2023/07/02 13:02:26 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.9.0 (default, Nov 15 2020, 14:28:56) [GCC 7.3.0] CUDA available: True numpy_random_seed: 1716526064 GPU 0,1,2,3,4,5,6,7: NVIDIA GeForce RTX 3090 CUDA_HOME: /usr/local/cuda-11.3 NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 PyTorch: 1.12.1+cu113 PyTorch compiling details: PyTorch built with: - GCC 9.3 - 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 v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - 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 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -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-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.1+cu102 OpenCV: 4.7.0 MMEngine: 0.7.3 Runtime environment: cudnn_benchmark: False mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None diff_rank_seed: False deterministic: False Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2023/07/02 13:02:26 - mmengine - INFO - Config: default_scope = 'mmaction' default_hooks = dict( runtime_info=dict(type='RuntimeInfoHook'), timer=dict(type='IterTimerHook'), logger=dict(type='LoggerHook', interval=20, ignore_last=False), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=5, save_best='auto', max_keep_ckpts=3), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffers=dict(type='SyncBuffersHook')) env_cfg = dict( cudnn_benchmark=False, mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0), dist_cfg=dict(backend='nccl')) log_processor = dict(type='LogProcessor', window_size=20, by_epoch=True) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='ActionVisualizer', vis_backends=[dict(type='LocalVisBackend')]) log_level = 'INFO' load_from = None resume = False model = dict( type='RecognizerAudio', backbone=dict(type='ResNet', depth=18, in_channels=1, norm_eval=False), cls_head=dict( type='TSNAudioHead', num_classes=400, in_channels=512, dropout_ratio=0.5, init_std=0.01, average_clips='prob')) dataset_type = 'AudioDataset' data_root = 'data/kinetics400' ann_file_train = 'kinetics400_train_list_audio_features.txt' ann_file_val = 'kinetics400_val_list_audio_features.txt' ann_file_test = 'kinetics400_val_list_audio_features.txt' train_pipeline = [ dict(type='LoadAudioFeature'), dict(type='SampleFrames', clip_len=64, frame_interval=1, num_clips=1), dict(type='AudioFeatureSelector'), dict(type='FormatAudioShape', input_format='NCTF'), dict(type='PackActionInputs') ] val_pipeline = [ dict(type='LoadAudioFeature'), dict( type='SampleFrames', clip_len=64, frame_interval=1, num_clips=1, test_mode=True), dict(type='AudioFeatureSelector'), dict(type='FormatAudioShape', input_format='NCTF'), dict(type='PackActionInputs') ] test_pipeline = [ dict(type='LoadAudioFeature'), dict( type='SampleFrames', clip_len=64, frame_interval=1, num_clips=1, test_mode=True), dict(type='AudioFeatureSelector'), dict(type='FormatAudioShape', input_format='NCTF'), dict(type='PackActionInputs') ] train_dataloader = dict( batch_size=320, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='AudioDataset', ann_file='kinetics400_train_list_audio_features.txt', pipeline=[ dict(type='LoadAudioFeature'), dict( type='SampleFrames', clip_len=64, frame_interval=1, num_clips=1), dict(type='AudioFeatureSelector'), dict(type='FormatAudioShape', input_format='NCTF'), dict(type='PackActionInputs') ], data_root='data/kinetics400', data_prefix=dict(audio='audio_features_train'))) val_dataloader = dict( batch_size=320, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='AudioDataset', ann_file='kinetics400_val_list_audio_features.txt', pipeline=[ dict(type='LoadAudioFeature'), dict( type='SampleFrames', clip_len=64, frame_interval=1, num_clips=1, test_mode=True), dict(type='AudioFeatureSelector'), dict(type='FormatAudioShape', input_format='NCTF'), dict(type='PackActionInputs') ], data_root='data/kinetics400', data_prefix=dict(audio='audio_features_val'), test_mode=True)) test_dataloader = dict( batch_size=1, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='AudioDataset', ann_file='kinetics400_val_list_audio_features.txt', pipeline=[ dict(type='LoadAudioFeature'), dict( type='SampleFrames', clip_len=64, frame_interval=1, num_clips=1, test_mode=True), dict(type='AudioFeatureSelector'), dict(type='FormatAudioShape', input_format='NCTF'), dict(type='PackActionInputs') ], data_root='data/kinetics400', data_prefix=dict(audio='audio_features_val'), test_mode=True)) val_evaluator = dict(type='AccMetric') test_evaluator = dict(type='AccMetric') train_cfg = dict( type='EpochBasedTrainLoop', max_epochs=100, val_begin=1, val_interval=5) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict(type='CosineAnnealingLR', eta_min=0, T_max=100, by_epoch=True) ] optim_wrapper = dict( optimizer=dict(type='SGD', lr=0.2, momentum=0.9, weight_decay=0.0001), clip_grad=dict(max_norm=40, norm_type=2)) launcher = 'pytorch' work_dir = './work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature' randomness = dict(seed=None, diff_rank_seed=False, deterministic=False) 2023/07/02 13:02:28 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train: (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- Name of parameter - Initialization information backbone.conv1.conv.weight - torch.Size([64, 1, 7, 7]): Initialized by user-defined `init_weights` in ConvModule backbone.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.0.conv1.conv.weight - torch.Size([64, 64, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer1.0.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.0.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.0.conv2.conv.weight - torch.Size([64, 64, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer1.0.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.0.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.1.conv1.conv.weight - torch.Size([64, 64, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer1.1.conv1.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.1.conv1.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.1.conv2.conv.weight - torch.Size([64, 64, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer1.1.conv2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer1.1.conv2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.0.conv1.conv.weight - torch.Size([128, 64, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer2.0.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.0.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.0.conv2.conv.weight - torch.Size([128, 128, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer2.0.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.0.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.0.downsample.conv.weight - torch.Size([128, 64, 1, 1]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer2.0.downsample.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.0.downsample.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.1.conv1.conv.weight - torch.Size([128, 128, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer2.1.conv1.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.1.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.1.conv2.conv.weight - torch.Size([128, 128, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer2.1.conv2.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer2.1.conv2.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.0.conv1.conv.weight - torch.Size([256, 128, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer3.0.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.0.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.0.conv2.conv.weight - torch.Size([256, 256, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer3.0.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.0.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.0.downsample.conv.weight - torch.Size([256, 128, 1, 1]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer3.0.downsample.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.0.downsample.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.1.conv1.conv.weight - torch.Size([256, 256, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer3.1.conv1.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.1.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.1.conv2.conv.weight - torch.Size([256, 256, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer3.1.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer3.1.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.0.conv1.conv.weight - torch.Size([512, 256, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer4.0.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.0.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.0.conv2.conv.weight - torch.Size([512, 512, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer4.0.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.0.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.0.downsample.conv.weight - torch.Size([512, 256, 1, 1]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer4.0.downsample.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.0.downsample.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.1.conv1.conv.weight - torch.Size([512, 512, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer4.1.conv1.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.1.conv1.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.1.conv2.conv.weight - torch.Size([512, 512, 3, 3]): KaimingInit: a=0, mode=fan_out, nonlinearity=relu, distribution =normal, bias=0 backbone.layer4.1.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio backbone.layer4.1.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of RecognizerAudio cls_head.fc_cls.weight - torch.Size([400, 512]): Initialized by user-defined `init_weights` in TSNAudioHead cls_head.fc_cls.bias - torch.Size([400]): Initialized by user-defined `init_weights` in TSNAudioHead 2023/07/02 13:02:31 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2023/07/02 13:02:31 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2023/07/02 13:02:31 - mmengine - INFO - Checkpoints will be saved to /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature. 2023/07/02 13:02:47 - mmengine - INFO - Epoch(train) [1][20/94] lr: 2.0000e-01 eta: 2:06:45 time: 0.8108 data_time: 0.2911 memory: 1587 grad_norm: 0.8182 loss: 5.9489 top1_acc: 0.0094 top5_acc: 0.0406 loss_cls: 5.9489 2023/07/02 13:02:57 - mmengine - INFO - Epoch(train) [1][40/94] lr: 2.0000e-01 eta: 1:43:40 time: 0.5184 data_time: 0.2132 memory: 1587 grad_norm: 0.7698 loss: 5.7363 top1_acc: 0.0094 top5_acc: 0.0656 loss_cls: 5.7363 2023/07/02 13:03:07 - mmengine - INFO - Epoch(train) [1][60/94] lr: 2.0000e-01 eta: 1:35:03 time: 0.5028 data_time: 0.2126 memory: 1587 grad_norm: 0.7190 loss: 5.5997 top1_acc: 0.0156 top5_acc: 0.0906 loss_cls: 5.5997 2023/07/02 13:03:17 - mmengine - INFO - Epoch(train) [1][80/94] lr: 2.0000e-01 eta: 1:30:35 time: 0.5008 data_time: 0.2103 memory: 1587 grad_norm: 0.7654 loss: 5.5323 top1_acc: 0.0281 top5_acc: 0.1031 loss_cls: 5.5323 2023/07/02 13:03:24 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:03:24 - mmengine - INFO - Epoch(train) [1][94/94] lr: 2.0000e-01 eta: 1:27:44 time: 0.4566 data_time: 0.1765 memory: 1587 grad_norm: 0.7587 loss: 5.4579 top1_acc: 0.0455 top5_acc: 0.1818 loss_cls: 5.4579 2023/07/02 13:03:35 - mmengine - INFO - Epoch(train) [2][20/94] lr: 1.9995e-01 eta: 1:27:24 time: 0.5602 data_time: 0.2409 memory: 1587 grad_norm: 0.8209 loss: 5.4082 top1_acc: 0.0375 top5_acc: 0.1375 loss_cls: 5.4082 2023/07/02 13:03:45 - mmengine - INFO - Epoch(train) [2][40/94] lr: 1.9995e-01 eta: 1:26:18 time: 0.5254 data_time: 0.1999 memory: 1587 grad_norm: 0.7458 loss: 5.3350 top1_acc: 0.0563 top5_acc: 0.1531 loss_cls: 5.3350 2023/07/02 13:03:56 - mmengine - INFO - Epoch(train) [2][60/94] lr: 1.9995e-01 eta: 1:25:32 time: 0.5296 data_time: 0.2103 memory: 1587 grad_norm: 0.8583 loss: 5.2941 top1_acc: 0.0594 top5_acc: 0.1281 loss_cls: 5.2941 2023/07/02 13:04:06 - mmengine - INFO - Epoch(train) [2][80/94] lr: 1.9995e-01 eta: 1:24:37 time: 0.5140 data_time: 0.2057 memory: 1587 grad_norm: 0.7713 loss: 5.2213 top1_acc: 0.0719 top5_acc: 0.1844 loss_cls: 5.2213 2023/07/02 13:04:13 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:04:13 - mmengine - INFO - Epoch(train) [2][94/94] lr: 1.9995e-01 eta: 1:23:20 time: 0.4556 data_time: 0.1762 memory: 1587 grad_norm: 0.8177 loss: 5.1885 top1_acc: 0.0455 top5_acc: 0.0909 loss_cls: 5.1885 2023/07/02 13:04:25 - mmengine - INFO - Epoch(train) [3][20/94] lr: 1.9980e-01 eta: 1:24:00 time: 0.6007 data_time: 0.2357 memory: 1587 grad_norm: 0.7957 loss: 5.1548 top1_acc: 0.0656 top5_acc: 0.1844 loss_cls: 5.1548 2023/07/02 13:04:36 - mmengine - INFO - Epoch(train) [3][40/94] lr: 1.9980e-01 eta: 1:24:01 time: 0.5631 data_time: 0.2004 memory: 1587 grad_norm: 0.8001 loss: 5.1227 top1_acc: 0.0656 top5_acc: 0.1688 loss_cls: 5.1227 2023/07/02 13:04:47 - mmengine - INFO - Epoch(train) [3][60/94] lr: 1.9980e-01 eta: 1:24:05 time: 0.5705 data_time: 0.2042 memory: 1587 grad_norm: 0.8235 loss: 5.1068 top1_acc: 0.0750 top5_acc: 0.1719 loss_cls: 5.1068 2023/07/02 13:04:59 - mmengine - INFO - Epoch(train) [3][80/94] lr: 1.9980e-01 eta: 1:24:14 time: 0.5798 data_time: 0.2178 memory: 1587 grad_norm: 0.7789 loss: 5.0806 top1_acc: 0.0906 top5_acc: 0.2031 loss_cls: 5.0806 2023/07/02 13:05:06 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:05:06 - mmengine - INFO - Epoch(train) [3][94/94] lr: 1.9980e-01 eta: 1:23:33 time: 0.4886 data_time: 0.1880 memory: 1587 grad_norm: 0.8398 loss: 5.0539 top1_acc: 0.0682 top5_acc: 0.1136 loss_cls: 5.0539 2023/07/02 13:05:18 - mmengine - INFO - Epoch(train) [4][20/94] lr: 1.9956e-01 eta: 1:23:55 time: 0.6049 data_time: 0.2266 memory: 1587 grad_norm: 0.8017 loss: 4.9992 top1_acc: 0.0656 top5_acc: 0.1781 loss_cls: 4.9992 2023/07/02 13:05:29 - mmengine - INFO - Epoch(train) [4][40/94] lr: 1.9956e-01 eta: 1:23:51 time: 0.5649 data_time: 0.1985 memory: 1587 grad_norm: 0.7636 loss: 4.9947 top1_acc: 0.0719 top5_acc: 0.1750 loss_cls: 4.9947 2023/07/02 13:05:41 - mmengine - INFO - Epoch(train) [4][60/94] lr: 1.9956e-01 eta: 1:23:55 time: 0.5830 data_time: 0.2100 memory: 1587 grad_norm: 0.8278 loss: 4.9616 top1_acc: 0.0844 top5_acc: 0.2281 loss_cls: 4.9616 2023/07/02 13:05:52 - mmengine - INFO - Epoch(train) [4][80/94] lr: 1.9956e-01 eta: 1:23:58 time: 0.5843 data_time: 0.2189 memory: 1587 grad_norm: 0.7918 loss: 4.9621 top1_acc: 0.0781 top5_acc: 0.2031 loss_cls: 4.9621 2023/07/02 13:05:59 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:05:59 - mmengine - INFO - Epoch(train) [4][94/94] lr: 1.9956e-01 eta: 1:23:26 time: 0.4865 data_time: 0.1696 memory: 1587 grad_norm: 0.8619 loss: 4.9669 top1_acc: 0.0227 top5_acc: 0.2045 loss_cls: 4.9669 2023/07/02 13:06:09 - mmengine - INFO - Epoch(train) [5][20/94] lr: 1.9921e-01 eta: 1:22:50 time: 0.4986 data_time: 0.2301 memory: 1587 grad_norm: 0.7866 loss: 4.9646 top1_acc: 0.0750 top5_acc: 0.1906 loss_cls: 4.9646 2023/07/02 13:06:19 - mmengine - INFO - Epoch(train) [5][40/94] lr: 1.9921e-01 eta: 1:22:08 time: 0.4810 data_time: 0.2063 memory: 1587 grad_norm: 0.7741 loss: 4.8850 top1_acc: 0.0813 top5_acc: 0.2094 loss_cls: 4.8850 2023/07/02 13:06:29 - mmengine - INFO - Epoch(train) [5][60/94] lr: 1.9921e-01 eta: 1:21:36 time: 0.4970 data_time: 0.2083 memory: 1587 grad_norm: 0.7915 loss: 4.9210 top1_acc: 0.1125 top5_acc: 0.2156 loss_cls: 4.9210 2023/07/02 13:06:39 - mmengine - INFO - Epoch(train) [5][80/94] lr: 1.9921e-01 eta: 1:21:12 time: 0.5138 data_time: 0.2098 memory: 1587 grad_norm: 0.7381 loss: 4.9046 top1_acc: 0.0813 top5_acc: 0.2156 loss_cls: 4.9046 2023/07/02 13:06:45 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:06:45 - mmengine - INFO - Epoch(train) [5][94/94] lr: 1.9921e-01 eta: 1:20:30 time: 0.4449 data_time: 0.1825 memory: 1587 grad_norm: 0.7892 loss: 4.8484 top1_acc: 0.0682 top5_acc: 0.2045 loss_cls: 4.8484 2023/07/02 13:06:45 - mmengine - INFO - Saving checkpoint at 5 epochs 2023/07/02 13:06:53 - mmengine - INFO - Epoch(val) [5][8/8] acc/top1: 0.0371 acc/top5: 0.1105 acc/mean1: 0.0370 data_time: 0.5398 time: 0.6153 2023/07/02 13:06:54 - mmengine - INFO - The best checkpoint with 0.0371 acc/top1 at 5 epoch is saved to best_acc_top1_epoch_5.pth. 2023/07/02 13:07:06 - mmengine - INFO - Epoch(train) [6][20/94] lr: 1.9877e-01 eta: 1:20:29 time: 0.5659 data_time: 0.2269 memory: 1587 grad_norm: 0.7852 loss: 4.8845 top1_acc: 0.0781 top5_acc: 0.1906 loss_cls: 4.8845 2023/07/02 13:07:17 - mmengine - INFO - Epoch(train) [6][40/94] lr: 1.9877e-01 eta: 1:20:28 time: 0.5699 data_time: 0.2026 memory: 1587 grad_norm: 0.7149 loss: 4.8280 top1_acc: 0.0875 top5_acc: 0.2125 loss_cls: 4.8280 2023/07/02 13:07:29 - mmengine - INFO - Epoch(train) [6][60/94] lr: 1.9877e-01 eta: 1:20:25 time: 0.5673 data_time: 0.1945 memory: 1587 grad_norm: 0.7576 loss: 4.8014 top1_acc: 0.0906 top5_acc: 0.2313 loss_cls: 4.8014 2023/07/02 13:07:40 - mmengine - INFO - Epoch(train) [6][80/94] lr: 1.9877e-01 eta: 1:20:25 time: 0.5797 data_time: 0.2018 memory: 1587 grad_norm: 0.7503 loss: 4.7500 top1_acc: 0.0781 top5_acc: 0.2188 loss_cls: 4.7500 2023/07/02 13:07:47 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:07:47 - mmengine - INFO - Epoch(train) [6][94/94] lr: 1.9877e-01 eta: 1:20:05 time: 0.4774 data_time: 0.1787 memory: 1587 grad_norm: 0.8052 loss: 4.8237 top1_acc: 0.1136 top5_acc: 0.2273 loss_cls: 4.8237 2023/07/02 13:07:59 - mmengine - INFO - Epoch(train) [7][20/94] lr: 1.9823e-01 eta: 1:20:13 time: 0.6071 data_time: 0.2236 memory: 1587 grad_norm: 0.7608 loss: 4.7736 top1_acc: 0.0781 top5_acc: 0.2313 loss_cls: 4.7736 2023/07/02 13:08:10 - mmengine - INFO - Epoch(train) [7][40/94] lr: 1.9823e-01 eta: 1:20:08 time: 0.5671 data_time: 0.2052 memory: 1587 grad_norm: 0.6966 loss: 4.7651 top1_acc: 0.1187 top5_acc: 0.2750 loss_cls: 4.7651 2023/07/02 13:08:22 - mmengine - INFO - Epoch(train) [7][60/94] lr: 1.9823e-01 eta: 1:20:10 time: 0.5914 data_time: 0.2123 memory: 1587 grad_norm: 0.7822 loss: 4.7344 top1_acc: 0.1125 top5_acc: 0.2750 loss_cls: 4.7344 2023/07/02 13:08:34 - mmengine - INFO - Epoch(train) [7][80/94] lr: 1.9823e-01 eta: 1:20:07 time: 0.5774 data_time: 0.2147 memory: 1587 grad_norm: 0.7771 loss: 4.7561 top1_acc: 0.0938 top5_acc: 0.2156 loss_cls: 4.7561 2023/07/02 13:08:41 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:08:41 - mmengine - INFO - Epoch(train) [7][94/94] lr: 1.9823e-01 eta: 1:19:49 time: 0.4968 data_time: 0.1721 memory: 1587 grad_norm: 0.7621 loss: 4.7901 top1_acc: 0.0227 top5_acc: 0.0909 loss_cls: 4.7901 2023/07/02 13:08:52 - mmengine - INFO - Epoch(train) [8][20/94] lr: 1.9759e-01 eta: 1:19:40 time: 0.5558 data_time: 0.2270 memory: 1587 grad_norm: 0.7936 loss: 4.7416 top1_acc: 0.1187 top5_acc: 0.2844 loss_cls: 4.7416 2023/07/02 13:09:03 - mmengine - INFO - Epoch(train) [8][40/94] lr: 1.9759e-01 eta: 1:19:28 time: 0.5455 data_time: 0.2220 memory: 1587 grad_norm: 0.7323 loss: 4.7368 top1_acc: 0.1125 top5_acc: 0.2531 loss_cls: 4.7368 2023/07/02 13:09:14 - mmengine - INFO - Epoch(train) [8][60/94] lr: 1.9759e-01 eta: 1:19:16 time: 0.5424 data_time: 0.2063 memory: 1587 grad_norm: 0.7549 loss: 4.7082 top1_acc: 0.1469 top5_acc: 0.3156 loss_cls: 4.7082 2023/07/02 13:09:24 - mmengine - INFO - Epoch(train) [8][80/94] lr: 1.9759e-01 eta: 1:19:03 time: 0.5408 data_time: 0.2078 memory: 1587 grad_norm: 0.7137 loss: 4.7243 top1_acc: 0.1344 top5_acc: 0.2594 loss_cls: 4.7243 2023/07/02 13:09:31 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:09:31 - mmengine - INFO - Epoch(train) [8][94/94] lr: 1.9759e-01 eta: 1:18:38 time: 0.4390 data_time: 0.1760 memory: 1587 grad_norm: 0.7845 loss: 4.6882 top1_acc: 0.0909 top5_acc: 0.2727 loss_cls: 4.6882 2023/07/02 13:09:42 - mmengine - INFO - Epoch(train) [9][20/94] lr: 1.9686e-01 eta: 1:18:37 time: 0.5890 data_time: 0.2271 memory: 1587 grad_norm: 0.7608 loss: 4.6928 top1_acc: 0.1406 top5_acc: 0.3156 loss_cls: 4.6928 2023/07/02 13:09:54 - mmengine - INFO - Epoch(train) [9][40/94] lr: 1.9686e-01 eta: 1:18:32 time: 0.5755 data_time: 0.2098 memory: 1587 grad_norm: 0.7478 loss: 4.6540 top1_acc: 0.1281 top5_acc: 0.2750 loss_cls: 4.6540 2023/07/02 13:10:06 - mmengine - INFO - Epoch(train) [9][60/94] lr: 1.9686e-01 eta: 1:18:29 time: 0.5839 data_time: 0.2092 memory: 1587 grad_norm: 0.7397 loss: 4.6689 top1_acc: 0.1031 top5_acc: 0.2625 loss_cls: 4.6689 2023/07/02 13:10:17 - mmengine - INFO - Epoch(train) [9][80/94] lr: 1.9686e-01 eta: 1:18:27 time: 0.5929 data_time: 0.2040 memory: 1587 grad_norm: 0.7705 loss: 4.6626 top1_acc: 0.1094 top5_acc: 0.2531 loss_cls: 4.6626 2023/07/02 13:10:24 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:10:24 - mmengine - INFO - Epoch(train) [9][94/94] lr: 1.9686e-01 eta: 1:18:09 time: 0.4842 data_time: 0.1681 memory: 1587 grad_norm: 0.8186 loss: 4.6753 top1_acc: 0.0909 top5_acc: 0.1818 loss_cls: 4.6753 2023/07/02 13:10:35 - mmengine - INFO - Epoch(train) [10][20/94] lr: 1.9603e-01 eta: 1:17:58 time: 0.5460 data_time: 0.2377 memory: 1587 grad_norm: 0.7634 loss: 4.6218 top1_acc: 0.1469 top5_acc: 0.3187 loss_cls: 4.6218 2023/07/02 13:10:45 - mmengine - INFO - Epoch(train) [10][40/94] lr: 1.9603e-01 eta: 1:17:41 time: 0.5196 data_time: 0.2046 memory: 1587 grad_norm: 0.7585 loss: 4.6188 top1_acc: 0.1156 top5_acc: 0.2750 loss_cls: 4.6188 2023/07/02 13:10:56 - mmengine - INFO - Epoch(train) [10][60/94] lr: 1.9603e-01 eta: 1:17:26 time: 0.5267 data_time: 0.2076 memory: 1587 grad_norm: 0.7344 loss: 4.6524 top1_acc: 0.1000 top5_acc: 0.2281 loss_cls: 4.6524 2023/07/02 13:11:06 - mmengine - INFO - Epoch(train) [10][80/94] lr: 1.9603e-01 eta: 1:17:11 time: 0.5236 data_time: 0.2180 memory: 1587 grad_norm: 0.7520 loss: 4.6620 top1_acc: 0.1094 top5_acc: 0.2344 loss_cls: 4.6620 2023/07/02 13:11:13 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:11:13 - mmengine - INFO - Epoch(train) [10][94/94] lr: 1.9603e-01 eta: 1:16:50 time: 0.4480 data_time: 0.1897 memory: 1587 grad_norm: 0.7884 loss: 4.6336 top1_acc: 0.1364 top5_acc: 0.2727 loss_cls: 4.6336 2023/07/02 13:11:13 - mmengine - INFO - Saving checkpoint at 10 epochs 2023/07/02 13:11:18 - mmengine - INFO - Epoch(val) [10][8/8] acc/top1: 0.0742 acc/top5: 0.1868 acc/mean1: 0.0740 data_time: 0.2133 time: 0.2923 2023/07/02 13:11:18 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_5.pth is removed 2023/07/02 13:11:19 - mmengine - INFO - The best checkpoint with 0.0742 acc/top1 at 10 epoch is saved to best_acc_top1_epoch_10.pth. 2023/07/02 13:11:29 - mmengine - INFO - Epoch(train) [11][20/94] lr: 1.9511e-01 eta: 1:16:29 time: 0.4871 data_time: 0.2350 memory: 1587 grad_norm: 0.7628 loss: 4.6098 top1_acc: 0.1437 top5_acc: 0.3000 loss_cls: 4.6098 2023/07/02 13:11:39 - mmengine - INFO - Epoch(train) [11][40/94] lr: 1.9511e-01 eta: 1:16:08 time: 0.4842 data_time: 0.2051 memory: 1587 grad_norm: 0.7302 loss: 4.5509 top1_acc: 0.1219 top5_acc: 0.3031 loss_cls: 4.5509 2023/07/02 13:11:49 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:11:49 - mmengine - INFO - Epoch(train) [11][60/94] lr: 1.9511e-01 eta: 1:15:49 time: 0.4951 data_time: 0.2112 memory: 1587 grad_norm: 0.7475 loss: 4.6295 top1_acc: 0.0906 top5_acc: 0.2094 loss_cls: 4.6295 2023/07/02 13:11:58 - mmengine - INFO - Epoch(train) [11][80/94] lr: 1.9511e-01 eta: 1:15:28 time: 0.4785 data_time: 0.2055 memory: 1587 grad_norm: 0.7704 loss: 4.6004 top1_acc: 0.1219 top5_acc: 0.2656 loss_cls: 4.6004 2023/07/02 13:12:04 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:12:04 - mmengine - INFO - Epoch(train) [11][94/94] lr: 1.9511e-01 eta: 1:15:04 time: 0.3925 data_time: 0.1588 memory: 1587 grad_norm: 0.8077 loss: 4.5774 top1_acc: 0.1364 top5_acc: 0.3182 loss_cls: 4.5774 2023/07/02 13:12:15 - mmengine - INFO - Epoch(train) [12][20/94] lr: 1.9409e-01 eta: 1:14:58 time: 0.5715 data_time: 0.2414 memory: 1587 grad_norm: 0.7863 loss: 4.5731 top1_acc: 0.1313 top5_acc: 0.2687 loss_cls: 4.5731 2023/07/02 13:12:26 - mmengine - INFO - Epoch(train) [12][40/94] lr: 1.9409e-01 eta: 1:14:48 time: 0.5416 data_time: 0.2097 memory: 1587 grad_norm: 0.7440 loss: 4.5641 top1_acc: 0.1375 top5_acc: 0.2969 loss_cls: 4.5641 2023/07/02 13:12:37 - mmengine - INFO - Epoch(train) [12][60/94] lr: 1.9409e-01 eta: 1:14:40 time: 0.5593 data_time: 0.2091 memory: 1587 grad_norm: 0.7333 loss: 4.5568 top1_acc: 0.1594 top5_acc: 0.2906 loss_cls: 4.5568 2023/07/02 13:12:48 - mmengine - INFO - Epoch(train) [12][80/94] lr: 1.9409e-01 eta: 1:14:29 time: 0.5372 data_time: 0.2068 memory: 1587 grad_norm: 0.7474 loss: 4.5612 top1_acc: 0.1187 top5_acc: 0.2969 loss_cls: 4.5612 2023/07/02 13:12:54 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:12:54 - mmengine - INFO - Epoch(train) [12][94/94] lr: 1.9409e-01 eta: 1:14:13 time: 0.4539 data_time: 0.1613 memory: 1587 grad_norm: 0.7931 loss: 4.5190 top1_acc: 0.2955 top5_acc: 0.5000 loss_cls: 4.5190 2023/07/02 13:13:08 - mmengine - INFO - Epoch(train) [13][20/94] lr: 1.9298e-01 eta: 1:14:22 time: 0.6766 data_time: 0.2313 memory: 1587 grad_norm: 0.7819 loss: 4.5125 top1_acc: 0.1094 top5_acc: 0.2750 loss_cls: 4.5125 2023/07/02 13:13:20 - mmengine - INFO - Epoch(train) [13][40/94] lr: 1.9298e-01 eta: 1:14:23 time: 0.6290 data_time: 0.2071 memory: 1587 grad_norm: 0.7519 loss: 4.5389 top1_acc: 0.1625 top5_acc: 0.3000 loss_cls: 4.5389 2023/07/02 13:13:33 - mmengine - INFO - Epoch(train) [13][60/94] lr: 1.9298e-01 eta: 1:14:25 time: 0.6336 data_time: 0.1981 memory: 1587 grad_norm: 0.7549 loss: 4.5487 top1_acc: 0.1500 top5_acc: 0.3344 loss_cls: 4.5487 2023/07/02 13:13:46 - mmengine - INFO - Epoch(train) [13][80/94] lr: 1.9298e-01 eta: 1:14:28 time: 0.6454 data_time: 0.2186 memory: 1587 grad_norm: 0.7445 loss: 4.5333 top1_acc: 0.1344 top5_acc: 0.3125 loss_cls: 4.5333 2023/07/02 13:13:53 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:13:53 - mmengine - INFO - Epoch(train) [13][94/94] lr: 1.9298e-01 eta: 1:14:19 time: 0.5517 data_time: 0.1901 memory: 1587 grad_norm: 0.8138 loss: 4.4739 top1_acc: 0.1591 top5_acc: 0.3864 loss_cls: 4.4739 2023/07/02 13:14:06 - mmengine - INFO - Epoch(train) [14][20/94] lr: 1.9178e-01 eta: 1:14:22 time: 0.6471 data_time: 0.2384 memory: 1587 grad_norm: 0.8295 loss: 4.5190 top1_acc: 0.1437 top5_acc: 0.2938 loss_cls: 4.5190 2023/07/02 13:14:19 - mmengine - INFO - Epoch(train) [14][40/94] lr: 1.9178e-01 eta: 1:14:21 time: 0.6270 data_time: 0.2004 memory: 1587 grad_norm: 0.7712 loss: 4.5203 top1_acc: 0.1500 top5_acc: 0.2969 loss_cls: 4.5203 2023/07/02 13:14:32 - mmengine - INFO - Epoch(train) [14][60/94] lr: 1.9178e-01 eta: 1:14:21 time: 0.6297 data_time: 0.2065 memory: 1587 grad_norm: 0.7779 loss: 4.5215 top1_acc: 0.1062 top5_acc: 0.2812 loss_cls: 4.5215 2023/07/02 13:14:44 - mmengine - INFO - Epoch(train) [14][80/94] lr: 1.9178e-01 eta: 1:14:21 time: 0.6415 data_time: 0.2076 memory: 1587 grad_norm: 0.7689 loss: 4.5333 top1_acc: 0.1344 top5_acc: 0.2875 loss_cls: 4.5333 2023/07/02 13:14:52 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:14:52 - mmengine - INFO - Epoch(train) [14][94/94] lr: 1.9178e-01 eta: 1:14:12 time: 0.5500 data_time: 0.1680 memory: 1587 grad_norm: 0.7853 loss: 4.5023 top1_acc: 0.1364 top5_acc: 0.2273 loss_cls: 4.5023 2023/07/02 13:15:04 - mmengine - INFO - Epoch(train) [15][20/94] lr: 1.9048e-01 eta: 1:14:06 time: 0.5983 data_time: 0.2309 memory: 1587 grad_norm: 0.8072 loss: 4.4899 top1_acc: 0.1469 top5_acc: 0.3344 loss_cls: 4.4899 2023/07/02 13:15:16 - mmengine - INFO - Epoch(train) [15][40/94] lr: 1.9048e-01 eta: 1:14:00 time: 0.5884 data_time: 0.2088 memory: 1587 grad_norm: 0.7586 loss: 4.4878 top1_acc: 0.1406 top5_acc: 0.2687 loss_cls: 4.4878 2023/07/02 13:15:27 - mmengine - INFO - Epoch(train) [15][60/94] lr: 1.9048e-01 eta: 1:13:53 time: 0.5875 data_time: 0.2087 memory: 1587 grad_norm: 0.7762 loss: 4.4539 top1_acc: 0.1406 top5_acc: 0.2969 loss_cls: 4.4539 2023/07/02 13:15:39 - mmengine - INFO - Epoch(train) [15][80/94] lr: 1.9048e-01 eta: 1:13:43 time: 0.5600 data_time: 0.1995 memory: 1587 grad_norm: 0.7542 loss: 4.4911 top1_acc: 0.1219 top5_acc: 0.3281 loss_cls: 4.4911 2023/07/02 13:15:45 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:15:45 - mmengine - INFO - Epoch(train) [15][94/94] lr: 1.9048e-01 eta: 1:13:30 time: 0.4868 data_time: 0.1701 memory: 1587 grad_norm: 0.7963 loss: 4.4483 top1_acc: 0.1136 top5_acc: 0.2727 loss_cls: 4.4483 2023/07/02 13:15:45 - mmengine - INFO - Saving checkpoint at 15 epochs 2023/07/02 13:15:51 - mmengine - INFO - Epoch(val) [15][8/8] acc/top1: 0.0530 acc/top5: 0.1341 acc/mean1: 0.0528 data_time: 0.2140 time: 0.2867 2023/07/02 13:16:03 - mmengine - INFO - Epoch(train) [16][20/94] lr: 1.8910e-01 eta: 1:13:23 time: 0.5913 data_time: 0.2268 memory: 1587 grad_norm: 0.7827 loss: 4.4041 top1_acc: 0.1469 top5_acc: 0.3094 loss_cls: 4.4041 2023/07/02 13:16:14 - mmengine - INFO - Epoch(train) [16][40/94] lr: 1.8910e-01 eta: 1:13:14 time: 0.5700 data_time: 0.2047 memory: 1587 grad_norm: 0.7850 loss: 4.4321 top1_acc: 0.1219 top5_acc: 0.2938 loss_cls: 4.4321 2023/07/02 13:16:26 - mmengine - INFO - Epoch(train) [16][60/94] lr: 1.8910e-01 eta: 1:13:06 time: 0.5782 data_time: 0.2136 memory: 1587 grad_norm: 0.7680 loss: 4.4907 top1_acc: 0.1062 top5_acc: 0.2844 loss_cls: 4.4907 2023/07/02 13:16:37 - mmengine - INFO - Epoch(train) [16][80/94] lr: 1.8910e-01 eta: 1:12:57 time: 0.5751 data_time: 0.2097 memory: 1587 grad_norm: 0.7805 loss: 4.4692 top1_acc: 0.1938 top5_acc: 0.2969 loss_cls: 4.4692 2023/07/02 13:16:44 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:16:44 - mmengine - INFO - Epoch(train) [16][94/94] lr: 1.8910e-01 eta: 1:12:44 time: 0.4845 data_time: 0.1710 memory: 1587 grad_norm: 0.8246 loss: 4.4846 top1_acc: 0.0682 top5_acc: 0.2727 loss_cls: 4.4846 2023/07/02 13:16:56 - mmengine - INFO - Epoch(train) [17][20/94] lr: 1.8763e-01 eta: 1:12:37 time: 0.5959 data_time: 0.2384 memory: 1587 grad_norm: 0.7964 loss: 4.4090 top1_acc: 0.1594 top5_acc: 0.3063 loss_cls: 4.4090 2023/07/02 13:17:07 - mmengine - INFO - Epoch(train) [17][40/94] lr: 1.8763e-01 eta: 1:12:27 time: 0.5617 data_time: 0.2128 memory: 1587 grad_norm: 0.7757 loss: 4.4371 top1_acc: 0.1281 top5_acc: 0.2562 loss_cls: 4.4371 2023/07/02 13:17:19 - mmengine - INFO - Epoch(train) [17][60/94] lr: 1.8763e-01 eta: 1:12:18 time: 0.5717 data_time: 0.1998 memory: 1587 grad_norm: 0.7955 loss: 4.4097 top1_acc: 0.1313 top5_acc: 0.2719 loss_cls: 4.4097 2023/07/02 13:17:30 - mmengine - INFO - Epoch(train) [17][80/94] lr: 1.8763e-01 eta: 1:12:08 time: 0.5661 data_time: 0.2030 memory: 1587 grad_norm: 0.7956 loss: 4.4047 top1_acc: 0.1688 top5_acc: 0.2969 loss_cls: 4.4047 2023/07/02 13:17:37 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:17:37 - mmengine - INFO - Epoch(train) [17][94/94] lr: 1.8763e-01 eta: 1:11:54 time: 0.4754 data_time: 0.1839 memory: 1587 grad_norm: 0.8280 loss: 4.4041 top1_acc: 0.1818 top5_acc: 0.2955 loss_cls: 4.4041 2023/07/02 13:17:50 - mmengine - INFO - Epoch(train) [18][20/94] lr: 1.8607e-01 eta: 1:11:54 time: 0.6604 data_time: 0.2303 memory: 1587 grad_norm: 0.8131 loss: 4.3803 top1_acc: 0.1406 top5_acc: 0.3156 loss_cls: 4.3803 2023/07/02 13:18:02 - mmengine - INFO - Epoch(train) [18][40/94] lr: 1.8607e-01 eta: 1:11:50 time: 0.6288 data_time: 0.2080 memory: 1587 grad_norm: 0.7936 loss: 4.4129 top1_acc: 0.1625 top5_acc: 0.3312 loss_cls: 4.4129 2023/07/02 13:18:15 - mmengine - INFO - Epoch(train) [18][60/94] lr: 1.8607e-01 eta: 1:11:46 time: 0.6376 data_time: 0.2071 memory: 1587 grad_norm: 0.7831 loss: 4.4245 top1_acc: 0.1500 top5_acc: 0.3250 loss_cls: 4.4245 2023/07/02 13:18:27 - mmengine - INFO - Epoch(train) [18][80/94] lr: 1.8607e-01 eta: 1:11:41 time: 0.6203 data_time: 0.1992 memory: 1587 grad_norm: 0.7829 loss: 4.3714 top1_acc: 0.1750 top5_acc: 0.3219 loss_cls: 4.3714 2023/07/02 13:18:35 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:18:35 - mmengine - INFO - Epoch(train) [18][94/94] lr: 1.8607e-01 eta: 1:11:31 time: 0.5382 data_time: 0.1689 memory: 1587 grad_norm: 0.8418 loss: 4.4079 top1_acc: 0.1591 top5_acc: 0.2500 loss_cls: 4.4079 2023/07/02 13:18:47 - mmengine - INFO - Epoch(train) [19][20/94] lr: 1.8443e-01 eta: 1:11:25 time: 0.6138 data_time: 0.2302 memory: 1587 grad_norm: 0.8601 loss: 4.3807 top1_acc: 0.1625 top5_acc: 0.3125 loss_cls: 4.3807 2023/07/02 13:18:59 - mmengine - INFO - Epoch(train) [19][40/94] lr: 1.8443e-01 eta: 1:11:18 time: 0.6017 data_time: 0.2101 memory: 1587 grad_norm: 0.7970 loss: 4.3709 top1_acc: 0.1313 top5_acc: 0.2844 loss_cls: 4.3709 2023/07/02 13:19:11 - mmengine - INFO - Epoch(train) [19][60/94] lr: 1.8443e-01 eta: 1:11:09 time: 0.5857 data_time: 0.2050 memory: 1587 grad_norm: 0.8058 loss: 4.3900 top1_acc: 0.1531 top5_acc: 0.3250 loss_cls: 4.3900 2023/07/02 13:19:23 - mmengine - INFO - Epoch(train) [19][80/94] lr: 1.8443e-01 eta: 1:11:01 time: 0.5907 data_time: 0.2138 memory: 1587 grad_norm: 0.7998 loss: 4.3882 top1_acc: 0.1375 top5_acc: 0.3750 loss_cls: 4.3882 2023/07/02 13:19:29 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:19:29 - mmengine - INFO - Epoch(train) [19][94/94] lr: 1.8443e-01 eta: 1:10:48 time: 0.4892 data_time: 0.1624 memory: 1587 grad_norm: 0.8540 loss: 4.3966 top1_acc: 0.1364 top5_acc: 0.2955 loss_cls: 4.3966 2023/07/02 13:19:40 - mmengine - INFO - Epoch(train) [20][20/94] lr: 1.8271e-01 eta: 1:10:37 time: 0.5575 data_time: 0.2246 memory: 1587 grad_norm: 0.8222 loss: 4.3425 top1_acc: 0.1531 top5_acc: 0.3281 loss_cls: 4.3425 2023/07/02 13:19:51 - mmengine - INFO - Epoch(train) [20][40/94] lr: 1.8271e-01 eta: 1:10:24 time: 0.5337 data_time: 0.2072 memory: 1587 grad_norm: 0.7759 loss: 4.3365 top1_acc: 0.1750 top5_acc: 0.3250 loss_cls: 4.3365 2023/07/02 13:20:02 - mmengine - INFO - Epoch(train) [20][60/94] lr: 1.8271e-01 eta: 1:10:11 time: 0.5383 data_time: 0.2068 memory: 1587 grad_norm: 0.8092 loss: 4.3399 top1_acc: 0.1375 top5_acc: 0.2875 loss_cls: 4.3399 2023/07/02 13:20:13 - mmengine - INFO - Epoch(train) [20][80/94] lr: 1.8271e-01 eta: 1:09:59 time: 0.5442 data_time: 0.2096 memory: 1587 grad_norm: 0.8094 loss: 4.3272 top1_acc: 0.1313 top5_acc: 0.3094 loss_cls: 4.3272 2023/07/02 13:20:19 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:20:19 - mmengine - INFO - Epoch(train) [20][94/94] lr: 1.8271e-01 eta: 1:09:44 time: 0.4413 data_time: 0.1766 memory: 1587 grad_norm: 0.8715 loss: 4.4082 top1_acc: 0.1591 top5_acc: 0.2727 loss_cls: 4.4082 2023/07/02 13:20:19 - mmengine - INFO - Saving checkpoint at 20 epochs 2023/07/02 13:20:24 - mmengine - INFO - Epoch(val) [20][8/8] acc/top1: 0.0466 acc/top5: 0.1073 acc/mean1: 0.0464 data_time: 0.2007 time: 0.2790 2023/07/02 13:20:36 - mmengine - INFO - Epoch(train) [21][20/94] lr: 1.8090e-01 eta: 1:09:34 time: 0.5731 data_time: 0.2256 memory: 1587 grad_norm: 0.8473 loss: 4.3219 top1_acc: 0.1500 top5_acc: 0.3000 loss_cls: 4.3219 2023/07/02 13:20:46 - mmengine - INFO - Epoch(train) [21][40/94] lr: 1.8090e-01 eta: 1:09:21 time: 0.5310 data_time: 0.1992 memory: 1587 grad_norm: 0.8228 loss: 4.2866 top1_acc: 0.2250 top5_acc: 0.3625 loss_cls: 4.2866 2023/07/02 13:20:57 - mmengine - INFO - Epoch(train) [21][60/94] lr: 1.8090e-01 eta: 1:09:09 time: 0.5425 data_time: 0.2068 memory: 1587 grad_norm: 0.8187 loss: 4.3315 top1_acc: 0.1625 top5_acc: 0.3250 loss_cls: 4.3315 2023/07/02 13:21:08 - mmengine - INFO - Epoch(train) [21][80/94] lr: 1.8090e-01 eta: 1:08:57 time: 0.5426 data_time: 0.2144 memory: 1587 grad_norm: 0.8113 loss: 4.3510 top1_acc: 0.1594 top5_acc: 0.3375 loss_cls: 4.3510 2023/07/02 13:21:15 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:21:15 - mmengine - INFO - Epoch(train) [21][94/94] lr: 1.8090e-01 eta: 1:08:45 time: 0.4658 data_time: 0.1724 memory: 1587 grad_norm: 0.8803 loss: 4.3277 top1_acc: 0.2045 top5_acc: 0.4091 loss_cls: 4.3277 2023/07/02 13:21:27 - mmengine - INFO - Epoch(train) [22][20/94] lr: 1.7902e-01 eta: 1:08:37 time: 0.6005 data_time: 0.2223 memory: 1587 grad_norm: 0.8234 loss: 4.3093 top1_acc: 0.1562 top5_acc: 0.3281 loss_cls: 4.3093 2023/07/02 13:21:30 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:21:38 - mmengine - INFO - Epoch(train) [22][40/94] lr: 1.7902e-01 eta: 1:08:27 time: 0.5774 data_time: 0.2022 memory: 1587 grad_norm: 0.8436 loss: 4.2700 top1_acc: 0.2031 top5_acc: 0.3625 loss_cls: 4.2700 2023/07/02 13:21:50 - mmengine - INFO - Epoch(train) [22][60/94] lr: 1.7902e-01 eta: 1:08:17 time: 0.5718 data_time: 0.1977 memory: 1587 grad_norm: 0.8469 loss: 4.3263 top1_acc: 0.1313 top5_acc: 0.3000 loss_cls: 4.3263 2023/07/02 13:22:01 - mmengine - INFO - Epoch(train) [22][80/94] lr: 1.7902e-01 eta: 1:08:07 time: 0.5658 data_time: 0.2106 memory: 1587 grad_norm: 0.8448 loss: 4.2673 top1_acc: 0.1500 top5_acc: 0.3281 loss_cls: 4.2673 2023/07/02 13:22:08 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:22:08 - mmengine - INFO - Epoch(train) [22][94/94] lr: 1.7902e-01 eta: 1:07:55 time: 0.4860 data_time: 0.1837 memory: 1587 grad_norm: 0.8890 loss: 4.3143 top1_acc: 0.1591 top5_acc: 0.3182 loss_cls: 4.3143 2023/07/02 13:22:21 - mmengine - INFO - Epoch(train) [23][20/94] lr: 1.7705e-01 eta: 1:07:51 time: 0.6585 data_time: 0.2395 memory: 1587 grad_norm: 0.8662 loss: 4.3513 top1_acc: 0.1625 top5_acc: 0.3187 loss_cls: 4.3513 2023/07/02 13:22:33 - mmengine - INFO - Epoch(train) [23][40/94] lr: 1.7705e-01 eta: 1:07:45 time: 0.6261 data_time: 0.1944 memory: 1587 grad_norm: 0.8537 loss: 4.2864 top1_acc: 0.1594 top5_acc: 0.3031 loss_cls: 4.2864 2023/07/02 13:22:46 - mmengine - INFO - Epoch(train) [23][60/94] lr: 1.7705e-01 eta: 1:07:39 time: 0.6382 data_time: 0.2109 memory: 1587 grad_norm: 0.8197 loss: 4.2963 top1_acc: 0.1938 top5_acc: 0.3906 loss_cls: 4.2963 2023/07/02 13:22:59 - mmengine - INFO - Epoch(train) [23][80/94] lr: 1.7705e-01 eta: 1:07:32 time: 0.6256 data_time: 0.2070 memory: 1587 grad_norm: 0.8400 loss: 4.2760 top1_acc: 0.1875 top5_acc: 0.3250 loss_cls: 4.2760 2023/07/02 13:23:06 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:23:06 - mmengine - INFO - Epoch(train) [23][94/94] lr: 1.7705e-01 eta: 1:07:23 time: 0.5423 data_time: 0.1871 memory: 1587 grad_norm: 0.8825 loss: 4.2491 top1_acc: 0.1591 top5_acc: 0.3409 loss_cls: 4.2491 2023/07/02 13:23:19 - mmengine - INFO - Epoch(train) [24][20/94] lr: 1.7501e-01 eta: 1:07:18 time: 0.6462 data_time: 0.2307 memory: 1587 grad_norm: 0.8770 loss: 4.2739 top1_acc: 0.1750 top5_acc: 0.3500 loss_cls: 4.2739 2023/07/02 13:23:31 - mmengine - INFO - Epoch(train) [24][40/94] lr: 1.7501e-01 eta: 1:07:10 time: 0.6016 data_time: 0.2067 memory: 1587 grad_norm: 0.8468 loss: 4.2119 top1_acc: 0.1531 top5_acc: 0.3031 loss_cls: 4.2119 2023/07/02 13:23:44 - mmengine - INFO - Epoch(train) [24][60/94] lr: 1.7501e-01 eta: 1:07:03 time: 0.6340 data_time: 0.2039 memory: 1587 grad_norm: 0.8551 loss: 4.2100 top1_acc: 0.1844 top5_acc: 0.3344 loss_cls: 4.2100 2023/07/02 13:23:57 - mmengine - INFO - Epoch(train) [24][80/94] lr: 1.7501e-01 eta: 1:06:57 time: 0.6357 data_time: 0.2072 memory: 1587 grad_norm: 0.8550 loss: 4.2369 top1_acc: 0.2000 top5_acc: 0.3469 loss_cls: 4.2369 2023/07/02 13:24:04 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:24:04 - mmengine - INFO - Epoch(train) [24][94/94] lr: 1.7501e-01 eta: 1:06:47 time: 0.5352 data_time: 0.1695 memory: 1587 grad_norm: 0.8951 loss: 4.2857 top1_acc: 0.0909 top5_acc: 0.2955 loss_cls: 4.2857 2023/07/02 13:24:15 - mmengine - INFO - Epoch(train) [25][20/94] lr: 1.7290e-01 eta: 1:06:37 time: 0.5761 data_time: 0.2269 memory: 1587 grad_norm: 0.8720 loss: 4.2525 top1_acc: 0.1344 top5_acc: 0.3344 loss_cls: 4.2525 2023/07/02 13:24:26 - mmengine - INFO - Epoch(train) [25][40/94] lr: 1.7290e-01 eta: 1:06:25 time: 0.5546 data_time: 0.2154 memory: 1587 grad_norm: 0.8605 loss: 4.2723 top1_acc: 0.1594 top5_acc: 0.3438 loss_cls: 4.2723 2023/07/02 13:24:37 - mmengine - INFO - Epoch(train) [25][60/94] lr: 1.7290e-01 eta: 1:06:13 time: 0.5487 data_time: 0.2047 memory: 1587 grad_norm: 0.8624 loss: 4.2497 top1_acc: 0.1844 top5_acc: 0.3531 loss_cls: 4.2497 2023/07/02 13:24:49 - mmengine - INFO - Epoch(train) [25][80/94] lr: 1.7290e-01 eta: 1:06:02 time: 0.5590 data_time: 0.2116 memory: 1587 grad_norm: 0.8734 loss: 4.2672 top1_acc: 0.1344 top5_acc: 0.3094 loss_cls: 4.2672 2023/07/02 13:24:55 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:24:55 - mmengine - INFO - Epoch(train) [25][94/94] lr: 1.7290e-01 eta: 1:05:50 time: 0.4670 data_time: 0.1787 memory: 1587 grad_norm: 0.9165 loss: 4.2845 top1_acc: 0.1136 top5_acc: 0.2727 loss_cls: 4.2845 2023/07/02 13:24:55 - mmengine - INFO - Saving checkpoint at 25 epochs 2023/07/02 13:25:01 - mmengine - INFO - Epoch(val) [25][8/8] acc/top1: 0.0830 acc/top5: 0.1903 acc/mean1: 0.0828 data_time: 0.2170 time: 0.2964 2023/07/02 13:25:01 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_10.pth is removed 2023/07/02 13:25:01 - mmengine - INFO - The best checkpoint with 0.0830 acc/top1 at 25 epoch is saved to best_acc_top1_epoch_25.pth. 2023/07/02 13:25:12 - mmengine - INFO - Epoch(train) [26][20/94] lr: 1.7071e-01 eta: 1:05:37 time: 0.5322 data_time: 0.2256 memory: 1587 grad_norm: 0.8712 loss: 4.2044 top1_acc: 0.1656 top5_acc: 0.3375 loss_cls: 4.2044 2023/07/02 13:25:23 - mmengine - INFO - Epoch(train) [26][40/94] lr: 1.7071e-01 eta: 1:05:24 time: 0.5334 data_time: 0.2109 memory: 1587 grad_norm: 0.8841 loss: 4.1940 top1_acc: 0.1625 top5_acc: 0.3312 loss_cls: 4.1940 2023/07/02 13:25:33 - mmengine - INFO - Epoch(train) [26][60/94] lr: 1.7071e-01 eta: 1:05:12 time: 0.5395 data_time: 0.2019 memory: 1587 grad_norm: 0.8900 loss: 4.2426 top1_acc: 0.1625 top5_acc: 0.3406 loss_cls: 4.2426 2023/07/02 13:25:44 - mmengine - INFO - Epoch(train) [26][80/94] lr: 1.7071e-01 eta: 1:04:59 time: 0.5243 data_time: 0.2071 memory: 1587 grad_norm: 0.8736 loss: 4.2959 top1_acc: 0.1812 top5_acc: 0.3281 loss_cls: 4.2959 2023/07/02 13:25:50 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:25:50 - mmengine - INFO - Epoch(train) [26][94/94] lr: 1.7071e-01 eta: 1:04:46 time: 0.4544 data_time: 0.1717 memory: 1587 grad_norm: 0.9387 loss: 4.2459 top1_acc: 0.1364 top5_acc: 0.3182 loss_cls: 4.2459 2023/07/02 13:26:02 - mmengine - INFO - Epoch(train) [27][20/94] lr: 1.6845e-01 eta: 1:04:37 time: 0.5858 data_time: 0.2274 memory: 1587 grad_norm: 0.8902 loss: 4.2174 top1_acc: 0.1531 top5_acc: 0.3156 loss_cls: 4.2174 2023/07/02 13:26:13 - mmengine - INFO - Epoch(train) [27][40/94] lr: 1.6845e-01 eta: 1:04:26 time: 0.5678 data_time: 0.2146 memory: 1587 grad_norm: 0.8830 loss: 4.1991 top1_acc: 0.1938 top5_acc: 0.3750 loss_cls: 4.1991 2023/07/02 13:26:24 - mmengine - INFO - Epoch(train) [27][60/94] lr: 1.6845e-01 eta: 1:04:15 time: 0.5637 data_time: 0.2141 memory: 1587 grad_norm: 0.8909 loss: 4.2335 top1_acc: 0.1656 top5_acc: 0.3250 loss_cls: 4.2335 2023/07/02 13:26:36 - mmengine - INFO - Epoch(train) [27][80/94] lr: 1.6845e-01 eta: 1:04:04 time: 0.5732 data_time: 0.2159 memory: 1587 grad_norm: 0.8807 loss: 4.2316 top1_acc: 0.1562 top5_acc: 0.3250 loss_cls: 4.2316 2023/07/02 13:26:43 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:26:43 - mmengine - INFO - Epoch(train) [27][94/94] lr: 1.6845e-01 eta: 1:03:54 time: 0.4769 data_time: 0.1724 memory: 1587 grad_norm: 0.9434 loss: 4.2360 top1_acc: 0.2045 top5_acc: 0.3409 loss_cls: 4.2360 2023/07/02 13:26:55 - mmengine - INFO - Epoch(train) [28][20/94] lr: 1.6613e-01 eta: 1:03:47 time: 0.6354 data_time: 0.2292 memory: 1587 grad_norm: 0.9456 loss: 4.1919 top1_acc: 0.2125 top5_acc: 0.3625 loss_cls: 4.1919 2023/07/02 13:27:08 - mmengine - INFO - Epoch(train) [28][40/94] lr: 1.6613e-01 eta: 1:03:39 time: 0.6325 data_time: 0.2206 memory: 1587 grad_norm: 0.9015 loss: 4.1800 top1_acc: 0.1781 top5_acc: 0.3594 loss_cls: 4.1800 2023/07/02 13:27:20 - mmengine - INFO - Epoch(train) [28][60/94] lr: 1.6613e-01 eta: 1:03:31 time: 0.6128 data_time: 0.2164 memory: 1587 grad_norm: 0.9098 loss: 4.1596 top1_acc: 0.2062 top5_acc: 0.3750 loss_cls: 4.1596 2023/07/02 13:27:33 - mmengine - INFO - Epoch(train) [28][80/94] lr: 1.6613e-01 eta: 1:03:23 time: 0.6203 data_time: 0.2099 memory: 1587 grad_norm: 0.9030 loss: 4.1547 top1_acc: 0.1938 top5_acc: 0.3625 loss_cls: 4.1547 2023/07/02 13:27:40 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:27:40 - mmengine - INFO - Epoch(train) [28][94/94] lr: 1.6613e-01 eta: 1:03:14 time: 0.5318 data_time: 0.1757 memory: 1587 grad_norm: 0.9602 loss: 4.1972 top1_acc: 0.1591 top5_acc: 0.3636 loss_cls: 4.1972 2023/07/02 13:27:53 - mmengine - INFO - Epoch(train) [29][20/94] lr: 1.6374e-01 eta: 1:03:07 time: 0.6391 data_time: 0.2382 memory: 1587 grad_norm: 0.9164 loss: 4.1427 top1_acc: 0.2094 top5_acc: 0.3750 loss_cls: 4.1427 2023/07/02 13:28:05 - mmengine - INFO - Epoch(train) [29][40/94] lr: 1.6374e-01 eta: 1:02:58 time: 0.6049 data_time: 0.2140 memory: 1587 grad_norm: 0.9307 loss: 4.0780 top1_acc: 0.1938 top5_acc: 0.3812 loss_cls: 4.0780 2023/07/02 13:28:17 - mmengine - INFO - Epoch(train) [29][60/94] lr: 1.6374e-01 eta: 1:02:49 time: 0.6080 data_time: 0.2146 memory: 1587 grad_norm: 0.9130 loss: 4.1537 top1_acc: 0.1688 top5_acc: 0.3375 loss_cls: 4.1537 2023/07/02 13:28:30 - mmengine - INFO - Epoch(train) [29][80/94] lr: 1.6374e-01 eta: 1:02:41 time: 0.6302 data_time: 0.2171 memory: 1587 grad_norm: 0.9133 loss: 4.1988 top1_acc: 0.1938 top5_acc: 0.3563 loss_cls: 4.1988 2023/07/02 13:28:37 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:28:37 - mmengine - INFO - Epoch(train) [29][94/94] lr: 1.6374e-01 eta: 1:02:31 time: 0.5180 data_time: 0.1726 memory: 1587 grad_norm: 0.9805 loss: 4.2190 top1_acc: 0.1591 top5_acc: 0.2045 loss_cls: 4.2190 2023/07/02 13:28:49 - mmengine - INFO - Epoch(train) [30][20/94] lr: 1.6129e-01 eta: 1:02:21 time: 0.5948 data_time: 0.2339 memory: 1587 grad_norm: 0.9246 loss: 4.0923 top1_acc: 0.2094 top5_acc: 0.4031 loss_cls: 4.0923 2023/07/02 13:29:00 - mmengine - INFO - Epoch(train) [30][40/94] lr: 1.6129e-01 eta: 1:02:10 time: 0.5727 data_time: 0.2160 memory: 1587 grad_norm: 0.9028 loss: 4.1680 top1_acc: 0.1594 top5_acc: 0.3500 loss_cls: 4.1680 2023/07/02 13:29:11 - mmengine - INFO - Epoch(train) [30][60/94] lr: 1.6129e-01 eta: 1:02:00 time: 0.5731 data_time: 0.2045 memory: 1587 grad_norm: 0.9345 loss: 4.1444 top1_acc: 0.2094 top5_acc: 0.3812 loss_cls: 4.1444 2023/07/02 13:29:23 - mmengine - INFO - Epoch(train) [30][80/94] lr: 1.6129e-01 eta: 1:01:49 time: 0.5671 data_time: 0.2063 memory: 1587 grad_norm: 0.9362 loss: 4.1840 top1_acc: 0.1906 top5_acc: 0.3812 loss_cls: 4.1840 2023/07/02 13:29:29 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:29:29 - mmengine - INFO - Epoch(train) [30][94/94] lr: 1.6129e-01 eta: 1:01:38 time: 0.4757 data_time: 0.1607 memory: 1587 grad_norm: 0.9803 loss: 4.1292 top1_acc: 0.1364 top5_acc: 0.3636 loss_cls: 4.1292 2023/07/02 13:29:29 - mmengine - INFO - Saving checkpoint at 30 epochs 2023/07/02 13:29:35 - mmengine - INFO - Epoch(val) [30][8/8] acc/top1: 0.0541 acc/top5: 0.1282 acc/mean1: 0.0539 data_time: 0.2174 time: 0.2810 2023/07/02 13:29:47 - mmengine - INFO - Epoch(train) [31][20/94] lr: 1.5878e-01 eta: 1:01:28 time: 0.6016 data_time: 0.2189 memory: 1587 grad_norm: 0.9286 loss: 4.0970 top1_acc: 0.1844 top5_acc: 0.3781 loss_cls: 4.0970 2023/07/02 13:29:58 - mmengine - INFO - Epoch(train) [31][40/94] lr: 1.5878e-01 eta: 1:01:17 time: 0.5557 data_time: 0.2045 memory: 1587 grad_norm: 0.9345 loss: 4.1192 top1_acc: 0.1688 top5_acc: 0.3219 loss_cls: 4.1192 2023/07/02 13:30:10 - mmengine - INFO - Epoch(train) [31][60/94] lr: 1.5878e-01 eta: 1:01:06 time: 0.5752 data_time: 0.2091 memory: 1587 grad_norm: 0.9589 loss: 4.1509 top1_acc: 0.1625 top5_acc: 0.3781 loss_cls: 4.1509 2023/07/02 13:30:21 - mmengine - INFO - Epoch(train) [31][80/94] lr: 1.5878e-01 eta: 1:00:56 time: 0.5804 data_time: 0.2137 memory: 1587 grad_norm: 0.9372 loss: 4.1220 top1_acc: 0.2250 top5_acc: 0.4156 loss_cls: 4.1220 2023/07/02 13:30:28 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:30:28 - mmengine - INFO - Epoch(train) [31][94/94] lr: 1.5878e-01 eta: 1:00:45 time: 0.4819 data_time: 0.1617 memory: 1587 grad_norm: 1.0112 loss: 4.1182 top1_acc: 0.2045 top5_acc: 0.3636 loss_cls: 4.1182 2023/07/02 13:30:39 - mmengine - INFO - Epoch(train) [32][20/94] lr: 1.5621e-01 eta: 1:00:34 time: 0.5618 data_time: 0.2317 memory: 1587 grad_norm: 0.9978 loss: 4.1124 top1_acc: 0.2219 top5_acc: 0.3594 loss_cls: 4.1124 2023/07/02 13:30:50 - mmengine - INFO - Epoch(train) [32][40/94] lr: 1.5621e-01 eta: 1:00:21 time: 0.5252 data_time: 0.2083 memory: 1587 grad_norm: 0.9616 loss: 4.0516 top1_acc: 0.1938 top5_acc: 0.3812 loss_cls: 4.0516 2023/07/02 13:31:00 - mmengine - INFO - Epoch(train) [32][60/94] lr: 1.5621e-01 eta: 1:00:08 time: 0.5288 data_time: 0.2074 memory: 1587 grad_norm: 0.9527 loss: 4.0541 top1_acc: 0.2062 top5_acc: 0.3531 loss_cls: 4.0541 2023/07/02 13:31:11 - mmengine - INFO - Epoch(train) [32][80/94] lr: 1.5621e-01 eta: 0:59:56 time: 0.5363 data_time: 0.2113 memory: 1587 grad_norm: 0.9663 loss: 4.1438 top1_acc: 0.2000 top5_acc: 0.4188 loss_cls: 4.1438 2023/07/02 13:31:14 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:31:17 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:31:17 - mmengine - INFO - Epoch(train) [32][94/94] lr: 1.5621e-01 eta: 0:59:44 time: 0.4533 data_time: 0.1668 memory: 1587 grad_norm: 1.0369 loss: 4.0801 top1_acc: 0.1818 top5_acc: 0.3182 loss_cls: 4.0801 2023/07/02 13:31:30 - mmengine - INFO - Epoch(train) [33][20/94] lr: 1.5358e-01 eta: 0:59:37 time: 0.6485 data_time: 0.2314 memory: 1587 grad_norm: 0.9742 loss: 4.0492 top1_acc: 0.2313 top5_acc: 0.3937 loss_cls: 4.0492 2023/07/02 13:31:42 - mmengine - INFO - Epoch(train) [33][40/94] lr: 1.5358e-01 eta: 0:59:28 time: 0.6087 data_time: 0.2161 memory: 1587 grad_norm: 0.9601 loss: 4.0914 top1_acc: 0.2156 top5_acc: 0.4281 loss_cls: 4.0914 2023/07/02 13:31:54 - mmengine - INFO - Epoch(train) [33][60/94] lr: 1.5358e-01 eta: 0:59:18 time: 0.6127 data_time: 0.2046 memory: 1587 grad_norm: 0.9915 loss: 4.0649 top1_acc: 0.2000 top5_acc: 0.3781 loss_cls: 4.0649 2023/07/02 13:32:07 - mmengine - INFO - Epoch(train) [33][80/94] lr: 1.5358e-01 eta: 0:59:10 time: 0.6186 data_time: 0.2052 memory: 1587 grad_norm: 0.9887 loss: 4.0826 top1_acc: 0.2000 top5_acc: 0.3812 loss_cls: 4.0826 2023/07/02 13:32:14 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:32:14 - mmengine - INFO - Epoch(train) [33][94/94] lr: 1.5358e-01 eta: 0:59:00 time: 0.5141 data_time: 0.1682 memory: 1587 grad_norm: 1.0680 loss: 4.0689 top1_acc: 0.2045 top5_acc: 0.4091 loss_cls: 4.0689 2023/07/02 13:32:25 - mmengine - INFO - Epoch(train) [34][20/94] lr: 1.5090e-01 eta: 0:58:48 time: 0.5359 data_time: 0.2244 memory: 1587 grad_norm: 1.0193 loss: 4.0445 top1_acc: 0.2250 top5_acc: 0.4125 loss_cls: 4.0445 2023/07/02 13:32:35 - mmengine - INFO - Epoch(train) [34][40/94] lr: 1.5090e-01 eta: 0:58:35 time: 0.5168 data_time: 0.2056 memory: 1587 grad_norm: 1.0059 loss: 4.0294 top1_acc: 0.1969 top5_acc: 0.3375 loss_cls: 4.0294 2023/07/02 13:32:45 - mmengine - INFO - Epoch(train) [34][60/94] lr: 1.5090e-01 eta: 0:58:22 time: 0.5230 data_time: 0.2117 memory: 1587 grad_norm: 1.0073 loss: 4.0501 top1_acc: 0.2219 top5_acc: 0.4094 loss_cls: 4.0501 2023/07/02 13:32:56 - mmengine - INFO - Epoch(train) [34][80/94] lr: 1.5090e-01 eta: 0:58:09 time: 0.5253 data_time: 0.2102 memory: 1587 grad_norm: 1.0041 loss: 4.0722 top1_acc: 0.2062 top5_acc: 0.3906 loss_cls: 4.0722 2023/07/02 13:33:02 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:33:02 - mmengine - INFO - Epoch(train) [34][94/94] lr: 1.5090e-01 eta: 0:57:58 time: 0.4333 data_time: 0.1766 memory: 1587 grad_norm: 1.0844 loss: 4.0345 top1_acc: 0.0682 top5_acc: 0.3182 loss_cls: 4.0345 2023/07/02 13:33:14 - mmengine - INFO - Epoch(train) [35][20/94] lr: 1.4818e-01 eta: 0:57:48 time: 0.6033 data_time: 0.2278 memory: 1587 grad_norm: 1.0282 loss: 4.0519 top1_acc: 0.2375 top5_acc: 0.4688 loss_cls: 4.0519 2023/07/02 13:33:26 - mmengine - INFO - Epoch(train) [35][40/94] lr: 1.4818e-01 eta: 0:57:38 time: 0.5833 data_time: 0.2027 memory: 1587 grad_norm: 1.0109 loss: 4.0389 top1_acc: 0.1781 top5_acc: 0.3844 loss_cls: 4.0389 2023/07/02 13:33:37 - mmengine - INFO - Epoch(train) [35][60/94] lr: 1.4818e-01 eta: 0:57:27 time: 0.5777 data_time: 0.2089 memory: 1587 grad_norm: 1.0386 loss: 4.0349 top1_acc: 0.1625 top5_acc: 0.3563 loss_cls: 4.0349 2023/07/02 13:33:49 - mmengine - INFO - Epoch(train) [35][80/94] lr: 1.4818e-01 eta: 0:57:17 time: 0.5802 data_time: 0.2082 memory: 1587 grad_norm: 1.0198 loss: 4.0854 top1_acc: 0.2156 top5_acc: 0.4437 loss_cls: 4.0854 2023/07/02 13:33:56 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:33:56 - mmengine - INFO - Epoch(train) [35][94/94] lr: 1.4818e-01 eta: 0:57:07 time: 0.4980 data_time: 0.1972 memory: 1587 grad_norm: 1.0957 loss: 4.0785 top1_acc: 0.1136 top5_acc: 0.2955 loss_cls: 4.0785 2023/07/02 13:33:56 - mmengine - INFO - Saving checkpoint at 35 epochs 2023/07/02 13:34:01 - mmengine - INFO - Epoch(val) [35][8/8] acc/top1: 0.0838 acc/top5: 0.1879 acc/mean1: 0.0835 data_time: 0.2135 time: 0.2760 2023/07/02 13:34:01 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_25.pth is removed 2023/07/02 13:34:03 - mmengine - INFO - The best checkpoint with 0.0838 acc/top1 at 35 epoch is saved to best_acc_top1_epoch_35.pth. 2023/07/02 13:34:15 - mmengine - INFO - Epoch(train) [36][20/94] lr: 1.4540e-01 eta: 0:56:57 time: 0.5996 data_time: 0.2357 memory: 1587 grad_norm: 1.0340 loss: 3.9896 top1_acc: 0.2375 top5_acc: 0.4219 loss_cls: 3.9896 2023/07/02 13:34:26 - mmengine - INFO - Epoch(train) [36][40/94] lr: 1.4540e-01 eta: 0:56:47 time: 0.5844 data_time: 0.2125 memory: 1587 grad_norm: 1.0176 loss: 3.9661 top1_acc: 0.2125 top5_acc: 0.3688 loss_cls: 3.9661 2023/07/02 13:34:38 - mmengine - INFO - Epoch(train) [36][60/94] lr: 1.4540e-01 eta: 0:56:37 time: 0.5885 data_time: 0.2212 memory: 1587 grad_norm: 1.0271 loss: 4.0633 top1_acc: 0.2219 top5_acc: 0.4094 loss_cls: 4.0633 2023/07/02 13:34:49 - mmengine - INFO - Epoch(train) [36][80/94] lr: 1.4540e-01 eta: 0:56:26 time: 0.5741 data_time: 0.1980 memory: 1587 grad_norm: 1.0360 loss: 4.0191 top1_acc: 0.1594 top5_acc: 0.3875 loss_cls: 4.0191 2023/07/02 13:34:56 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:34:56 - mmengine - INFO - Epoch(train) [36][94/94] lr: 1.4540e-01 eta: 0:56:16 time: 0.4932 data_time: 0.1804 memory: 1587 grad_norm: 1.1236 loss: 4.0282 top1_acc: 0.1818 top5_acc: 0.3409 loss_cls: 4.0282 2023/07/02 13:35:09 - mmengine - INFO - Epoch(train) [37][20/94] lr: 1.4258e-01 eta: 0:56:07 time: 0.6230 data_time: 0.2317 memory: 1587 grad_norm: 1.0473 loss: 3.9561 top1_acc: 0.1875 top5_acc: 0.4219 loss_cls: 3.9561 2023/07/02 13:35:21 - mmengine - INFO - Epoch(train) [37][40/94] lr: 1.4258e-01 eta: 0:55:58 time: 0.6189 data_time: 0.2119 memory: 1587 grad_norm: 1.0442 loss: 3.9892 top1_acc: 0.1750 top5_acc: 0.3969 loss_cls: 3.9892 2023/07/02 13:35:33 - mmengine - INFO - Epoch(train) [37][60/94] lr: 1.4258e-01 eta: 0:55:48 time: 0.6000 data_time: 0.2081 memory: 1587 grad_norm: 1.0706 loss: 4.0257 top1_acc: 0.2188 top5_acc: 0.4000 loss_cls: 4.0257 2023/07/02 13:35:45 - mmengine - INFO - Epoch(train) [37][80/94] lr: 1.4258e-01 eta: 0:55:39 time: 0.6237 data_time: 0.2086 memory: 1587 grad_norm: 1.0769 loss: 4.0487 top1_acc: 0.2344 top5_acc: 0.4000 loss_cls: 4.0487 2023/07/02 13:35:53 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:35:53 - mmengine - INFO - Epoch(train) [37][94/94] lr: 1.4258e-01 eta: 0:55:30 time: 0.5324 data_time: 0.1900 memory: 1587 grad_norm: 1.1435 loss: 4.0267 top1_acc: 0.2500 top5_acc: 0.3864 loss_cls: 4.0267 2023/07/02 13:36:04 - mmengine - INFO - Epoch(train) [38][20/94] lr: 1.3971e-01 eta: 0:55:19 time: 0.5639 data_time: 0.2292 memory: 1587 grad_norm: 1.0803 loss: 3.9931 top1_acc: 0.2281 top5_acc: 0.4250 loss_cls: 3.9931 2023/07/02 13:36:15 - mmengine - INFO - Epoch(train) [38][40/94] lr: 1.3971e-01 eta: 0:55:06 time: 0.5332 data_time: 0.2044 memory: 1587 grad_norm: 1.0851 loss: 4.0181 top1_acc: 0.2219 top5_acc: 0.3781 loss_cls: 4.0181 2023/07/02 13:36:25 - mmengine - INFO - Epoch(train) [38][60/94] lr: 1.3971e-01 eta: 0:54:54 time: 0.5309 data_time: 0.2051 memory: 1587 grad_norm: 1.0805 loss: 3.9957 top1_acc: 0.1781 top5_acc: 0.3781 loss_cls: 3.9957 2023/07/02 13:36:36 - mmengine - INFO - Epoch(train) [38][80/94] lr: 1.3971e-01 eta: 0:54:42 time: 0.5394 data_time: 0.2096 memory: 1587 grad_norm: 1.0835 loss: 3.9562 top1_acc: 0.1812 top5_acc: 0.3875 loss_cls: 3.9562 2023/07/02 13:36:42 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:36:42 - mmengine - INFO - Epoch(train) [38][94/94] lr: 1.3971e-01 eta: 0:54:31 time: 0.4472 data_time: 0.1869 memory: 1587 grad_norm: 1.1479 loss: 4.0191 top1_acc: 0.1136 top5_acc: 0.2955 loss_cls: 4.0191 2023/07/02 13:36:54 - mmengine - INFO - Epoch(train) [39][20/94] lr: 1.3681e-01 eta: 0:54:21 time: 0.6032 data_time: 0.2297 memory: 1587 grad_norm: 1.1000 loss: 3.9619 top1_acc: 0.2000 top5_acc: 0.3844 loss_cls: 3.9619 2023/07/02 13:37:06 - mmengine - INFO - Epoch(train) [39][40/94] lr: 1.3681e-01 eta: 0:54:11 time: 0.5754 data_time: 0.2009 memory: 1587 grad_norm: 1.0873 loss: 3.9197 top1_acc: 0.2094 top5_acc: 0.4094 loss_cls: 3.9197 2023/07/02 13:37:17 - mmengine - INFO - Epoch(train) [39][60/94] lr: 1.3681e-01 eta: 0:54:00 time: 0.5673 data_time: 0.1960 memory: 1587 grad_norm: 1.0979 loss: 3.9776 top1_acc: 0.2344 top5_acc: 0.4156 loss_cls: 3.9776 2023/07/02 13:37:29 - mmengine - INFO - Epoch(train) [39][80/94] lr: 1.3681e-01 eta: 0:53:49 time: 0.5932 data_time: 0.2252 memory: 1587 grad_norm: 1.1083 loss: 3.9883 top1_acc: 0.2031 top5_acc: 0.3656 loss_cls: 3.9883 2023/07/02 13:37:35 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:37:35 - mmengine - INFO - Epoch(train) [39][94/94] lr: 1.3681e-01 eta: 0:53:39 time: 0.4929 data_time: 0.1641 memory: 1587 grad_norm: 1.1939 loss: 3.9828 top1_acc: 0.2500 top5_acc: 0.4773 loss_cls: 3.9828 2023/07/02 13:37:46 - mmengine - INFO - Epoch(train) [40][20/94] lr: 1.3387e-01 eta: 0:53:28 time: 0.5469 data_time: 0.2258 memory: 1587 grad_norm: 1.1265 loss: 4.0106 top1_acc: 0.2313 top5_acc: 0.3812 loss_cls: 4.0106 2023/07/02 13:37:57 - mmengine - INFO - Epoch(train) [40][40/94] lr: 1.3387e-01 eta: 0:53:15 time: 0.5150 data_time: 0.2164 memory: 1587 grad_norm: 1.0986 loss: 3.9697 top1_acc: 0.2125 top5_acc: 0.4219 loss_cls: 3.9697 2023/07/02 13:38:07 - mmengine - INFO - Epoch(train) [40][60/94] lr: 1.3387e-01 eta: 0:53:03 time: 0.5263 data_time: 0.2090 memory: 1587 grad_norm: 1.1073 loss: 3.9705 top1_acc: 0.2094 top5_acc: 0.4000 loss_cls: 3.9705 2023/07/02 13:38:18 - mmengine - INFO - Epoch(train) [40][80/94] lr: 1.3387e-01 eta: 0:52:50 time: 0.5194 data_time: 0.1999 memory: 1587 grad_norm: 1.1175 loss: 4.0037 top1_acc: 0.2531 top5_acc: 0.3969 loss_cls: 4.0037 2023/07/02 13:38:24 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:38:24 - mmengine - INFO - Epoch(train) [40][94/94] lr: 1.3387e-01 eta: 0:52:40 time: 0.4378 data_time: 0.1568 memory: 1587 grad_norm: 1.2015 loss: 3.9876 top1_acc: 0.1364 top5_acc: 0.2500 loss_cls: 3.9876 2023/07/02 13:38:24 - mmengine - INFO - Saving checkpoint at 40 epochs 2023/07/02 13:38:30 - mmengine - INFO - Epoch(val) [40][8/8] acc/top1: 0.1080 acc/top5: 0.2311 acc/mean1: 0.1078 data_time: 0.2258 time: 0.3163 2023/07/02 13:38:30 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_35.pth is removed 2023/07/02 13:38:31 - mmengine - INFO - The best checkpoint with 0.1080 acc/top1 at 40 epoch is saved to best_acc_top1_epoch_40.pth. 2023/07/02 13:38:43 - mmengine - INFO - Epoch(train) [41][20/94] lr: 1.3090e-01 eta: 0:52:30 time: 0.5869 data_time: 0.2263 memory: 1587 grad_norm: 1.1589 loss: 3.9286 top1_acc: 0.2250 top5_acc: 0.3844 loss_cls: 3.9286 2023/07/02 13:38:54 - mmengine - INFO - Epoch(train) [41][40/94] lr: 1.3090e-01 eta: 0:52:19 time: 0.5767 data_time: 0.2100 memory: 1587 grad_norm: 1.1298 loss: 3.8813 top1_acc: 0.2531 top5_acc: 0.4188 loss_cls: 3.8813 2023/07/02 13:39:06 - mmengine - INFO - Epoch(train) [41][60/94] lr: 1.3090e-01 eta: 0:52:08 time: 0.5782 data_time: 0.2021 memory: 1587 grad_norm: 1.1422 loss: 3.9441 top1_acc: 0.1812 top5_acc: 0.3719 loss_cls: 3.9441 2023/07/02 13:39:17 - mmengine - INFO - Epoch(train) [41][80/94] lr: 1.3090e-01 eta: 0:51:58 time: 0.5826 data_time: 0.2146 memory: 1587 grad_norm: 1.1396 loss: 3.9292 top1_acc: 0.2031 top5_acc: 0.4219 loss_cls: 3.9292 2023/07/02 13:39:24 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:39:24 - mmengine - INFO - Epoch(train) [41][94/94] lr: 1.3090e-01 eta: 0:51:48 time: 0.4898 data_time: 0.1734 memory: 1587 grad_norm: 1.2365 loss: 3.9688 top1_acc: 0.2045 top5_acc: 0.4091 loss_cls: 3.9688 2023/07/02 13:39:36 - mmengine - INFO - Epoch(train) [42][20/94] lr: 1.2790e-01 eta: 0:51:38 time: 0.6013 data_time: 0.2414 memory: 1587 grad_norm: 1.1487 loss: 3.8750 top1_acc: 0.2562 top5_acc: 0.4469 loss_cls: 3.8750 2023/07/02 13:39:48 - mmengine - INFO - Epoch(train) [42][40/94] lr: 1.2790e-01 eta: 0:51:27 time: 0.5796 data_time: 0.2094 memory: 1587 grad_norm: 1.1585 loss: 3.9289 top1_acc: 0.2156 top5_acc: 0.3875 loss_cls: 3.9289 2023/07/02 13:39:59 - mmengine - INFO - Epoch(train) [42][60/94] lr: 1.2790e-01 eta: 0:51:16 time: 0.5775 data_time: 0.2087 memory: 1587 grad_norm: 1.1593 loss: 3.9515 top1_acc: 0.2031 top5_acc: 0.3781 loss_cls: 3.9515 2023/07/02 13:40:10 - mmengine - INFO - Epoch(train) [42][80/94] lr: 1.2790e-01 eta: 0:51:05 time: 0.5611 data_time: 0.1988 memory: 1587 grad_norm: 1.1516 loss: 3.9356 top1_acc: 0.2000 top5_acc: 0.3688 loss_cls: 3.9356 2023/07/02 13:40:17 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:40:17 - mmengine - INFO - Epoch(train) [42][94/94] lr: 1.2790e-01 eta: 0:50:56 time: 0.4857 data_time: 0.1854 memory: 1587 grad_norm: 1.2543 loss: 3.9408 top1_acc: 0.2045 top5_acc: 0.3864 loss_cls: 3.9408 2023/07/02 13:40:29 - mmengine - INFO - Epoch(train) [43][20/94] lr: 1.2487e-01 eta: 0:50:45 time: 0.5648 data_time: 0.2335 memory: 1587 grad_norm: 1.1853 loss: 3.8796 top1_acc: 0.2437 top5_acc: 0.4062 loss_cls: 3.8796 2023/07/02 13:40:39 - mmengine - INFO - Epoch(train) [43][40/94] lr: 1.2487e-01 eta: 0:50:33 time: 0.5164 data_time: 0.2222 memory: 1587 grad_norm: 1.1718 loss: 3.8542 top1_acc: 0.2406 top5_acc: 0.4062 loss_cls: 3.8542 2023/07/02 13:40:45 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:40:49 - mmengine - INFO - Epoch(train) [43][60/94] lr: 1.2487e-01 eta: 0:50:20 time: 0.5240 data_time: 0.2092 memory: 1587 grad_norm: 1.2047 loss: 3.8484 top1_acc: 0.2156 top5_acc: 0.4062 loss_cls: 3.8484 2023/07/02 13:41:00 - mmengine - INFO - Epoch(train) [43][80/94] lr: 1.2487e-01 eta: 0:50:09 time: 0.5419 data_time: 0.2045 memory: 1587 grad_norm: 1.1775 loss: 3.8773 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.8773 2023/07/02 13:41:06 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:41:06 - mmengine - INFO - Epoch(train) [43][94/94] lr: 1.2487e-01 eta: 0:49:58 time: 0.4498 data_time: 0.1701 memory: 1587 grad_norm: 1.2853 loss: 3.8334 top1_acc: 0.2727 top5_acc: 0.3864 loss_cls: 3.8334 2023/07/02 13:41:19 - mmengine - INFO - Epoch(train) [44][20/94] lr: 1.2181e-01 eta: 0:49:49 time: 0.6294 data_time: 0.2297 memory: 1587 grad_norm: 1.2256 loss: 3.8910 top1_acc: 0.1969 top5_acc: 0.4062 loss_cls: 3.8910 2023/07/02 13:41:31 - mmengine - INFO - Epoch(train) [44][40/94] lr: 1.2181e-01 eta: 0:49:39 time: 0.5897 data_time: 0.2044 memory: 1587 grad_norm: 1.2094 loss: 3.8704 top1_acc: 0.2469 top5_acc: 0.4406 loss_cls: 3.8704 2023/07/02 13:41:43 - mmengine - INFO - Epoch(train) [44][60/94] lr: 1.2181e-01 eta: 0:49:28 time: 0.5978 data_time: 0.1960 memory: 1587 grad_norm: 1.2176 loss: 3.7954 top1_acc: 0.2437 top5_acc: 0.4125 loss_cls: 3.7954 2023/07/02 13:41:55 - mmengine - INFO - Epoch(train) [44][80/94] lr: 1.2181e-01 eta: 0:49:19 time: 0.6156 data_time: 0.2118 memory: 1587 grad_norm: 1.2135 loss: 3.8335 top1_acc: 0.2406 top5_acc: 0.4594 loss_cls: 3.8335 2023/07/02 13:42:02 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:42:02 - mmengine - INFO - Epoch(train) [44][94/94] lr: 1.2181e-01 eta: 0:49:10 time: 0.5198 data_time: 0.1933 memory: 1587 grad_norm: 1.3130 loss: 3.8369 top1_acc: 0.2045 top5_acc: 0.3864 loss_cls: 3.8369 2023/07/02 13:42:14 - mmengine - INFO - Epoch(train) [45][20/94] lr: 1.1874e-01 eta: 0:49:00 time: 0.6106 data_time: 0.2427 memory: 1587 grad_norm: 1.2549 loss: 3.8387 top1_acc: 0.2344 top5_acc: 0.4031 loss_cls: 3.8387 2023/07/02 13:42:26 - mmengine - INFO - Epoch(train) [45][40/94] lr: 1.1874e-01 eta: 0:48:49 time: 0.5817 data_time: 0.2068 memory: 1587 grad_norm: 1.2351 loss: 3.7908 top1_acc: 0.2625 top5_acc: 0.4531 loss_cls: 3.7908 2023/07/02 13:42:37 - mmengine - INFO - Epoch(train) [45][60/94] lr: 1.1874e-01 eta: 0:48:38 time: 0.5735 data_time: 0.2158 memory: 1587 grad_norm: 1.2412 loss: 3.8409 top1_acc: 0.2656 top5_acc: 0.4656 loss_cls: 3.8409 2023/07/02 13:42:49 - mmengine - INFO - Epoch(train) [45][80/94] lr: 1.1874e-01 eta: 0:48:28 time: 0.5862 data_time: 0.2035 memory: 1587 grad_norm: 1.2186 loss: 3.7990 top1_acc: 0.1875 top5_acc: 0.4125 loss_cls: 3.7990 2023/07/02 13:42:56 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:42:56 - mmengine - INFO - Epoch(train) [45][94/94] lr: 1.1874e-01 eta: 0:48:18 time: 0.4811 data_time: 0.1814 memory: 1587 grad_norm: 1.3224 loss: 3.8825 top1_acc: 0.1364 top5_acc: 0.2727 loss_cls: 3.8825 2023/07/02 13:42:56 - mmengine - INFO - Saving checkpoint at 45 epochs 2023/07/02 13:43:01 - mmengine - INFO - Epoch(val) [45][8/8] acc/top1: 0.0812 acc/top5: 0.1796 acc/mean1: 0.0810 data_time: 0.1941 time: 0.2833 2023/07/02 13:43:13 - mmengine - INFO - Epoch(train) [46][20/94] lr: 1.1564e-01 eta: 0:48:08 time: 0.6217 data_time: 0.2316 memory: 1587 grad_norm: 1.2690 loss: 3.7769 top1_acc: 0.2406 top5_acc: 0.4250 loss_cls: 3.7769 2023/07/02 13:43:25 - mmengine - INFO - Epoch(train) [46][40/94] lr: 1.1564e-01 eta: 0:47:58 time: 0.5861 data_time: 0.2163 memory: 1587 grad_norm: 1.2636 loss: 3.7409 top1_acc: 0.2750 top5_acc: 0.4531 loss_cls: 3.7409 2023/07/02 13:43:37 - mmengine - INFO - Epoch(train) [46][60/94] lr: 1.1564e-01 eta: 0:47:47 time: 0.6014 data_time: 0.2111 memory: 1587 grad_norm: 1.2698 loss: 3.8207 top1_acc: 0.2531 top5_acc: 0.4188 loss_cls: 3.8207 2023/07/02 13:43:49 - mmengine - INFO - Epoch(train) [46][80/94] lr: 1.1564e-01 eta: 0:47:37 time: 0.5772 data_time: 0.2048 memory: 1587 grad_norm: 1.2749 loss: 3.7959 top1_acc: 0.2562 top5_acc: 0.4625 loss_cls: 3.7959 2023/07/02 13:43:55 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:43:55 - mmengine - INFO - Epoch(train) [46][94/94] lr: 1.1564e-01 eta: 0:47:28 time: 0.4961 data_time: 0.1906 memory: 1587 grad_norm: 1.3759 loss: 3.8019 top1_acc: 0.2045 top5_acc: 0.4318 loss_cls: 3.8019 2023/07/02 13:44:07 - mmengine - INFO - Epoch(train) [47][20/94] lr: 1.1253e-01 eta: 0:47:17 time: 0.5758 data_time: 0.2193 memory: 1587 grad_norm: 1.2901 loss: 3.7530 top1_acc: 0.2156 top5_acc: 0.4469 loss_cls: 3.7530 2023/07/02 13:44:18 - mmengine - INFO - Epoch(train) [47][40/94] lr: 1.1253e-01 eta: 0:47:06 time: 0.5613 data_time: 0.2147 memory: 1587 grad_norm: 1.2479 loss: 3.7168 top1_acc: 0.2812 top5_acc: 0.4875 loss_cls: 3.7168 2023/07/02 13:44:30 - mmengine - INFO - Epoch(train) [47][60/94] lr: 1.1253e-01 eta: 0:46:55 time: 0.5817 data_time: 0.2113 memory: 1587 grad_norm: 1.3129 loss: 3.7281 top1_acc: 0.2719 top5_acc: 0.4531 loss_cls: 3.7281 2023/07/02 13:44:41 - mmengine - INFO - Epoch(train) [47][80/94] lr: 1.1253e-01 eta: 0:46:44 time: 0.5716 data_time: 0.2026 memory: 1587 grad_norm: 1.2938 loss: 3.7886 top1_acc: 0.2031 top5_acc: 0.3563 loss_cls: 3.7886 2023/07/02 13:44:48 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:44:48 - mmengine - INFO - Epoch(train) [47][94/94] lr: 1.1253e-01 eta: 0:46:35 time: 0.4942 data_time: 0.1832 memory: 1587 grad_norm: 1.4108 loss: 3.8538 top1_acc: 0.2273 top5_acc: 0.4545 loss_cls: 3.8538 2023/07/02 13:45:00 - mmengine - INFO - Epoch(train) [48][20/94] lr: 1.0941e-01 eta: 0:46:24 time: 0.6037 data_time: 0.2280 memory: 1587 grad_norm: 1.3249 loss: 3.8224 top1_acc: 0.2719 top5_acc: 0.4719 loss_cls: 3.8224 2023/07/02 13:45:11 - mmengine - INFO - Epoch(train) [48][40/94] lr: 1.0941e-01 eta: 0:46:13 time: 0.5668 data_time: 0.2058 memory: 1587 grad_norm: 1.2986 loss: 3.7961 top1_acc: 0.2469 top5_acc: 0.4594 loss_cls: 3.7961 2023/07/02 13:45:23 - mmengine - INFO - Epoch(train) [48][60/94] lr: 1.0941e-01 eta: 0:46:02 time: 0.5649 data_time: 0.1967 memory: 1587 grad_norm: 1.3033 loss: 3.8002 top1_acc: 0.2219 top5_acc: 0.4313 loss_cls: 3.8002 2023/07/02 13:45:34 - mmengine - INFO - Epoch(train) [48][80/94] lr: 1.0941e-01 eta: 0:45:51 time: 0.5843 data_time: 0.2135 memory: 1587 grad_norm: 1.3014 loss: 3.7654 top1_acc: 0.2313 top5_acc: 0.4000 loss_cls: 3.7654 2023/07/02 13:45:41 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:45:41 - mmengine - INFO - Epoch(train) [48][94/94] lr: 1.0941e-01 eta: 0:45:42 time: 0.4758 data_time: 0.1631 memory: 1587 grad_norm: 1.4176 loss: 3.8297 top1_acc: 0.2045 top5_acc: 0.3864 loss_cls: 3.8297 2023/07/02 13:45:52 - mmengine - INFO - Epoch(train) [49][20/94] lr: 1.0628e-01 eta: 0:45:31 time: 0.5571 data_time: 0.2324 memory: 1587 grad_norm: 1.3259 loss: 3.7318 top1_acc: 0.2469 top5_acc: 0.4625 loss_cls: 3.7318 2023/07/02 13:46:03 - mmengine - INFO - Epoch(train) [49][40/94] lr: 1.0628e-01 eta: 0:45:19 time: 0.5220 data_time: 0.2004 memory: 1587 grad_norm: 1.3270 loss: 3.7097 top1_acc: 0.2687 top5_acc: 0.4562 loss_cls: 3.7097 2023/07/02 13:46:13 - mmengine - INFO - Epoch(train) [49][60/94] lr: 1.0628e-01 eta: 0:45:07 time: 0.5288 data_time: 0.2015 memory: 1587 grad_norm: 1.3373 loss: 3.7283 top1_acc: 0.2469 top5_acc: 0.4344 loss_cls: 3.7283 2023/07/02 13:46:24 - mmengine - INFO - Epoch(train) [49][80/94] lr: 1.0628e-01 eta: 0:44:55 time: 0.5302 data_time: 0.2059 memory: 1587 grad_norm: 1.3263 loss: 3.7437 top1_acc: 0.2844 top5_acc: 0.4625 loss_cls: 3.7437 2023/07/02 13:46:30 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:46:30 - mmengine - INFO - Epoch(train) [49][94/94] lr: 1.0628e-01 eta: 0:44:45 time: 0.4262 data_time: 0.1708 memory: 1587 grad_norm: 1.4355 loss: 3.7740 top1_acc: 0.2727 top5_acc: 0.5000 loss_cls: 3.7740 2023/07/02 13:46:42 - mmengine - INFO - Epoch(train) [50][20/94] lr: 1.0314e-01 eta: 0:44:35 time: 0.5901 data_time: 0.2296 memory: 1587 grad_norm: 1.3442 loss: 3.6362 top1_acc: 0.2469 top5_acc: 0.5031 loss_cls: 3.6362 2023/07/02 13:46:53 - mmengine - INFO - Epoch(train) [50][40/94] lr: 1.0314e-01 eta: 0:44:23 time: 0.5498 data_time: 0.1988 memory: 1587 grad_norm: 1.3510 loss: 3.6924 top1_acc: 0.2406 top5_acc: 0.4188 loss_cls: 3.6924 2023/07/02 13:47:04 - mmengine - INFO - Epoch(train) [50][60/94] lr: 1.0314e-01 eta: 0:44:12 time: 0.5718 data_time: 0.2039 memory: 1587 grad_norm: 1.3734 loss: 3.7383 top1_acc: 0.2625 top5_acc: 0.4781 loss_cls: 3.7383 2023/07/02 13:47:15 - mmengine - INFO - Epoch(train) [50][80/94] lr: 1.0314e-01 eta: 0:44:01 time: 0.5634 data_time: 0.2021 memory: 1587 grad_norm: 1.3674 loss: 3.7522 top1_acc: 0.2625 top5_acc: 0.4219 loss_cls: 3.7522 2023/07/02 13:47:22 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:47:22 - mmengine - INFO - Epoch(train) [50][94/94] lr: 1.0314e-01 eta: 0:43:52 time: 0.4716 data_time: 0.1859 memory: 1587 grad_norm: 1.4671 loss: 3.7078 top1_acc: 0.2955 top5_acc: 0.5000 loss_cls: 3.7078 2023/07/02 13:47:22 - mmengine - INFO - Saving checkpoint at 50 epochs 2023/07/02 13:47:27 - mmengine - INFO - Epoch(val) [50][8/8] acc/top1: 0.1019 acc/top5: 0.2178 acc/mean1: 0.1016 data_time: 0.1948 time: 0.2656 2023/07/02 13:47:39 - mmengine - INFO - Epoch(train) [51][20/94] lr: 1.0000e-01 eta: 0:43:41 time: 0.5555 data_time: 0.2390 memory: 1587 grad_norm: 1.3659 loss: 3.6767 top1_acc: 0.2469 top5_acc: 0.4313 loss_cls: 3.6767 2023/07/02 13:47:49 - mmengine - INFO - Epoch(train) [51][40/94] lr: 1.0000e-01 eta: 0:43:29 time: 0.5305 data_time: 0.2090 memory: 1587 grad_norm: 1.3643 loss: 3.7072 top1_acc: 0.3063 top5_acc: 0.4906 loss_cls: 3.7072 2023/07/02 13:48:00 - mmengine - INFO - Epoch(train) [51][60/94] lr: 1.0000e-01 eta: 0:43:17 time: 0.5272 data_time: 0.2153 memory: 1587 grad_norm: 1.3874 loss: 3.6844 top1_acc: 0.2844 top5_acc: 0.4938 loss_cls: 3.6844 2023/07/02 13:48:10 - mmengine - INFO - Epoch(train) [51][80/94] lr: 1.0000e-01 eta: 0:43:05 time: 0.5213 data_time: 0.2132 memory: 1587 grad_norm: 1.3962 loss: 3.7081 top1_acc: 0.2344 top5_acc: 0.4094 loss_cls: 3.7081 2023/07/02 13:48:16 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:48:16 - mmengine - INFO - Epoch(train) [51][94/94] lr: 1.0000e-01 eta: 0:42:56 time: 0.4232 data_time: 0.1706 memory: 1587 grad_norm: 1.5244 loss: 3.7405 top1_acc: 0.1591 top5_acc: 0.3409 loss_cls: 3.7405 2023/07/02 13:48:28 - mmengine - INFO - Epoch(train) [52][20/94] lr: 9.6859e-02 eta: 0:42:45 time: 0.6083 data_time: 0.2331 memory: 1587 grad_norm: 1.4193 loss: 3.6156 top1_acc: 0.2594 top5_acc: 0.4531 loss_cls: 3.6156 2023/07/02 13:48:40 - mmengine - INFO - Epoch(train) [52][40/94] lr: 9.6859e-02 eta: 0:42:35 time: 0.5701 data_time: 0.2045 memory: 1587 grad_norm: 1.3926 loss: 3.6419 top1_acc: 0.2656 top5_acc: 0.4531 loss_cls: 3.6419 2023/07/02 13:48:51 - mmengine - INFO - Epoch(train) [52][60/94] lr: 9.6859e-02 eta: 0:42:23 time: 0.5686 data_time: 0.2099 memory: 1587 grad_norm: 1.4126 loss: 3.7059 top1_acc: 0.2437 top5_acc: 0.4531 loss_cls: 3.7059 2023/07/02 13:49:03 - mmengine - INFO - Epoch(train) [52][80/94] lr: 9.6859e-02 eta: 0:42:13 time: 0.5770 data_time: 0.2189 memory: 1587 grad_norm: 1.4207 loss: 3.6944 top1_acc: 0.2750 top5_acc: 0.4531 loss_cls: 3.6944 2023/07/02 13:49:09 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:49:09 - mmengine - INFO - Epoch(train) [52][94/94] lr: 9.6859e-02 eta: 0:42:04 time: 0.4760 data_time: 0.1645 memory: 1587 grad_norm: 1.5379 loss: 3.7417 top1_acc: 0.1591 top5_acc: 0.3182 loss_cls: 3.7417 2023/07/02 13:49:21 - mmengine - INFO - Epoch(train) [53][20/94] lr: 9.3721e-02 eta: 0:41:53 time: 0.6013 data_time: 0.2246 memory: 1587 grad_norm: 1.4428 loss: 3.6431 top1_acc: 0.2594 top5_acc: 0.4562 loss_cls: 3.6431 2023/07/02 13:49:33 - mmengine - INFO - Epoch(train) [53][40/94] lr: 9.3721e-02 eta: 0:41:42 time: 0.5702 data_time: 0.2054 memory: 1587 grad_norm: 1.4238 loss: 3.6224 top1_acc: 0.2875 top5_acc: 0.4500 loss_cls: 3.6224 2023/07/02 13:49:45 - mmengine - INFO - Epoch(train) [53][60/94] lr: 9.3721e-02 eta: 0:41:32 time: 0.5938 data_time: 0.2238 memory: 1587 grad_norm: 1.4038 loss: 3.6313 top1_acc: 0.2656 top5_acc: 0.4656 loss_cls: 3.6313 2023/07/02 13:49:56 - mmengine - INFO - Epoch(train) [53][80/94] lr: 9.3721e-02 eta: 0:41:21 time: 0.5789 data_time: 0.2065 memory: 1587 grad_norm: 1.4362 loss: 3.6821 top1_acc: 0.2750 top5_acc: 0.4313 loss_cls: 3.6821 2023/07/02 13:50:03 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:50:03 - mmengine - INFO - Epoch(train) [53][94/94] lr: 9.3721e-02 eta: 0:41:12 time: 0.4977 data_time: 0.1693 memory: 1587 grad_norm: 1.5762 loss: 3.6739 top1_acc: 0.1364 top5_acc: 0.4545 loss_cls: 3.6739 2023/07/02 13:50:14 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:50:15 - mmengine - INFO - Epoch(train) [54][20/94] lr: 9.0589e-02 eta: 0:41:02 time: 0.6035 data_time: 0.2242 memory: 1587 grad_norm: 1.4649 loss: 3.6255 top1_acc: 0.2906 top5_acc: 0.4750 loss_cls: 3.6255 2023/07/02 13:50:27 - mmengine - INFO - Epoch(train) [54][40/94] lr: 9.0589e-02 eta: 0:40:51 time: 0.5814 data_time: 0.2042 memory: 1587 grad_norm: 1.4536 loss: 3.5892 top1_acc: 0.2562 top5_acc: 0.4562 loss_cls: 3.5892 2023/07/02 13:50:38 - mmengine - INFO - Epoch(train) [54][60/94] lr: 9.0589e-02 eta: 0:40:40 time: 0.5776 data_time: 0.2106 memory: 1587 grad_norm: 1.4579 loss: 3.6013 top1_acc: 0.2750 top5_acc: 0.4656 loss_cls: 3.6013 2023/07/02 13:50:50 - mmengine - INFO - Epoch(train) [54][80/94] lr: 9.0589e-02 eta: 0:40:29 time: 0.5822 data_time: 0.2216 memory: 1587 grad_norm: 1.4786 loss: 3.6184 top1_acc: 0.2844 top5_acc: 0.4781 loss_cls: 3.6184 2023/07/02 13:50:57 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:50:57 - mmengine - INFO - Epoch(train) [54][94/94] lr: 9.0589e-02 eta: 0:40:20 time: 0.4966 data_time: 0.1865 memory: 1587 grad_norm: 1.5905 loss: 3.5995 top1_acc: 0.3864 top5_acc: 0.5909 loss_cls: 3.5995 2023/07/02 13:51:09 - mmengine - INFO - Epoch(train) [55][20/94] lr: 8.7467e-02 eta: 0:40:10 time: 0.6075 data_time: 0.2230 memory: 1587 grad_norm: 1.5139 loss: 3.5829 top1_acc: 0.2687 top5_acc: 0.4531 loss_cls: 3.5829 2023/07/02 13:51:21 - mmengine - INFO - Epoch(train) [55][40/94] lr: 8.7467e-02 eta: 0:39:59 time: 0.5879 data_time: 0.2104 memory: 1587 grad_norm: 1.4732 loss: 3.5896 top1_acc: 0.2625 top5_acc: 0.4625 loss_cls: 3.5896 2023/07/02 13:51:32 - mmengine - INFO - Epoch(train) [55][60/94] lr: 8.7467e-02 eta: 0:39:48 time: 0.5876 data_time: 0.2060 memory: 1587 grad_norm: 1.4827 loss: 3.5888 top1_acc: 0.2719 top5_acc: 0.4406 loss_cls: 3.5888 2023/07/02 13:51:44 - mmengine - INFO - Epoch(train) [55][80/94] lr: 8.7467e-02 eta: 0:39:38 time: 0.5918 data_time: 0.2142 memory: 1587 grad_norm: 1.5055 loss: 3.5992 top1_acc: 0.2594 top5_acc: 0.4625 loss_cls: 3.5992 2023/07/02 13:51:51 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:51:51 - mmengine - INFO - Epoch(train) [55][94/94] lr: 8.7467e-02 eta: 0:39:29 time: 0.5124 data_time: 0.1949 memory: 1587 grad_norm: 1.6316 loss: 3.5931 top1_acc: 0.2045 top5_acc: 0.4091 loss_cls: 3.5931 2023/07/02 13:51:51 - mmengine - INFO - Saving checkpoint at 55 epochs 2023/07/02 13:51:57 - mmengine - INFO - Epoch(val) [55][8/8] acc/top1: 0.1199 acc/top5: 0.2507 acc/mean1: 0.1196 data_time: 0.2290 time: 0.2932 2023/07/02 13:51:57 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_40.pth is removed 2023/07/02 13:51:58 - mmengine - INFO - The best checkpoint with 0.1199 acc/top1 at 55 epoch is saved to best_acc_top1_epoch_55.pth. 2023/07/02 13:52:11 - mmengine - INFO - Epoch(train) [56][20/94] lr: 8.4357e-02 eta: 0:39:19 time: 0.6482 data_time: 0.2325 memory: 1587 grad_norm: 1.5124 loss: 3.5208 top1_acc: 0.2687 top5_acc: 0.4688 loss_cls: 3.5208 2023/07/02 13:52:23 - mmengine - INFO - Epoch(train) [56][40/94] lr: 8.4357e-02 eta: 0:39:09 time: 0.6332 data_time: 0.1942 memory: 1587 grad_norm: 1.5131 loss: 3.5009 top1_acc: 0.3063 top5_acc: 0.4781 loss_cls: 3.5009 2023/07/02 13:52:36 - mmengine - INFO - Epoch(train) [56][60/94] lr: 8.4357e-02 eta: 0:38:59 time: 0.6191 data_time: 0.2102 memory: 1587 grad_norm: 1.5298 loss: 3.5158 top1_acc: 0.2687 top5_acc: 0.4906 loss_cls: 3.5158 2023/07/02 13:52:48 - mmengine - INFO - Epoch(train) [56][80/94] lr: 8.4357e-02 eta: 0:38:49 time: 0.6269 data_time: 0.2071 memory: 1587 grad_norm: 1.5378 loss: 3.5553 top1_acc: 0.3031 top5_acc: 0.5156 loss_cls: 3.5553 2023/07/02 13:52:56 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:52:56 - mmengine - INFO - Epoch(train) [56][94/94] lr: 8.4357e-02 eta: 0:38:41 time: 0.5455 data_time: 0.1603 memory: 1587 grad_norm: 1.6433 loss: 3.5913 top1_acc: 0.1591 top5_acc: 0.4091 loss_cls: 3.5913 2023/07/02 13:53:08 - mmengine - INFO - Epoch(train) [57][20/94] lr: 8.1262e-02 eta: 0:38:30 time: 0.5781 data_time: 0.2178 memory: 1587 grad_norm: 1.5415 loss: 3.5042 top1_acc: 0.2656 top5_acc: 0.4469 loss_cls: 3.5042 2023/07/02 13:53:19 - mmengine - INFO - Epoch(train) [57][40/94] lr: 8.1262e-02 eta: 0:38:19 time: 0.5794 data_time: 0.2118 memory: 1587 grad_norm: 1.5360 loss: 3.5253 top1_acc: 0.2812 top5_acc: 0.4750 loss_cls: 3.5253 2023/07/02 13:53:30 - mmengine - INFO - Epoch(train) [57][60/94] lr: 8.1262e-02 eta: 0:38:08 time: 0.5648 data_time: 0.2096 memory: 1587 grad_norm: 1.5499 loss: 3.5320 top1_acc: 0.2469 top5_acc: 0.4562 loss_cls: 3.5320 2023/07/02 13:53:42 - mmengine - INFO - Epoch(train) [57][80/94] lr: 8.1262e-02 eta: 0:37:57 time: 0.5725 data_time: 0.2074 memory: 1587 grad_norm: 1.5421 loss: 3.5896 top1_acc: 0.2781 top5_acc: 0.4750 loss_cls: 3.5896 2023/07/02 13:53:49 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:53:49 - mmengine - INFO - Epoch(train) [57][94/94] lr: 8.1262e-02 eta: 0:37:48 time: 0.4945 data_time: 0.1808 memory: 1587 grad_norm: 1.6856 loss: 3.5716 top1_acc: 0.2955 top5_acc: 0.5227 loss_cls: 3.5716 2023/07/02 13:54:01 - mmengine - INFO - Epoch(train) [58][20/94] lr: 7.8186e-02 eta: 0:37:37 time: 0.5998 data_time: 0.2321 memory: 1587 grad_norm: 1.5649 loss: 3.5044 top1_acc: 0.2750 top5_acc: 0.4906 loss_cls: 3.5044 2023/07/02 13:54:12 - mmengine - INFO - Epoch(train) [58][40/94] lr: 7.8186e-02 eta: 0:37:26 time: 0.5839 data_time: 0.2043 memory: 1587 grad_norm: 1.5565 loss: 3.4785 top1_acc: 0.2656 top5_acc: 0.4344 loss_cls: 3.4785 2023/07/02 13:54:24 - mmengine - INFO - Epoch(train) [58][60/94] lr: 7.8186e-02 eta: 0:37:15 time: 0.5840 data_time: 0.2196 memory: 1587 grad_norm: 1.5748 loss: 3.5340 top1_acc: 0.2781 top5_acc: 0.4938 loss_cls: 3.5340 2023/07/02 13:54:36 - mmengine - INFO - Epoch(train) [58][80/94] lr: 7.8186e-02 eta: 0:37:05 time: 0.5861 data_time: 0.2067 memory: 1587 grad_norm: 1.5707 loss: 3.5234 top1_acc: 0.2500 top5_acc: 0.4500 loss_cls: 3.5234 2023/07/02 13:54:42 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:54:42 - mmengine - INFO - Epoch(train) [58][94/94] lr: 7.8186e-02 eta: 0:36:56 time: 0.4994 data_time: 0.1938 memory: 1587 grad_norm: 1.7114 loss: 3.5117 top1_acc: 0.2727 top5_acc: 0.4545 loss_cls: 3.5117 2023/07/02 13:54:54 - mmengine - INFO - Epoch(train) [59][20/94] lr: 7.5131e-02 eta: 0:36:45 time: 0.5861 data_time: 0.2290 memory: 1587 grad_norm: 1.6053 loss: 3.4693 top1_acc: 0.2750 top5_acc: 0.4906 loss_cls: 3.4693 2023/07/02 13:55:05 - mmengine - INFO - Epoch(train) [59][40/94] lr: 7.5131e-02 eta: 0:36:34 time: 0.5677 data_time: 0.2161 memory: 1587 grad_norm: 1.5742 loss: 3.4655 top1_acc: 0.2875 top5_acc: 0.5062 loss_cls: 3.4655 2023/07/02 13:55:17 - mmengine - INFO - Epoch(train) [59][60/94] lr: 7.5131e-02 eta: 0:36:23 time: 0.5836 data_time: 0.2107 memory: 1587 grad_norm: 1.5877 loss: 3.4544 top1_acc: 0.2969 top5_acc: 0.4594 loss_cls: 3.4544 2023/07/02 13:55:29 - mmengine - INFO - Epoch(train) [59][80/94] lr: 7.5131e-02 eta: 0:36:12 time: 0.5958 data_time: 0.2221 memory: 1587 grad_norm: 1.6320 loss: 3.5002 top1_acc: 0.2687 top5_acc: 0.5125 loss_cls: 3.5002 2023/07/02 13:55:36 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:55:36 - mmengine - INFO - Epoch(train) [59][94/94] lr: 7.5131e-02 eta: 0:36:04 time: 0.4946 data_time: 0.1874 memory: 1587 grad_norm: 1.7578 loss: 3.4096 top1_acc: 0.2727 top5_acc: 0.5000 loss_cls: 3.4096 2023/07/02 13:55:47 - mmengine - INFO - Epoch(train) [60][20/94] lr: 7.2101e-02 eta: 0:35:52 time: 0.5580 data_time: 0.2335 memory: 1587 grad_norm: 1.6036 loss: 3.3911 top1_acc: 0.3187 top5_acc: 0.5281 loss_cls: 3.3911 2023/07/02 13:55:58 - mmengine - INFO - Epoch(train) [60][40/94] lr: 7.2101e-02 eta: 0:35:41 time: 0.5421 data_time: 0.2028 memory: 1587 grad_norm: 1.5926 loss: 3.4537 top1_acc: 0.3219 top5_acc: 0.5125 loss_cls: 3.4537 2023/07/02 13:56:09 - mmengine - INFO - Epoch(train) [60][60/94] lr: 7.2101e-02 eta: 0:35:29 time: 0.5292 data_time: 0.2095 memory: 1587 grad_norm: 1.6128 loss: 3.4122 top1_acc: 0.3563 top5_acc: 0.5219 loss_cls: 3.4122 2023/07/02 13:56:19 - mmengine - INFO - Epoch(train) [60][80/94] lr: 7.2101e-02 eta: 0:35:18 time: 0.5340 data_time: 0.2028 memory: 1587 grad_norm: 1.6292 loss: 3.5155 top1_acc: 0.3063 top5_acc: 0.4781 loss_cls: 3.5155 2023/07/02 13:56:26 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:56:26 - mmengine - INFO - Epoch(train) [60][94/94] lr: 7.2101e-02 eta: 0:35:09 time: 0.4652 data_time: 0.1591 memory: 1587 grad_norm: 1.7657 loss: 3.4813 top1_acc: 0.2727 top5_acc: 0.4545 loss_cls: 3.4813 2023/07/02 13:56:26 - mmengine - INFO - Saving checkpoint at 60 epochs 2023/07/02 13:56:32 - mmengine - INFO - Epoch(val) [60][8/8] acc/top1: 0.1257 acc/top5: 0.2526 acc/mean1: 0.1254 data_time: 0.2096 time: 0.2817 2023/07/02 13:56:32 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_55.pth is removed 2023/07/02 13:56:32 - mmengine - INFO - The best checkpoint with 0.1257 acc/top1 at 60 epoch is saved to best_acc_top1_epoch_60.pth. 2023/07/02 13:56:44 - mmengine - INFO - Epoch(train) [61][20/94] lr: 6.9098e-02 eta: 0:34:58 time: 0.5824 data_time: 0.2207 memory: 1587 grad_norm: 1.6361 loss: 3.3865 top1_acc: 0.3094 top5_acc: 0.4875 loss_cls: 3.3865 2023/07/02 13:56:55 - mmengine - INFO - Epoch(train) [61][40/94] lr: 6.9098e-02 eta: 0:34:47 time: 0.5682 data_time: 0.2105 memory: 1587 grad_norm: 1.6428 loss: 3.3858 top1_acc: 0.2844 top5_acc: 0.4813 loss_cls: 3.3858 2023/07/02 13:57:07 - mmengine - INFO - Epoch(train) [61][60/94] lr: 6.9098e-02 eta: 0:34:36 time: 0.5782 data_time: 0.2064 memory: 1587 grad_norm: 1.6555 loss: 3.4177 top1_acc: 0.3031 top5_acc: 0.4781 loss_cls: 3.4177 2023/07/02 13:57:19 - mmengine - INFO - Epoch(train) [61][80/94] lr: 6.9098e-02 eta: 0:34:25 time: 0.5845 data_time: 0.2022 memory: 1587 grad_norm: 1.6686 loss: 3.3924 top1_acc: 0.3000 top5_acc: 0.5188 loss_cls: 3.3924 2023/07/02 13:57:25 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:57:25 - mmengine - INFO - Epoch(train) [61][94/94] lr: 6.9098e-02 eta: 0:34:16 time: 0.4815 data_time: 0.1700 memory: 1587 grad_norm: 1.8340 loss: 3.4706 top1_acc: 0.2727 top5_acc: 0.4545 loss_cls: 3.4706 2023/07/02 13:57:37 - mmengine - INFO - Epoch(train) [62][20/94] lr: 6.6126e-02 eta: 0:34:05 time: 0.6007 data_time: 0.2348 memory: 1587 grad_norm: 1.6788 loss: 3.3755 top1_acc: 0.3312 top5_acc: 0.5406 loss_cls: 3.3755 2023/07/02 13:57:49 - mmengine - INFO - Epoch(train) [62][40/94] lr: 6.6126e-02 eta: 0:33:55 time: 0.5935 data_time: 0.2073 memory: 1587 grad_norm: 1.6751 loss: 3.3745 top1_acc: 0.3406 top5_acc: 0.5531 loss_cls: 3.3745 2023/07/02 13:58:01 - mmengine - INFO - Epoch(train) [62][60/94] lr: 6.6126e-02 eta: 0:33:44 time: 0.5889 data_time: 0.2085 memory: 1587 grad_norm: 1.6738 loss: 3.3584 top1_acc: 0.3031 top5_acc: 0.5156 loss_cls: 3.3584 2023/07/02 13:58:13 - mmengine - INFO - Epoch(train) [62][80/94] lr: 6.6126e-02 eta: 0:33:33 time: 0.5843 data_time: 0.2033 memory: 1587 grad_norm: 1.6914 loss: 3.4607 top1_acc: 0.2687 top5_acc: 0.4906 loss_cls: 3.4607 2023/07/02 13:58:19 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:58:19 - mmengine - INFO - Epoch(train) [62][94/94] lr: 6.6126e-02 eta: 0:33:24 time: 0.4875 data_time: 0.1709 memory: 1587 grad_norm: 1.8312 loss: 3.4506 top1_acc: 0.3182 top5_acc: 0.5227 loss_cls: 3.4506 2023/07/02 13:58:32 - mmengine - INFO - Epoch(train) [63][20/94] lr: 6.3188e-02 eta: 0:33:14 time: 0.6089 data_time: 0.2291 memory: 1587 grad_norm: 1.7121 loss: 3.4032 top1_acc: 0.2625 top5_acc: 0.4562 loss_cls: 3.4032 2023/07/02 13:58:43 - mmengine - INFO - Epoch(train) [63][40/94] lr: 6.3188e-02 eta: 0:33:03 time: 0.5775 data_time: 0.1989 memory: 1587 grad_norm: 1.6943 loss: 3.3439 top1_acc: 0.2500 top5_acc: 0.4656 loss_cls: 3.3439 2023/07/02 13:58:55 - mmengine - INFO - Epoch(train) [63][60/94] lr: 6.3188e-02 eta: 0:32:52 time: 0.5963 data_time: 0.2031 memory: 1587 grad_norm: 1.6890 loss: 3.3693 top1_acc: 0.2781 top5_acc: 0.4719 loss_cls: 3.3693 2023/07/02 13:59:07 - mmengine - INFO - Epoch(train) [63][80/94] lr: 6.3188e-02 eta: 0:32:41 time: 0.5851 data_time: 0.1991 memory: 1587 grad_norm: 1.7379 loss: 3.3997 top1_acc: 0.2906 top5_acc: 0.4969 loss_cls: 3.3997 2023/07/02 13:59:14 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 13:59:14 - mmengine - INFO - Epoch(train) [63][94/94] lr: 6.3188e-02 eta: 0:32:32 time: 0.4908 data_time: 0.1944 memory: 1587 grad_norm: 1.9022 loss: 3.3301 top1_acc: 0.2045 top5_acc: 0.4545 loss_cls: 3.3301 2023/07/02 13:59:26 - mmengine - INFO - Epoch(train) [64][20/94] lr: 6.0285e-02 eta: 0:32:22 time: 0.6280 data_time: 0.2273 memory: 1587 grad_norm: 1.7369 loss: 3.3221 top1_acc: 0.3031 top5_acc: 0.4844 loss_cls: 3.3221 2023/07/02 13:59:39 - mmengine - INFO - Epoch(train) [64][40/94] lr: 6.0285e-02 eta: 0:32:11 time: 0.6340 data_time: 0.2125 memory: 1587 grad_norm: 1.7319 loss: 3.2987 top1_acc: 0.2812 top5_acc: 0.4969 loss_cls: 3.2987 2023/07/02 13:59:51 - mmengine - INFO - Epoch(train) [64][60/94] lr: 6.0285e-02 eta: 0:32:01 time: 0.6214 data_time: 0.2000 memory: 1587 grad_norm: 1.7289 loss: 3.3039 top1_acc: 0.2906 top5_acc: 0.4656 loss_cls: 3.3039 2023/07/02 14:00:03 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:00:04 - mmengine - INFO - Epoch(train) [64][80/94] lr: 6.0285e-02 eta: 0:31:50 time: 0.6163 data_time: 0.2017 memory: 1587 grad_norm: 1.7483 loss: 3.3677 top1_acc: 0.3250 top5_acc: 0.5062 loss_cls: 3.3677 2023/07/02 14:00:11 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:00:11 - mmengine - INFO - Epoch(train) [64][94/94] lr: 6.0285e-02 eta: 0:31:42 time: 0.5404 data_time: 0.1850 memory: 1587 grad_norm: 1.9096 loss: 3.3853 top1_acc: 0.2273 top5_acc: 0.4773 loss_cls: 3.3853 2023/07/02 14:00:21 - mmengine - INFO - Epoch(train) [65][20/94] lr: 5.7422e-02 eta: 0:31:30 time: 0.4999 data_time: 0.2314 memory: 1587 grad_norm: 1.7322 loss: 3.2822 top1_acc: 0.3156 top5_acc: 0.5375 loss_cls: 3.2822 2023/07/02 14:00:30 - mmengine - INFO - Epoch(train) [65][40/94] lr: 5.7422e-02 eta: 0:31:18 time: 0.4778 data_time: 0.2108 memory: 1587 grad_norm: 1.7423 loss: 3.2860 top1_acc: 0.3063 top5_acc: 0.5344 loss_cls: 3.2860 2023/07/02 14:00:40 - mmengine - INFO - Epoch(train) [65][60/94] lr: 5.7422e-02 eta: 0:31:06 time: 0.5006 data_time: 0.2139 memory: 1587 grad_norm: 1.7739 loss: 3.3280 top1_acc: 0.3438 top5_acc: 0.5563 loss_cls: 3.3280 2023/07/02 14:00:50 - mmengine - INFO - Epoch(train) [65][80/94] lr: 5.7422e-02 eta: 0:30:54 time: 0.4759 data_time: 0.2194 memory: 1587 grad_norm: 1.7809 loss: 3.3249 top1_acc: 0.3312 top5_acc: 0.5188 loss_cls: 3.3249 2023/07/02 14:00:56 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:00:56 - mmengine - INFO - Epoch(train) [65][94/94] lr: 5.7422e-02 eta: 0:30:45 time: 0.3979 data_time: 0.1827 memory: 1587 grad_norm: 1.9336 loss: 3.3992 top1_acc: 0.2045 top5_acc: 0.5000 loss_cls: 3.3992 2023/07/02 14:00:56 - mmengine - INFO - Saving checkpoint at 65 epochs 2023/07/02 14:01:01 - mmengine - INFO - Epoch(val) [65][8/8] acc/top1: 0.1106 acc/top5: 0.2282 acc/mean1: 0.1103 data_time: 0.2111 time: 0.2902 2023/07/02 14:01:13 - mmengine - INFO - Epoch(train) [66][20/94] lr: 5.4601e-02 eta: 0:30:34 time: 0.5953 data_time: 0.2376 memory: 1587 grad_norm: 1.7832 loss: 3.2198 top1_acc: 0.3344 top5_acc: 0.5375 loss_cls: 3.2198 2023/07/02 14:01:24 - mmengine - INFO - Epoch(train) [66][40/94] lr: 5.4601e-02 eta: 0:30:23 time: 0.5663 data_time: 0.2113 memory: 1587 grad_norm: 1.7655 loss: 3.2200 top1_acc: 0.3219 top5_acc: 0.5188 loss_cls: 3.2200 2023/07/02 14:01:36 - mmengine - INFO - Epoch(train) [66][60/94] lr: 5.4601e-02 eta: 0:30:12 time: 0.5623 data_time: 0.2102 memory: 1587 grad_norm: 1.7873 loss: 3.2386 top1_acc: 0.2969 top5_acc: 0.5469 loss_cls: 3.2386 2023/07/02 14:01:47 - mmengine - INFO - Epoch(train) [66][80/94] lr: 5.4601e-02 eta: 0:30:00 time: 0.5680 data_time: 0.2028 memory: 1587 grad_norm: 1.8142 loss: 3.3121 top1_acc: 0.2906 top5_acc: 0.4844 loss_cls: 3.3121 2023/07/02 14:01:54 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:01:54 - mmengine - INFO - Epoch(train) [66][94/94] lr: 5.4601e-02 eta: 0:29:52 time: 0.4756 data_time: 0.1811 memory: 1587 grad_norm: 1.9868 loss: 3.3181 top1_acc: 0.2955 top5_acc: 0.4773 loss_cls: 3.3181 2023/07/02 14:02:05 - mmengine - INFO - Epoch(train) [67][20/94] lr: 5.1825e-02 eta: 0:29:41 time: 0.5468 data_time: 0.2206 memory: 1587 grad_norm: 1.7890 loss: 3.2275 top1_acc: 0.3094 top5_acc: 0.5062 loss_cls: 3.2275 2023/07/02 14:02:15 - mmengine - INFO - Epoch(train) [67][40/94] lr: 5.1825e-02 eta: 0:29:29 time: 0.5233 data_time: 0.1995 memory: 1587 grad_norm: 1.8168 loss: 3.2379 top1_acc: 0.3469 top5_acc: 0.5344 loss_cls: 3.2379 2023/07/02 14:02:26 - mmengine - INFO - Epoch(train) [67][60/94] lr: 5.1825e-02 eta: 0:29:18 time: 0.5300 data_time: 0.2176 memory: 1587 grad_norm: 1.8372 loss: 3.2359 top1_acc: 0.3000 top5_acc: 0.5000 loss_cls: 3.2359 2023/07/02 14:02:36 - mmengine - INFO - Epoch(train) [67][80/94] lr: 5.1825e-02 eta: 0:29:06 time: 0.5363 data_time: 0.2044 memory: 1587 grad_norm: 1.8501 loss: 3.2653 top1_acc: 0.2750 top5_acc: 0.5031 loss_cls: 3.2653 2023/07/02 14:02:43 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:02:43 - mmengine - INFO - Epoch(train) [67][94/94] lr: 5.1825e-02 eta: 0:28:57 time: 0.4497 data_time: 0.1822 memory: 1587 grad_norm: 2.0002 loss: 3.2794 top1_acc: 0.2273 top5_acc: 0.4318 loss_cls: 3.2794 2023/07/02 14:02:55 - mmengine - INFO - Epoch(train) [68][20/94] lr: 4.9096e-02 eta: 0:28:47 time: 0.5975 data_time: 0.2231 memory: 1587 grad_norm: 1.8123 loss: 3.1497 top1_acc: 0.2906 top5_acc: 0.5281 loss_cls: 3.1497 2023/07/02 14:03:06 - mmengine - INFO - Epoch(train) [68][40/94] lr: 4.9096e-02 eta: 0:28:35 time: 0.5660 data_time: 0.2047 memory: 1587 grad_norm: 1.8391 loss: 3.2015 top1_acc: 0.2969 top5_acc: 0.5125 loss_cls: 3.2015 2023/07/02 14:03:17 - mmengine - INFO - Epoch(train) [68][60/94] lr: 4.9096e-02 eta: 0:28:24 time: 0.5642 data_time: 0.2123 memory: 1587 grad_norm: 1.8545 loss: 3.1629 top1_acc: 0.3187 top5_acc: 0.5500 loss_cls: 3.1629 2023/07/02 14:03:29 - mmengine - INFO - Epoch(train) [68][80/94] lr: 4.9096e-02 eta: 0:28:13 time: 0.5648 data_time: 0.2047 memory: 1587 grad_norm: 1.8616 loss: 3.2184 top1_acc: 0.3688 top5_acc: 0.5750 loss_cls: 3.2184 2023/07/02 14:03:35 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:03:35 - mmengine - INFO - Epoch(train) [68][94/94] lr: 4.9096e-02 eta: 0:28:05 time: 0.4845 data_time: 0.1663 memory: 1587 grad_norm: 2.0505 loss: 3.2722 top1_acc: 0.1818 top5_acc: 0.4318 loss_cls: 3.2722 2023/07/02 14:03:47 - mmengine - INFO - Epoch(train) [69][20/94] lr: 4.6417e-02 eta: 0:27:54 time: 0.5903 data_time: 0.2264 memory: 1587 grad_norm: 1.8667 loss: 3.1958 top1_acc: 0.3063 top5_acc: 0.5344 loss_cls: 3.1958 2023/07/02 14:03:58 - mmengine - INFO - Epoch(train) [69][40/94] lr: 4.6417e-02 eta: 0:27:43 time: 0.5697 data_time: 0.1987 memory: 1587 grad_norm: 1.8769 loss: 3.2132 top1_acc: 0.3406 top5_acc: 0.5219 loss_cls: 3.2132 2023/07/02 14:04:10 - mmengine - INFO - Epoch(train) [69][60/94] lr: 4.6417e-02 eta: 0:27:32 time: 0.5779 data_time: 0.1977 memory: 1587 grad_norm: 1.8591 loss: 3.1904 top1_acc: 0.3281 top5_acc: 0.5375 loss_cls: 3.1904 2023/07/02 14:04:21 - mmengine - INFO - Epoch(train) [69][80/94] lr: 4.6417e-02 eta: 0:27:21 time: 0.5762 data_time: 0.2093 memory: 1587 grad_norm: 1.8905 loss: 3.1625 top1_acc: 0.3906 top5_acc: 0.6156 loss_cls: 3.1625 2023/07/02 14:04:28 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:04:28 - mmengine - INFO - Epoch(train) [69][94/94] lr: 4.6417e-02 eta: 0:27:12 time: 0.4960 data_time: 0.1714 memory: 1587 grad_norm: 2.0697 loss: 3.1904 top1_acc: 0.3636 top5_acc: 0.5455 loss_cls: 3.1904 2023/07/02 14:04:40 - mmengine - INFO - Epoch(train) [70][20/94] lr: 4.3792e-02 eta: 0:27:01 time: 0.6075 data_time: 0.2231 memory: 1587 grad_norm: 1.9093 loss: 3.2056 top1_acc: 0.3156 top5_acc: 0.5406 loss_cls: 3.2056 2023/07/02 14:04:52 - mmengine - INFO - Epoch(train) [70][40/94] lr: 4.3792e-02 eta: 0:26:50 time: 0.5733 data_time: 0.2037 memory: 1587 grad_norm: 1.8827 loss: 3.1520 top1_acc: 0.3250 top5_acc: 0.5281 loss_cls: 3.1520 2023/07/02 14:05:04 - mmengine - INFO - Epoch(train) [70][60/94] lr: 4.3792e-02 eta: 0:26:39 time: 0.5833 data_time: 0.2083 memory: 1587 grad_norm: 1.9017 loss: 3.1342 top1_acc: 0.3438 top5_acc: 0.5406 loss_cls: 3.1342 2023/07/02 14:05:15 - mmengine - INFO - Epoch(train) [70][80/94] lr: 4.3792e-02 eta: 0:26:28 time: 0.5778 data_time: 0.2094 memory: 1587 grad_norm: 1.9131 loss: 3.1471 top1_acc: 0.3625 top5_acc: 0.5687 loss_cls: 3.1471 2023/07/02 14:05:22 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:05:22 - mmengine - INFO - Epoch(train) [70][94/94] lr: 4.3792e-02 eta: 0:26:20 time: 0.4968 data_time: 0.1719 memory: 1587 grad_norm: 2.1007 loss: 3.1771 top1_acc: 0.3409 top5_acc: 0.5682 loss_cls: 3.1771 2023/07/02 14:05:22 - mmengine - INFO - Saving checkpoint at 70 epochs 2023/07/02 14:05:28 - mmengine - INFO - Epoch(val) [70][8/8] acc/top1: 0.0849 acc/top5: 0.1804 acc/mean1: 0.0847 data_time: 0.2359 time: 0.2997 2023/07/02 14:05:39 - mmengine - INFO - Epoch(train) [71][20/94] lr: 4.1221e-02 eta: 0:26:09 time: 0.5689 data_time: 0.2261 memory: 1587 grad_norm: 1.9650 loss: 3.1116 top1_acc: 0.3750 top5_acc: 0.5906 loss_cls: 3.1116 2023/07/02 14:05:51 - mmengine - INFO - Epoch(train) [71][40/94] lr: 4.1221e-02 eta: 0:25:58 time: 0.5776 data_time: 0.1997 memory: 1587 grad_norm: 1.9127 loss: 3.1214 top1_acc: 0.3000 top5_acc: 0.5563 loss_cls: 3.1214 2023/07/02 14:06:02 - mmengine - INFO - Epoch(train) [71][60/94] lr: 4.1221e-02 eta: 0:25:47 time: 0.5642 data_time: 0.2153 memory: 1587 grad_norm: 1.9187 loss: 3.1512 top1_acc: 0.3031 top5_acc: 0.5719 loss_cls: 3.1512 2023/07/02 14:06:13 - mmengine - INFO - Epoch(train) [71][80/94] lr: 4.1221e-02 eta: 0:25:36 time: 0.5688 data_time: 0.2050 memory: 1587 grad_norm: 1.9506 loss: 3.1577 top1_acc: 0.3063 top5_acc: 0.5375 loss_cls: 3.1577 2023/07/02 14:06:20 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:06:20 - mmengine - INFO - Epoch(train) [71][94/94] lr: 4.1221e-02 eta: 0:25:27 time: 0.4734 data_time: 0.1767 memory: 1587 grad_norm: 2.1519 loss: 3.2121 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2121 2023/07/02 14:06:31 - mmengine - INFO - Epoch(train) [72][20/94] lr: 3.8709e-02 eta: 0:25:16 time: 0.5646 data_time: 0.2388 memory: 1587 grad_norm: 1.9771 loss: 3.0907 top1_acc: 0.3500 top5_acc: 0.5375 loss_cls: 3.0907 2023/07/02 14:06:42 - mmengine - INFO - Epoch(train) [72][40/94] lr: 3.8709e-02 eta: 0:25:05 time: 0.5428 data_time: 0.2140 memory: 1587 grad_norm: 1.9563 loss: 3.1114 top1_acc: 0.3563 top5_acc: 0.5375 loss_cls: 3.1114 2023/07/02 14:06:53 - mmengine - INFO - Epoch(train) [72][60/94] lr: 3.8709e-02 eta: 0:24:53 time: 0.5491 data_time: 0.2128 memory: 1587 grad_norm: 1.9469 loss: 3.0819 top1_acc: 0.3500 top5_acc: 0.5656 loss_cls: 3.0819 2023/07/02 14:07:04 - mmengine - INFO - Epoch(train) [72][80/94] lr: 3.8709e-02 eta: 0:24:42 time: 0.5418 data_time: 0.2078 memory: 1587 grad_norm: 1.9850 loss: 3.1379 top1_acc: 0.3750 top5_acc: 0.5687 loss_cls: 3.1379 2023/07/02 14:07:10 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:07:10 - mmengine - INFO - Epoch(train) [72][94/94] lr: 3.8709e-02 eta: 0:24:33 time: 0.4654 data_time: 0.1838 memory: 1587 grad_norm: 2.1703 loss: 3.1357 top1_acc: 0.3182 top5_acc: 0.4545 loss_cls: 3.1357 2023/07/02 14:07:23 - mmengine - INFO - Epoch(train) [73][20/94] lr: 3.6258e-02 eta: 0:24:23 time: 0.6473 data_time: 0.2213 memory: 1587 grad_norm: 1.9756 loss: 3.0320 top1_acc: 0.3875 top5_acc: 0.5969 loss_cls: 3.0320 2023/07/02 14:07:35 - mmengine - INFO - Epoch(train) [73][40/94] lr: 3.6258e-02 eta: 0:24:12 time: 0.6213 data_time: 0.2149 memory: 1587 grad_norm: 1.9661 loss: 3.0561 top1_acc: 0.3250 top5_acc: 0.5781 loss_cls: 3.0561 2023/07/02 14:07:48 - mmengine - INFO - Epoch(train) [73][60/94] lr: 3.6258e-02 eta: 0:24:02 time: 0.6441 data_time: 0.2066 memory: 1587 grad_norm: 1.9730 loss: 3.0338 top1_acc: 0.3594 top5_acc: 0.5813 loss_cls: 3.0338 2023/07/02 14:08:01 - mmengine - INFO - Epoch(train) [73][80/94] lr: 3.6258e-02 eta: 0:23:51 time: 0.6178 data_time: 0.1990 memory: 1587 grad_norm: 2.0154 loss: 3.1071 top1_acc: 0.4188 top5_acc: 0.6156 loss_cls: 3.1071 2023/07/02 14:08:08 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:08:08 - mmengine - INFO - Epoch(train) [73][94/94] lr: 3.6258e-02 eta: 0:23:43 time: 0.5366 data_time: 0.1578 memory: 1587 grad_norm: 2.2017 loss: 3.0488 top1_acc: 0.3409 top5_acc: 0.7045 loss_cls: 3.0488 2023/07/02 14:08:20 - mmengine - INFO - Epoch(train) [74][20/94] lr: 3.3869e-02 eta: 0:23:32 time: 0.6011 data_time: 0.2230 memory: 1587 grad_norm: 1.9891 loss: 3.0158 top1_acc: 0.3688 top5_acc: 0.5844 loss_cls: 3.0158 2023/07/02 14:08:32 - mmengine - INFO - Epoch(train) [74][40/94] lr: 3.3869e-02 eta: 0:23:21 time: 0.5932 data_time: 0.2072 memory: 1587 grad_norm: 2.0223 loss: 3.0550 top1_acc: 0.3312 top5_acc: 0.5750 loss_cls: 3.0550 2023/07/02 14:08:44 - mmengine - INFO - Epoch(train) [74][60/94] lr: 3.3869e-02 eta: 0:23:10 time: 0.5848 data_time: 0.2044 memory: 1587 grad_norm: 2.0280 loss: 3.0553 top1_acc: 0.2969 top5_acc: 0.4906 loss_cls: 3.0553 2023/07/02 14:08:56 - mmengine - INFO - Epoch(train) [74][80/94] lr: 3.3869e-02 eta: 0:22:59 time: 0.5922 data_time: 0.2055 memory: 1587 grad_norm: 2.0332 loss: 3.0357 top1_acc: 0.3937 top5_acc: 0.6000 loss_cls: 3.0357 2023/07/02 14:09:02 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:09:02 - mmengine - INFO - Epoch(train) [74][94/94] lr: 3.3869e-02 eta: 0:22:51 time: 0.4953 data_time: 0.1560 memory: 1587 grad_norm: 2.2254 loss: 3.0110 top1_acc: 0.4091 top5_acc: 0.6136 loss_cls: 3.0110 2023/07/02 14:09:14 - mmengine - INFO - Epoch(train) [75][20/94] lr: 3.1545e-02 eta: 0:22:40 time: 0.5894 data_time: 0.2282 memory: 1587 grad_norm: 2.0326 loss: 3.0449 top1_acc: 0.2875 top5_acc: 0.5031 loss_cls: 3.0449 2023/07/02 14:09:26 - mmengine - INFO - Epoch(train) [75][40/94] lr: 3.1545e-02 eta: 0:22:28 time: 0.5668 data_time: 0.1992 memory: 1587 grad_norm: 2.0162 loss: 2.9616 top1_acc: 0.3656 top5_acc: 0.5875 loss_cls: 2.9616 2023/07/02 14:09:28 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:09:37 - mmengine - INFO - Epoch(train) [75][60/94] lr: 3.1545e-02 eta: 0:22:17 time: 0.5830 data_time: 0.2184 memory: 1587 grad_norm: 2.0322 loss: 2.9358 top1_acc: 0.3812 top5_acc: 0.5906 loss_cls: 2.9358 2023/07/02 14:09:49 - mmengine - INFO - Epoch(train) [75][80/94] lr: 3.1545e-02 eta: 0:22:06 time: 0.5746 data_time: 0.2027 memory: 1587 grad_norm: 2.0559 loss: 3.0515 top1_acc: 0.3125 top5_acc: 0.4938 loss_cls: 3.0515 2023/07/02 14:09:56 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:09:56 - mmengine - INFO - Epoch(train) [75][94/94] lr: 3.1545e-02 eta: 0:21:58 time: 0.4928 data_time: 0.1808 memory: 1587 grad_norm: 2.2542 loss: 3.0670 top1_acc: 0.2727 top5_acc: 0.4545 loss_cls: 3.0670 2023/07/02 14:09:56 - mmengine - INFO - Saving checkpoint at 75 epochs 2023/07/02 14:10:02 - mmengine - INFO - Epoch(val) [75][8/8] acc/top1: 0.1204 acc/top5: 0.2442 acc/mean1: 0.1202 data_time: 0.2207 time: 0.2943 2023/07/02 14:10:14 - mmengine - INFO - Epoch(train) [76][20/94] lr: 2.9289e-02 eta: 0:21:47 time: 0.5948 data_time: 0.2250 memory: 1587 grad_norm: 2.0699 loss: 2.9565 top1_acc: 0.3812 top5_acc: 0.6000 loss_cls: 2.9565 2023/07/02 14:10:25 - mmengine - INFO - Epoch(train) [76][40/94] lr: 2.9289e-02 eta: 0:21:36 time: 0.5684 data_time: 0.2049 memory: 1587 grad_norm: 2.0639 loss: 2.9264 top1_acc: 0.3719 top5_acc: 0.5750 loss_cls: 2.9264 2023/07/02 14:10:36 - mmengine - INFO - Epoch(train) [76][60/94] lr: 2.9289e-02 eta: 0:21:25 time: 0.5744 data_time: 0.2153 memory: 1587 grad_norm: 2.0668 loss: 2.9429 top1_acc: 0.3500 top5_acc: 0.5437 loss_cls: 2.9429 2023/07/02 14:10:48 - mmengine - INFO - Epoch(train) [76][80/94] lr: 2.9289e-02 eta: 0:21:14 time: 0.5749 data_time: 0.2035 memory: 1587 grad_norm: 2.0654 loss: 3.0141 top1_acc: 0.4437 top5_acc: 0.6281 loss_cls: 3.0141 2023/07/02 14:10:55 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:10:55 - mmengine - INFO - Epoch(train) [76][94/94] lr: 2.9289e-02 eta: 0:21:05 time: 0.4832 data_time: 0.1663 memory: 1587 grad_norm: 2.2546 loss: 3.0126 top1_acc: 0.2727 top5_acc: 0.4773 loss_cls: 3.0126 2023/07/02 14:11:07 - mmengine - INFO - Epoch(train) [77][20/94] lr: 2.7103e-02 eta: 0:20:54 time: 0.6181 data_time: 0.2284 memory: 1587 grad_norm: 2.0605 loss: 2.9485 top1_acc: 0.3937 top5_acc: 0.6156 loss_cls: 2.9485 2023/07/02 14:11:19 - mmengine - INFO - Epoch(train) [77][40/94] lr: 2.7103e-02 eta: 0:20:44 time: 0.6002 data_time: 0.2112 memory: 1587 grad_norm: 2.0633 loss: 2.9678 top1_acc: 0.3531 top5_acc: 0.6000 loss_cls: 2.9678 2023/07/02 14:11:31 - mmengine - INFO - Epoch(train) [77][60/94] lr: 2.7103e-02 eta: 0:20:32 time: 0.5928 data_time: 0.2082 memory: 1587 grad_norm: 2.0790 loss: 2.9324 top1_acc: 0.3406 top5_acc: 0.5813 loss_cls: 2.9324 2023/07/02 14:11:43 - mmengine - INFO - Epoch(train) [77][80/94] lr: 2.7103e-02 eta: 0:20:21 time: 0.5938 data_time: 0.2157 memory: 1587 grad_norm: 2.1035 loss: 2.9528 top1_acc: 0.3219 top5_acc: 0.5500 loss_cls: 2.9528 2023/07/02 14:11:49 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:11:49 - mmengine - INFO - Epoch(train) [77][94/94] lr: 2.7103e-02 eta: 0:20:13 time: 0.5081 data_time: 0.1887 memory: 1587 grad_norm: 2.3131 loss: 3.0122 top1_acc: 0.3409 top5_acc: 0.4773 loss_cls: 3.0122 2023/07/02 14:12:01 - mmengine - INFO - Epoch(train) [78][20/94] lr: 2.4989e-02 eta: 0:20:02 time: 0.5937 data_time: 0.2285 memory: 1587 grad_norm: 2.1100 loss: 2.8941 top1_acc: 0.3719 top5_acc: 0.6125 loss_cls: 2.8941 2023/07/02 14:12:13 - mmengine - INFO - Epoch(train) [78][40/94] lr: 2.4989e-02 eta: 0:19:51 time: 0.5723 data_time: 0.2141 memory: 1587 grad_norm: 2.1164 loss: 2.8653 top1_acc: 0.3719 top5_acc: 0.5687 loss_cls: 2.8653 2023/07/02 14:12:24 - mmengine - INFO - Epoch(train) [78][60/94] lr: 2.4989e-02 eta: 0:19:40 time: 0.5569 data_time: 0.2035 memory: 1587 grad_norm: 2.1193 loss: 2.8570 top1_acc: 0.3500 top5_acc: 0.5813 loss_cls: 2.8570 2023/07/02 14:12:35 - mmengine - INFO - Epoch(train) [78][80/94] lr: 2.4989e-02 eta: 0:19:29 time: 0.5614 data_time: 0.2031 memory: 1587 grad_norm: 2.1406 loss: 2.9029 top1_acc: 0.4281 top5_acc: 0.6438 loss_cls: 2.9029 2023/07/02 14:12:42 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:12:42 - mmengine - INFO - Epoch(train) [78][94/94] lr: 2.4989e-02 eta: 0:19:20 time: 0.4861 data_time: 0.1749 memory: 1587 grad_norm: 2.3301 loss: 2.9261 top1_acc: 0.3409 top5_acc: 0.5909 loss_cls: 2.9261 2023/07/02 14:12:52 - mmengine - INFO - Epoch(train) [79][20/94] lr: 2.2949e-02 eta: 0:19:09 time: 0.5148 data_time: 0.2406 memory: 1587 grad_norm: 2.1055 loss: 2.8084 top1_acc: 0.3844 top5_acc: 0.5813 loss_cls: 2.8084 2023/07/02 14:13:02 - mmengine - INFO - Epoch(train) [79][40/94] lr: 2.2949e-02 eta: 0:18:57 time: 0.4999 data_time: 0.2146 memory: 1587 grad_norm: 2.1299 loss: 2.8726 top1_acc: 0.3438 top5_acc: 0.5750 loss_cls: 2.8726 2023/07/02 14:13:12 - mmengine - INFO - Epoch(train) [79][60/94] lr: 2.2949e-02 eta: 0:18:46 time: 0.4884 data_time: 0.2184 memory: 1587 grad_norm: 2.1473 loss: 2.8746 top1_acc: 0.4219 top5_acc: 0.6062 loss_cls: 2.8746 2023/07/02 14:13:22 - mmengine - INFO - Epoch(train) [79][80/94] lr: 2.2949e-02 eta: 0:18:34 time: 0.4968 data_time: 0.2168 memory: 1587 grad_norm: 2.1508 loss: 2.8857 top1_acc: 0.3594 top5_acc: 0.5813 loss_cls: 2.8857 2023/07/02 14:13:28 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:13:28 - mmengine - INFO - Epoch(train) [79][94/94] lr: 2.2949e-02 eta: 0:18:26 time: 0.4299 data_time: 0.1947 memory: 1587 grad_norm: 2.3585 loss: 2.9217 top1_acc: 0.3864 top5_acc: 0.4773 loss_cls: 2.9217 2023/07/02 14:13:40 - mmengine - INFO - Epoch(train) [80][20/94] lr: 2.0984e-02 eta: 0:18:15 time: 0.5926 data_time: 0.2286 memory: 1587 grad_norm: 2.1562 loss: 2.8132 top1_acc: 0.4250 top5_acc: 0.6219 loss_cls: 2.8132 2023/07/02 14:13:51 - mmengine - INFO - Epoch(train) [80][40/94] lr: 2.0984e-02 eta: 0:18:04 time: 0.5811 data_time: 0.2057 memory: 1587 grad_norm: 2.1456 loss: 2.7878 top1_acc: 0.4344 top5_acc: 0.6000 loss_cls: 2.7878 2023/07/02 14:14:03 - mmengine - INFO - Epoch(train) [80][60/94] lr: 2.0984e-02 eta: 0:17:53 time: 0.5826 data_time: 0.2077 memory: 1587 grad_norm: 2.1573 loss: 2.8300 top1_acc: 0.3937 top5_acc: 0.6031 loss_cls: 2.8300 2023/07/02 14:14:15 - mmengine - INFO - Epoch(train) [80][80/94] lr: 2.0984e-02 eta: 0:17:41 time: 0.5850 data_time: 0.1978 memory: 1587 grad_norm: 2.1523 loss: 2.8717 top1_acc: 0.3531 top5_acc: 0.5875 loss_cls: 2.8717 2023/07/02 14:14:21 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:14:21 - mmengine - INFO - Epoch(train) [80][94/94] lr: 2.0984e-02 eta: 0:17:33 time: 0.4967 data_time: 0.1898 memory: 1587 grad_norm: 2.3967 loss: 2.9250 top1_acc: 0.4091 top5_acc: 0.6136 loss_cls: 2.9250 2023/07/02 14:14:21 - mmengine - INFO - Saving checkpoint at 80 epochs 2023/07/02 14:14:27 - mmengine - INFO - Epoch(val) [80][8/8] acc/top1: 0.1240 acc/top5: 0.2537 acc/mean1: 0.1238 data_time: 0.2201 time: 0.2854 2023/07/02 14:14:39 - mmengine - INFO - Epoch(train) [81][20/94] lr: 1.9098e-02 eta: 0:17:22 time: 0.5980 data_time: 0.2284 memory: 1587 grad_norm: 2.1789 loss: 2.8008 top1_acc: 0.3906 top5_acc: 0.6219 loss_cls: 2.8008 2023/07/02 14:14:51 - mmengine - INFO - Epoch(train) [81][40/94] lr: 1.9098e-02 eta: 0:17:11 time: 0.5933 data_time: 0.2097 memory: 1587 grad_norm: 2.1491 loss: 2.8015 top1_acc: 0.3812 top5_acc: 0.6031 loss_cls: 2.8015 2023/07/02 14:15:02 - mmengine - INFO - Epoch(train) [81][60/94] lr: 1.9098e-02 eta: 0:17:00 time: 0.5743 data_time: 0.2093 memory: 1587 grad_norm: 2.1883 loss: 2.8505 top1_acc: 0.3906 top5_acc: 0.6219 loss_cls: 2.8505 2023/07/02 14:15:14 - mmengine - INFO - Epoch(train) [81][80/94] lr: 1.9098e-02 eta: 0:16:49 time: 0.6019 data_time: 0.2141 memory: 1587 grad_norm: 2.1949 loss: 2.8670 top1_acc: 0.4094 top5_acc: 0.5969 loss_cls: 2.8670 2023/07/02 14:15:22 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:15:22 - mmengine - INFO - Epoch(train) [81][94/94] lr: 1.9098e-02 eta: 0:16:41 time: 0.5071 data_time: 0.1802 memory: 1587 grad_norm: 2.4058 loss: 2.8567 top1_acc: 0.2727 top5_acc: 0.5000 loss_cls: 2.8567 2023/07/02 14:15:35 - mmengine - INFO - Epoch(train) [82][20/94] lr: 1.7292e-02 eta: 0:16:30 time: 0.6582 data_time: 0.2388 memory: 1587 grad_norm: 2.1883 loss: 2.8090 top1_acc: 0.4250 top5_acc: 0.6219 loss_cls: 2.8090 2023/07/02 14:15:47 - mmengine - INFO - Epoch(train) [82][40/94] lr: 1.7292e-02 eta: 0:16:19 time: 0.6248 data_time: 0.2092 memory: 1587 grad_norm: 2.1782 loss: 2.8065 top1_acc: 0.4031 top5_acc: 0.6562 loss_cls: 2.8065 2023/07/02 14:16:00 - mmengine - INFO - Epoch(train) [82][60/94] lr: 1.7292e-02 eta: 0:16:08 time: 0.6299 data_time: 0.2093 memory: 1587 grad_norm: 2.1861 loss: 2.8200 top1_acc: 0.4031 top5_acc: 0.6000 loss_cls: 2.8200 2023/07/02 14:16:13 - mmengine - INFO - Epoch(train) [82][80/94] lr: 1.7292e-02 eta: 0:15:58 time: 0.6386 data_time: 0.2017 memory: 1587 grad_norm: 2.2215 loss: 2.8048 top1_acc: 0.3812 top5_acc: 0.6125 loss_cls: 2.8048 2023/07/02 14:16:20 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:16:20 - mmengine - INFO - Epoch(train) [82][94/94] lr: 1.7292e-02 eta: 0:15:50 time: 0.5371 data_time: 0.1995 memory: 1587 grad_norm: 2.4254 loss: 2.7929 top1_acc: 0.4091 top5_acc: 0.6136 loss_cls: 2.7929 2023/07/02 14:16:32 - mmengine - INFO - Epoch(train) [83][20/94] lr: 1.5567e-02 eta: 0:15:38 time: 0.5867 data_time: 0.2285 memory: 1587 grad_norm: 2.1913 loss: 2.7367 top1_acc: 0.4000 top5_acc: 0.6219 loss_cls: 2.7367 2023/07/02 14:16:43 - mmengine - INFO - Epoch(train) [83][40/94] lr: 1.5567e-02 eta: 0:15:27 time: 0.5746 data_time: 0.2192 memory: 1587 grad_norm: 2.1964 loss: 2.7356 top1_acc: 0.4437 top5_acc: 0.6500 loss_cls: 2.7356 2023/07/02 14:16:55 - mmengine - INFO - Epoch(train) [83][60/94] lr: 1.5567e-02 eta: 0:15:16 time: 0.5640 data_time: 0.2086 memory: 1587 grad_norm: 2.2301 loss: 2.7908 top1_acc: 0.4156 top5_acc: 0.6312 loss_cls: 2.7908 2023/07/02 14:17:06 - mmengine - INFO - Epoch(train) [83][80/94] lr: 1.5567e-02 eta: 0:15:05 time: 0.5718 data_time: 0.2083 memory: 1587 grad_norm: 2.2259 loss: 2.7866 top1_acc: 0.4344 top5_acc: 0.6312 loss_cls: 2.7866 2023/07/02 14:17:13 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:17:13 - mmengine - INFO - Epoch(train) [83][94/94] lr: 1.5567e-02 eta: 0:14:57 time: 0.4903 data_time: 0.2018 memory: 1587 grad_norm: 2.4282 loss: 2.7702 top1_acc: 0.3409 top5_acc: 0.6591 loss_cls: 2.7702 2023/07/02 14:17:25 - mmengine - INFO - Epoch(train) [84][20/94] lr: 1.3926e-02 eta: 0:14:46 time: 0.6063 data_time: 0.2260 memory: 1587 grad_norm: 2.2188 loss: 2.7303 top1_acc: 0.4094 top5_acc: 0.5750 loss_cls: 2.7303 2023/07/02 14:17:37 - mmengine - INFO - Epoch(train) [84][40/94] lr: 1.3926e-02 eta: 0:14:35 time: 0.5936 data_time: 0.2129 memory: 1587 grad_norm: 2.2322 loss: 2.7606 top1_acc: 0.4281 top5_acc: 0.6531 loss_cls: 2.7606 2023/07/02 14:17:48 - mmengine - INFO - Epoch(train) [84][60/94] lr: 1.3926e-02 eta: 0:14:23 time: 0.5785 data_time: 0.2066 memory: 1587 grad_norm: 2.2236 loss: 2.7049 top1_acc: 0.4375 top5_acc: 0.6406 loss_cls: 2.7049 2023/07/02 14:18:00 - mmengine - INFO - Epoch(train) [84][80/94] lr: 1.3926e-02 eta: 0:14:12 time: 0.6029 data_time: 0.2160 memory: 1587 grad_norm: 2.2366 loss: 2.7874 top1_acc: 0.4031 top5_acc: 0.6125 loss_cls: 2.7874 2023/07/02 14:18:08 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:18:08 - mmengine - INFO - Epoch(train) [84][94/94] lr: 1.3926e-02 eta: 0:14:04 time: 0.5038 data_time: 0.1750 memory: 1587 grad_norm: 2.4324 loss: 2.6895 top1_acc: 0.4318 top5_acc: 0.6818 loss_cls: 2.6895 2023/07/02 14:18:18 - mmengine - INFO - Epoch(train) [85][20/94] lr: 1.2369e-02 eta: 0:13:53 time: 0.5293 data_time: 0.2362 memory: 1587 grad_norm: 2.2172 loss: 2.6621 top1_acc: 0.4437 top5_acc: 0.6562 loss_cls: 2.6621 2023/07/02 14:18:28 - mmengine - INFO - Epoch(train) [85][40/94] lr: 1.2369e-02 eta: 0:13:42 time: 0.4972 data_time: 0.1976 memory: 1587 grad_norm: 2.2258 loss: 2.7245 top1_acc: 0.4437 top5_acc: 0.6312 loss_cls: 2.7245 2023/07/02 14:18:38 - mmengine - INFO - Epoch(train) [85][60/94] lr: 1.2369e-02 eta: 0:13:30 time: 0.4985 data_time: 0.2020 memory: 1587 grad_norm: 2.2482 loss: 2.7158 top1_acc: 0.4219 top5_acc: 0.6469 loss_cls: 2.7158 2023/07/02 14:18:48 - mmengine - INFO - Epoch(train) [85][80/94] lr: 1.2369e-02 eta: 0:13:19 time: 0.4978 data_time: 0.2066 memory: 1587 grad_norm: 2.2569 loss: 2.6869 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.6869 2023/07/02 14:18:54 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:18:54 - mmengine - INFO - Epoch(train) [85][94/94] lr: 1.2369e-02 eta: 0:13:10 time: 0.4423 data_time: 0.1699 memory: 1587 grad_norm: 2.4656 loss: 2.7376 top1_acc: 0.5000 top5_acc: 0.6818 loss_cls: 2.7376 2023/07/02 14:18:54 - mmengine - INFO - Saving checkpoint at 85 epochs 2023/07/02 14:19:00 - mmengine - INFO - Epoch(val) [85][8/8] acc/top1: 0.1318 acc/top5: 0.2637 acc/mean1: 0.1316 data_time: 0.2355 time: 0.3001 2023/07/02 14:19:00 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_60.pth is removed 2023/07/02 14:19:02 - mmengine - INFO - The best checkpoint with 0.1318 acc/top1 at 85 epoch is saved to best_acc_top1_epoch_85.pth. 2023/07/02 14:19:08 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:19:14 - mmengine - INFO - Epoch(train) [86][20/94] lr: 1.0899e-02 eta: 0:12:59 time: 0.6034 data_time: 0.2253 memory: 1587 grad_norm: 2.2369 loss: 2.6426 top1_acc: 0.3719 top5_acc: 0.5906 loss_cls: 2.6426 2023/07/02 14:19:26 - mmengine - INFO - Epoch(train) [86][40/94] lr: 1.0899e-02 eta: 0:12:48 time: 0.6193 data_time: 0.1998 memory: 1587 grad_norm: 2.2422 loss: 2.7043 top1_acc: 0.3719 top5_acc: 0.6125 loss_cls: 2.7043 2023/07/02 14:19:38 - mmengine - INFO - Epoch(train) [86][60/94] lr: 1.0899e-02 eta: 0:12:37 time: 0.6148 data_time: 0.2066 memory: 1587 grad_norm: 2.2705 loss: 2.7041 top1_acc: 0.4188 top5_acc: 0.6188 loss_cls: 2.7041 2023/07/02 14:19:51 - mmengine - INFO - Epoch(train) [86][80/94] lr: 1.0899e-02 eta: 0:12:26 time: 0.6244 data_time: 0.2186 memory: 1587 grad_norm: 2.2706 loss: 2.6681 top1_acc: 0.4156 top5_acc: 0.6344 loss_cls: 2.6681 2023/07/02 14:19:58 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:19:58 - mmengine - INFO - Epoch(train) [86][94/94] lr: 1.0899e-02 eta: 0:12:18 time: 0.5226 data_time: 0.1889 memory: 1587 grad_norm: 2.5003 loss: 2.7055 top1_acc: 0.4318 top5_acc: 0.6364 loss_cls: 2.7055 2023/07/02 14:20:10 - mmengine - INFO - Epoch(train) [87][20/94] lr: 9.5173e-03 eta: 0:12:07 time: 0.5982 data_time: 0.2283 memory: 1587 grad_norm: 2.2626 loss: 2.6859 top1_acc: 0.3906 top5_acc: 0.5563 loss_cls: 2.6859 2023/07/02 14:20:22 - mmengine - INFO - Epoch(train) [87][40/94] lr: 9.5173e-03 eta: 0:11:56 time: 0.5786 data_time: 0.2014 memory: 1587 grad_norm: 2.2724 loss: 2.6694 top1_acc: 0.4125 top5_acc: 0.6469 loss_cls: 2.6694 2023/07/02 14:20:33 - mmengine - INFO - Epoch(train) [87][60/94] lr: 9.5173e-03 eta: 0:11:45 time: 0.5822 data_time: 0.2101 memory: 1587 grad_norm: 2.2799 loss: 2.6323 top1_acc: 0.4156 top5_acc: 0.6406 loss_cls: 2.6323 2023/07/02 14:20:45 - mmengine - INFO - Epoch(train) [87][80/94] lr: 9.5173e-03 eta: 0:11:34 time: 0.5831 data_time: 0.2120 memory: 1587 grad_norm: 2.2695 loss: 2.6549 top1_acc: 0.4094 top5_acc: 0.6469 loss_cls: 2.6549 2023/07/02 14:20:52 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:20:52 - mmengine - INFO - Epoch(train) [87][94/94] lr: 9.5173e-03 eta: 0:11:26 time: 0.4871 data_time: 0.1749 memory: 1587 grad_norm: 2.4970 loss: 2.6746 top1_acc: 0.3182 top5_acc: 0.5227 loss_cls: 2.6746 2023/07/02 14:21:04 - mmengine - INFO - Epoch(train) [88][20/94] lr: 8.2245e-03 eta: 0:11:15 time: 0.6393 data_time: 0.2348 memory: 1587 grad_norm: 2.2649 loss: 2.6437 top1_acc: 0.4156 top5_acc: 0.6188 loss_cls: 2.6437 2023/07/02 14:21:17 - mmengine - INFO - Epoch(train) [88][40/94] lr: 8.2245e-03 eta: 0:11:04 time: 0.6270 data_time: 0.2013 memory: 1587 grad_norm: 2.2725 loss: 2.6277 top1_acc: 0.4031 top5_acc: 0.6281 loss_cls: 2.6277 2023/07/02 14:21:29 - mmengine - INFO - Epoch(train) [88][60/94] lr: 8.2245e-03 eta: 0:10:53 time: 0.6172 data_time: 0.2026 memory: 1587 grad_norm: 2.2648 loss: 2.6393 top1_acc: 0.4188 top5_acc: 0.6219 loss_cls: 2.6393 2023/07/02 14:21:42 - mmengine - INFO - Epoch(train) [88][80/94] lr: 8.2245e-03 eta: 0:10:42 time: 0.6353 data_time: 0.2076 memory: 1587 grad_norm: 2.2768 loss: 2.6551 top1_acc: 0.4156 top5_acc: 0.6438 loss_cls: 2.6551 2023/07/02 14:21:49 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:21:49 - mmengine - INFO - Epoch(train) [88][94/94] lr: 8.2245e-03 eta: 0:10:34 time: 0.5187 data_time: 0.1629 memory: 1587 grad_norm: 2.5061 loss: 2.6728 top1_acc: 0.3864 top5_acc: 0.5455 loss_cls: 2.6728 2023/07/02 14:22:01 - mmengine - INFO - Epoch(train) [89][20/94] lr: 7.0224e-03 eta: 0:10:22 time: 0.6039 data_time: 0.2226 memory: 1587 grad_norm: 2.2824 loss: 2.6201 top1_acc: 0.4656 top5_acc: 0.7312 loss_cls: 2.6201 2023/07/02 14:22:13 - mmengine - INFO - Epoch(train) [89][40/94] lr: 7.0224e-03 eta: 0:10:11 time: 0.5835 data_time: 0.2111 memory: 1587 grad_norm: 2.2866 loss: 2.6370 top1_acc: 0.4125 top5_acc: 0.6344 loss_cls: 2.6370 2023/07/02 14:22:25 - mmengine - INFO - Epoch(train) [89][60/94] lr: 7.0224e-03 eta: 0:10:00 time: 0.5772 data_time: 0.2092 memory: 1587 grad_norm: 2.2792 loss: 2.5992 top1_acc: 0.4594 top5_acc: 0.6937 loss_cls: 2.5992 2023/07/02 14:22:36 - mmengine - INFO - Epoch(train) [89][80/94] lr: 7.0224e-03 eta: 0:09:49 time: 0.5814 data_time: 0.2095 memory: 1587 grad_norm: 2.3068 loss: 2.6003 top1_acc: 0.4219 top5_acc: 0.6625 loss_cls: 2.6003 2023/07/02 14:22:43 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:22:43 - mmengine - INFO - Epoch(train) [89][94/94] lr: 7.0224e-03 eta: 0:09:41 time: 0.4825 data_time: 0.1630 memory: 1587 grad_norm: 2.5278 loss: 2.6206 top1_acc: 0.4545 top5_acc: 0.6818 loss_cls: 2.6206 2023/07/02 14:22:53 - mmengine - INFO - Epoch(train) [90][20/94] lr: 5.9119e-03 eta: 0:09:29 time: 0.5069 data_time: 0.2322 memory: 1587 grad_norm: 2.2862 loss: 2.6066 top1_acc: 0.4250 top5_acc: 0.6062 loss_cls: 2.6066 2023/07/02 14:23:03 - mmengine - INFO - Epoch(train) [90][40/94] lr: 5.9119e-03 eta: 0:09:18 time: 0.4876 data_time: 0.2157 memory: 1587 grad_norm: 2.2910 loss: 2.6184 top1_acc: 0.4188 top5_acc: 0.6469 loss_cls: 2.6184 2023/07/02 14:23:13 - mmengine - INFO - Epoch(train) [90][60/94] lr: 5.9119e-03 eta: 0:09:07 time: 0.4992 data_time: 0.2200 memory: 1587 grad_norm: 2.2910 loss: 2.6197 top1_acc: 0.4562 top5_acc: 0.6375 loss_cls: 2.6197 2023/07/02 14:23:22 - mmengine - INFO - Epoch(train) [90][80/94] lr: 5.9119e-03 eta: 0:08:55 time: 0.4736 data_time: 0.2095 memory: 1587 grad_norm: 2.2863 loss: 2.6324 top1_acc: 0.4313 top5_acc: 0.6594 loss_cls: 2.6324 2023/07/02 14:23:28 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:23:28 - mmengine - INFO - Epoch(train) [90][94/94] lr: 5.9119e-03 eta: 0:08:47 time: 0.4057 data_time: 0.1738 memory: 1587 grad_norm: 2.5233 loss: 2.6052 top1_acc: 0.4091 top5_acc: 0.6591 loss_cls: 2.6052 2023/07/02 14:23:28 - mmengine - INFO - Saving checkpoint at 90 epochs 2023/07/02 14:23:34 - mmengine - INFO - Epoch(val) [90][8/8] acc/top1: 0.1348 acc/top5: 0.2717 acc/mean1: 0.1347 data_time: 0.2209 time: 0.2835 2023/07/02 14:23:34 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_85.pth is removed 2023/07/02 14:23:35 - mmengine - INFO - The best checkpoint with 0.1348 acc/top1 at 90 epoch is saved to best_acc_top1_epoch_90.pth. 2023/07/02 14:23:46 - mmengine - INFO - Epoch(train) [91][20/94] lr: 4.8943e-03 eta: 0:08:36 time: 0.5383 data_time: 0.2226 memory: 1587 grad_norm: 2.2768 loss: 2.5606 top1_acc: 0.4375 top5_acc: 0.6531 loss_cls: 2.5606 2023/07/02 14:23:57 - mmengine - INFO - Epoch(train) [91][40/94] lr: 4.8943e-03 eta: 0:08:25 time: 0.5288 data_time: 0.1990 memory: 1587 grad_norm: 2.2927 loss: 2.5155 top1_acc: 0.4844 top5_acc: 0.7094 loss_cls: 2.5155 2023/07/02 14:24:07 - mmengine - INFO - Epoch(train) [91][60/94] lr: 4.8943e-03 eta: 0:08:13 time: 0.5346 data_time: 0.2012 memory: 1587 grad_norm: 2.3108 loss: 2.6045 top1_acc: 0.4500 top5_acc: 0.6219 loss_cls: 2.6045 2023/07/02 14:24:18 - mmengine - INFO - Epoch(train) [91][80/94] lr: 4.8943e-03 eta: 0:08:02 time: 0.5401 data_time: 0.2115 memory: 1587 grad_norm: 2.3113 loss: 2.6523 top1_acc: 0.4531 top5_acc: 0.6594 loss_cls: 2.6523 2023/07/02 14:24:24 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:24:24 - mmengine - INFO - Epoch(train) [91][94/94] lr: 4.8943e-03 eta: 0:07:54 time: 0.4442 data_time: 0.1607 memory: 1587 grad_norm: 2.5537 loss: 2.6331 top1_acc: 0.3409 top5_acc: 0.6136 loss_cls: 2.6331 2023/07/02 14:24:38 - mmengine - INFO - Epoch(train) [92][20/94] lr: 3.9706e-03 eta: 0:07:43 time: 0.6549 data_time: 0.2246 memory: 1587 grad_norm: 2.2868 loss: 2.5526 top1_acc: 0.4656 top5_acc: 0.6719 loss_cls: 2.5526 2023/07/02 14:24:50 - mmengine - INFO - Epoch(train) [92][40/94] lr: 3.9706e-03 eta: 0:07:32 time: 0.6113 data_time: 0.2115 memory: 1587 grad_norm: 2.2998 loss: 2.5422 top1_acc: 0.4688 top5_acc: 0.6531 loss_cls: 2.5422 2023/07/02 14:25:02 - mmengine - INFO - Epoch(train) [92][60/94] lr: 3.9706e-03 eta: 0:07:21 time: 0.6285 data_time: 0.2074 memory: 1587 grad_norm: 2.3001 loss: 2.6160 top1_acc: 0.4719 top5_acc: 0.6625 loss_cls: 2.6160 2023/07/02 14:25:15 - mmengine - INFO - Epoch(train) [92][80/94] lr: 3.9706e-03 eta: 0:07:10 time: 0.6359 data_time: 0.2137 memory: 1587 grad_norm: 2.2932 loss: 2.6045 top1_acc: 0.4313 top5_acc: 0.6500 loss_cls: 2.6045 2023/07/02 14:25:22 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:25:22 - mmengine - INFO - Epoch(train) [92][94/94] lr: 3.9706e-03 eta: 0:07:02 time: 0.5437 data_time: 0.1905 memory: 1587 grad_norm: 2.5672 loss: 2.6469 top1_acc: 0.3636 top5_acc: 0.5227 loss_cls: 2.6469 2023/07/02 14:25:33 - mmengine - INFO - Epoch(train) [93][20/94] lr: 3.1417e-03 eta: 0:06:50 time: 0.5410 data_time: 0.2285 memory: 1587 grad_norm: 2.2862 loss: 2.5813 top1_acc: 0.4688 top5_acc: 0.6500 loss_cls: 2.5813 2023/07/02 14:25:44 - mmengine - INFO - Epoch(train) [93][40/94] lr: 3.1417e-03 eta: 0:06:39 time: 0.5379 data_time: 0.2092 memory: 1587 grad_norm: 2.3013 loss: 2.6064 top1_acc: 0.3844 top5_acc: 0.5656 loss_cls: 2.6064 2023/07/02 14:25:55 - mmengine - INFO - Epoch(train) [93][60/94] lr: 3.1417e-03 eta: 0:06:28 time: 0.5468 data_time: 0.2166 memory: 1587 grad_norm: 2.3019 loss: 2.5182 top1_acc: 0.4406 top5_acc: 0.6188 loss_cls: 2.5182 2023/07/02 14:26:06 - mmengine - INFO - Epoch(train) [93][80/94] lr: 3.1417e-03 eta: 0:06:17 time: 0.5336 data_time: 0.2021 memory: 1587 grad_norm: 2.2991 loss: 2.5393 top1_acc: 0.4969 top5_acc: 0.6875 loss_cls: 2.5393 2023/07/02 14:26:12 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:26:12 - mmengine - INFO - Epoch(train) [93][94/94] lr: 3.1417e-03 eta: 0:06:09 time: 0.4740 data_time: 0.1721 memory: 1587 grad_norm: 2.5187 loss: 2.5149 top1_acc: 0.4545 top5_acc: 0.7045 loss_cls: 2.5149 2023/07/02 14:26:24 - mmengine - INFO - Epoch(train) [94][20/94] lr: 2.4083e-03 eta: 0:05:58 time: 0.5832 data_time: 0.2342 memory: 1587 grad_norm: 2.2874 loss: 2.5759 top1_acc: 0.4094 top5_acc: 0.5875 loss_cls: 2.5759 2023/07/02 14:26:35 - mmengine - INFO - Epoch(train) [94][40/94] lr: 2.4083e-03 eta: 0:05:46 time: 0.5602 data_time: 0.2073 memory: 1587 grad_norm: 2.3041 loss: 2.5693 top1_acc: 0.4625 top5_acc: 0.6438 loss_cls: 2.5693 2023/07/02 14:26:47 - mmengine - INFO - Epoch(train) [94][60/94] lr: 2.4083e-03 eta: 0:05:35 time: 0.5819 data_time: 0.2186 memory: 1587 grad_norm: 2.2984 loss: 2.5223 top1_acc: 0.4719 top5_acc: 0.6781 loss_cls: 2.5223 2023/07/02 14:26:58 - mmengine - INFO - Epoch(train) [94][80/94] lr: 2.4083e-03 eta: 0:05:24 time: 0.5703 data_time: 0.2097 memory: 1587 grad_norm: 2.3131 loss: 2.5459 top1_acc: 0.4500 top5_acc: 0.6813 loss_cls: 2.5459 2023/07/02 14:27:05 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:27:05 - mmengine - INFO - Epoch(train) [94][94/94] lr: 2.4083e-03 eta: 0:05:16 time: 0.4823 data_time: 0.1944 memory: 1587 grad_norm: 2.5257 loss: 2.5380 top1_acc: 0.5000 top5_acc: 0.6818 loss_cls: 2.5380 2023/07/02 14:27:17 - mmengine - INFO - Epoch(train) [95][20/94] lr: 1.7713e-03 eta: 0:05:05 time: 0.6058 data_time: 0.2254 memory: 1587 grad_norm: 2.2777 loss: 2.5149 top1_acc: 0.4781 top5_acc: 0.6937 loss_cls: 2.5149 2023/07/02 14:27:28 - mmengine - INFO - Epoch(train) [95][40/94] lr: 1.7713e-03 eta: 0:04:54 time: 0.5744 data_time: 0.2058 memory: 1587 grad_norm: 2.3012 loss: 2.5552 top1_acc: 0.4437 top5_acc: 0.6625 loss_cls: 2.5552 2023/07/02 14:27:40 - mmengine - INFO - Epoch(train) [95][60/94] lr: 1.7713e-03 eta: 0:04:42 time: 0.5930 data_time: 0.2090 memory: 1587 grad_norm: 2.2988 loss: 2.5524 top1_acc: 0.4250 top5_acc: 0.6438 loss_cls: 2.5524 2023/07/02 14:27:52 - mmengine - INFO - Epoch(train) [95][80/94] lr: 1.7713e-03 eta: 0:04:31 time: 0.5787 data_time: 0.2042 memory: 1587 grad_norm: 2.3049 loss: 2.5531 top1_acc: 0.4625 top5_acc: 0.6750 loss_cls: 2.5531 2023/07/02 14:27:58 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:27:58 - mmengine - INFO - Epoch(train) [95][94/94] lr: 1.7713e-03 eta: 0:04:23 time: 0.4905 data_time: 0.1702 memory: 1587 grad_norm: 2.5628 loss: 2.5598 top1_acc: 0.3864 top5_acc: 0.6591 loss_cls: 2.5598 2023/07/02 14:27:58 - mmengine - INFO - Saving checkpoint at 95 epochs 2023/07/02 14:28:04 - mmengine - INFO - Epoch(val) [95][8/8] acc/top1: 0.1373 acc/top5: 0.2725 acc/mean1: 0.1372 data_time: 0.2149 time: 0.2862 2023/07/02 14:28:04 - mmengine - INFO - The previous best checkpoint /mnt/workspace/daiwenxun/mmlab/mmaction2/work_dirs/tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature/best_acc_top1_epoch_90.pth is removed 2023/07/02 14:28:05 - mmengine - INFO - The best checkpoint with 0.1373 acc/top1 at 95 epoch is saved to best_acc_top1_epoch_95.pth. 2023/07/02 14:28:16 - mmengine - INFO - Epoch(train) [96][20/94] lr: 1.2312e-03 eta: 0:04:12 time: 0.5545 data_time: 0.2187 memory: 1587 grad_norm: 2.2940 loss: 2.5655 top1_acc: 0.4219 top5_acc: 0.6344 loss_cls: 2.5655 2023/07/02 14:28:28 - mmengine - INFO - Epoch(train) [96][40/94] lr: 1.2312e-03 eta: 0:04:01 time: 0.5728 data_time: 0.1904 memory: 1587 grad_norm: 2.3013 loss: 2.5618 top1_acc: 0.4094 top5_acc: 0.6156 loss_cls: 2.5618 2023/07/02 14:28:39 - mmengine - INFO - Epoch(train) [96][60/94] lr: 1.2312e-03 eta: 0:03:50 time: 0.5586 data_time: 0.2049 memory: 1587 grad_norm: 2.2977 loss: 2.5437 top1_acc: 0.4688 top5_acc: 0.6656 loss_cls: 2.5437 2023/07/02 14:28:45 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:28:50 - mmengine - INFO - Epoch(train) [96][80/94] lr: 1.2312e-03 eta: 0:03:38 time: 0.5637 data_time: 0.2149 memory: 1587 grad_norm: 2.2933 loss: 2.5271 top1_acc: 0.4562 top5_acc: 0.6500 loss_cls: 2.5271 2023/07/02 14:28:57 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:28:57 - mmengine - INFO - Epoch(train) [96][94/94] lr: 1.2312e-03 eta: 0:03:30 time: 0.4862 data_time: 0.1850 memory: 1587 grad_norm: 2.5441 loss: 2.5603 top1_acc: 0.4091 top5_acc: 0.6818 loss_cls: 2.5603 2023/07/02 14:29:09 - mmengine - INFO - Epoch(train) [97][20/94] lr: 7.8853e-04 eta: 0:03:19 time: 0.5931 data_time: 0.2325 memory: 1587 grad_norm: 2.2963 loss: 2.5216 top1_acc: 0.4406 top5_acc: 0.6719 loss_cls: 2.5216 2023/07/02 14:29:20 - mmengine - INFO - Epoch(train) [97][40/94] lr: 7.8853e-04 eta: 0:03:08 time: 0.5739 data_time: 0.2153 memory: 1587 grad_norm: 2.2803 loss: 2.5021 top1_acc: 0.4750 top5_acc: 0.6781 loss_cls: 2.5021 2023/07/02 14:29:32 - mmengine - INFO - Epoch(train) [97][60/94] lr: 7.8853e-04 eta: 0:02:57 time: 0.5931 data_time: 0.2127 memory: 1587 grad_norm: 2.3052 loss: 2.5668 top1_acc: 0.4656 top5_acc: 0.6781 loss_cls: 2.5668 2023/07/02 14:29:44 - mmengine - INFO - Epoch(train) [97][80/94] lr: 7.8853e-04 eta: 0:02:46 time: 0.5714 data_time: 0.2047 memory: 1587 grad_norm: 2.3030 loss: 2.5589 top1_acc: 0.4781 top5_acc: 0.7219 loss_cls: 2.5589 2023/07/02 14:29:51 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:29:51 - mmengine - INFO - Epoch(train) [97][94/94] lr: 7.8853e-04 eta: 0:02:38 time: 0.5080 data_time: 0.1978 memory: 1587 grad_norm: 2.5306 loss: 2.5040 top1_acc: 0.4091 top5_acc: 0.6136 loss_cls: 2.5040 2023/07/02 14:30:02 - mmengine - INFO - Epoch(train) [98][20/94] lr: 4.4380e-04 eta: 0:02:27 time: 0.5570 data_time: 0.2353 memory: 1587 grad_norm: 2.2770 loss: 2.4894 top1_acc: 0.4938 top5_acc: 0.6813 loss_cls: 2.4894 2023/07/02 14:30:13 - mmengine - INFO - Epoch(train) [98][40/94] lr: 4.4380e-04 eta: 0:02:15 time: 0.5354 data_time: 0.2054 memory: 1587 grad_norm: 2.2971 loss: 2.5568 top1_acc: 0.4344 top5_acc: 0.6656 loss_cls: 2.5568 2023/07/02 14:30:23 - mmengine - INFO - Epoch(train) [98][60/94] lr: 4.4380e-04 eta: 0:02:04 time: 0.5232 data_time: 0.1970 memory: 1587 grad_norm: 2.3075 loss: 2.5371 top1_acc: 0.4313 top5_acc: 0.6469 loss_cls: 2.5371 2023/07/02 14:30:34 - mmengine - INFO - Epoch(train) [98][80/94] lr: 4.4380e-04 eta: 0:01:53 time: 0.5326 data_time: 0.2115 memory: 1587 grad_norm: 2.2981 loss: 2.5400 top1_acc: 0.3937 top5_acc: 0.6500 loss_cls: 2.5400 2023/07/02 14:30:40 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:30:40 - mmengine - INFO - Epoch(train) [98][94/94] lr: 4.4380e-04 eta: 0:01:45 time: 0.4587 data_time: 0.1859 memory: 1587 grad_norm: 2.5061 loss: 2.4894 top1_acc: 0.3636 top5_acc: 0.6364 loss_cls: 2.4894 2023/07/02 14:30:50 - mmengine - INFO - Epoch(train) [99][20/94] lr: 1.9733e-04 eta: 0:01:34 time: 0.4993 data_time: 0.2439 memory: 1587 grad_norm: 2.2830 loss: 2.5570 top1_acc: 0.4500 top5_acc: 0.6625 loss_cls: 2.5570 2023/07/02 14:31:00 - mmengine - INFO - Epoch(train) [99][40/94] lr: 1.9733e-04 eta: 0:01:22 time: 0.4836 data_time: 0.2263 memory: 1587 grad_norm: 2.2781 loss: 2.4811 top1_acc: 0.4406 top5_acc: 0.6844 loss_cls: 2.4811 2023/07/02 14:31:09 - mmengine - INFO - Epoch(train) [99][60/94] lr: 1.9733e-04 eta: 0:01:11 time: 0.4877 data_time: 0.2268 memory: 1587 grad_norm: 2.2811 loss: 2.5007 top1_acc: 0.4625 top5_acc: 0.6656 loss_cls: 2.5007 2023/07/02 14:31:19 - mmengine - INFO - Epoch(train) [99][80/94] lr: 1.9733e-04 eta: 0:01:00 time: 0.4965 data_time: 0.2270 memory: 1587 grad_norm: 2.2913 loss: 2.5143 top1_acc: 0.5031 top5_acc: 0.7188 loss_cls: 2.5143 2023/07/02 14:31:25 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:31:25 - mmengine - INFO - Epoch(train) [99][94/94] lr: 1.9733e-04 eta: 0:00:52 time: 0.4276 data_time: 0.1714 memory: 1587 grad_norm: 2.5090 loss: 2.5238 top1_acc: 0.4773 top5_acc: 0.5682 loss_cls: 2.5238 2023/07/02 14:31:37 - mmengine - INFO - Epoch(train) [100][20/94] lr: 4.9344e-05 eta: 0:00:41 time: 0.5641 data_time: 0.2291 memory: 1587 grad_norm: 2.3038 loss: 2.5135 top1_acc: 0.4719 top5_acc: 0.6687 loss_cls: 2.5135 2023/07/02 14:31:47 - mmengine - INFO - Epoch(train) [100][40/94] lr: 4.9344e-05 eta: 0:00:30 time: 0.5256 data_time: 0.2020 memory: 1587 grad_norm: 2.2915 loss: 2.5046 top1_acc: 0.4688 top5_acc: 0.7063 loss_cls: 2.5046 2023/07/02 14:31:58 - mmengine - INFO - Epoch(train) [100][60/94] lr: 4.9344e-05 eta: 0:00:19 time: 0.5366 data_time: 0.2041 memory: 1587 grad_norm: 2.2984 loss: 2.5329 top1_acc: 0.4313 top5_acc: 0.6562 loss_cls: 2.5329 2023/07/02 14:32:09 - mmengine - INFO - Epoch(train) [100][80/94] lr: 4.9344e-05 eta: 0:00:07 time: 0.5364 data_time: 0.2115 memory: 1587 grad_norm: 2.2855 loss: 2.5008 top1_acc: 0.4844 top5_acc: 0.6562 loss_cls: 2.5008 2023/07/02 14:32:15 - mmengine - INFO - Exp name: tsn_r18_8xb320-64x1x1-100e_kinetics400-audio-feature_20230702_130220 2023/07/02 14:32:15 - mmengine - INFO - Epoch(train) [100][94/94] lr: 4.9344e-05 eta: 0:00:00 time: 0.4572 data_time: 0.1821 memory: 1587 grad_norm: 2.5392 loss: 2.5476 top1_acc: 0.3864 top5_acc: 0.5682 loss_cls: 2.5476 2023/07/02 14:32:15 - mmengine - INFO - Saving checkpoint at 100 epochs 2023/07/02 14:32:21 - mmengine - INFO - Epoch(val) [100][8/8] acc/top1: 0.1356 acc/top5: 0.2731 acc/mean1: 0.1354 data_time: 0.2277 time: 0.2917