2020-10-22 18:04:58,276 - mmaction - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.6.9 |Anaconda, Inc.| (default, Jul 30 2019, 19:07:31) [GCC 7.3.0] CUDA available: True GPU 0,1,2,3,4,5: GeForce GTX 1080 Ti CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 9.0, V9.0.176 GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-4) PyTorch: 1.1.0 PyTorch compiling details: PyTorch built with: - GCC 5.4 - Intel(R) Math Kernel Library Version 2019.0.4 Product Build 20190411 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v0.18.1 (Git Hash 7de7e5d02bf687f971e7668963649728356e0c20) - OpenMP 201307 (a.k.a. OpenMP 4.0) - NNPACK is enabled - CUDA Runtime 9.0 - NVCC architecture flags: -gencode;arch=compute_30,code=sm_30;-gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-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_52,code=compute_52 - CuDNN 7.6 - Built with CuDNN 7.3.1 - Magma 2.5.0 - Build settings: BLAS=MKL, BUILD_TYPE=Release, CXX_FLAGS=-march=nocona -mtune=haswell -ftree-vectorize -fPIC -fstack-protector-strong -O2 -pipe -I/opt/conda/conda-bld/pytorch_1565134926719/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_place/include -fdebug-prefix-map=${SRC_DIR}=/usr/local/src/conda/${PKG_NAME}-${PKG_VERSION} -fdebug-prefix-map=${PREFIX}=/usr/local/src/conda-prefix -D_FORTIFY_SOURCE=2 -O2 -Wno-deprecated -fvisibility-inlines-hidden -fopenmp -DUSE_FBGEMM -O2 -fPIC -Wno-narrowing -Wall -Wextra -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 -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math, DISABLE_NUMA=1, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, USE_CUDA=True, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=True, USE_NNPACK=True, USE_OPENMP=ON, TorchVision: 0.3.0 OpenCV: 4.2.0 MMCV: 1.1.3 MMCV Compiler: n/a MMCV CUDA Compiler: n/a MMAction2: 0.6.0+1e77b0b ------------------------------------------------------------ 2020-10-22 18:04:58,277 - mmaction - INFO - Distributed training: True 2020-10-22 18:04:58,277 - mmaction - INFO - Config: /mnt/cache/duanhaodong/mmaction2/configs/ucf101/lr_1.py # model settings model = dict( type='Recognizer2D', backbone=dict( type='ResNet', pretrained='modelzoo/resnet50-19c8e357.pth', depth=50, norm_eval=False), cls_head=dict( type='TSNHead', num_classes=101, in_channels=2048, spatial_type='avg', consensus=dict(type='AvgConsensus', dim=1), dropout_ratio=0.4, init_std=0.001)) # model training and testing settings train_cfg = None test_cfg = dict(average_clips=None) # dataset settings dataset_type = 'RawframeDataset' data_root = '/mnt/lustre/DATAshare/duanhaodong/videoreg/ucf101_320_frames/' data_root_val = '/mnt/lustre/DATAshare/duanhaodong/videoreg/ucf101_320_frames/' ann_file_train = 'data/ucf101/train_split1.txt' ann_file_val = 'data/ucf101/val_split1.txt' ann_file_test = 'data/ucf101/val_split1.txt' img_norm_cfg = dict(mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_bgr=False) mc_cfg = dict( server_list_cfg='/mnt/lustre/share/memcached_client/server_list.conf', client_cfg='/mnt/lustre/share/memcached_client/client.conf', sys_path='/mnt/lustre/share/pymc/py3') train_pipeline = [ dict(type='SampleFrames', clip_len=1, frame_interval=1, num_clips=3), dict(type='RawFrameDecode', io_backend='memcached', **mc_cfg), 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=3, test_mode=True), dict(type='RawFrameDecode', io_backend='memcached', **mc_cfg), 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', io_backend='memcached', **mc_cfg), 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, 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=0.00096, momentum=0.9, weight_decay=0.0005) optimizer_config = dict(grad_clip=dict(max_norm=40, norm_type=2)) # learning policy lr_config = dict(policy='step', step=[]) total_epochs = 75 checkpoint_config = dict(interval=5) evaluation = dict( interval=5, metrics=['top_k_accuracy', 'mean_class_accuracy'], topk=(1, 5)) log_config = dict( interval=20, hooks=[ dict(type='TextLoggerHook'), ]) # runtime settings dist_params = dict(backend='nccl') log_level = 'INFO' work_dir = './work_dirs/ucf101/lr_1' load_from = None resume_from = None workflow = [('train', 5)] 2020-10-22 18:04:59,425 - mmaction - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2020-10-22 18:05:05,367 - mmaction - INFO - Start running, host: duanhaodong@SH-IDC1-10-5-40-64, work_dir: /mnt/cache/duanhaodong/mmaction2/work_dirs/ucf101/lr_1 2020-10-22 18:05:05,367 - mmaction - INFO - workflow: [('train', 5)], max: 75 epochs 2020-10-22 18:06:32,069 - mmaction - INFO - Epoch [1][20/50] lr: 9.600e-04, eta: 5:23:33, time: 4.333, data_time: 2.783, memory: 8333, top1_acc: 0.0273, top5_acc: 0.0729, loss_cls: 4.5990, loss: 4.5990, grad_norm: 2.3475 2020-10-22 18:07:33,952 - mmaction - INFO - Epoch [1][40/50] lr: 9.600e-04, eta: 4:36:04, time: 3.095, data_time: 1.378, memory: 8333, top1_acc: 0.0680, top5_acc: 0.1594, loss_cls: 4.5475, loss: 4.5475, grad_norm: 2.3798 2020-10-22 18:09:29,938 - mmaction - INFO - Epoch [2][20/50] lr: 9.600e-04, eta: 4:10:52, time: 4.464, data_time: 3.414, memory: 8333, top1_acc: 0.1620, top5_acc: 0.3240, loss_cls: 4.4271, loss: 4.4271, grad_norm: 2.3779 2020-10-22 18:10:29,205 - mmaction - INFO - Epoch [2][40/50] lr: 9.600e-04, eta: 4:02:39, time: 2.964, data_time: 1.611, memory: 8333, top1_acc: 0.2188, top5_acc: 0.3969, loss_cls: 4.3423, loss: 4.3423, grad_norm: 2.4626 2020-10-22 18:12:21,855 - mmaction - INFO - Epoch [3][20/50] lr: 9.600e-04, eta: 3:53:19, time: 4.321, data_time: 2.025, memory: 8333, top1_acc: 0.2727, top5_acc: 0.5016, loss_cls: 4.1804, loss: 4.1804, grad_norm: 2.4893 2020-10-22 18:13:18,017 - mmaction - INFO - Epoch [3][40/50] lr: 9.600e-04, eta: 3:48:14, time: 2.809, data_time: 0.055, memory: 8333, top1_acc: 0.2862, top5_acc: 0.5289, loss_cls: 4.0580, loss: 4.0580, grad_norm: 2.5367 2020-10-22 18:15:02,858 - mmaction - INFO - Epoch [4][20/50] lr: 9.600e-04, eta: 3:41:32, time: 4.109, data_time: 3.463, memory: 8333, top1_acc: 0.3487, top5_acc: 0.6021, loss_cls: 3.8410, loss: 3.8410, grad_norm: 2.6165 2020-10-22 18:15:55,022 - mmaction - INFO - Epoch [4][40/50] lr: 9.600e-04, eta: 3:37:01, time: 2.607, data_time: 2.033, memory: 8333, top1_acc: 0.3589, top5_acc: 0.6242, loss_cls: 3.6965, loss: 3.6965, grad_norm: 2.6638 2020-10-22 18:17:39,278 - mmaction - INFO - Epoch [5][20/50] lr: 9.600e-04, eta: 3:32:34, time: 4.077, data_time: 3.211, memory: 8333, top1_acc: 0.3703, top5_acc: 0.6609, loss_cls: 3.4825, loss: 3.4825, grad_norm: 2.6845 2020-10-22 18:18:30,229 - mmaction - INFO - Epoch [5][40/50] lr: 9.600e-04, eta: 3:29:00, time: 2.547, data_time: 1.666, memory: 8333, top1_acc: 0.3818, top5_acc: 0.6810, loss_cls: 3.3379, loss: 3.3379, grad_norm: 2.6853 2020-10-22 18:18:50,381 - mmaction - INFO - Saving checkpoint at 5 epochs 2020-10-22 18:19:37,954 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 18:19:37,986 - mmaction - INFO - top1_acc 0.4557 top5_acc 0.7312 2020-10-22 18:19:37,987 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 18:19:37,994 - mmaction - INFO - mean_acc 0.4236 2020-10-22 18:19:37,995 - mmaction - INFO - Now best checkpoint is epoch_5.pth 2020-10-22 18:19:38,011 - mmaction - INFO - Epoch(val) [5][50] top1_acc: 0.4557, top5_acc: 0.7312, mean_class_accuracy: 0.4236 2020-10-22 18:20:56,721 - mmaction - INFO - Epoch [6][20/50] lr: 9.600e-04, eta: 3:25:01, time: 3.934, data_time: 2.804, memory: 8333, top1_acc: 0.4221, top5_acc: 0.7138, loss_cls: 3.1329, loss: 3.1329, grad_norm: 2.7454 2020-10-22 18:21:45,276 - mmaction - INFO - Epoch [6][40/50] lr: 9.600e-04, eta: 3:21:43, time: 2.428, data_time: 0.628, memory: 8333, top1_acc: 0.4440, top5_acc: 0.7227, loss_cls: 3.0172, loss: 3.0172, grad_norm: 2.7804 2020-10-22 18:23:24,842 - mmaction - INFO - Epoch [7][20/50] lr: 9.600e-04, eta: 3:19:00, time: 4.019, data_time: 3.319, memory: 8333, top1_acc: 0.4721, top5_acc: 0.7500, loss_cls: 2.8536, loss: 2.8536, grad_norm: 2.7764 2020-10-22 18:24:09,665 - mmaction - INFO - Epoch [7][40/50] lr: 9.600e-04, eta: 3:15:32, time: 2.240, data_time: 0.515, memory: 8333, top1_acc: 0.4992, top5_acc: 0.7685, loss_cls: 2.7365, loss: 2.7365, grad_norm: 2.8025 2020-10-22 18:25:42,563 - mmaction - INFO - Epoch [8][20/50] lr: 9.600e-04, eta: 3:12:25, time: 3.769, data_time: 3.044, memory: 8333, top1_acc: 0.5156, top5_acc: 0.7927, loss_cls: 2.5925, loss: 2.5925, grad_norm: 2.8200 2020-10-22 18:26:28,287 - mmaction - INFO - Epoch [8][40/50] lr: 9.600e-04, eta: 3:09:41, time: 2.286, data_time: 1.140, memory: 8333, top1_acc: 0.5159, top5_acc: 0.7844, loss_cls: 2.5264, loss: 2.5264, grad_norm: 2.8373 2020-10-22 18:27:57,712 - mmaction - INFO - Epoch [9][20/50] lr: 9.600e-04, eta: 3:06:53, time: 3.716, data_time: 1.645, memory: 8333, top1_acc: 0.5453, top5_acc: 0.8201, loss_cls: 2.3849, loss: 2.3849, grad_norm: 2.8343 2020-10-22 18:28:38,656 - mmaction - INFO - Epoch [9][40/50] lr: 9.600e-04, eta: 3:03:49, time: 2.047, data_time: 0.483, memory: 8333, top1_acc: 0.5625, top5_acc: 0.8185, loss_cls: 2.2975, loss: 2.2975, grad_norm: 2.7992 2020-10-22 18:30:10,606 - mmaction - INFO - Epoch [10][20/50] lr: 9.600e-04, eta: 3:01:16, time: 3.660, data_time: 2.452, memory: 8333, top1_acc: 0.5922, top5_acc: 0.8422, loss_cls: 2.1821, loss: 2.1821, grad_norm: 2.7960 2020-10-22 18:30:51,207 - mmaction - INFO - Epoch [10][40/50] lr: 9.600e-04, eta: 2:58:33, time: 2.030, data_time: 0.411, memory: 8333, top1_acc: 0.5807, top5_acc: 0.8328, loss_cls: 2.1687, loss: 2.1687, grad_norm: 2.8356 2020-10-22 18:31:07,357 - mmaction - INFO - Saving checkpoint at 10 epochs 2020-10-22 18:31:36,097 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 18:31:36,133 - mmaction - INFO - top1_acc 0.6466 top5_acc 0.8787 2020-10-22 18:31:36,133 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 18:31:36,140 - mmaction - INFO - mean_acc 0.6281 2020-10-22 18:31:36,140 - mmaction - INFO - Now best checkpoint is epoch_10.pth 2020-10-22 18:31:36,153 - mmaction - INFO - Epoch(val) [10][50] top1_acc: 0.6466, top5_acc: 0.8787, mean_class_accuracy: 0.6281 2020-10-22 18:32:48,025 - mmaction - INFO - Epoch [11][20/50] lr: 9.600e-04, eta: 2:56:09, time: 3.593, data_time: 1.881, memory: 8333, top1_acc: 0.5964, top5_acc: 0.8456, loss_cls: 2.0607, loss: 2.0607, grad_norm: 2.8383 2020-10-22 18:33:25,123 - mmaction - INFO - Epoch [11][40/50] lr: 9.600e-04, eta: 2:53:18, time: 1.854, data_time: 0.013, memory: 8333, top1_acc: 0.5984, top5_acc: 0.8536, loss_cls: 2.0207, loss: 2.0207, grad_norm: 2.8759 2020-10-22 18:34:50,104 - mmaction - INFO - Epoch [12][20/50] lr: 9.600e-04, eta: 2:51:00, time: 3.509, data_time: 1.262, memory: 8333, top1_acc: 0.6393, top5_acc: 0.8594, loss_cls: 1.9058, loss: 1.9058, grad_norm: 2.8503 2020-10-22 18:35:25,393 - mmaction - INFO - Epoch [12][40/50] lr: 9.600e-04, eta: 2:48:16, time: 1.764, data_time: 0.014, memory: 8333, top1_acc: 0.6221, top5_acc: 0.8615, loss_cls: 1.8891, loss: 1.8891, grad_norm: 2.8853 2020-10-22 18:36:47,919 - mmaction - INFO - Epoch [13][20/50] lr: 9.600e-04, eta: 2:45:58, time: 3.389, data_time: 2.470, memory: 8333, top1_acc: 0.6365, top5_acc: 0.8706, loss_cls: 1.7970, loss: 1.7970, grad_norm: 2.8573 2020-10-22 18:37:23,312 - mmaction - INFO - Epoch [13][40/50] lr: 9.600e-04, eta: 2:43:30, time: 1.770, data_time: 0.926, memory: 8333, top1_acc: 0.6435, top5_acc: 0.8721, loss_cls: 1.7510, loss: 1.7510, grad_norm: 2.8621 2020-10-22 18:38:45,371 - mmaction - INFO - Epoch [14][20/50] lr: 9.600e-04, eta: 2:41:29, time: 3.418, data_time: 2.551, memory: 8333, top1_acc: 0.6766, top5_acc: 0.8901, loss_cls: 1.6521, loss: 1.6521, grad_norm: 2.8561 2020-10-22 18:39:19,562 - mmaction - INFO - Epoch [14][40/50] lr: 9.600e-04, eta: 2:39:08, time: 1.710, data_time: 1.092, memory: 8333, top1_acc: 0.6594, top5_acc: 0.8930, loss_cls: 1.6617, loss: 1.6617, grad_norm: 2.9040 2020-10-22 18:40:39,325 - mmaction - INFO - Epoch [15][20/50] lr: 9.600e-04, eta: 2:37:08, time: 3.332, data_time: 2.179, memory: 8333, top1_acc: 0.6802, top5_acc: 0.8977, loss_cls: 1.5879, loss: 1.5879, grad_norm: 2.8601 2020-10-22 18:41:12,411 - mmaction - INFO - Epoch [15][40/50] lr: 9.600e-04, eta: 2:34:52, time: 1.654, data_time: 0.110, memory: 8333, top1_acc: 0.6841, top5_acc: 0.8935, loss_cls: 1.5614, loss: 1.5614, grad_norm: 2.8784 2020-10-22 18:41:23,654 - mmaction - INFO - Saving checkpoint at 15 epochs 2020-10-22 18:41:52,600 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 18:41:52,633 - mmaction - INFO - top1_acc 0.7095 top5_acc 0.9183 2020-10-22 18:41:52,633 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 18:41:52,640 - mmaction - INFO - mean_acc 0.6974 2020-10-22 18:41:52,640 - mmaction - INFO - Now best checkpoint is epoch_15.pth 2020-10-22 18:41:52,652 - mmaction - INFO - Epoch(val) [15][50] top1_acc: 0.7095, top5_acc: 0.9183, mean_class_accuracy: 0.6974 2020-10-22 18:42:54,654 - mmaction - INFO - Epoch [16][20/50] lr: 9.600e-04, eta: 2:32:39, time: 3.099, data_time: 1.790, memory: 8333, top1_acc: 0.6956, top5_acc: 0.9034, loss_cls: 1.4943, loss: 1.4943, grad_norm: 2.8784 2020-10-22 18:43:26,589 - mmaction - INFO - Epoch [16][40/50] lr: 9.600e-04, eta: 2:30:30, time: 1.596, data_time: 0.017, memory: 8333, top1_acc: 0.6935, top5_acc: 0.9052, loss_cls: 1.4593, loss: 1.4593, grad_norm: 2.8756 2020-10-22 18:44:39,041 - mmaction - INFO - Epoch [17][20/50] lr: 9.600e-04, eta: 2:28:24, time: 3.065, data_time: 1.398, memory: 8333, top1_acc: 0.7182, top5_acc: 0.9063, loss_cls: 1.4137, loss: 1.4137, grad_norm: 2.8956 2020-10-22 18:45:10,935 - mmaction - INFO - Epoch [17][40/50] lr: 9.600e-04, eta: 2:26:24, time: 1.595, data_time: 0.012, memory: 8333, top1_acc: 0.7125, top5_acc: 0.9159, loss_cls: 1.3819, loss: 1.3819, grad_norm: 2.8569 2020-10-22 18:46:21,508 - mmaction - INFO - Epoch [18][20/50] lr: 9.600e-04, eta: 2:24:21, time: 2.988, data_time: 1.922, memory: 8333, top1_acc: 0.7169, top5_acc: 0.9128, loss_cls: 1.3573, loss: 1.3573, grad_norm: 2.9075 2020-10-22 18:46:50,631 - mmaction - INFO - Epoch [18][40/50] lr: 9.600e-04, eta: 2:22:17, time: 1.456, data_time: 0.103, memory: 8333, top1_acc: 0.7167, top5_acc: 0.9091, loss_cls: 1.3516, loss: 1.3516, grad_norm: 2.9749 2020-10-22 18:48:04,257 - mmaction - INFO - Epoch [19][20/50] lr: 9.600e-04, eta: 2:20:31, time: 3.095, data_time: 2.133, memory: 8333, top1_acc: 0.7388, top5_acc: 0.9141, loss_cls: 1.2817, loss: 1.2817, grad_norm: 2.8800 2020-10-22 18:48:31,552 - mmaction - INFO - Epoch [19][40/50] lr: 9.600e-04, eta: 2:18:29, time: 1.364, data_time: 0.232, memory: 8333, top1_acc: 0.7313, top5_acc: 0.9206, loss_cls: 1.2858, loss: 1.2858, grad_norm: 2.9314 2020-10-22 18:49:41,469 - mmaction - INFO - Epoch [20][20/50] lr: 9.600e-04, eta: 2:16:36, time: 2.905, data_time: 1.643, memory: 8333, top1_acc: 0.7372, top5_acc: 0.9263, loss_cls: 1.2320, loss: 1.2320, grad_norm: 2.9114 2020-10-22 18:50:10,360 - mmaction - INFO - Epoch [20][40/50] lr: 9.600e-04, eta: 2:14:47, time: 1.444, data_time: 0.054, memory: 8333, top1_acc: 0.7464, top5_acc: 0.9229, loss_cls: 1.2164, loss: 1.2164, grad_norm: 2.8793 2020-10-22 18:50:19,637 - mmaction - INFO - Saving checkpoint at 20 epochs 2020-10-22 18:50:48,472 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 18:50:48,507 - mmaction - INFO - top1_acc 0.7534 top5_acc 0.9426 2020-10-22 18:50:48,507 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 18:50:48,514 - mmaction - INFO - mean_acc 0.7458 2020-10-22 18:50:48,514 - mmaction - INFO - Now best checkpoint is epoch_20.pth 2020-10-22 18:50:48,527 - mmaction - INFO - Epoch(val) [20][50] top1_acc: 0.7534, top5_acc: 0.9426, mean_class_accuracy: 0.7458 2020-10-22 18:51:44,855 - mmaction - INFO - Epoch [21][20/50] lr: 9.600e-04, eta: 2:12:54, time: 2.816, data_time: 2.101, memory: 8333, top1_acc: 0.7570, top5_acc: 0.9297, loss_cls: 1.1805, loss: 1.1805, grad_norm: 2.8724 2020-10-22 18:52:09,792 - mmaction - INFO - Epoch [21][40/50] lr: 9.600e-04, eta: 2:10:59, time: 1.247, data_time: 0.117, memory: 8333, top1_acc: 0.7497, top5_acc: 0.9357, loss_cls: 1.1491, loss: 1.1491, grad_norm: 2.8513 2020-10-22 18:53:14,801 - mmaction - INFO - Epoch [22][20/50] lr: 9.600e-04, eta: 2:09:10, time: 2.771, data_time: 1.875, memory: 8333, top1_acc: 0.7583, top5_acc: 0.9352, loss_cls: 1.1247, loss: 1.1247, grad_norm: 2.9780 2020-10-22 18:53:39,891 - mmaction - INFO - Epoch [22][40/50] lr: 9.600e-04, eta: 2:07:22, time: 1.255, data_time: 0.458, memory: 8333, top1_acc: 0.7672, top5_acc: 0.9396, loss_cls: 1.0961, loss: 1.0961, grad_norm: 2.8957 2020-10-22 18:54:44,624 - mmaction - INFO - Epoch [23][20/50] lr: 9.600e-04, eta: 2:05:42, time: 2.829, data_time: 1.615, memory: 8333, top1_acc: 0.7745, top5_acc: 0.9440, loss_cls: 1.0632, loss: 1.0632, grad_norm: 2.9027 2020-10-22 18:55:06,496 - mmaction - INFO - Epoch [23][40/50] lr: 9.600e-04, eta: 2:03:51, time: 1.093, data_time: 0.013, memory: 8333, top1_acc: 0.7773, top5_acc: 0.9401, loss_cls: 1.0546, loss: 1.0546, grad_norm: 2.9355 2020-10-22 18:56:11,260 - mmaction - INFO - Epoch [24][20/50] lr: 9.600e-04, eta: 2:02:14, time: 2.787, data_time: 1.776, memory: 8333, top1_acc: 0.7805, top5_acc: 0.9419, loss_cls: 1.0490, loss: 1.0490, grad_norm: 2.9065 2020-10-22 18:56:32,319 - mmaction - INFO - Epoch [24][40/50] lr: 9.600e-04, eta: 2:00:26, time: 1.053, data_time: 0.025, memory: 8333, top1_acc: 0.7742, top5_acc: 0.9383, loss_cls: 1.0486, loss: 1.0486, grad_norm: 2.9912 2020-10-22 18:57:32,412 - mmaction - INFO - Epoch [25][20/50] lr: 9.600e-04, eta: 1:58:39, time: 2.511, data_time: 1.941, memory: 8333, top1_acc: 0.7852, top5_acc: 0.9474, loss_cls: 1.0021, loss: 1.0021, grad_norm: 2.9084 2020-10-22 18:57:57,944 - mmaction - INFO - Epoch [25][40/50] lr: 9.600e-04, eta: 1:57:09, time: 1.276, data_time: 0.134, memory: 8333, top1_acc: 0.7883, top5_acc: 0.9406, loss_cls: 0.9944, loss: 0.9944, grad_norm: 2.9663 2020-10-22 18:58:04,626 - mmaction - INFO - Saving checkpoint at 25 epochs 2020-10-22 18:58:34,145 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 18:58:34,179 - mmaction - INFO - top1_acc 0.7761 top5_acc 0.9548 2020-10-22 18:58:34,179 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 18:58:34,186 - mmaction - INFO - mean_acc 0.7713 2020-10-22 18:58:34,186 - mmaction - INFO - Now best checkpoint is epoch_25.pth 2020-10-22 18:58:34,199 - mmaction - INFO - Epoch(val) [25][50] top1_acc: 0.7761, top5_acc: 0.9548, mean_class_accuracy: 0.7713 2020-10-22 18:59:24,561 - mmaction - INFO - Epoch [26][20/50] lr: 9.600e-04, eta: 1:55:28, time: 2.517, data_time: 1.577, memory: 8333, top1_acc: 0.7852, top5_acc: 0.9497, loss_cls: 0.9742, loss: 0.9742, grad_norm: 2.9658 2020-10-22 18:59:45,516 - mmaction - INFO - Epoch [26][40/50] lr: 9.600e-04, eta: 1:53:50, time: 1.048, data_time: 0.057, memory: 8333, top1_acc: 0.7961, top5_acc: 0.9484, loss_cls: 0.9532, loss: 0.9532, grad_norm: 2.9638 2020-10-22 19:00:48,069 - mmaction - INFO - Epoch [27][20/50] lr: 9.600e-04, eta: 1:52:22, time: 2.676, data_time: 1.324, memory: 8333, top1_acc: 0.8013, top5_acc: 0.9547, loss_cls: 0.9278, loss: 0.9278, grad_norm: 2.9272 2020-10-22 19:01:06,640 - mmaction - INFO - Epoch [27][40/50] lr: 9.600e-04, eta: 1:50:43, time: 0.928, data_time: 0.009, memory: 8333, top1_acc: 0.7919, top5_acc: 0.9518, loss_cls: 0.9354, loss: 0.9354, grad_norm: 3.0047 2020-10-22 19:02:05,769 - mmaction - INFO - Epoch [28][20/50] lr: 9.600e-04, eta: 1:49:12, time: 2.542, data_time: 1.209, memory: 8333, top1_acc: 0.7997, top5_acc: 0.9542, loss_cls: 0.9003, loss: 0.9003, grad_norm: 2.9617 2020-10-22 19:02:25,872 - mmaction - INFO - Epoch [28][40/50] lr: 9.600e-04, eta: 1:47:41, time: 1.005, data_time: 0.017, memory: 8333, top1_acc: 0.8076, top5_acc: 0.9536, loss_cls: 0.8819, loss: 0.8819, grad_norm: 2.9735 2020-10-22 19:03:25,013 - mmaction - INFO - Epoch [29][20/50] lr: 9.600e-04, eta: 1:46:14, time: 2.530, data_time: 1.731, memory: 8333, top1_acc: 0.8180, top5_acc: 0.9477, loss_cls: 0.8700, loss: 0.8700, grad_norm: 3.0114 2020-10-22 19:03:42,295 - mmaction - INFO - Epoch [29][40/50] lr: 9.600e-04, eta: 1:44:41, time: 0.864, data_time: 0.129, memory: 8333, top1_acc: 0.8169, top5_acc: 0.9563, loss_cls: 0.8477, loss: 0.8477, grad_norm: 2.9751 2020-10-22 19:04:41,420 - mmaction - INFO - Epoch [30][20/50] lr: 9.600e-04, eta: 1:43:16, time: 2.508, data_time: 1.739, memory: 8333, top1_acc: 0.8263, top5_acc: 0.9568, loss_cls: 0.8324, loss: 0.8324, grad_norm: 2.9747 2020-10-22 19:05:00,025 - mmaction - INFO - Epoch [30][40/50] lr: 9.600e-04, eta: 1:41:50, time: 0.930, data_time: 0.091, memory: 8333, top1_acc: 0.8276, top5_acc: 0.9591, loss_cls: 0.8127, loss: 0.8127, grad_norm: 2.9268 2020-10-22 19:05:06,759 - mmaction - INFO - Saving checkpoint at 30 epochs 2020-10-22 19:05:36,827 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:05:36,860 - mmaction - INFO - top1_acc 0.7769 top5_acc 0.9548 2020-10-22 19:05:36,861 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:05:36,867 - mmaction - INFO - mean_acc 0.7718 2020-10-22 19:05:36,867 - mmaction - INFO - Now best checkpoint is epoch_30.pth 2020-10-22 19:05:36,879 - mmaction - INFO - Epoch(val) [30][50] top1_acc: 0.7769, top5_acc: 0.9548, mean_class_accuracy: 0.7718 2020-10-22 19:06:24,915 - mmaction - INFO - Epoch [31][20/50] lr: 9.600e-04, eta: 1:40:24, time: 2.401, data_time: 1.831, memory: 8333, top1_acc: 0.8234, top5_acc: 0.9602, loss_cls: 0.8023, loss: 0.8023, grad_norm: 2.9719 2020-10-22 19:06:42,071 - mmaction - INFO - Epoch [31][40/50] lr: 9.600e-04, eta: 1:38:59, time: 0.858, data_time: 0.231, memory: 8333, top1_acc: 0.8167, top5_acc: 0.9586, loss_cls: 0.8063, loss: 0.8063, grad_norm: 3.0269 2020-10-22 19:07:36,221 - mmaction - INFO - Epoch [32][20/50] lr: 9.600e-04, eta: 1:37:34, time: 2.340, data_time: 1.285, memory: 8333, top1_acc: 0.8346, top5_acc: 0.9607, loss_cls: 0.7798, loss: 0.7798, grad_norm: 2.9536 2020-10-22 19:07:52,831 - mmaction - INFO - Epoch [32][40/50] lr: 9.600e-04, eta: 1:36:11, time: 0.830, data_time: 0.016, memory: 8333, top1_acc: 0.8341, top5_acc: 0.9617, loss_cls: 0.7646, loss: 0.7646, grad_norm: 2.9969 2020-10-22 19:08:43,871 - mmaction - INFO - Epoch [33][20/50] lr: 9.600e-04, eta: 1:34:44, time: 2.201, data_time: 1.475, memory: 8333, top1_acc: 0.8383, top5_acc: 0.9596, loss_cls: 0.7613, loss: 0.7613, grad_norm: 2.9927 2020-10-22 19:08:59,356 - mmaction - INFO - Epoch [33][40/50] lr: 9.600e-04, eta: 1:33:22, time: 0.774, data_time: 0.014, memory: 8333, top1_acc: 0.8333, top5_acc: 0.9594, loss_cls: 0.7690, loss: 0.7690, grad_norm: 2.9871 2020-10-22 19:09:47,929 - mmaction - INFO - Epoch [34][20/50] lr: 9.600e-04, eta: 1:31:54, time: 2.066, data_time: 1.272, memory: 8333, top1_acc: 0.8469, top5_acc: 0.9630, loss_cls: 0.7234, loss: 0.7234, grad_norm: 2.9661 2020-10-22 19:10:02,234 - mmaction - INFO - Epoch [34][40/50] lr: 9.600e-04, eta: 1:30:34, time: 0.715, data_time: 0.014, memory: 8333, top1_acc: 0.8448, top5_acc: 0.9682, loss_cls: 0.7011, loss: 0.7011, grad_norm: 3.0010 2020-10-22 19:10:49,932 - mmaction - INFO - Epoch [35][20/50] lr: 9.600e-04, eta: 1:29:08, time: 2.020, data_time: 1.298, memory: 8333, top1_acc: 0.8375, top5_acc: 0.9648, loss_cls: 0.7251, loss: 0.7251, grad_norm: 3.0358 2020-10-22 19:11:02,938 - mmaction - INFO - Epoch [35][40/50] lr: 9.600e-04, eta: 1:27:49, time: 0.650, data_time: 0.013, memory: 8333, top1_acc: 0.8424, top5_acc: 0.9651, loss_cls: 0.7150, loss: 0.7150, grad_norm: 2.9972 2020-10-22 19:11:10,674 - mmaction - INFO - Saving checkpoint at 35 epochs 2020-10-22 19:11:34,338 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:11:34,369 - mmaction - INFO - top1_acc 0.7991 top5_acc 0.9630 2020-10-22 19:11:34,370 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:11:34,376 - mmaction - INFO - mean_acc 0.7949 2020-10-22 19:11:34,377 - mmaction - INFO - Now best checkpoint is epoch_35.pth 2020-10-22 19:11:34,382 - mmaction - INFO - Epoch(val) [35][50] top1_acc: 0.7991, top5_acc: 0.9630, mean_class_accuracy: 0.7949 2020-10-22 19:12:13,394 - mmaction - INFO - Epoch [36][20/50] lr: 9.600e-04, eta: 1:26:23, time: 1.950, data_time: 1.112, memory: 8333, top1_acc: 0.8560, top5_acc: 0.9680, loss_cls: 0.6750, loss: 0.6750, grad_norm: 2.9063 2020-10-22 19:12:27,259 - mmaction - INFO - Epoch [36][40/50] lr: 9.600e-04, eta: 1:25:09, time: 0.693, data_time: 0.012, memory: 8333, top1_acc: 0.8560, top5_acc: 0.9656, loss_cls: 0.6843, loss: 0.6843, grad_norm: 2.9612 2020-10-22 19:13:14,787 - mmaction - INFO - Epoch [37][20/50] lr: 9.600e-04, eta: 1:23:49, time: 2.043, data_time: 1.266, memory: 8333, top1_acc: 0.8518, top5_acc: 0.9638, loss_cls: 0.6797, loss: 0.6797, grad_norm: 3.0646 2020-10-22 19:13:27,870 - mmaction - INFO - Epoch [37][40/50] lr: 9.600e-04, eta: 1:22:36, time: 0.654, data_time: 0.010, memory: 8333, top1_acc: 0.8445, top5_acc: 0.9638, loss_cls: 0.6874, loss: 0.6874, grad_norm: 3.0594 2020-10-22 19:14:12,079 - mmaction - INFO - Epoch [38][20/50] lr: 9.600e-04, eta: 1:21:15, time: 1.889, data_time: 1.164, memory: 8333, top1_acc: 0.8581, top5_acc: 0.9677, loss_cls: 0.6715, loss: 0.6715, grad_norm: 3.0884 2020-10-22 19:14:23,824 - mmaction - INFO - Epoch [38][40/50] lr: 9.600e-04, eta: 1:20:03, time: 0.587, data_time: 0.013, memory: 8333, top1_acc: 0.8633, top5_acc: 0.9682, loss_cls: 0.6386, loss: 0.6386, grad_norm: 2.9526 2020-10-22 19:15:09,567 - mmaction - INFO - Epoch [39][20/50] lr: 9.600e-04, eta: 1:18:46, time: 1.954, data_time: 1.301, memory: 8333, top1_acc: 0.8742, top5_acc: 0.9711, loss_cls: 0.6083, loss: 0.6083, grad_norm: 2.9434 2020-10-22 19:15:21,252 - mmaction - INFO - Epoch [39][40/50] lr: 9.600e-04, eta: 1:17:36, time: 0.584, data_time: 0.010, memory: 8333, top1_acc: 0.8664, top5_acc: 0.9708, loss_cls: 0.6168, loss: 0.6168, grad_norm: 3.0399 2020-10-22 19:16:05,683 - mmaction - INFO - Epoch [40][20/50] lr: 9.600e-04, eta: 1:16:21, time: 1.905, data_time: 1.334, memory: 8333, top1_acc: 0.8742, top5_acc: 0.9732, loss_cls: 0.6031, loss: 0.6031, grad_norm: 2.9564 2020-10-22 19:16:17,432 - mmaction - INFO - Epoch [40][40/50] lr: 9.600e-04, eta: 1:15:14, time: 0.588, data_time: 0.013, memory: 8333, top1_acc: 0.8693, top5_acc: 0.9721, loss_cls: 0.6181, loss: 0.6181, grad_norm: 2.9743 2020-10-22 19:16:23,819 - mmaction - INFO - Saving checkpoint at 40 epochs 2020-10-22 19:16:49,159 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:16:49,190 - mmaction - INFO - top1_acc 0.8068 top5_acc 0.9638 2020-10-22 19:16:49,190 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:16:49,197 - mmaction - INFO - mean_acc 0.8033 2020-10-22 19:16:49,197 - mmaction - INFO - Now best checkpoint is epoch_40.pth 2020-10-22 19:16:49,202 - mmaction - INFO - Epoch(val) [40][50] top1_acc: 0.8068, top5_acc: 0.9638, mean_class_accuracy: 0.8033 2020-10-22 19:17:27,144 - mmaction - INFO - Epoch [41][20/50] lr: 9.600e-04, eta: 1:14:00, time: 1.896, data_time: 1.273, memory: 8333, top1_acc: 0.8688, top5_acc: 0.9674, loss_cls: 0.6015, loss: 0.6015, grad_norm: 3.0466 2020-10-22 19:17:38,957 - mmaction - INFO - Epoch [41][40/50] lr: 9.600e-04, eta: 1:12:55, time: 0.591, data_time: 0.013, memory: 8333, top1_acc: 0.8745, top5_acc: 0.9701, loss_cls: 0.5932, loss: 0.5932, grad_norm: 3.0033 2020-10-22 19:18:22,856 - mmaction - INFO - Epoch [42][20/50] lr: 9.600e-04, eta: 1:11:43, time: 1.882, data_time: 1.122, memory: 8333, top1_acc: 0.8820, top5_acc: 0.9716, loss_cls: 0.5829, loss: 0.5829, grad_norm: 2.9833 2020-10-22 19:18:34,692 - mmaction - INFO - Epoch [42][40/50] lr: 9.600e-04, eta: 1:10:41, time: 0.591, data_time: 0.013, memory: 8333, top1_acc: 0.8750, top5_acc: 0.9724, loss_cls: 0.5994, loss: 0.5994, grad_norm: 3.0282 2020-10-22 19:19:19,858 - mmaction - INFO - Epoch [43][20/50] lr: 9.600e-04, eta: 1:09:32, time: 1.945, data_time: 1.251, memory: 8333, top1_acc: 0.8836, top5_acc: 0.9734, loss_cls: 0.5557, loss: 0.5557, grad_norm: 3.0363 2020-10-22 19:19:31,612 - mmaction - INFO - Epoch [43][40/50] lr: 9.600e-04, eta: 1:08:31, time: 0.586, data_time: 0.009, memory: 8333, top1_acc: 0.8784, top5_acc: 0.9753, loss_cls: 0.5645, loss: 0.5645, grad_norm: 2.9598 2020-10-22 19:20:16,010 - mmaction - INFO - Epoch [44][20/50] lr: 9.600e-04, eta: 1:07:24, time: 1.910, data_time: 1.085, memory: 8333, top1_acc: 0.8880, top5_acc: 0.9753, loss_cls: 0.5432, loss: 0.5432, grad_norm: 2.9137 2020-10-22 19:20:27,717 - mmaction - INFO - Epoch [44][40/50] lr: 9.600e-04, eta: 1:06:25, time: 0.585, data_time: 0.008, memory: 8333, top1_acc: 0.8792, top5_acc: 0.9758, loss_cls: 0.5531, loss: 0.5531, grad_norm: 3.0657 2020-10-22 19:21:10,946 - mmaction - INFO - Epoch [45][20/50] lr: 9.600e-04, eta: 1:05:18, time: 1.854, data_time: 1.053, memory: 8333, top1_acc: 0.8833, top5_acc: 0.9745, loss_cls: 0.5404, loss: 0.5404, grad_norm: 3.0548 2020-10-22 19:21:22,655 - mmaction - INFO - Epoch [45][40/50] lr: 9.600e-04, eta: 1:04:21, time: 0.585, data_time: 0.008, memory: 8333, top1_acc: 0.8815, top5_acc: 0.9760, loss_cls: 0.5294, loss: 0.5294, grad_norm: 3.0150 2020-10-22 19:21:28,831 - mmaction - INFO - Saving checkpoint at 45 epochs 2020-10-22 19:21:53,521 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:21:53,553 - mmaction - INFO - top1_acc 0.8102 top5_acc 0.9646 2020-10-22 19:21:53,553 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:21:53,560 - mmaction - INFO - mean_acc 0.8068 2020-10-22 19:21:53,560 - mmaction - INFO - Now best checkpoint is epoch_45.pth 2020-10-22 19:21:53,565 - mmaction - INFO - Epoch(val) [45][50] top1_acc: 0.8102, top5_acc: 0.9646, mean_class_accuracy: 0.8068 2020-10-22 19:22:32,883 - mmaction - INFO - Epoch [46][20/50] lr: 9.600e-04, eta: 1:03:18, time: 1.965, data_time: 1.278, memory: 8333, top1_acc: 0.8781, top5_acc: 0.9719, loss_cls: 0.5527, loss: 0.5527, grad_norm: 3.1153 2020-10-22 19:22:44,545 - mmaction - INFO - Epoch [46][40/50] lr: 9.600e-04, eta: 1:02:22, time: 0.583, data_time: 0.006, memory: 8333, top1_acc: 0.8896, top5_acc: 0.9753, loss_cls: 0.5183, loss: 0.5183, grad_norm: 2.9995 2020-10-22 19:23:28,679 - mmaction - INFO - Epoch [47][20/50] lr: 9.600e-04, eta: 1:01:19, time: 1.895, data_time: 1.174, memory: 8333, top1_acc: 0.8865, top5_acc: 0.9737, loss_cls: 0.5333, loss: 0.5333, grad_norm: 3.1006 2020-10-22 19:23:41,642 - mmaction - INFO - Epoch [47][40/50] lr: 9.600e-04, eta: 1:00:26, time: 0.648, data_time: 0.003, memory: 8333, top1_acc: 0.8909, top5_acc: 0.9753, loss_cls: 0.5038, loss: 0.5038, grad_norm: 2.9684 2020-10-22 19:24:25,842 - mmaction - INFO - Epoch [48][20/50] lr: 9.600e-04, eta: 0:59:24, time: 1.869, data_time: 1.289, memory: 8333, top1_acc: 0.8867, top5_acc: 0.9724, loss_cls: 0.5286, loss: 0.5286, grad_norm: 3.1384 2020-10-22 19:24:37,444 - mmaction - INFO - Epoch [48][40/50] lr: 9.600e-04, eta: 0:58:32, time: 0.580, data_time: 0.002, memory: 8333, top1_acc: 0.8927, top5_acc: 0.9763, loss_cls: 0.5004, loss: 0.5004, grad_norm: 2.9586 2020-10-22 19:25:20,834 - mmaction - INFO - Epoch [49][20/50] lr: 9.600e-04, eta: 0:57:31, time: 1.856, data_time: 1.276, memory: 8333, top1_acc: 0.8930, top5_acc: 0.9773, loss_cls: 0.4908, loss: 0.4908, grad_norm: 2.9779 2020-10-22 19:25:32,509 - mmaction - INFO - Epoch [49][40/50] lr: 9.600e-04, eta: 0:56:39, time: 0.583, data_time: 0.005, memory: 8333, top1_acc: 0.8943, top5_acc: 0.9792, loss_cls: 0.4846, loss: 0.4846, grad_norm: 3.0576 2020-10-22 19:26:16,910 - mmaction - INFO - Epoch [50][20/50] lr: 9.600e-04, eta: 0:55:40, time: 1.910, data_time: 1.291, memory: 8333, top1_acc: 0.8932, top5_acc: 0.9719, loss_cls: 0.4911, loss: 0.4911, grad_norm: 3.0719 2020-10-22 19:26:28,503 - mmaction - INFO - Epoch [50][40/50] lr: 9.600e-04, eta: 0:54:50, time: 0.580, data_time: 0.005, memory: 8333, top1_acc: 0.9000, top5_acc: 0.9771, loss_cls: 0.4885, loss: 0.4885, grad_norm: 3.0427 2020-10-22 19:26:34,721 - mmaction - INFO - Saving checkpoint at 50 epochs 2020-10-22 19:27:00,294 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:27:00,326 - mmaction - INFO - top1_acc 0.8123 top5_acc 0.9667 2020-10-22 19:27:00,326 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:27:00,333 - mmaction - INFO - mean_acc 0.8099 2020-10-22 19:27:00,333 - mmaction - INFO - Now best checkpoint is epoch_50.pth 2020-10-22 19:27:00,338 - mmaction - INFO - Epoch(val) [50][50] top1_acc: 0.8123, top5_acc: 0.9667, mean_class_accuracy: 0.8099 2020-10-22 19:27:36,982 - mmaction - INFO - Epoch [51][20/50] lr: 9.600e-04, eta: 0:53:51, time: 1.832, data_time: 1.213, memory: 8333, top1_acc: 0.9023, top5_acc: 0.9786, loss_cls: 0.4644, loss: 0.4644, grad_norm: 2.9577 2020-10-22 19:27:48,689 - mmaction - INFO - Epoch [51][40/50] lr: 9.600e-04, eta: 0:53:03, time: 0.585, data_time: 0.002, memory: 8333, top1_acc: 0.9003, top5_acc: 0.9781, loss_cls: 0.4644, loss: 0.4644, grad_norm: 3.0144 2020-10-22 19:28:32,052 - mmaction - INFO - Epoch [52][20/50] lr: 9.600e-04, eta: 0:52:05, time: 1.854, data_time: 1.226, memory: 8333, top1_acc: 0.9005, top5_acc: 0.9742, loss_cls: 0.4685, loss: 0.4685, grad_norm: 2.9665 2020-10-22 19:28:43,651 - mmaction - INFO - Epoch [52][40/50] lr: 9.600e-04, eta: 0:51:17, time: 0.580, data_time: 0.003, memory: 8333, top1_acc: 0.9034, top5_acc: 0.9818, loss_cls: 0.4535, loss: 0.4535, grad_norm: 3.0404 2020-10-22 19:29:24,795 - mmaction - INFO - Epoch [53][20/50] lr: 9.600e-04, eta: 0:50:20, time: 1.748, data_time: 1.157, memory: 8333, top1_acc: 0.9083, top5_acc: 0.9799, loss_cls: 0.4353, loss: 0.4353, grad_norm: 2.9984 2020-10-22 19:29:36,455 - mmaction - INFO - Epoch [53][40/50] lr: 9.600e-04, eta: 0:49:33, time: 0.582, data_time: 0.004, memory: 8333, top1_acc: 0.8961, top5_acc: 0.9792, loss_cls: 0.4577, loss: 0.4577, grad_norm: 3.1188 2020-10-22 19:30:19,149 - mmaction - INFO - Epoch [54][20/50] lr: 9.600e-04, eta: 0:48:37, time: 1.825, data_time: 1.198, memory: 8333, top1_acc: 0.9130, top5_acc: 0.9844, loss_cls: 0.4211, loss: 0.4211, grad_norm: 2.9228 2020-10-22 19:30:30,733 - mmaction - INFO - Epoch [54][40/50] lr: 9.600e-04, eta: 0:47:52, time: 0.578, data_time: 0.002, memory: 8333, top1_acc: 0.9214, top5_acc: 0.9857, loss_cls: 0.4011, loss: 0.4011, grad_norm: 2.9159 2020-10-22 19:31:13,118 - mmaction - INFO - Epoch [55][20/50] lr: 9.600e-04, eta: 0:46:56, time: 1.806, data_time: 1.218, memory: 8333, top1_acc: 0.9068, top5_acc: 0.9805, loss_cls: 0.4223, loss: 0.4223, grad_norm: 2.9456 2020-10-22 19:31:24,719 - mmaction - INFO - Epoch [55][40/50] lr: 9.600e-04, eta: 0:46:12, time: 0.580, data_time: 0.004, memory: 8333, top1_acc: 0.9094, top5_acc: 0.9792, loss_cls: 0.4402, loss: 0.4402, grad_norm: 3.1169 2020-10-22 19:31:30,838 - mmaction - INFO - Saving checkpoint at 55 epochs 2020-10-22 19:31:55,079 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:31:55,112 - mmaction - INFO - top1_acc 0.8094 top5_acc 0.9630 2020-10-22 19:31:55,112 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:31:55,119 - mmaction - INFO - mean_acc 0.8075 2020-10-22 19:31:55,120 - mmaction - INFO - Epoch(val) [55][50] top1_acc: 0.8094, top5_acc: 0.9630, mean_class_accuracy: 0.8075 2020-10-22 19:32:31,017 - mmaction - INFO - Epoch [56][20/50] lr: 9.600e-04, eta: 0:45:18, time: 1.795, data_time: 1.205, memory: 8333, top1_acc: 0.9083, top5_acc: 0.9773, loss_cls: 0.4255, loss: 0.4255, grad_norm: 2.9644 2020-10-22 19:32:42,550 - mmaction - INFO - Epoch [56][40/50] lr: 9.600e-04, eta: 0:44:34, time: 0.577, data_time: 0.002, memory: 8333, top1_acc: 0.9104, top5_acc: 0.9771, loss_cls: 0.4144, loss: 0.4144, grad_norm: 2.9181 2020-10-22 19:33:23,747 - mmaction - INFO - Epoch [57][20/50] lr: 9.600e-04, eta: 0:43:40, time: 1.748, data_time: 0.959, memory: 8333, top1_acc: 0.9063, top5_acc: 0.9773, loss_cls: 0.4290, loss: 0.4290, grad_norm: 3.0785 2020-10-22 19:33:35,284 - mmaction - INFO - Epoch [57][40/50] lr: 9.600e-04, eta: 0:42:57, time: 0.577, data_time: 0.004, memory: 8333, top1_acc: 0.9104, top5_acc: 0.9797, loss_cls: 0.4193, loss: 0.4193, grad_norm: 3.0342 2020-10-22 19:34:18,584 - mmaction - INFO - Epoch [58][20/50] lr: 9.600e-04, eta: 0:42:05, time: 1.856, data_time: 0.958, memory: 8333, top1_acc: 0.9135, top5_acc: 0.9815, loss_cls: 0.4077, loss: 0.4077, grad_norm: 3.0418 2020-10-22 19:34:30,131 - mmaction - INFO - Epoch [58][40/50] lr: 9.600e-04, eta: 0:41:23, time: 0.578, data_time: 0.003, memory: 8333, top1_acc: 0.9120, top5_acc: 0.9828, loss_cls: 0.4040, loss: 0.4040, grad_norm: 2.9332 2020-10-22 19:35:12,636 - mmaction - INFO - Epoch [59][20/50] lr: 9.600e-04, eta: 0:40:32, time: 1.818, data_time: 1.238, memory: 8333, top1_acc: 0.9148, top5_acc: 0.9799, loss_cls: 0.4085, loss: 0.4085, grad_norm: 2.9745 2020-10-22 19:35:24,209 - mmaction - INFO - Epoch [59][40/50] lr: 9.600e-04, eta: 0:39:51, time: 0.579, data_time: 0.004, memory: 8333, top1_acc: 0.9151, top5_acc: 0.9815, loss_cls: 0.3861, loss: 0.3861, grad_norm: 2.9781 2020-10-22 19:36:06,194 - mmaction - INFO - Epoch [60][20/50] lr: 9.600e-04, eta: 0:39:00, time: 1.788, data_time: 1.190, memory: 8333, top1_acc: 0.9146, top5_acc: 0.9820, loss_cls: 0.4016, loss: 0.4016, grad_norm: 3.0580 2020-10-22 19:36:17,786 - mmaction - INFO - Epoch [60][40/50] lr: 9.600e-04, eta: 0:38:19, time: 0.580, data_time: 0.002, memory: 8333, top1_acc: 0.9177, top5_acc: 0.9799, loss_cls: 0.3893, loss: 0.3893, grad_norm: 3.0385 2020-10-22 19:36:23,961 - mmaction - INFO - Saving checkpoint at 60 epochs 2020-10-22 19:36:49,259 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:36:49,288 - mmaction - INFO - top1_acc 0.8121 top5_acc 0.9590 2020-10-22 19:36:49,288 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:36:49,294 - mmaction - INFO - mean_acc 0.8101 2020-10-22 19:36:49,295 - mmaction - INFO - Epoch(val) [60][50] top1_acc: 0.8121, top5_acc: 0.9590, mean_class_accuracy: 0.8101 2020-10-22 19:37:23,576 - mmaction - INFO - Epoch [61][20/50] lr: 9.600e-04, eta: 0:37:28, time: 1.712, data_time: 1.122, memory: 8333, top1_acc: 0.9211, top5_acc: 0.9844, loss_cls: 0.3798, loss: 0.3798, grad_norm: 2.9858 2020-10-22 19:37:35,144 - mmaction - INFO - Epoch [61][40/50] lr: 9.600e-04, eta: 0:36:49, time: 0.579, data_time: 0.004, memory: 8333, top1_acc: 0.9148, top5_acc: 0.9813, loss_cls: 0.3909, loss: 0.3909, grad_norm: 3.0570 2020-10-22 19:38:16,349 - mmaction - INFO - Epoch [62][20/50] lr: 9.600e-04, eta: 0:35:58, time: 1.755, data_time: 1.169, memory: 8333, top1_acc: 0.9128, top5_acc: 0.9807, loss_cls: 0.3968, loss: 0.3968, grad_norm: 3.0544 2020-10-22 19:38:27,856 - mmaction - INFO - Epoch [62][40/50] lr: 9.600e-04, eta: 0:35:20, time: 0.576, data_time: 0.003, memory: 8333, top1_acc: 0.9146, top5_acc: 0.9826, loss_cls: 0.3853, loss: 0.3853, grad_norm: 3.0740 2020-10-22 19:39:09,570 - mmaction - INFO - Epoch [63][20/50] lr: 9.600e-04, eta: 0:34:30, time: 1.777, data_time: 0.941, memory: 8333, top1_acc: 0.9174, top5_acc: 0.9820, loss_cls: 0.3726, loss: 0.3726, grad_norm: 2.9594 2020-10-22 19:39:21,136 - mmaction - INFO - Epoch [63][40/50] lr: 9.600e-04, eta: 0:33:52, time: 0.578, data_time: 0.003, memory: 8333, top1_acc: 0.9216, top5_acc: 0.9826, loss_cls: 0.3662, loss: 0.3662, grad_norm: 3.0266 2020-10-22 19:40:03,596 - mmaction - INFO - Epoch [64][20/50] lr: 9.600e-04, eta: 0:33:04, time: 1.817, data_time: 1.197, memory: 8333, top1_acc: 0.9201, top5_acc: 0.9839, loss_cls: 0.3615, loss: 0.3615, grad_norm: 2.9589 2020-10-22 19:40:15,103 - mmaction - INFO - Epoch [64][40/50] lr: 9.600e-04, eta: 0:32:27, time: 0.575, data_time: 0.001, memory: 8333, top1_acc: 0.9284, top5_acc: 0.9849, loss_cls: 0.3468, loss: 0.3468, grad_norm: 2.9421 2020-10-22 19:40:57,455 - mmaction - INFO - Epoch [65][20/50] lr: 9.600e-04, eta: 0:31:39, time: 1.808, data_time: 1.233, memory: 8333, top1_acc: 0.9185, top5_acc: 0.9836, loss_cls: 0.3691, loss: 0.3691, grad_norm: 3.0672 2020-10-22 19:41:08,986 - mmaction - INFO - Epoch [65][40/50] lr: 9.600e-04, eta: 0:31:02, time: 0.576, data_time: 0.002, memory: 8333, top1_acc: 0.9190, top5_acc: 0.9841, loss_cls: 0.3676, loss: 0.3676, grad_norm: 3.0091 2020-10-22 19:41:15,154 - mmaction - INFO - Saving checkpoint at 65 epochs 2020-10-22 19:41:41,275 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:41:41,304 - mmaction - INFO - top1_acc 0.8131 top5_acc 0.9601 2020-10-22 19:41:41,305 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:41:41,311 - mmaction - INFO - mean_acc 0.8114 2020-10-22 19:41:41,311 - mmaction - INFO - Now best checkpoint is epoch_65.pth 2020-10-22 19:41:41,317 - mmaction - INFO - Epoch(val) [65][50] top1_acc: 0.8131, top5_acc: 0.9601, mean_class_accuracy: 0.8114 2020-10-22 19:42:17,711 - mmaction - INFO - Epoch [66][20/50] lr: 9.600e-04, eta: 0:30:15, time: 1.819, data_time: 1.171, memory: 8333, top1_acc: 0.9224, top5_acc: 0.9867, loss_cls: 0.3485, loss: 0.3485, grad_norm: 2.9319 2020-10-22 19:42:29,258 - mmaction - INFO - Epoch [66][40/50] lr: 9.600e-04, eta: 0:29:38, time: 0.577, data_time: 0.003, memory: 8333, top1_acc: 0.9214, top5_acc: 0.9836, loss_cls: 0.3590, loss: 0.3590, grad_norm: 2.9834 2020-10-22 19:43:11,131 - mmaction - INFO - Epoch [67][20/50] lr: 9.600e-04, eta: 0:28:51, time: 1.785, data_time: 0.966, memory: 8333, top1_acc: 0.9328, top5_acc: 0.9872, loss_cls: 0.3261, loss: 0.3261, grad_norm: 2.9580 2020-10-22 19:43:22,748 - mmaction - INFO - Epoch [67][40/50] lr: 9.600e-04, eta: 0:28:16, time: 0.582, data_time: 0.004, memory: 8333, top1_acc: 0.9234, top5_acc: 0.9802, loss_cls: 0.3595, loss: 0.3595, grad_norm: 3.0657 2020-10-22 19:44:04,408 - mmaction - INFO - Epoch [68][20/50] lr: 9.600e-04, eta: 0:27:29, time: 1.775, data_time: 1.196, memory: 8333, top1_acc: 0.9206, top5_acc: 0.9865, loss_cls: 0.3478, loss: 0.3478, grad_norm: 3.1006 2020-10-22 19:44:15,908 - mmaction - INFO - Epoch [68][40/50] lr: 9.600e-04, eta: 0:26:54, time: 0.575, data_time: 0.002, memory: 8333, top1_acc: 0.9297, top5_acc: 0.9867, loss_cls: 0.3353, loss: 0.3353, grad_norm: 3.0361 2020-10-22 19:44:57,220 - mmaction - INFO - Epoch [69][20/50] lr: 9.600e-04, eta: 0:26:08, time: 1.760, data_time: 0.968, memory: 8333, top1_acc: 0.9245, top5_acc: 0.9844, loss_cls: 0.3344, loss: 0.3344, grad_norm: 3.0330 2020-10-22 19:45:08,737 - mmaction - INFO - Epoch [69][40/50] lr: 9.600e-04, eta: 0:25:33, time: 0.576, data_time: 0.002, memory: 8333, top1_acc: 0.9297, top5_acc: 0.9852, loss_cls: 0.3352, loss: 0.3352, grad_norm: 3.0020 2020-10-22 19:45:50,390 - mmaction - INFO - Epoch [70][20/50] lr: 9.600e-04, eta: 0:24:48, time: 1.774, data_time: 1.185, memory: 8333, top1_acc: 0.9333, top5_acc: 0.9888, loss_cls: 0.3142, loss: 0.3142, grad_norm: 2.9206 2020-10-22 19:46:01,925 - mmaction - INFO - Epoch [70][40/50] lr: 9.600e-04, eta: 0:24:14, time: 0.577, data_time: 0.002, memory: 8333, top1_acc: 0.9279, top5_acc: 0.9862, loss_cls: 0.3276, loss: 0.3276, grad_norm: 3.0224 2020-10-22 19:46:08,095 - mmaction - INFO - Saving checkpoint at 70 epochs 2020-10-22 19:46:32,155 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:46:32,187 - mmaction - INFO - top1_acc 0.8224 top5_acc 0.9617 2020-10-22 19:46:32,187 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:46:32,193 - mmaction - INFO - mean_acc 0.8203 2020-10-22 19:46:32,193 - mmaction - INFO - Now best checkpoint is epoch_70.pth 2020-10-22 19:46:32,199 - mmaction - INFO - Epoch(val) [70][50] top1_acc: 0.8224, top5_acc: 0.9617, mean_class_accuracy: 0.8203 2020-10-22 19:47:07,381 - mmaction - INFO - Epoch [71][20/50] lr: 9.600e-04, eta: 0:23:28, time: 1.758, data_time: 1.147, memory: 8333, top1_acc: 0.9258, top5_acc: 0.9820, loss_cls: 0.3362, loss: 0.3362, grad_norm: 3.0220 2020-10-22 19:47:18,955 - mmaction - INFO - Epoch [71][40/50] lr: 9.600e-04, eta: 0:22:55, time: 0.579, data_time: 0.002, memory: 8333, top1_acc: 0.9263, top5_acc: 0.9852, loss_cls: 0.3359, loss: 0.3359, grad_norm: 3.1366 2020-10-22 19:48:01,331 - mmaction - INFO - Epoch [72][20/50] lr: 9.600e-04, eta: 0:22:10, time: 1.808, data_time: 1.086, memory: 8333, top1_acc: 0.9346, top5_acc: 0.9857, loss_cls: 0.3112, loss: 0.3112, grad_norm: 2.8765 2020-10-22 19:48:12,891 - mmaction - INFO - Epoch [72][40/50] lr: 9.600e-04, eta: 0:21:37, time: 0.578, data_time: 0.001, memory: 8333, top1_acc: 0.9266, top5_acc: 0.9833, loss_cls: 0.3266, loss: 0.3266, grad_norm: 3.0674 2020-10-22 19:48:55,571 - mmaction - INFO - Epoch [73][20/50] lr: 9.600e-04, eta: 0:20:53, time: 1.826, data_time: 1.251, memory: 8333, top1_acc: 0.9255, top5_acc: 0.9828, loss_cls: 0.3363, loss: 0.3363, grad_norm: 3.0865 2020-10-22 19:49:07,069 - mmaction - INFO - Epoch [73][40/50] lr: 9.600e-04, eta: 0:20:20, time: 0.575, data_time: 0.002, memory: 8333, top1_acc: 0.9284, top5_acc: 0.9870, loss_cls: 0.3214, loss: 0.3214, grad_norm: 3.0367 2020-10-22 19:49:48,207 - mmaction - INFO - Epoch [74][20/50] lr: 9.600e-04, eta: 0:19:36, time: 1.744, data_time: 1.160, memory: 8333, top1_acc: 0.9349, top5_acc: 0.9872, loss_cls: 0.3098, loss: 0.3098, grad_norm: 2.9640 2020-10-22 19:49:59,769 - mmaction - INFO - Epoch [74][40/50] lr: 9.600e-04, eta: 0:19:04, time: 0.579, data_time: 0.002, memory: 8333, top1_acc: 0.9323, top5_acc: 0.9852, loss_cls: 0.3166, loss: 0.3166, grad_norm: 2.9293 2020-10-22 19:50:41,084 - mmaction - INFO - Epoch [75][20/50] lr: 9.600e-04, eta: 0:18:20, time: 1.757, data_time: 1.159, memory: 8333, top1_acc: 0.9341, top5_acc: 0.9846, loss_cls: 0.3147, loss: 0.3147, grad_norm: 3.0355 2020-10-22 19:50:52,653 - mmaction - INFO - Epoch [75][40/50] lr: 9.600e-04, eta: 0:17:49, time: 0.579, data_time: 0.002, memory: 8333, top1_acc: 0.9401, top5_acc: 0.9844, loss_cls: 0.2995, loss: 0.2995, grad_norm: 2.8677 2020-10-22 19:50:58,787 - mmaction - INFO - Saving checkpoint at 75 epochs 2020-10-22 19:51:23,790 - mmaction - INFO - Evaluating top_k_accuracy... 2020-10-22 19:51:23,822 - mmaction - INFO - top1_acc 0.8226 top5_acc 0.9611 2020-10-22 19:51:23,822 - mmaction - INFO - Evaluating mean_class_accuracy... 2020-10-22 19:51:23,832 - mmaction - INFO - mean_acc 0.8205 2020-10-22 19:51:23,832 - mmaction - INFO - Now best checkpoint is epoch_75.pth 2020-10-22 19:51:23,837 - mmaction - INFO - Epoch(val) [75][50] top1_acc: 0.8226, top5_acc: 0.9611, mean_class_accuracy: 0.8205