2020-10-25 23:11:09,240 - 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 ------------------------------------------------------------ 2020-10-25 23:11:09,240 - mmaction - INFO - Distributed training: True 2020-10-25 23:11:09,240 - mmaction - INFO - Config: /mnt/lustre/share_data/ugc/mmaction2/configs/hmdb/tsn_r50_1x1x8_50e_hmdb51_imagenet_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=29512) log_level = 'INFO' work_dir = './work_dirs/tsn_r50_1x1x8_50e_hmdb51_imagenet_rgb/' #change load_from = None resume_from = None workflow = [('train', 1)] 2020-10-25 23:11:16,525 - mmaction - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2020-10-25 23:11:17,714 - 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_imagenet_rgb 2020-10-25 23:11:17,714 - mmaction - INFO - workflow: [('train', 1)], max: 50 epochs 2020-10-25 23:12:50,199 - mmaction - INFO - Epoch [1][20/28] lr: 2.500e-02, eta: 1:42:46, time: 4.469, data_time: 3.487, memory: 21535, top1_acc: 0.1059, top5_acc: 0.2914, loss_cls: 3.6091, loss: 3.6091, grad_norm: 3.6423 2020-10-25 23:14:12,349 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:14:12,357 - mmaction - INFO - top1_acc 0.2817 top5_acc 0.6235 2020-10-25 23:14:12,357 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:14:12,360 - mmaction - INFO - mean_acc 0.2817 2020-10-25 23:14:12,360 - mmaction - INFO - Now best checkpoint is epoch_1.pth 2020-10-25 23:14:12,362 - mmaction - INFO - Epoch(val) [1][28] top1_acc: 0.2817, top5_acc: 0.6235, mean_class_accuracy: 0.2817 2020-10-25 23:16:25,002 - mmaction - INFO - Epoch [2][20/28] lr: 2.500e-02, eta: 1:44:11, time: 6.628, data_time: 5.552, memory: 21535, top1_acc: 0.4160, top5_acc: 0.7223, loss_cls: 2.1243, loss: 2.1243, grad_norm: 4.3034 2020-10-25 23:18:43,918 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:18:43,926 - mmaction - INFO - top1_acc 0.3719 top5_acc 0.6686 2020-10-25 23:18:43,926 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:18:43,934 - mmaction - INFO - mean_acc 0.3719 2020-10-25 23:18:43,934 - mmaction - INFO - Now best checkpoint is epoch_2.pth 2020-10-25 23:18:43,936 - mmaction - INFO - Epoch(val) [2][28] top1_acc: 0.3719, top5_acc: 0.6686, mean_class_accuracy: 0.3719 2020-10-25 23:20:58,665 - mmaction - INFO - Epoch [3][20/28] lr: 2.500e-02, eta: 1:43:31, time: 6.732, data_time: 5.761, memory: 21535, top1_acc: 0.5375, top5_acc: 0.8164, loss_cls: 1.6606, loss: 1.6606, grad_norm: 4.5345 2020-10-25 23:23:18,432 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:23:18,456 - mmaction - INFO - top1_acc 0.4092 top5_acc 0.7124 2020-10-25 23:23:18,456 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:23:18,460 - mmaction - INFO - mean_acc 0.4092 2020-10-25 23:23:18,460 - mmaction - INFO - Now best checkpoint is epoch_3.pth 2020-10-25 23:23:18,463 - mmaction - INFO - Epoch(val) [3][28] top1_acc: 0.4092, top5_acc: 0.7124, mean_class_accuracy: 0.4092 2020-10-25 23:25:37,420 - mmaction - INFO - Epoch [4][20/28] lr: 2.500e-02, eta: 1:42:54, time: 6.943, data_time: 5.982, memory: 21535, top1_acc: 0.6023, top5_acc: 0.8535, loss_cls: 1.4503, loss: 1.4503, grad_norm: 4.4592 2020-10-25 23:28:00,304 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:28:00,320 - mmaction - INFO - top1_acc 0.3569 top5_acc 0.6706 2020-10-25 23:28:00,320 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:28:00,368 - mmaction - INFO - mean_acc 0.3569 2020-10-25 23:28:00,369 - mmaction - INFO - Epoch(val) [4][28] top1_acc: 0.3569, top5_acc: 0.6706, mean_class_accuracy: 0.3569 2020-10-25 23:30:18,330 - mmaction - INFO - Epoch [5][20/28] lr: 2.500e-02, eta: 1:41:23, time: 6.894, data_time: 6.003, memory: 21535, top1_acc: 0.6262, top5_acc: 0.8684, loss_cls: 1.3179, loss: 1.3179, grad_norm: 4.3731 2020-10-25 23:30:33,623 - mmaction - INFO - Saving checkpoint at 5 epochs 2020-10-25 23:32:40,053 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:32:40,062 - mmaction - INFO - top1_acc 0.4000 top5_acc 0.7359 2020-10-25 23:32:40,062 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:32:40,078 - mmaction - INFO - mean_acc 0.4000 2020-10-25 23:32:40,078 - mmaction - INFO - Epoch(val) [5][28] top1_acc: 0.4000, top5_acc: 0.7359, mean_class_accuracy: 0.4000 2020-10-25 23:34:55,856 - mmaction - INFO - Epoch [6][20/28] lr: 2.500e-02, eta: 1:39:19, time: 6.785, data_time: 5.701, memory: 21535, top1_acc: 0.6578, top5_acc: 0.8926, loss_cls: 1.1835, loss: 1.1835, grad_norm: 4.3962 2020-10-25 23:37:13,307 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:37:13,317 - mmaction - INFO - top1_acc 0.3961 top5_acc 0.7288 2020-10-25 23:37:13,317 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:37:13,323 - mmaction - INFO - mean_acc 0.3961 2020-10-25 23:37:13,323 - mmaction - INFO - Epoch(val) [6][28] top1_acc: 0.3961, top5_acc: 0.7288, mean_class_accuracy: 0.3961 2020-10-25 23:39:30,612 - mmaction - INFO - Epoch [7][20/28] lr: 2.500e-02, eta: 1:37:22, time: 6.860, data_time: 5.794, memory: 21535, top1_acc: 0.6832, top5_acc: 0.9016, loss_cls: 1.0904, loss: 1.0904, grad_norm: 4.3300 2020-10-25 23:41:44,632 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:41:44,641 - mmaction - INFO - top1_acc 0.4052 top5_acc 0.7386 2020-10-25 23:41:44,641 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:41:44,649 - mmaction - INFO - mean_acc 0.4052 2020-10-25 23:41:44,650 - mmaction - INFO - Epoch(val) [7][28] top1_acc: 0.4052, top5_acc: 0.7386, mean_class_accuracy: 0.4052 2020-10-25 23:44:00,342 - mmaction - INFO - Epoch [8][20/28] lr: 2.500e-02, eta: 1:35:10, time: 6.780, data_time: 5.830, memory: 21535, top1_acc: 0.6965, top5_acc: 0.9059, loss_cls: 1.0704, loss: 1.0704, grad_norm: 4.3933 2020-10-25 23:46:20,561 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:46:20,570 - mmaction - INFO - top1_acc 0.4124 top5_acc 0.7275 2020-10-25 23:46:20,570 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:46:20,578 - mmaction - INFO - mean_acc 0.4124 2020-10-25 23:46:20,578 - mmaction - INFO - Now best checkpoint is epoch_8.pth 2020-10-25 23:46:20,580 - mmaction - INFO - Epoch(val) [8][28] top1_acc: 0.4124, top5_acc: 0.7275, mean_class_accuracy: 0.4124 2020-10-25 23:48:30,293 - mmaction - INFO - Epoch [9][20/28] lr: 2.500e-02, eta: 1:32:29, time: 6.481, data_time: 5.375, memory: 21535, top1_acc: 0.7285, top5_acc: 0.9156, loss_cls: 0.9757, loss: 0.9757, grad_norm: 4.1922 2020-10-25 23:50:51,382 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:50:51,390 - mmaction - INFO - top1_acc 0.3706 top5_acc 0.7072 2020-10-25 23:50:51,390 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:50:51,399 - mmaction - INFO - mean_acc 0.3706 2020-10-25 23:50:51,400 - mmaction - INFO - Epoch(val) [9][28] top1_acc: 0.3706, top5_acc: 0.7072, mean_class_accuracy: 0.3706 2020-10-25 23:53:06,562 - mmaction - INFO - Epoch [10][20/28] lr: 2.500e-02, eta: 1:30:18, time: 6.754, data_time: 5.535, memory: 21535, top1_acc: 0.7445, top5_acc: 0.9246, loss_cls: 0.8919, loss: 0.8919, grad_norm: 4.2108 2020-10-25 23:53:19,576 - mmaction - INFO - Saving checkpoint at 10 epochs 2020-10-25 23:55:26,933 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-25 23:55:26,941 - mmaction - INFO - top1_acc 0.3732 top5_acc 0.7007 2020-10-25 23:55:26,941 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-25 23:55:26,952 - mmaction - INFO - mean_acc 0.3732 2020-10-25 23:55:26,953 - mmaction - INFO - Epoch(val) [10][28] top1_acc: 0.3732, top5_acc: 0.7007, mean_class_accuracy: 0.3732 2020-10-25 23:57:42,943 - mmaction - INFO - Epoch [11][20/28] lr: 2.500e-02, eta: 1:28:09, time: 6.796, data_time: 5.783, memory: 21535, top1_acc: 0.7453, top5_acc: 0.9328, loss_cls: 0.8722, loss: 0.8722, grad_norm: 4.2685 2020-10-26 00:00:04,923 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:00:04,931 - mmaction - INFO - top1_acc 0.3876 top5_acc 0.7039 2020-10-26 00:00:04,931 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:00:04,939 - mmaction - INFO - mean_acc 0.3876 2020-10-26 00:00:04,940 - mmaction - INFO - Epoch(val) [11][28] top1_acc: 0.3876, top5_acc: 0.7039, mean_class_accuracy: 0.3876 2020-10-26 00:02:15,508 - mmaction - INFO - Epoch [12][20/28] lr: 2.500e-02, eta: 1:25:40, time: 6.524, data_time: 5.641, memory: 21535, top1_acc: 0.7719, top5_acc: 0.9340, loss_cls: 0.8080, loss: 0.8080, grad_norm: 4.0217 2020-10-26 00:04:36,920 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:04:36,931 - mmaction - INFO - top1_acc 0.3778 top5_acc 0.6941 2020-10-26 00:04:36,931 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:04:36,940 - mmaction - INFO - mean_acc 0.3778 2020-10-26 00:04:36,941 - mmaction - INFO - Epoch(val) [12][28] top1_acc: 0.3778, top5_acc: 0.6941, mean_class_accuracy: 0.3778 2020-10-26 00:06:53,318 - mmaction - INFO - Epoch [13][20/28] lr: 2.500e-02, eta: 1:23:32, time: 6.812, data_time: 5.808, memory: 21535, top1_acc: 0.7688, top5_acc: 0.9383, loss_cls: 0.8031, loss: 0.8031, grad_norm: 4.2366 2020-10-26 00:09:13,044 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:09:13,053 - mmaction - INFO - top1_acc 0.4288 top5_acc 0.7405 2020-10-26 00:09:13,053 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:09:13,061 - mmaction - INFO - mean_acc 0.4288 2020-10-26 00:09:13,061 - mmaction - INFO - Now best checkpoint is epoch_13.pth 2020-10-26 00:09:13,063 - mmaction - INFO - Epoch(val) [13][28] top1_acc: 0.4288, top5_acc: 0.7405, mean_class_accuracy: 0.4288 2020-10-26 00:11:05,734 - mmaction - INFO - Epoch [14][20/28] lr: 2.500e-02, eta: 1:20:20, time: 5.629, data_time: 4.707, memory: 21535, top1_acc: 0.7711, top5_acc: 0.9477, loss_cls: 0.7764, loss: 0.7764, grad_norm: 4.3202 2020-10-26 00:12:32,244 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:12:32,252 - mmaction - INFO - top1_acc 0.3739 top5_acc 0.7157 2020-10-26 00:12:32,252 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:12:32,257 - mmaction - INFO - mean_acc 0.3739 2020-10-26 00:12:32,258 - mmaction - INFO - Epoch(val) [14][28] top1_acc: 0.3739, top5_acc: 0.7157, mean_class_accuracy: 0.3739 2020-10-26 00:14:43,315 - mmaction - INFO - Epoch [15][20/28] lr: 2.500e-02, eta: 1:18:02, time: 6.547, data_time: 5.560, memory: 21535, top1_acc: 0.7812, top5_acc: 0.9457, loss_cls: 0.7369, loss: 0.7369, grad_norm: 4.2364 2020-10-26 00:14:55,456 - mmaction - INFO - Saving checkpoint at 15 epochs 2020-10-26 00:15:28,099 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:15:28,109 - mmaction - INFO - top1_acc 0.3830 top5_acc 0.7444 2020-10-26 00:15:28,109 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:15:28,117 - mmaction - INFO - mean_acc 0.3830 2020-10-26 00:15:28,117 - mmaction - INFO - Epoch(val) [15][28] top1_acc: 0.3830, top5_acc: 0.7444, mean_class_accuracy: 0.3830 2020-10-26 00:16:37,281 - mmaction - INFO - Epoch [16][20/28] lr: 2.500e-02, eta: 1:13:31, time: 3.453, data_time: 2.425, memory: 21535, top1_acc: 0.7727, top5_acc: 0.9473, loss_cls: 0.7618, loss: 0.7618, grad_norm: 4.2206 2020-10-26 00:17:28,262 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:17:28,272 - mmaction - INFO - top1_acc 0.3824 top5_acc 0.7020 2020-10-26 00:17:28,272 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:17:28,275 - mmaction - INFO - mean_acc 0.3824 2020-10-26 00:17:28,276 - mmaction - INFO - Epoch(val) [16][28] top1_acc: 0.3824, top5_acc: 0.7020, mean_class_accuracy: 0.3824 2020-10-26 00:18:39,663 - mmaction - INFO - Epoch [17][20/28] lr: 2.500e-02, eta: 1:09:28, time: 3.567, data_time: 2.618, memory: 21535, top1_acc: 0.7867, top5_acc: 0.9426, loss_cls: 0.7504, loss: 0.7504, grad_norm: 4.3059 2020-10-26 00:20:07,940 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:20:07,949 - mmaction - INFO - top1_acc 0.3621 top5_acc 0.6549 2020-10-26 00:20:07,949 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:20:07,953 - mmaction - INFO - mean_acc 0.3621 2020-10-26 00:20:07,954 - mmaction - INFO - Epoch(val) [17][28] top1_acc: 0.3621, top5_acc: 0.6549, mean_class_accuracy: 0.3621 2020-10-26 00:21:09,795 - mmaction - INFO - Epoch [18][20/28] lr: 2.500e-02, eta: 1:05:27, time: 3.088, data_time: 2.107, memory: 21535, top1_acc: 0.8199, top5_acc: 0.9578, loss_cls: 0.6300, loss: 0.6300, grad_norm: 3.9629 2020-10-26 00:21:52,709 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:21:52,717 - mmaction - INFO - top1_acc 0.3948 top5_acc 0.7092 2020-10-26 00:21:52,717 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:21:52,721 - mmaction - INFO - mean_acc 0.3948 2020-10-26 00:21:52,721 - mmaction - INFO - Epoch(val) [18][28] top1_acc: 0.3948, top5_acc: 0.7092, mean_class_accuracy: 0.3948 2020-10-26 00:22:51,430 - mmaction - INFO - Epoch [19][20/28] lr: 2.500e-02, eta: 1:01:40, time: 2.934, data_time: 1.896, memory: 21535, top1_acc: 0.8117, top5_acc: 0.9535, loss_cls: 0.6418, loss: 0.6418, grad_norm: 3.8471 2020-10-26 00:23:58,174 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:23:58,182 - mmaction - INFO - top1_acc 0.4078 top5_acc 0.7170 2020-10-26 00:23:58,182 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:23:58,190 - mmaction - INFO - mean_acc 0.4078 2020-10-26 00:23:58,190 - mmaction - INFO - Epoch(val) [19][28] top1_acc: 0.4078, top5_acc: 0.7170, mean_class_accuracy: 0.4078 2020-10-26 00:24:56,085 - mmaction - INFO - Epoch [20][20/28] lr: 2.500e-02, eta: 0:58:09, time: 2.889, data_time: 1.935, memory: 21535, top1_acc: 0.8234, top5_acc: 0.9613, loss_cls: 0.6030, loss: 0.6030, grad_norm: 3.9507 2020-10-26 00:25:08,659 - mmaction - INFO - Saving checkpoint at 20 epochs 2020-10-26 00:25:43,008 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:25:43,015 - mmaction - INFO - top1_acc 0.4222 top5_acc 0.7510 2020-10-26 00:25:43,015 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:25:43,019 - mmaction - INFO - mean_acc 0.4222 2020-10-26 00:25:43,020 - mmaction - INFO - Epoch(val) [20][28] top1_acc: 0.4222, top5_acc: 0.7510, mean_class_accuracy: 0.4222 2020-10-26 00:26:43,836 - mmaction - INFO - Epoch [21][20/28] lr: 2.500e-03, eta: 0:54:57, time: 3.036, data_time: 2.109, memory: 21535, top1_acc: 0.8543, top5_acc: 0.9652, loss_cls: 0.5076, loss: 0.5076, grad_norm: 3.3705 2020-10-26 00:27:26,000 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:27:26,009 - mmaction - INFO - top1_acc 0.4850 top5_acc 0.7948 2020-10-26 00:27:26,009 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:27:26,015 - mmaction - INFO - mean_acc 0.4850 2020-10-26 00:27:26,015 - mmaction - INFO - Now best checkpoint is epoch_21.pth 2020-10-26 00:27:26,019 - mmaction - INFO - Epoch(val) [21][28] top1_acc: 0.4850, top5_acc: 0.7948, mean_class_accuracy: 0.4850 2020-10-26 00:28:37,257 - mmaction - INFO - Epoch [22][20/28] lr: 2.500e-03, eta: 0:52:10, time: 3.558, data_time: 2.398, memory: 21535, top1_acc: 0.8809, top5_acc: 0.9770, loss_cls: 0.4014, loss: 0.4014, grad_norm: 2.8935 2020-10-26 00:29:20,959 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:29:20,968 - mmaction - INFO - top1_acc 0.4732 top5_acc 0.7941 2020-10-26 00:29:20,968 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:29:20,972 - mmaction - INFO - mean_acc 0.4732 2020-10-26 00:29:20,972 - mmaction - INFO - Epoch(val) [22][28] top1_acc: 0.4732, top5_acc: 0.7941, mean_class_accuracy: 0.4732 2020-10-26 00:30:14,969 - mmaction - INFO - Epoch [23][20/28] lr: 2.500e-03, eta: 0:49:11, time: 2.696, data_time: 1.677, memory: 21535, top1_acc: 0.9125, top5_acc: 0.9840, loss_cls: 0.3158, loss: 0.3158, grad_norm: 2.6788 2020-10-26 00:31:50,670 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:31:50,701 - mmaction - INFO - top1_acc 0.4791 top5_acc 0.8026 2020-10-26 00:31:50,701 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:31:50,709 - mmaction - INFO - mean_acc 0.4791 2020-10-26 00:31:50,710 - mmaction - INFO - Epoch(val) [23][28] top1_acc: 0.4791, top5_acc: 0.8026, mean_class_accuracy: 0.4791 2020-10-26 00:32:49,675 - mmaction - INFO - Epoch [24][20/28] lr: 2.500e-03, eta: 0:46:28, time: 2.944, data_time: 1.929, memory: 21535, top1_acc: 0.8945, top5_acc: 0.9777, loss_cls: 0.3468, loss: 0.3468, grad_norm: 2.8233 2020-10-26 00:33:41,129 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:33:41,137 - mmaction - INFO - top1_acc 0.4804 top5_acc 0.7993 2020-10-26 00:33:41,137 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:33:41,140 - mmaction - INFO - mean_acc 0.4804 2020-10-26 00:33:41,140 - mmaction - INFO - Epoch(val) [24][28] top1_acc: 0.4804, top5_acc: 0.7993, mean_class_accuracy: 0.4804 2020-10-26 00:34:54,436 - mmaction - INFO - Epoch [25][20/28] lr: 2.500e-03, eta: 0:44:09, time: 3.661, data_time: 2.767, memory: 21535, top1_acc: 0.9086, top5_acc: 0.9812, loss_cls: 0.3277, loss: 0.3277, grad_norm: 2.7390 2020-10-26 00:35:06,854 - mmaction - INFO - Saving checkpoint at 25 epochs 2020-10-26 00:35:38,041 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:35:38,049 - mmaction - INFO - top1_acc 0.4752 top5_acc 0.8046 2020-10-26 00:35:38,049 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:35:38,052 - mmaction - INFO - mean_acc 0.4752 2020-10-26 00:35:38,053 - mmaction - INFO - Epoch(val) [25][28] top1_acc: 0.4752, top5_acc: 0.8046, mean_class_accuracy: 0.4752 2020-10-26 00:36:47,562 - mmaction - INFO - Epoch [26][20/28] lr: 2.500e-03, eta: 0:41:50, time: 3.472, data_time: 2.296, memory: 21535, top1_acc: 0.9160, top5_acc: 0.9816, loss_cls: 0.3034, loss: 0.3034, grad_norm: 2.6036 2020-10-26 00:38:22,563 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:38:22,571 - mmaction - INFO - top1_acc 0.4667 top5_acc 0.8046 2020-10-26 00:38:22,571 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:38:22,576 - mmaction - INFO - mean_acc 0.4667 2020-10-26 00:38:22,576 - mmaction - INFO - Epoch(val) [26][28] top1_acc: 0.4667, top5_acc: 0.8046, mean_class_accuracy: 0.4667 2020-10-26 00:39:19,008 - mmaction - INFO - Epoch [27][20/28] lr: 2.500e-03, eta: 0:39:26, time: 2.815, data_time: 1.827, memory: 21535, top1_acc: 0.9199, top5_acc: 0.9812, loss_cls: 0.2836, loss: 0.2836, grad_norm: 2.5967 2020-10-26 00:40:02,022 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:40:02,040 - mmaction - INFO - top1_acc 0.4739 top5_acc 0.8065 2020-10-26 00:40:02,041 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:40:02,044 - mmaction - INFO - mean_acc 0.4739 2020-10-26 00:40:02,044 - mmaction - INFO - Epoch(val) [27][28] top1_acc: 0.4739, top5_acc: 0.8065, mean_class_accuracy: 0.4739 2020-10-26 00:41:33,962 - mmaction - INFO - Epoch [28][20/28] lr: 2.500e-03, eta: 0:37:37, time: 4.592, data_time: 3.587, memory: 21535, top1_acc: 0.9277, top5_acc: 0.9883, loss_cls: 0.2584, loss: 0.2584, grad_norm: 2.4287 2020-10-26 00:42:16,459 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:42:16,468 - mmaction - INFO - top1_acc 0.4745 top5_acc 0.8033 2020-10-26 00:42:16,468 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:42:16,471 - mmaction - INFO - mean_acc 0.4745 2020-10-26 00:42:16,471 - mmaction - INFO - Epoch(val) [28][28] top1_acc: 0.4745, top5_acc: 0.8033, mean_class_accuracy: 0.4745 2020-10-26 00:43:33,799 - mmaction - INFO - Epoch [29][20/28] lr: 2.500e-03, eta: 0:35:37, time: 3.862, data_time: 2.832, memory: 21535, top1_acc: 0.9258, top5_acc: 0.9867, loss_cls: 0.2598, loss: 0.2598, grad_norm: 2.5841 2020-10-26 00:44:16,251 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:44:16,277 - mmaction - INFO - top1_acc 0.4765 top5_acc 0.8098 2020-10-26 00:44:16,278 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:44:16,282 - mmaction - INFO - mean_acc 0.4765 2020-10-26 00:44:16,283 - mmaction - INFO - Epoch(val) [29][28] top1_acc: 0.4765, top5_acc: 0.8098, mean_class_accuracy: 0.4765 2020-10-26 00:45:54,490 - mmaction - INFO - Epoch [30][20/28] lr: 2.500e-03, eta: 0:33:55, time: 4.905, data_time: 3.792, memory: 21535, top1_acc: 0.9289, top5_acc: 0.9859, loss_cls: 0.2630, loss: 0.2630, grad_norm: 2.5529 2020-10-26 00:46:06,402 - mmaction - INFO - Saving checkpoint at 30 epochs 2020-10-26 00:47:21,692 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:47:21,701 - mmaction - INFO - top1_acc 0.4745 top5_acc 0.8072 2020-10-26 00:47:21,701 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:47:21,706 - mmaction - INFO - mean_acc 0.4745 2020-10-26 00:47:21,706 - mmaction - INFO - Epoch(val) [30][28] top1_acc: 0.4745, top5_acc: 0.8072, mean_class_accuracy: 0.4745 2020-10-26 00:48:26,410 - mmaction - INFO - Epoch [31][20/28] lr: 2.500e-03, eta: 0:31:53, time: 3.231, data_time: 2.239, memory: 21535, top1_acc: 0.9293, top5_acc: 0.9871, loss_cls: 0.2501, loss: 0.2501, grad_norm: 2.5877 2020-10-26 00:49:12,907 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:49:12,926 - mmaction - INFO - top1_acc 0.4830 top5_acc 0.8092 2020-10-26 00:49:12,926 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:49:12,932 - mmaction - INFO - mean_acc 0.4830 2020-10-26 00:49:12,932 - mmaction - INFO - Epoch(val) [31][28] top1_acc: 0.4830, top5_acc: 0.8092, mean_class_accuracy: 0.4830 2020-10-26 00:50:25,097 - mmaction - INFO - Epoch [32][20/28] lr: 2.500e-03, eta: 0:29:58, time: 3.605, data_time: 2.712, memory: 21535, top1_acc: 0.9273, top5_acc: 0.9879, loss_cls: 0.2369, loss: 0.2369, grad_norm: 2.5816 2020-10-26 00:51:07,852 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:51:07,873 - mmaction - INFO - top1_acc 0.4850 top5_acc 0.8124 2020-10-26 00:51:07,873 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:51:07,875 - mmaction - INFO - mean_acc 0.4850 2020-10-26 00:51:07,876 - mmaction - INFO - Epoch(val) [32][28] top1_acc: 0.4850, top5_acc: 0.8124, mean_class_accuracy: 0.4850 2020-10-26 00:52:22,676 - mmaction - INFO - Epoch [33][20/28] lr: 2.500e-03, eta: 0:28:07, time: 3.736, data_time: 2.828, memory: 21535, top1_acc: 0.9301, top5_acc: 0.9902, loss_cls: 0.2388, loss: 0.2388, grad_norm: 2.6683 2020-10-26 00:53:08,752 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:53:08,765 - mmaction - INFO - top1_acc 0.4725 top5_acc 0.8059 2020-10-26 00:53:08,765 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:53:08,768 - mmaction - INFO - mean_acc 0.4725 2020-10-26 00:53:08,769 - mmaction - INFO - Epoch(val) [33][28] top1_acc: 0.4725, top5_acc: 0.8059, mean_class_accuracy: 0.4725 2020-10-26 00:54:19,181 - mmaction - INFO - Epoch [34][20/28] lr: 2.500e-03, eta: 0:26:16, time: 3.517, data_time: 2.543, memory: 21535, top1_acc: 0.9266, top5_acc: 0.9844, loss_cls: 0.2539, loss: 0.2539, grad_norm: 2.5949 2020-10-26 00:55:13,481 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:55:13,495 - mmaction - INFO - top1_acc 0.4765 top5_acc 0.8000 2020-10-26 00:55:13,495 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:55:13,499 - mmaction - INFO - mean_acc 0.4765 2020-10-26 00:55:13,499 - mmaction - INFO - Epoch(val) [34][28] top1_acc: 0.4765, top5_acc: 0.8000, mean_class_accuracy: 0.4765 2020-10-26 00:56:26,929 - mmaction - INFO - Epoch [35][20/28] lr: 2.500e-03, eta: 0:24:29, time: 3.668, data_time: 2.626, memory: 21535, top1_acc: 0.9402, top5_acc: 0.9879, loss_cls: 0.2294, loss: 0.2294, grad_norm: 2.5144 2020-10-26 00:56:39,306 - mmaction - INFO - Saving checkpoint at 35 epochs 2020-10-26 00:57:50,753 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 00:57:50,762 - mmaction - INFO - top1_acc 0.4791 top5_acc 0.7954 2020-10-26 00:57:50,762 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 00:57:50,766 - mmaction - INFO - mean_acc 0.4791 2020-10-26 00:57:50,766 - mmaction - INFO - Epoch(val) [35][28] top1_acc: 0.4791, top5_acc: 0.7954, mean_class_accuracy: 0.4791 2020-10-26 00:59:28,624 - mmaction - INFO - Epoch [36][20/28] lr: 2.500e-03, eta: 0:22:54, time: 4.890, data_time: 4.000, memory: 21535, top1_acc: 0.9437, top5_acc: 0.9883, loss_cls: 0.2285, loss: 0.2285, grad_norm: 2.5286 2020-10-26 01:00:14,768 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:00:14,775 - mmaction - INFO - top1_acc 0.4810 top5_acc 0.8013 2020-10-26 01:00:14,776 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:00:14,780 - mmaction - INFO - mean_acc 0.4810 2020-10-26 01:00:14,780 - mmaction - INFO - Epoch(val) [36][28] top1_acc: 0.4810, top5_acc: 0.8013, mean_class_accuracy: 0.4810 2020-10-26 01:01:33,941 - mmaction - INFO - Epoch [37][20/28] lr: 2.500e-03, eta: 0:21:11, time: 3.954, data_time: 2.877, memory: 21535, top1_acc: 0.9379, top5_acc: 0.9898, loss_cls: 0.2117, loss: 0.2117, grad_norm: 2.4526 2020-10-26 01:02:17,272 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:02:17,280 - mmaction - INFO - top1_acc 0.4804 top5_acc 0.8033 2020-10-26 01:02:17,280 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:02:17,285 - mmaction - INFO - mean_acc 0.4804 2020-10-26 01:02:17,285 - mmaction - INFO - Epoch(val) [37][28] top1_acc: 0.4804, top5_acc: 0.8033, mean_class_accuracy: 0.4804 2020-10-26 01:03:56,744 - mmaction - INFO - Epoch [38][20/28] lr: 2.500e-03, eta: 0:19:37, time: 4.968, data_time: 3.891, memory: 21535, top1_acc: 0.9406, top5_acc: 0.9879, loss_cls: 0.2214, loss: 0.2214, grad_norm: 2.5551 2020-10-26 01:04:41,985 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:04:41,994 - mmaction - INFO - top1_acc 0.4850 top5_acc 0.8000 2020-10-26 01:04:41,994 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:04:42,000 - mmaction - INFO - mean_acc 0.4850 2020-10-26 01:04:42,000 - mmaction - INFO - Epoch(val) [38][28] top1_acc: 0.4850, top5_acc: 0.8000, mean_class_accuracy: 0.4850 2020-10-26 01:06:13,244 - mmaction - INFO - Epoch [39][20/28] lr: 2.500e-03, eta: 0:17:59, time: 4.556, data_time: 3.583, memory: 21535, top1_acc: 0.9328, top5_acc: 0.9867, loss_cls: 0.2334, loss: 0.2334, grad_norm: 2.6317 2020-10-26 01:07:01,538 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:07:01,546 - mmaction - INFO - top1_acc 0.4895 top5_acc 0.8020 2020-10-26 01:07:01,546 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:07:01,549 - mmaction - INFO - mean_acc 0.4895 2020-10-26 01:07:01,549 - mmaction - INFO - Now best checkpoint is epoch_39.pth 2020-10-26 01:07:01,551 - mmaction - INFO - Epoch(val) [39][28] top1_acc: 0.4895, top5_acc: 0.8020, mean_class_accuracy: 0.4895 2020-10-26 01:08:40,986 - mmaction - INFO - Epoch [40][20/28] lr: 2.500e-03, eta: 0:16:25, time: 4.967, data_time: 3.585, memory: 21535, top1_acc: 0.9402, top5_acc: 0.9898, loss_cls: 0.2134, loss: 0.2134, grad_norm: 2.5990 2020-10-26 01:08:53,944 - mmaction - INFO - Saving checkpoint at 40 epochs 2020-10-26 01:09:42,163 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:09:42,170 - mmaction - INFO - top1_acc 0.4797 top5_acc 0.8013 2020-10-26 01:09:42,170 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:09:42,173 - mmaction - INFO - mean_acc 0.4797 2020-10-26 01:09:42,173 - mmaction - INFO - Epoch(val) [40][28] top1_acc: 0.4797, top5_acc: 0.8013, mean_class_accuracy: 0.4797 2020-10-26 01:10:28,761 - mmaction - INFO - Epoch [41][20/28] lr: 2.500e-04, eta: 0:14:38, time: 2.325, data_time: 1.366, memory: 21535, top1_acc: 0.9465, top5_acc: 0.9926, loss_cls: 0.1869, loss: 0.1869, grad_norm: 2.4391 2020-10-26 01:11:32,702 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:11:32,716 - mmaction - INFO - top1_acc 0.4778 top5_acc 0.8007 2020-10-26 01:11:32,716 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:11:32,721 - mmaction - INFO - mean_acc 0.4778 2020-10-26 01:11:32,721 - mmaction - INFO - Epoch(val) [41][28] top1_acc: 0.4778, top5_acc: 0.8007, mean_class_accuracy: 0.4778 2020-10-26 01:13:24,917 - mmaction - INFO - Epoch [42][20/28] lr: 2.500e-04, eta: 0:13:07, time: 5.605, data_time: 4.706, memory: 21535, top1_acc: 0.9320, top5_acc: 0.9887, loss_cls: 0.2309, loss: 0.2309, grad_norm: 2.7016 2020-10-26 01:14:51,659 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:14:51,688 - mmaction - INFO - top1_acc 0.4778 top5_acc 0.8007 2020-10-26 01:14:51,688 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:14:51,691 - mmaction - INFO - mean_acc 0.4778 2020-10-26 01:14:51,692 - mmaction - INFO - Epoch(val) [42][28] top1_acc: 0.4778, top5_acc: 0.8007, mean_class_accuracy: 0.4778 2020-10-26 01:16:13,364 - mmaction - INFO - Epoch [43][20/28] lr: 2.500e-04, eta: 0:11:29, time: 4.079, data_time: 2.777, memory: 21535, top1_acc: 0.9410, top5_acc: 0.9883, loss_cls: 0.2157, loss: 0.2157, grad_norm: 2.5642 2020-10-26 01:18:12,425 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:18:12,442 - mmaction - INFO - top1_acc 0.4752 top5_acc 0.8072 2020-10-26 01:18:12,443 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:18:12,445 - mmaction - INFO - mean_acc 0.4752 2020-10-26 01:18:12,446 - mmaction - INFO - Epoch(val) [43][28] top1_acc: 0.4752, top5_acc: 0.8072, mean_class_accuracy: 0.4752 2020-10-26 01:19:11,814 - mmaction - INFO - Epoch [44][20/28] lr: 2.500e-04, eta: 0:09:50, time: 2.963, data_time: 2.028, memory: 21535, top1_acc: 0.9469, top5_acc: 0.9934, loss_cls: 0.1941, loss: 0.1941, grad_norm: 2.5092 2020-10-26 01:20:11,603 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:20:11,611 - mmaction - INFO - top1_acc 0.4732 top5_acc 0.8013 2020-10-26 01:20:11,611 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:20:11,613 - mmaction - INFO - mean_acc 0.4732 2020-10-26 01:20:11,614 - mmaction - INFO - Epoch(val) [44][28] top1_acc: 0.4732, top5_acc: 0.8013, mean_class_accuracy: 0.4732 2020-10-26 01:21:25,789 - mmaction - INFO - Epoch [45][20/28] lr: 2.500e-04, eta: 0:08:13, time: 3.704, data_time: 2.679, memory: 21535, top1_acc: 0.9328, top5_acc: 0.9887, loss_cls: 0.2300, loss: 0.2300, grad_norm: 2.6104 2020-10-26 01:21:41,106 - mmaction - INFO - Saving checkpoint at 45 epochs 2020-10-26 01:22:24,582 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:22:24,590 - mmaction - INFO - top1_acc 0.4758 top5_acc 0.7980 2020-10-26 01:22:24,590 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:22:24,596 - mmaction - INFO - mean_acc 0.4758 2020-10-26 01:22:24,596 - mmaction - INFO - Epoch(val) [45][28] top1_acc: 0.4758, top5_acc: 0.7980, mean_class_accuracy: 0.4758 2020-10-26 01:23:43,934 - mmaction - INFO - Epoch [46][20/28] lr: 2.500e-04, eta: 0:06:39, time: 3.961, data_time: 3.044, memory: 21535, top1_acc: 0.9523, top5_acc: 0.9891, loss_cls: 0.2042, loss: 0.2042, grad_norm: 2.4249 2020-10-26 01:25:26,350 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:25:26,370 - mmaction - INFO - top1_acc 0.4863 top5_acc 0.8000 2020-10-26 01:25:26,370 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:25:26,372 - mmaction - INFO - mean_acc 0.4863 2020-10-26 01:25:26,373 - mmaction - INFO - Epoch(val) [46][28] top1_acc: 0.4863, top5_acc: 0.8000, mean_class_accuracy: 0.4863 2020-10-26 01:26:51,837 - mmaction - INFO - Epoch [47][20/28] lr: 2.500e-04, eta: 0:05:05, time: 4.271, data_time: 3.264, memory: 21535, top1_acc: 0.9496, top5_acc: 0.9910, loss_cls: 0.1932, loss: 0.1932, grad_norm: 2.4136 2020-10-26 01:27:51,699 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:27:51,707 - mmaction - INFO - top1_acc 0.4863 top5_acc 0.8020 2020-10-26 01:27:51,707 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:27:51,711 - mmaction - INFO - mean_acc 0.4863 2020-10-26 01:27:51,711 - mmaction - INFO - Epoch(val) [47][28] top1_acc: 0.4863, top5_acc: 0.8020, mean_class_accuracy: 0.4863 2020-10-26 01:28:48,389 - mmaction - INFO - Epoch [48][20/28] lr: 2.500e-04, eta: 0:03:30, time: 2.828, data_time: 1.926, memory: 21535, top1_acc: 0.9480, top5_acc: 0.9930, loss_cls: 0.1814, loss: 0.1814, grad_norm: 2.3322 2020-10-26 01:29:51,467 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:29:51,475 - mmaction - INFO - top1_acc 0.4863 top5_acc 0.7948 2020-10-26 01:29:51,475 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:29:51,478 - mmaction - INFO - mean_acc 0.4863 2020-10-26 01:29:51,478 - mmaction - INFO - Epoch(val) [48][28] top1_acc: 0.4863, top5_acc: 0.7948, mean_class_accuracy: 0.4863 2020-10-26 01:30:54,072 - mmaction - INFO - Epoch [49][20/28] lr: 2.500e-04, eta: 0:01:57, time: 3.127, data_time: 1.780, memory: 21535, top1_acc: 0.9516, top5_acc: 0.9883, loss_cls: 0.1930, loss: 0.1930, grad_norm: 2.3626 2020-10-26 01:33:01,790 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:33:01,819 - mmaction - INFO - top1_acc 0.4758 top5_acc 0.8007 2020-10-26 01:33:01,819 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:33:01,821 - mmaction - INFO - mean_acc 0.4758 2020-10-26 01:33:01,822 - mmaction - INFO - Epoch(val) [49][28] top1_acc: 0.4758, top5_acc: 0.8007, mean_class_accuracy: 0.4758 2020-10-26 01:34:00,589 - mmaction - INFO - Epoch [50][20/28] lr: 2.500e-04, eta: 0:00:25, time: 2.935, data_time: 1.905, memory: 21535, top1_acc: 0.9441, top5_acc: 0.9906, loss_cls: 0.1981, loss: 0.1981, grad_norm: 2.4541 2020-10-26 01:34:14,674 - mmaction - INFO - Saving checkpoint at 50 epochs 2020-10-26 01:35:00,398 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-26 01:35:00,407 - mmaction - INFO - top1_acc 0.4830 top5_acc 0.7967 2020-10-26 01:35:00,407 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-26 01:35:00,410 - mmaction - INFO - mean_acc 0.4830 2020-10-26 01:35:00,411 - mmaction - INFO - Epoch(val) [50][28] top1_acc: 0.4830, top5_acc: 0.7967, mean_class_accuracy: 0.4830