2020-11-08 19:08:06,151 - mmaction - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3: Tesla V100-SXM2-32GB CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 9.0, V9.0.176 GCC: gcc (GCC) 5.4.0 PyTorch: 1.5.1+cu101 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2019.0.5 Product Build 20190808 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.21.1 (Git Hash 7d2fd500bc78936d1d648ca713b901012f470dbc) - OpenMP 201511 (a.k.a. OpenMP 4.5) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 10.1 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_37,code=compute_37 - CuDNN 7.6.3 - Magma 2.5.2 - 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-stringop-overflow -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, 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=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_STATIC_DISPATCH=OFF, TorchVision: 0.6.1+cu101 OpenCV: 4.4.0 MMCV: 1.1.5 MMCV Compiler: n/a MMCV CUDA Compiler: n/a MMAction2: 0.7.0+d033682 ------------------------------------------------------------ 2020-11-08 19:08:06,152 - mmaction - INFO - Distributed training: True 2020-11-08 19:08:06,152 - mmaction - INFO - Config: /mnt/lustre/share_data/ugc/mmaction2/configs/hmdb/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb.py # model settings model = dict( type='Recognizer2D', backbone=dict( type='ResNet', pretrained='torchvision://resnet50', depth=50, norm_eval=False), cls_head=dict( type='TSNHead', num_classes=51,#400, change in_channels=2048, spatial_type='avg', consensus=dict(type='AvgConsensus', dim=1), dropout_ratio=0.4, init_std=0.01)) # model training and testing settings train_cfg = None test_cfg = dict(average_clips=None) # dataset settings dataset_type = 'RawframeDataset' # data_root = 'data/kinetics400/rawframes_train_320p' change # data_root_val = 'data/kinetics400/rawframes_val_320p' change # ann_file_train = 'data/kinetics400/kinetics400_train_list_rawframes_320p.txt' change # ann_file_val = 'data/kinetics400/kinetics400_val_list_rawframes_320p.txt' change # ann_file_test = 'data/kinetics400/kinetics400_val_list_rawframes_320p.txt' change data_root = 'data/hmdb51/rawframes' data_root_val = 'data/hmdb51/rawframes' ann_file_train = 'data/hmdb51/hmdb51_train_split_1_rawframes.txt' ann_file_val = 'data/hmdb51/hmdb51_val_split_1_rawframes.txt' ann_file_test = 'data/hmdb51/hmdb51_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) train_pipeline = [ dict(type='SampleFrames', clip_len=1, frame_interval=1, num_clips=8), dict(type='RawFrameDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='RandomResizedCrop'), dict(type='Resize', scale=(224, 224), keep_ratio=False), dict(type='Flip', flip_ratio=0.5), dict(type='Normalize', **img_norm_cfg), 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=8, test_mode=True), dict(type='RawFrameDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='CenterCrop', crop_size=256), dict(type='Flip', flip_ratio=0), dict(type='Normalize', **img_norm_cfg), 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=25, test_mode=True), dict(type='RawFrameDecode'), dict(type='Resize', scale=(-1, 256)), dict(type='ThreeCrop', crop_size=256), dict(type='Flip', flip_ratio=0), dict(type='Normalize', **img_norm_cfg), dict(type='FormatShape', input_format='NCHW'), dict(type='Collect', keys=['imgs', 'label'], meta_keys=[]), dict(type='ToTensor', keys=['imgs']) ] data = dict( videos_per_gpu=32,#12, change workers_per_gpu=4, train=dict( type=dataset_type, ann_file=ann_file_train, data_prefix=data_root, pipeline=train_pipeline), val=dict( type=dataset_type, ann_file=ann_file_val, data_prefix=data_root_val, pipeline=val_pipeline), test=dict( type=dataset_type, ann_file=ann_file_test, data_prefix=data_root_val, pipeline=test_pipeline)) # optimizer optimizer = dict( type='SGD', lr=0.025, #0.00375, change momentum=0.9, weight_decay=0.0001) # this lr is used for 4 gpus optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2)) # learning policy lr_config = dict(policy='step', step=[20, 40]) #change total_epochs = 50 #change checkpoint_config = dict(interval=5) evaluation = dict( interval=1, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict( interval=20, hooks=[ dict(type='TextLoggerHook'), dict(type='TensorboardLoggerHook'), ]) # runtime settings dist_params = dict(backend='nccl',port=29511) log_level = 'INFO' work_dir = './work_dirs/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb/' #change load_from = './tsn_r50_256p_1x1x8_100e_kinetics400_rgb_20200817-883baf16.pth' #change resume_from = None workflow = [('train', 1)] 2020-11-08 19:08:13,402 - mmaction - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2020-11-08 19:08:14,217 - mmaction - INFO - load checkpoint from ./tsn_r50_256p_1x1x8_100e_kinetics400_rgb_20200817-883baf16.pth 2020-11-08 19:08:16,639 - 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([51, 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([51]). 2020-11-08 19:08:16,685 - mmaction - INFO - Start running, host: ganshikang@SH-IDC1-10-198-6-138, work_dir: /mnt/lustre/share_data/ugc/mmaction2/work_dirs/tsn_r50_1x1x8_50e_hmdb51_kinetics400_rgb 2020-11-08 19:08:16,694 - mmaction - INFO - workflow: [('train', 1)], max: 50 epochs 2020-11-08 19:09:25,988 - mmaction - INFO - Epoch [1][20/28] lr: 2.500e-02, eta: 1:15:51, time: 3.299, data_time: 2.356, memory: 21535, top1_acc: 0.2414, top5_acc: 0.4352, loss_cls: 3.1593, loss: 3.1593, grad_norm: 3.0036 2020-11-08 19:10:54,507 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:10:54,539 - mmaction - INFO - top1_acc 0.4876 top5_acc 0.7902 2020-11-08 19:10:54,539 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:10:54,543 - mmaction - INFO - mean_acc 0.4876 2020-11-08 19:10:54,543 - mmaction - INFO - Epoch(val) [1][28] top1_acc: 0.4876, top5_acc: 0.7902, mean_class_accuracy: 0.4876 2020-11-08 19:12:07,700 - mmaction - INFO - Epoch [2][20/28] lr: 2.500e-02, eta: 1:05:14, time: 3.651, data_time: 2.629, memory: 21535, top1_acc: 0.5410, top5_acc: 0.8234, loss_cls: 1.6469, loss: 1.6469, grad_norm: 4.2718 2020-11-08 19:13:22,619 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:13:22,659 - mmaction - INFO - top1_acc 0.4595 top5_acc 0.7804 2020-11-08 19:13:22,660 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:13:22,665 - mmaction - INFO - mean_acc 0.4595 2020-11-08 19:13:22,666 - mmaction - INFO - Epoch(val) [2][28] top1_acc: 0.4595, top5_acc: 0.7804, mean_class_accuracy: 0.4595 2020-11-08 19:14:53,151 - mmaction - INFO - Epoch [3][20/28] lr: 2.500e-02, eta: 1:06:36, time: 4.520, data_time: 3.594, memory: 21535, top1_acc: 0.6066, top5_acc: 0.8535, loss_cls: 1.4103, loss: 1.4103, grad_norm: 4.5495 2020-11-08 19:16:31,117 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:16:31,125 - mmaction - INFO - top1_acc 0.4569 top5_acc 0.7353 2020-11-08 19:16:31,125 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:16:31,130 - mmaction - INFO - mean_acc 0.4569 2020-11-08 19:16:31,130 - mmaction - INFO - Epoch(val) [3][28] top1_acc: 0.4569, top5_acc: 0.7353, mean_class_accuracy: 0.4569 2020-11-08 19:17:58,869 - mmaction - INFO - Epoch [4][20/28] lr: 2.500e-02, eta: 1:05:50, time: 4.381, data_time: 3.481, memory: 21535, top1_acc: 0.6234, top5_acc: 0.8703, loss_cls: 1.3035, loss: 1.3035, grad_norm: 4.8181 2020-11-08 19:20:04,391 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:20:04,402 - mmaction - INFO - top1_acc 0.4366 top5_acc 0.7418 2020-11-08 19:20:04,402 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:20:04,414 - mmaction - INFO - mean_acc 0.4366 2020-11-08 19:20:04,414 - mmaction - INFO - Epoch(val) [4][28] top1_acc: 0.4366, top5_acc: 0.7418, mean_class_accuracy: 0.4366 2020-11-08 19:21:39,693 - mmaction - INFO - Epoch [5][20/28] lr: 2.500e-02, eta: 1:05:59, time: 4.758, data_time: 3.739, memory: 21535, top1_acc: 0.6668, top5_acc: 0.8879, loss_cls: 1.1706, loss: 1.1706, grad_norm: 4.3856 2020-11-08 19:21:52,132 - mmaction - INFO - Saving checkpoint at 5 epochs 2020-11-08 19:23:45,690 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:23:45,697 - mmaction - INFO - top1_acc 0.4458 top5_acc 0.7569 2020-11-08 19:23:45,697 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:23:45,702 - mmaction - INFO - mean_acc 0.4458 2020-11-08 19:23:45,702 - mmaction - INFO - Epoch(val) [5][28] top1_acc: 0.4458, top5_acc: 0.7569, mean_class_accuracy: 0.4458 2020-11-08 19:25:58,107 - mmaction - INFO - Epoch [6][20/28] lr: 2.500e-02, eta: 1:10:19, time: 6.611, data_time: 5.672, memory: 21535, top1_acc: 0.6930, top5_acc: 0.8953, loss_cls: 1.0747, loss: 1.0747, grad_norm: 4.4089 2020-11-08 19:28:12,526 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:28:12,534 - mmaction - INFO - top1_acc 0.4431 top5_acc 0.7732 2020-11-08 19:28:12,534 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:28:12,538 - mmaction - INFO - mean_acc 0.4431 2020-11-08 19:28:12,538 - mmaction - INFO - Epoch(val) [6][28] top1_acc: 0.4431, top5_acc: 0.7732, mean_class_accuracy: 0.4431 2020-11-08 19:30:32,061 - mmaction - INFO - Epoch [7][20/28] lr: 2.500e-02, eta: 1:13:28, time: 6.969, data_time: 5.846, memory: 21535, top1_acc: 0.7145, top5_acc: 0.9137, loss_cls: 1.0060, loss: 1.0060, grad_norm: 4.6146 2020-11-08 19:32:59,124 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:32:59,132 - mmaction - INFO - top1_acc 0.4660 top5_acc 0.7928 2020-11-08 19:32:59,132 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:32:59,136 - mmaction - INFO - mean_acc 0.4660 2020-11-08 19:32:59,137 - mmaction - INFO - Epoch(val) [7][28] top1_acc: 0.4660, top5_acc: 0.7928, mean_class_accuracy: 0.4660 2020-11-08 19:35:28,752 - mmaction - INFO - Epoch [8][20/28] lr: 2.500e-02, eta: 1:16:07, time: 7.474, data_time: 6.307, memory: 21535, top1_acc: 0.7094, top5_acc: 0.9066, loss_cls: 1.0174, loss: 1.0174, grad_norm: 4.2910 2020-11-08 19:37:48,908 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:37:48,940 - mmaction - INFO - top1_acc 0.4889 top5_acc 0.8026 2020-11-08 19:37:48,940 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:37:48,946 - mmaction - INFO - mean_acc 0.4889 2020-11-08 19:37:48,946 - mmaction - INFO - Epoch(val) [8][28] top1_acc: 0.4889, top5_acc: 0.8026, mean_class_accuracy: 0.4889 2020-11-08 19:40:09,425 - mmaction - INFO - Epoch [9][20/28] lr: 2.500e-02, eta: 1:16:52, time: 7.014, data_time: 5.947, memory: 21535, top1_acc: 0.7477, top5_acc: 0.9289, loss_cls: 0.8828, loss: 0.8828, grad_norm: 4.3090 2020-11-08 19:42:14,924 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:42:14,946 - mmaction - INFO - top1_acc 0.4745 top5_acc 0.7987 2020-11-08 19:42:14,946 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:42:14,951 - mmaction - INFO - mean_acc 0.4745 2020-11-08 19:42:14,952 - mmaction - INFO - Epoch(val) [9][28] top1_acc: 0.4745, top5_acc: 0.7987, mean_class_accuracy: 0.4745 2020-11-08 19:44:35,598 - mmaction - INFO - Epoch [10][20/28] lr: 2.500e-02, eta: 1:17:00, time: 7.029, data_time: 5.773, memory: 21535, top1_acc: 0.7594, top5_acc: 0.9246, loss_cls: 0.8509, loss: 0.8509, grad_norm: 4.0954 2020-11-08 19:44:47,669 - mmaction - INFO - Saving checkpoint at 10 epochs 2020-11-08 19:46:47,109 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:46:47,131 - mmaction - INFO - top1_acc 0.4542 top5_acc 0.7673 2020-11-08 19:46:47,131 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:46:47,136 - mmaction - INFO - mean_acc 0.4542 2020-11-08 19:46:47,136 - mmaction - INFO - Epoch(val) [10][28] top1_acc: 0.4542, top5_acc: 0.7673, mean_class_accuracy: 0.4542 2020-11-08 19:49:17,894 - mmaction - INFO - Epoch [11][20/28] lr: 2.500e-02, eta: 1:17:17, time: 7.532, data_time: 6.440, memory: 21535, top1_acc: 0.7664, top5_acc: 0.9340, loss_cls: 0.8376, loss: 0.8376, grad_norm: 4.3917 2020-11-08 19:51:31,254 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:51:31,288 - mmaction - INFO - top1_acc 0.4464 top5_acc 0.7621 2020-11-08 19:51:31,288 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:51:31,292 - mmaction - INFO - mean_acc 0.4464 2020-11-08 19:51:31,293 - mmaction - INFO - Epoch(val) [11][28] top1_acc: 0.4464, top5_acc: 0.7621, mean_class_accuracy: 0.4464 2020-11-08 19:53:40,545 - mmaction - INFO - Epoch [12][20/28] lr: 2.500e-02, eta: 1:15:55, time: 6.459, data_time: 5.449, memory: 21535, top1_acc: 0.7793, top5_acc: 0.9453, loss_cls: 0.7496, loss: 0.7496, grad_norm: 4.2035 2020-11-08 19:55:54,116 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 19:55:54,138 - mmaction - INFO - top1_acc 0.4614 top5_acc 0.7993 2020-11-08 19:55:54,138 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 19:55:54,142 - mmaction - INFO - mean_acc 0.4614 2020-11-08 19:55:54,142 - mmaction - INFO - Epoch(val) [12][28] top1_acc: 0.4614, top5_acc: 0.7993, mean_class_accuracy: 0.4614 2020-11-08 19:58:09,700 - mmaction - INFO - Epoch [13][20/28] lr: 2.500e-02, eta: 1:14:44, time: 6.770, data_time: 5.876, memory: 21535, top1_acc: 0.7914, top5_acc: 0.9348, loss_cls: 0.7516, loss: 0.7516, grad_norm: 4.0492 2020-11-08 20:00:21,696 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:00:21,705 - mmaction - INFO - top1_acc 0.5170 top5_acc 0.8013 2020-11-08 20:00:21,705 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:00:21,707 - mmaction - INFO - mean_acc 0.5170 2020-11-08 20:00:21,708 - mmaction - INFO - Epoch(val) [13][28] top1_acc: 0.5170, top5_acc: 0.8013, mean_class_accuracy: 0.5170 2020-11-08 20:02:52,964 - mmaction - INFO - Epoch [14][20/28] lr: 2.500e-02, eta: 1:14:06, time: 7.556, data_time: 6.635, memory: 21535, top1_acc: 0.8094, top5_acc: 0.9484, loss_cls: 0.6776, loss: 0.6776, grad_norm: 4.0066 2020-11-08 20:05:11,188 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:05:11,195 - mmaction - INFO - top1_acc 0.4987 top5_acc 0.7797 2020-11-08 20:05:11,196 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:05:11,200 - mmaction - INFO - mean_acc 0.4987 2020-11-08 20:05:11,200 - mmaction - INFO - Epoch(val) [14][28] top1_acc: 0.4987, top5_acc: 0.7797, mean_class_accuracy: 0.4987 2020-11-08 20:07:17,919 - mmaction - INFO - Epoch [15][20/28] lr: 2.500e-02, eta: 1:12:13, time: 6.331, data_time: 5.375, memory: 21535, top1_acc: 0.7949, top5_acc: 0.9477, loss_cls: 0.6975, loss: 0.6975, grad_norm: 4.1578 2020-11-08 20:07:34,560 - mmaction - INFO - Saving checkpoint at 15 epochs 2020-11-08 20:09:30,676 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:09:30,698 - mmaction - INFO - top1_acc 0.4954 top5_acc 0.7817 2020-11-08 20:09:30,699 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:09:30,704 - mmaction - INFO - mean_acc 0.4954 2020-11-08 20:09:30,705 - mmaction - INFO - Epoch(val) [15][28] top1_acc: 0.4954, top5_acc: 0.7817, mean_class_accuracy: 0.4954 2020-11-08 20:12:10,187 - mmaction - INFO - Epoch [16][20/28] lr: 2.500e-02, eta: 1:11:30, time: 7.967, data_time: 5.444, memory: 21535, top1_acc: 0.8020, top5_acc: 0.9457, loss_cls: 0.6970, loss: 0.6970, grad_norm: 4.2157 2020-11-08 20:14:30,793 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:14:30,830 - mmaction - INFO - top1_acc 0.4582 top5_acc 0.7529 2020-11-08 20:14:30,830 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:14:30,835 - mmaction - INFO - mean_acc 0.4582 2020-11-08 20:14:30,835 - mmaction - INFO - Epoch(val) [16][28] top1_acc: 0.4582, top5_acc: 0.7529, mean_class_accuracy: 0.4582 2020-11-08 20:16:42,500 - mmaction - INFO - Epoch [17][20/28] lr: 2.500e-02, eta: 1:09:38, time: 6.578, data_time: 5.587, memory: 21535, top1_acc: 0.7930, top5_acc: 0.9527, loss_cls: 0.6911, loss: 0.6911, grad_norm: 4.3718 2020-11-08 20:18:54,123 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:18:54,155 - mmaction - INFO - top1_acc 0.4157 top5_acc 0.7562 2020-11-08 20:18:54,155 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:18:54,159 - mmaction - INFO - mean_acc 0.4157 2020-11-08 20:18:54,160 - mmaction - INFO - Epoch(val) [17][28] top1_acc: 0.4157, top5_acc: 0.7562, mean_class_accuracy: 0.4157 2020-11-08 20:21:03,995 - mmaction - INFO - Epoch [18][20/28] lr: 2.500e-02, eta: 1:07:40, time: 6.487, data_time: 5.440, memory: 21535, top1_acc: 0.8137, top5_acc: 0.9500, loss_cls: 0.6598, loss: 0.6598, grad_norm: 3.8257 2020-11-08 20:23:11,723 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:23:11,752 - mmaction - INFO - top1_acc 0.4641 top5_acc 0.7745 2020-11-08 20:23:11,752 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:23:11,757 - mmaction - INFO - mean_acc 0.4641 2020-11-08 20:23:11,757 - mmaction - INFO - Epoch(val) [18][28] top1_acc: 0.4641, top5_acc: 0.7745, mean_class_accuracy: 0.4641 2020-11-08 20:25:24,169 - mmaction - INFO - Epoch [19][20/28] lr: 2.500e-02, eta: 1:05:45, time: 6.611, data_time: 5.670, memory: 21535, top1_acc: 0.8336, top5_acc: 0.9527, loss_cls: 0.5962, loss: 0.5962, grad_norm: 3.7373 2020-11-08 20:27:30,834 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:27:30,867 - mmaction - INFO - top1_acc 0.4562 top5_acc 0.7928 2020-11-08 20:27:30,867 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:27:30,872 - mmaction - INFO - mean_acc 0.4562 2020-11-08 20:27:30,873 - mmaction - INFO - Epoch(val) [19][28] top1_acc: 0.4562, top5_acc: 0.7928, mean_class_accuracy: 0.4562 2020-11-08 20:29:41,936 - mmaction - INFO - Epoch [20][20/28] lr: 2.500e-02, eta: 1:03:46, time: 6.548, data_time: 5.487, memory: 21535, top1_acc: 0.8414, top5_acc: 0.9629, loss_cls: 0.5514, loss: 0.5514, grad_norm: 3.8260 2020-11-08 20:29:54,567 - mmaction - INFO - Saving checkpoint at 20 epochs 2020-11-08 20:32:15,746 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:32:15,781 - mmaction - INFO - top1_acc 0.4569 top5_acc 0.7667 2020-11-08 20:32:15,781 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:32:15,785 - mmaction - INFO - mean_acc 0.4569 2020-11-08 20:32:15,786 - mmaction - INFO - Epoch(val) [20][28] top1_acc: 0.4569, top5_acc: 0.7667, mean_class_accuracy: 0.4569 2020-11-08 20:34:33,596 - mmaction - INFO - Epoch [21][20/28] lr: 2.500e-03, eta: 1:01:56, time: 6.887, data_time: 5.932, memory: 21535, top1_acc: 0.8523, top5_acc: 0.9633, loss_cls: 0.5107, loss: 0.5107, grad_norm: 3.4213 2020-11-08 20:36:31,555 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:36:31,569 - mmaction - INFO - top1_acc 0.5582 top5_acc 0.8477 2020-11-08 20:36:31,569 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:36:31,573 - mmaction - INFO - mean_acc 0.5582 2020-11-08 20:36:31,574 - mmaction - INFO - Epoch(val) [21][28] top1_acc: 0.5582, top5_acc: 0.8477, mean_class_accuracy: 0.5582 2020-11-08 20:38:33,935 - mmaction - INFO - Epoch [22][20/28] lr: 2.500e-03, eta: 0:59:43, time: 6.112, data_time: 5.145, memory: 21535, top1_acc: 0.8801, top5_acc: 0.9812, loss_cls: 0.3998, loss: 0.3998, grad_norm: 3.0752 2020-11-08 20:40:34,112 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:40:34,120 - mmaction - INFO - top1_acc 0.5601 top5_acc 0.8444 2020-11-08 20:40:34,120 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:40:34,124 - mmaction - INFO - mean_acc 0.5601 2020-11-08 20:40:34,125 - mmaction - INFO - Epoch(val) [22][28] top1_acc: 0.5601, top5_acc: 0.8444, mean_class_accuracy: 0.5601 2020-11-08 20:42:42,830 - mmaction - INFO - Epoch [23][20/28] lr: 2.500e-03, eta: 0:57:38, time: 6.430, data_time: 5.521, memory: 21535, top1_acc: 0.9023, top5_acc: 0.9836, loss_cls: 0.3494, loss: 0.3494, grad_norm: 2.8522 2020-11-08 20:45:07,874 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:45:07,891 - mmaction - INFO - top1_acc 0.5588 top5_acc 0.8412 2020-11-08 20:45:07,891 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:45:07,895 - mmaction - INFO - mean_acc 0.5588 2020-11-08 20:45:07,896 - mmaction - INFO - Epoch(val) [23][28] top1_acc: 0.5588, top5_acc: 0.8412, mean_class_accuracy: 0.5588 2020-11-08 20:47:19,011 - mmaction - INFO - Epoch [24][20/28] lr: 2.500e-03, eta: 0:55:36, time: 6.549, data_time: 5.493, memory: 21535, top1_acc: 0.9051, top5_acc: 0.9824, loss_cls: 0.3269, loss: 0.3269, grad_norm: 2.7540 2020-11-08 20:48:36,057 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:48:36,065 - mmaction - INFO - top1_acc 0.5569 top5_acc 0.8464 2020-11-08 20:48:36,065 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:48:36,069 - mmaction - INFO - mean_acc 0.5569 2020-11-08 20:48:36,070 - mmaction - INFO - Epoch(val) [24][28] top1_acc: 0.5569, top5_acc: 0.8464, mean_class_accuracy: 0.5569 2020-11-08 20:50:44,834 - mmaction - INFO - Epoch [25][20/28] lr: 2.500e-03, eta: 0:53:31, time: 6.431, data_time: 5.410, memory: 21535, top1_acc: 0.9125, top5_acc: 0.9824, loss_cls: 0.3037, loss: 0.3037, grad_norm: 2.7378 2020-11-08 20:50:57,671 - mmaction - INFO - Saving checkpoint at 25 epochs 2020-11-08 20:52:08,224 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:52:08,231 - mmaction - INFO - top1_acc 0.5588 top5_acc 0.8431 2020-11-08 20:52:08,231 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:52:08,236 - mmaction - INFO - mean_acc 0.5588 2020-11-08 20:52:08,236 - mmaction - INFO - Epoch(val) [25][28] top1_acc: 0.5588, top5_acc: 0.8431, mean_class_accuracy: 0.5588 2020-11-08 20:53:49,155 - mmaction - INFO - Epoch [26][20/28] lr: 2.500e-03, eta: 0:50:59, time: 5.039, data_time: 4.043, memory: 21535, top1_acc: 0.9195, top5_acc: 0.9816, loss_cls: 0.3000, loss: 0.3000, grad_norm: 2.6195 2020-11-08 20:55:33,330 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:55:33,338 - mmaction - INFO - top1_acc 0.5575 top5_acc 0.8418 2020-11-08 20:55:33,338 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:55:33,342 - mmaction - INFO - mean_acc 0.5575 2020-11-08 20:55:33,342 - mmaction - INFO - Epoch(val) [26][28] top1_acc: 0.5575, top5_acc: 0.8418, mean_class_accuracy: 0.5575 2020-11-08 20:57:14,781 - mmaction - INFO - Epoch [27][20/28] lr: 2.500e-03, eta: 0:48:32, time: 5.063, data_time: 3.914, memory: 21535, top1_acc: 0.9246, top5_acc: 0.9855, loss_cls: 0.2583, loss: 0.2583, grad_norm: 2.5528 2020-11-08 20:58:26,325 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 20:58:26,344 - mmaction - INFO - top1_acc 0.5621 top5_acc 0.8484 2020-11-08 20:58:26,344 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 20:58:26,348 - mmaction - INFO - mean_acc 0.5621 2020-11-08 20:58:26,348 - mmaction - INFO - Epoch(val) [27][28] top1_acc: 0.5621, top5_acc: 0.8484, mean_class_accuracy: 0.5621 2020-11-08 21:01:00,583 - mmaction - INFO - Epoch [28][20/28] lr: 2.500e-03, eta: 0:46:50, time: 7.704, data_time: 6.720, memory: 21535, top1_acc: 0.9254, top5_acc: 0.9840, loss_cls: 0.2635, loss: 0.2635, grad_norm: 2.6665 2020-11-08 21:02:07,749 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:02:07,765 - mmaction - INFO - top1_acc 0.5621 top5_acc 0.8464 2020-11-08 21:02:07,765 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:02:07,772 - mmaction - INFO - mean_acc 0.5621 2020-11-08 21:02:07,773 - mmaction - INFO - Epoch(val) [28][28] top1_acc: 0.5621, top5_acc: 0.8464, mean_class_accuracy: 0.5621 2020-11-08 21:04:13,924 - mmaction - INFO - Epoch [29][20/28] lr: 2.500e-03, eta: 0:44:44, time: 6.304, data_time: 5.224, memory: 21535, top1_acc: 0.9262, top5_acc: 0.9879, loss_cls: 0.2474, loss: 0.2474, grad_norm: 2.5346 2020-11-08 21:06:17,863 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:06:17,916 - mmaction - INFO - top1_acc 0.5680 top5_acc 0.8490 2020-11-08 21:06:17,916 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:06:17,920 - mmaction - INFO - mean_acc 0.5680 2020-11-08 21:06:17,921 - mmaction - INFO - Epoch(val) [29][28] top1_acc: 0.5680, top5_acc: 0.8490, mean_class_accuracy: 0.5680 2020-11-08 21:08:10,085 - mmaction - INFO - Epoch [30][20/28] lr: 2.500e-03, eta: 0:42:28, time: 5.603, data_time: 4.682, memory: 21535, top1_acc: 0.9219, top5_acc: 0.9816, loss_cls: 0.2726, loss: 0.2726, grad_norm: 2.6618 2020-11-08 21:08:25,719 - mmaction - INFO - Saving checkpoint at 30 epochs 2020-11-08 21:09:18,560 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:09:18,573 - mmaction - INFO - top1_acc 0.5569 top5_acc 0.8503 2020-11-08 21:09:18,574 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:09:18,578 - mmaction - INFO - mean_acc 0.5569 2020-11-08 21:09:18,578 - mmaction - INFO - Epoch(val) [30][28] top1_acc: 0.5569, top5_acc: 0.8503, mean_class_accuracy: 0.5569 2020-11-08 21:11:10,301 - mmaction - INFO - Epoch [31][20/28] lr: 2.500e-03, eta: 0:40:14, time: 5.581, data_time: 4.545, memory: 21535, top1_acc: 0.9324, top5_acc: 0.9848, loss_cls: 0.2325, loss: 0.2325, grad_norm: 2.4574 2020-11-08 21:12:46,831 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:12:46,861 - mmaction - INFO - top1_acc 0.5680 top5_acc 0.8503 2020-11-08 21:12:46,861 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:12:46,865 - mmaction - INFO - mean_acc 0.5680 2020-11-08 21:12:46,865 - mmaction - INFO - Epoch(val) [31][28] top1_acc: 0.5680, top5_acc: 0.8503, mean_class_accuracy: 0.5680 2020-11-08 21:15:22,763 - mmaction - INFO - Epoch [32][20/28] lr: 2.500e-03, eta: 0:38:26, time: 7.782, data_time: 6.881, memory: 21535, top1_acc: 0.9199, top5_acc: 0.9836, loss_cls: 0.2793, loss: 0.2793, grad_norm: 2.8395 2020-11-08 21:17:33,481 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:17:33,490 - mmaction - INFO - top1_acc 0.5667 top5_acc 0.8484 2020-11-08 21:17:33,490 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:17:33,495 - mmaction - INFO - mean_acc 0.5667 2020-11-08 21:17:33,495 - mmaction - INFO - Epoch(val) [32][28] top1_acc: 0.5667, top5_acc: 0.8484, mean_class_accuracy: 0.5667 2020-11-08 21:19:40,976 - mmaction - INFO - Epoch [33][20/28] lr: 2.500e-03, eta: 0:36:21, time: 6.367, data_time: 5.408, memory: 21535, top1_acc: 0.9277, top5_acc: 0.9855, loss_cls: 0.2459, loss: 0.2459, grad_norm: 2.6123 2020-11-08 21:21:46,736 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:21:46,768 - mmaction - INFO - top1_acc 0.5732 top5_acc 0.8444 2020-11-08 21:21:46,768 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:21:46,773 - mmaction - INFO - mean_acc 0.5732 2020-11-08 21:21:46,774 - mmaction - INFO - Epoch(val) [33][28] top1_acc: 0.5732, top5_acc: 0.8444, mean_class_accuracy: 0.5732 2020-11-08 21:23:54,844 - mmaction - INFO - Epoch [34][20/28] lr: 2.500e-03, eta: 0:34:15, time: 6.399, data_time: 5.412, memory: 21535, top1_acc: 0.9359, top5_acc: 0.9855, loss_cls: 0.2302, loss: 0.2302, grad_norm: 2.4832 2020-11-08 21:25:45,960 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:25:45,969 - mmaction - INFO - top1_acc 0.5614 top5_acc 0.8438 2020-11-08 21:25:45,969 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:25:45,974 - mmaction - INFO - mean_acc 0.5614 2020-11-08 21:25:45,974 - mmaction - INFO - Epoch(val) [34][28] top1_acc: 0.5614, top5_acc: 0.8438, mean_class_accuracy: 0.5614 2020-11-08 21:28:03,956 - mmaction - INFO - Epoch [35][20/28] lr: 2.500e-03, eta: 0:32:14, time: 6.891, data_time: 5.799, memory: 21535, top1_acc: 0.9410, top5_acc: 0.9902, loss_cls: 0.2042, loss: 0.2042, grad_norm: 2.5444 2020-11-08 21:28:17,453 - mmaction - INFO - Saving checkpoint at 35 epochs 2020-11-08 21:30:09,833 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:30:09,847 - mmaction - INFO - top1_acc 0.5641 top5_acc 0.8418 2020-11-08 21:30:09,847 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:30:09,852 - mmaction - INFO - mean_acc 0.5641 2020-11-08 21:30:09,852 - mmaction - INFO - Epoch(val) [35][28] top1_acc: 0.5641, top5_acc: 0.8418, mean_class_accuracy: 0.5641 2020-11-08 21:32:25,114 - mmaction - INFO - Epoch [36][20/28] lr: 2.500e-03, eta: 0:30:11, time: 6.758, data_time: 5.825, memory: 21535, top1_acc: 0.9305, top5_acc: 0.9848, loss_cls: 0.2494, loss: 0.2494, grad_norm: 2.6627 2020-11-08 21:34:41,266 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:34:41,281 - mmaction - INFO - top1_acc 0.5680 top5_acc 0.8490 2020-11-08 21:34:41,281 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:34:41,285 - mmaction - INFO - mean_acc 0.5680 2020-11-08 21:34:41,286 - mmaction - INFO - Epoch(val) [36][28] top1_acc: 0.5680, top5_acc: 0.8490, mean_class_accuracy: 0.5680 2020-11-08 21:36:38,144 - mmaction - INFO - Epoch [37][20/28] lr: 2.500e-03, eta: 0:28:01, time: 5.836, data_time: 4.789, memory: 21535, top1_acc: 0.9422, top5_acc: 0.9930, loss_cls: 0.2053, loss: 0.2053, grad_norm: 2.4671 2020-11-08 21:38:42,026 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:38:42,042 - mmaction - INFO - top1_acc 0.5608 top5_acc 0.8431 2020-11-08 21:38:42,042 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:38:42,047 - mmaction - INFO - mean_acc 0.5608 2020-11-08 21:38:42,047 - mmaction - INFO - Epoch(val) [37][28] top1_acc: 0.5608, top5_acc: 0.8431, mean_class_accuracy: 0.5608 2020-11-08 21:40:43,773 - mmaction - INFO - Epoch [38][20/28] lr: 2.500e-03, eta: 0:25:52, time: 6.079, data_time: 5.019, memory: 21535, top1_acc: 0.9340, top5_acc: 0.9906, loss_cls: 0.2236, loss: 0.2236, grad_norm: 2.6122 2020-11-08 21:43:11,147 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:43:11,156 - mmaction - INFO - top1_acc 0.5588 top5_acc 0.8412 2020-11-08 21:43:11,156 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:43:11,160 - mmaction - INFO - mean_acc 0.5588 2020-11-08 21:43:11,161 - mmaction - INFO - Epoch(val) [38][28] top1_acc: 0.5588, top5_acc: 0.8412, mean_class_accuracy: 0.5588 2020-11-08 21:45:33,511 - mmaction - INFO - Epoch [39][20/28] lr: 2.500e-03, eta: 0:23:51, time: 7.112, data_time: 5.977, memory: 21535, top1_acc: 0.9367, top5_acc: 0.9895, loss_cls: 0.2222, loss: 0.2222, grad_norm: 2.5882 2020-11-08 21:47:47,134 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:47:47,142 - mmaction - INFO - top1_acc 0.5582 top5_acc 0.8503 2020-11-08 21:47:47,142 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:47:47,147 - mmaction - INFO - mean_acc 0.5582 2020-11-08 21:47:47,147 - mmaction - INFO - Epoch(val) [39][28] top1_acc: 0.5582, top5_acc: 0.8503, mean_class_accuracy: 0.5582 2020-11-08 21:50:00,239 - mmaction - INFO - Epoch [40][20/28] lr: 2.500e-03, eta: 0:21:45, time: 6.646, data_time: 5.683, memory: 21535, top1_acc: 0.9418, top5_acc: 0.9906, loss_cls: 0.2115, loss: 0.2115, grad_norm: 2.5785 2020-11-08 21:50:13,071 - mmaction - INFO - Saving checkpoint at 40 epochs 2020-11-08 21:52:15,175 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:52:15,203 - mmaction - INFO - top1_acc 0.5608 top5_acc 0.8444 2020-11-08 21:52:15,203 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:52:15,208 - mmaction - INFO - mean_acc 0.5608 2020-11-08 21:52:15,208 - mmaction - INFO - Epoch(val) [40][28] top1_acc: 0.5608, top5_acc: 0.8444, mean_class_accuracy: 0.5608 2020-11-08 21:54:28,427 - mmaction - INFO - Epoch [41][20/28] lr: 2.500e-04, eta: 0:19:40, time: 6.653, data_time: 5.632, memory: 21535, top1_acc: 0.9352, top5_acc: 0.9887, loss_cls: 0.2145, loss: 0.2145, grad_norm: 2.5329 2020-11-08 21:56:58,795 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 21:56:58,809 - mmaction - INFO - top1_acc 0.5549 top5_acc 0.8484 2020-11-08 21:56:58,810 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 21:56:58,814 - mmaction - INFO - mean_acc 0.5549 2020-11-08 21:56:58,814 - mmaction - INFO - Epoch(val) [41][28] top1_acc: 0.5549, top5_acc: 0.8484, mean_class_accuracy: 0.5549 2020-11-08 21:59:16,482 - mmaction - INFO - Epoch [42][20/28] lr: 2.500e-04, eta: 0:17:35, time: 6.876, data_time: 5.903, memory: 21535, top1_acc: 0.9402, top5_acc: 0.9918, loss_cls: 0.2083, loss: 0.2083, grad_norm: 2.6702 2020-11-08 22:01:33,880 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:01:33,919 - mmaction - INFO - top1_acc 0.5575 top5_acc 0.8523 2020-11-08 22:01:33,919 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:01:33,923 - mmaction - INFO - mean_acc 0.5575 2020-11-08 22:01:33,924 - mmaction - INFO - Epoch(val) [42][28] top1_acc: 0.5575, top5_acc: 0.8523, mean_class_accuracy: 0.5575 2020-11-08 22:03:54,014 - mmaction - INFO - Epoch [43][20/28] lr: 2.500e-04, eta: 0:15:30, time: 6.997, data_time: 6.049, memory: 21535, top1_acc: 0.9441, top5_acc: 0.9914, loss_cls: 0.1956, loss: 0.1956, grad_norm: 2.4642 2020-11-08 22:06:07,104 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:06:07,136 - mmaction - INFO - top1_acc 0.5608 top5_acc 0.8549 2020-11-08 22:06:07,136 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:06:07,140 - mmaction - INFO - mean_acc 0.5608 2020-11-08 22:06:07,141 - mmaction - INFO - Epoch(val) [43][28] top1_acc: 0.5608, top5_acc: 0.8549, mean_class_accuracy: 0.5608 2020-11-08 22:08:12,842 - mmaction - INFO - Epoch [44][20/28] lr: 2.500e-04, eta: 0:13:22, time: 6.280, data_time: 5.103, memory: 21535, top1_acc: 0.9406, top5_acc: 0.9906, loss_cls: 0.2062, loss: 0.2062, grad_norm: 2.6924 2020-11-08 22:10:26,313 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:10:26,321 - mmaction - INFO - top1_acc 0.5621 top5_acc 0.8510 2020-11-08 22:10:26,321 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:10:26,326 - mmaction - INFO - mean_acc 0.5621 2020-11-08 22:10:26,326 - mmaction - INFO - Epoch(val) [44][28] top1_acc: 0.5621, top5_acc: 0.8510, mean_class_accuracy: 0.5621 2020-11-08 22:12:59,013 - mmaction - INFO - Epoch [45][20/28] lr: 2.500e-04, eta: 0:11:17, time: 7.627, data_time: 6.603, memory: 21535, top1_acc: 0.9465, top5_acc: 0.9922, loss_cls: 0.1887, loss: 0.1887, grad_norm: 2.5149 2020-11-08 22:13:18,772 - mmaction - INFO - Saving checkpoint at 45 epochs 2020-11-08 22:15:26,708 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:15:26,743 - mmaction - INFO - top1_acc 0.5641 top5_acc 0.8549 2020-11-08 22:15:26,743 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:15:26,748 - mmaction - INFO - mean_acc 0.5641 2020-11-08 22:15:26,749 - mmaction - INFO - Epoch(val) [45][28] top1_acc: 0.5641, top5_acc: 0.8549, mean_class_accuracy: 0.5641 2020-11-08 22:17:42,679 - mmaction - INFO - Epoch [46][20/28] lr: 2.500e-04, eta: 0:09:10, time: 6.792, data_time: 5.863, memory: 21535, top1_acc: 0.9457, top5_acc: 0.9887, loss_cls: 0.2002, loss: 0.2002, grad_norm: 2.5696 2020-11-08 22:19:53,547 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:19:53,564 - mmaction - INFO - top1_acc 0.5634 top5_acc 0.8516 2020-11-08 22:19:53,564 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:19:53,568 - mmaction - INFO - mean_acc 0.5634 2020-11-08 22:19:53,568 - mmaction - INFO - Epoch(val) [46][28] top1_acc: 0.5634, top5_acc: 0.8516, mean_class_accuracy: 0.5634 2020-11-08 22:22:05,759 - mmaction - INFO - Epoch [47][20/28] lr: 2.500e-04, eta: 0:07:01, time: 6.606, data_time: 5.691, memory: 21535, top1_acc: 0.9410, top5_acc: 0.9879, loss_cls: 0.2013, loss: 0.2013, grad_norm: 2.5914 2020-11-08 22:24:30,403 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:24:30,427 - mmaction - INFO - top1_acc 0.5660 top5_acc 0.8510 2020-11-08 22:24:30,428 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:24:30,432 - mmaction - INFO - mean_acc 0.5660 2020-11-08 22:24:30,432 - mmaction - INFO - Epoch(val) [47][28] top1_acc: 0.5660, top5_acc: 0.8510, mean_class_accuracy: 0.5660 2020-11-08 22:27:02,501 - mmaction - INFO - Epoch [48][20/28] lr: 2.500e-04, eta: 0:04:54, time: 7.594, data_time: 6.699, memory: 21535, top1_acc: 0.9355, top5_acc: 0.9855, loss_cls: 0.2239, loss: 0.2239, grad_norm: 2.6780 2020-11-08 22:29:16,752 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:29:16,776 - mmaction - INFO - top1_acc 0.5641 top5_acc 0.8477 2020-11-08 22:29:16,776 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:29:16,784 - mmaction - INFO - mean_acc 0.5641 2020-11-08 22:29:16,784 - mmaction - INFO - Epoch(val) [48][28] top1_acc: 0.5641, top5_acc: 0.8477, mean_class_accuracy: 0.5641 2020-11-08 22:31:28,998 - mmaction - INFO - Epoch [49][20/28] lr: 2.500e-04, eta: 0:02:45, time: 6.601, data_time: 5.684, memory: 21535, top1_acc: 0.9398, top5_acc: 0.9863, loss_cls: 0.2181, loss: 0.2181, grad_norm: 2.6022 2020-11-08 22:33:48,562 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:33:48,581 - mmaction - INFO - top1_acc 0.5667 top5_acc 0.8477 2020-11-08 22:33:48,581 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:33:48,586 - mmaction - INFO - mean_acc 0.5667 2020-11-08 22:33:48,586 - mmaction - INFO - Epoch(val) [49][28] top1_acc: 0.5667, top5_acc: 0.8477, mean_class_accuracy: 0.5667 2020-11-08 22:36:08,577 - mmaction - INFO - Epoch [50][20/28] lr: 2.500e-04, eta: 0:00:36, time: 6.993, data_time: 6.049, memory: 21535, top1_acc: 0.9437, top5_acc: 0.9914, loss_cls: 0.1995, loss: 0.1995, grad_norm: 2.5661 2020-11-08 22:36:20,794 - mmaction - INFO - Saving checkpoint at 50 epochs 2020-11-08 22:38:24,480 - mmaction - INFO - Evaluating top_k_accuracy... 2020-11-08 22:38:24,492 - mmaction - INFO - top1_acc 0.5654 top5_acc 0.8444 2020-11-08 22:38:24,492 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-11-08 22:38:24,497 - mmaction - INFO - mean_acc 0.5654 2020-11-08 22:38:24,498 - mmaction - INFO - Epoch(val) [50][28] top1_acc: 0.5654, top5_acc: 0.8444, mean_class_accuracy: 0.5654