epoch(train) [67][160/940] lr: 1.0000e-03 eta: 4:53:04 time: 0.5466 data_time: 0.0251 memory: 31836 grad_norm: 4.9702 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8737 loss: 0.8737 2022/10/14 06:42:57 - mmengine - INFO - Epoch(train) [67][180/940] lr: 1.0000e-03 eta: 4:52:52 time: 0.5427 data_time: 0.0233 memory: 31836 grad_norm: 5.0272 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1077 loss: 1.1077 2022/10/14 06:43:09 - mmengine - INFO - Epoch(train) [67][200/940] lr: 1.0000e-03 eta: 4:52:42 time: 0.6154 data_time: 0.0329 memory: 31836 grad_norm: 5.0367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9755 loss: 0.9755 2022/10/14 06:43:20 - mmengine - INFO - Epoch(train) [67][220/940] lr: 1.0000e-03 eta: 4:52:31 time: 0.5676 data_time: 0.0298 memory: 31836 grad_norm: 4.7794 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0092 loss: 1.0092 2022/10/14 06:43:31 - mmengine - INFO - Epoch(train) [67][240/940] lr: 1.0000e-03 eta: 4:52:20 time: 0.5524 data_time: 0.0253 memory: 31836 grad_norm: 4.9764 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8975 loss: 0.8975 2022/10/14 06:43:42 - mmengine - INFO - Epoch(train) [67][260/940] lr: 1.0000e-03 eta: 4:52:09 time: 0.5433 data_time: 0.0243 memory: 31836 grad_norm: 4.9523 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9464 loss: 0.9464 2022/10/14 06:43:53 - mmengine - INFO - Epoch(train) [67][280/940] lr: 1.0000e-03 eta: 4:51:58 time: 0.5445 data_time: 0.0271 memory: 31836 grad_norm: 4.9074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9781 loss: 0.9781 2022/10/14 06:44:04 - mmengine - INFO - Epoch(train) [67][300/940] lr: 1.0000e-03 eta: 4:51:47 time: 0.5468 data_time: 0.0259 memory: 31836 grad_norm: 5.0468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/10/14 06:44:15 - mmengine - INFO - Epoch(train) [67][320/940] lr: 1.0000e-03 eta: 4:51:36 time: 0.5601 data_time: 0.0252 memory: 31836 grad_norm: 4.9439 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0016 loss: 1.0016 2022/10/14 06:44:26 - mmengine - INFO - Epoch(train) [67][340/940] lr: 1.0000e-03 eta: 4:51:24 time: 0.5542 data_time: 0.0367 memory: 31836 grad_norm: 4.9286 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9895 loss: 0.9895 2022/10/14 06:44:37 - mmengine - INFO - Epoch(train) [67][360/940] lr: 1.0000e-03 eta: 4:51:13 time: 0.5477 data_time: 0.0253 memory: 31836 grad_norm: 4.9098 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9234 loss: 0.9234 2022/10/14 06:44:48 - mmengine - INFO - Epoch(train) [67][380/940] lr: 1.0000e-03 eta: 4:51:02 time: 0.5509 data_time: 0.0274 memory: 31836 grad_norm: 4.9484 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/10/14 06:44:59 - mmengine - INFO - Epoch(train) [67][400/940] lr: 1.0000e-03 eta: 4:50:51 time: 0.5407 data_time: 0.0292 memory: 31836 grad_norm: 4.8743 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/10/14 06:45:10 - mmengine - INFO - Epoch(train) [67][420/940] lr: 1.0000e-03 eta: 4:50:40 time: 0.5472 data_time: 0.0346 memory: 31836 grad_norm: 4.9560 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9169 loss: 0.9169 2022/10/14 06:45:21 - mmengine - INFO - Epoch(train) [67][440/940] lr: 1.0000e-03 eta: 4:50:29 time: 0.5458 data_time: 0.0311 memory: 31836 grad_norm: 4.8999 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9296 loss: 0.9296 2022/10/14 06:45:32 - mmengine - INFO - Epoch(train) [67][460/940] lr: 1.0000e-03 eta: 4:50:18 time: 0.5470 data_time: 0.0262 memory: 31836 grad_norm: 4.9891 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9491 loss: 0.9491 2022/10/14 06:45:43 - mmengine - INFO - Epoch(train) [67][480/940] lr: 1.0000e-03 eta: 4:50:07 time: 0.5462 data_time: 0.0276 memory: 31836 grad_norm: 4.9810 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0399 loss: 1.0399 2022/10/14 06:45:54 - mmengine - INFO - Epoch(train) [67][500/940] lr: 1.0000e-03 eta: 4:49:55 time: 0.5430 data_time: 0.0303 memory: 31836 grad_norm: 4.9564 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0076 loss: 1.0076 2022/10/14 06:46:05 - mmengine - INFO - Epoch(train) [67][520/940] lr: 1.0000e-03 eta: 4:49:44 time: 0.5471 data_time: 0.0312 memory: 31836 grad_norm: 4.9221 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9376 loss: 0.9376 2022/10/14 06:46:15 - mmengine - INFO - Epoch(train) [67][540/940] lr: 1.0000e-03 eta: 4:49:33 time: 0.5417 data_time: 0.0282 memory: 31836 grad_norm: 5.0364 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0328 loss: 1.0328 2022/10/14 06:46:26 - mmengine - INFO - Epoch(train) [67][560/940] lr: 1.0000e-03 eta: 4:49:22 time: 0.5463 data_time: 0.0248 memory: 31836 grad_norm: 4.9419 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8434 loss: 0.8434 2022/10/14 06:46:37 - mmengine - INFO - Epoch(train) [67][580/940] lr: 1.0000e-03 eta: 4:49:11 time: 0.5444 data_time: 0.0274 memory: 31836 grad_norm: 4.9391 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9853 loss: 0.9853 2022/10/14 06:46:48 - mmengine - INFO - Epoch(train) [67][600/940] lr: 1.0000e-03 eta: 4:49:00 time: 0.5482 data_time: 0.0284 memory: 31836 grad_norm: 4.8123 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/10/14 06:46:59 - mmengine - INFO - Epoch(train) [67][620/940] lr: 1.0000e-03 eta: 4:48:49 time: 0.5528 data_time: 0.0246 memory: 31836 grad_norm: 4.9729 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9348 loss: 0.9348 2022/10/14 06:47:10 - mmengine - INFO - Epoch(train) [67][640/940] lr: 1.0000e-03 eta: 4:48:38 time: 0.5473 data_time: 0.0315 memory: 31836 grad_norm: 5.1134 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9020 loss: 0.9020 2022/10/14 06:47:21 - mmengine - INFO - Epoch(train) [67][660/940] lr: 1.0000e-03 eta: 4:48:27 time: 0.5503 data_time: 0.0296 memory: 31836 grad_norm: 5.0614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0479 loss: 1.0479 2022/10/14 06:47:32 - mmengine - INFO - Epoch(train) [67][680/940] lr: 1.0000e-03 eta: 4:48:15 time: 0.5543 data_time: 0.0316 memory: 31836 grad_norm: 5.0124 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9925 loss: 0.9925 2022/10/14 06:47:43 - mmengine - INFO - Epoch(train) [67][700/940] lr: 1.0000e-03 eta: 4:48:04 time: 0.5509 data_time: 0.0286 memory: 31836 grad_norm: 4.9480 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8806 loss: 0.8806 2022/10/14 06:47:54 - mmengine - INFO - Epoch(train) [67][720/940] lr: 1.0000e-03 eta: 4:47:53 time: 0.5474 data_time: 0.0338 memory: 31836 grad_norm: 4.8649 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9308 loss: 0.9308 2022/10/14 06:48:05 - mmengine - INFO - Epoch(train) [67][740/940] lr: 1.0000e-03 eta: 4:47:42 time: 0.5534 data_time: 0.0295 memory: 31836 grad_norm: 4.9406 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9617 loss: 0.9617 2022/10/14 06:48:16 - mmengine - INFO - Epoch(train) [67][760/940] lr: 1.0000e-03 eta: 4:47:31 time: 0.5429 data_time: 0.0238 memory: 31836 grad_norm: 4.9819 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9217 loss: 0.9217 2022/10/14 06:48:27 - mmengine - INFO - Epoch(train) [67][780/940] lr: 1.0000e-03 eta: 4:47:20 time: 0.5531 data_time: 0.0297 memory: 31836 grad_norm: 5.0782 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0009 loss: 1.0009 2022/10/14 06:48:38 - mmengine - INFO - Epoch(train) [67][800/940] lr: 1.0000e-03 eta: 4:47:09 time: 0.5474 data_time: 0.0263 memory: 31836 grad_norm: 4.9164 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0187 loss: 1.0187 2022/10/14 06:48:49 - mmengine - INFO - Epoch(train) [67][820/940] lr: 1.0000e-03 eta: 4:46:58 time: 0.5422 data_time: 0.0260 memory: 31836 grad_norm: 4.9811 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9685 loss: 0.9685 2022/10/14 06:49:00 - mmengine - INFO - Epoch(train) [67][840/940] lr: 1.0000e-03 eta: 4:46:47 time: 0.5443 data_time: 0.0269 memory: 31836 grad_norm: 5.0768 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.1125 loss: 1.1125 2022/10/14 06:49:11 - mmengine - INFO - Epoch(train) [67][860/940] lr: 1.0000e-03 eta: 4:46:36 time: 0.5498 data_time: 0.0313 memory: 31836 grad_norm: 5.0685 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1102 loss: 1.1102 2022/10/14 06:49:22 - mmengine - INFO - Epoch(train) [67][880/940] lr: 1.0000e-03 eta: 4:46:24 time: 0.5452 data_time: 0.0285 memory: 31836 grad_norm: 4.9955 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9261 loss: 0.9261 2022/10/14 06:49:33 - mmengine - INFO - Epoch(train) [67][900/940] lr: 1.0000e-03 eta: 4:46:13 time: 0.5452 data_time: 0.0281 memory: 31836 grad_norm: 5.0069 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8844 loss: 0.8844 2022/10/14 06:49:44 - mmengine - INFO - Epoch(train) [67][920/940] lr: 1.0000e-03 eta: 4:46:02 time: 0.5407 data_time: 0.0291 memory: 31836 grad_norm: 5.0799 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/10/14 06:49:54 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:49:54 - mmengine - INFO - Epoch(train) [67][940/940] lr: 1.0000e-03 eta: 4:45:51 time: 0.5124 data_time: 0.0232 memory: 31836 grad_norm: 5.4420 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0427 loss: 1.0427 2022/10/14 06:50:07 - mmengine - INFO - Epoch(val) [67][20/78] eta: 0:00:37 time: 0.6502 data_time: 0.5002 memory: 3561 2022/10/14 06:50:16 - mmengine - INFO - Epoch(val) [67][40/78] eta: 0:00:17 time: 0.4474 data_time: 0.3000 memory: 3561 2022/10/14 06:50:28 - mmengine - INFO - Epoch(val) [67][60/78] eta: 0:00:11 time: 0.6164 data_time: 0.4672 memory: 3561 2022/10/14 06:50:37 - mmengine - INFO - Epoch(val) [67][78/78] acc/top1: 0.6929 acc/top5: 0.8810 acc/mean1: 0.6927 2022/10/14 06:50:53 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:50:53 - mmengine - INFO - Epoch(train) [68][20/940] lr: 1.0000e-03 eta: 4:45:42 time: 0.7747 data_time: 0.2404 memory: 31836 grad_norm: 5.0735 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0492 loss: 1.0492 2022/10/14 06:51:04 - mmengine - INFO - Epoch(train) [68][40/940] lr: 1.0000e-03 eta: 4:45:31 time: 0.5509 data_time: 0.0240 memory: 31836 grad_norm: 5.0131 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0100 loss: 1.0100 2022/10/14 06:51:15 - mmengine - INFO - Epoch(train) [68][60/940] lr: 1.0000e-03 eta: 4:45:20 time: 0.5567 data_time: 0.0281 memory: 31836 grad_norm: 4.8312 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8645 loss: 0.8645 2022/10/14 06:51:26 - mmengine - INFO - Epoch(train) [68][80/940] lr: 1.0000e-03 eta: 4:45:09 time: 0.5490 data_time: 0.0287 memory: 31836 grad_norm: 4.8487 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8332 loss: 0.8332 2022/10/14 06:51:37 - mmengine - INFO - Epoch(train) [68][100/940] lr: 1.0000e-03 eta: 4:44:57 time: 0.5493 data_time: 0.0287 memory: 31836 grad_norm: 4.8856 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9700 loss: 0.9700 2022/10/14 06:51:48 - mmengine - INFO - Epoch(train) [68][120/940] lr: 1.0000e-03 eta: 4:44:46 time: 0.5441 data_time: 0.0272 memory: 31836 grad_norm: 5.0411 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0064 loss: 1.0064 2022/10/14 06:51:59 - mmengine - INFO - Epoch(train) [68][140/940] lr: 1.0000e-03 eta: 4:44:35 time: 0.5465 data_time: 0.0261 memory: 31836 grad_norm: 4.8744 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9225 loss: 0.9225 2022/10/14 06:52:10 - mmengine - INFO - Epoch(train) [68][160/940] lr: 1.0000e-03 eta: 4:44:24 time: 0.5479 data_time: 0.0253 memory: 31836 grad_norm: 4.9607 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9358 loss: 0.9358 2022/10/14 06:52:21 - mmengine - INFO - Epoch(train) [68][180/940] lr: 1.0000e-03 eta: 4:44:13 time: 0.5422 data_time: 0.0286 memory: 31836 grad_norm: 4.9715 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9322 loss: 0.9322 2022/10/14 06:52:32 - mmengine - INFO - Epoch(train) [68][200/940] lr: 1.0000e-03 eta: 4:44:02 time: 0.5532 data_time: 0.0280 memory: 31836 grad_norm: 4.9259 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9677 loss: 0.9677 2022/10/14 06:52:42 - mmengine - INFO - Epoch(train) [68][220/940] lr: 1.0000e-03 eta: 4:43:51 time: 0.5419 data_time: 0.0286 memory: 31836 grad_norm: 5.0071 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1246 loss: 1.1246 2022/10/14 06:52:53 - mmengine - INFO - Epoch(train) [68][240/940] lr: 1.0000e-03 eta: 4:43:40 time: 0.5451 data_time: 0.0275 memory: 31836 grad_norm: 4.9375 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9864 loss: 0.9864 2022/10/14 06:53:04 - mmengine - INFO - Epoch(train) [68][260/940] lr: 1.0000e-03 eta: 4:43:28 time: 0.5494 data_time: 0.0298 memory: 31836 grad_norm: 5.0149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/10/14 06:53:15 - mmengine - INFO - Epoch(train) [68][280/940] lr: 1.0000e-03 eta: 4:43:17 time: 0.5536 data_time: 0.0317 memory: 31836 grad_norm: 4.9661 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0207 loss: 1.0207 2022/10/14 06:53:27 - mmengine - INFO - Epoch(train) [68][300/940] lr: 1.0000e-03 eta: 4:43:06 time: 0.5529 data_time: 0.0305 memory: 31836 grad_norm: 4.9783 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0317 loss: 1.0317 2022/10/14 06:53:37 - mmengine - INFO - Epoch(train) [68][320/940] lr: 1.0000e-03 eta: 4:42:55 time: 0.5442 data_time: 0.0249 memory: 31836 grad_norm: 5.1253 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.0742 loss: 1.0742 2022/10/14 06:53:48 - mmengine - INFO - Epoch(train) [68][340/940] lr: 1.0000e-03 eta: 4:42:44 time: 0.5532 data_time: 0.0307 memory: 31836 grad_norm: 5.0163 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9307 loss: 0.9307 2022/10/14 06:54:00 - mmengine - INFO - Epoch(train) [68][360/940] lr: 1.0000e-03 eta: 4:42:33 time: 0.5532 data_time: 0.0394 memory: 31836 grad_norm: 4.9968 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9436 loss: 0.9436 2022/10/14 06:54:11 - mmengine - INFO - Epoch(train) [68][380/940] lr: 1.0000e-03 eta: 4:42:22 time: 0.5533 data_time: 0.0312 memory: 31836 grad_norm: 4.8714 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8974 loss: 0.8974 2022/10/14 06:54:21 - mmengine - INFO - Epoch(train) [68][400/940] lr: 1.0000e-03 eta: 4:42:11 time: 0.5443 data_time: 0.0256 memory: 31836 grad_norm: 4.7875 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9414 loss: 0.9414 2022/10/14 06:54:32 - mmengine - INFO - Epoch(train) [68][420/940] lr: 1.0000e-03 eta: 4:42:00 time: 0.5438 data_time: 0.0254 memory: 31836 grad_norm: 4.9541 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0726 loss: 1.0726 2022/10/14 06:54:43 - mmengine - INFO - Epoch(train) [68][440/940] lr: 1.0000e-03 eta: 4:41:49 time: 0.5514 data_time: 0.0278 memory: 31836 grad_norm: 4.9111 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9732 loss: 0.9732 2022/10/14 06:54:54 - mmengine - INFO - Epoch(train) [68][460/940] lr: 1.0000e-03 eta: 4:41:38 time: 0.5527 data_time: 0.0280 memory: 31836 grad_norm: 4.9845 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9111 loss: 0.9111 2022/10/14 06:55:05 - mmengine - INFO - Epoch(train) [68][480/940] lr: 1.0000e-03 eta: 4:41:26 time: 0.5409 data_time: 0.0297 memory: 31836 grad_norm: 5.0765 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0036 loss: 1.0036 2022/10/14 06:55:16 - mmengine - INFO - Epoch(train) [68][500/940] lr: 1.0000e-03 eta: 4:41:15 time: 0.5528 data_time: 0.0286 memory: 31836 grad_norm: 5.0836 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0125 loss: 1.0125 2022/10/14 06:55:27 - mmengine - INFO - Epoch(train) [68][520/940] lr: 1.0000e-03 eta: 4:41:04 time: 0.5432 data_time: 0.0304 memory: 31836 grad_norm: 4.9017 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9729 loss: 0.9729 2022/10/14 06:55:38 - mmengine - INFO - Epoch(train) [68][540/940] lr: 1.0000e-03 eta: 4:40:53 time: 0.5464 data_time: 0.0306 memory: 31836 grad_norm: 4.8259 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0073 loss: 1.0073 2022/10/14 06:55:49 - mmengine - INFO - Epoch(train) [68][560/940] lr: 1.0000e-03 eta: 4:40:42 time: 0.5459 data_time: 0.0236 memory: 31836 grad_norm: 5.0076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/10/14 06:56:00 - mmengine - INFO - Epoch(train) [68][580/940] lr: 1.0000e-03 eta: 4:40:31 time: 0.5488 data_time: 0.0306 memory: 31836 grad_norm: 5.0474 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9758 loss: 0.9758 2022/10/14 06:56:11 - mmengine - INFO - Epoch(train) [68][600/940] lr: 1.0000e-03 eta: 4:40:20 time: 0.5438 data_time: 0.0248 memory: 31836 grad_norm: 4.8964 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/10/14 06:56:22 - mmengine - INFO - Epoch(train) [68][620/940] lr: 1.0000e-03 eta: 4:40:09 time: 0.5501 data_time: 0.0271 memory: 31836 grad_norm: 4.9568 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9914 loss: 0.9914 2022/10/14 06:56:33 - mmengine - INFO - Epoch(train) [68][640/940] lr: 1.0000e-03 eta: 4:39:57 time: 0.5433 data_time: 0.0280 memory: 31836 grad_norm: 5.1434 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0166 loss: 1.0166 2022/10/14 06:56:44 - mmengine - INFO - Epoch(train) [68][660/940] lr: 1.0000e-03 eta: 4:39:46 time: 0.5527 data_time: 0.0268 memory: 31836 grad_norm: 4.9805 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/10/14 06:56:55 - mmengine - INFO - Epoch(train) [68][680/940] lr: 1.0000e-03 eta: 4:39:35 time: 0.5515 data_time: 0.0227 memory: 31836 grad_norm: 4.9519 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/10/14 06:57:06 - mmengine - INFO - Epoch(train) [68][700/940] lr: 1.0000e-03 eta: 4:39:24 time: 0.5515 data_time: 0.0285 memory: 31836 grad_norm: 4.9664 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9894 loss: 0.9894 2022/10/14 06:57:17 - mmengine - INFO - Epoch(train) [68][720/940] lr: 1.0000e-03 eta: 4:39:13 time: 0.5410 data_time: 0.0307 memory: 31836 grad_norm: 4.9141 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8670 loss: 0.8670 2022/10/14 06:57:28 - mmengine - INFO - Epoch(train) [68][740/940] lr: 1.0000e-03 eta: 4:39:02 time: 0.5499 data_time: 0.0340 memory: 31836 grad_norm: 4.9353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9809 loss: 0.9809 2022/10/14 06:57:39 - mmengine - INFO - Epoch(train) [68][760/940] lr: 1.0000e-03 eta: 4:38:51 time: 0.5561 data_time: 0.0330 memory: 31836 grad_norm: 4.9945 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9671 loss: 0.9671 2022/10/14 06:57:50 - mmengine - INFO - Epoch(train) [68][780/940] lr: 1.0000e-03 eta: 4:38:40 time: 0.5407 data_time: 0.0290 memory: 31836 grad_norm: 4.8628 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0383 loss: 1.0383 2022/10/14 06:58:00 - mmengine - INFO - Epoch(train) [68][800/940] lr: 1.0000e-03 eta: 4:38:29 time: 0.5352 data_time: 0.0281 memory: 31836 grad_norm: 4.9199 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8991 loss: 0.8991 2022/10/14 06:58:11 - mmengine - INFO - Epoch(train) [68][820/940] lr: 1.0000e-03 eta: 4:38:17 time: 0.5429 data_time: 0.0246 memory: 31836 grad_norm: 5.1017 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0597 loss: 1.0597 2022/10/14 06:58:22 - mmengine - INFO - Epoch(train) [68][840/940] lr: 1.0000e-03 eta: 4:38:06 time: 0.5502 data_time: 0.0252 memory: 31836 grad_norm: 5.1225 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1166 loss: 1.1166 2022/10/14 06:58:33 - mmengine - INFO - Epoch(train) [68][860/940] lr: 1.0000e-03 eta: 4:37:55 time: 0.5443 data_time: 0.0246 memory: 31836 grad_norm: 4.9646 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9882 loss: 0.9882 2022/10/14 06:58:44 - mmengine - INFO - Epoch(train) [68][880/940] lr: 1.0000e-03 eta: 4:37:44 time: 0.5511 data_time: 0.0280 memory: 31836 grad_norm: 4.9854 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8922 loss: 0.8922 2022/10/14 06:58:55 - mmengine - INFO - Epoch(train) [68][900/940] lr: 1.0000e-03 eta: 4:37:33 time: 0.5439 data_time: 0.0256 memory: 31836 grad_norm: 5.0738 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0333 loss: 1.0333 2022/10/14 06:59:06 - mmengine - INFO - Epoch(train) [68][920/940] lr: 1.0000e-03 eta: 4:37:22 time: 0.5467 data_time: 0.0281 memory: 31836 grad_norm: 4.9217 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9714 loss: 0.9714 2022/10/14 06:59:16 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 06:59:16 - mmengine - INFO - Epoch(train) [68][940/940] lr: 1.0000e-03 eta: 4:37:10 time: 0.5138 data_time: 0.0233 memory: 31836 grad_norm: 5.4084 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9125 loss: 0.9125 2022/10/14 06:59:29 - mmengine - INFO - Epoch(val) [68][20/78] eta: 0:00:37 time: 0.6483 data_time: 0.4978 memory: 3561 2022/10/14 06:59:38 - mmengine - INFO - Epoch(val) [68][40/78] eta: 0:00:16 time: 0.4463 data_time: 0.2945 memory: 3561 2022/10/14 06:59:51 - mmengine - INFO - Epoch(val) [68][60/78] eta: 0:00:11 time: 0.6395 data_time: 0.4932 memory: 3561 2022/10/14 07:00:01 - mmengine - INFO - Epoch(val) [68][78/78] acc/top1: 0.6911 acc/top5: 0.8825 acc/mean1: 0.6910 2022/10/14 07:00:16 - mmengine - INFO - Epoch(train) [69][20/940] lr: 1.0000e-03 eta: 4:37:02 time: 0.7943 data_time: 0.2076 memory: 31836 grad_norm: 4.9996 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9140 loss: 0.9140 2022/10/14 07:00:28 - mmengine - INFO - Epoch(train) [69][40/940] lr: 1.0000e-03 eta: 4:36:51 time: 0.5519 data_time: 0.0250 memory: 31836 grad_norm: 4.9512 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0668 loss: 1.0668 2022/10/14 07:00:39 - mmengine - INFO - Epoch(train) [69][60/940] lr: 1.0000e-03 eta: 4:36:40 time: 0.5578 data_time: 0.0307 memory: 31836 grad_norm: 4.8925 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.0646 loss: 1.0646 2022/10/14 07:00:50 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:00:50 - mmengine - INFO - Epoch(train) [69][80/940] lr: 1.0000e-03 eta: 4:36:28 time: 0.5501 data_time: 0.0292 memory: 31836 grad_norm: 5.0078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0153 loss: 1.0153 2022/10/14 07:01:01 - mmengine - INFO - Epoch(train) [69][100/940] lr: 1.0000e-03 eta: 4:36:17 time: 0.5411 data_time: 0.0227 memory: 31836 grad_norm: 5.0007 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0034 loss: 1.0034 2022/10/14 07:01:11 - mmengine - INFO - Epoch(train) [69][120/940] lr: 1.0000e-03 eta: 4:36:06 time: 0.5444 data_time: 0.0304 memory: 31836 grad_norm: 4.8888 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/10/14 07:01:22 - mmengine - INFO - Epoch(train) [69][140/940] lr: 1.0000e-03 eta: 4:35:55 time: 0.5506 data_time: 0.0334 memory: 31836 grad_norm: 4.9370 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/10/14 07:01:33 - mmengine - INFO - Epoch(train) [69][160/940] lr: 1.0000e-03 eta: 4:35:44 time: 0.5453 data_time: 0.0254 memory: 31836 grad_norm: 4.9217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9029 loss: 0.9029 2022/10/14 07:01:44 - mmengine - INFO - Epoch(train) [69][180/940] lr: 1.0000e-03 eta: 4:35:33 time: 0.5434 data_time: 0.0243 memory: 31836 grad_norm: 5.0879 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8353 loss: 0.8353 2022/10/14 07:01:55 - mmengine - INFO - Epoch(train) [69][200/940] lr: 1.0000e-03 eta: 4:35:22 time: 0.5555 data_time: 0.0295 memory: 31836 grad_norm: 4.9705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9472 loss: 0.9472 2022/10/14 07:02:06 - mmengine - INFO - Epoch(train) [69][220/940] lr: 1.0000e-03 eta: 4:35:11 time: 0.5507 data_time: 0.0320 memory: 31836 grad_norm: 5.0156 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9379 loss: 0.9379 2022/10/14 07:02:17 - mmengine - INFO - Epoch(train) [69][240/940] lr: 1.0000e-03 eta: 4:35:00 time: 0.5429 data_time: 0.0264 memory: 31836 grad_norm: 5.0565 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8153 loss: 0.8153 2022/10/14 07:02:28 - mmengine - INFO - Epoch(train) [69][260/940] lr: 1.0000e-03 eta: 4:34:48 time: 0.5435 data_time: 0.0251 memory: 31836 grad_norm: 4.9361 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8952 loss: 0.8952 2022/10/14 07:02:39 - mmengine - INFO - Epoch(train) [69][280/940] lr: 1.0000e-03 eta: 4:34:37 time: 0.5420 data_time: 0.0275 memory: 31836 grad_norm: 5.0288 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0801 loss: 1.0801 2022/10/14 07:02:50 - mmengine - INFO - Epoch(train) [69][300/940] lr: 1.0000e-03 eta: 4:34:26 time: 0.5456 data_time: 0.0265 memory: 31836 grad_norm: 5.0512 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8780 loss: 0.8780 2022/10/14 07:03:01 - mmengine - INFO - Epoch(train) [69][320/940] lr: 1.0000e-03 eta: 4:34:15 time: 0.5452 data_time: 0.0309 memory: 31836 grad_norm: 5.0853 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0730 loss: 1.0730 2022/10/14 07:03:13 - mmengine - INFO - Epoch(train) [69][340/940] lr: 1.0000e-03 eta: 4:34:04 time: 0.6137 data_time: 0.0294 memory: 31836 grad_norm: 5.0574 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8700 loss: 0.8700 2022/10/14 07:03:24 - mmengine - INFO - Epoch(train) [69][360/940] lr: 1.0000e-03 eta: 4:33:53 time: 0.5484 data_time: 0.0312 memory: 31836 grad_norm: 4.9237 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0359 loss: 1.0359 2022/10/14 07:03:35 - mmengine - INFO - Epoch(train) [69][380/940] lr: 1.0000e-03 eta: 4:33:42 time: 0.5514 data_time: 0.0273 memory: 31836 grad_norm: 4.7980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9398 loss: 0.9398 2022/10/14 07:03:46 - mmengine - INFO - Epoch(train) [69][400/940] lr: 1.0000e-03 eta: 4:33:31 time: 0.5535 data_time: 0.0306 memory: 31836 grad_norm: 4.9966 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9406 loss: 0.9406 2022/10/14 07:03:57 - mmengine - INFO - Epoch(train) [69][420/940] lr: 1.0000e-03 eta: 4:33:20 time: 0.5524 data_time: 0.0282 memory: 31836 grad_norm: 5.1159 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0298 loss: 1.0298 2022/10/14 07:04:08 - mmengine - INFO - Epoch(train) [69][440/940] lr: 1.0000e-03 eta: 4:33:09 time: 0.5421 data_time: 0.0252 memory: 31836 grad_norm: 5.0550 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9945 loss: 0.9945 2022/10/14 07:04:19 - mmengine - INFO - Epoch(train) [69][460/940] lr: 1.0000e-03 eta: 4:32:58 time: 0.5490 data_time: 0.0293 memory: 31836 grad_norm: 5.1584 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9909 loss: 0.9909 2022/10/14 07:04:30 - mmengine - INFO - Epoch(train) [69][480/940] lr: 1.0000e-03 eta: 4:32:47 time: 0.5551 data_time: 0.0287 memory: 31836 grad_norm: 4.9654 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8426 loss: 0.8426 2022/10/14 07:04:41 - mmengine - INFO - Epoch(train) [69][500/940] lr: 1.0000e-03 eta: 4:32:36 time: 0.5367 data_time: 0.0303 memory: 31836 grad_norm: 4.9147 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9352 loss: 0.9352 2022/10/14 07:04:52 - mmengine - INFO - Epoch(train) [69][520/940] lr: 1.0000e-03 eta: 4:32:25 time: 0.5460 data_time: 0.0292 memory: 31836 grad_norm: 5.0135 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9662 loss: 0.9662 2022/10/14 07:05:03 - mmengine - INFO - Epoch(train) [69][540/940] lr: 1.0000e-03 eta: 4:32:13 time: 0.5456 data_time: 0.0235 memory: 31836 grad_norm: 4.9212 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9956 loss: 0.9956 2022/10/14 07:05:14 - mmengine - INFO - Epoch(train) [69][560/940] lr: 1.0000e-03 eta: 4:32:02 time: 0.5576 data_time: 0.0291 memory: 31836 grad_norm: 5.0083 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9372 loss: 0.9372 2022/10/14 07:05:25 - mmengine - INFO - Epoch(train) [69][580/940] lr: 1.0000e-03 eta: 4:31:51 time: 0.5474 data_time: 0.0251 memory: 31836 grad_norm: 5.0494 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9623 loss: 0.9623 2022/10/14 07:05:36 - mmengine - INFO - Epoch(train) [69][600/940] lr: 1.0000e-03 eta: 4:31:40 time: 0.5415 data_time: 0.0272 memory: 31836 grad_norm: 5.2561 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0591 loss: 1.0591 2022/10/14 07:05:46 - mmengine - INFO - Epoch(train) [69][620/940] lr: 1.0000e-03 eta: 4:31:29 time: 0.5450 data_time: 0.0282 memory: 31836 grad_norm: 4.8391 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9163 loss: 0.9163 2022/10/14 07:05:57 - mmengine - INFO - Epoch(train) [69][640/940] lr: 1.0000e-03 eta: 4:31:18 time: 0.5471 data_time: 0.0298 memory: 31836 grad_norm: 4.8513 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0352 loss: 1.0352 2022/10/14 07:06:08 - mmengine - INFO - Epoch(train) [69][660/940] lr: 1.0000e-03 eta: 4:31:07 time: 0.5486 data_time: 0.0253 memory: 31836 grad_norm: 4.9454 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8870 loss: 0.8870 2022/10/14 07:06:19 - mmengine - INFO - Epoch(train) [69][680/940] lr: 1.0000e-03 eta: 4:30:56 time: 0.5396 data_time: 0.0242 memory: 31836 grad_norm: 4.9701 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9222 loss: 0.9222 2022/10/14 07:06:30 - mmengine - INFO - Epoch(train) [69][700/940] lr: 1.0000e-03 eta: 4:30:45 time: 0.5517 data_time: 0.0265 memory: 31836 grad_norm: 4.9910 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/10/14 07:06:41 - mmengine - INFO - Epoch(train) [69][720/940] lr: 1.0000e-03 eta: 4:30:33 time: 0.5445 data_time: 0.0230 memory: 31836 grad_norm: 4.9197 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.8864 loss: 0.8864 2022/10/14 07:06:52 - mmengine - INFO - Epoch(train) [69][740/940] lr: 1.0000e-03 eta: 4:30:22 time: 0.5404 data_time: 0.0241 memory: 31836 grad_norm: 5.0561 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0860 loss: 1.0860 2022/10/14 07:07:03 - mmengine - INFO - Epoch(train) [69][760/940] lr: 1.0000e-03 eta: 4:30:11 time: 0.5524 data_time: 0.0298 memory: 31836 grad_norm: 5.0128 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9335 loss: 0.9335 2022/10/14 07:07:14 - mmengine - INFO - Epoch(train) [69][780/940] lr: 1.0000e-03 eta: 4:30:00 time: 0.5432 data_time: 0.0255 memory: 31836 grad_norm: 5.0163 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0034 loss: 1.0034 2022/10/14 07:07:25 - mmengine - INFO - Epoch(train) [69][800/940] lr: 1.0000e-03 eta: 4:29:49 time: 0.5504 data_time: 0.0269 memory: 31836 grad_norm: 5.0916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0326 loss: 1.0326 2022/10/14 07:07:36 - mmengine - INFO - Epoch(train) [69][820/940] lr: 1.0000e-03 eta: 4:29:38 time: 0.5501 data_time: 0.0264 memory: 31836 grad_norm: 5.1633 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0160 loss: 1.0160 2022/10/14 07:07:47 - mmengine - INFO - Epoch(train) [69][840/940] lr: 1.0000e-03 eta: 4:29:27 time: 0.5422 data_time: 0.0234 memory: 31836 grad_norm: 5.0171 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9279 loss: 0.9279 2022/10/14 07:07:58 - mmengine - INFO - Epoch(train) [69][860/940] lr: 1.0000e-03 eta: 4:29:16 time: 0.5426 data_time: 0.0270 memory: 31836 grad_norm: 5.0765 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.8994 loss: 0.8994 2022/10/14 07:08:08 - mmengine - INFO - Epoch(train) [69][880/940] lr: 1.0000e-03 eta: 4:29:04 time: 0.5438 data_time: 0.0246 memory: 31836 grad_norm: 5.0004 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0182 loss: 1.0182 2022/10/14 07:08:19 - mmengine - INFO - Epoch(train) [69][900/940] lr: 1.0000e-03 eta: 4:28:53 time: 0.5493 data_time: 0.0328 memory: 31836 grad_norm: 4.9626 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9842 loss: 0.9842 2022/10/14 07:08:30 - mmengine - INFO - Epoch(train) [69][920/940] lr: 1.0000e-03 eta: 4:28:42 time: 0.5450 data_time: 0.0299 memory: 31836 grad_norm: 5.0163 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0774 loss: 1.0774 2022/10/14 07:08:41 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:08:41 - mmengine - INFO - Epoch(train) [69][940/940] lr: 1.0000e-03 eta: 4:28:31 time: 0.5134 data_time: 0.0227 memory: 31836 grad_norm: 5.3175 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8845 loss: 0.8845 2022/10/14 07:08:41 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/10/14 07:08:54 - mmengine - INFO - Epoch(val) [69][20/78] eta: 0:00:36 time: 0.6256 data_time: 0.4756 memory: 3561 2022/10/14 07:09:03 - mmengine - INFO - Epoch(val) [69][40/78] eta: 0:00:16 time: 0.4352 data_time: 0.2853 memory: 3561 2022/10/14 07:09:14 - mmengine - INFO - Epoch(val) [69][60/78] eta: 0:00:10 time: 0.5601 data_time: 0.4089 memory: 3561 2022/10/14 07:09:25 - mmengine - INFO - Epoch(val) [69][78/78] acc/top1: 0.6923 acc/top5: 0.8803 acc/mean1: 0.6922 2022/10/14 07:09:41 - mmengine - INFO - Epoch(train) [70][20/940] lr: 1.0000e-03 eta: 4:28:22 time: 0.8031 data_time: 0.2018 memory: 31836 grad_norm: 4.9424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9571 loss: 0.9571 2022/10/14 07:09:52 - mmengine - INFO - Epoch(train) [70][40/940] lr: 1.0000e-03 eta: 4:28:11 time: 0.5568 data_time: 0.0318 memory: 31836 grad_norm: 4.9884 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.1156 loss: 1.1156 2022/10/14 07:10:03 - mmengine - INFO - Epoch(train) [70][60/940] lr: 1.0000e-03 eta: 4:28:00 time: 0.5602 data_time: 0.0300 memory: 31836 grad_norm: 5.0589 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9596 loss: 0.9596 2022/10/14 07:10:15 - mmengine - INFO - Epoch(train) [70][80/940] lr: 1.0000e-03 eta: 4:27:49 time: 0.5543 data_time: 0.0266 memory: 31836 grad_norm: 5.0039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/10/14 07:10:26 - mmengine - INFO - Epoch(train) [70][100/940] lr: 1.0000e-03 eta: 4:27:38 time: 0.5518 data_time: 0.0307 memory: 31836 grad_norm: 5.0242 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0685 loss: 1.0685 2022/10/14 07:10:37 - mmengine - INFO - Epoch(train) [70][120/940] lr: 1.0000e-03 eta: 4:27:27 time: 0.5469 data_time: 0.0299 memory: 31836 grad_norm: 4.9159 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9283 loss: 0.9283 2022/10/14 07:10:47 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:10:47 - mmengine - INFO - Epoch(train) [70][140/940] lr: 1.0000e-03 eta: 4:27:16 time: 0.5439 data_time: 0.0271 memory: 31836 grad_norm: 4.9810 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0580 loss: 1.0580 2022/10/14 07:10:58 - mmengine - INFO - Epoch(train) [70][160/940] lr: 1.0000e-03 eta: 4:27:04 time: 0.5421 data_time: 0.0289 memory: 31836 grad_norm: 4.9807 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9493 loss: 0.9493 2022/10/14 07:11:10 - mmengine - INFO - Epoch(train) [70][180/940] lr: 1.0000e-03 eta: 4:26:54 time: 0.5861 data_time: 0.0269 memory: 31836 grad_norm: 5.0880 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9772 loss: 0.9772 2022/10/14 07:11:21 - mmengine - INFO - Epoch(train) [70][200/940] lr: 1.0000e-03 eta: 4:26:43 time: 0.5460 data_time: 0.0262 memory: 31836 grad_norm: 4.9759 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9824 loss: 0.9824 2022/10/14 07:11:32 - mmengine - INFO - Epoch(train) [70][220/940] lr: 1.0000e-03 eta: 4:26:32 time: 0.5680 data_time: 0.0324 memory: 31836 grad_norm: 5.0513 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 1.0412 loss: 1.0412 2022/10/14 07:11:43 - mmengine - INFO - Epoch(train) [70][240/940] lr: 1.0000e-03 eta: 4:26:21 time: 0.5527 data_time: 0.0200 memory: 31836 grad_norm: 5.0563 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8688 loss: 0.8688 2022/10/14 07:11:54 - mmengine - INFO - Epoch(train) [70][260/940] lr: 1.0000e-03 eta: 4:26:09 time: 0.5527 data_time: 0.0272 memory: 31836 grad_norm: 5.0339 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0526 loss: 1.0526 2022/10/14 07:12:05 - mmengine - INFO - Epoch(train) [70][280/940] lr: 1.0000e-03 eta: 4:25:58 time: 0.5437 data_time: 0.0244 memory: 31836 grad_norm: 5.0415 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9237 loss: 0.9237 2022/10/14 07:12:16 - mmengine - INFO - Epoch(train) [70][300/940] lr: 1.0000e-03 eta: 4:25:47 time: 0.5471 data_time: 0.0286 memory: 31836 grad_norm: 5.0405 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0586 loss: 1.0586 2022/10/14 07:12:27 - mmengine - INFO - Epoch(train) [70][320/940] lr: 1.0000e-03 eta: 4:25:36 time: 0.5465 data_time: 0.0242 memory: 31836 grad_norm: 5.0254 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9794 loss: 0.9794 2022/10/14 07:12:38 - mmengine - INFO - Epoch(train) [70][340/940] lr: 1.0000e-03 eta: 4:25:25 time: 0.5460 data_time: 0.0284 memory: 31836 grad_norm: 5.0018 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8944 loss: 0.8944 2022/10/14 07:12:49 - mmengine - INFO - Epoch(train) [70][360/940] lr: 1.0000e-03 eta: 4:25:14 time: 0.5471 data_time: 0.0328 memory: 31836 grad_norm: 5.0108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/10/14 07:13:00 - mmengine - INFO - Epoch(train) [70][380/940] lr: 1.0000e-03 eta: 4:25:03 time: 0.5430 data_time: 0.0313 memory: 31836 grad_norm: 5.0198 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0276 loss: 1.0276 2022/10/14 07:13:12 - mmengine - INFO - Epoch(train) [70][400/940] lr: 1.0000e-03 eta: 4:24:52 time: 0.5966 data_time: 0.0326 memory: 31836 grad_norm: 4.9196 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/10/14 07:13:23 - mmengine - INFO - Epoch(train) [70][420/940] lr: 1.0000e-03 eta: 4:24:41 time: 0.5622 data_time: 0.0280 memory: 31836 grad_norm: 5.1413 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9898 loss: 0.9898 2022/10/14 07:13:34 - mmengine - INFO - Epoch(train) [70][440/940] lr: 1.0000e-03 eta: 4:24:30 time: 0.5508 data_time: 0.0230 memory: 31836 grad_norm: 5.0475 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9160 loss: 0.9160 2022/10/14 07:13:45 - mmengine - INFO - Epoch(train) [70][460/940] lr: 1.0000e-03 eta: 4:24:19 time: 0.5516 data_time: 0.0251 memory: 31836 grad_norm: 5.0460 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9093 loss: 0.9093 2022/10/14 07:13:56 - mmengine - INFO - Epoch(train) [70][480/940] lr: 1.0000e-03 eta: 4:24:08 time: 0.5466 data_time: 0.0269 memory: 31836 grad_norm: 4.9455 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0201 loss: 1.0201 2022/10/14 07:14:07 - mmengine - INFO - Epoch(train) [70][500/940] lr: 1.0000e-03 eta: 4:23:57 time: 0.5457 data_time: 0.0281 memory: 31836 grad_norm: 4.9285 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9536 loss: 0.9536 2022/10/14 07:14:18 - mmengine - INFO - Epoch(train) [70][520/940] lr: 1.0000e-03 eta: 4:23:46 time: 0.5524 data_time: 0.0276 memory: 31836 grad_norm: 5.0075 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9421 loss: 0.9421 2022/10/14 07:14:29 - mmengine - INFO - Epoch(train) [70][540/940] lr: 1.0000e-03 eta: 4:23:35 time: 0.5452 data_time: 0.0364 memory: 31836 grad_norm: 5.0546 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0358 loss: 1.0358 2022/10/14 07:14:40 - mmengine - INFO - Epoch(train) [70][560/940] lr: 1.0000e-03 eta: 4:23:23 time: 0.5444 data_time: 0.0229 memory: 31836 grad_norm: 4.9275 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9301 loss: 0.9301 2022/10/14 07:14:52 - mmengine - INFO - Epoch(train) [70][580/940] lr: 1.0000e-03 eta: 4:23:13 time: 0.6193 data_time: 0.0268 memory: 31836 grad_norm: 4.9581 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9253 loss: 0.9253 2022/10/14 07:15:03 - mmengine - INFO - Epoch(train) [70][600/940] lr: 1.0000e-03 eta: 4:23:02 time: 0.5481 data_time: 0.0338 memory: 31836 grad_norm: 5.0329 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9680 loss: 0.9680 2022/10/14 07:15:14 - mmengine - INFO - Epoch(train) [70][620/940] lr: 1.0000e-03 eta: 4:22:51 time: 0.5583 data_time: 0.0374 memory: 31836 grad_norm: 5.1171 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0759 loss: 1.0759 2022/10/14 07:15:25 - mmengine - INFO - Epoch(train) [70][640/940] lr: 1.0000e-03 eta: 4:22:40 time: 0.5485 data_time: 0.0292 memory: 31836 grad_norm: 5.0010 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9784 loss: 0.9784 2022/10/14 07:15:36 - mmengine - INFO - Epoch(train) [70][660/940] lr: 1.0000e-03 eta: 4:22:29 time: 0.5466 data_time: 0.0279 memory: 31836 grad_norm: 5.0312 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 1.0162 loss: 1.0162 2022/10/14 07:15:47 - mmengine - INFO - Epoch(train) [70][680/940] lr: 1.0000e-03 eta: 4:22:17 time: 0.5475 data_time: 0.0300 memory: 31836 grad_norm: 5.0747 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9444 loss: 0.9444 2022/10/14 07:15:58 - mmengine - INFO - Epoch(train) [70][700/940] lr: 1.0000e-03 eta: 4:22:06 time: 0.5481 data_time: 0.0290 memory: 31836 grad_norm: 5.0678 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9402 loss: 0.9402 2022/10/14 07:16:09 - mmengine - INFO - Epoch(train) [70][720/940] lr: 1.0000e-03 eta: 4:21:55 time: 0.5472 data_time: 0.0308 memory: 31836 grad_norm: 5.1022 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9891 loss: 0.9891 2022/10/14 07:16:20 - mmengine - INFO - Epoch(train) [70][740/940] lr: 1.0000e-03 eta: 4:21:44 time: 0.5427 data_time: 0.0268 memory: 31836 grad_norm: 5.0550 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1094 loss: 1.1094 2022/10/14 07:16:31 - mmengine - INFO - Epoch(train) [70][760/940] lr: 1.0000e-03 eta: 4:21:33 time: 0.5508 data_time: 0.0284 memory: 31836 grad_norm: 4.8879 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9255 loss: 0.9255 2022/10/14 07:16:42 - mmengine - INFO - Epoch(train) [70][780/940] lr: 1.0000e-03 eta: 4:21:22 time: 0.5454 data_time: 0.0284 memory: 31836 grad_norm: 5.0931 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/10/14 07:16:53 - mmengine - INFO - Epoch(train) [70][800/940] lr: 1.0000e-03 eta: 4:21:11 time: 0.5449 data_time: 0.0316 memory: 31836 grad_norm: 5.0281 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9651 loss: 0.9651 2022/10/14 07:17:04 - mmengine - INFO - Epoch(train) [70][820/940] lr: 1.0000e-03 eta: 4:21:00 time: 0.5447 data_time: 0.0314 memory: 31836 grad_norm: 5.0850 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9378 loss: 0.9378 2022/10/14 07:17:15 - mmengine - INFO - Epoch(train) [70][840/940] lr: 1.0000e-03 eta: 4:20:49 time: 0.5443 data_time: 0.0310 memory: 31836 grad_norm: 5.1363 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9728 loss: 0.9728 2022/10/14 07:17:25 - mmengine - INFO - Epoch(train) [70][860/940] lr: 1.0000e-03 eta: 4:20:37 time: 0.5413 data_time: 0.0237 memory: 31836 grad_norm: 4.9363 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8961 loss: 0.8961 2022/10/14 07:17:36 - mmengine - INFO - Epoch(train) [70][880/940] lr: 1.0000e-03 eta: 4:20:26 time: 0.5420 data_time: 0.0267 memory: 31836 grad_norm: 5.1173 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0075 loss: 1.0075 2022/10/14 07:17:47 - mmengine - INFO - Epoch(train) [70][900/940] lr: 1.0000e-03 eta: 4:20:15 time: 0.5420 data_time: 0.0243 memory: 31836 grad_norm: 5.0442 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0379 loss: 1.0379 2022/10/14 07:17:58 - mmengine - INFO - Epoch(train) [70][920/940] lr: 1.0000e-03 eta: 4:20:04 time: 0.5460 data_time: 0.0300 memory: 31836 grad_norm: 4.9053 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9880 loss: 0.9880 2022/10/14 07:18:08 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:18:08 - mmengine - INFO - Epoch(train) [70][940/940] lr: 1.0000e-03 eta: 4:19:53 time: 0.5131 data_time: 0.0247 memory: 31836 grad_norm: 5.3995 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9804 loss: 0.9804 2022/10/14 07:18:21 - mmengine - INFO - Epoch(val) [70][20/78] eta: 0:00:37 time: 0.6383 data_time: 0.4854 memory: 3561 2022/10/14 07:18:30 - mmengine - INFO - Epoch(val) [70][40/78] eta: 0:00:16 time: 0.4372 data_time: 0.2893 memory: 3561 2022/10/14 07:18:41 - mmengine - INFO - Epoch(val) [70][60/78] eta: 0:00:10 time: 0.5587 data_time: 0.4099 memory: 3561 2022/10/14 07:18:51 - mmengine - INFO - Epoch(val) [70][78/78] acc/top1: 0.6917 acc/top5: 0.8801 acc/mean1: 0.6916 2022/10/14 07:19:07 - mmengine - INFO - Epoch(train) [71][20/940] lr: 1.0000e-03 eta: 4:19:43 time: 0.7800 data_time: 0.2211 memory: 31836 grad_norm: 5.1635 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1496 loss: 1.1496 2022/10/14 07:19:18 - mmengine - INFO - Epoch(train) [71][40/940] lr: 1.0000e-03 eta: 4:19:32 time: 0.5686 data_time: 0.0248 memory: 31836 grad_norm: 5.0087 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9636 loss: 0.9636 2022/10/14 07:19:29 - mmengine - INFO - Epoch(train) [71][60/940] lr: 1.0000e-03 eta: 4:19:22 time: 0.5629 data_time: 0.0303 memory: 31836 grad_norm: 4.8607 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9057 loss: 0.9057 2022/10/14 07:19:41 - mmengine - INFO - Epoch(train) [71][80/940] lr: 1.0000e-03 eta: 4:19:10 time: 0.5547 data_time: 0.0257 memory: 31836 grad_norm: 4.9099 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9979 loss: 0.9979 2022/10/14 07:19:52 - mmengine - INFO - Epoch(train) [71][100/940] lr: 1.0000e-03 eta: 4:18:59 time: 0.5615 data_time: 0.0404 memory: 31836 grad_norm: 4.9980 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9457 loss: 0.9457 2022/10/14 07:20:03 - mmengine - INFO - Epoch(train) [71][120/940] lr: 1.0000e-03 eta: 4:18:48 time: 0.5453 data_time: 0.0286 memory: 31836 grad_norm: 5.1313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8933 loss: 0.8933 2022/10/14 07:20:14 - mmengine - INFO - Epoch(train) [71][140/940] lr: 1.0000e-03 eta: 4:18:37 time: 0.5463 data_time: 0.0278 memory: 31836 grad_norm: 5.0281 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/10/14 07:20:24 - mmengine - INFO - Epoch(train) [71][160/940] lr: 1.0000e-03 eta: 4:18:26 time: 0.5453 data_time: 0.0266 memory: 31836 grad_norm: 5.2277 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/10/14 07:20:35 - mmengine - INFO - Epoch(train) [71][180/940] lr: 1.0000e-03 eta: 4:18:15 time: 0.5391 data_time: 0.0272 memory: 31836 grad_norm: 5.0453 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9035 loss: 0.9035 2022/10/14 07:20:46 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:20:46 - mmengine - INFO - Epoch(train) [71][200/940] lr: 1.0000e-03 eta: 4:18:04 time: 0.5435 data_time: 0.0287 memory: 31836 grad_norm: 4.9631 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8114 loss: 0.8114 2022/10/14 07:20:57 - mmengine - INFO - Epoch(train) [71][220/940] lr: 1.0000e-03 eta: 4:17:53 time: 0.5536 data_time: 0.0331 memory: 31836 grad_norm: 5.0359 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9264 loss: 0.9264 2022/10/14 07:21:08 - mmengine - INFO - Epoch(train) [71][240/940] lr: 1.0000e-03 eta: 4:17:42 time: 0.5370 data_time: 0.0249 memory: 31836 grad_norm: 4.9930 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9608 loss: 0.9608 2022/10/14 07:21:19 - mmengine - INFO - Epoch(train) [71][260/940] lr: 1.0000e-03 eta: 4:17:30 time: 0.5469 data_time: 0.0298 memory: 31836 grad_norm: 5.0383 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8342 loss: 0.8342 2022/10/14 07:21:30 - mmengine - INFO - Epoch(train) [71][280/940] lr: 1.0000e-03 eta: 4:17:19 time: 0.5475 data_time: 0.0271 memory: 31836 grad_norm: 5.0474 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9525 loss: 0.9525 2022/10/14 07:21:41 - mmengine - INFO - Epoch(train) [71][300/940] lr: 1.0000e-03 eta: 4:17:08 time: 0.5445 data_time: 0.0233 memory: 31836 grad_norm: 5.0255 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8817 loss: 0.8817 2022/10/14 07:21:52 - mmengine - INFO - Epoch(train) [71][320/940] lr: 1.0000e-03 eta: 4:16:57 time: 0.5422 data_time: 0.0283 memory: 31836 grad_norm: 5.0448 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0063 loss: 1.0063 2022/10/14 07:22:03 - mmengine - INFO - Epoch(train) [71][340/940] lr: 1.0000e-03 eta: 4:16:46 time: 0.5504 data_time: 0.0258 memory: 31836 grad_norm: 5.0379 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0223 loss: 1.0223 2022/10/14 07:22:14 - mmengine - INFO - Epoch(train) [71][360/940] lr: 1.0000e-03 eta: 4:16:35 time: 0.5463 data_time: 0.0257 memory: 31836 grad_norm: 5.1192 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0009 loss: 1.0009 2022/10/14 07:22:24 - mmengine - INFO - Epoch(train) [71][380/940] lr: 1.0000e-03 eta: 4:16:24 time: 0.5412 data_time: 0.0249 memory: 31836 grad_norm: 5.1077 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9633 loss: 0.9633 2022/10/14 07:22:35 - mmengine - INFO - Epoch(train) [71][400/940] lr: 1.0000e-03 eta: 4:16:13 time: 0.5458 data_time: 0.0288 memory: 31836 grad_norm: 5.0481 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9373 loss: 0.9373 2022/10/14 07:22:46 - mmengine - INFO - Epoch(train) [71][420/940] lr: 1.0000e-03 eta: 4:16:01 time: 0.5428 data_time: 0.0305 memory: 31836 grad_norm: 5.0904 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9001 loss: 0.9001 2022/10/14 07:22:57 - mmengine - INFO - Epoch(train) [71][440/940] lr: 1.0000e-03 eta: 4:15:50 time: 0.5404 data_time: 0.0277 memory: 31836 grad_norm: 4.9357 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9703 loss: 0.9703 2022/10/14 07:23:08 - mmengine - INFO - Epoch(train) [71][460/940] lr: 1.0000e-03 eta: 4:15:39 time: 0.5422 data_time: 0.0234 memory: 31836 grad_norm: 5.0543 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9673 loss: 0.9673 2022/10/14 07:23:19 - mmengine - INFO - Epoch(train) [71][480/940] lr: 1.0000e-03 eta: 4:15:28 time: 0.5391 data_time: 0.0300 memory: 31836 grad_norm: 5.1869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/10/14 07:23:29 - mmengine - INFO - Epoch(train) [71][500/940] lr: 1.0000e-03 eta: 4:15:17 time: 0.5443 data_time: 0.0260 memory: 31836 grad_norm: 5.1059 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9039 loss: 0.9039 2022/10/14 07:23:40 - mmengine - INFO - Epoch(train) [71][520/940] lr: 1.0000e-03 eta: 4:15:06 time: 0.5430 data_time: 0.0317 memory: 31836 grad_norm: 5.0855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9442 loss: 0.9442 2022/10/14 07:23:51 - mmengine - INFO - Epoch(train) [71][540/940] lr: 1.0000e-03 eta: 4:14:55 time: 0.5460 data_time: 0.0258 memory: 31836 grad_norm: 5.0880 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0385 loss: 1.0385 2022/10/14 07:24:02 - mmengine - INFO - Epoch(train) [71][560/940] lr: 1.0000e-03 eta: 4:14:43 time: 0.5444 data_time: 0.0288 memory: 31836 grad_norm: 5.0340 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0064 loss: 1.0064 2022/10/14 07:24:13 - mmengine - INFO - Epoch(train) [71][580/940] lr: 1.0000e-03 eta: 4:14:32 time: 0.5429 data_time: 0.0271 memory: 31836 grad_norm: 5.1302 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9646 loss: 0.9646 2022/10/14 07:24:24 - mmengine - INFO - Epoch(train) [71][600/940] lr: 1.0000e-03 eta: 4:14:21 time: 0.5464 data_time: 0.0271 memory: 31836 grad_norm: 4.9381 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8927 loss: 0.8927 2022/10/14 07:24:35 - mmengine - INFO - Epoch(train) [71][620/940] lr: 1.0000e-03 eta: 4:14:10 time: 0.5409 data_time: 0.0251 memory: 31836 grad_norm: 4.9322 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9418 loss: 0.9418 2022/10/14 07:24:46 - mmengine - INFO - Epoch(train) [71][640/940] lr: 1.0000e-03 eta: 4:13:59 time: 0.5431 data_time: 0.0248 memory: 31836 grad_norm: 4.9628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8509 loss: 0.8509 2022/10/14 07:24:56 - mmengine - INFO - Epoch(train) [71][660/940] lr: 1.0000e-03 eta: 4:13:48 time: 0.5419 data_time: 0.0284 memory: 31836 grad_norm: 5.2141 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9661 loss: 0.9661 2022/10/14 07:25:07 - mmengine - INFO - Epoch(train) [71][680/940] lr: 1.0000e-03 eta: 4:13:37 time: 0.5443 data_time: 0.0297 memory: 31836 grad_norm: 5.1064 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9623 loss: 0.9623 2022/10/14 07:25:18 - mmengine - INFO - Epoch(train) [71][700/940] lr: 1.0000e-03 eta: 4:13:25 time: 0.5417 data_time: 0.0236 memory: 31836 grad_norm: 5.1496 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9263 loss: 0.9263 2022/10/14 07:25:29 - mmengine - INFO - Epoch(train) [71][720/940] lr: 1.0000e-03 eta: 4:13:14 time: 0.5445 data_time: 0.0275 memory: 31836 grad_norm: 5.0276 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8754 loss: 0.8754 2022/10/14 07:25:40 - mmengine - INFO - Epoch(train) [71][740/940] lr: 1.0000e-03 eta: 4:13:03 time: 0.5470 data_time: 0.0290 memory: 31836 grad_norm: 5.1433 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8891 loss: 0.8891 2022/10/14 07:25:51 - mmengine - INFO - Epoch(train) [71][760/940] lr: 1.0000e-03 eta: 4:12:52 time: 0.5397 data_time: 0.0235 memory: 31836 grad_norm: 5.0555 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8585 loss: 0.8585 2022/10/14 07:26:02 - mmengine - INFO - Epoch(train) [71][780/940] lr: 1.0000e-03 eta: 4:12:41 time: 0.5417 data_time: 0.0257 memory: 31836 grad_norm: 5.1235 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0045 loss: 1.0045 2022/10/14 07:26:13 - mmengine - INFO - Epoch(train) [71][800/940] lr: 1.0000e-03 eta: 4:12:30 time: 0.5446 data_time: 0.0246 memory: 31836 grad_norm: 5.1555 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9560 loss: 0.9560 2022/10/14 07:26:23 - mmengine - INFO - Epoch(train) [71][820/940] lr: 1.0000e-03 eta: 4:12:19 time: 0.5410 data_time: 0.0255 memory: 31836 grad_norm: 5.2339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0345 loss: 1.0345 2022/10/14 07:26:34 - mmengine - INFO - Epoch(train) [71][840/940] lr: 1.0000e-03 eta: 4:12:07 time: 0.5457 data_time: 0.0241 memory: 31836 grad_norm: 5.0221 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8253 loss: 0.8253 2022/10/14 07:26:45 - mmengine - INFO - Epoch(train) [71][860/940] lr: 1.0000e-03 eta: 4:11:56 time: 0.5419 data_time: 0.0340 memory: 31836 grad_norm: 5.2428 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/10/14 07:26:56 - mmengine - INFO - Epoch(train) [71][880/940] lr: 1.0000e-03 eta: 4:11:45 time: 0.5427 data_time: 0.0268 memory: 31836 grad_norm: 5.0714 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9245 loss: 0.9245 2022/10/14 07:27:07 - mmengine - INFO - Epoch(train) [71][900/940] lr: 1.0000e-03 eta: 4:11:34 time: 0.5433 data_time: 0.0236 memory: 31836 grad_norm: 5.1340 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0477 loss: 1.0477 2022/10/14 07:27:18 - mmengine - INFO - Epoch(train) [71][920/940] lr: 1.0000e-03 eta: 4:11:23 time: 0.5509 data_time: 0.0300 memory: 31836 grad_norm: 4.9998 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0035 loss: 1.0035 2022/10/14 07:27:28 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:27:28 - mmengine - INFO - Epoch(train) [71][940/940] lr: 1.0000e-03 eta: 4:11:12 time: 0.5165 data_time: 0.0253 memory: 31836 grad_norm: 5.4342 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9955 loss: 0.9955 2022/10/14 07:27:41 - mmengine - INFO - Epoch(val) [71][20/78] eta: 0:00:36 time: 0.6220 data_time: 0.4717 memory: 3561 2022/10/14 07:27:49 - mmengine - INFO - Epoch(val) [71][40/78] eta: 0:00:16 time: 0.4339 data_time: 0.2868 memory: 3561 2022/10/14 07:28:01 - mmengine - INFO - Epoch(val) [71][60/78] eta: 0:00:10 time: 0.5707 data_time: 0.4218 memory: 3561 2022/10/14 07:28:11 - mmengine - INFO - Epoch(val) [71][78/78] acc/top1: 0.6926 acc/top5: 0.8785 acc/mean1: 0.6925 2022/10/14 07:28:26 - mmengine - INFO - Epoch(train) [72][20/940] lr: 1.0000e-03 eta: 4:11:02 time: 0.7570 data_time: 0.2313 memory: 31836 grad_norm: 4.8068 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0394 loss: 1.0394 2022/10/14 07:28:37 - mmengine - INFO - Epoch(train) [72][40/940] lr: 1.0000e-03 eta: 4:10:51 time: 0.5559 data_time: 0.0253 memory: 31836 grad_norm: 4.8605 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9155 loss: 0.9155 2022/10/14 07:28:48 - mmengine - INFO - Epoch(train) [72][60/940] lr: 1.0000e-03 eta: 4:10:40 time: 0.5606 data_time: 0.0309 memory: 31836 grad_norm: 5.1408 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0290 loss: 1.0290 2022/10/14 07:28:59 - mmengine - INFO - Epoch(train) [72][80/940] lr: 1.0000e-03 eta: 4:10:29 time: 0.5497 data_time: 0.0259 memory: 31836 grad_norm: 4.9603 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8714 loss: 0.8714 2022/10/14 07:29:10 - mmengine - INFO - Epoch(train) [72][100/940] lr: 1.0000e-03 eta: 4:10:18 time: 0.5467 data_time: 0.0272 memory: 31836 grad_norm: 5.0535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/10/14 07:29:21 - mmengine - INFO - Epoch(train) [72][120/940] lr: 1.0000e-03 eta: 4:10:07 time: 0.5472 data_time: 0.0288 memory: 31836 grad_norm: 5.0367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9902 loss: 0.9902 2022/10/14 07:29:32 - mmengine - INFO - Epoch(train) [72][140/940] lr: 1.0000e-03 eta: 4:09:56 time: 0.5386 data_time: 0.0314 memory: 31836 grad_norm: 5.0421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9264 loss: 0.9264 2022/10/14 07:29:43 - mmengine - INFO - Epoch(train) [72][160/940] lr: 1.0000e-03 eta: 4:09:44 time: 0.5366 data_time: 0.0266 memory: 31836 grad_norm: 4.9812 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8927 loss: 0.8927 2022/10/14 07:29:54 - mmengine - INFO - Epoch(train) [72][180/940] lr: 1.0000e-03 eta: 4:09:33 time: 0.5469 data_time: 0.0254 memory: 31836 grad_norm: 5.1909 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0563 loss: 1.0563 2022/10/14 07:30:05 - mmengine - INFO - Epoch(train) [72][200/940] lr: 1.0000e-03 eta: 4:09:22 time: 0.5429 data_time: 0.0247 memory: 31836 grad_norm: 5.1340 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9603 loss: 0.9603 2022/10/14 07:30:15 - mmengine - INFO - Epoch(train) [72][220/940] lr: 1.0000e-03 eta: 4:09:11 time: 0.5414 data_time: 0.0329 memory: 31836 grad_norm: 5.1361 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9326 loss: 0.9326 2022/10/14 07:30:26 - mmengine - INFO - Epoch(train) [72][240/940] lr: 1.0000e-03 eta: 4:09:00 time: 0.5459 data_time: 0.0315 memory: 31836 grad_norm: 5.1260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9522 loss: 0.9522 2022/10/14 07:30:37 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:30:37 - mmengine - INFO - Epoch(train) [72][260/940] lr: 1.0000e-03 eta: 4:08:49 time: 0.5507 data_time: 0.0227 memory: 31836 grad_norm: 5.1905 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8694 loss: 0.8694 2022/10/14 07:30:48 - mmengine - INFO - Epoch(train) [72][280/940] lr: 1.0000e-03 eta: 4:08:38 time: 0.5367 data_time: 0.0271 memory: 31836 grad_norm: 4.9359 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/10/14 07:30:59 - mmengine - INFO - Epoch(train) [72][300/940] lr: 1.0000e-03 eta: 4:08:27 time: 0.5393 data_time: 0.0238 memory: 31836 grad_norm: 5.1035 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9857 loss: 0.9857 2022/10/14 07:31:10 - mmengine - INFO - Epoch(train) [72][320/940] lr: 1.0000e-03 eta: 4:08:15 time: 0.5403 data_time: 0.0246 memory: 31836 grad_norm: 5.1355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8893 loss: 0.8893 2022/10/14 07:31:20 - mmengine - INFO - Epoch(train) [72][340/940] lr: 1.0000e-03 eta: 4:08:04 time: 0.5438 data_time: 0.0271 memory: 31836 grad_norm: 5.0411 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 1.1348 loss: 1.1348 2022/10/14 07:31:31 - mmengine - INFO - Epoch(train) [72][360/940] lr: 1.0000e-03 eta: 4:07:53 time: 0.5476 data_time: 0.0260 memory: 31836 grad_norm: 4.9080 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9536 loss: 0.9536 2022/10/14 07:31:42 - mmengine - INFO - Epoch(train) [72][380/940] lr: 1.0000e-03 eta: 4:07:42 time: 0.5472 data_time: 0.0286 memory: 31836 grad_norm: 5.1613 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0236 loss: 1.0236 2022/10/14 07:31:53 - mmengine - INFO - Epoch(train) [72][400/940] lr: 1.0000e-03 eta: 4:07:31 time: 0.5551 data_time: 0.0354 memory: 31836 grad_norm: 5.1178 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8460 loss: 0.8460 2022/10/14 07:32:04 - mmengine - INFO - Epoch(train) [72][420/940] lr: 1.0000e-03 eta: 4:07:20 time: 0.5450 data_time: 0.0252 memory: 31836 grad_norm: 5.0402 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9096 loss: 0.9096 2022/10/14 07:32:15 - mmengine - INFO - Epoch(train) [72][440/940] lr: 1.0000e-03 eta: 4:07:09 time: 0.5390 data_time: 0.0238 memory: 31836 grad_norm: 5.1351 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9595 loss: 0.9595 2022/10/14 07:32:26 - mmengine - INFO - Epoch(train) [72][460/940] lr: 1.0000e-03 eta: 4:06:58 time: 0.5370 data_time: 0.0269 memory: 31836 grad_norm: 4.9886 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9662 loss: 0.9662 2022/10/14 07:32:37 - mmengine - INFO - Epoch(train) [72][480/940] lr: 1.0000e-03 eta: 4:06:46 time: 0.5424 data_time: 0.0246 memory: 31836 grad_norm: 5.0958 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9754 loss: 0.9754 2022/10/14 07:32:48 - mmengine - INFO - Epoch(train) [72][500/940] lr: 1.0000e-03 eta: 4:06:35 time: 0.5515 data_time: 0.0278 memory: 31836 grad_norm: 4.9830 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9199 loss: 0.9199 2022/10/14 07:32:59 - mmengine - INFO - Epoch(train) [72][520/940] lr: 1.0000e-03 eta: 4:06:24 time: 0.5476 data_time: 0.0266 memory: 31836 grad_norm: 5.2057 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9607 loss: 0.9607 2022/10/14 07:33:10 - mmengine - INFO - Epoch(train) [72][540/940] lr: 1.0000e-03 eta: 4:06:13 time: 0.5399 data_time: 0.0266 memory: 31836 grad_norm: 5.0400 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9890 loss: 0.9890 2022/10/14 07:33:21 - mmengine - INFO - Epoch(train) [72][560/940] lr: 1.0000e-03 eta: 4:06:02 time: 0.5514 data_time: 0.0293 memory: 31836 grad_norm: 5.0923 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9050 loss: 0.9050 2022/10/14 07:33:31 - mmengine - INFO - Epoch(train) [72][580/940] lr: 1.0000e-03 eta: 4:05:51 time: 0.5371 data_time: 0.0278 memory: 31836 grad_norm: 5.1438 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9419 loss: 0.9419 2022/10/14 07:33:42 - mmengine - INFO - Epoch(train) [72][600/940] lr: 1.0000e-03 eta: 4:05:40 time: 0.5418 data_time: 0.0238 memory: 31836 grad_norm: 4.9816 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0058 loss: 1.0058 2022/10/14 07:33:53 - mmengine - INFO - Epoch(train) [72][620/940] lr: 1.0000e-03 eta: 4:05:28 time: 0.5384 data_time: 0.0310 memory: 31836 grad_norm: 5.0856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9903 loss: 0.9903 2022/10/14 07:34:04 - mmengine - INFO - Epoch(train) [72][640/940] lr: 1.0000e-03 eta: 4:05:17 time: 0.5410 data_time: 0.0285 memory: 31836 grad_norm: 5.1140 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8329 loss: 0.8329 2022/10/14 07:34:15 - mmengine - INFO - Epoch(train) [72][660/940] lr: 1.0000e-03 eta: 4:05:06 time: 0.5452 data_time: 0.0249 memory: 31836 grad_norm: 5.1935 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8472 loss: 0.8472 2022/10/14 07:34:26 - mmengine - INFO - Epoch(train) [72][680/940] lr: 1.0000e-03 eta: 4:04:55 time: 0.5445 data_time: 0.0255 memory: 31836 grad_norm: 5.0727 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8119 loss: 0.8119 2022/10/14 07:34:36 - mmengine - INFO - Epoch(train) [72][700/940] lr: 1.0000e-03 eta: 4:04:44 time: 0.5431 data_time: 0.0269 memory: 31836 grad_norm: 5.0868 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8799 loss: 0.8799 2022/10/14 07:34:47 - mmengine - INFO - Epoch(train) [72][720/940] lr: 1.0000e-03 eta: 4:04:33 time: 0.5464 data_time: 0.0247 memory: 31836 grad_norm: 5.0049 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9061 loss: 0.9061 2022/10/14 07:34:58 - mmengine - INFO - Epoch(train) [72][740/940] lr: 1.0000e-03 eta: 4:04:22 time: 0.5445 data_time: 0.0229 memory: 31836 grad_norm: 5.1319 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9703 loss: 0.9703 2022/10/14 07:35:09 - mmengine - INFO - Epoch(train) [72][760/940] lr: 1.0000e-03 eta: 4:04:11 time: 0.5437 data_time: 0.0290 memory: 31836 grad_norm: 5.0482 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9221 loss: 0.9221 2022/10/14 07:35:20 - mmengine - INFO - Epoch(train) [72][780/940] lr: 1.0000e-03 eta: 4:03:59 time: 0.5458 data_time: 0.0323 memory: 31836 grad_norm: 4.9913 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8663 loss: 0.8663 2022/10/14 07:35:31 - mmengine - INFO - Epoch(train) [72][800/940] lr: 1.0000e-03 eta: 4:03:48 time: 0.5469 data_time: 0.0280 memory: 31836 grad_norm: 5.0545 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9298 loss: 0.9298 2022/10/14 07:35:42 - mmengine - INFO - Epoch(train) [72][820/940] lr: 1.0000e-03 eta: 4:03:37 time: 0.5409 data_time: 0.0244 memory: 31836 grad_norm: 5.1253 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0203 loss: 1.0203 2022/10/14 07:35:53 - mmengine - INFO - Epoch(train) [72][840/940] lr: 1.0000e-03 eta: 4:03:26 time: 0.5471 data_time: 0.0287 memory: 31836 grad_norm: 4.9518 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0283 loss: 1.0283 2022/10/14 07:36:04 - mmengine - INFO - Epoch(train) [72][860/940] lr: 1.0000e-03 eta: 4:03:15 time: 0.5447 data_time: 0.0248 memory: 31836 grad_norm: 5.1245 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0194 loss: 1.0194 2022/10/14 07:36:14 - mmengine - INFO - Epoch(train) [72][880/940] lr: 1.0000e-03 eta: 4:03:04 time: 0.5420 data_time: 0.0253 memory: 31836 grad_norm: 5.1767 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0406 loss: 1.0406 2022/10/14 07:36:25 - mmengine - INFO - Epoch(train) [72][900/940] lr: 1.0000e-03 eta: 4:02:53 time: 0.5431 data_time: 0.0258 memory: 31836 grad_norm: 4.9131 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9945 loss: 0.9945 2022/10/14 07:36:36 - mmengine - INFO - Epoch(train) [72][920/940] lr: 1.0000e-03 eta: 4:02:42 time: 0.5442 data_time: 0.0255 memory: 31836 grad_norm: 5.0567 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/10/14 07:36:47 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:36:47 - mmengine - INFO - Epoch(train) [72][940/940] lr: 1.0000e-03 eta: 4:02:30 time: 0.5147 data_time: 0.0264 memory: 31836 grad_norm: 5.5148 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.9570 loss: 0.9570 2022/10/14 07:36:47 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/10/14 07:37:00 - mmengine - INFO - Epoch(val) [72][20/78] eta: 0:00:36 time: 0.6268 data_time: 0.4791 memory: 3561 2022/10/14 07:37:10 - mmengine - INFO - Epoch(val) [72][40/78] eta: 0:00:17 time: 0.4535 data_time: 0.3057 memory: 3561 2022/10/14 07:37:21 - mmengine - INFO - Epoch(val) [72][60/78] eta: 0:00:09 time: 0.5492 data_time: 0.4009 memory: 3561 2022/10/14 07:37:29 - mmengine - INFO - Epoch(val) [72][78/78] acc/top1: 0.6927 acc/top5: 0.8811 acc/mean1: 0.6926 2022/10/14 07:37:45 - mmengine - INFO - Epoch(train) [73][20/940] lr: 1.0000e-03 eta: 4:02:21 time: 0.7622 data_time: 0.1901 memory: 31836 grad_norm: 5.0369 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/10/14 07:37:56 - mmengine - INFO - Epoch(train) [73][40/940] lr: 1.0000e-03 eta: 4:02:10 time: 0.5532 data_time: 0.0331 memory: 31836 grad_norm: 5.0306 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9414 loss: 0.9414 2022/10/14 07:38:07 - mmengine - INFO - Epoch(train) [73][60/940] lr: 1.0000e-03 eta: 4:01:59 time: 0.5558 data_time: 0.0278 memory: 31836 grad_norm: 5.0552 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0011 loss: 1.0011 2022/10/14 07:38:18 - mmengine - INFO - Epoch(train) [73][80/940] lr: 1.0000e-03 eta: 4:01:48 time: 0.5461 data_time: 0.0302 memory: 31836 grad_norm: 5.1624 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8986 loss: 0.8986 2022/10/14 07:38:29 - mmengine - INFO - Epoch(train) [73][100/940] lr: 1.0000e-03 eta: 4:01:36 time: 0.5451 data_time: 0.0277 memory: 31836 grad_norm: 5.0275 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9032 loss: 0.9032 2022/10/14 07:38:40 - mmengine - INFO - Epoch(train) [73][120/940] lr: 1.0000e-03 eta: 4:01:25 time: 0.5472 data_time: 0.0249 memory: 31836 grad_norm: 5.1003 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/10/14 07:38:51 - mmengine - INFO - Epoch(train) [73][140/940] lr: 1.0000e-03 eta: 4:01:14 time: 0.5419 data_time: 0.0310 memory: 31836 grad_norm: 4.9589 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9334 loss: 0.9334 2022/10/14 07:39:01 - mmengine - INFO - Epoch(train) [73][160/940] lr: 1.0000e-03 eta: 4:01:03 time: 0.5442 data_time: 0.0239 memory: 31836 grad_norm: 5.1303 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9980 loss: 0.9980 2022/10/14 07:39:12 - mmengine - INFO - Epoch(train) [73][180/940] lr: 1.0000e-03 eta: 4:00:52 time: 0.5434 data_time: 0.0268 memory: 31836 grad_norm: 5.1459 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8775 loss: 0.8775 2022/10/14 07:39:23 - mmengine - INFO - Epoch(train) [73][200/940] lr: 1.0000e-03 eta: 4:00:41 time: 0.5431 data_time: 0.0365 memory: 31836 grad_norm: 5.1498 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9865 loss: 0.9865 2022/10/14 07:39:34 - mmengine - INFO - Epoch(train) [73][220/940] lr: 1.0000e-03 eta: 4:00:30 time: 0.5399 data_time: 0.0274 memory: 31836 grad_norm: 5.0403 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9531 loss: 0.9531 2022/10/14 07:39:45 - mmengine - INFO - Epoch(train) [73][240/940] lr: 1.0000e-03 eta: 4:00:19 time: 0.5411 data_time: 0.0277 memory: 31836 grad_norm: 5.1927 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0743 loss: 1.0743 2022/10/14 07:39:56 - mmengine - INFO - Epoch(train) [73][260/940] lr: 1.0000e-03 eta: 4:00:07 time: 0.5385 data_time: 0.0245 memory: 31836 grad_norm: 5.0642 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8927 loss: 0.8927 2022/10/14 07:40:06 - mmengine - INFO - Epoch(train) [73][280/940] lr: 1.0000e-03 eta: 3:59:56 time: 0.5439 data_time: 0.0255 memory: 31836 grad_norm: 5.0878 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0121 loss: 1.0121 2022/10/14 07:40:17 - mmengine - INFO - Epoch(train) [73][300/940] lr: 1.0000e-03 eta: 3:59:45 time: 0.5432 data_time: 0.0268 memory: 31836 grad_norm: 5.1424 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8996 loss: 0.8996 2022/10/14 07:40:28 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:40:28 - mmengine - INFO - Epoch(train) [73][320/940] lr: 1.0000e-03 eta: 3:59:34 time: 0.5385 data_time: 0.0286 memory: 31836 grad_norm: 4.9532 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0893 loss: 1.0893 2022/10/14 07:40:39 - mmengine - INFO - Epoch(train) [73][340/940] lr: 1.0000e-03 eta: 3:59:23 time: 0.5442 data_time: 0.0233 memory: 31836 grad_norm: 5.0377 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9761 loss: 0.9761 2022/10/14 07:40:50 - mmengine - INFO - Epoch(train) [73][360/940] lr: 1.0000e-03 eta: 3:59:12 time: 0.5442 data_time: 0.0250 memory: 31836 grad_norm: 4.8641 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8423 loss: 0.8423 2022/10/14 07:41:01 - mmengine - INFO - Epoch(train) [73][380/940] lr: 1.0000e-03 eta: 3:59:01 time: 0.5442 data_time: 0.0302 memory: 31836 grad_norm: 5.0032 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/10/14 07:41:12 - mmengine - INFO - Epoch(train) [73][400/940] lr: 1.0000e-03 eta: 3:58:49 time: 0.5485 data_time: 0.0245 memory: 31836 grad_norm: 5.0494 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8393 loss: 0.8393 2022/10/14 07:41:23 - mmengine - INFO - Epoch(train) [73][420/940] lr: 1.0000e-03 eta: 3:58:38 time: 0.5424 data_time: 0.0263 memory: 31836 grad_norm: 5.0720 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8932 loss: 0.8932 2022/10/14 07:41:33 - mmengine - INFO - Epoch(train) [73][440/940] lr: 1.0000e-03 eta: 3:58:27 time: 0.5436 data_time: 0.0313 memory: 31836 grad_norm: 4.9521 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9364 loss: 0.9364 2022/10/14 07:41:44 - mmengine - INFO - Epoch(train) [73][460/940] lr: 1.0000e-03 eta: 3:58:16 time: 0.5400 data_time: 0.0237 memory: 31836 grad_norm: 5.0126 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9673 loss: 0.9673 2022/10/14 07:41:55 - mmengine - INFO - Epoch(train) [73][480/940] lr: 1.0000e-03 eta: 3:58:05 time: 0.5430 data_time: 0.0316 memory: 31836 grad_norm: 5.0549 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9182 loss: 0.9182 2022/10/14 07:42:06 - mmengine - INFO - Epoch(train) [73][500/940] lr: 1.0000e-03 eta: 3:57:54 time: 0.5391 data_time: 0.0257 memory: 31836 grad_norm: 5.0396 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8921 loss: 0.8921 2022/10/14 07:42:17 - mmengine - INFO - Epoch(train) [73][520/940] lr: 1.0000e-03 eta: 3:57:43 time: 0.5408 data_time: 0.0245 memory: 31836 grad_norm: 5.1615 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/10/14 07:42:27 - mmengine - INFO - Epoch(train) [73][540/940] lr: 1.0000e-03 eta: 3:57:31 time: 0.5406 data_time: 0.0284 memory: 31836 grad_norm: 5.0183 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9630 loss: 0.9630 2022/10/14 07:42:39 - mmengine - INFO - Epoch(train) [73][560/940] lr: 1.0000e-03 eta: 3:57:21 time: 0.5802 data_time: 0.0262 memory: 31836 grad_norm: 5.0633 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9965 loss: 0.9965 2022/10/14 07:42:50 - mmengine - INFO - Epoch(train) [73][580/940] lr: 1.0000e-03 eta: 3:57:10 time: 0.5511 data_time: 0.0294 memory: 31836 grad_norm: 5.1930 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0245 loss: 1.0245 2022/10/14 07:43:01 - mmengine - INFO - Epoch(train) [73][600/940] lr: 1.0000e-03 eta: 3:56:59 time: 0.5575 data_time: 0.0311 memory: 31836 grad_norm: 5.0677 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0316 loss: 1.0316 2022/10/14 07:43:12 - mmengine - INFO - Epoch(train) [73][620/940] lr: 1.0000e-03 eta: 3:56:47 time: 0.5442 data_time: 0.0266 memory: 31836 grad_norm: 5.1298 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1144 loss: 1.1144 2022/10/14 07:43:23 - mmengine - INFO - Epoch(train) [73][640/940] lr: 1.0000e-03 eta: 3:56:36 time: 0.5397 data_time: 0.0296 memory: 31836 grad_norm: 5.1165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0104 loss: 1.0104 2022/10/14 07:43:34 - mmengine - INFO - Epoch(train) [73][660/940] lr: 1.0000e-03 eta: 3:56:25 time: 0.5469 data_time: 0.0309 memory: 31836 grad_norm: 4.8779 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9201 loss: 0.9201 2022/10/14 07:43:45 - mmengine - INFO - Epoch(train) [73][680/940] lr: 1.0000e-03 eta: 3:56:14 time: 0.5423 data_time: 0.0296 memory: 31836 grad_norm: 5.1600 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1157 loss: 1.1157 2022/10/14 07:43:56 - mmengine - INFO - Epoch(train) [73][700/940] lr: 1.0000e-03 eta: 3:56:03 time: 0.5448 data_time: 0.0283 memory: 31836 grad_norm: 5.0838 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8836 loss: 0.8836 2022/10/14 07:44:07 - mmengine - INFO - Epoch(train) [73][720/940] lr: 1.0000e-03 eta: 3:55:52 time: 0.5434 data_time: 0.0326 memory: 31836 grad_norm: 5.0008 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9235 loss: 0.9235 2022/10/14 07:44:17 - mmengine - INFO - Epoch(train) [73][740/940] lr: 1.0000e-03 eta: 3:55:41 time: 0.5434 data_time: 0.0225 memory: 31836 grad_norm: 5.1380 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8915 loss: 0.8915 2022/10/14 07:44:28 - mmengine - INFO - Epoch(train) [73][760/940] lr: 1.0000e-03 eta: 3:55:30 time: 0.5441 data_time: 0.0264 memory: 31836 grad_norm: 5.1104 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9098 loss: 0.9098 2022/10/14 07:44:39 - mmengine - INFO - Epoch(train) [73][780/940] lr: 1.0000e-03 eta: 3:55:18 time: 0.5443 data_time: 0.0258 memory: 31836 grad_norm: 5.1476 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9822 loss: 0.9822 2022/10/14 07:44:50 - mmengine - INFO - Epoch(train) [73][800/940] lr: 1.0000e-03 eta: 3:55:07 time: 0.5431 data_time: 0.0284 memory: 31836 grad_norm: 5.1577 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0174 loss: 1.0174 2022/10/14 07:45:01 - mmengine - INFO - Epoch(train) [73][820/940] lr: 1.0000e-03 eta: 3:54:56 time: 0.5395 data_time: 0.0219 memory: 31836 grad_norm: 5.0910 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8908 loss: 0.8908 2022/10/14 07:45:12 - mmengine - INFO - Epoch(train) [73][840/940] lr: 1.0000e-03 eta: 3:54:45 time: 0.5458 data_time: 0.0255 memory: 31836 grad_norm: 5.1219 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9481 loss: 0.9481 2022/10/14 07:45:23 - mmengine - INFO - Epoch(train) [73][860/940] lr: 1.0000e-03 eta: 3:54:34 time: 0.5479 data_time: 0.0276 memory: 31836 grad_norm: 5.1243 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9751 loss: 0.9751 2022/10/14 07:45:34 - mmengine - INFO - Epoch(train) [73][880/940] lr: 1.0000e-03 eta: 3:54:23 time: 0.5445 data_time: 0.0243 memory: 31836 grad_norm: 5.0186 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0046 loss: 1.0046 2022/10/14 07:45:44 - mmengine - INFO - Epoch(train) [73][900/940] lr: 1.0000e-03 eta: 3:54:12 time: 0.5397 data_time: 0.0270 memory: 31836 grad_norm: 5.0659 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9940 loss: 0.9940 2022/10/14 07:45:55 - mmengine - INFO - Epoch(train) [73][920/940] lr: 1.0000e-03 eta: 3:54:01 time: 0.5485 data_time: 0.0238 memory: 31836 grad_norm: 5.0646 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9701 loss: 0.9701 2022/10/14 07:46:06 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:46:06 - mmengine - INFO - Epoch(train) [73][940/940] lr: 1.0000e-03 eta: 3:53:49 time: 0.5082 data_time: 0.0218 memory: 31836 grad_norm: 5.3640 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9130 loss: 0.9130 2022/10/14 07:46:18 - mmengine - INFO - Epoch(val) [73][20/78] eta: 0:00:35 time: 0.6047 data_time: 0.4523 memory: 3561 2022/10/14 07:46:27 - mmengine - INFO - Epoch(val) [73][40/78] eta: 0:00:16 time: 0.4452 data_time: 0.2953 memory: 3561 2022/10/14 07:46:38 - mmengine - INFO - Epoch(val) [73][60/78] eta: 0:00:09 time: 0.5506 data_time: 0.4008 memory: 3561 2022/10/14 07:46:48 - mmengine - INFO - Epoch(val) [73][78/78] acc/top1: 0.6923 acc/top5: 0.8796 acc/mean1: 0.6922 2022/10/14 07:47:03 - mmengine - INFO - Epoch(train) [74][20/940] lr: 1.0000e-03 eta: 3:53:40 time: 0.7576 data_time: 0.2142 memory: 31836 grad_norm: 5.0468 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9853 loss: 0.9853 2022/10/14 07:47:14 - mmengine - INFO - Epoch(train) [74][40/940] lr: 1.0000e-03 eta: 3:53:29 time: 0.5449 data_time: 0.0266 memory: 31836 grad_norm: 5.0300 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9492 loss: 0.9492 2022/10/14 07:47:25 - mmengine - INFO - Epoch(train) [74][60/940] lr: 1.0000e-03 eta: 3:53:18 time: 0.5563 data_time: 0.0281 memory: 31836 grad_norm: 5.0531 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0317 loss: 1.0317 2022/10/14 07:47:37 - mmengine - INFO - Epoch(train) [74][80/940] lr: 1.0000e-03 eta: 3:53:06 time: 0.5503 data_time: 0.0262 memory: 31836 grad_norm: 5.1601 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9780 loss: 0.9780 2022/10/14 07:47:47 - mmengine - INFO - Epoch(train) [74][100/940] lr: 1.0000e-03 eta: 3:52:55 time: 0.5455 data_time: 0.0290 memory: 31836 grad_norm: 5.0164 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9371 loss: 0.9371 2022/10/14 07:47:58 - mmengine - INFO - Epoch(train) [74][120/940] lr: 1.0000e-03 eta: 3:52:44 time: 0.5437 data_time: 0.0264 memory: 31836 grad_norm: 4.9774 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8958 loss: 0.8958 2022/10/14 07:48:09 - mmengine - INFO - Epoch(train) [74][140/940] lr: 1.0000e-03 eta: 3:52:33 time: 0.5434 data_time: 0.0271 memory: 31836 grad_norm: 5.1546 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8479 loss: 0.8479 2022/10/14 07:48:20 - mmengine - INFO - Epoch(train) [74][160/940] lr: 1.0000e-03 eta: 3:52:22 time: 0.5398 data_time: 0.0261 memory: 31836 grad_norm: 5.0509 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9089 loss: 0.9089 2022/10/14 07:48:31 - mmengine - INFO - Epoch(train) [74][180/940] lr: 1.0000e-03 eta: 3:52:11 time: 0.5481 data_time: 0.0282 memory: 31836 grad_norm: 5.1148 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/10/14 07:48:42 - mmengine - INFO - Epoch(train) [74][200/940] lr: 1.0000e-03 eta: 3:52:00 time: 0.5383 data_time: 0.0233 memory: 31836 grad_norm: 4.9688 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8920 loss: 0.8920 2022/10/14 07:48:52 - mmengine - INFO - Epoch(train) [74][220/940] lr: 1.0000e-03 eta: 3:51:48 time: 0.5379 data_time: 0.0240 memory: 31836 grad_norm: 5.0853 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9018 loss: 0.9018 2022/10/14 07:49:03 - mmengine - INFO - Epoch(train) [74][240/940] lr: 1.0000e-03 eta: 3:51:37 time: 0.5520 data_time: 0.0286 memory: 31836 grad_norm: 5.1290 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9660 loss: 0.9660 2022/10/14 07:49:14 - mmengine - INFO - Epoch(train) [74][260/940] lr: 1.0000e-03 eta: 3:51:26 time: 0.5401 data_time: 0.0255 memory: 31836 grad_norm: 5.0391 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8253 loss: 0.8253 2022/10/14 07:49:25 - mmengine - INFO - Epoch(train) [74][280/940] lr: 1.0000e-03 eta: 3:51:15 time: 0.5501 data_time: 0.0226 memory: 31836 grad_norm: 5.0481 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0217 loss: 1.0217 2022/10/14 07:49:36 - mmengine - INFO - Epoch(train) [74][300/940] lr: 1.0000e-03 eta: 3:51:04 time: 0.5469 data_time: 0.0313 memory: 31836 grad_norm: 4.9843 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9197 loss: 0.9197 2022/10/14 07:49:47 - mmengine - INFO - Epoch(train) [74][320/940] lr: 1.0000e-03 eta: 3:50:53 time: 0.5419 data_time: 0.0331 memory: 31836 grad_norm: 5.2062 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9875 loss: 0.9875 2022/10/14 07:49:58 - mmengine - INFO - Epoch(train) [74][340/940] lr: 1.0000e-03 eta: 3:50:42 time: 0.5540 data_time: 0.0340 memory: 31836 grad_norm: 5.0268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7395 loss: 0.7395 2022/10/14 07:50:09 - mmengine - INFO - Epoch(train) [74][360/940] lr: 1.0000e-03 eta: 3:50:31 time: 0.5451 data_time: 0.0246 memory: 31836 grad_norm: 4.8709 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8104 loss: 0.8104 2022/10/14 07:50:20 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:50:20 - mmengine - INFO - Epoch(train) [74][380/940] lr: 1.0000e-03 eta: 3:50:20 time: 0.5411 data_time: 0.0278 memory: 31836 grad_norm: 5.1703 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0288 loss: 1.0288 2022/10/14 07:50:31 - mmengine - INFO - Epoch(train) [74][400/940] lr: 1.0000e-03 eta: 3:50:09 time: 0.5555 data_time: 0.0318 memory: 31836 grad_norm: 5.1567 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9311 loss: 0.9311 2022/10/14 07:50:42 - mmengine - INFO - Epoch(train) [74][420/940] lr: 1.0000e-03 eta: 3:49:57 time: 0.5375 data_time: 0.0247 memory: 31836 grad_norm: 5.1033 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9381 loss: 0.9381 2022/10/14 07:50:53 - mmengine - INFO - Epoch(train) [74][440/940] lr: 1.0000e-03 eta: 3:49:46 time: 0.5466 data_time: 0.0288 memory: 31836 grad_norm: 5.0637 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8751 loss: 0.8751 2022/10/14 07:51:04 - mmengine - INFO - Epoch(train) [74][460/940] lr: 1.0000e-03 eta: 3:49:35 time: 0.5463 data_time: 0.0239 memory: 31836 grad_norm: 5.1676 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9837 loss: 0.9837 2022/10/14 07:51:14 - mmengine - INFO - Epoch(train) [74][480/940] lr: 1.0000e-03 eta: 3:49:24 time: 0.5386 data_time: 0.0270 memory: 31836 grad_norm: 5.1544 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9343 loss: 0.9343 2022/10/14 07:51:25 - mmengine - INFO - Epoch(train) [74][500/940] lr: 1.0000e-03 eta: 3:49:13 time: 0.5480 data_time: 0.0244 memory: 31836 grad_norm: 5.0885 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0427 loss: 1.0427 2022/10/14 07:51:36 - mmengine - INFO - Epoch(train) [74][520/940] lr: 1.0000e-03 eta: 3:49:02 time: 0.5542 data_time: 0.0252 memory: 31836 grad_norm: 4.9867 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8767 loss: 0.8767 2022/10/14 07:51:47 - mmengine - INFO - Epoch(train) [74][540/940] lr: 1.0000e-03 eta: 3:48:51 time: 0.5457 data_time: 0.0258 memory: 31836 grad_norm: 5.0987 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/10/14 07:51:58 - mmengine - INFO - Epoch(train) [74][560/940] lr: 1.0000e-03 eta: 3:48:40 time: 0.5376 data_time: 0.0296 memory: 31836 grad_norm: 5.2934 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0215 loss: 1.0215 2022/10/14 07:52:09 - mmengine - INFO - Epoch(train) [74][580/940] lr: 1.0000e-03 eta: 3:48:29 time: 0.5415 data_time: 0.0258 memory: 31836 grad_norm: 5.0546 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9172 loss: 0.9172 2022/10/14 07:52:20 - mmengine - INFO - Epoch(train) [74][600/940] lr: 1.0000e-03 eta: 3:48:17 time: 0.5446 data_time: 0.0304 memory: 31836 grad_norm: 5.0473 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9760 loss: 0.9760 2022/10/14 07:52:31 - mmengine - INFO - Epoch(train) [74][620/940] lr: 1.0000e-03 eta: 3:48:06 time: 0.5398 data_time: 0.0275 memory: 31836 grad_norm: 5.1500 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0496 loss: 1.0496 2022/10/14 07:52:42 - mmengine - INFO - Epoch(train) [74][640/940] lr: 1.0000e-03 eta: 3:47:55 time: 0.5466 data_time: 0.0237 memory: 31836 grad_norm: 5.1320 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/10/14 07:52:52 - mmengine - INFO - Epoch(train) [74][660/940] lr: 1.0000e-03 eta: 3:47:44 time: 0.5388 data_time: 0.0256 memory: 31836 grad_norm: 4.9588 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9350 loss: 0.9350 2022/10/14 07:53:03 - mmengine - INFO - Epoch(train) [74][680/940] lr: 1.0000e-03 eta: 3:47:33 time: 0.5486 data_time: 0.0304 memory: 31836 grad_norm: 5.1212 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/10/14 07:53:14 - mmengine - INFO - Epoch(train) [74][700/940] lr: 1.0000e-03 eta: 3:47:22 time: 0.5461 data_time: 0.0284 memory: 31836 grad_norm: 5.0988 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8941 loss: 0.8941 2022/10/14 07:53:25 - mmengine - INFO - Epoch(train) [74][720/940] lr: 1.0000e-03 eta: 3:47:11 time: 0.5355 data_time: 0.0229 memory: 31836 grad_norm: 5.1298 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9570 loss: 0.9570 2022/10/14 07:53:36 - mmengine - INFO - Epoch(train) [74][740/940] lr: 1.0000e-03 eta: 3:47:00 time: 0.5394 data_time: 0.0273 memory: 31836 grad_norm: 5.1046 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9727 loss: 0.9727 2022/10/14 07:53:47 - mmengine - INFO - Epoch(train) [74][760/940] lr: 1.0000e-03 eta: 3:46:48 time: 0.5490 data_time: 0.0315 memory: 31836 grad_norm: 5.1683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/10/14 07:53:58 - mmengine - INFO - Epoch(train) [74][780/940] lr: 1.0000e-03 eta: 3:46:37 time: 0.5444 data_time: 0.0294 memory: 31836 grad_norm: 5.1644 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 0.9550 loss: 0.9550 2022/10/14 07:54:08 - mmengine - INFO - Epoch(train) [74][800/940] lr: 1.0000e-03 eta: 3:46:26 time: 0.5377 data_time: 0.0245 memory: 31836 grad_norm: 5.0636 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9482 loss: 0.9482 2022/10/14 07:54:19 - mmengine - INFO - Epoch(train) [74][820/940] lr: 1.0000e-03 eta: 3:46:15 time: 0.5396 data_time: 0.0288 memory: 31836 grad_norm: 5.1568 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9064 loss: 0.9064 2022/10/14 07:54:30 - mmengine - INFO - Epoch(train) [74][840/940] lr: 1.0000e-03 eta: 3:46:04 time: 0.5434 data_time: 0.0313 memory: 31836 grad_norm: 5.1608 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0816 loss: 1.0816 2022/10/14 07:54:41 - mmengine - INFO - Epoch(train) [74][860/940] lr: 1.0000e-03 eta: 3:45:53 time: 0.5430 data_time: 0.0235 memory: 31836 grad_norm: 5.0645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9830 loss: 0.9830 2022/10/14 07:54:52 - mmengine - INFO - Epoch(train) [74][880/940] lr: 1.0000e-03 eta: 3:45:42 time: 0.5411 data_time: 0.0265 memory: 31836 grad_norm: 5.0968 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/10/14 07:55:03 - mmengine - INFO - Epoch(train) [74][900/940] lr: 1.0000e-03 eta: 3:45:31 time: 0.5470 data_time: 0.0250 memory: 31836 grad_norm: 4.9528 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9831 loss: 0.9831 2022/10/14 07:55:14 - mmengine - INFO - Epoch(train) [74][920/940] lr: 1.0000e-03 eta: 3:45:19 time: 0.5418 data_time: 0.0280 memory: 31836 grad_norm: 5.2494 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9603 loss: 0.9603 2022/10/14 07:55:24 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 07:55:24 - mmengine - INFO - Epoch(train) [74][940/940] lr: 1.0000e-03 eta: 3:45:08 time: 0.5078 data_time: 0.0223 memory: 31836 grad_norm: 5.3234 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9645 loss: 0.9645 2022/10/14 07:55:36 - mmengine - INFO - Epoch(val) [74][20/78] eta: 0:00:36 time: 0.6219 data_time: 0.4706 memory: 3561 2022/10/14 07:55:45 - mmengine - INFO - Epoch(val) [74][40/78] eta: 0:00:16 time: 0.4432 data_time: 0.2933 memory: 3561 2022/10/14 07:55:56 - mmengine - INFO - Epoch(val) [74][60/78] eta: 0:00:09 time: 0.5422 data_time: 0.3907 memory: 3561 2022/10/14 07:56:06 - mmengine - INFO - Epoch(val) [74][78/78] acc/top1: 0.6913 acc/top5: 0.8809 acc/mean1: 0.6912 2022/10/14 07:56:21 - mmengine - INFO - Epoch(train) [75][20/940] lr: 1.0000e-03 eta: 3:44:58 time: 0.7564 data_time: 0.2125 memory: 31836 grad_norm: 5.0581 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9247 loss: 0.9247 2022/10/14 07:56:32 - mmengine - INFO - Epoch(train) [75][40/940] lr: 1.0000e-03 eta: 3:44:47 time: 0.5498 data_time: 0.0255 memory: 31836 grad_norm: 5.1315 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9180 loss: 0.9180 2022/10/14 07:56:43 - mmengine - INFO - Epoch(train) [75][60/940] lr: 1.0000e-03 eta: 3:44:36 time: 0.5538 data_time: 0.0296 memory: 31836 grad_norm: 5.0957 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9986 loss: 0.9986 2022/10/14 07:56:54 - mmengine - INFO - Epoch(train) [75][80/940] lr: 1.0000e-03 eta: 3:44:25 time: 0.5509 data_time: 0.0252 memory: 31836 grad_norm: 5.1117 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/10/14 07:57:05 - mmengine - INFO - Epoch(train) [75][100/940] lr: 1.0000e-03 eta: 3:44:14 time: 0.5564 data_time: 0.0333 memory: 31836 grad_norm: 5.0371 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8369 loss: 0.8369 2022/10/14 07:57:16 - mmengine - INFO - Epoch(train) [75][120/940] lr: 1.0000e-03 eta: 3:44:03 time: 0.5502 data_time: 0.0282 memory: 31836 grad_norm: 5.2148 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9296 loss: 0.9296 2022/10/14 07:57:27 - mmengine - INFO - Epoch(train) [75][140/940] lr: 1.0000e-03 eta: 3:43:52 time: 0.5446 data_time: 0.0266 memory: 31836 grad_norm: 5.1763 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9513 loss: 0.9513 2022/10/14 07:57:38 - mmengine - INFO - Epoch(train) [75][160/940] lr: 1.0000e-03 eta: 3:43:41 time: 0.5493 data_time: 0.0268 memory: 31836 grad_norm: 4.9663 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9203 loss: 0.9203 2022/10/14 07:57:49 - mmengine - INFO - Epoch(train) [75][180/940] lr: 1.0000e-03 eta: 3:43:30 time: 0.5466 data_time: 0.0283 memory: 31836 grad_norm: 5.1501 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0222 loss: 1.0222 2022/10/14 07:58:00 - mmengine - INFO - Epoch(train) [75][200/940] lr: 1.0000e-03 eta: 3:43:19 time: 0.5368 data_time: 0.0230 memory: 31836 grad_norm: 5.1839 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9426 loss: 0.9426 2022/10/14 07:58:11 - mmengine - INFO - Epoch(train) [75][220/940] lr: 1.0000e-03 eta: 3:43:08 time: 0.5518 data_time: 0.0251 memory: 31836 grad_norm: 4.9837 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8646 loss: 0.8646 2022/10/14 07:58:22 - mmengine - INFO - Epoch(train) [75][240/940] lr: 1.0000e-03 eta: 3:42:56 time: 0.5458 data_time: 0.0252 memory: 31836 grad_norm: 5.0139 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9261 loss: 0.9261 2022/10/14 07:58:33 - mmengine - INFO - Epoch(train) [75][260/940] lr: 1.0000e-03 eta: 3:42:45 time: 0.5398 data_time: 0.0305 memory: 31836 grad_norm: 5.0650 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8617 loss: 0.8617 2022/10/14 07:58:43 - mmengine - INFO - Epoch(train) [75][280/940] lr: 1.0000e-03 eta: 3:42:34 time: 0.5424 data_time: 0.0259 memory: 31836 grad_norm: 5.2099 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9504 loss: 0.9504 2022/10/14 07:58:54 - mmengine - INFO - Epoch(train) [75][300/940] lr: 1.0000e-03 eta: 3:42:23 time: 0.5517 data_time: 0.0306 memory: 31836 grad_norm: 5.2450 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/10/14 07:59:05 - mmengine - INFO - Epoch(train) [75][320/940] lr: 1.0000e-03 eta: 3:42:12 time: 0.5428 data_time: 0.0311 memory: 31836 grad_norm: 5.0811 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9020 loss: 0.9020 2022/10/14 07:59:16 - mmengine - INFO - Epoch(train) [75][340/940] lr: 1.0000e-03 eta: 3:42:01 time: 0.5437 data_time: 0.0288 memory: 31836 grad_norm: 5.1550 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1519 loss: 1.1519 2022/10/14 07:59:27 - mmengine - INFO - Epoch(train) [75][360/940] lr: 1.0000e-03 eta: 3:41:50 time: 0.5450 data_time: 0.0289 memory: 31836 grad_norm: 5.1220 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9390 loss: 0.9390 2022/10/14 07:59:38 - mmengine - INFO - Epoch(train) [75][380/940] lr: 1.0000e-03 eta: 3:41:39 time: 0.5439 data_time: 0.0259 memory: 31836 grad_norm: 5.2104 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9677 loss: 0.9677 2022/10/14 07:59:49 - mmengine - INFO - Epoch(train) [75][400/940] lr: 1.0000e-03 eta: 3:41:28 time: 0.5519 data_time: 0.0273 memory: 31836 grad_norm: 5.0811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9704 loss: 0.9704 2022/10/14 08:00:00 - mmengine - INFO - Epoch(train) [75][420/940] lr: 1.0000e-03 eta: 3:41:17 time: 0.5453 data_time: 0.0232 memory: 31836 grad_norm: 5.0567 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9222 loss: 0.9222 2022/10/14 08:00:11 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:00:11 - mmengine - INFO - Epoch(train) [75][440/940] lr: 1.0000e-03 eta: 3:41:05 time: 0.5488 data_time: 0.0307 memory: 31836 grad_norm: 5.1885 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 0.9035 loss: 0.9035 2022/10/14 08:00:22 - mmengine - INFO - Epoch(train) [75][460/940] lr: 1.0000e-03 eta: 3:40:54 time: 0.5399 data_time: 0.0291 memory: 31836 grad_norm: 5.1013 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0155 loss: 1.0155 2022/10/14 08:00:33 - mmengine - INFO - Epoch(train) [75][480/940] lr: 1.0000e-03 eta: 3:40:43 time: 0.5440 data_time: 0.0322 memory: 31836 grad_norm: 5.0925 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9706 loss: 0.9706 2022/10/14 08:00:43 - mmengine - INFO - Epoch(train) [75][500/940] lr: 1.0000e-03 eta: 3:40:32 time: 0.5407 data_time: 0.0317 memory: 31836 grad_norm: 5.2989 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/10/14 08:00:54 - mmengine - INFO - Epoch(train) [75][520/940] lr: 1.0000e-03 eta: 3:40:21 time: 0.5409 data_time: 0.0270 memory: 31836 grad_norm: 5.0882 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9599 loss: 0.9599 2022/10/14 08:01:05 - mmengine - INFO - Epoch(train) [75][540/940] lr: 1.0000e-03 eta: 3:40:10 time: 0.5483 data_time: 0.0284 memory: 31836 grad_norm: 5.1127 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9199 loss: 0.9199 2022/10/14 08:01:16 - mmengine - INFO - Epoch(train) [75][560/940] lr: 1.0000e-03 eta: 3:39:59 time: 0.5453 data_time: 0.0259 memory: 31836 grad_norm: 5.0968 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9276 loss: 0.9276 2022/10/14 08:01:27 - mmengine - INFO - Epoch(train) [75][580/940] lr: 1.0000e-03 eta: 3:39:48 time: 0.5445 data_time: 0.0299 memory: 31836 grad_norm: 5.0974 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9099 loss: 0.9099 2022/10/14 08:01:38 - mmengine - INFO - Epoch(train) [75][600/940] lr: 1.0000e-03 eta: 3:39:36 time: 0.5403 data_time: 0.0306 memory: 31836 grad_norm: 5.2719 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0936 loss: 1.0936 2022/10/14 08:01:49 - mmengine - INFO - Epoch(train) [75][620/940] lr: 1.0000e-03 eta: 3:39:25 time: 0.5489 data_time: 0.0272 memory: 31836 grad_norm: 4.9433 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9574 loss: 0.9574 2022/10/14 08:02:00 - mmengine - INFO - Epoch(train) [75][640/940] lr: 1.0000e-03 eta: 3:39:14 time: 0.5468 data_time: 0.0265 memory: 31836 grad_norm: 5.2295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9833 loss: 0.9833 2022/10/14 08:02:11 - mmengine - INFO - Epoch(train) [75][660/940] lr: 1.0000e-03 eta: 3:39:03 time: 0.5445 data_time: 0.0305 memory: 31836 grad_norm: 5.1206 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9799 loss: 0.9799 2022/10/14 08:02:21 - mmengine - INFO - Epoch(train) [75][680/940] lr: 1.0000e-03 eta: 3:38:52 time: 0.5415 data_time: 0.0228 memory: 31836 grad_norm: 5.1864 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0089 loss: 1.0089 2022/10/14 08:02:32 - mmengine - INFO - Epoch(train) [75][700/940] lr: 1.0000e-03 eta: 3:38:41 time: 0.5464 data_time: 0.0297 memory: 31836 grad_norm: 5.1044 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9273 loss: 0.9273 2022/10/14 08:02:43 - mmengine - INFO - Epoch(train) [75][720/940] lr: 1.0000e-03 eta: 3:38:30 time: 0.5460 data_time: 0.0309 memory: 31836 grad_norm: 5.0351 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8991 loss: 0.8991 2022/10/14 08:02:54 - mmengine - INFO - Epoch(train) [75][740/940] lr: 1.0000e-03 eta: 3:38:19 time: 0.5483 data_time: 0.0277 memory: 31836 grad_norm: 5.2160 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9731 loss: 0.9731 2022/10/14 08:03:05 - mmengine - INFO - Epoch(train) [75][760/940] lr: 1.0000e-03 eta: 3:38:08 time: 0.5406 data_time: 0.0242 memory: 31836 grad_norm: 5.2132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9423 loss: 0.9423 2022/10/14 08:03:16 - mmengine - INFO - Epoch(train) [75][780/940] lr: 1.0000e-03 eta: 3:37:57 time: 0.5537 data_time: 0.0238 memory: 31836 grad_norm: 5.2223 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9040 loss: 0.9040 2022/10/14 08:03:28 - mmengine - INFO - Epoch(train) [75][800/940] lr: 1.0000e-03 eta: 3:37:46 time: 0.5654 data_time: 0.0241 memory: 31836 grad_norm: 5.1372 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9584 loss: 0.9584 2022/10/14 08:03:38 - mmengine - INFO - Epoch(train) [75][820/940] lr: 1.0000e-03 eta: 3:37:35 time: 0.5471 data_time: 0.0267 memory: 31836 grad_norm: 5.0537 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9599 loss: 0.9599 2022/10/14 08:03:49 - mmengine - INFO - Epoch(train) [75][840/940] lr: 1.0000e-03 eta: 3:37:23 time: 0.5463 data_time: 0.0252 memory: 31836 grad_norm: 5.1666 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8906 loss: 0.8906 2022/10/14 08:04:00 - mmengine - INFO - Epoch(train) [75][860/940] lr: 1.0000e-03 eta: 3:37:12 time: 0.5395 data_time: 0.0276 memory: 31836 grad_norm: 4.9740 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9369 loss: 0.9369 2022/10/14 08:04:11 - mmengine - INFO - Epoch(train) [75][880/940] lr: 1.0000e-03 eta: 3:37:01 time: 0.5418 data_time: 0.0259 memory: 31836 grad_norm: 5.0179 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9211 loss: 0.9211 2022/10/14 08:04:22 - mmengine - INFO - Epoch(train) [75][900/940] lr: 1.0000e-03 eta: 3:36:50 time: 0.5443 data_time: 0.0288 memory: 31836 grad_norm: 5.2209 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9168 loss: 0.9168 2022/10/14 08:04:33 - mmengine - INFO - Epoch(train) [75][920/940] lr: 1.0000e-03 eta: 3:36:39 time: 0.5495 data_time: 0.0249 memory: 31836 grad_norm: 5.1726 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8667 loss: 0.8667 2022/10/14 08:04:43 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:04:43 - mmengine - INFO - Epoch(train) [75][940/940] lr: 1.0000e-03 eta: 3:36:28 time: 0.5088 data_time: 0.0228 memory: 31836 grad_norm: 5.4381 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/10/14 08:04:43 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/10/14 08:04:57 - mmengine - INFO - Epoch(val) [75][20/78] eta: 0:00:35 time: 0.6153 data_time: 0.4666 memory: 3561 2022/10/14 08:05:05 - mmengine - INFO - Epoch(val) [75][40/78] eta: 0:00:16 time: 0.4300 data_time: 0.2802 memory: 3561 2022/10/14 08:05:17 - mmengine - INFO - Epoch(val) [75][60/78] eta: 0:00:10 time: 0.5704 data_time: 0.4224 memory: 3561 2022/10/14 08:05:26 - mmengine - INFO - Epoch(val) [75][78/78] acc/top1: 0.6905 acc/top5: 0.8799 acc/mean1: 0.6904 2022/10/14 08:05:41 - mmengine - INFO - Epoch(train) [76][20/940] lr: 1.0000e-03 eta: 3:36:18 time: 0.7657 data_time: 0.2512 memory: 31836 grad_norm: 5.1973 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9845 loss: 0.9845 2022/10/14 08:05:53 - mmengine - INFO - Epoch(train) [76][40/940] lr: 1.0000e-03 eta: 3:36:07 time: 0.6047 data_time: 0.0276 memory: 31836 grad_norm: 5.2629 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0421 loss: 1.0421 2022/10/14 08:06:04 - mmengine - INFO - Epoch(train) [76][60/940] lr: 1.0000e-03 eta: 3:35:56 time: 0.5530 data_time: 0.0295 memory: 31836 grad_norm: 5.1939 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9688 loss: 0.9688 2022/10/14 08:06:15 - mmengine - INFO - Epoch(train) [76][80/940] lr: 1.0000e-03 eta: 3:35:45 time: 0.5470 data_time: 0.0304 memory: 31836 grad_norm: 5.0625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/10/14 08:06:26 - mmengine - INFO - Epoch(train) [76][100/940] lr: 1.0000e-03 eta: 3:35:34 time: 0.5441 data_time: 0.0258 memory: 31836 grad_norm: 5.1743 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/10/14 08:06:37 - mmengine - INFO - Epoch(train) [76][120/940] lr: 1.0000e-03 eta: 3:35:23 time: 0.5356 data_time: 0.0238 memory: 31836 grad_norm: 5.2238 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0381 loss: 1.0381 2022/10/14 08:06:48 - mmengine - INFO - Epoch(train) [76][140/940] lr: 1.0000e-03 eta: 3:35:12 time: 0.5428 data_time: 0.0279 memory: 31836 grad_norm: 4.9817 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9351 loss: 0.9351 2022/10/14 08:06:58 - mmengine - INFO - Epoch(train) [76][160/940] lr: 1.0000e-03 eta: 3:35:01 time: 0.5450 data_time: 0.0278 memory: 31836 grad_norm: 5.1936 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1651 loss: 1.1651 2022/10/14 08:07:09 - mmengine - INFO - Epoch(train) [76][180/940] lr: 1.0000e-03 eta: 3:34:50 time: 0.5515 data_time: 0.0244 memory: 31836 grad_norm: 5.0705 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9203 loss: 0.9203 2022/10/14 08:07:20 - mmengine - INFO - Epoch(train) [76][200/940] lr: 1.0000e-03 eta: 3:34:38 time: 0.5419 data_time: 0.0275 memory: 31836 grad_norm: 5.0626 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9589 loss: 0.9589 2022/10/14 08:07:31 - mmengine - INFO - Epoch(train) [76][220/940] lr: 1.0000e-03 eta: 3:34:27 time: 0.5468 data_time: 0.0233 memory: 31836 grad_norm: 5.2263 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9115 loss: 0.9115 2022/10/14 08:07:42 - mmengine - INFO - Epoch(train) [76][240/940] lr: 1.0000e-03 eta: 3:34:16 time: 0.5441 data_time: 0.0287 memory: 31836 grad_norm: 5.1636 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9747 loss: 0.9747 2022/10/14 08:07:53 - mmengine - INFO - Epoch(train) [76][260/940] lr: 1.0000e-03 eta: 3:34:05 time: 0.5499 data_time: 0.0274 memory: 31836 grad_norm: 5.2182 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/10/14 08:08:04 - mmengine - INFO - Epoch(train) [76][280/940] lr: 1.0000e-03 eta: 3:33:54 time: 0.5417 data_time: 0.0237 memory: 31836 grad_norm: 5.1981 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8932 loss: 0.8932 2022/10/14 08:08:15 - mmengine - INFO - Epoch(train) [76][300/940] lr: 1.0000e-03 eta: 3:33:43 time: 0.5470 data_time: 0.0312 memory: 31836 grad_norm: 5.1701 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/10/14 08:08:26 - mmengine - INFO - Epoch(train) [76][320/940] lr: 1.0000e-03 eta: 3:33:32 time: 0.5374 data_time: 0.0285 memory: 31836 grad_norm: 5.1400 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0125 loss: 1.0125 2022/10/14 08:08:37 - mmengine - INFO - Epoch(train) [76][340/940] lr: 1.0000e-03 eta: 3:33:21 time: 0.5485 data_time: 0.0292 memory: 31836 grad_norm: 5.1695 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8727 loss: 0.8727 2022/10/14 08:08:47 - mmengine - INFO - Epoch(train) [76][360/940] lr: 1.0000e-03 eta: 3:33:10 time: 0.5364 data_time: 0.0250 memory: 31836 grad_norm: 5.3008 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/10/14 08:08:58 - mmengine - INFO - Epoch(train) [76][380/940] lr: 1.0000e-03 eta: 3:32:58 time: 0.5467 data_time: 0.0235 memory: 31836 grad_norm: 5.2014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/10/14 08:09:09 - mmengine - INFO - Epoch(train) [76][400/940] lr: 1.0000e-03 eta: 3:32:47 time: 0.5375 data_time: 0.0248 memory: 31836 grad_norm: 5.0411 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9179 loss: 0.9179 2022/10/14 08:09:20 - mmengine - INFO - Epoch(train) [76][420/940] lr: 1.0000e-03 eta: 3:32:36 time: 0.5421 data_time: 0.0305 memory: 31836 grad_norm: 5.0729 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8934 loss: 0.8934 2022/10/14 08:09:31 - mmengine - INFO - Epoch(train) [76][440/940] lr: 1.0000e-03 eta: 3:32:25 time: 0.5447 data_time: 0.0286 memory: 31836 grad_norm: 5.0744 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9620 loss: 0.9620 2022/10/14 08:09:42 - mmengine - INFO - Epoch(train) [76][460/940] lr: 1.0000e-03 eta: 3:32:14 time: 0.5412 data_time: 0.0250 memory: 31836 grad_norm: 5.1536 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9188 loss: 0.9188 2022/10/14 08:09:52 - mmengine - INFO - Epoch(train) [76][480/940] lr: 1.0000e-03 eta: 3:32:03 time: 0.5402 data_time: 0.0237 memory: 31836 grad_norm: 5.2043 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1384 loss: 1.1384 2022/10/14 08:10:03 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:10:03 - mmengine - INFO - Epoch(train) [76][500/940] lr: 1.0000e-03 eta: 3:31:52 time: 0.5424 data_time: 0.0239 memory: 31836 grad_norm: 5.1936 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9598 loss: 0.9598 2022/10/14 08:10:14 - mmengine - INFO - Epoch(train) [76][520/940] lr: 1.0000e-03 eta: 3:31:41 time: 0.5442 data_time: 0.0244 memory: 31836 grad_norm: 5.1051 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/10/14 08:10:25 - mmengine - INFO - Epoch(train) [76][540/940] lr: 1.0000e-03 eta: 3:31:29 time: 0.5476 data_time: 0.0297 memory: 31836 grad_norm: 5.0006 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7912 loss: 0.7912 2022/10/14 08:10:36 - mmengine - INFO - Epoch(train) [76][560/940] lr: 1.0000e-03 eta: 3:31:18 time: 0.5425 data_time: 0.0266 memory: 31836 grad_norm: 5.1294 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8920 loss: 0.8920 2022/10/14 08:10:47 - mmengine - INFO - Epoch(train) [76][580/940] lr: 1.0000e-03 eta: 3:31:07 time: 0.5430 data_time: 0.0247 memory: 31836 grad_norm: 5.1821 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0227 loss: 1.0227 2022/10/14 08:10:58 - mmengine - INFO - Epoch(train) [76][600/940] lr: 1.0000e-03 eta: 3:30:56 time: 0.5521 data_time: 0.0253 memory: 31836 grad_norm: 5.3664 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9626 loss: 0.9626 2022/10/14 08:11:09 - mmengine - INFO - Epoch(train) [76][620/940] lr: 1.0000e-03 eta: 3:30:45 time: 0.5427 data_time: 0.0273 memory: 31836 grad_norm: 5.0975 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0265 loss: 1.0265 2022/10/14 08:11:20 - mmengine - INFO - Epoch(train) [76][640/940] lr: 1.0000e-03 eta: 3:30:34 time: 0.5450 data_time: 0.0294 memory: 31836 grad_norm: 5.1051 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8861 loss: 0.8861 2022/10/14 08:11:31 - mmengine - INFO - Epoch(train) [76][660/940] lr: 1.0000e-03 eta: 3:30:23 time: 0.5452 data_time: 0.0280 memory: 31836 grad_norm: 5.2517 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0143 loss: 1.0143 2022/10/14 08:11:42 - mmengine - INFO - Epoch(train) [76][680/940] lr: 1.0000e-03 eta: 3:30:12 time: 0.5472 data_time: 0.0251 memory: 31836 grad_norm: 5.1435 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9015 loss: 0.9015 2022/10/14 08:11:52 - mmengine - INFO - Epoch(train) [76][700/940] lr: 1.0000e-03 eta: 3:30:01 time: 0.5419 data_time: 0.0271 memory: 31836 grad_norm: 5.1476 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9457 loss: 0.9457 2022/10/14 08:12:03 - mmengine - INFO - Epoch(train) [76][720/940] lr: 1.0000e-03 eta: 3:29:50 time: 0.5507 data_time: 0.0284 memory: 31836 grad_norm: 5.1148 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9183 loss: 0.9183 2022/10/14 08:12:14 - mmengine - INFO - Epoch(train) [76][740/940] lr: 1.0000e-03 eta: 3:29:38 time: 0.5416 data_time: 0.0289 memory: 31836 grad_norm: 5.1738 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/10/14 08:12:25 - mmengine - INFO - Epoch(train) [76][760/940] lr: 1.0000e-03 eta: 3:29:27 time: 0.5381 data_time: 0.0281 memory: 31836 grad_norm: 5.1757 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9107 loss: 0.9107 2022/10/14 08:12:36 - mmengine - INFO - Epoch(train) [76][780/940] lr: 1.0000e-03 eta: 3:29:16 time: 0.5384 data_time: 0.0259 memory: 31836 grad_norm: 5.4165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/10/14 08:12:47 - mmengine - INFO - Epoch(train) [76][800/940] lr: 1.0000e-03 eta: 3:29:05 time: 0.5531 data_time: 0.0221 memory: 31836 grad_norm: 5.0349 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/10/14 08:12:58 - mmengine - INFO - Epoch(train) [76][820/940] lr: 1.0000e-03 eta: 3:28:54 time: 0.5651 data_time: 0.0276 memory: 31836 grad_norm: 5.1449 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0182 loss: 1.0182 2022/10/14 08:13:09 - mmengine - INFO - Epoch(train) [76][840/940] lr: 1.0000e-03 eta: 3:28:43 time: 0.5465 data_time: 0.0297 memory: 31836 grad_norm: 5.4252 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0332 loss: 1.0332 2022/10/14 08:13:20 - mmengine - INFO - Epoch(train) [76][860/940] lr: 1.0000e-03 eta: 3:28:32 time: 0.5607 data_time: 0.0245 memory: 31836 grad_norm: 5.2037 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8923 loss: 0.8923 2022/10/14 08:13:31 - mmengine - INFO - Epoch(train) [76][880/940] lr: 1.0000e-03 eta: 3:28:21 time: 0.5472 data_time: 0.0239 memory: 31836 grad_norm: 5.3531 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9303 loss: 0.9303 2022/10/14 08:13:42 - mmengine - INFO - Epoch(train) [76][900/940] lr: 1.0000e-03 eta: 3:28:10 time: 0.5577 data_time: 0.0255 memory: 31836 grad_norm: 5.2319 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9438 loss: 0.9438 2022/10/14 08:13:53 - mmengine - INFO - Epoch(train) [76][920/940] lr: 1.0000e-03 eta: 3:27:59 time: 0.5460 data_time: 0.0277 memory: 31836 grad_norm: 5.0699 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/10/14 08:14:04 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:14:04 - mmengine - INFO - Epoch(train) [76][940/940] lr: 1.0000e-03 eta: 3:27:48 time: 0.5188 data_time: 0.0242 memory: 31836 grad_norm: 5.4322 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.0765 loss: 1.0765 2022/10/14 08:14:16 - mmengine - INFO - Epoch(val) [76][20/78] eta: 0:00:35 time: 0.6046 data_time: 0.4558 memory: 3561 2022/10/14 08:14:25 - mmengine - INFO - Epoch(val) [76][40/78] eta: 0:00:17 time: 0.4518 data_time: 0.2981 memory: 3561 2022/10/14 08:14:36 - mmengine - INFO - Epoch(val) [76][60/78] eta: 0:00:10 time: 0.5625 data_time: 0.4132 memory: 3561 2022/10/14 08:14:49 - mmengine - INFO - Epoch(val) [76][78/78] acc/top1: 0.6906 acc/top5: 0.8794 acc/mean1: 0.6905 2022/10/14 08:15:06 - mmengine - INFO - Epoch(train) [77][20/940] lr: 1.0000e-03 eta: 3:27:39 time: 0.8747 data_time: 0.2467 memory: 31836 grad_norm: 5.1625 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9448 loss: 0.9448 2022/10/14 08:15:17 - mmengine - INFO - Epoch(train) [77][40/940] lr: 1.0000e-03 eta: 3:27:27 time: 0.5431 data_time: 0.0230 memory: 31836 grad_norm: 5.0766 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8480 loss: 0.8480 2022/10/14 08:15:28 - mmengine - INFO - Epoch(train) [77][60/940] lr: 1.0000e-03 eta: 3:27:16 time: 0.5450 data_time: 0.0253 memory: 31836 grad_norm: 5.1239 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8827 loss: 0.8827 2022/10/14 08:15:39 - mmengine - INFO - Epoch(train) [77][80/940] lr: 1.0000e-03 eta: 3:27:05 time: 0.5405 data_time: 0.0249 memory: 31836 grad_norm: 5.0975 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8111 loss: 0.8111 2022/10/14 08:15:50 - mmengine - INFO - Epoch(train) [77][100/940] lr: 1.0000e-03 eta: 3:26:54 time: 0.5447 data_time: 0.0266 memory: 31836 grad_norm: 5.1048 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/10/14 08:16:01 - mmengine - INFO - Epoch(train) [77][120/940] lr: 1.0000e-03 eta: 3:26:43 time: 0.5472 data_time: 0.0229 memory: 31836 grad_norm: 5.3139 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9583 loss: 0.9583 2022/10/14 08:16:12 - mmengine - INFO - Epoch(train) [77][140/940] lr: 1.0000e-03 eta: 3:26:32 time: 0.5496 data_time: 0.0279 memory: 31836 grad_norm: 4.9488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9084 loss: 0.9084 2022/10/14 08:16:23 - mmengine - INFO - Epoch(train) [77][160/940] lr: 1.0000e-03 eta: 3:26:21 time: 0.5444 data_time: 0.0239 memory: 31836 grad_norm: 5.1226 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9801 loss: 0.9801 2022/10/14 08:16:33 - mmengine - INFO - Epoch(train) [77][180/940] lr: 1.0000e-03 eta: 3:26:10 time: 0.5432 data_time: 0.0311 memory: 31836 grad_norm: 5.2862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9712 loss: 0.9712 2022/10/14 08:16:44 - mmengine - INFO - Epoch(train) [77][200/940] lr: 1.0000e-03 eta: 3:25:59 time: 0.5417 data_time: 0.0266 memory: 31836 grad_norm: 5.1629 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9307 loss: 0.9307 2022/10/14 08:16:55 - mmengine - INFO - Epoch(train) [77][220/940] lr: 1.0000e-03 eta: 3:25:47 time: 0.5441 data_time: 0.0223 memory: 31836 grad_norm: 5.1678 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8657 loss: 0.8657 2022/10/14 08:17:06 - mmengine - INFO - Epoch(train) [77][240/940] lr: 1.0000e-03 eta: 3:25:36 time: 0.5456 data_time: 0.0247 memory: 31836 grad_norm: 4.9431 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9285 loss: 0.9285 2022/10/14 08:17:17 - mmengine - INFO - Epoch(train) [77][260/940] lr: 1.0000e-03 eta: 3:25:25 time: 0.5491 data_time: 0.0265 memory: 31836 grad_norm: 5.2898 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9387 loss: 0.9387 2022/10/14 08:17:28 - mmengine - INFO - Epoch(train) [77][280/940] lr: 1.0000e-03 eta: 3:25:14 time: 0.5388 data_time: 0.0242 memory: 31836 grad_norm: 5.1712 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/10/14 08:17:39 - mmengine - INFO - Epoch(train) [77][300/940] lr: 1.0000e-03 eta: 3:25:03 time: 0.5458 data_time: 0.0313 memory: 31836 grad_norm: 5.2407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0652 loss: 1.0652 2022/10/14 08:17:50 - mmengine - INFO - Epoch(train) [77][320/940] lr: 1.0000e-03 eta: 3:24:52 time: 0.5490 data_time: 0.0281 memory: 31836 grad_norm: 5.1945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9657 loss: 0.9657 2022/10/14 08:18:01 - mmengine - INFO - Epoch(train) [77][340/940] lr: 1.0000e-03 eta: 3:24:41 time: 0.5901 data_time: 0.0231 memory: 31836 grad_norm: 5.0909 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9400 loss: 0.9400 2022/10/14 08:18:12 - mmengine - INFO - Epoch(train) [77][360/940] lr: 1.0000e-03 eta: 3:24:30 time: 0.5436 data_time: 0.0287 memory: 31836 grad_norm: 5.0129 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8331 loss: 0.8331 2022/10/14 08:18:23 - mmengine - INFO - Epoch(train) [77][380/940] lr: 1.0000e-03 eta: 3:24:19 time: 0.5426 data_time: 0.0300 memory: 31836 grad_norm: 5.0871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9568 loss: 0.9568 2022/10/14 08:18:34 - mmengine - INFO - Epoch(train) [77][400/940] lr: 1.0000e-03 eta: 3:24:08 time: 0.5436 data_time: 0.0286 memory: 31836 grad_norm: 5.0921 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9300 loss: 0.9300 2022/10/14 08:18:45 - mmengine - INFO - Epoch(train) [77][420/940] lr: 1.0000e-03 eta: 3:23:57 time: 0.5432 data_time: 0.0231 memory: 31836 grad_norm: 5.1197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9324 loss: 0.9324 2022/10/14 08:18:56 - mmengine - INFO - Epoch(train) [77][440/940] lr: 1.0000e-03 eta: 3:23:46 time: 0.5420 data_time: 0.0253 memory: 31836 grad_norm: 5.1543 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8864 loss: 0.8864 2022/10/14 08:19:07 - mmengine - INFO - Epoch(train) [77][460/940] lr: 1.0000e-03 eta: 3:23:34 time: 0.5407 data_time: 0.0249 memory: 31836 grad_norm: 5.1181 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9591 loss: 0.9591 2022/10/14 08:19:17 - mmengine - INFO - Epoch(train) [77][480/940] lr: 1.0000e-03 eta: 3:23:23 time: 0.5384 data_time: 0.0271 memory: 31836 grad_norm: 5.2107 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0096 loss: 1.0096 2022/10/14 08:19:28 - mmengine - INFO - Epoch(train) [77][500/940] lr: 1.0000e-03 eta: 3:23:12 time: 0.5528 data_time: 0.0284 memory: 31836 grad_norm: 5.3427 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.0665 loss: 1.0665 2022/10/14 08:19:39 - mmengine - INFO - Epoch(train) [77][520/940] lr: 1.0000e-03 eta: 3:23:01 time: 0.5389 data_time: 0.0244 memory: 31836 grad_norm: 5.1124 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9209 loss: 0.9209 2022/10/14 08:19:50 - mmengine - INFO - Epoch(train) [77][540/940] lr: 1.0000e-03 eta: 3:22:50 time: 0.5464 data_time: 0.0289 memory: 31836 grad_norm: 5.1555 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9561 loss: 0.9561 2022/10/14 08:20:01 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:20:01 - mmengine - INFO - Epoch(train) [77][560/940] lr: 1.0000e-03 eta: 3:22:39 time: 0.5464 data_time: 0.0265 memory: 31836 grad_norm: 5.1214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0387 loss: 1.0387 2022/10/14 08:20:12 - mmengine - INFO - Epoch(train) [77][580/940] lr: 1.0000e-03 eta: 3:22:28 time: 0.5449 data_time: 0.0245 memory: 31836 grad_norm: 5.1522 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9614 loss: 0.9614 2022/10/14 08:20:23 - mmengine - INFO - Epoch(train) [77][600/940] lr: 1.0000e-03 eta: 3:22:17 time: 0.5405 data_time: 0.0296 memory: 31836 grad_norm: 5.1860 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8586 loss: 0.8586 2022/10/14 08:20:34 - mmengine - INFO - Epoch(train) [77][620/940] lr: 1.0000e-03 eta: 3:22:06 time: 0.5478 data_time: 0.0299 memory: 31836 grad_norm: 5.3601 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/10/14 08:20:45 - mmengine - INFO - Epoch(train) [77][640/940] lr: 1.0000e-03 eta: 3:21:55 time: 0.5470 data_time: 0.0289 memory: 31836 grad_norm: 5.1423 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8928 loss: 0.8928 2022/10/14 08:20:56 - mmengine - INFO - Epoch(train) [77][660/940] lr: 1.0000e-03 eta: 3:21:43 time: 0.5460 data_time: 0.0226 memory: 31836 grad_norm: 5.2743 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/10/14 08:21:07 - mmengine - INFO - Epoch(train) [77][680/940] lr: 1.0000e-03 eta: 3:21:32 time: 0.5441 data_time: 0.0296 memory: 31836 grad_norm: 5.0703 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9168 loss: 0.9168 2022/10/14 08:21:17 - mmengine - INFO - Epoch(train) [77][700/940] lr: 1.0000e-03 eta: 3:21:21 time: 0.5418 data_time: 0.0244 memory: 31836 grad_norm: 5.1875 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0015 loss: 1.0015 2022/10/14 08:21:28 - mmengine - INFO - Epoch(train) [77][720/940] lr: 1.0000e-03 eta: 3:21:10 time: 0.5417 data_time: 0.0241 memory: 31836 grad_norm: 5.1420 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9106 loss: 0.9106 2022/10/14 08:21:39 - mmengine - INFO - Epoch(train) [77][740/940] lr: 1.0000e-03 eta: 3:20:59 time: 0.5427 data_time: 0.0301 memory: 31836 grad_norm: 5.1215 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9053 loss: 0.9053 2022/10/14 08:21:50 - mmengine - INFO - Epoch(train) [77][760/940] lr: 1.0000e-03 eta: 3:20:48 time: 0.5442 data_time: 0.0277 memory: 31836 grad_norm: 5.1777 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9290 loss: 0.9290 2022/10/14 08:22:01 - mmengine - INFO - Epoch(train) [77][780/940] lr: 1.0000e-03 eta: 3:20:37 time: 0.5521 data_time: 0.0319 memory: 31836 grad_norm: 5.0486 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0017 loss: 1.0017 2022/10/14 08:22:12 - mmengine - INFO - Epoch(train) [77][800/940] lr: 1.0000e-03 eta: 3:20:26 time: 0.5473 data_time: 0.0310 memory: 31836 grad_norm: 5.2210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9644 loss: 0.9644 2022/10/14 08:22:23 - mmengine - INFO - Epoch(train) [77][820/940] lr: 1.0000e-03 eta: 3:20:15 time: 0.5497 data_time: 0.0250 memory: 31836 grad_norm: 5.2501 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9317 loss: 0.9317 2022/10/14 08:22:34 - mmengine - INFO - Epoch(train) [77][840/940] lr: 1.0000e-03 eta: 3:20:04 time: 0.5441 data_time: 0.0250 memory: 31836 grad_norm: 5.1497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/10/14 08:22:45 - mmengine - INFO - Epoch(train) [77][860/940] lr: 1.0000e-03 eta: 3:19:52 time: 0.5479 data_time: 0.0273 memory: 31836 grad_norm: 5.1869 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9556 loss: 0.9556 2022/10/14 08:22:56 - mmengine - INFO - Epoch(train) [77][880/940] lr: 1.0000e-03 eta: 3:19:41 time: 0.5373 data_time: 0.0252 memory: 31836 grad_norm: 5.1829 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9218 loss: 0.9218 2022/10/14 08:23:06 - mmengine - INFO - Epoch(train) [77][900/940] lr: 1.0000e-03 eta: 3:19:30 time: 0.5464 data_time: 0.0280 memory: 31836 grad_norm: 5.1315 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9513 loss: 0.9513 2022/10/14 08:23:17 - mmengine - INFO - Epoch(train) [77][920/940] lr: 1.0000e-03 eta: 3:19:19 time: 0.5419 data_time: 0.0243 memory: 31836 grad_norm: 5.2255 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 0.9434 loss: 0.9434 2022/10/14 08:23:27 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:23:27 - mmengine - INFO - Epoch(train) [77][940/940] lr: 1.0000e-03 eta: 3:19:08 time: 0.5105 data_time: 0.0205 memory: 31836 grad_norm: 5.5116 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0626 loss: 1.0626 2022/10/14 08:23:40 - mmengine - INFO - Epoch(val) [77][20/78] eta: 0:00:35 time: 0.6152 data_time: 0.4623 memory: 3561 2022/10/14 08:23:49 - mmengine - INFO - Epoch(val) [77][40/78] eta: 0:00:16 time: 0.4337 data_time: 0.2822 memory: 3561 2022/10/14 08:24:00 - mmengine - INFO - Epoch(val) [77][60/78] eta: 0:00:10 time: 0.5596 data_time: 0.4100 memory: 3561 2022/10/14 08:24:10 - mmengine - INFO - Epoch(val) [77][78/78] acc/top1: 0.6909 acc/top5: 0.8804 acc/mean1: 0.6908 2022/10/14 08:24:25 - mmengine - INFO - Epoch(train) [78][20/940] lr: 1.0000e-03 eta: 3:18:58 time: 0.7639 data_time: 0.2262 memory: 31836 grad_norm: 5.2175 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9206 loss: 0.9206 2022/10/14 08:24:36 - mmengine - INFO - Epoch(train) [78][40/940] lr: 1.0000e-03 eta: 3:18:47 time: 0.5566 data_time: 0.0285 memory: 31836 grad_norm: 5.2920 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9998 loss: 0.9998 2022/10/14 08:24:48 - mmengine - INFO - Epoch(train) [78][60/940] lr: 1.0000e-03 eta: 3:18:36 time: 0.5654 data_time: 0.0278 memory: 31836 grad_norm: 5.1653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0985 loss: 1.0985 2022/10/14 08:24:59 - mmengine - INFO - Epoch(train) [78][80/940] lr: 1.0000e-03 eta: 3:18:25 time: 0.5541 data_time: 0.0271 memory: 31836 grad_norm: 5.1931 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9900 loss: 0.9900 2022/10/14 08:25:10 - mmengine - INFO - Epoch(train) [78][100/940] lr: 1.0000e-03 eta: 3:18:14 time: 0.5377 data_time: 0.0249 memory: 31836 grad_norm: 5.2193 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0097 loss: 1.0097 2022/10/14 08:25:21 - mmengine - INFO - Epoch(train) [78][120/940] lr: 1.0000e-03 eta: 3:18:03 time: 0.5450 data_time: 0.0220 memory: 31836 grad_norm: 5.1941 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9837 loss: 0.9837 2022/10/14 08:25:31 - mmengine - INFO - Epoch(train) [78][140/940] lr: 1.0000e-03 eta: 3:17:52 time: 0.5437 data_time: 0.0271 memory: 31836 grad_norm: 5.2847 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9272 loss: 0.9272 2022/10/14 08:25:42 - mmengine - INFO - Epoch(train) [78][160/940] lr: 1.0000e-03 eta: 3:17:41 time: 0.5431 data_time: 0.0257 memory: 31836 grad_norm: 5.0907 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9302 loss: 0.9302 2022/10/14 08:25:53 - mmengine - INFO - Epoch(train) [78][180/940] lr: 1.0000e-03 eta: 3:17:29 time: 0.5425 data_time: 0.0285 memory: 31836 grad_norm: 5.1123 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9181 loss: 0.9181 2022/10/14 08:26:04 - mmengine - INFO - Epoch(train) [78][200/940] lr: 1.0000e-03 eta: 3:17:18 time: 0.5404 data_time: 0.0297 memory: 31836 grad_norm: 5.0949 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8294 loss: 0.8294 2022/10/14 08:26:15 - mmengine - INFO - Epoch(train) [78][220/940] lr: 1.0000e-03 eta: 3:17:07 time: 0.5466 data_time: 0.0274 memory: 31836 grad_norm: 5.2281 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9656 loss: 0.9656 2022/10/14 08:26:26 - mmengine - INFO - Epoch(train) [78][240/940] lr: 1.0000e-03 eta: 3:16:56 time: 0.5403 data_time: 0.0248 memory: 31836 grad_norm: 5.1646 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9818 loss: 0.9818 2022/10/14 08:26:37 - mmengine - INFO - Epoch(train) [78][260/940] lr: 1.0000e-03 eta: 3:16:45 time: 0.5422 data_time: 0.0271 memory: 31836 grad_norm: 5.1425 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9790 loss: 0.9790 2022/10/14 08:26:47 - mmengine - INFO - Epoch(train) [78][280/940] lr: 1.0000e-03 eta: 3:16:34 time: 0.5372 data_time: 0.0249 memory: 31836 grad_norm: 5.2323 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9558 loss: 0.9558 2022/10/14 08:26:58 - mmengine - INFO - Epoch(train) [78][300/940] lr: 1.0000e-03 eta: 3:16:23 time: 0.5491 data_time: 0.0360 memory: 31836 grad_norm: 5.2717 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9155 loss: 0.9155 2022/10/14 08:27:09 - mmengine - INFO - Epoch(train) [78][320/940] lr: 1.0000e-03 eta: 3:16:12 time: 0.5429 data_time: 0.0283 memory: 31836 grad_norm: 5.1929 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9592 loss: 0.9592 2022/10/14 08:27:20 - mmengine - INFO - Epoch(train) [78][340/940] lr: 1.0000e-03 eta: 3:16:00 time: 0.5386 data_time: 0.0250 memory: 31836 grad_norm: 5.0971 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9098 loss: 0.9098 2022/10/14 08:27:31 - mmengine - INFO - Epoch(train) [78][360/940] lr: 1.0000e-03 eta: 3:15:49 time: 0.5541 data_time: 0.0238 memory: 31836 grad_norm: 5.2734 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/10/14 08:27:42 - mmengine - INFO - Epoch(train) [78][380/940] lr: 1.0000e-03 eta: 3:15:38 time: 0.5400 data_time: 0.0245 memory: 31836 grad_norm: 5.0929 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9660 loss: 0.9660 2022/10/14 08:27:53 - mmengine - INFO - Epoch(train) [78][400/940] lr: 1.0000e-03 eta: 3:15:27 time: 0.5420 data_time: 0.0272 memory: 31836 grad_norm: 5.2021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8162 loss: 0.8162 2022/10/14 08:28:04 - mmengine - INFO - Epoch(train) [78][420/940] lr: 1.0000e-03 eta: 3:15:16 time: 0.5441 data_time: 0.0266 memory: 31836 grad_norm: 5.2347 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9677 loss: 0.9677 2022/10/14 08:28:14 - mmengine - INFO - Epoch(train) [78][440/940] lr: 1.0000e-03 eta: 3:15:05 time: 0.5410 data_time: 0.0263 memory: 31836 grad_norm: 5.2752 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8862 loss: 0.8862 2022/10/14 08:28:25 - mmengine - INFO - Epoch(train) [78][460/940] lr: 1.0000e-03 eta: 3:14:54 time: 0.5443 data_time: 0.0280 memory: 31836 grad_norm: 5.2072 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0203 loss: 1.0203 2022/10/14 08:28:36 - mmengine - INFO - Epoch(train) [78][480/940] lr: 1.0000e-03 eta: 3:14:43 time: 0.5378 data_time: 0.0261 memory: 31836 grad_norm: 5.2243 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8873 loss: 0.8873 2022/10/14 08:28:47 - mmengine - INFO - Epoch(train) [78][500/940] lr: 1.0000e-03 eta: 3:14:32 time: 0.5379 data_time: 0.0287 memory: 31836 grad_norm: 5.1720 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8571 loss: 0.8571 2022/10/14 08:28:58 - mmengine - INFO - Epoch(train) [78][520/940] lr: 1.0000e-03 eta: 3:14:20 time: 0.5454 data_time: 0.0231 memory: 31836 grad_norm: 5.2055 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0638 loss: 1.0638 2022/10/14 08:29:09 - mmengine - INFO - Epoch(train) [78][540/940] lr: 1.0000e-03 eta: 3:14:09 time: 0.5452 data_time: 0.0292 memory: 31836 grad_norm: 5.0278 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9665 loss: 0.9665 2022/10/14 08:29:19 - mmengine - INFO - Epoch(train) [78][560/940] lr: 1.0000e-03 eta: 3:13:58 time: 0.5458 data_time: 0.0298 memory: 31836 grad_norm: 5.1582 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8941 loss: 0.8941 2022/10/14 08:29:30 - mmengine - INFO - Epoch(train) [78][580/940] lr: 1.0000e-03 eta: 3:13:47 time: 0.5476 data_time: 0.0235 memory: 31836 grad_norm: 5.0951 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9000 loss: 0.9000 2022/10/14 08:29:41 - mmengine - INFO - Epoch(train) [78][600/940] lr: 1.0000e-03 eta: 3:13:36 time: 0.5477 data_time: 0.0240 memory: 31836 grad_norm: 5.0769 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9737 loss: 0.9737 2022/10/14 08:29:52 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:29:52 - mmengine - INFO - Epoch(train) [78][620/940] lr: 1.0000e-03 eta: 3:13:25 time: 0.5416 data_time: 0.0270 memory: 31836 grad_norm: 5.2841 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9709 loss: 0.9709 2022/10/14 08:30:03 - mmengine - INFO - Epoch(train) [78][640/940] lr: 1.0000e-03 eta: 3:13:14 time: 0.5378 data_time: 0.0292 memory: 31836 grad_norm: 5.1456 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9637 loss: 0.9637 2022/10/14 08:30:14 - mmengine - INFO - Epoch(train) [78][660/940] lr: 1.0000e-03 eta: 3:13:03 time: 0.5394 data_time: 0.0284 memory: 31836 grad_norm: 5.2987 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9473 loss: 0.9473 2022/10/14 08:30:25 - mmengine - INFO - Epoch(train) [78][680/940] lr: 1.0000e-03 eta: 3:12:52 time: 0.5407 data_time: 0.0240 memory: 31836 grad_norm: 4.9077 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9564 loss: 0.9564 2022/10/14 08:30:35 - mmengine - INFO - Epoch(train) [78][700/940] lr: 1.0000e-03 eta: 3:12:41 time: 0.5436 data_time: 0.0269 memory: 31836 grad_norm: 5.2072 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9806 loss: 0.9806 2022/10/14 08:30:46 - mmengine - INFO - Epoch(train) [78][720/940] lr: 1.0000e-03 eta: 3:12:29 time: 0.5451 data_time: 0.0299 memory: 31836 grad_norm: 5.1943 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9326 loss: 0.9326 2022/10/14 08:30:57 - mmengine - INFO - Epoch(train) [78][740/940] lr: 1.0000e-03 eta: 3:12:18 time: 0.5409 data_time: 0.0345 memory: 31836 grad_norm: 5.2433 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 0.8953 loss: 0.8953 2022/10/14 08:31:08 - mmengine - INFO - Epoch(train) [78][760/940] lr: 1.0000e-03 eta: 3:12:07 time: 0.5385 data_time: 0.0281 memory: 31836 grad_norm: 5.1661 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9314 loss: 0.9314 2022/10/14 08:31:19 - mmengine - INFO - Epoch(train) [78][780/940] lr: 1.0000e-03 eta: 3:11:56 time: 0.5494 data_time: 0.0257 memory: 31836 grad_norm: 5.0971 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9060 loss: 0.9060 2022/10/14 08:31:30 - mmengine - INFO - Epoch(train) [78][800/940] lr: 1.0000e-03 eta: 3:11:45 time: 0.5443 data_time: 0.0282 memory: 31836 grad_norm: 5.1947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/10/14 08:31:41 - mmengine - INFO - Epoch(train) [78][820/940] lr: 1.0000e-03 eta: 3:11:34 time: 0.5432 data_time: 0.0304 memory: 31836 grad_norm: 5.1933 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0057 loss: 1.0057 2022/10/14 08:31:52 - mmengine - INFO - Epoch(train) [78][840/940] lr: 1.0000e-03 eta: 3:11:23 time: 0.5449 data_time: 0.0304 memory: 31836 grad_norm: 5.2853 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9755 loss: 0.9755 2022/10/14 08:32:02 - mmengine - INFO - Epoch(train) [78][860/940] lr: 1.0000e-03 eta: 3:11:12 time: 0.5393 data_time: 0.0272 memory: 31836 grad_norm: 5.2189 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8435 loss: 0.8435 2022/10/14 08:32:13 - mmengine - INFO - Epoch(train) [78][880/940] lr: 1.0000e-03 eta: 3:11:01 time: 0.5439 data_time: 0.0262 memory: 31836 grad_norm: 5.3053 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0114 loss: 1.0114 2022/10/14 08:32:24 - mmengine - INFO - Epoch(train) [78][900/940] lr: 1.0000e-03 eta: 3:10:49 time: 0.5415 data_time: 0.0298 memory: 31836 grad_norm: 5.3972 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9216 loss: 0.9216 2022/10/14 08:32:35 - mmengine - INFO - Epoch(train) [78][920/940] lr: 1.0000e-03 eta: 3:10:38 time: 0.5478 data_time: 0.0283 memory: 31836 grad_norm: 5.1627 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8886 loss: 0.8886 2022/10/14 08:32:45 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:32:45 - mmengine - INFO - Epoch(train) [78][940/940] lr: 1.0000e-03 eta: 3:10:27 time: 0.5081 data_time: 0.0241 memory: 31836 grad_norm: 5.4429 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0485 loss: 1.0485 2022/10/14 08:32:45 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/10/14 08:32:59 - mmengine - INFO - Epoch(val) [78][20/78] eta: 0:00:35 time: 0.6165 data_time: 0.4669 memory: 3561 2022/10/14 08:33:08 - mmengine - INFO - Epoch(val) [78][40/78] eta: 0:00:17 time: 0.4478 data_time: 0.3002 memory: 3561 2022/10/14 08:33:19 - mmengine - INFO - Epoch(val) [78][60/78] eta: 0:00:09 time: 0.5390 data_time: 0.3907 memory: 3561 2022/10/14 08:33:28 - mmengine - INFO - Epoch(val) [78][78/78] acc/top1: 0.6891 acc/top5: 0.8785 acc/mean1: 0.6890 2022/10/14 08:33:43 - mmengine - INFO - Epoch(train) [79][20/940] lr: 1.0000e-03 eta: 3:10:17 time: 0.7674 data_time: 0.2182 memory: 31836 grad_norm: 5.0863 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8870 loss: 0.8870 2022/10/14 08:33:54 - mmengine - INFO - Epoch(train) [79][40/940] lr: 1.0000e-03 eta: 3:10:06 time: 0.5512 data_time: 0.0280 memory: 31836 grad_norm: 5.1869 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9007 loss: 0.9007 2022/10/14 08:34:05 - mmengine - INFO - Epoch(train) [79][60/940] lr: 1.0000e-03 eta: 3:09:55 time: 0.5563 data_time: 0.0374 memory: 31836 grad_norm: 5.1427 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9178 loss: 0.9178 2022/10/14 08:34:16 - mmengine - INFO - Epoch(train) [79][80/940] lr: 1.0000e-03 eta: 3:09:44 time: 0.5558 data_time: 0.0239 memory: 31836 grad_norm: 5.1321 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9238 loss: 0.9238 2022/10/14 08:34:28 - mmengine - INFO - Epoch(train) [79][100/940] lr: 1.0000e-03 eta: 3:09:33 time: 0.5542 data_time: 0.0307 memory: 31836 grad_norm: 5.1832 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9114 loss: 0.9114 2022/10/14 08:34:38 - mmengine - INFO - Epoch(train) [79][120/940] lr: 1.0000e-03 eta: 3:09:22 time: 0.5445 data_time: 0.0265 memory: 31836 grad_norm: 5.2797 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9972 loss: 0.9972 2022/10/14 08:34:49 - mmengine - INFO - Epoch(train) [79][140/940] lr: 1.0000e-03 eta: 3:09:11 time: 0.5421 data_time: 0.0241 memory: 31836 grad_norm: 5.1463 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9899 loss: 0.9899 2022/10/14 08:35:00 - mmengine - INFO - Epoch(train) [79][160/940] lr: 1.0000e-03 eta: 3:09:00 time: 0.5381 data_time: 0.0271 memory: 31836 grad_norm: 5.2123 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9756 loss: 0.9756 2022/10/14 08:35:11 - mmengine - INFO - Epoch(train) [79][180/940] lr: 1.0000e-03 eta: 3:08:49 time: 0.5408 data_time: 0.0248 memory: 31836 grad_norm: 5.2759 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9167 loss: 0.9167 2022/10/14 08:35:22 - mmengine - INFO - Epoch(train) [79][200/940] lr: 1.0000e-03 eta: 3:08:37 time: 0.5408 data_time: 0.0266 memory: 31836 grad_norm: 5.3638 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8422 loss: 0.8422 2022/10/14 08:35:33 - mmengine - INFO - Epoch(train) [79][220/940] lr: 1.0000e-03 eta: 3:08:26 time: 0.5468 data_time: 0.0253 memory: 31836 grad_norm: 5.2155 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9587 loss: 0.9587 2022/10/14 08:35:43 - mmengine - INFO - Epoch(train) [79][240/940] lr: 1.0000e-03 eta: 3:08:15 time: 0.5365 data_time: 0.0251 memory: 31836 grad_norm: 5.3039 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9286 loss: 0.9286 2022/10/14 08:35:54 - mmengine - INFO - Epoch(train) [79][260/940] lr: 1.0000e-03 eta: 3:08:04 time: 0.5403 data_time: 0.0273 memory: 31836 grad_norm: 5.1535 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0065 loss: 1.0065 2022/10/14 08:36:05 - mmengine - INFO - Epoch(train) [79][280/940] lr: 1.0000e-03 eta: 3:07:53 time: 0.5455 data_time: 0.0235 memory: 31836 grad_norm: 5.1823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/10/14 08:36:16 - mmengine - INFO - Epoch(train) [79][300/940] lr: 1.0000e-03 eta: 3:07:42 time: 0.5554 data_time: 0.0418 memory: 31836 grad_norm: 5.1650 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9228 loss: 0.9228 2022/10/14 08:36:27 - mmengine - INFO - Epoch(train) [79][320/940] lr: 1.0000e-03 eta: 3:07:31 time: 0.5446 data_time: 0.0290 memory: 31836 grad_norm: 5.0670 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9680 loss: 0.9680 2022/10/14 08:36:38 - mmengine - INFO - Epoch(train) [79][340/940] lr: 1.0000e-03 eta: 3:07:20 time: 0.5416 data_time: 0.0279 memory: 31836 grad_norm: 5.1234 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8360 loss: 0.8360 2022/10/14 08:36:49 - mmengine - INFO - Epoch(train) [79][360/940] lr: 1.0000e-03 eta: 3:07:09 time: 0.5494 data_time: 0.0241 memory: 31836 grad_norm: 5.1514 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9006 loss: 0.9006 2022/10/14 08:37:00 - mmengine - INFO - Epoch(train) [79][380/940] lr: 1.0000e-03 eta: 3:06:58 time: 0.5418 data_time: 0.0234 memory: 31836 grad_norm: 5.2598 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9878 loss: 0.9878 2022/10/14 08:37:11 - mmengine - INFO - Epoch(train) [79][400/940] lr: 1.0000e-03 eta: 3:06:47 time: 0.5410 data_time: 0.0313 memory: 31836 grad_norm: 5.2775 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8864 loss: 0.8864 2022/10/14 08:37:21 - mmengine - INFO - Epoch(train) [79][420/940] lr: 1.0000e-03 eta: 3:06:35 time: 0.5407 data_time: 0.0245 memory: 31836 grad_norm: 5.1890 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0594 loss: 1.0594 2022/10/14 08:37:32 - mmengine - INFO - Epoch(train) [79][440/940] lr: 1.0000e-03 eta: 3:06:24 time: 0.5357 data_time: 0.0237 memory: 31836 grad_norm: 5.1857 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8919 loss: 0.8919 2022/10/14 08:37:43 - mmengine - INFO - Epoch(train) [79][460/940] lr: 1.0000e-03 eta: 3:06:13 time: 0.5398 data_time: 0.0285 memory: 31836 grad_norm: 5.1693 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.7842 loss: 0.7842 2022/10/14 08:37:54 - mmengine - INFO - Epoch(train) [79][480/940] lr: 1.0000e-03 eta: 3:06:02 time: 0.5466 data_time: 0.0314 memory: 31836 grad_norm: 5.3454 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9874 loss: 0.9874 2022/10/14 08:38:05 - mmengine - INFO - Epoch(train) [79][500/940] lr: 1.0000e-03 eta: 3:05:51 time: 0.5412 data_time: 0.0259 memory: 31836 grad_norm: 5.4178 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9503 loss: 0.9503 2022/10/14 08:38:16 - mmengine - INFO - Epoch(train) [79][520/940] lr: 1.0000e-03 eta: 3:05:40 time: 0.5417 data_time: 0.0295 memory: 31836 grad_norm: 5.2036 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8372 loss: 0.8372 2022/10/14 08:38:26 - mmengine - INFO - Epoch(train) [79][540/940] lr: 1.0000e-03 eta: 3:05:29 time: 0.5412 data_time: 0.0229 memory: 31836 grad_norm: 5.0760 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8661 loss: 0.8661 2022/10/14 08:38:37 - mmengine - INFO - Epoch(train) [79][560/940] lr: 1.0000e-03 eta: 3:05:18 time: 0.5452 data_time: 0.0277 memory: 31836 grad_norm: 5.3189 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9352 loss: 0.9352 2022/10/14 08:38:48 - mmengine - INFO - Epoch(train) [79][580/940] lr: 1.0000e-03 eta: 3:05:06 time: 0.5416 data_time: 0.0309 memory: 31836 grad_norm: 5.1755 top1_acc: 0.5938 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/10/14 08:38:59 - mmengine - INFO - Epoch(train) [79][600/940] lr: 1.0000e-03 eta: 3:04:55 time: 0.5453 data_time: 0.0270 memory: 31836 grad_norm: 5.2076 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8566 loss: 0.8566 2022/10/14 08:39:10 - mmengine - INFO - Epoch(train) [79][620/940] lr: 1.0000e-03 eta: 3:04:44 time: 0.5399 data_time: 0.0229 memory: 31836 grad_norm: 5.2996 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8915 loss: 0.8915 2022/10/14 08:39:21 - mmengine - INFO - Epoch(train) [79][640/940] lr: 1.0000e-03 eta: 3:04:33 time: 0.5384 data_time: 0.0251 memory: 31836 grad_norm: 5.3696 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9523 loss: 0.9523 2022/10/14 08:39:31 - mmengine - INFO - Epoch(train) [79][660/940] lr: 1.0000e-03 eta: 3:04:22 time: 0.5425 data_time: 0.0254 memory: 31836 grad_norm: 5.1673 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9235 loss: 0.9235 2022/10/14 08:39:42 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:39:42 - mmengine - INFO - Epoch(train) [79][680/940] lr: 1.0000e-03 eta: 3:04:11 time: 0.5421 data_time: 0.0266 memory: 31836 grad_norm: 5.2580 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8425 loss: 0.8425 2022/10/14 08:39:53 - mmengine - INFO - Epoch(train) [79][700/940] lr: 1.0000e-03 eta: 3:04:00 time: 0.5500 data_time: 0.0292 memory: 31836 grad_norm: 5.2995 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8740 loss: 0.8740 2022/10/14 08:40:04 - mmengine - INFO - Epoch(train) [79][720/940] lr: 1.0000e-03 eta: 3:03:49 time: 0.5472 data_time: 0.0270 memory: 31836 grad_norm: 5.3403 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8951 loss: 0.8951 2022/10/14 08:40:15 - mmengine - INFO - Epoch(train) [79][740/940] lr: 1.0000e-03 eta: 3:03:38 time: 0.5411 data_time: 0.0256 memory: 31836 grad_norm: 5.2950 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8870 loss: 0.8870 2022/10/14 08:40:26 - mmengine - INFO - Epoch(train) [79][760/940] lr: 1.0000e-03 eta: 3:03:27 time: 0.5490 data_time: 0.0266 memory: 31836 grad_norm: 5.0913 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9352 loss: 0.9352 2022/10/14 08:40:37 - mmengine - INFO - Epoch(train) [79][780/940] lr: 1.0000e-03 eta: 3:03:16 time: 0.5436 data_time: 0.0255 memory: 31836 grad_norm: 5.2411 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9364 loss: 0.9364 2022/10/14 08:40:48 - mmengine - INFO - Epoch(train) [79][800/940] lr: 1.0000e-03 eta: 3:03:04 time: 0.5452 data_time: 0.0299 memory: 31836 grad_norm: 5.2324 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8534 loss: 0.8534 2022/10/14 08:40:59 - mmengine - INFO - Epoch(train) [79][820/940] lr: 1.0000e-03 eta: 3:02:53 time: 0.5449 data_time: 0.0259 memory: 31836 grad_norm: 5.2396 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0461 loss: 1.0461 2022/10/14 08:41:10 - mmengine - INFO - Epoch(train) [79][840/940] lr: 1.0000e-03 eta: 3:02:42 time: 0.5448 data_time: 0.0267 memory: 31836 grad_norm: 5.0805 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9149 loss: 0.9149 2022/10/14 08:41:21 - mmengine - INFO - Epoch(train) [79][860/940] lr: 1.0000e-03 eta: 3:02:31 time: 0.5460 data_time: 0.0271 memory: 31836 grad_norm: 5.1131 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9783 loss: 0.9783 2022/10/14 08:41:31 - mmengine - INFO - Epoch(train) [79][880/940] lr: 1.0000e-03 eta: 3:02:20 time: 0.5461 data_time: 0.0257 memory: 31836 grad_norm: 5.1782 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8440 loss: 0.8440 2022/10/14 08:41:42 - mmengine - INFO - Epoch(train) [79][900/940] lr: 1.0000e-03 eta: 3:02:09 time: 0.5403 data_time: 0.0294 memory: 31836 grad_norm: 5.1973 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9230 loss: 0.9230 2022/10/14 08:41:53 - mmengine - INFO - Epoch(train) [79][920/940] lr: 1.0000e-03 eta: 3:01:58 time: 0.5457 data_time: 0.0339 memory: 31836 grad_norm: 5.1715 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9328 loss: 0.9328 2022/10/14 08:42:03 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:42:03 - mmengine - INFO - Epoch(train) [79][940/940] lr: 1.0000e-03 eta: 3:01:47 time: 0.5111 data_time: 0.0241 memory: 31836 grad_norm: 5.5217 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8427 loss: 0.8427 2022/10/14 08:42:17 - mmengine - INFO - Epoch(val) [79][20/78] eta: 0:00:38 time: 0.6645 data_time: 0.5128 memory: 3561 2022/10/14 08:42:25 - mmengine - INFO - Epoch(val) [79][40/78] eta: 0:00:16 time: 0.4346 data_time: 0.2861 memory: 3561 2022/10/14 08:42:36 - mmengine - INFO - Epoch(val) [79][60/78] eta: 0:00:09 time: 0.5462 data_time: 0.3974 memory: 3561 2022/10/14 08:42:46 - mmengine - INFO - Epoch(val) [79][78/78] acc/top1: 0.6896 acc/top5: 0.8781 acc/mean1: 0.6895 2022/10/14 08:43:02 - mmengine - INFO - Epoch(train) [80][20/940] lr: 1.0000e-03 eta: 3:01:37 time: 0.7698 data_time: 0.2430 memory: 31836 grad_norm: 5.1676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9697 loss: 0.9697 2022/10/14 08:43:13 - mmengine - INFO - Epoch(train) [80][40/940] lr: 1.0000e-03 eta: 3:01:26 time: 0.5542 data_time: 0.0263 memory: 31836 grad_norm: 5.0480 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9005 loss: 0.9005 2022/10/14 08:43:24 - mmengine - INFO - Epoch(train) [80][60/940] lr: 1.0000e-03 eta: 3:01:15 time: 0.5679 data_time: 0.0313 memory: 31836 grad_norm: 5.2180 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9354 loss: 0.9354 2022/10/14 08:43:35 - mmengine - INFO - Epoch(train) [80][80/940] lr: 1.0000e-03 eta: 3:01:04 time: 0.5591 data_time: 0.0232 memory: 31836 grad_norm: 5.2017 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9264 loss: 0.9264 2022/10/14 08:43:47 - mmengine - INFO - Epoch(train) [80][100/940] lr: 1.0000e-03 eta: 3:00:53 time: 0.5637 data_time: 0.0295 memory: 31836 grad_norm: 5.1820 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9694 loss: 0.9694 2022/10/14 08:43:57 - mmengine - INFO - Epoch(train) [80][120/940] lr: 1.0000e-03 eta: 3:00:42 time: 0.5488 data_time: 0.0259 memory: 31836 grad_norm: 5.1812 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8418 loss: 0.8418 2022/10/14 08:44:08 - mmengine - INFO - Epoch(train) [80][140/940] lr: 1.0000e-03 eta: 3:00:31 time: 0.5460 data_time: 0.0299 memory: 31836 grad_norm: 5.2411 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9972 loss: 0.9972 2022/10/14 08:44:19 - mmengine - INFO - Epoch(train) [80][160/940] lr: 1.0000e-03 eta: 3:00:19 time: 0.5376 data_time: 0.0252 memory: 31836 grad_norm: 5.3483 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9801 loss: 0.9801 2022/10/14 08:44:30 - mmengine - INFO - Epoch(train) [80][180/940] lr: 1.0000e-03 eta: 3:00:08 time: 0.5531 data_time: 0.0247 memory: 31836 grad_norm: 5.2925 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0738 loss: 1.0738 2022/10/14 08:44:41 - mmengine - INFO - Epoch(train) [80][200/940] lr: 1.0000e-03 eta: 2:59:57 time: 0.5426 data_time: 0.0231 memory: 31836 grad_norm: 5.0731 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8388 loss: 0.8388 2022/10/14 08:44:52 - mmengine - INFO - Epoch(train) [80][220/940] lr: 1.0000e-03 eta: 2:59:46 time: 0.5381 data_time: 0.0310 memory: 31836 grad_norm: 5.1960 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9484 loss: 0.9484 2022/10/14 08:45:03 - mmengine - INFO - Epoch(train) [80][240/940] lr: 1.0000e-03 eta: 2:59:35 time: 0.5429 data_time: 0.0237 memory: 31836 grad_norm: 5.4242 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0220 loss: 1.0220 2022/10/14 08:45:14 - mmengine - INFO - Epoch(train) [80][260/940] lr: 1.0000e-03 eta: 2:59:24 time: 0.5414 data_time: 0.0268 memory: 31836 grad_norm: 5.3195 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/10/14 08:45:24 - mmengine - INFO - Epoch(train) [80][280/940] lr: 1.0000e-03 eta: 2:59:13 time: 0.5431 data_time: 0.0260 memory: 31836 grad_norm: 5.2351 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7818 loss: 0.7818 2022/10/14 08:45:35 - mmengine - INFO - Epoch(train) [80][300/940] lr: 1.0000e-03 eta: 2:59:02 time: 0.5435 data_time: 0.0233 memory: 31836 grad_norm: 5.1659 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8487 loss: 0.8487 2022/10/14 08:45:46 - mmengine - INFO - Epoch(train) [80][320/940] lr: 1.0000e-03 eta: 2:58:51 time: 0.5479 data_time: 0.0255 memory: 31836 grad_norm: 5.1187 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/10/14 08:45:57 - mmengine - INFO - Epoch(train) [80][340/940] lr: 1.0000e-03 eta: 2:58:40 time: 0.5462 data_time: 0.0232 memory: 31836 grad_norm: 5.1186 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8598 loss: 0.8598 2022/10/14 08:46:08 - mmengine - INFO - Epoch(train) [80][360/940] lr: 1.0000e-03 eta: 2:58:28 time: 0.5446 data_time: 0.0322 memory: 31836 grad_norm: 5.2753 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8999 loss: 0.8999 2022/10/14 08:46:19 - mmengine - INFO - Epoch(train) [80][380/940] lr: 1.0000e-03 eta: 2:58:17 time: 0.5472 data_time: 0.0260 memory: 31836 grad_norm: 5.1333 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9119 loss: 0.9119 2022/10/14 08:46:30 - mmengine - INFO - Epoch(train) [80][400/940] lr: 1.0000e-03 eta: 2:58:06 time: 0.5486 data_time: 0.0291 memory: 31836 grad_norm: 5.2962 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/10/14 08:46:41 - mmengine - INFO - Epoch(train) [80][420/940] lr: 1.0000e-03 eta: 2:57:55 time: 0.5373 data_time: 0.0274 memory: 31836 grad_norm: 5.1667 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8970 loss: 0.8970 2022/10/14 08:46:52 - mmengine - INFO - Epoch(train) [80][440/940] lr: 1.0000e-03 eta: 2:57:44 time: 0.5422 data_time: 0.0290 memory: 31836 grad_norm: 5.1726 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9153 loss: 0.9153 2022/10/14 08:47:03 - mmengine - INFO - Epoch(train) [80][460/940] lr: 1.0000e-03 eta: 2:57:33 time: 0.5471 data_time: 0.0256 memory: 31836 grad_norm: 5.2064 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/10/14 08:47:13 - mmengine - INFO - Epoch(train) [80][480/940] lr: 1.0000e-03 eta: 2:57:22 time: 0.5454 data_time: 0.0252 memory: 31836 grad_norm: 5.1963 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9468 loss: 0.9468 2022/10/14 08:47:24 - mmengine - INFO - Epoch(train) [80][500/940] lr: 1.0000e-03 eta: 2:57:11 time: 0.5420 data_time: 0.0252 memory: 31836 grad_norm: 5.3049 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/10/14 08:47:35 - mmengine - INFO - Epoch(train) [80][520/940] lr: 1.0000e-03 eta: 2:57:00 time: 0.5388 data_time: 0.0281 memory: 31836 grad_norm: 5.1878 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9966 loss: 0.9966 2022/10/14 08:47:46 - mmengine - INFO - Epoch(train) [80][540/940] lr: 1.0000e-03 eta: 2:56:49 time: 0.5427 data_time: 0.0245 memory: 31836 grad_norm: 5.3607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9173 loss: 0.9173 2022/10/14 08:47:57 - mmengine - INFO - Epoch(train) [80][560/940] lr: 1.0000e-03 eta: 2:56:37 time: 0.5426 data_time: 0.0227 memory: 31836 grad_norm: 5.2260 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9208 loss: 0.9208 2022/10/14 08:48:08 - mmengine - INFO - Epoch(train) [80][580/940] lr: 1.0000e-03 eta: 2:56:26 time: 0.5443 data_time: 0.0241 memory: 31836 grad_norm: 5.2332 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9195 loss: 0.9195 2022/10/14 08:48:19 - mmengine - INFO - Epoch(train) [80][600/940] lr: 1.0000e-03 eta: 2:56:15 time: 0.5455 data_time: 0.0312 memory: 31836 grad_norm: 5.3012 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8417 loss: 0.8417 2022/10/14 08:48:29 - mmengine - INFO - Epoch(train) [80][620/940] lr: 1.0000e-03 eta: 2:56:04 time: 0.5467 data_time: 0.0255 memory: 31836 grad_norm: 5.3399 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/10/14 08:48:40 - mmengine - INFO - Epoch(train) [80][640/940] lr: 1.0000e-03 eta: 2:55:53 time: 0.5480 data_time: 0.0281 memory: 31836 grad_norm: 5.3744 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7916 loss: 0.7916 2022/10/14 08:48:51 - mmengine - INFO - Epoch(train) [80][660/940] lr: 1.0000e-03 eta: 2:55:42 time: 0.5452 data_time: 0.0235 memory: 31836 grad_norm: 5.4417 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9386 loss: 0.9386 2022/10/14 08:49:02 - mmengine - INFO - Epoch(train) [80][680/940] lr: 1.0000e-03 eta: 2:55:31 time: 0.5411 data_time: 0.0259 memory: 31836 grad_norm: 5.2524 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0376 loss: 1.0376 2022/10/14 08:49:13 - mmengine - INFO - Epoch(train) [80][700/940] lr: 1.0000e-03 eta: 2:55:20 time: 0.5462 data_time: 0.0276 memory: 31836 grad_norm: 5.2562 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0089 loss: 1.0089 2022/10/14 08:49:24 - mmengine - INFO - Epoch(train) [80][720/940] lr: 1.0000e-03 eta: 2:55:09 time: 0.5461 data_time: 0.0241 memory: 31836 grad_norm: 5.4219 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9987 loss: 0.9987 2022/10/14 08:49:35 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:49:35 - mmengine - INFO - Epoch(train) [80][740/940] lr: 1.0000e-03 eta: 2:54:58 time: 0.5467 data_time: 0.0262 memory: 31836 grad_norm: 5.2164 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9962 loss: 0.9962 2022/10/14 08:49:46 - mmengine - INFO - Epoch(train) [80][760/940] lr: 1.0000e-03 eta: 2:54:47 time: 0.5490 data_time: 0.0274 memory: 31836 grad_norm: 5.2714 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7906 loss: 0.7906 2022/10/14 08:49:57 - mmengine - INFO - Epoch(train) [80][780/940] lr: 1.0000e-03 eta: 2:54:35 time: 0.5441 data_time: 0.0245 memory: 31836 grad_norm: 5.2602 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9697 loss: 0.9697 2022/10/14 08:50:08 - mmengine - INFO - Epoch(train) [80][800/940] lr: 1.0000e-03 eta: 2:54:24 time: 0.5510 data_time: 0.0366 memory: 31836 grad_norm: 5.2911 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9890 loss: 0.9890 2022/10/14 08:50:19 - mmengine - INFO - Epoch(train) [80][820/940] lr: 1.0000e-03 eta: 2:54:13 time: 0.5441 data_time: 0.0269 memory: 31836 grad_norm: 5.2812 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9120 loss: 0.9120 2022/10/14 08:50:30 - mmengine - INFO - Epoch(train) [80][840/940] lr: 1.0000e-03 eta: 2:54:02 time: 0.5458 data_time: 0.0257 memory: 31836 grad_norm: 5.4079 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1008 loss: 1.1008 2022/10/14 08:50:41 - mmengine - INFO - Epoch(train) [80][860/940] lr: 1.0000e-03 eta: 2:53:51 time: 0.5504 data_time: 0.0253 memory: 31836 grad_norm: 5.1790 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9185 loss: 0.9185 2022/10/14 08:50:52 - mmengine - INFO - Epoch(train) [80][880/940] lr: 1.0000e-03 eta: 2:53:40 time: 0.5438 data_time: 0.0246 memory: 31836 grad_norm: 5.1438 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/10/14 08:51:03 - mmengine - INFO - Epoch(train) [80][900/940] lr: 1.0000e-03 eta: 2:53:29 time: 0.5514 data_time: 0.0302 memory: 31836 grad_norm: 5.1925 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9849 loss: 0.9849 2022/10/14 08:51:13 - mmengine - INFO - Epoch(train) [80][920/940] lr: 1.0000e-03 eta: 2:53:18 time: 0.5444 data_time: 0.0271 memory: 31836 grad_norm: 5.2323 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9154 loss: 0.9154 2022/10/14 08:51:24 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:51:24 - mmengine - INFO - Epoch(train) [80][940/940] lr: 1.0000e-03 eta: 2:53:07 time: 0.5092 data_time: 0.0226 memory: 31836 grad_norm: 5.6140 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8663 loss: 0.8663 2022/10/14 08:51:36 - mmengine - INFO - Epoch(val) [80][20/78] eta: 0:00:36 time: 0.6214 data_time: 0.4712 memory: 3561 2022/10/14 08:51:45 - mmengine - INFO - Epoch(val) [80][40/78] eta: 0:00:16 time: 0.4334 data_time: 0.2833 memory: 3561 2022/10/14 08:51:56 - mmengine - INFO - Epoch(val) [80][60/78] eta: 0:00:10 time: 0.5710 data_time: 0.4226 memory: 3561 2022/10/14 08:52:06 - mmengine - INFO - Epoch(val) [80][78/78] acc/top1: 0.6882 acc/top5: 0.8780 acc/mean1: 0.6881 2022/10/14 08:52:21 - mmengine - INFO - Epoch(train) [81][20/940] lr: 1.0000e-04 eta: 2:52:57 time: 0.7576 data_time: 0.2083 memory: 31836 grad_norm: 5.1758 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9086 loss: 0.9086 2022/10/14 08:52:33 - mmengine - INFO - Epoch(train) [81][40/940] lr: 1.0000e-04 eta: 2:52:46 time: 0.5568 data_time: 0.0272 memory: 31836 grad_norm: 5.1828 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9090 loss: 0.9090 2022/10/14 08:52:44 - mmengine - INFO - Epoch(train) [81][60/940] lr: 1.0000e-04 eta: 2:52:35 time: 0.5570 data_time: 0.0311 memory: 31836 grad_norm: 5.3007 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9242 loss: 0.9242 2022/10/14 08:52:55 - mmengine - INFO - Epoch(train) [81][80/940] lr: 1.0000e-04 eta: 2:52:24 time: 0.5541 data_time: 0.0319 memory: 31836 grad_norm: 5.1982 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/10/14 08:53:06 - mmengine - INFO - Epoch(train) [81][100/940] lr: 1.0000e-04 eta: 2:52:12 time: 0.5496 data_time: 0.0288 memory: 31836 grad_norm: 5.1776 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9649 loss: 0.9649 2022/10/14 08:53:17 - mmengine - INFO - Epoch(train) [81][120/940] lr: 1.0000e-04 eta: 2:52:01 time: 0.5406 data_time: 0.0294 memory: 31836 grad_norm: 5.1752 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8619 loss: 0.8619 2022/10/14 08:53:28 - mmengine - INFO - Epoch(train) [81][140/940] lr: 1.0000e-04 eta: 2:51:50 time: 0.5448 data_time: 0.0243 memory: 31836 grad_norm: 5.1785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8674 loss: 0.8674 2022/10/14 08:53:38 - mmengine - INFO - Epoch(train) [81][160/940] lr: 1.0000e-04 eta: 2:51:39 time: 0.5406 data_time: 0.0280 memory: 31836 grad_norm: 5.1423 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9573 loss: 0.9573 2022/10/14 08:54:09 - mmengine - INFO - Epoch(train) [81][180/940] lr: 1.0000e-04 eta: 2:51:33 time: 1.5217 data_time: 0.0305 memory: 31836 grad_norm: 5.1565 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8926 loss: 0.8926 2022/10/14 08:54:20 - mmengine - INFO - Epoch(train) [81][200/940] lr: 1.0000e-04 eta: 2:51:22 time: 0.5514 data_time: 0.0268 memory: 31836 grad_norm: 5.2364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/10/14 08:54:31 - mmengine - INFO - Epoch(train) [81][220/940] lr: 1.0000e-04 eta: 2:51:11 time: 0.5478 data_time: 0.0279 memory: 31836 grad_norm: 5.1375 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8234 loss: 0.8234 2022/10/14 08:54:42 - mmengine - INFO - Epoch(train) [81][240/940] lr: 1.0000e-04 eta: 2:51:00 time: 0.5446 data_time: 0.0269 memory: 31836 grad_norm: 5.1618 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/10/14 08:54:53 - mmengine - INFO - Epoch(train) [81][260/940] lr: 1.0000e-04 eta: 2:50:49 time: 0.5487 data_time: 0.0249 memory: 31836 grad_norm: 5.1196 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8700 loss: 0.8700 2022/10/14 08:55:04 - mmengine - INFO - Epoch(train) [81][280/940] lr: 1.0000e-04 eta: 2:50:38 time: 0.5430 data_time: 0.0243 memory: 31836 grad_norm: 5.1693 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8432 loss: 0.8432 2022/10/14 08:55:14 - mmengine - INFO - Epoch(train) [81][300/940] lr: 1.0000e-04 eta: 2:50:26 time: 0.5438 data_time: 0.0266 memory: 31836 grad_norm: 5.0855 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8835 loss: 0.8835 2022/10/14 08:55:25 - mmengine - INFO - Epoch(train) [81][320/940] lr: 1.0000e-04 eta: 2:50:15 time: 0.5428 data_time: 0.0293 memory: 31836 grad_norm: 5.2176 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9558 loss: 0.9558 2022/10/14 08:55:36 - mmengine - INFO - Epoch(train) [81][340/940] lr: 1.0000e-04 eta: 2:50:04 time: 0.5462 data_time: 0.0274 memory: 31836 grad_norm: 5.2074 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/10/14 08:55:47 - mmengine - INFO - Epoch(train) [81][360/940] lr: 1.0000e-04 eta: 2:49:53 time: 0.5477 data_time: 0.0265 memory: 31836 grad_norm: 5.1954 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8423 loss: 0.8423 2022/10/14 08:55:58 - mmengine - INFO - Epoch(train) [81][380/940] lr: 1.0000e-04 eta: 2:49:42 time: 0.5535 data_time: 0.0297 memory: 31836 grad_norm: 5.2448 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9171 loss: 0.9171 2022/10/14 08:56:09 - mmengine - INFO - Epoch(train) [81][400/940] lr: 1.0000e-04 eta: 2:49:31 time: 0.5459 data_time: 0.0280 memory: 31836 grad_norm: 5.1516 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8585 loss: 0.8585 2022/10/14 08:56:20 - mmengine - INFO - Epoch(train) [81][420/940] lr: 1.0000e-04 eta: 2:49:20 time: 0.5435 data_time: 0.0231 memory: 31836 grad_norm: 5.0798 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8697 loss: 0.8697 2022/10/14 08:56:31 - mmengine - INFO - Epoch(train) [81][440/940] lr: 1.0000e-04 eta: 2:49:09 time: 0.5414 data_time: 0.0255 memory: 31836 grad_norm: 5.1757 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9057 loss: 0.9057 2022/10/14 08:56:42 - mmengine - INFO - Epoch(train) [81][460/940] lr: 1.0000e-04 eta: 2:48:58 time: 0.5451 data_time: 0.0314 memory: 31836 grad_norm: 5.1913 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9935 loss: 0.9935 2022/10/14 08:56:53 - mmengine - INFO - Epoch(train) [81][480/940] lr: 1.0000e-04 eta: 2:48:47 time: 0.5386 data_time: 0.0269 memory: 31836 grad_norm: 4.9956 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8608 loss: 0.8608 2022/10/14 08:57:03 - mmengine - INFO - Epoch(train) [81][500/940] lr: 1.0000e-04 eta: 2:48:35 time: 0.5424 data_time: 0.0337 memory: 31836 grad_norm: 5.1473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/10/14 08:57:14 - mmengine - INFO - Epoch(train) [81][520/940] lr: 1.0000e-04 eta: 2:48:24 time: 0.5411 data_time: 0.0247 memory: 31836 grad_norm: 5.1861 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9196 loss: 0.9196 2022/10/14 08:57:25 - mmengine - INFO - Epoch(train) [81][540/940] lr: 1.0000e-04 eta: 2:48:13 time: 0.5402 data_time: 0.0259 memory: 31836 grad_norm: 5.1972 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/10/14 08:57:36 - mmengine - INFO - Epoch(train) [81][560/940] lr: 1.0000e-04 eta: 2:48:02 time: 0.5425 data_time: 0.0262 memory: 31836 grad_norm: 5.3321 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9353 loss: 0.9353 2022/10/14 08:57:47 - mmengine - INFO - Epoch(train) [81][580/940] lr: 1.0000e-04 eta: 2:47:51 time: 0.5522 data_time: 0.0277 memory: 31836 grad_norm: 5.1604 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8959 loss: 0.8959 2022/10/14 08:57:58 - mmengine - INFO - Epoch(train) [81][600/940] lr: 1.0000e-04 eta: 2:47:40 time: 0.5381 data_time: 0.0305 memory: 31836 grad_norm: 5.2018 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9136 loss: 0.9136 2022/10/14 08:58:09 - mmengine - INFO - Epoch(train) [81][620/940] lr: 1.0000e-04 eta: 2:47:29 time: 0.5457 data_time: 0.0283 memory: 31836 grad_norm: 5.2120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9272 loss: 0.9272 2022/10/14 08:58:20 - mmengine - INFO - Epoch(train) [81][640/940] lr: 1.0000e-04 eta: 2:47:18 time: 0.5457 data_time: 0.0320 memory: 31836 grad_norm: 5.3026 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9274 loss: 0.9274 2022/10/14 08:58:30 - mmengine - INFO - Epoch(train) [81][660/940] lr: 1.0000e-04 eta: 2:47:07 time: 0.5480 data_time: 0.0272 memory: 31836 grad_norm: 5.0719 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9329 loss: 0.9329 2022/10/14 08:58:41 - mmengine - INFO - Epoch(train) [81][680/940] lr: 1.0000e-04 eta: 2:46:56 time: 0.5447 data_time: 0.0326 memory: 31836 grad_norm: 5.2131 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0019 loss: 1.0019 2022/10/14 08:58:52 - mmengine - INFO - Epoch(train) [81][700/940] lr: 1.0000e-04 eta: 2:46:44 time: 0.5382 data_time: 0.0243 memory: 31836 grad_norm: 5.1788 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8623 loss: 0.8623 2022/10/14 08:59:03 - mmengine - INFO - Epoch(train) [81][720/940] lr: 1.0000e-04 eta: 2:46:33 time: 0.5428 data_time: 0.0288 memory: 31836 grad_norm: 5.0416 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8834 loss: 0.8834 2022/10/14 08:59:14 - mmengine - INFO - Epoch(train) [81][740/940] lr: 1.0000e-04 eta: 2:46:22 time: 0.5376 data_time: 0.0281 memory: 31836 grad_norm: 5.0843 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8211 loss: 0.8211 2022/10/14 08:59:25 - mmengine - INFO - Epoch(train) [81][760/940] lr: 1.0000e-04 eta: 2:46:11 time: 0.5420 data_time: 0.0250 memory: 31836 grad_norm: 5.2309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9991 loss: 0.9991 2022/10/14 08:59:36 - mmengine - INFO - Epoch(train) [81][780/940] lr: 1.0000e-04 eta: 2:46:00 time: 0.5508 data_time: 0.0340 memory: 31836 grad_norm: 5.0709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9615 loss: 0.9615 2022/10/14 08:59:46 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 08:59:46 - mmengine - INFO - Epoch(train) [81][800/940] lr: 1.0000e-04 eta: 2:45:49 time: 0.5439 data_time: 0.0236 memory: 31836 grad_norm: 5.2408 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9878 loss: 0.9878 2022/10/14 08:59:58 - mmengine - INFO - Epoch(train) [81][820/940] lr: 1.0000e-04 eta: 2:45:38 time: 0.5508 data_time: 0.0251 memory: 31836 grad_norm: 4.9771 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9731 loss: 0.9731 2022/10/14 09:00:08 - mmengine - INFO - Epoch(train) [81][840/940] lr: 1.0000e-04 eta: 2:45:27 time: 0.5491 data_time: 0.0278 memory: 31836 grad_norm: 5.1407 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0202 loss: 1.0202 2022/10/14 09:00:19 - mmengine - INFO - Epoch(train) [81][860/940] lr: 1.0000e-04 eta: 2:45:16 time: 0.5435 data_time: 0.0238 memory: 31836 grad_norm: 5.1200 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9440 loss: 0.9440 2022/10/14 09:00:30 - mmengine - INFO - Epoch(train) [81][880/940] lr: 1.0000e-04 eta: 2:45:05 time: 0.5444 data_time: 0.0322 memory: 31836 grad_norm: 5.0964 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0280 loss: 1.0280 2022/10/14 09:00:41 - mmengine - INFO - Epoch(train) [81][900/940] lr: 1.0000e-04 eta: 2:44:54 time: 0.5471 data_time: 0.0285 memory: 31836 grad_norm: 5.2145 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8876 loss: 0.8876 2022/10/14 09:00:52 - mmengine - INFO - Epoch(train) [81][920/940] lr: 1.0000e-04 eta: 2:44:42 time: 0.5433 data_time: 0.0386 memory: 31836 grad_norm: 5.0224 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/10/14 09:01:02 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:01:02 - mmengine - INFO - Epoch(train) [81][940/940] lr: 1.0000e-04 eta: 2:44:31 time: 0.5090 data_time: 0.0212 memory: 31836 grad_norm: 5.4792 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9685 loss: 0.9685 2022/10/14 09:01:02 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/10/14 09:01:16 - mmengine - INFO - Epoch(val) [81][20/78] eta: 0:00:36 time: 0.6223 data_time: 0.4741 memory: 3561 2022/10/14 09:01:25 - mmengine - INFO - Epoch(val) [81][40/78] eta: 0:00:16 time: 0.4250 data_time: 0.2771 memory: 3561 2022/10/14 09:01:36 - mmengine - INFO - Epoch(val) [81][60/78] eta: 0:00:10 time: 0.5826 data_time: 0.4338 memory: 3561 2022/10/14 09:01:46 - mmengine - INFO - Epoch(val) [81][78/78] acc/top1: 0.6910 acc/top5: 0.8796 acc/mean1: 0.6909 2022/10/14 09:02:02 - mmengine - INFO - Epoch(train) [82][20/940] lr: 1.0000e-04 eta: 2:44:21 time: 0.7917 data_time: 0.2132 memory: 31836 grad_norm: 5.2329 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9189 loss: 0.9189 2022/10/14 09:02:13 - mmengine - INFO - Epoch(train) [82][40/940] lr: 1.0000e-04 eta: 2:44:10 time: 0.5494 data_time: 0.0307 memory: 31836 grad_norm: 5.2523 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0084 loss: 1.0084 2022/10/14 09:02:24 - mmengine - INFO - Epoch(train) [82][60/940] lr: 1.0000e-04 eta: 2:43:59 time: 0.5572 data_time: 0.0319 memory: 31836 grad_norm: 5.2617 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9495 loss: 0.9495 2022/10/14 09:02:35 - mmengine - INFO - Epoch(train) [82][80/940] lr: 1.0000e-04 eta: 2:43:48 time: 0.5507 data_time: 0.0289 memory: 31836 grad_norm: 5.2056 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/10/14 09:02:46 - mmengine - INFO - Epoch(train) [82][100/940] lr: 1.0000e-04 eta: 2:43:37 time: 0.5476 data_time: 0.0250 memory: 31836 grad_norm: 5.0849 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/10/14 09:02:57 - mmengine - INFO - Epoch(train) [82][120/940] lr: 1.0000e-04 eta: 2:43:26 time: 0.5521 data_time: 0.0407 memory: 31836 grad_norm: 5.3125 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9656 loss: 0.9656 2022/10/14 09:03:08 - mmengine - INFO - Epoch(train) [82][140/940] lr: 1.0000e-04 eta: 2:43:15 time: 0.5429 data_time: 0.0251 memory: 31836 grad_norm: 5.2628 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9058 loss: 0.9058 2022/10/14 09:03:19 - mmengine - INFO - Epoch(train) [82][160/940] lr: 1.0000e-04 eta: 2:43:04 time: 0.5423 data_time: 0.0260 memory: 31836 grad_norm: 5.1828 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8652 loss: 0.8652 2022/10/14 09:03:30 - mmengine - INFO - Epoch(train) [82][180/940] lr: 1.0000e-04 eta: 2:42:53 time: 0.5452 data_time: 0.0270 memory: 31836 grad_norm: 5.2324 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9544 loss: 0.9544 2022/10/14 09:03:41 - mmengine - INFO - Epoch(train) [82][200/940] lr: 1.0000e-04 eta: 2:42:42 time: 0.5374 data_time: 0.0234 memory: 31836 grad_norm: 5.2599 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0262 loss: 1.0262 2022/10/14 09:03:52 - mmengine - INFO - Epoch(train) [82][220/940] lr: 1.0000e-04 eta: 2:42:30 time: 0.5448 data_time: 0.0343 memory: 31836 grad_norm: 5.1865 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8424 loss: 0.8424 2022/10/14 09:04:02 - mmengine - INFO - Epoch(train) [82][240/940] lr: 1.0000e-04 eta: 2:42:19 time: 0.5469 data_time: 0.0326 memory: 31836 grad_norm: 5.0990 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9407 loss: 0.9407 2022/10/14 09:04:13 - mmengine - INFO - Epoch(train) [82][260/940] lr: 1.0000e-04 eta: 2:42:08 time: 0.5489 data_time: 0.0287 memory: 31836 grad_norm: 5.1385 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/10/14 09:04:25 - mmengine - INFO - Epoch(train) [82][280/940] lr: 1.0000e-04 eta: 2:41:57 time: 0.5521 data_time: 0.0291 memory: 31836 grad_norm: 5.2961 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9220 loss: 0.9220 2022/10/14 09:04:35 - mmengine - INFO - Epoch(train) [82][300/940] lr: 1.0000e-04 eta: 2:41:46 time: 0.5466 data_time: 0.0247 memory: 31836 grad_norm: 5.2783 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8775 loss: 0.8775 2022/10/14 09:04:46 - mmengine - INFO - Epoch(train) [82][320/940] lr: 1.0000e-04 eta: 2:41:35 time: 0.5444 data_time: 0.0319 memory: 31836 grad_norm: 5.2344 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9741 loss: 0.9741 2022/10/14 09:04:57 - mmengine - INFO - Epoch(train) [82][340/940] lr: 1.0000e-04 eta: 2:41:24 time: 0.5424 data_time: 0.0274 memory: 31836 grad_norm: 5.0065 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/10/14 09:05:08 - mmengine - INFO - Epoch(train) [82][360/940] lr: 1.0000e-04 eta: 2:41:13 time: 0.5487 data_time: 0.0229 memory: 31836 grad_norm: 5.2559 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8277 loss: 0.8277 2022/10/14 09:05:19 - mmengine - INFO - Epoch(train) [82][380/940] lr: 1.0000e-04 eta: 2:41:02 time: 0.5553 data_time: 0.0296 memory: 31836 grad_norm: 5.1342 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8894 loss: 0.8894 2022/10/14 09:05:30 - mmengine - INFO - Epoch(train) [82][400/940] lr: 1.0000e-04 eta: 2:40:51 time: 0.5384 data_time: 0.0238 memory: 31836 grad_norm: 5.1324 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0273 loss: 1.0273 2022/10/14 09:05:41 - mmengine - INFO - Epoch(train) [82][420/940] lr: 1.0000e-04 eta: 2:40:40 time: 0.5407 data_time: 0.0282 memory: 31836 grad_norm: 5.3372 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9776 loss: 0.9776 2022/10/14 09:05:52 - mmengine - INFO - Epoch(train) [82][440/940] lr: 1.0000e-04 eta: 2:40:28 time: 0.5448 data_time: 0.0273 memory: 31836 grad_norm: 5.1355 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9207 loss: 0.9207 2022/10/14 09:06:03 - mmengine - INFO - Epoch(train) [82][460/940] lr: 1.0000e-04 eta: 2:40:17 time: 0.5476 data_time: 0.0256 memory: 31836 grad_norm: 5.3228 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8633 loss: 0.8633 2022/10/14 09:06:14 - mmengine - INFO - Epoch(train) [82][480/940] lr: 1.0000e-04 eta: 2:40:06 time: 0.5454 data_time: 0.0288 memory: 31836 grad_norm: 5.2545 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8286 loss: 0.8286 2022/10/14 09:06:24 - mmengine - INFO - Epoch(train) [82][500/940] lr: 1.0000e-04 eta: 2:39:55 time: 0.5423 data_time: 0.0270 memory: 31836 grad_norm: 5.2855 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8604 loss: 0.8604 2022/10/14 09:06:35 - mmengine - INFO - Epoch(train) [82][520/940] lr: 1.0000e-04 eta: 2:39:44 time: 0.5496 data_time: 0.0250 memory: 31836 grad_norm: 5.1812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9071 loss: 0.9071 2022/10/14 09:06:46 - mmengine - INFO - Epoch(train) [82][540/940] lr: 1.0000e-04 eta: 2:39:33 time: 0.5505 data_time: 0.0304 memory: 31836 grad_norm: 5.2396 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0042 loss: 1.0042 2022/10/14 09:06:57 - mmengine - INFO - Epoch(train) [82][560/940] lr: 1.0000e-04 eta: 2:39:22 time: 0.5432 data_time: 0.0241 memory: 31836 grad_norm: 5.4217 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0383 loss: 1.0383 2022/10/14 09:07:08 - mmengine - INFO - Epoch(train) [82][580/940] lr: 1.0000e-04 eta: 2:39:11 time: 0.5446 data_time: 0.0266 memory: 31836 grad_norm: 4.9948 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8089 loss: 0.8089 2022/10/14 09:07:19 - mmengine - INFO - Epoch(train) [82][600/940] lr: 1.0000e-04 eta: 2:39:00 time: 0.5457 data_time: 0.0295 memory: 31836 grad_norm: 5.0877 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9610 loss: 0.9610 2022/10/14 09:07:30 - mmengine - INFO - Epoch(train) [82][620/940] lr: 1.0000e-04 eta: 2:38:49 time: 0.5470 data_time: 0.0322 memory: 31836 grad_norm: 5.1013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8877 loss: 0.8877 2022/10/14 09:07:41 - mmengine - INFO - Epoch(train) [82][640/940] lr: 1.0000e-04 eta: 2:38:38 time: 0.5522 data_time: 0.0270 memory: 31836 grad_norm: 5.3222 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9369 loss: 0.9369 2022/10/14 09:07:52 - mmengine - INFO - Epoch(train) [82][660/940] lr: 1.0000e-04 eta: 2:38:27 time: 0.5473 data_time: 0.0243 memory: 31836 grad_norm: 5.1248 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8839 loss: 0.8839 2022/10/14 09:08:03 - mmengine - INFO - Epoch(train) [82][680/940] lr: 1.0000e-04 eta: 2:38:16 time: 0.5445 data_time: 0.0238 memory: 31836 grad_norm: 5.0757 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9235 loss: 0.9235 2022/10/14 09:08:14 - mmengine - INFO - Epoch(train) [82][700/940] lr: 1.0000e-04 eta: 2:38:04 time: 0.5491 data_time: 0.0274 memory: 31836 grad_norm: 5.0937 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9298 loss: 0.9298 2022/10/14 09:08:25 - mmengine - INFO - Epoch(train) [82][720/940] lr: 1.0000e-04 eta: 2:37:53 time: 0.5459 data_time: 0.0306 memory: 31836 grad_norm: 5.1624 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9233 loss: 0.9233 2022/10/14 09:08:36 - mmengine - INFO - Epoch(train) [82][740/940] lr: 1.0000e-04 eta: 2:37:42 time: 0.5482 data_time: 0.0256 memory: 31836 grad_norm: 5.1525 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8455 loss: 0.8455 2022/10/14 09:08:47 - mmengine - INFO - Epoch(train) [82][760/940] lr: 1.0000e-04 eta: 2:37:31 time: 0.5494 data_time: 0.0244 memory: 31836 grad_norm: 5.1906 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9431 loss: 0.9431 2022/10/14 09:08:58 - mmengine - INFO - Epoch(train) [82][780/940] lr: 1.0000e-04 eta: 2:37:20 time: 0.5523 data_time: 0.0271 memory: 31836 grad_norm: 5.1756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9476 loss: 0.9476 2022/10/14 09:09:09 - mmengine - INFO - Epoch(train) [82][800/940] lr: 1.0000e-04 eta: 2:37:09 time: 0.5438 data_time: 0.0267 memory: 31836 grad_norm: 5.1220 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8949 loss: 0.8949 2022/10/14 09:09:20 - mmengine - INFO - Epoch(train) [82][820/940] lr: 1.0000e-04 eta: 2:36:58 time: 0.5465 data_time: 0.0241 memory: 31836 grad_norm: 5.3237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9142 loss: 0.9142 2022/10/14 09:09:31 - mmengine - INFO - Epoch(train) [82][840/940] lr: 1.0000e-04 eta: 2:36:47 time: 0.5410 data_time: 0.0312 memory: 31836 grad_norm: 5.2204 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8436 loss: 0.8436 2022/10/14 09:09:41 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:09:41 - mmengine - INFO - Epoch(train) [82][860/940] lr: 1.0000e-04 eta: 2:36:36 time: 0.5424 data_time: 0.0255 memory: 31836 grad_norm: 5.0775 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9199 loss: 0.9199 2022/10/14 09:09:52 - mmengine - INFO - Epoch(train) [82][880/940] lr: 1.0000e-04 eta: 2:36:25 time: 0.5379 data_time: 0.0229 memory: 31836 grad_norm: 5.2905 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8873 loss: 0.8873 2022/10/14 09:10:03 - mmengine - INFO - Epoch(train) [82][900/940] lr: 1.0000e-04 eta: 2:36:14 time: 0.5463 data_time: 0.0261 memory: 31836 grad_norm: 5.3506 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9522 loss: 0.9522 2022/10/14 09:10:14 - mmengine - INFO - Epoch(train) [82][920/940] lr: 1.0000e-04 eta: 2:36:02 time: 0.5486 data_time: 0.0352 memory: 31836 grad_norm: 5.1372 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8859 loss: 0.8859 2022/10/14 09:10:24 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:10:24 - mmengine - INFO - Epoch(train) [82][940/940] lr: 1.0000e-04 eta: 2:35:51 time: 0.5192 data_time: 0.0243 memory: 31836 grad_norm: 5.4649 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9394 loss: 0.9394 2022/10/14 09:10:37 - mmengine - INFO - Epoch(val) [82][20/78] eta: 0:00:37 time: 0.6466 data_time: 0.4945 memory: 3561 2022/10/14 09:10:46 - mmengine - INFO - Epoch(val) [82][40/78] eta: 0:00:17 time: 0.4542 data_time: 0.3026 memory: 3561 2022/10/14 09:10:57 - mmengine - INFO - Epoch(val) [82][60/78] eta: 0:00:09 time: 0.5367 data_time: 0.3876 memory: 3561 2022/10/14 09:11:08 - mmengine - INFO - Epoch(val) [82][78/78] acc/top1: 0.6899 acc/top5: 0.8813 acc/mean1: 0.6898 2022/10/14 09:11:23 - mmengine - INFO - Epoch(train) [83][20/940] lr: 1.0000e-04 eta: 2:35:41 time: 0.7590 data_time: 0.2054 memory: 31836 grad_norm: 5.1609 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9810 loss: 0.9810 2022/10/14 09:11:34 - mmengine - INFO - Epoch(train) [83][40/940] lr: 1.0000e-04 eta: 2:35:30 time: 0.5493 data_time: 0.0310 memory: 31836 grad_norm: 5.2259 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9675 loss: 0.9675 2022/10/14 09:11:45 - mmengine - INFO - Epoch(train) [83][60/940] lr: 1.0000e-04 eta: 2:35:19 time: 0.5645 data_time: 0.0299 memory: 31836 grad_norm: 5.1610 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8286 loss: 0.8286 2022/10/14 09:11:56 - mmengine - INFO - Epoch(train) [83][80/940] lr: 1.0000e-04 eta: 2:35:08 time: 0.5526 data_time: 0.0258 memory: 31836 grad_norm: 5.1585 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8301 loss: 0.8301 2022/10/14 09:12:07 - mmengine - INFO - Epoch(train) [83][100/940] lr: 1.0000e-04 eta: 2:34:57 time: 0.5448 data_time: 0.0270 memory: 31836 grad_norm: 5.3039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9916 loss: 0.9916 2022/10/14 09:12:18 - mmengine - INFO - Epoch(train) [83][120/940] lr: 1.0000e-04 eta: 2:34:46 time: 0.5388 data_time: 0.0261 memory: 31836 grad_norm: 5.3497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9042 loss: 0.9042 2022/10/14 09:12:29 - mmengine - INFO - Epoch(train) [83][140/940] lr: 1.0000e-04 eta: 2:34:35 time: 0.5445 data_time: 0.0283 memory: 31836 grad_norm: 5.3367 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9973 loss: 0.9973 2022/10/14 09:12:40 - mmengine - INFO - Epoch(train) [83][160/940] lr: 1.0000e-04 eta: 2:34:24 time: 0.5391 data_time: 0.0313 memory: 31836 grad_norm: 5.1507 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8384 loss: 0.8384 2022/10/14 09:12:50 - mmengine - INFO - Epoch(train) [83][180/940] lr: 1.0000e-04 eta: 2:34:12 time: 0.5402 data_time: 0.0264 memory: 31836 grad_norm: 5.3154 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8779 loss: 0.8779 2022/10/14 09:13:01 - mmengine - INFO - Epoch(train) [83][200/940] lr: 1.0000e-04 eta: 2:34:01 time: 0.5451 data_time: 0.0254 memory: 31836 grad_norm: 5.1769 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/10/14 09:13:12 - mmengine - INFO - Epoch(train) [83][220/940] lr: 1.0000e-04 eta: 2:33:50 time: 0.5442 data_time: 0.0324 memory: 31836 grad_norm: 5.1472 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9152 loss: 0.9152 2022/10/14 09:13:23 - mmengine - INFO - Epoch(train) [83][240/940] lr: 1.0000e-04 eta: 2:33:39 time: 0.5431 data_time: 0.0241 memory: 31836 grad_norm: 5.1200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9344 loss: 0.9344 2022/10/14 09:13:34 - mmengine - INFO - Epoch(train) [83][260/940] lr: 1.0000e-04 eta: 2:33:28 time: 0.5550 data_time: 0.0298 memory: 31836 grad_norm: 5.2070 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8635 loss: 0.8635 2022/10/14 09:13:45 - mmengine - INFO - Epoch(train) [83][280/940] lr: 1.0000e-04 eta: 2:33:17 time: 0.5349 data_time: 0.0268 memory: 31836 grad_norm: 5.2778 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/10/14 09:13:56 - mmengine - INFO - Epoch(train) [83][300/940] lr: 1.0000e-04 eta: 2:33:06 time: 0.5424 data_time: 0.0273 memory: 31836 grad_norm: 5.1914 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9614 loss: 0.9614 2022/10/14 09:14:07 - mmengine - INFO - Epoch(train) [83][320/940] lr: 1.0000e-04 eta: 2:32:55 time: 0.5414 data_time: 0.0272 memory: 31836 grad_norm: 5.1774 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.0045 loss: 1.0045 2022/10/14 09:14:18 - mmengine - INFO - Epoch(train) [83][340/940] lr: 1.0000e-04 eta: 2:32:44 time: 0.5477 data_time: 0.0250 memory: 31836 grad_norm: 5.2572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9863 loss: 0.9863 2022/10/14 09:14:29 - mmengine - INFO - Epoch(train) [83][360/940] lr: 1.0000e-04 eta: 2:32:33 time: 0.5468 data_time: 0.0315 memory: 31836 grad_norm: 5.0206 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8972 loss: 0.8972 2022/10/14 09:14:40 - mmengine - INFO - Epoch(train) [83][380/940] lr: 1.0000e-04 eta: 2:32:22 time: 0.5508 data_time: 0.0259 memory: 31836 grad_norm: 5.0724 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/10/14 09:14:51 - mmengine - INFO - Epoch(train) [83][400/940] lr: 1.0000e-04 eta: 2:32:11 time: 0.5484 data_time: 0.0253 memory: 31836 grad_norm: 5.2918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7950 loss: 0.7950 2022/10/14 09:15:01 - mmengine - INFO - Epoch(train) [83][420/940] lr: 1.0000e-04 eta: 2:31:59 time: 0.5407 data_time: 0.0264 memory: 31836 grad_norm: 5.1286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8813 loss: 0.8813 2022/10/14 09:15:12 - mmengine - INFO - Epoch(train) [83][440/940] lr: 1.0000e-04 eta: 2:31:48 time: 0.5414 data_time: 0.0272 memory: 31836 grad_norm: 5.1504 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8647 loss: 0.8647 2022/10/14 09:15:23 - mmengine - INFO - Epoch(train) [83][460/940] lr: 1.0000e-04 eta: 2:31:37 time: 0.5395 data_time: 0.0293 memory: 31836 grad_norm: 5.0870 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8860 loss: 0.8860 2022/10/14 09:15:34 - mmengine - INFO - Epoch(train) [83][480/940] lr: 1.0000e-04 eta: 2:31:26 time: 0.5502 data_time: 0.0339 memory: 31836 grad_norm: 5.1359 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7968 loss: 0.7968 2022/10/14 09:15:45 - mmengine - INFO - Epoch(train) [83][500/940] lr: 1.0000e-04 eta: 2:31:15 time: 0.5518 data_time: 0.0284 memory: 31836 grad_norm: 5.2041 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9723 loss: 0.9723 2022/10/14 09:15:56 - mmengine - INFO - Epoch(train) [83][520/940] lr: 1.0000e-04 eta: 2:31:04 time: 0.5455 data_time: 0.0248 memory: 31836 grad_norm: 5.2261 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/10/14 09:16:07 - mmengine - INFO - Epoch(train) [83][540/940] lr: 1.0000e-04 eta: 2:30:53 time: 0.5443 data_time: 0.0265 memory: 31836 grad_norm: 5.2556 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/10/14 09:16:18 - mmengine - INFO - Epoch(train) [83][560/940] lr: 1.0000e-04 eta: 2:30:42 time: 0.5423 data_time: 0.0288 memory: 31836 grad_norm: 5.0944 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9998 loss: 0.9998 2022/10/14 09:16:29 - mmengine - INFO - Epoch(train) [83][580/940] lr: 1.0000e-04 eta: 2:30:31 time: 0.5456 data_time: 0.0256 memory: 31836 grad_norm: 5.1460 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9574 loss: 0.9574 2022/10/14 09:16:39 - mmengine - INFO - Epoch(train) [83][600/940] lr: 1.0000e-04 eta: 2:30:20 time: 0.5443 data_time: 0.0279 memory: 31836 grad_norm: 5.2479 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/10/14 09:16:50 - mmengine - INFO - Epoch(train) [83][620/940] lr: 1.0000e-04 eta: 2:30:09 time: 0.5413 data_time: 0.0240 memory: 31836 grad_norm: 5.0257 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9124 loss: 0.9124 2022/10/14 09:17:01 - mmengine - INFO - Epoch(train) [83][640/940] lr: 1.0000e-04 eta: 2:29:57 time: 0.5480 data_time: 0.0311 memory: 31836 grad_norm: 5.2336 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8361 loss: 0.8361 2022/10/14 09:17:12 - mmengine - INFO - Epoch(train) [83][660/940] lr: 1.0000e-04 eta: 2:29:46 time: 0.5484 data_time: 0.0311 memory: 31836 grad_norm: 5.1670 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9646 loss: 0.9646 2022/10/14 09:17:23 - mmengine - INFO - Epoch(train) [83][680/940] lr: 1.0000e-04 eta: 2:29:35 time: 0.5471 data_time: 0.0257 memory: 31836 grad_norm: 5.2554 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9259 loss: 0.9259 2022/10/14 09:17:34 - mmengine - INFO - Epoch(train) [83][700/940] lr: 1.0000e-04 eta: 2:29:24 time: 0.5461 data_time: 0.0262 memory: 31836 grad_norm: 5.2919 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9685 loss: 0.9685 2022/10/14 09:17:45 - mmengine - INFO - Epoch(train) [83][720/940] lr: 1.0000e-04 eta: 2:29:13 time: 0.5397 data_time: 0.0316 memory: 31836 grad_norm: 5.3982 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9248 loss: 0.9248 2022/10/14 09:17:56 - mmengine - INFO - Epoch(train) [83][740/940] lr: 1.0000e-04 eta: 2:29:02 time: 0.5405 data_time: 0.0265 memory: 31836 grad_norm: 5.1380 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8682 loss: 0.8682 2022/10/14 09:18:07 - mmengine - INFO - Epoch(train) [83][760/940] lr: 1.0000e-04 eta: 2:28:51 time: 0.5453 data_time: 0.0248 memory: 31836 grad_norm: 5.3104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9053 loss: 0.9053 2022/10/14 09:18:18 - mmengine - INFO - Epoch(train) [83][780/940] lr: 1.0000e-04 eta: 2:28:40 time: 0.5461 data_time: 0.0282 memory: 31836 grad_norm: 5.2805 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8248 loss: 0.8248 2022/10/14 09:18:28 - mmengine - INFO - Epoch(train) [83][800/940] lr: 1.0000e-04 eta: 2:28:29 time: 0.5406 data_time: 0.0276 memory: 31836 grad_norm: 5.2021 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9285 loss: 0.9285 2022/10/14 09:18:39 - mmengine - INFO - Epoch(train) [83][820/940] lr: 1.0000e-04 eta: 2:28:18 time: 0.5497 data_time: 0.0242 memory: 31836 grad_norm: 5.0380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/10/14 09:18:50 - mmengine - INFO - Epoch(train) [83][840/940] lr: 1.0000e-04 eta: 2:28:07 time: 0.5420 data_time: 0.0237 memory: 31836 grad_norm: 5.0994 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9638 loss: 0.9638 2022/10/14 09:19:01 - mmengine - INFO - Epoch(train) [83][860/940] lr: 1.0000e-04 eta: 2:27:56 time: 0.5425 data_time: 0.0263 memory: 31836 grad_norm: 5.0738 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8618 loss: 0.8618 2022/10/14 09:19:12 - mmengine - INFO - Epoch(train) [83][880/940] lr: 1.0000e-04 eta: 2:27:44 time: 0.5476 data_time: 0.0275 memory: 31836 grad_norm: 5.0065 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 0.9319 loss: 0.9319 2022/10/14 09:19:23 - mmengine - INFO - Epoch(train) [83][900/940] lr: 1.0000e-04 eta: 2:27:33 time: 0.5462 data_time: 0.0309 memory: 31836 grad_norm: 5.2210 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0313 loss: 1.0313 2022/10/14 09:19:34 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:19:34 - mmengine - INFO - Epoch(train) [83][920/940] lr: 1.0000e-04 eta: 2:27:22 time: 0.5423 data_time: 0.0265 memory: 31836 grad_norm: 4.9105 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7891 loss: 0.7891 2022/10/14 09:19:44 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:19:44 - mmengine - INFO - Epoch(train) [83][940/940] lr: 1.0000e-04 eta: 2:27:11 time: 0.5137 data_time: 0.0222 memory: 31836 grad_norm: 5.3951 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9384 loss: 0.9384 2022/10/14 09:19:57 - mmengine - INFO - Epoch(val) [83][20/78] eta: 0:00:36 time: 0.6272 data_time: 0.4760 memory: 3561 2022/10/14 09:20:06 - mmengine - INFO - Epoch(val) [83][40/78] eta: 0:00:17 time: 0.4478 data_time: 0.2991 memory: 3561 2022/10/14 09:20:17 - mmengine - INFO - Epoch(val) [83][60/78] eta: 0:00:09 time: 0.5416 data_time: 0.3923 memory: 3561 2022/10/14 09:20:27 - mmengine - INFO - Epoch(val) [83][78/78] acc/top1: 0.6929 acc/top5: 0.8802 acc/mean1: 0.6928 2022/10/14 09:20:43 - mmengine - INFO - Epoch(train) [84][20/940] lr: 1.0000e-04 eta: 2:27:01 time: 0.7751 data_time: 0.1906 memory: 31836 grad_norm: 5.2877 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9553 loss: 0.9553 2022/10/14 09:20:54 - mmengine - INFO - Epoch(train) [84][40/940] lr: 1.0000e-04 eta: 2:26:50 time: 0.5573 data_time: 0.0251 memory: 31836 grad_norm: 5.1279 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8445 loss: 0.8445 2022/10/14 09:21:05 - mmengine - INFO - Epoch(train) [84][60/940] lr: 1.0000e-04 eta: 2:26:39 time: 0.5622 data_time: 0.0301 memory: 31836 grad_norm: 5.2090 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8363 loss: 0.8363 2022/10/14 09:21:16 - mmengine - INFO - Epoch(train) [84][80/940] lr: 1.0000e-04 eta: 2:26:28 time: 0.5503 data_time: 0.0241 memory: 31836 grad_norm: 5.1327 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8559 loss: 0.8559 2022/10/14 09:21:27 - mmengine - INFO - Epoch(train) [84][100/940] lr: 1.0000e-04 eta: 2:26:17 time: 0.5463 data_time: 0.0274 memory: 31836 grad_norm: 5.1138 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9248 loss: 0.9248 2022/10/14 09:21:38 - mmengine - INFO - Epoch(train) [84][120/940] lr: 1.0000e-04 eta: 2:26:06 time: 0.5516 data_time: 0.0285 memory: 31836 grad_norm: 5.2098 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9210 loss: 0.9210 2022/10/14 09:21:49 - mmengine - INFO - Epoch(train) [84][140/940] lr: 1.0000e-04 eta: 2:25:55 time: 0.5477 data_time: 0.0324 memory: 31836 grad_norm: 5.2338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8559 loss: 0.8559 2022/10/14 09:22:00 - mmengine - INFO - Epoch(train) [84][160/940] lr: 1.0000e-04 eta: 2:25:43 time: 0.5488 data_time: 0.0271 memory: 31836 grad_norm: 5.1294 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8850 loss: 0.8850 2022/10/14 09:22:11 - mmengine - INFO - Epoch(train) [84][180/940] lr: 1.0000e-04 eta: 2:25:32 time: 0.5498 data_time: 0.0292 memory: 31836 grad_norm: 5.1530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9864 loss: 0.9864 2022/10/14 09:22:22 - mmengine - INFO - Epoch(train) [84][200/940] lr: 1.0000e-04 eta: 2:25:21 time: 0.5464 data_time: 0.0266 memory: 31836 grad_norm: 5.0703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9001 loss: 0.9001 2022/10/14 09:22:33 - mmengine - INFO - Epoch(train) [84][220/940] lr: 1.0000e-04 eta: 2:25:10 time: 0.5493 data_time: 0.0281 memory: 31836 grad_norm: 5.1919 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9441 loss: 0.9441 2022/10/14 09:22:44 - mmengine - INFO - Epoch(train) [84][240/940] lr: 1.0000e-04 eta: 2:24:59 time: 0.5492 data_time: 0.0309 memory: 31836 grad_norm: 5.2601 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0062 loss: 1.0062 2022/10/14 09:22:55 - mmengine - INFO - Epoch(train) [84][260/940] lr: 1.0000e-04 eta: 2:24:48 time: 0.5432 data_time: 0.0243 memory: 31836 grad_norm: 5.2836 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8929 loss: 0.8929 2022/10/14 09:23:06 - mmengine - INFO - Epoch(train) [84][280/940] lr: 1.0000e-04 eta: 2:24:37 time: 0.5424 data_time: 0.0282 memory: 31836 grad_norm: 5.2471 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8793 loss: 0.8793 2022/10/14 09:23:17 - mmengine - INFO - Epoch(train) [84][300/940] lr: 1.0000e-04 eta: 2:24:26 time: 0.5448 data_time: 0.0281 memory: 31836 grad_norm: 5.1546 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/10/14 09:23:27 - mmengine - INFO - Epoch(train) [84][320/940] lr: 1.0000e-04 eta: 2:24:15 time: 0.5383 data_time: 0.0238 memory: 31836 grad_norm: 5.3143 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8334 loss: 0.8334 2022/10/14 09:23:38 - mmengine - INFO - Epoch(train) [84][340/940] lr: 1.0000e-04 eta: 2:24:04 time: 0.5439 data_time: 0.0288 memory: 31836 grad_norm: 5.1827 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8794 loss: 0.8794 2022/10/14 09:23:49 - mmengine - INFO - Epoch(train) [84][360/940] lr: 1.0000e-04 eta: 2:23:53 time: 0.5489 data_time: 0.0249 memory: 31836 grad_norm: 5.1628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8188 loss: 0.8188 2022/10/14 09:24:00 - mmengine - INFO - Epoch(train) [84][380/940] lr: 1.0000e-04 eta: 2:23:42 time: 0.5399 data_time: 0.0281 memory: 31836 grad_norm: 5.0942 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8350 loss: 0.8350 2022/10/14 09:24:11 - mmengine - INFO - Epoch(train) [84][400/940] lr: 1.0000e-04 eta: 2:23:30 time: 0.5435 data_time: 0.0264 memory: 31836 grad_norm: 5.2154 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9813 loss: 0.9813 2022/10/14 09:24:22 - mmengine - INFO - Epoch(train) [84][420/940] lr: 1.0000e-04 eta: 2:23:19 time: 0.5451 data_time: 0.0353 memory: 31836 grad_norm: 5.2093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8838 loss: 0.8838 2022/10/14 09:24:33 - mmengine - INFO - Epoch(train) [84][440/940] lr: 1.0000e-04 eta: 2:23:08 time: 0.5456 data_time: 0.0302 memory: 31836 grad_norm: 5.2165 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9600 loss: 0.9600 2022/10/14 09:24:44 - mmengine - INFO - Epoch(train) [84][460/940] lr: 1.0000e-04 eta: 2:22:57 time: 0.5414 data_time: 0.0253 memory: 31836 grad_norm: 5.1419 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8836 loss: 0.8836 2022/10/14 09:24:54 - mmengine - INFO - Epoch(train) [84][480/940] lr: 1.0000e-04 eta: 2:22:46 time: 0.5426 data_time: 0.0285 memory: 31836 grad_norm: 5.2503 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9193 loss: 0.9193 2022/10/14 09:25:05 - mmengine - INFO - Epoch(train) [84][500/940] lr: 1.0000e-04 eta: 2:22:35 time: 0.5478 data_time: 0.0305 memory: 31836 grad_norm: 5.2008 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/10/14 09:25:16 - mmengine - INFO - Epoch(train) [84][520/940] lr: 1.0000e-04 eta: 2:22:24 time: 0.5400 data_time: 0.0282 memory: 31836 grad_norm: 5.2037 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9991 loss: 0.9991 2022/10/14 09:25:27 - mmengine - INFO - Epoch(train) [84][540/940] lr: 1.0000e-04 eta: 2:22:13 time: 0.5415 data_time: 0.0275 memory: 31836 grad_norm: 5.2696 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8817 loss: 0.8817 2022/10/14 09:25:38 - mmengine - INFO - Epoch(train) [84][560/940] lr: 1.0000e-04 eta: 2:22:02 time: 0.5434 data_time: 0.0247 memory: 31836 grad_norm: 5.2001 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8170 loss: 0.8170 2022/10/14 09:25:49 - mmengine - INFO - Epoch(train) [84][580/940] lr: 1.0000e-04 eta: 2:21:51 time: 0.5437 data_time: 0.0277 memory: 31836 grad_norm: 5.1691 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9542 loss: 0.9542 2022/10/14 09:26:00 - mmengine - INFO - Epoch(train) [84][600/940] lr: 1.0000e-04 eta: 2:21:40 time: 0.5391 data_time: 0.0219 memory: 31836 grad_norm: 5.1853 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8970 loss: 0.8970 2022/10/14 09:26:11 - mmengine - INFO - Epoch(train) [84][620/940] lr: 1.0000e-04 eta: 2:21:28 time: 0.5481 data_time: 0.0298 memory: 31836 grad_norm: 5.1097 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0657 loss: 1.0657 2022/10/14 09:26:21 - mmengine - INFO - Epoch(train) [84][640/940] lr: 1.0000e-04 eta: 2:21:17 time: 0.5462 data_time: 0.0252 memory: 31836 grad_norm: 5.0646 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9051 loss: 0.9051 2022/10/14 09:26:32 - mmengine - INFO - Epoch(train) [84][660/940] lr: 1.0000e-04 eta: 2:21:06 time: 0.5523 data_time: 0.0269 memory: 31836 grad_norm: 5.1353 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/10/14 09:26:43 - mmengine - INFO - Epoch(train) [84][680/940] lr: 1.0000e-04 eta: 2:20:55 time: 0.5434 data_time: 0.0237 memory: 31836 grad_norm: 5.0984 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9080 loss: 0.9080 2022/10/14 09:26:54 - mmengine - INFO - Epoch(train) [84][700/940] lr: 1.0000e-04 eta: 2:20:44 time: 0.5412 data_time: 0.0233 memory: 31836 grad_norm: 5.1510 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9691 loss: 0.9691 2022/10/14 09:27:05 - mmengine - INFO - Epoch(train) [84][720/940] lr: 1.0000e-04 eta: 2:20:33 time: 0.5409 data_time: 0.0278 memory: 31836 grad_norm: 5.1946 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8635 loss: 0.8635 2022/10/14 09:27:16 - mmengine - INFO - Epoch(train) [84][740/940] lr: 1.0000e-04 eta: 2:20:22 time: 0.5457 data_time: 0.0263 memory: 31836 grad_norm: 5.1709 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9066 loss: 0.9066 2022/10/14 09:27:27 - mmengine - INFO - Epoch(train) [84][760/940] lr: 1.0000e-04 eta: 2:20:11 time: 0.5463 data_time: 0.0312 memory: 31836 grad_norm: 5.2937 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9592 loss: 0.9592 2022/10/14 09:27:38 - mmengine - INFO - Epoch(train) [84][780/940] lr: 1.0000e-04 eta: 2:20:00 time: 0.5452 data_time: 0.0282 memory: 31836 grad_norm: 5.1659 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8424 loss: 0.8424 2022/10/14 09:27:49 - mmengine - INFO - Epoch(train) [84][800/940] lr: 1.0000e-04 eta: 2:19:49 time: 0.5380 data_time: 0.0260 memory: 31836 grad_norm: 5.2070 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9204 loss: 0.9204 2022/10/14 09:28:00 - mmengine - INFO - Epoch(train) [84][820/940] lr: 1.0000e-04 eta: 2:19:38 time: 0.5506 data_time: 0.0319 memory: 31836 grad_norm: 5.2432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9398 loss: 0.9398 2022/10/14 09:28:10 - mmengine - INFO - Epoch(train) [84][840/940] lr: 1.0000e-04 eta: 2:19:27 time: 0.5442 data_time: 0.0331 memory: 31836 grad_norm: 5.1982 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9240 loss: 0.9240 2022/10/14 09:28:21 - mmengine - INFO - Epoch(train) [84][860/940] lr: 1.0000e-04 eta: 2:19:15 time: 0.5400 data_time: 0.0263 memory: 31836 grad_norm: 5.2159 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0494 loss: 1.0494 2022/10/14 09:28:32 - mmengine - INFO - Epoch(train) [84][880/940] lr: 1.0000e-04 eta: 2:19:04 time: 0.5496 data_time: 0.0248 memory: 31836 grad_norm: 5.2506 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9136 loss: 0.9136 2022/10/14 09:28:43 - mmengine - INFO - Epoch(train) [84][900/940] lr: 1.0000e-04 eta: 2:18:53 time: 0.5483 data_time: 0.0248 memory: 31836 grad_norm: 5.0449 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9415 loss: 0.9415 2022/10/14 09:28:54 - mmengine - INFO - Epoch(train) [84][920/940] lr: 1.0000e-04 eta: 2:18:42 time: 0.5437 data_time: 0.0249 memory: 31836 grad_norm: 4.9915 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8563 loss: 0.8563 2022/10/14 09:29:04 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:29:04 - mmengine - INFO - Epoch(train) [84][940/940] lr: 1.0000e-04 eta: 2:18:31 time: 0.5101 data_time: 0.0237 memory: 31836 grad_norm: 5.3999 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.0806 loss: 1.0806 2022/10/14 09:29:04 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/10/14 09:29:18 - mmengine - INFO - Epoch(val) [84][20/78] eta: 0:00:36 time: 0.6235 data_time: 0.4748 memory: 3561 2022/10/14 09:29:27 - mmengine - INFO - Epoch(val) [84][40/78] eta: 0:00:17 time: 0.4571 data_time: 0.3099 memory: 3561 2022/10/14 09:29:39 - mmengine - INFO - Epoch(val) [84][60/78] eta: 0:00:10 time: 0.5837 data_time: 0.4339 memory: 3561 2022/10/14 09:29:48 - mmengine - INFO - Epoch(val) [84][78/78] acc/top1: 0.6923 acc/top5: 0.8807 acc/mean1: 0.6922 2022/10/14 09:30:03 - mmengine - INFO - Epoch(train) [85][20/940] lr: 1.0000e-04 eta: 2:18:21 time: 0.7634 data_time: 0.2276 memory: 31836 grad_norm: 5.1979 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8542 loss: 0.8542 2022/10/14 09:30:14 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:30:14 - mmengine - INFO - Epoch(train) [85][40/940] lr: 1.0000e-04 eta: 2:18:10 time: 0.5507 data_time: 0.0274 memory: 31836 grad_norm: 5.1935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9311 loss: 0.9311 2022/10/14 09:30:25 - mmengine - INFO - Epoch(train) [85][60/940] lr: 1.0000e-04 eta: 2:17:59 time: 0.5538 data_time: 0.0268 memory: 31836 grad_norm: 5.2141 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8164 loss: 0.8164 2022/10/14 09:30:36 - mmengine - INFO - Epoch(train) [85][80/940] lr: 1.0000e-04 eta: 2:17:48 time: 0.5462 data_time: 0.0301 memory: 31836 grad_norm: 5.1685 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/10/14 09:30:47 - mmengine - INFO - Epoch(train) [85][100/940] lr: 1.0000e-04 eta: 2:17:37 time: 0.5496 data_time: 0.0264 memory: 31836 grad_norm: 5.1744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8627 loss: 0.8627 2022/10/14 09:30:58 - mmengine - INFO - Epoch(train) [85][120/940] lr: 1.0000e-04 eta: 2:17:25 time: 0.5413 data_time: 0.0256 memory: 31836 grad_norm: 5.1812 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9800 loss: 0.9800 2022/10/14 09:31:09 - mmengine - INFO - Epoch(train) [85][140/940] lr: 1.0000e-04 eta: 2:17:14 time: 0.5489 data_time: 0.0240 memory: 31836 grad_norm: 5.2538 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0019 loss: 1.0019 2022/10/14 09:31:20 - mmengine - INFO - Epoch(train) [85][160/940] lr: 1.0000e-04 eta: 2:17:03 time: 0.5520 data_time: 0.0278 memory: 31836 grad_norm: 5.2971 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9692 loss: 0.9692 2022/10/14 09:31:31 - mmengine - INFO - Epoch(train) [85][180/940] lr: 1.0000e-04 eta: 2:16:52 time: 0.5437 data_time: 0.0250 memory: 31836 grad_norm: 5.0702 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8967 loss: 0.8967 2022/10/14 09:31:42 - mmengine - INFO - Epoch(train) [85][200/940] lr: 1.0000e-04 eta: 2:16:41 time: 0.5365 data_time: 0.0243 memory: 31836 grad_norm: 5.1509 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9295 loss: 0.9295 2022/10/14 09:31:53 - mmengine - INFO - Epoch(train) [85][220/940] lr: 1.0000e-04 eta: 2:16:30 time: 0.5537 data_time: 0.0323 memory: 31836 grad_norm: 5.4097 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8556 loss: 0.8556 2022/10/14 09:32:04 - mmengine - INFO - Epoch(train) [85][240/940] lr: 1.0000e-04 eta: 2:16:19 time: 0.5445 data_time: 0.0277 memory: 31836 grad_norm: 5.0082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9183 loss: 0.9183 2022/10/14 09:32:14 - mmengine - INFO - Epoch(train) [85][260/940] lr: 1.0000e-04 eta: 2:16:08 time: 0.5436 data_time: 0.0250 memory: 31836 grad_norm: 5.0971 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9374 loss: 0.9374 2022/10/14 09:32:25 - mmengine - INFO - Epoch(train) [85][280/940] lr: 1.0000e-04 eta: 2:15:57 time: 0.5390 data_time: 0.0299 memory: 31836 grad_norm: 5.2960 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9867 loss: 0.9867 2022/10/14 09:32:36 - mmengine - INFO - Epoch(train) [85][300/940] lr: 1.0000e-04 eta: 2:15:46 time: 0.5413 data_time: 0.0269 memory: 31836 grad_norm: 5.1660 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8430 loss: 0.8430 2022/10/14 09:32:47 - mmengine - INFO - Epoch(train) [85][320/940] lr: 1.0000e-04 eta: 2:15:35 time: 0.5389 data_time: 0.0286 memory: 31836 grad_norm: 5.1932 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9285 loss: 0.9285 2022/10/14 09:32:58 - mmengine - INFO - Epoch(train) [85][340/940] lr: 1.0000e-04 eta: 2:15:23 time: 0.5442 data_time: 0.0240 memory: 31836 grad_norm: 5.0385 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8623 loss: 0.8623 2022/10/14 09:33:09 - mmengine - INFO - Epoch(train) [85][360/940] lr: 1.0000e-04 eta: 2:15:12 time: 0.5501 data_time: 0.0344 memory: 31836 grad_norm: 5.1767 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0020 loss: 1.0020 2022/10/14 09:33:20 - mmengine - INFO - Epoch(train) [85][380/940] lr: 1.0000e-04 eta: 2:15:01 time: 0.5468 data_time: 0.0306 memory: 31836 grad_norm: 5.2207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9625 loss: 0.9625 2022/10/14 09:33:31 - mmengine - INFO - Epoch(train) [85][400/940] lr: 1.0000e-04 eta: 2:14:50 time: 0.5445 data_time: 0.0254 memory: 31836 grad_norm: 5.0722 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8593 loss: 0.8593 2022/10/14 09:33:41 - mmengine - INFO - Epoch(train) [85][420/940] lr: 1.0000e-04 eta: 2:14:39 time: 0.5426 data_time: 0.0265 memory: 31836 grad_norm: 5.1432 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9035 loss: 0.9035 2022/10/14 09:33:52 - mmengine - INFO - Epoch(train) [85][440/940] lr: 1.0000e-04 eta: 2:14:28 time: 0.5481 data_time: 0.0308 memory: 31836 grad_norm: 5.1925 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8317 loss: 0.8317 2022/10/14 09:34:03 - mmengine - INFO - Epoch(train) [85][460/940] lr: 1.0000e-04 eta: 2:14:17 time: 0.5453 data_time: 0.0271 memory: 31836 grad_norm: 5.1546 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0304 loss: 1.0304 2022/10/14 09:34:14 - mmengine - INFO - Epoch(train) [85][480/940] lr: 1.0000e-04 eta: 2:14:06 time: 0.5450 data_time: 0.0397 memory: 31836 grad_norm: 5.2162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8303 loss: 0.8303 2022/10/14 09:34:25 - mmengine - INFO - Epoch(train) [85][500/940] lr: 1.0000e-04 eta: 2:13:55 time: 0.5412 data_time: 0.0231 memory: 31836 grad_norm: 5.1321 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9565 loss: 0.9565 2022/10/14 09:34:36 - mmengine - INFO - Epoch(train) [85][520/940] lr: 1.0000e-04 eta: 2:13:44 time: 0.5501 data_time: 0.0334 memory: 31836 grad_norm: 5.1500 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8916 loss: 0.8916 2022/10/14 09:34:47 - mmengine - INFO - Epoch(train) [85][540/940] lr: 1.0000e-04 eta: 2:13:33 time: 0.5352 data_time: 0.0265 memory: 31836 grad_norm: 5.2507 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0095 loss: 1.0095 2022/10/14 09:34:58 - mmengine - INFO - Epoch(train) [85][560/940] lr: 1.0000e-04 eta: 2:13:22 time: 0.5421 data_time: 0.0278 memory: 31836 grad_norm: 5.2071 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0144 loss: 1.0144 2022/10/14 09:35:08 - mmengine - INFO - Epoch(train) [85][580/940] lr: 1.0000e-04 eta: 2:13:10 time: 0.5417 data_time: 0.0260 memory: 31836 grad_norm: 5.3154 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0794 loss: 1.0794 2022/10/14 09:35:19 - mmengine - INFO - Epoch(train) [85][600/940] lr: 1.0000e-04 eta: 2:12:59 time: 0.5421 data_time: 0.0257 memory: 31836 grad_norm: 5.2506 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9531 loss: 0.9531 2022/10/14 09:35:30 - mmengine - INFO - Epoch(train) [85][620/940] lr: 1.0000e-04 eta: 2:12:48 time: 0.5468 data_time: 0.0293 memory: 31836 grad_norm: 5.1335 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9366 loss: 0.9366 2022/10/14 09:35:41 - mmengine - INFO - Epoch(train) [85][640/940] lr: 1.0000e-04 eta: 2:12:37 time: 0.5474 data_time: 0.0273 memory: 31836 grad_norm: 5.2282 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8722 loss: 0.8722 2022/10/14 09:35:52 - mmengine - INFO - Epoch(train) [85][660/940] lr: 1.0000e-04 eta: 2:12:26 time: 0.5433 data_time: 0.0250 memory: 31836 grad_norm: 5.0815 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9236 loss: 0.9236 2022/10/14 09:36:03 - mmengine - INFO - Epoch(train) [85][680/940] lr: 1.0000e-04 eta: 2:12:15 time: 0.5417 data_time: 0.0265 memory: 31836 grad_norm: 5.2062 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9602 loss: 0.9602 2022/10/14 09:36:14 - mmengine - INFO - Epoch(train) [85][700/940] lr: 1.0000e-04 eta: 2:12:04 time: 0.5455 data_time: 0.0270 memory: 31836 grad_norm: 5.3180 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0727 loss: 1.0727 2022/10/14 09:36:25 - mmengine - INFO - Epoch(train) [85][720/940] lr: 1.0000e-04 eta: 2:11:53 time: 0.5540 data_time: 0.0350 memory: 31836 grad_norm: 5.1424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/10/14 09:36:36 - mmengine - INFO - Epoch(train) [85][740/940] lr: 1.0000e-04 eta: 2:11:42 time: 0.5412 data_time: 0.0236 memory: 31836 grad_norm: 5.3290 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8527 loss: 0.8527 2022/10/14 09:36:47 - mmengine - INFO - Epoch(train) [85][760/940] lr: 1.0000e-04 eta: 2:11:31 time: 0.5528 data_time: 0.0272 memory: 31836 grad_norm: 5.2333 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8806 loss: 0.8806 2022/10/14 09:36:58 - mmengine - INFO - Epoch(train) [85][780/940] lr: 1.0000e-04 eta: 2:11:20 time: 0.5411 data_time: 0.0280 memory: 31836 grad_norm: 5.2220 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8592 loss: 0.8592 2022/10/14 09:37:08 - mmengine - INFO - Epoch(train) [85][800/940] lr: 1.0000e-04 eta: 2:11:09 time: 0.5400 data_time: 0.0253 memory: 31836 grad_norm: 5.3835 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8746 loss: 0.8746 2022/10/14 09:37:19 - mmengine - INFO - Epoch(train) [85][820/940] lr: 1.0000e-04 eta: 2:10:58 time: 0.5439 data_time: 0.0246 memory: 31836 grad_norm: 5.2382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8967 loss: 0.8967 2022/10/14 09:37:30 - mmengine - INFO - Epoch(train) [85][840/940] lr: 1.0000e-04 eta: 2:10:46 time: 0.5401 data_time: 0.0244 memory: 31836 grad_norm: 5.3016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8722 loss: 0.8722 2022/10/14 09:37:41 - mmengine - INFO - Epoch(train) [85][860/940] lr: 1.0000e-04 eta: 2:10:35 time: 0.5424 data_time: 0.0257 memory: 31836 grad_norm: 5.2588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/10/14 09:37:52 - mmengine - INFO - Epoch(train) [85][880/940] lr: 1.0000e-04 eta: 2:10:24 time: 0.5446 data_time: 0.0267 memory: 31836 grad_norm: 5.2877 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/10/14 09:38:03 - mmengine - INFO - Epoch(train) [85][900/940] lr: 1.0000e-04 eta: 2:10:13 time: 0.5414 data_time: 0.0259 memory: 31836 grad_norm: 5.2038 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8383 loss: 0.8383 2022/10/14 09:38:14 - mmengine - INFO - Epoch(train) [85][920/940] lr: 1.0000e-04 eta: 2:10:02 time: 0.5498 data_time: 0.0267 memory: 31836 grad_norm: 5.3181 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9309 loss: 0.9309 2022/10/14 09:38:24 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:38:24 - mmengine - INFO - Epoch(train) [85][940/940] lr: 1.0000e-04 eta: 2:09:51 time: 0.5121 data_time: 0.0240 memory: 31836 grad_norm: 5.4667 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8587 loss: 0.8587 2022/10/14 09:38:37 - mmengine - INFO - Epoch(val) [85][20/78] eta: 0:00:37 time: 0.6415 data_time: 0.4876 memory: 3561 2022/10/14 09:38:45 - mmengine - INFO - Epoch(val) [85][40/78] eta: 0:00:16 time: 0.4363 data_time: 0.2883 memory: 3561 2022/10/14 09:38:57 - mmengine - INFO - Epoch(val) [85][60/78] eta: 0:00:10 time: 0.5658 data_time: 0.4161 memory: 3561 2022/10/14 09:39:06 - mmengine - INFO - Epoch(val) [85][78/78] acc/top1: 0.6933 acc/top5: 0.8804 acc/mean1: 0.6932 2022/10/14 09:39:22 - mmengine - INFO - Epoch(train) [86][20/940] lr: 1.0000e-04 eta: 2:09:41 time: 0.7760 data_time: 0.2098 memory: 31836 grad_norm: 5.2480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9804 loss: 0.9804 2022/10/14 09:39:33 - mmengine - INFO - Epoch(train) [86][40/940] lr: 1.0000e-04 eta: 2:09:30 time: 0.5515 data_time: 0.0260 memory: 31836 grad_norm: 5.1992 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9816 loss: 0.9816 2022/10/14 09:39:44 - mmengine - INFO - Epoch(train) [86][60/940] lr: 1.0000e-04 eta: 2:09:19 time: 0.5647 data_time: 0.0271 memory: 31836 grad_norm: 5.1631 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8777 loss: 0.8777 2022/10/14 09:39:55 - mmengine - INFO - Epoch(train) [86][80/940] lr: 1.0000e-04 eta: 2:09:08 time: 0.5469 data_time: 0.0354 memory: 31836 grad_norm: 5.1758 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8959 loss: 0.8959 2022/10/14 09:40:06 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:40:06 - mmengine - INFO - Epoch(train) [86][100/940] lr: 1.0000e-04 eta: 2:08:56 time: 0.5463 data_time: 0.0284 memory: 31836 grad_norm: 4.9778 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8642 loss: 0.8642 2022/10/14 09:40:17 - mmengine - INFO - Epoch(train) [86][120/940] lr: 1.0000e-04 eta: 2:08:45 time: 0.5495 data_time: 0.0289 memory: 31836 grad_norm: 5.1299 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9213 loss: 0.9213 2022/10/14 09:40:28 - mmengine - INFO - Epoch(train) [86][140/940] lr: 1.0000e-04 eta: 2:08:34 time: 0.5349 data_time: 0.0275 memory: 31836 grad_norm: 5.2017 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9587 loss: 0.9587 2022/10/14 09:40:38 - mmengine - INFO - Epoch(train) [86][160/940] lr: 1.0000e-04 eta: 2:08:23 time: 0.5387 data_time: 0.0221 memory: 31836 grad_norm: 5.2116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9415 loss: 0.9415 2022/10/14 09:40:49 - mmengine - INFO - Epoch(train) [86][180/940] lr: 1.0000e-04 eta: 2:08:12 time: 0.5546 data_time: 0.0367 memory: 31836 grad_norm: 5.1826 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8461 loss: 0.8461 2022/10/14 09:41:00 - mmengine - INFO - Epoch(train) [86][200/940] lr: 1.0000e-04 eta: 2:08:01 time: 0.5361 data_time: 0.0241 memory: 31836 grad_norm: 5.2753 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8995 loss: 0.8995 2022/10/14 09:41:11 - mmengine - INFO - Epoch(train) [86][220/940] lr: 1.0000e-04 eta: 2:07:50 time: 0.5450 data_time: 0.0262 memory: 31836 grad_norm: 5.0615 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 0.8640 loss: 0.8640 2022/10/14 09:41:22 - mmengine - INFO - Epoch(train) [86][240/940] lr: 1.0000e-04 eta: 2:07:39 time: 0.5444 data_time: 0.0341 memory: 31836 grad_norm: 5.1635 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9067 loss: 0.9067 2022/10/14 09:41:33 - mmengine - INFO - Epoch(train) [86][260/940] lr: 1.0000e-04 eta: 2:07:28 time: 0.5442 data_time: 0.0269 memory: 31836 grad_norm: 5.1481 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9129 loss: 0.9129 2022/10/14 09:41:44 - mmengine - INFO - Epoch(train) [86][280/940] lr: 1.0000e-04 eta: 2:07:17 time: 0.5484 data_time: 0.0249 memory: 31836 grad_norm: 5.2043 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8177 loss: 0.8177 2022/10/14 09:41:55 - mmengine - INFO - Epoch(train) [86][300/940] lr: 1.0000e-04 eta: 2:07:06 time: 0.5480 data_time: 0.0261 memory: 31836 grad_norm: 5.1406 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9091 loss: 0.9091 2022/10/14 09:42:06 - mmengine - INFO - Epoch(train) [86][320/940] lr: 1.0000e-04 eta: 2:06:55 time: 0.5450 data_time: 0.0296 memory: 31836 grad_norm: 5.1554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8094 loss: 0.8094 2022/10/14 09:42:16 - mmengine - INFO - Epoch(train) [86][340/940] lr: 1.0000e-04 eta: 2:06:43 time: 0.5362 data_time: 0.0273 memory: 31836 grad_norm: 4.9607 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8058 loss: 0.8058 2022/10/14 09:42:27 - mmengine - INFO - Epoch(train) [86][360/940] lr: 1.0000e-04 eta: 2:06:32 time: 0.5476 data_time: 0.0298 memory: 31836 grad_norm: 5.1010 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8151 loss: 0.8151 2022/10/14 09:42:38 - mmengine - INFO - Epoch(train) [86][380/940] lr: 1.0000e-04 eta: 2:06:21 time: 0.5459 data_time: 0.0256 memory: 31836 grad_norm: 5.3196 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8981 loss: 0.8981 2022/10/14 09:42:49 - mmengine - INFO - Epoch(train) [86][400/940] lr: 1.0000e-04 eta: 2:06:10 time: 0.5432 data_time: 0.0247 memory: 31836 grad_norm: 5.1853 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.9263 loss: 0.9263 2022/10/14 09:43:00 - mmengine - INFO - Epoch(train) [86][420/940] lr: 1.0000e-04 eta: 2:05:59 time: 0.5466 data_time: 0.0270 memory: 31836 grad_norm: 5.1779 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8675 loss: 0.8675 2022/10/14 09:43:11 - mmengine - INFO - Epoch(train) [86][440/940] lr: 1.0000e-04 eta: 2:05:48 time: 0.5441 data_time: 0.0237 memory: 31836 grad_norm: 5.2970 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9224 loss: 0.9224 2022/10/14 09:43:22 - mmengine - INFO - Epoch(train) [86][460/940] lr: 1.0000e-04 eta: 2:05:37 time: 0.5432 data_time: 0.0270 memory: 31836 grad_norm: 5.1584 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8695 loss: 0.8695 2022/10/14 09:43:33 - mmengine - INFO - Epoch(train) [86][480/940] lr: 1.0000e-04 eta: 2:05:26 time: 0.5577 data_time: 0.0307 memory: 31836 grad_norm: 5.1627 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8302 loss: 0.8302 2022/10/14 09:43:44 - mmengine - INFO - Epoch(train) [86][500/940] lr: 1.0000e-04 eta: 2:05:15 time: 0.5474 data_time: 0.0232 memory: 31836 grad_norm: 5.2155 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8700 loss: 0.8700 2022/10/14 09:43:55 - mmengine - INFO - Epoch(train) [86][520/940] lr: 1.0000e-04 eta: 2:05:04 time: 0.5496 data_time: 0.0268 memory: 31836 grad_norm: 5.2052 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8710 loss: 0.8710 2022/10/14 09:44:06 - mmengine - INFO - Epoch(train) [86][540/940] lr: 1.0000e-04 eta: 2:04:53 time: 0.5389 data_time: 0.0268 memory: 31836 grad_norm: 5.1154 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/10/14 09:44:17 - mmengine - INFO - Epoch(train) [86][560/940] lr: 1.0000e-04 eta: 2:04:42 time: 0.5394 data_time: 0.0232 memory: 31836 grad_norm: 5.1718 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9900 loss: 0.9900 2022/10/14 09:44:28 - mmengine - INFO - Epoch(train) [86][580/940] lr: 1.0000e-04 eta: 2:04:31 time: 0.5531 data_time: 0.0308 memory: 31836 grad_norm: 5.0910 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/10/14 09:44:38 - mmengine - INFO - Epoch(train) [86][600/940] lr: 1.0000e-04 eta: 2:04:19 time: 0.5437 data_time: 0.0267 memory: 31836 grad_norm: 5.3470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8187 loss: 0.8187 2022/10/14 09:44:49 - mmengine - INFO - Epoch(train) [86][620/940] lr: 1.0000e-04 eta: 2:04:08 time: 0.5438 data_time: 0.0255 memory: 31836 grad_norm: 5.2134 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9021 loss: 0.9021 2022/10/14 09:45:00 - mmengine - INFO - Epoch(train) [86][640/940] lr: 1.0000e-04 eta: 2:03:57 time: 0.5473 data_time: 0.0249 memory: 31836 grad_norm: 5.1631 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8780 loss: 0.8780 2022/10/14 09:45:11 - mmengine - INFO - Epoch(train) [86][660/940] lr: 1.0000e-04 eta: 2:03:46 time: 0.5474 data_time: 0.0254 memory: 31836 grad_norm: 5.2728 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9185 loss: 0.9185 2022/10/14 09:45:22 - mmengine - INFO - Epoch(train) [86][680/940] lr: 1.0000e-04 eta: 2:03:35 time: 0.5519 data_time: 0.0289 memory: 31836 grad_norm: 5.0125 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9107 loss: 0.9107 2022/10/14 09:45:33 - mmengine - INFO - Epoch(train) [86][700/940] lr: 1.0000e-04 eta: 2:03:24 time: 0.5429 data_time: 0.0313 memory: 31836 grad_norm: 5.2867 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9304 loss: 0.9304 2022/10/14 09:45:44 - mmengine - INFO - Epoch(train) [86][720/940] lr: 1.0000e-04 eta: 2:03:13 time: 0.5471 data_time: 0.0257 memory: 31836 grad_norm: 5.0956 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8450 loss: 0.8450 2022/10/14 09:45:55 - mmengine - INFO - Epoch(train) [86][740/940] lr: 1.0000e-04 eta: 2:03:02 time: 0.5427 data_time: 0.0260 memory: 31836 grad_norm: 5.1651 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8931 loss: 0.8931 2022/10/14 09:46:06 - mmengine - INFO - Epoch(train) [86][760/940] lr: 1.0000e-04 eta: 2:02:51 time: 0.5496 data_time: 0.0376 memory: 31836 grad_norm: 5.0973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7784 loss: 0.7784 2022/10/14 09:46:17 - mmengine - INFO - Epoch(train) [86][780/940] lr: 1.0000e-04 eta: 2:02:40 time: 0.5488 data_time: 0.0308 memory: 31836 grad_norm: 5.1861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9569 loss: 0.9569 2022/10/14 09:46:28 - mmengine - INFO - Epoch(train) [86][800/940] lr: 1.0000e-04 eta: 2:02:29 time: 0.5515 data_time: 0.0280 memory: 31836 grad_norm: 5.3662 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9823 loss: 0.9823 2022/10/14 09:46:39 - mmengine - INFO - Epoch(train) [86][820/940] lr: 1.0000e-04 eta: 2:02:18 time: 0.5494 data_time: 0.0267 memory: 31836 grad_norm: 5.1495 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9351 loss: 0.9351 2022/10/14 09:46:50 - mmengine - INFO - Epoch(train) [86][840/940] lr: 1.0000e-04 eta: 2:02:07 time: 0.5435 data_time: 0.0262 memory: 31836 grad_norm: 5.1522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8563 loss: 0.8563 2022/10/14 09:47:01 - mmengine - INFO - Epoch(train) [86][860/940] lr: 1.0000e-04 eta: 2:01:56 time: 0.5447 data_time: 0.0250 memory: 31836 grad_norm: 5.2140 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8547 loss: 0.8547 2022/10/14 09:47:12 - mmengine - INFO - Epoch(train) [86][880/940] lr: 1.0000e-04 eta: 2:01:45 time: 0.5513 data_time: 0.0242 memory: 31836 grad_norm: 5.2317 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 0.9813 loss: 0.9813 2022/10/14 09:47:23 - mmengine - INFO - Epoch(train) [86][900/940] lr: 1.0000e-04 eta: 2:01:33 time: 0.5470 data_time: 0.0352 memory: 31836 grad_norm: 5.0945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7966 loss: 0.7966 2022/10/14 09:47:34 - mmengine - INFO - Epoch(train) [86][920/940] lr: 1.0000e-04 eta: 2:01:22 time: 0.5416 data_time: 0.0247 memory: 31836 grad_norm: 5.1211 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8438 loss: 0.8438 2022/10/14 09:47:44 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:47:44 - mmengine - INFO - Epoch(train) [86][940/940] lr: 1.0000e-04 eta: 2:01:11 time: 0.5137 data_time: 0.0235 memory: 31836 grad_norm: 5.4387 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8398 loss: 0.8398 2022/10/14 09:47:56 - mmengine - INFO - Epoch(val) [86][20/78] eta: 0:00:35 time: 0.6145 data_time: 0.4626 memory: 3561 2022/10/14 09:48:05 - mmengine - INFO - Epoch(val) [86][40/78] eta: 0:00:17 time: 0.4566 data_time: 0.3077 memory: 3561 2022/10/14 09:48:17 - mmengine - INFO - Epoch(val) [86][60/78] eta: 0:00:10 time: 0.5953 data_time: 0.4478 memory: 3561 2022/10/14 09:48:28 - mmengine - INFO - Epoch(val) [86][78/78] acc/top1: 0.6925 acc/top5: 0.8804 acc/mean1: 0.6924 2022/10/14 09:48:44 - mmengine - INFO - Epoch(train) [87][20/940] lr: 1.0000e-04 eta: 2:01:01 time: 0.7839 data_time: 0.2251 memory: 31836 grad_norm: 5.0955 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9128 loss: 0.9128 2022/10/14 09:48:55 - mmengine - INFO - Epoch(train) [87][40/940] lr: 1.0000e-04 eta: 2:00:50 time: 0.5521 data_time: 0.0261 memory: 31836 grad_norm: 5.2831 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9590 loss: 0.9590 2022/10/14 09:49:06 - mmengine - INFO - Epoch(train) [87][60/940] lr: 1.0000e-04 eta: 2:00:39 time: 0.5609 data_time: 0.0284 memory: 31836 grad_norm: 5.2651 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8643 loss: 0.8643 2022/10/14 09:49:17 - mmengine - INFO - Epoch(train) [87][80/940] lr: 1.0000e-04 eta: 2:00:28 time: 0.5537 data_time: 0.0245 memory: 31836 grad_norm: 5.0562 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9072 loss: 0.9072 2022/10/14 09:49:28 - mmengine - INFO - Epoch(train) [87][100/940] lr: 1.0000e-04 eta: 2:00:17 time: 0.5383 data_time: 0.0249 memory: 31836 grad_norm: 5.2247 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9833 loss: 0.9833 2022/10/14 09:49:39 - mmengine - INFO - Epoch(train) [87][120/940] lr: 1.0000e-04 eta: 2:00:06 time: 0.5451 data_time: 0.0256 memory: 31836 grad_norm: 5.1784 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9664 loss: 0.9664 2022/10/14 09:49:50 - mmengine - INFO - Epoch(train) [87][140/940] lr: 1.0000e-04 eta: 1:59:55 time: 0.5503 data_time: 0.0252 memory: 31836 grad_norm: 5.1602 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9142 loss: 0.9142 2022/10/14 09:50:01 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:50:01 - mmengine - INFO - Epoch(train) [87][160/940] lr: 1.0000e-04 eta: 1:59:43 time: 0.5511 data_time: 0.0232 memory: 31836 grad_norm: 5.2940 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 0.9855 loss: 0.9855 2022/10/14 09:50:12 - mmengine - INFO - Epoch(train) [87][180/940] lr: 1.0000e-04 eta: 1:59:32 time: 0.5437 data_time: 0.0332 memory: 31836 grad_norm: 5.1062 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9385 loss: 0.9385 2022/10/14 09:50:23 - mmengine - INFO - Epoch(train) [87][200/940] lr: 1.0000e-04 eta: 1:59:21 time: 0.5461 data_time: 0.0258 memory: 31836 grad_norm: 5.0367 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7954 loss: 0.7954 2022/10/14 09:50:34 - mmengine - INFO - Epoch(train) [87][220/940] lr: 1.0000e-04 eta: 1:59:10 time: 0.5439 data_time: 0.0306 memory: 31836 grad_norm: 5.1863 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1033 loss: 1.1033 2022/10/14 09:50:45 - mmengine - INFO - Epoch(train) [87][240/940] lr: 1.0000e-04 eta: 1:58:59 time: 0.5506 data_time: 0.0250 memory: 31836 grad_norm: 5.1831 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8530 loss: 0.8530 2022/10/14 09:50:56 - mmengine - INFO - Epoch(train) [87][260/940] lr: 1.0000e-04 eta: 1:58:48 time: 0.5456 data_time: 0.0277 memory: 31836 grad_norm: 5.0527 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9201 loss: 0.9201 2022/10/14 09:51:07 - mmengine - INFO - Epoch(train) [87][280/940] lr: 1.0000e-04 eta: 1:58:37 time: 0.5472 data_time: 0.0263 memory: 31836 grad_norm: 5.2854 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/10/14 09:51:18 - mmengine - INFO - Epoch(train) [87][300/940] lr: 1.0000e-04 eta: 1:58:26 time: 0.5422 data_time: 0.0248 memory: 31836 grad_norm: 5.1750 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9831 loss: 0.9831 2022/10/14 09:51:29 - mmengine - INFO - Epoch(train) [87][320/940] lr: 1.0000e-04 eta: 1:58:15 time: 0.5958 data_time: 0.0236 memory: 31836 grad_norm: 5.2053 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9265 loss: 0.9265 2022/10/14 09:51:41 - mmengine - INFO - Epoch(train) [87][340/940] lr: 1.0000e-04 eta: 1:58:04 time: 0.5577 data_time: 0.0309 memory: 31836 grad_norm: 5.1326 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8726 loss: 0.8726 2022/10/14 09:51:52 - mmengine - INFO - Epoch(train) [87][360/940] lr: 1.0000e-04 eta: 1:57:53 time: 0.5517 data_time: 0.0263 memory: 31836 grad_norm: 5.2146 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0003 loss: 1.0003 2022/10/14 09:52:03 - mmengine - INFO - Epoch(train) [87][380/940] lr: 1.0000e-04 eta: 1:57:42 time: 0.5486 data_time: 0.0272 memory: 31836 grad_norm: 5.4032 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 0.9669 loss: 0.9669 2022/10/14 09:52:14 - mmengine - INFO - Epoch(train) [87][400/940] lr: 1.0000e-04 eta: 1:57:31 time: 0.5468 data_time: 0.0284 memory: 31836 grad_norm: 5.2168 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8832 loss: 0.8832 2022/10/14 09:52:24 - mmengine - INFO - Epoch(train) [87][420/940] lr: 1.0000e-04 eta: 1:57:20 time: 0.5460 data_time: 0.0248 memory: 31836 grad_norm: 5.1444 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8422 loss: 0.8422 2022/10/14 09:52:35 - mmengine - INFO - Epoch(train) [87][440/940] lr: 1.0000e-04 eta: 1:57:09 time: 0.5457 data_time: 0.0294 memory: 31836 grad_norm: 5.1255 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9582 loss: 0.9582 2022/10/14 09:52:46 - mmengine - INFO - Epoch(train) [87][460/940] lr: 1.0000e-04 eta: 1:56:58 time: 0.5438 data_time: 0.0320 memory: 31836 grad_norm: 5.0616 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8053 loss: 0.8053 2022/10/14 09:52:57 - mmengine - INFO - Epoch(train) [87][480/940] lr: 1.0000e-04 eta: 1:56:46 time: 0.5427 data_time: 0.0261 memory: 31836 grad_norm: 5.1238 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/10/14 09:53:08 - mmengine - INFO - Epoch(train) [87][500/940] lr: 1.0000e-04 eta: 1:56:35 time: 0.5580 data_time: 0.0316 memory: 31836 grad_norm: 5.2042 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8562 loss: 0.8562 2022/10/14 09:53:19 - mmengine - INFO - Epoch(train) [87][520/940] lr: 1.0000e-04 eta: 1:56:24 time: 0.5520 data_time: 0.0255 memory: 31836 grad_norm: 5.1233 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9903 loss: 0.9903 2022/10/14 09:53:30 - mmengine - INFO - Epoch(train) [87][540/940] lr: 1.0000e-04 eta: 1:56:13 time: 0.5480 data_time: 0.0291 memory: 31836 grad_norm: 5.1408 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7817 loss: 0.7817 2022/10/14 09:53:42 - mmengine - INFO - Epoch(train) [87][560/940] lr: 1.0000e-04 eta: 1:56:02 time: 0.5900 data_time: 0.0279 memory: 31836 grad_norm: 5.2189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/10/14 09:53:54 - mmengine - INFO - Epoch(train) [87][580/940] lr: 1.0000e-04 eta: 1:55:51 time: 0.5807 data_time: 0.0339 memory: 31836 grad_norm: 5.2445 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8598 loss: 0.8598 2022/10/14 09:54:05 - mmengine - INFO - Epoch(train) [87][600/940] lr: 1.0000e-04 eta: 1:55:40 time: 0.5498 data_time: 0.0280 memory: 31836 grad_norm: 5.0628 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8355 loss: 0.8355 2022/10/14 09:54:16 - mmengine - INFO - Epoch(train) [87][620/940] lr: 1.0000e-04 eta: 1:55:29 time: 0.5462 data_time: 0.0272 memory: 31836 grad_norm: 5.2361 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0401 loss: 1.0401 2022/10/14 09:54:26 - mmengine - INFO - Epoch(train) [87][640/940] lr: 1.0000e-04 eta: 1:55:18 time: 0.5436 data_time: 0.0301 memory: 31836 grad_norm: 5.1663 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9536 loss: 0.9536 2022/10/14 09:54:37 - mmengine - INFO - Epoch(train) [87][660/940] lr: 1.0000e-04 eta: 1:55:07 time: 0.5506 data_time: 0.0357 memory: 31836 grad_norm: 5.2214 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8432 loss: 0.8432 2022/10/14 09:54:48 - mmengine - INFO - Epoch(train) [87][680/940] lr: 1.0000e-04 eta: 1:54:56 time: 0.5443 data_time: 0.0296 memory: 31836 grad_norm: 5.1866 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8686 loss: 0.8686 2022/10/14 09:54:59 - mmengine - INFO - Epoch(train) [87][700/940] lr: 1.0000e-04 eta: 1:54:45 time: 0.5502 data_time: 0.0281 memory: 31836 grad_norm: 5.2598 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8426 loss: 0.8426 2022/10/14 09:55:10 - mmengine - INFO - Epoch(train) [87][720/940] lr: 1.0000e-04 eta: 1:54:34 time: 0.5475 data_time: 0.0251 memory: 31836 grad_norm: 5.3189 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8404 loss: 0.8404 2022/10/14 09:55:21 - mmengine - INFO - Epoch(train) [87][740/940] lr: 1.0000e-04 eta: 1:54:23 time: 0.5495 data_time: 0.0264 memory: 31836 grad_norm: 5.3067 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9395 loss: 0.9395 2022/10/14 09:55:32 - mmengine - INFO - Epoch(train) [87][760/940] lr: 1.0000e-04 eta: 1:54:12 time: 0.5468 data_time: 0.0282 memory: 31836 grad_norm: 5.3292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8833 loss: 0.8833 2022/10/14 09:55:43 - mmengine - INFO - Epoch(train) [87][780/940] lr: 1.0000e-04 eta: 1:54:01 time: 0.5500 data_time: 0.0230 memory: 31836 grad_norm: 5.1350 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/10/14 09:55:54 - mmengine - INFO - Epoch(train) [87][800/940] lr: 1.0000e-04 eta: 1:53:50 time: 0.5484 data_time: 0.0241 memory: 31836 grad_norm: 5.0538 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8994 loss: 0.8994 2022/10/14 09:56:05 - mmengine - INFO - Epoch(train) [87][820/940] lr: 1.0000e-04 eta: 1:53:39 time: 0.5419 data_time: 0.0238 memory: 31836 grad_norm: 5.2454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9892 loss: 0.9892 2022/10/14 09:56:16 - mmengine - INFO - Epoch(train) [87][840/940] lr: 1.0000e-04 eta: 1:53:28 time: 0.5416 data_time: 0.0300 memory: 31836 grad_norm: 5.3592 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/10/14 09:56:27 - mmengine - INFO - Epoch(train) [87][860/940] lr: 1.0000e-04 eta: 1:53:16 time: 0.5461 data_time: 0.0263 memory: 31836 grad_norm: 5.0508 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8299 loss: 0.8299 2022/10/14 09:56:38 - mmengine - INFO - Epoch(train) [87][880/940] lr: 1.0000e-04 eta: 1:53:05 time: 0.5482 data_time: 0.0239 memory: 31836 grad_norm: 5.2015 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9318 loss: 0.9318 2022/10/14 09:56:49 - mmengine - INFO - Epoch(train) [87][900/940] lr: 1.0000e-04 eta: 1:52:54 time: 0.5527 data_time: 0.0280 memory: 31836 grad_norm: 5.2717 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8761 loss: 0.8761 2022/10/14 09:57:00 - mmengine - INFO - Epoch(train) [87][920/940] lr: 1.0000e-04 eta: 1:52:43 time: 0.5423 data_time: 0.0279 memory: 31836 grad_norm: 5.2751 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8710 loss: 0.8710 2022/10/14 09:57:10 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 09:57:10 - mmengine - INFO - Epoch(train) [87][940/940] lr: 1.0000e-04 eta: 1:52:32 time: 0.5174 data_time: 0.0239 memory: 31836 grad_norm: 5.7258 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.0562 loss: 1.0562 2022/10/14 09:57:10 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/10/14 09:57:24 - mmengine - INFO - Epoch(val) [87][20/78] eta: 0:00:35 time: 0.6178 data_time: 0.4689 memory: 3561 2022/10/14 09:57:33 - mmengine - INFO - Epoch(val) [87][40/78] eta: 0:00:17 time: 0.4662 data_time: 0.3185 memory: 3561 2022/10/14 09:57:45 - mmengine - INFO - Epoch(val) [87][60/78] eta: 0:00:10 time: 0.5713 data_time: 0.4237 memory: 3561 2022/10/14 09:57:55 - mmengine - INFO - Epoch(val) [87][78/78] acc/top1: 0.6923 acc/top5: 0.8796 acc/mean1: 0.6922 2022/10/14 09:58:10 - mmengine - INFO - Epoch(train) [88][20/940] lr: 1.0000e-04 eta: 1:52:22 time: 0.7827 data_time: 0.2172 memory: 31836 grad_norm: 5.1224 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8823 loss: 0.8823 2022/10/14 09:58:21 - mmengine - INFO - Epoch(train) [88][40/940] lr: 1.0000e-04 eta: 1:52:11 time: 0.5490 data_time: 0.0292 memory: 31836 grad_norm: 5.1362 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.8633 loss: 0.8633 2022/10/14 09:58:33 - mmengine - INFO - Epoch(train) [88][60/940] lr: 1.0000e-04 eta: 1:52:00 time: 0.5637 data_time: 0.0324 memory: 31836 grad_norm: 5.2247 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9094 loss: 0.9094 2022/10/14 09:58:44 - mmengine - INFO - Epoch(train) [88][80/940] lr: 1.0000e-04 eta: 1:51:49 time: 0.5600 data_time: 0.0313 memory: 31836 grad_norm: 5.0624 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8288 loss: 0.8288 2022/10/14 09:58:55 - mmengine - INFO - Epoch(train) [88][100/940] lr: 1.0000e-04 eta: 1:51:38 time: 0.5563 data_time: 0.0265 memory: 31836 grad_norm: 5.1543 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8567 loss: 0.8567 2022/10/14 09:59:06 - mmengine - INFO - Epoch(train) [88][120/940] lr: 1.0000e-04 eta: 1:51:27 time: 0.5580 data_time: 0.0298 memory: 31836 grad_norm: 5.2518 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9016 loss: 0.9016 2022/10/14 09:59:17 - mmengine - INFO - Epoch(train) [88][140/940] lr: 1.0000e-04 eta: 1:51:15 time: 0.5444 data_time: 0.0255 memory: 31836 grad_norm: 5.2698 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8686 loss: 0.8686 2022/10/14 09:59:28 - mmengine - INFO - Epoch(train) [88][160/940] lr: 1.0000e-04 eta: 1:51:04 time: 0.5440 data_time: 0.0342 memory: 31836 grad_norm: 5.0709 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8000 loss: 0.8000 2022/10/14 09:59:39 - mmengine - INFO - Epoch(train) [88][180/940] lr: 1.0000e-04 eta: 1:50:53 time: 0.5424 data_time: 0.0250 memory: 31836 grad_norm: 5.1609 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9306 loss: 0.9306 2022/10/14 09:59:50 - mmengine - INFO - Epoch(train) [88][200/940] lr: 1.0000e-04 eta: 1:50:42 time: 0.5464 data_time: 0.0233 memory: 31836 grad_norm: 5.1744 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8804 loss: 0.8804 2022/10/14 10:00:01 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:00:01 - mmengine - INFO - Epoch(train) [88][220/940] lr: 1.0000e-04 eta: 1:50:31 time: 0.5481 data_time: 0.0235 memory: 31836 grad_norm: 5.2192 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8763 loss: 0.8763 2022/10/14 10:00:11 - mmengine - INFO - Epoch(train) [88][240/940] lr: 1.0000e-04 eta: 1:50:20 time: 0.5408 data_time: 0.0235 memory: 31836 grad_norm: 5.1944 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/10/14 10:00:22 - mmengine - INFO - Epoch(train) [88][260/940] lr: 1.0000e-04 eta: 1:50:09 time: 0.5406 data_time: 0.0293 memory: 31836 grad_norm: 5.1063 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8362 loss: 0.8362 2022/10/14 10:00:33 - mmengine - INFO - Epoch(train) [88][280/940] lr: 1.0000e-04 eta: 1:49:58 time: 0.5475 data_time: 0.0256 memory: 31836 grad_norm: 5.0541 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/10/14 10:00:44 - mmengine - INFO - Epoch(train) [88][300/940] lr: 1.0000e-04 eta: 1:49:47 time: 0.5418 data_time: 0.0284 memory: 31836 grad_norm: 5.1559 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9607 loss: 0.9607 2022/10/14 10:00:55 - mmengine - INFO - Epoch(train) [88][320/940] lr: 1.0000e-04 eta: 1:49:36 time: 0.5367 data_time: 0.0274 memory: 31836 grad_norm: 5.1521 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/10/14 10:01:06 - mmengine - INFO - Epoch(train) [88][340/940] lr: 1.0000e-04 eta: 1:49:25 time: 0.5480 data_time: 0.0357 memory: 31836 grad_norm: 5.2419 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7685 loss: 0.7685 2022/10/14 10:01:17 - mmengine - INFO - Epoch(train) [88][360/940] lr: 1.0000e-04 eta: 1:49:14 time: 0.5456 data_time: 0.0308 memory: 31836 grad_norm: 5.2233 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9423 loss: 0.9423 2022/10/14 10:01:27 - mmengine - INFO - Epoch(train) [88][380/940] lr: 1.0000e-04 eta: 1:49:03 time: 0.5430 data_time: 0.0324 memory: 31836 grad_norm: 5.0039 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8649 loss: 0.8649 2022/10/14 10:01:38 - mmengine - INFO - Epoch(train) [88][400/940] lr: 1.0000e-04 eta: 1:48:51 time: 0.5463 data_time: 0.0313 memory: 31836 grad_norm: 5.2090 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/10/14 10:01:49 - mmengine - INFO - Epoch(train) [88][420/940] lr: 1.0000e-04 eta: 1:48:40 time: 0.5472 data_time: 0.0238 memory: 31836 grad_norm: 5.2088 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0314 loss: 1.0314 2022/10/14 10:02:00 - mmengine - INFO - Epoch(train) [88][440/940] lr: 1.0000e-04 eta: 1:48:29 time: 0.5409 data_time: 0.0237 memory: 31836 grad_norm: 5.2579 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9105 loss: 0.9105 2022/10/14 10:02:11 - mmengine - INFO - Epoch(train) [88][460/940] lr: 1.0000e-04 eta: 1:48:18 time: 0.5556 data_time: 0.0247 memory: 31836 grad_norm: 5.1295 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8338 loss: 0.8338 2022/10/14 10:02:22 - mmengine - INFO - Epoch(train) [88][480/940] lr: 1.0000e-04 eta: 1:48:07 time: 0.5438 data_time: 0.0252 memory: 31836 grad_norm: 5.1830 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9487 loss: 0.9487 2022/10/14 10:02:33 - mmengine - INFO - Epoch(train) [88][500/940] lr: 1.0000e-04 eta: 1:47:56 time: 0.5522 data_time: 0.0279 memory: 31836 grad_norm: 5.1022 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8134 loss: 0.8134 2022/10/14 10:02:45 - mmengine - INFO - Epoch(train) [88][520/940] lr: 1.0000e-04 eta: 1:47:45 time: 0.5993 data_time: 0.0227 memory: 31836 grad_norm: 5.1622 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9717 loss: 0.9717 2022/10/14 10:02:56 - mmengine - INFO - Epoch(train) [88][540/940] lr: 1.0000e-04 eta: 1:47:34 time: 0.5476 data_time: 0.0349 memory: 31836 grad_norm: 5.1454 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9678 loss: 0.9678 2022/10/14 10:03:07 - mmengine - INFO - Epoch(train) [88][560/940] lr: 1.0000e-04 eta: 1:47:23 time: 0.5408 data_time: 0.0271 memory: 31836 grad_norm: 5.1191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9396 loss: 0.9396 2022/10/14 10:03:18 - mmengine - INFO - Epoch(train) [88][580/940] lr: 1.0000e-04 eta: 1:47:12 time: 0.5456 data_time: 0.0280 memory: 31836 grad_norm: 5.3182 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.0874 loss: 1.0874 2022/10/14 10:03:29 - mmengine - INFO - Epoch(train) [88][600/940] lr: 1.0000e-04 eta: 1:47:01 time: 0.5522 data_time: 0.0255 memory: 31836 grad_norm: 4.9823 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9224 loss: 0.9224 2022/10/14 10:03:40 - mmengine - INFO - Epoch(train) [88][620/940] lr: 1.0000e-04 eta: 1:46:50 time: 0.5476 data_time: 0.0282 memory: 31836 grad_norm: 5.3057 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9290 loss: 0.9290 2022/10/14 10:03:51 - mmengine - INFO - Epoch(train) [88][640/940] lr: 1.0000e-04 eta: 1:46:39 time: 0.5453 data_time: 0.0287 memory: 31836 grad_norm: 5.3489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9421 loss: 0.9421 2022/10/14 10:04:02 - mmengine - INFO - Epoch(train) [88][660/940] lr: 1.0000e-04 eta: 1:46:28 time: 0.5552 data_time: 0.0289 memory: 31836 grad_norm: 5.1838 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8672 loss: 0.8672 2022/10/14 10:04:13 - mmengine - INFO - Epoch(train) [88][680/940] lr: 1.0000e-04 eta: 1:46:17 time: 0.5486 data_time: 0.0245 memory: 31836 grad_norm: 5.1273 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8768 loss: 0.8768 2022/10/14 10:04:24 - mmengine - INFO - Epoch(train) [88][700/940] lr: 1.0000e-04 eta: 1:46:06 time: 0.5406 data_time: 0.0292 memory: 31836 grad_norm: 5.1815 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9754 loss: 0.9754 2022/10/14 10:04:35 - mmengine - INFO - Epoch(train) [88][720/940] lr: 1.0000e-04 eta: 1:45:55 time: 0.5474 data_time: 0.0277 memory: 31836 grad_norm: 5.2911 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9286 loss: 0.9286 2022/10/14 10:04:46 - mmengine - INFO - Epoch(train) [88][740/940] lr: 1.0000e-04 eta: 1:45:43 time: 0.5495 data_time: 0.0375 memory: 31836 grad_norm: 5.0440 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9396 loss: 0.9396 2022/10/14 10:04:57 - mmengine - INFO - Epoch(train) [88][760/940] lr: 1.0000e-04 eta: 1:45:32 time: 0.5552 data_time: 0.0243 memory: 31836 grad_norm: 5.2762 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/10/14 10:05:08 - mmengine - INFO - Epoch(train) [88][780/940] lr: 1.0000e-04 eta: 1:45:21 time: 0.5449 data_time: 0.0280 memory: 31836 grad_norm: 5.1505 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9337 loss: 0.9337 2022/10/14 10:05:19 - mmengine - INFO - Epoch(train) [88][800/940] lr: 1.0000e-04 eta: 1:45:10 time: 0.5502 data_time: 0.0291 memory: 31836 grad_norm: 5.2846 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9427 loss: 0.9427 2022/10/14 10:05:30 - mmengine - INFO - Epoch(train) [88][820/940] lr: 1.0000e-04 eta: 1:44:59 time: 0.5458 data_time: 0.0256 memory: 31836 grad_norm: 5.2533 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7940 loss: 0.7940 2022/10/14 10:05:41 - mmengine - INFO - Epoch(train) [88][840/940] lr: 1.0000e-04 eta: 1:44:48 time: 0.5484 data_time: 0.0308 memory: 31836 grad_norm: 5.0407 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9596 loss: 0.9596 2022/10/14 10:05:51 - mmengine - INFO - Epoch(train) [88][860/940] lr: 1.0000e-04 eta: 1:44:37 time: 0.5443 data_time: 0.0272 memory: 31836 grad_norm: 5.2485 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9583 loss: 0.9583 2022/10/14 10:06:02 - mmengine - INFO - Epoch(train) [88][880/940] lr: 1.0000e-04 eta: 1:44:26 time: 0.5480 data_time: 0.0266 memory: 31836 grad_norm: 5.2386 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/10/14 10:06:13 - mmengine - INFO - Epoch(train) [88][900/940] lr: 1.0000e-04 eta: 1:44:15 time: 0.5463 data_time: 0.0352 memory: 31836 grad_norm: 5.3518 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0121 loss: 1.0121 2022/10/14 10:06:24 - mmengine - INFO - Epoch(train) [88][920/940] lr: 1.0000e-04 eta: 1:44:04 time: 0.5483 data_time: 0.0293 memory: 31836 grad_norm: 5.2725 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9393 loss: 0.9393 2022/10/14 10:06:35 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:06:35 - mmengine - INFO - Epoch(train) [88][940/940] lr: 1.0000e-04 eta: 1:43:53 time: 0.5127 data_time: 0.0255 memory: 31836 grad_norm: 5.5405 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.0583 loss: 1.0583 2022/10/14 10:06:47 - mmengine - INFO - Epoch(val) [88][20/78] eta: 0:00:35 time: 0.6171 data_time: 0.4656 memory: 3561 2022/10/14 10:06:56 - mmengine - INFO - Epoch(val) [88][40/78] eta: 0:00:16 time: 0.4440 data_time: 0.2946 memory: 3561 2022/10/14 10:07:07 - mmengine - INFO - Epoch(val) [88][60/78] eta: 0:00:10 time: 0.5619 data_time: 0.4112 memory: 3561 2022/10/14 10:07:18 - mmengine - INFO - Epoch(val) [88][78/78] acc/top1: 0.6925 acc/top5: 0.8799 acc/mean1: 0.6924 2022/10/14 10:07:34 - mmengine - INFO - Epoch(train) [89][20/940] lr: 1.0000e-04 eta: 1:43:42 time: 0.8106 data_time: 0.2086 memory: 31836 grad_norm: 5.0465 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8475 loss: 0.8475 2022/10/14 10:07:45 - mmengine - INFO - Epoch(train) [89][40/940] lr: 1.0000e-04 eta: 1:43:31 time: 0.5505 data_time: 0.0261 memory: 31836 grad_norm: 5.0554 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8864 loss: 0.8864 2022/10/14 10:07:56 - mmengine - INFO - Epoch(train) [89][60/940] lr: 1.0000e-04 eta: 1:43:20 time: 0.5560 data_time: 0.0288 memory: 31836 grad_norm: 5.2980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9129 loss: 0.9129 2022/10/14 10:08:07 - mmengine - INFO - Epoch(train) [89][80/940] lr: 1.0000e-04 eta: 1:43:09 time: 0.5409 data_time: 0.0226 memory: 31836 grad_norm: 5.2319 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/10/14 10:08:18 - mmengine - INFO - Epoch(train) [89][100/940] lr: 1.0000e-04 eta: 1:42:58 time: 0.5596 data_time: 0.0252 memory: 31836 grad_norm: 5.4331 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9674 loss: 0.9674 2022/10/14 10:08:29 - mmengine - INFO - Epoch(train) [89][120/940] lr: 1.0000e-04 eta: 1:42:47 time: 0.5456 data_time: 0.0310 memory: 31836 grad_norm: 5.1309 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9619 loss: 0.9619 2022/10/14 10:08:40 - mmengine - INFO - Epoch(train) [89][140/940] lr: 1.0000e-04 eta: 1:42:36 time: 0.5510 data_time: 0.0277 memory: 31836 grad_norm: 5.3311 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8286 loss: 0.8286 2022/10/14 10:08:51 - mmengine - INFO - Epoch(train) [89][160/940] lr: 1.0000e-04 eta: 1:42:25 time: 0.5466 data_time: 0.0261 memory: 31836 grad_norm: 5.2123 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8708 loss: 0.8708 2022/10/14 10:09:02 - mmengine - INFO - Epoch(train) [89][180/940] lr: 1.0000e-04 eta: 1:42:14 time: 0.5490 data_time: 0.0245 memory: 31836 grad_norm: 5.1411 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0610 loss: 1.0610 2022/10/14 10:09:13 - mmengine - INFO - Epoch(train) [89][200/940] lr: 1.0000e-04 eta: 1:42:03 time: 0.5406 data_time: 0.0287 memory: 31836 grad_norm: 5.1624 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9165 loss: 0.9165 2022/10/14 10:09:24 - mmengine - INFO - Epoch(train) [89][220/940] lr: 1.0000e-04 eta: 1:41:52 time: 0.5522 data_time: 0.0294 memory: 31836 grad_norm: 5.1996 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8001 loss: 0.8001 2022/10/14 10:09:35 - mmengine - INFO - Epoch(train) [89][240/940] lr: 1.0000e-04 eta: 1:41:41 time: 0.5428 data_time: 0.0263 memory: 31836 grad_norm: 5.1995 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8512 loss: 0.8512 2022/10/14 10:09:46 - mmengine - INFO - Epoch(train) [89][260/940] lr: 1.0000e-04 eta: 1:41:30 time: 0.5448 data_time: 0.0312 memory: 31836 grad_norm: 5.2968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9333 loss: 0.9333 2022/10/14 10:09:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:09:56 - mmengine - INFO - Epoch(train) [89][280/940] lr: 1.0000e-04 eta: 1:41:19 time: 0.5476 data_time: 0.0254 memory: 31836 grad_norm: 5.2651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9120 loss: 0.9120 2022/10/14 10:10:07 - mmengine - INFO - Epoch(train) [89][300/940] lr: 1.0000e-04 eta: 1:41:07 time: 0.5500 data_time: 0.0262 memory: 31836 grad_norm: 5.1889 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9031 loss: 0.9031 2022/10/14 10:10:18 - mmengine - INFO - Epoch(train) [89][320/940] lr: 1.0000e-04 eta: 1:40:56 time: 0.5428 data_time: 0.0283 memory: 31836 grad_norm: 5.2153 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8243 loss: 0.8243 2022/10/14 10:10:29 - mmengine - INFO - Epoch(train) [89][340/940] lr: 1.0000e-04 eta: 1:40:45 time: 0.5516 data_time: 0.0253 memory: 31836 grad_norm: 5.1104 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8910 loss: 0.8910 2022/10/14 10:10:40 - mmengine - INFO - Epoch(train) [89][360/940] lr: 1.0000e-04 eta: 1:40:34 time: 0.5500 data_time: 0.0275 memory: 31836 grad_norm: 5.1106 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8880 loss: 0.8880 2022/10/14 10:10:51 - mmengine - INFO - Epoch(train) [89][380/940] lr: 1.0000e-04 eta: 1:40:23 time: 0.5418 data_time: 0.0259 memory: 31836 grad_norm: 5.1611 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9253 loss: 0.9253 2022/10/14 10:11:02 - mmengine - INFO - Epoch(train) [89][400/940] lr: 1.0000e-04 eta: 1:40:12 time: 0.5406 data_time: 0.0275 memory: 31836 grad_norm: 5.2106 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/10/14 10:11:13 - mmengine - INFO - Epoch(train) [89][420/940] lr: 1.0000e-04 eta: 1:40:01 time: 0.5446 data_time: 0.0272 memory: 31836 grad_norm: 5.1476 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9015 loss: 0.9015 2022/10/14 10:11:24 - mmengine - INFO - Epoch(train) [89][440/940] lr: 1.0000e-04 eta: 1:39:50 time: 0.5439 data_time: 0.0285 memory: 31836 grad_norm: 5.2484 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9021 loss: 0.9021 2022/10/14 10:11:35 - mmengine - INFO - Epoch(train) [89][460/940] lr: 1.0000e-04 eta: 1:39:39 time: 0.5523 data_time: 0.0244 memory: 31836 grad_norm: 5.0448 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8712 loss: 0.8712 2022/10/14 10:11:46 - mmengine - INFO - Epoch(train) [89][480/940] lr: 1.0000e-04 eta: 1:39:28 time: 0.5519 data_time: 0.0238 memory: 31836 grad_norm: 5.1847 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8715 loss: 0.8715 2022/10/14 10:11:57 - mmengine - INFO - Epoch(train) [89][500/940] lr: 1.0000e-04 eta: 1:39:17 time: 0.5436 data_time: 0.0260 memory: 31836 grad_norm: 5.1342 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8227 loss: 0.8227 2022/10/14 10:12:08 - mmengine - INFO - Epoch(train) [89][520/940] lr: 1.0000e-04 eta: 1:39:06 time: 0.5499 data_time: 0.0265 memory: 31836 grad_norm: 5.2752 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9338 loss: 0.9338 2022/10/14 10:12:19 - mmengine - INFO - Epoch(train) [89][540/940] lr: 1.0000e-04 eta: 1:38:55 time: 0.5583 data_time: 0.0285 memory: 31836 grad_norm: 5.1683 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9153 loss: 0.9153 2022/10/14 10:12:30 - mmengine - INFO - Epoch(train) [89][560/940] lr: 1.0000e-04 eta: 1:38:44 time: 0.5439 data_time: 0.0252 memory: 31836 grad_norm: 5.2385 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8172 loss: 0.8172 2022/10/14 10:12:41 - mmengine - INFO - Epoch(train) [89][580/940] lr: 1.0000e-04 eta: 1:38:33 time: 0.5521 data_time: 0.0306 memory: 31836 grad_norm: 5.1810 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9163 loss: 0.9163 2022/10/14 10:12:52 - mmengine - INFO - Epoch(train) [89][600/940] lr: 1.0000e-04 eta: 1:38:21 time: 0.5478 data_time: 0.0339 memory: 31836 grad_norm: 5.3394 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.8659 loss: 0.8659 2022/10/14 10:13:03 - mmengine - INFO - Epoch(train) [89][620/940] lr: 1.0000e-04 eta: 1:38:10 time: 0.5441 data_time: 0.0262 memory: 31836 grad_norm: 5.3490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9042 loss: 0.9042 2022/10/14 10:13:14 - mmengine - INFO - Epoch(train) [89][640/940] lr: 1.0000e-04 eta: 1:37:59 time: 0.5545 data_time: 0.0297 memory: 31836 grad_norm: 5.1817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8720 loss: 0.8720 2022/10/14 10:13:25 - mmengine - INFO - Epoch(train) [89][660/940] lr: 1.0000e-04 eta: 1:37:48 time: 0.5588 data_time: 0.0259 memory: 31836 grad_norm: 5.2677 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9142 loss: 0.9142 2022/10/14 10:13:36 - mmengine - INFO - Epoch(train) [89][680/940] lr: 1.0000e-04 eta: 1:37:37 time: 0.5518 data_time: 0.0283 memory: 31836 grad_norm: 5.3329 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9176 loss: 0.9176 2022/10/14 10:13:47 - mmengine - INFO - Epoch(train) [89][700/940] lr: 1.0000e-04 eta: 1:37:26 time: 0.5467 data_time: 0.0261 memory: 31836 grad_norm: 5.1973 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0156 loss: 1.0156 2022/10/14 10:13:58 - mmengine - INFO - Epoch(train) [89][720/940] lr: 1.0000e-04 eta: 1:37:15 time: 0.5459 data_time: 0.0257 memory: 31836 grad_norm: 5.2323 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/10/14 10:14:09 - mmengine - INFO - Epoch(train) [89][740/940] lr: 1.0000e-04 eta: 1:37:04 time: 0.5441 data_time: 0.0308 memory: 31836 grad_norm: 5.3141 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0260 loss: 1.0260 2022/10/14 10:14:20 - mmengine - INFO - Epoch(train) [89][760/940] lr: 1.0000e-04 eta: 1:36:53 time: 0.5515 data_time: 0.0289 memory: 31836 grad_norm: 5.1760 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8755 loss: 0.8755 2022/10/14 10:14:31 - mmengine - INFO - Epoch(train) [89][780/940] lr: 1.0000e-04 eta: 1:36:42 time: 0.5407 data_time: 0.0281 memory: 31836 grad_norm: 5.2642 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8180 loss: 0.8180 2022/10/14 10:14:41 - mmengine - INFO - Epoch(train) [89][800/940] lr: 1.0000e-04 eta: 1:36:31 time: 0.5409 data_time: 0.0260 memory: 31836 grad_norm: 5.2350 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9668 loss: 0.9668 2022/10/14 10:14:53 - mmengine - INFO - Epoch(train) [89][820/940] lr: 1.0000e-04 eta: 1:36:20 time: 0.5567 data_time: 0.0275 memory: 31836 grad_norm: 5.2532 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8823 loss: 0.8823 2022/10/14 10:15:03 - mmengine - INFO - Epoch(train) [89][840/940] lr: 1.0000e-04 eta: 1:36:09 time: 0.5415 data_time: 0.0310 memory: 31836 grad_norm: 5.1441 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9010 loss: 0.9010 2022/10/14 10:15:14 - mmengine - INFO - Epoch(train) [89][860/940] lr: 1.0000e-04 eta: 1:35:58 time: 0.5459 data_time: 0.0349 memory: 31836 grad_norm: 5.2784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9899 loss: 0.9899 2022/10/14 10:15:25 - mmengine - INFO - Epoch(train) [89][880/940] lr: 1.0000e-04 eta: 1:35:47 time: 0.5498 data_time: 0.0231 memory: 31836 grad_norm: 5.1538 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8861 loss: 0.8861 2022/10/14 10:15:36 - mmengine - INFO - Epoch(train) [89][900/940] lr: 1.0000e-04 eta: 1:35:36 time: 0.5471 data_time: 0.0287 memory: 31836 grad_norm: 5.3845 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0273 loss: 1.0273 2022/10/14 10:15:47 - mmengine - INFO - Epoch(train) [89][920/940] lr: 1.0000e-04 eta: 1:35:24 time: 0.5427 data_time: 0.0249 memory: 31836 grad_norm: 5.2264 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9330 loss: 0.9330 2022/10/14 10:15:57 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:15:57 - mmengine - INFO - Epoch(train) [89][940/940] lr: 1.0000e-04 eta: 1:35:13 time: 0.5150 data_time: 0.0237 memory: 31836 grad_norm: 5.5070 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/10/14 10:16:15 - mmengine - INFO - Epoch(val) [89][20/78] eta: 0:00:49 time: 0.8603 data_time: 0.7113 memory: 3561 2022/10/14 10:16:23 - mmengine - INFO - Epoch(val) [89][40/78] eta: 0:00:16 time: 0.4382 data_time: 0.2898 memory: 3561 2022/10/14 10:16:35 - mmengine - INFO - Epoch(val) [89][60/78] eta: 0:00:10 time: 0.5754 data_time: 0.4269 memory: 3561 2022/10/14 10:16:44 - mmengine - INFO - Epoch(val) [89][78/78] acc/top1: 0.6923 acc/top5: 0.8800 acc/mean1: 0.6922 2022/10/14 10:17:00 - mmengine - INFO - Epoch(train) [90][20/940] lr: 1.0000e-04 eta: 1:35:03 time: 0.7931 data_time: 0.2182 memory: 31836 grad_norm: 5.3073 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8913 loss: 0.8913 2022/10/14 10:17:11 - mmengine - INFO - Epoch(train) [90][40/940] lr: 1.0000e-04 eta: 1:34:52 time: 0.5562 data_time: 0.0261 memory: 31836 grad_norm: 5.3152 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8499 loss: 0.8499 2022/10/14 10:17:22 - mmengine - INFO - Epoch(train) [90][60/940] lr: 1.0000e-04 eta: 1:34:41 time: 0.5619 data_time: 0.0336 memory: 31836 grad_norm: 5.0365 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9366 loss: 0.9366 2022/10/14 10:17:33 - mmengine - INFO - Epoch(train) [90][80/940] lr: 1.0000e-04 eta: 1:34:30 time: 0.5559 data_time: 0.0333 memory: 31836 grad_norm: 5.2295 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8591 loss: 0.8591 2022/10/14 10:17:44 - mmengine - INFO - Epoch(train) [90][100/940] lr: 1.0000e-04 eta: 1:34:19 time: 0.5524 data_time: 0.0226 memory: 31836 grad_norm: 5.1505 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8071 loss: 0.8071 2022/10/14 10:17:55 - mmengine - INFO - Epoch(train) [90][120/940] lr: 1.0000e-04 eta: 1:34:08 time: 0.5416 data_time: 0.0243 memory: 31836 grad_norm: 5.2373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/10/14 10:18:06 - mmengine - INFO - Epoch(train) [90][140/940] lr: 1.0000e-04 eta: 1:33:57 time: 0.5414 data_time: 0.0284 memory: 31836 grad_norm: 5.1793 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9323 loss: 0.9323 2022/10/14 10:18:17 - mmengine - INFO - Epoch(train) [90][160/940] lr: 1.0000e-04 eta: 1:33:45 time: 0.5455 data_time: 0.0303 memory: 31836 grad_norm: 5.1954 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0049 loss: 1.0049 2022/10/14 10:18:28 - mmengine - INFO - Epoch(train) [90][180/940] lr: 1.0000e-04 eta: 1:33:34 time: 0.5520 data_time: 0.0306 memory: 31836 grad_norm: 5.0063 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8578 loss: 0.8578 2022/10/14 10:18:39 - mmengine - INFO - Epoch(train) [90][200/940] lr: 1.0000e-04 eta: 1:33:23 time: 0.5454 data_time: 0.0266 memory: 31836 grad_norm: 5.1475 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8924 loss: 0.8924 2022/10/14 10:18:49 - mmengine - INFO - Epoch(train) [90][220/940] lr: 1.0000e-04 eta: 1:33:12 time: 0.5407 data_time: 0.0256 memory: 31836 grad_norm: 5.2044 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.0035 loss: 1.0035 2022/10/14 10:19:00 - mmengine - INFO - Epoch(train) [90][240/940] lr: 1.0000e-04 eta: 1:33:01 time: 0.5474 data_time: 0.0256 memory: 31836 grad_norm: 5.1434 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8733 loss: 0.8733 2022/10/14 10:19:11 - mmengine - INFO - Epoch(train) [90][260/940] lr: 1.0000e-04 eta: 1:32:50 time: 0.5491 data_time: 0.0284 memory: 31836 grad_norm: 5.0669 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/10/14 10:19:22 - mmengine - INFO - Epoch(train) [90][280/940] lr: 1.0000e-04 eta: 1:32:39 time: 0.5535 data_time: 0.0288 memory: 31836 grad_norm: 5.0676 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8716 loss: 0.8716 2022/10/14 10:19:33 - mmengine - INFO - Epoch(train) [90][300/940] lr: 1.0000e-04 eta: 1:32:28 time: 0.5490 data_time: 0.0353 memory: 31836 grad_norm: 5.1858 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1147 loss: 1.1147 2022/10/14 10:19:45 - mmengine - INFO - Epoch(train) [90][320/940] lr: 1.0000e-04 eta: 1:32:17 time: 0.5876 data_time: 0.0290 memory: 31836 grad_norm: 5.2333 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8461 loss: 0.8461 2022/10/14 10:19:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:19:56 - mmengine - INFO - Epoch(train) [90][340/940] lr: 1.0000e-04 eta: 1:32:06 time: 0.5554 data_time: 0.0247 memory: 31836 grad_norm: 5.2738 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9108 loss: 0.9108 2022/10/14 10:20:08 - mmengine - INFO - Epoch(train) [90][360/940] lr: 1.0000e-04 eta: 1:31:55 time: 0.5916 data_time: 0.0479 memory: 31836 grad_norm: 5.0710 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8604 loss: 0.8604 2022/10/14 10:20:19 - mmengine - INFO - Epoch(train) [90][380/940] lr: 1.0000e-04 eta: 1:31:44 time: 0.5640 data_time: 0.0232 memory: 31836 grad_norm: 5.1956 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8840 loss: 0.8840 2022/10/14 10:20:30 - mmengine - INFO - Epoch(train) [90][400/940] lr: 1.0000e-04 eta: 1:31:33 time: 0.5510 data_time: 0.0320 memory: 31836 grad_norm: 5.0708 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9038 loss: 0.9038 2022/10/14 10:20:41 - mmengine - INFO - Epoch(train) [90][420/940] lr: 1.0000e-04 eta: 1:31:22 time: 0.5470 data_time: 0.0251 memory: 31836 grad_norm: 5.2854 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9144 loss: 0.9144 2022/10/14 10:20:52 - mmengine - INFO - Epoch(train) [90][440/940] lr: 1.0000e-04 eta: 1:31:11 time: 0.5521 data_time: 0.0268 memory: 31836 grad_norm: 5.1813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8849 loss: 0.8849 2022/10/14 10:21:03 - mmengine - INFO - Epoch(train) [90][460/940] lr: 1.0000e-04 eta: 1:31:00 time: 0.5415 data_time: 0.0257 memory: 31836 grad_norm: 5.2174 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/10/14 10:21:14 - mmengine - INFO - Epoch(train) [90][480/940] lr: 1.0000e-04 eta: 1:30:49 time: 0.5507 data_time: 0.0299 memory: 31836 grad_norm: 5.1619 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9120 loss: 0.9120 2022/10/14 10:21:25 - mmengine - INFO - Epoch(train) [90][500/940] lr: 1.0000e-04 eta: 1:30:38 time: 0.5499 data_time: 0.0295 memory: 31836 grad_norm: 5.1050 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9273 loss: 0.9273 2022/10/14 10:21:36 - mmengine - INFO - Epoch(train) [90][520/940] lr: 1.0000e-04 eta: 1:30:27 time: 0.5445 data_time: 0.0258 memory: 31836 grad_norm: 5.0628 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9315 loss: 0.9315 2022/10/14 10:21:47 - mmengine - INFO - Epoch(train) [90][540/940] lr: 1.0000e-04 eta: 1:30:15 time: 0.5423 data_time: 0.0321 memory: 31836 grad_norm: 5.1351 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9028 loss: 0.9028 2022/10/14 10:21:58 - mmengine - INFO - Epoch(train) [90][560/940] lr: 1.0000e-04 eta: 1:30:04 time: 0.5474 data_time: 0.0282 memory: 31836 grad_norm: 5.1821 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8187 loss: 0.8187 2022/10/14 10:22:09 - mmengine - INFO - Epoch(train) [90][580/940] lr: 1.0000e-04 eta: 1:29:53 time: 0.5479 data_time: 0.0281 memory: 31836 grad_norm: 5.3196 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8655 loss: 0.8655 2022/10/14 10:22:20 - mmengine - INFO - Epoch(train) [90][600/940] lr: 1.0000e-04 eta: 1:29:42 time: 0.5419 data_time: 0.0248 memory: 31836 grad_norm: 5.2009 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9595 loss: 0.9595 2022/10/14 10:22:31 - mmengine - INFO - Epoch(train) [90][620/940] lr: 1.0000e-04 eta: 1:29:31 time: 0.5431 data_time: 0.0279 memory: 31836 grad_norm: 5.1724 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8825 loss: 0.8825 2022/10/14 10:22:42 - mmengine - INFO - Epoch(train) [90][640/940] lr: 1.0000e-04 eta: 1:29:20 time: 0.5486 data_time: 0.0292 memory: 31836 grad_norm: 5.2552 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8822 loss: 0.8822 2022/10/14 10:22:53 - mmengine - INFO - Epoch(train) [90][660/940] lr: 1.0000e-04 eta: 1:29:09 time: 0.5537 data_time: 0.0356 memory: 31836 grad_norm: 5.2256 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9706 loss: 0.9706 2022/10/14 10:23:04 - mmengine - INFO - Epoch(train) [90][680/940] lr: 1.0000e-04 eta: 1:28:58 time: 0.5481 data_time: 0.0255 memory: 31836 grad_norm: 5.1352 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9170 loss: 0.9170 2022/10/14 10:23:15 - mmengine - INFO - Epoch(train) [90][700/940] lr: 1.0000e-04 eta: 1:28:47 time: 0.5458 data_time: 0.0326 memory: 31836 grad_norm: 5.2046 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8391 loss: 0.8391 2022/10/14 10:23:26 - mmengine - INFO - Epoch(train) [90][720/940] lr: 1.0000e-04 eta: 1:28:36 time: 0.5501 data_time: 0.0296 memory: 31836 grad_norm: 5.0949 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0170 loss: 1.0170 2022/10/14 10:23:37 - mmengine - INFO - Epoch(train) [90][740/940] lr: 1.0000e-04 eta: 1:28:25 time: 0.5463 data_time: 0.0289 memory: 31836 grad_norm: 5.2477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9739 loss: 0.9739 2022/10/14 10:23:47 - mmengine - INFO - Epoch(train) [90][760/940] lr: 1.0000e-04 eta: 1:28:14 time: 0.5484 data_time: 0.0297 memory: 31836 grad_norm: 5.2467 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9604 loss: 0.9604 2022/10/14 10:23:59 - mmengine - INFO - Epoch(train) [90][780/940] lr: 1.0000e-04 eta: 1:28:03 time: 0.5520 data_time: 0.0229 memory: 31836 grad_norm: 5.1656 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7888 loss: 0.7888 2022/10/14 10:24:09 - mmengine - INFO - Epoch(train) [90][800/940] lr: 1.0000e-04 eta: 1:27:52 time: 0.5472 data_time: 0.0269 memory: 31836 grad_norm: 5.1664 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0182 loss: 1.0182 2022/10/14 10:24:20 - mmengine - INFO - Epoch(train) [90][820/940] lr: 1.0000e-04 eta: 1:27:41 time: 0.5460 data_time: 0.0325 memory: 31836 grad_norm: 5.2589 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8901 loss: 0.8901 2022/10/14 10:24:31 - mmengine - INFO - Epoch(train) [90][840/940] lr: 1.0000e-04 eta: 1:27:30 time: 0.5461 data_time: 0.0271 memory: 31836 grad_norm: 5.0990 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8793 loss: 0.8793 2022/10/14 10:24:42 - mmengine - INFO - Epoch(train) [90][860/940] lr: 1.0000e-04 eta: 1:27:18 time: 0.5469 data_time: 0.0276 memory: 31836 grad_norm: 5.1721 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0050 loss: 1.0050 2022/10/14 10:24:53 - mmengine - INFO - Epoch(train) [90][880/940] lr: 1.0000e-04 eta: 1:27:07 time: 0.5450 data_time: 0.0257 memory: 31836 grad_norm: 5.2043 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9544 loss: 0.9544 2022/10/14 10:25:04 - mmengine - INFO - Epoch(train) [90][900/940] lr: 1.0000e-04 eta: 1:26:56 time: 0.5373 data_time: 0.0247 memory: 31836 grad_norm: 5.1512 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8877 loss: 0.8877 2022/10/14 10:25:15 - mmengine - INFO - Epoch(train) [90][920/940] lr: 1.0000e-04 eta: 1:26:45 time: 0.5392 data_time: 0.0284 memory: 31836 grad_norm: 5.1367 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9498 loss: 0.9498 2022/10/14 10:25:25 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:25:25 - mmengine - INFO - Epoch(train) [90][940/940] lr: 1.0000e-04 eta: 1:26:34 time: 0.5130 data_time: 0.0271 memory: 31836 grad_norm: 5.4512 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9595 loss: 0.9595 2022/10/14 10:25:25 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/10/14 10:25:41 - mmengine - INFO - Epoch(val) [90][20/78] eta: 0:00:41 time: 0.7077 data_time: 0.5572 memory: 3561 2022/10/14 10:25:50 - mmengine - INFO - Epoch(val) [90][40/78] eta: 0:00:18 time: 0.4918 data_time: 0.3416 memory: 3561 2022/10/14 10:26:04 - mmengine - INFO - Epoch(val) [90][60/78] eta: 0:00:12 time: 0.6753 data_time: 0.5260 memory: 3561 2022/10/14 10:26:12 - mmengine - INFO - Epoch(val) [90][78/78] acc/top1: 0.6913 acc/top5: 0.8803 acc/mean1: 0.6912 2022/10/14 10:26:28 - mmengine - INFO - Epoch(train) [91][20/940] lr: 1.0000e-04 eta: 1:26:24 time: 0.7828 data_time: 0.2213 memory: 31836 grad_norm: 5.2046 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7597 loss: 0.7597 2022/10/14 10:26:39 - mmengine - INFO - Epoch(train) [91][40/940] lr: 1.0000e-04 eta: 1:26:12 time: 0.5569 data_time: 0.0258 memory: 31836 grad_norm: 5.1581 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.8889 loss: 0.8889 2022/10/14 10:26:50 - mmengine - INFO - Epoch(train) [91][60/940] lr: 1.0000e-04 eta: 1:26:01 time: 0.5582 data_time: 0.0252 memory: 31836 grad_norm: 5.0974 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9112 loss: 0.9112 2022/10/14 10:27:01 - mmengine - INFO - Epoch(train) [91][80/940] lr: 1.0000e-04 eta: 1:25:50 time: 0.5536 data_time: 0.0291 memory: 31836 grad_norm: 5.1823 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8619 loss: 0.8619 2022/10/14 10:27:12 - mmengine - INFO - Epoch(train) [91][100/940] lr: 1.0000e-04 eta: 1:25:39 time: 0.5520 data_time: 0.0281 memory: 31836 grad_norm: 5.3473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/10/14 10:27:23 - mmengine - INFO - Epoch(train) [91][120/940] lr: 1.0000e-04 eta: 1:25:28 time: 0.5450 data_time: 0.0279 memory: 31836 grad_norm: 5.2703 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/10/14 10:27:34 - mmengine - INFO - Epoch(train) [91][140/940] lr: 1.0000e-04 eta: 1:25:17 time: 0.5478 data_time: 0.0313 memory: 31836 grad_norm: 5.2766 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9982 loss: 0.9982 2022/10/14 10:27:45 - mmengine - INFO - Epoch(train) [91][160/940] lr: 1.0000e-04 eta: 1:25:06 time: 0.5446 data_time: 0.0292 memory: 31836 grad_norm: 4.9710 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8777 loss: 0.8777 2022/10/14 10:27:56 - mmengine - INFO - Epoch(train) [91][180/940] lr: 1.0000e-04 eta: 1:24:55 time: 0.5439 data_time: 0.0286 memory: 31836 grad_norm: 5.2938 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/10/14 10:28:07 - mmengine - INFO - Epoch(train) [91][200/940] lr: 1.0000e-04 eta: 1:24:44 time: 0.5421 data_time: 0.0274 memory: 31836 grad_norm: 5.1137 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0648 loss: 1.0648 2022/10/14 10:28:18 - mmengine - INFO - Epoch(train) [91][220/940] lr: 1.0000e-04 eta: 1:24:33 time: 0.5432 data_time: 0.0255 memory: 31836 grad_norm: 5.3839 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8916 loss: 0.8916 2022/10/14 10:28:29 - mmengine - INFO - Epoch(train) [91][240/940] lr: 1.0000e-04 eta: 1:24:22 time: 0.5497 data_time: 0.0277 memory: 31836 grad_norm: 5.1048 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8389 loss: 0.8389 2022/10/14 10:28:40 - mmengine - INFO - Epoch(train) [91][260/940] lr: 1.0000e-04 eta: 1:24:11 time: 0.5474 data_time: 0.0336 memory: 31836 grad_norm: 5.2178 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9752 loss: 0.9752 2022/10/14 10:28:51 - mmengine - INFO - Epoch(train) [91][280/940] lr: 1.0000e-04 eta: 1:24:00 time: 0.5480 data_time: 0.0274 memory: 31836 grad_norm: 5.2566 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8551 loss: 0.8551 2022/10/14 10:29:01 - mmengine - INFO - Epoch(train) [91][300/940] lr: 1.0000e-04 eta: 1:23:49 time: 0.5401 data_time: 0.0248 memory: 31836 grad_norm: 4.9830 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7934 loss: 0.7934 2022/10/14 10:29:12 - mmengine - INFO - Epoch(train) [91][320/940] lr: 1.0000e-04 eta: 1:23:38 time: 0.5463 data_time: 0.0244 memory: 31836 grad_norm: 5.1785 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9247 loss: 0.9247 2022/10/14 10:29:23 - mmengine - INFO - Epoch(train) [91][340/940] lr: 1.0000e-04 eta: 1:23:27 time: 0.5497 data_time: 0.0280 memory: 31836 grad_norm: 5.2967 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8775 loss: 0.8775 2022/10/14 10:29:34 - mmengine - INFO - Epoch(train) [91][360/940] lr: 1.0000e-04 eta: 1:23:15 time: 0.5465 data_time: 0.0266 memory: 31836 grad_norm: 5.1143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9552 loss: 0.9552 2022/10/14 10:29:45 - mmengine - INFO - Epoch(train) [91][380/940] lr: 1.0000e-04 eta: 1:23:04 time: 0.5463 data_time: 0.0277 memory: 31836 grad_norm: 5.3988 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9290 loss: 0.9290 2022/10/14 10:29:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:29:56 - mmengine - INFO - Epoch(train) [91][400/940] lr: 1.0000e-04 eta: 1:22:53 time: 0.5542 data_time: 0.0279 memory: 31836 grad_norm: 5.2788 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0275 loss: 1.0275 2022/10/14 10:30:07 - mmengine - INFO - Epoch(train) [91][420/940] lr: 1.0000e-04 eta: 1:22:42 time: 0.5551 data_time: 0.0265 memory: 31836 grad_norm: 5.2531 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/10/14 10:30:19 - mmengine - INFO - Epoch(train) [91][440/940] lr: 1.0000e-04 eta: 1:22:31 time: 0.5567 data_time: 0.0325 memory: 31836 grad_norm: 5.0317 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9445 loss: 0.9445 2022/10/14 10:30:30 - mmengine - INFO - Epoch(train) [91][460/940] lr: 1.0000e-04 eta: 1:22:20 time: 0.5582 data_time: 0.0260 memory: 31836 grad_norm: 5.1269 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8743 loss: 0.8743 2022/10/14 10:30:41 - mmengine - INFO - Epoch(train) [91][480/940] lr: 1.0000e-04 eta: 1:22:09 time: 0.5490 data_time: 0.0297 memory: 31836 grad_norm: 5.2028 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8858 loss: 0.8858 2022/10/14 10:30:52 - mmengine - INFO - Epoch(train) [91][500/940] lr: 1.0000e-04 eta: 1:21:58 time: 0.5823 data_time: 0.0265 memory: 31836 grad_norm: 5.1096 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8620 loss: 0.8620 2022/10/14 10:31:03 - mmengine - INFO - Epoch(train) [91][520/940] lr: 1.0000e-04 eta: 1:21:47 time: 0.5492 data_time: 0.0235 memory: 31836 grad_norm: 5.1683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9691 loss: 0.9691 2022/10/14 10:31:14 - mmengine - INFO - Epoch(train) [91][540/940] lr: 1.0000e-04 eta: 1:21:36 time: 0.5514 data_time: 0.0319 memory: 31836 grad_norm: 5.1874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9306 loss: 0.9306 2022/10/14 10:31:25 - mmengine - INFO - Epoch(train) [91][560/940] lr: 1.0000e-04 eta: 1:21:25 time: 0.5432 data_time: 0.0313 memory: 31836 grad_norm: 5.2244 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9562 loss: 0.9562 2022/10/14 10:31:36 - mmengine - INFO - Epoch(train) [91][580/940] lr: 1.0000e-04 eta: 1:21:14 time: 0.5464 data_time: 0.0258 memory: 31836 grad_norm: 5.2171 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9161 loss: 0.9161 2022/10/14 10:31:47 - mmengine - INFO - Epoch(train) [91][600/940] lr: 1.0000e-04 eta: 1:21:03 time: 0.5465 data_time: 0.0291 memory: 31836 grad_norm: 5.2695 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8708 loss: 0.8708 2022/10/14 10:31:58 - mmengine - INFO - Epoch(train) [91][620/940] lr: 1.0000e-04 eta: 1:20:52 time: 0.5427 data_time: 0.0255 memory: 31836 grad_norm: 5.1687 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9038 loss: 0.9038 2022/10/14 10:32:09 - mmengine - INFO - Epoch(train) [91][640/940] lr: 1.0000e-04 eta: 1:20:41 time: 0.5458 data_time: 0.0236 memory: 31836 grad_norm: 5.2352 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9307 loss: 0.9307 2022/10/14 10:32:20 - mmengine - INFO - Epoch(train) [91][660/940] lr: 1.0000e-04 eta: 1:20:30 time: 0.5476 data_time: 0.0257 memory: 31836 grad_norm: 5.1617 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9364 loss: 0.9364 2022/10/14 10:32:31 - mmengine - INFO - Epoch(train) [91][680/940] lr: 1.0000e-04 eta: 1:20:19 time: 0.5481 data_time: 0.0267 memory: 31836 grad_norm: 5.2946 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9557 loss: 0.9557 2022/10/14 10:32:42 - mmengine - INFO - Epoch(train) [91][700/940] lr: 1.0000e-04 eta: 1:20:07 time: 0.5467 data_time: 0.0351 memory: 31836 grad_norm: 5.1997 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8042 loss: 0.8042 2022/10/14 10:32:53 - mmengine - INFO - Epoch(train) [91][720/940] lr: 1.0000e-04 eta: 1:19:56 time: 0.5574 data_time: 0.0274 memory: 31836 grad_norm: 5.1179 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7855 loss: 0.7855 2022/10/14 10:33:04 - mmengine - INFO - Epoch(train) [91][740/940] lr: 1.0000e-04 eta: 1:19:45 time: 0.5439 data_time: 0.0251 memory: 31836 grad_norm: 5.1749 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8394 loss: 0.8394 2022/10/14 10:33:15 - mmengine - INFO - Epoch(train) [91][760/940] lr: 1.0000e-04 eta: 1:19:34 time: 0.5613 data_time: 0.0249 memory: 31836 grad_norm: 5.2874 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/10/14 10:33:26 - mmengine - INFO - Epoch(train) [91][780/940] lr: 1.0000e-04 eta: 1:19:23 time: 0.5430 data_time: 0.0318 memory: 31836 grad_norm: 5.1643 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8012 loss: 0.8012 2022/10/14 10:33:37 - mmengine - INFO - Epoch(train) [91][800/940] lr: 1.0000e-04 eta: 1:19:12 time: 0.5452 data_time: 0.0309 memory: 31836 grad_norm: 5.3331 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/10/14 10:33:48 - mmengine - INFO - Epoch(train) [91][820/940] lr: 1.0000e-04 eta: 1:19:01 time: 0.5532 data_time: 0.0238 memory: 31836 grad_norm: 5.1663 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9634 loss: 0.9634 2022/10/14 10:33:59 - mmengine - INFO - Epoch(train) [91][840/940] lr: 1.0000e-04 eta: 1:18:50 time: 0.5647 data_time: 0.0248 memory: 31836 grad_norm: 5.1926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/10/14 10:34:10 - mmengine - INFO - Epoch(train) [91][860/940] lr: 1.0000e-04 eta: 1:18:39 time: 0.5514 data_time: 0.0298 memory: 31836 grad_norm: 5.2495 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8576 loss: 0.8576 2022/10/14 10:34:21 - mmengine - INFO - Epoch(train) [91][880/940] lr: 1.0000e-04 eta: 1:18:28 time: 0.5508 data_time: 0.0299 memory: 31836 grad_norm: 5.0362 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9341 loss: 0.9341 2022/10/14 10:34:32 - mmengine - INFO - Epoch(train) [91][900/940] lr: 1.0000e-04 eta: 1:18:17 time: 0.5456 data_time: 0.0256 memory: 31836 grad_norm: 5.2871 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/10/14 10:34:43 - mmengine - INFO - Epoch(train) [91][920/940] lr: 1.0000e-04 eta: 1:18:06 time: 0.5564 data_time: 0.0412 memory: 31836 grad_norm: 5.1957 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9002 loss: 0.9002 2022/10/14 10:34:53 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:34:53 - mmengine - INFO - Epoch(train) [91][940/940] lr: 1.0000e-04 eta: 1:17:55 time: 0.5148 data_time: 0.0263 memory: 31836 grad_norm: 5.6187 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0061 loss: 1.0061 2022/10/14 10:35:06 - mmengine - INFO - Epoch(val) [91][20/78] eta: 0:00:36 time: 0.6309 data_time: 0.4805 memory: 3561 2022/10/14 10:35:15 - mmengine - INFO - Epoch(val) [91][40/78] eta: 0:00:16 time: 0.4349 data_time: 0.2863 memory: 3561 2022/10/14 10:35:26 - mmengine - INFO - Epoch(val) [91][60/78] eta: 0:00:09 time: 0.5479 data_time: 0.4000 memory: 3561 2022/10/14 10:35:37 - mmengine - INFO - Epoch(val) [91][78/78] acc/top1: 0.6924 acc/top5: 0.8801 acc/mean1: 0.6923 2022/10/14 10:35:54 - mmengine - INFO - Epoch(train) [92][20/940] lr: 1.0000e-04 eta: 1:17:44 time: 0.8033 data_time: 0.1949 memory: 31836 grad_norm: 5.0707 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8177 loss: 0.8177 2022/10/14 10:36:04 - mmengine - INFO - Epoch(train) [92][40/940] lr: 1.0000e-04 eta: 1:17:33 time: 0.5478 data_time: 0.0240 memory: 31836 grad_norm: 5.2701 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9599 loss: 0.9599 2022/10/14 10:36:16 - mmengine - INFO - Epoch(train) [92][60/940] lr: 1.0000e-04 eta: 1:17:22 time: 0.5524 data_time: 0.0287 memory: 31836 grad_norm: 5.2130 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8716 loss: 0.8716 2022/10/14 10:36:27 - mmengine - INFO - Epoch(train) [92][80/940] lr: 1.0000e-04 eta: 1:17:11 time: 0.5608 data_time: 0.0276 memory: 31836 grad_norm: 5.2589 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9861 loss: 0.9861 2022/10/14 10:36:38 - mmengine - INFO - Epoch(train) [92][100/940] lr: 1.0000e-04 eta: 1:17:00 time: 0.5467 data_time: 0.0264 memory: 31836 grad_norm: 5.3244 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/10/14 10:36:49 - mmengine - INFO - Epoch(train) [92][120/940] lr: 1.0000e-04 eta: 1:16:49 time: 0.5564 data_time: 0.0320 memory: 31836 grad_norm: 5.1660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8006 loss: 0.8006 2022/10/14 10:37:00 - mmengine - INFO - Epoch(train) [92][140/940] lr: 1.0000e-04 eta: 1:16:38 time: 0.5500 data_time: 0.0263 memory: 31836 grad_norm: 5.1003 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8943 loss: 0.8943 2022/10/14 10:37:11 - mmengine - INFO - Epoch(train) [92][160/940] lr: 1.0000e-04 eta: 1:16:27 time: 0.5426 data_time: 0.0245 memory: 31836 grad_norm: 5.3316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/10/14 10:37:22 - mmengine - INFO - Epoch(train) [92][180/940] lr: 1.0000e-04 eta: 1:16:16 time: 0.5467 data_time: 0.0269 memory: 31836 grad_norm: 5.2097 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8113 loss: 0.8113 2022/10/14 10:37:32 - mmengine - INFO - Epoch(train) [92][200/940] lr: 1.0000e-04 eta: 1:16:05 time: 0.5378 data_time: 0.0284 memory: 31836 grad_norm: 5.1500 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9158 loss: 0.9158 2022/10/14 10:37:43 - mmengine - INFO - Epoch(train) [92][220/940] lr: 1.0000e-04 eta: 1:15:54 time: 0.5415 data_time: 0.0247 memory: 31836 grad_norm: 5.1681 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8288 loss: 0.8288 2022/10/14 10:37:54 - mmengine - INFO - Epoch(train) [92][240/940] lr: 1.0000e-04 eta: 1:15:43 time: 0.5423 data_time: 0.0285 memory: 31836 grad_norm: 5.3721 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/10/14 10:38:05 - mmengine - INFO - Epoch(train) [92][260/940] lr: 1.0000e-04 eta: 1:15:31 time: 0.5500 data_time: 0.0331 memory: 31836 grad_norm: 5.2703 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9057 loss: 0.9057 2022/10/14 10:38:16 - mmengine - INFO - Epoch(train) [92][280/940] lr: 1.0000e-04 eta: 1:15:20 time: 0.5433 data_time: 0.0313 memory: 31836 grad_norm: 5.1506 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9170 loss: 0.9170 2022/10/14 10:38:27 - mmengine - INFO - Epoch(train) [92][300/940] lr: 1.0000e-04 eta: 1:15:09 time: 0.5530 data_time: 0.0298 memory: 31836 grad_norm: 5.2396 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9460 loss: 0.9460 2022/10/14 10:38:38 - mmengine - INFO - Epoch(train) [92][320/940] lr: 1.0000e-04 eta: 1:14:58 time: 0.5469 data_time: 0.0244 memory: 31836 grad_norm: 5.1952 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8912 loss: 0.8912 2022/10/14 10:38:49 - mmengine - INFO - Epoch(train) [92][340/940] lr: 1.0000e-04 eta: 1:14:47 time: 0.5471 data_time: 0.0251 memory: 31836 grad_norm: 5.2176 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9116 loss: 0.9116 2022/10/14 10:39:00 - mmengine - INFO - Epoch(train) [92][360/940] lr: 1.0000e-04 eta: 1:14:36 time: 0.5438 data_time: 0.0299 memory: 31836 grad_norm: 5.2453 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.8175 loss: 0.8175 2022/10/14 10:39:10 - mmengine - INFO - Epoch(train) [92][380/940] lr: 1.0000e-04 eta: 1:14:25 time: 0.5366 data_time: 0.0283 memory: 31836 grad_norm: 5.0872 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9345 loss: 0.9345 2022/10/14 10:39:21 - mmengine - INFO - Epoch(train) [92][400/940] lr: 1.0000e-04 eta: 1:14:14 time: 0.5421 data_time: 0.0322 memory: 31836 grad_norm: 5.1122 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8635 loss: 0.8635 2022/10/14 10:39:32 - mmengine - INFO - Epoch(train) [92][420/940] lr: 1.0000e-04 eta: 1:14:03 time: 0.5507 data_time: 0.0341 memory: 31836 grad_norm: 5.1944 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/10/14 10:39:43 - mmengine - INFO - Epoch(train) [92][440/940] lr: 1.0000e-04 eta: 1:13:52 time: 0.5497 data_time: 0.0283 memory: 31836 grad_norm: 5.1690 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8979 loss: 0.8979 2022/10/14 10:39:54 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:39:54 - mmengine - INFO - Epoch(train) [92][460/940] lr: 1.0000e-04 eta: 1:13:41 time: 0.5440 data_time: 0.0267 memory: 31836 grad_norm: 5.1347 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0406 loss: 1.0406 2022/10/14 10:40:05 - mmengine - INFO - Epoch(train) [92][480/940] lr: 1.0000e-04 eta: 1:13:30 time: 0.5523 data_time: 0.0275 memory: 31836 grad_norm: 5.2133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8570 loss: 0.8570 2022/10/14 10:40:16 - mmengine - INFO - Epoch(train) [92][500/940] lr: 1.0000e-04 eta: 1:13:19 time: 0.5406 data_time: 0.0285 memory: 31836 grad_norm: 5.2497 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8506 loss: 0.8506 2022/10/14 10:40:27 - mmengine - INFO - Epoch(train) [92][520/940] lr: 1.0000e-04 eta: 1:13:08 time: 0.5491 data_time: 0.0292 memory: 31836 grad_norm: 5.2469 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.8683 loss: 0.8683 2022/10/14 10:40:38 - mmengine - INFO - Epoch(train) [92][540/940] lr: 1.0000e-04 eta: 1:12:57 time: 0.5415 data_time: 0.0254 memory: 31836 grad_norm: 5.2805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8827 loss: 0.8827 2022/10/14 10:40:49 - mmengine - INFO - Epoch(train) [92][560/940] lr: 1.0000e-04 eta: 1:12:45 time: 0.5466 data_time: 0.0335 memory: 31836 grad_norm: 5.1854 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8935 loss: 0.8935 2022/10/14 10:41:00 - mmengine - INFO - Epoch(train) [92][580/940] lr: 1.0000e-04 eta: 1:12:34 time: 0.5458 data_time: 0.0245 memory: 31836 grad_norm: 5.1687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8467 loss: 0.8467 2022/10/14 10:41:11 - mmengine - INFO - Epoch(train) [92][600/940] lr: 1.0000e-04 eta: 1:12:23 time: 0.5475 data_time: 0.0316 memory: 31836 grad_norm: 5.1759 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9144 loss: 0.9144 2022/10/14 10:41:22 - mmengine - INFO - Epoch(train) [92][620/940] lr: 1.0000e-04 eta: 1:12:12 time: 0.5455 data_time: 0.0275 memory: 31836 grad_norm: 5.2094 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8414 loss: 0.8414 2022/10/14 10:41:33 - mmengine - INFO - Epoch(train) [92][640/940] lr: 1.0000e-04 eta: 1:12:01 time: 0.5844 data_time: 0.0277 memory: 31836 grad_norm: 5.2768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0080 loss: 1.0080 2022/10/14 10:41:44 - mmengine - INFO - Epoch(train) [92][660/940] lr: 1.0000e-04 eta: 1:11:50 time: 0.5549 data_time: 0.0290 memory: 31836 grad_norm: 5.3487 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9077 loss: 0.9077 2022/10/14 10:41:55 - mmengine - INFO - Epoch(train) [92][680/940] lr: 1.0000e-04 eta: 1:11:39 time: 0.5455 data_time: 0.0243 memory: 31836 grad_norm: 5.1495 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8722 loss: 0.8722 2022/10/14 10:42:06 - mmengine - INFO - Epoch(train) [92][700/940] lr: 1.0000e-04 eta: 1:11:28 time: 0.5414 data_time: 0.0262 memory: 31836 grad_norm: 5.2688 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/10/14 10:42:17 - mmengine - INFO - Epoch(train) [92][720/940] lr: 1.0000e-04 eta: 1:11:17 time: 0.5389 data_time: 0.0277 memory: 31836 grad_norm: 5.2289 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9046 loss: 0.9046 2022/10/14 10:42:28 - mmengine - INFO - Epoch(train) [92][740/940] lr: 1.0000e-04 eta: 1:11:06 time: 0.5484 data_time: 0.0349 memory: 31836 grad_norm: 5.2163 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9762 loss: 0.9762 2022/10/14 10:42:39 - mmengine - INFO - Epoch(train) [92][760/940] lr: 1.0000e-04 eta: 1:10:55 time: 0.5437 data_time: 0.0279 memory: 31836 grad_norm: 5.3007 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8024 loss: 0.8024 2022/10/14 10:42:50 - mmengine - INFO - Epoch(train) [92][780/940] lr: 1.0000e-04 eta: 1:10:44 time: 0.5449 data_time: 0.0255 memory: 31836 grad_norm: 5.1437 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9917 loss: 0.9917 2022/10/14 10:43:01 - mmengine - INFO - Epoch(train) [92][800/940] lr: 1.0000e-04 eta: 1:10:33 time: 0.5418 data_time: 0.0291 memory: 31836 grad_norm: 5.1607 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9401 loss: 0.9401 2022/10/14 10:43:11 - mmengine - INFO - Epoch(train) [92][820/940] lr: 1.0000e-04 eta: 1:10:22 time: 0.5460 data_time: 0.0306 memory: 31836 grad_norm: 5.1359 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9030 loss: 0.9030 2022/10/14 10:43:22 - mmengine - INFO - Epoch(train) [92][840/940] lr: 1.0000e-04 eta: 1:10:11 time: 0.5485 data_time: 0.0249 memory: 31836 grad_norm: 5.2390 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8827 loss: 0.8827 2022/10/14 10:43:33 - mmengine - INFO - Epoch(train) [92][860/940] lr: 1.0000e-04 eta: 1:10:00 time: 0.5434 data_time: 0.0276 memory: 31836 grad_norm: 5.1015 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8726 loss: 0.8726 2022/10/14 10:43:44 - mmengine - INFO - Epoch(train) [92][880/940] lr: 1.0000e-04 eta: 1:09:48 time: 0.5451 data_time: 0.0259 memory: 31836 grad_norm: 5.1928 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9023 loss: 0.9023 2022/10/14 10:43:55 - mmengine - INFO - Epoch(train) [92][900/940] lr: 1.0000e-04 eta: 1:09:37 time: 0.5526 data_time: 0.0339 memory: 31836 grad_norm: 5.1986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/10/14 10:44:06 - mmengine - INFO - Epoch(train) [92][920/940] lr: 1.0000e-04 eta: 1:09:26 time: 0.5541 data_time: 0.0280 memory: 31836 grad_norm: 5.2666 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/10/14 10:44:17 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:44:17 - mmengine - INFO - Epoch(train) [92][940/940] lr: 1.0000e-04 eta: 1:09:15 time: 0.5097 data_time: 0.0236 memory: 31836 grad_norm: 5.6099 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9780 loss: 0.9780 2022/10/14 10:44:29 - mmengine - INFO - Epoch(val) [92][20/78] eta: 0:00:37 time: 0.6435 data_time: 0.4939 memory: 3561 2022/10/14 10:44:39 - mmengine - INFO - Epoch(val) [92][40/78] eta: 0:00:17 time: 0.4649 data_time: 0.3174 memory: 3561 2022/10/14 10:44:50 - mmengine - INFO - Epoch(val) [92][60/78] eta: 0:00:10 time: 0.5603 data_time: 0.4116 memory: 3561 2022/10/14 10:45:01 - mmengine - INFO - Epoch(val) [92][78/78] acc/top1: 0.6922 acc/top5: 0.8796 acc/mean1: 0.6920 2022/10/14 10:45:17 - mmengine - INFO - Epoch(train) [93][20/940] lr: 1.0000e-04 eta: 1:09:05 time: 0.7903 data_time: 0.2152 memory: 31836 grad_norm: 5.2060 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9814 loss: 0.9814 2022/10/14 10:45:28 - mmengine - INFO - Epoch(train) [93][40/940] lr: 1.0000e-04 eta: 1:08:54 time: 0.5488 data_time: 0.0245 memory: 31836 grad_norm: 5.2401 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9821 loss: 0.9821 2022/10/14 10:45:39 - mmengine - INFO - Epoch(train) [93][60/940] lr: 1.0000e-04 eta: 1:08:43 time: 0.5632 data_time: 0.0314 memory: 31836 grad_norm: 5.2544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9953 loss: 0.9953 2022/10/14 10:45:50 - mmengine - INFO - Epoch(train) [93][80/940] lr: 1.0000e-04 eta: 1:08:31 time: 0.5495 data_time: 0.0238 memory: 31836 grad_norm: 5.0809 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9296 loss: 0.9296 2022/10/14 10:46:01 - mmengine - INFO - Epoch(train) [93][100/940] lr: 1.0000e-04 eta: 1:08:20 time: 0.5489 data_time: 0.0284 memory: 31836 grad_norm: 5.2276 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9847 loss: 0.9847 2022/10/14 10:46:12 - mmengine - INFO - Epoch(train) [93][120/940] lr: 1.0000e-04 eta: 1:08:09 time: 0.5600 data_time: 0.0324 memory: 31836 grad_norm: 5.3410 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9897 loss: 0.9897 2022/10/14 10:46:23 - mmengine - INFO - Epoch(train) [93][140/940] lr: 1.0000e-04 eta: 1:07:58 time: 0.5473 data_time: 0.0267 memory: 31836 grad_norm: 5.2270 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9045 loss: 0.9045 2022/10/14 10:46:34 - mmengine - INFO - Epoch(train) [93][160/940] lr: 1.0000e-04 eta: 1:07:47 time: 0.5459 data_time: 0.0336 memory: 31836 grad_norm: 5.0505 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9113 loss: 0.9113 2022/10/14 10:46:45 - mmengine - INFO - Epoch(train) [93][180/940] lr: 1.0000e-04 eta: 1:07:36 time: 0.5456 data_time: 0.0272 memory: 31836 grad_norm: 5.1382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8539 loss: 0.8539 2022/10/14 10:46:56 - mmengine - INFO - Epoch(train) [93][200/940] lr: 1.0000e-04 eta: 1:07:25 time: 0.5488 data_time: 0.0277 memory: 31836 grad_norm: 5.1408 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8101 loss: 0.8101 2022/10/14 10:47:07 - mmengine - INFO - Epoch(train) [93][220/940] lr: 1.0000e-04 eta: 1:07:14 time: 0.5464 data_time: 0.0321 memory: 31836 grad_norm: 5.2529 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9147 loss: 0.9147 2022/10/14 10:47:18 - mmengine - INFO - Epoch(train) [93][240/940] lr: 1.0000e-04 eta: 1:07:03 time: 0.5518 data_time: 0.0297 memory: 31836 grad_norm: 5.2077 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8953 loss: 0.8953 2022/10/14 10:47:29 - mmengine - INFO - Epoch(train) [93][260/940] lr: 1.0000e-04 eta: 1:06:52 time: 0.5509 data_time: 0.0249 memory: 31836 grad_norm: 5.2298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8862 loss: 0.8862 2022/10/14 10:47:40 - mmengine - INFO - Epoch(train) [93][280/940] lr: 1.0000e-04 eta: 1:06:41 time: 0.5459 data_time: 0.0244 memory: 31836 grad_norm: 5.1904 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8777 loss: 0.8777 2022/10/14 10:47:51 - mmengine - INFO - Epoch(train) [93][300/940] lr: 1.0000e-04 eta: 1:06:30 time: 0.5404 data_time: 0.0272 memory: 31836 grad_norm: 5.3132 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9776 loss: 0.9776 2022/10/14 10:48:02 - mmengine - INFO - Epoch(train) [93][320/940] lr: 1.0000e-04 eta: 1:06:19 time: 0.5468 data_time: 0.0326 memory: 31836 grad_norm: 5.1825 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9173 loss: 0.9173 2022/10/14 10:48:13 - mmengine - INFO - Epoch(train) [93][340/940] lr: 1.0000e-04 eta: 1:06:08 time: 0.5477 data_time: 0.0300 memory: 31836 grad_norm: 5.1456 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8248 loss: 0.8248 2022/10/14 10:48:24 - mmengine - INFO - Epoch(train) [93][360/940] lr: 1.0000e-04 eta: 1:05:57 time: 0.5524 data_time: 0.0273 memory: 31836 grad_norm: 5.1321 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9377 loss: 0.9377 2022/10/14 10:48:35 - mmengine - INFO - Epoch(train) [93][380/940] lr: 1.0000e-04 eta: 1:05:46 time: 0.5567 data_time: 0.0292 memory: 31836 grad_norm: 5.2555 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9449 loss: 0.9449 2022/10/14 10:48:46 - mmengine - INFO - Epoch(train) [93][400/940] lr: 1.0000e-04 eta: 1:05:35 time: 0.5535 data_time: 0.0261 memory: 31836 grad_norm: 5.1005 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9047 loss: 0.9047 2022/10/14 10:48:57 - mmengine - INFO - Epoch(train) [93][420/940] lr: 1.0000e-04 eta: 1:05:23 time: 0.5482 data_time: 0.0356 memory: 31836 grad_norm: 5.1588 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8881 loss: 0.8881 2022/10/14 10:49:08 - mmengine - INFO - Epoch(train) [93][440/940] lr: 1.0000e-04 eta: 1:05:12 time: 0.5481 data_time: 0.0278 memory: 31836 grad_norm: 5.1711 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8870 loss: 0.8870 2022/10/14 10:49:19 - mmengine - INFO - Epoch(train) [93][460/940] lr: 1.0000e-04 eta: 1:05:01 time: 0.5536 data_time: 0.0249 memory: 31836 grad_norm: 5.2247 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9187 loss: 0.9187 2022/10/14 10:49:30 - mmengine - INFO - Epoch(train) [93][480/940] lr: 1.0000e-04 eta: 1:04:50 time: 0.5401 data_time: 0.0277 memory: 31836 grad_norm: 5.3441 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8583 loss: 0.8583 2022/10/14 10:49:41 - mmengine - INFO - Epoch(train) [93][500/940] lr: 1.0000e-04 eta: 1:04:39 time: 0.5647 data_time: 0.0275 memory: 31836 grad_norm: 5.2461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/10/14 10:49:52 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:49:52 - mmengine - INFO - Epoch(train) [93][520/940] lr: 1.0000e-04 eta: 1:04:28 time: 0.5521 data_time: 0.0260 memory: 31836 grad_norm: 5.3219 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/10/14 10:50:03 - mmengine - INFO - Epoch(train) [93][540/940] lr: 1.0000e-04 eta: 1:04:17 time: 0.5434 data_time: 0.0276 memory: 31836 grad_norm: 5.3580 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/10/14 10:50:14 - mmengine - INFO - Epoch(train) [93][560/940] lr: 1.0000e-04 eta: 1:04:06 time: 0.5510 data_time: 0.0336 memory: 31836 grad_norm: 5.2247 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8691 loss: 0.8691 2022/10/14 10:50:25 - mmengine - INFO - Epoch(train) [93][580/940] lr: 1.0000e-04 eta: 1:03:55 time: 0.5562 data_time: 0.0348 memory: 31836 grad_norm: 5.2774 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8972 loss: 0.8972 2022/10/14 10:50:36 - mmengine - INFO - Epoch(train) [93][600/940] lr: 1.0000e-04 eta: 1:03:44 time: 0.5444 data_time: 0.0281 memory: 31836 grad_norm: 5.3795 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9042 loss: 0.9042 2022/10/14 10:50:47 - mmengine - INFO - Epoch(train) [93][620/940] lr: 1.0000e-04 eta: 1:03:33 time: 0.5537 data_time: 0.0260 memory: 31836 grad_norm: 5.2224 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9019 loss: 0.9019 2022/10/14 10:50:58 - mmengine - INFO - Epoch(train) [93][640/940] lr: 1.0000e-04 eta: 1:03:22 time: 0.5522 data_time: 0.0295 memory: 31836 grad_norm: 5.2153 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9269 loss: 0.9269 2022/10/14 10:51:09 - mmengine - INFO - Epoch(train) [93][660/940] lr: 1.0000e-04 eta: 1:03:11 time: 0.5435 data_time: 0.0297 memory: 31836 grad_norm: 5.2962 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 0.9750 loss: 0.9750 2022/10/14 10:51:20 - mmengine - INFO - Epoch(train) [93][680/940] lr: 1.0000e-04 eta: 1:03:00 time: 0.5549 data_time: 0.0251 memory: 31836 grad_norm: 5.1256 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8888 loss: 0.8888 2022/10/14 10:51:31 - mmengine - INFO - Epoch(train) [93][700/940] lr: 1.0000e-04 eta: 1:02:49 time: 0.5577 data_time: 0.0346 memory: 31836 grad_norm: 5.1360 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9195 loss: 0.9195 2022/10/14 10:51:42 - mmengine - INFO - Epoch(train) [93][720/940] lr: 1.0000e-04 eta: 1:02:38 time: 0.5461 data_time: 0.0353 memory: 31836 grad_norm: 5.2911 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8101 loss: 0.8101 2022/10/14 10:51:53 - mmengine - INFO - Epoch(train) [93][740/940] lr: 1.0000e-04 eta: 1:02:27 time: 0.5611 data_time: 0.0256 memory: 31836 grad_norm: 5.2108 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9497 loss: 0.9497 2022/10/14 10:52:04 - mmengine - INFO - Epoch(train) [93][760/940] lr: 1.0000e-04 eta: 1:02:15 time: 0.5477 data_time: 0.0267 memory: 31836 grad_norm: 5.2588 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9366 loss: 0.9366 2022/10/14 10:52:15 - mmengine - INFO - Epoch(train) [93][780/940] lr: 1.0000e-04 eta: 1:02:04 time: 0.5458 data_time: 0.0261 memory: 31836 grad_norm: 5.3031 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9395 loss: 0.9395 2022/10/14 10:52:26 - mmengine - INFO - Epoch(train) [93][800/940] lr: 1.0000e-04 eta: 1:01:53 time: 0.5481 data_time: 0.0277 memory: 31836 grad_norm: 5.2237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9409 loss: 0.9409 2022/10/14 10:52:37 - mmengine - INFO - Epoch(train) [93][820/940] lr: 1.0000e-04 eta: 1:01:42 time: 0.5399 data_time: 0.0303 memory: 31836 grad_norm: 5.2332 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8648 loss: 0.8648 2022/10/14 10:52:48 - mmengine - INFO - Epoch(train) [93][840/940] lr: 1.0000e-04 eta: 1:01:31 time: 0.5467 data_time: 0.0284 memory: 31836 grad_norm: 5.2220 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9215 loss: 0.9215 2022/10/14 10:52:59 - mmengine - INFO - Epoch(train) [93][860/940] lr: 1.0000e-04 eta: 1:01:20 time: 0.5497 data_time: 0.0254 memory: 31836 grad_norm: 5.1169 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0026 loss: 1.0026 2022/10/14 10:53:10 - mmengine - INFO - Epoch(train) [93][880/940] lr: 1.0000e-04 eta: 1:01:09 time: 0.5466 data_time: 0.0290 memory: 31836 grad_norm: 5.1830 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/10/14 10:53:21 - mmengine - INFO - Epoch(train) [93][900/940] lr: 1.0000e-04 eta: 1:00:58 time: 0.5431 data_time: 0.0281 memory: 31836 grad_norm: 5.1934 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9254 loss: 0.9254 2022/10/14 10:53:32 - mmengine - INFO - Epoch(train) [93][920/940] lr: 1.0000e-04 eta: 1:00:47 time: 0.5528 data_time: 0.0316 memory: 31836 grad_norm: 5.2999 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9790 loss: 0.9790 2022/10/14 10:53:42 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:53:42 - mmengine - INFO - Epoch(train) [93][940/940] lr: 1.0000e-04 eta: 1:00:36 time: 0.5208 data_time: 0.0252 memory: 31836 grad_norm: 5.6383 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9209 loss: 0.9209 2022/10/14 10:53:42 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/10/14 10:53:57 - mmengine - INFO - Epoch(val) [93][20/78] eta: 0:00:39 time: 0.6808 data_time: 0.5291 memory: 3561 2022/10/14 10:54:06 - mmengine - INFO - Epoch(val) [93][40/78] eta: 0:00:16 time: 0.4440 data_time: 0.2968 memory: 3561 2022/10/14 10:54:17 - mmengine - INFO - Epoch(val) [93][60/78] eta: 0:00:09 time: 0.5449 data_time: 0.3950 memory: 3561 2022/10/14 10:54:28 - mmengine - INFO - Epoch(val) [93][78/78] acc/top1: 0.6936 acc/top5: 0.8798 acc/mean1: 0.6935 2022/10/14 10:54:47 - mmengine - INFO - Epoch(train) [94][20/940] lr: 1.0000e-04 eta: 1:00:25 time: 0.9585 data_time: 0.3791 memory: 31836 grad_norm: 5.0365 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8571 loss: 0.8571 2022/10/14 10:54:58 - mmengine - INFO - Epoch(train) [94][40/940] lr: 1.0000e-04 eta: 1:00:14 time: 0.5513 data_time: 0.0240 memory: 31836 grad_norm: 5.3908 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8400 loss: 0.8400 2022/10/14 10:55:09 - mmengine - INFO - Epoch(train) [94][60/940] lr: 1.0000e-04 eta: 1:00:03 time: 0.5461 data_time: 0.0293 memory: 31836 grad_norm: 5.1489 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8926 loss: 0.8926 2022/10/14 10:55:20 - mmengine - INFO - Epoch(train) [94][80/940] lr: 1.0000e-04 eta: 0:59:52 time: 0.5491 data_time: 0.0293 memory: 31836 grad_norm: 5.1944 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8736 loss: 0.8736 2022/10/14 10:55:31 - mmengine - INFO - Epoch(train) [94][100/940] lr: 1.0000e-04 eta: 0:59:41 time: 0.5539 data_time: 0.0330 memory: 31836 grad_norm: 5.1743 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8933 loss: 0.8933 2022/10/14 10:55:42 - mmengine - INFO - Epoch(train) [94][120/940] lr: 1.0000e-04 eta: 0:59:30 time: 0.5492 data_time: 0.0233 memory: 31836 grad_norm: 5.2291 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.7897 loss: 0.7897 2022/10/14 10:55:53 - mmengine - INFO - Epoch(train) [94][140/940] lr: 1.0000e-04 eta: 0:59:19 time: 0.5474 data_time: 0.0304 memory: 31836 grad_norm: 5.1494 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9563 loss: 0.9563 2022/10/14 10:56:04 - mmengine - INFO - Epoch(train) [94][160/940] lr: 1.0000e-04 eta: 0:59:08 time: 0.5501 data_time: 0.0256 memory: 31836 grad_norm: 5.2312 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8924 loss: 0.8924 2022/10/14 10:56:15 - mmengine - INFO - Epoch(train) [94][180/940] lr: 1.0000e-04 eta: 0:58:57 time: 0.5477 data_time: 0.0291 memory: 31836 grad_norm: 5.1337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7773 loss: 0.7773 2022/10/14 10:56:27 - mmengine - INFO - Epoch(train) [94][200/940] lr: 1.0000e-04 eta: 0:58:46 time: 0.5622 data_time: 0.0285 memory: 31836 grad_norm: 5.1690 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9792 loss: 0.9792 2022/10/14 10:56:38 - mmengine - INFO - Epoch(train) [94][220/940] lr: 1.0000e-04 eta: 0:58:35 time: 0.5512 data_time: 0.0320 memory: 31836 grad_norm: 5.2657 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9228 loss: 0.9228 2022/10/14 10:56:49 - mmengine - INFO - Epoch(train) [94][240/940] lr: 1.0000e-04 eta: 0:58:24 time: 0.5582 data_time: 0.0328 memory: 31836 grad_norm: 5.2256 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9204 loss: 0.9204 2022/10/14 10:57:00 - mmengine - INFO - Epoch(train) [94][260/940] lr: 1.0000e-04 eta: 0:58:13 time: 0.5493 data_time: 0.0259 memory: 31836 grad_norm: 5.3358 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8915 loss: 0.8915 2022/10/14 10:57:11 - mmengine - INFO - Epoch(train) [94][280/940] lr: 1.0000e-04 eta: 0:58:02 time: 0.5479 data_time: 0.0279 memory: 31836 grad_norm: 5.2465 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8680 loss: 0.8680 2022/10/14 10:57:22 - mmengine - INFO - Epoch(train) [94][300/940] lr: 1.0000e-04 eta: 0:57:51 time: 0.5449 data_time: 0.0313 memory: 31836 grad_norm: 5.2270 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8823 loss: 0.8823 2022/10/14 10:57:32 - mmengine - INFO - Epoch(train) [94][320/940] lr: 1.0000e-04 eta: 0:57:40 time: 0.5427 data_time: 0.0281 memory: 31836 grad_norm: 5.1869 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7780 loss: 0.7780 2022/10/14 10:57:43 - mmengine - INFO - Epoch(train) [94][340/940] lr: 1.0000e-04 eta: 0:57:29 time: 0.5489 data_time: 0.0270 memory: 31836 grad_norm: 5.3178 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8795 loss: 0.8795 2022/10/14 10:57:54 - mmengine - INFO - Epoch(train) [94][360/940] lr: 1.0000e-04 eta: 0:57:17 time: 0.5490 data_time: 0.0242 memory: 31836 grad_norm: 5.1423 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8496 loss: 0.8496 2022/10/14 10:58:05 - mmengine - INFO - Epoch(train) [94][380/940] lr: 1.0000e-04 eta: 0:57:06 time: 0.5490 data_time: 0.0255 memory: 31836 grad_norm: 5.2100 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8383 loss: 0.8383 2022/10/14 10:58:16 - mmengine - INFO - Epoch(train) [94][400/940] lr: 1.0000e-04 eta: 0:56:55 time: 0.5505 data_time: 0.0259 memory: 31836 grad_norm: 5.2339 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9238 loss: 0.9238 2022/10/14 10:58:28 - mmengine - INFO - Epoch(train) [94][420/940] lr: 1.0000e-04 eta: 0:56:44 time: 0.5639 data_time: 0.0367 memory: 31836 grad_norm: 5.2762 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8961 loss: 0.8961 2022/10/14 10:58:39 - mmengine - INFO - Epoch(train) [94][440/940] lr: 1.0000e-04 eta: 0:56:33 time: 0.5504 data_time: 0.0318 memory: 31836 grad_norm: 5.1891 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8989 loss: 0.8989 2022/10/14 10:58:50 - mmengine - INFO - Epoch(train) [94][460/940] lr: 1.0000e-04 eta: 0:56:22 time: 0.5446 data_time: 0.0271 memory: 31836 grad_norm: 5.2690 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9146 loss: 0.9146 2022/10/14 10:59:01 - mmengine - INFO - Epoch(train) [94][480/940] lr: 1.0000e-04 eta: 0:56:11 time: 0.5489 data_time: 0.0251 memory: 31836 grad_norm: 5.2750 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0046 loss: 1.0046 2022/10/14 10:59:11 - mmengine - INFO - Epoch(train) [94][500/940] lr: 1.0000e-04 eta: 0:56:00 time: 0.5436 data_time: 0.0254 memory: 31836 grad_norm: 5.1492 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9336 loss: 0.9336 2022/10/14 10:59:23 - mmengine - INFO - Epoch(train) [94][520/940] lr: 1.0000e-04 eta: 0:55:49 time: 0.5652 data_time: 0.0340 memory: 31836 grad_norm: 5.1185 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9819 loss: 0.9819 2022/10/14 10:59:34 - mmengine - INFO - Epoch(train) [94][540/940] lr: 1.0000e-04 eta: 0:55:38 time: 0.5459 data_time: 0.0294 memory: 31836 grad_norm: 5.2156 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0433 loss: 1.0433 2022/10/14 10:59:45 - mmengine - INFO - Epoch(train) [94][560/940] lr: 1.0000e-04 eta: 0:55:27 time: 0.5544 data_time: 0.0278 memory: 31836 grad_norm: 5.2810 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/10/14 10:59:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 10:59:56 - mmengine - INFO - Epoch(train) [94][580/940] lr: 1.0000e-04 eta: 0:55:16 time: 0.5450 data_time: 0.0247 memory: 31836 grad_norm: 5.2863 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/10/14 11:00:07 - mmengine - INFO - Epoch(train) [94][600/940] lr: 1.0000e-04 eta: 0:55:05 time: 0.5473 data_time: 0.0305 memory: 31836 grad_norm: 5.2993 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8429 loss: 0.8429 2022/10/14 11:00:18 - mmengine - INFO - Epoch(train) [94][620/940] lr: 1.0000e-04 eta: 0:54:54 time: 0.5443 data_time: 0.0299 memory: 31836 grad_norm: 5.2563 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9170 loss: 0.9170 2022/10/14 11:00:29 - mmengine - INFO - Epoch(train) [94][640/940] lr: 1.0000e-04 eta: 0:54:43 time: 0.5488 data_time: 0.0293 memory: 31836 grad_norm: 5.3234 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9623 loss: 0.9623 2022/10/14 11:00:40 - mmengine - INFO - Epoch(train) [94][660/940] lr: 1.0000e-04 eta: 0:54:32 time: 0.5519 data_time: 0.0281 memory: 31836 grad_norm: 5.3162 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8703 loss: 0.8703 2022/10/14 11:00:51 - mmengine - INFO - Epoch(train) [94][680/940] lr: 1.0000e-04 eta: 0:54:21 time: 0.5593 data_time: 0.0328 memory: 31836 grad_norm: 5.2497 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8232 loss: 0.8232 2022/10/14 11:01:02 - mmengine - INFO - Epoch(train) [94][700/940] lr: 1.0000e-04 eta: 0:54:09 time: 0.5501 data_time: 0.0308 memory: 31836 grad_norm: 5.0894 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9194 loss: 0.9194 2022/10/14 11:01:13 - mmengine - INFO - Epoch(train) [94][720/940] lr: 1.0000e-04 eta: 0:53:58 time: 0.5433 data_time: 0.0252 memory: 31836 grad_norm: 5.2274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8508 loss: 0.8508 2022/10/14 11:01:24 - mmengine - INFO - Epoch(train) [94][740/940] lr: 1.0000e-04 eta: 0:53:47 time: 0.5450 data_time: 0.0313 memory: 31836 grad_norm: 5.1963 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7971 loss: 0.7971 2022/10/14 11:01:35 - mmengine - INFO - Epoch(train) [94][760/940] lr: 1.0000e-04 eta: 0:53:36 time: 0.5552 data_time: 0.0259 memory: 31836 grad_norm: 5.2770 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8731 loss: 0.8731 2022/10/14 11:01:46 - mmengine - INFO - Epoch(train) [94][780/940] lr: 1.0000e-04 eta: 0:53:25 time: 0.5468 data_time: 0.0244 memory: 31836 grad_norm: 5.2220 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8706 loss: 0.8706 2022/10/14 11:01:56 - mmengine - INFO - Epoch(train) [94][800/940] lr: 1.0000e-04 eta: 0:53:14 time: 0.5445 data_time: 0.0277 memory: 31836 grad_norm: 5.2438 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8877 loss: 0.8877 2022/10/14 11:02:08 - mmengine - INFO - Epoch(train) [94][820/940] lr: 1.0000e-04 eta: 0:53:03 time: 0.5658 data_time: 0.0264 memory: 31836 grad_norm: 5.3757 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8391 loss: 0.8391 2022/10/14 11:02:19 - mmengine - INFO - Epoch(train) [94][840/940] lr: 1.0000e-04 eta: 0:52:52 time: 0.5662 data_time: 0.0288 memory: 31836 grad_norm: 5.2846 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8971 loss: 0.8971 2022/10/14 11:02:30 - mmengine - INFO - Epoch(train) [94][860/940] lr: 1.0000e-04 eta: 0:52:41 time: 0.5398 data_time: 0.0245 memory: 31836 grad_norm: 5.1362 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8956 loss: 0.8956 2022/10/14 11:02:41 - mmengine - INFO - Epoch(train) [94][880/940] lr: 1.0000e-04 eta: 0:52:30 time: 0.5443 data_time: 0.0260 memory: 31836 grad_norm: 5.2983 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0157 loss: 1.0157 2022/10/14 11:02:52 - mmengine - INFO - Epoch(train) [94][900/940] lr: 1.0000e-04 eta: 0:52:19 time: 0.5474 data_time: 0.0276 memory: 31836 grad_norm: 5.2512 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9419 loss: 0.9419 2022/10/14 11:03:03 - mmengine - INFO - Epoch(train) [94][920/940] lr: 1.0000e-04 eta: 0:52:08 time: 0.5462 data_time: 0.0259 memory: 31836 grad_norm: 5.2063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8834 loss: 0.8834 2022/10/14 11:03:13 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:03:13 - mmengine - INFO - Epoch(train) [94][940/940] lr: 1.0000e-04 eta: 0:51:57 time: 0.5120 data_time: 0.0235 memory: 31836 grad_norm: 5.6221 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.0446 loss: 1.0446 2022/10/14 11:03:26 - mmengine - INFO - Epoch(val) [94][20/78] eta: 0:00:37 time: 0.6462 data_time: 0.4935 memory: 3561 2022/10/14 11:03:36 - mmengine - INFO - Epoch(val) [94][40/78] eta: 0:00:18 time: 0.4891 data_time: 0.3380 memory: 3561 2022/10/14 11:03:48 - mmengine - INFO - Epoch(val) [94][60/78] eta: 0:00:10 time: 0.5977 data_time: 0.4507 memory: 3561 2022/10/14 11:03:57 - mmengine - INFO - Epoch(val) [94][78/78] acc/top1: 0.6931 acc/top5: 0.8801 acc/mean1: 0.6930 2022/10/14 11:04:13 - mmengine - INFO - Epoch(train) [95][20/940] lr: 1.0000e-04 eta: 0:51:46 time: 0.7564 data_time: 0.2340 memory: 31836 grad_norm: 5.2859 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8380 loss: 0.8380 2022/10/14 11:04:24 - mmengine - INFO - Epoch(train) [95][40/940] lr: 1.0000e-04 eta: 0:51:35 time: 0.5531 data_time: 0.0254 memory: 31836 grad_norm: 5.2287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8793 loss: 0.8793 2022/10/14 11:04:35 - mmengine - INFO - Epoch(train) [95][60/940] lr: 1.0000e-04 eta: 0:51:24 time: 0.5703 data_time: 0.0317 memory: 31836 grad_norm: 5.2359 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9406 loss: 0.9406 2022/10/14 11:04:46 - mmengine - INFO - Epoch(train) [95][80/940] lr: 1.0000e-04 eta: 0:51:13 time: 0.5551 data_time: 0.0297 memory: 31836 grad_norm: 5.1761 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8930 loss: 0.8930 2022/10/14 11:04:57 - mmengine - INFO - Epoch(train) [95][100/940] lr: 1.0000e-04 eta: 0:51:02 time: 0.5678 data_time: 0.0258 memory: 31836 grad_norm: 5.3722 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0738 loss: 1.0738 2022/10/14 11:05:09 - mmengine - INFO - Epoch(train) [95][120/940] lr: 1.0000e-04 eta: 0:50:51 time: 0.5526 data_time: 0.0262 memory: 31836 grad_norm: 5.2612 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8868 loss: 0.8868 2022/10/14 11:05:20 - mmengine - INFO - Epoch(train) [95][140/940] lr: 1.0000e-04 eta: 0:50:40 time: 0.5536 data_time: 0.0268 memory: 31836 grad_norm: 5.2843 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8174 loss: 0.8174 2022/10/14 11:05:31 - mmengine - INFO - Epoch(train) [95][160/940] lr: 1.0000e-04 eta: 0:50:29 time: 0.5533 data_time: 0.0320 memory: 31836 grad_norm: 5.2704 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9571 loss: 0.9571 2022/10/14 11:05:42 - mmengine - INFO - Epoch(train) [95][180/940] lr: 1.0000e-04 eta: 0:50:18 time: 0.5498 data_time: 0.0249 memory: 31836 grad_norm: 5.2459 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8199 loss: 0.8199 2022/10/14 11:05:53 - mmengine - INFO - Epoch(train) [95][200/940] lr: 1.0000e-04 eta: 0:50:06 time: 0.5517 data_time: 0.0298 memory: 31836 grad_norm: 5.2159 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9068 loss: 0.9068 2022/10/14 11:06:04 - mmengine - INFO - Epoch(train) [95][220/940] lr: 1.0000e-04 eta: 0:49:55 time: 0.5469 data_time: 0.0336 memory: 31836 grad_norm: 5.3096 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8816 loss: 0.8816 2022/10/14 11:06:15 - mmengine - INFO - Epoch(train) [95][240/940] lr: 1.0000e-04 eta: 0:49:44 time: 0.5495 data_time: 0.0284 memory: 31836 grad_norm: 5.1502 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/10/14 11:06:26 - mmengine - INFO - Epoch(train) [95][260/940] lr: 1.0000e-04 eta: 0:49:33 time: 0.5469 data_time: 0.0278 memory: 31836 grad_norm: 5.1933 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9148 loss: 0.9148 2022/10/14 11:06:37 - mmengine - INFO - Epoch(train) [95][280/940] lr: 1.0000e-04 eta: 0:49:22 time: 0.5501 data_time: 0.0267 memory: 31836 grad_norm: 5.1771 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8649 loss: 0.8649 2022/10/14 11:06:47 - mmengine - INFO - Epoch(train) [95][300/940] lr: 1.0000e-04 eta: 0:49:11 time: 0.5455 data_time: 0.0260 memory: 31836 grad_norm: 5.2734 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8381 loss: 0.8381 2022/10/14 11:06:59 - mmengine - INFO - Epoch(train) [95][320/940] lr: 1.0000e-04 eta: 0:49:00 time: 0.5506 data_time: 0.0356 memory: 31836 grad_norm: 5.3289 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8766 loss: 0.8766 2022/10/14 11:07:09 - mmengine - INFO - Epoch(train) [95][340/940] lr: 1.0000e-04 eta: 0:48:49 time: 0.5446 data_time: 0.0249 memory: 31836 grad_norm: 5.2109 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7915 loss: 0.7915 2022/10/14 11:07:20 - mmengine - INFO - Epoch(train) [95][360/940] lr: 1.0000e-04 eta: 0:48:38 time: 0.5405 data_time: 0.0283 memory: 31836 grad_norm: 5.2117 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9372 loss: 0.9372 2022/10/14 11:07:31 - mmengine - INFO - Epoch(train) [95][380/940] lr: 1.0000e-04 eta: 0:48:27 time: 0.5462 data_time: 0.0276 memory: 31836 grad_norm: 5.3201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0137 loss: 1.0137 2022/10/14 11:07:42 - mmengine - INFO - Epoch(train) [95][400/940] lr: 1.0000e-04 eta: 0:48:16 time: 0.5476 data_time: 0.0247 memory: 31836 grad_norm: 5.2442 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8540 loss: 0.8540 2022/10/14 11:07:53 - mmengine - INFO - Epoch(train) [95][420/940] lr: 1.0000e-04 eta: 0:48:05 time: 0.5467 data_time: 0.0258 memory: 31836 grad_norm: 5.2753 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8647 loss: 0.8647 2022/10/14 11:08:04 - mmengine - INFO - Epoch(train) [95][440/940] lr: 1.0000e-04 eta: 0:47:54 time: 0.5474 data_time: 0.0260 memory: 31836 grad_norm: 5.1934 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9395 loss: 0.9395 2022/10/14 11:08:15 - mmengine - INFO - Epoch(train) [95][460/940] lr: 1.0000e-04 eta: 0:47:43 time: 0.5507 data_time: 0.0257 memory: 31836 grad_norm: 5.1969 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8462 loss: 0.8462 2022/10/14 11:08:26 - mmengine - INFO - Epoch(train) [95][480/940] lr: 1.0000e-04 eta: 0:47:32 time: 0.5516 data_time: 0.0251 memory: 31836 grad_norm: 5.1983 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9028 loss: 0.9028 2022/10/14 11:08:37 - mmengine - INFO - Epoch(train) [95][500/940] lr: 1.0000e-04 eta: 0:47:21 time: 0.5486 data_time: 0.0329 memory: 31836 grad_norm: 5.3962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/10/14 11:08:48 - mmengine - INFO - Epoch(train) [95][520/940] lr: 1.0000e-04 eta: 0:47:10 time: 0.5445 data_time: 0.0280 memory: 31836 grad_norm: 5.1587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9327 loss: 0.9327 2022/10/14 11:08:59 - mmengine - INFO - Epoch(train) [95][540/940] lr: 1.0000e-04 eta: 0:46:58 time: 0.5401 data_time: 0.0241 memory: 31836 grad_norm: 5.1504 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9795 loss: 0.9795 2022/10/14 11:09:10 - mmengine - INFO - Epoch(train) [95][560/940] lr: 1.0000e-04 eta: 0:46:47 time: 0.5484 data_time: 0.0320 memory: 31836 grad_norm: 5.1671 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8535 loss: 0.8535 2022/10/14 11:09:21 - mmengine - INFO - Epoch(train) [95][580/940] lr: 1.0000e-04 eta: 0:46:36 time: 0.5522 data_time: 0.0253 memory: 31836 grad_norm: 5.2950 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9616 loss: 0.9616 2022/10/14 11:09:32 - mmengine - INFO - Epoch(train) [95][600/940] lr: 1.0000e-04 eta: 0:46:25 time: 0.5497 data_time: 0.0303 memory: 31836 grad_norm: 5.1693 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8335 loss: 0.8335 2022/10/14 11:09:43 - mmengine - INFO - Epoch(train) [95][620/940] lr: 1.0000e-04 eta: 0:46:14 time: 0.5436 data_time: 0.0248 memory: 31836 grad_norm: 5.2789 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8720 loss: 0.8720 2022/10/14 11:09:53 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:09:53 - mmengine - INFO - Epoch(train) [95][640/940] lr: 1.0000e-04 eta: 0:46:03 time: 0.5443 data_time: 0.0305 memory: 31836 grad_norm: 5.2076 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9730 loss: 0.9730 2022/10/14 11:10:05 - mmengine - INFO - Epoch(train) [95][660/940] lr: 1.0000e-04 eta: 0:45:52 time: 0.5548 data_time: 0.0239 memory: 31836 grad_norm: 5.2714 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8881 loss: 0.8881 2022/10/14 11:10:16 - mmengine - INFO - Epoch(train) [95][680/940] lr: 1.0000e-04 eta: 0:45:41 time: 0.5476 data_time: 0.0296 memory: 31836 grad_norm: 5.0881 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8645 loss: 0.8645 2022/10/14 11:10:27 - mmengine - INFO - Epoch(train) [95][700/940] lr: 1.0000e-04 eta: 0:45:30 time: 0.5534 data_time: 0.0294 memory: 31836 grad_norm: 5.2053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7548 loss: 0.7548 2022/10/14 11:10:38 - mmengine - INFO - Epoch(train) [95][720/940] lr: 1.0000e-04 eta: 0:45:19 time: 0.5525 data_time: 0.0334 memory: 31836 grad_norm: 5.1985 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 0.9385 loss: 0.9385 2022/10/14 11:10:49 - mmengine - INFO - Epoch(train) [95][740/940] lr: 1.0000e-04 eta: 0:45:08 time: 0.5469 data_time: 0.0241 memory: 31836 grad_norm: 5.2005 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8875 loss: 0.8875 2022/10/14 11:11:00 - mmengine - INFO - Epoch(train) [95][760/940] lr: 1.0000e-04 eta: 0:44:57 time: 0.5509 data_time: 0.0316 memory: 31836 grad_norm: 5.1830 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8601 loss: 0.8601 2022/10/14 11:11:11 - mmengine - INFO - Epoch(train) [95][780/940] lr: 1.0000e-04 eta: 0:44:46 time: 0.5466 data_time: 0.0327 memory: 31836 grad_norm: 5.1974 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8230 loss: 0.8230 2022/10/14 11:11:21 - mmengine - INFO - Epoch(train) [95][800/940] lr: 1.0000e-04 eta: 0:44:35 time: 0.5446 data_time: 0.0313 memory: 31836 grad_norm: 5.1356 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8428 loss: 0.8428 2022/10/14 11:11:32 - mmengine - INFO - Epoch(train) [95][820/940] lr: 1.0000e-04 eta: 0:44:24 time: 0.5471 data_time: 0.0286 memory: 31836 grad_norm: 5.1580 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8480 loss: 0.8480 2022/10/14 11:11:43 - mmengine - INFO - Epoch(train) [95][840/940] lr: 1.0000e-04 eta: 0:44:13 time: 0.5416 data_time: 0.0278 memory: 31836 grad_norm: 5.3001 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/10/14 11:11:54 - mmengine - INFO - Epoch(train) [95][860/940] lr: 1.0000e-04 eta: 0:44:01 time: 0.5479 data_time: 0.0260 memory: 31836 grad_norm: 5.1664 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8436 loss: 0.8436 2022/10/14 11:12:05 - mmengine - INFO - Epoch(train) [95][880/940] lr: 1.0000e-04 eta: 0:43:50 time: 0.5446 data_time: 0.0283 memory: 31836 grad_norm: 5.2334 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8212 loss: 0.8212 2022/10/14 11:12:16 - mmengine - INFO - Epoch(train) [95][900/940] lr: 1.0000e-04 eta: 0:43:39 time: 0.5440 data_time: 0.0302 memory: 31836 grad_norm: 5.1984 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8601 loss: 0.8601 2022/10/14 11:12:27 - mmengine - INFO - Epoch(train) [95][920/940] lr: 1.0000e-04 eta: 0:43:28 time: 0.5411 data_time: 0.0308 memory: 31836 grad_norm: 5.3595 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9025 loss: 0.9025 2022/10/14 11:12:37 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:12:37 - mmengine - INFO - Epoch(train) [95][940/940] lr: 1.0000e-04 eta: 0:43:17 time: 0.5134 data_time: 0.0223 memory: 31836 grad_norm: 5.4678 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9220 loss: 0.9220 2022/10/14 11:12:50 - mmengine - INFO - Epoch(val) [95][20/78] eta: 0:00:37 time: 0.6500 data_time: 0.4993 memory: 3561 2022/10/14 11:12:59 - mmengine - INFO - Epoch(val) [95][40/78] eta: 0:00:17 time: 0.4586 data_time: 0.3102 memory: 3561 2022/10/14 11:13:11 - mmengine - INFO - Epoch(val) [95][60/78] eta: 0:00:10 time: 0.5749 data_time: 0.4274 memory: 3561 2022/10/14 11:13:21 - mmengine - INFO - Epoch(val) [95][78/78] acc/top1: 0.6930 acc/top5: 0.8792 acc/mean1: 0.6929 2022/10/14 11:13:36 - mmengine - INFO - Epoch(train) [96][20/940] lr: 1.0000e-04 eta: 0:43:06 time: 0.7666 data_time: 0.2103 memory: 31836 grad_norm: 5.2149 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9421 loss: 0.9421 2022/10/14 11:13:48 - mmengine - INFO - Epoch(train) [96][40/940] lr: 1.0000e-04 eta: 0:42:55 time: 0.5508 data_time: 0.0230 memory: 31836 grad_norm: 5.1076 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 0.9433 loss: 0.9433 2022/10/14 11:13:59 - mmengine - INFO - Epoch(train) [96][60/940] lr: 1.0000e-04 eta: 0:42:44 time: 0.5608 data_time: 0.0297 memory: 31836 grad_norm: 5.2741 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/10/14 11:14:10 - mmengine - INFO - Epoch(train) [96][80/940] lr: 1.0000e-04 eta: 0:42:33 time: 0.5511 data_time: 0.0279 memory: 31836 grad_norm: 5.1346 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8940 loss: 0.8940 2022/10/14 11:14:21 - mmengine - INFO - Epoch(train) [96][100/940] lr: 1.0000e-04 eta: 0:42:22 time: 0.5463 data_time: 0.0270 memory: 31836 grad_norm: 5.1332 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0121 loss: 1.0121 2022/10/14 11:14:32 - mmengine - INFO - Epoch(train) [96][120/940] lr: 1.0000e-04 eta: 0:42:11 time: 0.5432 data_time: 0.0275 memory: 31836 grad_norm: 5.2168 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9620 loss: 0.9620 2022/10/14 11:14:43 - mmengine - INFO - Epoch(train) [96][140/940] lr: 1.0000e-04 eta: 0:42:00 time: 0.5531 data_time: 0.0317 memory: 31836 grad_norm: 5.2269 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8769 loss: 0.8769 2022/10/14 11:14:54 - mmengine - INFO - Epoch(train) [96][160/940] lr: 1.0000e-04 eta: 0:41:49 time: 0.5519 data_time: 0.0243 memory: 31836 grad_norm: 5.2374 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8976 loss: 0.8976 2022/10/14 11:15:05 - mmengine - INFO - Epoch(train) [96][180/940] lr: 1.0000e-04 eta: 0:41:38 time: 0.5477 data_time: 0.0326 memory: 31836 grad_norm: 5.2228 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8468 loss: 0.8468 2022/10/14 11:15:16 - mmengine - INFO - Epoch(train) [96][200/940] lr: 1.0000e-04 eta: 0:41:27 time: 0.5475 data_time: 0.0293 memory: 31836 grad_norm: 5.2650 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8470 loss: 0.8470 2022/10/14 11:15:27 - mmengine - INFO - Epoch(train) [96][220/940] lr: 1.0000e-04 eta: 0:41:16 time: 0.5582 data_time: 0.0312 memory: 31836 grad_norm: 5.1664 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9600 loss: 0.9600 2022/10/14 11:15:38 - mmengine - INFO - Epoch(train) [96][240/940] lr: 1.0000e-04 eta: 0:41:05 time: 0.5509 data_time: 0.0245 memory: 31836 grad_norm: 5.4590 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9425 loss: 0.9425 2022/10/14 11:15:49 - mmengine - INFO - Epoch(train) [96][260/940] lr: 1.0000e-04 eta: 0:40:54 time: 0.5459 data_time: 0.0269 memory: 31836 grad_norm: 5.2143 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9165 loss: 0.9165 2022/10/14 11:16:00 - mmengine - INFO - Epoch(train) [96][280/940] lr: 1.0000e-04 eta: 0:40:43 time: 0.5472 data_time: 0.0280 memory: 31836 grad_norm: 5.2819 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9313 loss: 0.9313 2022/10/14 11:16:11 - mmengine - INFO - Epoch(train) [96][300/940] lr: 1.0000e-04 eta: 0:40:32 time: 0.5478 data_time: 0.0253 memory: 31836 grad_norm: 5.2589 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8849 loss: 0.8849 2022/10/14 11:16:22 - mmengine - INFO - Epoch(train) [96][320/940] lr: 1.0000e-04 eta: 0:40:21 time: 0.5504 data_time: 0.0300 memory: 31836 grad_norm: 5.2596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/10/14 11:16:32 - mmengine - INFO - Epoch(train) [96][340/940] lr: 1.0000e-04 eta: 0:40:09 time: 0.5398 data_time: 0.0269 memory: 31836 grad_norm: 5.2213 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9175 loss: 0.9175 2022/10/14 11:16:43 - mmengine - INFO - Epoch(train) [96][360/940] lr: 1.0000e-04 eta: 0:39:58 time: 0.5504 data_time: 0.0330 memory: 31836 grad_norm: 5.1479 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8424 loss: 0.8424 2022/10/14 11:16:55 - mmengine - INFO - Epoch(train) [96][380/940] lr: 1.0000e-04 eta: 0:39:47 time: 0.5553 data_time: 0.0255 memory: 31836 grad_norm: 5.1895 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9812 loss: 0.9812 2022/10/14 11:17:05 - mmengine - INFO - Epoch(train) [96][400/940] lr: 1.0000e-04 eta: 0:39:36 time: 0.5411 data_time: 0.0241 memory: 31836 grad_norm: 5.2755 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8292 loss: 0.8292 2022/10/14 11:17:16 - mmengine - INFO - Epoch(train) [96][420/940] lr: 1.0000e-04 eta: 0:39:25 time: 0.5458 data_time: 0.0333 memory: 31836 grad_norm: 5.1263 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7367 loss: 0.7367 2022/10/14 11:17:27 - mmengine - INFO - Epoch(train) [96][440/940] lr: 1.0000e-04 eta: 0:39:14 time: 0.5385 data_time: 0.0265 memory: 31836 grad_norm: 5.1002 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7858 loss: 0.7858 2022/10/14 11:17:38 - mmengine - INFO - Epoch(train) [96][460/940] lr: 1.0000e-04 eta: 0:39:03 time: 0.5429 data_time: 0.0281 memory: 31836 grad_norm: 5.0985 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8313 loss: 0.8313 2022/10/14 11:17:49 - mmengine - INFO - Epoch(train) [96][480/940] lr: 1.0000e-04 eta: 0:38:52 time: 0.5394 data_time: 0.0258 memory: 31836 grad_norm: 5.1257 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9330 loss: 0.9330 2022/10/14 11:18:00 - mmengine - INFO - Epoch(train) [96][500/940] lr: 1.0000e-04 eta: 0:38:41 time: 0.5486 data_time: 0.0267 memory: 31836 grad_norm: 5.1079 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8742 loss: 0.8742 2022/10/14 11:18:11 - mmengine - INFO - Epoch(train) [96][520/940] lr: 1.0000e-04 eta: 0:38:30 time: 0.5494 data_time: 0.0253 memory: 31836 grad_norm: 5.0640 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8510 loss: 0.8510 2022/10/14 11:18:21 - mmengine - INFO - Epoch(train) [96][540/940] lr: 1.0000e-04 eta: 0:38:19 time: 0.5394 data_time: 0.0246 memory: 31836 grad_norm: 5.2167 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9780 loss: 0.9780 2022/10/14 11:18:32 - mmengine - INFO - Epoch(train) [96][560/940] lr: 1.0000e-04 eta: 0:38:08 time: 0.5433 data_time: 0.0256 memory: 31836 grad_norm: 5.3814 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9005 loss: 0.9005 2022/10/14 11:18:43 - mmengine - INFO - Epoch(train) [96][580/940] lr: 1.0000e-04 eta: 0:37:57 time: 0.5428 data_time: 0.0301 memory: 31836 grad_norm: 5.1969 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/10/14 11:18:54 - mmengine - INFO - Epoch(train) [96][600/940] lr: 1.0000e-04 eta: 0:37:46 time: 0.5486 data_time: 0.0262 memory: 31836 grad_norm: 5.2358 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0235 loss: 1.0235 2022/10/14 11:19:05 - mmengine - INFO - Epoch(train) [96][620/940] lr: 1.0000e-04 eta: 0:37:35 time: 0.5469 data_time: 0.0271 memory: 31836 grad_norm: 5.1132 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9533 loss: 0.9533 2022/10/14 11:19:16 - mmengine - INFO - Epoch(train) [96][640/940] lr: 1.0000e-04 eta: 0:37:24 time: 0.5430 data_time: 0.0328 memory: 31836 grad_norm: 5.2009 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9598 loss: 0.9598 2022/10/14 11:19:27 - mmengine - INFO - Epoch(train) [96][660/940] lr: 1.0000e-04 eta: 0:37:12 time: 0.5446 data_time: 0.0293 memory: 31836 grad_norm: 5.2188 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9209 loss: 0.9209 2022/10/14 11:19:38 - mmengine - INFO - Epoch(train) [96][680/940] lr: 1.0000e-04 eta: 0:37:01 time: 0.5499 data_time: 0.0319 memory: 31836 grad_norm: 5.0510 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/10/14 11:19:49 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:19:49 - mmengine - INFO - Epoch(train) [96][700/940] lr: 1.0000e-04 eta: 0:36:50 time: 0.5405 data_time: 0.0274 memory: 31836 grad_norm: 5.2577 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8969 loss: 0.8969 2022/10/14 11:20:00 - mmengine - INFO - Epoch(train) [96][720/940] lr: 1.0000e-04 eta: 0:36:39 time: 0.5548 data_time: 0.0328 memory: 31836 grad_norm: 5.2863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9609 loss: 0.9609 2022/10/14 11:20:11 - mmengine - INFO - Epoch(train) [96][740/940] lr: 1.0000e-04 eta: 0:36:28 time: 0.5462 data_time: 0.0358 memory: 31836 grad_norm: 5.2289 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9067 loss: 0.9067 2022/10/14 11:20:21 - mmengine - INFO - Epoch(train) [96][760/940] lr: 1.0000e-04 eta: 0:36:17 time: 0.5413 data_time: 0.0278 memory: 31836 grad_norm: 5.2696 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9304 loss: 0.9304 2022/10/14 11:20:32 - mmengine - INFO - Epoch(train) [96][780/940] lr: 1.0000e-04 eta: 0:36:06 time: 0.5485 data_time: 0.0265 memory: 31836 grad_norm: 5.2339 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9298 loss: 0.9298 2022/10/14 11:20:43 - mmengine - INFO - Epoch(train) [96][800/940] lr: 1.0000e-04 eta: 0:35:55 time: 0.5509 data_time: 0.0231 memory: 31836 grad_norm: 5.3552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9083 loss: 0.9083 2022/10/14 11:20:55 - mmengine - INFO - Epoch(train) [96][820/940] lr: 1.0000e-04 eta: 0:35:44 time: 0.5578 data_time: 0.0239 memory: 31836 grad_norm: 5.0561 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8236 loss: 0.8236 2022/10/14 11:21:06 - mmengine - INFO - Epoch(train) [96][840/940] lr: 1.0000e-04 eta: 0:35:33 time: 0.5589 data_time: 0.0267 memory: 31836 grad_norm: 5.1766 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8448 loss: 0.8448 2022/10/14 11:21:17 - mmengine - INFO - Epoch(train) [96][860/940] lr: 1.0000e-04 eta: 0:35:22 time: 0.5455 data_time: 0.0288 memory: 31836 grad_norm: 5.2421 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/10/14 11:21:28 - mmengine - INFO - Epoch(train) [96][880/940] lr: 1.0000e-04 eta: 0:35:11 time: 0.5533 data_time: 0.0290 memory: 31836 grad_norm: 5.2218 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8803 loss: 0.8803 2022/10/14 11:21:39 - mmengine - INFO - Epoch(train) [96][900/940] lr: 1.0000e-04 eta: 0:35:00 time: 0.5488 data_time: 0.0315 memory: 31836 grad_norm: 5.2706 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/10/14 11:21:50 - mmengine - INFO - Epoch(train) [96][920/940] lr: 1.0000e-04 eta: 0:34:49 time: 0.5442 data_time: 0.0259 memory: 31836 grad_norm: 5.2982 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9237 loss: 0.9237 2022/10/14 11:22:00 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:22:00 - mmengine - INFO - Epoch(train) [96][940/940] lr: 1.0000e-04 eta: 0:34:38 time: 0.5116 data_time: 0.0264 memory: 31836 grad_norm: 5.4975 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.9128 loss: 0.9128 2022/10/14 11:22:00 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/10/14 11:22:14 - mmengine - INFO - Epoch(val) [96][20/78] eta: 0:00:38 time: 0.6557 data_time: 0.5059 memory: 3561 2022/10/14 11:22:24 - mmengine - INFO - Epoch(val) [96][40/78] eta: 0:00:17 time: 0.4609 data_time: 0.3128 memory: 3561 2022/10/14 11:22:36 - mmengine - INFO - Epoch(val) [96][60/78] eta: 0:00:11 time: 0.6239 data_time: 0.4731 memory: 3561 2022/10/14 11:22:45 - mmengine - INFO - Epoch(val) [96][78/78] acc/top1: 0.6921 acc/top5: 0.8798 acc/mean1: 0.6920 2022/10/14 11:23:01 - mmengine - INFO - Epoch(train) [97][20/940] lr: 1.0000e-04 eta: 0:34:27 time: 0.8200 data_time: 0.2810 memory: 31836 grad_norm: 5.3004 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8488 loss: 0.8488 2022/10/14 11:23:12 - mmengine - INFO - Epoch(train) [97][40/940] lr: 1.0000e-04 eta: 0:34:16 time: 0.5507 data_time: 0.0240 memory: 31836 grad_norm: 5.1955 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9157 loss: 0.9157 2022/10/14 11:23:23 - mmengine - INFO - Epoch(train) [97][60/940] lr: 1.0000e-04 eta: 0:34:05 time: 0.5612 data_time: 0.0304 memory: 31836 grad_norm: 5.1801 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8898 loss: 0.8898 2022/10/14 11:23:34 - mmengine - INFO - Epoch(train) [97][80/940] lr: 1.0000e-04 eta: 0:33:54 time: 0.5520 data_time: 0.0364 memory: 31836 grad_norm: 5.1839 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0309 loss: 1.0309 2022/10/14 11:23:45 - mmengine - INFO - Epoch(train) [97][100/940] lr: 1.0000e-04 eta: 0:33:43 time: 0.5463 data_time: 0.0310 memory: 31836 grad_norm: 5.2089 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9578 loss: 0.9578 2022/10/14 11:23:57 - mmengine - INFO - Epoch(train) [97][120/940] lr: 1.0000e-04 eta: 0:33:32 time: 0.5590 data_time: 0.0344 memory: 31836 grad_norm: 5.1306 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0504 loss: 1.0504 2022/10/14 11:24:07 - mmengine - INFO - Epoch(train) [97][140/940] lr: 1.0000e-04 eta: 0:33:20 time: 0.5431 data_time: 0.0287 memory: 31836 grad_norm: 5.2000 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7998 loss: 0.7998 2022/10/14 11:24:18 - mmengine - INFO - Epoch(train) [97][160/940] lr: 1.0000e-04 eta: 0:33:09 time: 0.5419 data_time: 0.0285 memory: 31836 grad_norm: 5.2505 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8899 loss: 0.8899 2022/10/14 11:24:29 - mmengine - INFO - Epoch(train) [97][180/940] lr: 1.0000e-04 eta: 0:32:58 time: 0.5498 data_time: 0.0302 memory: 31836 grad_norm: 5.1899 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8901 loss: 0.8901 2022/10/14 11:24:40 - mmengine - INFO - Epoch(train) [97][200/940] lr: 1.0000e-04 eta: 0:32:47 time: 0.5521 data_time: 0.0356 memory: 31836 grad_norm: 5.1767 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9271 loss: 0.9271 2022/10/14 11:24:51 - mmengine - INFO - Epoch(train) [97][220/940] lr: 1.0000e-04 eta: 0:32:36 time: 0.5520 data_time: 0.0254 memory: 31836 grad_norm: 5.2539 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9158 loss: 0.9158 2022/10/14 11:25:02 - mmengine - INFO - Epoch(train) [97][240/940] lr: 1.0000e-04 eta: 0:32:25 time: 0.5520 data_time: 0.0342 memory: 31836 grad_norm: 5.2294 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8666 loss: 0.8666 2022/10/14 11:25:13 - mmengine - INFO - Epoch(train) [97][260/940] lr: 1.0000e-04 eta: 0:32:14 time: 0.5523 data_time: 0.0263 memory: 31836 grad_norm: 5.3217 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9712 loss: 0.9712 2022/10/14 11:25:24 - mmengine - INFO - Epoch(train) [97][280/940] lr: 1.0000e-04 eta: 0:32:03 time: 0.5475 data_time: 0.0307 memory: 31836 grad_norm: 5.2617 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0045 loss: 1.0045 2022/10/14 11:25:35 - mmengine - INFO - Epoch(train) [97][300/940] lr: 1.0000e-04 eta: 0:31:52 time: 0.5547 data_time: 0.0317 memory: 31836 grad_norm: 5.1789 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8551 loss: 0.8551 2022/10/14 11:25:46 - mmengine - INFO - Epoch(train) [97][320/940] lr: 1.0000e-04 eta: 0:31:41 time: 0.5462 data_time: 0.0268 memory: 31836 grad_norm: 5.1640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8674 loss: 0.8674 2022/10/14 11:25:57 - mmengine - INFO - Epoch(train) [97][340/940] lr: 1.0000e-04 eta: 0:31:30 time: 0.5502 data_time: 0.0333 memory: 31836 grad_norm: 5.3758 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9363 loss: 0.9363 2022/10/14 11:26:08 - mmengine - INFO - Epoch(train) [97][360/940] lr: 1.0000e-04 eta: 0:31:19 time: 0.5481 data_time: 0.0298 memory: 31836 grad_norm: 5.2849 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7575 loss: 0.7575 2022/10/14 11:26:19 - mmengine - INFO - Epoch(train) [97][380/940] lr: 1.0000e-04 eta: 0:31:08 time: 0.5468 data_time: 0.0315 memory: 31836 grad_norm: 5.1860 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8800 loss: 0.8800 2022/10/14 11:26:30 - mmengine - INFO - Epoch(train) [97][400/940] lr: 1.0000e-04 eta: 0:30:57 time: 0.5598 data_time: 0.0312 memory: 31836 grad_norm: 5.2240 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0275 loss: 1.0275 2022/10/14 11:26:42 - mmengine - INFO - Epoch(train) [97][420/940] lr: 1.0000e-04 eta: 0:30:46 time: 0.5566 data_time: 0.0288 memory: 31836 grad_norm: 5.2966 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9981 loss: 0.9981 2022/10/14 11:26:53 - mmengine - INFO - Epoch(train) [97][440/940] lr: 1.0000e-04 eta: 0:30:35 time: 0.5715 data_time: 0.0239 memory: 31836 grad_norm: 5.2398 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.8616 loss: 0.8616 2022/10/14 11:27:04 - mmengine - INFO - Epoch(train) [97][460/940] lr: 1.0000e-04 eta: 0:30:24 time: 0.5462 data_time: 0.0238 memory: 31836 grad_norm: 5.2362 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9695 loss: 0.9695 2022/10/14 11:27:15 - mmengine - INFO - Epoch(train) [97][480/940] lr: 1.0000e-04 eta: 0:30:13 time: 0.5568 data_time: 0.0329 memory: 31836 grad_norm: 5.1681 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8454 loss: 0.8454 2022/10/14 11:27:26 - mmengine - INFO - Epoch(train) [97][500/940] lr: 1.0000e-04 eta: 0:30:01 time: 0.5630 data_time: 0.0296 memory: 31836 grad_norm: 5.1769 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8998 loss: 0.8998 2022/10/14 11:27:37 - mmengine - INFO - Epoch(train) [97][520/940] lr: 1.0000e-04 eta: 0:29:50 time: 0.5502 data_time: 0.0286 memory: 31836 grad_norm: 5.2188 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/10/14 11:27:48 - mmengine - INFO - Epoch(train) [97][540/940] lr: 1.0000e-04 eta: 0:29:39 time: 0.5484 data_time: 0.0303 memory: 31836 grad_norm: 5.1028 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7822 loss: 0.7822 2022/10/14 11:27:59 - mmengine - INFO - Epoch(train) [97][560/940] lr: 1.0000e-04 eta: 0:29:28 time: 0.5493 data_time: 0.0271 memory: 31836 grad_norm: 5.2608 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9200 loss: 0.9200 2022/10/14 11:28:10 - mmengine - INFO - Epoch(train) [97][580/940] lr: 1.0000e-04 eta: 0:29:17 time: 0.5496 data_time: 0.0304 memory: 31836 grad_norm: 5.2024 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9283 loss: 0.9283 2022/10/14 11:28:21 - mmengine - INFO - Epoch(train) [97][600/940] lr: 1.0000e-04 eta: 0:29:06 time: 0.5477 data_time: 0.0257 memory: 31836 grad_norm: 5.1169 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8719 loss: 0.8719 2022/10/14 11:28:32 - mmengine - INFO - Epoch(train) [97][620/940] lr: 1.0000e-04 eta: 0:28:55 time: 0.5470 data_time: 0.0301 memory: 31836 grad_norm: 5.3134 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9678 loss: 0.9678 2022/10/14 11:28:43 - mmengine - INFO - Epoch(train) [97][640/940] lr: 1.0000e-04 eta: 0:28:44 time: 0.5462 data_time: 0.0235 memory: 31836 grad_norm: 5.3599 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9334 loss: 0.9334 2022/10/14 11:28:54 - mmengine - INFO - Epoch(train) [97][660/940] lr: 1.0000e-04 eta: 0:28:33 time: 0.5433 data_time: 0.0242 memory: 31836 grad_norm: 5.2503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/10/14 11:29:05 - mmengine - INFO - Epoch(train) [97][680/940] lr: 1.0000e-04 eta: 0:28:22 time: 0.5444 data_time: 0.0286 memory: 31836 grad_norm: 5.2628 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8932 loss: 0.8932 2022/10/14 11:29:16 - mmengine - INFO - Epoch(train) [97][700/940] lr: 1.0000e-04 eta: 0:28:11 time: 0.5421 data_time: 0.0273 memory: 31836 grad_norm: 5.3079 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8612 loss: 0.8612 2022/10/14 11:29:27 - mmengine - INFO - Epoch(train) [97][720/940] lr: 1.0000e-04 eta: 0:28:00 time: 0.5471 data_time: 0.0291 memory: 31836 grad_norm: 5.2742 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9982 loss: 0.9982 2022/10/14 11:29:38 - mmengine - INFO - Epoch(train) [97][740/940] lr: 1.0000e-04 eta: 0:27:49 time: 0.5514 data_time: 0.0280 memory: 31836 grad_norm: 5.2350 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/10/14 11:29:49 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:29:49 - mmengine - INFO - Epoch(train) [97][760/940] lr: 1.0000e-04 eta: 0:27:38 time: 0.5493 data_time: 0.0294 memory: 31836 grad_norm: 5.2936 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9162 loss: 0.9162 2022/10/14 11:30:00 - mmengine - INFO - Epoch(train) [97][780/940] lr: 1.0000e-04 eta: 0:27:27 time: 0.5522 data_time: 0.0322 memory: 31836 grad_norm: 5.1681 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9377 loss: 0.9377 2022/10/14 11:30:11 - mmengine - INFO - Epoch(train) [97][800/940] lr: 1.0000e-04 eta: 0:27:16 time: 0.5446 data_time: 0.0246 memory: 31836 grad_norm: 5.3513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9458 loss: 0.9458 2022/10/14 11:30:22 - mmengine - INFO - Epoch(train) [97][820/940] lr: 1.0000e-04 eta: 0:27:05 time: 0.5564 data_time: 0.0316 memory: 31836 grad_norm: 5.2012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/10/14 11:30:35 - mmengine - INFO - Epoch(train) [97][840/940] lr: 1.0000e-04 eta: 0:26:54 time: 0.6821 data_time: 0.0282 memory: 31836 grad_norm: 5.1166 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7772 loss: 0.7772 2022/10/14 11:30:47 - mmengine - INFO - Epoch(train) [97][860/940] lr: 1.0000e-04 eta: 0:26:43 time: 0.5543 data_time: 0.0254 memory: 31836 grad_norm: 5.2282 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9429 loss: 0.9429 2022/10/14 11:30:58 - mmengine - INFO - Epoch(train) [97][880/940] lr: 1.0000e-04 eta: 0:26:31 time: 0.5497 data_time: 0.0347 memory: 31836 grad_norm: 5.2657 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8699 loss: 0.8699 2022/10/14 11:31:09 - mmengine - INFO - Epoch(train) [97][900/940] lr: 1.0000e-04 eta: 0:26:20 time: 0.5597 data_time: 0.0237 memory: 31836 grad_norm: 5.1178 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8979 loss: 0.8979 2022/10/14 11:31:20 - mmengine - INFO - Epoch(train) [97][920/940] lr: 1.0000e-04 eta: 0:26:09 time: 0.5553 data_time: 0.0281 memory: 31836 grad_norm: 5.3768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8988 loss: 0.8988 2022/10/14 11:31:30 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:31:30 - mmengine - INFO - Epoch(train) [97][940/940] lr: 1.0000e-04 eta: 0:25:58 time: 0.5187 data_time: 0.0279 memory: 31836 grad_norm: 5.6371 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1678 loss: 1.1678 2022/10/14 11:31:44 - mmengine - INFO - Epoch(val) [97][20/78] eta: 0:00:39 time: 0.6885 data_time: 0.5360 memory: 3561 2022/10/14 11:31:53 - mmengine - INFO - Epoch(val) [97][40/78] eta: 0:00:17 time: 0.4499 data_time: 0.2993 memory: 3561 2022/10/14 11:32:05 - mmengine - INFO - Epoch(val) [97][60/78] eta: 0:00:10 time: 0.6050 data_time: 0.4551 memory: 3561 2022/10/14 11:32:14 - mmengine - INFO - Epoch(val) [97][78/78] acc/top1: 0.6930 acc/top5: 0.8807 acc/mean1: 0.6929 2022/10/14 11:32:30 - mmengine - INFO - Epoch(train) [98][20/940] lr: 1.0000e-04 eta: 0:25:47 time: 0.7938 data_time: 0.2318 memory: 31836 grad_norm: 5.2036 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8884 loss: 0.8884 2022/10/14 11:32:41 - mmengine - INFO - Epoch(train) [98][40/940] lr: 1.0000e-04 eta: 0:25:36 time: 0.5538 data_time: 0.0256 memory: 31836 grad_norm: 5.1995 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9352 loss: 0.9352 2022/10/14 11:32:52 - mmengine - INFO - Epoch(train) [98][60/940] lr: 1.0000e-04 eta: 0:25:25 time: 0.5559 data_time: 0.0311 memory: 31836 grad_norm: 5.2891 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8864 loss: 0.8864 2022/10/14 11:33:03 - mmengine - INFO - Epoch(train) [98][80/940] lr: 1.0000e-04 eta: 0:25:14 time: 0.5520 data_time: 0.0287 memory: 31836 grad_norm: 5.2303 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9104 loss: 0.9104 2022/10/14 11:33:14 - mmengine - INFO - Epoch(train) [98][100/940] lr: 1.0000e-04 eta: 0:25:03 time: 0.5552 data_time: 0.0317 memory: 31836 grad_norm: 5.1903 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8594 loss: 0.8594 2022/10/14 11:33:25 - mmengine - INFO - Epoch(train) [98][120/940] lr: 1.0000e-04 eta: 0:24:52 time: 0.5517 data_time: 0.0250 memory: 31836 grad_norm: 5.1050 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9028 loss: 0.9028 2022/10/14 11:33:36 - mmengine - INFO - Epoch(train) [98][140/940] lr: 1.0000e-04 eta: 0:24:41 time: 0.5466 data_time: 0.0320 memory: 31836 grad_norm: 5.2634 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8561 loss: 0.8561 2022/10/14 11:33:47 - mmengine - INFO - Epoch(train) [98][160/940] lr: 1.0000e-04 eta: 0:24:30 time: 0.5424 data_time: 0.0261 memory: 31836 grad_norm: 5.0238 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9974 loss: 0.9974 2022/10/14 11:33:58 - mmengine - INFO - Epoch(train) [98][180/940] lr: 1.0000e-04 eta: 0:24:19 time: 0.5518 data_time: 0.0295 memory: 31836 grad_norm: 5.0984 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8244 loss: 0.8244 2022/10/14 11:34:09 - mmengine - INFO - Epoch(train) [98][200/940] lr: 1.0000e-04 eta: 0:24:08 time: 0.5532 data_time: 0.0250 memory: 31836 grad_norm: 5.2045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/10/14 11:34:20 - mmengine - INFO - Epoch(train) [98][220/940] lr: 1.0000e-04 eta: 0:23:57 time: 0.5468 data_time: 0.0251 memory: 31836 grad_norm: 5.1872 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9036 loss: 0.9036 2022/10/14 11:34:31 - mmengine - INFO - Epoch(train) [98][240/940] lr: 1.0000e-04 eta: 0:23:46 time: 0.5465 data_time: 0.0233 memory: 31836 grad_norm: 5.3297 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0072 loss: 1.0072 2022/10/14 11:34:44 - mmengine - INFO - Epoch(train) [98][260/940] lr: 1.0000e-04 eta: 0:23:35 time: 0.6247 data_time: 0.0289 memory: 31836 grad_norm: 5.0996 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8037 loss: 0.8037 2022/10/14 11:34:55 - mmengine - INFO - Epoch(train) [98][280/940] lr: 1.0000e-04 eta: 0:23:24 time: 0.5592 data_time: 0.0296 memory: 31836 grad_norm: 5.2297 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9988 loss: 0.9988 2022/10/14 11:35:06 - mmengine - INFO - Epoch(train) [98][300/940] lr: 1.0000e-04 eta: 0:23:13 time: 0.5502 data_time: 0.0270 memory: 31836 grad_norm: 5.1807 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8824 loss: 0.8824 2022/10/14 11:35:17 - mmengine - INFO - Epoch(train) [98][320/940] lr: 1.0000e-04 eta: 0:23:02 time: 0.5449 data_time: 0.0281 memory: 31836 grad_norm: 5.1589 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/10/14 11:35:28 - mmengine - INFO - Epoch(train) [98][340/940] lr: 1.0000e-04 eta: 0:22:50 time: 0.5485 data_time: 0.0300 memory: 31836 grad_norm: 5.1314 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9058 loss: 0.9058 2022/10/14 11:35:39 - mmengine - INFO - Epoch(train) [98][360/940] lr: 1.0000e-04 eta: 0:22:39 time: 0.5497 data_time: 0.0329 memory: 31836 grad_norm: 5.2951 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9322 loss: 0.9322 2022/10/14 11:35:50 - mmengine - INFO - Epoch(train) [98][380/940] lr: 1.0000e-04 eta: 0:22:28 time: 0.5511 data_time: 0.0257 memory: 31836 grad_norm: 5.2689 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.0673 loss: 1.0673 2022/10/14 11:36:01 - mmengine - INFO - Epoch(train) [98][400/940] lr: 1.0000e-04 eta: 0:22:17 time: 0.5500 data_time: 0.0266 memory: 31836 grad_norm: 5.1293 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/10/14 11:36:12 - mmengine - INFO - Epoch(train) [98][420/940] lr: 1.0000e-04 eta: 0:22:06 time: 0.5510 data_time: 0.0317 memory: 31836 grad_norm: 5.1106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8735 loss: 0.8735 2022/10/14 11:36:23 - mmengine - INFO - Epoch(train) [98][440/940] lr: 1.0000e-04 eta: 0:21:55 time: 0.5492 data_time: 0.0261 memory: 31836 grad_norm: 5.2419 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8450 loss: 0.8450 2022/10/14 11:36:36 - mmengine - INFO - Epoch(train) [98][460/940] lr: 1.0000e-04 eta: 0:21:44 time: 0.6868 data_time: 0.0259 memory: 31836 grad_norm: 5.2161 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9782 loss: 0.9782 2022/10/14 11:36:47 - mmengine - INFO - Epoch(train) [98][480/940] lr: 1.0000e-04 eta: 0:21:33 time: 0.5514 data_time: 0.0241 memory: 31836 grad_norm: 5.1809 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/10/14 11:36:58 - mmengine - INFO - Epoch(train) [98][500/940] lr: 1.0000e-04 eta: 0:21:22 time: 0.5531 data_time: 0.0255 memory: 31836 grad_norm: 5.3108 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8949 loss: 0.8949 2022/10/14 11:37:09 - mmengine - INFO - Epoch(train) [98][520/940] lr: 1.0000e-04 eta: 0:21:11 time: 0.5435 data_time: 0.0302 memory: 31836 grad_norm: 5.2197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9584 loss: 0.9584 2022/10/14 11:37:20 - mmengine - INFO - Epoch(train) [98][540/940] lr: 1.0000e-04 eta: 0:21:00 time: 0.5461 data_time: 0.0290 memory: 31836 grad_norm: 5.2712 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9375 loss: 0.9375 2022/10/14 11:37:31 - mmengine - INFO - Epoch(train) [98][560/940] lr: 1.0000e-04 eta: 0:20:49 time: 0.5562 data_time: 0.0306 memory: 31836 grad_norm: 5.1866 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8817 loss: 0.8817 2022/10/14 11:37:42 - mmengine - INFO - Epoch(train) [98][580/940] lr: 1.0000e-04 eta: 0:20:38 time: 0.5554 data_time: 0.0284 memory: 31836 grad_norm: 5.2043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8979 loss: 0.8979 2022/10/14 11:37:54 - mmengine - INFO - Epoch(train) [98][600/940] lr: 1.0000e-04 eta: 0:20:27 time: 0.5532 data_time: 0.0282 memory: 31836 grad_norm: 5.2967 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9794 loss: 0.9794 2022/10/14 11:38:04 - mmengine - INFO - Epoch(train) [98][620/940] lr: 1.0000e-04 eta: 0:20:16 time: 0.5446 data_time: 0.0289 memory: 31836 grad_norm: 5.1709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8251 loss: 0.8251 2022/10/14 11:38:15 - mmengine - INFO - Epoch(train) [98][640/940] lr: 1.0000e-04 eta: 0:20:05 time: 0.5435 data_time: 0.0295 memory: 31836 grad_norm: 5.3317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8637 loss: 0.8637 2022/10/14 11:38:26 - mmengine - INFO - Epoch(train) [98][660/940] lr: 1.0000e-04 eta: 0:19:54 time: 0.5456 data_time: 0.0318 memory: 31836 grad_norm: 5.3288 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9064 loss: 0.9064 2022/10/14 11:38:37 - mmengine - INFO - Epoch(train) [98][680/940] lr: 1.0000e-04 eta: 0:19:43 time: 0.5568 data_time: 0.0337 memory: 31836 grad_norm: 5.1655 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/10/14 11:38:48 - mmengine - INFO - Epoch(train) [98][700/940] lr: 1.0000e-04 eta: 0:19:32 time: 0.5409 data_time: 0.0242 memory: 31836 grad_norm: 5.1527 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8939 loss: 0.8939 2022/10/14 11:38:59 - mmengine - INFO - Epoch(train) [98][720/940] lr: 1.0000e-04 eta: 0:19:20 time: 0.5507 data_time: 0.0293 memory: 31836 grad_norm: 5.4162 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9155 loss: 0.9155 2022/10/14 11:39:10 - mmengine - INFO - Epoch(train) [98][740/940] lr: 1.0000e-04 eta: 0:19:09 time: 0.5382 data_time: 0.0248 memory: 31836 grad_norm: 5.2727 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9465 loss: 0.9465 2022/10/14 11:39:21 - mmengine - INFO - Epoch(train) [98][760/940] lr: 1.0000e-04 eta: 0:18:58 time: 0.5561 data_time: 0.0254 memory: 31836 grad_norm: 5.2786 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8302 loss: 0.8302 2022/10/14 11:39:32 - mmengine - INFO - Epoch(train) [98][780/940] lr: 1.0000e-04 eta: 0:18:47 time: 0.5503 data_time: 0.0248 memory: 31836 grad_norm: 5.2406 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8012 loss: 0.8012 2022/10/14 11:39:43 - mmengine - INFO - Epoch(train) [98][800/940] lr: 1.0000e-04 eta: 0:18:36 time: 0.5487 data_time: 0.0274 memory: 31836 grad_norm: 5.2779 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/10/14 11:39:54 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:39:54 - mmengine - INFO - Epoch(train) [98][820/940] lr: 1.0000e-04 eta: 0:18:25 time: 0.5574 data_time: 0.0353 memory: 31836 grad_norm: 5.2156 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/10/14 11:40:05 - mmengine - INFO - Epoch(train) [98][840/940] lr: 1.0000e-04 eta: 0:18:14 time: 0.5543 data_time: 0.0290 memory: 31836 grad_norm: 5.2419 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9704 loss: 0.9704 2022/10/14 11:40:16 - mmengine - INFO - Epoch(train) [98][860/940] lr: 1.0000e-04 eta: 0:18:03 time: 0.5574 data_time: 0.0237 memory: 31836 grad_norm: 5.2373 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9409 loss: 0.9409 2022/10/14 11:40:27 - mmengine - INFO - Epoch(train) [98][880/940] lr: 1.0000e-04 eta: 0:17:52 time: 0.5377 data_time: 0.0259 memory: 31836 grad_norm: 5.3234 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9913 loss: 0.9913 2022/10/14 11:40:38 - mmengine - INFO - Epoch(train) [98][900/940] lr: 1.0000e-04 eta: 0:17:41 time: 0.5551 data_time: 0.0321 memory: 31836 grad_norm: 5.2428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8905 loss: 0.8905 2022/10/14 11:40:49 - mmengine - INFO - Epoch(train) [98][920/940] lr: 1.0000e-04 eta: 0:17:30 time: 0.5485 data_time: 0.0281 memory: 31836 grad_norm: 5.2133 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9347 loss: 0.9347 2022/10/14 11:41:00 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:41:00 - mmengine - INFO - Epoch(train) [98][940/940] lr: 1.0000e-04 eta: 0:17:19 time: 0.5152 data_time: 0.0220 memory: 31836 grad_norm: 5.4174 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.9294 loss: 0.9294 2022/10/14 11:41:14 - mmengine - INFO - Epoch(val) [98][20/78] eta: 0:00:41 time: 0.7194 data_time: 0.5706 memory: 3561 2022/10/14 11:41:25 - mmengine - INFO - Epoch(val) [98][40/78] eta: 0:00:20 time: 0.5394 data_time: 0.3902 memory: 3561 2022/10/14 11:41:35 - mmengine - INFO - Epoch(val) [98][60/78] eta: 0:00:09 time: 0.5157 data_time: 0.3675 memory: 3561 2022/10/14 11:41:47 - mmengine - INFO - Epoch(val) [98][78/78] acc/top1: 0.6919 acc/top5: 0.8797 acc/mean1: 0.6917 2022/10/14 11:42:03 - mmengine - INFO - Epoch(train) [99][20/940] lr: 1.0000e-04 eta: 0:17:08 time: 0.8042 data_time: 0.2076 memory: 31836 grad_norm: 5.1925 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9522 loss: 0.9522 2022/10/14 11:42:14 - mmengine - INFO - Epoch(train) [99][40/940] lr: 1.0000e-04 eta: 0:16:57 time: 0.5519 data_time: 0.0246 memory: 31836 grad_norm: 5.1742 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9587 loss: 0.9587 2022/10/14 11:42:25 - mmengine - INFO - Epoch(train) [99][60/940] lr: 1.0000e-04 eta: 0:16:46 time: 0.5586 data_time: 0.0276 memory: 31836 grad_norm: 5.1774 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9153 loss: 0.9153 2022/10/14 11:42:36 - mmengine - INFO - Epoch(train) [99][80/940] lr: 1.0000e-04 eta: 0:16:35 time: 0.5451 data_time: 0.0255 memory: 31836 grad_norm: 5.2808 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9052 loss: 0.9052 2022/10/14 11:42:47 - mmengine - INFO - Epoch(train) [99][100/940] lr: 1.0000e-04 eta: 0:16:24 time: 0.5556 data_time: 0.0277 memory: 31836 grad_norm: 5.2659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8918 loss: 0.8918 2022/10/14 11:42:58 - mmengine - INFO - Epoch(train) [99][120/940] lr: 1.0000e-04 eta: 0:16:13 time: 0.5464 data_time: 0.0267 memory: 31836 grad_norm: 5.1698 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9181 loss: 0.9181 2022/10/14 11:43:09 - mmengine - INFO - Epoch(train) [99][140/940] lr: 1.0000e-04 eta: 0:16:01 time: 0.5477 data_time: 0.0274 memory: 31836 grad_norm: 5.2703 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0004 loss: 1.0004 2022/10/14 11:43:20 - mmengine - INFO - Epoch(train) [99][160/940] lr: 1.0000e-04 eta: 0:15:50 time: 0.5395 data_time: 0.0260 memory: 31836 grad_norm: 5.2642 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/10/14 11:43:31 - mmengine - INFO - Epoch(train) [99][180/940] lr: 1.0000e-04 eta: 0:15:39 time: 0.5422 data_time: 0.0273 memory: 31836 grad_norm: 5.2570 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9262 loss: 0.9262 2022/10/14 11:43:42 - mmengine - INFO - Epoch(train) [99][200/940] lr: 1.0000e-04 eta: 0:15:28 time: 0.5483 data_time: 0.0277 memory: 31836 grad_norm: 5.3041 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8782 loss: 0.8782 2022/10/14 11:43:53 - mmengine - INFO - Epoch(train) [99][220/940] lr: 1.0000e-04 eta: 0:15:17 time: 0.5559 data_time: 0.0274 memory: 31836 grad_norm: 5.1967 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7829 loss: 0.7829 2022/10/14 11:44:04 - mmengine - INFO - Epoch(train) [99][240/940] lr: 1.0000e-04 eta: 0:15:06 time: 0.5436 data_time: 0.0308 memory: 31836 grad_norm: 5.2283 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9212 loss: 0.9212 2022/10/14 11:44:15 - mmengine - INFO - Epoch(train) [99][260/940] lr: 1.0000e-04 eta: 0:14:55 time: 0.5440 data_time: 0.0261 memory: 31836 grad_norm: 5.0900 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9336 loss: 0.9336 2022/10/14 11:44:26 - mmengine - INFO - Epoch(train) [99][280/940] lr: 1.0000e-04 eta: 0:14:44 time: 0.5485 data_time: 0.0275 memory: 31836 grad_norm: 5.1038 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8738 loss: 0.8738 2022/10/14 11:44:37 - mmengine - INFO - Epoch(train) [99][300/940] lr: 1.0000e-04 eta: 0:14:33 time: 0.5542 data_time: 0.0314 memory: 31836 grad_norm: 5.2703 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9036 loss: 0.9036 2022/10/14 11:44:48 - mmengine - INFO - Epoch(train) [99][320/940] lr: 1.0000e-04 eta: 0:14:22 time: 0.5485 data_time: 0.0295 memory: 31836 grad_norm: 5.2234 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8326 loss: 0.8326 2022/10/14 11:44:59 - mmengine - INFO - Epoch(train) [99][340/940] lr: 1.0000e-04 eta: 0:14:11 time: 0.5498 data_time: 0.0341 memory: 31836 grad_norm: 5.3637 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8872 loss: 0.8872 2022/10/14 11:45:09 - mmengine - INFO - Epoch(train) [99][360/940] lr: 1.0000e-04 eta: 0:14:00 time: 0.5417 data_time: 0.0298 memory: 31836 grad_norm: 5.0719 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/10/14 11:45:21 - mmengine - INFO - Epoch(train) [99][380/940] lr: 1.0000e-04 eta: 0:13:49 time: 0.5531 data_time: 0.0335 memory: 31836 grad_norm: 5.3020 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9073 loss: 0.9073 2022/10/14 11:45:32 - mmengine - INFO - Epoch(train) [99][400/940] lr: 1.0000e-04 eta: 0:13:38 time: 0.5514 data_time: 0.0292 memory: 31836 grad_norm: 5.1702 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9448 loss: 0.9448 2022/10/14 11:45:43 - mmengine - INFO - Epoch(train) [99][420/940] lr: 1.0000e-04 eta: 0:13:27 time: 0.5521 data_time: 0.0315 memory: 31836 grad_norm: 5.2517 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8730 loss: 0.8730 2022/10/14 11:45:53 - mmengine - INFO - Epoch(train) [99][440/940] lr: 1.0000e-04 eta: 0:13:16 time: 0.5437 data_time: 0.0285 memory: 31836 grad_norm: 5.2509 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9683 loss: 0.9683 2022/10/14 11:46:04 - mmengine - INFO - Epoch(train) [99][460/940] lr: 1.0000e-04 eta: 0:13:05 time: 0.5454 data_time: 0.0334 memory: 31836 grad_norm: 5.1764 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9071 loss: 0.9071 2022/10/14 11:46:15 - mmengine - INFO - Epoch(train) [99][480/940] lr: 1.0000e-04 eta: 0:12:53 time: 0.5483 data_time: 0.0289 memory: 31836 grad_norm: 5.1583 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8634 loss: 0.8634 2022/10/14 11:46:27 - mmengine - INFO - Epoch(train) [99][500/940] lr: 1.0000e-04 eta: 0:12:42 time: 0.5605 data_time: 0.0349 memory: 31836 grad_norm: 5.3090 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8632 loss: 0.8632 2022/10/14 11:46:37 - mmengine - INFO - Epoch(train) [99][520/940] lr: 1.0000e-04 eta: 0:12:31 time: 0.5450 data_time: 0.0280 memory: 31836 grad_norm: 5.1570 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9039 loss: 0.9039 2022/10/14 11:46:48 - mmengine - INFO - Epoch(train) [99][540/940] lr: 1.0000e-04 eta: 0:12:20 time: 0.5482 data_time: 0.0354 memory: 31836 grad_norm: 5.1806 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9407 loss: 0.9407 2022/10/14 11:46:59 - mmengine - INFO - Epoch(train) [99][560/940] lr: 1.0000e-04 eta: 0:12:09 time: 0.5448 data_time: 0.0274 memory: 31836 grad_norm: 5.1068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8403 loss: 0.8403 2022/10/14 11:47:10 - mmengine - INFO - Epoch(train) [99][580/940] lr: 1.0000e-04 eta: 0:11:58 time: 0.5550 data_time: 0.0251 memory: 31836 grad_norm: 5.2575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/10/14 11:47:21 - mmengine - INFO - Epoch(train) [99][600/940] lr: 1.0000e-04 eta: 0:11:47 time: 0.5452 data_time: 0.0231 memory: 31836 grad_norm: 5.2157 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9054 loss: 0.9054 2022/10/14 11:47:32 - mmengine - INFO - Epoch(train) [99][620/940] lr: 1.0000e-04 eta: 0:11:36 time: 0.5498 data_time: 0.0278 memory: 31836 grad_norm: 5.1331 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8672 loss: 0.8672 2022/10/14 11:47:43 - mmengine - INFO - Epoch(train) [99][640/940] lr: 1.0000e-04 eta: 0:11:25 time: 0.5447 data_time: 0.0253 memory: 31836 grad_norm: 5.2111 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9187 loss: 0.9187 2022/10/14 11:47:54 - mmengine - INFO - Epoch(train) [99][660/940] lr: 1.0000e-04 eta: 0:11:14 time: 0.5563 data_time: 0.0312 memory: 31836 grad_norm: 5.1921 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8051 loss: 0.8051 2022/10/14 11:48:06 - mmengine - INFO - Epoch(train) [99][680/940] lr: 1.0000e-04 eta: 0:11:03 time: 0.5567 data_time: 0.0348 memory: 31836 grad_norm: 5.1378 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8566 loss: 0.8566 2022/10/14 11:48:16 - mmengine - INFO - Epoch(train) [99][700/940] lr: 1.0000e-04 eta: 0:10:52 time: 0.5449 data_time: 0.0304 memory: 31836 grad_norm: 5.4104 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8853 loss: 0.8853 2022/10/14 11:48:27 - mmengine - INFO - Epoch(train) [99][720/940] lr: 1.0000e-04 eta: 0:10:41 time: 0.5508 data_time: 0.0272 memory: 31836 grad_norm: 5.2058 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9595 loss: 0.9595 2022/10/14 11:48:38 - mmengine - INFO - Epoch(train) [99][740/940] lr: 1.0000e-04 eta: 0:10:30 time: 0.5516 data_time: 0.0328 memory: 31836 grad_norm: 5.3941 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9168 loss: 0.9168 2022/10/14 11:48:49 - mmengine - INFO - Epoch(train) [99][760/940] lr: 1.0000e-04 eta: 0:10:19 time: 0.5447 data_time: 0.0279 memory: 31836 grad_norm: 5.2486 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9144 loss: 0.9144 2022/10/14 11:49:00 - mmengine - INFO - Epoch(train) [99][780/940] lr: 1.0000e-04 eta: 0:10:08 time: 0.5468 data_time: 0.0305 memory: 31836 grad_norm: 5.2582 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8510 loss: 0.8510 2022/10/14 11:49:11 - mmengine - INFO - Epoch(train) [99][800/940] lr: 1.0000e-04 eta: 0:09:57 time: 0.5433 data_time: 0.0277 memory: 31836 grad_norm: 5.2447 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8372 loss: 0.8372 2022/10/14 11:49:22 - mmengine - INFO - Epoch(train) [99][820/940] lr: 1.0000e-04 eta: 0:09:46 time: 0.5429 data_time: 0.0278 memory: 31836 grad_norm: 5.1782 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8667 loss: 0.8667 2022/10/14 11:49:33 - mmengine - INFO - Epoch(train) [99][840/940] lr: 1.0000e-04 eta: 0:09:34 time: 0.5460 data_time: 0.0237 memory: 31836 grad_norm: 5.3048 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8752 loss: 0.8752 2022/10/14 11:49:44 - mmengine - INFO - Epoch(train) [99][860/940] lr: 1.0000e-04 eta: 0:09:23 time: 0.5420 data_time: 0.0254 memory: 31836 grad_norm: 5.3274 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8350 loss: 0.8350 2022/10/14 11:49:55 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:49:55 - mmengine - INFO - Epoch(train) [99][880/940] lr: 1.0000e-04 eta: 0:09:12 time: 0.5509 data_time: 0.0298 memory: 31836 grad_norm: 5.3367 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9276 loss: 0.9276 2022/10/14 11:50:06 - mmengine - INFO - Epoch(train) [99][900/940] lr: 1.0000e-04 eta: 0:09:01 time: 0.5522 data_time: 0.0334 memory: 31836 grad_norm: 5.2994 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/10/14 11:50:17 - mmengine - INFO - Epoch(train) [99][920/940] lr: 1.0000e-04 eta: 0:08:50 time: 0.5486 data_time: 0.0261 memory: 31836 grad_norm: 5.1449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8443 loss: 0.8443 2022/10/14 11:50:27 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:50:27 - mmengine - INFO - Epoch(train) [99][940/940] lr: 1.0000e-04 eta: 0:08:39 time: 0.5185 data_time: 0.0241 memory: 31836 grad_norm: 5.8436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9948 loss: 0.9948 2022/10/14 11:50:27 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/10/14 11:50:42 - mmengine - INFO - Epoch(val) [99][20/78] eta: 0:00:39 time: 0.6786 data_time: 0.5299 memory: 3561 2022/10/14 11:50:52 - mmengine - INFO - Epoch(val) [99][40/78] eta: 0:00:18 time: 0.4951 data_time: 0.3467 memory: 3561 2022/10/14 11:51:03 - mmengine - INFO - Epoch(val) [99][60/78] eta: 0:00:09 time: 0.5410 data_time: 0.3916 memory: 3561 2022/10/14 11:51:13 - mmengine - INFO - Epoch(val) [99][78/78] acc/top1: 0.6920 acc/top5: 0.8809 acc/mean1: 0.6919 2022/10/14 11:51:30 - mmengine - INFO - Epoch(train) [100][20/940] lr: 1.0000e-04 eta: 0:08:28 time: 0.8055 data_time: 0.2044 memory: 31836 grad_norm: 5.2133 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9532 loss: 0.9532 2022/10/14 11:51:41 - mmengine - INFO - Epoch(train) [100][40/940] lr: 1.0000e-04 eta: 0:08:17 time: 0.5456 data_time: 0.0248 memory: 31836 grad_norm: 5.4189 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9139 loss: 0.9139 2022/10/14 11:51:52 - mmengine - INFO - Epoch(train) [100][60/940] lr: 1.0000e-04 eta: 0:08:06 time: 0.5618 data_time: 0.0330 memory: 31836 grad_norm: 5.3386 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8690 loss: 0.8690 2022/10/14 11:52:03 - mmengine - INFO - Epoch(train) [100][80/940] lr: 1.0000e-04 eta: 0:07:55 time: 0.5482 data_time: 0.0257 memory: 31836 grad_norm: 5.0552 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8678 loss: 0.8678 2022/10/14 11:52:14 - mmengine - INFO - Epoch(train) [100][100/940] lr: 1.0000e-04 eta: 0:07:44 time: 0.5535 data_time: 0.0307 memory: 31836 grad_norm: 5.2956 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8562 loss: 0.8562 2022/10/14 11:52:25 - mmengine - INFO - Epoch(train) [100][120/940] lr: 1.0000e-04 eta: 0:07:33 time: 0.5524 data_time: 0.0297 memory: 31836 grad_norm: 5.2188 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9134 loss: 0.9134 2022/10/14 11:52:36 - mmengine - INFO - Epoch(train) [100][140/940] lr: 1.0000e-04 eta: 0:07:22 time: 0.5462 data_time: 0.0235 memory: 31836 grad_norm: 5.0919 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8601 loss: 0.8601 2022/10/14 11:52:47 - mmengine - INFO - Epoch(train) [100][160/940] lr: 1.0000e-04 eta: 0:07:11 time: 0.5504 data_time: 0.0265 memory: 31836 grad_norm: 5.3017 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9708 loss: 0.9708 2022/10/14 11:52:58 - mmengine - INFO - Epoch(train) [100][180/940] lr: 1.0000e-04 eta: 0:07:00 time: 0.5466 data_time: 0.0309 memory: 31836 grad_norm: 5.3381 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8869 loss: 0.8869 2022/10/14 11:53:09 - mmengine - INFO - Epoch(train) [100][200/940] lr: 1.0000e-04 eta: 0:06:49 time: 0.5439 data_time: 0.0258 memory: 31836 grad_norm: 5.1026 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9316 loss: 0.9316 2022/10/14 11:53:20 - mmengine - INFO - Epoch(train) [100][220/940] lr: 1.0000e-04 eta: 0:06:38 time: 0.5532 data_time: 0.0342 memory: 31836 grad_norm: 5.1076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/10/14 11:53:31 - mmengine - INFO - Epoch(train) [100][240/940] lr: 1.0000e-04 eta: 0:06:27 time: 0.5453 data_time: 0.0265 memory: 31836 grad_norm: 5.1420 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9456 loss: 0.9456 2022/10/14 11:53:41 - mmengine - INFO - Epoch(train) [100][260/940] lr: 1.0000e-04 eta: 0:06:15 time: 0.5440 data_time: 0.0287 memory: 31836 grad_norm: 5.2923 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8579 loss: 0.8579 2022/10/14 11:53:52 - mmengine - INFO - Epoch(train) [100][280/940] lr: 1.0000e-04 eta: 0:06:04 time: 0.5446 data_time: 0.0263 memory: 31836 grad_norm: 5.2613 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9573 loss: 0.9573 2022/10/14 11:54:03 - mmengine - INFO - Epoch(train) [100][300/940] lr: 1.0000e-04 eta: 0:05:53 time: 0.5488 data_time: 0.0266 memory: 31836 grad_norm: 5.3337 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/10/14 11:54:14 - mmengine - INFO - Epoch(train) [100][320/940] lr: 1.0000e-04 eta: 0:05:42 time: 0.5496 data_time: 0.0405 memory: 31836 grad_norm: 5.1479 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8313 loss: 0.8313 2022/10/14 11:54:26 - mmengine - INFO - Epoch(train) [100][340/940] lr: 1.0000e-04 eta: 0:05:31 time: 0.5589 data_time: 0.0289 memory: 31836 grad_norm: 5.2180 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9599 loss: 0.9599 2022/10/14 11:54:37 - mmengine - INFO - Epoch(train) [100][360/940] lr: 1.0000e-04 eta: 0:05:20 time: 0.5566 data_time: 0.0297 memory: 31836 grad_norm: 5.2652 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 0.8309 loss: 0.8309 2022/10/14 11:54:48 - mmengine - INFO - Epoch(train) [100][380/940] lr: 1.0000e-04 eta: 0:05:09 time: 0.5543 data_time: 0.0367 memory: 31836 grad_norm: 5.2649 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9165 loss: 0.9165 2022/10/14 11:54:59 - mmengine - INFO - Epoch(train) [100][400/940] lr: 1.0000e-04 eta: 0:04:58 time: 0.5573 data_time: 0.0286 memory: 31836 grad_norm: 5.1445 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8763 loss: 0.8763 2022/10/14 11:55:10 - mmengine - INFO - Epoch(train) [100][420/940] lr: 1.0000e-04 eta: 0:04:47 time: 0.5455 data_time: 0.0265 memory: 31836 grad_norm: 5.3163 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7688 loss: 0.7688 2022/10/14 11:55:21 - mmengine - INFO - Epoch(train) [100][440/940] lr: 1.0000e-04 eta: 0:04:36 time: 0.5569 data_time: 0.0291 memory: 31836 grad_norm: 5.3460 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9375 loss: 0.9375 2022/10/14 11:55:32 - mmengine - INFO - Epoch(train) [100][460/940] lr: 1.0000e-04 eta: 0:04:25 time: 0.5532 data_time: 0.0345 memory: 31836 grad_norm: 5.3760 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/10/14 11:55:43 - mmengine - INFO - Epoch(train) [100][480/940] lr: 1.0000e-04 eta: 0:04:14 time: 0.5478 data_time: 0.0318 memory: 31836 grad_norm: 5.0813 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8538 loss: 0.8538 2022/10/14 11:55:54 - mmengine - INFO - Epoch(train) [100][500/940] lr: 1.0000e-04 eta: 0:04:03 time: 0.5534 data_time: 0.0255 memory: 31836 grad_norm: 5.2243 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8811 loss: 0.8811 2022/10/14 11:56:05 - mmengine - INFO - Epoch(train) [100][520/940] lr: 1.0000e-04 eta: 0:03:52 time: 0.5452 data_time: 0.0297 memory: 31836 grad_norm: 5.1812 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0513 loss: 1.0513 2022/10/14 11:56:16 - mmengine - INFO - Epoch(train) [100][540/940] lr: 1.0000e-04 eta: 0:03:41 time: 0.5434 data_time: 0.0255 memory: 31836 grad_norm: 5.1936 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9390 loss: 0.9390 2022/10/14 11:56:27 - mmengine - INFO - Epoch(train) [100][560/940] lr: 1.0000e-04 eta: 0:03:30 time: 0.5537 data_time: 0.0318 memory: 31836 grad_norm: 5.1225 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8925 loss: 0.8925 2022/10/14 11:56:38 - mmengine - INFO - Epoch(train) [100][580/940] lr: 1.0000e-04 eta: 0:03:19 time: 0.5442 data_time: 0.0230 memory: 31836 grad_norm: 5.0909 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.8881 loss: 0.8881 2022/10/14 11:56:49 - mmengine - INFO - Epoch(train) [100][600/940] lr: 1.0000e-04 eta: 0:03:07 time: 0.5533 data_time: 0.0256 memory: 31836 grad_norm: 5.1286 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.8387 loss: 0.8387 2022/10/14 11:57:00 - mmengine - INFO - Epoch(train) [100][620/940] lr: 1.0000e-04 eta: 0:02:56 time: 0.5534 data_time: 0.0311 memory: 31836 grad_norm: 5.4124 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9125 loss: 0.9125 2022/10/14 11:57:11 - mmengine - INFO - Epoch(train) [100][640/940] lr: 1.0000e-04 eta: 0:02:45 time: 0.5552 data_time: 0.0374 memory: 31836 grad_norm: 5.3343 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9308 loss: 0.9308 2022/10/14 11:57:22 - mmengine - INFO - Epoch(train) [100][660/940] lr: 1.0000e-04 eta: 0:02:34 time: 0.5544 data_time: 0.0344 memory: 31836 grad_norm: 5.2944 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9844 loss: 0.9844 2022/10/14 11:57:33 - mmengine - INFO - Epoch(train) [100][680/940] lr: 1.0000e-04 eta: 0:02:23 time: 0.5546 data_time: 0.0333 memory: 31836 grad_norm: 5.1412 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8403 loss: 0.8403 2022/10/14 11:57:44 - mmengine - INFO - Epoch(train) [100][700/940] lr: 1.0000e-04 eta: 0:02:12 time: 0.5433 data_time: 0.0287 memory: 31836 grad_norm: 5.1934 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8431 loss: 0.8431 2022/10/14 11:57:55 - mmengine - INFO - Epoch(train) [100][720/940] lr: 1.0000e-04 eta: 0:02:01 time: 0.5540 data_time: 0.0363 memory: 31836 grad_norm: 5.3282 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8977 loss: 0.8977 2022/10/14 11:58:06 - mmengine - INFO - Epoch(train) [100][740/940] lr: 1.0000e-04 eta: 0:01:50 time: 0.5564 data_time: 0.0318 memory: 31836 grad_norm: 5.1952 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9293 loss: 0.9293 2022/10/14 11:58:17 - mmengine - INFO - Epoch(train) [100][760/940] lr: 1.0000e-04 eta: 0:01:39 time: 0.5475 data_time: 0.0292 memory: 31836 grad_norm: 5.2686 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9176 loss: 0.9176 2022/10/14 11:58:28 - mmengine - INFO - Epoch(train) [100][780/940] lr: 1.0000e-04 eta: 0:01:28 time: 0.5472 data_time: 0.0256 memory: 31836 grad_norm: 5.2905 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9065 loss: 0.9065 2022/10/14 11:58:39 - mmengine - INFO - Epoch(train) [100][800/940] lr: 1.0000e-04 eta: 0:01:17 time: 0.5499 data_time: 0.0301 memory: 31836 grad_norm: 5.1829 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8485 loss: 0.8485 2022/10/14 11:58:50 - mmengine - INFO - Epoch(train) [100][820/940] lr: 1.0000e-04 eta: 0:01:06 time: 0.5510 data_time: 0.0297 memory: 31836 grad_norm: 5.2937 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9054 loss: 0.9054 2022/10/14 11:59:01 - mmengine - INFO - Epoch(train) [100][840/940] lr: 1.0000e-04 eta: 0:00:55 time: 0.5446 data_time: 0.0247 memory: 31836 grad_norm: 5.2279 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8410 loss: 0.8410 2022/10/14 11:59:12 - mmengine - INFO - Epoch(train) [100][860/940] lr: 1.0000e-04 eta: 0:00:44 time: 0.5482 data_time: 0.0311 memory: 31836 grad_norm: 5.2896 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8896 loss: 0.8896 2022/10/14 11:59:23 - mmengine - INFO - Epoch(train) [100][880/940] lr: 1.0000e-04 eta: 0:00:33 time: 0.5570 data_time: 0.0267 memory: 31836 grad_norm: 5.2246 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9109 loss: 0.9109 2022/10/14 11:59:34 - mmengine - INFO - Epoch(train) [100][900/940] lr: 1.0000e-04 eta: 0:00:22 time: 0.5504 data_time: 0.0271 memory: 31836 grad_norm: 5.2193 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7670 loss: 0.7670 2022/10/14 11:59:45 - mmengine - INFO - Epoch(train) [100][920/940] lr: 1.0000e-04 eta: 0:00:11 time: 0.5560 data_time: 0.0261 memory: 31836 grad_norm: 5.2724 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9034 loss: 0.9034 2022/10/14 11:59:56 - mmengine - INFO - Exp name: c2d_r101-nopool-in1k-pre_8xb32-8x8x1-100e_kinetics400-rgb_20221013_201906 2022/10/14 11:59:56 - mmengine - INFO - Epoch(train) [100][940/940] lr: 1.0000e-04 eta: 0:00:00 time: 0.5160 data_time: 0.0238 memory: 31836 grad_norm: 5.5753 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8460 loss: 0.8460 2022/10/14 11:59:56 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/10/14 12:00:10 - mmengine - INFO - Epoch(val) [100][20/78] eta: 0:00:38 time: 0.6575 data_time: 0.5088 memory: 3561 2022/10/14 12:00:19 - mmengine - INFO - Epoch(val) [100][40/78] eta: 0:00:16 time: 0.4341 data_time: 0.2875 memory: 3561 2022/10/14 12:00:30 - mmengine - INFO - Epoch(val) [100][60/78] eta: 0:00:10 time: 0.5795 data_time: 0.4321 memory: 3561 2022/10/14 12:00:40 - mmengine - INFO - Epoch(val) [100][78/78] acc/top1: 0.6933 acc/top5: 0.8798 acc/mean1: 0.6932