2021-06-05 18:27:22,361 - mmaction - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.6 (default, Jan 8 2020, 19:59:22) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: GeForce GTX 1080 Ti CUDA_HOME: /mnt/lustrenvme/share/polaris/dep/cuda-9.0-cudnn7.6.5 NVCC: Cuda compilation tools, release 9.0, V9.0.176 GCC: gcc (GCC) 5.4.0 PyTorch: 1.5.0 PyTorch compiling details: PyTorch built with: - GCC 5.4 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.1 Product Build 20200208 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 912ce228837d1ce28e1a61806118835de03f5751) - OpenMP 201307 (a.k.a. OpenMP 4.0) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 9.0 - NVCC architecture flags: -gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_70,code=compute_70 - CuDNN 7.6.5 - Magma 2.5.0 - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DNDEBUG -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DUSE_INTERNAL_THREADPOOL_IMPL -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=ON, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, TorchVision: 0.6.0 OpenCV: 4.2.0 MMCV: 1.3.1 MMCV Compiler: GCC 5.4 MMCV CUDA Compiler: 9.0 MMAction2: 0.15.0+985d284 ------------------------------------------------------------ 2021-06-05 18:27:22,362 - mmaction - INFO - Distributed training: True 2021-06-05 18:27:23,388 - mmaction - INFO - Config: model = dict( type='Recognizer2D', backbone=dict( type='ResNetTSM', pretrained='torchvision://resnet50', depth=50, norm_eval=False, shift_div=8, num_segments=16), cls_head=dict( type='TSMHead', num_classes=101, in_channels=2048, spatial_type='avg', consensus=dict(type='AvgConsensus', dim=1), dropout_ratio=0.5, init_std=0.001, is_shift=True, num_segments=16), train_cfg=None, test_cfg=dict(average_clips='prob')) optimizer = dict( type='SGD', constructor='TSMOptimizerConstructor', paramwise_cfg=dict(fc_lr5=True), lr=0.00075, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=dict(max_norm=20, norm_type=2)) lr_config = dict(policy='step', step=[10, 20]) total_epochs = 25 checkpoint_config = dict(interval=1) log_config = dict(interval=20, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = 'https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x16_50e_kinetics400_rgb/tsm_r50_256p_1x1x16_50e_kinetics400_rgb_20201010-85645c2a.pth' resume_from = None workflow = [('train', 1)] split = 1 dataset_type = 'RawframeDataset' data_root = 'data/ucf101/rawframes_train' data_root_val = 'data/ucf101/rawframes_val' ann_file_train = 'data/ucf101/ucf101_train_split_1_rawframes.txt' ann_file_val = 'data/ucf101/ucf101_val_split_1_rawframes.txt' ann_file_test = 'data/ucf101/ucf101_val_split_1_rawframes.txt' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False) mc_cfg = dict( server_list_cfg='/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3') train_pipeline = [ dict(type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16), dict( type='RawFrameDecode', io_backend='memcached', server_list_cfg='/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3'), dict(type='Resize', scale=(-1, 256)), dict( type='MultiScaleCrop', input_size=224, scales=(1, 0.875, 0.75, 0.66), random_crop=False, max_wh_scale_gap=1, num_fixed_crops=13), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ] val_pipeline = [ dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict( type='RawFrameDecode', io_backend='memcached', server_list_cfg='/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ] test_pipeline = [ dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict( type='RawFrameDecode', io_backend='memcached', server_list_cfg='/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ] data = dict( videos_per_gpu=6, workers_per_gpu=4, train=dict( type='RawframeDataset', ann_file='data/ucf101/ucf101_train_split_1_rawframes.txt', data_prefix='data/ucf101/rawframes_train', pipeline=[ dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16), dict( type='RawFrameDecode', io_backend='memcached', server_list_cfg= '/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3'), dict(type='Resize', scale=(-1, 256)), dict( type='MultiScaleCrop', input_size=224, scales=(1, 0.875, 0.75, 0.66), random_crop=False, max_wh_scale_gap=1, num_fixed_crops=13), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ]), val=dict( type='RawframeDataset', ann_file='data/ucf101/ucf101_val_split_1_rawframes.txt', data_prefix='data/ucf101/rawframes_val', pipeline=[ dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict( type='RawFrameDecode', io_backend='memcached', server_list_cfg= '/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ]), test=dict( type='RawframeDataset', ann_file='data/ucf101/ucf101_val_split_1_rawframes.txt', data_prefix='data/ucf101/rawframes_val', pipeline=[ dict( type='SampleFrames', clip_len=1, frame_interval=1, num_clips=16, test_mode=True), dict( type='RawFrameDecode', io_backend='memcached', server_list_cfg= '/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=224), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ])) evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy']) work_dir = './work_dirs/tsm_r50_1x1x16_25e_ucf101_rgb/' gpu_ids = range(0, 8) omnisource = False module_hooks = [] 2021-06-05 18:27:41,445 - mmaction - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2021-06-05 18:27:43,429 - mmaction - INFO - load checkpoint from https://download.openmmlab.com/mmaction/recognition/tsm/tsm_r50_256p_1x1x16_50e_kinetics400_rgb/tsm_r50_256p_1x1x16_50e_kinetics400_rgb_20201010-85645c2a.pth 2021-06-05 18:27:43,429 - mmaction - INFO - Use load_from_http loader 2021-06-05 18:27:43,993 - mmaction - WARNING - The model and loaded state dict do not match exactly size mismatch for cls_head.fc_cls.weight: copying a param with shape torch.Size([400, 2048]) from checkpoint, the shape in current model is torch.Size([101, 2048]). size mismatch for cls_head.fc_cls.bias: copying a param with shape torch.Size([400]) from checkpoint, the shape in current model is torch.Size([101]). 2021-06-05 18:27:43,995 - mmaction - INFO - Start running, host: linjintao@SH-IDC1-10-5-30-108, work_dir: /mnt/lustre/linjintao/try/mmaction2_dev/work_dirs/tsm_r50_1x1x16_25e_ucf101_rgb 2021-06-05 18:27:43,995 - mmaction - INFO - workflow: [('train', 1)], max: 25 epochs 2021-06-05 18:35:33,234 - mmaction - INFO - Epoch [1][20/199] lr: 7.500e-04, eta: 1 day, 8:17:14, time: 23.458, data_time: 22.268, memory: 10389, top1_acc: 0.1177, top5_acc: 0.2240, loss_cls: 4.5514, loss: 4.5514, grad_norm: 2.2149 2021-06-05 18:35:49,206 - mmaction - INFO - Epoch [1][40/199] lr: 7.500e-04, eta: 16:37:41, time: 0.802, data_time: 0.006, memory: 10389, top1_acc: 0.2437, top5_acc: 0.4406, loss_cls: 4.2621, loss: 4.2621, grad_norm: 2.3130 2021-06-05 18:36:05,175 - mmaction - INFO - Epoch [1][60/199] lr: 7.500e-04, eta: 11:24:13, time: 0.799, data_time: 0.001, memory: 10389, top1_acc: 0.3375, top5_acc: 0.5865, loss_cls: 3.9603, loss: 3.9603, grad_norm: 2.5060 2021-06-05 18:36:21,241 - mmaction - INFO - Epoch [1][80/199] lr: 7.500e-04, eta: 8:47:28, time: 0.803, data_time: 0.001, memory: 10389, top1_acc: 0.5344, top5_acc: 0.7646, loss_cls: 3.6071, loss: 3.6071, grad_norm: 2.6689 2021-06-05 18:36:37,616 - mmaction - INFO - Epoch [1][100/199] lr: 7.500e-04, eta: 7:13:33, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.6281, top5_acc: 0.8771, loss_cls: 3.2038, loss: 3.2038, grad_norm: 2.8206 2021-06-05 18:36:54,011 - mmaction - INFO - Epoch [1][120/199] lr: 7.500e-04, eta: 6:10:52, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.6677, top5_acc: 0.9198, loss_cls: 2.7994, loss: 2.7994, grad_norm: 2.9439 2021-06-05 18:37:10,826 - mmaction - INFO - Epoch [1][140/199] lr: 7.500e-04, eta: 5:26:15, time: 0.841, data_time: 0.001, memory: 10389, top1_acc: 0.7208, top5_acc: 0.9344, loss_cls: 2.4786, loss: 2.4786, grad_norm: 2.9950 2021-06-05 18:37:27,794 - mmaction - INFO - Epoch [1][160/199] lr: 7.500e-04, eta: 4:52:48, time: 0.848, data_time: 0.001, memory: 10389, top1_acc: 0.7760, top5_acc: 0.9510, loss_cls: 2.1662, loss: 2.1662, grad_norm: 3.0063 2021-06-05 18:37:45,821 - mmaction - INFO - Epoch [1][180/199] lr: 7.500e-04, eta: 4:27:11, time: 0.901, data_time: 0.001, memory: 10389, top1_acc: 0.7698, top5_acc: 0.9646, loss_cls: 1.8609, loss: 1.8609, grad_norm: 2.9858 2021-06-05 18:38:07,033 - mmaction - INFO - Saving checkpoint at 1 epochs 2021-06-05 18:45:49,112 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 18:45:49,191 - mmaction - INFO - top1_acc 0.8401 top5_acc 0.9844 2021-06-05 18:45:49,191 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 18:45:49,251 - mmaction - INFO - mean_acc 0.8299 2021-06-05 18:45:50,110 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_1.pth. 2021-06-05 18:45:50,111 - mmaction - INFO - Best top1_acc is 0.8401 at 1 epoch. 2021-06-05 18:45:50,112 - mmaction - INFO - Epoch(val) [1][199] top1_acc: 0.8401, top5_acc: 0.9844, mean_class_accuracy: 0.8299 2021-06-05 18:52:47,637 - mmaction - INFO - Epoch [2][20/199] lr: 7.500e-04, eta: 6:08:54, time: 20.872, data_time: 19.979, memory: 10389, top1_acc: 0.8583, top5_acc: 0.9844, loss_cls: 1.4682, loss: 1.4682, grad_norm: 2.9913 2021-06-05 18:53:03,554 - mmaction - INFO - Epoch [2][40/199] lr: 7.500e-04, eta: 5:41:53, time: 0.797, data_time: 0.004, memory: 10389, top1_acc: 0.8469, top5_acc: 0.9802, loss_cls: 1.3293, loss: 1.3293, grad_norm: 2.8754 2021-06-05 18:53:19,575 - mmaction - INFO - Epoch [2][60/199] lr: 7.500e-04, eta: 5:19:00, time: 0.799, data_time: 0.001, memory: 10389, top1_acc: 0.8719, top5_acc: 0.9781, loss_cls: 1.1869, loss: 1.1869, grad_norm: 2.8291 2021-06-05 18:53:35,710 - mmaction - INFO - Epoch [2][80/199] lr: 7.500e-04, eta: 4:59:25, time: 0.808, data_time: 0.004, memory: 10389, top1_acc: 0.8583, top5_acc: 0.9833, loss_cls: 1.1470, loss: 1.1470, grad_norm: 2.8018 2021-06-05 18:53:52,090 - mmaction - INFO - Epoch [2][100/199] lr: 7.500e-04, eta: 4:42:28, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.8625, top5_acc: 0.9875, loss_cls: 1.0590, loss: 1.0590, grad_norm: 2.8826 2021-06-05 18:54:08,556 - mmaction - INFO - Epoch [2][120/199] lr: 7.500e-04, eta: 4:27:37, time: 0.823, data_time: 0.002, memory: 10389, top1_acc: 0.8688, top5_acc: 0.9792, loss_cls: 1.0010, loss: 1.0010, grad_norm: 2.8476 2021-06-05 18:54:25,119 - mmaction - INFO - Epoch [2][140/199] lr: 7.500e-04, eta: 4:14:32, time: 0.828, data_time: 0.001, memory: 10389, top1_acc: 0.8823, top5_acc: 0.9896, loss_cls: 0.9025, loss: 0.9025, grad_norm: 2.8097 2021-06-05 18:54:42,038 - mmaction - INFO - Epoch [2][160/199] lr: 7.500e-04, eta: 4:02:56, time: 0.846, data_time: 0.001, memory: 10389, top1_acc: 0.8896, top5_acc: 0.9802, loss_cls: 0.8615, loss: 0.8615, grad_norm: 2.8561 2021-06-05 18:54:59,491 - mmaction - INFO - Epoch [2][180/199] lr: 7.500e-04, eta: 3:52:39, time: 0.873, data_time: 0.001, memory: 10389, top1_acc: 0.8844, top5_acc: 0.9844, loss_cls: 0.8340, loss: 0.8340, grad_norm: 2.7896 2021-06-05 18:55:20,734 - mmaction - INFO - Saving checkpoint at 2 epochs 2021-06-05 19:02:39,739 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 19:02:39,806 - mmaction - INFO - top1_acc 0.8943 top5_acc 0.9937 2021-06-05 19:02:39,806 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 19:02:39,860 - mmaction - INFO - mean_acc 0.8926 2021-06-05 19:02:40,724 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_2.pth. 2021-06-05 19:02:40,725 - mmaction - INFO - Best top1_acc is 0.8943 at 2 epoch. 2021-06-05 19:02:40,726 - mmaction - INFO - Epoch(val) [2][199] top1_acc: 0.8943, top5_acc: 0.9937, mean_class_accuracy: 0.8926 2021-06-05 19:10:18,224 - mmaction - INFO - Epoch [3][20/199] lr: 7.500e-04, eta: 4:52:16, time: 22.873, data_time: 21.953, memory: 10389, top1_acc: 0.8969, top5_acc: 0.9885, loss_cls: 0.7297, loss: 0.7297, grad_norm: 2.6827 2021-06-05 19:10:34,176 - mmaction - INFO - Epoch [3][40/199] lr: 7.500e-04, eta: 4:40:28, time: 0.799, data_time: 0.003, memory: 10389, top1_acc: 0.9104, top5_acc: 0.9896, loss_cls: 0.6603, loss: 0.6603, grad_norm: 2.5834 2021-06-05 19:10:50,128 - mmaction - INFO - Epoch [3][60/199] lr: 7.500e-04, eta: 4:29:39, time: 0.797, data_time: 0.001, memory: 10389, top1_acc: 0.8990, top5_acc: 0.9885, loss_cls: 0.6617, loss: 0.6617, grad_norm: 2.5643 2021-06-05 19:11:06,167 - mmaction - INFO - Epoch [3][80/199] lr: 7.500e-04, eta: 4:19:44, time: 0.802, data_time: 0.001, memory: 10389, top1_acc: 0.9021, top5_acc: 0.9896, loss_cls: 0.6275, loss: 0.6275, grad_norm: 2.6980 2021-06-05 19:11:22,558 - mmaction - INFO - Epoch [3][100/199] lr: 7.500e-04, eta: 4:10:39, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.8885, top5_acc: 0.9833, loss_cls: 0.6702, loss: 0.6702, grad_norm: 2.7074 2021-06-05 19:11:38,965 - mmaction - INFO - Epoch [3][120/199] lr: 7.500e-04, eta: 4:02:15, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.9146, top5_acc: 0.9917, loss_cls: 0.5796, loss: 0.5796, grad_norm: 2.5390 2021-06-05 19:11:55,659 - mmaction - INFO - Epoch [3][140/199] lr: 7.500e-04, eta: 3:54:30, time: 0.835, data_time: 0.002, memory: 10389, top1_acc: 0.9167, top5_acc: 0.9927, loss_cls: 0.5751, loss: 0.5751, grad_norm: 2.5334 2021-06-05 19:12:12,489 - mmaction - INFO - Epoch [3][160/199] lr: 7.500e-04, eta: 3:47:17, time: 0.841, data_time: 0.001, memory: 10389, top1_acc: 0.9354, top5_acc: 0.9948, loss_cls: 0.4972, loss: 0.4972, grad_norm: 2.3870 2021-06-05 19:12:29,298 - mmaction - INFO - Epoch [3][180/199] lr: 7.500e-04, eta: 3:40:34, time: 0.841, data_time: 0.001, memory: 10389, top1_acc: 0.9271, top5_acc: 0.9927, loss_cls: 0.5193, loss: 0.5193, grad_norm: 2.4784 2021-06-05 19:12:50,378 - mmaction - INFO - Saving checkpoint at 3 epochs 2021-06-05 19:20:33,917 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 19:20:33,999 - mmaction - INFO - top1_acc 0.9096 top5_acc 0.9929 2021-06-05 19:20:33,999 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 19:20:34,056 - mmaction - INFO - mean_acc 0.9071 2021-06-05 19:20:34,924 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_3.pth. 2021-06-05 19:20:34,924 - mmaction - INFO - Best top1_acc is 0.9096 at 3 epoch. 2021-06-05 19:20:34,937 - mmaction - INFO - Epoch(val) [3][199] top1_acc: 0.9096, top5_acc: 0.9929, mean_class_accuracy: 0.9071 2021-06-05 19:27:55,450 - mmaction - INFO - Epoch [4][20/199] lr: 7.500e-04, eta: 4:16:38, time: 22.020, data_time: 21.109, memory: 10389, top1_acc: 0.9115, top5_acc: 0.9948, loss_cls: 0.5114, loss: 0.5114, grad_norm: 2.5220 2021-06-05 19:28:11,371 - mmaction - INFO - Epoch [4][40/199] lr: 7.500e-04, eta: 4:09:15, time: 0.799, data_time: 0.005, memory: 10389, top1_acc: 0.9250, top5_acc: 0.9906, loss_cls: 0.4949, loss: 0.4949, grad_norm: 2.5610 2021-06-05 19:28:27,277 - mmaction - INFO - Epoch [4][60/199] lr: 7.500e-04, eta: 4:02:17, time: 0.795, data_time: 0.001, memory: 10389, top1_acc: 0.9219, top5_acc: 0.9896, loss_cls: 0.4905, loss: 0.4905, grad_norm: 2.5298 2021-06-05 19:28:43,375 - mmaction - INFO - Epoch [4][80/199] lr: 7.500e-04, eta: 3:55:45, time: 0.805, data_time: 0.001, memory: 10389, top1_acc: 0.9156, top5_acc: 0.9854, loss_cls: 0.4779, loss: 0.4779, grad_norm: 2.4536 2021-06-05 19:28:59,771 - mmaction - INFO - Epoch [4][100/199] lr: 7.500e-04, eta: 3:49:35, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.9240, top5_acc: 0.9875, loss_cls: 0.4930, loss: 0.4930, grad_norm: 2.6018 2021-06-05 19:29:16,151 - mmaction - INFO - Epoch [4][120/199] lr: 7.500e-04, eta: 3:43:46, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.9490, top5_acc: 0.9948, loss_cls: 0.4051, loss: 0.4051, grad_norm: 2.2816 2021-06-05 19:29:33,396 - mmaction - INFO - Epoch [4][140/199] lr: 7.500e-04, eta: 3:38:19, time: 0.862, data_time: 0.001, memory: 10389, top1_acc: 0.9448, top5_acc: 0.9948, loss_cls: 0.3993, loss: 0.3993, grad_norm: 2.3312 2021-06-05 19:29:50,252 - mmaction - INFO - Epoch [4][160/199] lr: 7.500e-04, eta: 3:33:07, time: 0.843, data_time: 0.001, memory: 10389, top1_acc: 0.9219, top5_acc: 0.9938, loss_cls: 0.4168, loss: 0.4168, grad_norm: 2.3949 2021-06-05 19:30:07,235 - mmaction - INFO - Epoch [4][180/199] lr: 7.500e-04, eta: 3:28:10, time: 0.849, data_time: 0.001, memory: 10389, top1_acc: 0.9333, top5_acc: 0.9927, loss_cls: 0.4214, loss: 0.4214, grad_norm: 2.4344 2021-06-05 19:30:27,404 - mmaction - INFO - Saving checkpoint at 4 epochs 2021-06-05 19:37:57,629 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 19:37:57,710 - mmaction - INFO - top1_acc 0.9186 top5_acc 0.9931 2021-06-05 19:37:57,710 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 19:37:57,770 - mmaction - INFO - mean_acc 0.9185 2021-06-05 19:37:58,619 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_4.pth. 2021-06-05 19:37:58,620 - mmaction - INFO - Best top1_acc is 0.9186 at 4 epoch. 2021-06-05 19:37:58,632 - mmaction - INFO - Epoch(val) [4][199] top1_acc: 0.9186, top5_acc: 0.9931, mean_class_accuracy: 0.9185 2021-06-05 19:45:43,710 - mmaction - INFO - Epoch [5][20/199] lr: 7.500e-04, eta: 3:55:53, time: 23.250, data_time: 22.342, memory: 10389, top1_acc: 0.9344, top5_acc: 0.9896, loss_cls: 0.3973, loss: 0.3973, grad_norm: 2.3748 2021-06-05 19:45:59,622 - mmaction - INFO - Epoch [5][40/199] lr: 7.500e-04, eta: 3:50:27, time: 0.797, data_time: 0.004, memory: 10389, top1_acc: 0.9406, top5_acc: 0.9906, loss_cls: 0.3991, loss: 0.3991, grad_norm: 2.4434 2021-06-05 19:46:15,529 - mmaction - INFO - Epoch [5][60/199] lr: 7.500e-04, eta: 3:45:15, time: 0.795, data_time: 0.001, memory: 10389, top1_acc: 0.9354, top5_acc: 0.9958, loss_cls: 0.3932, loss: 0.3932, grad_norm: 2.4388 2021-06-05 19:46:31,601 - mmaction - INFO - Epoch [5][80/199] lr: 7.500e-04, eta: 3:40:18, time: 0.803, data_time: 0.001, memory: 10389, top1_acc: 0.9354, top5_acc: 0.9948, loss_cls: 0.3696, loss: 0.3696, grad_norm: 2.3955 2021-06-05 19:46:47,836 - mmaction - INFO - Epoch [5][100/199] lr: 7.500e-04, eta: 3:35:33, time: 0.812, data_time: 0.001, memory: 10389, top1_acc: 0.9344, top5_acc: 0.9906, loss_cls: 0.3861, loss: 0.3861, grad_norm: 2.3646 2021-06-05 19:47:04,938 - mmaction - INFO - Epoch [5][120/199] lr: 7.500e-04, eta: 3:31:05, time: 0.855, data_time: 0.001, memory: 10389, top1_acc: 0.9552, top5_acc: 0.9938, loss_cls: 0.3287, loss: 0.3287, grad_norm: 2.2737 2021-06-05 19:47:21,383 - mmaction - INFO - Epoch [5][140/199] lr: 7.500e-04, eta: 3:26:44, time: 0.823, data_time: 0.001, memory: 10389, top1_acc: 0.9521, top5_acc: 0.9958, loss_cls: 0.3455, loss: 0.3455, grad_norm: 2.2990 2021-06-05 19:47:37,961 - mmaction - INFO - Epoch [5][160/199] lr: 7.500e-04, eta: 3:22:34, time: 0.829, data_time: 0.001, memory: 10389, top1_acc: 0.9406, top5_acc: 0.9938, loss_cls: 0.3551, loss: 0.3551, grad_norm: 2.4472 2021-06-05 19:47:55,094 - mmaction - INFO - Epoch [5][180/199] lr: 7.500e-04, eta: 3:18:36, time: 0.856, data_time: 0.001, memory: 10389, top1_acc: 0.9479, top5_acc: 0.9948, loss_cls: 0.3308, loss: 0.3308, grad_norm: 2.2843 2021-06-05 19:48:16,346 - mmaction - INFO - Saving checkpoint at 5 epochs 2021-06-05 19:55:46,302 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 19:55:46,372 - mmaction - INFO - top1_acc 0.9255 top5_acc 0.9947 2021-06-05 19:55:46,372 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 19:55:46,426 - mmaction - INFO - mean_acc 0.9246 2021-06-05 19:55:47,285 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_5.pth. 2021-06-05 19:55:47,286 - mmaction - INFO - Best top1_acc is 0.9255 at 5 epoch. 2021-06-05 19:55:47,287 - mmaction - INFO - Epoch(val) [5][199] top1_acc: 0.9255, top5_acc: 0.9947, mean_class_accuracy: 0.9246 2021-06-05 20:02:45,640 - mmaction - INFO - Epoch [6][20/199] lr: 7.500e-04, eta: 3:36:18, time: 20.914, data_time: 20.043, memory: 10389, top1_acc: 0.9385, top5_acc: 0.9958, loss_cls: 0.3157, loss: 0.3157, grad_norm: 2.2812 2021-06-05 20:03:01,535 - mmaction - INFO - Epoch [6][40/199] lr: 7.500e-04, eta: 3:32:04, time: 0.796, data_time: 0.003, memory: 10389, top1_acc: 0.9542, top5_acc: 0.9958, loss_cls: 0.3086, loss: 0.3086, grad_norm: 2.3294 2021-06-05 20:03:17,437 - mmaction - INFO - Epoch [6][60/199] lr: 7.500e-04, eta: 3:27:58, time: 0.795, data_time: 0.001, memory: 10389, top1_acc: 0.9594, top5_acc: 0.9948, loss_cls: 0.3088, loss: 0.3088, grad_norm: 2.2802 2021-06-05 20:03:33,473 - mmaction - INFO - Epoch [6][80/199] lr: 7.500e-04, eta: 3:24:02, time: 0.801, data_time: 0.001, memory: 10389, top1_acc: 0.9521, top5_acc: 0.9938, loss_cls: 0.2917, loss: 0.2917, grad_norm: 2.1726 2021-06-05 20:03:49,722 - mmaction - INFO - Epoch [6][100/199] lr: 7.500e-04, eta: 3:20:14, time: 0.812, data_time: 0.001, memory: 10389, top1_acc: 0.9469, top5_acc: 0.9990, loss_cls: 0.3168, loss: 0.3168, grad_norm: 2.3607 2021-06-05 20:04:06,099 - mmaction - INFO - Epoch [6][120/199] lr: 7.500e-04, eta: 3:16:34, time: 0.819, data_time: 0.002, memory: 10389, top1_acc: 0.9479, top5_acc: 0.9927, loss_cls: 0.3040, loss: 0.3040, grad_norm: 2.3308 2021-06-05 20:04:22,615 - mmaction - INFO - Epoch [6][140/199] lr: 7.500e-04, eta: 3:13:02, time: 0.825, data_time: 0.001, memory: 10389, top1_acc: 0.9510, top5_acc: 0.9885, loss_cls: 0.3076, loss: 0.3076, grad_norm: 2.2780 2021-06-05 20:04:40,094 - mmaction - INFO - Epoch [6][160/199] lr: 7.500e-04, eta: 3:09:40, time: 0.874, data_time: 0.001, memory: 10389, top1_acc: 0.9437, top5_acc: 0.9948, loss_cls: 0.3121, loss: 0.3121, grad_norm: 2.3331 2021-06-05 20:04:57,037 - mmaction - INFO - Epoch [6][180/199] lr: 7.500e-04, eta: 3:06:23, time: 0.847, data_time: 0.001, memory: 10389, top1_acc: 0.9469, top5_acc: 0.9938, loss_cls: 0.3084, loss: 0.3084, grad_norm: 2.3869 2021-06-05 20:05:16,832 - mmaction - INFO - Saving checkpoint at 6 epochs 2021-06-05 20:12:59,431 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 20:12:59,508 - mmaction - INFO - top1_acc 0.9358 top5_acc 0.9937 2021-06-05 20:12:59,508 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 20:12:59,568 - mmaction - INFO - mean_acc 0.9353 2021-06-05 20:13:00,417 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_6.pth. 2021-06-05 20:13:00,418 - mmaction - INFO - Best top1_acc is 0.9358 at 6 epoch. 2021-06-05 20:13:00,431 - mmaction - INFO - Epoch(val) [6][199] top1_acc: 0.9358, top5_acc: 0.9937, mean_class_accuracy: 0.9353 2021-06-05 20:20:29,354 - mmaction - INFO - Epoch [7][20/199] lr: 7.500e-04, eta: 3:21:43, time: 22.444, data_time: 21.532, memory: 10389, top1_acc: 0.9500, top5_acc: 0.9969, loss_cls: 0.2684, loss: 0.2684, grad_norm: 2.1848 2021-06-05 20:20:45,283 - mmaction - INFO - Epoch [7][40/199] lr: 7.500e-04, eta: 3:18:12, time: 0.798, data_time: 0.004, memory: 10389, top1_acc: 0.9563, top5_acc: 0.9927, loss_cls: 0.2920, loss: 0.2920, grad_norm: 2.3063 2021-06-05 20:21:01,196 - mmaction - INFO - Epoch [7][60/199] lr: 7.500e-04, eta: 3:14:47, time: 0.796, data_time: 0.001, memory: 10389, top1_acc: 0.9646, top5_acc: 0.9979, loss_cls: 0.2564, loss: 0.2564, grad_norm: 2.2304 2021-06-05 20:21:17,245 - mmaction - INFO - Epoch [7][80/199] lr: 7.500e-04, eta: 3:11:28, time: 0.802, data_time: 0.001, memory: 10389, top1_acc: 0.9594, top5_acc: 0.9938, loss_cls: 0.2572, loss: 0.2572, grad_norm: 2.1800 2021-06-05 20:21:33,462 - mmaction - INFO - Epoch [7][100/199] lr: 7.500e-04, eta: 3:08:16, time: 0.811, data_time: 0.001, memory: 10389, top1_acc: 0.9573, top5_acc: 0.9948, loss_cls: 0.2545, loss: 0.2545, grad_norm: 2.2309 2021-06-05 20:21:49,976 - mmaction - INFO - Epoch [7][120/199] lr: 7.500e-04, eta: 3:05:09, time: 0.826, data_time: 0.001, memory: 10389, top1_acc: 0.9604, top5_acc: 0.9948, loss_cls: 0.2676, loss: 0.2676, grad_norm: 2.3188 2021-06-05 20:22:06,485 - mmaction - INFO - Epoch [7][140/199] lr: 7.500e-04, eta: 3:02:08, time: 0.826, data_time: 0.001, memory: 10389, top1_acc: 0.9583, top5_acc: 0.9979, loss_cls: 0.2442, loss: 0.2442, grad_norm: 2.1623 2021-06-05 20:22:23,103 - mmaction - INFO - Epoch [7][160/199] lr: 7.500e-04, eta: 2:59:12, time: 0.831, data_time: 0.001, memory: 10389, top1_acc: 0.9615, top5_acc: 0.9958, loss_cls: 0.2521, loss: 0.2521, grad_norm: 2.1823 2021-06-05 20:22:40,306 - mmaction - INFO - Epoch [7][180/199] lr: 7.500e-04, eta: 2:56:22, time: 0.860, data_time: 0.001, memory: 10389, top1_acc: 0.9594, top5_acc: 0.9948, loss_cls: 0.2355, loss: 0.2355, grad_norm: 2.1352 2021-06-05 20:23:01,817 - mmaction - INFO - Saving checkpoint at 7 epochs 2021-06-05 20:30:56,014 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 20:30:56,097 - mmaction - INFO - top1_acc 0.9350 top5_acc 0.9939 2021-06-05 20:30:56,097 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 20:30:56,163 - mmaction - INFO - mean_acc 0.9354 2021-06-05 20:30:56,164 - mmaction - INFO - Epoch(val) [7][199] top1_acc: 0.9350, top5_acc: 0.9939, mean_class_accuracy: 0.9354 2021-06-05 20:38:43,662 - mmaction - INFO - Epoch [8][20/199] lr: 7.500e-04, eta: 3:09:17, time: 23.371, data_time: 22.445, memory: 10389, top1_acc: 0.9635, top5_acc: 0.9969, loss_cls: 0.2327, loss: 0.2327, grad_norm: 2.2349 2021-06-05 20:38:59,559 - mmaction - INFO - Epoch [8][40/199] lr: 7.500e-04, eta: 3:06:15, time: 0.798, data_time: 0.005, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9990, loss_cls: 0.2349, loss: 0.2349, grad_norm: 2.1509 2021-06-05 20:39:15,462 - mmaction - INFO - Epoch [8][60/199] lr: 7.500e-04, eta: 3:03:17, time: 0.795, data_time: 0.001, memory: 10389, top1_acc: 0.9573, top5_acc: 0.9958, loss_cls: 0.2364, loss: 0.2364, grad_norm: 2.2190 2021-06-05 20:39:31,484 - mmaction - INFO - Epoch [8][80/199] lr: 7.500e-04, eta: 3:00:25, time: 0.801, data_time: 0.001, memory: 10389, top1_acc: 0.9542, top5_acc: 0.9938, loss_cls: 0.2452, loss: 0.2452, grad_norm: 2.2535 2021-06-05 20:39:47,886 - mmaction - INFO - Epoch [8][100/199] lr: 7.500e-04, eta: 2:57:37, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.9583, top5_acc: 0.9927, loss_cls: 0.2337, loss: 0.2337, grad_norm: 2.2116 2021-06-05 20:40:04,313 - mmaction - INFO - Epoch [8][120/199] lr: 7.500e-04, eta: 2:54:53, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.9542, top5_acc: 0.9948, loss_cls: 0.2384, loss: 0.2384, grad_norm: 2.2054 2021-06-05 20:40:20,660 - mmaction - INFO - Epoch [8][140/199] lr: 7.500e-04, eta: 2:52:13, time: 0.819, data_time: 0.003, memory: 10389, top1_acc: 0.9594, top5_acc: 0.9927, loss_cls: 0.2481, loss: 0.2481, grad_norm: 2.2680 2021-06-05 20:40:37,340 - mmaction - INFO - Epoch [8][160/199] lr: 7.500e-04, eta: 2:49:37, time: 0.834, data_time: 0.001, memory: 10389, top1_acc: 0.9677, top5_acc: 0.9958, loss_cls: 0.2055, loss: 0.2055, grad_norm: 2.0769 2021-06-05 20:40:54,337 - mmaction - INFO - Epoch [8][180/199] lr: 7.500e-04, eta: 2:47:06, time: 0.850, data_time: 0.001, memory: 10389, top1_acc: 0.9573, top5_acc: 0.9958, loss_cls: 0.2178, loss: 0.2178, grad_norm: 2.0850 2021-06-05 20:41:15,910 - mmaction - INFO - Saving checkpoint at 8 epochs 2021-06-05 20:49:00,181 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 20:49:00,259 - mmaction - INFO - top1_acc 0.9358 top5_acc 0.9937 2021-06-05 20:49:00,259 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 20:49:00,319 - mmaction - INFO - mean_acc 0.9359 2021-06-05 20:49:00,320 - mmaction - INFO - Epoch(val) [8][199] top1_acc: 0.9358, top5_acc: 0.9937, mean_class_accuracy: 0.9359 2021-06-05 20:56:31,027 - mmaction - INFO - Epoch [9][20/199] lr: 7.500e-04, eta: 2:56:52, time: 22.533, data_time: 21.620, memory: 10389, top1_acc: 0.9615, top5_acc: 0.9948, loss_cls: 0.2129, loss: 0.2129, grad_norm: 2.1336 2021-06-05 20:56:46,936 - mmaction - INFO - Epoch [9][40/199] lr: 7.500e-04, eta: 2:54:12, time: 0.797, data_time: 0.004, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9958, loss_cls: 0.2100, loss: 0.2100, grad_norm: 2.0849 2021-06-05 20:57:02,888 - mmaction - INFO - Epoch [9][60/199] lr: 7.500e-04, eta: 2:51:36, time: 0.798, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9990, loss_cls: 0.1999, loss: 0.1999, grad_norm: 2.0474 2021-06-05 20:57:18,953 - mmaction - INFO - Epoch [9][80/199] lr: 7.500e-04, eta: 2:49:03, time: 0.803, data_time: 0.001, memory: 10389, top1_acc: 0.9677, top5_acc: 0.9927, loss_cls: 0.2049, loss: 0.2049, grad_norm: 2.0277 2021-06-05 20:57:35,336 - mmaction - INFO - Epoch [9][100/199] lr: 7.500e-04, eta: 2:46:34, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9938, loss_cls: 0.2097, loss: 0.2097, grad_norm: 2.0806 2021-06-05 20:57:51,789 - mmaction - INFO - Epoch [9][120/199] lr: 7.500e-04, eta: 2:44:09, time: 0.822, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9969, loss_cls: 0.1972, loss: 0.1972, grad_norm: 2.0711 2021-06-05 20:58:08,324 - mmaction - INFO - Epoch [9][140/199] lr: 7.500e-04, eta: 2:41:46, time: 0.827, data_time: 0.001, memory: 10389, top1_acc: 0.9625, top5_acc: 0.9938, loss_cls: 0.2041, loss: 0.2041, grad_norm: 2.0810 2021-06-05 20:58:24,824 - mmaction - INFO - Epoch [9][160/199] lr: 7.500e-04, eta: 2:39:26, time: 0.825, data_time: 0.001, memory: 10389, top1_acc: 0.9625, top5_acc: 0.9958, loss_cls: 0.2152, loss: 0.2152, grad_norm: 2.3057 2021-06-05 20:58:41,836 - mmaction - INFO - Epoch [9][180/199] lr: 7.500e-04, eta: 2:37:11, time: 0.850, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9969, loss_cls: 0.1913, loss: 0.1913, grad_norm: 2.1231 2021-06-05 20:59:02,983 - mmaction - INFO - Saving checkpoint at 9 epochs 2021-06-05 21:06:27,211 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 21:06:27,281 - mmaction - INFO - top1_acc 0.9395 top5_acc 0.9952 2021-06-05 21:06:27,281 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 21:06:27,332 - mmaction - INFO - mean_acc 0.9400 2021-06-05 21:06:28,183 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_9.pth. 2021-06-05 21:06:28,184 - mmaction - INFO - Best top1_acc is 0.9395 at 9 epoch. 2021-06-05 21:06:28,196 - mmaction - INFO - Epoch(val) [9][199] top1_acc: 0.9395, top5_acc: 0.9952, mean_class_accuracy: 0.9400 2021-06-05 21:13:42,603 - mmaction - INFO - Epoch [10][20/199] lr: 7.500e-04, eta: 2:44:34, time: 21.718, data_time: 20.834, memory: 10389, top1_acc: 0.9656, top5_acc: 0.9969, loss_cls: 0.2012, loss: 0.2012, grad_norm: 2.1770 2021-06-05 21:13:58,503 - mmaction - INFO - Epoch [10][40/199] lr: 7.500e-04, eta: 2:42:12, time: 0.797, data_time: 0.004, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1794, loss: 0.1794, grad_norm: 1.9709 2021-06-05 21:14:14,423 - mmaction - INFO - Epoch [10][60/199] lr: 7.500e-04, eta: 2:39:52, time: 0.796, data_time: 0.001, memory: 10389, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.1821, loss: 0.1821, grad_norm: 2.1196 2021-06-05 21:14:30,470 - mmaction - INFO - Epoch [10][80/199] lr: 7.500e-04, eta: 2:37:36, time: 0.802, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9969, loss_cls: 0.1879, loss: 0.1879, grad_norm: 2.1930 2021-06-05 21:14:47,154 - mmaction - INFO - Epoch [10][100/199] lr: 7.500e-04, eta: 2:35:22, time: 0.834, data_time: 0.001, memory: 10389, top1_acc: 0.9615, top5_acc: 0.9938, loss_cls: 0.2027, loss: 0.2027, grad_norm: 2.2294 2021-06-05 21:15:03,564 - mmaction - INFO - Epoch [10][120/199] lr: 7.500e-04, eta: 2:33:11, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9969, loss_cls: 0.1938, loss: 0.1938, grad_norm: 2.1418 2021-06-05 21:15:20,114 - mmaction - INFO - Epoch [10][140/199] lr: 7.500e-04, eta: 2:31:03, time: 0.828, data_time: 0.001, memory: 10389, top1_acc: 0.9635, top5_acc: 0.9958, loss_cls: 0.1977, loss: 0.1977, grad_norm: 2.1761 2021-06-05 21:15:36,842 - mmaction - INFO - Epoch [10][160/199] lr: 7.500e-04, eta: 2:28:57, time: 0.836, data_time: 0.001, memory: 10389, top1_acc: 0.9760, top5_acc: 1.0000, loss_cls: 0.1643, loss: 0.1643, grad_norm: 1.9780 2021-06-05 21:15:53,754 - mmaction - INFO - Epoch [10][180/199] lr: 7.500e-04, eta: 2:26:54, time: 0.846, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9969, loss_cls: 0.1870, loss: 0.1870, grad_norm: 2.2561 2021-06-05 21:16:13,820 - mmaction - INFO - Saving checkpoint at 10 epochs 2021-06-05 21:23:17,021 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 21:23:17,099 - mmaction - INFO - top1_acc 0.9403 top5_acc 0.9947 2021-06-05 21:23:17,100 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 21:23:17,160 - mmaction - INFO - mean_acc 0.9399 2021-06-05 21:23:18,016 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_10.pth. 2021-06-05 21:23:18,016 - mmaction - INFO - Best top1_acc is 0.9403 at 10 epoch. 2021-06-05 21:23:18,029 - mmaction - INFO - Epoch(val) [10][199] top1_acc: 0.9403, top5_acc: 0.9947, mean_class_accuracy: 0.9399 2021-06-05 21:30:54,724 - mmaction - INFO - Epoch [11][20/199] lr: 7.500e-05, eta: 2:33:24, time: 22.832, data_time: 21.905, memory: 10389, top1_acc: 0.9688, top5_acc: 0.9990, loss_cls: 0.1645, loss: 0.1645, grad_norm: 2.0001 2021-06-05 21:31:10,652 - mmaction - INFO - Epoch [11][40/199] lr: 7.500e-05, eta: 2:31:15, time: 0.799, data_time: 0.004, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9969, loss_cls: 0.1637, loss: 0.1637, grad_norm: 1.9939 2021-06-05 21:31:26,578 - mmaction - INFO - Epoch [11][60/199] lr: 7.500e-05, eta: 2:29:08, time: 0.796, data_time: 0.001, memory: 10389, top1_acc: 0.9677, top5_acc: 0.9979, loss_cls: 0.1693, loss: 0.1693, grad_norm: 2.0653 2021-06-05 21:31:42,580 - mmaction - INFO - Epoch [11][80/199] lr: 7.500e-05, eta: 2:27:03, time: 0.800, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9969, loss_cls: 0.1654, loss: 0.1654, grad_norm: 1.9462 2021-06-05 21:31:58,974 - mmaction - INFO - Epoch [11][100/199] lr: 7.500e-05, eta: 2:25:01, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.9594, top5_acc: 0.9927, loss_cls: 0.2015, loss: 0.2015, grad_norm: 2.1361 2021-06-05 21:32:15,574 - mmaction - INFO - Epoch [11][120/199] lr: 7.500e-05, eta: 2:23:02, time: 0.830, data_time: 0.001, memory: 10389, top1_acc: 0.9771, top5_acc: 0.9958, loss_cls: 0.1590, loss: 0.1590, grad_norm: 1.8343 2021-06-05 21:32:32,310 - mmaction - INFO - Epoch [11][140/199] lr: 7.500e-05, eta: 2:21:04, time: 0.837, data_time: 0.001, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9948, loss_cls: 0.1743, loss: 0.1743, grad_norm: 2.0513 2021-06-05 21:32:49,190 - mmaction - INFO - Epoch [11][160/199] lr: 7.500e-05, eta: 2:19:09, time: 0.844, data_time: 0.001, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9990, loss_cls: 0.1726, loss: 0.1726, grad_norm: 2.1647 2021-06-05 21:33:06,051 - mmaction - INFO - Epoch [11][180/199] lr: 7.500e-05, eta: 2:17:15, time: 0.843, data_time: 0.001, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9979, loss_cls: 0.1721, loss: 0.1721, grad_norm: 2.0449 2021-06-05 21:33:27,029 - mmaction - INFO - Saving checkpoint at 11 epochs 2021-06-05 21:41:08,102 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 21:41:08,186 - mmaction - INFO - top1_acc 0.9434 top5_acc 0.9942 2021-06-05 21:41:08,187 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 21:41:08,251 - mmaction - INFO - mean_acc 0.9434 2021-06-05 21:41:09,111 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_11.pth. 2021-06-05 21:41:09,112 - mmaction - INFO - Best top1_acc is 0.9434 at 11 epoch. 2021-06-05 21:41:09,124 - mmaction - INFO - Epoch(val) [11][199] top1_acc: 0.9434, top5_acc: 0.9942, mean_class_accuracy: 0.9434 2021-06-05 21:48:49,479 - mmaction - INFO - Epoch [12][20/199] lr: 7.500e-05, eta: 2:22:33, time: 23.013, data_time: 22.095, memory: 10389, top1_acc: 0.9802, top5_acc: 0.9990, loss_cls: 0.1543, loss: 0.1543, grad_norm: 1.8940 2021-06-05 21:49:05,365 - mmaction - INFO - Epoch [12][40/199] lr: 7.500e-05, eta: 2:20:35, time: 0.796, data_time: 0.004, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9979, loss_cls: 0.1776, loss: 0.1776, grad_norm: 2.1757 2021-06-05 21:49:21,315 - mmaction - INFO - Epoch [12][60/199] lr: 7.500e-05, eta: 2:18:38, time: 0.797, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9979, loss_cls: 0.2016, loss: 0.2016, grad_norm: 2.3477 2021-06-05 21:49:37,305 - mmaction - INFO - Epoch [12][80/199] lr: 7.500e-05, eta: 2:16:44, time: 0.800, data_time: 0.001, memory: 10389, top1_acc: 0.9688, top5_acc: 0.9969, loss_cls: 0.1751, loss: 0.1751, grad_norm: 2.0909 2021-06-05 21:49:53,624 - mmaction - INFO - Epoch [12][100/199] lr: 7.500e-05, eta: 2:14:51, time: 0.816, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9969, loss_cls: 0.1722, loss: 0.1722, grad_norm: 1.9980 2021-06-05 21:50:10,021 - mmaction - INFO - Epoch [12][120/199] lr: 7.500e-05, eta: 2:13:00, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.9833, top5_acc: 0.9979, loss_cls: 0.1459, loss: 0.1459, grad_norm: 1.8525 2021-06-05 21:50:26,524 - mmaction - INFO - Epoch [12][140/199] lr: 7.500e-05, eta: 2:11:11, time: 0.825, data_time: 0.001, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9969, loss_cls: 0.1735, loss: 0.1735, grad_norm: 1.9763 2021-06-05 21:50:43,215 - mmaction - INFO - Epoch [12][160/199] lr: 7.500e-05, eta: 2:09:24, time: 0.835, data_time: 0.001, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9979, loss_cls: 0.1629, loss: 0.1629, grad_norm: 1.9498 2021-06-05 21:51:00,538 - mmaction - INFO - Epoch [12][180/199] lr: 7.500e-05, eta: 2:07:39, time: 0.866, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9979, loss_cls: 0.1799, loss: 0.1799, grad_norm: 2.0681 2021-06-05 21:51:22,216 - mmaction - INFO - Saving checkpoint at 12 epochs 2021-06-05 21:58:58,092 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 21:58:58,173 - mmaction - INFO - top1_acc 0.9408 top5_acc 0.9939 2021-06-05 21:58:58,174 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 21:58:58,233 - mmaction - INFO - mean_acc 0.9415 2021-06-05 21:58:58,235 - mmaction - INFO - Epoch(val) [12][199] top1_acc: 0.9408, top5_acc: 0.9939, mean_class_accuracy: 0.9415 2021-06-05 22:06:29,058 - mmaction - INFO - Epoch [13][20/199] lr: 7.500e-05, eta: 2:11:42, time: 22.538, data_time: 21.626, memory: 10389, top1_acc: 0.9656, top5_acc: 0.9948, loss_cls: 0.1762, loss: 0.1762, grad_norm: 2.0507 2021-06-05 22:06:44,963 - mmaction - INFO - Epoch [13][40/199] lr: 7.500e-05, eta: 2:09:53, time: 0.798, data_time: 0.005, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9979, loss_cls: 0.1680, loss: 0.1680, grad_norm: 2.0162 2021-06-05 22:07:00,894 - mmaction - INFO - Epoch [13][60/199] lr: 7.500e-05, eta: 2:08:05, time: 0.796, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9938, loss_cls: 0.1816, loss: 0.1816, grad_norm: 2.0663 2021-06-05 22:07:17,016 - mmaction - INFO - Epoch [13][80/199] lr: 7.500e-05, eta: 2:06:19, time: 0.806, data_time: 0.001, memory: 10389, top1_acc: 0.9792, top5_acc: 0.9958, loss_cls: 0.1621, loss: 0.1621, grad_norm: 1.8867 2021-06-05 22:07:33,270 - mmaction - INFO - Epoch [13][100/199] lr: 7.500e-05, eta: 2:04:34, time: 0.813, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9969, loss_cls: 0.1706, loss: 0.1706, grad_norm: 2.0837 2021-06-05 22:07:49,744 - mmaction - INFO - Epoch [13][120/199] lr: 7.500e-05, eta: 2:02:51, time: 0.823, data_time: 0.001, memory: 10389, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.1849, loss: 0.1849, grad_norm: 2.0908 2021-06-05 22:08:06,215 - mmaction - INFO - Epoch [13][140/199] lr: 7.500e-05, eta: 2:01:09, time: 0.824, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9979, loss_cls: 0.1720, loss: 0.1720, grad_norm: 2.0472 2021-06-05 22:08:23,012 - mmaction - INFO - Epoch [13][160/199] lr: 7.500e-05, eta: 1:59:29, time: 0.840, data_time: 0.001, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9990, loss_cls: 0.1681, loss: 0.1681, grad_norm: 1.9835 2021-06-05 22:08:39,939 - mmaction - INFO - Epoch [13][180/199] lr: 7.500e-05, eta: 1:57:51, time: 0.846, data_time: 0.001, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9979, loss_cls: 0.1634, loss: 0.1634, grad_norm: 1.9649 2021-06-05 22:09:01,875 - mmaction - INFO - Saving checkpoint at 13 epochs 2021-06-05 22:16:50,806 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 22:16:50,879 - mmaction - INFO - top1_acc 0.9418 top5_acc 0.9942 2021-06-05 22:16:50,879 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 22:16:50,939 - mmaction - INFO - mean_acc 0.9421 2021-06-05 22:16:50,940 - mmaction - INFO - Epoch(val) [13][199] top1_acc: 0.9418, top5_acc: 0.9942, mean_class_accuracy: 0.9421 2021-06-05 22:24:27,167 - mmaction - INFO - Epoch [14][20/199] lr: 7.500e-05, eta: 2:01:06, time: 22.808, data_time: 21.885, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9979, loss_cls: 0.1593, loss: 0.1593, grad_norm: 1.9296 2021-06-05 22:24:43,047 - mmaction - INFO - Epoch [14][40/199] lr: 7.500e-05, eta: 1:59:24, time: 0.797, data_time: 0.006, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9958, loss_cls: 0.1639, loss: 0.1639, grad_norm: 1.8691 2021-06-05 22:24:58,970 - mmaction - INFO - Epoch [14][60/199] lr: 7.500e-05, eta: 1:57:44, time: 0.796, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9938, loss_cls: 0.1849, loss: 0.1849, grad_norm: 2.0657 2021-06-05 22:25:15,025 - mmaction - INFO - Epoch [14][80/199] lr: 7.500e-05, eta: 1:56:04, time: 0.802, data_time: 0.001, memory: 10389, top1_acc: 0.9646, top5_acc: 0.9927, loss_cls: 0.1818, loss: 0.1818, grad_norm: 2.1498 2021-06-05 22:25:31,366 - mmaction - INFO - Epoch [14][100/199] lr: 7.500e-05, eta: 1:54:27, time: 0.818, data_time: 0.001, memory: 10389, top1_acc: 0.9771, top5_acc: 0.9979, loss_cls: 0.1679, loss: 0.1679, grad_norm: 2.0603 2021-06-05 22:25:47,807 - mmaction - INFO - Epoch [14][120/199] lr: 7.500e-05, eta: 1:52:50, time: 0.822, data_time: 0.001, memory: 10389, top1_acc: 0.9781, top5_acc: 0.9990, loss_cls: 0.1587, loss: 0.1587, grad_norm: 1.9104 2021-06-05 22:26:04,357 - mmaction - INFO - Epoch [14][140/199] lr: 7.500e-05, eta: 1:51:15, time: 0.828, data_time: 0.001, memory: 10389, top1_acc: 0.9677, top5_acc: 0.9969, loss_cls: 0.1705, loss: 0.1705, grad_norm: 2.1059 2021-06-05 22:26:21,098 - mmaction - INFO - Epoch [14][160/199] lr: 7.500e-05, eta: 1:49:41, time: 0.837, data_time: 0.001, memory: 10389, top1_acc: 0.9781, top5_acc: 1.0000, loss_cls: 0.1505, loss: 0.1505, grad_norm: 1.9560 2021-06-05 22:26:38,727 - mmaction - INFO - Epoch [14][180/199] lr: 7.500e-05, eta: 1:48:09, time: 0.881, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9948, loss_cls: 0.1887, loss: 0.1887, grad_norm: 2.2651 2021-06-05 22:27:01,071 - mmaction - INFO - Saving checkpoint at 14 epochs 2021-06-05 22:34:42,692 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 22:34:42,773 - mmaction - INFO - top1_acc 0.9437 top5_acc 0.9952 2021-06-05 22:34:42,773 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 22:34:42,833 - mmaction - INFO - mean_acc 0.9441 2021-06-05 22:34:43,689 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_14.pth. 2021-06-05 22:34:43,689 - mmaction - INFO - Best top1_acc is 0.9437 at 14 epoch. 2021-06-05 22:34:43,702 - mmaction - INFO - Epoch(val) [14][199] top1_acc: 0.9437, top5_acc: 0.9952, mean_class_accuracy: 0.9441 2021-06-05 22:42:27,736 - mmaction - INFO - Epoch [15][20/199] lr: 7.500e-05, eta: 1:50:44, time: 23.201, data_time: 22.290, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9969, loss_cls: 0.1744, loss: 0.1744, grad_norm: 2.0450 2021-06-05 22:42:43,646 - mmaction - INFO - Epoch [15][40/199] lr: 7.500e-05, eta: 1:49:08, time: 0.796, data_time: 0.003, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9948, loss_cls: 0.1651, loss: 0.1651, grad_norm: 2.0449 2021-06-05 22:42:59,571 - mmaction - INFO - Epoch [15][60/199] lr: 7.500e-05, eta: 1:47:34, time: 0.796, data_time: 0.001, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9979, loss_cls: 0.1404, loss: 0.1404, grad_norm: 1.7812 2021-06-05 22:43:15,725 - mmaction - INFO - Epoch [15][80/199] lr: 7.500e-05, eta: 1:46:00, time: 0.808, data_time: 0.001, memory: 10389, top1_acc: 0.9823, top5_acc: 1.0000, loss_cls: 0.1472, loss: 0.1472, grad_norm: 1.8791 2021-06-05 22:43:31,971 - mmaction - INFO - Epoch [15][100/199] lr: 7.500e-05, eta: 1:44:28, time: 0.812, data_time: 0.001, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9990, loss_cls: 0.1391, loss: 0.1391, grad_norm: 1.7504 2021-06-05 22:43:48,401 - mmaction - INFO - Epoch [15][120/199] lr: 7.500e-05, eta: 1:42:57, time: 0.822, data_time: 0.001, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9958, loss_cls: 0.1743, loss: 0.1743, grad_norm: 2.0625 2021-06-05 22:44:04,916 - mmaction - INFO - Epoch [15][140/199] lr: 7.500e-05, eta: 1:41:27, time: 0.826, data_time: 0.001, memory: 10389, top1_acc: 0.9688, top5_acc: 0.9990, loss_cls: 0.1622, loss: 0.1622, grad_norm: 2.0648 2021-06-05 22:44:21,797 - mmaction - INFO - Epoch [15][160/199] lr: 7.500e-05, eta: 1:39:58, time: 0.844, data_time: 0.001, memory: 10389, top1_acc: 0.9656, top5_acc: 0.9948, loss_cls: 0.1760, loss: 0.1760, grad_norm: 2.0997 2021-06-05 22:44:38,963 - mmaction - INFO - Epoch [15][180/199] lr: 7.500e-05, eta: 1:38:31, time: 0.859, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 1.0000, loss_cls: 0.1577, loss: 0.1577, grad_norm: 2.0676 2021-06-05 22:45:00,516 - mmaction - INFO - Saving checkpoint at 15 epochs 2021-06-05 22:52:32,362 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 22:52:32,444 - mmaction - INFO - top1_acc 0.9450 top5_acc 0.9944 2021-06-05 22:52:32,445 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 22:52:32,499 - mmaction - INFO - mean_acc 0.9454 2021-06-05 22:52:33,356 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_15.pth. 2021-06-05 22:52:33,356 - mmaction - INFO - Best top1_acc is 0.9450 at 15 epoch. 2021-06-05 22:52:33,358 - mmaction - INFO - Epoch(val) [15][199] top1_acc: 0.9450, top5_acc: 0.9944, mean_class_accuracy: 0.9454 2021-06-05 22:59:53,527 - mmaction - INFO - Epoch [16][20/199] lr: 7.500e-05, eta: 1:40:09, time: 22.004, data_time: 21.147, memory: 10389, top1_acc: 0.9635, top5_acc: 0.9990, loss_cls: 0.1616, loss: 0.1616, grad_norm: 2.0810 2021-06-05 23:00:09,409 - mmaction - INFO - Epoch [16][40/199] lr: 7.500e-05, eta: 1:38:39, time: 0.796, data_time: 0.003, memory: 10389, top1_acc: 0.9771, top5_acc: 0.9979, loss_cls: 0.1561, loss: 0.1561, grad_norm: 1.8546 2021-06-05 23:00:25,314 - mmaction - INFO - Epoch [16][60/199] lr: 7.500e-05, eta: 1:37:10, time: 0.795, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9958, loss_cls: 0.1610, loss: 0.1610, grad_norm: 1.8489 2021-06-05 23:00:41,375 - mmaction - INFO - Epoch [16][80/199] lr: 7.500e-05, eta: 1:35:42, time: 0.803, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 1.0000, loss_cls: 0.1667, loss: 0.1667, grad_norm: 1.9977 2021-06-05 23:00:57,664 - mmaction - INFO - Epoch [16][100/199] lr: 7.500e-05, eta: 1:34:15, time: 0.814, data_time: 0.001, memory: 10389, top1_acc: 0.9656, top5_acc: 0.9990, loss_cls: 0.1610, loss: 0.1610, grad_norm: 2.0067 2021-06-05 23:01:14,150 - mmaction - INFO - Epoch [16][120/199] lr: 7.500e-05, eta: 1:32:49, time: 0.824, data_time: 0.001, memory: 10389, top1_acc: 0.9771, top5_acc: 0.9958, loss_cls: 0.1515, loss: 0.1515, grad_norm: 1.8995 2021-06-05 23:01:30,612 - mmaction - INFO - Epoch [16][140/199] lr: 7.500e-05, eta: 1:31:24, time: 0.823, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9990, loss_cls: 0.1840, loss: 0.1840, grad_norm: 2.1612 2021-06-05 23:01:47,521 - mmaction - INFO - Epoch [16][160/199] lr: 7.500e-05, eta: 1:30:00, time: 0.845, data_time: 0.001, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9927, loss_cls: 0.1690, loss: 0.1690, grad_norm: 2.0760 2021-06-05 23:02:04,661 - mmaction - INFO - Epoch [16][180/199] lr: 7.500e-05, eta: 1:28:37, time: 0.857, data_time: 0.001, memory: 10389, top1_acc: 0.9792, top5_acc: 0.9979, loss_cls: 0.1570, loss: 0.1570, grad_norm: 1.9278 2021-06-05 23:02:24,311 - mmaction - INFO - Saving checkpoint at 16 epochs 2021-06-05 23:09:46,791 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 23:09:46,861 - mmaction - INFO - top1_acc 0.9458 top5_acc 0.9937 2021-06-05 23:09:46,861 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 23:09:46,914 - mmaction - INFO - mean_acc 0.9460 2021-06-05 23:09:47,760 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_16.pth. 2021-06-05 23:09:47,760 - mmaction - INFO - Best top1_acc is 0.9458 at 16 epoch. 2021-06-05 23:09:47,772 - mmaction - INFO - Epoch(val) [16][199] top1_acc: 0.9458, top5_acc: 0.9937, mean_class_accuracy: 0.9460 2021-06-05 23:17:19,087 - mmaction - INFO - Epoch [17][20/199] lr: 7.500e-05, eta: 1:29:49, time: 22.561, data_time: 21.648, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9979, loss_cls: 0.1510, loss: 0.1510, grad_norm: 1.9079 2021-06-05 23:17:35,010 - mmaction - INFO - Epoch [17][40/199] lr: 7.500e-05, eta: 1:28:23, time: 0.798, data_time: 0.004, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9990, loss_cls: 0.1609, loss: 0.1609, grad_norm: 1.8687 2021-06-05 23:17:50,974 - mmaction - INFO - Epoch [17][60/199] lr: 7.500e-05, eta: 1:26:59, time: 0.798, data_time: 0.001, memory: 10389, top1_acc: 0.9625, top5_acc: 0.9969, loss_cls: 0.1793, loss: 0.1793, grad_norm: 2.0894 2021-06-05 23:18:07,068 - mmaction - INFO - Epoch [17][80/199] lr: 7.500e-05, eta: 1:25:35, time: 0.804, data_time: 0.001, memory: 10389, top1_acc: 0.9646, top5_acc: 0.9979, loss_cls: 0.1711, loss: 0.1711, grad_norm: 2.1844 2021-06-05 23:18:23,417 - mmaction - INFO - Epoch [17][100/199] lr: 7.500e-05, eta: 1:24:13, time: 0.818, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9948, loss_cls: 0.1675, loss: 0.1675, grad_norm: 1.9790 2021-06-05 23:18:39,888 - mmaction - INFO - Epoch [17][120/199] lr: 7.500e-05, eta: 1:22:51, time: 0.823, data_time: 0.001, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9969, loss_cls: 0.1667, loss: 0.1667, grad_norm: 2.0887 2021-06-05 23:18:56,429 - mmaction - INFO - Epoch [17][140/199] lr: 7.500e-05, eta: 1:21:30, time: 0.827, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9958, loss_cls: 0.1715, loss: 0.1715, grad_norm: 2.0178 2021-06-05 23:19:13,285 - mmaction - INFO - Epoch [17][160/199] lr: 7.500e-05, eta: 1:20:11, time: 0.843, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9938, loss_cls: 0.1779, loss: 0.1779, grad_norm: 1.9795 2021-06-05 23:19:31,003 - mmaction - INFO - Epoch [17][180/199] lr: 7.500e-05, eta: 1:18:52, time: 0.886, data_time: 0.001, memory: 10389, top1_acc: 0.9781, top5_acc: 0.9979, loss_cls: 0.1540, loss: 0.1540, grad_norm: 1.9445 2021-06-05 23:19:53,021 - mmaction - INFO - Saving checkpoint at 17 epochs 2021-06-05 23:27:11,295 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 23:27:11,372 - mmaction - INFO - top1_acc 0.9387 top5_acc 0.9958 2021-06-05 23:27:11,372 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 23:27:11,432 - mmaction - INFO - mean_acc 0.9394 2021-06-05 23:27:11,434 - mmaction - INFO - Epoch(val) [17][199] top1_acc: 0.9387, top5_acc: 0.9958, mean_class_accuracy: 0.9394 2021-06-05 23:34:42,107 - mmaction - INFO - Epoch [18][20/199] lr: 7.500e-05, eta: 1:19:32, time: 22.532, data_time: 21.619, memory: 10389, top1_acc: 0.9823, top5_acc: 0.9979, loss_cls: 0.1444, loss: 0.1444, grad_norm: 1.8914 2021-06-05 23:34:57,998 - mmaction - INFO - Epoch [18][40/199] lr: 7.500e-05, eta: 1:18:11, time: 0.796, data_time: 0.003, memory: 10389, top1_acc: 0.9760, top5_acc: 0.9969, loss_cls: 0.1675, loss: 0.1675, grad_norm: 1.9989 2021-06-05 23:35:14,670 - mmaction - INFO - Epoch [18][60/199] lr: 7.500e-05, eta: 1:16:51, time: 0.833, data_time: 0.001, memory: 10389, top1_acc: 0.9781, top5_acc: 0.9979, loss_cls: 0.1494, loss: 0.1494, grad_norm: 1.8932 2021-06-05 23:35:30,728 - mmaction - INFO - Epoch [18][80/199] lr: 7.500e-05, eta: 1:15:32, time: 0.803, data_time: 0.002, memory: 10389, top1_acc: 0.9750, top5_acc: 1.0000, loss_cls: 0.1547, loss: 0.1547, grad_norm: 1.9097 2021-06-05 23:35:47,130 - mmaction - INFO - Epoch [18][100/199] lr: 7.500e-05, eta: 1:14:13, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.9812, top5_acc: 0.9990, loss_cls: 0.1384, loss: 0.1384, grad_norm: 1.7831 2021-06-05 23:36:03,511 - mmaction - INFO - Epoch [18][120/199] lr: 7.500e-05, eta: 1:12:55, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.9583, top5_acc: 0.9958, loss_cls: 0.1884, loss: 0.1884, grad_norm: 2.2180 2021-06-05 23:36:20,172 - mmaction - INFO - Epoch [18][140/199] lr: 7.500e-05, eta: 1:11:38, time: 0.833, data_time: 0.001, memory: 10389, top1_acc: 0.9823, top5_acc: 0.9969, loss_cls: 0.1370, loss: 0.1370, grad_norm: 1.7410 2021-06-05 23:36:37,063 - mmaction - INFO - Epoch [18][160/199] lr: 7.500e-05, eta: 1:10:22, time: 0.845, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9979, loss_cls: 0.1604, loss: 0.1604, grad_norm: 2.0123 2021-06-05 23:36:54,436 - mmaction - INFO - Epoch [18][180/199] lr: 7.500e-05, eta: 1:09:07, time: 0.868, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9990, loss_cls: 0.1709, loss: 0.1709, grad_norm: 2.0552 2021-06-05 23:37:16,420 - mmaction - INFO - Saving checkpoint at 18 epochs 2021-06-05 23:45:05,140 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-05 23:45:05,210 - mmaction - INFO - top1_acc 0.9455 top5_acc 0.9934 2021-06-05 23:45:05,210 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-05 23:45:05,263 - mmaction - INFO - mean_acc 0.9456 2021-06-05 23:45:05,264 - mmaction - INFO - Epoch(val) [18][199] top1_acc: 0.9455, top5_acc: 0.9934, mean_class_accuracy: 0.9456 2021-06-05 23:52:49,194 - mmaction - INFO - Epoch [19][20/199] lr: 7.500e-05, eta: 1:09:25, time: 23.193, data_time: 22.277, memory: 10389, top1_acc: 0.9771, top5_acc: 0.9990, loss_cls: 0.1461, loss: 0.1461, grad_norm: 1.8374 2021-06-05 23:53:05,102 - mmaction - INFO - Epoch [19][40/199] lr: 7.500e-05, eta: 1:08:08, time: 0.798, data_time: 0.005, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9969, loss_cls: 0.1563, loss: 0.1563, grad_norm: 1.9314 2021-06-05 23:53:21,029 - mmaction - INFO - Epoch [19][60/199] lr: 7.500e-05, eta: 1:06:51, time: 0.796, data_time: 0.001, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9958, loss_cls: 0.1632, loss: 0.1632, grad_norm: 1.9702 2021-06-05 23:53:37,092 - mmaction - INFO - Epoch [19][80/199] lr: 7.500e-05, eta: 1:05:35, time: 0.803, data_time: 0.001, memory: 10389, top1_acc: 0.9760, top5_acc: 0.9969, loss_cls: 0.1531, loss: 0.1531, grad_norm: 1.9094 2021-06-05 23:53:53,410 - mmaction - INFO - Epoch [19][100/199] lr: 7.500e-05, eta: 1:04:20, time: 0.816, data_time: 0.001, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9958, loss_cls: 0.1655, loss: 0.1655, grad_norm: 2.0244 2021-06-05 23:54:09,875 - mmaction - INFO - Epoch [19][120/199] lr: 7.500e-05, eta: 1:03:05, time: 0.823, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9979, loss_cls: 0.1677, loss: 0.1677, grad_norm: 2.0382 2021-06-05 23:54:26,419 - mmaction - INFO - Epoch [19][140/199] lr: 7.500e-05, eta: 1:01:51, time: 0.827, data_time: 0.001, memory: 10389, top1_acc: 0.9760, top5_acc: 0.9969, loss_cls: 0.1611, loss: 0.1611, grad_norm: 1.9752 2021-06-05 23:54:44,138 - mmaction - INFO - Epoch [19][160/199] lr: 7.500e-05, eta: 1:00:38, time: 0.886, data_time: 0.001, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9990, loss_cls: 0.1552, loss: 0.1552, grad_norm: 2.0283 2021-06-05 23:55:01,102 - mmaction - INFO - Epoch [19][180/199] lr: 7.500e-05, eta: 0:59:26, time: 0.848, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9979, loss_cls: 0.1932, loss: 0.1932, grad_norm: 2.2386 2021-06-05 23:55:24,874 - mmaction - INFO - Saving checkpoint at 19 epochs 2021-06-06 00:02:55,206 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 00:02:55,286 - mmaction - INFO - top1_acc 0.9450 top5_acc 0.9944 2021-06-06 00:02:55,286 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 00:02:55,344 - mmaction - INFO - mean_acc 0.9449 2021-06-06 00:02:55,345 - mmaction - INFO - Epoch(val) [19][199] top1_acc: 0.9450, top5_acc: 0.9944, mean_class_accuracy: 0.9449 2021-06-06 00:10:21,378 - mmaction - INFO - Epoch [20][20/199] lr: 7.500e-05, eta: 0:59:13, time: 22.298, data_time: 21.382, memory: 10389, top1_acc: 0.9771, top5_acc: 0.9969, loss_cls: 0.1549, loss: 0.1549, grad_norm: 1.9769 2021-06-06 00:10:37,298 - mmaction - INFO - Epoch [20][40/199] lr: 7.500e-05, eta: 0:57:59, time: 0.799, data_time: 0.005, memory: 10389, top1_acc: 0.9781, top5_acc: 0.9958, loss_cls: 0.1522, loss: 0.1522, grad_norm: 1.9143 2021-06-06 00:10:53,255 - mmaction - INFO - Epoch [20][60/199] lr: 7.500e-05, eta: 0:56:46, time: 0.798, data_time: 0.001, memory: 10389, top1_acc: 0.9719, top5_acc: 0.9979, loss_cls: 0.1623, loss: 0.1623, grad_norm: 1.9850 2021-06-06 00:11:09,318 - mmaction - INFO - Epoch [20][80/199] lr: 7.500e-05, eta: 0:55:33, time: 0.803, data_time: 0.001, memory: 10389, top1_acc: 0.9760, top5_acc: 0.9927, loss_cls: 0.1703, loss: 0.1703, grad_norm: 2.0015 2021-06-06 00:11:25,703 - mmaction - INFO - Epoch [20][100/199] lr: 7.500e-05, eta: 0:54:21, time: 0.819, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9979, loss_cls: 0.1557, loss: 0.1557, grad_norm: 1.9685 2021-06-06 00:11:42,158 - mmaction - INFO - Epoch [20][120/199] lr: 7.500e-05, eta: 0:53:10, time: 0.823, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9979, loss_cls: 0.1570, loss: 0.1570, grad_norm: 1.9311 2021-06-06 00:11:58,648 - mmaction - INFO - Epoch [20][140/199] lr: 7.500e-05, eta: 0:51:59, time: 0.825, data_time: 0.001, memory: 10389, top1_acc: 0.9688, top5_acc: 0.9958, loss_cls: 0.1558, loss: 0.1558, grad_norm: 1.9601 2021-06-06 00:12:15,403 - mmaction - INFO - Epoch [20][160/199] lr: 7.500e-05, eta: 0:50:48, time: 0.838, data_time: 0.001, memory: 10389, top1_acc: 0.9844, top5_acc: 1.0000, loss_cls: 0.1239, loss: 0.1239, grad_norm: 1.8260 2021-06-06 00:12:32,481 - mmaction - INFO - Epoch [20][180/199] lr: 7.500e-05, eta: 0:49:39, time: 0.854, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9969, loss_cls: 0.1570, loss: 0.1570, grad_norm: 1.8765 2021-06-06 00:12:54,195 - mmaction - INFO - Saving checkpoint at 20 epochs 2021-06-06 00:20:35,491 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 00:20:35,566 - mmaction - INFO - top1_acc 0.9450 top5_acc 0.9944 2021-06-06 00:20:35,566 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 00:20:35,622 - mmaction - INFO - mean_acc 0.9454 2021-06-06 00:20:35,623 - mmaction - INFO - Epoch(val) [20][199] top1_acc: 0.9450, top5_acc: 0.9944, mean_class_accuracy: 0.9454 2021-06-06 00:28:03,686 - mmaction - INFO - Epoch [21][20/199] lr: 7.500e-06, eta: 0:49:05, time: 22.401, data_time: 21.489, memory: 10389, top1_acc: 0.9656, top5_acc: 0.9958, loss_cls: 0.1650, loss: 0.1650, grad_norm: 1.9680 2021-06-06 00:28:19,619 - mmaction - INFO - Epoch [21][40/199] lr: 7.500e-06, eta: 0:47:54, time: 0.799, data_time: 0.004, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9969, loss_cls: 0.1591, loss: 0.1591, grad_norm: 2.0243 2021-06-06 00:28:35,595 - mmaction - INFO - Epoch [21][60/199] lr: 7.500e-06, eta: 0:46:44, time: 0.799, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9990, loss_cls: 0.1748, loss: 0.1748, grad_norm: 2.0762 2021-06-06 00:28:51,645 - mmaction - INFO - Epoch [21][80/199] lr: 7.500e-06, eta: 0:45:34, time: 0.803, data_time: 0.001, memory: 10389, top1_acc: 0.9781, top5_acc: 0.9990, loss_cls: 0.1446, loss: 0.1446, grad_norm: 1.9115 2021-06-06 00:29:08,039 - mmaction - INFO - Epoch [21][100/199] lr: 7.500e-06, eta: 0:44:25, time: 0.820, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9969, loss_cls: 0.1533, loss: 0.1533, grad_norm: 1.9601 2021-06-06 00:29:24,461 - mmaction - INFO - Epoch [21][120/199] lr: 7.500e-06, eta: 0:43:16, time: 0.821, data_time: 0.001, memory: 10389, top1_acc: 0.9656, top5_acc: 0.9979, loss_cls: 0.1699, loss: 0.1699, grad_norm: 2.0046 2021-06-06 00:29:41,011 - mmaction - INFO - Epoch [21][140/199] lr: 7.500e-06, eta: 0:42:08, time: 0.827, data_time: 0.001, memory: 10389, top1_acc: 0.9760, top5_acc: 0.9990, loss_cls: 0.1497, loss: 0.1497, grad_norm: 1.9838 2021-06-06 00:29:57,915 - mmaction - INFO - Epoch [21][160/199] lr: 7.500e-06, eta: 0:41:00, time: 0.845, data_time: 0.001, memory: 10389, top1_acc: 0.9594, top5_acc: 0.9969, loss_cls: 0.1947, loss: 0.1947, grad_norm: 2.2551 2021-06-06 00:30:18,085 - mmaction - INFO - Epoch [21][180/199] lr: 7.500e-06, eta: 0:39:54, time: 1.006, data_time: 0.009, memory: 10389, top1_acc: 0.9833, top5_acc: 0.9990, loss_cls: 0.1365, loss: 0.1365, grad_norm: 1.8532 2021-06-06 00:30:39,598 - mmaction - INFO - Saving checkpoint at 21 epochs 2021-06-06 00:37:39,493 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 00:37:39,574 - mmaction - INFO - top1_acc 0.9434 top5_acc 0.9944 2021-06-06 00:37:39,574 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 00:37:39,629 - mmaction - INFO - mean_acc 0.9437 2021-06-06 00:37:39,630 - mmaction - INFO - Epoch(val) [21][199] top1_acc: 0.9434, top5_acc: 0.9944, mean_class_accuracy: 0.9437 2021-06-06 00:45:11,089 - mmaction - INFO - Epoch [22][20/199] lr: 7.500e-06, eta: 0:39:01, time: 22.571, data_time: 21.659, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9958, loss_cls: 0.1537, loss: 0.1537, grad_norm: 1.9815 2021-06-06 00:45:27,056 - mmaction - INFO - Epoch [22][40/199] lr: 7.500e-06, eta: 0:37:53, time: 0.800, data_time: 0.004, memory: 10389, top1_acc: 0.9823, top5_acc: 1.0000, loss_cls: 0.1476, loss: 0.1476, grad_norm: 1.8780 2021-06-06 00:45:42,988 - mmaction - INFO - Epoch [22][60/199] lr: 7.500e-06, eta: 0:36:45, time: 0.797, data_time: 0.001, memory: 10389, top1_acc: 0.9760, top5_acc: 0.9958, loss_cls: 0.1662, loss: 0.1662, grad_norm: 1.9776 2021-06-06 00:45:59,034 - mmaction - INFO - Epoch [22][80/199] lr: 7.500e-06, eta: 0:35:38, time: 0.802, data_time: 0.001, memory: 10389, top1_acc: 0.9677, top5_acc: 0.9990, loss_cls: 0.1615, loss: 0.1615, grad_norm: 2.0490 2021-06-06 00:46:15,357 - mmaction - INFO - Epoch [22][100/199] lr: 7.500e-06, eta: 0:34:31, time: 0.816, data_time: 0.001, memory: 10389, top1_acc: 0.9792, top5_acc: 0.9958, loss_cls: 0.1448, loss: 0.1448, grad_norm: 1.8168 2021-06-06 00:46:31,842 - mmaction - INFO - Epoch [22][120/199] lr: 7.500e-06, eta: 0:33:25, time: 0.824, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9958, loss_cls: 0.1642, loss: 0.1642, grad_norm: 2.0563 2021-06-06 00:46:48,371 - mmaction - INFO - Epoch [22][140/199] lr: 7.500e-06, eta: 0:32:19, time: 0.827, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9948, loss_cls: 0.1684, loss: 0.1684, grad_norm: 2.0758 2021-06-06 00:47:05,059 - mmaction - INFO - Epoch [22][160/199] lr: 7.500e-06, eta: 0:31:14, time: 0.834, data_time: 0.001, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9958, loss_cls: 0.1677, loss: 0.1677, grad_norm: 1.9551 2021-06-06 00:47:22,291 - mmaction - INFO - Epoch [22][180/199] lr: 7.500e-06, eta: 0:30:09, time: 0.862, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9969, loss_cls: 0.1594, loss: 0.1594, grad_norm: 2.0297 2021-06-06 00:47:43,979 - mmaction - INFO - Saving checkpoint at 22 epochs 2021-06-06 00:55:10,266 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 00:55:10,336 - mmaction - INFO - top1_acc 0.9455 top5_acc 0.9944 2021-06-06 00:55:10,336 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 00:55:10,397 - mmaction - INFO - mean_acc 0.9457 2021-06-06 00:55:10,398 - mmaction - INFO - Epoch(val) [22][199] top1_acc: 0.9455, top5_acc: 0.9944, mean_class_accuracy: 0.9457 2021-06-06 01:02:52,186 - mmaction - INFO - Epoch [23][20/199] lr: 7.500e-06, eta: 0:29:00, time: 23.087, data_time: 22.166, memory: 10389, top1_acc: 0.9646, top5_acc: 0.9990, loss_cls: 0.1669, loss: 0.1669, grad_norm: 2.1077 2021-06-06 01:03:08,114 - mmaction - INFO - Epoch [23][40/199] lr: 7.500e-06, eta: 0:27:54, time: 0.798, data_time: 0.004, memory: 10389, top1_acc: 0.9667, top5_acc: 0.9969, loss_cls: 0.1652, loss: 0.1652, grad_norm: 2.0705 2021-06-06 01:03:24,062 - mmaction - INFO - Epoch [23][60/199] lr: 7.500e-06, eta: 0:26:48, time: 0.798, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9990, loss_cls: 0.1558, loss: 0.1558, grad_norm: 1.9460 2021-06-06 01:03:40,147 - mmaction - INFO - Epoch [23][80/199] lr: 7.500e-06, eta: 0:25:43, time: 0.804, data_time: 0.001, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9990, loss_cls: 0.1584, loss: 0.1584, grad_norm: 1.9521 2021-06-06 01:03:56,462 - mmaction - INFO - Epoch [23][100/199] lr: 7.500e-06, eta: 0:24:39, time: 0.816, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9958, loss_cls: 0.1681, loss: 0.1681, grad_norm: 2.0912 2021-06-06 01:04:12,886 - mmaction - INFO - Epoch [23][120/199] lr: 7.500e-06, eta: 0:23:35, time: 0.821, data_time: 0.001, memory: 10389, top1_acc: 0.9802, top5_acc: 0.9979, loss_cls: 0.1460, loss: 0.1460, grad_norm: 1.8609 2021-06-06 01:04:29,545 - mmaction - INFO - Epoch [23][140/199] lr: 7.500e-06, eta: 0:22:31, time: 0.833, data_time: 0.001, memory: 10389, top1_acc: 0.9792, top5_acc: 0.9969, loss_cls: 0.1515, loss: 0.1515, grad_norm: 1.9987 2021-06-06 01:04:47,575 - mmaction - INFO - Epoch [23][160/199] lr: 7.500e-06, eta: 0:21:28, time: 0.902, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9969, loss_cls: 0.1515, loss: 0.1515, grad_norm: 1.9156 2021-06-06 01:05:07,687 - mmaction - INFO - Epoch [23][180/199] lr: 7.500e-06, eta: 0:20:25, time: 1.003, data_time: 0.011, memory: 10389, top1_acc: 0.9625, top5_acc: 0.9948, loss_cls: 0.1867, loss: 0.1867, grad_norm: 2.1567 2021-06-06 01:05:28,847 - mmaction - INFO - Saving checkpoint at 23 epochs 2021-06-06 01:13:15,548 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 01:13:15,618 - mmaction - INFO - top1_acc 0.9440 top5_acc 0.9947 2021-06-06 01:13:15,618 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 01:13:15,671 - mmaction - INFO - mean_acc 0.9434 2021-06-06 01:13:15,672 - mmaction - INFO - Epoch(val) [23][199] top1_acc: 0.9440, top5_acc: 0.9947, mean_class_accuracy: 0.9434 2021-06-06 01:20:46,548 - mmaction - INFO - Epoch [24][20/199] lr: 7.500e-06, eta: 0:18:58, time: 22.542, data_time: 21.629, memory: 10389, top1_acc: 0.9677, top5_acc: 0.9969, loss_cls: 0.1711, loss: 0.1711, grad_norm: 2.0506 2021-06-06 01:21:02,475 - mmaction - INFO - Epoch [24][40/199] lr: 7.500e-06, eta: 0:17:55, time: 0.798, data_time: 0.004, memory: 10389, top1_acc: 0.9688, top5_acc: 0.9979, loss_cls: 0.1566, loss: 0.1566, grad_norm: 1.9758 2021-06-06 01:21:18,412 - mmaction - INFO - Epoch [24][60/199] lr: 7.500e-06, eta: 0:16:51, time: 0.797, data_time: 0.001, memory: 10389, top1_acc: 0.9750, top5_acc: 0.9979, loss_cls: 0.1662, loss: 0.1662, grad_norm: 1.9801 2021-06-06 01:21:34,503 - mmaction - INFO - Epoch [24][80/199] lr: 7.500e-06, eta: 0:15:49, time: 0.804, data_time: 0.001, memory: 10389, top1_acc: 0.9781, top5_acc: 0.9969, loss_cls: 0.1541, loss: 0.1541, grad_norm: 1.8975 2021-06-06 01:21:50,862 - mmaction - INFO - Epoch [24][100/199] lr: 7.500e-06, eta: 0:14:46, time: 0.818, data_time: 0.001, memory: 10389, top1_acc: 0.9812, top5_acc: 0.9979, loss_cls: 0.1538, loss: 0.1538, grad_norm: 1.9341 2021-06-06 01:22:07,290 - mmaction - INFO - Epoch [24][120/199] lr: 7.500e-06, eta: 0:13:44, time: 0.822, data_time: 0.001, memory: 10389, top1_acc: 0.9677, top5_acc: 0.9979, loss_cls: 0.1619, loss: 0.1619, grad_norm: 2.0128 2021-06-06 01:22:23,835 - mmaction - INFO - Epoch [24][140/199] lr: 7.500e-06, eta: 0:12:42, time: 0.827, data_time: 0.001, memory: 10389, top1_acc: 0.9729, top5_acc: 0.9958, loss_cls: 0.1676, loss: 0.1676, grad_norm: 2.0850 2021-06-06 01:22:40,832 - mmaction - INFO - Epoch [24][160/199] lr: 7.500e-06, eta: 0:11:41, time: 0.850, data_time: 0.001, memory: 10389, top1_acc: 0.9792, top5_acc: 0.9969, loss_cls: 0.1457, loss: 0.1457, grad_norm: 1.8439 2021-06-06 01:22:58,144 - mmaction - INFO - Epoch [24][180/199] lr: 7.500e-06, eta: 0:10:40, time: 0.866, data_time: 0.001, memory: 10389, top1_acc: 0.9802, top5_acc: 0.9969, loss_cls: 0.1390, loss: 0.1390, grad_norm: 1.9259 2021-06-06 01:23:19,731 - mmaction - INFO - Saving checkpoint at 24 epochs 2021-06-06 01:30:54,781 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 01:30:54,851 - mmaction - INFO - top1_acc 0.9418 top5_acc 0.9947 2021-06-06 01:30:54,852 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 01:30:54,905 - mmaction - INFO - mean_acc 0.9422 2021-06-06 01:30:54,906 - mmaction - INFO - Epoch(val) [24][199] top1_acc: 0.9418, top5_acc: 0.9947, mean_class_accuracy: 0.9422 2021-06-06 01:38:40,013 - mmaction - INFO - Epoch [25][20/199] lr: 7.500e-06, eta: 0:08:59, time: 23.251, data_time: 22.309, memory: 10389, top1_acc: 0.9781, top5_acc: 0.9938, loss_cls: 0.1430, loss: 0.1430, grad_norm: 1.7954 2021-06-06 01:38:55,961 - mmaction - INFO - Epoch [25][40/199] lr: 7.500e-06, eta: 0:07:57, time: 0.801, data_time: 0.005, memory: 10389, top1_acc: 0.9771, top5_acc: 0.9969, loss_cls: 0.1641, loss: 0.1641, grad_norm: 2.0695 2021-06-06 01:39:11,892 - mmaction - INFO - Epoch [25][60/199] lr: 7.500e-06, eta: 0:06:56, time: 0.797, data_time: 0.001, memory: 10389, top1_acc: 0.9792, top5_acc: 0.9979, loss_cls: 0.1451, loss: 0.1451, grad_norm: 1.9036 2021-06-06 01:39:28,027 - mmaction - INFO - Epoch [25][80/199] lr: 7.500e-06, eta: 0:05:55, time: 0.807, data_time: 0.001, memory: 10389, top1_acc: 0.9812, top5_acc: 0.9990, loss_cls: 0.1476, loss: 0.1476, grad_norm: 1.8988 2021-06-06 01:39:44,363 - mmaction - INFO - Epoch [25][100/199] lr: 7.500e-06, eta: 0:04:54, time: 0.817, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9958, loss_cls: 0.1609, loss: 0.1609, grad_norm: 2.0137 2021-06-06 01:40:00,777 - mmaction - INFO - Epoch [25][120/199] lr: 7.500e-06, eta: 0:03:54, time: 0.821, data_time: 0.001, memory: 10389, top1_acc: 0.9698, top5_acc: 0.9979, loss_cls: 0.1620, loss: 0.1620, grad_norm: 2.0459 2021-06-06 01:40:17,283 - mmaction - INFO - Epoch [25][140/199] lr: 7.500e-06, eta: 0:02:54, time: 0.825, data_time: 0.001, memory: 10389, top1_acc: 0.9740, top5_acc: 0.9990, loss_cls: 0.1454, loss: 0.1454, grad_norm: 1.9122 2021-06-06 01:40:33,932 - mmaction - INFO - Epoch [25][160/199] lr: 7.500e-06, eta: 0:01:55, time: 0.833, data_time: 0.002, memory: 10389, top1_acc: 0.9729, top5_acc: 1.0000, loss_cls: 0.1518, loss: 0.1518, grad_norm: 1.9915 2021-06-06 01:40:51,676 - mmaction - INFO - Epoch [25][180/199] lr: 7.500e-06, eta: 0:00:55, time: 0.887, data_time: 0.001, memory: 10389, top1_acc: 0.9708, top5_acc: 0.9948, loss_cls: 0.1657, loss: 0.1657, grad_norm: 2.1100 2021-06-06 01:41:13,282 - mmaction - INFO - Saving checkpoint at 25 epochs 2021-06-06 01:48:44,544 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 01:48:44,613 - mmaction - INFO - top1_acc 0.9445 top5_acc 0.9955 2021-06-06 01:48:44,614 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 01:48:44,667 - mmaction - INFO - mean_acc 0.9447 2021-06-06 01:48:44,668 - mmaction - INFO - Epoch(val) [25][199] top1_acc: 0.9445, top5_acc: 0.9955, mean_class_accuracy: 0.9447