2021-06-05 18:52:59,100 - 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 18:52:59,101 - mmaction - INFO - Distributed training: True 2021-06-05 18:53:00,132 - mmaction - INFO - Config: checkpoint_config = dict(interval=1, max_keep_ckpts=5) log_config = dict(interval=20, hooks=[dict(type='TextLoggerHook')]) dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] model = dict( type='Recognizer3D', backbone=dict( type='ResNet3dSlowOnly', depth=50, pretrained='torchvision://resnet50', lateral=False, with_pool2=False, conv1_kernel=(1, 7, 7), conv1_stride_t=1, pool1_stride_t=1, inflate=(0, 0, 1, 1), norm_eval=False), cls_head=dict( type='I3DHead', in_channels=2048, num_classes=51, spatial_type='avg', dropout_ratio=0.5), train_cfg=None, test_cfg=dict(average_clips='prob')) split = 1 dataset_type = 'RawframeDataset' data_root = 'data/hmdb51/rawframes' data_root_val = 'data/hmdb51/rawframes' ann_file_train = 'data/hmdb51/hmdb51_rgb_train_split_1.txt' ann_file_val = 'data/hmdb51/hmdb51_rgb_val_split_1.txt' ann_file_test = 'data/hmdb51/hmdb51_rgb_val_split_1.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=8, frame_interval=4, num_clips=1), 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='RandomResizedCrop'), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), 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='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ] val_pipeline = [ dict( type='SampleFrames', clip_len=8, frame_interval=4, num_clips=1, 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='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ] test_pipeline = [ dict( type='SampleFrames', clip_len=8, frame_interval=4, num_clips=1, 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='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ] data = dict( videos_per_gpu=8, workers_per_gpu=4, train=dict( type='RawframeDataset', ann_file='data/hmdb51/hmdb51_rgb_train_split_1.txt', data_prefix='data/hmdb51/rawframes', pipeline=[ dict( type='SampleFrames', clip_len=8, frame_interval=4, num_clips=1), 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='RandomResizedCrop'), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), 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='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs', 'label']) ]), val=dict( type='RawframeDataset', ann_file='data/hmdb51/hmdb51_rgb_val_split_1.txt', data_prefix='data/hmdb51/rawframes', pipeline=[ dict( type='SampleFrames', clip_len=8, frame_interval=4, num_clips=1, 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='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ]), test=dict( type='RawframeDataset', ann_file='data/hmdb51/hmdb51_rgb_val_split_1.txt', data_prefix='data/hmdb51/rawframes', pipeline=[ dict( type='SampleFrames', clip_len=8, frame_interval=4, num_clips=1, 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='NCTHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ])) evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], start=40, gpu_collect=True) optimizer = dict(type='SGD', lr=0.1, momentum=0.9, weight_decay=0.0001) optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2)) lr_config = dict(policy='CosineAnnealing', min_lr=0, by_epoch=False) total_epochs = 64 work_dir = './work_dirs/slowonly_r50_8x4x1_64e_hmdb51_rgb' find_unused_parameters = False gpu_ids = range(0, 8) omnisource = False module_hooks = [] 2021-06-05 18:53:01,850 - mmaction - INFO - load model from: torchvision://resnet50 2021-06-05 18:53:21,569 - mmaction - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2021-06-05 18:53:23,049 - mmaction - INFO - Start running, host: linjintao@SH-IDC1-10-5-30-169, work_dir: /mnt/lustre/linjintao/try/mmaction2_dev/work_dirs/slowonly_r50_8x4x1_64e_hmdb51_rgb 2021-06-05 18:53:23,049 - mmaction - INFO - workflow: [('train', 1)], max: 64 epochs 2021-06-05 19:01:10,920 - mmaction - INFO - Epoch [1][20/56] lr: 9.999e-02, eta: 23:09:25, time: 23.391, data_time: 22.555, memory: 5812, top1_acc: 0.0305, top5_acc: 0.1523, loss_cls: 4.3893, loss: 4.3893, grad_norm: 5.1877 2021-06-05 19:01:23,495 - mmaction - INFO - Epoch [1][40/56] lr: 9.997e-02, eta: 11:49:26, time: 0.631, data_time: 0.004, memory: 5812, top1_acc: 0.0258, top5_acc: 0.1258, loss_cls: 4.0444, loss: 4.0444, grad_norm: 1.5437 2021-06-05 19:01:38,434 - mmaction - INFO - Saving checkpoint at 1 epochs 2021-06-05 19:09:19,421 - mmaction - INFO - Epoch [2][20/56] lr: 9.989e-02, eta: 12:03:15, time: 22.985, data_time: 22.239, memory: 5812, top1_acc: 0.0422, top5_acc: 0.1586, loss_cls: 3.8351, loss: 3.8351, grad_norm: 1.1840 2021-06-05 19:09:31,940 - mmaction - INFO - Epoch [2][40/56] lr: 9.983e-02, eta: 9:36:54, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.0461, top5_acc: 0.2078, loss_cls: 3.7671, loss: 3.7671, grad_norm: 1.0838 2021-06-05 19:09:46,536 - mmaction - INFO - Saving checkpoint at 2 epochs 2021-06-05 19:17:20,335 - mmaction - INFO - Epoch [3][20/56] lr: 9.967e-02, eta: 10:12:28, time: 22.625, data_time: 21.895, memory: 5812, top1_acc: 0.0469, top5_acc: 0.2047, loss_cls: 3.8295, loss: 3.8295, grad_norm: 1.6010 2021-06-05 19:17:32,940 - mmaction - INFO - Epoch [3][40/56] lr: 9.956e-02, eta: 8:53:33, time: 0.633, data_time: 0.005, memory: 5812, top1_acc: 0.0484, top5_acc: 0.2102, loss_cls: 3.7716, loss: 3.7716, grad_norm: 1.0929 2021-06-05 19:17:47,571 - mmaction - INFO - Saving checkpoint at 3 epochs 2021-06-05 19:25:22,613 - mmaction - INFO - Epoch [4][20/56] lr: 9.933e-02, eta: 9:23:28, time: 22.688, data_time: 21.962, memory: 5812, top1_acc: 0.0586, top5_acc: 0.2477, loss_cls: 3.6605, loss: 3.6605, grad_norm: 1.1494 2021-06-05 19:25:35,116 - mmaction - INFO - Epoch [4][40/56] lr: 9.918e-02, eta: 8:29:41, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.0680, top5_acc: 0.2664, loss_cls: 3.6552, loss: 3.6552, grad_norm: 1.1160 2021-06-05 19:25:49,594 - mmaction - INFO - Saving checkpoint at 4 epochs 2021-06-05 19:33:18,970 - mmaction - INFO - Epoch [5][20/56] lr: 9.887e-02, eta: 8:52:05, time: 22.406, data_time: 21.672, memory: 5812, top1_acc: 0.0766, top5_acc: 0.2836, loss_cls: 3.5455, loss: 3.5455, grad_norm: 1.0424 2021-06-05 19:33:31,550 - mmaction - INFO - Epoch [5][40/56] lr: 9.868e-02, eta: 8:11:28, time: 0.631, data_time: 0.003, memory: 5812, top1_acc: 0.0766, top5_acc: 0.2891, loss_cls: 3.5692, loss: 3.5692, grad_norm: 1.1296 2021-06-05 19:33:46,044 - mmaction - INFO - Saving checkpoint at 5 epochs 2021-06-05 19:41:11,965 - mmaction - INFO - Epoch [6][20/56] lr: 9.829e-02, eta: 8:28:56, time: 22.233, data_time: 21.501, memory: 5812, top1_acc: 0.0961, top5_acc: 0.3438, loss_cls: 3.4678, loss: 3.4678, grad_norm: 1.2459 2021-06-05 19:41:24,509 - mmaction - INFO - Epoch [6][40/56] lr: 9.806e-02, eta: 7:56:21, time: 0.628, data_time: 0.002, memory: 5812, top1_acc: 0.0961, top5_acc: 0.3383, loss_cls: 3.4809, loss: 3.4809, grad_norm: 1.1885 2021-06-05 19:41:38,985 - mmaction - INFO - Saving checkpoint at 6 epochs 2021-06-05 19:48:59,237 - mmaction - INFO - Epoch [7][20/56] lr: 9.760e-02, eta: 8:09:48, time: 21.949, data_time: 21.231, memory: 5812, top1_acc: 0.1172, top5_acc: 0.3828, loss_cls: 3.3398, loss: 3.3398, grad_norm: 1.2418 2021-06-05 19:49:11,757 - mmaction - INFO - Epoch [7][40/56] lr: 9.732e-02, eta: 7:42:39, time: 0.627, data_time: 0.004, memory: 5812, top1_acc: 0.1172, top5_acc: 0.3977, loss_cls: 3.3719, loss: 3.3719, grad_norm: 1.1763 2021-06-05 19:49:24,840 - mmaction - INFO - Saving checkpoint at 7 epochs 2021-06-05 19:57:00,234 - mmaction - INFO - Epoch [8][20/56] lr: 9.679e-02, eta: 7:55:46, time: 22.706, data_time: 21.963, memory: 5812, top1_acc: 0.1453, top5_acc: 0.4383, loss_cls: 3.2636, loss: 3.2636, grad_norm: 1.2665 2021-06-05 19:57:12,827 - mmaction - INFO - Epoch [8][40/56] lr: 9.647e-02, eta: 7:32:24, time: 0.631, data_time: 0.003, memory: 5812, top1_acc: 0.1242, top5_acc: 0.4133, loss_cls: 3.2944, loss: 3.2944, grad_norm: 1.2565 2021-06-05 19:57:27,587 - mmaction - INFO - Saving checkpoint at 8 epochs 2021-06-05 20:05:15,039 - mmaction - INFO - Epoch [9][20/56] lr: 9.587e-02, eta: 7:44:34, time: 23.308, data_time: 22.550, memory: 5812, top1_acc: 0.1461, top5_acc: 0.4313, loss_cls: 3.2368, loss: 3.2368, grad_norm: 1.3103 2021-06-05 20:05:27,521 - mmaction - INFO - Epoch [9][40/56] lr: 9.551e-02, eta: 7:24:00, time: 0.627, data_time: 0.005, memory: 5812, top1_acc: 0.1328, top5_acc: 0.4461, loss_cls: 3.2294, loss: 3.2294, grad_norm: 1.2912 2021-06-05 20:05:42,769 - mmaction - INFO - Saving checkpoint at 9 epochs 2021-06-05 20:13:20,874 - mmaction - INFO - Epoch [10][20/56] lr: 9.484e-02, eta: 7:33:08, time: 22.839, data_time: 22.097, memory: 5812, top1_acc: 0.1648, top5_acc: 0.4422, loss_cls: 3.2128, loss: 3.2128, grad_norm: 1.4619 2021-06-05 20:13:33,392 - mmaction - INFO - Epoch [10][40/56] lr: 9.444e-02, eta: 7:14:48, time: 0.627, data_time: 0.004, memory: 5812, top1_acc: 0.1516, top5_acc: 0.4594, loss_cls: 3.1761, loss: 3.1761, grad_norm: 1.3160 2021-06-05 20:13:48,148 - mmaction - INFO - Saving checkpoint at 10 epochs 2021-06-05 20:21:19,587 - mmaction - INFO - Epoch [11][20/56] lr: 9.370e-02, eta: 7:21:50, time: 22.508, data_time: 21.766, memory: 5812, top1_acc: 0.1828, top5_acc: 0.4914, loss_cls: 3.1044, loss: 3.1044, grad_norm: 1.4062 2021-06-05 20:21:32,175 - mmaction - INFO - Epoch [11][40/56] lr: 9.326e-02, eta: 7:05:19, time: 0.631, data_time: 0.003, memory: 5812, top1_acc: 0.1742, top5_acc: 0.4695, loss_cls: 3.1514, loss: 3.1514, grad_norm: 1.3904 2021-06-05 20:21:46,915 - mmaction - INFO - Saving checkpoint at 11 epochs 2021-06-05 20:29:13,386 - mmaction - INFO - Epoch [12][20/56] lr: 9.245e-02, eta: 7:10:47, time: 22.260, data_time: 21.515, memory: 5812, top1_acc: 0.2023, top5_acc: 0.5320, loss_cls: 2.9773, loss: 2.9773, grad_norm: 1.6166 2021-06-05 20:29:25,856 - mmaction - INFO - Epoch [12][40/56] lr: 9.198e-02, eta: 6:55:45, time: 0.625, data_time: 0.003, memory: 5812, top1_acc: 0.2047, top5_acc: 0.4898, loss_cls: 3.0487, loss: 3.0487, grad_norm: 1.5573 2021-06-05 20:29:40,605 - mmaction - INFO - Saving checkpoint at 12 epochs 2021-06-05 20:37:13,947 - mmaction - INFO - Epoch [13][20/56] lr: 9.111e-02, eta: 7:00:46, time: 22.604, data_time: 21.864, memory: 5812, top1_acc: 0.1945, top5_acc: 0.5258, loss_cls: 2.9785, loss: 2.9785, grad_norm: 1.4715 2021-06-05 20:37:26,462 - mmaction - INFO - Epoch [13][40/56] lr: 9.060e-02, eta: 6:46:58, time: 0.627, data_time: 0.002, memory: 5812, top1_acc: 0.2172, top5_acc: 0.5281, loss_cls: 2.9460, loss: 2.9460, grad_norm: 1.5842 2021-06-05 20:37:41,198 - mmaction - INFO - Saving checkpoint at 13 epochs 2021-06-05 20:45:18,599 - mmaction - INFO - Epoch [14][20/56] lr: 8.966e-02, eta: 6:51:20, time: 22.807, data_time: 22.068, memory: 5812, top1_acc: 0.2375, top5_acc: 0.5789, loss_cls: 2.8278, loss: 2.8278, grad_norm: 1.6330 2021-06-05 20:45:31,085 - mmaction - INFO - Epoch [14][40/56] lr: 8.912e-02, eta: 6:38:34, time: 0.626, data_time: 0.003, memory: 5812, top1_acc: 0.2039, top5_acc: 0.5328, loss_cls: 2.9784, loss: 2.9784, grad_norm: 1.5889 2021-06-05 20:45:46,355 - mmaction - INFO - Saving checkpoint at 14 epochs 2021-06-05 20:53:04,474 - mmaction - INFO - Epoch [15][20/56] lr: 8.812e-02, eta: 6:41:02, time: 21.842, data_time: 21.097, memory: 5812, top1_acc: 0.2383, top5_acc: 0.5664, loss_cls: 2.8258, loss: 2.8258, grad_norm: 1.6918 2021-06-05 20:53:16,999 - mmaction - INFO - Epoch [15][40/56] lr: 8.754e-02, eta: 6:29:11, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.2375, top5_acc: 0.5617, loss_cls: 2.8769, loss: 2.8769, grad_norm: 1.6668 2021-06-05 20:53:31,736 - mmaction - INFO - Saving checkpoint at 15 epochs 2021-06-05 21:00:48,015 - mmaction - INFO - Epoch [16][20/56] lr: 8.648e-02, eta: 6:30:59, time: 21.751, data_time: 21.011, memory: 5812, top1_acc: 0.2578, top5_acc: 0.5883, loss_cls: 2.7917, loss: 2.7917, grad_norm: 1.5896 2021-06-05 21:01:00,523 - mmaction - INFO - Epoch [16][40/56] lr: 8.588e-02, eta: 6:19:56, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.2531, top5_acc: 0.5781, loss_cls: 2.7430, loss: 2.7430, grad_norm: 1.7538 2021-06-05 21:01:15,325 - mmaction - INFO - Saving checkpoint at 16 epochs 2021-06-05 21:08:58,234 - mmaction - INFO - Epoch [17][20/56] lr: 8.476e-02, eta: 6:22:33, time: 23.082, data_time: 22.340, memory: 5812, top1_acc: 0.2703, top5_acc: 0.5969, loss_cls: 2.7041, loss: 2.7041, grad_norm: 1.7743 2021-06-05 21:09:10,764 - mmaction - INFO - Epoch [17][40/56] lr: 8.413e-02, eta: 6:12:10, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.2477, top5_acc: 0.5883, loss_cls: 2.7413, loss: 2.7413, grad_norm: 1.6508 2021-06-05 21:09:25,522 - mmaction - INFO - Saving checkpoint at 17 epochs 2021-06-05 21:17:05,567 - mmaction - INFO - Epoch [18][20/56] lr: 8.296e-02, eta: 6:14:04, time: 22.939, data_time: 22.204, memory: 5812, top1_acc: 0.2852, top5_acc: 0.6188, loss_cls: 2.6597, loss: 2.6597, grad_norm: 1.7294 2021-06-05 21:17:18,118 - mmaction - INFO - Epoch [18][40/56] lr: 8.229e-02, eta: 6:04:16, time: 0.629, data_time: 0.003, memory: 5812, top1_acc: 0.2734, top5_acc: 0.5938, loss_cls: 2.6978, loss: 2.6978, grad_norm: 1.7169 2021-06-05 21:17:32,836 - mmaction - INFO - Saving checkpoint at 18 epochs 2021-06-05 21:24:51,168 - mmaction - INFO - Epoch [19][20/56] lr: 8.107e-02, eta: 6:04:44, time: 21.853, data_time: 21.136, memory: 5812, top1_acc: 0.3242, top5_acc: 0.6586, loss_cls: 2.5769, loss: 2.5769, grad_norm: 1.8497 2021-06-05 21:25:05,367 - mmaction - INFO - Epoch [19][40/56] lr: 8.038e-02, eta: 5:55:33, time: 0.709, data_time: 0.003, memory: 5812, top1_acc: 0.3133, top5_acc: 0.6352, loss_cls: 2.5717, loss: 2.5717, grad_norm: 1.8260 2021-06-05 21:25:19,260 - mmaction - INFO - Saving checkpoint at 19 epochs 2021-06-05 21:32:36,064 - mmaction - INFO - Epoch [20][20/56] lr: 7.911e-02, eta: 5:55:36, time: 21.777, data_time: 21.041, memory: 5812, top1_acc: 0.3281, top5_acc: 0.6562, loss_cls: 2.5164, loss: 2.5164, grad_norm: 1.7678 2021-06-05 21:32:48,584 - mmaction - INFO - Epoch [20][40/56] lr: 7.839e-02, eta: 5:46:50, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.3047, top5_acc: 0.6242, loss_cls: 2.5932, loss: 2.5932, grad_norm: 1.8695 2021-06-05 21:33:03,500 - mmaction - INFO - Saving checkpoint at 20 epochs 2021-06-05 21:40:47,393 - mmaction - INFO - Epoch [21][20/56] lr: 7.708e-02, eta: 5:47:32, time: 23.132, data_time: 22.393, memory: 5812, top1_acc: 0.3484, top5_acc: 0.6930, loss_cls: 2.3921, loss: 2.3921, grad_norm: 1.8539 2021-06-05 21:40:59,977 - mmaction - INFO - Epoch [21][40/56] lr: 7.634e-02, eta: 5:39:11, time: 0.630, data_time: 0.002, memory: 5812, top1_acc: 0.3312, top5_acc: 0.6578, loss_cls: 2.4696, loss: 2.4696, grad_norm: 1.8004 2021-06-05 21:41:14,716 - mmaction - INFO - Saving checkpoint at 21 epochs 2021-06-05 21:48:56,756 - mmaction - INFO - Epoch [22][20/56] lr: 7.499e-02, eta: 5:39:25, time: 23.038, data_time: 22.294, memory: 5812, top1_acc: 0.3531, top5_acc: 0.6617, loss_cls: 2.4534, loss: 2.4534, grad_norm: 1.8789 2021-06-05 21:49:09,255 - mmaction - INFO - Epoch [22][40/56] lr: 7.422e-02, eta: 5:31:27, time: 0.626, data_time: 0.003, memory: 5812, top1_acc: 0.3570, top5_acc: 0.6805, loss_cls: 2.3693, loss: 2.3693, grad_norm: 1.8224 2021-06-05 21:49:24,031 - mmaction - INFO - Saving checkpoint at 22 epochs 2021-06-05 21:57:04,367 - mmaction - INFO - Epoch [23][20/56] lr: 7.283e-02, eta: 5:31:17, time: 22.954, data_time: 22.213, memory: 5812, top1_acc: 0.3609, top5_acc: 0.6898, loss_cls: 2.3329, loss: 2.3329, grad_norm: 1.8128 2021-06-05 21:57:16,862 - mmaction - INFO - Epoch [23][40/56] lr: 7.205e-02, eta: 5:23:39, time: 0.626, data_time: 0.003, memory: 5812, top1_acc: 0.3531, top5_acc: 0.6867, loss_cls: 2.3450, loss: 2.3450, grad_norm: 1.9337 2021-06-05 21:57:31,654 - mmaction - INFO - Saving checkpoint at 23 epochs 2021-06-05 22:05:18,100 - mmaction - INFO - Epoch [24][20/56] lr: 7.062e-02, eta: 5:23:20, time: 23.260, data_time: 22.520, memory: 5812, top1_acc: 0.3992, top5_acc: 0.7344, loss_cls: 2.2272, loss: 2.2272, grad_norm: 1.8561 2021-06-05 22:05:30,629 - mmaction - INFO - Epoch [24][40/56] lr: 6.982e-02, eta: 5:16:01, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.3711, top5_acc: 0.6875, loss_cls: 2.3136, loss: 2.3136, grad_norm: 1.8880 2021-06-05 22:05:45,861 - mmaction - INFO - Saving checkpoint at 24 epochs 2021-06-05 22:13:33,464 - mmaction - INFO - Epoch [25][20/56] lr: 6.836e-02, eta: 5:15:25, time: 23.317, data_time: 22.579, memory: 5812, top1_acc: 0.4188, top5_acc: 0.7211, loss_cls: 2.1571, loss: 2.1571, grad_norm: 1.8234 2021-06-05 22:13:45,997 - mmaction - INFO - Epoch [25][40/56] lr: 6.754e-02, eta: 5:08:24, time: 0.628, data_time: 0.004, memory: 5812, top1_acc: 0.4047, top5_acc: 0.7211, loss_cls: 2.2127, loss: 2.2127, grad_norm: 1.9428 2021-06-05 22:14:00,687 - mmaction - INFO - Saving checkpoint at 25 epochs 2021-06-05 22:21:43,266 - mmaction - INFO - Epoch [26][20/56] lr: 6.606e-02, eta: 5:07:22, time: 23.066, data_time: 22.326, memory: 5812, top1_acc: 0.4273, top5_acc: 0.7383, loss_cls: 2.0854, loss: 2.0854, grad_norm: 1.9709 2021-06-05 22:21:55,808 - mmaction - INFO - Epoch [26][40/56] lr: 6.523e-02, eta: 5:00:37, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.3883, top5_acc: 0.7195, loss_cls: 2.2500, loss: 2.2500, grad_norm: 2.0245 2021-06-05 22:22:10,565 - mmaction - INFO - Saving checkpoint at 26 epochs 2021-06-05 22:29:46,400 - mmaction - INFO - Epoch [27][20/56] lr: 6.372e-02, eta: 4:59:11, time: 22.728, data_time: 21.989, memory: 5812, top1_acc: 0.4070, top5_acc: 0.7336, loss_cls: 2.1561, loss: 2.1561, grad_norm: 2.0524 2021-06-05 22:29:58,941 - mmaction - INFO - Epoch [27][40/56] lr: 6.287e-02, eta: 4:52:40, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.4016, top5_acc: 0.7211, loss_cls: 2.1832, loss: 2.1832, grad_norm: 1.9722 2021-06-05 22:30:13,950 - mmaction - INFO - Saving checkpoint at 27 epochs 2021-06-05 22:37:56,689 - mmaction - INFO - Epoch [28][20/56] lr: 6.134e-02, eta: 4:51:10, time: 23.072, data_time: 22.322, memory: 5812, top1_acc: 0.4328, top5_acc: 0.7492, loss_cls: 2.0315, loss: 2.0315, grad_norm: 2.0603 2021-06-05 22:38:09,229 - mmaction - INFO - Epoch [28][40/56] lr: 6.048e-02, eta: 4:44:53, time: 0.630, data_time: 0.004, memory: 5812, top1_acc: 0.3984, top5_acc: 0.7320, loss_cls: 2.1534, loss: 2.1534, grad_norm: 2.0632 2021-06-05 22:38:23,978 - mmaction - INFO - Saving checkpoint at 28 epochs 2021-06-05 22:46:06,548 - mmaction - INFO - Epoch [29][20/56] lr: 5.894e-02, eta: 4:43:09, time: 23.065, data_time: 22.326, memory: 5812, top1_acc: 0.4305, top5_acc: 0.7570, loss_cls: 2.0040, loss: 2.0040, grad_norm: 2.0651 2021-06-05 22:46:19,061 - mmaction - INFO - Epoch [29][40/56] lr: 5.807e-02, eta: 4:37:05, time: 0.626, data_time: 0.003, memory: 5812, top1_acc: 0.4344, top5_acc: 0.7578, loss_cls: 2.0616, loss: 2.0616, grad_norm: 2.0187 2021-06-05 22:46:33,628 - mmaction - INFO - Saving checkpoint at 29 epochs 2021-06-05 22:53:46,144 - mmaction - INFO - Epoch [30][20/56] lr: 5.651e-02, eta: 4:34:34, time: 21.563, data_time: 20.842, memory: 5812, top1_acc: 0.4898, top5_acc: 0.7922, loss_cls: 1.8594, loss: 1.8594, grad_norm: 1.9934 2021-06-05 22:53:58,668 - mmaction - INFO - Epoch [30][40/56] lr: 5.564e-02, eta: 4:28:43, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.4469, top5_acc: 0.7664, loss_cls: 1.9842, loss: 1.9842, grad_norm: 2.1105 2021-06-05 22:54:11,885 - mmaction - INFO - Saving checkpoint at 30 epochs 2021-06-05 23:01:47,110 - mmaction - INFO - Epoch [31][20/56] lr: 5.407e-02, eta: 4:26:28, time: 22.698, data_time: 21.961, memory: 5812, top1_acc: 0.4984, top5_acc: 0.7680, loss_cls: 1.8920, loss: 1.8920, grad_norm: 2.0719 2021-06-05 23:01:59,643 - mmaction - INFO - Epoch [31][40/56] lr: 5.320e-02, eta: 4:20:48, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.4547, top5_acc: 0.7719, loss_cls: 1.9916, loss: 1.9916, grad_norm: 2.1905 2021-06-05 23:02:14,411 - mmaction - INFO - Saving checkpoint at 31 epochs 2021-06-05 23:09:47,872 - mmaction - INFO - Epoch [32][20/56] lr: 5.162e-02, eta: 4:18:22, time: 22.610, data_time: 21.869, memory: 5812, top1_acc: 0.4836, top5_acc: 0.7836, loss_cls: 1.8716, loss: 1.8716, grad_norm: 2.0751 2021-06-05 23:10:00,406 - mmaction - INFO - Epoch [32][40/56] lr: 5.075e-02, eta: 4:12:53, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.4914, top5_acc: 0.7922, loss_cls: 1.8502, loss: 1.8502, grad_norm: 2.2009 2021-06-05 23:10:16,932 - mmaction - INFO - Saving checkpoint at 32 epochs 2021-06-05 23:18:01,124 - mmaction - INFO - Epoch [33][20/56] lr: 4.917e-02, eta: 4:10:28, time: 23.146, data_time: 22.409, memory: 5812, top1_acc: 0.5203, top5_acc: 0.7828, loss_cls: 1.8010, loss: 1.8010, grad_norm: 2.1278 2021-06-05 23:18:13,615 - mmaction - INFO - Epoch [33][40/56] lr: 4.829e-02, eta: 4:05:08, time: 0.625, data_time: 0.003, memory: 5812, top1_acc: 0.4773, top5_acc: 0.7859, loss_cls: 1.8565, loss: 1.8565, grad_norm: 2.5144 2021-06-05 23:18:28,386 - mmaction - INFO - Saving checkpoint at 33 epochs 2021-06-05 23:25:50,397 - mmaction - INFO - Epoch [34][20/56] lr: 4.672e-02, eta: 4:02:13, time: 22.037, data_time: 21.298, memory: 5812, top1_acc: 0.5070, top5_acc: 0.8008, loss_cls: 1.8004, loss: 1.8004, grad_norm: 2.1700 2021-06-05 23:26:02,908 - mmaction - INFO - Epoch [34][40/56] lr: 4.584e-02, eta: 3:57:03, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.4688, top5_acc: 0.7789, loss_cls: 1.8626, loss: 1.8626, grad_norm: 2.2074 2021-06-05 23:26:17,901 - mmaction - INFO - Saving checkpoint at 34 epochs 2021-06-05 23:33:55,657 - mmaction - INFO - Epoch [35][20/56] lr: 4.427e-02, eta: 3:54:14, time: 22.824, data_time: 22.077, memory: 5812, top1_acc: 0.5289, top5_acc: 0.8109, loss_cls: 1.7132, loss: 1.7132, grad_norm: 2.2973 2021-06-05 23:34:08,174 - mmaction - INFO - Epoch [35][40/56] lr: 4.340e-02, eta: 3:49:13, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.5266, top5_acc: 0.8000, loss_cls: 1.7148, loss: 1.7148, grad_norm: 2.1691 2021-06-05 23:34:22,894 - mmaction - INFO - Saving checkpoint at 35 epochs 2021-06-05 23:42:06,006 - mmaction - INFO - Epoch [36][20/56] lr: 4.184e-02, eta: 3:46:20, time: 23.091, data_time: 22.340, memory: 5812, top1_acc: 0.5367, top5_acc: 0.8148, loss_cls: 1.6709, loss: 1.6709, grad_norm: 2.2013 2021-06-05 23:42:18,513 - mmaction - INFO - Epoch [36][40/56] lr: 4.098e-02, eta: 3:41:27, time: 0.629, data_time: 0.005, memory: 5812, top1_acc: 0.5266, top5_acc: 0.8016, loss_cls: 1.7157, loss: 1.7157, grad_norm: 2.2798 2021-06-05 23:42:33,185 - mmaction - INFO - Saving checkpoint at 36 epochs 2021-06-05 23:49:53,320 - mmaction - INFO - Epoch [37][20/56] lr: 3.943e-02, eta: 3:38:09, time: 21.938, data_time: 21.218, memory: 5812, top1_acc: 0.5523, top5_acc: 0.8070, loss_cls: 1.6574, loss: 1.6574, grad_norm: 2.3361 2021-06-05 23:50:05,851 - mmaction - INFO - Epoch [37][40/56] lr: 3.858e-02, eta: 3:33:23, time: 0.630, data_time: 0.005, memory: 5812, top1_acc: 0.5375, top5_acc: 0.8313, loss_cls: 1.6373, loss: 1.6373, grad_norm: 2.3116 2021-06-05 23:50:19,040 - mmaction - INFO - Saving checkpoint at 37 epochs 2021-06-05 23:57:55,838 - mmaction - INFO - Epoch [38][20/56] lr: 3.704e-02, eta: 3:30:11, time: 22.775, data_time: 22.023, memory: 5812, top1_acc: 0.5656, top5_acc: 0.8469, loss_cls: 1.5654, loss: 1.5654, grad_norm: 2.3146 2021-06-05 23:58:08,385 - mmaction - INFO - Epoch [38][40/56] lr: 3.620e-02, eta: 3:25:33, time: 0.630, data_time: 0.004, memory: 5812, top1_acc: 0.5406, top5_acc: 0.8109, loss_cls: 1.6684, loss: 1.6684, grad_norm: 2.3238 2021-06-05 23:58:23,189 - mmaction - INFO - Saving checkpoint at 38 epochs 2021-06-06 00:06:09,848 - mmaction - INFO - Epoch [39][20/56] lr: 3.469e-02, eta: 3:22:21, time: 23.267, data_time: 22.514, memory: 5812, top1_acc: 0.5758, top5_acc: 0.8516, loss_cls: 1.5128, loss: 1.5128, grad_norm: 2.3948 2021-06-06 00:06:22,350 - mmaction - INFO - Epoch [39][40/56] lr: 3.386e-02, eta: 3:17:50, time: 0.628, data_time: 0.005, memory: 5812, top1_acc: 0.5609, top5_acc: 0.8344, loss_cls: 1.5748, loss: 1.5748, grad_norm: 2.3359 2021-06-06 00:06:37,406 - mmaction - INFO - Saving checkpoint at 39 epochs 2021-06-06 00:14:15,350 - mmaction - INFO - Epoch [40][20/56] lr: 3.237e-02, eta: 3:14:25, time: 22.832, data_time: 22.097, memory: 5812, top1_acc: 0.5969, top5_acc: 0.8586, loss_cls: 1.4443, loss: 1.4443, grad_norm: 2.3018 2021-06-06 00:14:27,865 - mmaction - INFO - Epoch [40][40/56] lr: 3.156e-02, eta: 3:10:00, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.5414, top5_acc: 0.8273, loss_cls: 1.5828, loss: 1.5828, grad_norm: 2.4598 2021-06-06 00:14:42,661 - mmaction - INFO - Saving checkpoint at 40 epochs 2021-06-06 00:22:37,498 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 00:22:37,551 - mmaction - INFO - top1_acc 0.2908 top5_acc 0.6314 2021-06-06 00:22:37,552 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 00:22:37,612 - mmaction - INFO - mean_acc 0.2908 2021-06-06 00:22:38,799 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_40.pth. 2021-06-06 00:22:38,800 - mmaction - INFO - Best top1_acc is 0.2908 at 40 epoch. 2021-06-06 00:22:38,816 - mmaction - INFO - Epoch(val) [40][56] top1_acc: 0.2908, top5_acc: 0.6314, mean_class_accuracy: 0.2908 2021-06-06 00:30:25,598 - mmaction - INFO - Epoch [41][20/56] lr: 3.010e-02, eta: 3:06:35, time: 23.337, data_time: 22.600, memory: 5812, top1_acc: 0.6094, top5_acc: 0.8539, loss_cls: 1.4229, loss: 1.4229, grad_norm: 2.3368 2021-06-06 00:30:38,127 - mmaction - INFO - Epoch [41][40/56] lr: 2.930e-02, eta: 3:02:16, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.5875, top5_acc: 0.8391, loss_cls: 1.5036, loss: 1.5036, grad_norm: 2.5288 2021-06-06 00:30:52,970 - mmaction - INFO - Saving checkpoint at 41 epochs 2021-06-06 00:38:35,482 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 00:38:35,538 - mmaction - INFO - top1_acc 0.2680 top5_acc 0.6268 2021-06-06 00:38:35,538 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 00:38:35,598 - mmaction - INFO - mean_acc 0.2680 2021-06-06 00:38:35,599 - mmaction - INFO - Epoch(val) [41][56] top1_acc: 0.2680, top5_acc: 0.6268, mean_class_accuracy: 0.2680 2021-06-06 00:45:52,883 - mmaction - INFO - Epoch [42][20/56] lr: 2.787e-02, eta: 2:58:28, time: 21.862, data_time: 21.156, memory: 5812, top1_acc: 0.6172, top5_acc: 0.8688, loss_cls: 1.3746, loss: 1.3746, grad_norm: 2.4654 2021-06-06 00:46:05,409 - mmaction - INFO - Epoch [42][40/56] lr: 2.709e-02, eta: 2:54:16, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.5977, top5_acc: 0.8547, loss_cls: 1.4237, loss: 1.4237, grad_norm: 2.5603 2021-06-06 00:46:18,436 - mmaction - INFO - Saving checkpoint at 42 epochs 2021-06-06 00:53:47,331 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 00:53:47,379 - mmaction - INFO - top1_acc 0.3111 top5_acc 0.6431 2021-06-06 00:53:47,379 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 00:53:47,440 - mmaction - INFO - mean_acc 0.3111 2021-06-06 00:53:48,652 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_42.pth. 2021-06-06 00:53:48,652 - mmaction - INFO - Best top1_acc is 0.3111 at 42 epoch. 2021-06-06 00:53:48,653 - mmaction - INFO - Epoch(val) [42][56] top1_acc: 0.3111, top5_acc: 0.6431, mean_class_accuracy: 0.3111 2021-06-06 01:01:18,754 - mmaction - INFO - Epoch [43][20/56] lr: 2.570e-02, eta: 2:50:30, time: 22.501, data_time: 21.763, memory: 5812, top1_acc: 0.5891, top5_acc: 0.8523, loss_cls: 1.4300, loss: 1.4300, grad_norm: 2.5226 2021-06-06 01:01:31,272 - mmaction - INFO - Epoch [43][40/56] lr: 2.494e-02, eta: 2:46:24, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.6070, top5_acc: 0.8688, loss_cls: 1.3559, loss: 1.3559, grad_norm: 2.5190 2021-06-06 01:01:46,203 - mmaction - INFO - Saving checkpoint at 43 epochs 2021-06-06 01:09:23,919 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 01:09:23,975 - mmaction - INFO - top1_acc 0.3196 top5_acc 0.6542 2021-06-06 01:09:23,975 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 01:09:24,035 - mmaction - INFO - mean_acc 0.3196 2021-06-06 01:09:25,247 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_43.pth. 2021-06-06 01:09:25,247 - mmaction - INFO - Best top1_acc is 0.3196 at 43 epoch. 2021-06-06 01:09:25,248 - mmaction - INFO - Epoch(val) [43][56] top1_acc: 0.3196, top5_acc: 0.6542, mean_class_accuracy: 0.3196 2021-06-06 01:16:45,417 - mmaction - INFO - Epoch [44][20/56] lr: 2.358e-02, eta: 2:42:28, time: 22.004, data_time: 21.290, memory: 5812, top1_acc: 0.6469, top5_acc: 0.8859, loss_cls: 1.2561, loss: 1.2561, grad_norm: 2.3998 2021-06-06 01:16:57,906 - mmaction - INFO - Epoch [44][40/56] lr: 2.284e-02, eta: 2:38:27, time: 0.626, data_time: 0.003, memory: 5812, top1_acc: 0.6258, top5_acc: 0.8688, loss_cls: 1.3355, loss: 1.3355, grad_norm: 2.6407 2021-06-06 01:17:11,006 - mmaction - INFO - Saving checkpoint at 44 epochs 2021-06-06 01:24:03,516 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 01:24:03,574 - mmaction - INFO - top1_acc 0.3013 top5_acc 0.6353 2021-06-06 01:24:03,574 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 01:24:03,639 - mmaction - INFO - mean_acc 0.3013 2021-06-06 01:24:03,640 - mmaction - INFO - Epoch(val) [44][56] top1_acc: 0.3013, top5_acc: 0.6353, mean_class_accuracy: 0.3013 2021-06-06 01:31:40,216 - mmaction - INFO - Epoch [45][20/56] lr: 2.153e-02, eta: 2:34:34, time: 22.827, data_time: 22.090, memory: 5812, top1_acc: 0.6258, top5_acc: 0.8711, loss_cls: 1.3202, loss: 1.3202, grad_norm: 2.6267 2021-06-06 01:31:52,741 - mmaction - INFO - Epoch [45][40/56] lr: 2.082e-02, eta: 2:30:38, time: 0.627, data_time: 0.002, memory: 5812, top1_acc: 0.6398, top5_acc: 0.8781, loss_cls: 1.2929, loss: 1.2929, grad_norm: 2.5395 2021-06-06 01:32:07,732 - mmaction - INFO - Saving checkpoint at 45 epochs 2021-06-06 01:39:37,335 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 01:39:37,391 - mmaction - INFO - top1_acc 0.3235 top5_acc 0.6739 2021-06-06 01:39:37,391 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 01:39:37,456 - mmaction - INFO - mean_acc 0.3235 2021-06-06 01:39:38,656 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_45.pth. 2021-06-06 01:39:38,656 - mmaction - INFO - Best top1_acc is 0.3235 at 45 epoch. 2021-06-06 01:39:38,657 - mmaction - INFO - Epoch(val) [45][56] top1_acc: 0.3235, top5_acc: 0.6739, mean_class_accuracy: 0.3235 2021-06-06 01:47:03,947 - mmaction - INFO - Epoch [46][20/56] lr: 1.955e-02, eta: 2:26:36, time: 22.259, data_time: 21.525, memory: 5812, top1_acc: 0.6531, top5_acc: 0.8852, loss_cls: 1.2597, loss: 1.2597, grad_norm: 2.6213 2021-06-06 01:47:16,464 - mmaction - INFO - Epoch [46][40/56] lr: 1.886e-02, eta: 2:22:45, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.6352, top5_acc: 0.8781, loss_cls: 1.3184, loss: 1.3184, grad_norm: 2.7496 2021-06-06 01:47:31,249 - mmaction - INFO - Saving checkpoint at 46 epochs 2021-06-06 01:55:07,865 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 01:55:07,918 - mmaction - INFO - top1_acc 0.2987 top5_acc 0.6608 2021-06-06 01:55:07,919 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 01:55:07,984 - mmaction - INFO - mean_acc 0.2987 2021-06-06 01:55:07,984 - mmaction - INFO - Epoch(val) [46][56] top1_acc: 0.2987, top5_acc: 0.6608, mean_class_accuracy: 0.2987 2021-06-06 02:02:30,241 - mmaction - INFO - Epoch [47][20/56] lr: 1.764e-02, eta: 2:18:38, time: 22.110, data_time: 21.370, memory: 5812, top1_acc: 0.6453, top5_acc: 0.8789, loss_cls: 1.2578, loss: 1.2578, grad_norm: 2.6614 2021-06-06 02:02:42,766 - mmaction - INFO - Epoch [47][40/56] lr: 1.698e-02, eta: 2:14:52, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.6516, top5_acc: 0.8844, loss_cls: 1.2432, loss: 1.2432, grad_norm: 2.7102 2021-06-06 02:02:57,610 - mmaction - INFO - Saving checkpoint at 47 epochs 2021-06-06 02:10:45,641 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 02:10:45,694 - mmaction - INFO - top1_acc 0.3471 top5_acc 0.6863 2021-06-06 02:10:45,694 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 02:10:45,760 - mmaction - INFO - mean_acc 0.3471 2021-06-06 02:10:47,049 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_47.pth. 2021-06-06 02:10:47,050 - mmaction - INFO - Best top1_acc is 0.3471 at 47 epoch. 2021-06-06 02:10:47,050 - mmaction - INFO - Epoch(val) [47][56] top1_acc: 0.3471, top5_acc: 0.6863, mean_class_accuracy: 0.3471 2021-06-06 02:17:50,737 - mmaction - INFO - Epoch [48][20/56] lr: 1.581e-02, eta: 2:10:34, time: 21.179, data_time: 20.472, memory: 5812, top1_acc: 0.6555, top5_acc: 0.9000, loss_cls: 1.1673, loss: 1.1673, grad_norm: 2.6719 2021-06-06 02:18:03,263 - mmaction - INFO - Epoch [48][40/56] lr: 1.518e-02, eta: 2:06:53, time: 0.629, data_time: 0.005, memory: 5812, top1_acc: 0.6648, top5_acc: 0.8820, loss_cls: 1.2273, loss: 1.2273, grad_norm: 2.8587 2021-06-06 02:18:16,144 - mmaction - INFO - Saving checkpoint at 48 epochs 2021-06-06 02:25:43,552 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 02:25:43,608 - mmaction - INFO - top1_acc 0.3451 top5_acc 0.6791 2021-06-06 02:25:43,608 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 02:25:43,673 - mmaction - INFO - mean_acc 0.3451 2021-06-06 02:25:43,674 - mmaction - INFO - Epoch(val) [48][56] top1_acc: 0.3451, top5_acc: 0.6791, mean_class_accuracy: 0.3451 2021-06-06 02:33:23,729 - mmaction - INFO - Epoch [49][20/56] lr: 1.406e-02, eta: 2:02:44, time: 23.000, data_time: 22.267, memory: 5812, top1_acc: 0.6672, top5_acc: 0.8945, loss_cls: 1.1676, loss: 1.1676, grad_norm: 2.8155 2021-06-06 02:33:36,239 - mmaction - INFO - Epoch [49][40/56] lr: 1.346e-02, eta: 1:59:07, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.6578, top5_acc: 0.8875, loss_cls: 1.2042, loss: 1.2042, grad_norm: 2.8931 2021-06-06 02:33:51,036 - mmaction - INFO - Saving checkpoint at 49 epochs 2021-06-06 02:41:27,825 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 02:41:27,884 - mmaction - INFO - top1_acc 0.3392 top5_acc 0.6641 2021-06-06 02:41:27,884 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 02:41:27,949 - mmaction - INFO - mean_acc 0.3392 2021-06-06 02:41:27,950 - mmaction - INFO - Epoch(val) [49][56] top1_acc: 0.3392, top5_acc: 0.6641, mean_class_accuracy: 0.3392 2021-06-06 02:48:52,870 - mmaction - INFO - Epoch [50][20/56] lr: 1.240e-02, eta: 1:54:49, time: 22.244, data_time: 21.497, memory: 5812, top1_acc: 0.6727, top5_acc: 0.9031, loss_cls: 1.1503, loss: 1.1503, grad_norm: 2.7778 2021-06-06 02:49:05,410 - mmaction - INFO - Epoch [50][40/56] lr: 1.183e-02, eta: 1:51:16, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.6672, top5_acc: 0.9102, loss_cls: 1.1073, loss: 1.1073, grad_norm: 2.8593 2021-06-06 02:49:20,210 - mmaction - INFO - Saving checkpoint at 50 epochs 2021-06-06 02:56:57,430 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 02:56:57,484 - mmaction - INFO - top1_acc 0.3288 top5_acc 0.6732 2021-06-06 02:56:57,484 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 02:56:57,544 - mmaction - INFO - mean_acc 0.3288 2021-06-06 02:56:57,545 - mmaction - INFO - Epoch(val) [50][56] top1_acc: 0.3288, top5_acc: 0.6732, mean_class_accuracy: 0.3288 2021-06-06 03:04:31,623 - mmaction - INFO - Epoch [51][20/56] lr: 1.083e-02, eta: 1:46:57, time: 22.701, data_time: 21.961, memory: 5812, top1_acc: 0.6672, top5_acc: 0.8984, loss_cls: 1.1320, loss: 1.1320, grad_norm: 2.8991 2021-06-06 03:04:44,170 - mmaction - INFO - Epoch [51][40/56] lr: 1.029e-02, eta: 1:43:29, time: 0.629, data_time: 0.003, memory: 5812, top1_acc: 0.7039, top5_acc: 0.9008, loss_cls: 1.0385, loss: 1.0385, grad_norm: 2.8526 2021-06-06 03:04:58,834 - mmaction - INFO - Saving checkpoint at 51 epochs 2021-06-06 03:12:34,180 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 03:12:34,227 - mmaction - INFO - top1_acc 0.3549 top5_acc 0.6876 2021-06-06 03:12:34,228 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 03:12:34,289 - mmaction - INFO - mean_acc 0.3549 2021-06-06 03:12:35,504 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_51.pth. 2021-06-06 03:12:35,505 - mmaction - INFO - Best top1_acc is 0.3549 at 51 epoch. 2021-06-06 03:12:35,505 - mmaction - INFO - Epoch(val) [51][56] top1_acc: 0.3549, top5_acc: 0.6876, mean_class_accuracy: 0.3549 2021-06-06 03:20:07,886 - mmaction - INFO - Epoch [52][20/56] lr: 9.349e-03, eta: 1:39:06, time: 22.615, data_time: 21.869, memory: 5812, top1_acc: 0.6844, top5_acc: 0.9008, loss_cls: 1.0847, loss: 1.0847, grad_norm: 2.8826 2021-06-06 03:20:20,375 - mmaction - INFO - Epoch [52][40/56] lr: 8.845e-03, eta: 1:35:41, time: 0.626, data_time: 0.003, memory: 5812, top1_acc: 0.6906, top5_acc: 0.9023, loss_cls: 1.0996, loss: 1.0996, grad_norm: 3.0367 2021-06-06 03:20:35,402 - mmaction - INFO - Saving checkpoint at 52 epochs 2021-06-06 03:28:06,325 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 03:28:06,372 - mmaction - INFO - top1_acc 0.3438 top5_acc 0.6856 2021-06-06 03:28:06,373 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 03:28:06,433 - mmaction - INFO - mean_acc 0.3438 2021-06-06 03:28:06,434 - mmaction - INFO - Epoch(val) [52][56] top1_acc: 0.3438, top5_acc: 0.6856, mean_class_accuracy: 0.3438 2021-06-06 03:35:47,751 - mmaction - INFO - Epoch [53][20/56] lr: 7.970e-03, eta: 1:31:16, time: 23.063, data_time: 22.322, memory: 5812, top1_acc: 0.7125, top5_acc: 0.9195, loss_cls: 0.9964, loss: 0.9964, grad_norm: 2.9058 2021-06-06 03:36:00,285 - mmaction - INFO - Epoch [53][40/56] lr: 7.501e-03, eta: 1:27:55, time: 0.628, data_time: 0.003, memory: 5812, top1_acc: 0.7094, top5_acc: 0.9156, loss_cls: 1.0183, loss: 1.0183, grad_norm: 3.1031 2021-06-06 03:36:15,026 - mmaction - INFO - Saving checkpoint at 53 epochs 2021-06-06 03:43:27,925 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 03:43:27,983 - mmaction - INFO - top1_acc 0.3667 top5_acc 0.6974 2021-06-06 03:43:27,983 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 03:43:28,048 - mmaction - INFO - mean_acc 0.3667 2021-06-06 03:43:29,281 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_53.pth. 2021-06-06 03:43:29,281 - mmaction - INFO - Best top1_acc is 0.3667 at 53 epoch. 2021-06-06 03:43:29,282 - mmaction - INFO - Epoch(val) [53][56] top1_acc: 0.3667, top5_acc: 0.6974, mean_class_accuracy: 0.3667 2021-06-06 03:51:02,656 - mmaction - INFO - Epoch [54][20/56] lr: 6.691e-03, eta: 1:23:25, time: 22.666, data_time: 21.929, memory: 5812, top1_acc: 0.7211, top5_acc: 0.9289, loss_cls: 0.9307, loss: 0.9307, grad_norm: 2.9721 2021-06-06 03:51:15,167 - mmaction - INFO - Epoch [54][40/56] lr: 6.260e-03, eta: 1:20:07, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.7094, top5_acc: 0.9320, loss_cls: 0.9734, loss: 0.9734, grad_norm: 3.0965 2021-06-06 03:51:30,111 - mmaction - INFO - Saving checkpoint at 54 epochs 2021-06-06 03:59:06,435 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 03:59:06,490 - mmaction - INFO - top1_acc 0.3778 top5_acc 0.6948 2021-06-06 03:59:06,490 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 03:59:06,555 - mmaction - INFO - mean_acc 0.3778 2021-06-06 03:59:07,750 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_54.pth. 2021-06-06 03:59:07,751 - mmaction - INFO - Best top1_acc is 0.3778 at 54 epoch. 2021-06-06 03:59:07,767 - mmaction - INFO - Epoch(val) [54][56] top1_acc: 0.3778, top5_acc: 0.6948, mean_class_accuracy: 0.3778 2021-06-06 04:06:42,837 - mmaction - INFO - Epoch [55][20/56] lr: 5.518e-03, eta: 1:15:34, time: 22.752, data_time: 22.010, memory: 5812, top1_acc: 0.7320, top5_acc: 0.9258, loss_cls: 0.9313, loss: 0.9313, grad_norm: 3.0089 2021-06-06 04:06:55,347 - mmaction - INFO - Epoch [55][40/56] lr: 5.124e-03, eta: 1:12:20, time: 0.626, data_time: 0.003, memory: 5812, top1_acc: 0.7078, top5_acc: 0.9234, loss_cls: 0.9821, loss: 0.9821, grad_norm: 3.1560 2021-06-06 04:07:10,210 - mmaction - INFO - Saving checkpoint at 55 epochs 2021-06-06 04:14:48,961 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 04:14:49,016 - mmaction - INFO - top1_acc 0.3588 top5_acc 0.6928 2021-06-06 04:14:49,017 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 04:14:49,089 - mmaction - INFO - mean_acc 0.3588 2021-06-06 04:14:49,089 - mmaction - INFO - Epoch(val) [55][56] top1_acc: 0.3588, top5_acc: 0.6928, mean_class_accuracy: 0.3588 2021-06-06 04:22:02,801 - mmaction - INFO - Epoch [56][20/56] lr: 4.451e-03, eta: 1:07:40, time: 21.682, data_time: 20.919, memory: 5812, top1_acc: 0.7258, top5_acc: 0.9297, loss_cls: 0.9727, loss: 0.9727, grad_norm: 3.1574 2021-06-06 04:22:15,328 - mmaction - INFO - Epoch [56][40/56] lr: 4.096e-03, eta: 1:04:29, time: 0.629, data_time: 0.004, memory: 5812, top1_acc: 0.7016, top5_acc: 0.9289, loss_cls: 0.9560, loss: 0.9560, grad_norm: 3.2120 2021-06-06 04:22:28,386 - mmaction - INFO - Saving checkpoint at 56 epochs 2021-06-06 04:29:54,777 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 04:29:54,824 - mmaction - INFO - top1_acc 0.3529 top5_acc 0.7085 2021-06-06 04:29:54,824 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 04:29:54,884 - mmaction - INFO - mean_acc 0.3529 2021-06-06 04:29:54,885 - mmaction - INFO - Epoch(val) [56][56] top1_acc: 0.3529, top5_acc: 0.7085, mean_class_accuracy: 0.3529 2021-06-06 04:37:15,812 - mmaction - INFO - Epoch [57][20/56] lr: 3.494e-03, eta: 0:59:48, time: 22.044, data_time: 21.322, memory: 5812, top1_acc: 0.7398, top5_acc: 0.9211, loss_cls: 0.9393, loss: 0.9393, grad_norm: 3.1679 2021-06-06 04:37:28,350 - mmaction - INFO - Epoch [57][40/56] lr: 3.179e-03, eta: 0:56:40, time: 0.629, data_time: 0.003, memory: 5812, top1_acc: 0.7398, top5_acc: 0.9359, loss_cls: 0.8776, loss: 0.8776, grad_norm: 3.0957 2021-06-06 04:37:41,462 - mmaction - INFO - Saving checkpoint at 57 epochs 2021-06-06 04:44:53,644 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 04:44:53,693 - mmaction - INFO - top1_acc 0.3667 top5_acc 0.7046 2021-06-06 04:44:53,693 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 04:44:53,753 - mmaction - INFO - mean_acc 0.3667 2021-06-06 04:44:53,754 - mmaction - INFO - Epoch(val) [57][56] top1_acc: 0.3667, top5_acc: 0.7046, mean_class_accuracy: 0.3667 2021-06-06 04:52:28,167 - mmaction - INFO - Epoch [58][20/56] lr: 2.649e-03, eta: 0:51:58, time: 22.718, data_time: 21.980, memory: 5812, top1_acc: 0.7227, top5_acc: 0.9109, loss_cls: 0.9555, loss: 0.9555, grad_norm: 3.2937 2021-06-06 04:52:40,717 - mmaction - INFO - Epoch [58][40/56] lr: 2.375e-03, eta: 0:48:54, time: 0.629, data_time: 0.003, memory: 5812, top1_acc: 0.7328, top5_acc: 0.9203, loss_cls: 0.9183, loss: 0.9183, grad_norm: 3.3331 2021-06-06 04:52:55,569 - mmaction - INFO - Saving checkpoint at 58 epochs 2021-06-06 05:00:36,473 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 05:00:36,526 - mmaction - INFO - top1_acc 0.3706 top5_acc 0.7098 2021-06-06 05:00:36,526 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 05:00:36,592 - mmaction - INFO - mean_acc 0.3706 2021-06-06 05:00:36,592 - mmaction - INFO - Epoch(val) [58][56] top1_acc: 0.3706, top5_acc: 0.7098, mean_class_accuracy: 0.3706 2021-06-06 05:08:14,746 - mmaction - INFO - Epoch [59][20/56] lr: 1.918e-03, eta: 0:44:09, time: 22.904, data_time: 22.156, memory: 5812, top1_acc: 0.7625, top5_acc: 0.9320, loss_cls: 0.8358, loss: 0.8358, grad_norm: 3.0238 2021-06-06 05:08:27,243 - mmaction - INFO - Epoch [59][40/56] lr: 1.685e-03, eta: 0:41:07, time: 0.628, data_time: 0.005, memory: 5812, top1_acc: 0.7312, top5_acc: 0.9281, loss_cls: 0.9385, loss: 0.9385, grad_norm: 3.3803 2021-06-06 05:08:42,080 - mmaction - INFO - Saving checkpoint at 59 epochs 2021-06-06 05:16:20,663 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 05:16:20,717 - mmaction - INFO - top1_acc 0.3843 top5_acc 0.7157 2021-06-06 05:16:20,717 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 05:16:20,782 - mmaction - INFO - mean_acc 0.3843 2021-06-06 05:16:21,985 - mmaction - INFO - Now best checkpoint is saved as best_top1_acc_epoch_59.pth. 2021-06-06 05:16:21,986 - mmaction - INFO - Best top1_acc is 0.3843 at 59 epoch. 2021-06-06 05:16:22,002 - mmaction - INFO - Epoch(val) [59][56] top1_acc: 0.3843, top5_acc: 0.7157, mean_class_accuracy: 0.3843 2021-06-06 05:23:31,767 - mmaction - INFO - Epoch [60][20/56] lr: 1.303e-03, eta: 0:36:17, time: 21.485, data_time: 20.751, memory: 5812, top1_acc: 0.7344, top5_acc: 0.9195, loss_cls: 0.9175, loss: 0.9175, grad_norm: 3.3833 2021-06-06 05:23:44,302 - mmaction - INFO - Epoch [60][40/56] lr: 1.112e-03, eta: 0:33:19, time: 0.629, data_time: 0.004, memory: 5812, top1_acc: 0.7484, top5_acc: 0.9305, loss_cls: 0.8832, loss: 0.8832, grad_norm: 3.2007 2021-06-06 05:23:57,582 - mmaction - INFO - Saving checkpoint at 60 epochs 2021-06-06 05:31:23,881 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 05:31:23,924 - mmaction - INFO - top1_acc 0.3758 top5_acc 0.7085 2021-06-06 05:31:23,924 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 05:31:23,980 - mmaction - INFO - mean_acc 0.3758 2021-06-06 05:31:23,980 - mmaction - INFO - Epoch(val) [60][56] top1_acc: 0.3758, top5_acc: 0.7085, mean_class_accuracy: 0.3758 2021-06-06 05:38:34,543 - mmaction - INFO - Epoch [61][20/56] lr: 8.051e-04, eta: 0:28:27, time: 21.526, data_time: 20.817, memory: 5812, top1_acc: 0.7578, top5_acc: 0.9289, loss_cls: 0.8663, loss: 0.8663, grad_norm: 3.1363 2021-06-06 05:38:47,067 - mmaction - INFO - Epoch [61][40/56] lr: 6.560e-04, eta: 0:25:31, time: 0.627, data_time: 0.003, memory: 5812, top1_acc: 0.7461, top5_acc: 0.9258, loss_cls: 0.8986, loss: 0.8986, grad_norm: 3.2762 2021-06-06 05:39:00,254 - mmaction - INFO - Saving checkpoint at 61 epochs 2021-06-06 05:46:30,644 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 05:46:30,693 - mmaction - INFO - top1_acc 0.3765 top5_acc 0.7124 2021-06-06 05:46:30,693 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 05:46:30,753 - mmaction - INFO - mean_acc 0.3765 2021-06-06 05:46:30,754 - mmaction - INFO - Epoch(val) [61][56] top1_acc: 0.3765, top5_acc: 0.7124, mean_class_accuracy: 0.3765 2021-06-06 05:54:15,607 - mmaction - INFO - Epoch [62][20/56] lr: 4.259e-04, eta: 0:20:38, time: 23.240, data_time: 22.494, memory: 5812, top1_acc: 0.7469, top5_acc: 0.9305, loss_cls: 0.8911, loss: 0.8911, grad_norm: 3.3048 2021-06-06 05:54:28,294 - mmaction - INFO - Epoch [62][40/56] lr: 3.193e-04, eta: 0:17:45, time: 0.635, data_time: 0.004, memory: 5812, top1_acc: 0.7523, top5_acc: 0.9242, loss_cls: 0.8721, loss: 0.8721, grad_norm: 3.2560 2021-06-06 05:54:43,022 - mmaction - INFO - Saving checkpoint at 62 epochs 2021-06-06 06:02:19,026 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 06:02:19,081 - mmaction - INFO - top1_acc 0.3680 top5_acc 0.7170 2021-06-06 06:02:19,082 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 06:02:19,147 - mmaction - INFO - mean_acc 0.3680 2021-06-06 06:02:19,148 - mmaction - INFO - Epoch(val) [62][56] top1_acc: 0.3680, top5_acc: 0.7170, mean_class_accuracy: 0.3680 2021-06-06 06:10:02,992 - mmaction - INFO - Epoch [63][20/56] lr: 1.660e-04, eta: 0:12:50, time: 23.170, data_time: 22.404, memory: 5812, top1_acc: 0.7641, top5_acc: 0.9266, loss_cls: 0.8507, loss: 0.8507, grad_norm: 3.2342 2021-06-06 06:10:15,883 - mmaction - INFO - Epoch [63][40/56] lr: 1.023e-04, eta: 0:09:59, time: 0.666, data_time: 0.042, memory: 5812, top1_acc: 0.7461, top5_acc: 0.9242, loss_cls: 0.8771, loss: 0.8771, grad_norm: 3.2884 2021-06-06 06:10:30,992 - mmaction - INFO - Saving checkpoint at 63 epochs 2021-06-06 06:17:56,307 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 06:17:56,354 - mmaction - INFO - top1_acc 0.3778 top5_acc 0.7176 2021-06-06 06:17:56,354 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 06:17:56,415 - mmaction - INFO - mean_acc 0.3778 2021-06-06 06:17:56,415 - mmaction - INFO - Epoch(val) [63][56] top1_acc: 0.3778, top5_acc: 0.7176, mean_class_accuracy: 0.3778 2021-06-06 06:25:12,339 - mmaction - INFO - Epoch [64][20/56] lr: 2.629e-05, eta: 0:05:01, time: 21.794, data_time: 21.089, memory: 5812, top1_acc: 0.7516, top5_acc: 0.9359, loss_cls: 0.8537, loss: 0.8537, grad_norm: 3.3352 2021-06-06 06:25:24,880 - mmaction - INFO - Epoch [64][40/56] lr: 5.551e-06, eta: 0:02:13, time: 0.629, data_time: 0.003, memory: 5812, top1_acc: 0.7594, top5_acc: 0.9383, loss_cls: 0.8465, loss: 0.8465, grad_norm: 3.2269 2021-06-06 06:25:37,867 - mmaction - INFO - Saving checkpoint at 64 epochs 2021-06-06 06:32:49,779 - mmaction - INFO - Evaluating top_k_accuracy ... 2021-06-06 06:32:49,833 - mmaction - INFO - top1_acc 0.3745 top5_acc 0.7144 2021-06-06 06:32:49,834 - mmaction - INFO - Evaluating mean_class_accuracy ... 2021-06-06 06:32:49,899 - mmaction - INFO - mean_acc 0.3745 2021-06-06 06:32:49,899 - mmaction - INFO - Epoch(val) [64][56] top1_acc: 0.3745, top5_acc: 0.7144, mean_class_accuracy: 0.3745